From 85c58e0e6c348dca12cb2a93d1969ed1c0075b35 Mon Sep 17 00:00:00 2001
From: ksneab7 <91956551+ksneab7@users.noreply.github.com>
Date: Mon, 7 Aug 2023 14:09:28 -0400
Subject: [PATCH] Update docs to 0.10.3 (#1011)

* Add docs to `multiprocess` option in StructuredOptions. (#999) (#1001)

* Update multiprocess docs.

* Default settings added to docs

* Fix hyperlink to profiler options  (#1003)

* update

* EOF line

* Add docs for `num_quantiles` option for histogram_and_quantiles. (#991) (#993)

* Add docs for `num_quantiles` option for histgram_and_quantiles.

* Slight readability change

* 0.10.3 generation of docs round 4

---------

Co-authored-by: clee1152 <chrislee011502@gmail.com>
Co-authored-by: jacob-buehler <86370501+jacob-buehler@users.noreply.github.com>
---
 docs/0.10.3/doctrees/API.doctree              |   Bin 0 -> 3801 bytes
 .../add_new_model_to_data_labeler.doctree     |   Bin 0 -> 40612 bytes
 .../column_name_labeler_example.doctree       |   Bin 0 -> 35588 bytes
 docs/0.10.3/doctrees/data_labeling.doctree    |   Bin 0 -> 51637 bytes
 docs/0.10.3/doctrees/data_reader.doctree      |   Bin 0 -> 65282 bytes
 docs/0.10.3/doctrees/data_readers.doctree     |   Bin 0 -> 32150 bytes
 ...ataprofiler.data_readers.avro_data.doctree |   Bin 0 -> 53655 bytes
 ...ataprofiler.data_readers.base_data.doctree |   Bin 0 -> 38505 bytes
 ...dataprofiler.data_readers.csv_data.doctree |   Bin 0 -> 60445 bytes
 .../dataprofiler.data_readers.data.doctree    |   Bin 0 -> 17090 bytes
 ...taprofiler.data_readers.data_utils.doctree |   Bin 0 -> 166492 bytes
 .../dataprofiler.data_readers.doctree         |   Bin 0 -> 4751 bytes
 ...er.data_readers.filepath_or_buffer.doctree |   Bin 0 -> 23326 bytes
 ...taprofiler.data_readers.graph_data.doctree |   Bin 0 -> 54908 bytes
 ...ataprofiler.data_readers.json_data.doctree |   Bin 0 -> 56476 bytes
 ...profiler.data_readers.parquet_data.doctree |   Bin 0 -> 52869 bytes
 ...ler.data_readers.structured_mixins.doctree |   Bin 0 -> 12097 bytes
 ...ataprofiler.data_readers.text_data.doctree |   Bin 0 -> 51851 bytes
 docs/0.10.3/doctrees/dataprofiler.doctree     |   Bin 0 -> 5979 bytes
 .../doctrees/dataprofiler.dp_logging.doctree  |   Bin 0 -> 11370 bytes
 ...rofiler.labelers.base_data_labeler.doctree |   Bin 0 -> 220582 bytes
 .../dataprofiler.labelers.base_model.doctree  |   Bin 0 -> 156461 bytes
 ...ofiler.labelers.char_load_tf_model.doctree |   Bin 0 -> 90531 bytes
 ...labelers.character_level_cnn_model.doctree |   Bin 0 -> 101599 bytes
 ...belers.classification_report_utils.doctree |   Bin 0 -> 84114 bytes
 ...rofiler.labelers.column_name_model.doctree |   Bin 0 -> 66841 bytes
 ...ataprofiler.labelers.data_labelers.doctree |   Bin 0 -> 248437 bytes
 ...aprofiler.labelers.data_processing.doctree |   Bin 0 -> 565765 bytes
 .../doctrees/dataprofiler.labelers.doctree    |   Bin 0 -> 11233 bytes
 ...ataprofiler.labelers.labeler_utils.doctree |   Bin 0 -> 545872 bytes
 .../dataprofiler.labelers.regex_model.doctree |   Bin 0 -> 73328 bytes
 .../dataprofiler.labelers.utils.doctree       |   Bin 0 -> 12980 bytes
 ...er.profilers.base_column_profilers.doctree |   Bin 0 -> 76419 bytes
 ...ofilers.categorical_column_profile.doctree |   Bin 0 -> 61390 bytes
 ...profilers.column_profile_compilers.doctree |   Bin 0 -> 178393 bytes
 ...filers.data_labeler_column_profile.doctree |   Bin 0 -> 66421 bytes
 ....profilers.datetime_column_profile.doctree |   Bin 0 -> 48159 bytes
 .../doctrees/dataprofiler.profilers.doctree   |   Bin 0 -> 5238 bytes
 ...ler.profilers.float_column_profile.doctree |   Bin 0 -> 84250 bytes
 ...aprofiler.profilers.graph_profiler.doctree |   Bin 0 -> 37821 bytes
 .../dataprofiler.profilers.helpers.doctree    |   Bin 0 -> 13352 bytes
 ...r.profilers.helpers.report_helpers.doctree |   Bin 0 -> 20133 bytes
 ...profiler.profilers.histogram_utils.doctree |   Bin 0 -> 4361 bytes
 ...filer.profilers.int_column_profile.doctree |   Bin 0 -> 81817 bytes
 ...ataprofiler.profilers.json_decoder.doctree |   Bin 0 -> 85194 bytes
 ...ataprofiler.profilers.json_encoder.doctree |   Bin 0 -> 25519 bytes
 ...r.profilers.numerical_column_stats.doctree |   Bin 0 -> 84175 bytes
 ...ler.profilers.order_column_profile.doctree |   Bin 0 -> 47478 bytes
 ...profiler.profilers.profile_builder.doctree |   Bin 0 -> 268990 bytes
 ...rofiler.profilers.profiler_options.doctree |   Bin 0 -> 757736 bytes
 ...aprofiler.profilers.profiler_utils.doctree |   Bin 0 -> 221850 bytes
 ...iler.profilers.text_column_profile.doctree |   Bin 0 -> 106277 bytes
 ...ilers.unstructured_labeler_profile.doctree |   Bin 0 -> 30575 bytes
 ...rofilers.unstructured_text_profile.doctree |   Bin 0 -> 28381 bytes
 .../dataprofiler.profilers.utils.doctree      |   Bin 0 -> 2343 bytes
 .../doctrees/dataprofiler.reports.doctree     |   Bin 0 -> 4198 bytes
 .../dataprofiler.reports.graphs.doctree       |   Bin 0 -> 3236 bytes
 .../dataprofiler.reports.utils.doctree        |   Bin 0 -> 13944 bytes
 .../doctrees/dataprofiler.rng_utils.doctree   |   Bin 0 -> 5342 bytes
 .../doctrees/dataprofiler.settings.doctree    |   Bin 0 -> 3158 bytes
 ...rofiler.validators.base_validators.doctree |   Bin 0 -> 26747 bytes
 .../doctrees/dataprofiler.validators.doctree  |   Bin 0 -> 4215 bytes
 .../doctrees/dataprofiler.version.doctree     |   Bin 0 -> 3171 bytes
 docs/0.10.3/doctrees/environment.pickle       |   Bin 0 -> 644754 bytes
 docs/0.10.3/doctrees/examples.doctree         |   Bin 0 -> 4722 bytes
 docs/0.10.3/doctrees/graph_data_demo.doctree  |   Bin 0 -> 26343 bytes
 docs/0.10.3/doctrees/graphs.doctree           |   Bin 0 -> 25599 bytes
 docs/0.10.3/doctrees/index.doctree            |   Bin 0 -> 63422 bytes
 docs/0.10.3/doctrees/install.doctree          |   Bin 0 -> 11886 bytes
 docs/0.10.3/doctrees/labeler.doctree          |   Bin 0 -> 46412 bytes
 .../doctrees/merge_profile_list.doctree       |   Bin 0 -> 11827 bytes
 docs/0.10.3/doctrees/modules.doctree          |   Bin 0 -> 2683 bytes
 .../add_new_model_to_data_labeler.ipynb       |   488 +
 .../column_name_labeler_example.ipynb         |   364 +
 .../doctrees/nbsphinx/data_reader.ipynb       |   689 +
 .../doctrees/nbsphinx/graph_data_demo.ipynb   |   271 +
 docs/0.10.3/doctrees/nbsphinx/labeler.ipynb   |   650 +
 .../nbsphinx/merge_profile_list.ipynb         |   159 +
 docs/0.10.3/doctrees/nbsphinx/overview.ipynb  |   470 +
 .../nbsphinx/popmon_dp_loader_example.ipynb   |   416 +
 .../doctrees/nbsphinx/profiler_example.ipynb  |   577 +
 .../nbsphinx/regex_labeler_from_scratch.ipynb |   444 +
 .../unstructured_profiler_example.ipynb       |   436 +
 docs/0.10.3/doctrees/overview.doctree         |   Bin 0 -> 39429 bytes
 .../doctrees/popmon_dp_loader_example.doctree |   Bin 0 -> 27533 bytes
 docs/0.10.3/doctrees/profiler.doctree         |   Bin 0 -> 215496 bytes
 docs/0.10.3/doctrees/profiler_example.doctree |   Bin 0 -> 47461 bytes
 .../regex_labeler_from_scratch.doctree        |   Bin 0 -> 42414 bytes
 .../unstructured_profiler_example.doctree     |   Bin 0 -> 36890 bytes
 docs/0.10.3/html/.buildinfo                   |     4 +
 docs/0.10.3/html/API.html                     |   293 +
 docs/0.10.3/html/_images/DL-Flowchart.png     |   Bin 0 -> 7609 bytes
 .../html/_images/histogram_example_0.png      |   Bin 0 -> 14056 bytes
 .../html/_images/histogram_example_1.png      |   Bin 0 -> 11387 bytes
 .../html/_images/histogram_example_2.png      |   Bin 0 -> 12592 bytes
 .../missing_value_barchart_example_0.png      |   Bin 0 -> 24758 bytes
 .../missing_value_matrix_example_0.png        |   Bin 0 -> 37730 bytes
 docs/0.10.3/html/_sources/API.rst.txt         |    16 +
 .../add_new_model_to_data_labeler.nblink.txt  |     3 +
 .../column_name_labeler_example.nblink.txt    |     3 +
 .../html/_sources/data_labeling.rst.txt       |   365 +
 .../html/_sources/data_reader.nblink.txt      |     3 +
 .../0.10.3/html/_sources/data_readers.rst.txt |   164 +
 ...ataprofiler.data_readers.avro_data.rst.txt |     7 +
 ...ataprofiler.data_readers.base_data.rst.txt |     7 +
 ...dataprofiler.data_readers.csv_data.rst.txt |     7 +
 .../dataprofiler.data_readers.data.rst.txt    |     7 +
 ...taprofiler.data_readers.data_utils.rst.txt |     7 +
 ...er.data_readers.filepath_or_buffer.rst.txt |     7 +
 ...taprofiler.data_readers.graph_data.rst.txt |     7 +
 ...ataprofiler.data_readers.json_data.rst.txt |     7 +
 ...profiler.data_readers.parquet_data.rst.txt |     7 +
 .../dataprofiler.data_readers.rst.txt         |    30 +
 ...ler.data_readers.structured_mixins.rst.txt |     7 +
 ...ataprofiler.data_readers.text_data.rst.txt |     7 +
 .../_sources/dataprofiler.dp_logging.rst.txt  |     7 +
 ...rofiler.labelers.base_data_labeler.rst.txt |     7 +
 .../dataprofiler.labelers.base_model.rst.txt  |     7 +
 ...ofiler.labelers.char_load_tf_model.rst.txt |     7 +
 ...labelers.character_level_cnn_model.rst.txt |     7 +
 ...belers.classification_report_utils.rst.txt |     7 +
 ...rofiler.labelers.column_name_model.rst.txt |     7 +
 ...ataprofiler.labelers.data_labelers.rst.txt |     7 +
 ...aprofiler.labelers.data_processing.rst.txt |     7 +
 ...ataprofiler.labelers.labeler_utils.rst.txt |     7 +
 .../dataprofiler.labelers.regex_model.rst.txt |     7 +
 .../_sources/dataprofiler.labelers.rst.txt    |    30 +
 .../dataprofiler.labelers.utils.rst.txt       |     7 +
 ...er.profilers.base_column_profilers.rst.txt |     7 +
 ...ofilers.categorical_column_profile.rst.txt |     7 +
 ...profilers.column_profile_compilers.rst.txt |     7 +
 ...filers.data_labeler_column_profile.rst.txt |     7 +
 ....profilers.datetime_column_profile.rst.txt |     7 +
 ...ler.profilers.float_column_profile.rst.txt |     7 +
 ...aprofiler.profilers.graph_profiler.rst.txt |     7 +
 ...r.profilers.helpers.report_helpers.rst.txt |     7 +
 .../dataprofiler.profilers.helpers.rst.txt    |    20 +
 ...profiler.profilers.histogram_utils.rst.txt |     7 +
 ...filer.profilers.int_column_profile.rst.txt |     7 +
 ...ataprofiler.profilers.json_decoder.rst.txt |     7 +
 ...ataprofiler.profilers.json_encoder.rst.txt |     7 +
 ...r.profilers.numerical_column_stats.rst.txt |     7 +
 ...ler.profilers.order_column_profile.rst.txt |     7 +
 ...profiler.profilers.profile_builder.rst.txt |     7 +
 ...rofiler.profilers.profiler_options.rst.txt |     7 +
 ...aprofiler.profilers.profiler_utils.rst.txt |     7 +
 .../_sources/dataprofiler.profilers.rst.txt   |    39 +
 ...iler.profilers.text_column_profile.rst.txt |     7 +
 ...ilers.unstructured_labeler_profile.rst.txt |     7 +
 ...rofilers.unstructured_text_profile.rst.txt |     7 +
 .../dataprofiler.profilers.utils.rst.txt      |     7 +
 .../dataprofiler.reports.graphs.rst.txt       |     7 +
 .../_sources/dataprofiler.reports.rst.txt     |    21 +
 .../dataprofiler.reports.utils.rst.txt        |     7 +
 .../_sources/dataprofiler.rng_utils.rst.txt   |     7 +
 .../0.10.3/html/_sources/dataprofiler.rst.txt |    28 +
 .../_sources/dataprofiler.settings.rst.txt    |     7 +
 ...rofiler.validators.base_validators.rst.txt |     7 +
 .../_sources/dataprofiler.validators.rst.txt  |    20 +
 .../_sources/dataprofiler.version.rst.txt     |     7 +
 docs/0.10.3/html/_sources/examples.rst.txt    |    24 +
 .../html/_sources/graph_data_demo.nblink.txt  |     3 +
 docs/0.10.3/html/_sources/graphs.rst.txt      |   196 +
 docs/0.10.3/html/_sources/index.rst.txt       |   580 +
 docs/0.10.3/html/_sources/install.rst.txt     |   138 +
 docs/0.10.3/html/_sources/labeler.nblink.txt  |     6 +
 .../_sources/merge_profile_list.nblink.txt    |     3 +
 docs/0.10.3/html/_sources/modules.rst.txt     |     7 +
 docs/0.10.3/html/_sources/overview.nblink.txt |     3 +
 .../popmon_dp_loader_example.nblink.txt       |     3 +
 docs/0.10.3/html/_sources/profiler.rst.txt    |   962 ++
 .../html/_sources/profiler_example.nblink.txt |     3 +
 .../regex_labeler_from_scratch.nblink.txt     |     3 +
 .../unstructured_profiler_example.nblink.txt  |     3 +
 .../_static/DataProfilerLogoLightTheme.png    |   Bin 0 -> 118089 bytes
 docs/0.10.3/html/_static/basic.css            |   904 ++
 docs/0.10.3/html/_static/custom.css           |    50 +
 docs/0.10.3/html/_static/doctools.js          |   323 +
 .../html/_static/documentation_options.js     |    12 +
 docs/0.10.3/html/_static/file.png             |   Bin 0 -> 286 bytes
 .../images/DataProfilerDarkLogoLong.png       |   Bin 0 -> 20019 bytes
 .../images/DataProfilerLogoLightTheme.png     |   Bin 0 -> 118089 bytes
 .../images/DataProfilerLogoLightThemeLong.png |   Bin 0 -> 177437 bytes
 .../images/branching_workflow_diagram.png     |   Bin 0 -> 131890 bytes
 .../_static/images/histogram_example_0.png    |   Bin 0 -> 14056 bytes
 .../_static/images/histogram_example_1.png    |   Bin 0 -> 11387 bytes
 .../_static/images/histogram_example_2.png    |   Bin 0 -> 12592 bytes
 .../missing_value_barchart_example_0.png      |   Bin 0 -> 24758 bytes
 .../images/missing_value_matrix_example_0.png |   Bin 0 -> 37730 bytes
 docs/0.10.3/html/_static/jquery-3.5.1.js      | 10872 ++++++++++++++++
 docs/0.10.3/html/_static/jquery.js            |     2 +
 docs/0.10.3/html/_static/language_data.js     |   297 +
 docs/0.10.3/html/_static/minus.png            |   Bin 0 -> 90 bytes
 docs/0.10.3/html/_static/plus.png             |   Bin 0 -> 90 bytes
 docs/0.10.3/html/_static/pygments.css         |    75 +
 docs/0.10.3/html/_static/pygments_dark.css    |    85 +
 docs/0.10.3/html/_static/scripts/main.js      |     2 +
 docs/0.10.3/html/_static/scripts/main.js.map  |     1 +
 docs/0.10.3/html/_static/searchtools.js       |   522 +
 .../html/_static/styles/furo-extensions.css   |     2 +
 .../_static/styles/furo-extensions.css.map    |     1 +
 docs/0.10.3/html/_static/styles/furo.css      |     2 +
 docs/0.10.3/html/_static/styles/furo.css.map  |     1 +
 docs/0.10.3/html/_static/underscore-1.13.1.js |  2042 +++
 docs/0.10.3/html/_static/underscore.js        |     6 +
 .../html/add_new_model_to_data_labeler.html   |   935 ++
 .../html/add_new_model_to_data_labeler.ipynb  |   488 +
 .../html/column_name_labeler_example.html     |   820 ++
 .../html/column_name_labeler_example.ipynb    |   364 +
 docs/0.10.3/html/data_labeling.html           |   615 +
 docs/0.10.3/html/data_reader.html             |  1101 ++
 docs/0.10.3/html/data_reader.ipynb            |   689 +
 docs/0.10.3/html/data_readers.html            |   452 +
 .../dataprofiler.data_readers.avro_data.html  |   409 +
 .../dataprofiler.data_readers.base_data.html  |   371 +
 .../dataprofiler.data_readers.csv_data.html   |   438 +
 .../html/dataprofiler.data_readers.data.html  |   310 +
 .../dataprofiler.data_readers.data_utils.html |   656 +
 ...filer.data_readers.filepath_or_buffer.html |   321 +
 .../dataprofiler.data_readers.graph_data.html |   415 +
 .../html/dataprofiler.data_readers.html       |   324 +
 .../dataprofiler.data_readers.json_data.html  |   420 +
 ...ataprofiler.data_readers.parquet_data.html |   405 +
 ...ofiler.data_readers.structured_mixins.html |   304 +
 .../dataprofiler.data_readers.text_data.html  |   410 +
 docs/0.10.3/html/dataprofiler.dp_logging.html |   298 +
 docs/0.10.3/html/dataprofiler.html            |   383 +
 ...taprofiler.labelers.base_data_labeler.html |   909 ++
 .../dataprofiler.labelers.base_model.html     |   675 +
 ...aprofiler.labelers.char_load_tf_model.html |   491 +
 ...er.labelers.character_level_cnn_model.html |   512 +
 ....labelers.classification_report_utils.html |   451 +
 ...taprofiler.labelers.column_name_model.html |   451 +
 .../dataprofiler.labelers.data_labelers.html  |   980 ++
 ...dataprofiler.labelers.data_processing.html |  1412 ++
 docs/0.10.3/html/dataprofiler.labelers.html   |   360 +
 .../dataprofiler.labelers.labeler_utils.html  |  2641 ++++
 .../dataprofiler.labelers.regex_model.html    |   486 +
 .../html/dataprofiler.labelers.utils.html     |   308 +
 ...filer.profilers.base_column_profilers.html |   457 +
 ....profilers.categorical_column_profile.html |   449 +
 ...er.profilers.column_profile_compilers.html |   677 +
 ...profilers.data_labeler_column_profile.html |   446 +
 ...ler.profilers.datetime_column_profile.html |   405 +
 ...ofiler.profilers.float_column_profile.html |   546 +
 ...dataprofiler.profilers.graph_profiler.html |   382 +
 .../html/dataprofiler.profilers.helpers.html  |   333 +
 ...iler.profilers.helpers.report_helpers.html |   324 +
 ...ataprofiler.profilers.histogram_utils.html |   287 +
 docs/0.10.3/html/dataprofiler.profilers.html  |   341 +
 ...profiler.profilers.int_column_profile.html |   539 +
 .../dataprofiler.profilers.json_decoder.html  |   546 +
 .../dataprofiler.profilers.json_encoder.html  |   363 +
 ...iler.profilers.numerical_column_stats.html |   535 +
 ...ofiler.profilers.order_column_profile.html |   401 +
 ...ataprofiler.profilers.profile_builder.html |   891 ++
 ...taprofiler.profilers.profiler_options.html |  2395 ++++
 ...dataprofiler.profilers.profiler_utils.html |   824 ++
 ...rofiler.profilers.text_column_profile.html |   587 +
 ...rofilers.unstructured_labeler_profile.html |   347 +
 ...r.profilers.unstructured_text_profile.html |   355 +
 .../html/dataprofiler.profilers.utils.html    |   264 +
 .../html/dataprofiler.reports.graphs.html     |   265 +
 docs/0.10.3/html/dataprofiler.reports.html    |   297 +
 .../html/dataprofiler.reports.utils.html      |   290 +
 docs/0.10.3/html/dataprofiler.rng_utils.html  |   270 +
 docs/0.10.3/html/dataprofiler.settings.html   |   265 +
 ...taprofiler.validators.base_validators.html |   353 +
 docs/0.10.3/html/dataprofiler.validators.html |   314 +
 docs/0.10.3/html/dataprofiler.version.html    |   265 +
 docs/0.10.3/html/examples.html                |   426 +
 docs/0.10.3/html/genindex.html                |  3430 +++++
 docs/0.10.3/html/graph_data_demo.html         |   708 +
 docs/0.10.3/html/graph_data_demo.ipynb        |   271 +
 docs/0.10.3/html/graphs.html                  |   487 +
 docs/0.10.3/html/index.html                   |   743 ++
 docs/0.10.3/html/install.html                 |   387 +
 docs/0.10.3/html/labeler.html                 |   956 ++
 docs/0.10.3/html/labeler.ipynb                |   650 +
 docs/0.10.3/html/merge_profile_list.html      |   637 +
 docs/0.10.3/html/merge_profile_list.ipynb     |   159 +
 docs/0.10.3/html/modules.html                 |   298 +
 docs/0.10.3/html/objects.inv                  |   Bin 0 -> 28981 bytes
 docs/0.10.3/html/overview.html                |   848 ++
 docs/0.10.3/html/overview.ipynb               |   470 +
 .../0.10.3/html/popmon_dp_loader_example.html |   803 ++
 .../html/popmon_dp_loader_example.ipynb       |   416 +
 docs/0.10.3/html/profiler.html                |  1409 ++
 docs/0.10.3/html/profiler_example.html        |   948 ++
 docs/0.10.3/html/profiler_example.ipynb       |   577 +
 docs/0.10.3/html/py-modindex.html             |   604 +
 .../html/regex_labeler_from_scratch.html      |   857 ++
 .../html/regex_labeler_from_scratch.ipynb     |   444 +
 docs/0.10.3/html/search.html                  |   266 +
 docs/0.10.3/html/searchindex.js               |     1 +
 .../html/unstructured_profiler_example.html   |   835 ++
 .../html/unstructured_profiler_example.ipynb  |   436 +
 .../dataprofiler.profilers.profiler_utils.rst |     7 +
 docs/source/dataprofiler.profilers.rst        |     2 +-
 docs/source/dataprofiler.rng_utils.rst        |     7 +
 docs/source/dataprofiler.rst                  |     1 +
 docs/source/index.rst                         |     3 +
 docs/source/profiler.rst                      |     9 +-
 docs/update_documentation.py                  |    10 +
 index.html                                    |     2 +-
 profiler_options.html                         |     1 +
 306 files changed, 77208 insertions(+), 3 deletions(-)
 create mode 100644 docs/0.10.3/doctrees/API.doctree
 create mode 100644 docs/0.10.3/doctrees/add_new_model_to_data_labeler.doctree
 create mode 100644 docs/0.10.3/doctrees/column_name_labeler_example.doctree
 create mode 100644 docs/0.10.3/doctrees/data_labeling.doctree
 create mode 100644 docs/0.10.3/doctrees/data_reader.doctree
 create mode 100644 docs/0.10.3/doctrees/data_readers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.avro_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.base_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.csv_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.data_utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.filepath_or_buffer.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.graph_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.json_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.parquet_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.structured_mixins.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.data_readers.text_data.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.dp_logging.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.base_data_labeler.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.base_model.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.char_load_tf_model.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.character_level_cnn_model.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.classification_report_utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.column_name_model.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.data_labelers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.data_processing.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.labeler_utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.regex_model.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.labelers.utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.base_column_profilers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.categorical_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.column_profile_compilers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.data_labeler_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.datetime_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.float_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.graph_profiler.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.helpers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.helpers.report_helpers.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.histogram_utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.int_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.json_decoder.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.json_encoder.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.numerical_column_stats.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.order_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.profile_builder.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.profiler_options.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.profiler_utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.text_column_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.unstructured_labeler_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.unstructured_text_profile.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.profilers.utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.reports.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.reports.graphs.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.reports.utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.rng_utils.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.settings.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.validators.base_validators.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.validators.doctree
 create mode 100644 docs/0.10.3/doctrees/dataprofiler.version.doctree
 create mode 100644 docs/0.10.3/doctrees/environment.pickle
 create mode 100644 docs/0.10.3/doctrees/examples.doctree
 create mode 100644 docs/0.10.3/doctrees/graph_data_demo.doctree
 create mode 100644 docs/0.10.3/doctrees/graphs.doctree
 create mode 100644 docs/0.10.3/doctrees/index.doctree
 create mode 100644 docs/0.10.3/doctrees/install.doctree
 create mode 100644 docs/0.10.3/doctrees/labeler.doctree
 create mode 100644 docs/0.10.3/doctrees/merge_profile_list.doctree
 create mode 100644 docs/0.10.3/doctrees/modules.doctree
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/column_name_labeler_example.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/data_reader.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/graph_data_demo.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/labeler.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/merge_profile_list.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/overview.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/popmon_dp_loader_example.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/profiler_example.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb
 create mode 100644 docs/0.10.3/doctrees/nbsphinx/unstructured_profiler_example.ipynb
 create mode 100644 docs/0.10.3/doctrees/overview.doctree
 create mode 100644 docs/0.10.3/doctrees/popmon_dp_loader_example.doctree
 create mode 100644 docs/0.10.3/doctrees/profiler.doctree
 create mode 100644 docs/0.10.3/doctrees/profiler_example.doctree
 create mode 100644 docs/0.10.3/doctrees/regex_labeler_from_scratch.doctree
 create mode 100644 docs/0.10.3/doctrees/unstructured_profiler_example.doctree
 create mode 100644 docs/0.10.3/html/.buildinfo
 create mode 100644 docs/0.10.3/html/API.html
 create mode 100644 docs/0.10.3/html/_images/DL-Flowchart.png
 create mode 100644 docs/0.10.3/html/_images/histogram_example_0.png
 create mode 100644 docs/0.10.3/html/_images/histogram_example_1.png
 create mode 100644 docs/0.10.3/html/_images/histogram_example_2.png
 create mode 100644 docs/0.10.3/html/_images/missing_value_barchart_example_0.png
 create mode 100644 docs/0.10.3/html/_images/missing_value_matrix_example_0.png
 create mode 100644 docs/0.10.3/html/_sources/API.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/add_new_model_to_data_labeler.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/column_name_labeler_example.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/data_labeling.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/data_reader.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/data_readers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.avro_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.base_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.csv_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.data_utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.graph_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.json_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.data_readers.text_data.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.dp_logging.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.base_model.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.column_name_model.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.data_labelers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.data_processing.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.regex_model.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.labelers.utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.json_decoder.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.json_encoder.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.profile_builder.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_options.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.profilers.utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.reports.graphs.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.reports.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.reports.utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.rng_utils.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.settings.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.validators.base_validators.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.validators.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/dataprofiler.version.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/examples.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/graph_data_demo.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/graphs.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/index.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/install.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/labeler.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/merge_profile_list.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/modules.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/overview.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/popmon_dp_loader_example.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/profiler.rst.txt
 create mode 100644 docs/0.10.3/html/_sources/profiler_example.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/regex_labeler_from_scratch.nblink.txt
 create mode 100644 docs/0.10.3/html/_sources/unstructured_profiler_example.nblink.txt
 create mode 100644 docs/0.10.3/html/_static/DataProfilerLogoLightTheme.png
 create mode 100644 docs/0.10.3/html/_static/basic.css
 create mode 100644 docs/0.10.3/html/_static/custom.css
 create mode 100644 docs/0.10.3/html/_static/doctools.js
 create mode 100644 docs/0.10.3/html/_static/documentation_options.js
 create mode 100644 docs/0.10.3/html/_static/file.png
 create mode 100644 docs/0.10.3/html/_static/images/DataProfilerDarkLogoLong.png
 create mode 100644 docs/0.10.3/html/_static/images/DataProfilerLogoLightTheme.png
 create mode 100644 docs/0.10.3/html/_static/images/DataProfilerLogoLightThemeLong.png
 create mode 100644 docs/0.10.3/html/_static/images/branching_workflow_diagram.png
 create mode 100644 docs/0.10.3/html/_static/images/histogram_example_0.png
 create mode 100644 docs/0.10.3/html/_static/images/histogram_example_1.png
 create mode 100644 docs/0.10.3/html/_static/images/histogram_example_2.png
 create mode 100644 docs/0.10.3/html/_static/images/missing_value_barchart_example_0.png
 create mode 100644 docs/0.10.3/html/_static/images/missing_value_matrix_example_0.png
 create mode 100644 docs/0.10.3/html/_static/jquery-3.5.1.js
 create mode 100644 docs/0.10.3/html/_static/jquery.js
 create mode 100644 docs/0.10.3/html/_static/language_data.js
 create mode 100644 docs/0.10.3/html/_static/minus.png
 create mode 100644 docs/0.10.3/html/_static/plus.png
 create mode 100644 docs/0.10.3/html/_static/pygments.css
 create mode 100644 docs/0.10.3/html/_static/pygments_dark.css
 create mode 100644 docs/0.10.3/html/_static/scripts/main.js
 create mode 100644 docs/0.10.3/html/_static/scripts/main.js.map
 create mode 100644 docs/0.10.3/html/_static/searchtools.js
 create mode 100644 docs/0.10.3/html/_static/styles/furo-extensions.css
 create mode 100644 docs/0.10.3/html/_static/styles/furo-extensions.css.map
 create mode 100644 docs/0.10.3/html/_static/styles/furo.css
 create mode 100644 docs/0.10.3/html/_static/styles/furo.css.map
 create mode 100644 docs/0.10.3/html/_static/underscore-1.13.1.js
 create mode 100644 docs/0.10.3/html/_static/underscore.js
 create mode 100644 docs/0.10.3/html/add_new_model_to_data_labeler.html
 create mode 100644 docs/0.10.3/html/add_new_model_to_data_labeler.ipynb
 create mode 100644 docs/0.10.3/html/column_name_labeler_example.html
 create mode 100644 docs/0.10.3/html/column_name_labeler_example.ipynb
 create mode 100644 docs/0.10.3/html/data_labeling.html
 create mode 100644 docs/0.10.3/html/data_reader.html
 create mode 100644 docs/0.10.3/html/data_reader.ipynb
 create mode 100644 docs/0.10.3/html/data_readers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.avro_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.base_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.csv_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.data_utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.filepath_or_buffer.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.graph_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.json_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.parquet_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.structured_mixins.html
 create mode 100644 docs/0.10.3/html/dataprofiler.data_readers.text_data.html
 create mode 100644 docs/0.10.3/html/dataprofiler.dp_logging.html
 create mode 100644 docs/0.10.3/html/dataprofiler.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.base_data_labeler.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.base_model.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.char_load_tf_model.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.character_level_cnn_model.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.classification_report_utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.column_name_model.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.data_labelers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.data_processing.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.labeler_utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.regex_model.html
 create mode 100644 docs/0.10.3/html/dataprofiler.labelers.utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.base_column_profilers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.categorical_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.column_profile_compilers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.data_labeler_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.datetime_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.float_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.graph_profiler.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.helpers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.helpers.report_helpers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.histogram_utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.int_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.json_decoder.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.json_encoder.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.numerical_column_stats.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.order_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.profile_builder.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.profiler_options.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.profiler_utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.text_column_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.unstructured_labeler_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.unstructured_text_profile.html
 create mode 100644 docs/0.10.3/html/dataprofiler.profilers.utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.reports.graphs.html
 create mode 100644 docs/0.10.3/html/dataprofiler.reports.html
 create mode 100644 docs/0.10.3/html/dataprofiler.reports.utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.rng_utils.html
 create mode 100644 docs/0.10.3/html/dataprofiler.settings.html
 create mode 100644 docs/0.10.3/html/dataprofiler.validators.base_validators.html
 create mode 100644 docs/0.10.3/html/dataprofiler.validators.html
 create mode 100644 docs/0.10.3/html/dataprofiler.version.html
 create mode 100644 docs/0.10.3/html/examples.html
 create mode 100644 docs/0.10.3/html/genindex.html
 create mode 100644 docs/0.10.3/html/graph_data_demo.html
 create mode 100644 docs/0.10.3/html/graph_data_demo.ipynb
 create mode 100644 docs/0.10.3/html/graphs.html
 create mode 100644 docs/0.10.3/html/index.html
 create mode 100644 docs/0.10.3/html/install.html
 create mode 100644 docs/0.10.3/html/labeler.html
 create mode 100644 docs/0.10.3/html/labeler.ipynb
 create mode 100644 docs/0.10.3/html/merge_profile_list.html
 create mode 100644 docs/0.10.3/html/merge_profile_list.ipynb
 create mode 100644 docs/0.10.3/html/modules.html
 create mode 100644 docs/0.10.3/html/objects.inv
 create mode 100644 docs/0.10.3/html/overview.html
 create mode 100644 docs/0.10.3/html/overview.ipynb
 create mode 100644 docs/0.10.3/html/popmon_dp_loader_example.html
 create mode 100644 docs/0.10.3/html/popmon_dp_loader_example.ipynb
 create mode 100644 docs/0.10.3/html/profiler.html
 create mode 100644 docs/0.10.3/html/profiler_example.html
 create mode 100644 docs/0.10.3/html/profiler_example.ipynb
 create mode 100644 docs/0.10.3/html/py-modindex.html
 create mode 100644 docs/0.10.3/html/regex_labeler_from_scratch.html
 create mode 100644 docs/0.10.3/html/regex_labeler_from_scratch.ipynb
 create mode 100644 docs/0.10.3/html/search.html
 create mode 100644 docs/0.10.3/html/searchindex.js
 create mode 100644 docs/0.10.3/html/unstructured_profiler_example.html
 create mode 100644 docs/0.10.3/html/unstructured_profiler_example.ipynb
 create mode 100644 docs/source/dataprofiler.profilers.profiler_utils.rst
 create mode 100644 docs/source/dataprofiler.rng_utils.rst
 create mode 100644 profiler_options.html

diff --git a/docs/0.10.3/doctrees/API.doctree b/docs/0.10.3/doctrees/API.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d39852d7698a422e98ee5f0233956586559611eb
GIT binary patch
literal 3801
zcmcIn-EJJW6_zaRucVc%#7>i1&D3rTJFRvdAQy$xpeP&^P1SCU{M{7llsm&+Qkoe~
zNshDv62!eoVFSDid)Gceo**yLcWB<B_x;HE*`K6vauERnhKGkdJl{FzJ7=G?{_*d@
zhW|7BDrY>K4@n$nBBsikZY-iArJ1&0*!zF8pW1t-C&{G}g^Z{*8_<XtPhv?kdy370
z)7Lyv!|H;zCUQm>$63pChr=NJ&Et0;TGlzWrcbn%d{SuGbN6rYSm7?yi4vj|g!pb{
zBrU(Xagi?;6B3<EIxThZ!DDN-NX~6xI-1O!qGf%vo$!p>lTFjk30|r#+cLedaSf|>
z?a`yrM~X@{I#(GblTq|Wm`ia+Bdtd7eGp2T3pIL&X!2N!DNm>z;TAP2Pmkc#P%3SU
z3G11T!YMAY207MZZRhblY_>Gl30>MUTR7|i!S42lbnYN4g`ZmwJdPi;fc>2Plx?xw
zWA^H}m=JaV$k^ejWiR6YCjNhf|5r|J!G6N-L;Y^4&hD^RPqzKLdcc6pB+1#b`9FQg
zXn-dKTm>pmxDI%xMet^j5}pN-NOO?^IrT88Jy*X7{y-)a7~so661-1I>{ld<`yZ2p
z$3zRMhNW8%%nxc~fzq$x_S@ebrMK8^k50Qr%cIowE*Dw61X3A3wt?Idk(P8he%0Rp
z3kM6zSegz%l-%d?y|H;22oWThPo<$-AjLe0_V0FVZmw+CddlzJSlLUeNcgRnR<<sh
zKwy)aU7kfr5u;X;@)hjQ>@RG>Vrsf6na4EO%#}(fBDqgr(|aT`?PG7v_AC(-`^>Z%
zk7LyQGqYFS*9f{<kxr<ju|3%^eV^w_WXTnD`=E}6|9)9pVP`I5A6K#HAr^mJPj9nd
z!G3&+?9HjPWIf|g>KK;yph9R<A@|sk<CZrpt!t&E3gSwp{;VqJXSio;xpMGUI)zhN
z<owz+FVlIB@<z03X*jtGJ>Pt4*=KB5nU}s*1q=m+BPcAtt$tBmy$v6+I}VmjGl&Z5
zm@BM!YHW6EiRZSl=_;x<&t@R)>kSD{r4Jogv5k5x5b&DD+5NHU&1goYt5M`y4@pCn
zCTWhvPH85@-RD^Lt7Rb*to9Iw&@r#ug}Igs>6JByQz3LFG+o*RRC|sGkrUy3DrD-w
z8z_`O9-_irXHmHF$E5^h;w9lF*DS309~P?vRYQRDj)<iW6M8`tdveY68A+OD%Uq{(
z4y-iMg{qZWrWMmkF@w3mC6O7hf(FVhg`}q?iKuhRJ~acL<%JFrY!O4tnqHx&$G<#Q
z9N)KAH$y6=kRb!*feC@LdupVu*%yUgy`|-EvF2!PXYC61r5Ti$E*?-Hy|ucrcG4U;
z2NY0Zz$bx2*6bxDn-ye60e6h`H59FRLDERbI7G423}qZSLK>TPB(f=d1ROj@-vdX?
zEo++rDYOU|B6H34*}b?(^RUS}py~x^8&qZ_aTo4;382lCi~T~BD_X=NoTo0I4p1mU
z(Qx^sPZ8AD1y{Vx&;2mwicAvcNcGB2T@CDx*@ZI-`A<A&A!RDHu;w{)(|y4R+Pl+1
zc-?I=;=Kb}YL>{)>#n4bHrWhWnDCTq`}>Xm{I_KWIn5U(@7&pSk_o}<U2T|vX`QQw
zqtWH%<uJd}Ok_hLXQP;2jG(DT*4%I>{8Mlu)HFq)Gy>Cw{P?v8ZvxqYoJMPAoMd6<
zR&7QLfl-T7J@saoP7|2uX)-|x#g53k<_HOyhD~iYj1{WfWymvgpsq4a<{{%Vmf#=B
zyPXJ^_q!@3sItEnC~5_uUhwO3873kkWeYJ!5yMOoA@F6f0c8&%PM;S!Ot`VocY=xp
z&^939*%UcYv%;a{39#a--T_53iBYImu*E1Q$!F$9ln8PjQj8`^h*?!qKPNslTQs|{
zAbry<`2huq^x|2}k?=Y!M^Qg4UWXy1i^i;qR6sX$v!^*+k(Og7#JFwREZVLtFrhjY
zKecR^DARG9mFzQiq)g8V^i>YfTsL^C*r6NKjxddV!tNGkZ#f#?@?OM2R_-mhzLdD4
ztM$q^FH1^2G%iFhort6fuvdL?P1tDnR&MOoR{f#FmHR=SQaiT3v3^&zgXRuOh(zHE
z-kP0ABneQ459kS<N0s~whrm}So9c7>J~A7#Cu#+=yaFXTtC)5N>Pn#wYU!dyRr50Y
zRr$*UKOOGAQ(!iYP%r^U;c&b^D5DxU$R7r`G5p_d2F}-?r~dVmf8xN`PyRKui}?|Q
z;MxA>#>V#<A%nABoLHY&md6wJ2{EmzUu~LgmmR3HcgMed&ozzm_Y`=n`l+&wwtv=l
zkNCz2Pt0M%s5NE|$+I1(*GN_4XoFm}eqiqZ4u+-c+%<3>GB@_4bq5VQ#OsJ0KgT~e
zr@RH^UVo0>H$XUh4JW<@g3THNplWs+mwip|R6{37Xy$$&_G8!3D(-i2D<;GL0nJ9V
AegFUf

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/add_new_model_to_data_labeler.doctree b/docs/0.10.3/doctrees/add_new_model_to_data_labeler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f2de0cd26e5745f4c1f7f977b51b2f35109ec31b
GIT binary patch
literal 40612
zcmeHQYm6k<RbG3a)81V_;#fS^PNm1m_Bb;&ySDRMJO*bSCuVoYj(6i&Oop23?&_)P
zt*+|SV|FHHMTiL4sE7z@kn#s1_zMW}CqW_z6d`_qkoXBCJn{n}@rOttgaiuTIk)bk
zs=Md0vyKhwmUgGR>ORlwo^$TG=YHY%uYK(|j_{|rKOOo(v~9cHZWMRDbX1(`#+`iN
zMcL@9qlKRv-5#}yxx~Gd#(C25M#T}7==ed{O}uEdj+bYtd=`YMT{bW`bQ5<oafiNY
z!9QMnVdK@nyJcm5kXlikdF?p9X~mKCi6HxA-nO3cvuv1NT3+4^GCyzIop`X^afd<X
zhH>OACwV*Q#L;q=c;52B4Web)M!JllJCS$G8DRXOlf_Qg&0HsR+g|7;cGM1o=;pH<
z&d5KB;rer!jo0%qddx=7&_C{<rPp|S?1r~ZQ!mc#Hr~;fMhqHEZ1-}-2|$B@=|5D=
zISRD?(c(l2(beJ@M(B-J^R`<w+$>9icAfzf1o@*uHwBc7lbz5_Q#{1?<B>ZM-%fS&
zq5jc!J2x>kE^~|??=^?w1d8WLFe-lft%d$5FHUCeCXdN~z(41o&f5U>iOfwlJxyl-
zru&u?0+WGn0l0n>z&y7Fs$3$fT#^*E6h}*f3P-O0IEdo?vfMcJs&XxqdjjPoNd4v9
zzu;di8j9Guqbv7_se7t>*}Pv?r#cP)v0`KS)2WxF%Qw@=bKA?Ei_S2K`(7tYmtVT>
zB;GJim!AifznsLq093vV!b+C~LG6nlM*e%Q+>6m1^&j<*0vSh&Gk&n?hxnI;ZnSA~
z#tG&O39<T+LA_MII2M6VL7csq#KfD${Y2CNsh@bMABWx1FP-|n`1~x*@{_W2|1tj)
z7|cCP5hua+710C6+@t%s?Ll}c9l9i&P7TqSmuz_>>f$rCE>4IpQh+gtqp=y1XgHn)
zS!jxd;)Bn1yFs*RLBLonV5}?#8F-er9i$n(Av|0a!p0f~Lywu6LH5X<)>gvBA7BnQ
z2}k~8tNwdPMC?jC0gCrTafa#~ru>=^;(J2UZ~GkyHnWZU(Z+qUjn_VP^vIFRag+vK
zFJU-z+|;vf`Ceq*!rwR#yH*(7^axDe_ArbS&*}y}7Py(!@v$^?GA~&Qy)7>URP)58
zKiRD~xhVjgT5i;}ye&7(-3;ycUXWNrF9Bf<TnKGiG<1t3>r*dFZR^G~qy!NU)Z`Zo
zv7NZdj^&1l=XQ52tSuQ<74&U^hQMqcFHPfQk$%T%W<J2++_8yVUR||XfXh}KVl9j#
zOlnokZB@)|K~j(JW)@Zi^f+jPL%IYgo;;?N<{jUn8QIozVMqXtJe0tSi9+ohi>`&m
zE+{(?<XA2Ym?9buBHv4bjOR<Mq}9tKrgk?(EibitNj%`UG+@yHLE8<}7)`swvMQ~l
z1d}vNa<1PfsU8|akYGq|0v#X&C*|Nc+j@~ejA44)?qC>ti!}7E*Tek8oZKq^v^^_N
z(aJ5X^*kEFjU|}~kQqXjM41)$^jj(FxHGJ&S<uNtmoZeQs;k#;T(eqNV=(7+KTfix
z8(uQ7u6ctv*^zj_U;`Q|NgJ=bNc}_rU*<t^!2|j#_?(6&M<&^u(E-v-0Ae`}*UH>B
zjffElk`xqKQV!bdggKzc6Y9lb7~dk{k!BvW9<e4pGGi{L#Tj$WnCosbmtIYO9?Rnw
z_rID#6XR9%VY#ZZ0&xbS)WfRfw8OY_(@-OdZ!cLN6GEEB-9)ie>JWyo79v5(<HnM8
zHFmKqU^z2okCNQ<Pzpm7zJALca$%*AsHU`hCGCZ!B6p8kH%N4GwJwR?(pXaZ3$3xP
zwHa(dC{h84vr<O=KcA$gl@mbvukNOANqy;8N-FtbgG!XXR6O%Skfhn76?)lszwk9)
zbg&{Z<b@7Gt1_+fSVy4Y;DugBZ3*+kHKOPATNvVR9-RIkGiG*JZSryEp}A7u@)Co8
zgr?tuEpjZ5!kw`<{#T?HS{z%m*5#^M{?M}|%>8K{bFjmq`V2FebTH?ny;Ynd<0W@D
zVLS)}Mq~Ay|Hp*cdP9}!$DraSsOo2fkZq1XLf?Oww~JFzTR2um#p%n?rk;bExr)EL
zO==Sg3DHKJHp*}5j{4e9<48UpVwrTIs;1Vk+dvt6=w`kR?bS=N)`dmuyltOfkcEkT
zF?BW*sY-V!sp<#TUlld~SchoQ2%=%0InavT>F7BX40kd=j-DEsDEiKxD3W;hzXgv=
z2CF3*y-8-y-w8}rZShudGJ;l)(ZG_2=g3X7k!NC@YJOd^gJ66ZWrw!0o<tj-q;AOv
zefgj`NiyG%!RohyZ2$gyjvVpN_0Q0sgP4o`hN{79-AC?hHuYwnMKekWzIHGAm}DZr
z2*5HUj0_kOUAfk<I&Q(|XaV8g&M?mO8?h*rix=Ev8N_Bt#%O6Ql$IT7-;ku`;zcG@
zj|8zr=APBwVF64~wO+vk)MhhEw!tst8e7^1=@9FFX%^7pN!mN9t2_kirZfuJuqlTZ
z!Ify0{)SXa^BFW?9|IbicHb{(_i;su`*C$h<?J%3UefU0q1_kJ%r_+ONoM?J^}zww
zqW*K3S6$}$e>rU(^8eb9Z~bQpCi`23{J$aLgaxSoW89(t?P)`P?KTR`lL^lJ!8}3U
zoLF!N%Rhe8V7gwxnqd=5w3@cPOpoMxvP{IE@}uQWy0r|BbtK0+12@@rHoe%!o905J
z+hf1Hh1Sr5P5(6-^Oj&M`bGV-MP1=6NWBJ^abTARF{)p%pEMg2&DtqD9$G!PmsTz=
z*yIPyoFM9Y+pTUA4_9s^xrafZABQ`kafqsGmtgC+S{JP)F&NR&g7pM+wy0GWT3A>w
zE0e_0b@x^E(t1OV*!CfAS_{(PpCKYLfcbVHLP;So`nmp3O=8u5oyMxgM4hDnnf>sr
zR7?7oQF=@>DOtFtocRCk|IZ|CM9IHHDI~R4u6#Cc>;AP0qPIj&5;u`n;!1Uz1W>oC
z9bF-XVi(osi5I084w?X&sne}yska`aib8My%Y>D4{eu1+NI`m2)nEmweTR!otr_fb
zY6YptSy|D04CI{@u3Rz;$!EK<aasD#uafKhaui)7FYU&LP+j11C1+|H4?Obg2ECv|
z@)90xnDXRH&^|}$6HXbRE&q|?y?b`ASL^*02AqFeK}{^?*jzbTI!+85sQ8iT^OER(
zWb(xIh?sMKuh!qL`y~C}q0(ZIz{4ZOr9%Kwk=UVHnE*1)ef2#z;xnoLV27wLX{$n0
z|Gcr`U<C{^$JyApM5`<I4w%Jge}3S>i3O#YT@Ie%91?D8B1K(n5#*N!pZA<F%?2AA
z^fU1~4lS&4o{0z8)(N(l<Wzw?p`CB1`X(KEouId4MfspDw03q(h3*c<gZ&oOjM}@v
zL+IJ)P_$>2-CC>=2(7x+|6O2I>N~}0bLx_gPDyCgDCaNkgmV5Im6&pV;;@j_qbUyG
z7HEM+W(v3}WX@C&DM2%*kgG?-T=n<0#`eWk3O4sHTDrZ0e(gEF`)iaXM|ht>Z@Nt$
z<M-a0G3M<m<j!tvXxiM^kOOPzhqZAXySIvnL%^>8Z!|}N+xobEh#@wC)#L~tR-9vS
zVr{IC9BQnuEJAa>%UrFc>RZwJ1UlTGw2e`7qO@Iu$ibF%0G-HlwB$4-ud#F6@x9JX
zwK7*_?F5m`n5>C7pnY<G3hk3#*U<jdouGXgm00v$R-*3^Q`309E6o8tG(J-R?hmn_
zn}*oy0JPc(7cpifQq@z|uLz5Ji$!m}OxiJ@gwTg4^&^q_Kz#@`M7~^`^S)%wRf)(S
zXG9)iIvR<GZVG6iaUC3iX%&HYuuq{FTbNN-c0lEK(+{-G@UEd|pMId6U~*7DP$CdK
z-4FEr$B!H-w;D1pLcB{4VF|QJkoDyD0o1f1!ep>VHEggULPnqT|JdceVQMR@&Edcv
zrxQhjS18JYHZ@ue3!llV{35^Wz%>imxf#Y=o<r@4#~k+Jc!PG==>{T}CD~bQEbKO#
zHq6p$_aDO(wwHFRR?f!ZXjVD!7cO4!Ac(0!&Z_G0uR<B-HWBKQV5_u@uBjH1c3NZp
zPCtjJDV*BX0jW{9s?X&>7cMb2<}C#1hMtR{7!icSz_AAIa7g~S#QR*1Kp?SqEgzCG
z!7exJ0t#>-UY8q_rJc`vNesuJXk!Jt&^Z80gn?ioOX}yX)C+sqF{PL~S$Jg?8v%=k
zNx~1xu~GxgW|JGD?<|G|W?qE-6JS|J$Lci|RX^r+n;3gpn9Uef1OPxBqb`>U2vJY;
z(ThD?S+Cz#)%0^4P7+Me&BLtK9Jt%yk!UmXn~T;{PhYsOu%8+o@PmVpWmxvnrW15g
z_u`Wu-m_{q7!d1tRQ^Lx?^&G9fL;fM*PeP3qkD3F&nl%chAJ2Ai@NmuBtug#k7~+y
z$`tc=v4ts!QZ^BR<3msH4GP0Vse@xm7ut3}g=XePJ{;wOs!Y17(9a}oo@%GT<{$=P
z=my@wur0Yk1nJZ0KfQWo^`+0O8l%@BTWb#8Zdr64Jl1^qx#u;rld!NIL_~Ld@C9C9
zFqs?Bl2MFSFLXDB#{&*BFI0dQE$}l3%bn;c<(4Ea%p!8^kaQ@sbWwMw78!dtQD#c9
z1w;BxupUZDs6jDB;JsQJ9;}G!(%5=L5M>bA)+=s+%^vK1lZ5W!5qD;aE^NLlfN&Ib
zl-cTmDO|Y`g3j8ydLJSb+KGEOg+XDnh^rMA5SLPg2$mJ;H~wZ^%2mr4;;i~Y39jm6
zC7h~{4bHB<sBm!gmC35rH<KB%T1L_guW3!8*htzks9V3#u${NAxd^9Du|Hng86}Ks
z*rT{*#y2_37`+;Qv@kPS0P{w*>N*CxP-WIC!`~fq>g^ub<8sq5$S)Z$;Mc7hgx0GA
zrLq{T&?xDL`Jt6MND&JIY1;8xni<yk>-wVA!k*nCghA|P3tCv3ZAfUbi?pm~Jp;jF
z7NYM4JDRTqi`Y<eyr?^Qm{eRq`vX?f8sykiL{PLV5C<$F4w;;zi5Mq}G&fm2rT{VM
zWEX5L0L`AO^TAPs-ElgZKd8axbXHiuWLfiO96Eb5*ll4{8iUn417kF|iRgXSx;QrE
zA0&F&wz@!G`iuL=?Ko`-np(jkDMg~1uBD!m7r#nB3)69`gyk4`4uMfxFsiglh@lUV
zL)-3Se7iuyze5h3#ArCJwB#Wka0f?0z<dZE0*{q^m)eFNB8FvIUYL60a){ot*^_yL
zs&Fmk#^fqg4dAN@E5sEK7K!<%5FXW{&pzdgC_Gut=;>qH5(0YqW4M-W(cj64lO@`a
zQ#UL1_ZCCKHj>(4r7|_!oVxh(+kGs+yT~lvc6FP{aF&k^XdHE8^a_`FmQ2B;(8E@!
zgdp?<tGWu{1<brDa-fQR{#B}x1dVy?<5J7Rt}k>3D0VoOgP0d%;m0D9#JA|Yi<;WO
zR0Jm6h*@Wn-ZxJ4)j?~9#6~x@g(c1Hbi5&*yiuSuxeyQ+O;npkARhEusK2?#({43C
z8#V2I97HWq94kCe5ek@9_o1?OZJ@~1a)tLm*$%W2;~(v#lmAP`%a=ihe0qxA9UPSF
z;`CF1bCe3U9E@aZJK<8|;oMYo$s(tQDrI(GF+<q+&`(qasZ<I>giBR?CTqfKQSeOH
znzD+}L)Q_PL^MO6c?3ejO(D*Nsi#@bzKOFAsZD2#q0HDFxP%f12a!|67PKmKx9LSF
ziW7V6!L!)yK;8<~*qDQl5nvm;B^aP`Sis&^HRmnW_*Byk7Ks`y7fS8xa8khng8!#F
z(h>@q(o)rv_RgTaaro)iO|7BR!@BM}wRXKA+EJZ@cS{cs2n^fd>IG4+a{kEh4d}5H
zH9an7xQifiws1TTM7uK0ZE4p=&3%rm6sns=c>l&{DxM0DmKrcoRCSpUB+t=32udi&
zrl&4I&3L0!1TBS15f@;;NONtazB}|*TI>s4ShTv?4t}Djke8Czsq=b!m66pOzv{xf
z?6$@ryl5f1fnm)3W;xCaw$?NatQ+=2g<3DOt`2n`HrWz~8$zxLp#T^{xNocR%<F(B
zg<{BMxVqt7O>j5?kvkOs!>Zv#_!~{()Fs7uK&q4?UwC6lbYUh-ac^lW?ub*0IPxmv
ziBtp3vJRaT0MW$du>uyRstCb$EDDsR38FV@W?NH<fOMH<!V*Hf^N!bDdj0nEcD9{0
zZHx@?*h3Czt5}niY8nn=f+q$X4Q+BSr&S7WO@bMgTevsJ*}EcrXsYy?)G6&mpv#GS
z6D<u!gD6TaB0@sN38bVzJa4@a;P7u5LSCVoOLU9~VhiVQVdV3ncQP9<X!%8`cGFG}
zkSB}UU=o@L1Y_l+X<~)#_(@AuUZC0<%rxWb+Dn!6dx3^ERUII{NX|N4f?8Osc45fA
z12OE!$)!zeOBL5NqN(Us@TF4p*%keo=0stuWZ!gUP0vWod40UBK(>&HD+cD*E=(xQ
z^1*F~9>*wG8`HFBkkY*M9GIMR5i;b&QlTl}o#6E)DkQs+NN60)%A#!696P(x0O4Uw
zaO0r&I0;b699uc*3iVV4D7~YPwi!wv$jbOQ4R1zs0^X<@Z9Gh<uU}59u1BHEPH1RS
zvFS~cY6%UER3EG%6Nriit_f@W7bL+rFr=%fhBB&MM_V0B&x<g@Nm5?CX_^b^+eyDl
zMrao6<zdL_A>i94>qO`ys^C5-9s6lDpzR4T?8SR6gM>{wgJ&+xn}+5=D0q8Nrl4Se
zE1=XD*W+FWL0r>f_cv{A=$OHvE6r52Ni#S4eTfw`7KW@mLgG-Mt7Q+{IPe8Uh7fdv
zV;f#TY=f$a#6z@FFg9sDuG=}{eMz!HEfu<8rT0?LgPGVvJ`~DLQYQ}r2Xgm#wD@_n
zi3PPD{au#27sqm|EqNPfAbDIWYmTT<m2oD7RKb-CHcoy@`wn{Fit$}d+ZcV>lb99l
z)R^dzPd{K)cLGeXRRt?@eT>hvRVhEAhXvh;wx^7Nn5el%n|2k9@XAUt!vbjKpp7}s
zTbFU>m&kxtOGcvtMM+PNs3qX+P=>0>puo~?(_5PlBej~#%>_JCt%WgV=R(!jr?z{^
zY9b`x+l&*0=7&xPsw(Z*Km_hIZ<{nt=dyYit(3w}EW~M}yy~ZS(c$Of5EC>YbXi8I
zw1_UsY%nV(jksH|%QwB1<{&_)hHF!_z1OJM;C`c!fU&OEjZqsoqttB#^A^EmMF0kt
z)G!MM6o#?VM4p)e+ADisDgPR16OC22bV<n3$LOcJSF0ziU}csym;n$oew7h+ugyZC
zC|RDg<m8uGC=_UJ77C?U3VH^)Yqd+UY7*+_BnfY;YWjI4l!aH|Stt|>Hjvq!eiWGR
zv;iGVH3d=HVw;6R9Tdn4J5yjQ*COGPpM^rvMh%CrP%yBD87qF3&?zl?%$*bL1@RdS
z*7$UFC=RnwD5$!17p=kBicm=&?GpbneK(dWjU7a)_gJI%YOgxbZ<1j!3xz_~qYA(X
zRald&_8~o_Pc6DYGs7$tY7B@?>EF_HCxEysE9??hU^oxQI(uhejOGXD$QW5zvrwoh
z;cZG--c5|oLZN1%P*T)bwE&F?!boov)D~81V?PV<E;38EJqv}R6bZC_rNv`)<%JCA
zS7Mc&g+k3jq12*aL@Uigq4-FS@Wg6XTH|vdvrwpH778^Bg_?yz)uZYRNjeLKsvRIw
zJJn*R*`9?$%|f9NdTG<y>d9^(BaTEdmNGc-MLX?gp-}a}C}{cPx{GubP4LATTh0^1
zm}j9-HK6SYuvsV+vS3v5;>|*#wDi(ZAC#pV=WOVvu~{fo8Pt>-F*WnEP$=S}Styhv
zH{isvG2>S)r`T5}rK>t<F61xoCvTO?h5UJx9?yj=(pXi~xV5I{LYCS24wnnL+RC*p
zTu-P6Q0NTAOYRa9zb&b=G~!;nCDO*0INs2>Lh=cu!V(vbO-Xgk;rz0eaU*0sr81=;
z-X*2-@{95sGu{NRC8k4oECoY8k7JBi#jS-h$=reKskCqXKO;1s>wk;>94NW+pQsv?
zT>0A1&^3^ElDe(d&KId2egDM!kUsMz3eTmP>nuccD+C?kK{^Or?SO0lLfj%LQd+6Y
zlo%c42(AH5U6q8y%YJ}s`_LAOpd4Kefk5#x?Q-P~B^xI``AS0<T~eC0Dk8XzYIV1b
zY-shH<!HDmLXDvrsDxbTJ|9x@Np-u0Jk{O7m4t)HqTp4^DveHYQ6QaSrQ@C$J4MG*
zr*z_2Mnld3wqJm09{9H4fxlH0eSljmuKgmehV4rtzB@ed%fthBGk@WKVrF-GkHx<e
zR1TWI@O#|hF85fpkI_9AxI$PkLz#e&xT?Z-4a5`WNM6ke<+?oz00#Ms5b7y6Mc4xm
z$=VibH4)lOyu^8pE+XUEIt7Pvv*`+cb2sVA1;u4?g3N%mHqd)@I5sXB!a3F!9pr6@
z#>UF5U0k<e$Ky;-Yr)Q9Vr@FojKibyq-j;k)5RKqO1Zd~qM}9TLd#onOrfyAH*WxF
zB0ye9ys2jtS^|t^62BEOU^6gl<@NJYso<CAFIndi5>6Lwp1;k5rZcL9r0SUEC<r%V
z#DE<miksnc6XiuDSH;35hT<g-p94M*0OGPzx<}|dtN{{f>Qr5M^GDeb1)+-ckS(4p
z59$u!g>xOqgh}a`=+q@nWLB<<ZK!uT8`f^1smv9p;*G|6z`T8uww`#R-fnGjPGuB(
zRRyIms2Cv?(5FzAk#aMk%f(ijCL$bq)onK59ibQ_c~Y3y%(P|JE6<ps!~jXG&{*wt
zqrp-B=?boNA(oT~>IIo_W^J!jnT1YJT08ZJ7x9p*;=BQo1~mP$UGWE(p}~=3%t!3y
zR=VWZba{M`-mK0+E{Zd0Gm|zrBr%gVCa2D%&E1wZN~7f44IVf;LFqcE6@CVd?5TYz
zEBwEpc8y!%LK)LWFx^Qq-3phg?BT5NYAe_Npla3q9IUz<P$Q(p^*kvKSA}Yz%rU->
z&%E#NWqB7S3}LLKTR6DMYhQUt6KQRv=|<`aEfLTRCfsoDB1Z!qYNIQ5ylu)|R7nlQ
zd6%%3kP0Gic10FPO63R@44qLxI-TF69;CXXt~@~yd$uEPVnIpd4Mt)i90si1eJE5o
z+&7LRuE<0HQ;yO-K?kC{<=NyTwP->`aS@^@12YtQ3n^pe{4v<FwpdBW`^9~RG3tm?
z%3_=$1BSudjtnI``X42hKiB^-{n@uiro2<=+Sl*CHTuoFZH?ZTBpCOZP5)E-k%!`L
zUwy0MDtEYxHTqX5fOO*Gu(xpmgvsD>yN^5qWE#-vbVmvhSfoQ+N~V{DRDpq4D@M9}
z>-DC#b7XxxLxwjyNRc6&<xTUF^#YQTP04*>QJ%vCl;%{a2Pn^0?*Yn}r=oWbPz6HM
z!+BzFQWe;k6X9mqhYD^ae3j8*{%{1MV7r=6b<^ZS&=_lRA-W7x9CXH-uu>ZX+nD63
zFk~&QHJsduo>3FDAQ4@_?!_@El&0)nrA_OU3qh;=Tbfov46{c<oJQB{nDLOZAfP1L
z;L8}`1uR=xJI_N$w%jZ|Z|u#M&B`3My6zfmd0JffsQh^(X_K3AM!%D4X)sbHu7#^L
z<>I!2o2>bY(HH1uvexV8FLNgVe>o6bYW=ccEC3CUjoyG18bg_2OgGwS7_AGq!r4Rf
zXU+l-wDy3ox~6l+*^K4pjI(E)%{i@2dGLRevz4aAR@PvWGI3BVtG^$uLRnd_qV%|x
zC6tV})yn!#)ylG9Wxa?rUiknQI`1sft<ktQvV)ARSfjAhMGIPh{DMd)%g$7|g2Q~1
zHq>_AG-I=ae6+kEvaJCRFW+HGt6|0VdX6^1u+Ikj$;bUfBE2Es_e{1FyvbxoQ7vO@
zuiWMw21BGDjyy8paN#9ZXc#zp3VKI2M*Rfc<_Yo_MP7C*PHu_`aZXoxi<cT8?wcl?
ziM_wd2%5o)b~X2amEyequM@+Z>yPNqfo+uU-hCV8UqJbq^$NWoz69dneSW>Kzm&!N
z^m(XlrO(0G>R*O-;cap@TuIG(bKl(PC<%YpE0lRx+!)sfk^T=9&jVtXlVg#a)=S2q
zmLvxlqx)dVGQ?zJx2NP5*#Ik}k|&J@YB32%1=jdl<T(>`_4{fe=i)r+cq9K4#lulM
z9r{7Ejk6D(Fz@27uQVOKL08(|Q=FCO$IJ4o#cBD3xOlW$oPrHRev@=mJlKspd{vhX
zB^vOKx})O6tF+aZ>MMqW)ncwp9vmmAKZoTCQUKBeKkgIVIB5GOem2UVc@pB+nJn%&
zl=qn4qPyditZ8RdJk*Qh4Er9Q@$$+&#TocTGKxprCV$KbPtHPl4~ED(&3j)dn*34m
z#1l~<sYB94rfi}f%L<`O$)xb$w9r?@oob^i_ZAJ`4Kw-kc<~?*MmB<*<*9ypyz8~|
zO;kU7%S~uopR5Sa9pK3vd}SSvCN+AaI4d$!%CxtmVlK~mOCMRnO+usMT=k{H>9if(
zJ<)}E0yxu9JK3nXzs#SdTRG0HjEYBVZ)#2S|A7|3v!dPc+UKe-YL$xzXbvd=g`htU
z+ZYvRLS)O$k?0B#?|P%+UN0II??QAlv{nQ?k=}xC0tV~}PT58<nhUzL)z%BPNB)W8
zteayCNIxp>4M0?9y0`=nDHTh?17P_9@pyu)XN0Ny`3ayKrG$R{Xqb9=H+HrML{blU
z+t{4*K>4~RQ%NUtws30+(lt|Cv<F3YJS8me0U4{sNk=o#X-p;s3-Bdncz32O#)*5=
z(fX)(gnbLR1I0_oKPkNeK>2-%drSQUi9SeNRbEF1E*J#a=qHc-(|;T<&JMjHtg{}L
zOv)mOZcft^zF3dgqp<ue8>W|*mv7y=We;~UKaT7;*<9{=Tgxb!E{}?LQw<&pYB;#t
z0Eo(fm{WMZ^u7yE1F~n6UZ>U#J<;8qlig&vjV`qV59c4K8$TO_=wdE&+u)*Z=8vwN
zDjo$*4jjdvYWNOk${oE~Jdo~08PfjwNY5TpiuO@)EQ}+N`{@+gP3C+q2VX-P74PET
z;-?cLX>y3i0PUkH(o66gP{|-f?VI@!U7Uqb%7P5Y6LR29P*2<mq8?~K3WkSBRHS*k
zTJ8Z(EDK)UL0`V-WoYf)9b8j$6IZyoLFhngLxCa5@J4aei?&9qdAm3zL<D#e<VAU-
zLGYQAAtj!d@rWNpM<ACBk`kl<oh=>Rh7hYf<=7y4jMjSU#|dJKE*C#Z55@PE|BV09
z{x^tu%XMUzg@|l}avjkNQU4d9QWhua9e8Tg|0eA>=-{|1A$7EVmLYZh->2U78mpFP
zT}Cd6#sEfnF-Oy2uQ(=)iM+w{Smgn&@;Fwx?bY0GQh|^9Pxaq}7!$wOxA3Rmz`*<O
zrEe4;*l*G|+M~#eGbYtB$j)>E$Yp{#z$l)OaFOK%Zp<g59B2$wI%vaLQz`mz?V&0?
zS1C3pd*${Ys<e-FBFSiBdUw68^39Q=0nyiqa}rOZ;yze;A*cy+!18zUa{2tLfZdly
xuYh?GkwEus(v@GEf;}Em60q|4KJ}RC^gg-rhw&yc6}(*#(xp5jog#1B{|jh6Jl6mK

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/column_name_labeler_example.doctree b/docs/0.10.3/doctrees/column_name_labeler_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..b9e855697266dcde3b00580a6c1e0e5393e924e7
GIT binary patch
literal 35588
zcmeHQeT*Gfb+=>hr@iZsI16dkX1XEv8vNecB(%wrMGA3Ag5zyW9AXrldGp?z-I=%Z
zW*#&1cD+TWl#eQbi&TkM^+PlXg`!Grg%DEJR%%6C(W0XMQ6WkZMJ+9DQN<sXDiE|)
z>F?Y-ckax*d0*pQ?2=f7eKT|Kx#ynyyXT&J&i#1b*f0O!!+ZEYb|`3BwtKB?)a$NS
zH-iqFtb4U~({#hm$2zBfp>w^n$fkT_EAZNW&Fru}NKvzFr|z3>=PEwVQu@$#f^tM)
zs%7}bx^J|sn1VIN-dlNxZEk6yWe1w;g=W?BHZ;%G9<jqm+g0sBD-2t~^3u|}9a`;b
zx#l&OYDUWr4aalMCBI#@Yo5Cl`lh+mG;DWC(g>Dnp3`o+x@$B|-7%`BWBR&z&1kk9
zv+PzK+ue9`MekS>VAh&KUCcETyrV9%e%6>ZOP}#||7G(URh-TD<F@mm4i^ln)ju5@
zhb%~x)=@U4$AY!?vGGWrt870wG&`&9s==m>F!b$eJ48E>-1ph_05WD1HOB}7yu|M@
zswe+7S#P)0L)EBlplbZfetJEq4s0CB+rHgl@7hh-ciL<sG}bvs)?sVjI@qp4(Bq-u
zubT>E5T(A$Am9+NGzivOfFS2LfyWZzu_Uon^4yZZU&pXs3qYKd>AG<nr&~n2*CCx0
zr?u3!&RXZ#bPTk5=fYl5aWgJnlDDGllxNyH!Jb`uDlq+EX(Mn=qq<Z(r?-5sVb;Q6
z>1UtReY52SOXrQyc*6JAY#@CJpbC}*n1<*H9qTn0ZUZm-tmD=`G{hb@W7+GLga1Ou
zaMzQ4Vx0F0DX%QUz%8X``(5-;z;ewa_3%79L~w>cE#C|*&#8AlJo!WM@8_wGkIKTW
z6V@YOW-mv>1iE`l<)BLrD1Pc%(^(E$2I-{9778={O|wHqJe?_GToe&Nh_>f;)sU3J
zSZIe%QX#Or9_CtQ6&*=?TqqUoay#^V+i(Ps=K80JRfN?9KN}=(>%^+{8tUkMQD7ta
znn=ziGzIpr2t_<lDpu91Nf9Jz90H94k_LOr<&+W*O`~R+fo6G7&z{x}OrYJ=%xiWK
z+U~kmsVG@o#2DdJD$9{Nonz(EXeBh~s5v2)_a~)@W}9&A(DczDN|UqObJ&#)b|_O3
z#SPFlZ+$dLzJDWqgt&oF=h)t5MTH)+Y!2-5ypfL~8*ea<)kCI>5!g3Ev#vX6g+%>C
zx8MUAebFI+X5uqje%v$a)M|!X*JxO_e~zB0LD5M{{TfwBDTayl88Kweu~S3RObBA=
zEU5QqlVZ164AUEE$v;ez9NdzhZC8hDra7?tdxJXg?;z1{3kIld(c!J%jVpEd?QNI0
zMr5f>XQa*!WfH{L&AwL(=4&YMtHakA!wkpVtB~!>qgST4q}U|kHr#GOC6B`fgvo{<
zfZdvXtz(VD=4r3dPqw$r74@gVKvGN1rL@$8Z?*j(Jfk^g_)qWqwLr6*Ezb{y?Ch#<
z_%?KwYnpYlu3_-O2UwQU?vqlxF(OLD-v_JT8(qYA${M0(H>$&5!&So+tl$v#ujwax
zy;KT&*nZD-w!6MSRnA1JQm;B*Z6lF_?SDqQD)c$DnRrn3hFWagxp&W=EKI0by=E(f
zodg?68Zm5=Y=XA24gd(dAR3SwuL2E_I!1qhzAU*Ek^SbimJb3}*mMXdjiVy-A<hSz
zbgN>{(qRW5#&GnIZyKxko2ZkJN8{DV5O=&UMELQ7>F8Im9sg_uo;$sU8fmSTZ@Zxc
zn|PX*Ia*MvMxfz;t@`wI=x;AiYxoz@tHUgVRJd72Y3i+M^IFYph1z2rx<BLlo-cBs
z=yJ;lt+MUHZV4C9p3zQ~%S+|*snh)_N?iY#)FutI`*{PW)is;8-Bvr)F^w{MgKg4o
zZHJcU-rLCl?u`VUL4cE3Zrp{`&{ARD^!?8B1igDH|9nG0FRl3&*@Ro=%t6Uvo@rp5
zHj_Z6{4+d%Qp?eBaHFc=UeGWlvSsIQ$QSHla=eE6t=q7CVFa`TZWyEufhJjW(Wgqq
zf%TwMM}XZyI(EBK;gDN|Zn(cF*@RtCoCaFKBw;4(=!C6sM{m}_`H`+_DV89<`G%XJ
zoW@|LQ7ssMoR>jX11$MQHKxqR+y~Hdv4zFHeVOcRBfv-&YF>+`CwwS_3GQRS3&<SL
zt(aEb)`FH<v)8tzbw?BIXdE=P$hgpKVQW+>m>+TfO|Vp{Ae94zm$gf6ySCwMOZ`O_
zV}NOSNC1(T*@8O;w&b=ZaKd#Y8Iv>z)#N0UkIxZcG;d9$g`V6rY;XcMOpKwshp4e?
z8#YvONcsJ-l*J5d=aBJ{4CTSdAYRbQb8KnER!Y=+<gEQ=Fq;N|97N!ukf=~)^ZxKc
z@mdEr177hs!fs0OInqy$6<G};P4G7*G(@p+A*)~>YF8VxXgxU?M59CF_O5qn^Jt(I
z_!k`3Y4|r@i<iADz{Y8O%nZkWPOk<H$HM+=oTCDj_4j#ttTyh$pLE^Q^;nHmUuqE3
zR$z>kNo74QTsh^g0b%h}jvM*ZY1vhFnrsYM-rfFz*DWL4hw-wPY*|l(=kJkgpoC+C
z=Zi?4Yw!qZr$M~fxQyhDr|^G0?3@f33z|9^Di_|iTaZ3@Tld6fWJphe$UuSTLwcN-
zKM>Nd%Y$?|8lx9!*0J);LJ+tMS7W%2k|hnrd-7yb42lcGNG68jEK=t}QAp|5fZ~%$
zlaD<X8N?-6P9<eCmAIW<GU!$8a4T{9Df-l<eG=h@$LJ%s(_xM&qJxe1Jfex<LS4Ed
z2&{0tlO@_`4)Ih}H{nO*6NfGzqR^Ncw>%?^rY90)JnC@mw-6$5!yqx2Sh*qc%35JJ
zNC@Na(*)D}S;ea(<2%0|F!7FYp=UlT?znQVWay{WeAY6cxdm~Q1X?!qf>F_;xy9v}
zGH=m$rsfu3c`JNkkvmLlwS5GR$j6V+=NWCw)V6HLk%m7tta+{5*^jA$Y}QTN;GVZ$
z0?{adLlcO2f>5cXhulh~tnpX@qC#7k8)#KK#6-b2X~IAp)J^!coFIOr2}V>rpI@vw
z-j<q3{8X{(skUK7DM0XHEcmYJ225=gWQYI{piHZmiUkgj>ls>u;X$SI3C0mAA5Auo
zqRnzX_UC*@!2V0cYjd<4Ly79-eeGYLqumIU*4%6wnyMJyBA+Z?hx0pv@pwdLJ3}u=
zPU+z^tAynA<Qe3YN~YlSL}rgh9b>m_xi9ffk?uSr+j3u|mM=Cv`2sJ0kS%xRseOC)
z(DIn3iNIxmdC7aYzn8qo^lu^b+oldxZHM-zsgo0CVOe`7m4?#2XCYoGg74h;JEJXd
zZ7H9xpBb2oM`IR}8EGhA7@V`Yty>;e+hEZUTnIsmgnXBway8A)!kXa(L)Ema7F<rL
z>QhL>H)^4d=u_477t%#hdis|ZPj{LO!;~f6IP`}8rDgAXjybSIF4r9^GBDk`l6}5_
zVl2q^7+89?g<Nyp;3$lja=?^x*X(s5?2TvB<Q8Jc<|MxVjhV!@TXWj=Xt5TkT?Xh?
zlIzpcoO!)zv|3~cqmyuiFKg$3RW8b9?G5-TtG2A&dp%O^uXHehQSFruMuI5Vr(fw{
zIUOvvO1P2qt-SHJn4jRA!;HGIpWv^NI@eDiM&PtzGla`3ZJ-o&S*595_`q(NIY(eW
zWP|4;n>n)}Qqasfz{?+O=D<gIH+e7cpI3v4;Q7;diXVhSHk#c9W%6OsI!8(gjbA=*
z`&g{^1lGJhk;t@odV2b95nB?mddh}eJm6lAi6#BGB4`!G=hYPKBE>wX#m5yb^L~*J
zsLDuNQ9s2Xl^UH^Qcq{5!6TT&a7a<KxaxR}p9a)D!_5=Ptc%jYcZHm=uLyWI1e{iL
zugmLi#njxXVR~Jx=59yoTs0?p;H{zNes#Ch+|zktA2rx?c^HA`d*(0k@&~Co_7YcI
zk>(No`aE>f<H;aX#yJ>imxNkdNh(I6VYp^m;r}mQkUohO$V%#oR8EqOGS61FOs5sA
zi~k3Vrn_A$ul<X4yXG(`h`Zf8kvg~A2}Il)-R{%7)$M*GPwb<1yI&th;Q8I|S9tjY
zyWN6Vmd8V1a>tJt|K*%fj+1Pdq-p5=ex3}9LGN?JNFs*bi%6XdJt37_1A3p?E$IDo
zp4dl)-aif_@O<cfgO@)LdMERsCp50E?8F#;!zNEd@PG1TQ4E4V7)By71pfu8b0H|C
zb8A5G5Bdi#Ph!fDTD(TFC1q60kckWh44XV|p~m8V%%0{OC+SZjY?yXEXFci^uDd(V
z!NYZbk_^{fIS0`{CRXdg9^e(gVnA$W^tR53@EFCzc+{?nSru&utYdi}76{^hShcr~
z;9j)ak9GpC`(7K-xRQ46G*%E&2o?)yb?MT>1|G!XOwF#Fh{KuK09uctd)+CcWr%CE
z7+=Fw3w~?OYlnPIAPkYfu40c#xJ_ZZHOE+A=b>wjyLV|C#2wj^Gu~0+ptk3hHC|;b
zbPPhXCF;q2jCI<dscjlg8%zcowkOp#P+tl#+9FyQ*iEc0^r>XNPSVqA4kDZ+jjEZ)
z15r0HDZ~0kyVgcll!>L@>ykG_iy+}jg~<74)7y;7!&Wvthi%`*3lcZvrX(tBNYTxb
z_J*Xe)u(0ct+s18SZOIT#|2GC?bwGbmkh7C6awvaNYtL}OHNnN?hYWJN?edZS$k+5
zI|t5ab?o}&dxE&&0iB31$+4bw;tHu?RVtT21Oh4#-v71}@^z}T@c?wF4PsG>a`6^|
z2mZ8mEaE2o;DxJEc>3LK!%;%*S3a!YO~AEIYbvQ^S|Y2W!B6i}*HMu{wrfQ|Gu#(z
zhOT(>F@-hNd!_O^ob9fPU+$z^$<XbuqiE>?al&KEbNL!V6~KC>*v0xhQM^9ie!1we
zL<_xq>f9f5lTsncezTu6uo4vSE4AX-dhIY{hANH?m%e|U5_&<ZO|{x2)(i5JDxBAK
zvv^%6qH#`9WbvzA<oNmG9M7hQ-vr~?Fa7x+3Pm3;&gW5}C}R*Lc+LCTpWhoo$Y+Yz
zqdc0)lBnaTIs4atu2RV}hNKQS+Wk?n!h6Y|6_>%u;Y==7AR9JE|2iM9RAiUWG2&#^
z@9ddIF~lYCmEsa8kxm@iVpQd_5i|Ce$54It+r?{Hj@o%h6E{)KQFHdM=MJ~~e;1d?
z9EH7dEcJN)%zCBBsbSjTkeyS@RcfC{PC2(OxJpfCk5;Mu<!*Vo?jGBL@T~?S1;e+;
zdHDmqT#dUmljd%itZ7DKz8<aarukRhTr)8Bqxp2Sm@OTJh@2S7?Fn-6PGaSb+OhDX
zEHcI-S8@;LwMj8=+XKV2OzdsD2dQ(tZK9RZ;2&ZoLmI?IS2CojT=<*hLUfk!mX*ly
zfa8<Ql5(z<qEJ|3JHtuo&4R-rc2(5)**eL61IUrys}Qd{jk+YfWlA9IQnY=5@4OJ(
zEr=78r8ZoMLP}JM<SV)TA`_QOuzZOY^>Y^z+)ZN7G$B4o97~ny%(1+!54k%6vb9TY
z2){t<_WSI_IQw?9<rp>Lu_4!=>~PX^6`$!MrO(f8nq#A9j5|i-8X<YUu}ObMa&iW7
z4({aqYSPKc{_AN|tHJey^M-75liW@)5~|x+*jLt`G()~gokYzmqRI7tk$23+>2dr+
zpuHiTJaQ{4!E9M}&4PINGQ(x~qq=RqO63gR=d3~%AEd7($BLqSJq;+zO<u}MCAG*g
zvGZl~=ExvndfY4yfTs_}=;(5E-LSd-(G2au&MxAHJG*W>qb1}+PyKm)RS)Dy1N-(I
zT&V*1sPob;aErRA)01El_5rcv^v<4XGW>pShxl#0NQ49uvi$bxRWZLk(`5MlLUDe_
zMHf~CnS9e96-V+rJ$C=hq?Cao%#rYS1vyp2Vcz~QX&mEhsD{+ZNnL#95>}9H(RQ#N
z>M>GdIY>q{fSmc*3Wfv7u&IwiKk%?&uL2%OJNCpB<>bn-XDddu5!f=<5h#cP2vsxO
zGEEnx&&DLqoyG4S%9iGy22$gUQO7h~<l%(GEDih2OuvZ}ln^izu_T1EaKwy;jcIL%
zf@*x&;86x?ydV@84LyijM3D{*WwabV5vmGQKw?~oRy8$~Z_pm!$+UQ)*WR!e{BDN!
zU@b`8a4k5-8z;eX^rAn<JD>|E$49X;C`^&$8Bk2~OfUNLJQZVC>Xk8$WkrYg%)5&7
zwVyhLBFDt@K(3-r6m!L&6&cP|xj0w3<6Iv!?(i7$P;t%&U~@M|lFP-pp680PhcZ*m
z%KE44kD4*A6eVKzo>gQyTGoqmpOtxIf@sB^PnjAMl?vC!l8JqI%CNCroDDhn#*>re
zaNGyH1&3pH1DuL+M^&ATM{oK!;eo_RC1p4fja`ZuZ_XEsb7%d?20_(QKe{q=Bs`pf
z^mXJ+7)S+<W{a~&u8MCa?JRcwEn*GN7VHJS{GqPhCyfbdf8n%b(}$G;vxTO=Fs6ie
zO)PH2+7gZmI)m*e2U1gj8746*|EC#9C9DyQlM!nYmSg-`mBB&zR~ZU}Z4N4v+Z>a!
z&Wa>c@A`9x4xW*d<Z>qUUXkY9exo?IIJY#$w)Nc{?uLWhzwS8XzO!2n>-`fu;IQ5c
zA_X1R|I2|g$YFhD6RYP^i{Jw@6rCqne9tM4*;C6JPT5>oYr7lUI?f}(zEj#xDxSkF
z56`rxG<wGA<&@&y>$!{Ti8}Yg1!6gWw|i-2^iA7}v%Fo4=}pJtAl=lyYgLiK+57F^
zP6{AH>8jX_kTWG*$=RZwzc2Y^y>T0B33bR`?pqe(j5h4Xf7Cwp-s$oirsuqSMef(`
zIqzPPo3vA&ij~WJXLhC!@R_h&X&<TFS9)NqI-p82%|lI_IkDlD9*AQrZo<(CKaM?6
znIv?S?eV-3`(ZfyMn6mNCx#if<8bCUQs;&<#TcG8jfMzkN~2s@)kVXZX(|_I>AsOZ
z!L}1m<m?_$ktb<j4oVg`N#ik+;e6u}`ZH1>?R=br0%;eI5##FQ;7>kEo?FZ*$P<g}
zg5uB_VpF09i>EQ6z%etHR~La-9On$*tEvk>EI6ghu|PZ^niQf7OtC6FnI3x)Fh9Z0
z0$dg&S8YeWQ+T^*=0Y}@nA{{+XTQ1^v&x!gz0*K?PsOt63LDL&DlFS)Di(q&f*b$O
zW+)Aws!-W{s`B2OEX^2G>}GS4(<15K-D9QB#W`Gq)R4f2P>W2qWp<$!F3zK0?9PF=
zzsMUt4UmzKTKE9rt=NfD@8jhUn)<MJrsh2o_w+J46%>=2Xu5Fqj9km3i^Il)6>=~y
z(usWHY#$!X2)NmII^M*#izURE7S63ai5DBXK0b`x<Du(0q|P0>L>r{RJ;czJ#%R%@
zD^2C%JwUqRge8U`wG;>1TC8;m66;w`M4+G*B=Hg)rPsTc-eks18hR21t7Rp8^^aPQ
zQnFqCMy^MZt8NmkoW;KP(blr`T{%OmOZp7vC!aJn<+7RcG%`INUF1busMgxp)5Z4@
z$w6b-<S}R)Uni8!H@-%HMjG7zHqOBZ_t(?lUPKvY=$zX%W%xZXe8cC?{3q4Am@@ni
zUj9I3_)$c3X~Ui;uU84`w!e4^V26I|x+U_|X>l71Qa3mHCrmGH3=AC37kW6KFWBfq
zT>|SC<0{54SGtELb6U2T(me=L1KT%Ny5C2W<|<v$)=J~h@`fRlZn`fNRk~>^7avUP
zzDPxIHAfny6ls(aG)hTm6s$2c6B_R%up)I34a(9w=GJ#Y2ldl)7rB1uqv%dV%OSZ9
zPT;JI`#B=+Bn}59i-FO2m|Aka@eutPNwK{-&cPMiTZ$^S44p@JO|d--hHqH0JwvrF
zrr56V@&_umM|rEt!!CLpHN)@i8B!<h9KjehT%By?$+MU`35StttWGLOovTiSghy5<
zX#^HkCuu4dFYOwRKb0r<QP0o##4r-iKR@FIUj9HF{}4M1+(7O>SF4!=pL;U4Xs0+l
z5FG7g92tkT6N|zjE*;Lx3#X@}LpV}>B69$Y%=<1kyE?chf$n2GA|fbIFar0vI)(`j
zOzri8Q`s-esRU(R=l3@2I)2eIbX||<R4;ouq_xH$=b^Wl*7&1gFdS=*Pa}1%))08U
zHMB-$*R;mJ=gECkt?_TeNIYL_e2bSqP-{HRk2)k@MQRR9TP<Mfa33c8jnip;AYCEi
zZWMSy_{qWeE5mAP^U<!+PosR_RF17t4CQ-3YM{jtqx?I)P%h+uYoNRVlq*h{G*-E-
z&0DsVw73%{_6fOPhdj_cWy%lT<=;qdzPU&iYNFJ{wcoLAA7A^e?u5Uqdk2#i%G<%a
zOnH9UI<*$AUBPYMs<`aJZD=BXOJB!&gdLODoa!<pTML5Db9DE|UN&26`#!Ez(WCUM
z?4W!@*ROY0*(BB|P;Uu3><F%ir<<UIG7Lm4taj_Tu<{*rwoah#Otn|p)VhglWewbM
zj{H-YtRSplG+TH$Ad11AknRQ^r=!QV@8D@B^lCbtIYeJk+!*-sw>#|Un&*X>jGKv%
z7xuClx`!PHwd>a~XKHrvW|j`(Y0*6~bOn3>l6Q$WrepFqy4b6Q8#Zx;36&USh+iCp
zTM2gq>kc**Ih_l)v1!Y2;>R&|1THDaDm21&AQO$TvAS7puY=y~mf^dQ6;fb@RugZg
z=sbCoD%E+8&59dHaU_vP+rm0*svWMC?k@#4e$S^r>bN=7^L3nWQ+IGhFAXg|)K-Tb
z5`hw3Q5oY@I_!AnONK<_S#)(aE9iFTo=<<sWM+q{4gmy(1uf)x!^ONa@{V3e9Jl7O
z+f28^ZpVSUo?qANW()X0F}RWvau^pUzLP}kI!@@7H#yH50K2YUvD<8bYNp<9w)7Zy
z5G;Q|>tB7Ge?$Zi@i&mJ8&LDBSFONo*FF6juKZnPhj9Zi4iW<LRZfl)obkVD<4h?I
z(L>~aq3b1u@0wb2LUssrpo6Fk#l>)lz31ZFOq5Kg^MZrU)ef7ZUnqpG;6)m=4N<G3
z$q)F(R{RKv9-&?Z<hbj&(8$5jQ(@<Ad%pSIF*e&WTROyoXdF(gqUs!^H&p}NQ}<w+
z6^5-~d1+~DYpX0SsV#f{`cmE8TtdoVsl)D|9Gn&8&~cwT8Y)D?OyYg%p0oEsva|kL
zEmI7=QN_&5VnS?r2+Fn@uJK~%4rLTE6&h9aqIzg`E=;oHz+_X8yJyV49<&G{&$Gk9
zHZGaIrd#&9<={WycfaEi^bZD29H6DYyN!MgZNzTp&*D+X&C*6B+T%3~+wp2>KGEMG
zWiCSG-e|W_#4MCjXorx$&;!o{JsvhWt^os5F&rgT5wxr6bcan`@=!-#-9}lKX@;P7
z2M+%-HgvOz8-(QY8qVK7)7|V~^2R2Gia?(Pyl~zbKVe$OZKvxdR1Uy!1O)*u(BcFI
zEFcUz*P+BxZ^?q-uR(1sei)~2QRnX`=%x6*Xgz2>(D-TUyou35`ov4|XwkSt2b#-U
zzY1L?R-%c2DY}2P(`aEs2a}svi|>#XQ3X0-O5EPnX;?(~q>3h}xPuxFWd%EpFOz>y
zIsAtW7Bs#@`4TY;RZ1ed(RdS?G?8<SlP2eyEIjLuYb;SSNIM~6Q6w{U+H8uNkM6Ih
z#zX@?$J=j}H_<AW>naz*DzDrsXLXgcvdW8CZCeYJ@d4}J#tUSjtu<c6AAX@><0bk<
z=fpQYLBD99b>lbb7lm6IpQK+D@o9XDevuop@mutZJP2(zlkBY=YBMz(;~8NU@Dp!H
zDa&*M)5$j?9gvRR-K=^}tN?h@W0{w6>ZugPDOoDdbTmbu-yKW?`W;zX(U(2A%)1UP
z+$Oc&VF!R32R$5hfY~tdaP<CTko|``Z->%DXbEZ*T`r*G4XKmj(3WWANWDG~zvlh>
YfV7w#Z=G^Y*J*Hz#sTtYwyWj;14g+S2><{9

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/data_labeling.doctree b/docs/0.10.3/doctrees/data_labeling.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..bd24dd10adc988a5048eeb9185e4190fff64be5b
GIT binary patch
literal 51637
zcmeHw3veCRd7dZ|BystYXo;d8wAY{|01R*eKJ<c3O(+r)Arc@>fD#>%xmeu0!0z(i
z-J8363BV4gk`t%Wc<m<j^<>&qW4Dcy)@d{8q%&>$h?8d0PG-`XdK@Qxq~qGtPCc$&
zJDq06ja#SR|DQd3cK2Q^?gOAG864^2-re)~U*|vn`Tzf%^IG3$zxW6D@W0@IS2ZnX
zC9juCj$1OkMzFi&7V8zm@f)9M48PvE-53h`Yx=V1)@wzh5!{0kMbj#mYKGIeftUNK
zyl<7geAvKFU#~40s=C=19L(pnLP_`aLRnuh%9gV<(J*)2XaqUk_iNTd-AB*V({`)m
zq19klv8;O@9^!kSqgTYY-KBa}{aDb8H*3bCD1$FnsS)g>PDW)Xje4-l*O#bD!^{Oc
z(6Q0Dur1hG)d9WVFt-Q&g$P~z+9|P|9=qxpHE-;u=NS6JSn+tFT61lq=zC+AW(zf=
z>Uv}6(ADLdyJ(e-+8A2##zgJ01fuzx=QrvLW`D5DLw(D2BD$J==1!u*5MK8AmR~kv
zuY$uDiBv{S8=5s7&+@HXhDKcuGv!ca$DFZ3RL&^*i3T$e9gUir`D5n$&F$vEjQPHq
z`hsrW2ZEaiZ#2vY@c$wFe;EHia-&f<-)jz|_!FYIdDML0g&mARKj@|})%2<v2lT}$
zNApd~)5_LDO|Pwv;FqEKMy;Y9BT{IR9mh0q2~^d5R|EMie-#gk?vexKTqn<X4VmM?
zBWpL<h%m}51?W%5kp;DO8<nc5dzKdm{XhypLE3R4MiJbqQ}9bO&&ONNCgTeP2uL>`
zymuYk6<+I=Oyg!`GV+7w05gyPXNCfr4~b!I_Fa2*+dcO@U$@G>1s1x@H|7|GoyA%M
zS9OiYqP1v27MD${XllkSy<FEZX1PYutyIg#ipDkl)hZsli&0yi;pcNNxHZl5YxSaE
zuNfsSIigv<Rx(ITFe=w*i5fC=^jLJu^@@|%UNH?PSF1Y?R7li?7J|!7)}b}T8)H$g
zm(fRD1hop3Tv=O4;G7EuH?N&{myKISO-Qh+2*mYr*<JQDv@Yb=ujxcH)39oqyX?ez
zF={#8)0T~LSxB@wzC~sht<58IG<ZyiimA6hKIQ1x-D-3Mzjf>!$qwsb@0f-;LkVn2
zt3oP@;Ig*ZEZo|V5ZJMryNoddnI)BYOb)AKG_D{@rC|+qb)V(6XhOLbF&?xsWKc9)
zcT%G!ugyWz=6G0^EzgfeS}5$SYCWk+Uz7tq*q1;>s<}Ne{8CEJYoCau<Xl#A&-YFv
z1xBzDtr2K(OiV?RoMMNh$8O0W1qEyTpNluKzQz~CnBR0JM`9mreqU)qwm0kSkBzJT
zV9!FmTsHgy32tl_Rz^@iy(w6}QHi|{c3qvhFmvgZ8NsD!@-qJ(*-n^RqxTU#@Jchk
z*gn&w8aRk*zp|cb^vfvpw?*4Dv%-`zzYvYHU1!dnyD~XDn}+pE5?1+M!TKe%_q(0L
z`W{sKmp#Ec`23j}ZD>JvZfbh5=++%ybLy1^n*NTDj~;(UD_KjH?}hfJqWd3*xU^kg
z;rhn_`rmhs>jS9vM?K-X=j@fqb5nDLvuCcHOY`PCAwG#R3g+*i^Y3;J^Mk1NKYD_B
z-{ka}sfz_EF$`tI1$zffw-E4D!3cCwMzeQP(Y8&0IT#L^ntd;7_JqTZt5>Je1h*em
zpo{kkVt%FBN4kReAwc|auMnR&e`fZ4;nJ1Dg~^X-LzU8#BbsOG$NBTblTVFkHQgz>
z6_^>GIieYUF`phF_6dbwH?1jZa6_7Xsw-+71~tZerN)k_%P*fw4H$b$;V0fJi20Rf
zU+4<rhXL`68v*fCX^7{O5I?2ncbi{n_Ci+>KLUt<vR8=rOrJTs)+k?AfG3J6igO9g
zUhNA0M*)AmSNL~cp1d-9DLp;gpH`sD5(;X5so6i@71WOb>Y!Js_g+4KX=bu8b9MUp
z$t!7j`GSHySx#ZVMKt?YyTafIF!;N@Vz7O7wu$KfLIKXN6}<dLvwyoQc;5?n|5?xQ
zUcGWLP3W)0;HB3JUVfw5U+oIs_W|B7_X_XstFwjKxifQ<X`sKQfL3J`<osH*zugt&
z8X*5>uaF-&cV+5j49ddAsk4(avrPzWyEn2Onu;nsxRhpZr@|du5AO#af7vS@JI=MB
z{$T~Yc&{MlSDO7uR}c>X;zOv}o4qqPHQhw+u^7bsUO~*SH2Zj05FZ7^qrF1Bn`qn$
z>K7E$s*Hl1Uu*XHt|0#aAV1eD<h!P3<|bckR^B%h;876;H^0^FLRWA<4!B?K74E(l
zE?zn_msTpif;udqVCHw4eXA>&p8(9YUSZz-;j3q6=BDO8k_P*e3T#zILC&u=`%_&(
zJ_yL)>=p9<OIOZK&78TI%cVdMc7<=mbNCVDZw3CZ5Zs#m%Uyv#gqol43jDR5E5T0T
zLumxtj&Y#obD@8qTo=;6|G0EVNYBbK`5^efREZ)li>uls1z;@r%HhVIRjzsR2ugyq
zS6ET&_XV|nuOn(9(q#WmRD)v`Bk>qTFg&f_1ejF>4lItJAtd3HG%G}e0s+G7DME^H
z2z5|H0sj>N{Fft8+6j}%wQ@d&1c2`k_Lbqqs_EszLfI|ejC-^Gn^md0H4&DO?nVs(
zgHkn@JF1mkU4%y%$9M!H$3IS^T%LF|G_Z<*EXP#yMeo+YFuxb!Rk)C&a_qb|YC}vS
zqgJ5!%;`bpRURCsZYv;h6NM4O4JjM>x^r<Zpbr2dyUd5LhUj6qBpwfbM6iv-h}^~Y
z*C9h$Rz%RhQYlY(Rh{DL@Hra@D&4}@K134m=*?hvS$CG|`VyY)tgiYdV#dLK(^@ji
z_}?!eyiU<_#A)rXk+_No-*`d>l?n+yAcx8*2VF7dM=fVmiNGjvtf9*=uqrQtw4shr
z<(cg$9}5>_K2L;;X#{6zp(k2up{wy=2g$h9L+uuixL|MJ&U$+r{b}2DB~A3hX!x@x
z`cOg>J$G5?pfC!`VNop#+jttn^)7`aUDBzE(2b8seWadxZAPJazd-XqM`%i&^;`_y
z`hxvmfVrF|t}Wt6hMtO#`}I^!oDM?SOs?n@FxI^A4-!C}r4g-CM>uQ2Alm8puU6An
z;eSH}*P_Dw+tZ48g)&u24k-=i!X{2@uMV6y%GK-sORni?(?|>{8x^-^T=yNrD0$cY
zMb|CmultwFhVJ3%S%h=1`%gak<mk!q<D<t<oII5u$Z65Pf$RQx3$;AYx$e^!$MvuK
zCr_RlefDWlTALcIXu1Xu`h+%)f2U5KIR5OZXP-U!?1^WOpU7W#25yjE4Fv|-4Uiec
z`Gm-bh;|h26JkSI5jl=dBh^Grb!#YD23BA{A{BSRtx_I^cbewOA<uM|3q{vKT8!Zo
z4e#_^t!@mnwpUPj+89FXQ5g>3wGKz-7A*(U8FUpm;(_T+puRdla072qGTv;<(o|po
z0UQqEY)Raf#6_A^1i&{<;v)UYll2iO&#cMX{w{Q({XP2lGkm;h|1W$-)3W`)@vCVn
z{_%urRrxl-l_`G^=4;t=HDr)^)&everVC*1EE$?x_p5cE@(C)s?~Taco>j5RdW{O|
z+OcD^RsHPhv14H|F{@D4)Y&Qj8?XJ1-db1wx8O|Apf*5-(bUug(|9K=2~3l5o47y1
zN>2HGjHLpHS@le+vCK%k{S=iJ5MUM`4|Ycsiv%F{tOcyfgp#IF+~kqd=#>Polhf#P
z5RT25Mv<RH=|?)mN2qn0Ykq{L)mf}eD4`}CFk$A}%;c4j#oCaE98{mi7^fB@PKOnv
z`o)W(<ccYeJhcL)H&(nMo?Jhs4WfdNB^oAA&#etkXm})gEQldGI5FrLwZRc>5V<^s
zWw%x;aOw^j=oNisaDt{>?Y4G1hiO;MoN?<ZS~ZEe9ObI8hWw$hv|LAB+mfWsG0=X5
zBq`E*tV=%(?YPm?-dsWzD)kvW(Q*YEUm2v=pizy)8Z=&`ja4YE-ZEC9hvztlQ`csU
zWzMV?nSMr1PC{!Jh-hg$VwNd)GBr_lwQWT;c%^A3R+_I)8)Oq$UWGK8(Dvl$BA-uF
zx~YcMg-S$)9;2kd)N(yH<m>Pp>b2o$8M>)`C<6VoAkar6bUX2@*)c+;*Qk^gkukX*
z)n2iXoJs3H5XcBKh_z+QH#Hr3oFX}xX9A*Em}A!3%SO4-p_i?Nn~mq<f+D!|h>3ZG
zwEb!N7zx*Gw~Ru`s#SI0JUuW*f5v=w%+qffW1)|3K$OHDgQDr3K0%X5V#=Vh1>Z$0
z-p!$b%BrYLEe#B7N3~hJ4l|(9tMK5#BS>;oGcZxf71tL1x};wu+pI|6fM9R5BCRCE
zKBh<yv#gEkqmHr6DpPEAfyz?uJ5dHQjxvd~^lX<MDWD8xdE_E_rr~{=TtSW|>7sKa
zT^Ge36{#`TDHT!9{sO53<Ur7$jvREKk7}^myq!>+V@b71&UAtlP#Y5J_(+OWVaN3p
zBEKmR`9~30ov63J0uo4sQtB=E&l$QcjzqKnjrB~ZOPc-tBS`B^Yai$kse9N#M4o@k
z5k@ZguJi@iy=-x_g-n|^yfMqcV$~Z<E?UKO1=F0QBNUFL_A=q88<KYIyB*6&PFPiZ
z2|}{bs^ay82*p&z5t9B<-5Hglzm~q>f=y#Y&KucEgN9#*(iodu@v-vaF__R7Vj711
z<#^Z-rd>4j8tv$jYNX?O5uNQn731+gb~GNz9{ZE11}l~zu2`=1!`4u^U?ydc4dKP(
zhBrLHsEE(E%VT7=3H;!7X8a~{Gp=t;XwR=o17rja9W_T2%V4f7v*F^hH=GqdE%c8a
z%WG2(_KTE2Fsyi~tfuFp_wf-2{{V&{?Nt(9b+QTPqmt}0n5Ug5q7BLFT-_s#sOtQj
z^e@E5@w{+f=b207ae8HwNTS?6o7V+6{>_NvLTB4g<ADr;1jpKEj1=1^+T)}`kF~;|
zrNC&*t3|LwLdS#WdXowTOV2H}peVe32Y6pA;szM!6o-hr{q9T4q$K42q^v3+nP5A2
zbYL{tJE*i^HWTbfrr@itf^`bEK-ca=Uy%SEYCVV~jt{gNVyb(_^x>W`-6h9sq#c9k
zQ48qR+>zz({4{DxRT)>2!O1!3jYXHXNs<<U3PU`v#+yVDiHdo-NxulK8QEW5)s3*S
zPYD*E=!9CP^xu9afl$(a`z%__FvCLKkLcqde?3mFK>l_D-}3qV4GrrtGQ;_yMrxP>
znC$;Y6qD>yr|9zhNHM$h7N67_qGmo^zsMJ%$%a?6Q3syNAPJYZYEhb+etB{d9%Kd!
z6AC#i6Q)|TWyxr?N+N0Lkmfz%JeOf6YMu;9Bx(kabe?k(vnPyB_H_U^xVGsP5s&hI
z7zQtor!$x4CMN_PQnBM=(Wt`Tf#8a;VI!*)5z5G+OZ~&uYSi!$Ta=H6(O(3c(U;h*
zO+`pt<JHE*4q|r8;FYmb#jgHvPjlFvYV2&iMh6X)!#(k_$&>^EQDx1i%o~Kf=Y)HP
z(HX)1WFHXxRNaCfID(7`1c*3BzGQgRD+_?Xj1UrUkoL4!uZ?J{H)zi(cB@{aEr^7G
z@Gf)WRMgz6d?_g^BD!n%sTVDOXodY4uMUQ-4c<Uk;Um!op77!$3Z%FCg1zGwP{F#Q
z;8l?(b$UF10uK7n+c6R{__Sz|mm`VL^N7|QU#6Y8n0v$huo44e5r^8j?Hqp=tP;d}
ze2v&*So2j`^hO&o?G|;Ck?k!dA~M!43Rl6}nP^)|L?|<%v$m8-E9D`d{m3Yh$jV`Z
z@W)}0Y_tdAvk3zzmaMS8RfeoK3aoZz(Y2@>;c8zI7Tx8pEV^G$Ae6M|Uhd1Z=wNOL
z?>%KWt!dT0YwffOEK9O3wW6?F!nv63E@Ad88<c^H+!V4<Vl3phgJi3Sc{@jwFMlQD
zMv--b?E|u8WR!$Xo)X{1%)m3gFzs~V!iY>}l%#2%=8-T3v!YiiZ%*1cWJ#595)IO+
zV?JLA6#iy)j2*r>C#s-(rw2d8eH7^2sOLn^;tN1WCmS}jnHk@-n+4+lkvI-2(vT1o
z69yX_qe$=*2E64UFF<))xHtG};C?B>P?lAZDa2<j(N<#^H#d#)YM3chLOWa5@4L|Y
zeHWO!TN+j>36+|qR>E5vc1y!<`4>b6d15lYQ~rf_vWAW9V_pmV<R+{Iej{Nz$JPQz
z&QgjpId-d7l@9QvJs3!q<WO+r$6cpX1ixJs_Px`UegBmNkV*Ugv+E@VamY(%|C}Qq
z>P6v~=+^bg0u?53E0S;u7CeJEHL(ca9Jc&9@B=3Lpw!RE85vJM{n#M4a~v6`gLKfM
zaeVN0yq9QC3=+e!8AEprx9*i!^U2oXFO~VMA7i6?Fy0^9)>`!={C9)GoJX1PUs&`+
z1k#DY+hNhBBv}Fd$*Abb!P~jpGT?u0i$S5apWyi2z@TV!vUd6DP0%i1O$^+u#DPcY
zP|}k25lVNwgwr+S162mlGRs8B*uNlD&0p(C)lfn}5Y^y>fNv(EUH^0rt2BZt)E>M>
zJBfX?w0M@o-J3{64zR_I4j&!i<#b}$<a2ZI;MWX9%T$VItaZ4@=@3*(V_bIYAdHC|
zKU()96d<Z0#}NxuCnu9V6cBRD9OwR(MDQMQ<999sinX5;tbHqDR42Jt--@v~!P@gL
z;-qB+={PPH9%Oq`(G$K8M5dUk@bilRTT7-zv*N}zs8Iih0`*_(3ibcF7V2j&@eV=`
zmwC&2wMr8{rG9x$Q<+G4i6z!awI+w>hP0&+{^tVW-|7b8>D;yi#z~W*lDSD|v4*qW
zN*L&JuYNv6)XQVi7YDY6yFQAJQxHC%FlKz6)jBLEQS2fe>w4C4rb!FrG8(4t=)7^-
zc*3!CabkdIZkEq#phhpp?1z!?3<rK5-?owydrINXYz@Z{!qmgGtv@nFP_%U)VbOT&
z$+Gb`qHw|_LE-T5f>3F$9SUl-Hzx+-P#oSCWtj^@{Mq7dLiG+MeuZY1QM}1xU;*ca
z3-b-}$^{F-%2lXbf7u{EA0~i^W*k{np1TCvkQ205kalyF`*>|j@U{d`?k>ACf)}Y%
zHu3%qbm;~Mlcx73HLc1i3Ld31*Gr?6)iH_#)7Q#I6~)wqO1e<E{5i=zdFDivi4-1z
z0UIsW<Cus~K!YM-p4ySg@}rbBF$zaLXJ?Me?95mWy{Za3APz#9aFI^z%+8XfT+)mz
z*#kTwXlJF_C}+^7=MnqtZ;RRRTOG}YWYqrms0JCe(*xTQrq4f_iY1t)?NL^z$_`=$
zsYnAVE5nGc1F=48@S*4P&m*0NF%0uZHJ<tAscQ3_3XN-sNpzmf<eZDs_-httNRh(T
z7hrJVko52%1-Ktfw-g<BJ|4_&0s<;0Z*!UlSH2%{CCo%kBogk4kx<G;e?(OU9uMkm
z2ynK&qe3P}QvVQy@nCOASZ0xGIrV&9hzHi^u0&)F+e*oSf`ajTpeOu(tP`P%hFj24
zwHDM-N+~0?a{2?LJLLdPjLT16F>YA~=T*+PHsj`bROQy7dr_L8X-gI7#>etBX@o7-
z9dXE3PF(fD`{xi$4F{s3vcGc*D8-{7{uJnprr4ECkv+T?Hc~ncwZ>NU$1?F$s*~&t
z>M$XgAY+-|DM+W<4CIq_;XmFny(MCNM^Ll+Ta!@=I>vaaCyY;Y!F4qlx~biQlI@L&
zq12c_Lb-uM>T$FhvLDyFNZ<=m4))}Hp<v;9p+aGPB3#6-(uzttfMX6@$}KJ8SRi^$
z+DB7W1=G~g>lRU;?rlm+b1q#2XHLlOQ~Yzf;onUuvBx{cMRgx^Q5oE$zT?wM*O<Sa
zYN)NTDll(PVn#?}mY7tTZJW5q!7fG6kU5mR%HgH?LYQS{2uC`{Iv__f_l$xeQ4B;|
zVz1G{s>oR>)#*?xav{-P$+Q5yMcp<F(4p2nN}cgQD|i%VSuy;b2%$E7VRHKa98(L^
z|EaE!Q>vl6`rrdW5ErlZSUpOt{v`&!H&%agzCiOFZK|dV$wIGQXopT{i)DR@&0V_5
zhup5QLRcRN!+6Nb8~I#JAfU_nP@gal3TKyz2Vq`!R58{Va-zdPNu+FoyAHOL)_W|A
zc2aa7S)0Bo0se!OBxEvH3h?hs0e0^+vy|-L@vb5Jgm>q|CQrlWcQ;_zKtnbU7MgA?
zy^MuoIE-imap*=DBSmOR_Mb)SGp!-NMVK{f$b-#2N)fv+4NFR}zMG;|TY~j%rV=#c
zGZRQH><Td@A>FqDei0;{vwECZ{Y^$96W?_wLwmlZW~^7SjK^scg0XrH7lZoP4uebn
zSYJjvlQ@=w1x4A&$qXo(9%Y)Ts2=8)rbHpQ(_N?Z+XJmImqK^2nJOu<JG3*&w@fxj
zeRdF)cy03XgtjRpRzkU1JwWaVi_S&%IEn0jCO{^w))m<g&LgJ?=2|6rln&OoLfkNq
zv*$0g+&FKSgpwRnDH*h%CRCc$Q6G09g<(7TOL6~0DH3F2B)R`ABM+tXRF}Xj?snS(
zSU^y8&b^bwy(bxgOkCIH-o!j&JhUmYiGvaMnhveTMAM3SHwcqv=JiKCNCxf-yG${0
zAw`Ky#3U07Oam|x>#d{&t`EQBUl)}@f9kt))}12Oy~<!`Vz@5ro}9<Et~xG+2J84V
zJ4DAcuU@I(Zs4RP5VsN1L+)n?iB?>bjYnJyAEdbUMv4fTI7zO3g3$-pMmhprF|4zC
zAUO5dIj^21UcJu1X5zIjub!EYpC$!{(a&f;hf73AYiwBqwMhq0rP=lO36ExW?N7EZ
zdA2v+Yl?Bdo}x%5f|7B+#<T$Aj&*>7Vp}J*KzZt|bEZ8-O#4*^G!v(FnRaTPvKR~G
zq~}Axz&3gy*(U639nJ|Hbw)Z7>}tOK;zZ|-F!xgC(S7M=B#ZYaVN5akt0@X*5=1ij
z%aX|h>m#iC3)(3S&QR-}Gxcd=>c8!lscZW=a9=t6oOD|Q?f}3tX~8PeWdL-|{Yt~!
ziBojzi}W?vmgkEA7HEB-!UrNCIz58;p6Vkwz@vFIN>GbMJjE*&-ph<=inw7$Nb}I;
zShhxUWOJ?8(SWq~?qYOu^rxfq!FEM8IKcVAWPtMzv*LpwZj{iW2$2!z%!P4IPW<2?
z-8tBfan!?*r%3i$BUnHtODx-m<DOBtg_}-BJ#$S_&!5;ltYX7xGkbyL9*!8-Dh7I}
zHF>47d4R&9Y2qu`*){t9R0nOT9D*ty85NvVEz8Jg_<UVF2HO+@iP+;L9nEo~l*}l2
z7}HZdVLHtDsWRS|DS**<4LYdQf<{V3WyMENld6^DI}sm!U4<g&Tj#E2$467-%!rDL
zeW$q|qoUI(1|_2@hu6YE3dNz;IHsiF<y0qa$vZ)|epECY{yQS$R!`Vv#4y+7uoCue
zYD09>RBKP_pHE7?UBpB$<C_@mWOB#uANN%Z5-S+ol0qJhr1egYR}OHB%Sb5hX{;DU
z%w;I5JFCbcr_?CgR6+sKB2EqFYem9*bF$pA4I3A7t>wH8-aa5w#%WGbLyn!bBC?<A
zMxNf3qs6|1#8z^6Cwqnb61H(;tUdXCf#mlSOsGr^#H*f<M_p`6JT})l9vdK#(QBwT
z(R4}-Hz2P2k0Zi#5ZC<;raBhI9mQoMOq8H?S08*Q2s#&;^CU9=fPwE#WQuU{aTYyR
z$aK&aUv^0PkB`QrS)XkkxS^0{h+B;;I`$S04&*zPEIMI}E@&Ca@l}2;P7~wRlu#@x
zUVF#-ObHpeGX<_v)xn*~4^no)e@gKrlf-iA{U=hCeqs|TsRV8_dx2~bHl2&*OC*+G
z*#NQp>+@=J=Dao}uI<vx!-z31!c`hgtkDs0aHB?>K^6=gt%4KXL}tlIPFIJd#B6q)
z`zAB_Xx=760Jp30X>nmqHteIW(o%f4f|wHey>UuPxhDk{ZhcLO{=K`Cd~Zwie<(%&
z=k5|#sbO-rK!kBYRO)<4U8EuP7aK67-kLA4OF0}UZY^_MVRX>hi!aSyn!!M-Azi`x
zD4o!Qt(iCk87J}3kwfc_Cd(mjIa$q|%OHj*Z^Ojxw7wV11xk;ucL21hfp&iredTC7
zkRp6)$PITh<Q_*QUWEo(L+*}qQ4PGi3oeWyqFCp{Z-$27`<d98s&HM~{L|?uKnCB2
zykR<dbYlh}1sR$~VAD<CpSr8S<B^jZUtNY#E~nU@$wg_)U6iBi_S?!Or6_{884wHt
zqDklD=fgC9&UZV0)?Po`e}RCK{R8^=zZ8|)Y5za^{zH7wrO#okN4i48SkDW|SkIw&
zIHP6ACs9HLJhCG{98k%K{5*6yz6-cH^t0ysNV(b{CthgwYblmw$~IrAbvvrTv7f7n
z*w3|dI2vXSYrn*XU)DspodHMdi95>R@gjp+%;>Rrkg-B%O4AAvS-hn(j%B7I;pHcZ
z^hP@QP}%Fr<M~s2>T*d~qPU!jIf<>0&~Qzg>j=c0ii*Ukp4e!owHa~9ks~l>^Q^zw
z?%%!Js2S5p?>^ixqCOpsk5(bJht?1#Y3Mx|#n|Gqrf9~Yr(aBUkvVAPghX($xwkLA
z{ZLa)2dNk9;&Mkq5MS&G*WvaDT%;O<4l1>v(b^LZW)*oM!t^UNsYz9u2(x{>b(k$K
z4tH0a?e|g~O2*k9j>p*&NJx=?C>Cgo7f_PPLjQ-UZrT!hf^GdsTQ&xFM9ja|6L#Ii
z%9Ol!QybEordoS~e<LaQTah+8UTUpyUuyl*L8NVaf6~-$Yqb2O94&V;=B4EDPWB4<
zC2Tuijp!u5KVU*-(v(;8-;cW3inKLeZ`?){y^odov2Mik2~=Wb-d&_j30imc!FPh7
zbCD^M$P6&>y@|}_DEgF&54Bn$(Mls+At5A3>!q+14oIg}6}e!=6s*E(o6|u`i?tm?
z`*4cdnZ%Q3?z9w=7dMJVN^Ul+Nyr1i*|{hgBuY~oAWC;@=qYv@?%fJvN}M~4j;*Bl
z-j-1NQmF5iSd<zQcMC)q7euAbhtv`csp<v{sdqrUDK@&^0nnxfTG!FB&!yy|ts(bI
za>(6XQ7AR=?k>16hKORF4?l~B-!E>!@Vg7cPqE>47ebdBUR?&q{&kA$Z4It}B?s5r
z9FtO`>1_rCV}NMV`S2;z@cHd-htJwBoA!cZ(t#NU$Mj@y?4d;9rDb$1S)|?Y7{#0v
z=tIGw@U-Aj&u~1PA92gzlPDYJ5kqcu7zz%Dg|wll6mMi6ZUp;yYXZMV5U638$pbLW
z?Se0~hQF{Qcv##<s%~2@6&6<c8Y?Vt?f*k;-0KAowJc?oP{urh0&xr^kg{LwJHr8<
zxW?H$N<QOl!T#_JheG&#CfF;V&@B;-nP7LAaOO3F`%5n6nU}ph_AcV;Ri}hKZ7<Um
z2cEhYdUz)2Uospz;>)d}em_WnR7|~6#g9Fr8=U;*+{DjZ__JOs<JUglEfyB^;!S#s
z?)q@$LT$AX99(o=ANdAG?B#`R!9EX1RbZ1{VFgRjN&`>!<8(=@ii1Qd6;$=m<fGz=
zQ8xHVfima{oH!4V(PLPlj08J=uorvC+?p@W*=t<5H^`ZKIr`Zb+>Zm={Q|J@>z*vs
z7xa~kh58cO+rKO>ibn~Y24BIGemd{cAfy^^1p6(gTK5a`(%?qWU-uVBpBeS6rAF{r
z@?`-BXS%h5h*s7>X9Bh8H-ZCVu^nrrk6UR3M^bN6P1r|s_uLcg7wsw-WbMb2FH)6*
z`v?aQgfc;*GH`-$mvKT;U0*Ul@e+RDYdDSIJ#-#YtyCx(Rmcarv6!$sk)*o_G(i!o
zgza*2ALM?$j#Hb|qu^c$GKNjPQY}P+2g33LzV6q-^~-4H06(Ff4j!>zJ*s*}z2p{F
zDkM_(VXU|~k~ChErKIQ=Zdn-7ETRW!8!jb~(HS%X%3X3mm`8)XKnA(Q4)3Etqx-^Q
zg+&~Q;x%qGf<yEToxt(I7vmZZwN?Vl_tf-duuA-dh~7`53X<b2K@iJU1xHT2bkEoS
zyf4^aHL7ah6FPh83GMVK(C`Q})Ay_1#Ms#K@^Zeqijz~FyjxouD;c-OP|_P~1P@XT
z1_d<=zEJ_Ad@yD=o{v60ehQS`Ut27ux}hhko5y4~zUyM3TZX^L-I#u*j4t|dFEd6_
z$u}Dpb_Yiwla)d=JfmCUaWgPU$eY1^-YRY+Tq&5icCbuW4>p1wWfz(-*z4gu0l)B5
zb&P8dgnAGE7C#GR7jb+++9T;R6)lHJh}t*nRdlf*N=aN&FZ95hkRG>aIg5}1sTdBD
zs(@llmb=fWEa22I&tFAfreXMK?ZF~al5Q3Z9CK4H;KD*&4@{cjjbOXs+-l&2xnQ?Y
z5pZ!qyl`J3?s$eU`Fd^1fXaa|+>eeRE<Q9R?nuT_g&s6>a4_+dt|sKiXl*h2v6F^H
ziJqHBZZyojx)<!Cm*Uxwm;sL1-^WB?|2cj90B7IZ-=~ko?f59t$6NIAH|gV#=;O=u
z@n3O3to?QR_*44$5A?AEX`A*o`uHe($@VgRe2*Ia4nFEZKXpv|mkAuv^&8yt4EH+2
zJ<f1%Gu+b*_cFsh%y8>7-0}>!I#V|fl9Tp``2>TGKMeQp5bzB559u4jZAEZ@p1v{M
zbZ5PQo9^`xaMM|<0&YsBVYoT)Sr7KbMUv^fuV_JO6GK2_@q{#wEGHNje<I3(oe<&5
zf?JNHoQpn?dKi`NPqf%Cd*w<86YXOXsrfW(J(zAQd~;8bgI+AUb-Lud5$wSg;bn*#
zaKPNS>umV^Ghojr8dor~kql0UFGFCVlBq+pA2Z@A?isJhr)riaXF2aZQ!d(zlQiRC
z2Zc63`h0W&qwwYcc2bal!}6KH*-tCDvZ$gR*C6dU#nbUA84!nVy30msL_7X8jtQya
zPH;orQ*t?K^c%1JE!FHdUVE$Ch9k?G-Ti+Rb6VWC&0HiPMy}aEiyHNX<Q)=EL6Y)$
z7>N??32X>s70XvZ@Nvpy$-(PQ>b0gWkzmECj6CEXhnGjlY>V)&gb__#{~&K<>g4a7
zypix6KnUAg53aP<Y`WaytUOaVd94M(m4Pl}s<NXbvN7CdJH6k6dc?J}NCee%WR*H}
zuzPq*EA=K1k7tC%X(risVNiSV+_~f(7qK$}#1$7@Jf0koEFXUp-ibjq5*$CRrI?-P
zvonOPDNlv>h8P3xE(XNuIH=(bL#G+dkz}UZ>BN!;_YF`>xQ>=Cr{EY2B(b~8E~ue6
zK1~;1<YZ^eqzv}NTLBqc$?dz1G-0aAwJi-IFUBEp+R`9O3vOwUA!w^mU2SQQ^ld`9
zR5IFU**sa>jIqB<cJlY|L8;_l!{5-RAx~MR>!+_w7g#keY!7ybbBX#UuUxqV%W(%S
zs2Uf(mvj!<A1Bi)eUILBKRjf5a1gVASa?g*k_=A!XHX@1xPfw13xgB8nNOa_s-i|d
z9&GBRRg*SA6Nk9n1zxfNxxFM>PQsi_T7AE{4v|DYB=#?_Q!bD+*(PbSV`}DwOXO{l
uZZb)oZA5M&38B9yLZ6p`dvNi4xn9D$-d&;<V6H?ykkDN~)@gkq|NjAcaVCxc

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/data_reader.doctree b/docs/0.10.3/doctrees/data_reader.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..5b7dd4507ce1728ddf5329fb2525ce327e8e71f9
GIT binary patch
literal 65282
zcmeHw4Uinibsj<D?-swLNJylP<oGD*4&d${4u=D95FrU9LGbU66iHE#DAeBU?%eGx
zc6XLDvp5`8h{e#N2x+9y)W%gwl*ndDR_G|PQ*m5TIg(||s@REQMX_YN602NxNo7a2
z<BDRH5-Cygz1Pz{({r=GcSiye^n=@-?dg8~`n}h$-(P=V%isV0kFMeW1be(@#co{4
zo8@xDDO+AU*j{!@t-96l+aGW5f3|(GJrRt!=CbFs+>+G}u0e}Z#jcfItI<A-A9quG
z->!N2u!E7N>6%Nf*{rA@DqDia!jrbOZ1@%1Ga8O>6&>fC;WUiXwts)CXxvrt{ib((
za&pP`E3IO_<kTliX4Ce~n$xf*-B!^qIgLr*wXDgyX*VWiAKqly^v!~6nPtn(H;Og8
zaqevkg?42dfUArEc5BfBtbkq4r?RE8n|{Wxo1d^Q&_sjLZqT(q*k(jv8r|CkTQPS+
zUFC*gq@WO4xh~im;%`3K3<$0Ee5+^%8PoS&yV&x9cf#{^cG&|?gKedn>3MjF&s!R1
zU3}VJZZ)GXMYD7cQ{y(9>2a?)1Y6O(<=XAw;q}CIyA^En%_WAQvbQo?+1V-rv0Hu9
zU9ut?0_q-F=SAivt{6aEWekWKJrDZI5q;$(ZRDIrPS8`^th@;e{ubG8H65yU6KHn;
z?IgM?lda0Z%2be1gj8-nv`I|VQp3ycE8*+(PNs5OFhBV&&vL!Vb6&$Ti<70PLeq7s
zR>}7!A9);9+jP9idqKdDy3V3qv)oA#jW;QXC55uvmD?Y>7GqymxwUc~5PeOst70!z
zYWTljGaE~B8sEw^F7cBD5OhfGgUt=_7szbUA@;r$>>=_50xPcNRh(M6{o(EZPyFYn
zX-@ac!7H~_P6L=tyxQBquA0aIi}e_O<U+l6+-sU7Q?@rTnB|_g+BC$w6GLnjLwG=%
z?KD=+keGanZ~L`4g9kS~(C}Ty@EwD&Ydpr{!4o92uhXxJ%`0`laE@?Xxoy63J27k5
zmA27*Q8Z_)i~!^vLU@AkkG~r-&2E6^ECG#N>?}QUEdw&cm@!C>8A6U3p#V580bWZN
z(X8GNFjxAY73h~|vqR2~7h*@TRjXNkp=Nt=_7>~S5|@4{*uGVdtyM5_&*M+>QcRSs
znq9}wWuEbI13zSqC+Hu`FXi`(DJ$$%USu-fH$Vr`gkJ>YFAYB7U3l$dz1BQHqf616
zgGMSJRZG78!N(t&r|BkV^O<lqQG*ED&!ERw28VVxUi<W#pxyDP=|0`E{4{{S5CW{V
ziD3Q$2LIyVFz>-@|8`9<Z$J6uV~?Z({0)g=)gXfQ8yNNv2ZxrnwclS8v?HfUA4&uF
zuR?HREh2dT3IqT5!Qs6guYG52@RD9c;ARp89Bh}rNYNBMP;ghbZMx=~%4l^9{pnkX
zN^x@o-rR&Y2cJOa?Ks#fq*goFl;ch2L!oRVR%gkrN$jtmGD{W1StR-FSyCDsC9`1^
zEu-Z@c422BSuLct-6-4V?Q+Yk)mE}b#aXt_TkdLkZ(#37Gt1+jS`8aahfbSj(XQG4
z3Jqws&~e%FX|roA8Os&Z7elN#Eu&(d$7aze^T_nG?ehzD)3-}BwozOGbo2}DH46*0
zf(r`*{yZ<(L}g#_<sXaL#gy_NlL>+De=5N-&~3JXG%VMw#W&OKa%m+KZf4P<7!aHB
zXf>PYtE&oAJwUAm0APiE!8S=Xs?+FE3ZR`?FVuutlejU)Z6m?1aAt*K%_*IW&#z?H
zn~p0eA3VdFv0-{fxtS@GmUIH2@-*d%@yVv?S0;UDvc5t;<;`Mge7|Ab5$7aNF^y+{
zk6h*`iMm&1EQLf~nbSR_TcubjMH=~bQq)`K5)|dF%@w}_9XQynwEhClS#){?nyaU1
z4Ta9OFNWzeQZ4DBlhd$L0gr35w}T)oy^o1XRXzwNPC{lyB8a3SNg$F_kszbBkr?m)
z1%<Y1MUdwr{pov0fm&WIsW+Gc->k{`m+rP|&awfMgb7&dPQ&wE$WoXkAd1PTVLy{D
zOd*(U><}caqnV4@3gParG%f0c$rWcS46tOMw;Be~a*Q045<HU92l|ICCJG063)t}$
zcEmBKdM6&JmF-K+TugM)mzbe(S<Hl+(+1*G(NM7QW2IoUKfyR2qg3E!2#!q>dJf&d
z`URtz4|AF2#>A^Us$COob{e&nRlij4ixa`-r;M}e94fvjl(IB?h1XJFc1SAMsW*Mt
zU0`#OMv)*U%7on^6gfh2jaGk=XbA$Wo9Y*Awk|YX7%nP)y~bkiQ}oto^%oe9V0)t|
zY?|$0=RGiKo`gV}$KM{){7|^%I9?|F<gIv_jPI@-&lva*zU67F$=eN>D*TCqSz|n(
zAK%YEcHXY63ni=R8xQb)cFJ`fS9I6$4Jjlq8+i1^{++bN&e)A+%g0V+nVlDWyDc`a
z>2_k#zueEFOM0sQGqi>^)rYm$ZC|2Y?@RQ)Tz;M1CW38^A_IrL6SiR!CJQT0k@Ws2
z#ryh3LC5)Z;KCEFV)f_IzZ9t<>s3F!>e+xy_rK6Vl1r+;iie#TuKGFrn85t^=uv;{
zR{c#H5ZDTt?Ys1~Sp9AM(dVYk<IEp#zUG=c=)fd4LedTBU=*I6cxA*d%P^4{WqXlr
z^}g68X%F>S;VUe{5{Va27-RW7n?<EoI0@T1Y^k)(j%7;T`2y{)9vVKyj5&r!lW<-X
zpfy=5O~)_PP4_}!$#U}eWh@(ORIBB%`(wNJa^5++nX53YIc)J2#}%!iRpKoM&NCQd
zI%bI$lQ`CuT)Qc>2Vv}6v|Z0P$e<dH1CyugSvmeG2OTL#M42l&wN|~6vmi28!rxqH
zIqzTa$Fi|eqe1B>17~!r;Xz%=oXu1{r;(gIJ)4ASwpp_-6dFL3RnF5hIdA@5Va9Ht
zH{YgnWT9?*HM3~dtTOkhrcZB(#Zl9z-!w=tK{6&Kfe9Z^Hdw*Rm+g`dfyzxKJc%aF
z8g?$oTL#N%!~k0bSNLWx(9H9$lZ1<&O@cyQqM@lgeU<R&KNY${BJfJ*4s?)&gV7dW
zEq0G3At727KM*Jdd@aCOfF)U6Q41jHPf!B4HU#k)>>C0l_!ubJHK=8>Y<s1aN8|#(
zL%D4Gg1qnsFsojmQ3Vg(X%N`zONe6io#v^&#OHIT5kZh?f}{M2aq5wF&vD~UV;uiI
zV9Xq&kE|XOpJO8po1PdyaO~jz4C&0QE5mTE;1heN><nD)gqw2Ju^SVNH6bao{I1xX
zd5q}9DBl)8ib2QTfBdc^GZzi~nVPvcmdD^w>nEsbmgQ5P`zAp5OF+lo*BA?p)%&i>
zxvO$c?l=h{c2&+*LMfr`$yepvl_lr&Q^57trf8qP4_&a6_8D~4{&%CRo;s+~{(pcm
zQni1fk0!ML>bKCm`fdF4sw(}98>RHWEe-91D*bQm2jSw3omBdd@%X)z{@@dL7~*(K
zwzEap0bu-UxwTcMTN#Fe=%Ty`zaTY?EEZ6Dk`X}nLM3`s21#%P5N*jR$AC#vqsq1k
zYhKwSy$PxXHO-SkKOuMQ%N$6Z-QJzH?!&R$6aB2dVz+mobt=0FO1M1O?deuA0wiIL
z&V|-!K4~dybdKmD77{d}+i}Bp(k$4fG-Z*Uyew_(q0OCa%U$f`4?NzqO3>wrD?(7n
z(99=Bk8H)#slx-;9AQRZSZLyuXnO4KxX(qP*TMqZh{%&?^y)HZ8SdQ{MwClL9x?m+
z5cc4g5?$zq!KCpebUV?wz}~)Kmp1tr_=z8S!g^yz#9@@ZNt{Llu}SmO!_Ofi#bm@4
zkqmhxo>!f-M`9WCR?#kJc44!6VwLX}Cm_#Z2ZHb}NQW^DDW2s=G~^mK`>e_0;u_0l
z!$*6^AX*}iuq`}a;_T=#HQFUOlb>$cu0`=%Ufy^lq(?e`S>y#LUXfu*6sQ!w2N!r4
z(nJw!#|<gWqoB=Drsr)ZCBp4s{&4>AB$;qEbB;J?2{VzGXA3XIM-Z)VCbUHB6n+Oj
zKd10Hv=8IA5?%B~votQ#>?^`mdIc;}41HG+&?#$Nxn5cwgEJdSc_6%v8$jRXztJ}l
zs@T-(9}*2ht{_5*`5?X(rpX@}W3v*IL(o<=hmZ6;#PzGt`JR!x)d}PM`F#E&``K%7
zp+XwSpL7|KCPwl}O^`;)$_`G19Vt!ivVlimuJ17Wca{`nYp=cw;`~zeN&KsP_ti7_
zw#r|R&`h;4#5aWC;fGCxe+XF%KeZ2!vkMz7hmJ~=8H8mrMavjV4j+Y>uhl4CDKz}S
z_$!@D>)WZqOZEQ{36EBP&^IL$?Mj;byPZ&Q_9R&=VYeg;aFz}ew7XF-RvG(N$w%B1
z?{FqGsN}|u=qJRDn2i-}9|Nvdj8esMJS%dz@9%q<m>3=4B}{Mob=}mfHK{DuC%W!T
zn83M=_91w93p09RNiA~FyKTx$yQ@W#1b#**fngkQ3GM2`8+8_+Wz^|d9@qhQgcfZ$
z2i!D|-|H-X<^c$s(AO+jgBH43&hW83F5z{}i@X4=_=WF=f+ds5low%kZ<eFu$i!3Q
z^_6jW!(E(HoH~7?H^<NJ&t&chwZ#?Vylsk@#C!2u7>JR!4V)-13X6MzjO{1J#rZvS
z4bZ#B6L@~yz%Vq5fST>{(P&{TB&5V@p(w`;C&WGjj46%!<6Vac#phL|CU%;&Ayr8h
zK6*Wt##h7HIv(kVyOgctt!SNU>kyo#3$TgarbS&44I59O_wvvu;|gAIGCKa}ltm#I
z>Q6amF-O!aoXo<SkV|flF(b%Haj@%bo*;hHPUm4~^n8&F6X-0K{gkwh&^fn@b>!BQ
zrIH2jBpFBKK(X|=FiO5hD@97x=V|Rnt3N}3V)hJOUMGwZd^&$ty}_q*BvwSH^WYPY
zAdirh4XZ3PFordZ3paTNP=%GSTcDqzg1}7KM9>gNc$1#y6e$HPZ$ugg6g=T{q~Jrd
z=(K#6UEDn>H|Vu)LW$uB2`F{`vV~wm{#l-ul~pJ|7?d$>X3#f*;g=M?I-I@*3Z&+_
znZ8CNGRyy?L>FBbNvbY1E~_q!uM&0@Z3VB^h$-0BrBIT7r5c4qqN=20jehg@@j(IS
z2<w7LVIjsc{zu1zMI`aU2-$!N9d3;a3z2F(*89C^O@n?~1HxZTEW2)N+z|sr63?~}
zv}i1*pU)>c>WhA8bf%w8`KY@9Us53J59_b!SRY1tm5UY{lz(}nl-F<b<aIm^ti1ji
zp?x^z^-p;Gp33Xnp}fj)jqb5u?DXjz=Oq;snKd9g?N9BKktz4mzI0z0$r7ocBKVQI
zEKrDx>XTX;ry3=P!r`Ol+z|Qb{8%;Sz8|(4O9+FT@RyOfYLzOSAmr`mcWagiaM>R!
zzW9!|^8GP>Uu>br$3lk}i(0X9p1F!j#H6hem1+lIsq>>W9vV(j{b4_xq!iUZN9$BY
zRdAIqtol$?b)hq?qN?}u&~IppYNWQY>y1^?m~s~-=ie%Hs7_j7R|S()wJr+gfqN=e
z>744B*wCPZV;IS~uwZ)#4)sfwn1AiI?(f7lj$SRXHylJPY+M)B_q&~|0D$RvyM!qk
ziD_>((UmUA6Ka9fm}va?s-)S6$v>4-owEk~Wle+dICqdFi}VRq$i5bOK<XBPWy{bZ
zB;3$_MWzfLPuw~pVS(-nTETz^RRnbg@GkX6ZY-!JlmQtg%J3MpK#>~qrhW#GP!;so
z9#fuEQ%+N22U?mZ6J7PSG&DXdBloNax|Ey>)}^}?{OB?!L2t^S`|o1JlyovQLRBs=
zDJ3H_=A$Q%Mp^06Lz&ebJvl8?tD{FUM_E0Q8sw`ztXc|YTZfmqGer#MGWcB$y+dUy
zBv}0qHcH?8Sjxl));B*woHd-j`2vsMOWzFs7WT?k6UQR*g_}4OwHjP=BvZB^m&)aW
z@3ySMBAoG70YTS}J8|BuwXFRjEO~5f>>j6q#BVs=pFl(Myf2|%5zg~Sg}jg65}6O|
zIcJk5PW2QkoyV)3Apq|^_b57~v?JH@TW-S`d*6kr;#0GS>V`3fxM?IROi0GrkMH8=
zgLTo1_RjQFz56SYHGVQDuQTXp(&%(Jo$gcpP^;4EUPS9uola1$E^qtL>2$^(R;SZ@
zdFWdkB_6(>hW0_@8o$;L!qej#e~-uSB_7V)3dMV9zX{4LaYhH}ol$<$IHg!j+AfM#
zwfx20F;34J7imf2w|>)e<V!OA92JqwhF#(mo8)g{3Qm9dHS%RjA;F>5qO6hlGY_(o
z%B#hntHc?P^J!#re(W{OW^)Ddvrbi?P)Z{;uSQEf!uw}4;VFFV0TBYl`nyRU@3-T;
zt8zz>S(3~iAzv0_eW>gaDQ01RNUAKHA0m$YB&r1rsoR9?1c&$W<8WOOIPv_G@e`C1
zLx5{}FB;8U0nmqA$yG+V$|(2ZOsBN(tBjJ6Pth5b&jo*-w*L*Mc6_IwT~MhVe}LAh
zYKPbnFAKF}ZX0S0Mvw$=kv17&N+MC3V>?ccQc`nL)W$rUZz*-P{KVeq;=Uv^NEhqU
z%wwn|A|kfgaA7V|)RtMpzhrWf!Eu~5yRhJL<Cvl8&H-MJh$k56H5?aj-_p$ll}P{w
z0~Cs2(zK!>nO-Ln-E=<D#$t_V?D#@<GCz%~&dK~Vw~H!Fs`%*OnI}}mM6!~XU^wzP
z{4FYbB|uh(x2#b_HA}KA2}@KM?i{&SiFoK>#?`fobY7!GUl-a5)hH}Eu81*HH85UF
z5Y%y{`Zhw-X!S0IEn&Ipx)jnfGq(rzOREymNz+VqDsKSG5zSJGO0v``RB-wNTl319
zLn)0zhjr8*C2q+^SV18pi_Cn;l}F@W6p#374yjPcr2HULWoN8u6%$~507bq|M_!CL
zD-Vdgf9YIB0==^=;sh2r6aaM$D6tq;QG8$nDhUUQ2w<TB%m^Hn*<=uZj?WFeATS$Q
zL~rRlV#KpSw^ks8GYJ~f4byuPpi6tf4gxuxP&5`J)l78Q8ND(2Kv1v^^zCa!j#}Yh
z&0VEnC)$eABv|NzpWBxpl3~2Tl0k(xcy1JuaAS&zTuNbrfz5Nz)1nV&o_mhR?|J?n
z9n2jZ&jB1m;3D}f(#imYx*5W%mu!R>Gb<jC*CPmzW}+Q+!%>G%9iO2PNAWcDxC#cH
z2zUDv@8?L!kVnSh#>GzJxMh!{CHZ5)<1h@bfbbwx)NNR3HFZ&)XC=dTgh_)&9>1>Q
zX_Y-d$CDBeEUjKnqyFKv?@#u_14{e;2wJCV-+~`>LDPrPPnQ?N8vXQM<__xG_tay&
z2VvU^J-MXk=A@phVh>pr7t|Y5#HYj)<%8{}B&(M@>*PW=?4p$4b`qL~1=d2`94e<m
zt#jh>P0TNpTK2k>cF~rW{xf!luhVMBf(!M1bASM*ZzekGYrmw?`_ZSrraEWs<%p(F
zpCMWC1mDR3KLnBq+24@}2}3<w(vM|4H49P^bST`u$Kyy9>R>E*D|8J*w?PMGZEx2r
zf#;2TwaVaJ7M%uzZ<xHsRB(}Xbm&6JWE53zyjVUWir<>@Yl$=|*DQfLvuIjJHaOBm
zNTXU<$Rf1OIF(<@i{y0iFuq$rKMThdN<Y!a-D}5EjHK41H&EdJP-~m!w;q53e~{>?
zFAAj5S!3HO7CkmU`D8s|+_hC_x4~e1@p7ZX7`84y*m|zp7G@)P7TA=HX2W}`v8J`!
zn`F<Z_h9vJJz?F86HKfgL}+#aPw$LBj>g~_Os{DMBar}6%0>`-m;$rD-FJwom^()2
z3MtYPC-*ZuA<RpVdVUr+@?_aVokc33i`wGZGRja^vc6eFNh|2AB`bR&yOMn-b1;8s
zI{QG`LQ3JO?Bfp{${v}@&tzw2veSo-WT*49_>iAHmOYd|JWXw<vX3HF+-}vm^;C9d
zHh&DSgsqRwqV=)EXgxh8dOqzqWi);AaWp-WpUobjj*n&!=MT=%KSx#5S=I3aXbmth
zVs_?Oc6$0S8XltmPowb>f?|3q%l$qm0G`fIi<Z<SH=mwC)1xy|A-;;21YQ(PGO0fd
zQcu>BjMHC=4dgDJ3}ZHsZ`?1c--qcD;f^lSHIa)-nV4#4jwe8f%+7^{r(3ujidsOx
zL>u?Q!We%S1^A;91YsFwN<kJioW<25Tw)TV$?CUdE_pze<U+MUgjpoT%)$aHkuTv&
z9uz`=*Dy^DII*VbMKUH>V@Hqz?@dT3UH#mpp;8L!5ry6e6sCbvqO-m>SAu{QfE}@=
ziaHLo$2}p&mV!l=kZu}_I${XVuL(lrmxoz88$~=3xWTJ1SWj$TzlxY8W_M{s9)ZnR
zzO*JR$96a+ViMb4l4|?g_U_T;jb5<eXYU5r8jpf)v-cudKKnTKMI2<Z_t{phoEe)#
zL8%qvek6})jk<+6)6>XRBMZ0Vu8d_5Pfkrw9y&O6IQzJd%A_7{((tl#h~u|lsKw{Z
zX_Ja(Lh!t^WtOqGwp=Ur(#hHq3`c&YuDv8teHlWg)`ge*W#-_{%$_3pPwPt&6aCN3
zJHVJl_n+XD)gAAUtz_*EtCN@M;u1QCDe;69w-OMKLp%8$xQ4li`;ccwSBUWNIL8R5
zW7>`w3=wJTkHI^?k|1+kc0vsGf?lrhZQUD2ATYW=ml(D);$wz!f|aH0>2*R`1XQqY
zUG~Ijj|0P3)`XdO4p;T72-8Xdr$0eMH~Yo(>lk(a79<AfF`~cFL|`D|3IYX&2G5wF
zNYA?CTKna0qgNJFQSgf3<AxIIkexzgvj7vxON5{?LHuwDDCjg4DK8UDrCXV<Mp4&S
zz{pZdtr-%zjo!5(bBWQ_1`U9<`Bs8Zbj}^X<nh;uj{4$78l8Eu$OpWQT`eW5gI8m;
z6x{a5GII%*8OGHmPqd+{>v7%ae9K9sx04+=M|RvC*>Q6+6*S5nx`pm=NmzTK#S>R`
z%}k$TlV}$+@|zxzcS+I~)q!Kx4zx>a9pj0_55V^=+jNW8(6oF<qNBcOnMP+?-WjLm
z7{L1T6nMMS2jvpIUIE6&=l5vF=imddC7idNmPdy_Z1l^JW4Ls5nY`$@_biTSN`BX6
zDHS&2d(t59MDT~Ip9tT2sO;Cx24Bi1&BACKY8ucj+{n6nTX#reNa@uQlfFw$dW}}u
zQ;ClHT2>mJm-WqDF`yUHVpHq$g`P9)>)N0*Yns~u${y=;jUzES$XhA1>`v~|^Zyiy
zLrM1u3tjMB$9rFfuE@h$Lz-VZ{2>&SQ4FS3T`vn*)Z(yy{4~>UXEGlsL2B--z7j)a
zNXdl^HzpebY-3_DUQC(#z%dvfC8ioK2IIp#e$N<;FTljy`9c?|9E)o)Ipkt(SGU9s
z^zv2??CFy@%wN&BwP<1fi3EiN-}boTBA!M-Z*pu(SnE3en@TYV+5gPdm0Xv5cV5et
z)P?6OX%b|(IF?`RM~<jCmY2{vHI7Bd6n)$5BaTIvxx>b>=)KHc)Q=PfYw0;0B%ssF
z!-NQF5upvSuoVg%5qHUx{vRGGG@ZFyU4l7Qdb=Di_JljMEWIrE=T*<ua#z1e>oZ#Y
zuk<GtfYN#6ggJ?;Tm6xGgZ1&}bbb7{PkOMB;=&<ZmQ_YRlVzU|mGihNP6_|g@W6Vy
zG_1ogfiRIpM6vm;23hXND#14yQ=N16$>6#w*iW^H*P=!7K!kMQIUc|P-5vK9>fyx{
zHXDb9ip^pS6G;Hj>?zzf(&=yRIGdQx+ocf@{NEJ1)~LyUH_=hom68P;Xmr-(pGDlu
zYm4(3#x4V3)^laHY#)G!R;|p9B1kDgfr?Rs^xsq9*M(%<`%0`U&lVpfjaKq7NaF=r
z1smEkmr4Jqd=Sh^UCcFdU=isT<rpk*X&F}$G^q+lDAK@txWbVW6NUUyDHqi{2t(){
z*7Y@Xs&FFu8?C;15X37Ce26gcQ+TzT!<tYQpxte12$FWRkwo}861f_3!tD_GrA4F~
zq!A%U;tru}kTOZ+9FLGQY>yFUxHH%f6xf60bi6>AIkpa%$%>l~K{mLSTiu3Cs0e=u
z5ku$@CgsRVUVUeTkHPwhu)tl6Rv#Y<3zrBBkE{b0-b2cC7`hEqkhut^_Zs|)*l9!>
z2kloP009gY7F}TFoi;>{H-wD}c}J1Qne)_=Bvgq|wt<62_~r3NtJR_K`(eWG;yU2>
zK8Z}Kq=CCHJs??r5-Ndg5JhQ{YC;=6Rt8=W6eG@L637fr%D0B@R`j@UJ$j08{v072
zMHz>}`9}!n7l*}p=bfc`I}Y<z1OJe~{7`7(U<n)BV}>#3%h$s$e|E#HCcl(|m4U4$
zpP^M5&T8^09>1s6<OEwyq|(ecB!pf(_$+V{D%G}kQ5}}!7Gh!rGB@U3)NWSDqqsI?
zGCY#>SZq{_W~&D0Al0N1Ns)Ykix@V3b%VH#R&H$W*l}YlE3GSPTg21xv9NN(n2`MR
zi0sMoX-q^?AM}+A0preET!c!(?l_gILFi4zL0|xGiP74Oh3PP&YRy=ZbJ1lD@fZ{P
zvzdz_Q=Yks$h9I;$s{(oekqNAhO-%bu^%o{HiOTib*jxkaFi~z`mh=35@%SOf!@p9
z%eu`#9>{Z#h&z&ECW1ZEDiHE`cZVY%ySrEfq$S|EQa+JNj>rPVn{top-B2xe_4~9w
zqt)-xpMh)!-&Jq0&ETKvHiPQjBFUALtVs-!fB@X`+)r>*91rv$DgWfXB&a*wf_Olz
zf=CNNn6^BpAUud()M6N;@P!B0Z_L=ic0GFqqOTj#5v@CS5uO>FtX$6#^(=ym`E+NZ
zv%c&H1OeL*wlFfIE`#tvKTs-~i$XIy29e&rCMeT_c#=re<wB=p@-LCXB*_*S7)FJW
zuZJqkuWXnKb04pgzMuoEF!vDVhf`tR!Q=N*VS@j72Q(EAC8I>39-nhiJe-sdvfaUk
zm!Sh8l|$;IRC5^?yOkW$v+VOoPRMx`#AW8*k)!heHC#uB5OBWnJkw~^IW3kdW=$Q;
zaQO_B(r-lGOuElxu_=lpg_*qLdA<&Ov6&~xD67_+*#FdV)z{hm>TanYvso!=&qAY+
zMp?sc?(ge|zSQP^KU$}5?t<2IChlW%*LiW+&0X(h?(-YQ(LoyC2Q6oJsUM7|m$Q4G
z$M4C}pJg6Si5wv19d>rwwL{m0%%?sX?d?{%V~YH^+QqnXISrFnk5q2E+E}7S>QStK
zdE(mMD+_3yA3vQ&7sK)6%l%M?;>VAnbt*p!O1V7v@jq-BKmO-5ybsEcU+o9u>HPQ=
z9=|6){-xB9ak*l|LR2>59aJzvF$bQEjgMXIRM2AeMT(vIISP-n{MUq?f1>8BOM|~m
zqsrl=!C&-4n@Spd9j#NPfuPgNLmK>-4U-0M$gFlA4Xkh9gieOkw{PI_dr5;ce~ddc
z?|>-~wN=H{m&PJ=W^$gh5^UoF5iU$7Pt|ezo-RGIN$CNz-bK1CPo2Z5+!@k?aSVqt
zEo-N%3>;xwgagsHsia-p4uR`~0FZ*Ee~}~=3VnVxo8|}8eu^ye-4#vAR|-X>KB!0g
z`CeMzcWo3Nvkc31q0YFbP4y?Jd>l%`mDD`5T-!`4I#D6lNZ>{zC>e~xKhzTS!YfXz
zR^~2n*g%B}pNeT<IM1QW5Gb@^87pWkyADoB^bW&eoVri~#$orJ7=K)J!KE!|jRB-g
ze&Wv1p9*x2txq0EvbY!Hq@3z0nyH4ScT?Rk(!lsWMM@x|N^X=x0vKs!W$;P#iwMQ$
zOQ8Ub;h>^9#dV<Z`x@gs1)7Foj5nxcNYV2AFbyJ)pc*lMD$7R!-RN{o($g5;j_GyM
zqI;Fj!2=U2IxlmT&J%LzN~d#u*Plw;eTLih^Zo2WYS+I7ty6b>u^(L?yZ-;gt{*`X
zDDyVbf5HG3zB)*W;g|(p?t`6e=3RsI*s9&dB)=!L`5zC1Af&~1)pNDnRg2bVv|6G+
z0~y>G)EjJY|KC7L6k!p(YyFJh3k$-p7r*LnJ+0sh7r}b=3Y<QzFq9UThdQ=$UUHeX
ziU*MioDF2pB)ZX!unFt3jQygq*{YsquTBCM5p%a<kv}ARwOn;=u~%a0%wgC~{LF@E
zO)3~_d-W{c<VeQYm_~(ySJ>!%(m`ma7bu9dHL8c@7?BeOu`Ecss-QYQqBO(6o_)b<
z2!SG>YMT}cca09RUMghl|0b|Ij5k0oPUsD|?%It?1Nmj9E}akuKAn7)@HCt^;1wRf
z*Xbnq_PTllJOnv-R&LRD5t5GsMy_T?vH5~*`7vCJ6$eS6mRE9Z)}HCoiLnj$68wbB
zR`DAP$KOe##NjlRFZV-_N>lllXq~F52-?&|Y9HPMop*=z9_YQy?cFd5@Vzv=4{ELa
zZa)}Lw^sfQkKa=Qd_Hci6g*0%N)8XY$mj34ufUkV6<Serk~jyZRO21QczG{QwZ{GM
z@F9^GCJuHp2tbsNL0zjNd=TV_pcWI#|96GYLg(1sJ5nrL!*T2mbk%bQQ5^gIP8=&}
z>GI&%TQ`hj-<pQ^K{@tVKNwHv*cl$bC&zv%m17Svv#!z_H8l}xAqN#2hx)hhb#^+e
z2jBi!%thzkC(@{BIPQICKeVK{_XJv}?ze)jE)VWK0Pc+-3DmJWCnSE%5U?jCb9GYh
zdhX}Lb(eGhjq2P_TZp{wAWVlz|4}V#^#xjo(dzT`XCMo}bLtJY035{RV-|q>?t|?%
zwA-fNE+J6B1rlV%WaKPRl|(uWiU8p#QSSOx{YB^GAmv9)sjUD^JAe;yWyC*Dbf}+z
zIvm9b3O<UzCA9wZnz34%px-xA<{FV<w=?~rYw@aFM*!I+RqF(i76(ov2SO@J`;mQP
zmcyE7_?=Alu>P9}2yc{4FHchRJ}NvVOdL_V)~^#LMY`4+J671La-XBs&kwRl>im6}
zF!4EFs;;ZbDO<m$hFG1l_4mSfan4MN<AxC9QUy>1nbLi#A%zRxz;~Ch78dD3OsVK*
z)zu4#Ii<>Vu&=C$-pHJS(&0q}kWp?bj3p>9&Jk(|OmA4La!)>XdBMkoK{fGCtqWW+
znXpbBf-JtSmOD+3ys^t#Nz2~rJFI2|E}v$<nHZ=mB}!8tLC5kXKNw|1V+Vu2nSzu4
z<jo9m*?(eyyUs10%Q}ydo+QLP9g}WK`~=S;uvv;TQRI<RPAPF4bsWnrgnVKPI&c7i
z-}nrFFD05g2pz@a11Qh~4u-9gx*&;%^tu|A+zKgJbVz+2IM8aOcM*n(uMW44ppvvR
zq9Bb{jHzYo&H;98NiEmnC8m})kl!<H*3l?I=QdbI>M5=;R7OZYBM)-><877U`-V<P
zl+(L04M7nMJkvKOhU!W?)tjlcfRAUoFMYkDF@jDlQf8^I7%KUxMVAxW7Cwpk=Q-pD
zn!^F)V#VjMomPuTD(W?eo~6Ng3&vBca7$-Olwj{mC)H>?p2f+5W|3TpG-pJTj5;%U
zJjeWKLUD;$`@QSwc_P*e)#)qF{q&y1Qt6aCg!WrZbl9B>LkcD+m<!X^J_%xfYd@P<
z`(a!qa#sjlC2!v_v&$u(zmBSbT_w*G=7)2YJjdhrG`sw(b#;|!1+g~V@o`1Mu8u7%
zR$oq|lHtrMpX`TLlv(8?Xq{?S5p<(7WFKw}ov(&<W9YriJ-lJu`PDSM4{8+sN<SD+
zH;Vo)kKdC!-yb)M#`YxgWhm`%oNc6`2V+epQ0h|M9w_yL*AxbwTmB+#)rRAiZ}+oy
zid(*h)~Vbg*75S-mUnL$x7@Ug_VP9EWjCOcA@{O9Jbq7Zd8P}ugt~dJyDj@?A8xsd
zSzb#JbY97)t=VwAa%Vp)r+DS{Xr0O{VihkBUMYfCB1i&dD(4z|(vBV#@4hjlEQIex
z2ZQce^lTOHV!FTi5s{{k8Wgf_Pgr0^3f?X))KXWAv^EIOqCW!}@z1I^*oa>NLSjbz
zSMFXxSU3B`v#9M~Q^jv!0YOm^Ac5^46o!o|LR=n?Lhr+?wb>de4JG_5Rm!_xUcI!i
zAg3(L;J|XCm+9mBMAVxaI4orZ>kDibbUXFaC?kTKkQiHJM||H#f*hTOH+USZWkan@
zn$_{fH0()|*_%Xc1UIXj%ZaXak>0_NLGbWNZg%)ZQUn{Up_3HcL_FNh+fk*1qa=7t
zWtfAbd_6okHaBdu{UoDXUzvdqj-Q}~9`4}y4|x2Zo9!3Z_26hOdxZ+>dag7bzfd>b
z3xy@id3BQPul$K9=3*ZIH)-@U+{XW}`=KJW@&5u^r*8a$qI6d6<4CD<+^|PVy_dO*
z8^*WaPQ&}4N6J6z2jl5S%0J=pd-Cm1$Cc#dc7b!{Q*^Mje7kOuu3W*jW%So`OY{f6
z5Y*Q?J3w}Cq$Vd~+g@`xbgubP+UgC*H9zcU4Heh?Ia;T3jabjigKJ*U)n%ob<|F~-
zr0yE&%r`5YSvHcoTzAEpHPJ4L^VkEj-u1%5Y1eF4?u9lA1(KA~P}fvC;fQJ*DMCT)
zA=H9{yLHW3x0a(2Qfv&VW{s$4QMW96XA_<2yLboviXdS9O25%Y(PyAPPk~t{lEg4v
zSv#iyV{QLqnznyt5>6++K-@=EtZSRKA+A_gD52}ipMaXKVXn*d)_hI~6R5<^45Fl_
zNkK$h)mBC~EG*1h{<7nqJA>us@xq#fG$7n$_#Yirkcol{r`968W?b?cmBJBU5i9FW
zQNVnCqKPCE@~wrSKFXe63wOJQ;EKG`M(6^zj3pvBCba0-@wT-gE+U{{tv!J-9#hMl
zc61n!n4d~?))z4o1We5Gj`fI)<&*V>v#};PPpu1S#+GrNI_!z1opE-Ml4-l-kO&|a
zOwX<fM|11SZ4qd}I(OU?XSjBj<wnHm5^=k<=MjjEz4n^0H`a$ViMXVn)+zJsz6Hn%
z?Jv?nSndU2)5v@Nb0o59Ck1K{)Z!ZFtQCq_LtVs0?A!G^E=dsLuVL0HMh4+B=SA@c
z2wqW(T<8EYlMf+pbc6Njyb$Li@CFJb)nRideKOum(q%c^Yk_v}0$nv@m#Npq6>-J2
z+Q}C-8op@BgN+{xtMJbgG^OhuN7jHY*uoAGItRmbG=C=fUrT`3m++@K#qFxyY%(wD
zq^RGS{Ob*;Y=IOCW!##Knh@d(4k2`tH^`&W!p$FrWy@Zw;CGaPx9FbZl36QwxF)&f
zWu^`u%N{y5n?0I8eE9IOgGXkwvzcR4*{Nd(v(xz_GY5|xK6LPC_F(4l%(3jT>Fi8?
zc6Mg==&_?&l<}LH$xclj$sW!hnVz1RJ#-Mg%%b7p?9|btXnFL=(W#l4L$hd<IgCGt
z4$YwL(b<`qBgZh}w3H}U^c<8tVq*CBysn)|AmtwBpVOB&CTZ>t4d1MJk@BZ2ilnJo
z7f^eV5`gimN7rE^f;M)qN~C=4P4*R0aj^O~aNQpz$Xe&R0TrY_O?1{7L5N_Iad-p)
zD@ZqULUh_xW0UC8sOM}3xNY`t*EEx~2%jXP``e%XNk^)gICa6SHxX@#D++5CT?3@<
ze$ePA${V<)^BXY)cWVU<@7%MFr^A~Po%Ka81Od~_rsFZN@g)Vi{*e6hI+AtC`_ZAV
zfQ<HWS|d7pu}VccMJDN16>UiqP`Q?>@kH!LDN8RisC4O==N0O_n1fvl`Lez`L-{JC
zh8OxO{>6sbJm*rTKCrLiL1K&Hd=;m8{9ZQCGq=IMvFJK=KDtY_h<*13a$VwX^t>QC
zQkzn!cO$NpjHsLn68BJq#}o%eY|{DW#i;B3GS`?U#uLt4<t59Lk5yr(kkPJUYN98m
zbmm`7<ACAp#-)DvK-rBSLF-hzvET`PE9k@9qRWh7y)Ak#bHAb6jc;RfEM04;$hgC$
zhPNSvKwN6b#LRrj{|J8VZb2sNW;FlcCN=84;DX#^g5zU3nK!AyVncYV$GA>JSdazv
zp^^9y$#V|Y#c8=EB)^>wZfq32CMxY+D4-Bwt%Z|J$@AJTP)z%#V0Wp7GKmep5VoHW
zcFHG|!_}S-wud!xymoMX*(tSryXNH~%c$~VxgBhMlCM*V5-;reU}VX{&4eZ_xp<$F
zNO07K?u0Kp#4uE|{2ab!!mlm2hHtxkr&K7KrE~NvhT8(T+?954!=mH(D9dNXetc+C
zu*<_`Q&hD40xYQYHlFN8LWkW%NJpL2GY?(9Q9MC>3qL7PZOB3i<x@P1e%=+npdRdm
zr51`qp=O=8YVC)v4Kfw8roL_ouD34Oz!e|yWTP#?ma<iBEup{N%ck3aZ2~PoCUra+
zL2_NmqDi%12zK)&as>;uDXAcQI~ZyCi@9Sc>yFQ(`i}*!%2+`4qB5)%z%zkb^4q~4
zr{&`+x>zq;xR-WtYvPwg7uDY+hTSdtjbM;(kLo`pUJmxs96TVZ0u<FSr*^QbW;T{u
z<`M`B=i_#8t<`7;uM=@@g|dY*NwB1pY{v9foSGLgO<)9vY8b>9?F;S7)?hc8!s(nH
zJ_@e2K~%fSt$MSd2oH$m2jCLRZJ0G$x;^{^*ll>U{L!PPXSK>s;X<8AYOi&n>3BHE
z$KGTrDfxx-wr2|x-BUp6ezRDkiG)yYlMDd{+KI_{IP$Z;k4|@m%?hMGdhN6AU>|+L
zAcza1nw3}^>aC0=-{G3e>MKa}dg3ZjPGbp#$Ti#A4_@=9-`f)GZdy&~0*ffW*}zpm
z7-lCuDI(0NK<p7172j`q$0sM3mzVR+6;%3Z<Q;cuvTU87L`!e79o$53FerGV;9EGT
zfcM(Lc0A9$`QTw-cDK7&N(@6!qG3kmFuvn}(QV6L<Y6j)y@nx1e6t8HD*Ki8L)(K}
zL6da^tA*^Tz%QU;5h&zRu-99`Iq5>70y{~KY$ferbB*$}f}I|MEc^nOs)IBNUdP|X
z*8*Lv7ozr76z~EIVc`Y80n3a+ynU|K#1Ok7lziI<{)HU41nO~0c4HAVAO*t>Br3dC
zQE#``su!&?cy$G1(G3ge?WPi9zRne_I!b#M%yQYaSX8_aTxT`Tx3MV&+l7b#PlCMc
zMj1D*ftY;LU9uo@Kn&MoAdm|@SwsqmVe{G-A;h$&Fkxbi@ff`=sxMoKEz10S8$A@C
zCn|SUW~={@m{;r*w0+S&kqcGFcJ(<F!wn{4UL{-}K|eysaABzMx*2?<_uAFJa~;~B
z6!-3}P$P98O)m7A=A1<_2A7*c7#y_{snz_P)3Mvt1Dny&t!4=nOPRmXE2b>D>b0vk
zZ$YEClqy!~oN7Z<n&a#KawL;;wwHrLtW;@Ne~(&Exwth)49YV#7eN3yh+@m7E+mlr
zs%YA--iYg9gIi3@1)>L4u<Y|z4t($A!n=ps)o)M>^5wa>)>zzZ9R4N%7x-*f|AsDK
zl2;bV!P?ccRL13YId-R#i`5Sx$u!t4n}ziks_!K)`|IRWo)l51=>v(deFSfiKS^J;
za%fjyqNNx52!XBi5e?{8FhV3FZcx0~2GP90G&9e{G0#gr&+9eM3o_4$o@cDhGiK&_
z-t#=od7i~QLyflp;5>sd->QsJ=d+dR>ZZLoH7!=J#h+>k=bP$v^yzt!Vs$fpdKN@h
z-9n#oppxoV`ZS8gt!|@FU!zak=@VT<T^*rMbiGtHL!am_is}yfM0KUAJLwapW>k04
zCyJ=4?xs(q?X`kkaS6oiv#Vqa^9;#4@r1ZTwiA3Be<Ip}dm*vvMW?2O8aKT$@ldrM
z(Rv(_qw-5PX#GQHaD7rzZc6qQ{&G!_!8TZOTC`QQgB|c?&~2KKAy9?3-4j0lIE2Or
z+mAtzb4|Dc#E6F-SPZCkL+$Yn^_XSW4ygs!oFx)h8C-SiKv}~;?RnBKTgCkU2P1r<
AegFUf

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/data_readers.doctree b/docs/0.10.3/doctrees/data_readers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..5820616737250c195962c3d86acd3e8e6d74ac26
GIT binary patch
literal 32150
zcmeHQe~cW}eYdgie7CmGzc7%1VOYREJLkQFh5(11*4SW-;cRRJ2KU&T-JQLe@$SxM
zX7+psGIdBuu$cVOvb2TrOBAJQQ`G*|3Z-e%6s2maCKOebq9|31R7Fu$RaKj+swnN}
z``)~HZ|8RBc6QI^M~M`3JM-T6`+eW<_kDl8H}9Prc<!0AE7<>n4PM=}YV$e0RH`{8
z!)pdZC8yY^8a2Q9Y;)%qn`fJ&!LX~J@tlTRG@8K*v?!WZrQ{m5<}_Z8P<!91c)1Y3
zps%~LhU{(*1e<a>Enm`oJ?|QN$#A{NrnzRi8Dw<dcdbIh2Vz3B$|`vP8muW+bkD;>
z{5??9tNgE_Qll<^6!hY0*C_Kg_`@nSgLQ;scZj3e2-f)eEcIxbnP7Frsu|70D}%wh
z4%+>uxhfdWM}x($K{3XA#~<)O<oIc?X6S|S;*I&b>)1xo_r{ML#}Mj{H+}$^j=E0S
zsu=D#pm^iF_qaODoa_0`M!_5o)_CY{IkkwX=72d!JQ&5x0pIc~hVm*{N8q(%oLP)l
zXtw%<F;8rby?v_5qy&JwP0jp_d9At1%ubotOf?F+xe;tNH%~XsOY#59@c%3D|4&ah
z8|KyKPBh=no152}*BoBWC>;iS^jTN0n<_!CoG=Y-hNzm+m~b@9_l!zeJ7ZNUnpFZr
zt@48An?_A@8h*XuYfjD3oH9Mq%1))?oUv-Ntswk`y5Z$A4|w#3+7a(GE<VljG(-0m
z#x%R(`C1+N0F-FuI*nPAwPrkW3M7~u<I$)&0VV-XGvZ138zbGTG6vk-z?cqcmJO%_
zR9mP!^mUMrlrtVM36q2g!D;5*D!61m-$mHL+lgRrU%ZnP^b2SaI}Y-h-rdko^)mEh
z;n0^;=2FTR0(zWDM&e|;-ORE{M7qHy6`M@!E0%A#dL>_|IK|Vdirr>a>yGO)m4|g<
zc0|)XtyIsjS+Ey><w);FvkNf2d1{a=dUM&GLM!`#5HXIa@?4Uk2!`jYl}WFzlkp#_
zy9O-d9R3_AJLC_}2SXLTHrvo=@occZ;G3{<!H8+inic%t&%+mxZ6|x<hb$UaShOcn
zylpgby+)n5Vw5x*uf~)`gSqDZ0yAidR&rop1CnRDS5zUs5rwwlU~QpMsTh8~V!@6}
z`yeg%Fuln`##QBYpzS~YARoY}<7#?sK`R**tBPiPT%ib~v74`vC&1{I?kETN8Yq1|
z{Qx(j+p9?eCrQ1GM!&^jlTyQzn6E^FT6@p&BU2i;yIdFLK;8@o($YrK{3hUjGd<0l
z(Cv@=qIr1Voa-==#3_C|q*!So>3tiB-$_sJW_0^OU-Yg!s=Hrk7=Bxle;Sh9+DKCU
zQ=tD@daAde+duV1^@f8KHgGRa^Eb}x_d~)LwUe~JZ)*06l`B@HC;w8A|6X6@4^w>A
zj^p-LqKHpXrBOsRf3Mk>_eA(s40#KB_C@=~qk63b_dy=xE|-P8L~k@R?J+ro#ckzC
zSToJe^)!;pFp^#Uj^y@z+5^Y#MS!Ox>T|4`?`giH29xc5M8TOeGBJe<CVPj)K~3}p
zLbCNB@l&(!?1`<HqvyV!*xET{2?n`qYX&QKG3Wez=$y$vi1;Pap5W0#{ti#mE1m<H
zc%D@t=j>=+-6&dRtEg8h3mW~a%87+BVIl{|UNkAZY0U<TPPGcXjlBEJA^+WT&tFJH
zQY1w#61^vpd`jU`Bl3)H*>$Qd5nYa$Ad+4R-&hu`g|Q#P1e&iR;0u4o1HLiMsZ;9c
z?R`8e;s`f8sb$BqXQN>7gFqeelA=i4Swch2FPl%9Upa4nH3}2W^R02=l?qd(>iy!r
zQpuw6GbN*7DoiR{^sA`Xw1S~k9F!MIT7zYjIvJ8kxB7+?4cGo6SDjz!Np&=3l#1$f
zpAMM5U-u@*$B`D~&lm*{VPy^ziGGJ^0{Pyosy1_mi|jn_c@@%|6K=y$Rp$dh9r2Q>
z&e!@@ovgxCsX9mQFi>`&`~d;DS9C2tkAwov>8|B8yq21T0pn9EF*Bvl=~hK2OBc>R
zS!CGW9bhG4@3sdf(n~S5GSejI_Sa**mn=;%e5^Wg9Z%7dSrADs=&E^}@pN`dlzNCn
zY=<Jz8-#@wiPtXiAXpO`P2sMi-w~bmTf`B~{%$J9pf+ZIJL<tQ`(0p?)U7`y%N^D<
zkP0))LuD+oN}hqBg{&0nTa?n}wEf&Xh5iy2s<6OHTIi9nYFgE(IxezA0tr}imageM
zfvoGknbVGhid#2aU$<(aTn5luRbOC!IRon_!E*yh&NkFttz;FcibkO!DiU0kk#T<1
zhatuM4j1#=k<hv+feLLKQ^egO=38fkSGH;>YO*p+o`kY@3iZt~CbIBP;ic)t&Ka(d
z(bTp7f#~8X#OHbgDXj@Jn(w9>C~A=Q-=oJ;Nrqs^L??!9IV$46nQ*`}+{IGybvSw{
ziB%s0=+9$hE7ol|f*8%_5QT)shW>sG#?m&9ureFBa#F$y@S_by-Pxy`S{d|$ut>s0
z$$H72C}`7mYxhwx8&g%+Jgj`wX2(z)cQs>Puh!vcX5s-}s78_5v9G#>s}XT~SNDLG
zL8s}3F<wmwl_dp5UYk3SI}u#*?ztBu>fSx~(xiq5WB5Z7!X&vp27PHs5<QJVcQX1c
z=>Ifpp9~k}F8lI`lEoFTyU8%;A*d>H(snY8a-yQ?SVhA_kVRd}WNi_MWnH7_xFs*k
z^;$~v4noR}!qN0Nh{pm8SUW~M4l%WG+Gc1p`#?0rG^X)pFz1(+fr+zNF2YKUQOXyc
zN~2oyz{&mLUj>6)nrNW0G>V)TttwIQhEc+&j%igfdooma)n-m*IV|l);<D$}veWSy
z6I@ihG%b&baV+0J<*d0N&>`VdG2Kw6`PKwBPXt$<g4PKs2rYyp@aME7n@#po3`g>$
zB#%W@bvxNVhxQLGgPxxEm@UrNT;~kw=rOk9;aIN5Ua;5;l@DRCYuOo%wZy6?#e6#I
zBEF77NEz1rzVKx(bDUR7XaNBB-b7Y{!p8#dNre;!4&j7R)*BUHqZlHL(IRURe8?yx
zT^~!sEU6AD`$4i##&k!~&w-gNgb;-cP)AZeiHzyqGqL_l>mFfbA;T4&<SS7Go!cx)
zJ9I>){l3MtzuY_Rw=>#%RKF;;4*CMqh6CNX?_1IH2_}VPX)Wcx|IlRnC@_}~V4Dbb
zC6H_3&sxH-OlBA6EPsJI$qv2YJ3D6Bgrz?*Ieor~qqQB)Ro<%RgkW16>^U@b;`1}I
zUdpyfge^%v+USH<fP*V(R;^^r@8o6dQ6<^j(d7t)B6Zz960!Z~q-2`?XQ^~eWDAq%
z`7I_XGa(SZp)2ObW2C<&iV!1>DpMYjXIxBT=oESKcbG^NcK#;G4pn72TbV)lQL2HG
zGx|F|z=>c>8<mjI+rJL`tC4hflVA^ezQZstJqdouDU_+l)e4{5sA-(l|4lrJv3g@1
zgkbdMRz?$e$ppsY|0Qrr>X1ADV)1)?029FoV{tT}B;ZAF!d@z#?ijllJ^zd0OQwsg
z%Ob|^QMl6E^j2o~?R@}a(om<yrbWPnz_zpsjFBxF%OtjaRa%K<(Sv!(UESL^i8M&l
z3vwWA=_UPn^t_tU*{!5IYml8sCBdGdasrB#V$qByDYt)}dxrZelthzfVV!%l$3;o4
zs7$J{F*Z$lbCfAHb+Oq`eWdLByIz!5!zDi|Y$lXghiJdY0RkMRs`7z!A0?8EW*1@t
zN@h3}S@Tg3R%G1=TB3;e<W1l+VeY2RN>sKjv}S1UAcgI{7g`B+MpRm<e3PQms<G`d
zBp9ra(jrwxFQP<1?w;zr6pOH8K~}>yFe>n3%OiV;Lak2S)ED8}M27Xq<5zxhD^c4$
z`T74J+=E#oHo@J;IEWX5JFPDT7sH+{d{kTJq@}W5uHf}ZUDMQ1_A836DtK_)jF?=b
zeb$%H5n;TPbW4vg<!G5Rcrw*c$$dY89^Dq04|QTmzXj&!Vq_~}W7h@dmt!!J%@_@x
zurfcW7MSgg6an#<>D|`hRt|LztWS<&qSF+RCCaE!7L}Qos7#`KW_wPJ%4p>ZcI6v2
z6zT{juVGSZ)b<5!(=HgO#Wl#FQEh{nI~2DYMZbaC9oE3Y{UK$ift6JlVFF8Z8G4mA
zgrKHcbZWG&mC>{sU;z-7_t+8|EnCsrziWldk~$W#7HFA2r`;th=abqDHb($1^0rd|
z#|w<ptn}*Dv3J72i<>4U&hlJa&8;52u$&W46T7pz6i{fD7~^4$Vr5<SlSCz6wGkIy
z$+>KQo0J*xNh+NdncaQp`6k!xm;x$0Lf^Uws&R1?L&hG#$7fJfsCyM!)m~GUcLw(?
zCaJK&iyvlnq7}n;VpB<RF{7#M5CoHZJe=>Cv@zR-7uasktQUJp_Diyf`RE_VC|TN3
z5$$T)AaVuu!yqyFk6^4nVC|FPQi}XnOSEgB%n$}{UOJ~iB60eo*jN<<REm~dP8$nU
zv=<&A^}-VKJY6j;*{fFbh>NDzk!2=8ih21#gXIH6x>A`@6nNQId)CKrB&!g`P()R?
zs(C-!uVn3$;gV`f#aX<x+YF<Le5g1lkd8$$$AZS5QdC13S=dx;AEQ7Asah1@(EeA1
zE<6m$piegJkj+uynbvjKR_0T@1!5ENUJX;GbD2fkn1AiVN2CaAzP{|FNpna%#IFzo
zOkj+UvLy?OWV<kAicIIUn#k=Yz0~Z_q*6~|5s#tgj$YNSvx#eO94Yn^<q>sW1Va@6
zQ9P-XdemnLwH~UkB-MKMJ$UTM0fH=QJ<$VM>p8|bcr+CUsn&B})PvP}9%@O2ze8xd
zDfAFU7pl-huzM}^2$p^H2O>p1!$tjQB)BwHkB1eJw}|?-8KG7ERy}G&SXlMw5vFvt
zETXEX8Y;Q13VL)~^_cF&l76cmUy6~fc=WET9zhI7vS+2C6V{GZk2p!4&7ZpOH{Z&k
zSkgHvgT9k{m!;~V<HJCzdMs1*gOt$2NAW(scKOJaLdsp&C|C%yXnPyj*bO^{p?s`s
zbfKqDDv1zcgb3-&BX5w_YxXx%DZhvZboBfkJ_%x)Dit;On=bR&Wz(IWlkjxOYqU=D
zaUCILc5guUx-Fc1@B)<1Eco4zjMh;}<vX$Ir}(dnTvGYV7$r-4L84ua&yz|j_zKeg
z6V^T%F6FInF43-i)<77zNlJFOgyHqrSQVp%U60{*-3wS!S(NEsyh6@Luxj(~acM<g
zmjugJwRtawBUwu+1|+Jw)qVr*|CO~*hTE!}Vb!LyI=7z)<eNptsS+3rQLI3*hnhYs
z&l1vSN?8-q=e6On4V21?D5vF_%&c|}u&`qX{YR<9CG&-n=<A~%EQvN-GOO<q=5CVc
zqx+8C|G=FmE>Iqw3BgBSr={F8A$a$38IBbDEnMt3M?y@KP}_?5Tg1L+Mp3+ebLu;Z
zHl9;Y_6}A?A}p;wm}<aeSN5Yvw`p~)6Jz>Ks~?Gxt%N0Ar`5$6jN~a!Lno{q)9N@$
zoz0?}R^wQf$Z`O5ELl;~>fm74Sy{&<kmb^R4o5kHeU8|`)#`ZHD7r}e!nJUzZyXao
z8A!!<k<qze)Dw*V$#NnW^>~C~@xsC<@l%@bx%jf1l;H(g^?E)M7dN`fWL~!T>9rV+
zWF?}>PE@JkNmBOUq5X5LeKOp(%Gudaw2z-?CWv4|B`{cv&&cU;Dw@Sg2o-yr5JgeU
zk`P4=vty(vk`Zx$@<h7Q9}=rI`>#`RoFb_2M?F{sh2!t!wvUrX#HPvpbOb5e(L}qA
zX#XgUSA5#f4#;Fr5JELvI#3ix;Q0D!Y*V7o^08)!k448a<%Wx;L#!XtQ2_iQl?QQB
z4(%cpr`@#;!#W)hFgj)UXB_wRNsaMoXWA13*vWcgGi%CY1GIa=3mj5NQ6~FJlg5fO
znw;<mgA9)N(Y00rqy4C#u$C<&cQ}!uH`dDO@Dn~AejF)xn#giqnHK7F2qtHu$=GjP
z`Oicd4*+iM6{z$OEUNsMRD&gJ`!n?DHmZE06I1$)Dpw4G6H3yjIHInj%HbG{WQRaQ
zC#;a|1RZ-I)h67c8Yii<vrwbTbFCaoh$>qSL0G&ym9|)Pe+a^M8ap(JYB(*&86*Ri
zqfXTeV;qe!TM^hY9D*<rgTAyVi5}G@C&dg;g8u7S`((HjGh7={vN)i<pNxLe4&ye5
zATTdUt83JE(Q;8dL%5f)a|1D*9vM;vhE6O3MJUCCwnrl{oSHoq4Lpt2{1RAp&oZ#~
zlMhsxW8|N0wtSK+r>s3oBGPQ5CrN!7J#{9jq|~>!4^-!gB4&+bJ$4yBP(7P!pk&}5
z;{)vZ16As;x~1-Xz*m5Ij$vNfzIdF%o<C51nJA30x{nW3e>*nd<N*+iU*!Wx`GG3+
zO3&D@0^f@aUou@}xEC?@WBP&W_hXz)<_t;fdqQGqJ~fTPqqHBW61Mb`ej0RsH<hG2
zPtEqZJWWz=|2p>+`>bUUz<puo9_?{az#&p>HAo4DnSUm~tW*tJ9wyWbC`(VM84S_c
z%?Ai{7(vJfkudF{HIR;G57K{>@H<(FsA8}x>cJ`o&$OgSUGMihap%bkwcw%=?2EQ>
z@k2WhDeB9(s4tBKmnN>m-2suvTSR@^j8L<Fli}-$FdpmP(j!b68?jt?d#a(5Y0RQW
zx4H1Ic4A4tx$tc<vX#`T>s<Jb7>wizO+zQF9dqG0Nu3R#nhQVM%Atf@_z@+!nWPUV
zakNyp*&-|v(pQpaObc5%P+4;gd`QW^npA6zP7MXeu!87mSs(T<8$UA2&J$<2nyKG8
zE*DnhT!fdl=1XnlNa1f%Nky!`JO?&TGwCEtk)obQA`FYu)jRpgR9+sR)Z_k+nn7O$
znT^_Me6PBoGFNBcq|)~t@}qtd5GuWkzr@(T3{ZuKS{7K+;yp&p(Cqn$CuuC+ucN2m
zE7v>EkM;oqiCB2lmH=UhlqnV;sLv9@19Hg;;lV}<4K#ky6gw7N2x0LH$<bFhM_)?C
zQ3@Ach<dPa;e{3-@)Jf1ze9`4UhP&F=x8{$VxSykp3~$Ra`N<GSc(j_p3^H<X^D#y
zcpKs`1MYP?S2#oWFNg(#9(Qhh%ttAe<PEMQ--tw>X4<`|C`*fy+&n{C(r=LQO(Ke0
z|6k|<o;2w!!1z|GA(EGU6Fs^OFkbD%ihcu(w_{}Y5@7r&1|!)u(a;HN#{eTvQfC9I
z1{k>TDY7g89Sbm&t(y<a<Nhb*k*Qk2aViE*pb-ZT%M&5kg#f71-h~T341BG492XBE
z@Zc8(kh=_zrCbzV{3r2+E0~cIDMANAD~huWHN_DExqRP3fSh;?H;(X1B^nWBybfOe
z2NO}UC@ISLw+KTRWpwV+-ro^2;SyT>-A1y-yP1vOjsLn8B`;?0qKho}y9ECSA0xGB
z)Z9i_Y2Mg0#KOQRzZx^VThR+|$`luqpj`~~DxM!R_q96slrfLvOMQ7)Vkuu($g_(z
z&o=FAhM)xNyx{V-t#B>p*`~P-4O9vRT>@`(_ojIrsr<@dq{tW5^WmMGQ^7j%gx%vg
z6$~Lj^RX<C!EB1IAjO(=4QH3&D$v0P^-2TxhDNux?VLgZ0>_%Ty6?D6`~dTD*a!|@
z#gDZd4F!s)@iP<tB(_fl>wTw~r|U-PEzk{MvEN;22Aj){<JTPDP+sDG(e-rIXRT4q
z&(nH8-8eczQ?8EVfU9(`st1r)@+XM;*^@kdFq9AP${~zl2ik&wF<|g?>8Oi~=rGMH
z&BK=j8B?!BKXJjTF>m>KjK*(xqR~JwP%;XQS#%#cqq}r#09w$gD|j;OySUMh2Gx8z
z7~y9R;TBAXHaawe;f7z{ed}(|!rxc5zRVl0>$rInXDH$3Q}CHcE&9!11Hbk&FQE)D
zD9vD7>`e@WeFzE^jBvP%dtcT1BGx(BNMrE8C=)EIuv-e(iyH~S@e-~jyaYGZ23z>@
zPrhW-p&vkl17*O6K^#3(#xTJVtAuM_aX{#N(;N&&=+wx(d=y*)MGn@N8r6C}Qamu0
zJ-`MC!^QnH1aJd;0`As462E*@_l!o#$>TOfwAzTd;&?`0?a8zRvuw`7l`c$0H{?r}
zM>mjQAR(1&#Dp-f3)W#U9;SfKE|!JXgw5C`1?*nj%V@6$kRZjRHjoWLD?#LIaiwqc
z6DqoiW)(E2HVZ{$cNI48S@DlQ9|%V3MqN&Pri=81&MVE+^awO@AI+IFXL9@k$eiQO
zj+czNakTWto55D<!AL=mJT6OwpnP_nq*32}!^CI7*%7x~jG>_?63tZtjSn~G<t)Q5
zGc=}OtpLTauNN?jO1{}VJQQq$PFAs28BWjWj@LZD$MSrz(ObZYL-YCQp2{Zf2X;vH
z*LhVP6YUEP%xe#f+QNSGpLty3saNnA*Aj0lnz&2@=b0nBq)7=bGZv!v=|&y*V$!|H
z{EAs_2hKx#oT61LLkEOm*i5DZhOxEXMx$E5=}Vr!09>YF_<**xh&<tR-l*bEnmjIR
z#=#(D8J-SS8MV14E@%vfxQW1=gnHp1Ssa`WW#V@+Gm19>5!A)UWzA3pxOBRgGuYhn
zlwYrm$ADIjehkvIz|G8L$Z@IMI^7G_&`bVolzV_}_SKlj_LcO{FXN~V`(gU$9_;qF
z57Ix^V&{c@HU0A!^v_%L&kDF!`+rdRwts{EYSKTK5r8fDrx6Sj63T<v?a&O((+tZL
z!!X65Pcg_-4C)kvIK`k%F-TJlb2D9myv^LsNW*^^U37vXr;EO@=XBA>0-P?|_QvU=
zLN=$1GFC<x^W}|Ty{cY}mFtTZ3@|Yl{Nhi@iimbx2<j8w4$1^|tQMR~q_M2&rLl)m
z>){rN!vZVow7CU79D?hU2ih8k6~0*!WMJcpIGGEI+zi&@+!Xri2V;PrTeClW{wySK
zKLn8+Ug<s6Jcikd9e|ksxR=|*#jhN3Wb)L<xMz99TfmWCRq<3h<nRJ)x%UoP29G6g
zx*IZg$=hN_9o;3)HxP)6y|Z*=5&SNqneguBl2U$Rxym1q{w#6*_3a4Det(H}!9eJ7
zR|cy|5n(0{P2F{b+#bIV9cEZuERMj%{yh#aSQ~MJ&BwJ?typQ4U|^kDG9H-{T?i4{
LZ3?v-h1~xEf2QW*

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.avro_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.avro_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..b5cb5946553dee256c18f7cb2f89cb4aa1bced2b
GIT binary patch
literal 53655
zcmdU23y>T~dDiQm(w!vR5|qy}gN@=9mhNo8*gh;jWgA-{IkHVb6nUB3ox7RV?#_B=
zR?-<1ObQov)esC?I}n2j7!n{DV<<>MQVEppGLIq&l@KCu><Uy!k%Hn;kRqWd^8fvs
zo=5l2?49AxRX)wmboc-F*Z-p*e|O(K^g#6WHT1t|bI^9Z)`@AmUT^tzC+J0^b-&ha
zI<2sGs<-Q{y_3C4G}f_?2Y$Cxb9&JlNKtdWM!n;-dPjQEBqk5NMlj9uj|5IF^!%30
z?hd)b?#Pi|#T|==LN9DM%BN`TnqwW`+GmG$4--L}4YxTbkhuEko*v}{iaIkIZreaR
z?73T`v8rU&T^|i|9uGtt8eYrk9q7*4(YPIk9dE81Lfx<~>%Dq_e2>%`b`Zczcphrm
zP4+Ze@3!L~b9U`$$C<}8-Do7V7w}Wh-Rw@eo7{8U_3n<SHgkL6bb^_qLCdk{W@;B#
z+Z~?(0>R9|TdN(X?FTbhxm!B^yw`9#Gr({#!x){Z!v{!CKTP8f$Y9r@xM>?esp6aI
zP5?DMcmKNXoVz9(@>+H0gaRK!)_oDw%zZJScRu{T6aK#d{@;bQ1fV(|ty?A9(6+r!
zFS@Yl*SihpRaOD=z38PZ^`0V$-Qfda&+fVxx_cCe9xMydykm#mj#HiM*sYqIK#Bek
zD9ywuwHId*Sg31j!Sd$|RSi&G3#g7oV<1rWLdR~q3bN6q*ZHl`_F92OCB>TeJ62#H
zLjrcIZZ&+nj?Y0G+bnP$C!|!TnHX;$Jbx_f*8z&xFhM)uo{QqFZD|DkDv-yO47QL7
z0DYQS7GWB+)k+HRZ~%yd`G_vP=5>b-?gRC(Dy(t5R*@#()r)o)kmG4ldM{U?SyO;E
zZUB2(Q$$9Xxiw%E;Y&5}z+j*xD`}#mqVS5>YInmbDu1<YhwiL(u#I-pZX5<VK4R^)
z4)`r+H?5cQ?V8qN{LQC10_F2QuNI2$yQnBufYZ&CAG_7^Lpx=gqhW@i5L@vxmcn6Z
zw?;83jK)qh8?!;%Mo%#cngO=)nA1byBv8scH<}+<nHE85cT_gOZ4<){d?Olu;Sb%R
z=p{wONI+UFaT4&i=mD=p8$q)60J@Z`Xabp}jYxkxssnKEa^HmLpN!FW-%L#j)NYK{
zE?u=zA)tc&_(hV%cbQlmMHU%<qew>2+B@@DJA<-@cDd<<PN(647gXQ}v-~{kj#M3{
z%90b6i=BnIkR{P}LZeVkL%umxkU&23KG^_|=^G$g+v?e>AfOOD3P^v9%Jo?kUSy@+
zZPmhV#we_v6+FOGlIj;sRNGmqf5)kAkJehLqCTb;<$hB5glHmR2_=A=+D;37ZuJCo
z%9MuSouKW}sK}S1b6TaN_o2|wb>{1S6Qrvbt!pnr_X%Evi)}DwLsY?_Pl|8s&Vmzy
zfs^E*3$ZxMI!e9h`~tQCt>fY>EAs%h%{Kw1e}=aCdkMnY!?Fnur|R<~Lw&xQX?AP?
zEc)L>(Gsuq;Am1s|H@Fb+Obria{nvF$^Cu;Axc06$Ngb}ibLNOM*<))N0Qu;Eo;}T
zF)*mDyOZo-d_IGbP>nnxr5dwUYK-4@I(F!H6akFZ?v*U>O|kq^Bg@fRKcg|Ef?1fV
zYWNw8hP@UY<0wXP1NIjLAM8g$bIDa^R=_^Z+ucT3J!Ut$PLi$Y%%IzD`<<{FH0@4!
zXV=H^)O{eiWUu5lg|Z?p!VUd7RO=DI^P@r(qq9+2l>Up-y`fd9C}v>;rj-?>Kav%E
zgRz2cZnKlyAyZQEw6>2dm<i;{pCFKJO8P|=XQi&O2}DFV6j=?9O;8evlV(PhrcsTa
zL6c)bebt#PW)RhyGIGC}(R@TXfh-*B0j!k%J!~dW9tlcg5D@fc?Qt`YCJ<6OXB2Ub
z1a{}hE?_{aq`{bd*~lol1U{!tE4OBSv;cUxQstqqE&H~albh3=^fh3d!4#f~c<61|
zx#nS5#*U5f^um<M-$@<*nX!r*YxZNvRMeWSTUXwj5>6mTmhg+lnoWwH(qTG2Ep5(T
zXy#ODrRTw%odv{`km}9Zg=R+cHJKC0nzIdvR?41TZl+Kk3Pz;ALCeCRH)yXhGiib$
zrGWVc%`Ai^3|igDsL`PH<)NHGJ7(r&0E5ODOyQ}>N6Mh}PxwLTz40j=K8c{@Ib!4F
zGt95UsInK0<M7{~!-?=-VnQMsE;USYzwZu5qx0QHgN~WqQ#e+tyE~Bn{<Xl5jTQ&A
zQ_R)WVA57yyAU&s758fC;DT#ynE0Qy*!XMqjr#E#3H%nDhQImNg9r9O_w$Xr3uK#v
z@>w>dM6+>|w>=u+#ACINU%6A{gDEkHM{Ut11M$n8%vdzi@L(dvZYaYR@(CoyhFXSs
z(JTlt?=X~{BA-g}oE%}px&s}rvk^56d-t$mZ$d0^An{2oW{P|q{xQvTN5gcKUMo7#
zRz|AiZ=mdWuqp@j8=*w!M7!bDys&p4O>o@qwBS)0*ONcN%<-_@J(U>hmIIIt`FBLC
zU?vpRjEW^_+4gANZe<dO{#vro>a>MC27n8tC8yy>e_73zm6FwOV=;8;E^kGpLOzd;
zOy_?3OX@cvZ6Qe|Ph+X7ApR%5$j&Zl1(AFWGEfO5{{T<!De{k4f<fqVkl;c`zK$hO
z^U2#)G2^KPM9c!qN@|veF*h^1u}QsHOd9jWve3u1GDohI>6gg{$SJ$Y<k!f{6!{fr
z$=#9HsOf1?TqavBdY23KWjD3F(6bxfT@GD1R~9J6swBF!zzG9f3&jac3)@F7O%7f_
z4E^MK3jHShN2^ac(36dr<J|r0q1|$8_rB}wmNn;q#5gr?-gD~K+@jTnwR&7_g>}BB
z)AT!wbXm-TCD~)1ZP^yCqCuk2ogQaHjlhCwI$XZRTp*2Df2(OPT6QDwlf`#w$$U&^
z)uGD`CBeeO^!P14P@RL4d6~0vX6T_6%w%lwq7}_12*BBcO3zSIdd8v&-o2^LHT>F9
zrIQn#5G}ixwryqHg8xuIs<5Kpw8OnrL1rzO3*T+kT;Ho<-|#$4F^|hn=k2!6>o_&P
zQxEVFV-C)vWdu$Gy0=cfdem7AL@BsZRe_>*jkDEPaGAe72BfyqZrX(aw#i-b@c`L{
zjj}`N=~xo!*yO)S!En~<!b-0t5W!dpK-Q{(Ci|_%BI+9$qFAHRBn9IlIR$XmLKq<>
zDy;Zo&3F8!6}pZEeR{9s&~^j6CT324t2{__$*T~tDRTLs(ma{Ocq|$RyVs~!Q_G%g
z-G+uy(eH|s$DerC^b+IvEn+P-5a6k=WL>DF+*+n0<ab%^58yv+V20BrvJ!KCeKEr+
zeBL+*qdF(lS8@!iUxiUiGn+jY!z)v3rxw*dYtJ6)4$$<Y_)!1AWD8v+I2CXma=ipY
zBqoIc0p;~u3ku07vkc4op_%td6ps}~F~WWy*N$56-b`l?M@Jz;xefoYj<{8c4Lxl&
z{G__#c<9Ka11h;iRMKg-T|4jswVHIXj#rI7C#&;Esp6BPyp*RW5o7m0%C0`C+9_t;
z?wl?#U4c!mERy@7VDdKjlZzHErxFR(+FkvS+8zyA-?{sgGPKD@bbGWDI~o0@N<vpO
z1Ls$5zka>)DbnnNF3QbONCSntG%0DoKVnG5r6N|PLuk>hN)y%qy*BiEsFmJ@szg5|
z)W>Ua&7y;O=$8c{gu$Ve2b)h-lIk3r_8?t_EQCz~8DWIj4+$5A{b^*mP@hsS0YYD%
zp!LRqYerx2lS(G7FXSC6*ON(D1pn#R$(lTqBB56VY$~oZrzy+&q^i!4M<6jZAF26^
zJe_$K(&`bTIwRrA=u8GJjn3qxyL@o*k#I&!C<Mem%~gNh`a+*pD5+bQh+b#~2N+bT
z#GB+m1-%u;i?txk&Q+4?BUg*Ksg}PbR#b`3+K`lPy*%kfLMYJ|C`;pX@KbRm+JKc8
zs>6OHx!#p3PS3TXFuz0D(<dERVJ?J%_2^KAk<ermCWDMdVRF))Uqmz{a8aS;paf}3
z{gq&%53(60FcwMXL8pL^S^?FvSyJp&cIV8czJ?{ei6$klg@2MBu0jqe@1l`I4#ecP
zWH(s;mVi?I@k>b}?*lh5lk5YNIfZV<+nScRBmQxU++BtZn5vs1CkwP0M;F;Gg|4|F
zZiMOr17cQ3%*G8C?Cl<ou0=aoMLTF!@Uh=k2{{KTw|qdr_bbcfWScOU<yH4GWb5?C
zl#IEKcoCf;_)tqjJMP{u(~QZg32UglNebfUj1o|B-{-zRv6Lc~^&qa6d|Kv>KDNSR
zu2ryT^z~5*mK>N=upc*@?xjB^E6F4CvkU1t!<nz8austQh6pK2!@OVw=8`%M<k+Nl
zq6r~pUTH$|B(j{sX7~b}kh(xh5o{aaZ<12<y~5S)M?AIx<WVS;E&GxlOu>@};7>vp
z$$Q~Vv4B`u={-dr!sL1SgUG?M@9L6bx^ngy2OfeF-Ve1CLe1TQZsQg@*7rej5CBmC
zOvy<Bh}(cIy3+-#F=_VFOYS_TnT!nqyd$tIPc0l7$DcGhU->=K^4TUc4DNKRv~S04
zI$vEG*q&cc_qsT(nooC5m9yz!{IR3F2qt~Dlu1tzP44JX%zE_bO1F=xdQdxH@Iu?A
z7fNNMo+vi1V**%9+K~87(uPz(Uevz6-ejsa<RvoK>clv9+7nqM!6BvICLz02Rz7cK
z((Jrr;K(bnn3Uy@BZOhbQift}R${5?`y@Zt8~ITu@$#E6<|H;j<Xk9p`Q3m{fQ2hq
zbqY(}!HanV<hz5bg?orzc`NKEMR|jj4{k4E!VPDvEm*FsITmc?v+A%n3Rj@$-c;-d
z$Q9l}vrB0qHZnRzs)Ypx+XX`fEX={83w~c#R&Od4PbaW}LZraQVy1XH*jdP&LDJEY
zNuWoL;h)X;=Q#e^BA>RxQ;t*P4C98sfp(?BK;;H6sKR<z&8_SzIZ|P>r?AJ(_3Pl-
zE-B^N1XZn5<NaZSmyo+rr$u2EYUJ34)Z1II9~F0_?zXC)KYc6RUVYO+_Uqb3*aC9X
z!6UmZK3kz!9*kR+yHKq?S6Xwv-=O}b;>NCL6Rka~y!1ZFmr@?-nEZZd!SW6$lDVRf
zu5>3aS^>8Fqd>;KXEgr80`}q;NsK-qYg^vq#7L2cu^7t3honuqWw}LzOGLaI=%TU|
zcnR^=!7*8a?9Rk*l1P2lh?FM2{&C0z4Wn$+lQALbos#4UGlBdlXigv}z8=4*(y#0m
z+F3|bIat}@@es|PS|mH2BBwXu>inu<fXt~B8zO%rgR?&9{s(4G^Ks?`vS8%Q75tx>
zfD%((5Q-9W1sNbP0+UbuCxS7lg`5~p%1ElwN<y(owfZUXm@-o;k4ci)fKp-vXWGni
zNpLnIINS-Qu(`ras5~|aS_47@n`yb&WVY2FH1lf$CfPqT8qHKv1qCtIfbF5=QKtB@
zPk5eoS2fLb&fj<9L8hYC|4n8B`Ji$FIo2P)XsrKIcUQeDRdmW|C=FH6yyb5e%?8lp
zkO3n#-jRV-Z|py8W;P#IP9SUS^LAK$+DxH59N8UKWuVZj?Neq(O;DtC(J1X2VJxxB
z>feow8h2Tl6#{rDx6A5BW=;m!WyKgw;i<?-*0%Le3mdISZeLvNa_aCUOm+9a9Ac&8
zSYVE71O1rn{%#pb8k8k#JtI=gJ8c5uMPgCMk;!~8Vi?KW!DlT01k_eJgDS^fV(w`*
zjU(x_(|x=Ln>+2K?v1<QHYW&a$mD`|%xSSHD42PwxlZk<<-u+O5lsp4gBF|=;ni7e
zJrDVXuu7PjlJii@Rh$%Eaw(IDOA1RbpO;!yV}IIaFXL5&HhXm@kf72(&_Rvw<vl<3
zm4uWI9BwXyrwIAI5i{-Ja|QcBp>rZ0$U+Y9#xTT}$pO0|mKQ`4g36r}b`wr|th14A
zGES<*On_6k@@h2D4CLawv2YTT2k6@H7P^Re0f+c0(S=L(N0I@Dbd1Q`EoV%6SE?|*
z`9|h=XyI|noIa`Azbh4v`(`Luj}7hQNnkROQW;z{ky1J7UX%&PO$mmS@~Cf8@H1%&
zv5!fgtjVm(6uF}hq6j_@!97fqnnQ49C|4XNi1Yduo-rxrS@VQl1_5$`k-ugAsg{2R
zSWqQUFA4g_6oUR3txm3><0q9&x<`@}^u9rXUrH6H=UNf<rzm^+q^hWscS7Q#QM6xy
zw0d-?s7q)vqMkuUBkDQnwq^xEHg1&j5yUxNN`G<wL?6^L;%qEZ1pK|eK&d<=4PA;U
zGzJ;q0e|~w(*Ax>2KWix5CMP^KB^m&qe-FFiw^R@1O7H*ram4}IeFl0FJL_?*t3Xg
zjh+s7qCl5POwO2+NQNU*Droo@m8lDj8axMbm^$QGXWm3u=Vfl9jjT!NjspQi;+?EH
zZK}OxswbLi7BdxZDmI#-B9n5{n(@@3!b}ZndiXG|kMTJ`o5v`<w8i)LPbXR&p)1wm
zW~;#CL`DBr#EF_S@n|S9kdZA3%Vf!n6=uzc*}7uh3h_I^aIh8Pd!S-$g_u5RR*3mB
z>Y%H`SKy*<$#r3|zzu7{7nfQS#>Cq7;ON6Eef^WM-!HalLXON?`oTk*J^%us_Ehw0
zBj#~1Ci5YgYgHi{uO|21g7ryR!}6=hF*@W?ECyRMR#EZ*yj%Xsnv_U@yTW);&Hx=w
zzlT>TcM3%D(VMt0LeY}*7|EB?8<8(#p;P2(UbZl0dND%AFiPf+F$as1c~UZF%qHSN
zMLlHg67Uv{l6e-0G8_0DKG7%{`lPXeoM8+~7}O5lgosw*?EEU2W*dJDZWOP?>|i9Z
z1Jz-n<Jqed5>_HXSZ^U8Ukw&ARhNF|@@x|jgWJyk<#O9!=vCYKbD1kzwOGf7bZbVY
zMfWx5i!>Xw6FWL)ay{nI&=^EAg2hk?hy$y39uzkTv_akMU>Z)ZaHi>L7SsDcac;nK
zE#$h=1xnzSF@2K%?MD7}p`>}7E6(9ZARWu^983zpJ;mx2M(Wsp$~CH=W4oL?Hk<7)
zrQ!h7`EX7Lfsp@z&g@gGjMtmsG`}#@(hDx31Svb@WhggO<f6jjBV6WBu%66i?%|pH
zjad1hK_CP!Q>sfWbVXg}jX;#S%va+Rb(!=@=Q0_?OL3XkQS-u=RtDZLaT%6U&RH^&
zdN=tOtHMo+TJ&>}XC)n^$TqlZoGUEcs%yMM=89G!zOhr>s7S4FhlzL67*I!er>u7Q
zu|^CTX=5=dM>x<PiMJT}(K)s}PGTEFUJr#Xzhlc6T;bAInGjKDc9?_T&zYU6jMDgV
zQ_@Z4ev>js9zqgR<h_NPSva8I!yL>3Jt)~MG-eaE0tY0;G!~Ac4(L-rlsTZs@rgPh
z`lNF}jNzp?p#5;sNp%jlHdGg!7Q6VO^d<*369-dSSC?``Ii&Rt=`$<JA!QHWoX)LH
zKgZOTjwvU5g|$ln$3V`)kvkzADsrWDqiChWEF|2}q2F!21`gPQ{Tu9_G5pKM1nNfh
zGjj+Fo1Xhk>KV1|U*&p|KSneUa-NoXqgC9x@%D+$srF(p#(}Q6-_`q1#^VA+6R59}
z$bUzom*-VAfx6E^rlRq!KQ<G{k3QrCazYC6i#ijl>~2^O!p$n2U5TOJk~JS5PnM*&
z(CR{rVdDa&Q7o=)9nj7UO7f#C85Bt`kk`4upy+SWcF|Wv^dd2EFjgCK8Zkv1LpH*a
zhup_=)$$mLY-5bcf>QzUGt1p13Z-HVb0KXQb>EIY#Q0h>xA~II31mUZ-CT2vnS>HQ
zT2MwyZLTQ;M$OD=Nie1i{wO6gcbW;8hsa2KKq)frH+h@61|^}}fZjTV(YwtQ%45Wc
z3<!o{hsj6Gj2fYc_u3iJ{>&0cWVJT${<JTeDHK3ES`UYBBrg$Uga$<12*@|g>>4pI
z2FQ2K6bb-B{t1epCQe+cxFkFb68Jx6UQKB9_0fcfspq-gI5YVoxZ~xY131StMxa;k
z;zB6v3eX|;lf0+ZZ-{-?jc^13?Q&Xj>?g<A`5$FRjJ#kYbUmiXHvFg1QJ!Lu{RHi^
zP)5(-nKK<KMX(^7SQr)clC_17PmI1Y$TozA>;{r-h`k4&=n$Je>4w;h-K7k%_j;{)
zzvN1&Jn5%&d<YWLj-q*>i{ZS0c$u9QM5jpOnZFJ4Ee1)^A5tXfc<=_JJebFW*UG#r
zKk9<v(0?{E|3tIfWledDWX*BB#V!f(kyKXwn4w_DGA2~aM<MUYA*8;e-8M6uZ<9HJ
zEF?KW@_%3^pxBXuXq4EvodrU!xMnuszRS#~35cYH%Nsyq#8Rv~<Tj+0l1zTwBxp0}
z?FhemKGoO!h?z$POEDVN5sq0Vd!f+fcZn%0CFa9deDoW)8r1n+#o^BP(gn_q69s@f
zluaHZued|qxpC|`oi70&%p-mopQuNqPa2QNE!LnxLf6AyJ2-Hr3zw32;9#SH*F4Le
z5tksUb&o6m{IXO%`b{s#M{K1s4!-jFT`soy6TUk0^qkDKIx&uWKoeOc!K9|%CSCSV
zW##i`YR!G37&!71ECyRVR&sJ0-Yvg*)rk$avz!xZ#h&4H%eP|jac39pgQLtkxR=kW
z`Ayi=<;{6;SH+@r+=J^D;NU545N;76e_{f>d`1aAnb<_fC>!ygQe%{FQ>bYLM|tLg
zV-$f080DPyQjD_kh_my6D6`4u;}f;X^hslr31fIEqm(NfPHO?0Vqk;(@=|MmjGERG
z_aCTimZM@()ZjMlioyb-_IxgrxuQQ?QHztf^N8I}n!$)VjM$hBE7*Y*6F;Q}(IMS_
zS<mw3E5?Z2jK!q7rSZZKY?GsFoT)zP8;rDd-X@Q#Vl-b4g)YC*%m}3Dm98G)pa$;}
z4tcIcS5FeSSnTP7NJ4Hr;C2{sy#-w2WgU0Dnrp$9ICdqIoLd?orxZ!jMgFEpP*^gs
z9q>xXRn`vexE->m11#I7$a~AcD0bT2gPC@4jn*6splrC<mMa~?!E3(C29GoeKnC7h
zhIzUt?m@`W&y(|AkXT8zuZ6x_H8>zvVx#IG7ATePi4(0Vy3es$$}69Tw+fY%m?t`c
zMLQKw0GF&&@gzRcP6d6^bSjoO(7Reh7Z2X0D0f<_pr`Frto#!~;wtnT*~Mqq#CZnq
z06hx=QLKloc7VPmbFDgL<1Wx>0zc>k#V@1@qTQe$%G#Fi2E|B`A7C-5ZqRRJJI61L
z{HvBNzl~$gW1B_(1qxmMu2hb2i_X-FKbR>NCl*NhO%8i*cS>=RGuq7?HNS=T9JBo!
zqIlVtDxFVCHF?1V?MZFJe@YFH|CP!x?Jb_cGxu|<+>;43z>`Tuh{dU>C)*7~`63=Z
zu|+(5(s(k$7+%uwxZ_|acJR>Ha>HXrP3y_}504*~LqE=V>K0XHOBl??ile-D)15=g
zw*oPym_5#4;HYrrR@T@I4~rVJB?|FV3M*S&<iaL8Psz0}^F-RUGVcl-2#~;UvC;a?
zw;nvO4|eiQ3oNLch~rD|SrKhW`|TAs4r|?6h%KHiKFB+Bxh_AwCG$Qh14m>#=DA@_
z*y|f0Q*zBxf2j9SGlBf2I!+)b>=nPL)>R36&Dp$CNuQ*I9TKtGGc`Bz)>O$!ZBQM0
z!L`qrP_dQZlNnU?E5SW8v-zlU0)<wBKV&ALtX>vGqr^&Z76|=H@Mq0@nt(_;O0%eI
zBoTTcyVfd^!fW@6VK_V`742(AMvZ5>nzaFVD0imob7oEkIMbCen8H&L5zzz2(CpiR
zI@pfb-qE882KSK}L)iDMj$at-uaSeFF}CB_O1Qm%TiDD!2E&s{8<nyo`7+4~<Omvm
z(U`o8g)J+xdxiEaI9yp95L>IH+@52ujMB;l4M9w(m|1)wFpzXMdb2oVW;P#rP9O_O
zZY26%Gl}wel!`<z1I8_8PD_Gej0R7N%pGRJ<smZC9#D#mp}=>VYfuupoItC$m<g1J
zsDyjX%8=f@zT3>F5eUUr>IwYm-~>|sCV$tE*{qiE-+yIf)abwa@=(ryf5ptn0REdX
zn8H($L8JeEp6;9YuCbOHFZ~>3O8N@Dm;Q;FK)z^m0y$n9zi7PlQtz7>*_<po)t^ur
z>Una(>w$qJta=xGwwc*{SUG{L3(mW5qGF~{9*#2iO=O|a+qPGk88tzX(#3q+W){X0
zw(V9Uqek1-mxpq;%`tN_fNf(8rtnl`Bx~FHr^Rif@dOyT4Lj&Kxs=>Cssst=2sWLz
zOZJ=IW~_XX8HlBA54s!Zn<kz)RATo|9s)6TWG|qy{A(F;SO}lh<0~1w5$GiPReZn%
z4U)Y=S`E3_b%@SF%ODGjT`x&v=xnRy9H;ZQ5PBh(2TJ6SZA(6m?K(w1TDW;vW{8Dp
zW|iXp5ne%X6>+5Eq1#-DSb>u;0w=KSMg#63fPI->Yk^`r!zZ{cJVUGFv>SE}l6m1c
zZ37H`p|hchw6ZatkD}vN`)k%}e_6KG$mcM}x%<~clgEhs2Ck&|Y8g&N?8%of6GXgI
z6Q+qhDSsu!m8m&w!^ISH4$1<HXu_kt<K>Lx^%R+T>|*oV-zyA?dQ9{qkSlvt#dqK>
z$adaU75FL9`%78;<O%+Cu*Uh%865sHRhYiNhe0#^s)}Dw=JZL`u3@RGDt-k8>#?Ed
z_e)?h=l5rD(VX9(lWu3`s)}4ukqR3X%m8YcrWSjxoTwoh==5A4bg?1$wH43Mq~>cY
z4q<SwRcUq`q1T2Z?Zd^k6To>id#Is<n_3i|fWtg|>Y<o(f|cu#UT!fDHj`UNJk^y=
z>?L)k?^Nh3wj{+?FFtw+5cgYL1Z8Qo13wklj>#k}VwyGmS~fgg%e*N?LSGX_XKtV@
z>yxTFL$*NTqIX{GhqQXcsLn{ZGCGq%OQSP6=`N>oHIVp7IHM&L0=kvvs=sdS>C*}&
zb?Xw*rHHSD5pUW~2SYzlxwuYIyioh{)JI+l!%emPEwQ4a_g3Ivm2SN}=|w^)(MgI$
zu8YA>Dw*`sX41v<y(H$rRB?K)6@@uP+0!Q-SYh4+1?$nF3L~M(C`<+!jl$%lllKRi
zL_;=rR46$pL7Gy3CAg~(vKb{X7AY>0IbFbQ@%UWq2o{XbeTsRw*XCSQc1U>_6}(91
znNpI-FOoTpnfmlwl~IT?7Ke@Y$+0*84bAq$GMvzU!G9NMHV!ayTnb=w3-bVIF~Sfr
zJmyS1Y)lN0C4kugXy)z=CqHa~>ad`(7i@(m8Z<_qG(lra41c~pa2if6bn4Zk&SEfl
z40O4Dt_h;r@UfM@2QyWVe$mkJhQ(CI!9$`i1|d<sm)?hn2|3&izena;ofyXfc@tSA
z!ON%KN=HNc6<5p3=Y?jO!}DU`$W>TODnj~988?83WF3wp1AwP(N-T!*HObonBX8<d
zWqxzUT*U^9TmXeG|BRtdn8Bmsl_#rDu;^UdOL+t2&T%S^ZyS$;7UE~2`IIwgny<30
z2|+Sb#4X(1h$`OKvI}#tkZnh@s#kjK-f-t6Y6gW!(T#<qXiW24fGBfMcjFUvPxMLS
zo;br9N2rQ&%%p2GTjsu*YF3Ip@(A>Tq9Hn7&$~|xKQrFmA$g-uY2MsTS+`zsuZYHQ
zOX?mRyFl@L9~FB^=MQ?edjYIU?K(nFvl@4&-1VH@-OwcKOjG>PaNu`4H5d-<#+F<g
zP1d@dj?)UO{QZGwlX%mB-RHdn(J0K1<9u$=i?-JNS~v6>0o<JdQT9%&-iwA`XE(Y|
z(34khZ$1!>$@8%w{}|K*?ohUyZTPW~k*Px2N8#r<|Jm&{;MYXx*WhsF+EM%p<c5H+
z&SEb*W8U{exDwD&KJH(O#<do<y3OhdJfOY@ZzjRedF?9fm~TSX0E(PqZ=i2M-&Aqh
zxk?)jSO$tbL&FYW`Wjwrf;nox6IL6}F{jbnzb+bg?S}k06m5msZNMtD!)_oF4MjtB
zXRf;d*(Z<N9UOk*ksXfRgg0Yh2d2ESQoVblNj7cjv}%4GQo+G@-Ee--WqSe-p3g~s
ztU8^J->JGVaSm7d0M5v2E$l^`{chOqhSj)~AzDf=+L8K_DuVniNMkg~%FX6JC;1_j
zIog7C2mmOTPviHZiH6-;=-LYoAYONR(K@Hqi_YvgaJx#qT6fwYA3(;Vzz)N<jCrUg
zAmY`l?T$0=oq!HkG--E3zZ$=a)_EXQ6ZLMhU6q0dz|t2mRpxYBb^}{#GkpW-wgPPa
z_*FY_x^=&LqKP84#W~UT1E;Fyq*77~tH->+3;hn3Rjqr0J=egBa4tuLLb$u5O;8zJ
z(tuMK{1zmi;K`~uFBkNV^rG$f1VjRufPgg6HdtC6ntWr&J}!TPh;Bu#0?EO{13(L!
zUf8>N&42uSD4J|L?JB_HfHuM!36R-@Z|KR{s2-8!hG9FHotZg){P=WxF?9XbwBK2n
zsXNDJAZ0Mqi?(47$_nJDhE5aKTS91<QFy;+=S8moWG6fGwG<hA6O%bdkO_Ss6y0;e
zc}m6&n++f_7TR;5MfK3_?H`SHfJ`>4QavU6)u0Vh-@7l`5-h@QoD)^oTW}ljKgjQf
zhL57ZDQMcDXm@r&uLA(;O!}MstTz0b&7s{<b8S!|Xn3Y?fHH*;av$xsfy5*jrO*oj
ze`W{n1L^T=cyv%~7|uXb5p?I0>9#n{IT&yR;Uds-9Vdj+w$)&%;%L=r+Fqk-*XtdJ
zT84Y0^-k+p58OvI%1i|4B#4*Ss(T>tVU-=%NQGf55CU-t!BXN@1!q3!odhG6c-w*t
zhv;i4ZC?I>Z5;DnoxUHzm+YB5h+gCr{0X8ld`)MQp-lSWK;XXkWUoTMgFm^#9gBwf
z*^$yD4?%wuH;TwplCGfLFxB@(LtfDIL1NJf{u*dO&*{OHc}zo(^*f-lunP-jq>s4s
z<k1ZP(WmjxxkK>hCHUv<_$R_Y55P@1^pZk?_bCy)bBSI+LGFOV73ndQ^pt3N`W8JJ
zj2;w2@Gu#IrymeJA%Sk*Be*q@E`8Gg0otXdqnK_qp{fCG!-<*)jsk@M+LgUQYbVk%
zVNu_(bYM?FZJKj_LuwXHdRFSCOg)w;aZFI9na)U*500x7qNm)JE{lIz6ODr{uK8WG
zw7qC!&2Qka9O?l6c;q_%{uBt`J-tI<P1<$`tSiWJ0B(R0lqNaxdZT<z6=$Q@sx`WG
Uu!Q~s8qo1NdJS%1S-VdEKl4<YDgXcg

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.base_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.base_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9aad1de8bc893a842cc894af1d9d96fb53fc32d8
GIT binary patch
literal 38505
zcmdU23ydU3dA`R!?{4p5pD%*-IZcei9^QvdFqq{q#&$4p<m?<af}D<_XQp?%>t?2h
z>7Kh=5(`K`KvGf?xqTQ2L6C^x5If|dM0qG+LgEk*k%AP5Je355oj8IdA`w_X{=Z&b
zUEN*NJ-bG`md@MLT~&Y8SO2rB`tP?-KJcc?yV!s9P}KK>-lb)?-R^~LFG}c4J8TWR
zUN27WPfolexi49uvjg{H6b=V1FQL1jM9U94?Sa=z&L#997LS8Yv@GgRM_wxq!k((`
zPx@2-^toigpQV#=5O+N75uLrwjXdWLH+B;&1Z5`f@h%~8{n5J;))Q#zN;=hdfp(nu
zN9b%rb=KcYr$ir5(}_;d^ODoUrc3v^aXbi`!x+YfW7!+DBkcEdtK&uy+=T1Np4;VD
zGwoqN{n2z==Lg;zmKoCN*j>j*iGRqS_Ye42`+NQ4w6$_?<PD;g^HI-pn=7pw8~s5@
z0D)-buGcjNUO$XhaBz1I!nL5|4OXDT(F*VAN*f+ParR&te?SGd4b3e#0h9*bSsp|%
z(rZrb88-c0bTa6*y-ON=99jPdVPyVu0KIGB-*xcsdGPN9juL<x1Z->zbfWJDgM?n+
z4co(x_fn?<`Gh{7mtLw;*q=HbC+^U{-e1xnx?C5cHP4NQ1Fz8>xV@I2L5cm4D6OO@
z^*2@#SQu+>-3iw!4GmD;4XDo2Szsu4ec<+e4O#la+rwV$2EE8}o6xY^iXFx>&RRHN
z?K_>&Z6iIm*LEWJ0$eV09zHf^<&?{B2mD^aS?sib4Ki}+93$K>2Tt71FiUO#xR<$3
zkxHR-SXtJciU3_u9Q4JgF75!qa2EJ%1idPgeIlWY6*zcVww@HSGM@^N!wJxoEsa^E
zg4+e^5S}!m08|C?uvUiNCL3P}di`PCK(TN1-Pm7s?&_n)bUSB((atTh0j)Z(=xr=I
zA$t<7I(G!E_yl9G1?a#bM#k;+!q_#GEuG@PNLG|TQ|6k2>F88rE;@Uu+gXkJE~@^S
z{=frecfm`L=Lod2CbZy(x2K3}(}^+!xE<iQfw4nPE)ASNNuOJVJ0zsl3TFX-TRGqh
zbU!f65}?a^Mdz@SY!caTPuJ-FTm7Fz^zTd2_kW6M2pHWg8=X0{8Oe9D`{|8r7k|;#
z#To1(@81lPDev0P7j^9l)-_bLT`%?qodC?52LH|DiiDB~E_jN7-uN~4##Ivxca+_R
z3E?551&L(teiqQ*EC-bC?j^21u{fy@19A^BK0V6d!mjj(y;eNT3Hk0-*$24FQvI}z
zYCli)PXyItbhl$P^^o3_|A<uGbS|T?6o3c%UJor|;}UpH+6)LU<rtlj^$a>+*6Ea+
zI&eh2wRYGAtDMk1{SEMM;6}XB2jw)$1O}W&yyFhmy%-dhA_q2pW0iX{3B9(0tfRKu
zSmkY=#<_VMQ2G+g&8HLyyU(gAIBSgO>z46+J~!<+0oe54%BB@wd%+$UO@GJIwC?$7
zQ2Ad=aq^$cAjAmh;Q0SpVc_6gqN@%Jb1vIEa(MTyU6u}(j@`@p0e_goNQj0}P8+aP
zjK2n8{tAHkaS0}9MQ|6GITehW^6>;dl7rztGO|RL?c*uzCwV?p%5qAnu#%H@0)>D{
z0(pUDPjvh>ncWNi1RrVvpW(CY$j{h2rXjCOrH$2)#z<Bprx|#L4zS@o4ol2s+^QT~
zOpC{oGt}=aL_<47#hrc&8=tO5%9-P5>;#ILLl7un4t!F=924kXmT?Dvm>v83jkb&l
ztIr;s$Y}m}fZ=D5vq4>%KSme)2<R5!@(QO*t8>o9=o=Ooz-lLSAG%9n6ITL~i~~of
zYMCMbNq>sYtPMLI=9BpMqb+Lt$C3W2-OwKwXB4!J^le)Zwd#vEGSFJ^Z&e!c7<z;d
zQ*isX`exqGHw!s9MyJK|R3)Uh{CV<4WA0PKMGqA<2_g1$CjhU{?PyK``7$=c?Z}is
zD$8U4Xwb<{I;>|fH-kF@V6B(9wa%aoXpz6iX6DJ`@W&QM(<$a$w5s|Cnt>%xK-;N}
zRldl6XwkdW?*y$NPTtE3TyzILxYXPc@)%Z5y$%2VjD?oaa3AD2-2tH%@+D)EVN;V2
zV`&P<1IrfVyEr?HmC5Jvl5=y)tJlAx{_0DuI*RAW^d812llX_N?p0lS*(q~U2=L;o
zdqEtyo#3sWgL1E}a;XI_wjvREv0C4%S1E<~7>D?1U5Lq*SmT;gdx5hGM{zrM^&_X{
z_ME2YM18LntOZ`1t<H7bji$G+8xGWimJ^3g?8EP2lj#jFQiI!)w$d>_myh{}#vSuy
zcFePMAB?NhZWuANT!Vr|cJ^FTwdo^K)r@cV-7N$2NcuebEj1QsXr7#`GZ3=MNB?5{
z!>tzj#%d7Fu)UG%DLmfa1e52*<%68X;Wxmlbo13y?Qx3{xH}6FQJrv>mK<DolRSVc
zalkaVmWwP8Oan{2r$g96;QJP^tS9VO1FDC;b&Vv=tpNy|mb;%tu~8XCie^Ocb1Qid
z`8KFYW;Dpts4&qZAm=#BZ-hU9?lHQ@SxAjHn>Bo-Yqiv9bM62K;;<Z~*X{dm6h!(k
zS)?e2#;&u&xo9+>wbjN#2O0A24p?`~i|UaDH}eG+m4*M=u$F8<!=wxUD?|%pd7_}&
zePR?+$LOT<uW!HKSR7$3WDq?@udBvY3c9KlM1OT^qb%z@dHo1<k#FvSGSK*sv!di)
z_#>S}!4;_}oxxbyS?CTsanJ{OLEIxIO6);Ke1e|Pu1vK$u!$1G#ujeOfOcjg>7dMU
z@gi^1$imY4h>-k~*yT#*xts%}y!-|mccHxCBb|&XFXV#W>w{TXq!Kl6tBGeK`DX@+
zazVhU5;F4{*5&e|y37y?g_-&=ywD<<c?`;yBgSM#!IhJl99ktZQ&8?D<Fk)~lWw9B
zV1Kh$qh;%%5wlQJwr&y&4$eXww|US$$vb^-fV+@rn}kd;y!Z@4^t6x_AGK5=RJHo8
zuwtzD9q7N#-R1mL&Jt3HzQwR86e4`2ld%iY1P)$`4*!wu^%Z-w&6W3B6PQC#$r|_R
zfgFVnR~49}&~Q0AOkfl=If2O`Qz9@0<*u#58VWdCsW=FMNolkY{4bk$`y^xxjI~K}
z7c$E{d2NMOU&D){Q#m5WBscM*FJMK<i{MYz!Yz=OYWL{$84vbtd&&(~zZIZNe%?@v
z6NL|aFIG}MFgc~s%~{(C<$i)-@gJ%O;x}Lw)aeF<+w)`%YS^R!1xKKZ-K~YLeR^+z
z;X(&w^yVKIyXj*c2=LF++fWZSP!EFEgv(I}Y2+@bqYebYp@0|FsmYJ%aLucqbjgqD
z%?6M8p1eV?kp0kGLp|>Qf-1vyEZESbHq`DYHeihSVJinL_`l?TD6=3Yw@F}=mV8jv
zr4McM4SXFewv~Tgfu#bI1vEjcrkDPR8l>R2g58hYE*tqhqgJ_+)BP>m?g!GaFZ+S$
zF{6P!w#l8GLO6h-O(A(0yNuYRVn{B-J-#eW9>u8fGw{C*JCHwzJJmKsVI}&0@)uaV
zh=sB9uq?f^7>O-ZJ}9Po*d%`mqmz6kG;-O=I@FV&gW@m;vH@7kESLknDZn<XXO-qL
zw*<tVHu(zlg-*j_I8!p@tN4?hw$Of0_d<RO@V$t6gSl5it!`GOzAWgig`3c(H`dao
zNGyBKs+J<1Q;L)~Wa!Wdbr%gN`;pb0dnRD^O5;eo=KQYU8DRKd-R_!`<6tPw!UG&d
z>hp+!lIg(%xald2EWpn)s%~0`ri7{~QtW$nAHMX&23fRsws@;m5U6BPR_z4pZ<sQ>
zH!cw6Cpdo0-cK74so^otA?qe9l^t>zX&IcEaeSwpm+^JjEN8j)K5AHwBAj-ad<$fH
z>usf>rKFkMDO!VB$ft$28{0z42Ean9DNm8FU?Itq&;{~Nn0E5-c=ay4`VV#W6kKh+
zH9U#dtfn=DAOsg|HXyX9XAF^6sWIICMuvBviLxd3Nri!zXC^!K<Yy&%jtYCyJ6R3z
z;juKp2UV>dg=iWWj$9mnM2)a$@7nIvr09@`u^A(lcmVD_llqadgwT(o1Kd9sLn_uj
zw@QDV9^flCY^z#r<z{ax9wMK^M(4?6qHVbtQSPE($MCqq`>+N-uJBpaF>5syCMa4(
z@M=mBj@ff1l8q9$4*Vx*h3mk7#w(@+*;R=S6dlIX@8d4C+>SHTfVW<{Zals^yct`8
zky&4MQZBtlvRo^EV!ONEnNf^Vjz^0JKfaFqmSVUfU7&Bt>R!?}RV}&$@l93b{tWnl
zB19^gdrBFwb+nmDkn1s{!4xtwjm;PyZ9%LBeK};j^<!*8AG7vn^yH;INgXZnb(q_&
zSK-BsD?QyE#zf5I{I`&SQ6}d~&E()~fuJCj<tcooc#gaP=XajmP<fiA0s1fO8#h2p
zqVlNqe6da?M+H_)v1!U2RSnRcK$IJxSK$>iK<ui_0PzlQ#sK|j5aGF-A-o4OfU`OE
zR{Nzf1&@5SmI=xbEjL0BZ+9bPjAN7;VrPTz09(CmR2<(BH7hf@ZiwEbYSA5uacYX@
z@<@UKFzzbVz|7HG)ZmM3x809Vfg^ov#xO?{%`oi90BdU1VL!9f-)5y=W_*h1ruv1v
z0UF(U<5R}2(){c=)?o(dteAjN2Iz)6@MX#_Bs*|gVHXac1<e2s@ohL4132CII;Au3
zmVURK_xcqThma3q=jO@#D>I2ST|a>}xaqpA23RR}l6ZjWQY@XaR#nsWNg&Ei*Kgq!
zGhOVe%yjV%Z_0GBm%P1RD`c4hzE7qrLv#n5E@K?kO_xz|eAD%L!Kb4a2z1l+n5wn?
zO_u=`!&oz2#$z5w&1LT@)xb>G->JdZH(e=k<jdHMVY<eOq@J+$r_7iY^(56e<WXq!
znKWiufOm{B%XV9?lZgo!Wz4P;(G)h~NR_GLsgkFP_sGN)GfR8$PiY{pPq#Enf66$G
z+1>A{u2wQjpB2TyEGc$PnWU;&dKUDUo26&t6*Eihs?03$4sXURor2fn8%;NE`Hgk2
z2QTKu;b7rJ&BzK8Irw24;;LI~#Z?8Q%T3hpZ1?D@a5SR~RbMUj6;xl~^Af@PSgUYW
z9!~?`;@l}`>Fm8d$P{z74>^b2Xt@P%G%c@TPK{*@*<OiPi_UA|%^1icgC_|2|M_mO
ze!}d^0>aWaEPSTqjOq9nT7}FWp4_17(j7dzA65Gfhm85+FsA7T3ZE}%FXrz{8<10=
z-^wC?N}*R|UH#%0q3?uB*@F<}@0`EUPM~=IUl1sG=NzBt>R221USMuM;DQ4b_$)i}
z&}gY#LsvbLhcv1kpg7L}G$`7z&RPN8>PSBk@>G!9i<&Jsy#Vi>lT>WTZHNTZG4iGF
zfjG3RWz>23)~Jm9)Xb`ejS2d|R!@*dsoFGMW_aqk70M6%JZ$f6F`o+pc~B;qS~dXr
zBRdIgqAPN&ptAK~e9_+1nqbUZtdjxJKiCP^hsa8MOyKq`ssjmlnN>?)w~wGEbQ5U1
z4GQ0}Q>c#-Co(1&kn%^oT9i-zGo97-hQ72yk)~C$qJ7OKNaUr~c&~!FHj8!&70{-8
z;Q((o5fvviCgN5=ZnbyUig`6aPTMI|0EE00nqVqUCg$1{9u^LC?R~YOG16j_1m&>U
z5T}*N^P$w%uMAvmix^lsMmT&g90L}~E(xVED(F6Xrx!cS0d-U)sABHohf4pEpGLUn
z$=mIyYaAj&?nUe!UkScXRIa#*DaWNo3t@1Iz7}#%@$j_h49)w1BoDYB#48qXv#YXz
zn|F6J0rx9m3kY_HTYl{*o4-M=V(pu1#oCf;d4T=#?H*vKLl_lRze>r7tdmc)3fst9
zPF0>W1k$cz_N#L&&{msc3x0Yq@c^3yJ_pJb$lg>!!HmdnSC$AF4&ci?kEmL7r%g+`
zVmu?kmu^COBa6|aYP3a>tbGk3MT&eHn_;YxhU7~|){j-kHt(#X3tGa!qeaz4sWf+B
zF26^$ydRHShg}lDe+ep84dB0OCs1qy1%ZM99-ov2@PI0x<-8|RkRs%1qb0*V)XYT1
zaHz%`5dX&jG$<Aa@EnS)O(_fD|B5xMvCa>OceAy_T}-#+xJSL0Z+}n!nwc#6l}7Mv
zs8p3(7VQLzxkV5t;1+yR!Yv20+EyTv=bZE{pRB&P&1l+yqCWeigsM5_x8z_gUtPG@
z-q~VU1%W&yMF|*Nb_(_3$R}XTXQo5{4U^~Op(u|EFW5V3gTfHPVtM7vXcX0kFD)!C
zxN&(MT^1MIifjyd0327f@~fSsDVVc@b2T5ZL!ouLq6XwWsK&mRfw;}d7C6Z;r)c;o
zaOC5l`L;gHIg)eXWNfpeJR%l>eL|SKQ4!b=i)~Lhtm8Ssn#00`MQ6?JKrX%zQq&DD
z29c*?vZ}?E@+6NU*UghpRc1aJrTsdNfJbS6EGpX=2&&0<9pu;{N>lz>$~@Jgw7&t8
zJW6{UuUM4EuF9e`-rdbaX}1hK%>Pz9MpMz*kJO6JIJMH)jJw6Y<$bENN?b(8bB?RB
zx!|gmd{{yiNrNDjdqm$dg!HHg4tMyDVYXEEQ}G!Ke7<32GP_g%l&VWVw%wyriG>k(
z+_w1%5Png*e^~A71)Gjbrf0LBo8ev++uprUsj8=Wm7PGbA0P-6c$)a6#M3M|CbUrF
zz4hyjmJKB8Tj{!v=JRr>mOGla*gIQ{svwYeS_-1J*V+lxN25m6mItET&1~5FX#*l_
znMy)%&WT1*ZS=aE`908NAQq_%Z{`yO_t^(lESMWmsj6W9oSi^1a)LmCVB(V!!L0cS
zf{z$2ZCVf+{c7IwhZukcMH|**a>iCK7<|@_S@8%y%?7LQo0p#t`D;6YVr~%x3b+NI
zlyJ*t7Yv>-nl>g=liiBZR$V>*l^m?)di-g7XNzGK1oC>kXu)81Ul!?2!%=6!AP+^k
zCcoO=Q5zJ75ZbuiD5`NoUXzb5iwg#+|4P1#t}Ob7#)5%ztP9+cqRr@A?NDf)E@R=%
z?Y*7^`nHhISTiU>AjOV+4N%$oHG@M&5F}R&#3Zm-{7Dg76vpEEmoZM9VNngs43Dv#
zNQTc|r*WO0cQKa<zeWueDv>pu*Ll*eJiQ_$-$8*9!`&4F1Xm<Y)Ntk=KZqPSbPV4h
zaokSF@h-uk7f5is4-sDxE9fk5KYTy61D_s@oFL|}G-1Ym7Gtq_kY&~4$TQJ&I%`8d
zYf;@<BLl3#KVFa`LT=3E|6CZIpHxrFFSZW!TdK1x8h>}4p2|%9@5D;*T@I$gPJ#Fr
zBq}9$7xdklJ$y?N@n=&VkGTQ&(aNCc$$cA8E1z%wm*Fn(c2T~4e3Wr)3@e?@AI^dz
zF`orN*zX&SmD_GygcF&<f0uQxyr^z6YGv2|18BG$8@559fXO93&f!v$__(0lGnif9
zq?TGOT&&c$|F|ZG%$p<7#fcEfj~`@3cSd&oZ$Mvlwk>C$at@G*!JlH|E|d;@q?0lI
zp{#V6Y4nAln76aaZ*qT@MEOWGnb`xCYz~huGvo^}h^ooLr=j6;#F)$|xN<U+L#sq)
z3d(IFF}{LxliBsnUX7NmCmG||C#;5Sec!X|zpOIrm9vBtqL(m^EEFPqR9%QhX4gMs
zG-t<O7@50R_sWZoEim^$!{z8Ofl<)p1SW?}iNF+;tCTK36^%;8!PPe@jTV9zjX*YM
zV608b?D`K>5G|4a9UVdQaHU}hWp@2{u%e^ASCvg)o_gVXpOJCm{lQwCD6;E6fR#r0
zty&bq!)?(IBlb=c>_1eeCoIAK$0|&l02q5*3t;;Uiv;^J!jP}5+bfCOKr%p90OpU?
za&u=nR{I5D0={AUB^Vgruw_>z8@6J9bKJCaw{*PTI%K&RJEuau&00=v6PvZ^I)!X%
z{Imp5Rc1@Mn1$y{pHQ{7|2l%ih;6W@r%R{geV&Lw{#5#yg}qO!an?Usnqox0jm<Fn
z=}F-9okg%H?Dbqjb<G~g+T?P}SUfW+)l_cDzd=u)$%QikDuy<g!++cFzDp+HXH&i^
zrhDY#-i`944J;z@Ch&`7xTJ&&Pw;t5=b|69d<Ryi_-6psy3!am6-$!qkR|5HwUs#o
z=K*q!?zDMu!~kI)@=IG=<{R8x2S&N3brV)PE@Z1@O-u6)t}5gXdGe*?shV(FQUG}1
z)pa`0+=*904O>8pUZ8L%aF7+<i5FC8Rk#y!R%^KvQY01Td3Qp7w%L;FHiBMqha$!+
zb^?rDSsjX0Zx$@why!Xq`)W4-7E``!{IhwJ?4^&Q_lNK!VZ2}OQ2k<8X21LcdDIsC
zlXSKT+GYur4m2;;m-tPli4xa;9xOVYILEd!_Q6NK_wq2$UxZcUJvMfrQ&Bh^wBXB%
zi>O6*(}S(yU;y6(Z;1P+=>d7C18KvO({u(DAFjSf2|dydTf;c$M37U0eMY>U(5ctE
zouQ|F3iQxvI;&n4gZg;3!HZ(I+lL?fIT`qDYwtY#+$Vkx2Oan|7l$p#I?_6iPl4Pd
z^lPw@&@0x$Fz$u1r#(Eio6be>@$}xX+qi_OH50gV5KgfL{RX5u>q6BCnw;l%ypG52
zG;pJ)!6pv63=~C$jvK*d1Kc<OI||_dJ}c{8@H)w<J#?S%cGS;FdIa_&0IS%IhmkBa
zNhjN0bGQ!G58~&$0V_;L>A79FGaC<Jg8~PYyoVm-$G>Fm8h8hE7_Tkeyu`i;e|7d@
z!y633LBoec9vu%p4K#&aZ9zhUL*X#)593DK$|P$gp~sCUMib<dz>V}EZ#Q52>g)rf
zGChoAhyW;GY`P?LuH*LBhwi!uh_}6j?(upFy>j3|){%Cj?e)E08^{C<*eUq#{2F}t
z9uNuIjXr#_Hn;@NGCk-H<FJw5qI&{hs=4;C+ixhw17O(=NXXy~dT{U+nmNSo0J^;h
zr$4>bkGx?!Y+ULhOC5#}TZWO>&}%X-X~m5TK@>n<8*Ho54kEYN!GVZgPD_FC7wG{Q
z3~oR{`n<3Q#pgt^24*6Pl5+_?#u6LBXG|ftKa_#F!PeR^<@*QjMfDR{^ax57a1Mqh
zAO+nZPF}O?U%oj>5B9x&1HT6k(g-_RK;{76K~2y=@t}?$$Ngw^W#!_<i_85D$gR^`
z4hQQiZSTSgl#EsqdKK1SU4a@6`1CRCj>RxBGjM<Dx*J{y$Q~T5wG1+NCna;WBojj#
z$Y?q6;x$IbkGmZpF&n#0kfL_%C#PoUap1`=r2ZD-sk+~Y`oQ(@9s9%4MlW_RHT+=R
z@4!Fc--!->AekPBx-JOXTZSOl5dd{1`^|qgI$_Hd&>nC3@a^dqOgxu2m`VmA)ILA#
z1Brv6l;R+U$>Vz9y}&(T3%_cUDuydiRlt|Lv*iwZ-KN(DS=|6yzURfz+Ep!Z?anv6
zt{Ze3Zo573m}Ynn-Rt!(Bw!2Z3|A2#lfYi^rKJEEK5p<gml-o00YbnoF=$F)g*JSf
zIk^v%SmrK%V4K~B*4ESyI5WEzwAuY>yveW0&!QE1H~cT6vv?an_JoDlgVT}!ocrJ_
zpZFZ?$w~M&_LO*yI?eV0VGjmG>SI+WS+t-p*3iiy>W09v=rH^bwso9d-kzsy6Mp6#
z1`BDtV0Z1Dzs5df#y)n&KGQ<*8!`kxNI>wT1uU;M!7SV?$tb}@q%1=l!7Og<jck@a
zg}t=E-s@mT5!itZ7F)5%cu41TMrX4$*9yQC;55U`@jIx`WI4_b`W;>lGzJJpw;6Vn
z?69Iojhm|UY^KFoNtIQ)BGW#Yra_Fh@G7${@njd>2imq34pEmTbbl*^@2G<Sh44*F
zI(@sie?PF-yOJ}YFZ%8PG!SrW1d5&$R7y8<d%wEPL}P!@YjuWg&~@QDs>pq9v<pIo
I@|j!ye^6S5m;e9(

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.csv_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.csv_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..59e8bdfc7bf8b372a20df30e93812f2dbe77448d
GIT binary patch
literal 60445
zcmdsg3zQsJd8QsSBh5$}JuJ&MW0}H^j$5`gvJED9Y}v+A3`Rs|Wo!sWr&ZHkGgVjJ
zU7fCKN#j_c#7nUERL+v99byb*S;GbgY~p3J50ZsA$%b%tLqhf>gu@=Z@dgt1kcI34
zmVIQs|Nq}d-Fn@w>KVh#`W%m{tM22!-~C_rzpo49kMH`{I{Gi#9&}x=b8gmdHamXP
z2?o*Trr+qdolZEoIN1NQgY$!0G}*Jy27bTSa0byjNYQY;R<q}H1}6v6G$s$dRxm5_
zZwj17==mL$-5qx)+)XD3HFq)^552JEXrH3ZNA7#TI%<dZ0MkH{v9~(sux{<kdj>=Y
z6m&^6(Y2xGaNzEYChLk+cVjdmC_EmGwY-iqINqPPqbWNKd)|CMgqC4THhRqfsovCR
z*+Bp=;d#7cxB1iNX1^Q%n713Jd(Hx;=|`JFdl5ek-0kj+yVbqY-RSO(<`3N;IKAM|
z>7e7-^M@KY*1J8QLHmP4_ug0UIbA<Egl&6E&tLFbPVW#9930|=9%{k|NKPMS@dsqE
zn^4?rBREsX7qh(p8hX{S4gGm{T{P}>n$9^5I}WS+N@$q-D!}d<_<tY#e=YpK9~%ic
z^*m}?EgI|EUT+Xx*Y=zJmUF8$y!Jt~pC>+8BCR`dJRI14_j>oBhR>iXJ`0W=_Ipl!
zzGrtDZUQ3uAt5@XAnGp7A*j&M&Z6ZnlxY_rx*ianj3$AX?8Tnlbv0C@n~(UN(Dpik
zMNDFat{qx|eZ~nayVJB<zTFJ0po^UqxQ-K2m9w0E_l%l5X7M9{-|IPl9e1xnE-vh0
zg!>L)!_^D3<OP6xmMasf4GJ5TWZQ`V`V}+=;CkN!M?og68t)aaQ=+T)1H%tz-dR!f
zAeV`GCxHBofqHCcj3Tw#I?#der5<>oA&`5uG||tAvTI(a+Yjp~?Dei4x^vdOUDT3x
z>p|e%lh$GDxZiOOP@A-GUEnwy6oTJ#W*2&(e`XPbyYVT`<5Nk2mhGt52<7+v#F;f{
zz;+_j?sWXnPHE_9f}<+ASpJOJass-tRgNvA$#d=2T+p@AUTg+I0Ude986dYZC}lw?
z&kwFf<q-1%iXMQrm4gQ65w*WGiSBrGO$o-5aF$A&#QNRESl6O0z-tEqSfVM~h9pw|
z(QijL0`5cZ&mi#UW8mF~Nv%NJCaG=dhHX;ffChO_q<$v}{6!Oin~^|H-Da$$n6Q7G
zN7ybR47GFH37uZc13Rcezw{#$CM8Q;<Q0WFb^A(Dr%IyUL*-FVcf|HoL6Vy??~@(#
zsp5`_)^`TB&K}4b&p;16O}xIFU`JBA{Z1q7XSBrnIY|RNC2Rd1Q?1=>t)CUO?upi0
zsiL0Ni*lcpb|c!BP?-wAtzD<n1S?TL2i}_25yCy%6K$6HQuTaAucz3`g8S<%H2pTX
z1cPWpcL^LTco8mjLA#BU*bOL2X!jPK5Hy~u4jhc7IqpLZqN|7N3)GfNbG*po*fn1U
zkp3fd&F2&b>mO7-@L;Mr-!?So-)DLq@yDY7LKdyy+6V?IRrKE*iq<_&4Jr4pW0>4;
zCIF%ebZp$eEzxk$MO+`PKbfSC?O4BVoq@o@wmV55<TDwJq-5mrC<)9?B`|*1>Di&*
z)A%o1e^`-xI7RYxMv|lTenwze4YP1bEud#In(#U__R)0Z82S~G4*nw{xa<xyDWIMf
z?0ze(pRrqgCrMUxNzm_h{a#oP+IBDe>AsKStjB<J*<nR(3T2I5q;2{&Xx3AJ=f@>0
zMmM3XX#PwIH;9^8)3n7HmZ2I>KavgqDPzOkTy|jhL#Cua7OF(HXs#faFJ%SUE~YO!
zn`>>|CsodaCZq&JS&5G|RuZA}<_2h8sq09C<i`~a6@RvrLAp@&vG<t?%|}{PkcDH$
z0AfmxKWwhJIzq;}M**!^Z9ZqF-2_@nrj4Rfz{&l2wjT&kB5zQZUoaBNZidfk)h)E;
z5NQG$Zr5oTsw=;0rsPd&N`@*(L0}3`jctl`<W;_L*q70Vn?!o464mdd%zxL|!~(7O
z9mrHxD{k0O-C8qIK@KnBmjbOgt+XPIhbybU%gvN(z4S7uzui!I64GMzcfFa=d`T7+
zWYymoqLtEfx0q|F4h64dxI)XqP^{42Y$nnKLrMVi6`Gj|D=4(4kx-*T8%jepg?7eF
z$p{LK6PUtN<Bya=8=mkZ;2nyPk%(Mqc~06G^@g}U3|a@#6h<BVc?`f05>b$7qRJ@D
z{iZt+ZC>cNS~MbeFXB+F>F&kqkF5uCY*aWPoH9DpfPk?+VIpIkHTO<s-`;zd4f73i
z79ZZtohlv;!tkpPgYTZxthc>$5Qm<<kAltjVX*lqIJG~CZ%-X4QPe!t$!8L<cFcQ9
zXh8_;2!disk6*bn>?0}8hzE+%JuB7*Zi^<PO)U??Ja$VPJ+V(B0er-F=W@Y{+X$oF
z8TK2gwk5~@Fjqp61U}Y>5&1zrB2RD>j&YvFVrJN{!#}1deKbMwgGR{^fHsC^zXe6d
z!)O(4*a8JQ=ejMg;e~_8D8X5~*MUbZ;J`kBnd5+hdoeKxUp}ThK(RMk?QvWbSz>39
z*gesP16sI=ewms5=Hbj<BxUSV&;wEdu&=-m!OsVZ`8iuwig&+?#n9|y-t16~eFl4-
zqEy2<_sfvB6z8(fW2ri4ejQ(A<6woH$^Hm35KFQz!jpTE{V|qM4GF<<>`PbzsbbNu
znng%Wf?^h!BGa>c7;|$49;@fqaUDw&dZ;Jm+@DV~e`?~dc;0XH0+j#FUP8)d*xw5R
z-Mx8ToDSdO1mKzw!Cc&b{GN^%dUnfu$e~pL0`~>KM-#0$sf)rAIAMUZyBKw~V17bP
zw~m}YMtyoCp}rOWDHN<6)Y%ryan-Sn&}F%8d-90gvF07%8K>bbcuv!rU$VNe?f_c_
z^OtR>?e~_beHOI$jAvW6g)@YZD0FA1`0ypLAhd|{(U>drvGrElUb5^~;3rG(Q^8`G
zXEni#hk{@VWp?T<K2$mn1&bo*RM6@JtCz-D@kOhdO6dJpjLJIWN!FQ+wh2e5KHu^i
zr!{vd`kL(5!_>32DGUB<IxVk_uG3+Xj5!N@NB#k1rVc{XwnOdH0juHqUIX1wnvI|t
z<*N@^SN9y4VQvOjQ(pd~9@y<}%L(eheRT{f%W}L<Xx02qYso?(Ray5_-oR;r^9`PB
z!*BK5oj_*78N3=0$5Xkq&P9H+J4;i1k{ZnO|L@IIYKI)r>w$4h23QQ1*nVWNy;9*!
zCb>o#vA54aEJU%yT+AI-KLF(ex}yn-sOvgCSkvNIu!IJ*5Uffdoil}MR<O(*X6RY6
zGqIzAkx*rwb-jj*CG{K_q3|UbQw>ma#1NqCKu5>w4z+bKH+AaNDJq@V%{pk+#FWB*
zv6cpj5lY^&VUZ1JEn4+}c9@nrObPx3jz5^ngBg1MS#BI);h06!6u|*%A^h%PX<`~#
z4Sg=ILXb3Vw<^g4p1UQb=3oWY7FfUrb_KY@)0f6X8&2_oCOX{knB@ASsdD1s7p~8{
z3FeqmPFyq&10JtAz|S}0Iudpl7QrbZum0y(35ThMMyrLQoPHbbEep?PXHwBXcavGF
z(?p+UoW#_zQbf@SVHPq*<Z4hsV6NI=PXf#J&w?k@S>gf=%Q~%w-=2q0O;9zVKV@5d
z@s~w&nqutqz>60?SYV-EyzrsXi&s6z7CCP@g<P6uPdUaAs9grA%|m9BVn-f6#p{u-
zqtfrV?kI-xW2il)CYEM(4v-@I3JxH;h4Q<#(DU0|^>soI02OL=id)<{P@WB1)Iq*9
zs9pXZH9IO{^gXAja~rPRo3rQ<d<IaUVAOlujEJ;Sg*GV{SFP*_G)WG4%{t(GA-X8!
zuQBU@SL-@piJ%5W^VC|vNwL}5AQxB}@zuvgrM1TuY3(ruW1v<OoXNy$F0MRiaX5X?
z=oS1VvZhx^O}$0h_JD^H_eA<D1vWWbA4@ePHaj^2&7Q*4Gwh$>KRoga0v%H_?>Cn+
zl%heLhp@2|7B_Mdn_mZ?y`9Y-Oa1MsrC$~~&(^_%G&Dp9Ov<a!0Jtg{^d@-ZYP|<8
z`J9&H3GluB&Z1Ujlvzb46l~^w62(6(jbensAmI!)29IVUK&S)%fTR4o@DGp9S+$h2
zfS+{si{sG3>a2@)$VNKtu4@Ngpf{5i8;PdTbFw-AIaR!wDZa+Z{VI`LoK%mL@mO3=
zT#OcwC09nV7olMG=kO;NEnE)96jbZ?4?}8CG;Y0k;i4ArBss_+x+mI)0f*sSrJyUD
zLC~xB-!Szt!#+0zUF4g83u&P6&rnkKS@=hq9l;f`D4jqXXw}-VhRK5gEe(`|{U}QG
zfg4aEKInFkWKqN)%wiD2P!)|O3~}PIlCXB4*Q$lp;ZTiKLi~q<i(tQEEXl~l>{HAE
zQeG~FvI^t{Kk0a<<%PYVQ$3x8Mbe*soovZ$s*2*4U{?v5xt>TaPO8fc`yS9p>LWGF
zktZ`ZK*7a`k<2K#GBT4vt3YOQ(%mvT`zSc0WfTJJpQdWKZ0#D-3l(MSW*L;KVYHEi
zO1?=3E#(lOq%Ti=)M^x=s?~3W6$#NoY1S)d2`NPLgawXJGe!qLl^3EhY`hd5{v%2C
z&!mbgmI6&+&JlUVNk<l#^H6XxIwUX(nvB3?kSP$DoOIWeVGRXbR4O?LLAs{lLQo%q
zY(@x-MY4Yl$_nWCP55WnknhtxDLR$?d2^{B=1HHVr0iGWpQMGWv5#u+qD?0#AgA15
z^;-c-^7DKpP82@yXEBrVf!V*%>djbN(-OK!e4Jr_T7?XlznfuyT%ykex=3y%bj=;{
z1T+^2h==K7L)b|B+1v-CJJD{`X(FqJk3+VAip@Bd+Q<rf+FnyWAKzHY?WVp(Guxh1
zDgJUD`6AjWh|mjzl^HeneJaVMYL!%k+M6T~ZXQo6*QAQ8xgT^tlvrvZR}8^UAvUJ+
zM*nOzZy(c<qK#yy6;f(IQbW@-m-fytQ!NyHmR+EiGmLp<DpwLyeezN_8-|tIREK#v
z38+aj7D%y4-emv5-aoDX*d8P~h0XZ2Fe!1Z<e<&4E0VuRGSKTvH+ERnvE;LtKx^>D
zWNZNQ@9c5-lVC&k1iUG=iwD+^U1U#U>KwsA)L<>y8e(5sKeJw74yznL1TB-?EcAcT
z7Id_vAB5!4^RfU4bE=+?;l~I}jSrP4m8MIt;S+nX*n>bzv<cSvky>N##GkawQ2V{9
z<MZwExEsZ-lQSojxL8#&+J<CM;CIVttBl6NgjRVy4(c9V<0Vkzx0cT~o31mtS6S2M
z(KD-BFJ{|8D!^cTE|<n9o0V)(tXU@|wwBZ&+MA>bd1xdRaz^D^n<&TTdPgppV34vO
zlE6KtAjn&rWH#P0eC$yyCZ+r*-wcsa+6^zeZ_At&zf02bej^>a!P9L(9tE)yVqGY7
z#ce<_|4LJ^<|LLZLLhn|-y+;8EktxVADP5+RATB%E#WFopt_uW8Y`P&&z0_V#1_~6
z^)LrtD)_7-xY#?=43=yk6r#8_<`vCg!3hUkr6=tbI|cQzKg2&a{`ms_nO9E@c*?O&
zf?%8j9Cd(khn$-0jcS-GjW6U9q+*M-%02bC0mDpD?9Rn`Mz=x#1vo$tG8J>BuEJhW
zxmLRi8Dm7a#>NMZoe;~`q@vf}D4C~t#eY|=t!{2&q}bnKF)4GCbD99yzwO$tW0*5b
zZ#7>xvAjNuDT!4H`wCFE;$|m@SEapKJMu_|=06D@7-nd83PYo~OIetlFN)3BmDr`Q
zhO>0fO4IUHVk#o>GLd;${7;O9WQ)MGD9()ep{!}S5h~@T<tBV0(?U;0riBx{EYqSE
zhx{;1i>hp`nij1ArA>>LXLQr@=F-fpo0d1KT&vu)Xc(nUi}nfN1BE^rzfm$zrsYA^
z+UlkyMvA=yi&+WN;u+~F8qwrY5~~t+7Zm#PnU)yZwP9Lfdc~07Cj{nYO^YfZV_LK?
zip|)2u=pAFNa>!HrsXK+;G>ocio|075VFZIn`{x77R8w{Ka@2sAAm}^X?YT#$h6Q?
zk!j%sFUPdpCYB<O7)!gcLM)BfRBTk9TGbIWN&PU3GA-j~GQ;TR<TnKm4&RWbo0I2M
zu4oM*8V^$@G~mFH$e&8Q$%_2GYGidQ5(C734~t1zkt^<%Cq&-gfs-OJGIjtLMxRtC
zAk1ikl}wr>oquYiv&g#SQ5b6z_6aC-#jQ)4Z>4EjBRoXofoBEU!|ckm7_x9qQ${8I
zT6HD+Z&>gQ`&Q}RlosU~%)u?nHx+TEEQ)LkSQN#jF%OirC>u9Pi!z2!WKrm;$f9t9
zmt#@x;yc*t9oio>qFwp%3U)=Wuh_agy{fHCvJJy*%x-C8lG#SLG*<z0RF8?hLgk9q
z9J;Z+*_r_ntWNT!QUqjs4ytBXw>>dr>;M*%vORHd3=NJ9)9Jx6dY`1{RwF${HYSgf
zSii8{Q0R)=n0&sKmS#=y5RX3z<cHat-EuC5_V#kksH{%@N7cpbZCJ?+yT5cVOWU&t
zb8y>pLJ?ZZ_FSgwin%oAjk30<1*P!OOdFrb_Rv$2?coG3$MziYf;#wX;vAn*gJrL)
zV0;o47F(ZRU)9zp)reu{=Td2YQu#)=Kkroxm#0#TRM;abSG4x<jSbMYER0}*Qg4+$
zAQSY<s^xijnU@2^sIkYfn3M?`oA>>ev^*1Y7X3`t{!wG?!+R^PH&!a_JQTX(2B&~i
zrNvoWTtg=3g1~;5$+_XE-0+LLdtslEH}AoIttIQM2V0KrQ#$f3@+K77<<&DP=3u{r
z#LckJmgWy>s@{z`xT*Rr)xc7wO5y>-B*o1!SCutYe+HFuQ}yTgM5c<KicA$JcsZtO
z4voyH7AkQ=3t#k_xx_{)X{@K%FnwfI8zxTsFnhE$+0@a^(02syRSUR%OXZ5z44Sd^
z8M=Y)CDpv@wkC##{a-8wdoq?z_6>Nq;yORc4MNq6>PdxuQ#5Fp3f(Fvwn2cDx1M|%
ztG-ukCe?R2{!{5RtG^*!h_FjV=91IdvK^rMa=<OC`VK**T=m_6Po(<jsYvy4f|sNE
zUXNle&b%2_1HKl^fE8e-YrJ%|AgU`?gdbn^icmFSm_EEDx8b9!#W$5^YJDE!Zj~!q
zYuLuxaf`;P(nCtTQyPH$@}E*|uC6O%yx7~Zn3P{0hlXf<lsq*+n~I?KNqQEI^b~pO
zd6Z~c`%Wly#kF=W&q_aiE%6U&@*@KGVJ7Ah&BTb~zLcfO{ieE?J%Uxtu%9j6!_wEj
z3v+N^`(296Qogoq6&M`Fp)p^SH8{Tlm2!jg1U`|$p{F8)!wFuF!8t<rzd4<Tj~5n=
zYI3TCg%TAO8=ciX08KSwnAuT-?Nq+e4bP_qe^&FyKc#Z5@~}_}C&D*2J=;>B0Y(f9
zCEqH2K<4LnRm-cJpBOdvJQlMO=I2k0^c0z&JW66U!=8phSKRy*@UApKYfDba1btFq
zKg<MODohaal_gcAGC~Dk72C0IVKp=Czn1Q4X@)+5Ik*}6Yei})GbCFEW=L^r%pYaV
z(E3SfhBn|6nIU>AGDDo;<(Q#+;GVkryd5^&`l8d}7njxcS29O%FQe->VH4x+6~;d~
z)fStif4-W=LD^&3XLB1f%ryCOM3j@e#(N}yqp;_2oevzRa=Y~g**_2R1wMwWsSeO)
zxswOPO|p0n7@xV-_vv4fQ?VRR<bG2UMvDDPVA0~Rf;rxQxyl=@-M;;&YG2#-RCjR{
z<2&qfzv~y&O~nPs9?)MUfq%6EFVCVDT+4I_GQmbN?e<7@?sxkBPWF0p1^JifhzfG9
zWx_8yqiC1aZ3N!t4bC~*0KX+${<c&}#j3gN(FRyYxuXs4BLGu1=3frPp-8I#JjVhq
zJ7m}A6`ONM4qSc1VyR)*Arhov<i#^Rap;S7-{T!CqcO5wGpPzrb<oePbO&iQmFuQ=
z5uQ4q7vGijxS85~J{J{aK^Z5loC4%2a}`=gm*iMc%gTfCFU^!z1jBfDVN$4n-&}EZ
zh>UfQ2pnD&Bf?vWTVu!)e%aiDiqMVWKKB$GecfC`b&Pl=BZ2|9?g}h2_wW9|OsElx
z*ftr_o|sCSlaxv}R*{w3ylZfGn`<b6cC-<WBuQQc%_|xaaU&o#Gr21O$ZO3tlmLWX
z14WRElUHLe3l9Sa-eacKgvL;d%^pVf&NswyX0{7bt#~wG#xPvKGqCX_A>kJAi8~>Q
z!^YaX-{6E6xu2FA0IH#O{zs+18AGsVm}|yd;}1E~-i_4pk+vf;mz-g|RJ2RAHZgsx
zjkG8DxHRu1hId1iJluN$pJ<#-PetQwPVREX*|&O~1;5g;TAh6aBkL+_E3l%%p)?;c
zxP~)!)KoPuhXSQ>0B}sbg}5L8p}2u;;S)wyFpml!S9w?Yq6H4Z@MvWIv2Gt%%@n<n
zwMy~j*hzGMBb7B}`!qo-=}yKKm9tDpdvX|A>|Xz#nb>?yEGo!Cl5^7Cm&_GZN29_?
zcUd5coua=o(`f=CwkoLE@&=K3lwK@2?ANfa6laRFHhHjq6P%<+=fWpB>j!2UH7xb{
z^t_5=lG*#9&=og?Nd+aN;j4R<lTa9Bn14wioo|>+9G@o(01K#kI|f~|fJMjW@#BbQ
zwn!s*B|ec6q^ANSD3sNxM-d%`6~%BjP{XYlUFOHHs~GdEE5w*(jmxlxZ<Jn_EUQLy
zU3f-5-LQ7R5+@mJYaZ~<?2|&uC~&J*FW21ogu1QNFy1aTwoJZEO6bkdOL`csSoiA^
zdZWq}eQY&F(cy4Uej9Nb-~rcOvCFYpLN5oM@rxutM^#hv;-Y5PBZi3`!D2{*#sS{h
zYQ0XB*4#J%Je|xhzCWu1$dl^3Y^3%k*~)hqTUikOeE>2g&31A0*ELs=Z>>ZHIniJI
zqO+|Y{e{&*yuGE&{ku{n6$?N~=cj_Xe~17~)tDds<xnIQa-QMF=<f+CR%4W_%<3e=
zIO=SC^I7>HF+-Q%kPmU<;;;-%6v(*GTq;2IDRTw+Od~4DVH*5Wz%<ipD?I60fk>8t
zV$U`yKmRUObgEA^N2eqg#TAuvp`XvdTI@pqg_+oVSVaX{NX8JcRL6b8Ttjs@cqOAk
zQS3zjPcxw=C{nU$<n{t)1ZQnO+^DG(_WHw06b`2l-MKZ%yGaIPH$ySDt`ES2Wi@yS
z>cA`zK*Q}i4GFiN|46d>HD*fQl%^!QB<Od$elM&CZMzrJIX1xnPo`vtbplg(YCIx6
zk65=2Pm42KdFGd$he(eCT-ySc!`L|+!tOFQUhjaCa?U9z$Jn<+<)(O+z)8jv^O_$6
z#|{ANulO)(N5=7zL#Z|6C(>|gR_KM?;Z#k#J@Lp9*J+%#yal+Wuor~ZjW^tI16?Oc
z7sf7nXPge*UueO-VR&_{*HpLW!o`Mk?X8N7u1Hx*Seb{sI>Q!Avn+NMUiQAWx~eJK
z2VM1n%*7$K;TN0e_xTA&M1Q65q(J1uRlt;2{4HUoy<!M(3`98Rh7<O0a%eYRJ9d-u
z?hSYM!EIx3XR>q7#tTuK+^u1WYsIu7foQ$<CfWG+mu|d%`;QH|*cb7P{)?#d#f5wq
z;Vq0E^6o~$PYE|IrJ9o$jFG!7D5vKn&7Vvamb9C?!bal6Rbo#Qam7h>-CpVXy=S4|
zVr=NL3k6K(W~2-*1vew*q<dxN`n?omDA1yzNkOHgYly8%I-bZ?$_#to5JVAtapm4G
zP*U@id$)-J4NQH=Yr)i^tZ;L<4L9o1(N+P!%3ggteD#5=`AzV(q!g4K@q8U<(^<2a
zMT&b_O2A)IJ98xfKk3z&uh<)UJJ|n96<18PCIkP2$SY2&%K&>G5|_PB@BcvBVsuCb
z6f_wb$RJZ713Bqt6&Dye1nzh~0RL-uUq;uJ%gK3bhNbHsE*)PRf^|kZj77@(!v0Z-
zQpJr{Xrc7|sySlJ#C>6BDCuyss_q99x>@~Js)h{eo!gSEUd(U^g19g2FlHKJP&FUz
z3NPS3m~BCTkUzpbwjE#Hsb@%`$c+q%Kqvl#Dh;6<$Bsh|lRJ+M7X5<_Ug7@PB38rm
zo4fcdPU4+vIQ5fXrFpWST9~PPKUE%${ln5kjjF98PSX&5b%DCa$hy?y=ZB}0J&w>-
z>T$D55O>T;Us-N5GG`KpiOaE&>dEZd2yOrjYa^Zqt-;qu{3~b}pBAF0muFh&wwBXb
zgwsDpJd>}=S+BgNWlRRC<0xfGv^XN3($TIMk`B7O4<voH+n)foy5CUDkus!$^Su8-
z<yz&(s7ion8YP~}nUL?f5|clZ`s)SN$m-KLF+l8VSWIdnJYH@N&IoO+NX72{)>yYb
z2FdT1xYk%++2^6q6%XH}c@azy-6glWk4BaK&sTnZL7+V}baSJ$fUaZlBJdt=d694c
z3)s%OUc<G(d*HWst3b^NITbgu$!TDr8MX=ksd9eCS`ki)pN)yu<pyO|%z3=B3Wm}t
zxdJoo6*5&2jnSOPOLJL6#_0>bs@{$Y5&#1ntU^4w57$ACk`5y_vZVX4r$nj3eUQCc
z$$gOWs4&mE4?Koqyyog{KqYq|-i}YSu7sXm9tYxf89%7vLFj8MZ>q4OMAWqmA7Z-<
zyQ`weiHL1v$@s=k1GdFV$-LO1t@1`6UDazs6h<jKo<9eicZKc+)zr#sEgwx~Eq2lL
zA&cQ2-KrDCNPBY8M)5@PlV)P`XGcW^sh}+`?9G`de%f4vHVIe~jw%zyStyDpihtWo
zs0oVLX-kJybayWnANFpn3z;*{$y|81;_hBXZAgD_tq3sr8ccLeuEXb+So$an01K4^
zed(o-Uk5t4iTVaUk%^+Gm&Zii)^pG;t+?<}EqSam#^p6F!#+JG?USI{>va2JT}@zV
z%N+4&C$Y-$fQ2?x`)1gh9_JC-UCTx*dgRJUv9c$&j1#hPV)Q6}Di4mLUoQz3la5bP
zYn$!j|5kZdxd$(SAhQ^+Qe66xb(ZL>c){boQlyA%@jA%usch1D&%94|`kw73XQ*IJ
z<SxjRG_S?W+kVVkLB359738ca!Y{h>rmcz0IZ~~bo>T%09s3eVB<4~jC)r;QV3f4d
zaYf};zPvVrYO&MulV)P`Q56+rotB&_<p<3bRQFk^j!}Uqc3C=RI!!>tjt99c`D@$E
zoCwyq?Ao@UHxg=G+cuPjYHQnm#Z1WvYuh-1DLge6kuD&vZJUPLL3hOZjs}sMB`aY7
zGs<u1skhG=+gzaLp5dgHTE+W0a|QW)C@RQNbNHn|&F#BaUT9@PN<fsA^;jz<)!(0`
zYW$(Azb|FbE>?ekV<t8qZBaoM662`{NtC{Cu2|#wl19Q<cR6*L1+G|KPVPwZRjQXw
zz@@}HUtO9xx`MiVm61@Rx*SSFHFf!FGbJOaOHN=4PmOhq>hfjU=I~}?D+?6l8zEC!
zKkyyq3i3HmRFI<}@k@b%%nxy8#lA=rc2h;CWJK$zk}@7wR8F8<8CZ)o;Ui{Z^I;Vg
zWFg6mUj3rEhU#!siC$%)DAsKsH4|!rA|;FYy3Ndt6?EHg8woY)wxKjs(`{cgQ!;{X
z;{>Mg)OaMT+lHsbZ4PmOfo($@oQfQNAL0)y9ywGK#Uf}R0*8VC3d{XK#65Dua{3bb
z{U<1prDk3&zB!k!Z?Ub8bC%*jFdwVtUn}HLJ_`FjcIXWIuCZVBu`IR;m&32_$!`_4
zA<+L$v<^(qoobiMiMP5ihYhE222Nnvtrn~Yhr^)od}s`?9TE{U%kDH`Wn{NyHz1h@
zv)^9mPT_Pog-;S`RZqMeMaNw>zLUCaBmPrms+?`W99JFN2>l%+@<Z4ja9I^f<%INZ
z%(PdE4tNbKvOVDTRM5+?NnqYVUf^pSELa#x2RYzcqtqhlOuS62N6NfcJxIaRn@WSC
zFSGkLaB_Crz$}ynyq&jg06*zml8$dx+BWcpRAI%A4rmFvZQv*oSDaM$i7IUyxCaU@
z#)g(mD_}B9rZcz{ESb(pw=c78AeU8CcSj{NfLNw$D>ijp4a1q1L(s*J5L*apl+?V1
z-~{SEtJdzfLaz%4LgPBv01j3-NQw@2&1f<K=Xv^Mp15W5IzdQ#3>H9V3hjt<89cC%
z+*mL){Bi+k)!DX~eTq3iZYg+}+MO#M_(`wEEFIHHSY*IF{aSTA$@$}{DvDd8$;>Yi
z$;C-^nPKmQ#AUY`ydTmQBStc#;L6BM2CV{_$w_w$@zqG|qu`8|Q3%LZnyTTlwKSv`
zD$3T)(xr&E=g2o*rx)5@2Zc+>6yc>-p{Gnv$#pA#1oZ3NUCd9#EFp#H3xq|k5aB1i
z8nX}$-Iw!Xs<>jRHGz47$SY1dvcUWm6kLoB35<d!BQP0c3Irx6-8E%cBNmNP$w3Ix
zH4PVnKNx~+MhJ{W%3V17N|Y*gd7vYxFZxI?7eNBVE}Wf|bj21@)^;TsyO_O@2C)lg
zA7&cjw`!vh)4>9f_&CFEsX_^@ihM2PD7h*UDXs*txrfE7NIAlgiv!G=#HI>4I#vKC
zmiy3}6K?Jdn=0N3Ou!eMG@xO8!3jMX7o3zK&$YRlb01Dc6F6btgT2bpI5|Uk2Vvr8
zPFGjaMNetE+^t#6YVK{(X4s~65bXk#E)J-pcjTH4Z1-A-bnQP$=aWvkGwwz~>;V|^
zZ7{JyG!gjyUIQGp1Hi}b`e?e*@AaGx98JOBACI=mH!avOJvbh1hPVR`m4iXFv*|bb
zq1Os#7kYjtbUMvJH1UAl>N~+eosYi#cr>X_Jcay|&<rOC;W~8qv4vMthq6z@&nfY<
z-)q6IZK2<QJ2M)m@hem}4s`XF2GOns-w$E0nxlO@wm#YxIE}E=Z`aS^DFOp{GYxBJ
zylx#X!EHm<0E(R9Z=9AxZ|XRruT!@H$xx%n(6R%F48V)6F#N}ZI$F*dr!_dXA)0dS
zmijp!?S#MqU=`Y7Kah#Wqw%IQ-(Q66(`W4-T6Vmc+_Bs6W-{zSGyxkmcr=>kBT{+u
z3LIqI4;K!;?qJ|84x%fQAL~x9=lAL^#3Wiy4{%0O8*r-rcE2Cu+M&3VaVljH?M;12
z6~TTLcrlvh<z{nVnf#E-9PPk11OSvPA|!)oTg&b&_U%On5N|qzXoJ%kM3?lOhTm(}
zn@$(_1FG=|*olVUS%78&B3`rJ?KunHIap2=P22s@ug9;V4IVJnwr0QGtt-X@VCe;n
zLY!X5ZedStr#FCZC&2EHUv&eg-}LL}+Q?EnoO4}2aO!$a;*v&KKjQ^n==ZR!deaN+
z`4%=rP`OD8gnJ;`3XQ>N5nQb7cOdyTk&Kpa1%s1=Xb&yqf>9Cpc8~`821{!~mv8CW
zXVp(&(VZw&z&W@%3#6d!g@ZS(`^)c*N7G%WTL)MikVXhUK{Z?P4c&@@;t^SH7<PlX
zLx;|uJv-Z7g1cclvwm;!P}4bc2vP=z2GOOMgGhlK_0VZUC@X}H*$nRw?z`bNfb4W{
zp^>Tv-^A5iDXR(LZt!5%bHW9x#tqvosA4j-=Rt~^p*uLXIob<6*@n9+g?K9R>p>T|
ze(+edBUtK$_PM(2ExIlEANY5y<#&MHx6)ZSb#WNZqi{w}d^S$K<u~jWfB?|$ZMZgw
z5Oh43H|R=&5K^D+ccF@DP)eZ}Lg#Tk@ECB9-@ub0W5uuwRYlOBPo~@9wC9~B$m$Z*
z<vLCXrCr*9DA4J;)3&`<-EKB}4rzu*qm54I%m7SOw3(|2kV#-KuhaB^;lnyVew!%X
z2^9gmgrF&b6`IaMFgOoNEb+Eux1o9P8cJJGKVT)^g4d+?oA4!nW=m*8&cL4_n#9*M
zP>0O);dtP_>O91$@H<$O+uX@$LYxJzRPs2CPH}OcS_yg^g~RnwZ#3=&Z67!m-J2J&
zti91-H7;U@a||)g3r&T1C<MYzx(n>BU~Zw^)4>viCE9g>HUO;@n<Ux(I3RrJ9^xW6
zrv@0yZdstwd*MM;u`nz{BLS)uZpdniS1Q_DIiGUdDM0XD1hzsP7lOBtLpSKu)=clQ
z<A8u2jVrS?M#ITy)7xHu;`lws-+)qw*8JE`<p8iPkOe#Y+ep(4`!JqQLZs0bKzR?u
zVX<6x6#x7J{`n51l|gmEQ$KP{cU&R~&)e6i^Ei4ucR*9OL5>8b*tRUD@5Q$nOxYCV
zmT+EC0nRG{PArn0$3HKP!Jn~l_|wHdXYkKg@XrhQ=dKC(^G5vh3H<XM{@D$eN3&Pp
zpY!<V5&VOfYBRieo8d*R3@>w~JM$Rct4HVM)8#gFU@)C#OlMxvv0$`)l6Jn*%6f*Y
z?-|aN(QH~DE+5piI;o^>4G;Vt)M=om_!~6dG9A}_`Wv1ObU0Xn_PpOxhJuprPQ6sA
zCle)3%33MYu0;7HwdnX=nl4LxSr<)#Ytiug=r|0bEe*fb0&NX#0QYj!5%K;a>e6R`
zwU3Pj?-`r`BiXfk;4}z5f)&@ytbf`49dI<DWTy$yQ1E&<P)cnSeov~0yDPKukrXS-
z!GathDE8eL36(JZ6DLmG3vHAG0g`sf&zB8V2&j+DSloISSntyo8Fo~mfzqe8H4h%+
zX*wM2R;wRF)(4*%K~s1wtBfS3^OZ5Jm&J60z;slV0N#WdN=IWWaAN}xoJxy)7|TE7
z^iZYaY!x}d9&+{U)LUWPK@*!WeF^8SfhP`rYj4R4opW#<h10P60ZeCx*9KPLTY(E>
z9R>R0%U0Wq7oO1TOLoxt${qAj*$!GSnSSh^<9FYyj9?Y5eFgLp+6yPzrN$b%Vu-e=
f*W?jy@j8uGzX>kBzliSZR1=3oV&uSGmf8OYjJ*k!

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f605b792f32784cc48964d8632d8947c60d9d097
GIT binary patch
literal 17090
zcmeHOYm6PqRrYwEcg8d0$L{bL+qtW-cvkC~*+?MB;AOLG3q%}^BQIG+vP`>gcipLO
z_wDZVV?2|^$|ADC1C@lxy@>*wAcT1AkAy!+0mLH`3KBvf@sI%VgOEQcKN652Qiv46
zcdGh*@9lf<#6kvP$urZ{Rp*@g>eN@&r|P^m`^FbuIwAjw)zIgbd$6UOrt6t3OvHle
z8F7!fQSvZ(=4X=o$%beJ`n}ML1A`^v1Zo)Ea?F6a$?Zg}Q1!@i!mYIZe8`N*^4z>R
zpXGCW{&up#TVgh{B8Qb;iJ5D9q$l(quV;Re9gyC%^z}sQhk$cp&ex$aO86Pk(sC2|
zw3tgR+Z8j8<+5Zq?&xAskD|cp#1VQ#J(#x4kgT0I96bzCh`(oDy{G<KFk`=X=;+4X
zfOV-(EaoG9k6tBwm9O(t{5+rL7sO9(zb|A#xP3Qtncmqp-l6${XQSWY_Kladfcajy
zP5pXr;B_sB1=}z<+*XEen|Oih^2HWCpn+~eoP5{{LUi)t^^<XjpAfT_YqEn9UJ6S7
zHgt+V1<c-#|4-xpCH#MeItYvcOLl8R%=o$$B;xyfo*6srN7~Jr6Y;dFxH+O8pWBTR
zJ?78y%@QVJQcSu`kK%x7oj`XDUV%kEWU$DGE&p(bKt$)<y|&jK)fXT*1q5571;5ev
z0^R2&6vYo-_1s9e+_2r%jmQfQ+tM-GG!mp>Uk@xV4%>Huf0(J;Qf|6-+}4FVUj=S2
zDqq^=7s+FXjwr$W0$lF#gEt#{z`Ui1BAe+$J5zPfxe!o;4aC+p%!2lY8Uo85F}BYn
z;_b~ID&-{u-BiJinKc8lGfFOzanuPg8s2E3g?Uf@S*j!6BtthW*N-EO=C9`K5#MRw
z@QLtr=hpjN{JsSzz1-F;Z|kK)@Xt@&xP80*e0$e(*=5<YQvDa*!|FRNI`mno0z?%R
zJgFuuy}o7{QTF~B>75(s+N$h;?z&#2*O*w$DUdTy&K?WboWrm><GH429rT=?(AQ~Q
zSnvY|PTXe+d8`d7-IOdp@i-Af>KZiXfYd346xKeX_-wu7v*K+d94y0cWW6e|9~utq
zhFF5jZ30DUi&!Sp<Y38XR%UtrLH;VCe7``M|Fq;0^r<ELRPRt}nO*B!U1`ie(PY{J
znWpSoAo0UZ`uHG|&PtPrh<hwzfn#BbD}nvV$8$pE^GOjxZhqPHcOKjHT)G@+q8qI~
zW~(*fnbY-^SDoy)hmWL~audDmN#sSJ!;rltr^6F+oX8YEc8w_RV~?qw%m(~b)%wLI
zt$x4OKT5T(iK%u?)LUgy{PWq`BAyz_vpJ}zeCE<Zt{q?}R~oQ%`?Mw&GFdg<|4`OF
zd{xGlm~~CBhb=@RPWp$~c%gvE8~aK*YZF-|(t|w~fgN*o*pM9VsC`x<E;iE)vFhQD
z61Pi3^>+a6Z!lDUoMSR|D<6?twXXbYLs$O1&kJZgNc7)lqI0Nb<*HT_{_O_g<^5<0
zC;l%5Nc^i6cv2N*Z1~r{lg`_xr%s$`FmaOpPh%0T_TIkOEPZkSq>f3ufAVrW8+`h+
zG9T@CG@CdH086F4OijxR%~~c0qM~b3K&J2!L?4pil-o5!Z#Ek`9FEdd8!r9MF{QKW
zPWkuyW@X0BgIH2h_L-crJ)Z?SK4nU5C#Igy0eQX#$Ojuu7E@jyW!neTM6DG=>}iQP
z%avc@rR9Bww!WDi>Y?hYA8$4V3uIT1ok-i)otRb466eC$_q`y}!k!*PABa8r;y(gc
z+8@oWt)X0U%4{R`o9NcB0ngvc$WMGPF>`6BUD~P3u56Unr5UQ5cThf5JNQ;(2l>EZ
zw|^ats#HI8@wLCutYDybXA1g<QobpZXQ{8t*+O=U5J{ovUo(pJu8PE8G#gqPn(_+U
zuyPcNMv{g7XMKncT|DhCHyb(_(NsY{9Mb@+HvhiftYC5^q>kf&Fr3z=PENjvrYP6u
zT%(H*@xZua9|EL&N;Z($_cR)6zYZ~VYE9W}#4LafA1m81lFOcLw&a)UmW(8@)W8~^
zCHEN4Ve;d&A)?SnWG&(@*&t)HQb~0pUu*2=5K4O&8jVY7H=7j<o`9)>0S-lPMp7C@
zTPCJ7UXwiDN5dncG_w!U;gt4jv!R0#O%)8FwEkW3QL}=Q&yGp%<L!#=eh`LJ+MCTb
zHi1x^f`cio*#jq_wBKnow2{(A+AtZV{b{o$$DlN2U=7cbdkm+vi(X?4w2#r|)A|{o
z<<C_%`=`b(4q>x@M5A%p>}$;m2D@FVU;vxZn;~qrl5fytaCl-mo1U(U{vV~Y|LTKu
zIGwFE8#)-$R6#$T%@A6(E!y`rYbZJFn0%&`jNYU5!!VrCeyG{VCKzfHa4?}YJK+R`
zcB9eIMnW5D!(@b}H(PQHLQ@9T@GSX9jnGC{{8fCArspSVWWUtrwob>sIMha@HW7;y
zoA)|&`kYiw3B=sEVMhK{J|`BsvE#@PG=E63Mw4G4)z_zBicVw$uFFnL44j^pZwO=u
ze;fQ=`F4HnB^?LtJ8c!e+_|Gnyps~rnwU@D7n80i;_J4k4N?)96sv<o;;47tv2ePe
zJEaJS{V5WoVnTB%NLA|p<(i%<-{A~hMvzsE7tz>F6^*R`P0@x=lbCh;4g6|4%@uPp
zZfuMZ`YlCH?caddB6yldn3o`o9r%uASW$8$E8Noq7k`$5%=YWlxCkWkhn3K4hKdR=
zUl5PwX&pJC^oY1qng_MJ57Yykl-qwmLm~avKB7OB>lTjr+>cd`{JUN-=CS|e4Rcqs
zzeJX-+kcW8#4n6{?*I6X$3Sq`ui^?t#M&9g*YHKzRueD3KG9gGfb4G-WPd#=WcFWC
zi;LH%f%iZg-*_>OyiF5Fk@BKacD<ub$2V=O+s3(hJM@`hbuDJL$v@;lT$@h(!>z@e
z4A%m1b0p%dje9%@yUJtz^acrP7j5Z#IxUBoMQX8U?K5@5p<NN2qw|<rSB%S7)VO^4
zxZ^Tg9ha6^1kR4B)sBU;3mLdHCf}D>y?B*2t)HAOzBfB-4zrzqxhU@o1g+cOnxrH4
zH&ySyLBG@jNgn}uCpw;a*k>tTFLkiGvS@fGThx6G3s|qedBI)hYDdED%}sR%ME5>c
z()CZnr@80umE?%NBja>U>?^NAb74mD=V-bTv=*g~ZzK=w-vvH$<*|Q{kfI%hy-w2B
z?eD@bK(;1k+h2L@Vg1~S-j+XYM)Cc+{e+ZPUAJpz-1b?edR11n&*4|LPf3qC3y2rw
zq|I@)&zCCW*3gJh|5Z{XFA0t!c>7sYZ3OBCR2U8vy)A1R4b&AW?~wtuOjyWhVc~^U
zv`W##)Za=aRZru!-VC>LG;U@iZuE9C-1J9_+fo{n7=~INqewB!pR0&{wAPRB1hJz=
z#OUp0h<#*I#2TH~UM2(9?Zq*qE~u(R&m;DV_P-M`t=s=5tJ?p8UsX=nu>Z4ECg#(1
zKU+}p=jyP0kqj7%0EiOP)#MMUQNEhkEj(6jDZZ;xz8ZD`SZ#vW?Z1SGrVkNPo?=DH
zC&H?Eu)eNf&30bd(s8^yqWqS)B56i`cCoO%K~D|0r?1hDE5H1WtD?`1(Lmk8PE}Oz
zjpjSZydQU}BeTI-Rv^xh_L?w!dv5Sw%&VLtbF^HQ`ZBE+R{d#ew#lD1_?!GQm5<RZ
z)PRe4_P5Ecq%VrkK6aNdYdFapnRj!X7T<&I(5-R^b4{Gwsc#le*T5-)1nD%vT}KjB
z#2Dm`@4IWwhEwObfjz0D`Ky~|Chl+9WHVOv(!G-5G0tb34ILcZOBIY4<9uhchEfb`
zTqtB9^|(+Bk8{4K+0Z5^hVxZ6S#VvsG+FFb(p7cH_b(zeee2ar#q_<j)4n3-aa$G+
z<|I4xT#ednz5C@GyF?F{e)Mwt(p`jU_CiQ__5S_K?TMwzbOt5%$0@VnQOPyJeI@nk
z%db2tnYcFlffye?5(Ipf(Zi#Xt?vh(68z#TH*Y*DsS$FJlvK(_8Yne$)AujKD{#60
z{~cp;C;mU`7}eGLPBUwj=yeno6(nYV6U(|f0<b@X&6fQdepL1V_J>h2@^Uev{txYs
zP|X4R7Fw-v0`R|J-ymbd-%58nIFEXO9%b8z(VJ!a=TIH&p9w(xIA{L?a&_J!?|HZK
z&1L<xCA|)A|18E_%p>M0uY=nkrbn4IQF@+tJ(bx<R~5M?H)(0KGK~yZmDl4L%4&5k
zqdpvv&{A!(q0TJQ+vrvQcmSL1H|WO^{rDvP`1$;=U%+2wyO8$SXVeD2k_JOqmV=l+
z>sc-$^=uJ`N7HHx$}b}(i>$_m%~qDm$uCpeDY0V20VREEd5Y($tVE@HiiMCx5$^dT
zZ}m)`h}uQ;3&&GtBIaJ9E2Ci%30vJ2tv%+ZH)ZjFWr>B6-t&`PB;d##SH$StyLeno
zALGEm({kh)8l{HPTd13*L`&TJKil=Z2oYoCG3GC?Pl;v9f_3Abc7VWdFG0x)qH>n6
z8D5W)YeR@!S0&70vP8RQMLhpBfX1{znz6boPElehuDUvGpE=3(lVXwUxE7l}&Wbba
zzyelC`ijG%bk<~@cn|7U=xm5`A|RLPJ(RSf0J&Rack)22sL&#F4UaM>kiQT|-OV4~
zl!uJxt1mSc1YV$V-8GTj3Y^JQoIi?HFODcVu8=Y-r6l4)?M+RD{Utb^SW$BOTc5AK
zs5KU+sShE5;(*AJ`Dn|I?(W6<9s}YgvNBF0U0Iw9nBfJcW-`hTff~w`-9=KI=XP<H
z3Pdausl2Rf9pE!itmrr>(262)(t=Yhn{m(Aa>oO(vcQ7R1xNxUfvd6v=(-^de^KOz
zEH*t2d2^_B8fSN2$h2}x=_Lm4I$NPdm$@NJGp$hXAlWdtaz2|7{IWQO&V-l(Dpv<y
zlU9@Yi89Z5O=c=0*Odj74T!NJX(onz33=W5BV6<h%_?|~y9Y;ftR7Ak-+khrzcDLT
zeC8t^x63da4G9?%Y<ze;tf%QA+B}N<aA$k_-o1NB)s494Zh67pw#oLlQ8V05#FNxQ
znt~P@;@lXhNG1+4fAi_*egMd>1YM)1hDr)G=QA~t=ON?VVo_JB;Ze_lidLj|FpJEH
zC)XFm1^8r7%co~<zNRu3kHqQl5J|uX8n^biga7c~8HWPr;*`8iuBF$>AK;Q^al2e|
zJVVDp5T%e`FgOkx3=F)QZx~7mA!^@^eVoHmcDzh^PkG=7-s2gT+l3Eg#Bi3VB8)rL
zdZ$^h!%WQ8L+IiRNkm8DNyG8<yBb5<k)t7F9~qaF%l<%2Gk2d7-^GHW2+T>i7giVx
z4j*YM3rSjh28!S=5mNT)%Y@S0?}NlDrF5Diiy^I>KhViFWznPhJQb?H?O&l~<4ybs
zMT?4Qk)ulT#cs%-LZ-TWk5%Lf4npSAl&B&>puR|7k$ao+iib4#5O*1p2Ur&Dg*hzP
zk9j`yZQhl;H2F~(i{-KtN(7g2VlQVbxw|SMuF2}Dp(>ZCdT=>7ZLi}wxnIkwPt*$Y
z+O3MjR;E=pI$M#CWh01aoqDn^D}8f9EP@FQFD9N##FF9RKuaE=Vl|w<nwCGr(7&GC
x#9YSy9_#>53PHk3VNQsZ;-$P;y6uwX8cuA2hrB(SV~Zwnc1mxwm54iA{|!|{94i0-

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.data_utils.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.data_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..59b559361ebf99553a2d90cc05a30b21f19eb9a7
GIT binary patch
literal 166492
zcmeIb37lm`kvG~+uhkngn@Z8m1wpEzyBZJyTlQ6iX=D?e{+RN1-BW$<q3Yh^F1;uy
zd=4sj#HW-CijMkp+;{!lKt-S1bKF;CM2B(48O7yu(0S^pFCw>-nI|(&=IN@Y`}YmM
zAJtXoWM)MEGa@oGA~Mg-i(au{-u!v^U$%d5y4h;)9IZDR?M@@<&16d(o$<j`((cdP
zIkWDTnVV)tvY~E$N3S#JjwdtOJSZ{VY)v-0NqgqHnQRpn@3$s<qoV$jUNYWqb=s<W
zb5V0~bIElxBh8^~QNPunOte?ovh(ZxdhKd#VFpV<p@ml^JCVBa?$#N`3p936ws^V@
z)cZ5d)!ERPVz;><TP(QToGqMewUe36gRS*!S-s!ywzdxX&^zqSf>xu4oG%%ltoM5G
z5Po0Ou21pbmNo{{`5#;B<JWhS2`n?nmh|h}@YPIn|K@OWMf33Hg65j6vGM9&((P@$
zzSmCbTQ`oMI5yqwq<}$h<7HQlb(85%ZzJ~c>D|smYclC>1crMXIinjJ@B)gn7o+$G
zRH!$gIsOL+w%dcQuDxWx!Pe%yY*DM-NOo!na&VhRK-Zc_0)CH&|Br$HkA?r&VK)J(
zZi{tpBwILLZ*^y~^;4b3U^011Erk9|c04b>A*gh7@#g+aeb79<xj{qe)v+i|B=!EF
zn~ZJk*4yJv11R=~1d9K`ftud63BiT#wzt(f6JfmrWak62L)j2WRef8xKHb#N&5k~=
z)9%+>?OttS&}M=SzjeB-?V21cF1d#W7S2WaJV59iE=QZ2Yf)Og<A{Ks1>&}M11U!w
z03GGVLu$XbW2S&E?!nlBg~-lf+OREYC*69#(;Zn?8)>y`To8i>cHK<&#1Mhynx+WN
zIOUg*4yfNku#w}Md`Qza4-6r^8SAycM4;emWwLXvzOX+hTfP3K+NJPw3rOsB>uMX$
ztX(9#i;vdVHh0<y{|UOxEa<#!1tWvz8ZD7D(alBKF+rV`k{Vb#7uCfuw3B{O9m$qM
z*EdXqT}HmLmB=PDu<Y-|FiAr@rzSV`rt3JLEQKmyKes0{DB&qknGlBct$VA<C`b%y
zF383Z8yb6DR+)n@2f%)8B7F;m^io8c!@Lwp77=dV*t`khd|nP`^SR8x0GkIgHqqEk
zCH<s}a;VGE!7l0KTuUKWb;Ih708u6ns2yWAK0}J0ghqQ}qVjisRI>T)nYu1y*!|Z*
z_wQmub1>^OlAlH^KB!wOlx+ScNgaMOslJb*I$fmt9zpfcY<|sZ>Mp&h=If<}%!ZU1
zU|b+zE2fin18m{gPFR0vIE(52&}<>rvD*KV-oAe>fdySM(dbOUv^JCNH@yoM3Gkr5
zYZ~-%5mVY3R-|9=ZcF+zf)q@UyEbtHJd+(AVr@{ncWvSgZpH!m0zmUw7?Ag>p3mQ+
zaNlBe=0`+lK2aEJL>-&{qHJ0LwE%3X)$}ijruDUxhEwx<IY`a>4R{y<9i8S613J!4
zdK0ANI+ME;*X9I+-o7X19Q%#}MnWH~a$1L_-FOv%c_+0Rkp*7{1%<uN4Gf>6x(Q5!
z?VcvO*<q#gTXFP;R2>VYC(tNqz0$><7)Fg!>0qWu0rfyZPM=J3>Kso=pa@7&oYRYF
z0`X9UNwnlK*XI4!*Q7e*uZA5>|C;795{8AiII<`-X$k>2WD7c5Q_J`<LKP%}1mi}U
z)mZ@JcA7!}80ijZ!mxB4^a@yjjbod8hqZeh%_oIKsUb^i*tl(?v})JYalZ^c0azM<
zzX2CkAONs=pD|agi{s|K=KamZ+0u!@<Rn||G@p-?U!%DOZR92MfuTCuceXO&#&R4s
znYznG?wUrLXUq94+jv#|`lME`;exGJZ#Q7~i53=~sLe~Q)2{WK2`e%x5s$8?)HeMr
zgD<_09wJSYu%Ea~-G|ohI3DRIMGs*}hO%W7tz@z>W-W~6P7j<|?7cRz<*!6ldyTv7
z>2kF#oLq-y`XdE6G&G$4V+`8q5BLy$5C7rvh4Yf?#MVw@SAkPas2;CY-?b6!Fl<9N
za0vtd3HPLMmT^tGYO)0zhWg|fyy&#IY3;(^2c1_8GNI_&6SIH64enpI9DQ%o$#`p`
zH9qqq-R`6xhgPgrR{9?ti(kP%fWe{Jezg&6hQL?)(yFjroR=LSJDE&PH|xEYv4R1&
zB0A&HPYEk<_J`TI{r58o_!r@zD(OlrJ)ACsf2h@#zJTHDbp$5aIX&4LZ}n$x^Q}zN
z)zEOd0DinEU5LLTXz3#OO|HgMh1L9ZWl$ZOEvh|q^PTpzUV!w_Y<~m>9dJ^B6h_5Y
z(0#iF%|2VsOm1F=(}&pz)7btDhk7_g#TaZQn@qpMi++<8O}`8ONTVw>JAFWVmMytL
zENz7xsJ~S=nI1n4aMopwW>@I(MOaDcar$$OF6Twl-2*`zr)m@3&Xh9xQZ!w!6nB~H
zEkLy;hG8)C!|An9gA!bnaWM|qu~{C6<$N4!Y~w1%!g!{7%*JC^O!uT+-Hw$4$74v%
z!+aQuYj>@L$=e;lyy><eJsPSpBUx?>GL1HE5^je^O9qt<{tL^?$-zeyqXwVW*RO+C
zfb_{pySawDXX#4!uu6R8#YYspc4n0k4k#?#xToJ<1PYf4FSP^~icIp-`*0MPCr<l&
zNxQ=%HMgPB8e@h4gGPeaYVPsomh5~bWMiH77zU0ixyDZk@!yOVXp!FWXIWOWnaBs(
zWTB-IWPOY;wl~$TZbQUy%UG*3dL@hATzuL38vb?eE{NJ)e3|VX=fz=mSzp_VC9ZS%
z%CA?{1D)N%ganp075G7r0l%>yY3^w5G<FoyfdUTi^arYL_Kv;Q=Uo^;2uY&b`(}mm
zYDW>iP;$I6(ffr$z!e4?X=crrIMD<DwuWB%FgC-udb#3iLzJ9x!~N>rsXe0kb(d?z
z<<x9EGhtY;fD)pn)1jCC1v(AmkUL@guIzL*O~Ad^76gj!Y(`oadadWB8qMGsDXhO?
zk;#<XT8th`Gp_AG_4$!-_6aKbmcr?^O&<@GO?bT?>vR*%r5j#Bptx9Ap_@YskEha<
z;_)zvRe*)`c5R{AjRa=7HZxebv}i){xEQo5z(P2_ZlrmoKrxpsq+zg%Y6!?F2%P=t
zADI#H?@(k}@b^0nZhEA)QOQOwQgQ5{nYt+ZnlIiok#C?u)4CUE2sBFN!+SSS4>blK
zq&amDuOLta#Ay}pqe;Yr5o{G>fcQ4eWh4-e@W(?mfp{1K!yg3@NE`TDn#)KS7O{1&
zW&IW`B-an|KnN;T6vOZEKa}Q@1R`JMkXRqR8zhRl=L$8QL{kWWx_WdaPVO$CIVIr^
z!{SPs!k)!~m~ba(J}D$hXHgMpa!!tU<@7r+&+?E{`XQJx(+|TBV`r0o44wpLS74MW
z{RB4iE1bT0h)HaMSXASC@EF(UgRSYkP)zP>gi}-VB%UHdOSoO}g_iowdS8T`dJrLK
zCp{Hms#;x5?dc0}Xol0jrAJ7UB<=}bvyW|<*{IwiItioljpC@3yPx&Qk#Je)j})lP
z>3LTSqSER4O02X-N)oJiXg~DPY?nJ-?>B2B_>;wu*q{9l^GxG=zTZn9(R!Q>sfu!Q
ztUWRN@t)v*=+4cXp_Ynw$nelR;2|vHT;U;nWo&3I1DLJ?jgo4F$<+O(<edLuGW}Vr
zIsf_^9pxez^l8SPzo@>hjS2>R4jT4?gQ;1mLZ%Q5DgfgN206+dP>=)#QdWE?xX=e7
zH=lNHJ2wKu>03)6Lv%$L0!7<)`&wy(G8}X#D_X9PD*Qu-gZ>Q7>D}^=FtRJcL4U+b
z;hMPWQn1TBBBXQ<1l@j|4}kp!;NO2y1fMJrumWn71Pmnn*q>R3--!5>M}aoPbWaY$
zaabvQ7_?9eW5}{1Fd|wBH5klZpBv1cZU@ru1FpLn2r_IXGY4muk1HGhr<9kI<Bvc_
zjX$aUsR#tg8C3>X=t?{gl*+}C8dpa+h{5U!2c@5bxqtzmeja}tK-bbQsNcQ_zs+*!
z=c$k-v_0we$6D?FSigf=7?2=bDg3i3DE#B3S2YB5w6nF5ottXV9d`Nw`Xju;do*-&
z2MnCwFw>!%+g07{J$r5F#tD2Od~=AW7!Toi-kQeibqbC6FiwtSdN(#>g>e>hIpM3V
zJU*j8)&no|cgl4c{AM!wL6S+2FZI1p$#ndA&kLmY(FEMvOhLdAWWhJOcxpkG1)w>+
zpT!x5y)%3MJ*y@E3Phh<h#(51QSKc276Z?s<_>0Y82t8I`k~Qh{Z3c2+7?lkMW3}x
zx=f!n^Z9vZYlqKq-ePl9tlnvCgkp)-uN=$&3hT6VN4WZ(qnq9et<8Zu;_r}2;f~<S
z%r?F+gvTh!rS6EM&f^mu+dOV-ZBN=TM@$d;HP}z`Nl&>RLW(LaNRPo$8%`e|Ja~ME
zv1T7M?hNso=qQ-3v(>isgBQ1JaDuDf8Xrv7A%mjTueEwO3A10tEC3JswWQq}u(Py~
zQ`}9kRJ&6ft-<Nn6HXXi2F<`R#1@{Uf|?U-u=p@x!RgU<9iC%0a%a%T!Q0WAoUCn4
zYRAHhV{1E_t??!_xoijem3Abxc9Jx3fSZuo3|=T)pw!@K^fa7M+ogv4Babrg58eD~
z;QpbT?~3I=m%)>{44xD#gXxJ_W9=miK!Edc-2*P93u8EyJErrn(i$<9UjlO{?Lu0&
zvo^v*g-i}7COdTyN6_{4wf10YdKU^4CIM~W=SxORKN2z9ZwY2zca0nYwF-WtYv7^B
zZ-lRmIog_!O}~+dvWdN_GqN{rHRzvS&{-fnM^lVJe^GrVit-$Fp<ypPY^%tzF}vwM
z+Lzu|rF#N@654!4bST{O0IMUVcWih4nksZ(6#;8{D-;ggh^Kc$*?3sVz}E+=bT9<i
zMNB2-qFVfAg8SJjv_B1%DBqDTvr*uFZuY@_ph^crz|Gg5Ahoy-G=Y7%3f+I7D`0;)
z`@k+-Vwz9C3Dc}y2(UwH@{p3NJuyK(qzVrQLZvy8-p4@0@uq=@eQv1IJpnOnO6|iT
z_{Ny<Jn;a#T)y}4`SPzSkz14i;mgN0MxZnCY*uvEeEHW#p(%X%S7W8%B@qwOnkTxo
zT_xX`45t&&C?$a!Tu6VG;fnOV-%<s(=SIQC?PvHt{*}QjRh@}AN3=4(oDB_W_L!&r
zrRC+Mav*F`qfM%&^t8*3N0g^s?)#PSJ3Q@d-9&oYu>|+De+jzAJ?-qbIq<ZfGibNQ
z;W{+oWv}F754(KGBvjS6{&KUK5!^h>LltZjrSGb?b~=;m#oa=e!a=?Dwewr!eK<k^
zR~L2Q#;peY)!S6VVzo1B7uF|x33Jc${aI*pY{DIB?om(vLm(LXtYj(_?a6;o)!mB^
zFPp<$aN)1A-*ex+{n%Xi{BPCqc&B|1TKa2j#&X&}eYWLL2vzR?Ke-A8(Mo>(&O&TO
zt`PYjCPqt^QiA1)87zQGp)rF)Xaeq-fgs?B8Q>dT5ww`WXeBkaHr)`xcDgN&x9FM*
zsOMSevndf_2u?^owg9&On8ukjmu|2Hfg%u&4cnzO0c{x<2m_;09vmouK>7;CXf9)6
zD0*9_XaW^rKpL|R!_738kuW$tBX`gw;(-uUW*dq((tJiju@F}fmMi1EG=+F1IFZ=~
z;xjaxu|PPkD*8H2ApnT#`QveB;-6_wW3j*$rzI5so2C$eg>@ktzZ!40g<|25IjLHc
zTPzT`=(d13kfu-p2u7p=5QHb`7@A2625XDyP66Pn8mp+*bs5&j6o9|Lq7#-_`Fij$
z{~o5W>RX|gm8(DVp}7h?kM6m<J7+<q&{g2&GyylXf`DTch;KZrKyEfYZW5Q_-e$FB
z3BNWzflHcD!#&RMv&fN9dys%Zn3t_q_kdzx87~&rFEN^bh7<$%%^dp|kp0i*cMA7_
zrhki7hEsZcfUBWwajVU)E7xxGUBvd?k{$7v$<k|Smf*(KiTYr&KeoL-IY><QvV(eq
z>FExn685Gb6X1qH2QNp*bj9>8o$DAaEH8_RIIbO|nTRu|8<bCwn9bz|<s(4Zv;+PP
z%2#PF-F83_2-=|hBTXP)n*%o}1rW#$%CBfHV__(6Q2s;{r~pIQ1|<%L1D2U)+_Hs{
zFgQ0TYiSbkKm>14;-EN@<}(rs*F1L?O(7nM(0MKnh%0C|V}WpNP@Y9o2mqq`1|<%Q
z9?fYi7LE<dEi{DyEGlkL;((Z;*^C9ku|atgO`!r1fg6+p5X1)M!!(l=45e!rnOEyt
z#^jaL`(a-)2YI#sf!iICSIhnFEX(r&biIe<)t)W$YSG`FC)2{IUiJ|N_|6F?b7C$h
z&k3#9L_opLy50ST)KWJ64i49F`Yn3YG|}Rr@4fksSvw5F?)*)^E_%2}&i(#d44g7)
z^Ix#i8WGCzC2bC6%eTVC#!26QLGBRV|2c-YQ);^_k<gImA+KRlIP$bBFWY<-e0qRo
zck=vU6^^m;Jj>%W%gLpZCPaEX{%g?fLbm4uXbRTru2aJJ%Gg(1Yi=_Qa;fZ~+|1<<
zloGJy#KWy-t#zKpJnqv(&gbJ8oBpEuZagaIb1gLN1&QT+DufEzK?Q(3*+GtS%QOj4
z@MQW^uoZT_-17ReisqHTgoyqbr5~<Bf`33o{{sKWl=*__UZlH@Y9r|APU>wg!Eozs
zf~oW@n9lOw8{p{!yISw=Vpo-7R{MC;!w(%Xk+6i^^gxLuVe_E^hRMy<!E)mrPkA){
zat4!A=<!v!&@T~?NSRlEo2;i+qkcKoM1C7%(qB{;`Se669GZ_i31z(yF_BmJ6hyuN
zk4NMk<u<^48zC|Z!7Q>O$hJ+rTyZv+fL%}=vdQ%KT*rRLbj&}5*s4hK!#OE1kLe*+
zbk>sm-UnURC7xziB>BA?E0s;5+8hY!G++np6`1&Toz$K+bg5h-N(zDm+!xa+mUH&W
z00|Idg`J<}v5L$v{83Ez<g(`<u~PV$F<+O*b<W<Y@nGipkzkgp8m?l7p|PT2mh0DS
zXh;!eqy3BWa#Ax9wy4pjO@lbgFIUM?8HREPq(;$^VR$02i{IpMUG2=z@?!~}VR-Bc
z_>G<AXTQxshT-{X53X;9L;Seboxo4ARZ21pyT-Xdt7@L%j|(l0uqW&~DDg4FxcnkW
zJM1Ns@WGX&F*e?r989$#_3*N3wqBatg1#8`b;Ro+6A_(M>%mgi8*l-FxctD8rg+t0
zdNSEE4W|g}z0q+<XdGqmj-C%dUx+}jhtrSwOZfI6d>nQ3O7;)Gv~CY)EuIa+=AUQi
zti{t+-M#oGtb))K5*JrHiioSDi*HQxdYM8XK7BDqFWrpISm}$|-Xz<6tDuFt&)!|`
zM2mSE<g&a)x$@8-nYbq;?w*v$I#e=)VE$_qdNcvI8&42$gn;plu4P(E<jKs;MA|KZ
zp0)Ldt&`)sjOlF_asNE5uK|d>$j}UzTMK~uqmFmeOu7LV1d1>?^F!Z3lh9lofj9)`
zhsFSLFU@5n5RN6`muUj=Fa(BQ3m}l;*9U1XV__(UUmvCkRDdBY{2B+tUuZ5PVQ_|D
zSFSW|({7uG;P7i46g8U9NGM$4*HM~6yhwzGU*mu{hh{St2uJw!GMYjF5Y@x4aae4n
zIgQ1_5q_PfDFk3qG5i__#Pex3V}WplUtdO3r~pJ@__Y885q^C$%_Ip!e!VwA-~-hO
zSRM#>8X;dpT17Q%^#s)GU~+&3ZJvO-K4v#tSb-m4*Ou$>;tO*%{&gA?cSrvLDuu4b
zAEXJmM^zATtj6(;XElD1WB2b}Y%i6Ct#r*ttoC<%M$HM8XH);WfUAGey=0XMgvF>E
zS3#h-=yvTr4xuS%f*rW#4&8giz%W8H83}`9$$bh<ARdLlC3g`7|A!GSrg<bm2(p~l
zR3~7WL(-sl^c{k#w?e|D460^CwsnVOG<_K~V}IOUrd!iC2Y7gm&IA9ng9x&^zVmPk
z&B@=}oRnu)a|SIuHTff_m%}OdXJI;7WtNtciT&7|N?t?u*yGrFB~%KXO5R2jaErMh
z;1Df*<C#kM;@=ahacw_7X|-ipV{Mc|Z6!McS3YHYoZ)AYb1NB*M1+z(Kz5c?vQi!l
zB?~yq@C%xk3Tnn#j8U`lvUq^O<uf)9Fq|<P5s2d4zKAtzt#elFZwkL9LGc1BsFX|W
zQlM;Vynm5%1kI&e;{|~t5W{--#)|D&@NA$7$HPO?t^gY8fIFM!J`%Ra>9845FAKEI
zG}(C22+9>8BX)*$nsW-UQstMKzb^gHE2pQzhHwrte=o;<rpWx|p(>X7`()vp1glSf
z;O9d2fgeoE#Lu#0oTtV=z1!12_oHIbc|Hmzr?BE!S6#z8Tg|DJM|ukm-EjImdIUAu
zLp086?#&+nV$n1`!Vh6jHflGDPQs|o{Re<%Vi1)XF)zbPYeZ1glL(yt0n)AHVxDJ6
zj?h_?Pt4<swGou3JolHSPP)XCuW8NeUiF})Si0+vlu)tsoA(CyUr+se4%8~71iup=
z!j$Jq3C35(BGj6;%#`4T*i*S0=YN<?|36l9{%IXE<wPp*eT+SSQGLl8l?wcMXxIx5
z%P!)`n4O$IB6|qGnce$gmF@}jNnrETY9SZ-1CxVaR^j015df$6L*dZG(_cf`3IMND
z0Nd9yE<V5%N54>L@*@C-EtcIJzA>cRlicbkcd%2b)nH`q_b?OKZRK;UFUR|BCBuVV
z6*=B-VMS?cb*Al$6*dcUG1oD3Rfn(O@%i-nWLFQ5)4=8CBDXtfxC~d(iz~#m_(CDX
zjM&M+<LMP6nc{r{H03d3_{tb&QrAk2*u_?JK|**TW6xhyH)2sbb_q1>1&0|ij*MZ%
z(jTGZ^Gu|I6{}b2pMal4mbn%MRfj9{hAMR1bA@ZK60S?J4+2-)+T2#9e@d(i#;YLJ
z9^>UGx3)yZm6B#<CBdNC?Ux(04JBh1Y0#c&dIR~f6?tams_p<1BkS;m2K-_JyD|d5
z3Bf+Y!1mbk^9{?y2O{{#8hB#5%huUWMlss<V+A3zbN?%N=)I~e?c4_#c+SNdzKXDO
z%!Mb|cR3BeY&GXMUfN{)MaG`LXk|P16=>KC4zqI#nS!bmfbpn`qukkWh-LR=NJ&Dr
z`)z@`**uo3+j~ofq@ZqOlk%v`n*vrP;`jvax&jmG@8AoV?`mIDm0Pd}v}al1w<%Yz
zHZ{U8mk5G5>aq$em248V&(2(sdlzyOGSTf!<^Bcci;#<|MjsA^_G%OGwV9+o-UPdY
z+2L}@J4>zQLN`kdg5(_)1139kaRk%|yu=$ppJf?|JYsWpO!uU$oPm|XW#tKdOyVDz
zZWvkn4Uwfk!bM{p-~Ws>t;H1B{6(z3wd=e(nDMH{SJI{J@8xU=fy=^*65mi06VzFu
zV`6pidaJr$iz|1~Bp=vMbaE?2WAl7KM~9%J{7{Bf_m;WurA9lji_W2hZB|h<7jxmY
zI`yi#@027Q+9P{eUKlfnqkxMxIWIDUw;8${Xz<W-L>WAiy1d6;x?rPDnMrTEGGvZZ
zX3XtFo-)G{{FK=@p=<n<8T)MxPMMv>mi)}^+L)+x!0bevwZW-@pOfy6;vZw!X438P
zKL-8QWN%a_Q}t}whxA6+4fbQ(k~Y7jZ&U3e`Rjk57yCJBE9moLKUH<Jx9qjwtJMXe
za8zuC`Ih?-%!lS&^9R-C_yb}&T<Pzz8S8*p!t`OTrIhckwH(vOdC7{R`H`+wW>L9%
zwjY~_9dMwz46)V`?zEH@P|3^(@E`43OA~O%X$1jC1`xh6mQ8v8hm_smT`$hZS_u<{
zldV=Q6tqyJzM3M=Y-yCr!`>$_I4znK^8RU0Pbgc;n$=|KQOZ}oh6dN&(JMLgTB@U8
z#1fi-Tf_tbhlt@DkBH4mzVdUd_N{@B7q*yu<sAiF{i!^6(2Tlq6$FaP=gL>Uo2C#C
zMQFZq3=Hq3nT&+N;pD%UCJ>K8V7_t@1b@Er*J&O}5HuzB6L_#X0m~ec2F0WA5vi2F
zBN-)ADQTMnJQ%5zrTNNB4>ApvX-LuviIki{3r|h{$mwMd<SQRZ_SloJyap<Tu2weE
z1l(dS2slIw-*~2y=zQf1thUV2u5g_-=b(Ifat_1KBIi~z8i@!c+e&tpRI*YY3?&Q5
zSMJliR8TX{VvL%Vm&JT#*B0i{%U8aW#I1tB2Iniklu2w;n|J(+oWG~JbZfjIP+a7Y
zIm70j<3luI&FTj3IY`>&YF+@1%vb&b&3z<nMAong+IMKO@t_fuD?mo%EB_nKIR#j$
z^2>Z>m;UFK(}%#VF$ej|{{_uLsIb`pUn%#Tu*}z=2wx0XeL7$HX;&ouLAMP7LAZ*T
z`v4&^q27nYWPA=;%eC?5pnW}NGoy>6R_|%43Xr#eA;a1@<TI$8<=Jdf31GVPV3^H^
z)5Z7?T)`~;$=1xM$snSFdCU8Z`;86U0?|KMGpWl9ul+4Vny-RvkzQxe9Zzs5_~osT
z3D<A7AapD4TC2hDNel8yy0!W;bR^dxrkkhM;QhFG!SrAph8EIFcuq-gw07|XOGaTe
zrtAGCwzI9ZJpr-k@f%^+=LL|)&S`d$7^dPi>)U}$JE@tivz!(t8+c{eXbsq3#x5`8
z(pB#!wRWeE`7f;ok4x`pK~4-L_VN2%8>~t<fv7a5%hVWeJD_jN;0En}e;4Hc!5t*f
z2}V|?*t0gUU1$el-@O+2&!G&bf+b~N#XYysmpT_~42Hv9vV8`j);(w_2T%Z3+W`nC
zJXp>jVXeAGM&$gD;tk)J=F@67TH9NVL48uZ!3wJX%aAih+{Qq-5&v5N{*M)a+yFj?
z8^A+i4PbgO)>wPV0<fMg>yllt`Le4n!2A6`@tGH!C5FJweN5@bm_Zn?w}o0w*Lyus
zDVQNpuzPULU#;JoN|g1VrPlI(AH)0o_^SP0Vf1?s90WNvhEtihaWYm?Q#fpy)1PbU
zMLgvw{vgO1W>lg!qCzMv9TALjO+BgY>I`Z->TMX<4!iu352<x&wjI!r*@h+|E9ibj
zFd}-)d_SmFI2y7U9>Uz{IvRqn^reBF6JR79XG5yvGFGEKQPRhfD7IM*lWPunNTk6S
z^%vFm6;X#oTF|f;CYE=oFe>C779jHE9XiS#Q6?-3v#hizXrxUcUn%=e9b8fZsFpSO
zR91A~Id$*`;8&MiztngKUS{Lo&ART?4}7Ilq4lHm)WL_X=KM_K$cUp;A7JeHi|SgD
z-Ux+5PxgES%6h?JTEUSqi~xD+;44-7C*Zey69!R!iL|hrj)24utI+)cRHE{HD&zX2
zO1M&|4t`sue*#zV^4i%__{NZGk4bZsD?3Y&TePy0V9@OL%MIFHC1Vz8(Ds2-2S*)Z
zj+NgIcvV^2xwX)gXB~jA42dAMQ40mYm9p#zf*N-=`=4qx=Vw~8b0;(Q{6#D4<CCFb
zFF4H3DP#(&QUJ!IDvolye^Nk!Iy<KhY#z(iZMbAe3hG8SDNh|-5TL~3)B!H>0~0Jy
zWJPD~0~<F*iLf|z@NBG9vLnfTRN3>C!!W>;$h<k0CvlnbB%+UTM*`j;__xz-ZELl`
zZz4`9fbR?Uow(iLr=`SQ_G<t6sPmBv`lHSYOiOpf3_VL3esO@F2#H1!nPrKNJR|Y0
znC{8F_S>;ixMa`C8HxLX8Lv83xXwrzTWU62+{=d0bw&c;P}6A18Hw*%)n|V$w2o-d
zv!d!}@r*=3N40YbO1;_Q;1_e>OO1A57Yk=3MCYw_5DcI^s$h0%!J+2J&%w}1!l6B~
zSN(-CbL<RwugO`Q8N81(74UZw7Y4%Mq2-7&cqDasMnZaJWlW2%bPxCi!LZ8+pE6{Q
zGZHt#GJ^gR50>C(B+i6E=Vv6?Z*y=);&hczUg>}YI|dPcK%(mDh_~iknm)}<wTnf7
zbk<KsTnfRbE!94YalO14C_4t(EyYJVI|ECbhT$60Fwh4gu2gliH|_lgA_}J=hLl)H
z1hpq7N)xK5@#i3Nl+py7vCcs>_Jl~X4vuK4>yPzO6(#di0F|NxH<EaH@(OoCrO>>>
z+i3#s><>Y}kynUsjD=C&|E1DIa3Lv9xOo9nX5L`6>7R}C<sfkeA}3UyNpm;D(jw{3
zG32QDCn!Bfwa=Q><mgd40`XZITX#o4#hKT#*!)KzzCjak%a<VFkS~1Wk*`@f0`XI;
zeQV&g6q-<3Q+LCc%i2E|aP?;g{()xHjjJF~R6W-bh^3D)q26sMLXSYiz%WcR83}_U
z;;@b;5HApcM<9wI_)jRDPV-2DpeeDRz|*P|u*@N8P(1n`lbua6N@i!%HV1exva?H%
zK=f%&D&%H!1}!`_`6H*7J#Yl#C1j61OO@N8Qs`3UwKM^@m<s|9(ZV;LsYHu=IBcaO
z4)T7ht=+ekfmgP_o8f1Xb1NB*M1+!kmFz63WTiY9N)~Vg;>R>E71WHg7^7z8W$_4v
zYxiOvftdR*K>me9tHQyD&?)_oOiaVhJskL0Q!g#ycB{D{P}ElE7a(gi3C*YmuJVGv
z02u?s6KO6ZfpDyC&Y=m!!w|T(DS$v8=(vjJG8Ts77a+IN1S-G~_65i|7zQ+#kuW&F
z0Qr2HL_83|Ux18*;*~U?kx;nu8s1D(h)04GDc=Id0r3%<%~&8DUx54^O(6h?>R*72
z!{Ylir?FU|+u6$0{a2bo02UR$02v3w?`bw;fpB~Qa>?V!8M*=xfnR_u06`pUJB((M
zgdu2CJW`!N>55UFn{zE1^UCRFa01Q2xw$6#p~Sg4?rCSoubwVkPOw#=&&>^sb90!C
z!p}89W=fr%WKyXpWEtiEO`nP&52qK>SZfl8eB;TseIt&-a6M0S4)(#jcdU&c1nYE{
z<)^aDgJ=1%wq?|@HhzLG@L1b2b!g6UtW69*J2V+^tZf<O(L0W{!FjgWV{OZd$J)fX
zz_?>=*gN?84CGv?V{PJSVDz!JW%{u;b~JC+kG1``0H||~`>+7y*6$i_{jQF+e(6<M
zgCA>iS(m;2SX;vTJzllnc&sh&_Z~Rbwj+j9nQGU^N^3+cd)B^hw3i%fdwDP-EY0Z^
zi|0Y=4*d6`bm4xGY;!JDFPv|?10H(v+VPd)%(Xm0<|z~HG@CeUqCHXS$CB9IYBg+m
zqs*0uJjwHB#;Cuj?p2C9-}ZKBSWgQxU}8Co3Zp`XdjTR(hP$I&>7g}+S<v}5n?k;#
z^__2faS5PWe)@}8(S7H9+mC@?U2^?W;~jW;?&BX>*PZ9v@Rd$wH_x~I)@shrG>(io
z-}W2Ep1-KB73n=tIP`qme?nO=I7}-zGKLW#&$q2S%!JF&wAMcXKWTZGhtz+*ZA}%r
zhe4&_^KCJ>9sv!<<4T=xds3DD30xtBXJ@+N8$+r+Ce2Z<?9^Ir(aK7~TElL?+@RfG
zq6?7*Z67$_wl#R@y&@;=+}|*PciK68Wk>|6jar=7eZFmn)m)Gr=ri{GMJwC6UC^)>
z9A@VfG6hvB0OL^=N4dT3e4EW<xw>sB8Ipp!kxk0;ZMOy}u}F@`wSHi7{0*$=tetPW
zH%f%X`L>T^rIM{l?ySnxg;)-cAM;7byx{VJx!o-<3zqk*F}-6a8onGL3S!U@g;^f7
z$Rk`2$8=BbEB_rUg%2KFJp~`ZZM4Sw{!iJsJ`X#8*fh1XZ}2ismNt2RVuJ*eLE&T%
zzM<v<sIw5eZH0Lrvj_Uc$cFaIUiH}hB5f6u`9Cm>`~!sMPslt9Pn67))a5B2>5Pdw
z#UtYlN|qg`c<upXNuT1u68sd;W*At0iiiC+H>Y^uoA%o~t?rzj;t@2ep5i&9n@BG4
ztnsGWSgSL7RkE{x@nzR^>(kRo7Y^~%r{LRHW9@EdM{g5&&iimD(wXd2v*KLC9z9#L
zjZ{hcY|Xf;yI04A)R?kUEjO!^OK_4#z2cu4(VnQulDVq3tDeT6t;tbJ2iS~tw&u8S
zK@sxtYSn|sc<PFR`2mrISWvDM_#b8mGqQu84AU1urO*u1*U$vqF=Ii%kztB&j0q_3
z>*|8e@s3;D6_}zNB~4V`XHoH+d41zS9FK8OEKgi{7lYZN?M_7HfcfVQJ(2luS+m+X
znbif$RFI<;dJ!p4=0g*~Z_x<4d+{~SnU*TxKLqnnGy%6<2?7qe!Z#kdT7ao%%)eBW
zB=*ki`F~n1S>va9w*zH|(I}Ue|6t%*)F_-|q@}zp=Ht37o|%uU-SSlg)3qY59d3?`
z)xUT&IgxTW4+p}O2T*8~%qnqpJqIoQ8yK89$ST>1V=l5v_#DHsAD$&dur#aW)QfRR
zGL_&ZjF4C|1$Xf#@S_FyE7vAF+gjsz_wN;Qw&W`q2;HlUlgjm#%A^<I07Gaoc$~4n
zdwVvDT3)PW<8ij=9E`^|3b$;Il)ELCJ-yzAi%;P=cu(41{gDEbEm^LOK~nB-uf|Gi
z#5!fx;-;tI>Z3Mdtb^G_pgZ`Q7^Ms4t}_iE0c_O9d)sr*hIJ2U=|ZL#+--f2cox(u
z#6&yr&=V8ISH?79SurCVlC3m)E{D!~YL4EEECPOehZ{^01-g|n>@TWMG*Pk9+o54E
zT+BPFuqt>*3s8ByqmFWGOXNdAmX(zR%VM{mTV-Elbg~3aME=jqnAvKvqI6_*R9`#Q
zM)<~WL#;iS+6ot^g9_k=5HG>y<(QaQ(r>P`M6Anvs4!th;6C6>ms7uNc!yU;2JU5D
zbVdg7l}?3@fadF{Lo>&^>AO~AewH=K{}yA;UsRX;^mR};H2(R0DC>oWNxs6RAo&GY
zJd*Dy_gJq~sPWDGWkA~PHp`{`<0TLlq@8S1`tc_MS{3dwoO=S@V^^@E<rC)OZoSn@
z)MUB%3jU|Ukm<<bYfS0&OA$gKy!em9N^8=~fe}as1HO%Wv$K`Ys80@(3%cD7xT}_N
zi?0$;vlaSVIUSe}6^rQ!NNG47jo}g(Mv}LsQ298hOf6!uV`3DrV?m=}5WoRJ3jjEL
z*RisBKzo)g;VH~&RMg+9&umyOiRrK$mZxH+lJ$!gTv^3UE&Ec#AeR&Sv0^N<-vGA%
zBZg1rGJYn5m=-fJ8rYwp(HKrcbs{oM^6Z%I$zj-mmBNQ1dN=seV5X`Xen))7SR*pi
z|6(>e<Uq0ke^GfkseXuD)PU1g`0Jo}Afs~Q5fvklyGJ#Uju^q~K=0`o0hZt~g3mzL
zc#MGkHU}|+O<k_fl_CV|gYK~s6spDtu96($j);BYA}mAzpQ7n*gJ=N@C1SV$eVkXa
z{P~M7<15AH9t|5j0E4M7`Aj9C!v^0|b+b3@y;pL{Rk#&2SfV6=hYZx;YLZ~H*UwZR
z;{ygcKIy+>GgiRhDZ3#%LR9hy!r@e7qIB+BA5x{|szrNZ0x)kaB_N)F!hb<`Ljww{
zXaa7>uOQ%X{Nfv3pqqKG9Zq|X8`x3OMCE9j>3BD$gJQW)vj$ugmV<5=F$c^)$>;%v
z|BsJeE?jdFP`HRj(A|skScmmH68r&$t7!smxe^2%a)oa^a+Pm{E$<O*vK<@a>#ded
zlUw122}Yw_TDCFpENT?a6{TfaKE)Lb&q91BZ4Up#RIEE_aNO+P&UzLm7I)JG++raJ
zIK%?qc*KGy&Uh@0E34)MR$JCk#Tyk)q+BxI!|=1nQBcQ7MtNBbHM!<WGt{)AuvD_$
zQ=o2UAyc#-m~D7XV&yP@&jqtKs#XZf1xXHO`c1IXa}a`h7>&OOLGe`!3weB7Osl0K
zsEhItR32!$5>sU$(3E>cYi;f(?F{<pGOfd#K7QSBqV`wpg$hZ{T6;<u(s@UK&JL%4
z4weVR14C5%!YY@I)*nUJoB^tG&yF6963%J;kwTKKkPkvML%*mh9Sa9wr8Qz%TyVQV
zyRaya|6JW!YFX<FQn3#aiU^eqO`$--Cpz(RUdZ6$(^dM2?&Z=J#sUiMiHXE$FcP{a
z`VTNxg^<;8(3B@+g|BqHZ7aCjA*=H&0@l2s87y=+ijdXWjA4IK-G37mvbq2o_QJ)y
zHwvqQ<Guiu$8ql{cT|A1sL{_tN`u9*>Ezbj7rHvO1XdgY5xP2>6{SO0C-KcN&sp?_
zuC^v<s(I0dODD`ol~4=wp~8mQh#P@7U1t4q;vH%kzS_yU=?q`tE1e3h8TqQ+xk`VT
z)tH}UO$+W|%=wGzT994~g+s$vcS2b&G)xN=E(I+pz~a#YN4dkT@RcbUYK$|w97w+1
zcDdvaN}!CC{Nr)sQR6B6wGA5}MWNq<ixANMGvkkG3vyC$iG1nC<x9Y?E_{9=@Q$Mt
z@z1fYJ4GB{=~QSD*LEQ8JpKo*=KM@+LjC|_&tJ5%kpCDO_JYHNTp?2s@&Yg(A$OEJ
zoRkGk$jNdb<aXQTLjIW&C<{VPHYsDZM+USi;!?N{3k*}N3}{t^Ddh4qDoi1F7;0JQ
z2vb}OJkVhZEWyJRC)D7#FW^N9?6)}xQ=G}Z=>S$^tT9n3RB=LBr~($JW1LFGaK*Kc
zgB7jLtXd~;s%f7M!43AgyZTA*;>*?-4?JAAzSc-4TT?AaTiaBVSGI3~%YWca6L>Tp
zLskqt)|VSv9ei0kqlS0sxxR(MK4*gMLYXbl3gf)h9^>~6;g`lclkn=o`eYC4C++c0
z0~Rb=`=ai#gZ{*Z(~f1wGN$2s<n`X@c&D3;vJbzFo)4cpxe(LvxVhi6VV8?RICVR2
zT2ngga)GLwy?O5qyXZn|g<h6xqR7C9sm^$&Y%W_oUaR^WAA-rTO0U6YtPspE{*O`w
zA?UeZ|4Eg)FPh2YD%ys)Y>V6`$I=r`N}*C{H0ef~fZM$*2sqrk_(s=LEt+&(xaAax
z6{7>ro0ng1(KKyCh4?`5&C7QbfcAe}<1I9oZlDE$A`p(7mp@1o(A*IEf|EG26L|A-
z0R-~q<<HYxM#8XMn}V$)x8J4-#lvCHDtBJT!SYj@+ela(!BKOH_$^H?9vlb73J?)j
zuP!~(G%S{qQvg|e0C${*n>4GahJzmOodEQ}zUK47V|@#~qUl#9*(;dHhw>-p7(IdR
zvAY{bL8VaBe=<$L4XGgDF#Y((WBOMbt6#5mUn+}Ps{AyoWozuUQ3|wdIiYePy|93&
z-^O1@GwMcE5D2pI*V6>zkqET$MG*WS_IWPNBL#w`ew2t?MYW!jntF(H<5f`8#k`o*
zQTeB-pm)<9b#wn}s1&N8@1O~|krV_R3W{$^6%@Cc(F*!$tK~hap!XCI^(*MNXhz+L
z3IYxV1+Xkr^-nYbO-ut#RbZ}45d^=2K0@<IfnaGJCE`|5t>>hI9#!rFDQK%1NeKwA
z9C(ze36{LNyR`}`g=%h%Cg6rx5O8QNzL^`%J;iF-LP8t0KzWUsT2Cq<>et+hX-3_M
z3Iaizdksw>9*IEBErQ_J+?3{#0>M&8Qp7zH2+0w*4$YgVF5#GehMXVaH*;$IpCqH?
z=e%ew03M9bd6j-MZ-(Zi!pFQggBG5ec#!6;)=MUn@qPjh>dxd~stu{_ruVjB+zzm7
zNYINf%rSU3*>jKU=<QG`)X05;Cg7GvLBJtm_{L-8h7?8uo}xy(zBc*|tHs?mZlRwh
z`$_>tzhV0c&7>PeL7)hO!!Pt3nt&#`fhIn1&rk%xZ`c++-W+>tq$m(9MRXfBTIwPU
z+ZvKl(y*2CU>LUjwkWjlS5vh&(p*$9YMeO>OHDLLqqYY=1o~96#~x#LK2!=dX3wAr
zxFt{!a2PXu<1uF11+hi_b$vK&(rU|64sDbI6*%<6VNHggMb52YG!hXCb{pAQQo%}j
zFcd7{L!hsvd8wdgoW+W2c4TSfwy=0uDyzsvL;k?DC?6ub>d~+FG5H8PM(`P$fLp%=
z0f&C!8;^eNrnB+;R?C+7$7@^6j_BJ3MEwhgpVN%G5fucAhR3mR_&rS^9*Mw(LlFcu
z6+(c(l-m_Yn{r@{76pQ(g>Jh>OJIauJDOyav}>h27<O%m$l{P1ul_cHJB8+_f^Fk$
zTBvG5Qd~lmm&KDV7pPcOo|0gmbQvy7R<X1GAnZccF`>GegsMV(nWSAFk+>ZADV$;~
z0xfT5bK#dGpPmiy&cU&mzs4AuI2OY*N!US)bH!kS=G;3!_a*QH3?teN73W=nM-1w<
z^R9db{{mU7T^nx>+Sm7LkeLK2PW?f*UBi4ZmYoEL5o!~i?i3z~!Gx=NztdGmVrHc+
zB@^khQ63;gH&`qX2Rsh5uVf#wks65Z!AQ;hooz3P!BU=yxg9I55k_Iw&cuwU9G}_<
z<i)Y;+Su6!$b816XDN_ex~zMuA~Jj47Tje$#kUW&3Ws0b3=d(Sb7;0-ZN!=%@s+Vo
zvSxns@C%!uh5y{KAh_3R%$jU96QpH7f1EMrFRJfZq7J%z3L5r8!?K?hE`{vp0xX{F
zXGgh1+`^#DL*^*}7Q=2Wx5B>TEN?6UPs?|HJu6BdXL+*9HOOUqya{(Jf=9Aj8}#4~
zLcE48nTAJwp5G7Oyo3va+`_I}lWPrcF2nDDIb96>;@}-one6`?)=#If<13wtJ?%#c
z`|@MV#{4X6!oCzLQB$)n?CCdw-O%$aE1_X8G)&kPE(KvPz~T{hN4X~iN=GjJp*27q
zY<lJD@GCa<^hk))T_NhQkw^LSb6sfP#WT2*5Z4s?F&C#2$kYH~HRYcQ5SEd9Ua%~A
z$5@L0Sxmy5;*YN)#2<s#($*IP+1FZ)(V&Y%jaM_~{6#B^|6fDHUTB#3D_jcVUx39U
z{*H1-lnI0y=B%_R2)s?9T;NYH0W{M7pJT_8Y9s7JEx68M3!VHU&mue}&ihVxJL5?Y
z<_9J*)}p5vh!SE|e4+4SYVm&s%b0iUrCMYRD5qNBt8lf@u4IEFV2F;jqI!$foL}0t
zdErfrJ%7>4it$!x*b5F*433O3^^u<`ythjK1pK?Rxco{Ly8rK7;rg{oxKf`f{Ff^I
zQ(|4PY6YqGST#qvBg?g1>1h^F7%ZDjrQEXJRx)ytmTe#SSmA+BFzt}v8h902TDw)y
zlxM?-uOh4+9u1SL09WkkSgScd)0(wAnz83ETG`sIgND7}Fl(ofDJV<<7>~j@%I$R@
zE3|nmSGVOQLsC#TvPpSx_O$`)adB`Koi%|6XJ5#QmfyOf?#~s=4fVIOUTl>y6(z#r
zn&T8JmH3u4Z{^a9h0jsyQvN_OljYCAVm>#9D|VUca{`7?fQ{VGGT4!~=iVLDJ?YT9
z3oC_#zGAvz9ZIz~{IDK03#q|ilJWjvCaYR3i#%<+-pxkMZ#F?knIOEQyqvsM7ZHsT
z1X}IIadqh$jykR`J^yNe9mmzb37StISH}|kxcX0^Yy7x6`|XSS&6{@{A~eQkzv1Qz
z$z5|)W-P*><K3l4+%z-NJQ99+Jp8XYEwd%?9hhzluEV|#3T(;FWyfy87k0xS=~q3n
zescJc^_)`0W9!+wY>t&Lds7Yec&@YK^2p5=m138lG-s`O&XKc2;#Upe>p5G9=-c|5
z{t~_l1L%%k$^PLn-H|<ejQmd^H2UhuR5tn;`R`TT>}`AZF>+mytfS=nTM{DYtHN{B
zQm#0b#w}~UB+*q##(JLzGhL2bx*VIaj+FoP+{q|+R%qw+R++TK`$`A1k0KHAB+RUZ
zN}&m9C(s1knGJ$~BVh*L=#sA;%+8}e*8Ux)Pe&B!LaQZHhjb~>XU*L|XM8RL&!Xne
z+Tbww=Q1gtuLAKrj5VtX$$HyKrd^a#Fp>okD*C(vonb8+R(D4e&V0}Z19#8_+yW&C
zI0Opccm(Po$D|^FDoR+M9%Y)Gmsssv1Fz59@b%J(MrW#y7ZQFiTLORecTK}JCHFG{
z?88k~Nq;8G36-Z<+*ZKVpNI7Zno&2df<O@tS04L&XbSOAgyylwz;GYUWF!m@yYn@g
zKs*YJMip7$OBb+?g><xsXdX!rG$r;E_;qyxmN_I1ibvlg^4*q>nC8J$Uozi~wmHCq
zk?&S|0_ZTBlM0z`oIwjuP5#K~We+6FKauRQXKk_(Duu31&Y=mo#as|@h!(!_OeN9D
z^4C~xnQ~WQbrPB^e<j1uBIi~z8i@!c>yw=&m8_HpL&*Y?<zGPaQbEl)i!o|eUKSHd
zT^kZJq4bQ|*w_~5_C>5&JDy15RzY9|mGX)0jZ9+o^nL##=c6>2ZjBcNia?MFu;w!G
z^E6@2>IUvMNZJ)ZBX2vppXNRiw#Rv$DV9wAlqMSw8bP@NWW+T;f1o+104r5~nGo&L
z|GaYg2>5yCAR&4ctlZE)*#HM9_k*xB+usSV5?FmYA^J4_^+3peRte6KomB6OROns}
zE{DV~0o1m2JA>(3QXg;D`mL#iXDz{EwR!_eBh$my!Aw1zJ{JE8y~3WQKJQB&Gd3=V
zh%Umo%zgUvh8R3$wB$Ifq+|)!ZpN25g|9pR_U3x!`^s}a^;FiUb3Zprws&T_MdUW0
z8{8i~B62X)D&#hw2@gG?ZhWOnp&k7(a$dM6OZZ|OyUS~=#;k>$W->8UD)QZ~V$AuA
z>QhowZu2vtVJ|c+(5-MO1iA~bcmmyya$x5BU^RH6yD1RL24qAbFb#IAxnZ@#Ei#<-
zloAjTZxPo-kq-=K9m|T&S`hi=(3~!7{xL^(MG*O=SSeUTOQKT}t~aob(ewpeNPm{$
ziVOpPq6%yuje;#ZRL0&%^my<(zr#_Mw-!xb59U=@>vR&T1!i$;8343${{ytijNW|v
zJO{qf<<PcyB@yp`wW|BYsB$08fO}{^*I9#M_p{uLe2HP^?~rCjP{5+}f~1~`sJL7)
z$hb3I=^i-!2If*O|CE_<M8%neEu9#&$MF*kGe)2-{T#%-nGEu%_?qKnRGj@b2T}1$
zSp>14?Cg)#dt;a&JJy-NtHyhku5>>$JU;HCSv6Ar41X`wI!VOL<q>)<3<SNEQF0as
zS79MxboS^MX-|P6*G+<{0(4CKBvm*2z}_9xb`QQ4-F}>RRN26QaU@Ep6%NY{x<DZl
ze~EgIYI;64V@142<0MSTRDRp+EJm@nkiGPHim!o6p`PLvO~AdM7X%!hVtk{^di5yw
z^Q@Lkt*PL43ydZ`hk<8NbGwN-4E||E4>MfJn$@D%YiYA3gep&c$S(#Fd!+n<sTgmf
zfpd4|^_)E|#O41E?fYl~ZjliL93q2nJR-B3H-&uOYS|i8ZOf=Hre-NZ{h0!ye&_A|
zG^1`r1%aaT*0Fj1DNP_Ai9ls4g5Zyw{(<I^0>M&2Qp7zH7!lMt@OV>TO|c?_I<yu5
z4@OX@G;(@0%}Irj4rkE9QxlJ(Nh>dlAsyF@Yld_xULklM2|<NvA~f~lEFf%7vVQ%3
z2F;{fv;~16{cg|%v;hpXbb<O^1i`Q0J7^v$5K3iCMh;wJmRC+UfQgxd$iYR>EP8)1
za=_P<%tO6V7&K68I&yH5h#cTv4ev*R-3xsFsRx0B$$G!FJ&_JScD+ii*LrpyGpJHk
zEf>;P;gAfcub@XplOFElTC<PtMcAmkTyz$6H}}0CasftT;DgRdt<|fY$S<-{ff>)+
z9LK-sIKDX+$MpZk8f!0E0E3Y8wFlxEAC2KudP_fym6U{o@uTAzk5{`WcRT}M^Hpx;
z?-PF|xEs2g>t#@@5XSftJY*id;uS6U%2=RUCOImM@sQP+xp>g$EA)qnFvgD<bN-^b
zQI85^`~({ILc_us3YS6{qX3I1jNvGEfF8zRa-ei6E4~Beu-nLOx-V$)`4Y%9ZzIZe
zpttb@tmv!-E!M0zCCfj;$gT)l9EO#G)i5w<aXd6i-HW2Zh4g0`uE?Opg;iiXFABD7
z2q$B9zm(XCTS^bED%a%$TY_2BbvFG^kgL!b1t&{u?KNzSfX7070^d-^4C*-ck2hGg
z{DNA!Ta0RGuk2`q-K%o@a1}$y-w#dTQF5XLo}@0L5puqdiblvKrP6;#G=j+z8I8aa
zJR0#f=o&wx$9|iGXv9U0q!0J$kFmvoba_<@L_9et5aA+MH3soaS7Z70b0Yk(buclJ
zbjNU6z6ow5>cfXzPdwqIlh@a#>N_F)(oWzL0{rnwC$L}yEboO)*`r~I`$!$8!w~nX
zy4kz;+AxG`v}U+(|7Ll@G&|T`3Xh#0>UpWwCM@pobp=Iy+#!cC{Teo7#T`ypE9MHK
zB}8gYq7eT|_SqAKcnB()4idjh`4O6c+czKxI2?NT#+c-CH#(bUm<PQ$p*tqNWgE<v
z{1b*g@ewX$Mx#6>b1~2@tjFAbO%8*9&e2_V5Ard|h2$|F>m{Tq$8EV*ki7(TF`k)P
zvVq3U-IH~!(|W$MUt*p@6L3q6AmES~eB+ZCbq||EVv6^&U2e6s`x1jR$|dHn7<d*n
z5@!z#5uWfi*;mpNP7g)F6OJ>g6uX7&4^!T5ra7tL3Fiz}RI7s=bALglhEyThGwq4l
zy}QWnc?|F?m_&rB(_3i*Zgmm_9CCzjW=EawwOX<ST=Pwa8sIQ>`WOSxqUKg78iojU
z`T^NjQk_b9Fak^aopgc}IsDa>wTEdgDyR}?E=HBg%VJQ;wVX18N|Ceu@=;T4t>LdA
zY`E4hx7|yCZeh09sEH|DMmb#l&JjyL3X}XCL^-~RYX=eK;Hy{WPye`BYk{28QI5;b
zhn-+|3VrNyABe#YT=Vv7J6ioF+~(S9xB9L6WbIkXG(HQ<OeXDZkoWv7Z4L4)kpd6P
zkmDm7&SgEW8c5ryB^=G6Z2x|%KbefddG@3WeM)BToKYK%<ys%4vU%<MldZP>f`@*I
zQ?WE>h`FqnYZz%AG#)!Tke&wZD1KKO=t_=>CElgG#q<18jZ^r;!Cx-YZYS@WeQz(y
zH0F2#9B9nkpIn)Y8YSUkZegW0Vvjm&7x(XhfY1wrd#igIkAqr;fY9^dp(h}OuZ-1=
zwK0ea2;FTpMytLE2;Ie)^B2|ELQw&s*F(czXjni<;Zg_)6=3lMgdF9HK_9gyaR-F#
zHp*<paC&nIWN28$)#Nv^qV!GuPtoS0{C;x&P|jEIy%T=Sj|G;uCJ@wzn10=PN3&sQ
zMTVd8Oaa2YP~QO-brJN7f_F6KU8Ub(y@h$S82Q9kIu-jcgC*!{qYN>G;>P%AR%3pa
zaVUhK|CBN3FRBZA`hF-J7)41RhO%C0n4l|M3W8pM#UtpBa!&}95H;FaXbqS^ZF=QO
z@zoM|BbDN5YT1^nM0+r`6~0}8t2p$9V=fEoKy9Minc^P~$`^Q=PO$}ub&t8Wd=eU>
zJyD1;{Wxl)DY<?L@(O{}kG0U0XClB?v!)-XT8;Tx*7W0K#+<)sW&L<EH0*_j>4(Cl
zpdSTTJo@1%cWPB}QNy2AZUQvO=BQkQhD!#Zph0Al^4{KO2k50ZLx^j&!06-zD>`f0
z3pYgxtXNt;8!MG8Ew#j~m1?WVZw%vc8tZ93_SOp+(K}+8WVg4zIABBt_Sl(O#y&C?
z;$1P_lNls$$4cR25a~p@FPNpO#))Sr(AMc*HZ*?22ztpz`{U*1<l$z7Eo!uBRTrlc
z<!&%44?sFy)F?Xg0NxMUPT$pwC3qgdBhWRT2f%)tgFJxqMBH^enVcL$U9OY^@T8a=
z07a^5{Qsx|&)6i3%|4oe{FNt|s}57h=|KLFs++xiZx7^a<7XWsJis0p>8>iiP;&!Y
z79Os;A0NEWp-YFc87p`{q-29LlgC)CHzV4axP@3rGSB}o89s?**c12}g-W53_p@mN
z?!b>A;0XNS8)HSBN01|@k!M&fnNqGN%Ied|?nmCQVBlHQ+<_ksgWt;Qk@w?V%@$q!
zO^j=}ByG3i8qa%_uzXHfr)6Bj)$bhLbRo1h2XT$H$fSsCaK&a`+QkC1(zwR47=9S<
z^DohXI@fS^WBcFrwTa12y}!Pe^vBn!(*(igl_f~ujJyn|ZxSrYrGh1-nl$m%&6<77
z#xvOeE{DD7953IxEQ3pN>QfkK>PfSzKT?pg+2A8Fc*@1|hp^HbF$H*h<Jt!1RJ8E<
z0f;Nv(Vki(>9w}C;S-+V2LUG`u4=g0@QDp?kw6cJ<^L$1E&d_6L;B+R^-!ze{{A97
z^msk+m0{y|$Nl|JR%4`0ORwOAj5&W%eMX3KfB!Qy?1hGTJrphluSWqEkJrOdZe6%o
zC<)FYDuL~=spfXo9b6kuKUV@WdN#y97<D3WXY~GnR>jUpngVI=NS0G^UyC%`N<|$z
zqu&7!^v(!N@SV}fiE?Meew%}x(S>mN`I!1rF9egfB|9r^j!p~O966{}-5*`%Xlq3E
zgzb|c8T#1u$F8s4FzCP}312eSp0YjE)9ZaO*6l5jD8Y}8?%@xPoCD*l8#B|W(3`0<
zRNd@dd+lb*F-C=?=!2YvxUbFmPFW!~k3L=D5WlO+F-$MRW~^P+apB^`XH4ye4M_E#
zY)!R5yfmQ`rSffw_DO6RR8aNu6b07L39_G_&Dd6`6uKGf(*)d`F+sqw8N)ZaY-=0O
z$j#X8R!gRq%-v?}1q?ikntL-w!w`{$_g1p6WENg24@MT=0<es7k;;BIwd!Lu9~JWO
zID7tSRNt@u4MSenCYK2>YLhA@dp49mG5hyTvVR_J`YLBD=$@J%(*)ewBnUXP3E#|)
zHvP_O$&znvAEz&5ci*+~8wQ?5&8<x|3=!IN&`Bn0CUsJqN_mLUrekP6DrggDFGicn
z%cA$kH6xndpB0WpleGtfbdDvWlr@Q+PXbZFlq)*rd9G&zZF4U4-<fg^&8J&?1%V<M
zY`!z?PeK!zGc7EF;J-6vC(R=TLaDGxubWHW^2+IHU^M2y>vjd&BH?x83qR)m*(6M3
zsn_kua|f--2Bea}Zi)L)<YEsl??}e4?<s#<KuIMS>8la&;q;X>?wV{!Pusq>0bpp~
zDY^-0&$+YhoiUI~XWQGb(i*Wd@HpGjKP=1Bm|>mH{APbCJkxw~C#nU0?wC7Yi4P<w
zZB1(RMgyF4ELjO8jIVR7drDL*YN?YyQ4+;A4xbP1yY75?In*ln<vs%sJ$^ZSWh_uE
zGiYV&;n4)K<8fHW2du`-d0U?*&<`ZC^}f%T^B2{ZGf{rIA40=kXqaD4;ZpF+6=3oB
z<s9YKmPmyf<*ckE*c7|{+{XGmaGxrH6Ok7wtM{;?bjs@SY9(IVu%ULj^vIx)hY7r@
zFXhI&wm<lZrYQPF!aJ%m{q6v0iV6Ip+Cw+rS+iC%_|}m5L$kFdJ<|rQq$CWQ-G2F?
ztz`WAJ6sqvvPqc`_OSp_5YAY%nSsvOw*<5*oUwAMh;qit*<6`$hcouqzys}!#S+{Z
zdo5tg(^S}RbKs0UYogU|jJ5mCvB}POB`@rWL0(v$OjY;m9eN{pRSo2qyYIlp?@HIZ
z<IOSnP<D5huS{FsQ*pxj8bqf$-DGUM)9xkX1H6Q8Q*CRfGYS6OtGa`Pxo-J4xFFFR
zinsfZiud*gOZ`o?qrJCNs&4j{z1DlH4{^b5yTW|S{k7&pW$f5G<Yv|7ct>pxSNc3`
z#&Xn7?NRyT>oLtcbvQ*{l+Jy=i+O1|jmbYvuwF@m<?&Cw94eVRT>ljYZ>9;jH+O=7
z!#{;@jHxj1?{40s{Bf&gQ_J+VpuWH({8jER{l4Oq+vl<Wnm^2zPVd?@K3VVeW;Wvv
z>kBXy|E~hHe&@kgXpY^`3If)u89XVj<uOe_+aLx)!f2FxP>LY<od>_9d89zF)+BBp
zAuWm#KElN(o04nF7wID`<-za~mR_j*SelaxUP8{Gg{LMSy3hR%F5!9R;8Eq%cEPr-
z(CbJGXFfFT+=*nLJ$7ybR0_3oXVC=QawrHm>>R$C8#{Nk)v_svvu5Yq=I!zVqJHz%
zq#1Q1DhLFbx9v0mO@3$BycI$4o44C&9w`tkb#$9IS^^`?+Z#znN%L09L!5d0Ak9ey
z^Trvp@YKYEG;hoD9Y?{8&F2|#F#E!9ros9LvKJnM^+l)@YOsDl6L3qGAmA`q_{L+f
z*fCk=gmb86@d)j&t(JD%Kr#B|tB!{mcosFc*3d9SXwAwenW&l6Nv$d6!O)ud>Mk7k
z&6KnwXdWu)3umpOz8q1qD=#R~fyD}PMc{g6cK$T7^By%j87hUU*@ZL#x0(q84mHC!
z9yN>pNd5n?+A@W&!b%|YBlXuZ{48>AO{0;B(6n7-XGu*f<-yRjh3Gnx0?7X`MefBk
zCl&OKGZ>?9<z+EQ@A8J2LHhmO?y;hscYbvK9V8MJ1Tgrc^MB7IP`@?KzYe{Z=F+Xf
zf<O@n$DI*hrU_^ZjnH){PO9Y-UI7I1Bk~W@T<$&$57Pwp91O&V;r~MONP$qQaxzuH
zrFD7bv<ds?IY?FbpSUd-sS4cn$%5ypaIb)+r7u2v+Lg@tE<Wp0+uo`h?s)iMJmxX<
z2i<lJ0uSIzZ$L@|T!yxz*@BOfFqeI;Gd@1(<~a?s*`zYT=@F;E3_6^y!GEGY9>34{
z&)L8oCi(~Kl>7@YPrP^nPjGc1@(=&Rm2_}ZNweOr9os&Zo$LZ%WWNS6A^biJAFPDm
z;{!XCQ$2Mby7|@Zhi<;hUq6R_ltaHh7W(vftiit^llRM!%`q~|XQ$4N;Z&w`oPm|r
zi1@**rE{$3-uyh5<Kp)8pfA*Iy$Ek}ub3D!>s*!e|BGx0`KKBk7CYGz++jVW{Wz#q
z$l<sK9)j?>Zd}4wy6%<SxCA|y>nVqmdfIBtT2^Y)1_q@?4#yN@&R<lYXrppCy3nu}
z8s_0wxD;|Y3b1%`I2`2;C#6A+aYmN|vuL-SPdvW-jjKwa)KUR1XGQ7!jZ<~cZZ7S3
zs%E6O4&@x<fou+8(*?Vd5-wii+d?yW$#e({!8ac&XqfoF9T?OF(=Q<2F_sw}Z()6P
zia);6sqB{cf6{8q&$1@|pJ2@Si|XQ^-U@|7FC6<cl=VWx#9!f35dQ)!9`SdSJF;9n
z)Ieteg+UQ)D&>msrV>zN6``G9FLqTkspWS@<#Nw18pE?caL5)W;BIHIt?5vN<~xM!
z7rczW1D<tJ^oxXdRHeZGhIQX5@c2rnQX=rUdl3vfc1z1nH5>D@tO@)Qs6^d8Tv^~(
zK*L^Wn7}Js3Ibn%#Ut>Ja_gfcBA5NRdY}e2?Q%8v)$FRlrA6;vZ3L5aAUkJ6?P8X}
zQ`0hd;Da=M$c^sd-U61oViUqQ7(83rS{J!|ghKjUuN0PS!Z<fr7`;Lw_2*0`qE7w6
zSK<1j`2pecT?m!s@V&-rE=Yr}V(j^gR@R_rLc?Bgm<B0i3K~=Z#-l-wavNhsM-6-y
zT^01m=Ac}Uo>BsMVLBn3lqr^*1GH15SmHh=FvW5cD;lu*5*~n7gD0DVv@a8%g~dk-
zVy0WKixN|D^WJN)(i*v81pbZBcfux?`5oXgPP7f^i0E`{Y}cDls<4>UEC<gf<nxi*
zNT=^cGCUQna+9jJytU!<y)hkzd)-twSAl@N6Dm_P9Eyt=Si~r3U=0E|#%P29((leM
zo<(>-dj__ET@RxT^UxLQiRw2S<uAu{T5hqwh?Nv~g;CA}j`@f^fK~X2nTv{)y%|n_
z7{iE;{{Dde{ZKg&edIk3eIyWr{{BkKAhmUnFQ)caswSSBBk}tf0OUyg4lDUb;t8A8
z#kj3T((bn=TI2AwXGplMO?O+Md$6BVQj!nW&}nM0LR(OMNm=FLbUC&W<KUA<;{bqr
z2~-XoPedSYJdr@mc&?J#WDe&lsZ!3-JT|8Lax{;|O8(Jw>D8%N#i>{9&2akU7)Erx
zS`9Eg2`UGU1M(g>4oDy$2YUJx2LuiiMlkAtfb^jQvMQ<Aq&C7g+2r>uZw1o)fIuC3
z$`1&z-{#<ez*FHyuf|xtHwLb^F}%Z?ec7_oNr6p4Ck34Jsva4*+u2&-la|KEI(^3l
z)Lq~5*uaT!ZU7%{-PO;(d3nl{p7g|1*7Falvu|XYuklk}kLF#P&n8unK0vTt)y>|s
z*B&5n4tU`t!6BYv+<JN5s(FR2R&G;h#Gft5kxXBN%~)p(o@;*>bI-~rcN=Mk4OW@_
zi1&HA{g8Suoi*AM6Sco1QS&6(ycQ~jCfU53Cg2Xs3IdKK8+@ZL9jad`^I5B<u>CV}
zs30(d{!<J*i<&#bhQnaaM|$dop4|8<)~qHZ{A)Mz`f|4sElAEvL$amxSWis}`d1o9
zch4T;+y-5v@(4}9EkS~SLxS*)M}l_qn98yzn=M;otcAODj|?GE?qe$M^zFq!+|)^b
z+RPf7Q8%K3fFo@NgMg+?98VL7M<P(SiXiyYx6h<`q(HDVk`!@|1V*ICJ%ePFOpl|r
z0C+Id<2HBNd3qfC!yMKo%}IsyIL@GjrzRexg)4sK^hBOYtKV>~eW69{g|sJT_iiD(
z=a~y{f=Z^|`48N^lqTR7IYGc7NBG8L$@1->Ltl$|-EXm4+HK3l=$EIty^(=uQFE&k
z4MT)FeTM8SsZOOl80xg2kVcFfz^|sPeVgW@f+}(5Dyq_<?tN2XeZX{w?XTq8Kzm~L
z@E2qcJ=*l|Od#~+Pro+(ktX2QCPBcVP55SZv}yGwvn5NuHS-p@4hYnyl|Z-Pk#TDi
z4MT)BjgoyOwW*W`Lz@<{jl7gP@s}xaXVbh?&?(MhMV&f)yg6uJ@9{YlH0uDnwCrl}
zh1u(8lD+om+0{%`!t`t#O~9>Zf`CKM@XhS#*-chUdrHrCG4L#EZat%6h|sgwkbNcf
ztds{s&-lmf#Zt-jrTcf$oK(;<&R~p|m6ydc5-zWfc}9Y5D_CD0%cSDA=F4Q)^__XB
zVMiL}%cL*31Wubq#41^4sk{1}BbMF(8{j#}QhzaS=|z@0ccQUm=bqSZgRIk8>StUE
zj&1%W0`_UfdTqS7oqwQlFpa?|$XcIH#xYFAzT{ZD?1~z$M3{k9m+kFlE6TK{zs9j1
zPJbCZ<k)uz{O*IUST;^S7afIhDqh7m+sWGto?^}cmMzsp8)M@le_$R~S|c2^vzEMl
zqVkpI8Le<}X_Ke3PD1Wp2h#3!$>dYFna-;DSLH5KwQH^X*9P}pPrdmW3{N4C`!HzA
zlgEv(j9Jz)a8Y;hJ<)269xjo`eF9_7UsN}dQF+`?f`+}&u&gA7OCc+%0E;Ip$x&`?
ziBu@lk(HGMvtqZOn`d7x_hU-nL`4yI@g2;H(z)D68;;&w^e=3I$V;cOOVTZ0u#k4^
zsltLqW+s6jT^9W^;T=|)iPvOZb7tb<E1gP7CM(Xof_cZug<Gt~{468xLgJsxnDZCa
zB|d#B6b?<@em<1-Lc=6p;Zl(J0xTYhca&Rc3WFNd%z6RxY}YQA=cELzNO?Y8MT7Iy
z?7yn-Y)uWOwDfHC1!!i`)fb>$a;|v^rA1dHEQ|gz=!!0RehKgnqLl9sGgO@Njjwbn
zCGt&YYJb&g%+InW-(P0T`HNPT@2^9{UTBznD_jclU4X?S-;Q$Y!UZIk{fJ7S7dF*$
zz4$;0$W`=$IqWFC;05GLr(7?>Jb;T&Hzn3DIo`pSda)lg<yq<At69^FVXHAe%bH$1
zmNDlqT3IjFK*L^Wm|iGc3VKn1#iJLFat;yq2?(hdzDl4MHq~;y_{%Koh3#(3)#E&L
z+tqrlXXk7GWIJ42%J-%?bGYV<qMJ@k8^sq2G`2drGFariq9C>8GA4-5*#lqAnwB)J
z#{8nMX-UGE^B1kGB`GxQg@$Q~!lj@k1z0><;wX1ifSjn2&O%CqUf6WX_2SYJSPSz7
z*`z#+usT57M9MmD%Y%|Thtog7CKmh)r8(+Lcs8{9f~NXg;mI`TJyBvPya?~aN+n(d
z?O6V*^YPP|^`1D*Ew>EzW5rlzzkxyhR1BZsLmE!+2^drXKlW#q;a@J2(eYS-?6C1n
z^_C684`aF~ojE_iO5wv0>8SlpFiTaf4!@I?Haov$L*uu2pqgy7e_mcro)1CTqDGt6
zc9A+QeScA@)6%i4M$vJ%`cuI+(08k237$HA%o*_87xsf6?6)~coj$A88{1x=Y&FIP
z-N{NB(_we3>tw1XN}sPcG6MXHly7#$`Z?`gEN2-M6#gDdcJ`BY4^M84UIi+9(V*UK
zY`MBS`Ka88ekKf~zR)nmpH67rr0VX)H=^qUQ^;dpVZP<*%jQGVc>a~@a(vcu4p(|9
zHe+QiA6S$cZq4)ieSJmr1ge!rGjcw#o|>H+Cp+Z{NsmFL&_t>mXaeq#v>@OJN#h$`
zX7!|E&^6v?%YhE7>;?GF?D-3=mQ3ld5+Oty<q^W?Gw>{G?vONx!9OqPDR*03&1%sZ
zSr((ME@?EQt@wrU5PMZbdYGtbjllb6djv?@<s<Vh2BDs5;m^zcEX})HtObE0XbWHp
zu)z5SO+Xu2eO*LkC^H&WK=9|~{)Fa{0-;o>WrW-%t9j-0Nx;G!M943LW^v8efF%<*
z*evpTs_1ZOg#3i_6Sz-gs?|>5YPJMUNp~S8z70N&(w0}d!QEi>8e8JjuD;?@6%>!J
zsH|GL@Jz6c;IP4eVvcO?J2N;Ngump2F!$l_$HagscT5LkB_%kxkN&xKt{Zk@xY$tV
zbh8tUX*&<_LEH;$Fh;fEn_F;Bt`A?CYfYfIuxZY^fy0{Sg-gqNs)U7Y2iFI8PTxKK
z8SpQ}w@08UkJlGp>GD_-4WXlb=U9zd^QdMPHGkHbj5&W%-GWBNx6gxyz0fd!mcpgr
z&nm#;@n<>89Y#oo8sUs81!lr-H#e%jxb`t6Fe2i@)qxrixcObpiq4v+=|*Tymp1>X
zBfG-Wv<oYRE9{y+TuzLtD8|9G<#OF!QYs&)l7cW+FNx_Cb5z{UP^CLB#tJ(>%VTA@
zpoAqdo~h0=JM_+&?#VHG8&(P*vn6<iPf{133MekY)O(Y)PY1K68<F%GP%SWJAXAiS
zOL7l1Sx6Z-?HwEWkCm5`T8a=xjXY^1QsJVK^K+DoO0KNbh&o(U3{>)TKbGJws{g>>
zn2U=2HWw}`oVEKMenx!`T~s=msxGQC^+s$L)z#g}^|j74yH8|O?flkwpLwjtTAk5z
z@p%5lm+|FB^ZIqS%-l3H(p;1s6LcMcG=zbrO~qSr7G=k2=hRYFcQ0Pr>O)d=PML3o
zbIN#V!ZobA9PgaU;Yts~W-RB_kw})`V!>RRR~O_($cNuq1yw|u{N%f}G7VX;o=A4m
z<E+{Ml|r3WXVC=Q8(KlY;jF?p`dUPHR!K<g)i64%@SQolS6eOlCw6@r+I?@p<qSNF
zn%h~$Veroo(gF1<SkJ6u&1xs$R~q)GAS+A6YiUu`-zG{sX_VZ2_c<>?=i6UE6L8Ci
zAmES>eB+Uig=mL)cZ+Kk{?hFG-Bw%Hm}v`zKndYQ${j|pX82j;D5zsZq`WNpGhGJE
z^k*)&XETS|8D&gxKR4Up8nntWzR!iRHl)_65*HphlIa3yZ4P{9YmiCdGvo6JbJr{q
z*p>RsHe8WF?mk>N3JwnTp#!*&6q0%Ra0zLjA1c8tCERl*^(o~ri>#%_HT@a#HJtvN
zU{9`AEkV{m#=haHk-hf|1_NzH3QGzG|G(t$&%L+oPcdN1jocrw(i*Y!n6<+q>k$mK
zYH>N$K#UrgE;4)mw8x%p+H=1w>07;@K>rK=w1c53k3S7x8MB5pK}4Mw*<dy1XBpik
zB76Qg#+<*XKEp)$(>6lGUTBy<P2p1TrxjrF_|qKa4$1v#x=<)vk$DP$`LJ8d&8*Lh
zwz>p7#95pUS;dOdr$derOQYIIgYVon$h}-`0&j+d3tB-F_=?Ir2&EQLV(G2^R{dtq
znF(M*7dQW~dq++tJ#J<FaV9<DE1ilxKbu0m5c?_@gZvMZ>E~F@`I*+ldM9JgUsM<C
z^js($=;29kg0fz4m{@Ox5=`9-VvTPMU_4^&D0h$)4P6ivPMPyHh_u~Oxk!%zk0q`t
zQ>4izWn$y<fL4VI6Q__sN7jF`qO<01z7LqxhsQ5HC}_gn{7I}-GUI9Sq2q)bMl5~s
zW@Yrh)Eb=~ZOn0oun;>3ASW_Vu$U^jM8wnrLHTA(-<fanYvDtR7|rsK8Xo9!uk^2D
zx+jPB7g#BLXjhp->)Y_z#ng~73%%%^P#LUh!7`fx+M3M=hDz)K6Nf*Civ!{sB@VQS
z5w2>vIF^fly3#!m#09aJ8yYpt4p;TLz%HFli6ywJ`ZPd`yQ<l5ephwQ-AMEFY#G{s
z4TFAbvNw~+#Rh*`<4^0&V<FDG?z$N;J<Vm!;pPHvshaCyZ?GRVK-uD6XV4vol;ZVR
zcYd}CJ}C#^2<nfC=bN(?@(CW)o7tQ#?Iry__y>D4+3H4ToN+J;W~mJckBymZ@iXd^
zgQPce=ZtV7@4q=4+LpBOqbr>*)E|QGK#03OH4T3(=VZp9?d##sW#Ug<$ZXD5_B-Qa
zTkGT3<69uN2>9wk=GB1{old{qfolfxmzT`XR`!zdK796NY$r^EQ#0^n6)yLt;lAgo
zDX7|mCWrZxWHMn-#&)#&&9QN~(Y^;P14U6mJy_9AraRsK*d&}bnVh*~zie5vKB@j(
zl&wy7wg9Vsy+7#5LW{CRjb!U!8??7-N4?v|^eSi<_OkF~sNb!RC&>5Ai?UTM{3zL&
zI@+5J4f+!sPTSCHZJWssH(!n=-EOBl2A`j6OeSza1^XZwtc|k$JA=O2$|BavOt!{)
zV>OX(19{9=@pf|_WbMPv7gpu$0PI5#fNBCnlhCJ`Y~^IVy=_q6mH^@n_<O&kJ(C^O
zO~yOj##ken2KfLoEr#@B*z-?7HvtjI{hjV66D|10!QyOHeE^}B{86@F3xsNAV=y&6
zrUVawWe?yyWzuceK`%CE`?Dv2Zo7xWpFf)JC4)w1Z08h;)B(xP=}s>h(`zy*8Sjs6
zZ}nPSME4(Sw0iZelh_f#<r1k7&Gp#|=u8h(fZfavjjj~M*sagKnd@e<L)l60R=WpY
z4afn85ysXUFyza-^&RR@5Yg4BRUkR-Z6Jt~t*KUj=4tc(>9>orRny7z7{CHwA8d~^
z$X4K!t##lY)g!Al`~B(Ori~kS?AS3ny{q5sv`0JLZ5tcO_Ki@ow{a#r1Zyx>aF5(i
zreL7@FfdEu`G#XoI2n*#)twl($l#Nl%;AzuAHu4=(N@x*U}T#8sYxI))UR&^Eo$_e
zGnXvQAi&*%%de$+D)z^E(<mXgWe4<jwfk@#bhEXsISK!R{4SjAv_afg^rq^dXg3T%
zuX_O0LF{k-=NNoru@0YKL}=IGx2x*oFz{U8U?>@cQ2YA9G>}*YMycQG!{Bi{a2rTZ
zXS~&(02z>m;XpJMy}?$q+yTkd)}#Ttx(jGElcW!=9Wo9Juj|K>sd@{%42?z?J_5=3
zTadK3&%lI`E#)QxbP~i1zO~i@f$xv?>)mY$m>l4EH4p-E>4T*NQD`I+JqWI42O3Y?
z^(kl-9z$yr>W{^!77g}%2|nb%r{~~2awh!fWkdKF5;0k2_F{9dc_hT{*!$*+=IPC$
zY%ymhH_3}&HGz?)BQVH!B>ZwZ^AZ}Vu!~x~sSZdiu4dl>w7?(s>b><sYvBTe?y?VV
zG_Pw;q~F0)3qQagw=RMox8sldm%xt)@yDqv;K%9s<Du2?<EQvz^P%wLO8oIR!|-Dq
ze|&Qd{P-UJIJ*WvF2Em;JOO_E9)D~&4t|`3KR&u1e%y;c7M=h<hVaK}C&G_2@CSZ_
zmVF(X-SfllKw|lfEI*fdX_;qxkge2JhmHHn@fJ)jC^#Ss{0Uk}S&j>s{)CqUu>)0`
z+S-{^+Q^C?Y&}$^hm017Bvn@FK%;$_?7DrNT@SI_5^v^Z%fNoKPif#pwS2rYISDEO
zeSkT9$$9vR4S0ShNc*ibSAYeYu6Mzvf&BMi>fi*G88;p;SC5&pEpN5QCkG9%o}F!|
QXUiHm(+H!?C1Ldc2M=zIy8r+H

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f15edeef32528fe431764dc67101f6fdb83a3c8a
GIT binary patch
literal 4751
zcmd5=UvFGT6}MyW+H0@Zc0wYd#9@<CnyRt4ARbUbfYho2EH-VEh8C$B&E7k^=f?Nm
zxt*D7uMtHBwI~)Ngw&fS_zDH_4J!4eQa=SBp$~oUZ|>jqqIHURsU=H0XU?2C^E?0V
z`>iJ*Twcom?6yuQh^GhK_hab`o!NC?dTAtLlYNvu|HtgT?2hdyexhZnJdxQYaCj7i
zz7lcvPG)<K-2|aND9^8H;h8|j^>J!Zo7UdR?oh|JOkhGWvt_%laKrm=2<{7|Gsg$E
z)dyng?w{NJFw6CUz$><$aA;sM+O-{4t4u4lU1~bCt6>m}Y?zL?-QdQkV3ZoX(7k9S
z@U_!^%?r8KAmVo`=27u$-A|KdG2-5l5@W}c+BL%`ZY!g0x=vlXK`XRp-yXcFq5j}V
z$AXUr-uGFe<Rjpq2lwtXB@(Fz?wzkGISxXh22fZJ3PlG#Ho%^59JmDz<Y*iyjrZL=
zyp)b;voJ-2<xWMgYrmF$8bb3Nylc(6f$Im*^~FNhA>DL{(02d>-2&Rr;Qv|tKZpP4
z@kDwdf7*V*PIsX|8wzw_b{Qoyjr|$(6_%wX;37Sv#H?w{y+s$%b^GmwPlsh-Ton}d
z=mxPDroM0x<)&JX_|zAPq3m!KHsnd}aIp9!l%wp-wkhy^_~)73Dv#EL^*D`2LJ2=R
zT(TRvJ8Bt+r{LXyn>V*QAYP`u9DsG;_w#ww>~{I){S(ELM5v6<1Nl>&n*kEQ)6Xiq
zmGHbWw_Xev4e1`DXlS2V2-^WaR+72x?9bVSj3cf^!+3kKL{A?#d^Z>K)t7$vVjh+!
zi(I|Ci#eU86K;q}#YX9P3~=3pE|5Ke4XDxd0*oHP-VNjT7At`a^KL3k!~4QwUTswB
znG}A-qF@@t`e_C*$Z(ZpL9e^?n2;hv$26ti(eLRG^gjKGJ`i;OaFrem>CH2Gct*cD
zqqh#1=<PH5Z4s-Li+15^-n@$v`#LV!v2DZEL^K({N;7qqu>B}cGW!b=fb-8~659$i
zPGyf>B>fdx@-P2umK+Q2AY~)PV~@@y%6w5J$^m0R92mw9lGB%5YDMOVCw)2YFIE?6
zZMlk0gyj;njeRlw@7%U1AZIhw9lM(FKxOt;0n?8!y7&pThbH3=m48$kd=t^hlYR$5
z!1LIeLB{^%0R_6BpfK`@=;J3khhP#5zi(vUWyAda{jpSiL!wyJC9bMd|DTYixcwU-
z{_E=(w~xPxSXX|Kjzkl4YlSoECbaAfX{KIp;CR`JRP}mBOxFd$e%VvZ$ja&chCU~7
zWu^f@2eP<hs5>sY>wJ3I_PkWN-i+0qShu1S9hqI%!We`o+Rfd%e;g|r8-e!1wjc5^
zMWwGAP}&~a&P2pQaU&J#KnG6}+VCjBVzao0LG}@r8|5-pAy!+c(ad#lZWq_JT!BB$
z?B%hPCYA=trQSSTwp*@wMTfwq@ZBf_rRS1K!qEG;o>)WV^@1WokyF@7fI3z6k+`uu
zP&SrB+jae)GAtCwBFqji*$v`hy=>WCF-7jeYfP#urj~8_Vw6sBUGIde7+8S=wu(UM
z7{xu|^v)jJUJxg#VIuaV53bC1QZwHF(LUlavp3FfGNBX-D)HDy6AGN2s-DU0woJ`=
zDXm;eX7}cH=0wmJwpR#k6sV5gIKMG>((bqiXrM&EC&Ys?yA|?yk|L!5ZXfGQXyNP?
zB|NEohJFvufooh-IJ9j~#$&t@a0EWuZ8V3|jM}!xQzKbJvX=sQ)Rvz{39G#hsOE$K
z4yR%sI)U3c1<=OY*}fqqTBN>Y)5!VLj+mmE7pOPQ$=pRe!;S+T6#lu*{6O<j=pIsP
zxmHC3-L+jjM#KMk*|u(#Y^-i@ueo2i1XG3Mfq9)Y)Ka^NCbeF|KX+Y7!ENFRyf6%+
zz+}H#`p=gw+e<`(0*TfMnB|al9VKu4Tx{4r8I$Oj27{B66BJHEGCq)MGVsOm0GxV|
z*{kkEt_n^tBO(~ez%c8e??3zE4}ok?jlH>R9HqJDMs<ym5>sLz%s9V>OcdgZj^QJO
zknei=b-M?Lj949;wfan>*a-CKJNh&>e99=8P>6px?`kNW-*<Jy5oPbD2x<+WuH@@t
z$wKMza(3AB2qn#f`HElz$~lBMeUv7+!cDaKTu>$f3=yCN@fbc(WrfQwPv~@Xo^MBB
zwD1wAr?`s*8mcpU)e9v*Vj|)}$S`Fqk<Xit?TUzx-EeBxi~N9qgnOY03E=RC6&+bV
z?d;+rxQjvO>^fIBioS;oc8*$%s~|(#xL&kfSYXlxea#Vz-*@P9`iwrMPg2`)RCAgD
zF*gr>KBP~FDcy3vKSN3R1k=kC`dezZW=)dI+wuZrET<6eC@3!SD!xMTSxUi&IU6R7
zMl!6eoU?vwj#zVd&PnW4x8{c~pOcRas*Fq7SLbDwJDB&77d(uxFn(q?JsF088gD>h
zSbMpoe*`2x%-(=!qxC_g<C}m+N-8d_)59zovvE(KYJ^8cZ7Ns!?SuX~H|AZlul@qC
zD_55Kg{}LypVnjFcC8kQ7K(Nm*8Tx>tv-sh>H4FG%S%fa6>C?aKL+3Zr|{WUS+17t
zs`C$o*)NB$-g7mh_z*;YFTbxGE<@&{*9&=evqmWQ=go5bMgUISH<k_GCG#@xxdtO0
G9ef3X)i|2~

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.filepath_or_buffer.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.filepath_or_buffer.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f750830b1f76c28606a2d767b852c8e63c60170e
GIT binary patch
literal 23326
zcmds9TZ|>gS)SS1x$n+iY)=rgYxfEn&&oS9MzKshwu!w?Oq_*T<4b~AR_#9L^qKD7
zbGncFvO5C_I6^_YN%4U9M79aWLL><CkVKe30ucxik{IC!0tyKs4@q7~Vk?Re@&gj#
z`>Xm=eXDbNyhbdRymPv)e|`U@s{Z<`o}T{54d*8Kf9y~&uxxi{-RN{&uVV&7HrMgm
zQQvgK;nm^E4-DTwTxIjVaVhX3zikfL1WL3myVvnecX)otmZ*4W_k#7f{%l~jL)&xH
z>ejS1W6ho)u3GbKI<&){DP^&v57|9)V1$--*4Iu)-LB~msWb}jf85+5Dk{r-aL8#x
z<2SIGfdOj5p>>4K>nZux6q|{u-eUWEwrdWzqL#rHj4<@=Rup2iG`cCf6VOOz+dU%)
zkci*YuF)62<~q?J`)C>M3%=Q<G7*~%jcv*rT8FF^>wtC4nzD|w-o_Jw=?5DZ0@pNJ
z8||Oc2fpV3lVIcQW4dn+ykO%UMrb_ZdtD6O-vGhEh9GpKgA5es8SC_c3PuObty2=g
zq<g;J;xMiI0fv0@nSD{qnqbqm+c9?}WCiHfEf}J80(kxe{=XIf--iEB(r|&8Z}UN}
zvi$?Y_J{1wzSoI*<~>>yI)?16qS{)cTGq@~I5Z;bc56*S?~j_I*ENkW@=d+v8*bam
z0mwfR05>WC9PDlq_<+IP*1T@BQ3Lr&AV1IMA$`WSZwxF6eRldm&kYUR4YY3La)k&q
z!|iCXkZE1d*DNGJF1NLWHc>>dH&_>XuzXFL%GBjSp#6Z5)h+90(ui6aA?CatB7J=^
zC6OjDXI&Vu!~)e0G_MRZ0eAu{#m?A)4(TwBeynn<C$&}E)r7b=5|@)hc3%_qSTA-x
ztkf65L8$+J*zUF@e~HPRfPqGi9@sEdq$pAu<`g?wO$0HsGMm~1?(Ru#?Ps)bcK}>;
z*kscUVBmxG$9D(j&qjvdIroH%gmb#>tv|-K>EW}dH2ONd3oHBZ+4HbDd<K|c2RJ!2
z-H_!>rWk9QHL@P5ZZxcwslg1yq*t#7t85XFtqm}*5S{EGk<E3Nf15c|I=|EJZ3Y8_
z=Epfyf&IT|4oQ0)^wNzdhR<CurmaHu$WB1Y<~j3<oI6|;qr`BPGxGR<K!yJt;V;0S
zqi)N%Tko^pPayw#2D0^Q+@yijqnuPS&3!X8{hp1<Qj)f})JVD@J<*!9`q))h(KVM9
z(m1_{)X{RU3075Ed9+@vM~h9mLqirxg5?Fk@;qnTjT{RiXh3sOWE9qCY;rRp1HbaU
zep=P*pxo;x<6f89q*iF^dATX;_Y&L8reI+b+z$*)w?k%T2g@u8^>{V2EDGmId|7U{
zem280*6en?J|^WM+c((75(o*fYS7wguG&LhBsBbOGaQPZFuU(=3VT0fr<z!BG6lPv
zqTMax$CrT2-<GD^Pt@_vteveAxqlW7UM)2!t?`nAzm0;i70MJu7-HYVq~Hb;((Jx#
zVd%e{a5rV#ilW(qpuFCkq1L}-+_b))<D;@;nZMRIt626QP@zvHqhXWhQcXFRr`lPV
zoS0A${+A_2ld4ebWvr(8d|GJ#$JFghe3vC%0ZiP>HH6@HHHl3iI3O=33P{|o?xr~s
z`OcaGvhS3Z2nGGj87JrG)U-B%WKmjC6?*w4buY~k$@SF~kV&!JvoHsoFA&;S6Iu_4
zq=NOW|LPuFA8l)YSTdnfo%06muHi|*6gy-Kv~clSwB;Y>*NHQGn@Fs$TQh8~8})j8
zJz@O@%_be|IN9<ulOW6>v%_b4Vbt5$ddd!*WdE~j-Jcq=d)`6IqCUJL+9k^jEz{Qw
zZQH(Rx*Fy`?f}wk>_^kRsfG<}?086|{SCE|s)_Ua#I+UYMK$vz8K&{mzVy0YQ4{B!
z-;Ku%=FPK(u5I=@dSR)W?Bw7)<N4B5on^&Ui|fsWN0Rk#knl`SN?Cx0R-C_Rg1_@w
z!L-lNA0deo@*rAXXSYPDBz||5SHjvV_S)EKu4&vI7<w9{l8av^dVCbL#$M{#5MQH5
z`*Y9Tmbzk9D{1agT&~Q@gYZvdgTNNa5jZg0cGqqXFUvO4c@C`<))LM?3cy~$9{{z?
z_GzmH+elgR0;04qm|%yKVVnJdWdwF^;Wh;<5;pVS`Jug5Xuf`>4E=JxFUb9OPHufs
zd8r{5)dY*VGw9iEI~-oATa`IKK*P?r@XuxE+w_wlbH0OrlC`pvA~kt(6i~}-TKo3X
zSBrCR3D9Ns;|keI;Zl}@rWD(irh<Z(RamMO=kGBv)k>WZ|1!#;anh)$rEJo9NfiAw
zFY5d${v>uiHVMw>q%=1BXuQgg)gb*&N6Zbt>b|`E)pMQ5jSax9R4Fw8&dXB2f)+{X
z?+N|L)a<SXK_#~*pI^kBLMq-hdO;~Wu@i}4zo9nL@v=A647hZ66Ra><tvGj~#+V{N
zm|kNMSQH{aPCT4f(D}+T%cZ5za8Y<~li?+z@HkZ(Qxs-fp4T%CSI|=40j2qQx_V>N
zB^xGZAF6SCJ=!p_v}d(-ve4uRc5=3xqst|lPxv)ryV^*65~>KfOO_bcap5dhSNa`Z
zNvtRZFX8#iS6LNsVnHg-HHwSe*u^4B&0-<UWzKn#c)&e*()X<EiF2zfWGQt%`_WNa
zOzYkp_|`dg<{=!Ho%K)igR*zgF$>nWtK1o*!GYhzj|0#B{Y}cRS9Gm(-alEe-Ikdo
zu)nTotI|g={O>TU!tMT8r4#;?=E1wB!yjsSolP>r+I`w>{%xl;(`|d?b=%a=4#+oX
z^v)soJhHbu*F2>Krg=g4y4}DGr6RT)7K&ge;kM09Kpdj(9VfYV({k+)_dpu1>xCuf
z<BVWSVwIB5yyE{Aq(@#G)z3|_)64lh)mU*pn^t6>ziu4x6>P^zFZtjvq_WZQ<RiBE
z4Qu6@@Jfnh)yd(ib;;VvZFm#^BThjiJ~;nC&G6AYosQ;)${~w+sxmK6**8W|#;o6}
zqzp#~)s#JxQuc{%>EwM=`@gAgvAR8%(th`zX^)%Aob+#KSM@_Bd#p+yxbqq+LE<IH
zPwgp%^CNW!m2Rb^gYroQ&ylT-bXalgSgeoXE3a!RJ-atejceTGRn0Z<>^eu#a~|V*
z|Msey%4&?`4$44OY*6n~cOW@{#)N_QA#cnpJ^W=5ln&j8)l@cwA@6z48@2bUduonH
zzO!o$jH4#EAuu@ybRL%-bw|x{$@R4dSQP&5536Zafs$W!D~)8KsDwZ=1>>yH`K~ai
z+4Qhny&f#t{za)A&!o+xoR;U$AFIb)ZS6mfN_k6EZ|(nF-9a^|aR(LFo^ooeedbad
z%Ywa9XsLdcdTlM(%N)EyZ%UkNU;qau*pW0`06g}M(DP;Y>g0Wi2;f(q@vka}&nCT6
zxPbFLs<Ps!nFFfk*^KS-7)~jOV+xy>gc$xiPtN52JYVzpP?$#7h<c%Z(db2Ho-}qt
z5Df;NAL>Eh@WZDfkD^6slj{6Prg)Evce8rKRZ_sYq<k{kEFnMS73Gj?Y{*+sX<XGi
zsqUa!_2LdHWR7xbRPSJJD;h&m*21}@SV0!wUT8Vbd^uKTOjXP}8a+eYQ$n<US@o!z
z&}u~E4$5#;EUTVWcOXp`V<Iu;vZ@S1{lRUZrcnh#K?SR=o>~H<mh*jRb-Ha*n79us
z33XmaGsQTM#Kw)JVFGQZH0&qOOQP=LBd_W&s3|#s>>MSdO`0IEfTtuL%C*Fakv^i5
zRa=y*BqPnG<p=y{$^qBdwm(6oac$cd)E!g{VcbE5ZKIr#wvBvfjcwb%7FzyawQXN5
zAzE+SUQ-iVjcD9Kg>3^^1uOqw>JB8~9oM!|AEOO?8H9S<wltlWg95iyAQW`5+P0}B
zuz_v+NhP65+cuJhX148ZYD)HC+XR6HJSFi^+O`|Hp(;4HYs{G_l{aT`THc)ff^v*C
z=IrNDX<T!rt2?NcySRf2b4EEe=4^_ThC7(YQrf7{Qb8dku3THCeTsuu=&f3()G##A
zsb`d9RqE788ge={c}F61_?4HmkEv<cgEk4$nrPGLvItVHbj4>iotNOi5TSO?GdQPo
zuHv7ZTi<yWDGkH4DZ0*io|^k6`A0-(U3^BtW3)aK`<B7=kD^$zLW?6Ur0|C2(*~{&
zZfYXvd-F*V1NdZYD3;l5oS(5LOTyq^F0d&J|6zx!n#7)XHVy}p_UFz&Q#0b=WG0S6
z%!|X<3jO320(Sv<=)DN$K?wVr2w~6RO#9%kQZp;gSMW!54$fwH)P1{g^t=?U?|cWH
zWRXN^w0=dX(IvxohgU>M(chsK4=LiD<+db=?N5*)c7F+xgxCAgAQw~;pyFY@ywRn>
zB5cxm9pyyisPjeoDS}7uPXwE7R-DC&dy5)^^5{aURuvYCQ{VJj)*ERel~!kBhKtyL
z$3!Mk0eOL~7~%g9c2@G{!~?xc#%=&E@Ov9z1o6XY^~_>$?ieLAqz?(C57Hlgjk)T8
zw*qPB0M)qp%oHp^HN6kJc4!+t`&UejZp7mDpw>5BV;k`p+_0n~b7FMKjNapd-j%)5
zJ6%WbdvJNX!!PIB?jQ<73R4rpo&}-ud%S`H$X+lgk|M&jD&IuJsuA+AHo+yM$dos$
z`3#xc1u`f1ip*>d8Rt{w8E<sFp&VlzPepQ4N-PgGyRQkQNvPQ-RXU!`(y)3}frs;K
zv4x;{GprA(o~K}I9iha1X$mdHEuJqQqid_uIdB$kliYW$4r6YaBu+gKH~Kr7IEnRv
z^A!o{%0T59$*P0+JfgomHllKfTYk2r89t6!{zWv0Jx5i<GG)p3B3rTu44qfyLB(g^
z@i;0^!k;QMs5JFSjIzrKtS>6>A{xag2WVIc5#8x?1U~tpDz1rrXfH#Ic~ID1<@?Oe
zs&GpZCMjEHay|R#Uiy8m0kqC<qVSkemd*<(yEkZ+hx0G(Wsu{5JD2EqvdhX6^2+yx
zy-@HssH9v(%ZuSAFn{sQf%)I|GRSdYo{bG?f^zzu2l=(V^#8p#3*;Z{8DvG^!1Qe1
zwAPz9GS%^IjTmBhZ;DqYC?{vBYpzUGl)J5TWuj&tOL@e`t`eJ1nX+uZUwpDg>|a)#
zCq^)m0C|kYyW%{;i#m_vPqMu!&F&9LkqrC}5+-RrfAe!;jSj={T#y;?>qxl4N2|Q}
zUJ@=aP-V>KxKmE^+G>6p&jm@u^Ik43g^Zi%w~ozorRhv2?hQ0oGjUUv47z&ap22Ja
zP!gp~KJ&!CtI*_F0{c!*VtrA0>TWc@yc-QGLE=+)icm>kN&wa9OGUZ$hH{g_$ePxK
zfEW88tv#nkK;BS$?vxJk=y9BotB!~j*Sfyf$L<Ib6!g3jsSP9v&*@a^iquddX^PXp
zr^gmIr5Gf-@;;7A<sz4|#@Ch17mig}`M~NUg~sYdUoz{@aN_EV?paHoMZ-#XxR#{Y
zl(eJ-O^udRl)Gh=h-7LpvMBVR*u!W&*c}0CNe`4wI$L7GIm0KMdR9@Z@kKw{!;Wy*
zB^UjEnin0t@lG%H#dA&ior1~dnQt@_!uX=!*QnB{EqCTbyqzBJd-yE5ylJZ|ZsM4o
zIEA}@HiD=noXat}jq0RBVvVXnR$gr~e13`RyJN^o%vFM^5m(h>6<^{?d~1mdR9#72
z;&PIMi<D~>SGo9RB7XfQ=i+z%0LLDD%5^?Qzn16l&&ShWe~4ezceXOpR;_z8N5-1x
zuZgRkxGxsplFf1@Z-|k+PzY7A7Vx^klrX;5Dfk)j)?vMFrO!QDr>O2ETWUu>Jq)R*
z&p;kXQp9tRYz{Y?$j66wFOQ@TSz^|r_Y*opHuD||4U{ffAKGH`+gR|4s7QR^W|)Zy
zu0I%V;l(iiMkc&X?ge}<#GjGh!`H#kYwPrUB;}&JX?lJUZx9{rdR~ZYQFy^H%{(*7
z4$>={Zq(Oz@K9iXh?FH-gbnnz*Qduh12nlJQp}#oQ}jzVo`>WL1(MNYTp@nda*G|H
z$0rfe*fTGhz2TXCY{4=R{uqBwvm@q?4XkiOD+;pI>5kcow$a`aovi??_(?pZ%!fYS
zJR`bs|9y!&O!YKUk<CY8ckOL!{7sBw`ApsPeY|7I-#^5ApI{uu)<)pPAukHyc9mM0
z=B*6b@j_0a3Fn=VPqrl5&1gt!AIoPHDzn2hh5$fWfT+jcaXZ*E-0cW{Y9QXh3sL*<
z+$p=kH`|`y(K{wRQ-yBm{md;kg9kUdc=`i~*d09gX?E=$T=`>5MihE_mc;hi5UPWn
zs6WtC!2_^70c!=*$IUxx@DNV{x^6)1&yog#8Ff4z@6DmqVccf*0#lc3aw%yerqvE?
z3fx6oddCjvfB*xDshmv|!aBtcU@!qxKwQg%)WpSf@_F*NP?zZ!I>D=UbT<&Zq1HNJ
z`6AwhO+O)`M@Xw6Iqo(Dv1j-30KmH^zV)BeY-wN)@DL~7b_He}GQ9IOfW(7(QV*tC
zVK@jjH#RO^y0kvn#RWxo-Sf9MI_AX<lnge8>?W$gNkI)A9$PRf<PYwdgSA`lxD&`O
z`Q3J*8%oK#IhJ%2;`VW{Zku73cVmV99=ezhjTW@16I#PFbL==|vahG=nUb%Im;SD>
z!@(||_}tMgd)w;af5`9t9z90E4)Ca9Jq{bbjL^F*idgS?Z6k*Ec-z7Q9c?gP=o?Vx
z5Tf*jXn@xf=yhHGWNvH+u0VRcw(WKy1BqccN~Qu+X};WHv)?j1(A8b^Wtn);><YW7
z4d3$x-NX}UJsnRl;-x}*@AfjAGTn>xI4+wLCIUJM@xskq8v-Bd;?$H2!x3}@aS8F{
zFGK+m)bxffJDN+SS4em=TI;4CbPh}}?V|WBC5qq9Ei|tj!#@F=r)0VuOoe#HR$!gL
z`?WkDw}S7bF!1;YHwy!gH}vU4xA*c80r{{BkK+c|xDPMW>gzK4x}M)OJ#Te+AOsJV
zh}c0{KsmYx@$d%MW>N)_LUt%AC)g;bh;n!m7y{jIdA(HTdC?mSiD~KiT#NHbue{RH
zT>E?nNORat#kS&{3AO+$+4dr`fkU>~_Hb+?9?gZcJQ$~6g;;!W_$c%o?=r%2K*|Cb
pXwhM6EOW_=X)+h-McZxnq7H17w@uGHFLcPB$EJ^#8BuHfe*gfipcMcB

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.graph_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.graph_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..dfe388c7dd945111ffc5ce718891e8c8cf70bd23
GIT binary patch
literal 54908
zcmeHw3y>vOb=ZF9vopIp`(J@aE4Pg$y@lBs2`rGt`XLE~wPYn^q>>_*N6&jb)7|^t
z>!;WKc6StS1*(jZOvfhK2UZL?g<T0B3xVTLxe}K{l-MM8fH*%vY^of)97?Hjq(BJR
zRm3^x+)v-Wefz%dnH^`R3RP*R-|c(vIrrT2zn^~Z<cFX9FFWYJ^g!JAgWknOx83eV
zZ7&|Bd)iTJ*!6nJ=<?{~`$m^WjdW(<UWlXNpyiFy9Z;j?2c7o7>y6Hi(mAZ21f6)1
zx1Wx^RuV)#+1#J>r~K)&qlQ0|P9{Op@swBT?EM3`?>qOoi95ntP-)_w-bI9-d-whk
z;R2l<NvHZQKu<>gp>(Dx(e-zyQyj}P=|m^!d80GK6*rxAlVlLA3=<d~j%IhzjuG?e
zR>zHFD1_(9p4(+ld)mW(_G86uof~+oSZA0{C+-@)8u<tOd4HdOt-sqpk+zo}iM>I*
zbT00B?#fc@=4O8og+PON>A|094!nL8FX8AO8bqr>#~UmG!toMAbg2z5pgO%+#2?VW
zZ9{j9Ye<$R7A+2980vMWcMVtk9qDAyYkL<J3NqsQKL|tfe+cOJ8u<Tu`2R-u|0E6*
zC^ZOZaE)}L?*@ZWy3mc<!;bf3P8Im0^mVNIsY<o|sWZvQ9r~~HPbpM-wl0-cJvSK+
zyynWl?X~<Iq3DMo)RID|{`xW!7lzwgbE4I1qXWwB1j^2&Gr(0Y^`=laz5Cv%m$*SM
zc8Fb^)o9=ZZJ=qex(;9#9GozEaC>d16VVTcx*_<BjH{1dfsQf}xECn<X2ySK{Ogd*
zOXnXa;x1s*t9t?jr@%xkGNmK5M(M!vj6D^@9Drs?Z@V7_=RS}dr@>|{=v88blcSU*
zaI82=03#!-vk3u7od9*(Qdmi7!5yG8;Y~9RK${?sD|OQM%ibG7uRlzhs2ZAmH}RL9
z2m7d3-Odxh;b)yYoHJ3+TcEKi?|NQxAsU>!xX85|QzVPjZPqBFu41L#eL*V`?@toX
zHed_~2vfJ$ixO8;>gg0Cui$U-Gvm@JnAJ`-E=^}Hc00>)-$fI%r$6vOrJnaj$h;x+
zvdVSsFI}x#gwYqd4m35$Bam(%BOTaPG#SE{`jhGPRn(|d8x?Ekss4A%soqHU0^^+m
z5))qOengXIl74%t?eL%S{|-*UrECiPpA_Spq4DX1o00r0_(CbkBl-7jNbW%-8HRfh
zP&slxXF~2UA%_aR>m}Zx6MzX-rr@dnf3hV-izxw#qKe-2mC%zt(G;ROY3j3aK<h}%
zNufMHGoLG;nRI7w<f=S^{P9_sf=?6EA0@gYD*a)vl?)3?W9PEK0iN<uzhHyfFGBqt
z4)u7t)6u&6wAz*bys#+g{+tSx1l-s6dT7I&7s1z4CW5<G$J0Hcod)M?Dx7i~3=Xun
z+K#&5MvT&3{dI84pdeZAgR+|>*&9)n#2u`82`E4b4xEzpW#)a2(jTd!I8c4AFSAb1
z;N-jrWcrUVIsZaZVdoQa4xZ2k^s;3@e^8iroB{0mtD<X3u-#yyw64Er>00$y6<Yb<
z$Oz@Xlp_%VP^shpMTLQbON=1~aLm~}cHzODJ9bzQEFHU-_fP&=fkr|$Ok7GLb4ZFz
z)b|E%5)Bj%On2TPQNBY%`L$M*)16U4WWokEVX|6+&rCWM^eA>x)a3+v8UhdYBPY7y
zU3OGJL9M#OPSQN@c7|Rat@KDd?DwNV(u}+AAbD~aVVw31aBg^q#8#uS!Y;x@eG-QC
z%RtXh306$sfYPEkI8_`Y8e>CI7!%lu969~SkNk1#$bBO}gpWX@yhN62#c<6Iz{r>a
zKyi-gjmqcBSZ@$o=LsvRIE{)jpJ}Z;i7wekpiHK!CoQs{0UE0S!u0~FOO;>vAv>aG
zQgZ-Ba$IYpq9)3}Xop;%M0VgCAzQiX{8c;hHnM4QZIzZ1W*)ADCjkK|_7;WtZ>@-i
zx4>&%eRGXDMxX$PJ5?OU>dQZ}WAcEG$yg=H5!C3Z@J+d%ye_iFf(4a0&Fc%TD1Yar
z{(oDCSfUtTfksso<E~xxEq2HO7<dWalqkkIsTe6puB`xHWye&Rr7ci^M*(=Aq~!|m
zb#_F}lFR`V72pI?OH*{W*&);?1p_i(p%uwcuF&3YN76<HO#sab&CY~16k6Mgs8ykj
z#i5=;J8#Ei0}72HsL@m54^5$sulNb@5P2SnCoz;ZXI;#j!`c9ZuCVTa$%kkKllY@t
zLL{B47mN8X`BUkh)nTVYk-2{v1G2V%0uea96A*Gy<$!pKbWsbE&Fa#N$bvTfyQPJ@
z{T>%qEtVY?<SoCaJStp)ifjo1o7@Mk?0dNKI-XARUNQmAiv0QT6WWAkF<yGh#sNc?
zeYz7sLdNYVK~DG_0%L*MLY>iMxI^GMAAVlLIUkV2;s=HIEC7cf`4kJ1a}$hV$Me|D
zeE1poV@s^3Qxw#<D#ztYU>p8(=sb&UWfEX7bm?8}cY;=sjGmzi7u-P)9+f;m_zT!L
zi}L-;xyZO41zCpRM7ljPt0*(Xn!^=Ec(oNT91^T}gnx+hNMaWLB0e%n%jD=yGF8c!
zc9KZ0?675>1xKvum=<(4++I3L;eSQE=EJXY^!yW5S97+}bQx)X|Bv^AByc;yQywk-
zZgz3)iuISx%}Z=<zEO8>!vBsft~<ROCe}Fi58OK(;PSN-bo(6-SK28{>O{THy5qK5
zUO$N)T=sEr*~f8XhqAbfvv2M>-1mkzJhSZtvEz2)2uffryA4$xVB@&&wP1bHfwe5i
zDJ8J_i_4*j@6A$I)Vo|^xN7jpX#X8X`)_ZQ_LF6_Km1S>$H5BFmihGYvdp|3D!j_f
zOKNxtAa?I&YNfK=3f`E><2RG;=T@<~(urE<6x;aN4v0&{tl#0Z!KH4@I`CiH>jYgi
zrFS@(NM3dz<4P}DQD@lg(NaJx-r@R311g-P8f@=D6ZdO~3PCU7y~arZtCFzJXnfBy
z)Xj6=IxI4_?fu&;`LxeLz;}D=1fSA>E#J+JiY-U_$G=aD!R*P5Daq$K3M^>zQn;HO
z9!6F@A^2}^p8upxeC!}doaC(KjLDoKDi_c!ZBQ(I-y5JZaa!?trkhBi%&MHX>>$sf
z)?uX%I>15;VZ&L43zwl6*wn&xl*8UQ$e+A5m}9rM=3#}#O$)tKH=ms4oQRdQ=Il+i
z=7L8vbVUgcR_ya|SeHwXsTa~AyBFgS?Z)(^jcs;~w)s?S9I!1djt@408q(tbEE6RF
z9JRP5q1j=@WD#Jl(4fpp@mhB1(LqsjTcAbQ1f%tUx`G4R)QTs1zRw$un5OUZMgrOZ
zIV#ge;g6t(nGb(>qc-t)UMJ0@v#WvEX*adCd$z<#dkN{iVk@&(ys5q%KKqbxn_`i@
zREwnlL7MgUIs*xp+34Sde^_{rSvNU|m8iX5z!YBZU4h(ymy{2328Z7SJKrrfmufq`
zQ(NbE$k;olPB9k}R2hmj`IIXjEOgU8HJC!!%O;ohaJ$c(a6`aXh<a-Z$h5F!fCub_
z@;nurm8qCw@XH+6pf!3r{1TWV3U$LTqZ^2+lkhB~^5gIasCzu!<uo!5q*=pPxiqex
zm)wya6od4-ebA&qtPYdbmHE)<IX|2WTKD-BgSIas95QqVgl>6NHS5c=6NWqh?H0%{
zf`{wSaoB}_jMT!F|4@=@r|vlvD0MuYbpG_cm$khV)I*M<$J6U6Fd55Ll5|xYaC}v0
z<HG#;@X;~UMZS3_)Pc_5K~=*?;E%|rF`c1g*B-_Ml+)<Ka&-XV89CSSNfae|krN;A
znwex#CJ8KUoPbx0UW(gO93z%<3*W7Ph0TFu7M4GcDANw(aXEo<4iNJ49F5y3FZfCY
zljZpsWy13+)^mBX2qmf)%ZVqE{9O%1xgg+FahZ96P%f{k%1oF-Wl|qn?#v`JUxd2l
z6eF3D<SNKafm$UpW2krA#@R=bGu=cd!2UW`<7Mm9V`ibIY~3OP*#^e3BvhgV(-g2h
z3T+dYDWVsfK}ZcZ^5P>G9l5HOza_1R^}YxAtK41APvtBjgy=7c7Dge$S1K605KZ9V
zh3K#!d8`jl<hv`!S`nB7(8v}DZdhQBLdWIQA%T&kDF{q~G9?0IsP~#GtRV@PR;ms{
zphFrj1plY55LmkmA4F!E58qy)*9TZtbSlRryu({q)z?$i@Qv^%Z{Zr@k11v8^ur$P
zJnu<2SpJp-CHZ-*7AJBa_z`R*ec<r40+-no#oF3-N~HYdd>GV019JcK;VQJSNdpQF
zr!Jyfi@Nsdy$Oa32#CzDNDXf6ScCsWdLQb+Ch9?_fsfUXCphxl6C7>0wO(6x7Kv$J
z^*m2;T<_8N%=bh=dPFX;sNJD5_dg^n&B*Zym8g{Dx$z%a*`VQn%>Q_9F;6TJ!w&KA
zqq1%K+|_@GK&2NQCpahRB?FWOnxbXhTYp}Tlb=J;<DcWO#;xzo4S!Q>Rc>)qGh*4I
zM=<P*mLP&;JP>1>{E1nFb0EqrhMz^0HQG$yNLjHP1t-nIAsJDWXQi)H9`HEunKlSN
z0-dsb1mOsS*AK%#Ife}XA(T|y#tmBsE{7k*`bIHA>cK{WZO6>Cg8M9|K5TXQIE+y6
zHn$FCCmB&^e+;SvABYYhqb>O$n+Ud*gZA0aNFAte<lx)!!*2pE=`?KiAY~VR3xCpy
z6Xo}GFJh-Iaa*$ABv+5Cc)nu0VfFqHq{5qO;=FOPww`CvCmeL~qc*7eyK1U>9fSO_
zHbvv7zqSoDXK^&7BrIm?eVLik8#gdz#!ugY)?9Ezs{KK66c17WXW<N<Sd3Hln?rqg
z<Mmn*9xb8uIaEi(WcAdoH$v=lr}K75?a^62(pL>XQ}X+0O4*D$LYw6a^ZM-2B*;aj
zY=NrJ_RCh=d1^CX;-Ef%f^@|fdGa}u5T;~{-LuGu82%u3L+tiTLZ_vVZ50b~rpXRG
z%;h2R_u1j68Tnq2MJdVC<Be8&lx*I8Jv7SiG?i=X`dP2=K05&O7E2Dmuz45XsO+zt
zYLNbt9+ZRoWblOkw${_%q$l(!5m19@-a^VqkvDm2_E|_d9E%ATsaxe_%rT=DEAYz{
zt0tI5{LFL8B|E*$*sn8;loM&?obo|C05hj>00vIMHzk~s9S%gL&dE`9pR>~^c}jdj
z>sgyeW$S81A36h6&5{0ifvV*@y?@<~teL7DK#?T7fneG?%nNn^^{GKHHcE){z25)X
zj;D<fn)KONU8|~$-YTfCD)TD}vI>W>`F0>7u1ZOsPrqd!v3VFTL!+v?edknO#56%L
zlavE6NG!e?E3xQo)t1<6?1(C}v_%qo1Q5tmwOnFfYe&{hRSv))vBey~t#$zQsZk>b
zP$WdT#Gba}X(NOthBj8$sw$(mO6)Zy{(eDV_lSx@UbBL{xCZv&n#bTlqda4k8`ukW
z0A_k}00wczHznd)(-r%BT2GoDQKqD#c-COZXNZ6rL@TXJNKxZ7&u6UTwVvj&PltXy
zaheCAg7xI@Jm>wk9iI)H>0xNr5v}oc;aE>-48g>angL(wP|mZ@=#h6(K~7*5&8PXg
zl_0A7U6COfkZMlN*N7u4-Qp0wVn@_0(i}jM6ox42|Jng;sc04nQEn>^P3M)7CeSuQ
zjOD!WMI?fm`Lf30G`KHYkQDxb@}w2rnuNLGZJMs56!9$g`phZfyJdQ1>8)PUf<qGK
z?Z&Hvs7qVlATdPS-{hf(+U=xn4BvoEH6Pw==PgABFlmejl4fvB>_E~YZ#-^|lIObx
zHJ}rjW6F3;$#+k&oMArM9exLr+Tq&(WcXct`f+^vOZoIy@MK7Ab9C`Cs|{Vr25XmZ
z3*u(ih56ZhQu|FcliC7uc{2M~wm~vG8^yRJ_5+zd5RD4SYrdgE$x-78ZF%V%rleP*
zsKb5LO=P26l|@51)3~_Tl&#WjI5$}qdXJa@;a_D1Qi;&+ih&$({j76Ftnf+fM$0-c
z%3LokJS>QVV<mIXr+iCt$xmBHS&~csDQHwRfcc0WfZ51%00yre-&~mh<~gk=&HGR+
zL`8qGMga3EBA^D*9KbMA<jsld%nBLBT=ILVTP2sgMYo51#ZEf&K>mOsS1GOhbvpnv
z({KO=rolHQOtabBL%yYTt<7nDE~=YXez`!_@+{TVo;)2iWX)vd0E&@^=?0Obb_n&!
zQM^H<c)%V#INVKNBt?1baibkk8!0qdv~qh1GuFsE++{`7ns=}Zgr0Y>ZT2IB_zpWJ
z8^|~?1T}gpJW|wc<LhF^!DN2JuR=g51Ct5qN*NX&*~`2)(6<g=Rmc^s1p`toyU+pP
zwpfJINyNOS;b(*k9|w)G1u^g8qK_+M-EHPEQjGg9uGx(-u6pCk4fo+Cwq3Z<-nrnz
zHXnZc7JWQA|IZGC%GkDQb;*C>&m-^6haaxYf+D1S0*Amt+JC?sgWEQP_eQV6ZhksP
zjwjfZBUXHu*Gvj`#pdehr`*z;#6<~k=Q@Oua09#Vwa$6%<=Io&-qyC`wc%ti0-5D*
zEPO!#$)&(dUscwX@X^aFWK{a6j7p!cL#6O}tbHQngqi><e+Ej3NV6FM6kHj7!iNgm
zrgP_((qnRGTY&<~{_3NqT4K!Rm)Us#9UJfO*BLJ*I+Vfw9t~D=0~7@ej3iEH{i`um
z(<ydXa+K~og>uh!(&tF~g)v=VtKY%lh*`*#mj2xYtokXengj5UD**Uq20+Mz+yR~?
ztsZ!%57&0!HSMvpvJQzUx_!7P+jtukeR{y<C(!9W8dp6aFXr+}cA0U&U$LQl7yne+
zT?SNBIRI~E5_GWb@kL_uRF_bSKzA9~=4YwF&PZBPT?b}Fs_P&=QL2lc%2Hj7VK<ZN
zx}S7Y6E;G4Yu;c3`7XJA^Y)sVt{mX<bl2y%LApyD%D9|Yb^+63t|cCR7F#Z9qvaz#
zxX<JXn41N>B}Hr$$TBwjbIpZFX{Ays$W?tUFjl!p*mn%xAls(fbyl+dje8YhGs<OI
zq{2J(YUL@`P*7X^%#-=el2oP?SxNHf4ro+0dGw$ifH_Lz01TlQzERm?;~Nn@t*3Gm
zS}`1`kvwvVfEq+|6v{}ESI}y#q6S#EnYvYc0Z|tNtV~A2Tagl|3-STh0kc#Wvj~$^
zQCrLX*(*(64y9VS^)p0?YKys_uw!cGP!6C-48vBv&)ESe6I7Mca68}z39)NI?svz>
zyf%2jj%i&|fCAD0{Chiq4Uht1Y>*W2jRJnUx$w1uKeOX$Bg9xy6*0a^0<*@U11M}k
zjDJlQ<L8YsdX})L&9wo=&#&QBFvibH5cGz7F>aLZHM2VyICF1}yy|F}z~`1kk&LA`
z)K+qBI57*lYd+kCe`-0<Ka68zf%RX@VQLy#VMoP*7F3b60?nDtTeY>~R|CFmt@sD<
zi5zHpDs!M2x|?yJ??kt^_R%MP!Qna_d!p|>R6iX{M=Z<T<xg${cNr<hKR0DL-ZYm<
z6l*{SaI@9j89_s-c$E^#$>j9@Xk|7QrX1IGZ<4LjZAR5BLKu5p%e``tCP&pC4`c)i
z@4;@+*U2O{d@Yo1fu_~@LMT{<0x8&2d{E;Q>^^pz0Ns!yHD|t1GE(?%>~ubS7w=o7
zN36PyataIBf~myEC1TcQBBvn60V>fzU_~Xum*?oh)OFJanizmGrI_FoDMflJQ;H1X
z%_zmUpu{#=`g1e7aT)umsT(=iauxafHc^psAmj20$MTv|w%fSE{8`SY<C$Dlm_H+1
zrQ4Inncm#1FtG4ub7fL5kb(KQ9C>{$no%wM7<NOmote4pbQk!4(z8CGY>1)qJU+i-
z#m5xqqQNs^qUiIVf=;(UpO<hiSL@r5lgI>pfX~1<6Ldr|LHLbcSTB;6$oNi9bofOC
zF(3YJ<+(<Z;(pGb#um&Vy&%!7WRS$DpcBcf8HZFgNPi4KnL+wGK9ND9r!s@Y5Z;VI
zx}WxyiL)!4F-djP+&RGIMrk`FRJEauGfPTHthL;@Vfqf|*LsHOTe8)*NL*{wB06WL
zX}|UwhzUo+wNj}i$UIH$1%WRO<Lyp<M!RqlySWnP>8KT-GV^4@BvU@&U%(`9fq5$B
zVqu`RqvVo_dWB2HI1_b@n<(Tvc`t}GQYCLC1BN%@WW#Cx%5yHv)XRt;GgGhQjcr?f
zpqYr9#K^!*NuJF(rK*{F3jk$i>aF-hW{RH5%oIa-GiK^<!Dn=vD|qstx#soQS5-H&
zCVNlK_{jji++_Xw)fGn-KN_`Y9L_ki^<)-J8QM44?8NW^7`(n8F9W^PxnIoH6Krj#
z51-$0<Hc4q@D^9`gC~pkK^*&5d|IH}bKrs<yuX_LTU^&YVgM|n5aT;3ZKUqsV-+>K
zx__5!n{Ma%&DMDjXcNZhn6331->d7rvsnjX4%DJN=`Tp~nF7I*b>A2oRbBUeza4;i
z1%(4Jtoz~{)iY4neQ`C67IG@B#(h-lsXU&z@~d$_PXyE;n%8|9De}g^<Z$4jfymUY
zvUnkKAGq$D$xYZpN}!g>ulwG0Wwb<bGG=7Q+N$8czS2{oK&rMj_ywY1we{i`?bw<*
zn*%5k#khF>=XMav)K=utT8rm(i1A%JrZtH%Z!t(3&rI#hD+Eob>XXO{dxKnLU2K1~
zeFQa0XF5-Rqa8wh8r3;ZU*sa06f7*aFWV8dk|H~eWTp1oHUXk2wd|xt-lRTihfsmq
z>2A0t6LvGecRJVykw*NA=B;4A(2lN^=G6#t(GH;kK|&9@xN`KcZ20(~9akGQ#@cAH
z;lpHlv&P}0ph~wOFL1&dCW!ML+!>&F`*E(*$Hm)6@AndioK8mufim1SzmyUaK8FN{
zUE+4SD?B2i?Z*&17Hxl$H?A0Mi*Z4;EnT0C{z|lM+4=l00VIpHU%)4dwdtuW)@JB#
zCf2?y=&eSzGr{s)!UlG3Ai&aan#Bu#wG9!hCrYDciNOh33i&|xL-Ga1g@0sa3VU4m
zqHMb@HbXE{jL%h?FC+gSa<F_>ii$ZqjGCwMH?^jl_Mb99)vOibo)0F=PrXj=w>o=f
z?aTobNn*Hf=ZGDEqJ}Cu+%+}>7YR}BDBWPk(?*EArZa_-xU`yyPxumYh{l<@6Q<K}
z-7<aMEYDfXb{rL2inz24aE5aD9{`yxFpkO|9g;+mE8h<LsJQANll`B#G@DI!g$v(B
z2VfiJyl3QBY-8Dl@9YkovoQC}JiZ&B$UM?hiFxE|Yoqty+z&T_z^;N}3%<1iU)!tu
z{SL7i2~1?&)zTc`Qd_w#R`Il<j7vK!>r7h9jjxto+>pvhWUFmU=gcYEUnC~3mgY<I
ziuMC?{H7eP-A&497ydMMqwD$XaQ*RgYMEVIl!yLdEA%q^VuG9LnXm_)Zh@LF<yoQc
zx5L_Ko)vfq^dz4Jv*OQA#NL#haBoFj_`GDW62NCV*PRPN;yXVfb?8Hb2$xR>GLEa?
zP_jw*tBBlu__@lQB4WHgwqP;db8>*?9x5~wE2@GXV8<k1XZ)quG3!p$-vgk`jC~QG
z$c)ibi5UwS!kdZm?(TTKHJFM`*sxn_E}}AsrN(P~pm#7!Er`B0ZUg>=PjtN<Gk+{w
zrJugKmU-9c!{az5i$yY#y3LgTltMnx`r@aQB#Me(mP4(t?lUrl{}a2>)IA+q<7c5J
zX}MU-wtvqGyG+@epk~4tz6hOefwC`hrO@)*ibKe+{~D*eQN61-nB2_wzTju5xh8?H
z<kGk1fdgYm)LrlcxW^L?WpyIA?X{(X-#|;rm*K1DNW)))e@gdlsqDcu{Pq%7nu?=*
zj4%~97q1SvQXhm|s6$EdQS_78=meMS(~woMe-rYUkwL_sfs(g!&eM_#VCe6tgFNi;
zoe!6x#klM(|BNIKQa!eVwp`;Z@sZ9OD)h=fBPnK8Se;Bgnfm8fXb7p4GzY_<Z^*CE
zusRuQfF*M>e0(A&gPuy9j7`SMcMm+2{LSprs_S4dh?{UQ-j!KSj(yOBL!?dGS&H9C
z*G?C}hr&SHEjw@St(V@&NgJUkZG{F;{Zi(Xz!%EV3iF?m^T`Uo59X>|)!BotOS0|N
zmYX*0NfX2%S0US`bkF8zfHX}*z2nl}C$FD<XzPGhU#PA^d4B4imE<=$P$hewM$jmq
zrY`@|!#}YDFlT2u0K=Xqe510OvggTg*rs8)1~1FW=PB{qTF>R7RmF672B=!{|F;TM
zEl>V`#g43*svJP2<p0<00F;DvMQYSY{uc>Rp8S8sj;D<fdFy0lb*-v0dXcWjEoUEM
z6PRsJq>l=d<}HZp*t5NJ2l9-rv7>o|+$=PzDwx;W0hlSr0T=`m-;@aEZZJJe9T`{;
z-{l4I^;%Eb$Q9yOWj%yZO$HZ<fEq*_tvARS*OXj~Uf`2yUQwuX`8!XuN9;5+kKi3N
zSapM6xf*ZT0hqak12Aw4zA53B&0bx+u63<VW_|XltH*~0vX<-d)Q+r~tQ<g5m`qm}
z|AHMteR9;fy0}P+a!vkOJEAsHXhLY?cCD&1{GuiwUl%tIXAW%mb7+jvH_UGyRu+g2
zb7ojA{zE${6r{^E;N~`oeF@;(B2Z2$v4_h<fsA(HMWD*ornI<Q&Qn@^8Yn^W6n78C
z=88@}Op&0>4ms@m*0d7fIz8_KMNyD5k~yLpEu^jvzk@S7AAY;?1dH6zRkrwUi;alz
z-{d0%ZzNlAd6=#sg_BXS7dvjJ<9HY023@!{aTY_=C2s2IW~71F@3<|f7C@E`mt!z(
zM<EVPgs3ZLV=KDOrfupVP1^+isgu$RcVmm|PVa^}&nRNZl{Lb#$+FppTs(sWmkh_k
z8BmKPvJ{cOst%?iWp)f3oe<&!8o-b;Gh7ke$lVbP;4xK@P5PZ$VCvvanUHWe<zTYH
zNg|qBI-j`W0Wa`etP>5`MjFaUgzr|;i)kUI<!Smtd7db5s7#cw3*ep(zqAW-P_F<d
zhhK&#|1t<;coyEkY%W1xz}v^uT~0&uU-6a7C3*}Ro>#|0aS_MgunFsJT4&|n3?esV
z$i0P-E3c|r4R){XUf5pkUF>&)R*;OINvCnQ^?KhM`7cpjzVkYK06H$G4SlUZ5@zSg
zadbJJPC9@3-pl%hdj<L(Pp_}WDssB3HsBMf&Q@l)49QN)&n}FiE>6Td*+iVAs&@H!
z7<Hf1=ngwc(1%01NcWiJgI?rh0#0=?abeae=*5ZWwjEg2aC=-kq9Cy-A}=#z1J3sW
zt|}qQ*{7TXgmhe@aT}!rU#Vd1(lM7Oi%@)ev7C5Pejm|5l#fJ_nahN7c~w<r!n060
zttd0kLfvwTk<3VP6=bGBtrD3r)Vpot>?6sUZlV*AEgh@zvh~!MS*R&nw+NS_(T0zX
zkx+?}zBj;Y&e7m-nId{It%phQy!gnto2zR1ThfYH@5_L{%H8GsRL&AYh<=}FVH6^K
zrGl{w(F6`&hz|Ra$NJB-?#i)N1m;f&z4EFX7MMSWj?1Y-0wYON5SRjGN(9DG?=@9e
zLlQ2nR2_sshcsRYzBq=m1tG9@$-Y<smm62;l`kuzBdD+5l`JbBrmEw;*J-vEFI`vp
zTN0Gy=j5S0W0$iR5@DHH*&DFY7{66<NR@CLj#}iyZ~hymZMhC6<QKdNTG*my#F!Hp
zF|I{m`wa7STM=Q@TDKJuvLs+}-Ikd<%K@OXzyxg7whaSgtG4vCHLJGw2tlp8FHAlE
z^F~znHEt*5FgLMqdnjADm7Qs;t<tL4t;{7WZ`#*e*Ja!EGuvQun52}pJIkCUhHz|I
z4<}MNV7^(Pn1jnQym@Uj(wdfQBh}dX-zbZp(hN|w<p{(*zn)W`O8%rBS#$oB11OTj
zluG^$JA?{p$$U7O)=4E7Nl~6k{x^0+ZKNnyv?4!@2XitZ3O|UjkU6uKVFG1aknuDq
z5U?qDLHRZlWy%nq=aXbi&H5FN=ZFr#av3H;+16}7p7Xx|4`#f+iBGiUh@Py*E1PXY
znt*S-_Fd+q`#-5M2;ml{;Ju`i6v>-z{>9e}ufLXf(UXpszprTU8~*L-EbX>Eg?0}5
z=R3oADJ4-yu74v4(aE!P;Ca@c_jhxI7a(W3%jV0ZQ*ksLv>?;4fGoH(oofvT1Fx4f
zdHI=ipD5|TC*($F(mjwo$6RkbN)NT8)-VY=F<h_&Uz_rJ?NK`QsM{HOarRBJ18341
zd4w9;<6^oOCvLY7KlU;(P3Zd^{G8=Khl39M+Mh%%xQMHD4&MT}Nx*9WE5L_WqbTV`
ziKo0gy))e(d#$85>^3jr6`ms~nS%^v&~L(_fG#wRq04zz;&nVKX<|ycNmB<X14Q1S
z<HnHMhJt;Nzm5h;v*VrjI-}FO(plf_$e)wxA;^3Ktr9mG#-h?>I@$JChHKD#?t(kO
z&=e1Hd2Sa<W|9G<!*Nifr_(u>QWZC1!rJyQSv_^@sW@00rPt<PHod_h8Z>>l)e4R<
z0G$z42nW*x?BfH?td~jZWt5)K-e_Hfi-&=6=UBhR*4O4=XpPf@IEEMq<?|H(DBa(2
zduu~?%>#<Jy-~W$>y6SQ0}rm?YB$?nANT{n1Vq>=_&nJv3==34w3~g%QwA5oCrjtt
zVG=d7qI6dPOtrr~?Dm_I@qn;YfS+I(^xO{4)B!31>h@xs{;a4Ud&73ryx2vSIta<p
zDE8=6TcRa#Nh@id58@z+2H01#9mMWR2M5BjoE8G%FQofmFu2?S2Th_LRNv35(bm0q
zbas>;r%im2)`R2()PcFd-r6wbdk5|X`4d?55K0wr4xWzyDd<Al_JJM$?c0;-T;J<A
zF`En02<s;RW*?T&f(?pC>i9|0kC&I0E?l^<*k4clsJ9pm)|T4d`6Z|sFOAY;*n&`j
z7R|)#!dgrM6SD`(PhEf0j{;@q2CFR%43=bIt`%Ss__}+%7<kDlf$@`W2SCgu?g~gz
zJMl-S_oOF)C%bU<H5X5belzX^*F!@3V7v}rrMuYlgEhYc{{#O{bfO-x`@XpAf}lM)
z1i6lZP)F!D``PS7Ew=;3K-v>6AJ$J=F!4;@U@D1((E8l44<P11DJ4MylgISHGr&Dj
z3lEfLis3M-ig>t^uXoVvu6S*b)pda7dmd)ckF{W9>A9xYb%RdRZMO#=X@;lM-Cpnf
z2;7Bq4^t5!lfYj1F+O1Uq{%Yvgz+H&1niQ4rUX`i&o;)ROQ6JZr9D^?qGIT6RsMio
znyW#Z%BQiAJ%@WhZo^6VCr)Rum@>`KC%rfm`#*FEvR?QeEXwWhJ<Tbe_P;z5ADHEf
zJJLAcPF{|h8b~LDxEle-Vzm1t_H`nC_G*nY;5!!RiokGTQ4jp=v;J!MkqIEuNAaKO
zN%&_!{)3;ErLXVO2WaRsQS^ZX`pQIzS8LPt+jNU*h&P?my(J;uZ9<2%=>$2Q;|uYu
zA06@t@gNATjnfVS@)^mm9Kv<5iXhM|?uTU=(i$jotOWI)sK?kvEn)S5?Llz5D^W+v
z7F9i}70TK(xgKW(RBCiM*FTu9L4vmOnBEtEvm>1aZQP26sB1^*-d5D<0D}W7gGHXc
zmzQ4#_Iv;6VbCXicL4eoxH$$xzyM06oGacdi%E3$2EA5i*alq~t)ZO5_f5fWa23nu
Hb@BfJxIG6W

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.json_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.json_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..490d5dc7333522cde4cc28b8575ef7ff89d2ade9
GIT binary patch
literal 56476
zcmdsg3zQv4d8S@7ni)wW$+iUXSmt7{<B^eOB!XFcVhhDGHnxcDwP6oNk*|C1?V0Y<
zy|=G#_mwnp922r$tfX@S@#VE4&LJcOFR+e74#{r9b6LpAYxh7FVm9o7C7i$pL$aLB
z$&v-<|NnY)^`q)`-x((}@i`v#t**ykU;U4&zy7Lz!`NHj^5>iAzj$}p_599-Ij7m|
z1Wh*_#1qY+(Qmt*Xz=*p;7<)69?Zs*J?DHF^m`3=5O0DU4bN{idv0fNW)M$f_Q-FA
zbE5qA&}~G1&{4&`F>l=4er7Q1O~zx9AGKWVRXlm;y?33e-ReZn05d_JZLe`JVB`9$
zM+Za+RCQ@Q-gThuXyEOQC+mt>Z)-d*Xgn2fYxx~_aH_xP#8XZb_58(t1bxH4Z1tNV
z(!IUWa>5W2;d!j%wE5FSv)@gAEIN&|J$DK7^yBT3vy86>-fnNk+v#25ZS@YsjrrGx
zZZDia8+Kf0alUc1-t7ep5D4e*y0_kQyFoaQox8giEcq?BHxC4d^PJH6CcJ>`^kNQw
zKmn%-)y=Um=+rS~t`|a2uROV>zvyj>$NWyyy`aIzk@a2#J@Z}+=v@u}UjzSN3;!R)
zUII`(pZYc%Z|gdKZxFwv9W?tb_lIjGnjgg1@!W^YWcJ2SMFXery~I1LLG-q&5G}b*
z)bF|V#h%k?cqx?VheT;UL8-g4fWSguJIl3TsZ`eh)y;tFWIPEB<t+D{uBRazUw0zt
zM2_DHYs4wFD5!<bIk)C?nzdHoG;7#8H8jULcYmcK2}hp*tbT;E(<$#tWLo2RBDAjn
zu3OKL%8>_X=eYim3c%Q{G@FixFo>We;(v*%;Z_iW+AJRepW{75WDXAELnXL%PS!ps
zWLrKIAamP5D>gL7kjiWms6Kd84}DMz$gf(S_~&Kivwo-BkLoDm^{x|n3$?qts2!cw
zY2el~wVP|Ff{uHL_(*&A+79G7-34BA!nsD!bLW<NpnK*Jjoa|)Pz{SG<pZiU)T+4E
zZ$$F_LE_L^=*@1T+39qG$jNBwc$}jwxmo^9ICUJxwpET(<H-x{)<W2I&}K|@doF0n
zbM62cm_aQ|LVf=7`qT{?Z=gT|ZaX<{U?tH6NXzJr#s8uVt4T=9WljVBh#BzNcn5Ib
zVL+FtigzKAG>G)u)lGr-<K9Dv{=*6S-cOLaf!<A0@3LK+kW4JePZH83zQso31d_<<
zo4{twr2TvmX_pXbsG-|#<n~%V*h3BeN7sdXDe>YeK~bwydQB-xRZTROs9fsVVcDIj
zNRCb}Jv~TInFlG}+!;7Jvmm2<5Juxk;{D5L2#}O+ztf2NImNMgLDB$E=~h2(Yqgti
z^`oNI{qg2nrm83Ps=WUoZA-i>rBM}tJG*YD36`XO0j6-;K!_>R{&+%`%e3>1-j3N8
z!>rg{Y6fkXA`Id!-4&Q@K|-|B1%)?8LI^WhOmTY4ZUjnDH3t)pl?6Vn8pKzZ&>yHl
zR~C4kr*Le(04RM9#^z%Rgw3bb5S-5R=i8S4{9$g`aR9LDKa*7}ytabH$yEJ4OV#=`
zRD;U<%LFIy8!3dS0UaFg*%BRxnJ%syfML$0sbhOKZ`x!b(Aal3JyH2jIgF%e6fr4D
z%w8oiLD%g$QP9&EFy4H#BKhVF$=6v)jyDH6iD9!?go~<yp2>LJ@6d`!Q=Hpy-XZDW
zKT?v*USTH%^wW~lZ$<TUPOI;x$%-!x``vEPi|S$9=|vCr16+Mw1kPnQD{3<+YwRLT
z)vrUh-UE2PPqJcs424CT<5Zj`QFmuG)v*ohQy|cfGzj-uLGTJ$gS{3CrG?X|AK9|K
zfkGaY4djQL-smi^_4TOKKc~y0Cg93zf<%?2(R$e48EuGl<!R9fNkc=`0$a(UZd8fv
z&2~bIQ5Oy5;TR)8Gm`v-y@~2rh*s7Xh^OsTRs>?kvS7);^D%qF)#0(WJpyQ34%MV$
zz{fPBf7VWYMcDF&m3`UXKy`S^+13IfGMm@$*lDzapiNxN4Q$?0-F}N6WQ>bdPaD)|
ze~}%89xB^ovD!aiC6rwc)nw-o!fX#w<v_zRora-C`z3Zt?#xm$)KUuqGk9wJXExSX
z23DU$&KPeO`K8#Y-)Y&q)!IdaNj?sR%9`YR><tw2wP>J#m++0jBu^`oOwO9h_SVZ(
zU2d_mM)tOugVbzqAF>l#45?@!Z*R9DS{aRe(cXf_uqCG+ypiFCBM*aFp}osaqz#6Q
z02V7WI}=t=XuoA8)T+>i(ojvIecDdR2nvl8n88!ykBmYap7GtVOcDM};Zf7doN;hZ
z2DY8ReKLrr&=(dg;{MPe<(-SiEBOPwZ+PSJ#8SW2BIl6zI64KI-T`d?<Yu79L5)L8
zQSP{Gz+Q&Fr6*nTv)*xK;NEnL1N&hMHSTCwc);wK07pO{{6IaoS#SFnV2fn#UhqLW
z&3ir9jc$b{)sJH81BXgfwFqtUjV^2*%RV5~;Qn~KASe;_B*~j$f0JR2#AOlRv1WbX
z#%MC$-txiw=(MzTJp2Dh0QWr{UoBWkAHm-;!!~VA8;!JPhpjwvYH_y{_=XO1-%yIB
zaJBt?q;Q6P7yhwrE5+mF%4(GLMrrOGwgV_lJUYtrwF7E&FLYae!;c0RDZ_cE*MUdP
z`NjS>5T?0!yvI}ipw)xQePsvY4Y19CVoNLyQoBD+Ejj3yo#C$^&hRElW6!}LNF~4y
zBI9wMwrry1>&o!&OYHp1rjTpMX*!&HuZ6s&xR<>EYt@<adQ8Z>WsS_q4nP6oN_HhY
zd5^OfVGY%g5KPBjj5Uxt7UQa!h0H!Z7J+?Ty~wvvbh#2wRP+s8&xTUZnzp7xQpc2y
zb{5qR_2?C-NjSR;`!&OU6#t<hh_buZ8$}9>p}(W!N50eYf83>L6#@NH(4%Moj5|OZ
z5V}!_0SLGcP{aMR1p1LHNT9!;L;qt{p=YPD#FZzv!nhUo?$=H@o!X*X3%hQ^U-I2%
zZE>a6g#a1s7i_z?-FDDhp&r(t$LD;f=G1Ug8!|=S+!SBPgf;MXW6T7WiaZWLt?jJT
zoK_g5>+e(5kZDRR`)W;?)kAe+qi=5N?f{x!geFAg3(AZ7s~dsZL?gx<gI?ebHY#I{
zr5S57-X-Qs^~F}uIIGQ?;!n!)zL`dRcB%&dq3F~>mfB8qGs(^Z#y1?QHN3!Y;H2~_
z%t0{_R~@Qd)pH>xq8Z{NM&Vp_h$^XFwbX)WFSi5p(j+^*3f&gWxgq_myAsM4a4&fl
znmI^Wy3PuQ^`vrePdQPdGM|~^(G*~%|2cF;DHob|J_HP4v$bMz#8!||4oI~!l^*@X
zUj3;yt_!t3#DLV~NYwafqjEX#`3(=_t9mXhDtL^~R09-J&}prp)&PB)C??db;gqa~
zhHIgQ!wNZ3@5nc`rC!h`Ed&c6zvoKzJf#oxLJh~2BE~@bU|bGpIjSu3oT%2skb^eF
z5>h>)p!84u^X#1B2llf##xv~Vs5;@2G*?W<Q(#zH&3Yz;gYPd>a45akbVc$?6wQW0
zOx-QbMJPu_Pf~p$-hNM&j<9$0-amo=@O3ph5LG7@gXT((Qh2>%5f<fcWbWi7cE1jb
z$#%YYA~?q~F&;J2Q?<i~$=;%@pm`+&%()&_7g%ku&1zp4!@Z`Z8U`H}be6Ry<6O9i
znD*z=(<pwrG>S1!vxVF?29M?D*0@0Z6i4~v@DE@2)MgXANu!3Z^l4_Y%IDkxo!lck
z>9)I`6Z)avP1^VnU8Co8cm8Ll`t(9O6BEP!oRj+uk!#MXuR-`Kr(nfFks|2`2=-;D
znEfgIDMSmyKA3`P^TA<A?T^Q5|LYBpXE(2Mi0+TC!CBmJu2RsIEg<OC$8XpoXoh`c
z2)f8OzYBSw^53DX?Dyawxq=m3k%-bgXoG6AZHQIyyD*z1`*9FOiC(0{$L|QqB7X|l
zrZ57x7McgJMkJCXbKFD4{)^Tugo#2kQVH=N3NB*g7i>#2vYCC%93bW8QmD%yFZfEw
zJ1Z~jOFGrlX;>uv+2nLj4rQ7!_XLMZ$jm_^*_>6E8TK8Zk<>@Vg;XRnb5OAvF_IYt
zS59VfXc=UtAm5FnvyXx^UPUFq{#mMq%hsMDqfk+{u9tK9SzNr4P{|a1CCIH6;l)P~
z989xm@ll(7LRG8Z3M&$#W@*+lvxF3)2M7yvw&jctzA7(7+pzOeboh@n)hn6m%u=8U
z%sC>@oONV@c?c>tqeB9tpvehL4jF^M6y&?Q3~MOh;!@c`2(m2=7lJcGkj)8!wMzD3
zP*y<4hu|OE(g|yQnrFpHWq;9L>$`Z?cT!gNOYl$H!p*W@(bD4W_t4r&O@q~M1t`hS
z$0~86m;?VF7E*Iy_M2L}IcsZ+P>99L8TQ|*kO7|28TQ8|#!R4#<W@r0J`it*?g9bQ
zZRQ;iCqqU$+~S>%Z$Uj+M?F}Z#m6D1S=3R4nmWh^2V7oWr6fOE#x<{gLMz{=2Qob7
zxiTTXL>>mvYePNmy;<d%R9%zWP)kWO;`mrv!>0AztoJVOmr}b~a#t442(T@xZ2aUp
zKR=>_MJGwlDzMbTWEM@(LUxwEPjyo8TRsk=U^#OjQz{LszMRp`hb1C}+OY50fnp=0
zffU>1P7WcQ|Ivn!U4|rQuo=G=-Fnw5E`noHA|=g5FE8EQVT~s`fPD}22j8`4e*v2?
z>}&8R#f$74kWwyiA2#YAXMcs+i{uB9gI)WL#l^Hy`J7PT5L5Cj^iDFhFbAgNsAvMe
z3E6=GWCh?vR1A=e0gsuW{lQ74_OcNZ;_L;x511g{4p9}P;n?f(C!I9XesAvt{OBwO
zp?h_j+X<b%T7CXX>2M@hWJR40${#1nE1=RBDyj5Tqv;cjnp%%PxZd?+rXQpSELLd0
zvO<}HWQh{xIw^rwLA+W@T8CU1NryzL)W*a(G1|NGNP<Diq^2Qzlj?lY*00@oC&00P
zi`8T_|D|`y<FT&>KPjD&Rq=HDw38p&+ca%&wbG_rK;0x1QI)78)`3db-XxfqS(=3n
zC%j}D9uxymY#NSBQxWguE0$!x2De?*Zn@#D8f*46HZ#MXDm~nYD#loJu>=px_<$nS
zJWtYWmh2f+qF6U!63u48d1tQH(<Y1E5ACr}<DWYI`3(MfKs`C|RA8P2!FUXL)FsDp
zI6CW~c^Tb0U0=yM$@a{K>3!?nFeP0WW|Q_Ro0OCp-5h-dxIlM3nK@I}UtdzC;*ExE
zVu>bF_<<2h5|rGN7vry0Z>!s%1S$4ytR`cBu2J^Ka+XP1q-!;cWX+$Z|NB<@O*X2C
z@<jcxFF>VhZ=(vBTbieh#Asxhz9?WHW|`)NWpelq5k;NAek;TSU>G%B34^<@l3SI{
zs$5QS1-pEltl10kpDHnR>>1)=>fSz4c$gDXtiU81V9k^uB<xhyn$1I_+?pN1C$eVr
zWU^+Q;MG{OJIKofSEJPB2#jvl=s<B<4;**q=nb3g+tcgazU4rKTc&VSEQ_zpm7yyr
zJi5iZvozD|7VkDyD&DYIC#G+2F`{4t3*IQTLB{Yt1w?gYn1IM$ht>R37{g^N{U&2r
zM0ujU*m0<I?Tw*L0HjsikjzN-<AfN9Vdn8hqj_ZDWD6-W3E7!$N-H#!tEfToKKp4T
zcZU5`Y4(u|z+12cUjY83>auy7tt|j0LSQnLxFk$h)?~f|8s#SQo%lp1lb%c_lM}oe
zlle+NtV0BtIJ7moxvb`+Of_mYmFwQkk?F@UGnu$`G6hFBkslI#DmNd^+^U<%r&Ou+
z@1x8>MHnaMaaZOwAc;Q8bgEJfWEMZEI$zx^Ccv>zU^PfhBIoQ$NLzd3VqzO%SOg`c
zsXrk4HcV3=xmCq4H-a|A`1y-I#7eHz&ifGVcdt?icgs6S<%V1Jf(m^0B_wW!{SQIo
zaF&&N`Tbae>*YUF9W-;grk5oipqC5AtE^uBKhP-G%iqB#(#!N@(#xFS)#&BhfP>-4
zL&KXrSWzkS07X~;c|j94kE*%nWUEG<%tgkw7Pw!n1!QHj+8vkLxrw?T%mJrCWd0p@
zojFt!F+iH%1P}A8dn#*(kJT1~phb*0>m?gHJE_CGziLk>ov2ul<bUUO;HFYbX<cPb
zs8Z|Sk0yZ^3%5jDP9$%*qD&If7|p2OR@adUQtWc9hBWrCDDVD>HQ)xp1j+SZSC^<%
z6iTiKoK%IRcGFVQcpSCjVYpi4FcgAyvv#A6I;WPs4UxUV-azpM5Tb#Ct3~jQ&g0r`
zUoSL?pui^|O;UJ^)oU{?nALH~c#?u!tn#P8(IQ~1`@hOTYrbN{vr}3Ot!N+*MnP!J
zIeP=z4H6}xs1RC{0|L*7i%8kjQE^gz7wwc*gkq<z!81n=-fnNHIwtAH%EcY!z=4Y(
z1va@WA^*LdU>h{a1P~__R%MXMs=**_4P0%=4gxKpI1=^tJYAUd`}RH;UnTP?PFyLi
z_IY~)#h{7?3bY!&F=(~bUYPXFOx3GaXT=v3nl;+jbFi8<+H-bdi(wTF<TYB+rAfOc
z(nzlwj{K!bRiH47ZOu-o4T_8`TDjf8jIhiqdlTFZRzj^8C)ou8XsC8^(w%lnMz}bM
z6PUr%s@sO=g}am3gyM5;CMj=R?}@N>{pMP=K**kL0-wM(dYPWqowY)tdzedFZr(^a
z>$D7w+jiuHMPM!xSqw%3BijmCt-b3Z+2mC#2jO+tP^%#Fjf@FyD)f!$*Ik`>jSDBg
z&wH?hhGXeVK744UcJ#=RBXA<T<I)`-xNxY!fzldWaqKtgHV=7f9nRUp7ZlXa@0!%5
zn3nwl=Y=<y=3C)H*?6P%bE1nd4@x4#?)s6a)^Z&fkCz|88$}v$fFI9b;$8wD9Jn+9
ze<Xu8#nV0fKnon<ggXQHm|+;X8l^R_HyN>a^AY>ysw2jpz!LmomIMp-j@%KO+2Kck
z^po#m{;MY`Vrh-=p(>Qh!|=a>g$@WUeG=4K!C4^o+Xb{+59q#BEzm8e-1(ro7aY8e
zp~)Aq=@W$7s$TS7OG$VBPfB-QKPUGyP)b}2g}z5|bo~z?6}Y$P6d}G!O=L5(vh-10
zS`G@z3znZ>%~WQdt08gX(CwFrICECr-c>rN{xzuBj14W`6)?FoggIOcX9x@Oy(o83
zJ;NAkpyQ!g!P;h9NGvU_@wCYe*RV6}GeZzX@WtWuPf=F;;dFJ#F*!hsDhqBx!DHwA
z{@fyFSI1)o!>He?|0LyCOr|-|%n9bfl#KpDsLR0U_^Ldk4?Qk>G*g|KYK_(Bh&*#v
zoz>aj!O)aFU;aZ-u^Am=bp=h1)pN)gSiK<M-aI3y!Ho-E0y}4G8P3l8hM<;XXKR)6
zDC{Rn2#GkXi6%wgTq}?}CXT{>kjv9r9fdt#iOa-M*a!;^v4Gl4=5jyem$W$iYjHHA
z<a0;qqOxU4#@m()2L7=seWCNTkCqsCF+|wsH6EfJB7}sWN#&aqsWjDdQe*F}(mgp@
zc@GvUKU928N9r_VrVXpg-z`nlsH#USW``)B-=^U)D?VwtertF>c|IMXt2E+vtsqWN
z%lWO`5w;f+QL1t|r$#ch6;E5cT$_*cy}_ar7pU#|#_qSEV|-(mo(vniV)t{@(-t>T
z@Kd$3-SWT)Y~>!s;*~;DjoY~KuWp1W)Zu}ryVPbgV#DV{+TO5sv`^0bC7#(+)e}?c
znTlC#q^BNFD{oV!HWZ@Cj_~lyiBu1(?*u34u>Dv~CR*nEAaiT)vdXXoDmgewEeIe-
z&}Px4LPwBhqjw5hgsi1p1?fa(jo3@E(iwKd3YYFt<l6TD+eF9^VTToAX70mzm(YN+
zAF6kG4JdC?wwyY<9UA32@KyLk!7cP;(1C*B)daVkKt#o*o)x28r1*k5yrHr>6iu47
z;`=v(R#d&9zzR!L{$(lUsEUmqY`7@+Q`%`Wm+Ct5epM>ofcPe=a)-vXa*m!#Q_6s*
zrVpxaS67?~WUPzT&`2jCPX*t#gsJFmEp!S(db8g=e8ftRu9=DlFQFuvp0U?KrE9Ok
ziy2pF@{Ptsq}fjk@Q0b4OEr@tb`+H5DSW4Rj{PDwF~i<jdYGjFdOeol(UosgWST`=
zGeELeV1N{xCd@%o@Dc{-H=t2&fS$%DGC=fXGC-W*)fk{xl4IHJGy?n%?C2(_TGV^0
zQL_<R_fhYeehf21N%(T6;OK_v4+WoAGen<JrPhDcdj=}PI59=LGOxLxB$KLC1DT^Q
zs?Jw8M+tE38LVb4%+c4a^q9<15haPnVV{6X*WMhN7+4yl4JWW<l0GE{V3<jg_iZ4{
z)uhT)M#=D2@gCc@gUr$v{HIjVwKPlrnK+F|eNK^D$}GvAfmu@QnlMROv-AT%F*i$>
z;}e-BdNP?MPVj2X(n<InczqG0{_D%|tpfTybmjPe75RU>()y^NX|sv?(7IYD<-a*J
zSJ<0jhN`R9O9jPe`M8Aem6rv$@ENbPJyyG2j#8N~C*#FLaLxg5VdsB&RGWTH;-v)*
z%cVx)J0)kN<6mYKGW+dIM^xE(1CMTU%wTtByf}<WNNwSJ{R`kzNd<BU^rSTMClz`{
z*3}Rad^;3^ebZ8rwD;K?D2{U!4HN_~;u~EZYv%*D0(0{Y=XX2kUApH%rY5t7);BwB
z_ex^><s#_L5`dW&i{m&s6lp6^G|9m5>k~!QYCHaNeT*TBiP*4P5DC;VYzej%)OnXz
ztc{Y$55}abI1_vSj<p^Vt)+4UGav+Y&Nc@#zu!)6F=vYg@}Lx+Rr!zhCbXd~$)lCd
zs#F2vkL;9I1jG8}^RyU$(cW-%h^%do$VJw(EzjC}P!YOqXst7H_4oD`s$;|(84(Q2
zS(fRYY3-iTkX9%XYh*?Hid8g`ms)=PcbX%wv$s$J?RYC({R*Z8J~k6MJ(yYz#69C9
zB5nobn4MfJ=H&o+wY`NBfUp~(inYVT!hv-=tu{1<+GrUNUu1fd!t6Sb*0uKqTwz-y
z41`BOOa=I!o=_UYmf4rx?nX75a@N$^Ppz_xUn+TFZ$P+b*iYI~*EmEjvJWA3-1qyC
zC~P~D0LA3y<6)%?lZj7)zP8A=gkQWBn&eCDx8V~lvFXXQ#OCC#W{G{X-&qPOI(*eV
z)0JZ|urcE*ny(aWN9mKTY+eyLOcO8QHkFEjNc2Oo1g!_3vhss{J@|fAcKt^-a2$qv
zC5!LV|ETJz7?Hd>P7d>>0seHRXvWZL0#|ZknKV?+Mj`F#C8T+x{fwR1Vx24+$U{;P
zi2j%M2CAb`;T&`x2=kf2@7n3K0g={lMGHub3QA;$eFWReaAxXDDBIx+2J~URG-plk
zvQFVNEahs{)Nn#FdoK{P_9ii-rGyRKFj|AG^!o%$6kF*MUoDUofX`VCd4jxV4ozPz
z;8#E&g<<Cw@um1g7LlF|7Ex%dQ3Dc>wcO4!T=+9`Na7Dw@-g$)R$&l#tJ#;VYV<wC
zlOsvk?W$D#-gV^!$1?%+ZDaLWpgD;Vsh?!pFfP;iuA%&y)<3UT{VZ~5+NTZ)M(jSU
zCZqlm2O}JLAYXcBo$XoMHYwerRuc(iw?L(9ulsTgDYf6mVGh!Nw+hG$^`Cw=_Na`{
z#}k)ad5H6us0rX3_u`w)aJ+$kcvh`pMkuLRlKmT`Z-%|GG-rqf&IS@v8iz-camb(a
z9DdMKecMeQ{^Fw*W(4f*RbZ5-CI(pOfRJdz5l=06c3&ZP$ek3!TQ%UZAp`Kh`>GI6
zCt7|DN(@`oiW4o^$&%+A-cq7galS#0sti|2)Dlh%bcLoZu%$>U%wgG^E;w5vxazY&
zC7)1y4xea3K~K-qgreu7*pI$xU2Q_aTU*71;t4gO5QJyGuAK>~6m#`Mbp5;bj$f%|
zx##~-4I?t;Wp<@5yVJhbt=VqbV`00+PbD|B?EfZ=w7$8QUX|Ky_t#a~^{+Z57Bs&|
zc77jS7h_18ZdSX)>6%hxiDJnmb-9nO3)P-WPxHXmX&Vn1Hl&|}!B2Y=%oo<}wKq__
zh!zbLY)Io9ooBTT>4IqI*@F9B64yx@iEHhIYAfmI$wzZF5RgXI?4wz*6I+a`XrPpj
z=2i9vs-scCN0SG_?4vntr_%;R+DO`2-N1=34K91HQ)ngBdasjR8i0ms_c}dlr(}eC
zoj8FRJT(@Pt|ttd_<OE9k^md}fX3)HGN%ZKo>Y6n+J6Hd{5vR=7EZIu`+&WHVxANY
z6fhdTF{r$w>RUr)XBGmkybds_#ZP8hPfrr`IqCDH7C)Lp-mDh?yPeo#<V6E{ND5;_
zzG`nm<NA_#REiO)0><CkDXj>GHBKXKNw@7zGwiBa#@cqt4UjAsSvTolVDCXi=nA$#
zuCX^zor@}%*E|oI&Fc+zI;}t?5h9iVfZIlIAY*Te<N54rwSxV=-%6;}eh;Ogn*HwD
zDH*|ja{@DXYCLGQ-_O&Xvlp$sG+60Jp-@>X{dRi;#jGtFD6rD_#$csad*|#2GgYrz
zpC-1xobr4!2dmixf80)NF|4A2ya_J4bM{Z{EogjO(gIhxb2bl!S$TfNPN)rvj4T%G
zHajy`&~5+EN~l%04W*%)ZriaZEk$WoXCvq~PGAO4jYsmjZFpV`=uRA9?7QfbK<83A
zpj+F%FJSC~z5MH}oi8)hUR~hc4?_Dk|F?ij#?=)ekYLBY3aC7v8)?F;CpOZ=AkgN>
z*MyG<2ISc-NrXN4JZTp=xhC}BJ>-Q>zBk6di9+ADacUj+Jo#^7vr27FRVbn6#O!Vy
z*BN%I^zd$&O)2GBCEQPn4uS<vFuvzC9_;bK8MP3u#C2M&ntK5vrtvg2ZUoMY8w%-5
zZ#}o$avG4$kEUo0@P=0MhNkkW!FWEZPDZWHN9|12QDZ-bCHRG`2_pXp7qUKBg;Kd&
z*TF&ur1XIJugQh1$1*-_%eAbFF7g831FpfvcFA@|`f}EsAG@4?J1z~1eo5LLP%3{>
z>tm1#yj^rrE51t2{xTZB(nYQB&Qz8*g1Q~RZ9s8R>k~wrIjcSws&rB7d!S-7HgtQX
z0w#BRWeyj^?Ue=juE|~0TF5F&VB?YnKoe(MORQGGJ}bZMa0t3M5aQC-H&RynrLFg%
z?yJqV`>n|D!f|Q5#V~}EqK8S*!R6DMOu#X>fGiX@PVjxqh^}^B0-Y(eBObZtj=i+Z
z40VNm5op!f*33R;4v@FIexCYWC>{7pZzj7dla`L@G%VCHs5YCd2A=jZzny8q+!IY^
zzDXpTv+6R#J`9=5-uU`Akk^bD$&7+4Co?&;3^G%Y??&RQk=RGU8Ly%ekgY6L!)5Dp
zLq?&ZY+Wy>6v>6iG6ime$B(b0a0!_rywn|{vuW{BS0c+O8BtFrO6J<VY3?@jlbI!?
z5M2#*8B7emDlbGsuSmWrQ=OS=O<-;$^2}LB7MNpDu^Al_7zIsEU~<S91g0RLx;@**
z8i{C>$__%1ZE3g=)P^9N69Q|M@*3qwN{E(-Xu^qLHgG6A)ezSxpQWs87G?IvN}MRJ
zQGNsq4VkxUs}OB14o6_pYj5!zhVAhxl+e83%_W9S0E`q@0@yynB4kXiFe-(N$px|k
zFds6;&7I{;)`x)!c)-|4pkq8>jGmsKfU)CJhgS<h*N<eq43&N9YjLHn_r^~}0|&&<
zI}9B1E$}C#l(6Mm#XTx!Ow~pHha^g?q=EUol`ZXYTAx*A<6mFzap(%BOdxo%{~VTK
z3)#zgzovRy`H0rDnWE*4oaKIss!n#KJ-v5fcCv4}B+Z5yVv9Y?qJhlH6psYr2Xr%&
znrV9rngdn0`4%{;IN9@1n4Rn|wi9ZD!mMDWQy9-mB@)E`0(k_PGbzdb7}D0>&6(F7
zsDa>q;*BK5<P`j`Laqv(v0jN2Q?dduRt5N%J~4GC@Cmn9C-I2_oaxDGuabc-@C=9}
z&Yr_9g7*^{-XPl8ci?MA@fa=Mi>{W(*PO1`DZ1z>OP9AZZ{ugZo8n14(Q_DW8&ogC
z#Cak)69$fVElAJ7Gj!;D%A4`F3UUvDlX8pA-ye^MK_9-IHSi80_ic`+8~t7nKBZL`
z>8IkIG6lb$H8>SdfU_K(yWt?-+YB20$Zv&nOTC~Ixt-=99{<-)tM7&b^)0^Lr{YO<
zj2+5PLO<Z6YEHWgKX&kD>QMJt_&Fth_IoY(wJQo5a0goBEWU;2#(=Kg${@aEDF`C?
zvYM;CJh?gE6}pY6({I-=ECs#x08*wQ(%SFV;j{K_C>lbQGd#s@xs*~zA9S4t4oHR;
zMS+$Rf-f5qc7nq?=tcFGd(LeQPHu^(Jg238j>UVy)eTrhPSg)&rm=Xe=`Qw{q4@N9
zr-y4%$N?YgX+z3n)C2!Fc53igJk5Qm@+LjFpQ0Zv9lqgk=r0fAE7C9PZm$>g>YmeS
zw%i`zjHH52k9P<CsN0X~NiAbk%OF0Gd6TJvy$QH6p62!DOJ9+GktrPS!9IillqY=p
zgLqfV=`8o1Wfu@{x`TL&+Zn`{_S{C$Yu1}?7x)93@d?=RM$lP;ZUQ2Hv)+Y!Is6L{
zydO_H{V1p>N%0mRm}*zE-|p5G;{mXg0Dd#K*Kt}nQoAVy(Cvgc{7F(bbo<SqexZ#l
zwa2~C4MMlBmn1G}MD=ri=tn^h>#8^X&{=F@M+BAIr9gOx;+@bL+~05_Kj=XAT_Rf@
zopj;g%pl%RmvVw154;hO2gU|#Yr>H4=sD-rPhio#C{@5Yc=i&cpzTM4J2!ph|Bl7e
zUAJ2YSX_`s*f4=+c47)$aEIa%*Ssj|h70ra=g*&?>#jr|e8ev3EzdXIbMufhoFByd
zumq6;CF+sehRv4<24(`%4_|ZSWq|B-Z>f=K22+w|u8_?{K>&j8yU`Lg<3;TjG%*=D
ziy%eK$QzuThz|fyw&8YhA)bo-de{Z7A6$(0ge#rMxls4~Wv>PQ<2@{`pabl_Gi*B`
zXb<*5u0sIoQu@t*)>}ct5zroJcn*jV3_O=N7)pW=N}ug_p^0fwN|7JI;Bh^05x6I4
z;JpBeVz>lVMc7|V=iB497u_bv>I$^wxo}C$#du!>_ASoV-L~Vm>Q1xSb4fEi7H@Ss
z=LRrOh$py;0GR~#@;gl*7(S}=TV{wE_CiCzE)i%-JeTP%g@cDdiKS9IP8)g+$xz#p
z`Z11T(WLb4n8=@*gI45z_!GvHm`tu^C`>O-h2D!F9?a5vuqQWplkvE?@<yrTF}_cl
znC6>kdZYUS;xRvL2f(rDmG}c_3+5$nTc4{7_%sMkL!h&8sVGdZ&v;Ahd)ok_Eo1Pf
zgMT9Y^9B6#CH!-I9RA#ff1boYPvIZ@XexbWmf^Q3=xZJfuQX?P0Xy9$%kaiox=V(x
zdZQ!sbiSVslrlVYN;~2dH$am{nppPZUAjQfXzptGU^0*$V1#)J>OGl{vyGm@^MPgo
z0ctM>EhS@=^|DN&$~~E?aZ<KQg)T|e4<@V^q0QWvtxLSw6i<OxZUlYQxr2B|BWSgN
z(V-7unYW)1>5l^&K03Gu^h($1fu04f4#6Ps29<J7CGSwlBtkp<PNUUtf=&#UQI$?L
N(S8V3%SU+b9{{?z<>UYW

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.parquet_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.parquet_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..248920fa17d2f2d6f1e8e2cf44e011f4364e9195
GIT binary patch
literal 52869
zcmdU2d5|4PdDpeO+CwYJvSnZ;du*5RTeF8b%&}O)hhkzY$U?Rg93wx^zBjuwqxWW>
z-^`P=1_c9gY=x<C=uyUnaSHeY90HDkGIwk$iBlB{n{YW$A%#;mjyXe7BqTtb@9S&2
z=jb={R!eDJ<<-2NKED3-cXWUKb<gbs@4fA@HRQi&bI`IK@7Ro4uX}#o3cAt8x?k%w
zEidez>`uP5d%RnThTG=R!0)tcRySG$Icm1ksJAVzd#D?YWA@N#1T(DsP+-+U$M-~W
zd%zyFhYocs_HZ;1I$^_-UPWUE%=WDvD>U|+q1nZJkZr^D)-h~9@%D}`p$97577eyc
zpdjqpTchEsAlY6Y4KhmiM;jWBXLa{?=FMot48yiF-wC0I*rWAMJwWP*Y7H|8AQ7Gi
zJhMrkHr6|>_{Y3iJKVMwFi$5M3e81))wMU<6ZV+B!(MOij232Z2&{H6dpPhcbAGn=
z;%ckyyMRM5d+l}Aw$<{3S?u3|w!h#stoAGr9L!QeXY23+vXd7x_yY=<b*OFzx`@zJ
zF>$6HKxfa{x2`j9uZad6uWlWaaHJ61=R)V~^8mvO;Qw9l|Ap}XBz6?AYCEKRm1slD
zblTl$rs>x^4eQlLF$%iTG%YY)Fuy&xKkS+v`$hJ&gw?%ev0AXqu+z4x^KH|s*$Q0b
z2Zw7`fvdGNhaf|zy+y-cDB4Frcr74291TNl=3?7y*%Hdp^p(CBnvNG3gmH|}Hv;pB
zWtd*wX!vH`U^I~CW+*#vFIy^R^D6<j%PEiTx6eUN&K+Td`8B|br$4-$7XaoNs$jT=
z$nBiUzJmdbDQJ;s_W>#(dqF;o3LO#0D>&4X-RLF77<oo&rklysbZ|f}H-HMQNesg^
z-x|=9@TM9#pgoYAr99Dlr1~q4*Xo2-R0h?S8QOEkwJp@9X5%K{<wM49W54fNQ>2g5
zyBj>nb5jf0&<tj3e%qQ^XoHrTL1eDNrzr!A$K`!eYamsz*Qtg4{UqVs3Up{QA=~sk
zKQt3sJsPBlb1vsUWA+_{p>7mo-)Q()voRO6Otdi@TWt&U=@F}oT<t<F3rx{|^mJAp
zDxaXZ0)S%_KrpXpHMmK&2cioLG9QPxaDEm4x8&nriAI4RrvYq2TeJyDC1Xl{Te1PM
zZ?oTogK<0_4ExPQB|#sDNgtCP9F^FbcS1>134OPY(2YnarE()SmQUb2vj{wc5ZD5Z
z-n2ri-EhE`N<(qSX(4n%=BTO=)XJ3ZDnzNMiHs;JooaG$HYY0L1C&Zv2kC+QL5kLT
zT~lTmWS5V_XxvZa;7l?ENJ^{Y)xu6no2;GVG{BSE>La>VTj^H+mbJP)T5BY#x?ir!
z{sgx_(I!RB3INAimRARBQ#}SVKxrV@bZdLGk(W!f^BuXJe5(ypYiptIH(^TAjn=i6
zV4?;I;Zh5<-~bWDF3A#_?L{jD%_y3K3ChwOosV^+7Z%ecs9BfhXtn!sc%A^Dz5&DY
zu)tyMO=1*oN_6RGnl61MHS#zHSoOc~ss&{0!4f5^{;j5Jc@`_7Wj_-`Wk0KcL>iFs
zv42va<1kUi#Ru@rA(c9J%i1+-Gz8}M-BRZ>pHE@Lr6Y?^iO_5nLgTlrwi)_ui3g*#
zy9LR+6C_`xB{^E_r-a6>U=b><IrI!igN{emRFdx8fb$Vf2mPT4ulpK3DWIYj%uXY$
z9x)poOC>AX7Ia!Iza3VCrr8c}?fAHUI{}>Q?iSQ0P?p$*+pLd3w>}Jbew4Ffv<Kxy
zn){TTK9TNLB<-;Q>k}Z5A1VkpYC*6wS;M^n3aP@Gt0LV+eFK?1${R=zH+dtoywukh
za}{(`QPdb*X-yDoGZn4l`p!s0EbC8=Mu;2gsTSO&6zaJu(S4Vm&}`IM18F!02%rf`
zzE9soc`R5frxu6@^;DJwVnVZ!Nx<{4zTxulXxr`sv~^PkR}A>5GWyr`)R%-UZCKs!
z>l-K!Pchq?Aw>D+^%r^?wIE0nm;46St}Ac9Sq~D%MXRTC)M#hkorE3=+oQ4C&({*_
zUINu5=Mc<n_fX|P!ycK2o<{pcdP=TIQqt2>GXfKMO8l2^tk3bazKWDF9%A{q*ooh&
z?CsTdF~=ld28D{6<b(PKviX`dkikp%CdVX?3zJNoIHm2aov6CldgT<^+j<Jpe0%#Q
zJ)zl<vIf%jb_1f7(8wqBEl3PoaOy!D>1{aDFyt$=d-X)>U`PmHwnEc0VF`uyX)U2z
zh1QdXatiHHJtci8G)iCsPl-Pg3axj>55h8q`8k<uO)7K9#4R1zxB?GKHyS~Am_Ls@
zOkKrI7Y&wm3E0otgVDx?PNP9wMD|Ja3)JnMNW#9gK$3|{hpa}aE3*bWAoA`Yciva*
z%Y==)^9mC-)#eQ9YnZzw-#r1ofDU+r+E%^VbdJHs%FK1(k2LGo*_IXVg;mw-F!h$H
z0#(gJn{=xTTgS4uFip5U8e#;+(jF(-6YkFw+!1>%qN`6?AE-SVj)ocz_#n-Ow3K&$
zg9K3b!)40_EAAt>TqfK#>s7m<DtFinB(5#$d;<5-G<6RtT!jnn|3eBV-2a7tblXtT
zAaQ8bO8BHCr;a-c#KwLd;Q||lO08q9hEsFG?g^6NsM+@5QSyShKLpw&M~{6{@d_;;
zSL!j_8Lg&G2ozz$-XOu-BV`3be(9P2lHSapCw1;~FdAGTxRc0)l)tC)`8!=#f|p;U
z=Vf;U*@w7Mdvo%Ikhc&gyJusqGM8S0328@dE|<DHp#Wh|_Z)b#PrBz~4dswv+~=N$
zH4xRz##OQsiCupz0(-)8k)NU%Q-vO@>z7fT8*rUlYID24!eTD&UW@&ia9@Z2kZ6jc
zJKd{J3^TER_0^seI%dPU%_1Q%4EqJYO#%uqdI1F{u)+Yt7;tOAIB@yF*Wd7a*Ngaq
zWz`Xn#LaXh-dJ`d+?%k(Is4YbFlP4gFRwH`W8N}?mQ`~W9II~3FF~Y4fcy9cY}hxg
zrr%y7{WPH8M;y~I4cr2UOrbq9LYFsz0X}dHzQ9rtc)?IGn&y&WHUeL5p+hQXOF^R!
zGkuKBFq<<Y2YhIF9x7+m&IzyTeWy2_u`-NKcS?a1+<w_;KxL!hXcL<-Rp%Ri?XWa$
zir&q~cQ+Z~%7_8~p}15*ewt>uo5;%?#y(6LHQRS;I4eCLbCCFm^QVmS+ZM!2)B}8U
z1K&HJ)Dc(>m|Mf7wB|QDO)uaT;m&adYMUgvY!au%-<jUh2o0P7OM4npCIp>K3*Q98
zqceYO`Qk3&Fz)0cKCF&SY(nmlP@gk85WQh=3=KLKDCkFRr)Hz<wk??R(@33>8Yl<f
zYb>Gsf`*Hg1nRnAgjd6dV$NV=0{KxB@b|_-+ix17Z5gmSaoQGFo7@d_8dE4n#(f8(
zJ>j0{S9TyMQC7jj(Fmy9M!lMdc%XZ+Bp{Q#mt-n_#fl~)2Sy;QgN9KA99lU^^o4NQ
zhs$)t{UGiAefSSufTFWabYkAGFQq7j*Q4{WdWA5_+)fVTn<}ijn(5*(3-3vUL>NTS
zjp=D(g^+8JxrkY!oQDB_V9UT_i9JvZnHuNn3iO2UElN#BsptweCr+iSC_Y*k#R%u1
zOoD3NyHXQRT*>`CMfnl<hb{_?N^DuksNpMlE*39`DR)38xA0C{&6aHjP9S%aY!a}p
zk!Q6#|CXp;U6Ce2NZfy=<bH>co1aylpwlHl#&nznR;bYe?)RZ$_nYu16D<spa0OIr
zCwn2aJsL3n{q~c|jh+;u+oN4Lx9QDQ0=l9F7`^iN^;#iJxL@jlF7nM6AP-djS(4TL
zBK*UbcZ@4yQ96j$z^F7~U*BoLOp9ppNfagWLJ=RwW0FN24`3yN5X>rC0<a52B#F#X
zSC0D+QnL_k3C(aNM1Kgl2qT}pL1pB8_Q~e}E-%}lt{i#6S2Es7d2zodQ$4Q2!s$;Y
zt38=YG?CvE94aO=lZ52_tg_6wzW^GE`baohvSelkD$YlY$c%t1B{M0sa%3hW->dp(
z9|32yj7ot0lT`JVtt~x9p`>hG!somdT+|Su;wkF-2(1;ti;f_8Un;8jh>bC(s>N@C
z6%nF(Vb;rM2`)sp5G>FWl`=Z`s<;qsz|M2gp+8irmlD<GOMxUXM+kZOS^E~4H$lbu
z=n#Ps(4+(=g-njXWaPV`2x|!7qC(k02$C)J7J@@PkWC4Jwo3OQP*y<4r{EvmA_i-H
zkY>e6WoKSr>%BDVJtV990r*F?a25AMQd%^0kgQ_FG+6u=fD-w6xD+R{Iq(;;keCCz
zpOo57SzFz1e#Bl*xL+$n2Dl9;+^-fGGlnjbTMAwMK->-81p>G;$==BhSoC#X#J(x|
zebj?h)PqI^9}66}f>jQlz1oWt8F6?F&Wv1IzC1nDMYXVeBr4s%TN3<cTRb5;OCm_F
z5Y@W<E|G0m^pq<{DMjVW!2wm_s%o!d-)nzB*#+Vonh;^{t`lXWPp+0D88T|*aK>SQ
znpm(@&@{~@XYXf;-ZDN+#}Z^Lb9N?5srbsv9NDaBqAExm`W-J&c*K|>#X5Q9V+m(#
zq_K3*M3NKO3||O-Qxt^@IY*7bDWo`2WvZ7K?sP8_Vh!Q`7PJf9|8}2({R{VL_@l6<
z`z)jsj)I3R@00G2utbhfA&RgCzDik}Z23LMv^@lC`~-T+Ii1;#yknwhFMkZ#fh%|g
z;QJF?5f2FsMj$(F!$LbILlM}y2KPqbiD(GI6^IIS{}_LgQ#{h|A<w5rS~0rYu9Ar$
zGXTp~{`<&bI?Jp1c#@+p0|52{=hjQ0|1ax9|0@KjCkQ1Q5IwYNG-;wkL}O@d*YjoD
zl_*Q>SFDMLIn*L*R!UJ-&9S~zO(;sOa=c@kzbOqVn6X5virt+8g{<9Hz3q<?bpH&i
zN!SZzHaa**eWPmY@71<0TSnPPWVIV>B-evVSHwtYxR)D>)hoHgSlr6SBimS9#*Ihx
z^6TK924ptaVqw}8e0S*lHek24W*Klw*r>w^OWZocZ6Cut()PtRb-%?0^SBQpp%d-{
zh4}{u2qPd`Sb_#k{I%$8{)9}jgB%;EL~wh|b&?%~L(9}isAkZ;8QOCn#XnX2^N;xF
z7V%`lQ-;Z71mh9ne%Czv`NkOEI9smeyRr|<m!u)z_<e5G7{7F%dfC4nvi(aJ@81MI
z3EU(5%<?%}R;1q(rJ_}jdTa%^WC9C@F#SR(6yl%xPXR}HTNp#>{tT;0*uvpIfQ?6T
zaRXmFjm{Zyno7t2Y3azbidhuI`pJC)DqRt)sOM>J7*{oa5!?7(HY&Yr<MXI9Fb+px
zQ3}HP<!2CV;J#px*th55KV@R!-0u+PBLttt3itAhvUMKsAJ{j+!7=|7wQsY~D79}F
z;}fxO<SEa-QG%Ca-}X5{HI5!%u5s&US*H+?Z`oGQ<S@~pUS>_17$?g1Z_}<R%>1%V
zyGoQ=Ma#MbW(4opplwRL21s#Pr=|+sK}^|=0)_IXEJo0M16GqTWgF&wzrn2-EbGWm
zwe>}9>v;w&tKC=uxtBquD`LPj+{>-k>Xlq#39e-0(aUsQycaLUX~JcB5L(xSuoP$B
zf$*Ls<ER4>D%Xh<ItTbAb({^#7ZeQRz8#61aNk;(XZTX?3M@gFa(^N^m_PBAmU0{q
zFm-~%V@@k->fQ&9Qd4&iJ`qz#p7Kl`C3rce4rYv1h-R(XmC3&B9F44jtB-8I4lc}B
z_py-U6y%yYwlkvf0($Z)h}TykzAJju8NE*eZ2FW@b^IA%Jn+|EeJ%ZU#S+~8arL!_
zrVO^FEnVM%=QzdHWybU#s+=&Yp<>6b#W4Z{ML~EM)kMLbM4Nt+u@~Qd%x5y$5`99H
ziXL1wYg#@WaKj`rYHWly#&4+oi4#<?zAU<3-t@$fxsPBqgoY0Zx6^@B%_BsARiyi1
zE-u>wt0BHWYFO03m7|oRBK3q8shor7-+)3eFw%Vo;?zR&x-9o;eFNFYgINO^2hZ`1
zyc&`2g4tC_WEoiLP1DQ^Pkx<fE??>jZkuLYc#=LUh}H!|J^wp}bN*@c@gWtM1f|(H
zvj);&Wb7dC&^I6*HZBN7i5=t=5O{Ww1&S%h2#Knk)l*s$iZNOJCn9cl>su<1iP~7P
z?e%it9MF?o5}Z*4hgrh}HaF`VDvyoQR-e$ob!v=lQWvY;s;5^6j5=@AD$PVz2?cJp
z;es&taVq%n9bqeU?Z`Xzea^m+;T=$@sP_MWzJY8|Spyl`AK&C?|K(mg@~K4C3H>Pz
zR6+HYea%<CvVR~2Yre97R8MR+tgL~wvd_AD<eT~y%EOVqdZY{#`C|Kwo=_bW30c%~
zdk!<gYPRToO3!Ht)m}fM7YLxC-1Q?{H>y&kvbx*H^&^zP1fCL)q;*^Gyl?}Fn>iQf
z*BH}dd&*fK$uE?_<{4h1muR7oy+j42o>EZEI?X`iI>$Ie&7DFbv%!dAbnge7u_C^y
zGqaY;<T7jwOIwx8O5&0F7@ON?dZgqFWUjd03PN(;ZqYenc{Jz%Vhw7xRXc1ra1Ndy
z#e>6V23#HL)D4CiJ8mlWT~0++VgcvgNEzdg3NtZtTdm?jyPowG2JL;RF!W0AFnRfO
zD4Pk&NdjB4kZ6<vmLC{(u+UECJJ<&To)ItaekOx<?IE_8h$X$|Bq;DC99y=Indm;P
z)0M7z%0}`7u-;24YUl4P+<Eyd$?KsMyH^CAo$Pq$+aVREj9Djb@Rc&9ODJyjxEfhA
zGRia7sP`r+Q!SgU&XG8FFzp^fTz*zr^Orizc^_1qj}2Mj3t&>`Y*M)7oU_TucW&x1
zXM!=rKu0~Zg562B5ZfH|QYSzqXEko`fhdB{4saePS@j1vU&zl5#fQvVGzuJ!?&Il9
zdL?5Pzl&33jAz7e0Ra*8ZvhoD6Xr8R{&;d;|7X&pOkT%Vax?m)nLSUH{V-8oKGhPp
zKSRjN&nk1f`yga4dJOZ&kT)M4!tDZ@6t}04$>H{ld}n6zf*9W@`#tb=vaa5I{a6p|
zQhcqglAjy9tw62pWE0vJ-AM{0fSns#AX$4GL~%}xO9($lCJ-bNa`CXry7>%*G_Z4H
z(^#m7DU>ei+vx;!Ze`-_IOIEAX!Y<;1Bm71j+-921lduKjKBexm+2JIY<r-DZpx0G
zXJdt(KgDA;%EEf+=`FeiqNIt=lQFB7=^h`mH)5gUV^(^_6&5C{UriKIntJG>78xEb
z8<P=l_Rhyg9HA>U;(GPK&K>d@FW>mn7h-`_d~G8}5;oG*f)%RV2k91MR+#XEph4)~
z@<*U!bZ?nF<?Jo9P1k-ygs;Gj;J$X0d8{++CcmPO-DE71yOSJ!eAR55(teQbO3lXi
z7Pd0o3%w?X5b3l@+M1TmxbQUsM>u&F@yoy%@`NT|oVW)F&-i^wlv<tW#v9T-@BH|h
z=xX_m=olvVajXVMHkM)cGmy3-{+=|4fK|gIh>Q&4Jo!B9Sf=wtvgu>YWFd13FNm5b
zjF$T&taQSCmetKQUOrbLVR)kAb6A3g;ru`lrY*)#7V>_G-YFm#4Z~S8!d2y3d?H~u
z<S9p0GJ-L>p<i`*H6qGxmRqjYBwwHb8OPaHo1RS0{OV^?b+G31mFK5dmGTtb>7_%@
z&IKY7<x@hHP5|SSSEXl*QqgM0I@YM85?k{bzmg`j1)1VrB>G=ozsA_PlUNNI^*BN+
z<0EXasNXC_dO>hl^6Ol$)Y2pSN@RnWMTw;8w?d^WqUm$_m?`{K%TvTeoyo?cmx<aY
znW&_{KJ%SmLHBxWV!}OGc+|PU+J+^l!MawES;%1VUV*_9TpROBQG?|`qjYZX;uA4g
z<SEZ!QG%CauwD<}46M#$;AnNx^5_TT`V1iz!J}89wkT=1GRVj`V5eQsb^2EFnamFL
zGGT#i!ZK>8(2)w@Cg?f1_zti3+GD(yk6V$it>MWs2#}>;2*$s34`03?W?M$XT<K@N
z6Ou=i|DQ6+$(|?b&yC+M%AS5lG)j$e9GSW~F=Q0UIEE<mz5L<8k+=dr3UZPP{`&=h
zS(Y~^2I_7oR5WzxetiSkfgP-YjA#vfBhRm-z|r-<-?YPty(h5u<el2{hZ8mBt8LkX
zrMpT8+b<R}@C5>3qQ&gM6$*uF8nPxJ7;knmtJ;kC4UEZ%CC7aaB7vI5od#c#2$6ox
zsnHYZ!59`5Ct?l%<5Ulc)Kam5d5Rz?heYQ`Z~a<NZ8m4K2GXEp#w`zzs@$I77-?t=
z@@T2J<uYLG&{J9x4DAOKRWZIu-*9<|v~BmvMcO#$-TEGsgl+>G?1WtH)3;C_Bicxx
zU}%DOZ`Kp4g(5!2phdf}j3&}jOE0ETIr27r3kA@Q*2BeC>PNb1LwzEy1>`UE<Z3Z5
z2FSho77763o`5QdisK(GUltx34tzjQs}7BxHkwBOW|`i&uzMTWl@;+5oZDluz=HwV
zgn+ERk253JYxRBRYvCFnGVwITvQRjRvtJ6SaleM3Pq>fiv6uLSufN}n)Y0|#S6Ja*
z+q!ILjrR-I-(va`kAbxQ*6gf34NcP3_Yd%itiH)p-s+o@yPVbcm5#UI_vI%RH|q7d
zy@n0vF0k32VbT36S{HG$#xBDRA{FNA^oQUOvQB(X%O3i5;;%*7RkT+{0qO0}%)VfB
zd`z7?CZm)9<@juaiuCqG(Pd9N<A#b^Fr-~wVCGN5C-uZ;Yi!m)+J0q3Bfdi4fTWfR
zPQpu^m`ekZe}v*1J)JrrRLz&Qyu=OPScu$B*j9owl}q}D;67LK1rwFCZr0N%VJSP-
zvl@;`cK-{6dqoVUvV}^dk$covPdEWnBE*>gifO@YV_x6_S6%^FO~C>2KuA_I?*dnP
zbKP5k3#j3I8$J=kNuF{HCo?bo?y>G|Sl%MsI?>NH-8^IhtS0%!LrE_+ZFw1X^9*^;
z#%t?;d-DB#$=}_gRP?~A*$U=h5iJ!@GX{A&jl1JNRW<cjqQhBUQT<dS2Ftx4t4V0d
z*h>kqvBW2zSge0m+jgFA&T2K5O!qxd>58bxEdJz5auxClQIlOZ0-0)3K2h{y9>@s?
zhbUW-&uOx6q`>Dj*~jT1AeMgDORR|cC@DD9{U*{k;eNd^qp;=DY7|~FAdklbl0GeT
z%3`CRDT61EvwaE+?PQXkb4*BzqdF^-P53rV&Ra3^QBDS6hF_H-o<zj{5=!)1EVCGB
z?4%sDhK62NM8ID>Uj4}ewX%p<KB|1*FIHDs^|N(5mra2=tftk175=ei&DFW*Z{ib>
z3-F0dK*-YyO+eZf%Kvh=$@`gr(3Y1m0XZ&DKv+K#A2m$G(y*ET6!}n;^zL$RiC?Hx
z=)xtke8A9Ed9N8h1&>g2iQzwmh!9V~r7)=SCZW21)tm2Ein6OnU2;&!TqE8}hVL4;
zI$>3uIg|zigPu;oK#_5fZ#~*os7Y2VzUnCTu}T)QoJv;*`Z_UKS@X1<-Ro<ikm_8>
zzxK$~H;}!iW({QQUgH~?F{Rz>j5xJQ375^$M9nJ8%gVZ-lcKE4CP<;0@3Q%GJ+axS
zvIYvdY~H7DKyot_M5BbuCJjWs%jRQxI(0y(Mo-V`Ih+Xd+oHE#{GFCi?X4GjX#g6^
z-FopYJtckIdO-<H;3=^P_e5cY#Xe{qbVnSG^8yTAlk}=&<Wfqm=P`qyYWtQm#y_Ma
z#oM27cN^25saxEBqi-Oa-&g|~OoVTGsxw4{L6Mf-Sj(u2{fu$7=HIzG8wUbZBayGp
zcIk=DMwK;?hGabemT(EYRNsKat3}lrwo%X(p8_IZon57;QwKys{IX-A^qg2io!zV@
zRIAQ<(ojyFwe*zqq0T6Q2|Ohh(W<i*x}fZYwwF1I?G7lUieSECyIbEtHs`ShG87xW
z$x&>}y`b#liK>6+n(h7+tofSl5k0Zlu(Afynl0;svd8o-NPJsRwUxP`EDc4zZhKNs
zs1AyREN1IAJu{ZjZU3VsRIA&1(ojyfjc!(@NM-eYE-0e}Ch(MaB(2+e=fz;yc+u}(
zgL4{ON2|fG(&lCcV`uDiUZm}Okp<cEf}UOo?d#lo3@RRzl!ZWyo%>QiW##t|m>Yxb
zAF!by9^gyZOcRDB{pm^BB|mwP_=m_{UN|*3=so4+)_K$LtfRy$1+IDFiZ4+@%u(F~
zIJy(={=$R2`dskBr$h!|AL}U?<jX{a_`&OK*xG<IK!Ft)W}^XjRzdJ7eh?F(pXK-c
zm|h)j_-QrF8f0_A5i%Hf*&6W`DS5@HtVGrE@Kx#X9V$C~?i;bhIs4Y*QcxiBJGjE^
z)-sgxy$KHs?c`zv+TfI2VYVmX;nQ4XHg6#>(5)}L{w4P4s@IvNynMyHe^Fsj<V!@Z
zhEnOP&F+F!;O(rd&G3~n8B7>}QdgUOFj1Lm6J@i2n=0&Tv-=2f`B~+uQK_rVJ`5G-
zV?!=`62PP`drIMwbJ<fyzFn!S%`#a<2y9fa0ElI>wb+Pd>?)CsuseF7ivz)~IeQz)
zs=wy!ATc|YW~UK4Ex7gwZ}|z}+}$)$ba1nuBolCA$S0<XS}Dg1LUI$@f?;}0JEHTR
zx=&P@>FG@RF3>8oZ9e<ta{#{#?c1c^nbLu;<YtmSYgIbNRam&ADw!+>o^0p*EYU=M
zPb8W7F(ElWt1L6_Ly)=X1!+Hry!nU`nGtZMWG01Hj?84_BfEe7v5$b0#xV6)3CLEG
zs@}5ojUJ;=QnoJPQ;PTsL7sx&(uVym6fP!HL=MFrTNPD&#0`SX)QH~#E5dpgZc({A
zpP%wsf(y|FP*;wL!B@qFsOOD>mnN#qr&<!2R}u2^v-T}8d!XWcbcnzRXi@@`LMBIG
zGV)zegf+x)M}@M35F}gbEd)jnWK%+*t&-n2_?7~q#o{+`BA5)5NKQ4_eS?Qd)>9T!
z^R`l)$nG0_3l{1zZ<SUd($X9b4ya3U_8W%nWEo1xyx?60hK&J?6qf>6Kf)|PhOaP6
z1<3G~vH&n0AVbZa=3vW1zyvft_e;<*8XiNQRwg{=DlVw~1nA1=TINvYmyFP5Z7(B2
zW}6%#BdSZptqA*~w>RI`a;ZLY<?Ets^f#*}N>|{O2$Rirv%~UiE_r#~)1uofOgynX
z)0}hpNup>m<EOa-Al}X_wz-D1t6LoTzW6m;)j2|f*lY(hYak6tmM?x>--6_4mFEH)
zILi3q(@^C5;?L6)s)Hh5@p9iWo^**t$$biW1er4~>3$W`R>T{csY+mafY<h|N};CV
zyG+b7ows&@V<(TZ3c#ji3`gN(C)WVmP_woVpGedvdD5D-c-%7_2<-kr+oZF1`^^bf
zA+))_fX@U(17wY#bwew@rgXhQ&_$k-blGF+sX)cPG#YEsdzPos{y_^YJXfR>&qLR=
zF9eaAJVcK9j@T3SdPejVcr@4P_6nlG!0)tc;D?w(W?UPM*E;RC<%Lz2zCRk{DGm5$
zL3e+&5nSx(2@bl^*1BKogia%vS!nxSXnFN+H28;Rqhm=Qec8M}8WsnKq5Lp(1wPkd
zHe2vxlr~d^x(~z85%#mwZoscip<jawscMJuEi^X(bhRP6;fw{}58=XTOM1C)ZL}${
zYN6L@R*x<C?PeEJ#vvBcX;tAfwM{4*K$R0T#cEh2rHT&gDj7Z?8Cqlo8fE~FZ%7ye
z@3!9#s}1Xj)#&b97me6vL;M_wwt`<AunNtv6Yxv}(Lmjr?<_*`@uOxN7q0l}am#E%
z%5c~QXE}DNdsj409j=yF^Xrfc;x;<r!t^Vr0|%aWs4uHlyY08DHn`m34oJWmNv*-P
zG@JcSh_Rq?Ed!*MZnQJ;CQ*fZC-7u6PU}sV-l4uo6pprF9|8c%W*Y$AXj8-V7CYvm
z1&G(JZnVzwy3w|_RrA~RYTar9e?T)10d}zFdkfG_K*Xt6TWxE>IR-PeXx!|Cel<>t
z);Yjbo9dlrt11`|fF%jwWV70y*}#$7Oi}<{FTmlClUjk*sr%JqO=PJp*0Gi!SXH?s
z;gVWdJ>mpT=(n-1YTXIU`381`Q8~l~!k&u8pfk7`0-rwiJ;=U^Wh3FZLHAHM+D-y<
z!RZIC3&;awgSFLR$Vc1eQSlR4bSp{~a1I`011V@aVfUIfPyTWs8gE&xD!^iaG{Wu*
zG&6=N<mxFDkI1mYuocYB&K^B_bf&cgU+eW|{PyB(-8wQ0IfL15bQYE%q(F&kXf<J{
zCWL|62<g+iE`AvxJKkQXC7QvMxS1WinGn9{9n3gZxImh*!)61T7!J*OkfM5MclT|K
zb^=c};g(J&o`U>p&;qXSo`|*tOI~OmtJ=<@-GKjre>XIIWc{(AX@a2L+5x!^0H|%`
zH~m>{_%*Wu$pG!nnr(sz!N5~_gP|l4Lg~Yu7Bn#qN-1<g7(A*6P5}4#H9RaCD~2;r
zRRo=RHQyGiId9cLR+peH+p<Ea?W`JXavZK&P19*q&3e6U5zTN{wBGWLbYb!kZKNs!
zWD?lR@#+pRd|0KoSrCf1LPNkVA!tfqg}Sv6bdQ4)Q&K&%3EhKasBJ;~fEf4%r%uv`
zFp)mHCfbsl;ZG0^V>0nWLt*k_e_)??yjvmf!Kz$p4@ZOSYK@a!zP|?^FgzqD4D_XB
z&LcYxq5&sp`oOX1!uTg>3#KXep3Z9z_!covNubL+?Da77K4dSrzuf>pts8(p9{vgO
z&lC9Pd-w;x74PEr<jI%0$fwN6oz3L>YZveIbkD{=cxwl_REr!(CTFF|sXG@>=8^q#
z5@kT<j%0q>i8je1K*n!V%>g5U3;<(FQ&7|Ke3Vh-6q*kh9z>=&?>B^0k*sGX5=HJ|
zrN&|2Dk*e^Qa>22c8FH;tYls6&6;Qg^l;7ZpqA}Mqcy+L0M>>+fGr-nlBJ&n#=E0?
x5Htx)RY0=>9|vFpXoEr>E6JlGnF!6O<JB6SI%q+E5hZ-2juwL{S2~(A{|^95L@xjU

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.structured_mixins.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.structured_mixins.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..59b292b3563bac5184dc2715b30ef6077653c387
GIT binary patch
literal 12097
zcmds7OKcri8Mb5l+SiWlI8D8AQf_Ih-l(xJZxxf4rl}}2!YNHbNKrJMJ9F+mGoCv$
z%p<X(jfzC2L^=yZ1{PExR3QXi01G69x&Sr^p-OC6lnNoisuT&>umS<!f6mO@nYj=9
zrmzT+9DC05Ki~g6|M_2>`|5{UQ}Ul!4SjC8dt16`x}M3xL@bz|5%-uICAX5(Urb&|
znxY=)*FrB243>x~j4-(6m;rN>D~VX4;gRKpTj~7ykQtHXx%qTH$7_84O48(YF&9~p
z!wOwu?NSuPMid9kY<$w%v)nMD!5BOHEZZX@h7EZsk(6QSyF|^`K}(eIHBr}c;`xlI
zr8Mt|S;ul&vJ<y;v8YE;V7222XQi{vSY}A)m^U0f4AF?c=Uly~{#r0&zyHzJjopBC
zXiO~TBfU#q318(K{3t)kXZR_x+xm3Kg0Qt4x=e4kjQ47O;MqVVY+byh1<d!t))RW9
zKOJ}-%V9wa1cxm}Xv;(ghRcpE`oIL;#By6<4wBZBAZ-O9PJGXWBXOHgi8;$P*<Jxw
zg*bl~PRQ>Cn)l)70sK6OpVM?&02WyCj7>4?>sFA6_xC(AcGyQ66OfUJ_o-Q%lT6~Z
zohZ>`{t(|RK=++Vq3bZ6<VI@;x@+(fdh#PfuQiCCzrRhu0|U3)@H!J68K_SK^}47-
z@bqq=`@Dd>c>KKQMmprUAvq<NZb;#3biAP9c)CfO5?&#TLfSprXN^lf@%j>HEZR~U
zu>N0Js;?>Mf%Q2hraSx|QihT8L9F>Gr1?%_NhV2P&6cuTnc*3E%(5EPLhuE~Nn9xK
z;t8-xnx#fl@z8Q75th@5cx(dA*c!HTGF)9=yED{f#F0q;V7O-Ca*TrZWS(LQeg!>R
zXu-ykk{8B^ona_7E!U4Djcljp>k;2>T=dBe>CR=S`IR%0Yuk-;?*5sECws!}#uJti
zotE0x1Tm{}OWk$7NUwM>QB&N{G&B3`YgY~O*E^hciTYm8*$#c3{OJPp9v<T=OGxQ<
zu}U{}CI1%;KB_Q9bV05%izxV<I5UY_WUx;*smz=gM>D4>mLO=G;Dn@7EECa^;qsdm
zT_^tnf1WsXz0WEBf;6X)pt?M5^{6L?$!m6`;hkmDzcP;W1tMM1y+GTKCi%<5NIot}
zCQsI55epm(aYcbm58tj@<yxf_Ip3hT_&wtn&zF$=AX}hSp<S)4kfA!zUIz4sqX8Au
zZlV_%PR#y3kb6}ctP>J0BE^qggslUHVtPBH0e_Wu{rR|E{lQ&-n(n$TrW=)|UM()g
ze~|e*v0O5GIe<rf=2Fz5?IC<Ea3Bp6*Tq6Mud>gZ#eGJ{3%DV$j_LIf_9WtnzmEVD
z4bi?212-oXDUm}WJ?OFsMlatELDc@X3Lz8m&;&MtEa(2VT6>3h^ajxS4S4jk9E|D9
zIV&z#&h@u3=X!mB{lo}b`nTEAIc_uXEtRGJHD>8z2ws4UztzW!zg<E~Zcqe?|K$(|
zN0d)@C<xA#GIjRa^wiWC0!N;mm4m3)1~5uhq%y8>;LLD-7hrxHV16$H6IK&JmUPXj
z!1m>Nmb$XTsE?9P*{$*C8A_-95GIu+Wu(&DkBr}7C}7zJgNiGAiuf0FcLuSEI_eNP
zqrURVFO4UxfP7Iq$B7#4aiFN#7bSQVTQCmi+YyQ7QiwJn7V~L$CK>s68KSG>AsS9}
zAkSAcBcp}mOXD{fE*$9wLxh8RMhM3&g{q^ZLv@zV{`JaQ6^2bN9%_?=<>PA-zsh#w
zpgy#G96az9*p@VWPJ^<-oGUt|L6Gr*_fEtjg-u?YQZq>@z!SCGa!34aUK0zQ*l}cx
z!euzm_$i{}!Zhe=6K7#{ri6-#4WtQ*S+?x9+T@SrmT~=Y<Opz2QGRawIYsYtsXnZW
z`Lw@p8v0Fq!~S(e2Ko+6tPWceIgNS8LKLVwg&@Ixla^8bq?RI9mbKqk_9-(T2__kK
zsK5YTdsBJs66)~a_U~w!4f_rJ8kd|9H5qIelg0}Lhim@{d-Q#79-}N_Wwz%#mSIK7
zO*!D29=Q0k5T@9_q{;p0gO_8Q3?dbioDz5VHI8Ig3R2uI=u#!0NM}X9$o@BRP>Q?#
zI{m36zAw+)DwRS`{lJu%KRhS)PL{}})?PRwMXg4^Wa9Ra88NPnJKnSBb+^%GjnHR?
z)v=hlwRp}nL-nmY*5{Gq?$EUXd5Lf!8`$UsUaz4yvaDp#pkzj#4E*0L-iKseL2}}@
zAen)X6gXZNi#WbxYL)9`mfpcbfb1_=nSNI~wR+WCd^)?MrY{8RqS%xl1Pg80Ta%o^
zKBJC)ntq*<ET-@<KSbLz_Xj9N_fi|yo<*Y%S*PP`FsQx3>3yYmv~q`SG$8?}8=IRA
z%40PmuMu%3WdX89sbfkZLz0k8-tq9Pq25-IF-uLihUuQ$Eo><UuEVK0A80S5_^Csq
zD9CcAVs9ij?0-P}rJc0@Np^sop?y)Id;!0J?z%YAX!iY<<QjDq)v@odlyty%9?K5N
zdOp`fD=Z#UUY63M$-m3Tu`0`#-BjhyZ+8{BrX+Xt&|+|{Jlqf`B5%Uwo1MLjg>4Q0
z4MmHtvvv;E^y!0;S{HMTKfZXYk|&TWln`AP4;)Uaa_9~_A*Hvt+d&Rv!~XaI=#t!g
z3}dkPc{$X662G$eD3yx7Dm^1TOS2a{k>xuK4=X+kr7FpelKNO~s#!7`Y2d*o!UGIF
z$H0h7m6STC)XRRlur0FI2i!_uA(9W}S4K-frZ3-==N_sr)K%Q3sxLM#QoT}!MO`M=
zMYTC+yi~~_SGE|f2*j#XXMQ9}9zC?EGxl{1mgb`pcn#B;pJ420#H7yTa1H3p09qq-
zX2`e?-@f?daEf=Z2*kfi)xo;;@&R0!P`5sq-nko1lU_~8KV>aG3+Tm@d{e4Z5--I;
zTpXHZ^~rDRsj1GtbF8H3{T1{VrF*nIjTVVaiT*6H7^+0nRorI063x=#Gu2TaWvXXq
z%FB(Wx}Y%Am^AjvQ@p!e2f>F`m>L!yjgC~99GU@z89-))!VDRA-(f@}2TmMnIFz8e
z)4@vcmSp^RCX^h^*d^_ABrF^DqlZ}atQtx|<pEbG`$0AIemT@`;#b+jHSNtpo0xxw
z;Yl<rltC6C`_2KC`t#I8l9<N8Ptv432DTq5>^tCXXY=qAilshs3es<2b$JppaEsiq
zKZ_aTw1E^SMVH8(2;K4QeK(E^0<xQo0)k$u`ys~tpKz_nl9xH$>!@ZUq?(Pi*h8g9
z@;lq%2IrvJ*9of)`}qkWQ~X*fP<{|5zoMu-%}J>o6;4^krl~x0`g~JL)`(jA)}w~Z
z<J8jD+qXbC3dryZS@@oJJyo7`6O7}}Nn1+=Q<Cb^woQIktl{>O)`M-TQYWP6(sV<y
zQvn|0)hw-PqQw_+rWs|-`5D~QQ5`i}_4E2Leum~wixnddsFF;}>&A{|EvkM@ETCd1
zf}2B`+*)4uhHE=z^2|ikKBGG^imLMW)72eO?=lw&wa5z+e84ZVFw%QIK9<xrxIVhO
z_*_gs<G{h!a^x8r)tgZ-wwt4ZEu`m<cRVjbfdZ<Y^3Ds>VwsBW+_<Ohp~k3}pk;;9
z2)<@`J*wpkvE+toVGffm+BGZUnhbtHGImTSq-AhB;wV+C1-Ra_tISC*91)9Lck<6U
zvBvf+V1-(VILrpki8+(C<1W@)q0AY*IbvO=_s~+00+c)u-N_BHqHev+H9UHmL=G*E
zI-3t~%H-_Ha;L_Ezza04yCzEJfHRQ_H!N1YIHIbL{wi~Fl|-DX^i-Cxe?gMEqShUp
zeX`t9nJkXc8A1TX0g)riIF=pV?Z$eS0dW(ro<~p}DeelG;RU8<GJ1c-HdJx9gIW^L
z?H~sYL@X2afvjWgp~y$9=yBv}{U&k5f>14+anILs!2__e0oNB6pt^+?T$L?A*A0pN
z{U$$TvFT|jH^Hc52(Z17X~mgRN{mRmYK4{((N)c~LcNVDnw-k{Od<FgaTJFMp#tjN
z8&Z=FlZ7|3cye8q;NUuipb&X3@P<}1!SW@Pk>;Ne(KXU4NRHcuAUakLIoGGA{_yuX
zvEnly#d{qFZ8Rigc)<1{@t~g6Lo|34`Qdh}b?w@<Eq_1ap1b7*-ImF&wlFemCE{+H
zAxXgu4JjBfDw6d!%-?+AJs$wFD?!JoY(p*mZBAy}M4pENSBpg*xebqc4z{RAdK+3~
zMm)K&AWlIhds?oZIr*9@^tmaHh5INB+|#(#<qm!zzq1Y{YQ)j7r$f;`7elW@0CkuA
zR-c;V8M=dJRBfIzIC5YH7_amVtdtO9_HOJWOHIYNvcfjC12-W(o?*Ei$UtToj+3bf
z<92!6G1hA{6S}&Oy~v?qwYv>unszmYXMIOQfiMb{s6h6Hm|^Z!s-_hS%0xgXAzm=@
z76d-h)GNQFcnuptTq0BmLljJ^oqYjDtkg=0KG}@bI{61B`KdG)!{@0{{cV2>dTW0J
z|AnGX&E#ijknGqA`Ms!kmHluqXOW|;r6mWsNluHA`_I{D<+D&R`-5`Y5N|-q4GJ{s
zvlI~Bsg;mdcsCZyMWK|4F5`VeYA}hvY9ZT`jZ>^Ewy1FsK?rfL?K!!e%b_PKjrr($
zX~lZBtDJPav_9NO5Ru=yySi4|GbI*b84WKcyO)S1!$a;>Wzr!b=hOCE5QUeLXQ10C
uID)l+WQ8!wYQx+>mYSFHW+}!?mTNe%3A^NVN#_<#vf-(@qtGI5Z~X_VuvG>C

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.data_readers.text_data.doctree b/docs/0.10.3/doctrees/dataprofiler.data_readers.text_data.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c7758ced8a782fa77cae8a91ef45f6fe41c6a363
GIT binary patch
literal 51851
zcmdU23y>T~dDiRhbSLQ~S+=k_%U;{Kyt1V`8*E|@%NEGSfQan)!6S-lJ-0h|Go#&|
z_0FuMGdQsmFm`GxJha$}9Y{fNuptJgND4w>-jxst7>J2^6iEmP0TK!dDk(y6RsO$U
z)6>)4JF|Ck-MPxA*`DtH|Ni=a^yBZIyGGt|*B921|B|gy$Mf4KrkzHk9X8ykpKNS|
z^<K+u$NiK2-FNrz>{pZVu5&yJd)>O*Pu4(=y5~0=UANso(oZHad+ax(X;ywLa_g}l
zwncGo#2fX-j`XYEcrp_EanqGvCF8faC*sPrPVDqC6Xe-|DUd~e^`<`I1ghGRjCLHL
z9rwNM$#_jL>#a{l8IOmO4Nbr8_7C;uoMgg@<E}r~i=l1Umi2xkLcYi9O(%*V5uQid
zPK!QmZ1g(mk2$A)wCm1eo?bE*I}7-#?``#_yv^R(-g<9WQlGgsa=X#Y(Wvb@b2IhJ
zYMpKv00Pm>4L8@iZYPXpuyHqb!+F2yc4vU$XofO6(|{L{oxGUFA5g$)Ky}kGKv2V!
z>23rqJ?G%M-ki548S&c<_k;u=Mb<kPTIQVx=v@H+UkLwS1pn{GRsv96pR}!-Z0I<C
zx1U_n3LCwq`{GIg^8MsuntN}N%--msxbO75OT4`jME944Xx??=Ue~S7b)9zI%b-Ml
zaFk|Jlsb#E2rRU<y-*3~3pEW;T??p=C*vSc&O+DecoMS7We37`?D*}dLL{X!A9gE|
za|{VM?M9^;It_eA9xB*_(KHp{ox_w&<@*32_Yx{xhrDx8gpIw6KwkqgxRL?pasWV2
zQ)|M_fw5Uxp&g9?WiT1Zuc2AE7F42Ar5)n8i*)nuezK>4>`wFA`&uEUT>%=n0c>Pl
z5)*FP)_@^|H?_zIBZ1N@<w<Vml~?_Crx({yTxuOB_GT+LbkJ5h&BGwOM=JX&hr+hI
zhqOz2_bNY%Nrp5>NXkW0rfdCr%-`=OqF4ofw-T<Lb~}t6#VRMG6h|(${AVhQqtJWJ
zVzQWwpJ+8_qmF|<Vq>T4f>k``_EAIwsAZm+%RgC}wm|BAR5`$HGsO+OBAR^e3B8fz
zc}0YYLs~3z7VzIO171xwfqd-+bO~3<7G#oiBKhsgrr*26dp)9mXNtb}24Ya4b>pOU
zYST7yG3D&130W53W@B+9vPk*ch-A#Hy+y~`X@oVj$SpT^yG;;%8UBT5NrQv}QMDHQ
z$h=%wh!;^4=`A!6H5K@+N<|$1Tza+}K4k8OWNo|e$l`#a@EG9zD3R{d3CPGwr`N8>
zy_{)SJIi^1r!3V^*{F8%R6oI}?o8HJl&T(;tMWd`{X?=PV-*E}n>%hBeQxap49cXA
zV1uBY$wppIq4Q0dj@h5WIM<zTge`FT{bXHd5r$8Y5HEJXq>T_YgE1+lINb#|1~Vtf
z!4P6`mJXEq$pr;01lq{OSz6~I?3<?nrGJ3F`J@10?P1Xchn4pH#L}KG=DHm_0IU86
zuUg=>9-NL+^)r^L<$<LHmG>VhPTmhQ2oVA@INpy7G#tjRI1>PYIg;fr*tT}f8ViHQ
zw!7KE#>a9Pan;ZXDbbkiLSw>?+jZiwD+yq-cAsE*pThFRR+f{sVNPR$Di)!tYT#!)
z8TH#_jw5-d4LEk-e9#{m%?+-xvjX;M-sv^t+A*iubF*wEJEC5v6L#ZT)N;D<?Y$7^
zQ}==72KxlJ3d)kWaA)*BXx5(so{w-*Oa=~hNQ0`9aoB+BC7MZoWSjXqYcoA<=Lfe!
zp{)8DEnu)<C!m!=P9Wc*<c%!UQd@U$3v)Of0y04I+MJrBEFO2-*_FCUHh>nbP6-WE
z?O-v7tI@0lZ?!Y3$CVMt!?6J&Q<U*tb_(U8phT7zhQF{gSrUf4jSoI)Cr}=RVrE_=
z3ua6IH9L=15F{UJCh#xA6Hx4&)u0&ky*C%^1_p!~v^bDoSQ!njfY+)!V;*FH%>f>+
zmU$THKPJ}Myl?PIm6L%^gE6S!DaoJNZ=4faC%`$cF~;(9$02@aZRG{lCK`OlxlpL6
z@3_oPKrh#ffJT<^jlp+J3g1Ci21>h)>y@gDjhmOrZ5+r!YIYmHX=hXqDI=h98;F+T
zHat58Nni_l&<%vhV7HNn!EDf8Z)eg5gQ9?XgJu`P5(e$0l~Jof8^}XBgZ8kUlOYTm
zWl+IWk`Kk84bJ#(7%{WOGq!vql{w<zf<NqOz)ZfMOyI&xIER}L{mfEOGFobC>iy6g
zO*YQ=noY7!;hn_!X~Wxv^bf8DejKzoWL891$?C9BF7Frd72c}1UpTm{Uh2SR%WQ?t
zd1r4k&ynXKBi;JIBG<xT|2Ag3b|z!2mQ+8}ByTGCiqfCylsCCzc*3wlFxK>8Ey`(1
zbH3o)NQ}-?Eep)~)}*|{JbWtnXNBjinT1Uove-eFBVf&7FI_Xp^e@iBzJt|F1>b~!
zY+DA&C|TmD7hR>0ruo5-pzd_0FIGf0L5=Q-PSdaZasNJ&;keUn!=tn)68s$&PS-rV
zlbLmbasblxl3mFvSWHHJA!6B^lk`^ErNj2XK2ES^J@g?_vEWPCom9(G9lC_C&$1n<
zIK&MpS8PY=_M%Fa5o4iX99fwP#_%7q(OGmaYPIx<7T_yi(e`8CY5I4#WJg-s`QzJt
zXtyFaj&PF^R|YG$T=&{r#LnOF6{OIgNul3a7W&`}EOE}k_0VtH);)Z{X;<dlO4M=d
z{=DxtDszhy9oPiNZA{oqYq_nkyGRyfDzMji%y%jd+1ae%R@F4ys){PG{)PLZWb@Ob
z08F%;#fsC6!fgFLQgsZO*yy{`fWZ}1#}@aeCvFUZ{9M!JmCuS*m-ns)Zc|&HtPXxb
zHl8=EV2xx2YdqP)ykc#x8P<<VzA-t%`+Fbh@#;hc{zKKN!7h5siT4rRnXSP3^PWoG
z3;jBd4bG2YhxdGvH*#7X*ix^7tkrOxlNa#Y@dVx6gyrE=Ohu?9@zYlTY&OrzMs~pq
z5Z+x}87H!srMCPb360rG4|Yo{k=ul!8>l742vzd9=hwXo*!ivtd&+dbd!i0%9JZT_
zsB2(_Qgudq6iukm%>ux^_R$EmU9Qh*AOY0Pv;t<__#Amf^C)^JxDFAY3Jwe_*AUJl
z8_e-!0*qs`0dkkwdZfE1B#4Q;m*hQt#fqvMd=ocvlNWJt<s{J-B56m;G$c4oTmM@8
zhYrzkEkZP6E^I93IEB}n=3sp9#^y$jWAke;>}}<Xr(%4yvU6Fff=chM?A=Rz21+hU
z7{)t*w4%pAKMEoa{zdFoV3@)rHziO!Y%fS8liVgK8+7N=vnbwG7{vrfuuKW+{d<F7
z!Ptw8SA%D86o%8E;I}Etcfdb@?#^UgrJCA)(rfri9xA1C4=Nqd$ZfolZmZ)tksry;
zBx|UwY2-QEoIg~m&rTDRo!;Pn%I-<Rt~sl`T0v(Rn!!BT|IF^|1rI{S!5_dMEn2vl
z83?G>?jD5H&Sa$WuXmkPc85s~8ANv`7ve}{uv7`?iWXq}%G3r8*QbKx1JFge=|LW-
zyi2kM$KW46BW6;Os?tqpeJj-#?7;cp`-q2(h$@j68TA1-NHvSh2EmX=F$4~xHvr#2
zRFdc%oi_)+BawvwCLqI&5d9(GB7*!?WVz6o-z))KU%o`zt<@KNC6iJ0C3ryQdNK<O
z=U+|Ew&eQ?39}+#S23OW9%0#>Ro0o{G005JhcW@y>C6uxuNg6-GXk!h&g9TC=!_=c
zi-s2;0cWy=O3=G19Whw9zA&H{O6t}Xd^}pk2?$Xto+8g?s7?{QXb-~jPBp7OV&8z7
zYVliOMU?2A4O!_n%ad6oxDq`V>M}STd{tbDHelnq>d+rqu3w;3XXaW`m`e$J=Bz_2
z%oR|v86Bc90-Bt{<d88aj3(a&MMOgYmlVnlN}y62tOU;)fNV|)tW^db)WWHtRY0|l
z(yTbB9I$W|yqadcnPd%K1OH?_Ts8PDDJ>bhiOgigFj)K+fD-*#EG3C-415d=i7{}{
zl<4NXt!=Y2VK1kG-!H=ktl>=sZ!XYh3|(Zm6uS2A{S9a?+FG`9=<Q-L%R_}-dxw*k
zq8+TE9jsLGanL~pu{bFXTtMjc3(J(GM<A%>l}{4n+jN^EW1h<slG8XJa&2hGy|;=y
z<DzNY8cHcyLHv|e0;=90d+*Gw#q$jwh;0o%F3Kj4uJE{L87vY3eN=!YCMH!J$IYsv
z^e06lnY`t<R5jC?r<GF0+=pdznb5HBIDok%P6Ii%=^gJvh+CJsF!(aEtY9;G5iVI>
zB%}xe_*qI;ihf$Sxr2zOHX!&2R7y7hgU{lW^>gqiBa6Z3A*EP2D(v~448DNbb^3$I
z!3N;!l47#;^4AP_*q;7-XdM@7<_=89rqHo|5we2-@Csl_PY6KT2Xy<DgbI%fv!`yp
zvWVhf#|XeX1{<`*!Ud<}PZA+7{T^$F^oSRRR(druwqrJZsrLNk>cU`2vkvwj$I6Rf
z)%TUM>MGsr2^-0{Cy%dmE17Q!F$flSbe3>O`Le_-rG|E#BU};oBu&ZMljno%$m4#q
z`IPO+v?#S|kxqU1HZ7juqVg}Y*u6xcpxe{5d-N2+U_Vx)xP$euF2nn7WEK`;)Ig#e
zthD7-Jbk~VR8t!iRH4%4_X8He<?diLsw?pdm#}WodxibnOC)E~$qMYUlieuX`K;h>
zl-TbzXAm+M97SSNfnT`m5nc=jxEM>&aDaKiuvyb3r^VX`l?X9S1x9jOa8QpL^{med
z&IEeFUHIoL{Bt+{d9HYxf+vlCVhrQ?xnbuV*ZENmb^v;CB&iF#1m)%(ye;6MW=lD!
z3{kUpdTgb8C#4;OT+>eBnv{aW`=y6KGRpg<2Sll4Rbrevr7d|R!6PZD!ZeVTj`xek
zmv=`gaKWQkjpB|r%!Of-`=im>3i+9({!uG+lS9(cP3=qYHmG#@9g<00xi?yMqC;F!
zpLM_>S9IyMcpA0^&ZkljTd)o0&-t*O2wVC-?1<egZ03#pItkwI<qHZ437$gcrh=~(
z7835dPGSk_x}FpbEabX49^kr!NT;Gz)OGz3h*H<}BYYyRi#(ZJ7iD-Uu4{iB9(CIg
zIab|W(r>{zXD@7k*SeyV*W&cd4(pMX?y%A(4DwY|!dLM!0Q26f<sgF83UB0jxDKQV
zLbi$R-7so%SN5sE8c{Y`Z8*P23~<*~SumApC4^5yAPhZ7TO6E*jVFD^Z%Uv6N|}fT
zX^B0*CP-gqyW;`@sm>M3&Pd)<k{1P&^{~8>J)}(u6<ZlR7Z@lK<FyMJ)dP~+s^FJk
zdY0b}ZqI1~xnu*D=UA^0xAKgzy1I3*bcQo|3$t1zI#0}N)MU|5!7FLgUtYMYxJ&pI
zaztIib*!)rYH2pZ+ag*BW;%sgatWi<lIrF%H6TeH!fp6O90GYVIRwh?QXIm|U@Qos
zj&-lJL!dz&L%Ib{)#w)3GQDNZ>J>u7cx6@T#u}KP?cwpfrt4?WG>gG!)l1j7Hj}o|
zrio>)Y@(1gVxkud3mP|7xNP4OrB=Ri<`}~*Unp*p8%y87j11-x8%07EqkBbbb#~M4
z#!{q$H)Az~htxq#m+N@qaI4bs{>f~4_CCGoV_dxFzFJDjw(?!pRvM0GJ_v;XROv*p
z2rySKHVOXRPC$QvjuFrt&BQnITv$5RFSgXwpeN{L&1TtWl$y)~X_H^fhVM}t#a!Yi
z2!IMj{Q*G=Mb<LQPMa$zTmli?PpXv!<rJOg{dYTb`i6X$GFM1wer_kA7aB%DBQ*HN
zAT&!o&pSSrty<|*>5yVUDbim9kw58$BLIvD9RUWix@bPrd$yffJ*<p?X0S<)+h)zl
z#dZqi;mDuqEdz!5T<<<Rqc$iMU9?KOK^RM%>%G;=sP$a0T_J#na_4#%?3@g7u9q^X
z;3>&S-nI?Si*qWS`wh+kBOs<|(juNlur*71_gEV*8{~p|PB|#%E`Aq?+lKWFr-03%
zbj?qJ3pxPAshmNH@f4aU3~*TSGkL)=n@V+=ztAop%IB}oXIojfbbD^ahdA+OvjW%X
z>W+*S$trAV@ED5QRPceqQpYBQs}Ji(SQ7#3n{uIr)xn{U@`)c7JuD{)NXfkCQ)Tev
zhk%~ILc7>N{var#CI&LNUBkQeV8Zjo7~OKZ2hJnFaWwaYgG<y6I?m5VPD=xO)_N%=
z+xTx6ZoC{H{4kWtAK7^tQeo7gJF<hXGJ`F}z-Esiq=R<tApNIGW#-`(E^V;G20tdu
znX}3ky3_%kpFzcDY{+m-0F#TI&f#K+oz~<#H+Mis5e(7M$-t~&Ra6S8Z@^_A*_TnP
zG8H^E08s>=9m@GC$!b58Q{}PX>A``RU-%4%GV#m}y@yCA@#1WN{j9+5jae}?i-WmG
z`B{Mrp)P~8<E!G*KJcu-)k<|{t|fVYF=5Y~RhIW)1Tq&rT(ckYn$aQhE}+TDdkz_c
zyle99G)O}#=B6AV-D-V<rThE=_~oSAS|vXb@Z|zJ!(!Ia!>FsTiW>400Ux94wOl6x
z-Uv;X#n&uE2m(71a5okj;1H!tYM$#y^sK6rj*IZ9DqNn;m#1u5(oVPKf{uSjnYNH)
z1#d6V@vMum&CA?Ho7muyhUU}7$V{4OIT^crxJ>hSS3Qn}ig#7%Y0>8kGc~LcN+?eQ
z%+TjZ_gJNu^!TR-=L=YmBXp&D+-?=vK@vXP<p)XZg;=;WpO1*1%<t7uyKdR58G+`|
zy_)~SC$d*Vo(y|6Y(rz%n6s<9E*?rRy-OqZXI@Zh+n!Qe!tTsnVt0lyt{lOa_GDnI
zhJO)Y8NMlC+;4|Fr4T`GBKgm(Q8<0vX20#56x&4E<j+=mOasS4*+_Yo@2yWSST1!*
zeY!D|yIp~eVRPx(UcN;1lx{1^ut{?f6v{3Pn>T4*WGA3s4P^v0OPu&d9#u%2G}=q(
zl^G&#%H6=e;Gx`daD!5_+2YIoMh<3BHf>Tu#g^g@=1?^+x6j#`)uYM?<RQ^)VRh^T
zq?OcyXb>910%2Zk|2;dOHXs!Ls9$WiOCl`T6ulMrAuFTS#rA<blv`|n%+ARWi|v#_
z1y4yt<i++2fI8TY)ZURm7Rd*u7pJqY>(H6Hr04^0#P}O)3k^o?GnBDHn}|=@3FxJc
z5zrVld}A<b%W|RokCghKb<_6!9JXfD_KclbJ+_QM-n8j1mESaxg?q_x<S&&s?<AIi
z;v74pC85w*`8{?5k_s=smCplVw({55`LqHdDYTiuuMbZ^F?)J9V%Pl=Zp5`RYIP$6
zc_`;bj@vmI!i`V{6+9&ww7QW~6p!*&Yby<|B!NOj$H(uo6VQt`BcO35_{QK$mKu-p
zmrB)3Hk)M!$dBh>HG7f2wKJ=Sl@ZW*5luYG*X<M}xh-fr%fzGPp)lLFAJ`eSL80iP
z-nQ9=v4m|~vneaPSpl=!wt+m9vu&r@IT^yXQ3e$}B^k-vw!wKZ9wl9A3C_oX6Ru(?
z@hIZnMosXdE~@`BYvbk31Cw9}&xa@n@{)gftxQn=UZ7thBt?fnie0b?P+9(vl&#8|
zo(Souoj^kRx3GaMbV&Xx3pvzd_f2Fuj@-P7OOxytYjRM`skGhWWQqirSc`D~5+%fP
zPw*P-*Qwyv!rcq|GI*|e6)oWr+;3tH1P`2^o4Dx~5B7@SlK}8h0}@N)o`CC8;eyi%
zM0|$t8smq8;TzCR_$q2t@nd>e4{t=JcQnd*MQ5Cfs?%PZr@huF+iO7`OVHcJQ$(JH
zK$sI{IOUs3JuI|~nXqLGgjtr$ZnHr#x#iSi%d960gCg%n-3X=f0WxoaRFG|5fDFFM
zjQ*6NOsN2wN0iF4?pXE%Qoz8&ggJ9o*=3Xpka<5;Y{rHJ3<zLy0RuT)3;_e0e5ddR
zTa{YswM@Y>$pCbvaDw|tR(r6_O1Z)IyTGd~wr24$O8^h3`3`BfRy**OOhz3KWwk@S
zs+K9bnk+0e*-8H&g@m~!lFs~`ux!pM>rC(jWG)(H^9#spMvUl;fGejnIkXHqqsg~~
z%V!0gOT58W<!Z2QeQQ83l+>+f{RZ3V%~|O-%ad6oxDs6qbs1a?zACOn1EbOoDAk#{
zmK0_`Vb7d(Xoa~BDmJ4-6h=UkQ<xkw28Ge&D|97osv3o|!%$zPG*}5P8h~t039MD}
zc(r>9s1^&2!GU1G(3mdCIyj75+*r$_I%#lJr0oCRS4t9DyxKijXu!BtnuXA5Fylj+
zd#9J!K3Ikm5_|MOfo@{}Bgdrxw)ZfLJ>oNrQn5#Tf-C^k#2!5XoeZDDBR6j7&WYoD
z8hi9PXc&z>B2T9#_UI}yKOg#<tIM!BTziE9`dxa3E5;<d-Dn!)Qt4Op#L@z0HpU$#
z?_KGEHI#i4R%1E4zC~&7@ON4LQ(?8?i*0!F{9B^bszNk9bv|%6{Kuk&x)2|GAXkb`
z@LyOB_GW4jf~O#D`4`s|kpQ2AXT2B$WQpf#)+FuHnq+S`vp853MX_F!O%z@=*ti86
zI2DZIKZQQ0fsEn3fB#63A&jkOg>CDX=tEibC2xmlT?St1rVQ)7f4hJvwSnj06N$eh
zPX-&v7zSEH-}`p}5oO;7D|vg8bnD-hSW78$$Vi&4;s;iPRTQllWE@Y=7)McTcpG_T
zVd0i-<mIANvI_A{P30y@YI*Q$CQTRvGMT?#G`qavOd$(ihSiXsPOnwb#45s)#a1Z{
z3PXXF5$dg0e&hu?ednc|NG5z5DqVgPt`}Tp$yb{Y5zBrV1Amaq*&(?c_F+Kbd9?3@
z%mue2iK!qg+|AqpU5X{>RZUI7rg?fSIUwFDa6m##Q{gD;fbIdJ)B(L2pNIn@PbLRM
z8D5G5x{jQ2b=&o@fnTW`dPH9C;@J#QvlCkJH(M(0803c1n>>|*!#kpPGdblGMzgfa
zw(Omv)XKkjR)LCOoVubd%4>Q?OGy=`fw-f`MdQo6qZGK{Ls-pnxT8;4`7ya89Ve;9
z2_Aq-m){+k1eiOdRj07TB|XSGV312XgSjLWxe7O#!YLWv3fT+3g=D6JZxrrs?w0-t
zOHjA;b-}7x(IvOUTLx}Ph-)e&McvX*fGBlKKgB2FmdKOIEm4M-;+76Bz$aSg@Djn=
zg4>30gE;ICe^70IsriwHwAn>{cty>V<{&JCE`Gffp035&y0$fg992immo&wzv|l3s
z4wroDf!s%XJ@2K%x3>MTeYgV=AWk%054-O4Jbv|j8o7BHKJBUC(S##=$Q`!yFAchr
zzf`qDLzquBwC{wT5gR`-2`Xb;e6X+8jEb_!D(>C%D#NWxe^D6IgCpAaRq33_L|Osw
z0y!y*{CNUBop&_^`tE{4u!<sun41s6&DaU(!!Q{EO`tEnktIcHcluQmCHw=XnB-ly
z<<}`SnJu)uuVy*;Mraf}>h%%=ph8g}W=f&RdI8-a18*xlOINKX+7cruQ?&`sL?qD0
zWFsiASso*i?~HL#u`<(dFL#$nl!|psKoFEA+Z=0sx1C$PWHSPJP)3L$Rsea6orKi2
z1!a^`S$;6yW9PIa7*iI1q(Jnzop5=Gth9#&ZrvVni7-B94bf-qEhq_{?&Q~3?G(ym
zROaMYUZu=2`~PNV)CxuFjjU+@YzZXtTB~eklflfItyvePnE3)|FD;Nf2e=iF9d>T5
zkQc+_JUfMFACI+W0leJKs|}5TE}CB^sq?&P;b092=<+WGoNb#Th%kOS5};dpOiu>Q
zvQNL>jVoltSrJn|G0E1y6y`6u72%!=ZnmQ?NeG`~uS4$W9Q#IAxZvL7dZGX6xF<zl
znqym{F9IM*XV^#aiOjIclWB%c*<H#Ed!OH)4@<81iZ6Y_H(SbuU?4H$B$`eXyh6bZ
zv?8)znl1uv5UDUSr$2;95DWT7t324JgLjFtD?hM-;xKqoQvXHclcJ@pNAl)4J!+T*
z_#vfec^9?BOFxkJ><rR8&i<gCS-nkW1oDt*j)Q;PPCzn01xMK>F8#;@VRlYW+WE8r
zk+pET`6C7erMeTm9cd|&nF-??<JVMVCF^^39wjX04GtaQl;z;{Q0el!#5CT9=pkPe
zU-1EE%xVxXeJ6uk@1;#&OOlqHc?GcKEV?{JUUG+~??%&aaE@-{9&rqxh({z(29L-r
z*3fsMHQn|Cd{1uZ{m*iDp;2l}aER%-NnX|PTZk0^SY81$+iqFI&K9Ls{<%hu5ivjM
zuwj&^(@jJEGi!flL_2lsnf9SWicv6))hOmKU0;L<cimT$_gQJ1jINGqs)50Cpwi{H
zeK~>T)^Ek%TgQcf4*t(#kZbLqeAxIhwi$?rT4@!Pa9$iehC{}c<DOslDsWmB?+A1o
zVh%GzNg<NK>yW>x;5CIMgH3Q&k&+TWbW7R~`8(&A?W{tx42=AYt&fFvF^x8yv6W(H
z&(KN--$*gM6&;=!GJp)+S%!IXyx|TgF=$rHjyGT<<q&0b+_J$zkN;}8P#^f1FHkEx
z-oSg6N2{b}NmoA$?&T^eFo$VxwqTW>fVBqqz7M#hQ|w3Zi3}*n)2SIy?B^%p%Z(`H
z8TRF+cCE#A?4yU`zJpr77y9N)>!6FIeNfvZdz)C%5p^l^?1J~Ye;NRmiDm~Bc9;2t
zD4V=*MQyFe`Ew-#CdIGoF9?Ej=CkTb{Z~Y5OV7B!p%l%6EURk4Ic7SwFSaLvyceBu
z|EHZ<{X~-y$j`Xx1wX<>k`<o+wNsF$i3Q;(bBj<O3iF(M^LCqZcs3}qMo;cyd0?Ju
zQ1B#zg2I`W3_c2J%Rl_f+YUbdTSZz-1|A<{f}|Y)dIcuHyaI4n8vF}SfUf{Kq5kTH
z_(c2_d9wPew4==q)pMwE_THe#2H`Du47_?WLOxfjJ1B^+DPIQ!U*t*U%iEmy@>TDu
zWE?H&Ui58HJsVZfL~=b(-|;R2?b&^V>>*5eQ{H;U?jBg5UuPS>B%@K->(<@Aw+E$f
zZ8BN!b-QjmuCeq($!4C?gs=7V4<#F6ppLiKMEzuYBdqsgzZpTiQrM2&cB7w+zS?Q_
zT<PP^TMs4UVpjsnk3&1$D0W&M__2wSsX^UG;pYVV+3Pmp*OoY}LquEsD82=9BfwX8
zv7ekaABHh}XTg<T9$cGjiQIbJ?zL(s=EH8Q4=IyylELrP>S3z|MI)$kil(?tm!#D2
zqN5t=IA9qlvI0#fg3Ed!VKdyw6L#ZT(>>-k`v=!06Q0u)KSz@7aF-8Y6+3Y+;+aO0
zk%l|hTY%z|$DM8)u!0<L*s=vF<8c=*_`yc??@cD@b?iJY5<W)Vi|6-Vxi|6``pMbZ
zmo>NB4ZAfDg2dneC*X{%*5iJ%HSEQmUR+CS86mawlU>RirHY^n(wI!rdh?~v&c09z
zC)=<M5dh_}ON;u+mZsBQ=s626Al`8M$vU^)Pj+-&h-hon8g2*V1IYLU*wK2}o`+@v
zB7URR>ALg&30T}oCY@d!*3zV8oex5_rO|73YC`Y;Sd!p_%yrvN6MJeaNda`*5q5u?
z)QQ|)Bdnchp-63WPjo^E_>)T#DXGV`V}9gA%p}%TYxt2f*TjY}F2}e+czcq~&=|bH
z$%!Fs53+Az*=iW&8ugF#lbs~Q+HXg07xO^hU~LWP@=aamxcCVox*fF&BnOw$Knq%a
z+<)bo@Ba5lGTCuEHGsthZG;=4fXrr0A>oRs9!bTE<4!a?Gjsg-@#)TD?1k;=u)8qR
zaF5ME&S<8eoPi|>D^Q{qyDhj~Du#~P2<dw-y!3KFcCtHPSIA&WO6F`%CJsYTbl;8V
z2^lYLHG#x<?971{HDa%SaAUFyWU>Wk#h7{u_G?iGq`rS&vMpL{$IgkG=P!6o_#fnV
zLo;lHxNnYH4k+5~J<#h2fZ9QR)1S3wSa%q-yXu|;Dg+%*^$og`KnSIe_Budf5{y#p
z$IyAy4%`RQ6V`FTHZ=^Vp{a;^bJ={`+}51i09{=KTAu61P}>=GSc*7Wb6bwztT~NF
z*Cm$W-ekSoKGuhELb8#X2+&CoFTdUJLEz&Wy?u@d!*(D9;u3?U1W{<X^HKj!Fk+e1
zHUxQ+WT<Uk{D7|`%=-<JK8A_(Id~O%kypT<C>h6O{L~6&A}<a_-g$TStK>cSldHV(
zWRzWnce2mF6ba)$T)-2q`6@EJk%vdgh#$2=kXW3x{uR)I%h>K;nX?P{7&Z<=ps_G(
zgW>fNZ$9|Q27u_}_@@frk`Jcw&)e|N1Ni5c_-74V6iB`rNj|JeF6$##8j_R6<ZO0;
z2h;*QPDjoL1bBXcga(knJ+dQ0wrj}xV1R3gWT+V6aI%+dk=20o;g-4&jsk@M`jw`j
zwd47yu*fMiAJ`L6o7P;|6q-e{o~|T{+~b)V$2nC}=(J4z;JCUmddf4@y4agF$pqNq
zde}ot+fO#t!)6o28`=Q=c<ca6KMBJ3rv6P}O*&2&tSiWJ1a5#56ec;7yh$Vz#o6Sy
Y>&;#REMd5S26Uo<UV|A}+OO094;Rv1*Z=?k

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.doctree b/docs/0.10.3/doctrees/dataprofiler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..35ed58544afe78c58b4f318474e9ae8f5594c4b9
GIT binary patch
literal 5979
zcmc&&%Wot{8TVtJ_SjzUD}-H#Nur3cvi1bT0Tu<25+T4ayRZa=(9+a&*G%=er@PZ#
z?MFmVI3!x5x<qLN9QXqg#NQDiB$NZ<&V`2%M@}e$-&fT={qTBOF2vG|r>egCzWUye
zH<~}Y`^1v|Q(JK;T>oUBIgTGVJWf@|3G8IfeVM+K?*1fwJsqfS#E#=2iEN&#B|zB1
z^_+<N>HSn~61a4|ct5+}j=3$}z+YS!P0<qV`{_V*Ra3gs<E10jdzncVM#04Oc$5+x
zz#8A?Cq%z?`ev%%1B6#pD`a?qOvSe9T8k%(Rn^K~I#LbK^?5o<#!Rg-DI<5BNN`9T
zt-4N3uW#EPi(_o!chhHc^Q+?|VX+u9`!M1Yf=N_cvMC*<VoTf*J#ka4iXHX!;VUtZ
z;^ATJb2c8@pR&Nw404EvckWpc4}*9}eBRCY9OA+8&^&bLlmxIJ#bD{FgOy|~){XQF
z@m<O{RQnr&lX!Tnme=)ST}bHDc-{-<c_Z-@2|;`UoQtO+;Aio94xdlrvkR`o^O~DI
z11@gi0WCbB3rz>}Fi3o-q%osRu>?^Bwv2dLo7ve#gv1TiD{~9^Lxqv6r9K#`C(DQX
zw1DiG1Ieaur6YB%a_q4&hsl_u>y@M2oXpwP${8smlIG-z%E=M)Tx<jyC09Myx4p#S
zWSFG;f%vAlCteZX72o5kGiN6b52Z*C8ZaUjYKw=-O}${8o~f2_9S06_rZzG(i;a$-
z%*Q<9PI|DU*0evwf$yCHb`5@32!zz~lGxGe=s=ras_Rf~Wg6H!j#wDNeOO(sU%<VR
zT44s_i@6nL%6hrBzF2u;B<?^CBUP1~6Ixy{ox1*1YpJS=$e&s|JUm2$F_#jz9;T%u
zD3)T#TPYXcC)vLyek6V@-r(Z?K|}mtB&;*>!!yCo#Q0!I*k{5qW}M4w8+^~}@)GXj
z$fv7Xl0{Qq#J}7F7Y?MZ%(egRmF)+@ulbc~x-kIL2c*fLB22vczlMnkXEKSnHIA5X
zi%O&zT9)g((z5o$)7unI;79(nA58j{N5Pesa~pv2m+&Uv;V0+)`69JfTvRne=0>Ty
zYWV+rjn><uHIgYKc7Kr*{pi@%5v+?e!KQEzQDRv=c^5IAO?iJ3L=_(P^N9Kgh$6=R
z22B3?@nh_}ADt|6Z9pc!d`y3@D!vuNx{$fmv+!Cg=G+<V_6M%tH<nNl;%-_C)%lh5
zq4r_Y6HK##`ok`%DK8tAP-Ni5ie02$@`n<Px{@Ow(4$@)1wP-^N*n-VPv4{3hEjH3
z&xoelC_BkQ>9yTL(JjdDj~6R?pw{uWy$}Tn(E)ZmS63E#&C5|)bx-Er?KosqOm%Pt
zg~JioIrtBt@`0hEUi-g?iv3)Ws6QxAEUB)RUR`vZ0*;Ec>#EqO3heKX5?F@>W~9|2
zGUo*){w)4Nk>qcMRK#ENr(M=hBj28L$s^B2*;G<*cVP?0pK}XZTzCX9*^O2p*_&18
zzCoDtAYm32u4molrKO7*SIhpnBt2`>l^e5F{L^yZ*31$007;!HlJawxU(CtlSC#h1
z{|oKlJnfHFXe0NzzOI@}!fcRF<uuKrO7{6jlZ7xREb*j;0xRLwC%}D^kP0#@p0h~4
zngmp#pF!`l-SW%$BKOvlY-T32WeqMqJeTxKg>G(A|2k(<CH(K}JdPFt3P{x&*=aDQ
zS{|iH372Y_$cG-K981tfXvasWQ=LiTdD?))Kgg1Qk75oMtP}F@$VRlbO^mVwUzU5W
zb2UeuZxYcx!?VU^aKmv+te_qlsFm;(fo78UrYoy4;RJK$`ss`Tm1=`gc^dL`Hm0R^
z%+k8;2c~!+{fOUcE2r{u$3*aguxcCG#6?Y1-YT^nYtTg2MCENq2~Ab9i~6c2aaQhQ
z2;r*nKaCKL)Wwa@qE{5Rh@)k-X(thNmDZw%?BzSAm(;<|6s>A|(fLjytvx4It?!VH
z$A!OcjZ}Ba{mhNAfU)pcvU!MxX5Emnfcp^3wQQM09#$JD?k(y)=@fl=lR5*a^714I
zqz^wS9Ud&J4Qjj5T39EjY33<*HmM{GEwpgd&Bs7_!|b4K(mU3%D}|MJz@V62$Xeo&
z>X~NA^7s+=(t{PXCK&uUTQ=1;KS2cwZe$V{yG@6WlPSn;9<#_t*#HQ%adYf+WrVy(
zOr;Ohrt61^w772v4xm!iP2^<nvwPa_ZdMO19z{W93FbRACV=9=8(dOt1&OR;X=*H~
z+Nqt?P|SWsCcbI#7H`OJ->e?gE~`t#LkvL)h{)5qe8Xe@G(k}bi95*cD`@}Jm5AFx
z<XGqxIqGiTre1fXT5$IX!V4tgI+zup$vmNmvB?q{SjCoFabZ*&PBITsb7kEU1gke(
zM2yI19wFS)JCLp)llqITFy@I9Sg1Jwb%~!~62Z|p6gRb%*a*&U>{6xyF3WLaHui{-
z?3L}@A;c}!12ZvPfMqT3Mh0f(jk3B<zd!_)4Z%RegbjU=T1SJsSi(fN$*W*F{uGAj
zxpP;hUt9XqKbvYZ<RN<h3HoH;)*|cC&Y0o#<Q}RoqzvQR!{PDqF*+bA0)Ib<rbCAx
z4FMSsQG?PA{S@4=B%ec3QWsr3+<WeY&p@)9(ZsHip`C)v&76!30*ts^E+?9dkaG_t
zx{{6IMGnmYI%)?tIky(>xp=;1s=YIHDL(ZjJF$d26&^mY--Z{E>GyQ{v$Fj60BNyE
zhv=?tW@Zp-#}=r0Y^cxp8>Fm72<XEk#0Y`LaeAhZ#Q_W;u;cm@*gzf_E>oz8lW`U9
z631A=fv=u|mf+}r&(t;B3)rE>ks~|{Wi+Z)8kRj!tK2`L$(rhz5CNZrc_BNvFnDR1
z23k+mwm}HyA~6JjDWDXf0i3#A*`*w*w}EZ4ShUD3Fs1`|n>Nkw!R#20JCpPk(3gj=
zM0E**a+RL%X_%2dA0^`H*VBQ%AbJ`aDeG;a#QWldL~WGSrD<*0E&>`o7WB;yd1Ve~
zm@4lWI1CV>-uXE278amEuhupf(A^5gZcbHSx?I7J02@h)=-2AFvJ=da5HoBH>R=eD
zTDJqwgBrjC@<#imZ2uid^3C*HuzHli@FU1PMz}Hr7onrPjS1jpd>X@b^4%h_WkX%@
zUag(Hu0Hn_r~xIpf7my6(0|611C?>fGkrJiBaQVJZsP3M%Gs3_Du^#m-;}f8MdAE!
zvVcdxsb-e3mQ_QSGpg~`(U<Q~7BNF@@$+m}e6UPq)rSV3T3-l7oA-J)$)jl(&5PF@
NitSk#H09j>e*nRT=okP1

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.dp_logging.doctree b/docs/0.10.3/doctrees/dataprofiler.dp_logging.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..fb9c1e84bc1f7340ff9a8289d956c12c549e388b
GIT binary patch
literal 11370
zcmd5?>yIQ=6`xnnOwVf{z(U-er4d(pb*3AT5VLLq>n@sga2AJMh#{M@y6Se{s;#an
z>#;kN2m(UfjaQ6r`APi%7z8mf{sVs07{Nb4LW0IWz-ajH@7!C@p6Q;Mjf9<~r@L<5
z$2q@y&bjBDdtR*lTw58Ff8s#sbIaXq>89y=CJPfWYkEf9XKs|-OisR(JfAd0J<zX(
zUK|)K5o73KaLX|R<|daDu|(Y?%L!ZQ_?eIyk>$Dha9-oneCBe}<aJSttjJ-dS7Pp*
z-+0pN^(?oSP%m_vy2v(Z^~$?f6G;muyF*O-I#!Poen`}{oLoLBrc)}{#gt>YELo2`
zx|q|WD6l$l1n!8NNy`k0@)^U?!w`-5U32xm`Za6De(})JjVl4`QlD7NM0$^2CHw$C
z$`|-CKFOEGv+YYE3&Qr5&}Dk3Z9Js;foB7QuzlfaEnvPEw$JI2{#4*~Er$hd5FEA@
zp=}c{&|SW0nZD*IBw9fT?vAfb#2r2+YL;uV%@Sw|Pkt}B;r9Wu`|&w}&ja|JB+dX%
zU`c+OV#?R8AQAWWJu`OLR~kc>OvG{3V|7>uKD{0#dd$DbS4-@_uwVAOOpoG#X`MiK
z4PHT@T|&U$Iz>Q%54YFwx<knZO5;GOF6s~py%*>{FCit?E<rY}XsgkUT_bGhj^kaU
z8FeROflhKtlc%sZ9CnpC?W-*4cp(kCW<}7BhUqsPtJ6~QdF1~)XCc>Tf$AA0RO|dW
ziSE!HrcHPZvUfXxpUDC?p{49artm|_uL|gNhz)^J5D)fPBsG8q&6ABLfL9VZZ0}Dd
z;<H19wN*@&>@2r8K3%!35J;O1J)eU8HA=#pnawd6S-jCg3+9J(r_@I*6r46sN(pUZ
zss%ZKj5^t?%#ib%xMvt(nQ#y9P)O=D_Pjq_Qk!BPq^|m~(X_f)Bx0nomCvkVtLmG5
z=TzwHbhgZ52yE$9mXLs7!79Df$liv#RhJMC;yYJtM}}y*sfyvtqcEH$3>AR0wA6O&
z`1AY)0_w#ADE@tEIUoUtC3$2M`wXVev2dc4<X|EdmZ3VDP5!fOle1#XWu49*9I2oc
z$2C#xb?EF%s+&Bm6gd%h4-r3{z*0b<tYWqsJC5X*ze4OWzD#Vbjf0X7AtseYNx0#;
zQQ1|=P0!<*DH5MMV;C$98|O-A@M`EY!|GawwEQf{P5a(D7rXce(DeJ^yI7X=)Mj%n
zW#xB@mC;82w;9h01K5cY`V#sHe+!C3r<-)T25>jMzHYe*|C5-(#zb2_oR>et#e+O$
z4>PW({EHhz;ddl6<lQV2rDT|H$*S|`#Fs*t^ZYE`t3^LCL_%7X*>*PS>e%FZw)dF<
z?Pd+)&dMxJdERGM)5&`cw}H|_Ju<?I7NS8$@?XP6qsce<R%N#`jU&7Fks2t(r+i9P
z;DSd=^6*lQ)8fEua^H`Lfz~P_{~d+MkNImmB0>f(MTGxH5pgpoq9!*{8Qbin%*|fe
z<W)P$Ly3-5ZP0|5`yCPKQ-uqAaeQoSI3r@*P4ofPx94fdQF{hoqddD*2<)2bKEAi^
zoUC*ep^}~WKv`-2I)9@I?_0y|F@GD%^A7(wGr)jd8sHC!Z3w};8UC4$6$W?ZX%;nd
zy;nYUqw56~3p{9e_ctit4f_#=)5G*7<FUQE&bOOp5xRCeWdi^gcz*kvaTqnAY7HxD
zL|(&l8O1CSXFxTJXRhi_%)(Q1&t(zh`h|;6KXGv-3vF8Gp7`peuNRN!*S~gQCG$`|
z!4-;~I;(c-%zk&uew;=eUz@DrQy23c$1|>I-;KSf?BXhcEaCT12FbH$HrCItmq2)8
zW8=a`fyvp8^B2#bJ@X{2n6hNIFtXtH8O86#TjjR~e!qpmqpStA)4rhA$wY@Qr+|^E
zu8X;@#T-)`aQ{+_kdKkCOI9*d=X~U#b)0)Db1B0NrgBrxKPEbANBd#k4iqOIeJzur
zUjy?64;|0k+D2(<pC6V70mY5c$;Rqx<C#2+S1-DO*U!`;jVvVx6fZ3yM}T~Qqaoqo
zArn>dl=pBP{CLl7ih0T=rOsz^9Z8F=Q>kxkw=fGrpsiEN6JDpy{gHy?hxh^%N5n*<
znN%UBS7pmb!Jp4u6EU^6iN#8+q`N*Q4rbi4zR&g03QL`k9;3{fQULk8y52hj>y7kZ
z?cXT+e=X@B-W3@})=hm?Aw62ciEa9hWmr*iL(Je&IjnEXzL6dv&`RugF|qv%{JU=d
zl713~_OI|yqW1=VKnip8#!v1B9?tv5KVQ7r*uCHVdl9c3I<cqjDXr!0EFI$mSw1?M
zAH#@Oz~pW=;$;N{Y1Uu_G3clCRabitvvSq7usrJQ9ZfPtG}4JsD!x6UvHyr^heb5}
zuktm2&;B<p{=WM9+hFLD1_HMlxjafiyi9WMGac0&7Q75jc&qWtk->?YWS>8|2*$2Y
zRLx6Oherl6b}b((e)1{DF@vye3uO*&@1acK_7}NQ%OmcdoXMR$&n6!c)06<R@1|*F
zcvVC;Qz{7pI_zmkd**SAQv1Tr?Kmk^rz)+jk+j<PV6tIx%NH<ol$9BXTRy+H?i9D|
zh(cjQ>@iGr%K?o286rd_ky4DMqdkG<-6NS38w}}IH;q+f3`1Ub&$`Oo2Hn~Cdc^bG
z(H?u}TVh`%B97V{DJ^_?CkYy`&ob?Q8)}n8^+JxSZIuKw^(k$4hqkcPCd!Uv>VcG-
za^$4q_4Wf>=3AOHXgQMvNVNTf5&@}$RD@oqNdp^AIEB)qlurn~XzLreo^Tm6DHPLX
zhLNt7<e`zui*hb)QCgs+x<gd-dwb@p?Dni<RN?ldPU9vThd7P&s_bRhZ<dHuDA;e8
znvmd)g4`*j-_^bN>A-x|Q({1bGpF!1N#F3Ux9k+&#KgnVNu9zRoo!CxAUN2m9i74*
z`nC2cAvua-zawEc2G=ia=HP{J<|@X!AWjiS>MD|=?9o-!W!K%cdq!E)JZ#LLa}=ar
zzlZ6{vN>Eph}<-0{0j}*yIvoE68G#ZfDVTdZlNiW5|qq(Ch5C%%Lx~|^~834xF5cx
zXa9Ez>}dYe?IQm7wOu2H#ZEo@%${c_)5t*_p1qx&tNC8+;NQOmT1WWz^cw#C%p|_v
zS6@T?`+}S%KP~1=e>KhY;PxpEmZ&w0`H_=-Kov-kKFlEwnN)JdSCDEzsl{-l^THCo
zLSx6pk`V_~f}-UGCkt7NDm)RhNZ3U<5>QcdC@+yg3WDyd%tTB-BNKK-;C*0S)O*aO
zq69BU@PJT)K|1?B9_H0DNaMIy@Hm$~#({&U#mF->DpaAjSguCZAGj1c-1WT3MRKh4
za&4T_^G4*xeQgs$-%rr81cPq*n&I`S>?g#OM^y`Rm~7Fg4noVyWw2s8Ag!NS7YkJ8
z65#Tl>L-%52{Fe}V39r6#38n60jmhN*J06GGg&9@VY#Jidf-yR0`oGxkCu8A;6|93
zLXu?3a{V~cm}_{H)<{G>j=HN~UX_=Q$Eq(i76e|PaosghYXh8#RNP0316~|eXQ|0q
z60tn+W?%~YQAna#Qu7uxWTTH&UknTu2Z@IeKyg6i$Xo73M|XR%-eW-A#I5%P3aP{$
z0W-Y7)J#Un8!SWRJL_T^7o1((tpX9tL}3x@TAOr7x}?XErxi_N!h%pOnsMLPa=`<z
zvH=Ml7Pz`Y6CRK)K-Udv`->(&WU=XKxQ$1zgGjx2A=AnurIZ-B(X&t*BSrLpW?G@%
zafp$W%9%_d_=;EnGa*z!R@q?E#k8A7?vt##Izqp&2=4sp@)A2tvzgfPc~qR`j}XyA
zq*ag{w+BIVtUi)L-x&MH$2GC!Gap4(T?TE$H7}My_RELFgL+aA(cn?!ho{=@YuB!|
z{H=(4Zp#aLZIfMXqi5Jo#9cH(l7bOhgrt}Q-J@~@=C7W3@DU)p6m*S&WvHcC=2*5&
z<awxtvsl!X%kZf0V2OI9cc4XP#FMpIu?(5)Yq@&n<ZG%9;)XaFZn=@Zsd1~v9eg0a
zQx4@N#X{KEp=dJc9RjF3<g<E2vck|)XqOF+JgtF^SNaB&C4?A#CH9d~qq;p=jF;Mh
z8;~B)u-q<WATtby$y9`Kr`qoz>vxz5UERW3oFNT&L)>LJo_<ARxNUYcl%1fCgDUH;
zi%I5Qr7}D*t4suR65@pmXA1%!X)2E=h2anug1AH|CWI)MRCM<|j98_W+$-6P*}D0|
zG^qt@`p|ub8r5(6AoSK=#J^C~shRSJ)JeWr5BYs4pOf!#*?k&m=IJ!4Smb`wcp$H{
zJ1yhTvO9~~yb$@@<U08xTXbaIc12m2QAG0r|47EsGS-g8Vp;SgZi`5>N<AeZS1n{=
zvVLlV$}OrNY7HT({f_74(k#2)InbE*u2*KPXRFFVhb!~rum~bLo$eZ(D}6I2=3xH}
zFDC1jh<O8dVGt<@56-}uvuXQHZ1}6m1~eFV!mtUDpAe>(7Q~h>g<B!?J!>sa<FsV8
zbh~i(B^O2!3n1j9dI{(!t(8arL*M64qV#UxA{p7oMdeZZO^g`no1_;MYm;J1rpQH2
z-fPj>r)qZPg-}`%yH+DfeVwQ%t{d|^qqQllBo61tLk5i8pZUC5D)GGK8cuA&DtkRD
Rp`A171WS!Qu^4w+{{w%G4G#bS

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.base_data_labeler.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.base_data_labeler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..991322e16aaf4e14b5ed1f9a355a2253bb319fda
GIT binary patch
literal 220582
zcmdpf37lm`b@%K`GcX`H3Qfahe*--|Y%XaTVPF`xfngUMhvrT98{WHgzt_I^nwddV
zTyV=xqOny-)VM@(17i%txNBTuqJA-`M2(5TEgF|klW5#NzjID4x2kSc-MaU^H`2o|
zW?tW0%c*~zbL!MNRp;Kh{8ft<EnbBGC2Kpg^+t2=SaoWu*_x_#=95)Zt;xBWTC+R<
z%K7!rn}7CvC0X6B?&-AV+LN{UWD%5@tT(2o+O_8V&iUjJEZ%KQcgA@Am7UsTx6x|K
z>h<OI74?-n=PUKq$?|TaJ6%&=C5N3~?bM<z)owM~R^3&buC?c}FqB<(ZEY_SVJmXi
zJW&QsAD*n3tpY9G`TAkW>Iq4FeQC0S(|kp;Y`W2`&0jIMtC|c|yWMtU*IXCIiep>a
znCjp-R!&Y=I~{lkzn3?wGwj!@skzzok6qQtTidnWSY|F+*{$A!ujcD(>%;Xm^`q-c
z>m$i68?Wos+MSKJcAB;7u8ostOw6`hF(A^}xc!=mc5SxR*@%O^vfbL<fWdAAf;$@-
zp&O^*1r(<jW77<c&e$#hXaZkN@JD0q4vhAg%a+XTsxL~GH=0wmy$YlZ?fS7Wy83Z|
z<O%S<li+`+!2j0cNCB*NgT_}$md#ch?fGQmOlxXxy7rVPkc9bUjMdl>TA{w;itc=M
zu6|m5g96v<i^8?LR_)HUYZJTL)#hYfLu{i!Y-1L&*?r>(G>p4>OVrvOJWN1&F`&FU
zSq)59y`^29tt&_;=U>ojcB_qMC#vp(#;cRvh_g|&yWN_J_S74b^@!6YU+rm3Pe+Yr
zz1D7Y#~8P->q}FqR9pZUZ)PlcMg16Ld?!EPl$;BkyAY;Aa1Kn#7}HHcxj2WXv-^q;
zFaRi^<a|^+TR^C`F)@oOG;uI3p}etvK6z3g^N$&w&0B?mO%zD<GSI`53Y!V_xd@ak
zyqV}UK=GgyC}omsj6Nz;jrMG{TOW_M&!Rf6PVWE?-5G6)u4pxDqtSG$IyKRvR~@Cy
zRAaI$3auyJtN=x8so!d|+3Hpe-JYyqzzIGUf2O>+0%mPGj2DyDduOJ{JF`_>X;#g)
zYoJSStIZ>e#?Z=cu4M0jbZd?5bfW|UjB6N-u+-wZA(q$r@}v^VNCM^X3i>=e*F6uF
z<RD<I4FEb(mmG}5(%jPDHFXWC-(G(fPRg^>NvYpKdIm<hnnr03ajn6hVkDX8I>E2-
z5xfcsX4J02PThq5k&V#D5TU5pXKLMAd%6M3sxm3(_bx$FfSBOQuGDTuyxqtaXgW~z
zCro5l@&*K=@^2l<ce{~H7B}as>ipu|-UpDqo!IsW!U?;cooh~Z=Q1i_@wn(4e(Ak_
z)Yt25w$~5yUe_gyBcrLet4-DK7y3UrSW|Ekur;%_<`iiAiM?R5DS&hHXkD^O)HC||
zirSBR-2|(+wtK2I1Izz>vSfB27*_D0yKfd$*K(4Zc`DMawr{C*L7mC&z?j%K&djIz
z<di_sM}4?&oV9xe&d<Yu)I%^oACW*T-XW)9hcTufd&cw+nW@J~z^4CMG%Yb(3Tueb
z^lv;(t7fMHSN*#wR`u^`C{YJ0K=mI63>++5+%o{v?9{1?4~2b>hd}4pYq~-4{tQM!
zJZy|gQgfJ;n$~QsUG28o3KJ%aH%XE=86=<TB{^B#%1BLI!75B#9rUbDRy3Nl3sN-P
zGBgDQ9qbQHdgF8bq<~J^U7efmPTW?Vo~!9(C5LzBW@lUN?nGy%+U`Dcu7x|UmjdU;
zn<TXc$_l%P73N+T)|&y(w+U8EP6)7EXiODFN32mRi4p4$^^xD`9eLf#5Ak(SNtZ~c
zVvKL`cVJ~q(Lr{O>5a<g%GeJPif0EIcO09nY^MrJhvM0ON|i}dRia16(~fclJ>Hjr
z)T!j+m-`8|L&`hI!m$j|GDP$B{vL`$!8$1egIndj$4{gW216dbT<&1Pxn1#kAV7+%
zN6~%8OKAKAcx|d(uIX|F0cd!tN<*%m`<kDUOHE30l^Z9}z*FH5L%-!0d?P4AzW?E-
zwo+$j6}>#*%mO2AJ{dx@xU~ztPV<`Co~$Trb=1FCUy-cZJvTi~W@r7CXnIW5N05fg
z76VOH)H<}_vE9uictlj^q1d2T>gP$GSciK7*mW{<X8dMG>&;v<txHz&_o?)ykLttm
ziY5A*p4utNT3eIgzF9fl01Ll5tt`RuVb}~a8&+_%bj9~rqaWQC1m781mdy48<7@*n
z&NRevxjP)28IIS&KR!Q9vV!c%$s#79VpGKtw4a()(gZySTCMG!oo-Avy7Mok0(+|M
zCj3;a(D=8&;fkGAf2C%W33!;<Ig%{A{Wr2I@y*;WMQjYuC=L%iVeu1j!ic-$rTCLE
zc*?#fUr7#U=Ff|Ex7y?~l5Rf6OC9Oi3oS00FFqH09ga8g&g&zgKD-4wF;<jEE@?Kp
zjp}scb`~BGjyjSu32siQ6w@mhrrU~Q8efJrj=5|pOo&3~>SSnlqc%M?VR#MrP6;9%
z^jgt3!iy(sn)~=6U@PW{=m-l{eI$nh4GqV;i;N?lVuP>ZKTLI_ohm8W)tcIup%h*p
zv<vipt!p16hI3Zq=qEt6&Sa~n@^UP9P(&LxMCg)?x-Cs&xZVf%CfCvvu*+;UZ&BJz
zq*H@yZ27ki%S(e{Nl-C%W^0p;-Hpllm&9j6O;UsLS=a`ybMcGu*Kqs-_y^!xmn@GS
zx$~8VTY}zdmiM~k2<s>%rH=Q!C$+6ST{RrvNwn!Jli|sUpTmanEGim57yc0|G3VBF
zs%}*GNjP6E?mUjbi$PJr4$fYqIXOKyRU_SpHKN8?ZH(!|A=HOpX4Ix5_yN(Z$y%q=
zYBQFu#4k~LPxK8KpIQB(1dX`<uW%$3Xv@=x@oS){cUJ!b3b<z#->N;q>|fG9Eaa&A
z*(mUjNp(K|+(#%B;2&?3@jirYIKC~Q)h;WFIw@ySjwe{rX9TqRbXHVoYO!>d3m4UQ
zBp20d)3cTJQLw|^aC1lCTCTUIAXs!xprg->9*iLcdc;UBL~?jH>k?h5*TjS57=t2e
z4@R`%sT2v~%J=26{4&-bGmP0El3hs%mo3#rLuZ~!{k8SiX*RIf>VOYEUL@-#?_F3y
z96k*c$$66mYe|I#$#id_WuFJzH)ZhgV-N=|D%7q)M6cOV*F0t0YH?4H?@phY6C}EM
z>e1z?NtS~3s{5@O75?1<+ZYVT#{vPqJq~AucmxTx1Cr{O_*WpyY-1b$0`@2IFX8`b
zoE85++_nUJ&|xq8%6JhpnjB%12?{g9)|O8WZ5e)p>V)k7cnSOz^Ul^ybxV897KlH=
zxsqB`oyMK!uIU=sI>Mfl=4xIsIiK;R45EvJr<Ctr7OGqk+!ylE!n&N=B$r>(oSo}3
zixG^AnQFH~h6h9{Q}beMX!~5(UaZyWD&>S}-RD-*iMx?a+|!CqTzoy&U>l7Thj>SZ
z?c$p=k1BCZd6ulanky4wEQ`M-m88gTEkdH$L)5X7lo62jcuwh>35GIxiVj<sus<Xb
z{BKYMcNC!n_UOa$KB(c-G-$qa3j-+*v@mJ`t#S)POp#cEQ@v##xI$7E14cl#P$v>V
zI2WK-tT1=d3T8H#?mHfCjNb}$CM!WzQ@Am{7yqOPxbpYPW{aH+!<b8bf{a<dh2{Q)
z(nishbfRfuraC)|=c!8DMj)0D8td)@>*&I=){#a^4`$Mcxg;13gFRHK-zpXWSPnVu
zkx(eg6UpHuW}krBQMVGhy`*l|grx*$UE+_*TFD0&n5ASOM`liHUmk3{W`?HmR7db3
ziG|Is@mriJj`2TXGek`~k1PNq+`!|JCFt|--rn=)FYPxK_4otO=wNJ{97aZE07lM&
zXDYH6KE$U6Rw2K6HUcXkoO!*i7Io`2=BbTp&B+!X5J^3?Ii)01#=pUShvQ!ba|WW0
zhb$MmC==@co1#8I>*Ua7p=uKsSnlCG7%Po%iMuS<IvGWA$HS5BePmL?3Gmir1I{<W
zszz#xd%NI(H5^{xTB2Ab$uvo^dca=C6+wWkqGO;&pjCuOnZ}2z%MeuVcNq$3m0LxE
zH40fpLW<?YxvU~M5y}h(-7bpX2@Dxu22{rH!e86)*M0KW{qU>*HqZ@i&?ap-nXfHp
zeX)fuFKY`~N$SBSI?1$&937OmjcPDe#ciXitd)FXf!Rh51PvSMv5sQQR&u<Rnue^-
zuEeOg&6MIBcd(h_Hq-OHy{mdgwRvs*DmK$IpwYqDOo5CpY^MW->1Z{-iBDCo4Rw-c
zL($$6V?m_<q%kEuU4f+~)5fnyI)>xd26K+EsSc>wxF?;B0oqpYDFU*vt?tK4BU~f&
zW?K>S)X2DEW>$!8m8~S1$7@?<>j9g6ya)nhTYUs-1lm@JRG@A3&VW|AZ6#QvkZmQT
zTTWal+v*2EC9|!5h`-3TqF;lttuEoVcRw6UPc3Uq3C2|KEfxyA(J8kr=@m0}qmu{1
z%ej(PEH7g&Es?d72NsyQBqqVIk5-81%pekfN_{{U&|~GWi(5b`WbqN$j9~%Mxfi-m
zCluE~;}M>PVb63rPVmy<vW09ED7MgVKn@3E3%S@<7(WY^g~;0ZE#MXu&^uhSc8K4k
zZDV~WCp|tFCmfFN1<$*%WEM8G<9xheNDk0+xw;6d!gSe=l}5NI=bJ8Y4z1J0YvQ_^
zF(1nr$AfEnh2eOz2%ThL+zd4W4GbJlpn<V1pjB>QhzTrYU<iSd@Rl+#{s5?C2F4%a
zFETLb*I*2c?P~0}FFu<sWz7tgk{(<&N1Lu1z1{L2ntNeBihF3@ENdknSYRfH4xC|l
ztkK^x^Fx0qwE`I-4@w}48zCu(@dMb5VT7E9EQjeu@Ps9JtmVP6E0u#0(H-e2FF3=v
z0U}%lYUyM7gm)}1L&i1=#gKVDG&&eV#xD}WoLS)PNk+{Z_{8M8aE{fC8sr2xp_`tf
zkp@m~ImsCDH?Z&F_+Nv0Ll`>;0`Ol;fghmB^It`<6(-OB#Y!Vwapapk$F<p!A&QTx
zJOO9DJ6*`NBku_Zl$6|&1QZ75S+*i{jbY3)9503%fwmF?5ojy@kczs`XF%^Ux0S@q
z7qXRvoXUAAWh;%r*qN=g5r2`bM85`OD_zVE^Y_CSv#G3+L?rZJ9X-~xj(CIR&7zBg
zSyl~jY>~B+zgl2s5l76hhnA;6;{6!*mlS`pfSxADT-*Xm@rtj<W(*7HR1ZH9DP$5|
zj+aq{pJtR9Kwvf5vaFev^pVuOBXQY3wlOI7&$-a(VC)|U(+k6Ap)w#@Je&Dc<XSvY
z*5aW}eT`pIk|s}nLCFm9^RV~f__@LSAZ(rmjrkoZ<^wc#=8J$TjGb3tr4g<p@{OIN
zRAYx^K4azhibzICe5HUv-cn>N<O6yW)Cja|aLj>r%^wD|%Iz94$%X71A&qhhO4&94
z2dHFr%|GHVvTNwqVC<SJAr)tOF`zF_pwfq!HBx%8b24W?jfTtHJKuvTDeeaPwyd?_
zPCgpQ8FtUX#%tyXGM-93L3YspN-T=oK`D;$&#@W94jOg(bTk&%T|r|WSCFlmKAIIP
zd*g?69EvUU4H(;CY@r;%5H`_5JDzKBA<J3u2xqi1wvpDL&o(j&O6G`<N5&YAqhS6J
zw$TBB{RkiSU}IoUC<3mqk<P?QBV6wCZKUH>8%dk(jI9(>R5C~sQW_X&YmqUM?Q{Xu
z2(+CLi$L3HV?e9ib`q0c$aWIaDyOED?KBHiGTZ5y_={{O`ZXBa>GBR_1)=M$oxa?S
zKi{*Fr?rjm*<^@g8_U`}meSFK)pWY)9ZFlRutBnWLGC;ALun1+Xiy(X<|jkoWiUf-
zQ_6pv=|!?`@;3|2fuur2_Dgz;evOJU12E0^n0=`xcEsfW)fss=L;R^D{zi$K&Gd34
zb9^0Cf_unHdR2Ea$9MZXu&3PP9a!?{;Tx4h>S?lD<-VFFCxGSl+9!>++}>?hP5>iA
zYc^$JHhUPZ>5!i`{up6sbZO5j$k0fQLGu=^aHB#((D)u(vyP+-sl>#0BNWJb@iA~E
zL|)}ot|(g|wWL}2QO}UZX959QinStH7QP=ge350rhCqsQ{5)uFFh=)LZoMjVEwDKu
zpWX{NthsjU*_)@QTYI88NDhw&&_S^%sTT0q&TM10hPiH|$=1v)q_}N%(>s3UDocG5
zAF&FUXgGch{u7jmNZ7XvT3^!yt>t3|t+*OL39!3?8QNM+dwwt|1Bt`6GG?Z*<XKx_
zcEFybsN?PyPAgu$V_6=?hnQ}MPZpqFs|-c(pBkFnM32YD#@3J0JM!e24>i*@eK{mP
zZUEnzfqWfm{<37mOO;sQb4sNgb2{Ugu_7E3k7DVOIKqF9xojnHTm^m-@<S=AO12m<
zEzr9Y9}mTZYGcphQ<O)^b^}xwpcyb7KoT64c!S!<A$lJIG4pW>(WOuuhIldl6Dm{&
zM3@wB3)Bbgu}PtYL7*h0IIk}QhG3Vap-1j~E3l%19D86v4qv3%P2(MG{5KXEKkRuV
ze=LW=Ur&QK)>>sz1U(d=!}?)3rE7q>)?(3<v8e0-(cK)-!EvmEr&3V`^~F3*5*Rz`
zxSz#}@56sW=UpB5Dj<vX<sS?mHxnU$QGMJfcqh<c{J`>Y3k@lO17kx$VR{dI^M_qQ
zzqPh+l(MFGVC`zOSw@>$6}}dfUA&^1IXGPkd2c4`OeNyiD&X==z1odxd-3Ec)1ZyE
zZNb~Wou)GVr)+NTDLc2T0eXR_)tyqwPlTi9&*Zna)kl(8+Lzr|gi_&Ec?VV+;ihG-
zSLKE`K*B1n9N_~!lU>+SZlKkTUqZ+1$?!o5Tm-8T@Cdt=9^KNot=5#BF(l2JsM>_w
zi;xdVTwJeBMZ{HP1<CYN@H*<uP1eU3?3Qu-jI+n1%7s^7z5VKqXRVK}YeGt6NN)|p
z#oJwg8QLLZWDhv>JIhI#8UUk17PXAF1UC%yOqF6^DH4USIZQP;G0?|@8A#1ec`($<
z<{bSnJO$mcE?E*)jBfCisx8y>*L<;ClpHD&sn%v@>(x#}Pb-Hoi8Yz+=5#^$iqU~z
z^*xNGhvP32!S15!?vmv=vSg;F^hNr9GyWPh?8b|>nG!5@aiJ;6VC6{Snkkp2ABz#L
z{Ue@YQub$;a_Zw>vx)pA{!?Z#UISbpa3n+Zpk33g$y+Dr(;pd2Raq9d_EBy@VqDFU
zF{Y{kuXU!HDQi~~iyw^tltJbYKxPOk=Xs}Bv3>-IL4IU%eSaWF_|Tx^+0byo3Uqzn
zOGWcn*}!yjPb>nTSYOY=O2O-^$SB9cvCedJ7Zss|0Nw&M@@9_%j1(6F*l&;W*n+Tx
zf_Ortn-d-t31Bw15dR1!8NLfaS!!)*Rq#EJEWp5cWC4E-CbF;%K19n>s`MqWu(@nt
zL6Xr!Tw$B(|B{VXD4sDML7wx`r~^sgC#vd47?lq-x?>KjWou&DP@YJwPOIR{V7}an
zD<|S0>n878VCJI&kP&cLAB;a?TTwngHI!E6?^5Uda(XAGga4&Z#TzA@MM4o!30Bmw
zP=vn&M<{}IU<*YU%_*S>`cxYk#96mFz0*hjNu#AOQ_=GoDe5CEFY(7{d`6FsI0O}S
z>trnsL1h)@81c$-hF@0l;(}x3-#T*t;YZFsj&CvAf_Ua<{toOs!#l9>48Bp-jlwh5
zZ#8DwC;dX0j>MWFy=7xY6>pci-SF^G+EExItpWmcNpydX>{vgsc2s!>Sx77rwZY#(
zaWo1@R2B&L2g%O!)9C}kkV7x4J2(-1N1-1iyTMDS_k(19X#g6EeUL2nQ&QrCWQ;%q
zPlZLYdM&>!CbfT&6!!RT{Mm>2>Px+YSMOQ4q`bHI>Rr&k&)DZs$@r=TffT#=dGLBL
z@zo=p_GKDgr72<IRZb@GqCZz^w0UX@ypLqdV0;xbrlJ|mp48guvB2DdQhUem#yK61
z?+cz<5jI`OMknF^4nE}l;=}%U5q!lS`y*Hh_SlS9fb}gY-Q(LcS>7xDPYFGlF;E3I
zGvwuN*7k6o+EpX}_S6)(Z!P@A%p~3a8emy}J$UG<H}P#yE9-sz3OsdqU-6Y@+!#xB
z{Lipq76DlJAR~M)nLCXwEBH^1#@zM{dT_X>^~Xe<yQr!Z3wc`q8ya?FL!MR%Ovcli
z!NuWewUk>Q&KgpoBn2vg-Z6Vk^|K}RNgkgs=b(%e!auC_5Eb=H!z4HLBPkD3zt*cf
zEj1RAi4-ZYu@@sZ^g%87%5q}^RT;t~FCakhff13xnw4dG+4#hk+){8Rlz&Sk$wP43
zK{{8vxy#KU;&W-IKwA#s!B>3~p7V^x+%zk~vx$gv7gdEPUI~TiJ8{MbG;Lvu^P#L8
z8xkG~Oh$MzxHyEzQts*j@R8(=WDu=`IGW?g7snHG<}D+R-X_I&%KkAx$hlh=7s)`k
z?gyDZ=+|djUIar|g~rXi2m()p{sOF&v!*K{808G4=QAy@DMATp(fNRB;{YSYg#h-?
zF!!4a>#LaGoSVuLK#SjeC6Md$o8x=tH~$#^q7(V_YcPIuI+0JR;8AcQpV85S=ln_L
z&IS*U^U<+?Sh_{XZiKNzx09Ss;R|wDR7ia!6&)>tUxkTs3!2|e{$*KrK_1K(5E*{*
z!!2Mlb2dGn?<}Jo(-$4EIj|?}{E5V{fN%VVP)Ya5xsU1p*585M5yd;Oc$e^v$}fta
z^B_tH$hed3XELWWK+j?!<8a4g*XV7!mAz`Ics!h}lQ8e*VbD2QZi~&2+~ON;sES|t
z4za;me1|cZQKObI7(3p6B7i(&!vzt4+aZ>x`ukQqU!g$Kv6&)38Vi)&dCAzzD5_AW
z`sKbyyl$XqDT{u&R3XLxfqdErzuYZ7L)x2PZW8)0;Fq%@km4MF0Z<u?U(R~(fh#~T
z(eU$2d``$g^bl7gxsJILuYsEm^7}<>W9W3wg%y?yVEhL-xx?}A2hTB%1V3rC5brgJ
z)reh~ehDA*e(}(~p$NdjntvTul1u|aVDZo?*8Bx*d{Kp^rELo%X+tDEEgd{FTx$UP
zv{N^NTAZy~x))9?+u{@?hfy*SSy2xJ4^Z7MzX)n&{c!Jrrw&&FzS34CV_DGsaBLOi
zblcY5zc-q5D_PuRaZlW*i9B~vb!92!iTf-x>_&&22@D!zl=#VYu^KO<KlHizW|>j)
zN$}%Ki=)7o{?L2=?=n6AqyWD0zd_+pXU)%`Y!JR+Tx6Uz8P0P!Yb@nXEg*jqzobYl
zP~m33>6+*Ab>5$YGqOD2rK2Va+@=2s746&c!LfsNfp?1?lFQv7r(vaV#Tn)XIkyNU
z<OVqhYWOS{1z@DO5WwE)73nI)5?9C#A`BA=pv4VBQs+57i0_#jqyYnCZV>u47&pkJ
zaQYv$PhSoXo?G_tASa>+2gqAZ2Z$IKk~AJ|f&ag`-LCE%jdtO+povc7_S!fs>0P)i
zdDfYucuf*vm}t%7(RDamh=1Y7DWF2DHN6vx;l<|BsMc<`+7obxbEeUu8%E<)0N!t{
zPIsUHeB^Fds{@T=J$QU=d#*<Q7E<!4@hkQ8<E|^^(Ah>`{w=i`*$B_~N|4{v@*G(=
zd2oRpNR;3hZkD?q6|>6y6sc!ttw9zqke+v3h6SX(L4WA;e2<)~0v?@LL8VZS&b|H)
z>>dW*fyJYPZ#1Ja9qZ~XLgv_j4RZ(#1*L?J!iS7j-7A-BFnWACN>5?_h`%97jehO^
z2nLROQBnO7ub^g?^N&Z^v{8m_hSE}kdDKTbc;E1YXCK7BFv1ikmD?%!BYy{W7UCUP
zSP0)ZSZFEeXBYF(JALHK4$)gOrcd$v1hNhF5ymi!pzn;q;>Fql1#DGAPv0Hq9k2KF
zoqsxj2JQ6SlC#bfe1|`E)X(x$QR3tsBd(-Gof5c`XM}96QBjOI^IRYPHt+Bqsd6qR
zZV5Y|{&ar_c5&k!Sa=NIIK*wOVe@c^vWna0KAtt&?OFJWq|KSm;ORbP`~p9rc073p
zStu-LlwRTQpoAL2Gf`n`C<DZjQR&~npE~dUxu4R4P%J}(*XZFd{XG=Nf^||7jK%IF
z*Prwg>Vv{iRCcBB7svui|La~ty-Giq22JVvw)V6q`LUmp5{jP@XyB>vh}V=lHfLv+
zQTT^tDhQQtd7}%?s<pZjHI$v51(rdjP&0j<zXLlv@(wIYAKy5XJ`*T%L}s;{O{7PS
zwv4eW(-mlC6%pwQVQ6&eh1-Ef0g1cBJ7BNG`Des5vzC(wK`<fzOJ}?tep*V%93!!$
z%pGBKc4P!?B`+mLCjZvQ*7c6fVM)yrLxfpU&-Zs=7b@O?g^ln{zl7>;qb-BO2P;(b
zgrU);U8wwM6cDNhyaV<MRW1$sGKT&)!FkK*51s8k?Wd%KNHGG7h*W-AJfV;}^5U1{
zrrB~rLHZa24}E;cJNS^BLwfQNezGLYK6}K*cM7W;*M@AvPl1c~0VIPtp71z_Z&_X%
zVzWVK6Q0Gr86XP&OGD>g$vn>dlc|`0sL`CA>$00eyQ&?y>#+yI&6(RoEFp)yQ`B=i
zQX1klhXPYU;tl+#NY;)8>{g~ZTge9ubC&&1OTUw59a{ul5tTa{D~)iecO=a!e&Of}
zbU;Uy>zWYp*fBdbh7Q}UkQ^9-81UCMwRWS{8I78=W6h~5#!hz9wIr$pS1NYZM9>5{
zbq=zIvUOiS0FmqP9uI~?4L>i3TG_)7PlTtA!w>jM<!Mtr>c;|>6C`5M;D1Ruq0P^B
zqd{Z!RJ53K{9zjr=q{=n%!Q6WTm=og@uA}n3><x&i``z5dYSR@2{85%dY@}lMiUV0
z4|SyXm7(Oe0!YVGP&o7;#IvAm38cMlm{*h;VF=c%r5FpKl_xsNZz@B>pFyRJ(_3ME
zm7fct{O1Ee`Tb=^7=rRpsv!l;>LVTJe<(x6-wg`q&y~a3<45~unelOyVUMLG5hFE=
zZ#2E_I67o0ccgovl2ej+3V|hLwwhX-u7g2m<;)Z=2K*A_=~UEz334<I{6!TAhS35{
z&)`Pm?KMhT$;?Pt!io8e+l*?MkRLWvA4wnx?86Sz!FDfHZVf2zG#(6XIo4u)rOl~#
zy+~t#>k>=M?_{GfH_ggAd;$^YE?Qb|RiI%vHna{)U^2X(!NtMrmU54G@`Rk>#9anB
z-E1?T(}!{}EXe8mjObfb*`go7A=YQ7bE?y7`g$-$tCZdzul@2?@D^}&2sgu{QDdw&
zMyGiyoqB7}1SE{z-GB_J@D2D)bTr2%Hkp_omz~UW2`>rIO~K6QW)dMlPbYlglteb4
zDZUC9pk)Z8SeV!!I@KMcIk#LWA~Z|nxr>$-p*d*SjSh(rgGMte;}{nTc7zJ7T77`O
zUuJ+Df4^?>CoA~VGX35?C}3Y#3fRPJxxTl|2t$xnq7rah$r4!nM46sHHYjXARSMhq
z+X~a}G??~Z$_$W0YcZtojixgki;Jb)wFA+*Qbd!%v=57#IhOoI?P)m-QgBhbITK-w
zD#**UmNj-qU2skF6Qy{)q|>ccr_iR`Q*AdpQ4127i;Uz$;<Rav?xBd3_qMgm61?P!
z(eg&l0<B-GAEPsgTfMtAv{=8ELt7355MOD$=vA`0s^A!-IXBhH`ZY}Cxr>%wzanVZ
zjSj6}5}J$&m_f!NrIvDA`od3=ACmsG2U2L#nlFV*a^|L>6rRt+kBaPVovz-3nUtpR
z!w@t0;UoCa1YPZdhqG-w7T$pr`EwwI?Woye=996tl2J@9UGi^<A<5MB!QAQQ8X;3x
z6EIer5MT9CrfxNwa|?<hQ*|QGU9_}J%|OF$bV#NoG#Q!7AmflJOS#hv^NF1Mq<CGB
z6_bX1S=pY0c}7;eO^P%x8v@)I{C*RLCIYYD97#p{cE9O8g?N<TZ@M2V<wR1Hi=hYc
z4JF<Q5ql`@Svuj`W0=d27a@->J$)o#E;;Hrj6S1&(ABl>TpPYDwr^I(%e7~6sHE4v
zQDk@`j`ek{6pp^Kbu~-`(1EtC?EeH4RaO`AZgaHJPiT7Fnh>OtX8cF_<-|Qggs#wx
z`vsk6`w^kfLf70xj9bp6<(eDCR6N(*@IAZcRyiDgQMMoYHJEE|*U-mQ+qKzt3miY4
zR=Y3v-7ZEKGc>uoF%4Nh>2f!GXKD<C_Y?SvW#EBV<^ckenjS8`b@SS;5G8Wp>?8JB
zqSaE6EKiaQ#}s5;*ta~DuEDW=hjNYW(CmnqGbZ~&S0kHY_Eoz@ml^-XwoS5b@{t90
zu`LUial`FWbv|0{US^H0Tj?#eemAYAEjmOeTP&I8W1R<Xkn>pJ(%ZFADfBe$Zhr^%
zgMYjO%fUZ<qw=hh#%LVJUrx9fR@rr~mnL<b?=a}rWv#?vuU<$CJ0iB1X4xRrel(HI
zmwVMy5077IYgP$di?Vp?F4Z#eb_CFJ>W)5nOxwWh^cmmOA=~LKJx@e$d4b*-Hhht<
z+lD}jbNpmzZ7>J#qP(?Dp1@->L#MgMIk>qe@HSq<vjd^bV&q7!bCf~WnJB1mJt>9p
zKOk+x@n<-R!s;^kTVX_ID2^Nm>l;nZr_#w8{877qEdsOHqI?Z2jc`$S9JNz6h&%NK
zFVd_nj~%rE7>=8w;*;DEvqYX#8Ijpp`jI+wE#>Yf^RZ+)(m4MW428P0`2^I;9<%!~
zJau?>@s+kR8v0O+*(E2c*txJ0CPY|aeblRt(8=-2naEMJ94dt#YASR{ZwMN8qf1^a
z32nxUl|k0w#j=z;F^JP7a!FWuP-A9a>6+j=9`gfY9se|N4+qL&;C}a?sc7H)N*5I3
z8tzv*4=aVM4d3ND@lC$r_}U_rkVD}rsNrK?bO&;Pk>WxCd#6|A%@GP-EN%Wui{Tpy
zz(``rmH=8D3L`+SFMTk+XAXtu;4gA0(67Nb6t>|Gjy_!87f(Xz&+bVwdT=3JYcsRh
z*y#VeHlMrD&p{=~TX1=6s)nIWhl^mfLMrnOC{LvJq1Ea&FoWtcqALu)Q{a`d?t=UL
zo&u2J4LGClJg{Xm-Sn4iLEYOgCnCgp%>U9S?tTe=ft~z2pi<~g{)7Gw>^phhfn_I;
zZ&XH8cJim%ck(u#XOI}C4tS`GG@;}8PX=AO0F>CN7a=8VXa0GbHG?qw&Ya=zUJ1l*
z`(9WI-fC-B*$|1cxHC^hJ$?%U)`y+>uX+Z)x1IUV!-g+*<~9UUoZ~-))&{dP&wNQM
z)m^w{#e}_VN@&;ja*k^5mi&Zk_?Dbhjei>+R91>reB5Kn)HoLZDRjAQp?yy)oryZj
z)_XJ`@_xDAc6Jeb#h&{NtRy)G76X5_-YtwfDmGnAN2}O-ILa~Cfs-9@i4s!xn(iD@
z+QyNNfEDhN;PI(jy`!L3b|ZZuJaufO@s-M^{`+c>MJ#KHiG|w!QVIqcTsIlr8ERe8
zzqo<m$$WPZ`R<}>h_%p0`DSR?jUH{3C3KmMat1laM%hyC#2~(r$R%OrVWBenN>#LL
zqkMi2w#q&Zg(q+yH%3MKwo$$Znp2t7%?d~^-zdKtD}~E?*hcvsMJS<-^1TFwpJKjI
zMv4mo?44e*Q5IUc&_-D-q!K{OM!5sz`Zmh=o^6!Bh`(r~Ouq)RQN9+}quExcE4@&C
z*)U(?G0(}Z$fNNxj=inAtA<hf3^_e)oNqfH^zIgj9ylA<+`%QnxGHY$t@UA+L9s2i
z<&D%|r1^gcJm8jL|5p2ZvTpLxg&2QV!JVhwL;X$iLzI^h7fGgd`9RcCnhRTR9A_il
zjQ725b(?Mm0)pZL%hvhWz>#}r5mXA@xIf0<fqmo7JFslr@r}y1%EtXEI3+M|#-W@7
z6P4Y`_td5?a211c_Y$PqPoCViJ<%4n*FTXa+Mv|F*Jo4aUIE4a9ryab2L0i4R*SN@
z*H3j#{3}#Dec0<?)$>gBw%5PhhN@y}^WlrVz72sC=lENI%3${T$K|eaG7QhAhW7m5
z;fq7=p8xb~v@pD?H~kKP;uWPN#(Qw?hvT_m7C^5Ce!S;ESm<be+I;By#Vhc#A~=hk
z!i%xe2p9MKNIW}nDHm){Bwl4P@)x9)z-Iuq6kZ>uP`p}_ISgL4c+uiT_+KA_@_!bL
zin<$~g<4r(!k@xZhc5wNX=|mizUe{vlL{=9>yp6IQt-&;{40YXV_{KLpyF+K4-L>=
zR9!6#c^e*thTZs*w?TrN@it_zb$A;r<xUFYItg78SOL_U*;~3yxcm)w=b)?j8&E6*
zx5F=_qJ8r>{1}>38QIMYiof9pSSehKg!vm5J+1&H<Zt*5LE)#E`x}trLI8WGSNI!*
zzAxl&5R143(Bg0S43O*dH{g5bZ#WfDWBvyEH5h-xRg?AF<gF9phHPJ)4O{J73i7&=
zx^y`kbXt1wG&D>bOmDf;xwSE?ds*c7XZUAnGFOrH0&eHRA$nKBt!zG)dWuy11zrL1
zyA{rrb(0S*Ft>sUl@Z3@-19UsBSdi}M0ri}8tHdg9+Ryh=G68|pVz0$xhW9fzaA=u
z`U&d(4(xsc-hstWfN#_#L-7+R_sR`}2rrjeQcgU_Xv?k4Ra?Zfb7!4|ZNYCR42>@B
zTW~)bVDE>1U*u1{1NP?V&80!h(HoHX`aVA`C9?D~65VU3@IIiY;%Y))5xf1FZ2nW;
zp*wtYA7>N?ebDEN{toOi$2+jd9KPw7%zfWz%Mbu%t1tkW`wn4fbZM74KN<yOZsp^3
z@buojGM7t3QJFi^PfH1zV<Z-lx%{%|9ZXGz_$uU>K6nS8>>Yf_5v<<4gJ(nk0nSn3
z9kd~kVi%7CDueM39^<!6rE8GQ3%Q=o;X<A38ocNNwB^&>9CSN^-<p5~Z_O!|3%e6R
zQnzMp62A4_x`n0jz(XG`NTy9z@0hS}`qrK_isGA)O@`xV1apgUBrbT<mZtJXKJNYE
zMSNxvkcAhqiIqmUT5xy~i>J=MJZnTN>1FU`M0)`U2}WA*J8E>I+p5!zDaiLUBsQtc
zM%O)xHd~yB@@%gpN7D8y2}Vlwd_4_nWj%{8fu|17BEHgAdc%;`J&TILZ8xyrXf&s<
zeX7b;{DQA1^4vvLyP%L?@XgS$8y)fsN@y~E!3;7Ezo4bu>4mvR&V5q6F6b_khIH9*
zc?<8#!5pWDXSsbo74>JiU1(|2z6xVf+1|~3ZvGJ|oxV)?SW`OTE43T{8NgiW`mxcR
zn`%Y6en8~8i>lHUKL~|G^Qiv>%DT}Z>5|Z7q$`7rL%J;G`jgfymAL-22U2L#nlFV9
z<;+b+3cXE=)KAY1Xq7vvacK>7RNqQP`xXg!!jZaYxET~d;3p5y#7a4qfO4}pEE2G_
z2qhE=xBzPS411)Q1B?_G0@y#pJm-(F*$PDhgv~Aiv_t|Pgh}>A0`NVH1kA#~SR{ac
z4JH!s^yyZ0YGQZ0H8U~Y*wwDK_w^DCn4GS5I?)VlFIrRU=abUs4>Lsd5EZz^+<Rpj
zuQcIvF5{5QuuTsBl5q^~L%vlWj$1=$FfiozMfHbLMUp}K(qJ(WZnqe8;$5=Vf;)GS
znF)Tt@Z}Q2!z@Mkq0Q_Y9nHHXE;cW`Kf01)8ovgcF+vopCBv{yb9!jec%vRUT!xjz
zCY$}C6MVmyV22Cy9Z)GWZ16#U2X+@G@4({1#5bDhm4;8~gTIbkFP4u1|C7;@d!<rM
zDNoRV`Ur~|e4YR_dbIm585Hj2Lr5iE(X%zHcw$9abj;bfEk0)HqD4{+p45v@GEHKz
zqf57^bL_ABJ#VGy3Y+VnhfRub7ux0}o&ESuXl*d=!pvd9tgZtC2rm#G5GtRXWY6ck
zl<V(2cN<tNnVV`6nlRa?x3^m0L!#&0ypev+p4*YK5FdXOXu{z*!hZ@~n_OrIC9{0U
zuTPHfq3;(L=M#$HEH^e-X@oE54i~4gu{i}->!`wP!VMAq1xe@43zCeRj2n`<EB&Rx
z15kJWM?tNu=W#1Mb$A}}mCBFiLZEvd(={8uA%x%Tko--?>4edkv0^Gq8}7~c?Z;;j
zaqgn(a$d;qScQh&*pO#L0+aEKWN>kKMl9uybTfj4EAbQpEn&8rt|%@~;srS<s+(ad
z>TNQfVEJS=QqjJ78~y~EQ<=>@=}0d3HoOKag$w0jTheP}5$&#oJ#BfD&WGhC%)>j2
z5KK;qw-I9gfpMn<4lK|q5jqcAnrR;7(4NTwle~VW$neB`d<rXt&&OJ0Yt3fEh;M+o
znJK4}`me#Hs`?`CLbX6oYL<c=<?&T$JIDV-Eb(xDIpL>5Yzwi3Uy8Y(N-VsE{8Yl$
zl2dK*QxUqJ+|>A<`Kb;Y7Je%FH5fnD(^Au8s?oW%k4~!6=T>!!dhk#sh8T_MEmx)*
z?b&L#P9Cb!h+eX<4Ryw&?Xz7-yI-B&f!}f48EvA>)4y9c)~Ub`VJm^y1fv`4WLay$
z9cb03E91jD#C*>jSmtA0C;py<qqz4fg))9JHe-0N&M3@Jq}MCT$-Xse6Z~!J{aMN1
zip5#}tq*a#cZd#u*JV&C)Zew!-+|rV#XGS0yYP+5*UB;3)OOA;eimE0W3=QpDbxk8
zKmM*30ciAS_jfTU+{=&<U-WlfM9nHJazcQf%5csawUS^T{h`i7ul6HpAJ-o<T7!;#
z{<*&cI}h;=EIfp796WT0uF5$!S$<k2${8E9_Zv+cQ><*z0+}l9D9pR|U<OwAm(xGz
zC)N%t?;s1wGF<!&IKJlZp*S3@ld@1iY6GVB;j_>>3;)PZs1FK5G`-yJU`BA*gr0O?
zakS36I)iyn-TDOrXwXjG`hv=|w|Tsuk`iZb8G#0#3Xfz}U4B_~?c0{(1>xF%k{4q2
zm|37U8L(^rETGr7VdE1hT>G|pNoO=Z4rFpLuKmnOV8b{Re*J}Z^3@mycMG4ubz81e
z|LkpUr+zi+RBx+I!NzB@iklt$<|pm}r6<2!WvPYZn~>Mxcychy<0N68g9BrdZsg<M
zFTVR{76DnfrJ7i2gl}dXzWd_GlSlbBCH3;-E}Oo1iQl^5*Ht4-k<+pI`Q^TbFYWSg
z$y&5pCBZ{hol@6Bt*p2ICGgbY?Z;P|X=&I=g}nW5G#b;_dR6_SH<x?+Ur)rji>fO{
zA#eYip<y>R?36L}4Zg;Vw?Bi6!`p8uH|%2wImwB)7$_FA<#eHOdHnCnK@ve1XNRe1
z&e>sgTLn2kz*?r19?XkWosO#QTjpkJ%`Rm0z<BB8^xRa9^2%Vvs4-R>WA65$-SDYb
zmH-ld$lMI<tB*z$Oy9O~5z!w?2uV)93L{Y&*v&|8UXUk-1v@N>Du%uNWuqH^RE$~u
zoO;_n<HtsGZmJbY`2msVE~-jO{2&w#^mE5QfwFFN*ok54+a@U)WE_%WDR)W#SV=NP
z(#J+Y3Qel>rSPGgS;|PEw@G<+IG|N=c9@F#TjkNbTd8Q@qIpjk36(_zL7W}NN;%84
z5@NT7<@njYY@9FU3R^XZsum%b9WjO)z8wP&OdK($qJ5nQEpo@zi}p+om~`V*k>QE?
zsA8q?`N%}+h%Cd3$dBgj3nsO!mh(sRt_Mj-4JT50b2NW$bqiBXEYZ#{Cs+cp4UFb7
z(e!hVICT!Rt4pB268|ua*ksA6wnXzDgoeGR&JnbC!I8uGT`(|q>YRQJCYraC3=+J5
zIx*RrnQb-E_UL0wZ(GUpk}UFO&{aONcS8lzpjm@^Mi&+JduD~Rs45@j8)ep+tBGBf
z6zHS+-Ah+hM0A2%e9j!MzuUm$CxLZU>2V9ZaOYv*@nf=9^0x~tla5V_GU3M~?4{UB
zYk#S)Jztan6%R$G;KmPOGe#)#(+3FO^I%PS58&c{4UD&(23OapEsLOn{!pL3?|Y}u
z5oY}kR0<8V{;$6SdjNxXV2MiL8&!&xFl#TL(sdX!y)>!ge8@36-EQrp+C842ZZD*T
zg{g*s<ctYyk0P=8a@!+9qhc)h5ym{JH0+=6YMtSq0Q<N$5Crw0Sn#?24(yE1JFqZ1
zzHu;mkuOm>7`sRlIwN0a(A6^|7a=8#aj&9TGYIoda7o6!R7*?IlWCMu<OgeQ3r%i3
z)n{g}e`f3ebP2044u6rq13QQF4lEpwZyX%nQ$ltJ%lFi#j`V8{$_-XiBEx~oyeHbi
zgyL?RXoFH8PZSY~{IVGCwwZeiBHaDSe$V%S!`&aV&9%anM!4HHFX@cNAA|*aFyZbK
zLw3I+{ndf8|DyYBALeFkZs_~0ZNAWV17b3mY#r_%rJfQQ`7TvgYP$Fb$o0eV_k)?A
zIm$*3sEPV6AN_s_fB&`!)WVPZYpgWFH_&|xfA3H?lAaF%DBdLs8p^02#tPN%04N2S
zv7_he()Xyegs)5VhmteN=Y7<%y7geJY>Kv1BVOMEuu}K0hzG8Nwj6PDe5DyFhR0iv
zo1f_PgPFqzPkC5jebgHba@?cF00ob{kJ9kmMO7oEP~`m#XxNP|IoBn$naFzvSw}q4
zQtrecE|bV5VdX*BnSG_Jpeq)Ccn-EW4LlZqC>8a`;(wRl<*WmJDyzF0#y#gkqNZr9
zz~tEoJHAr8@kiM0pWfv9!TwUtJL!pM8{N4_rAW-}M83PIDlzdEC>$Dre=d}Dqel`W
zq02~2204esSjvTcXHy~<{#{P9uY8HA=3rY;Vs6ql%AS=<{Sb|RsZvYY)+%Ec&Y978
zDzPLkd;kWmGQFF%+}t5#>pcXZRkrYz+Kpef0>3=N#}`;yANSuI1i8npNZ+SvfbOED
zrSG%Qup3{JJ_&9{`ZCx$q|Z_=@Ut@#x&q&+F?-9Gzx#90&B&j(NpWuF;DA>7c?mRF
z1B2tgprU;{w{mEti-()V5Cnd1<zTFoV_z%hR@Pxa4bCGQTU+75bG=UI-c<t3ljDle
zPiGd6ff^YfzG55WIQg{TIQu*;+L0BmMzm*g)TAWOEiybYJ?CJh@agH(F_vqCNiD0a
z{Kr`IeGF-?D{20`EKMwNd44&;5{PXfmhh_zevCzIsS9077Y-9S)s|x{TR;c-j<Mi-
zc8ul4FfewEg?<g@7|V9Nm@v_8P4s#tU1m(&Qug4AN=f+xE6JILQX5m-)h?pbQI9L&
z<PNi+>S@ltHEJE974?U@R(J!<m1@)I9PZE5_gYyu`M?4@y`jTooQ%lcuvYHYW?!m_
z2IVybu8-y4I_iHdk+U7^aGVQxFH{OW7w}1c2likR@4ymF!Z#|HDCYtSUcdgD(UQ(@
z>g5JiwR<A<)PGoz=3xTR=+PdeVNkdgt{QTGx2;*l3J_&6NRx_8d_N+AoTmqAlna=K
zGYs}5?4{02%Z}6M#u%SMhzrr)z5}ud`u7<@MmWTVK#Ftx8bD<*;gF+!>Q#h6_^ePA
z;U1hINGX>aML7K$Sc)>~$<RfMDa$&uwaLcrhH{Bch7gKZlv5v{iqk$ESAu6Bj8U*q
zMi#oNrl~oJk9xnv4K@{lSQyUZSZPGC69`B=2dTeAQc*C-@eJU3;_u|F%zZd{;}Sjn
zHva16THMvaLsB>NCqS*Nd;bb}>TvJlD{a{@G@9<-PgfFa61-cC#@u=iw_V&hKSjj3
zi>fNIkaNBP4ZE?SErSFm<Lt=b;&66Y${ioT7g9+iA*DfynEj;s*yWhNEC*L*=ZlgM
zxXpPI744ft;!V(;%6@J(KytZ5;?J;BxZo<wb!K_y%QXP}-XfIHKJqUJ3O~i%wSW{C
z0@ypf;&Z%0#TME}iX~G5XxT^J0p$Ajk@%kNBfpNn?!$`_^vk=C^pA<%)~Ht*H`MPS
zyGyT9VdB4>r8caomT3G=q~ZILuK$#D(Jzy(`Wk^*eM~5LuJDh2_I#y&9BBR%;D4%R
zwh}I3v>Ua~{7xvaBf03>cD2#0?wYP`QL-*pSc-qhsT;Uch0g$-6IgW2)}y|eg>fkf
zcI!9mW2@9_;z4qQt+8|mE0XB!fJ~<%ZCY4vHNM|X^Zc)1kcgeG_)}^?@_a2jK2#3~
zQyuRnERwa7_dd#Zw>G%>U4-YzNvVW#f&eqTf)4lL5;)uDwo-pt{r5HT5}-d@13i8W
zHbXn})V*<peWd(8h4rOQ+i^Lxy|(^3D{X(|qU}u*-}7Z&w$l8~**iVFJ>qSX7f<ge
zNN<DR`|u<$2oCSVSx_m|`*5MZ1H1QucVO{8;2TZ#q$569!<qwPSedYIPSa`W?6AXV
z*}dMXhN8zCk#?lIB<ep*R?Y4kXG_Z!xDk68_~~gGMBO>Nntnp<i1H4yaFC^~BXNhn
z19h!h-LCDPYR$j`HSa+p<Ch5q!JVz^kNh<HK+xBEKZ`p!5Vmlk*}Cra66(#?<(C4W
zp;)%AzwuL2B3l<D(7;n+524NRGRj8i9dt&j&-PDZ!hiA(+A;Z`XS4=gM)`)n13M$~
z4lLY-Zyfrq*TjTBGn(G73ht*FNZkr<^$9u#2BCIHc?VeqXG<3HIDZcc3kT}@Y*IqI
zip#>_R&l5LiS)r>h@{=G?PtOQD(-wQp<Wf2OG7agcdeh25-N@nXyB>vM^?q<mqq7)
zx}!*q+q7o<E7(@{+4a35UbF<Zt|y=%g4F>Zt>HbB7xg#LA?h8N_9akESh8%dT2Z`{
z7oqFCGafMuX8h*RorK|WznR-->ynkc!8AQk`Urs9XH02&&?-5vFEqqQDC3P^h~2S0
zMCq#|x;6D8V*t7~tHj4b_srh_cHst#%K;ryheII%<N45*FTRqjAbV_bJ|4wZ73(a1
zIaEzn!t3t7+1h-<eH*sZlzXb}=KM?JGogie4r-B`m-r?=8(S@n3o~{{7U~w7<OJC<
z$H9h?mH16ijwfHd4S$koDPnZ`HFLX|zXEQQ7_tGOqG~sqtTv-v5K2PtPi;zx6BVr}
z*)e`6QZgLBof9NnQ#wbgz9^hAj1w(Trw7fL75<S+nvHG)K5c$`E!v{E)o4m2);Xn8
zVBgPxeP2;v<G;ol$6U4)W+kOF-T`8!Yv6o8_|TQrHhe0nTWhl{aIn)=A4yut3-;L}
zgbHu?XRwl7G(ZY0VXWfWACDE$t_>R^Tbe(%PUu%y0(~3b4IZT$z0p-3D&H5wbif3C
z6Plyo*7E3)J6{>4>lHzYZ#BbxU2=qVJaQ%+?|DyZTd84SI*XZr4#(dh+Ps1+E=PQw
ziux}{+(@}fST4Cv1T({aK3Xyq9(JORwR_w_6MHZ;=bl)6t4;<8Rv#1MrQFcRMuCM)
zs`FWBh){4tiITwY*Dx0HHYrXke>H$HdF%@HOU}|NzM1u@fL8e#NTF86Vplp2bJ^}j
zw@7L%n+H1mB=dQpcC)RSF(5^c$H>(~4$~8o`KGJQ%HDBW4L7&j)qSJUKJBmDV6_CI
zA@TD>XLh>L9glW{mgvH#ZcZON6GArCUA1Z07fd%g-RKTT3_Xee;K4-xF`Ut;U4v_i
z6MJfnTk2gXxvSNhhId=5)1BIAw5!^ktWR`cK^}+9r`YUS&}wbAHCczU?8zDMpxth@
zCxC{TMrQ`A=<U#HNF;%8FVb+qQo@W`_Vimy9;xrDA?3Op_|HD>ly#H8UVzad#!be#
z$B!*|R^S|vIvm%iL*j4K=)vN>^a!*&{L*=2ubf|75X<31?2<YSO!wjM!0zec9awyb
z_(of?(owEPW0%C6jW+8pQ%dM4yw+${mk@Q=pzb?8Q30hVH9$gpP9;VnJr)=zxtmZm
zy0*Kw7(VVrO7+~#QnQM4dX1|4vb?fS^2$DgS3crL$xiAASocBx=Fj;%u=5J<z``r|
zrvJS1O`}y~!W9460D0x#2vwtN-vpH8l@agCm|>nn&EkTWvM+Q2Tyc^<RY4<L0+m8T
zwMY0nu(KBLz`|Pi#=%<4$#h@?&#EB)Rv-PTMr+3Ci?bB(C0O;GOh_8t+S$pENdeFL
zMczSsJ?ptNXrA?@V8aPMq~ALDH~Q%);a6wmm6W*Sa*fT5)U9Au#2Ce&`Y_wxVLBH2
zCh<ksLVu^f1G|Lr4lELeZyXZ#n5-SnG0Do?GBTKTC|+$eZSZ|@abukXOWPkaR4s$X
zH`<_;W%CX(zl-lM*5&(*TE=+n$oq)^wQ9lA@(Hw$`1>w_C3Vs#EcMmFjo_F4qv#)k
zbeT=(#{cm59e`lay%u!+xhzk{3x>k7tAD@17Eu4oPu5voXIiiN&!s_A|GtyUv^{>D
zpOO*_03*=AQ<+Gwc|PoMC1h0p!CGOVA&jRwzn$(Ku45q>g-W_Gjf>6}j~nXfss0Y^
z!o)kU=tO*@>BMx$w+!7Zj1G&oqL=#EuQl4znXbe>k5Le;t*#^(jb817<_DyJpgq$&
zX0M>-(x3_2a`JWww%~v1_`kqUO9@e9B$gC4$o!La%+UbUyRJiNDKR+pkv_uLdPnGx
zuDgjX!py99_&cym7w^C#UHHZ!T}#0+=@Kq_r;q%jMoR{lE9x(BUrc=ji`EATL!(o>
zX!+47AX;Dd4%sVOxin~^wd5?hgTbFV@IUrbQ9`H~aV3Rnt>M?s$kPf|K**B#Qy<i-
zQ*^!zn%HGfDRh-u=kLHSN4x`z9O0Y($kC|Lk}>i@%Ta|eG&;4*kspl$a&(Dz$X+?h
zr9qRU#b*evgI_ws?eNo3LW&q^C8g-toM2E!st(Ik5JR=R(TCpk4&AY4%@Uu4ty$0a
zcVL$_-hoBd@Qp*(3R{GC8*LekUtHP>T7>fiqtUBf-28wP5Vr@sWA=($E)ANv1z3ci
z_R~^A>==nf#4f)qo@z}ap>YdC0G5;%GB|5<o>&}F-|-H<%yxu23AULYu`!>*@_e5v
zK4@)2AjK}e0Z{4hxn6cK6OZ;Lk9WoOWkw4&DReCE={!UOGT}e)d)n4UH=EFceS8!@
zLyCDV@Gt|!_T|C3LUp8~jn`CwXNKb;{71Q7YDm5UzBr$_fWz)I87ujSVKTC3|0;bx
z{C8{-c*Wtrqp{Kmm+HRdzTUbws$AEEBPBa#r^YZey%o<e!k5sd#;&R19q7@hIXl*z
zs^Wo^os>(oQ=OTG4?$x_6*$qsKC{Ladi{)`C!RkZ41jukY&q0Qk3uWw0-p#kz@oNg
z;Kf%eC!0D?PkOPOpb#br|4T{-`Qf%34SGdGB)-^21iFi=d(A?LFRp@yy%5peMuv|z
z)HpsAfMJJm7Vj{u%zBwI@<}jUTw14)<XmAg0ki&4M|*D>O6Cfn9Zx}F+ZlX1q+kCY
z%}f`*3SH~Y$G1b-QfMbjMk6s?{HYJ}<z)sL0{3bu#iDcNiB7{C%h2$8sN}s2p<aI|
z0`!{)1N7gN8Dt31L#d7wNUM)@sQ<nU6`vjy)SoR2b^L8bgX}a|`jIkY<VeF_YQ51M
zzR|R}BSnv;+!5C0O3p}Pe-Ad0*;Z;px{iRKl`}`m`Q6j0sQ(CfbzkA7nT6P+YNykh
zY*f3D<qSWs$`YT2uG;RCRcqJlv*2FOyh>7>=06CUbFA9<N}F%*suHkjpJ+7bCLJf~
z;Z@K*q#z~&-9^<^yU;pvGBoUkh*oWekG6n%SM77kjFC@*7hipW=0=15P|6e8NZZO#
za>=03zM?GJ{#ARb%pgPHR@P{awemy<daeu&?Lh&(XD~qjL772@0Ie?39BK8D4)yEH
zQ1PdOg8B_*q4uuY50)7tN7}M#;~PzjJ63H=xs63vGC5gE;i{nNO$zeY`c*kITX3zv
z!aR~1Rp@{w+i>G$5B%<#aP;8TyN+2XtDR`F-Rg8Uq}7Me6GTR6Mc<BR54Uoj&%Tgg
zk~aUQF^%p8(YvOJW&hs@IqPN}Uug{EU6#}%tiW09K&wvr{~8UtNmrKr{~-e1MN2RH
zzl4Up5Ye(P@yS@h8F(D>WGQzhT^K6HLlVlQOl^=Vla73;`j;H&3rf`vu0^<q3*FA6
zbT5iIvMy{+wx$}*TO#nGHs@w`)!GOUuhZBKx24d()#yacS`9yQ0aDkj?HOVPY$7Jk
zv~s}`e@Y-poK8PgXL2{Ad3i;M(<n6Ou%hu*0ddOreO+iY=q6ner}K$GchS<~bP+V{
zg^0w7;S+8}?<_M$J_%lR#g5-{*03G;ohj3EJScQqWzqFp&3Ba<WDvY`B3Hm`IRpIa
zGCjX?Q1ISe7GAFbcYm2Na&#>Q9KO*Mh-1OAl-tysa+NAG>9HYLhD_@6m!b7JvtDo+
zx?DT{8ddPfCmD8Ir>nQ%sxpO1BW57UNVKP310xUCAy|=G5cF%YE4yg<4e@KcwuQ$y
zO3S6dcq%caW$0_h+`1LCSI3HF=wX7)YSrN@jf?zhGCeH|DV!~*WB;$woSSfE5&9vK
z=Pp`$5&9`K>;;GxA&E}Lrptii5HU-+CzN9!$p%Tu20)}tYVt+ui#ZceP^31er(L58
zoB$<px(0K}fCX2pPS)9NcK9kUTx3THgG~{$>_E6Ea&8kN^}sBbA@z|&js&Q3n$Fg4
z=JN7~5TFyGIfosGufhc=JrE0t`|)tBPWC3FF*n(Y_>2>A?xLl|=Uiym3lE8p#3my?
z8E72hV=1?x7`sRmlY$jNT+H6{#pSphzzd4Y)$A~9Dk|xAhra<CX}}@`F@vae8_0-o
zHPC0Rn^P!AxB(i%=T7+%hh(|zh(9HCBsX)x4CrMHAvez?q^t`MzUrIYyv%6KEewj>
zyqJh{7cDI}2{i15hvY_LlaZSYG!D73lsmr<ydyax=|^iIVJ4mV64uO_nt~E`bLL>H
zV&{P`q1&E=Q#Dkm1G!W>-CA`D*D6f)*NIw9$h^gqhYg9mDsaRGJ}xlZn5|8NX=q!o
zEN5o9=vm%K%t;DA9?Z^OHWO0#VM5a?h4?C53YDX=cJuFHqdB*5DRTHlBF|m4v>bi~
z8ukK2awyTs$YBN?ha6hUZRrbFNv=rx(;mp8No&3=ejsOhGP3AxQY60G5D<>%iLdZ%
zU0~v?BU$AB=1hXXN?cQ(B`dG4b>~2~Np3+f<lho;lEaZvT{_%6iXiZ>;v9vQa*hHj
znJ(9`qoS?3?(7`DE441sA4;N(=P;dPMJS}N<(vjJe8+-tBpi4gNg?3<GtV=QiNl;C
z6_>vf`y5Ryj^j#TEnmx_GfXSkH%jNVPgAh3(%^gcwVWGZVC-u-^vnDz4a*ib!m=5a
zPKb6DX7i%S?O$57t+-X1ZMSwerfcmn@^wQ(%duT>x_AO#P4Gw7Pt=S_f_g}fcBAzW
zwQRXU10JU>or6v)F@`x^FK<oN(AV-*%7ez%P~`)yt7WS~OqC~6CP+}9=@kQida@Z=
zH~G*)Oi!kuWF#p&qwr)fpwpaSC0kIhzAh&s#0>Jk^x1ofoPh!f#9j!MU`wuKw{Tx4
zf3?2@`{g0tf#vcLzR`@P^g8*e9sxBNpFv`{+h8p!(u9uVy9~PA%av+Uc~X!SAtm_6
z$lGY*4BG71mDm)x7YH>8!kxBemAeq4EZ)OOMLvEmVrIFABR?5!o=JxpvVB_iOFd)X
za|(_xgdrfV;@Ch)p^od&+Q6>j9OGX_<b@nIJ9Gym<^bnk$hoG*F65BBMR*6N%F=}6
zN8&VRV|pQ{NF6D3@vo4k;rJJvG-1&gysa=H7*~`qe8Dd?G$lWiQ=-_jPrMvg^=M`e
z@|?0`Fbw=?_gr%l)1#ut7ZSJAWU!yGg2|aETRokWp$#-CtMH#9x1{2gSc4@SPe-;N
zE*u?Qgi^7~I1($3aP{T5aHP!27A6c8vJ{Plh}`q+J<P{k2LfGiE*ZQV!p$gr^R!|a
z2bTht_cMaWr*78&8<@*_pJ)R#=kUejD|OCI-K`xoNFa3wn9T+l!ceillw3wu=T@UT
zuiT4s%NG#&?xO0_T<EsZ#n7-9K=O7-^fKO#40sN2ho#(!LEIz3OTx;7W;Odt*C*F8
z|5J0|RkpV%LV?@cbyPI}qM`I7a8IB7TaKL==Xuba%BOB_Q2Ywd!Ajv0@5@=0er@-U
zi%>%TgFhlD{1kKl0a9EDVDI#buk8xmELK~8CGI~E)`JAl;y>5{<odq0i|?8L;Dh*!
zzP3xh2ID{2MIRYJRXj1-nwf=6;mvNRXIBFIs0wqEz&CHN^6Xdg9SSxI%lj5?ICJr$
zMOMSm)=y=&T>}rpWDTy<v|SDd8Uil`X9>ycum$`iS1NT!S;)-Qgl&<48@R1bw|wtv
zW%7UYG7D@~uBRXRT|;xsrdVEV)F0~V=u5!PVd_Y1qVS`?Uy!wuzgviY6B|?UF9D}%
z@sF^V;$P9VzSOb(mPE<s+wgm)QiS7gVl#$&=hFv>1aJmUy-pYRYhb+P)IGCCZCRLl
z`a^yCe(9Y)M_!wsL8VaF)T%MB?AcvYyaS7C3g4)rTu;Y7ZdWoPDv}|UbyfA!q>l43
zei)Q3v}zxFTvxr27VOG83aHM+QtYlQHf3&GMQB$17VJ+M|D*!3f84N}{c~U+*Cv7>
z%niHU-+`Uic?T9=$2SgMFXFf)Q$5SuMViogxn|Jiwv_{Uxd<u2yj!J-GidY8aY^32
zw11{jMx7t5wJr3y@l>Cjmsls~RYQxw_JsfH$H50@Pk{f~k$5427RK$bw)P}DuyZ@_
zz{2hL#=-4RDX7_1^V6l;dumgM{9Oj+2G14O?LE;JEFf>Axi*OPu|*L9$uEm>3Y!5K
zAG0+5`eAa8ed=k`LMyv3Ancm^-Wt^>|4aRz{N9KQp8YS_W?x}dzFv!9ifyLSIgURI
zEBe5KDeHsx%p$IGKyBD46!Cd(_vS{2&f3<3vwfy#JKEiD%|Mu_(e1!tTDs1g`dnme
zqEuZe4)L#16o%tp21|s979B|2YnrW}a|rfJKDV_S^@Y>W=!#4$&ek<pX@qaP9pRPY
zA9LNIZa<?+$kvO3Gt$$9u`}dPxLS@ZtTxAtBmGvnzO&^%Y5k#OPjXD38jO_|X@Kdp
zhH6fR<{Y6Ke5IK)h6S#NYEBG+O4xs4h4q1-Ymnn-5}tzQ92%axsA}F93gv8uhP?n&
zC`Y233FTzKb%b&(<xULZH3?o4Rvy%z*;l$cx<WZ8<iLyK%D=c8QBi-!rr%`<bT81S
za=V*nywffYba!dE)&t%6O6_UDA<#cCx^oW<XN$|t%ZPk;QB`i@YoTyx3cx>tvR(j5
zZX|jcxygX%kQ+<6u#l!AH$fp&kQ=kFe7SjM4!i~B<|b{E?OC<dZKZ$NQcK#_En^4I
z7cS$e#FAF7Pr{&8zISt%mqCPteT*=)N*KOUd-6-zNzRok0|N9GSXv+YR}F&PLsw+*
zVH%*jXlWVz7iicEG0C9BHzR`?cpWlmDR+`{?b5K8=p}&_Knl&?@}=;@IRIy*(A%WA
zHZc;=Dv!RS2^$!FUrj~(cDx}vU6&9ymmvuJ+QbM}%CWeW15LvidxNwuw!N<~1ifWa
zF7OtExj&=GaOjN07}Utb1&oabpCuf2pJ(YHcDW^DNpe}JQhO$cPMULjk>QEi+J=?F
zXX^;}G#Pe3C_#H+o#?4xqRT2W2O0UQ?Pi)$FV7Q`?94AGF5)2Cg_y*zOZY_`u?sJB
zkVZIK<m6ip(p(Gb#CMPe-?M`>uYrNFgEaJOFb8R_s!mO@i!nW)o{{Hfdb@}t2`YbB
zCb`NcQe(2^3ORnqqfWOy8bOxb+C;T89&Mk+6S&ps9q@Q(w2AKB&;b;A+`Xb+z>%#9
zjk-F0qRZo7z(lG>k<R}9V-D|<b(8l!$`6v94<|;q!1<wV)m=5bftA8x9?n=Fj6XAg
zm5-~l9A-3i{9PKvUrx=6>EM6qQ}JmDr|ravBe3<iP$~4t!k7FV*aKU<1502F->9sk
z99dWjY|6%(T_xz9KJx!GTGE-Y#J5nWkKmBOcL_tIQ+vROq2boj>S=(FP_qhujCjR4
z!!j#*alth5Zymft&d{eJXdFXODU@xF_IF@s8{UD1ZSakQZ4TDd90w%JL90YDBMHly
zM#}~giXErg7M`;xX-C1lG?oE&hnT<22O%!>(`yHocaTNJB3IY=J17oFF}ccO0r7eM
zaSSuH{cb<0J}eArv<t4EA0eKx9?lW0f8PAF=PUK)$>L3t&`k!DJ;zI^_XAqFG-w~t
z@|^=G`~T&BN=ke_ixFtxsc=bFyXBX~aCmAc#2-dg--l~^@AeKpWXb6H+TJ^X1m9-S
zh&0<kNa2g`1z-jiX|`Y6ON}7d&ex}4XTWBMLVa(?iGpibxq;be^VAeXV9CD0Fqavk
zl~LIIf^uPtzl75}96uC1%Q%8_>mv)=5GCCIkq>#lgjoNh2)@FF@NKLlc?Couo>NkE
zfNBC2Up&P6WX3=hupG$;4LN~1PwlE<Hep~^mMqxhFJ>m_@zVfnd+C{szr`lnZ7iss
zgU`d*tr64T!V5>l6kllukFj>^5mQ=X`6_8y(jOm8HoE9|+~%=R$)~AQbEr_f^C)Q8
z3lI5>B{mtKaRwTP&)8CKeK><iwUQL51lq^!HPzOx$mg$#3*4-PbHXE^zo4T2$mb;A
z0Yp+Nq?V-{x+n@*B&vy=+l}T_Z7-fOz}wR^bJN|%2C6cI=MO-P;2yPJmT70>Zm8U8
za6XiOOC-qvxhj|!y*wg9H<uHaT0=MZs&68++i1)`U0j4Fi8yyrRfOUVP&hR7S%<P-
zcu0gKHW?AhK;sZ0OS!8Dz)g}vl0mc%LTQd8UnnolnYxTndYcphou37WIu8}#f*I%q
zeuQa-e&xY>7YtpM8#n(V2t1(kcC3`MzAFJ8-##V1ulk`Pl#rYK{Q=X)0Y-`o0qmb)
z?q(O3n6ME1mH2&CVKz$uEpGM=K(5ctj_;Y9{k!;!?yJ(T!MNG4pRCs=Z=Db+5&P$B
zzYIg@5ZW!5^h&3y2Zwvp>TuVauXJv0%uZ+rCdMO7lMTN1t<~v{$TB(6YEFnul6nER
zH~tX4E8$r%A4|<iYwM!3e3I+;%l{g<hDrUSJ~5W*mp7p@Zcc9Qd79X6L2=4Pc}?;f
zsVo06*&1R_ZLjoseVlh*9Zvqkp;D-~_9TA?c1IfTz~ZgNH|h$aIQf;NqQ;H}Y&ctv
z`KK6dxmP3An)3K(Str51*(VW<Mz3~vp&yU}?!p_qWA?fWb7|1rh094z2}b09>AV;F
zX({0_WF)#5M%7`sme5xu@7PRoUtObS1kaLwmv2xkZ}g$Rz&mt@*gcm~9F(c<75)zF
zV#hnMh#kJ^m)PBFv}Fi@;@=&N*u9xxG<vm*oga__V)qH}n7v|`OG8ny`?8;w5@N?l
zEFyOKWzkQc8V>OxNOT|k^#9`>{C@G%{{%?zdA|%ly$ysEzWC>0Tn)@me?ow%D(-^u
zDI%xwFSx}A60#)Yi>)Y|wTmu5TVH+<huuZtxmY?;6~0D5$D82;h^=O`Hi=*PfN!+p
zw{tL`4dgmz$=0P$zi;hHbsZ0%4V*U|ABq1INdvd=ZC#qmb$r|~l{>OinSa!C=t`0D
zUM9&_A4!~PmoZiZWZ@q;4J(ZZ_5;!Ci~s-ftW~Y#`p1_MZ4NLNpzYJ}Q-buNPRQ#&
zBsQ_kcF=<YHshSz54Kl2QkMiHr8@JDfLhjY!G-X`5iY=2D&zZ)sVhdf-RQo_XwF!N
zmDOJf80;YO+(lJGp-{l!W@y+85P3T#IvH<g1{{aC(^BsA!aO87ASqrKG?+<4x`?>K
z2j}O&u6QcXrK0}u!9x3b#%o|qD(AcT&&xt0p72V7$Qn<;S87i^%GkS%=G=rUGWK>N
z&s|iNvA6?;Ln8|JLs>6CBx4etjErT#ambjZTz|fHk;+|v+5=fMY0a0#m*-4RMi#wI
zim1Uk0j+YUHZHS)PVEX6&9@C?R!b4r6JOJih?7<DQ)o_=4mXb?2s~==W2}^86)1*i
zSkz$Y6ADm5QG-QL!)NRx#T;OyxDdep8Rk&~VZRlM8VLJc0%(aEbbwr6)BxYJsKExn
zfJF`H*I=Rs+v>IH+5W`}Hun@OKw5f;5ZJd}e1NX6Tr6Xqvh$4W4_%D5dYRYn!arZu
zP2Rh}j@C0+49ESF%6jISJQfdFid;>K@hLoo=!QrKA76_&^uY}=De<(Ptyc(9mtEEM
z-1Bk42_V6znG83C4TMwy#hakDfw>`$w7MZ^VnKh>NkKL-v|~M&W1H)IIA%+&Gudun
z4*6;PDk5g}mmg^BNS{JpF)3y7OR?wS_{E$6p>n<J6`c}XpfW{pzfi)hET@-W(uA*2
zv2P^6(Vv+r<io)uKx(3q&e+g)`dF2vn0n7PorylTnoiu^Y~o&BbmHPyVGWk*KgGe~
zDCwIm^o}AV3R~!2tTe)vmm>*{GI?RP&<Bc8LblNRpoUN5D7Fw%9B2#uc|fb&77|k=
z1T)oNmK|`+Pf!STA_2_WLd@mh`C{0&fktKveFuNh2@3i(7+dH%I!HA!Q=Oef_Y~y^
zDtqn$M7A|sYj^iSlJ84<GKw^!da#a;x2^_8>tF^|lvLKM#VBMRYvqa51GL-tEzD5Z
zZbR4zn8f;5vR3l3N4bF%0w0-6Y4+-av*>~!!+5I0c*qldF#4^{6wLTwY=)>w^O7%{
zYD~&69Ik+T>-eYM`_bOs)i95J64QQD9TEQw=6GN>P6$_XW9Pu&Fftzgmy1oVtu_L#
zfp(*ITaE5>5If3~!>NIgQ%dqk{AA>h;rNNcY=Y3^eU1Y{xC#2R_}Hz1oxa&CmlZ)+
z*ee%fr4cTJ`S!{vDgeBW-rmQ)(gj~~m~2$Lxb_jJK$1K7@HrkuugM@(u}YG2l4A9M
z$DUCH0kV^Bgc^Z%5+W67CtVoODz}paYZS7Rgec32bJ<C&#9D0ow(5(3N@gj&7=Mwa
zM85`ODP6(&qi-hC1-+X{z@jUz=+0MB<!k^3y6psgC9U5q?uCNALUv9~JV=J!i#y}|
zl19-RU^0puMX!~$lJ_rIqX=*_tf3W*X~fw!@u$=gWJbPQj@{<r@!LNsZt?xtjA8$*
zo^EuylzBstaL{;^KGW&=ke3dZC1j&Ov4ma&jSkEb^761SffhDD(E@xApP5|S=kToU
zBb`&$caj6*uV5d;@x#GPAncq20N*dB_-0S8^v%HeK@n($f%84AG{S{D-@rKpg*$5P
z=GKgmdh@ZI_QZSxEbyBmbdnkJOQ;cOhTwPt&5-W|w93s8F@c555Fu3(-cn}BDNhn+
zNCkh98A87XV}?9~J^+Qe!zZR1om+bjV;LW3>+Rx;PFoMg$t&!}3FP0KNQXYvXwO!=
zb)ImF`fgFODK+a98vI(?sZguSxZgpNq?$zf*UflXT7M{|jF$P$z#hd7qfN5bf;%N>
za)V(T9b&#`@ksNr4&s#(j^egb3T3<<n<0AMBn{#-3iA`^iS(mMYt$zA+w}I$O8!<T
zW%;*0#NFN@Iu88rf=Z$HY`Xpq><9jN2bKf>_(tVx<(^HN5g>cb#*!i6WkyTxXqYS1
zS^plr=~mlt_IEy^K7udVyofL~I<=qnXK18mt{D^%u0s5@)=ku`a(m>209BP?o;7ME
z!9n^%osI7EgJ~bv+ZnAv_eMV8@4(JRyaNjx;Ts1V9U`)3?I3N=vB|Pjn)FJC;tNL8
z#uNvH&<(yyI|^p5&t;HxXV?0cpI$q%yn`$%%m=O`@>72g#Svkh^nivtzt-|6>x^N{
zo(~N}K)pQgU`g0=h33~9@e=C2x#JfLph3I2<BPhIsj<;dNr`(qj6efVg-x;wFTX4v
zn6a(N`sb#e)QiDpo{oi3RO$9~3A(}yvFa=dT&qgc6)bd@0?EEz8lOY)eJR`2q>~yy
z8C1x?96R=7ZHB=p96TR-lsgQKoy3?i3^)|B7$jkwtK?iC&)M62pOflTZ-Zo0)2&Ge
zYP6aW{2y);r4y)JWy$*S9J2jz+zIA>;UzjSCTW(B8zw31D5~Upiq!i|e9Ndlk~otV
ze@PLLg}>-7tTe(mI1YbN@f2qe%A&n?n$8J#-WV%G?aZ7_aMKRcW$+NInU^VS@AKy1
zA*<H}W}ue!uF{{u3&&k0e5IM2hT&8wwb}cO#taihStmgpL~64Kh&Xpqb=@d*Q|bNC
zuooV>MIo`t+@i=p<G4j(DL3q63(4Jyw-~4wv*mQzF*jOFy$r{%%>ff}=jqGtp`tnW
zkJQ~3oQeV`5~cQI{-x@41RKn`nOYOhDpI_7a(Zs6MiFJK7&XRfV-b1QhA5j^YpOOK
z(V0eZVU_J+^jm)VZcccVR7#AaD?fpes66cEB`-UOTSq@6V63-}@Riz=X;<meqMf?2
zZ9i80p5C0Ba7A90LM5O1qRLDBIUqRn*3l|x*b5NJi$o_QFBxzg@?t4>N&grsm99QE
z3bJTYoiB^uCqDAesV0lwCdK`uR|mApugBmT7#L%CJ{8ShxC8GWZ7ams{Ql7;SSe@8
zR?gfWwk7=<08=u;9b|cva)sq3%<j%21XHZ%=}^NbhA6Ro9&liNo(JutGF(M!&*Xr~
zgnCwy;RzFJFIEblkF|z<&t}6gCqS!a%IT!OJebt7iY`k*zSc`<3ca#ST=CNUa)K)m
z-a=gAR}VY_C@k|r5kRr$lCzzS0J4?Db71>(ph4I%q`!rMvG^bT8ch6eg6shbf=xGe
zwc#LJze9jmggRVuVsxCm9-@HLVLeoukVuxIfRxEDlzf}m_7vdz7npz5NODV!@Rs3m
z@PC%Il8-J}M~0khBgS`FhFj%Ym3^b@!~c}H6p!?!n8x47W{gPRYRNE+nlylCys0R$
ztYuh9P|yC*30^$zoqoIX`8PmbXxwhCzXQ7?oOfXHZsQx3U6rvGjN6^$CrsJ?s!Nx8
zMbU__6pPy(2i<2Z5+B^|1w{xZ#_fJVQ<E>m=*G4&+`@2U_j~I0gB#m6-3pHxZfx7s
zqzn*01hYIaH}=V43z*1@bwDft<jnpO*Dblu>~pudo!RE+5~AB%cs8G1>tMEz^lSIr
zj@0Gx9Et?ExPv8w`JhG)oY|Y@L*GAM?jksgE!tgJX@oEC4llQ|Wj+Ph?$mcpf590^
zlff7_8J_Fhb^mq21JJfxP|NDGz6V}7eAf6%Td|EzrtXDH7x8uMAdF;j+8Y0*(U^Oo
zQ+#mmCgR*h)%CrQ&-$;RVJ|%7gOk`~d~g|P96mTpxg*`|AQ4MEg+N!Bt)}aX%U}KK
z93T}h3i5jBewm8)&71W@Xinuf_q-#y+?(}%tQ0PqHn$Wz2xxhe&WGhC%)|dHLNNI)
zenp7+2gbcwIIup?gXX!)_hudaloIoCBvuNakBpa!$TAd7zBlWPU{Y0;5q}ym4s_e+
zc(b4(O}&!-*Z@>zb_$B=$X4><_|*Jz!kdNg7UBx8Zit093&>X`&tHkB9}q^DoNbFY
zivad`v+zChW=+Asm^X`l4aS>wIpu8aU)q85L!CcX!<>le!C!ThuhsHt2A&Nwp)!M8
zTZ!!}`jz&{TFKu$%Kb_{*bIl#az00FiQs?9Wq}NvL=L>T<0u6!{(WqQdQZ~{oa$jO
zB5VwuikD-!S9pp>A?bkoTOwv9eI$S49f^9z%s%ny7*hQaccIaNZFqeWfXWrV)VQ#@
zk#@JY@p;MJ-A3AVJmdp;REEvG;FA1;k~885vG?KluY#F_t!f7X@b5{1&mO<(o7wxB
zBFGA}_fuGDgiBohj`XN@tvlCl!toLK5FYUYcs4rSYI9Qhn0-YgHzdANz$ITTG8VFk
zABGw^Hj=P?aLj?W&)){L%55Jp$%P_$LL}uBWNja|AN8gbSay!EewO1ey30qu24nqP
zr)LB2TV{dYk}qjQ^<WLz)6^KPm$!<Jff*`p6&)pOEzJBZ27HEfbg=Q7SxLrIsXNG8
z+8_ZbZY`x?#-rGbVJ(f~f;RyvJSJ-${DLPLM_b_8m1@qu=#J=$R#R%dF=j6XSJOxH
z6z^zU7L#opipBI;Xmnr}Q;3uZ%V|Mo6f#(n9d>^lpQkbwl-8gO09Y(2qoCxJ_-WYt
zaC}`bvj_|7z?p!n(+L=$B^4JzSXffGV5JeRQSvRR<5f#aoAQiB6;f1kNfJ^Txae6$
z#z+>{UZ@dhVIdZQ7S>citK7m8lV8Zf5+W<7rj&*C7NC;(m)?rM$ikvugR!u-Ll#*)
zyxsE|sTuf`P-_YjTW;~}=4rj7j6b#ZnANGl$?3tWdZ({lvLMGJTw^!4+tq!e(XMKD
zvOdvi+ztn%8qF?z6ZEVzM=`f9qB0@VCE#C}CI~9PmqSIqgi-d%B=?s?N2A+n?Om-7
zG|s;`dTo2I#!g{Di?q9~)YIgUE9Ll^Wg`EUQb#t)M}Rflrky__(g$SS<iSU|+sinB
zHYUL#J1R{~a2N8`?|fGIWTt1O)*58-0%^X3WmrIXIM^ThJbzivmCg2aWIFgKs1$l)
z>RbK}>?fvp2bL34_(tVR<;2u#DRXSV*?@^sLPz13Myqc3t{N)woSss83cefqGeXtq
z+J1(L;gj0OW{6YxBJm8>=c!pG_rVc1g_Pl(p|q6XAN7%r-^eC?R)Pj`BvcCJqSO2x
z*tv*zVBsQs<KUvDprT#;L+|vFZ#G&oMy>?50y&5J2<DkhgrU)?ooD=Lz%C&4j{QyE
zA$#xG=hC3vv0rl5nS%B3rw;tApNbOq>ltw+h3b^R^*keIYmJIx#F^*%@L%d3zC&-{
zMch&kN-gple+PDn;~iKe4&OK=ZmnVYaEP+%+jfoZKBHYj6pG7V!7LhY&p_(VDe_T2
zt#(Lx2U#@eY?00spZ9lA9E@UzfHPPu8I=j#@uyDgzx#<Th=%Qp;Xn5GP#lheUkuOS
zvDlqqWyw=@`7rp{hlZiC?AqTinFX}}QC>p5+CP^DP5b9&SQ+(GQep*Q1R8iMY~nSm
z_U8x5FZ2%Gq5U^QrBHk88h;0NcH|vcv_HOaXn*Asq*)zjlj?@imLVz1bOl;m1*N)1
zFdDtuh0YI10ik=5cg$X)%cVgRy5(D|(;XQI;D70Q`))riCB%-ASW@hcu(>}nR@O>h
zN?2F&Z+&d<@s7<QSN9P^gjrP|@poXCE8c-cuJBF2<myXCTLy;@T&})AFdDtu<;o98
z0lE6Acg$Y7%B4Y*t7Yhv6U@i{&^d3}x%y1%IK(BSiV;{us`AU?J*(8a7k>`jCg>^C
z?^!9iCoC!*t$o83Ji$A7HDnm7(y5c+UG%Zgzb_iV*L{(d%Z5OTUHl-RGO$?X(LUd^
zxWvRKh7L--59jFU`cjyrCD|{+D;G4*y^?vP#YZ^caz-QlEZi<QR5umvX<)`7I4*;3
zMaMa+p4*Xv5nqCQF&tkM%pM|0xNzOhG-q4*fML$Ek->haxOzqrbVY#hMyxa<_zZ+6
zp35*-@f25d?LDeo*MzibJ7%ZG(4o7v4flp1TrxFwO$|ON)ESMMvt!MvD#liJQbHi&
zMMwbzUxwtq6yVgk*;bQT0eXU;T!;9cU^vvfGUr1r?X0^<=+l80j;loYN?W`QWvO2!
zT282lC4~PaMTMQZH5$~{5LJzWoQM=yFC_xqMOBSk=sM9KLc?B&=sEzyM;mG!9}2**
z=+xpJ#!~T?GGpYE;Kg^1%5MT@{h^Nb17#@r%K~V}Z-l~uH!<SBhO(v5PP|T<&y^Wu
z2;8fsKntvuCpysoT84(NK_%akuCjF@puaH~pnq0okRd=1rRq{3tv=GBUU{CblH6)R
z(ICs9(m<eI4Gov#>G<1<2H9z7kYme?ks}RTu=PfB_(s#>j$4nGa!0yXE;%iUrx2J%
zW~-?gYK8=vX*3+q<_HE(EYA!!Lq+{r`bN_*VN`+88Li0lEW#5H_!$(wD8rgg3~1c#
zRfCFL>8p<<5VXQ=3!XbK--yNeV&YtDwmp2MO{;hDNP~uO&ldxTI@wjDu^_R!iHLI-
zEv>;Op<ypPv@lC-G8~_Q#=-HHa*ua%h6F5emjQk^+sx<p3v*yB$nX1%a9vc{qMzF#
z0gx#L(+`wmlFI7zbZd|JvNmo}qiQFr4&kp+mar0kRyy_8o{7m;b9ZB^2A2^!o9IN3
zO?WavLM}m>=Mr8LqkDq+(aR@7j9x_$Tg3=pg^STL#8RwM><^vr`;F$@(xI$R?<Dfv
zMN13PUqHiNfJl%SI^h=Xr^<|xPk~=a!QnCit|fT*<ud&~G$?HUxh%GRd-g|V1{ngb
z62@4U*uoaSEz|R_2L<oq&1G5FXIecDT2-apEpv)^a&#@G6~0lM0}Zo0dgRVmnvrBn
zxoZcafu%A^2Gc$)aOPO@7q~yp;gNz1+|9LiyVX|Dn?@BpSW4?!0}{4?Bby&e?a=A&
z8YEi=D{oH~uhK!Td%5Hd%``eQc=ol11*6%<Y;C&1Z<!cI;9;3gg`%>&k+VQ+*_L3Q
z^QvmGmYoO9Is7&FN@GW_w#`)tHyX_a3Cs0Fp1Wx2wQL78>;;I{GKo&cD9nK4kX1{$
zEq&oC$rVX|+5=fMY0a0#O*zw3P!`YUQA<Svw@z1Yp`8D<Zmm57;uP(v!?}1!{15i!
zY#Yy)!xh%<9Ef5&YPR_KZ`}tfgP+`5lz&SMNwQuM%%EPz5t8)>gpJio#8-WkthXA?
zxy40UhTcr%xr>&TthYhKUVuolBsv+%%7EjLEK9l53v-L)fTVa`kQkGOe2IBk4(u6;
z@ir+EmB#^24xUm7BN>6$d#-2xkef4+j!Ilpo+W{a%70LZO?hgk?_s5!z>5;pJ1BL&
zurG>({Ath93D+LOT>hpAd334jmjQFhQO9BQ8TEpRoQBWWb&gx|kp(&WkH<>k=qvkK
z!&ZQ4u<dV84<@RtI^x~tE2L2%#pl%pRA|!I=a&<?3J|?QlkS&wev?iFOAFnk6H#$F
znc16kEGpp1(}dv}c8_in2FC8u(XYYWqq`PFnP23FrJb&s!JqiKpY|BP@YWf_F#QC&
zl_z|6;J{F5&DPr8eQ=rX5-eS|A-pdoY3kud-Epo{4NBwX(-hnR)1#UfZc!HpJTZCG
zURmo=pH(yfJtIrO8hzqeuvLF3R|YZ$e_x_uyC>$q511kuzYLo(aul3K{K{uq%Tb^(
zmyx1igC|9SrItRHd%R;&<K%XJNJo(>sJH`-4(!xVfPA1n#?(%a_5}7Jyh?{)=J+h-
z9$Y#$o8d|2Zke7Sx18jX_yO#DIDT(1qp;QR07CySQuMP&kouP9>F<gFER3*EVx<u-
zg!#z{j?<D8sLH|2_7qT3vPcq87&z!FMFvRr)R&<~j@>2fDFh<Wp89w|tK6OvGhfJ_
z62dCyC2LOw<bGOufv~8S;V;TeK)(iKQSEHkz`+6r6WK}=Gu7EySbq9vT3y|fX=Np@
z2OH~DtLAm|Qr_4aftf3AY#k|UC7*eerwk|pqhWPD){Qo72pw;w${{;!R037p4og9f
zPs3&mJ4`vYy)Ib+1{MZm_1?$5y}K+YTfd6sbObayFw3b3*9#NsfZ{;1rPlFz%eAFW
z(rl?lbE>u%9m}L3BRGuEnnD9z1ZM(EOCE}^M>>Y%YlGQH*i{GKlw6fg$p8(kMiHci
zfwdbejc^^2Z(zZPi6`+x*YF)QI@?n1bXt=Q`1UodrNluH{}VhUosh*UNe)Vi)dOC;
zy$Awif$f1Bffg7d6=;D?2DHj8Fu@vyEHEMBa^gx^V1Eu&GN0C4@E2KN^lLB{*tPhn
z^oee30zZ)6zXVae`LtA;da$>iWHl7j#^IaB^hNLVyLmDTqnfd4jao;jUj3nz53&(H
z3{&Se!Ti3O_shD;2Oi~yn3=mthlz}vG=b9^6>A1!nno%6QvK@O%CPUIe@P-|v&<ZK
zN524-LhodM)8B#p?kMlTa(5Kps9d6CQlisg6dcZmEi5O;eqpra_OGf@3s3eW>Ld8}
z-v1DWMyK|RqYRDI_B0Pk3x6NxP5PXzS>+b2D2sO@Q>lqRi(nx08FwP3Xq(^d#!wKw
z)P?x?E&B8r<5LK6ff}E=6z-3#Zr65q;Zy0g?mX`&7}#Tg1m8l)5fIlRZ6Ksj#}5E7
z12gmO4pL1caO<8=5Shh)jdK-pH}dprV4ccdd<3foFGF@_Ym<%L4Y+kS-I@fur`41e
za`B3i3*w8B1BT<R!Hgh`<pr*|X=*OuqXs$3n#cXV0=c6I#KKCx0V|CNb^<}MT!B;~
z@n`W>B>e=MU=}ovkyA7L#kj~gDi^pK%?1xi4Fzw8TGnff)9}J^EDm33>xi*tXeXc9
zSJ3#mBg;~9m(iG8>jATiD~!)4;@m}51zG3{<BOqTFFbT~M`DvXx|4y%adgL0?)U)i
zkg6gHDGjQ`>?hUE=0eC+$#C4rffi?hAL&4O2;2)@M@9P<MffN*r*fd16Odefl;cBK
zDO`Mg*@*bM3IKnh2qm=H{5(P7r<enb6c+;6JH6sFS3=Pi+H8u2Qv#UXY{q{A<R+fu
z6ZoEOHGhS_Xsb!T2D8<?x>M^iM}Mb(8_kP)^6;k=^{~x6$G*)>2TQ)Y&UiH4=yV~9
zj?Nl5%l*_e<G;Gs98zgwrvlVRQsdA*^N0(5a_8S?9xCfT>OV%5*=I^@=a~yV-DMtb
z0o&YcI?Jeg&K0a7vD+7a>iC}~F)Xm-JOwI+?l^zX-+_I{$vd#@IPs0Dr<EP&K?--$
zpewd*5*9Kd65EY7-I`Rj0^EDgSIzBQME@nrsJGzF(q#-+%dqi{Hf$yT<{e^&7vEtF
zY`0O%7?>S<KM^qPhHZv>PfM6*ufOkry{GXp`GQF`*)WXd%f6#$+-4M22o$??+|i#v
zQ)B>XDT_P$R6oVXBN~0!(Z8{0RD0ghzb*^`v7@(vkU||F1g#BhM}KV2x+ZfSvFV{r
z<G~!^+%VUP*VMYS-C}B%!WL#)Be{nUD=bxW{Ar|OIQ}FjMi^FZzGKGrqyOV@-i44R
z;N$5841U-C)gk~3v;SeNG{R*%KelxNXOIf5PjK#*n@<~}W^Iqilm(aDY7M%BBO;{C
z*y6?6dZu5&5equs35!1^6On!O<KO|Ro79g&E$bfsKjDRA509_3CCXSQ^gTRV89C|f
z51sI3TlMC=tS@%)i=mRw+o-PJg?8~PpkXgSw2Nox7z4#iRAPl*Mt|r79Vs(VJ`a9~
zX;l^wTbAgtGCiMG0OI&aC>)x7=yWI>3NhFm8AnNm{~V4IOSw}E2%?<4q)08$<z~O>
zBIt6Q{09k}pYi#=9#vA{zW$3;v~P}+dLbs_j*}Wz3fG`vj+1>wC?UtmZBWCfE)>rc
zQd|gN@AL}CiCF8z`tGm9zYi`f6bYckaYBOUah%|L<~VsX{vyW-{TiU-gf4YIsvIYb
zq8=P4PjDKTe6Z{vb`CDbV<L!AJSO~+R5`Swe-I{2U1xRu;P;rkPu5+K9uonP8JAa4
zW=pLSm(RS^d?cbthWZNrr;hkT614(8lK%shLVYCv?(e|9Pv;$2oCWws<q*Y3qMXk(
zYzN0S{^v$pI=88(HC5Zn?Hl2~f?$`(e-VsEul8*`1H`RD)ouJg*qU{0<5QuD{~pok
z!!|y;NS`5Nd<r2hRD0gW9}Oh<);=RJZv!EPI({zz^E=qab8*GZFWg(=(?h$+2XLlB
z!t!Ttri5B^9hUw8eAj9A5lDalspojkk!Z3t0|{Yk&2C3->&sP^+9lqKd@vku31)|d
zyv-M?mVG*QGaobfS&m<|XwmxT%|Cm-QeO^B9H`>>6y;I!tStaLrhh^A%I+4<7oH2<
z-D*Q>nDHUjE_@OZw>Xud2>w&=Zf&B+V`F3MN9i4XrQLj}eQ-2=IkcW{yf>)yjCko0
zd%c`eDHA+{F~QS|FhM*D1Odlijg^kMY$Y(!_3#tG+@w&-z^vo~yxoA%1z!d_2W&Rb
z4$=D%D4CB_Sh@_Bb`P+u09cwXSd?=W=k;a4u!33|dgRWx0^=#ju?H69@I~stkMCmR
ze?gJ)!>&g1#Bvz?oiup&>Vg}bbC8n+PN_<_Y)a#kHKs#!Zw=_+IMzX(il(T?&%)=-
z?ov1N?D=r~=CT7{1$42_{G;ImXL92&st+8c?V9j`3r#1d2KH+y49PSk-)XahJGa*M
zjowzBo`b{gv(-ksLq6qNb+T?*grb=_h{aNFET#c5nGYP2uUETKZ7;@YnZj(eZ41}_
z?KBnYPvE2u#~&{{x2vJDz!Q|+;2p$YE<&kr5I=;Kq&b3GIh)x&<$xRBuz1lTt{vex
zH-*+W&|=0fL_iwPZne?GHLn^0j}Ti_qgxuc)zXw`L()8ns?DjW(S@v_{1OEmDkQEV
zYo?01@QGC*Z)j(3vOd1hj%Y*ZoS`*-#@XXh<-)74-hTDQv(`t~HEVm}6lE8Ni&sVf
zGde~|%fCaxM~Yr%7J@}D;|pO2yktpgsw85!$d#D*Q*t|P*Z(t^fmG+`xlqgMfd4MM
za5&)cmA36Oc6f$g8gUV;uq}YQ=wiJ&|0?n@Q}Vwd^4vw$?MxvD{1TwX3lKTrB|7SY
zLer1|$Kf5$lsivYrb&#5?H`d8^Rhp?lx!QHfHOZFA6J9{RLf%xR2Ddb?pwV&l^JG{
zrn)cL+DGvO1I*PN8C|Nhd#y0l3_F{Fab{UC4goMWLS^4x8_lp)fRch+kVlxD*x$+#
zIc%Iq32<EsbYlM_742J;U`G-7#4>sVRtjE5#R*DgQ5x4F#7j88T7(h;xDhaW;`}NV
z_1lsYu!O)wGl2a?`CUF?@C5Nh%%cRt0U`mkL<t@X<ob?R;(Hb)cs2f_C;|N%OqAe8
zJUFN=!2LUANuLEOouVp3SPwCSXSrhrtxi`atD@vw6Y@`%t0+4FXWk>VEqCPMFw4l8
z09oG16@pgOcLPhP=7zrL`{NMrlyx8VxrS^9Rx}>X9N@f6os(9(r<r4hKpM^Hd)sO-
z<Pe>3VT72EbvF2voXP^hk&i>A(BQ}y{T<kYBfJAka0K6|Y^wxEo?<_Vt)haN3j{}8
zsfri_%doh?AnB=19qI2Il<NXlA{5gTZNU+o@6cQu#M&b`Y}VXsq8h>Zu&r4oa3ad$
zLCjR$#2-Qs`w+o7{1TmwjPWUis9PR2F4l7dXDyK6vnq`Ujtztq>iDey%)lZzCx@+h
z@;oM+B?{!c4JRxlkaPMq{5&SgYow`Ya+o;JW)`m~<ud*~WP{=ONx|G80yvNM6njF+
zZL998VRlf9oxtKaXY--&7jN9QA~=g}#3fj1giC(@aZQ%`R2p6^m6tHYocf<WZID*N
z>zKff;9^6z)0mM~3gbeixx{jhlKEKj9T{NNU@%n2$(jGZysL|i<Ep}mll8yXjuWSa
z#9|Ez2`IKJ#7{^a0--8u0xl}31cWu(pV^%m?;rCM+b_^a6eVy44;iUKidqRCc%VWc
zBq}JP&^M$CsX{_LQUnh`C7u9@w21GVnLB%DygQlcI#DSPd$e=^=iGD8x%ZoU?nSP?
z$kGNP1|Ulm6|<QMI~PZmPUbL}M@7ce@mIf^XwYEoORL`yn{xOC2Pah(buMgb8wIDb
zn6asdzq_!hUF;ozP4!84GMmUn+!GlyK&K^Z>)DDvpN4p${DnI(SV1CaOlCwP9_FNb
zhD7`b#i_D9SRSak;eN#*P^RoEB-?()7xT1)8T<mXBE7{S5<xA_#o*NLmHQQ?vd@J?
zNDCe@un!XP4Kz0miJ<rZiFlR%F%rT5?hX=hh0UFE&gb3%5ufV6$f#sGbUQG^O1p-@
zA$A7O$&?C)g&~xp2BQ#jNp{Pn=kAC|ld%abTuK|v=@`WRD6e?ofAJHT!r5IA#3j`P
zzX1p$RyN^5Jp^K}iyj()I3D$54glhQWXcLayf?jq{s2T+K_38uVpId901)T;>jt$m
zV-wI_-ISP@0e={#$oN?MXrkSN&5$~gQdhhQht6S|mKl9m<Bm?WwLkh0blG4#C=ms6
z13l8OSY^>K(-Qj7Q#96L;^7{k59ZK)F*N$1XXAi$1MSCz9;>a_VAby$`fxInrHjCa
zppzJU_z#+u34B=nObmQb24*_;kUL*ACarIg4B)z?%%UKnhqr*W<Ieed_~!QndH7Bq
zHp^whGn8pD9QAib9yU}(FYjmRi##aul@2^83HJ<lcrG(5)J5@i<m!t%{1_1fa0iNt
znaYHHi{lO_RQ9FY$)h4$;%Kz-Z1bf=a}riXQU40+@N0g(!AVtPnG1FJ4GK<WFry9;
zcXy!<yO=uwb?B4s#6Z+RmA8m_B3pVWvt(U83o!_D_~9Mct6&Z^8Z$15Z*kH+!yLvg
z$K`miG$@$ELCTa}d1S*J?$6T_#vB%qBke1L!eDA~E(WJ|uf!arn$LwfNW&d5un*?&
z3OYFrbD;PDbGV2X3or-%mx?*0zf-t5<Mkye5Z3%V@t3BA@r<VfT~Metv5V8!)vtTj
z_i-kt^(eLJS^D?ssCE1=**ar-H|I_pYvK?=4$Gu7m-&DK-9|O<!dee{EQl;oWN<(M
zBFn}pM80Q(=Sh>sG2=j>nvFAXKp06A5i#m?JiDs<#u-S9v0oIco^4};rWS^;i)k6c
zxBIS(aUcS8__u?m)H+qqHJi>#-Nr^(y<PLg=;ORg+P~?CyYpt(#Y97I>vq}g*ghW6
zbRCzNwz_zj3aZgi_9h-D!$;3<;%Ub1RJBUEx=FF9u7GygJHD8&cRDUEKh>4U%lpNQ
zgB_-Aucd91`-zW`BCbR?yBfCNw#YXKMIH-6@ZE$%v@IO$pm9g)6g?AWpq}M`X=u%k
zjg!T2l}OXSJR&BIax;1?h(p-V4PNn;tTItS6l!|KYoNR$U7HMEA%(4%TL_tO?Q&J8
zm-4TRqS@|xt|pI_@Wq7Z)|byNJ7&Wd$K#P&aEG#i9mM$P13ptzu}xIWc04y;N`Xu9
z#bP2RQH1psNT(<U<@VYjb03dKBr=ORdItxLGQgrH-pLm;&2qcpl^Z%ZUc>W<-uA^|
zTd#KPnpV@hkPlR2GGj-vbGnY#1V_voCQ^Fc+y-JMie(Syh4+HQhzX&Zsd=rg76~30
z%K^9!SGU{cCUxB`hk(0nhq}KP)OB>P*3q_GBvNzOhup!HFltVglB%m+H61e$(OEjM
zyj*G0i-fHllLNvyBc|~(4u$}4Vn(4eVKR+w>vMdJ(WCSamB4e2wxyznsk9ope9A6w
zMUN2CLo})&Iqe1nv1ztU*T1yym46gOv8#7AumuhX?P?&46vAL64G&Q=T(|3-TV37S
z+FI%ExCYLp?bwagntpW^DV<ecEKm+^3UX+!-a<#Y=$LVYFQ0ti{oriTu2&P)P)M(u
z<FXnTw}d+@rta3c8pCZhQN@H?u3!|^T*JRSE*2q^EiD?JQS&vYOA>NJ%sD&Q{JpIi
zX2WRWN2eAyJ8g*jG%gdzK>L!1aqWOnhxs{p)S5VWH)QQ%)xbV^Y$dmY@dhq43z2)%
z>!OMxl#*+@;D4Y8Za{i)VL`hN8IX!$o>Yb7RpRO9^j1Z$VXW?;E<?wW$~VM9wb?0e
zYI>_|HnnoCX6vjOu8RYD`>GGyAjSg~fiVg3!tQnx0`F?UnanH<hfop3#f7GXDAe@2
z1AjU(9}8_`=RXIdw0iU~O2eYY;bRmS{I@<&R^@RJM@&$#yVK>&9I@^gOK{iYc-WUU
zV?vCE2Si6IIdtVS-a&qSOE4X4yuep2nJD0P_YNeMCJ`^9F5Er$^qU)t1=LE5PrNkm
zNia5yx^){nI<0+Vik~O)OCn!92vR2UI+2kA$kRl=OXR{R$U{W_K;+Lvu8o0wjmWhL
z`bXsDDUjb0*_i?PGLf@~LCzET<`IyaME<k@@)siK?gP0%<cYU|JV|8f7|6Sc{CpAQ
zS45sFf!rc;8*>qBA7&xel@lNvM2s^aEg~;1gS<@Sdk=s-OXOeg19^?e`450xB=S!p
zw~0LUL6BQS&VC5wJdxji807av+y_B+h%Bsuyq(BTh&)e(E<of<GcCH%$D&Jr_{?uU
z9G%Y!<3rWh-Pj_RWZt&I`+FEdVyw**Gpcf6$)2g2fjbDPp&*28fJ_$*AvGjO2Q3R_
z(yDZtk-p)iM-qWi>WNs16S7v$G#@J;=G=B^{;-fND~#DECSjqf9gpmfFQ%$+e8r&0
z@Ww1<?BikhO$_rV{l}nV;S&R!gAwk)I8ueDF)EABjsuk}gL@MuIXZjp4Hq7Q9%!3X
zL2&dGEU8nXxeF|Osa&eS@NOcetv^`udagDerXJ*M6Zu3BT~4%a<VE-2NiATk$w_SL
z+KE>zuOdh4bhHpnv<{M112;eSvB%aQS^ost3A`T}898OOO5-RE>gli4j$_tG=&@q`
z4NuZB1kI#RBt1^*iYF2#0*(o@Tw*Iw>fo|Cs)Eje;%Nl)du8&on7IX)-SDOn%w=Ht
zaTkuOZ@Z<6UM<5v9X?&B;If6CB?e}T5x*OEt+qct@olxfc)v`2GH<_(BS)rw*)PI=
zIrzx>!;kJ!rwlEY;hvnK%Zan`RBkq&$jZi%kd0OWIizI6P=|}Iq-4)RvV(!fF|c#v
zcM|mb6wy;%?&Rm&f$?!3T+Gdb3t4$^K#Ed<-2`bx6D&pf9VJtW>Hvo`rX1Pgr}xg~
zi_a#==M2Rs9jKd-dj}Utf5m^JQ>{r%CF1BpY!WujiU^Z-T0R7GvGZU;To%Zu>ldv1
zRArp52ZtUicW20%xy7xXRowaxImMXJaSe*B1zzguO#HtvCST3nCD*cci8LnG5^~4^
zKU|l*N#**P+)TWcm5F`jS}`RFx$Zfv$pcF6l_~jIZXP_Bl?T$4SXYpvXGiGOrC7an
z?Fjh-vm5Ihwj;zR%qgUAFuwRHlX_juN1&QqtMHm>Dhg)kW6Eq-n_dlAR;NJ_*kp}x
NzYrp$0=>%0e*vnPiShsd

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.base_model.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.base_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..bfee3ade1f5f526bda9c57463fa78e5e19037d4a
GIT binary patch
literal 156461
zcmdsg37lkAc`vi{EIkXu0K?KY6pK(Z&h&_a;s^)~`@q0sz$G{~)!nzJ>QY_RR8`MH
z0JoU9Tn$QN+)W5ZQ9yi&CTJo?V_ah5dwE7QYJ!RjNz9ABs00Du_kCwS_ndQ=uHkh*
zem{C{-Fw#m`L^?&@0|0hfjdq<WYHn`Uvg-7y54B*AE`}DwAvF<cQ#ou(H@_fidwzd
z+h;evdiIvtYO=CZ+t+Q+bjG9E<Pb<PUT-ufI#FwO_iVBjllL0U?g-Dnyc>=88ts<M
zULUA0t1sU@Tdl8526~NNGtxdKgXh<}QRND#yE%)gAkormqWxIA@$Gf9)D|f0@MPI^
z4QlVr)(=Zoj>_iNmn6%0D|aSKn~hd9yK`o&mJHT<y-s6nrU$*l-YjWMbg|{j$D6fo
z7hb~iK&v*zo>olEOsgMbwecG|(IlpsNtX9&d+^h2{m}YQeRcgA^(FP;<od1GcB4*r
z>kZvjR2$nme%k1CryT<Z-K|&d8tp{W?e5kKYQ5T3o%Up-8FjWogS%T<L$^-A2S`pI
zMw+#;2oiKh#sHGhDTHLC(}ivxw`1|lSpAS>pwXI$_G{=dVC%<2x9TSVb|=CA&xHR^
zh5t8V7XhVCgF04CmQL3io!O)c1<y327gn<Bo=r|=Nw;LCtS{Tyo2|{%pH<(YA#+<%
zWG16pZ>AHCj&*9S@wx%dRsqgd4V>u%+Yn6XVrx&OJ(=AjKyncvxiVP^6ja;OsZG~4
zG?UHS+pS)$(dt%eV^C^syjS5gQkiUbD%1q53h@|W)ViTyCPl{E0jcvC4ehKShm`6a
zM+EjoKx*?7P%+{F><AMWg5$j%G6{287eEE6kZeD1rq|vzGj?^fr-AsR7`Y<q)hbmQ
zhDxKAIm8=hlQXl(b;MK6tdoq{-~jh61@Snpk&BROhky)(FQeTCNC%`}Elu)LPhHTX
zF3OT^73k>Z3KDg9TctNM-Hfj59hi<bS4Kugc5kkr?1B#yjq%=fl(IdBvSs&1BEKp$
z>rkq^)@rqT1ejj?GKQNVRq<01;W8M!W<DZJR_>o_ZtG6hPz$V>?nEH<_C~Wvn=zC!
z$;IJ^<{Q)dM;n<A09?%g1O<q)T`0Z!KypGRAqik}q%<*qr62QZvI;0^3jj>*N!DQV
zXdLNxqzm}^P4(Zz0k}mCK>cPCCeW{y)GxbJM|lWRbjADK?7&+?9aw=KV69()jqo@8
zcU=u%PYp*2Jr(t$P7`E-J}fVqBkM@cVQeew(d$^P*C8{|P#~X=+NgppLF_D0l)p{X
zKI%s;S=5@X>0^uIdN06pHxcO(gb7wXJ<}TR&7@d;(Kb;xJejqACRFQmy4FwgS~nz%
zDppZ<>qXV?6XHHu0<wwK5BxM8wI)EKkM0M{NduJ|D;rp1vx(o-%k?WlutcNDiS`ue
z=-FiP^Z~GN;04M{FyV+tW+_Rp*4Y#FW?4<3><?^XmdtFDsX$P+9oWXo+KFTE5TNnD
zQrh{GzOjnDN>4EB2cf_}ghBm~MDHk%_~(SDU>=}^Vxaji6Uko(kaRctSJ0LRWn27o
z6t96fL!k7(NkM{ygrz$O=~sF|8X>K-RUpUU8=`@diUug9NuTja;U?;~u|`VuA1OMj
zKWb1AuSKV!`cE7r5+4sWn?PPC#%a-YRx6(uZlx1QQ9&Arr9}S*6~q^WYbcHbtE2=B
zi#JyU4)|y`^CjVC27yo{y97)nQ3pMnl|+51WD!iMaC!=~yxZzUw|oVbwD2;hl};N!
zzf?KeXFF0ysv6S`P)gB1{>udMt>Hd88y>$IGMPN#RZ{W$!xgwmfme{0FI2Th#2l6~
zra2%E*21LLXn#E1P;F>*Z50qPOR17<*7{fqO}~WsVz`lRG<gMS7)ZOD^zij?1;tUI
zI!b^LlrN8lTUii>Wo+(c(ZespbreTJR8s<sfRGwoTwHm_j3O-I6XJC%sn&T*PGu+j
z127)=q>|5Rv^=|O=<5Ps9$3WSC&c*%9~@(Tlq}0{_thV*FH2TT&NQ23+}CeM<8Puq
zjFs<L1dXYoJOObgW{l(DEYjVi!s}73pDT=&WaxZ0v1bP5w(DzS<0I#tza5<#*K?_}
zAz987DZ)~(>O=81Yvk&ZL6alA<${lEd9wktr&?1p!Q%_DET+a*X>Cz8gLyR+UuxB8
z8sy+fB+H%|;9xCpVb-#NJb)KpjKvJa+u@&-{j5<&vW$%S@m$8aX0^rFK*7pzlM{ed
zP+YWsy4e_S^k&~c3HH@GEqK%>0`YS(voiJTw;N`k0S=o53?~c8wSg2%lruA?v5n;)
z#*TqsF^+Mdh{)sT<0GSUjfyV<?`MacauNAjyE9`n=22G~UPGZYQg_5%EPp7zkyle6
z&g=VJaNs+UJY#zYeB4o`298dSD06dGnE0yHS`+XdyojwzE8550&l2O3xfS}aVd%fA
zDEjd$F~@N`mcY<y{VL_|tzVa1Jk@DeH&&{d{xy%UssetYdV2zVy=RpzVg#CC`g>)^
zz|nrsLUCfUZjdAMdZBcLUpf*ml3@>yn7b-G$+yYmO9&gLCFofa5NU_Ig49#3zo-6Q
zLlp?k55B(m_hsG%iSeBhqs1JzOm7dEF<P(V|4xhqj%Ov6<9ES3X3xZ1;4vP7KL&#F
zbKp%5*A<vBx5uYr+M&RRlgl0q8{QVu6z_#hOzg+cgGbR#?rc$-pn5fvO|=R-9Zv0X
zP6UzFZ8u>VxZSF>I}=eyimXjWhVQ-Voq;Tp%;GO&bB5wC@>b>667hR52h(Jq=b1yM
z2U;m-u(|{S5*K5Pn6*hB$7M|T%o-z<EaP6u_@AM;WI0H4^2)>y<4<yeYrmJb+H58F
z4XA-fX`adj>oD&EE=`mbua^r|-5(iyUTGOC+Tj<pzx8wrTFvMkQO(N|pqqT`B#NjC
zizqEkSBNyizoK49f+xB96en0WwTI>E<1%kDpCDE8a)khhp`d)<)(7S5wmxh~)C&{0
zBbPAQ<;Jb<o~|ASnL?65C@pZ-$7^z?MNzK?B3_N{Ldw!a{eQwZ^;y(cvS?Gvd)6S5
z_rK)yGBf6o_xc3(l&iVfU#V60Haf8I)U1f1#E^?xs{->`Dem(omm?UTg($&P1^=Od
znw%4Y_!rm(K55~ZL1rpdwT)?>Zlza`WRo{n!0xU!o9%s-nQm<l7~&A?!L01cL^R$8
zW4x`D*IbHFJ-m$d@RG7UB%@pQP!W?I?V~9(F}$G698{R4%;HA?+ISSIjDLVn*W=R<
z<<pPg$)&j1fEe`dZzA)iFz-q#OO?46_==vPXj$8)WZPP@ZS-Wf4WhL8470R0Jp;Wn
zS70z!u`rZPnQBuOZ0bi5S;hlT0(SlLWeHV^O&Xo5O;5wh>$VE6nOAP6u#wFbxx&o@
zNraBNL6~`o2n^w_A@NhvFzKh?0jTq_s1TkI7ZSf#=1Si6bSwKJBS0p=trC$O5gi<?
z94Sp4-!2hxiMne2jrBJfBrni}AP)`A_zo<FTCHYoD<we)V?%pmw&JdgR)l78YD~3O
zC|$p~2r+Ums4@tS_2=ekm5s2*NGtkmy*2y&$zZ=d*1{(sQ{IKFFNP~{uQ~7v91B_a
zMdvzg*>07_<s2I68s;;%4HyUu;WH)%|74YE`gippl)Ot=REh3ibuW_tBg4_rP5feX
zQ!Vc<x>*b?JeeK&xs}W6h#Tv0BVd>vAUf6omoGJ2Y}KthxHYGBAJzd``z<@bZRIku
zvXW{o6QTvJ-2cwTMls?#TW_S;Z&0NWL!`el$7)j;FLwt{flPTB@62!oZerjSI4Bao
z7!;|*4qLG$`Jazgc3NdUZM1S3;b&DBg1QK;WT(X$kxN;qobjzdcKw<WEhFbw{6|R1
zZ1IlkCz|uTiVKU(InM^vqF^hD#Wm)d&%IuEi#6Cvo+O95ii|G-gIX9K@#`@+^Sz3N
zV3UvDXccb`ZZ+NorR80k`)wC_X!1cW&BfPashS*%XCZ5m#kY78N{A0Yu6PeV;UL9z
zELC(9hwLG6zRzznkw^)LSfAHB<~g*m_D7J8&rxr}M|)vyJuaG&4U^hd;QAy9A^s?q
zHWc5>3l)<blNNMEj^N@Jf&~Ds6R8cCwi>-gt=YIKsvvu^9YfOZ;QOo)`!qxB&x;}!
ze+qN3r7vg84qVx49;iT^0Zb5a^^QF$%~*lGN)Y7V?nD!nden(V2Di~iHtyP#4R`-k
z_zVtRE9kdig&~pPgbrR3v4BsbT^WOYNK8)rKWu@*_bUwFFPFu40LWRxcV)6_tl1vF
zVf4nCc2AGWPc2DQAP!@1)ae1djTYd7un|fEO94}MLe-mpX1)1N+1@ON-uxqE4!Ic7
zU-J!CkLWn~YZ$qKO9Ub~1}7U)b7GW?Yqc+dAwaw7=(`r*p+51fcAWa)RU)dsD`3%I
zNdTarq4>!ny^nvzy7CzQGc5Ej8gH^6W9^9psm5v^y9teHs%UX<tZdm*QG2qQO&VPA
zadg_#od&L>YdLU-mSmZc!7FBfVK77oV#O=1nW<66IZR^UzL~W=JZ2O^*W0Z<TEi0E
zh~+${zcNwUFu(+RwhT@%GNn5mjW;G6<Fl`KX+)%nBe1}scpdx$=xs<ASE|;u2R|96
zscnTGlB^TGi>9XQwQi%U_fNB5VS?zG+l*Kh1ocY1nKgJLHQ1k2Hy@aR;)v9tRWdUM
zJAO749G?t-e2`&`zQSwK#w@rtBm<T2z3O&58aV~)hUChAQ=g=r{uj+L&<R7?*=`F3
z);2N*4GD4;q=CYbvonmI_!mqF{2xjh{}TQYhAkIO@e|s+WI6ZI3t1$8OPELyHLwAB
z7YBqOn#4@HAc|MR8?!l@@L9UE4I73zx3eFz5efeY8mdT3z~CB+_d$*<Ex-ZB78e3I
zIK1&s*;pvu!X3(USXRDqrU5Jcqc=sJwlG|BMDa+cB<*ITo!Ah%b8dd`EUeTzYBs&*
z(s&SZxE^qvA1|BaD;g}TYF#;2kMy*F8DO5Tl75JY?+=nrczO38nK!wA{yNcpSdx=k
zEjBD2Yq!~6|0-&?ZMGPGP<ECRtgYQZXHgL*zF)Ai<x@l<e;ie!J2h$gss)WoPXp>7
zY<7ryg|7`4Mbvo4pT=fe2n}3RYj&kDT2VQ>!d{piemHlBv#M5dB>o^2+9!7mo8nVA
zQYOFQ^b|sp79@3(N8oNg7*6MsH%JV%D~~@C1%S$uB%#Iy)i+-iT`7;VFhh{o%IK11
zU@Ot8?NWTARa<(pS4Nq<oa^G~cCxBV=>jz3VcK>e*N%N9uZ;@5DqtSQYJ0mt%pXuz
zM|pFSl2U?orGQlKxYOR4vg0@)j(irCE<28uxfUG0N|jrygWTe?-kNA_k^OeB*oM|h
z6=v~fEXES`YjO6)PIdtAh1_GfPCxR2KA0_fVX#HI<Ig>Qsx3;!#797({g?e-@)a_F
z{zdkC8IFY;9mT<S%ldQ06eBr}$G&PlJ?4Z!_Z_$@8l6hi8VASWL}hQSIiqc+D3Mdr
zNBk0O-cWpPZW6(Pz-=HKFbC`6)v}9zGfGol0ud-g61gHQO?kn&Ax!GKbXOB9Wx8t$
zpGbGnlSg;)2BWX6?3`vtCj#FgoVH}Bl|pkG(WAms8b`%`eKx<%erH#*^qOH5I!h?8
z-+qVFub2$_saThfua&vxxgqLAi||%@4ko3}WOB;t`YNReO<CVA@hGnM6qfNFSd3He
zfo9u`2Oy>Np88<6=&oRke0tB-7A2nITcFVX>%C0!7W!`?vNl^#=Y!$YgL)9L*fqi_
za)Rv<!R4&+nGT-h$CtI_a$f!nl04$iU~7irPv@o(q4r*hIhfk}l<bk_89W2d_k(T0
zbOhYKdW0MEBGlQS#NnJmIwkIMT)XQ+fOHMkpunQjRC&qVs$YM{`t_Bv{lf5J)h|W%
z4v(;yi@r+MrFhrO$mgO#b^d)Qg{kvL@QKtpJ^9o*8;H56^Ru{pmA$i2ns^mWf1g&s
zCCO^?Ds1k$3QX(P$tJLaAK8LjwO(pI_oN&#m!$T|#s8AIl0TToZbbpLrQnu{_e`US
zpOSM(g{@u=%<Ww|2zy->Jn<?l#!_J`aa|UtZc=-#Vu9D}o!O3KgYC#3Ak_lJi1B~I
z`1N0Lr3q7Lss%wLq?&%gDLYd&9S(CeI3aa!q~Zpo7IJ=*!x}#ihjb`DJ@?3Rg|jet
zjbJ>D_YGkDnYL~RoCQ4Bx8=P{iy$bL_b$Rr!<;R4fag8Dya%iOdH{`B=(AtT(Z%op
zGs95)8%5eli+?YH961;Nus@;Y10Wu;y1G3_seJKI44{|?Dd7=N|AKiWyuJ-OLG}Mz
z&`PHMUx!bm{^`l1{<+31JCi?G#dwsRzMoM*{j1u%CP4Cmd8||Q_LE)<SSm*-OGVFC
zes=zTAPB!w_9?@6%UlZ!Sv4gewBUo~PyLk?K4iJvC%fx1>B5$af-1fji?J-1B{01f
z5^!J}hRs<KGk+eeJ9~gstxDj;cR->2w^rQ5DJ+%+!-Ax4-@##bS}od)^cd+_-fxCF
zO4B8fLQ+}$4Xkb`{(A1g<_1jsdzgdGnE#h-vfssqs*A63iXMV$k%Xy8B(J0RCr~L<
zE&q;Bq+007qgr@_=Q6Xr5YCewr8AFm9jYKDCf{2u53D)8fR2$>`c=$b^H{}b&Ck*>
z=SaLpWG;5*JDs#lhonO==s9%i$aOODZrI`~!?yI9GaTOxS35A!<zlG$QnCRF+Z8Ly
zXr!ewSF(@>LMfz`5^bRlv^OR~N6EexS4Rq`cmozg<e>J89!jI7Mw+!nZA5c^*Uv8<
zR0W8B=&#I<YzcP6vjKD?WP)WTZBwHEB-0m$D{${a;}tmeq2U+ZSgNaiXzJAMbcmGW
z%+CL2mE@P$dZ=z7LMnA;XD~qO3c}E;)V&vtp<yZpm(_v$7N6-VR@=iQ7I<(knv)R4
zd5#@A+Q<l$-hkoAUU`!S-E|c6&HY9_eH3#L_Wgv9PP+bMV}Cc?RyXPL3esqJ_nyBu
zT#Yt(ISEm#DR;bH8W-uuOP%n1f4IRxTpTQoRU0g=$rb-*=g(TXEKVxZ2oP!MVY7mt
zNk4uqTz8HUOP0VkO7nDnR#CwL%M=RnUTmwI*Hz~DDX<*-KN~q*+9t}75$EqL7#o4+
zB8&KlXU#<py*TR0<8`!kuhe^~h2tmK06m_Yro_DC5X`~m9lw;#v)Di*MQz?8dIR$g
zX@MwW(B>V^)7@BT<zXwutYbYs(X4}>e6tSL+_}s;E<pQC?QyE+IWtpIpgJY<1qCM^
zsz&e3gL~@&UZV?TLx>ernN@nEU2WQW2{+{-))_5&GWKa>5_+2TNc^=XB*NaaUrTBu
z@%1biFkRr9G!yovoGSAschB?LmckhBj6=FpHugz5K)3Dg+<6RJTva5-hV7kW+ZfGp
zIbUMynpAjf@pB+kUR(UCa0PCi$t!RuZv3Ltk!Fj-hC99*XiiEU`V~`J4!23GV3R;~
z(>JF@#EyN*ty{-ZnEH*x1L3y1G36Dc(QwRDekWXkCgF2}QEZ-)#=>tHzAN0+AQle#
z!m17W%4HbdW971lr%WSq8-||_*PUam;_rhhr-2l=HWjoB*?5`SJS;jK$a9`QBsol8
zw1t7HcpRX<b9T|$La4!$Da*bSL?T(#PF=JWe+#n=#bJ2^L$NYh)@ad%rfL_s*ptYD
zA6z#3&%zCY%giQgGtJ&8#U7iDOAhbOOi#Bvz0vMet<$4D_}y7N^e_Goz0DTr+GvYe
zH_p(vL6*=es7Q-5bfs<M7hp}O#^QZIAu_63+q|5XCa%rQ>jzDyve-jwbWU-?D#<Nd
z*Fya{x-aG}E(8?L@ri&+|K}}7`;0X)dEui$Q-hOnVCX25jKf3E<m(hQI*1VC{gj1L
zne4Qu)Q0`ap2l7Xt*g;N7jhY+d;yX-<1=yihvMhurUE|OSXkB`4a{?SAAx1k;TqNK
zcn$q12)-{ye<d*`n|enPKt<HXC75Yg5EHOPIBMe(WlUD8mkR@nj)f5685%`FKqmO`
zSTv7GU5ucr@sY4gPYM#<EET;~^;y#W`rN(MPbxSKa;f8vP<-;k9bOI}K(M<Gcfe1E
z4PZ&Rc#GbNrHG2qN$iI?Ofyz-e(8tJ<3~AksCoXRx}Yp{l*2wKI0z6O<-pJ}I|`TR
z@j*&mr}vgJUF0JW1efeaUaP}SeSevH-%|kE_>GX5P7Sf{vvHl0@duE$B(#3}_D{=n
zkwXhsmVFWjelcj<a}tLm-AF-(mt2q(%?ZlFu3zb2N7xiadc6#K7E<!aT>O{^lz}-T
zy)LAr*@9c1o56`y{+1|^$o`Q9zn{Uex%@z%M=(=<k-Z+hHm0f<jO+R&8<@Dh!caU`
zq|G!GKPS+_ed9xceJeB+K|&BGZU{A8DCkZYRT642e9hXbOdJF}lqfD(T*Qg1;E6nx
z^yKkSawlHtkh`w%PIk+BCX0mJsoK0=$$1?Zrnf&UAmUld9#`3_n>O75H<|5$qbbj8
z9UvE}7X6@B^#@fJ!Fu{D$#NtU&H_r&MY72^Vb|!HGVj6yUb#ir7?3iwRN#T*Yc>8h
z%zmT|xp>ni0Wm(B(C(7(xV)S3k7*{SO+QiSa+koBkQMAhwbZ|ijl8H#{4^`91uOLU
zM0i!2r^z4M&<<DN_B8Pd98MSfqSKz%-z7ldth1Jd1~xN&Gkg9zt0a?(OZZQzj@(oH
zS3~tF?e7k4U}%_<U2mUohM?nQhpSkPU_@GUoG4z5FGDaKjuR;?axVJbH)l}i?A!Zr
zJ_LmC#07$aI(`n6)_>p05iVIR{U&TMXnKAI$1`h5bz~PTsp3(F+T6B5=Ybx89fvUA
z<IWN$5~Q=FXg0|~@z=0nL-F79_6fVi&qN@p=){22F$Y_a{i^I-Fq;Sj6<C0|Bgs{b
zRK5k-N1;k)?)(crk-0-p9&;yV&7I4F?2Bp>a2_Y__AG1h6bS&8m3a-G>}A;PiaKR+
z?6we!s)X&=wW(;d1~vukWOFRSN}-`I!mgA>35BG+k#t4&#gf&gj5nzxY+wAE(-a&G
zHJ{@vH88AI*Heg8GJz%#t94~~461zmo3aE3=$pWu|1vQ@Hi)^$4%h&hz~snf2UNoq
zxa|O5fx`~KFFrc}sFL;7VF%zhv*+hnC7INw>sj4})wdAGZG@p!soM@<XqX~TZ=cZZ
zXa}sPVm10W*3YyldRflX3W|}xP2_4}<lLRu%^H@AX4>Hj+%&^0aL^2X@zBhml4Kl>
zT(t8#t3+!UHM{Ge(9WwFmX5CC7o)2h-u`gG_gJ~C?zr&|Hv+^%8cEmE<9*?}b3i#~
z%aQfO;;$eTJCJAOXHNM7OTd2<>~?U%7bbMD7=NlyI~nHO+2<O7?}S_Oq&@Y_UhriN
zwD8mhGA*yN)8f2E>G=3CY;+&yEl&hHuM1fpBhQ)o9)l*NCWL9U#Jt4?f`Tu89PFU}
z&s(%uRb|1TWsi3Qv$3FQ%M;uRb52|IV_qufO-$elE?s26PvXbOL-t0y6gWGf)J^e;
zYk(+*;tKxbJ;y;GQ$9CYFcu?WJj}ZX7$5wV+cSz_DV71AgP9~<0CBrkZt>QJnPwB*
z!nj(a1<t@!fZ{k;CUk1XXrmWRr9Nvr9M5D#R0T~=tG%sgAE&Fa2(L;3f@LT0;51pM
zF{bd%h29(%^EJ64(U;hUAeVD__bT|{S>DA@Iw9K{)m-(=Sb=O<g;_dY6FBHw<cqtL
z)Hr`qT__e>+`Rz`4#Go=yAqq!>R<{Q&+4Ef-NyU`B1KD5AQMO+yH+KieQSbOWB`q0
zvI9qOD87V}#+SoC!ne#=M&pTbZpc?8S4c@)ukiy+FbO+U61jvf8OJMb@otPMi1li0
zp)7+SoV$>qX{U9@NyrI<SX>kn3W+35^zX!;<dV=q8W9l^?;}K<5fb=GuW3#!^ru!~
ze!kFH=ufC|{-in!#kWG@yo>k`K-wTY#6l9A6bq%G@vx91-PH$ynk0oJ2cvZ08@nIb
zO!@ANp-VAku*mo#C=S}OJx8g0%^4M`y|ioDFXEt=t(3HH%l}VeTXS(Jg20#mAID5t
zdjDJ@w1QEo;^R=fc5Q){(4zh-$PqHAvBex<Y;hrg!z0X3(h(M#aE^yF@#7AJ=_~<s
zEb8A1%}oM}`uLrBxz7X)n3tQLJYMcOF6v*5i^n7i#HsFOJ>6#&*mabubPgWxoyy~#
zD%N#RHXYXno^SIcZvXQ7VX0DuYt8XRN<h+)|1C)OVQ2UiGH-IvJl==o0LOBQZ#1aO
z+yZ8f0mD_f#S7-tw<THUyK_^<dTS0=T>|b}zV~?1Cm>T^FZ$ka1#S-=ufXA~!Y{gb
z*H+Vy#p#%v&b=N|*TvC^RYg7vDBxZ%xJ~KxDRli&q3;j3)r~H%AnoOJgn!-}u0Wf7
z>E>Vn45}k{%t0Cpe;DUy!c7fg;h;3E+Mu*t4(Y$Qa#_SvrV(z3H0>KTdHIoW-NnbM
z;2x0lVEGC6m*KVsamq!w1BaT!XAMMgFy=_Oi#N+NdhpR4xue64Es93^tg}<X6_h{&
z>o_QE{DN>(Ls(ems(T@X=@u)g27vD4zaFSGWRQ!r=;K$WOFW9i-3K54?l2TuqkY16
z&OZK^K@)NyAbk8T5ERt$B>+tSef&cKTUdrDu`wY(^krQ3WcvDtckvh{GUk|vN!`9G
z4C0JblGEeY;&2Ydug*QHFyF%nqy=XR6Uw*pZayvE{<jywRLuHs$4tYVTeDBs-EWxm
zmFl&vM!R(#8l9VITD6;P*(!X)^<b{MovnRcmQkO_)c;6sjCAMR&5+CK{{J9+@VNi+
zlVLhp8ryXL4-k-ooA@uuH8iFCj8&jtnWKw@F9G}oHPD|_mzjl@06q%^2O%Q=CBw()
zYJ3~+^I)5qQyaX#S*DMC5Q6x!=?AaYHQ{-*OwB(mfNuN`kT|b*_+KGyDRh&diM42*
zNt1rM&`2m3ykv<BcpYZ>`Z6^i3YkKBS0~;=@E!pLmx4EbKqKDWmI1q|OdmPAF!!>z
z(BT(DfOtIoj&!?7N>{Y&$fU-G8(C=QHE!JE8XeY%#-eNiETvI$P>Khm!0w4MntTgy
zcV#f3<}5}<m(y8%8zt?VH~wXX=z@FWUyPaZ>*Y|Kkn+aIMOs4M_&ty##DW^Y*y2I}
z2ZvW|u@e?lA#c1eZY6*YZ#;?PfHxk$GjIGXbc}i9>FMBj<Ik-}&FO*;csdMK9saeo
zfEylbn}g?FJ4J%G8;<PN0?5_XHs)EpTtk>IrC=d5=ib~jDkh$I&+^?eSMvUO>@#Pu
zlbc-a;#<nz^7CEjhY87_%g(v{)8WMg1x)-YEXH!tFRpH6M(6Rjz~O5rfMXHvAJ!Ks
z1;{wNca>!w*&=DcUaE)neOLJ6H-cT$8=@<F-L*RB+5Oj`2_X^35fHO`7YIs{#dkqz
z{h!^hRkM4d4-mU_i}nJbb(#nN5g+DEZ^KEKfMBZN$xNNbSX8MsdvG+<7=*8=9a3@|
zRIap=lj2`v8;0U1c~gW!3EIHqc~~eQKdwMdhZgqDnpuCCX_f}@6JCZxG1D-YK-pe~
zeAdiKMOs4EOa*d;SY5Mbu*Es8nbkQ;<*@}~hy?K|!C}i?YzmJp5X>V1Oj|Q->K?FW
zu7EZ&Yi1`t(GEI#IylzM_D+P$!~3Gfo_eqJnE_`OFldYl=U~~Kpd_tPB$#GC6K7>@
z45C+Sa2SU0-)L{7{2}9J4}h=F>HN$i^e!4V<1*L0zKz|$i=RuXteiF0XJ+nLZ%wrJ
z%6=EOdlY8z3>GsNyT?`59POUB1-tgN*gbE7CWM5cW%sy1P~t0o1(eo*yGOfH-XtGk
z0L|ws<;@oJ-P70efzPyrj=vg3DD4jCVia9A(vKsppv-iVr{V{&?xFZkc@u;Z@(UqE
z8P{GG9Lj&9P(FyJ&{v88DNLa+VWwd&l=@`~eWyrE$Q1fV$Pwax%@o2G=QM@>I!CG8
z6cR%us8Gq0fGH%nM*>*F6k5Jsm_jS?iA*7SIyk1#+0&f}9pVLjJMtc>=M*r4cvW*S
ze?FkhAJJ~Ce_Mqu^i9`V6SeNhc)JsgOm<)k!pH^i^&))Q3{y1qu^YkZj9oaW0{_`u
zf$Q+54~)R)PN#NY_vXr2tv6mD?KW<T=u$d3o1os_HwtTjlZ}a}1-EK%tBkeV&CM0K
zx_+$Pg;e;HOfb39pkD)}8C=}Oq`i>>kW8=>V9<-3V8b$3a_2nuFG&KhTujU52WEE3
z-zGNCmc1-)a4Cf1tyqj@aJ_N<kP%tw`XLNg_rGnt4t1ErQmjMF57-YA`-_6udxB8U
zhfH~cP_GGB;EpNc6*xiz@r%w!S`g~x{S+1)No#c%+=<Rb^4MyX-?s7j6YG!C7jZ;6
zuO)Ys*JNr${PBOcgd6J~5ne$Wk0D+DTEf{{seDto;v6wm7D~ao%VQT@%zj_E69v&b
zMn})kUKV!ugsUx%U7+TJgxrJSE)+y=jiKBvwEi|+RdKYe+R7sYSATI+A$1AZ!{J7U
z@Ug5|cl0F_s#a1B3gP>~6JgGQwt$3JTO$s&Y^Ri_8B_^G5A|23)_E%2Rd@RzXKm7A
z!Tkpbu0GsU6P7@BW63LUXdV3G(K_m`<Fss~Z)VR=3^z<0j+~l;>c~xx$3gX}`Bw<;
zlH{_%ZCR(NW}Tf*&`$b;iQ|P~9Nk?yk9wc)2&!G-3fvULD{xQ{e(_MyQk-P4ey2%@
zeKh;tu*$NCyEqN8N^%oXL@-*lh7d1FL~D#`Sc-O*^Us20<ZlzLB#f53-LI!E=A)E%
zg)4AV3a`LHDfp#dlybjSmNjMvol@>07_C}Eh!>%h?6ep?;F=&>UUWIPcSR34q6)v+
zcT}m8-2C?sE>yL#v|Q*e1Qd4h(V*M<??OK;<<Sw_0TzfSg8~SS<$6EUZC<^Kx!cH7
zj&ttHzDBQ3zs6@eov78TOtmMXru3iZ&mg5)e8>?X8HVDga+9BMq%REL5h4C7-npk`
z>%!p(Xwd@;)?ub$?rrjT(&LL^Q@uE|0Q`U8{;Gx#U%7yYrV8g4(Vbwp=t6HGN_M)_
z2G?Ylwm1+G!MQ8bGd=A)d3r1D7E_Vt;Y67pppo1l=&{R>!8kehCTxP@JbM%HlMc5n
zZjFHbWGH}zQ2D_$l5xlZyWOhXQc9Zm#5D-MkKtVEj6bPvqZiu8a3K^Ngp>9$NGwxP
z+9@bKQQD4l$7Rrvge}QR39`s8U+ERcatf^gotgnDqR$U4I+>D&`DUA%c2=seF_O3h
zTmxfK2YCpN5}IyCUEmm!#gtg^mWx~TDJ!3+>#rm>L{c|H`*eEt(@Ais#fe1wsk_b-
ziSUzNQ<!tqloZagPj5(lt5ul4*%~Ljg&OBis&hj8Qb?S4&&lnOHV6-Kg2X1p2`Oki
zoZv`zN=`bFqn_l=0i0pim(3Y784wrbj0^0kb*0Kzv$j<B)gxHa?^I^M<yhHQYxTOI
zWk`#_zPgIGAm-wc^wgYlO8SFDj`-zE&_SJw{nQjB2*EF(C%l~ef}ix7!u+C5z#&|i
zX5(hV|H&%O-*Am%zD3RRCoRn}4@1F0fQVxxIw_7xf#cyAN4kyq2}dHB6vza8W7nF^
zH=oS_x**@2&)o_dyIj<)?WuqzHW7h&Hq~fFl7YxP0}%^{+t+$CUEJo>YP0+DtX-qh
zJHeSn{+2)yk8C*7q+CD!1W7>f$a*NwV~ydbKJv)3tm6C)*Lb8#&GRQM%_Cc&;2=Q6
zBNCkykEFoy@Q5SbvkOy;q=2M&Uf>wJ4cQ!XXa?*ljtLei&Zs*f2Oshy)Nl@!Gqz_9
zCGA@r`Hh9hl<$gbVWx~JpLUSuDdY7TY<G<IMomqvb}JC5lG3f9zVaqlWRf=r5XWnZ
z^p_0uSLPrNK8%P<pNDZ3ztWf8K*_>JjCT?R5|_VUq<bP3?!A~P|8N$*5c=b}8&y`m
zC9F-^67FL(LVf`YoKAy&Uv@fi{2`)OXwbvLgU96wzfYmKJmH>`gPD%YV{?(f7KN9B
zd|_J@eheLBae4G~aN_bVYqo0>qj-Dp=tQG?L&5MoYwP6;&_x99p~*%QPCuu8)lsKA
zGFIzGqs-l?ys&1ybBNWu##d%_qS2YI_3CsT4GWsf-8?qWsH+W}N6Os|)Mpl#D0ez|
zzM8UO(FW7N@pFM#`NmxjPXZM%vuIvl&}|Q=6?wPT{>~(+{n`X<T@bMFhED}sd?*%U
z#o?{iX@hz1RBS=|qkgjDa-Nmt+K|ZKX5&u@Hr^A+b|PfT8_0HgxB~YwAFsf%%!gkL
z^IHY&sYBV*>%oq50xz>l^3%DlZuHHpR#;WB<JK-B46RDtYkUk1zdjIrh!H5qxr)`i
zv?498@wtf4T;to6Us5tUOCw*T2$M9s{T`qqP078g*v<#I*pTePT#an}7>LpSuPSN>
z09XPJ4H>vsWMRo{TJd_EE1c{##>>HU0MA1k_9ZhPKAI75{#Ew|w%W)y?5H)y+!-Xj
z#_vK}9g5$Pn`D^<xe$TBgZJ@iS!%qu2%uu3@?p$0%oVC<sZpDEUdT12y1)TmMB}}7
z=K$=IfaPfL-gTnNf%Xjfe9@zYT%>k)Rgj>VDP}GrN}Vg5S3)OC!lBvNXLEN_pSipZ
zayge0KMfx|&MW+6XirOCn@fpGp~8Yl`cl7#timi^rYRkCjPRwwuTkUtNp)RYXld}9
zP;d|)a$QMmQm(5MG#=NLBi-qx=ta^%QZD};M;@~15d071j@>AwQGDx(pUM~q95U{%
zKz7PGbNwJC?VHzW{ZS^l`pE{H%e_vAVy67uzZ!WNE-fO}AdF@6r5Y*oJpg}FkrtB6
zpaMBkp`;eCaNw~geFom}32~`pypw$;$#h<k?uh|72Q%d#fR%D$>@y*?6lU{YoV$6t
zSc(4)s5Iv~YogViEnTjr0Si(o(ZH42=>+p3n1yH{$ok@(E}_E<xs8OyCCAp`HX>*P
zZX^88+(vJJjxo0pJsljk(fM7tfoZhYF5@(kdpe(=e-bpJ*Ea`e(PqgLMu}-xkvzev
z<o?P#VH9+Oz)!nk;)u?k_sLwz2j}trN^>wQSI=tmD|7UiFHK?dG1=+j+btDf@%>oL
z)9&W^La^~3H_zuFQ(iaEKZGlAyLos84mS^e(dkm#uc)k2%Xoz~A%~UvuU1KZ3fFZ+
z-`qSuA`Goc-EJO+hF^XQ4n#N4gRWvVD?+42H;;?>OgE2qf>Rn(*FkVc9BmGd)jzEv
zK2Ya;5ZpRwLdcHd2nfH63j_sq{7%5L|9+PZZZR%Hx)+e}B%jN>IWJ}UTu#}AHy`Rg
z7YqaOdR+1*mjXF{ArjzF{DRzcDEuu84f5yl9zHGJmYqf56z2X8%rwmPTDG@kdvR|I
zYHH2f(reGb*D{{Fi@Lf0T*&40wT!|CkFNzk87j;Yt%ZCo`>n$K0$203%uwU}Np;y=
z$k%cc6dZ(yd@T~2l&>WPjmOvGNcWsfUrU-=q}WKx<OVTgw?ioopL^xy8PIF)7380s
zGrUVEY2Vx{e+<Rx6zZoG&AoCzX3Ed*nrV?bQ&t^y{Z~a=LR09!Bq+iy=57>haUp<%
z!z-rHLNFJaLJI{d0d!2E-we$ST|9~3*%bQU@rh1EqNm^#I@~9IcIB&<2!e?3z(<^>
zm>H|__5o<#07VzfM*7ir@gs|&Iry2i?pLyP^klcLzFHtxA2GN5)P1KLC(B_&7#>kH
z3;TlV*Cpqmd38;v)@b3Ovsd6ou}YQ2dcekotXccU+2pxdX-3jDn6rB5g|-o@e!ba~
zYCRG!l5^8Vxo*AW7hdA|On6Qc1kS?gO1RIFo&2m%^Ov!%3ZJF;DWx5G@Qye}45@3@
zs*j(TGT;P%oy?W|;k=ySo1@N;ue?=)eM08I3e<9>Gyy$HLgNCoT7P5xO$J*CSZ^_4
zjZeg4ESJRkG>M32x;~lhIxVAJ@2S7n*{<L9wd+oa=4Rs>A$BvUmrj{&rX7KCtUotT
zt3o(R+!1tfu-_if#&*b**RyeLxB|ClgID12Y~U9|W~kn;!kd{mupAo8W&{_9>pGkp
ztTO#-Q8)PlK92PLpY@+4E2a-@V{(5d&ZZs$!r8-cbaWHH7~Ry)AGujj^`e`t1881j
z<+3{B#yZ>x7-k2Ej_v8Q;ktA9G^}`_^j(x85KTQBq+2Vg)-oY%&_(njHa03=Y@MxA
zQtUUVQivhaUzq~uPs4b*eO!Oc8l@3~|1g@*hbwRs1FyhAk@&@+NX2-CLzTZ}m1WVX
zHX?Z$E_IZFn^qno{H*FiP#2+<?6l}kRJMUqVk&363R>7FPg;Fhd^*~c&&5u&KqX!!
zd85|wLCEw*Z9}~ZW)zcN+pf<v4lq5Llh<<=f$&LQh7wrn6@W5$tVLW><|NN8TWx#^
zbY3Xo_(-gQtx^<;V>5a7D65$!AywmDP$TmMfUw`<F!FICcrhe`E*}nMg&eTSvQ9KP
z(H@_Tug6kX(yu8n)@S1rAZxN5UeI<0F`IBL$?mIlTC;D6C!vIR8RTM47$k_ej-?iX
zf+?-xg<{bXjU!#zb1>a#$3DTC&+&619Y3>rIX=Rq1Qg%7f_joI+uN-kU=O=##PRn$
zHhdEH-obhJjaH+zhXp}&Wh7j|T$0w}v#<?A@iyKRG1D{2&C!nqH8xJ5H(c6k^cuA$
z9F|)_kx?NzA`$g{R?zKW&|O*-y7&^zaomn2fV;D02d->25AX;`+)_mWFWNM-QiCA3
zE=0XSFboE~jSOxhbAVkuH_ET41M9!=b)mwR_<z^}h40H4zAq_@?|^}C{LQ6GM#F>~
z1+?Ni+_nbWVtarnY<6vv58HrGAd{U?bs%OPsF&@)a_B$=nM1N0#r!v*XIfuD$S?{6
zpHQ4WroEc&l^ncEx->+;^;fco<hOWDk?x75h*x5!VPPXc598I~juJvJH9Ql_+^s-p
z1^8GhTeeh`q--{6#A?&9S7^G^sP*)VjVdHK>pZ4-Wbld^n7hGvqm;!Hv`1;6xh%Cd
zHS0z-*XjBz6N%r;jfC!!H<cxh=Mew}jOXn%^v>=7_{p%4r4hrRGgmA$qZwwUjtSL0
zR&hb;FXBV*rsnyR>UKn-HH-V8;2=OWp_S;Q)+|!sc-AZ&>8|WINl5}p`d&1r5S<K^
zaqnC0xGiJQko>qa9$7TQpoxFMB+t#1G+VALXM10}La4~!5+;%;KZ4@)Zuw~po6Cbq
zAHhudB}%^4j>n3$gjPF#PEdqf%mKz07XmmqykfOOSQNsNEA6vCf3lJPas|`NtM1Os
z7m;V?9)XHY-@P=GWT&n-RfX=p|1}zO=@P4CI*;Ova$DsB_<J7SnE*E-)SBs+>dYm&
zM*%#27`|6IoBr8ciKg4*b(p5&xfs?b%Y}-<_Bsg2-;8N@+lh^vY}j24P{&2JW*4q~
zFwO>r*VlArBHDD?n}HLbuEUZyS0*7QTC{=R6i>{huRds3HgFZDy)ij&WGFA^3I7$Y
zL2Qz_=4p^&ni^8qXe}Y4W3zU8Hi0=?cG10-5c1h8c;d6L7%Qakul|1^Oipylg?Xg2
zS3H^W=MAc4LMiC4%t6={90ZRe_DaZ<cLAXmuE6cb<P|vlnD|B4V_InBN-2R@w=Me(
zj6N-eiNZdsRKKp#EwI26f>x8Uml6$AZ7D%I_i#C(OQ>2^yS<wXAHVJrk_0{BJE&M~
zN$PNicuo<~3Xw>Vka}T4_pUH>?)JZ(wJDb){6pai+yulca1aoF=|2H|+A7r=#o{jU
zG6eKVLe;7|Gyo+DXgH|KQ>3Jyg(&8Gss!ayCOh@JVIbYT`3`kF-@)7eJ6wUAoOlHe
za>6ejavD^o496rbksK#24m`sw(HhU<q?A7FKO}_~LG>Wp9bLsQMprfV^)G5Z!^&lK
z$BlQm5$;7z+6-dKrjc;nIiSoHsGSX`#b`k)b|BBlFaGvQ<<3bKoh>9YJel3z5$tyS
zV<@I(xu4^2!AnpUVL}I&(ogj^geH8%&AY=bdD3o4a(H)Udb-`|jdrJMo!*Tz?H<HC
zy#c4B|DiX~!c!Z_pyoTqJIP21tz|5!z*zh=f!-VJp2v9VK&HIL({F_<a5E3Dz(Gg&
z#o%DgXe=kJ-er|&akn-wISr>`!s_h|OGj7ni_z6w!s=sIE~`6kyu*#iEv!Blt~&>m
za~4*tCl+(Lg;kiyKv3irRu2ce9TZlXZ73$Jeim*?31P(=XyK_1WKdW=tAN`hCB908
zlC2sxImV)WHyJF4OnHUbG2sf_%*88ka5#Q3I9v&{Bb_cH4pQ0(bGh%gTBTcPXoHwj
zu(3*VPX?cr0@i;w-}&LTx`E{tq|tEfBD^YGL2)psj`COp@7fy=H?}AmpcgIk>c(&d
zCD6b+%A*mu9qzZnO$}n<U^%22gXMB5)wf%@ELJMhh}=r`L*cq}jMbc#Dq}QD2?V97
z19>I}b1T))2fH0qs$qd!cn0uLxFsc&Dr=yHr#6s5r8*Q?9!M)uBe9qYtTEr3GlKsJ
zcGoi__&3OuSBX9quE5PqyaESZ;TMCWl@iqsxKAqy*Mav(9A}ng@wqlcc~vHzs-Igh
zu7mnhVI6Kp3j<QXdOa=J=OCkHw!yGo2WSOL&>;V1(%$xPTS~ARYhp=OJHoZtmf|sa
zqCNKv%HL++ULNe5hp%2r1d-1z7>6rx^A)ea!B_aDUwri{tE{J+uWlw7ty<lD6$YdL
zU%fZj=OABYw!z@5rMLtv*oyryDet4<mXzQs*1#fMm7Nwt(_L$#=1CXF=Ue7Zi~9k}
zXxYJk7eq#PFy@r^yq4So|I0*}I)D4;NZ$=N*3I9%f;1kk8RP#B*HA+JQB+xZG=j6F
z#mAch%3|+=cnna?ghe0g!c`Opgx69O5r=rjfi=W)u8GX4;SL2c^E4v&MCJwIx^sXz
z=ZQ>;-GT&mdAPwru<|k7Z-i^e0ZHbTHQIIITdz;y5txWih1(iJBUAW`Lw;QHUuBM;
z2`iO-+L}aR3$!~ap+kNgu|Tk7Lq{vm&l6`H4d(ktPUY*lV5>Y2w%FJqaVolfJC#8p
z(#B=2>JC>5!@+$e7#~OXxIj!r1AgFjY4}d=i|9*P(rk%;7l~~sesh@SH2%QBf_*d#
zDbkGg2fdN^5C-eu$K>Bx1Wpk_`+m$c%wyC%#{(6=_x0sOS`=bgsb1Rxdb)0UVg$pV
zF2Z9I;P`}zkzEm<6|uR}njUFQ)G#h{HwE|;*-EN}yZqoNXV{y8d!V#aVC|57RiUtz
z{UK$4ksByIBK>zDm)hTkE51Br{{i>_YH~xexKgz&4E$uMaZ7QSA^QV_lxRQyCAo&y
ztN-3A(6Wk5mJvbwU!?~6lj_!Qp`iV*LBT<YC}^MIV{|pXZ4iKAftQP}vq1aTGJWKO
z5X5)2PJ;qw^QDRQugbLKu>xqvKZ3-rjg{=8s7GmJdbQ4;s5cuw3295AodoTm!z(6@
z`soB|o}Uw*2kw=U$pzNh8x!c0%e3JH$dq!YX&j)Fbs?Znfr1YL&}WtDWFDXgl?W9`
z>#t0xuPD=s%MKRQSC)l3en68TyDbS4mFXi#8s<S8t>W;DA;mp=iyY}r$kt|Zc#<56
z!D_N=Q5Ljs|Ia5fBogv9znuDyDQWm}>PZoKTUfQf*fcNkqFz$&-0Wnh2$CiT{ZFK9
zsd*LS%aw<EAz>sv`L^5?5M*?r;@?8_?^N;l$smrP3d*74KWG)0OCH}v4fH21Eer34
zf`br|if8!bSMd*)=_4P6AikzH=R{(@GzsOaWm@u;gN640EQ@wn#s8>GC-cCqDRhpt
z_QnMIu`+G=`N0DE@q+{Ox)V%c;Acq9mdXRPuFpBr`YRLa6UwyWILLHRtf`Zr;Bpcq
zq~c#trjHzHhl<B9h7|Xxct^S|#k86ns-$2>Q2lo8*{c6d84OfV^<SvAMO3N~6hssD
zYq=Iz_lU#(`mv}}X-`(VwJF%Q*oBRdm8dpeuTXxMW-qh{V>0*P2MJGT_c0=Ur*_9r
z23-WT55)#^_H=BV_)V*@T+(4bHO`;3v}V5r3J$_Unq6X(vWipCcv!}f?zG}0qu8cI
zW?&t=71^vangM)4);W{K>xbB;-riT4s<jUAt;Xo~>ddrU+#;g=IjxDG5+t&L|2Q|f
z1<62g$wvtfCzs%-zH!MHt-}1Iuj$awQ{((eOLNJWq2M4q#3d4&6qlr+@o<SFT{X=m
z9tx4;p5)I1JYm<F%@g-zz+8|gwiprQ+95Ajz@aYa0tOAzgEL&%SuHL`C=o_}$cZMg
z`iUku?t(3zAV{2SfuHiT1zWP`9PL`aKQed2HO5#EnGT9scN7#H1c(?zqLX5b6gVEn
zaHKoZO&*F1JPCm0?b5PI{=fQ5^4A){nUyL=5Rw&jQM0xOCBCwv;9g50elVjtl~%h)
z+92vi@KBEi>2$DDyA^&ps*^R0nkWTOX)rkSirf?y9C^VSmlEwcSpz>6U=5116s$o%
z<Y1Gk8?%b@^R&hqqtrZq($YF(0tyZSM64mvNwG!>91m+a(!Hnz8GY|n?^J{&aZS!H
zQIt-RL$TeyY-YPCV@Oi^C0Jy9(Hfw#q4@qB{!e~94=#u1Jf7!0%vJi!)CqId_zCS@
zBF{VG^ecZ$sELF>REUK6`9~kXOc|@U+JSc)>TrTJ+?xwW$ef1%k9NQ)?ZCM^Y$eY3
zSvEBBr2vp0DAIm9HR%&M2AdBH_Os8!VqB}q0WjXlUeoYARHS=ias6wUDgW>seT{v{
zk9oR}HTML;IzTzB<%)mH-PE!YPSl$%<bF&82Q5vl^5U0}27o*+BWUqSX14x|Z(ePI
zzTxt!Ni8`#=Zr`^`r!AD*E{F#xdQ_!BGklU<ly&-5lVqBK_HyjNPED7dWEFd4~Vk;
z<cF$?OD_}yg``)oc5&vLh%FMwqlGi^D`Z6Un3PJ6D`Y4pA#h17erI>cL@>1Mh8uda
z?~q|9xDB(zvq~RHcS&txf}Pe`-3U`eh#`XWJ|`Q^s53(ILb!ruWDHJ!8zr0AaV3m8
znC|QnxkqI6b2y&va>wy>vRro0%r-dO7fy@=hiNoggJb64mw9p=9RsIbD0`a-{YzHL
zqJ$>b-k5ZLYmgbM_0W-KH_5!oUGwtR8FrSl28MO$+9^aYnLxA2ly)A~pvuR;sZD4D
z^iAN-f0>xyA#rmZBj?!~^j64}cgx)$hAVK#?(zy8Vc+=0(9Ej01uu7fz$(cvEp<yI
zaB5kxZP_0u46RDt`+^u6ei5qg*?cn<tI@}?ex^;)%W|GpP>lR-(#*HR$hkZ54c0Ji
ztAPLZj(-VP;HDW~frDo7i-%?gl_cY6r0rP8mi|LdHcPaI(G%y@H`;lEVd>~9elfbL
z;q5<V>Zovc+<1o@;kLjWr%Y`O*PR2(Id9EiJ+b&JNW~818TsYjV}4Pv+rce*VM2#!
zZgY#C)XF$%aSXsq!!0SXMUOSm!c!Z_w7kkri(B-Rj*k<hbJU>b7Cr4qtu!CII=?U2
z`8>Pu=1hHEXhO&d&e0P4R9qk^_~ID=rvLj?o)Iz;#g){2P-t(#J}!qcH-c2oo0zE7
z_{9+XngcY1*&8sUg)YiYD3w(FUL4h-_}#e&7v@8>g=3+Zj)d_$c=w)`{Tufe!BV)G
z?!`>Qf-Zo{9d{}e-@kDtS+$iasBT)EXhr)t{ftGpE(bO?-<AQZb2=?C4Idw=-RqF#
zFp>Wzch~hv{@Wp!b4SJ(;DcvJ27WTMw<W}k7{)}|yBpZEWB_ssK5P}{w^6iZhwo71
z{7H3FxX^Bl??J&qcxc%{Vv|~SNI~OSc5tNIn4dr-f=Pi)AZhGcl|c4|J^xh((Ar|c
zUsBR=*z-8I+!a?aCIN|B7dN0|l1kJXZ%-hXG+GnU{z|P&cacoZG<yxU;5`Ugx{#o0
zr)84Zig}hZ1hIY~W)KodqQzsLX%e=dz=AX)*6xmk;yf&bpZdl^BUWMlW@{|;ENYxT
zsm?<2&tYuyZn1eb6dZ(ySV&@%Vxbf?9u{(>yZRtdlcbR3V3ZC_Y4;<WDc5HVU5Y7#
zMT!-^Pv>BD?u<o+nbR5jVI~#&wZhjcMCyEn??%j&q2IL?KFvB$O-0mw?yoD-67qJx
zCdaUGfU(7e01l7vPnQA!L$R>L3VFMQi7Wwhc)LkF1ian&oq4-I3LRtKZhAU6-tL{S
z)o+w;b}Z}dX4j6h>jU8u^-?}>*$A)CdtSSMwdRuxIB;>y#g1v0%+7ABA8mnFC$BNN
z;Bjl_b(o9X&Ek3&?%KLRI^|c>IPhB>#SF`QDaA7>@Gs?NN-?>|Ygj%nb1kS5(H1Wx
z+5)7N>WzueH)LO3j`Z;2g~BO*2#c|n1`egsQX|dUqHZ>Eey?hGdkm@qL_hRbW=H-#
z*b&c)z`sDIyek4vge!1+8+io|#~XezEWXk!0_#sPOUh@%_06lh7OGD<g4}LMhK64^
z2`0oFOnyj1<L`?|iyk%?A(|ex4M7QG%~#RmNSnn?3VUI{ab}g|KH2E`1a!WWuXcvp
z>LylRK^l#fQZ!pj{4Wnzqd8CY=|h0@w3_CC3*1P`&q1(b658Pg2XS#QF(PI#ajtcX
zS6jI(A}`a3-0K#%hwIKUVsrK!GcwDR0>X3bVs4c=eh}ou)8jc-DikJEbk5Oy_PeUq
z@<Wb3%N35(x2;Wg4!s!Sp}R9<q<kZFGj{5|l#cNyk*J2^Kg&&92q50!{g>FL<H#-i
zah^G)N;Hzhi7XGg5xs#zr0t=o0^L_t=I9GdL%s@CvT4Zwz^5NBhClS=nTGJ@!i1-E
z;LQ~{Eb0#4vhxu+6FI+3^o`jD?{tL67zGUdogPD9>mWUjHX%k9uF;0Sc!#5~@8K>+
zT-c)-00p_B)UMW*9lO?UDU<5<Ye|S?^FJD-!mvgA1DQ9udme}5*sxfJ_enWGw~g`K
zc?<(xRU|YnyVRKm+_Du8In~samezAyj8DLT<TcROhAVKZRbGKZx8oN>w<`mEolVKq
z`)WOHIW5JM77!<g+o{RBoJJF?B)7d(f%;8M{U@kCKipO~ro4hQ8jg^Z3&Rx@2cuXx
zQyL4u?fBAgQ-fGI=nJbh=qs1)7+bk4E-KTA+_vM*;kt8-)tqfdHeRNp_ss3XoDEh`
z-ph*K8SHj2<|VTY#bRDQ5^hO}m>1SS3r}qz#Vi|V<d2aowg}FV7H8y2k;cD7IqHac
zks9A6HXSkVUk-LYPt42QPJaDss6S+!a;U_##f5;vIer*W>HoClgiM1>M!m3MA=CSN
zT+=yc232ipa3;HU9s*x*d~heRvh*sGo%R&%ET)+8%AUsFsD&Xipa5kwO!)$&jTiq1
z(!o&t@43l=Pc{~oMMnekue^^iFbDsr(<N0?ANd&_r(t|4?GVf~%z4~%)Tu^5mneg=
zQoUSE2Phl{>BOQaSkmuAJvh;HZ)8!Ib5UP6J-Po!e<dl1W(h~<?ybId{U{8GGdku7
zC=T?f>%3C@WaxRzE;6HImLe*`m}WoBhHtTo3l9@NT5=OL&!1E`Gz-PYY=we@0MX(;
zL&xZ7@U+s4%Jh*BK@i=H*rOMhsdrZaY~%AGao)g*mqOZd*oF>yYL)4uB=1yoMvA&U
z(HV|(BL!Jr@<CEGC#Va%ex-_ip-zWoj4MjPRRg4pPzvT;o_`V~2#E83#Xr2a&}ed@
z{VvRuUudsSD|;cJT%Xi1xxT_s+*hQ{6e;l$!q+dpw4uPh6&i{lA&7l}LJ=2=ln`c>
zgxV1)LGmErqQvjaMfnYUA{Qk+d0dop+!uIhJ!(#ubxM-MSZxeEvy5vJ>z{)|(q;eh
zE^Rr7oQ>R5Gl!UhpTa=s`rJ>JV)BGB1wWCwlK0PJ&mzO0{E5m9yOh0U&R6zBGC3Jj
zhinW%5_Y*NVB%jRMwTygadjgTHpkxruHh5FI|HtLeX=J&##yJUEOQ-Li{-Km1<y8<
zX9T;ZH$=Cg^cBuI`#g?@CKQ->x<F7uF8(oq-2aK^QI3fxQ4LPMCg7Hd1wiyP<@y)S
zr<rr%lP&>K1t$x2$2*O&s8Vb8qE2lL!jILISWbI$rIjodZ%3LNiqFeUdI&OJ<*`se
zK8N?rIj`-TZS>+I_=ySaF3dE{MN#&IR+A@z*w8&iT0$1j1mp<uyk_xWi*s5$SLG;`
z$A*d_DrE5p=8*uVEuPFp*|$O)nZ@%qd?Jg7o(_)1b2){Gk52K!@k*VA0B0vmN1fgQ
zhzvcijL~B>!E5~_ADfqU10BYXf{&dPVD*Kxd0+*(;?Nsb5ws?(?6s8w?TVO$Xm6wp
zC9~unAfV!w+J|JWg^Red-AWwh_$diM@sLmjUi?WchQ?nF-ddbWVhF%y*vQk9OKt16
zkwaPgU=HM$f-TaGFkua%$?a;3W(eI0h4$YN$|h)G5iLk|CL8Gkd^nsolIHC_jV~7n
z;R@>o#M@oEe5xKbI&5DTY<q;;DrU4;qY^nK#l%0r<_*Q)&rLMke2VYF94s2?VcA9h
z^bU0}k46%RfZ~&6uSiXcMp_}H*KDMdZTtwv9z70~GS&Ahd?M9HPaf6B8$6eIqzn0g
z%vJAgE3NmsUWJz(e{_sbdqAP()y5H<%BYQXGFS591*50|Cu^?1j1h#;t>UNTE>f%~
z$-WlX5DKUGL@dVA5G&CsOhICz39GcgF)Nbhv|u}Q2GjL|s|AW#<5f^-|MfzERE0uV
zSY$(*U=1GtrzX%>jt>V_z!vi4+0$}%?EEGPF1`Zm7>ak~9&0Yn7Z@87o|h;*(+j?R
zn;2hT1WGY6-i?`tInQQKjMs|A9aEmzujMc&_7@oP8;i7)rp+zLk#pLN{mD6P{*4@^
z@@caez(Uhz!9@~Y-?TYsJ-i!Q$*hO>;1gL7^yIM~=D1X_tJ$tijAGEo=tQG?L!TB6
zO2spqEt!KovD;-&nBAOcbf#;)y4t#!%kZJOampq+vNi@&p&CTe(9(&uuhH{WatvwW
zkHb(GpW=Q@=9<?*G4{Axrpj9TJC6>xUYmgZmF#+P(?!7+e-4YG_S~s<r|Pu9tQWP}
zadqmW9!R~Me-$>5{B1V=AA^ne#6f-?GMVAN{uAte9In6}UCJwPgt+1tojU6(gjz*n
zq}O2_VZu*YCHZG%zGWCI_^())@Z*G`RjE5-ouQ%ZN#A-EMpXX2t5{D&rHlB?wXIDB
zMUf-!vPcmoX`cElbEqw>v`*z5pdwAl9r}I}v@&EL@M(gG;dEiHMmD|&hOhrK1=kw3
zCDO!<VLtCsv6{^ND)(_d&YUn*F9*F_*;jAFiW&<jrT9`bH7ffWy}G!iL(U@dXOM&&
z??j><iZ9PiyJBjw@PNOR_tClJR?VJT3|>{kTjpVrllfL)xm<rGF(s>{Rs>Kn!FUB`
z8s?fcdxCKxSDEVQD0mT#<5di>1d9X$_q;@v1MQj0zFLc}dO?!ZB9xJ!m`!G$ttOQ(
z4<ePn%}(yk-AO%&?;^<Mj3Dj62Tuekelpakr814c%B=I%-eeW#7t}!P;%f5OQ{((e
zb(vl$e)P>ya1b7fAC=go!Vgo>c)|}I=}s?2FOmk5a`{2r*lkf7#kLigxEYGu8Svvs
z@lZtMqMXy(>nLe9>&wek1V1phe%Erw{WTP)Q>mX?u(>=G@pG6dKhv*97KY^l(g?y>
zHead%GT#I64;5)4`4hfI5QTfffybWo8F=IB6b`=ePWF|g?$3*KPYl4%FjM{k(9UO|
z23e8_w1SqxY~JAJy!4?<llb?cfjJ|l^}4f#$}(tA$QBgLw<J5AU_J!15Df%bUj&~D
z)m_M^Bn&M%wrQUdgEkO+iqJEU(%FCk^C;2N!SN_v3Rm2+ODVeL?xYZFYY>NVPOiC-
z6}zD7_xg~M`xe65j@}V+QUoF}h8;dHJ%9Oiw3p;&cztzdm&~<5u~xAcgBFfxGi$F*
z@i-~_UEDFHFpDEB##&R;uTUP?hLIPR>h1;W_N}A2YE=R)z5)vE|Liz}Tv2Faxaq=U
zQ(FJIiVuWydaOlO93vwu_VY8Od5nde4hK?5x{Gha>fj3W+{4dw;&6N==3tQ$Z<0+8
zn@K!ULi7;yk|b3{G<hQ>J^+<6&Gbk3L~9-N<k3vL!E=d}xM;c)Vf0ejg${XS%L~h>
zCSJK$FY(2kfSkY2A?HPxutnP{*R~q%)^*dh)<ms4GT!b)Ba=AgAGrX&UW8AZVPdU5
zb|YBO?T+lCe>PV@uuUHrfzO>z?ZEEM>{j~GZsR66<`E<g+`<GGEsu`3Ta%3mIL$eN
z>zMG;(an{;QD>~(g;f07)^jKpj7`kzDs*h6Tr3fGzxGCwG#SDVa*`AVlb<kk#q%kd
zE4g!CDtQ)QDJj8P4OuQfuw@YW+r;MYWG{=W8HG^%w^)p|{_)27Lq?o>)bh*K{cjtu
zLoI16#X1CWvL7b)j|8#zEZ;l~ner~*{4897d-;Y};8?!FFZzsLTfVuxpTdG8nVw4y
zP%W0RvSN$bDnEDY^GJP1j<poTYstNcuoN0#j)?#KoS|@I-6O&)NaHc2%U?@4TPSS|
zS6qBOCRlfQ?C_pX?%GIS`FU2j69v&bMn})kUKVzjg{v)&U7+TJgxv0M7YZV`#!&7S
zS~rBNDvp*_TX}@wMp8~%sk=#U4L3T3k7=z2rM8t+gF+Y{xC;DjCgGK`I&`eo8?P(d
ziOWZ&X$DmS(L?=}sde5H?y7qg`yG(UlyUx`fe(i(aAV0UaA+O;;?X*4BAb?t^v&$~
zXRMOutSP9D-1PY8grQYw2=0>PvcYXxr>JI~olekB`h$t%_ro~4yY$c0d;PRxKL!0X
zT!EW{cm)m$!Y>{QT8fhl*6%b4v5#iomyeibS;MKZbWUr7Rg#;CmO%X}FLem<l0>w|
zn1-cjXF2~YNJjoP(b^P7%iZo%sEhe1<;-veZc5=5I4A|b^ovq<T4g=mlyVutXw@1*
zya=Uar^WsEt_h+Uqr`3%_beT`?xx?@cT~}dGn<?Lx-L{TuD2qFTnH%a;!l98@4rv<
zSifsW9QU?BTpHvA{WCu8bUH!xO$F7fm`jdgI&kvMB7<;;!T3z46G7AmEfh<qX#NaR
zti|s`0vw9plba5?k8~j+{!ZSxrzJS(V?~e@%hdN_reW@O@&pGJzmo9+BARLgk8Xg#
zAv}JL-oU|gu$Blu$}SyE$KuZ#t?8Mb_MN=Jm3E8iN;8Bg(-riU+#u)+*>8tj&fuXh
z!Us?A5PmXLoMrcz!9zm<EQIb4rjd+8p4jhNm0Q|LlcT^jBG~Aks5Abgx}jAl*y#IE
za1c%kHj-GTf{jv8dV-A{>5j{wAqiWOl@er;UA|H<z5t@nXF!VR?^r{E?z5CMd~M@4
zHUF$s!MRUd0zQJVh<FGtQ=D!_U2yx8WTwP|w_Mz!&t3V1U4JF9A(A?Ft4Ys(ItdQ7
zxRY@M6zAa_{FI+_)Z7%VHBB$EZnX;YH(TR`&D1!5Qk@gxU%<fS43vpagMx$b5GP1%
zQk;;2#={AYbf@H`6FKTh-W+#4G<FF62P|S&oXsMKXJB2BMJ})>+m$L`-`awasbHgY
zDl_1Oq~O#ps2frzumD%lmdISplAf${mPvn*5EA3;$xVSl$`Fh*PIy5`!{SQS@(ALm
z{EVYb$>9hcnxC5uzu79z&kq{w9H8d;la^+kTcO|}K*Tx{ofPY&!11t-Bi+XQgd-75
z3S<Jlv1`rdo9i=xF330Mb4P>5E*CXxd+@}F35-6UYP2HBKxC(ZtgUo=wcbp(0w!Fm
z%}&p?FZ|8tzxb2fq!uIr!6Ww*HclSFPkrQ(FImO;318!pzozE-la}U@zkz~-01=N!
zbW%K$0>{H6j&#p1Of8C4isuE6vD=W%G52P`p5mBbk>a}E2XmNsJX9GcQ#r#_Kf<iR
zejQhP=(A0#_tPGNz+=Q$W2TI`pB5W+%6PrjsWjox@TR6#yA=psN$FN#&AiDKndHp@
z#8D~IUy3*%h8!t>uQgBN!-%-_c^Hl8a&A``?<5LjQk+wydtx|Wh?(*aXJL=wuH20(
zE8h~<rfdm!C5=#!$Z60o&rT;o%n`jpgB}(h{MZ8F01^>X;Y>V~Px$HNU^+s~X;Kmh
zF~{#LkngvlV=R!5o;-nkJkD)IY`O+A#Be9y;jqbaZ~|hO+ALlyc3pC9C%SP4wuyB|
zZ;CqYxt;n~>p{t5Grb7H%`Zi_5x9&d8_lRQLPuV}M!AtOxY2l&xgZ@bT4!745aCzN
zUk3$st3c%=JxyVeWS+04D0n{%pKi~XL?1o^_}wyZ^1!@|ytDQRc+j$<uGPGziWcCu
ziZx5RPxhJ<wdI(DOs?6`C#-BH(0Z)4F5Uv+Ppp#M3nJL;kN^^q4R`{d8rb+=Y_^5a
zz(uuYHxh2e6>uFOdtp-6S95nbt7;|H;<rPg{a=X5&w*gxP@MXLrgvJcc?TaJ=W2~t
zFr#_L)rcqn)QBV!HBwqc_(~~pU5DrW4BEjo$^XG83JIsDgQH0<2PFbmdG3oEd+NRJ
zoP)wkof~U3VGfF8lT&e+-SZuvuLWUqdr^C1GV<!vLMlR+TskAKkhzi%%}eEQMSCJ@
zj#y)11!u3ZJ~PE?y*1GqlKn0osI4%IkHuoFK<z?j>buIa*7WfbS0=?BDvUmwU3-48
zYdRtLRM?!))PF8CAvDdhmi1jAC>a$mfztY~O<YIGnsg+z$U<TaQW^uC0-Q=iU*bRh
zY811yjKoDPE+pX!KQpU^@sOELQegZFta~VaId6iP^7!p2L>W)lUvMbDOrd-bPZPYc
z2#~@F(85f^TsnEy^EIDNzGL=ZQ=}y{@qQ)b2#EnSQ@FPUTO6``G3hUs5^3F#qf|ce
z7DFVcPze>sQm(L=1oub)(-ZH^WA^WXHZpVRUVI{RiJlIQxpYkj{Ba$a4b$9sZWC{9
zn|H~1x1%Xu^J$?>Nu7Nn#UI!d=$^1Riz1hSwjEE5g5190J%;}aKwy5?fUfR!yYF){
z*TNqG!_(qJ7v}rmX>om(x{I8yUzflXHw+c1@jqZO)`XlL&(C&i_BwL+ggBmGeK1?}
zNU%lO1FYJj#9#auP-y>cs{8~mY^wz_LwC^)-=X~(K0KMmR+aB6=TtZW>!}kgqDO>N
zvcr5;JZ0_-l3?OPo<lnFsoXTf&9C@D%)$1Y|4Q~qvk}g?wi`{(G%J&^3JeS7tx7A3
z@T?$MB#!p8V^%M(jYZ9FWpASfu}KgItlc<JGPmm2TGp@C_|G%yON2ttG%H2FmViyF
z`lT2lU<ZhS1v@};vzf8V?1138!6!kBnI&*CK9MCrPaaEvH+U|4>34K%d!x}_drl_@
z%MJDCmT|u8E%54o?wAcI&@&va6TRpvKc!Bc7c3{s)pDEL&(2L?x;A}*%$0m_9(z%A
z=u%e`tTw+gABy=>vLk8A%VnpFYf1%JyaS7|Tqx<|eCuleUixE+vwp{djrVLjd<A66
zyKQeeT!DKl4X?nll?K1)f=}BlUhu5n-?mEfi%_3?$lBmt?5y9{5QbKz?tL^24O8U0
z%pKh2`5UfcwS|4bt+<cIMSOGgxqWobpw8Ln_K|!Dh{JbXASkHg)1kEf+lR+z$aA@$
zW&uf2^0+;ZkAJ2Sc*-u&&0s*OgLlDz@*lgKH@TF|@z=2>L-E&mgK`^63rTSi<o{Da
zo_4?W`^eo#i@+(oa6iOM!(72-d*QYhKXMmUwsO~kE$#|wmIv(e6(spv5)G;Ir*d~u
zkIeZy$mQHK^EiC)ME>I^Lzh|W8s?rErQRU&A1-vT*7*;Au34C+Su_=ZF2v33M)`G+
zDdd>cHD94UFh@ecL3k)MQ(}_}%}hb#3C(n*drszoyJ>2X6p)n34PwS_hteR9i52;T
ze@S!^9wqJ*M*hj^6aGFW?b~6yI|~sN52W0InewxHKBxO=k(Lm^FNYi<+D10u0Aq^_
z0UR7&aiFRY%tG~qGx0D5p+F^oX{UQ!h2|!KXgB=MrrK}7Cz@*0lV_^U=bvSx-LAqV
ze8b^B=QxE6OU<?IX3Sy2{SudfW|v<zI<4IwSGn1`XcTs?om0`K<jPZfSPDF`*68>m
z#S|&3J7I8j^<m1Aa4g*WWZvYS`8-j#A?LGobsNsc++)CSRnzB!IrX`9iQ8@;kbt|K
z1fF^J$01YRdG;5=6}acwyaLBO8^7qprOmUCm3Jqm=$x5djvHT=Vjjz4`HoeENx%98
zS2sgKA%;{*?hwOorqJ~tu=XF}wz|>f6<AgsEWkL-x2M7tXy#i^Fp7C2(pbo4nbe_H
zhn;SchBa<MEF6@ERU4G{poqFo7Tqj_Av~GF@1*`W0yr%_RIbB9&Is3Ce5_a{2ZeAi
z3AZ&kSZOpIg!|%f1;xRbBjE;5`fG$6TNI7-{_B0=3QC}Xb<BY>{A~Qja8pBASeC5Y
zYsqwrl~e;jcp}kj`7sj3mLPGYMX#kYUE=#ubfC+8j$X_A!cb@p@d@8Kdo4c<O$g0a
zI9kGM=>kDP9lsNR>A%<V<UB^Pa9#4jAs5xVxrop73J&k$QFvt4b!m|`9fg;XN-B!@
zYdEfO|6T6k<%_@z&L$?5zskD_C?9-B;E#%6Djb22V5VU~89?vxYVbn|bq|voTx>g6
z{7&{8wtc0_4g*FbZ!^uWcGH0%l&HcFrZ>Viaicb-#+RI+z{xxo4Z_(65XjJjReO-G
zZE_qMr7$zrJZq<f&HqGhjC5Do-$E{@C-E`(;PE8lC&PxaRJZ9#<R=kxH>mUU<HOD{
z3-pU-&6~IuGKFNAE<6i)6Ay=igAkE7k>O)>HNI^S`oWfP7hPwWkekZ%kq<%;UpCp{
z)w*Ur+sf4Z`~v94r$FMor?i{}X-lD-1Z}OW%XBgqymYjlfR}zqkx!11@iH}E51H~3
zZy|W2vhc<aXvDkQBHrID(?^ajOu{x=#o-r2fO!1vj&!>W(b*>fEC)0>D8++OVE05>
zPd<<R&q@A<B_VexqoT{{Q2s6@?VHE`!-eRAd+a}mneyx9d>;Ex6=?~1?EegMgji7X
z*kg+e0UR7&;jtGMR3VSOFm5G)4v#&F<ABE=zcY{h5AcaR_VjdcJocBO(|H<iTAllr
z!cteDsrtP>`s4%i+%L`W;|}RS?B3~~Srf;9)218t)jE6No|^Mo2mI><gF0l)pwVAR
zc}WWJ*FZ$NG&f~dcxB*MGVj6~0ktHs#(>mz`#Zi?<8QB2(~xBGrcJ`_h>s?;8=e<}
zHvTabRMTD8D6_r=FG1t1hpb?~tMm1jv5^;*iJxYLCkHF^EFAEvG*7DkRP^VBD{%XP
zcm)o3E`HHzPwVdzpm5e%%X~(cIDRvGeu-6*NyR$I`otozK0tNk_N83_)u*(P+ttO;
z@T(Zz)wR}Dtma`7Y0=fCcrjjsVD!P&b>o~towKWJDjx#E)#U;~K^^}b<W>J&U9S88
zGzpA;BDnvLj|zET9^-P;>EqIz8gP>t+h|JipKdy@G-$8s0oXu*-ikeqy|Ar-$p*Ox
zqG&eBO7ZXEh!4eg<Q{nJ9Bf35e~CR}J0af2GpG1LBV3epJcvPHArVTOMA<tBp-R4U
z5TDr2L45L<M7+7Fnshm#HF3=`LQKUc;v=$_qAHvMRO7!q7ADaH<IP&P>pBVoKeHBo
zQnrwu>=xEnrwz(#{j3B|pY29lXooSB4^?7Y*;{_~bgh0Wyxq8)oT`KMA=vOin?CBB
zVPF=AMk86)ZO?SZVZ;1p9M46`TE4kvl)vAZtQK#YaM<DO&SV7;c(2jg)16HYn`n>E
z^cu}B+|Ac+^`h3qY_jadwdM>Qadi7EchDWWGg-MOYOzDDA^%DU+KAwY#Hnfcv5HkQ
z3T58_KL`2GnNAaat?9MLN5^X8H{e&OZUB!@Ixw58pKP~#aI|8iecZ7qS<{WidvKoX
z=ziFAGc^lu)<XPSV;Zjco0@{GT_|#hy@{F;y&2ut=+#GQ=%C3^BhP?iNiSA+qUm-A
z;#Tkgx7i(wlfineDSr+mhXF74M%jUnBGEuHFcFQ-?1A#ug3Z<ftRO`vs!hS0mALmO
z!cNV;K3Pkrc#pybgzX7P1q(Pcy~!<SZs|7Q`5ETN(WujDcSh@Qa2%ZK1UO?;$6?Xu
z(DqCZ&H~p;8K6>TlVR(NRYd$K&||Wem8;qyazDfTU}a9$VIR5xR2?8{LZ4<6@O`%S
z%+&TofcOObUL3V%lfyd^+}=1bIuT6+eLyvM{?*Q8867N(7_DqfjKYDlla2jg<R@!u
zGq4j!y-F50fT-3?z<rLRlJEdndI4_PsMCUDd!U#@=?$RU>f-RLSJT~SW}-d1e+o%z
zU9^81u6G>Oa}t$|_eS?Nx(zsY9m~S4K((<Zb_8yS#8xgB3{l^ltcK2Xfdy(kI3X9l
zt>MW=@xU!S+$-6DPf!UQsf%e~Y_PNm81hw}+CKRcNc1q|DxjR!9w5YKW2(`cz3h<h
z{(K-=I~`4r0xS{S8~|IxpqkbA24%r0vPV*>_j=RaZCkhQ+qZ9I`arMVZjH1%d$vwQ
zd$&T$?$+7lNX$V^fgGc~2oAyq-kVKU!22!FeD>*p?Ap%cxK$0lQPn&{RMUgIYPuth
zs5eQ~)O%A+sA6TWHU?ZY(W}qySdk0^O-_wU_LR*Z?M@?wydhcFJ<#ga_K()#pqeHg
zRx_I{ZMKp0S9hmsz-Twl0AF_jsKe<u`#IWdkJmV~!+4-#Z5#%k@f)B_5JK)7W~QNv
zwIGywjUM37<iHz%dfMZS)+Eq?5De>4RCH&?%yjD_I5T_#c=Z6(Rga<`ly>BJvt7Gk
zG@7b4nxnOe2{`fsCBy5JB~fedENFvd1rrg#lR#d$kq-#IH`;^AS_C2oh~Y4(2*{-e
zk`hQ^BAV>Z-U33*c-w*tP3bk1HYtBBL$;Wp_sj7mdyYScdgL?kr<<(A*S!PNl$k#4
z?AA}X1+)@=2aR%8ePyzYHAac#0ltPJ52`zhOe0+fCIgKwsGQl?qcYt5d?;%;xoy5p
zwP99`Miq1u)E&&3cGoB4cP$2Rejoq*C;oXH|J=F+{=63dd=M6r;(PGV5zFAuvH0f}
z{PSA;^Pl+Vzwpl;%i+(v@y}EEXXy&~b0W;o;#2X@b5_BhGx5*k_~+O7=aRMX=L-CD
z*E;xfH~x9WVen@h{~Wy@{tV-v$Bu+QPvW0<9tD5ihksUqX%Vl(KhGS3Kb!E+%t`R)
zCj9f@GvUwY@z2Ajz@H!BpC4D@&rk5rog3lLhw#s;P4H(O{<#PLd<_5KwbwCTjZK%m
z(3LoJ+87;%MkmF@c$y6DZ;o+4Htl4gEkCq6Ov~tGJku;=CRw91H&N!A@dliCjHC_J
z%HE(17wH%a=x<m$U<?ojQ)BI>loyor2<xRxz0xRgrKpuMtvAXCb=>Kp{y)+#i+?#J
z83YY8-kw4IF`KL!Z#SF3w9p5zGL~=W?{5b-eckNUAS1yB$D<R0^+CB|g;n6HwcP_<
z5UJvIn!D5r<x$tRK<_{ew3G-+kO3yGcJFs-o|C`kWyppFcJmI!FNPdJ^KXC~HcOJF
zC`G`=y720&uY^7eyD<I~oFW1;8g0KF%TX9ygRK~fZ^F|>s4<iTIB^-wX|9EjVqumG
z83n@&&j&evLxp5|1&o0%-H-!DN~KmA1KZ&SScYvyFRaWcv}VA1LcAnYb1K7xbEYty
zoxE@^7H}?q$$3}rymaTqsOAX56(+JFKtZ{L@$`}nU-a^RH*t7tVI1C)7Y9LBaT{`|
zo?n79CI?L|hxeSOFv$X>se1}zd3Rnc1x>|oLM+qdgotV6l)@5cuE~07APc!g@^h7Z
fO=irhMr*t|GXZvKdk<PLgA-`Ob90yJ+L8YYvvuaY

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.char_load_tf_model.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.char_load_tf_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..0219a590376ac68a987a1c868f25448929e71569
GIT binary patch
literal 90531
zcmdsg36vy9b>Lh*Gu?CP9D#aTN+C=1;F%tT0ExC_j*&(dgGMkT85zBCQC*ciSvl2J
zMOD@uG9a;lEoqZeCG2O*m}4<u47NFpjMu_myzKg5?OiV`Se9q3<(b9CT6-7UfF8^K
z|KrGr$cU)S>~5Ks-cwIjW*k3${5yU`+%xgu_I2ym;eY9_K`&}`&dk-D%}%!&4o2zL
zX16h13OmW@fzjSKj9xdIO(*;H(}V7?-v~$PIw;YITJ2^(?2L|&(w$g5X|)G)y#AI!
z*hpI4j;tO{M4O{6$49f#WIB<wl6I(kO3ynO)%(HAy7gvo+hTAFz|bCHX(+tuw(tx>
zVJ-9K5y1wHpPz2-)d8Ah6rGz+)+G4R#&k1>`bfH|-Rgv+Bg2JyI#o}SersWvz-V!F
z8(Yl*j$})tT^|hKB|J}b>PzftYjfDkek{}*C;Q<dmKmm7lKKh!G>Udb)6w>5PqZ<b
zNuvX|55oT7z{x=;tS=mBTvhA!yD{KoaNyQswSL&^4i4N<PwFr4cNbgjuzvsm9vonR
z9%#Y`C{7>d+VzDH3Jm5NfTCI(P*h76YfFftx&8o#d&%Jq!-Z&FI??Jh!!rt28N#DW
zVR+GHfXmC_|104CXTtw`aj1Z;ev1Y;n{MjWTm4b`Y-o7c4u32t3d1Npz^d#oTqD|i
zBpKC*(T_&^6^y;7EXEeYdNS;XwS|7Y(}*;r9S}%6U_n~%>^veHhTb_5bQg<{6fnIW
zFg=-00;SbY^y|Gy!FGD!V7HUhTb)5bBor)m`$5u&7uXLXC*V*8Z1Na^?=D|2Bl?4Y
zzZWx#I}%-jbnTpNME47UFxLi}1ziBT=a~2r^20emot!rh0P7%Q(t{{jP_W!~=oaLe
zV3y5Jt5bO5_m0wQixT&o(cQ>O>};}tXE%YcZ74(}WaK)KsPLsWXn|}&Dp$&+cNl%l
z5<S&=^(2}PfUfs3LaQy+dp*Fye9&w)k~`@`tCJkx7a;jAg$W21_AR(RIMVHedx;`v
z0jyordA-x=CUrxKr<)o61oeua8BuPA$!ixQ%5?I~QhR>TtD{cY+UtiPGf#yhq}3Q&
zS>(d>H-FegLw?qg83B>o86rWgqJ|KvG@3~F7A7cx=n^&bxwzXs7qjU$ps@Xbc!Dq8
zf#A~o((h1J7tvkO&)~$oE}NL>wIp<4oRc(8bCA0XLKQ>Fz1IPLhY#Sb2rz?oD|YGz
z^ldgk&m%x31GHP9L6vE_X@yuxauQ=>*`M0iE~775hh_m;zh)wIDyt%JslL+D_#19C
zrt3SSx;nWyu^$C|eVC~B0zwi3&>MCd$uK7a*3XOX;YsiH_kF$g^1VL7d)=L`4~(Wh
ztTq*WOz44hBZxBAKQLG?>@-2h)y{xHreK%bKD$|A9mFrI?YcE47`)+Pv%3Tue3WkJ
zodtslUL<FGAgd;bNk&v8srOHW$%yp?w!ztXm?f~GM(J!(CP(3ScAm9)1n1&Wz{+3b
z)cI#za~3+aqTt#OLWA#z$^DST;tW|ME+xT<F+=(et+<$e<E@V8A9(O=AIcK|;b$d;
zZYqm+faBt6{ZDd;LNdeFEoAnD+K@tKJ9V|mG4dq=o}{o%SWYM1_;NpdsuiwKS@eyJ
z#G-F%#Kk&MsVn+B3(>@vLdQB1?-X;j{!RnP=lg-QB2jdZM+0%CMgZ{*{tn7xf%>R`
zgbn)wfdzcjp?swu%Ccwx6U*oz^mkAJ4cJEoG^_{551ndYg5w5^XZ$ewkYETOCubYw
zlwrGt)J0Nr>ZU4Z#!Ng-Wd+3;)mQqAzso;Z>j>g^LM5HEoJuhMH~tRn*yJ7LB@}h-
z5K>Go(5&WJ(k7Wc;|EQd6;=POfMoh@!k?jTy{L9z0w!Tydag84y1lSpPr7|Y`KRlz
z7eoM0`rLonJN|TiH)o>6k7AW+K>%*3CezKW4n>$0i*gfsRstIKLkH+_KR{p%F4l+b
zq;{&_9)>z_>G^|Uuh;D-wZT%opS)(+#c0-jU_iv*QeiI4dE*Pd7xXB1%eeKg)Hz<q
z7!$<Oz;qm?Q)sDo7cl5G(maWDb9n<P`ew8_-MTnzx5*}s9zZLp8O<ONht~s8bz~4C
z4d!z-AQ+>DFGc)dHhPiJ;OW7a)FIM0A27>n{?&GKZ2=1LcpH|#4MRHhg?4xgh7(@R
zCDHD53vVo=x9k;A&&3;bizSlmnqIf;{vjr{rQHIDzTQ^YAie_oWCH){3S-Mg0=CX{
zyw@0k&dLx$Bomxj%3#j!XXdOn^GKP`#Ac@B%i*7#fvZZN&18KyN?Fm0Efqf(I>^i^
zX|ZpEX2UbRcB|1!M)y&H)AfD_9u><yJ|8P*HhJ`bW{g!rCNt}2(zO`OKn^1c9xf>C
zZp4#ufDmDfUy2h<Oc`H<kBl!ft_uzo42+I1C?#op411c6U%@+!W{So`*X(pyaXWK!
zr<Jto?bcl(t)`%y3T`{ZR#fJM8X8k7!|DRV>Z{9QHLhWeOAc>@DN*2@Os5uGVY^u~
z!Y(4}2`fYNU6EngCtfud5_!1{W{TlWDX-*MNQB*0W+3qyHu@p{!xRk~fN~HE-R9XG
zr0{v$0%)l)aSw75hhGD6y_Bz>vB};n))UM^#A9!;e?LTSlPE~KYy|-ya6O2tAcz@r
z9Z-Yf-OdT6^;8WLah0IH($VzGh0&CvI34uDMr*Ov7~LBmf|?{e<D0Mz)Y9=U;nQ^d
z^Y9O#Z+E&Om^CyDe$wn)sT<k!gS~f-7+Sd0i|T{cKph;pg?v;NH}q3R^Sa_P!eH?y
z7`VSl;JS;d)-lt07R^GzBHfdZKMf7XAAvtsY+>XlL)H4d<1n>5od_Pg=K<5F&0%zR
zdZC?m<jlJYaCp@D8K(oL<Ix!GAzi!^%0T09qoVNx@Q*Oe_^fBVaJ?3M3T83lLi_+r
z90Ru6F+greqOjEu!cGHBvt|HZa(Dt3IT(M$4=FvQM&ODQkMUOGhJ?rC2rsSfj?*pf
z=@rcIH#BG~GvFt+o6JyTXo)|mjzjVPcEf5?J`%NYqu!jGqH#_*@vnnQUgJzPwEh_2
zAvs`}RW{<EfQH@JA>x;)$q|1JGY;anl)IuBp~wkO3swO7HG3P+9N(bH_fJG|=D6c?
z;Ob@34~048dUU<rM%D;mJ+R;H^;`8MRMr65LUj}}eJ~f?G8`lUx=-Ne1fAhhjhJsR
z7u*VM^aIFT7_`u=Q2K<#i}|&-MmK-eRrA5@jYp5(di226dxP6MK)&FrlH6#5=SYhl
zb4&FzwRYG!kwp6fd~RS81_>BkbZ9mA!Q$#tEnHd%;c)<FS8cH|)dVbehY5cHs64fg
z5D5t#`+{ySX)QrPSf&-OJt5d8rPL6X(ApW=4c+i#g*n~LfkHlALju4mpYYQP%BPnb
z&H34a%coliJa<u5ImdroLOvaZhTYg9`6N-3lTSI!IOJ2VT&CzcPcF|2i}}g!R?6A9
zkJCRL_sUQKd70e9n1sp#pJbeGTWEJ1Cu<Z7Q*6YXNfAHEoDID6WOkWh_{|K%Z>);p
zZGho>pt8>%K-1y%tRFEM!UG?#4xd|~aZMe1n~dKA><%E`UqH#;%Zj3dHzu$V4_MJ2
z6^#@4M>key<Fm@Ubj#5YvUWPm^n|IGzvaA;N%?S@NfG|&r?8UrN8|gHesfgri$16P
z<8=H-WxxRLn~pzUV9q#p5!_PP^-pgHh6?~(g#ReUc(pXK=+5+2{qQxz7GxgPKqYs@
zayVE~MRPEX9G5`ml|tIsk*clCS)tOC$?`aOwLz0nC|;yj7+|_OfN1e-^mbY8LI)fy
zsO<Qv)A$d(#5Ef|6#cRmBNmH+kiHW?A?v1}Uu*WI3&WHdc2Z(^(?Yk)a-C<<+?qE%
z`JI~#LN{Y0;Pz1yI@Wg^)r#3lzGXh@#2+LFH9#g3!t7&tF~yMMr%Z9Y17SAMGjXWi
z9?12xt&pk6Ug)DeP<XWCy3T}8{7*o9Y(XpD0n#Sk34b(7jn9KOC6at#4eNpU0<2Sz
z8xfzd#`P4UeOgHP4(ICOLcANWAy|PcFIT!c+87r?aiAH|04z30n#m@PtwB=4)}$21
z<_aXw>xz#8<)m9+m6D<r@iF{Kd4<aFEuAh)t;dzss77jsYaqVNP+9xHCIJW(V}`%b
zJhOY3p?e^yH|jP)@w~LM;>iKD45f3MsdRFU&uU|z4=^&0naan5*BV*N5bpbN%2MXh
z?o3CWn`>3LHI^^B+~|4bhF>?eW!?1OtvTIfK^Y0&_X%c9_ZFTRhV3k|uw>0yCFRbD
zzZQwg{+yf!YgE>rVDd(&1m0qyRKo}T9oTbucn6kT5&WVVu2~M##ct~7L~qgkw3Mb(
z^+${@maqG%lVZC6gE`c?6A&Nq18PSt?;wu~%gWE6`a4k54U~ws#|ol8sv^RjefO7s
zIK7Cl&={gfqcMfhUn_*;`qvuq!+$Vp8Dvuh2;i~&JXu#MCUl66zROP(>!j*Txk+}n
zA5brn@~E(o?2q_6D36KdkgPXv_8LE=Wl@pOo4wKBK?PKpd9(REAK}8}#h9CW@9@Lv
zLxgU%Mm}w26jeqqd>Y8{kM9O1_C@MMS;*syGYckuJ@US`XQ|HvSoT!LJSp2!8(;57
zj4}i@V6TebbR(GN`Zf#JQ8CWG3jip9jra@#YDY+h_V@%KX_Xwp%f?#Dv?&gpK|WRF
zNVT}cwmMR3qT|f5FrgJdGU^6m#n0G?I;NB~GU5*~biKdu^deW`=F_K!p-i}c4<9_>
zzMFGmXU9i~)g&dcwCBuQdbkXxWt<o*NqPZ3@P~?@qZ$0lGBUk~#ZTHyiW{bJDVdU!
zm{q#$#ELHz9-X>0_im__&ocTWc<abA!cUr2WC*d6i4~6-&ACk$j9l=A%fBS>+(lJ6
zSSqXN>(H<pI~0|ZsL3r{<}l+}xU`hJ*h3vsV5GiMAa~7nGns3iS-=DdtUrvwBcfca
zKTuI`lVWw}<5YA!@5<F2&baco95Jo#%xu;P&OPl2F3&c+7%LU$+F}blb7df*1)d*;
z8a~abAQ&O`MSHO*Up`|9_Rj@h;1Tk*&^n?B3<`xP5eU1m_1<RVe}+kh9S9UD)1!j%
zD?y*q_xKKcx&sCl|CD@s6+Eqc1n}j9`l+y%bZgDl;N;2#|8A@v{8M0AM%?c?Icr8~
z7n1k-@~8rLRByYA7vZz&FLiEvjhDv#vAiW&H~qb}7t2$S3#Y;0!2?+sZ@Y?ZhQ=&X
zm;a~+<F@ds0{QZ{j`w>d?n(sU-UOA32H@W1@4)U}@eVA(5&WW=0a*Z!TxF8!hG_sR
za~4<q*Nv9k@?BNys(YiS2IqH>yZzG-5dw`K?d~H(g)Rowq-Wt0qWgG{ty#rS6J^nT
z%$O#=8!>^D7oP>`Dr3lsa>^sr<}iM7*%*!Ag5n*6d170B8GrFV7aP9t7i}2G@Ek|b
z+A8^rdwddBx{7RC$X$s!X2-gUR~`d#5}b~@kl{&2KIT=UZVFDfVDG`{uyrCz268J&
z(c)5O#7`h3)A4sXKtjJ8q^!^!*bn49u6fB!6Y)>kM6ABwxO0mx>%2%77U(vtG{brN
zFo<ct-*}L#iENV!ynsa7ZvQOXu5uc(hQr`&cNm<mcOVSW4N$dbUL?G+Ig(P{2qRml
zBS}hRWM5u*h^l+^ZJ33;^LQz=<!~PHlcqHcfu=i;nIf?&j%$s^{L{i+$LA4n?xL!W
zDdjrOL&I*|kn1QBlXD$&cyYLnmU7RjKqqqU(<-$=?3i$5;@ahE?iqu3#S=o#F&z$7
z(<+|ORw}w;uI2!mQ_0g!CI|y}HG5d8IHN1t9CD6mTYEMg{Nr@|rZSL_tN8{(g&$(>
z%Ok|45bT}an7f)nBnwsKuf%gughG`Fw78nL0JuI^6TdT8^JDl#t|mRLj;nbG9Ui&Z
z?=CIh*`&?gfy_6#sj|zd!?X;iGcrvgz2&^ySrufatfDN1Z#yA_;X<A>qra4lLOSa|
zz-$-eR$*^rrrhUbt@N{N&PmlLgS)9&4$n^WJ4-M%U+ZZ6ZxSIk&(rVmXUL4dh|N6d
zZu7Uiz&lm~{})s$>NbDR-+|q2<{envX8fYktdg~pSv!VNWOtj-*{ZkXmi($ovodb;
zcIZ17*0j6L3>9u&AXpRK=C9MdxCbK2qT6hvJl$<x#$lt#Hu*`Y-k{EKFIefBs}5MP
z_21{&rdx3>`Md~!-ZnKE0mP5MEU%J3e~Djt36K7%Ao$4({(UY@#)cziUxsIbtKkT=
zUpxVc;uR!q$FD}Zo{oRIFnNoR#8W^I({$X)M-J1m`ay|788k~@1uM;PT|GW1abx+Q
z1X>_UPy)$p8DWWg3lCCtz3+fp`LM*B;H@JpfuA(3YzY5SVToTh8guJ2bRv0J;ui@x
zcTrV`mkLY#3N-A-4TU8nVsc@L99|q@2}`->jtxuLC`AgBv|4=-KPD`h=5d84-Y^FD
zI8DNHrlQ^^#Ukwz6<x8=#FwBsl|<d7qJ$>Ch?R=7`)-^P*tu_LQL%F6`kYOgs{~BT
zH_O0J0gb;V1p3Fxrv=AZFrZO%TDGyRrvW>DgZWX~J2`6dMYl{=n4V2osrdBd&ii((
zvE|C?pzbLQsw#Bij{}Yio==kIAQ&Too(3T0{0YUtWQM|YeBt<Vf>RN<rAWfh)I7!|
zG<>NTm$1_0R9j+Pgk4WM1%78Su3KSXEXGAos}tjT1>PZ$)c7*h%H&fVsv0SREuac8
z%ZP0~(-3TW!!SzM-l!c01WX(lZ*?w<V4B?W+8<SE%DU+zYc51(pvs5{ZJ1@(V~jm%
z9ew-^5Ai8P$qFouzgeQz7VJ`28C2n?MopHtH2wzY-zVt|SK5YwOi;x&Xl<2T=@~Dt
z2v3^N3wb|vj@q%#=%q)IpUFw!0!B-Rm5btI%Sn!lKZ1Qv#~<b(2=VMS9%wau?eiDm
z{#P^H=RMCAvq2vzgI?is{w`LU5rhK7?_UQmwmkM{WgsDI@=u|LkMR^EA0aMiIy_vU
zRc<<nDH61qv9ZN35t*2Rrz8UNrUUZ^J*LBV0Y+vzd=H;!d5oS`$8@-9v6ZZh!Ejw=
zg8@KThMDlVDf)0kbOl)rA({_vfWI&9_v>f(1#q0W`I27)wJ%txCyfX$pt&oY$3qn5
zd$_f(5y5%c>N{=MfO*xFtf}eN`2f$75Jx!xC}Dr0JAl6U>)ZOnkW89n*lUM(;-QB7
zf<<ug64(`v>&|%SS|ec_veeT`HWK=njYH2;&XTKh{#13#W|yp+esaxOHiQ<#p84&y
zNf&(aHOpbW&^iuYEKBX2%8H4ofci=&lxNAww%S_u^`a}GQqi@!YyBPA*XDQ!mbE$j
zqMGc=+T5gMc{Xe#J_svxN(mhcM~qh8Hi^sPG}2p@o{BBsyp&LC^y|aETQ!LlI9#oJ
z1~sc(g><o780H9Rt0*hTD0`u!?=^n(*@v;jKvVW>yDu5J+uwnmh<FDUBEl~#PeczI
zts0Z5gi2P6h~7acHTv~p-+>%30KWuBt;+0X&m|)t_l`RLIy7V6P$g~|@lO!I@OLT<
zKBJR#-XHoQ`K}4c_$x&ifE77yx81bJaoJQ>PVkxfO6Rn%ddKKUrT8+DMX@75{?^}t
zozr*+7GlCL4o=&MJJcP~QTnEjeEl}PC4<V#a~JhdOgMj^5NPyh=PN%dO7PVs-tl_*
zYAg)p`0CkyNGk9Z1F#}rotHPwb3C<~l@a_Te(Dr;vv*t$Ub+z~6*YZc>F>bKOS}UM
zFX5M!;iV;`C4;h8m6uwCK%+-HFZoeXf|u_1j@QdeV__)AOAq-WslZDNz>2)|BSl==
z9CuYXy6RKjaXWbJw}@1V>8;QCJFxQ_@4&)q_{G6%%egD_%SN*X8<c0fGH3sMF^5j~
z*+1X%18PSn?;!7YSvC}Y&)-3LOi&-i)OijO-m`ypY}ZM_n6t8|K&waBL(~2aDxd=U
zsE7*By_s`<IDLpP#FJgz`?;}%xIg3t)GO}C!cb1!-{FU(g1Bb@8u(O5#OwS|dt#G$
zDX$e4rj&O*^)=q%I;8v(R4Qsw-R<wdPJ+Axi<HMN4k@3VRcuKzww*%!pwX5gCX^{E
z=>4-!im~xK2!}?Ob}sW{qXd_I+&f?|myLx%<1+nRWd2JRp?~Oyr2?NZ5G(T81-3AM
zj={F@Qi8SQZ+&cE^^VQKR9_~7C}ukSt-k|1Q}GTgOod-oimBG`(AzR7e07=X`-DTI
zOFL8fu~CAlF7Xc7%T!}w(3olyt~?3KV?T7Vd$u2v3M|C{EW=Xc%VGvfwq6xqhT*1s
z2Fj(yR@d@|>jYIa?6q6Hm?@H;Vk{Q$UW$qO!_d2~F5OoAf*(>lXY&s7$gmw|+Vl5N
zfkEkBw~DCn+VOAngIW?96SPQcP{up_U6jWL@1+zvEFu}FR1?X{qKo^G+z%PG3`yuk
zm;(qPTnk<4`>QFI{~3SZ1u(h16tEnZc}eRFerUazvf#sVwc%I%Jrux)A#=(E4syuw
zIEjz@0rjC`th5(<*K7hms~k^(5?G~#yYnqsCo;{BDIZGp+Rm3fK=bFXeNay;J$M^l
zu}*1rjbXnJck%I)Xy^nQJbjWD^Wg%%0MlB6dZ&r$EG_ua>UQXzOvPJ~wxkgd@7f7M
zV>;e}|0uT)8B#!@JeB}Hvu2Y<Xy&H)aAD^1NqQ@N*6B0K;8x`7U5b@vxT)jV9u~jV
za!%_5xp&cv<O=W2S<*-_dwU0n>rOlgA1-t3&2^e}Or$yviAwteB3Ma}!vSnX!P{tw
zjGZT?s`)4Uj2rcpBs!A)*B8c$x?^E0)XMKCdjY%!rDMB^89%9nZE7ZcKiLG~L>SEc
zmk#$)qd_mHh&^Su5`gZaYOtWxp0eAZVK;tgPZ>jwKF;-SYw~23@$m^Tw4C1OCc1Nh
z(*^sXWA?RGdOlkMv+)TiTyWz|{CX%`0kd8UVpL^>MQ}Tn@vk6W^_7n24^)BTeNf4l
zw5w8ZDLj9$8lFAI$?sJeAICCSwB`-v_(hW-j-8j5a+i%4qjGA}0);_Qo4sTfktKJT
z(ygCAX67*6n%_owH5K*WTz*WXi}@AEPwM7NAXEr9YuIUNq)$N05Y5i&$8Kj?Xk27u
zFC@-Lk^HSOKW-`OW@m9r@HYqnRz-rJG&1lCy8?=2-7dXBH{3Wwd~@>m2|#zz%51m+
zpmF1e6bVC)Ce-64#0tw#2A!f$%+sn2kk5b@xnniSY?Yp`fJ&<(;ht3qwW(K=yr{|u
zi{MsO8^VTDl#4#Yuc!jWk=4TUu}XN3KdX@Naf5_gRR+k>Y*8inMUx>8RbnZ(znnmo
z^OTmX2r9<xeY}eK`WUHHQpMbu<w^##u*yvy30y2lK1ef6!v0dL6XFH*3t=BOtPSc*
zu&-hO+c<)--iX+C51Ud^Q!WK{XPp_7|E|K5?-rawvAmOr-l|yelSUL?*_Y*0!a<z*
zEQ602jkz_2qEtRaz`2W7Rw^HbhTXU!r6LiNv%7M5aWIRe+*Rd?C1aQhm4RtYD8@6*
z+s0tMB-6Z9OY#!N8QW@vp;zYD!=)#KfJzR?p^w5=KL|UGE*>@k<P@F=`|OTy!yK!S
z4fa0^)1sS31poXcA<N1?_^CMm6fn%bV>IYy426gOkpOfTt;|E;gNEJsAs%ALDQ=jZ
zbB>NNH`K}i`3!i46AL$U!D?Gb3aa!x1C>_AFnb0xTpqQ4!|d8BBP@hlT0arEwJfIG
zT&3qjD~8+LN=$sX5_-M%SiQ;^Id(1f7=F=2heO3!%3V=Rl4fe9U<FVmW^dzF$^RH5
zd`ha4TeO_8U>0|=k_~pKT|a?pBeTKaD0Eo9=;KSOq#q^FpXzkk?hjL&Xg!FKl{f3`
zt%axF&C)`f+)q?*)h75!BMHC2qdVjUQ_>GP;}o2DztLPFQTrYO&t0^#F8Kg7?8Xl1
z5{a6eJ(k0agIO%)o>z@<Br4O24FEHl(2QrMpBsbylFalHp8r*pje31B!-7FlPlkh_
z+YcNZB-6+^@yXv3X+(ctDNKKEx)5CRC?UqmHTY=-x#sVU=G?5H7$|>7;JJ%d=9>Ql
z4ZE>JTq9AF<C+|199&~5_iQiM*yu#geOkUQ@QMk;cwYIhV{o416>pRATVU-H;COa{
zZ~{MW4wp#_9uTsJimuoREYCkzCwVvFArkln1y^IGF{`@Da_#O27H8qw5jZU3D*V6J
zhaGQyzMpb;>iV3KfvW@{`KB`P(?Y@xP{U`3<2d=W;5b)!TC@}YxX{zy$x)Nw3(E{o
zOwR&VDn30=yUje#LqEsEFdaa0PEZXa&U9B{P^*eC(eD^3c8X>Vz|4j6@rzHsLmivD
z_jaS2n@1{-jCEUdU>H-^>7>BOtVw{sy81)o{Vs28_FOzm?%BUx{Q;GmD_G(6PnB1f
zki;6mm<mcPWc^YS%iFuSh(+WXl{#rkq?JiYls{>Tt+0DenmPf>j-531e_>$kq$zq@
zos*^x_xd5y)XJPT^&(7y>-D>ft#;U-qi7{WCFdGZy<fv~acjw9jgpY&%tSp7#xhQv
z`mCeLS%hgmU^!DgNYJYTK;3>gx7e>Qg>yH+*F*TU53UHyJ`TcuD;&%nqkkaFYPi%p
zD-*43$5LJWoPEI{>YlDOx}C*V6C$%A98blMkvddw51<3vwi7yCintn8qk4qY7KszK
zOe=ru%(eYIUBc_4+J8vqR#`WFc+DLpCDCIXC-v?h?g?kBTgs6?M^_$R-bZ%k)F$jh
zL~Ga&or*4(lu+WFsY{`fzSqHhM9@|K4(y4?yaTXnOzn?fG`l7n>&sS>)j1|D1|ds0
z)UkMz0hP{+Rkoh6UW#onIGCFbce3EC{E*tGgLjZe#<VIr4Y_LA0+GLCC0|*!EY-tf
zjZArO-xU$(&EWVM{|HK=?&&J(G_7MG?mmCF<q_xUc{R}XkRSe%XxpJ_WCK;d=I^RJ
zs*K($qQ{r{=!e*c9K)QoZ-8Wi)F`UpLEV-<4X}Vz&(1ZxAWO6m2X0>doScd&m7(z!
z|9I_#c$5LAY>slPn{WC%up^XrU{N>t#i4GpypFtFwB&jGz-VdNDuVhbMv+et0*xNM
zxOSkT#E#iL=j)i$d-v{`^-l-DpzWC5z-bc0-0-L?<~ctU6?V%q;3{&|C4NsK$6M!^
z<%KDi|DcciChxc%o6`?MrJ`ot?fwqze8xMl5Ep)N@LA~-A5I!=>6BN&7%Ow)!wJHn
z(WRZ${MabLYWI2v>}9pFFlek+;KYYt^utnt;TVV&8E!>SeE5WSY!0US4I+qQCqDdv
zzXLl{@eV9Zg<n>RsU9`jGALXzDGHkJWti$O2!}?OcBb-UqXbiZ+dE({Q;mf|W2&(y
zK5V`~pGF-IaRruQ0G45?@n!MEhb*iVUySBX{=^3sP^QJ8ywzk|khsD-_$tDjVs6Fk
zrpusnUo_gdaKtwJ3~}*BK*=iYf4;~O1C@KA*>uoO+6ium0x$UYKwoln*x|dLaeMO#
zxORkx-e4E%KyGgyS4<iv@nM|H>G<ZtQwr;ouqrUKrel<Z^Fw^dfb-Sgz5LT<@GBNl
z@5D+ooNZTZ_woS@KZ?v|zHeEJs8f<!5}rvQmAN;xW}b}=VV*5KUUgya2B?+ampp{G
zU;^9rCF3Ven;HU4%jQiBWG%ndXi%5ys%XP?dcK|PUlV}tqN?^SwJ-VY(6AdnlrzJS
zqm9$Mo$P~E2FPc?i`=o>$v$1B=TDYEZTx;HTy$gd??Bn|sP$(p|5=q07Qw9%^5S_L
z##<@VDRbj%RbcrlRPyOom5@te`>{&c_9iiZr^*01vcWDl_b1~QO_De=%q-=m6j>=J
zAywakf;H=9Hi&D-aevHYpa9}Kj=NOUzvFm53mj(K!K|CV@FW!~jGMybT9uJ|Tq?qN
z#f3U@-J;UXk|KZdGHA=84e*mThhBk|#R{!^z~+s{+%PMe;2HwXU9>U-T?Y-jaYLFw
zA|^-MIlMS%+fwezf)tX`ebE}g6J~$odE$~W_$|p3*PEd{JhVk5<HKJ2esH?pNd}6E
z9Vi(EEHbF?x6j7_xv<WEkSHU0-7idTZZZ%o(jhE?!88#(cFzOmYAt@%xMX*_xA>SP
z)MYBcT${a)pX-w=JJ<iR8RQQcNOy~f@zeVYVtO|OvqoqgKWTI8m4HeV7cvhm`!0UV
zXwD6_A_G50;JJ%dmVuvuhTYg987NVclYu$RIJm=7u6!1F#w6wI0<V}bjOUdH$KX6C
z7rjl24DxmX3xuaCqpMml@$U|1tR%S;wr1nA%DZ$6yRe+?qXl6me@pC=;QZ%OG|Dr`
zzm1i~c-Be=`IVS77qr7uVO!A!13F>OR0sfR(c*F-g=+wDY~8K1xSP>n(kXv)0&4iI
zdL#}$jfj^Oo<=RZoGU}^ox}o7=aprKCjupxW2NHLSvuhPV}*gLD%^PD_ZabZ&G?z5
z8Gr8ha$?32b){z9FFE+#up+irDq~j!LFG(ZGIq(u_hjticb2i+fq}7%U3yxjj9u8n
zS#Pxm|I!(|91Lg1?i!5N${|rk>8r)ziy$N@H8&J5(#y;^dp0Ngf1K`x<xBW)msPgN
z#(6fc_^r#Ldx3;hYf2Zj{%qbi$+~ME_wSQ<D|Oj@hJpB9hz!fZQ??o3uv0;avMUVr
z3Hg9Tsx>jTz=CIPe?9M~*xJ*3p?{wyHP)VN7|6tD{Ca5Z$y$371dcXA69g=q5n2a%
z14ruEwWrya)23Ps5A{PZhQKw(J?tp|?DyRluOO#6{u6{|I{qULlu#f#>ltx)T#t(H
z!5Wv)h(0ezq}Xs*-@rj_bsFtqGYkg9rKLLV3hdQ!%K@B+G}y-ubqU~9f*u^GCzsPI
z)y>BAWj3ZqtBz?SAS4@8MnRUyp}1#VOsbsfye=Jk&-&v4FVm&}8=vT&b$W8>Qa%OH
zQ#2<;1{2rOrLTkC6qmux+?T`uDw}SBQ=D;g#|XDu+?n1|Z#HYRRb^!~>Ps+uS!oZ9
z1jMORnFxwJn(1a!Gs#A0X^iu*LA?(<Re<_xb=aT+zxYk&{DO4ak0OPnx*ugyHYKvp
zlsA&{$fDkQQFSf0N!Cq&{fBE$%0hh*^6g76fyZ0m=%x0Yf)ryP%9X_s&Mk#3-F7Og
z$G>HJ8z$(Rz(4<`<Ni{KKdZvBr^`%3rJ^Z+`~4l*vy*rSmh2?_qFOx4jp1}>9Qki~
zU2VCu?x4|<TY#%BlV@u|i973FNC-4~^x@hqQq^4Si>O&87yDv2=jMoI3ok3kMgG<a
zX3>u}`ydt=V1;tA6MqMGg5e!l2nN462xcl1XB-=a2<LvIMPnLO<uTb07n|KBxD;Tt
zGKBN943U;`;ume43bNg|g1pzLWsJp+Y(Een81iVe*~*{r_gw&w%d?f)FbvM}(ys;W
zjPMHIum0!WF?;g^{Ui>yv7R3&m9oQAdCU(<h5SGUpn*?i7W0y7d|Av7%v5~58-ZQ{
zH*NjXbY?NgUIE%A`<F+0--mIOaMNrU$Z!|`0F2*Na?_sfG!SKyAe$3%Yu0m`8tbS9
zFK#x2I`?Jp!U^!$DCvs~7T63fl+gHsQai=Z#7UiwuP8jXEc`sP<_t%|^)vV|pOoal
z`7$^aG4E@z(hTR>6-y4hmPjO+1>H?)fSvF(r=x`sFERlOn_psL&=gbg`eJwi1NrvC
zLsvuN0o2Op3BCf}Ix<7>lcv569jfKerJ1P<nIV7)W05sB8gq*`Tv_2cf+q+#cTrUm
zmdX)qL&I*|(5k3JOm0;)hZo1HsHNQA;-n#kNLr#2$QrZPOemXi1SV^y<0E6Rj1$6h
zrVdk4f6i2c8|@iCF!lhM8r4s++ZV71JNp;;qt$7KXM*}5ScF68mWJ)5wV$d?L6rd%
zXq#o3EH;v>q;tU6%j9o~N%HL94?|F?+D%<<0uebQze4B$YbKvmfS=TEOartO^E_-c
z=7w2eo=*{Q?xHI5#CJpCqFJDyfwFGg5c5dH<d`Ri7YFlL${k$=I+C=Ju14z*zOlZJ
z{sX==2Q;299~v`(IllBZDe@D3qCl&BVH>q&!DY_pQqdJV;qL!Ib1L_^sTh&K^An!H
zN@J9}65D3}9~TyeGsqV>VA^&)y#yq*j=UXe_zY=;m?Ib=E`?zK4D)qlVTOri0Dq+m
z*};dxPL>GF$G(}6@T?=>4Z~rv?-u|LSnQjg9I<a646YjYJ_Z|kYK?Y%u)LLIY9WBN
zjHuh(J4&lZza==%==Yj1>y=@QTSdOXbj4)dS;A_q1A3l9^c0j&&i2APW#IWZ58LxN
z*GaMZk#48DY(fIzb?Gmq*d~>JtT2xXe?JD!zE##*lhcwd%uh<J3uGy8bWAPCG224x
z{>AwWUvV9qF%}DU88gmc$rc5y-)EIr`Bc_`7>D{wAIKT+KpZ=m6R1>ljo@ef9oVCg
zyaP*24!@`hO&NFQI2ryG*p(JX>LH^gw`x=kyp;*{{sJM;=+PdYWT<ef9>Iwp1WxSP
znpFZ`qAW(<Y*ZMZomjU{ijUo1F_XvfCM<7wtN(tbk<2<NmN4-LgbsD1z55ibFZltr
zlPT{YkBUhtoDF>ZwZ9u>t_l*J(o<EWz@j)yM9Q7k`CUJ>UZhxf7ty8hZlPt2Z5Qjc
z46dmHMB!zO8GqjerfYezWJX|PnO|JDZR6>za(px3|H+CaXQ~v;bWHkLbG89RVqeBd
z)*AIze4t%7!Cv^maDh}WoE9orD)(M$-}nZkt?BqBg-Hw%iMd9H5hj*v^g>>FoSVdb
z6EPZSq)v_GeUq_yIX?wmGT-D?_(XX*^yKhOIJnEn%Q=d~l;ugSOmfamm6LOHXq-OE
z_za!HHmhG5Cq341ll**ufA557urT)393AVKu{%vLnT$7IOL`;+VBjT2zggRrb<^Kk
z1KBzzdJHT4@&d>=E%U;4G;2NUNC=H7<&{1^_e&hx+zyAe{<Bc2sI~qJ{toQQmUm#$
z`1nQB_*wqaIVMHZ=x5FFF0OE6NyCo%n9;Cd6ckX*#@V5)lVT>+ujLTxwk!X@52ziX
zyo0=5X>nuz%-=zIOi&+H5#hEaAM?ZMMTCX25Jehg6|yD2ZPYTzrV0>+ZOP5kI>bib
z1tw~Fwj?8}%p9auEW6L?XK1j6zO-KP6W3oa1Q$H%^6GN$n7t`6V__(l67xJiBo$I(
z7=Q*om01+dHah123h2&fqlvQUm}h!4egl%LB_&2Ge4DhSkNPy+<{iA25?w5-jqPD8
zCL~@CofjCp@L_Dj&yXC)fRa`6VJ`8TV=^g*%?h~(Z7xr&?!m0$A6(0}lR{n$P7iKa
zARSM6|G{FvyF_U+bRj};qID|lU<M7SJ?ThPZ$Oeld>4|zbbO{THE@q(ZQ64*K|?;)
zCnb~SEoBfZ7TfN}N;90*9ho!=A^k*V8wRs46HWnT%OJfNltouM;uZ%;7tpE9y7I3Y
zo;)U`zLJzgzQX$ok5*md9zd;p^31#8Ehtjk`agcs6un^;>FfWS5G6t#u^&3rpEjCv
zYhheo<moe?B=Fot)mUAr^qJp*hTYhq3;>22ZIs?4w*I`z06G4>sLjIb)^PgQs`UHS
z5{Qle6bctjt#}N|RzU1$;mRFXF!VcB1}F(Tm%ovtYe)WurQBRePL~{zmaPfe!t6iO
z#jZ4{Um7#1$XI;c9)(}Qb^D*AqAQjd@ytECSaCBqg3A*legrEOm(}Oxb-fTxwolnK
z*}lS5Tw4ZaN}+fj)bQC}%2eRkN==2A5X9wKLjRUZp%7M;M0Gw)$%KI?g#v{I3sWw@
zz*v})o*ZGyWu{OZiNbboS%FE49B0`R*H;ctA|%TQO6II!J~Dkb`!bRYex@)L3$F;1
z3{J~h=?B+9bdgO0#T2vrf=%o#3&gS?lIO{!x?c{`7T)uRUo!;7_hB<eJhRm1d0Sih
z+OU%IWf%<@u(RB3|Eu1i6>&kA7yWo2^zV~|oYsUFYQsP#@ZvtSwn|>;1*R8DL<54F
z7SYxa?UVnN@M$0GAYc9yAhuvb|De%tErdb64LjoN3y`p!`N`53E>u=>R{RBoVLJX3
z4vJ7kUX70nZEH!;5VHSchV1;A(ko^;eXR^0h2`{BtTe+V(|9je5idD$lBJaXLm5cO
z9(o*V_@sbh4<W<_?V<l(pjDnyDyB#fVJ1^7*0eZIK`@a-VBQ`YyKFl>BkZ9)_(aRL
z^t3wm&?_j#yvC2R2<Ya`DkmYpfoI)b*iX(vLg}H(CXoh=(>6*U`Qb7w8sqOuH3mjH
z-*Y6yjHz3U`e2#NMww|hDUdIdN0m2HzLMqgd>|?{O5+x;s!{hGS?ei+`^?tckw-09
zM#ftmhc`-Wl(+seOvX20Geim5OzuQa6w?Rx!5*PRF4CPdPvL0ggAUO#FGQ-*W}npz
zmQ2pY`=HTPvYp1zw=kmCKA)4iKfq_lYFjBG<E!}EgAm5B_&~%t2-xo2R-f%4gRPaP
z>g}PDy;Py5B%rv9;7!L%g=q+<2lJceum;O-isca90tIz8&u<bKfkq@3WR!;*c9tp1
ztwOSmLY0c+S8f8`_$KI-g$~|~Poyg8$)PGaz{|;SdMTff715I~T%MkUBTqLUNk(;?
zj{Pu!7va8^J<&#CviQy%+HF-Z>=4z8n&sV`1Vs04LQrMUFUnf!r`M)d2c#L{gUyUc
zL<mv*lpIHj_@i>*<&{W=wD{Mt8AFLoV%V8-&;$tEl)N-!<^OlRaHvdYpSBEwjDh0^
zq0v=R9WKfhI%5q}5h;tG=ksAz7V1j%`JgS>f*~H<KqMy}Z|gTnfAOQ($8`L~!c)&B
z{#s^HLhgUbkh_YG_urJkt8l!(ft6-BH;s3^cZ#JYUDlYd<(#MH7nuJi%D_o(`FEg3
zLAM;oQ_wB{dVyBCTP`M0D49&=c-(TqQWCu`x7=%OTycr8Hm<}cvNq_+VQnmTp#rYd
zU}qc-R>mtoSlQahAaPn8>F=&N<*kltoIifCX)dXit2^T_0zy(PwqhpJb+Xn|0qdD3
zK4l;k+;H`k6lG*S-71k#-h9ds7$3oA4D(67@n?c=Pd7}a<KDhqCX=n#Onk-9helV)
zWb#q3Fq_sm|B`lp0iPGE>7@ACPnUl78GdS!d6KWEge1fGEOrMAo`tD_TT$_~ScCb^
zi3Hir`%q2z&0>V0$t2}wG*r}Yek*j!{N}ge6KOJfa%eIR@N)d-pXx(qTOZD1C39tE
z!_7x3D>f@oZXNgeHK*eo101LBt}xY|qn+xS@57w#g&pUne%0&zfUK21wdNvIf)~0`
z4f@dWRmvn%jSovKl~;`!hT~6TGlptp;c19W!*SHG#Z814M0h&;phNU|FGMbdX@eyb
zcJZ%3qpPGa3(~*PolhNFBsKazK3i5bszxAYxgO;t+YGw>CR~OGVe7`Q--jdHdH7m}
zC5l&&^b<dZ&`if)D@;N{%f1(DFfIF4IU>ahc;4-UaB<kCBiP_#yH3yvLw;%@Tx#5}
zL-zm6>I)&<T5zgW#}nIH4JG1Uv354Dzh~omyz02{wEt{e8DDt(U@@^^JxJ!(D;9~m
zPh2Xjht2pz)&o7ctOqs`%dsAg48*?T<sEz^k36dG3ulnH?Szm1aM=mgGw{`Mj57zW
zGR=Xk^6ayob@Ft*e*&&0cyZ^f`yzs=tcp+?>MO|>q`(58E4N$h&#v1e>!xdR8nRn-
zc4(+&Sj!F<vV5J@cl&L4*0Thv@li+dH4;rW8^OEZ?`o(DTR^f6!kZZdh|a`My~7*5
z9Xd8d^RAQ~qw}Jd_4CGvj`=&V?-=DBShlU=7nKH;@oof4XJF(rD(Ra(@|Mw(+tgKe
zr}&O9!v2eG=?kInT)fu4m6V}ER|huB40lN$ur+JhQHi@GGlq=k5ECeDmYJgZ&ShhC
zc`2%IEjE0SqH4oHhUa)Uw6;oiY%cJlNMUZg@<}1X@97+`R>M!RoaT<f87jEwl%;$I
ztwnruHVDt)<~Fu7lF0>W{gtgI*(iP(0h^A0o5MHWX%sf#)364!0Y4!J=Vm~tCL%2Y
z7ho$%vdtz<iL`jOHhclPWO0`NgimBC(UZ$kV&LXhCsa1fK#b~4K1Hu3o-%-o{}{3X
z(h1tEV9TAr&kVM&NZ9Dfge}@G(4F-#8(o*4*MO|I{q1hOxj$LlPa9&PAAWHY`x@Za
zAXyC9*Lw6!@EG?Vr~SE8(KKW#P_{y}52k2CPE0BCB;7pd4*QL86z#*AU7zmc4n~c?
zKLST6GM58RVd;dUBk5Kk^#o2*9*oj+o887Rf$PWSU}t3~2|LYEy7?z5foAl;h@Yai
z>qrV`2zDTsIqCMH{v-sI!a-7B>cNj~tQ&0mB>bG>KZpG`{MwOp8?}Xc<0O8C?k4cA
zDiF};Eq1#}r<;Vz$HVK>9fPouV5IvDoc+8sf;T(Cm2UNFjqcJCR2@K*)9el0o<?tK
zr&~$H&i#Zdu%Jg?0S^MD7u)+`uiH;*boK1$@P>3Mg1l_;b0R$#xH751Xp-R|dppq#
z7ltRGy`5mebpTgTq94|m;LRlZKOqikbZ@$|)#(kBTG(lHn@|c=&k$z(+WmtTJnzvz
z*1~?j+pk6SPO}~M0nZ3(BN?T;y2C_oWrA86r8CACqltJb07Bl$+Rb1PwfE>BjLPXb
zIEDcrDgqR>VN4@T?dzNv)=z|h@h1G<5OzlC`Tei~-fOKH_JBU18@z1nNV=J>?L{0-
zwwkpbTqM&v19pG9vp!6^wd_^8p#?;>qd8pa)g<8oV(A4$MZ$ik-o^%Z(Hp>SXMoe6
zz3L6ZVY6F1vxFpdPI#u*g<z>#lc=PT)K0YqEk>fdYR%RFQ}1CQokf_8Bk2~w5YfJL
zI}Bz3EKpBc-41-)!Hd-vTWuKJ@lm=PpP&=C!5+)N3}b6enDTA?`f2$SNc3FfDxjRs
z2_VFFYpIotUb^nD{&6DR*$aC$KuZYjKDfuw&31f4E(fwl8bnFb8_XX#aQgJ=x!zeg
za<((q?VmW%3{M?^l7j=I^g^sbpg@gU5-!0+B``5t;r;$Ap8Z_F?9TpT!{`RzWZmo$
z-6Y*EFnTLY7O9&kS!zQUlSzF6xTu*#qr+R%8KB9fnq*H2er?c03b`*mXK=QY)X&tS
z)`_SM{{#JQYIl+Jw-4Ylz@+w?A@KD85OqHNW<P7~ZllgoJA={@LI`1>@f%>7Pzbe8
z4tvnWP7q2-D*^m7IdC6PPq)$PECLM(!Ehdm3OK7wFLzG3v=BCdSI<IUQ5YuB+Jy}e
zwI^#KTyoT|!Q~76kR-#s>Bg{gY6J=;-O5A+@Fb8I1~Y)*lUf3<TL>Zth~Zr52*@P?
zNeQIT3>OEZ*MShz-s0i5^cq@Qls`5jTQuqY7JSK`<FBJ$`78J{NGI_%9y*DI=);jg
zbQxUsN8driTo+BIn;9^fNS**^5F*Ukt$^2&nWSpNbfPr?<ubY#)#5E6C}1<ldw#gQ
zZzKeujC!+{EV7&EAYTm4Ef_YaKk%fEM~m@4Z3JXJfqzb5W@8)wM4REy68?E)3;g*U
z{;5sEpC<m9nu0&O@XyBc;Lle4gI9&dc%3NSMniY@&{=|XhA5rLL5G&mt|;25M>)PR
z<|I?fR*Z>dv=SNPY9)nOV+_NRkxHigFx{at4$b<GMhjF6k_}J-dxP>(lw;(jzG3Bn
z=z!6d7P@W8i&XRi<E1P;skJyMdZkL|Y3+lm>nEsNFErcYU)H5lAiW#iA<E`ax~<V|
zw}ByG44}cc9OUmG0CIiv=qSh^uypYvL0~IT9M~Zc?9Rd20Z1$HHcz-Ok|(rYbbALx
zI&=W3yLk5lNEhr&n#RuW(gvo$$X!U`N`|M`lBI;5(@?`}Sxs=8VPnb<Y@N9A=+RqY
z$in1`YiLNqsas%H9o~j~Hbf|<^_#B#>L6HFaKjp0cHeH3Zvc0r!j6!B3q-l<C*Xw_
z;3!OyNjMkWG6Zh{)ECwbvi1MD;8rNq4?qhJTKeX)pxzJXrvmtI2_!UAN&D!TI89gx
zpq%$X&ioR{M39!ST+zBKtSvUEViN!Zql3SM-cRkLzCj1=3%b1o^xIt_WZ;7kti#<L
zY|WB9{@J*PJbDlO$*f^v^a}Gf-A?))lo+a0CY!zm=P<FEBYc7cm;@AF1MPqSP-iqf
kPZ|e;u!z35$=4*pxAE&~L9(1c={?m%`-Q7|CRgVEKgxK>O8@`>

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.character_level_cnn_model.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.character_level_cnn_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..92475302d761e22f2b7bb52636ad9b1d5c2d8152
GIT binary patch
literal 101599
zcmd^o36xw%b*Q${Xhw@y3Cvjbv$0LfkwzG^Wj<!HYy-9|JF;aULbQ9j->Cbkr@QmI
zTZ?0YNy7g&|3QM?>;w`*AUH9>BoGJ&0)+KIHpmZ45(3HR@PCq%gd~vF{CjULuc}^E
z^?Tht#+vVQJbL|JEw^sny>3<AHTBx{Yu2v8|B^GhoqD5na=uclwc53?J4iOw+SUGY
z*y;`L8|-@d;H867G80!$bld&78V-^*P@-CIG;49#8XOrU+pu`A(d^Fi`qSO8+H161
zvU+{0zOg=iWKgQlBvZXcuNf+zlJoY}D{-aT3*%sacsy(d`&zBwMgXNbz)DbO!>!>-
z1jbkN6$644x;iJ>*r@<)y+Qq~WTq?!Q(vEK<YPFHY-l!G;ov}jv69SIdcC-@*zdvE
zajfebwJwfpy4tLCyYLd8r&^U|_Oz+i@1#E#E7fChxP)c;$#k!B6h95>XVmBFTk7Z6
z*VlI@?Y)P(Vcgw&tlJ7Ji+ihAlsj=d0t|Kc-gHYj4m<7c-fJqo%FS_msnHDMy#R1`
zF9URM4L(3|`Y_+DEQU~^J6{zDD>o5g<!Y-{UPgq?$6Xlp1vjkgFV@#2Q;k+FJgK0X
z%|iV`7-jt;!0hAU|4ZTjC&2%^aKwPLxIyDAB^x@GMm$KK1`YR{;eQJXf-*>+%4+T@
zTCu+IKyOg#*MFqGM?vFzilT8Ttn~VESYC`Pt!iDv<X(Zvy>3i)PA%X>06tnrgZ5J4
z;lnJfg;|(MW`GzgN8?JTuFOPI+ShLNDvee*;8YeYwc`N6p`HSQ5W1dcJg}ocg_INa
z0sfxD$nZe@0wi|l+#|Z51=M;vqFGQ0pnIOlD<N>4!_`TBV;3+DLMgdru@7>s94;@`
z%C!awu}XZZv@0kzS^*>HqJ*$(kX&1k1Lmzz46J;?<`tNI1BmXbLSaJUt^xTBU&`GE
z$R=b6rA%^_wWkt_8x&*<0nq=hV9zrHM8;wGu{&sW=3BK&99K?(&>)$<CfPzgpaMbZ
zCzM8gDtThjkqc@sUNNQmjX)1gH`SMt&47zN9ncU6ZL$@CCnludp(YV$PA)eWx}6H@
zy-iRBB>C}hfXos>FH2m+|K8~(n_TpT5&|e`hGx^8%I#KC5%cBvs!z(xeUq{YCxy+(
zCIlcm8TC8sFGbA1EX92Nr%0>;&}S3SC~B8Ouq2udP=pF0Zq-PdK`l5#RvJ>F1l<s^
zATO0o{A?0E2$ZBRbS%8hjfG@wYfw??4~P2;Fx)rN#GFfG#LheYR<+l!7)DmIc0qIw
zPkOKK_4V4x_WB;)>yBh?U^MkcwW<1Bg~UzPgM1K}-O>qLH4v)hlVBYwc;yzz4pvwP
z@pEdsZcPQYXt-2sFN5+NB<nh-z-)mRy;B`v(JA8N0Tt<0;-g`2z<L5Ld}@IS@Ij*4
z0y(TIWc^bMtmy+dC7%K0d@`d=?{`gI=u|_3q+bsW-j``mG0jB5*FZrobyC`A;x`UK
zy0^LtvXkvTvHe*wadJ*JU~yxzzh8V(>VKNfNd2qYT(BP0$*BLi4Y~gW^!^(HzGUrT
zN!EvT@S<68VmuIjI5Q<k*VuY?^hCZIMMjVHx30{ON|c`QQy)c#zixLR#*dFWh(F>7
zu?PZYQ`K&C@}vGvisM1;swg_vGP|P=lIe&6=YBt&PGk&c(0|PEol@sW1wAQn96>Y>
zl37$_?M3wP2D&k^aby8h|7v|>vT3Q`Y?9ik{|ri@T74(VfE(5VY!zezQW8uURKdGY
z9e807m+H@!Y<0syk{CfHX!Vynrvk8g!x{>0vi87#2h%rLirdTVOMnV4IML|UgXcEe
zw}pF}jbkBtEz6aj^in3;rlj;J#)+MaI{x`p=n(OP?#ybj%y5#UWj=hE=b2=7sS$#!
zVi-DHmP43@J}b&V_ye-0X~4|hER3hF5I5>8IT_H<T=YMS%tUk#o4)^!|1g?eqmE&*
zT|1S5R3X$S3)3nnF@I!FaB~I7u-6WH^-!fw^r4&W3KB7m0Zq1T%?22Rm1Y_0w&A^E
z6{aQ{1)6pMi*e7#5G?P=J=|n7hJ!j`wXxKw4(?WkThxG73~d*^ouTHf@DHG5N3t#`
z8GYj?RmEjg*P7%^F~o4WQ?GOznh`)chmX&q<34IM?>4-Er=o`#xE~^L-9=S($ZRx3
zOL(%=Y*ZV)!96YmA^KftIC>xaxjXtzd_<H*zXgAU-4#hpt=%;YQ9F{U;9GayXR6E$
zLU$w==b$Ia0J%y7kC^=^8p8;@F=;gyy%`4TvjTAj-Uwx&apa}`qPNNDXIasg=V<k1
ztf-JM^_?uP;BWsJRbsk_@ijP*dX-Z2B`Acd3mg^<2^$)b+wrW_G-yq-<D;o{SP9)7
z<@a=}%>tVDAim1P6BuUYu#Oh{sUJ>ms>Tp149iEG?c-q?LvZ5;e4bM@?2&=M8|=AV
zsBj_EL-8Vcex{{T3nE#|-G!jh>g^6#Sh<X1ZXvj-gHuvzVqoV;a8+=i-3lq%gAZJO
z9+OQM56N($Q@o;NHPST~12L!qP!~I;`ic5UjjDvN1QD9(0$Dft-P0^clbJ~f>|=oD
zE;%D-S&HC-$&SSGMaStC5-+yEaH*cuUuDH9#9kDfMo+|M2&#J}RP)6Mj?>v2Wc|%b
zef}|xF>GWX={<~7{L}~cT<_rORzE%32bBQ3ir483rbLJQ9a#Mg(Lpw#LSIw@S7R!`
zwQR5!hZVo+BR}Q`OfisE4efJSu@BXVvHI)LQ9_>1m|i^VT0#wZ3GRiENc1c=Cn;@Q
zG*o_NC}y)#MUaj5PRHP@{TQ^<&MO(5xoGDt{toQ4!#l9h4t{aa&Q?vnbHrrHXp<;r
z(9-*imW|mhPD^P=!wKp=8H~DPK%ephYR4$=Ad3!*iTovh2gNZ#eT;$xcj)8Wei(g7
zFnG~R;tmP~!MP?mONOW09dNjM?O64-)?OvJ51w?MTeDuLVV%;Fwe3uJI(is~I~V!+
z0-%~nHa1$c)UUXG8>D>$Dun&e0ov{d2o?dBD*a}!e7w@^hdOY{Io*Dz(~f)P?s6sW
z{Y1ZwX$5GpM(1Fw0%im03Jqli;PA2#7PhP9?@G0*3_45nHY7a7iv(3<yL3si9t?Ut
z7|%KyPWo3s=RQwJAPM4f)`6!ei_Qa5VF9|R3cg5GgFl*W6V=g0DZD6vF}Wzh7O#XJ
z&?SL@9Jh!lTr<a6vcDKLp_rHnVYH`#xErs<$Qz5QQ3^mejm33Y1db^&7J`GY2eX2L
z4kRa38=XossJ53oV6?Y-T^Wj-aI2C-qQi`iUzD3Z5H}c%TMZUC&FpP_=pbOySv;4`
zA|whxKs7u;b0sIk{xQXA#Bf?Kiqq&Q*0|t?^}q)yRMA}-dW&9>c~y#Dsk}?nU?2C~
z)K?N#^2zQj0;q`pox)0zMS#DfHz@!xz5t26c@g5=Vb31g#1yg_40@I!s<*5t7+yV{
zkLx*;K<Y*hyxKj%bq(-!G1k2ZnP!mDW8of%d@pzLn~W=BD3QfOOVKYY&`Q^Xqss1y
zyg4_T)S%ZPs3n75B0~6jcnS1oixA=`%?30CeDo0&@b%KAfK}M63-Ml~F<lv}Vjp!H
zj|V<Lz`2X68lq4<@O{v*6E(OF8%exm;(-~oIO2hpatmY7ie!{zoL2bA)M-t1nwhxA
z1ngWi7%~kwWB20x&P6{*MWg%RA6+pi5^bO2I;Ela{p~6x9w3{v<Hk|qD!F#l#i;xe
zWOG6!zScg`Vs3}dI-2{%`A2&vQAo1p{~*MaOKFQ$s1)g>6v0IQn?`MABK)NGVuslb
zCX%@hwp51bVWTlOXDCec9|WAcsLDjqr=T#cHRK4Yuh}q+i6mY!Oq4;3gNZEV<_l7a
zob{w=O`vD9|KZH?ts&^nFpIaz=v6r7VBP0vm51<A9h&iSm6{O%9>PDKqg5Wl7gm4>
zi~FHwA^b>~s!}^!0{Nc;7+it;Xa;OuqRD6$pKeBq+bo~9z|(|-_CK~y<Umu-IHZi<
zhzZa^iPCf+*gZm?=5<BG_I4OXjolxxH&>!m;PP^%(*av#K}p2~<$Yv#Ak)_%#*Ya+
zB9PAmK9Jx~etD(UYWFf3V;dQ|gljH-N>(HRd<<q&6^(8Y#oe-~fi>o$P*zMnb(%%r
z?Q_9H@Q;E;kvk-6ZA#I<D3VS~bPAg>mKAom#?ICjT%UECxqAqFz6Ay=eCYziQ%7S6
z&JSrYd8fA>UOZiT*s2v59AmuIk?>Y85*z{YH$f#Z^m7H1f8F1KJ?h6hu!QpPi^}NA
zLd3Q-l@P@a$ByA>U^p$CLl}L+Xx1%1R1?RuDv>jdF#2c)mF_6=pZI~aqmp-!MS~@Z
z{8#=Cln7u>EaZ$LXOQ5{C;Xlt%A#n<`j;D~bQ&9*7|4em9#PDo!IMY$7(a|YBpBwF
zJ($io&?u@9fQWA58rbU?4X0x3F%E^F5m>WnK_RWwSGuTrihs!Vaa;kF@`|c`{toOo
z<sDc=6@GDuDkdGsugo&0O+LNIXlrbe%qyP`5&n$syr_0y0zzp&02^C)@`-1$<+yjS
z(Ppsn&7^6u+Tx!LfZ<%IEMZU<9PFzscl#j;Oh|?=tuO$K@YV3LxU^z3NYa|o?ZBcd
zyTb5F6asvOfthR+hhF5udguznzN;&+k#!+pn-~^uw>vtEP>Am%#qzhtu*IUX*bK?D
zx}D3H9mzCrEM3J*UjecnFs3yPq$JN6yMKuOPV;0(CH5PA5c_22>6IglEgcE@I}aHn
z&>0kV#?q!17RQ90A$!=)5N%BfefQtNX6B*~z(2mFtYjnYXQ_^|FGbl36MY8yN%Jb@
zRv1g-<%vq%8r;JYEZ+^aDApVyjgjRcHqMNMNu<)xz*^6$@%M<)kfw)(YH)=s`Z|<j
z8Trxu_{fs-(=~}p_u-au+Unaw?!sjIs=ntpjOC(H&eBqmM}Lid&PCtiU5gNqPQONo
ziB{%T*KAo)zy0~GMz2w6Htq<6eFqM(0|q3j9bZ$_{u4v(KNdx8^bc5rEznuvI#+=U
z&H|{`%Z-`@%l<KiYVAgv@E?o{)f7-m3YBHqur%Ry!*dYeT(NwVpnTuJnOJEjk5$|N
zjA&Umj9#tS9&9bJ<X_#mO7rJ~5<0H5P6&~<F57=kiy5#K*ocF$RfYIs4YO#&qi_ZT
z(}w!Gh7k+k3dwjYCy!Lkd~STGYa6=IMojT-1eZf|jzvQJq+&i*%M4rk`i5dd+kN_d
zMsr>nBbEuDP2jnUs*Z1=Wx{KrVK0JcsZe4kv&xY{j$@U>Qtr}x<RYg%$yot7)9fuZ
zIb92YPZ)w=Bo)2@cnKBtvd9a+0_(=96REI>JiMaPY|>ge1gGORET}^sy%LaSimo2c
z!p1i^oFurh-|a!F3LSib3-M)Q!R~x;6EImEz)2|G2H2Zw3viIj!m0=zFI;iOLQuN)
z;K7>??!9tXaHs_fcd$i}L`n@3cPKPJzg#&9XS%eG_UgL>d`9D-OtJ?|1<(w;F+%~*
zrwHM(3%ablRGqB>>f3$H?#CB^-{Wvh17H`j{C5X!Nb+BX_i%KBNLwSU+XR>z9^leT
zeI;p_MAw}_K&n7-v$dBqh3Gm-^k`k0#ZPKaV~VcV7|po>M|R;E4zDKg+(lK<6}=D&
z=Utq=56XHGM50S#CnLHt$Z?3SOu5u5Z9TH=EP_#wbhnaxqu)ddn2R37fASh5WZ!dR
zZU!m~e1f{gl%;07daO*@o{C?}G^>(P5k12E4eaztc9~-M(+tDEH!6lV1BO2im3@vg
za_7fbKVmY3$1_}0_H#6@X-aRCV)g%`9If)ze>7@`xRhe`e=8LoZi!E`4c&74uKX?M
zg#`D%L36puUfAH@!%9PJaD~u)!9SjI4KqADT>uhbz`1A|Y7C<Zj$nki5Q6<P%+o7`
zw<IWS<XwmLIQ)rz15OkwgKln%<$bWR3ZD38U#tz}nRamg)Qcz6=DZbRJ=;NglM+9-
zi-0f_hNXJCS#h@=c2_@i*wkI3xn#Qo92N$2eAPMO*<Skd?}B@Vtebp&RT!u)v}1Na
z6hUxMVt&J7yUosKETO%&U~aI!Nuq}3CYbgbE)!D|`fR+wsFu&z@+}inC+gB*gr2jq
z1)qYRphw8YLa==T!$@vP2_QOvkX!I{YYf{%xFJ0ac{%i3A9N@8pmTJeO0ei@(C*5t
zNf6Fx<3m!6ff3KJMPjwH3k8gSluxU5WyX0N6k0SqBTqB{I#*IxI=$??89MxGMoM~p
zZ#_%NyAR-CDR~2YqLe&(GE?%H;2w7?eYJ~u`*=*LP-wW7elqGOfP>xY?HcH_7fz<Z
z`3$gQ=(58OU6$#?Oy|SB3~U4boknV(xfMTEeP?A_6;j6XMVB`ZaKaS&Sr@W?mG^F0
zH~G`mq4F$vG<LJ^(x`bMa8DPTf;3N~V9k<}Y-NOu^8}KAPtJ`kAJCC%_PbCiZ~n#~
z`#Z4bZ}1K*Squ0@bwZTUKW+$)OE!A~>ln+p-!Zz-NnKqAQ-e1?dxAR2ZBP7l2D|R;
zv;XkJYR4|`Ae-c3$v&Ieq~m*RWMs0>ytY*q7w)ah=lenR;=)2{*tJG!N@nGqLT;|T
z(;%Mt$pZnLmYphFKGL)OeJhD#c?p-2GFOCfZ}G$GovbW2EQDL}cTgM|V-l`6d$Q*T
zwkS5T*^@u*?_dOMU>{>phMSFF>j%|`3*FH5Dlem`f&ev%@*xt%ZkZ>_VzO6i<wPGw
z(Ln~m82jiy<i~>ov5T9dYhZ1gK8n<w>^6F@^nE{o;ES4x;p1+4+wfB)NACcXthirU
z%4<y1N!+;Yp3M}wUhm}c-s*a(=U?u;CG64SC0m6Qi<NlJJ1kZT%`l{tw63FX;5^So
zf1Z1~(I3Wb@vGRDrV05P#|TVFc3=9W6HLBa1pOko{r6Z&5)rV9CBZ}qZa+!$36y1V
zdJpTiv{OrLBPVhqYBF|^k6`6b&*-*{TcW8;ieG`@r8#~WWZ>x{>!CSEx(I&KtR_QQ
z7fcs9-)PPaID*I5T+bu$+(lJ+StwoP0%+KaAc_Y{>}1wlGstnQxmwCS&O;+omL$GX
zAY;sSQ~B&l3|TV-m56n|Zi39<3xi@&zAg1{sp!NOre08pNO*GCtyn2P@8(;WsuzKT
z7N)}d2u6qtA=o>;5nq@RQdR_Z{FQi=QRqsEK+C@0D*)VNBMZLSLX7yGg&6O}Ckipr
z)5?SxU(&6>DV@DGoNC!Uwi40BTP77<RNx#Vu=t}cTS#dhau?$coQRy>*CJ22Dk<kh
zZc$Mu>>K^16hX97{A)0wsuIveu|HV&E?GDE<5dzYR4~pr0;ii&x2RLVaGQn#vme!H
z-!!i(W<>thC*u<mp#>s*AB9SJBYc18@4)V`@eV9;7yP0Uj}qY{7o4J+hE)M8gO(7$
zw~dx`G8`e0S1bhZEyAJEseP9g!-iY*3P%e!_Wh2nS;ZR^Wzi>1nJM}ZB4b>i^o&`3
zZj8YxP^dPR8X6tjC*2Gn<n>8y!%vYMy&X`p;y&r)bI4)oj<QK2@8=yjU$hTo$SH7_
z-2(C@I8kpy0xbCqc#;k(Id<p5iLi0Bt{m@{x40A{(Nl2J=b|ff&plXr<e;uj`AxI)
zM2?I{#5a9j5zGtU^jfU6le4{J^Mm4>?&HcNJ+BE~K%Q|M?(#qr0SGLN!{AiAADpPP
zApX$~&?=xfh@d)~vnrL6NM{gAOVSrv3`cSgQT4y(p_bJ_eGz<cIH>qZQ!j=p(H+!O
z<5)FJY&7PUhl+dJCg9vfRnb|<J?%lmUi6TADshu>Pcx`-xTltKPa1(*Bn2d+)CP%U
z!jX!0mpgmg5Y#K~Eb>oIZ|iC*Ix%<l0ccL8P&cI@xZIt+A1mc&_k8Z`M~gs0?(ByN
z6@G|$yZ|9CgkbOV3U^ir=0fhQ(6thQ7I*f40JuJP7QZuh_B;4Q?kqj6j61u8*VUBq
zmZeEMwCrRjnKW}~LT;@N?--8lOC1K4-a*#2oy<76j??lQw-Cx0#^jZ2`b#P6NZYO5
zoR`D7F)t3r`Y#|YCK{42uMX!}pS8?Y72C}3EKApXt)ur$FM9pqhZMun8Q6@G)|2(f
z>l1d@FY^NLSkt^1D&=+8pX~3z?ymC=EbcmfQMJ|R?)vpcOKvTqT1cvMY1|rF%w4~Z
zaA<UDch?y<-1<nk;OMSjU~5)!lto!|*R8~tE+J3soIzwF!|a6!%A}gtnXx<RS)CM^
zxsw;#IcE@8!EG~`(n<8MAiq~U;&5p$1u0?<t5%VapZ@P$VGdo?FYO0=N{gb<4VLaW
zO8yFxAEGxQFU&=6$juTWlCoNrJ<ZW;IXWJZSjq!Ma4(%JthAFG1jAz~*A|bZpqZn@
zQjqq>h^BlZ_aN19!M#w+8cq2qd~ifl@RO$f4Yg7zn)0VcV}>qPl%^6*`7#0LE~?rJ
zg`z26g@(Q8p=gT4O(vR>L5(AtVk!6Jq0tl@y+}Eej8-2clL<?zx?B;J4-Y}V5>dII
zih7$A2?Fn;q7#d#oV`V-Qa80I5tTErQhuh-7g2e95lASa5<m^#dWV8wgg9qJg(28K
z7d$~gi048P6`^+}0xc1hzlBNmMO5%Ri>TZP17i^tdRm!?N*VUl!Y(AfUa}Gy0=G^k
z1OXc^6+p*`q|7@EMXh~6#GYr;6`xEYDR}`~wSx2++z8{Xlu8u&Sn|@p-!)&9b(1fx
zj^KxZKO@$#uC$Bc^um`8O7)AtXEUz<Rb9svIZ+SsH1108&q!ojvj!AhtSVU586SJ4
z_hkTrPx6W3qu*s4ek$FfBhb`}`(2mhVJG2s@mV4RxXf`q)JeJUAaXw0iCj!+$)Ym%
zcxXAvl+nAfZ%7p2AP6Dv)sVEfyGmJ*CgdIIgk&?1CuWsAR0QY375NZW+9{|9_`{!a
zoX;xxVi8ElD)~Ir@bRW%l_119t&$JqXq8(fVu}R8rp#_iNd$$bEeb}H2+Ud~%ti2|
zEq)(hWLC+);uEd&(9_CTC5M(8y_K*<uAh)C0^p5df&8aKWa6Odpwlvfxe#0ff1eY_
zl~cO|xI5E)8Qe+s3BSN(cd%IL!Eu;)s2SZ}F5lBJne0Y$`A$p8H!n$%r8Gso5a9U`
z@a?)vvl{|LVZ7MxLSOtfp4LD{Q?K7?hKF$v-R=O_>v|keJdCX>??OnoXRjw@vK0<`
zmSUQ0r?a*K>pPE~^4m^ZW!>a+tHX98Tp1SAM^0;+;r4a9p0wRM99}HFU}QEeCTwu^
zl}<z@NeEWE&c5Dp2~^6vy!2Fm2lnM9-hpL#3BRaBuPiUkNU6YvZG@h{6;Vp)SlDm0
z>Na;=)~&JBr1X?~UEz6zRikU)1h{paFoki!DWGPRWyy<%ip&g2Z4y-kL8UKrM7I5i
zw2$T(gHYK|y&(EoyI}06eyP6$J2~+VEaZe=9OQJSBquJWIaUgg)qO_m#@yy`nkGP2
zKgY0Z89aW`2CvM3dq?~IMlEAd_8IU40kR~ERc5N{<n@rh?;Hpn+Y4nQF<8$_*A~n(
zg3Nu_##g<=_TIJOCw*`iiruyGH-1P)xNCy}Xy8+sNUtc{VK?nE@@qCNCnSsdN++@n
z+jO=t2;4r`YoJnIm3X$l13L%t4lKlkUo<vOO@Z`|-YkDv?(8iYEg2(MW+kT@%-pHu
z-ClkP;n3*Ri*5%tfUNUgV{@%{$X?d+&q!g`dVwF35m<`>I3jDEo%N0~Y_*Y<5iBKs
z>g?3<j?0n2)Fe{KcX{1U`8%+)6Ys!6K=@@c>@+Z1GAMhc+3DvAheoG%cJgDR06RVC
z9kQ35hQd%xQ+?78$q4Mk034B>F3A&E$S~LlTl@daJ8lQNeT7IRAG`fue+PDU;~iMo
z4Zk?pZJfIz*PNj@Yp_9a-pk&_=GA5YnZc<0(5`d*u-Y-oJFw_=yi!~j!58^ED2|L`
znUon^c+Wn1vLD!@*vOuJbhW>O5wKC{?4t}eJQqkF@`LKbg(0Wxa^KIE1?2v+7f`R<
z9|}V;x&JahBqPXu2B3jYg-X00%A6-uoE7(4VPRHz7tr6}9j-&%51>+BXXTy#4(uez
zJFtj*{NfPz>2c7uXn^IQ=ZB28#+UKM4to9|q0#8o&S-vw6kxQkddKW#w4pF)j5bB9
z8G;7+FI}ztjUSc~SdD==BCDNiTX@Ov*fcLCMkasjW7}}1PN%tMc@0#`%U5UnJFxQ=
z@4&)W_+?UjRWjN##;%CIoM8aQ*|`JZmk=6_UhRD4M@Rv_y4E{pFJBFXLF20p>S6Be
zhfaAf@Ix{JS1|yKaMkd#xIHCZM2s%PxS)|^bYZ^r&a4GHMHLMj_P7@<BOKnrd&y0e
zF;S)JBe^a5d;GxKnVWZz#fR-|*Vp@d7=cHNo$Z>zhS#RQ-w$m;d`!{exj`Qv^mkDl
zA-tEO^kI?Bh$~Gt=UQj^1EZE954|{Z0Fis0<(vM#b0Bl<b(UfT_RoHRy~xVPaO=*}
zC()RW94Il?@(KnNGWhVgjobaO`mixv@?(0XP4cHTqfMX<Ry@7(aqe6pnN-Qt66NsC
z@|7#F37T*nrMQF!GHD>eMm^4T->rC~G9^`3`*93cD)M7=PBh@y6S!b9p!^EFav776
zf=a7~Nk|R&(P+2molLx(NL$i8h@Oh`Iu||JKfMYmLarMnXRfLoADYf9I1XSsvniRA
zJ`DExMG!7BGq1x+JGo`#*d$i`w&CZe$vr{oPzxyTFy1Br7j<^#TeS-2#2umAhlz?M
zk@mZAK`5NjL$w(_GtWrBd05R8;s^AouOuZ>{#h+IR@7}%d!d$fSK00G0TdKm1QnDF
z-Hx9$1!{<FeOK8Op+)$2{Fe^;DWgHRFvo0BevIsK0?=Jlb%qM<Ec;1l*oz|CS;p|A
z4|T2E1ig2ZA@Vu!qIUz`Ucsq@{m_y7%cJ!Civ^Gyy&4MVy%+UYpzLVK^;)za9%Ybu
z&^wzlvLIpgm5%B!i~_~yppq|FTczVdsQ&$tQSGs1{(6)lazuj}yla>!aqPmx7BrEw
zBe`g}NR_jbr!Z)8vzOF{vSh7OqWzH}lZWz(-#7Z>RMdMjcXEqJ?DH#=+jRRT5bA{6
zJ?z*w(k-BIY>Fk#7vzE?eIap1O6Bacb-cU9t(U3A$>iIhIfqigPudK7rCtuD@&uzn
zH|UB|xr6|87af@ycR|Bm6p>P4_|cR~G(gg4S?8c%^yzulC}ZT4;KlDyt#Z>SJ?~#B
z?EcuO*iF1z<>)Ab%!6K4g$Tn=Q8fA_pBx2>{z{?xj!{t^eOn>qBL*S={3v7On6{`D
z{GtgHhgz|e+fz)q%Be~URs?lp_C8$QY#uVJ1=Y>9X&z=!f>m?!R1R_9q!#wVc)8IE
zgI0feF^q99W4E#lduF-;IOJiaT4!5%YzjtA=M)5<c4kceM~vBWi(jt<6-wqqge0ry
zf}b?H@Cv~+T@y|h%_c7VvC)_tY(>HR0RiVOI<kWKGBoT(4=EUln~WuvL5+iDEak2!
zPBJOmj8GX^$An@y>wI7c;tR6Q^;!a%FxS{-GCZZ9dHrx_OgEsCU2^y9VIvO0Ru!%y
zssR)A!lPl#?sXsk5}Da^blP^)n3qfh7j1;*9Htt6%FjhPOtlM*2Hl`5oOC_`=q@@k
zCtU;$dr?H3#PE~fRD0SeW8{<Il~OEl&4sLOZR)wB^nA@qVfXo?V%Kk~l}8z5F7(Pf
zH$bD<Ho<g8>3Ml#=*_I`MDeH?_F8Cnk1|Y-V2g!@Uo;uwP&bxxm*$hIsfx*20o01w
z+i<nAe#k@?R4X@XDQ7_mGoZ*SyRKO|N;d~cs|-$jht-c5Us5Ig+=+O$)rPI#xR|2H
zl#TQ?E;o#~5_c2?c)u}MZkg*9n?kcZNGP+~XZT5@3cuu|{4gQ;EE#E^H=1(;uIQD|
z5P0sQBkPqfK*L@HkzSG5$yjI^<TzNyQtm0Ek&h&UWW)x5rA%msv($TrOh7@Fx|(O0
z<z=Q$42D_I?NxgHZqSYc2Or5qHBNu>w?rE8&bo7TigweLmox<LJWRN;@(zBQAn!aT
zH{c5IoC}p!B$j<1H0(tX@s7k!hIcZ^aqy0%+!MXLW1|*H0ZH+?z%eEa!#U<ZigJv%
z$>>#ZFD=0Ff*i4Jepvu6uI4;MW*-%u*eN|n3Xv(ljp4_!(vY=a<?@vsby(7cn^xeM
zkSp+iIEt>*j+u4^R&;$%$-q?tklZQ)KP@>NgBm^_Lw4lTg5#X<v}`^Y_WCj8W1Q-Q
zVnIxMCr3@<FDWuSu~dH#R?0s;kG<7A$VETF#jqh@#-^x-5rz7t+@OwX0f>Hw3$kCJ
zi33P85r6#Rlk!l<<^%q=QO&J}MjjmNw!qjh^sZA&j=@=z4ZpbZqvQRKJv@8PA0>P0
zxcIA;A5-BOgLPpYNOQuxdWEFdn_yTur5B2ULek6IySRZyWGWRpnM`D>NvV`QnT##X
zdrl_9ED3fp+2gju6P-*(Pb+gW*^4@Hh-9@Ar;{DPOuJ6pUTQSMc%I^$5XYRa)+=$P
z3abX?W_UbomaDB+ncceX$PMHmj&VZSr~NIL5YUByC1!OXHLwCuw&QSqDXuJs^Vh)F
z>+oqeT%wkK?1ph8?9Sgp|3E5Nf4Or?W^>ujFT3(dyMu1MeWF}#x0V_;2=In*ju|?n
zIgTMC-X}+0IlFaQqK2*f%HKNwT?v$=Y6D%Y`_CNPE9)j-TpeeQNt_wyj=lBKO$97U
zqnrqJaPsi-KGLH|HeesZfMY*&(z;%fM}d>bu7gUT;gp1W_t8-=^mky-isl`FVPx74
z_(f#}<s`EGljMJnNsCd*@*H(6whX9r1|4Oa4C^KLHi#%QBkml<m-~UW&j{}zi;p=~
zq#E+pFe84>-?5TGty-t*X~sq}zqjwvapz4IdAolQ1+jOYiakvs8Mu3|zuV%t^Ypwz
znERxE2n8{>Rnyl7w*JW9RdH+?y^W3`U(Tf;XdiwIli0p%lL=L$sDcW0NBz|R3rP6%
z6wGtev<`8c>y=N+sGCChAnSJMqTCRg_CY+%0L!I%&h&R+M=0;WqI&R)L-nL7Bv}Dz
zNh!I^512A1IRzp0k(($lhVC=YnHSv-Y!uk(yU#mh?@nL;i~tPUPTzH$EFnUIkGh^d
z<cDH}UA_#s5t-@&zc-O#uQSc^!m`VL(8t~Kj@xlwMMPwh&&s>g-+`Ugcn22Z!Y>Y1
zD|}wXy+&Jxm?_R|1^3mzn$T$UYUegTLJDx(Z+OS-<+h<PXxx_Lyo!(eVHttv7>FbC
z+(gf-_?mZY4!-(dL=gG->O1}p?0m&Lu<#XrnG|0=Y_w%i_=@w@zY`jbUhRD4M@Rv_
zntP0nKfQM^Uk!yp<Ex?PRqXLYG6GjI0E=+d@UnPbMH+yLo`V*Yab5+BPSfgo)^@V3
zaqRbwd<0*cb&}h9dLHzjv7Qua7iKi>*tU&5#aeVZ;A6#iY+vAyoyuL?Y;tIu?{04C
z0%!PlZC`M(-{SkUaYOdeuov*?9Bh&8$_?4Wib-Q7ig9x1qE7BPhGkINYrX1Xn=}#2
z91k!NE5G0R6-AIP7IA+XEA8Z*J+b}PdogS&vaR_}Yb`ua$#T8$WDnA-JAG>g+|bbH
zFXkSvx*T{6YFT$uzXd)xGO6*CrgjZUr==GsIWno=Z#1auAyoz{Sv&6|0Nq7ZU$f9o
z>feTjy(prr9flumsNPL)zdy<t`6PJpJ9N|AUyRc8*9%}b`aBfQyOsJcq3lT5^=DFl
zZ<ImiL9Y=i<9Tz&TPg7=ePsHvI)AunR3YaLP|2r<RdOzb@EK@$B!qhtt1ld7j2z!!
z$(uW>@rx!>9GPyGa<huul=G0NZ$Sf_^-`<FwMY7m0FiG#aO(IT>DN(F{~qauG~k$S
zTC;9Z!^2^yFm7Fw>s>}ZbfL)P{@iorr4y0O`8=Xj3`k|p*uYQPG<qdh8fH{>s=fBJ
z$r}0(@28w1eySL)=HjQ95R~qsBlA-g8usFe)PqD)hSW1Sa*(>E++{flCS`-XHGoCT
z{)V&2wL?%`kVURC!-2t`J%QLS0EY#{!HG(%*HujNK*?NS(M5gNKsJuZ#dr3DL>W=s
z8*@{fml6cWyp|9J95WSs>#qCEHDLUzG0l!-SN>s3z>8FZ={9>EKHc|DcDjGK8SbAn
zknR=~xn}rdVurIa5kG0u>y?R0JQ#8!ExSX$Vl?LlTrn>Ggurtb9a$KD4I1_$h=ifU
zPDU7JkmKMHOS$4%>M5%fuL~Sw!Z4g;9vXu7jDYkuDKgye%VC-DRBCi*b0#Ccj2SVn
z$R2AKy;6CXOtVyKw*MDIn*1%XOA_>g^K`0r(;gy$XSmN{r6Jz8lHq<CrtSrlwWlbB
zE*++4Y6gHbZ*e)0+%<qW_7)j0<&^G*8p8}sK8=W%2~VSz{m!+b_D*7frt`)k!xPha
zJyyy;orOcEi@AXsRlf18^x+cjB{V}`BBx0|JiMIP27%ZsH0gff!LK+LA-F<`#3Fzy
zC)1KhOfdjYA~AkviNvpkfw4qldRn1GVmJt-(r9)c&56VuL}w!LYRPbw<D|8c+s#u`
zL-8UhIb!?iT<&=$-O9{U3DR4Rr)3{J^H}`W#n^8E>8ZAu&anQ><6o0?SLeLkE2m*y
zX&1}HxDb8ti;fJ;7>QUD!u7BeEzw61L*{x|dJutO_ku>Y9Zc{AiDqjCud*_w3UxKB
zGIO>7?<e<?*k=I*pJo=r$0ae_@KZq?{R%YoLt7FPJOCC}y#}(I%@3`_{3^%t&?T|b
z&9t!?gHmw_rWSbM0dE)MQ}~{3mJqo+`721)jJ}J|%timeffBk&=T2i80GG+4cVUeS
zXheS}N2FMYPrHU`0a#Y4Hv6?O==PVFE4U}J1DigU@l=BDZn76?J4gU$G<4wbLAla5
za{Y8{YaT~qdwA5btp~)UV@pZP<ViH6kAa~M#l_^xDbK2FwjknB*V_SXrmlD36Ycw<
zCx^P`Qvp5I=Y=2v%MqoqONu1Za4a_NSsCEj*@u(Em0GP#^RN<1`(_NKPGI+s1k$Ot
zncS*-^xVx3Jtx~P5gHa?KYt8+bbwIH71){szxXZEut5jqDl8j1^x=$bO7NxfMiM8P
z_Ir^)&#$kybDdu&{)nub{N|%_H_l?E8}i*;SHt6taD-KJUcrsA=jO6}c<1Ivnoc~M
z*5lvOJu6f6O-uv-rBA_i5{*`!XU_t<8Y<=8wQ{S!1AE>T@4%9Gg<n*XQFg7+rGCWr
zS#?j}^pQtKOKy?x()Pw4iei@vE)fomPJQTh%U@v>ydDJbGpSi6-TZNG9?sCqG%qVC
zM*h|@_bNZ;?1Q+60hTM>{LTIj>@>qWu+R*CanQ_cD%dzSa?#F%MvKNY=CBmUqMZjA
zE-gdFFWOKQeBUXib?u!-GWTbVTE=kf`1S(<;vtJko6-F>f8RM!IkwTwMq==nmx?Wz
zXXKar-tO;vhwaUO^b<Om)q4J8>IK=oo|!qFWc108M#z6;02=sICNe9phL=TuFID-`
zRfxWE{k@WR<f_r{(g0(V-X#D+UVqOv{1kD~Wq^_u_xFNf=A%r4WHUtmQHj&~P>(No
zPOTPH*!iFQ_)m664cRfUb6!ZW;RU6}iVol`&qe!lPd56j;NhLFW+kEg`FymGNV;RC
z2x>)y{v}vxCuih|r8_>IC?zO?TBpRuR(OJw(_)C1$$<UMFOq@i0i{NA(qh_QU&GH~
zKHr&p=xQMUxlqfR`FIjOI5Hpclcw1X^{S-<CaEn9`7MA9L*c*1XiS&+s^ml8p5Gty
zY68w(R27nivL5e)hP~*am0XFN%t~$sHI9{BOSxV72}DYiq(CJQJZ7({$hO2$Xr-n<
z1kpGrJpU`EqW=7^D!1xWu3$_8=U~<=$JyN%ScILkj9k)a)xwiOr5h~4aemAFX0Ne_
zs?0)_E)-~*Wtm_$62+wVz}NWXZ;43?0(>5Zpc1y5z`Qgf5?(${7=Z|HHXQ;#sXdt%
zY9SW-hS8WCY=wpXjDT|&Raq!{Clt<`+WJi>>qQT-ki<=fg)*pdu#lzP!4;q;Ng>Hf
zv<^&Zj$=4eesajvWth_2q)4b}=V+C$#G}H@xhQ*>icajvz)R29`NmDZhy<QcaWPgJ
zqTiKpIdcuUq%izMzK8<T_S7PfkSx6tYWNIngqR~3Aufbq{|xh0Z()gv7^lAy52Fi<
zSt2kSMrY!|6Gne05CIFL-wp#~VRU+Ogwc8Ic+?Pj1-2}etIbMxlIz~oUI2?F^>%I7
zAemGkU4rTiq@Pa4zcQL(tK2s@+&9@oi7;MnfjK}ye+u*C(Upf~4EqRQ2;dfTv?0BW
zG}%Jc*?a}US<_!i(N4<$j@%5*g9cFp`U6RDTvj}trz*`Nn2}Q;(5Af6adwX!x-Dey
zUo}b57Tt}_7>f{R7}L*SNf#Te-%Cmiel~4Dj6;2;59Dp$fjIVjzZoj!U3+-I-+?`@
z$vd!w`0$HnKc*`!slR2oWnhR}{I5?MEx9$SY7wfL24lsKKSnq-I<*Hp88+NXOO55d
z-qx%o?uW5FD<OVYEZ-(Od@{$h+cBMkj@Q-6>u)EGWY$UUT#oM$I@Hq%+$V|szz?gP
zQh5hiikp$b+VK0g?$jyRAOU5ra?+jB(-?Sxm3o#tl{qgp@B{3{i-m&`V;TqNS{`}Q
z<blY&JaUb{?;JBWc8r>l*>DknIY~CQPHRRT!2b^|MxAO{F#0ho>2$RmD8k$2q-+hU
zD~{C}&xNA|y8T5`%y3AnV71J9DLkWNNON;hBRA<GJ~1aMMwnPm)Do{e%=h9Bj~ER!
zayK=Sb$Ev64c!G@GKc5o_(XX_^yF}OIJo2F4c(43mF9D;MDoy~2_+BdkUAZo;Tc2+
zJwAkj3VJN#i31A({yhv)XyH1jIYidee7Bj<GWB4-mLyBQ#GAbI>bHwuC+j93Jbki>
zOe`7J{Nr=Xfob9AuA^D~X-7i5%qp++X?jqi+UCAEto{d}QeLb7WBv~8HUsa#Vl&_u
z&1Oig{xeO&rqP#d_9>P$jIlp48XnsiW5+S%w!{7?gHyMC`W-*4cAWAKvi7OPBl@1d
zgB*6wSRPRp7jBz$<^r7{jCu3o!a`rzwMJjLY|^>O1CiS%-Q({&$6SqVld}0rElXNT
zvwN_9&Ia@82kVpw*4nFt1cN7Ca9!^mwl`&GC=A6?c3$j<WQ3F*2B3jYWg=BK|J@`v
z463)3MK?dytI@9_otr5;Qv2IvCVkZB;3vH!R~N2xI<N(gEIR@H`%GGaC-jAEV^1+0
zy$0~H;=a(Oxr{ZLw8Q3z{EPdzShD&TCB?ybI=|qk65xE{&J0rhw80@*irdTSPL1Gb
z<9OJ@3?I;j(i0iI0ZALtFCksbMQ_VZ9^7R)t*t$pr?>DSKO&hvzf}akVkPiFthAH!
zza!H}p{M7imSa%bFFXgz=0UPC2#hZC#H}2V$e<IOH77weOL@#meI*Hs9E#879<93c
z{wAnpP44*=d;lG5%S^yenhjvsOnPR*2E>X`Q|yNh_+J>!xn(sjfAaL6uM>FgqN+eG
zl-~1~(6ARll$*e?qYc!1sM+^N86%$pFLu*VzBP0|eW5;8ZiFeg-2jz*YD2|s^iMFd
zym=op(C}!u{WjdL<chjpILa6$d1sPKGSuxzF0quGFUaze50auaL3^0}r^?!usr88=
zJcA^_vkOoP=FBd54;7tQ`o@7mv&qvpZoo?Uh4$H5-7f@`?Nd5Uwy!W1<svXsqQ{G&
zhL6RRslc%nnhGx=h<nn6A}*BZA*?Kk>TKMT$pcTK2g(Z;_q+!N#^Rpz<cNEYndtH2
zdf4ntFw#kZ=`_dVh6%+x5y~;5oG!ze4_@2+7>$<$@%G%bZsb6`RaQ*ibNU1=*~E||
zn5I8$U~gHNm;I13f^4w|<ydV|Lw|5L#Z&ZNY{m$a7CLjl+E%)5t)#ITMg}fY(^edP
zTwnB#E004vb}Z#{0D@0)sy?l4_^EV^-Uv;txKBIh@M(#JK+Mz9-s#5><juXAlfzK2
z`|-~M`3A=!bgOY=F$^kAI8UIm2#MLL^DQ0hTxBI$M*oa3%thbjpa^~DHFR<L?=%!b
zg!8{oah^RId}3DEbO2a&?sZog9W51Zg>Aq}JGs;v?m8>dCnIgrB-+OofrM<U?NGxf
zAr#vRA<k)At<BLYPofo5Bxo@eITp)YoJApcNg^<7TMb=Pz8YX;w$(m-qBUiDS{d7l
zok3CNXMqHC8|(N7N5Bbn?M@i?PC*LotrIe@DCu7S>a??xFFh*ll4{X=ca71K0pU4h
z;}VC4GMWKvr=;7CGh(J>@~rYkN@y~OjsQL8lP8AN_##<xHP23JT5io^9c(e<t&ZEK
zL{V{LGevK744Xk((I<Hu`pTFNu^Tp8_2fF^nF|y^S3c-K-QfjFRUpm@Pa#SLXmks-
zyW%!mK8_H^+bWeBWNqBWr_pNRDPiy{__B)71+cC{gxuvDqZ={XuLs*%k5`&~C9`XU
znv&9@*CBXw(I7Xm;hbUa*CDLIa=%_9hv>B#g`O4|fkq_9r1XgjzQpwOCLtXMp-S%2
z3@qSAzXqK$P5tZmM4FnO9GaQ~JWlr43;BesfSSH>l4=?b%-wjPH>luL?SaX?e@a&!
zzVo7X`cxS^iFb4z_9;#%!mM+Xiy_iJE-NNqSVa~F;M0hUY-A)RVyWV%<X18UzAUj(
zTwSG@jJ|};WYyIShTtiCPe8F*$>=k3B);VZMde!OjHYm;LLhnw+FfxaHH6lMc3N!|
zM{4P#eB!KXNnP$g2lNtKZp8x_i9BVX!TL?oYV<JnF&F)3ZW`gbW!3RGVf^1xjIUtW
z;jD{vS??CHfNT+V*oKvMaz-2;cGxBs>2zUbzLtcLm|uV>E-nHm1tl(o8aaa!IG&tA
ziOo4$<v|HCfkJzw;>r`05PT-l>k3MEjh+1fB{Ozz#3wR#=*eO1jJxCmm%p&kM0X`(
z5<fN}V<&~uY49X}xH`-Qb*RIl5f?d3IJJ$jLJ>!S21g1-RAt3gJ1=P*V%ESn1R>N{
zQaX}JcU)qoxJj2{HR@wCS(8q^{c36fqY#D}_p{#aJ!YJ(?^G^EN1)vmH{){9yD;Te
zqckAn;&wiPR&!2?GMp!)3@7<HS>`#^o)VH|qhG}C=AyUeCL3<qMP;nPq6Tl4Ap30;
zzGF;`5EQAT@|4o@Mh)H%oiauG0em7wN>2_&$^jlHYH&1$T*Vm91}1AsgwR()ufBLf
zdesWBTg85Tb*Na!sE29W-41Q*Xl^XU`-hxmgaztm9K+lGf~=VQe=u9A4&Lsb1yIM1
zuTspBX8wjmU2)BvqCNTxY$mIj+1daoWH@^r_DhP0i&z^-Kj=XHofjyNzP3S>O3~=k
z(C&)s>tY-uRQD>UThij6<I`%@;%ZQ)#ML+_?^@7~Yj9~LtQl1MaSV4I@U;UOsmWhK
z5?VBKF)8_J{3mZB11$}FmS~+uw1HQKJosnJ!#<vJs2eWzn{?VB+&<X~T4BhK>4ba9
z;|lC5*<V=<o891eqk@MMHmb^U$B4DlaXp5OYx}6<!fP_pai!eji2{g;1>;2u0=;6M
zC6C<zF*9EF;1d}y^yD&L*hGwDyu7$8HoQ;rm@j$2*Q6o=DU@zA<+mP{W{UOJ2z5Ba
z?2o5A?2ojK(&d*QJ5h;`!nGdHX`OOk<T0C85qd~{B^ij+;&Z*+<Im6BC+jAs^Q5G=
zSZ&oX%#fEJqGkD7(l?>5yZmy2aeUM<{St{Sn*rk8hWg`B6(n!Efqf$*1ksuJsdw1)
zcIeo!&%09gGB1c;)-D($y2IareM2?xz_Otlzo-gI8Si=^cm_r`JD0xcBma4$CAWR8
zZs749(}n%#-k_gA_n8Q{eUmf8hOR;^W?vnz2)WJHtYiOf%9_z3L<UKpG18qsG&V-Z
zPIrEP&f()0Ufb|fBu7_4Q!8#ByTVzDbmlfOpCU4}p3M<$H60b(YyK8E9tc<R(!AlI
zL6@tY3c{1P-;(XwWr9N5k439VzKXtqfXzjJ&fy#Gx{6TIv#<sW6@5((&drffO(d8I
zT!6JDi8!4_B~;|uWb@C^C9}2u1)s>)q9>QF#lX$1?x;+ufVhaKT9Q#6ox(@tGXuov
zg&SdC;1q3_u_eIZX9nTA#|sGQ$%L@JMIb%xp;UiHa$Z%WMed=CjrUYrtvz(Z9&`s;
zI0(8@h~It;h1fNGgG&7gP-xc?+D$%NpM!h7XhikhFm3BHf=rP($;NKGA6LUceK*eb
z+GHDdTgv?X0XSKdIWlmfP%9i9NHzia_uwe<?jSj<)~@z@aN+7aYyfWc!d7jNY`l$f
zq6YU3xR-IpfdmfJY(bKIuN_1E8HkOA-Ckw613xyiZm{iR@N<^`?8i;`wYAr-mKQ74
zWB3)io5HK(K#HHe)Nc1$?Ov#SykTv!wHsD@80tR>ho>(O;LSGh<QtuGwY|IyRlCsS
z9D4(o8q%BciAJx^&d!A!>7Ykm0T0uq7hB@6(~f&(nwG&0>yp_zB>an?Q^{Gtsl76c
zrq}PLZ>MVEV*e<#w+*bl7T^j>#9?I_-prs^72==<cPHB#txmsJ4qMfB4N8H2>i3rR
zJbh2M0ng{_AIo7Jx8riX(yBGX81RgsR(pfwjCQ}Lw=zYo43eG37o&;j3ZT|x8*4X(
zLDW89|6o*3&crcv0a0~8Q4_{Az|79p(LNkU3>dG$?{#5okem~TRq%<+wXg&90o~x;
ze+QC{bXPaxXr@sscj9oVaS}X+WLu@*YnRhk$+`v*)z(^nxl@*e2Z*H?5R?hyR;7sz
zo<VN_yR9xxfBLG^4g0lr`Q$Q^)S2PQP8%Y?YE7b&YOj2}(QPmiJ)>M}ba77y45YOL
zlW`!K77S6}oos=@bb$pby+*qQ-?s8%<)uaw1_!*l1D~LiF64eg8JJ;gtp-!RIj)?L
zKY>KgLaqYJX&nVZY&Mn~y}|WszWFax$+k||DFa$U2qJ*f4c%<PH{_)tdn7@<*Xwi_
z_U=7#;>3LC6dcstns3KP_twJWd!b}^?;zQZH3$@_QSODyFi}02m`(70&!ta%GGKOF
zyi_&1!8d6)=ZkK7?KUuaBkV0vH}&3f6S|n`RThDZYQ6g4hE2&%pvmR3WKRixx!XYs
zxhFZZd#cr|oGjNHN9#@aALw^OvyG&`r3-g-_R2re2fpqCqRye;>}R>zu2wi|cS>2w
z_zkd3D1_R_`W@(E8wjOdqX+nBa^N1Io_4j-S^^png5hiw6>v14Uhd3rc`>X3ubzUw
z>S5S}*0xuh?aHxoxD5A7m*EbRI3&q%cd|Zg9Up+MNH#GM0Xzxhg&`6k_+GgOZe9o?
z2Z-S;=m^NA2a*y<p%yN62QLL7roF{upXoKUwj_USM7F5W`)Pd1o}<mEWj4W|ZZd<f
z@dQ>ZL>~@x>leWdzVsdR%`@sV$wmfDDw3zbafI-9dP(Oq$d*zyWHQz0f(9DgjjFN-
zeLZS-8JY9|YLQ+32q}GNkO2}v8G`e5q`nlLw+>Ku0sgrilzkN9pQla3pJ(8oci^9Q
z<Da+Bz@K;FpMRZ&KmUb)j%<NHi}+{LR`|0O|6INu{_Mp+c<C=)3{2NS(T!Pj=q4S^
zNk`7mu{5+%FT%}yl>QxI(mLhXMIXl}T&9h1DVGAk5eA9L)+KwmpKMiGi|Ar&wE@Zp
z2@7b2y+H{o$}s{|->`B(mcWY3i|wZ5Rw{a~@luwa(OR4ly;7yKwe~?7#y!-&+s(H4
zmo>>O$oFcykJ5XPY_7JOO<)-q1L*kaef<4>K+vxk90Umk_A%b)35*A-1v><i-qt<U
z1$idkW=T7ZaX#iy3xqy&0QuT@y$Z-5>`NNd&hOH4rZCGdArBM?zQUR;)bQF~Q{1Xp
z&ks>frmj7B@Fp0tFv_BTfP7&PkZ5?_uo*e=EeOS&e$U)D_krzI0c8Vw5u4;uz=g)J
z?<j77uvfhcyi*1oj#+khb8urHd<;-<ST{&hB<6#gpimrup6oXCeT_jS4i{zv_-`3x
zI8$1?=^2?&+A*NMcf*c~WssU6PhmZ!aYtBQs#3)o00w3We+j)G-%Wjkmf9V(J3Y{V
zcZ9G%1H@znuD@YRwG=ogMGvB#{c-q{TF=5d76x##g)9J2bEt5c^g3s~m^s2HNQD_d
u;Ynx*gn~Mw$=T9;5QIhay;;5{A-|d5D-BxdD9ZQQ8d^Bq7+|ty{{I0YX+H-5

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.classification_report_utils.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.classification_report_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..3b6274ebf9a1e4c09a44095e5549e50a93a58bc4
GIT binary patch
literal 84114
zcmeHw3%Dd#U1ugUckbMt%qy8pVs0Lluw;6M`<NMC@g@@p6B0tmB<4W^aqL^SyYB6-
z>D%4u$IM)ln4st;eg!IYOd=#GySf;~xF{=%q7fC?#|P>zkA)~Cu<EKTAo!^(AN%{C
zN7Xr}s!mnc+?z~T_{g2Es`L1t|NETtKmT+8*hA}2TX!1$FWA=W)Eli6Gj6TcYS+Bp
zFxXUUR|m^pt3Q0_aL-$Y_YTX!MAtpuYY)0rZy21064iR6S?hYO;gMmmm5TQp&EAZt
zKi>1I{YJYLR<DoMH`d3G49oS2V65NhH$CN3FnOry_Ii!QM%ATS&dpw@-R(QKQIkWe
zhFTkL^-d5t_QF3tWYD6!vx1Es7x49m^&P=PB^*$FeXvoC<8ZK{*=Tvg!-EAkD7pQ9
zx3MtjWBfGU^^IDO#x`Ch*zgj+$6D?(|Fx+$=tK_-ZuMx_Tck3BV7%`x(Wha3TYa*A
zM*aNy`uYXIU9-3Kyl!vyXs_kD3$xYzl}@+q153Tx8*iy}G2q_p)o$OtsoP#`G`;RD
z0Pf9lKxb?Cfa2`KOw(QPP@p%%01J`E+UWKxoDSU{#(m-Srw<nDrv+n;R?R!1Ae_^p
zei6o5zZlqk5&nBI{@acJ_RyGtwr+!sv>a^cxQ*^G`2OW~ZP4^CcSZ(g7+l8dPLE!-
zzVUE>=nm>HsZT4&{J^NlT=d-jpzBo@x^Aml*YG(j@i}Y5XJ=)O2m-9MmYnut0VIGL
z>p+c(U;=FEE_K~bU7<*D>7jP3?>1UJXK~PCvV&jkuA>7r!=+(Y?&6U=90LBX;>>us
zej%}ZD*XxFuL94$P|++o1?ZmP+DodR)FJCEzp)20Lq!FZYP)sJgH++)#X%3csj}>X
z2~Je{?aB>@ZYb|@%8i!8*?V-R*fR`%U}Tw?$$)8?C^MYqPzD>I;HwJfNxgg;v^c(0
zdJSkV5*DRQa6?9)Wx|g@&79M0^!m;{POCH1s=3{+yRyfbzEXK)Ok4&mXRsd0?2x{c
zrlvj?92gxdQZkBEjih8Fc&C{zCFNi<@H5?kT_K2rEi?coqU_nzwCKc%<>p+k<C4YP
zgeuVg$Gjm4mycc+g<<%!7oIN5=0MUfpzj2uuSwjCGMGtHGP9gcwzt^Gwu#8bX|{=g
zij%8;PyJq^&3zGV>OaC1B?fXP8we@xWv}mbiNRHNz0l77d_Ypb!d6CYfh2}89LZ?K
z#Oh`R28luKosO;dq+=^s*BZJiClgv816m$sMBT}7K_GO<QVp2PrjBLZoa`UJ^j?46
z)@vu;>#vDkcLnPlqp3&Lrs|JNJs<3dX&(j+Q#T#2RfA@)oPe{YKrGy$UE~geusX<}
zQ2R-@nedOj#aeqACVUv2-dTYYg%|ym4upS<X^0^!(s#Q{UVkXMf-|r($F0XO*gvw;
zBfYXR$6G&4RQee3^-)kM0bd_g$5DSW#MioeLTcS(4E<TPiZS#L$2f#&mDV>v`nc>d
z#C9n%5Jtz}vUIHasS3{PpNSA&|D1+uwI3DX^`}$N=jm?36S1KRVKB-mkV$3oFmUot
zo2w-Y{tOBVix6oYZXUZHtZ}QS@N1xsh)s`1K(6m#*7yA3*FPWK=fH@69)W2hMZx$H
zm!>V4r$G}9gA(cY_5w|)hPoBrcoO1O|6F}zuxWA7Y%*<I|1pxWTKxhd(e>*9olA&h
zT9MNVI=HXSnx)@auD@Ece=vK9`;?CBkjiFWrNg~Sr_t)SoqpYO;9HXWkJq8gKXScL
zkNMX#T>97LraX<4W&q!v&IysuzeXSf)Qf0y=o*G|HuHkVR&9{WKZ_r3vpKuitG2t|
zY^gWsu;qzrd$}{{^A(GQ6{mN!>ABrjNUv3CE280>ISua^m4^Q9RO7<y*Qbp6j#uFO
ztzbFMZcd};xIL%W!QdAgUd@R{=3w2SeSEHT9VR@3Ce~(XAtKJhb70!~+&nmVev0vO
zwLNI{Y0}*94m_vjEdgc6yj}@CMP(~@&rR){+IKJNEV|8}QjQ?f%k5|7N~}4on>1K+
zNyYZxJMXxynrKliTGCtGH-(}zrNiyMHwT!}BQ2vee%R|_d^K;jQS;i(_R@;8*ljQC
zlrF>AzF{@-7umv9ZWj!&XmAg$s}Z?W<FYwI&AfCC)`OZ6T(IDi{#`~>hJT<KLnsr!
zO{IDN%ssg{lQp95f*get#^!g>XQ*}0ibfT(njGC`j849cx@Dt$>q(9B>_ldcx(HGV
zj5-=75awv;Wz-cL&BG@(nw?V#A{X@#B!3@$ED*)`SoWJ^dE%tTa&DSlP{xy9X4Ek;
z^<s{RUPiq!`uyHWjcNbr3M@1)L4nE%SWx^kV@+9j6w(@z22m{VL{NgUY1S&n%o<pc
zn+EK=qNk!yqN+I|F5M)j>tYXKSD?NMht4qn%t)C3B9)%>pQeAfGYFR!x>P{2(5|h-
zAXU7K4=Gc1r+ixrKE|Ci@F``D><HG(renr+$~j(dRO`%0JH5LG*x-<^BhAXOe}U<3
zi5t+!+(jlZG`>*3WQ_GPhJB7NKQk7lne^6X1Ir+8vw{`zc56u)Y@n?<u*u0T{hf~Z
z|C<}}!DiZG;eJVV_<%Z-^IwBjjLDq;&zwl#!avO9obHqjaidS_Oei)-JuTQS2kI?%
z>Ta*0O~b|*>7-nXCw+KlpRRXdw~}X3=}CV({;^Gw;%g0r8t+7>*{C-9!w1u5!u~mE
z*q^|k2mBKKB((XP@k=fq_#9jQPP_|E=ej%P5b;YN-VDmA7|b<1K@nrls`trPVg&mn
zEX(+>D$?^6sFWA6{$3PjJeLEpSE20ah&_GEk(i~QI%;n(GQd2jjV&HPFQ%=;`1K-C
zc&M}{X!Z-Cc^!5&X%88TVn+-l-(O^S0?BA@kI@``QN;mWjyccV|4x&(3FUsuTnl)<
zRei{f!6^qCRHTW)EXQNg{|2)Ib_Mk{q93>Gg9U4o{^xno&$3qiFW?`kFNI^`e@S^4
zjNdF)@dPJ^&mo$b8}jQT@uP4<-cOZ6H^l$C(l3WaaXl`J7M9o|N7r*}?gFN|{S|el
zA2B0ECUpC~a8;vt1K~)6;%$I9PmO{iEMiUiA3+V9I->chpgf^+l_|fOQ{G`)0n#5*
z--UQ#9PpQ;49^!F@CB-rlLJ&;&%iP4Fm#q$M2GI1xuH{ilu=Bn*16rJevJ{!D$$Jo
zf1h1W(w`7H68-H;;?odCFrb|1)Gy$>@b*eqvr2qvnG+S8sd|+%$0$~&d8mlF<Sq80
zc&TwLi!<i)cdsWenI;O#^LVSx!-F2ADO!b@FA7@{uojD;sNWeNzDcZ~A~K2APb+-=
zv?7*IpO?^y449HbCti@N;F%+3TlDjW(W-m$#T_?-4Ko@k!<ft|bJi)W5cl0VXR+CK
z`_4gU|IEHAhpiI#)M5w?Ioxh}C_w*A(Im9OO3gW#PU0(eL8$hW<0AIPUBZ$qf3MX#
zj<xm*rl?r29dw%BohUNp%*@OjK?6OnPtQltN_lrUh}~1pZqADIYjK(_=kMM#<@DTT
zv`{(jHJ0lAbVykg3-2uQm(@9Y+HWyn?uM4@M<tG**Dx3Vwa^Btv#Kl7a{YMygtn6=
zw<;05;$Ick{Vo=c`$IZi6!K8AE|c?%%yPOly*0#QQbb<49@O8KNCAYXC=~E-p=Ovk
zzaxbBtN(wACL=(({zy3fZN~UTfhbIb?Pv&hEMa%Ux00rw7!u$wq7s&xl-P>YNErWw
zy@SN?3fVzCx`TaDg;@!RQN6j59lp2Q!Blp6REKZ1f-(G`WEj;olNI^8pQHvcN%e)0
z41a+WDq@!%F~b#Om<?1!3Oaw#rTIVFQI*Ux@8^)@VwvB!caY37qJspMp)V;cGsY}9
zA8dSjAinCO{~tzc2F*ri6w!;i%$pdn<Nql`q0yfe+bPI^=$;nr2&3ED9XKETc2`~8
zUUyJ(0DkER_@)&B!Mb)Vy3PLvRhjhdBw`y28yhWlQb7rkT@UX{0>ggm;7n}LsjK6M
z;s_UAY~ojrxy^y6gBF}6T=YtB+3oi48emtvH>Bx-KTfSmhzrVErboy|RaP|EM(#t(
z(aJ}Cz%Q~6I7Mk(gi3ie_I`T@$>JwENZ>g7k|KUPBKK0bjshidSyYv~j*n}N_H_nO
zHRGCS?n4~22?M7u+Q1d%ml})c|BzA37)~<w?LdI=afEK5NroZX9edw7bX%|<lW-#d
zly#J?-uM^{SxZ)Lc4iwa`2PTf6S_ziUG{eCfc@{F88aqQDzi)&Hlghh299mvh9#l?
z=k1W}#AgkXY~95HH1MgA(CR0gn>JUC>8y#cq*PnV8(mU=+d9S+&GkW4%B#6PX73<b
zc0>mW0!&{t0gk-tiEsj+s<GCih#_B38x0z=tq>=ts$zX)i`M5j4ikn*U$i0S(ox?u
zY8m55#<LxWL>;vr3nT^#H;(B58(kMbA@z|Lg@!aGYbQHHji8-gWF4zjJ7vP4X{UAj
zrR?IDF0(JU!%#pkanKA*Ds;2zrSsBP%3_*nT$Gh#3!n879=47!MJv4?mGWw(AGCLn
zEG?pg1d*jLn#e|4sl>GsGq_}H$_aKqK`nKS7EfNLNcCmQREr}qVT|-e8)GiD^q^78
z7)LUq?LZ`|r6l|PE_>e!f2XN-|2}9{_Axv<lhbqJLog&NSvT3)Y6RW%A?tXpx+xO|
zO*dtFPXE~sNdXPT0W|QbP|&KOu3NSB`j|r7B%78REqbA=v}dg-Nl|HkiAs4@+SlzJ
zBukp;AVJ*eize=oN;@xo(?j4VKD8NRbqqr`zESVPP!0-t(*)EwZ6$iiR&(povyRyG
zIJ5KYP$nZ*bPz{Gg03&yI~W}eIbF~g609*{m)oJVq9HOB>#<8FMTPy=rR2I*>BJIr
zb^A$lkRT<5LQP7dk*1$*^czMkgYT`VOaUU%D6Yp|q#<&5+q*8pYjmPiIZB$mP#WVk
zOJL{Q?J!!=lS|;<ZSSB65^_0LaU`Ti2R><s(S`)WN+x?9cFjM6*YPncpjNLV69&!e
zxFmZ!U22v*MRmpVIr}IIcr1Ky1}zlUvU)7LbA|;7dmGv2Em}p1596&q^lw;)p5mE&
z6_s=Yn!eq5+PJPHbE!MgL4vxYFPhGcM!zbH*SqZCDkRM5m8k3F*_!f9bPvoX44l4b
z1J7k_rj1&;ux|$<(by!-z+PqVI|nL@&%pQ)4Eameg?3&WK^Oj@b-Y$xm<fZX3o~b6
zEjuIy^ce@xz^6jNxIW7+i_8Ow!6g2q5=R_du?lfdalasOM)Ec*+6ru3<(`o|h@N$Y
znm!}>c{`NJzJcf<jtEsf>6YQw?ENUjUlUCjLy2{M@{}FeRYS@r?fsluNO{H%?5ZK<
zYxaIlEu^g9q}$P47O{Z%?6CLq93dsak)W}R?nspF!?E&G3J|#+i8*`UIZ#>Lk%*}w
z%kshvb~tS~%CwduD@~%oj4Jz=vkh`ePvc(!E9xJ_A1#v8zY1@PBz&TbH2xuK^Nr|(
zBKDDvMnr(Jv?f>LHSrZZrq`mF+-Vnwl9ZD`*WBcFDdh)6KO^~vI7#5LlR!uSVh`RA
z%ZCd|tJPd+{rqL3<D`GoPELjG2pdRR;~yjxu>3rJT~r2>zgnUqc<fNSv%>O`AnQp+
zWN$c7J@W^$z;zqdUg>zFUuQW^1|1~t@*HIE0ph&IF-j9E^Y|dCXCKF`s7IWGs1BOQ
ze}d1Ri-X+#29V$A<3M+b&PaH*5TU0ylo6fo=5$&qN+(K86Vb{4Oq^@8kJqUO`$aT~
z`YHsL9kF`bD3Hn{RzFFVLf(R#m~_r=BG|luWKmu}J&(Zz9rUl@^!&0CS7;v7yQ2jp
z&`G^AOP`4o3U#;RIptQRJ?JCnP;bgPfdB7dIRb8=Ts+fyp4eF80Ltk@XT*`XvdWYC
z5O<1{MJ2(`B9G~ebCq-8#DRDlNPmPZmYp_BqDQ>WSeS!^LmMS(ve5#3Gfqa1AdF2<
z0K+qjgy{(=!2!z1q%28kR7&DIr8$XZGl;71N0yB!*GDNzcn}q#L>ye~%KpD7+!tiT
zi2rJCK2p!IEumI;=3XW#cpqLuN9_vYNebwb<|r7m2mRdq7-JZ@<|LkU_J7J~&~UwU
zh3box1Rr4lrWaKwA3XhG&XfcnMZ>A+p?rou$BjNr>n!Ad78#(RfE~F^3`6AdCmp$e
zTcq#59s#-jr%^a>T7thv*#gK#q70!#<LtP8LTATxmY{fH!9979I}s{3*}3vYNAk`h
zFzi4j+bLj`gGWO0E;L*K$+p}NQ$+@t2g&OWNaW&|j?{xi`kY%Uq`qqPk$PK^0p>ue
zPp}GkiD7lINT*d)S`$_+hE=4wki#<*Uff$`cmk)GkDATV7tPkC<j+Vb_nR+7Hz*Rp
z;DrglFwZK@^t5|9lL<aD5+8|Vf)N*pDIX;r-(_YCOz<ofv>T}flL}{!v0!S!Us=U5
zC*~0>DdS8jFzVRyCK~+6DvoVul6S8RE&2QCBg>a|@K0B9WJ-cTePW`FF1^gCBg~tG
z@XM<>!gVvsQ1FldbF^$`UPHszb0+;?%y5s%(foI0IVSy|XGQ&gkALKHk2$vvZl{Bs
zPMIBXoT3~Bl=wy*hhr0JO6H14U9Yu-#T_i#@SFh-auM_fy=cJ*Q(d;ia}7@<kT`?P
zJTzJ==@u{DolbQz<s5P&no5~N(kE3%oAJ;3<VrpL2?NZ}g6huVMMi_^U@NnL^BI8Y
zMGJf27o*`+^sqT3$BjNr>m2fxMFuD+V4Xv5)frBDR_1FR-LESG&1=^R-LKDyZi=5U
zJ-iqvrg(S><z87-E<;=fg`0qCF(Jy<TkA6jFq+=F<0&jn@q@5VnP&@acj&e>w;5?I
zkLB4GrLaKPXjPkonun~RUQ1?EaV|dS>_(nYx4VKoD3lu%>voN9sokx4U8k`amct4e
zMcU6eZ=giqO!M`S++ONEx~&2W+ASn~DS0PYKQ%1W;m#`W1WTwwD}-{v+jCr=G@Pwd
zMqMnm+U!a#x3ui~_=z-RauJYUeZ|t?H9c`?*lD%<q=92_9B(w6CA`O4D8aW6i<iq-
zs06q@dPe7NwcD2c&N$ZqOeKjqKU&b6Dhbq4Ue#*5IaqF?cCAtMdNa;zLMs8RHJcJ5
zw7ybdnNxwv(h8+LsyS4D(8CXW?IC{}elheW8VPxxSxmCzW5~8_(fa<}Dj-!8N<(oE
z<IBXwM*5WBP-G_Qe8^}nUH2<y;vEdU^rD5$#KUMf6*<gIaLkNgCf;9UfCB$kGqFj^
zwlomY3!N`MQUrnzuN8{_ASa5GOhb(KQcOcaxl5R7uqr>r56x2=3P0A*L@+M00V`WK
z!8!Bu;y|6MSm(nO=4T~*jeudY{gshu_$-xH!P92HnCK;_^r%BhIiFNOYmuiT^1qCp
zq#GTa6^&CEhG>l2<QT=5s5>^ke_Flq-Ej%5;P)(2mPLvP@I8d(GT}5cH3eSh|I++C
zxAPI(Z{#l`WHWBxyji!Q>6VO)o?V*9NLJN#9PuI_wB(9t(9#P7+6z|^+Vd=aPiVCQ
zTd9O`W&7DHP%pOS@)7;))1hI)<PA=l&JM#_#Bq2m79=edaF3Qnez0qSA`kkYbhD+#
zWjBP<-Zpo?XG+)MQXH%{Fjt!8@~6Fg-k|27(q=iTk(Ud1+rbr`xQVECc?pM$SS$&5
zTMynD!hM8wDb=##@$)u#R^JlKfXMHe?bngAku~GATg{b3M^(vSA$(QkO-NuS1Xt%~
zt5lCnx~s27Qz`2j^eMl)%8uj-z!Q!DzR76JF1KQ5^NkF+^rD5G)jQE}Dr%Us%JHH*
zs~d<_rOU`4bh_MCWRQXaR)>}4q>#vs=coA5BK_XCR>*y8A>>*YjDD`j0P`UB3{~k!
z(&{gD68}mONZz+rsD6J=R42^{V&a`LBS<KB4$TM>G;?JAg47}~LS~D)E3h+kg+mP=
znc3|^>4u-8E}3Th)JWtJ?m+~P=Ipy`ZdfAVgXf^LOw8|^pO2fm2=`~kKSl#!*nf5v
zvCn)l<!T4q^*}Q#awQ{rB~7JPVaoWAt2mBwZl54jG(rA43E0SX=?-FetLV~Qfrwz~
z3z0*I@Y^ZpPFmb_%5vuiDWStf(cQ}ptQJz1Xtr!fKX`IzueO_C%ml}cs`DU5#f@SS
zkz$P#Yk>UjRz&qWH^R^B9&hwm6-4{i=pO0iMhiC#k_Si$*=etdLrLMm$UaHo*|c)V
z_nF8^oRcull}b0lO+yFF=j1D&(vy>#PrJl1bPZ=pw~{Z3|GOQ!G00uO@+$d!wDv0&
zLY?wT<!)NkoT4eiy?dBrFP+wsKo4LzB;uKI3l)!uc9xp$1+0#;+a%b<k1`Uv-|o9j
z<JPGuaaEOE@&!oo+Zty|=#W-#cPDnp7Mv-Rn#n$2+*rh-Enn4k1}#ZBM7g@H8HWwN
z)&|~bExGR=6>G~*V;O+E2#+OSA4|nm20ryJTPOs8<U83&i7wO>H;9&r^sT}20v6uo
z{g@OjPEc@SGJaws+rvRGxlJ%mPjV)$u?tAq(mN{}4drr*EvGg5XldMSmBfxEFa)0;
zd_ai6rs#1Gn*^XYzx9-nf^U5$P6ooXQNrm9pF<_V6z=(F=q`G?tDNfX%89_aXewnQ
zK%eqY1U7ONAe|}sr~|&=XfhpeW$k)~ftX&j@O0p%XgC!?Y&yWPqfZB{9_w{Q2AI%`
zzYmvY2quVK5O#a<PVAf1nWt};iu7DVC7a#JPruk%C%=KV3y{zjjC)^^F$yuV&gRC2
zRg@wUKI<~_(?$A!+p6JM&phP6qX>fi`zYK+Tn}dMR==;v_!2}UunOV_i}zxekxkND
zkYtQr=yd#(A`pBOl~zYq3_5-s4Hpm;TR`<+6d7PHK@q-?#PGO$))D-FiuC_?YlYyi
zuRemux9A2q-2^JuGADwW@24P`KkEoSw@CkIqtcpi@Ofx>l{t7{kpbpGu;SiI9ILN%
zG+$K&iYwO&&4-Gh+5b_+T`}*2d{dF}2`nc>JJA=-ElpX#ij|8FtKNf|=KMU(HRtD_
z^Vue22)f{YJ)nqIQure#_ALWl`ZC!j3Af~{r1Uh$jVA1hLoA0;zicLO*K?1OP#}Wm
zq4NZsXDz0LXI3vjWyxqj-bAnsPF|zcpcu0B^Qt?ILgvxc;O+DC(#@EkpBr^mVtzhc
zmzbZ=w=zNdu*%xR{Jge0Ay{@I*g)$mYM{mz4NzWAXV^2;5|U}te5PM0!nlt~#$7k3
zh!Y+_8~Uay3oBv$cTwq(wil!R!@O<WLLQM!89!#@<mE=1<^B;Dkk*P+yMoyfAyH5_
za#bMe_YFkrOaL}fSW<F9>PF|sjmC26FM@#SuS@f>yfWatH8RJ!BPK_3tXnksiuz{j
zIiEkN@ov#&HPWTVhXm-Y;-KbzAX)fbhG07_euqXP#m3sY{}2_`gzX)y1OI37PZ%N9
zh5FzN$D|0KlciCi#on!gL0T*XLln>=xi%{WB+XOiEt|ILI?0YvVVyUi660=F$@#xQ
zIGpt9V^J;lZ&3d<*0}#+WyCSf<~?_~hi~*8^%lyC|6)Snr2irVlUCZO0zznX7#gir
zd?6ql<D&=&b&w<=_Yvc<*;}%Jto2fUs<cR$Ql&){P^2Yk68hRvC?X@ju40s+?Qg{;
zkkUdQi%QFGP~jkJ+%7HMxU@VcgusxWkFFy*S|H?3`tt^ktwN#75h3^pL$I}qlp{`y
zQRIj^NRXpD#t@+fQIb1Ky9-IvchSC-X8yJrm`Rf9t$G<L*6HgWKRODJNXh;Y#v3V;
zO&^O&_7wQyhgsux$^O>JlKox76u|mFpDLq&=Ke>R)qCdtN1vnZ+DON}hu92rOM~02
z3QN^-dr|r47^_*UNFB$yaugj$yv%i+z1B~2_faljgx)yL{97wxFq8h-87t|dMF<D)
zlNXLSWtJ9~f-Vt>%MZUHc);u8P#&HC5(o3J#jb>V9IrPJtw2p6G$M-WU3PI!568tQ
zB%tc{5E4SW^Az@5lF9j4<giBp73^#o3pwr&x-A~PLD4J-B52^mn+V28+_#S|M-jVT
z(Tk96*i7$Jxp^jasax*c|5wIAkjZ#HA^N21LHmxDNaZUaPfQ>D6{A5r--<BaXBdF#
zMf30b8hcrPg@#kn!}jetZuEWo%rM?>7a63Wf_3AUT~{H{n{ai-)@?eq(lMrN^K3??
zHQ8p_j)q4^u5~Z=(jo)QgV^olQ>(f`Ivw#3x){E)2t+SiE0lkKPLz|^WA3KML_K9U
zB%$2hJZdY7nR_mkXh@IXc?AP@%*0H#<@-d2VjI!&9oDY45a}tWn+*if!SwJfl?R<W
zTNPfecVx<u2U(ddyoDbO=QEdHqJ1*%$q>58cpH+0S*mt!5lPh+(o!8|f|F>e=u>`6
zbv8@HXre|6eacsTSZ_5t%%yDK!Um9Dw6G=n2{fFFK4!@{?sQ9bx)Y|*r=R)&-(6&Y
zf<jg+hRlJ20VTqfH#!XOF9O38YlY+|iy+y$qy5K4#+OJ*TYSx*74OCF@I}YorMD{e
ziNQ<H7J=Z4sI(@Y$yd;D9$`r`lQBJ$VkQ&HZ8P<2$m>Du6U>R(Lbf@nXCN$QPOMG(
zkMpce?_yb-(sdTK`ZcV10c1+UoH66`KhKN)TUInXcl7wp9!;WpQdNY{A@Z1!*|S|&
z|8{V{$YHpYDuo+IfIKN{bhssZ$CIcP1z__ORZbaU`Ep%G1Zz_`$R3(?G9yE#S7fu2
z7TDqcgCQQY8g~u63O^WgWKRi6QmT}_q(I{`4fR3MI@$SH^NW;StHMr16zL<!0K(vT
zc+>figMv9=cc!OtI6#fZZ&#}WWV~j<_`q=#i%;`(e)gNYF#dbMYjPiuZ%382BxFHt
z@7|EGd-po!y^LV_z|TqBy&_F#$WHzt;y!lY@kBsD?(No+5)cq<(O{D7KM}%dXxP_}
zBml3Y(v$vc@ekVz)Mox{9YB25T&js+legTdyS+wFh4j|7K$jfw&8tre19O#;Fn7ej
zoH~!<(aIdHD&nkaR$b3~Ik0{eqlsOAiF|rjvZ6XGSNHDaI;0>UXNzK-lkX#(5GVWB
z;g^)OpcH{3skxEEW>Da*R3Eou)Gy%Y@$7>ay!#e5cylfwd6&MbP5M8iLiWZ29Ge3%
za+J4@&a>IA8#sH|7@!?zf@?#ZC2_5ZvfNzz3UKYcj2d<zEL^*|cdufa3bJmNb&50Y
zZxIsXjJwT%M$&b&0;55W-yMk@f`xyZAuWxC>1#R*zrdC5Cyl|`IY+Q>h_58}HPMxu
zeP0Ro{UD=+9S95iKDu|W@Ov2RuCD8|H%uTHokg_zK2a*1nG$E+(CG*sIaMKLfEos5
zvjVJ?!Eu3TL;k)s5<dy~`#Pg~n*7n%bosk!?<!MS4)E~mwrk*N(++)5c9s`%7vgFE
z9_N|+-#LmO9(5n=8<meK>^4ROEmkgf)~CslhAkrH!eOg<lKp?A6KQe4a;uxmQ2Fmi
zRX6Fa2OIgFM#Es;-XTrJ*{nUB)RIRzCm7kbmV%mWFZPu=AQO{)nmvy+*-sw?!To7I
zC$D3!#-&clrGW`jcd&pvz0_$(>1KIjQn)yvz6#d|{3AsCN&n7~c;HREQVg8yFK5yD
zn-<&cK2BzPDn#D=?Tw?2j#q2A4sx4zSJ<I%+A_Wges80PP=4jycIk?Gzu)Q2&CYtQ
znd7qJOuM@@OHZ?5oeGZKSGePR<$Q&!^fFEejIm_{6@Yd7r53@j5CLp~<gSrM-{zw~
zihnTN$b8hEixF~DfB{Z~cVa1n^xs0TQLy~3U}_Y6M+h0Q9(d=+b7L>q(87&<!x6gx
ze|w9AZeti67@aAY*#8)(*nOO05Ez~-LP1>c@<JTPIqIT&hvoXkM=-9CQ>Ph=Ph;nF
z8Z15?E=){=U8lu7&y`u@m3oF~g!L5B7`pY{An+daClTZSER76$;$i$7V4Y0fmNsM;
zEAnw$HH<pZz5+Dm%pFw;);DVV(K9ZFq-%@=h)@K^c&%OKgxyb>K04j@Vx#GGXP5{g
z<HHQgD$-a)!VY#~hiCq%4El{`kI|<=^a<56^)FQmmK}Y345!UEq{`Se`*||^EIMAZ
zpD*!6+QRRsJy`A;`Y?f+dnzu}#BZUJrY7F7nnU2~z<;YU0{_1dm|O=qX*xh+OOgBR
zvY^X<%Z&ml>)Flv524ZEQoC$RvZ?a?3Dg6FJc55h2HBIF{)X%#laMe^hU_j1#!|RH
zDr?BAQZ^=|PZP94M*UyH1CvcYhDgw)gh?6azDFn<6cWZcDyl-Vc|d^<930A~|3P%*
z|0mJ4E@#wMnw&j5e|4i*?KY6+2Qquib8hhZ^>&SCcH#FGap|r(hnjA$7Yes?RqYtd
z0aL<4^YyLvaa;_#<T=z@8`n^*FhzDX<zK%62lx;VRz9$A-^=z)Ii1dobKt=AOWB<k
zx76JhQppTT*S2d5?Ito0-Gb$MRJz6Oy2st62B$LIgX71K&n)pmGcB(_i**iGbG9>B
z=*>oX(tF32r#tS^T5aFUW;(USROx>yXA8uDyfl&x<|KR@NE})E|CunaItkBw_ain*
zCv7=1)Jcz@+ME?pJvh}Nh5T+Kyyh}VQXil6plAo_qy^ha6YL?k23L|bC@$WrmDmgv
znO5Selhz-G^?0<Vsmp1Ev68xE4j@xP(?VSux7|*=LS0TbTGL0Rx}2ugn7U;CA~{vl
z(8N%e)1)n@JDq8!DyJ7#rlrE07Fuw+$28@1PiRWTFg&gUNwKz}PS=3s=_ezdE`cP{
zhd??ZkW8l&kPZhjS*J@t9RVm-^|?-0AdMN#i->qJqsd7cS-=dV`5FicSHw{jGMX<{
za07Lp%V<(tiqU*C^n2)gj2*_DH=J*ar*Nj}A0%0w^e@jXvNZ72srKtMv+~W`>6(=J
zd3Kuz4guq6JdE~BoJF^Zc<k`S!Gq2|O2!b)E3hp;Xt7h*l$6=picEFq$X56~hC;i;
zCXg2z*M<xbB~F3hJ)Yx$$8_^ljYt8Fcyl^Tun!6EL=5>NcimYAJS<z?CIN!efpv}B
zdA#}jeAq(QMK(fl-#F!X7-MiNnp?a8wy!g=t)H02`J-GIlTN{la+Hq1U~a?B1_1U&
zMX|a@P=mg^f{QX}6?K+fv^X{l%4c9hD;)vIu;HB)Htv{`H=3<7&qYuMYu866{?AKi
zeTnj2$+8i_&#-*rq_Dg_CTF1z3*z4rMipt<48?pMDo4uHTFt+jFM(c(e5hgx^cMPg
zVeAx5nO}jtNgh2JdbDC8=TrVmP>YrDr|8$u0agBV_-h8g9;7)}g>^DnKO<b1pes6O
zq^<{=X@)IVe#~(O<Fx+MfHA<vfBnwjw!{^X@*YIdw8Yi*ER+67ODB7V!L=i=w<NE{
z4C@;Y_lGVGe7a79R$R*Zygul1-IFhZFC~ww+HNgYmR(@r#GKRW%(QAO+G|Q&JT>Rg
zC1B1y$|pQfWSDbM=B9PKOJ2W1t4cjy{7ysx9WjgXP}vF(%2vBF3)UJ-I9)VH#~9GZ
z0mOC>`kg_)f(x?xbIwA$-Nfr_$XH?{=1RIl5iQV1CV1ug(QwEIMn}06-Xc{)(PM)B
z8&<(C*N@jvXxv`Er+zOH)rX)x8P*LxK6_ga>vFS4do9mhn62)|)n9GjtM+@dH{OEP
zbodLiSHqvXNv!0}E_yBk4ZX@j7jygitcrqJxym=2$P0XxZ>F;{hebl3yp)3e)E08B
z6Q=Pk$$$O+kUD240wD>I@>R$2ABK2J3b-lPgZkSNaeSYKWB(~?hC%m^5W3%eAq$3(
zgh#^BoRcydQSkAw;AW+uB!%`)C%|W|1gJmZs`{L``!QhtzoQa3;mNR5%1p!;LDlR8
zOp5-Oy@L<OI{3Ay11t<F>BLxb)U~ECqmh>)<;S5hV*lacsYP@={HxJ!y632#jHrJm
z7{>+xW#t~~C;GImf(eM^a=SKYqS({HCOk3G86GB#ehdTtCx%g@QycQr?YC4z52M*n
zv1aQL8|`KaL}+<v-3Vp65|6Q!ylqgBSw8AWyyz^QIJw3%iAs5yY1-aFGBb$|5}1j;
zq%hODX;xEUCeB;@mO~vOhl~ykgeb03POjpeWb@OjI8qbFOkcDyD^h$<D8=^}PVSqH
zTE;+<5pM?qG>;=OT|k?52u4Sx+SSP-ROjDxH2#=<5UYm9qzsA=+566cz*w&8fcKLZ
zdxp+RR&RD`#oFROVAc>Bo`WIF9yD0?1J?2S-$65`?eV{Xmr$FTFl^eOz>t|@{EzIA
z>_lT4B*9rCw5-xwcDwz%25hB^W=j4z%7y?M_*5upwE-{Y8}b?ce#`=#p;nVv*I(+&
z?`i9>Q(TMBp^`35>8{1!+B-;=CecBHW~48gW{g~m?PLwqNs+)#T!AH7fpt6eh7IMZ
z&~25iz_(+_3{P3cGVt%T1DT9W(Lo#y3HPR5V((ydEU-SZbx#}#SW6Jjs+rgK<#rgY
zNJ!u)>RRKdT(<Vw)dwQc)+QN=H`)8nL8RhFf)mP6YRN{zF2o}kiDTCBT8%^|45Jx|
z2kej(FcKU<1D^^7twv&Z&efinnJ`Y^3rREH>W1PMtV2&R6px`&UPJMuy@O=279Avr
zHGR><Ix-YHViT%VOQHIoIzIl`X#b?`h1ylN!hDKjHeulOMH_f7ef9;TmNA@U?Aw9J
zt<Sz{?^}_EG}BvLpYb6W@|Ud7?7TLDKHGe@P9YuFR(+NU!)W^K0y`uH^ce@xz^6h%
zt3KOiEK0}p)<#}Hx(4!5m&{jK2bH3!4xmzAO?9=sgJf9|9V7@WebEFq(p1q!tO?#5
zR_=}2)SHc#bjDH_3DX40SRZ5kXDg#OGUOS(B@2-q4I>EAaqC#ELX-)ECPbF-*9Yw|
z6c8T{T0!yozSJ$8m>_Ldib`qH-svLsUh6<pMCx(I75NsRf8E|evPg*z5=4r=q=?i8
z+S=knj>{DPsE_?mjJ6CmS9DuWq2irnOVuAT{2ARPOO+iHBS_V=*1=k(Dia1xs>ayX
zqGUbsq$B=Yc328X7YA_^>B=tqGg#?~HWH&vE`Ji+^WhR$DYkzaXTF5#_|9EA9~;at
zI`8G2j&Dc5u!aeeMPD?@%H>_Y#HeMABU!xdKqPyYY=c^7ql5OoN5|m?)=9Sfa`-bj
z$Ul$AaU?NORM~$5yF~1?N!h;w75szvqwTu-SK&=i;JiuwbM=k>A!_rFXeSDrT{VPw
z@ZDM#k^ifBO*Drdc`b@brsfeJW#zor6|WgInl;CD`re7Yyw0{)Zy%?yb~@O$>>|2D
z-;mbxn}X#|u91-T{sPe*8NqXtpGN+w`UT%ru>g#IM+6EWGOw1z3*L38-C3c)1EPyg
z5*F{!?K?7F$XV>Rm!00xriZx086LaXD;;n2>#XvigV+V6xNTD?n%6iciLLB$Bg&-L
z_gq|myofN!W_8fS84B<OW#K9H8_P(R%Py~_Y(_GS5v*`Z!x(YeU7XX}qjH+xq8b-o
zzaDIwNTbVdCY&v|arrdlh6pu>jqJI3idAv09W;<+_=-f*T{$n(F#?G@VvR(zhNO=G
z=3ZkY(H>y1CpQGlw)?8l_aC5k`KoRy8bbsQ3m*7MqjTL>l!FZ?fP-NGOI8~O<M@ly
zgNu4do3aV>6KKtLl9`<tL?F(P9SKrBIR7D3jUoqv^{m^?`0JgZtF{~c;REb5Wq-y`
zI({lnQ3fetHKbua2Hh&?J}ywrE$vK%2YG7Tq(fv5%<wv)yI9K)-Tk`L*#E#<)J4Qv
z{%7LqJ3FUZ=_UluL+TM9CH*z^RVW9HdLOb<Po07ikwj*-4^pMj<bYlYnbk7Wa&dE{
zXt+OC6;N5k+acy2m$S39raa1G%E5(c?t<6s@yp<;(tw@4=HYr%4o^>u_*&QL-8FC_
zjQk7ofYX66+@!uFu0EGh<?7YvGWM4uzi|h97<taiuvcM`66F=v1v)XUsun6F1WJ3S
z)8x-{(?m^k_=BkBZ^r$K6#pVqs(unL8M|sJz!>G}lja#39<H8Cbd1qM@{@Sd!TxKb
zL0u7;tR#|ue}w^<UR0Iv;PlSQFwi9W!ARisr4avrqv2Hau<#&`8-1A8{M75t(J__|
zHBmqeP*A{%+;PF>620NGj^Hzk^uG<2tO}L%V69D_-q8Oxkd_z0JJE0f1lw}b?kzIF
zJP6(-b%w-n^g>7R<wYR4Y^_jyuo#MM$zpFQGQd?uajggh?pmREu?UK-Nq_GtGCqM}
zOyJGL?es-c(<vEg6UzPcDQ6o)VGB+@*x-4YILz|jkQ6?{e32m#nZ-WAifZW`V=mAS
zanDBNc8{_KBH63z^W4~>EEKrrgvC>0j>bM>&ViK<uSYYxMyuK!M0c9-d=-hli3~aw
zZi##hDaCw+U(U_bsTM(cB)`Zc8S|XDM?#-8R<|0>93II>j0STV><=>l(~GJe$w&tC
z572NbdYDJTaWjHP^64T26cn%`H}pURTZGR#U;I^({=d9d2>zR52)217-zhS{JP3{)
z5P{+7g^uFw=juX{&X|hRxdoNh#OXT|4Uf#jR&!Y{GCqOf1anDWG#!#+E)&XKR#>fu
z6bp*C0rO+Rlx=?An;}Xgnx8kT(Wp*YS{HuksmBuhg*d|5`A*Yaao7PjnqgP#av@O~
zF+@AzYLafv>+VT3J$jt0kOTc?h*@TaZp+OpsXQvp&<`*PNi;+BNn;_arrc&=NzO20
z@AaYhMkl$%dWiv@UbL`jYNFv(lrhs3;w$E$#?X}_aS7!jX&IH9LS!luH)<P@I1{F9
zi94J@f)OR|)V$N@y}6k)m1(4$J<jlzC};F3znrDq+9R|^%GZ!hnELoFqr-GTQcUS@
zvH_$QEi7}tjfPXv$7GJ<&Tt29-pVJ73{X(Ws^pX#d<4RkH#(BPSOkWr*9ytc6hX4p
zU-_pZ<4dHZZJB25`*hhz=Rbv2^H4JPoj$vYKyVf+t%=`xE*j1wEKoEt14U@j^h}C@
zN+=h*xF_WG#5;Y=7P8IByD}JmM04`XJl>L$GW40dc6hM7fW1dLug>xZu#~mfwSd3I
zHgtJd8Nb1X+_z4f@(Ubun**;m!;|SKk!O@B=T>ZrP*NQHJl?=vHb{rlSZZO*6LAEs
z8f|(adneuLgBQFVUJluGscg4RnRaC68~<OF4X!|jhYA%VA48loC4M+JU#9Ylv`w#P
z+?r^c=#$1XR`nQ#eeOb5rdXI~)o3i2FwZmK(u)?hJ02QNMGdn%Azosl6hljjC?%9T
zv<j>k?YIW3(i}WM6H-09(zf||h5hH}rE_lyy?kIKVvB4^CKTYw4J2&JfcbMK#GB^l
zNkSt~H_&6$4wIpGtrCofRznel;vK9?a|syAR>Rk32-}Ei_!@<2oHEPJQbvX{chIEV
zEj&pJQ_t5e3Vq5|rpW0+S;eBvExL}>I8P`_?OljYM(L+=Q#w^8NNxFh3`dFDl0N0v
zmP$k~*qnv;>Og<mXf9m|D$dWJGw{-j7S@-aMZ>AcVfvC|#`M$6Qdz_oy1!avfCB$k
zL$uA{G6_QLy^iqj6oKbo*9zh5&MSa$emR#ofokrdor4xt{!Hf*g`q-zk6FPOyQf&e
zgmM>VNPI|_Agd(woY{W1p8K5)n#J^-wMlt}<e%i&1QWMPP~=d~TO~fg_shPZc!*GG
zpm5p$lJYJHuZ$GhFnkVi$u!~3Bk_O;bh?o$Wdu4!5lnYHicAN5tBu`fNI|u|!7|bf
zgn^r3+De%RaLT!6zr$~Aq+lX;%^`~@nkik4<XyDQhuWb>jq4~?+amn&8Dysp%i;n*
z=7le|n@t|ci}l+<m9k&W-OW?gIQw_cId|_4f!RH`Z|3DwC3&?Z`*%0bjk$Yn|I9w~
zlS~p$^<MEx^Q*|SfSUK>lj!jP_2|sZ%sBLtew6OL6#<eQT{L+>Zf$o7yO(n7a@nnR
z+wwJbMA>(_#5`#6jA>r2wCuSpr-MljTXsesZuupxu7GbkEJrPr)E4+L-Kc)M)#R6b
zMA^8Fu&+Hd`6(?oEFkyWeeBqR6iQ6llt^zHMwGE;^pvMqcjv*j3<`?QZn0UMlJAyo
zBjt~bb$F;RqTi4}9GOZfhL<v&1Gfvfe{_I!s=Ps$uGn;|U{1{1y2p``bf$ER=Q&6s
z*Pf$b;<=DR#04dlMaHTXfkF-kg}c^p@hI*>DA5%tf{-(mOBS5yB2u{JAnJ}7Sr3+z
zLLkGMWjr1)RsweuC@f(w+U+@)^t={J4BP0hTyi;uFVk(R7$1e&N*waa@SaPT^g6hg
z1(!BZaT#D6MO43+E->u0yM5g1Mc0p>dg98nbQsrWv3nOe*wVb?77cn~c=<<1(s<(1
ztR+-p0fUe5yP!@zq(q|(9zI3sMps)AB2}NmYDwAUB_hiBJXEfV%AmwVu%+2REU(+F
zEHvBIqw19}Z$Gv4xn##v4J_Re_z8nB>CT`y`|Q7!YJ^eX7wYs0^~oLNm3+^no$4lS
zKEtNX+l?CIab)bi<GtUb_AyG2&Ycx$d|8yd8D0N8Ixvy3_#VM1q5i2)Flg7Ip`l>|
zxAhzSrUx%n+zX~!!HY9RS{kN{GGssE7B*#kj{!%zrJ#B9V^o?0&m5==GZaZ^m4d92
z2`I_!O<bB{t%9FA72R{JE<U{aa6NPXyOoK<GxtB1J$0Ze(c}SD)YD$S!zultQP@NE
z@MbldWRVg_V$qRpSCzO=tgq05#VW6_Y`&Ro=Q%tdFJEEP-i3_Jgy!?3U_~A%`z%$;
zz0MMB5ox$*qh<2w$Rl4Q0w)=zbTGe`8_c2$$7cWbHRQizgtKZGu+XIcH`(PRFA!2k
z;sq-w${Sqe>BRa4Jh^xsXD)l5M-z2bDOcy(3;tZDW}b3*x$vZdNV<<3UigP-#ibG}
z!_|7|fcqCtf{SQ@Fk*(_(tL2RrnJ33|HYy;aMFl&V>i`Q?jO*pTK0!n+2m*0Hg;B~
zfv5OsSg|koBD7?ae9LLr{iqrpjtkaPH%Ujk*lE}Y{Spoi`q2?W|Cb2H%yC2WU<V|e
z8odk*>M)RLn+WkOq0F%-@l{2QLaB37I3a;FuO|d^O|;$Qil|Sfj^02;SA`a@V*}G^
zsUB*y(Bh4#da|^L4>ULO{c8ycA!))Lq~MaAGNubgi(2E@pR|alL5L33S`|Vx(NaO7
z_+eB%SwdLHoJtd`ZdIKFlA-f6Mo0$#Ji=#mSUeQM*ljW@k5WZ(4UJ3^5}Msu#WFwL
zV!eij4vg|^Xnq0k@M~z;ucT{exWR}pQLbMROzJDb$PGX%nbZ7cT~8jHH;ajF1BVw2
zuRSB|mvH;bdd_I|DV(T3-Oeh#_MltE1p-r4cU`a*E8<<;d{Ytc4+m$+H_b-N8y*fe
zVM(1rr+UL+2l5aw2xgFQqt*9XNN}+6jVyL5GKJd?2NO$P3k!Jtb{F+0DEUUO?=E-n
zu$gyLLEA_1SQ3weZWB*i`t53E!L1&pujp=!-N-x)&XkvvD<7|42X_P4pR@+cl@k=-
zg?p2Ot>h+kU^kbSQMHFAC;1z%>9IEz$_Y{tn*-FNsK9p%@Zt<kj!M%z<~4`cpB|Lz
zZnG~R$ATT+i3V`h$K5Ku=<Qg|TNo^%`c^V7z!ge#J$D&zCi>WL@MuuTz_7K^q8n_y
zR<&J2sbMfN=r2xRHr;FB_xbwAir4M7yA|AxTEoT6z%zkb?GJ-(Vm~ZuWsJ2l3@$Lf
z7)|(}B4x0Zw;Qj0zW%|e9BijC^nj>3P}IbjhFGU{TT27%VFBYcJfH5hhQV3bq`(n~
zO3mwlKhO<bsdPBlNM;Me1V$P)++E`>HcsFQqhPB$=(j7;tKjqom}*OHu-vJHj0eQB
z7l<_Tx;O?%4Q^v^fZbM)$REAx^t?f>T{*E#EVUh}Fxow@qSj<wQtelc;RbuoqT6t(
zP|sb!d^?14Tna>eDmVj!=|Ke8RoG~Bizrs1JG1G&s9+cULMKRj!mi8qTGUz%B;Sn7
zZ$WVW2o~KzQU%UwErAi6xU9E7eEn%(`qo&mwc~Z7={^nT40^MGJNYUk9)TloTc-PS
zJ1e*cvNhB0F3r}wW3wpPn;iycQw;_RYE=5(G6>ZNVK(9Y^o#es44B>8U91}2(3_~6
z^JO=Eq@nB0G`#*I>!#jcZla5czPkV^s`cx`>o)}#fG3wLp?HR?6_s9xIOM@#dv67I
z`<|%O8%y;j{saGRXts&<&tO^UD<UoZ1ISh%WvQ=V-QN|cy`Wl0c8@9u&*cqRW++7I
zqk|5**b1e@7fZMvco5vvt~OeW-~p)^&LmZV-9f$Fb`P<lHOT4;`l@?gAFUxVO4~hJ
z@sJ*%S#fK%u1EWbAmn<lbqqJHECidlihxXlz32og7`|WO2Z<On?4WH(^aM@WZh>_c
zd&7I7#I(2U5D~pbYm4CnT@K%<vEt+OlK(FIPmrnk5A^2)xV+MTlK#Ax{=A3&{3HGO
z2m13@^yka;=Q3o(@?TDW_Ryb8@n;ZBP@6QXr5<>zhgpjcu+|=6Ej_?md4RR>0IU7L
zpnfrxCjfBI*cICC-D2_?-l}#*c;URfzAYGQ^l)p<5Y6!0?vcUj124SWtcEbH>*Pgi
zSnoPgU-U0W_=A5H{b3|IN|<LPd6a%JlF-fHoFsoizZgmAVpB#E-yz~WL4PQ@+924X
ziW1|4E!fLtdWVFTzafn&%W;NN-|%wKNf5ndT*MtpCo8(sco~+SP+KhfY$yzN0@e#A
zBp9rfGqnz34Y3sq-FCLwxcG8fP=bQ5A`lu<j5%2qff|q*NC%Ak_#yHBonT7;FTi8h
zukZc%@Mfs0j@yOu!*y~!ijyEcduFKbwbz@&*Gwumi--!SktM2Cs*y<&+M7J3!NSb{
E1E?*l(*OVf

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.column_name_model.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.column_name_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d47fd6cc24cd6d946e55daa85b2b1d7af8a49c73
GIT binary patch
literal 66841
zcmdsg3y>s7b>RMHXJ_`W&kAWYq6HS}6}z+OV~ZOL34K9YX;)rJoa|+zRnuKF)wTUo
zSG9HrOUQ7@h`S0KPAx*>zz*91oWR(JiE|hOI)oj*kGPWp9p}S$fZ+(sfNXOSHU{oE
z-Fq)Tm6?^5UDY$A&`1%Qt*-pNeEI(QGV50+9^J5E;|BaM*&X$QX6N*r*JyOQ4L=$t
z+Zx^apzU|!;UmNS?;1WZtR_=^?^M(s^y~gG*#I@_L9^B9`<>y5VX_OW$IVtW$J<Xv
zem!n>JF<B&5o`@6PYkQUR5B4a<Cd=!C3~;$wg&A^<%rkzE4Kj%tsz#1x?Aq_Pa_bv
zDh~|_GU)ouWNXg@SmI%@H<_wQ;DgP{Ru1!#WJ{~r@rOqS3tlqq#c{v6Fo<EUIJeEs
zMuhX2thc-<f|u|-(E(uSX<K8^OMfhQ^^<*n5laTiWb7?r(J<H@%mh1v^MlR7Y_fFd
zuE_64hfYQv-&;6TzqHotcSFEPbm-_EwZ7l$Mu%?jV(<2Tcd^;>`-cGF=nw<+Py-5}
zIu*>dyagXBM00gQPz}ebwGlyc{Rn1z!QoAVg<wN6(d;z*(+Wx%wu4v0?1BpcldpyU
zFM|IshX42DOaWQ_Ce5#!Z0UK;{xCTN9S>Um&sPe9FihrHi-ScQ1Y3{9LvIkgJ~*hL
z>o>}xYti@OLEo<}^u10!&@gsLVC+y9W4+~hL^RC1vsCFW7M><xc_UzXDwzTz^OpKv
zFHkU@Tz-AG6MM~0R3YlAEOz@9Hh2Y>i-xHXSU4_QJVxI8#%r6>{q=ywYZ=iU2`)g=
z&Ruat`ZYkC>jBw<HUQ~!O!^4%kvlz|ptnYVY7jBWbxg1vfpxeIxu#NOYt-x%UH$#T
z<jR8NJ!cFyw30hpDB#&GAZhCgAqfGw0mLbk)S@Pc7Nm2fPVyFGj4BaUt?l)CFy;A5
zqgjuS1BoA~G&}K$0~Ms$wjYBCVP%y!RgQE!{(d6BDnPND#_~FyZtNKnJK4&RC5To0
zOzCectW>KQ{UuYU+pYPi=b`@C*6aHqA@B2tNR}b=vdBf}@4dWbL3W9e>i~^A7#cx=
z0=m@&s}?05f#u>2^mTYJe;umHb|9vMfOLW`*@?i?+R|@d)eONqf?vi(c_3Ys;C_-V
zFv}^Lr8&jj22F~YWZvrlf4~LsHUyYKyA21;2lUr%fSy5sO5$%dL0Jk*CYVTmZal7$
zOv4ydcCU6l>+D+gKudruPAXmPV5ioBz@_n4$K>zlV=~#;8G7pa;@W-+Q1%3o?OB8;
z1fw_T)Z;-$1Z<oa5Wtf@>K9$3_Ohcs$w%FnY^)evJ)w3L{GO2cAP6;aCb74p=XV+)
z?`o&P5>t@Jt)6`#TcM#b$k)_C@)ac*y8dFL+Xjt3Og8nF!B&D7@p2F3)&w!lkgCL9
zf60%Bd?>IDmgku@G)yio$nz)&m*-iZM{r^O98mNeEX==?7}$7R;{UiYpTBd==jqIv
zBlfZD|1P?gxY`Wr!sz;^j;>WJQbASle2S;wyBdaQ02M*O-;AF4rUMl*b9~fDFWdu;
zivz?`vj;tC^nQW6_c0KFW0Xa}MzGY;2Lg6EVE}lk8^GM@`?~q`#~C8wg2AY#Oju}#
zj{`OR4p7s-7SxoSBc-8kX>guRd3rjnC?=@B(ii%ud#2VIgomM#&P2IFEIi>Jz=}#S
zKvs}ZiAtD?EMp>xmNd(Q7I_s$ZqSrfQAL)657{6i=`idP{tOA}M0E}(U=cPXd!>r$
z_WZsVcl(OKPBy+t5CJ^tYyU5u^G`N*Gb$#0KQ@^eu|5FRRI;_%p>Tj=6l_7mSU|&m
z=m34(4G^gGMQ_lGYxjArfv*FXoEZ&zy>36QMQyJi-#h4H=;3`J^TUs-Fc;>$(G`CS
zSd?4U+<;TsobWIr0D%us{ljD$jjiqiMkt1wF_>&Et<r+;23wPDi-T5+Ot#<=)N74k
z7GXHN5n%F=KZr7z&0GiXSq(G^SFakpSqhi=>pY0c%vYGMoWIAeUl*Vf4~}4ca`^7y
z@@HQ%$@@sDEPVwu^PI7`siI6SA9q-wv&mKyoG-7X(0up}9EyqdON!4Vg&Q>YO!#dB
zUY%VbrbDI?Gho2VILNFFZFQ0Q{*qDO|Ac>B(Su|w8AbInwvA#OgntA5r}lxgqqak@
z{^?$;S#QR}_fdsYUcUp6ia8a285^gTQt*goU6er~v$1BA_2*?G>ky3&78Eu%qIx(z
zi1CD*HvxeWw}sE*`Z9(~+3Aw&G0a&iP*tXhl$zlV1Y{<h#(yX@S~N<vP8Z0E?dr{)
zX592z&3E{fMf9>DE>5^N+~zr<dx|$mF+IaDeQsGyhp)mG7aZOU%cMX*l}s--{Z^x9
zc+Mh51wni&SHxOc#G9I7g6Z33EK1B&eI@5Y;_dP>6A3S6v!BC%n5IDkP)=f@+gQ#(
znyQz(j{}pWR%xY*&g1^d!GjeU+4WkjN*wqV2($IOy?)b+eI>L;tBJ*+Eg>>LeS0^G
znhPzh3T#izudmqF{FU>S>W#;a9X)pF^8J;&Iv}XQK=2z7S!{s9rcl9L+dExr`JJUW
zI8edo&Y)eZ2VOrq0HMfs&2KOG4X%PAuE~{Q4Lr_nXGvL-M0EkUZd70C#Bpn3;z&@#
zL;!blu~{EJ9KHxEP5LC<fPJ8G65hgy=O*|Eh-P21sZup`Ef%TrE42+6(Swz{M@-Fc
z_X00!M(X4g)887J2ph%#x-vJyH{k*UxJCfyS5>_NW(Qc*EyXo-e?44;j>BJqKUREU
zkRp`G+PHrduJ$Dpm2dybBc=<V!D*_Vj;=D>32C$H{Yt6~-^-TdA^fL|q7&kGg5#8{
z>ZxS=LaSRpStCb5Atg?4DXxB|FarW*7pt7k>O*W+kBvL4Nto56(AZ^JA_qRg#xY4^
zl%X>dUSFW|Ygy;08%Eep;Q>~4KUED6!au?T;mR$%OnH|~9`j*)rV|PJlD{PeNtHc?
zy%r@3p~{}bMpBi9*D2#>Xu##TCcJPa{7M-xz>J&;pMe&mmX2c=!7YVd=h}uBBdn=G
z63p^Vv$1vqgX78VxZM=jPWjEHAdag0LB$u`WjAcJ3hbo?-3Dw5-Z*9ta~df67NNAj
zV4wE$>&sX$r$yUh_ZaLG_~J!!v4L2<J*?2dt7)T>+YaxS4R;#&V}7*pR%gJe%`OJ4
z1|JSSqWQ%l$O$`3;e>4aidd1~mU!G$WqZJSNLUFf3M@bzNx?#R4kAR`^z3sfXb+`X
zVx1Ic)0e0!(LBmSRIM5{)|qUE0G6>cLj$=(2`nNo6aEYU;F5J58{umZP&-0WkruuP
z@{2{-!aqZc^WVcCjl{yI;Z5;<A_%HI68>jwGVA0U+D?aH8($>~8f@aI9V~>;Ko5cd
zGFs%EV<;mlTt-SyReGhl<#Hv%qYOE>@ezgC&Nop-z+xk|U;&F;B)HCI;eUa-z(R=G
z$vMMze7X=U$Vr=cTbblG<C}b=FKocD$s~{v8N{KFKWXDx`90a`vNS7<+Xgk#>0C+8
zhHMI$3^1;ex&`*<(eqpt^>od+>WKr9tC+YZc8K<;O%fIJLXhUck%aii@t)Udc$n7K
z_vaQdMP=>=D7^`vFli+%gftOIQ=7Yk{y9(q|FX9{2gUuqw+#6$3tn6gU?2S*{(R+V
z4?`<n>o}&q@I;pbl_=<*szH!>u?b#l9izw#-EIqtZ}M6Z40fO2U+6~AoWH)aKk!NY
z&=xZKqSYW(Ka&zaO!3Iyk_*V@dpD<II}5l~&O2q><PX=G5g?I63L;fDpIARj&kc@r
zWAoVR!_LP@_e8hg7{ZNUKXiI}T+)P9KiW6v9)(6AkCbGB{C&`my9coEgYp3^yMI`s
z`aH@$=&h?M05~SIM#cn<V#FrCU_h0xVe+gDJyMeJQHq%upUo^sZf-~TtQ%7Ma_|AN
z$e2+Dsv&I+6n(=zuwow;M3HmsF%jp?4f)^h8I(lbxhm>3U1T8cMfb4f5$70rEzowx
z7M)`a-YAK-otmCDP*rgcRUTEwXk((sk#KXl8)6r7bYnDdNou32f(PM?LE26D0U$Jx
z>ZyVnX#-`{&2(xt38kaH(pAqdxaV%4&~4DDsOqV?2e2cT4`5L}Sdyc9c4`)4uI|_-
zsu^@UFnTsvL|LzbvN0W~7|Gt7!D_w+dDsoC9jknRtOnVf&64||dw}xTpfScpM1Hc|
z6K*(Nh%gw^N$NS22wwLG6tCNr@AQ-t(C{PBjhV0~5}w@L05E(^g~1gsChz4rHza>x
zLNYqLi2-QfQy~$jfV;r$!ezwU9<#m>a@hi1)V<)GcaH4-YiLwd)cwRgfSnfk02Ttn
zk{nUD1-)4|?<_a7LVfOgCiK2mEZo>2#rSy#44#R;+1bsFjS}p3&^cizyN!fFW48$k
zGzc2xzjWkZ<A!AnhGQU($#7@cVj>wfo8+~`%;ax<Zg)H9mcvwc5<wJmT^HR0*qMqC
zU|}jOSuLiz-{|WlWvbJJLt{ugQ@OEGf~g*NPT0v*BVo{(Y72(x1m&?GI@x{F4apcR
z#Q-eBQlsnQ=1Lmx3*V1UB*xCd*TRzs)$=1JB~r)#lXLQFK1o4KHJdt~&B_#8DSu|8
zyR5DkTPe2br-%!e0TFAnm2yr_oLX+8u+^YVlwZb$p)^X%CW@M={MKuGz1A}2iroXL
zVi0eJAa?_fpWQ=AVo|f*Y<c}=yj+Pe_FaKgz-Fg6h%1<Ahli5c@#KhYyHp`*V><0I
z^+&X~Ktq3PEI8!8?WR-qaN2y)hjV{$>QdRC+ik!m7-^>laylGYg+DgNFeHnz!axb(
zKVoeL7+6R9l0#+ZFWI?#Qwu^;iZYMF^F63_9BU^E{XSnEkR4UneH5~TZSz$}C$p%j
zm?8mBN!XODL8Nf*R$WKBNr7i)?!!j2T*e&+d(W2Df|*Znb^ww!ax+h-u%rfQ^=*Zu
z**w#n&g3!-saL9$eGg|&D4o;bu}a*n@EwcFpa+*#&}L6~SV13%-Vu@cHx@>Pno{>&
zSgmXd;uX*rF-tZD5sNgd#IWkax(f9+F>S%v=?i@!Z!@}eFC<SqyoJEbud3>lQi+F0
zq2qikQR1OQQ6}*)gQ1+nLrc9^k0K0-v}9yekUi!Iqh!xac<Bg?qCh=_OEnW7psL{;
z;2)jG721DW8sDo_j~u#|h`-VGqY9kzuQc0m2tNiD)r?reas{?qahr6|YE%{=N4<F(
zl6-+Tpz<{Q?)&!+ny@v^Rg%shYTQtWjdXNFgZwH^p-?7VJ{5>`-FFintm(Q~qz+@I
z>*~C+84x7cgr4PMlc@VwMrZkCkBh`P<S_y+zpBb1;Q~~qJZ0k~j4d_yBTzRVH^d<l
zF&PfY;3bDcEcLEi1?rJ_O;)2fU<DJ-(R}vch;=E+XGhFH6P_86N)r;`BM(jiH0JOe
z0Z%`u(BZ%cm<m%z{l@gda)qB8wDMOrWW~8GTOjdEbo(4kRb_&FV$7!}!E4VD+JM)r
zncP^ajs*4QSAYaLjTQ9*<YB@!nmoR|y5w;k50F%<7>pw!d{fI?Lebj5D_PobA64a4
z02!rzpV=Z1Wd{cUE`5nAaETDeUz<rH<1CyK<Zp>NB7mP7%d!#z_^}{>tYLyh+Uh$E
z6D2GOCm|?CsY89nq~2XV)QY&>4UID4L&YB%Til)n9p|$LiCc-9jJVBUCWn74_1;jL
zP9zqS@@;`vOc+M<$`8x(inGh`5+tLU@Zti!@|1IQC(K+wHL`*9!4vw=q^hHRAeq1~
zI7=k>OY9P7-Cc@Cx%YDyHX7yqyjhrZ$?NbCRi)+M2X|I+9|dyTA~MyKWHw>A6s;~N
zQhb1!uvuolbaG%3TDTYz*M=`6;$@YWaXVYK3NxTso}TtjVu6<Py=A5+&S$&_8x>zp
z<ph`^A3<BPLLI0N7Y1rv;l_s@A>JON<#9@3TJc9m*Apv_s4KPNZpp#Viir4!$hdSj
z;@QI@tS478n?20Tb8Gf+*o3Gcm4_idJp&U9Ps*njJXtb@S9p}=pSHSQqqf-ZwrgNt
zo?J<?FkK0do@luVLmfqKo;2g8Iz%hT9A0ww4CiwDJueRCF-Xc%bjO33SyjPFDQ$NU
zDp-cNymm-`sk7%_!&0kOPd<Z)oo%?}F8q#cm3(2HW%inDObNbeTJ$cnoJn2twT{Gp
zl<2S}wYrm}Q&fgO#BPj);~grgFeRBLOl1qJN`C4jZz@!){H+7ObDNU_?E7p}(5Psx
zz>IqU`?e+@z_P80B`U=#Gp75w$mGfDrtIZl;iX1T`LwU9CiSe2kwu%iA1r@w=^!D{
z7}166d^I2#6Lab&Y~3mjgs6+#bvDY=x9i5gFBG{Zy9Q(Tr&H`Nt@gT&4Og+Gkhc|E
z6tRzJTbFe8!*7C=Set#s3*1^uY$vXNkx%<f-{L|Wwr{e>$<&?D>aAd?KzO4I_h8Vy
z7!@>HFerAia;g~z;-nc1dx05Tyn&?a@LfpLGvR}UNgF&5ydvinvKaUCdA}r^e#0_I
z7JkwPu+c2n(RrJGsoQ%aSH6`hGw}`rz4YPMk#2t(PK6=SK&;HKEO!T$Qyv7%Ae4rd
z2kp0~M8@npeWOCEapBtwH7|*YoWUmwPf~T9mZ4R4JMW|LHfK8zi!^O)NPT0A0+1oh
z5sN~8(&)@kkBS~sVrHKs;PR`gy1UdS-WQ?ceB4mXOd=)|Gt1y5CuU};cg0wgB3C~d
zuRRDK6P8rz*i#K=!rvZ&dnG)A{8P|b{xzz)YEiBqLw72P=93D7%cERB#74#0-Ia-)
z-dr&~RRR)<ModDBg7GJWxD<k&%PVfK5Q4c>G(xCWi9ky<;yC~pZe^rfDD<<;EE<93
zEE;hI;DALV=xJ@D5l18MKED=sR~(Cw_iEfQZWKa=WCbyZ%S>xd?Kc~NkavcvhlF>i
zZG_;~UrM<{TIV(=g}XiBn`PVNbL%Xqprh#}ci|fnbGG<HPG<5w(5R>j-**pScj5T}
z78f2%REa#k3;(duQ@(6h&4AT$;on0DG)A<$@C+6C0#~@@=)%9<)~#ath`Q*)rz{g5
zM@%5)=`OsYm<-Dd<MoycOg_D0jD}Z2yqM4}Z<a4{f61qcO<y?6HVmYA4sU?o*2Y;r
z-z8p!tISu0{LPy<Vn_O$ue$?Ok>+pWK6|dWS+u$o)Zw2aBs1YxIY2_S8<eb&obWZ*
zxmc!U_)5AAYoA{Fy)q~krswn6XjYI8$Y@)7Y3gZSU*6M1b)|Tkad!oN=8J`=sQOaR
zLaVHw`G4STj-QD|n#wSwSt&pBtZBV7C*_M&xV_NGWs0i`rj(z#4?51r4f&Z8F&RHI
zgO?mX(^BuUk$z^DPNWclwB%9ojBINVIwl;ctj_Z>e?&y#ULw8)kDOD`1^NzET{R!`
zXeo-~KIX01s5ql5syw5*Qy=r5GLVpuc>-Fv2wQRD5#mw^b}p~*F@;DLipbrF?|2J!
zDiLV$G4}(wE*}%inUDF;@ric4>1l0z%v<5Jlr{P&Qgt;hZoGC}2UCKv0`Kx>)BKU0
zvJbh@);8Q(1=nEJJh-X~0)LhJ=^{k&;kMk15vOEV!sArlNC8Cd=I_9=saipo5^i_%
zH)Y%8lP@cG)AscT{Gur%9r#oxP<oJFN%cCSsFC<)Dqgv5V>)fe%hGF{Ca6rHpa0TP
z|Hl%2C4A05ghoYu&i~*Z!0vPM0W3ZzmZ+pMzR&p$qbHr{)XY8ABv>7v^DhX2#)x*G
zlc6GCmI^--ea=6iZWZD<FQ0KU#4^e23UZOZb%NQrU0;AgllUnEtkBJ0yWIoW35E|~
zAs8&lA(-h@nsICx)+qSamhFv;+yE*L*Xk3_g)lam*5)VcLM+kdsUZ7)v8EgEH%`D@
zWwbI@(~fL65CC2ljkXZQ5%<^y@VK%N1)GM!S#~CLlNY#lMekHO>729kJo-o&^z-O4
z5S$YrdcY0I80XO$fCfI5Rm@7N(RDF8mTLI$)5y%L5FPulbMi%G|H?@3F&N)vt8-L|
z=$H)yDel4#0an%~I(BZZc_>3;Y)L34^I<M(M~22K*ESjzk9~t0x6JWVC1?e+H-2BH
zV2rLPl~ed7T+^BGi-ng~gu~XE*+{7V0-q(IdhNqsUoC@D5&rrLHk#!eo0Dh}z8(%j
zh@@BW1R&k4>OM*OMzUzrY>bY7ij&cTk6$wf`<k5<HA#vocs&K9fO-6b!c$j6Kc9nE
z*|69P@RoFU_Rta*Y0BHspryiM6Fc<I44tk>WDE)L6QY}-kxL?}rc9}@*d%nEj~fb$
zNyKErVi~;TgvBiN_7^7&DMOMHjX>0xqoyJ`F9`NsA_4b;@N?CFMOEG0Q0FFl$`6b^
zK%@pDHjGs&aNkB3zfVk`N;+Nf*tgc&@NvlIL25D$P1rZ;jk?xDpwcxExl6)zkeDR5
z{_4Vnm`@<$$mcxKC)hGs=E0&>W1c&V&fIIondf!_F2AbEJmGmzx#;ogyP$49Zism#
zVlvE=!AlPFSn3^H13Hqlk*r1Uz>elTMziCUBi0S&qsETTF2$L_|5bp=d88YaWWhk}
zGfW<=)<=LIhpDSflTW;e1Rm-BAT}DI)0Jx<ibc9VQ3eu<bbq|SvT+0>#HA4IUSWQ=
zOITl}BHh9|mI$;&y3Ye}U6F1qXOZszicb{jrl+-ubRUBc%Gc;9(n=!T#<8xk<J}UN
z+<5nThyW|Ipa}3ihW)F2ljsK1`;u*|gwq;+(K0=JhQ~{f%MT5o;Bk5$*;>KbvcCmV
zD<&$0hmU8=z9(C)$5lyBl1)jZiy)fvM(Q-OcYZ3TY>TD4w=q(5h5r}3F?I)b8w<{0
zNso|O%hgk4(`g4{9_lN7B4_S&uDCr$wi_B1-4wXcJ%Byz$Oo{*c(FvK(D63~t~7ee
zSBt7mw>p~wmlFbw5nZ^>*HwZMaZ_Nsty{$j6m>DwW}`wq5pADS${21dh92qAyG~yB
ztTvL_AjM8`y`9jZ-sGBpXL;lX)J~>+fGjGeq--{V@b7XDqpVdyqEkj17b*Gomk-_0
zI+0@GT|}40yM^{GK4!EsxMmz63h!I|k$da{%eAuLF(a^%%rAn+Hl9u!hu;Bh^AZJ*
zQ%#DYSNJU4db12D^!hy4^42J~;{EJ?3w*sU8Z40Fg)fE)wVQb_g=6?lq^z0n>xBsn
z@d&2}!@nYvfx!C<-q;n)Lzj-{--y{jC(`ansRQF!RTl1ZobmX37?OD<|A0^AmC#d;
zSHi)?{D(Q+`py0LV=@U}_{I;f4e|45$CF<`T1r2Wz7qFDp7a>|z6l+cT<?S#g@ME1
zKWsDjm08jwT|_!h_wycy4QyfOtNA$AFU9RL!Q@vW7_TKYl1aO3moA-kIqNoQr)AsZ
z-@N=Ya||??2KZ|W;NCRK3%Ah>^>iR1G1!Oa*#)%v@?0cQZ1XsBPK;a#jfxuTm%9hB
z>sda4McHGCrtH&PCHP={6srVHv#;8639zPNLfve1tkY?c4PE07h%GcoG3)8Z3_|lw
z%D1}#wIh@dkToeS*(srWfCAQufr%2gVPp}JZ$>`ghSP}%3uWQZ8f6tSBY)j!WsuD{
zKomA3f6F~~frVO`8Oat)*Y$3RVL>}%^}^{dPdex9On-3;6)?uirN2DuhGdNN7Y3k#
zPh}N_pN&5GER60l&_rGI$x}5No{vCV(qE*$w@FJX)YZn{IVV4kw4_0bNz3mSo4asd
zY|~GX98N%QYvaCTu2C^81n$G|MIqaJlH=9t8mM=Xypi7s=)r+7xcVACvyfVO>{=4c
zUtkwVEH&@*JD4p4T2DF=<98q_Av}9GP}59!CjL|C5^U~mtV?T-)@Ki&>PwO}Q!Rs6
zvBP!|HkuVQ1v0{YXzZ=2u~@0zDhw#?+X4z<!5%+c^9)`T92=v%ZzPdfcllMblW+8^
zuOuOnqwuD}vsL%AcR{OcqRc;mx1dICd;M6X600fj^hB90h!SB%vmZLt$Bga_{jW%G
zbeZ{X|4{-jzp5IfE0rp9Cv=>T9op?@sL^M+G2hxeInMkz`VDJSACrtiP81d+^!{<i
zT`qywa0x0G&7ycG)Ex(}`Nr#TocVFQf)%yj@LsS)qw1VY4NJW_R11azaq+pN|D<e7
zP!;C*sUFTtc=|b*naj{Yw&Gj$DEbO+)xU<SuG*=;KQ+*w&)Nts&xLpj8x@z-XJi$<
z5KOkBbeU|WuoPb{12bh!e1(wao*Q2ZoLi}-a1w$zA1JhMsjLZMQb|->vL;9tIO3C7
z&f=3V;uFOu=_w~Z$pdxc#wKqI{8n!z5lM;|r}yAqHSPgHgkuHK$czEZ=XLOEIsnMy
zGb>0ec-0<V?B&y@@P{z5;4IlH`Pj=ptjN}YcJtGmf-USV3&64;lHtjkx>(N97T0r!
zT~qvoufuMPOoC0-{Y>z@`T>ZfUkEx5V*IMhCvc6vr>!r2KUm4}G7N^Cb0^n3r=|j;
z+EMBb`^v%|*TDELjl`!f+)o<@QfU|NhThi3{XEOu3m}?77YsMf)(_>A<F%JB`bfw4
zwQmKP1z#hH>is5s>d9-tXG!pzHHv>Mec(cMC0~Uh!Y~sC92B92@`VoK8n5PDXSnuL
zTxXAlteVaAKp8X&o9P|cXqJnmoHHTH4yqzs95*HWS{X>l68aa=!X*L}qZA=7XbGJv
z&@0a$6-y*&Fcm1KFh)@LPOab}iNLHSG;*i*j{rty34Ioy$P%KbwXuY5r!?|f+w1l4
z@IiG<Lk2!L((U>EczORYxpB-s<}^@pt)k@fFDsLx-fa!q9m?~pQ8aMQ)C$J5NZC7f
zm}f_{#}in}cL=5g=H*8Sls8helF9NM5R~e}=F3%KV4yMgjBNFaz<g@r?KBpK*?PuX
z9fRMNxF~P*rFaa#h20Pxq^9{U^geNO^#Ggzie+45&pgGSl>!~2A2=aWZ8iIvrm&<E
zF8q(s>Drh~BZynrPV1e;$)fr)UmB}LrRdO0`A&n7!LZdplo|1Jx6M8~@CBzP*_QyN
zc{N5$Nj>3?y<}`n<3DBg7Q&~Adf9FYZ#+s>bNwhV0{T(1KuUH>Cet<{)NJ?FUI>FS
z4fz^;A`MATIU14!ypmj|oB4vQhI+huMd~ri)r&kN;?OMnteORS9ABmUd|~QQ#m|+p
zRq}7wqcR7S8R3Ghj6g)ZQ2dnKM*8;_IqmY=BSl$wGj?NW5Bk70rRE3_wk!E(MlAbo
zCmeY?!v;ahyy0cg>DuUwJhBzaV%?GuiO?(fVpz3=x*>fgs0p?)h<k!WZ&DFh%OvrI
zF^(}4_6x5&q89z?^^MwYirO`Fv)@|=tHRBG4>p?RtUTJy-X*q>bTMPTmMfl^C9wLB
zm4TC-@JFG=D9z5dBXB+io$z-R=#@L+VgXAz;ew$gdh?ucr;+g`fRY&*e}YeBWYANN
zk-@d^*c%d^L7Uw=7p;m9e%-i6MhZu+p^<!co#||KPNTf<^Gq8_Z9Kl6^mQPjVpg_l
zCw)z}TK_mt{qAW4rLYU3zLG+WY^E0^3d-9|Df+_iV>gD)v>E(tVJ%I}qt|WNNk4Ip
zoo6T6Mpf*j=b+QIv6Eb+D{Q58&AMbS{WrcSR(nbDs?U{P^=W?n5cjX8(d4KhX)xS(
z2ANK0;XkFk<gXIN5y*Ra<59Yld&y#kpui;ArUX>fOMX2J$`sfEd?E!#PdN%KWB{+k
zOa8^afA0Y9s*Y;!@cZ4B$CSMo4Bmx7>_brbws94j6{cL>Hrk24$W#zH1CXvrh2Giu
z)j<B`lu9xrQFx=12HiW(*UGlZpRP0Qor5?-m~UC=c3V7>0a=Oj6+@QaDG|Vz*s>K)
zUFbM}yU{E^WS+MbZXDHMa289$MwnejwQ4G)3mo2oFdOKZxXEipzR-5t;3OJ*q0e?u
zc($X4PUTg26?D2b3a=n53f=cgA$-y)SM#N^tHHd)5kQ65s}vo8mXQRLu9~7{rlc6Q
z1!ErrIGCDw9G^(d&{K|@S)reFcONpN`;pIlrIo7~5ocbRhOvN@t6|om{IyPRlp|$f
zPHR8o`&6IdEFhu-`LbD+R=+P>y`ok^vo!J$%`6RDsjdgUBym*U=}Pe%K84*FiimA<
zg0BT%EP#{ILL-T7&a^;>=vgO3d9IiZmQ==tPe7+HnP#$Kef?@C+iZdhNHhH|Un;9+
zQUlsm?xAs!-l%l@4Zn|x^7TQ#50?q>ZBXg36>lJkCwu{+fm?G5(+{o*-q-L+Y{6#q
zyquBZU;gY}k-s=-RTjH_{K9aj((!$Mv8{hP?t5@%>{f5VZ$*{+njT*2*{mx!OpMt&
zo!3v;ynZz9yfy<;(s`v!fr?*cC&gkA3k%4RoUJ$H_fR+ktGmw>2E!hFB7=dRatsE(
z5G(OZ?~LFk3W}TygJC79-|{kwo5yuYGvMSJ3!~l9J56^q(>eP}jF`EyD+ssG={YBG
zC{4>7Pj$-POs_(4TS_F6lGnN)RyjX%;`UlEl5LaEysW%d>xW}3I3nejen4iwMue`V
zVCYRRk1N?yy{*DXXyPZrjJNuly;<VjrvGzJpkD=zir!gq#65uhP(L5Qa>N}=R2mD?
zJ1fq^oilM~g--5-<D$1$G>jqgjm@Hg00eAUED&%{2DSO;2~W8JwWF2~kd2904h}x#
z9zZ#eSr8K?Zm-B9LRyd;PZ$xO$J}r_5n-V*99pBXLbq3Z!f0iX%{V~VZ?8boHW2W6
z_t@nZY6}gr`Xu{|8&D^b3X$yB-2;@z#7anZ(*c>Oi;ueG{ec_OvZ%=JY5hO<0Arv6
z#~7C;^0{~KSvtFwU>w~hb!sc4sxo^KGQg`q-Uv8z?cIpFcpNJ=S;8w3)o1~%@Hp1b
zx>2D3ohNWtb{y+c7{9>u#c?bf22wnS6~M~cINcYHG==3CaoEz3yZRc=5F_2y**oB}
zK$&{QKF?s>&H(Y15w#?@hsSYMXTo1Bytv#kU9XlfA^UB7wt(zxMpkw7$*1Yty*^y1
z4JXc6)+(kBD6b@T$@A!xL9Iy4I*E;DIq!~6%sQ=E^p)yeoo2Ul98J3e<XoL#7kywL
zprYh=OS*xW2i+QjQ4i{hlD-%G>3X*VF_su|zCpgS&o5EA=!F@t`p0q%o4$yp|IZ5J
zNWGomPH2_A6XZd7n{y`!7HP(lp|<s#D<%kw!o%dh^tFA==+ICPicG`+2EP^LQ35c(
zswzH9-3sy{=r|ugbSnr$jyBJ*4M*MiBEbbA`UF2c&II`iIFZY4&EvzeANt5ojWhC-
zB~TlF3Mv=9801f&Zh6!uP9y7U<IJ!SZplCvxV4z%-y3J-=b@2H|EgqL3b!weh1>9h
z3fY=Y*QT>|M$cz9g)cd3Ew`><i6%F4Ze6j|yF(L~C|_4W=t@pW)}(u|2h5qImXjqi
zOIf=2k01|3G|$pS<>pE#z^Vr}0m|VFHdP(1ktbOYU#esITcV0|@uj8cg5TdVhmDHs
z;$ml!uPXxyA@~|-;o?69!3c3F1Ur{k+{z-XCb7}!Zp5?5gk38Um`#Ib!oqPY3kqts
zx!;0`u~<Dl<;3b&xVe8DMo{T8v}jcV^kXMMr*Py(=9AxD9|38GPJUj=aW?EyoAboi
z;*v{Fp7Q!j@NM~PJInc-1k)<oU|S!JbLEvT5PsFkhVE^Fcgwcxauw43fSnp<&6vNX
zw5ng@y6KWjgq4hsI)*<Yv1AM4J1=s59GZe9pGMKQG6E2TiJ$s_pL7nG6NlkLDZ$iv
zG0MhyV@98K4`2_D@c}FmT`bXzi*&x5fzTNkhAj;=O=bGbpD}vMw|Z1tO}#M3$P%P6
ziUrl4hOsl+$^J<ihKhXcA>vpV^Lo_Qt>RXRx)}3H`7s<KCRQQl^`jMIbY(HGzb`g@
z5%aQPAjNZdKlHXXF|SO{zantKF2Re4_?l4s<w1^CYp_d6ZkW4+$GS)ZP`stmBnx`E
z;-ALr4B3^pOf1L*jk3)o7ljw>Bdha#{HIi!{X20+EKTEF-Z;Yz3fZEq#tkHa3yGnu
zfi&{6mdjyCW*}XGPn66+PdNrs$iU5vWY4$=Jcf(leqyPVpeQ>tTn0-$nV_5KY?+x@
z%wW4#!bVRfY{8DKVOb5XO7_<2YLkQb3A=-IwFwNv(?djI1q<0N$U`r<7?l406BK2g
z4rYSQ9Q*^YK$~2vl5CB-gMJ<IlMf)#ZcKLZ44@i+e<ax<-n5z>e|RL>2815NjWy9Q
z+1u#W2XV6%&B2Yio!IX*hRN2qd949_isX?Y|9Z*pBME#It^-$9#oa!%pMvBKKZ?C}
z4}NTC!@%boIw#@hH2*p1x8T>#xLdC+c=eN53d2p{XHJ%f$r+2?Zrtg{zEXI2W3n^y
z>oJ~iIt`gY?IFC`1&MCWUaj73x1nhSUCyvKe#@sfwNuSFU>|V=kYPmLpyfpoz1Y$B
zd)+?dut4%_Yj}85G9AFRTjJ+LvKM$VuEA{LL6p9oX!r|*CFpM#SZ^J`71ZeaUK`#_
zVS<v6lNvsp>}qy;gSaL>Kn$BXgLv`a8xKa!rD1ZuURd+{{cgV&c%4Se?*pC@RM>e;
zc6SG{-pd5_GE8QT5~GW-2h^GDV*REth}P%p1xDj!56&S1L<NAN7R+gwKoqpIH1L*u
zz<2|GZ}L0C<jlTbhxD>q!|wroz%clonj^_p2(vE2Gyx;cMy=QP7n`TS<WF{agScBu
zUnQHGKvX*$gLbbb2@eoUFCakc_dAeZ58dphH-Ozvgv+14>P7yb(XE|sBT4P?Pxrcz
z#H_X?Dyhe{`<hXck?8JPqZ#4NYA_KF<)mPU;6SniCKCY*crk>Wq0^nbT5Yk}g2|m2
zCj0OS28ke$40T|Iv9|^+`S!kdO8x{A-HTiWl+#%PLTokL&3JgrhHw4DM6#>r_iBI^
zAM)`ae+`D&fo~}P1=%C11aaJp<_{e@b?VeyZ#fRSow;s*=}^PJ?-10C4h@sDu?2ww
zEo!mfhJ}h@VYb2hgBQKw3c&2H{$kx22H&K^oG*rn;h0A>*Yx8>8YYO_Ef``d_7;GP
z8gVc@ye*jpnrzo3drI(YQ4cBPeaW6^xf6S*Ye91<Xu<zLzgt?}4v_nfsO<rx-8%rj
zjsQ_-(r@;&*6P+hj@sFJ06P(NSa`;7fMr4<v_3iL!4SJZD8<bf@XzGH`+$17^=4-g
zXg~;tGf-5(=cn{~d;Io--vC}+hOq+QkD<4->#eSLvgWtFW~=5k8gRx6CBwtXX1{aa
z5Y$Psjfn{0NgyxGHUxr?YcaTOK8PG3hP^NlkV_1b5=f!pFGj-$K!|B?QJB+f=xtH{
z*oth?p!bvb5}zNPnAkx7JunP!LG|($_!A{lSdO0)#M)GFBnmEsTP&#@6wOt^RI-&p
zmCEJ`2oa&bC{Hb1MaGh<6qAW&1S)9wFe>oRz*ulO!Ed~*JaDEgm3zRz=SG_gCJhD+
zcvB~W#qdSc$rGF5&ocgbC;s{7B>edf{<&ca{@jdzJ~Rz~eiQ%Tx8LZSkMtP@`qBj5
zXi4{e(nU>lK^I-W5#kjcAs#Rd@enGVyb1AO5M?@tm<>(aue3=`Mk$%@gJh@5E40u%
z>rK!mNGY)R><x-UQIAoS`i9j5Is@KnFLYay{iy0$#!FdyO6ze-j7p8p(E11M){jx0
zo^AHUOEx6aAh7G*0gB^cvK<zr1v~(A0Hr;7J%9fQ5avU}V<2+Cv;`3i1RsH}zyX0Y
zcSXw)2q^J3OQLTUA45ydxvK+G90s5*I#4MLU(y!NEtf_w1xEi8X}N^O3!k2Y7EWVo
zf}07O`IkMDi5rg{I|@@4R#x~bv>ajY2P~<>lgLs31EHAFzt3{|dN8Iu&>nEbXN!X8
za7Q5A^4D*I^j0qWqzq^oTc4Z0y&FYM{XWo&*Z1eAEAU?%q%Ko42k03MB^0F*ZkM(}
zz=7x^$GaLnguL=7{L$@RO)BglO$+J-6&n){AKfSrO49@;oPe3#1pNRHs)$a`kZM}2
jH<8_T`I?03_GYKv8Z<yVc9&3&PB+k!;7XUV_T2vm4Yr~H

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.data_labelers.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.data_labelers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..33aecf685891b7294da8371d1cf8d08adf9c16c8
GIT binary patch
literal 248437
zcmdqK37lm`bw54>voOs7vJGI<GZz@(4fHf1Bue851H-T{vIsbg&71B!ym#q&uYK<|
zGlQU@A!4}h?Se5T#(fE>2|)$HAO=(fiBW^b#O3$<$3zYJX*4cb{^y)pZdKi?x^>?&
znZ{4TyuP)a`ktjuo!V|){I)$7EL?#9OZRKf)as2LW7VmtMsq4|&!u}!H794c#f{F~
zTj$o?Hh0ThC0*94Zf`edTa)ozx&U%a*6Pz!t++9_c`n@-vv=y#?J-_{X*-_m)SC@i
zytcTuq_%YPT&1=wUEHa6reh^3-Dg9!Q;jaHZi%PkR(lRJLcT>;#5<4xGx_#8q6n%y
zFkLcJ1sXbYwf)m&6O!oKp6L=!>&5A!>3SocyLfg>H65yUI<5Ma*$(s(`?P0$s*Ut7
zot&<=+wc*7FK$$~v0r;l&CX<hY^hG((2BQWp4oJ1r+Pgm&DHj+4cC^}4zKN58%ZZm
zxUvoOpKwFF5m&dIFnQ9%Oskmy673T%xqPA(&otX7U{5b?HMiEGrzZfx?GqTGCrm*C
zWT%9&X%590ew~niwc60rl^5(WyQQ`uU0iQW#XA%j8N#(y(6ibRfZ$Q^|3}0B9}EA#
z273uWwd&NjO1fyKT5rvz$8T#+%}&RsMFGvvrN^<{YeO>EmR#JKtIpPrudP)edV5)j
zw#L=YY%8AF(yBHlYZ^)?2wdoEhSJQ=aRe6n+PFSyZVl=hpt=xHU6w8bfvR5Ls?O9D
zWYdc-BAB91GwQUe^+r@}OhuEmX0shfTjI|4IBrDH;Or#QIz_3o4dnv@77234n1HY7
zcdeOToCS!lXF_>#Z6%7nQ!0=_r-SV7&WsWA0}L8t)<~EWXSZ}=U(yCq0F#rRPu!cx
zI3uK{vL>nkTbX=^NX(kK^o0RxFy?A-&Z-}bTcF&Fzzk0+5-6<a0<g7^GSRMs{Xt<<
z@}zHeHC91N$D@mzjX1hFnwc8g0Do_6fdLzhrsA#D+35}gVmzuhI?+1HIU2RAH^viF
z_0~+aQyWM5mMLJ$CTnex`*~}kwJ(aUK*gwTnU1mY3z-2UNv}YEmJ`)Dz@XI>gGz02
zx;g|zp)g^YGd)-Wk~8hrgG#zL;J9`MMi8Vb-3N)Jp@9C5HS4)-$F}M5_DmJWzrCOc
zSo#~|IaHqnTG`5nfO~dN`{oftG!MX_WyBzpJBPX?N^r!TLFdA4J}&HqTwpBN3(3f%
zU%R<>3qt*>4C>k|$+7|I2N3CKx3|TexHVmeQBskxi2)10lyRn+k`9%I!<;n8(j<JS
z*Apfa7GYrlIQv5f_mAD+rVAT$RaK4=#XkZR?;@@rM9^WQGqVjCysC!NmM$C@4Z|<J
z)lc|ZoyoU)H*a-Cx-c@Tx=XF9_8wv5(*rFQO9HlhCT>iDU7y$iZkYl$cY{`>i?FoO
z(wEeh+@m6RyYbek<~FcsbLk#4JHdH^51pMep!|C_w<L3vp;K*LA9v<>L*P2>9A^W_
zTzXW1SwlOrbDZoAxTnCEM**QP0ADN!eL<zWc8^48;mwjiHyd63p<2Y~>is#HK<>EO
z29h2VElPBktHX%V^e;S3s~)L>a_w6R#ETgy8pwKkD%iE}I)IFI_u!+sPIE;t@+lMw
zyYmh}=dA$4I|U5sVa{=r3uq?ApxMe0EBIx6)pRR43}$8?46Qv$4u(QNqaqwm<xP(D
zH(-?y(Li22DMh7M(cwM8qhNi`%MhjMJzwW1OyP~HqpI{Ii=YZkbf}p^iAhc+{0vR;
zLhV2Tn6Mz-Uz*nDOx&t=nk~gfr3=>yIe=d}0@r#GNEbG9rZssf78x$!4^Xu%T~cq*
zbXXZ5nVF<Hx7B7QFZUB91^LG6^lYpXmmb)jotbI2Iuq?})mG=_vrU|OzYdID(o|{g
zMgtFZxu-b=T(0I6xa%Kv7ToFWam_9huZ2RP>UWpF0lWI~1}s8{DK7N`x813Jn5Osq
z9-}5h8@f|JY^GTKK1TQ%4SJz=AThfo*#vb-Q|-~U$GzQ6u7_lE&=AVz=LXO)qtZ~Q
zWdGo&<YtqSV$EU%cB5JQ8PmI*LM>q#ger+Yby4~cZ;u>G^m8Z_szi(T(52oG9lH|o
z1}vh3DJ~@{H--)S3F}UYkc46-Is}@|g?sEu<VT`}61~9NU9S=q(x55P!siKzgI~I^
zo$sfi3-w{71*=bS#y5ix$-@NM+?B;eS}}xj8g11<ILH}JvH0Tl%sN6hco9;kh~bWv
zz1?Cdz1}9Jidt~DJBg8I6Ey|t%~cF?LmVGwuyg4Uh7n+L1_AduJ$AFC)U=Eo$l8*0
zudTDw(=-{cy#}XeQ?(If+yx7Pq$*kp^79x6C!39qx?Caxl$F{UavVAxRtF*o@!wdV
zf*3JQ5HX%S*@6gnOd(@*Q=+OGNTy6YZY;ybJ=Y@zBY8UkoXiEw2I7F>;&~Y7LcS$$
z<~=26cxY=qo}QX80!AX#3JX<~u4rYJ#EY7tnxRWY6pF86tw_~R5_qU+IJu_`>dBum
zR(%xzVRDEA<+7AhvZXn-Ge;>T@4W?tIEL`99u>=avJ6uu>YaF7zIZ0Pr;#L9u57@f
z-X@HzjA~)z%@6@zD@A%s%vMQ2%4cU_5s)qXLFjrKnrT(1G5+3cT(7hT@os;NEBTvX
zu+qJ8nQkVYtZ%JP&fTF}qvZ8aixDhHzQ%xk9R2}7SEPGH6=QJ0B+WB0XR-^@=ZLPw
z+h%Ijc3rdOiwQO{cJaS-S@?<3gyG95wh`w}|H4TACnDLMRW;-+iiOa`J7%Wqll9Kr
z>#~STZqA(iE7YBQ5B_sU@_qb?$R$63|A<Ic!T?Kt4Bw=QTewN|5`O7DT)d|aqMK}`
zhny(}-g=vbuJwv;T0Rg8<s2!64Jx+DLdZ;FXT!Gkv>J>^4u!nsf!$*?63F6D9on&O
zIv4`29&_U%0{x>-$?4rt@<J%oAE@(UyuK^67s84;?m>WA!e#^OtGekS#~P|zV^oJJ
znrT^)E{=Y1>sw70Tk;(uJP6a=N|vO~EHL_*H7ahEv2lQn`NPSVfL0%$P;Vc_{tPFN
zP}bxz_(#|VHsUDm&<oY5Or#AhFg~ym1y>%?Ng~fkb%uyPmE<X<fmDy^2x(PYF~Gk)
zn3qn46{E*(B*WIx1Culsd#zc(Sn)2S!XQif4kFN<HQb)%mF(S6w-X^;)kqjTn%z#8
zVmG*!nS;fry6Gb4ffwGw!Q$a=T7C!$`7|ROTw}0!1S&3#Z0a2>zTHg+L!jLg!+e~f
z^jq2?@^*jRO}jtp8?bq){b@JYCf8s$9Am?ti*!wQYn$TYaA+-K1Ey$(!!b5k@*U<j
zoRTZ4Clgm$we{lh;gto<Dmgxkvmhhx%jwYcqA|N|OWeX8T|5N_hUsQ=hD|nbvsb4U
z(<H<;I*1@8XP)>|!a+iMVlW4tS}8_^QK-r>pTHy)S~H@f*-6->C>GFGu-`h#XB(9T
z3Ei1QoI7i{!OH8^IZ(F~9U2WJG&y%Dhm1qyE%}ZsAs!OJv`i^b3bWl}rC3vdbWSO}
zRVEKJ|LP&~uiX5@T0h6KV!&W_i@(+nv#cMWtjR~<AKh!KBzG&{(xsR2cqP{*`M1QC
zl<Ce=lF8#6cVHnI-$))*+Rb^8hroy<wp`|%L-56%>5@)&7GU<f%g_%|vEk&d0A_Qx
zU_blJmc1EUBHE_HS)+ZE-6r;YwoLa#_~||@6v!TXbeIS;d^F&dJ+n^nlfe}CV80xc
z_$}I3h?`!0BmsG>IG@m4M7orK_*MLUphzI0BK}z$VOvf8h2BVoSg@OM9X1Q<MJg=#
z0kLw}KZZO0jmSISM8$F~h3Gs<XR^m)48-9U3FYsljV9aEjvEAO6EsBP?s`sZcbk7}
zo6?O}DtoavWV=(N3hgt3J+FZ~eklrCv`OF5n0LePb%wpI#o|M{$x&ZLZp^)827#|m
zZ^CJ_+@d?(tWHfdDG4^}$~;r`$&SdhhWSabS!F-ktWs?>nw{Jhz$FYM;o6Hob=5oq
z_^G-yZdDL#JFBq7a55|lrg!hAduJUCfRh-wb@m3ysj%J2+%Sh_)<Hf|VrARaU#V@c
z?a;JO>|TQn$_mcO30Mu$eygPY5N9XZT*sNNQ~06+3e(!_trWt(UOR<vkrbZUyS#I8
z&o=Rmc<bcZvyFU9d3K=+@^2l4E4&~$Ha=Vmg+Q8uHt%imH(=lRz#Fh^e83b{ca_b1
z`$)TiwuJ+dAH4Sx*^B_&4x?tbRZs_P|7O0dEp=tbx(77r<Un<=Pu%IJ)eb6eAdiS8
z0CJbV0ms^c9}H@y8ywsL?vMM)^x>d;27W<z$YF_XCy#gu^=>=y>q6<hTi^6k(#7Tz
zMxcSGA|b-E!@lI?LTDW<M`qQI3K;rxwr#muNEkT%qi*G%@pjt5{2wz~gRI<t`5Ukc
zB5%MVU6|sqa{CJNwTZl=(q`_!C3@An+RW_-?dxNQ+sqx~r`3)sZy;~x79n7U(LcrC
zf+EG?MxV7)Z0PbxxDDMoemZ?f7>a4%U*{La5{7QVOQ_e-71E&XuPa;}dAXmGE({$b
z(7;m>k-VWR&I=putj=UsGFbt}fbAViUJG;F<PP|c=9nfad<i?nLlMy0lH?6o(HUsq
z*j_R2XVbQ$L%Hz*uD=Pg38$7twA4Lf=bTxEbLis{I~Fv49fq~?6V5G=iH^02<Evv>
zOqtnU$8Fe(bSbYeQ_}1c;PiHbqgg0AJ)<u)z!s#Xd~b}h-zRx5w#%j#&+oF2S&t~3
z^#P+Nx)Fv0?{rLzZG(YxS8Lf3BaP`8HGLmeGo1V}{Nr8GTS5oKCPPnpDJPwhPe9$-
z)|*rucCzfv*<Nim=3d7(;JgJ&(FPonF*2Rv{8`rsqNF|wyZPqd%$u|dh1ZNnsT*0b
zd$3tCc?9yYeVfT!@h985d4|x!^n62mqW0_-7WClT$nZ#iJDOFZNYVB>>`Z`_nYaa!
zm*~c7tByyX<sQv`Rw@0i<f};iaPk%22@x36McsnHd}XkeTO;Q+>YaLZx_(m}DJCx>
zj!6a-<jOGpdxq(^%VL^5jU`rIuqQAiqceGb&b$||r>I**xlvR<Nm|Ly{c9OQMcDqw
zSZG9yNT4*9g_YzBInpcs9XzXeJOuZCiUnsh=HjLcHVEmPbY#qgcU1nZ_j1`%rl-Xs
zt_J3H8;RzeZ|+<S)q#iXSWU!KZE66^5!U`l8Xf5%3T9oI(_!An!mQJ9vIo)T)nT!%
z>VJTZz&r1@s%zAV9CD_~!^07rR;D|B+PI^t-k6-8or<Ha%@!=8SEr)-SUkpbXb8W-
zj`?^xf*;_0OvdeYli$l@?zvK13z;^aY+&u~cMxMw@G=%t4aT0=KR7aJ=wqcILMGM4
zA~af7guGRXMdtq`X>&6O^^31&qJ1eCi4(ra{G)(c`C^qYtHKC$y#RD6Ts*>DWxVIb
z?r-8(;ZC>59O3W?ZkVVwr{MCJvwNroFWO>F>5D>g9FZONtP5S?ATg`FLI+3a;ugHi
zWm`N^Rab(P)grpTg>Fkgt6ZsN>jKLZQklE1e31%31Ji2^Wzz+xQuD?BUnR??f3e%F
z0u|1(GN}1lP_|mJCK!7@Q_I44Ls?OtmaRZ6rZiz^`CmF4-X)>5EfP86a&IRC61MvA
zVSfYmxCw8-5|_gi%|>UvrRX;K3HivACBXimQIjr!s#_c$c*+IX6ZA2ZBP4RhkK0^7
zOE4Pk+M`1Z5Vsvx10QdpYLy7@h*z6)QnQq27jh&2)+Oire*EnH_%5R@D5Cp}zX7}C
z@CGcBgDDQl>2cj^@m_k(21k|nRJbJB*R8zbv=GP$jq4ujC)tiIZy-p!j`26p6(;4h
zD-VY|xO=LfS|1#SPI|@OA(bV9yD#<<>J9GtH3MiU7u=onQ_@9nml0^-sR&Bm#uewq
z;BMwEByUC=fO{E|t;+0`-^k<`I#`%nw|%enc0Oe6(0A@z?u7EH`YWM*U%Zh+#ZN?A
z5y-GhZUR*L8s4T+jw0OY5ruvyU5W>Xr8#pbRChDC)xao!06bbh1;I8JL7?k4`Ic@G
zQ;-3k;*65R$%m1<!^sDOnam@H^VS(9%-_em3z+AlQk6c3rS30-tq4nf8VgA|!O%v2
zzi;`l)C<T-jw&$0Vdn<o?OdL=#CS>orZf=Hg&2r9E+Ax!IZk@KD!}9ZW^mWlkj8tV
zR2I)yVpV?w2^6c!A4J9^&EqjfZsXtp03cjGi@W?|qcXRXgT(P8$3G(C+*wtBsO*vB
zpF-VUgy`^qgeP}+Acu}4+-J$RrV%V7(yF8-3W4!4Tg}Y1D=_$E0oKSCe%|tN%IXgc
zPV!kmrWj05KoM$q@dRoEW{Kj)WD_q|gcu=QFpVo86cB_<V(V+E$Pg4^H|iRBnQ=Bk
zgmShaBEDiaB9Wx<!RlqYY`bO5D<dM}8$oprEyAR}Y0;@hWp1(+E&5#|&Ye}&qGSPN
zb{;OzAHO*bvU?FCEt2r$v?zy;LyIi=E*pSANg+uGQ9J0R*^gqq94X*lPA|PxifHSX
z0<@h+TXEP7jJDp(3`4(;^t=kXuBwh(gb@UOq~~TVR4~db=fZuvP=sSYoV=+FC3N=U
z^#N?-03*ev0QPg3hqHx0CZfCkLhS5CA{=K4pydR{0w6bC!a~#f`HN%;Y&;<gk}Snv
zpM{*sUh>y6_@$n;U;*e}k6T<hS&Jucn3$>0#CX?a-$L%^_Y!i~Y3d>F{&Ls+M{l9h
zzM(!d0WUsu<O14ww58dch65TKtJ7_`KqqdsnyrauV`5t!ZpZ9Q!X4{s26s??U%e^e
z<C&kO>7?=X>%e-q>iWa;Ps+0CXXa6O-h_$HJY+HY^*ytQO&FBGY*bVwFOkK#56G7g
z{In(MJpC8RmlCo5{|^f3QAPJP!N2l1U=O451}w2LOi^V}Iccy6MW6NDnAE_kJxkR4
zzVDD;mwPBuy(#~8de)A*&D0yT83Gb=K^uF#(2ogBd_!+6J>J`GZ@jRO1}$E=n5>kL
zMgEu0f^~jcx`-Gu65Ru%8ZrC<ljCgRY*m3l&FS9$xdNiQmK43~FY$KWvC4KC$xGNO
z+mycnyXNr*ESiTY{nEUfjJp08H19@2(rDPOd45bvXx=-#-S%o;Aq{0U?<0O%y3jmE
zVj0aV&Wo}7%yme<kJi5rvHHinogaLx{t=t-<(D-?tlow|hF$VyKxI&|`eVX;RT;2n
z9HQXy<9w(F1@Q;$&p8Xd{b+j)cE-T%EEq+S9&ekjHKna&?Fg<&ZNSy65O{@0GcYS|
zp>57~m>(?T`hBZU8tmj>QDBCXp9ISdOkQ#0@cedmiH-lv`wVOx{2IW*z4bxHu+NH$
zDA9rcMhZu`akv2dslKcMT$FdKqYAp1v?73s@O&G{ErvO@Nm^8I!*1^BI&6q+42dZ$
z^BnYr0h@QuBb>G*DUCE4J3JUEHI(;H0F`yg;83W}5$wbyZQwV&YkkQ;@xtw1_en-|
zeirjZgE1n{omF+v%Ptz640U@kqHw1KC>QR`;o}H*TJoJ(T8yL+q~*(k0W)dHMiJK%
z!odZ|E1}8*D64-7;kul|tSD7|D_q1iE8-e$(4TfEhK<E=Ul*QZX-CZl>=NgXbPb7^
zM~oRGpQ2fOajs{U6p1jYSpt1hh2JfLUJ(*&3R?*xn2+XH<}gWZDLY36guuqhl4|xU
zqdGU?$U&}VHxqg8tg4zN8zFOvRfXFiyB8x;GYL>m&2soS)Xb7^Ltg|-3P#$W`am5`
zT8q_jvVcQ5b@Wy#Ru1+HsFeq{aj*>xZ2y+B7Vi>}mw$=nJ#jghM4VLdi$J8RAZ{^L
ze1nIvP=Rkydgb7oWhkMQgRh4Jj1-pw*w10Uav;38QY#0-gO>nWRt`1-xxSSHOlK<x
z3zow#S~;L!gIPJapcYTh^liQ1j9%6Ykdhu&37j)8-a~jV)w<t)5o?!iwP%0mdUP1@
z!L3LBF#f@^>~8daL-8(q28j{8-=o5AuhO6RQ>GXqRER-{tmDbCh(RBM5Wg$2w1(al
zLeybb4L|p`Veom-elGT`v}$Y^v>}k0p5!@D+n|CFhr5Ch#8<HP_^=A+3(Z*%;LsL^
z9#(FE`{Up}cX%{q8XuN`1Gt%o*_IK7qHI#Zl54T$;pC;90AX&uV-*DocAw`^g4Kzj
zzDh!^45JsF*O-B@3|ddz`2$OnYzGiLdYnae#)dAL?bx%aYn~Yw`dn+qv>O=H>SdXh
z)UX6Qz?<P<36u2A2fC#UiDLJ}O;||k2k5*dKB6!$Z1=<)%1}Z+(4A1iXK&DJ<4z`0
z9OwgW52%&<K!Qa=DKqP3nfxYv_k=Jd62QC<!~zbU-4mY%8krCD8T>^)5d9jA4|D}>
zqMF!NoteSlR8OZBL0#eP(augduXtWB&X7h@4_?vHuA#ta01qK15o}J8S2QdWU6IeA
zC|{&4pqa+s0GHezlDa$~#z=k@<rA`C`oM0p%K_O|cr10yz>j>T>=5TZMl$m*jjuY0
z-<Md}+#A1}nc<jx533<>OXDWH&WTSLmyAc2Tcn=x5)j12to6)RBwvDh2j%GmiZ^$8
z=Dm=S2k{lor$T3K1mXg%ddxQ(lSInh!<m;*kV^__viCk9S;NUP{0HuH5u-w}t2W<N
zn^0fEyA7!4mv#E)udFNsuJBievCs(DJ;!>E;;)RN?&I~vt(~;Zyb4!MOxEENVi@~K
zNce3PuoE3#j^-w#Tp=kmX}NMBUMG}6fc&IUC=uu<AyR>U(xCyhaz9CkhR}%2_Idmy
zp~aGME<b56F%H}InO*}_GEeEH_=`Lx`ZX9&=^`#4{c@4c?Ab*E0bO!&XReACel3Vk
z?g9(XeGV(Vz7Z4s?wz7GFeJ=Q8ctDD7EJG*k4_N)XLv(PnAiwgBL0+Cf}F@#%WjwV
ze=^9D+pwCv|3hzX(sk{EioM4pe20^L(@A-gmlTgDWTPXq21x?-4$2cM5@z87&0CS8
zQFxkjrqK5}Fz@@w=#({0N<i{)Y-2e2Xs{3<w77R=enb1A4B7!YI1iOURX8{gV4)GN
z+QkkIJbK&i;3BwgcFfO`<M>LhUSK%+S{XXY4f!gR2y{cRKY?z@X98;FZirxDDK|tY
zl!Uh{H{>@!C38c5i@(SXp<jb>LpISBXj@y&Z4*=V_6@x*U$KiP<vmk99eU9z>%lph
zb2=yZ%1G9C`JMtCJszcd<%*sliC`tn?spYNviYtoEwZqj;A7~?P?7#oY8nmn2kqOX
zWAq$Za9(W_G)2O2j`lUvS**zXtYdhTgrdB&l);!BiPaE2*%_UaN=p=z3gt}Ba<vMc
znw`Iq_fLxL3p}@RyYQ*rE;{!6{|*!iJ!x}}zXAJxf8Ky)zdxp^{=Rb3hOPpj-Wpp0
zVPli!nt;tlP3{PbYoRlDMwvAee9Yz=g3)N#zS*Avk~z8NlvgYY<GTqbQMHPo?3#BI
zZuR47@7K+Y)}ULq-r#S*E=jxrizH!+Ly~%ZH{tz8)dq`|)$DN5>f)NMKgogXem>zo
zKgo7*c>{TMvpt{iMSlxjfs%hd!F#SP4~YAst-te=>jT74Q?KMZ1QTXnp$F&w%}c2F
z_>NyWfClaOj&B8)T#h~V(=|#L`=pD*JB&aBPeoGlX0JFe?whd<&iX}LU0*%#7=XI2
zPxnZU@ItJ{Ou{Wo*Q5mxbR$5uZ_*}0b1__X=HO1o*JN)H_(8>YoZH(B_ff=o=F_Qh
zqYM1ufPJ|6D2(--av|QPjmMyHS|hHOig1nu_nNigrkyF67){bMi?}5o=ZrEK)LmgI
z`^mW|_ruA?VDT5xqWRCDvv{9@LHUSLzi&I+R0d!XIJz1OjqquXBXCsywli4MYSCr&
z^1d_M)%DTV`gF{fS<U;I#Ei#31G+J|%j!9SGoY09$WjXu97mQgN%J@j$4Ng+kxgf;
z)0aDq%Jjij9SJ}c#7T-fh&Xpvb<ik#VCnTxw-+HgNg?6MoutU2<2XrS$v5ni3~5AC
zZ#J+lX3g1{V@|i2bs0{Y1$ZL#{3f$$%35#?iA*%R$iEFcq+kV^j`j8LYJXG(LrwIz
z@VKt%A0>q3<~;&EQN`FTPF`^khmSr_z*r9-VUpTX!Qms?ZNocYn}IxSROcpKQJHTN
zdG4&L$|QdRnM)i#`VM6GVniw<0m`XN4j+fgSn~DpWd|u8X&);Ebu_6iR>#j3@G7T{
z-YUg0q<TQDe1|BGgn>&AS5nr#ZE0Ec99>o10*fH<3(OA3LInf2vZZDJ4dD1)Sltp&
z!y$KyM~hWnOG+jcmPFw0iDd|;rJuD>!Z(Y+j&VL<$NJ2Nz1i`vh@N%lMn?N4J4{CM
z;xgS6{I~!Mh4W*-Gxf*u7&i>30t{;|pHAvzFsVJ*x;zoZhHrwn=#^v=jBAVY3Bf>w
zO9_VGLhv;~;i8vX6BH9K$?*J|ARA9STe$xOj0js1d^>cEtq9Vu!K?_rESo}3*SEA_
zYg?Ze1uwF%nBmuey~1+IjuY3zx?r<-T~Hv<fU9NcEgHJl&fbAtv*dRV$bjlDxiv=w
zT=)j@kI90&(caxc%*JxknA;Myza<M>__L(wR`EfJN%^(E4A10qSdFpvw@iu*v)I{9
zUq(trS>0NMg~WKv{?G~jTQ9+mmAtP(q0p7QANU)vN5pvpmM}M_sM4zRHJke82Q$k`
z-mi?B+;XoDVCs>@URUz|onSQDwa5J#AnsvB4QW4atJV_!#*ns6=H^F8dw*RH3>1~_
zhI4NhgtUQbpED{fEDvehxRc31@<CwqphDVff`>A3UDmuG1ZWfEhq+ZK3~Zl%p*ygh
z3wPht#3v>x49*<@8RPD`9%;{$b5SQC+#ReMF!!O&k-N_!knV<W;@nxh+q)*>T?S(@
zQM(!ojqt(U5%E?g&d1`|ojp%Lf5FB{Q@EHU8R5CYaepSb1KNxWN?GIA(~#hZUt^Ls
zVjH7#srdEnMrCfZkMnwd6VR)PICoZcgeV)oel67PMTmlN5}sTzE{BdI7-z|Mm|G&G
zO-MbNz*LyEW`m0>c3m&PQVFM^xQEV~DQn-tTAzpNRFQMD9?9ilt<PbhaP73kr}!ix
zAMncfVJkMAJXMBZie5ZHi1|Cl!&=y}KJ!5fVHJn9o+;Bk!H=I{p>TfW!c|0;VQY%R
zT8j<{6&=-TB<})Z!$bH5VJ)ajGqPkt764&B*O86o!^wX^>4JPBtc3`d5)7|-NJLl*
zYE_lbUx?pKAlxp=a7$Q=F!qGCFr9_9o)1{DuonFqOjxT*Q3AZRbz-u)ZKm0X8=ZEa
zBU_i+14AVuTLyjI2e+<1ap8gm-bsPcR7JfY1rD`CG!9Nn;=+529ng<k?J?>Je8xA`
z;f(8;h)rLrT&^<8USD@rK`tX*s!OFW!k5}d^;=9`MV+myceebm2k0&hHc4Xo$OCj2
z%7W=byUk(6Ko8##rd*8fAe;7yK$ksH4#Kq5G9ke!AF0cLO<so87?HY1pCyt{a8{Hp
z;pg_NW4z|<+`)3SX2C}Nqt3orFZ&#E%a=o;(75Gm{0-RSmb?K=+!9mNQBjFoj(2Yw
z8B%#Cr<W>qobNK|c6*$vKje>+_Cj6o?$NgquMKkT!BxgJx1XX0SGQ5MicXwFLyv2O
zu?<c+;a^Nu2&w0P>1=qw&jx$HKFw$iIwtXDe*<=L=M7lI9a9|Qew<z0ok*G6cff})
zQ-zM>_YArW`RFQaT!xxp@%?+^ok5<D&0UJ``Py~wE-?;rlyY*tk5;#kZ{w@ZpFI!M
z<t7M#{~@fx9+KJL-+*1tc>@+X#}tR0pJtcya40Q;-&37B(#QIN=t>iMA}?4qjsnVa
zGhDlBFvgWpjpDqxY-V!+=f$$wr32vl;FrxVv~gUKP%-b}%Vsw2WPDA|0i7Mxve{^v
z8M0hCdlt;jXbI*#ZVd|;&rbF%o>ikd+_2h?>6VBrvLYAEx+*JeU$PxFU^tl#Rs<GU
z8+kTNp@~T?-t%3uPWA_7U>1?z*J7a&KDBnNla)UivPqp{vWr9~3L;Omjh^Re!edVG
z&Nql9ya0}CaB6kT_0eC%(PytbNUndBQb`es4+LYSE;u!zlol-(JLKOB363Q>Owzm-
zV+N@&$*p#}EJ~10cz0o$^^SkmAjfd}6hn{8HGEO;KI)!3t2!MmyQud7)a}KXBJvX8
z+@f9%U&o@JCEw~Gag+F^Vfn$}nQdhQqHC$|Jp~9OGx#x;KcuYwV=5bHmJ2WB!1m(_
z`klpVNzqt3DA{Z~rq|H;jtLY$ad6P4XaUpbp96iWz`Mo9%XXn!&ro-*hfgp`ZOL@v
zb=5k^28K{2d!l4L*^Ipo(wlR4Oi`W1P$=g>D_W+iPVyvlD12or8G^dK7?SEp0CTF7
z!_T2QmVB#&1W4kShUEv<G21Fuou80^_?b~cbzY`Tq&;Jov2L+8dwb9vywsdFr7~ve
zeE2fHN-Rkh&j^-9uYd?8dm%}wRmm_ZT*;1hj$b(tptZo<de^Ts2=a5Dk6@Qk2i;kF
zQNydCZZFEDh7#hO8s-posG%j_(asS}gIfZa1{MHCG+QfH#8V3}&W&N-D#h8ZcLu08
z-+Y0-Y~ULE?@`viZG!p3QZmUm!Mqa-6}aBY7PS?)3I`|n&$JyWT9LYvGv2#$0JA?{
zhJM-;^N|2%bGBeV`^=V-dt$y^rh8&$^e7ezXHTE@#QbA0sXdr1|DKp8=!Q1SA^Y_m
z;-cGvf_9T&{9SQAu_p!*E+rU#gTeR2h&gwuqh2DKA{lPk6Z0hC;(M_S)7hSw0}h5?
zbonFw8qA)U3%QSvBQ6XBw#^=N?<a2ka74<`Wf8A*tnZ<oF(Re={VwT<gFsO+or%|O
zTU6fQ;Qo^GMcO>_m5v8)s2+@4hDB_X@98*J7EJ$Qx7pJ{4ptFk1#ZR_ivhE@aoOkc
zTQxGgl2fr7Y+Zj#rOfgjXX~hIoy<C&(>Z^xw=?Pu98S(>J;{tuawOC{sHk><DxjH#
zN6Y4|KvGzAHRnrV>^jnJuSU@q!3nlcO$MrqGfK%wrm*$lWJ|Dcu%T_9V?L2#p1-81
zZ;tTxGN1}itAm9`xTZN`(267c+*aI~#aEp%GRy`+eDJy2n3Sh4eOaU+q`q7rAa|7M
z3;8~`LkVB72WLRsDaJkr`aUlYsFnLZg2|<PAEAws1$p0x1$DhIaC{1=WZuu8<1g}l
z=+|JppDQe3nm%|zJ-t<?k<^1X<b2G@XrL#r=yBjuS6<O$vfyrX3Ng$pGVn9JBO~Az
z5{CPZ#G<^nl;N0s8>`8COQX~)9^%n<Y^%|o=;rJ_Ux=xVF@MRr+-55#%^~^9|LpCM
z$78bfM)8=w0QC;aV+vFk;W_O-2Qa%6TJoU2$obTb2c>C&&x0~DN=Zo;uOJU<PyFXu
z{Q{bX0PKq=>=*EETNm~F=1Cn|23+Au9gKxWxIHQMq>fZQDXp(?f?D^eLb6H$Nkejj
zhqb0mAIZZy21*2aScpZShjl<et=z*B%rE6(32l|E>B_^p9H?X-))n}RJS_S(7!T`W
z*mQyS_4RtpO1>v@7TUWmeY7!7Ob=ew-L4pu=qHjl9&LdCu5Y!fJ4d4})y`yXqFuiU
zZV#$AI?=l5<mbU@Ck9LQx(I@VuV+DlW^;NoWV;v+sEtN(tJQ2xG#eA!>TP(*da^c7
z86bUQb-E21Zj4)7nr)~Y%faU>TC*`b0R=U(g~D3)l<HCm0XzCC|CVY;BltFu4YyJD
zKc8BcWz$dXHUTe+^Qc3mJh;X$y31sP9J=fUkK1<(j&eq3R|xHAki|1(2Xq!;2KoyA
z9Q#A(@$X4K+1yUYft*{RQ0Rf2xA+^d@7(4MSaxn>iYk-Jft+O<guby38@r<b040Zx
z!iSAo-Em!Ysl<O=MrkZ~kM#QqSfh3O9%%+q<`<jWfz;D4H&eCB=@;0elD9`W;Tg(u
z2@z61=@5R!523vik21o7j=DVUZ{Ysw+ZHc?v##(zb#8&K`rY6k@RlqRg((h++7nE*
zOO_~2hu|5bCWDWTtvY@wqGp2S=f{Mn(XJPI2O!{(hCWHL{16>Kz4hdJ;7QfsNb*wn
zSjZHhL3@&7kCUG##1Mb#*st_c(ZzEVOk%oJuww&<_MFb`XA~4Y&VARr|9o%v9cKJw
zC=_bO&-OQ9H{-kki;Q84L+SQ2oFEQS-kRHPecoi$s|%wlhT(?1<hwIh<xq7$#MAJT
zYe$tgkO#zaTi(t72D&pz;GoV0o1`2ZdyL8_?eM2A$8Yr0TN02(=nWe!{E@$ft`K4E
zbPvfw_sc||@RREU#4ug<VZg7VC5C~=yo7p(fkGOzVW9A3qHp^t>0&5g1R8iMlH&EX
zRuxR%aznuWxdLJku%zhf^K)<49mBvgP$+a5Sa_&zw+;Jh7f0TJWf;H|$1uQjiX!KE
zOJ`H;L;R#E>?&dU$$$ha_JKe`E~I4FJ3l5R^zIaIx4n8-NQ0(#iz(C~M3Mici{C~+
zEnR3HBe6@(JIEFl$*J2?o=fyh{;l_I!rM28YHcEc2s`4u&EJ4swRi&-)xwm1sn%<Z
zx(uz~6{__rLegm1u3COfN~qSKc)RUYtwI_!)mnt%Iw61T4_){^<)@?z#bN}OQLN&;
zc*Hu3`z5cy=`bxtZiT1b*4#FC%Uq?l7@|-jBxxS9p%4`&>Yabe+xcDM(|^?_eTvwN
zJzxAJvkim{zGMo38Pp2qs)Eq8IK0fcL#t3*dE5e2<4p>uAO?)v0+j7Cr(enf)@<ig
z8{dPkH)du#?2$N(u1?Vju-s**#ulrd>yZMI{09ohaPo^_84)|M=4Vuz`1Ld1S>RWG
z|5d*qi5oghA4d!mtSA9)N#f@bmSUk1A!FbZB@gBVtNc;mi!qoTRjzE*n~hB~Q)3wK
z-PnTLc3~xDYV7j3Rgc@FQDbJTF;&H7m(6rOkqW`_#4U987mW`{=`39Q$2<Z3^lxFj
z{ODjf)N?%l1{~A&!Hd&UM?iIs)4rIb4d8|wtRG2SOsI%4g#RVggqCy0jSBso<fomU
zPXxNNs=jpD^SUpDy1gjTX#ob2*4t$1o`4NoyIQ!(7%ndFrkk7(UWk{gA}5g6Kk9%_
zc0<W^B>+z@fy^aNdB%{vE5K84(B>80^fLtUWm2sL+{zan>$DphUI&G8^EJhyslr_r
z>o*Jr>-Trl&k(GKGP^0jRzK-z-`foppBf<A_jQYQa*bk2HXEkotKD>ygAG%%HAZ!q
zqFHpu=}b$$!`!2o<V@<x1TK<UYvz!eONY!w8ctRgFboHLejIw3viffl7|oUwqYA97
z(dbOyBHS2(-XvfAfbpGV(6}96U3}!$U;QM3pwaF(2H5T)%xe+FK>bVVAk0wqh$;qK
zF-c>qcNEFi6yc>;Twm15-tW13Wp1(&eLhGpheCt0WBWthUW90nmhj|+K8KD&=q>pU
zbqa^XEOqArkvHos7WtnOoBg1d5c!?PYF<>?0RE@4!-sT0zW6#*MQ^qP$L#Rje|37g
zxjotnH`wr6@Cuvi5PGnqQGF~PgIBj<PgT3t+zwY+H@4QNVmP<ZUPpU>Z2FU1L*z=7
z`!3-nO*$u7B)xJXH0dl7R;wmqQn)59LM+8t#s1I<zt*VE&sMHW*ARK`tiAXIFN3<h
z7?Cb9fWjT#PB-1;T=1JJT<GI6Vp&`Ky>8mQZGiCpez)-Y-P?C})6Woml_d_?oMl<7
z{IhOa{^$S^zNcG+y>8YQyXhte*y3hkie^O|BaS8C6$3HF(ki8csUJo<voFOX-5CX9
zQqsA*F1Kh2S4P3=I}LDkc>V|?+<YHvn|6f9)hYD&wpa1^U9%C%v2RH1ag8x!G*h36
zr|S(C9yc69%X%m`SC$mX1sc?TW(bMf;Cl_W7}Wli(6kO}n52oL*X9=5gr&oJb#B5H
z2XPS;8kB>$4C?k`M1z_HDCZ#N@NuZCCEtd=2$mF#v_JKMI-0Z=tK*ORtBz;#MNLHs
zH%?ctN4Ihc9n5W@QPK8V4Ch|yg2b5??n;Mq8l73t##Yp5@?GP4cvP;9ay65GOAJZ5
zP7jt*uiyyfI*p{)s$7`VN9DT0s4hskUQFb<v-aXKz69#_VnoU%0m>;?4j+edS@NA&
zT41CQq~*(k(wH<9E6ocEkk5@_-YUg4QHKW10r}BuT;~Wp7_^A8_U%m9yGltaUzT|X
z7AjblQI`Am&cZQmF%QtbWenFo11~>ThCDis_2B?sa@4UKeMY_HEl^)7(><{$_SaY_
z9DQYaYj_M`32oEee+VY32aCj8F1AVECMLP9BIqXZ{aeNP#6<@PU@5-))tw*16RWAE
zj^T+VbIH&AF+8?l;Cc8A7jM`hy!{V{UvvnMehuaj-sPap`~Wx%@D&UwcX@(Nz3b`R
z9_qo<R+6F~j^nNN?0Hb?@9B<%<A6n~qu~~8u@{8j{B(>gnBKqJ9E3xrO%&ezq_fAk
z;y}L=oBM<MM>#x@Q+TQb!gkWkf0{4@F?j)2lfU5Lc<K`8wsygRB4ft=25UX{8(2!|
z-8skG9d%cdQy{XwWQHm^0_q*q=AbY|LCcKyLd|n=rL8hYaV`~ZZCaJT9!eE|dAC7f
zJ}D*1B(^=ARD%VD4T;YV;9r&jpWma@H!t|cGS~_~tc`_6xbhX>Y;c5jvw><C%!>^I
za!Tn)12Ti~ytYgS$)EZ?DB%nB;GBs2(FjDKKQ$9jEBB`a=S%rhLQf@M^8Qr7#ZjLG
zDw#+1Df~qq75y5FM|Ev0hA<0Ui%%oz#J1|p42(Q|bFE(7i)&>itp^`#t;@%9G}M!`
z^%dY=SI*X>vS9kiJae`jI2vBp!H#TfFPtM)8XfY(zAZ5-?}ughCQoBEc|T0q-Mu1R
z0uC0g(dq>J$V-67bF#Ircuo&Py@T?cN{YX5p`I;5NWRn~oNtA`)X|zRRc}niJ23D}
zRx*M;3e72W&_zTkFt?PUWYGxuReRt+rLK&6R&nEhGHwje!8)W2$il%o2n&sH3sLM~
zjiQZ!Enn5vPTK8KZMU0~^=b#lQW73m2o&NY<B;VFN#RM$l>-l~QU(F?z>bCzfgTtl
z73hKOA5bgzz=UX&^1y_4OU8BOfn5evG7s!>{6!uZ{Thr1c6qycV?5DmPE6I?H}vgx
zsh(n5Dn&i`TjMT&ORc{$Rd3ByJ8&Bm?9_pk_7`Q>H&&GEo|da+gxS?UN(CVoVH$Yn
zHm&|pO-+_f@7rx$u;PoKbco37%5HyJuHwu9%<f>yCsve8iI(!B0(SYgj`(XNYBs0L
zak}(XP$=}^_M80;*iV=81}vvbF-4USrN^{WjN*a$WedwLvJV+GxdW@}szt%2Ii+r>
zcpt%Nv}-?F$^glHPIKq9dJ(`YY}G1<3q)Q#HJK?*aueb~ezksT5-);dLX?M<U5TJe
z)Yp2(we~b2-l?{(k2`ZIYb5wA{NrKWPxz5Z8v+^5$t2V^DBs>071eA4cj-BQ$RUn7
z#Dxy=iI>ALl|K{-P7U5W-kymk>s#w^Ds8$s32slbA${ZW1*H%qzeMVWlYi$#3TMEO
zb44IU_;DVaZDPy+%h;0ljQf2&a@k7V5PIPi4)PK#G$KR^Y`Eokq_PfwG9N>t3LECv
zN<l%t7^O5PTTFtC?Q(ML5xaN9*d&F9M*o$;T~b$pp8?dZM;xCE)j5thVv;tB7^Y3z
z1D$3A3!I!l3$K%XvQe3z6MVP#iA0<`t2*YCJ>K{`P`4K$+Pfp+$?e_Aq2t)QW65`<
zup}M<k?5r%xxtc{?PTWJ90r*s8BPu<Ko|0fSTw3c;7n*w%G$Rzga%Zn3ZYvVkX*i#
z<_0VjuED-Li}=6_0KcjXB{bE%nV|4f%!B<%aVdbk>`nMoQ`lNDy7&vd5e|VvKgGBy
z0nAS|lXHPw-wRoo&L)~4!Cy4dq+f%XXucR;kY-{2cHgF%8+(cGXY}+i$voXT$;^67
zQM>kdG+l3ZVEr6pHSU?_kV+PdNvofv$)R!PVPKqF@%*#Q2W8px-uX1kl(@nT@F4ZI
zY>s)L1!!}s>CB_fIG3=B#Dr7)sbl}N#IMAB^BYhobiVmd{s!#xP2PZIzKJQStSIx%
zy%ou%PFHOA%3vnLVfZhjPPZ9Vy#W8ra}l)@JW2XBL)6k?Owl^5+>v{;;O)YjjV>Lu
zN-t$}$&R|82w=G3mErb7%d*Zf{<f8gMhQ5nosw`GV~~9&&qU40s?aEA=kI{=>M7!q
zfu$uc&g3)0lza_Y*oT??B|QV%+f4ofXx|sl7W<p{Ox}h-hI8^6KxI%f`6G+RGkO0J
z;|@(2@8`N!IFDa_dEB9?7BjK5T7ffo9LU9Ma&qn-mRXwRWER;xoV0_vE#~X<b^s*s
zXLx@B{K3!G?<fPV@bz!ULL*$Ai<h&`;=)m(aS68Ca+hgs)QGo>o3r3xTU@8ZH)1`M
zIaoY98^`psH)0^?lXvl_6d>}c{wTPE>ddqOrL1%JyCA_acgG}cfHFo2eeTZ2MNT^V
zLnr)GMs;p$i?c93d%uUsb7xftnzFO^zks^E7}4yV0c7+Q4^W9AdJ+Ah_w_5?^p&&1
zk1`FH0%gk>{rBCp{B#MFlSd(Qi5rRj0kVgp41Py0Mv{|4M~uXh@3<1`DEXI`DFxQt
zY&RPST``ll7oe@gOwcd|PU&AwS^E|<SrO^V?^Z!2W^y1F3b&(SF_UA<P(m@2)lkCc
z&L{vQ#iaoDvRA}R#E4faW+HqP37{orLb~TUaDwS9X7Xa_7>k+EuffDjF2!H~J*wKb
zkjdG-hD>^WUHn>~hspX%|1I;<v^$)#Od=?T6XlDvNi^^$UOn&!Q?|;oyU|<F0ZaBm
zymGOWlS=b|;hQb$cUglPhY5Hg{Wb}Fi73o1P$)DC^G1II_ILnqz!H?e6wT+$9-2DN
zu9?I|;s!mnby0IFo@Q7ZjtmU$WvbAH{{seH?%_!F2>p?qGSmbIDBcT%=Efd-fP!(s
zJ)o!oik-G<9RZ3=*^?azTOR@xPhdSkJ274G_ZFb|a#;7pRs$OX8O})+Y8zC5;)ufG
zL&hf<b7+b@$?+|WPaGxU6Qpte@I+8vsb<N)BMrmJ&p0W<cX4YPxKZG4?M^S<mm5(C
z`DZfZ2OpeRdPJxiDNgkwEHuJZxi~nnfk{TiW|!%z9+nQ<3TE4IK?sB>AW~t5xX6GT
zdkX?ayTgO~r_Km}3M{b3CJu$_9I**ZQVo(B!Pe*N@E9JP;h~P3gVc)Do+$N#e6N#?
z=DbQFVi#jXzB{XGD$B+$PKLU@7*gy)0+^ds=kRmPsxA3e2MLhGFAd8Nmd9)>v)Hbg
z^uYxPD-%7`qQHsXLdx2=ne;SNr;4guAQYvqW1(=R51UEfQic+mN#8_J_$lVQ50K(g
z0DIXhX41kui_yqmi0?iSqp1YYGLzm2<ob3WU^<&ge+Ylk?gRQYn3*)~KA;QIcB9<~
zjGi8LAH2Zl4DsHwf7mfH_dJ>Q7zlclZ3q05v^Hd|KMx#pYn*?k{D3Sw@3tKXc#Lfa
z%T<KUS#Um4o!~AJRWiiIpE}y#l8BX<;(i?pg-&t*ufGBN6qh$(nc`xKDjmv31LbIA
ze)4Kt5&x}Gm)laRgS~%R%GwE@aQ+7&X*6t~a57BXCRCkpK547gG2zT~CV2t@>BEF`
z^^rQ0jQ%NvxPa|#!WlvPxoN!8s<9$&Lm<OBxerho)P&Q!BF^;}XKHZY2j>pWdp?7V
zf*F0`jPsQBbV)T#7U&v5h*xG8dD8np;`+{Lvbhc3T!|Z<wp=0auCTN($@wS-!^ye9
z(tth1Iq7^`F&Bn*B{Ao0-e0hg%hLU(;;r>Y9ZwBR(B7lB&WV?{V6;QayevJ)$TLyz
z#M|bwjOi;j0B7*BRh;Q<Z6ZtY@FiS5zOC9BA7af%>)3tcLlOK>y&Gj6E;Lrg#>Uo+
zQX0(w%#Sn8c1PaDlqC+WVUtOqauHrjsZurKrHYMJE7F2onY3(W(lS*>T9Pf8dn9=Y
z{<HFer66rDgP(-_P==~PH3PkpTn*WDMkJe+Pw6EFs4hTrU^;;0bMi^GjeYet1Y+jr
z45C}1G<5Nm_)kzg59cI0L`$IjO;8>zM_ZwV%i<XVlJtzebQq$>mWqCG>jyy;73A0l
z3v!r{ZJ|rv%=-VvGW|z`BIIK+bUvldyGJC1ti{@4IAtS&Wg?qgi&<p@i0<})2CiZa
zbSSHGk_2Y@e0P94=TAP#vfqRMgz{bO_g+92Ys=pm-fyNt{;YbxQSq*!&iH}l{T3Ed
z0*6~|GufMli*H-(%*+k(&e0pI)3b2Ie5P85cNg%vg}6FdllM+%16Q<d7PdfxMVzcL
zlgM9cs8u^ryaTsKGYeX8Wo5F#Zr3)N>GV^Kw@-G<+hqW~z;l=E(fVN-O2r<n?_nY7
z!l3oZKRB03z}4?wxL^S{j&O#WcC@dh(T!h20MBW3sxYj=AXtq+Mo28G(e?Ek<LpNA
zA?eaY)y7m*@4)LE{OSTY%STd0Z`x#!dcgY~?b*rN_&nRO&X5{E>6G!Pa`t7HU2@q8
zC$EXFY{Wa@;37VzhnF+}UUYJid;y1TXRknJga7D|#U!I2!JPtQ{~IGi7%=;E^H;&b
zqsB+if>PEP^S?s^m=4>kKbWK%OMi@6nLFBdPw#V-UY+00@%?W@P{=nAQD;A8W61kK
z-Cm3+hAaV6#}f*(<nVFCkaPJmJDs2~?HY{~Qnf3a%xv_D$o%1Ctc(n(<L`1PEN~>>
zbnh*20Pu#1m(Mmkan3o->|naFkLn6q;;N4PFID@!4w>qaoyCw@-z_rx0x~ax!aglQ
zkL-o49RXrcKp8kNocuqs5PogtF>oBC0%PFcrL28hWJt=uCx+DPu~6`kDo!!7SRh+*
zkOD3ehm%*7p@ab50VRsK#{ou)O9AY6LHQ9!;rs;2M8X#tL;ytsXjx=963F!}GGIDe
zWcUF7qD2P!HJC+)t8ufLHX!$H+ulX?%|ZCJ_!i<ESv@Q{ywbbmpoS>ue(VVuv2g9@
zqb}HP9aigdFI?<z=^WD_ONvw{8ebm-nNa-?-30lUF+MBHrVq?FUsMG)xAE@+l^@Mk
zPh4XzLAE8Z?{%wdDf{Y#3wOl)tc$=mBpXYttvm&Vz(-Jy6ON147LI4J5R$PU`WvvX
zt?&jcYb%(dimbA>avJs@^k{2+I&O{82^zRrbxcJC?+iQ>c4};ZoR{iSfGU$;lIf{V
z9qC^il<Uf-URkNS-2RoEp2!Pc0Qv>7+o0FJ0K^#Q9uw6Cps(7h&98ve@JM84ZIZ_k
z$383o9l2VUB%^-{AufLOwg9ve+V?pn#sZKHfeh#5UO;6~3qWgvM?AUnkTHpt8ty}W
zg{%XecsV~Ai5eSeUIfKX%q?Vc4XAuUshP>SC<VjG#$aI(>p$~-&?DZQ#k;*rf^wV6
zU@T@3S7V_OuJpxw6DL$_4`Eo%1#?<|+O;VCG`jBwL=hrwC~}%0(lBRiTQmn)9vwG7
zOPQl#aV8iHHGr}nN?C(U(~#f@GGUT7Vj82IzLD{06+kCoVzdv;t#|!)gCMuz#aT5E
zQ@xrx=+3Iz=(1s|*FxQ1lqpOlA<l)VatJ%ZRF-^4he@3TFbymKCe3Uu8!RkqL^MsV
z7hsI+;L~JO%fM;!m6Ww_afr`Db*ebKMFPp?S1o-G3x!*eu+5H7m7#<HeuALzQ_KNI
zic10PWv|%mDC~WyID{C$C4iPV#Jhl8UmOC{SsdcG_>1BY^lLD2h^uH$th}?)w=l$o
zXdfMu3_0cS`b!E`JwzdH4sAml0lS#aD&)Fj5YI9376U{+L7Fle1`j&gr_KHd#B*fX
z-RPO2umd9M;#MvIalSeP_r@{ChAjTj@2YzaKO8T4SR(vzEEEb2Kb-1sz#e|!4Oqet
zn4*q8O88;iV;T4;ulZAoVlg%uei^KV^irj+XO|dsyT>5ak@5#0dZ8{j_HY65+91~+
zdth91kArIL;V4_R%9LN^#n?k;XObfk#y-RzcJ$1S-eM1(u<nb~jy41`oRhtwwn4=n
zDxu??3_UO&(e!p74l_(|-?WFhm#(6$VV<Ce9u(E|M;=O-lUkX)2WcBl-pxrA9+@HO
zib#sU!|wB>URPrsG3Ks}G4Ibarg*L}bgA4BBRmcDlSG+(j8B$<Sj-si#zG@p;fv!A
zoAoi<6L(N#%O7@7GEyJ=5q0?MU?|l2@H?QCHR|v%BsiiDn4}Gq#^|O;9agLG`A5kW
zX;@}m2EJpE<5e>ebND;zo;#~LRF;i7d>88WVoWgy32-jvki*vzbFk!F?Tk67A}8@n
z!}5bIGuz6B2v@}6p#p@JhyyBQ;Dq>Nl(pE3EQL3wW?K#U9+3Q7_MPm<ieq$9b_;|O
zaX1hQh1-v?h{LgED4~eMYAE4bWKaM`ic10PWv_@h2um-<H-90%^FfT;5<pAD;opGC
zzK8>+^NWh0WBj5b{N;@}1d(^>Vj&R83HTEoLcL&xnS;fX)3BR!E>;)!k|j_ic^Oi&
z6n{-f>gbnAU2VBQt~Mq%zJpZaYUQe1<|?%#;Kxz$|B9oKE`^<xt$N&^+YA{tr5i5q
zv}Pwk(&MQO5WKjsx+R7M(x^hj;eKP!#6^TO*36}+24owvHl>F-phwF7@Y;2HuPU`z
zd`Pdc)|Ne3bjb|u?3>;M7x{07qb2yf$tb*QP@S4+QW9J_E%V?mHIYf|4UK>Svb7})
z58+RUKXqHM1GuG<@3sYE`Hnx~-H`>;kMB0yC1}(YEOzk@rMq^6go#Gqq5zlxF)XtV
z@oObgwva%jw!OAPQz$W2OJD@bP)>dyt0CHNm9!sh6(~WhBUPvFZ3Wb&wbxszdzFj2
z?Dp<6<qJ_#Xv+#Va};Y?z-Po;C(oYUz!dnp$H%-NI9{6i5EKfH+I+^}fIVu%8?Z!e
zFh$i`C2F&ehBXJo@KqravzN$b>~49|sM&1~RA<p2SIOE^qa?NOrhCoo9A_iS#W)#!
z6h!JPIZ!tVabCE|p!ElSTJ50n2J(nlUQhWqe*@|ewX79yooa4_^AU4?FsPYsaDXw9
z?Sfml*}!4XV|8gTc;>@FALadm?vO)>MQnnTBhn@<Tqg-#XAnB<B{aDns;R02KRR<S
zg^wT?eq8_>W>gw{-Y2=hYyFhmY*LaQ*q)u4X|_5O?QPXohxU-S=U#^dHdO)*JQWEM
zRvqt7e;*U_%&Hv~FvfFL&TQLqwUEGE|EQb#jowZ>n13b|3bk@q_#3bbB5%MVU6|sq
za{CJNwTavyj!j;vGt;9(kr-7QDx>giFlKIR4pq0AyTwnd9aY{y9ueD}40rll=n9Se
zoeXw^pGU%N=-%U}(}#qinD&6XUldCiy1(=i>NRwQG?X)RkNGL-!q71S4LlVQ$s4-j
zytpc1b9J+lNfT^lUt{vMCCM8gRGYj5jWNINf%(`J(S11|`wK(u=ivTZn3yq7X8bz)
ztg<k)d>yx8E7GOB!ff!&J^@ZYH8`4W@=ed^3k}Kpmt@0v@+)kPIUdjNvTIpKXzcxs
z(E;7|R+4+5c@}N}|8T7(;((*>`ydm5@k^-77Y<67kY6@Ampp*ADqdQ$r~)6BLUL#4
zOgxwJ(1z`r_U+YHWA1gy_fcB@85(4vW0afZVXU=lTu|&Dg{wE_+XR{v1m(~S6B*7M
zMC?YA6@W8b6R{Au^)H<B;7^<({l#-p+&3t3oc8P%7P-jY0L3%HGUh`!FhZCIuEuCo
zr{PR-t6tqQ9n0Ob{i{&=49P0&#Bef#|0uy8U34wIpP#I?@@eEeyiuh(UB4-gRCW=s
zB=`lnGDOE1qN8OIO^(MBD=*knlPAkFDaGM(b%l+aIQ5gHm8{koWe63EZtJkn2oK#j
z7TuCBSQZQ)%Y9QcW|esQbnRNWprKR4{k>?K#cMlkB+(Cw2L?hm1@}^2>(PxOn&+<p
z{lK8BpgK@?$5IZas@eqk4zl(~a>9|$TT<)FJO?wHj7Ap^sa`>}c{MnBly&39lr`}(
z<r;N176E6PJeV87Q_-{A@Qx?sQ@t@cJv)UL3biP(8`a0+v50hN2*0tLLg9y8(_*VR
z#$u^H&EvwWf0Uq+_}*?{?e2FFV{aowT#Ut3l^Kxly#B!<JJ!!iK_E=3i$&;_gn}DN
z)C5h0yj3O-GikdxpjN)A7VS&H7@T~V)jA$fD?i*T%zw`dH5XT>rr255(Cw<$cy_cc
z?$nx7uw-+V-2=t1*_l~u9b=Ldeep*6B(k&D3C{%d2K-)i{pPZQsw=egFpj>;C_F*E
zEuN^VD>m?1F4#nCUqs70-0ROm`pXnTncJ;=k)lsJ{S9ELs%E+%`uCbXCCkpM=PeX)
zXelIHY*-VFJ%>Dtz71tXd0G}^TTE&68Lb`rOJ~DRB$T%G9Y<L0N2HEnCr*FkZ@?b*
z;0;*9YM7#mjk0)<y(XRy99iPy&sn3_qzj<x4y!Y-lJRkxaw$s%a>9<w1<Qeg-2BfT
z++l#YEwCE5_&<z0nTU*dwK*p>OL=x7H}Y>?a!&T+XYa=e)a5YAS?_PaE;+mbi{xO6
zLvngtcDl-_xgV00#eUW07Oyy6p2OB1mQDO5+p*;h1Zmd}e*;R$ZBW{khr=D4z0*&v
z4-P{oy<+c>$`Y~J_jw8R#%BGRQF;;TUOy#W#AX?R2A+zb<ZWDWUX0CV-a_(296fOC
zO}2t#DSRbynGJd@dEqv0z9Hx3Z@rxl89R!1jN`o2HFA6n+Ru#~d8ovWaT@{|cFE&_
zN?)VXG|EwcI$c%Zb;^z6j5QQ#dxDSgh0*J1{nS*%BL_G?b)HEt&M3#W<TuFM;pA7r
zEM{}^`SmW2>WUKPzu?^k%m=>*e4pd=q1ZiO;v|%x8XdwyBV2|17LIxWImJ;0rZ=<!
zTs|QhZHZy)a|A%eQ#RRRZj&CT3h=ip!ChBF89xW^WPy7Gg~zB?Lv<9R+9RqMD;1ce
z`8$Sb)AxL5&hv`Y;w-N-D)V!UpAsJ@;@nx)k-zMY?bD%dFG92-N5Yfav7JN55$3bx
zTN5rL(yF8-3W4!4Tg{BMD<F780oF=1XC-Cz2Lvbi93WE+rYB%zYt<XsO}m&Sl8;^E
zm7zQEmIew0&Q5pgYpKW(6lsGdO`CaH)ZGXT%DD!Q3d+AFk~IF_2whNR+bv^W84+64
zB1B+{oYx{uQd=?|gi=~`r%{=kY-AVLqC1E<cUD!4lFJ~oZ55D~36n*z+lR7uAgmjA
z=91S#b}vGtMG~Hz7Uj@!Xptq~Wdjf>DJ1D2Y6rbE`%$cy%>wS_^wL|Uh_Vg`)XJl*
zIBW(+S(j4Q;-x2fGD9e-IJqJ5CnbFfs#8_REy4%_ALXCGLItC|vYO=ED<|Cg;p7Kp
zD53S0e<UdU6mx));!*(nIn2Y@!XFcnU4J2dQbRb-62SaX2xcKXPfA|~-C<`TmLCtl
z=xzx5WuAp#!RHYcHthO1#O0H<81A(dkBU^*u)}&qTiUI&iY(NAZug;fot_@z?M*9<
zV|x9S_6_wJ{f^G@XiKv>4F@PTR;Sx=f+B9Unym?V3}jm!wr|2!^?C;PH4yviO^I-x
z`B_)mqk-verS*s9kC0{4&+Im*Dhl^5863%70I|Mj7V!vc7LbjKs^lfINd5u&5`v$$
zB%P-(lzb@><9`7Z3f($;zP|x`_>4DTiHTu~DuYUle-Y{i>$x$V0q>0^>V3b?sLO5A
zRX@rf<!9{#$7Qc2B#nmcaY8>PFgFj~tbU8P+uk@~Ar0Cd&c$S<ge>yEbQZkPPfHh(
zLPnx{NK_+*rx5zeA)HkO1~sR9`{xRX?pjjxu7B9ub;s)3`x(VS_qqP1zX7}E@dhlK
zhbjHiyvL2Y3<Xf4l>^hf#|TNIVY}w}F)5*W|LpCySMv&KD64tD_0!UY<}nh>XkKw%
zjL~PVLvk__-G><cb4PVqHpC!6{(6hiuYmST#OQ4ZWY{H#11f`x(XS5iRAr!^@rQ!O
zE4h3X2I|i_3%&dZUTK05J-jQ37kRdtlQBH511~h;TRXIMtPRgBH5%{)4Fp^vK7m>B
z!Sd!TJjaAyu-vHGxB8^HPR>Aafu|*cr3NOgxJ7t=ySl{2(|DhEN$mgfG60LHz@=Dd
zgqw!G#r`kKJJnGI9ZXsYz{H5AP`D1D-8&oA+xQw(9Un>>5>r>^H|PrjHs72FO>9Y0
z8YzC#2u4Z`;hhSltV;z6Bsi7|Fi9Ks4c}T1aw<N!-RFLdQJvfJDq+rBi9B~!)k!G3
zSa3Vk?Zt?~oD!g1m@|iuBg|>ZcVcNVl0uM{FAE0Dq#+waTuTSn7a*^MD5of^f9c@5
zoV%<jRefs&M<GO1qYe7g?!?t8d{qq(s=x!Y@EV)AO=?I)Jm4)qxERByXckYL>zO4*
zB1~%b0Q5-}ezypEMM$hAe3~G#t|efS+LC`Qp-|19GOBYEuBh1)M4mgVs%FVMA#;h<
zgs($(FGi$h5}=%#<?wN+nI+$bz6h2SjI=-XfjXMB7OUgE1suw$qqj=2Vo(jJl?SwO
zuni1oUqo5^wqkI|T3tchVu~Q}6@!DYP=Rkydc~kph7wvaI2ua$+<l~&1B?`x0@%-C
zzG5J}xKb+y!h@FpT2>6+2~76g?S$!U#o#jN7+W!*UxQgOIIk8@&-7`X;6>f96Cf2m
ztPVKlT)c0t{q>7jt88mM`$O6+8q99+%B??qf4wZ5-ZPKF_Y4waL;W5V{w}iXS}qYH
z#Nb2L@nk1r(1+l|9TH1x$bI0!hu?$teb$I~Uu+PxA&?oJWDC?bsNlnM?ZF4)D%i~0
z6qqK)6`HF~abOEW4l6gr?a5YsOB_|F;jk?pvduip>=EapY*M|FyRqfr<l~$GVP?H!
z6a@(8p)wKFACXWi!{<fkHD(|jgLV^l`oMxD+wr5`q23-Fx@5Lv&!#@}m2siZwPsBF
z9An!3Wto<I7E7>$x)~0Zt&x56eV!~sqVRnl$3jv+K;ylSWQz?EeE7f%`m#NPB5^qR
zUKvWr_xUcA@L3zh_d$vSeV;D{)XIGy!6KoQneDPndc}*L!jwn=^S%!YG<bGP42=oj
zXK(yPyCvw?V0<68t!ZLgb!G;GQuLZccUvW()J)v!?1XcP=XCD`(H<^AP7mJDQT9PV
zul{X|7Qp^B_#e*fD~Wbp<TBBpNUY5%U!*x87il#xN}Ywf4Y(L2`K6JOESP?FxABjV
zcSWa1br{WS822%fnRPI}>JXkRk+69;elIgaF?k+VL(Z1QOYLR#CGg@W+!dPHDdORJ
zF9GWL3nve=)-z*~3`4zxa&&@ZoO?X;T)@bE7~woB^wdUR`ygD9%Xbx%G|FwonTt@6
zOA2VR8QUFBHU*0aVvY+r^ING2^Q$w=^QSoa=Bmt;fmXOG+py3G*E+`%j^byIqSn`&
zjcRKr?I?$vo12sMY6pis5)pnO1#CKptCe}Iw_G79GHJPTAY8YVL4aJOS3-$E7YUIH
zbdi#PTDglPM5C08By?CZ&gCNQCB|Rd_1Yf;Dp`Q&<M@l5B>FWNC+Pw%AN}!;&gjuQ
z0^wY8ac8cIR%R`TPVRmR&y@{_d)y*%vx+u!Dozhq3FV8FcN#*!2(0MJ4f-otF#YrS
z=LP|66e`N@tXRUtMc5GWr;gU&%1)Q}crw6}uVXcNk7wC*z1^XE(*+fKk4M=zos=JV
zN%8nTHaZmF=K-j9P`-~}kcHDTPsNEw-Um5X3cZ~J^WKi!)?!VQ+)w@++Zay%GgttG
zXEUFH{dETH09~5>PYAV!fT?h4_QgUYT&as)ntf5Daiv=~IOb=`@6=2I-XB?pPI5d}
zL5V=e1N#%`c<dceD|b8u14}s`LY*YMT{#{X0+r11xCnod<3Ya$<9M)J)V8*o+a{*!
z?HhVqqhhy6%FCmAIMG6PyGg2ga7W(aa7XZo4_SZqAV?c8l2R|0bG`q8*GbvEtir<^
zG+r99pydP|Lr#W+^p8@<$Q9ZO!qJs0v_%%2SGxdBfiN7Rea&<h5i&pP7|u#4$~#CI
zj7bNpA$qdQu}+e&W`s%<lL}?e|8lhoo|+x53A|qNPHz_-oB3Z0g+h<f+~se;zL}pl
zVA;%%DXLg2$7r(C{>Dx}*tcXk{eO>9lRIRpZXfa=qM>Gj&(M5~U^Lpb@8oBIWR9)5
z0w7j?@hyYbP_>Gn?3%X>{>G1|y<bl-T7!;-e9zy2U6ObM7D>Vsha~m-mccKLstpzg
zER^R?wJXoV1k2aYa^Sk}&RTY&j)p<99bDc(Ufpa@8XV$pp({}GPa1eH6UzhQzCG(W
zKe;|Y3^nyizC$o!#ua)h?o2PC-m^J=<p3JAvpK$F>Ev=;;isgFlR1n)15ZU#@@B6%
zFK&*p4bJ-QSzX^CPa&$jMs!`D?vb>;5UX*L@Ik9<(t-_96R7r0*Ti~O%r3^YaVO(z
zvKh?Upkg|X9c+g4C}KPF=|H&A1%Chk1RtpiBRr>E2os{*U1Sl?kl?biHe8=G1=FHQ
zSj&LT?(ly&SCk>3?g~rEPu_)6Kb*WXSolSZX#O+kZM@IGpnRmLQoQ=5UZ2mS=jtbk
zF&XebD+90y7=08Ajqpj1BVbhiMtxYlYSGQ}@)9%KJ@nDm`gF{fQ_V}4cm*Q(EayXd
zmmdr6vU&*MEl|pO9_bNCaGXcNB+cJ61_}K<QZ|{fPF}uiRA#tq$`Fa6J$~uZw~07+
zR&~fIdm8B<p>8iibWB3RlRGAnL&tGU!jf;;CmE94sW%%~7qjMU#4#sZ%(@IGe^r1d
zLeDRoe~_{koG~I3&2Hsy!!{^bE2cAh{kx|h4S=C0`U?fzLg*hQgk&RDoTQ7fTb#V&
zAWjw?0M$7Z29v@SM%!Rxn|~Z{ROcpKQJD&n=gz9CO!6~ea*2~gYoTs0Mx-(lpq$F&
z@NuY&CEq-F`@y8TSRMB(;8ji?y;X`cM)wCOIX?n}BVpiD!-tqX_=s|0FK8F3=iSP;
zH1JlkmzR=le#WSQg$f34W%J7Z8(>%7h5Ti2ibji})siA@Mrug}WBckd1k;kws{**o
z`G6hkGavS5x4}hp<si3`+Bex@GLnB%rhCGX`Xek9&X4_!SGpKC45tD@pSgTGsrLqx
z+Jmjj6H#pVK1p13n_e*r-(8$foKZuBO9_VGLh!Xf;i8vX3ltMC$?*JIARA9S`?PVq
zVJm?@f{wA3K>9V9mB4GWDdcp0OA9u!^>s1u0{dziel6S!EEnrIVLhw|ZYx?36n$^N
zO|kT_3|&@dCw|u~^(}m!?kKr+Mg&^;=I{Rkv0)xo`oM0p>!}d4v78*{wm<D}$-)-=
zEGfD@e2y1P|2FUp&tyNW##r-PCPjwX>g?`3Bc-COYAwP-Vx(n%=ma0*CD^focO(=F
zUBNrW-+(<5&Kt0Vw=qR?>$5e>Y|@(_#w;s%=NmP-<z5}S`niI)kzh31wa5DzAnpN0
z4P~#iRjbVDMP3YL+hlHjgt7;~y<HH>4r7ftgKFbWCIiW@zyJ>_lznXAKql_Mn)gEh
zZCU&cAJPf~+NWRW4rrTCZbUaV@tsHtfAisA#<qK|M_TjbU8oTd<_=a2<^qpAJ2>|?
z-tAoz=`Mq@n4o<W3ytuh-4W?lCd|j;$eq14K!3qTNmIC(BpG43!cqU>;0|arEhuG;
zTR#X1jxZc1Y2&pqHkXQ9f6J)M7&?_PP6@*OEfMF=s*dhu<JM0@-Cl$!2q)pm1>th&
zID&ANe22LuLfVAXlL<_PS!*`5xMJ4#7hs97i*OcY^;RjKGW`%`EnbZZ3}+p1vMzFN
z)+4z*oV6bo3fE3sT#8Q-@`0|5AGTt{$x&qprf^mSC45Wb3Lmgzp;3!KK4_t<;&9gb
zGTjsWco7x~=SMC~MPwParZ}ASl3-F*tC9Q!fC~@Z7lgB*F3rf23Av28=#^v=j7y61
z2?a%jO9_Twmqj=W$XD&XzYu?<LAYI#;g)a~VeAQKVLA(Ey$(9Y!ddidFyX8TiV@&d
ztP_*XZ8LCh1Uv}d*NE1|_MlL3M9ZM9`=Hj<V{pfSXF6asR8j9efurgWfpgr)0H5)`
zTR6WuCZf@owqpLZ2|MNK23%Ja6zQQHRQjUkR6ISZUrOpKN*LN&SFd9EUk}XvDaf&^
zN^b2p0(0+?1=EM-TVT!*rd(|9Ae-Ka0GB;c4!^Xx@<|C!`Ca)Lu*oN|8Y4pY=(9xf
z3C@bL1^nE8b&S`X#q5@=H48TCA9eOU>SdoJUik$m6dJGmhQ9%OyplIyiC1EZs>Dic
zcD#Gj$dJmrH@#G;<NRZTZnyDKJt2Q|v={1vcZ>cL@!BBQ9#myqb9*QvP>RPQ9-?X$
zoj9rV;FJ^o#Z-lmdj6NrhJ8=b#V4p=Lr^GG+z<CRU>A4ZfJNLf#Ubv;*~Q&9jJw3U
zOcgqg&ok&Ua8x1(;o@9|nqcuABi<S0*~OP}p-b^SU%S1%Cr2qK*ZXL73;8y_>ioIV
z&mTJgFD9&NLC1e4{SDaVoHt;Rb4+o_`Du1J5Ar!(g5Oh}I?_80$_-KLN)vh_FIY8Z
ziQNXhKFKJf8pU~Wxy<GO&Wq);KOF$q2ftkQ9vjCM2^I4me)7Y{os6%^T`+_XYPsyV
z@cFS^F?$xw&1li=54o#YxM+5=XVI)0)#2LIc1*WHWDym)P}WshY59^bq5Kagj|Qs&
zL{K51Hu7wkKogT5;XU6a>tlak24)fQeHsgm@QJl!eXRURkWK0YlidzFVT=4IaVOd~
zFQZWS&^?MJJmbyYXvzXq%<<8mx6$XWJUFg@lu}9Yi2n%2N?mCBD=4K!iN%iipF@IU
zDGrk~pT(Fz>PvB}oeqlvmGJGtGV2{*{yRE3#=x$ad0frlhftP5A>YD>>b;j;%-a|0
z_F_ztcnNTBF)xR&V=>Q?Z*`EkN&M2V{9y3RwzA>SwZ!*tBtU*<@M9@IrL6vADH~{x
z3(wtD+wlbb&Z4!XXe=F+Y_=WK(`J091d1QK7AS7n6fI!#e0H#edD$*hYdy)H^%)yX
z3RkUzY+wjgvL{N`lg)Uk(VU-KTy?G@^4(cg)k%(k%;76q$+eK(iy^6w1Td#MIs6=|
zW68HVNPr}MX;^+x9kZ=s)p=0?!f3}zsLso@X|!kTGFC0tW)BIPgO{4qrc}lpoey8e
zSBWLb;#;88s_44~%qt*5$=*O1T9piw)Rz2jMIG%Nzj7czYk|4-u7AiN$lY~i1baVq
z(4DmxHT($F?M0c?P(qwj!yLj6HMHbA+Bt%0a7zHwzyhF%W^2WYcxM5|IYsnVDb8~J
zOTfs;H@~1S8@RUqO*V-3>nzt#OUWeP{PHhYsKE7Bwx+GXH8?o2e<qCS8?s|vVgz#~
zXS{di0A~Mp8Tx6<!*2ta&Dnze>@!<R?u9x0cXb=)wgV`moIQtOp>X!}X)nx4!KC(J
zviy5ta<d$=Uu%Id-y8stBf&VXIG@-Hg9w)r48OtPdtt<!yVTJx5lxW{x9o*E0_52D
z{1~RQy)aYIF}4?mehp?X%=z5M#}OBX0lZbAHAXjj#;x`kjl=RUYn%)n7V-4P>0Q?{
zMr3rq&m|qU5+|yq<F(yhEqx2{LG@kSdM{#{{E*d7Sup+7ZnKvofTaR8<08d?Sz9W5
zTz-Q_hE{SXR)ekUucDM$wBzpYsB3l1I*pT~9C^p@@^(hOammT|tS6b#NjgyPpkmox
zH9+GE?~lz>VWd##jhrWi@#;vsml}m$1SHtbG#Q*O&M2iK`AcklIQffU!C=GLyhi+!
z8RGeCi2Ang`%7gY6~5J9W1$hQV~(h^;`%<f6?bOwQD%$<vtbY4YpymX<ta;F7AXd)
zFBgc%x6AZ}yq#}Bi2|=kcstnVKyT*@0kv{(M=-gRw<B~>vLNs6urRLoHH}5j7yiy-
z{6&{q)33q!JC|7kGd=q~Jv=$4k<)|!<9LqAsJ<sZXeIEcD?jMDvfw;>l*mBO@P~}h
zT1dcctwf@{f0Ut^jAAu;|7etaJ08r@c4n(_oap9=o=W8Ojxi6(y0B&|Ce0xENT+!_
z<nfVgy-|FmgQ4C*`A9*kB7CL!^@^4$u;eox!g<t<&!ko8^O=l{Qc9Amu=U~O%3whe
zKGU-R`O7lo2k1K`WuO(l)Ad+rgj<qg-|0xzchYzbr=xWrDkQ5Ek2EAVh|ep^^pSk3
z9Z(|Br$Q_OeX6N|TDeapm|x1L61pl`)0I#40icq_kUogN$fu%TgYl^@gnb%#XJKzg
zsN~xq>${I4aYB0VqdsnrBZ(d&Y2(ob`0x5wtGaVE+EVRI)+XBZo8U&EdZQDqi%xzX
zoMd8vOz<lmVTc8I@I@>r&}>d`hHN+nk4AB;)oe{P8xz~=ZFqcovNlc`Abn$Xx(yj_
zj9XipZKxc}!RISlvoSl}1U0f{z*_eB*HQ@pJJ2fsmI_Cs_Cp{QZcomC)6M;|>~0iC
zplA+xKRj3|52f*I>&7H7<iusKaooOJaFjDLyB26agDjpQJAAVUGl*3i_J_{nZ%RJd
zTusMeo4<iVp{Ec2kG}!?u58|bWmh()s4}S>wpq48=o{;>vG)m<fR!9N3coRGb;oYi
zg%JNy7^Sh`{m;K7V2#%8`=1#^nJ;W^_EAr^JVDheCtF|#O5Psjgl8zrB}7R5q(eCJ
z0-Z5Ioj42%g$mN~{s!!V#2c^(5~er=X-}}wE)k+Mz31zVnv9++yWGNshnfi%n{@=E
z(XL%={D6S(ANs1q%e=i#u7?A~Rdr$q{(ACK_y}HFAr0EA5__EdJRyDfQ^$VBPem6m
zN-*NO)T?6yNA#Sk?PnAeJ<fgCyZ<_G_Z`;zc9NE`Gd1t<H(*yf-hf5vFvX#C`x(9u
zhbV8vZC5w{nNhEy3SFsS$){sJl0((~md@w><l0f?4del_TzvP0zk#mspk{(iQVxzi
zM&+w?_*0kT@B8U33CJRJf{hlQ@wd<wBCMV6AzA2tTxgF|bwx1*+6RbXy6nS%Uqwp{
z1JCsm>Kz6OY0!p&!pDV1{giYu6fgn}JQYdtx>&0U=4`nkVE<eJF$h>vboDvg+jYk<
zupSD9`d*j&8?cKbZ@@APV2WcHU^+!X=e(t}DR$kc%g_{sUE$tWNyUx{Nuy!A-uW>p
zp?AOU?Y39%3Te>vZZSm|gedaAbn$zqpO!8(kCE7=<{e}UhUC<3DbFQ(CjZv^_DOHw
z9IEwaBoJX9)<gaV?5f2Zu&5TM^h>qAVbo<v_^wc`rwB=-VY_PiF)5*1Kl66mt6GIL
zXsWdcqjW<4*dMy^EgILEspF7zp;(N-GKy847f(%R;lAXn7)zm5$F1r^70UA~7Q>Ft
zzu~bR<?XyWwJc%SshwbtZ55E<TO1G@y7=K_8weSE$zK96gIcT{@y4UYd1THTTJHNa
zvgz>Jo}d_SQuqXcUtIlH_QRZhDT`9`2i)-~_j+SywnNu`L14QL+r;ror`)}z#ty2U
z>yf&VoQI+@oSYLZA!4y`_t{@rCKOHl+Q2&t{K_v9_WPZ;Ys(-j)(Wq|LL)-PKyi`>
zbAna=bT8eJ7geroz`KE)W~Rn4$h)xx7w5wA$<)~8ajPD;N2A8fSYxV+Yb~4U$RUQk
z@nqDNSS+%Dl+MB(e#{Th5A+rW$+ri?p&rdS6G~YR@U|hraex<-wBg&ZmHGkR#e|9&
zLHJ)%O=t}#H7eAH5Y>uefR3Ldd>s+!&Z-*RvPW>=0Cjs&q5}X7BCWT{(meqiwqUhz
zlQCF)pqp-TK6oKsu8N#MTK}j6es4FFe5wTC$$KGliG!Q>LH4cyPrV_VuXfYV5X6^B
zwH9zIUv#Yhp&J^$1BHBpx+>gdvHsp*u>NH?{S3i+D6^XaZ1t0l_R`aI+vK(niYZwH
zg$9N8GN`*N$xg0OOvz@$l&tEen;dMIkgYMQ!xYV;I}Ti0@*U<L#Uy7^PbP4Y%vv*d
z)LbuQF4Ax^Q=lHmTYkcM8)fxh4ltUnAx0HgSEJFHzD2kj0=-GT^a0~L$)Iu3y}IJa
zt-tz70zsqQg~7b@%8fXwd@c#E^`tT;X>9e5BH4-}Jl2Y<i#pj=qp~2)dKnSt&f1F|
zn}oW(2+<%d;mHYo4jqTkTk;+16b^}5>dpfqZ`N5X@@E$ySyJS88f$q`WrM!0hjc(b
z+B#E3Z?*&H=+I%UPER+tM_ZdMp%!>6O?3$8t)o$WEFPmhLX~!{xgBn$Zfvbj#c(j8
zy^c2g*z_m2g2<I9_g%tEnsisNNP6W&XwusVVyh-$Qn)59LM+8t#s1I<zuTzJtsu%M
z^)VvPowXNT`UKSN#fWr?0Tk}={&hFq<XrHZD%gG|@U^TgezTi)zdk^C|E^nj{qF6*
zcGJ%ge3b=`6{&4O<A1to`9BAU@WK~%E5JTC>kz0_ReQJcDSFBQwzyfCqE-i{W^wd`
zTi<G~G+XjrF%VNMtx`Ie`eCFq`%*m8y`?}*N{)2b<(4er7ARPIrva`GFBw66n{Qri
z(+2RkI)xtJ_9~vQYc?V|_6>=RtubbdX6iHXbiKiX<Ay_MSq<ewnk7YYfd;h=!7}GH
z*kVvS1FCbxaWF{}N3YE-v<cT3)deZbONcyo)?Nm+O;EQNBO25sKsg67hmS*DE%`R|
zMX;n`r2VN6)X}81SRL0DaHym@p2?Rq6(!s_UA-RN$|-a(w}D1Q+iNi#Y;EDknHFwE
zhhrI?S<uE-)M)ap;(B;gu8eXulYdJLNx9w}ETdk*5z6&?!p7<`Vp1QK>w`vhZjDh!
zqW2Mb?yS8i*N35QFGi$X5}=%N<?wMRmnGkcr3FR`L0Y~nD2+)&vC{lO0rEMe@m48r
zeo6wu9{h?ST;~Wp2lNsaA?er6Pd_Oosr+i8f5t)u%QDJx-`-g`rY+_H+P941+GpV9
zf0ZGRPG9{dfR`L~>_(qaFL|-k@H*Y>xRoD8kfVPn779mSncf;616V@aboazyqI$4M
zyyaq>Gz!%CqP+kN@qJBkK5>%)0$7Uges$-k?!;<psZ)1i$z1X?f9j4c7<k?=!^InR
z=57)?#?IW)ufd$TdogG;Kj{qvd<6r_Jzrz6vFlp!c$K84htqdQI(IuLwfA(1!Og%N
z)x~h@y4VB4FLT-<3#Ol$SC={ItTFB|&~LZqexUwQ4h!TA-YH?Q9V_!69n2t1{s61V
z-(YY&N}%;B0!6-z3k=qJE-<i^(z|n)w>#=8x>FpozGMa}X+yn(+7c9^BxsNEs;7A^
zs<b_3mUF0ZJJYKCjZdoR%gYN2^GOLw?!~r;lRpm@5;hDz8({xL277*2Qs1t9daMkx
z!t?qf78>DdSA2EB5!%%SszoqwE(pjeWg`v945IUNnGTW%^-U;I;AsgD3V{gppdJpW
zm3vTv^QAl}p{0^9c@HY!E~q_UBz&kv_>1l>pkIUWp<ddGA+Q2>+tZ=(iEY)H8Mrm4
zPtMdO-8)lOvU>2Uj<<VNj%IptuSS4xUAb3>$%5&_^UA$)plJA62RpK{U2l$5X>7>z
z8kGo@_q;N6ljE_PyyvCt;$D$1VHZ{yn;FKv1bBQUTkDFibP&`#C|{|R=nJRm*&%@B
zJ+0t8EA*a@*1V^BV=CT(kz}%r5$r^0PT_@OB5o9zTMBUU5~O1|xguDEgeUbZ;>C+I
zUJTHss+WOSxKvxQ&<M8;#V*w-?plFuUDei3+R;*Nx0{poY6nM85*=9V6T%~7jpYhS
z(Mijd10lPq3<BhHZHE$pJ{KYt=yOd5)XIG>AsVH8E}`3!ab5Xb?*}Sb-0B1Pi+nEn
zH5i}k#qH{i@kFONF;#Eh(5DNddWc)8)b!wCy}<5askK+8>aCe-r#24jaxGX#e^GV|
zV@0{aX}MZPm|Oj$R1I<q9t5trJuZJh=CiVFdf#s2bQK?<(IFyFE4$EXxr#FbFuPVM
zpIA}u8CuGV3fSe}I^y4usM#Db$H~#Bpit<c>>v6Yu%8^|4OmW&Vu~suN{?wD7)AZ^
zixQSSV!t+OatBY<H3|Q1O4Lm7!M$G)j7GcmW1|d^%+ECUMXQJWziO*iIR-28;)%#i
zX_Chg5Avn;6Oq~ds(D!1bqBgc9eKLWA)|i^Aue2NPg6>#+PXgO%%!Z6U{qH^`@Zo{
z#6J0PNE-qf&dI%i%AovtN9<Fx2;7b5+#xskK4etLnaC3_hv6xI;1Qe|yfnN$6HnH+
z*5Sn2baN8ion}LN#N`W05lGHO_75i;gQY+?$Me`|6I;&WJ>DfpA2*eOS2)I3W1$ft
zN}wc`qmRlO`^kI+i7IT6Un>O#{b7{SoNO@(GPc6Wkw@&z5hIfn8XEg&g1e-y@UDka
z*5ixQkl@(%hDq8OVi-1Ue{-4*D{v|TkT3!Xw;PqY%^e83IJ)?1BF>#vwTxwtF1{A(
z_98_4awI&teK|RF9Q$%C`HmEp#3LY*>1jxAuq0+XnQ=A;L1syYlX?NV$Oyh)163k$
z26QE5?b~X>=b<`P2;IVf<nnzQpTk1o8tl7`h!3j(@Ka?dp(*AQ1cjes4lq(&3ScjL
z6F$Whwzkw1Q;eGu!2A?5c^8oDd(aBg*#z^q_=_f(^lLB^%uC?GXBN<J_i1{$q5DXF
zMoSNq%XN;)W!6uM(zVB<>3X{ZtK%4*anCS^RH9h?S^Xr94UI4do#9hC|LpQPvTS<q
ze41TKT<6HQuVr(~11&(CQ%q+bb*8z5RU{^w;!hp><0XD2=9$Mrq0o8ess0A+^Gx1=
zWuA#Cs(DuCnR_deNu92k55VFsILu_Y3YQplx(%p0{`+T~texP=(FF`qONTK<>+n5m
zZkxLW?pRrzF1%Ur7Jlh$-D;FFx@1S)PXsXB@W&8NGy_K4JN#`2Of-{4aMi0m*Q9nz
z!f6ay_8B}AH6yD+qnMSy14iVdh)V{Rmb^HF&kR#?Bm&Zh8T@;D2DY~u{2zsNKjAZY
z8v+^5$=*=gpl0w<(P$>`G&&M7T}czgeeh?<{C)N1afhZ@%)rv>1kT)X2p12)$vJyi
zW~sf&qe#VY@<mRJ@TA;A$Gq#2`8)g(_z!2`=hv<JeL>N;%YZ9<{BL2Q5w6U|%U5S{
z;i%B41lwo1!?ZSP#M{MfSa4V^uG4`UvHHo}E1sQ=V)}U+F^uy`yZBQI5P4M31b0xK
zk$xUZS?BCOh6Kl)9h0=-$rvN_IXfE_Iq9~cc+q;jI<MG^S^GjL<cln-qjuR@`x2<z
zixJJ*89+u~@lcc)pcl~}I+I4a=__Z2A7vUW1<IBYdaRq4k1v68au{STam&z&kUbP-
z@H%p_k(?AdVk4G($CXe=$-lHrDX`{dyV)@4ik19`RL(E{d@7HIDR3(Px0JPSv65OT
zIpVRB7z>5l(Xd#_&N7rxtmH;0;WHXaFbXLy1+bUBB3AM+@Itkm{z7kr%kV&ugpVQt
zw8TnC_dJJ4FrCFp-iN;^Rzkl96DzqGLjm*>YM(+SXZ02;>Gcutm%4pR)=T;?J1>ww
zEkg^>l!IOmx~Mr7<AHa_Lj5v{oft@zFVY&(kpBSiQWYoNbohfPpO$6QznEu16oN7r
zLpiB54;a4LB7T=OsPUJ8r_8@DfiDq#c@heRMqj?~Z@?Z0;0;)U5tyP1nG$_D&aRa<
zd1qJ~E({FoWvbAH|33`6bm3QbjjFz&KY~++n&801&xv;idG^2r<AQrsPy-WRu~q8`
zOk~QQd>LWuLtr90Qx^-Pe+nTk_<IXX91iXK#&Tn8fenES=j6`;l|cn2Ruv2$GA_Yb
zLsR2>kxL<QiK9eZf~=oEED@AfDp|4-IXs+f2xhd1O3c^sgpgm)ySq!a4qQ_PTM?9a
z2^JdRid-C&*uW&CVzbJ0?G8(aZ3MGzxa<Q$6A+;=LtA9NjlBc`V_hS-f9g!|bSPzw
zNhFZqh)H0QHcA;ojXqC@*X-bQ4s|?p$%MOQPn3E=p4V%P=G@i~=M?;s<Xee+cUIL<
zmW^554t0Amq?m;SFgKgd;pdo5Tk@?A5+I3R8kQd{kJ(mcuU#|f>kAN8CU~etffKyT
zDQn+m&<{d&s;IgJ0?Fkw==-ryxYCEspr0&53C*A%Cn)?B^AH76Tnb<>d&LY|m}e0q
z_ZQ+bXfc{f04+1<cLKS--3FM>X3)RJUo?ZJUxS%J({2O0>})sLZNO;hVYk8Wy4@h&
zPxcQxBIceS)1CrBjk3*vf0A~F?DPR=`E<=cL*7@Gop<Xj0v>Y<yNa+m`(2((R42Ae
zM3oG2@u!aV8i`nmsqN8FD0FK3e18M>sV#57GPT7N)e<XHTjkiI;Ym1Fz%MfDa@$CC
znD<Xd84<w~&GQIJqhb3*lVRdEp6W#N2wSzv{7&S>74S@Fk_Z9m!$kAOo`LOcqS*@T
zzE}abA&}vmEQ8txHPQ5}fOGA|85-Q)!FfaToxM4{g$FrLSx*;D!z6*O0)!}Kb{QvJ
z1_-yZ^D8)`$>uhAHzjU#+Hys_yTa1CB=1Hlhm&`4V#Vlh$hsnw*wfSDo|5^tK}?ug
zwmsn;8FQ{aa=`+z3kZfbFvH1a<x~2K4FEabgo;zQtxe<=o|=Sv!M9aA<3p_8XdSx@
zd?<qdsh60n!xh8I*x1;bQA#71-uyVzY<J{!Nm=618a_LmROuP<(j(?t1-UW-_!JX>
zPm~dWWD5`k(*9vAwDN+bAV437pCIXNg;EA)B`E^<5(7dPd^zYGu-QP{S8qe0WPZ+I
z`7(p$u^wPq0<b*df<-xka7JG`45O!|q95G)K@dCzIrhPV942IY&yw%3{y$x&|7aJ4
zOe}`Zf0H`zH6=+4B}w3vnRClLG`Ut2Iz;!c0vfoAHSi#1%}`H1iQk#erOw&e_u=H%
z-FAF0po=x;?+x!b(;I(Qz2m5D9|`Zcuym3&Fh$E?NT=Zv+7>(Gazngx^v3G+EF1-&
zsn+2Q1bq4+u1?l015mVW7B((}0i3Kc3&>whs8u^ryaP8iGlN-g*#@m$+i0fL&)q=6
zb}0S>G2r0AP6+iffL`FaOTw6=WhfO9jWt+Ex*}+m^N+t}5^(jq7cN-9ts|UxrhVvZ
zX)xp01;Eo5ooc;-V_r1^86mN#M%UMGjI-Ophoox~RU1=Ly#p_0@GA!3>>WuJc{14p
z8}OD!dv>xmKF^j&8B*gXoiZL(&c5ujOD;R%<TcTijd%wfH0(fE@iGO#i%uHS(C;wr
z>_x_GtREe+*kp7Ygb(o49+{hxidiBzVB$|H=`=-OA1pj-eDiH!TC6eRbx@rnMvO_S
zLYaG;^%$`-1GMjXeu+_?e+1z%;LC|TcUE<BST+WHHPmfl^tKIOUO@lTz@lKVL`of4
zh$T6o9KqmRzB7b}nkFb!yGAvIm$WOJlp>t$L@5|fwwDnG)dN`$g$0ga1J@mu=@0Wv
zGaHz0?4zoJBj&1(oG(@Lz22DWj{N}x<Bo2@*cZUK9SZvvb}=aaLO@BuO^lFU|AgY#
z;{lcP_%)7Cf${5OC~Myq2tEnbsdmb3EtCa<yRlI4a4Jq5GS8B&7D$;EiNndmWhfzl
zA0jCH6mx));!*&6*((+ZgyRz=6A51+5J3<Lpk;yJ1|ZkBK!E9Nf#4_jixvpz*I*V1
zUV_`iw86MfTkS5eZ|cFX?D!+xY&hnL<*Px09+nGk4s3#Ms1`T-He0Sectk!AUf_je
zXTk#T2I$hID!J}Ohy8PCi&4jtA{B`S)5T}|wAsG|u~3#xADC|*s0wUuvmOaqpSZ?2
zk!|Dad)?|f$iAu|HRZc!=4V|54wq~!u`Y5b6bfAzInLjJeO-h%U|AQz6m<Yn)<sUk
z{^z&2s;D^Ci!my{oYGUBI?`ttl)DEa)zS8^!t_L5@Z!x2iQNXh_Qe~<IQM8M7G&`F
z;z71*l{mS`i;FjzwMh;{9Q&|%Q}3A{y)E9vVci#tH#P(^oRj~AfqhVmH^&B!cXGEN
zV-c<4{5Q~r`U>-hH!1UPHh-un6NnSVZb8)7Nb?>jUSe+hlIu6+3rf9A-iR^)@Ad?X
zf>^tm??WE(<_~zccS#`bPs?B|0&#zgg+{o_7w;#WP;EVgUNr~IY5QrXp<FzoJ8576
z5u$4-a+)C0C}C_hG>2CnP%=MDnIp&RzF;uapvfIjN{f|<=f(aU5*&dgOwz_nV~o=S
zOGm2!Isp^@WngZ->yH}*8N-TV|8WM%LsMU(4!X0dBWBsq)Duv*7iEe_Nr-b1sT{(N
zh?FJY(P2_20Zao6fJrl3%Z3We!Vpc5KT&`&vV%{LQ7r?f$M2@BeTzRV-KdMRTO^eD
z!y+scZbia2C>~md5(4;OC{YwW;s7JXr2zJ_SHvHLy)PAi5Cgab&=P<6J}}uAf53DW
ze>f95#^Mk3YcTPLD``foyn4~6@Wc6N9UT)4I$mE8eo!dtA^LEW#~V{x(8j(lf)7en
z?%2a~Or*uokWY|Cj0V6>UhVNm9<GvQ)BERJ<Uv6-7kD7?>LKu;)s4~9Ebh?ns(TJQ
zv?LEpgdG}CC^YPFtG@wz*nu}-2|Hkl=0?3oE+>t9tO6h3HBTzXCc`6x)sJ4P)b;G`
z2Ho!QQgxyHL5E(b3ywLwg?Md{YmYfFuDM4*5l6t7Lt?8|@i|3aj5%a>CaEKgeTX?c
z)H6GJi#gmM)_oCkupyA)oLmOA4JzhvOxP$VLk^5XG_AdYgIpMLI6)6ND2nNiIFv3Y
zbu#(CNZWAoLr$Xb#0)uC1X2VX=J`lRjQL*1n89DF^s6!ui+IB?u+Rus_u_cNW_7yk
zjW;N=<qtO~8T%G(*ykL5@N!F=IuHH_z``1BSO(QOq79g&4U@*$rbioAtMK{9$Q5Z=
zW~pi9Wgcme<L<Z;Ygk3yb7xft%CfPB)ljz=V~RCMfOD~i9KMcNgC*Z;XRJXLIf-8y
zmLF`H*;Y0{xFQWp3J_Kz4XBWT6XBmx*1km=HkXneeiZVhSSZ|nghd(}WhkLY!wum8
zBgLfv_Oe$*8ib`6<D0(_-{~O6Z3&<y((rsB*B5EPbQWoNC;p<H4)n_#X$T_k<;Muy
zmi#{cM0ZdxSYhU1@#Hk@+?<Qmdp?pSi-DXENa{W)siR*eb+zRJx!RbRXs{)d+A6$k
z^$3{V9R>fdI11@f*frUz$NztOR|6zRah;LSNjlx>B=I8(j&oLktizU0aR6fr#7`l9
zg#`!;OjOFUw>x*cqrIJFXI4KB1jjB?qH5xli%p1~RQ^c0?2tGH2h3mL1j@mru)zsQ
zC_A`}<BAg}PAD5Yq$+muy`G+)o}TXBncF*}bA>8ex6^;GU%&VI^?R?o{oVl-*dOlL
z1!Kkam1(DmLot&KB#J1uY*u0u#<{(4dyZmLQU_^s2B4Q>gX_1aM=)7;;tx0(k^ni$
z`!5Ga+YWm%Xe)wf`TIdPv{}SnbH5*S4&bN=y*9EH4-HgmWshayCTLNHLeY{!K?kw7
zmFXthoc6pXDqmG;`c51bTEfH#cvePuime#&PazfAs`3TQojgGEQo(l<E`Lt@Nl`KU
zgX6|<K{K5M&q(vZ?GpzDa@Y#o&-@jmE??m^V!tBrqcaLj)(_W@q?jt+thrc)65P69
zre=scr6;CFQUi-Z%TnLcko-d*NW%KBY9YDX1W9tAcI&Mr^GJ!5OhFqm{qrJ;MPpPh
z5>IIQV;WuGx1!7NI@G_TQeJD$3D;OzPH)ZO9cZjMlp}Mn6hx9d<DsaoFw1D3_1I_!
zOqS2X9cQNI%|RIT?DiGbjch2XzZ$M?AKeixD|={1_#Ei$By^o|C+ICC5hl`$mArPu
zj6@ca??%&-*bXPGLO4S_IiGQPuN`svaa_QLT$ipK-w~7NvK`6MD<-9{ws)W>8Qy`0
zWGKf#GHb=cLyHqfNS1n5$Hf#t4=630mlJvCVJD%aul{s&TL!871yc7bu(s{6>XFJj
z$YMmpPrqdEU@`eAi-%|~!T8G#D0ujo9ZVY@6fU$9x`7U1*xHXHM`B@Kwo^>lP6g0U
zTLE=v(M&~_1hn<~d3=N*u=4_7Xv;9zwla(#pR_}ArwU1UvfpjDy-rZ}=PI4xj;<F#
zx4oAD^ke`Pd`c8zm1<|_&>cA|%L}8VaK<<vm0MEK|FU(^hK2DZRLZ+Be#_p0o)CEl
z8tS4PgOnSK#n*nOUUS@JnK}_YX&vEBrRld?%)ODps#(m9T$@IN0;?XYyn`%8bdOS;
zZtp>&;`~BCdnJcnamZrAEa<k{;k02wVNAWCvy);0LAT2as8!JQg`t?ByTuO4JOo_?
zpn^|{M681DG{gQkBix2X!C10MU(&qnS%+v4YX?y&uUNaw-hrO%cn2D>MmYwtwt{Q|
z(SS9a%QDkrzfWmPkqy$c6yRLePk&YI*BA<w9`%f6M@9k0`mA-lR>tZJLyED6m{}&K
zJ^m|=`)BO1%!9Qe5R0%@|FYye)|n%cn(m|6WG$%Yw7$~)D8j4VZ_w_I-=q`SL73<5
zF}~r&yxXI&H`3uF*wUiS=8oIFX&0xmZ|A~dW4MavCwflu3B&%5GC|2P=5U>^N%s#|
zCVH&<eX1SVW>!WWC*3d|@(rc=G$%~De~Q*38!YzA+caia(jFf`A%OZi+RAL7W$s<c
z_UqN2`xLb*?cUv=plY}Z*<`8gh1}k&dtc&krPJ!&>%K-)^N*+%`O|2U+-IoOc$hS0
z&*4g-rC}CiBt=uL8o-sE1bh(_?)vM1?&!*(Z=(u{VXOklY3!?S?Nr)r*r+4ZE8Un;
zt$Usie_(0a2@X5BBLVyBZZ+t3a616qjnHjLAGobb90ypi_JrthPp2V_yQk4Vl3_bd
zeVVZ^rRmhp&3mrsIF$fzKwI!n_T%`KsZzwX$=zD>Zy>?`WQ6^<7sbB2nQFXk_lcOg
zWOVN0M;`1b0%;t1a3NKi;I?Z+<bnHa_5_XlrOY>px!#d^oB75{P^Tjfv}sMf5EhB}
z^y5xBZF&204_Nknr{y6@=9e%OOx8_k4kBV>xV$u}EC7@xvtY8mV12;Kk&Z7&Y`I$7
zt*bO<<>&Y$!Yl*MTvT2tibe-C(Y6&s%<e1DlZg(<V8;+0pec8{nJxq;hL%En+T^)O
z)E(7TNvqwZsIjLHE{P_di)dmuD{3e9OJqY#X>wP56HjcoC{;SM-8s7Zj~JlQsy4ed
zx{t2Im?2s~l*2t~+YZ-F(jNtSn1=EI;FOVICKT&L$E@(XY}i^>pe(s3J1eXpY{a^C
z^dk-UV@h*oz-d<av7AR3c;=!qGq`u7uuex}N>t{FP4@{Dx8jH~gFsM*88Y}WFoUMt
zmb?@rP#ET}0<u?o?9V8_-3QMF8RaIi(=ScZ&XYx?9jbI1<RvHGAPXO@`?%Q*XW%-e
zqh7akxYEL*xKdJ;7XCF{`_e5QlJ$Tyj`T%fj&aTF7@thbW{R>>M9ek+#?YnZ8p@J;
z>ccgOaRB!$X^a6wyVK2?0hhRDIVxFq9`at}ZU9_>YgVCcD~=e~2n1!gCW9XX*J#S^
z9E^elMT7%31P)W7>(62T!brwGeW|6$+NAqTv}#?Gqg8(5i}b%f+bQ=`QLE>(q6-%2
zw!07w^FX(2s8SzwHPJ&O<;)nm1m0l!z-@gPgLsIei~28wF8h2v5MegnCJY>WwL6ZW
zV4GT82gy!j^^2X6VpK|%0Kr_--2ib);iV*M3sjy`dQV4ZiOrB0r6oXXT!JavEHv&(
zDadABrr*ezlld-qok{=DN`UsWV8=w=@ZsY>q$-O+cBUj1g7!zhxFy+cZ`o10II@du
z$wLD-i+#E@ZCftcTG}F;ObRx-PqMb8n!PL5C;tR7bxR29H1++Kpdek)nQYbJZk9Nj
zFCjhm6VygJ9@PB^zAdPUm)Ulil{d6<B}r3Uq`pM?f!P-C;d7!jSKF46_|mkv0W49P
zxuN|ikJTL(a#k0w`!wK)qKUsif3av{_Lmy38_Cp(h=S%Fvb&dUU}rksT)Ekp?o>KQ
z^B!E5_>$XE=b*WJH7p*N=MfxI{izHP11ukRS{t5hRp#PIU$L)HqIBskQvC?nJ6V(!
zN3V*D)2@%Ap82LEC0$3EG>woWUc*j*OpAwCI4Q=9rCCK(#KX&?;&Jqdsf;dP4&c_!
zx)MUWK|>hP`mV`IBk?-|7djbhU*Quxy8lGYFsPDn+Ozu8P(%k(2<)(^!?ThIpB0o9
zuWQkd^iY0m9g4yA{a>h**Y!Pey>&~ecYX5?G_G&TNo{zOu_orxtmj)3nzzXgnCv=}
zHn8?MMb?e%_hw!)DcV&yG%4bB0uW?2&U*KEgb=gRFNaM0Fq)kt;&m}XCU)7erys>-
zY{2>AUH95M(9;d?Ktnf_W1ySDArp0_Ewc=j4Tg5giGavWIyHt#rDH474LB(fIdPA5
z*w)Ai`@8^#qLCB#+hLhU<U|Bw5f1BLmLex~^4^`n{#=B+UO0$8pc?#OC7gGA>6PJ8
zD~jcfM1CrtH)y#T<6#|RNU}WEYMjVIqMMy$UfmZVN*8O>GqDT09#`!&>Po!rIeuRF
zEv9U-jn7y4YOUS)$hRe4dOi7X)jJVOw0FpU{h&wgF7}=8D@3%!!0iYga9<_*A9uf=
zn++nf-^7wtkJ*g9!iS3)Tl~m^*Nfmbjx6{dRhr<+^MXYdY#~LtGzn7`^B%EZ-b{w}
zv|iP|O7_V6(#nUjZcE}x_I3O%2ATv|k+GNu6s$sXhJXUfN~t-DDqJX_prkZr2AhE6
zKGX>YoVlpHSQHH?I16oCF~qz<0zDaTPzE~&Z;+<k>1K)$A|tdEf+SH}P1YGxK*5SW
zxFoc5FU~Sn)E-c9-1$jw1JE+HnyJP*>oH&KV>r<INhwS2NmZNDd?D=!^nTKo(wrG^
zi8Br|@XSSJ&Tub4;R1frHi}zu#5hABD8m^U{1`YxQ*J=_X2LxKHUth+q3h3Kd;82u
zhQq8)#(vVDKyqg`_L7vRR=MMkR<oRrzwff53+5;NGYnm32{U05xZF?r5LN24_$GeR
zaD$}dMuyzj7NyBaC_$5n+5KV>fSCjKnH;mr=Ya-RXddi@z#Xu$HWgc2?UnewA+gdd
z@SMGvBN7iQBfGE8(tiPl6IuHIgZ^Tce)iYmSo&{BY^k+|e{ccJ{FmrA#d-E11i=6{
z{@<5qR@#@bafzej&=Uu|uH*mO5wLnsUiOc-%>34m6{2GJ&{A+w(-BwZgNo=v@dAvc
zDK{2R>SrOFn1}x~fr8@p{{(&RMruZ}|6jLoB*vWqi5+-UZky*O=JTAv(c7$JH#iK=
zMWwtBgNy7P=ncQT1C5cBa^z)h{&!>Cq_kvSFl9~7ZuTwaFnAwBqtdV5>Kh@%yxzzT
zgUzg2$)WVt93~I!_|%W99l@IG%8U=&JJ3@S??6LIlw+WzK@XGvrqZ-B#gginpR|&L
z>$#1my$o{AXUZS6gRDm`??5q1V8^CAQ~tQUhj}3-d#2p#q01t~e6;)pJGeH4C~Rt_
zd;?(?@Z)^j3aHhOV`mQ4kJI-KjUU+|nTHoA0#L!HL@8FWw-|oXbvLAihQitUsUAV4
zyvyZ;y#qbj@eVY!L^%c_Cs{=_46KPJKTl~(8M`zs`K4MxKk0UcNu^^e(hWE%z+X37
zhi&CA`@E?9mE(l@v>ldta99Ll5f1BLmi(kTy?9CZNq^aj;^Wm%dY6tdB#w+XecVr~
zo1J7{-T#4+VX^$AXPEcn@oni#b0f<9ZOix)2;R2eWN^O4Ls}{Ml|wj8-t?;Mo%xc7
zi&0?(5pL1>RTi6G_ftgU<L)POlR8X>bXtB1Ps{^+teBX^cZ5D!1hKI#_A#n7!L0}j
z<_O)IIbz-BN36;ACQioBG@1@S7q6T#&1pyYyWB&T{TjcAT3VmzUn9fd6Q!(_N~35m
zY2Qy0MW{Vw{jW-6ifSQAP_mkHpXfg`;LJs3^{1#$^m}OAiXrCt5$MTyelplGcz!hH
z#%+`#ghyyC2C1U9oUAJ*zvzp7@JXoWe$f|LQM+ICc4h<gqI;Kdv?)Gl9et@Z?FX$(
zjVWg;a&D}l!`E|O&1shKhq$2Lk8Ew}y9m;!u5%p4KIg_X8Jo$;N)EBJw1nmi3`1G@
z87A6N^8x7g@$XfdGXpNM%)1$Q=AtsoxF?`+0cYt&C~n0OV;O;<49jHjV_+Fgxoa1W
zrV<8Qz(&E2D%AbiaiY&$6=cWbE==JLj8EnVGgVrtD(1X7hAwTG0%gfP4H%~ID@t=_
zz$MQ62m{YtbP&!vhPJIZVw@)sl;OM#ehi$aDK}trLBeeVHUth+q3h3KZl5{HaG15p
zI85RB9Lp$okCU#M(>?x3wBmkR3UQ9kOHaC=k-mki_Byx%s}(Jd;0EzqpqlyGUMNJv
zJWSzvs?<j{UaT;MSBn75!W6!iV|MvG(7+1KgPjm~m_oeQDHNs<?_33*HDL-T09@Pi
zCX^qADXh8)f3YwH_SfQsDePm4-r+`2FIT;}Hs0L8<v9xwtgwr=MuiTvlT%uOWBwrv
zAJ~Ztq%&3$rTNLW^e)m4!x=;xNBm-^=>e;)k%nt(f*oUIIxsuG_&(Bxx2B&RH&r$E
z?)iaGrne?nwj5_iD@!0@dGR(cp|Np|M^v0CDu$n5DiIY5b@9hlJ|qscoT6j3IJ!cg
znU?$81yYK~SR@E_r>Gev#^Rel?W~ZA{J3VJMx2Qn8I@a(=QsT^J+D_<=hYBDaycsH
zb%@<;??CSm;~i+6Ka?YLwG=-x$iuO0zpNOdpac!lWE#&61#Yu6k`;P;w8|jR<qkq{
z*jy{%>RooxteI6D+1tC5H7f<Vyo)VTrnN}7jAe*_h&2&YJ^z)ShR{9@`f(kLV9gce
z@(FtfdUEF-Xvm#%4CMX}y_RFdl)8BZc^7FSjmOU_a4Ga5*<JIKa}j8AlkXq1xl_Qi
zP4hg-_qw*M6`9C5mr9kP>$R!2WBOLUrswBx?DL~Xz>5r5`ObsCX74~x=ez?Aol}m1
z&M(r_d45!C2!Eh9)0qBG1#*Sd=EVsEftQ;#e!!+%f!9VE^JI<1h~qh9Z<=0mjbbAz
z<yBiI?H%apn|Gk0Z^|*yci}jmOO&>hvCoU*3dZs5V3<@o){~AMCk5ho_FIQ-jpOMH
zL(%&V=IpS{BaSBmu?UCtFH3Pey1mzuh~o*ZC_Y}}c#i29L*mHT)WG9-bhDGpt9u$G
z^kT*Fly<529jG=0Sh3knZ%fz+!eV+(=PPvIn4a^jF+B}j?Cm>23CGYAYo!S3nO9w*
zNw}XQY9DtW%1!h%ITX>e)F<aNe8g`_T+d$?L2n$_^DI@G;FhZei|g4h8)~BaTl-mh
z*-Z$-@JbhH6FF9J-F)3abb}+Zq78%+-;gPQ{h!S+^jdCQ$sWW9QA-;T^eQq8@eP!f
z(v1{5OgbQlz5Lt{Rq-AvUtz(9%)|8~1sp}ok%YPArTqaLp1G*J3oaT`^d{Q2;+T19
z1%fkP+6;aTURq7La|BJ<$W7oc%vT<QPVFmM^h`lUU+aTm$>;j_tf)Q6Xcw~;;evWR
zNL6NkC;kz}Xi+|xtn1^ZdibdL6*si+jKl79jF!U)wf*Ka!JEm(I_+@)!#mNOfwd?r
zKWm+$Lq^O>`b;tPjCFP?-I)g_vCicTd~;Emb=(mYE)ZID6^dJN$XG`pFvB_-{25qB
zQ|_Ex1SIem<|_}@QTyu8I+J}cT#$8sA!UxTtX;B2%)WTZC3Q@t*t&RhoAOoQlF{Ow
z7_?0KW&*PkNX%qM7!I*!W?v1WEV(Du-jrUyHWx5lZ47gkP7nQK3P9$eOKkX2Hb8UH
zLD=v<v~9&QV?%-B3>#)JY+yr8xy{BEEJbqyfnm-HU_`aI{*2h|gX4mXc-%$iJ)fKK
ztke+m+!q<Tv^+;y`FTz<vFR@m`i9b+nGGb4`8os7TyzkQ`6k-7;)rpKKv0HbGWaoY
zjHcXx0d)x{4cHJkOogsLhdtA0PBI*3Z8DC`dpU>h$s@vOx0o{`?9U@Lb)h2j&Ut^D
zCCr3LNZ^rqo2XKs&218yhlQ1{<o=nv@Gi$D{DF(^WkVd=WdU?QhemVWw?zFHLYIBM
zcmQ2&R45cc7n_L$Iy3=vBOotZ03GE=0d%)vU{L@a`^y?YXCD*4hA4hx7vM!N?`ptf
zuQ~DeVjX#A+?7KBhq5E+W(0KXFBQ7_Xclvm^^3!`q`Pe6&#?Ho=!g?Qlo9WW{9dKL
z1(b2_0d^p8O?|w6VkE2UTk&A#avN!cD}Arqsp5|Gtwc@B!m(<%(?MKdnSb9Cj>cb_
zjh55f6Rw68BtUeW-wQX?ylOXSH2o>uFw+X0R;?GVyrt6YI)3lI9uJ0Ew<jE)by`lR
z5_lcdAI6{@Kd8*L@na<F1`i~(4&vt;{<GU@;@8^1tCpuL)q|9a?uGzY=V&iHX~y${
zmKQiu=I&+TS|4v4x4LuXBRGdL*Ta`F+*8zOQ?Mg@ClF1JM_-(#!@lq!#Ae0EGs)B=
zuOL2*!p!4!f^yS2<TQJ`mxpWWm8SSP6mD>iG=M8Suh#YBLPOzD&6)1bqP;PCF&MZ)
z2|T?zhcEPKTGgRJ^^S#OjaIuGl$}=9tD#gc9PS1)+upOyZ{Y7U)0t(b)A2gxI$q3e
zIvwDdK&=M7aGlo;(ya`!R(j!tlA|=?{yL~K9E;jbV2Ep<na)ruhwEt!J`hz0ikcWx
zFI?NKv}U`NSqB)e;rDW<)eBGVI90DxE7zPh=mXs}7^YWNz19qd35+yqFfTbXjUxyF
z4aX|oz$+)8!sQJR)!JHju3Z*{2gI@u4bWVtRcX@Htz%z+-Ih<&pL}ZjPPgWjkIWHC
zt#^)KH|3P&nv6=SLHSU_Z$u=zu8iZO^m-l!!l7IhGemuBIEumeU;%d66pgOs#mekd
zVDCUL+(>_+6W{3s4X=e6rq*hh@{vyEu=oiQ-9TIg%4y9aD!18~YXrUPPI&EyL*ZE4
zX_tW(2i#a?C>y0O%w$095tiyf(Drw1-+uV;;i>jfybscv@;bBIYtEtVDCuwSg{M*t
z1`2AF17{8s6<}gk<NLPFKYKnfJJy-0D&5eRq?<G2ZUQ_l=ub7AV1{*559XTaVmPQw
zgNtfGy|;UHI02fRD+~4%;FtY2QOLdFdjDuEs2nNR8?*H${s;Z8XnI8YqyAh4jCMyC
zeC-2KC$rzt&oZ6t#eqvg?L@U+0SjT`BYp#x846MRV7HAf#vqh}MgaUra^PN2k5_H9
zW<Ue6U^t0Hh2Nb{ms{`5O*=L4>QVGncbovNomxdC=fScwS7|iMm0GRiFi~+VJke<#
z>S0X?S4ScOJPGn@v~YeDZI=VQPU-{<;tl8s<Ptzqf)r}bjNiKpLM-)_u2*HB(b|mo
zL2s5fYV7+e`WXG~dbFA}k@z8d`+}a_q(UrXk6+&eeSzg;UAeeE9IlLjNksCHs#sji
zyk7DO77jIhSX6q)NO^e$eZlwf8^>pKE`o2#?}WidkC7j!&$t_D{T-*|gR79-P03#k
zBYBaM^`l5mrQ~@^zCww+7Kum6$QY9KlzehMk_Rcd`XnURQ*zd+NVZV&EG1u}q_z=B
zgOW{WB6&L{&rtFlCDjQebxIz88<M9fsg#h+Q1barNS>nPk+YFJLCMHwB<m^h-i{=o
z<b_EjU!~;CcOuzD$@DfPvy_ZaAt_Pv6eWK_$${-irYU*zT}XaR$;Zz_@;j6S??!Tz
zl2b24at0-jQt~7v{!S!EC^_X4B&SpI2qjNYGIAM`^^|<>awLyYGJFM+F-rb>7m{UH
zBH4Qtl3OWx^lBteQbG@Dx%Ai;yIr2W55VqEU^iee4=nSccf+-^7-2lHw%Wi#OH2g5
zh`!Kj5toaYP5u&<gV2E3nVa^SLNc+Urzjsq>ETq1!*Q>y(n+cIvG8{S(lkz0+u}JV
zgln*tRlP2)RK0Md>NT4X4;TaVnN?Tt@ArXu@9FJ@G;UWqWFLo+!7@r6PJ(~O{G&dE
zcl<fa$Crt?^GkO@Vze66L8;mBgA&$UpPAF43zRCQX)MtPk<)T6Ds@{}3;_&oPUu2O
z!P*=M_v*myh;1n|4i4=ruvcPxn&qfrRa}RJO16SMIUKIK_42)YuHADrtth0aVmXSH
zTlbc;&>95U2?WQu8_>^bcNu=gnBx*L!KAY<K@U_0zrh~UrFEs`9dbI<1)Xwc3J1gY
z)SCB0$0N<S)L?ExXg$yoI!8-^b0jEDJJkxgHX6Ye__g6ntV6F9_?}&~-oEvrkIVg~
z=Vepjd3jsjd07_nd0BDoo~v$Hph+2+EV(6n;C9kz+*ufnJMyA&IY*;Ajv6s#V@c=R
zGnKNh1Z78iKbC`)adkgJKTRUNND43+D@fCrpT@xl3gcj3UL2ellhV+Yd-vV|F_{{D
zjFd5n!Bg>NkJF6?5QxNz(C32+1SFWWQab1yW$(pTO0$haPOH>zv>oE>H6q@mgxwZ6
z)`!>MhYktlxmG$v`&)`ifvkp32DwhzCBIv(?^sj9f7D&-xY<tjWol~bTz+^=`oL<W
z96U+px!g4~bv9PZOOTii7vU%qL{RT(qY-Is-ZGUIMj`v&V6soP<=W-oz^t-3EO&Qd
za=SAxxoKHWT1-B5MQSm5ntuNOVlwW2qVSa5pLa^)#l*c3HDZPzY)Xz(x_+cE5+BZs
zL@ixQONm0)_k*taQbIXz;ZpKaVH|upFAn0R#BHHQvX0OIW3u|`T}KYn#_S#>^Ik_d
zA<#Oq6YU@h23u}nyADqh=C^pS!uCuf;xjXnj5J!+X14~bmp4lmoi#PG5OQN0HQ1e=
F`d`nN;IaS!

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.data_processing.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.data_processing.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..511f8508690044557a961581dbdecc285ddb71cd
GIT binary patch
literal 565765
zcmeEv37nionRm`fCL};m0yrcza-<WI337?U8Logp2n5947$-e5J?Snw-9vXz4h)K}
z7uf0|!>$Lc?s~88y6B1`yXtyhpMENe$L@;guIqv8`mOhh-}BU6^;Xqe@7q0)=C}TS
zl6U%jtLmwzp5tFnJymtf!aE1&%$<Y(>m1UWs#NQHhf5O^^~OZGHPcx<(HNiJRj#*Z
z?wDEg!kL?Aik-n`X-}&$-5f8^bmqVp<CSV{qFJubY@g{IjGwowwbn2%zo=CnZ&w?2
zS-i5aGEiBxeWq9$>?~|o+qJUxs&mLirFN;XrP&xSw_4Tu&Kdj^zFcr^c`uTX{NN=s
zlq#t9Nu7bI6423}sVwgdj!MES^E(5a-p!o_wQ9XQvw3=~)LBw$x0}_m={EEe`!&Bh
z(ZW6~8n2aFE%*_h7uHL=*wf;P=_&QcSZVx*W_c37neHrVmv-W-naUxRp~}+A(Utj?
zm7Vg2>ssYzYr_q#dbu>VVf<;MQ_TheZnQRBwRN;vo@%r<U~i$blhs<exd8}nZD53M
zn1C1XIejr)D~*-mgVr$qinVa&3^!ZQ*HxF#n;xso=`5_)C(3&@W->lkj)A^ajs-3r
z2me0-{=XXjzXtmWtZG(i?~0uTQ>AKirn7!mV`92iKC2K#z)WWy`+j}g=aqrY?U~Ya
z<)q4bjZv@9%Bab5sXg5+kB&7<_3?_qs||uz^jDo%Q~O4c!O-LS&O&1{vV*|gxxn4Q
z&LD_ZX=k%ERna)yIqSkky<Mu-TZO4+dHvXQwbq6wIzEkNt1#JU(sl}zDrk6vHh4_5
zS9Dj0lKu;UqZ^s%ZLX|B0r!qP4#0UJp$9tSg^a)e3^Us!jEA>trce){2>}Dsxpd=n
zyRmh8?3(h<Du_S{Ez*@`urx)g>xF7PP9E0Gbk2zq^<htgGfov?0|q+00Br8KCSbx;
z&H=*;Z$?{HFf=Ip+BcnNd)k7&wa_e$6rjuN3S%X(X(NU9^i-|9t-Wumysj`jJiL8f
z0nH%1n5d4ox6v;fV`!$fub~oJ1hNjHjhE{6Mw_xuZ+(DqP)M`*Qwin(3}Y=$Fgt^L
zchyE(QzdjQi$SHpfbK5Opu7^OWs+Og_a3+g!$0n*lEBKPjFsSD(P0RmT3OgRF;1=o
zpJP8a$KeJ3aVT~U0_j>0OsAA}mLZ{ZZ0X-+-E~xMsyq(|<z_V~mHpJ{Ko19L5AE(9
z;So~NAMbm!1Gk4duoyeQs9%gk_z8cti}1rJ;b`Y~mD}ZJ4J?H|K<9O-PEwngD$92C
zHkRsb$O3dIQ1?e|t^!n{DlWJv|2Dby9zWMQbL%rDeQa@D{|4CePAaZXraZx>r>5)U
z?dgR2&m9qM!;{(SM?<YnC0qS4Z*@gyZo#VRoqAQ3zZK4)Gau{~YacXgs$8D{dq27t
zfSJZr4ue*(k4+N4sn_dwm;iaplM{_y;OS>N^QQIzc7h+!h5|yQIx<5)X_uNi%k3G~
z5<rH1BMctRbWVuUZZvxPMp%WLaUdQ9mV7ng%0J{Au(H=L3XOd`RQP5X*>^}59^vr|
zT>2ER7t#;KX!E~JcK#v2PB+oN16n>JY4HmaSq3wdK<%GTumq(EYj;S~@AQf^X*$&Q
zjhqMH5Clq5T1dY%g_Il@CQ*mpnmkp0poFRNLqm*sE4m<69&v~WIR;ub8M#f2)7)(q
zm1l&hbTU#jkYvOHssx4<kc+}CWak5GBnKPjtt$vV;G;?A^<grDj8GywA25_?gFc&$
zlzY<1T$r)pJQ!qoyVZ+U{st^-;Z;!UJ8k^@R^><^sH7b!YD%||ekuCL|1z0)d$^BI
z!pSS4kf{@1PetAsZon-Hyn&>Bp-p>C%<=@v<_vMD7Jh1t_WQ$xYD1&DtbmDGKpRO{
zt$PyO^jnzEgo$)>lQ)oL19kDHJbXReKz1(BHgYf_XkUI9rZOWN2H2#`l80Y~+sMud
z(M%3z1dP;@dD)#eVG>~(pOCIwpK6`A>{R-Pe+l4$&o=qQMk}+ugrPKu7XmDv=`6uX
z2Ok_`lGGW<2>vQRtPFG(Pfpir6y{g%Km<5ZS&0-}J{Kq|p-};wCT5Z25PZ@jvm!cD
zteh_pOK0c;HtlDqa%4woY<zg*1s7uQV+S`qD>{q#M@qWXPn97uVhvwKYH8=m-g+Ts
zwy0Kxc~q&UfpKy%*2R3;K^iTpWx!ZN<T9&86PiP`l45)Y#Q`#}XOP)oKQNDM!fJ-d
zh44=TL~G*F8KCffJRYWN_>Ei(wJQiG=K}{po#nk#wd#1aJ##DlU{9%8hevH*Ku*QN
z3iMa*FaV&zAvPaa+3C;d2MRD1r0FqDm8_67b`b)Tgy6VQnI})jM<(`~P+tOp)h3PQ
zm1#V;H9bZ}pxlyRY$)`N^e3c+^$(F7c{7!jvBA?m9tI~*pL$^v!s_LMBTiFb=1sCT
z=2OMt7cmasl9j{c1z2L$<?~^9G>UUYf-BoPSL|vwifanRsEN2Qj8}ljP^B>eVc?Bj
z)iVsln4w_VMTpDa+kf#*)*%|>+#!6A2ws=P51o|`;X+S@rHdlm{HOBs`IJk{S<q)G
zRMbhlB`8tF%3YPa4UZsD00jTYn`GHO=k{MoZq4HyOpO5nxY7Dg-b>XCqSMMQlh?y<
z4CRpZ@JNQ?KL#(!Dey~dR11L39pp4DFcc5~8s-PM!wI4e<8CO#tUoye9z|by97Z{W
z;x%Ph6{#0W1&l|mZgD*YAJJ;mU_H7~FEpAH<)$=YYmEXA-}1UZ5h-=#b4bn*`3$Ej
z+F6jhump2xpX7x@fCRD2>8vfm0m&C*pcoLP5y=5&nr4h)>J0FxCHW3i*I5LHoCa*j
zL-;2Rl52l2syEmg@~!BIN9h!n+uoJD3%H1p*8*QHJa!Mw@Fm@uVL_4K7T@}~*kTPC
z4=Wne%<Ed8c8MyA0w*PH?PBqbh{UKLr2JE>`zV)RxA2Fp?r&w;&H=|)Wk?qbE-_Z9
zP`UL&g~qKHD>~{2lX-{FXZFm^yo!5vyBrFItcCDv5ZfoqBELl+phkl%MY>SDG#~Ka
zFj%wU16&A`f&eLjXnoKTFsi5{_!XC&=`n{R(C51+Uc;vag;HU6wFxU$wSpK=O#3L+
z3o!kaejxU9IgI3NWED(h@E@A!6FFfZzr-%^NewRy##H&R5$2Lwg?6PZNnTfIHwvX%
zt+A&t-74)Y7fLPY7@g}BCd%UtNM&d!uhvZ!s)x^HJ-jq;4=G@mJya59Cm?BFP7JRc
zbVC%=yd3#Hu$GKMljPs<X$L<2yL|cqJh?m?8<0dx)?z4k#4Py2f-#9AMHY$ROM!+5
zX0+{+wACeT^vR|Tvd8!gG`E|*0E0OfvBWY=6oaX9_AHmD$NAMnQ>G&oxo|wcB``BM
zK2cL~?OM4+4%sOi>-&V$x<SCejz~7)0VVOL6lLnLUIrYG(^O$dA=iZbi7eH5_u~Qq
zat{DS3D1{2icJ*ZJdFL^<nf<LZn>;sv2t7G6^2#_PD28T#%XdVRzvAmlfdN($q)#|
z@y4X;Eh$umCWvbMHL4UwSe}qh8!ULfz;vqRGO4051@Td^;97*VGjHu$(L;PRyYvsi
zE_LQM5@{9WLs(>p+zbDJzfquNiBd1op8k{B?&pK;dVmXWQZ1GS*7v^|Zos`-!W(cb
z!QmTS>9u~(2UEg2EW_A*J_#uz_|EM4e_Az}p=jM%L@v3}HuNB{drkkx&~5_txd9?$
zgWu5#Z9{<gURSkREL?nx0MVrbsul8lsH&#`aexL1$lH)a4gr}(pb+pD_!);Z6#}k6
zivcb}EKRWJW%O#tss)zlNHOUg;;NEd3iv{pTe1dAvyhcoOEcx^B&&K;o{D5E)E2w2
zu^Q@1$cQ$Wa$$q)z*_ZHi_@WKmQ@Qf2{n+XKq;~lpKy>!1#1=E#36eSqL=;VE~#+g
zpzE_A2Uevk6Pw^W4&sOK(O#K2X5$#<7mv3Kh`>ZHIHsIa%r560sozPVAzQGWA+nh_
zC-9*uH@Y3dfxz_cz8nZASC7A}UTs%PwdzgfLIMuhs}pe_EB=l${%+68U-BF*!PX}<
zs`Ez2u95o&MlmE8yHJs2huqZys}zypu|y@qCNU<eC!)7P6e|H>pB%45-C!+?6$SVX
zw%cab)c#oxAO-oi1V=9%mD(@McJA*dsGndYMb2t=B$H!{kT^DP#Lj<vwd^*Zo=HEa
z;1H(QnvDK)tCZgi>Fy?wft1L-p-x6y6PI`Zl3@uF9kSB`zTgy2jVpN-Qf<Yz_P}qw
zgfGk`(q)cxq38If-vy5P&V5`YoWRVx8U-8>YaF5ii2gVRN{jvsO50{GbFd)GCxH$Y
z0QwX@(Et#AvV$zlfOQ*Zxdu|bN2ynjU(ZMwS{};Fx~!b2XIK*BwbcjoLT9i;)UE}5
z%;rF87W$$aC+I$?HHG!((nZ2;i9*{8`wN>Jusam-d$FPnDeTIC4WVp|WJ0m|qiG}`
z;u;|wq~A#D_UfNysXiYn<;w>(v1D#s`^Dthf6CswLr9@ujp7{nDON)TMg?mQq2s4y
zfX)8Zx{mX`o};`(RUktp+D~Rj7A^z|{3`?QDg0b01kstOP|1_R4Y)%kya7k31mEcN
z>Y)<3y(S79tg&kHi~X!%gA*tZtwuxaR<R6wx+l~UBPPEGi3&}!#kUwSaSEbH*KE=p
zg_a)cTZK?R)e<F{@7i{8ZLhhX+;$O!W?LxxbrJTbi0=&3>K0+%K$07&f#B(Ib9%%?
zi;)CCtD{9dqL-0R{@oof4-+2blS9>!gNCYW_GZ7ZY;*TpkpJ~oDNDoh5CNtxIgAUa
z^EHj>yTffqj9h0v#Q)6gd90y~1D0wm$Y!L~Z39$c@^vsLvo!6Xx!%Ugp9TxXjN?E~
zE=)i&jeZ_=`zD78?#agaA`aU*aZ|a?!8NS<Cn~msMzNnu=_C)Z(f&%bfby^$`36NO
zbmsIWUO41lw0V-~JIs?L%u$l1&6AwDU~H1~Luissl756wbdp4$Jd-3&E-ZQHUXZ@B
zQm#$)aE^3#&ZW^|q{BNsN?)T+N)fFQdInPp=fvUgl86SoW)PmYQp9LrYyN;~vMuAQ
z89;$UF!b>UDV3dj`YNQwhKS;KHH%oleq|E~_J_%&!-7l-NB<P7$a1X4nmc65s&&;x
zu7a_UW{J5Tx<C}?0EdHJ)5HEgOik_w0_aPzJw2oUTMHzFEEE?!;s0DrP*#fk7O0se
z|3?@8O#eqEN4UPeR0ZlN{)g+c)9dN!Z>uhXb1&dfD@YWp;ohsUTDhRs`Q`Fc+GkR|
z$aN@xLu6~T7;-n)pLT~bdkgO?xIBd?uDq;1HQi>XIl-|`yGm_#yc3+4BG)Tg!%ME3
zZo5BgwA$Kt0&DlURyAxBY}m%K4jU<93AU)E@nNvDWU^YWO^jNHqVSahILVE^)~2@X
z4Ic8wOD2vk;pvWo6^q2*vJ=$*?a$H!aue(J9{gt|x968*U`3KK)|l9rAX6J>%|Nf{
zus<Y0{BKZ)S7)IL7GsA<2TFvDD8jtk6!oDs4*YbQecFtub&7o|MpMKjl}WaPA6P%%
zeIV?PWTr3mF@QMlgZ3HX{184-#7Un#h?4`cyz8h}W5`jNyl!x(jLPR;Mm1^a0()MW
zn8DDgk=9T8NcD51fLe-2d5MU2;T(!jDNv;w{#k@uA*_RKLiw7j^|RCjs+wO#!SV(=
z!>H>^vTUC%fms}};o@--!@w+_3O`4eF+$R+Az?vT_8v3Q=1BcWa@!SK_hj$=I}`%T
zsfCFA2Wb2{+<-eo#2awLsql?1Sz1W?P+PWX?~AT*67^LkBMx3<R_vcm`Ovg=L=PM%
z3a5lchmw{+`zBBQG16nhw7Pl98%WMA9LH#E2sfZjEhCwcZ7Dy=3x6E+f-tE;UO40n
zn>OT26LNnX^jfQwB|LeE09i;5m4!N}t(^?F9Whp2PXpO_S+K#qyb{)In8e%<*@JRU
zJog-7!Qjc%*FOn%n|vCou@C+d`OaxH03;l!*6C@$+9`}7_(uog&w~`<sfm-N=~{bq
zcd0gAHj}YCPijq1O*NYB(bld~vwh=q15X~tohjr_taXSmnk^P<V=F>DxGeQBHP4m|
zI=;naDdla+chR(BjKhjcNLb(!NXJP;9|-axCN5!H(!@zb!Bv#^LHi**Z3QJ<98i2F
zp98MUQc%JXHMB4U2msyg#)gJYLBGHqVCsDTOg3vOl<4uTxWP?9!op;;v5W2|gM(<w
zwZhKo?lNwXMwcZc0r@MCno9nKN$<C#MFM+_8LIu2Zf6Y}Uy%3)?==k7jWBA$s)4b<
zEE2NY@!RvX-#SaShyzDk!VKy^NiI|C^Rp~07PH|;u+U1b`8XRUuh0l!glaS33l*{~
z6j4@S+OVDqjU`^NGZB`w;RNyBWlPkUbm3N)gZU9aqc9t3z;W)Hsny{s4T!Gj=s%eq
zU$oft*nYd$!Gm{NQ|0mMWOaPz<t%Ug>%an)w~iKfAyzm<=E6VVgdsn&P_%pxzA`|9
z?WyN<0F2TDjz-J7rYfaY)mYnS(2)0x{bBa$7^?w)pOD~{jNqqGg8iTBP>pRPa2!NL
z_xzjommCWflf&UZK9=EOq>5j2*QBv)MQ35*;al#o(@qm?UC|jvDa#;Sl8u>5@*e2J
zs=R<B4njjWkAm=oTn&y658a@uMTTyEL_bZp4>B&sB}x7*xj-$$AES79C*!(5Msj(a
z?0PH|Zy63l7j2G{Fj=lwlE9AZEeypCS!kw1QGpVXLxFwEG!#KWAUujDtbL{^n(*e5
z)yXItISt5#6XWRdLayXie9xk2cj6O`qS2?>iK1QE5>d2PPa<d+<Xy8>ba<m@oe%WY
z5~toHy4bkG!VDF4VA83{u%9XpJEU)bBjtAT-O<)6v<mJmQALEh>OV;}rFP^!AYFbt
z5)SIUOP1~TAyK)b%M2zn{;ANN<89HL+y-~^eo8XT6_*Q6Z$Ab_0l28`yaP-Y#0ZN&
z&Cz`z*q|p6$eYq)B>q6)!{G+pF%sT@BT$2HbZON3n{gZOudSNm5L6%qFtLp{I9>g3
zXg=Y%+`$vZ4Zk<ig8(0PRqF`?DD5Qwh|F*V0b~-3D+u7o&O3I{9G>h<?K&#85=cle
zHpu~zoZw=DVl{ayFlLtG07r*Rxjg%fjSP(eyaNY`?k{y5d85tOhPOhd8=e`X&HSsA
z_{+XRc`qVsHt}cnK~DU$7L$gAY{F3=A{R#wJ|Iq<?vuAuv7?>4fENx89RgLp4k>s6
zl}OoD!xoqM_8e%EA*k*6L=hBy@*pTqZa0~4&*V$~J%Lc?<%Lk32tR)M`@X_YvO8(u
z>8zy2iSbw~Vbi*T;o#{KsW>1)-vcx#Q~894)qat>K_S$hXvGkw98>mMvQ(#^$3wx+
zMRK6nVzT_(<km}Nzg-w83^*0f$V;#qDiI319pxQnI)+8<7L+CGQ})h8adYL7EbwH~
ze^-$HAclJ_6g4p10u)OjU+fRFvA+&B=D}~gnJE1B!Egg^{Kgw_;5U5J8~pY~tETKw
z!;E*aqh6vHZa)XjCw!F~zcFr@-bs(Y2&KnGoEciJCWl>4DE=$RrJyiA!br(Dq4-0v
zL61Q4rlJIL*%DKNtZ{b>ByYeWkocxI0(o4RFb#t0A=#cyD2{>VBL$LiBa1+$e~YV%
zF6(QqDrTIcUGey`^imf~wQ;nT6kXj{j3c{1(q?HYag-O>h<QZcLI^rJnBq$6T>aE$
zKFhYSt5#`NuAJCdze)#6S}0y{)PJ;;iFr!{>0u{#)_LKC>S=PK&09oIVBR7DijtAI
zdCSY8Nj7h}6`$z5g+BS_EsWf5<}KIP8l{O*Ts|J1sJ3qCX8J-mzNlmKb7xYT6#3^e
z{k5cQ_bSJf#;l?^QEg6@+7)%y0oM^YV~{RLcXO=4o1-;HU>uy-yiu0wv-N(HvvAQi
zs+5}F9BjYmIkVQ!(*Dr7;d>=Bvd?xDBgs8jjWyd@st-MzM5sV@@}-_kx`-DQQxEyK
zN&IJm#CyQrC!i4UEeh;?J=}mB?C}O1U=QE;z+SeK4Sr(PWT8;a_{V}hY(IMT@gJ0j
zR-^9O2jhn6V|=rZkGiVW`XaO#!JbR_Ot3d-S{g?PS^L5itium72g>THMp7huwU(lp
zyc~!KxpfQvxfr6@PF@GRohA6^$SAXH4gwcAK)v7XEd_&jan(x$gTq$<W?}oYc;E>R
zzNQ&)B_04rzgU2qKoHVMw3xM+6kKvP3N0K2A1%8APQC$q#1De!g+p?u!AZdjfRoY#
zD4C0clUGBN3{GByPZUnlCm)<-<aPrm|5%A<tvc2$HTU%pQC^leES@0B4=O+0R{?TI
z$I@_RH94b9)KbJ9d<s|QWPA50v=*&!!hazOt;kZHC&p+hAi6v;R0792-bnjJ;pp=u
zSF*!V#Zht-R%5}@K`Aaa7Pa2!Ky(4S`H~@N_J>LE?LmS)5cHK$C>DagG2DO~g7O9&
z5ES3^27<ods;O&?lx?@pJ(P!5qizVwxMBJw9|XPCRjr2igbE`BbqSmaLG#~Qff8ru
z_pa#VuFn+Of9>_q<)$kd41X(bTtr%hYiN`JkTIxjmca0F5uQs%Mf>0KQ%GFq@{|UN
z*InU*#CxjkO0`b2MmQpqfH+$rDd=S3QVNIX<3F)^$TTZt0(-;Y@El$^5)KPK034Pc
zNJ(8B9DWKk$>8u1K2bPKpL}qbk=qR%zN%H)T^?;Wx{j^N{plCw1Y^TGC4TsOUthsr
zvrlQr_q3$_&?`vBQ)P~verEYny^KI#=8sZSDDXNxs3zg8ho{N1oxUF#m8_ABP-@HK
z$(K56l;KLTMM8u#O`cyN`Q`$<9_)B26pF=;e;jVWjU9Od4(y0;bW^G)zh(<xPFXcs
zFiyi;k@2-`*s(@=Xf^7_j*J_o5%*!oi(J)eebKR_(iw6gG6T(mi5<0_zeynI+LHac
zu9@0(^6Q;(91tkY#RSD_auU=wODJts*vblk#>a+&oMF!1G>~)RR`8~F+z&5JgnU>>
zyf5~1X*$S9kdPtrkDMN{^T!frP3}aTZ#|Y^z~)1;Gr?ja-Bt7*fQ^(^HBfQD<^gDu
z0h_Pk69qQ($p>s0xu6$jOS<-Hp-6EX6ObrxZ8Hm|UW)jzr0{!^Li%J=*n>+EFIEDm
z&g;r?FXBj6q@`Lj@m2iQh^t+s_w07W{{hzPPR1{v!kl6>?botY=RJJ^4)tN6knl0S
zAn~AOAvT9ENL0)wORySBzY707*(DzWgSuZz<3_RQQ7N>APTqIYra+zN5=0HzdA`W9
zi)urV{$SGMNl+Bfol1JtZ$RW|Qvb<h+&RI9J%Exo8MPjMdAI>LpyUlW042WBbzSRs
z#!S7ERg>Rp!~#mpx!0pp?n@E3L%WIKfE!6NHkd9+_hrJIVH)mgSGAf)7vEwO(k1b#
z74rYUGWHTgRrsZdLr5Y&D1=!7ijsc84Y3m?=?8;uLMx$NikQ`pHP}_c(YGl6sU;yQ
zy4pEk+@jbO4d%6rZ@}i*vO(_PsHxm{TOBY(Jlj2uufxF`Gi%UgF>p`g+o5Rodm1}X
zik)|Xa>MRv%*_`RJG|Jj4?R8A5fsG~R7(Sq_rZ4@ufGx>>E1gn-SnyU-HrlOB(Haj
z`BaJ<`53k~L_W$Jjh<oj?T9$pyV`llqu?<lbFh0{WuQ9xd&TH4Ge&<YE2GI5u>?C6
zSED`e5vAA31eKguJ!(vmH=@C9kC{^;R6U8i1P3;^XG*B~>p?O_pM_+GE_~D$WCGQL
zsn+AC_T`S;l-obck)*iw=fPnN$54MN%l1h+K!BHYKA>(Zqp>+;p!?d#xd$`TCdV=v
z?V>f9ydJbl1$<fD4LZpPBKj=-+DCzS=&?i4e8_|gfQEBZHMC?7Qf;y4;MMw(-K)h!
zX*rycYrQc!@YHAyq!FW`#UDbSdx;hab@%iR$|ybLi1G=b1Ju+1m}|8Y4aeL>DJp=d
zmXsYeTw35Qd=urxAS*2Pb_qVw*c*MaBU{X}c6$@$mE51?$*NO!MQzf^d{~dFMEDUi
z*rhp;J~<i2)gx+1{D<{Cd*R$Ub6l|)!IL7+cSZ{Jsp0xWso5;;TUV%+#>zFAm8swO
z9hCgUZvMsSuF}*Lpv)0^$|Iiay{=HLx2@y7*A>P}?eWTJ3$Do?!S_(fsi)8#?VHMV
zxD2A*Xl`pyPu0rXRD0{Rwy{3_4K8)AqbG;soA{E{rsmu{zay8KeU2>E@A9SMdUC%!
z2Sf62(=Rn-*IlccVHBj;M(S7%m2efkn|@pbmP?P?yK<;a2LD1u?H1q{!jrQ<OeVb~
z$Rtms?uAe&cIo$ya0Bj09dE!9slzv(NZk^pp{&PA{HA|m^5LCUy<NjNy(v9>M?z@s
zt(37=+wLeHW0C2C^~j09S{TK<nO3XCmQ&4ZLXZZSK^CGU{xq5Rg)kG{9r+9+E-LK%
zt#AWwVd4!qgbCkxglV}FCiC*+EJF1&tA1->wK!^IFgTY`{e&^t(SLkn^j{kU|7q`w
z4lzqvy>bsim<TW?Nxr&L3yuo69l_D4)Pj(XvYuFq7Zhy==b21eN2&Nvdp{%C?chRA
zSo&c;@Mmz`syJs++~dRI#jXLkG)&1~L1o6d^XW&sGXgDsY6BTGWG7Lx6o&#6Hf@<v
zSeQ2JSJT3kg5CGH%k5Ao)?GHj4Y-wyH{g&nd}C<1f(D1<nY9VT%$elSM#oY2FR^O3
zEP*zNk@jst@~HceD!wqmSpTIVuMN}cW-M<Y$qh#!=xyN!vNI!FASl6$dFu*7r18;|
z<NLzIX5|J<sjLP*9c~~8H?WOpAeG?8T>lj+-wKl&<b^}!uxUf(qMYhatWuUL<sl;4
zsXiKRJ7TQ5cB*W=EGOW0s$pXX4lVWym7zn;fihVhbgHQ|WOJ(P!<6K3s*FI3pV~kM
zo$8Za(UOGsT%x`bc1Hinv^SRod+70-7eJv{zj<xA0k{6}1{_L^Zww_?esew=A{u#c
zxP_!4BvwtPl<70JNFPbtk2Zvpl!sQMZp8|7BZFeSEZF6sVx`hxDAv4FPZ6SrkEY1I
zE=)xZrDDWoQL6NBF>%HfY%)`@>yJyAGAZAKk`9a69}F@(hm>nAMa%l%Q(4y!RPn>X
z&xZ+i+Y8=6k}nHs2-xDuH^WV6);Lo0c`LKRkDr8z&BzZuPGM^0Z^P|mXNulbe$E8J
z^0MWoGq9{_&v-KwZs+mhO#nI%hbazn#^H5QzYMP%1)b0DJrPdmtV^0H)YpV5c)SKK
zDAeUJ&B38d8bDX5s1<G@f-7B5D-s?d$dZ?a3GM+)X2LBzE-VSC_uIqd1{vZ}Zxhe^
zgUt8MO4CWfb$ag4hZ~O=ChJJ$+4S818YVV4NJ)P9joeSd?PO<)-qb94?mvWS?ip{E
z9cDT%3n4sSya}jwAxv?QGhM3oDYMda7E!(^Ou=J1T&Yt;u}9T4OH_r)vtTW6mJ;T)
z3tAl6KO$4EKkgcHbbx2J{}Epdb*IRkFPF#;-O?15n8zz8Ur3ZlZa|3}BGqWYL$2b@
zFwaJ+*jCv|UO2R00*Z;PvZ6mwiA-Tp@}gzz1@6|n1)5~(dN0H$nyyEmJn4Fz+-}YQ
zxehOrrDr2|nY3q}ublZL5HZM&=CCBmpS*W(Uu^c|dzJJKrR45)u68EwNsbgLn@8o5
zW;Ce|Z&BT*%JEi3QXY>atGw)`v<`M=i(IoZf0UX;^V{DLtwtiwjp@&SE=zU#d$d$0
z+@Kr>5eL<NF?sgaviI4u;S}e{JFyxo8}1NG1{f_WP0jgUKc-}fszCHZ|H<sgM}r;l
zEG7H{6f&nC{+s%~7;eA~jd%kNXoPQ!poX@TknOON?^`u>jWV;XFh4|jXf^6yN?_bD
zy^S6O7HWyfX&-b|t3fdFEk?>+f@ns{S4G*LBv@QPZ+<o<ZP}B|k+Zt4(HI%PWsOA7
zbq1k*Q)vD1>_V7Ux6twilH6FHFy2;ddpO)&cGfsr?1E4J#r}<9!h?KrC^vG@Q0}OR
z<yNbdC0Kcga7HX$QMq!s?TC@<Ix5G+F4a1SiH}R^Rbg^F*pFG7_-KdoIMJY(`t&cH
zpqqncxL-+|`JA{3?$e~M8m~G}m<W3tYV7CI=#mb~<`B6pT13Sx=??4xn<c%B7ml1I
ziN3=uNkSVXTye9czl0{)Ea|WCiO!PflW&&9$n9p9bS(lub**WaQzdy^VmJF_O^UoT
zC5Apj`((E$$+EOg>o9#Bt-&R(BL(~~CNhc%2Hzq?ry?|=knQ<Yu=!w{R+jH-|11TQ
zPCD)nN@aLE$p>WFKD&9qW|W2ekBb-vdo~bV#+V_fhU5%E`^g-suSjmYraGP(!WW^C
z3AX$*gonZnxcxV8zyTugjR7Lm4B=2)wrTH+u55Yy(n4v!v?{i6Mue}o)-e{)Mxue)
z&l5cL1K7bQn@q51b@P-rkOZ)f{M;kL4P<9Vw%JpX7k-esHcV=e7Y_NtrVaUu0;y;B
zo``6Wx;fl-#8`C=QrUQ!P#|nN9Gqu5ADxkUL$KSy#JR9_0c2++&asIB-#+P@CEOgQ
zBuDZbBhccfHjrYPk0F82QM+MT0LQl&5>T#{d=}*#J(L*|V4Dg&8Jp~-=|AoYc3zKT
z#LoM(ZEJWfv>$@6oK<3e<l=zhGkGs?WtQeg?voTO%)lo}e01o9<L|jaa!xq(v$@W^
zrre%x*5Sxf<RH#EsM9aE%gq+M!l+#-7j`u!$~AtKQHi2Kc@$3m3ZzJokD)lgAw<zq
z!Dl7?4)y3z{Uh%+4AqSTYNHq+VmwEM>~{S2Jngs6k}ahs+>V0-CV`vwljJgm*k8-S
zVsaC-1LN`)EVNRH7bp&Sg+>4)R6DEcLIoQOMT9djO;}Hb#u6_$DYsc}H>+hhM3>%{
zB}I)%SCI@XRt)K|!w~6=M0Qj)WdXAvMR$}O4voB=OwNOe<^51fom~b}Mi#<LV8Oq`
z3-GNgI`axet0jD8_<jp3kyUyp7`_vJ!GS3MU{&Y0(MaA(M&AEW^8BCbR<tv33XVHG
zs9ByY@13eu$E)p`Th%FVCLASm4+n;X7zC%YY22B+CXG2OItvRA-*Sh&TPnfC6`f&Z
zP6mmQf}Xh~?}0vu%DQ8KLU%~a^bC>jrLY`F=QgE3p%aAg(`okUmuRi&O23GiZK?6{
zZ^;F!?jtaKdbj)%f;4b-e>xV5SNFq`jzg%Y>y;$1<9Z82ad{S+VFiDPTnZ&Z-dr0B
z>|3Ux2nqt3VxuNZxH#7;T<CPLG(fd*(UR4P<FAY4$v|!=kUfC!SzK%ypJ-f+K6&C|
zJTx>cQZ2acKIUdPu<KZmb4%7ci^_Gh&#f6e(Q8|0OQl?!>M|0>qMI@vb{-y|0cQwJ
zR%_+vFx@T;j%*lz9py(0!QnH*&VUtC(?t}_jjebW*PlxdpW(p(wUT~#X$<0EC4fq_
zBi53-=dF}^s+6ySp^8&Vf!J|v{We*ub5CDoLa<SyVJ#IOT)=+iyWr^`CX?=#-E~En
z!m&WbDsmTAV};b_71uBW<r90scAWgU>ar$3@>UjC%!s};yLMl&Yr3z|-FD>%%1L)U
z^?pB)5VDxo{Kv%vW#h<8ptf0>{~YC4e6Z^DqS?OG28#S&#swjDlD6uia%;R<9V-_~
zHNg3$v07Q1rpc*T+GkP>$wS!k5cyY5fbd&Ec!0@r{b_nAv%f8wtxZ*~ysSPo-DWp<
zOg5UkN^O|*!f~(qF^#R^C09+i-JdmDZF!z*OO8X2YgNPcpKRD3$vSN0Cs=}=A*=Y{
zm~QqAc+OoB>*F-w`6yDklH2Ud!9a!QnV}GyIA&#t9F~O=3MUVN5+UQL!AYbz5>Eb(
zej3y;0Vl-}3AI$F)&^)u3Wt-zm`DaD;Ut^+1>oe_&~pYS&%q}OC+XAdz)9_HX1o`>
zx4^QSg;sT`Ez;$Mn0*$0vU^2gk^fA|&bdzCYu1vyqi#!+C!;2yvzc$oLm=jlXzK1f
zd=4CD3ID@M$wG>luaDMY0o@QWZ<VE<2m__C^TFm2h{?A7vveDjg_DvQ+3~buBq?Jx
z7M@OCkf)u4mwc%&I!E4~w?9a{XU%9Y6pCGLzAfB<dpVFd;8>KxH~I`uzw9JiLh75W
zn*9F5H&-wNdYx=bs&`QyT8+9BQW-b=u1aVou0FM0)p}N+T*7Bgzy?i|<CukMUzl3)
z*<Q0(YbkmS|C4dt5Q|YRhA6g^E1|YonvA&vCYCi4)3W>fDo9~<f@ivI;o{+(plQ>H
z;VXQX9hdl`ne#rtti`14lAj@AaNInnPXI+rQ8kUiQNhhlS78a3#`j~{xnMDYF9k24
z66pk#*u|ysEj&Wt%K?0%_>w+(@Fgd=n>4=dYGnCs)4he6S9B4-OpxYBn*D!!I1XX}
zY}Qi1rWibP8&p>2cL_}uA}xUY>K@*&Lc;GMB0XA`>XTa!#BMf+q*?*p<&IBSbl34l
z8Zrt^H%P8zho*|7WEiWlpy{9#7lxA6jw$Pn4oVkbA%UvdA11*U2MPAT(Tz|j7LINW
zH{gb&ya5Ls#W%XJ=7*zIt0uqL&k7tZQyyB4y5T6}hUuX6(7I4dgrn!Us@0sQ_!id#
zTmomp(cE{PdGe=n*JldtYkEC&x#@}q#;=MS7Xgf2L!$(Mtbp2P2^gOk=e)#K(@y~7
zPebZQagj=c$Lp@}!Q(yEcBNV`VBQaR@G^*=t&o&;avu@}NsFAecxZeimSE8M?`6j<
zTca5TE%Yk*0MJ-EAtiWm(D;kcBn!QM37;r5rcXX-%*gEq8eh|b+sjAWjnN(iU*&rK
zrmT=m+km3e<A=ic_0`1E>{D9E_32JSqSuiOxXR^c{ZhN7dKrOb%pax7P!RS*F7j@D
z39q;Rn=ISu`@vB+&?F<5y$);6Inu;sma%aIoBsi3$KuF?!wtA`ByYfhBk@gdaOCk}
z!Zb5GD>$+M%_mm)LhLrJxerJFnhuRMidtWE9I14M{0iBMmchi4+VZBAQ3`3Ot{nwe
zcFokT^GYsrF*eBof!JJ3P^>230mjS{Vmmg~&<e1|hlc{5hq(fz0iF}Lf@ft}1u{LL
z0NKtZ$l7RE3XM7>+qZ6zP$%|tX|YKQhkA(I7(L=5{`XxfYqT?UUO1r$+IVRoNAw*)
zjucomR&gNb<<KMpIk(~y1v&J|2XYv>-GH1eEwPQa)n(vMLY#}cfjE*HKfvjaW4=Ua
zNbz@uMPC9zzBAlfCwWp_yY_}XrRGk!m2hKyAKhK-L^n(HMp=|e|4HfzMK*5^DoGgG
zyiu0zle_)AqoQ!lGK0x>T+H#dXzs3?w|1=nl=x^e`$Ljpu2^1hf8D)M6o8G|nLEH_
zK{O`*G#mU(ut85OjyI)k()8~{{(86pH-_R3I4~5x@nI;CdDhvazn_oq%%1<ms>zQ#
zVlfo95gnZQ4`@E&I@}nFal>>LJ`D9<SGAf)(lM0MPI3=2qX!u3@T1J($<EZSG1PJ(
zA;H)r2Ly(4F+s7Kybc&MOBm{y6l*RK6dN20I_|=8I=V7H4M7cWg@aHqEJQbWvE7K(
zN&IDBp}ZG22JNiwF4qgpL`Wo+wV2c>auyE!5P3%Q_zOh!1}b^9b7%0vq0!S2mEZ*+
zDk;8d<l+$37HE<os;lvdA}adiLsX1hKvZT+x;knk{$i<62eJh3w?+*!3l>>Y;X=9_
zVy3LuL%xq&>Yghp9F-K(C!4~`QW1No<lUcgiIhk^F}J`@P=s5FDI^C(9^P!SW~Osi
zMu?|3X97Fu6^Og+SpXarox}qqQYye;5%m%J6~_Z?PmOex{7)&|6b9`D?(3xZEt@d0
zxMJCsr8<At4{<khAZWPl`C_wE=ft>C6?}~S+~o7iB*$C`s93qJ@(M#s1h;QCxJ_P)
z)lm9X;@{y;2@&La-kQ|inL^!NmAjqPz1l~e!j;PtlFBGkYp$Lzvf#^i1?dms%eO;O
z17EWJ#OB6nrE3=2x-ZzU2WRpoqj2V@!wtA`CU3xjGx3eC?i#M9SkklD=)jr(V%6j~
z9C>kO<&n<fseL2Ng=|L0ikphR3GF64sT*K2Hkgh{_e4U+aIyEzu4<F;s)CEX%K9mN
zRIQK(RMkstRT&_sq09VpB$4fI;_Xs+aU=Zf#ZLN}4x7+Uz#N)!bYw@I*^|aaByjJb
z`dfr(<04+6(h2nwuxaU2ELoHDm(KY;p@CcqY!POh9D&WTS%2;|XwxblWp%(5@gms@
z%`=<>a=P9Dbr3Rbf{%b1heKTnvDM_OGXOj9CmQ23WCzwdNdMYZs@7-7aZprk^6PL+
z<=UzbL6Z8+t?bN##ZZc!S%7jwDp+f7zA)um*_Y0qDhbM>jZt+|fE~m{$kX9FzS=v8
zk91C=rF0&*QS9@*2(}^@rWCM%?Z|BJubg#6eJdr7oQv%Zk+XTT0vnn_=b*WN2gS+Z
z;$`(}yIQJMZz`*kE)|<$7hYqGl*ikW&G7{kudighzC0_h$uqG8+cBq6pLb&NEV&FY
zil-nKiWyC^!In}R_T-OEx63e5d1e<C4Vy%n^A;j{EyOdFym`Fz9Xg?j`oU)FYt#qZ
z?K7Kh|11ZSPGjo9kqk$3i7easNWV>H63nD?19dI|-PeI$5&iYN5&L|Vn`PJ8ti-WN
z!f~MAORQ3U6Q%nxeW!Zr?i2K08v2vi2N56=9kS&D*5O1|jV;-aR9oyhWVL3&8_m^X
z(sUS{WNN=M1@14Rd5}hqh8)XKX)lo@Wg7*Loj6_O@bZbE2h{EF<fG({EBX$4K-k8&
z&x#5F8c6w31EvMz2BrCRMZ5k9=wR`<kKq%I$I&M{+QsbaO0JE0{mN!;LUSx_>Xy17
z*ETQgfj{v&lFkSF)#|1%ZI**Bkox<PLVaquK2d5mOZ(Qr$!D$US{r6*czn{j0zLU=
zbXRF=3h*WS5f5Bm2T{xRcKe)VW%dW<aWulBX}_3;?4P-c2#4-B=DH#KhAh?hqo)FC
zi@4edp2@#Wj{R8n-5tsc1<MrQ$d9lZ>W@^g>|E5d`~tye<|?#ys9hibLanAQz%N9H
z*&k+a=MDjxTCCcV4|n9{_t3Z4Y_vnd4Y(s*ya7jq3*YGUY7s8|-a}8IOaH{=!wF$B
z^{Kozc@Kady(wdPHH3YR1u7C@gwPn6&Pty?3U$Wl*KgQ(DZyE0*r9~fEaI<);K;vC
zo?RN|nVas5XczU%#Qm%A&k8r-mL1-JLw4|uM|LuwWm~iAvh*gqyf6x)C8a{yXtf&R
zcuq-K8FWzz$ysK6F677h)s&)FhdJr)(<^BA<D}^Ba06~B;te>Y2;X?5=wS5f%7Jt4
z$has>W!YrcbvW|-tZJ>HopphFPlBWVGvz-Orq#_+-awKYjw$E^;RdoZBY6Nq$P6cV
z5xm~|2Vr8fas!~Bin!D0$1lPS<lqLj5p8M`+z4EMyZC5RIV>p-@xn4tA-%Ug)fkZU
zdg<TdnvV;(S&7-G+svRPMcAd#>%y$ih>i@SWb_b4Xg`4^v{pH*L`IQ|1B!R#D*z#8
zDR!|kIEfPZM14IGq0x%3ap>xfR-7+Zx;o3Zs98GAU6HYH#~bNO$ySuNA#!!J*oj4v
z2aqnd1#UAh9FiL?d?I=T;S)LCQ8J^2PXecpRiH^0JE`Imjh)aZPwa#+a=Xb6e-@sk
zPuKIhji9ic8yQE*nj@~pIdB=S3d#5R^{Rm^sB7FNK#db+^kaM*?w>?!lJGhhl74|K
z)#t;d0w>ztw;aG~zeoc_p~`Dy@3RL_6z9n8SdA4tao%>TZO(JP*H3uRufFB|(0?*J
z@{V9fJefalfkLryk$b}pxRDZXz%eVqH=bDu#lD_^hy#0n!K%rEa2kS$#4Xvd_h%>%
ztw!Boka5FwIKB|bn_SgueGw{*V9+IqCK&AHZMeVaHNPFV;f5wV|3x{YPo@16zr`y}
zDYJ&jEwsFWBx-itO=~LQig0t<@I{KEqs8cHP?Asni^kT32@mqgq1@QCq1;+-;eHWh
znY-VbHlEdcBEYyMhtat!HQaW@$VKg_NSEtW>mcSoE~Qt6$vzl@S(^W-9TgrtD3)#e
z{5stIT#D1?Ke6}QavvW1xil@LjlwxZn$a>UW=hY)9<Z5GgBOmRDT%(rOzC!7iEm3q
zV5W2{G|6U4x8W0=DbXk2Oo@@(%}nV!^Ukqur%Q68)KvnLNt1WonJ=;jW*t}iXB{dd
zyhtA((;IQ$92CrOw$mGB**-h|*dA32{YT$!tIY_a%NVl+HQvIr>Q|6SD?+C`ACla5
zO?N!AgnOY->@49k;Rf75f;Zp*68Odd5^ANmyBl%;)vDM6h7tbW${BOqh#PYD-%9Y*
z4`Tl-Oskuxyn!V8am=9p5N;qlGqTN~lDzN()x%bq0%46?kQWa5!ln)RiUO*~_nwGo
zpn68Q?TE4J8mO}IQdkq?reV|J;5^fLbI<<VbA$zhC)03k4R$-Yqbh7&0NiD}5w{$s
zB*%@oj6jQ@+CYk_K4wO|m)Z?W>K)%=SU|Z}au3QmdMGn2z*cBHp%&K~(Tjtf*JBxx
z6WokzM7KcuAp~o!5xF>^_)K08T$!agk|)2_0u6kk#D|A2y4=Mrl5^6bZ=cG4qb;9@
z<gY-gCi!cWhavKgXtCfklYYl~bg16SdksT1`&Z)rV-^;RJ2F3ng<#)4)&BIWiVlb?
zalaDXQT@i(H$y44y$qyGT#5TdcmdAUbtNvoGMv8!mNH(6`va>wzmZ1r_?5Wdr{wuR
z)y-(8D{+4a6$cqacdttBB(B6wFvoKxuH(Dm$MQ;CyM1NeDJ;=kBQrfi<nt*k$I;<e
z;-db9wszpB{7T#p&`*1IGucy*F=f*)AxHzi689J^6tC{in{8Rbm+O_Z`o1f1Pt8Iz
zy~FHeC=qh!+E8HMG7Uvg5X2p3!i0-#^Kc=)2}8JO$?9ZmjQkIXL+DCee9vNI+o5AD
zHb$R3u`wPT%DV&OYJOjAS3CNw<bm_M*@VF^Rvp;fo+-f~SJnfFP<aFCkuVRu;=P>3
zTXA<s%eX-8xW?X;rTX(~N({-W<@MBCabF_4>xwdk<AI7*<i%Kx6;{i1E3T_9YXT$>
z?u%R}`paO~VkSUcPrvU55<*7Pngh9*pv)ZE1+~r69Ox<Ta5YtZRQid&zNxjrB_Va9
zmUiDQpN^${CfzUj47NN(KE(+TzAFe3@HBz`v^{jH^>N8;?eK#hUtr6}p~tnVVSA7b
z+t;!V8+iaruucAo4~{8k&%oyovydpj=f7j2mE35j&o#AkqZ8*ut7~z8n}rezDSrhe
zLe^1(lt^(Tr2Jk)ty2S3EyWNCwN$p&F(DEAdWA8O3`|1G)N65%F9=9^0zT2@R{AtM
zkaC;4N-5{f40`qeJF7(P@a<~B)uhb3;M!+FD7#k_83k60&vUz9vzp{Z4O_&)N;DR)
zAK+(Rg3HaN`J=RUbhYt3kV8Gd;`dNGSUyXZdLj&vg3b2Lx153Y&n62uOJ-z;(u$Gf
zO033$(zAba#6*yI&yvv&C=|Qe+zdD1UJc|8IM$@_jV`a+UR}DPNk_~I5<+Crv7-8N
zt0uqX>jA#N?%ZrEsxPKIv>J8iq%v;!os`f_Tzq<tt6D9>CceeRCztS<b1&@@S`TBj
zFHEhtr`PP&T8hrE{F^v#h<rU4LloP|=}_A&&BHvw64MdLZA(vt8*$I%^5LADX)}nd
zSKD%vowb-0Uh)kjY>0fF(<d;ZrKy@q;XD}+f_plaV3~Yhm7NO~6VOud0xFSSK*?R)
zo~K8kNfxdADLzqXNuNB>l9P*Jqr4Hz=PL0Om#VJm?m#jte0gOz;mZVZevtWuzY}*?
z8qO5sCvQ1r2gSfaA8^1)_>k*iS$FSH>EdHeFYnhP;m<IHyFiwD0^Eye#&aE4-*Q9e
zcq45YMfgWZu4IR&ilbx&R%5|a>*`xAP11U!Cqt%Qin~5Yum_T^fkLs6^sI0LZb-@-
za6nRg(;G;7wN;Z}>}Lg%UP*aqHR^_>j2otp(j)6aEfJEQ;Hp;hpW<7Dq%MIoA!+Ud
zX*~cocYUUo-PG%$%S~4_INlvME&?38hDHehc@$8`EP><I(!=QCsNtl87b_P1@6TyO
zeJ+=&G>Dw-f?Mu4vK5lTPW}>!g2csWc^B|_4whi>_%7Ko%h+gE0fWGNF<<Zj;IZ^V
zO7i01@x9O_gU27hCkl`0lMfy<a=U@YTlJe$d$!Hx(rz%ZPLUrD_x;tYfr#swZd;-=
zCK+#)E71C(!{!~hT&v6<rPfd&_GK>h?ipox$^HMxvj2NAE*wm}u(N2Q+Qcg`MK-$p
z+vNFwNWQtiuLnzh9}2}{$zO&WaAQf{fCEe7o8Dl_rB5|$@>|+j!IF!i`NSHZ8%r{7
zm<HX4B_E<g<L`@(C6&&Q?;u-o@?v61ZGkfxGIni2KD}$EcAZ-CG#6tvzsWfuP@9Vh
ziq+)Pz?fM=ZBI?Nv?8F%$A^NR&v6Y%13j@<-EzYm`?)k9WE+n45c#9%As0aBvsBn<
zXP(6iCp1ADFb(L4z5~#a5~~I)4(LollMLwGh))#g&?g_zVdQoLbgovHsP+uzT+$WH
zk@vv*LCzERZrrDP6i+f`RxZbVMNm(|=;mdz?EhYl`@)%<DZmL{j{8@VVJ=t`+-mn1
zP!zz8+N3LP!{vrj{3#6~#jbxBY|w+FcvISbP5-gH9}YL*#!<Wh2aduwJ{*<pa@+^3
zn*7)!7Dpv6#|>>l{=d+C!h5)J6yt{JFMK%a^{#3)r=;U3rJdw;$c!G~sNZ+Z)UI*V
zZ{j#0aFmM)iq+(WP}?lwDEE~{!^-DM6vak|0*@DS2B)E@tk>LfBayY3G$!P@<0z^+
z7XR@d5wA(2KvjQ&J!0XbRlIOQFU(>hd?a`Qs7lJO8oD@CbtW{)P}MW=iJ~g{<U>`A
zTtHQ3OS(R4z)xJr2PDetI?aNqx8q(SDcmF}q)#@5J-8ir(?!)L+^4mr)M{;MmiZM3
zaLrcs>v7MHgL&@uOmG)}Kkkw4>WXU;>2y)|;qCx_$H}s=s<>GB99ims&iQt;ir-@L
z7+;9nkSuedp74dZiru7+)zFnpmH4;9*H5<B&i7i{H42h$PN6S!%ZH0TWdX?bP<1c;
zi?|^41yC<qSlH*m`9j^tAMu_z-G{!z{h2t|=;DG<Wjvzq2))zdvf35YxiIe?p*9)j
zHKA|97MUQ7#Mvu31JkUdby~(>S=}&kWwx6_{{rd?Im5tBq3?#G*>4KH9ZIpS+$cco
zrqFI!gCh9g0lxdiXCW9SL8(k}_B2WC!|)x4F|WZ#`?k<Cw@#0-EU3n$LVlVU6(+&a
zPRSqe4pEdzd7gLv3ZyY3pGL}t$R|00?ga}A${g^!m%`)c9E^3^#iH#>x!|tCy2CYF
zA;t8sGp0X~mFeWGSc2_6(t43MsqdO>+mJ&nQCmee#+glbWy6k*$fBb{G(&fao)D-O
z;+4Lg$mXsIZvV|6<=|2G|EuVc({bSclcf&mv%Ld6<X}*NsnpHK1IIJVCq~cmeU%VU
zQv4zdu^KBSEz{;>S6yAM5Ir^6HQi?V!bMS$4RpZzWv2qi;bo_*fP@eluvUm%Owf?$
zPobq=B2PjQ1Kv*G843v%N2PtN6ckDSjH`Dll1|%O%neZ5XVN5*%TN-B$fjt4M2_PY
z<OBIg;E=>{SalKaFa){Jm-nCac*igwj2_pj#_ri{?4Ff%?8tRkf?)y0huPeROtO$D
z_95@YLMyrb?$tiz=VhS;1bv9?g%Tk{2?`-j8A6Iv;Jr9yXd<Fkz7JUpk?@1c>|#_>
zcNRzr&xR8gMKUlEWaP2Jz_HJ71sYj6^KJM<!<qES4i*v$w7R`q_$nSEj9(pg>$w7y
z7j*?FIXPzhkad;Dqz~vED>rMzt?udf3x7OZf#ZT<djBE>dDNxDh5ZH0iGwT8@t>4C
zhwYEYO6~E=Xsdctc?9nyhDuI7g~IUm^i-|9O|`O4YjHc&qTcX8t%98L-d%2)<=@h#
zQi%RhkamBlHoQpv53+3ki-)>Ccp4Q+A6h<`vpd{;{M6;KJ-BuFK{-CI=&)yr`m0bV
zHr4On!VS2WsCfg9C2D-5%c8a<uix`a1v;6Xrhj6}`0uQG&B>MSRD3fK>)33)DPwa%
zXcF=(%2=yy_qsJ>k>B@;*)r}W`4X*G+i1kDI}b=J7d0*4ftfS<JM0V};D4G-Ty=su
zI8hyW3KWVJrgh;4+`_~ga0nB=@d(p$Wj47b<}Aq~R2NwFTl~-#UT0IN&SeaC^dH|C
z{nwIC{I}WskyXm-m3t7vM8Nnb`RYm~y&>Fo1V_6L6tJFHis#nRu;jty_Wt>E=E&Jr
z;E?c_2fH22TuP-O+ackv4^xukkZ?wz#ZPS@gNE!R<Cg1@f_d$;iJ=lU&AJSmgCOfy
z)55(k*nN+?d=C_gwQ&CwZosWvya9)X;~PW6l|?_?$t$mwa~+!gpjEqN3A90sv~P|>
z(?jm^s|m*X@0$2gm{vDqc>_t?<Tx4S*Wm`TGb4F2N+w<eZ^}OCL{l!Tk;}@B<W1Q}
zg&WAhjl@manYa<SDSKU*)F3Y$Du*&-s9cm&J-7EnL_5_j;kF~js%xjp6wPu1Zl@YH
zb{U-Nu3)!=PBoQ=Y)<tBVM=m1RYsu2Pi-KBPW8#ISVO{lE>U06cQ7l^e=_~%YlA)X
z_{|w86zezN7H+_;#JmBA65|^~iIv}+kA}!IzohTXp8tbYlVxeOF^Tk%w2kN)<p(Jb
ztw!C773M|;#rkHj%R$9TrNL0Fd8eKtL=PWL#{W1>MGmE6#AQ*c^l$O_1{EVCU&Js(
zGF5zS<{)1ZvMi)^SWH^7+LUukP_j!WZzWnj2Y>)m$Ndm)WtdpEj`IeR{Llk5rsSLy
zZYMia^rrH2CJ5-x4b$8+-dquG=kelA0N#y;DGqYR;Tce#49^e+?{2h8S$dX-2q(PL
zCCwD-KM7Otm=0X3Srq$6T$WK4CijB1oTV&_RpIp>xqE~eY?`!iAKGr3nMlrnL=6$w
zfh82of>o>PhpOy<GYK*ILJlE$Cl22bd3*FI^1KA{LF!Q`fp6i3(^hZ!lBwtqESXBT
zq?jMK1LVWdBwI552tLszQ~KmtGUeoUv#<7gyo!t_gLb`eY8|W>xx3aQIg%{@0_uUB
zL!y$i8{_3xtI-_RIz-dSc9;@htdzwMovmp+VS8Xk&4cvX`=-j<67AxergpT*4YCn4
z%aBL&%pavb(RIylMk|w;F5woGugOvebk0wLZ;A0z>%fEBP_m4D?H7}0{~>$tS}zQ*
z1uM>xA7C|B65=6L-INS4Xs=c~o$vKC@|LIy#I!*F$?V9Z!H#%lq`!qiCR+9H&0ShF
zfkKqa=M6Y;2fi_Ihc+W^wVU1<DZVp%{?ssG*^xlDK;<fEKH-7fGg8J4)92_*u|h3z
zjq{guXe=gceG%W{gv%v}W(Mo3DBF{qR4l-97QZj=HNROS(G!VHl;IT(r~0Q@&kfV+
z#;Lr4BsZ2PjF82eTDUoF_#%TNjuyM%6TmiR4q<v>>d*_qga`TLP;TU)q1@VF`4?hu
zw@O*UpN9zNq{6ij`{r=l5hK@i%$SK?s&x=^3768V!sJU}KW1qz;n@MBIb;OucxhDs
z0zf*!_zL$?&a`c926W=4a+}|aV(i!A$g<EFBd}3gZqADRT&gJf97^X9`AoEsirLba
zu?K8#+9!G8gs;+MTT3t%eTUhS1UE{&;$}<VfhO5(=^=cgvnBfEn=LVNyO}LL3!&ds
zsae`pZkL;_uBS{;O{FohW~Os_SGlGpRo)pB!=RyUOxFZv9$L5Q<0xM5I#R&@ZUfjP
zCK^0nlb!8d9cRIR{Y=AyZEBg*uz!}~Nhcq_3Cd;|NdH2X?X!zyY(`l#fa4;D!JZXF
zmoa7vsv+UxmuNqkBX#H+(>Ysi)(u^kLZR51!m4lsZa>Z&aDWMXV}J=YQ#jO?ZQA>y
zEBOk)v_Q{kR>c-0G`kpy))vr4q5;~;37-0a?4~fSZl3Z6l0epx?r~kXf$Yr4Hj7H~
z!Vgv}VN!#<aL5-nZOB&?SiQ+AWeHCnBBH@+C){?#Sal6n*?5_Nz!PK$Yj%cp*mnlI
z9bAV^rNLN-)lLLWTzN>H-Th%oa;(KN0xf=O11YBa7#dg%t%p#Y_!dJ0%C(Y3NOW>7
zmgT5<5&&FTa^DJeUXN$QnoZ2yn~64?Uytj)m?yb7p!iIF2H0bk=1C_+VKuq*!p4VA
zJbumrk#pjqpS*JBHRbknvtB6COwj_&KB(KL*tam*Z0suFi3PhF6XjZAXLWZOzeFb`
z=OXzlkf4IhSqp+SL>`Tn3qCvPcd$o?>UX@?FjO}V*sEm4^qXFnY>|@{3Ei}xB$uh(
zc@lCu_P{i;&+<?#w34fT`aa7G6>uyRQC480u$~HyC0^}Dp;>M>tL5EgOVpTj70JM2
z#gL8;NO>4a|H<rVF}kDVaA@S^WD-^=$!}mR)PXcOnOz7kK{Stt>cG3M=*%k=Ef9#W
zbe7uKk*v}?!4MuNpZ#GHevVb01q(Ebj^wRm<c(1B{GaM}l-(|SP_sN)-aA#Rj#t|=
zx2mIi%uPGwJg7LxAUJPF<IdbQY0O#CSy*`ZmOBdR-wmVaWRMui#!l9fya)OqD*Nu(
zLQ8l39-G2)9G%-hpP_QppU7Rm%jl=+O23Gi?UvAZ`M2Z(RrkG6o!%|Kgdn*$F><G|
zP`tVyhR)X<Cqb3#l_ap^dJEjTH4DvjC|*jL7VaA#3hY~^p$G~B;Ty1p3D2|vTexV+
z>f{D&at)B%32eZ|_bfj4K769_G5X|*kMZ!(uvj7nA;HkhF?d$+vG8DR7w;@8*U>(=
zX12oz+d9utcjaWe2-=Nf?3<vwi;$VLc_U<fh8gT$r6m@e?`E}j%Ml&933lzpNCCon
zG>*5Wcen2S9}vYjqa)@Sm__heS?Y-}LMoNOzVw;9e*0%>7OCC-XUUB0Nd=0L<l9({
z6;ho2yP$s_B;GT}|0xuT4G+#aDJWp>$O&)25x&7Uy1Z&TsA&j_j#yL(Y(<zb4ZG=p
zEYn@kp*=o_LGy`ey*nDqxZ!thLNhU1@FO}je)lTA#b|*`_{>BC?fzvCW3?|#tvIjO
z?A2O|4j!E4VzM@}oEsu|;9`hkJNY>9_Aw3~SRMs{A6;pEB3uUjDXz)RsE4-Pn)Oy^
zZnLu%lhR8jQF4dKM6>|osNiMLpTr)q<<}A~oX~Jh_z=bOWL3cns6@H}C3tbmug`-f
z8NA$&PZVC#Cl9>j<aV?CI;zA|TqYcS8MGVv*eG*zSL?6|^87%v|F4h4fea+E*4+%(
zu%;M7GmSNF0FtRvsD{N#7x}G!7Oj86ry(+ZjV$%Q_d(N3Whg{_tK>>{h^jbB-h$Ow
z5Y@W%Sv#i1dZVvkr``vBe~@4gEd2l!iiM@04L9J1rMv+LEX6myfu-NEYVt$5S%IbB
zraZJ7b;DA|4bx5O>p?;-5thEsRjuX=#kUAcT>@vq(%knX-#K^A+&TC^51P$gu|yA4
z-4?GirNLsS*6+wM%uQD`QeFTghro)3lwD(_B!P5bxMv9|7i0aHSZR9#_yM}~^lEMx
z((rP&OP)De&Q?fDJK2DeK19|>3%tO}ufpCith|;N4vC+Jl?5LFD@%W*L@y32Uj$7u
ztb8#(QLId#d{~*0+YMH}US63qidpsrdgdbhHd(Eeo5S=VAjn`GMz}S~KZSGthuzX%
zD77KfJ2u@ecb%(flH~=+>A8x&^>4cYiVL-no8vt!-5qTGEJcnQ*yjf2Eu4P%$Fgka
zqZ_Vk0n<0!(5jb9V;jbwhMdRb-PVSywvNJm3ys!>i(o*u@L}38SuVi>e0g-NS*nj$
zHt5)RgBU{kt3HHN`$i@j;}E;WdmCWQUN4n(;Kh-jjV6^Me)6Y6*)j%J#O2Qsd*yDI
z>^mRNs7TqgRjO-uMyZT;O-OWT8AxCUg#T)ANe!u{U{$f_;MM9DjYe~|So&HHNwU@(
zQ{G+`&4Dyxl%*oqL8Y_gBqMbZjWH(fKN0kR`pE0~IJteKZ{<vLE}{Z(E>eEfkZI0k
zP+H)bvJQI5_c1l$9-xEym-pfm^)K|v<6pQo=3VN$*0{>P+YpRQg1@XQOQqA~bt?z-
zvAT(%#<1C^wB@~LxSh9AOL4+p+|zakD=)d!Y?-C#n?ITs>kC{H#45LGv%?<pGqP;|
z505(ac=p%Qz9;$Sin4fu7T<wFu|bRf3OC>mTJQ!OK?{7-o1n#_^=3_`wCVOSa>APp
zA<T#76SD_*(1LNpH0e5h!hd7X;@fm+{CyGMV$eeA4EYwa6>WnVw9wLwlc>wJN%7>a
znc8*U_c|A2weSV!fLK3sF+s7Kd<+;fOMvIN2vaKp0(^idVE80g0XJY!r=Fa+wFG&O
z=nvr@HnGtUQX=8cQoB-U)FC6cb%V^ajs0BOZ1OA|>>+Y(^q7l@^e3pa(av1W3nx@T
z8!-**h`s~Xks_-`OT#*WoTeL~Nd|Ok_(XvYeewVu!pQArB7Kdz1-W<o{Wf(6b;K@2
zNbwuk+@2}n;H-z?R9BYu`z7~*m8CO%x+l3(T)Xy$J*DPOII<lsLZ>NAPL#7m4Xv1(
z=|4$rp)r7$22~}Da9$+K_WQUfe6!48GUJ~*e#G&%Xdd7_Z|z#abbK_KeYa$o3)%!X
z<Gc=v0>Dw*_y(9Ph{nX9W`pkvHt4}pyeVx*m;Zp1`@#*lu@rB>fu-<`4@-f}v(6^{
z{(O9A_WVm$O@90li>0uQ=xEF5q4|UZabqdQ4bx@#u+*KdYBj&4V=1MbWCoeh11$CH
zu9@03miq5F4hSseVuE5d*$=hN5|%nP)t*Zv#fFE1j~8$bry;4~t#En*Zd1~>E>$P-
zmwkouUfe~%b}lg^ArV#9Vp6Bbs$q((j>dmtH`CB`p66qa*b>E2yl_G>Gzr#_mEZ*+
zD=ENg?BbBssn8@tR;S?;MOO65hpZU6fUL}xbcNJN6t{f?iSllAvmn1wY#}|C$`$0=
zC@H)^Qb?a{3M)%R6rz$h!nN_jN~x(%9)#<V*_mr_nN(an9o9+Ch{JexOD3d)zGy-e
zO1Swyc16WqrM;uIa(!pJA}_%@?c|f!6(-7)rRiFGl&&DqEN_fQU$^=4%~xH&dG$Kb
zlnLwImW>y|?~^qMLYC{JE!Y_ZCqGO=x)a{41vSbyWz@2EqbX}GK)Gsbw8dVOM@#Kd
zPS!|atkI}J`AbT*7ToV;z=<`~f$8}?1MGM~>Bae<Qtv26+XjN6^ULqcg#E`L{`Im{
z=UoTz3XMI!d@<(vV!uY`#5jQyER6l!WHFJ<av`%~<+jQzi~zM@^vwpNNfoQ10ZkQj
zJT%!u7I;j)FlpMGLR09jUp4p|O$z1S-^WVCbx48o74FXP?-XKQqP`QtqW@$v|5ZWe
zdyw;OP$)JEc~`grH*)3;IFK{G(QSk_Q^<H&{d=vN{MIHGIor2(R36bTVBU<geB4p_
zx0HESYi`IKW&>cS*gKWJ6zpqoLY7K{c{;+W;G=}pEuepx^7h>@B{@z<U<8_IM29iL
zgkg;KrIhzt*5RtKH%;i)GUI#EQR`Q;$G;8s*rQ>;WQ0b|O&4!4Rl*W2w}$Zs92$mi
zd>V!aY<iO6Xbj%$`KmBs8XAt(Fl=9+o4PgZDbQ{Ld%HC(%!Ujac2=;jK@Cf#!O*Zl
z3H5~ZX}_5KzcNfy4qaoU=G3(nZe*I!u|fHr?4kO_?BQgvhaTM;qvD~T5$ccow8IU!
zb&EIP&@Ft^8{N9is>xFNS<|hTQs!B$xpgbdh77v(_F!Lwx|K?Up<4@A<5WpV9skRe
zxckDi<j^TbVosepQqJA1SzSV_mKk4)K3cz;ef>(XuO99CA{CH0?RqHOfLptG0}k!N
zHy-U;NT<83*U7jle{1&smsV|-%xBjy-b%Xv`Z;Bx)t+0&!pz8^V^2ES<ek}iP{&ef
zFm!CLgop5Ca{Poa4LNj+k(N`pj+PqZh>IljYkA^pp<|9WX1~u3_S>UpBTy)I4t7Pj
z0k@v<1{`{ZZ#;S?GfM5Fav;Iffe^>6noOzFQG9O^;&UnUtk&Eb7G^^R4SPYbuR#q<
zrNPj!`Kt@khtX$K+HMcikweQEc{#Q0_?Y-&LfcljO9_?py*4@V*FjEr^zLm`bmIKm
z2g41x^^P~-&^vtN(Ypm0jb*)0x;OUH?E4q3x-4DD?%h};>CWwQlz&!pZq*BOB7^Gv
zIM~^s>ZQ_PsNO;v4Hr_#|1uf>`!Fpz)Q^#vQ~kPJ>0j|QQzXrC4RZD{D4Knx|M*~o
z9-ZY)MMYCi2{+)@S>Av{XYq|kXX$FbFPf5E>A%#f$z*jNUum!OyQ3)=LA#OB6vl=u
zl9>K2rc1h_{Hi3m1|n9yT-~k=kkc?P|0WE=u}u$rb%Cy3U&{kzV1SZ$pXmp1J`+>I
zA&Y5*u6B*=h+E)MdE{l8Jh+29z!jZEyiNt3)la~wJ(iFt7}mM4S7eY&wHx2ai?Btu
z&@+<1gQ`1pCGf>oH%wVClC3}iJM3`r)V}qOHD_GA-UJ^3OKx$=ukPOl;JifGay3JC
zV6B7nuU(~TeTKXWimLMyJA84w<2Yau^401yx3ZHaTTqIfG>HO4Dp+ebtYHfWEBkGA
zlj;h}V@i$z&7OD@e8;mV+W1JX7SxV)IcMwi7+W(oF40gLQkaBQezjc-H_wej5&&K9
zmuVqg)*>A_c_-2cHxzPGMZ$t9rn*VSF@!^3`f?1N19IYJ^=i9Xs#R|))BGHJ@s}OV
zA~_%Xxnl7L8H?}D%3|_<EV1hH`7l0;a>x0*=_he!I)3+aSqK&9aef*LtrX4$G=;n(
zaZYe$uyfGZbgc&YvGfXoJ7z@60GLX;J$A4&h;K%#?eeY}`?aP-r>TYELJ<}#>EXRs
zmiAV6P48mb!tzZpO{P?6m3B?l%4`Jf<9by^0_*x$n12|}82vO_(}<!u=g0N_8&n6d
z(RExezA~_uH5D?C>s8Ce5SqZHTPb_g1wCq27SwHVSnuyBasE$r?~>`T-Z`g$C(%wb
zPOyhAElb`c4(m;@#&cM&<GVttgh<A9(!T|*wA)Zf4s+d-R&$6voWfQVkB4x)hRDCr
zPsw-TA5%><J(w^SaSKJh*}6F1n66C}#>yc7?R8Wk))mU_@!>U8Q7(s+Lv%7U?+VhO
zrl!!zv@4KBRc%ol$g5>vFvMmab8W2?bJ%44D!EC;@aZt{x=j0JD<~d9drpPwJlcb=
z^p+HKWOl~Xo&m-*q5k4ellUvFD*eRc2=W83FQX*-Kh<@JJPAH_;W2tOp>^Q(X81P9
zB&tJ<LuP03WN<!M$wR^?@^q4qL(o7i)#XvNZ~kbqdpZv#O(>L@-s$jI2gF&}y(d4r
z*A+x}@g8`yldsIv$ryGoK)fj0Wq+70|3#jb-!NP3ebel)_uf36jAAcZQpsNWhsoYg
z=V|#9v&G)e=4LPWUT!NAUidqCy2zOeu_gNietctCY>!iSe77O1H<M%4$y^k?vQ0s{
z%Rf0~U^BY>=g16_-no0I((mdsB(W?z)f`5@>kE1>;o=9OI**ITSBAg@{g3eJT$;t7
zQW7XWd8$>VpLos1A45s>f12CH9}g7=nM7SY<4^_{Ka!`Dd>n!-HoZA#wE3gS?#uH~
za_MZb`^x<64!QX8Je`bTcdCnT=V|%I*<$bR*<o)dPbZ_;o95#0&eQViXN$dW%*$T#
zU39!G=ACfL@6Xdm&RvI($2W$__V{?mcPFL$c;&*RndxLI2EN^HIo-Dpq>N}b-~Q~&
z;E+z4e1mClg(A)NqO*3GrZ*c9;VQMug~oJyYMS0>L-#<zOuxOS4A-9V!sUrVsXno!
z-l(rvzu=^xG>+E=uPf{>)uzj`)Hc{T^|bB7h3hL&1#VFspKdncQk5mDuxMtyv8&vI
zo7S2bD=o3FO^RvN>!AI8OKRoGc4K$B$pdf&2syN-$6DnZr=fEGW2>;ITB~8G!lZV(
z-mcb`XvAoJW5htHVys+i?4cApXrS2D3inw_f?V>gU!?$1Sn#kVwtin9bk_pY{413h
zXV4E{8440~xOyHSXcEf`G)e!JRiU4B4bl8JCD8wAZbb7Ns5r<XifAN%66Pqu9*_NS
zeD}HoR(DiLpmP8d3AQo8)xpjo?P|MLhT|e9%U~_W%UZy`bI1-uBiX7iNPSS%R-I-l
zfL{nvUXRAF9fYmu>|yrpF*icmU_NdnI5<L90;fa>Ip4@Utw$p>z(z)6l=#I#ce?xi
zc8aaa=6*YuOPLjEvUG|~y)WN53@&WC1@5)oD4+vQ_}wLJt*PZ)Y;vT}au4KqW18~o
zqX!^pVucsl3e|aL*7z#k3#lwwXI5;@sw}M0JZxU2#Q8tX?Sbl0agaUK14-T_JWzr)
z9uMUB?&Qq!Bgem!y(}n`O+&geZAoE!MrA6w^I8i<%<rTsg{NOMr(wsv*p%Ob<DCm?
zL3Z7e2H?Nuo@%R%FW{)+W*LsjkeqY@JYTvj*E8R1$!rSw-V!afL1_}o_9n_$C*;Fd
z@ye#9#=?c&G*8wf{64EXzYb}D?_Nrt|I^&+c0W`cWDr$1$(@9{C79z;H^+D9cP(3z
zv7PSg0(G=$OjpOdQ-&p>j=?I)x7nidH|V0Wf3UGuehVpPbfhFak!f}r>n9>=<+qTE
zL>7@~l>20qD=OvMRQy4B?yR1IJoERgxQsu$nqj2EJSj!y>c}nz&X7CCSs`?5{kaA0
zs5o_!_fncW#>kdyi{_6~bg3~r;&ju*_{UysFUO-uo+L|k{;rRXBH_bfo#(ND4H64;
zu|G^6ohW<jK1(EYZinI&IRUGoZL4!T<`wxOn(q*9!F9|IcGcD8VX7AdyQZh8=yqPe
z?J?>AFwEl7j);&6$9PP{xj;f_U7mA5902BGg0gMoV5qH^DbkcwnkC&i+^LM>(67E!
z1e&^fD3^iMH1Aaxm0RO*zXsr~8UzYUV>SJ_GP&lR_L)>JQpJ{s$WBgxu!w#e1pbF+
zm-eI4p}d}uyw=jR&bq9Qvqf|<n0N&t+}7}tt5^(I|B<EsHd<|&F3%^D03N%lLygE@
zHX^&TjtH5?5-b^2^)Xj6s=NlCgL3(|q>?(W+p>@-(okQ9g;sJ)d^wmMR~qX1G8m$r
zO$~^eI$TKv{~N^j4Ou7w@f{+sg%Tl?r@<_wI1*;PIHFb#v&0YyjZ+5Hk(nrN;}mv6
zGB9zd9zPo|a4_;Gfkt+G->2}29^Xfw?8EUGOj^ktZf+EK8P}99fS`nc=jMcfoP;h=
z-~$QABf5nojTGur!}W<$vsv1=j^$~<Rvh(PVLye6aDp8QF#kfNb&kLR-Q(?TkmCsF
z-__gO?T^Pw?eWTJ3zFaE*?gx^^tq{A2M+*8=xu9HL-zDG)!sU-ZLCj!!zjT2LjEgF
z=~l<8Es~64NKF1MRgUWYcR+6RIkD+1!si=*TbAv-ub*J6<cx(LryrN`=Od@iYdh2?
zgMXn;YFmI`&|kq-u|LdF{iPfk7sU4LcKkUMf-q&&ZpQ^@gv6%e-tEX6aO`%(H@XyR
zr?V|l0?&GEt<wPq^iNDaJS9w~CtX#?<7O_f(UiVtnS>zu3ZNq4pWIuQ8H@b>L(E_B
zP_m!0@lt}5YONB2G(eNm;XHX}BgCI36VC}V(cO_}&_2fr)8*j?+`_~ga0nB=@d(p$
zB~08jbCzTgs*+W|X)<FbdA$&-?To>W{^J{?|C&bc7ehUFzgiZej$p4<%IcMS5W+-&
zF-h{(!hH;UhTD!%)2^q@tS6S@1x4Gzc_x$5rz^fa*zMpZ_^|W?5I2q&2mx<80QZF{
z$#J*<BhccfHjqI>c9OAICJd?)Hf@<vSjfBet7+lB670UmU49V?#k$Lf!VS2Ui#Onq
zGkjxcxPk_UI{~QI$}PapElcoAt9Hv0XoKhrVp;Z$H4^PEf1Y6MHZh8Gw^_6fKHcPm
zMXQ^!yn&=`a-1}DM7V+M%%E-L=LK$T;odsA$7OAp*sR=0Zf-m?+&~U)U>o_lF_+DI
z00Y94sneH-Ne%MCp>ilQhRQ`b)$P3}BHF1o!fi*4Ro70HDVpU3+)g!Y?7*SL9$DN8
zc01@)Q)$TNRR1DONe-vV2(<XA4P?-%KG_v~;EqB0k0t6WVQ2K8Odb0`u!kPM`93HV
z>o-3cZosX?ya9(2;~PVXRln7)Ziib)8p3Z|HCcW~8<R*MN!yP$gbz|4T8+9DE6j}y
ziuLPYmxGFxN`s+T^G-cQh#o$gBDdsBa|lfykQ_?Ih|8i>>EGh=qKb}@M=-pB!6tKg
zabvHdeo2uXlvP{&TNC78j>)UmQndJ<07RH3z>o0G4ioG)0la}EUl!8vs>PFMhMUN)
z%)FIZ;m7tcu^IW{51ri*ZYMia^rrH2CWwEZAEvoyyy=A7dAxWNK*MhgQyk=s!;zwX
z8ICjx4c}vxGHtgfXv|gFLxd9z>yl=AkB^5bc)SKKDAZpM(;OVSqycn=-@YGiA%ZJi
z&lD0KA;^+ng$eEfOBO!E6mUya9~YJc)ceRVxgmz6f*Fx1<iazmF!?%QoLR~gI?}gb
zE0Tpcz@jN3-{4D00Jg%XEFO6YyV$HiXFRaa4o--}bv2oI<NrV!74i&Z{1AD1nE#r%
zh?JW?T`;9AK8^PlSbSsR*s)@d&quo=3u{GU%4Jw+r4S3invTR2^3RY(CvsCD3XbdN
z;q#x)NAV~W>(jfY_K6e$np=MbUMLCT!_GE>L!BCh@n#vfj+S?gl_w_Pz^4{w8?o88
zdA3vPTJFwh2I%SEr$8xnm?UPv@N>|{;RSe2*EwkT%JAxz`!G*FSZ44+%-F17rKZqj
zhW%CpeyfTE^9?HdD8c?u^$B*Sv(cUp6$e>HGv+0~5*hOec6l=99p4qBB}Ou^6JG`l
zlHH~<)Q*fKnnblDh0Qo3{H(O?^wY4eJcF$)yR?PB!86gyrSS?R%3!+QxY#i5QWCK+
z9bBh=Kai!1uU}+>qb?NX9@<N%qTnmNC3~5(Yeo5-)quY%nxcG~672s}R}^wPd>nfK
z+85y4Aj_ztNPZ<0CBZI_qBy=gCQVqBex!a1YGJpKt`>ir!qkjv@l0cJvQWIPUTxI3
zu{<tZirY^82^<pG;>jH7OJHAC6?COO-k5;RkPwV4?}T#&TzX=ya&mRCew8evHhJEN
zDa(HO35tNwnnx+WoLYmg;<aWWWsPtv{4bOABce&ywB*T9D3Oe#0kqs&auie?WD(U8
z#vju_z^W!6sl@u`hCE&5V-WP-sVM>H=V|$zo-sEuqa+vP=5KH=`RqLXjN&j|TIU1n
zT4%53X?e0|95xr}$ql*L8<>~AFi#gbb0OkmA6$oT3=86MB#!S+h_k8Ez;q%DfK#zs
zOLr>2>#b86QEPVUeCEy5F!gBCSqVLmxdo1c9^OJf7L#3<6VccExcKTnNfuG}@t)`r
z4%$ZHKHf#e+vz^=l`;51`=-|OoToH@!m7;g^)%P<Pn0<Sr@39nr=a2>d#LM>yh-Rq
zf;Aq!aC~=Sq@2i6@5Gh>&9K``*Nk_hus8v?f>nxrxPKg>Z+ssvMh+r3h+INHO%Hc0
zZ<gEB%{q%Sjq0h}%dbhik$k4wwd5>Q=KZpVjJb*J4_<_YR+5W>JlH~H2R}ONHquQB
zh4Dtc4YyU`VbuH>4Qed#V18v!7%-7rc*s+*Zk8;ZtsdDgR>crGI!o7ZmzwC%K_FO1
zLg5gILvHW^MQ%h5sL=q9EgBn$9PM_5xSpr|);Y9^r$#%5_t0zX7m^EfbkEGf0x`O$
zV<AavVssZG>fj08YS=EtLTuRh2a*y(-wlyxW+6r&kEJjkmq6jj@j&{sjR$Q&jz?JG
z`GzbJq0F=)OGJ)k;4rx%i%pvY8?tT(I@yM-CiIhS$f8fPvmxv1op8GY-J{;cmMnHZ
zirkn*qnxlsX0lo<H;3tb6=s{mXtzfB&Ka;7!-<%@B*nWmt8?!Gyh})3pVSyHw_1(n
zu+|~EQD}!1EUuKr51lLh+$d7^j@C=NV9yr>i0O7Ov<ur3EsE`843t&6IEJ7Tt;`~2
z438mrxh&P^Bc*o14QhkP?4S0Fw1Lzbzd`oiwPz~46HalCydJBuHkKV?$pG`JYU7Uc
zeNo>8r7B=$VbhcLli87bf*tW><^2s5GE;K=mz#ei+<<$vkvHI2$HzAYu-CHkKw(&i
zEwB$W1V^&=*Q}cSa7l;if$d(|lC{4~d1y82&dOul@cS~MmblOBovv!Nh?V#jlg?a%
zXeOPlin2XPb}ztkR^rs7z2-M-Bsx3jx0EybCNqB|ZTZ=zlv%^%7Fymwk{int#@k}e
zG2!O4;foYSM~hwX$)7iWN|^8<pB&1K95j?WDpTm9-V@=>6mn(5JS*IG#K<LLm;7*p
zjN_GR9Ykh^OX*c%@*)_5S<1|KiXZog+>Abk5;WQ2C0u}=`6Sw@BPVVu!y;y_)S`(b
z3G+~BjFIwqTPBypelA@*xf$hhh&(S^JYf<{=V>p-9;~9B*~<&3&DBn4S73_1!;DD6
z8YNh`lAL}-#cQBRHY2(NpXd=4^vN?LB8*&^d*wc+Vhe)4DL8){<}@&M>0)XmCq)<I
z^e5+}NKxXQ8S!&D0yB&&oSLSpF49MO)89w|Z}r1ND8z(<A67x99&%NpSWz(fV3T74
zW7<DUVWfch-9bqV1Lk+gvYq?;Zc?bYK4T;O<06K^M*q=ej2VGyNQ~AJ?I&}jJ}$ZK
zn%a0~1RsGyu`_}%hZ}H%2Ht=JG~gQpG^iQDp|)((-WTl*445A*z%MOS_5-V83j{{^
zc5~H?HxljGzn9>tAF%#5Oskuxyn!TOb<CC)pJQ^lYi4AdEhTy32c<({QiHs3$QL$k
z$X667UEg~mqCx3-;kF|Lw`)+!#>;g7VbkH@Jk$B;&798(c00J|ENoo>%^7>nQqv*o
zVM=oBJ7WY|{L}_gOzSZOa6h#hegzfZVhBLFR`MZ~^W?rWmW)8x1CoZqm8tN`VCQpe
z8e@$_o6TFH{Saj3-52vA7Y7ud$(w;Ivos${9x!VGE5zgz0H@i=P)z<-Zj780jG{Kf
zIFqjyme~3o<Qpp>QkZNucG2biU63SJE9|W9hTCOI6bZ^XNB#;VoFMN*QGi6cXo=vn
zkbZ}Gbg2H8_Zo(3_7mSfm4(G(b@1a@NQxIIjU(}06R8UoWGoaBFVXZve89C}O}ror
z5mvFA)$;DLC2CB%tebyyC@NA&R8tlx`*w6k^&E+JLn&v1`-AWT{HiO#9bXxK-!gw@
zS{?(CoO~CW{Fzmq-#+7dG*4%Lgp%j~R1XJcN@xE$R2*awO(K!pNhFaZnBz$zaeOzN
zQDUSy>0~VlrpInyS$1D)`vWN~$I;>00;oSxtJ6c|qx94C^Z<F_Dwibrx8wqyO`mkG
zDVu%?L2`MjM-dCftNUR%`8PFNOdegYB!L~*TNsM7v(QX;89W0@ggm)66xg>+LlG1N
z!ZQPe3D1-nAY8O$wIefNA&}b%WCq}S76+TeCmIK%Po6j!4+#y6HD(YJT)^}lY~EP}
zx4eOUZp}bYuClH3tXiWqF^Z^QbfVh2p^F$8i)nTp2{Y;OM#B0GC)mA8OB5JMgz?N8
ziWAl5RH<E2sRCP?JRgAvI=aXTxCI1HcYl5pBjyvB6|i5HdLoRC7V|VYFAU+q*3Z%i
zQY-yx$qZK{EgbVyj3lqZYOExIrTWk_YE*_m@}(XOT*QltKFGgK;@=u1-ZPi~ODGf@
z27F(*0e6^&H{b{s;2T|DwS)*7YN7_wf^hD{fX`Yr`6XY6Up-3<_$1|_)u=l$fN{g`
z%7kWORN!t`wT=h^Mg?5LXC?*=nwG{9QPsXM1?%U%X0O&#bdcbuaoi9=0vAIR+sSUI
z?J)}ySSANR5C#eQ-Q3bC^FA&b&gh0V6CJ(+@Cv)LfhQTl_D~wsDDhwhy2V1H4#AJs
z4Kk#WwV0G!a@2WXT!zRI_zxud3Or~jsisXhDwu}67kk8(Q=iNWry*LtoGN$$l}HDm
zL@sVQbr_mtFmeMvQ5Z>|JTQ`z+s$(7A1U#yRmYm8=Dyyc$xCytt0qYD1IiEg)%v2N
zV`-SO62O#Vz|8d1IHo6Z7`jKGmqlxv@N<YjFP5b`PmIA-AauE7yjh;A<Bc?46pB7u
zawR(yRU9SPV>K2O9hBl?<52634nh}TA%Q^IA11-|Ai*B^NuW?H{M;XIzzsin0}l9!
zZ*<p?AAY{Zs>$zUW(9t}it^BE)D1rwH%zCbukQ%8MEE)Bs#bHD;#-8DE`c-Q=hM3}
zN)E7^yFOEB@9*`{<)$kd2!9}MTm%qy4UG~2avsz+OF;Ok>5fZg5%#~~r*QZJE>3B1
zc-<8~IJ~FYuJE0_+__6IoUM?QbMi0}HAEibw8cZ=jaY&~;eU}Gv+Rs!5HPsQp|Ics
zKw;^Cl+eXN;a@?M3=01mpC}ZjPd+Hj$n6FSUoGb*qjYOuG0te&at;?PL#%dex?Nr~
z)5)7!Xp-W^zdVi{NG(h*TH93vA~CWB9q%FTa<KKY6fg=`mY;8WQ&UXBk+Ws8Z0AD<
zFq*fAdDvnIgIOwoD}z`?T&)}_SnHw%*=s(AQK7D)Rm$YE?#pKdYar2~RT}{c5Z9|=
zCC4Du6oo4G9K3p}S(YqZEuiIc$Y!<Pn3A?JngeOXD2qfEL#4Ci22=G<#Dn@<_No6{
z!pFw#|9p#En&S`^fa8!dqlQUy9D~xv&XjejC*OzMb}|8UFyB$eC+a)slgD>(4a~b5
zx4Bi?T^?;Wx?PKtt8f?Qb3DU39bT8wx$girvWcjK)u*&*$*Bn|t@9+g{)T6B@xX_g
zwlCGo2*YIlXxgL~aJhG5tFZTbo-Et{1Ea3$POfNGdc55AXOeHO0Es8w@ERx-8*g|^
zxB+*(fj8iYH{hGz#2Y?j)$|x+fO{zqtw!DP2F4B3fa}&;cxa3_yvkLrHoXwvV!T1=
z40$Co1FeD?Z_qM+leo&YFYtR^Gqvj!?C->JK+No2Oi-*Q(@@(iL7J68BP%BLd}t^z
z*vq-=1_tsZlg^1-!IRqSM39|Wf^0>{`cUlW(pr<jjUX;VWD)+8X<cX!_JB=>7x2Q7
z>q4UMfN7+#s&UdVO(4B!6*S2J%`x~y0S$ff02;!`?PfB3MN4e6>&X_ojd>xBq{0tq
zKG0u)M(a@;oH-?_X|i;2?b;jml$tx?{_2hOeRTJq6U{7911YeK{*%-VI*)%wP%*+t
z=5$%M)8`|iaLh7;$&7yr$T;2>&D}5a)~*#y$48UdTO`9=5GJ_)<q9YYKt}DH8(^{^
z8WVq-4L&#6pa(PYrnF5|{<A}B;Rf88i8tWDO!!7O(^`M$gUqweCjC2oXZHL>R!tUs
z(Qrm=+yvW?4%$B-noqb3H)dkoFdc*sGhOPcR_lw7nUr>tO~{NMV5WC<&D5?j)7#@X
zATX1Q35wNZ1JpK4m}w|r$t7Z9149whDV(=yh-r8$983U5NbB1<s+0K3zCw8~ZuMZB
zg_wDeiwRkaNo^uuM#6^3mpFayDX%WDBD3acSb`y_FUZdM^-zln30?q#lA^0dEe=8b
zJ2c4<)DQ59A}IRgLr{!dKu~5&R?ozW$F;-4Qjsb?qIQ`Di{weCKo0prnsDt3TH$L(
z;eSgC>61-iWvO6#?lTlFMQOa49XY;53&R%Jd1iQ+Y!qID1&(u~KBNcAIT|!U9rR2C
z<(0sy#(#M_P^9Om!wGhya3XN{YUy=_U8TLFwQ_wYCS=38>kxT9{p6ERURRhXPnM=@
z?NNF<9?jLpp!9W{FW-FC^_y3(167-_-fh`<5&S;MuACWdP1UOH5%{xF!b+h=`KFBf
zq}q+9thE5;s;$u$dr=-OwSjU<)<|Kj(WpWBOG>pCEG1z+Y*9NlZh)okOOMb0l$uKM
z+_DRVT)H5JF3iGLVCa5Omg>Cs0LIoH8Q{k@JYVds=$sfQqJopLpPQUMTJp@r>0;%!
z$}5aWwcz*72EWM=Rzs%+Djs=+x1%hX$ot-;aBT{OcUA6oQut~gg$gEr<B6(vT<a9%
zUmM?3URGiBrFvN*ZRU^Wh@BrCF%Mop8w$n7I5&qIaN~8}fCI1N8^eODzW3nf`U$Ic
zKX!=3@X3AZl}9>@r}m97AH5lo%Yz{NI}#lApX;$FOr)EmyaC5d22V&dW#T2_1~l{^
z$%VwZ9+6B4-n;PHFqK)^ki4S#ZQ%xTumRi9Cv=f)2;7fwUzo-q6CB!wQetSAHYMLL
z%*ovSmb`r4DrIR+9wNZHBt_K~RR5Q7+Yy5lGeHaul!?K^7Sq9UX6nq4&fIe(ug|e~
z{o7!Fg8`keQH5DxwgXL;UTDgSIqG>X(q;r&{M1HJ;2B)YITQE*LZZCp3OCeFc*rH{
zJHcfAC({z15bUF8tdE64vEK32a071D;SD&13Evp{tGuJS&myT<^qtxB%dDEr(bZ9X
ztPhAYeiu{bS*^LlSYbARJl{WG-Otzw=+tDeuR)zkrNPuGocsx?TR{IXxxUw?<jw_i
z=FY+Y8T+>LC>NtNr*f?d&sP&lw#@im^w|2<?E39?*Nq-~RPB{eC|1?p7;eC=YP<o5
zs^J@-s%1NL`u$c-mhfu^Fjm#D{dAmh4`rU!np@SvY{;N$UkUa#sA{P+7^*fXgDFD#
zv|mig`+k_F94B)zQgiCs3U}-$p<{#cJK00^i`m292Ycwzt=~}b(9g#9FUlNrk*N%p
zP`P!BH{j4MeA64<IyOw$tm)QDXg6{-Cd`Hmx^-@_uR+~PrNPjxg{v_bDWs17WlG$Z
zFfBQBijkO8r;e1-Q7dkm(5hv|m!gl>uV!DX!M=L5t4swXPP_Jm8*pnEZ@{5l_{O7M
z3u!=^^*RX?`CGI1ue55jR6o0h@mA9P*R7O=R(o#$6=p^T9sBEGZ-Y9PN`s+eb0toM
zCzIp<5T+rAZZXnw>ekUxV;n0F3H@50_*&?g<Bi$xuLb+<(X%g8A&Jwo?}Zz1>ltsr
zp=bEUqi1sCh9k;B-<duCja8E+^VxMQG9dR0$~>zzw}yq;kU_&%Tx@d9Y(1!9sWccG
zHh*<N`Y`%z^1K+PBZrnT@^Wg~@i8lS32j^9E+tgX_uAyd#vms=dUp;Kik+EV6>h+-
zcf0|I-r*aM-YvlOPS*RRdt)!nzL%}KOliy!24Rh)JGT<$pVgdO^}?LUpn5L~b~dPb
zsWcd>w~($k3n}D(nT($a(~?8|7>QZbFa2B06jv+RYGqZGBnu!=*~^5V$^bcS9;9)s
z!vH8h44AFx(xjdN_!)&ChW!lqOe|2tN<CfMS9#Ev;64~g>|`rZBRk?2uyL7K&*s>{
zP0otWB3_>YE9xiU(tXx=D#zD3uNNecOSRsTPhe|o<@$_#9aG()Ne-W~$Tt<UNVY=j
z?66f>+*|KRz`<OjP4E%0;$u)(Vs5DW@PTG|a-uOlLv~=TgY>UmaMS7x`M*%Kvj~2m
zcWH@CpUy$>OL;F$ZN{tZnOo@xkhWW&xs^;p4dne$ik)<eLPIK8YhJdn1<RFvnzTVx
z1VzzKozg8ib`j5MdKkXr*<|<PBh@PH#Ho#2r^i@E3><ZAD@I`wj-OK7Pw|r6anPLt
zU7s(rgQ{ezTn}oJ)|31gX&oXz<RptkE>mJ1{q5%=b&k*a%j(s3wN%3ki7|cAlj6ee
zT#{pvv6SNbZyDczot5w8S6E`z<?~_CR6iW&gQuSqykv{Kvq(5s{U=E)HEByPVKN;h
zAmY5>K`gYAJG#Wx(9Fw_e|}oR@sRH(e$zB*gPyfgfGw2c>>P2bF|aoWGv~x7kWx3r
zoDLaStlH_ANiN*@n?IWUUme|l{ZMSvmZDW(2voq(9S79`;B}oEj;{<rYGF_7)Npyh
z5>)28OyO*+x}au@Q^TJ@$@71zyO~U<hMx-+2N^{3TO@Z9r-mn(<2g0l@!gSL`H&;s
z@qfd|Odl8p+c4udX(NY7A%%@75D$T<L**;!r(wZAO)W+jiXi3m^!zJJd#k&qcQJoa
zqsgO~EnDKZtTRhxpO>#HlA5pmB>6!#e;O#$yX}{X;J^yWzmay-Df#$HZ%Ls(ZYoyk
zDy){M;c`}7E;h-&&8o~#HjV;6E&pYdIRB@*+>@)}V;7jBXv@5~iFDxGAbY6XOWq{p
zKEWD~+&jK2q)LcnTqpfo5LLU4bUmo2ur;F|Oc?9Mg(56qB4R3zH>PV7g|RYvfOS+M
z))mU_@!>U8Q7(rK2ne%i5;bOHPhp{U1yZ7`E$Z@lwd@O**RYnPx!bUQmE5G-^D*eU
zF4KP53W|r&o)1$_I<*I1=`Dq|XMizHsK5BrB>q9GN<Z<M4n06g^naRLhrS6F2bn~5
zh;hhtlJg2h(NTOfJNch^I?2Z&=$e=6@+jIje>5qXv&kGmKMyr_|9-aEJrAhK$?kOp
z(Ot~RG&^}@o=(QFdja})(JuSLY<W$dmQRF2!Rfa?;l3KiBGx0EG&}6wn5UCb>_tl|
z*-QU0*?Uc%mam#E_FkKpz2v*F?TK6Vgc~M#`pCHpvFA0GF5nx(WP7~2<GT%6-I*M$
zPUfQE^KA;!eg6F^b}6IJe~!#n>7BoaD*e7bL&D6TM@vP}o(dm-2h|CukH=SrzyuwT
zaOzx|#h+3VC_s6)Rb`aZc_$^&|7mU?|F=+akV(|XGY)0&@t?@kNj?ri7Mt!|#1Ra~
zZ?gMqc_{hHY_a>n{Ok_-_($?|GKSr$KK{`>E&pz|*gNOa+|nFk?+U0^w*r1W)No=H
zd((XU>O3tU4~1q0LaoWm-k^^^FHavicO5<+-{^w{c70*t;al#oak1mOlhS>>a$(ZU
zbTSnK-)^^@?%V$~MPah}_Ge!PN$WDv2UG3}MVeVgr|mFLZ#E#rRce<Djp_E(G`&%d
z?r4UoetXaVXYWhk<UERdEm?=PwtU4F$0B)*!5Z1?^@+j4HkKt{NS0*D2Oul!(e6mI
zpLb{1GqXB;Va|umfH4*%+(!c8z5)hfFjqJeNM6E&00DwACIs>Vc|Z;@ysGNs>+Y|+
zzW%<MwY_?e-w%2A>!YgwUDaJ(UEN)Wheu^$*eIzr#|D~H%~R4ZxGJcPcIvJ6P-S;*
zVy3Q3ZG&^rr*9vwT+@Im(B(fm(`v!9W&>$qMP_trvfi#tPPK4vpeAzL98=XpK!4xB
z1Z=oX?XI_^2d)A>hxW{lcKwDKs9b(*SN4ogOrWpA=60sp8J`$1m@(QWm;qnKj{3yZ
z9^%-;1DWWKzt0IsRDKJqv}2l1L~8*%T`QZWL1Tc|rokjjLD&h`j5!2N5)p`6_Q|4o
zo>O7e@OUdR7|vSSqIm&S%tAyKjm9UlM##Vu7(YDuUh}BcomAMmk76caY;;jgmY-$p
zA{}v^r9vXS0fgMqH(Na4UPwHj0Q5Y30FganID6Q~9HZ|ZF%~?C^r2@y-lv{fBzndG
zN`3M0oj=>wbB3m3vu$_1mRS{nODk%cY~`&VFk{WMVK#-$RGe=!)9gUIHaR^}Z+kbF
zJdwF_!ttcos`35k4q!)AHR*hZfb&i|m=r(hqyf0F)r7~TY_@;tR2H5^414?+#9TOQ
z=?Ul8P%#S+O*k5x%!HGHCNSZ6@|{*#el(EX;$=aZTpse3=^t`nFQ`m4f5>d5ilL*V
zQh4`OYo<O_Q8((e;W-B5rk|mKDKPh1d&b*!Ola0?tvXzirIGa6bD>CFsb`^N4K|rc
zLzmeq5EeyNnv}9tp}Igs117~Qn-O&j5e*cAYcsyasV>a8p>F3Bd*Q65)om?Q%mPH}
zrqRi$TLzqfx_R<l(6el5V7tB71?uSXn6Hjc&gqtnI<i$J-x0wSkB{&@%NN)&L@6h{
zFPT|HHrS$wTII9fDl$t&OO?JCZL@rkqSzCN7kMsH(|7q7cmT#zk9uUpz9&tGqUi=R
zSEYStEiB2Is_B)R)s^P-aC5BIYSs1)2`@c_AE)0cH&^g-S-6c1|08p#UH!a!)^^l7
zqm7X^g!-v_*3LWw2J7=Hm(-hex(;nyX9f(MZ7IDWgZ6eHZl(wh@Lvc6qQL3&s;tGb
z1J%x%{#&aa4aRR`$29($+t=x`kNW3om|mBcq@`DQ&0r|D+2s$57|0GxZwfimWkcpj
z@5)$!IaL3OKkUxEM|Y6#Cbqzlm=Dp&7<UxyFL?s~BQcVI=SU2uSo3w-)`3*+MT;G0
z4H(;I78{3eJN3rR#>}(WCMolf48^b;7ia0?4|sXjHwajVw*Rb*fG9lWm{-iakE%7U
zn8_WqGJ>>-LX+A`l+>R#h!61~`Wy0Jf;r=UCgybhGwt4Ykn#(YB;XMyObH0nQK>M=
z;aoyeM5vDE*)>l}7@->d7OLgI1zErIT)#f1SnW4DA$&>J)0|RKoxn2z>}7HFU6S=o
zo^}MHF_&bqIx1S?C>|@?0m&<Ho^2P~Z1y}GFa5xSb)L<53IrB7Xf`<hgnc|GB~G&m
z1|2+&j${Y2ldXtJ-nPn&X-lobYG`x5+9TX6+2#kP%a=nTkZ?n}!Xw<9c>?|sP7?6Q
z8Kzhoo=%s2xMcDkr*>x~Fgnp(!ZPDq_L50f6+e^#HhkCQmw8_Oz)AwyvB~3U`zBAI
zI2f6u?ZvQQubliBp4p;kWJBEllP6FD4WtomNM$8MEPucTggYp0oj!EEts{;Uvsidk
z4oO=oXXt%+QeEDECZZ?RQ+e7Eebw`%D*DTr1pJdKKiCzRR5!5AW+&BL9*Rw>f5>xE
zVp0_hI(Ql#$xf=r_<RtV*>fPxrKV2vldWTW*cJxn%{CN@oi|^^6YwjsB;ZkEOtF+W
zoj237J)UVHI}pCksmU2#j6R8+BZ+?WK=?<5p+nTKSUeg96zgMblUc>e<-t;{`DdP?
zL=S)3BKH-ZixNsDm@A@G`FZi)h15xwycbub+1F;)^vn5|71<@aY6ricu=trr3L^#A
zpcE~>KO*rpP3N$M_gkJ}{}3PvWN}$YURDQ_ferSs;OJFxWtLQC1&`%Cvjy=m{aLo6
zoy^lI4vI;tJTk2Pdp^%|->})h(|M$@VeVlc;W=iJ@l2$sU)Dq#WewlZe<r-vuqkP_
zP``lZ;F0P$R;XXi^UQW#b^!EwfBuxG5P?e1D}~IAz(Vp-p5Z<~@_C-ZBLWGd-v7X}
z%K?&W%&3RseD+LQIC(YLIQ_gwigr-wDyi;qIor4T@i<{;(Iq;6EH?qbz|Fa5YIAF9
zwBBx4Aj)cHv@_F^m*3FI?HzSIu`M@LAz{Zpx}}ApyEoK#*C*CCo0m_G)hF~h#f$q?
zogTN6|H8f<O#XxKVnZS!f&uRbn&Vru)Qi8AjfP&l0YW02+rs*N;mqasq!u;<F-GJ@
z5u&jK3oVxxe%~&fxd1nKE7j)A<n%rjlR&Xu8}K<pxXwwOrH4xdrYfVYI-XRhPwuFX
zje)qfQF6t)-oAk*ch`7jGyrD!(Z53<rMGt>H0s6~s1D|5?~OAKC3m05K4`bp!a=PK
zov&J9D7xWXhXCJ~@-B{Zh~aQnb466_4jQPKg^VJ$P9XB=%XCleVv1#M1tPXQ`Kr+p
zqXF#3mw|D~rI}6%!8>YlU^XMLC@X(Q%{gKZ+ovru1@GXf*G3y~O9uuQ>+?B2B~e@8
zGO$toslg%XnsNFgEHZ4bD@D11TIp33OtO03vFLhMlsg;(;ih1>s7q^z;c!+{QIabl
zbL<rbUC7HqMv9{G$|y<(u7IL=@*S5aELsG*xmiIiTnhPW(aZt0pjtfB+6JvuuWF7@
zHMim2T|*SWww>k^xRj<X!$xo}fw<uD^bSC9d)9ZsF*cu`IQywmU7W8PGSZsQLIX`%
z4$BWK0!nM{BfPv?gGnYOetKC*(5Pue{$;cNO{c;z>xPzmofr&fEv+Trf{Iy)NJ|7h
z)&P;5z8ZiL_m0ln=6J#WtxOwbC$OWE*#4DdeHX_4z6|Bx&KA1!HkL%U%dS};1J#-`
z8I}t}greZ3cn$@xC%B_phVql4Q2Y^U=!@VGpYaVOCzVAwd4VCn?uPFLWtu4g_SjsQ
zV)hpdG~QFxo_tS^8&&lX(~T?u(~3(ie_FXWM^6e)E34D}!SqJJjWe+LXwkYv9Mi)4
z0P#pMWybG1VAVM%Z0;>e5jH<*h-d<tjP7A}bW{__IElD-0>LD!^VtC|-8=N&3;2Ae
zvM9}eE-@F*T6*$$Aymx5Lz9QbCSzh{pb6-OC*O&Ya-w^^8(RW2!=;z689Q?z&S(Z(
zr9KG~p>OIW2xaAKRVP6xYrezds8$_ZSWTgLBU<Y~$dB5RNzpiyc73Ukm`eA@=dsZ8
zWFfEzR|Lb1k-XIK({zW{RM6tAj7~K>a6vda)8s);8Z7YU<8(X`7MQ*PKKTc%TNo?F
z>e1~IRSYKI#+u-IY;{&7tX9zHbhox_(4in$-+;p0Oo(D4I~37~I@+TVLjsEsJaHxd
zZUa2%6g=6H++=*~9@)aXK0V!g<Q6wUqd>j;>mm>+=hpwhLYmi1?;3_(+G~q8>0Wbe
zy@ZkmlS42^ncg@Iz*+!>BYOk6FV-7KAngraG3B`{<)Kuf#TR-CTx}0Dlyh1;4mY}d
zR>iV;kvK!O-+Gijc>piXzXGHt`4Rp)4IoJ#)W3cVzivl49wCtBrQOTLL6FkN!k)FO
z-Wj3W<a<9DCN8Dd$HOkcVG4ZgJI5#LtzlZW!lH8+zm7=PI}9Adp-lkISnz;Y_nuR)
zYD1N$Uf+hpt~*X0Jss;!>Z6_ZshhTrwCdAS?NiqQIq=;R6Q}M3mn!T8jO=LDnxl<V
zO$JX@4ANJVL3lMCUPTa|S!MI&Hw&MokhF0dVyZQ4Gzeox8qC4AD|11q64)cn+9aGj
z1K#M+84eZOGKBGvnO;j&8`mpud-pJ^L-d!vXVd;@4>r$?)^HWEmVj1VtV_-D4olDC
zEiw91%w)zF8?$HY*87fZ@#pbU<dSD$H6%9axwa!584wd~df?2PUTvhoaRX@u%1vT^
zvKunRHY5-fcs&$~4GO%4C*a@glmtAn447h0M@G9TR+~%^$NmR<$`dPow^LKt%rLEY
zCUCx3toWUTp+nRk6e!RL&s9n-@g?(JzG{u_MwJ(1-h6_XY+9J^+;vw(jXhbo7hpNZ
zWA%xC<1L6p2Pb`ukckUp`x~BDztBnoSu~Ey4Biej-{r{}-4`i}9*RBS6b{?}InOwY
zlSjD`K})%#0+r@(wo5rWRfY*~ppq{b=NO)LM9*a$Zt}=i!T!n}9aLb5PwCUb$pz2_
zvlJL|e6IPULPO@TML~fOYo#1}!&!`%YEHbQ4y)~n8pN}J*DW(jRHk;I*{h>fVzcWR
zK6yHd=U{S9w3Mn9^@Z4i71WrsW#PPaoLnubw!>;kTQ{kE;VyGk?8Y;zrOiN6td_38
zU$k1HUxC$9BG^Uqdsx}QVnN<G?w0-4#_=$MIZv>37sF+Xt?_z$KQPqT*1ZO8ziIv8
zQSZwpy<pm4u1Cr(m{Puit0uW%WL6(rIrU2^RO#o)1ca`vuHe7hU>%|s8}d30T9)XC
zg{qCzgg)GcQQ4pFXDy-R?MPVh<c;Z_x@`B}Ik#?1QP13NaY95lxGRI`GS+G#C8T<5
z!1!eM)bljjzGY8fwQvg*id`+-$rJF;<&uEMpuiN%ph#CqN4m02t*^S9&#-n_fH@tD
z?QKrQj?ED<@7oUmNg~mc{#!DbhR<YtjOW#lsU(m!W<4vZFYpA4gHdcHmBk`#uzrhY
zmBqp%Ur5@LuPB4{r%owHc*-ylZLmJX(~jt?o()#fU$#xa4;>!lh0Z7U9&D^u=bfiU
zF!*H;T#vuP?kF2__Bb3rx`2si9f!-kykUsvq{NXp!Jvbu(UEG&kM4ne(EXetr}CnE
zAe~y1y(l%=BXP!-LUy2V_7iBPU(Yta#CbMBBzoAq1n5UJU#*pV2&6bCH9%#S)=DSF
z8Eb06Bs+-g^--ze-o;1NSbaQA?lIQHt{<#GQhTJbvo$qIK>?E(Fkjg<z8fw<uaQBh
z*CXXC(8`(IfD$p7OhpTZT%pW$Ymd5WLbe*ZYW4%>UswcUwWs(zEVNvS7wC?)V=UKL
zdONYZHnkipRWzF@Y!QFp0@n~Ph+c%fZ&-irt~;XUy))RfNLAoTO3E4QUlZL>GqNIq
zQr^J$S3v?yufD)|OtPkbXB4!;`J{;_+4mWh?{liNCn<Au#9eF|-TQ80FPzo%7#0eH
z{{U3X0z{!F8l6n&Nd}xi=!qxaa6yUD!%4SjNf>%u`so1g`V7R-Gnl+G2XgEk8DoI@
z<L(x_9VvrGZl$dGK_iRBu&u9w(|>CeXsZ1QRA<U&SVE9p86ff?7K&H*qbXd((rjgc
z`I0n)U0*76#eWy!86rR6oE3q_w@r2hwyjWCu!4}thypc)7m6rQQ?!QK6H)LvV7JTo
z$S_^_$ey%C`N-&3z(>|&M8VcZePX(Iub6OlYTwv}z4^wFrye|FK_g4H6)t@3&kp-}
z&_i*$sO)dtVLwNg>VDu+?Ak(0bu&a|h=Z9B5g~eocC}N--~#bgY^#eu^l(7q)dt;K
zpKFPC0;WhM>#-VVM}2;El^B*n&R~T)u6lfR*_)!q63?0M(OKjP>29!1Gp7S{vNm^`
zdtP&o0Sg5dK0XlA;V?N1YMZ5n&l5rmACe!Ofydym>|E3bv6&)8A$M`MVqLvG+8T!k
zplTEFI8|-OMBT8T^%5*Eo7S=9PNY1Tyi78n<|}sUq=U(G7VA4S*2bdu>6g)|LY#N-
z<SjfK)*c?%B;E}(KhlA6h&1cyaZSEv0y^GP9choeQS`{`i}pzJIxMkb{lU<kX&XH&
z$iCT<A1K12vL)Y(g_g?!ITLK0Svne{YGxFbqbjubGetNd3-LZE!Hs-|v5p)^T8Qt8
zs8w2ss*9AyrQ@h)eUZpr)U$Ov(;3Y!n7@nqQ>a5&h(E($w2Ml=X2(L@J~34r8$rL(
z$k=%M`o7zWJ?^90+y$-1Ip$Y#TSb-+vkAN=G`-ptRma9#)3r_`4MK%rTM_Uox5;{l
zH(j(928O7Ja%GpHH9TLJIuN=jHH;6pkyq<y_p_ch$XGsBgHhaAPJv90!D<|1`7pEV
z1vhEzX*SW^N?t6Bsy67qZRSsAnGfs)t%O3co5<(z1pNDJl7MHc2~$jYEgy2a$*C!9
ze1#SQ&aQE>jnegmp+nRkaw^cUXB=~(qBIltluqzf>)C(8)s;{9?A6s0d!+H~#~V3p
z!P?tzcnwO?TTGoeG}IQ850Di0<hL+$&(caO=>2d8B(>(6Tj4cMBV;Vw@1<GgU49v>
zgy9Wf%g`}cb)6JkN<v#=HMtdrvtwnd30r6F>-B1^XfZ9m$(vAg2a`8MOEC5dTpN}A
z4qGGw^<FCr=UKbb#8g;7C3+r6B`+>e@54Y+n3x~IUu0s^uYidu+3h7z@4B>SC&uB#
zPitS_EzM26c_lLphK<ep9>spWOgQSWr(t>a=2X7Dsd~{q^c2?x86JDLPX8ua1=Spg
z*6CmAQr!ciPg4W+C{MQwH?Ai|k7#73eov!P+)PaoO}>lOIA-b+EiSH&>ZF(k>H;jJ
ztW)ua&G0W-h6ASQ&!JGPX*&N(+m>{UF~4al33yCXOzDql`dFSZ!<?HH)ASf1pP9G(
zrl~-~o~c5n>CdQZ9FUE+C>2K2)F*JZY5LS&1|^RnTe?15XxH?+>q_$#Z6u%P>+Wp7
zC?na|HK_n3pNC$aB_nxN^!%klu?~RopLQy~B!`wfQ+a4Z$W-1l-f762W#k;M4dr5m
zw74e?6m^J9jFxz1CVvrIBh2JcSvWJ?81jcsVQD5S9KcN0^H3^#ac1%@KvI~=x8g4{
zlj&E;Ocw0+VkSRJ?^}$}RTK1RDts$<Y#&~phG4B7GoAXX{oNiNu{L8t+gQdcFuu&-
z0@kH~7ju|rR6Oaht8=*XSxX(6GJnL19KSt%w=UcL%%j-g4-It=F2WK^{lDacqRUS(
zMsBtHzTw+-<7JO#_sl&<3f||G3Qys)VvZow+)j|P8_@JmdpCI-a!rP63eVvyr;Xr<
zmCE`&3XW1aDYn3UF&cq9X426rc{x-%OEYDxHY#`00ig*rQ@%p>lz*lS#he&ZjH&>p
z7%f3*rx{bs5<Lw2?wI)(;6uzZKgC}(%h0dDEF<-??1{;%+O^&Fk<L_~cKdWp*fZm-
z?9gasauu9hx*vZOkHZ<K#<1O{JfF+z7-+IPd`75Sy7)iLCN0+e_D6fzT6mScBDDu@
zex97C%g+7&N$+#X?wJ{nKxY$8e}&#alR@M9ZyWO`Xxw~mmVnpdu}~=1YjF}!!0)w?
z1Uy~~OzDr;;sU28TiQ&oz^s@F=MshvQNPzhpka^dCVy%Y#|^b(eAODO6O|Xe7OBo8
ze}G`%;9z?#jKG?#>E#Po9Pb&_p2HREaR?~?fDeQe>f|@GXZ1WOW~^1N0og-jH2jV=
z8qyOrCvJsV*4>GM(=#=Q2K4Me#b(z7NOC9kHpB%+ce+|qKZGq1OX@ph;m9SmYCG6F
zT4vMkGVC2D{QXaXq%d~ghQG+zp<e-GClT!SvZUVHR#!x{d*5=>=FX)(nmd}Ou(9*e
zxn=AaEy^=>&IziYuB3X>N!RbGwRW{vSJpK5(ajZJOJ^YMUA0CtKWT*_Z@{NmZQ-q)
zdv)3F9PgOa##w5C?C!{TQmgjK?fEC2q(H}?HrU_LfceZD_U!iGK~XSr(pw)E30Y9Y
z)SouN2UvmudrFcrE&vEWF#qp70lz&Z33%)&ObOXjAoHTJ*}4B<OtV{l$kldDj%j1q
zAhGro(um#`SODZRbBN!b5@^`7M#!G}8c9L8Ev7w{YG?9QgtZU$)agBg+Os`%iVs+$
zHzfkfp7Mc^LY;gBfSDyP(i8IsbZt$E{vm7XV^RbBE|}Ds8r}*QZsAq;#!=+)o%m&6
zrM?%BDT{;dVwBL^6-A3_rAn^Bz8_4kiWUK7U44{<j~cf{7S3pf(Se3HNnrujm6qVN
z^Wv<l2_Pw~t4aJt))oB<SyzHxu&!)MrbZepF1k<+Gsz(SL?yEe!i~xo!}-UBbY9Ts
z?80Qh;f<O@`sH%iI7|iJm%bb9LKMo)=2?)6xTqH&PKYw!VAmvaQ#C`%HtV1@M&vYe
z+3>SYns?AanaZkT^_{huiOvXJi%iko=!d>)<NA%8uGzS92=rpiN!z?;9em$80j|e-
zbEI8I&FM_FblD1|&a~?zd!|}Y6kk~!0c&frws&=9$JEpWRDW@8qFo=VOwl2m5pn27
z7as*^>48RB3To3dz+|Hbpz#K>p~~>^@OG%Jx)Ld_9KwH|4*xuH<rCr86Y<a0_|LUX
z`nQAs4zFA_R52Kv9B+<H*IT1-_1kJ_(p0Sj6`nTy)TfB^f#xmBi^NG)Z79e;wPuqU
zc(>F{C1Lqf3~m_QsY`X=^C-5=Gr}Y9D7#hNu-82?O7`_A8k^n5_^lc(pY>O5+|hWc
zb>F(0%x|%fPTqpm&~hSmZXV@nqKs_Hrr2D4Acw2hH{Rgo>dp{X+LnISV?c5LznXg0
zl(eyGxKCH`K*{{6`M=c4uaw*QYWMUP*q#n720jagVx6mB=Lz^11CoGeF@P!79FewO
z@6>u?kvw~_|KijX9^GOW12B$Ti-E?!b`ODj_{Ai@5lx?Of_^+m;5pR%s{kGbum)rA
z2U~oNjhaoJU1R3*VBHV4L{GL#`iw8O<UNk(sl-iTf>qnnGEFo!cA^vdKI#QS*OvKh
zgN%+X(fM=>(=T=l&tO{^(5+!86subo@C5w2B?)+R3sd@|TUR?Z+45%gNq==~3xVfQ
z^XnE5Ljm1tvu$N{E0+gLw-&BMV^v9={L7ZO7xBE5&?&)UNu7EEXIE!5>!?g_)mBf6
z-R?KC?G9+#Ye`tl8}q|1t@rQ*{F){Scr*=D`lD%|b!u{C-&jNUSJUnz@EmG>P2*uG
zplRP{+sbNME)SNb9Sn;wC42PSmbPE;e3Z~K!Cpx%J0W6yno+i6y@gbx1F1F)1JAOB
zI7%26L7~{`?Xf%oztTwp9;L&SfYL3%wY+G2){!g{?Y0j)bvbP>u6BZm=}Punk0%j+
z4mrQx@kkWVyY*~iS-s2U!P2{h<V#UPDF3p7-_G+=LiYrVC3SCQq}wN>e@m@`s>#k*
zyXm{xrUxdu7RgK8B=<s|fM4Gv0gt|6N<iNVF4bP^)Z~bNacv{|`O5Zc0?(o5S2iAo
z0?PJLwymtP<?>)D+tDjC&PgSPz9d@~zsz%4LJbA;CDriqzB*Mi$_hK>(l4y9r8Ga;
z(A>{L6HwFdk)*|`>Cbrrel?W@JZg$50X03s@lQ)&vQy+j%INI2E_$|Iv7<-DwN_He
z*W39(*)}r5&j&n?=hBa+B#;Hd<7ZmQ6DSTt<lvP7fqfBvHP0mrLmCutFzjNeL4<zW
zs&Q#wh|CMWe{gkq0?x?eALV&1Dlp17Sw`7WK9>h;ls~oLhLY;N!sYCqzKw5RiTOb^
z+vz1kd06M(lVWzsGQ<8de<=k~DA`8hH7pW=>EKmR$R5DLu8BY63HUWv67Wn1m=c%{
z7Sf)gXnuC+lc{#=Kk3xg`y3#6$e#l~P7pfu{94U}Q9!G|&9;`+>RcWytzLk;x=Iek
zA2#kk<2fmze}cgx`j?*<BfQh?;&c-;Et%W_e)@g}<1`i}XW{GAA431XxNcR_rC^jU
zd`9VqPCpy6sl8y>4yRL=X{gP5JjMb$_+ocw^>uN3#ro`v8EtW$9C(&>7t2ahLn{3Q
zP#yIgM>Vw)cGvZdkK|IL-N_S>q}VimdJj!Z8$^KxE1ZVdT3SuE0t@0Yf7m}e#S<ih
z!8VsbCIIE}P!|_E)Lqo7?}VqY_b1n3txM>y$=Y~xe^P~_-No>Mo^w^vINd|xOMUP3
z#Q5lVXaDV#0U~Uh`)^NnLJi4MC?#G}Kp9FJSZhz%h>gMJb1qtf6b5C|jczjccd&7I
zk<)6(C&TFv$DgEQ#+6jh*gCUA1fiHuMVe~jURevzuvc&eOCd_y>g>55J&q=8k<Y<o
zjbt}J3P!edZg!-%S5{uu9Pf<RCdO~9Q(R#tZbUrqsnL(lpQ5})puD*#%E=}yA+8Bd
zc`tQM@W5vMFs7PQ%}<(F8oS1dFsd#Ku3@3&YN7#!@w_vW{Nw4F2`BkM=9{52V^+9F
zr3&!}s1()FshNqf3f!$d-s}vKjto`mozdY{^jyt)2nK~HwF<?^jZD_2r?F6{0nuXP
zZR%xNt;iuJr)1F~DRW&XqC`#*&Q}|@=SIV3KFVT`wK(c81U^71Z-VN;K=!>_gGrVF
zt7l0ui`%c(EE1rpepi3m%<p%qwC5{lxKl6J+(j&gvzk*;p_gl34HdH>QJ9H9$ZqWX
zN>w!!f7*?FZ<$8QeqbR!%#=q(-~MQGa$gxv?kxa!@=nO?o9D?8urDD^J`H(G!aY<`
z%|+jf-N<j0X=DuC3vg0Ybj2Sw<sX-!`~VbU%`DTfDgy6MW(VHimuX}ayf~6-c<B!t
z-Xpi!<4<@5!0}8zbF~x-%?i9nL&c?}H~GOC&<<hxXCA+*mT99z7kmz@99_T^Yse0~
zrRB+YYSHOTcUHG>Q919JoTe*PJbB>E1av|F-W<h2A^0bl<)QK!%F56A*Xm%i{>}GL
zWq7VH5bt(Xv{bMXspj}ANGH5=JSLgl;6{Af)1I2tr8KKQwIq;TmpD~MsqHReF`U($
z;|onX6HqY=63y`fA-l2c9RK_>jg<Y+-#Py7GMv1k0Nk%S=pcwRhyNAA{Z-|0=O+7i
zmuYPb?zxlwC(2O%cmbRX!F%8A!29(wjf{dfZ?gYU8Orz17Q8<$3okp_KUAiT5?#+^
zk15vJ9hmGr`A*KC?9;hS5AWSV#b6$GDd$h}8*_TJ;3U636A4R`JuTmLC;}c!8>_%w
z8PhWzSnPN9)ZqzZS+G7f(5_8RPt@hBPE~vT?un<BbE79k<4DuwN!QxF7oPjr=}XP=
zCqi|Bbv!0na>7nPX++Vou4fbe8BS$kwhg2FTw*Sqwe;-11}bLZq1jzyld+dG&;(S-
zlkc>`@}v8|Tf8hNlgmTCGM$hEdqHKo)f?$rsba_{Y1E!Z9ZpEMP?cKs8)n8^!q+K|
zc~*AUCT8mJyz@Z4HrgO(8lC6Fv#~Wge2L}8>hOpi9KRGLaoc!hy8_2B$2;PB0!RM>
z;k8l+1F5<nNDuc!3p6WeN)OwFx!2alq<B3vB5C2BGYYG<8SgsPh1JW@#M_CzaMseA
z_;RS21&B0Jqm$9Z3^)Nz^yIs4R^;yf+g_t3PXpim!&#wa$oOF5wlH7Mr*k^Bpq_u<
zil|K|%&HsaSlQjKY`kd8stSMty6z?qfET=0QBQQ&o1;@>;2>|4&pbN@;B5=z^yXrx
zzPD4UHOH`StV7-nO>anxQ{g~x9LA9LbbWMu=XkwcX?JR^&QQHMHbl;NO=3U{9b$}W
z!ymwfxY*wrNSt_KIe<7{wHVOA@t4v1$LfU|I6h6C=p8sPDSqI{nZUp0R2Ci!jA7#&
z#9TOQ>0#qLP%#S+4I3Jp%&?JxCNOMx@_p%mk!LNJ-2<mhVDPwomOl`FGDl1c4upv|
z@!FLt1?J+;pxFFV!<ruSV8?F?R}wV#$bz^Zh&D{SBJQ{!z(G!zfG4BsIH-+JHAOVE
zGbWjl(Q-gCKj~hl(dek{_81Y?RaV{9XtWfn3oIuvDSkAPp~jMbZ+P>GPK9CCjS=Yt
zVlbSw^oUf2idl$gL=yPe4#RnRPY{0Dy>ot<CdxkOWwo}c4BZX01??4Op=G@)yUMgt
z%Xel*$%uDgM)Bm^)bBw-3sJZ4Rm1q|wjh6e9mtW4g5&Ge{;=Rml|oZ#N!e+%>g~o9
zL}9=idb{dPc;UQ*qw3fcED~$Y&Olm)*m;3O+EaAK(ol%89G61Lx&vs8-5)J!>;R(1
z*jEsmUW*Tt3XHKvI59}8_{(Pfolb?}fzudc-%bpMvz8uX-whSB5YZT`@yY0D2A+V9
zdh(rBN}@EF-E!qY+gx7qwe4j&@MpA*tupzJ*c)v{Y@^<>2*htN!C<SLki=w0Wc|a4
zTID<ED#lEO0hYdQ?ea!_V!GH3yY}U5B1}@>uzPM?T<%);lDA>x!@hnk$u#mhHv+n@
zK6ESo8lh#UoL@2SpiSQjIgB_LjO)l4`=gdv8o3t#p*^02by}VNzzfI@)}^{1oJ$vw
z$qsRD@me6dNd#huKWvbe>E`-x5aaIZN})=Q#cGJQzN@P{zbbByYlL3;P_Sblzpt(y
zuWCPoZJHTvVUFpIAE!axQCEv%l%a7`lRg`Ow>1p|3tV81L_l3F>H{Gi-;&?K*x1k0
z48$rOXy`8UtE0M3bZ)8wg_s{Cr6BiA#)@_I_9(pLRj<@0z#m`RF=5_>s)M%jvT5~7
zo{f|TlWU^I5au?FcAvvwU#Y=10*x=fj69q;(V(ATvepsqQ1j`h_VB<ax&l+&=5J*)
z!}#TnB-oFAt~KqphUm7PMY}DjV+j#bp5jm{q<ry~dS|939VF0J{kP_lCb%1mu&9E`
z_h6yra==~>qmw6?+~_>xfehG@p@~^DA^!#$e`yg;D6s7%P=Xs7(aw_=8FCzHk#!<!
zl@^)mB4v@K<E$qZPrY}j1``cn_HJGgjLkgG@DboqT+VwB{-W!H>6d#sudt_<i+Q=U
z!8kHH)!bcgb?`AN*jtcS%=ThI!oEXie6*rX$ji%`kY3Juuqp4#PGVjXRl^6ln)Yh8
zp%Y{KkbSCQHN0Ox+7b8b!dVDNwoXjYExqogz+}E+Wuiv0DsQAl>|zO?3IW!CYo#L1
z{u_`Cb158Wy8e|e)&1<8GF`pBByZGBZ=^jokWCo3fm9pU?`edJTe~T`$#=0D$J%|)
z><N{WqIc-U(_;d(WXAMT(?gAnO606>Hax#%;R&2J|2Y(jJ#9XJgq3UmX>&=ybJ`qJ
zOf@myvKYuHq2p49X>|eSah%qV<vBF23<xb6>;oW@h<W0i&VYti495U{8_n?LBPa8`
z`q7jG;?OvUr|<}%5x%`+1J5gmhBNp3&-n{6bg~)<sMRdq5BoEr6RE~7x6aGCGfPHq
zms;7C<~m<(-A(xB``fe=3fa;YzA0iaPr#3_B;e6qObO`j;r6^M(eX$u=5zG-<xaKX
znKM>@iAc2m-jP8xtiNyJdG#YI31rdm#4Wy`CtwI~Bp5`aJQnO7LZ9WCEs6$MY>sIB
zEl;2X8c3r&8q7^ZKjc~Euy6(_PVb$p1_10>c68PZ&JJK!9zB5BU+n>G-gWkX;ApPD
zArApiu>;r<JOMwbl7MFb!<4`PmPR8*sp*q>#*BWM6*WB`$Y++~9NZ=4=5T%ZjFwIr
znJI8q>{1>vKlAITopHD1UCk5l%Zeo6krhnokE~2MH91-`+p^Li3>~5z+(l$1KQHbS
z_|{?ePC;4Q|5g3QRxB{0XNbE9TvI^9w!=GkUi|_p31kN)-%98no<ea+>lux(?f+$-
zR}PI_p;MbPKDkQ^Ctm=Qf0j09Rz~`@^lr_8;r*fQn=i>Fe(v_onQMigQ=F=xx3<h!
zLkv_@q0?h>8$$2tlq##Om*l4?eS^tQcp)?tMs4&QK>hTfY&`VS4G<lnTvg!B1ovDu
z+3opulku%<UYVofK8=fYG}z=G{aq2H)yBtfu+Vbpy9;c56u(91c*Db1siH%PLb!~t
z!p^ae&{;k>*<9<J-QLI5Z1cgHe+|hp1B`wM4Nk8b!wnUA{mrpZ9T?5N>u)g0GE|(o
z!VdlvBf8|@H-`*6)rA>H_T+6AClh<&tfmoM=<1u(pkfvvionw7WFoLK-~=MDJo)^c
z+qFK!5aO0h=NHeW6z!uOodXu)DldpQg0k`#M4V$eo+?#zevm-ZcR1PtCsanKS`eQ&
zJ=MgMEpW=DQ{Po@d4stfhm{l*=c_I1yMRek0K;Oy_M{T^QEIbS)G^7V#NPt3fZRYz
z)IE-;o1N;yj2oi9kJt-mHAOvH3z=iD9l90rvH+2&YjiTAo&hHy>YjYZ=ZlK&@@_<C
zPz#qzzFJ(D18hOHc#7q?NKc2!&tl&Y4_sO5;~V*%YtEEPSoJ%8s}Dn4OhFBc3)|yL
zB|bpVcvS+EOiH{;q+Sm1q3JI>m4(?h6ygiSTsUiKh4?F|n1zQFLSvIrhzv9Vh4AE4
z?=Xg>B-MtzoS+JB{rRf!-W*5^s=_JSi<7E>zBVCB1q%3i=IyWrGAtNu-zw36h@kL_
zJ|^`|^p{1mZHWFKK%tBq&M@sti~eJwViq0}eT_{<^fS-|MBkI|@r-1oV$bCQk$3CO
z7y17#D)MZVDv12Bh+1XH60S8OLze!NvgR+4bPSlBGW6dXM_L+PTS)Y7ge4dt{A?_g
zvotbd!j2W;c^$Yw#9ilrZUs^`o1qNA$7B)a$^1>A1gA8pU$RfIk$vuyLq(ikMO^$S
z;!vz_y3y1(FD=qMwQPL}7K-m1V@c*L-JolHOSCsfGgWo~l4SFTpx09mg~xd4OzQO4
z<mXeJj_4KYbbcg|v4hIlQ7Cp$d9rk8W@871iO<9iu7x2;#18&FG)%+}(y!Tx9lQ==
zbw?ZUuD!TJ0A8?f?&>t!{R|%5ST=aj&sq=BgU`=;S^YGs$nxq+b7pdS-*9uR)@s%E
z4Z-Cv?U{)V-06>N!y$E*5@09aev;vWaNEN~ZM43+f|r|A&Z}J6nyFLJpk7~Ai-!yT
z41~cnUcxG*Hg@r(%RlQ<-OtUba6x~!Wa0&vh4P7kI+SdW*}u^s6^|H90Z#rKt8pR*
zH}_kP<c?|@b@T@w3Yl%!1(=Dx;tWB5*bp2w%1W1i_irf_irtt$jwj&Xy^#bwo2{5)
zYJ(9KxYSZw(dg_n>EyD}c#2bdSl7(?(mYk<1PD6RqIU~VCxjjHTxW!*HZ>|>=-Lvh
z)_B@{sWq}?#0Or$pn*?GkpA0-?O8l*e!j01yreIL%?pR8?c@pgg-8<c2oa_Pgvf9O
zW@Set+HJqtsmtlJz#5Mc89^jkQuY#z4pk2El9IA4bMc@*(8F_0pj^~=Qfw&S#6#(C
z)a$7I=DvDZjNZ!=@QaZo;1MHC35ZeZKFdlGrP(e2oKut2oyCQSXhh4<rwBubC<k{*
z89K&iAY}&~nM)5k>Tesf2YJl=?B7o<jgyvN@&x?SA_;h;1ycgjV%&_E6&K%4c>`m1
zT~5~(mlr`KT3{9d{mjaoMLYlq>?q%RaJr-1op+w<b@*lX_e!?S><emqrvMN33u<V#
zD>fF;A2uiF@SK!*K}|4NM62@iVmOu0NVUVM3eR`XVjCZG@Y*qv3eI;|`b5tVcxmpa
zz#bn0DR#*Z!E~Rcz@BRCl2b?a93Trd3hnukTw3LZ_FSeyd!(sZ+1Z+!tV~Xg)hBTK
z83KE1ll4lgwrdx7Byj;#X*X)qa6@9PU72c)?}AHnChT{<`dFjZ`{cPO_JheS(b6yc
zS<4TU)i-tOjk5I*OB~QEi$JX$s&`_c<#I*dw>Y3@kla<R^(6&PXaNKh1+LnrY#_3D
zDIWc%9pk!qa>u#9DR*W5-stw5&euIq${QE-PDlvE1!0n9nK(v>9T(&*Y1JmT1&%Xy
zf7T%oHdl--vriGj;jHEgyilajUqZz!WVB_b@ycwOW#9^InR)W9j1?F?@N}b#!06;s
zOeeZfgwfk`K*s)%5k`MPS@{T~i_{>V#ulOL6Yj{CBl;*@H6$*{&IWOc@T2BVZ?uv2
zJg6Nq<(be((JstyfJsx7!{WnAfZ9|34{Eb_PZ^U;N_;qlVP>HpE_<}?$huu!m~lfz
zmO`P78E)7@rivur1cqZHjE;tiS%64IG&&g-$$%435l_A|%Lt4Xf^MnepgJxm`Kt3v
zk`2C}3aHK%8UIQef+1gT6n8`?Q{zp#npHmI0Kw0@#4Yu3X?1fzRui~2(Bp%N_0C)x
zEupOBDAig=vg=hXOo~^n)YamRRNC%T#&?*EQhg3F7tUH*u|}X`79LV8jZH?eGSCDR
z%aiZyl2VlFR@oXry<C3s)oV>o7ZjYCPM1z3<8cSj6nNZp3TLMAo%_@tA4WORE}rm9
z*`eKwl`BfkLh5e~63s%dik3N67L=;oMNoKE1(V`c#qcx1EaZ8C;ayI3VGS^5p+6(`
z!dXiz%X^?=79dg<jZQ{cGT;Q1#gp&2JmJtC-p$Pl;_p((7yp;%fSM71wn`P{^yY{;
zOGeb-N-8qAqDxu(7UlHwLP98`oc<LH<t+S+D5sOq%Al))&Kn*cUIm^6+S=D&;BDlo
z=1xjeo<O6>{kOf{DFR<)5ll;$KV73#KB2*6-cDPe!&(IbK=Craix3pqrHE0XF6CuP
z#>*(DK%saU<sQ;q=82d2CWuv+iI>525ifHxpeEvF=-2GT%RF<sH8omq_Y@$buhk-t
z0#vwje4^eOmTrRfFgguJBptBehO;h2nb<=pOf6WcihY?52EJGk@a{z?Zlp_kxzl3J
zwTRBpf9p|{rp<M%@K+n$b)^^RvfU5QsdyI+jT1m}KFR_FB9-h6VZ9hT{YSd>$sFl@
zQn?<fZ5m@=xJ=*%scWE6Y^=yQPr$$9CJA^pm@vgMj?%Ucq_~Rl-Enz=v1Mkl<@C8u
zz2QOHG<}#Yf0I=79^6d?tV7$s2PYs3kLG5G$X2S>5S;#mh`g1@%+L251usz{A|K!h
z_+>{D@W>9P1Z2nX<z%JC=iB*$Q<u|c0f!AEFM>$4q<ofObf|KOmz0#*zX$6lJd*x4
z{fL?$x99&KJORHHNdg`z!jym%^>Po^(p`47PS?)5KrI3K_Lv^N%c8>b>PJ)($f}no
zc4n9-P#lb6u`?Mg*n6<n@XQuPBYO|lCZ0eEGz#5=l|h5K2Wtn<Du;zLKyiBSWHkWD
z&U*QIF{mOnHIpr<-)Ok?7*z3M9twl$NQ<K24Do!R&ut_)K@~m(QtXna11hr=RPngr
z;zdPK$UdR{>ht9An;V3%34##DW?-W#U3=m4JhX?qYkW7no@|_ja&8hHqI2`s8DD+(
zNZ;$#hG_C06q&)~UD1*w90tqh?DB|u^v`5-AC?G&PZhydMId|v3oTbt2wLU2g1z`n
zBv+6qR<CNp(|X&|wF}%(JvO`!7K#_QAWCNYtj8pLI~ozwZ~HbV<&8=B1|$Sx5-`cK
zoE%%gj!9TZz$j0h{7dT!IT!xTsW5Ca8LsW05rg5Z=4f0f2H_V_F$)p7wgo;`Q<KwI
z12DpkGH+YzXrwkC(y&1bGj6m|b^?p9xj>b~%}+Mck1fN+u~3McflQ>61&}#*EBo<~
zw-nM{){r}`Oe15UKFri;CDHar8}2n_I5{5*%?jLW%fg+!z!2>1j$l8#OdBQIuq-ni
z@}wu2Vht{VjUi9I=x`j}NrfVKT#Bhx6^h{b`<x*PHC=`w{4HgDlt=KqIJ&D@tyX)d
z&nH3m?ww+iB?asdXn1}65j?MRs*4(Y|CrbdXDvPKy#Xp_0ip>;qmxmQ3^)N5@#HHN
zf|IICsp4P>yPV{!&U16XFQ__?`1M+UA1#5bWGL178-mBHI+)Z))%j<qy0AVNcFT{5
zy>Qmjs`D>UF$)l>jz%Y=IvH>Rs^iHQabs4hC=r=KEnF)3YVp@Oz-H8ftx|;^d^KX8
zlKa%Sgo@m!{<xUZa&Ms27pkbh9rXy8hLa3~;c;88!_tKy$k2n6u~5#6&j>v@Lj^b*
zE(LNSjPJz2@qLy0UbtvdL=%jU)tj*AtjxeNMRfzaWlDnpJ);OF6q0Z*l;Dg@#7=fK
zVppiEd0CSo3Cc@QC?r8Si*#3dLK0}<!Gt7Wx(G=ahlYue1o|~QAqiU`@N<M-PVME^
z4(HL>HRx&pKUm?=1kFq^IH7ybqj+on!dknIu9VFp%wwuGY&3{A=b0C8H)j2kx^$HQ
z9%+JyhK@{AoCMw~v@Jt&d*$Xny^s5XXsuOlaJ)6-xw_OG@2WKRWQpzvHHsQv^x#ON
z|0{Lteen%^{7H&jau-(PL~|VB$bjG_z0AX#UNtVa7)UEn?Jz&t4S5IKkU*fupF$yf
zQ!jjw{vMuyf9pmP@NAP}ie*lwff{Lax3f9}yVSE8_}5NN;R)O{51Fm@Vw-_qA`Bg(
z{@p2oMtC|?YKhl&yxCW+u_>hT;_j4B5bfQm6;WeP7VZUf6Phh)zv?&Mf=F~|!!HOK
zb8kPq6MaZxOPSM6exa2FvS=KY8N3~z)iR!((S4Dk=%LsHPT}_!R`HCpIC+#C5ww)s
z2<N$3jb-z0cF=oz|CxZnE!&OGtG6@{T+Y*u=((QX78hcdJ36RS?mneY3n%-a3ub9U
zc91cA)RycVwk2rO@n$K(-fd)KWq0Bw^-e`t({SK1Gd@(Nb|m%Dj@}%O&8|n>q=SMv
zn6#qh6INQVB3qu^ge_P>jhT{#^A>1NnNPG-+o6)XsFLieDECq1+kvE572Scq=uu?)
z6<8HXc7amqhmo&9s}C>dgNSRmzrL5{k&fBExR-@d%1dx{B#h1mv&y*KuWV`ERr)!C
zFIC95kKxdlT2#P=g!sgFI86I+8#FaGyPvf@(qQ=~tT6IM^P6<p?!9wvWtgHaFDHDf
zdKaa8LPR&XD}d-S)~X;Sq<U+>_+<CgUud*_%bUQe;2tOxyDIn+Prz?DNCF<i0aGl)
zAzc+5Ne=)UvQ4e8`sR1fGr-?-Ds~LPi22>U!iI=M8)M(jU>Y`Bf5G$W$5ax?T05Q<
z)9-l##la}HV#;C>HcXGc-WCX_-&ia>@`a==`HC`3pVWUQq7BotdD;<u)w5wL`YW|9
zX<ORA!sRs^jH%e0zqYc?W^ew=<-xxB3+G2Qkor~zb)J(FH-8BR9XySWR7-nw1AK_a
z4M*xddC?7!POZrYQO^4ir20a(@w0#P*KI(bvsxuoYE9%rAjLU(Eub<>Yobb?nWh#-
zvTMjLf4v-yyo-#gvC4RwyqCU4Csy%lmDCaumuKPiL*fE05xZKe;QXZ59px*~_C)e7
zl!d|M9nm5oS0Z!W&ZDk+n`||7)$Biq_sJp<t1ZdDz(UKFc!Ab<f=~^STASL8#xr*)
zG>&+|Z3(S<r!`*RU3WxHNSAZRm1&Eru)&m+<MH{s=!Tk`^M3-Rys@QUg9MmZeed95
zk~Q%=hLRO<DIYkH?E4;B__0%6c!0)@PkF=01H@i9tLYOg6j}NcsF($aq8BtendpTK
zIDzN|Prl)T5~GKcZqbr3^tklXp*<8S_g6WP8{5*TKatzgAEm5)yZqpZ6Si!IB?Q@(
z5eUa&p?GyaT1Oyg2Z=Izd`W3H`BI@P&Md++MF^Y*CAg{F=n8CGp{`&BA(0URY6veB
zA)uyc4RzKRmi!jPfxEN-(}gc=J2XuA!su7P7bcxT!^*b+J{JuBKJJ$N)yDDg;{^D>
zVFGp+!*d=mKDYP7!>o;M-D@VMYGWgKrRK=kc>DTZ{9wYd*}FH)<|yb5n`4%O+p4^P
zfv0C}M7s*OL9aDk>on4k0UekiogLRJndlxyeIvT2qEy-bsFj$Uc6*{VR;@oUI-spf
z9SEJ1h6o&PBd-8-Kid$#ScBp7rtyBy6v*U7Sd9}baG2Tkf}1o_Ae(491Q*Mqstx*Y
zoB7wX%m-Y7e+-3UU4if73HV(#l7PomgDIB9mbwDT-9%%eW5xLc1U~K56rNvA3#@Me
z0-qoZ9io2si9jPfn<>pi&%l0PwZ^od@}g(JCwz8*z!H0;@px5@9JXNnq~Guwl%oBs
zKZ-*`ISPD$q_8KGP}{@jC~$@%FoYUojpcKFyrpIHw3H36hr?Kn4sQUPMV!5bFhsm^
z32x`2Tfu7;c^DVwMLM4gCXIG$6fLF&H#u?=Mwh|laQx2`8V4(z(9u#uov>GMTXhOs
zB(_x#m4)-HTDh&Nuz*VR43NqkT6NXjZPh0ONnuK!h`(rCm3{?GNy%<6+p5n=#dBhO
zN2}J_*GG%;va<WD8K%NU<$ZH%o6*y-JiBt7vny4f*`cU$uxG*<$iy(;v$G9O=`gWB
zYMmo1^nz%GQ}Y*Eq37yS-2<aHQ$zG9Plt=6zMd2t%S{@U;^t_IXtEKjam>*rT3lRP
z)JZW7(FIsYS)t+&o8dakaKHquL7`X^w9OOno1l__#{|U`b9OLda|@cFw>ve3=b2eC
zL0?1|Iz;^@s6fM>mrQSiQcE;JxBIF!=1i3rO;De}*(T^ydl{5G25ag1Y@z*7zq_t9
zU(v?!`{MdV8N<G=Nd+J|8)};+WB7!KnM-Y)9RMRgnZ)NvdCD`1hc<*v;yvS?2HaSU
zTYhqO*9LL1LR!$1Zy{5I$u}i$@#gT;u!Jy&zpfkR3^c}wfKFa%4l5kM9M&^XDs^$@
z@c#yq!W{lL{6*$4{R)}Gg56%s;VpW7GJ>)36}mtbz7;(>RjGBrX}e>lQ(v{eTRP0p
zW+rF@OOG-WX6V_!cIyVKq}oUgm%}~j;D2#HYZ)W+?~tZFquP?fd(al>vXAPeadt>^
zfg)Qg_2g<(qKZ40t1HeP>0@-WWiLkgypD59*+82U`m7in$TYWuqbvh7?$drvmLb;;
zJV&gYo@#eAhAWkUc{Iefx=FUMJuMo8Ja*D?DfvANG_y1t=Ih{Ga1BMsKh1;lWbgRr
z!O&)xF@dNGU;@!{lXjFbfh^HO?f$wc`N;zi@1AS}KExbyE&if8gnk9)5UGV_cjq>>
zYrE?sovEJp=Jc-Ix;VQz+b<?3!KtJB@j2x_vD=jAIXR05CA%M|g9Xi*@GzUGSiRdH
z?SW}GJ23IHU`v;s`#qCJ&u4eIjN7QQiKf><Z+A)Wlm6Sr{AC(9pR*+3d$=76#rhsz
z#}n}T9wY&e?*UW#<9qm^Q`5t23cQyvbcp(W4+0H)3^xaCHBF=M;YGe`jg^MVi@t|c
zXOb5p7&t80z6TNb8`x6xMFoGmXHa_%%l<|j0&11-10jVvnSk16$*x(!kFsikFZ+g!
zgDDBG-#EBHM?svp6=qX+-v}ZWYY-so*)NLCu7{4~pec}-!Q^+*-L3YCnpi?CjDMpW
z<7j~)u7+Ks+75P&me#bR47-N8l;l`oTNpLV@D~|1^ebT0B!b;u7RHyi)$zOj9KE}+
zv{|G12pcsYom)nY(V{$)=1h;W>EhLsPP%?it+lJYy0WIZk4^=8Et-L}FV%9({G`=`
z*7T>LiUjvid241!m+j8+E=g^fr54EU{)s2GYM+Xkf6_?`bo^<9eTfFlXU4GSV%9=Y
zFlN#)nngku6fyOuP4Fs~V8CvYq>RH=;d@0!c>;dBNfPkbO_*XzqtV`jLFPqcJuVbX
zvs=E;sVO{o$GT9EMzj-u2FPb33;cGIK*OFRLUz+LeAOBgk!d%j+L@e>VD!OmdTY<1
z_G~x3F%AJ`H~BzFp-xVO+GfdadIC3;YpY503|UR9B)EB2)9_Zfv;emcj8jC`O>{Em
zMvM=7bD?N4txn08kg>t!3zEP1?S(3q5LVRZbmPK`XjoAS3$UWJ?55ooXGMJ%ND3?J
zd-#j2DEbw$q6E8OMcI^0T{KwiUaf|z<SqCU)ypneP2Tw&h%H}8vA#a%6($P~f2uj8
zUoMA@!xZSH?^n2FYo`V8C6G|I>e?Y&5qF*88>&$j8*F!+8<la`PtP{$pk0RP!Cj>A
zNq=?K$=cqLiF$JvhF!zEC*V~+^Q_ZO8>(2ZJ5WS6I-IZCxPIfNYc{TgTlgW!p5DgO
zX`9!qgYTI)opt)Pdrv#v{XY~KZ;!O=sEM8WNUbv>`B`1Tw_1VZ#kGkx>=EJG)Qr4Y
zBx3XR<SqZyI!C72f@vjTK5M}gOEv7HL;fILs{6r5v7PMiPkAxJt?3dmPS_NXCq`zs
zf&K#xnGfh{<BrBlE!VSx`xXoC<Y=shEc|qzZCR+D!p|5=w)s0ghd=I_#Z(*&{!(-I
zZF53_r2eEa^~?Nh%Y3PkJdoy7B4U2BVSXwLbHG?W6AHyT886}q_>E;rz+)_9iZy<w
z?LHXafC@OoD9vv9Hm9cW935*cyKhi6{<V9^^uE<%D%^-}mT!XcTtnbF)cjU54+Gdt
zv3C>fW!uWG!E$-9?<T;RNJ-rS`ol*34xW<|cM}K(Z7ak#PoN9-RKnhH)UV*@%#3a=
zweqWmI$!M;{|VdTfQG$EFdDTS{UA@kuVIpaN5e2Bq+#t&E2v?ZX1Dx{PEC%?8%wxY
z4MQ5{a@4P3pCj-bYJLslVJM(s53p@zH7u70OT(6EgHB1G@x{jf*E~-pbWN~YQrDLG
z?az#kEz$XO3)3%l3y-+Lmer^}KNJeZ&R)xT0)E|+1U$NhDgDu{Go6~8md~1Qol4+2
z)cm@|!%#rCHnVMIbt{(#OScxT#08O(I{B9^aXWZkO6Zhev7}C&T5#=_QMRKp6{zNW
zQfw%0Vxb63Y<oz4%&Tz2e%9N00)FL_1U$-zDg9BtH#s#q>M(1{_c{X4q2^aU9)<$S
z_X)PGtn%gZU@70Sm9D1&|JK?VO15S4Ydp6l)KfH~q<TIn##55f$z}dhN-;ypHWEK(
zkqBt#4@tn{wDVUy0l#)i0v_$elz?_FK);e`eRdl}B-(91v}M=jXiRba6h!hZ&&5DE
zatDM*qJV-{*~YR8n#+TwpbN>br=(E+WdpyO=cR=D2^Nc}Uw&Q;u<^Nw(vrz<z&G8`
zJ(9+v<SY!`JOP&`;<U7MP0=>ULqHCNAG-Z)$fi7j;1MMsY8pLqF&=P)y>Q`FSbbfb
z>(6z7Unhs0W!=THzI5f5egc$6oc>JDEOnpJ4;GS3jn*a!QWHMHv&%IsZ3a1$Cmi<e
zaiE%P1?u7eGx%vv@oZV(*2g7~37}{|T^ZFjN0LRY`p&Vb(f!GFSnCq{YqB=p+@I`*
zqTR*tfu1H%dn3N5K_Swix&QWLC)AK^gHqzoFcg}kfwh)}MfjeU&rRnzX$VT9yVqoT
zd9a0e*!?AtPj0_mi$6)JjAQ#3Y@OL5HXh(gLRT*;JK+pJJa{E{ipHC}D&TRz7q>?n
zwH9p_>8-`yE7C(}au;$snA|BDR{LJIxO!SUhx^mpIYXB<$2;S-iSZljwAs7WzkNsj
zr#qrpp%nBt3(((K6!hc`SYpNcgQ3ULR(S4M%)f1IU~}ebGxL+?l?Jm96=77}x%Pf6
zv|LR!ph2E17K^|0eO9`|P^p5~n_l$3yta3Ia%NJfirAjS9oAZ<U7MVqsEht`uU<?m
zQg%gntKzHC0GKxm+QTRg=nD@aZTm7*2W}wW)r**9*`kiwX<xmV?mNI^Kez{A_uKtW
zWvo`Kix<C7%!RX>^Gl(N7axF%S$JrVLSvJ;crgP_;NnG3zDllyXyCf}c|rSJ8maw;
z!4lc=62duhU`6qe&k%o(vhvRmk6F6`l`2dYIA>Hxr)DO`Dm&`9I}cAJ!rU=bsdq+)
zSCOKuhu0HvqM@yL*gT(}#zLJ&tpgkDH15f2MUMTiI{Kh_2jTz77)%y{_$mXj>+C#8
z>&f}5VWn|oux$%>Sjbp8QEK!Us4k#Jm=v!@iv)UV98iDS%%A2|8D<{4Qr=>E3b7c@
zYARFmAJFeU(~N94`$qlb45*j|iIhnoWRDs1D^=A{{AoAx(lU*d{lJb?hna$@=-VG{
zPM%$cldES7?rr7a9?};M&WE3NBX20v$QZa6pyn%>#UD21=a-@U+}VQng|h?iYs)k;
z3SJyiHN5nP4ez_lP=3d3!Ta8_@FqVvLyY}kt7PWm&y{JTMAuUtrdUIEV0!oDJGJP%
zraP-!xF}5iE(iIO|1mi|TX6EfR&Pr7Z{mk4<)rVK>kI6Q{@m%t@Z85vUuus386oF2
zl`+W@7<K|ule)B1)Sp@s$Us@xv8xO-Z_M%Yp%CkyF&#2R=J>@>F$)sS@dBX&bNuo$
zjg<YsLTpdx5@`FQ4fk*vPEMXJxKAq&H#f&$T&9sRaOckP*OZ}r<!r(G?Ad{Ls!SuJ
z;LV%kZ!1Ijmf3>$`DNi{=lDM^(?*G|XO71dYse1F@t%Aq=g;x!6sCunZlPi@x4V?{
z=k}k_48_kB1s3+}Gf@#V$J6p%M!v%Wex_X?tH9CS>6s2J_B(s(^`?rYua6A~w^!Ti
z_wvM6$dTHUqH(0z@$=Ebz|LA~YX1zWf_G}iBuh@%c}L#~1a;AGo9%BqmGNCA7w+FA
z=E7M^FWmnTDrVuKNnK-;vAQ$R1XReA@3g}5qk-%eFAK`#@{q4g_vOG|&`_@V!x<`7
z+}0<R!joLBnfg#gohoU=U1OEhH#{^j1!uond&b*!Ola0?tvbB=qmiUVpyOH&MM+3K
z3ngo?N!gB`u~i@}imWs#Wjh?I3;4<~DPGx(h=^rfUj)QTr@AoXh7J8BVlSMvw7RW=
zidle2-84EGb<2PgP&ZG$3wo9<EfL+`>jHIjdCXVGLvy+%qmFEq$#+f%NgGT)9pMVU
zV-aP=O{AQ?*JMUyeNRNK@^KrrccykbOP})F(x^{N$KUYHZ7Npu6;*5E0ucO_4I@YP
zsXx6{sGED8a^k~CLs1@e^`ZM@rdnv|Dd*D@$zs%Nq}TG<w^-|?-$bq5R<EvTVW#2j
zMbV>#I{k%*?VhJgJ*uBfXE2l}?$Q%$3q*&B*c0)GjnsbKX8&n9?lfA8S8_L2L#O4^
z(`fUn;;3ZswIqc-hAsK(>hWHn53o%$chSu8-+XH%>U=xy!y3n-bR-lWiFyyPz&URu
z0_uFb4}^5gOKyhR`Wd@LtWx+^caRe*7>DT<jC<zX2~;^=iBs#hN_ohQMO(41-X4Vu
zVZkPwfamLLJ0{HI`Pws|mrW~L@=c^XnEWrvfEp>o1_>e#K|gbN7^2vwzte~tfl3=L
zYvQ^Rry<-eo~(7+PI%H(t35ohX{HmAP3@BOx6-ud9uz(IK+&E{euyPREKQ0+saTrD
z;=$RrYO4NQb4gR)e->d;MbZ2U3oVzU_j(wrJW(`8*BMu{fpt#T6=^2q-yr5oc0;Ac
zO#pdfKA0?m65KF}hM+XrkmE>`?cXUYOI^K3sJcjLW;*D40xs08*=jt|0A}xu$bCfS
zOlY~dG~z7$Mb}!;FZa?2VP-8ClXPi|^6Fjc{;4_)Yy~a{^G^?{Rk^+=tJ3DG2m5l1
zpU+{NKs9{?cQw7uysh17ZLi!+#wT3!fPziNC_dCFjnUMkI^3>Isipf_D+X!j<*ZKd
z7js>v%XU9K_hw)hEyqYaA)+q?#OZwj(PhlLNeexOJf<P{S;c`fCf7ls*yEQio`C<1
zi6r1TV}dE>kZatubtJwDYznv(XvgOX&Q0Ir$}e#$4v(fG8`_R6l0?h{Cln7JGN50W
z!E~EaxOv;0aF^Hdy!tVf1hQy&T)pq)379eS#-^;fpm4w-8a-eEv4CP_H*dRx#V2@H
zSu8yAg(z9_Wt`u?Su=67!^GE|QjYMHVFL6k+f|MwLIdtU@w6lQs^`U@5G}`)@E>aA
zH5<&b*!wUZVw=sLnabtCIy1$Yg46*=?6F10?);?0i7COLgQwAv%AJ7sVO$G1a2BP?
zi>`-seoeL^d^kfnt_N)h_@s{#?dg7)ZG4RD!5JwQ5RvGi;v}FS(R}51@F9@moU8*>
zX36gmatJzBgY-bi{-L$y#ZuC9SMyI3>nDiUM+_@)I)+RRGJwUqmU#W%<kVPwLf*Ak
zBco8S^UGJDg(A5U1!6GS5-k_X18^W%eAHi?WYeL)ZUC3MatXs&fj;6sA1T>Y1ZTAv
z9>YS*m5hP@@QdNKspVR!qLD>Ae)z+YG1y3N)$vt$xE`C{QPuM1-9j&9sNNjiP;;B=
zawwIaz{AzGJUX%$5(4{pm}Hp%&OB^~hzVO#S|>ik@-C-3dwMWONMuiLo4=gc3uiTL
z&_aht?uLq4fM_32qm$Xk%YYNu$MfVHE+{d2Oz9Ra3FD7TKON*feh%<J4kj}>kYn#i
z*9_`Uq-&-|S@V@%`?{ng>Ay7!WNZ92RA<U&SVEB98^w;^m$6X1x*wgLJ(S_=OVSK>
zeW?KKcZ={$UGZ%Kjc=Rm3T#`Uu3!a0dCAleUdT(P=4lOe)=QSW9oX$MSLkE9@RBXw
ztGs0NYj(V3J4dIQyX&nEJ`FU}1m6%Gl$~kS$3}#^y5}8Py%)Q!C$AaLWe;AocLuy@
zJVAPWZ*`?PJ=`3twOX}(Ln7iE4)vQZh~{)>c;mV?m|+{_1$0N0>y3PFof$Y&iT(;G
zj-CtgH=Q@5e;{SMDj?Rs=KDV@cpjC;=4I2`OT$YAgf2Y1@Xos@=(63voqNu^JTx6=
z9>o^)Bm&eyRpTDRBT+@nDrJuJcFYBsLv^h9!|uMP>MkhY%sUeb#X9pY;tBZu9Fl;?
z*@7vixEap8fmFLhiyb2jym)378;5O9z2TX}w4)gJl}RdkX?hI->(KUlMFd3QsYxy3
z=>klu))1Ui=@e@G;FFQ7MWO;FS?W(4(_48={q4F@@M`$b!dHcLc>;dfk_0@mg((5q
zS{XS?OQ5on=QH!)>d<rg-SFN-%A6n)Ep2biKpplUe}w1N549waMZ@Di{v1!BI2gtJ
z$5|}G{^M`(tg={m#12VYVrR&H*nj-bPANxt$}r*eA0KMiB#sOFzj+plcbP?NR>XMe
zJ{#*IsAa`?v9!?~Tn2d}#c|PedcY(s&ci&rB_%0Jh%cBG(%FvkZGvp!X-D)@&zm4(
z&~fH)Zd!D*8a!sF`~1A<-%m~OWEj;s>)$`6%%UUP1q-PfM^kR<xeuJJ07)fUPxb%<
zwj~>$0$<KE>(>)WAd81*3Vc0J!07Erd!X19n85-sO_08&?EMMv=b0^thR;0uBu}9@
z90kpz3?8tlF5$>*um3I2Ye6);y7E1qL~%G~Q&)b$Gg}Z3&;3fj=Lr-?gJ_f=H&|Uc
z`o<DgM|kAO-ZoX?2|T*cIFo0#sBD1G%b8Wy@B~Vrfi%j?1_Yp}al;Koxsqp<#lo<#
z!UT5oK)|zBL7^<ZR_XMg3GZ6PXXd?_ryU^-J)3#ii6q=#ui@F{1R~eqQxOe5n=dV#
zJO=E*S&C?Q%2w~)j>9>wRM?opGZxZ9r5*Ff$+c&0gu|w_V!uMf)XU@9<UPkj+<tyw
zOZtYHaoE&=tK6J8dmZ@D_j<MOEcpwRfx+ZsyeJrwi}>J)hy&4yPQCpR3B|(_AMw>9
zxT_7*uV5i9p|Ga##77jra&slR?<>{j%;fYwwR2=eQozIn*9eN^56)5OT-X0UN4L}5
z{r__)<qeN`01{wS_T8+BN!G04EQjpyh^1C@)zs;H)!IUvP!Bl-9Jh|GDk@;&zlq^+
zR&$Y6C}86EP%#S`1x#qXG654AxB>wao_t5BfC(iS8mDe135FQAhIAGPg*^Nq2Q-W!
zkXLSekFxT2X>Jqy2$kxl>CX66vo^8qswVt*+XfYvJp_BE?w;uO?c0SC)OOS-#QCUt
zZL}c=YrKB1HVP*=NOBydP#YD}9#em6lt`M+zR4EXu!yj|tm1~wfa(H@fk~EPEbE>a
zheT@fMwfv8&d^)ZJru6JhBJI{(rkQm|K0ml=vi0$93@oxZyT#k)VLHOxC?jejQwOj
zm~l$og>Vu2_}G3-J{_L~PA<o$dpLr7M4*3-=Fy-2oEgo@v@f7Jo_xniNyIx^z0#!H
z-ObJF;Wl5hPIZv<XrQfGY?bQ3|92wvRmR2O6c!m5^F^WByFIarHyPi$IwVO6kvguY
z!6b#d+fjp5oO~e25T#dOp_~~vJ)ZZhm%wehG@HWh)EHy9b82E@Y7gGQD*{&rI`zGs
z^PYI_)-{)J-f+?R=We}d^O`MduH3W*eu_`S!^2M;8mKora9er3ecm>>__x;ToOkYJ
z8?QVcZu)JGsh=cCP}PPt7hbgC{3os&I?!SpR-b;_>Pq#ZEn7BiIrYp{m8+Wdz0-9V
za?xHM1At&GnQ8)D!)UpTD4Sb8yu50=dL%e~;9~D1)icVvxGkT7`)_-Lk_3-%+<)8K
zAwvQ2!0Lp6z^_$9>42BKON@-~D54Z-{wH4mt%PH>i(&ZrQ&|}19T?(wOiYblKXSv&
zRHtqX@t}HmKql>l$LI7I*mjSHc7{4t>vZx-(Sm!+wqO8S@G&UNMd{-la*v>+8XFaQ
zN6~_BiKtwTia5;lc~m@92HlIxrNtp7>zhWBM#l%Rm9a;L)q3OySSWgQ?4EXI8d;_d
z5Hi9<f)io}6Ew<B)pO!wAr(l)nVRrl(M>Ro?&N4F7I`aoSJGuIGP1jW1(lLHmT}@^
ziV3u*b)H?DBW|`!g(t7lZ6m4$T9)0diD=p(s^6Wyd-CkJFC|@|k>2iuj&;_Scy<#7
z*=g0&XTMc~?5woNt7KQqev|s7WZqu#Z1U`y{T30`0)6CHt=I<LGPfH9P6bDe?tT~=
zgj5UkQ0BOAX6%D~4P${x6I41W6is1QVPtIlJ54y@X#p)6X>8!EUC7vAsjH(2%6l4R
zAE^sGl!ILx5uT$7G(R&(6EIyIP51`LiMYUne$CF&giZ1Vul}7uScl63sCDP~M7=dk
z>pHj@WEj7Wq|b#7Z}snL$Q(T!HuyGQGjpmSjfJ+a?vUpW)B`lD>D;F{Q2;icIy)fm
z`53C~sC7mgBW-w^Yc)P=1K-a)gH9q`Qg6cLPo1fjJcE$ZLyw*ERbzeWUqf_xi1=3-
zkm=PSi#1%rBG!M~*6_cvBMyJw;HSE5_v3SKO|J2A4i?OyIGU#b(z7Kg_I;NExd2En
z9_hnjghjWornEmYZax%(`PbMD4+o4N!xQlDu1W%)-Ed5?77XdZ3p4zmmf2ae)XZYb
z_(@K^;km<HQuO;U!ifZ|L!0Y^@ML60C;kqU5c(?>9DNchB&|}^QgD^qUV0VPpEih>
z^C0>gav8NbPMEgw1pLAz33!AFQv$+tR0f&g@;fY4H#qe>9c%27&8ARI3V=QB#}upm
zhDL|O;9ugDa$4o@1fB`6G4Bg4c`Z*n0@0pBOGHZ?#bZU=gS?Q*=xbCy$~K$5MunGt
z*fcM8jmnpKPD)&(A{cb=G&+(U$WA5$G0wEgjA=`)!jufI3+Jmn!rjj{KX4J(_n=Vh
zboq0hfM2;J0gs$vilyP{h<+>{AkUbg!BI}!_+q26=vKRSXCyE>F>-t>c&*HQpl<^k
z4i|nL&#NC;Ng!)Tc$|_ec>=}3C>Bbd!GaBsUClFF6pd_n?4>+`5@;Ze=z!1+8caaw
zHl9@$3y;bnX-nmzCe=x&l%q;zn24TKpUcyZ=&PP5RncG0B;cP^`N0k*wAj1JUe7k0
zom6vqC^o6SkLRSsq$(J6@H9G-om7wUxgavL=RlfEO`YZ^d#3mz+rq%S`8g<L5AWe+
z=Ktae`1MB;@F+2+SW2AEo8-O@tS>zd^`AO5If`xcN#q<!G@=K>9}|WSQNLpGXcSPa
zL!N7cXH#btE0+gLvF4w7h7vveX^Y(Bc`iyQm0+%jQsw8x1A(cJEO`jsW!VFPYx?E;
z%UUu^bkz=i=dk!$k!EqXiyD-o#rG+|ggpd=ExZjp!~P*a63F7>JrMRBo<wnFE_xuW
z2p*F>vjy=8dpU06=@bXWBvoEgSo`<oJkNc@=Jh<CM+zIp8h$^|F^i06B1M6<CekQt
z_%lu^dj@HgVZv(-o04YF9)Hhs@JMwWE7TA2JhP}}2SA_u?Uy`-2vmArDP%@K7Lvuc
z+2U73km4XYmZ$KDK*FeZm1mcekz8X&9d`5CGil-EL9lUV>9E@he)ATi;OSJGFtg~K
z(?81%O0aLwo}ak~)(F+ScynuNwBBx4AUHx^z^5OLfmcZ}tXXasLQw9GeU-K9P{anf
zXmw(3vw1mQ>8lU3^{YBPY$car*A6C^@I7n@B%*<5*yi-cEOp{K*=Fd(*}u&9+9Cj}
z;LvAdq2<!P54>zs{IJ>u6hrMftcKxtc<nF9DjrtDbC;v7daYBh)F*e;$HwR*MB$57
zeX{6~RPwvIr`YyH17OAwT?nPTr`Xz%0JF326dNX4)`K%9_k4=2>kx3}2U}UxDYn~*
z;c!-SAz$be+smP17BY&a)p%vj;$+|ooW=3vt42$V9&ozxWnfrxX{Hl`=fDXCaZTsI
zj6q!T+}k8&<<GsHL%Tg~@6pa#I@R`hV9ONWu*k5zu1>XmhFa-W6ihNHxgohdE6TSW
z0^z1$x2R{OiQ#ZoQ&Ez)K<3EE^W+~PFAEtdipDFWC>gi{isH$adlD_xkKC-F7A}Q+
zwYV<_)Pid9OluRgQWb|mac@vYjnTQ!$=Y;V294lc0;jpg;mlrh6igaCfz+w*f*?KL
zWa8|m%J32AtA>mMLyvx*Ez4o~VMRb`&EZg8V0yu%c&%AT&?twa{L5y2rBh*;bwf*@
zL=1+rme!J0P%#S;X^Ftc8X%I>R|7C2CNLB8|BNzil%2p%-(vGulJ#vjZz@B1!)&2@
zMOk#a?22_)nMOvzOYb8pc<sj$N$>WSp*+(!cr%`X<i@fHCoeGM*NrZJMVV$wfWg7F
z%5jrpiZzA=rV>xSC&!JddWh*p7JzBRrItUf9GcUS1*etO>F!{q3KIm)A{%F5@zJ7n
zNo^9YRd2)8K_`PLGk(YQjBgq-cNV1xo1Zj9B*>q1x+FZbvZJG#Kt4{$c+D<MvO1p~
z;L@E#IB}m1nfN=WvM}4m<ncGeTsUj#$>Zx#F$)h(9vYjBUSyyN=!GZWiIH-md%YW5
z0yM*=m#-Q3<UpL!47N&jOF$A~#>pcp=sSo!qH;B5&40+`D0l&Arqz^(4YbyQkRK&a
z$_o9Z6pb@!*JGb=%Y0b&5EyxLz_D0pd2$u72gjwMHP&4{-Jvz&F)X;0s#6<pqAyJy
zVMiwhoP{usMF<N_pP^2wShp}%iq)grC8`)qPAbwgbe*XN9SVYVA{5R$JuN#F(TM6$
zivad54mJQ@?kx~Uw(z90r+bgw;wESmsCO?e0)gt?wOB~=n(1A`uuFUGYAhpq&9U_o
zN*YX_RfH9@Hx7f|xDpCS_6BlatT&KA+8eyOPm9-m*2&H*bRbOmrnTeHb0F+3P%-yb
z4W^3&VYfj$#ep#TH9H5wuECe`Mki|R-XC+OTGA(-FUGM5JnZEThH18fN5dY~kK12Z
zYuDF7`{f?QREwUFCWQ7=yh!6Zb&U|HF{o9wQCA<jTLZfy8j~tjG}5e1!kII08Pjny
z94EGA=&Ivt!bodeuZbK+b%>{g^c}|bM|-4sZM1r;V6_C)?$x@~9Ph966y6fu56ZV-
ze6cZmr*6IP=@|YbUW#1u4y?vG(sqO+1A>?I$dEVPdeAzpK(%AQ_+&TaQ*1*5@qqV2
zAv+i-91r+ao`8R!QxfomF<^>i=o|5XpfIArj`0u1lqXF5hfYml^T{;bnS*A<!o<H%
z7&=7#@qhx2@a(445}&*IsIOXM_eABza5tYI+V9)0h#Gsca4*1e&ieeY7uY@LG~M7a
z5^q5yIxguDpl=IpID+jso>#xnN&;Clj>-()4m79m<cdS%q1XdX;TwA|;2CFe@+dbV
zXeoD8jM5gTlp|PWm;gD+cB3y2XN;#E(Q_GZTUXF2*k8G$gNh09DScWvc?FCgvlJ5&
zxNz7opkSSfQ6Y2Kpr9a#yXDN{jbt$bSx&s9-l@>cj2^elAW@mxk-*JzI#4AxyPn{a
zm!fnICbvfmDRuy^reBFISV4_>u`HaohI`6<qNUmnm1yH86))Uju8N&_=IV?$14*$`
zdJFz~5Nb~7S74<i*@ZP(V_2EN!uW0+cMBNc$HM>ygsn*F#c)+0yu94rj~4p2?zIzB
zHF(CeH8nXhHr~Fz=UX&Huj=<a*Y~t!vUv-yo9=xS-|LW(?qRo8WCk;frwam$C%c~N
z*m!HY)@h{6C%sZ5+pyZpO6lHcMN(!Ku9QBiOLY%`9!i%>hug@jwTAmy4@czI`icgl
z_`)d#GWjxA<1CyGGrL}JldhVwiRO}Nu`H_Ep#Qd+|0kCDz+&kip^$BNh8Ii!n<wBm
zWh4QQJ%uTjJym+KwBUtyO^%HfVdprHRTWz-9R%bv6OezgB+#&@9CPGXnu&|0f1s`j
zw?*Z}#gb3>?8VX&d!+GLkVXz$uukbWyauIcLvoc5WTR&#8p@FL0g}R=d=RjmB}4Mb
zQ8R&xF`ny#E?Hq8mYSSrQVwqbJ4Qr9gNGKQq~S_$G;1og%C7O<^=1Vp$I4U_wt3pu
zYtyo5F)h8xl_<G`$(CpVRwm}3V~d1|xk(nzXt*JKxP>K6OoauQn0gvW1uxFT90!uZ
z#7yuPnV9q|WMT?-doeLb(&=(yd`GL++ShL@b7P;ZOvzr@(7bPs8k)LcdA4RVcZ5-0
zXuIm;Iv`^U_imZKFk1iAoQ9U^ZMszV!06J{I6W$(ZOXRur0C&{Ow_wID#cCI6w&0B
zSdC+%F45xR+NVy6X`C*=LW+Cwht2RiS%w2<>D!=CtXcX|o`Byhl>|IyDW>$tEd8oe
zQ`nS?^eGoJOTSDQIz;_usX)V?rb1@vTYS|TbD>gUG)sK~XPc!@?PXB%7_p`6vxWB8
z{qDNbd_^0`{~p&b%0TvYO)3D%jZoVx8OYVx=}X(lbAR|JGx-)NRC#9dP|!@?Gu~;)
zSV%d=Ya_W>Aua96@)wbbJc$2^eae8mus36Cgo*rESvb-}Ryd$5mnzA|tK@oN&j6Cb
zL_QOLk%>&dLMF0cw-*!n8og#2q2MUG;}^b_iZrRzI^f~mG1IB9+TZQX0c*1rw2Otg
zzy*MWR<14qiW^CdnZrHlu&M2S)*?q{%m!B8_z;Clb=mHxAH}wQV3>2!A|osfkfAwV
zgyz6e$JG^QGj^M9yX?>GP9W7_qdn@Ba*P6F_MR0>1exYS=ak8SR)5;L$#alv2cE-M
zPPghB!j;PKJPPi=c2aBvZjMGEj~Qc<Tnm-X(j*zFi)v5uK+pr4BQKKu<ewu$8)k<8
zMO6Tki<Y0X%MAa^5<LR%ubZ}R@&NAWy$Sdb^UIs@7tJs9D=@!EZ7jRPcV)Y_yFSvH
z>d*e3-r2h>&bkhaR3=ZsY2{IUEkMSXF>JRf&(m^F1Txt@J$-_z+DK=~!)(eTq}l#x
zk63>pH9>^}+haCAL*Apy&i(FrtJ*a0W_QVqyUMePrk6r*naNmk{kM(z|J1nooGSre
z#aE$FtgqtxJORJ2LK5)!Dlo;g+8d>}(0=9AWJ{YlKF*4T@C(AwA?o*42sG>=-Q-Wr
z-?)YLWnZ<1wWIQ)uOii%<Vy$!jt#c2LWDk%1ZAx*U;NdI7u((Aw9jB91ZvOmSC0o4
zxMi6{KzRjxAf!+y9{^xx$>2F5VyIOP0og%hF#I|8l{oH_y_m-gXW9xgth@IFXVh!{
zJ*N{Rv+MCAS%;lHm|Pg$=W4I%LnLj~m}khsT#p&Hj%qvDI$C7Y-ZE?*CY<TnKvEbw
z&%s}0=+Li#p_2%9ds#?tX~W@<X?P2IviH*;+SIwEH&aJ*6gG4|`Y2v&dJG+-MR{h<
z(?YtZ>!_Y|()D|4tzGTal{L+MbnwG#<qV`<tCnWwC#@~y1L&}-!dp1gx@>oj_e*Nu
zEVV#(_h3A!Rr?a_`6r#EK*ygp*e}(9`Ai%3w%z{$MZv&HZHq-h78Eh{r%muREWv;+
zB}o~P)!}fYKjR7bZ7E5>V@qL5$d&?`7mdx%`v+s1-SSU5H5H%s-EbtN5xo)caUh?W
zK>W6pK*OFgLblWkeAOBzjA=`y+L=5b!RUi6^<dAS_H0YtABTXlrF<ZyP$vo0HcPhD
z@wwx<wxmS&knu4o5%#-Y^pV`|@Ky*6$A{W!3a@wIN}tO3PW-a3Qs0X=%86JWF-YhQ
zilW7|P9=x^53;NV@IQsNC?>E)VvAz2ESymcLxK&<N?`$(l@{Q%@8T@0<AJ2Gte%L!
z$g-keA<Igzo7oI871Chwp(zDNa`ZH|GgGjd{6`B;{Vt?%Z=aJ3lLd#TY7Xg_%VFa%
z<%K96!+xnDlT+=EcHvgUsZzY+Bg%q<?UM7NGMaBcngneF4_ao36t_F_-9Q7XWA&Z2
znTgH_-H=6*-RO+IYUBEio37coatPF9%t_n4W*vOrIRPHXdUK>*M@51M8+F-h_nvmT
z`+q1f-iD_w>#{Pi#CA+gO#rDYTQl{cN~_i!gYyCH4&2_jTK+Y>g+9UygK&)q{5yfl
zd2^+MFN)jG4z8l<%?v+ZBn}DaIbQy$wUR8jOQlvR=?KqsYIZ;u|2kc&`=Lj%O&#cO
zd64>6?Up(*P8=1IvDs~;uhE$K%(rUej>bzZFSf$_77Op>YOIEq1F2{7F~NokCuK0*
z=CGc_;p-c3@N#%(h{Mz{{>uYF#iWL%LH{fGR>}OS)xFfpuf)muYWK-aY@Y;d@I6o{
z)}MJhPrz@3O9CDn98;|EIBmV&7xe`Fcy>JB<kS=%nL@5N*9LFH`EAn%Z~SZbkm-G^
z#pJpXojKnGNq!xH=TP$--#iRpg~h&5^a-}D?9wim2kRk~C3;p<(r0|JCGTrIPbHpJ
z5v<xqm}wfR5fA;oZR!PMcVL-+63*z@5}i-CF#Te;@W*Tm1G@D?!C2J#_E$Uszivqa
z9^Jx}{^-`BFR^QKq}{Nn`>R`vfo{fr_v;o9Ljm2YvTbE`E0+gLw-&BMt58Xu{L7ZO
z)jTgHbV{&TQm0NWXuxKa?Wjxzs`;K28;Y$g6anSiMDi2&gm8@~;8#9Lz@vPa(jVp9
z<J9zUDPNnwbEx^1kB6av^6h8a$|_$j50>&RTj?&h@Ncb+p=4Vo-_CPeLOn$zN~-4|
zvs}!m;^B5?rHAfkyTPAg8yrx=dr6Msl<=!O0lyMT0v;vAlz<X0z_qk!b=Jiz679DC
z(5cH&jN)^kAd+ujexLAj$och<N1}ip9(216oK2n8!(1LLJzRjk3?+Qx4;%KQc}_~`
zm|(D^j-B6|*CnHdhne*$9PE!a9w)PS1XOS(6pCHoox>CGtDq#{Q9(=zsNgEm_6VPq
zge|M6ORXxLU71Y|X<LZRl|-b~>QKv9-Sq-@4=k8s!D1{BZdP(I?`Ee(JDpNai~N1V
zGXY|eh1GKj@m`*E@!>D?T&aI~oy&a`aCh?D_YJrO=x}v9?JYd*;>Zaiy-J@w9)xA?
zV?6tPgU<V|=2v*)#j*3et2vu;_XD2)zJce9Mf*QI?Fj5*_D?zVoH^ESv+z?#0h{H>
zJM1CV9voSlC6@==X3>E#aOlN{{1bUjO4uxdK?hHx2eYoQ{Ja<fnQqLa8wF{}<Qd>W
z>gSGiV^MMz#@g>fr<k~0P12?P=rz(|1)ZLa?5i4~ed{s$3HHN;FLw2Har-ekWXjwe
zyiVE{%esqYrRngUegdd2aXK}fHoNQk#z%4~z@zq=k}XJ5Y{@*mhbE>CqAk2Dorc(Y
zQcbo33*s~$c)L&WY$fBC^d*o9K-mm+WgK*dTy__=>O04#M)xPzVXek{(8(V{(e7eM
zrn@=Sp0)3xCkR7p?!P_R2{j~Zp_F(m4rM55V68o2Bi#7Q=jgs9sSQddci0M>h_~oX
zLp~WCu?~My46UJ67jK=}AvS%@>;Ft;sldyCmFe^g-N#R_URFloRZH5>*Wn-is!p$e
zl6}baV6sOtpT7q!TRxXN*V|L4T-F@#jMpac{R5243GC;J%N%uw6fBkE{t|)vi;Lo(
zya-FISbs3iG_o*^?b(+&^WQBP*o@J`6ndmqN9HHZD~)ikEyAdJtKg5Y&~h~$fkIg?
zQ9!*g5Ep-l^I~fYw^D^YMSAgOJ%mo7GTD!;bsDt}1btAS%7P+?n569IIGuf9IZ-%Y
zZD2kU4UGB1i#_Jz=)dp~Qp68Jb+C-^J<y3s*80|2WLnRPiR-Xs13X*1UvVn4XDo9e
zkIcz82ERzmg|nKIQK82;{~9W0;h}9|jZNkOoD4L92XH+3PAw`ny8F9@i-OL&9Hf>Z
z#=|+d!xS@^ye|iI>>v3w=esE@|1{_MdMmbw=0Ksa))d(9J@}=z42NZj6$hm)zo!O!
zwFQ&<rY(<+X4}w~W1$dh$eE_w_kmrXp+=UR9Yv8m9x7(xA#KsvWV9s%O+Z^b`A*K)
zmQ++yO(|6DRR<k3?;!ji2*1lhzPkLDL?SF#1=VGJW_vYN8y$04nQ6n*oNx|mdZq)<
zlXv#i;TAqwus${*pH~t_L)D&fJe#y~(DtNgKxs<e94(Zruqa*HK;r7vB~0p@F4djN
z_^y&O&kkZPoYkCplJ6JLrCm@l3lHg%#wMdn8E68!<jHqhVfoSh-z{Dil*#2GUzsk;
zfxVzI-C}Q$R;svRNVc1b|6N^yrB8hog~C%r?w;|9i3&Vbw!7XE@$!@K4DQ6hcyp}2
z7v3}!@8gQ8Nk70YBInVFw@g8w!RPMHO5JlmYv4)o-ViOptYj(0dkul?RXj|JS3G0?
z6`W|a8EZ5CA*Z^qJ{i;4`-#19*3zo?VW^k|h*VFblTp14I04o3<Qscf<V}O$eR$}B
zio0#iSMgWpbZ<cwf1|niTB%xliKOY`3+O6@*jM17V+S1`pvF7uViv^}oX9h=4^BN!
z!1D;015Ox2)IPkFJq{P!?rFgM+SxND^t)YY;Hl*L4KuZg%GC7qRI4)sYk67>4yZeE
z#T@LNg6*wgIRe-pbx)H1|4XzQvEr@t|3T^jul{3Fy#70Tsj?-`SGy^{cL;>l+!zsl
zOALpzmL3u2bz?>ZjaOzw$iNjC5j^>BeT3ywcT4w?<^)C&7oYr5<cB#Tkr_qUD%HEK
z?})JF<ujk?YRYlgCNqm@O|d_sR`rr3WVQ5fSZyQ-=T-FMBU>BwiRn_8L8qQ!7#M{s
zSs&NGFm4AU;L03Ep6r8M+NG%cz}#7`6S;b!t*4w{(Yt!)p(y*ILN(q}(?rYM>)N)%
zuweE=c;r!gc6dPQ*}BxD`fxi3qC6#)o-$e>x=id}i9htfK~vL&ZnXb|6L)?n1uVH9
ztDzH4>G`4gRdK#8DDw(@+ywR2)#E)dFJYTzdd|%G$9&8$X78PL!;CX2dS4aKrMwVW
z;5<4K0d;oS2SPgTC09ai{oDyAR%tW1`vg|1U@)dPxE{@SKClgtJ8oA?iOAjCUa_v;
z9)*iS>y_FBoV2d(fRmf)xof?dlb21aTJnCRJea&!GN4Aw@W6zS!+zmh9*JmQ^j#Wq
zW0Ujp%bMu;!pR6XU?yvww%FA)E}3i(4{Vz0__LW)TwC`>pKDD!?>^CapD5aS$-P)Y
zY`vv8l-hb*EFOMut9>{9x8{;Y^S>>^qS|!(Di&HUhw#kv@6v8bFCsAR<H|(d$VeQJ
z^dA)Agtjfd2PL?%5-mb$yCKJsw%b=CYL&K|>LR6_>B#HZX;BZ4s3AoIn7t1m_g3XY
zUk0m~A7Nz0Vfc%#ETCWRg#g0ZS}tbl(su&v1brKAzybIsoP!^&k4)5?yE=_>mqMAE
zNK5qb(ezR9D|@px{cQGNf4(F%NBAkxP1CC@&6&yReZ$SMTB}vt2PgjPZMb#-;-1jA
z5V}qPZVhNoPt-=?P5|S&0J3ngm~bo_ug)z-?*>4p)m!~-tM`*ZJc`@3$LmtvFVDS$
z|HJ;y$ymC}LivR48%nkTK1)MY+!{_{PR_(?9BX(pDnmb|NeWSVvi%P{6lA9KK=%U7
zq{K}8VMFjt7J|UphKr$)9m^cPK<ZgM0e?8IB;X0+#}rd1j0>}tTB<7=?Sw#p6V1tG
zqtSF~4;yTuHH5tt>ryiV$k~-dLI^wL{lUBftMKflmR)#c`$DSLII_Le8s9SF1F?cM
z{3!|2f7`I##lz<3`(=U`<19f~h~C5#@C%V7;1MEB2?)^wJz%H7rqU(?^M?}cwtvK_
z%jq*SFw@x2H<z7`$Ot0QlJY@<(V@yAUQ$w)Wj4C$CY_APc($db3&)dUL-`Lpl>SD2
zo!TFF)bT-{fM1Lx0go7AN<fSXUZn9`rzWR6iwhCakCvhTBn%y*9NZ;k=op`wl#!st
zGM657)ZezW9QSe?{V4Vap-}A1bqY_wFD;UQM_Mo?AT7qmY<9x(ZPc!H>T=p%TwVl`
zXn}bK!RS!+3k(kkxMpH6V7ZQMGkew~mk0Z-N#6O`7SBnEvnGPUB3hN77u~ErBh_)U
z7M<_zVjCahX6<dhdznx441sritUd%%?2;$I$Tv$q*5P8yPjy-3fwgEOr{D@XyXE>}
zFIy`Ed8FAXo~@;b9=u#{ssg+8b=dviwF|=OaAi|zH)_)m=2L4|rds2>#+$VX`#?k=
zYt*w(@-b8axXV6T6O?!NfLf1J*Z#T00J=7N#Gu;eGX{TE1aRf<{1O&gF4yP*cW3c4
z2IrFWRh!ewQ$(>VS_Z*lQ4Vhzfkyc$+^pUb7LOh0nY&PbFuL((P{{|NRC;y`eX8;t
z!TpdBI7fg<mZ9R<B=$LiffNH}u$iB<){w*cH%`@#1z`;1$f}I({7+&voYh>47dln&
z5LC>9MFD0SsZ2OY2B<(di6`I6SW(gVb)$>G(Bx7~XFQK@o80l=&jA_xL!Kh|N6N~d
zBDhG6;P7zIXor*oe^lU<n;6dV>{@LUHrpx__1*OeBYF!)^X3?abnX<}A5K8Dc0tHh
zrT$wZMUr;bowg8%#fOyur7ovIbpdt3q<D2P{0n}6!evf%Va5#=xtQ1sXEjwMITA9*
z9wk^0d0Bu+MKn4Y70G}TP!UhQGs_5!7J_c6;-ES%C;6&#N)Gr1Rp*L~qs2H;0MA)M
zu;ZS__-Lb&OpP}w!dadlfGEjbb%<(iQT*e8tOoM?<{OVQCe}^!JZP^e@L{oIB}b{&
zEd-x8yb+U3O0G-Jo{3VQ%QA7gO$!5!2(NZ33$tw~*4@NhIBRLe`eUe=g@+VNW0O&=
z3^W17^5i?aT~3NLoZYfDfO@(7<g3?>IbBdty-t_jB;#-aXbOcG!^||kbD!Gs!^_fX
zQ_rV9kv^)gMavv33rbbKLQr^B1(V`c#c(+JPXheVsV=MmhO+z<u@}x-T3LPs6|(@5
zvS@TN%8~&mpe&wz$K?q}suj6eLHu0``Qrb@98fdj&sM1-XTKF;?#bv2TtG!eUwmFz
zhPxq-){cX%CN~-1x;mUi*>Eb{MT1Er_NrIdG98vI1mQ*zy?Y`S%31Fju}LSPl~KjB
z1LqA753d3@0`2tcFGFOBQkq)c7)9>C?d?tx_#%s7T6zsg*C>@wXfRn_r0rzEKNU(u
z2Gk%%g}RiNDH%|sd;x_5YLstCcUd-|Mi{Kj>uN{h@IV1IW6&@WP(#0FC!l7RJZ^?B
z$--1RGuoNK2P10WeA?F@??YgXj^Dl(y$0}zNBraGW`NEx&u0&jHGdXzZSoYWDh3I{
zX;QC2CdS4(lqUjjwgJu<WYgI`RIzS%pgl<U^$$1jCXJ6?!852dJTIF)Ox?n&D*wXT
zK3%r^Kj&buP9B_2P|U7}NdSb!W`sE$>m@9+rO`4=bT%ak#uvNO_v?=Hg$@PcW?lh>
zVs{_k$`kPKK1u?f-A7EZ?8CIxrn`<NWXInJ_NJM|#^Ga5z2Q09wEmdz2a{Cve&mM<
zSckTMKT<#xp3uy2nJ!gp$Wed7Wxm5>=I8sHf|sapnV;|k{IVkncw`4t0<vScv$9g-
z3zzx5Q<u|ch6gxOUJ8cG{Dxq3sB(yxl$7P{ES4F0mRi}>=;M5~HSdXc*}W3grWH^q
zb_6<&C*YSNNx&mTm=chp!_f#&=Xi-uoIqXdRO`Sn>jHIQ2GMP*`{r#+?SER(Je%j$
zkEkS&MT7iZwoL5e2^0sTSR7FXi}^!3#u<Ow%-+Z|TNDkj4jlq7;R%#L18GE0N*Off
z!39ntJQ;r3SiFvBmBYdrp!{Q*P)jGP0RTJe9i26~rHZCTgmVX)Y^U?pZu7_aHv1d$
z5hxTpfPIlC;0IL_@C;y>5*WZz*K?Gbe%Gm~=P|38ntqEgbck|rmz0~s^;Kg2P|*VS
zf*tfq8~Z5ce@pF*3k^M-C*YSANx&m3n9?6vc@oc<p~H~|Q!!bo0Qrnp$uBDcjUuv=
zpBIDJ(lv7OQnVg%QQ2b<+vWWRwV)MxnGaQ?E1e)V9|9?MNe57wr69Jm%XxZKFq`Z!
z3KiNdE&tpou=Cc+D6pAk>R!{kG7wJ#VPD$q2JYF3naL)^3<&R=J|5a*Eqba-+9)f7
z$qmsW1I}nV%X>gNbf_zv5(}7!(}SWvzp??>sMgx;nMu5O3vSnvU9$(G^W<hUgzZrr
zAM_yXOT#H^v2{H}As?OE^-vJQLm*6KpoaH)=^&Bxa-TLle?3~C?$8Nhq>|o}Mr)|{
zaOJXQWfU(f$7(v`@NDmBW2y~jyPNwu4ctE8fw%D0Mz7!1nwn{j4OOOa(|pf3WKkCj
zVF@fE@9G;sI<5L-ZM=!)B^_nV{lC}nR5_k6l;gId%8@)5ONg`5sWd$dF@*bzaH{r{
z?!rRL)nEqmVPEbkK3{tqD^=_08ih-#pbio1v8UdGD+$C6SD-{Q(^E}hg4<DqhPzT)
z;Kmo-YqS=9e>4#0&g%q}^2QUs8xmkR@ZC#{NtP|-*vNJihjTtpEhH>}oW;{$Is_c!
z(3n?^&Faq(!{Mx^HB~68@C#5e3mI)zYrHa>)fu<~o7J9t$L9-;7J_a>W|;O|Dyi8K
ziX?nT4zR|C_1h>bA4zywHj>akE#Sp)^%}%Q2@qhshJ87>X0<gnDPj(N3ZtV3rJU)%
zHBO`~4*{d52#3Xn?Rgc)@n6(#ud-m0Nr?}6GTg8JXu_lKwyO&>Zm7l)P$*;b8(L(l
zM)ECSI5wK_7^s*9h*U$PlTnQfI04o0<a=saq0xfSEnNkuk;_rO8vUANgzqmIkQ<{$
z=UEQsN*b0sS(|RFdlE&g`Z(xOa}>-lGS=$5>Md^|uH&3m1GPoR8K|EbEsd;{C^fp6
z<kYK1nAAr#8gZ)QyG6#WUrX$TvzAt)8dS^zL~5kb$*55VoPZj6@;y0DTvDZpEC4Fv
zQp;D7wK)J6oM|3i??(Jlw8*idpmgPK!pf^Fm=v!osjJf)W&0kdvat9Y6V5w{xp3Cf
zn({uVn1zQlMPrlElngWhP4VO_{P;tvGlh$S_P8A6YtJikKrg60kL<e<4@8R{D-KFq
z{)w>hY6~XyO<VrUsVuAlhPM2gm<wkutu4QSidlF_TQoKqZOK3r&=ya=LJvTsno_73
zXo*WXUrWB519nDB*eX@{?OP*^I~jh9zK6(I&6iWw{6m+K;kVD&Z%cYu;t&KGetRw!
z%5jw#PQxdqj=jq6+Qdwq+<MwQC_ISD(H56Em5#XlAQqd8w3LEvFNYG`5(yEJ9f*h&
z>OfwCWU#GrniUGRRW5klL7rgSZ-EeXnP6K?7s0kSLc>I`E&ZCEVB5_Q{yJK3_cN;Y
zqTZrvB||-g&+ZCss;IUigXKeH!{M)sHSZz}LI16FhP)kjv+BSHwBD)9cK>1y2DEB`
zoXFMld+QS6dNKkDk96ykInscN+ymk7(nuGGKz%zDiVdIm7*D{zB`yhgw!|^TGMv)3
znlYc`M{qpEV2J(S_Pzv8?xM;cawp^>EFcbn<}gfRGMpj?2uH#Z0wEGE4RPq1>7@IY
zneMT>CkG@5iXzy8z=+B%UU&=2B`$~{E4b>e`vG-z7Y|(Bbv;&BT~}TH@4dR~S5;lV
z?jFeS`SbZu`Az?RRrTuCt9sw}>Q$Bgi7Bn$w956XDIFMfIs)}+VysoSd!3xI$Un>L
zu{d{8v6|p?CIa=p!aQ@+{YyqmR0Qe^;R@Wc!z*ye4!-foj^+YQOAUKz%FCW`f0$mD
z)n^_*XFy&uuKn*0^{1dih~q6v%GgJs9uwxIyG=(?^W%bYP7PP!mLgt(LyGW?-t*eo
zk?lmFUSt*fVhhxTDUSLhP%B|t-5li=q=y&zg3QsiBV0lD(UmP+DaDIm1nPUj#AfA2
zIs*0fa0M-JBU1!wiW`9l)O*6DhInC3P@!>eeX21at@WCJi_u{Ua3&u_EzyDKuxG-o
z(1?yi6d5(dKSKQ}4WZR)MTfaKpm>*D16&!S=&=2p7&0;pjP(q~4mG$cZyE-6>Ke6~
zF}GYq0-cGc#VjwE&%$f|WKbAg_{FaE(?Y`#W6OB3P8BDoyX4O(Ca|;@EiK>_pun*4
zZ5UB6{((2zhyXioZN4<1$L3)N;N9BXs)7Z@zHR!&>Dv7dvY*;3MD@;$o2YlD;XnHp
zCkj7_Upe#MNv2{B7MY}4`65In?VE*C;cnXpGtK8SU&l^2yO27r`@Aw-rnk<Byuq!u
za5jFeX9aZasdzp7dWu$xJ<bZPJL^EFriSioqZy++um2k))ETLCBoya~RKi!fu!Msz
zCKG>zbCUlh1&}-`XIcdYrB9r9wvq_+f2u2;Op!^eq2M5k$iL6{V+3U-hc5-j@U1KM
zrlvwGZRDL`K}w@i`|NZPU|`6j6<{#Z3N6(P{7&-lacsED7WlR$em8=s_1&#BGKS%E
z?XfLnJN?2G^V?gY=oZKnLOHsaXJY%Et+G9Nn<nP=4z2rJX(Q)4*rM7|AT%@J8)K^R
ztd%*wi#`ZYc2cIZ1MM0Wl=MaX9oD2LaWRC4DlMT;!x4YWM8w~cC3F_ci+5<?PpnSy
z&%wcAEmo1AqsD^sa&qp+m)~e_f5f+z1hjN!o$BS5vIBy(DQVv0KcJTR*^{xy=U6??
zoZ)6@vy9B-dO-dy+fU<a*85DZ`e}^n!s$>Pfdyw5;#;c=EsrC=G6I-vf7_hNQ>bo#
z12Qssr-%T2t;I2a>!P~nNYOnLa@`gbz*k1!1hEF|HZEFLA2K9o73U`$yM;#pt|apO
zpSG;xRztx-1~DW@)x-Rg);?Bid~;NaiF-971N!8sjLiT;#ICLR5IL*~gHuB!Sfq%~
zSQIh4@x^_#zakg+_o7cb7M*c})rEd3LniR(jO#E{6LV3E&NxCG!K$J(*y+5b4Y<K;
z8*IfY)!<e%I0k4#X#j7RlQ$N&l2yq}E4e{{K9q$g6vuIAgaGlbM&5O}t9N7P-sS4s
zh6@5~8^1}8&>Zwwmgb2re*`ndceyqZS`#MB5w3~x*=V9#o$YwF&F8ysQx63P0(JVg
zntvyPcaVFTIz2qW@ZcTcR}xOCaHiM5Rgoav!f`4)(-FKw)@dMk2j8>co$2p~C%Sr)
zp2jA4=R!D-xR);O?)cT_r=g1q{E96ejVB57hVeA+--*LlPKNER=z&|qf}<+c9<4zX
zx^l5~0B5lverTNQ^V-WYx~b24%i!LllN%_a2q&p^sfyR<ws+_j_k%zpb-?By$6~1n
zZ*kvW<{IZ6rVc5bF8e{~1nn17BOD=H?}`BmM`|g~C5K}%R>adBO9mJ%>iS9N`)+MX
zeTFJPv_t>NY{==shIo$CTLGD3gPG0`SKwaW<P|tV3Gj_BtXjL(28px+bu5?<S|$0#
zUe}+2aFlEd=0)P6RjGRgmvO_dtHiLxizZKW6`NkdEaD2TOAyWTJ@$*5d(!NlM8L|F
zwD)$J->j18Q=zUW&gk(k{%DQ6!?e1EmRFGG#_p-f+cKH&4_BvkU!*8HYHWi~{?oIb
z3KJgWlVflr2aUn4g}iMSbJ?!jE$)5a%4LnIR)~PfE!~amLUvQAe;KYjqUVx_C&R)9
z-cVZ4S3v=d^1IzL_E*!{Az2Oecm}=7oa_S)8l#|v1De7g5w<Xn5d|&M@5`ma8ET=K
z`3p`f)N`b*(bb-sC32O%q|jfNEA+9SOA$@}<^$B{^YEWcYw=y!g8is5b9m;^k`a13
zxV0qO4%U)HH%h*6C8L|Iod&F>g-|84mKNa?SxfZfv6d1>F4$$o9)Y&OaL0Ai{dbIZ
z7Y~33sMxq8acZFqw{d{q1PCgwYg~ZXZy2sdf-}Hj-*x+DlRQiO%=Qf?MVHrVVlcEA
zus+s?hM%gTn;v@y!N0ULhbbNpDvXWX@nm!OH#*EV*(m00`)4Vk<X%}G6wff2K0)Sf
zJUs5~M#c3}+X^@+q8n_>AUcm>EvSk_Z_UttGJEQclG`q`$73y=51C@Eg<`k@w=U-u
zH~<B{(I-C5T9|9gHnqOnrT6hm3v*m%6>MRS2)%D##!8h$EB#ASJoSUw>%+9VdCDtD
zqacSRbw{{@?99k!Nu_z=2dwvoNe%MCAzxUvAzx8|^$9DNB|NPV5e-<M4c8sfS8W4U
z)?X$j2u~dj&a*KeeTVh$g3S)zVI7`b0OFZ<Sg)>><&uKSVwilhDKci~CoSAz%?Pyk
zsdc389yka15CU@ITXYX7)tbB>+1G&p?}LMlH}Dx+L<1E(`ENAfb72c3(bHxQ>W^r?
zu$5dKP<&370$0Y!R$34T)`Y>tJBaZ5aa`1$#z(hieH_CV!SXWLN8u56dKaF)$Zic~
zA>Mfcgwh^qy#R?Sk~2^ux{}kQ1p`bCisc^XXpg$;6y9p+s<FSsd3_cZi$%;gVy5{*
zykP7&4q((oYPmv=xo$)>6r+p}Xy9t%1qWWiF>zpjZH9vf@Sr#;YD~JUP-PvF@>mi5
zCn-*3PE?~Cs;_J=hg{CE<ubeg_3Aoc5nmbV--1hKSnVW&cp}t={xAu@$|}xO4f^be
z_BIc7xsu59f2w;7GX*VQ4Fv}oM4>K{JE>5Y6mvY`c#iLSGD?hOV<T%$n0oB`)dX+*
z4A|7um27Ila_k)*yMW^-avA#q`m|$VDqn%(blLPv2$IXgR361l@xy(d3{#Pg6JbNT
zUa4+!y@js$rz|v6M8Q80)52}zU4d=O)D=NNNO(knn8Gtf6bKb9S?!1@xE06^9S4H%
znUCzR_(VQ3dh+<lxPz!w|JeG$N`9ahr|RB;Qf*WF{xRnE?39<xq|WOl8)rTuyH(8s
z3{LW)MzbI|gR(lDuNPH_fedHhPLNH)i`tk;{lvOSUMXY#D2Fv^-@R{%op*$-fzbqe
z$XqXnE>a-{vrW#6+0p*lWZ?qI440QJ><?9pOkRb>SiuD|^{!{ssK|o!OWjd8m1h-g
zkbj%R9~UIvW9J_OnPOdpXM`(odrx=;4o3pM(e<R}A|y8y;WZ1_0T^_+!7jE+@@pj>
zlLd_1Y;LfNh=*3C?tlWu4ZnU9BNGD(j&c?2@GhXoz$JWUK*4l#rg3;%wJ%J;y1LWs
z)oO}%AiO<}8^VF$Vu)gUG7Cz3u^kB3goK!Opg4cL&$?tz&*c*0^n7SmYR{Q~WpcPI
zCpJjK3Fc&l=5x%^f!Z-wDT8CAwn@4>vSyRwn|uxl>q<Vu=@VGd8mro%VwT4IWDe$F
z%dnr6jSFTI%dmnM05PQ=P?8t74Et56l0nQT@rfWNJ$WD|C%2tt*o&2T4wm|=`RcZg
zBh9nhTaQf<=m(pRjH?AnN5h)o%}R5;DSFWiX^rcGR6s=g==6tt6g3}$LI)x`{ejHY
zczN`x0;sz?x}EJecf64^8X^5(ORi*xsfwe?udo;krcRgQVq;Y6jSf&JVJ3l2*&ims
zlW#Slo;8uWvC^)PDHfXU5w5@uO?d?lXo_z-15FoNC0Q-kG|!ko(^nA>tx7}eHZ_&*
z`4qzvq3K^iaw1l9DAv^_a3(Z;Z99{a1IV^qo+-5Fbh_(WrYjmGuXc5}CS$x01xR*v
zjS_(5S?J|40?7-b^_N&^dl}6C1eL$X=k8`udGVP(sJx|wce>HK4cGA!C}+zg#XZ@E
zqTZEkiI#W)lfO$Ugc?@onM3meI=p$bqTmC-WT}Ug?8U+4YoSU8ldr=kg30vcgUO8C
zc3|>_umKAXXRcIxG14Axm1$>FRxV$Mr8u~pudr~m(Pp@!NthQKb8mDYT+zD%Zr6YZ
z8x<9xneBKF{u=vdDRl&8?hcAv*yHwLnYZ!SP7L^cQ=QE&LSoAQD}7+yxB|M=K1<^P
z*?8WgQJ%6#ty~r|&{V~kz!4-mv=SsR210+;yUG1XwZ)z}hYYL3@+#Fs1pJ%_k+SwH
zQ{=uI&4Xs-sQD_n0}34@T^Tzbg+u9OF&0Rre318)TUYu5%rzw=3IHV|Wk_|Jrevne
ziFmZ2gWlwM*omC{8R%eo<}dg}dWN1ndWMh4R#*JatK~Nrdh3-At@p{5zBAg=RXsXY
zUiH#=XeXYDQ*I5bP0hS6OMO$h&YJWZpA1aYwdG7bkC?p7AI)iNuiH$U)SSA*nsT1Z
zJO2CUF112B=1XczB;Q<)7SEE}LdX>Bw>UOjf!lAvD{%NN@J(m@7O%HTGNnzQBF6+M
zoJBmeDs}rU7&pvWU8hedar9ff%2liedc?Q5q^8D9axgLjCkNAS!GerE%apDN<V)IS
zYTF^;o8vejJOnN#C{`ykp|mkVJqO3kwZb{Tdx${89L{7nXi%58FIWp&)?SN(=tx+a
za;-tdel92N<W3}{E4iK1)7<ebjOy8#gRMQ?A{%3k1x;u*yd&BUct^^t>MjlM1hxR)
z2URk#b3Z;2*r6v6*hv_<?HJW-YhnvvC%6Bd-X`3UH2J~K1LF(qXf0|6bzbKkezK76
zMT<6Vft}N}rMZ*J+h}K^6Y0!Qy(@5z{*xRq<PZ1<F7WQr5=J?HFY`9WdB-S>Gs|Ey
z<DZHfa=h&}cjio3v`8==A5CWeOft*`Z-RSsegatm<fsdcrZ8C$m5D#i3V$E0(1WLV
zRoVuxrJ|Nyms%~Fc)JOJtXb2Ir+5VpJcVz3cnV~mk>PN>;5)PB`-BP8rt?@lg>^(P
z4D1QjryR3xJjJ+SY7HNrdXA*PVzSm29Z#vznfxoVwF7wS<hGgGHlAAMVr-fN0#CV^
zpje$e35*#dJau6630<No)<1-%p5h~*8Jg-@3kNFTRuXNiiE(5ikMCi#gj}%5noSO>
zq=<drm28L>0fDZ*M#4vp>*twMBSY&z4P6Od0J@SAtU50aUG0D>8M?X*p9o#ilMh`n
zasgeLHR&T#Bk`oG#DtZckB>OW%#7X1bJsw8`(%nPb~(H7HKXudl0tg2DJ;$uO1kB<
zAC{j}*jU(#x1OvK%PKi`5?c;dxT5eIESww@^<huCE)&>6d$f}}LI*m0I9*hCe&fb!
zVPn1y_eb<@7%BHth&TG8Yr})3`XO+OM70E0M%1_UR;mMqDm&o;PLeAR_rUEE)oOkl
zKUNO%AdFg^tHQMt5cFTG=j(7L9s8^29QqMHg<FvzrR_S~bM=wo!Gf88At|TsqFPXx
z!UF$=?i7E@Aw~G>!+c1Hu5CWIqp$u>nXB>Xofs0QyN#dzaGCTeEr^pP!Nl0lO(uU{
zvde|Lx{KEo-(`5Ag&N&qusXRHiy<Jd7UAZ(+Q`C+T(3;J9&19^t;O4%bY178OX1k}
z>}=zM4-bW<_isWW&!7<RTswmhiu4PU&EE;K*@J@r2{Ofc6@MD8z>R`=1r8L9Z;Yu?
z@jxz8I>K=1o!Rm~TP68tmsk{Bt5*#aT>NEY+VHleOuMZ{o&OyW&OZ|KtlHf0H_Qfr
zK@U&dWfwVJ?0UTDba*n``ieVDu9>w5jjN_K7zZCr<tj!{BL6n&Srn$Hh2swxnI^o@
zafz6=(DV8&>H+Om*F!Vv!_@GDxB^|Fiq_jdn@m_9WP)etodB6)hu-VM6}X2UufQ?%
z@Qr8ay@Koh6oBBIN}Hu@8??!gjaCJwl<K`1IU-plx?$=blKqUSjyB^Pqs^M-?>~$1
zGAozW5I5t)L_nXXndrZj`8{C@G@Bxlm3md}GSrk`KN~+5ZbZk}=vp3mC|q|017pnj
zkT_a%nOj4IM{5QR@occYK@HKA217$=3srEUJvnL3S>WekN?Onjj6jQ@S`P+w!?N~F
zpOmVYsh1}dh54h&k6rIHryy%Gam&SDfr;iY^ZP01ge!0lGhTsX%EULul&KKf!f3<M
zt2bsDMOZNBRpFLsT^>2>S+zBv_znOHfbR~r;2VQ2QJUm9E0@*z?!E~V;nXA()0Zc&
z4p*I>nN&x+EHs7MuR981>O00b7mnEyt~)#DVsT8<j*pVLYs2JsjCGUAQ)CU{JHwS{
z=N+%*#ge-R!t{5Hc`nWQRJiU4-nEWdnCMwLHmI8%b0kwL(N^uh1=}0MEMfHpxG5WE
z`JXT)EnpT#pv6zE2h*6P`L`HJq`afbWv6l`w}5Hf$wi;yl;kLkT74W%Znnvs*Gr2Y
zx53Y-6rC$N`YCm*FkBKA_n9+g>BVuLQ5j>YM`vHmvBh4Esk~4%1*xBaRr5b+X>4hL
zHCA+tj^uP;k8t56-B=~_kRIDc6IFxAkG{xihzTOPleItsI}{AuRZAR;F}SF68hivy
zSpa2)mZ%z2=)}hU(d1$*RXe{iISR5i;NHj$bS;Ef^>N+i3y~b<(W{dUP(rc~<YFhX
zp$sKOEVV7(FhAV<@wYfYBL;=iUPjYBBiOnVU{UZ?_>RYIy%Ha3kZGqMoVa$RkFCMz
zXU^;6B)0+1L(uj$l*$|7v_4oOqqQ)(YTAB5(%ebTMoPPqvpB)c*L`?v$7x?WJEnVO
zxl}LZ2TPX}Xbn5PhQjU&kR1@8K{5JGjL{cmWpuI*bL_WjBJ`4?-f?VY^8@T=tVx{~
zr~f2rr5S8E3!&l|yCKXpU#J@xHI7p&lOG(ereCNEw~>XfN8V_!wB)+M?@uROYHxD5
z?27BJIgH{Q9v<9=4{Z3*S*kNCBlY2tI%LKrS+T&XR%ZE<sd))+dNGG9i}VYVfA5Os
zpMKV(IrX9vm^_UJ=v7c0S-I(ZU-6Y;=1Qf>xN9DUsg`V<XDQuj6=o_fYuXb>Vctf>
z`9IZlQl_IY?}CDZ?4jiy$(z(sm?_qHj>2?&cUEUbOA1G$!v({%U{kNaB?hHfeMYA@
zUfHC>Q1JNu<yX+B;Q{&qb1f#<eO?*H;W}KQSez@53=MA+K@RI_)IwyC$dN16au6Vz
z%hzb?buoSM3=Axyun7zc*-|X^7jtll2+Y|9xSX|G5N8MR1)<!~2poIcSHN-^@HB_C
zy+p(ZwEeT}F`5p)2W-#>nP1q0@+yY&GsIQg*_pb=8DHr&*^3b7aGp%87EVq6mr44s
ztOEU{W4H6uZGS-o`aji&baEej>;jd9I?ekQlHb6$K^D=FX8bXlnjF3q7{ieIuIntk
zJ>@QwX@0`BHu6pgPM6FN#H)3Ap7v^`<~<-&5Yp=)J_~nW0R^|j-NuB)@{~z@G)1VV
zl}5&}ca||b2r;&PHEB7a6<UrPD~6xcD#MevY2v)z;`arfHokZ6F1zl6|G~7Lp4!FO
z<%|b!&qAwQd}GWl9)0NeE_o3rZQ0?C7qeE-q;|WTYtnB6M?)hyqb9vwU#iM=8!IoQ
zI@vEdiV8#pS4SHWa4x93ky>GZEJ*gv;5OK1F$mX~;TL$|UI7n{Mtr=bSOAc`rIH)W
z_Z0?fxgzd_D!h3lKbWfw4_B)75wM50VNo;0xqP+!5QG>q1IRie-dsrIGo|^X>`zjq
zS9*jyEz`l7OsLY!X=poDDZVnqJvh}{D^I*7)~{w$K44W4rFL#2g8iSitXgk@f`cq0
z)hhXwnjKQ?^2`p7?=E|Z<x+M_<E5qqW)Yh|&1aDvO++F!iv){Iz7G~Q&~aJB+{Djl
zN5j2|k1H9OLZv1VrSdb{g}*|0m0AuIUtKH=4#yuz>2u)Z<XH&E$GLjb1@#~$X5hGV
z%gAO1PS-iWQzSHQ$+8aJEB?pmSxGEuU=a83WUj`&<0^=ocZn4VJ&AP`vlrMOa*`l5
zH0494axf?4@K!^`t7I}3Lv^cY=Ly}+m*l+!Q}7*^hg@Z~xzYT<VAFJmfUaxw1F>UP
zC25^N3%8XkP8f2#ACM5jMVtd-W0Z>tYK}{O1+v-6H8LWVmdP4>dj_P~4K+>&1Fc;A
zh7akcYkm8zDAfAlB(g#-KM1$5=KEkfiQ35}{oc(!lLIVSi4xeAoE9yJpyB9tsqs1W
z5Vu$G#)6wx9W!v&$};+#QQaV*9?I8iY?Y^4kOzR(dS;x>T+`{#^yQ(N?1&DRs`~9h
z)^F!$?YHDS%)wSE6dzhzrI^ZYN2>{Efc#rhNz-?dg+#GFu@N)P=X3Tdn4lc%6I$nm
z0w;MOB?$SYStud*>sH7Snj8`CabSiNM*_2fh*CK)6I~<_i<)X(ZUug1qnJ%31Jj!e
zn_e*e5ulOnF8nAy(f&tzvUe9UP&L2JqqN>6+|0eo{A~+HqTOBUS2!~A&_;)jaZuI<
ztn81gp}ShBjSSWyssnuii<uXF8!$)TO0m>*+53U%RL%`KQpMlqNPQG~TDQVYprxY`
z0gDihJ}h(X)TcYf@tyB8RQvSykSte%DcI<IXR`F0k~!`jgrS{!im}Nzuow%w9@&D3
z5ar$4?w(mjA^f!pN`{CO5<}5q`M251=Yy^E?AG}qWHKXG{bAU@4Oiff9OM-^V(IXW
zF6i3v80@-Kaw%CpC~#b{muB0ieb_9^KWKaq-duO#mFO{<LHs@m>QAXCcW@zNh+l<>
zQH}e+e!zN1ZM!^}7V?@*K`8;+)0s<%ljp6;;8%wk>~88I#Fe5J)9V+m*M%!^3m31z
zAzb*zBV5*UiATz;uS{;7ZI#}(xLLJD%iSvCuvLAiGqT8C^Ka20cTJFO8suBsW^daD
zdELd>babmQ$X!fO>`U&4aXdx_`GQE5iWVbYptLiecN^Ih9yRzN*B?#I^&`)#fqgE*
z9Uz*pN<o6K41~8Raa5NZD1a$HR4UV<6w-8TDX*L?k~>h6yOP_Y1zH&PFQ0C@nYSIf
zY3whLzBdb_g_-+V%ru|FJCB*0Jq+(uj@sbRdoUi@Y9z@W-QdNpD~I?T=H*}(MmM6{
z<9m8~7U%ja<qi1cjIxsekT1H)zop=j&Hs&PX6Vac?}J<_oEdFv9#i)eyzs=-;VVPi
zTByy4OySsy)9ylZKemdq^qV#fBY8Xo=Q$$J|EUiAGDX!r4+RGqMC*i-JE?WT6mvZ5
zgpTiyVl!1UiTUy6ALSAQPg)Q|BQn1&ab1Z`i_&Edj|Vwvo@~N?>?s~2_c(nTj*+{_
z30ZU9YX3fsC~*Nd`&vx$80gkLSlLp5z_wz(HltYDSS&!OI9CDAG37zQTuMD}&GFXt
z5pxvyWicpDV!Z7Q#d*dXzKS1j`p$UX9{ne?5r<ht`x~K+y(L7d|5JVJC4YqOj}3o2
z0tyZ?i^iVhRBG&{808szj_;0cQMM#I8?BZAfWfAx`S|;rCS8ykf59Tfn)sI^Mm2Z6
zq85#Gy?%;K0GnZjTx=`?g+-C=mukN?q%WIGt^8Z^nDpG{Od`v#kgs8;CQ3iEZ~Lk&
zl(5j^h;HKyMv5~rINZbBw=LjVCf~Mz-jac7-!>cOfs>PQ8eqQdd!S*=w@puD<J(?G
z+Ze{mvAwe8012C{HoV$P9rlx5yy?<z+gbf|w7?6u7CNh+l(}~5d&(l%netT6wHYqF
zZ0Q%~B=$YYlk7ff#n0rsSd8VPcDR>2?tK1rkbIBx`4^BW*7^L`a0PDvAg{pTAH+8X
zf>Q4G%+BXMK5CW~hlBL^k@lR=bD;i6=QCr7UonVLiq7YsQSbO0Bfdo^pi2VVbOIjN
zHdotr0v_XHtY&?34hScpiwTO=$z#CJF>(SP6f;!;0wfRM&U`g+Ogp&y?{PkYo4WrF
zT#FkR*>TG%syp9bt<-9{&6RpV1&YLcDyQwFA0@Oa$wvz+_5f^sei<k|ir{$@Z}^Mi
z+1s3j%fho)!%XwJQuKKCG?4$&yX@W--AdgmUI)3HF1xGXg~x?}uM7p)p3Ck|t2n>f
z(A);M5qbVkb+<t#m)%`ZaF9XdHjvy&xeZdx@wg2f-$lCII`6WxX;GTT=d!!93H!09
zgzZV628$E{@5A(I^X>K0m=7EG--qIKIrU2mlFN<z?_#F-aUU1B_McfOA>;nvi4|dr
zIfIenNaLO{INTT9xEC{YCgWZxR>?qzaep6>+Xxu<_?{W}dwon8_w+P2#{DWD9NJc}
zn%wPhV#~%nC&O#QH|`r>TLol$$f6AF)97;mH_<1^O$d^cC-=iq5@uK(?W^k@f<q`^
z?;TqSTL&jrEXGs&aR>Y|3cuq~Eh;E%s-%wXT9AKBght-M!$1K26G(XD!eW_seD|E%
zYq6}o-r${}0+Qz1<?%0ca~k?zctIxN=hiOU(<GB!o)3@fU^!%pbsd}+uE6a&;1xJr
z2lz%8C@pSHUsfTtW`Qb*UeiA@1$C2Eu3vBHxG3O8(5s4$DB4Jjwd!_96fqY06_Icd
zpflkFDz@Wpr)$GJbJKkdqa`XV?bdJwZrR}#IAjOkcw{HD+v#4bEUV8nKSiXxFbbk2
z<uk-atJV<5Ta=XfLH&@LZ)O>vi;2hj)f{=xggNPM(?3%4<ANK160X24MZ5xs6yY0>
z6wSt96Qw;lchb|4E9~M=R<Tysj=4bnKE=^>qWe-On9RJ}WPwGio1?sfG&dZVZ@e;G
zL3U<P9npg;#f#v9BTK@>X5~iusO4kB6|}$&tfO^q><XtJ@Uv~~!$4MtNe%JBnxI1C
z-uhHyKw9fH{}x^73Tr0Ia3CV&wp{2qwpqK=BJ3K_)i5hGqQ^!<l%f9A!h}|<<v(|E
zK=CeF09+X(|M@HZ=8M?a$~%P|p9}d!>2y77{=~U!<hDigNXqmJsgRQQW2bc`H%0dy
z_bMmdBsE0fjXZOR`RFd;Th&B+z~Yyprx=g!qwc0#)jkbXGK>E+_(WUP=*eU8b8<n*
zTR!Gs?MAp=myQT+%kF1~j7sbOWHeF0wA@e{EL3|4OcbiM9{d%e2P*xAS`Exp$NhLc
zk{rMNfB#Nw|I4$8#pQx}gPJ)2&UTC-$q#l(VQ)D<1XuI1vnZG4@U*jasXEv5d-*tU
zQTOr9q;6upB#+)Qf0Sd0?EbGs4<IpPV`#z?GFM}K_m%RKOqcy2bf)%;$+Pds*1Jsc
zu&+dME_oJ<v4RlhQ2!|zV6-Slg7ba1Zd<DYL_20^KbZ~rWw0S0pTfUGrdXfCpTiZn
zQ3kKTf#~s#2hpn&NYhH+fm?U~xLJ|~j5X~Wsq?ep)>%+}O6$0R6yt`eXI$G`(S7h!
z>KcDr#1KXx<q|{_NbMIj_oUf9iB4!VC2eV^`OPYchQ>z|!*w&%Z#111rqwO9yn-}0
zc27;-mSb;SxVr43=%}#`KKV_Ea+vTSpB#f5IcN-S&GY2HALeo^mnHnI5CM~0x*J{h
zblecGJEG^>j=f=G*K~Feu{W+kuQDf(!2B^rw!^+5<Rh$yaSSHNpm>byr)Cz<g45t|
zV$#Yv{nUPeD07v*1ddpgyX#^<ms4)?5K3lO@<6nJ3hU_0*n<72F<;=BQ+i61Yt1?m
zZ3pW}0vjb-an{i{p-N^QeG8w+I-)0^b;QVR$2vL(VV^pcs4Wvo8b_zKWgIDLycQC}
zouTW*S9`{rD!iK>dvX5;yEq*Ep~A4>7l!+n6=$1#6Ij#!S&AeX8$S=qV;DF;FY`7Y
z9(U%U;yMq7R!fZsMRbF01w`jDECW@M=&c#rPi9ZOAi3=_aXgm6pCMDMWiaa#rnZmL
z+q?n?c)&LXcu*^=b5X)|*{0TayL3E$X`!=&!gOkLVWgpuz5_0JWXAqbzsXZSa6LLq
zs~ZdP3et$jVKuD?SCE|<*{r5CFZ|&2f-tE;UO40nt2X2-3Y?a#Tv0;KTj?Pp8k}Al
zt~;Wy+6JerB_;?6PaTd%voRlim)!e<%?{or7oJ@J(`CC$?h|23TDVJ&5oqyK>queV
zqbuN#G#6U}=lB*~0ZO$df53UP18XWz1skvXFJh-nTGffRW4{XZhk&cKrsCp&;&bvG
zaAl0_BG=Kq7PLZa4rh|^z9DS>Bd+e8hK7FM-ZAXl!(5(%!_eALP$Wki=J6U7cFY1E
z^HGK`Q431jqxAwLph$j=!qAocGFm3MH8S3T9(C1!@K!@tjs3wM6FzCGDgXFK%Z-Nt
zzkn1<@q%F!KEHCg0*!Ed0LY4Q#DFGVbWv8lS}MTlF{Y?7>9UUe*TE=Xwbp-<;zX9j
z-q8)!1KfWOEp_ey*aM0K&FZ>22VWVQ-$F{(p&bMvIr*-eT^3u#g?oq}+Od$x^M9((
zp_z67^gzKu2GI@x$(_^=fE05)I{+Nt^&qFL2`MBovi}=dbHdbP*RSSwU)2BHCM?JC
z!-LXs{6q$&|Ajv7Sk(W<Ov1#6`v7K&AMW!|@tXZ4%tzNN)lIIq&=p&=&`kRSM&i2y
z+m@*-f`X9n{Q+VM&$K^4sA$P*$NqqmfZWjj0DRB<VRzvZ`NQbR;}7F*p&s+N2=9UM
zjj3=T49w59Q3zcqu4`O4Sji9c;#A!`P^xWe%NNGHn;r0onKXGlV&e=e*sW?7IB=Z9
zooAK-=Vw)i^Yx+%9atm$$=u=5MwGypK>Tzi=vPI;2EizS2W768L+_|if!QYK#dK)@
zET=+3EMJ$*aCy|izE8!-<Y_F%3L2QHcRiy<MGT~0>Q2F_JgaDf{M#h{M?vB}HvPXq
zCewB0KiBlv;R@XD8eW0JX@GBZdDQ|W$mQhOb>MJ$P5zWwl3((55Ej^Okj>?_D^#Dd
zW8HxQj2nK1CPpTD2fjyL<8O=j7QF*5;WGmTrkgX3!?UV=VG34Hr`fC36zwcn<YIE#
zS0WZsT?|odPwoZYzKG5OYcAr>g7H4#lIeUOAH_~DhZaEEb0**xb{hr{J%k(2$>J0@
z&7oq<!6kJFYou!<Yc?sl$$2QXUCG*L;pGmE<O|p$w!FHAXHJc7P4Ljj;K8SY7XT-v
z3Q$59x4fD_l?+a9!Y6{0^yGn)oZNPnSJx@=94z%!^VMygM3rZ>yv~{;%MUDf=7T^|
zu|++OhBd>MNf29#ZZpGD;~1YJuYDx?_UJJubQmJhD`c*n`c#n=zr5Y4!07Id9%p+#
z9B<?lMv!z=awR(?RUA!j#9}N+I$es3jYq9FIvAaVnFJDLf0zV+B1o_YhJF+>#lp}B
z!xgw;D6hZ)L-9>#VCXlklKjwZOkn8K#6zo6Hw<OmFjbSj-Xn%3!qB^1#cKLbe2XyD
zC2%GTeQi6Fk^{81T%IYkf9!PEwM<tuApTukzX(9=>KY{g$)!-*7y;sgV^o)nE*$@w
zoM7=~T%el4;>BnBVDXkxy$FY@<I*2j?-CSe%OoW|+3(W?iTA~S_AO2nu2O5t(8jia
z#5=Gx3=;3dGe<&V!3TiEQUxioi-W{RLX`{>AB9f@iRsA)i5a==K;pI1M(M>sc{upK
z#hp~Sd>y>EeIxb4!qG<SA%`Y8UL4GQ%YoBPTua$@;dpv+QGu7)j`y$%Xa6k4j9|-I
zK^Y5s(pJj6jW6xQQG||Z&E^yVF6GjdZmn)y#ax=R!q_g7?dJVxtztqZhx2Q|%H<!;
zV}d%6=+J78fCq^1RmUdlkZOxPa}F8SFTFfOpv-v?=xV<*rENzv51Nsq=B8u?6goyK
zF=7-7AJKRp0i+F2<^AK<hWqb;`Q`u!6NKHlIttZ1E202UBT{lyS7~Zwx}0xE3wl|}
z^AkXI+zE6rP4Yo}B27Y19!<i>VXJF(Yijw;h2DCl{gpboMt4f9il|4Y#j8LX5ADPg
zZrbuT+tkd5@*2mCt(TBqom*WgGh0{Jhcop&VvaI@G-s!Wx%9j7R#+E4AoGs@u2J#y
z>Gdw{IHmMU-TxpLzj*wP{M+RDw<X_PZWE6e;+v2u)(i2&a0PBJ1h2s1g}^sDCU1Q)
z><?B+FESqZE%DH*)a`{}+%Ttcea;rT8odxtyNcB;74a>4A=H>jo<e5eykL4Ev{N$E
z7|XSbaR1Mk-D9;+Bg6-?+78t20un+-7w3Sm_gzd-tWNF$#*7iT*}us&D@=XfIRp^C
zfc*p}sT&}uOVt;w1&wO2B0)r29ztdvt4Fb)%ef;t1v|PcSsvZr!bJW&Ng6fgM4ma+
zTN<_zZ3k>4#Z~o`hHV0el)e$FWWZ(}J`u2?Cl9bm7`g43$g68&Q(mpD<su1fmbVUV
zBqe@e^T7B5Hd>3C!J4C7<4xx8UbJY_mV9+1-28n~c^mB&bfTIWsyhXy(SMR7gsl6K
z;P40|nm5b5jd9*53eU_kn9TU6qI(=~yUo2a6BaEJOvgu)*$v4s7nBL^mU$;+1wf<r
z*-c@xASx4onibw0tk8p<cvae#D}Nx--Qfz{*ojx*z)twahn+y?S!2_Bej>gzTmFbu
zQg$_OU4KG#M7#9A2-T;Qh8sIEZkTGqhn=o;6{|rO9XqMfnY;~|(E;rAv$mPqHg@_+
z90vq;axp=%I@tuJjS+U5ADqi2a$;RWV57{r+YCANtcBwYa4|vK{88F~zii7Dwqlq+
z+gijX2)WddHJcny$*j*3lG+Xb$+Xxoge_u=4byn$)S%F$S3^>Q7l5Rs@Tz``LsADq
zl?+K8ginN|=*fqq7`cF?%$oGUsF8Tv?SdW2z4(aZ%gorF-1k9<IG;?x*)As*zGf62
zCMl#Ro5JEu;c;mBT)LHO>(!C|dRi)T>>xBa*PPHeIKIP&%)#mho!8y;!yaFaCbWaL
zX+jk`WZ^<zf!)=7c>u!bYxR5`4s&CF^_)XL!qIJTswbqh0cLxyJ~BL5;ODuCV;4xT
zbQhI-e+rAIm&%p@DTf3>r<Gi!Mc4RMjF^_ubAF1<)%g5Q3}k(*<_9WVCiXlu7Q|tF
z!OGarO;%qhndSmc-NkE)?=pPEg5f(1h9?(bF$BWZn%FD+EoE^%{trwVH#DK~*5YkW
z8n5%ws6gqm_T-!KUZL1d6sJ4#X6odLjy8WZS+zaLDi18(3YlVEde?+2aKlnwfdiJ}
z8)K4EFnnS3WJ8Q`or5vUD8j<AcUo2ZCmEl+%EGZ$Z91YY{<1M`c-vB@u2!Qv<U1gn
zw=%vv*n)2iwrD1U{|K=MtXx)$+<g-!0>r{$6r>M~ekxqG21O#7Inh2ax)m0hLhWbV
z55v@VjB&1gw7(74ot<;(b6Licb<;m*O6pk2++;!*))4LrSDu}Byq0!{ZmirL5vIR$
za!1}QQ&X%6*B!yT7>hF`dM2a~>n6t>$&`xeBii+Np(NqSY;Qi;-k^sltiHgg%yyni
zElf!Z=czCPEq-b}C_o!764hb837LxGTU;bkh*|+WRZDUr6xB%^zc?j13L_ATNFqNg
zgaJ#k;!ox?rPGSn&k9+Ei{RkPW%_pM#c?=VuAJ-fH5YSiu~%a%FI0(@`UzO|eydZJ
z+H9=o7#+#!z#d^ABp<>m8InG>jV7uFk?r*nt0Cru-kq!k64=oUfM}LD3~)5$PlJzu
zDIbKgLbBGFQY~y4sPvB}7h|c@>93)DsXUr|7P2;`!Vh!?udwtRyTLDot#H9>f2lrt
zHGKe%`|{}3$p$DP8HHTzTnv<<q===q#Ty3I=8so{lEw{+rtLtnJTG`nZSoj=$9+og
z#Yb9d)OM$xwsxeCnd|ylpZaLYZGio1T6`KDoR8<fgL4G#fZJHuN^TJ8HtSe<a-vV3
zM!LI_uW|C5`wy^x@rvGY>M)@Gb#_+w%5te*$`6(<DUe6g;hmzsl)Vw3L9zRLjNRYK
z%I@S@%(369iO^SyddIOs%?}uvu_j-I%{Fzovq7kS{U=E)&27KPLZ~=Z=;xSeK39Ov
zFBQIBH`#OCf5ts#bifdM590znYB^X?tm7zw<@vrsZlqQipfSY08Qcb|i-T~0E`9;4
z_v$w5Ek!uss=lR?qx&jqxgxIk7v4OQAIw#Thbz_k2=x9oENX_>Ia<pPfqRa1w{>8V
z=}_P*#r)Ca<1Y8G>7n`f($C~ECudX>lc&*e{R?myAhYYxB79{S!j?5^9$I8s;JhW)
zuVz#BjBW}N%#Sge2bqF;P19tVjxpLB3J$W2{05R=sbh>%?D8CA<oNEgmsl=kw=`aA
zN?=m5`J+IuBmS1o_W2XZunCqdB`c0u!U?5`J{FfN|1_dhezuR8N5z<Ic{$@;732^f
zv*L60=49l`$~cJXE2u|NWiE0^1p-=pXWkbT)v#t^EK4Iw8Ixd^QgE6K2eTAp-j_)S
zspSJl)QT3Q>v)?brsZ<UH`mfk&||S3vVulc&U6vP!d0U9Q%<@BkFE_?=yA~Ssx$|+
zKc?l@a0PCE7q7tK0m3&1I8g1Sm=bEN1sHIDP&%gNUaKVkJgyt5p~G>o4&9ANrm40F
zAe|hz5bznOK7}XTF)fT6etjg|H|Xlw>MGXZ7D88#8l=e<WJU*KTE5>lQ)4`gLB@V3
zjsqg5#l-~0>ZBJ+>!iPnWPn^=je{a4b{W~iI*4q)KF(vOPfWAj4?T^}#ASgii_z=|
z#<@tVFmpaRqa?fDOW^*6Xer>fc#_8)EVkt@vU&ayiMX7fEhD%A=9&~@)qioZEqejk
zEOKOTe4^MEda@%&81R_S$!#Y}_}pS)aJU0li#cZ`;);wF_DUX7<;7Y|C52*24ha?v
z&0VrAr$yPS5E1j1KVgni<5=75J)wu8q-l{ZepwN-BZiACmbn@aj>B+~9@afp%*7=3
zEAtAoKjerc9e;vswF^{)ft=!4vJ8u%x)m6j(7lkkV0?QO1@}?kxXNmC|H-;w({y9Z
zr^MUVHx~d2DMg;vxI*8!n4spX<Pa!rjP%X?;NTRRW?T;p(vJ(dOgQzUzGk%FibAa)
z4k0My@`K<^%=bYkn~DOJ`mot&a<C<D#hSa4%Q*qUEcee%T>XuIp6`%6*8s?wE6c+p
zb+#)B+>%52dX23X$Sad8)!K}+N9yjc^i_tM?2XPAs`~DF)_2!s?Yrb!%)$KHiVH3I
zwWqTC4y03C{w=Ab>HI@kNE9CJJ24a7{mh7k2`hX~zP1r?uZFepkN*vV{)H@*kjv~I
z$Pt<>5!msQ$&unnm)UI*rE-^<=pr#T)zs_o@(GM7W)#W5bZ~Oh%d`I#Xk-}kIea3F
zNlzY($-!2SSo(#oM-A`Ov-WY=ujfZ@bO2&XaCvH*?mSMC7hmqw=YD#Xr)*U-M_#d6
z5p<Z&(p-7Cr#z6aR`c5y!xCz3WUvl#4S10KVz%_tJCq+DhUFplBVG=+7=yCc6S}6G
zW>8Y}o%vHGjSM8pzs-r|Pav3nOdZCFzn6Jm4!x)VE(Pbe-X}biL`4hF#WAFp$G=c+
ztV#HVSl48KnB6q@^Pz6?xa?*^CNo6M@3Px3T!GtV$18BS?C^~)R+@`)hLUyG;<V>Z
z|HS0OQC7KrnB~L%Rxqz#RkR=PFk-A#x7&}$Smf6@!d5~*-ZUy!cPtxIK}u>MY=&kE
zAvp4HlV=x%dFG~jEu$sM-CGD(;FcX;fkSrijYoDS$*E4oU2!D|kcD2FZNJni%jz@D
zWQ&v+R!Ov^Y#}yUwT3v}qNL2H00EztNJ-8t<8vWD)~_ZfZx3_Q-KLwV`T8y9{u$^~
z;R@VR#4B(}5x((A(QFhHr9(M)($kPjpuS=iYjy3I3)CYij{2|Hd?rk*o1?sfG&dZ_
zt^FiiL3U=O?;5~h65n!4iWd_W=Y%Zdqbb0D2osx?8|l3flfGa|T-&0N+8YsE14(gX
zS1=tI_Jb#r7kh_E4e`R7phDx``cxB#wAO3>EqW6b;!LJucRE(DvTBH9!>rJV9vcnu
zTBtu{9dlL*SE7ppig(Gc0g{iAD>2v1lo8%U-ZkWx`z<#SoPIgYZ8Ud{^beWAqv;n?
zl9N1kU02c@-GgG~>A#RFw(@il&m8IkZRJU{2fPAO02TY=R-QIPmCP%!1)s<(Ku;d8
zK*GpvXXWV)cta<xtaQLPU@bqL-lm5@lIHgj+`kjA+sN$%;_|8<twGJ)1Lt|ilq`hp
zE$@}b)04%I!Sd@;HLvHJvN@n>W2No-=piL$a$IS9x6IWT-#w=GHcyxRAatqri=2tb
zMSG`gefAYM#ku4TEXG=Kn?plR$pE88IT)Pp_5H;&Q~{zL`cGy<?hiJ^<7>DVGR68D
zo(NaqMjyNa2hztk9;7c18FrY94m|tMR!Qw6IB?X(hX*}NJhUox11!c3Q}gI6pJG^|
zTj4XVVl`YNzD0oL5=3*kcE6~(Cv84Vq76Q#q)oif>^ZCH8jZ2oi|rzs4tucSis+HS
z!e|gOzd)SP%~QWIwO5!{x6twm(%jfRHF;YI{ortQ*;(VLG1`lf=9AyFcx{;QAfFtA
z8>==3x8{-ZZ}eW-c_LtPOLwESN=ABMUAXRuo@+Zif%R9@*+JM8u0gLdCs#oijFC-o
zU~~K<tcr0ADaaDKh6{2tOK8Dq5VOZ1w!ZyNpvzpPFM*vxa%nvFb2;%QZ$<fpfQ4u=
z6;{*L*aBuX?ckXsttQcSu$u0mLRwf$eIHcGtfu$l6Io64<g=O>x$Rg@7b5sm!66+m
zo#e9WSsgH%6lGq^sd@C?xxo>rs_3T2UOWP7DIElb{!?Lah*O|2)KB_f^u@^8CMN|3
zwSSgEN)zclK?w~nO@3PD-Km!*Qz(FpN5yr1R+L(rJSd_YZ0jI8k6|&WibQYC(0(#|
z>T8nQF4M<jF+2g8Vl9Se!xgwe1+TyXD)5Z~D%48sT$FHKwyE{5Lx)_4y!@wCaQlE3
z$%(fhexBl~AJD!Krq#_;UO^fOIjpH!_nTa9n;BF`G-yrp!Vg+=VN!#<aL5-{ZOB&?
zXg#9yL_~wu72&#H4A9E@OW{t6&2n46;gJmp>*0y&{ESBEu$W-8gIlkf(vb16m@p+R
z92Ua}wD_rYq%ix@Met>sH~a%se2XpurCO6mQO-NC26IEO@w#6l)(=1^Bzmg27U~Z{
zS>AkMFS$6N_?+AgTp1&K$-mda0$7OI2LNuf9wGze6MRx~8X$Uz^f4?X6;2{RF6O`r
zQGkTqQjJIFf`6qj$j`~m6C#v0N$UkjSdl!4BGHxHA1xW&N*V8PkGksfyw%WEZ=RxN
zG8XC5-QmMBzMh4}BDDBxm`REk44!ak@p1(nbKMAO=!6V>u*3__$EX(IlE4C-b3qrP
zOHpIeWu0iDLsGuht^Xv&iR_6VMmJPHn&BSErH&fHr9gg~#Sh>G=vUWi7Wm50{}x^{
zPqSb^l9TU3mA|)&^Uu>r9zVO{w?v-*Q++1Qbaurbq2M5c=<Eu~oz&SCDdu?2u5f(U
zlTl)1|2MMcgsI1_U(N82sBsE(|6UW8WAE@lcN{;Ff$m?WPn!>VxpRO^lKfk8fkwe$
z516v)mk=cP5}1B~7fUcx{BWO_Rvf~JbiI-UHe7F^`jfKIOkJ@Ia)dOx))m;cOkEKa
zgoN)o5L0-jJqJQXOID}-WXTL5w-LDg2H!J3*(Q7<KN&rF{A6wJIe3%0&3&L$+tdLc
znH65puBXhT&+920XSl&`RkJ{Ylf7;}v!wL3e`|#2nL9$-h$?tH2&AqS{Zo&yH!!N;
z3YqKW&_^n?V7AG5F+tit%gK>u?@`GNm!~c46IF~%Zp31&AcOQ(gIXkd`laqHl=lt_
z)iY44;vHnxn&u~h#CzO?AB9Y@Zo&t{6}a6vyaI<C2jA%Os%>H*R}{6@f_CnEiN9%;
z<d=LMmW9q80q=XfTkvV(p;f8dwZgdJS8-xwqSxRqSFsKc19}Zy!e<5+OgCp5$7-wg
zg*htz*lG4^HAOoSeiz3L;Y4sTM6o@&6iR#1oe0*91Rx2W2;+U)C6oFxE+S6vhZcz1
zb7mz!z_u^*4RmnSDOsZ8fJNu!idnNs`AznF5GI+fWMBLz>TC<_6+Fgu2eybU$L_;3
zH$%Mq_!PklC`2j(C3<l|tVcqX3}zmMPXsgR$pbSvx$P{+=9PF3minss>bB0K%{6VV
z%ce;51J0fK5WDocq@!WYFz0Xt<`f-ihPTFbLW;=I_YT2zQ1~BeX8ksz%ty_vjvkIe
zAtF>gL+0A4PryqtuE*EA3a#$$_=IgPalDbU8)4S<k}KIUtKw*K5f)=%*6C7i7<^VC
zvDO<Mtxm#B0&cTEOoD4cf;~930-0iQ>J{M%+&Gn2;J~T)M%Nv!<J9+AC0USB!**kW
zQ*R_5T9vwSD&vN!we*D|F)R_MZgLf?wMBf3IMpR^CQf~AtFx2GTxhvGQ)s{3>8@*;
zu4u&krMP|(h}qRON&u1-P}&$F=0)+EOol6tfAvnd`7|z8&2aPLGkv&uOQ~Ljn-Os#
zhiiMeP?#-~l=tLkNK{wyQ%;-kv04*{Ho^sFJ{5B?%=}~7uwXWE9E{)tU}mX^l<>u2
z=D$Fd3^V@~p9nM4lMgd9a@)boZ;(bzFNVhF=(rL1Eqp<x_uk1|z7C6XeIxY(++o?S
zXVxUm3zWHo`eO4?obF;l{Lt{PirZBXEL5Oow&OiGaO|I@;1QhJ>mgIyn&K07!OfF-
z8(-Op_q2JZJDXnw$CO7{dd0eNS#+tr1N&97^}J7`d}m9nTqeJDoj)d+1c?qU4+-#q
z_+NEzaxhYDv1iU9+MOwt>LCJy&V%?_`;{qkr$+Oj898dsN@hW!W27*nN2G8uy*x$(
zY0NpiuiP5bca|40LZ}*10H_)%MXK90RWn`A#;&W8OF#$HHVHnFwxK7Fw&7#4)x*cm
zufg3Uz4c0Ohn4|lsQjupyzQN{bh^Asrt#2DJRPU)b+b*)95Kg6@g}|Wr=8lXbmmO6
zZsr3pe>CT=EBSbEqqMNTyj<oT{~e@)_|uDNonC3XMe@z%a`AXD-UpdtJs2MkSK#(w
z@CqCr41CiW55}WbNiQ;5c$j!-RqFO&Fm9L=yN+grCPxp(jjm!f`$l|=9t<^Rk{gg2
zI6Igg4DF!LGy-#NY5aNHOl^Bh<MVMG5WWHz6BMhHOQ5tdf<CW`nrwxefOioAhaH^D
zZs2gDG<O!P#aqBoE5cP_mHtAl21`^BI0=8kntQHNhPd6@CTV2HelBP2WcC+9Y`T(}
z_)n%KsqNSTW?oO{nIo5^MB4%LNTF5zrD2{x<kLY=B?CMM;}ZcMdh!6Cgpr$yvC;>j
z2Ft{?q(CCOtTdIeJ6Qzx7>GM8jjQUD=keM~e9b64TvA9+HigBRLR+?cz0+CCD}y6L
z<<;QpJ_|#&*XTzp=h&$taD*ty5r|RPApq9?$#F0&RI7=;ppBYvg>D$wFH|T$j9y>u
znZiQIgn1?Ylmbp>{25$81*5Gw+cCMKg?FmV)p%ehMvNhb@jZo?sre+XX9YVKM1F3v
z`wfzDE=1B@yr%drW55WFw!>h0av>H&cvm6PeZ#F~2sQkXN$bWYwBB00%}MKZ9$M8z
zmYf7dcT(|)tCUMnF1MvQk4U8~=Phxn6n)RfOL3L*TP!xKh@UaLO8FYBk_kjx*9DvM
z(y$t0P9@o{Qhq0t71Ei3tCVkotl6(pz7%q?{S7EX9lT0;9M6w5c2GP+jz1i37>9E=
ze8)l0c6<b-23C}UYbUmJowDN|<@O7bVw>E9ly)Vb<peiZg1oikS?f`+I=koy>k?&$
zLRlk`Hh~L?u3O2fy5Y;L8y?Bp4awhP4t4>B)}mH@cNb>6n99K(Wr$ee`=`aBg;0_F
z2Bayg>!W!T!zCcNqR~QdL-6s{O$&!OvW{I+^`q#%6c7h-<-f>WjW3N;T-oA9Rlkuf
zcLT!^*iu|eeoX@cmr9kNEz?C+uCm&6o6LNesRJRTCN9v;Oy9~?l-mR~xPC;kz=C+=
z<TM~51Shx*3b%=i2^xC+F4WXX^qLUlI0{VT#sN(Ssc@N$`vF3F=%2aRH$~>nZldCF
zw%KP&=NySr*_9j~Eu2F2kN1g*_};^tZ9ufMVlJ)f$$D#5hf7sGcrxq36SMYUasuXH
zs6p|;vBkV&n@!KnLZaAg`g+VXpU>#4VEPL0E!Vu+forP@Sty|`q<xShG<CwT5W9Ji
z;wGkoxaoa$M5%lWspul1KGZ~v{!m?gASpbyU(73#foU&g(`&1)0~(o|@;&%Oj#PTG
z-INT5&2Mw%_&g3C<D>aQx<cJVe?|wOCnwGHTx#gE@#uI(YqDj{R*x?Ual1$K9r9Yg
z;walSR{Y@Vrsv4XORTuolYh&}k$k(K0I}7b%O>y&FFAiy=6$*JtpdbncCweqAKb02
zTzBA_tH&hsUB-ZC-TH4KQ|!9+x55>;*R6R4j&*B%qYIiAd9PnA<%#^(KQRUPr&hV9
z0P9n~&vJ;p<|<@7{D>H9)$Lx)W-Rh+C}Hd3V)jE+tR^_KI&#g`v@e-`5k>bT$P_C(
zdxa}-%MP!=Av^fSBRiR|xms+MWwl*f%!-s3$2C_WN$DmwTD7_*g)yW>NqMz#Z<T!+
zqNzpr{G^U{w63?}D#ZHL9EWFz`RZ=rDq@Cys<{8stM%au+%m;0aL5$C@yOJkcqWUw
z^vb*{!Vv~SC#ad+s9B|3{XOPVR!K3|f4b#6!nC>>%PUB8g94jPW{id_$j%I^!`M3$
z8gVIJ1n<83SeV$X+(_SjbziuG7Px_Rw9bvd-B(`=lN#iOW5{7g7(*`Vtj~Y8a#=&E
z6(T^5r3Kd&&Gnz*x+D6kZMP(oUP}oCXHy5~*)$k^*5~xUH9N{=dGM^y@PrEvifm_n
zc7-Wv;jB+apv6zEBh&D!`L`HLsEncHL4>4^SVGbh9)Rn*KyhiX@hw2xj8Nrhs6XV^
zu{`1~4k+FwcLG<&$RmDmjNL7q;=Fsv#rYxZDO!b2jt1Adi1Pu<7$YCl!gTs-H4cf=
zFQn>AF2?TbO5PORi`;vh+(q(31g_(mL*1acv_yNrr6q+>bwONg;0RR7Tw0s)iCkLr
z<Z)?na&bMW)kW3ycqA*WhIYuYWv#4|F%RySaO7T3P>Ljpeh1h1zRBxiQ~LE?gKvoA
z%u90r+Iymhmzddc5xF6AjpNHwaLB3HKJB(OJ~?T>$XSV;es{>$yL?Asr=Q|nayu47
zK2ha2bKb9}IWU~>^&=<r%hq^1^q<Uz+!t(!#|d^1WQuiUJRYvV4L*4V4jhJW3<Ru9
zZn+`U0Zkn?)%UEDOo-M3HppgEJwrUSDs`h$#tl;o>GX+ViT<unyNY#yGXz{NK{TTf
zI(h%vgh$Mtvzo5a80$7l-@g_zV*iggqkBsH2K}C4THQj+D@fZ#j@!`8L3mKOy6miR
z)EI5vrupQ*%HrrS;Xyt*1~*o14DKlN_VmsZ5pCYSF<f^<&$Vsdvi@p1JBX+o*PvIK
zlXpNDjFFA8APxfwD`OnP3Nk#d=ECd@y3s77*h|&8Dv$kK&M?UpD5G7;TcSl(SW)l9
z7O)*w+j-_lD@wE-tf<?mkQM?1Zh|VA74<%RA}flXd{z`Aw;e0$BJ*O44w+JNbNTB#
z5F=nx=(VJHltjQHxv=SIR2Ol)1oyFhE-0;Gfc+_%cbuIjYIm+>8ARW$rdbQoc?=6e
z-Jl^hV)<{n_&dpMmnr12ARdQIu@=NL;R@U!gIC}H8TiHk8Onla?>@F)SOvEaaMSm(
zg#hl)Qatqo-2V&H>gFl0APsOG*44~MO)j_1jBM6bniqZ$yMLI}ATJ#9g;g8!6$N4s
z?>rIFAa;4U?iT~Zvi?#yl!6Z3)^K=a1KNtckL}`Mvx93iO=-xsMpF$_(!v@IBhccf
z){(l);8B`4`~y^ci!KADT9Zdm&O5M1bA7P!x}PJ~FF>nA(f01Uq5cr8<;@rNlZyk2
z&&kJtD`R9og|`-2*a0y--pR&#i42mD^NGo6km&n!Tfb6`+bFFUpsbb$P%OHV`=X_T
zTP@=q@=;ga%UcayHTHM1J)MQcB5wZgFq0H77(n5;`JLiUw&$W7s$V(wImo5<EaOrk
zzmx6z@B(zK>rOU&WncgcGiAJ!?Z2(!{Bt#u$M0nOFCx$XsXm)#x|8h>P;ihzbSInS
zPU=p!6mvXxvN^uXdb66GPFlH>&8}a~@{TPLw2R}rO<0b-!|!Cn@e{d=;|cn-W7}j7
z{jw>WehEQx`JHTwF;o0-cV4Z=jzVy~Qr+Zw3tHgBEHqPB91l4{T3zc3Y+I(T2nvF@
zlTA$FnKsl26)jnv_M0Wsf!xrYZ1|q}%@TYfzZpGw{AS!$)N15GpE|2Q+hL3$|5MHi
zKj?(#%%s!nIU8sA!EP0~i~?@IQ$uXmu4bUV<Tq<A&DH8v+O@t$98AFDoz-c)nJ>M#
z5`<G%k^X5&*dG{maJkI&a_A=&dSG9~#(}i`vz#a?2;oM_443CE>?2i-Om4tpELY>$
zpBnk`An_iz;YT1-tlRK`a0PC+4zIxB*1<QrylT5|$TdYhX2Cr7{cPW`O7cs-4$(5*
z&lYkMK1DpVDs{VB7&rXtPK-<pJouoiSck`fPK}ftP{L;h9%y%>c^IpGVUCJF$iiKt
zq6L3~R#UW7;kR+z5KaZxXjE)ZE`ics5~qTtT>vz_Z0=~=!NtVs4bhfovtG8wXYQ=o
zqzotXAA^aeE9t_2v@;8>0jrHH>=is4YCE=wE!Vz+XKsdo`95yJ3n)Y?10{ZOL9a(Z
zl?-+siBAMO>B$2-Il1jD*A|p`imSaA#$GxRf<ZR=JhubuwkcBm0CfCc=7OCXz@YUI
z^EC`AI#u4gMHn=$Gg8Nxw~tuQiXM?dFCt=HDRce*Yua|eJ$aJ}x?Uu?;!@IK=&CrH
ztixg~=xSZYrmclrZ}b)Krq{Gpg9LlvY8f)c!qv;e6}aIlufPFU@r|xNT8FDQSta=u
z(U`#18;FNirEa*&xM3<T9q)-@iEuS>6{{&#@h!qtm%y2DwdL!}Jm9wF@+6F)QTAx3
zyRK!rqJi_nas48Iv#V>A03^$yv@rtC;k_<tbuX~<_}A{VLUk$^t!D5!+pTLHJZH-!
zWj^^gB&sWUp3^2=uh!(DjdB5<Pr)1vI{!#EESOCkfh70<&{--YC4h0z`Oi=#gU)}!
zCxXuO<b%$P+;*VzdVZ8nrJCugwh(YLu50Ur!`39xi<i0oI)FFB3+Hw<uuRddZ3?pQ
zXX7Gj|15=&Cf+^2VrpMgl)~_4cbT{G<TyX?iAxth1YS9drNhj9b=$#`1H5me+-i%h
zTqe(T955z01&I!=A_+i&Hi7Em<RGM)5UgTP>sPm(63v5V<fu6;nF)oCkrK@`GKB_x
z`HTwEq_cUSxix9T6>g#cP(f0fRQG8rD13!m5$IrAsDw|Xh3Ltnh4|QPb=~ld`qf^Y
zj<i2J&PfnbXFWQ7Ugb0XZwd?O%@d;eGgjBRy^W6zH<AnM(YMIF<G+*C?%=Usn7di>
z&E=Z$csg!^OtGGhyTcW@JsrFPho=MIbjH*1h*i>yj3B;9JhUoxdpa05%t>BHI6}Ll
zr{e}!v6>AezC}-m8Z*iD$P5G~rl&(Y05^@wTn7OCtZk;Yy+iURaU2jn1s4+(tCMX|
z+8Dv1h0znP*d)ojiGaj*&S^K0I8hu<(TKgHjaxdgpGylUne{k`PFJ!U{*!41>r!k1
zGsCCx%#kZtqV0fzq~NMP(=brrO1A@{N(O)q!Y2Yi^yC3R2_v^1GyK9D9NR*ht!kZy
zK#>=whb2x@=LbML^UXV{MW7zVZ*G(Z;Loy1-gGZov}sGey0Nx2cT#zqeY=N>@tL7l
z&VnKJpXB%<55n=m!4pP4uakLq>Kk+-dPm`&Sq78YuEe|Ll;(KbZSDh_uxOFk%7~99
zv(J?bb3vZqPM|fA6@ZW0LpX)Wf~ZXVX;#=5tk8q8cvaeVGXGJZ!{G|t7>ifnz*zW3
zpUSoNP6U}}jZNbLdS|x$9ac#e+|h7Jtd|Dsk6vDQD^#CSDQ=9#xM3<0AI3V<Rjk$)
z9b>7{nXE!)bO2+0wr!@ijj=u%#{q${Tue}`PL71q#t35_5;?0&gvC0E5Z2M0&&?24
z&)PygS1%Uej@&9-iCQmIYq`<}{AF9Nu(edH=Qfr$7s@#{RmkhTvSyPbD|rS9>q`EK
z)8{sqb>S5YAFsh23~~K~Y@B~gLN>ARA$S3ZONz1T!8pYAA5bMjT))64LR|FZLtKnp
zKwM@`R?7s5;zCLwQC{U~X6$AgUnWzy`KWQvCc8xUe<X!}k`&UDO`*C(SJlv6JgzYZ
zJyA>e8bhhP5h~&LX|Pw~R%LvZFCGHBlozfi(VJ21Do$i`ZgDYm(S+2rrOhvmDYeQ-
zwZAZ0T#P-tYh!l*NVQrh*L(Tzs~a=LFN39WVRUt48laIn)LI*D>^@NGAE}oHYdssP
zm2$mM9vE#*IX^!*QmBpIILejmoYf6D4Xs?L=IfOz<ev@=E7a=wp<(!AH&#tAl)VZ5
zoWcJbsSd(lv+9-p-oAYQCVUIkO$NHEFlW!(P^r|*m3l#YxoX$OtXiSJULG0h-MXPt
z9U6sSW<&USX}Gt)GBgBPYfxkt`=u~gpkI2ol<Gxx{2`DGHS!FD`C5&Bm{~0hSE}{i
z!NTUk;OMFejTy!Kp!{=kV|N&pz^i(`K2j4OO>RscDD;hNgz{zsyek8*;EQS@KLo!_
zuUGT^1#HylI~%i0<>8TfZ=u{@8NhyQOdqLlSaQsgS_z)_HDC4?s#RDPDdx)qgM}*a
z8A<Jj(}(9&M(SoMlc|)^#(e9IRYcPL1Z)VI&B|3Yh}`>{FRaXsx!8spFscYF8iY2D
zHsFx*^2U+;#sYAB0REm(D33Pws22Jw)q&oD!Z64OR8u0xPU)|dH$XFiBc*}f;c8(+
zX)D+YjoJB;dZkzW)R<5Lp_(-?GBn&P1rHcYKfvkBg=#rJh+Q{_egW>5YuNqjr{P**
zWT4W!bqGajZei<irB>+GbCQ(w*LydYY9%J3b9!MHL%wei8^WoaDh5PxabqSlrUpYG
zUoTb4Q0OfFSuY-PSsPtH+Sm)9ppsglir+vFV`&4><-1k$TjZZ0qPyd$0?8?F1VJ1u
z4VCJnXYBH$-%oDL9xe>`0$U0&8sYYIsAeYq(w7J7ad<Rx#d>|Xw)D_Lw`|$cGrX-{
ztdx5y)s2S^6gD3UU)ByCZS09Th!n`tTQ3YjN7bQYrorz^UUk?}z}eZ=4gFR%_=~D$
zUr|lHQh|Y9D%3YnHO2bSAXG8Ep6`QEG*B;&uA0`E4>CE_D~G2fzqdAw5^{B8Zf#q+
zp5NMAENv_f!v7$@lLjj&`ZH@oc^GJK9)WRP14ivZf3rV(2P^$~&f59?MbM4?(D7`%
z0hft|kbBd}FjO%cCZ&3*4*X~Hz||l<mHtwB1IU1w80O(rQ5)$qznfba>MIPuSltG7
z6$^zrl(uI-L}YC0Eez#LgT48I0k{MLXNGq+CKk$@M?s-9rm-mk#w3VWsSI0RpzPi{
z*mVV%azGe%hl)U4>M&D+C=3)f)JAu}Bxd}Ik&5&)l(s?sF{M1*1H&8&DNZL;%Y;GA
zt&@}2UkZAd*@WV2sofjm7truU80$I^_p9m#3u#L#I6F+`<cuZ*@F!~V4OmcDas<>1
zils(3{gwuZ_NhoXdrl_6XUPko`f3e|p2H*e@FRM$x>h^@Li*@E=)dEjbyFC_w5EYI
zi|vx@SjQ2r(=~Qua;Y{{fl-BYy#?u--?(|_UHJyb0fIqxqdb^?>x&zbn<oI9?!@H3
zG5KFiE}IC++c4QO36kxYJd4Q>F!|rfki3A&(^DY%7A7B=2FWKe8JZ4B4U-SdfaDHL
z`gVh)h{>yGLUK4Jzr*BzF!}dcko*dh^JhbH5hmBqgXDdf+`9)P4`A~4Jt4UUle6}M
zWGyCp?G4Gkm^_EcPciwxD<HW8lgd7j)G;Z%5|RXyZ)5UZOt$R{$y+eFc|Ig}U^28n
zBvnjalY`_~O#Tm(Ne4jkcbI$wlPeB{<SI-qI0%x9F!>cGzr*DIgCY46Cf_;)l4mga
zO*bUJ$K>%vkUWJ+<JFMdfXR7_A$cPvU%}*Sm~3AH$y+fwrw5V?Fq!=tNcO<wSxml<
z$y<+w<eiv&=r~C3#$@v{NVa2g!U>R^g2}WKA(@5A2qu?ea_C8ryatm=CqptFlbcpT
zatkIWo(;*VnB><$vH_E$&Vl50nEVBk32PzwDkfjY<l1u~xe=2;W3uacklcsK!<bxi
zJ|x#+@_*|gnfNA1p2XzqnEa#<lAmL8>;_0q#AI6ulDA-Ta{|d7m<$a<Qp4ovAxMtH
z<ONJ7l_43#q>9Oc3M7j$`7<WF3`4Sg1d=N-S+N<Cm6+_k6_R~1`M2$m`~s8rycLq0
zFuCV#kUW6NC09anIVQ{B4$0}5d=8WQF-hJ5$uK4-Tm{JrOwMgU@&-)yeK#ZrU{Ze%
zB-=2#W)za^Fxlt*knE4i(hop#0w%L=fn*O%p2g$`nA~wIBp=3P=53J7!{kX!{vMNC
zZinPfOn!A2B)`Mt{trR&FeZ<E1d=B)S@1DP7Gv_r-H<$i$#Wlv<atc){Ujt0Vsh!H
zAh`mQ6`zJ=B_{V^@&G2AJ_E^{F*)(Gkeq@^?>&$dFgfI2NET!AYfOHR$yHx~<lUIu
zeIF#B#^llmAh`mQ6%Rsk1}3u}f@B^hmtb-^CMSInl2b9kyH)8LU^-KtPTr@JAL&R~
zI>UrcdZCR+wC9o{DJc+^!a*p4g;qjn$%yRr1a11H_fnX@rvqf)Rs*2Y3+k{2NHVPt
z<Z=Yp4|_HCJFmQ{T-j32F%^<yQU3=r-FaY-<+8i}35O#`vxv|PIsp{iwbpk;U`hog
zZve9Mjmg|TnAn)a&X%2g$~otpeGZ~@W?m&dTbcT7P_dLPIUDkhG-l~=iS+2K{t_4z
z2o^y5vR@Dti|-hy(0^gy0n`9^HPlxbln9JI{Tu5?`So<8#Ob0|$~4a?9}Jvo9WAOo
z?XvirT^ch0v-ej<5Rs2IcI&SU4gw5<Hh|qWbvgh2Mg#yy0|!=3sJ(p@*fSga9Drwe
zXJf_5yWzEP&+;yoUEbLHyfOfID7Y|?1E>W?9q~yzLcH%KCL$mClTb$-7!uO(ICWb9
zG}#i6d=zr1?tk(U_-hgZ)zMWm5U!vcfRq`>J$)EWerOkYfHnXJD_g)S%pqva*JsoV
zTkFRkc--2P&RTQkDa(#qd&-)V&N=Dav(JG?_ES$!&w-0)08dJFu(6I`*G+wM{BbK+
zpSx^v4va7HNY_(AQD>fX@+oI7J8<FR89DnuD61Py=^B{n0EUq$ByQpQh2*mBPVNTT
zO&)|qc`by0LO3HDGszkQlLL((hSJ_URd7B*mH;A}3S9Uw4un3VM;h~_DQAcW4$FLF
jH~Era_im+f|KP{~*in^@h`47Apv}q6Gc0zbujl^(hkW9v

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..7c1460501fc04df654eb62d4a463da0874ea4975
GIT binary patch
literal 11233
zcmd5?TZ|-C8J^jlThD!W*+uEywSf?3vpd}^YN87wuq(LC?y#`Ch#FE<cUAYP-s-Bh
z>eSARL4zQMNsgC<;z^%<FhOI8F+QjyN+Kd5UZPPGZy>1eKA1@K`_HLc*L2Nv4?Hl*
z%v7E8pYz|pbLyP`@$qMWdwfLxhy}mPEN8u{8;0W=rXPwa!)*i|)8XMW;ju4-p9_~n
z$<x<-H}D!}C`LfhV3uuorV~CAig_aEmhD%g@sqyU;Fjwo!`V2SV3Uu8OROZuxy5ZW
z(<P?P>2=dKJwGHGkc?e2*NJzg=c!Q2fr$=?iLMULJY@SsNlQd!d&NW~;i?$3EyoO3
zgSsxJb<RDj9&l(zn(Va<pQN5_*t+kd5zpg}-ce6eM$k=P>U!gfXEuo@5R+VQQCG+o
zSeebT!)z}*A}-f1`w+c$#dl1-UTd7xx}MvH{(kNLi<)P4UB7ll=lTWDZCX&W27&#W
z60~NZ1LU%!YDZS6dOmbJy0Ryzvl(Un)P9R`gP1(;8i5U|rO^(h@2RP7g`Br2Iak?H
zvIct}Ou(*(m2brFP58YTzsH~+J1*5)R^;pi1ekyTCAiw{blt!)GA>izWFxSN+u)v=
zb!XI9#E6x}!M<w4BXFu`DL>3wPQwlilT0IBG}Y194YSKxxH1Oc>0KFM@N~;|>*1!D
zV3uJZ9yi5YG&E_La)M6X^h_gM84=Sm{CwB3H$Xd$uui#>5l*usQu!&^?#{f$#6qO+
z@|vf2yQUZFc_ZF|aTz1R=<K7h&mz;D$-NhwimkHyku|I0=DsGY)^*?1s7s52C;U>l
zDk|F$caY(>q+04v)nK}(*{*JAys4$s1))mRdV`x7VqP_Et>HMCK_?4XP~urltD%z*
zWsZ1UlL#UuD^RxK+Cj(BC<QY-ZtTy4T4SU5a@L!+Aw&)~OvvQ4Bx%8%k&QEwUf+LC
z&up3N85zs{$zqL7_5eX+mwAk{t8ATpmOaKk&mLz_urHeI;>sAiw8}1TvWGU=CpOu`
zD<kZao9t66XX9|4Mc6g+;mWi@!m}hMxbC&g6zyZUNzg(ZMkD}imisD#B*>wO7`J?k
z2%n~m`U+6;$zf5lY3e-iOs($ePJ{JCUo8g8nx<Kf#Wk(k-8e<C3iNPV6}Q<x0SHq^
z<LpFQjzCJsFxR)@T2Vq~5o$?{b#==N#Svwi+lrVz%O+NNsFNkW5p#bxSww<-2}`Qp
z0;aKyHN?s#W>%W6ZM$n^*fq<xE4JnH3P*cAux!3;ITZ;K{)tMIM6QQt-7%y+DzUGs
z@iO&}&Y3QC--T(vGx$>X+`GvGaa2f8EYO;Vs3v42TW9={?xC*95os1TI~hu`ex7jN
zKQ(=_S~(qK^f`j)(~cwiD$A7wyeo1mlpr!?5XTOzI(=)k@*rW^;3K4)X`45OMWII|
z+OLpEaUdk`sS{s;C0-ufi7#QP{vncj9K&9e#+y#<lCeg#?3ToWiJgGy>D)AmZCfI%
zZ!zep-CI#9{Ox4Xe>2*!y`3pjo4pC;|2eqL5ctw&V;J`LE$c;YL--nq{sP0k9?LFj
zy9o!D=q{?mjgMnx*kOrz+IvPvMp(H$LjUB3eUOcCY$OV-{|;y*Gg&OREQV7Qc6_6Y
zPp1jMY~5<$p^NVdYdvHW_-YB7^e9HFavT09aQ)*>Tz?ND#C$PVT5o=mNst%d$DbyC
zd=;M~wBrF-pPIgauax9<x`LkwHL@MD9e8k&dqIO!Hf-sAf3<SP^6=?%0sFh2-suaj
z&r_B|@W8l4HaQGTWDNDpI32;x&l3e_Qf>+2^t7cRa#DpzZKx25v1bv%bsQsM-9N<4
zBfR->@B325{10WV<HsPKZ6xR|Fm<t+w^(5=J7w~vm}^ZfaaLL4-d$N@29`M8-x7b$
zTOtLN#e5{?(6apq2}8#Mhs0LeRCGyJZfiq{9_M)pqJLV7zWoO>@UZ=`QZd!wP=7b&
z_28)<MI%yeByqWYbywO<LrQPA+FV<Z!8vurq5gD=>`-BMs^V8kw{rW-yHb&2ZF49U
zi-EFz9VTj*>Ca&jW}<zBo{!=WVJOhJeVLwjI6MI$N8w-0DvQaa!ku#73@%*iLA61E
zp$8ua#K!qvF0s$@&8e?`068J<_vzoji)a=hpI3_J5%TTe!Yd@q&bT1S%I#N&5<SL+
zc_{s|6n$r0_?c2M#f57#xRCWyE|c1?r-~E~NnIhS%k4LIr4P<6+ke}wJ_m}H-OToG
z|5lnfy83mcYW<J&DYxI+m0Gk0|7R$*ic@p|G<b0UR)hvB=!;op(STG?Xs|u~k3jd4
z0r{(K$@cTbJ4EnjFHmmx>=Iu)gHyE1x#(Q_)bwd}VlMY#*dktbe7PCKIgLS-5uxl(
zwlDe4>3irzx5C{D9Wqv$p4+JymVc!Z(D7U4(YtY^nVGCAk0OZ*Uu-xG@-~)kU%l)6
z$L=`xXe>sM5knoi#S*0AW!eFfUV1*ab>}$Wt8^T{`Q|isZ`&hd_rvsWXmq>|4*eiT
z4!3{2J@&*lUMTc{)M$yNd*#V!wpi8VJ=O7|((!>^>39%2p6{>YHY>oj1>vQnOg<^w
zEs{ws1cgIVMI?2(Z4ISJydGQwMNFy4&g(&4DV(kc(XKC_4>@(jLA7k;$YR$N^rref
zL5h{zkMBx9a@1o(=~s*{0|2Qu04oAg6+6YOvOr2I+$ZPFY^$Dp=P(Be*9UKqYg@2p
zC!9I^jtM1$V+kKfN4K9cOu}SGN?7q*xe&sc-h#Y4!-Y)~w`mTpg5&F9HZG12f!uL4
z9~&6#Q_=BpU2cCbC)>8^*nXa<l|nn6n8ce_g5__jFdAahx_@hE<kGwSOOi#QRX^&)
zLyEB6{`D}LvKXk|1My##;%{piMjy1lP-><?wU`g(ybk|Jb=XRqY9PtV?SJh`gZDzR
zH+HMR?3M*SvqzoDbjE?$)0S$mcdrbbQTjLV${zcGLg=lbG$=;60l@U70ay{3s;Dkz
zl?78$L4oP^^t3CzcR>DXv$Oqt@vap7<6Y_Y10X<r>8{RqQ*trciRvVhTgq(H&1v}q
z&Q0Q~j=20GGtE?dla=0fifmhMqP;3$<U}asC{DwqXoa01(~pYzM&MC-i<T6#%*HLM
zs6|ZqCg<2Jqf%#IQhI|evcpYOX^4r3bUQ%NL;}tWtD@909lH2%J=6!34BUYDT<>)8
zGNagFckNuk>vZ%QcsAbVQ0|~n5e)T$-8j`sY=mNe({;Jya@@}*ohzeaj_Q7J)~&5K
zU0nX4Wgb{!bv2ZbP&tv0Da)z_^**viTeCRR<oy#w2FGZC`qDrHa=GiGJV4eLge!Z*
zG}G<mbzJN-*Kq|5ZFu0vMB`%IFzZ1J!{^s@&w;H#;hA~|EhUbM1(W0spBD3$(+#+W
z#mqH86^c^8o68?s_ANXg?(Nh}&vQME;cgRkJg_r~+TfvBa0A{u%eb5ccf+}!+!SpO
z$Rg&|yr~TF=)=7oxxr$Qbnsy)1{2xPDHL<I?z95EWy0bH-uIv&MjXJAyz3bns%H=%
zU_&J~t74+zI!&kvi&zGVmg4J(c|G8+mNtn!7J_Qd2s&LY2|O59Hdu%`&(Up~a6z`f
zx{gooPn){F85pj%-l33MG}pT>s#dZiWt23ycGdDN6`~6oz6tfZO^QTPPR0qrPKa43
z<0A!R0SP9Zi^#NQTrPBop1=gPS@J5?bZ9nIB#0T5{J`Pr6(PEhvI>#ov=E54)v<VZ
z-^gG8Juc?EW;fmIkUF!}B5Q6aJw%0Z-t|w_YHMq2C_&)Nb*iq{su||h8Yul*C=SvH
zDGEktxTJ-nI2<#D_T`&y`2Z|C?=>4aHq?@`IUKX$u8SHw%j8YThVhOK7A3CNkwpeo
zMooz$h{=wYq-U~K)BG+)$fj8IHyp07Ys_jf8^4I(G25lkpY=OB674eq^4f=?4#;=)
zii)6y9#vu;N$!oKq94nVCdB9~K^H8j9#HKR6%L>z3oVw@L=42hu%Dp959+;iizW)S
z4CLwtcrg<tDVyS814jT?G_#{ywuTx-57$;wzP+Y%l}h}?l!6H4B*F_N9r6xJQ#CEJ
zc5ELQAzU~LZg8uPJ7TH?6#IKxRnZ@sF<UcvnV_^ly&&2rsZl*Iwa+1O+h^&|8TxY<
z{sf{#6m-ug3k@aBs_b74*!8HplLOeSq{edfEc;p@=CZDmeC8S!z>EY1Z`DE>8Ph3+
zvMq`ZRg7?Lr|#N`_a*5yxyFRL)H7o#<|+s6@0lOq>TyEzgZa6l9#qu<FB&Kk1R8{5
z29;Vi+zTDBW=x)r+Mj_Hp9&vD#G}{*2!M)9A5f(jCa{rh#wW+Tzu_Zo;?{Igiz-Uf
zja_u>c1Ya)ak#*v6|16RpmKxS0`#w5x}jqE6|7}A6^cG<jB4(4<9FoVZPsvFxSzuw
z=r=piiScL^8%249ybm5byL!+4w3MjQTK4s*a&=`CbGCn_<`XlCb!3dsL<NpW$`)0x
PqUr$vA7P<7#H;=vl7J;z

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.labeler_utils.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.labeler_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..542b5957335276883cebe989b0f4f310683804b9
GIT binary patch
literal 545872
zcmeFa37lM4bti1uT1&F!1<OEN_Va>OlBJg9h1fC<mTlPx+p;6eSOH9Tb$4}FJylmV
zwMc4+iGgGS;e{_iLs$~F8OX4N03mxaAt8Wa!bfJ3NdiMMge;SVED#|1m@MD_oV(w8
z@78-&-CD@_7ozI--o5wSbIv{6J@?!v*1YkYb5@;0|0SC{3$=Rl<alLfrrDaQc9xR$
zGp*^~e6`tKdc)H8moGiOR8BUuD<?XwUVFN_l$?Vvrfc=aOuO1#dTc4VfIjcm8=Z04
zeqE<J-L1Epx_NC)ZEbDcV@u`QhGb2*-fdK^SIPPJSEj0sYCC#_I$5F*@!jep)sqB(
z|M~})7$S6eNwRjK0vNhWwTqGs6B_8+dC6J{>!D<Iqu#789qLV0l2WDHZP%xIUCfc@
zbY6X?L-4PgZd5uQJjCxc&C0y^wSK0zVE&k@Odo4kXX%?>vaVa1qgP9{&9$-GrrPDT
z^J-g@>D`ZXs_oA1W1VKTGPQep@5Dm86$2BU-48xI(XKAEI=k<#bSn?FTeEdccQ*j;
z>=uCTp1})z&M(Fr0v{dqV?toJ-N8(+xbNKFRPCH(O}#l&J!zp)V7PWAW>&ij7`z7m
zdj|fu4gcFtvjn2rb)H)}S-nuHx0jOZ=UX$qM)kHR$M8$Z4)OJ_JRjHA9_lVtdbR6o
zyDSvFsVItOtCeoAU7eU}SDMo`2TQvZmedc4rG>?PgjmeAITy8Nb4?9cT?MReNH&0>
zDs%11Le0W#QogIz>{jZ{PBhzVGH2sgs~vS~Rqj5Lpo|ON-BO@|;pV%5r~QJJ4%Mz8
zhRviUq4n9|xHB1@it0e?xR4=A2xLynWzn@A5D<bQxp#Iiuby^yVx~Ubo#?hEK;828
zs9bMGf+h11dHYgwYYxsGPaSP3ou5B=X7Y2^9EhtRI#xr-Ph0%0Wb-+Y<ajgDsYANa
zva`NP4y59xte@_Sh&VgNQkY=Dxi4zeJKYz6SdVRwc71n*AG|=yfMFAlL@I~ms8Tbv
zHOaMkXr$IzzK_isTMMq7&t7BYWFzLjYXLfipi0gsAXz!^-&IGRZa6vL*w<O8kVagO
zCXoHdt4p*rk71NKsT9sm4%xue@kw*3Cbqp06)iH}y2yV;2>I&?`2zFn34ng2*B-CE
zj4=F!!Eo*SSy+OlE@q%ffX`RE)i&{-%~;zs^kG)jEGia*?$7RPv)7ky!yH2kh*yB!
zWP@&^5N17bk@U`NBqghwOBI_92^((*Hr~oB`zee98h(KkRj=Y%Vacj}YIOW^NBu}>
z)P??0e_D>ZC0P}DUA@)rs`d^g{vmiEA_M@C01MUT3`G3IN!V2urlcLSMSkr9`B}T?
zYy}B(wK_Y~nupF_O3qzag!O|5-Ngm0)iu1Jm-v%zr9D^eF3F*w{TKHMg|d`flS2;C
z!e87c`a49FcoI1I%|6Zjfh>wuGgYBt^f#l!C6M+l8i!lh*60(kk^>E{H(K8*nmf;2
z#QuE%vFY%C6<~c>gB4(`e+_i~D}AUTwxX_6*y^ixM;2Rc&}v3v;WG*>!%Hj;oGHgo
zf&XLon2()me_(j2_C=SAco3V5YJZf%A@PM6*hSt86opp3z+Fo5wlI*X_)`P)qv1SK
z!7dhV4i8{^5Z0m!V1dUN1_|&}$nyi?AM;>*P8h}z61*jr$;#e$*0jB)IQYZYgM+2|
zH_A!aJMAjWs%FQMb_t`4C!UL3%`hq~xNR9YI=Nzu+b7tp(Il4Q8o}q!-@@5r6>?1B
zdqYVrB_-1MttoPnmt5;=Z6P^a`(kZvvVOMLXt2#t`vDTh)!J6V|9z_f&lD|mtT|<P
zPQ#(I;~UC1Dc9~$vLo4hn5o5H9(nKWE?KbTRnE3s^ZZ!rbT)pq`!_^Oy(r_iFb3lv
z%S~vSE4;zlgqUl*BwJ#-8<Nd4)!BNpPIkbAXAw!^xFLbn;CwSt?^fq69z9Bu^1#W;
z{6eD|J=p6m^t$^>k^3JE;OTk?qtIjgt~44^G`n|KXS&s{;!&r!Ko~5c9qY?zk8HnZ
ze2@H@_6r~F)lK%wCVQ<W&-^a&aL@QHs>dk0u~eF`Pq$l9<@lT)#(a6R9`I(_8Xw(M
zny>gx%!fDLsD`=840DrIH;7fi-n226Z1&KlL|fl;L-&sfx_`6?-Qy3_*MjsLYGd&S
z@h6kLWJqceQaO4Xl8sZ1*7UK77x!9S+xwCq#GgVxY8^;6G3#PmPFkxu=l<T{;`21E
zvG{ZJ4+qzBMnrfGtVYYvG9t1yI@V15NioQ$`BQ7%R|+$zXpo;h6=qJsNCu~WBBuMt
z^iN@&!f}oTqAXeNMHnrd{)Ug!>Zx0gFd$CRXa=|cC~*7Dp>RtJS0F5m+mDMu#2OEO
z`hNP<h=rfTpCRQ<lzWfpT`3RIn&L%f;op3sTA!<Rt22&V{jQspXf)#TnZA$&QHE@7
zkbK#>EEF!Ke+o13Mj%<u&7RazvVRXj3hskKuXiH+-(0m>Z9{)8M%~J>YSU=@NnYpm
z+4?m5)iNkKse{5LM2PD%)u?l<QLVI_<E4EZJb)UMpYFp?C`UFW$Q6dVth5)!0J2eO
zA9<;E6Z%l~WchUaA~JP46yfHl0KGZg=*@sS2#Zo=S_~vRbXt-jP=+nDy|hnQr2CX*
zgEkb&YIfPoQE*2KFnhYK9^hybc>K9kep`}lInif~`ut5mwQD?jlTpK4NI>dr6`?u=
z;H>!JWf@dbGWXI{A{yAB?#AMAZ_KbF*(n&400nDpN&fNQD@W+H`tKJ7DGVDF)!K4D
z-w{y3Hu39ORtu*Ff?7mC-6mxb_JU6&HmrR2N(RT`hrqPSI=EmQ9E-n){^a1R_4m4F
zOKdj2np}-Z7QVFY$qI&4#84YNwHG9JRgYI12vSxjD$~=wc4c~Tm|dNlb42RK`$o#x
z(fQA3=#EYb{Jfh}an1B{ZB{)vdL6i=uUQ%Lois{yW`d-A7aPJ8^(Ougo5^y&hP1;A
zAnzZ0Y-iMM_o}%*Z1(0SgdW-l{eyiV?tKw5`Z#YEh?qNdyOVScx;|cQPqjMGB~z_d
zBf330f}wUst@(PFfKz>SdvH2w3u$LGK0f{!zAJBgX#d^Yc1GJCIdtEl2OmAOZTrp$
z?)+?zyw8dG3S9J)6SR-cS}OX!=uoR!MLYV3x1mIrvyD~-un;ap;Hg||DAcX^CRE%a
zm62)0lxrtzi%vX51);FD6d%)Vle3LmU#>BHQ6Fb21)cIn>lIecFVpi+^9swgAE~`I
z6?fP)vTzqaPTlYtdV_}QU;bUM4r$Suy@s7d&>>r!9f+|&YenqfH!j(if@H6yMt0*L
zMI$JvJo^;!yTb#dN15dS{ks)Bw7tZw4U5ezVvU@YsOt{^BY6p%m@XcEAq=J!lg$|c
z7K03q*ng}Km)YAE|1}I`Ixgh^`Oxr%@CauH8on9^vLG7HgZA{8;oIQ>ierJt7={<J
zcW=%=FQn^gK_plUH+z7w;RkSy=AaPqKDAJ*lruJK;{*hOz%ep(TTT<IPke4kZ>S_^
z)@xT-+!{try3o8Cjq(c3d&2{y6ITw9A~fmEN(jxzyneGC`ehcH-`j`FY@xXj1~MI&
za)5k7^JU=?ES^4%Xn0*1$bx7{5t{D^4^SKnIfZ6FFJ#NKkA`6kA|aR1{P^$#c#<$A
zM7&Qe)CPs-X3w4M6OJYGff9)JBUcFiQFyB9@P84F@(RJPh6hL|mK-2O2-2GjA;_GT
zl`YV39-O<{?P+AOmy^@~m67L-7Q*w8d~)T0C_^9LZ1x%`=IMLxa?mrvcub$!RcMr#
zgKi8Dkj_DJfD{g*HyIps0YyAa97bX&MSakBp0#<<>((Q%wYu}F4<2N&xp|-umDyVK
zg<&AmQ7H%LM?;GGh{FRE$3o6U)rW+0cSeeT>8H!GkB6ZwiUvgBya8Sl9$*MG&=|w;
zLbeutdl<$L5<H0%TH@ZP*35%S?kQ;z&_0Q^PJX2*t^an({VU;_ri1?rXp~n%eKtHm
zIx6J=DH4j_WJsvh6c85E?O%`Lr91a8dwq>AmKcJ;toS9ypEq0()ft!o5za|2(#hMc
z1#CcfTWxz^bJgvN1Mth8|Gx$2pR8*2C2z<7LQTfvFns{khGcEM$tUQnE!Nc(s#nm6
zKU{#Gvc@H@iy=BzF<a?1x)ZefQ+0t$E|HmH6P@`=yUPhmoh90MiZ7;K70g4fxtoUB
zU*M^ht@zyqZZ8TI{$m#@<3XfkgdTRFQQj5$tndKoD^w1U!k6?WV})+^c4Z`j`d8~3
z{?KFB!(PWOci4v;a#|5`l)>xuP#-q4&4_9k%5-eX0s0ZaS-vhmbixBzS|leLc#I*C
z5HutHLm0{+8jK%$9`^3kD&gNQDwdXI5TuP~C6K>+_yIgYlP=xEtEe{>|10FJ-en4i
z@?Q!98kg|eKQW<X`9K&hL1PWW#r@l;3VUg<TzdUh7|JVsC<hC50lbH6YY7AmsdC=!
zUn!@|7S*MxEfpd%-nzK>vmh=q#QGnjQC_kB58(mQSD+jqMXb}C46$B<0WSB;C8lx-
zvJGq99!HkvIR)7oj0+^D%#q$Wb2O4@)%Pjt;+IRw$ZO@zBOTFUAOK!J3RhDmf;aXJ
z;jyiikfjWg^N_^jooeHO25ST{2XFDE3%W306%cd}1t%O7bOT{<1f9UPR19gTp9(`V
zgfJ5Tdib<R*e}cme~Uv!smTj*9a%m`s%Pf5^s`~AZT9jYGFH+ydmJOXA~D-GTM9#&
zzEb4?DTv@yAa6mwJ3NF%&8!9K9S&S0Mj5;s`w$Vd&we%xXF*hm1G=tQ{6u(!;+PPF
z41tJ%f%ki1AVX*vxc20kw$$Zk8pl=a{EEYE@egB7#;>9DJA1{%{|}zzJ6BBS+2Yqx
zFHg{ZvN+5pGnVK)TU?X-{*btDz-LMT$n!f^&i-8oWQt{^QY=Nf`E+X@$?25kt+RAg
z9{GuSx5kNo@`1M8m!&VwT=BPvW@GU;!lbkKi|~MhZt)yVp3n8gUz3d?IW{Dv*?P5s
z)Is;)zdXN$!bAMpim51U>6UzW&<b>v9#X{wWL2UqiTy}Vh11e5SmzoYp84R;Bi=+`
zkHs74A3Y-yfEt*o*34obuz0<33dbC)-SlZvfh9f;?VsV3Shz!RO7bF2_x}9Os7yF4
zSK95$B8seZw{J({<SvU-kaUkqQ8S8Ts1{DWiDQ8!IyyiZ`2t^5=;MM0P7~rd1=Vb6
zHRr4uCBft`sj-9KxCGdnn*hm193AK^;KU-%axA^d7De&jgQL7d+wpEetn2X)D6}Ox
zH!6GTf?hcmr>|ztNiI}~sLn6cDxJD>3RvV|DJvx<>+3#mfG~F*6ae4D0B3({t1gi*
zPKc?VTxis%>)oYSXPtD9A3(?Pv+@6472iQW32E_u{8CjAVu7ppxp<~oZdF;^-ah_j
z@STmnY?vt$D5ods;i1|ca}6`G8dv`1@=b4;vD;`AI#Ok$HlD=C%yT(Vdjj7UMr}Mx
zbC9R!ecb*Cz01rswl!2i+?vhkEvTi|mz(wz!;Je@G+Gh7z5^W>#%r=_yJ8*ua@po*
zhnZf=vWS14I+C>W2l>SCgOFqFcSpn9tblLUL|=L04gTg~%6BFg7^(dOrN2g1Qmh?R
zqCd7VvHX&D!X6ll%a~P&XNaw@qnYC{8GjmY!#_$a^=ZZ<>4|q4N|8R!#7N}n!+4K1
zaFUh6Cz&DZwZ<)*9e+;~%eA^QxnJqGuQGB{^&7piNAbfNuFxH*&DN}UyUQi+&qbpU
znTHm+>(Fr~a;T<HEHL9tGAMGl4l_TA{!!K0u3^UBu~N9*z3jL>FwFe&;C6sIdt{h#
z53dwn9~}y>AyqR!%>2?8Mre?i3_nPkKBM6sv6P|DQoiH7>^y>7i`yi36Dcul$Odb%
zzhvnfmV`yLn3w4ml_}S%jLa{b^i#+49utloy^&|pyDd6Qhn$lxJUTqb33EK+zNmIA
zsiv~4#rjg`r26W6t`W(4>nC$_LZ)a|dh0);s|>%4UfE<Aptm?3O~RiR3;PwXyD+t+
zoAQecUiPO$>#hHSjx&+NdP`s?zux-YVdj@INP;?M5{-Qo&Hi}!F~Zc76_Mq*@-LU^
zzCO&@e}_gZVt0H49T%ow5)22IHn{wr&2^TqC)ZEV@K`IviK43d(?##tFrz;ejaCG`
zThVcG^ag^=Hx4tsl+_XR`1TJ!NScPE;T-{(p&?Vg+n!%7Xf{X+G=i4&M;)vs-#K70
z7WDO=Ewd}5GNt@gD@_^bL^LBpabm8UR%t*LBE*TK<y7B{f}JzfsovZiqUUJ}QD<mM
zNu>YQSYid(%uVP_CRPeCMpqdMkX||T53cfc5({dX>%U#lU+Hz4OUgXKKxThBv>N<D
zbexGIR)ZQpeF2d^^kgiLl<#(MQJj2SqS2QWX@v#ik2`pQ%nd+u!3FY&o9ZZoAls?z
zP#5<z$Q=M)HKJq#nTyoMlugnbPx8n=7E#)=@v|r8>hT|IRPrMF<=mW@$suYH{X8Qs
zHTprX@-L!+(U0Huy31Y@mXiJ)gO~m3(97q)qvK5E@bVFu$!|se#W3?r86-J(yE)*1
zpDyXYIs7PLJMsdTx0NjPAG^@3Ex9a`O(=_|=b_Pxm_F;#aUPncSqy#5o*@!bzPrAN
z2+;UT3N?dJ^hX{n6hAg#@e~w__ok)|MqE;jHcIb7^%*YD7L_Z_8Pu3*Z)dYXH;Y7>
znlv$(k#s1fVa8jHOBRaXotqakc|-}teaxY$LXlqO7mA$ICnu4T4E?azS+3>t5CfO}
z>Chta5p<l18WxEfFMSq8A6hb&Ps(@Y+<c?yo#bzWh2xJoc;S5402KEvoM4ynRTQrq
zi?7HL>bhKfx`96p_qtAex;jU%=Za5N+K5iQa0^{VvMgdm1sg>PV_o@Bq;W}39{i!E
zRQz^g@v->F>7QKtHNdT%?s6d-E4X`8VT_0ZaXL!~)6~_D+=gYbH=R)?E`9`=HvC2W
zJo@!Bv@RaizmDRUUlL9x=ZsPn?hvkInCQ-;1lVG=Eh>{uP{nP&^I(_)ad+e?5EmLW
zy;hv4K2^)Ez?K{iby`M+^J)WSM`y>6Awi}y{s8?=7wFKmDHVwem~qK6az{lWGodn0
zWvQ~?3NmcCRN0fdZSpf`Xkon&iE!H*F|w&zc6s<~v56o4NDBm3)&El?sCX?igWULw
z)Qwlm?7DpXB^k;TthqF`o&3xkomj)4@ne_=@-KICUkgqy<7mX+pb>CxW$b5OSrh+T
zc!2b*PdPx!u>pExi)Q=8pSw!Mw7pOY&~SnGnTwB0H@f}jvs?mqH~7QZiEQatk6Z*0
z`aF*GRDXddS6$f2LUtDWUkaibCfe*tu|D=GnGX~X*^gYr-4aGzI{Y{BRP!;?J>db;
z8A%S1!btQcgOQ9K+|NBJcJT|no<?RF9%C?{9A)HrqlNHXgii*4OQ#*u#G8BC0rj>$
zwU~m_{=BpwTy~t&7=v;8a>gmS+<qv7-Z=bXNx$s#N<Z$k@~D;0v|%71c>7V9c4+29
z;jyh`XWI$0MOnO`5^d>9A$<u~&f`jA3Imx)rR}Hjk!c)%0-|gA)As+61fopa7s{E_
z_CF~#%)qq$1J>O$ykpM+R}^(;u^G+PkE1X>6?qqbleHL8-abmdS71@nwV2h0PTXIn
z-n3ATe}~9F7XP>0Tp)d!v(*Y@;{CsJwjkbla3kIP!E(Gl<=OexGw0}l^dGZN6a0A*
z)T+}2e?pD6N^9^wDEfG-1po|A7^v~peUHlFe8{VqnJBIW#$s1Ruop%8JGkgzx+b){
zn--G8K3uiQ6?>ilvxJBpjQJcUsdLR$oa$fjkaxgR(^=`QBVV^9PtBZ*=JLQd;C;VO
zBT}-`RKLwIW>3<JrTim*8Yas&V?hyZSOieyS_=h`2iH2yq!Gt9wG=Cw?z}+z^~*=5
zZRjeSO!U?x)6=r2W#|<62!!%`9ZaZe8Oj2L3U;Z2Uf;+;ei`(lbv!7<BZFRF7MwCr
z_^cBOMW18Re`_?dKRWG^AdG}f5GBCyBsCf!cB~_5QfCRZR-cWqS6DrX^G3MKq|H^@
zl|wN2Lk)Z~_*($lEiyaA-p1k==U@d%G{Qn5qJ_CeMk<xkscjVjf^Z`l_fuwuCJLe$
zZo}~P5F+mPc1%db{oX;pIPS;4(&BzH7&h!p5C?0xIERCNt+_dbzfR!(9Hduth6(rG
zmM7eoF<yG4FZs|J8obJ!#elmZlB+UW0^hi(n+<W&3#ar>gkJ=g+2Y@oJ>fv(&+4{k
zDXmP5@v;okD5;qFUJFB(<WFjh6pt(#Y{s9aZoJ6ixn+4O>dME#Ay=X7j&~EB3JsAP
zpVpV_##<E{@;RS>8l0LPqgsCF^UD~!FMwuQs&eYe`AnO=k;L&&qqpUEK0iw^O6OD1
zkNuaAO0=aqpO${!gKbD0*^O}D7o5pXwM)LI638a42L^P5g|&7wi#OCP8*ezDO^J2%
zPodqhkI<~dVer+mafm)-WJ@in@BuBUx!ll3TvN+;hX;4ZuE3x|OI}I8SWEJ+G%Xnm
zXh+!{dvu|V+v@lNpLTT)W)rj}J7p7{YP()()L&AWYE*~On+Nmg&0M2rXwhFeL$zqm
zIStaO)4BR7FI1+FRp#XFM7KxV?&@{At$AE%q__N1?ku_s_Yo3Zg)?_5xBqSpuE?-f
zzFD_Tz7uF~bo4WFky>f&oL_5U$ol&^8h6F@x50aSFLmST?>$9XP;#Bw-nlHJ2l=7d
zC0r*zRH)E@yOVuUaIzUYh0jN$ygP-B@BrztaydXsz@FaNYRcLvEV#k*3a=;E=*?rx
zcy)$yZt%Q}k>`z;zQGel1FVU>#SPyPoNKV=*FYGYnqTXcP*rSa9=Lq>kuXF<)cz8H
zx@Lq;MP(Y(T`|vN8d!J5T$Z5%`j*vd`cO?y{NYaQv%!gFET~Tjc&yE*?5+1d2oI3H
zpyU843yR)kET|!?68^2%qsQu&$)4pT47afUN+2<1j`YTvqlM_~UA{FJxUIZ-q$4^E
zMDAU_%fe&lz~S(_d}0dTLP{4<VYVtDpl%AzHz=S6!r%xf%jMmYr0uWX6NY36!6X3m
z@M%%7UoZ{+mi+rPTf_D5*E_~*$_BIfz!hTEAQEh;nsW)8fd=o^S1@?Uk@Ot>G&C3l
z#=Eihm*3HUF3B3{=nF%S9sL`mph<P~%a*5q`$NK)j4E>#++7ZLztOH%W)^XExbQ4d
z;!AA!*}kO+wRg1JKVmPM=J5{`y~pBL<t97LoeIM3r3s4|zz@pCka4Eg*+U1KogVHr
z$L3fC=h}J8;Y6jAGToiD8*!rEXhh9c7e(-J2YjofutDz_Q+n#l-?72Qn*}!BG%PmG
z11b$R3@`e@Ix8Zg7zZfTeuLXE&%VJ=0b&sm`4Ii$hzS2mjfe=^jS>;L^`1Mc-O9t$
zt#&mk^X=|9uNmbCW^7+d#&di&Zu(CTY{<QjKqBy%>7u-&(w^(=jCSlehM3x1M}$(T
zQr>31|Dn<Z=kZBXyHws<F)wBEsXsNhu*>+F+^nL6*Qcq)So{gyFnQM*8ly1?lu5a#
z@UrGV(CA5b#Y2}h8`Q?XPu;L9ZUPA<dtM@a*nZ^F_s<8w5xV#|6%KRp@n(-JrN?1B
z{x$r8c<ecRI}}&0+Tmpm{BscCpgr|ZXbKr_A_=Q$v8a*6A1-!En}Oc!&~duyD28!m
zoNZXxR?#;ENCqeC)f!Gi%egx=Ug)O_>(xP6gNV5TO&!Fn6>>zOM*ZmyxF<MZhCe8V
zDuSHB-;&9g#*3z9{9l0Q<+qjof~Y5LC9x9OR{A&|6W0v1m2SGT(y4a#Mf+G1@0%27
zHahL;@%bvQoS*KDPvL_J@yGZB{A^M%22wuP$<~Gs%p+jrh({h{BqzIy4~QDD>twM}
zONYc0G>DKf*XDuVz$#KhJQ!U^w4AIyiCoSlQATwA!s0H*(~?sGnM{oebu$(}hJQll
zb+Q({&9tVM@)b<B9e}urzD?=UWQ~9%tpF$OYAwB5)G&PrtvIhNCRX7NRc2~FbP;zw
zS=)Mcs8D8pVmm)G#Fl<EBeJhwf$yY!{XO)P*NbIeZ@CNAq<dW$*!S!rTP*63F{Z8L
ztk+sZ#jl}W$KqGZ&Q-FD%VH^zokh4#McfbUpQ$W#;bqY=;ZCDISL-$wDZ3JdiSd+9
zy+yTdccHUy_wKoRx7M2)N8#?>D6!mWwQ&;h#BLNRX*D~$ry8xP-N*Ng@4aDskM(*&
zzLp|t_v{2yrZc{<c+LGc?A^QT{u^$&Q46VSazJB*LXzuqQ1#6oRjEWZl^JeRp=e7$
zC6!Y%RfywLFp_3&7M}mn!$CG@v*7Es>r3%_(1s-DyQr-|W1hwOWAynI_mTUT#&bvi
z9;Y_1iSBAGEVhZ?q8s+?y)`<5tkEOPRri3aqW!&Yt<~;~NBiLkAEwVb(cvnB0LQB{
z<E3j#*F^WDG+eU-9_^u?T${5__hYXI-N-jPqvuuI9V(aumW;}jmU^{(b@le!(8FS@
zhhy-I>}dBoRdiABAYm0J=c^~Ds|!?r4yEYkQH#0)KH=<k9!7QoFrx33U9_gUh+iOC
zVH&einey_xsM2MCBm77Fg_U&T#EJ0=13TVo&+TrAsdRSVfAFpYhaNt#3jm{Y)u7ng
zlYQ`zk2D+AP6xr17x(IIplWI{sw_}#ZQ9926y*dZJXYq~RlGy8E@p6|jfz9fxt&p`
zHQR-9ssfG~?D4njQxLB<veoQ>Gy4OeyV8uV-v4lP@ZqbYJNG|)@Zp{4<I#ghp7Y=%
zN1{jfA3nVQ(2;`&9*!P79NqQcp}P+rIr!iq{B=*X|IqhF_Z>WRH);by(txHYR*jem
zXJyuj3{3jy;VO|zlbP!p(BG<@I_A}!>tTaCnrorB5@qp4xXy6C-XUf{%%wR4fEsm_
zh+!|cV{wq26p{A!W&KZ!xc_r{IR7h8{J5OkSDyHZ)5ZOk=>EskgND;C0G1#Wf58*Q
z@w@Rr9p*@O<d+f3<0{g`)e67vfs#ind;)DOtw6JZI|vU0i-!KQsH`6iob|26HLnzO
z3JD|h;Ns+e41ts1Pshnox*Fy5N@6U0mc>~1|5q9-k#1P@C|!wjdMWgOb)_PU{5MTT
zn&?c*?g6`q(&}83Wp(}t2z?MX9qqxun5&Xa34^9qY0tNs_33CHwHL{9gUK;nCrhD3
zE)o7f;@f!iV6O}RGHS!Ls8S!3FW9p)+WXk#c=TwieGFz}t6iFEb!*W)t`)9}&;$Ea
z;%_cX6>%7VZhT?8W4v_jwWWI|Ui!i*IINFHw@2l@(e)Ak^`aZLM?0by&bBMlFMT0Z
zxogkARKxXnw4>Dj@bQ<HWz*<|(=*sQ>i=XrbuW7p^LqSof?*%-VXDkW&EEV3Lr6iU
zL%sPa%D|n4aa4aXE*Ow+$VMdm(XIs&bH`QV3M?(oDLk^cP^D(#0oh(KET^hufl&oZ
zU>p`AwHD5K8H(e%%SRTou$Q%0@YLUVS|Q#AFGefv^@<;qHd-tA!@$E%*gtulWUE_J
zusbn=9GMjC(c8em%fN5vIQ+(c34S|=`R$xEe(Qe-ev?h3bC}=yKOufoPtOE?(`tUX
zF!}Fy<@T?K+yeSiM?lA)0#mDHgf&9ZVY6-i$o^?^#MxWrtJ>kcVUKl^jt5Qdj3(#n
z)9n`jsL&5~?Ix9IhitxET=O1rTN2yU&<LI_>D`+}n`C`~IXvY;tWImU#}x=`1&m4@
zq-EG_^*YEU3}{rgwy6lWW@u58dk{?PB)$|-YZ!f|7Zy=_mJh0UH}xf;!tRD6FaZmb
z%)ml_da&F%5-e+&9ZZ+FXoy^YvM$23D;XA2;H_6oWx8W*Ju(u6PtD{|L)q+aQs$9+
z5nh4D7XkLr1_-I3PhxfAQx(QTBwm<V$d)(-B?w+p2)moaS>O}YXsg`oUbYehOQbaE
zl>6OPoOhY8H#wI_*^!RjNL(iEM%0IK4NM|<T6<YeqeZq=Nn3hWPbr+TR|+z>>cMIP
zRI#o2Lo*Yz>>G0<)vkHq?oAPE$SVn7$6N#}F179fy|slTzDv?EU|ZhSyjL278aHPc
zTv&8I?glOHvG}!2i?AM%7r4BJKMmJ+cvrWE@N2Erm?6eL(5TMi3I;@DXQRal@aRm0
zz;T7n=^?3&yaM$xMUCYZF8D~8|9f{bQOR|{XWeMecyy3TMW{CQPKk8$PFeua@pJQ)
zlccYmZu<LRKKE{e*`PaBtH64q$<0gQ*F5gb#$2wY@XL(TtffG2y``|p#;MUPiTfO^
z;J0;k>H0}Q53$*g@z;vKO^-a=-}3;-o~`A4_#>nDSDXQK*K|B1ph=<7;Klk2%q?Le
z6j-d!<T@o-r{xD1_$sBw_UK`3+rR<mH(0f_w8TCvy!cL+Hnq}K$e^<w|D2nXa;=+x
zVoYSM8+z-loAH8kG~80OB`E8UKbW%LTwcoFIMbz=ic8wN5kZOgxl35cQv{$=$-0L7
zQ9@DvrBTBo;<}4mTxWA<F2Y`o?$}vLwGHU4N7x+}VF%4nL!K0A1%mqH4kqZ8JdbQ-
zki2x3YOqUHj^|Z5*hE%#A)9u<&U-A&@pSpq!L`72`5l>%rT^A=WsZ1}N2D+kHVG5_
z1=MJO32u4$Yq_Ge;91gM@=pzjegfjPionAKbQ(E`C(%rBFEg4qsxo?5!fNR`&-5%A
z-9J)fdaCH!4^yN3=-wn#q&Qz)z|>#$!u`kv^4+<Cw3FhBT<@K@!v}>8SHpihQ!dDy
z%nWZE{9P=Wfv{SL8N!QRR#P&bw9MHz!LG{>Hj#Tl^%JU*Ny-+1cfB~mA89(ppC=lP
z#h;^ptRU4O3@QKqzMW{SV1)=DwyM%Sy#>Vjs}ry`x?B>1BL6tLPFXhXao!a{j*j{<
z(d*V59qY6MnJcx{430_UDyd|!Hg1pWo|(|oLZalET2(1?B7-VG%xAPLFHX=k(Om0Y
zWLfQ$PMq_oQ$d<dbwUKYtT!q3Agl^a<}kq~7wsa|*L|p2l;z#mg8W&og$@+_jc$9E
z($O4#xPLjx!y>(G9qPWQuXp*0Iokk_k@!PtDD|gHto0WMg-QDPhSg{U0b-pr&OXw;
zB|Jd-Nn<%c%5i6UV+%j)EXM|vNf+xNO95J6xLDZf^_neGZS7|l9`=rPTO-+rLSqWK
zCCFnJ>Gw;V6b?(1^<9~<>J1$tK(=zS515?8-MXwpkseDFq_GZtVzCbY=_2jHFw)W?
zzfVAui*+6g50K6}a)1=pp*PFVIvuZ9kABu!=oMt07Gu>LIz)gWS?9WZ%A}8<&Ue}=
zw(_33-1Vj~UehP{dd5RO!StWP1Eh1893X|e=uHN9U8n_<d)-REg>H!r7aPCi_3n}S
z)Nt9)3GAj!p58c<x7K%d5sLrjwelvFPJu8G&`SMSP1~sblknI%5Sph5MNr<0nRqKP
z$k!>D7Yym0oxEMGuvNEv@#1qXaS7$3Ja|Mf%=*|nELMx+;xHsb)S?godib;m*{>7_
ze@h1ojZGT=8=0qMue-G<til`lxNmQ8^7fIWETu6r_w51*p`BuNn7bx+i_?%`&=>!2
zAZGbaSF%|YzYZfOmt{CVOJp@w5g`#I;e%&?C7lP5hjMf?Gf>WdgdNz39a!y!dr!6e
zjUOdqjm3}TrWt`o2i*RWxrISHEE|U~P7z00L{iN}&krnTux%BQTq~Su_duj5wA{du
zqF};2{o;ZN{L3$xAe?6f?kF`A?huh`Dib+uOyK5X4adcZ+0lUie8yKE&{G%`2e{o@
z3L4R<t8C8g;Q$^&E6s7_{LNQSAcu9lwa~GBqOx`C7>>fywt`X>>QBx0?92a9km<v|
z{3~_a<ZPpY@!|_rB{nmT-$;}1*A&+kAXbVclef7`#Q&rTkydFUkGAo=+q_`pc75Lo
z2t%ULQ$}fcHsUdU9KEfGGP<a51!^@U=*_bJ35o7OYUo0_jWD~{JK5a-Len$;EOm}+
ztmGKE&osy1Pc1|>qfcr8UGvZ81WOsI`9K+It~S`tr;Pp=h7`)^%k+zt5&z0kMgrVX
zl+oREt0LWvT%Q|7A>CR~A(>ILmC^^#e5GVhV~}FH(pna#ohbT0Q=b+p##TKg^OaIR
z_9M;htb)ERxiy{D!z$=ox@~ec;(SOoWM&<&e@dzvTCK^FqGZHNmk5_pKe_gtvK$sq
zg@{3ND~L-legOrMh5;k8;=c!5tcZfRG<79tB_XK6O5z_RXAV*lyVPDY@_d|fc|x*L
z;+{zX(!NZ=R+`rF?L_CX__o~SR=&>HX+A=|+#(x?=w+!Fg$bw^&8>!3`P9o{3@Oyh
z!}N>Q3;)VeF9O_A)XM>w&rmQUZ-VYCs9&sMvlYxwo%ssJna3avW9^-jyJX?ry;sKU
zT5hyHQ#!_Zrg@%~%zTjH!%C*E+a_lv-iOpOX4>&f2?PDkPT{cF4{J;g>!^$z7W)qX
zAtbmwPb3WqMtH^3=xs$5%@#}1*qlz{n4)5WBCKg<B~k}znoWmkVR=C@_n}@h@rS9?
zvG_x>?{wSD^CvhaR;3m~PkcZFmdg!M^U$*!A}01p3@P-)r|1{!3I3I(Cj_{o=!rv>
z>2Cday}LMpg0H<srHxdecH#IK(ra+ow!4U|nY#)qjI{ByHOJ4L`I;krLW5L@?WCml
zfXtS1{3NQhslYL;Q;GISsSxXlUJR^2zATw}@Jdh;L{>@tl5Uus-MBZp_bHk9MJ8za
zOBb1cr*V>|2g2Ie;4}VP>W28jlE}Y@XDcF+2lAH^%>pVG&0mo793+}=Q|bRWXJcf@
zY_AE?f|K_+gU?O?uGXS@2J8~xoDE;Ss$GJS`q1QwOP8|XUr+z!@&}cJ@CQr`p7t8q
zIHYGS2SH&8f<J|#mV>ZfE!VW|kSj5$5d9JTV$sjPvP8cCcoflpC+g%)G+G_LZ?c%w
zHc67-RjlE-8Z%SG%N*5;l5!AVB>8Hy>Ot}h%eYY8m1!Q;lnT>k*{@gMDq(3JX#QbY
zd25h)!pr++-8T7&)1azMh0|(t4hKd>c~-H~?yoE&|J5LYHIgx|FZ40UXtHzq)`~9#
z`m8)Y`!Q1K<)1E2AJTY96PX#Mc<)D}&?1zosz%q!Jcqxv(#VFdQ(Oze8caf%5l~pj
z$y2BJcyPcB<cOh+>L5X5TeSVi8T>6@ZJ~jQ@1>ufg4%;;E25w-Nm<o8G9@5k>3oBP
zFI6eo_dM*|KQn{N8d1wnY-*J|+jm9_E&M?l@2EIBQ(dT{j$;!lsVTG(&Zt2{nM)o<
z=|b~={1XK6So}5#_+S%E>ZCJYf-phetO;Vy*BreS2@Vgp=27sG<#JReBS4)1#JODQ
zbQpty%M;13w{wZiscOlg5XBJ%eWHa5g#Ao(qE<z<Owf`}99E=35j}@0tnL&q+tpqN
zFH6)GIet`s5<-y60o7-@7%NrWB$`K)6|UtGO-`Y>M~6TMXSC}$b6;<kCWQzUlbMv@
zxeTP*b5k%B`WZ)sQ5ZTR2clHz;l@KulK@`C4I|YBa3-oP9V3fK&2$<A3Y&<k6n*II
zLZM0KI_n_E`h35)KHUS)=YhV;a9C9_Gi8h6XS}B2fPt*BMB~Ymid4P9bSa94z^5Aw
z)0BZ}%5=ameQG3_F796grvD`E?LcTRa2Jt6<|cb-nK5_{Ul?f)m!_^$GenZ{!N8dW
zdEu)g!F)cKEKoAUg4KJG1I7Sv{M$${-ZHdY(>gI3zK@idXB#%kyL%r^Sd@nr>gtW_
z&Vh!)e{>0g(Ob!DEQt-((xftSsM9<{x~o2eG7(XyHzn%Q!MG60q)oNUtBq~YAtc);
zOUm=by-KKVT&qvl&=rb3Pb&R^0vA10xIo_(S%8{~A~#U;m~_DrE=g^vfoBg7)K{K(
zOUD*1w-4VH=0_swsat?F%e8jJ<XV9OwYXOkLJSx4qQ1)OAeXSDQCV0%Efc$Dm?ZGg
zz!|JpR8n(DcW7=JX%^d}oGf5gOztKrGt9j}HlT5uJ(sLMaFWmI>4Q|}fd(;tkZ>{<
zKTrfU9Ceq=b5qvnyC)|nMebmU*Ix9%;{CMt$~d_oTwY#^opFA;T>x1|$^DH8xuEPg
zn_YI%{c|U^;-sH?3e2FDO!$-Y>N7VivHN4YTFDwz_OH(@(d)hBv&0hu6EDC&@KYx7
zkB(lf(j()SJ8(NV@J-=?Z|ol!7Ua%CXw%>nYzMm0RBf@4o8>NWh@MiLFMe-dvUL0b
z>rwLXOm!9lw$Uhes*PC^x@6FA-&dkPb-;sor83o_e{giHH%+(JRGMY^@%HVw@UGiy
zH)U&H{N?x~_BfYijH3ia=6j9S_^pH`EHMvRVG;OY0D<75TqGBv{Sw-PuYTQv4xH=O
zF}!Wm*@JsV>ch<X17g<iD>7?aF3^<U%To>`>f?kcg`FS+#_#XL>FaU~@E$S1Yjb=m
ztJo=Fs+@ky)Hn}9O|qFIAcC^#cQSEE!snS`5plCEB0kTPaAZ^5rQXE}>OSH0r@@hL
z36K0;{UZnIV^jYUS}@XJb!@diKBBz(Y1m&8C6tr1?pzH42fI$UG2k?*3Lj8)ut^mL
zEpMMJ!A0+KRWVp}^<!j{>1_-Xm0-JERvgC7H7Fd(mt6407M&6<xuE{lXozF97NRm2
zXP)ZS8{J(1Yw`iI631ujT@1?Isf#|k(R8na;6TY~-`Q>g0sDrZs?jmYD7}CP-}X4b
zwfr{OI8`FCWbka@U?qFrWneYSj0~@A=`s@pYz5X%710dT$*CK2Ag<4Mcu669qs3qb
zZpQYOk+6MTPHxo_Kgru7Wv0310u}X5lM6?8KuXhk(F}=z9oO`Lk${_G8XYbUP6h+~
zx*1$jGfnqTA!JvH?vZ<zl}5zKEY09jA_Nza&4~MGdc2>BDuPsbkSYbjsiPW$iyXI9
zew&I;Ld@`2qN91NaB}!Mi}O=0+=jy_B?pjh#S!%iDHsTdrYI!HjZr#HIhF^>rkU)F
zmoPDSk}|3~RfPyao%2dtZmXIW-PS^@(VD~MJBTe&0b}a@7(241Nt53^X=Kc5!kOWl
zMEngT@AjC-UH2t}X2pnE8*8_C9pzf{G&-;OPn_LU^gZ!kKf9+RqXA*wc>d&y@vY*u
z=NB7+sgQGRn6<z%^uCd}ch$J*F2Nru>ngY8dwPcC%jc!f(mclEnIhA%?Xf6p^uIP<
zy6~!Szl3(snM~zQt+G(Py}WnNPB>gA?f24wznkt?!~5;ZF)N9zkxurv+sh}nmsn8R
z->}q`o$QQcC);sd(EjwTr*YB6Ab0WPb^xvn_jn5BQj}vKcL|}wc>doiTJar@2gB05
zLXH<<DRn1m8;wGn{9Xw6>J08Xx(-^O%lkqx<Nx?3dnhyxywc_)Zr($Pm8|x19YF$m
zR24BTl%-Pd5Co7{G@|N%H2FNFLz04?q_8YX1&iDzqhtlsVq2N6^&{irM7y%Uy_I+*
zSpAg<`IN0)C@<WjQpSiG&ri)%D1vV3anjEWu+-6&j?(G8bE&KVEw`|ziOT`Iwdx{`
zx=k1sRlrJx+-8hQe{h)*V(6VLd)J`rt3Cel4Gm2WCH&W`Ck8NP#MgTr<uWvAbT%|T
zmPTz>9H)}ruBLJ+j(2@DH^%pe(%^@_K9$g8xcuDOPx;)c@cImKkWUr<6!FPe{DC6u
zVynVES)+fepemfPRhO>{Sy9fcm_mG%uch*09)0Ri$Sp3)Wrt5^DE{88HZry1FB5Ks
zR{VM)t@s^*5>GDuY7s_L3i21xsDOgJ!Qsi28#4yi=`B4(mvhmj5gjFI?MGVDu&n*P
zLUY<As`dU3HQFi@%$DuKj6}M{C|iBM$@_x!C-zo%cYCNb$vRx_uttX~P@?KG0r7Ar
zt8S$I&^5g(Sm5e#3LTJH&{3Pa96f}pr}0Z7+e|89_o587l_(d4`qM?|*K#A&u2K6Y
zL`cm=?z9IbFU$BFW*-FeQww6#TRRMg?_O~R;7()YjDQ9!%E!|n1vM7`72`c@dB_6Z
z|C>JzUyO0XjvXSEl!~%HLKz8U!BVUUHzv=}trhbNh*nS48#v1YTeY#6%7JcHEU0ZB
zXq@x19($_G7}*oa#f6ulJ2tLTxscv^TzFm1Iclhrye&XYf4sred<w&#jRab74mE>a
zs&edqnuAAVX=sv|_DK;x-IoB6<=B5aN3XIpw2Ggq?Wr)-vig(Cz|{iWIl^KccnDN~
zngBk<afeCz#m61^SH^J%c`9Jon$UOCJ_IycyFPs?i*1-uM>y`V*Gr6+)8PB%cJf6V
zw~K3Rl!VyMO4})DVFMzJG2WRGU3o^zqPG}brVk%~=;^k}JI>hS4|3L=*<LdTAfBF$
zQHjvEs8~<3hQAfYkxBNqpF-b?Z?u47vHGJLK?Tl1Bxn?}0PR%&SMj&jIfxB(vkG&F
zoP~jR^`J{v{_`-<{wIbYcge?}3yu*yZ6QZ0R@m`3!{ZH6*inFyEjokbG5VK`!m^9D
zb9d|zJhmmFpDru?VR#~?HFQwJsxL_z;$K!n(T>GmU=mrisn_N?rt;Up0W*%Nh@pxg
zXYjXlOvOl=_=gBC@0iL0o~_6+6}yCrB~^i3KG-f`;d2pfiLQYMRigbfFyMq#l4n)a
z{vU?|gdqo8ZSaShL*k2{#+1I0{>i(|PN9vnL2fg8&zCcURe6V&%ZCS~x5C>KNxGDR
z0gU6K2l5B|vwBM~t~u;#f~nW!=-VvOB-iI)<SRW2xk1nMlbqPLT_+8$6@Qz7Sgn-3
zPF$VsO97cpK_jzGzAY~*G<zkvo21Mzdx6s`qROOK&~!w)b}E@~HsLju5BdNbclQs@
z3UxA`l3=pcflRC>tC8usC!F(itDW<-pK<Ms9n7|RUU=wG5-Ne_WTA?&AwO>Ll0oy}
z%#eJT)}TI(ZcCut)L)CnhWhyuL(6Vv=qo8>b7BG+VBLuc&JLxl&>l)vlpk2MW{<-z
zNEO{au0Lg)Y1{mw^cf~t4sY8oGD<0L)Q;Cej=-<zj6Xp6q_QPHn%Ijb!s>D}NiRu(
zODX!)cbW?E<Alz!_@y3J!wX(!kjiCMLi-bFKPZE=d1^7G5O6&Au-FFiNQ5W3iA1d>
znW&kOsPStBj*}udw&fOO(Z8Az943p*R~57ft_zi~YEiH&DClHDKar84Y%-z6jCm=H
zJNeIjpO`%9PH$dqK1hFan?&3V;O|qBHvK_CkoOlMNbE8_rJ281pe&d+UDIjPrvg<F
z%8g|n(6IFlyc%5k7(w!@0;j)R1gAEWpAUro0wXjRlMCDzVRE9FVDfM)nUwwF9I(iw
zY^7CH)XOp;hf2!+vrHVaoe(;>LCV@Wx$(z5jr@kfx58tGGQw$WCna2r9mKZH0T+Tm
z3YE4Mesm8fU?K?vONcD&!fBV0NV}vPor7tYVyh)J;WDCx%hKoxmm*Q4B!oc+8Jxv4
zF8P=`GDJ!p<d1WnxX4yIUPp=vJ%cl1+>BrM-3+w{l`CQOG-D1D$2o5JYiILhWQyaa
zr@IEM>!2;@6vtD<DauS*P>GK@$7Ry!oD4rJI0ug!1BqSEOFguNwSaUv37710+Ubz-
zW7x2OEb$SYTM%8GA&8PM8$a=k&BPN?1`|pu<FI0Ff-Xjoc@|`TokWgVpJ#!|F*CSn
zh`Wg{BF6uvLJ1eABOP;u$$RX$w-7s4khlq^*~RP_<Xl_fJvEEZzH|s>W%fmPAuoVV
z3vfofG#?RXI#KV|SnQ(`CT_G40VnY~YE8vBe!zzhO8(&k94+Y3IpGs@D3Lpm35(D|
zjn)YqbQEch@Rt@^?Jg4kAPVXoIvN8tRl%|K=maG|HdSh&R6gwVAm4|9kt#Ih&_PKo
z8KaplaA#=<koa$ar@K9RxKi^17ez{@ZL*eu<&d$wdBE#1NVQnX8-jx6&2OBYR3M?P
z>7Z@*<l|@OY_^%Xq;N=XaUW$Z!#_P6#l6mumnNnNBT-U&ZjoQ3r6ENAm(M<tUkm|8
z>abLZ3rPhj_Geit1O<pK_MhSK+sbFuy|U1pWJcW+)M%^R3tP5~y32SEn^KM*5LzRU
z+?Hea`|Y`BW+xSGgo~S++V)naBVs72Nk#P54m{(#3%pqviR!-r$^G_&<kMLEV+>D_
zuT+xI5`P*_`5GgOk8uAm;>$2Aq{%=}rBZgY3kPoJKj~p48`50p|4p7l7W(O}hyF{_
zCSqui`Wl4rdm2oLUuVd&r$<}iGFvMTA-<t9Yls-wtgTa7TO1KRR$auQb2?rr4tI2%
zoIE!rZ@jdBdb+v*D=p$R)!A37%+2ATxj16JD|(cQ+0p)_SaK?~(QX|_-67N;GDlj3
z<yOMJC4~ftGb#Y3U7;Na+KGU*h-)9X2wuGlOQF%AgQsdV^fk4J%6hXEvPHQ(p4Xl=
zP%4MH$qJynd7#P2V)^SH@v}*hi_`u#$Z7P}<Fw~4AC-*4NtUx$@U;)OYa*XNsVD|!
z)7!rrt%n9O#`%UZ7Y*4sC-#>HvJV4jx+$`l(Tw3e9|-@tNoHgXd1^Y;<;w)~9+fwN
zdOx|=i#4y}Z3oW%f=PQlY7}g;pBf05db^hi6E_XB`VB0}aP0?T<PrxXEMYWSF0#?W
zuM9kln>&{YH)%m9e*p|uE`MEAxdgjZslczx(W^`aCQ~nGD)8eudX=fbDw3}@MZ!?a
zRA80kq%F@OQh{F%>WWn0SI{p`1?FEXm<rtE8+K21DzF%JgjC=wyi{O04e?JWBkxy@
zYUTaPN3PC(TX2<y^L~F!w>^XN#}p#G!sqKG`a}@Q<oLSJP1daYd`qJLcG3A!jgkVH
zz8^xPyqUi5&-pE7OB(vb?<2UpY{}Q-*(u4Elq68uk^&Y^=UXDMkf=B?Tk;l|c9G~O
zYAp;=)O+|2G=bwU5VT|Q?@OSS%nX`b6jC@FRtJ;gcQrZ8=J-*%Yh9iem21YY>rMWP
zdIkT4{+x$F#?C9%-f7O1j?<ZXI=;?_<L|6=r)!5=?Rh%7E~{-(4xcIkt_x#xjGX!t
zQR!0A65tGrQv$p+Q=|kqinkJ6<8pSY2Dn?Id{7PWD6<AQd2{JCz`yjJjB#V=CEwZe
zgs}K?PguC_Ua+S0-+4`gaz?p!G#>ALtl=6^7OLfg954lHNS}N85bmaislS4_U3x0*
z?LcTZdn;6JDxL2vT!RL7EiN5t7OH@_D+SCDy27~k!N9o$xuHA~%w8dJt<w_kMGhDP
z+;Q7TFuK*ji%3l~o#FdPnR(C|;=O`Dqa`X**3)!n@=nf#p@1EQ^6GQV7Pj}rB^A}m
z9L}IuPgbXUd|wvcSDSRcd<LazC?;4zfk-MfCv+zjj8i(63dgj2P1-*u-8hRnc9hxC
zt@S$5Op9yEG^^;x6qrK^xDuTlZd7o*-wY~iO(Ohr<^!r}96yh^Y%D%fgxPFrQ6{vZ
z*2?ef)QSKa%blGnHA4Ac!C(;S@m3U3P)A-M#mKQUM_~R@@djemkFc8yGdZOOg7^&Y
zaA_9!K~*^5m@+XRDi4A0MD{3(AvKN7Js$1v|J*8QE=@CBn}XmtRaa<HNmlBUc$KQL
zGP5c;Q9BhEdv^ITRcoaWZ@&jwZ`BgBHI@S(>yTHv$aR8Fur?0x(xEJp)OfXa&E)Q=
z{#&yUD}l#zlf{l!|9221bz5o?-ATp!l_%a{=`|jV-g?pM51(yxvNYV;2RqihPXpH!
zyJ(W@@EShUk;={93xfwH?UF~@TxOaN3q<g)VvMhuxoE=_Obk+VWASn3?(o!Pppqn4
z&Oqf<j$UP;QVDG3bO%9>WuS72q$i()ObdYIt6A_QU=)GM&(JRpRPwKt2~^%g$x!Sq
zLm-Y4s=RH8D;m|fnZe5BU1#k1egiv4`T{pemc4kYYFXZaE#2T{lANigK3ATG`%o`S
zmJNRbma)aYyMV&c)&Hg2o;_GMbrm*y$YgBU_e!qe55!~l{QD|>{2jkse12QwBrUue
zEF17GG=+XP5#7~9ZAC=!hdbE%ts&xNoO~C<WJ@QzEWp<VNGAAfHrB~>DN+_73c?yh
z%;jk6ASPE?fbrmf8ORYs6+zD6Zz<4imP-6J;t(&;{RKQ*kwEul8Ipv~0CQmg0S(7i
zzeIp#g}N<Ee)rwg1r#TTqc*dXytzXU9-+Iau8Q_I>c|WxFOJh_PjCT0>j=r!gBzOF
zl;rsun0?qIvuiVLvLR7RiEGRV=*)O54PWSW=1Rki^Xdcv+tq3NxITE<>_QZwL+1aJ
z`GYC)kOU{R^+HJ#(wI;LL?<asmd}`Y9776Y;$`%UjS2phVN6JHN4f8riy#SdjABmQ
zI)phPnV`1zP<N?91lR?R`W{NcXPYc}_h~gIL}Fb>T$U{Ukf~H$4q5>}$eMVYCj%s^
zDPIo<%thsEB=uSuJhwkj78u@dQo){g!}!CGJb(s^&FNaZ)s)*J`qPKq=i?6^nmBx5
z|J`)$5%SWw0&rUvgqrCtqS`hUhsxL*Rx`7<hUFty|GinR4`p(@%QbAgEa|pq5tWVg
z@&jiA`T9&IE7j97V+d3wd&L(n8Gl-nBF$#X(9|D5qmW#*&6uC$Z>{1}>lNF}85m&K
z@EZlK{L2OR)5C!K2?oJ4BX3vZth(J(ME@f=M$lT4BRSQl&Mk|T1}C0=y7T#y@K{4s
zo)RErtGXa<o{>us^%2g=K$LMc=b1a{e-2JMgXjLK7!gZXC`FRS*Fhr6ksKmEEmJBh
zHVS;<&i<)k$c7-f0C-4}?=GlR`iQ^T>p&r-@41VHy+Jf&Fu^V~La_T^QL;=0yA!Nm
z$#Q)w`PsoSf=nPsa+u&s#RM7pR>3jwI~NlVgrOXQAq4P4GQ@?x(a=Znjn)@x&dxJ;
zezU>(Wl(ym7^S<xF@ltqBRP~_O$L&hn)t(=(<{Q`4M8&j#*j2C8MCgBT5I^7nvDF*
zoz2^Vv&o>)j}@cP`+{QxDI`ZKMxmb%k2eH`1Q<mqH27PJPZ(=BelKZ8FFx^FJX?|Y
zgkQE$n)xa^Az)!&_;pfYrzYZA(TP3C!^839F2WNyvLfzD8IK-B;c1Rc(CK5^*;BV=
z%j>LR7!_}*894r5MCh^j4}<jf!Uyc^|0pAyC-_C#IAqjX&c4D2oc$Dv<#YDGfgy#n
z|4sVE&OZOja`pwdqd5D|rh6x6M)C7+D(L6)fSLOR!ZND`g7I4|_gMhXseTjeDD*q9
zYvg#sca?u>PT?ri1y_db!m!&~(ruHsp4Q+*wK-RBRz++=WHRw?__&-t2PKTV3e}8@
z0tL>58Za^C{&&V5>wmW;ah|!DeTK$Pn#G-=M6N=k(4w=wm906yC7EhS6<<zpc`|hk
zo~?*Xz0hY^9qbigu(Vl65M>2>%a%NS_Fa671n$j2B99WN9loss518^I+g6Fxs6LPD
zEa*}x+|yz5cSi0<Q#!t%U>}R0E2oei{YjCwXZVU?y4<VjV$t9)IY|o%Clyt?ij!b$
zL=!<21#kff{+i_Vh%3Snj(>pe>zpi6!K>EsYP*f2n^B$fpcf-f#6qQ6(wMuZiP$*U
zhd-+e2;J?Ps&-FQtId)iv^c?ua2|g{DP7_@<&WY1(JtqZHIKLGLQglRc&dth0ZQIM
zHdwulJ4a1k8No^&IOV2p8fMBSu#pVc9$fXk9#^^h3F{<QwJFO;Hsi8<pYpnJ!;&6j
zs<c=dmv<3X6U9uAiTFDQWP->VGXB%_!;tkxg6yqlE(4i)CTB8~1F4v^uJWr!qGQ@V
zmCyFsZUfoov`=-EU=W$5sY0uxRxqOdbz0wxv`ff2pDblW)gNK-I|9pyu~HeSek3xG
zr-wEybRaG0iTcRaHrB=Ddx{QjF;MZgAnQ9liVPt(-sg3ZOKi}%EH<8{QBv&`$D3BJ
z$!PtgU?Mjstw&?SNh_cA`eY$|ZxT0zeUch&l?Gi#JrhfFzs9nAsY=5^SptC+^bx+;
z>tWh}(|NG;T$M?nMNzUok{Vm8-0H~%ROlj;pizf9<#sT!L3_FoRP_;|rZoP*3$-}h
z+8mB8t)k`@%w}1z{`kY(D6=zC51>_QM(P*vf|)n9Pzt@ZQ<LDMZ?f@cVDp}XkNmdo
zay)<1LaWZA+-N;Cee=A(;enECY5Fh#{-<XX+Kd?dYWe53E^^U4?A-1cnLmvX8ojR+
zJPi^=WAX1XKZX$?b4W=J<jf)cjU2to98x9zluHu?S*3lf)6ALXXXc9p-3BHQk)UVM
zFOCH9uZ&2L44Vvl@6~-AC776Px8^5MOn0_EH%dh4j$tA~_TVE#hpzRVZM)yHm|K64
z=%T*)E3-Z2jb0WkiXI6r*KqLYdvx36y=QLl$j0CjM@_8Tu+|Ec`Y|Nuu?ZhJkGCZ1
zPZy&Njg<mHqZ%6J4I0hl{FZ`7hD7l+!Q};w?#Htg2^w7<;$s~^5+HG);t)ZXCxCRz
zofPpE@gt5Fpnfq28*oi&T~;8aQlX7HoC85!*!$C6adHMqbD!S<mkiF=g{E};27-4i
zew_qcN!XyUCqL&bS}9DI*J`>LGxX?coRGhB5huC1y4Fs3PzWX=qfAsmZ!`pTCRr*;
zq4k2REi>@y$Mn5KJ4+{O_32t9d^pgMvpiAS6(<34X^}Yar|8UGh#WImq0(^^q^2V3
zko$-l&5C>OCF$``7pJXY{KCy6+ZAymlpdy-6h*3p1KDU*=rmzfgryWiiTmzRnYPye
zBr48j%~c-80#98%7#o&Bmgj5m);m4ka*fU_!st~BAaaQCl_!4OBEwgn_=(5-?49>{
zg9aH|1)B&`HoTvdT#%oty!cKHUClbrL0P@hliw^nCos^dnNbl=?dPYUHOMiUcMvm(
zn2eDFr@)gg#DmI{rbb((mK*FzACU3^PW0W-4x}kaPN-9xHvKA{PHP%5YRC$yVIb{T
zB&D9lR91m>f7PFwp@ip~dy2N_o1j&?=ZhBs&(|9a0_(O>CatG3S~uiVd5{faN%&Me
z)38)hJ{5l&>{8t&{2MuXl|GeP2ukCJ`<JQo%DT}EIz$1nORrKs)fW22J{A938K3IA
z#U4sjF6IqMVYz)Nxv^NoaT;#~&&fXI#-Q^OrqgYM4!NxsBa0n&@rUMcUaY%;Z##12
za$nd-x?Z<U-f~9zNMiEd{`zGZ$YZO*KGe2Wd?>69%Tcl)!%>odx@f&eqo#nPbSE0+
zb(FrFzqRtThdP4yq9B;TEU)Ja01RFR9>Hq_2g}Gf5W{2(B0J-t4=2MP!TW(AtU<&)
z;Ugy35xmz22h2c@7^(<z27gPQwOQEl?F5(SSzm`|E8<yiwmfTIyDGU&K*3I1St2Sm
zxy{bTxK8bB;bI)rSfQOT<!d!sbEvW0s2{JIoVIet=WJO!4fINnf01Ari+^5%q|~M>
zL%mIGc9hR(ami@@m`1bljgxO50TNXLf^v%ID@crJ!OG<17nx32uAZb)+2qOAvGc-t
z47dg3cnfDC;h&-qNV~GIpe#~uN^UE*W~{uKwsdS!ExXlgPa{_Y1xY4x*#IRpPjseR
z3v}<+_VGxjQ{bd!YaZD&((|<eqO(=gjou7K<Q`ON_#~bqJc43&R3K#relxN;W^_V`
zez{X>hb_r!!hz-Riod}HpYpiCb!l_%R)5~>B*;q2MWvD1LOyYtXkww`w1F^?0;mb%
zagK^3Z1!H5>9C3Pm62$&w=jR2;gca655&Xyga^(43I`jlhXw$i|2IdP|CaO>X2wXe
zz8E-@Tp32|uMQcwo^bA4Q5y~PJ1vl%$0=}Tt67y2@<~Ff2tOE6n{q?4C4Fy%FrC!*
z8*iWF4N@5@lmRmxdW5<|K1f}ZL@2{4J`W#S6W~7q__ZE(T%one9!_ye$$(%wWJcNL
zb(Twb5d<u}HrewrJtyw-fiQ2-s89f}6JbI>8hFP@&~8?uRv}tj1xeql6qs`}$T~E>
zicu8Cro0zb@e-VI!C{nuZYqoIC#wqjEiK{DD0Y!=2#rYf3CL~|X^7przO@7lb$O^O
zi+thlFuMtl4lWDk)SET0lQ6R6%?UIzv))#jVwo{zL)rl!rpzWcp(&+DQ4hB5d3^=q
z%JKS?XXjhblF~z!HVzO|HnC!U`;ndpuht(bgfbb4`~hmTReA*(k;wRJ3nmQ3)latd
zJu_^1^n2EvbB=JMMdA-~aO7<eEE8ypYd59t?C$oEFRc@J<Tsu164_*eNf%ljb+?P`
zQC;mq3Aadv<IDO`&#r@<Ae^;FJ-bE~H@WPBpr@Q5zI2u@TS3xLqdr~lA{S3o!=svc
z>_DKt9^c1Tqq|_K=-wF{``EYl#(h!wz~RFW9^QT9_UMtO$b^CbsKZD`P?&7-afKkn
zlgI>?c#x9>CiI0IblWY719kHZ-wr}$kLmIn_a2?`GZ-f~11FE}KYZxmp?i1Vusyo7
z(V9LMy|{<_A5pXuyRQ@oZ-E0V(Nv?-JO)3pS-mal8RYd4N+<M<AL`9NgmRtjHe4Wx
z%7+%w5c%McjFmPVnMRLY7KPEdDi;Ao$DLA_6WYMJrTggGpJ=|)IYt_#LV-o%)E1q>
znr=Z_Pm@DJ=^wHmw7H+^Si@m~TT8mF8<mBMW75gfHc~%rFNyns_y`Vqm~Gj8@i6F6
zHpG%}uRJo4)T+~*sXj*=j^x+TVnNFX>L&pn6}hQ*$b;h-SRoy*2B{_jUyt{!vF=n$
z>}4V!k0uh;fB=CI>mDZ9D;(V<#H!1iXg9W6ZzH!_bU#(a8m!|3d_3;~BKJ1Izcp|*
zDZTkhvq!nLfSTmR!&tsEocS$*W{EJ1{9E2Z1?Y3tCWu4m7dRB4qp~0OaS*3A=J1+k
z&3h;0xwcTX6<%m(5pLu>1jqC-l()o=O8r<hI&#kg4<6Zxf9|h$Q3>|QJ>xN!T(yha
zo+Q2XHK43{#c;wcg@4V;Sg;KME?I((R;|APWniQ1<}j*YrP{v{Ll|w%is9Y46@$Hh
z^HCVIsrxr?M|Z4cQ!^LotsQ?hS|Rz_gT!RZpa>?#G$%E84N?WV0o_1eP#Lh|C5!tx
z%LTq6&ocH&)`o|A-|&)HQ<j9{9oLHZRj-p=h8K;@EU`T|Nh~B3XtZ3j{OyrudDAdP
zg*D;f+NaDtw=qgpmDS3G$@HmJrhtPm=&WV>sAoUu#WSJ>p%>C-ZvYE3eXjubS3Oz{
z#n#{SI?2V>G%~aG9m+%;)_St0IC@_xILXZj=cDmo^0dMjknX4A85Id1=n5ov=d__T
zSEX4|LPQxiclkOcLB1^~h!)XuHvxLbu5mTsQ2ctW*GZUK(*LEAnO`r3snc(pTJy>H
zAO-r|oV6K^FJl10u*yq5pTeIyx2+~O6|kKZ|A@2}BfjDTggJ6iLFwxYbZB9xP%}*X
zUK*0C=84VWp(y^K*GU+QlHxQnQ#|cln-5lQQeK2P-NikJfe4WD;eMA!#_`w+kv<Ks
z?BPVrET={hS-3U6R9LYwh;=URpMb?7X>WnF7ke~x8R02u7*N*O#r+<i8IR5Qmw26r
zX(JhgAYul&asaB$V9CHw2hMc8BAl9Cx~=&mBh6^7<O*%SChAEFe7Sl5Vl<v-q=oSt
z;QeQb*-w!FIhoV{RtW18XCERQal~!cxyEQqHrZn+EL(2BAt&?B&kTd<4>KA_Vdk8K
z88m+rpqs`SS$uxV>m*D)xjOU=)5NC_R&Ex03g+}d#$6bQ01N$6;V_J5pi+)N%p^x*
zM12Gmi^2BOvIJv%DSft2g_ObG!sM`)!VrzYK!4%!v#UyS3fQlCorL*OE(#i%RmL;M
z^YD^2)0_<k&TgILPbJr6Dx4PdEYenA>q?DcbIYtW5ypFIQZE+;oXJUZ;k#@k`0ib<
z)u@3=maWSa`sJ35m!k2XjwT!L9xm9c1f&S}`ci87Iwg7W%;7+^meR020KNM>#v4j<
z+~swWYjx4cEIHOnBpc>aPg3B^%{xy;<7e^^VQ2z+_1!BT<X3DqTA1JXv&q>4GVy(7
z#nEdmky9`j7;e^E2t%!=me)y`f2AI#k$E-UIy^6#1vo+{DOkw8W}lA6Q$^QocJImB
zsUEgayGzNcU34-xz6xmwIydG%ib1K6<$wwWNZTEY-<Bg1Dy7Mr`BNue)fYKGAvQR1
zObdlLRn~&Nuh*XIQE|A=c=P~vnB_4pmGyw#`UY)O&(%;W3_FPUKT5;3l3;i01RkX3
zc3L<nTA9LGPvJ9qJA>Bo0W8c^3+jEjxiZ(j;CmFmrtS;UTieM4P|Z_}C9@b#^~hi~
zfBxA#E;0(o;&<m?HaVE{=%1f=&N<3>rK}ta`Tcv%%gdi4od>xOtrL_X-ddnNcBJa`
zjmsGj$PTZzv6W9bJbbwy+U$$&Y_%Fy)bNwZ7&5&8xhgVAV@ke9CI|2MH|NgWjFlTH
zV`Wel4^BD29~b$0l$uBKU>+Edi34;kCnJ;3iQ_;7Qr^$tB%K?dxok-~lv-o>fy2q1
zZo|jvfiit6gs_I%D)Ov<w{i@L8<i4g=BOP=93w!An3Mm6+z%id8-2I|mF`KU9;r>q
zWRFnhhS*G}ddl<x@@0^>f?N@i08>VRNdeeQoeDe5S4*7mqY`8|$JF#!!6$97{Xz@O
ziv>c%0kZMxIMo%Z(@u`*L2PM=aX3wdzNS_(*(AN#mGM$#s)%`@#Ui`azvId2Y*Qtd
zQuusODbQO-DVQz4KRGMplem@?*q<~UnO{P&6H0dTd(Mi<TDJFD0x<OMpLs0i+V40!
zBn7E1g|=QjG1KLR@wZ+_*$ad0Qfb4}=xoE^G!%d6rI`%ZK4t!c><*P@e&3a7tk&nC
zl#yrJ%4(A2F3w>MR#%$;H`(nC-V^sZ04hDh6&Nlx*NUN4WG?M^^d(*gxu{5^G8M1Q
zH7i54eBY<cD>s#{LF07{UU()lpF<Hekk8?`I7fFPQ)rSjj3wX#Dwhd>Gkm_%6<z4$
zu;JD2q|m#Q0mUmmnM5I_Q?GhUUR?3$_5T-tLzphkR_9v5JbG0VHyRnivibI5R`soF
zRc|x0Ig7RV(6AXadB)%-sCTo3#Yv;sCXOqya-N2H$m=A$)}`*z^SjVrjn+i^-wlL0
z2R)`og7>avkQ3Gvm!-RbSjo8~cYGwwj0MD=HRIrC181^M3Q)D+*6^Y*-Sdij^+@yR
zofhG2rjVQ_08((DThm{Q#y11&p@Jf0dCGX@4Ff)nmtdO4ZzTJ)FN{h<DN7+w81=W<
z$_)!8CyW}Lw20}B#c#|JoR!s+=oH%kKvngmmy0;=z@vBT4p+Oqc2l3b(|>F0j@QBG
z3#|ir=<c_u(SSpD)(+6s`_*Y0#2wsYbL!ZUTB~_J)e}had<|Cka*;W5T>TFRFdwm;
zBpu<R5b46aBMV=tgO|$A4L6d7uT&)xO`0JJUzM&?g|9Z!FD`t=zgDL3)xC%<;Y>|+
zf-jjXT>lCu0Z}BqyNC){&nj90%N}@yQdm#5OT@T+a@O0E7g$+u8x+7Wt?(9+6YGiQ
zYhIYw0{yn#l`WlQ#i97q7zx}S>4wQqpN0_fXk_5hSTEOibDr<8hr*fn)WzG4dirUF
zuEO=h4C>+=s2i`$&={VrNSUE*9)h5$Rk5B0I9v#4tDGQW8gJ-32IJKm!qHf|ubU1i
zJAq~9Q$8u^)Ei3soIM9Y2Gu|#JU&FQjK%j$kd(B_=2e;x73Mt)Ig^opP$S>cZ*NkS
znyN4E)p5!eJERnN7uOAqGX*9VS~$GDIPUQC<Ty@1<FI$9<ewEq?1}DMk;Q)T7g4W+
zAUclfI{k{IM@?nEqe)ivmAk5tF<a8%v&_k?FF@NDc(ir>zpDpNQmxvE6Ve0dFz~Pd
zobd(@GL?!~60{uYdggGrH83Q@_An4<=i4~bVcU%sdJGhdi4!AXVvIBKGFU_}<s|r7
z%AA5039a$?`2@D8D3i8qj&6eV;z?sytJiH&p=gS{BCi0asfpw3dY4LWW69Mc=7N%4
zRLmM@ud!4*oZ;OQ1q9F^4j|K#!KryZvD>2kFj<+#>4etPi7GBY!xk@=8UAmEu3(Y7
zVpJDfux&KmKxJC$LK1Icf?%DPzyj>Fs0cP1Qo2Kli!ku9a_j>0G|&gl2(7Ufrta6H
z4KK7pMX?i2vFT>k>qpN%tQd|>&PM3L-#_XtGFQ%B=#yPZwF|_uRqSB!z$^DHUZ=Ta
z7(v1^?77RxTV|mzXRj%E%PkkEkWiXjNIoywzcmZ*kS;-@D)P}ZRufVNumn*}hLSIA
zn}il-tv*NT2D<VCYTcvxq^oghh0me_eRuCOsgA>x`b|6HP2@JUQHBxa_onKNdUtU=
zI)XCwQikxZI;uQiZ{1vq2C1TYuzLeEogUTMhx|}=51@zdU(SgcPFv=FL6(ntZ0oLt
z%^ptGQV5#mzwC9HYb6jIyb}0w$}~)`DBaAOIX&a2P$Kv0+T^URl<G}`i#O?rk#tq{
z-x@D0<GxskvND47`_xFgH6U`lHBgT!c{&!NNsAF)wy*-^c{7y%(w|r!i*#tlt;G`T
zYApWiBD3LG(O)o=hWS~>ifGn3V@1E4qgNR#QbJUDUqK#G7f&fKQWGI7R<vG)ES9Qv
zZNm7Ga}gf8beoD6ZJ}SHOgjBqnP|~HN|@6Y+9<b9-8N*Dg17E!YY%moD&)!T!Xo>g
z&ERC~>~!cl@*OF$BA$xa6yC{+Q@0<21=@e@)FylGO60l^-F3Mebg%()IW!yyxn8$T
z-gO#cNXMuI)p(~pJ)U(_xr+?1p!!99=wy5?TPbyooU{m2MrG_f(I~X@;gk*MZ>>`5
z8;D7mFXTk5BIkl7MKEzS|KYO1i-v*r`3yn)udA)t<*M5i*Ws5tMk6>zusFFK>5?_p
zNULcDsKLY^?szW=k9Q?HtJuOSxkTm`PITrg?Jk#A>ny#RqWBl%TdZOMMz-YaC(qz-
zxp29LG`^jFdJ)Cz@N7jQikD?b8hsm>fJPKBmoN?tC|-G&(7fbdE7zJhPVVk#RXp%J
zP0je-G&XL_ksv4)=E^FYlq!ID7Ko)ct~v)14*Z88$SO?oCk&ofzL@6E7QtvNt+J0&
zBkb$ZKUXYQG0o&!A&x0${|J|hBhO1+eCuogdPhK1(FJLLsy{XNu=)AhxhHDp`@RjW
zQj5d=7GAK+k$MP(-r719PTkW3bJCCozXEIc{bman!T)3NXBf`lI#E06pW;uQv^Zdn
zG=|AmzM9u@VG0R_Bk7Z-eZK7>EF0il)cF=q1z1m|4!vCo>iGQ*rp`YwoY|8l%_9>E
z1a*R4s)T}1<mmPCb-)2Uc>Xlp>pJo2PxGhC<__Lac8L&1f)qTvsnGzzV{z+!WFU|f
zLHSo9QOf-yWoHS8cyY1;F(DNOmeR-C43mcq;`jFLq{Sbw9wpDsH)8Gq%kf9-?w^sX
zdu0;k{8~$&_#r~?SbV4uX+8`9L6Z-GJ)jJz8uW9~9!A2iTafn&l52CL0IN9P$7UWC
zF^`EN^Wd!rIf)IJ#0z;6VXpi*O<m15yolc4hoyUS4DcQ?z+D9=G8W&FqjM<&Xien|
zHV6?Ao~R5qC?iH$YT-sIF@<=DedIJNINvST@5FS(E!Xd&UmR-SUn>)8IHWvGAv;99
zuTeq{cMTbGu*V-EO=V|_LtuAZW+P3OHIrVZ$-{U`8a9+TN`I+WEn8{71e)2Z*<F9(
zV8qYqw#oa>=wO76&%VpAH(Cf5n0t#(bLoF)9Q^)wTN3A)i|GHRkyRi#@i{cg8=Uw|
z&Tq;4HI$2=B)B~9_ak_=BHr(n1DIWV!2&Aw&VGgf%yTF9HthvlJItb*xt(UCz2V&7
zYeL5VM6is--;y9HS?eyEG_UxqS|5z|f6!>R?7Ls#&3Jk4l{emali$f<;yc7C%?5jL
zTyq|0a>%g5Ei+WUU2MfKETCfg3_ig=5e}nrw{6PO!C_VLEzz*SMc;Xx2CA!LTd>OM
zH(W(s)TEPNBS!(-denwjv%DQ!-$y|Ax@o%qmqC-@eTp-88ipO$ZD)2|L;qNj?t$zW
zucj6v1H{ldWiM*EZxVT05lB_=V+%FfDg{+W@WbNKzqI5zg*G0pRgh>W?gJ@X*MguX
zKdwgDPTmS`v=YGr{&r^xk2>9UZyI^poT4X$2)FG-yS>lBao`oY7p_#!V`G;rfRG)7
zh@H4_t{SngK^v#D?J73NaEVTnZc6Cv1gqng0Nl<FImX{J?1G`a(2S#jr2p?c)7-=A
ze>^uq>@dLBARAJHG&|5;c94eN+I$K};~EPYQ3iEPOgrD_5YYZe?mqd2bg!93aGmOP
zf&1JH%(yz>fgfCED(}sQ1arP>AcL8K^L)Hg^F6vu^L@!_Tp^m<lhX-B3Wb918E;>2
z<FyoKGU-v0gv{wtUc#R)TTtnVLOddaN{>^c`~v+hoKkVttLCRZL7nlPmFjcue*1De
z`U}K)oi~eR5f^XuIt^1&9<B5tfw*{j_H->d5&CMSX82RfG(+o-L^~nGd7Ltb!At11
z05Ie}QM6YsA>zqGODH&cEQ2!2xKfTnxRDIX{EYT4(wwt=L76|sbVN|*EA)$lGW=_0
zf-;BwFhqT>St09bl)%irBL-#^3?l?*ZVLFTs(TfnQGfSmh&(k5J1S6<{ejkBY=QhA
z(9$-bT#*tE*8HPxoBY&S5v)=8><idzmIl80fVRv`&?f!83EZT=-;(q_caeYbju7%Q
zvP&*NqmTr$(-%rPzoh_<p=P{+;PL`EUk9;QB!F{Gjs>BEI07<`CVWG3-@sIc12Txi
zzPyOrsjZ}rBDiyEDx$Lh@Qj+q`!`3YmZ>+*2=T3i?6LT}=$|4U_u04Rm~1!6dBUgD
zThd2ghCLD-kD`m}Dl&0EcyTShG85G%)l<49P&`CZI4+Td8yiivx-}7=DbZmNaSV=b
z8*I}#6OfS{V6}ZHBSSLagmWFO6S5K-;yx{P-=xX}@9#?#IitfP_1Re}WrrGfbU&gA
z6mgsJ(mgb2b5TZ|I9N5)s&<;&kYKD%hM*NCsrQ=G1m{jZ(ltxBsGexGkBQ=Lvj7nc
ziCZE89ZtWPEO$EujiV_vb&6}1aCimT?dTfeF)M5-rovGz4v49^mH=0718h0E<KGb}
z5S1H|7{**aTK;#0xKVkSJfwR(f#-TiTlB#Lhs~9FlV>05L2m%pwDCgfD!4*Wak%M@
zkyn%!@yY0YrQj=Q`14Nq0YZQX$r`D93PQ5YLWq|h{4r{@Rhk}yL$WXREH)0y;-DRF
zXqI6())YADQ$?I}#tpujFG@m};40LaYG=A#pQ5vRC~*m4T8FQoWF#pNy?c-vB<-{G
zWT3R~x#kKszh9XfRd%rS2DC~ImVQ58WCu&>t!-i;5>R{iRN+j|`xK6eRpZZj(5e}W
zzmIVk78cUOC!Wpe;n(=nWebx1v`5M?xN?bokQ(J*VlNqjH>7Qb{e_aXplYoXX8A-X
zTD=C2?6xb-4w-2DMsKU}vKA|BV4~J&0FDBmD4pjec0Fqpd@02?S|@su#h)WukH!DB
z5TD32FsU~#MEg&p{h&0kXN`hMJ@1h^G4uW-G4C%GnYXPhY0_WdNr#t|OdAvU2?~{1
zrj1!x{mmQ$$h5JK7o5mg{Hr-Sm-34Q!ZORRwTCNp9E4S5Rex#%vDUljdRGyJQ7xs{
z1=J|N^xA&}#ZV5k+tA$Du{|hjTu&H}U%QVLBoH)r8Jj@LFsbHipHZnh03A^w_fGQ-
zdK5Kd>xnz*?S&@2TO{mWhen}bPqLw1ot;5Fg?e)-Id@@kDcOhz)swjKe!AXWdUdi6
ze^ObPrR2Qo$>}BjzKe?DxRxTm9-RlxirSM{4OcS=uoY7Cu<5O5Q`|HZvNf`j;o3_`
zZCHZKk~hSz9DrUcnosOkXsrZCSJ8ZBmlulWtH_sL4gKdi<L?Hz$yyQRNIT6*??p6!
zo_=vOpMR}PG#{rqd(G~|LIuH%&L|Q5;-@*yxFbaEpXLN9O_$~V&^*p*n)ga7xDPe2
zvo!n<Ab`!bt~3mX;9sHJp0S5FZDe?dH_w&mt6ljxu0XyDA@^(Wzh~fo+wi~b_}}BT
zm(eL0icg!V#!ED7FFyS^o~=lH+C5%p&4vJ@dR+n<4sL$GB*(y*^euN0ld$RAZFN!M
z0tG3i==8#@yfj1<xoLICA0^MzDf9$kJbVY5`Qi@}v}5u6CD2L+x%_97gJw(>z0TAF
zc@}XH_n>olKWPXu)Hys|2SK{?`frUzUc$dt1cfRI?N_LgW*;)MgLM%u+Aj*CAjJ%!
zZ%kDfDBy*ZHyXUOm%z(!7Xg@6<>$~MWQka+k|vf@RsJG>I@m2%cBCYO`cqGnsqnW&
zCZ(wG*VHIK6<+kbN~34&N=`#nS*3Lj?l0mh7EV$vMfeX}xuSLz7l`2-T;x)w`-5mR
zfWF72E_EcYs_Rg~HfPCzpwx@~$i>OpotR$UZKYURo#&xZh}QY7&Uio2>lmHu(YI}M
zz6T#Tu`D(^{|!&G16lOeo)p%=5uXwq+b={5-NH~q<1%^3?_W}G1WJ#^{yc&vBd@}L
zX1oL?v`RlA#xAr9gQF{hRS8t3EW(Xs`pNfedZnpuPCtpqz!xEdmEH@3^&tIXgOz`+
zjKTVBv0YX!mM}uwhpI^JO~smuVu_h1YVwn(A;V(08L*L8alPhpZB{)<F0^cE#xhH>
zay)GH+-dNGEe*0)hcqWu_1p>F@NC1bIjyzEV31sN@s}1`tQOmPnrX*`!v2LpQT$@+
z#xuIV7tdD2=<eqcWo-*E*tmP4oY+8X`^qD*pv8iQfvq=k`i$y<-)Y3gKSE=V#jlYd
zC~=t0d(w7}UqCH{ar!C^ze$BiKFCK&kQFev!0ho#yIz@U$b#CVRhU)zWQ-+b697r2
zevILs5b>cZ4@~wLT?&>}R8}J_^9vyHEgllxo#1O^IYx#?)z<Z<uI!+zM1{t{r)I;R
z*T%cOp@Z~Od&C4U8z;k-jWt*qwugaOyHsM$rK`fzB?3>*OAj+YI}&DgWN{E5gmQVv
zV56MXs-N%rxh80dklU)3-g!WtS$e@{s)Cx5H0UHn3|jfK!3t`>50nZM<`3u>n=t$<
z!-SClBf3``SK1R?OR0%j0h44M5|Y|=1mJ01z96~BUJ9d>+%Fn;v&YRgYCd$97&TJt
z$h^^jZDR+ETojO?9NNVBdhW&OnK*x|8zyHbu8pO$sSlsfJMKd*Nm#b8+7+@3!*-9s
zTYL_6<Jmob0kp1&-IK{b%KQ<~u=(@XlC}fQpPk115vA!-3A@vpt|PyNQU;Mc$!Umu
zG*$<diZ#-hk1r>5jm1w7B0nXl82=SbM;Jzz$;J?TI!83QO&LafTv42l<kO20oxKxf
z1i7~Ugf0s_{t#E<pHy3UTau?`c4E|D=p)Rm?9I%zR<0TdjMBkZ4uIMK#N52s8#b4v
zLa?%>vdTII6F+ttlgOV)P!qBOl_VksYDg4prWB~+RVdJu^^{kE9>#Qp0)3c%u>$2^
zSqfADJc<I{KeO1Z%%f8D2$6ti7WJdWklAYUbR7L3b`FE00T<iR05$QEl;wQxmEtMO
zx^8${ijRzhVWTJ4Nsd)=M*pp4G|Q9k(~~V86)=d3UrOD0+Ho4sRzy3d@rqK60uWY=
zvvO*wiqX<2cRp%eTQ3SjP+q@U@YM>oT6VRXjm7P^@dfJ$<x}hci6i1Df2*yv<#KeT
z=@b7LO#qk5$$8`tE>x+7(4nu_NC;~R8KPA<gMdyUX<h;SK@2Jc^iR<*7SQ}FOF#>N
zM-kA^!OlsgQGZEwg3D`+l3Q?l!4>F^oGq^Z<7x162A5U#p&ulu$1FkZwoOTbxWN5F
z$s+%;W_cD#pO!3}&hKG^{S&%vau%Wc4a%)g3Z+7r$;SVK=IzPfU&XT(k-v5pj7MN4
zh6Ow<hCePzk}8Jn%gb)LM=oJ;_Z3Ux4qeTG{QC+n25CpV1uRWUg%DD@FBxL!4m1PC
ze?!pXP5=pXIuEA#Ex$%Bgv|X5J!4DDe3)Ghb;gUUv!Lcsr#Hpd48a3~TB*p1sWV(u
zm5A;f!dpf_Nh3ggsZbCd?5ZwX$E)pjeP#wXq2Q>Pq7R)xD^+G@>U6>ki6#PrHgYR6
z4lb~4iW;4LfE#N5A3@FkZ&+%Qi<3&t$6RW1At{eoYFj}#rvl%6Q`A%yq(L>RE(%o5
zl=##j$l0pQfXwr)nQB9u6DvH5!PACu=K6K?Pu?s6b_FHZ)5SgpPq|z{B^F?5qzEs|
z(g<WPUIBQ8opB}oVmpI>W!V`5+)?a|`-ol>u>EH1b3+&z;!ZJ<kBJ*h_Z2lY%;1@J
zhOpy9cT!wot8mj}S<FhNGP*&^O$@j^EvwYH`%rTeEAd-$vy$h1-J}~P?>sXNCWA2<
z2sTdFMvFTXmYioUlJ3=WE$)07JjM4=H*B{VLt?EUrU1fJFmN85!UfLbEs6Tmh4!%^
zv>9azz88%`IYg5BwKqe8Jd*QUN&`)szL7ieZgjOGw$GOIwWBH%oE1FFX4zgz&4FfF
zbXU6y6AU*%NTY!@Rvnic3KrAaYVe1epW+{+(Z}LfN+5EZS!WM^pV0WVjKJSvvq6ec
z1Q{rf(5}K@!-0OJBuwHwhSV*SJ8{e90&VNl3sDHLi%`8v1m>Gzg;BxukP!)JrP55D
z%Lr83xXlh`Aypfo+L)-3*_=Ulq7i7<tm3=lxb&`67Ozk>b1^zp?NZf&?K{z?t!)_l
zi^&e4l!oV|&Q;u!ToIm}31koa5}fgRk2Box`X(DwO3;=J_RLtUjNayT77m5Tf>{Is
z2hHDl=90q9GdYu?97xae9iCDI-DokInJH8BLnBf2TyU+HMG5_t0-@0+WQ?Y{e6J%Q
z#KC&A+E2m3`p*@b{3daP?6cHptF#pcAFRJq2zNR(w?BGlv0Fp^6eC!Wps~0hukMB9
zQDssfsmvM_dci9qsw@kYz%8v5O$;XPS8~tK&LDmqt(**EmB#!>c)<%f_2e48wS6A!
zCf_pjjP*Q5=mV_i!!(E$$KwCVa}3KhdD@d0A!kDHr}@*tY5Dp%ge0r}TjPW2dckfN
z)nRZY-)^Kv`T6#u{ZhfH+PT_1NqM8e!|{mzW@GV{MF8f+?90(2WbPt9rV_JhVuk1s
z<N}qLtpt&>sKSk8)L+?x8qe^M-G*gxsx;t>AH;NoFaBKm#lATI%J9Xdn>uVp({oAC
zP}cp-@Xok)!=GKy4fn?$!580Z`4fJ(DFO8h{cn`6?0=z|o7dhnh+>O5ckP9P>Jz$c
z@}4u&CGSUy=M5JMtDEV@FQ%D$VfE+Z*^0Q9_RdP*j8tG<K*S#03nf_wdT=)!uA*Wl
zDx_5`6|ORV%q6>Ab3+tR(?av698Ecw(`l?(FMc(_I2Qkq1XW2Tm-|v|tFwpEm=r&t
zNntsAZ@2xSwkClztjL&x|A*piRH$8DKQOgeniNvaiX^GP+$06`r`a2is2m(e?>kYs
zIzBfZJx^wV(@l*trTbg0W4(n4*P1t~s6^kaRw=p+_m2ET_5h`M26N|`!@+4;(8Kls
z&Ull@8Lpo<7C?rQd{4{7mw}K);5)pbf=sBAya_%w9v@g<<m)ApEOW;xICWKd%4&<>
zNT?B>Od2a6y%I(3?p&nviIrZX%jwxN`h)VAjYaw`YA_OeS)xENxaPUi30%{`N99=h
zAUrV}Ew*~wa2LXfHg={&(XAeKM&_kCCKiYcK#AR|dK2Xxqh7Pu>0ux1L}hU&^#QrX
z^@QZ^7u7vPd__iDux#clC@R^ZTNn5RcU8g{l?FPW!3=l|<U!W3IddOfMjTbT-Rk@T
z;#_D>+cSJ>^EjRR#1<LcA>OMg(Hj7+B<9hpRuol`wcioQ((E7q60zP`{0l`ECvQDT
zo~5lP!?P*g_p-S!zf}Z8b*}g`)Ck7~=%1|nRV|(Ito^K_)q+ydK6^>^C+#{C9Rhu{
zPBdvo><4uD!y*`C|LKcpk<))7%=&JMC);9q-{q%r^eXGBD^^mLN>FyHv{q$_X+jU-
zKdsxN{HOKwi~T45wKD$GJ!D}rTTN8DLu_Pf->K+{5PRGa{3g3xwB2R7i5+xIY^HiL
zr6!C0rLrG3IS)1Wv&nE3NHMI}v{kn~Lknd%^Y-@-O9qbuQDzUZ@0Hm{?0dB(u^+j}
zy+tD^ZTB-{Kk+6s3JC~%KXFgaZ)rc#P%GX|aCuJOQ}Jv?oId-cheHtM@Cj(x%Xm5g
zhV+bq4&SZt+Hm^oxKrS{%U9u+>0T<_^(5^pxF3~hu6`Uw4-s5hG06x$Xd=fG1n*e<
zm;_si)S%r>s{QO(FHDl>8<GrFSf=z4mBOkbxlPx~vma?(vNUQJL8LN3TGVK(Wa`0j
z|2LU+&js_Ed?6Sv+9QcdoI}PueIpW=PSomjJ6;RBn1bW@JuGL`(Cu}r<D~=So0>jv
z-^0bpVc)co0R<}>6+m0mrZih`cTk19xzOwK_i8NLS#^u<*^)&Dp6y32?tUmY?(98<
zqiB`7r|?R=$lg<+x3=1VO?J=0Wx=FzX_u`>tWY0b*9pI1(x#uj(rlCc)WF4@`gRWi
z!6mO;Z668>O$^B`n)XBYkb;$<Dah9A6U-Ii$;w?AT9!Gj*9L#OY;Me_3eiUH!hC`n
z<(DGQ#>HBhx3r5(J5?eA-P}2kphA5Cxe2`dJ2IyL^dGq&!w4gH1&;XrBB*1I_+6%5
zE{-4+FEdA|`dDhWRTgE{Na3~m%_5UhTIK81C_g`x52H{SZk@CXvC70|q&**?6E+-9
zQ9;RIvDHm>XWEK)9=bC;f3GW!!{m^~uS#eXGBigiezh5W2h|K0zgo)>U=^h9Thm)l
z$2=9`v~;X$d?eZ5fWQ4d2TQ#324KnB?<AHf#NWZu)qbZkz?5+rZY1|Rl_9M;xZhuo
zug1(mg{bJg*zbIZezCvKzgEUyzt1=a^OerA5uNrshS=~F!2&t>2%dY{+wpYz4Z80a
z_2EFR{**VG<ypwpK_h#$xFR6D{aMv*llPvn+n){=`z|)K?P692%kRxUp|MoJoBuvE
z3JF=;n?ITJTk_@&$>I|Pm*>q-;@OIL^OuKsTjdB#kl25mBIxqC^xvK4($iv;hE`6$
ze$;OCs)~P-ARmk0BPXEbue-3kcq}{jXU`g93ccG<XyrZpUn+u4WsChhHQK7U3hOCc
zK=#eXZ#x|xKAC|WBoKMXv?C~N7HRv9;NyQjH}-7f>z!zo>f`@cyvX+P>8-6%&U7E&
zhj(Nj|Ia-H1XsTD@qH+OwOhhIet=)JFdCr`h%g_fpb5!d-IL52;R#DWpB86MtM_C4
z>9YCx7u?`7Xc%0TZAp#t%aXhIV`E+Gpi&tp1{!sQ@hDEn{(q-{v%fr@8KzjC{=gtt
z7QrMl$mM7evTH22Xd{0b<T<sCDHtUDsocg?T1%<ra3kp!DPu%4K)+iwI1Lojk!hgx
zOQeC)ua$9&?l&$$r&d|0j_4QdAKEWcqmSSiZBI2GRmVZk=;D4fDAy?Mm0lz48%={e
zwkC50Mc6l*&}~mk?cBlTEz%I<C5N5@=jbIGO$D5z<7gBTBDQnX&iO4lM}}tciwQ2z
zIeI>xt%!5vr#cIlRq?m>js#3>d%uvt%i|s0lI9(8&pG{~;XBZ4DSj70I~Kn~0<A=^
zyPVQIqSH~+d&rf;WchJJmX&vjK2`*s$|d>;HA2=E{gWf>>O0pZ`b=)@*)Gvr(JIv?
z`XpXtyF~QXRwQS-OXR~lvP<-34*|iYuUw-4pS>@Elj|t%wvBa-Wy=RPm}TvUjICL-
z9$h|VWLvgmEUW`tvMmr|cXoE9ou}QIWoA~=lJLcZKsY9Z1aT!C1`<euL&!mZe1wGX
zK@15AUk>;n1PEX9B|rj6ARGac?_bsD>v^x=dow%IE`cAQ+4o*|S65Y6S5;S6xlk+y
zlgNe1t3I;E`$x<f{s~Kyh!$r?ljvRi>4KR=D>p|O)DNySiI!2L?6PF%HgSa_XwTt9
zGh!0)h9sWnv5OY4N4;5f7O+$7d6(uvEc44HXyH?CEDMPUu)zG1>0tDRJd;v8&$ZMj
zJGY$PgVDXYW+)FvcQHAVmrg$iqxYb1??%K2qjxa`kdv_oqx9C<g^~|F&4Nh&2K?>z
znJy1^q+rS7Z(^BT{OuiG9gHd^O{t;&M$!YI6mHGI-5!8&65#p{M(Mrq0Q@}tVh;fS
z8jJ_vX=LFw=GurG>(lsuY7fT09=H#?|H+Qsulw|x{O3mIt*m|Lsb+6B^xp}3*efHt
zhW&>AJ9OL5TNmvisK(ssH~{@4jiDSi{s+;>w+-4h{_kb{mTY`OuJHW?mt*6<70(7@
z<3B!$m$i8>z+pS`mk6>f=KYqac`wME@8GkaF7zr2zf2Ghh5sl4SF$y_km5}IrLkt1
zDt~XNGI;C$`*|>_bgb`EqhZO|=^@RpJ-r8>l3NLg1&(RH;99YM(%I0~slEj4#TxhL
zqPt|{p5EG<$6`0`U3mL8?u!lryo+8L_bwE`+715m&SZAcVyO2nAiG?Mym}#<Y6a#C
z|8%8kPb)K{D*G+|biqvfXXK)eH0^g&qwIp@wjQIJ1xc;2=Keb}ywHDNV2W}c>@ib3
zCp%LRmKT^QGTHAxk!MnBZ~1X*l$|9`ul@eoTr-sR`$;B8@^bFSet$js_U<)ozrT_p
zNV4DQt+UZ2+va8+B!2_`cKb{hdOwqbCCh#%mdVB6-qDr)uGBEKx%(SQ`(0_&nuBBP
z_lE(l&wi)(!hZiO{bKu_e+|Zd=M#J(A;%UVvbmQN{OIU?Sn}=(ezaq+InT%R(eIT_
zANNZ0JsbAl0HN$96J6YX!~W~K?IJ$GcM)^yPw)%Z`B0p2S$R1cWwq|l%J?l=_l9QS
znFN<(-G2on9f)=Bp5QxVflQpLLi7lj*qHoh$z7>emT!$U@vY#pj0gFB_oG)<xRFph
z6t1U#;H6N4IJ&svjQz!Xp6?J0XX9sLhNE(ZAkyG1{_T0tskE|f)JQWH*3^I35a(xR
z#-6Q)U5!?;CjWhSk!<qQTbuJ2yUFju+qcO->mb0p^p(l)LIJFu_7G<mCa*Hd_T9bA
z8U6`Nqn{RMM*a5|{&c~N{@3NAk2LyUO^ve4k{$hoI171eS^f*uo8F{43)CTYfnUvo
zOy-fdGc_~u2q8Tek9av$*+^>RQd_gXk+hMNN}_q7+eS)_a{fz9N7zVzMZefa;$MTY
zk#<{WeJWnEpPWs%_kPl;hVR2lx;p-hNcHSBlP-$EgtC)j-|3aYhSI-)TK0|><z2s_
z^kv<)^DB$}1XSVjbew~peZ3FI36|0sXq44b`aTGe<y*3p4AH{x5&axX>F@DuAeNF{
zVkwSgm8m3vVlDjtN&ZSTm7Ls6Vvi9)XBmy8K6=pWDSQgic_<w5llw}PPFRQkjU3_=
zV9M^alvWQ@<|;YGQ(_<8k_Vs4KDwD24NDeJKN0=mjd$Lc8GE*U^klS(wU74VMY4TF
zZ|&V=vD-&3ynWk8p@V?vcIvoBlzrqvu^8+l7bdSF$-3_@<_!OYrF}$;Go$W%BY(PJ
z_R-JhqK~wXewG?#mnBc{JKnj=NLt7)^?ub^$X>DUy)6%JnPnbg;$~tQqQL^QOr|5#
z59OJZ+I&7pjj}V$={++2Os*NqBhybYIg%;Y&ynfhpl|P9#7Cxo!4N=H#)dr8TW2Fm
zJ`Oc2BKaHex7%mBNc{5@ELlgU#4@?~+dH~)2Pi!)mpeeI-I{~D-2vg(0Iu)Il->(>
zz!Ps!?g0KZ7<a%9vM6K$zJA;Qd8^M_!}ekRyCI@_B5cPOr>ttKkpWl0inye6j{Qut
zG8^~T0r&PQh^|+^alcWwU8EHz?P;?WJ7sFU=BjREW*Xi>lXfiPQ9K)nMQj&NwI`!2
zVF3)=TO~=1R7;qGdbzL-C8e#*A*F1+txHxmM6Oy+Gcy_>&CH&;nP<!g<z}-y-_nVW
z`{_cnUwDup9txi+0apSj%7KnP44q(jNiZAJ<bF*PQ?1~@8K`x!AE=j0n8I6CV(Dge
z772cd9z+{axx=PNDd4Izhv({CthCUSl$>a^kx#f;uGP8rDQeju8*u#^^F)jla2*cR
z=xDVX6_iCqahv0{_Edq3dx*?Jpg4e$*+^{KkD|y2Wi6(<JIFps9Hi^-$Wk8#RcZu(
zw`w!B>2ecQPG(iE=GyZx9*?3K=|{L|0vBdQgknWZ<y{fs5o#ey(Zumw=b<~1WTtwe
zJcHYnSk}S#b|jjqj>~-Jij55AQO#B|%NAxuTzs!rrwcP>q^LeYwUYShL=Eh63<Yr;
zP2x;&Zlo*|u|ZX^vf*`<p#ifZb7=&GEpi*Xq_f6>)L^Ik6@<qz2USt)e1#lDIlGtf
zv`v@11O9~5g;)M4dz{8)AIFcMP8^z<bWSfE3qy&Y?~4*E1SPguNYRgC;PWcSw9TkR
zwGxf3MYXDP?qs8a(%z_~INhimJ^8AWBQH4l{FBA0Wd|NU>x?sQx#boC$XGep8nh3W
zMA8T;_?Q8U8%GPJQYi=mv93^g19hCr(~ywOt!RP5P!OecDm9{?7dMthMhet<nJ(_3
zYwmHZToesZ4!b?pZj8x-1qTmqER6=6@W0KaLx*Hb*`j1=62+0iLEhYp)Z)-+0YK4z
zy8bvc8cd>mZFTEm)NX2T-h@)uvfTzWbKV_dK*ewq3yOtJ3JVhvEKDR~VFRIo{%<qj
zj3Qzp2@#uYM7V!+O*S(kN>*j&Vk|8LfhFFOpj$vPNxAqVzLh-vBfgD8#3JNdtupZr
z{_DIMNB8Z{3Mr*emTeP4UJVW3Nn4GP>qgpN7JFW`V9w<~%C*Hw=kgy=qhV=zrXN&|
zJW#D2nL-IZt?no2^xB@w(L!UslcNzZ{g-(r&Ys^-qJ{6o+VYGMf--u>K9HeTnGR5G
z`pPi%Y7DBXnKHvQy}CVPsev+&0!HB(`vLvpKpFlu7|+<#YW0c6TzztkZd;-<YQ8v^
zV7A$qh4L{!a<Y>*89-#<MDJMVH%>$3NIoQ#oSAT_eOc*+5K{2N6{ilX2OZm;=QO1+
z!$;0L;|%@rDuv-d*)i4=y&hQ-KK@2XicDeGN)Y}rM#A!ZtZukev28q{=XPThK2Yar
z6mRSF^yAVH_`RS8b>UUijpG|U56=eT8%*XQ<sB5@uqWyQIl)-(pm9!hHVfxqaHn)J
zp;+v;XYAzKQY{p4ZM9MHbw=FCMjcqzRP`>>Q(H}k@OA=mD7;NVs-$joTetUenkLz4
z=Ti$2l)qI^)7wl5YlRhb5<|MFE3g!WuwJQ_;K`~DL3kewzVHDID#Y~x`o-d!e<g@(
z2{1N>sghdcLPShmPIlyz;Iqfj_CTE#a0;S0UF#&tk%OIEISph#qWaq00uH%i5=FFF
zHB%mmcfJ+B$iNGaPtTI>xsuZ9Y~o0|8Qt)-T;1vo?Yy5D3AfB(kWM$nUwS3+PVk_f
zW`2ogP!#?Ib>m31DLfm9MC;}eCCLOBEXhJSu~<n~v_#nmL|LYKj#_}_XrYlE{vyFM
z6uw@9mClb+Y%L}3W5mBkBi=&t#9pdoUY?zuu2uN#p=KQ*1yrUCUgt_1-!$s7QrT#s
zR;rdL#d!^-3sK0RQLn>?jKcvqjKx=##tap4j&3ifVkkq_UlU~gmAqsP-$5;eE8bwN
zw<}^R#Ad9ET<X6yn7q_KkOxK;fAW56G%VM5x=nf2POdR2>(f~o>sj`wy!Cn|W&K=F
zq?5G;mf9!s%$H5ckE2CKQ<CtK(UkmM{xsb+kSU1ht9d4+i1<&`D20gO+7-r@5Nbv-
zT-Wu?TGOXD)@apDm{TSb27)w{u|~_$$VcFQVvWv0-*&9gNgzEE_sX$GXE6jxu}1XP
zo)o@Ijw3RQBKaFE1Gi7FdxDq2e=)=QHRG$m8R-1`{HdQ$Hf&QBYwZe!^#;y|*`FY-
zhH|qS947yQkPgKuZ=J&PqMa&>*L|#U#1e3ugI@m>CC}W#6ifcp=9%y^eB3#wSv_1m
zL0es|ee$K975I~mL{5g=o`Scl=+AN!hbt$;JMeir&un1`l6Z#RIy`e3Y8CqMtFh8a
z`w}E}`%mYe8yMbXjM0LO@Q=64@JWKzzMFw7Wl%85yIjKA4}kRZscl-RZvIB{LYz`V
zwfOD!^9iQ$nvTR)!gTyu`o*Rr|4J|&rJdEQ*|?o|Yt9(bkL`F<FGdWH+J^yov1>re
z4*T+#{fe{3l6l*)B7aFY>^!^_ypxpZmGVN!yKTmlEEtwhvetg2B?`;g_v%^aH!2Or
z!r!HC9Ha8hcs3BDGJ$WDWhr1`1LrMrcBz(SDbBJ?%(|hK;=Ii??!&(z$cDmCN&uCh
zO6FE&V=gt`WIB98)4@_oYdH-~qk;5lZ=S*t4W<81Q2GmbDII>ES_re#;BTO2=Qr}e
zs4SL$rAEV20(6<3uU<yMk@%0WQ!Mh|A?#0Ukp;!s2Fy{4n}K&>4;%+0foqo{U`^Lq
z(?N%w1?fwZY+<^?>OOl5=AG5>VSWBgwD4Iyq>o9>iSV9LbNUzlbb-v;wRt9`nB;P5
zl*lB4H}adcrKn{=WjrI!D#sNi{L=$4R&L9M5^1b#O(C^ytcW9v?8eIN=-W0{{saur
zZQ$O-5F{BZ^wwrxeD_2zcFp?ne}{$P_U+Zrd0||if-TEX+038%4c)af4cM^lDTF?E
z`zKo^;-oCxa+$vyrGBM-rZLAV*$D^nUY$U>OXgDWV{=n@A3n}u`aTbzr*qSD8G<Bk
zqPI3TrBl4l{rM*^O;bT}Z<oq6-H@SIDPT!v<r1)d0HkTEwsNKM`5Q^oROzu=gvOYr
zOjNIFN?!=m^h5NEO;i3g7}IozutPWpM?bb{-s@S`uzeV(_C1|Qk9}FEp9SLWWsuC?
zj&=Ge-LUiPOT{{6%6FNk=eXE}$cQ|PO2aSfiRU*^4bsAYqHY`m^?&2pKn&C*-cc5+
z0ER82zm(HUwNQ(37Aj*nn(Rc|rr8^4gokI}3@pJ9P5<Q3TZfk(PcriVOC#U1OJ0)G
zEQKE?r#(7KRt;1sm^pB)qkXF|RX!%F!MDmN3(sWLgj_rT8AiECFv<ma86`ZQS_q@o
zV1J-S?Ui|8RQAeRYBVgRMwe0BWy>Dg$!DodH@;)ZSL)i;Be)gC4^yh(fg^C1&Xw{4
zL|zK6kVmj1nh^#(il%O7zym?TT%U(1YyfOVi;R{r5ig_Sb~%5#K$h|TJd;wKb`Ld5
z;k5jg@s<?Jn8G-4>@-<DT&p8Y!`hMsw+-S*ubB%y(n@YHfs)lE+pfuLCAZPHZPz@C
z?V#IAKFSaz*){am-YW53F=8eAFl|;`_BL2N?wDQ^f)~$J3KlKvxyqmVt>><A0?fFA
z-HbUY*ik02H-pIYOuV%E-Z{AZW~zMRtSsi}Lyaf4kAKZUc`|d*v?L$BBLxFCAB8`S
zk8{|^599N6K6)ENki<vy*5RYaCt_9Oqm%p%_{8lqolhQO82t#9Hn-ptZ<osEp2*Ov
zw7E$d<`Uh00Hn>WG>u#~x6;hDaE`ILnNhqpH+>;&?(fhqwz>J&U~F!A9Ne0%R{Aly
zdpi!MQTwpCyN~rmhkY5`7d$n(u9A7%F}Tmw4VTVwu)voSSuD?fH7+56>_=Lbuxt(V
ztn*vj24msn)Qw|puf(%~SlbDFql|3<3)_1IIlEM2`;Ku|==Xu4$Dth2)$K}^>}=eo
zsx)g86v|5ZJXmi+C{z<^6zCs3jNYLrMza^3WA&@Hx>b58bIqM;vDHfp`z`_PbECMo
z0GWRi8gUkb8+(RZa|H6W_dIt2iM^wFB{j5^;U%}un5VASJY{?c2hPTs=L1vKdNALZ
z3o5u^)2`}_Fs-?X$~5w|jEa}A6e*>~c&j>n7<bMns)Ls5I6|ijRgwIKIE@3RDV(}F
zN7-8N8KSIbX3K3b<8-Y(A5^BQm7^`Bbit@H3Y#^uQsEBd9;i)1B}0-B{64m6yUY@@
zg+8S0FAa+Lo}g48tiv_x__PHcpOze6P(i|ngJ!vYG`O}DY-<Irxyn>z5~Bbt7$4&t
z2V-N!k#Um)q?8XEW+im;w!|8Ez*#uaHF!Z6s?|zd<IuoB!Rv9{={9*QvDPEO!t3$A
zfe_Sy*cs3OsrX!}m`b5>xnME_8e^~37xoT{1uzhfHGp;oI!r1iSKDhxVY6V?lL3@5
z`r^JYdZwLK1%JdqmnyNt`w0Z$&5M(Roo(ae<FoVasYbovtgV<7B6=Sz)+cK-Tdy4{
zpf#f*oLFN5-ov-hpil~-$ZYMacL$$u%Z1M}KmyL*j7BMLDcai<rYQ4FET&$$r*Rze
z^Du7;?dCj*dJ@O1W(eU=Vp++4oLtjQoBF!8l*ol5sUK>)h7VGGiDYBK136yYG&(Yl
zF_0RrhK`Y24B4H^g?g=0ou0o&C^2+rr`l{bnnrY2dV}ms557J-Y=#n@a&N=sKm@V+
z?>e-OZV}4`uGA7dn=ofU<i+;~P6wGb0~(b#1Eku?N(Q5i<!BT$!_13$brOrd5X-S}
ze|dUNxN5cpykLV3baz;AXoa*3coSP-M5UcThoFpfhL5)t5O6PUhlzDQD((^l{MW`3
zE-HgN1<y9Cm1^x+b#hB^aMPg#aqwB9gb)Wmahl<Cc;s`rcti@6|HC}uWhYypoS#Ik
zR}1P$wUFfnsd~`zNWH8bu3@Dgt3f4XWm4*#AlvlZWOYm7nqXhMIafhWz-myemX4Gh
zjSvDx=M>xoYSSUsXi#leMyTmjdA5pw?<HN4g*iRl&KE00+Js9w>oS68P@267Q1W#L
z_0jdc+Mcvp<;h0zcbv|=#8HMALBMN$f)>Mov1)|GsTeH=znP`W#Yy~n{hipqIGn0h
z7kg2yQ6GhER1L=6lxxg8Y@90(^Cg`pB)7MC$oCZ>yI?D1iFNQDWt$-nAc~7FO@!4z
z!5hdEoS`x?6~V_$b*7zT^3da06>)*jOp~DqO=1pX)6d8BJyt1+_1~H^dD1uLnzYQ7
zbR9JsmOiEQv)J2Fo!m*$r}+g-QTTHB2)>Ste~^O6fFUIvWwER_4jZOAYg=H*)}g<E
zs-4ax2FN7$Izwe*5*I$`$?LLCT$3w%lNgMoao$jPCnlDnHmf*iB7epsflV2Dl}7?f
z3D0#Tp!|oL8@rDLG9(vyF`yJj0zXZ^_(*_%4dzH-7ZSitjx~<g$BvboHM-H?>L*!x
z-onz|qxW${@MP=8Sa-+87Sh&MM_3fw`O`1#{#1$UxL0}&u*iA{G_tpZ=o0kj5qg7e
zds<RMh%}|GW~EfEAHg|)X`<Y!j)@cuyUO#`W+@Iae0*S%sxM=t3Vgj@<+kbAPv0E-
z6iG}(%P2bEt5Fhnz>rWC?YGg$CoSaB&D854i+&^Hw^S9)&?kHs!R4G-ycW*}a$;fE
zkB%XMI=K)qv6uPv1RfNV)RT+hU0Cfcwzfp>ZWw3Ue=IgO><1}dX_AGXr*VhE&&lDH
zw2UqS=O}`G`HQpma}2WKzM|UCpV0_5Zv4&*pGod}SWOM&;%&l*4phRpovFg3#koz|
z<)gR>PxdNI-*&SxO}6k<<9G!BNXD-G_jEV}`atQJn}s`v96WTCG%i*ug-lGh#G>Ti
zaG@Jr<j5%k#!`4r*^nT>R~;5}wW?$kDOrAL;wNTGEYiQ}4CUo!WzP|OiK@2?e3}9@
z9Daph5S~-RdOfM$g=eUA{5q?Q{YbB6p8AEi2sx5zA*&FzHPmQWipX>Y{8pCxbcJSn
zt%76GW@AQH8lZ&`kxI<v!W{|6gjgDq<HHSBLKC%@Nb4eYXIYndYIdy7r$L8E%$Eun
zx&qxXy<;m4(OX+9fK0u<$JuHE_1ptij|)#40}h1&&(F{LGAM`WpHTx}ouOB$fh)FG
ztmp+<rT0_&pk~J;4Scx}(s9ZC#sH(xzsKnp>)-rqF#7jx(~VZEza*^J<;>0?M(jh+
zz96D!6Zk@@?m4&LJTPsqmt?+k!f@tv!_!hPwMWD|AvntwL4=!H{i#<zi{_W;nZ{|x
zenZ1xDg0^b#!+Nv@oXT9Yz&_$<yFAJx>ZxoELC~kuuGPykxQmL$*K~CBCtj^jt67(
z4vG;aF*VB3<tZ(V2GB|U6yo$P4lSa}$Z8u7rF|3(Y-TVf?5{bUCG)-&H$V``?T06-
zc?Fg4#LT;)^h!|H%1=kh;a-;zv(B3|>sV^}pWH7U89}ppWDYfnYR^L)4D@Lcrh<A$
zIJFQ_Hz<ch0Wqw$tAwvOpDL6ql`6#ABpl30ZpBFps~oo6Dj%+H3B+qw%>^rt2gr6s
zAv6W@0Y9x-o~$8J!G4@`j0^RJIxiogIG-c(Wh<B{SB}y-E~!102C8zkp!83o*Mj!M
z7!E#q3MXY4v~x;_#mf3$&SHqJtd-*u-D*|Ei^@+pon%^3G%~NKRhpI-9;}C{P+ri*
z0}9+V4s)0RSQ31(FSu{%lhcd{>9?mC45iAR@WV8DVe!PS>Qy^LF{_pcJ%C1SJ<+g-
z-=l7Z!tdrmB_Ei|@hJksj2}LXbo|<X^+_tm!@+sM?s@i*Q4tzpR<hfyRpO^3TV$~x
z+@E11zDUt66#ho%p!#iq(<=n^>5Tz>l_y%%WwSatSE-K8RLk|EY=nY7qJU5Usm8U~
z#0yb(2jMabB3V(USf4H7(pall+_+&h*f^pJ0>OPi`dR_yel{RRMra&Ad=t|Q!3%4}
zt+ckIVjz4UNb9Q<qPPIIgyfA2prP0dao|eCaS~4mQrIy|JBidqj#Ai46p-jYVSgi8
zMiz+LFrrA!B$d^klfNG+o)DxKMzU3SYB%|bWM??Ynrk!Haj#bd+fYaF7zKnz_r{Xo
zqiVg#-AOJPDQw{9;#mr#p3pqj)yqc7Xg@-jy|TRsi!$)V3&X%qbQyReF9S~|GbF?e
zL?Ma>+C|K^t|K9|PH-x5|Kus*a#0T_md71lo-WT!OqNmeFe-H?NvvZoa^2dCqHyr3
z_;^3cDIyF`1R`xMBKRs&ENwKX&&|xvZ-tb-MTyx1Kf?AY!FF`%T(K}q=PE3n$5<{$
z>?_zi7cBDO20)q30YXNgjC{D38VyU6KHc$p;WizUB`qOgUO<(Kd!^AB`xa`_U3p-J
zjx`kSh@pjZI;4*EX>J*viW@WZDxHdEPZv%UuUe{{ipoEsQJv&e^xpJq0!ralY|$@v
zEAp?wxD|KIRFRl?jNR$|oag7wu44_`hlBBQ%fV>%ScKQMS*x_V&+yN&zEWCk<eBDX
zRtP&FLGp6*JJVjG+jib|8dB{DbAwLpB{IaZz4)WFn-PRpn)ouojybVkA=?QwnKS$7
zb8~7ReSS$t{~bl?+ca9@{F4bM_isicS24E*f_-xTiy6PAlY2v>@D~U!$Km-xJR69^
z)6VQ;(?EGW1u*QodJ(~u<;ec(-9$|L%$|?TC?kjpiBz1RI6qGlO~vrz1kq6Vhy+X>
zyhP0=n>sWrx|p{_mI0&vBO2|-V|d{2pa$=^j_ze7^c*~Z!Nhzp3AZzDb<S}#;5>o?
zXF!bx&iO$XbCh48kaqrtn;brjU_sP%7qrm<c1Rw$e|{FFQz(b2Iq>8w7ZX(!R7Z#s
zCEVb56zD2SZ&hVK>u`ln)Oti9Jjib<d>5dU3fZ8zVK>|dYIur2K(Tnc);m@F7Jcc$
z-{nHP(MAC<D)(K6PZF6IO2JN!5P{3|I3^TOD-|W#BG}Nz9e7)%GS@6uXnwecQZ1v1
zd=2i=*((08PL*NGM~=Y!<Z|>V7EcLXWhHq`n69Q!JOy2DfuB`$1awv4$t5rDC}9RS
zQwR_-Q{aTRxfUoeHw}uBJ9P$^aDhnVF*)3ro^Bl1ZleSLuw;mhJ2F2acNe)CE13vx
zMB8VCX!~?t(H4G+S_rSCksJ{xP-j1RfMzz@hOt_KY9XNJHhnaPZ)P@@=4Nr`p;R*z
z;YNLFTwkI8Ke$2u777j&^TBkk5yQ&RKVXjTCY<UWQ`mq~EOB(M<6MxiZ_0|8O)g?K
z6Edz9h*7^C#4L2@QN(;>VGwh^i<s+}V>a1ZTJhk_#zWGdw+a5=*4%WvI8tIK0=Q>G
z>4xjn=H6rL=+w@<Z9!=M*jTH$m~Ix^AxP2*Z9j?vdoh4b*47=3L>b2yQlnw1{-qno
zPnT<!;*zif)!NvB5DQH^oLbGnejL=P&t~RYZB#o$T0V1=O>APZ0ZLkFmXp<gM`wC<
z=9$_-N*@NF#s(=}#Z-nEi49Vsw>Dbw-L3sjT~DX~uAqv#5PHpZ_Ap$*Gxn;i%ELem
zlF`GkhCfZ`>P&UN?sw4c2Ufaz_EDqk+}t$xFo~gs3P*LDk0DAG>ZRiD$p#FIdV`Wh
zuzqORyWFl!(NT1O|B#w0_#UcOv-;e*8tJI=o?wNwGMQ^XB`=(HJyc0E`;lfI-j?dQ
z@Feqi9c4--qtwphl{X*UEc*5?J1z@$gds>;bM)3(bB7m<I;<Hb(nn*rGr3?Rdih}}
zbZ48sekW7tN8V2vc1TMi*ZTF29!d|P(Q9&e2wy~6BHs&)b2o5R;qZk3x8n&rr1!!<
z_?z^L{e%2#F#f@9Y9s5T`1|!aV|V0`efR}0jQ9oF7s!I7_xkA{2eR!2nJhY-$it87
zhMiwM4Q{|*QSXEvYCXiSmwZM~HqN={_m>((h5v`TaeQ$f!n1++;^KHk`QZd0>=62}
zoEkLQSDk5sJ;eErU0ryyiXl`h2j}6~2Ir#ThvH>d0Ai5V*n|Rg(!Ygj^zRNuqJdK9
zaR{P@MQygL=?GsvH6!wN`#q<_<b^;oSf&#rDAK|ZT}ZuRnEi=MYCSO%eO)t=@hWy!
z%7`T$uw)+Sy*PZ_HY|yu@M8MMx>@eUJ|QW5EVU4x2{U@sGx0qgn_}DGGVCN0p|V*8
zs3f27ZxYt22q!^*@*rP4o#ZGc$ywG>dig|AG{E_I9jVK=uA3>JkkJ51ZEE$dHnqBJ
zb8x0a-Ec0w8S;`&s#B0dg@fGpXs`~Iq}Qo4_s)N79B4M<6@CRcCbyqQ@s{DZb7F1&
zbmK_h`Bz(ws&yTO@`gMsK^gnkQlnwHzoZ-cmztCC-F#pcG$umioY7Vca$uTIjG&A>
z#j3r_fi)_GSB{I$MUpC51k1(WravajJx(XyrLP39J2HA-WhS99YCnvDH%%1d#2&!8
zJmWfCq&`kG$f%ER%+RaU#|{7G(8oWl_p&&ZgZ1$Y7x7;ND1}D;V*14zIsY1rMt%!R
zwm#JH%{g^K8ZS{7@4S8SE45+*tkITLkgn3(4yy;9HI~gFS|D(zcZ1;}@Itno+A$d3
zpc^hR+?vv{XKVaH-iSZ6s9{<58+wlU?F56L@Lkl6V<)@@&jw;Abn%BW5(E^i-@RVW
zE7nM`RKCr7NIQYgm|SM8Xa&eR(S#!n3J~RSl?S_Uw~4eeji!#l>Zz?pfB10%5vTVO
z(#)s#;p?b{xaIy4Jx%{6B+HH|tYGJjp;%Ti`vnXt#OxR87mHc`l^|v%zzD*c>bWX5
z@$p!z(wIg1vV2mLoTw<l(w-kV*~yy*-He(nc9%f?UV9p8!q-l|ZMW-71plXG({vtp
zMDVwC!=;c++Qt{-*$Co-{SLT<IJO^YslY;c)$P6=%kR7~7z<ZYH;z#LS0HpCLOFqN
zlxP;PuxS2<q-mOH-XzTp1h&xqEQ3Ik!QG^2=Sx23@?F8SHOhO(ehSIE)<JXB7+B*B
zs$4SXMqn|$Gv%J*bm^DM(kDZ3uutYv9jMbaG0h+y&qpzHN;4RS!+$4oh~4CJ34NOV
zAa@f*NbDvttd?~**^NQPZnB4d@ovJul6DgTa6h}rJ@rO?tc`rRoQ~b3(duVwxijCc
zR7wCLai0<D*_20ZUTdq(@e}OR^?pS1M{Y4*(G5HAUjkN267n3G{<uUM3IU(^UN2^r
z8OJno@~hwmvEdwb<4F7G;MqW=eHLC*qF(^UqJLaYHCFW7uKQj4aA;jcjSf=Hf#z%U
zYDMUyOnMg}1s>e_h}{%PoEnpJ2>+l+$Xc6<8BE{~5T2N#@(bIkCSv$=G^?TTXXWJ5
zR|jE+!f==LT3~{9G(jz!>TmWm+PHIXr`AGXE(IbSo`%nkFZMSA6skkQVna+3K#TBE
z4#HIts|BK`MN5vMg*s1xwp7Cfot9g$%{a~aOnDwxs$0lSO}W;QDVeQ05t~&2BdPRU
zHe@xCp?$JJsn<m!YuSqL>>i`^*xVmViyx5%(4f5i?b4hhCvnd(OT*j`3FdxNUgi$p
zNG-&1hvAYz-pKl`JRmAR^lwn3VJSS*{m`%62B(0LOon|a4w_sDihqUdfiI!aq#$$%
zsd8I}q_f^XBBPweJF6c`u0@g5hUdZJ=(UBk=?KIwPJrPj+f#+ZwPverN{KE$z%&bW
z79VVo)*sHpEgY%#hiH+e8B5PPaaBgo`okG|m7aCAjMN6>)$P??IJM<!ChzGk+`j-y
zp`?F}ezB6yzY>&msjc?v?%5mFtmFlXe$?~reW~XXfIgJ-AW=EjefQ;IS#byCSf=A>
z$HVd%-LUiCrKXx|)H#az#j)(84ETh%T3)eIeu+j)ex=-?G`yI)ag_2OU<D0CDNpAy
zrIHJ<Sc5x5PBc{|zflFm(C!pf$<_LVl3qD#spRZW*Y5J(JJ6&FHxjf%;d(E1oa0Vb
zwU;n&Gnqy;nJh)Sz9(WCDKb#Dtg8_td^M8NLhOMclXG;U5wH=3AGpyrRfR^<teVm-
zP?>QJOErLQJ;xW`r~n+P&5_KtPe>lu_`^EBuRz0F92!oo>a48J%%Z$<t#$HMC-rII
zGM<WBypO@W%ow~>cRC&UeQr;quf^!>bGuW|xi2Icm^us9V+@X>9?F%9G734%1*Hru
zjGt%c!q4bgQT)Uerf^B;RYW-UX)D1Xi~+;RgER)7muu28X8$-f8kRyk-56MFB2J?6
zP^<G=_GS50OSw*#ufZKJ&of6>VPAq48C6)qMMf32ouOB$!YbnDQeo8=rAgD13i}>F
zDOA|srC+SV@~^?Duy-MhZUXmlC&%i@?$qi>cioy(ca4smsI+$8z4-M#cPgytd3@lP
zT57i2wlDqqli-=2^y@#>4VNsw%_-)2F*t=Y%zdmS8Sg(|&=|<CN*nBjpQmmdRr;fN
zHV{?X!$(So7Vxlg_AxobSRLBZ*RB(%k|>B*XE!J=?j!XplxY$WlW=Dv#H3o52?U~b
zr-9`jTWey3|4CpDh2N3TDjDq6mw5Mngj$Fr!vD}y^)^%92Zb4k?il)IJtADQU5W1V
z=@*M`{*@rQLjiC<M})V5(~%pZAF-V`$+s9WQCv%xibwd_$(vPYeF?o0V7n)wccpH)
z6q0-^TsdBZ<?6XO%~OBs^~A#MMm^K~!p&eQyn(uLgj;}T0}*a9e4>P!fP;nFS~;^=
zp=O`eT@9($tW}RehLHzcU`?iOF1AKE<%kHa)9P@ZCK})2K7wc{yhj3-S$-`k9%S6_
z(YUvEkIG)E>Rz6moklVmy6KLiD-*Q{yP0y!R47{uXBuMpHCm{ZswMhT<iti8V_lSL
zg}qOoaa~vP4Mcr4r(`Tc*$F|}@w}7`$Eby{D-F(K?8*!Y4l>?$Xy<`ZoiaU_8V$=;
zo^Dtc_lnI&B>khLQPVPyeq?c(lkMycG|oHO+hEPTD9^0f)ci@b$Y^R3b~2ipb^bK{
z>Pn`2{cp=NDMiYMs8I?j!?j&`CyU{_u4mTTzGs^{9o#|1x+w)fWOYLsj4WNQtBPbz
z$h>4NV!rz?Z;OdgpQ(>2KN@x`>|@a)Jm*D6Rc<8rvE~`x@jjFbYx0)=2bpfkDq}yl
z{6CDo?OXo4=<jX7cKA={fw2&4@d!Bh_ZR}G(Xp8|=&h~k;JaJ<C4fd-|6NJ=Z3xqR
zZbRXFdB({&2WG;nfF^YQJN&7iMT_?$xmayR)C!jjO8!Q;m*FJd!NnFR>#hpI^m5*6
zyEDai(T5s+%yr*&2;`rZ<hpOAV8G_O@KgA>a}Huu5FUXYw$?uR(#{I}$yKhyZBN15
zRrF^WIpo?W!|&nqbguh%h9HUS=&emteD`>8T|8DbK0M!mly0BteDZaM(T~swpLn|r
zpCnl7H#77qPs>T9=92$@0Hmu?=>tkl^f!_rtxD<D629BjC>X_?IhI&SxEi0f1Haf_
z<zET*sx<9-JuTlMw1Tmjatr0z^EnIc+Yxy)$6CYoVYS*BI3qpwWx9?7@%GY6W^d;_
z{Mou;=hv5ne-vH{ro2oWYn*lGxY&evi9FL1g(Yl5PdvXRYmgS!sT;?VeE`n}V#y})
zjxuKjFl<siQ%*0{oLwJl&hpw4`gnp(o4cJxfA}(j4LNWnh)QB5^DNDe0!Wt}hcYQ%
zq)B0Ez_nb~ZLQ8{E9^S$)y6%ABN|e_UXc2=c}X3<hFS<q*WhoUmhL<Az^KflU!g|B
zQVOJ7x;yp?OV?UnL2(x0!%#Ij{s55%Rk)B`3%Fo4FlO)q^`@!SS)dNFwm*;unQTD6
zA1yK((1i4i3e+$2rwe32e>Tsg6o-788l`YZegnD`HD%Kb=z&?s-^qm%X{Y=L6D3*P
z+jdIc9C-hUzHK|@h4goqb^LD(L6V(9Z*64?-#yW19h(4@l<%-G+`hePIxmc`F|5hh
zvh3Qg@~3{gc5S>bML0x}{2Q*AEZlOLzZ+%arhTSm59?$b?u;VdKWWKL*PxM4aM;`w
zo{NujSiPI@c{(?ZFa$~5L~m_wN~ic$+@F8)(n1v!_jai))PKsrN76zinUzbx`T>v@
zs@lhuzUOZwEmWn)Y7rV^p)ygu7Ak!qEYx}W#TF|68jOW{r!+;lyjnjd>dpDA+mbzQ
zA2#aaqG2Uua`9AzVCcDs^3OXfA(_J+BlQ)!Vdq^-#z>VIb52=TM@b~kTB8r6GVv{X
z?)mLhgSYS@>c+8CUy5e~u~QTIM;WRD8n%vJF6WnOsE))Ms*L3X6E#N*jq~sW1P}b@
z5-cUGl6h4br%R7B8UOFq__wUneW})|edY>t1?my(7gftq<Q=EO+7_joVH)Yf@PYJg
z==Udrejm$Azwi-iAuLXVlYv^Cf13wJWlwyT8V$?!oNjTBNsE(dFiPb{D1&;vT|I(o
z(EKoH&&^I(3q{N5w4S$6pc6-K{7rz1sL^-_b0Kfw<7f(Z20j#)|JU-6hSl`1qJ>Wl
zB{f~DS46^$>eZ+D(*?3$S3eD`lj+hF0V{*VS5c!Be#>va-kf5;Qg}zb5uiRXSIH5Z
zrY%TP61lr)x-zAs`&cs-n;%!_!jCjR)}fJ)?zZ`n*O(ne-?sVj9&kgqF?$6=kYs+)
zTbt<kZX{yNdQq(rl&2Bak2|VY*XQ*Uq~MWQQW`zO{Hfo}J-x@b6Ase7+CwNgX)FZ;
zHYbI*;^Q2K>?A%<=cI!SK@um?TZfbSKE8GPOy`pW45J^R5kB#Dsf^<%Waw2&ZxV>P
zq_-acX&ft+L+P9TM$$M|y0ezgF~%`7iq|-%FNAUYZu-T>G5;Enaf}2NRTz|QT-9s!
zQ~5Kmacqy<hjDDj%G+HQyNiCVw%;q4SoEP5u)G6(3<R*3Sd`8Enb1C>+jf5GG#JU5
z%6>-i!KSgP`+1hc;MC>MKUti55|YMUf&X2J|E<ISM)1GqPyG+Fwy1!nnQi!Knz&=y
z{vn<X+_a6%h5)N#Aqr^NwE81Skyz6<ah9~v$@Q%|(A{>gZ=q6n%65DUK#0}-ZTiKl
zn|}>vb?<7S<kT4Mc9=9{{jBkAIUQi#qxZ4WpKQ6ox;sYRRFuN(Ui24sf2x*#+^eVn
zIRCER1;A?Ew)2kDDgdhWBhcDK*<TT7y{kN5ZI<E?<H&$zj8uUyQ~B3^YU=*lPZ8%R
zT1L^iPNO8wd6rP~_X;%fY4l1Ay$)jN@{He-$TIW^FC(}dk+lNP1|qVCy=;6^2`&K>
z3$9fJ9t_1;!DZit7~Y4~Zdd+A)+rsMuRT5~UulwsduZIDaF-lj=|a(6(B2UUb_xtx
zLj2AM-l-96Io;--*_cBxq^K_2L>)As5`oYtS~1m_q?}ys@=;Wln1i2<s-ZO-@V6Zf
zrW(f?<*ZNPK|$j`Kx0~RC;>CusB@Sl-Fz6QsMTp+jFBt{hfmG$)?w+X8WAjY&|#@)
zW`XmfI8owywT&qQH*0E>PKRC|RYeg93eLh1mu0{O(Q5$^*N4v{7=*{tFjS1kGTnV-
zm$sCy68n)}p*;1U%r$lCM*0bAG%N*Qy4&(5mgaOAy}edx2gj$lv@<!B$!s9LCpKsL
zAO#*)1d@3$ugh@kXyAW_o#M5bCuN(_PeZGSLq^&1ufhwabZq!Ny|vYRSlk<O&r=hn
zhqhP|E(~exHWa>+=j3N}X(JQ0Gup^Mo}pK1BP%9X`+^r_r9-Q|Ofz2(I`p3dMxjH0
zl76uc&A$etL+>E_SZ25BM|sX0;A{=sht_<#t!`KokrV1xn9qrfD^5fs&ormA`1vwO
zU@x91L;7vxf6#3^4=qj=*&s{?I2-$Tg~Xt%9Y>!V{W$vkl8*j6iqA84`tX^cBYz)=
z%&H@QC*!xIBO3yR-zHi)I`S9sY#=(a9a(L&qf(9qFs!?MiQvkj9B<rLMPgpsr&OjY
zTRR>N4pZ*SJ##b9pwv{&^1KP`?4hNmX}FH)ITT*$C#&UFQA+euSP@KtwQ_3MU~g0R
z{SI7p<{4+~kK(#4E1Wc|v*fC&w<C%&{~^p%<OhSUd|0NbD1ZTMx*=;XlH%e$(TfY7
zD|&IkZ9!c1QERF(H;n|S)xvDK)e@J*hy@zWNgSTy7v~`hDoA`G6Q$By2?izE#W!UE
zC_h}+Dk$#Zir&z3M6O^2408unq+&%LR-C?b$}@W+qm+kLzA<KjGRqDWe>gElMTQq1
zXJ&m}FV@$!dDmCCnOX>SJ&uDr58a6)c-(29!EroJ>Vxs^)q1Nsu9=t;G~@VQUyg1c
zZ%D4A<kQsv9@u(y8lmDyPjG@0gVWQA8jezr;SxM5`4GRhh*|2K{EpZYW+m92+bceU
z4OvFoIjG!G5JZ{CB9zrN4y495>V5@Lbi0G9sPVNz&Qn=k%Xr$ROWySFcDjge`i@IL
znOih2E8#zWI&o-b(mB0wEDR-{(-$RH2uf_RkfI;Oz~|NQ*#?%2Y84urMHQ(sdf;KC
z_@hFjEKkSEF{MVC<BA(c3#C#C<>bXe8mrZ7bStCwylQhRilA^wta80=KQC@9jfeuH
z<uSx4pldluQ8YM)LQG@r#+bZGb@1TE(rB;=|Jz(TbV#<8ElRj%Yn1-NK~@Qh)Z)-6
zUvvjxU4I-J4JPTr?$*Q8jdFYQCKU0K?KYs9^X^c=U}0iGv9L*DVIqQsi9{@HAT-eb
zZ3diCL`)<hVv~&s_m8g0W=2HGQum6nv=9UquM(kKKr%@|_#?iRJpCiSjYGsD<Xf#H
z@s@p@ci-qn9lq}dGT<!ZLq&SO6E7?o4sVT=?3d#Z;xQ|_>YgvKPxIxub~WkKd<iug
zmWFD&PxJjs!Gc%QXmJq(kPQl$7!%bd74Q&dp;F~)Dqxch0jPPEse<@c`9mj>ucF>U
z!I74FB8Q~TNEu`y78FI2q&DK|*jVAN=zT%P+2LzzH<Ce~#i&nJdlOW(WI2@C*_jI-
z%8XdsuNt6LtY7sFc#-T^rMI?g2&(E^7Coj7!j=NCSfehMqw4&*;}+}a%F^dp56y&`
zL*DBUEh;f=Spi3dQte$BK<Tr<r&<E>Uoo(zDU?Iu>zTv+Ku9k)t^bT(?icZ==|U@0
zBBw9p!k83RpQA?Eh1E0fC#Q$b&a_j=57ZVthJ(pT?a|^yU6T!XM_@4qMvy>R6~bm6
z&LC&2mD*t>aida5(#e$)zFRP(E3?pkq{++-^zB^ekinMUWP&7<*$%eM8@Bsh^zD^q
zoT2Go83HhF>=6;Ybwt_jo{2y%kuEZ5BzErZx#KwM4uvl4>5J}PQm8>IUoJZ0<6Mi*
zJ9;ROmXz(7>u5=Ng7vcMK3WP_KOJ$pp71PsFOHVB&@Vn(;$MR~TDqOjPZ2}V&#lB8
z@&;wmnJvcb<51}$`%p=D*H_A%eZaT9!jffy(oz2y`PHze?9~lBzjhi9k$Ofxhgz9@
zIV%+_C<$vGXwks(bwbZKE{Mv1;AU_YmZ=-(Jm=|nHjwk2SbkB5IRX+sO4udm78~i5
zB}7wo02vT7!K@jde+pm-Dexlt#ZrKO4MqxVx2mo6kw7bNd2uspACkZ>yli*amn?Xb
zWCJDsGs}Ws&<&SD!EPI0jx;FP@5C9r{U|CCeqGNxzeF$?3m>L#9EtF1JR68aNZ=bK
z69g<Q6J9H47b_F&=*K78Ra@!$D{y!XVv-_NSp6SqyoQg^s6*jL<>2X@NRU(P<HJi}
z57NbH5!Apq{;<ZeIl}F{VxRsFt`83HB2*&!t5%ufC$K+o2en<pL-uG;cqHQ+w^W-b
zF^T#kxZ+xfekLiBrJJD0^;aoZw7J^4*uXM8^J&2|f1Q_S!oQ*x;waKkB64cd`5+w@
z$itG|jN_tkgv+CY$g_$#PKZ1!m*~q0K6IEU(H9kQ0D;`j#d68Wn~`Aa*5Kg8Xizy+
z*x#J1ny)6hzUum<()EexL@6~(eHxnBtcv|#(9I3IN%g5J3PVMabU#1Vr<(4a$e1(y
z+j;m=-823sH5!(CLb@|`I9i!jN?*CuRft0;<tvTcv=1SeSKbZyvR<BsU>*vWp@mB<
z*PSJeTAF-DqxRooSitR78nuS-Vw?6`!t&0M+Wj;wx{X@l5Aoh9+=RIcg?2OjVuhA}
z4Mw4TdTVZW7Nv(<oEnq@Vfs*OZ_R6AIb$a(x1HZw3R`s)kunO=Q-)>8HqE<G(U)4j
zJM)@zO!S?);S$EVG1bp^*<0;y-7mCA<Ne~<8V~sub%Vq3Aa&y?>UZGTKooT^KPh!x
zK*Xx#opO$`>bj*}-u}Q8ZqjfN9@Iv05~lEq3pF#yaz%op3@<kFO3$_Uu8eqIWwA0|
zI{E4|&p^-|{zHde6bZGthfb|iik_NdYngNC8a;wJZ#)9FVwTnRQv(Du%KvaWOg4Z)
z0d)vNQ1D?~+;tWgMDOOqp*%YX24NmFB{*r@r`)p?3t-QRVb!com^Wikv1dI*zj)8$
zUkQ6wC;-O(IMr(^^E<diEmybcW5c>J=Z2*RP28!3w3zZp{l{8T-|DX~asPfv^>o|U
z5%=%W4Lk2#{9CMrF2@P8%6cVyFxHc(WPe0YIlp8#=nDUsx^X1?yYXxwl0BYhlt>q#
zut@(cIk|X|o|GPdB$E^fssjjwm>Fgj2wwphLLhvVez8E{UkL(1u9{wj!EQ}`b9cTU
zJ@)oq#ex~W4*_vmoPe-<?n_jhy$gJs$r^J+#TmL`=RHeERM?1fgvLcNY@@dP*mqGu
za*;+zenDc88D2=;ID+JRgAycZyro2n0E$J*qdt*hJ9Y1}ow^#e2()k3XrG4T@pv5p
z5V%<(ZfCP=j6<|)xHV$DTG|J(a2;yGg(brFP&n$Po#Pc?XYrEdc_!kBoG&ykeetLB
zH*{-;Za|PTSlpGLYk^KEUNnts4~RLTOAg2*H)#_Q4-pSnnQJ!bUXZv_Q>o(O!=z2a
zfG#?~<BU5tGv#`vicZTd3a^{TRsEUrJnkO1rl|W$xq|MfOWZV?n{HFUUF1%VgbbP2
zsOe;*zOIeC9*B$)cQ2Y%y4@kJb8vsCb#_G7mV%k_w@Y)5h&#zNOT*Y(1!Lcwm$Abw
z)IxZ)4VT0OjxLy!b8j9Hm6LN9H5!(}GTq7f%BYjm$RO}zgnxzKGbpy;0~5ljtP1QE
z>PW#lg0qq7>Be#K&gzG*v_*ZVU|_6@R_$07l{JeKVED=QRN-)~*=n03k;Mm?W}(jF
zgAI~;JP)_9_xKQ6q?y0cdrVxF(R;izL$A_%td^0o#=Hi+QoPkRtC_qf@A1n3rBJ+I
zPQO_3=3j$RyzkcAyt;tXkJ^1(&uX`dpq^U3r+u<aO3XE2oqN_mW>~7O&nkantkSLf
z?MvnUC6K~~BiTjdsN4_fhMnJDN-DQTo1<`F(8VrF-Hv&q<r2Huep{m=zp`!682%P@
z<0#v|h-U+_+WkDGRBZtgYiVzklZ>_AZB_f)U9!wC?LZo-I<^>3Dn~6<n_aeAt?sR{
zCP(;Z1m#fprxI8t<&wFYW=ioEOO%J1G#}HXu@vY#_BYG5Iy)gH%X6&7+$;nc(0{B}
z4vsX-lQmM5C#$Ur|2x;@>*mxFKQvVqq%T9HzZFFKo4iB{KT9oyI%wuRNOkb*c|cU^
z;6GENVY!^s)xpcQnY-VbWLlZiG)VhQqqmdxCDz9oy8)uL`=qUpq3}^mDx=~;^UtWb
zd^tm}QgKlPS4%pR;-Z9>CPz<-%hkY^P+XouzgThMUxQIxwuv>`>PKC<KBu}OhwQ^M
zc%h}F=-&ELO}1xdQb#qpO*icP>f%>TG_o9pWQBeq4h{6*dZn}Su}@Dnzw%)a72ZqT
zILgP(cs3B_BaT;;${_&ZeQm3pTCB>EC5&5jfaM=EzpMuaa{xmu|6}xvmp}g+%<{iW
z$^J1;0?>~X*qT!cL`O~(2Ay{={#E5pg%_9S<kQao?Y8YpioH@YvD&wiw^~Pvb#%ie
zi*FO_a$XEh;Q@6YM@8G4H3ssFHiNzJP1KDe+Fp!j0}*W=K2j1+z{3*mrE-Sx63%$T
zH*TAzgg<aUkMH87%PbnkN7-E{!~{o9>!f5tZKPP1Rl2DO4zV9X8+@OG=V;u?xsf52
zQGAXChv}Giqz^gWC38G5qM}X+297!z@=Z$fN5}hF%$&UHA_uCxguoVoD({gqNK<&_
zxwN7pwwV}S%eu|{Ukoa?nZKuByv^{hgl#4i0QVKBqE=;Jx@O)$6+LL;1|ycc&n0FD
z9a#PKC8-~kRL?D`zpEQAg+LVxU5>`N%6cVqPV0$Ydc4M0@9`Os{@a5FUEw*@jU$@B
z32Y8TG{^IdlF9-Umdf9f^o*6twySFciWhSFHaa5YOY@Mz<n|JAh#H;ir3XeE^Z6TU
z^oQ#RXUGKUr9j*%@e&B4(il@Wiq^_mM$U#GueY@ER(1MtNn#g~oGO4b!=`twgTLse
zcV4t-wd<|6$8)y5txkuTwmpJ^x4pPvOBclSJ!~_<Ad?YFa3YwS5GT%@7?TrhQ+@~b
z$g(D(9EITGdbLGv!f|9g6Zd~w<M;$QEOCXaz^$gLGr$HF3b?!4gmS_>uM<Ha_jTT}
z3_g2kixqL7Lx3nnSKCuj^emX^nbBFmJ;&)R6Ez6}rsh={aiv#vCu@tCd1hvdWoT>`
z)FAz)&(DRu)kp*d(4I$)hUK1+?l*m`@tbO~p#^OGOM~wC_W<G*c_8N_-Ip`b{rn-1
zbZLeeJ)_4n^s2I4I3RoZK^^I;Jx(LMC(r2nFtpHF-%r0-XXRfBI;&LddX1&rrUX<U
zVbys(qjJbTbXD8irF-j3Q~e8v;>pbC_!Rz3H(UyyQH?A|PtBO5?C<ns^SciWqQWmy
zH;#__F+3ZHjvB`+N<$TZu!j04a%ziHL;XHMHx&M-1Tx*8q8ZX5>=N+S8=hoBeA^JB
zJDuTzMWwCT3xsApu2aX5tEthjWZ%=Zod$Uz=k0VDEz<lhayz9NX53C!W$0CIr;4PC
zZ8L4BYC&p*_q3fp9Z-tx^ltja+bRDV%yzo>c&$A(Mv;VLtqM{w^iY+gGL3xrGC+6a
zWapNg2M!JZeQdI8t>Z_h*P@8hl_g5TN6s^8M?0%|0y2zOSq0IDT4`jvU=oDMwiKPM
zcU(6-En-gOszyTT<E7bolpd>>M0Bb8M;Lh}2X*qEu<_%s>H0u8in^XhvDVU)&%YHL
z#Dz`jhLr(RKSgC><AkNAxM1Y5sh$#fe2Grs7KQeuUT70)r@RP_d~!>&!xYsQd_l%<
zsdh@-^o>Xg52CAqXd+KYUQnvI;L>7b-mecy(xxg-H*Bv~8qG55D^TEmd9K|+8cbxn
zoJRaKLZw9251FPWAQ2j{2-OB?&+RoUhQCR$4u!uVL00=wva)|V)u^833zOwxLzah;
zGFp{?>HGtws}Xz5?s*}iDEqwlHL^u!_P<R(a^;u&V6u8R7#kzvjg1w_g*O_U(5-_2
z*Eh(cHC1j=e7*c&-SKtSCjshdkf%{(#JOKy8zNYmxLnehDb?vN$#n7HiBfB-JX<}u
z5xMI(Qx1Gld>}voKHmjF3oz2m+;s88sO(d0OgO6hZ!%lW;k==K5TtkIW@_>q#V=5|
zexF$9vb$GC{G8!^e9@oW^5u!fF_m;GIL?`|kw|KC4%dFjBdAC@jv6euB}9+*BinYP
zi3i808Z9_GvAA2fOH`Sjqa3-^r`S4q*_-kyS7sX1xEVVc8$bm7sUrfy@k`7i3ETKX
zrt3a)-1N`b{cESC5gwhhYm*yqJjr{9eOl02hAURJ$&>v41`_q*7!4qxVDILI-FP#@
zcH-XlHHWWw=dfu*${cQrox{fbgw}l9>7j892Fxx_N5nP_q##$kT|i^S@z}T`67o|d
zA;FIjOj<&Uj9z$1@~Ht&e(~T&ROTRQ^i)0VEyxoOLA4bHQi9E>FcPUaGAb%!ZH4f1
z-i+MBiM-Hx={WbM7ErKmW`0a8jP>f-mJRFFD4S>$XAsJBKRX{gh*HIWSf{6XiC5{e
zXDo;eyb#RM?S&|&yCLkVuu_uPkD|a{3ShHYKqNb)Z~qc%G%OYPbZ5k{w8&6XVL!=R
zT`c){vpg%0`J#mjGAZ_@%%IzezJC?+C$?<C)l4>Q+_Aa7>8*_?e0NdYWHff;Ut{gN
zJ*5ebp>Q2TW`uo=fKi#Zi82|TC>Qak>Fks-q1>|^1o^?0jPw9C%Fal45yl(M8cNrf
zrxhO&6U|~PZ_ObAB_C?maG{lydQl)yNHJtVkJ0O&-g}3fuifs_P<{cy914%-!7KaR
zrkJpP{7au3;XfC<c$rltYFE3PvT^*4WZ0Fm<up4a`P`IjsM>pMcpnOgg|EhRgvaeQ
z^ou=i{LAZc%LLvZ!p|hufB0$o89hSasIc(e7a))PGB$8d#z04}1$1xI(D5%9x~bI)
zb3G?5y8h0M`(W`_gQBpvYV{z4GY>w$r)2o7Bs-5f_yD!#)b@pYJzlmiUR`b;X^jR~
zUw!mA{fhPJEf*6|Dunt|uQuLtKLCW<qbD=J<HviSZrFL#Vhw{9l$6f9X>CnEISZu}
z+OmBdMe3hu+{C;2PE5^5xLo<fj$)HDcnv>J-MD9dnuCPHafSLj3c+VmAo!W7SHwc_
zU=jqz(YVIpJw{Y<%D5bt@dx5@_=B^Jh1NOqYK2w&iURy~FTi188M*hY%37pTJ&L{o
z?^n?j_Ly;Qo=r<ajU@hv4)&;bums1Z7$#ZdDI$_%^B)CB1}7`kN{vIySyyYk(9bBW
z7vJMspkBmWfTj_|EEm#3p+@}~9q<b8fC<PEL*+qE`nTlujav<-W%%2`^TK(3r<R95
zhXjb>-w^e16kElPD%K!7=iVc^Ce>$p%k5>PXxS2MVFA2lJd3z7US?5MibB>`$bJk*
zm`A|P(;PxgeN0QZ8~PbKoLFPlY<Mq?B4kY|-$V@9ywmJ=z>V%S#c&3rs@%Kt*Tm=o
zwB*b92vdIs`f{CRwshz$hx2B#Q8^htk9u9jf6d@F@5%5vXxdqU2UJ<~q*6LM=imu4
z)=bwbwf4!E@(0*i>nC3t-iD~G@D8*Rwhu8!_#pL~7ahb>kKlBF@o$&R?!;ax8ZHGZ
zgtPcg-WS+TKcUJ*e2^F2!P!UQJG}FnjREUc`g9=nofb#oJoPse9+%xJ-7d;GHr)xu
z6hN^=P#lM^1OEzr{EFa?#_T-IwW&5L$!@%ft$*Q<y%R^5!L~UZT{c^#U>kz0@1@UL
z!M!Mc-8@#EEETROToLT5;U+tkz(&ykc}TNumeV-NH>1J*u=6N?)TYvgpxB0exK_Se
zJ90C6P)VTZNB}9PU?5Tz`Py_9nVl-tSxPI#iDhvkhjK^JfhaqLWhVe5c&5xF)tG2w
z?IHOrPS@vE@kaSwP;N88R8wuL-JadDe*N*|$4g}fw$x}ISwAhN(ptZ3=N&ut?Avh-
z07mDkK?^O8VDLGl;cv{WHwQ55%ah1N)mlF>-I!Q^Y(r@y+NnNx$ouNZct)wTo;z1-
z0#(R*27?&GakhZz@^LD=P(ISElDoS>^F7`~(d7COoLDptw;>;@fMXJA9-6g@ISLat
z$X2rh&g>6>?s7d?yKP^vbKlzF_HFxi?i)oP5A583*WUZ~2M=t!_ug%L_V3)WFW7r;
zaL3*~+js8Yxpxo#x-;0e=b6FXJNIlK4XT(eXbN$KbX>R%)eLH=s$OH#2m7ibQ<nlj
zB~wy$>JXn?KQdQ7QVovaK%hza4JZfLOsyqKYr^{vfTn9RH58)aVw+u)BGPVM(EkXn
z2wUFwP7mjQ>A^Qhe0}M`H=Zu;H~VGh+ouN&r(FP?gtULLBkjYtVzbqn&DGgugi>?!
zG|_txt1Lh3fReoNu)=|?At%G1LmSdm-Xb&=nhhTot-zw8|5#Mkk5XrS6V19OL8p+=
zM-Ne)ysZbE{Bk@_4!jE5_UV<xSokc9vFv{&jg?3@EPCK)PdkNvv{x#!$baKxq%nzO
zPB>Uge-SNPaU&{L>pTKN?}Sb#JpWVW=1ikrtKg&n>I$wwLDQ(zSX-p%0Q`X%l2T#s
zTpM)-0)&1*oj}v^gBwPJjfcid!2^xvQD}=$O(q)93lZnht_hotlaPwPr^^%7X%W_<
zE9jOAPkwUY&asU+$K4b>yD|yo^Vx@yD(lCd-L9T!H)noKL-PEBd@WxHpq~Hym@k8;
z1gg3EiiX)TTW*$T=!kcW%}uh|_i%Y~n(|z|_S`unQKiUE4t!wkmQ3JQwOvw;%g~{q
zOl=AF!<?jM;sK|RY6KHim0uOgA#^`#EsP(s@3-}haI;buqBCqmzwb!*=-siEioj}D
zSuO}}z~F83qfRHu+a_(4qp)}6$h1)&xD1@QPz-biGte2#KxcF_kbLbjQ1_Q$AoXxD
zFp%Dn7Zh1PtgEe?t22wsi@=yhT!tS7Ybs3?oK9XblbhncZ51+$*>*fe<;4+6g=3`g
zJ%~I(hKli-TBX_GA7%Q%a&TN+qo__oWNxn>E<;SpEXk0j)X)fvOX9mXORtmk1?KQ2
zXGKPr^>P8DTGVILz@}eb(qDBt$h4$sRMvgZ8nxA4`YRQt6%t<xsAY^k2dW<|98}?>
z)R({%9K6>+C@D&J01K1Mz(RjIu$+G{+FQqX`7pGM*}-(#kq=VwR4^>0z+0)9%5=vx
zyrM4%AD_sfS{ikdzloVg=0*5KH2wm!k{_oZ!Ro}PYQ4fWDU==@ho6FQpu2KmS4MH{
zpho(T0gELZhPPQUo)9tN+O9{%a9!6kOA`HJdkT)BsmAnVfWV<0)72RSb#T_4`7x+Z
zC?d+Spyn%bWL4lQtHD($d|gmn5D!PX9ytclTRYfL3U(gGpQ`Ixt3ZN6q^ZG)+f4Zc
z>44}5DiJxu;4<s(gPF7#jagcyJ5?-fJ<;67JY30)Wjk^y>b)nWV?FQ(UKvAoETLi}
zm*}m%q@l8{wy|l}m-AfqY`2X{l$GOx65^}}{Vo@On;v<#&vO9q^S@N2Vxa!<(@Jqo
z!OrQ0BZewzGH57#Hgkv{@mC3EdM1DBUz*o*+!I!1aqld7SIg5Q!9KW;;e_QkFd%5b
zA<(Z0>q`}GkXk@=)tpTY)PfOzXiPKrJd~MxGOd+2@bti|v1^6i+We01N;&7Kq0ikC
zly%2Xr|j!_J_|<K%_99+l(gGn?*(+ws17|OVIf1I>cx_E8TX^;D*w``VZwgg!FBQ+
zG7<KpUc%B_hp<;$giV{FhP;!f6$t8%n@-RV=Ow7O%kW8JRo|bXR~ZvXyLrlqX}Ci4
zdOLr*U?HSu?TZpAnImZPlgh_`0fsc?!_q32<I-eV@+|FG@=rrx^#sJbC=WawdU-xt
z_)hc*Zi!}sdx6n>j!0m|OI0ns$TK}lUVt0(Oi!V^M2%8(Jqz8d^l7;ONC$TS0uhd3
zeGvuk&dlK1kr5*HA|?)k10|+D%ip%4=vCV%JJ#4<8H0d_q44%}+A<H^n*N>Q0YYXj
z9`LVqdF9=h4l+TDvF@L+vyP+R@^tNa)j)>a1&xUi6^?`y$BOWMq6rkXh&V&xbLpR~
z=A!MvU5CaBPN=TErjWV2jN(zpYVG;4X7$M2G%oTz4@b(`^2x{mSzI5(!Et*Yv9H;x
zf{1pdxRIj)v3i1wxgddeHXOC-NwfPz$wLXqzydEuFX*pQ*oN;!E`Rexa~DgeS7&A|
zC#3i1bi>741|l8n=92zn<2g;BFaBi|lfR@95+BFwi=s8i4BtlGM8n?0m*d&OMJ{s4
zA_p&a{G5etl*1YYNF3+&3OUKxutsY`x>;E)a0eKPad@sSs?e!8lZH4GVnYV*0M3S|
zMPy%nXxfB-Kp?}dD<RJu7Z&~uwGg>&e@{=_uPn(+779z)!DGnDw-{9Lq7;j97a9Hv
zgNlm`e@(ymng#!IFER)TI4l8%2dig6e=DM(#-<ysR_3fGQoM`HW)SYz(y0}M4aI&n
zOMGaD$T9U}428v~Tk2v%NsX2$(B;nRk&SD$Y*dgF_|@*~4pU~SuQcO|<!v5lwqfD;
zHA(h(p7AGa{fchedE;rg@^F;WOO{&AN~v1MJ+5kL0w<AUVu9`AY}f_~y#JV({qtQ6
z@+M*j?JpN!h|R@>(nlUc>6c$cak^~3SC@IG8@NC9CM@1F(a5Lp+u`(&0`XV^3lUB~
z?1j}EPJbywY~3?Z@$+&+R)0p3^AzuZ3E}i&sAQeB8#(FUQaHWg;PCsz%+99t4|q0^
zP3e4hNvqT;5)9sm{!uQk*p0|eH@s!r<YYjc7>HocVhi`SXHh4$P8vEAlT21;s|b5V
zMJJrO^8$e@4Uq~mD=T#Me!9@~4euq|A{yOK;^?gv(&ZPw_+WzUmh-~W(}vK2n{djq
zuYo)-LKFl=+W3{D5=REotT0LfN0G{}N4Tu)M70p15P3WWeS%pEwwOf5i7JANK}&Ls
zmZcIA+*L)O@u+y&tj<wtivqQ6QQ8?nW{R<>9X^a>46b`iG!Mqh<07ZU1WsRD1Ug<e
zYaG*27#H$WOlDky7iA#To||HT@d=#Pa_V5QMHZr2agJ82v*1iB??zrfHPZ?Plny`e
z-@BF;3eCC1l7k%UbIe(v(X*JxfWFG6I<stM%Id<D)6}mksuLJA!kQsZIh~-HF4cn!
zFijYkCQJtm(~tE9(}mq@!1UjVdz%XFdC^6rkh$7kT4oHM!z=ol!^N@d)C|!{_#kyA
zUS4=hUofA`yr5)=1*`KS1B@Qt_?^CBys>AwruW27?|sC~JXxzDLzZqIJ%=VN;u_<&
ztIo?UL5&@yP9b@?%`!<_7LL2IxuB@Mi1C9?L0UB3r$FX|>NFA`jME-8UQkBvC|Y6r
zsUclL1-f@IuC@&vw$I_T9etMraZQJMQI!zH6HEHv+B;C3Ji+3gt-W`J`B5CsCmfcE
zO2_2_1!_&7O$af=^IHCt(?KQ~Nu#oiyfhKJW|)rWqtqF!R8&%Ph&N)s+}A89zfUF>
zFbgGflb9K1UKgv-ICfpE+;O6eOG8zWw+nlfd7wcI&%TfK+q3AOT)t|#Dpx0szJ7ds
zT%_MD@Y+Mprd_o5C{dFzb9pJYO8j(0CKrpO`|6xEuD3|~si9_`d~71fl+SC^CV#H1
zO&jf8S?8lK*d&>Aja}&<``VPTH+PQ>@{Hy}mqtd;cAyu{)+TmlRy!|3?3h@|@a<jU
zli@q9N1c6?pO6HMOg$)U0%RZLoP)}_K|E5PXmQTLD&?;mqagL7{1~~tWQIZUfERr+
z{7rkD$0dxT1VrL{jn;4%VQDCQx`Qmg=zBMSFk99IXn!Z#gS9?nK?n9F50*B#Iyd(_
zdvH%*eVADv60<&-XV&&EO;bL=Q}!e34+&8UJ6;A1f2|9rcVrmgm&E|LW%yJ^6)GXB
z{Du~R9s^+}+02#^egXBOL>#h!x;{lnTxSc37w|N)3#ixl$4*IxxG9nhQH<@Sk<9@V
zP_0mDyA?Wrw_h3Z73f|_P)YYkpl#WgXJJ!wJ?<?WBgN~Rf(*yCWEdGQ;K-rfta54Z
z>Dp1!$Mk81aYV2xE^lri8WO?0d<~ed{<aFZ225TBH5yzOjoF~c_gE(8YSZm&0M__!
z(hy6BYwhBQ@Gju)G1`~mcBss?kR`VeY2O+#w*Qvir)qY&PCvbX2oF0v5Y_rt+c;HX
zv0(6Q;Nac%Jx*u-)h(@Lf`B!^sZ&KX19j)rjhTw;b0fT@kbREDU<Pi+_9J~^`zmJs
zbZ*sBA0?T{i;><UW~Q0t!o>-4;lS09)U;kSL&8TVvLKQ%SDtS1B`Z=IVAD<F8h@n?
z2Qa*J<={?vG>L?FjLgC$F6hFaNRiI%<{TeeBBr^H)lPBCFz6`ad7fRB(u!*-ha|)d
ze<eDa!3rm1uQfk2(LlZcMi3c)6UdH$Pw|ude}HI$ynx&oL7mE|+)2LZ@m8sTiNT7L
zj?@Vx+J<iuchcatmSLc>MY}QEm~I?FdIAuFE|pO4N7;xij3XXr3{yH>J7N`nJDYH3
z_@*QN29p2IVV>x^FBmi{Moc<L`-;<1rZrEa^P2zg(x#$og@0&iPe*zJ{Jin3@qzKJ
z;<abx8-b~iac!8jz%umFzPLB8NTG|o%%blJ38K%k$mIcJoQeLp`&m`KnEvU-L=Tci
z|Ee+3S<`BXl<&eiXF3&C;^YmZu)0pz@1^y=ol?*gH*OeF)>%PBheY~{emhb;F;ZYj
zY4^usS9UTQ$WBI(QDIyBaZ^cjp`#HJY{nBK09<MB(X>}r5<*2N!9OZj#Sb|ioF%d@
z4@;@UTvwox?^NG$+pbOEz5^?;?elFT?9BMDEVL=Su5{pt<V5hVlG<LZp^5=LstSkJ
zsCfrZ0G|X_=qhF~uCj5D)Aov+OYSZ!7!gOwl=+CX3(Akny%l&QsQu*tQId^o5Cl6%
zcdFnpo|%{|lh@qZ$Z3OSfaNBQnxJx1=hI51257;Bb4=t<YEM<?Y1DN>v#2&ju<4|+
z8}=?RLJYk-3*I&8y2ariSJTksP||;;dSU=$S$&7oQ6^1;MrTdqcjBncJIAS{cXX?Y
zQXKEPXl}Iccg4Yv4f|9=kKwX&Yd7UHZ-q}u5C_?|!sig5;Ko)ScCmdE8<Ix<R?e-E
ziV(PtY`qooMmagK4e^00Cyk3bJ-W6-A-CX1LERS1hdN2l_j+|YaaWus+=^ZC-*fGX
zKNKi&<WfBkqp1xtM57!V<faHu#$01gzd~eJFp#vfA8AR$vi7HQ&1to`%=A;#Xjp}E
zVR{R4i@781V%(_PWn#Uc{fUFs_3b$vU-2H!b!w0d@!m2vQPioL!rm<+!&;-fbz}dZ
zDZ_e}-h${JPQC*&+^NnDpX{>x5L-QsUl9GsO*nc1Q=KD9q^duo2z_g2gxdFL?#5xH
zNjFM&pX7z*H!=HgXvvoze3fP4Gxg}LZ3W=FpIijE(->J4&|pQmcuL!#hQeQDy!$l|
zc@6k={HgyM@FtZGnl9+yN8t#h!IHBGNhK%g68+39+|?7cY246(t~xy*%Yo6X(xA3^
zpmENO@uv=BBu^w07e2yMOyWX%>u}*!8Rw{>?qqENYP#d4Q}ZJXe=-ti!9}R)?NZ$o
zeRYOj<rPMfm>I9Hy&yxc^7@)OSW#zGeyHWe1{HOy1$YnDBhG(7U2C|2e(|*i{*`d8
zLEZuA_3qj>I*1TAse8WEkgfc=x^1M#>*HEO<cfrZp7R8u$P@xtw~AyMN-)TZ4%QV1
zK7JAHl*ME}(o2UI{MDd?y#}Ma?!V@6m2TU4^P;`xpb+6)ba+BCMj2`Lm4{{gt-z(Z
z@nAni1gH2Wirj4)L2=i@5<>d7qLEMWvqSoC;%}|{4y!bW$XOV8Q`0~^vlnRZV+fq;
z4O<o8ow?Ofg^zg0@ZPGBBVB|74=V3XM`WOqdR1IHsyY97m%G&>Iv2I(W@j7C_E>8M
z=PS>h!)1Zi$(NFxzYyPI6A@q}OH40$%(hD~7o%wNR(E)Xe<HrJ7cXNH<-Lyb2Je6g
zyeo#vgPinl={ky$G~tZ|mvbHENq9Dp>nIo6*HNS-A<rZgd=P-}{f8?gu2L_g1luN|
zw26+S<)IG!*i9ppH|R_0A8JVxewaod3O^))P@8&GlE)>#Ujjm#(fdJ-UMra9-jsM&
zSa>2Tm*Osf@hOyiggdu8jJE)Vnq95NfqF%TzKvk(WcnNw`lLglsH1b`I7hUN=wQX=
z;%_q$Z`hx4I`NWO<;<j!*~z&sD=IX5buu@JnPKwkrd32?*?&&c5n<V}WWLV0)KmcI
zZq9kMYeB<6zm<qpin7|AQZjW@q-5&9GqSTsS*<t#6vQ6M@z^OLsGB1psA6mgkWEe)
zXcnXyn)lKg<fqZ?nPevaax^yN&lVC|jK+k%P}HnO+*e!HtfqL-IV7GaqRy*f8Bs)f
zq%<}rKV^-HYq9c2;-2if5fMwuX^kx>Ed&YjZM90fDUwvS6wNlGiO{*CF{Bs8z@^lq
z*ms%=VTl-HC>%}XkC+_Jp^P1s>xwGj7STQ}cC>zKF{Kc2Ec389`=D~U7K!jAGm)sZ
zBoj3=A~n2K;CO2u9NU76;^wz7g8hP6Myd*0c-MuBRJAC0rJ!IW2KvE-*kls}EoRIi
z(xph`bJr)vyWg6dQ6~=4+FU0Qw+Z}xDgvet34$EVLlB4QDZu;zfiiEv^pp;mJ{72f
zP@Z1k0S#Mk;?)qPj}atwfz#<cIJKGlTp+Z@2+hRg0{3~CoG2!k+}}!uW3SBsiwwtB
zyNc3^Ee*1#aO~G4;*dA%lsg-nBX>4_o~MyrQFw=c?37UO&5=-WF}4@mHV2#!0x48N
zk<^zC4s77COGI8^36YAOJJ>Q1!Iqp>))#Ck&R1f?EKxO})h_fOW+|dG3PKpP5S*Dm
z&XVt=BP^uQLew~gY6#OJI95Yk2|a@~V(g3$xpsy+c*+!}dYUl@iGzEATF7+%U@1>V
z1~&e_v%;bl+N=(2JVl(M)TCJz?wE00CXEinaAScp@Tegx+ngVD(Bj_(RGkKvZrJtW
zf*@T)XBI>kCJ3U=7mcB~Xv6P>o54Din888xSYx)Of-6Y<I)T8lF3SRwV`hlP9)6MN
zBBCrlmn+KRbi`oxF?oj_zm$s|%c8#4=b0V7oNI4*k5A&W&+UOrcuQ~xf&u7`0LQ^g
z^%0IHUEEM4?iC&<@mgkq<SPdS_sRh-6tw7O@bNm`WukpUMk!(!LLEokCl|4e(mRa`
zeh>vntd7Unrpi=y@i<D*l<O*<P;NeK^iW!MDi|TR(3q<R1+iqz&U9XMmWBWw_YLs$
z9}YdDQuDkhij+)SZ7l=KAY*y+1E)hT)s&BmpkN=@A1zHPkkHn2Fx%=MF3s7jGjoaI
zkj&yfNLq$}zZAv2j`fo&rf?%sBztC&f9W%|$p7Nf6Z!cNV5AO9g&~@Hte-T_4<^O_
z<Iu==n(FwWuZ-~9;KS&y%{3<(Mz@g~=>sV8?JYzxkjL=}HpLn37Q2QgqAkPO_ukAi
zvm=Q<01t9(Jlow&M`)9=MFr@s%^LXbJZBb0qPlNDa<_e&d>RVxVtD);lZ*`7!Jqo$
zyoN~QBizdx4^m~Ir*cz{h7_hA=FdAANrp5N`sa8KN$97y4*D;On~0%7>}wFh?J1oQ
zO@=IadUSN3gAm_TaWzB?oYo?jHx=Iqj#lS!)toL>iW?oWW}ytki^k!V3ZeuTqV;%9
zwYC(>M^GL5h`3mOP4EC^ts^B*EIH-cXf}=^(-1NanR_fkb1UHBl3W5J$(^`aCE42~
z)T_0jDWJ+XT`!fRp|6Q~q|g)f!Z;5e4nXbpyaUB@STs}tls6AF8Cfj9%^`j=DKc@|
zo4uSyZyip1`odAkY&e~T>=k_N!W~tS&mC731GDM#-*c>o1~SI^?>T5l#yPRSG{{{T
zK-1NM#f)YQ=XompE5@0THRQ3uP@h;Jm^Uap2API4tru%v`P-(>{k(B|J!urIwx1dZ
zn0jAaAWU3KxyjmP&UKl2^&40^y|qup$VCy1u!PZQxxhvXzcTPJZoaWVxQTN*xeFkD
zb9n=xNzopon~S$g75{sChF)d-FR6MN<9|yTdX@3N%9F1SMf_09_+J&|q&3eT;(s?i
zOU3_gre7TY%fAK~|2sE}wB+!+=c`!(1q{a-NNS!t{#T6GNBr-Q9dst47yq;pf_>GH
z!WGEDzVcCYtKJ2q+q-9U+wceb-lf|v;$UBe2q)Ngg+!n5J(=v_(dQ;qHv0UMj{ZA}
z&Wc7!j_}?wH1dfQJAU+F#&0P^($FV-7Qy9&NZx^GgAb9E_$Q;9LL>zs9K*MRV1n_U
z8X|ck)VV<P6EtRf$k^R`2b#L!%Lv+`@FfyxB`2fnWod;}>ZQTtc#$TDb(TAYvs`&C
zR4y1dX*by{>J@AfalUzs%n}Zi!bwx%7%BvjN<x0@a&UXOU76a`XwFbUB$-!>0{2vY
zZ=Lm;Gq6*C!V_J{o8OyZiRAY#<jU`j6s-hTNzP6s_>SfuPfPF}BqsPK3obsv_ve0?
zF>aK*&JXuIAuL|&2#ctR=S>*>kkiyFXOuZd<MDaNGS2p7p;|u30Fx&{^l$eCQ+IlB
zJ5(U<Z7Q^DoE54LlFp4RT!RKSCqCNOEL3*zs1z_m==9;v2dQ)Ma>Hl(g4xLuuJ^Q#
z^CAO`9`5+(zF>@|{>~#c&2)P2BWC7a1Bj1>UqcfXaq4k<XXhb~ejz6vx$kO6>J2K8
z&7l_6@)2A%ub!w@Pyq=E=kUH-r;Fs1$Vo$fz%o)nQc^jwcT#FNwZ~G1nC4ua&Wveq
zJdBKW6wT3|nrj7<4Ne|Yuc9B5N)E~13Uozy8a9tLsLUz}m(St{RMR+Iagf!pW%N(h
zgCCn(6#Z<dHTct<OY;D#%6(o!jkK-|ksfoJW0bVcw-s-|KYbsYwosE}k{yW8@DAm$
zzz-^w0sE1O`H*4=d?zACk@cu<bna5Ht^0E;ZMjs<YIWS4K^=HvJ|th|l!oBdI%$Kp
zo`@`|t!lf?k0~!JeYo{bM7mWA%+^>Ae3wJkYmw^&onUS3;H5*6Be6beZI{U)82z_q
zA>IT^naN^%s9%T`AA1yaHM)}<Z%k?hdTTQ)mfX9S8l9{iZt1~}HSf|Os)}7O&KY+N
zA8PO98s~+<1M|@ihqRg0G#3`|!!`LBUo&&whB25(+vtYEb<ExVsY&M~Nv@2}$%``d
zDxH%`U@N2B3vwu(lRLCN66gJ}sxB@Uj=i{=i}Qd{)LeWX{bJ`N{~C;Q@(v1sVrv-!
zv1j+>jd^P>su2?%l%2OM+PnM)c6RW2N<&_0`%qQ0;?+34^;U=EpfvTlGBBbK^=f31
za1xwiOZ(`$@q1KXsoO3cl$%PCYaC=Uwjx;*_yh4cdeQyNs}*YTD~iu|YMjKmRK58D
z-hrmrmW>zpY@)UrN&FEV?ET)s60W$5VUmTC?Z17S0LeI<%^7;$`~Uyj3#%6~pKuYQ
z>Q73oN&Oi`&KJA`CLl))l?OTL-;#6NES2!B1efF7ei@z(#JT<0I5DD2QVLMmpZYTr
zTe0qKOM73xy*i83<5YHFlq|SCd-qe7sV4>7P!d4IlyJE0an8<XT@_iI-q0+iPL{8M
z*0Y}-m0nRjX|)ZBT1R}iB%m|nu_!#(=`1P=9cQ_6Vi5$aOUIqpy5J@Aii+avFmo_P
z&XnNz&RQrqLMjl7fUv}3I4qk2QNoZyfmlz!Sb^YQ2?|6g!0o4KGiNvw<mg$2$bG^o
z$v?GxPy1w<P=5`0Y5P5jmpX4ftqOz)ook7r$KnqJ8ql?E&ho5)Ptzb?XD@w;VG75?
z{qd>tY;|i9F}qfP&er?s+yk22HWTS}|EAKu`*x$je7!Q&Y}Dlmi2ih6^m%FTp0Rs(
zY}-!7;}CX6CnnXV%=R?dp2wJ!`6=NDSWU}10+x@WVtuDv7D~I0u2R3kvO~9BLL@dC
z%TFx^@(F#&%GhK@a$2ejfvQBV_##TiaZQRiJt<*#el{BU#G$Ra9N=#)I9DpRmoqTH
zF5@=}TKQKL+!MWk+h!0P)iF7>)Qi1icr_$BQY5w1Sw*qZV6W59=zLE4$Lb-ilmH=l
zhx5|r%1nZ&i*S(uL#Yf#o<%49>)uHx@Z7KFBjW$`j^QPu94SJ?OB1ECVpq=>(b<2@
z4_OZ+7XbH2^7T14l`i71aXL^4>3SYT!<W2hNMM4`=VO9@^^W0X0y$EI2`*Pmkg(sX
znWugi#l#Q%Q1-wO0{9*o;(S+W=%V;J))#8dk!R8QJ?@ZF=sa7@tIs+EK_mFj)H>86
z967|c(VL(SUWC>#hJJ9im8}oi0Hu`a$_sd<cQ7x><wy~dr{)FR>>sZO;t4Q%BwoSj
zcU@###_ts7<X=%z?efkhVNu?dk3!G#j^U+{94Q}#ru^geKp_D}9tx#@OU?<S7Kaaz
zOmLhNx8m7AoD-4cgi_g8k#_<RHiU1Naw^R=u>pa1xP#n=ZvyvHgfUYJ_9CS;=bWZ1
z#&ndYieSqs)liS}H`Lr4zLKas6u!bsY{z%NC%oGj(>%eK%f>#{*0S^!K49s`kSm*|
z|H~LsSo&|LUu@~~uOv%ffZLCy|5Pd|IoY$3zcJ4_0S}dUKp?h*DUbL43CeaBFmp)X
z7+VS5*6T7km@r)BUz$PKv-AgE?(o~J|5LZ^{K9E<OH}JeYW1q{N{EOhKJ_li>9ae+
z*s9o<QTk8dOo)EtMDBiPY_aZlmvkb}qL}@Z#*Sx?cenPxKqKE;vrUyh%lIwHQA4Wm
z69ktdM}HU31|mn#jc}{>?g|)K!n}{b$r8ML>m6JZ0#$JMa-R^QEv`L*2TXPmQme#h
zP@~%FR3fU{RHa`bQv2>llR12pU>^#<C#Mka_lc3Pi+s5-UB08~V!7DA%#m1#Dk-a+
zR2=DIBbo@JD1dSv_-mXOBMN>sWyRj{0%fvl9IG~)xRV*wIM{hU;Aku4kfmMnnhFt{
zBDz}b>MWdg*GyE~$E($PK@eJ8&VnP4zoED-@tlIhP)@YXfnxPz4XV!>4IG}RB7}<~
zbP)1YYodgx2_7R@se?!!scU<gvT<p2dTS4^Dm+Il48>K^1B4Y4t6FzuB%5(rxL@RS
z5p_s9jH!+dXk0!vIGZSDdhCe5GeEYRDyHhdk7fL)>4zb^sxQcXVevAMnP+D)Lzzm&
zj2V+}>WhwX2U9NFC))|6k5iiCRRn_wAB`1SEwzH-=daQFo~L6$4(wzpBhvW@B|jpt
zj2J5v5zj{=1HpJ`!$Jqrf}W_4?A^wyGrl43;1&brZws>C<4~jrvGFXYi%epJ#$~bb
zRE?5qD?i@!=Gy76pBPMJ=A@NqY&dD~p{?_|@V#2p`#MIAhNU)lH~E9Q6O~vy_scD%
zm(nlnl((B{gWk`zyY|u1n+|rR=jsMDEsBEmk=(K6mRmhBi+bOr5=_^yopL+q*PuO>
z_f&lZNEVGh@Ioz)Xwr>{BCY)87R+W@@c!|N%qX+NPQL}6CN}K!Wr}%YGoa90I}iy<
z<Z2s#1~%t8_{eP=U5@9DTWHlg<~i0w(>KrimmN?tEln2&!2g6~LYoo2UoHIH-nT$=
zyRC2jG(xEVzGCo{CWwZ@pJsma6ITX`k{rkwDB8-<s|*xX;!i1`UXWFs$NRJ$6lY{+
z^ZxuZU=-e;f1zLO{o!8;-XG~O>9va0UF;$lJKSu{j8z)-!?hzldx5s*_5#_%_TdqF
zQpCo#J1vSSbvuSG=$f{&BVyj@)xZ*H`B+pKMw!&_Fgi=O?Yw>QI*e=#o@7tSlyM#{
z7btc8Mv=$HWfXaQNk{z|#ptlcN)AWSrD&AZQFL*}Z^=<)NEAMn;Bp*Ak77{{#8Gr<
zA`@$;k${Jt6aNJ;GC7TIyq!F|!e_)D0wg152LlR?*4k52gP)z9uE8J>q=k-OX^Sf{
z*eJKS9dQ2NY+YzFhuaC2L*ec8PoB$GOK6!eU2c^Vgdt$kn4gVP%-iR2MVnJ)jRNOz
zAc?C2d}B&bXPiZnlvoGXTB_gLL%Pb)Xu&QI3mS4LC-Su7iXTc4iJN?i&fJBFD1+u1
zAvI-0hpdOE=&-0%FG-Jo+PFpqg%_qB>8tP+A&)Tmp~yQWjK=9knXU;|g)2%il&Dyb
zG_!NlfJFJWthvftR^X|%>DaK8uq<DLx9)LxE2?N-=0~rR{y~HYUwZHj78$<u;2RIQ
zu{zIk290h82@WQLlr6<aBo}0-DlfiMLszrTGf-Bq^v?gvJtr{GshLq8PVMF=uLj6|
zm}d|(2tSOG1E;`x&c%budZtFha*Ip1o_9$30K<7Zb_d!iNKUBhm^S^&tyZG~zcgfp
z++iT?SR}<>vs5a9x-TFGGRt3ByP2nGTf1A)D&E?~3toWn)~+)c1lG;{OxmoCzPceh
z%7HA6C1FSLO#M<x*-`wdx65#aaJ{rL^eXKrwGeXIQA)ef4BA6Bu#W;pVMqNj{bD<c
ze+|Ztx>=l?^q2>1LmtzKM(V>_(zn+bVqUp)Z7uEg+Sy`Qagr|n(2UJ%^ou}qvTo<M
zi$15@c3!_I?IJOG=N$cU3CLq*!oIDxTzn{$49hsOAHz73e@4;zZH<~7#?d#>D64Vw
zb^g{0#$MLT-MTg7KI(fTxXwXSNMnPS)Vp=V-oX+=(!?;y^39Gc=)y_wck8b6!s<oL
zMi(*aGM(Bhj~?e+h*5^Q!#iLCa>P)1kdyu`S<_}=hhHN`cC6`7<Jmy0>D9`b=7p;Q
z*8~V`sC|Z@$r5#Ol{&vdx)mf$p%X7<UrjfT)GBcLAFG;pwPM2OtW8H6XsU%FQEVuj
z@)Pb##K2l{usHZz+_I9<T$OXO?cvUU?gtW8pn)=kXUYhGXh5^%AQu@bSgf9?RA&*)
zfW$U9Vc~cMl(9J0z$Hi6q{!;gEYHp=EmVh0;0Q(q8N!lnN@Eu3t{ZdB3Su&lU1S{9
z0w`p8tW{~uQsJzTQXs=7aD}olgQyv4?b-m*?WxN2+$2Wi9#ru6IG)2Lg3NT3?PL<R
zGNLvnb>N47IV!h?OFCy04vdy7{{|Nvceo&G#%4T~e$eT}uK>yv&NMP>#m7$*O)PYr
zHV{%NfCL{7=P2L78s~+X4(ms+>Wd~DbMvPezSBeFR6LwZc+mW>aBz<G&;Y>me|ul^
zza)NznK3#^U!=|?QzX&*`-1))1O2E4a^!IgoXLBv3jH`nU<sFl5w$TTj*U06vl+s4
zTo))F8Rvsg=^m6$GVN}}c89o+nn-j|gdzMGd}vL8{{-NF?O-P=v{u{0DNZRE5KM>6
zD4%ya%Ot!A0v2AY?fICVJJIK<Ft5_6PynwGu0huW_-}ndyGDsxg=no6bh=)}z?_*u
zR-o};FpB)xl!Z+dFTns897e(A+M(UqMp_m2x46JUv$2b~LhOi?GLG~n5pLM7>9QkW
zs3-cmvdHKE4zoMIEEGEBXo#|4#(ncrrxQQ2<i1HGGwTh@P|AcU8`7qH7&Dv9gr?9P
zMLmSXJO&P%kr$kN{>kFhGAu4w@5OLs%(HW?XPv?`%1vAmrl?`X{PrU~4_>V|=0chD
zK3+$ShNVf6;C&3&S}-Zt*L6KJY<b|GWoMirY-kbSgIF6`&VgkD9c!(p5S{hyImAWl
zKppu_t5hJJOfczeqos<o$R1&7%~2>d1=b?uEkwu<C8uj4_6N7=kw|g6ic&1sK+sd{
z4_A$)YAFZ~nyyu9ZN%J()OM5rj|~VM{cu6ODJtel8T1yd<73Ol&0B)vj(hLjd+++q
zBf))j5%B~8P=k^TM=<H)C50e3lSl=Yc#x9>CUiv&DpyP5K$VW+@*b4Kn5xG_3*nR&
zF;1=nP9E5H@1C7|p0<9|NO1dfqjEHO?i>m@A_FH*T*>*}00)+XiRp6vDD1>~_2yvC
zAa4%tb3$Kf&)m#2kbAS)gb4&u`HXoqMBFzdW4S4+_>jq>FnXlQ89mW)tI+1aHE?d>
z?rIY$US`UzqqL)x$)8A^+MpX&l?J4Bg$xo3^N{_Z%`Qqx4TA+{E$waXpeVLDCY`)e
zBlo9~f++CA_iWI^;fCE84}%V6LoA7C%_0NIRJFnp=|||0k?cBJENHpAb^_p0_L^FY
z4jcIeR!ECeJF1Dm*5h+(tUJ{b=a-1PqlpAlK!8AqRY(bVV|NxIR#ji36WD64i5P0p
z{X`XOu!axt@r(nAJkJFGPJydw)0-*R=O~62P?NmahvhrT5#ADLmI#LtXUnIi0R2d{
z4&o5{1r7!1NYlrC?8NPiBX~`-=JOJ=TpLKi3M;fV4>NKGf}?U2xhiprQaf4=_TRaC
z@BUHzv#ZudTG#z|mO?DKYP+Jbtm}C4&MSr!W-07z-i!s?0N{cp=xEit3s5>XiqTj_
z<*8JDC^3ZDt$AbEmw98b&ul7CQew|+_NrYr_RNOf+RkUQD|FtolbCD)HiB_6&2i0L
zX<LDAKqbU;ZU(&ZlE!`4LV<6{vw(e)w&9@ORlFqDlqR8gC#pr%olY_-UNkZ*UL%=F
zVj&?%qlKE~3;LSnwY?}6)`WX&A2avN$|$8sRx1-K(?`#Al~HS%KH%sNdhztBLFk3F
z#u>oEOxG*G{YHmYJ+bxMolY{bHI2+{eVbAdd)1z-DfZu23{EmL!ntVt3p_192Bi6^
zct+cDX{JDDdqy2fb5)!cB}9}la~G~t66EVLf@l#fa}%KVPaRh4iC_QP>BLVhY5&s5
z%&!+i)#=tvt@$K;5CeT?&RT=Uk7VF1S*7zM{Ar|IYUkP<y0hXR5z1o3SNJW$9GTak
z^iy(lXkjN;GfewCG^7<w*%QUjn22_giQ+UeQ#|henhREDQeJ>LeUp3k1K}a%zHXC7
z`teu`kv0wL?}!3y2}X?~vM_60sW7lHh;=UPo`A(6ac_aNwGIuVjPTev3@B~v!fuPt
zjK^yHQ=HEIw2>l#AYul&JO$NeuukfysWV-v2&ZNjuWR1Y*Nm1+uF(2xM?HywFEj67
zh{l&O(){@K@cvW9?8nId9M5QfD};54voXREdke2Q%P4J~)%F+)%a+-1$jQ7j*$bx2
zj0V~;Gfu(`n!O3oP2=<}K94({_^BsXhn``a_;kU_%tDXFoDMPW{6KhE==XBFVKf63
zGB{$!*%Kr3ASho9j-M998RJUnr9Ktf3^wK_hqV-XXbc8=y~EGZtt6v>eXG-npC9F-
zppkjYxU!Umm#mp)Y>+y;6_P)dT$6EdTF|pddrx0;OUx+Y$9rL1FBb)z2}p~=_efvx
zJ#C>@qXw$8U|q)0FSBgC7>!@e4Cd!Wk8IrDo3mF5Na5~vrPRW8O7i0R-axdLQm;J#
zy<c@0uP4dzO{Wt-wWQ>rky&yqmq<3ur=G;Xmzj4SkH-JlAMd<%;7)$UX8pPOjXm30
zDj*Zzmj{ksYl)nK!N72jt1N(W8aSO~T1_-Eucn)N=OwcM`{*PF3z^sK6VUh~o``?W
z5qY27dwBB6IF))e{*O{UJ_#`hIxyyLazH76Wl9<XToM}!cV+i*?Bq`)&MN32u*$4;
zdR&}t;$9XqY^sn2`%q7YEwoC(ZX7Smds`~x0Y~-IbV_|>3i-frREhsm46YRcJF261
z5SQC(;AUuf0+&05!RQ<dS{DbfDr42B1DRPe)1lyg#jLT1g7nt5@Bmc(6l2M(gi}2-
zSk0Y(GJ}h7Lfm=GzGgBo=YjwCm^02$nk$9mSjg`_XkJ+U6tO%Ad}th}@bJbg9k3%#
zr)yjee?Vw>wTW|l3gF=~eQ2{KxV_Pst|C#NjKq+!1qf7;5gHTnJ;FHnxW9g6@rJ8x
zrf`+C5FT7{fH5wD^(Zcn<N?)Qmr(;$V3U!_7sGKI0`cyPI6`Oh^$QlELvb~RAJ~`7
zu{L~v9w^gSLI`U}pdv5#x64QALO_ATa@6r7?hyQc_Pzy9?y9<<S6)LB5|9WiO9mA(
zfz6TxM2rLo0ptxr&}fXivpchy`DJ%znMaaUK*dKve}A>I0$R2BeqnuEsa9)STSTc^
zUlm0Q)mB@rtySCp`&a+pbMEtZ=l7i1A-h&Tax?q;{qDWzo^$TG=bU@)xrh%71V170
z1IWfMAMP@xpfYNa>f}u52!(Bkopef+OdlXv20<$b6cN!c1!R#FfR(D0$ziIT<7gih
z9m4^proAFQX@Kpg>tJ3?5b6$)4VQ;0c~F(MaZC$hKST7xF)H*m)sm4W;Tf%ri7Mkn
z%mXbJ*`~hLk<-y@cB)0;78YW(0_8)lP^GtlMZxU%{lkKgPvU}6V1LwbWO@n37APsr
z?^qCnwG{6K0x;IyS%<}frZ5f;NkOXfoh?;Q%y4;Pyvb=OdSZ}XD$QZ)ofY`Ay5bK#
zHT~}Dhm1c-?@&SJSFA;4H9wQ$Mb5Stt5K4>IE0nFTxtGaZr3+>_k+&?(0vXOg4A3r
zx>jzvu!GTm?lh2!iqtDp@kyyhWvG_!`;c*^rqUBp`Qr>;{77UlhazZ9Fh{_|**SFR
zA%~383S$Ylm?f79fCGH)qAQxvkzw60yQ5;=9gSId#V4c4ob=c)y*bCJxbyVi;jatT
zC9u!ASTK*C)x?cPMzC!DaW}L2hiX=@GqO2~wfV%b>C`_Zxe5~8%wlp<FSd#klvpW`
z!u-Z*Bz~^TwMUO{l{*`)fpor0ggFI0jxGfUoekdYb08<IA<jv2iC9Uw9d}Akm>Gx>
zd)A0!KT90R5-C8{gj>Xu!Zgn_?wp>+(LN}`*$lxyNC1T3KJ`lfBvk%Bi>&zBB;BZw
zBzzj@My0NlrjW*s`htYMNFkPB2~Sn*poLF&z`G=cb5^EHq9bexfU0y!oB7k^b9YOw
zE4SK>nm%-=|JK?a&x2bs%>#Mj?gdmS;l!QgR(`@Zb(98vhv1nxb>>LT)ij^#0r+XY
z1}nTe%NW_O?xRLr${S(`NjkzsCep?8j?8qWPF*TJH@=d*8Cs<w(WL1j)75<#j>vTN
zC-jRmUGcB}WV*Ttz9k%}DUa~gaoG}H;S3<sptok$&-zczl=8~%vWMJP$Lh2&!3H_f
z?f#Wkq}wtDDl{tEaarSAPc%F8eEce~ZmV0-vQnlP^8Ok<fyuw5EBf~y1kZ5~1mHwi
zFIESO{S^V0PzZCL29frt9(!0?tN3hT25;UY)Qpo<=m9+IOH!c-?xD?-GA6Kqh11@A
zQH~Byj5}bBDMW!?h|?@Ni|j%;2ut^G({bd0Cz&~v&jkju3x$2orh=e>s-Us${fc10
z9ZeD>C7z<Wl*U8Zg%%o5GUoqFW8T8@ohm6)`Nnn?$BpS2H{9&v2BBd_|HyP5=d@>r
z1DrfMjKj`2*WJvy$3o$0qAOHnE?@jbq-(-uj#IgTc13)nCNW>TB$M{aJyeL6HR14C
z%45_QAZ)H26hA?0?+M9+RP!~@vF9=9Fz~S4JI3iamZOw+lAvY3*4f?R*1+I*+d?AF
zR@gYxPTC_a^cW}@6Q}lsi2)9}i(nBwkNw!sLdF!Ue{jCqWdydoHz;J<>|74f#e>Ek
zR=ZWFJkaE4MHB%JP7}vh^`4a6w34$&j0M@bD%J4{j#*=>G&z{NEpi2*J)AYBDT4#@
zd^opGyI(kdP0s?2(0tlo#+_!^(8V;v|4VeMirfREwAX@d^W&39JWEYT;*E?DtRo|s
zfXzDPxJE?^Zpd-I1wKKJJzpLM+Mp4kHg>+$m3g$ig<41+w!bE}*vx$W@WR82;aGnm
zLJ$5v-<f1VIk(CsyOL@v#k5uIVDP{*_fn_PR5FYpVHtM$9P*Z#=yTa>2;Nf51<Dx|
zx}1JVvVVO7wjkYWL`mZF<Cskd5Wo~f;us3GuoV)Tn3d`t3NFw|9+1i&)klLXF3s=>
zB$#h)I-629jH%zW|6M}@mIg8|BGcYjb+X!;8P4xO7J4Z|cn=*39k7#b?m2^0Q7zc5
z0h(reyh77n<!+=s(JSY2V20D?xLuH?=&)^YE*$0HR856gh1_$ROf?e-4xR~|7AFkT
zeWjb3GY6;t5K5$;UCRTrD<o0VocW7x&qP`2FM2su(l!l<9Dlpo37Ci`2u2v!LJN>b
z%aG|ye`1*{(wZ5zCQEEnI7XgjH0&9=i<vZ@pQUGrMxD|#^pX^<O3#oIqRRA&<q>t4
zlrkYT5u!XpOO>Z$wrt-w;oWc;oI!sHD1~q6bM%XSL;R~hzM<_(nA3(?*B42h(~W0>
zx9BR1uWrp2$$;H}>2=XFf|gO-t>Wuk&k&D5?EDUKbkx?Xp?G%QB(>ZgvXZpHhgwXr
z%JE$gBHCRP@A-I0*Y)3W5IjbEDaq7uvoSs#b>Vmr8BV_R)g9<$e9cv+^j~P?gt?R=
z5?}v2D#f{t?X2KG;cu->>C1>om@ni&tQ_WoABF4i2>v6;1}i4w*dPMhWvB#E{Oco(
zPsu-YtKvHR3idG&+ed8faoN)`i>#iGpc$Y#6MqEzTOZ%wS~OO)Wt4x63?Lk7P8Az1
zPM+4By`5b3N8?*eVF5<8!0aSX^0$<i+)O0z$Dpd~Li{?O^~HtwxG*uJFZdFmupjH2
z1XY^+<ZHK!)s}2(Wlj^j$^9F>{3d><N$EX<$cR%7vDCEbs62)XLMAbKuaslMWa@v4
z%u*IadQt%^Ql&x3opY5U(|?i>!4!<YgOk9Kk)^J!4eabWXFF6X1-Tib{?tsvOWO-m
z57Z9iy&SbdQ@*_bFW9;W4dkV__Bsmt?Sz;yX-H$g0^7UoMhg_d_5<DlhBIEllzY)_
z{xlHp2F%eaVZxA~z|%J~g~TEw=@Yi%yvIRUG{C8-^9~*gupUYsdfN}`xa}rW=dBE9
z^k8YV2~a1tNfjy3NYSb^DrhFBG%B9QpU#=(_XwJ^i4czjDR{n1l@bJx#jRJ6Qb1A!
zNnM3RDRhdIp&X9p;>ZHrKg#1PrH{4gB~KA}@9fwy^WJAY@-I)<W9kkI-iPewPf69h
zQiD={t)-9m8$$1Z_p3~#`5*uUO?FeIldhl~&;N~|SiC-KLEa%qo|GB|n8oQnHse^e
zhsUv!{;`r!#j+UhI><pR!yt}C<v8V=rski~(A9Y3r{;S*u=GpDQY=i~J46RR%R&(L
zEBrJ?<5C3BoXR8u;s+}I3QCE|<X2FNrJmwZeuc&25L1{};Tq6QconXtU+h)jU;Xha
zT%oK=Av;7Cudcld7j)xYuzT(y{$#zY{@d*qST~b7%A`SQVk{mPh6E*r!e8pi%F0<a
zcBaPr9m=|{|DJj6cd+r<adq{P7J>!lUaulE{LXjAmhXJGCis02(J#`-%HW5%36<hR
zp>60MNck-px`uMzeuB%1l^Mmez8JbE#&Nnfcm+sok&O{_X$;<V+Tf+lVnJ|u$#LD%
zCbZ$3`g=`9?_C7TfcFjwl9I2n>j<rF3u|&P+TW_tZs~NN;=Oixh?V!%cn_a<=O-!G
zy1Gf1qG+(i#@XX>z=qI|`(h{&yVz-;o<{ET5<bB;5KfkIvkeNu!O2tcEzyvh6lY*3
zktZFyer1lX;e6;KyPW(QAqd#DqdGj5CE4}O0(3*0ru(Op2Ep49e3ALQ9EM@Xj|+DE
zXjXRgK0-A_fQO;;W8m<(KMSPF;qf`DG$^H1gu}z)(H~jDoZK1LSBeOt6E}MltP4Jn
zT_2YmtS1WvcT))m0e?G`!=q-a(H=+8HHY7c%MG}0Gk=EjIXF(<@Rlp2(W`S7KnQ+;
zb52|xSI)D2LHnW;jWYJXa2-yK?mTD?fz^@kA9t%mj`8;lyI^R?9g}fMdN?&fY}5Z9
z)CzUXd<!q49W(USHVI%{Jkdf%K7u;Ncb)EY2xzyb;5PUwx}nS>xQ^sn8GLR!W<BZW
z4*0QBUxl@~kYLOwCo-7nIL*iX8t;-ykX+r4_xT5LhG<#oA517hC=_eQu@(6Zo=fpa
zmsTW6$dp#(pYx}4=14jt6OTwo(hyZjFVMH+$Vp(nYJTbv)DhpQ%Stf$4%=p5Q%8S+
zI2Smhm=kevnbT-ICFMCu7ZN~xLiBJgIT80&zef1nIU1pL+o2ur5qKOjhU6)<6#&NB
zPUJ?CQ;2vn(-eyB-II<OrCcdPA-<A4`ZK22nJ~+&@<bdI@DH1wne}5FF|WaJgd^tn
z=@&a<_*Z`%G1s_0i0YnNk+i3-oiP{n;*3$f_u!D(6lJEWwv|&x{oNS=a$FQrlyfHf
z1HEjq;_+UP(AJxRk|f?i^G;pYfB%AT&?tO%IBAZOdcFC8cE^mPCj7l|)`Y)b<99p{
zBLA}*ff<}Oe~L<Rg2#5++?VoOa@rVbdY>S;9H-4&@T@ORn|#u2(2g4c7JCrhMi8cP
z+*~XjH*CL4zm427YAR|6PC?}<ydTz(I2OQsVU9x0QEQqDydTmy2E2ci!%?z4I19s~
z9v0k$W3v5&CYv#;ciw`%5S)0TYvzhFKtNb-b-wTt=_1ury5mngM4UISfQ0FqAFH=2
z!X=ZV^Bv+?8{HMypra!oBN@GFn^1a#q>~9pHR}6iDl_<c>gu*g72Ms~mdH{@=Rv9y
z6O@Y%N$Ti!L*pFcI>Wh3sMFev^fIx7s#GsGYwHj*tPXpi7R8;nYvTmx5TDYTpgU0a
z*Bg6<XKDf<f+2CoBcQ{978AH``<!vwgoaK&vmDN&AYdI$!zE_9D#cLPlf_Oj<;xP_
zO27Y_ou~aTA_Y8gJrcvH$U6)FixAf<50h2&3rFAut)eyhEJ1+Hm2Q(}<LTE<2eA@W
zIaCNLb}?Ph^Ni9W-tWDw5PZcd`@G}*b3%Y{!y2jk7`R~vt72tNwUjA0><Lt9Q0g7Y
zZrB$%>KeOZadr;(D@)fKuM{}EQ-*J|6m+<nFLGin!9}K}a&x><9i!uS$WaMlT7`+A
zWF##hddDEtG1{T#$$+Si=b9^6_uiZuRknll5fC=iK{|})q8+64)>iak{a3DktZ=5s
z{TTL%S>uj5Y1RyQr!x-Yg@v^0iDy$<^^fOI=gcwoJcpF=;7Z5XE~=D%iaoyz-jKQ(
z_7rl~gsRl{o9UC^UvE$16mFwfYm$n_Z}e6gPiry55(Bb&1F#qPMD9B$fa}~|@TC^E
z-Wt)9%)5zbJ>We*6Q9U%FS%~4Lj8THpA_zOZZDYB<L;>uGw%N*#{J4H<F*$|8uV>E
z==dom!@~rAVugw)!^14BHdAyU!^7$s2QuJIrf6KsFA@lIEWZ|CSFGY}t0JrVQxk|+
zy+6w`D5W6$DOE}@y|(Q@a+8Z24XoVQrM*lhsU9&FzcwF>2pXtuFgk&hVRD(Td|t)s
z0Cc#7f;W;c)4iw>TTg<6{<}<rK4S^b->)-;qFK>j)+kSukRqX4n-yN$Bk`bo0Qc38
zS6j2U`%CaArFoh4ww->+A^dp@8Nth~S??jV9jjGT?#E>K3PS)@AvD~Y-a0D9SzX~;
z<I3-@zJ%0<C3aTw9@yU`VApcs6Zd7BDzUvQ2fk9vm8KkDNjmVA<4aG5&PYn{Cjd9j
zflu#+1Ao9%4t)OA9|u0pXSQptk?A6Q8_lkr_8HG-njU*_)UPqFNz-1T(;JVIm*%~a
z1;K}!#aRZP1-#qb8l2<tUiXc<?z}yYX(Piqj(M0wUuEsh$VqiFyzJO>vK^eteN8TD
zGgR+F8nxq+J{`~c;*z!w%vnQ$K;V>H0u=UVZjiKqmK2|I>zwVxA*}7T>Mi7{Kw610
zI+!paFZvLvYU)igLCM$*q-%lz?!E!ddERpf+5vB;1X{_RAoJO@pb=Aq;e0(}XAuXk
zjzclF8w^3ZI%21@UrGyJ|E;me^LHu>3Y8AyQKdo2$;nQR)!Rf`6GW21+l`?LodmoP
z@<xLf_7ZrxB@4j3JiY)m;<lNr<&g%Ka(UdtpC((vN_CWEP=D%SG8NvKWl)L=ucu1s
zsqnmK7AM<AmE>qs6+BvHfBp=vPvKb9Tps_!)~(1u#c5vn))hIG>CPYW|I_!lh^2}c
zRdt0)yqcLaAgHy)eiX#XM>F9>Dw-c+szl3yUKGubqitK!yq^Bv1_jsq_O)OeNElKy
z-_H<4DVp@wUM}(74wn+_&d)>(UBggA<I=y@ZC_HZ2TF@k+T)1T_;?n+m+=x!8EY02
zV`rL$vAruLRS8tJSj1P7N~&5G^*jqvQa=xH<CIi-FO<~(q+c9m!oT{Xq@F8w$O;)k
zLuk8DC6?Wkp`J)~7^#-}Z$AjJ6kUMNid`{i9~UYU>VdyPDbI{qmRtp|+jO_9_XZ_E
z^o)@Dqe^$XLRVZ+cr{0`78&%BcoctWImPQ>UXL*>j3nNgF!=G-QZtT<y#&wtqGCJT
zLF)jevlTF~DwmU^O4O~_?ts25rZ3cKy;IYnLMMKwvFbgI`X2C}DnU@fFPiHJerU?x
zGO8g|(X%!DCf32fm(Pb_+dnxe?7m{7S{$2{DX)9W3ag^U7)uBj0FrW@7{dV@@uAA+
zOWGHusEbMjs}UCY1(5i32Z_P0-Y3cwiVTg)hwBVoX+0-%ro3RT*x;vTN1i9fwNBTu
z^i!L_1TSx+b(`wdV5Qp@60vry#9EN93QxxfJOy4lm>KU0Gp9vy5T9-e@{qwsA*xm<
z-*s|LtlnWyy~BY#GxcJtsjO#8(rEe9sjdk3YHZfCmjR_hVR<?IVugi&MJOy%R-muS
zuv#?1wG?<5<s0#rAmXS|g@>Ky<t~4_J!`s7il51|X7?Da!n|)Gs4!C6$Y9VIO-8$e
zf`cdF*tJ4)PwENiC^T=>75xQ>Wuw<D??5INn&3k%I#`&0Ko2~-mSd3S{Sh_eXgPP{
zSzolAaL!T6jsS&~o!863B`P~ZM%fX`<B_YnSs$+=T!kV45evytg?zeIJB+eb(rEV{
zAgBhs`z3Jc)u6knhERh(r$=U~K~Ga^5T7^{M;!S8VxErAiHv`o{eDCz?j63CbLEe!
zow+ss@sW*~#V+n6jO-iE$b!1b$%(+I6?bg{)CM4C<?lJ&rqW9YR@O@nwGOg)yC2Ua
zat9K-?(uRdNkq$~AyI5KwOlG*#c~-knXEG;vCHKllWMs<lz#DY$-knOO95~%%jJ2c
znOboQxtzPT^3Tj<CX3FZ7s+?d_eD|-Aj#4{N?ZD>Mo&xQ0QkZ7l10xBXK8%AuIMi;
z+?rK!iDXeFSoGgoD6;@LO^-DDT4=E3t*2(3wQx0_^<^#W;1abA3MhCPe4HFt=rU-n
z9~VB$x-?#7a-g7mHNDG4Y?^GS*CuDyKaH<9hf|*X0*Lw$XYcC`y*AE8Q<^y5#Wa8c
zZ@U~v`W5pSsv%a)3p5g<IUl%F;#lDf;y8q!X~pq#(5bLqcF`{u$NVcw91DPZ5yux}
z52QF*eSUd_^I>!y8L%abR1WqTEu7zW5QKAbrehcSB*}c7lFY%1At4MagI_55<384$
z&SI!7IW?Tk;~kGT>bm{{!u1`>Qui|jGMK@7FQIWeGIuYY^+o3D02YV3O7sd~SoGE;
zJwipVeS6qBm&j==?w?}m+obC;5HMfF<s6NCdm1y60vUv4?g(Y*x&h67-X9RO1K#T;
z(BTXi63XCBQ4Jwy@6;o<R+bO4QK1fHaS9bA25Pp)_^Kb+SXfGma$xGv6{QZMdw=kj
z5s=deP+uw(<S%QfChPmkjYhRp!fhlt+okA3hsJWnQmINu!Vo4RFlZyUDE-<3%O>;C
z!UNn;^F4x^@9LJCWW<D0b9a!MoK?ypmf9u|=BL0n-_|r%25FEos)a04r5qpg13Bx(
z639GNFO?^?3eo3Y44(d2;OS%C;)yQTF?dR4>?yGT?IJ{SS=vQR!hkOVUZGn&NWWOO
z;9pU?g_xwh=oXg}y+)w#O;q<}RV>7%UgC@>?hJiOCiTK}8>w3el|AlWhylH9o8}5)
zFf#Zs=yzPsAj?y&YUvI>)J((+_dllQAjiadR9E!xnV%Yx!I*UH8sq9nizyVA0?&d-
z`h^~Ab|cH+$@@7q!-|?w9u^B?3Ls3Hfxu&vT_Esyjj#R;LVM&Cx{1z-`@X;(2(<pc
z8Ny%*D#ZnPN$OYb#<z#3{FVYY!-j9fjrTB6(ieT_n2?F1(g!REhGkXkdy?@IRk8f`
zMj2`sZefs$0<Th4Tq-E|ORrGLA8Kau&Ll<}@HWNs(<#`dT8IDE?`Hf`l;}bb2#nuh
zIW%}vO#=L{vZ^3uD4Yr8FKCpZq~X*(!U{%lYC^6jqeHk|a+<d0>4nJ9*Mb9Hh3@i=
ztU{4sdPvU$R-#;~%4hwH4csCJRgh8wP|`{yudJ2OoTvoa)ynv8A1<5A6~rr~vz*Ca
zU2aiofb~PD)6ja0{l#b#P)cQUR7V%C@lT2$oN-SlehJRFz~PLb(|oy&DJ5ld279J2
zUWqPq8jE*%s7zL<#IEo+%wJNNar*Na%0zmu2=J65=#dtqnUOL@pW72f4+Ga~S>)4S
zArP9S#63Mg3me7ZoKHZA)9+@sKL)4YUyy0=%f&gb15{~HDhkPg;TH<wPAA*8<*%J-
zRgmPw2o?lc%uLHGb0K+DE)z&9GY7@G;AHnyYK029mMV%S1{3!+smEu>{GN_lftX)U
z1|Iu(!4o<3d>Os9RT^v%pVRe-^*DNH1FY!6l*Eby-t9cbc)2EzWD+B!4B>6_r^$iz
z`T&C@tNvT#gX#Jy2i5W5O1{01Dy8S!)!XC(r;^%g^(5qt1`h`sI;#zM4`u-vB4NOL
zfH4+7Fi8g*SSC8ea)An^R)R=5tKuukP->+MYCOX#4pvM~*!Q0pj<CP~i+-{F&A%e-
zZ)u=*8<q5Q5;PPiU+U5T*QWQmSxj%Y*B<Qe6O<X@wi)6$U*&$ImdMT*nx}cnt*!;7
zTaYv3o#!ibUH={P(hToJiemw1a-W;wdTVLqj{AHmp7q6?)Y~T=!%+@&0S;RgIZ2a5
zt8MdjWu&h}>awD>Y^&HEbD=FK!w{Lxw4gjIMOBW$3{=*9=RJjB9PpkjK~<6{$a*1e
z^M%7@Op48#6qbSaX4?j8Xc9<eiWDf=e8`$cS<}^B0An+`Q6b4J*OBtXjgsSjoGtJ?
z<!NIteKTJu5APYyKT}3;(+!EG+?DnE-u84JSBOuRkruvIE|V7-CLP&^Z1qW%3@Xmq
z-N9*T&E2*D&bY|ojG%2d5Q7XQ_KuIlmw}Mw-&Iamu}r9fvk5*{7_XXJ<m)No&vC;c
zI1Mh}A+ycfPN)&qOBgHfT#IaT7tYWr!eV=}#bMRb<Ac1FlQZ;NBu6CnvP6MkaLseM
z{kSuO545rLflFc{KT~h7!^H&q8`yyo*|6H!0hy92n3y2a=_Gcgsx{<Y%(rXpW*hre
z`-?L})CS}hC;E}QT$GRyJ{9R*!L*qwBHLq=u0Y@y+*A%<6erPm2_xV>5Ybq{Cd?Id
z18~0BYL%y^;oCxW+J@n?mHX&)Cbq(00`Z<qj@|%pB{6rN+*edV*8Wx?OS8XMA=Vr4
zCbCRUwzwtF(iW59*$|6+&P<l)X8}>2{@qWNaLkDQIVsuHK6e{0(P}~|51&1yI>T=R
z5*-4)w?;H+dTa-Dd1V%ivCVWFYQ*giKn+q!&Iz-wY2wH>Z;9}Cv{JMxlbkD7QkqJv
z>{Jm^N)ywB?!spJ7+`$eiHAUX;D5q+`Zyj5<B5Ou$9URKswVT-NU@c5=TaL^nT~YW
zJ@#NU={(MMdxaWy$}yf&`9Mh86#Gl1KP(SC)ZEW1!<Rq-+aVNG8RAW*FX+1SG@V6Y
z-0p^9&frlX%4`~TyfPby9k15-_M;$j|4}0-Y`Zh!Zum!0DNaDx8;IXc`7LcA8ftkD
z6I_nP_g8q<7mH6H*a%QVS$hH$HZkresL~`Le=1Bi9NF3zNV_aDkQeBNDBQXvl`GgD
z#r&S?K4?5dZKcBaJ+z=H?5(H+UR-`k|3vQ+hwSRj&)hEo^2m6urE+XAz`M%*lDn2N
zRFx6IrZd>tk2Ee>6y>uZQfVK9RB2Fhbh7qwr<wGe#;(R!bK%N65~svDq{-7aB06b*
zrAqhI)v;|UIF8>#ZANC>cB?#`yO<19)8^KVoH88BO#@+0P@$2Rvrct#6V*l&xv^{0
z?G}Hp`m!z6U@AOYtVmC@{V0gLC#S}py@{|GwL&)$HsM9|CIY>+IUWkxC6~<!CXGEi
zXDwoey6^@q@Rg%B{q*Hx%k8HIF6PuL9RvgyO;<&eJFG4g<d^7@TQu#vZXpCKv3ek@
zuEWd~@q?A_ewvmkRo4^v(>b$YTA64gw_R?eO6jG@`MBaL@{V+IeWr>$pgT0D;8Cbf
zBN&0Fe^Uk#fc`zVV;G_5roa&|%Yr)Qh+CO<sW^gAJjWcNQdp_&RhcSPBZcSc+p-Kw
ztt$6WrS$wzxDL6*aQ~y79#uv!BewZsIy%F?6y=eOO@X@HZcMB2frr5nelpVt<u>sr
zm>kiR>m@(cpQ7#9Wrp)peUu@<EC}7Grnk--a~ynW;aJu9@T0#0f4glaOS}&yV97Gp
ziDfeJcWm!!gHtJBnT&O%NNW!6G}gT@1KhY=QS@He=)b04yur!8`eUPCYP8R(VsmdV
zhWgg5JDkEbAiM3sT0h0!;tVtzYqGEI7`mGDA#XINvuu0(ba0Xcr*pjVevGbrP)>Fx
zAIu6ti?iWrtHZno%)JFatg)2Af<FzF(pvDRru>#HctbMp6oSjK;8)^VUo80JBN<x-
z0!w(<j9*2dr7`2r3p3+s8cO9Vr7hoUGkQvSHxT3l-t}?-O6CS<m80F0qkaKRAg0i@
zhC=<f>ML2Wsr0WhRT@-Wg~{X%!q2S^3PSc#N*@zwe7CXH4u(}vsvkQBM6fY!0SY}u
z>U%xd^*5)+o~>|Qjas30{S012+x7I;(YfZeUGKu%vt2*yARu<;tNn8q3TU+F#M|{T
z{Gx?X4{bn%xiH1*nrzAKW6p>lu(a)Ia;DUD$N1AZv+X~Xi9RZ%k}9Q_B^PbOPP$%$
zas?a<n5@EeN4`O}`I{LG{JCk&FvZ-o2L^dC3nrOC9$-?YVvzgz(^#HU`<8-1;y;!9
zmTJ{f%W`}r8SAN(5zPRdrcmPL%>Rku$XHMMC1O44SAR^Q%Z%dNtQ4oqz1TwMb!Q8y
zetR&6PVLkgRjaYq(9xZvSLRUID?K&X9$I~4Z~+T)YrH+QLf7@*HE-iTg;l8#*>UIc
zV_*;!G@3FPL{CDcv<6W=<+o%I8Jc-(2`<MVT8d|VF^B@e%nnV|#-;#>_3a$Nmc}AF
zC(I&ZYNxb?x^F;FB<~u6cEGzz0<FYta4v;eK?`WwFj+1)Wa+;dG?oRO$_yHzN(il@
ze^P{2{q~wc`%`1jHiIrjtxz+li5Jmk5WQVUW{?YS&t}l890bHpePsr@P|OE2$b~6Z
zWn?XPnmHqWz|st&$(hm&dM<xDXJ*jHGtozyK_8(?>1D}f+r&AEe5;L}%YYfg3zB%A
z#TJ^w7WHD~&taoj^Zq&uVwqq5k|~>tUx)y6%rB`nK!1>BP-^9Qlq#j?mV>(i`m0PM
zlpCP`m&p-Lxn4Fve}lGT7b4yO{Ut*XwE;?RomD7$bJI+S=x@N^Zkx&S@IMl;WNm;F
z%Vgs3*xuC!s8Z6D8X8|oTK!7l)*Rev^?OG*;x|C)y|DT(pkHkD^RNC`{TGqlTW_}z
zAJ&V(|J1AozwWXJTmNL+*4GWjn)xdN!&Mf(^Hg&+8~4u!8SDuWoVxMG{SCUV|JHeH
z+-uAo47+|>V<>}NKZ#0d?fOc}Z^^DV<ns0qT#j9TEuQtou0J-Ek@Y60fQ4<x>j<ng
zCjFM6NiS%eZG*FyCiE2Y?jnc>yw^#<l{^j3qA;_5VN4jN%4-c(`ft&{Hwz|}UiB`j
zG$^?`Ib8X!gS)XQxs`yJ<9OxIq(+{tN4*BMLJj&);zhJUPjBs&11i_N-q&>D?b)FJ
zhJ%3ENv{lg7YbnQDe?Q7(d?qdQ1?whcDWG6>Vj;ZeS-NSez?+{r<s{jeSJHBI%nqm
zuQO3cn)CldmC_563%ZP079_PomV0l=@Ivoxfhmq^1}Aqcv6(5Bqeh(8V%ao=<vC`G
zR5tsDEQ3;O%V|_8Jxd&1oBiTUBa}A#g$b1F#b$px+Kydo*k(VEA&9cs>8-QSMBC$L
z9z=fw{&w3;7J5%hz>>w^#4?%qJGOUavnw@B>6r1Aq|L50YR$nRHv4k`Zd}kZy%#q7
zZS;$6cK+2Lo1J&+g@hdGHEKEYPJOW79<2AkPJOV|SQDPN<AdKTJ3j1{W_LE`-vavB
zGbJds<Bj<@>ALfHr`|=(V;{Qw35})<7X3$2DQ<1F4<COp<+o(f8=83^Ah;Zh{%$<$
zi$x#Usds3icIpK{Y(Tz&U`u1xpC4-0TY+OKH|%?EM^7v7dj$J{_pls-628Hi6=vYi
z-+g<BVDeD%LxxEGxAK3M1)WM0`zci#l$@Sy<^T5X+b?N}`IO9zw(9kFKwqete>j?p
zHuLGNy{61}Gv9@`XEXmK2LZ8DUzzzX6u{a+4_|g+id7)lraOc=BYwcr(5K0nQs@0K
ze>!J|{w0~{BMtrSR4KhIxwx0`Wg%}ZYk!Vf(~FcpM-5_~dsY@?GLP&?&m)BNOgs|H
zp~@~&3zw3H@s*@qq*M~k1D$qJVg&PxF&tqR-AcdMF5+MPv5PLZHuqGlYS(#}&hK(Z
zQ+3>fWwb72J4iJfYZ@IBf&gV3g}&1hgpH#=0Fms4EGX9EjibACUH{$leWz35@?h+D
zepurvgLU*rsFc<^dT+{a$vQGb^WH;nIo8o@@vJY_k-iiuj9-;`Bp_n*XqJFWV;(vA
zmBhLt0?JYvMm@BkCzJOrf_K3CrUYBb-Qau*Gl>?`)M3he%}}QQHqno>;8WQ|KcY&5
zlE42q+eC-9#Ux7RM%yO(Tc9u0Ci)d#MB7C4)?P~HyG`W6+p|q{Txx8STU@4Ua-o<H
zHjxWctn$eE?*C=Zh!u7!(<n{Ol=|*J@~3lV6J3yrKGG)IN|n;flFNIJW$rMH=CVn>
zUiov`D%QPcWWg=7%+;t7r{GvyM?`};W|>r5qxCF<Qj5<dRZ7n=2X|}q_cD!8ZjHW_
z$q_x-d)XSj9c{<1MZ7ioB8C8>GBlqPy>%9%=xt9kBci_nf4glai^Q7~uw?N!u}miZ
zj_qB!0F<7l7XSE4(gmQ@Zq31+E&%V105@)Hl->&$zytJ)T>$*6KQ4d^$)b?A=5=lQ
zXSycV>aYisKM(<`;b+^uP_eE(4fICINY?mA+RroxvqAq4K)KEQ!D$+A(0@<You{`!
z+QVkcwPG%1&2%M=8L9X0G-$^PehAO{Vg>6PPVJE>>sLU+Hr96}B@%C=p@3b!jfRrR
zj<=Btw${>jOV&k>Sxyx*lt-$VtJ_o8&g6@YMscR86BPH-gyubO**>5VSJKiyFx!>T
z39?_9{X0MJ9kuBr_X3ZQLxTmR(*f<I6!SZPdO3e7bX6sUZj`5yn3w25v=P^B*c2Jg
z^HnkGvie*@QgW=`LLT5ov0CFxO6i*VTD`WxJQ026`SJ{0tkG=N$8motZlu{?ZB=r7
zBZtTiMAvTUj3PGehj23oWgDi;a*#EWI7nZbBk$+Psry0jce6TGoh&wRHOaKfv0QyV
z`r}?SBmE8+4dBAeh~vbJSd(=|c*jx=aequ0&-wRUQg7tT2Z~cTEs1HJAH4|4V#=d3
z54mC^LwQ^~E16{rvm)~0)yk8(sUlKKAD|14_~}>`?6MCx*VY@vnc&>OT}s3TWx>jZ
z*Kv0Ym=zgE10ZaXYuFn9C<ju5oz7Pf9#3*m6|~5g$WD}Zdl3)YG|9`~2B(Qw`J-%b
z>X-c*HyunInvwVi7mm51#05Q3Vu_%{77Ho*Q3!mox-HDjK{ctCqOzG(-n~yTsor+p
zd)Og|oOj-NqUVufervupF)WftN=e5YSJ*U^8y+6c=ksDB;eHI<wp5&iNNj9H4P4&@
z*;%7|K=kv%rs4JLbJTc|PTrwuZgHeo5EXDyb!((mACWf;?Ao<ycqqRa|D8F!d$+79
zYYbaUQ(=8>7q8|8s<C@02cYPG9e?Z|%9n7lY<cShZdhuaxfz#G%X%A8&3U(*0Ttbi
z%_$Z(D=dr!urL;hg^h#;D$WF)K}3v2A!4(Q2=|YU!KOyUuytp0A(R$^z!Gm!(9I#4
zq#*nq-%6hT9p8o_Vjl9X){%J0em1YZ!G+rU1O#)@HWy?xsP{g+uw=NA>?eg@95QFl
z<Ec!`nRFg|RB2F}n8_Pa>z`Gw?y2C8JgwSC=<nKg%TPlj-Oo@7n7$>;z}d6=f)Ik*
zq_jL=grJn3uRSSRmFfG`0<VnFSnWVvJElx-O|MSRS7PwXy8)x{e7%Q$vFD3_^~dvd
zQMEQ!Z`VpAbZQb;mu3iG$xk=x(@;8Q*3bHx4)O=OjP!o__a20RkPO2gc80+r^TlA&
z-$G?VJ@B=!&Z!4?T*144rBNdNWeTx*Wv5tA^c-Zt_ZQ%ibiNWL{Qep}VM=~RS6q;I
zHonajo#=#j(|H<1+TZH2hXvEb`!@~VysuC*j@R!#JnM_sFM@lN-%r58e!ox2(S`c`
zjN8dSQ@H)|m$Yl+t!ll7yIZ$idl}#M)Wm(N%@!_Tof7A$aV;yWq<YQhs;(x2_Y(qf
z!21^osgkk5_1h8mY=M1}YMjKw{GlFZY&9jC6;>dcL+Dm{A|{~_%}dqfn=RWAcsIbZ
z^A6jug!AF_i-j})iV)7802s?aWmpLU%v<unuf2J;P&pYt(6!x>zXa|+To>1z1xS@$
z{<)m6v1`G+DVsz?K9@*=EGA1OM#Qa95r_=4aN%?<+D-(9yAo~3>5Bf_=lv4G2<N54
zh_popeY8I*{?fCD<^Jh<jM+t)!H;(uHRFh|WALmmBFy0qCAtI*Jg1M9qY4#W1xt3V
zhwMsqrJ|Nt8ER-udzTPAxDs80m0C_M7`|hyZ_`+}Fg$h*T_awco}R3Z^BzLg+6c<i
zHDT}`kGJqmy(Vu88_HFO%fpmzyo##>aj8JPR)a4XPJTFk#aH9?DY`*9xR^W^T^X9*
zAZU7hR+@U(Q4QfzHyG>gp2;O*>D8A^>c2IZJjwTDfl<Ydl&I36oY~3t;;EPM9gp&U
zIBW{2?C~shR1SGPjnaOu2jZu#fq8Zy%XryLY@<fX03gCkN;9#@pC+6AsRDrR%rYoN
z#5<@`0uj9@blfpg@YZ!av*z@{jT8E4CPc_Mp${=BqBXo;;)Fhqw(U5f^XczxK%n>S
zYr!j((>YG){R}}=oDjXWl@xpz9Rp-0Mf5kA25y_Nt_Pk5?`0UHu|(dIQ!y|!{x1GB
zo=-MzQ#Z!iHw4z|*ym+mfwU2djdFg1d<Q~06e_Xz1g;D=sw`XgvBnWgz#lv4jUS@q
znI9!!!{!<9^Z3|5vQeHWAE2eK+M2!HUxGhrr(@RJb~@fJqd$uc?3v7Z|BBC(dFBTU
zK@`u>TZd;(!d-!J_|;hPlfDFr-S(6D=TU|?9=QSjiEYw5S+LsMQ?x1%Ig-4~B%I>`
zkUl)MOe?)DzLJbyQ#z;?znwlj!8EakBC(b5;%zyAUu-DyuLwg?+E(2fiQ9O!=ByrF
zTZ(6AwiLO)9?Zp~1LmS^ttWTb^+2{gwW3+tafe-_EBfzQ2sWccmSZ^P3>zr<YCqCa
zgk|fP9&&aQ(xA&LQZtSTc{!f-#e@vw7-dHaK-i+WQVuQAjvNlNBO}vdXe~HvHH~=h
zW`b<Mdw~Q{Nv3E%rP0xyeG7^!nFt3o5iAw7n$fH@`bM|b<zv{RA+s;Y{EDn(_HL&d
z!pJoE>#LFZ<}5HO`{WO((x9CC$wuaOVPskpD_@wd!{(%z7q}3vhIe3n-ZefEU8XNK
z(-DIHoV2AWH8;&+Mt>j+8d+(-7d2Aau7vKC>e1c&=^WXv4`vyZ;*AHWQUY&ew_S&W
z<^$cE8SqFs{wCpj?t?}0FPTsxEs`HHQKE&sZIOswi1Zf8Ptdk)k?f<tJFM96GXzl<
z3B9$|CVY2dEOyQOiT@50!)-fO3FnFN2*VnUEz6qyE`J(t%|2nO4nwt7L7Z}@6S6r>
zoRo%JPKs|v>03#kY0R+>_QaVW;^PM`xhaoIae~9<Chrh@oWZ_51)nE#(}@g06gSaZ
zo12m;emu7qKX_?>3W~=zsqD{hr{E)Lf0E3~Bw*tKkoKoq!IhR5UrE}ZN_W*FG{pX7
zqQ=^v^o6iLC+Qd4pZu#o_UDDd@Zby?T^pd8&QDn#_F#ePvowL`dNM&@=5T*BS34%?
zi*-f+y$iwwWopZ0C}#8WNEek56M<(z2{@}qo!tsG81wF+W*jT@COqql6&lJl$_y2d
zumyCB99yCpS_m^k8NI>uBiaB>UqNHr`v5@$@3I6+38iTMRHo;`;zq{&do|`Q+w-=J
zwkNjcGa8*kWWzvlf>8rsIqElamEt~e*?O~xTi2PUnu_xWAj2h}7F_bFtX$%Kl4=Oc
z)nLD`mg|?Zz^JT~2dUDalo!dC>+Z{Vdz9(M#~=B$TdTYW2bTC@!i96-2yBn@rF413
zN(!!!yQ=FoBlNi!O<ljw9YMT2l7%R&?td3G;?!AE_obRf#7n8BJ;0yNksbV-EQ3;<
z_W!6-0;grSgSRBu!4#Q+oupEEqFO`bg|!$9ZtKS`-Qe>v(zFM5J!!?9fJ$*>x2>40
zHt|}tZCf$#1}Qpi;x!CGlodm7?LpzYLck`D!?c-k>FZ$fxP8VN3_N*`Nx-6IE3e{D
z<89@R2my?E9IF{~QvTv1iM=TVil^eG<=3_0;F~J*CbF`RgAX;H*c!gUL3yldqWI{#
z1Ps`G<ZZ^s8LZ)F;qzoZx|$(~;v;(N@X>LRSk?IOqrU;4xNRo$$rTJ^JVK>~E%+q1
zNo8TLNYSbk-6Rb&iSBp+q=l_C4W-P+SCSUCQp>e)4zaMAQDQA@`a)RPZ=+vqVe_y4
zSlDuhw>e!N@7lobVuzRd>%qQu_UlAzJ(<^^0<!Jt6wT6(dHo4pae?fm31o%u@M=Ut
z>c|~lex&6G%hNCDA!oO(4Z6Gss2Rt${s^A+#kLOP7-d=uK-j?hm>gQ7X}x`vHTdhn
z$D`1O=v4K1nXGD@b{cO~$0!_?a%-@ngm9(?QX0@dco;nOPzYucIMQlYt!>M6SLVn$
z6XJ)lgs`LkX}y+N{l1S%oKfJMuHn|~fE?*vj~y<22mDwm3$<jS>{iPe#tij{W+>w^
z*m(ppvplO(uH|Ry?ff{-!?emeHA}NSHa>~ODMR8V>_W<IG1@FoPT*u1Z2u8zeiX6K
zxw6Q@LTtv7&lC^cXj9r0e1<UTsp(=1oH$u+&E&@`<?+2u<W@niGK`w_ui@Nw<OHae
zpnxG;2Y&C{e34Aov4uXQG%R%r*&d^u8?3R_YxuMY2A`Ddol{Z16ZuB5wl{y)aDH1e
z-)xUp0)rR=VENGz&OI<PQdmD~l5q@Y!-km#e%6}Mat?bzP}Bz};OY)kt7&+YLjwZ^
zPsSsiW}{aSYcdinJQ;833qcKtexEu>#OG4QR0@rY1(O-j7<(u6guPv20`!Gr4WNEs
zyGg|4a(nJ5Z05{-GJrBhH}!<kL#^~C-reV7#&k}cM0xEUN-zlLU6>&Bw~daDPS3O|
z^;*uETp_tV^eR}Wm8w%)&sv{DZN`H)c9c2h>Rmyd(owiI{??vacMy72CWICN5^#1I
zD#f`YNC%-DFcMRg111zxuerLu9|ClOSA|w%hGad-V^%VR^e4Hjgg>^W>8wm`T}z7O
zT!EAiwOGUDsJ=wnFX3<;Eo>fIKZ-t(q^*jEk>v|{mWsJrb-X+|vq7jZbn2$uXw(}<
zc8_-l*`qIdeR|joCH!J{-DN<;ENC$5&^owAEEc#@bMOeloB@$%U)5<K)oMV!@@jw_
zIBCgXbg>MTLPnT+GB1x}(U)L4=AK!cYzxoKmOM|`{6;$KD>!tV)C)Kdn_xtxo<ND9
z+;E1Ex8x8qFV1&~c|Igg1LXOyO~W`?4DJ*>+bEBhtNY5OE%{xWcSneWml7p}IC$Yf
zhR@-VmuKP;DNt@@9*JcqTcE6pqSosKb);U%@`7|dsClGcRwt^M>HDhC30a$zN+-xR
z*)Em0<Tm85Z#CNE$j(>J7s|tXh8>j<0!E+s+6-#bp4Cvk+!|j`RV&5mGXA}eltmWi
z^z<S=8bOpQKyt5337$b|`YJ%l>mAew=l61Z&}x=P+rw{l8jB^4GQ$W0p6g>Y8TyP>
zBP1S+-a_!3TDlw?#jj^yg7u4IrK&Zt79qF55R9X8e$>r{#=OI(xpFA4@lS}ZZ}Cvv
zSAgu34yA)^GY|ua;-cdtVKq?j0`iwmSE-na;A5sb)Xw&}`|+%bxWK2T$v}W6A$zaM
z+hO`7s+7d~Z_SxJ=tnaRT4pl(9#tBY?xf_c*9&n6xRX0i^9!b;@Z|80d#&6geFqsU
zq@<&KlI8k@VXDKn<qg?<`U|M~4`&d4WRm~qbd`!pT=+=ZrX9E@SNbX;7)j#10q@^1
zumrVPZQc_3Q|<tKCq=7r2S6#|nRWn__fT_V=MF%MWFQ-FQab>f=ojw*@UQ;t09=O5
zY^9O<{@TdCVxvlD@|#_!D$jI%b7#Lj><FB!&U|&YT4*9~Y<WFPU^{#H(Vd?vDINAo
zvp!3z%R!px{et*hKbPpb^YrHCFvReNfk|n;h><Gr^?H?p#<!pTVdzuj9T7Ey=qzfK
zgl#EQ-WSNXM>g}DAy#&yQk;;GJ2jQN@$IuyeoOa|8TxoT2`*=kVjG_IWsgGN(j0<+
z8gm(PMF7OE<?RGpnrp}gufz;*vV|owXTu=VPGhl{VGT(5O4G}`jrtw%UM{;=5;At}
zVekF?ykR*6*>G7MiV?m<BiQ)v{g*tOeD<)E>PU>+fa4sfgh4x1h8K%7lC+9@aekd_
zRG7Q1Mtzd(-%5Rd0RKpZuAKI?9R&J7(P&S@g+opq+B_N+*?lQ0VzN2RK=N<+&5i!C
z=P?4tQgR-%E<u3TIV|RCQqd?<g8cZ%Pt1^5p1;}YDwdm-4M*@rs@pE`NlMS4H%l-G
zZ>eFuuGH<^wJI6D&IMyX(sP-I{;5numrD12R7r~?V8I)VOA&HD3w=5hb5V618=;N*
zl+5!_6Cog#n9GF=63z%QH6+J-8?8RnLLx1S&}HQ-sfT8V<GdKP0%2V$Cg?%DV0wq%
z?L%*El>jpJ>@G*E3Dk89m_05$NenpPJ;39OXMGuWL-bFnb$>iXt5WM$Y_HaoSddi;
zKD7>Nc8t=x7YiXBmVj^B%}VFa(J$7y`B#5*?yZycX0wO1sGGCoR1kgjpj)prx-~&9
z6zQ(>?>!L+wx>xnyE&0IYjs8c9rOGki$b{*WwTg47w%~Fr=IOBjyLOJhN;5wmW4r)
zw~3l@G}jaGtS_3Y%OOfz6+o~ub)p<rVr0$6E33^G?-__WQY^7<L;(k^LXG0V2q6-h
z5M>rM+R)mBnr6xO6F-Igyuu+wQ2SVJ!=coToPo`B##G(mG#1VEz@5@B2m-m@@IW=A
z;Bq-J@=hpYMJB7^3uf{#-(0Hs#!|w+@J#8d$T!M++PMFx`h0}CKzkOED7ae)`w}9s
z23HSJ%nK{&Dg`TcpmN3W@iL@Y2`*$LpyI@WWsXB`7AMME^5Qis;$qT{=8=(#qGWR9
z<$ZdiSgIn=zz*zWj0$Ci8ZYjlP@X;VWivlk9N$YjwWQ>X*Kq?@6DocQt>(0^#jx+*
z$8b=FJN?JBTTH8(GZTW-YU!v%x0+JnLUO;;NUG^XJ@a&0rfF&6!Freo<?0R|P~aZr
zFo)@Y#lS0ig8RH4InBtAURw&mP@>@RrfBfOz6qVx%PtldM>R!o0rY3<iH6;K2Q@R`
zy)6qWc}rCGPcasz|G+&v{+H<<9FD)sUo~@Oai-j$`(K0+$$Qw%VSc)Pi@awC2V&S{
zFHrmnMYz#Ur+%Bq{uJW&^s0ciiepV`vQaLz$IByA<zlTME8#93ad%H1QjPCD6EDP-
zHwcJP5XsA23bpBBoC0eW3Y#_#<u|QYck#ekKx$eJH|=ah6pYX{e)|Td8G<L)hrkW4
zFEH_@4#fqq93*e7hI$gXc<B^`Y7$QfQrJ;Rml3H89EY%#C?L^)!2U+EjJ%s^<9bDE
zCaJtlIr{tcg#&`r!X&ote7cIfLb5SzRkd5pb=>L`^V^VieILbq2G_=6!AIp<ft!<D
zvOc$wpNnS+jCw%xSVt?HB%|&89m1@c9gDCa1Ak_282Ch&fyc5ka4DK0A!Z;7aY3Jb
zf7sS_B!t!pP9^RyJtkZ(?xP9iafg>Di&JBzBJLLqO5GBPb&N&MTYFOEcAbllci`$m
z1iFb(qpbymR|W1V8_L((Q`0kBA!W}~Vs_{6u>F`|J2-V7oSUh0DyGiimV*)N3f9g!
zi*0x$i@u@``+k=y4N7A^Ikw^GZ93{oT0+9SfGQRCN~1CKE!3o+Wq}zw)`0iZ5L&ng
zQKSoz#+K5B`0W&}N*AJ8(}nvaRxMR7MCF{&sE%?W#va`}@fPJo9Hd|DMC4!naUxzg
zRYvmQ5q6$;y<?v#IgZs~5AMVhl{?XDt^n6;qdMN~+@(L#`bsIYfoGbDSr0rLn2+`@
z#(U2;>$?8i4uXSGSQ*X6_^?FA@K~`)CIVq*_$u*F02|Jp{1RDDpvmmY2cMgL`QY<4
zzWzIi(yKID!W@zjd-Io}lB<u~a=_l3zc}T$v^Q^P<XuE?IUddpc-9vWr_Rk|6F|8+
z1tjdQI)i{pvnhYtRWy6;U3uOVqqH6>&{460V*4yrGzq;HK{VhsBw%W5CDvoYe!>MZ
z2N>;jjdtTD-1!J!fNnPDWqflRUcda<Ouhs^Gfrx@ImT}Wp?*`KMjbo(po`h8&rzT{
zf5TNKCJ+LMd(#DNbl4p7{q2~U#+4?NcGPTX@<EERGA=Af1QKP<;CB?hDlWh(%XZe`
zWS+QR5#jA1zqvs>2Sro}2E`3m!DXPjrwD^0Viv7vYr0Wew52cBF6LVG7Ovr<>$HpT
zLn3{`aQ-rm0fC!zKL(ViS}OLjNwA@g+wr#X@phv)PUFMjl5!E3v{&I0oi3xO(Ty#|
zJ$qns@^$aHjGc0@%A49TU^;L@5fgM|1-@0$5YROa?=5+5hX^w`Z$f~Gkpd^Yv^7D2
z_9Q4qF4QR;tOX*GjAWudIa%MYT}3;8uwaOdlP|v`cL%u{E2#)>MB7V*XnS#1(dNB~
zY6wrHksJZXkH3SwK2w`)V_3~VH4$*dHGMRKZ>Ba4x2LfwtJE>vd5!CwaVUk#T^r?Z
zq1`|k?@!|zF{}x_8e?=<;6#s@!Uhy!iK7*cLqWp6IW1x~yNEfHka3nkjQZ^$X096#
zBIZqVgP2t=VxG(#vl-f(QOkEtZQ3n;c$?w#ZMG*{h4sViH~{x-9Dd4^)#Bb|?cmVf
zH#b9jT&N{nNH&G-AS3B`wjTw7{R~aQ)ajjM+|j3~(xBA+k`3a^<(#F+BdkEx7FHlc
zIMWKJW^;ZAHs{o5Q*G=$b8bCzK20oQp&>|GW0r%}e+NhUwbUcE!;q#>D>Mx0%XkqT
zhD2{|v_jmR-|NuzaC&bFs;CQLtclKEg$H@Wu_~)N4nPc&(yMSEf11qIsqW)C<b^@B
z#{(<5`By}%^xWJqrz?q}g$hU4CGSHVD%4BG-K9DVi&~v>K(Kyj*t^&ouh8~$9{(dX
zRq#Djtw#CAc9nEgdHQdhwKAC=KOwoBb?8$`Gy9Qd9$uD?%Y-MH)a_VQa@R83nzWN~
zWlidK0@{w9c6?peYK8!FDKzwt-a2z`V$P_;no%TuG<N;cob?#X4+EY%+T{7WGJ$>+
z^CG>1G$k_4-`L(g=@m43O$M*v88kb2feQ0A@ZG-N28_&)2`r@dBAwSR`o%s${?#9!
z;CX5x>-NI+GqXe%%FcT51s-L5f$aZd`O*Eg<t^aYo`=yw*oiHi))oDC9t784S4ek)
z3$^YMuZz4yk2K7i7w;f7Sn_VAW*q0+UOelI^R0tRl;cf6!5*L~IWDNKcfb{(4j+k4
z9Q%&nGgXwJnkv}z#=6%I1{jK$9U+GKq{=4V$4~wiy3iXPas;EHR&tP`hDEKe%W0op
zJvBY@`uYy1!RRSq1sW0*Nr8qgq_J|B9f%8OCNT%SUUQJ~A^J;YOp*>sG7t31>wT7L
z4tSr*f_lP`_i3sj{1B%1pdaFYbo7aBam&DxKn%*6Dg-5Z2Y<7$MMb~}+LK%L;%SNF
zlq6eOo8`p=1yKPz;5B3$-@0z9ctGy=N7bp;I_gwwvd*rlVQPl6;Z2cGw4^pXcIS3+
z+e7(vxX*c=+Ew@eSK~ml8BgyA!7;8Toaoh2yk$7<$WRME*%Z>}_SGVzZk!H6`AC+T
zp!d3|(x6;fl1=;L&0hCayf>Dwk9o)&qiq(Xur!|-DH(W*S^F~w)}RDlIw~3$iKd|c
zFBX5B_LwaH<1~^=>bgCn^<`!d8l(2Z5O|a1F!tmDoXaz|^<-(^-{ntZoAj25YgoUX
zqE)GV8~)3neX9jsvqV>W@@KqA>E9da7wg~rt3Uep(^#@~t9)<Fq6bn>k(&2G*}%>Y
zJ*%)qS67=*5B%lIJP?CLI8OJr!R4TTSGK_=y5d5@s<}Dm2#q`l81aXeEiAmAtp}Lh
zBrwSFc2YBrNpJz4^~EFza)z=81PH9nZI^=zwFfK(@64-77lA*R++nO%<&iL=0Vf&M
z9ZJ0_H*Mic6NzBz4INX}Rb7pHuSFnYXI?^@dS~9dkZOoC>UBNL_$5c?C|6j4Pz@m$
zyEIZ{D7hV-3a7>^=obrB{uLoqCBP8im9B51CMF(fj@PG=a4dtMA@3+INNLTipY=24
zDL4H^3)%U8d9FQ%BvGpqWZRW`61Z=dteMQ$jx**SU2)#0RJW1E7&c-zXTJj?A$;ve
zS`4rV{)irOb`fmQ<$ai%aYXPN@T@N)IE-VIAQphIAbyh^T9P2%EKLc7sL<&ugFTa9
z-6T-wBRb~jT+Y-rin(t;g`EAOgX5s0f0Way^0ll8z+zfwvVGlYGF}GD1ndL{J6n#|
zAvYZZBkp+JA&0<`h5y}*jEIZ;n6E<y7puav@8OLALoOnpr=J|O7C!*Fh$xC;5eZ?q
zw2R1pqEoSm{1^S=MTCDvEg}NoUKWw7YxUYl3yEzxak|NO)%A+9J;O>g9MO5?@**Tb
zB}P47tJUN1arNj;U;Sdi7MTV33SH6v_&oQfM-s)6=8up3P>A-(_dz+I*O<vJ=M7f9
zwbYCw=a=GHU*voumnoqypkkq)lj95(`nEUz%ImT5T*loQq=Ey-8}#%<_@Yclmq&6s
zc<2#-DN-%fOKpU3P&8w;MfVJh;p`5cn7iEPwoy$%?`bru0q?1DaLMz6FhloNEZkYZ
z)I3{L(=wdCeRaKsgYtIvD@4{(B*DZa+;Dsvzn;f+amXWVC@CUf5&y|iv?}B@N5r%U
z$w9DC+bL3(E>=OK#U>0e&VD{soWVKhCQ?RI3UnkeX46dsSLMJ(Dub2{Syd!XFV!g{
zy2vjrYw<zbeU!DD+rxF<d*n4_P}m+`m}BJJ>M2HPIQw$J*_USJZ13q*L+oG}F6rkn
zs^?|_QMs0%O_c_v*i3dUzh)aOe<PL*`%)k?`3V&N3c&-1LA^my<d9IsmW(N9U4Oj{
zQx@;6b}0W9g+d#i2aBWCCbF3$lDaSkhA*`$xru6{*)kV;&Og933;FX8Hi+t}EZhQ7
zJ>Yq$k<wXCT$M6Z<(Vm3mCkZCjnwKAtI4YaY-+vLOx~5V{4PK#RPwv&7pvs_D?%lg
z8fv#bohySnl{^8_wKBe~du3d9-GeGV7_N%zhI{g)d<fL&%60vIUD5yOf>Oja-W)aj
z*ie>HwtB={Eu+|G|1*t~>?*jyr}r6Z#!<oFjc0vP!4tSkDc}MoR@vSwN13RApQ9pL
zXgLZh;A%obB_H2wDd6lS*G};68_;y|zD>{$c;AvhE72G0jbO!kp>j3T=o^|wmReoA
zI$#7T8c;&3(-6{o8nVPf&Vd@GHf>Vm*<QjA96+m-p?@^W=Kd5Y$T&5nDnOHN^Z7Ko
zhK-cuKq}c2qWd*YFF)=p5b%c%0liDNn@}u&5f4C3*26Ix(=t!Ze|M_K(%*YJ+LnE?
zJM9uZ(w<ObVDjgx#W2ilILyM#QbiAioW+7Z1{TK85x1sY2Otqt5;>v?<0tG+2$x{7
z$_Bd)|A}ZM6n?|M{Z#m$kZI5|uzoF78k9mhS>b<z2^0y6K&`TCahK*(E!g}tUxPc&
z%rZt+Q#YbUN;Q>mky1@PF-5CVO;yBKvO1P?l$xqmB~6;H)YRR8QmCoVqhGA1@~{4=
zsTU*qZ48HIOCvR;U21l%pKi&bp9cGkR80N%&vUiT9S7@kF)r;jN{@Cc_M|``0H1WF
zK(}<og^6ji9l0_Dq403IkG1IH1?Ttl@U!d626f)csToICuHji<bmb@xQcAJ_h83_I
z<?uq4WJ@P|ve;h4&2u$&Y~n0E(yu~WCUH=LcN&o)<)S>(Px<^QaiCr?x~#1!;k}i>
z9PsXu&?<==s~z!LJxw)4oXDH>P-CkpL9H+YK^;Q8v|D_Cj8281{sjGELCwD+1hpps
z?q!Q_E7%<A8oCzJnKEmOz9NOQbdSVHJDoRKwbYZ8`--G-GJ`k)7Z2)+^FFh-LX_hd
zSgf9l-8l89o<l6n{$39=yEHQ>^1esSIMVEXJnM@zb2&swF#!Ziu?OU^LZz6!*LE7j
zSfg6r2cbnyY=JVFGMTQf$KFZNkzHA;Xk>f;Ll6yk|1AMa=0_S8?UT*-)YOX0giQUV
zM!dCFj9){yr5C5CCy@<?j+$fZ$%GbGkhuiOUB)S03a9#EX*HCq4wr}NOOc2gv4%Bq
z11c<d`i!qjC2K#pvOFez8M5YH!em`a|D-*)&+E_<sv&GfgR>BuF-3-flm`$_%mSm@
zB|4re4a)hQY%~_G5lfB8v`1N+CS~UOz|1n+(&;N`ocrnPV8U(4GHNy>PeYBAW+Y)J
zr5U+~KTSSOlImdn6<G$QNO>t$N+6~8gpOp71#ex)Giz=?W1HIDyO{34rZf0~*$ve%
zFm?I5Qe;a)>LY6s^Wl4*$oi<t=T*cz)+wxD!Fz62276U5BKNW88D8tEnXo30*-tRt
zq7}qmj@j=;+x9X0pF?;CvRm*m`!R+9c1h?ldwOe29(;FxuLRI&>%A$=Ko`PTuL#e;
zkp!HRC+}1+B^rM&e;UuCh3k;rt2!mF;Fb(ZzC<{T;r6|lZ#bY-w<>lrmh+a|jVZnh
zKGf)Au6v6^plDX2VM(rga{>lzuJdle$NrIsF+q3(R@iE5_I7^>{^ZM}y=|xC?K1ka
zh#WkvS?_K5Jelj>zz{@n9ldq9?l^E=I94@2{OE5$O1I5qKDmowj7MmIPhy+&P8KZn
z>=doa#0(@-Gs*vW0HhmH=>tkfjIZ?CLwO=7jaN(fPB)@pl-P8w#7e?C{VDxo>y&>*
zSf|pQ>vp&MLZKCmOck5B^*n<w&_2SDDP618VGlN{&U_hYt|vov=}Ut%Dw?YuL-hz<
z(SPs!cYMMR!PK5*Yq4T{aYwqSgy;!8(^7<`>f`mOv)io(W8NBS#<5#}1J3V@-5Sa@
z%6Ju!u<?4R99yFCdPb=6%9BYb;1L#V=6V|U-e!Vrz}py$e&--9o3RUvH<=C_G#xB`
zx0=b8t=4##gx#XuTC|U0kA}|M1f9>%N@wppsv+!JgTKDowby5XQ5i$mQl&vT|C8<7
zi?0!Otu?pug=qx)Lb2rd0YnOv;Vp9Q-JDgy7`=1Unx>XNM-5_Pm$D#}mGvTOq%@Za
z=_%EvtN7D7GM8`7GAP9%FQiHd9FpB!9u69=N#-&e7zwH7T%%W}p>Q8-ZsGOwo=hl_
zR>_-~DAAgUZIxtAIrmnyZCfR$)8E^mk$d017F+{o=>1^N*E0lBRtddztdbMsY+(~h
z;>Uj{d$!w-Rmyo{+{v&;W6QE)@8D14t=K1odrpM=6S=nGcuB)8C&f3TEZU^cg530X
z4&vhnExGCI3HY(O$@>^S&S2v{gwK<?=_?FD6gSb^Y!v?+ZZCfD(jFBQk7XidkG>{F
ztI{4NnUzVv#seVjQMHa|vPYE?t3_ytJ<3FlwMXd-VUM2tGW=qDlz;Wd9^EdD5Wc~z
zYlHNh42JBm-D3|H>Eo;z5wfv(1VSEkeJk-6pxmAS(Twewq-X1j{`(e&Nh;Ch?4T|W
z5=ZQ#1|J6H;AMK?*{xE8H1ASs#<5B_;aOj-(s0gEW~l&$&7m{p;1bQ!^`T}dqd3AK
z%}_%l+$#}0a4$=+lyr*bQW_KOs4g&`WaN)%<Xg7r^@+Bqy`Ku>1j-Ps6?HkHNa{@+
zu}#YN!UWP0I(=!|5U(kScVkxKdDB!w*p~(;eYG!NmIX#-J={u_2IWjnwl7DdeaSQ!
zqPsjOJ$bEF-h=Cv`C-1*o}Mh{3YLj!J#XU1OKhj{H+dWq4F)op!*YG^M^o7EdsmqI
zcV;0CE9G~fMoMdyNSIQYdLe&0N7m{`vkXe{+lQ!90>5RqR-cw&ty1Vlt)9n)zkCIa
zST1cr(ht-1Z!_UX8XI3?3PrCCwy}}bbp0CIwvCP5^mm8p`UQp{%GjW{wyuTm)(1@2
zSX7%?m!T5okK1dkIl%MhejY_M9xbExbNp$%QG0N=W^*qOB0YXsl9QI8Qk(>_Im!Dc
z;2?w9x*TmMbJF1qK@=y^TZfaPw_Oe6M1KQ5aobGhlS2}))WIjQO)69P&r@)pG=)hZ
zW|H3V07z3<sT@k#jISiOW|iWs<#UKB%#0Fi3ey+D6y8Z(!lp3)>W?XWA(BUwVMn%b
zu<o(BNz>{u(h#1%Ck`$ww~E(~<4QZa(nujr?sCRNJL^-dRxO}=!+CkyQIHNjYnRme
zOu6b1`C&TL6Pmre4M!FP1zdb$`<kx1Fp++TiXZb2E6BUF)>786laY4riTLjn{I?GO
zt;c^iS8gHWkS^0S!}eZ87$7s;t0KliH+O`lOvQ;5f=CuGgH(96#$=dRzy`!#J1T!?
z2k|Tp2Jy&#{AJTKTSUT*S#SF@@Xb;@;6!k<0l)bx0YcoOr5rdF5lj+>1S9Ia3R>%n
zFGBB-+bm6#DMNM&a<DbLS7J2O6=503%dexUA?{4nmTmB%CYARwYIMN+h-_Pl_~4we
zsYQTM#(Ixxi16nRYQSQvsUsz79C~z}D}zu*V{TJ<09}f8;S2PO*9HC+u`Wn((Noun
zN4Hz#X?DFhWO9?*Jw~n$G8!pH-0Fi+c6(Ah6s%~J<@S3eXoC+m<FKUtz9f7&*ThTO
zzt?sBw;u#|X{tMxgZN-SX_o@ljMn=Z4czf_ejCsFB3rbdGcXh-Tm&dATppI>2p29<
zYX}-rvsyKPSsgM$>!4W7tX}<lYE~ajzj#*juZUSKS-;yrysbbA-@}+~(*qY{RO%(9
z5zcf(O!O5wi~V;Wgh`NU%O;@X0bR-J-4?Yiqwx#PPQ+$S;Huu?=@}rfHayXQ19pGC
zv3IyW-5lOgt|56=hwisn;Z5vAs6T^pXb9Y5TYtf2C|(W~bln9<f-Yr|8L_v82H&ad
zotlAIA?je->Omr2rU}ul!dQ8TRY@80?WYAJwLW<<Ak3gohT+-LC!c`U`Xcl7NkKVv
zl(ZMbW@&$l#C5o|zd&pKtK@m-iA{NAT!)#bw1UnTnwVal8b`)8*+;l?5T;T-iE0Ry
z($fG2=dx2xEk0^ISbQ`~8&s!Td|rw!g-ZD{`o)V6|B6_AJOOSmD&=L(;=b|-j*XiP
z#9b?v=cN+nn}oIA*>B{+l&oH!ti*k1tGGY`Tq6uoThlzc^HarHVXriAvDW!!$s6H}
z6))}IpzHeYItUA{(K^euJ=i@M9xFD>BjPOQm7FUe3^9)4xrmV}@b!8<RqdyL82S`v
zsYJ~nIzOgS5-NA!S9IoF<;|GfA3~)RqOfu|zI}hnZ^;p1=;Pf>a5;MN>+q~EGV_FJ
z9-dY5Qvk&B^Dcso^Q0%-F*tZVX1F+I%}&L@{UTbLCVZvo<$Z_x9q=BK-G|QrmtM5{
zzkryX5&TV!V9T-5es;Z$(^fb{xv$)4;HG1or^ZQ3p^sD2-d1rhZj)<cv!CueZq%{q
zKasE0_w%`Hh5wv6gpJBH-*D&SbiKysxaes0C>@KN9Huvc#Ap+bP4`xO=3~_(Sn5X(
zO9k&lSQ*5LlGV#?Oc}UYO8?AhFn%4EHzE)ektxbt5Q7VR2-kZ*Bp5{4gkh+Vu!-b7
zZ2R(h8ER}l(leBYzUnq19a2qCwU@nuDh*1hmmE9sR2JnF|9Vk%yp`WyDK|v=YsKcw
z^GqM)$i|F7{y*k*A#@7Clg0Mp5wT31l6p|~Uf$P1fxxb?I_r5dnqx|bp6{i%wm}CU
z^Ty2M)I{l`E@p%aLlV0Ucqj3g;u&3T)Dg8)Zq(&cv?@316q75)iv?Nf&T1{w%-4lG
zb~j)Yy7Tks7wgXaD?)ef(Q$JjZT-lEm|ZK(nNCnz9rmCppQyDA3w}9{P9^!sK&Qh0
z5qPE<oTbiwVBVfHK|YLEi<`Qxf6x3>iw(l0|H(K%mPib`8gcNs(TRi4*ZBJHAU<EE
zagsqVeg!I})r()A@>|l24S~Fu5nPU5T*I@z=*4<(%H~C-5DQ3HUz;YN(kR56t}o-N
z4pPBXLR+Y4S|c0EPf$YqtJ_o8QU=>bamJh<>!PM6sP{2~58GT4OeG+Lb0kECSP;{J
zDeyr}0i!YRJQX{eJA$~DiJfrEz%=|rILa4Ljtwa&jWG1%37P3G2L`a|hO0bqQwH7>
zy=v{LX-zLmKP-u>K5AC#?Md8<P|i&kn@#B3@+!r8qlBnUP@mHk=f{ydPu`xOIbs+g
z0WH#OiULr!mDe?MihHKo%@*l4;sOzzOXLR1xSs)+Ga&4jGb7sr8KTP><QroOC{t`_
z;kOfGxCo>VI5YF>FU9=&^Q`mB`z+NEDtZ_P`}bUe*k2^dnnD~fLWJ|97h#{EJSq-=
zfr;tX7Q_wfj7zQkb;)&fBTYFEk4vpQi4&<vcy@rV3ZkcDRm5=aLuM`9;Ys}3Bxb2`
zj%;F2n37<3uCMs4K7p%g>ZscYf*`JgFF-*(%7N6_L!GZ6ioWciDrj&mk>gaB)*>FZ
zX_8m`Z#hlGN;8!On)+qM`=*15Lo*Wp;KDICl=yK^lvpAtvBg4)eiQ;<tX9vl8FErB
zLuE6mynCNw;(2!7d)Og|oOj-NqUVuferq1r8w&TN%t*x?SJ*U^8y+6c=jB8isn)7=
z_`CZ2a$_rM@MXBgTFZW3*fhL;eU2J0jvzQ1O>>JQ#e%2+=S^#*RUZ+XOod&$HVqHu
zH{-uEhj;ImHD!%q<nA$wer^}51YBeH5NFQ<V5lDaWA{+LL|K5gVzaT>I&(9w@0Im7
z;!Ee<ZU$6zH#VnO*sQQH7Qn(-Bo;Oj8mKrEa0U@E7KMn-_SoG&ItH5>5yO_cR|utr
zAh5(+6m%|S0yN78ofL$><6FtozvJ65M9f3J)jAR{*^6%Pv=6;cKrjb(SyW)+`|!e&
z;qcH%$-WjFw}&q=;v8+mKae78rtP#$^kW_mV52<>j<uxxm}{ugptMqx{h0SD1q+@`
zqs0XbKsG2~VvLm=bgQ2*3zaHYRVT&R5P+IDUdf4X)mBRhN$_e-+(Ot?Ph^+W7%77+
z#PS7^c@=S!!dT&^=zUHe@WI#CY9vpWIet{_N|3nKe+Ri>I5lEzU+N!0$q4nOp2kcS
zbu@zB+Em1MZ<+U)wp5`704(OHi{+p?zhcy4ol&LKA89=_17<mKu|u>}s=W&XD18|C
zRP!GH6#{FLLOI~AV-AZ4LVC7o{-^Y8AH$y}Z@#3;4m*_zW6L2tfeDW)r59GuekM6R
zbjsJug#4Ip)c0XCvZOs)oc*^{hj#=PW8Mf7D62x)ti!(Jba}iwfy~f!KWe)4uQ}7Z
z;voBxCNne8%QB%up7Oet2@*|aJ5oREdBNX9+p*G&Q{CLc5JZVGdh3X?tGXrvxkNh1
zppocb(RIUN)E)3#*pnyS3lgY7!MAeK5g%uobg{jAayv=cj>=maUrC<(n%1Upn5UXU
zvAj0`Tt6lbnBI%+r2FX?Zzu7u{%j|m&wHkb8^{(1jCqek=dBq;0-u#B_=--Kp|>73
zl2+-BB;6M4fA_C6Iw8UuC4eGD5+;@PL^C=|i${QFdtyb40HvD#HF|;oeOOmKC?O`@
zp`GKY%<;0Niu_8dng>BF{hJ<a*p5*A4x2%g_fu-d*}(ZbJnPE_PA8|R-5UW0?;SiO
z2NoU<nj-jLHGs7=WOP>iW$a<kqhFz>{W0{5r#=7b&$QoW-MQRt8s4)raiG4SzK5xQ
zw4VA_YduZ=At1Y}$zRYF{r4P%UE^+1?@a%kVFM)q>_<Tn@H9Q->>|LR%iBWDI3nPQ
zc-9vY5XLb|2naw}2%I8^7Agen+hb0=-ntT<GV1_=8^n1`vs)Ygkw&WbOzL&O+aWtw
zsz&qzM37TN<AUNiM({H<g3S)C|ElZtG^Q(C^Ae8;=&Fua_=#M_t1u_nVL=g(^-`O*
z!>~0rLH7|Nbxtn$S%zlvg(6yL()}_fWzKv9%P>q?FwA&XhVjOzhS+H|ln88!_@CxY
z3$Y7u72~)d{M>S9An<HF<h$Z9eL2Q^3S-0c#kkmCz<n@<;;@l4>+@T;=68(^<;QpD
zb~M^$^VL|#R~?^>cYGomQQ~W%4?`21b<-O`H#ejv(PgSA4249}eO0K-G}-x(@}8lW
zW#LEVE4`H};mC^MOpMYS>~QK@vSM%>wxw@umuus=vr8m3GaRKN82p5<G;)(ZgjBvW
z%b++@&K;=X63cZIOPiGjpVDT1VTx9z&1wiQ7U)zqt6KUrEuumoW7XF`1C+vQ{Ve@r
z^_741M}2*IvpqdsZ?u|xwE)GrbgRUkn@y7n_8O_m`X8A0I-xrf)(m3~(jRAZZ?|es
z8u+)tFI{Qi-_#WsDz=RozRKliwVZXn&@zk{h=0~d$gYzc1bRQBW*nXTD|pryojjV8
zlx8l#Va4%la)6<lxwSrA_^b+!rgKCclti(urI3mfF;hs9OJbr3mo#pkX*c<>i+EmU
zAu=it2f$TyW*2Q)I}Ke`$BJ|KD}ys3xQ()MGytt)kmdGM0|Yb2a;L#q!$QSK5fqWf
zP+SmWR~Qb*`6_c3lkyM=PSP4FovDiQSeQcCGp%1`13DE8(=h$wg^7PfEKHsNxR;Zy
z7qlA1YK^bG>~>Xpa+Xy|cNe)F3E5DIk?yONbhjGoNvuCz5<A(bb-b$Eb;bFclR%y%
zws7V6RhC(=fJSmZn<qgD{!BgI>=NAI%DaJ@aU}S8c-9vQ9>Oh3bPG6mzF#0m7B0F|
zcve*dkN_dWODh2m01P1kX6P470R9yr0pw)qHnGa(n$YH8d)M0O`CZ8Y({T?HVW2}I
z*v<AN8(u3JBeQIHm9FT2c%CcRAzaXL1KKg69|?I8`YtFr-lDOQU2+&qdiPK>j^wx<
z&-x-cV!2Am5CIX(kXOnvhRP7zF?*@)nALbiIDDf@D>3|s`)deO!1)JpZkjz@97t8g
z*^Urb!rV2espfr(Ml<03i5yfi|0{>@!sK?Q;2&!WTH5-z>0k>TQXq#er<8(94kF>w
z(n*|5Kv)Q!LqLw{l1)K8M9A8ByV0PdJL1&Kco}CC;KJ3O<l#J>MZo4Xj=@Y7$z6n#
zHBE|uo52bCsp1Td1UD<x{CII3%~6vgSq#O*1&+-~$dHwps+Q`tbuApnK=6t<9w823
zh!Ypw9_~2aW75PtyfDXz(2!K4G+g}!!PTG7%GKWeR6}^B4VQ$(cFvij^5HBXDo5o*
zRB2F($>gBU*90AvMgV~y1N<wtDe?tm{*nj3it1wRTn*X5)?<HT5-G!k)Uw*4Q)hDP
zNo{pB%9s_+>b~;iOujG%hA*`$xru6{*)rQ2^A9l1LjL@N4PyFVvv3Q0fd2(GlB`?l
z0Vb|W=>h&`idLluSWP3fvc%fw>JYqIV>Od^<pDm<S8De0^o!MO{?#8f`%=Bet1~iP
zE7@DSQ?g|wbq^}`@trERZnP%_dow7|l}~k8SM)!)U=(bPGsg&D-N7QtX%_NE%Odui
zZPR$ju38%$dKXYLj%vLg&-$WT$8eKUtOY!*mYps~n5bBvbtU$1)s~yasE+r=lkvTl
zV$Ggcy&u<IWlan3xdi2a_Z$hV5^J%JOpcIPh}_F`d6uS&r7myZp*@O{**Q9*Jq^hP
z-0!Ov^LrY_QkB%=Qn@+K|F#=^{+nvzhbGCKv}Gu?S5T;$l|o*HY6#`ejJco6-_2P-
zRLbA;snVdF$jQpzN!!d}Y)vw)x@j6DeWuatCw+;@@v1E2Vm0NJsF6}lq4B3wQ}(B5
zRjMh9;A%dnQd5+~(&Xq$P5A_%6yCu5=ohOg{Hs4|%62hFd%RU6Q{r^H$4KSG|D*Z3
zyqlEE!GZAN9<zhtDP_v8R+t%SA;Jirh6$Nuc_=?Kg5)2iz$4s-hZGA^k+k0AZ{kZi
z5XvNO`;NM#W4Ya@QZj-M^^|7);;Z1jXay}kn)*w+?gAyE$zF8jT#|?JUZ|L?psPDt
zm!Ft)NQ=cMie&1~AhG^gBRotQtb`{C{YO;7HtGj;Hqt{ywhU|q;a9MO|BCP6Q-Slb
zq|1E(VqbQE=JHN+^u}hciW%=RJrBf?JFhdbz6b)j^8W-|jn={JlT!AbCQgcKtEbdi
zsB-|KW95n?K=jHYw;ef4>!X5L0oHMZL>TMPCl>4QpFyN;ibq;F<QsU9=~(Cd_zuEZ
zM|KdxI`n4lS?30))q}!1&tR-NUB?liOV&9x-D1+gPb&iT6k9n@gWPo>9<SkpYcU?u
zao5Y^I|%14*+B?*(VGbFTBQY(TyrIUG6<+QI;}gTwr+pwqky_wU^is&^d>NPYiYPi
zk^9h_99jMmr<OCQa0<i&fmNv!t6{fTeJ;N56bSXUE$;0WD=`vhCdTr02<8PtdcQux
zIv;rGR*mwl4$2>m9k!QSME)CV@K}(&U!iTR$?>cYSIaS|tTh7bTCwnJ#C{$R$yyf@
z{}>tZHqx9bHd;5fvB}n)y`2C&8sBOF9ei42>0A_(zoit7Mkn<iA?<^d^&am~JLXlv
z`QmWC1$5MO?wR|J0tg-2hSjl(T#|RFg(1P9&-*+O(-+5|zUL@lg(#n&pa=Vwz9<#L
zP@kXWZd!2zJC>YV)SRb!De|65lp64!lA2%y8eOCI1!ffn?JQY24&B7ZGB!|+1dV8Z
zGpM#AgJKR^UyUw>C*T_T#hw8E72yex;Pw(3c%Gn8v+J#jGqY?}$j%~t05Z@i#-=_h
zXj3=EqU?2h(z=qGL)6TYC#_4mqW{kM>bH<Ffg0(~X2cTxLd5szzx6y~$H0C)(lA>y
z-Z5aX<n5zooQ;POJnM`6>EIG2dIS_azl(BQ;i4x+ETC!tGd^T+){Kumrt*4#A?ExW
z=oim<{uMFj<rL{Q7Vu)_`W@k<d|glbEm@|0u+PZZKY#Cdl{3j5N0I|j-}LBK>}f0Y
zqmprzt2$Z@ab(s9b;X5=X>&MbWe7sy#&RDA1=(Nd;b#|Q26f(_Q!|brdoP~#MUX{t
zkdkKt7?x-6m%|H}XXX;IP1`0Z-7X@_Mz7>Mj#v<k4sj%q5DI*-S!IpZ*^m%1uB#dY
z#eN8t>pKpTgC|B-1iDoA&XE=zreR)ue&940&FiF!$!kjp20kw`5H~2z9DeL)A!7=v
zb&lc1YUI5HwzxX&TXF;`)ksA}EGi+4mUdBD@@loHETvz(sPM0dMa2^U_o7H%pr&N^
zs$`}kCc3-G<s?~|)Q1MF#(EOXCj;BIM<tqF9nn0fE6)2PCKj$7g>sqoN~o096FuE{
zUT@Un%`S@#uDmm-8Alc$hi83}#Ub3H#IS&a#qbGoWT9f%4iDcbE^`!F{5eORJVY)|
z3Tj-QA>%9bR(<x08u#861l@plnFKOfg`g2qevf&3AFiXC!5|cJ_YzG9%Z+fHUcg41
z<;jU*iCXKRWr`(kr-QuU61OtgvRdPo+x<C<T+wMTT54E}96=FzDAENndBu7b!60H^
zLNPZcLdW?M3ckRKaw&4873&Qu1_&%%D>o?uXcX>qk)WeFicfG~1oElmxK^b+1#Hko
zd{>kkP(_&GEj43f*1ilr{p@uy9cCN?1Sz`Q9*Ux8&J54=&Z6yBr?FJjBnX(Ar>4Y}
zp3;8W8X@CM%@&JL*|0@FL!#c2346;$-q1Hwr9rtGB!@&j&V)p1DXXPx_)CNC@b|#a
zhqFM=K~EoGqQ~=xjLoJIrVM)egA}dGpeIFAwG71agK~7L1x_QptDvXv07~KZc$j{%
zhRVMpG}Ip59_J|m)$Q@;Om0ruSr3}2c3|nIdeTdO2^@E&m;OvwocC@{jVVVf)k(kO
zlYlRJO&p5i-JAwX-VxM{qmljuNbHM7+QB7C9~DrrKKfHh!TG6=<_TT6sxcP%Ar|%m
z;zp*zfE*yG(0Nh7oE;`RGYcA3Jn=@VG$<MOU@e{(Wr3U*&uyrY<WrH0Cyg-W;<+J3
zt8(#FB+ayVs@bR!-qqq+1C(O%tkW-EJo#6D7SAj9S6h`4IsiD*97mGntap5lPvV+6
zd8iiInV*(r>%i%{hb48b+BtNZEQm9;^1{#HPU3O~T^_nss(<jI)(lzszYX;0YN36p
zu6R&VX^P9Aa6{An;pv%HrCu8r=Q!0r!jc<yP}h+@;HZudgdeEmc@S%N>A`3B1{uV8
zcTzLF`kQ!OwcE~%zlo*{JT}3ofyZlfPV^wO?~jExBKY<_s1zrzq(6{jKi`q^TMBat
z8@^HFy%(aXzNj9LkC;ufQUzI9T+D0qizQtXHKnIqR35K4iny(i&e#{*tvW81z}*p(
zIO>dZPT~$tnH4rqVl&TTQ=6Dw*VlaLeVt$(@V+WRR%=kKEy;eogOR7VYvICV`LZF4
zePy2i1Ii97mX@n#gnXjA+{CZ-TjV`?7wAW>@RA>t$`kpK5hC8mNP(PmL-_-`c0P|x
z3*@t^6q|GuUVgA{|2pfFJko%YFHt0*eWpzBL9jHC2ckYTT%)uPlZ9OehMSe*ba~gN
z-MCbaZj=*O`Q_!knRFrqj5O7rEF2h;ZHiS1Tbut&MyolTSJOv9dRJ&B=9*Rf0u}2K
zVx5z&SPIXY+5hxz;7ogzWTQA%-=}gs=lAoaxX9aFY9m7j`TP_qM{%Pm5_-_19k{!y
z-oS(Xm3kBIOib=3(teCjw&}(hYE!J6JnhY8q^G3n(>N0SlocQX{>>2q-sl<=(CM}C
zhqQYS9X0JUcK_R{X@rM=M74D0IkUWQ*v6N?2-#4orCEOe6cY8`2z4N!VE^UOop>|d
z`eAQ-8pF!pNB6ksx>EoWjAw037{gOT$FM0op*7$7T~rRifLX$6%h#p>t*;cRD0w@F
z%8KK$a0MjfH%LN)A0e2ugcJ$1@sQ+G9lrX)u1&b-lBChOde~cV>ly^rR$MolKNI(L
z2JY`168B4Qh46CTtUr(QW~1@p{oI<GK>2l3Gb3VRoS~j=*|<*ivYC2uI-y(Rre{Js
zQF{1q>+m!$@hn{r4xa-Vcyy@eVXm(z+!{F@L)ch3AhuAYL8-kbJ0J$7IffewcaXdl
zxtgGe?QayPg^uN11DHyyzb-ZC_O)3LLWYK30(do(4GZ_8{G%_r!#xj2Z*8%K?~Vx@
zjAn)K*O>cmOG$!bz`KGWGr~TMGSYEElu7A0c?y3zXP&HE90bLKE4P7OK$X%n(xrs)
zdZW4rnNcSd9}yExV<~U8ao+=PTUL>Kij;b>Q7@zz?i35r>o4!VLB9RWZqiVG4#6Do
zUY!N6>}T_tu<`hp>_Yg@#4fSSs;)g#tD9Ql<15K%d}YgNc8Kz`DcMlA*I4fcT*vL*
zhv5h>+n>-c_OkJ>{&?B8(e;zKz<Z*)C#!=^d9eIU_aB-5BE4z{#fs139<;~6o}ZYb
z11Bn%g{cHY;{biBI^JTXqEIm*raAMKQaJ2KdVcaE{WUO%Ezg6~C4Teh%ewBu!?y9W
z9afO0YE<C7a&VE;$_&|iltxdKbIxXInuMJU<d;DT{JX|tm<!RK+)-z<oU`CZa3`sc
zf&T>kyK0)<tBUuN2eZO3U<8}@09xyd+fH9TWpTIKG!&#@pUZ<1o1v~S%a%U+>E#wu
z*^|s_!y$$wncB$}_DYk?d;Dub_5tr$`X|(U3(-p0?D--=CL+9!mX+hsP9~~c64aQm
zBxt5HD5w4k;u6)EC1D6%iX~wK{o*Boe?=?_o&dLF@v%9>0`X(lDs*@c(9hsLGK1*t
zxE|+M7qQ=KHe}JF*8;*V8bbc%LReYexu6y*=lUxqi(}=<a$^H-Czx!a3u%Aq7kTlb
zSXl?dbp392_`(W>4bFtD41qj{#nHrH+^n}7<K@}P5V78&{z{oYbwobD+F!1oOjc{<
z*{l7f&2oz_OK8set4sB9hG2N2QHNeugF9j|U&Y&;y<=9MWIgI?f7zaL4bf$A(xUz{
ztSJafLrxX^air*G1a0rdpE>zwyD^EsR<!ElBV$M)MsLyGBItgNnOXnniF&;SPhi=4
zdBvgriY8L8!c-kOK)GFK@nmJQ)u>KmA)mrM=dC8191u@{RDLqTdn8Oi9EC-XvI1?A
z@q^`!GF>DyGFe9Q%-Jgr^K+Hrr2cb}zq)*&+T!#*?WX!@k-w-^9&7JGdn@-B8<buP
zUm)w|6rNC`_wh0fYW6mNWwnNjCq{5<QN4t(X8mRD*2IQ$HZ-gFePZzCNV(CdH%5>|
zwgip<o(WW}mHtuU5_YSVMcm4)Kj^%1n((UNN`Iwj*TA4^pBQ}MRQ6ZV7@9y-1t^-t
zm}ZG9YkS(oJ!N3Lguf3f*Jk}=kbJb>D2<fL)8G$ugWKAGhs8ot5k{&dO1U#pJpk3m
zUr8?f5%b7DjC@=xO7K98XvPC#`9YOz0T>L_;8FYp*sV2*{N~Ygv)nG#M-EI8ORYkJ
zUN{R!?3&Ca<E@c>)n-+&=uso3YLoIpOC1mum#7I*8S<B7FilJW7P5G^LVh+fQAH~0
z+1<1L8v2D!nz#fPf*7=+)=D7xk&WVh{U=y-HO(q;PHhjibtkJ+)z<9ghdlC&MgGd^
z^7IJMQbso8alwo9WUL72X?pniN~<;9+;YYl`}gaO!g^!R8Kv^RGw@~ej9LF!s==V3
z#z?D-G)9<vv;I;%-*C#tvw+!^jfrum8+u~8IZ<`fs@Er*!__kRs?bfPH8qJYmbHpw
zm_<k^JA1`ae-J!5HKM1d27jbEO&oH&zp6P?YZVWSRH}O_llTw(d&Fd&SbsSmN*|G@
z(r?3Ib#q94WU`J;0fE}V@k$X>2!t2&4OnIr;_JQbX>_p?La9}40sle{+z#%kk5_9G
z-~lBVjwVroq|m|dR+Xp5$|cOz8T3^tms@D<*zw7FaqmcZs#u*IDV9pe1x=FSHvjN)
zZQm>w6Mv}?5tx%;FQlZdg5g^utzrYqIy1v+bOd&3K~jPhu*cDyy%|C*@RXg`^cby8
z=sy<Iv?%fCOX#8a?QN&k<N_2;e;GY)%}fKNn`imO)y>MuH_sOMJ=T?TE6e=F0vIEb
z7eP^`&0wt`o*Uv`t~Oy`&)!B$;=Sk#ap!l=&%?Dc${d5mq6f$K?#dpoOh)5gD*hse
z;(jVVupGt5s5oN<iYHU?>6Iw{f{K4yjp8R%+<Xj*mr(I<RQ!^P@yDU4Qt=HczC*>v
zV^KVriW|xCz6{IF48pCaMz9ajgcR(=x7qkO<1*%2qyq#a!{dSVu+iE;A|1C7(V_&=
z4Od4=KGK?8=6YJqW83J{M92&}-hlT>)UXu@9%~1;czc0?qQ6KllSdFw&iYH9we7mA
zFT48bG|NeQxMHPNIK1}&bHrTt5ljQ#-S|_0#&4jw90iS++VzT5+)Blt;9Hd-L-Me}
z>6H?vEZec7P~>~7d;r-=k?_5O;C9O7F6C)zgwJiGL25jdnHt}8sX<ujq{dD3w1XPn
z*HF7#LQs=lgNlEkB9;)DnN;qIWv&-Q=Pxp&^JgwPX>6V7e3+ibqw|;yeEm4^H8tsd
zm5TqMA{L!<%YqWubK7W;5UcJ`Q#r~0C!6DZO#T(95s)&3l}<wZgr0^I;&orS{t*73
zV(_dKp|-v6Q!#xUiZ&HD9FHQFHkny=Zdm>F%or}X7^bmxV)z<*8jfLw*u{p`Pr}!h
z2w#Cer3j}t5aCO}>eQrnF%@MhV$nIbT=^KV`X!kOvE3yEVWpE0BlL7`2|-PI&!plP
zRKybEAn|oEGdiE=qLaqfiO!$W(|B~Q%D~sF!PnHJ_X8>xosfji1;^JnWhTUoO9;YB
zCn0___k^G(y<bxC+5r@IQSq%4QGAbzR}G?=rDD-q6geuc%%gY)6{ntz;&dtoPDPQY
z;?#BYjEWBxP<)(<pRGsnpH$p@I*MDVc=iyA5h{L2#lKQ9z5zv*ia({|FQ_<U7{yss
zJm(A)BUBu>5yc=Cqnl8asd&z26eCo;^-L7+qT-*=Lh(~7zW-ztKcZsjDJV8kvGN=g
zkE5bO#S|5P_*4{cr{XJHP<(@mrRSnpLB(BLQM{3g>GM#usd&lxC~l+TvlpQFD=O~X
zhT@G>{2LX&q~duOq8O***Hj$79mQW!@kJ`~7oj+Xif3Jn;<;4ZehG?KQSoO_NAWo-
zmRyQrITe3T#Sf^s{Bji6Q1Ln{-ay6nD^OfU#RsYQ7#06R#UWRs_ya2Lq2g&*p}2sG
zms8<W@pCHvn~Kk0jpA>p*mVtxQ7XPqMXdB&aMSg!%+qz&ovwtH&guGHdKxb`b4G6d
zDZaM!fqU_%)CcGd^noKGH>pYQ>s0(V6~A4C_;6-Ie843HVWpE0|3OdZmJrmW_s>*(
z1REUQC#ZPk^(cOyiXTw%&s03=1{ASmI!M~WgLf$YN^564fEocigT~g0?33teJhClE
z#`AUrxc(~qDY>5BNJj=W={=5$v#5wg=YkVIKg>*sAGm}dtaK7$n4ZopA*f036e?av
zMJyo>5?>!at2ihvUmt=R0lucOb)xgt^fVrwmf4)h*W}2cCcT$Y@eV3t(YfIG`lQT+
z7;p(eSm`9hAJWsgB?L9;-ATpC&q8r36^nPGh$YEE;_#<tM(o)xVrguhh&_a!#v|79
zUwjEjvh<Zt<4-BM>5cSXP?O#-37u;a(YfF_d`D(NJi{dfVWpE0tLB~%)TFnBig!{m
zANjhT8J&|ZI%#a3=)8xX#`Cr1zewb3@?TJs-knr@oQha<E;zn^MP@?$o=XVAN+%&c
zNKfaM5Y(jiE-JP^2gRjSykZxM*HCf(b5UGO#m9G}_#_p-dLD|yMo@f{itkYIKncZ{
zsQ7vr#Y0q#?m<ze;w=>v@1){%55-0*mh45bf{Ht-cq0|7Cs90}ioI0aNX5fcJW9pV
z8j2NE{1p{npkn1Tieso)dLxPzR9xFYaRU{1H&MKair2PK+(pGhZ4}?5;=X+-K10PZ
z`%xT6#pMT3Ttmf8Gbmn6#Ydix;uBPCy9vc5RGe@#inUa1xCO;#D)zn*#WWQcya>f5
zRJ?(Td#G6YViYT=csCXAr=oT%iWU|3Q}G}bzj+CYBVPLd+q;$!If^hmNi>NQV|+vu
z)YuxuNmxhpAQ;6*G{K;Gx{4Rc^vra2y5_aaOmAF+-r{pX)J=RGL=>-zqFzMt;z3Z<
ziw{IlP*gmL;#I$|s=B9owx_o`vo2Y)5Grg>cXjnwRo`Ea@Ba(QwMUU$&!qM!k`|Ni
znEb%x^2d-Am>gsB5|h^BNV-hEc>>AzOg2A>q`>4$CSNnT`6(o~GvQh4g6FLZ9{nhI
zJfw^TFN5X_Mr9U^+$<Q@R50|ZxbSHt47?{8%tSEYiS#X&{>NhNGx+oW)tO(<+?ih;
z?94=EZf9P}tLdHDSlytPmoZxCYvDuxFRpGdOF?fwamoL$B0kDo5g!az1W}n=5f?0c
zMKDW2mqaPxl``jGX1ys*lDeAp6~8BSTogg6D^#F`_bCC7c}3j^jTfX$&2qaDsh#Al
z8wV~%cb^f<@r>}T@}YBM`AaDX)r;p3=B0nh&E%nvtF!~E-)3jlRd5bCBu5YzK_j{5
zc76Rh3W5$lo6Fr*=pLOt0HxQY+ktjWi&OaGLOM^}atG8$EuR^yV=JLYfwQd^r?^fT
za=$u$X?Zs~K?}k<6atcqpal^W<d%_UW#oL~yUTxPZiIghG{R6u8>(j08DL$szF9kH
zbpP2E;bft95Hp25`hF_wZrka5jp|51j*>+j!*h;>g|}T{I15jhD-78%G{&YAD`PDB
z$Lg>og1_k1vQ#85xVPWfR8xzq-G}}j$6zco23u?~ST&>dPp9uVa9}U`UZ}Db&u{2U
za5fpOX+N&(sV8p%442H;pl;j_Rb<_ff=NonPNZv&lt&!SJ2S(%!xqk!8qS!2$%%uS
zh9x~(7NbQ~GDA?Zg&=HEVmqGbe>pXDp)TWW1A=5R9kqOd60&qOMrssVb1_mL@rLzC
zW>k;ZqMF#Sj1|zK5=F(D=`eZ*O+j<s^`QWFq~O>=q>B#iCY6a&u`Z2lF+UC`0lHQ=
z@N?y{03CP*xSeUGVk~<VH-LuG@4@4>+lIqF91|iVJMo{rO}fMO-xsf(7c*DRaofsS
z5t8U>yY}qd8!1R_swY&Co`;T4ji1z)rPtO_qoEu0(BI>Dyqg)1w{7tlLIG4-g%q&X
zpnzmC7G+?95~OrAM(Vx`PXS+KM)fmWR1+z{7_JPJxGhsajcx=NiQh9<&abwW6H<V9
z6HkPV+@^Ab)*qe?0-!=nP@R<C<cD_fYy`0ScsP)=9a*o!6ILVZAq4R8WqoYc7zFSR
zuInKsZ^4jq^?c)?ldRicmKn=Uwpb>1`?dXn6%k9ra<PV#H)V$423rU$n$vm%0`qLr
z`@dV2%k84?B8Dam!ZpT`44t&E;o%wA^nyu@b#VTGbYax@bTPg`kdH%tr`vNdAd+Jq
zxW1I+O*ohU9#a9mG94e|8#GlcCora87wZZ>?&}2b%G#E{y8l2kKu%@P!O}y+$BGI<
z{!P+xvs!czRi5W5ITg31LdGGs*h5~Yop++wbjMUAvGDc!R^*4cV^cn3h)wyfj3Wl0
zEjMWNoGG^vc*p`@<~nt6`Y=XlQGP`fZBNkLH;pSDcbbUoli@oNanNnJ9rZLLl=Z&=
zE@CJmzQXMyTZJWXx>_H`&~&?X219WfhJmoOTlhx3-h=YN>$VwX#>eF0O^A@z@tktt
zqr`<0|F0J0M;?@sq_&iFe3dPDWgz3P$?GWCp>{k=`99{W>IhzZUZsThHzzSnE&Fg@
zn(mjX=2hw_lRM$U@39vv)^7hn`~sJp3S2C)nxvWqKU@xW^>-oIOT))~sB`tcZmEbO
z?jqQ#HWB$xgA}2z@Z5^FgBAqHOIx?r;dG0?<atwm2RVc<Dtk3|%EwKpg62SxFq#gq
zJcHU-9=27d>9zufk>vNY;ojp;dDY!;Y;EZB%Z7Ofu_omT8EQv+IpY%)tl?Ln2&_0}
zv<qu?6UsYZuB4$+bo_SEb>JkcyvNXlD|L8};V2Hj?m6Q-ckdk^!+&?fQ)~=5jqfZ9
zG+nP(iJ;fV`r^ItZ;Y^$t(%RX7j@G@$&rQ8`4~%Yupx)1e~5Q3htd3v$;QpOT--n3
z^qQYJQ%+*wTS_li<uWKw6qcT5LR%k3M|&BW!9&mRKub5uCz(MiXJ+GrwrreekTwi8
zNaF(~Nr!QP#x@TRyfhwJ#cUC<8`7`mA=}TlFh-k)8KZkv=5n`HtD!xa+nk-<pkw%(
z_rOeHPXPHh=w&%k%lB&NyZFbxLT7ab3jq6%sg8r5k6C#ai|Z;xrM6;Nb8jCed$lLo
z{b8TxyjRjN{Dr*^h(j7KbQ3J7w<b#4obB+Y_S{xz8&v<KVbM0DtbeCNF&U;cfsT8)
zh5&0iq-}{|QcEm%6Zz;~uJb1mg3Xodxa4nI6639kfO)Y<enqB=VX?9x^DRV1!s)qn
zaFL6*mt-ap^NwL9qU*#=BPgxWAcw+JpES;V`4ArNb7PF7%2?dMO)w20X3(JG`2r%n
zD)KC0R8ghHq1lz@F0=(Q9#}tD7dLeP_GBA?p<4J_l(6U(88#N{DHS+M_wz6gJ5oH%
z`}v&a(k;cjib5oQz5@KW=1L^jAsLkfF9ivHjvSXT3BHz@1zxdbfkYC#Vkik78z@OS
z37!(`aUTvqGCxJXZ(BL@O~&uLDK=%g9)IfTCx5~8laq0}9SBO^)9Y%14A!@q(fG<1
zjUfi>=>Gm>{9?mk-GS>G4c-DYE?Q!f@xL--`G+l*iQRrvzuObBG%OcuGQQ#Yuo7+8
zcFx2Tqpa;vf*q}U84x7<7|^>xP+6bexlXb{_14U&US*4FV#6{v5QZw;mlt>S;_i;j
zm9yQpauV%{P2~vfR>R#LIz9-B?$ew60@;&NW;7nKMPrCPp^`Tw0CRUIS*lKvyr4ik
z9gUNW0FGov^+8)y6A8fBKo}~NUM2ud0LL>|&U3bvlSlwIl_Ruw1_zYX&kJg|)0_MP
z5x`rS(RjlajUfauRq7Lfxx3@xx*kySmL<5m^J!)*Ke5F!vD+KFJ4DPFP0hh_u?CdC
zWQO1;TL>(g)AH`l^6rk@lu%1;%ey<L*6xny!f3w4<YOc!ys)XQ4|jL=BA+F^u(|$)
z(4^W<@AG)VYI>h&kc{1(0fY3<fL&OWu}vZK=U-|2`4+}#d3R@dcL!pI#opbSt$_dD
zWAY=CQAv=yJC7irB}{^QGPA&4wk(iHg2wL7014hYP?B^KJSBE_`~gVj-`zQ6TRHPh
z##bDPO__d#Gp?R~@)y0kL$^yomp^aj+$a*e>2Wr*F1jq^Wv|o6H6p<G1mmXXtLijY
N?5NM~Vg5n6_%EJw3+ey>

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.regex_model.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.regex_model.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..04c246362a71d9c50540cc14f60c8f80c315062f
GIT binary patch
literal 73328
zcmeHw3zQsJd8S6vj5MRCU-Dx-cG(!*a-<QqiSZ8DMv`R%HnNdzY>-7$(_J&wrJn9~
zSGA<EB`_=yU~7ZHjll$m*J2a%$ioQ>Swg~wB_w2l#q0sXhQ&V1$#FJ3vb!w1StsoO
z|MyY%R@J>-)idH~&WX?QsJrSuzyH7g>;Cul{iE-B$EuN4_+Pvw?D&n=v1zwnZ?)@Q
z*pJuO+qK?;*NXZN_P4*Wf1+QB$Gh&)u-)s{yneh2O4R&Dv)=Vu{X_kDGZv2;&2XC6
zUl)3{sL^i8>i(!d=C3={ulVEfXw-<Bp7JW*aKM}QjybP@&YOKK2Bp^C?j6JK^_Oqy
z(`cZ%Gvcw13;joZ|Fn3#DhKSZiO2Xj_s46Sjh5Hn-<x&g2{($mjoDrV^TYY9Y1Bg;
z`?^}w4MTVcpGRBn0{gVS-s>b^X5HH1t~ZBedhxo*oyS*we~UlqZ}iXi*Z5PhyX%h7
z>xR1yhb_;Y-Br81+Ud3fKq1_9%Wc)J*J+2lu6HB%)^2;Q(e%2zV8G!nHqc#lcmc)f
z#dOo1^`JmF-9=EU3kb?|H-vd!aMSAEtiLKAZM5p%F$F+|t$!iR%fATFdk*~nT=@S|
z_<uXj5n$>zXl9joZO3hN`|);YxYzVv<P7Y*A6Hn}or8<|WBa4N+w*_L->HD}?y}&_
zd2ZC}dezyk+p75*KDz`yyHtESi!%r)%(6A_wC4&;3eX$@G{@s{U?X?F>vntv(Rk<H
zb}Molt<WL<aOT=whdQLD9U27o#mK{$c3at62{-Qrw01LA+V5Y03~Qt&f_ois+^Gtx
zpgVv&&18pI{KhHi3_2D9upl7f7m`?b1ug)m!pP8Q4JPgOe!OEKr%oqr_j8$+kpWiQ
zT9Ak}g*AjATLoed-c-W|hy&zSrA)jhX}&_dQeAL69hldQQ*YFwgTSdfoJK1;w8KI6
zTks-S@$8**jkCYq^0pICRbT*Hs2jJ{YDaELsK#Rq7QuhwYr<G#K#pcH#)`*}Ei`As
zj*B9GeW&YzKs(~~k>3JnWsXa_M^3%PtPvAe51_V@p#~}qWwlUa{%CyhVBQdL7AdMj
z{RT7Cm3RZN%1*$QMig(t0TTJ>yQfNQ|6cz-#Qj8qyMLVI0?cfjW|p4TM8a`m`068l
znD4R;b3G1|jd4A8Wggx;^M-di4Nr1)vjM70f&Z%EmV;akY|+W))uyMcP0JPtcwDyC
zG=`hB1_X?$r#h0qZALO4Y4u%|sz}jK0c5{L40<Nvgv03cTD7Q`S=%EsVg&F>@AXe?
zy>_y_eu4M8Ego@FP5qYIl>ccVu|c?La!R7NvE#MsAjqo6z#>x6=QhYTke5&~)ya3&
zPRyzej7)E?-d+H`+mBaw7Qu3X2hm~&1kxxil|B`T-0r*=^?6sI!53$kh0>2N8o0Vq
zwk^)E*7hSwz760!2_*SrIrou+68VFvnf$~uldoo|jksge-w{nql-7U-NHzVBmZnu}
zP65gPn*<^M84VliK!wKt(cp=%-r<Ou<429@g00{#ScX_?_MrMwtzTeoeFy-skFo%a
zfW?gd2P~9BsR3SYAE0sio^JO1VTMV#NJy1aCM>kUW57)x1#bGd;HLO&DF=1qfv?tN
zHBTf3#RSzyI-zf|&op-i!A(#}UqnXn6&$j6kPD^gAS=S?jmnsc6l21ONSa-PIg%;}
z?L$+jq6#a^I%J&;<ins%_@!i{6>0+#K!jECX;QhgJ6_j~+FeCd$0OGWCV)>m?cZ&k
ze>~F8D3{;?tTH)(J}|2Bc&yPPhg>lS)}pN|M#H}71A5FpAW-IWZm$_tkGRdArw=YZ
zBkXlL?QT>J7u;@iPp^&6|Jy<42Om?%TzKUTF8E<sqTEpC2Afjnkc*x<gdRZY_u~mP
zv)Z#5Bj{_!Up!VqnfcH7WAXaAUb9KYjQ=2Nw7Nfqz27tfqj7O%5Kl0RxCVZ$8rTue
zS;c>e6e}}(T!@IwI7~~<ye?m-&O#v`p1|_tr@f9#o^A0u-bTV-$s^#FCsSliRAhYR
zu-yWOt!p;GlX9C1w+G+Hu9#52toTflaf8mD44zJnS6`?QRUvbT87*L6>}2+ZMpxv!
zA27cAFYu4e$B)Oz5ULfkXB2}V_z|?6*aXsQ+5qi&$2!eMtr7L#P6dv--4=XQjHlo)
zv2tP^`44IqMH%pzT{RV-^3Ecz5n{&Ptg=#50W_Qqgj|9(tAUefSq0xfLb8>WteZ>r
zVl1&>tf*LFDGY;+*!g5If&Wm<v1p)ZWzZlO(6e9GYD5jU*|^tp$iHPV;%T8UjPDcJ
zCK+t!mW3@i2Wwn#(;C2B8QVC9W9Aw-tahuKa&ARvXgmhzPAgOev9zEFrTFjn9dj2t
zO^*c?s~w0=d)-zzGts4}ulNqZp!+5q`0wJIckkJEbM^9zXPkrdKz%5x!|NU9mscn+
zr>Cc>;2~C?w|+%l>sQ!XPhMJD$IebnaLoXbeVD0+#n}cdB$Z9?6DnWDsQiL5R1U7d
z(o=%arvss<;R#tP6AAqks&V=T6(}Z@C3_a^R362T=MXVNK=B|0Z{~%77I6fEWr!sn
zm|DsbiMIs*FscMss>44$JA6TkyjKYoZiQ9=#r^nCQ4y7*!d9sNa;V>%4fZNyDvJD!
z0FO9Xe9?f(JVba6NNf~^u{nXk)~E0P0AGzy-~R}{ND%ND0&`11U>p#bH6frFX*<Q(
ziq8(*+FwlupVWhC?3l=TaRq<zs4~MvHp8Q3W=P7D%hUBRy@;l#n^37hS+Ixo!;rA5
z=3oaFmFpPss}|_sQr5xUR8+xrOKOP;vY!FZB}RyhPWgvfbMM7}it@gS%LW)WAIo^W
zVYb<>9j=ncl94~kSOpIxD;zZdXN=^b%HbLhBt<UQc_4X_#{-{abA5c+xo(2FJ_eO-
zCNNsdA7lM6SnNE&*@cM?dr_TTP~hBHU@V+nuBW032}Vu`27ynBAowO5`Zw^OVb}q+
z5$nr789r~Oxa>vsd1D9LX)?O*daF>jUaRJI!d?@D2Vj?IU!_@cX$Y~{=+YUdduipm
z7hiPn?xWLpUvl?z@7{T6`=!jZxD>+0{QXSjx@#(T&mKSM9NND9ID9$y+PjZJ;Y$ux
z@YA8=m%!sou%fUQbiK4Ke`o@K)9ZvNKV?MuaT%hd^wT*2+ut(ShS5*;ER1#thk=g(
zsp#09mg!i)mh&b-Z2cPG-^pMM|0&AGDa5ux{nb!ESEDNn>A*<>0tDXd)AzrR81?D<
z9|l&1zr?Joj!v(-WYu$50kgs*l<w~XW>v}%!>-a8cGXd+Kn%M|GAve3mVSIvCNdeE
zU4{m#W<dg+NdzdQaT%@3h!X7J7qlkq9dHr)EEP>CACRo%QTH4fdiAgq$F<5jv(JXh
zP`0e?MRgg99iR-wr7<9W5b((hS5n$5xLZ9QPs}yEX5H*hj?(*#DS+uzylQ$cbK+K+
zS0Glp`baKuu&gJ8S{aA~7fVkDuf=~@ppiRGY!b8W`eJ6JFwhON5T*1Y^CZX7olbko
z%<@mTCB8=6q;)E|-MHP^xzm9Ri;yMegih3UBHwFt9T0nvKT^kB3vjHvA(M>|A>Yg+
zg;m&yYq#c=0mrEgUmiP5J=FnxYheIm48?^Vuhy7r)cS7=egT0b3cLlYkdrWe8@!nT
zd_VjH+_5cQ?Nk!^LIlHCsz6S{ryQ?U@m4WGZ=vJ6VIx$hsO*d6?$`#und-p4vOmBE
z{4fpJTvXjMVWHBTxFl`&>YJIthoIr04}Ws;!X4Z|f;F;z5LVmbQRnIVA58CWW-#3r
zKerf9NnR*gfsa?EpjGaGIG+qo3_uq-=RPO{MUPR@;5huF$0?F^bk|M5c*(AyvW{ft
zo7-&SDsmumsoU;!8*bz&*-8}V#MiJ}0U3%Dx3<HuF$)nbrBO)GoH?b_g=VgN{)|)E
zci_M+2X<Y#-MOO$L2}rTA%Ow58cVpEUT}|9n_g=^@^^rgIaY1;7OFMh?S?xbn`@!!
zEzEj#Zgjmxfjm~XSh*BYA4#^MCH-wAT_GFGyb^@uc#`O!D>?9$+D%$=1dpgQ7$_(H
zF4dfQ@gsY3Iq?h)&s<cM6TuTun1p6({~}LL{20ob(IGh@p~=XJ3^E2ektvsK0Nk?7
zYe#7AWp7uqUa)yBNsNv7Pa*CDI;z&?`5<ltB4FY_3QEi*a^g!0FC<{yVuh25T*xLe
zHS9z#fQg(3l?w(X#GL&pwhuE{et%;C*JtFnwaMTJGzUWt3$%I<D~bl&AT#xDR`k_W
zG&ltR=+vwPv&yr0-2o3$Ut7$q0;0+9k}f3M4wNB^urF`HO47azx=O#?$VnESEsY@N
zFTu<$GYrzXuPeY199<l4DRk}Ry%VMj<W2kqo{&6LPPKn9-iP_TQT3?TnD?WwvK<uu
zz*7gb<wpDZ4rD0%?K-4Z&y=YKXBd=D^+aoBYVjvdX(J&$3(7ElU20wUo_G*noZzNc
z1=M$5OWEDr4S7J;*_1+xxx=Za`l5Qjm76R62mD90`~#6j23fnoL$dBl#Qq}^w$&Au
zC$Hz&DOp-#(vX;=Ogi{D&Y$QgGR3=Gkmctl<s^?$;*w60&q-7V?aiwej+#6cuYru9
zRFW%oWY5z;os3S<AHV=?`ir9xJb?qv2PBb7!2?i=r7Q(sMlbcx;E%>p!B^o)k(67=
zQhG4>k68E|)7qeO29UVKNke%V4{|)guJ}4s7F5qj|IG(b%s5=O$?SmiV@a&w2W<Y|
z=j{s}Znj8;(erMs!7@O;CkJP(7JLmx4p@u1$QeT5C&8K}hEdA%7!$SWoG_ji9sCTs
zjn@H}ko_C{Z~RJW`pWlptu{L%hPiHjmFzmMN~Quf1q?e4t4gkeGYlAY8D5FJpp+8f
z-5J#f*Nhg4{AGpf#NcrVGvM(-9>>9s+p4?abgkX>rswcD&h+*0_6Gcf2XvB`a3luK
z(M{h*|LkzU5$r5Z!|QI>U4*kdvu;%L;b_6V-i&ig2UA4c=0QB>!w>cBa6-R*v<f+R
za}C@Iz$ClbcDo6$Z*ZF-bauq+&bC9S&L7|2?Rlg%D61Zw$cmq6jdc<lrZ41o$?9Z&
zoiPe5Xf*EanqrHr8-MK7*3uFSlIw|%czoqhnwtelg7<;tA3N_O$qiqNeF#sJebL$H
zGRXqDYAruW`FT(YWQ=mC!kiC&wY`J<d~n`DP8Kx2QQ2L|2fuka*E>ftYa5JGFR3u(
z{?w?<TEk=<=t0q#_fpI<czK2#GM@!byXf?G?IX=62k#&Y#-u7gQ^GaXaogUpV%8Oe
z$lCXiz**18yvaU;lF*&2LZ_*o6mSpNyDbl#rRS3Y+ehu=FA3WwO)aOO`dxch<)KRT
zHY7ZjgGXPokJtu|ZeaR0Nu4UH;2>NmIDQmd3}XSQo+zk+CQnA)Oe98<P&(=(T@*cS
zpL_m<zRw0(NcH^G-a$UNyn`IogKrF~XOm_S8g<8dQ7px`V`F;DOI9CAN5xonH4H#k
z=w=Oau6?lisPYc78e~oOwBV)o4ixS!s41wAVSz9o8l16@(*{IpL0Vbez=_~Dzf19(
zZRfrYSO*$B0?nikE{cO+_SJxU0_qrSky>(A>h_WRUV0>hPkFHcrtnl)#46w}uzPG7
z@wPQxUI@AD3tiNmu+G~cyBDF7z9`LB_P?@skk5;}gB%9KHwIC+7M)i%@9b)3FZH>9
zIMvpYg&XUn*m{11FidrszufF-lvr+Guuj;z+y;(8TW+HiR}ehNzv<wA!#<WF791Pm
zkPGh2ybwrcnXTic#LVP(eQwWK=Vn+`KO}}I=DPme-a-DN;vM8HDtxnCi)zz4y{#07
zD*~{fjx4jN#-Z~}Bszal+0iJms4lZk*t)0&jzL>gYcVP(IFEhN+3v;mkqoh<*Z|8c
zsljD&Pb3NN1s9?1im|ic_aUe(g6;g04N70h5$4&;K7xbR$*bo)it-(GQcRfNna6hu
ztEYBA@}{2v7fb*o%e@0~dNvj<_dXa2Xzybq_auNE*}V_-u=bwaolbL+61BQ?jh;L^
zSUK8=;9@_1#E{aow)4zL$cOCo;9NXim?k$&mZK@T5P~-%A4~>sD9jFglV#<^nTb%x
z`TW2Pdx=;ycQwFD-P?s*>>wSEZI-}Z06Q6sS#=AzPk`6Q30h4%``nr@zB-Vv>A0;4
zI85BGVcK0C@>t>4#6@^mCrYc0!gY5ZR>q7p7joCS4yQXL=S?sQJCKOy%r}mBEys0G
zcsX#L9a#nr?n6YFi%RzoQBohZ#yXsKb~l?7vgOc$OUPsu7}o5fvwQ!m@y0#O1WfTC
zupSP9&#{WDm<9sdA0c!LxIpxvc6h$q?!mN@PIk~Vama9QViT?-tJ91ounTeB10?}F
zbm@a&-+u-j5^-Q*|B^sY7WxBhq5pc>g&zECtig_0C#xv9E0gF`8Jviu=C+GeOC<wd
z4whWZkCYjyNJsi0R+{2k@+L5Dax#*Fqd8-@W#PtG;O2`{p<659pcN&uV;VdzDYkYg
znVqk9r`Lf?RcRM6&@xR2?&17V;VG;6llMZcY+m~3;3-JEyu5ULrP;43lR?ieT`#6B
zY^mgdPOxvLnl+oUphHBK>DOtP=Ax?gQ7Rk#ThOo>B}&AQ5M{DVGYA>7OmoUzIEXPM
zXz{?JpqSG=Bz8~w0$HY*Cxg!nKor5}8R$<?QELWz{Hi1p>{Rye+D*(~Z+l$JEWk~a
z5eTzJ$WqKnD?oIm*95)cIdhF;pcvqw2dJb8_}=yI=`}#7Fm+JT*M}Nm7UCi4Jr!!*
zuwG|kGYgryKxAUCgSHH71z#0kD{BBCu}tW*BsPgOC)JpF%*qOxqQRMqsw*V;8=z>>
zJnW01VKX+gLL@Mm6_UZlutIXm?O6uyk+{ao(Hg9?^f(8vv$X^0QgWSLlMYGZX{n<=
zWORb9*n@pV=cwC?Ld8;blnj+Tb(4){@<o+>A>kx8y{j;rn%PGzt=kDDP(!(=dGM{a
zy0*pJi_ck(x=baYb-LHVw0`CC(s~b%i#ZjH!IDJ1q3O<}oUG#|!wYaBx}-fkgkwFe
z2rLb_!8k;x0EB5C!DV=j(^-C(KoNQ0lmgu>S_YH%^@6<F({K1nqpj7-P@>Ur){R2b
z`l#QVYR)`rMRxXSc;=!*%g%?PVKX`;J0&z3*_lDcusU+eJ-;-cNEGApbz!Zf$1r%U
z+&2L8j9j!fDNa!QP64Zi=lG)!kWSlF16nu$euCly%m7-h6BK`4ibweg-M_+016-CQ
zXc0dTU2v!A9fAAS)c^wq9nuN`#BR~z37ZtH0nG8^GV`UQ8vnfjb8s>uF3U_t_z4R<
z2;;C*X)GI4dnQpJLAh~UmtbZ&f-J?!IgXWzlT$gnmy(Y_JoZu_)J25{HLP&s-3}0M
zQ!tLq-hmRs1xSeE=M63waEc>zr6_Kf9Q<&O2wI5zaeF162rdG<l9Jg(aAs@gCV~h5
z0I_*`AN)W3bUREecvgP;NBESJ^u5HhLpL|uZoN9!Z7)C&FFag2@0%{eOpXw}2xA`h
z-#bxa<a*yrNCLmp*eKi~(1j?aKZ79`mTg^Pgv?&@4~yV$ypiV1()i_l+WJF%;Vl3W
zReQ!P4MeH}{2)WnkhS7Zp4yq&X%bR`c9O-uIsKlA&-7y*v*U91c}dCkoc08{;67|7
zl`y_hWe4VSCkb!amlY+ycpb0GYQcF(@m(MMyRCyaY)k(-R4SV5@gaK$`P<UGgPd(?
ze4{d`GGn@Dp1gvrlF43jAABa&l9|<29itwRN@YQ3?zzw2VvG6$Pe=V80hsDBe@~i0
zVV37&9b!)8JMx-U)RicU+pT$=r*F5G{OKB8Dp}ymHKOz8e_d`0l^aa4ZQkz{!(1G6
z%Y!{3ZcvBTmV2A`T%)!TyS*z;YSVV-9A}S#`_h%0!DxU`LmRFHp}l7Z4G6d}BRovo
zd70yS#VbgL4aO!wFii$)@gL&>r<8|=w->BT>__-C0sE7`Np@}-OofZG4J%D?t!mgL
zQ#{UnTs=A!W_axc_UOX>EA8$g?uGjpse*0b#deQElo-WATY)y46Q0TqSP8`|0#@R?
z<Q?+ErVCF}^;!N2)<AY!>@sM}5bDQQDu1R$w!STvsMKxnTLJ0ci3#?m8cQiOMf0HV
z$gf;^2@TF%RMobnHpBKo!)9zq?@C}Y;i?QShHzC*xfcw@DU$l}aP>jfq{ouz5!1HW
zr30`>GI2i@*H1w|^$aRHcxPN*$styPxUxfHK`Y_)(45MmW>&%B@`%KJSgH7Ox8;5(
zw{*O-%t$B@5EB&k5p#fX#H9eXk~iRi03n!51p<U7l>p`h0`7w0!ta65<s15ma25!_
z_bd?bIs8O{0Qz)t0s+^D?h&sVwTBA>$U8*-MX3OQ+UFA7|DB3KrZ$;%{^d{7s7I|g
zs&#~Wr$5ve)Hi`3<^^SUP`@VY#*d%cuDy=RFWr%TMgo-=1u!_$KZHs}9qFIjJIHsW
zc?UU;G`>-pVt7Y-(+0gIv-DF{`|>!_<Ir~|K%4JKGbqeLR5-`zNIyk%F;7I4MMpYW
zA;Aw2)116zxs21+7KXobZg072$%qDDf$%HAEq|e~#N{nl<e{oqbA0;3r_Dnk!8!PI
zKxMgo+OrKJRCu(U6yzs<m2>()Kk<3Dflkr<MBJ-3dWl7gOJN+`jdYz1UQ?L77%xH}
zab<~KLj6uY$zO_x*e-*pFd3UzX-aSkh>@H$O2tFm%l)<z9wMqF#Y2qROYjfhTzHDA
z4|E6A%KC@*!&8HQh_5uYkP7LQ@(&+QHD(s5ihuYJ4bEItRU)PQ!{300&DfBCD1piN
zhZ$T9{$WnJD+c<9Sw4|61JZH_#UZk_LB^!Vk;r3{Z+Kz=?uu`SE2p6A(x9Tt<{N$s
znp4@+%qEI&_@A&+@r7Q@H~e9lk&tirG(lk>G4~B|#H9eXl2`bKLL`^+4TbiU0Ot6H
zpN8Sud_#QCe8Vjpg>OioPL6N5+pWU|_U^3LEWJN09mA_iIfk;sC3uC`D<+L>uR_zH
z-C($}3oZexx^Ph!MB<#|bbBMe&5L%5rIo2Vi{r8>;VCLlq?Dn!O9g0SUR!oI@e*10
zlsPk%_oJZG3K}U7@p;9NW*S_%c4Q){$KNIQS&h;=0X+YvgMOU^u7un8BB)f<ZG45j
zgM7D<caY;Y;v1DohIbolsg}%wQPud%<2F_az*LX<ZX<)jEMJ8yh;HKxsab_N&NDCB
z4704`Wd*y)?>fW0)ec+!B;LdZR_Gp@zP*EdhT$FLFbuviFbp0E<Z_Iokuo;HJ<i#6
zcs$i&ij0b%y8MjuC<8KQp7=(arvmnILDP}rsRJHgOw~%wB_C}2AV4r=Va$s%JZbN{
z0FFzGGO%f+R+g22b6{tTSNL+7pIYZ^J(zE2aqu4XgZWY$8)7`GH|hMMQ$85tU_KjQ
z3QvWKSxGgxEC#p|-5y+p@GV1t>muvq)m?Ja5?&hXO+o*euwfP|5#Y*0Ai*xU5Kvj}
z0N0s$)}V}TF*;D3<s#0}1EX8c?s^^0T$4#6&fe3JPkQ2Y#o^_6a6ze&f*X;Llfk~i
z^b`@TQ{@KNfmR}cyob;4mlDi+O&KsnFzZgNG{qOFA>E<;nc%A#x5%7`mUomh(5#1-
z27o!uPCn9scsxJMnThFh{p4c-Yq(c<>S`e8B~U9H<hlo*8iHK-O4HRTg;^@d^^R0y
zx*%6&nG)psH5#0`s4DhK1-W8q*o+MYxg;=|AXf$#Ly#+{-1g$EA*DxLq7n$1bgzj7
zHifiW15ieS@KeHvsi^&waE)8&Nd#C5Q(r`Su?YLAH(Vcd_qhXCXw1QZwuN3ZYV4#c
z6R@!mLIFrfqo0M7Wpj@VOHV-LO$bjxB1!)HpTZPWt~PU*nL)&f#y=)Fz;wwTdBay~
zH)(6L)Z+P0sxkAJmBsU)X>jJE>f#AL2!)Ft7XB+JYsQ8aj|3*Ocrv&c7EeyO11Eux
zByYqgqjgx0>3IxZj-MYux6E?1HYpCx`2||#VO3O;1;eVhQ_*FMTVJqQUo>XsMG$yS
z(<D|JpwpENs$y~LU1df>aqAsW!)7ewh&jMG;!*(HDa>=4g!NS_ZY}I$31Cj#`h!4Z
zTihDov$*xEVPY(&i9Vg2xb=<m@UuvCVyAT6I(4q8T=ZIYYm8o>+Cg1q{1nu+{QSms
zid!YCRS3N*{%&n@?h21j9^B)G9{uXnAw5pDgcDX_;q@o{bv$9!mbF$EDUzdA;}UKW
z3{##+WkrU}o8)BkV&e9Vhy<wMjo3^o%D*K=YBrYSOjYiC^;p$J(twzU`beM1`>Yc&
z<b?I1Qqkc4qxKH+!-u?soM0Nh(M-E!D<jDSPx(suG1||kS~BZ9)mU4e;QnU`z*LX<
zaYY7&SqX_Hh{62_@|w-YjC>54<#C~YxN4hKzGN|8OUJo&_WI#+gUmW9cJApZf<wKU
z)_e*3|FI7=pG|oOSt!P(R89rc$F}I~n_>ZlRt1?(>1kL{%onnsYagu@l$^DTaA|9|
z(Eh`(EdL-1?>}5)@4EoGmKFqN3^s7_iy&~`nocSQ4Z#0o27wdx3HG)RKTo%E3;_zE
zHaUOh#;FxAX3LH6`*~q+mh>$Az?smpnded#26bel$zZlHKOusURv8?|F|ps!tMbZ&
z936gjf|w07@<wVT>s_$0o#n*DB6P{Ti+k}CotU6c2JeCo7kV1{_wsH)E=qnCy|kMl
z(__kAoS^q=^fH*W=UdG88&c-GG8Ot*#d`^79Q=C_HkXCfu4c*P{(9Z!^a%O6|I}m2
za%84HXyrG%nfgvy_ms))&D{w}0gyJQpHl$!w257~j%Icz9SMQJe!re5p0WcTm*D34
z4+gXQQK(eZ?Eb91gM8J^JIGPp_(oIRiP^n1&B`?UN;>9>d(2oe1;p1<4KLXsVx1JT
zh5jM~sM$b#%0AG1KzRpQ12HFO<R|tH3fLOMU-pm%!fX_--m0@giegqEaySdS);Oz>
zQF!L^52CP9_&j^x1qih?qmU6RvFm7SDc^atFKDoHivHr!UhAB#Nht%zP%bIu4*N)k
zNJ?P?OyQ|eQT4DtLJ}jz@;PPE!%h@v@L^=~oTL<~>GPx|z0~!2WSzXakz3GxWH*}?
zla?Lm+-7@noP;xyH~j?U;2i+TayujHH6kgqfO{mI5@hbjT=L|a`|6KIT+OembK#^F
zT(S(8jVDGOyQc$l3)mG4;&%g3)k()-_y#2TgZCrpCxiDD<^b+NtT5w^DDxgZ$zMt?
z%csg9D)zk|$4XOzn_yYk4`#hIu??Nd&BFAj3ulp0QY-~K?_CdmYy|F>OtDw)-n(jL
z^6hu^kz^tA2>yNH*{ZwD4??YM`pOsJDQL~S9e8}DY4wx|r0>A5MM#9v%)aQO{&uQ4
zvj7IJ7q@tPi-u<|s*1=`2`t}*hRx{E9z26apC$ZsFegvuM}&Vm%=|d~R%DZycy6BZ
z$Z0y6%wQ?F{!<BDgTI5qMROb0z-WfS)oiPtJIwqzu3)QfPdO|2M&oKj{zOi>>5}VQ
z@_$^mCMbz?|B2c)r6K*h0W?MO^9^(qeFZnrAETnnmZ9*nQq<%b3O8V-;*$FGtcn+_
zHt$tJro6X6ir17GGvzYe2{mkHmO=`gTPadl89|)E6WX^_E`u<pB-GhxBa;P|Xd}uB
z7HxbpOpHYv>60Pa$b)gy;x188a2OQ3@I=4jUj!eX1OF?wdAtsOrU|ra*gpgX4#s<Y
zuh}UbU!<UKay{$ir4Hd?k4uOxs`f1({LX9XkR6Y?EMe3Ck;05B{2|=*e^}OvKXi)R
zy^<RwWWdu-d$QlZmOW*GRQ5%#XEK&PDQA}#rL%`m6J&x<U^A&*{?(Q3Os<%?RiKQX
zWL{hPUagW?m9hsg?v`_Z$5*UV)0WM6*PE-i7u-gxukL;?Er{_Y=-(#gQqE)^0*NpS
z`q0{PJCj?KKt3@F2wvLMS_zC!Zq!4Z#seMP=e!i;68z*vSnD?6$AR1?{Pu-A3z@%(
zpDTUYLS^ML3VwoPm<)czhaz-})zHL^uN5Iq2<5*`P|n^nxoo!2>eF@8(+Z&QQh$L%
zo8t1vaN<JQ*HnZ^Mrb5A&Ye+aBxKQSg&MZCu2?iU;(`{<vsBcM1JBMBBof@0NRG6P
zfJ5Q?r(*R;0J9d&!2Q!}VCKxCxfVas{waMrITp=6O46<_xSbBB>sQLyCh#K`?T*)t
z7Pt4~nKBipwN8!JP5g;d#6IZa@4i+kS~snT_|z;&U0b$!&oNg8d!nLTa6c}9mABg~
zPo$tEd*iOcOG{V>XoKA@Ypq0#6LV}+iUiCqOFh*Ao0n5BZ=fZx1#{R8Q9LoAH=`qn
zJM=r?h)g6y3|nU?2&}x&N7S>9NVTi-Ntlc!5mLc^Xmq*F8#4n7J7<M0SW?EX<nZU3
zJc_EjoQL#<sDzk4aUcDDC`9ucU3TgTjt<h#<|au#L)4TU61)qC2RlQBnFMKpX+XDP
z4VDHJ%PHD*A6H`n5okoRdBR$#|0+z4trv1C@9NY?p;M;F9>Y(h$mo+nk?{d9B@yUa
zPLQFs*p=nASZGvVJl0^*2&bhr0yH+fD)<vlWnr?IX|2kU&&yizzgYq577$9g<YSEJ
zBIG8%$`wRv^6PSz<)watQ1CTuCMEU9F-%K&Sz-tqlw7S;IQXxv<1oqkyb&Y|GWfU9
z=yJ>Y9M%*<ex<MpN%zljz;mU$x?_6=h<CPshC8#wQ__LWeJ2?#_`lf4WbpICwB;gt
z#Vj~N@_!{ro<yg0;~9Wu(O;SnPU|>Un&PW-u+zF(Y^>;#BmGzsI8MI-Vo#MBC%Lre
zL5+egEzYN)OFLGeRqoOX0t)?*NDzxlE7p&M*W}V#ZGjtMl*|@*DSjebfIb;)0j@fS
z4%4@K3+$@AaCndQg{5qPq(`GY5P$sC*01Um2KlmQDVB>`Z+Pov78s-0!dI=A*UDNe
z4&B6yok$@F@ptu+ltX06+#_dP-jYes3Od+K%92?FUaPQSMrY86O<6B*u=Z`TUh;ZP
zWKVDxG`if@i-A3b1+$VCBI(|P9Qa%-M)6T$w~u}$b-_KxZ?xgwsx)ORB_y8(zk%Js
z9#Ua)3!n2fScCbT56K~${Sc@oLZ@Pepl2j&CQMS)=lmV$l<Aq@#ZRPX=#xRu1Z==d
z@j3T*y?c6anQ>UX*Xy>245Ydd*q*b!$b(4go>F=zw|Aoo8tjrfieNXiO)@@_UT2w$
zfgm%ymApnW?Jqd52+Kt082hH_mu21fiBns@8gNPp;pErUE0`uX<D_KpcjbIJF>^L=
zbAE&UsZ=!`VpVjjId1CaZR)518)vaJU>vi}o>et^LeJnkIOY^Qqc^zC&=Xo}J)D7J
z4|In5hr+WR)O8|*f-gd&%dMyeFE^pHRw#3m`ubB&j(qiHN@q~CgJ=M>gJg<?GKzK>
zmy$FuBsq1aP!AX2CsGge$)FyV=!U$a3+cGs&||L1kg7q1SclLIIh`9d!>KPkb7wQi
zPtn&`ZWF`1ELQ^)m3LWQAZx8;%r*UQ!j<X&ytlfzzEMI_-ls|63~s<?Qu>1J$$={a
z7tO=bS)n+@o?P-mAJHAw5vl4@RUmm|NyJnz4UL{$1(FB#icuhWgXhk~<(wS33Pg?K
zR=5MiC2!qnck5mk4@=Z~-7X|^@;y804;8N<86>y|M+4WP6y^~m0dC1XA8Ro8s3~Wp
zxNpCDN9fJ<nsl!s{4#6HX?Y&Miqtz6bzL|~bTj?{MCcr8xOfd?qo&*?Fl6myUT<LY
zIx+0L)&MBUyb{K@gck*20UWt{^@>Hd8v8I}=Jve@KapOiPX@it39%Hn?`0v}IY9Aa
zq1Q{N1<Pv(t}W&9WjZ$M^ugZVEsD37X_x&<hnSwSrv<l$>6s4ZAL=+Q)2fibId3E<
zl2iC;D;wIK!pCLZ_*18dQ<$4$oP!SOuaAiQ^mx0*V>Ti%V3SL~O4d~GB}gUE@FPg6
zr#iL%gG4+}g&S@s_##v)dON|B_73vTkn;|5&XD69)pqlf+X>E-8@d@rCya~UQ}9fx
zi>15VIIw;(m-~kqXw65-p0y7&A6ni)Hu{irPr<}lI@n7_g8CR12x$b497@GjrtIUi
z0+GXG2$9BPh3+ZXwfuv~zo!6YcnW~s_P*7VF@_ZXbd-oX8J1FJmc89RP%EVhvFxn9
zgYrl$g=JUokcpu9QJ1_u`$)?|k=^zAm-Y^ZfCBp%mM6@s_aXZ@Z9wQIr&U{}iYl`g
zo*-VU_(vpu&2mnZ#iKfju@Zb9B?ejmOFXLchju8GL7SqzOFOFb8R*}Z>%gZk?tREZ
zAi+8K7@)G;e)IV@%UAv)38M$aFdyT>e4q<DbsJpuCUc0`CHeBQ2kCbXC?%J8@B<{}
zWbpmM6y?t5$}@Zk=I`-&0?gSgqsrj3F%!4CUAXZWP9w2gO596V9!Xru#rU6PKo!YG
zKgCK@e5npjHaeym@J{89R-@fIh?d+A@}ds0D;?0Sca+p($uSVYpqt+?hCxkHzVWO#
zQERs#ViG~RF^JQ4!f~P%W~=HyR+2K|ix~Fnx9LWVS*EGy@V^TnWp9623vC&0f52Co
zt(4Nz`n?FFgraaI`8S=mQ>g~c<Hmi453He8b{-ATTvU~orS5;Y5E?e)L-#*0aI|>_
z{{xOUb0TFffVgUy333Wp!DZK>@ow`jV7p<Mp7)l3Hn;)`7rg@FrBJp!w6WEudhIYX
zEQBrD!vfnJ3%or{&rPUgQ@1MHmcsU)p|A}m@em>GtAOy$_*lO-%mg{KIrnSe8%=H)
z?$^jEcN>XQAudtAE`!jOLMT2d&4VS7o=IXT<-}Pj^K@hYd!PX1H+7(Lv+dMl(Yu+f
z{1Fu$tdZBTki1mK^1FnJbn$0Wgft6b90R|p;|Z)(To)HRt@>wWMnV98sW`wm;!*%x
z$t&*P5LS~&ps`ot$9#lED*?==_A+5%xqkx%HH*CeJ$|CdJAE=l-j}$ez6S%QbizCw
zKHOd|u{Y__7-x?kJ=J5(46^=vzB#pu{$snOmXk?4QtlDQ{IbgqA9cI)@MGP(TZ`tX
z|AYz}(*x=wec^97TbJPa!neoy*U7poh6W7!B*4E(!!#Yl&v{$XZ{S>g*=52G#*aF-
z7fXEdqVm=|I4^*zV5=u#@i9hv(V6(Fcldm3hlaok?@Eb|&WK({W>Pb{*4{yWkcW4W
z6Qad8n)#5-cMY&O8%D}n2CIhN=`+7Q)soJ}YQ}(Sjad@xsE=Y%vRk3=jQy8?y(@#l
ztRF;R3WHeZ<u$9sjzn1uVkIjvI2Vyvh9K67B_q1DAl72B>5Cv%9s&u@!3ear+(9fg
z&0P_>U?AbGGn^0<R$0rj%#B_t83@z2@!%B+d<vsD4Kj=u9q$+fEgW`RDU$^<npL)%
zTspx=abT0dhxzz~0b^c0I62IvSc5fKF2!%k$yuw3RC9raL?~<b47{b|v(P28dp?Js
z$nK#}2D^t3H`9|U7tpR{rkU?DndBd*b(C-sWjY2=fB_zl(yd~7S&sOcjqS^FZ1gET
zHh-glJL#d~zZe~FxbI>o-FE>U@H^4?V|Hn6-}NsA|8Dys3YAXyll~e$<Q+hi)fr)=
zNR4<bZ1=h~$l=|Av>b^y^VFOwf4)E7D4sMMEw8^nUJuM2!Sy6zKR&JAuJxiuGn}65
zwp)?cs`uluSGmm|+|l-6pKqIQ*&oBtaJAq@qNv@4`s0vb;f0aA(19--ST}IRe(NxN
zo#0=4-6nk76t!#BS+{l=-$Hkzc>mjCKR$h~-HuxA$Wvb4G!kzLy;_8)caFhNp)T~{
z$!5qhYjmo$_QC>G4WY?N_QY#?^rU*U5&7)*@L<T$Bd^eO!;l_q?0TJc7m`aLd9>NT
zX>~l|!|h7q>u7u$tiz}Zvx$0P@^rNB&GzP@z0F{twE!z9(e>N~cruQeLmp15|F(E@
zqt)p}Rq^|*unp6T=5}7aGi=QF<MZ{GRj=D^cdNeJsyDqZ;EY3sJ;QiQyBF!Lj8ZH8
zcq;WK)kN?!;K+D0Yd0B#sC~ZvB2_uwigO47C?6nd!kqds1T<UoJ$K#%#Ov^Vwb$y$
zXLP+9<b74^UI+LCy1@(l_QzuoF`a{H0wRriwF6g_HI9KzA8&ShQM;NvidQ#)sW#Pn
z3!SQDJOGv+K&;j4wjc)`n%P260NqxI<WC-TLa$eESC1_qOKtUzb=r^wtkxthsYTTz
zjj+L3bW63~2=M|fm<S)`I<X-99q~q(ObAQBjUajqjc($_s&kDdOzu!W-iDu`lMrIU
zPzETBt<{0#8@ldM`4w37G+b4{IjwnM#Aaim5%pib>ZzZN#+y4{rwXumkSGU<Wzfw=
zd_tKkxIALVkD^XEvuoGUqerJZi;>@MO}D%AyXxMNT~IRI)sN4@8Z;EBQH{I>AXEf|
zSr5;5KKJ=A0Ax3J=W3~L@JZ6m`J$Vs-G+tU@S-{D#*Y@7(8YM<&cZ6HM}GgN_3;$&
z<U&<0PdWT**g+0?d%QJVY(?&|s^6IRoA5vI@7iX&1?;{tTySBb-P4109Rg5i(0BH=
z+HBWc4((LUhfReV5T30!K$#$f+J}1`=wdSnrKk}B{!9+M9k{1mYqaKo2ZUfa9YqEF
z0+3#AtG6)g)nTnJLSMe;MbO$=wPxErT=n4kyk-@CiyY1tp=5YlyvA!C>4OT1*E10T
zYZBNC(*S|tqiO`6nFk^VnBg?&2-qb8NeQe__vXU>2@qo1Q~Y5_dJL`2$uDELEb8=p
z9X@2AgRi3|`Ahf{#^d-Hf42<_(Tn||e-T`uN$)|Yyx1R)$Jk&Jkvs}P9`podvj2<8
z7*h3LJlY6B=k(u(ity@lK)p}J?><F5Yto491}M0I0!=EIC>&D<59yFU7d)^Q;CTrD
zOpL;xE%>KC4u2Z>=g%kL&)4wJg&X0|CHMz_Sc`s8k8ZW6i~s3LLb|w-ZttN>n&@ta
z0PlaGbCLm`rKE!>0iKhgjN$;Zj%kmSc9O}^By+qMZ&H^9(R5R-0g3~e0_e=1p!5^v
z81tx4SUF%RSVjx8?WSC5RP@Z$Ls@!UYjIrkN|jF6+6P6}jZkx*m2Qi_Srt!!Y_7F?
zD0%zwhFZJX1a^lxfPP-Lmp^|HnDH(B10Y?%as_D%yd8pCzz!?GkDJ5A5QLF<oaM`x
z$c($|u7?%SYG4O!;|+93=%CgH-R8K?EU28r@TTRx$mz8}xWiyz6RrnJ7j#W>ga4A-
zkw!AbM?G8+MK4C6sN^ivuo_~c(!}6Dk+|;8-3Ru+Z2yfYA<^=>X@fM@f^$|wYp^h1
zhvS$G?#8dPfeYURa(sm+NS=L10uKX+SWkKl#`pTn-&lI)uP-|DH8G$0=)MC7ZUOEQ
zwkb_lps=arykE2jl*eI*6bal3H5B(OsSO>!M@r-O{-XG;=J*BoK@9=dRvpD6;HfG6
z=PF!-Iuq9+DNV^YmJ<5RKU;d{e?T(_fw8IC0CD3stFuT;MP9^XhjvU%Ps_oGuX@j4
z8GxWjfcY|xa5BJd!5yVFHk&wO!u1lqRxDQRTEVwtx9xk?z61LVjC)!U>=o~S$s&ty
z`YpK~9nAlR=#&zDPYr-y0-4LeryCjg`T|nVQ}`DQ|FD6#;t~TpZAjQa!HPK@<Tj9&
znVz^EJT>%hodzhF5YMcDrQcn2A~^No%z8Dq7kcpS($ERpPUwSoDA{lRr1kdn{ST}C
z=_L6@X_7o!lq4g9x7WUG{|&cDRkSpsESV!u4rfoETb8rWff}Whx+a>>F>>~^|IFFw
zqD%%?l_trRMM)w!J2(q!2yMAEk{C@W&acMz`f`3{=}GS|I%#2I1@8p`ptGNV-~vTW
zX}|1tY%hfP;1c-|?iX)Tb_QHi40jH98xT`aZW^Zpb252jdg4|gc9kf$+x2E99QY6J
zM&ZGa9rPK)cj(}Un2)yrZZ|mOwC__1Hljy&9{jPW<c%cAA;^K@7UsKtY(%VT(&*qX
zo)3)mB!p$bT~zd#7oRSJN5V594{3vZOfLS0MyuBB)gflno=5L~qK@$`9tvV!==A>w
DOhxHU

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.labelers.utils.doctree b/docs/0.10.3/doctrees/dataprofiler.labelers.utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..8cadfa4632baa5db37b9e181e85b57b475b86629
GIT binary patch
literal 12980
zcmd5@O>7-k6}DqP+s{sHCuzLEad@Sw`U0`tA|zV(pOgg+a;rkwgfN{qbD!@_=FPm$
zPi#v~NvVnw^-|Gh3T>eU@hezB7Zf2X0V)zdJ2nV)!GdmBbb*A_1xQGI=iZrlGxOdX
zKc`)!Qj$0K_uTJ(=iGD8J-t+W@h2Z2lmCf@pvx_HXH7Rv*E3lViy6~1q7HMz_-cIe
zsrX{t6m?(U4!p=WSS-fS!r+!;`pk{b#bTbChn5qpCH<!ZW`vgKX5D#>Px0w<ag*0Y
zEwn<1<*G#OQR*C11JqA`p6$@YY4J0$lmJ5<6;oXubA~ZLEb3Y&B%csdiENu<(y?3?
zZ$>R$%<5t2TdgR>nrICZmKl(|(}tr50SfWE=IR~wYsQSay^oe|ocCFq+C*YH)VHWA
z<_mn8ALPgR1YZ$n*B=d-AFQ7bT&B0yjoY-Y@7Y*+u>R2JG@o_7VEq9-)F1Y}w&gH?
z9RdgIO3-x^6=*Ii)*QXX&>&b-DEa|bc;d`~sKv)b&2mk)lY>hk$v=!0@f(5IP55&&
z{@j8;Cuwy6$hYL0nqso6TYfBV>Ud`4usa(S)5hW>s?};$BR;hm#(Km*##eJte09H2
zw3!}8KGRyh?i##+#(Ijzx<aG7yFtKVP3~61YgaA-sEq@)x~PLF`j)SEc@8;o?`h8s
zb;}JJ?Z}l3#V^lq7@QgBX?XfTb*MXzP6Q6tP1a@D0M`JbYl@;v?|+;gr%waL`xT)!
z`3a)!(48gF?*;F!C$Liv0Q5CwDN<D*x{M-0rvl&(b0F^C)_qs&SOFDiiiypWji%)`
z)JN6EpNvI;LuHK`Fm^nU$!ZUvc9SrKMvgnF{ThR{LyZ<#un0uqTpRJgfO(n;owby5
z8x3&zRI(_I%!({I*;u`&vFX8fDML9X4$6thDwF9+Eitc&;}r^;akRQokAPFyLT5Mu
zn_>=2UG2i`k`&?)2_@~P{ALByQ{U-08$nm6Lt+M9U>+~9n0RYrmUdz{U%5Vv#oB<)
zg4u-%V*Be7`!euH2X>)jYe@{OE5iI#70fdPv%+|WChv!rKfx~&mS65+$)8LGJ|YDs
ztJh&6^BoIkNRBeMjL5=_e2V4Sc=@r84IC@$DH%fgA-SFJxLEF(+SC4uB5>as4xAWw
zV?9qoLg-Z>^s?N?8zd|wOqVQvB&~X0rtytb2>dF}`g+x@-TqmBmdv^&#v7%fUd|82
zUrQ~en1Crz^F!U~pds701HU6DVshRusm4VS|C}Fp_{jn9jkQg$gQG7N2fDj(5>OEC
zcA=*=sm!r#66*dI3u84C&d}WrWqM<=Tw!uZ*LOG6Fq;Jb9|6Sg`%bc-4%;R+^r%P~
z|4j^d75n*82Hc_&tY<zG`t_il%e6?ixKLI^@?RB54wn2~2=wzzpb8%SuVUyo`#>QU
z(a-}}^lpBjfh_t{Do+Jz?4#pjWBHLr;|>2?k2L)4YP#^h51@p-fO$t`1ppYC6?->)
z9*`!7PtRbg)757<!`&dKZelV!gn2)ls<J>G`=0lWr<m|sc2Nb@M0p(?4C=-pP;=LT
zM1}0zNyst`Iq1&mbdkUv3AQp8vve3iCR}FX;t@YJl11Qe^C>aYjvPlGWBh3{3npJ7
z_|J?(4xI=nEwtJP1CDwAzL|QFO@3cWY4OQN<YqPW1|7rXu3K$<Y*`nW+mOC~<|%qC
zaBm44YzN0+<`Lbozy9xBdN~^*+i=^KINE&VJ*SnE*M5C_J+vt{OBRKFsf*dR#T-*B
zITDFo!7W}^=kz9Zkh7j;=V|ug)HzA6`b#2TltGMvmhGqagRlLR+LR~hAH^{kn%){(
zp1Ip6DXQmMASeq5uaQC(by~e<g{;%xJ;%$kThnObScgBq+Sr6QMt9bbGsRG1ZF&(%
zjx5|L98BTsj)rcYyOo<u^m|4!O0qPdq6pxRMg~yKQJka846AJ!@#Vb9v2~16GUfIU
z6xiRzKk}G5&}bID9h<812TY$G9fSDEl3AzA^}s4v;GS1B$my|vR~ml!`32pxf1|{G
zQ;IvhX}^m^u&|x3V;NQ$Um14z*>7QB`xp4@vi%1AB*^Sv;;+;dl5j|*#!v1A)RL$*
z-nn$O<UaNTx+GSrsg;pouZGaI@^<A;g;H!u*|KH(RV=UXB+nf>g!{M927|vOo7&&T
zKdB*4Y)DUmZp*o9J>5}-4KgFpA3cQC4;o2)K&g)X!`!H%;M^rzQYgzXkrw7ZB%ciA
z?G<+!y1S_=yeHQPkF8%7s4728SrzQx=9jPs@#hZ|2OG}j9P#JSscNtC#JB$nX{0?E
zf%uCUcqlY<2e30-`iS2L%MjuZXm`Al7ug<*>UN2A`K{TT_WzdqT#b5x_LW20-ym)*
z+gC>z^?B8l4!A1Mn6~{1)pU1+QMXmo^w{SsN)xK3He@H|z^TI)5tCw<rs5I&KNVyx
zyO7CERJEFhn<;Oi_G2Ivo*oeU$bC<{o(h0pA>*UT4WkfzBI~t99r;;tyU!kvEJUCc
zo%R!H{Ak5pc&#{WWsvc)qCsqOmKKOp#bKIc1cQynXW@>Vg_Cej1`AJ9l)8o3sR|gL
z&w5vf{u0wz-6+!|X)7;Q8lEQK<~xO3LV9mU)X(0{`id8?lfYjQ+$83ADT8mmT(1Ir
z<>DelB3tI5<D|(2|Jp!^5X{R#WIs#8$Qa}cnLLZ--B;m^Trgx{gJv#5ki2pwTc3Ot
z7x2Bx1@M6}5c@TBf@?EM7{q?PdV+zGkaU9nV2G^AoA2Ce>zSS;sxjamPfbeR*dM9|
z%=tI@GqWNtGASp?JJf^k@Ne~@cvfvOmVLG)<lEIk4n{GVpdSY5a1?p)&*};GkAj@z
zT0lTpU1{F<xe^Hft(LJ0gyKn6N$XP6+{#n?hPb5tirl>6PC?ohL8yU>Zr_0eHPiK(
zf>AGfi*PY}4T{@#Vq#R^a76O<Cfa-NK7`4ue9U4HY9I_fu<a0ts%Vsb7TDNd#9sy5
zX+MUN>X0-ApzId)evbA>MV}JuDq|fN5(-5v+eEW;1JvClA9Z^0G(8ThP*cD{y3H$>
zAyDC^01w8EU^iGxOS`^>SLD!Z_>n84RH+-31)@I4Au|@(r-=c}_WdIhfl#5y)OC9-
z%Z<7xSr3kx`_f$!pZbi9sq8jPui<*(DH#N8=#2<3j`$~y59+R&w4lwPD9mi%W_%Ds
z^)}%Vl6KjCI1xH^Q-_;}WE1R%sK<#j6X@JqvAxqrP5WYBQPciPuB;GLOAP4nIGed2
zLDM*!PMua#ZGz_8FXRO1yWW3Vx+jgMlk;9z8}!vvCV9;dNNZ#+Mv{n;*DH0D7q9#y
zxHY>YFED?Xy&Ju<AWnMCk5D)y;zd;jXQXu07O(k8QKAeVb-1aIj6u@hey%iJC4JHe
z*RxW*;Z5^)Up)ej7~%Rl1|ABIyyz=rii?Ejk{;h>ALhr`vb+TSN?`YhpZw}t=6z!y
zu-e~8<5A-$zed|@fOWW6^p|T{UIHsT&2n&(Y6_el5~CT=?$&)PcgBCQ|GqGpWf^+j
zL^(Z9+1q8?$LgwF7PPaIs0*39a)_gpagat`zBIz9Nz^5^^63##DYC7iE_Uj*WY%{;
z>_u{LNbJQn;r2+D+Khf3oWx)4?AI244UV()q-*lKL``PqA*_?chtmQ*O+qA;XYtH8
zp$NoJsdUB)<CG?F@>A4zT+ADhPpO_-me_ePEl~-cVg}w=i1!ras~*l0P}_Jw!9$`M
zi>WW@PJ}GTED2^|Q`EPZi-(rb^J9D<jKh%X*XiP8PECWSAon~zXOqv!ckp#6^bCy>
zLa7$h)hNRfNfbxgo)^OXKpJCKd1hQ3qU={U>S#MiC+x&1nMcgV>S~79p`_XXLoTZl
zWPQpKZQBaDmZqg*#-u}%r@AQ)QaY)Rrz&=VIq{hTVwUSp_E{5$@ze>dLZqYxX``B`
znXDCUVY>OmBcc~3rgu<M4}GL*k=%IlnYY|-6l%zF^e6)bFVRuhUcG%)z6BpIR%*=m
zJzwMSt&p+`oJmvzNh1qh6c$GTO)yF<R!TLcA?!QBLNTw#?a7e#K3=RSbry@Xh5$fu
zK;+2OvqO&VZbkYQ1L7u9Tn->jSseA5;rXVPPv`^=Q+Ro9<H;L{SSAv9S=-t{)K1Ln
zQRr#CB5}Y1sScS@r>kYe1F*8d0_S{JM-KC*Sdb+^*9~a<dqv%VMW&}AMGmbN5n%TM
zrsaD|mKdRS!3r!z(FM)40t)eAA&HdJsY38m;vg0iKm}A%6Ihcp(<rN0W;ZX<FH8cr
zn9^CX!!(+SEuTX^clHU29ww~<bKETu(Xl#K7(Y1nkN0X~zRS8uW^OZRqk&PuMJj3O
zke<{-G<X<xgN^m|?d|Qg?rz9Ecg^#+kU4u{9W8_PSRA7sQWW&i@SKW`3T2KU>#p8>
z>nDKhyx%rT(@;ron&as-q30pf++tx{PQ$~FgDL8v-hvjHA&<|@h!t?Mqh;!uiLa^T
z#4BPk*hMDrj>fGm?%)sjJL%Bdt2h{RbST>65%f9$P)Fsr`qUiH&=Y7^4376~0~@dO
z4Jb<p(ffSV#e*Sb#miLp#132mdpyH(+u%TI7><ys2%=W8-6HF>m<e6o#ax^rBkPJd
zW;mXHUSr7Nax~<GBDs<>*e{C-=3bz5cQK<(1auPgLd+b&ZIDT&bV)KC#zde?2;&VZ
zn3UXp5k{;~DqVFd#%S&AV~W%Qx$`KWrb6}GK1Qd<5&RX1Iu%pco*K!D&4AyC6m?mT
zc>P^?PM=Eh%QBOk{9ggR{I9#@y+41rBL6+W%{snJ2lA7c>-tTAKF8ZKb|K>%kvNp6
zpTzDEUXrD*646x&S(&t*+N6AmYKNSD(6!U@oQ%=3=?$gAtaZIGVm+Nzb~;iR9|wjX
z(g}5}JXTUOCT3v+4KE@K7mGQ=L&k*4oCg<9C*@bM>CeQEK#P$u3cG;EiU8(UO_-U&
jLh)QyED1YjxrP&&ut44x{cjnwCRyvmu#poHwbuR*#d2oZ

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.base_column_profilers.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.base_column_profilers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..0549556ea9a0b983862234bb10a1571c3889b3cf
GIT binary patch
literal 76419
zcmdsg3zQsJb)ZJl{PY>gk}L<tvfKDKilvcE%z7DP@c)C2{F4D&h*nK^wW^<bx|^<Q
zeT)qbkYFbjFsMy7KAW?U%_d?GA)K&*1Wt$p$-$5WZ0yB&y_<!^5S&d&2+2t>2KL_f
ztM^{LdR^5$Lo(xYJnE`?pZo5;?|$Fs{?UgoST(W=|BE+;?V#Q~KI>Jh%~sV9d+|iI
zRp~DH&8T;>xASLv_w{Dt$&Pm{Y;`*ozZb895|yCdsCN8j?_e*U!s1cA5zg}Z<Dp-P
z>aC`%9*hQK!T7=6OfVUbM)j!SE1%-iuku2_bakuIU1*kW?X+t3hTjQ$SOLnf-R~bq
zK(dPcT#rHsU2KiV+8)3Z^@7vl$+8?ouqGbku<wi4HtJ2kx34?z#p}E%>eT1E5sVqf
zxTanWaXjOdh8KqL5`K?1y#@AbqS|dI5A$B-NXM^XnQlBDd57^+FW3}J2OEMjgEhg9
zxUuKX5XQ0RNZ9nf`8}13%k55!0A|8Hx7<<g`0ZA>=Nd2a#EAC*z~LSS=$<NkfZ`Mt
zv*JfMI}eyDS16{iHHN9#P6$Ij>!#J+`CwH%T5neU;|hKm>Vvakh`~94(sSYe^Wpys
z;s2dDT)<eTP6s&?uWftvPA|S>p;hfR{L4y3;ONCa!>a8rR4W+U7xlbua8a;Z!QQE&
z*sJ+o)b04?`Ht7D1R4VONL1~yBd~p94v`ONXdW)LYQ;tkm>&VmPsWqLecs`Y*A5iy
z#}{1PYDQkY8I~AxmKga;0;Uq>wpqsR+jAFB*#2t3+Lesw_627lXJ^tHk^CB9&E<t$
z!4-hyStgEzJjooW&eUTe&=q7({92SWOwioQXHRK{;=fdH7NYvjUi_LOTt1ubxo2g3
zMnag!Ye5uO6h;yfbQQ>3_)-q*Aaju8l``@5>279FGR>8Mxl8w!_O+V+u2QRw(m9+f
zVd-1w1OHaKoEF(hxp4-d*hKsCn$1?^86rI%W0(`1D;^Wh90STV@^NN7d3>QU7q&fA
zFca;L52Ev^-$RBa&`OQV)K4!LsbHlyPENq-28L5mx2Q9OiVa5NLUL0|jDodv^1MBp
zJTvin;IZ963kqkv5y7S;r_a8sM1p&Qw<4|XOK26`ON9}Pcao0R9PE}fs|rrCebT{x
zp9|~>1e?J;fn8^V`(7KkTPV0F%NP8}?=<S5T@@nz3^rGAKFR6Crmk#TZFjTTuB=26
zkMq4uN20*8mcF2d()O4==y>|=Y&^vy&7P;y5b5_@fRGPUCf!D{fStCx%}Ufw&Hj-&
zK`!{E_xh--*LJ$s&+uNi$0H@9sSm471s@gSKVFx}Gl{1SZNFIsNnbt=mYITDZUAkM
z*FYts{b$tnvlS=UzkaRSS^z!Xi&wW#fYk&qq7!Y9R-<%I^k|XD>m2r@9_tAVf)jJh
zBI?Dvif9WIfhXozyZewXPXmUY1iDx-^rSk1;14B+M(&mLxz`x<_tYxJp#L<*6G)w`
zz5%4Ki5?}I*P@ouyCkFFY&d#V?NJ5Q!CxzQUelT<I+j^SDw>18%fOtkn+l&wjgoV|
zQBHwNh`8Sbbo^Hs_bD;%_?*7_l(T5UzT>=#Ad!65CKB1{#+r2$<b0?E@F|>-IaA4{
z?hdTXAUa6%BK@LLS(&h>rECq3lr;aWONts?^g1`V3boV;t8!8Byf#nOuKMy3xshSk
zGI0E&4P3!~<~$@-qgI}&*awK*6Y{9L?;NNk+n@;zn>ptrAA&K}oXl)NIcM`#@o7?1
zwc38ii&`B;_QxZai#Z0r^x5^W69w@|E2XK(Nvty6X9fTbCgZVslSUd;ZB6B((AE|q
z`QP0DfgMoux{auO)N6Eo9k_UF*lo94ov0ixc%A4i-4;eQ9t7P%PN^^(NLR>g$hZCl
zKLmo1+vVKWQ|cV_FwOum6|f+Bpsm3o1Mv;PkDg{X#$$u&$Kd&3ES{)!8x3XwokS&B
z4R#<PH;n*b9?nJ}gs`?N;DoCIE#X1V1XoBoPEhWESHu+W+@ZIDeg|`6_IkhRcj}cx
zZz>&_gF(z4Dx%6Qj==sy5P6}|u<h|U?=xY|<P|X5R}GFxv~B!TSzt1LpNz*FbueGO
zhB6z-H?Td7t3l6vSV_;Iz^BPKjUIKG1OXyyTrnF6jFjEXNYRLjO!rre>HaVL;|fT`
zW7Mvy6t<5PBZ2$_bfVY^!X8@>P5Z~&je4aX^&X@Jj(MFX{8a2R@@1@?SX;qKO`=Wd
zEI|Fyry+o{%>7WDB9ymahJabTs&pXXf_M$^dC$#z*DumMpsY%s0}_ZyNTyax4!vU7
zd6o={vi4?dn#N{rak3fm_s9y=xE}+?Mr$*Rtv5hRx!9V#h;6FO`ckN>Fe@`^Gg+0a
zhT@b*$r^<IBw35~hsO+aDt3@DY?X@4gdau@CWwpS!NLoQq&LFJ*f4|`)rOx09B^@*
z2;12!=fNBEDiMo+mTIjI4~b$7))P@u9*mX2j-u71#wV}Dkxr9K@t;g4F#TZ+mac@k
zZY9CXZ*111y4R@R<Co?^^>Io-U>fYG2r>ecC{f^-!tOkk^O6jMR82^610%(CMM*)f
z#TsYbv<B#?jA$}mSF8JtYS{?YaEBC9PV}>)2iX_QM)8_vU}fE{BK*ViP}^hml^hC{
zD~F1VgS?py{s8{N>=pFZBqZ~#>WLJjiji_2f?ArngXSuBmUizh?ZX!^PmoY3F+&JI
zF!KUJ#oPuc!(3}M4=WAxaFMV^DFXCioya|`80A;k_AB*Tz0!LiCA82WIL3w@!ar2$
ztS-$YQih@tKdCb_v2{2hSH+vfaQuaK;Dz;29ncuV2{V7T$Kp{R)ccH1bo0iT{^Y$3
z=$HbXT~rnDOo3PgIt>=-?k7134U>1nA1lr<>O&;LMt1hY*Y<d{^q2RaG(u>!1r4v;
z<E=KHk%+Q?=CG(O_0s~=q}>N|$Qey21C8T^=*~NvBzLi*ug}ryepXb7iC_m$tPGSv
z3J%2kA#GPi8kS~;G)qb{?F>nz8-{FbR)D2vlcac*<31!TEFt@R@gkl^A4JcJDa}$x
z<sn&kBI%I%5y=b5Ky*4khXlw}v@^kf4t`ZLuY~^zF?sTJSvUUUWt{O*ut-xsM<f<m
zq(pdPJnLr6@9#+@*vwT`R0-5Urc6N{`A2L3J5DAQc^2L=*PMI-%rf#t_@j}5d<iYq
zV$o{w#!r&Rv7VEa&@==eeZ`QJdQty}Q>i;oz5*B!6y_=`YtaSDy(geJ5KJ@xHnW9b
zEQ&&%l1V8ybiX7X<B18feGU2+;J8p-L(afQngLUu$D1v-Km=n$L7C1_ZcPm<B5$eI
zYqgo3!wX2ry9KQ(NXKi2m5vC}5R&mBi)5sOY=N=W5i4-!sM#gfbM#%UlWudrl9FfX
zc&~AwTCYS0MLxc?`_(0U!411a9Is^~WTKco=wkR1V1hx#@LpLresnpDVTL0rf`3g+
z(75#zrXeR?k~X?!kpbWxBuS=?S_i@|Hs0#oa+9RERp;1a^w&cru<4bQM|Q&LE_Vm^
zgcI+;k_5mnDt9Xhr{QBHR6VEDQ^Pl`<Gf{zA)lY&NNNoapgTf}iUVDfBb4q2xGok+
z>=1JiqOf2fxk|34%_{lTvt)kNDjZXMFO#Xlz7ok+9q;dV<J~@x_b}jc@%jhd9oTuD
zcVOXl{F1@zQ#xWeM$)W1A<7x1<|mA%4Vo%hBGuJ(uwc?rK34jj6j~t!&6L`R5}T%u
z#TVSb+R@58NTURFCa6`NGoE($P#hhslR;6zvPHP|LkY}MRQ!z_P!}qUx#;Bf3}ytA
zx2KrAu2k#lwL0(W3`RZ(&6q1PM6T66ApnLCt1xJe6?@QWyUh*B@0yVGPpmQk4SXs*
zl9p}#%R+9IB-R(X3hAt^9_;wA^s}kOzZjEcC@mYCzru+M)xpd;>x;1Y#n8Dcg~G8$
z_8^dUWF%-L7XgBn(5*cqZL`l(qmsL{oIune+|B2t)ge^V&F5SPju?yDf|ugMGRq1N
zxkHErwnBt5+Mc7NWO8zVA?&W)#KkdSo?|7L_>=;#=R*ey+zH;fu=trvK11%dyelj3
zv`9Z!LfOIpW)VD#;QtY<v_o(W%mdO=0N}BMBv*E$X2_Rj(%eWB0o(&EMXgdT&03{n
z^(bJL0XeSp78?!$AF=UP@)y-R@60`DHM+eYYVkBC@SMm9ydB<VWCZY&X7L#6n>?hB
z!?tRe561RMAJKm@y3!StDhm;Go)>tSf}UMe6`O_f0*^q$*_flow?tbiFOb4oMqa>D
z?%X^qBoP<qDh|Ti>?sl4rXRp$(KNZY4`z`FJa2$=NeyvYniP41fEMj90LE|U+Lg19
ze3nC}v*1Z+PG!$*MnG_R-tTd&lz-}Pqv==Jdja7esU(DHZ2u^MjP2inAkP(n9F)T}
z`36OudxV@IIKo9H$a+SQ63d}6zd(B@$4m*cdUOE7{J0ol3R_!e<OWI=8|1eDESg_6
zmNGF^=&M;7Onn5$R)E80c!?>vxqmq^1rc?HDDD&hgs1L=8W$-ncO@Q87uJ`YVp{rx
zM$;Ke$5@bA52cf7Fy82Qawh(IE#QFckiX7?UyC0$zpdMbFt@*`f%EHz4V*KWh6tU%
zD{Z9A@_|-sW!T*X>r3WfOJuX^g^(xf__H<Ka5H-itYEkfe}PE@G4CSVVADPFKuD5z
zoAku0BOybTH@Xn1<esm>!Nc@hS=Nd_yPQMjg8tO$OwtWw;yshW;!($3N8-R1M0RI>
z6a104U^7P0{(^kG!-$)N+KW`1QDVrGvOCEx$s2vp4>$)M*yAhjf=YQK=O1u)V2}0i
z4lDs2{Gu8!%BZIuvy$P#u)`rV<*cJ)>LW(a*+zw`2pz#jXW#jPZl@?A3`krw%T`80
z8ek~<ep|Da&=7`uY@AQ_f@T%|>mqD8##x)D-OwAEb^89##isAj@a5xyC-M<XM5Ju=
zO1OgD4XrI<MCv7JWyjSkU89c6ELMj8p%I-oahB>EQ`>qcwWVlOjr+1Pie~*LS(m(s
zeN2-Vcvr&eG-QG@d6}WSqVW7L37*rDv;Kaw8YSx+INLO)D<CJLh4;JxEA8N>!A+n$
z-GQ^cQd^g1Zl$JX3GGX2Y0{7xK4H8}<CPgbK32d8I4}2@R44790PE?vSP9z7h>PJT
zO?MkIU5|@xHb*XOne+!a8>k!oN~0S$g?LQtKTxo<i>f-kP)zJHXgC{dG$tldmWqj`
zFqRP$vy|JM;t`3ZIQ<PIh}lM>6fB`B8eG}Y2WLvO3nxHMS9>x?tK8KV^Iix&C&*&q
znh?rzK3ZJueE<XO@uTaxY_2wbXRh}B_=~#Q^w-k3+P91N=Fn?+p&{HPaRL^pT|cCg
zDi(}oI@|H*ma`|xQ4R-G;pr!bgf$Bi2CUJUAX$d|Qj19=E7P)xAHPNV@q!Q~A=PZ3
z<cy_q?Ga!#ReWX(D`Cr{Xa50NYbDVmaqY)dT;u*w@vI~7!x9a}o%;lZ<P<hTIU*sd
z5>kcj8?dS}y)xsI&fe8Djh%E!zln$=4?&|#XsWyT8f{3l)mO+2r^fn8P9v+auIyww
zM+Eg@-xB9Fv5ko(z@_D$qoia~@+5XYO`gcjDcp`H@5dT!E995t5VB<hDrFvY79$2t
zDET_!FB)`arVboz#ngsP7k(Q$WxDWr{6%#k{gt5$Ilw4Y2i??i8=gYgiT-_so*7J;
z+K`DImm;~=qDc5aJN`oJs9&zuLvOy}SIf1AcX+Ne-)c2rrS)}QBjjP{WT|x`o|H&2
zcW#t7lK)r&YJ3n4^CQl6%iVVu1T<sE;ysTY^G6+Xr#Ug_jvXiXBb%`qBX<0<{={cC
zL=rd7TSbi-Z?knHj1&7u9R(LUQIHWyJ{KzGjU>Oq-GM!l%sa3|lJSdbPAQS(wK%ib
z*bNsI3=H;BANx&4TiN1Q^&=gzVb)2$0O0i$hent7Ag~)7p!xDHj0~Iub}o$U3xl>W
za+FFp!H4`wNB%u-SO!=c$w1Uqq0LCcSozsD>?`3mVbEc$+&0toSh-?LS~$;QS^kQ1
z@G8)GIgfUdkMkbRH+B(vwhcc)GWkB}ktMWeZJ}o_%Y`|+tV7R2O)*pO2V5yztyy(B
z=M*<*S#@c<ny=-QBab4-O_R^$W;|}FF7Lp;j@?i5!2@=eJmCCf5k!lC^W#`)2e&8s
z2b}9R<zJdXHRyXy8gfRH6GP5bJX~}E4kIts;lOEbkgnrfRZ3yd>NcvSdB5ZzuQa+<
zzltXm<6<zCzl=z=-MZk$s{Ny6M{2izJ2#5dNbK)Ht#thQIe429zs66R#bAhNJ$^mT
zu_ttweAZ$Aq0y+J#}!S2o*R!=zd(V^E~?7<Lec6UL&MoPqS0!Jpj5Ovg`bRQwWZwk
zi^X0Nx$&Yk3Bt~VIMG^JvGH&8p%4;NEIgz|olT0BpnsmDRUR7`BC1eqTxbm`IxMmA
zEfen8IDTjGfNSs<jR(+Q8Swz_7!Mi?C^uRjIK-XS0=UPOMTrT}GlNQUH}}3_1LZn|
zLqrJZNq@$P7kc9~LBK+g2jJ|SU8O6VCl2m{Q>mJ@Iz$W*L&lNmxLhqAc-T*+)=ZFu
z5jIe)Fr>(!wf<7hJt~wB0`*mCnJuk^iHzauyJW5Si_1BEpp%7X5t69&l=+<n7tGf>
zMjH}0#bekBUda(`#t1U(MIJB0H=I9`n8P+(3%pdaw|gy?5*m>`=wp0`bBq~LgttMZ
zyitUQ+#T4X2)qMJ6al}eT&_eBrf{|;vykJ$uo*C*Ks_!U4ZmSDn>~3{RqqNY&`$EX
zb-$KEXZEhv-**FQM<?$fjf(V1=j8M54ix(+Cnjhg10rJeE-Cu(r%to~<%YB<DnN1@
z9emr}!2qbhJ_bYu9<a!SR%(0i58QCN5MfwB_9zycjYd&r^g^Ftc;+5}1w=z4r(T+^
z3scf+jFlAw6^}aEUoxpn0As4!hj2Pn$}6!hba!A!C-1-_vG7ZV#9FV|2ZhAd<wlzZ
z4iwttoTN-9=3~uQGF)1QieI#$D(4?$A8)?jsAUYsj&C;*K<c!xvu*RPx%<w6$UMiJ
zr%w;Y7!96{!G>W>Ehh_G(9U=-cP#mx&M`Y<$!;!(=!_Oi?z_qUVK*cLM3NbR20j%k
zrbSi%vKUFWnR9w1d25zYZ{b91SzXHg4<~8{h%;OJ%s1gb2C%rcf^npZu(J(U36{xz
z&=5-)c0MOfhgrk;$H|AQDOQ%l!}hduQ=o4cdJmjj3rG3Nv*JqV(U(Zrg8R+DjD~x^
zyv_-TB|-!;^cyu9r!HJivNd@YS$dj0lbf@VPI%(L3Z&ClITEY^?ZrNO;5$VyE+X3h
z4=e59&TCdgdoo@>50@+Wk^M|%JUMw1Pg^d-6$1;(A-oW<KwCCBy5K7GQ{hBF?!m#?
z-Yk?tL*WWT;^71d(}pEjtX-nlT<}vcj7WE1_jltu-C{9p4@GmRQQ9W~H|a?BB(w#F
z$M!gVW-)%!3?suj(IeSPQqu0NzRYMY8)^)D@)-8n6uj)Bs-;*chJ7A1oQ)l7<}lRg
zql5#SghOK<-E`R?<KyUeVs;E-biiApWAP|u6b+=^JV@_17QimK6bk3utWEYo*#WTY
z^qi}Mj4%&=*Pw&TsY-wAnC%YIZwD&5tPhoM3t{%yK$s<a;V==wxaL7yzck1IIby-E
zH;?YdFPhlMNbp$7U64~~N&>}sYk&$j`%A35tn|!SA0nchT8pEdCL^>c8HIoJMc|6M
zxQzu0N;B6a0d}e?_<Ou10*yYrBZ4gw6-!6q_6R((AMPwbdnZ8>bHDW+JtF?VsVyEQ
z%BZyX6hfVOezj_-XU}4B#?2?_(5)H-KdIfAUWG1O*CJlTL}U*-)L%B5%T^1D2Kh4z
zUUt!eXW|pka5i?R24SetN4W-4D`JrJw?4+d9%PK11Wql|*RTE8L3;k@MZ<0?Btc%t
zi(ufrloU#_UWOF1lzZji^HI_=9-<KtCni+=W!1;~5F#b3oK2D+qai&_UW9*KY7ATD
z32HRGb8g=HHZ9tJ%cVS;h|4nhEYVDb*{j#<QYL$@Be?viqRX&SKTjbs_0PRkT&Zmu
z^X*o<+khiZs?yucRaOom&Q%;}aZ8b5(yezlLyer&Lv$=M^|UjLI0dzL5(Sis3q^(}
zs7SC<ek$6IN~4e&k`n}qt*8$0J8}a&sEV-y(MRRHjS|v11t@R4wSPG=vk}RKc*8AP
z_|g**OenPU<n=OXlq9J2-e#CJ?bw!yehgcB^1CoFw)BMlaxOj5dr>VU6e?`5Oh7MY
zWEUS<*2Me<*x=$qW&K(TdNLD!W^jF0!bN|Xa0MF#&IaBa^9D8ESYLpfvX1)u;r<sX
z<!0FO7Fd>tF%G_isUvoCcEZ_txK^ditW<GTKqrI^qc;~RuiYPM0YhH}1LIaqR@Ww(
zi~9_325*E?uQ}hzENNvW%NRp|u++q(E&`qfLa8uiPdgF9$JHxO%Ubbc%X0OKl~Q!A
z$lHYT6Ynm>2LjCnYw6VZ8;Mu@%9mdVeo>otf+qKAG$GGpGsgCwv->cVfWL1!9pZoO
z1F`EGp@fSRh?5&2Hk&NYKul8H_5$i=pSASfG_JYXgAV@G1}FR5GlJ`&Qr@KYneGnk
zNmky0CFO`;)aj}$!&wJ0HooSKB5KBTRly{%tUGzR(PFj$P;CIm3Y^rs6YHh#WR@Y(
zGDiHOjWJg?`$nUdF%CPT-9Y5dW*>0(twgi4aF}u(W9ICti9#114c+eITcfA~oRB8C
zo@9)Y$3UW`EGB7f^El~+d<8_rQY0S7=$%&N1!x`&7|bkkF+wwPPjSK2HzW6(C>WJ%
zr3*=YRj9UV^@iVBglniR%BjGe)W2XbV<HCP8^oQ|!;X;(82w`4hp}6>P-^G{!E_n@
z%f^6ord00*?tkI+$v$i?FT76Q4E!Oes@x3R_Zn+L?*{&Ps6|s&luz09z(eB)*&VOB
zUP-nWowUfiG?kZe=e2{k_YZmJwRO^2`25oVBIonh4Lpr(of(TD{{Z_@oP}(z?{^#a
z?^C4e^;PfB!SkPostV8Nx((aL@r#Tp&i~}&h$FTSP;!pCN|WV`risZmiE^^%O?Id)
zznc>R_%aEmUFp0YyWOcTc<7K)*OMNLP48+3XA_UmK(>*gwnb=3ic9iMgms$y6$e>3
z+1a#5OyW|H6(>ooR2$@4Y(CcqshZH`pBP>Ku_#^0cd-V$Q9BvY((lC_+vpNLs_*~?
z5|PX`SV`JoAjjQ@|DA)rne(P>=Emr`!M+~dbZ*eqFr+TDa8Ue0>@%P_s*%!*OYoB_
zp%X(3qQPJZ=}9wj-!<na@hEwOMv(U!O*$v8SYWc7f|y-Y^*IVHFnKvN>_igH5K0WC
z5?Cn&WhAgH<u>m_=1^`;Pqbs4{stn?Y@?rupC;S-pbeRTCx(!-bB2#s<!F_MkHv%*
zQhMM}Xf^Z}+6})P*6$hS`fH0(k}Uaxxab=f)7+U=VAf-#B!!nlA|%J=m3k=MMXCd4
z8GzmmOv;%c*_^gsgMs-j+B<!6z7t5R&UbyrxzE0NyQ~{OwNe76I&NvWG1*4B29~h$
zFcd7zn=|(iy<g&kZ;MT*uV@Q81s*YK=@d}ak}C6Du_}a8jj<3^1TpxL%v0{k=mKsU
zK%iY>K*UclLY@$uybqy9^dvHg+yn2HASS|`OnTLKp_zeZAg;__sk}*@%X>NZSR+C~
zj;p{$17PG>XsVnemvt35yT9ZyfP-bpzJR~z#&P<~%#txlIPA6G9(WyPypCpwi@z<B
zRZ|UjE~;t}01u%Tv^&@=(8HA`3@KbjB}!pJ`vNiZ<b^Jb{*tqkP~W;Ra;t;CkagoH
zR*X7G5NGHDZQa&5zcW2C=&0rUU5OD}=1Udrs+3LeNd5sEFr@4=@NQ|PY<@lyB6da6
zo66T`ISB`ruc85vuNG?Nmap5UgnT_6e^L2Le=UuCeG}gNHq;TF7WtH%%5mGGidK3n
zYB07h>UqeJyTMW^Vs8IxKXaSnLc0zV4qGU&{6bq!!4fL_ca`|5OLHZ0KlTA!Kzxu(
z5?Fu?H&Ka&x2k~;8#-z=D&awnvj<&<&jN!CYSRC-th*wvX2o-AliYjjCrm@GhLha>
zEsG2Q?;ts$!?-||hh>bnI=5UaDQ?wK_N42TPzg}0<gn)iM~=)HO7ISM2lgB`@4%8s
z$1f^(D~koL7<N*!F{Hh=;TzU*UN^>|TUn}IkkjQG9>CoGqEAV0K<wg@#6dLk62j=g
z)cobNS>>pQv)uAA#rosCyx>FmtfM}5quxG{2N-a<*!>ZA2X=Pn9az{Mzhtocl&&~9
zM$+6nA<7vO^J7NS22GW95jnXq=_ofheI$k1?2UY%bHi)LEbkzV6}B%@XO1V_Jru_X
z>tqOQWS`UWoEugbHjEkR<oOJi1amm=X~Qo%0d<}b;hq)%L$MPgrZ(wwNoRO6zzGoy
zKm(r&o1`UN|FXFFC^5sxs}OzY0_rD3FwUY1J|A!Ib`E|3ol}svcS8TJO%EJZ;@k%t
z1`^zn^8qVM>ja;d$14!`-f=2XkMTmz?^cgdJ-qjv>*}!K9FJE;i{9_}&593O31PP(
z1Rc5yO}+~qto$4$r641BAfczpZMo@<J`<+PA6=F~8|F{VGN*_wo7l&P4ircq@VnUO
zA=HZCS!9(fSZRmg8kiUEtn!VT-%!%xGi>~HzbfAjfCv57(yUd&9a79l(6i5mdyvOz
zcx&!KtEtwTp;oeN4A@TOqmRLdjC?eH((E5Y+Ufad+wLGf9@{55X=t?WA)_l@J*W~A
zLFWe{{1OE{yQpe970Oe;9~yQdkLIZ*=2Cg;6yh@S)RuDR=3yj>yEs>IkVs}vi8wbM
z116ECNz@0qNC%$H#u=q1qbyB|b9fKYqKmf8@lT;Sl|!?60m0?l93R6<`31l>)DmIj
zMXIV0o{s%vLLd8gAjtnN0y*8C_6$XxdxV@IIKo9Hh_*|SPiyU+95bEIFBBP`Ak4pD
zrTl~`Y=&*xoR?cv$wB@bfR*!*4}K(Rf7!7fKyg`QVir#HFDGUpVy_U<oic#%H6=oy
zi=>ph62Biym|>EbTCSSL-5FLLTM`lLEU9@F;D80)>93^;x;ONr#TGsMZXAt$VBm0>
zCAM!Ki#B*T{#ZZ5+rSczqR8RLG_tPt!6WiKev+*A(9g%_@<xBD3!DSF=eF<*aZ$w^
zWUUo;HW>!rlN7XhIyT3r`C7*)k+`u1r`_r31h1ry&CvX9k_`BFb7=Pc&M{^jntd-+
z${T=xkGlhVq=<K53IE_1)!tD8@WULM{p&`v*+zz{7#+)?3dScsn8IjwB=VDPSnU|)
z9T@(LegER0xI0iHOgWK}+P~;r6PCh-^8m1~xq&T;jr7sk-*R^_05(!bXS-I&rLf^R
zJ^TA^P+hn%tQvb%mQ72esDc2YSTLn>9AE(%k)$6N{q*cJPSZt!F=y>V*b0^MimvnB
z9oW&yJFti@{E{KM20lIeGNVlc2MTR+PSt{P>r#eJ%V_b7Hd-Zrm3@Hr?M5wQJa&}3
zfdFc!r5;;9rK|g@yYC#h%(La#Df-w*j0xssWDDjQ2j<R@{H$}>&J2m0*CDQ0EJJeA
z4aoo*5(c1wPlb?afz`h(W=L$-ot`1Fo>5J$&NMSx%j&%OJ5JQ7(ZQVa+}daERN+Sf
z9GCNMq*H9@N)SzM2UW4O=@e}ZR1W_UgAXh8Snd7XM(CR$DttUP_o)iklblYTK`w{G
z4{|d*3lgo!W3`{+Ncf4Qk^Z&_#znC5d91X9ySEv~YLiuPu9mUa$bBB_zt!>C<6Crl
z#jrdSrJ=?)p8y<KlS*r#Ij}rzCurj*%`!4Hf}T`TV!ZYfw9hn}%LW`X06cN@5(-{+
zQB{i+N*tX94LcD;6Gsd?+Ca(Wz$sjWz<JtID9~W~D+U=OCxH{Y;@E87v3S&bzjlz`
zuPT6HaxoOn8DJ;ZL)n2a96SB!gM$n*4~qL7q}?2(-y=}TWq+vbTL`)BL6Pe`OZ(>s
z86(Fn82IK{+W18iAQ{P3OS!x!W6KFp<ScEozr@6|<U?sjZ&e>UqQv57Y5x!;E$G7K
za+dbT4H{*OTIXCAYZQK)BFd^x@RP<3PJ!3=IPJ%b=CT1-)XASv@Un{zJRiRZ4LcD;
z)d|CnrcUBMCu)CvkYREvxDmXs)$~Pj+!ki|?jSvXXVDOxicyg76~HlYU`iaN7%)Q|
zS;`G@9(E$3hG+zw4HK&VLhB=aXps_H&L+j7+AmP~mOX{ARlc|Z4ey+J?r$-vc{iLQ
zYg*xD<y|Zf(dLGbe3odYcG#s`by?#Em#;Rt1S|FN6O?m+@|}FmjuyyORt_Qeq1rbT
z875U^*Fp`KL84F((Xq(X)0Uxd3Tp2p3Mdt8MTRH5y$V*!Pet2;Hwu{{JVBt?is}Hr
zH8;S6DjF*g{T0tKN=xS~pzIO#FDE89;<*rexTOnU#3G^zg%+`hP?03NWf2SYTpWv7
z@H<<?@=+KVTf{<tEzKepaq9FUZ_I}!iEY0Voq!`-_AlzX6~5Lnb6bA=__ACUZ40r=
zq0*%gjss{eRF}s%TcU^0Bui$tc=K>zuLt+k3wp^rRcxPh8S@yhr)oxLPim1gz~wW4
zENiV;N+pYE#w7`v_La{%CZCo#DZXqb!6*4DHbZ$Op|BPV8)NIPj8M@xoxQ7>5<4A}
zeiOk;J_C&|ZH6K@(}N{JQxhvuFwh+=f5ZuBO;9Ly;yJhbQMc2iTUa<_iqp;54i<SH
zWR8-OgUQG?V7qDZ<J@e71c41K<Wa1_wt&1Shmb8r&?4lEMa77r5y|uk^U=kkECxFv
z<XTTVvYwrRvmF3un)VF*MbBuUzcMr}2N>7M&Fa2E=D|JjxZi|Z2mP>zr+yuX-`w%r
ztxmM)OGOv_C}>qd+1|0J%9cT!scV_Ea@`<tdq2&@@zL=YT1WkIwH|u&4Zm8hHN3-f
zrTG?|ReE{pI<FD><^c<dh?|s3Oau{>H<C@M9lsY@HS;{%EK#>h)`~y7ER74k=SonM
zs)$5MjfwY6M~O!rbFYy&D6XOs{E=5<Gseo!m-Qz;BW$uVDsL6_8isAQZUo2JKk6vB
z(}{wNg`c-UrM#=BD((*KOL=$)mQ^kIMP+tn;pbYMS#0cS?~;Ag$9}?SD_csd{-kTQ
zCxsyQ@`)}*qtUB<nU5PGpd<5cg#LhY%+6&#ePPg+`HWHlCs>g`>G(h8hGl?-J`6-%
zY1#xJu1tKL4f{%dSJ;KP(8o5}^@To)Norv}dWMcZ_|H2BuL7Ny`DiD(neTJ?hA*~4
z+c1#enOq31Ev;pIK|ZA`HbbuvrAAHRot#yyrm(u1dy3n_O!rB{*L*D*k$eYRo+f|G
zI}l+ZLnJAaf?K&O3A@iH*iCQL?!Q5E-K}{0t{?fGPzXEqmBckQ)kaR&wU-moBINob
z1aJqpGBOs}C=OBGW)hTUP&N5plkU+*Llie?R}t)mdebk};p}{Frmo{>*p$Mc)ooNu
z^M1)cUTJizezgQwzTqZNmA{Pp>FqWL4@TQR>L}Wt8%1hd_FI4>>jIoD&|Jm>9Q>r2
z5{BT`6N%#-fr7~LSqJ|jqfs}7`7)dt3S@RsRRa`ShO-+QcA|;qO(l*}IlUB$GIDyB
za@Q{wlS%x>i`FEFJQLzXmt`$d*wlwe=*jcU9M0IB!TTT3qS>U!R(bGV2r40^ogj;#
zg3ujOfLMa}SHQ?(NAMoMvyeguf6<Tv{gn|?;2!kA;e>7*{C$79gcBIFLxdCF*Uz%y
z_^8&(p^ssgIk@q?S@l9VYPaLh)=>S-UIQCYufty~q%hpUkW|LaC>LHTu?H^7l{a#N
zQWf`$z#^(t&1P+3U}FIN-Lls5HZ24*n9&IFo<}42qmH>pBo2y4BNF_PU%_UKXv78i
zc!%k>BqC9yni`dul-&t!sl3q#{W0gDGvW^)fl7Jf51(;&V2?lW4lMBp{GzhA5`UO>
z%u0p_!@z)~x3i9psi%ydvnQ5nE;ynU&c1W|k&jba7{J(r7!0e~YD)+N^v+M&npGST
zQ5L;(8}sYl`Ox>mWvp2kx?P>bKU{1Q4-H>#Hu!!%dWmp?jbsU9kas|9|Hk12E~2{+
z-}uw3=zl!nwycBYLJhI})Vnyl^^GfRy^~sGYK~0?7p&hTTa)v)gS?z3FT;Ow<tSD}
zgh9vi*?jPT=OvFYTv`OtBEoP9R@%WWhyD?Uy;8lGW^SdHXbH_vYKYSK0zP4Uf#+ix
zuNZ*>#Uc<UrEJ#7<=>opOscPYCe*Tq1a5#286g4uq_U~GWmpdhY&Hiktex}+IU%Tx
z>>1q{+EY<;=>G8_!J8@A*+o^YUnodWfrg!kqd@|RwN#KGg|v(yfu-E$6sJf;#p!P#
zN6a=7oss3XU)u+5irbFUAg9}YagJ8G+b(8*A-7$KW;rV@Zu?Py!R5B&cjmUA!e7*F
zr@xlQZ9m9v9jp%OdRmrvX*c04?sX09`uc&dYv_A0D{G&wOiPl|eXm&jBOsJ2fArbz
zK5FO>WZn4Bmt{iV!T_@jjntb>)<&#@<$a}lOLB+B3~q=?U4-_y#0QT@rM)kDAdQqb
zR5X9hsHIb2fV5n(LvIjhs+&g4d)-pQ$#sy%-@Aun_kP_#0C;Ik+IF~%oZ({TJg7`<
zQi)kVxxErLl58a*yhsc|CG&@T8L@^;m((P`2k(~FCCMjK&_2d930B-3r>V|QaelSB
zB$*4+P>1tHbfN)JoE9o7i|E`p$?XB&Wx8`O{-U~*{#qK{i3vmxHRmEPSob1Wr#Ih?
zd{{)cxHriOfQN{CYbQwCgn!b9p+_gQFChJs7rHdR(J6x5`t({^cLm)fmmtp2smb~k
zyEc8J#73qzWliV=IAl~CTAi{^aw`A?TNUG`m!K+ugy7^22)3aBu7Gz-s{ry(2%!X4
z&XsoxV^T$M6=$4*6@h2~6oG}BxfQ{C01l=I-iyDeBA~yPMiIO@sxQF(3o}dRMcuxb
zEzeSDhfo3M_e*{94h;D}n!E<#&!2R`bBgni@Va%u<CgrtF6+i$S}~p!M_EC!|4E68
zLSp|9jcPjf^O*j@^E93nd7Z;PTqIpk>?7ED#ePC<@(Bdn5c~fH-Yu=z&p8Q%%wKsd
zNd^9gILizy@I?b4@GW%AE%5&i;9vs(JNSzVeEMr?1b#INI=)vehhA+duaSP^;)?wQ
z<{^ZC-+R;*)X>PfdI9Nr^CKt%?VYX;#(&Bci*T!hHL~ssy2V{XpQ#k&Mhd$xuw5b~
zTPe^cbQ+vxR2yC?&`xsu0tj|qrI65^oQ_}{O5sOKt`rJQ4xt*JS~=E=Dq&c*dKG7%
zffa;k02G9Urnwcw%>V~e5U;~uR6)>RP6d%f5=|FW30^(5UPvkOJpR<VjzUPTg}cDx
zQF@DpZTlyFX3*U&p`*V{=z<NxG)_R930@VSKJSJ8ZnkxHH&5Wg(so~f%?j|_;Y5ZP
z3V6YVa8KmUgLDJNx?nn3!x9<6F4zsb+I1*OJQlXPoeG?mv<n$|B%Z2tJ8%(QROavZ
z#T&$%1}s+Z?TaTuKZ@$j!(lHzt=g(|qk1ERg^;ag<TtCmc<l9FqYK+pPxknZ)=m53
z$-{or?|4zG1NA3C9r|#U(Lx&@*0XNP(Do5{T*n`~od!H@j9QiQyjMAbU!l8E-1>T=
z7jLP-Mb6Du<SQR<8i_ZCekE#l7s|)s3cZCMyqSVzMZI0Fv=$biY6wkEvp0Ujr*F!5
zC0dyh6hMX^d4+}-hV;b-w%oql@Q?b9-c76Hb%EE2#N%junt!|wxPptBx?%EmwCc}y
z4?}xX$GlDxa0Mm6(pZ2ulXyCUkAvzx5Kq;c?QT?td;eNhDAkK6yHRcTf7~6`;rE&P
z$Fkq)v^wPga{dj!19(PID`1{)YIP&Ml~LMCFWzB%F`6I`0++^9tlb0#QTt5&gHbu&
zjAIA^Q6Mea4H#1|-q`S(hr8ZkA242p=hc3*7jNzOuvE5MuKI1@59kK>F7J!SDy?P>
zh6xy{SK-JIzg9mE_DnqGb)!}}c@?j&15<6Rb{E>P0+%x$AeO$U1J8Auu$dQ{*+ky}
zcAFuRKY7&-{cg2YKE8k~wb?)3ZiRkXtx3705|xkE!#ZQpO=90L41_~DE+#~<E8YNu
z31JF&QN7iKMmO?e<yyS~gFD!Zx8pD91l9~=8K5xTg$yKL-|>#gM_|#@a8?25G!FwK
zHZT&~d+n-k{PSo$)%M$EKnuSX61v%dZ%{&%aeBn1Ad1@I+@3whjvbqApMdS!&DmDx
z@SduFbPtpa_w?e^u?7VNYLp{?0SFZVVJ6`H?(_Fv0+^lZ)G9_d_$KM*OwmmQn^?lx
zx*yeOH$k+}fG#E@Zysh5n9{wQCgL5ylM7`zJtg?%u#Ft@V7xgz(Tu#~<)D5zXu$vI
zUN&0D`WwOpuM?Hu(uH{)0;0CkXZBcbv??A)?T$(Sn|>-lcsAbv%M^uB`$)G9T}**c
zis}*IpUHs-fqPn&db0*RAOyn}6cu52UN5)VUzmrj;$d_G`U-sTeIJZZufT0XN6P+!
zS8tTPYPI82$?!nD#%~_&L7FO_U?KwMB(N9Ux(IuKfSH){Oqt;{=m^*)0!az1Q1xqJ
z?>-P>+FQ)E($~;hO+LWR=~}%?-;d)<_M22tyBvZ)VLXYiqZ4gfnSR(82It(@o1x!9
z&%7#_jK{bqFGcbwq+21ZljL+>MZIh-HZWQb7h2Wc1E?bZ4Eln!*Qw=V;`G=d5HNgL
z_69lAgF%fv3ump7uj8MK*1(^=_~-6X_*2F|4~@Z}58$8g<DVblpZyc?=Pvy76)*_M
z)A;8eRPk@eKhNNwzra6u6)nB6m!6_d52mN5mC%!E=<ZCqhm|g@r0ZpAK9lA=2?n+a
z2EPf$Ita!?2pYHqjo@y)QJqSZ4>nfnplpzlfH&A1l$fF%V>tB<D+e+OrryGQt08A6
zExOHkDN9dkEl!GFX{9Y%`=I<f5o+7h&9?ZLRq;BI=ap6$rFAb}5B5z1rU;Aybo%(!
z{QXIo6hGIy9VAlQ>wt`d`4ECCVI4}buDxC_U(?CAzTTu;<v>~-Mj^beikgQDX~qe&
F{~xsPbSD4+

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.categorical_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.categorical_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4e30ef0e0acfe59fc730016da18ab7da406626ca
GIT binary patch
literal 61390
zcmd^o36LaLb>Q^$HQh7QGb5ofQcsU^gk{x8eMmCMQiFtGWONLS21z4i4?`)tDyuX9
zRArVjvu37+ghkk_B}hwv${QPD!vgXGa@gJo9CnCH5XLsaArNS7853)V<;4nO%`RTN
zcHm>Z@BJ(P&#SVkt2xROG1Zwr|MC8N@4xF`4^95+=l=IL`Y+lOv~9;dw`|tyu2;8$
zZnUHB)jBQ94ZDwb55K+pV7C&@_~zNb>-aUR8*PIeHQQ;{ear2h>PB;zJ#?DEGA}<J
zShdjcTv^<nw5ROpQ{9R^6HSIr*tC>S(M3nh&|3F=r)D;dBVM!9a*gA@*Ki;kmV!bP
zcUk8Un!>#A=u%jrvGb#;wh7RMU3*_NQ<dGZ$D=9Ui(}D5({ZitvCf(q&6;88J8PW~
zdXK#wcj^K5Y`WGog8&lYdD1mo>}f~6(~e)(%-U(+YG9sDG##4j_^E5}vFGhw_5pj`
zUWo2nIT2WXuyQ(ZEpu(9c2%|QdjxP4tlWNQ)wkMSuyT_bn!MBg3IH6eFhE!8@By+T
zHvDDr5G>bXoK<TSXILrbTJ{6z_rasvJ8Sl~Xwq@();R^;j1u<6&`<jiAopeP|5EsW
z8T>zteFn7o4((|rnrNGj-;J(odG$`ydZp1fFx}`{R(7fXqW09WuxobgE9@l&nIG#H
znGMSfJHAz2^G&yAYxrD|_*^N#XM1B62?AJg*A1^R01|*2V?d3WXa?BQT=&hktxzOd
zIpVpY>9~PG`ORo}zM;TlF!~w-*kv{<_V-^d9wA2nqpxA?dCWeDgCLh9kN~d+F8*;v
zyx<)mz%r9&LLB9GSsw&b0T3Q!QFKfZR9sF~7{wg7f37&(jgIs^D3((obTfwuBPxvl
z36SVDh1rB4-UebDzElGT1Qw1DB~Ns7s+9^#wN(QKf$@NG%yX?p!)v3A4^|B&^X)9n
zxSr-YOc}KTQ0$>?nXc=FW<oPWQw)WIsl{u|t5ZP1W;tGsX3n*mt3lgDJ+-6lTOfDO
zSY2dc0<|=_K>ouYKN*rmcpSHY++7U0puSP_2$gM5MpyUGUV;jP6xAvA3;7hQL_2})
zmVi7I;%GN^fN}wSw^V&(-*3Ma$@gGPKKlVGv7qNOwCBlg?^76(4O7vpj4wLS?<oR$
z2LjC?-hmD01N&GOu;)==Q3159(DIuOsA+{*FURWo9bs~SvB4}WS1aC|tXLMJct;6P
zrCm{gnV<>O_}U+_7adXmH6KyYnA<f~5+eD28!+-D<<^%_G+?9cj#~>mDS0rqD#!&-
zdaIu;YPFqi^=aPf{%FidRQ04<mHj(HF+{Vmh?98Q)wbL^=z!`uF!U7Ea#L!5G!BIl
z^?yUHKVP|mVQn?)UJJB;H`?Cb0Q(CP!i_e_uSq&2x-?5@`s-HMWi5djv9Zd`s%~^u
z--8?_<Hjnh{1_7Fc|g;1K%5LTJ*RfV{)|M^*aMPC4<vg2J+(-p=U+-O29hYRZ2;-d
zM2iyF6R3UkCduU3wrvHis^+bNZ~H|B+2h_C(NWDBQgLm6CkJzuZb^J1)l1I)iF^uN
zLd<;x(D4NH`=g@Y(Ivh0EN9f1iKlrPK_mID4JUHA7;Tx|AeTZR08n9t-0@0&rnrGj
zZV(NmnUQ``$*c_9^AwrSjS$xPGy`R2)$#I%Vz3pmsl!)gC;QvlsLg7!Cu5OYDW(%6
zsE{Z*I0JHRi}p#m>$NT43_V|wWYO65f>+>4$40Xd8_}4TlDmXpk@+5!1gK`BDaWO5
zxT<^T02jI^W3<1$7$DGU4YSh>t7pt+$I^j|&JQ~6w&#b{pk?~ueH{;7{zpIvl3!3^
zE<I3tXZ#?HXl{3M!$m1`%0&Mg0uG=LyP$i(zyLV}k%6ve1VvMukoNYs?Wt%-qtk3M
zrT#dI{JOn>&>S5D=u8|_lt-8)Sp#oW4gLsssbb$KrBds)Cd5Tn4W>p`@6Ay{Ymh4u
zp74WZEXxeD<2<l&@0*R2qAF!1vrP9wWP%2d_D9pa*_cJ+Bw)DTPH;x7KB8Mh^_zv1
zjgy&Zy6J!wXEv2lM4rO-F=Dkpdi5sTiF*i|Z=QTA(KB5tK%j=2Cd`5W?Y_jcyT(Mw
z<ey+n{`>H!$mNfws8v!M%(_riEcraNq-a@T((Hu#t#j?BQ**-ZBQ(QV(|6%fF>T0)
zv2bjw*pF*Mb<-GTrq4n&D&8OtW;z65EQ3wD%{Un|Q8W%CtXn)pE)qi|Jpw7ylTQLY
zgajbpf)~!~z1%ADBIc#B(5zrnh5RuRnp(fTdH1g&Zz<j-&ta`9GyWYWr0wfmW+dN$
z0+b8MpTm>=IQb^lkkMVvO60#|HY!zPLX4eK$N(=HL{KzBA{>hqL-0+l_&2c)Cb46A
zysFSF5ic}?&Kea57`sf1UKvf?Ocl~%AbYn1bn|2m|Kw6U=^bKtaim6JCXHTuheab&
zZWtJ*Ad=&TMrd0!d>B}van^Qfw&BnmafqMimb4m1RWZ#jW;9#qmuBPumN<BH90;D-
z<E2|&Cv?oFbH63}ixvS!vcU!oVV1!#-MZm~fz@ot&h=R;?#B}A#}$M2V^Z(OOf=hY
ztY*EM2-R>`6sEH1XT<<uUvQR-mrTZ0W{->TPay1VHA!}b>inPWryt}9>->%QhuL=M
zrb$TFy!u88QpKQKKv0d!ophGtu(7mc9K!@Y-N6ko2pV&%rwS1d&s|q)<Y6LVx6_{M
z{dr62{zNE}gSJ(38cwbIa7qrNDf4F5-+SN>)py&CN-Sq7{_vA3gJNrtQ*c|fS9Hf}
zwQVzS0<}X^3>kt@;#Kd|nM5PHVU`edBxFF}M}f}Is%kB!7c+De4HD^&COHQclP3IR
z;tT^lL?UeLa4&rAk0y;59(p_xI-@mcc-<fE(wIeJD3Q)vSIhR&eDmZ)4_qNH+zEN0
za^(HaT49ys2A1`eC2GBnWfhXmUf`1|%fbfYY*cD0)jk>Bg%mR?IgUXsmi7scDINMZ
z<a{+uBHc2C3YQr(sS~bJqRW2YtM|KNTOuLaub3aqY2!6gzwO;J-vn!ixk&6qG7BBE
zUqGDa+6@)^*X{RdPK}70LByT>kt`d1VH75KI11@3&uNLm*~>VmY+NQJ({7k=Q&M$|
z{+Yx|mhG(yD1l3uDN}Gsp2rFhh<IR;&q5jtU62oeIZ8eVKN?-ge}R-iV$%?<c$|C$
z3+M3^n#2&k7%du8-|Y`LsXA-qNx*<0c@Hsz0`Q}d9jGQM0EZ!iYAn=5-K-fYK$3wb
zJ{Lj$8DNQ~As9tREcq9FrL$hj`?Tw^)g>4}v#WI6a!YWtvhvOAj_XvNR=eXn;l^-;
zCbv2_KxV#i7&21>QJ;qIOL$(K7M_W!sT7Sxz>MgLAtZp3qL2Oy$BX1?-srzTmWsYU
z5|T85PbyMlt+YGwnW?8ls*cx+#88%0E!I;pcFAQ}O+vu$YBW7F<jX7sf#+5YEm?==
znnGxLQ#po1k@0(>(yf;9Jy~A}`_W`WD)rCf#LJZWYRvtDJ1khJ;~F=EXf$r+qEULy
zIbS8CkUOxQd2+louORL*GBd)se}lxm;tF>(1hZJoS#!e(Jy@03taX}Tsn0f@(^k{5
zJ+F>FvgsO*Tl0J$rf%3GKJ;Aa(gyn3aILeDBM4y$B0ANxrU9!FLDw2*Oy4orVAZA=
z=|7~_V?Hq%pH%zh6Y>@;!J<K#czyV0uv5SCM8&!Os#hAf9bPq#SDeGf<woTyV~IW=
zUWD+M<y(e>NXMv{Fm)MDtzdcfO_l*GdyUXH&%lyeT#*^tzSmi|MP3n95~RW`XPwYy
z_0g5G0@Xh{0L9q%81`F(Vt*Qjc#M6r3U-@rN0L{kk}BjTB`um}az;j|<hz8Dx@vFl
z2SgE`dK(s6;QHn$c<baYrD<;I#$oM4IQ?tDa#(#xg8j2*t~n6A*$}iWkyC;nmB<We
zd~ZJ;1W7qh9)l7^a}#K)^H>EULUpN<>##8^k5#<2M6EnlAt*0=_E?=~)z7^Kp@1Y^
zG+$5g8el;sjoWVMP6OEn0FqDP&lvuE8h^ISr*U{1zJqY8<3e2dG_0qmY%p{W;f`T=
z2s(_La1qoswmiO)tb1@D;ZK1;`7xI~>+$QdRP@|P_y|daCY*%1<ag#JB$K6(p)&GY
z5=s5L2{D4n|G;WC?<Rb&5SreEj^T*q3V8-9-D)?XH~R}eVMJMxItpLq<SXqcoPf1e
zQbI}tQ#cBVuaa@eo(bT#d9oY-<c4BZZV`^cC?kKCV*}=zV)NuPC)^mpM$NWrrvtis
z=MvjH3uZnnqcXfT+=D<}fxxIcjfUkL4IeCjv}{b+5CInNC9`+HdKg#^UxO9k$1UIA
zSTx?SOy@?Ansv)xG;Urt?nX}mH%}O5V4Tpj-}3BTmI+((z|_4HH&_IrQwtW2yS?VJ
zarMtE!e$KkYgDej^2%3$joof98?U%_>6$AgOMEV`A1^%g>;3iQg@@kv!|F@Szy}!v
zALy5X$vl=|9!w^^Z#*GAm__$6xH9DWtKebPs2p*~;gyPe`Q=wHxrb-r4KiM3I1R%&
zbUj%#uB4CG6Jf1xzM{Cdi>$Yo587Mw7~<Y;rN?kXKOhQ^;gwiufvcWAJcf=c{BXrV
zuE&s{QzAL`81gd%8gK8XgVbYqJ(MWvF(4vJdJNZ=sFiyRg7STN3_=r0x(wtoYygzZ
zW4IrmsK-E`w#H+)6NPW(@Nhf@*urCb^<mAvB4nHJ4&IxdK%jl4x<zaYUhRK}VtV3P
z+4aX(*_+Lib*C1d0&$0~IxHNy0hAo9UuG+I;~4t{>mxIo*^3-q)Kq>Pcp%^0D2}K<
zCd-b<tRO=cwfH|I!Z(rsgQq7aW4s&Xj^V?=+xQ*X&)r%ZLS-gWb>{g^$pBe?mYuz6
z;=@n~%(+rKS)M9xAbTeZZy;k=27XbQ-Hv-doISxf&eB_7hElhV`L85;Qf^UG!Csl6
zz*xMD9Q_qs3iU<G011eTcqMjwli@V6b^`Wqkq^;ol`UKc<rc0?p_v*0a=R8^Oef!U
z)c;*E>a#oY9R^$}rvJC%2C|u+H;}>f_$7zw=XAtyjHDTOhsc*$x^}^&UUh<|{qNX{
z8!E?2`v3r4mcVLzrtHR)W%yLnRf>VlMk{Y1jS|qMpl)@}xTd&;{?Wl2859+4{|;_1
zRhGh2RNPt&Xb~zBW3iCibC?kVDW{cnHbtA@%tAoPS*Rwt=~L{2D;^L4!$T?zY}ct+
zMVqnvEhvU0N<z|m%NqkQflq};(z300UfA_UVyldN5QjcBXT)&@KAp?f*4r{Bqg^k@
z=G{V6s1Yi4L2ZHV>4(kV4UHFhZX9dmQ3Ns@88I5kI{`sk9YxJpP)F@d9y{ekqM^o!
zi|U@C#>Lmc3NSjgidC@?77Kx;e3C$hoBAsxMH~49L*-MY$u0tuqp=*6I|Y<LzsGR^
z1WHfwR(j9zs=E%juu+pF&Z(4srXPfhxXl-_(1Ktp7%Igxy|-vaKLpg`<<M-xi|$E)
zFb*DZg-bCSX~v`T{LFSBr<7^sDB(Ns4kuFeKEF`9&+2;n--S|quNd&2*rV_lkeahc
z0Y7OrQ9|;Oj@plmooBo+8DI4N{9~e_d<zKy=lc}?o&uhqRTZm!?Nj(ZRGg1DYMe`?
zrS>VLaF(-AAtT?*$}o^bTvRGM2=`=5v0zX72}~l*lW+FGEE0jQ6u^O0GVb?znzi@n
zmn%9r_sDnIbvo{^p3<2!pAisTz5!_k3zZ-Dhj5usYOwQ(5}Xi`%TP+>l;B4tG6UU?
z^wU8aue}jU6lr~hZit8>(`_eT0jTbx(9$FVDE-WSx+m!O7A#bretjElXG#O5N*A&V
ziqUOhiEZNy75Z@-45l9P#fJ)eP?A#I>zz-GR77206fcw$gh%Lws_!d8FAO+I$#jIC
zp>&Exva?q7Aj(;M{z-hI@p<~RHSzfqco3!^4n0DD+b~x0FxWN`qrWL7<Cb}UeXHf2
zv8r_^z;&SYYNKhcuNrHf*My+@>&#|Q5LKTNaIsK>c-6(g9{}}K8$%c4#gX-=W!dOU
zBeBXyAS@AEzoa)6SUe{Vg_kW-QG&ZK$!bOfin2fIwETvoM<0RiKY>Dea4P@ErWcDF
z$d1VH1~S4d_(kPC1s4;@;;iopqZcAY?4#cIe@)b-^YI|=K82uMRO|Z`hlwV$gHFZR
z07s~7(CMOS9eH}|g+ZsDFla%iNh)RpAM!UH`HRJ{3=no=Am*z;HSF}YEbM25s4(ml
zi!Aaiatw}i@)%gga)POEo8@R>=Lg|D8ni9Pc{fAjMTSZu(3I8v7|G=0fRe2aG`%!W
z*U^JmVecj<42@)b5@|$_Gs)QWsBV9m<Hj$O;4+w$OqOg*?nA206R$M!m~*x;YMPFs
zxyi8rdLUlEcFA2fY_y<<jkJ9S7OBCCv^6-{!Gv8b%r2B@E|WDz{X-1(Z|fKJ<UuUK
zR$#>tXN0(V`?zX2t7nAkz5M_xJf+95kmO|;qs0*}CrkGm71TkN>C*5PntmADs^bB%
zEjXSYmyHR-aF)*^8iDO~nssB%GOTm8W~Xk!2`Vm)!Ky=}qKCk;jSG&L?2nS1)S3K9
zX%wlB7lBggfY=j|niCMiPnyAyunqKp*fhtUP+js}hy7EDN_9o5%5U`FdGPDw6v+In
zs(ad3@at))I3Gte_$3jP3Vx;VlN0>P$anLw*h?Ze8d{Ygr;`xJN-Hmj_JJN0Qi3r!
zR!h3(QHff)Yc51oU#_`Ocv5s^xaMC27~s%Hy2vccHOKGFH6Pz0Tyy%gHLiILb|iyi
z3aggEO|1>hMQ5jy$)$8d*>a;px(SE<mb4M0*G&&{fmL;YkVQD%%56B{w&NS$x-FK(
zQQ1_n<L&#qXunyv<qm#5QI0SwdJh1NRhgJClZ4HTM|iwcmKu=_Iy(B{iW3+(cD%xH
zF8Q6sM3TumYOjz;%JQd+V<Rzw$>ms0BBbzB7<cN;ADlhnxWa5)j(>|6hfUx&q3qa;
z-k;YL_9tf{-1ShXY<%GM;s&zg1H6HZ_yB%USzC<{P#=j}C<z+?;{)`g-ghfeSN<?j
zRripV1DF(ti6*n-0}LDa>P-w{TuXKxtyWn}c2T~hNpZ^*%PaUryy{qcxEO2MUHByi
zR;g8F|FO7%Y>wd#WN-|A$>ErtiuC2kD91U!m8dg8MkUa&1)TFyhRcku;uo!}3chpC
z-zT3-luC3a8{fr1fN;n_WX9s8KPhgz1R}{xU;z`wvbgdfeGY&6U|{szaYZNVMq+3c
zvTz348Sj;j(*2*pJ{Lymin$ydN-av)b7|PbjLt7Q<;egsItE|@p9&SzqN;aZjL~JO
z&bTBwA5gm0L8|nm^K!y~K&HZj#ztdXW1@2qWWnR2FW}4zyp}$4OpU&+z{#a>a;rQy
zjO}400c=M^sSDc@O@9O85D>l44s-3hoYYQa3E6p`Tv5o?3FjTAY)6}56^;!c*w!!n
zy0IVBi?G=BSZINp#CaR`W}=;Ia3g^gW*@GLN9fMrvAb0`WWS{x$_oAvn)PuA^R;LZ
z!=5hS!IKcVge|a(#%tV-Q#78Ya3(zhMshDZcbHxf!Ivc_!eu=T?P_V%sG*)qp;S5?
zb`nx^!eRJHGXWBMSPzFO6C2qka+s)2*AR)ZBm!agQSkD!sy0zyfv_`BaXxmaLT9Ma
zdkG8bdE7F!wEkBH=^sabA!er-Z;6J*s}xq$Pk;X)t^Zmd*d>oZ=8~&m$Oj<r0NCBW
zC}R@%sQ2*q2kBuM{Eowz709K}db^(=q}@M+LPZm2D&O{n*)I%)SuzbvIR)b;H$wd7
zARXk01rs)Tlrw(O#70h(I3wRrl@ywiKvCHepv#l(#Wr7FjQ5@%M8p{H-PqfCawpA7
z-UNTdRBuXMypg%YM&+hBP)Ah-PsgiQ(Ne;r6l&}$V!mY5H|Xtpu(%x$Z-|k^98G<)
zMR?kr+TvBBj7p1LvpS9P1#JE(7AuT*KwUW+1V3r4P$=gn5HDgNvKJldLy7A0p+?H^
zsg#2hy!@;KkHnWj#rfEw8ib)n*C68%q7|K_&w3xP8>Ek%1jX2;E;Hu}=FaIY-!@3g
zHxCWFDd(HKzAS=qcUMvhrC2XV3T5QGZt(FaF&b^65)dazsCvt)$sUAA$*RIC$s3ti
zJ4VG?{@}q{`BHH-y-Ut=t<tQ$r_troaL%>zU80!^vv>E!xO}PjuVA5Go<eNuzw9`_
zEsUM#s2KBYuT4+otjpyJrSi%yM5VF=PkgYSZqnt$?=Qg<oO+0kAyZFV9L_1IrAZV}
zDt@M)?g@YIQ&^}x6*G3KP{0y`6XZ!oP95C;RvO$v6-*WkJ@n19l!}GJl`_UNz4M7-
zjTr8WF^c61pS%{4guW)PMZ8E7JY({jIw=K{*Z7@HUQh3YC%UejK5fn9_1$96&rojO
zfXeXdB0NO?D25({b+{}Zg5_Ggb*<-39->(8M0ND#kyv)kvBM{A@73*d^(K)E)6?#<
zEJS|Pd35E_doJ3P6kSpr0!CAf;QZk!BHB2Ez937DBo*SR^Jx{uAbI7xj>Rh_KKh?5
zk8w#>uo^m99<PbeB3Dyv);tk=xS_ChHFlLv!?@j8Jd&S)O1FBZp@5~qcB4}aqc+It
z+`>hiU_Iv+4vB4TuoaMVBA%K~4*;h=xHRiZ<diH+ejeM03$IG^4N?OyTf7iUu=$Y_
zvJXnk*?ApA33MsnabXdV1K0OC%_al~f_4)RjEDY&UfVb=GsA^<EiVXX8@_d42kzKy
zZWvyz)`4^5=^9SFqM2Pa4`*J(xsS5nKfo4a{MihDjY08;*8;})iw9jss7G92BUlEA
zAf<#}u)-qDg-2082oN&^<8Amv4Gj8}V_<NC<8q=w@AmpR!45#-VcQwUhGA#K@a3Bt
zUmXckL+vTmG6mMgfg`c4#?RGOiw|ya{HM}`Mpaf_St=S)TEsTTYy#0>cBn~G3{l7Q
zBN8$FTOKh|$%nC;gylh}8FA`Ro>H`P)xfDomZrn;dxdc1*&taE#8Qns3YBiP4N}bL
z!VDQfrlXd~dpOxLEfGbrpT`Z6m^Gya&iW*IgM1Aem?vK?%^t$kcsG_{rpA{gkon#T
z6cega^a)g@Wb2rzP{)>0m45?`GFAB^K2cRkpYl{C19&s4(iGT*8(P3W2Fq#qD)a7P
zs>~S9eAW5<NU2V>$GueOPaertp=vdQtJ1MuFhok7L$9jRf90bImIIAAZDN&rUV3DS
zS+1;4QhZSrySEU{#Vg@sWRpEuO+v-a;cO|YQ*e>oQ0m#e%*|Im=nx$&geXthX2BB6
zMe>ip7hA1t%MA&kbVryysq+0NJ`#H=-;0IvWhwyz0C=Z?aGf`#ChnO}auHcY4w@&|
zmS!ZOmcNfMGqwB*Ubtu_iK3Q8Z$T}~p%AlQS+#sSG|JTSaeSg`nLg#IWd`tO)bh!W
z>p)DR>f;>~L-%2i4?`iV5az4muZ@H%*8AE^2_H-=VZDOE)h{VMcvSV<kfoxLrAMrI
zccqXG-mIP|g%VY^8xlSJ`?E1>$vLbhp=>AVJ+VUXPxE_Y6S4GPE^I$fwPv*(%QkW^
zRJzrwwHKocr8<&KN7ZSKldhLKy-FOHLFGAUQ^uo0pW-!{xK`h6wVPHoaPE(9ARVBj
z<Zki=f(HvFN;8;HxocR0soeL=E|&6y1x7&S$^j9xWm%Q`6g0|I?#J<os$BY%r*av<
z!%(@@3I35*xfH^GCn}fsb#Rr-D;QkmKF9fAtjx$C1**#Zsw_2HDp#dPTII&bR#Yxa
zltPKB+!rKz`d7IzYRO+=H3^kF4qmNLxRa~s<0jPYcMIFjQ@2^I#&V5(0V@6BsauBP
zkyN*W;i$U(GAG@SsJh*?o2uJc{8K7MCe-bhC?C@<PV>SgJzRkiP`7e0#B5ns-5!EQ
znYz6MpQyT}PkHK=0lXP?`z9x-w#*P>3d5eEef==JTLE3Zntf&@JlnXRy;ST)X|Fae
zJh*y&Rq4T^s@H2}sc0nW5UbW58j?Y+#tFJgJt|Ssze<hKNp8bx5-L?W9CUvK>%r(r
zoqFp(SJ--<Qq5{NmR{s)sC289Y7tutg*tL9Mm5bVILUe`(@VvIFuy~Oz~eiy;GjZf
zhC>E~OXil`Lplh?JPArOkWiX0#}dp(ZOg9YTjx+r%+`vYgVL1j9<yCprTI>1lqt=3
z;S*Jw^eIniGJrRuH17f2SMiYb;V4bHX#>_z4@GMV@N%^#6HRu(BA|@%7}rYGj3OJg
zFDM&jg5)piZu|!4k8B^VcslI^vh0Yc8i}Knm{&K%P4g4e63)}_N^E3lnLIfk<B)s|
zD?t4c4><B`koH56^AZuGCFf<gxNv+QCt0?fzxY8|#(xN=fnkk`N<KwgiV8qnW>8NN
zmorkJWF3?ErvL|&m(Sx9m6!A>M_zJSG3X-DyIixi1#<G1VR#n^+9qUV#@%78#)N#F
zkf|UW*^4e0zsp%;5V`obvh0Xl^UIKxFnwoXp#(odk_MG3fXVHv$&(oVP2z$xZF>LQ
zI8>C7rPFgD3QNTa)E#pLN955q%AI455Ys*CV?Fy)>YTHK#eK;>=d2hA056TktbN*7
z7PqaOkd=qW)K=@LpL5PwH)4I36s4-;8jl+C|Bz`Cn(#$P+iFdiCq0A~9F6<=_-Lk{
z&bRsS99RR23P1y9P_48Ed<!rt(|}ccq8gAsZH)#zsmv!1-(k3Y7>ZDVa1;7)Asw31
zDo&`yoym_N)3r2RNuDbdFU8J7D9c9AjzqjrLtR2w%9)pJCHcz|7x_vuJzMiwqEx<v
zpC{aH{XQ}ZWjQ5@5UY+#kzkK0P5uLdoDl3Dq;0ie?=cL7d>=(dq+<R)&ME_oc~Jp~
z`3xGC7W1D5IGC7!8lR|`r%ziW=I?>S%S{x<!<X?x2?`1DHX-0Mf<kev3F*E=`+`9s
znV`${=Q+C!;`}@(%Z^A;Na83J6vE}=1+LHENKE8P^{nH;|5u{ero}pIq?}wwn9Iub
zn9}512y;TNe+AOETCNvyzYyx9F-4(pA(iOQaxNKIqKgVZqGwRAv_wC!M@aMqe4-Ma
zK5dOeKM^{uVQpQOAvuWg-#QGFox-*WS^g7gW1Ux-5ag3_GDva$ri<`vfExJ`lw#BT
zYFRe=;z*e099;>cJU+`K+baKAiH5%9_Zt$$exULjVJ<7bV=|MQ5axvZUV^l(mfyJ?
zFNF7K@gJ4kE1W+DmfWHOklYz`D=oR-3UDx6`~iHTlAAtljpRNV+P($1GX-X23+5h%
z5^_->+=LX*@HMrH6S90~@*{>^)HGeL|0?I6K}_@a$g(36a#7Kgvd-yJ96WF<Te|;-
zL`J@J&sfd#TZv+um+rKYa@IM*Tvocr#3oN5%n9ipLE2VJ_Z}lb$oSESy6C(}CH<qE
zR|b~!q5_cg88j>{>Hi$yV3Piu_(UZ=ecBpHf1=X{Yuc(D9!}H+JRjSugN=UMFl=-N
z+a|>OJJLov?{B?P4J;ovEUm&3+-}{36Ba$+T4rg>chXOAhW8D|5c<Kx4)KDYDbX<y
zc%VVVtFAo$o-^bi%HzAT?1<buED%P$f)9z49;2TuLq@iXBEAc+e4&bRbKHz<iq*G2
zQc`rv?c7`B&gI;fHw}egs#uw&UKI_EttMvNFDz~#dzP9vka0H^eo@^|rPmkc4h{xf
zdS<(zgpQ?^M5~)t&IK)()7V!~5+vZrzUYe~v-ey%Ubi=%Rjo3cFXq+p4y$<JlI@5e
z<ahm^`6I&;NExdVhElgq<$H!r<)Oe>jvwwSM>z86Bv2}wb}@&L{|PdAtBtsq=IOgG
zx8FEdQH$q0TuEeFJnA)F7oDIsf^v4II8jqBmoCa88G^hGnPHwhP?{$YYP@{wOCu54
zl1hxCe}iKI(7*MUZoQ`;l#4^yAH_lof@MHE72idFoz##<C0A|Gdr@w}Sw7e(&d+6K
zT$H#hOVO_4AZA&ALLGj%bm!D#*3Uwz^tD+Zf>gSoY`alOG=rZsHJMO;`gI@$+KBh3
zAcq_>blLYO6AdRcl%h&tyol>jo}wMe&#Epn=<9;5PeaA|c%;{(NF=6i??~Y==k|__
ze0x(|Be4{vzk!%Z))C8MbjA{kgz545|G5Xw5WW0f1soei-aTf$0q<s-C-0(JhjuH*
zKR|UV8|IT3Vc@r7d=CqiAIcXpQB_ahXDMvbf*dhf3Nis+ruX&H5lWv4DA8*}DW?y1
zc*yk8?zrG%SWA-~r=#}Le!3^<bO{zJPp6FAEGS?J$pk)TMot~v)zaXql7l=8crJN)
zTow#H1j#kM2~HW~r+eoU0~aye7h@EP4Z`oe5XxLQ>&1mW3fB?C01yV4B)GPnghq@Q
zehcosK>V|CQ42c8!bS9{FkDmyJlkYa#(p3Xj%0wn3xr!VS!<d>khMz!KQp-QmvGUi
zBwY5cG|npatD=i)@ez<quotA$a+k!70+tZqTCT+1YF*R548;85Q`GjIwdd_|-l0X<
zQL?>Ajzm*|*YRtxw_y=vs67_V(c{$Ju*%bqMY}{w({Zitv1mtNg&|z<7IdS1b+6V5
zoo28Mx4O9@oW0(SrtUVI9V>`09o=&*npwA83r<G!d?-HyZk-i`aB>d3>}1WrHKy)q
zc%9|19lr^0yF;&5T{CN^@hdbp2}i#B8{O!<hUbN@7h1~4qhrzTz^a9Ar&T=%*U+`P
zkTM5L_?<SKlG<uP(EzHPXDL?GqA69p*R)DW3m`*_ya3XgChYR9w&%k&tJWE-**&^F
znzhZQe4UK;S?3(URcMBtKxCSXChOK(XC3OBJ8Swb;0kiUEK>_oW<uYrS=g!W!_l1M
zwmV_fa%&!5nb(bGI$>k!+NHpO=L7o3s^$BhU$r5G*R*`VGlB{WeWE>HC)8`1q_uRT
zg~XRc734|a*JzH_8^a(<AJ9J}3P*df4*?(w=Fi}`eqf<!chhv&JLb9t7_Y<ocFXNX
z=ld4K8|&4&)dv26W*`y?co3KR0Y;p9we4FC=NyDTqdBt^det~7+U@{T?XGuPZ3ts>
z#skFC1Xz4(`L5Z-3ir?yz^)r0`QxN^V0G$V^;`>CYOi&!?FCj<ElIhg7FN$Vfx}pI
zPZjPUFxTK@Cw7k-6r2_V!d{GaL1zLO0(dl(3*UD0Y}JO-gwCDnM*Hyz8i61y<^c+0
zZFL~|PTxE$Ux7vU;iv-6ao2$nn@-CKySHuotN%M0&9$v|70_b&fHTI6n6hR9^f){s
z!w$oCu)4Bx_Uzf^_69_w-DS^TU#VMXRv>4v(v2>_5)>3DQH863flwh3W(TA%U3%rq
z0kd;{qn2m}Q{rY0h-O01gMsc?VS_efhpi?wF%z0=FpBD--95S^S^%DGRps!M;8%k-
za>ygm-eAKG&2v@TS+|?;ANY5o=^^Xy3R)%%wEH?Rt^+{S`ShK=R+}CihRaa9P_s=K
zLO^&n-T=!Kg;4r*rwvWaflvya5b)3Bz$3stUd?eEzym@soQI+!=&b4a_FAnq3#Nj@
z4QR`@tPpCupa%C@o~~Lg(`i=Cdfm6EWOz6lx7;&bP-D>!CL&-=0(&`b-2sLVtD)(y
zTOe|P8TLU#z%C(3N??V$)d;!|f)LYEaq|OBhT0nPWeSHyou*G?B6}vkh<fHB_z9vJ
zOve4in2CNk7TAYihamk98s}AT74#GXCKkz)V76gEUT!6P6%E&@jzTo)1T7CZ7ESBF
zg|;9z@v$Gj*aX~|gdqq(1Z>*^Z}*hlAfH8r{YUt-cN~5$z@KOE=j-_M&I$N=41Yd8
z1wT*Y&-rl8J9#Po;DtBzVk3I&Ji(*s>6y3$&&{Pr_z^tjkDe|>@B|`yBm%)>6X>Q{
zf*WfIZW<!Ev54R*bAl_;39d^dxOS1?3KxQ_U<l5J5}YxmAvGE@?L@oP;YE34cg+C>
zgv<r}!ctI*ihPU-)fAQwSQCb0YYld&Ygu2CNR+u}v}`k?Ra*afTK%99{SY<q1<AVj
zmu=B3$as2G5Gu2sVD>a&*gzjZ&rcu0Gi)LKabW6qbngHu1((Ny+=DR^fO=sKN>Q&R
g@07`OK<;$hTC-CJ3G1!nSe&h+HsXSt@x=1~2Y<(8RsaA1

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.column_profile_compilers.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.column_profile_compilers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..0d207a39704f8dbd7c9cf63cf89bc64f8d9365a0
GIT binary patch
literal 178393
zcmd_T3!J1ybtt}%*_mB-Sy;f0FwF8T59yWNSs;M00wPOR1ck*Fg048*GyTnWfAn;Z
z-95{06yhUM!Os|D8;L@QZ$lzpqoP3*y)pT#F-UwQ=p|mgF-DCNqrZ6bFy7pAPCdS=
z`l{-yucwFncP_slv)x^<Q|DEu&N)@}@-=T>v0~*4{4YJOJ6~_K4o_BVwN|?pcl+tu
zT6<<;E^hVuZ|ZM*MgR7GC0*C4-qvj|bY|jyx&ms<)EmuOCvNp`>8Bg9dau#!PV)9+
z-FT+gXt!kZ`kMM^ee9NgrM@m*(`)pau~L*id3U?HFxQIqcG|OzW*qHq&&|WXoo*l7
zK$DT@$A=LXPt9NL6Pz&6iRtKk6(H;N>zmSbQ*tWx)#)go!FB0Kv(bwC*DXv}(_^Z=
zUZ*j=(1V%dOjkE*U7Xd}OtaeU!jJHIO{+S`KCP`S%x7Pwt24KD;#sV-kdF1L2eGJM
zKdwGr-%vlbzPdh<ws+pxg{kbkwcCoT(>rI*o0{*m6TnY*=k@!hI`MqFyYs4QugWLi
z*$Du5cQQbC)}R2YBUU<-;zM_GhVX?QVae2tz}IA_3$xyG?W%?8`igW-qg9I!D~M(^
zsGkP2tZxOxo&o=#1^=H7|8K(?1JXJTnr9^)nXfiF{q$*b?b<>!etJ|Alzw^<Yq_Ir
z!}{oTy?%9}eolRdg2o5RqH#8^_7*zv)O4rXnyG7;+$k}+(}~IXBfF3gfREO}s6AVH
z`ap%1K!tVbI$*}?!A^C)u23R<@}71lIvBU&PPK<4R3qesPH&R2{AN#ujMH}mexAwL
z?7I3EWM(IA5uMKfZaf;%D7XO7Imxt<P$$mm>a0B41r&qINuPCPwHpiV5>-gRqeiPN
zakur;OG|R~q&jln%HoWKAh#o+gJ%?G5vp?qC|W3)>NY^lAa5&m(mz)RsMKbsK<R)e
z?~1OUM@?L9?w_x=YE{%7op_QJPVS>Rw?vmk*R@;m_NYyD)kcnK3IUqpEhhK%Itw!h
zQ;m(+%{rZLx0?zWa|_L01KQ8TT_npS7EkVlKcdAp5`hXJ;y9Xawbg3(KuWabBpqeM
z6XGJiX2LNFY|{)Aj&$AOx#q6!d=(eBwey`A&~qs6qs%1G%PiOAA3wTOkil}O9{{Ht
z7*1iS$CXMf@AWn5xeii0HKag&`Gz`?e%Vc=O1d7HeFsp4piPfO;EC|`Jyut*`Y+XA
ziWIv&qgefAq!nS->uA>IlsBj{Bc`MOsDt`OAE;{)R0ii-9L^2m8*Ct+Kp^5`F&FpZ
zPO||^xk8>#9L*vvC7LNPIZ1Vb7Y;N**)y>Qs>Ugk%Ijpug2c)%I(<Ljrf<5k)vv1j
zhP?KEAms0oSe-=F!{O%_TA&DX`fBAaF*<zGNBxv<)cO3Vf6PbSoUV+Fu6|eTs{Vjj
zEz>gsRso614fAoU2C8}LFqpOqiMaW=IbADyGe-ZKI=b5yfxSdLTWil%8?Ao2YW@fq
zp72BO$UJD@H6-1As?w`=4#qvu$Z|L^rjG1lW@SIsOu7K$7*+d`U9A7>ka~{-9={CK
z`=mtE%Kef^`;EE%&@;Es=NJP?gk67CbS-grvU3?W2K<?4K-FkhkXipuhROQ(G#q+{
zRgqeMJOD|sTfl7@u-`2@%*pYvqx697#8a#rau4P3DFn^N@+5zor2Mt#(WY*96vj<g
zUM4}l%mDeRUXat3?VS826>P!;-vQ6MbhOc;9j2neN6^L+aIi0$9!Q?y2L&|TY!!^B
zsYBJ~Lac+8p4eTO$Nj@pcdpv$y=0+{yV*N|%ah9_v<8+HCK7AsdtqAd1bn_vux+}p
zJ$#dpa8OaS(-<E_AV+@J@$&*Ne(F}PNp6Hjx{Ny&adOZ<fR%m40C`TJ5>*<M8SfS<
zZNJ0n3NWxa8uKb9)0aB_Zud`5;RjVidz4BxP@xV<j^yaz)V0a4`vJAnfe(;J$0Y-!
z*iaR}?FXwo{uTk*AP9Hs?GO5A=0mulRJ=mykdcMyWE%h=b&f|{f6fbNav>C(YX?`?
z1#${7T&}`UsH`9JLvoD?Nuh@302=sIn98lB&n>&f&S~Hg>_Mns_C?nn|LmQvL-+m@
zGz!(dt5%ga9TGl(g|D#0p?fo1*zJlaty`b$2VWuM66n^GU~nDJZrys0A5gof^8xa@
z^<*as4c&Q(f7tT)@r+!o8}kTr>&EB!A@?E7kY&4W^z(2D-B|Mi>eY>fFqG4chy0KX
zpc@&020j(0F?3^b#kYf{%l&%XOQf{9rHY{uhy=lYzMme0ex3F-hHUzp$0;2hcq>}}
zUVSuOJG;<qlDDG%CftwK>JtddwJQO(Dk?9KY2mP&X}5Z6JWhDPEA=bnx_J=YS>U{7
zd)!?I?tm>ddRU)@VTQ)cffq&lcfmY%9dH;#PEVieCVTz?CMp%!|BdkhGg;4ms*fjc
zH`pNC4X00b!N}I2b?I2M0Zy=LQ`yBOzmNT~o#z;zQ#LYeu*Z}CW{jx&ARwki9u4Mm
z0B67s<_yq?id&`!u$%GZe)z{1Q%Oh3k1;cdD?-_|Cm)A#vW>fRfvkt#<HPgK#!REv
zzmqE5R_(Olqv8cg-inPg$4324+O~hA&I07peiXt$N4YB-MTFQ3BxG~CdPSsoYtq%g
z=Y2o>T{R3jAXZI20QeUYn0yVsa1Om}Q9@?$^<&sCg_CV@zDn{CG68wgMuDqA#&t!d
z@bsflGl-{?&tRV_n|>RA$UJqcahTM}q{+ijowzgk0(`2!DR~6jFA^=NCV_vGFJhOZ
zDKj=uy;10zvao=n<Bixib`0@Rwd3E$F_;$4bnMyBoQ9Zib*2}Q?ucd!!nncprMaDq
ztcG#NlU4YSljf!;8e_Z5L8z@rKkeDAMz2wAHhw9N)U_yLtFnxl7uL&=d?G{grm{#*
zj>i^Tu3ZfjQeYh@E?wWBUdN*Tm2FXFG5R8ckWsx|gShnW#dI^tpwYwAa+>uC9-%%U
z^qmMy$Kr?d87g^rca=^&*FF?a)f(OEbTh6^%{HqCcSX~%<AlKTo@%ojZ;N(Z9@QFP
zV4?P`)Nhp?uB!@pW0t|@RQW}clNSFAf@vwNMF{RD=gL;;pB%;UT}e6$^ZvTTADAfU
z78b}8Uv<pwmN>93FZFxs_i8qhz#qgh75pVvl4xL<`5kin(~F7EV9Q+2p-of|@=3N~
z#H8(oItpIkMS;V=aU(R+_uU@fvVQ>kHj)ou@o!*>x;iMn<q?!DHuwC7ofYbHzuo9d
zx0=<JMzse#eqlC<-%MpI`FL`KaA*u^-zodCQDUe3R_}zpJLN(cw4L%A(r$te`8OT;
zzwd`-fW0yU(QWDo>4jiVa)S-~mVGsBm+g`+_NSc~l7CuVWxEDxOhTb&8$THaWraE_
z9`>SQ5I!Ub!uarWVVFohgFxDmk)b>}2Wl}VLed8_GI=xn(Nt*iTkuQy5H|P?-juuz
zo1SP{X=!^0UW8?`lF=@22WJWp?|Wh1Vqp=cM`oFCd>*l&nMY~<ELkr3XGX~%^8ti;
zW2hoU82BDxIbrvQ61$M8ddzGiZq}xZ%p)$ckhe|6ii8Uq$d+d2%`tmLHWSa}-khpG
zNm4*Z<H@lj`ikbIL$V%gk0)#Kp9yYxT#Jjb1ZKKjJCXxd@s`CllOd|$;u%+4V3F>K
z&`^zf?Wl$cS#yvu9yK5ln47U8Su*O@+Y8NFG#y9r;hE+_Ev{ioshZA<xr`gRLu(4Q
zkL}h$1+vs`pKw2dy--KpQ-V=P`}OX8JkywM%=BN&Ht9bACg7WNVDaQkhS~`JA@|Cv
zsA9Myut+mLOgm#mdc2r!JU3sjb{pEtFvgKA7DoA9pVsBZFn*4>l!1K-f$grUnlQ{|
zVsT+mE|Q)>lUxBECl|mUE7mZXD3K^zxvdCeo6|MX-@g1!M*bG{pka1%x_cO0C=olH
z?)Y3)NVCPyJXXNe=6EtuKpEt{aj3(^dSTkzWiraDt`6vRC95iwozV3D{_la+20#((
zkJK`-ztJ03l6}xW1OsRfu6y3nQJ&|<>WqQIf_N+WRcu0OqRRKNR+}B!z{H*U6rq>9
z8N}XuP)Eb{JfUQfeg^0T(yMw$z|(NmqC5>89H*-x{q)hi8JDx8-MGhJa*}4n$!4Y#
zM4&wq8gpItixh2IMc;|69^^F?+W>Te+$UQtC%k7~kTDgr7`PJOb>#hlL_>K$NQT1X
zgV+sGKJ#NKo1x9==q~2$(ntT4cXW08V<%lUZl<4---1q;b|YeEVN_ta6Imu=Ok0tA
zIDxEN5yi6H%6B5YdK_^^!xLoqm4#TP!#bd*<dNiWaQN}$e+07$TX-juw_ytwEO}H;
z!EGVoI?NY8F=JT#BvWV1#e(D%c7j7QY+=xszvNCBFZmJvxeNdN82`LZeoEn!WvSx;
zqa$(9<?cDP#_a6yyz0+f)LMtII2XENpZYIrYXnWK4ZPF=B~tQqsM^u<t*5=fV<V4Y
z89w<;n}ROG39(2#`y#oN7NPZPe2Y-U>rWn&ZPQO3%_acD5v>B5H@x;l5RNEQQF6Gi
z8pf!+*9U|HCS60l3O3;1bUrv;($cn`I-KfTpi!t({apV5cBeWYz~WTL64iK8oa&2=
zTa&PuyX4J_jfU&k-eW-T*6`{c*yF}u<ebC&u2&Md4Os2|e?~Zc{jr%v=-57mx>bZ=
zi{&7LqV00*EzcluJtx2GNN@O&Zl6fZfK$#Lx#LE+`3JDGI3K{m;#lHf@r~J;1VjwS
zNS<l4tbZL9uQ$3jXsS3;1Nko-D2$cv%%Rnt2KzgHVC`t-1LRR+i)K9FAE7)t*dT+V
z!kysy-~E94P+`cTm)jl8SR!oqH7}svu$^BZ00u2=SD5_&eLo}v1nn4r20j%Y5nH}Y
zw-wjLpj~E8B_|`$XpkhI1&6O(#~E8W7APBIA2X_}kVVUR8O9!k!F~B_98V%lXPbV8
zxMUTeWNCNDn^c>7l8i#WHRkl7o#hDUC+p5qP4Ruk9&ixSP7=F<5JqbzhR8$jwm5D@
z=fn1rUz`)cT@Mg~pqMOGSHltD09kZDQuQb2B0G#HlfhiUx24O%yeI0N!>10^TLn8>
zAz3^;mW)|`+o1fW#l*O^;SQ7SE`w(gCc6R~O$d$y0ZL9)0APSB4vg!_w2vw(?@~Za
zcryf_MYF(;kYa9f<ZX>!9e!(cBRKNPyd9O~EM>@$-NVhnGgZSf+n`lGnDu=4)e+3X
zBF!Q)miOc`6>j}@2u>~iM=2V#7oIb^cWX=ZyIcxmfiNWmuDhygK$Qw&wV`7-wkU`t
zQI!i~<uK(4Vp-~4G$7|lT&9Ee0N6C)$rb=tsOp9S{3EG&s0u~Pj0mZl60FKYRhLoK
zVtp{i{D(4TF274`5NEv)x>Fg~%`ON75179j8-;6vQ<P<fyD&K=C3L<j65!NV3rO^b
zW#$5j+T+QCgiQaOIf-!2LnhIB;o`+hE4UWWev>mNQaxH`dV*A6!A9YvDs9L8AQ&iB
z-6XGsX126{OU#_7fE6g5??Q(@lMc9-DE{r@dO|1>b)_ioRS5}?AB%OqRQy<&c9N2o
z_%Wf>8b4+ZbS!5M^wY+K1D!rO9O&GqJgD>hriFR%EXU${!Qr{luU(A8dQyjK5f1g6
zRlCOMR=qim-Hx_BVyCO|iZXst8l|hNokTCA3)HyFB=eMSG+|~wbMt3iSzHV>cI$P&
z_xu9cHvRLX*?Vr{&G4h2DX(<e6*;NIsgWg?Z_2geRWhfxax)ay>dG%VnXZ?pF5%q1
z78->*w{P(eVE4=L0W8iIEK%7?ac++?9I}PXFn?jQD2ny@ca8qsOR>6qc-+lmm@p4l
zn=ok%YIi^}oVZoI>RWjhb*uP|H|3;1$25hPC;X-#Rd%R<gFzDHBz~8F06VMj0W7S7
zB@R{@K{e=N6jrFS$wNk82E`N?S0J0PLBg2iLBgRiq!--|Y`~5=^oo*4y%Y9&Dg6`y
z7|MAmzvqW!052s2u#6-X*F`U7wrnMP5a_&@QcHK&m)pF;^6kghuGM+lV2<+qs1Fv#
zmm>fKxg*RA{1PnDL{E|bmod2m7JZqKUV56*%9xa0{{27zczMLyZY?{{KXw2@Q+AXX
z&l-y>|JXofkXguR!X<3uwXAWn6ZmgwUBct4<!G3n;sgg519C5($Hf@r-+uyP+l^$m
zlQT~2(xcf<dycv1AXx;y;XURu|ENR@snwI4k>KOWO~G_$8@P#OW|0zY_HiTtZI<5k
zdutht3ok+)8%+p)0<B|n{jN*bPs3d#anFAE18?nLhsQ#u;8Kn`<>*4rbG%oY*iprK
z(IvT(tI@&6AqZNqjJWL)T(u7`4n$ddI70zPC77|L`;HZpyvRtuD;Q;}li~(wmG>dP
z8h&;7kg-V9+J@@XeaN1>IQe`$HKZJpW9dF)U_<dM$`^fr+`D`aO~hSQHN;AJm){N@
zyYWcgWr@U`cR7bchj-ah@9a=!lE_Pgn}DV>N6c0Wm;d-x1sFzRyaGu#p4>rIlUKq&
zdf-Tj$Lz*ENK`TJ+Co#Dg=Mf9&MDy=9B@ZMjc%ndYTE><aO3h-gfS?a+)Z|Ip6Dwy
zQP@uA&l6#hI*e&~=;CvdF*CY6UYJJqLP>WLn#Yad+>)RO%|8(M?y9QLBp-&#fj-jY
zhfvpzJrWv;x}4DDFy{~&OT9CRsfxHpVlEA<4;*cdRV*%FEWm9}T)bT-FN5v?jw1oR
z@(2Mgl7ar>n5qsfi1YL7bk=t>7$SiOan8j?MQi#MLY<@|`{HJnuS;Jtvhu?5<f<}|
zkVF2N(4xR`FC6j+@sJU$g<Fb4Fw<qGClEb_jlvPFZv_b^!w>-Vr&p4MAkB1JFpz_)
z8)Nta#nUCSd3lmJVZOMY-~>czDNgXqIuFeVJG@kAMr^Dkg)O0(4}-YdkM^<943@Ld
z%>6JicD8{&Elp_VMa^~<F3^EJ9bBg~(_3_ChFxMMZx32rfJTRH5doU#YCB}TTe>G{
zJ8T<TvkkaK2(iH3L9XBovwW00g*MQv*`(!(I{imoEI$pTRqYeEKnPbd9;*AKY;|<+
ze0BW8^I~`~M~QKn<vhk^{H$a2OA<G>;E6xRmEkq{B6efMhUip`k3l#;WO1Pp3`;Tt
zGK&N$KW>INHrCLm@Llf|9EThJ4jTEEOu;{x=J`#ktArv>aWg%iQwIJhtIK8uAsqfy
zpTde`ynJnUl>Y|<OYuv(lh-%;2eA7k`2ZGAJeH_(sD!ZAD~f<4Bfs?8vRTjcgQ)DF
z)g{*x#wwG|8o}UpKQNYPQ&sTo_5(lNXk{oWJHGuu1p9%X>mNG+k;xUf*beFjX45dN
z1uqLbI1F55p|PICJ7;gK$Is;eL%CSb%lwcG5bI$88u(PGm{(QBburdsQ{Q?<x^5v4
zU`D^qiwre8FHoj+h{D1WZvh|zRJ{mG*wB(8G<gVA-xC>@FjjBaeA035qdKX?m=iw|
z{RzIPfXMm7D?8yfqi!6@*J4>{CF!=|{YbDv@sY*O5xDvXTq<4IaLXV|>2`9FPW}WL
zc|7@4Fh3)m@G974NT)yINB}x5eW>NH%3xf03%-Pn;0j@6s4aLIl_k`Y+zxA;@XWCA
zNyYE{y%KFtxV8mYY(E4<AlrU>^vu?gTgdaPFdpUHOXlp-2@rZIiii7*1pGq#_Md`L
zpgIvAf>!y^$q(RHN9Y8LG(*QQ+jQTrlH`h3IpD;w%Ga#dyE7~xW&J{b8V`u9f<``7
zt*#QK0wQD3u^T(&+hwTHXX$>1F4;23{5bl(m>p%jB{vNGtJFp0pV~Rd=-W$RH#r3=
zhkDM>gSrD?chz>e>Bo=y44*Z~3`6j{8e~==mp<#`-aN>-H$tOOzAc5>7Y>Bk<fnLL
z7Tf--m$4J;%nvd_j#x0%%?s7AL{l4%z=x&YQv#KyBv2aK0+woXyv&4i#R|Viy3wzv
zc&za6sj7duxPk5Tqsmp8XN;B#{ySb+kA@JQ+G4SHaYs!jqIX%l%&y6h#J1CV2wwOT
zIJL!Bi83Pjy}=}ROR<O^{uZ&iHF}6e8Y_79+z8@D2qOEUL;VLvcYez7732d1p1Z2L
zf|QcP4@1Xp?9d9rP@}IPtHCEKCP|<5IsW+|bL1rOW4Gvy%f|*8`Kv?2ZqCJ!d_5Gw
zz<W6@lw&=I7P8d4WN>+uv`iP#3Fs;ls$yOBn+1eGn@ZDF-Y!L;_FDlOkOykf#14!e
zJ;Ib_;ptm>x{m8I`CX!!l-bq|x|VUvIwFAwYPVpcf*pa9=W)hvettVLjrsZZ{6Z7X
z<kaM@GN`VcLK;*Zc;fsr)1=tnPH5pXLJ%FCdWeo8Q?FzccyF2M2`WAp8--I*cNPuc
zzKVl^9CTUnM1l1U94#<aBAb`ti4$I2Tu*QUqO=qz_!S9{0t**GsVK1U|40g3qQJB(
z@f^^@aux-?8z#o0!1T!*1@_O0UBOqUhv3-5aCyMkW|Y5~uHP?DH}Ab0p`n}i-Xr0n
zPbOUT4FYEaU%7Y7?sjuwuC=$*n1jc94#m%hqp^EC?b${%mTIlS;?0oSS@I+x+&BBY
zl1(Oy;n73XfCDAft$x7p($uq8ZoXOEwR(<F-mB!yh!uD4S?}Zn_YcqJ?kKO^i=U?W
zy;hU^dYy$CxbP#cvGKZDr<m!rE0SQC`EyuINpzycHfHiGA@fm2IAKzXuX25%CGwNN
zV=4;W8bibmFiie&*(&|wQFdgpm<@Qe{0_lO>A7XOSfIRoL!CHZkZ86?-0!NtPE#O)
zM7L`sN*=~;j0}L&L-4@d0wGm(xc{aAZr|HP8EYwUXSXqaLMEFl!f~|7C>PNzi{Zk7
zX2ZM55(i2o*Z<f{8b=1iKSCpL1uNlfclyAJW4#K+9?s?iSc1D)qUt9leIR=i+D(6s
zDr5f(+rsRgI-PYl`@vUy(W)KiNiE0*QbUmS$CdX#uLE<NjJ6YCa2?O?%kZ}O0kz|q
z50FPk@Zp80`G+l!AJ52xAk2Mb-Zg&6eF!s*K6`?KpNAo^6q=wg?FH1Epil@yxdert
zACdtQ6c~U8J{6`BD;VZd{R7iFnYP@=%_c?jJ67g!Lo26C<(;9zwZI28Vh*qOqQ;>|
z?}SFWe7p7N+x!FA*_97q(W6-6(4)JhkvTXvOY7MW8t}O7&Lz;Z@6XY}t!Mw#52&3E
ze1N>3y<}h%8~pbrKUj)L1>$cJkQM9cJi^_2`rH1Q`4DdC6}z7H%SZ`5{WCA1UOin1
zLpeQt+(uovbzw>d(9;Y+1D^_0dG++UW%sT*C0uyOt>T@rL;ao!jY8G$Mg9ToT*wEo
zs9!8`sNc+tb?@;@tJmik<LMkRKsH?&Gxq8np55wo$`7a=&wPNqdOg{RLPLGd`G-|F
zJy3mmMlM#5d4##u<IDY!`w(V`vt2#<dANjnyxR+?S3MTOP)<GG?}uan^~eA;@To9O
zUOg7q#XMV^^CN4SJO~!?5+#(5(hH@@|3sUc<&ARp3tgG;F}@22^852GUy7%Iy1SxX
z<a^w8z+vvpklR^YRyQTCrtMCuhlmcmDB3UjDfU(!U?Nk2z5N&mB9r;-CqVKe20LUY
zm(yPm<1Gqq($>ibl$TGF|AAvNciN?k={uVed2j#5n2N6EE6GCu1B*AToj<aJXre#%
zgMq#W*rR!0g}!_-!E_Yvda1Q%`pIXoS4{aA@8tbGG)>3wDj2+4Gv%=jTT0k%)lRE_
zCws#3^U#XY4vFiMN3hq$A&2=<CYGm9ngkJf7fhJV>FO2H{)`#Y)gUW<KX0EScsoFr
zEF8SzILX1~9m1=yu@b0R44?j=!TEFpfH53C4M73t#^hfCV4k-w$)~2;u@t<#Udj}|
zJq>L_?fEZo5Wp}nM|OyOat|bq9gJIXr`p5Zv392h*U#6C95VjwZFa*@*=Ev%nmiTh
zJf2j%<W{Xu#1ZDcFUu$rNvxGHr#-s`@zyF{{1K^3UIcHA#xp&cFj81AL;WQT^-n8{
z`s5;PvE|y;KsN=}NfG^mbq3e1({Arq>RaK%8SuYi>7-+E3liMpZvPgjus^M_M+*iy
z<Xo(mB6;Zf1!Wh};?5@-<a&HrqC|$;Jt5{Bg9oYD-m%^l;S<YnB6?4?*^MFp^K$m$
zB;voK9NvX>c)s0{`H<qPWCgMeUg+fm|6$#mWZU$s%PzVr$!r`!KE0SEv??lRdqbO4
zl%SRUX>e{D+6#5UzC;qo787=OKIWiNsORIC{R7xHn0x?>=L1XBrC-6t2=Y5aYJMxv
z3iY|a+2~6*BQ&+7n5UlL92-R4peJaRDzQ1aBf_`B-$-aQMzwFF{Rk<sjs64goW0xV
zLKw7d^cqq-j2w^>%f9LO|5HCK18k%jh;B<q-AFfV*jJV!Q5QGTnF>ql2s8@2eqdEO
zm1JQ)%%soEYtpFS@=ksb=A%J^neQ86(-&t`Z5YV#oZJAtEsZOI?dINwySZ(_3!=P3
zlTnK-r+pmZg-(Z!{9y;<y(IHz$;-*Q<H<}N!+)H+5|yIDOkK{)A>n+4qXclCKd@PR
zftLCN5?|BQpCkoHpiV7=ev#LEGB%pvLhU%OsqBDYyEE556vM?k-Rg8RhHH45)q_z5
z7oND<qBA!13!MM0#l5&Q*J#C2V-^fARzKp=->6$}FEnfLY*!Q?o@p-BU>5}$kt)X-
zXEp6>d5MMoykPXGXH8Z?tIVkad@By)?0^FD9OSR^!y;7<GKUy5{`F%jV;p&6rI6os
z>h3W*HC9bUZzGWWNX~8o(p^>cI+Z%qc{OzGMHA)UNF3!3jpR_|I5c9Zw|f{2CUKh%
zr8`(5O-Qq~!QA38<u{%@wSYKCM}BAkr8F>Ad~-mrJXKsMC$Sgvf-Igx7psU=8u^Uu
zWIw>*yD$vPSxWZn@e@6UPM^$_Y_?sTV3zs7S=lj9Ux5SU_B`Slm;1bUy~Trr^Kqwl
z1hTVVIQ;HKva@p+oqlck?I=09c;2wbLGaXK`eX>CUH`4Z4FhH(C!9PZsQe<;11+rY
z1twMXxm%wKlNocm-zi%ye;Q>sp^Zu6vFMEauA}rpi5%Om+wV@v5Sx4iyCKIzMp$Jd
z0(X9~+wqL8$DevfR}ED=L9=l)m6_ZNoi6zfpbW?3I#UB*@UqqrWM%&jr>Aviqgbz7
z#fx?ISRD9{_=|pQ36PHBfSQt_lW*ei<H`RF<|<|ZOeFVVi!C&T$K({;+64^)b|NYf
zGlo@I%0R}8XmM0ToRX_KJx<9k?)(W1%GTlkjh|>8rcaJ_m;($e{=jSTJX{L|9(mX~
z;9@z20nVjfmg6N@mh-c4uF%|g@hoE(1}tN?0S8~vj@vZIind<1O8;*8SsgYE8;5*O
zu+?GfoUKS|2(lu!NbHqg@-oaP6WEQh<Q)SS)u`_QK|FiIE_^vc{HQ~+-3y6p`Ln^0
zshngKI$iSRZ$L>AE8+huTuUp;T25u_qNu*7et~>XU9dNuOl7(moHA8dEBSd=h;*~Z
z)#XAtSYyeL$<+wuc(Ny$CHdO<|BMDATJFwhnRg>riv5W4J_qhEliwvFNJZ^0Lj~bM
zycru!aJ^LQLEO@U*O!FVr7>K@Ue9Ivw5XZ{JT0mT+|?{IFFMBGfEK>wEi}crZwBWd
z=$pBbsuq*0<b@7*m6@I(+iS2<IN4UiYT^nlQkf(OangOkAPwq*Olefr2YCgIskv&&
z2l+PmwSbaD@w<!b35p}?N>MypCM~`|@v^dz@lxJ6q2whcE#A2I1Go@@_3Q(%2HOXG
z89&iJfId0)0gLp<P2+>=OP$g3i%VejBixIy^Y0I^^9eQWUOn!B=VIvIO6%PU5So>j
z9ypU^z^j6DXUds<(Ix%|z&UOwnct)HUD-DM>*cqxV3;G5Jv(=Q<iCu@M8t}ccJqQI
z1BDNj9jsqNLkTwG-*i4&eS(jV9Qio^2@DjPkF&`?fIT0F4`9j1!4j44m3*8fxvd2y
zFrQ$t6hrBBIoppmCH|<c=$>4mr2siN`Qr?jP0lK?XC5)qyO(g`BE}=uKV^KF9kJeG
zIbyBo+nj&|o|eAGPYnA+_RyTeZk@Q<KY(3G_y86m!4ij%Y|KteBVss4@*JKWnA7>P
zWpwR!p9b<}Hc&7(B{|Hx59qzZ53e1we1JSwSg=FK$Q%44l$TUC$Re=8s0v;wHBF!P
z3GeX3>cfU1kzSs6uq3!fLNAec$P1`9ZO|_k0E3n`$X<OGh8A5Vs+0FG{E!TgG{^un
z@Tss#Uc(jF#iYT^tV{kKS4lL17MV2oeedK|*JYrzm*nm5!1%d!BabSPG-$&>hP&ij
zfR!cpnVucE>yRmfj8^1#`ZhOi3Vn#rkUm7Tb|FiwH4{T}SMRnMo;N;Ux((Tl{GAxC
zXlr%pMQ%0Y3lzkn`;oGeY&sEGZag^-|0$J}xO}%DMAHo%AwbiCe2HoTB3D!DPm%zn
z-_I<Aec_tgij5|?&M5XM)@V}^Rf_qX@)LQ2g5=3)w$Y-Sz+ux3d5V&I>H67Tz0r-@
zt(f_{jg-WI-OMGy^H)7t$3QF1lO>W4FN6X|(jgY9d~R+M^rXX(^LCuLAysvvUuS^g
zHp$S9%2O4urK!2As`|WCs^VVg*o$0p6H3hHQWbNEb)+g<>RmJ-uSs;KgZ2Q5&x9vi
zcPvgwa)F*-Kmx_-jUpQ80^LGYi=EywCc*hmewWxFjdCY+r}DX*V-Vc+BTyS&FULmV
z8s!v44e<OBPRXwDUHGa<fKy*B0PC$~=0YTT3n9}#XC9ZpIS-jcCF2qwD>FSos*hl!
za8fb*jaVjZcl2;DP^!jBW}unv06vRZeUIw)s-1&zug~A)Db_ikgFb!6Brq@${r@Yj
zCqfg5y;4N?Y6TIR5GF&Z(1frZB{40b3Bs!9PH8M>fr%9-iNFMXTAIK_M}Hk{i9!_Y
z8ew_#wmN(_|D-;TMT9J7ij68`u>Xp;iBAUR2wM}xRu&U<pCnr?v!~)PKQGJ3-Dolc
zi{Y3*%SDS;*^0zX`DCRGugTfijS=~vu+|gsHu2@&DL4WNyP%OzB@6yRXYWN+R|%vH
z{cYl#2ARV17+67<3)lPu*xhe@0E<rzOH?^jVj%;+P5etnpKjYnU9UZHhmszjLkyjk
z*<y({TLtCr=ZW8Fv@+&nN4Xye5O<61V{sk6(?7Q2$8zB^_jXXq{FTAZVKx)P>ahE6
z{d@-Qi%{R~r@Yhl`fdwhDCfKVk{^-*e76ih1D^^Z^9rlDF8Xe5N?iBdF8Ya=A9;~6
zfG<~vD3~Q52RH(BzVPYVFq7dlIUagja-Z&brOh(o-Cbs;4tX?B;EYu0r7rynF?U6j
zZYPbY<jGHhMPfYJjQ^DKLNCMDi%;Z8ctSkS=aj*?a6VM9(F8YJ9iHc-=k?+}!6;CD
z6~{v>tMmCvC~!ERu}Eca(;m^C&x+5+{($j*qdUV!QkFNxfqXN8=dP-nG^HHKw?M~U
z1d#)oVMm*262X&LT!p}M#!@NJ4y!lF961RLYfl?A4SK}*R|XmV6(um7%tPfshgtG!
zs5=mbQ|~**_Y5-05EK`@WBmR>#=RdJ`K%C?eM=$t1A`*h`;_sY4KhcLTi8pPPZ?v0
zra&A)7E8U*hl!>5m3hk894|BUTtSp)6wnbh7JnY}QmT5?JZ1c2gGO#u>y>2@%lt>0
zJ;eO;7pP#7#tmMDSNNLo*k-*uH{i;0G6Id3L>|{c$6f@{a>B5qYxaT%jZYh7nw$!L
z1Q$JMeC{A4?-&|_b54om{1Q0Ev@}y4<rvVRjx6;S@f>lcp%&2zY&J}&ij~&)Nf!Nb
zp(!nIm&wc4g20U@mjv|6gOzA_2ga?=qN+oSCm$-syF8xU#YP4D1m)g=u!o14Up}aA
z#wkJ7fflbRGfj#*{tC44DL~YfoO+0kAycnpsQKMxrYClL@4!Zkif>-OV&w|_53XZ?
zsU)XD-hj9&2F!IN%@yK%s{5H7v1h%KBpBKL4+TRzsMTk{SiIgmNF?-X0OE=d71tA7
zf#@y86@I0{FRc<zgi^6+;USVTYl%hEhQ$+$#&Q;mejFyo4$0A{rHMs17v>=_9E&#{
zmM9jzq)}*n28)P7w*uUq`e5qQ!~0^qPkVdBUQyc1?u15@hOUIxt_y!zBuyRlhUkrY
z=OPEl{8<<B(Vqit;&l1>55%pKZI5n$t%)}y6nv)gT&t5x{6t80re;&F6|a(=Gb{0c
z>x4wLEz<1>6Q2x?z!jzh{M-)@p5q_D9`NG>SfY+tqOz3|V;yBUWbA2J^kC(RVx3K&
zY4qn_0@St06JHg>1jk=4BV-!m+Czd2E$($fjdneWx>dsSn{o;u$2W!Vq}BY`vO|4<
zK@!9*9sdA!Zs7x1xCKib+%kfi(8VjPQ0J7_8hsfQQ@pZ)oWceP=96C`G#aCNG44P}
ziO})8y>s@4j{QUd7|Ml?KkA2MfY31mu#7Mj*Tv9rws<8cA<+3_KPS2u-MrfJ8Pb34
zMamNwLjDrKL7|bAk>TdY5={UVE#OWPdE97aFuh$1_<;yc68TU6*a2dm^T(7;5@9nb
z<TeqJw=rDSIQbcv>;J!q$Q#xWY@qReMlK{2$^K6O6}bhpga2K)Z8y^HfR0d!)bwb!
z)1ISWFryT{!9_dSBSa-yNVT7w^<;o&JUIjZahkHKnBko8{h^~edTr2&-_RIwBmixe
z{@m2XWiT%M85d$B$xn7SM)~OVUTJPemHBF`R_#vCv^()+m$p@t%;uz%Rn_QV;}D$p
zo1yEJw@1}(cLDBt%G$$aV&WPh<0w@LgMD8xYE-Ys7HDOSYF`fpj;J;ksci3$YM<;x
z4l}Ygr=A*8<j6l%HwHG;zoLSbfJICbaaUE1vQqKy1UmMjk^&YIk2z<04vh|Hx~1OP
zp)4iwmj*Why=IP>EgG)q-g63&jP&4+@@G?3e{^p*Zb_nw`N}R@=IpE@7Q<T#3%v%u
zZB~nB;Q>0MHrvD`XDJ@bv~VBub^uOgZ8zI^DKBDq_tIRgu{<nNNAe5NNyg+RvrWq8
z)Ltk_PondnF`Rp1is*cZz;{<wMJKr(Du*UEd<^P(5lEsVv6mB_9P%8ZW2tv0u~rf9
zNaUqq^+9ONv5JM}tp(`K35~Z)5nb97&?}Em;KCT_i9VmI4lTO$AJCo3{cavZB=G3c
zzhR?-bzBKYjO>e>+0|V1B_k^@98ZotxdbHS>OTfr1O|W*;vplrWB}-#GSd@?u3)2Z
zMC&`z0pdPa1Oqv!#__~`auyKjo=b~~Ow4deaXk_DL9CWy2EVxTxQ{TuOT~S}eo7MA
z68E_sc-Qw>36`_CPZuV};y(1r8~5?giQnQbo&g8&9>y2J(Nm%~<hQu<7ocNxtHrKx
ze>uW*7p(osD<pLE$%L-HL11p+yW9DDocns!UUzS&J=<u;yZL><QH7mq1Pj09aYlGI
z<(iUBCRsSh28SMGf;lU@*1G2k_OH6TR6|Mft}3UkFK$w_-n3}H&ynxnJ5&6wu*rSB
z&cX~_krLO~c-^d1T-0|(5)9K?!eTO+M2l_Q#hpEmG0F%f_9Wt~TrtRsdMogfiaPhQ
zB|PqUpz=3mtMqe6<u#6Wj-sH|9WwfVZdq;>s4m}7C(7?i^x7g-mHJ)v*J%nukmh!c
zG|Bt08=6ygM)VXn`wQrORdhH%S^(!g^?R*wzQF}&c5CJ*q%T1cf}=$ixhQ6V%nJva
z4ew^4VCTbL(l~;hpMyrB!OqA01K1tcd;m+d21`^uqy#(9kV?=^e~zkrOd-4DPiNg9
z8RNP2o@$_Zf}z<!YM873xbh<Ibzu3EDfV~{&+c0UM^4cZV*qN$Gan$2j$p^s3I1Uf
z$5bGGJR=W+F!x1+XZa!bAxyW({6ga3;Sv$Y%e;VkBaVJKDjjjW-VezD5l04~flq~L
z#EONd>;H^NL#8eFaq~#g{En44+@Q+o(!l#y>t572SfmDxLiOk&{{VJ&<pWrF5KA0-
zbhp%_gJZL_o=pvS4E3e3M4%oiqi0{6qk~(|-scC@P6s|fUe8`KFp7<+^85W@mB-&A
zAS>3>d4#+5^r!qY^C8^OEB4F~zl@a7(_i%h>ebVQFqF#-`3FBF1L$c6pn*??sl0mn
z+_HProDwdKUaTJ1)tR9_?3DjcKvSst-Q*v@&V_sci~7Y9hx*OTSodDOw0b?;557Xl
zB~Y(tz~DNb-RgChA5c4<`2czKda@IRhWfnPKWusYct$Q(k9mZ-)#H9Y<UWKM;_MX?
z2M?D}k6kaIUiIjgqta&VulgYwKs_=54SXt0lUI+$bun=+^Pgo-nyh8=MzDyNCXcB;
zn!IflxRC!4ZEl{G#N0%bmGma~8Pyk{-k+7!#k{`mu4ote7<V0Tm^&;#M4W7x5^u_N
zC)KpT122m9i+<eRsRK+@DiC@e<AZ0ip8W*Kz29JiEDoLif*5B}@RF8JJ^*+WuEOLa
zI3_#Rb?IXI&Zb1(*^e4i(U-qU@({ovUVlBZgJ_|@{)(~22cQz5<wMYyFUXgUcH-Gu
zd#0a!276sc-{z`~RzLag&@>%`ALtIul*cG+q4C?QomT(O<YDL`c@MN=i8#n@$s^e7
z;*i7qClkxd=S+f!JPS+d=5+OnNVz{ET@A9)_w)1_f~P&QW8v7xU_{Qb;SS%gV<RQd
zvKW5+8ckX6L5+HO`0+c?bU6Izn>y#V<jXi|_I9%*llr^`yFDSVcQS=;&oP=%dwws+
zEHFWK{P2=JkOXuvZpEEyuhBXfUEit29Y*E|^7EqIaBS>gyVIDdHu<mYlKm_fbP+vB
ze`&JjR8k<T@gFDgRnj5mFgJ8r#fC^utz<gw*{w#eQN_HiNL|>X_H+U-V9OU&3+rVl
zKZ&9Igt914Herh`*RBSgp};yR7Aja(aFsgk_I{<l6+Xc8;VR+MvAEU4Gjx4;R=mDH
zeG%iQ!H*=`;%t#Tig-iWrP8h9CK;r9R9K=w2E;vq;pY~1Ug^Yh?L+ZYt<kMcH{oIP
z*=F_Nu4o!l_b!X}RGVFP(69#28}Xf77I=fzb-vwUzvB@t{#BBk*82;+^!A@5JWsYw
z|8m*HWF=WCjG2W8PcJ3~Q9wBq7TTnugq}{a4Z}KyBt>hXPSEE_qSzw24)^iZ&`94`
zyU!fH&_95Eo5%;S?ESDr)$s~0Mv%|h-18f9R;bT?-ssD-)GNlOC&b1EQMcJ-V=56g
zxvzN?^k0+EXpCy#4EqsMVl(`D@0`7x;X)WRU*Q^3H-Z)UHy!`?`C%DgJIp|I+coNT
z_$nLrEn8>Y4ri(>*^NM>u<KWlDi_IFn2!{$KKVcPPF`E{0-28n31+^B!lo|{HrX(c
z;W^n3y)BJHfFy=|0_oPm1yEcq%Be&a(IiK7q03<7^XM_Ch%J25C^CPRWK8}Jdmc~z
zmJcA-a6_OKmJ(*?a$Noh*Wbu+oj;gVoXM;{-o&?l>Q55$WQzPt8MKQu+keJJ6M{Wp
z5%XWK0<VYV4XUVu3r$>Y(YXjTvG80(E$+pgxkf9F8nf_r6Enaf9w?5w_4Y!u2G5X1
z@!^@~LJiJOKz^diX~roe``XQsVlULuvtdGCDBWDCo(lLn;3sp50KbZ36>Fh8+W+UT
zNW&s+Nj4OqeskCuN1j+2<aZtXtwyJA@DWJ<aMKn7(p^>c8I?MBbOv<nMH6MsNF3!3
zPvlVKI6Psgw|f{2CUKh%r8`i1CZyR~U~bu%(i>0K6c7jL$PY=Nl$z<s>WYX}M<LM|
z;P??$b(0*c^0aNCoP?hCf}HTYXt8=orIF8zPA-C(`O>zroFzur@zd)tMVdaDiP3C3
zIKeFOfpeo@h)+f>)sFc3A?}C~&PD8p-|8_32nCCJOx)%eux3&#Zz$6(KGw}On1}v1
z>t6w!p(;_Gqx~D}+hyDI3(IF?%`j$ct6%bj)0EaJ^^N))h7JNBB1@wUc+K%{N%Io>
z_C7QU-M7ETKY)GT&IhpU+p$FDZ)M*;)H4_8JT&YNaApm22)UM$75WKdUb@_>i<WA9
zczg)M1T}aw_%UJ(19rP7f|1z0cB)(KU#D&r7uOQKLH`Xu5$qFri~*-yg5q{!J?<aC
zE)0ACi!fk`Ll_qO2L0+Sde;U`mCa}%Kibn7y?(9#%wg7@cC*<JuN|{|fV`YDFN`js
zXZlAdj}bOVux#bA0V;|`;?*D>X_Ke<VfA6dkVr4jJ6N)W8}WKCpk6nkUn~Fy&5c<2
z27T2J$pB772B3jYg-!AruDC8b5i>I_c>^kdAvh6V?w$Mqt4~SZei@AKOWEM45>7-L
z1~S|whXE@~?nFGTVAmjBh>S+$*7_x`uM1s>i+(enD~3h)BUNDX9%Pa6<Xyp>!uIPE
z%Wx|}w0t{91kf_?qO1(rNBM_kur7R*4`QPUt|N-CfPRto=Dcm&%I<Grr=*{lx8}bP
zJa5&jb|18|Iv@WW3LMTyEYeIV!zj?5kG^agE_%KyQmSaN{+2Pc+tflQ6n9a6lcwUX
zs#;~GT$JC2j=jhv7p25x&PAC+q{BsNsW<4$@DiPid0XCuCtFWkj>yjxkN~O09g!%C
zfsV)zQPpDoA>Wec{3gFkY!Gv8IZfwlH^(5j{I-^HY!t3JyidY23)NRe0$lXA{LV6S
zp({SNLkpi>p^ymYJY*7;yzk|?Wu_-cbqzKOCl#~Hh-C}~2i^_au4g(JC{^Pm{|a1e
zOPdXQTRx}2N$0$nDCA{eBKrQ~dO|J{d!>l()e0g&AWVZ&0RmwgN@7|91cX)3eg0U^
z0t9b{iLn3yeOj6TL83pyJ>*aUyVOIb(7j-Y0RtWGMT8Fado}_3ApaF_$Ugu~pxQKU
z(Ggowyz=CJ+3M)N@>Iuv-@G5hd@P<Xqvp?YaiZ1qk0fqv-g19*CBtj-3GBv*NIX$*
z$bZ>81xKRZBhbjVjtc(4Q|_Oqx{9-Q=x@k>e~>ABhk+I3ru{en0Cx8oAHd=h!xB{v
zm6*lAZ^$1P>3zCoTV0nu@q&^boAoe0ZKZP8gJX#{TLtCr>%pI5v@+&nN4Xye0MBCM
zSl*Do*gv-7vUA}w=z4HGCge)tWHT|W3%l>t&u1lkuQz(9?e)DD!cfllde9Ha0KQiS
zpn*??ka>kwTo-+>HYKhna4z~r#aDZgF@P^thbTDS@JfIqK<5jetPL|6PLp?o4qS4d
z?6zQYOn7IPnTbQ5$@lW*rqIh=`VDw)Bb9C^ji}`P$lT+}?*;QX?9l0i)lq%>e$Esn
zI=zo0;R*2|f2s_|g>&JLu+aoJR~;VY^0)6_i95Ndg85DR;qH7m@3%dAX6wi;<X*;K
z8|_xLb0oU0(W^(*9@Lm#=*3++2zaR4To5ln7@4jk*sX|&vM-YF$asG&7zL{T^WD(O
z>P&tV3LMU4EYeIM!w%7%$%;?L?t}R!qdUVkQkFIJXK@Gd;{=|&s%pxVauEL*I`$%n
zoHYzP+C;r?$FJL}qs$GsGDl7VFLs08jz4*j(KkaQ-vX&(I9UUg107<?IMf{o!~VD9
z&l_ZtAt)|*JO0W+#(f4fS`y@5H7IhuZ^yrIkU4VP!j92=tQku*1>y*zSn4h5+wtaj
znStjDl6<8=4WTsi*CoD4RsF9^+%VH_%{C53m8)Q#h}hefv~KX<@i7TpZSfHK487SB
ziL3LX`6@gg)MZZ!Wy=gpn$+K#7-hYQ#YBA7my_27liVxI;$Xz9h~dEtpFbFZMH)AF
z6<*=n@%I?r1*zKKBJkW*2Ud2!4IO(CM9T@oj<%en1#icHc#vswD)<pBA5_JdiN&Ar
zXM>FVCqqMU&KZ$>rUZ^*PC0dyV?c*Gvea9|v+q*e(nWLvn++4HVx{%+0$Svhmbc4<
zza9UD09DB2#b|g3#-$!&T5}8zgXni3RFVzKZ>fwA`{TvyPuF#gTjCK3JYKvO8x`ym
zl-oYS9(ZSg<Dj}3rvz08o;bD4G%2chGPLj+B!~`9Jw(TlsaG<TysOOg1Qnl#jl!v@
zyOkUvWxbN56Ya;Y4+e73#U<5;FJ5M@CCYhuo|xh4;(CG^5UZt_!LLjB88qQLC>3HB
zjv+~8ONg2FDV`8Bma`D^D`8?R#7v)-Cd7OTx8A^AV1H?X8F`kA*W9i^v<T<pPVWf3
z)A79FbvwyHb%vAEFD{=$RdTKr#q?Y@bGn-j8Nxu-SL)e&9_s{wB4L3mzvw#T9$-S%
zG<J)w@c3hh`)=84`O+l2kY`L1i!G`0yN=4=lSnBa+s+W0+>hN5S7Zd$JY1u@;8;7{
z8>El^hu+cEsE3`9*|?ehOnw78UGktq2#14lfbZfiPi`Y;_M18VtU(9G_S?!Y$LQ5#
zu``d_v-HF-Q|0o$jDVVwg_6I*;m4CN2Xhfp1a59i`q+ZqdH0uc3T`ceRvtgmEoKaz
zNS@Dl5B(whrK`0<o#{7Lvd6Ce0S0C3>G$yyo$01ej`frS3@i7*=ele9W57dB+gg%@
zEgfR#3d;|?dzPbF&vK*>qP~&E9t7SVv1`EhvTM+A<4*^*wVUvmONu#_>X{DSsCO>b
zHS=f5&}1NwoZ(yC{Mkk;WZR=V#A)Kq$eKD+d2h%`B~Fd(-HlDTR=i4fbh^ar&Epc)
zwuRG?QT21s2xM5vjd7nE-R2*_o*Tmlu%shliE1+`=}4mthm1W9Cm1+}M6u4M&oKIP
zYfp6_=Sf8p!vv=)Je`nfjBC%HVQA6yw9UG}OturLTP2fiQ%(Wo_@?lp|7kzA>`=d$
zK@!9*^Zo(s+`<R2a0`|=xMc)2p^H~oq0T9<Hu^FsrUWtrIfV@p%qOoTG#aCNG44P}
zi7cykdgtuTvhouJU?`Vm^$|ZL17uk-0Lutdab3)^$`-HW1OytDzMf@uqI=QJt1aCN
zq_gB#yhu?sLm*4)g9WqZUjiJIO_0l{#1c&a6)oV-r~JOr%3ylC7VrZB;N@{^i+}vg
zKX!na=Rz1f&QcPch1@2R*K7=zHBNpCrumZZBYnwhh84uOlUz7x|MfGuc`10%VB3xJ
z;PZ-U$Hg53JSK`;GIWPQgtR&*l5AkrFVRBER&vIfz_sJaR{W>bRoX{&qL)D@zOmfG
zkpN0;>5mFuR0iY1_5btOXhQH4C?d;shUF8z_DVB5syJV?r09J$I@mZAw|K~YdsOXq
z7v_K)XQ#R`-qMYi973uXv$phDeF;PThG5jFk%Cj9l{EqExllkVJ0G#fB9-k;#i<9f
zJugP`V4bIi6gk>5&Kd(7YF|;k=*i%zVly-mcU5)eE0ro%hmO6dq}aa1V=nHTL!%?^
zY^is4C`(EFrNK==ubCrei-ju@=9&T|BRzN`%(JMfKM`g(ZbhPs`8*U_<Rnp44A+S+
z^cr|we=Wky7^AjLoC^0Z_W^J!YrEOTOL>v@@-~_)tTK5a!XkAfzYv{dOpe|RXPXna
z!Q5IXNl&8lVPiP=#1zr_Ac60$s)|nXQm7o71Nb1+^&*f&M`AB0IyvMyM8{I^%pl&8
z$V<cOgV2~`6${PX1?bHQjkimYh;dawuRN5G3u9pP_FSquw1fNq4&ABT@8&T?!uk=Y
zJ)ZmvHY!-h6=(d&zPJfDXR@#m`;w8B7mg?E&nf{4g~!)Ii@;n7gm}mZE}1K_t<3ZU
zqMw3|!V#@+3J1uQxI7rhK{bviS0ZNtk?z@5Ok`q)rxn)|xe|!gQq15Ncb+RD%<odU
z5@J6kiEPQ0cq#C%@4j9vXR)1^z{FT=hd!kvD^}bIVq2dg3Fj}^@cVlGbK=1#@qQhE
z$6mF|gU2j2{)AbqdNNq#=?;YHE`TKYWeFX9GNG$)5SSY{<n(+NcDV|6m(QtA$4z|P
zX>Ps&|3(#d&L0f?lBpPwz47dlO(vaS=piMTv9f2ad*VrtI(t;(NAf*t=Pu|LcvlAl
zO4gf!?U^rp^WK@_cf(Ka>va}pdJCPn#>VSro#KkFJTh)tLs(4ql4!AwnTASE#wa6`
zSS-X>xm=J5bvH1QiaGb1r3Uf)vQ_%oqcTIr!q)t{fjdM>W_oT}Ruz~o-%zK?dnI;l
z(Wy%PuKMdV<sc|?JD3w0Ws>(`Hxzu!f|@5gnO^|!si8ypkpd|1so!gb@(nI1vlo;;
zA-xES1RO1b$mK8#U0yiQY<M>Vg*QL%C5<Dz`59;w8s7Yxe*n9ynh#)!&tQqFgp}}R
z_A<4b{v1_#Pj_~Kt<JhXG{$o)J=HYxgg>)^RCjm%apmrS>(F?>r=Px`!?XK}+*MD}
z5n}*q$1@)wkB(rM)bajd6_->Xemo-&f-v_jx@Y(y_aV$M;_NX-KM#WwcH7D<sXtwL
znb4~6NoT>Qdja*v7z<%27h`;`ACduLj0`{np9<56^$G*_pJvjKY0G`wHc~XdV;v5+
zrgFM;j1MBnBfslJn)RZ_p+~2oQK%m6`3JDGD<8n3N3q1AM|U#=v)bH0I5tb`*}DvQ
z4E3e3M4%oiqi0{8qk~(|-s=a{P6s|fUe8`KFp3Q&@q2!-%HwYlkQM9cJi^_2`j7oH
z^C8^OD|S8Ymyr^B`meo!di8W64CVCncm0qIpr;vt20j(0^6Kex%WhC}O1Lm?vGQzP
zof+!GPWhh!nnKm@asC19T*wEos9!8`sNc+tb#LTLtJkyq;473|0`<BT2G{ZIR<9TP
z0kz|q50F={Cp%GSsLwtAVawykGjg$d%p=UL9$(;x+=nnjoV`Ng;NcSL@g-hBz3R~~
zM*u@P_4q13Bm<~N2B3jYg=zBYvA8a#%Gq2rS<B=NU=c4(=2Cr>9#c&|iZ(Yp-ol+k
zl#ldA_!-p~p#I)f*)9g$gml>J3h5Z@U?yL8SG0>9jJpmv%$*s!%)xTbPfY|o@S<qH
z=*Q`sI>02Q0x{<?K6WPR*-wDm_ZeJ}1)$Sk5W_4ATvF1>2Ne7yAHp$NK<?7T^qozK
zJhLA$rlPNYmE<9SfdvfK&L7!9q|i^RV36?vs03*FAoS&n?%|W~v$gh2Klu#ys=PX!
zd=i?bV^B=@K&L!7VT+01R_(O<cP0-*56Qcr70bXuW=kHyUKfWP=02HNR{myorx?)&
zSbOz~Xn)27>1vRSzMrK}7cA|T91FjG4F=@=8tm+S4BIFHmc=mRqcmZ?2Q}8^Va9Jm
z)8R0qXXc#Kk}u+%**P;*D`4!vdU;DmA$Ge^Ugu=G+@4r8q4xZ49E6mv66CM!fy|$S
zaVzdrdw4C*Rca8fxiF_c9}HlHH;@jFWOW5b9#2-{KTgW3bV0np`Mc#OfmRxv_Uu-p
z*QjD9R-`UiQF}UxXL|C?V`04v<0mkTA72*Z$#K|X%eAY4Tnem{VnJprbp5p3;YjvY
zSSsNhqe{1QEN;P#d~vsrXSVmJ``O#mgC8Q)*pbJC<r%`gWtTvw?wVw9>TzC)02$!+
zgnFM-)OW@9$oH-Y->HV^?w)G1%gzhZ>1SpJWwA6^Gw0i#9%)#RLGe}6n^y6k_Y&KG
zAaJK_n?AB!qO6jr#;L&5iz&enoq38wn^cr=lKuH~z8cyKb$VVSX=01bI$Xkgppm{;
zcAp%)**}1N>&FMM?B}pVRqqNeMv%=JQuCW^R;bUtW%T7)!W9eB6E<Ums9R?;9F?e<
z+^b;ZEFm-+quMvPeuR|R;J(f~XYU5L5C(07yN0xlP$vAFj{kf8une%pWgxl@7Ilkz
zr49R*?J#a}GtHGe6M@d322<{rurQzHwuw)8C$Ft{fy_sP1T){q!lo~dC)qHN;W>FK
z^tLpce3BU2=ciH8@+Yp;=0u|H$aaqBLNCBZek}xB1*JV?{w!HI`CIIHJozRcKrG;f
zJS!X}49;b^_z|kVo}oH_$f!6g`Ix<UJ7(OAJ6)kR)So2c$qxBR8LW$x*&k!03Bet(
zgjvoQDchFVwuVO)TxQ~Gi_SRAHme6CIO9-5u;&`BIBLwo-7?+kbTh6+JSrP?>+OYR
zEt-y_`0z|~p$0{eY^XAtagnrr<u0+TAG1wgCf!V_X81n__{qE+z^>wm#3*z}`^Eeb
z2`thUWJCSw=ZwZU@&tk9cb&SY8J)VpM<DqbqEiV-cU9F5RO$@TR_NG^Cdz}6ILaM_
z$f3w_5W-S#_b?bt;x-*hccAl3NVAo|+^jL3H=e96AP&-zA9z414NSrQAysvg9DC&{
z*g`o8HSGmiT(Bb+52-ZrInK!iFf(5YHkPv_=UMzj*Xz(HGs&541$hegz<JIus5NG1
zmuN41-SGCp2<0Mn!gsq(0h&KOBn!8E+4GiXT%LSquhyh!xI#>3D@QvnXLpL3yJ|2D
zai;u$3w@FDNGsVd16QaDROe>@j{2ptZTj%C*-<lu8T;w^Cz_%}vWjx^%HCl^z(>e3
zV%N|Jf>-!AomqZU61>EA{WqXd=yv^G{sHXUbv}S)yN)F)b1U2RVV;~o=`!pN@L&yb
z1f2>G8MD$wc7VOx5FriT06s`uVSsM;J}~;aS4?$V{cF^%A~#zs36P5B%t?XFUF14b
ze%ER6bw3U46ZskgPPx9s?YR2Be*n8A@Bu86fF%w|*qG%qB4Rj3^8B1-3+kv?`Bc4Y
zgQm(3R5gJ;eynVuU~c+Z4zup`nUnnR+A+%q$YX_hUUZC{?jNB%M%W;Wzy_nL5pkpS
z|3W{kK5Q5g>E(F`OO|jQKGzGV*LCO@3xGj$9kL63gvn%i-C)WO$pDT+2B3jYg-!Ar
zuDC8b4l@HSc|9tCAvg~2@J@b!#it~1{}PPv%e~;J5{^R~1~S|whX5-}?l|1ywCg9y
z*u+gL+>OggM82%UTwNEs4KLr*Xw~Q{BkT%XMy;6`JUzYJVz^A^e7H`A1r*uaVVxKb
zN4BW8>iq$=u-I;-{!8A4{4t)qBbZIt7JXv*?I4Jd_i;P`A@fej%8<R1A1#A);g$R_
zHj>N-vSsl~mcRLEKW!$Wij(!(9W9;qES!OsY#Pl1H)Dzh-NcnKG(CjZt2eq4oDgQd
zal>U9uzC4XFm_aL+r7}r>XiHf6gZrcSfm+ShS{JyB|W(_d=c{0kb*~x`FD(g-KH42
zrnuws?`R_Ks;bpi%5nKU=-7)&a$HJ0<{XzfG&&rYmU<WQ(@bSKOQJI!v<J|ACOp}C
z<8n`azJLTsEq*o9XQ`_HYNX4A=bxUKBuNv$K(Jt@UTqzW!T;Y~X!by&*xlpV^1(I$
z`W<6(7v$d+Md#>@?`A45UkJbdsnDH6#IPt_#F&jCOgc+A^g^RMH{gokoKN7ntEz&N
z{0Gp@mgY%$p!M%j-CnhGFz)q}r$NVF1d-rK?BoO|ha89CSn8cqhEXzUDb)-_#2mR;
zL{2V1c1}dRU5bm4{wzT7cw7M2$-ub42bqix>qV-UmSRqR5z=97RIsco!NyZE`4<{N
z+>I$bg1#ylC-`as;nOm6q1$ur3?Muw5zcwYBr188(*0$oCoHh{Vxw?UDay>SE5MLv
zg_0a(6?`%ns6jOrAGTO$eVi!dR+%8hMD&jp*AwwN#9k?)`xOI^*9p75RJ=~?+9WY8
z@j6-uJkLvEIg8i*7$(Nzb@XXz;&l!EW$xid?%0hvGMDw{p~b@{b*L8+$$O!5gJO(9
z&u?u9dlFw?We@o9*H`()MPO!KuBA3}M{4#6&<4T>Lx+6WN&it7-1XaaBgZW_!a;;@
zJB`U!NB6@QCXFd1m*op@G|O3x)BIV-=qVC6wg8qt+L_@sIT^b#LWC6U^)U$Nhb-e(
zd9OW-!YMzZHirmuc0_`-`MKUHI8tV}L!$t%Ssm|?s8C%cgmQ|T>G_;8@Wo5P+}0Lf
zbt+sv$P}((U<CzFZt@RccWUziES_pC(KZ{|eAnY<f-3@!jIc$yY4quqZFN!hL`_Qi
zQR@tymf2#7Hd_Vd?(6nnWwbKpV@J6k2-x~raA|SKzu7;w;z)PlGU&Q}JcZ{<re-rS
zObdHN#Ls8oe+#|z<`2Bn_C`bsVJH_7`BOh614Kj^fCfGlLW%`1Q&`1yF(P79;`+lH
zi@vG!TV7-g5Fyba3XTGP1K<eI`65zc!%T+LWEJ$b<dG7$yV$VCM5^^Nvv4S6Fv9t#
zF!r+(GM2k>RPDiWwCM$S(PFmKo{N%h8*UPXRjJW#RXax@)faqzUAX30=9HIiCs*&}
zm>sY-j3;aHpHinBkLpJ)OiPoUVqL?L@PveRCdy!3I2KO9Mibmxy%v<gP(nLbqEQOZ
z5d(|uhbJi@T(doTX6wi;<Y!hGkAgOmIavhqP_?-r9#%0TIE9Aq#la|0{Sd35l{J2I
z0Tei#%UGncw`qpx@f*b-WB0#2*XYhLjg(bQaV}p&;JK@+mQ1Or%=OT*7eVA)X4ugt
znnddXEo_&yQaM^ryOP;K=EzB47<t;D=_q3{vaP|tCB90PM57-XWb|$c3@6i2In;fB
z80rp$;dIq@=@-C{`XqmCkV%H1cr{3`z%PB)$GvZmaqodfKI21W-%`kZ`=H2W_X}|L
zRqh=i2KwkAbL6;%Ez~xHR9K=Z5Jv#UQtv5&8dTCK4Q&DIwmDvA-?<`_=M~UV3A;>E
zRexmi2IfkLDpzIOW?DD+@AyUwuC|y1Fhgnb;*I1^G>_-A_)A?GlGvtOk5&q=gT)E)
z<_~^s1^tJo`_~Zd|IQ$mTjzR(S_Cb>NoW97l|QV6MH*XpHQxy0NXRAoB8g6b|C`aB
z8*pV^`QHSdyXwG#`BUiFiy&H87<P0OzZ(1}VxII_pXR1X9cymbm1%M+_z_I51Q8Xs
z_!UkcWaQJJ(Qq_h&MA?c34Mp+7&tJemvRi~&`XwjmkchUlAP%xIsxrvLRGB2zFxrW
zIql``QUs093FwtaB+&v73{L$VRV~g48)FBB<snu1U80$kL%kI5@}O~yjS4mlO3?TW
z`G$pQ>(9667n<<MVoh#3gX+pDq(RkzCytbvCWRIcK?|RJB2RGYAv%Uky^`_dx0IQl
z*!K0YQ8*QK_Y$c?Lv4a8(JM(h5v%=vFpz^TF2?Z1D)4<oIqynA%<%5wdV(1ctEHI1
zuS<BGSvV0&#hHbNND|o+XQmB{C(exJEYAE5m>7#Q)2F40GrveA<WU?|+%-NaK6EFU
zwP(5B&>5gb%WyvK^p3zgI5!M0w9G+r#+1{)TsB7?<y0w@>ACr7tCI+Vg3Jt8p37M$
zs3T1~<riIl{2MT!Y8Jc2R(Sm}%>5JDYS~gG3wDo5Qn3xJ{H|ki?M@#i{o(BlpUD_@
zLp+fsFKAw_QI-H<?0PqQM^^(Mb~<L`W~wv!A&_~=;|>A*4Q2rz(pZ+fMq!5^b9u6c
z9TcN)E5E1)Q}j7kii|;~!==d=P*bvRay~N8cyewq4<SL|{>0=*2siV{@8FG#%sc*s
zoR~3mA~`<eJoJcE#Er0grO|JMWv|FR3kGEi>DBm&E?A&Xj)jy13`_RFmn_WauWS!D
zX=^FcwRCu$ODoIC@x3+|yB8vT4E6E3ee{C%_K01vzn9%ch}->K%9ftUk*VK}dgsDf
zVg4++natv<mzDj>_!imr=#Frjcr$XQ&Q#v=a#D$#7FpiZrd%stB}>aG@h19ViE3L)
zm?NL62aQ00mCP9TN$yws2e4<x@Bu98Ias1vOUj)FqYQ_PJ@b1wQLMA+Jw|_S>r36e
zc@mMtFu{omcM~#=aqYP?3@y5nwiy<f7BWxWDtT<1ata{FH-(RAeA16CJJcU%kOXnd
z!~Oy6+`<R2a0`|=xMc)2p^H~oq0TAaGWs$oro=G=IfV@p%qQO<G#aCNG44PJm^h(1
zRx8fc@u!dO&9U+m1z;$bV|9Wbk^yq87=UGjskkoYSY?Y>(ngj+rLX5$ov2*_{W5y^
zmCIsYZTVbJ=XsH$YKB0T)CUV@%^d&-B@?VPqqbP03810{+}V^@8?AJ<tJ}4J9|!<1
zk6U)vfiC7R^p71N=DEN{%El>)&O&YzscSZd%Ni#)0~0R!7SfZtW*9+yC&^`l_FgaK
zn$^1ZswkVUZ8y$?rz@uO(R}m8BcgO-8WVG7@fORj+=P{AA=w~#IkLcbaz`*H@XgpV
zGggT<FXc!8+ARGE{x_AuxbXM?IyRaR`~-SvC~01MrIj63oR7s)?7kWuY#f5?CfN3W
zdsOXq7v|z9YY(@LLKY8G@Oq@agq{9CFlyBBz!7L=P5-(d3P@w;!}M6Bscb`U>d|Y@
zW2`*1?5QC|j&_WnHU>7dzM^?S-o)|!Ptio&Rn>*BRHE3QLC0QHQb1qgF&Avkq0td+
zw$wX2l%*v8(%>eb*US;KwZfGK^WFj^BR%*5{dZASe;Ukg+=)aL^W`-($VsB87}9nZ
zdJTLrqZVOaj8WSrPKDc-{{Y}r)^@Xvm+~Ul<zH#8)?61XQb#h44_$~(GA1{f?M*hP
z_CiT|5}i%w>BG4vriji)Xyo%1s-ly86($s#0eB*G>_s4nj>KM0baKdZh>oS+nL)fG
zk(Y+m2ca>?Di)fb5O??~p$Uz*OObu?_JCe_{2mv^z>w|hsp`<OFMhEUJM!#{=VPOS
zbzHFpNA^KdKij`U-Z6d2$jS@HlX@9QC?+053!hY=0C5B(#6w1K$pnd4mzkb0m|lgA
z!V#_S2?t1!cv~=#gK8X4f<(>&BHi;AqMTPYi5dFE^#n5@R!cF1U)*_ugfPELB}j<<
zlq9kxLE@_*@xF_*v7E(qz5o+raUJ^Pi0d%#v42iH@Fbpw1n}O2uSBAQL~qCgPyBhn
zSaoEusMBKz(_JI*=Wir*^vQ&-zCmDa;BeFRH@3ihUzmZ*<Kmi3`Kqwf{b1Xd%)Nkg
zjjKvFnY2Nmhml~O%7G+b4Cza@&eV93ybsm6?Gg8GTkqwzU;52=>zyfn!OrA9iBdLR
zH|rFa@LiDv!?caCm<%M*VjK6JWzqUkMjWv^h_7;eAe-qYz&R??+}c2m*Z)YiN<V#+
zWy079-)D&qcZk>D(sRr5ra*G}hB`S$&i9d{QopPII!zG>qTCL~Sw@s(HFiUBwk&>m
zl6~eZm&9JE!*)UeZ1>dfwZirW7i{m4`2K|S6DTZyv`8Koyeu|(;Xt$D-3%1JtawS|
zh+m!wjY8v>7x@RU`=a>(mH-Tvs9HyfUuMs`yXntSWw>Nu3!2>;t+VcPjPcxBPBp$f
z@y%=?)t_B|T)7(HI<S$+%(^;<XZO9-Q+`10c;*A-(Gl!)n)45<IGqCV;~9Angt@P-
zez_lVAHsBN%P%Aj9tJmSXb|ykFQDEaqF;^xhH^o~`~8p%5JY4E8u(P0Myyg8k&j?>
z&^np6+{cX}Me{pW-*EFOr%MCxuKctYH4YZ}B%6^E({ty6e9=FEon83=79PYBhaTN6
zO~=8pSz6D2$AISv)wAEq(ZQ`}|J@I$oeq3}yq>*eU=$nKvul4|r{|*aw+P6J^>iNL
zZaqEjpP3KghF-BJd-!Ffgr5F+FQ8sMT?j)tJ^c%QNCwc;3_t^)p?dn<vOCh85-yBP
zyx2Qqhx&aXGzv9ioBjdpT*wEos9!8`sNc+tb?@9utJhZ=<1Jb}lrdxP$l=+oUf=8o
z)Q)F9KwiC`>_nlVKHupdR^jweGuAzFv3krS%&i_D^h54Lm?6$~_2}o}66)~_UO>I-
zu@HuG>hYU?NCr@k3_t^)3e)7x*y6gF3ukl8WG#~)fHQ4rQj_YV^lEW(5?V&=><V`c
zQC7=8axWf`|K3$ARtRql_yxf!q-Gq=VX9ttSG0>fin|Ut%pI2dVL861X8Ij?QM6z5
zWAjKIU_w%X-TW9IHk0z~CqV0(3k>ZmHAngjVuVFOO8PnZfP$LjcpQ_t%r0F_-`SMN
z3wwew6<x7cl7|2WaSY|i4x)m73<cwH4?rbA%SPzS7rIMFJMnC-J=0G<gS{#*dnczt
z({v1q=|cLHM;>ee@7t=KR{zfAVdx=Q39VRq4f0v?2==--<S@_4#B%X1ldvJTQm)bJ
z6_IjrQo0)Cq3`GB3Bk=)d9iTmMKBiU(h$e)#aLYloGga>E}&`ZJ*bf@5BFUOO^3sM
z_DOTDN+xl-{Q5S67F5kj<uV|4Nl;$DWGdU9AvB@(yb1>aoC3+O5Q;V3y$4cw4#usx
zQ|;mHHqVa__x7^qZ#q#G-f&V0{G94^+>ATCoIll_<#Z0EFX<&s4j{ba$%{GIB3|ew
zBw`be-YqK`wG!>LXSW)?Miq0gw5z?N_H+`@^kkB4VZ995ZHDZ*vdB)F*ka4ItASDq
ztdoMl*vef$4evGD3hOAGUesi7EN;PFeQ~#s%lrQHCiVc>AV&vPMwQWEd1~<5vP+|_
zyGaI}9^sYK2F^R$u9Ngml7e-f)A!Hvw61jGx%Q!Ws@CXMr<-wY3SVsB72!Mga4-Fy
zYO~8uIpT#`e9xJM1;HAaZ+GM!Q{t;+R<cjt=;c)ZF~--+w#$%WSqSs=Vj>Xk70-8Q
zlZp}^JIOW->ll(Gt%W)%-zUjY;;7@hpi!ug<w5@d_N^=*z~W=U64f|Sa4~`$&gL#n
zf35-{8IB6|x&MXHmwR<n&0<d&kPV``0>~OxqJVPm^(g4<&k`DqQSBRcKSD}u*uUqU
zvv<Q@2!pm^UqgyUup<Aa<Nv3ASO(a#GZ5XDnYv~F9UJy7+k4!yXG$x%4}s1fUsLYF
zurME~T7B}TT&Od$!3GK-q0C2v1T)`e7~i)q<fszoscaa?@SMB`u(C8x3z8V}TcqQj
zMNi!R&FMpXth+dWSsfaR9e(xmXw8#XSKtN3^aviym_kc@zTE?33CzCc5%@eG!KKCQ
zYHhkjn@1w0?Kiv*CC?;RAis<!mj|;Ax5$$_iD3yLPv?z&bcbdM&q);cgPcUk^%>2T
z%P>55O5F%UvZTbD@Dp8yL7&W|L}toOaBvrM6~^=N-Lm0ZvCkfg6^pPrZP?<=E`H4_
z0yJTIT@^0jvF92(opH7ftvQTfEz0CVeAmcoK7ty=`7xIm`yyGGOvkpDfBmN8t+H+U
z*=3Ms$X<G8d3l-Pc<U2LM<P^3F+r~#;^4gVEP*ZHJ>FMK3YV}(UkQyut<k=J0J}BH
z2e4S9SmLlohm_BZl9V?nhSRw&nfDuWS+qei93X=Yn)eVJ7*N}-X+}_eDN{Wos+o8P
zb*sq87E6MXq8oE;ADC<Oupj;QiF}R$7nE!Cn128}>+=CDtdAuQ*58=r8X;mhM)F*o
zg`0Iw{E^YMLDTZ4aW+seH$9%itUJ6ta*>V-17163`2cyWu$_dCkrVtQl*b4gWD(e4
zR5e`Xw8Ed|ht-D-Ln6IA?_kLiTj9&RfO@yWez5=;w5>3^=|UJqmP^I2_d_zkMwkI;
z;8S6fyoM{TiyPt01WRs5DILN_xaFO^s+N~#Bb>naz73JF5w>9<!(B29SXuIo@X0o#
zotcxk>w`NfIdy2)SLf=~x(!z2`j_u%z*d)T4FM}Y?!>K`IGT=ox5aRi!})NR!`yrW
zLQw44o=yyBzgkqAxs2uRcd^|_)tB^<HO7<Q2<8wGg<4MA1ES#@I0}G<OMm0Yd&}Tk
z9H4y{Hj;b?5;c??M{c4GNmQ{hJi8Ww#Y-h~Mzg@f7)&+Tm~Nx*)f?c~X~m3HjmM?}
zwkLlQj2QK#|LdVumJosdl{4XxCh+wiLjmOg<nJ57BF(xo>;&Vg1RHwD?1BZ_9{rX=
zMr-z?#&CuOqbwW<{-q53uMqg|s;as!b<4=tpkprr=^Ty3Uhb-d9P%7jC0OcR#9eu1
z`AMQP9kd6|4=T~KWyK8LGCen*e7t}JNG*Py!pEqp{|=I;^Q{eg$&KVo`~o+RH0I{3
z@USfkRwwQ*G<)PD6>`R`eElk)z^%{mPt%#*%~D>j5Ms3fx^svX7O5CEx7NB?F(X;n
zZ5AK?Sw?qmz!kAMoxpQfRmCRx0Z`4Ba77te_3u&LUbS;D?)8(ip<^$CNNgl_a$=K1
zjzerL^|pnxNhT>J8i8<_qZSLtx&lP!gu~mVxNGDi0V2n*!oVfbJjJitvk1T_)1_}`
z(m4j-^z4mFvO)PRl`p$+u9V*;T1lVZT8c6GT_bgDRIq|8QIk{9)ys{<_AIFdt~}*C
zG`=bl;M7+O2>-G&bD;|=jsy^%lL+TLWD=FUt>mp`rYDT8w_u}iQYnheup_`eu=yK4
z5De6y+KLZbtgn8LDCAa`AVfs;_Z8O@w~`?CN)g?!82GIu!bBIja{fj<#3uG;l9>5x
zKiC@J39;cC!9r|*3ln1@Hu~fUvGFL=plM<?{ps7G1=?7!RVIz?8%7|@d?LC&dR?zy
zMV8qCnnmQy35xk{2)WT_VjJDlJ2u<FbZpHwAmIuP27Y@y<Xu@Wm*=k0?2?WRgaw8K
z`AUlZqg0%v>3<3&S1lU1pa_=_K9uq=vei+Sgry!HF!0as?Z}eZHtMV@c0}gSI!2GV
z*oRSngfhcxvJShUG`=jhN5NSigK&PxPD78N6fn56K$`L+s&A~JPa*P7!EtczRA?07
z2dm?$?I%-RB`9)=o9X$SGVnc5abl(_dx7)fL8fp411l&Tvd2Gw-A&C0u=t*_M3qA&
zFKxY|2skprR^b;JeY#~^U4?!5X|#t4_WIw<&}o@1mT0q8Q0~6Lx@)vD=3_^>9|+jz
zS#W7_vHz-nY{kRj!e!76)_C~EmF~x8VweT?7>A$Fz_%89&BQyr)Aq(V3SlT0<M^;2
zk^y2I3_t^)3L(XUmnp2`x)|fIDRKR-`bFRV_hm0K)IFk$8}+@vao1n4gg*js1n7K`
z1ZcxdhSTK7U{x%6?Bk38Lrf$CE;HkXA_4!*O}D~m&d$BnPB)G)nXxgw02jp1cG`1M
z(rv@-d|;V2+O2BmNYrS7XOEH?nU%3QE!|Gq9?8EWTf?=m!Q9O@Z%5zR4ZjgebovQL
z!V?m)Irb8LJvLTWMJb}siTitw!A29@P`wuPz)&JKSE4=29LW3Oibx2>Y>%GVI&uqn
zlNH7@p9jV)Tga+i5bqQi(V0S<w-Ss3)#vbIpprE<b0&1>a3W)oX8afyNJ%I1Wkz>?
z+VR-SE&|V8Rb4hp#a^BP9eWW(PGp81ZK6rE9?-%PKUXRzT4|Sh(;#!?B=BN)l(Cr5
zUE-@$Ni_QGAfwNez;N<Bs2u91uS4B|Fr2R1E?olnQJ>@;gG@36#j8Pj1%BzXKJFU^
z88?MSKD$F@-%`kZ<Dkf8r+hj4DyM&mf!;gF964@b_q5F*6_#iU#1Uw*)O$*x29-2Q
zLtDVQZH||jcCPs2)&e@>YQy7?Td1l({&)lPB1Dy|GS?Zc8~k^C@&H{r7~f|J?c&Tv
zCz`LqBRBlvn+!>8zpY0lgZvL)F=*sgwO&~kG0DHA*@L$|AL_><jT^iQZv;^z#F2fG
zv?gBtp3$8fa3l_2PX3<2b5|W$9={JAdl5v-3B!)IoTRJ4bt>jbpY>_3+@)j94ZAW;
zP6a=L$$21xz7|iy34@G$95fn^!ppfKl9QnCP#j~zrm2o{4CqitmU@>AE|`*>=^{D-
zrDZ}@th633VD_BS@^&fW!s7wG@}MIc-huI_F{(PWHz;l{#k+i;a3eM<*e57);WOj~
z0H%o#2j>==@Kjk%rV0kt%{V2fI`BlJ%rq%_I14R&@`*gbsfXwoGWAM^j9*h`dSbWt
zE7&NUii>t}-4hJtpo@#)^eR??cN68jD+Mvbn~UoSW<ac#Vg|o1;h|*VI}m|Me<L1B
z7LFlFWJ@TS_9>oFGM2MY@*^-Y7D}d1OA|`|MUibskyHMqGbuiFCrh1LL|bq^?(~kp
zYZA{HO7xfm;ykaJettO|LzJ^Dx^(1JtLs%Zhs{%^o`tg4335m?PWeUZbY`;xv#BPq
zTSSFVAA{K6maUc}9kM9)n2KRA;N*85iT^6mVLLnNk6UM`O#TJCAx_9hspJoBPDfd0
zgR!R_efr`^n2nn$yW|@H%aR8a{9FwSKc1&pZX8A~>c8b2V+|!J7Twn8WoJD&FGf7$
zk11$r&jr+!Oq-mJECV;d2XhY60`3?~{ui+*O<{sJF0$SD8YyNBok%{<_)WRdV69MI
z`n`(mp{1w6plp@A7(cxZ5;PO~<X9y+z>B%l;Kllb!9z>B8gjao4yAM5EWYR9fOV<S
zyI0?5+85(RX4~Oz4tyqQFT3i>nsUW6vY2D2o@v>QdgsFRVE!!Gmlm!Yyu9nzxzCkt
zkM1y~i8mwX=}hJI8z+@GHL|>?O}SRQN|r`c;+^2SM73>cbmT+Tpb<oXl*|_QI}V5Z
z1K2ZL_yCsl8Z1%mAtjk;l;M!Er{Tx~+dvfSY?>PVx$P@;FXl-k62k;18oZW}X^d;n
zePL+PwX&KKAxuC_>o`E&DtTy|ata{FH-*>Ef549|JJi3&APM4@Kk^S?=N3MIg<G)1
z!7U@G30=Ix3UyBTveB18F(r^3$SG`)U_N<-&}fY6#kd0@VAF)=Nd1#{&fXj;KT!aN
zaye3~F4ZZi;~^O!M~VShMwp80Vvba{cqLPaK2-X8j?{^2j)cDG=GB(&ZPHnCs~0J%
zW(Z_SeXwBGoB%i|BVeT&dc_h=02M9Z&W60$Xr&XoZr1{SAcC_Yuknu^Am+I+M9OYC
zD2dKOZWF0zHipX@CszX#F8NN;o_c23KYYW;#ey~|*Kh@6-Djx>@VDJK4}PmyJ4?mV
zw&;{4Cf3YClvAY0z<OVzg_Npf9;rW`w1Sy{Z@iY7ol3O1l_LRYv-Ah+UsVR<!g2p{
zY&0SG2~^Nf(zNzU13RiXUsj~pdo?=PI0P3!u&w^~sM_r=%*9dG9-jM!EF5NM>5=vl
zCi-s&qek`fH=va@ee11I;7H%XB28Nx%aI<2_PkukW5k{sQsii}_#tCpL*Xk*7vxPu
z=KmW_#9dWg^GYRpeFQr8qLL!>5|6p4aSn}+sIjHq*`X{Y@s|cS0lj99m@N~oG?up%
zAQ|bw(^&dc)t|<)8#f_Q#e6IXZE=z)Du%S%g<b=%k*`IV*J9MRiBsXu<p%(q%Gz$W
z@lswSt$df}3ad;$X$6bak<3#Vx)7aYOpacvX4?|DpTb%wNl&7)@-lrm_rw&@`9B1{
zyQ(TW$!DQ*Xa?VEfX0hJ5*>-Xoap3`=MWuBy)%P&M<Oo`s}DkBj#Vr)-!4FJPH4Pc
ziZqHh2K34U@whMs#$IoyszXbocvdNP<Y^RFVWWa|TyeUO?2DV(O{(-IBP%Z)Pi`&)
z2?e)rgce2Ka*kkxc*qDYndxw-%=Co8)Wt^Oh}O4*w5S^v0cb$Ik|YEvr`H7oIjF`l
zhA-AVuOZ60RUgPEF~hGE*Atlzh}BZe;1_qE=^)JSQkf27KP8E5$#nQENPOzabii^J
z!}(*F7>nW1Cr1p2Igb5v;z1_yjv9cs8sC*g--zC@!YnoZpjNE<Fj$1?^9a*j7+3lW
z2_1bhp{sAmW3E!aG<`C&)_3r5-41zo8^p8tGccl#NTHQi9(DWG`q^;5<F;Gq9Mv)P
z@%n1E*4MYgYcs2S+9Mt9wih}xalgJDd2D66ab}?d7s>Ue`0v-H8^kZoMl0@Lm#*!`
zJ$(MC+fO&aJ7j1SbtmDhQVVWeul3W>o9IwT|4n^<G0Jh*rR(^kN$n1_Ux!=fZm&8w
z4`0@^VWyz(TjA?5{Odxe3Ez(GwP&WLt24J^DGav;-@iH1PfwU_w|gzP;aw@bc4c~O
z7vA$}EzC_F2K#KT55H{0(+2ZXfXq2)+J!F1*)Q-i6a6xUDQ{DBh992Qff0FwCTyDM
zhYjqmys2h<C~o$zU6meFuQq$)>zZ^^e7FI)>Q#FS-R##jwRn2rAoRBpA6f%kL5)sa
zor7Q2^*Ys=7$?<#ZMw11nqTNm!M%NL%#rS=>lS*mJ1*YQZNTSK^}?yR(`k36>TvD`
z?(_pZBdCyCoF3O+=;^(zp<epwgi&I2k^B^RHQmVi&0r9%Pt^;I#_91mhb|zh4k&8E
zocigp&1&o5LiJz_7_Y(iRdK7Ip4f?J+MU`|EuIJdfMM_fqw7+U)D0ME)Zop*c(!pE
z;*aUZ>O!wQmHm{iY5-FmTU(f$pOTCRh@~IkFkIYe!2>za;c@f}V7Jvp@@GHIcjJXx
zd+P8UvefbM;rVtqo>E&9m(2904mG-s9<k_g;w>JS2;L0=4abB))VHS_U@~100eA(h
z-GZ`Xd9|roxNZ?&XG%BYCm5s)=}k}vC`>Q=0Lj;Ps<+9nz@nQ_s(^D^2Z0frjk!jz
zf6a>j^^-N}#`$=D3eduC?7``5z+a}}DaR=kk2I?Hdh^{~J9pl8+ijEcM|$;kYqH%r
zxU&`?+6gtgJNxOAumynvEv9<$91yApgjox}?>Ot+3jnhlJF_#!F!)P0%&B6S9&CrY
zla07HOT*NAb4?gxU9UO~QdH~J``4~bCx9pCrlfdE@Ta<P6<OTBGd;e0q}8h)o~kzv
z)|>D@@b5^ojjX?+J6G-Wre3lDa@_?)ok-u=*QsWErpi$}F;j<=12aH)CU1acLLs!i
zbzvTc*a%9g*XRNMnI5<kxTihSXw3o-2*q#$s*3Kyv|jJ{cy1b=U+VUbz*zMd?&!KR
zebNjZV7PTEo~t&RQ`K4xZc;<d@Y-~B+&a{Ul_FisR0PN*uoqrt2n^qwVwZdoGi-u^
zfL(f^DS;Jg@ocw$J18;j*A{vS@n`65R(^rkoMsy}`h5(4WS^72!Zqeg@TZ%u!=LeT
zF|0%d*LCY#;aUbNht=lN`nq(K-#8{!GG5t$M`z?qW0#UIR$bT9HI43EyVid#ZVN8I
z94)l;fuk#X4z3qLmmwg5J>+*weKt8~HK6WX{PSD5THl9%R;__QWB6z182q^a|2(t~
z{(KVuJh%b=d>sGWa2))(3IE)CJp6el{u$i_f7aulZ{eTs;-BMBf<I5fKR??He^&h*
z{CVTa@aH%2&-PQ{&w2Rg@C5w19sj)hH28Br{`rm5;m_Up=co8*#ToGD4QIihKK^-X
z1^(>BKZmx#pO@mFRomgu82<U;B>eda{<(Q4{J91H;N!IPfNg>=zR<fkbmc8w3`_^W
z>G(WlZc&0BdFClxw2&UF3Nmrwu`>-=>X40rGubbwuSGq^?&>eB9%w`m{JH6NQ|bn)
zdXn*@ti4X_ah({I8l9l^4@)n+eg=y4NoHTXWJP)mtR^$<1zaoo>3T4<njoMs2e2r{
zcJtrg1mg3n{pW!`gmX!tVL=+Zu#m9<<)Whfyk7oHqQAb;nrSZ7K$o`<;u3I74c9%s
JL@*AV{J#Ws6{-LL

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.data_labeler_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.data_labeler_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..aad0c9d6e72bf68dedebc5adba0b49464ea9618d
GIT binary patch
literal 66421
zcmd^oYm_8cdDuSYu`|0n`;fFCjaIY}LbI?tYXn#@LP$ajinP*drPb5Rrm5+!nX0?}
zqN;j#2T2Ev0ZS*9*vYnRW0MELMwWui$$@Z)!7=7=u(2>0WDCoZbAn?`AOs&nOz??+
z<omw+sC%n!Raf`);Lzx3d+Ko?-~HbA`|iE<uF1zHHf`R7|HZq)j_0?|Ejsmjt6g`)
zUc9Z|u63JkE9#x^9r)Sa!@Y%gCUDM%?QT$Wd+{bHQS<ypJ#bsSQ@wZ&i${JVTom=E
zL$?<B?Ut(UO?p$_^r_y0Hxo}re$;TaSMmH2CvqycIm>Rt4JtRa8{KBBay)3S_)re3
zL9L0q-E#;|apCv&2wLdwf_SRq0DMu;+Y`@J)quRM@st?Hv3R24x7^;b?y?ilI#Cq(
z%iRdZkK^6y*FzlJbgkipAv}cZ$(GaPSKI2{PI9yC)J_NP3YO`{(~+}^uX^4tZ{FMC
zUFvQ1_Q%2DdqOt|51$TOuCsi&_Nr<pXfwc4c=(PJ)xhnv!^4OLG3wwj0306XfF7>H
z3n-502o~i<xQLId4UV;Hjj)ETVzI>_gn?gnbW3;H+Z0dwt-5<o!#F2~_YxSWcR8T<
z3ix*={JRSN9l${Y-U6S7x)4uv96#vAOU-t@+i<U~3=T~%em$>zXo$Mr)Ul}NbiG%4
zhctYCd{BI@xK7j!-0E`Rv}&G#(!&a+^f(WtowX$-3LvJnT4}Egg9o6<W}wJSJOjMx
ztOicU)2I?(eN(#?Iesgw5Ytsw+5!FJ@L{)zzltDv1xUWg#be)4RTE*k2{3yj=hS1~
zWhf81yn%$c9vJ$^mjIHBfDnsZxk>GmJ7`lNra~YEXr}m%BR~$JwuIJN;FR-QL$Jqz
zUVLP50a?rd(X)ySCoE`#2~hDhjqRjn-UNCa-c&;$^cTvCRwlkV)5`)XxupuoL*=2$
zv3AQnSZQ}q>4!@dt?(WES>-w^bAb4D0if7LeL1aGJ91K{BA((%l)No(6Mmfn8aB%D
zYdmwV*;ooY4jQg)oxlY(e8%k|8#8ESMd;_x|2XOs8|hJc0lhmodcmTjDUw#)n~YyQ
z1cymN3{}^p+B@^9wh(Uz);k0wBADZyI0WJZx_5O8<-Nmu5J~uOLPGB$(p)h185(<f
z;CnQt<iaY4WqD%){V$7v-iAPPh__+K`M~~y4cNT|ESiI+8@WNl2g9wA>owTipi-uU
zj0?1CTyJ=Hx?xp`@QzxbN<-0rnV<*cknM~4jftp_<|8WJ-0C?x36XqH0Y;u6e!Y;;
zfSq=_ty<L0=!DHnl3Z|Q_WGHkUOU-d|BL8#U%a`JYU&BSDet$Wd5C8dHK*{jqvN*f
zU<s<{!1vQoE1au+@m8pmYX3RC{d^+}-nP3^Z#Tgg=*3$)Yv7T=gJ`V-I&6|eqDMs{
zCs=i(9`6a9iZ$V+_2R1s7jsmPYfHTKV@RE^0iK=#>R9mfj6M$UcNLyCKcuMiP-^Jk
z*Q=z4{&a>jkVbiZ14w@+dsN7tKoewk$tGcfQ_!pK@oEV7zNuk*YkQfQxaJ+{$oBqM
z4(43bq4@30C<Xtg%4u*(J@+`E<3lj+-<0EyU)tZ;3QkS9cv{qvG*b75Jh21CXtNH3
zT?v%{K#di01(sb?+<}!FWCvMhq&GU5HM!lZDShFI@WE#p$X3+E%k9NrYh=^qS7#^h
zTZY)$y6nqX>=wdwN`eZBl7llK*QR)nQoQYs8#qxr&{SEx`8vrfaAjhnQHYIrb33DW
z8N({`eJBY~&BRlFi>Btf@gV`1#>XP<KU)kCn6(wB+lZ=XoJQ9*fr~E)yPZxuh^k@J
z38J@m+ZYCT6qF!)rw(&zLG54ggCNnu`4pauR_Bz1Q*sDGfI;km@c|D5^bkY~dWIJi
zPw{E>aO&RsmNyk|Tj@3$+^nBRonQC%BREGl19%P!6)_3-CTlP|)nh_(+O*)^pwv?H
zO%4Q0mMYwiEWItq3@t;cRLCL-7qKpP&5ny`$J^doIVqdcM41<Q8$>H8rnE1f7TqR1
znmhuIdn&~miT#NGiEMtoka9tpiKiPr_;F4{6C?IX>>uM;`{L`@*-tV;Fn#mv)2We}
zY5{^b<eYFH0?hj%Zr%+pLN5Pp&gGwgKSh)Oc#8az+Hee~Yen|^(3NIqrB|~ZI&jZ*
z8h*`>dXG|pvrf>0OU=7sAI8dwx8j{Q)atrX%$=Y8@%T&%QJzT(K%Bub-BdZ5@KL-K
zgsfLAC6`Dk$qFIyJ^K_;L@ELH4Y(2P-fwQjzKLZiMrw;ZEwIlcsmTTI&%Xa1%9dhZ
z_6)YF`F!ke@j=$f&SgjT98@4aWPc7<-g)*swqO~qU?%n#Sd0{FLWs?$G%~=Ag$SBe
zNJVL}VTi=(4L^x}aHXB7<m*m!mobKoG0UumEgN85XDiBgV7s>fjPq;`|K!p=JyFDn
z<CsaKl~%92rR7Jy)9~NnQV@+NMJh=E7(>D^t?a@SIdJO~WDMOXRB_<p8%QYh5>BE0
zgHniHiZw1fx)sQ)jcz8MUGd#Uy_$+`h^ZSSgy^+qFZmnH6^WYZK*a2E87~Q?f2u!H
zLm?A+%^>4oujPZk8vk%t2&Xj)lI3=NEdwdM-o6ZelpEQ{h$ET7(O1DWXlAP?vbu;P
ztt_0NB*THqp+gmV0FqndS+Qjo(*Po2Q5XIXL~e!CQ3c*;w^p?-M4U$Y&4fu4KR;6%
zKQXGqu;bSJ6~ESdB%=e-lenMb?{4@*wq{FZA<=O}4}7Ide&UP?j@T6MmcwzI9nT5<
zP#@3~$Brbtyfp_Eq&hMEqLg}J9S(GpfX*+fTMTZKEcSt-H0DH)MbI$w;KzzH474zX
zu+0bh;cH(!S^3L%olnKCs09PB`{Mn@+@ny|ub_ZWZ@r&gnrC<R!6tIc9Z&`uzm1Br
z<M2m15rP*I(YQ$jFDeU~4<hFDBq`#W3|i#5nOqqpmASmI2ef`-6$B9?qV5%Th-?1?
zLR!jR<r7*8$Ky0yaKy60fv@y#(!#;suETB%Ac$euUYR5MOscDVzDG(45&0bgJ-?_f
zBJAg(FzJkxM{g66&qCRJ%#nyFv}HsjgS8wHv6Q=_4BIHg#ifb^N2h!0FD}2{2eTP*
zDQuG63e5o=H<xJj&Acd@yzX*wt3Sny9xBo5D|u1r2zdKN0&+1W;iVQKcqij~kZURn
zIn!r+oR_%Q^aT$bRMc7zNV(oJiWV0+OY2J&lnbOr{x);u3!W<<#QQQZiWVup@r$b5
z1n-B368MecO;S^rZ8i0WDX9zI2fTl6O#Wqn8FEwX5>+>TdOXsh0*RCpJ*|*9ca_d9
zS4l@=59Fv*Z%o`CQuwh=Rdt_2VihvX8dljsYyg2tgp6GT&v>+t{X3Ywu@AzJK_T`V
z@MNfb4g~nlv&XS^9(#dK!HD0uk(;6&FA~)1F0&^92a@{2ugKFnsAYc>iUZ+f12Dz5
z5RM0EDKIgk)JZx#D^hsuIKTpq#xf)EWq0B&C5yHD=~kOB)55T`S0yJv%%j$;I^P<3
zf$P+(p|i3P8ua*RG-v{&xqxLLMY`XjNcDzO`gFU78L0=1XQl>d37(QFeGu)+RNeTi
z<Dy-4%%+s=#B#gc;Qlr`x=ZQV%EJmB!Y{~X<aiS%1>T#gW>P@c!MZ0}kb~o$6i1g)
zAaRa{Fzd=Yy>3!h`w6+(LkM$9?Yr=7!_|HtVUXH?JlT<qz^Y)Ep^boS0E~czj3tZ!
zy9YpEAH$z}@#o|CbDz4pAFf8P@LRZK8M2w~+q+H!@@%k9g;wS*92k)U9pa+BS_PIY
zdF?tl(Qh4z3CMwZ9p>QAv*sYD6Pj4a8N|{Mt2eWY@eWcevdybU(<p>G-bhO+g>FsU
z+G#-)X~)#PsX_k;I8Ki+<ZDn}oqa*oivR1FSg#yLfMxTzgff|Py(qUJpN8eWH}U?0
z!k}&TP&_kBu+N^yW(dN6FJ0RBag;vEXQN@W4dGqEvdJQ*yG9SV=;OB(a(3u_NZBwS
znuPjZA)!3`N}KOOCE%J;%bzw)6iT3d`IG3tvXlqk=mM=Re;Uzpa^&-@dp4TJP2BG*
zM$O<$tVRQ5Irnfc0G~-e7qLqc2FUXyVcj45HfOCwYEI}JJtDJ`5u2SxCsJ-wPfg;z
zzL<D+OuUwmR!(qkF7CiCIHCiK;NY8a5u8)0vE*CzlJlY;rQke3Jdgsph+PH|oc?8D
zDIT+0Sh<ZNa3R~?GLn#d6)@#mvYOGh7Wt8N6Np`ip*&o)BA0z<mm+6ZM#;JBdu%w?
z^r>+6*t-!<J3bOjvd@7|+VJV?fg|bdRf~D9n4HRvzi&#@+RqD<Z=Kfa%Q0_!b1Q^}
zB1SGWta#2Dw}L6s5LX+}df0HWa+l+WZp94(SYpzKx4~JsR|`u<(2}wi?4z8?o+>R9
zNMBq7^b<ngCk0}Fz6T+VCVg2RyIx?gvON1~?OCiZh7tK-{gEOBrHnp12o>b|nBT=p
z`^9YJD7ZcBEgAqEP<Ax)XrVaA|I@nDVI=x_;*RqCD?V&)Hm26xc`?)ariU+(U_La_
z@E4`gpr@%HhgxC<An>S6@IMDnb5_6LE5qqXnGZ9;Z&^<$hGKbRj^}%+j#B1TQ~e0I
zNbmm*0iIt}cOC{>0rS71;e5PNbX6fOlittZEGNBhDYw_cEecPu?JXF;bUTUROZ(|u
zFU_-O```^xEY`X_Lq&__;B~qjT%9KfaL58g_WDXf%4Zk+lX|LfLMq{vlO~hqGeka3
zr7T<pZRN-UzWR~K!VRg8^2eje!gU0Aeo<W(*fbO_yVT`PP&OZLBnt{@8Cl5SEJqeB
z<u0%>j3PYjfwA$^JWIFKUm9N42Xh%|C~Q(LW%=V0GA5R?pmi!r)F1$2Da)t1IQBKE
z(|3tUfRG<`uMkL*^FA25&eHkpgD{B2ray<3`WRDfkBv6>fNi+uPAG8?O6->hfdrhZ
zdDbgIHi2M-cpwB9Q&_GQ0$S+EE3PEc^wJkr2sGALP=<y}=M>LYm^pf$o|%T>@bt{@
z;T5H4=xSrqGj8CXfx}>29<r@AolXZ=^^Rt36RZt}jeOA>WMzH^&4^elT=w9Y?3~LA
zY;H~_eql_~13AN{(0jp3uB%ETkd`7O>6;lzxQYz6X-`Zg^E@!AE+_d)Mo-~<P1X8|
zpiz>*xhRK}Jbjb%*2MU?748O4-XwTu-@;~ygA%$=)P303DXhvAWN+}+?EQy@z3Yn}
z?DS6hO*AU|3N*UmA)M0E0M?LJqK&)upzzI~2zpw>H=3c}&wY-H;9q|5Q$?5y6`AQ%
zO0g2Va0<9@p6$gyrB<>dQE-RZGsLz8`Yus9ljlgyCxvmABZWp3?<YK{EuVmsdAQlK
zndbx0DL2orz$-G(bd_VC1;Cib9d@;G9S&p*{pE&RO{QYu=q>aEBeBpnSo00^^J8M5
z?W68zpI@G}&-R9fH_t~(3z)91Z&0=3p8yIa*7?F*^uxMA`%9(LXv%d$A#QNnoFJXu
zh0UaFGi};C347}JNdo}T_N5AL<m1mwIGjQ_@~pHCf<!~IC1`ZRt#nzLkVbmU`I8LY
zb%L7xZ1knVMoTW%QZ31@+~Putjo8E3={$R|G$%<5{RXVTH<zDNfagyOpqgCeF2@NL
zT1h~{e`PK7zk*J=g+7m0WTELQ&q8y6*JGh!2XO0jwGP5a$F{=3gQGXk_m0FoX8_H&
z&3`r~w%Ib|eunvqtYNmaGQ3rOO2~zM?S7tmenQoX$DKBbN#0{eJeWVr8>PL-7=K#f
zYj9(n;F^63n@JhtIh+}z;XPRKTamKJyZMw^dtpNKhlLRJr+WfRq88bQpwSIC%cUej
z+T?NOPBO?J7If@qkS~^#W-t#BOi9dxnlKlXP^`oL8oQfke^r`$q$&Oltiet3*A>X6
zOtBmxm}15M3D1=^#s3#N<)-)_@QO?^UFDf#4)A(RaW(8V;pA}_1r!ee9=##HdnAT9
z1!le(es)aEaAv^$jPT`IBb;etcoV#D8bqU1<Vl|x?^U(p@uo{+fOpxD4(2!WT<I$^
zzE>(t4Q_lBEVGwkGb!V{v(;^O))rfJCkUK18Lr;7R572M@VvSZo;=fQgCtRdYzH*D
z;ik8Q97w}EzC6hTzJiAR%<k?J-6ot%q-=n)w%HeoN!T6O_&mG4G@nQ#JBKy6k-b#`
zSjx!mQhg<So^V%LBU^`7xRG`7ii|8><r!HH@Oq3aC3AVkc=Y!5j*-|`Y=lFYZ(6@H
zCZ<&%Yd@=cY1XRh)rU8z?^MieQ}}rb_CZxE9$RW8wsbayYA~bvBc+VUg8mDI8XH23
zH|Zs4W&a$TNm<bJ5%K`X4*g*NRL=JUg^=_oZ3080-B=eI-EiAk%<a-_jwR=j#XKh{
zXSJC6;{4miOcfcF=XS%&S<kO|m1P%JIIsA8m2(CD!XbE-&~;lCJUF>tfmo-eQYu||
zrtIyATUGMGK8fR+XP+p|n9^9E#TwjLe@x*<OLKn;$08BX?84BO-O5=%f{&8XE`_Gw
z@|)ycw3nS_AI=6`o2~mRE3k~Jg@<M0!KS#IA!>J|2Ld>vZ4HZ+TUILYi5X~Wwc>}B
zW*as`M4r={m5pL0`k)f80I{VAwneOk__x;XHtJZtQpay|Ko!1iA|aT<`j7P(5*mM=
z)A)14(io5aOlX{F9`vhpodv8R6A)5dAnKvirde@8p8s30MBsUVm^)-I;1xM!bd~3j
zai(04LsoUpz}HF=k9YK5*=V93DKPV0vvHZpWCq;NKeNpCGHnd+r2U|@FzHc`@2Og2
z6ZOd8l<1OpYP&K80O=U@NIzHlihQ=oZD3w<qe{g-TY_aafz70RwihKShm}U#iB5@6
zoyqve#d_|+EMdZUK_QH~X0-D_0$rjS*>`|NHr$&lAsf=A8(;lFe%;>)iM0B4nmhCA
z8)0#`v+7oyMgw<Pb{ej9ODH&wM|isqczG5#VyL=`)!1QVvw3!?G`C3??YlTO?xMXy
zR4%!~Phthkx00ZQN6W@jjzFi}e7_m5$b8dPp84hgug84X$?L;Uui`fW;k%odx){9;
zAI%Cs8?5<;d|cM&*hk&Znp;*g*&7<(q*qG|n6A!Gs#;^S!q1M_lwH5jUWyxc`%9(L
z$ilZ2;s%e(BuHmXY-Xb@{6mE>=2>_fbcyz4_duf?ZsE(yi!}3Nu3gC1-!G_Xwe@-o
z=Z3qa{SZ-vm39~Q<Z96iwDRzYjwEt}i)%1G(T*S}p#li&Z%D}u`xS(Kp8Zm3mXvP5
zeOQCL0p}G4G}q?d`#gw2LCB<f`np#ggg^>}RN(*62PbEZVleuG3;B_38QLM#%w|!e
zaIjI$Cz$y#$IPz}iy4e>B$!DgwIIGBSqU5@rGU(eW#Sv30*JYT^l7{z2Z^ro93)Q4
z^*BiPiJgO^_la&pnOOI}MA1OL8}y|yNj0f~_Vau$J_2~X%~^IEZom)BSX6a~cXpmF
zEiAgT^Ho(V9#1+Xaf@jk$q=tl_e$@O7xN8;k-@!~1e@%yu$hz>Q(_O{_X~T^^G|I3
zCd!L_5gOfa|D=GcrAsn?97bNqmj%tNUWjIvFBgd<Oo9krlsOUp*(haUOO#Yh%XZC>
z8?h7r<i^)@&XI1!mxx7a2(zMc$!LNcF&In5=Lx@+jV8PdI_1XlO1vUtNmqHsk^{UR
zV_AprV7<B$w41Ocp%#topk?}AXL8Om9sMXsJp7J+6V_Y<%GH!tu-W~-tidtcrXvjw
zLL#lT;;-^xsR*IM$2Rcf3Odd>(+b5`7rbPX^bW!UKfpolk2fDGz9nV*#?nly8?7Z(
zEB@0laUM*1WDYl;OTXu{^7La9xwk7c4Q|O26tml~8M0)_QN|P$En*nK8p&y>6X;Cx
zfP8Z3ul5j*NTCwu5Nd@($T{S<3YCf!nPeqAwe=*G)jrsMNxl$>F(u$n@v?kW`(k-(
z4&lLJhH#dHRqCALM~geKAGazxupGCFZ*)7Nom0FWb*7$MS+JZp%$*z)2mdzJX8saD
z{j{c{&p{w0y>jRM{u;-nWvKYZ7^;Tvha^=uKa^VX^NCcg)L`uRE(QX2z^Bfa1OGI2
zWDx1gKPc{7+ufgs$n_mh%7<Z^`Wz`N<}mP;PHUh0Df)u_Hwwqh&O$Rz%Ds`Fu<r}Q
zyL1?e4s0Uq|DR$=;xr`vzgN!zOyN_bVpdi4FN^2o+SE7uIXJgTo>6K01Tr0NlI6p`
zM;Pv#HN_|;5ZZ9^n9}?Xrwz7pqP`a(DWUo0>A5y6CHQ5p1#)lrv`JqfCV~MeTQ6r%
zW9#bB4CERiTh>XG9?Cro9~FiJaMj1WD(KBuSO{4`GzyR%bb>Y9df0}gc#Rb`ry97P
zGGXjGWbk=*ZD~FiGpzCTPKji%6Zim<ZT#`K#|J^aJhAU~th8Tvup>ME_D$%hLbw&U
z4Y#vGdf;H?#@5;?I`&rMK@6cMd>U39$T)~ooVhD$9);W289rSa1^Tg-uZ3FKqi<K?
zY0hz<_{#8#QYOJX`qqeP*?hlurJBpP4j?u1fZK-&y!@iNAsOg^+jm35`PiXDJvnO3
zQEon|+`*G6ckungj8CAy5VKR9w`9liR;eX&NuC_0_s0joE_)0LmpwA|BT#k->~1-z
zf(3YKj_|X?jIa!Tw}Q+{<kGd-?=!>n`^QkJ$N|y$b|B3D=}?$u({Qx6IJ0i^sT5-W
z=P&~lh=s{i`upej#!wqMC*E4hy}YE-R0N94)&Q%W?k{ohEZIOhV71<dh^VK;DbWrU
zEj}gsP97zI<Drw;GnoqU92c6Q%ZF><c^p_qhl5H7j!$WZ+{H<dWV0SJ_#jUx6rl-)
zGSU_=-fq$;U%}=}u{<#PLTD?;g5WEI6$<s-1mZ;sBEK=AK9p)MA8O5lyn?{XFFLd&
z9)^bVu|pPwqsFu#TOn>D2T9lF7~ee17zGK6u}cRJ3$Cz*6z(0S=My8tZYCbV?k|gA
zh>>KpP=@t#w2-CT>xY*|May^{jexF7L)Bkb?dd~^jIJtdQl8=cPfKV(al|yb*d>pc
zzLhJ>QJvxafq@uToZ<a`tkh>lpr!1tI3BcDe8|(&QX$=$@3cGJh7)N!x=NKzIHgo^
z;EAUO87A4UCrj{zpdO-Q#MIj^vz%)kS1LT?nL+`Xq^AcNo}AbH0ahwcMN0&0*jU$p
zD-G_j2F4cs>SJ$SAS&kDI#2?{7|-=D#{^>_h6iGdV!a|xj+YSwdAL_`C2=^dj0`D)
zLju^WxWHZMf|KKM62nu?7wmv5N;T6}PO4etREIs5_Fh=7-VR2WUREFQJ&K`+btjfN
zbn8ecA32g)!6Zf;xXtz%IE~j29XOR2Qtb@~63Y0IamXaU#c6~*m5jbD_hPj#xK2s9
zcyd$Tn)>1(&`<X*O|CEAMzo;n#(y*>d1HyPRDSlQ{prAUbCRGfTV+8@2wrIGMk;;#
zOOu*6DT>%q)H#`@>!A|NJhWuplI(NyQfiWWXK@GiWS!{1k}<?LI`?U~;9scEu`B$g
zIri05TP7##87<wE6eUGb%t|IjYlOp8m-cTt7Gq<8MBaM}2V9uQ>kEUC$eScZBY8sH
znaKa8VpxVq<#7;A!=w{YPvu=}!@ia$lVvfLmnbc^gg~RDo2fi41e=-)ViuWHtvUGr
zR5*AY=(3zgos`Sb{l{`+mpMAy@Dn7nE1<Ov&(Xa&&)oIUv#Nt*!YM;pkt+pq`zEsH
z<Ozu6E2unG`mrJ%dmdYc&z^}6q!X1AVvUWs-?xAKj2$8RS%qkA!uI0hfqw?3Wff-`
z!siYwSK+>sLT`S71kvB-i2fggBAR^@Yg~2|w;v?XS(0NT{xsx23<9W}L;XEgQk)A0
z)$(ab4Y9t>)K?bJ<hV|YfAJA~J=k@kox<U-;L)Ds3C^}V{LsnJqvJZ@>=5@{t<kN+
z9vg9h2=`?;r54QGnBA8UQ7!vRMNXP#?%4^WEwwsUpKJXI;3%6r+X-#uL_YDA-c5R0
zj~Nr37TA-PO5K~VzdY4wp}@-w+7$$3eo<Ys50pV$fQIvNMDb6BpiFo!gP)x6oTc2&
zIF%R$dnx3`BWn`mJq>YUqw>-WvwbLpp*t}fM_ElzdUZ36Ma75men3U@>5fIkY+R}+
zX-En|mgm4o^QKgXWj1~-j4UpgjpKVh8*kzj&Bp0!V`k$IKvtz1K{#qeTcp&|6Zm%9
z?IW3xO90m~CBG!=qa>};uA*co%r@f<IEl#vB^;zR-v{K;)tSjw#gpxKtGe-*$7Hgd
zpe?<zM^Ca$i#7A9ndoB*AJ(a^=C(=ipMhFQu*iDY0Ct?nDSH^6ZMgee#9HWLf&)B`
zBqk^Goq}psZ{B;!!@ULXayb1a|J*Fu0O(5#0ky3%GfJ)4zOD61fP<^d|BP3pGU;k#
zROa1yaNEds$Efh-EhEvE2wSeEjGrD8Wy42Fil$&|&-tv{C(^-LdTs#6o>BG+cJz!O
zY<#dHT==ER9puY9jgvU<Kc(*xvIce`27wggVO@S>+L>pBlu1uy5Igf_Rd*aopKQ4a
z{}D(^G+WSi$DG&zAVeq0wwj$rCz5YcPfZ5;wqgRSakU3F{~9WljU)fCxC46}S#)5D
zBjX$0vC`tmM@Av59BJ8T;Ak2*aX&X_j>QySeVU@rISb<0qXDv9G;$Vz&n(z0Vwc4E
zN*jIYw&Aw2zvQfyWLGXL)}0v{m=@(F_p5so_pd6(y?r2uXw2pEC)XEuVCQ?$fran!
zO%C7BnMOrmB+J6vWVw`oeNU?Cb+cj8Q8`w+GlSOrMZ;b(uy(YH4zeh*#rV$@_n=KT
zN=hZ~WLQ+F??7dip*~s+Xb~z>vRKINIm`%tec63zA1nm4Fnv`l5CDUbzUsRV?PJA|
z43WIz0H*M%@kmy;^)HLbtHe2DUq_QSg5=d#3kN@hxfz79zXY9U%taPYGI?bieu6mm
z1whG$&))ahX9y~F#pyzm-7gBS#5&p4_h8+0v)h8hGa=1_o;@D$U2{V?4m>)Gho9s5
z7VV(!1|c19akj1RaT80NlaFqWq%CC?*$<ID=GhNQa|uQ;@ax%66MqsOzAq{R9<m#o
z`sZ$@d15bAwp-pSC@Hu$yUVnN`34JPwqpI_G*(i;0xuS4ZLT?jYtCU|YvjP`?6ANb
zX=9_Apcl`?_<;m{==y4?@z6~G73T**5iN0hG1Mp$P(-B&sv|1(U|QOr!=fUnK2f4o
z5mcAFqlg3nJ1vcNmD7Pqc_;8uc-q~l(}gbxw1cJ-g|kZm2C4b+8<GH}%PWMlHzLyJ
z*&Farsf<@j0w$oc97R9;h$VVbaloLJnosnc7UU{O3Y-9Vd4%h3yrKvfUFAf$guo(t
zhh3(3Ps?d;L{eZhVJ-wNH_Rm#C>BJ9EP9`}m`VmrsHeDEgl-fsk)CQ6GE#98z*lw0
zCOE^<l}Z4lzZ$auxZJXo-pcln!iFGU)|KB1s}@odoA;z@<=cspo;>wY&XGrmDb>BX
z?^v|uc==~%{95r??9P5M5CC2ljkb+0PZjsAd2xAo%<NSWXLJmLOH(cC?yB^$G3}Gc
z4SNv5PNjY7@a!MMaU|YHbAc(JaS5~wfhNyyMevB#11^*9kqv+)v=C0SgvIHe=K&6G
z3}3)2GKO@OV+@5p8P*WKm7jlK4gGg)ggrbyijd}_2ID%+;{NP($Y?la9k-`nf?_wG
znYQxp1pf?^$oN}TH~#9F<gg6nrA+2lIHE%Y`E0gwVz=qOT9iDsVB&vAs@D2#B|=$F
zzazv&{<5y$6I!#a2y#lle+O7$!}WU~NswxOJb96{{da}L4Xy2E1EB3KWGt=imw*Mh
zw!apyNZZrZ#%TKoARq6bO8)<LJ(L7+9eUofXeDVirR296Z*V=7dSI%TyHQqi=hVeh
zq2sFV*esS&SR(zUode24s+jP%PlRd;7r7H5TTbJ2s@l4>`yioTgt@GGPiW1S5$2S7
zKMKz_T)h_wfYj~dvM^6$L{jXx3q~1QvC9TPv0DgOTCu+$;NXh=SMiDzJ6&yzV!t=?
zn-GVm(|p&vNi^B(4y#;m9f<=^(5*wIzbNavizZY0d@^|q%3R!;n*3veLxyqGKdS1+
zUmO!hT_7ywqW4qdpH+w$NR9tts@jiKjU&uu)p$Z^_In6(N{v4W&o*3*=Q6$2;p4`F
zq`*HSSY&7gE*k&^ZXsQ11^z>TgDddA$176cbhSYWyxRdy>yCcm?P$&o;Lxo@gTF7U
z!NrK{E7i~qd^cQzGp|~8CtR$-H=q~!v&9qiiVmS4g(VVUhh#&<lpGlt60jKZ)-)M=
z_YCj+&#Ag&vl&yOjBG}-O!Z}DD9N*%$?CZBmGsjGW>i-)TdF-VX?H;3pIfSw$+52-
zx)Lfuc0o&Q<exKeO>qbI#D?g=vNQ?b=o3wCedxux^1-o?O@<WIFtK!ds@D{jN@Pe<
z2RRq?TrQ?|3y~lNM-jF9r&n-!=H<3#wc*K79WG%?M3+?%KgjRq{`=9aSIs#&Vl<7L
zbUrg`I*$g(ax4*)qn%uWWg}n0By0v++i)Mwa(;l&p2CR}oJFqBc0nAg>!UBiy5t^m
z7HCNi>`d!6Tk_mUwb{L>h++x$0qk*}{i^8LJ|)sKl?XK~nHoP+Mg;ifgaFyqUkm-0
zf6c-H<*;-kg7t6GF6oaH-f3~gM+ZT=Tm<$Jth8S;4cMsSMPOGeJ6T!CH6Hx%>J>OM
z9lbCDJhca3Gp=GQkM_hI)#pl&O5aKT7}Uz{w*L$~r6mYkDhsKV5%|imk}2C~?zS&5
zMq)e#CCu?Xm+ClWpfpPYq9S+XKT8A2FRHIP7-&cS^U!cU9%)CuLSkk|eg=m*JMt~%
zfc%nO6nbLqA?TEJtwi(U6fCP#=GpJ`!4e`=EZ{>iD4NP+QL%vU2`buOc1teZyl}6{
zc=<#{7{t=eJy@x{)LzU@L|tDzdlRX7sZ|O}B=jgK1oXLbkb%$w%a=lpk_#+xz$2!Q
zagd~tTH~1-IBD0L1{t2D(+yauJe@{(xa9q%!PRvI`z|nd$rIZ99WH6AU{W1-6BP?N
zoEYQI{^g|LB8CTIj6$^`kF$_=Tlz1>mBh+b>1`>38~f`iPQ>wBuyPgg&x1t&3<k!7
zM08acBq{@*=Wz4pJ(P+)a=?BbPIr$d>6?4DJ>&SA!}Ti)F1kv?<?YDgY{7d&JdeSa
zL-bjAH#o$7%tIov038Yq&WrJ{N5et6rYqWWysJRbA2>z(4Q9Q0Z>t#6K{zOBOOYmt
zr^0qOsKFZ8gP=vd&GB5V8^BhBs4AWxi+9K;4Zr2~j>X&H3*Pv-?ywi{skdw0$Zv#;
z@O_w8<hJU)c<NrK(FNz`d{2A^Y1grMW|ePcXa`V#2BU9b<TN{Qvz>QSg|<(_?X0-%
z1`W8|8MSNGWv6x;-$Hkj09UZqi}$Xy+fl0>x!TL4o8z6KTZ>xVX7wB{_U^%xIsCdq
zr&?<_n@}}`Cg=GR_$n|xsp98Dszh7>8F~~I8crC}gB|?5q-w)G<2HInx5Tra(}?8l
zWW2{c=L4=HC+ddD)5*HK++BtC=FU0+ZV7-Af$KEk$qXKt<>H`vkHm9+3)ZGrVP{7h
zPo{@8Fx_b7(CZF`K3rdFzO1@I&<?5|1n%IdWWY0m3I}|~yZ8!st(8e?r5Eo{y-78}
zejhkCp5yH%Fv!}MnlDn7<J~xh5D?`7iW)GcUc9s6v{t*$stXve!~GVw)r&6(T!=E(
zt97>n`~lsd=X*?j#}6>#*I^I6yW*dNpl3Yibfb1Pc@%H)fvI-ZyUh*+F9qWPV(9^_
z8*+md9C!*1?xH7v-ByU?Pabtbw_9&l&oz;ycDv^~?a;02HHk}VQT2=;`Vq0{E_t>p
z3<ST{2^FWMKzIk^9Wa;>M8Ltrw&2}PQLKumSckn+y?7s9K_}qoV;P_gozDd%-yS$;
z)h)2-9+WEJoYpEZV#9CxQSa7GU;n$wc&_7is(==;@dvuuflrnlfF8vou6R+@36~BZ
zK701;VrMP#+O5TQuzI-eo;eI9!^6G!BCJ86K#gkT!l&s$_ImL)cz)>0pLz{ob}m?{
zrMkf<NjI0uZX!5^EL`;6Xob4*qGkiSn2DTakfM6z^^R_f_XAHht4cf-_|>q39P((q
zJ6wZpGUuwEzv?yMAMo!)qm8V;BWyZBRDF9F<T?aIT|oEzw%Tad9D&;XH4mnKH6T2f
zH^4HX5Ne<9cA$$nP)d;>0sgrjcoev&UGrNjzyne->_t@(c9+d^yWQq89H$#bYtWbH
zx)HQ?Q4KyDak}a@9lud^>h-`S&G1OP)oq>Wfgy{xaTNhF3GC&!>Trk~FjM3Nt1hS<
zV1_-=5wJ@Hni5!{?yiKrhe3%MPjP)LJ%-j+)D4`@yW-dB`7}P{*X)C6Y5ooTgz*eM
z#vLtKh+Z5Ez02Xm6nYOf=MCOWJjH=YRPrP^ZWx7EN2|Pn!ZZ3*A)fTZX1m^d1fA>I
z3(#AOKmOyGh=tF*V#EPZ0c(n2j(f^mVHa%$1YUwaF8(n5`5gXy0e&7k1wZ&7`^qHz
zd<}n=rr_rW{P__6Jb^zurr~EV{&ex@LHzj+{(KLA?t$+<vy=FP9|mXm@o@Uq9ep*B
zPSm7BN9k}OI)I2aD$-s~hAYo$bvnZ}iVW8=GF;BWaLEh9j3~pbDaF+&blQz~>M}<R
zv$N)dRYHyfCgM*}waRjwGxaCD9Plg1Xmc4(^D>HFn0ly6&ltsKWUtizUZZ`ml0k%K
z`J!}N;?1Ub78HN2-9@$Di?@T9(*Rk5F@W)(zDYbk51jtq-d&)&;KMDT3_);0usPTv
z@cLZ17J{OaPqRFKgZet-(p!ADQLi-oFsguQ3hDC$U@|LCWf?5lX?W9eudQ@jU^4&=
zI76`uwj4}Yq+);TX~LXEU4tT)yXsAsO!U*PhiT<&phlr<H>sSK3DgjP!uxK#>)0*F
zZbqGpzTD9X<^It|FBJ8w5sqYU8o2CY&nC!@6Yo{_RU(+^yj?veEx6rp(V>%|wpURB
P&eqWd5Z025;o|=T%`%M&

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.datetime_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.datetime_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..0d714732c80e563db42aba368cc5c995bd923745
GIT binary patch
literal 48159
zcmdsA36LCDdDdz#t&Wu}+j2mb-NG1+u(S)Q5b)YyjC>-zHa>`r5#!#O9(6y>#dMFf
zB6hGtkwT;iP#RYy5K<T_T;VDbf;oyaiBq^ppiBaUgg{6*azIikssdGn{Qv)se(z0p
zPtVLQm6fZk?Rou<|NZ~}zW;y!JNm)thcEc#Ci*Yl8MghPxw_z1tIbx`3w!aFYOB(1
zc+IGHws-KM-UGc-JlAngg{^L<;`QQ9kfY)U^=ij!_Kx-9dCVRK^>9IypAEfA6ttSE
zxIgXB__N1)C4VlSj)JJ}X|Ljou5%+V3L2hsq*d=Wn$B&VRxN-$SOiK;-RZ3&DcKoc
z(<3UOne*eBwhMGcJ^#FTuB<xZPsTHX{^fY89yGn)a(Bgzx4Kc(30Arh^c(v*8B{~;
z(`=>gh9M-v^K{c~@TV=+Zaew0;#N*{yc*`|#<P)o9AEYPo&H{byMM7i>F<l1i+6=y
zCtN%cHa&M`vGUAvyVGL8opABiJIWoe-3k|>_pa!1XAuYv7dfGeRd@l}krkZ<`4BEZ
zGI6V1A#P!fm}Q|8LZ>e|y1BdJZ;GdbX4PBOxXcCMUkaV{_XArmga0pw{|~_b2eHGz
zvra(WEX7l8H|X@@Uv0Fi-MV*`GaMzo_*uN*;UUZUGs{uW?fO^vhczC)Z&)7IJU8lg
zyz)xNZB~4Pjf;wnn4HSS_UR=Q0x+X_+-cQ@?K?<d0wgdO&w(Dg$2)G@*Q5|1KGJGN
zZqN)JQZT31>NuPxY);bTaM3RC5wK_2Qps>Q0(`ud>*BJ132J<%1|Zw70hQf&?3TI$
zY+vATCGjS+v!=Swgur~joA{>dKq>A7BoaVW;zA0VLu$dnUi{qQbbrBYxtBT=xCmi%
zPXSC<G_{iGx(Tot-ju@tun5P1mM6Z}Y@&o{wd8=JJNG-wt)_R#X|)lx!zD-Nyp<<7
z&!r3pNgYej{!VJeZ8lqxYXN;c!+9oESN=?Nat7p8FQ$|6+-jq~6t-P7J6qZv55V-K
z*F#lhP)kjq>?bx7Li9-*hb8cIJLf4FVYDLB@cPrS0bm8}faLtp<xCO1DqBRQcpGTg
zVUP#W8t*{TN$m97(+!LNO8?hUUJoSl^6w`of<DhtpY0CMOZDTUQ1-`8HpzWc9=ThP
zTu$p2Y%-h7H>8odo5(~wZ+MZ{sRv+bH32;ns~c)0se#0YtEySAb(dYMDn#tYF<z#A
zXp~G*0=Z3lV*bPA(g(A-6i+mJt}Z#0+WUbW?;-WPfOvq7w!6(r)a@Jh6H8K1@MO07
znY>op{jGjVw7MsraIC7{qgUmBK*D{zHNi2(r|oU8Sp{S-uY#ARu~xW3d*VqbWYzz5
zz5Z-t3I4EGtF{_o$$RnU_G$2+AR#*42ArCvk<g<ok=r@$MLpgUxCEz{xM$Rh(Ty9z
zyF>Upy~Jx?M#+2?c=QBFCWS{&=zZ`%t#~wXzmm}XR=59KFJg83@jk6U`DC>XBz;Y`
zs2Dwk_Qh<HO;2pvl+&v2n`+GVzo&6}vbDlYKJ$ijM*IJf!8y-#4nE%3OQHK#K8-F3
zZSMkhyaW3EZrShn(gBuKsA!_Tv!Z|$kos*5Bz7>LXQ_Q)mqQ_-PSb<Tk;<N(-$1G=
z$Oif~k>2Ps)&}fO3G%|n;63kGoxXe~M{da{Sd*4MWOXg_e_)K%zV-$x6T6uhY>k>+
zS!A#Zq_inMPXTSK?RDI!)zP3Uo_MZQ5qL6LQO{*XJkja{TE?)*-T?vxs^;REph=Tv
z-Pq8emc}M!gg=x|5SX!=+pS0ClWx81nZ(8ChuwC&)rrbs!|g<`=(cczeg=S#y-KIK
z@ZcPr@evrs!l4unidN>BixXxD4}byefw2L10<Z_>@jb)YiDyQIcmD_eOuVJmt=G8;
zKZ_V&_4gquM<;+Z7snAP2zL}KFptzDG;+#Q@}I9@=+p~b2w^Na+-@x0mtk^NAeR+P
z=!6ScmOEg#b%I6^1t+~b!M@!l0uuMV%(++AD~B@Aejh{>DAuzlo)rWnnwlhm-o4*a
zki>Gtcgecflx9A5=Hl6U0DhcX*G3k56p6ur)1LT6YuRYhcQA*0*(a?&o3H_)7jjm(
zPXQ+XFgN*zmf<M)I3ERn3V-q@_3;e(DU}iY4bAAX$DkR_?n)158&vMCw(CJ9h<axz
z!zs7Zgh$QOVeiDkiTC24HSl(AdCfheeenjL5#ora(E$S<+|*6Zy@?jZlQ8mn`J?9|
zIeM&-N&3$|0RoX2!Ttq)2({0hV6pFEMv7{tMUqPFFHp?n3J+G>??B!{YRjI$T6I<Y
zFHGonwlh_ceH{vr4zj<4C;u$_2G(HrRVWVo2h2l=oA7_)n8tnhk-~e;R9JyktQf*-
zdd2U>HaMCmSp94i6$Qa7JP0l#l}^}QAq>D+q>jlVE-c-Fk;^M5g6-N2bnRvH_$O1)
z_6!k2hUda)OBKpBw|f+HYDS^silD3$G$SYSJqihiUgVtegNpA2m;>yFE<+W+9lM@H
zNSAUU?Hg7|>|!i&$<axWaB5!<-`oTv@79A?dQK2IZnH|g6xxVB0tTwVC5>Q}K=o|M
zQb|7!^L|`0YCopUe$2&NYk^m<maX87n1aHx6TQ|9K7WHNQlg|COxb#y4ETg{km*UP
zD`eKMAEqDd2=Dy!@eg<LaE7KRS!q>I_fZP3x2=GG=tb#$#GcGy@5|uZH2RAtP_rL<
z>Xh!FC60s6;ls`{CIG%jwWj`Jpm$z4N@a+Yw3^4YT19wCy8pyHlO=v(mc)qOVcV+&
zwV={_Z69Q#!&BodTY*1h6gNAi1eHky_)5pE#G4dKuqoapyW=(5z8eOi-k}-J5GiZ<
z)9loPRwJhSW`QI74Nmm06VcgObpyvuXo@+b;F396Wxoj(vy<>oD$g)R#1z9O4i4hi
zo_N~%rw7kkAvdbQ;Om}vSD(TtE~UH^ROodKvX^^Vc>vE)CyqfLsQjgrmAxGPNVi5v
zJkj~9MS#UANtZ~(9Z3JhGp)vnF`(l(9}eue)<CQxG-3p(--;8YlpjM93mMaFIZECC
z2=x;j!hYSyS9&wH?z30vwD-k0L?8On&A$AV)kwBNqi}@oKTbqvXVrC|Jq(!%46Ip2
zn(luI@@DglbYC&7Pxt%ym7)77`7Rx#EQ)FIz^tIWb_;_?#)k)Rv~OhOR>|&$>VS^B
z3e<WB&x&TNyOLk)^LW;)3e<Wf&nle~f1g<9T(Aanp{)!4z40<?i&Fw$Y>4>!f`kPg
z!*JBL5Ln86!B|x-aOKsvHYf*7_4PipuO;7;3Gw+RWuiI?u)I-an&OS{@CE;&)R1uK
z(4+|v=722uzwf`*h%w06HmrxSk}4a2W&^LZ3eM4T>j}lVtp`B51oj7{<=+A8-CC;2
z$g31H(x$<>10Y!lE7ckc*%DTOL?i=<T?T19!pPnRlSB3h{9}lN{UM|by=DYK#k1^P
zSTa?K04OlTcuokFA|{s$*>qRfd!W}+#=;rM!VkpDcSCj%ldJ&d>nUR5Az%t|%qe`Z
z1HfWYki8se0ViRF(a2<F{7Gxi+V9zBi*M7yz_wo|11@G~<AUI=xVNkml@5*zgs|f6
zx2k}G*NumQoE~#u%TPFIZC_as9qf3G)=95i4MKON?p4dRx_f-dS!uQEFp6(*>!Al8
z-t(Ml0I_;>b4q@Knh+dCCdqLxf0_gSexXzntA|0(RaG|r+(t%D$tS|jx65%AKV>lU
zId7Ad(V|64+EU>KY0XHXrN1;qcvgua6|>Wq>fQi_V5V7U+4Pb82GW;JMFS~of%wMo
z=0BiVK82di``*7+%3qp&|EN`$slK|s(mnB<1ybHfeuN+43@4v|Ogyxj%w=~5HvrL3
zXo#M-4EmMa4zp8GjlI+_*Fp0o0yI3R(=biwBK1)GGMWF~d|G0gmch%OoW#U+u=nvw
zrvvsRu-{JOzP2JR^TNs}OOT4a4v984rFA^mOV~7mB~uDe?WrcrPx(ue6|+;OPFqT$
zkyTU=iGpH!I0=pCtv3ixun8nGof!$sSqKbTS8we?%jFmFEBrMfAo6&+Lcvl!9(^fz
z{&td~!>dx^TRU0Fj2-5zxT3JwkUCrpI5!L(aknHo4`v{VB>fUBho6KggX6A1P}HqN
z4tJ3hPqQ;5+`XD}cWGGevMaF!kK!lPu_c&7OB2DpU3N`hQi)xsrNw$ITf~3#Bt<Jt
zAD4$ARED>YVxfIfU10#SJ2e7?SDr97NHg<J2@Rg-HYrYr&YcsroGNa^Y``H7Cx8w5
z!u8uKLwup%>ej2yisyK%m3p`8RbkDBV%xg*m&|xxx*s7Jlm60VQKc}8^r+R-pp;mc
zgaITYePu|^h;rjA!#A+p05j4zE4U}El=^MbzG_vP4bDiUi0pNV$n2~-jt>>pekD|#
z%_DLw6odLAdwu-Li0q~0yK$}5OEEWIvns(V*%T)h$#w!b6z^p(8z3PRrikg`Sk*%k
zDOEBN)4Qoats<r;Axh4ja!HnxaB0&NbQrM`nuN300}Zg*isq)~44hTKB+`3U#ivh0
zPUfkn8a%E2Z2MTf<-*jn(`vv(w6X@XZocBL=H6MGWMt^d+P!53GZ#$i#+ZX&V>u>f
z#T0Tq1k2>jS^#r!<b*g{VjUn!qHo)&qr9Jv1SvC74JI-~UjuRK@Rtog(!0g*+gDVn
z_zN3(9&Yj*PW$1}ktCimZ@=g9U_065==T(F(k93Gk>P}|?7LWv6(6825_t+i5-({R
zr>8K;#PvX%^CpQnx4;}`7k-x81wVbl`4cEqU{2uUOzOv!SEKXE*-9?@l#oBe^GfZO
zKg}*&IGwB4>0LMv3Kb1eT$bNJdWb?akTNO9H~Ki#!Zq8pfiIY0`6wAv#4D{jv&XjX
zTI7W)hL|Egi}Nz2tN6y~sumK;JW;`Jvr1W=N#}Py5g_UmMy71MUdeB}z+9VM0HF!u
zvOK}kf3l)~V<-9@81~`au#A1K3a7B0>t5lo&#Q9#oE!GZ*K#}T!x<qa25ARd-jq+t
z2tglCpv6y3iqh02P&GI&27S`tJ1NQj8c=Ut;~e{P-3dD8iR)A6mdU2b!k2}`8W^`(
zgiUC$^G+={Ip}0MENsD%Wbm)xxUSndjaw31PUzKZDhM%jIc1L6$5DUxvPW~(SPvZY
z>Bc!Jr;i9GfSmecETuILvV3tEj>{m+7qHMi;eH(jcOWIm!tUvdyOi>`OVO4GSULn1
zyBDHdaES7db8YkVF^a-yigzlA{6sln3oPs!rQ<weho}`~(cHUqPwxALS)d09J`AP$
zgDC$DsTn~Od}Ww)%dVP16fM@B9^3wzRh?z)HKfKFw+Ns7l*r4@s{1%Yg-?DC6=!pY
z3^Zqr*~<wyRKVv8@TAayCS7}GOm<}xt@Tf^KbNyJT(@My@~7GQfl*q2Diq4|?se|6
z-H^HHwzGqfcLeTkKBT6%_-OX<no)XKgujz8W+ij!*=+Z=QQEx)3atxgZy$-XY!<Lh
zDz0`=gA~^vrGtX8;F8)qX7P;y8yT_1lzdMs2%1VjanTZBs_pg?A1)<~2a7a&*|!IP
z4~}E8yY`!uHQ!vkm``zGb8QmyAyXmJ@s=BmP2e3j=J6J|{RVg0hup78n8YWJW{6(S
zoQ1UIPsK74`NM@po;`|X82(M9>Zu!U@s*(pxi~k4e31i@|1hb3uT@<kgnbv0mz{NF
zjC&tcoXs7wAe=R(1(}3spX?+(n|=J;D18(n$mi~$gUC;e((;$qjJti4Y4$fo84SAD
zheCa-mw`el`K}y&JSthnV^jjjV^cL4tA1yIAo{Q>w@SI+`5OfgP^^uhi(PPS<S`DG
z0~cRs`EtBESfqX{HWQdVY1TxU?6Hna5T}avV4(ps0&P9}GI^rgv7PyLtKF@`N_SPw
zDhuURU5E>12c3BOFx@2kbpT4_IU&dnAw6Wr8cT1R*i4~sx;D}j3rLDL4bwd-#p|(9
zaVgs8S;<CPs0m<VXEO;sR+!LHO-mmE1I)}lB)nX;Cw+Ly;Cxaakg-GQLq42{l};Hb
z7;2?cMuC)^Q&u`@Zj!UoiSPMJ=NqA8e5I3~)@P;jHhC<0%<~oEDCud~SbROM=!j~I
z+;eFK4MoY!Rn7SG8+pY~^^TU-?lU*}=*L9%WU+<zJSQuzbCUDQRnt;TICw88l<wnZ
z4?`J%#<kXWs#50?=aWU&StSx4Em6Ns=6y`DVfba$goW%;tcGNth|q{f&G3bGE28jN
zZtHsRHeGZ{y9xTSw?U=rx*m|F!(h$npvpNil4%9t9YR8>D*&2%wqN=haN~f`Jb6-^
z&!m-eRv@QRQT82d9^wFn^#o;r_gK6gOYjRazNxy9jST3BiNiIr$54sV>O{L}Uyr;$
zgx@o8I&Ejq|3IVM-u(ohXlD;SW!O7GFm99>^+4g>XrRjI?3Lj@uAnvUks67>VEb+v
z&-Ph_W!gXvL4J<;xWqCaeKn76Ms{x*#f;3WQt{&(*?{*k(%Q4Lvo8ZTD}Cu|?9!ZK
zzhcku<|Sb*bFdoAylk&Qs7~(OlJT7RCC5lMsaedWCd=HU(UAZGn}bT%)!Yoyd1-de
zG5sU+vrR}W)%@rO2bPYw^$LXn_zr3UK)5O-bQ|ru7mC|&8g2x4;6y&$f`j_(AXqBH
zG)@&t&)89<crUxTu&N1*b*{k&iSLF)d?T$(t9X-$rK{hH--I$RABNd7a&a#f+9#kT
zV?|nXaCUQ>DsI{*&5@v!_DT^Lr@aLQX$?a&1rO>_qF^uy`&KY`a5rTgyhXqW90_q4
zX{yI0lGhK@Jt>mcVWHw8nI@>`Qs|E%iMJ+MZ!b)i9y%IkT^nw2Lc7${BSuG{)nwtH
z7AF1xk_HHqg#MPn`DDZhxi^&16C;+g{>DVaNDkqlB1RInl`vBxMjrxl@v?lnt1H!q
z#vI&-{#$$^ADW&rd}!f5j_N<(QVnXgH9Uzv=6xJUO{S;3u`fg5T^kfCI&&Qa^^>n$
zERc9waPLt^eoF>o3gg7&v@c2U%W~ZMy|}b{Or8VCJdqEf4HOP{f%y*;XZ{luHajMj
zzgzv^RoQb!%E?*$`Y%#|Bq4p@{)^VKby0h=gMNomyHpP=)zp*Oxja3|I1(@kg^KQ{
zzc9an^!?qUft20O_(s=jZ9o0EUy{MW)NjSdtkvZ96&Cf`@gUv$=j_}cle%K3!Vi$R
zEn3sJsdK?)+jSX5#U0o`2bcjZO76V4L>x?Aa#GQ-Pu<m3a?&{$<*gX+az4}3JMu#6
zbFo`3UY6fLx{8YiQdAt@WT^PO$r!<rex=<a^I5FuSXEmx)iz)j)W4*mVye{aV{7(q
z%Gcx*o6c6zKtD_PVt_du&*rx<JUe(Jqq2hE2aj7>?EQJ~%qKLD71mhH)%FZ!gxE*X
zOGQ4FOK9%tlKcSyG#HnP3_M-(rF=?8I9<XCwD_s%NI$j>&Woo@5_gOJFM3|+ma@%o
z@IfwOihDu`<%%ixk8(S&#~BNb^I;VG-=OilnWf;9yhJ3e`w8RNcY!7A8r`(7d?U|V
zgfxXfD3tUA;S~>z1m1L`*TfH!z|Gg-q<ir3uL{KfR=ntx=QW*%yL!lhD;W;a835Su
z2_eCdR;o_5)c53Y^Jj8*^x9RZ;E!Fn6*O%xJ0JfPx^`7W3EB5aMTsN3L}B1ae{gMZ
zKu5*Wr1_S6y%d!c$T=_!i87G$R4lYl5)0~>a@s?StzA$1abeRResU5w-_qr_1*Io0
z&43SqijJ&NZHf)?8dV7Le$Ft=r1;OXphVti2ECB+A7pyL_|N_VwTk$U)G{SbT%t^F
zLpk8KF@)0zaKN>?QM()A^~5-;wk~xrzAhI2g>VYzSL|o^BGdM=d+^UFV`T~o%U%rP
zk5~hiU;~|2HX#8;Z4EeQ$5R{V<<YBG;1fl!=qV$5B}U6QE5NsQ+Yk`()-Z-O=530c
zp3ErL;Pu}7tr(E#V6|3;Pi(>k|4Xnhzgcy|g-WaAE%3C3JLna^PjQ_1knr!5JvB43
zKRoawe=1caz<gb<p5}*seoK|z*!NROK2eA-3I05_h}<}gC)3j6h4jl9=TuYDENCgF
zz#dUdPg|qTh{3!S3KfmPd@#R(^y!0WAZ1Q~Z*(BkVlYq291WZc{qAc{36o2IZnZl0
z+%>1=Vl%kUk_aq1(kED)nI?kkZn!>o_`S4hQ|1{scSy!7`(5Nu|J-5B2vNqQW6WAj
z$^LMyB|9c{#iakQ#l$41Icbtg^npDDwXN$k$G$63Af%k=aP1+t{?$Sp11CC9zKg6q
zIm_m0HMON7FN;zFcEL7suy*60VH~V;#6}U<cZ$xZPNvrS1pR?wIIZSXSZJTXnZf%N
zepwknr<7?G_&IslB|{z)_jk<0jGEOH9=w*KREQj(s|)u^UmM>6rINLAd8F|<kP7BC
z?HeNaN>@{R(ZD?Hmt$o_e{yn|{d=+1uw{8P6M>U5aeRK6I+C4L4*(6b&4Aqj6=(C2
z_82H8_MOe^<6*|xyp(((eyJ{sJ@A2am58%ki%|*ArtCA|v)ln((r3ApHMdH61K@tj
zx@M7(*y>icP?215%IypmDn4rS;;ONDxtG0l7)pr2ZzfjcQ!EamA;p8H$>NGd&ft7m
zh%kc0*P*tNNK>d7n6ize2IS^lv54>aH2g7qqG>oiWlY1z+(dFaSYq0PJ?`#nb(Icm
zzrJCtZ4NLu<|K_V55LHohbL9SR9OF3!4~5U0C<w1;DW5hw?G;?jGMZdKTZC7RW|;!
zjlAhP;T27kwWBloQSn)^9mQHq{E=cp>a<leM{;(9$DR__u^(au*l;p{*;gTLUH#xp
zMG~IyIU`W=D!(pdl<Ld-1-|qmD*yyc5tkN-%=*#`zh`#$b_s&#;}d}(J*^K2F7q!p
zj)hvubxi<(V{WCRuRi)~_Gv3#odtYTDiuJF|1bgX5O97}z$>Y;8+%I_=aB_=Tj6#k
zaRD!%fuP&JWM4jXm12Rg(EYKjNvOyI$s<-N)5_=}Al(tq+3`bd6pK(G#WaVR7}%FW
zS9QKLzc1-w#C#%vynZ&OT^3o-Z(B1qS$yofT|~IE!|*aORQ5zdH*v{eVM|E1W#TS_
zv~@Lc_KG$sy)<td`pa};_>yV6Txi6|rcG7=rY%KGg-zR=fe!B9zXhMjw9(W0n6|t4
zfueGV-=7}yasl1Nzj-WUxu8)shL`_j%gZ-vwd~zC`z4^Zk!D)IKN0F8=YJ*;=ezqK
zQf1@EHnO{KaLh7-lW;d`j`jPzVnMd`!x~JcKW>#WnLdj3!#0W`Hd3rlE%FdM5it84
zl58RNA3@r>B6gnMOW;0-G>`E6{X#cJ#&1~x;CG793gh=rfDVq|KgB1)Z+coE{JtGN
z;@~3It|fSn8K03Pje*?uv^uHMg6%EF8;sAW1QR>X-!b}hWv42;v8VHjHH1jM7N5am
zLOF2#6vco{xaM0rO`bp9DmFG=^G1pRHqu-auoD5Z{YbL~*jpiOT>(2&-6dLY=&+!s
zb_CVig<6aZ)v^MB>J)JmhU&Y44i44#;1fYLJ*^K^-x>uC*txrgPWF-UoNS_J43NIS
za<4^w7D7)a$pFvdmx&V{p%9}u(@j-2{_I9}rUjQQH<|+;uI!dlqeu^_-VX)LXRKns
zP+&%yivn{ZUG^Z-YyoosY3mBi=_)Q!`J7NVg5(oIAx4H|Sph(Dil7QZ@<)LV4#|(=
z6G1XPtq&yM75N<xJ|P#nwf|4i4~?oZ;Mtx98ns#=z0H1!(GNY%1ne&hbr}V)zo^P?
z?C6Kioj!kBeJ(s5w!fu#kPX{Zg~|5sTgAqQZEB>LKaDgOh3!Pf>>rV43%36f($*EW
z^Hg7g_l6FDn94^G{so~NBSW~X03bX?XoVqs&%A{2i|~mcoSxPR!s!ky_!4Kg8Lg#n
zJ!Sw~qiPKy+^E%taQh`fxSnQW$umGWqb}bbQe`(bgzMa~A$&jp`x?c9Oa!MIOs3yx
zl^Pqssf}XzjT9Hf??k}tc}TK_-v=P=7mDAypw0>W);lDwbv-C_V`Ti66##yx2(2)F
zcYzM>f}g}E!f$%Y#qaE;Y>=0@iq>~I;Q04j3PrTBhvADt@icvzIPC^ne9h^4wW5oj
zY`XmI(k)GhD*0E(7eTbd!)f+m*r(QQG!Kh=eW9_-;I0H%^G~u^pUdgF{sG8x@ECm@
zajU=ApA=m=1k&4_cc3+%30vJx#q0TpP;)2Z`AW9~hq$A%NMDY(%anT1^m@zjme7kL
zI5r&i;`6GlN;eAN^fr8euo-#HYA>F7iCgb_Vef2Doao=V9M2u+hs0YQC_jfC4I{WI
z5`Jvs&6J_;6Yz7Z_}T5$;n$9+RVlByl@s_Dnwti?I;VT_?pmuAHCvIVy*xS*?+Cq0
z)a*9Ot9T@~2PyOTC9yVG-$nz9hEU~Rp5oO#N-5*lEy^TRAQ@T|1?p}XQo{C**KT#9
za@{-W)q6)b$6I~3u6|C(=Xt9E@G5enZYVQN$J14BrF$Ien?L1t@Q5|!fSFtaQs$zL
zTk)_{z1PO`K@(2!mf_5N3%`N{Ykl3QcKA7m!vLNyHeZ&#PN&r=`)~lW?sb6ANGgQI
z<DL8*uvW`7)zXXiS#PW=*oQ$=<9S|hLW3-QvH8L(9Ph$Dgup16qqghNr(V3H?lzBi
z-Qyl`yb8ZJd(B>ae#e8;qSbQMYlD73GjNU+_#nU21RM#faKo5a3s%7uiRayJ)G8-Q
z@#X-OYDcx(Xu}~?p?JVpN`UoIuhVqvSm91e0q!<K6n~P`4!v%*RbFkNO6~Gi+pW+m
z>m^A`DpC1l5C##c=uY@xd+4szu_O4|aws?}2ZVnp-VU7!VF=)@r%iabLu4!00=WFN
z2P1V4K0zaJ(gX8=Y_PT}h<sbeJ*9qvik^p~3N)vA92Bu0G=ix2!cE`)@pL@j_S$7&
zi?~t&n%RyiD=tuv!y|V5C~AjGi;JgDomyz0j{H`0q18FQSoKaWLe6lp7hi}ah!iMM
zjy$-W6~<l<?g8}LhcAD|uK;J~JGF|{45lQ_Tr8W3T6j%E;6*iR#*Z3xXkspMS6~!X
zBfocaOS}(svQbvUQ;}Z|+o&OD;$7isxOQN*><7pFI{Xj%J5_I?>TeGlE)29+bYWbF
zz^L=-H~(3#w<@k+?Y@c+-v+CI;Q4q1E)xr(^oed8nwSSrih>CE&vD=kXiuvWG;5#(
z5*T(PRD|6XGv6++vEo6vB{~gl`JNX+Z5LMHe#sMMui*yuvRkcoJVJ)o#*<$2WDmCU
z##=Z<z?cN}3Yygb6h12RFC>#PoCghox<r7KpbAy57WN(h5HnJ7uMZ_dZ8h~{28TtJ
z(q}P|KeHGu%o+G6jOQ>J&;4U2da)e(`yc3)=snn)tNponMtrVWLGm>02?zf?*%Es-
z`AfzYh3Oz{v_NCgK>irof=}+gZzDypd)#pW7Qi7p*m-x%ud&M}fpI1LC&YhN@gMx2
zF@5uxzGOfjs-R1z8D2z97qZZuHFRc?PN34RZQ9w*aB~~O4R8!MO)%V8!EiN>;ffu@
z@Grv<F~f)g!>9v8-;|;M+KqSU!-QnKqY{82K_vmX^AtownU5=zp2G71-oUVGtiZVg
zBkKiLqRKsIWSf(%QvJJ)`oXYuBDACz+I5LHo8qm2)ik|DqqGftmpZ6F^a1Sk>=B&y
zLi$-y&e!yA2eg6j`T>4{u7_YIut8AI`S5fI*d$XE&q1nba{tBB4S`p$I`tro9Iz&E
z(KOg^uyT&;tbp-30dJb#RZh1FFb`ySRd|FU3C3R?(j2D>bGr1Doq2OqeK4VGg&$bF
z6iVcJW7Epdn8HB~Ec~@=Z(qK7`9_3Ebia;HDUXeAu)xu|59vrQ-2ew$Tw4Qb@5Z~8
lNt6sGId4<R1YFyKW~JV(f+cDlM+3ICidI_~I6i_F{traP+9m)1

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..b25da348d00ca4d176a62daef310798b54c6b5a3
GIT binary patch
literal 5238
zcmd5=TaO$^72fsk%<k;ncI+2>%_NbDO}sNs-~j~*kQ@-OVjKuD*Qiy~T{EY=eWR*+
zcNP&85VpLigb-<XM!e(+{z5?fgGhOalm~tU?|fB#nG4&-NIYbvm8MRgs&nc)_j<SW
zhok3~+@IN1DT#Q}V?hun0av+M4-!9%c&zjH^4q`6-^p*8j$|h)$)wM7vjh&GL>NdO
z=Wpj`$Fge?s$RK&O>tj~B(Aqpi`umIc7BUGrlo}r`OGKNc|#^65pt<=%LJa)@9~Kh
zKKtoW?li$smrXlmkgapNXgXf4EUlP!spG(`h9c(qAR98X!L*iQm}%V2-epAu%Idx5
zhfFCD@w*kXsQ9%WWa)G<Wd4!lBg>PSHO<EMQ%<{djkf4It<b)C(0@xo_x_QJIUDx<
zSG-gv4}pN{-+$ASJWW*pb*5Q$%RUrV{X)@xfDd4I*Y8z7R8J~g?#AJTY)G4h1*Q=0
zRRpv4?Ig%TsO@08I$ck(dKHS^EfgKl4GRZ-1{l!u!1+b|-^Bk*_`i+&(aY{$2L(Ib
zfdXwP(1Ep+C{40Bn6X-6P+9^giLWJ}wP^XRNf2E#SI@sUYyz`N;VdyQH_qqk5f4-A
zEst|%wnXfQS->rV)=KmpX4WG%33#e0KU{^CS?Zh-J~0lHVSZ-XB!U3GduF!F-8Er7
z&Y~fgJjf51%!YGSmBisGcsCFNQ|&BT_h{dtv<{HJx(Kb=ErB^Wkt~J2Ia@^g%h)%A
zHmpNmsf=4<`1-=S8B-e2eMH#6+-X2<$Q1YdB+R1NdT1GOkMn_frD2E9G#@8Y_$*x5
z2<Qi<$$95xU}uyT(QP-q+91o4y^sw#^1yk*dd>T|7SZC(oPsYm>=}g#)8`4f*|1>@
z3sMc5JNvT@tR$39z#n-oB|6^Q4ZI>gSBn=L*dM|Zy@2~j($by#R7M_884nsxgtPNG
z^D51>jjMra!Y+}JejavBfRwK04Kq}XQt_7>^r_s^OI*knnlu@uW}X85xrTE!%E@^;
zf4+e~i<Op{uQMcq+9^wU4xPKtve8MM?&9>Ot$>m=9n*w<Mn9)t(7W_2`ZYbKC-fUK
z^jrEJ{ho6ABd50xSLwlkzJEqPIHMn)(T@(7=*MUDlOj)7nP(drgfC_uV$YIkI;O3e
z9P??BuS!f^A<TZ{3QU9hAfYXk5YrM0Tk<D1JN^l^@zMWU8%La3)V-l(u}^aure7Ic
z^*v9-LVI2>J$=nqQ<RK&+)YN^^UY#Q>2j58kz|*kXB_a!f0nbR^g3IYZkg4T37MN4
z1v+19l=?ok2RdgKjK5amKV6`>^4>u=#axP;0mOXm4YWRN%)6sRb^-md2rS4pLm<To
zUv*g=-~$hYYxb05WZkhi=COlBaoww0lmF9c)5hi>0QB$A-q?Kb>B7D8hHS{E(Y99j
zlbXhrnIX+|X&cyHcAr(3Hgim;j+2>#=7<YNt;{rh=s24@#JatvJJzR{&5oZ*+lYI0
z+r3p$iuT*A!wEF}22;hwdQ2F}B-R}5q-j53VTQh~nlos3U^-(SbIEifQHDB*Xbzu?
zQY<zLF&@r7!g8ZrW-`QT8|{{7+jaXD;##&>JI&3dQIhC5(a0(F$HQf_ZD$nJKW_s6
zj&e|TY#K>XCL%lfC>(jMpr9pj6z@c6@~WW$63Y$c6frPcw%M233;8h*^TP{fgIHKE
zTjnC4AZytO%2dVFGOd6QvoXZ&oG=*!D{x58B2YS7GM`($^CxCU#A&8ISJ%OX;V9Fi
zgD)N^f#28XKYCosM0$h}MLz|ct*XAx&2EzE`BPf%l-%qud|5c+;mY#TlG!QFo$65S
zzCQn9VYAt@cTfO|08xlL<z_o%@i;?*0pbDH7toNK%M$I44AAAI@DGTwqrkwl{UjdY
znm|MZ=)=(MPjYIT9hT|Do07~00jJsyvMBXx#{;mAfNqP+n1%MhT}J`Bv9ji$l2XO9
zAn_)Vb*Vi*!SKdWY^FP%m-yN{7D^N@y6Xi(v0-R0Qfj$Y1q9tOTeuAJWsJ0mi5Ol}
zvU%0SVy@a>5P~Vv^1#COG*nTuiIJmT!bLCIsDkIjV>n_cBBAqdE&cOfEwhvI6r<({
zlS}M7$hIuSwfr_bOqaAy)ocC!$;k<-rlutBC34&k_;DYcs-K%Hc8601J3P%J7)rx1
z>!2Upy!!<pyCX;bf*4Dgin(5i(Mf{$0KxUhi6I?@5Yf?Wh$sr|WVUYh;ggY9hi9$6
zr&8-7XJ${G#+pq$5@QPS5C2^a6YKh0Dq;w<pJs?_1)wgwb+Poq1Op4m80+_aLT&S5
zz9Qa$vV#!2kFpdZ?AwK#^2$7bkq{ISkKhAUVz^{eh02EWe0v;&Vt`mZg)HLeqt46~
zACtwA$0H^}5AP|GyZ41BW`)Pc_A$b&7byZU3HL%1BH-}aD;hDU@kI!NyJ$4EuG`1c
z!#hY~bJXH_0%V*vsuyh=7I@hJea#Y!-?!)!`j|eV4>QxTRDGHP8v6wB$$&l@Wc0lK
z{W0pvhnPj*r$1+Ad)6fGylr3DvJZtIqoCNxtN04VXDJ0A3;+{G!z8S&>{y>$AlBTS
zxf45;RJZBU-1$hNQroP3W$~=?3#NDE1s|^#Fn(?}F_eaY8h1c#Si4u!-vbhl^6$d4
z(E}mU@dl)jk_v%!dYC2SIb=tjDuhQxoffb1m5ctiFtlGa_r3wxrL9ce!q(jvp4wW!
z&=snSqSdW~BIrTU>IJM#*B%n`@zaX6t<WEUkN+1w(<;l=vRSpxff)Pd;OqBo%_!dc
t=r84C+Tk+JeCQYFnavs==ggbsOA4ZIY$I>O4yvf)06ZVq1|u8x{tW<73c~;Z

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.float_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.float_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..ab6de748542be7a5a9b11d95ceee78c747d2bbcf
GIT binary patch
literal 84250
zcmeHw36xw{b)Z`6McrC0%QAMmP1(kFYmizdF*dXf28+lR62izV0VB%4tA2OYQ*~9j
z{x2=Y3}%<Z2SQv7nScpPSi=?$48$;)AxucZFfeRkIdB3VLmUVU&S9AZn7Q}9{nz`y
z{;#e!E}i%sw|>3<mb<-s@4NTC_irD2-N7{@Yw*8lOVF%T>nG;Ca=G3p`#~pKUv8Az
z%YHrV+}YXrqRtCCv(aSBJ03LJt&-n~)<BI?rCKYu{Cej|C)$kF!)h&<6YVDgzZ6y*
zb=ABwRvE8M9O=wfCZn;i8rFQ{RkVFyt>J}*y^UIXxn8)T)mW@T1*{L%N1yJWKsXX=
zy{tp<!2oAQ<4q4B3OkiEqRFB{p|UO-7my!{Mr+l&-#OG?@S-U%3|rNOb_f_FhU=>3
z0I``U)x02pLU<mld&~T3eYxG#KNh^w(U!l6b=uKH=q=%^PGw7Fy0WoyUS(ZnCOW$3
z8G+vl_8blBzPGTa^r&L9)nGuEV9!%;EVle+BiQpKFZ2Yutvvv6u!jS>rwlKkI?|yv
zCm({jMWj=)M0CRL@cmpX0F2K+u(rKWSrd&_>t+9hL0nGv%EJM}$^}5si{Sr@;r~nF
z|DA{}5Uf=t9A~4^rdMrsqTgL^l-o7`szMGhI??a&R=e{ws*E2BJ6^l;$jWYmbnnPZ
zx<%g$+bzGi(DLe~ibcIWih6sT)N7ucN5TUQ>Pv;jVlI?{>LWn)$!HP;&s%DF&5A+!
zXdf4A0YJg4d$p56H7G1LS_NQJ^;oss_G$%SXW@7?geh16Fxn-=q+H;w0H`@W5q1o$
zJ3V9e0?nVu#r06-e4G@Ca)K<n2BdnJSR*A0STx7Am{dcFXxh_ZJOKKGCW@{lP73`r
zOZovgm`7H2cA_hDOpG~Wz>ag0aE8H*9|etFGQ>_Q+BKk-;Y~59f^tHcGU`NE8U4?q
z?wUv0E8JE%)TsNr3XLXe?_j<_)t<_K6&^=#cal8L!pK{wf3IF|gkDVBN8_AGQg-D}
zEqmj@omw{8izZJj*XDz!hqh;Zv*m+cJ?3{%BpLLwC=~98hC^%Eti@Req}<3!2?iML
zh%~yDv1nHwp^?<i*U09{3zK;=8*Kn#+6@dKD5FgXH1U~!`=(u~+*)})GUx@GL6zG`
z#{jmIgl!zv4TelgOsp~+(ATB`x*h@LP_D<pk^y{;3&3pzAS(4`KlEF*DwtS<DRbCe
z_8Frl44;syTeHip@h(*(qB73nA|YXbF-isGChds$51T|ENG4G<Qtx;s!;o3;16sVB
z<Z(L@00(Wh>tK<(=J&|FWDz{sqkbxF)ModnpA@6+h(-#ruHJ2SRe8Tu;?a~=R*Fs=
zn?Bgo`cm-(IA#WEg#)xBS_h3{{eQ#kKiT+!^Xo5`8_Qm`-ig*WPlDG31>wmi=%X>3
z03E6ldaWft?C_DmDL6ULU7}9($Q;ucb==8$-t8e|%ijZmz6@+}5a`P$0+o9dfktjq
z?71z5^S_u)VmN=UOC*pvNn-;@UzZ~)DvzQCv4>=1u+T^u)pSP<N>_ehka=BWf!Rdn
z1DRB={Br{3eB0jN-G!wP{8&8$E~(Dm3FLSi;QcO%cXVEwtrWtk1$RQ!mfTUlttrHI
zrW4GG0J|6(0ceI0B+gNGW%>Y4IgkT%iy^%+8Ej0|jiw91(e4%+yOK?dr=){wFv*;z
zrtnnmw`Qk3SWf|B`-!fxnUcza1PTFj)<kD0&Dv=CEiY`e3|$qCJWfgmJlS-prP3i9
zX>@5;#<0nB5556ZlhJs!P77nxy3j<H*2OWaUz83I*sVpcT?>oHyjt70fs4)z+RbL8
z6&8bKuNB_XZr~#P4p4UNg(l3ICuHx6Z-JRBJVoJ%7;TPtxGshe09d>ZSQl^}K;OVx
zy<<5w(Rg3_ymEhKJX*iluGP4~z7v&txiW)r92fz(Je)fu9o!ErHR_=me38qR*~$}?
z-uc?K9>gf-3*1o5-<)7z>JY|hRZCt?Mhyb+)q}Z1y!b}^@s#R`YW?Qt7H*PV8GhK!
zM|SlZVFBQfovXF>974y}OE<Kt%hj-Y%zrxA%Ns;YBXKyPF?U200zW+qbP>q(`(nbU
zEm3s6#ABr-;Zt!kny6L53G`~lL}eet@i9QPBf4gV<7f=Qh)%Ol#4xiJ55#E5zu|5O
zI10PDqhQG?&ZE2eJo+#2PujXZ8YkDLl-ETu>@@o<jA58+=@D&!p8XTeTD4RSJ9kip
z<6f%{kA`Q&-hqv^!&AA_($y=bE%%>hqTyT|qIMur2ju_`?3%(&T3DiWFl9UGQ(?QD
z3g(n1v1T6!x=Urk?t>pfnv+*t><3tjf}5^r(JcFGWF@)Bz2)*=sGCVH*_W|bQ`~-v
z1>FvKqPVedKm(F9_Dy)I+{wO$Jy?heF=5}v3Z#?`vV#sZ$&NqM$^HyU_5{t)pUQOb
zZECIJ+rdGOrO_pov=N6H5aZWFUwtxu2Q(c3;|EKrRLQX>Ec+e`mzvMY3y!kR(mBm-
zOL%QR@v;FjYghlwnjZ|aEJV|2J#s_~Z3I6YGt_YSVp$OE7^2(e^nVXBi@Rmo>AH;c
zC`RltQ6&TW%jiH+2*04*EeNNgpT%8>9Z~*<imB|`$k1u_tW>_nLpd0$A7Y#5r2bWh
zeG2~8!=T_vCIIEbicg{Vzz++@E7ek^07(|Fut-To&MU=;74@NcQsF#V%*zwzV~g_-
ztOJHRaooMX4$iVytKRBM4AEMktif_IghU<Wk;;W?82GhCg;ma08joWfkFZ}n#%w$$
zqp8KJUn>`55mONzg4{2?HXLdG2Ghc#Wjx3^b%Tt;268f)MG6%%RIkp12a7oJci=yK
zF^2II1<69Ae6kBtc)ei(R&svm#t|`@MC^;OW?1fSu64-;h-qQ=M#?<yEbQK0ID`d|
zf|T-1_+p}Evsi!>A%fYcFB!dxu&-RD6Y*@4{6%JxMCd^UO}|uKtd=^by4)sElI#PV
zWPc9-kW0F@Fss!ru>fD0zJgwu2_aY$ZI$Tw%gu@h8Br6VaZV7)Yx&bg>ThF%*lVPi
zE@YqOK!1jSPOfS?ncR(axRez1wF64*bI>un2mUx|hT&VL2sW~_7rk~wV}<YCey8Db
zy6L(j+S(;Bib{@m0t%Biy$s?sdsh#dp-j93>OkjjqpIwk@Q++q2##x+ze0pR3$tWM
zMPiYJUp!NC94COOz4=67A2hm-ROD31zWS|bKxA9H&KAdH_9t^tO8svLLs*D)OFh0a
zDI1r1_BST%b_7x&U>Dk0oShj9WQdUW?a(OI(>51X-vRhY0mN49E_pu(I!>k*$-5#|
zm%MjTDnZ^I_0CI`5k;{my&i~ayzk!g;NOV#$->h$4^q2iZ$WXHW^c;S>l=AhG*az_
z^j=@VtG+ZtuP^3Rr3+G-5!(soVpBKMwxP;R(e)@Nh1rBPD9z<qjL=Mj7t~HH*d}px
zpPkHcQ8hOdDHluOce9P(Y{i!a(N<DPJZ35Sq77?*sA`Pz5qQ*(|4>3l%BGz<O=l}_
ztlVYA>10+3a?tD+)i(O*@NHxe1f$&yM-{=k)3l&F=i`>`r3!N)glc6h?1w9L%ODzN
zY24(wY1;Lav=F6-(?gRm%SpQ-#N__O6V|K?7b6>&n3830OUK2XjY|gt!0RTXD>wU*
z^szIf*VuLpr=c;C`S0%3Y<HN~re(5XlXC=i`WSPBy#&FIiQB}bq-ZXczT*_^SdvBd
zME#$ck?u9T2AtKPQ=Ug+Zw896x4<83y0f<<p>k~nfYi~Q?48)GTRkBKA&WH3>Vo3i
zb-|4G0(&=LDz%50{7DuFE$+LZI*5hr00KBlEHqzuW{<+slgiG-^Lk=)2m2|&0<Pr(
zBUR5Hz@M~%$oM@`Z}3gFn6Io9$?X%X`IVZ{>&n%|#o3+x8&cS=RB4n~Vnq=Gd&gle
zD|)+WMG2b*c=Ii}S$RIso=MY1F!m&JFVL&qRIZl7BXU<_VfW(;SRfY7hSla639C&%
zY-O-zG|iHvTkQ?1?NClbP8w39Z<X^dT6}OgCK#o6((D_|xT4?pD||Lt{Yv8yE44-9
z62(?mrmN!K{Ba>P0<&va{N(*Nm!}Wlw)kQI$L<n*V=X^5_WkcV#u?M?L-gIBP2nfU
zAYQTi);C<)T)ut8+!&N;a$p-EGbANl3fN1=&ZlmT?PTXS<koAan(Gp774}FEgDj_$
z+l@$-1D8plpPxQ}TcE`N4uQru2?D*@CXAp+x1g?<^<n|H*T%Yz@ic?OYlr_LJy14L
zdQ}%$A&t+?(}<DZrxoR&r333Gs~Di0B%@>??TPrI^bzutgAdX#DM054QW*I>BE^4C
z2Q-ZovALKk?FqsN&goIZIZfNB_w7_b*>UJ5z5!M4)JvZb0K@Gj41Ad-=;d15{UjZd
zC=N;QZFwBP7(ERc>DFz%>%z`Fru`^3gFsuyB3eEiU#VMJ0xo2PdNwiNI%X@B70>!S
zV!jauPm9C~s<9~q(oGCaMm7!vdXUzc<R6N4reF*$+13leaxU4-U5c0NgQXHrXu-O|
zhm#{E$YA0DIAfil)8tvJD;37B;3T^|GkXymOpXs@kWIMj#DYf&jDZC&fncumcKND#
zmYs5xy~-$y%p|H%A!d=HFzMd?dB`jCs{63fj1(J~0PHRU01l|Jq4iqJO&1v=9*(61
zk=$(&HVTW~LPgszxG!MmiDG`fKs8osWBa_!*qT|8J<v*QFvHk{$do<@N)s}r_{#Ee
zVw%j(8Ce@)1Qu4AjYAOYJXzl%up(pBBw&-Pnvv988PYa%oJ=c<sVYKsWsJJ$l#nrU
z)VnB)&?v%1nW}?=j*q03bNqNU*EX<urw3(`2_n;j(<Wo4XD?OlJ=Z4=3kxdbM*UW(
z(=2~KbY}`=vLGP1V)w+KW25Y|d>V7RhVF-$jj{{U^-HazK#o$Y0hjK{gAUjP*m_O$
zOh;RA3DF)fmo{)N70fJ?Ri;oUZhbosdXih;#75b<mD|mFATv;=E@7vjS;p)$oOi}3
zUk`2aW9Tr=<C638hrR2`d5NUU#qm_Fz(fXCnsJ$-Om8Ft-qQV2oP<Nfc0+Igkfh^0
z9&AUu+0P-WP4C$+@af`l`14Ek^nc-L@R9BPc;Q7W97t^Y@%?6qISh%>?dUIuF!3sJ
zq7_q0di(K)(w!5`X!*;HV}7w*4ZMY#UoI}zyrucVLIW<OcwAwhR||abyb{9daBc({
zDs{H}Y3rzKK(vxAN_uGhD%E!Q`J#jC7xtz(C#jB$XKgZToVwiZ8b<QU{nF;#GZpo7
zM8FS2qpT6|a{2)7aE=(j5u?F3rlc9P7)62RxW_zf*viFU+PL2u>nqtIFpXHs)&f3A
zwvgB{qG4=Ecf=~48nE8V8nJqPD#ED|tDZ1e5vws$DpC%`FPr%9PKTwBm=y=nwvS2i
z_(Lx0JK|dyv(gHRJq3YA4a_!x*_CT?;i{0+?T|c2F!pa!kvD<PDtR<WHp%-;Hr!>D
z%7wlrGJ7=iwt7*jZQa(4?t_8-5P}&LBzcUWCosmbwcrVgQTq>*F;gcx)II^+j!g$F
zuPQX*jB*{f=GRWbbF%=)nhT4q#&Usn;){i*+L1rN9@YF{KSp$>*^dNP(r1h*3qxGF
zn>)j<#1{Nm+x?0psm<ix3Q0jl*KSvnM*>n@&2<ytV3MmjicjQf(o=$~DZs^>ar)hl
z_$)a40saiI2fUloirh|Oe?e`m*w?S~X+xCggo-_IDW2TbrtI6j(gw_3aB!r)SOrfG
zQ5SbQ$!!v(duJ<pkKRVYkD~|Y8hP@?E>r?Y>&_YAp=oK8#YiRtaO>7Ns#WyghS1Bl
z$qd)+p>XOwCY$5$IT_={HX(N@lDJ%~bmv%;lRXl<A$YWxNxN*)<Uojlb}~m%tU3Gj
z-T|W!JSD1Oqi}613JLop9uJMu*5*=dFh4#|b&dS^xyiCEaMIw9^SV-~<xd-h=k$ZZ
zGdWn9GUJu>0o;zR7{KA^;u~}N8IJA-W4;SwWOF<IW312QDZL7A$E}=}4pi}tg{ndC
z<ju6Ni?xa&<ED2y5HQyrgmheq^3L?J4a=NF$dzrT<!ERxjKb0G#Y4J;<ybs?CKcz@
z#Y0aRti?mmbobZNA?ai3zyXZW)8Jyas_I=AmkuuVty{9~fXM3k&gUlk57LJ|J!~{B
z0d@$Xa4rGNRP`P>XbJ~ywd+sLJqsFe&nNg%a37}EItjOaLjKV@dz-tRvOnzqA#Bs^
z*Qs)AuKI*Oe;TppUp0GHKaIU@y=_oprooulMuKY#HkuJ`)&cNb9BFL!)~?L<Z2C#a
zYtfs6ecm8hH^Hf1xVLau;feK=M<~^8$Qxb^tYwlP{-z7H#HNW^JKNpUW80mX1ZIZi
z7r>?N-1biB3rwTyJS4udOn1zF+PQ5b&4hj?&?L5J@7h>*>5LQE>}v?T<f^6#&Xvu6
z5_FtQ9m-~N(%4wS=035!>e}XaQ$P3#@~2XEoXeIRSpHNhh*os9enzk6pe}nBRL+>+
zV|A$82X)uttvr0$g^xCdFYO1zEc9Imb5;&Z&-S>l>u20Qf<|fUBU5g3QTFwHQI_2R
zx=jjhd{gH8`aw_-7Cip=VR(FFsf~oK9*%mKWK^1pK~dHgV4>sVX<sdA!^b5(n1}{O
z9Gt(1s-~NZr}3q1VfINnq(i1cl;e&%j6r}Mk=KTZh-9lk_YK3QJB(FoB9YX_tcP47
z3vSDwie#iMz8T|DvVu*X#d3Gl*9di|1;JOAD5UDSQKXBUi2R2Q^-p5mB}0vz5f<b}
z1YUC0zGvc3q2pxgkOkqSu`S3t2<Ay7>Dk6{V$vpAGT;V|f(7Z+?R6FC!}=NdENC<s
zJ=e8pX6HiRnFtKB*QJHJL@z-LIqE&O|M{qR8Lglb&{c7$dh4n$_Ym_gU6tCUyxgFW
zp;xh)3SI2@4wl%mhl$G#Hd57rZFzfMF2NOB-fqH1Jyrz9#@35&5SO0vE5g(QGr%-b
zyXJ*{S*49K)zy-csXE9+BM+Li6|M#?(k3U$gy0^MW5C?Aw!H~!WR)orkV$$~9`xi^
zxIe%~*|})#wIz^ZDibt`RmTSLt(igW*QnT|_fURsBA%rh2oi%g^sXnx0O^@a4AQlT
z*dHh312Wf{-bn0^lQAE~-tMF&cbrp_mbhf$Nz1PSVmxU{PYFp&k+<tNVfkdaQ@QUu
zRG<UAA?_p`{!Y3zcM)8~uFprA(Le#j3X+p&I=h2)nVEB(l&~sq#wfAp&5wcjrW=?n
zvN9Hn*~WiTt)jb!Fx#lu5KA*os26;ptA5)w`?bP8e_~Nnj{OR|AqaG~*oxGQ^9*xr
zt-WDtWgOGv>bcJD16WosBJLDguyAy}#&8P|#lU|c1fpjQ`~tZJ9X9C;S(6tM#_rL~
zP*VvdyA(wNzC(~%GLZIoNb5A9{e=Q)pnZ3MdtiR-d>+zD59ms4G$ZC)LS$R}vEXT;
z)=9aKg*=Aqq0@|xBaWZZW4Js+ufk)H1kdF$$Qh!@(d{wt5HWmyjGI~4p85tr$$f?<
zKG8-edRiTy;UL_GTdD?-nd<+-7>N#e4NvTMXOjYB1%AU>w%;J|;z257x02x}h-HCM
zq7)7-3hn?F<o6t2rdmax7)sAUQ7+~?0G-q;?mZYKHs$_U(ICJ7py|h6kKM%lhqEyN
zi3zV=;(|~9#X)uI{~Yd8xN6uiz9SVzGk9S7g)Zm}FXMLTboIQ91QC~h#;}VUc^WSk
zZ0YG~$o;W+O*-6`TrC9!P-A#F5I(+B#~X;fdI$%7m*B&d@M^K(dvLF}U-R*+#Q5z^
ztcnUtg-!<8qY^dtX~bumeJZoGNzdi9;O2kT-0b#UGMq72=S+pJR=*X2NmG9{4|S#U
z@+E9EBa}=}=Ox;HgH(TXGd~wO8B2G+R6r&*o@U?A139@z_d<(|?h#^`(LMSCRqgFf
zS}`=i6st_(OpF=bkky2O*h|KYV597eF;<k_0X5fNfO9efWk%BSB={XiOz#E)>kSZ;
zpg9ZR=)p<i__p5lWC#sOmy6@tb~*Bp@`$ON#km|}smK*4yB%V7DS(UL<4tymu?BaD
zpMp>15YyA@IK+q1AQbWZbP>L+S8WW$ExxW_w>SpO3Y_C<(>d<yw*TPTA}}Sti@cy(
zMV}r*7rBdmF-LhzR|W1aca__^vaP6+-)YtqWg&JGbDB3UV%%07<d8ON^StFj$AWM#
zNrfiKJ$AvNRSY`<ovxmHoGRqfNj^OUj$GxUU{Oz3d48`~D^Z@1oL;Wkz#|U4<z@|>
zWB$pTWiJE=Ijq2^Z%}~g7767WucQkl=Il=q;%RnQX4#U?@M*-gKha!UO_%sXd1x#>
zuMc3O8KFXYyTsd+Bq@QB%Ek3c$wB0L3v%&Sd0-~j=u^<5hYKZLBg8GEYxG{KI&f$B
zyLr%)Ecp&L%FdE8()64Q-QKWxs~AB(`p+|i)weq=#x+yQuZK}%{_q1()PtGC^q=&u
zCz+1a%f)nUtWx}8IfZli!%|x-W;*=g(T%<QVXVRZ;s1b7<PX!+>iEM4A!$SIaQ}|5
z+N}Zs;wPY<5NV;-oO}r8NN7_&?=dIASb+<?-E@I<f8_h>bC~O`H?Si^7ud6AFOWak
z^G!c{d5vlteS8T0UrnNzn`xb|nh*zuV}9jfg}ckkP4X)>#n{uZ0~}aSRW=W0tLIm`
zB}Y1xL(W0+B(D}sae9(z2|IbnUv>b>&A}g3rL#PKlJo%uex+0!;NaTr7(S79qo>u;
zZilM@+*kxFquCXFFoELFC4IcVZyhIrS%HpwgsJ0Xf3qj%A!6C0i<s0!Hs)rU34wz2
z-PCVe<Gn@*iL`pzHqyLOwTk}gp{MKA*H)$R;U8V?`ndg^Bxcva{q_0{U*+opn|yCl
zgm5Xobc3OZ$nL^!Nbl;y`s19#oPYX6zFBNu?KE;iavGj&AU~W6WWsU$4?-h2#bunW
zPX27cr_%>;pRE=HI1YH@8`BCKXW7?*%qRK5^v=fo>#?4arQ7s^Q?6{HF|ys8^A#ds
zY()2=YfcJn`r=-y%vIvm2k&)tYaCIOb@4p0OTuDT5h>l_I?7HjZHkU;vUwB3&j2JN
zMe|&O_3Lc7%d3c7=xZXgmqTw4l7FGpiS#c{6Rk;p#wnm9PFJU&VIHMES8OADdaLah
zs*8ma_(5he)hZ&DRz(RSn?)g<W|w4^MHz8AoydNXz#f#ezOkyl4^Dhtc-h=zF1wHi
z{TADGI;37`@w<KtNc<_P^{BbaveZiJNSd5mvBU4({ze@5d$-@!YiOv6gJ-OnUQOFN
zb|n{!N9Pp_b~(1-U*FbLb?nQ_klQvdOBb0`vq;G>1!?x@fmFth_F<zL;WG3N=bdw+
zFv}gq-RLmlNkF)&AoK(ANi6%Ic#0SCyv)Fw5upOK(h(tf!0$Owns7uMUs=XK7VwH4
zeN+B`^J|bntg~cm1sXyg?`slp$yH6mmM4GA+R$+_ZTNNPG`8#XSr=UrPM<mIZI1C>
z31Jj}14=dCUK`A~SHhJlTw>mXUPxMbi8)nG?NXlT+Dlb?hild5k@U?Z?}zS8u}Wqy
zf-5gE$41$w+BUFh(xMeWA=Vq}?5XROW`pZ3u;QLPFjElq6GXIh+~iH=RCS=Nu(pi!
z-bV86Jm^W5d=ndGXG!i$ULVK|l&J>TDQK4QCIfM|Y!5~7W9TqT*!+jR>&eN7q%#9-
zj`?g)zI5Rb`>LhElmUeFM&cxvbQu*Vt;iommN-dMPGTX+d06S<%`&V+PpcDFx&eH6
zxaDV%L8ZPgEa#xCAf$9*ETn{p4Je@Wcwk00MJrdTcrt5VwR$LCVw5MK1f=W=Cyh&n
z@nDktsSE%)gHKT;$RA45<YNc1n^g-Xl~RFB2qhJvQPxn>E$IWeLrG!)M<@y3n9|sP
zDCrfko|28MX&43*N_q(qFgBt)l*CDqtc2yH!%)&qu5OJ8j;xEJB$tG(FqHJcK~pqO
zDCxb~aF?MZ7y6pW?9tHM>V=Z5TdjpELFXI4^8FCJH8;Puq%hKzLL7RAk<N34kwESG
zOMXiQlF}<F&CC8CN1bM06@yDJCN|fMNx@e=rxW47qzG>Wk{U)J>FKz8tSgX2clMi+
zBzH9<-jpSh^!!*P$=#_Q+XyAOtE%y_X68`R_qka7@4RBc?!^{7l%(nUAcT^BnFmt2
znEDwunh`F;fI~^_X7JC&BCsnXwP_2ygOG9W>1HmIz5w8M$C4(YuY_0<zA}f2=Qwi3
zk}imKmZ~CTEa`j#F1f1dE98nLT?8E`(}rS6iZER_8FkSmA(rH*7mpYzP3npz#oKF(
z=~#PG0Asudy^L5A3U9{c>;qJFV6mj<=8^;vOL{go%0Ab&^H`EFYq4mO`=w@u`#qSs
z<vfrRLs)i(Acg~GNY04TEAyZymEb9Cl$|lTBT8@143w!1*cH&M|A>;UDoGu@5jxBg
zQTorl>&b``k}em=Qx$+bm?Z6{G!E&FL_|q?kBXCyh!T-BC8C7yc|_^U_(U6(=xKE#
zN(YX%TVW#r-)az-`}Dm-NkWkrP8!PXj2bJ7g`|8p#o7p{o6#0heZ!4$pMY>`j1r}J
zDUkEeAUvkmk!=0t0vjV>_p4T?1HFyCw-!lp@2x7Z$@VKnfc)_<O+5B**bVVqGjAJh
zGJum(^(Nnye8uH5bG==kmoi@3kWFn}8ACNpT9vVT0nXJ68MuX71`URBcdL>b@xiL^
z3vqFV3yg*A4iPPo?ePO$ZC}L+l3ptbV3#2Gr`aPi3xS9bu=_|7DYkKeXxzj8%8j=Y
zH!x;OoVDmsdW0_)Qcu}l1%q;Pb~QecIisfpb0z==!`b)uwXR$Cy}{f%b9KLm3J`*1
zQ})q^-fmUWO>(EII6X0E=4UuYz0BCw?k4@4uxDl#cGH9%R;{8Tr?WO+qn!FYal?No
z)j-zXS4ihKTbf|3jNJ^@Yz3*1B^}Ce!K8H$I|!Ywp4sXaVrjC5SfI!PJXJ8Gm$}*|
z%oQn8+f=z;DOqH%!2zb(t1>fPnyEwBf`0_^4-}BeJ}WenW=i4&W=e^#7L}}K>d#<M
zZl>OjPh_U(DalN6fLCIs_AmS8>VOPY-${H9L!znT+N6@QaIw-tvbX+q{wD?V<+3|j
z1WcWOw`w(%pW~KfBh9O|J_HF+K;$Ap{#3J#H2>!n>iIRlCL8-7*iB6Hn+JY(L=$3-
zqPM!z_}@w$KS{s4M%I&-eFQpPJ^k(yS*hXwawuIhE+$-kepE2TspHL!@P*%ltIgnM
z2A^(j;Ibw!R7Jm6txkGZR3gcKfum2epJkQ`VE~4E-jZ>BKofp7Z(o=?11Ov+YlTKq
z#Qi6*(Tteoy>o0+c!8a*eas@o?#L_!wom7QjUxLGgBHEkqhhZp;*c@UJ4#i1r&@AG
z_8*%EJxTg2uu*o>n@Tsf=^VmV;;mu;so+DI!7^j}c@lkcTr=1A6A*Wu2c_WtlZouf
zCY#UoX?9)jdNR0=)XT+mZABc}JsI4WQ&oBy>5W8iUn*9`Oh<74xd3kZtz%e&JDM-X
zCvr6DDZ$Yc9$3Fu_dkoz;-a?@6wCgxD&9OcnApg{{$nF(u55@_;D8qFkb|r5{@u|x
z0FSaMThkqVy=oPGc4+;HID=x&>2{Z3NmteV($-q<QAEn`xM~8kcVjm($908~_K&4P
zmgLg9VA6Vp{SkD!dM<76Ngy5E(?}r6>*@$*^>lZyyUq`VPg4MG*r>I^^VKR5j-rt>
zT;|`RLk9>poP~|0mbdKmiU-!8nilLUh|4tlQfB#+&hzQS)G?sI7Zg(~lhKBSTBCHd
zcuTtx`kgyFJ73g!0erA!3|t?KhpJPjzklP%nl(4J7s8fT3JVKx3$tHdf*a`Q(}LQc
z<(U`QF<2|px<@k^4kR`q5gt~L!H1UX<wD(G0&59B;2VV@eB8FxXhZ3(eycIHe;I1>
zbyIk};TjB!Ro7GYC3z+22s&JZ!&wNIRTXZ`tHMWhvAjxyly&b@H@4v;I=q-_$d2&i
ziQPR-?T6i{t!4v1;zh5;63-$0ibjDRp$y+@L^y>`|9A4n7&R#J>goTFeENSs@APN?
zfGy5HFaa~?UU=-ap875yM@};EXL$$U&pP&q_FhG0Jp8z3TUKAnSh)TgVVx0HzW2iQ
zoJ1Lyu1QJ_#fd1T643aJJc!ULcQdr;#TBv2MT9dhc>Xm5uf_Q|&1>##X~)F1N)ihm
zX<8NiyB9oJ62O4FNC4v#PXOc7>MVG!TW*y7f$U}KKluv~tYAT7r=O^={ueOM07~ay
zz&uU08qORl5iPc08AZX6T7dsh6Q05-WrcM91&JmYD`7XW1<8gQxRN(fj$M6CWYc`X
zEVW^2rNWZ51aU#3XF59wovz*zq+4v|l4B^drd)(*iE&6UqvsN1_r5B4h>+5giwWi9
zq3qoh9C0ora<)=}!d{JVO|vMotjOiUuruTi&5+fMw7(?}VP&}YP1tBgXo21i%h|Lt
z0qK|xcAC;56;<MUB?eJq6_AY&<w1d5l@CCRjIIizn$cBx16A$qO6Cm6e=!ewl0%=z
zM%g(;x_g#%_fF!<Z2SNZ#N|g(mB%up_hkmI@31@{){M%(90rX=<-ZF>bTnyXHU=TS
zF`WYkV$OuauVU?zBmO34>|dZ+*24s1+{~!$?17p#gARw61phlkresubQ6hYFl%QOK
zpE|lsN=U7iD=8sulM?7|ADz=Zb(1D?hWqHhd#3c!>1lO*^k>(b{6i>VgZ>@lbryYp
z5hVuG3LN-dW=0~`?JVr3nlC)Dev<A?g@1)g(c8q;6{%u}zxu5-K6$GLfl=n%O%_};
zGjY9Y75&{qFEf$(%yx{ZT~}Rf>8gOC!W~gpxlPlX6m{~i05oOUbFdp)0qA>F*Gs;0
z!>(^qwO^Qbsjh=2(hZ<z8`xV?flassV;LG{y#(Wh=>xbg!4LyDF2TSzroft)V90sk
zFhJ|@osIeHVm&2`zG;5aF2TStvfZcpS|VU<ME4~aoD|8bU(QRs1f%Ne);RAk>*6IC
zE=jX5!62HE`sm(4;GpLxe~a|II~(Hi1`HSOn!;=^^tO5{T<ar1aSbCEyQi00rS<Rc
z3Hj)`{=H&vqkhb9g#}RL&6AL6X;r-i{0b1HRu()+m^4p@75tJWd<0FuRr}2PZLYKf
zyAL6SAh-ZndQ!3JYRoISB0ded_79qCeJzsB3qyq~ViqZ)lQ;6qJQSA;v7ce18DTDa
zFO?qy_OLL^MT;Z|@@FJf_ygRj-8{92!d9yIrK5#Q;9sx4#Djjb_7$T&jO(WDwy{c<
zAajNCZ9qsbzT`Edlh9Yv)ex~^;`YzJ8e&T0F8u<t$mYm}v96Obz=h3c*V4p!IDwj6
z)wHL1_K&egK*!0H;ul5G*fz$ac;$e^mH)7@ys9581w&%C(H?nHNtPVmD6wHU*bfZ*
z3EOOxW>-Sxj0<OW2<m2{G`PdvS8~Kq!5xQiqw<}Fm<NUww0yZ8(b+IN;X>{1$)|{w
zTm@8iyhm-+lh*6w07J$=6)KvH>-7hyYVSbR6u-$DRgM&pDRF29ixkqN9bX<JS2Eji
zE{ZL?FTqAL?5C(C&+pQX(bl*@<zT4o5bQr;d%o=HuB+hV)u!1W=K&GoB?>UyuF-+U
z8Cii?WnzUj0CEN84Lp!jpsDOFAhYaMMj5Cm;a(`lOdeJx3UA`ehw~sU`SKUoNI?h4
zu)ECRH^OBpsI@3y80X1nur23_T~EQqsLC|^>pY;D{1^v*d>R^O<OgDtj~_UI=11y0
zm60v!ib#Jfy^+X1ORrOT2#&}WDaMq$H1Iu-YyB9XDECZHs}t8c5FGW7*ZttPe3yoV
zA~A$Dly^I5tSGdSawN^Vc0f1lKZ(BnEUtc}{3h#fxlYHsG)7gc(}CXlSlW7vq~Idx
z0;R@Cy`HTIkUyNJiN|(eH?f5J3U~NkoC;Y|dff$+R%Prrpkh`p_}~_58Fd)OyEL>I
z@q=q4f+@~0gWl&E$;&cid%o;bQG}$|N;cUOaiD2-O=ckwQ3AFGTX0~nR=_4J19awu
zF_XA~F;n8KMF(A6@e#Y!G|e+%P;Snig->M8=qbUR34p<H_I;Pe{va&FCh37}sOtNW
zGKV4AoDJilO^H)4V`d#zm5us0Ww!{q&1cG%RjZ*qrzyzxy1TDmL;rDWqAl9EL07P6
z@~6@mWX*0@G{|qwH2v5Mv75nKvsb4=mSoLbFlm*<mY~zsvt}--mbPrDXEO!NnP5mS
zOSWA^47m8k?3nwdl1cU+9AuikD>L(@6{}(kZpGfN0L^5@Bwk>}lo)G~$!f*!fkC+y
z`xHKr6{DvlE5-p{krit<;k2T^l6?ltKBO+n@S*9xtr&+P(TZ`cl6KWbVD2jr7?l@`
z0h|f(gLycnQZIV}e9yY&&+)Rk8|f8oHR$uSCPgr2D~7I=Xz(z`xcI5$l62)agj~6;
zO!@~&zpB~}rLB?VAr-Il|BuMRC>}1-djqmJGWQKks-bv)J0hdR=F|UCw07CFggpd5
zf<{^Q5d0>60QVjOF@R$a0lu-~&hM9@!04Pr@#j>CMf<_br?jxCw0(y?YO=00^CKzy
z4N^wVwhLh^K-3lBbMHdn#I&`v%O${F2>(c&O-4^fH*gn%o~G;v$Q6`#dl$l$D^WS|
zOc?O1@BVCVK5o$5>>I9Zynd{U*G39kFh%Z=aPdWRpM4Q{^&q)*LK6zNPDly)M_&@t
z*y$gcSJa&Q46@teuw$*gTrbGG38ijJtD+dsO33tS=4Ix+aF&MK1QD^HCvXO0ul_!O
zV|fTHGb#Z#nvntmip|QXfJ1?<hDvNjzoYD1VK!0e(|&;RVu3qCBrLHV0EST%DH)?g
zNe;O)ugr{<nR$IKwCdgs@CqnR*bRWMEbA7tS$2jx#fS)eQfk=vy*V~;vIT%?A@>U0
zMTjI<HEm(8y#jBAj+5y~dj%8`yE52aG)%}~JL&=ZrMM{apz9<HL4U+sX~mk9rG9A-
zDj`9|u5z3PnNo4ntVvaS=Rz}{%>5R0X9`|2QxRN|pZ+>F%06q)<mRAk-c%uVxbvOn
zf%7$R<41YGrak`m6W!9$6Wl=b2F#6|hg+u3?t?26*eE+!HW*9FBtO}zqqstf@!^?4
zG_?Wy2+%g;ewN4@y@y(u25`FEV#8J9Mtzz+tam**DUqJJ#2{5A$b`7G$#Q+1-bmyS
zq}Qa_>qv+bWm6L3_@2jJ4g+F5_Cikyu@@1P==b)i1GELSUK-4S?7lxPA)!c&y$of7
zR%6vGhhXInb+i7n2sIF%Yz9Lv88IPVQLRn~dh3uF9N~bC&LHK|p6LQxT|QqCz!h#u
z4~uEyv0Jg5!KM)INQKN5FR&S^VbZFMEkLKMx7KtEHL7_0BIPh9#I+dl=)5nO;#?*h
z3!<%R;~^JAl?v~Eq2!Uh9Xp?9Z_CVhZam?VZEV2-e6s>D-K7!+OyUCuOo^}-m#pc7
zyJ1jn!aj~qls=%R1QR9zUP=1k`ntEg0u$ziVXL|T*Ns8;pzljX5QIeg)jM}!-Oj-K
zBK5De*r+OnSR4PLq=lTluLy2Sr^V)Zy7u~_YCDt{ig41zRPIy|w%}_%hZ=Qp!T{*D
zc0RsU`d)>(U{Y*R4~^DAN3k8lKa91qX>ICb)3HtoInx-~0*(kVMJPsk;&P7)zmMD|
zjUPPOa<lefsm_8s2apZ~fY(jNQR0L>_V)C#jkQ4%9ocrcR*qhVUTet@I}slz4=rsa
zXL8SUkMta2-$VAJxapScb5OQ=*0ftcNJ~15mxYM=O7YLni>c(cq7TQr1TTR2B5c7j
z83WkMy<4&aFk2437-nlyDf*6Y_Qig_4h+?`Ad1{>?ZqduTlAD*w^q3HdTQV;H*0<|
zsNOmt)3vwHe9oK!$qFpk*+!_s?lNY`Hdy0f?083HmDwudxv455-K_n-Y8!p>p?92~
zjv%Cc)5#)K%(|_Ea}1=?XPsv4sKPwitYHr}t%F#rm76sjBbzElh)snWpYf(D)_i3Q
zL5`{78=-9VRB@u9ON~7IqDG4O8A2HPR?M;kP|OZ4Wme2@0XVo~ek(qaVy36nQOpNn
zCy|G$wEsP|%Fe)oqVJ%X1Y-p%*;<0@{$l!gz4ZpPi7v3U!^ed{^s~VDsA@ZuOMgwG
zm>M1}S4(Mn`0o_niF%lKVUzkxv1Th)#C(u!niyfus);pU+210}F-`m-C|f;E?3Qn-
zhKDi4WXKum;13Hq=vxQN4nPMx_>)-&uQ^BR;1PTx9ZXNFql5RuUGH!$Mc-e%HWl#W
z`gMy5h81YvGfanAbQV*+W4ajhuJ~nZf^&i1$)Wso_jiYC8+~jD-CseRoEmqhLOPem
zeN?R3gQ{^6=Byf5GnLIE%rT9729&Ly#&yWFRJX${VWex%6cW(4u9Y2tu61xGv#u=y
z9Ngc%8J|ek($nhb+NXw<mhY8|fw%bE4n!D`tU&Kt>ocp%nD*Tee~Ezzv&`1SCxv|U
z<Nmf)+o23Zm_#9kQ_=S!jxIDB{3-``B;u4pJy{=97dEy3FxG74`j`gE<^dzjS@p4I
zEqevR9Mi{5C|f;!oG9y3D-UBV!j?AD%`G7fed}h~0qAB2mon?-PXZiVH{XL#q?_q!
zm2@+F{<Bnp5Fvc%WiZ}w-$7ynl0oTatIN1<j=x0RY?j&D;_E^_`q9l_QEi7(H=9I>
z>*gLo;vXo?6IC<yVAJ|1u~sYA%rr(e#f%VVRm_^N?E46EOfi1}${r-eY_e#W6|;$l
z*kba(gfR52m}Li`m>pcote9ucm5TX%d?Lk6PpOJor*Cl}Gbada68Xi7$Cuxg+hP(#
zu(9vJ<x<gDspbWNE31gFxxsj(f{UKwa8))+-KBw=ty~>#r!3L#5_}JDxxQPRu7QyR
zyy8843(P!y)A1^o0zNyBbWq%;D$|v90*PI~x3y_|aN%@)qus*2a=WnYNVK`sZngY+
zSQO=lqK&eoR)wt<hv0r0KMbq&rJxg?QErslVYL>_!6(b$^JevOCmMey-aHrRPs43F
z6iqJqb-(3>jTW?@ga{3MkpuFf@M8lXrU-o>g`ZR6XS-E{Uz@^4skq>kj^bMwZVcdR
z!PUUq78{MQ4&R?MULF{UHU)kugi9HVC*WId%N;1$3|l#>O)#j-%g{7{E~j~kU-PM?
zh@W>W5<3B87*RAp{!+olmfvi&!eY%o=GQt0)<#nmucm&EMQ8XYsz9sI3)_LLG!~7O
z{e|`t^tbuA*Qx`ppa!hEmZ4-4KZxfeQk_%L=4!p!4vT)h)F?wONS(FA#odqD9aQ1@
zJo{zQZ?zh&B3z+auK6vXGlB}i=x9r$9ooH&Q7@fnCiW)Q1$z$2XtbI4t6`9>&$C~|
z8sm+3rK1553f7a&8sOB4Hr3#M&$hSZ1I6LvKG9mg-igj^`EUlh44=Dgf_%U*a5@_3
zFkWiZ7XeM6NVQySw*1BF3Gg(c&0ZU>q1Q#x+A0XurZQY%3rDMk-~nN&0Md<qtM1jX
z!!1+-)U5}|eqGcI{C2rfJh6--wbeg?-wG_6ElEmBVewcMJ~v1rx}{jI26$I4AR?fg
zkQ1V^E7}Oi!1pQZ^z~lobd#u7T&%+Nx}77PXa_#QAaLFZzwiqj#@@=n@(nHTxcUhq
zdIruakevDw2x6_eTn#%<Ui00bjYXTAezOQ<@nJTWxGZ7`-ZNOl=@AtwVb~1j_v|@-
z{P-Nd%6G2OTG|8m!|Z{Y!JbZZ7PcTzphYqCVG9Dxy$*a5*>CQ?__E7^vYT6rrPwf7
zqK7$84imz{FPN+P;UW!F372ay#AN6#z$_|<mCk|n(G1Asa#2lB1%5GTqJ-QLZ4FM=
zL+?bfQeCRl;D6k}Q){5;Zw!{<!;bvBk^vCvO!`fqnS`0uD0zakGjNM6epAwK@%aW+
zCK5vHqwOXPu^E(7SPg;xTo2p<($gqa>x&=*QZZ~pRT03~DXn^2{pAH8LL=cx7^~vL
z?xH)Qvr4swceLm)d(~ReE0<evpB!-GRJ6{oAM3!LplCf;5iln~yx@yNRS@{F$hRkv
zFq{Dcfw+XADM1v<{$c>1%#5~KrMN|gilMhf^<x~TMVZPcu#i8q%h9$x3jPGqBo^a+
zidczW911EIz%Ckk4_4-C_+;m}*elibwNAC&=4x_{Op6$eRRj1;Qs)$!#=BrF*v0#f
z;fN~3_Xltl3CPnOm6aovMOMQ-KeynY@lp7*0slOD9R6H|f3{D+pL6ifeUtF#pYYG^
zQ}E|y_~*z5__Kh2<~PEhYw*v@@y{#q&!acPpLzUq?-uxTKmIw0A7ej^e?EeL?#4g(
z#bJhDC8iI5G5k0fU64)}$kT0QbVVKA^uq8q7&;tG2fJzOHtpA^ZD$O(rZL?0z;I^-
z!>k*_%pAjLFvEy3!#D)PSOr7Jm!Wgqjy9PSlcZ`>sS2hG#S$cqm!STY^|<(&CA=PJ
zIGD)G3yqqZ>r{1ntWedSw0fMBqf(=7R{vm1TOr!+v*LY;H*2CPunx3FMl-kpT%j6F
zIKTlsgo(Ylc82mhVLH65a~Sj+d@dF=Cd{q?3=<zv840U+gDR$}yrEhz)!Jpy&5b2g
P=~HF2V?yO~$(sBB5?y_p

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.graph_profiler.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.graph_profiler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a413fa2d0215eb874d5bb669d9e428628feb8ae0
GIT binary patch
literal 37821
zcmdU23yd9CdG^}gm%Y1o;>3`w?c9)ttc$(NOAs~*1Pn=o!^TYrP*V41_TITWGrsrE
zWoEAJO&v(2q9*MTE%l9BAu8GeCA>mQRaFI1QbcL1Ruyg9LIkSR(t^TEO&?MPqV)g&
z^O$qyaqiq}o3fGOy)$zj|M~v^{I7H7%tMopee(P^`j732d!FAtyX-WZ-LUD#12)qP
z8~u*kO$O%&haVn1I9Ot{k#i;v`%%Lkux(JH;rZ=m<aP%q2W$b0Cw@C#7WJoNw~_c^
zS5@~Wy(w?{<Y390Ws`}Yv|a5HTev-PdS2~B6t?`f8x61|6x{hn_bgJ7d;ZP=(FBd|
zV^ci`s7MChWo)*t$o6)yDM9TT+u8QJ?qIFI?yy}>l0^P`KY>x=sCM|x7)LPOXghHX
zH{thW*Xi(IGtGW4y;ye|ry{q7W%_J7aW?SLz}w?3dUM_ZZ-;k~xhwa^ZWOPaio33}
zzS4M6y%&W6U=gp}bx%EVdttotS|@SjNLPU1c!d+X(u4<4oFG`1KjP&L#0J~p526^x
zdg%D}{<^n~P5RxYdsc&zqwHM+WAm;B5U+#(uZRC{fd3EUI0352r_n93oju2o2JC1j
zZ1&skO|?n{4A>D~{%E!0-qcz$aQfa0yrUXW?->=Smg^+_$gQtOPPgG1SglBG;*|_m
zz0Fkw7)IRPsD-VH0|ay@0Nq(O3!>#vlN!S8wqqzNHK*IGwfbEW^SG9TwT9Df^xID2
z(j!4r4gU7rC;`Zk0BVfLSmr{$|DrXQ&WU4y^Q*Z)u6c)0>`UbV+43ro+aGs!NXY@V
zEOUJ%6-w#QOi`bTK?FeQuvgxW)9HkmO|>PO_cgy;O*Re>*h?yj{j$-`pl}j!=D;l8
z2|Bl-iI`NC+d#3xlX~ofszK@3%COfPJuD$rt2I#Kbh~!0Mt@%mcaPM<9_r$FRVmoJ
z_>I~vwY9M89wt#-0z&pscTTq(CQe3uvnh_06kB<jiro}2sa;L%*zDO(do}JkXiR2$
zkqb)mv^zj)44{>k(58?7_$rAke{q@tfO8x`u%l=ir0w)3+4HMOjYPL<aTEP_l%v1I
zc7qfh1*nNKHjji7N9o$tjfD4r_w&e#2UAvf=SY#j2xn=8+2PF_!YD_PxoZ;pZX2;P
zNGzvx20JV#@>hz8yqt(c?cH$`H){J}Gc{)1bODn^%@sa1RUdl$SC_Z1suKfnX4kV=
z?!?*>LVjT)_la`k*hF{W=)6QeejFhBFp1|CgbQ}sL(A3AP4bCV*)jYwdwtT@YcJpH
zpNL-fvx!=!sSoQ-c~3}%&aNm@Ukb6gp4)AL7O$TLCrpD|xIFvWjI5sN?rFWda$5)<
zuG?yc9mnqu*!JEgI7@IN+3bOinxv^RpdyJAZMX^OE!7=33Y)9kDH^crE6sFNdz-7g
z)iq?&mjJG(fJp^#J*Cs{eOAFWaZWMoTxQ7ssaMGi`LA*Uf~+d*8%X-H>`@^-tBi};
zZ!kHrZJVWQ-4oT&_P&uq?LA|Fto5X$?0u&MKiBjJK9w7*m<*Y68evlVeF#8#KaBoy
zIeK=@5IZU)HI?USQ9-gvT^lniSh9mwIELUSpb}80Nki$>4PIvNpim%W2YGp<Cpwe0
z8N5e2R>H&JBhL#^uAGU;opypXZt0WOB1XCXh6+>gQv`5k?pS$I0u^v+8@o(tUJM7E
zB#bl-#wKo&A_BimC{9_SU=v|Z^9DXvSscPZplX&)`CST)HQTroJwizhzc2}U$W9R0
zwU*OwC-u`#yYHIBv3+sB*9)Vh9(SB5d0RikF#J(af5F>znk!Gv;RSyiX0dQ5g%6|E
zIq6`03`qd6hy%6@eU5M)qxFH|53#8cb-VYBH^pXJ{dSvdyLTQHeA7FK6da!biX5Ci
zBp2LaY=qrJPqxV5X34u%X`lVCaUegjTH{7z^?pw2{luyzFdNh2c`85YEs%zfW!RQ#
zb+)IdNsx}|whzve)7B(4_#<ovvorhIl)%aqk56a%F((k@9LRce`wAxTC^vxy-Y5@$
z%;n(^;g2nTWm9Cc8`aIOW_E%vK<laHQAU0@wCSGhwf%;l3?8KdXPl@DKQ%iad=M+A
zM%+7Z*ewYTH|+=6RtjZML`h!y>)K?=WRh@TkU0pxii{$u4nB-OxnQSadxa4h)QH_G
z_fh;%2~_ZJ*y3XFHPNtluxdVI%fVfU-JQoG$a+EM$iXxcrvGYaMj(HQ`7B4vCdF>D
z>mH2R<HUzNR8iJR>hz1-Xv(Yq;=KBgQF#?Si!}}%-vNv+MB(Z?x_;t2ZT|t6CpA<W
zL&=e?NJ`=M?Icax@DHVHD@v235E2|Zg|lo|%Xiz&dM3OSUNYpl>9M9gWnM?s%!You
zPRNiomh94Rsi8nai^0{Sj3an1AN-a0hZ`bv9~C9*VRJJ_DLmf24pz)fipPk_{8=1*
z9SlV$Up>_Vw_{LLTe`Okd8qrkZgM7!PKi|25z4$lZro`?=3HdEvG}qIGEN?@9X(3L
zgtddjn6OQCNbZK+4Xtm;rrG1?;Fik3F*F5n&u#cEzcF|u_%etpDgNMT6k4?F!A%_4
zm%|?bbU)i(TS`qZF$y2)0+*UzAu8M0UO61M)AO9zkM#jf5^Pc+#FZ%v_hz~<t!^eE
z5ZuE_K0zdx7u9`hZm<h1BgMyN&=$NI8V-)bKZS^4s2gy&f;U1T<>5@+C&viC%<*-h
zoDN|*(Z~`pKEaYq^kMe7U<#uoAbZ=S<{jfua}Fw5T^Zdo37{|uU&aq9Li=GTI|ka@
zkJRL7@uxY$Ums_LRq(zRC#Q9?OQI^2G--Z(9GX7}l`aWaJ~AFxCcw4k?lt@}$M@to
z;}blA(DZPoIeel|DNtRLwSRf&d{z_+%4L$0QseSjt+zSMeOwG)Is|{5&M!tv7lRcl
z8oUJlNR=V<XKH6|6d9M=5*ZJXg&^}Ge%D%IR7<?9D?z9)1vhJrGnK9p98uRMU%rdv
zRq`jwXQ{Lz-=r}XS`mDtcayaure2%V$1g?7ylIYN#}2dkN*Z<>RJtUyXA&ANM~f_o
zf+{E3IiyM?yP({mAyT3+W5Y^<z-HSYJ{!J4?6*U2%m!<d!BG^M#o#9^w7SHLqI)<b
z>I?SqqI)Z}y1<J{w_e6?<E`O(_p#R{KJ3h>(PF2Fh@$eH5@zJ7Hh#bw?kms=jo834
z^=+=?s&D|7&~F=krvdkHWy(}`Kud}Dn<{R}bL9=T&ls1i1x91Z`&Cs4_SoPa7NNPs
zm6Bd^OV_P4e#v{U_nSsqMkdB##Vz<bRhK=nRTgO_QiSg*h1A}r-$?F*Fyct9)efD6
z8(_?+ZC}mW!ndhmi?#cVZwZxlVsjZ&yP2t0KEZXD+mg=ao!HY+n4m#V8)=5XL|Z5*
zce9zD(Bg#x(Lo-H9RO+uiTBt$7(KC1eT)f&)dT*xozfAZm?Y84fbnU27o&qAdKnWA
zi|hF}c1mqvlv^mNPhiJ~rcZ(%_Jwmatr@%p?(tlG@IDN|e+&LGbW`vFxKnlM71HzP
zgWtspg{l-M4kYWhpkkxM?R|n*{q^8+7^Bp4IahfX*d4JmO_~Y)ma-MWzhi@o!FNTw
z(ukKUF$54(!*9hJJT?3+MU=H#@FAcW`jTUSMhe7%FWS%w{j9R;*(DpXkRMF$1U^s0
zQU!(1!4zK7mJ;oHx*PI+l(-b-)yc~isXjRh+}<<R&NJ{@ZWEryczz31MmBAN+d}(R
zL}OL`9_b#HIxfPJSsaclO@~7ez#}FvHKenWQk7TG?kI60*W)_if*#A13x%#Eu2Hqv
z?`;{UL!m`(N9v$Ws|P&XSJx&|FIHnNN><yQv=p!4Mc7Qn@!?K{T+Cao6*w-pT6@>i
zip6|N`_+{B)zIjrQ066KD%JT`6d6+J2Luxe6}rAcT)W$aO`=`OZV2hZJ;#{r*uYJ%
zYPn>1K_!I2&tmV3!CNa!g3$h3a*7h(Z%*;v1M#bAK!YoCx0Zsdw0mrtb3w&k>RMq+
zDli-cP`P^3#!3gptU3;EeQ;RoI%ncbB|+|YmWF?LK}9?pUKYgVp;1N$&cb5wAk?s>
zl0d8ik)%KrboVg(k^>eMNeaJ0t0GAu*)IK?RAUvjFB}y)Hx*M1zg2ToV3RX9<EEby
z>;eLVkKjMM@t=?4KXdBWJp3x~NrcHB*B?37^joc^!{fOlu%Xrqo8XMxI8F`)d%gfq
z<n5*>LgNTQzeV!(7_efaXLhs=@;v?LwC_V>cv9|<uN{3Qw~lBm^(+gRP#h1p;QT^O
z6q@Cq2L_fqI(GB@q^iq4zGd7U4hVS~zaup#Tfg)?65eRKS@Sg)-lu3Y-Oo91v?=+X
zxoZl*R}>SA{5P+7KjD|4l9{q8-`n|&y@TS=Ty#*dVG*C`0;}!q9Ph;!oE!Pn&{%Dm
z$o?=xX?YA$F{w5dP1SNO-zSD<D75ju-1taG8@4A0Pf@el4&_6keAA~;k>vzht!N1q
zrmjt>pEqd=MWulpf=X3|_=WZkiiKEoP$0zkq(q1pOke~ec>$e~<uW<D+cHgOpcp-8
zmv&T5lwOmAwLG2sGj?K&VHF+ZA>r|&DH$8~9!7_QcQP&%<%{PJ*a@{kk(rCd)7CDG
z;HU>$F3z^!``4_52B)E!>^lu|!}m}c-l5YlbffnN?3Da+mXhJSyE%awJT)1~>$c%#
zVS{&&dP>3Hp;aLFL%xg`QBZ7bsNzCKI<K0T|CtpEJr7dR){G+Ne+r%3A|ruX@L43X
z7>pFg;L`xmrO3Wqo_EdZeNM=v3#L$T{TbvB?GY}>PV32xBey|HmSRnGDP4GPu>mW;
zw0Yx9D0aSzBuA_g8>3ZHsx0^xhwhomY?eumE$5gM6TU9S32G^y;aD1;;?Vb`3eQ2m
zrEsMX=zm86RVF&VkCl|*fcO_AI)dd~?qkWmJLt8B|1S0joe-~r(<ULAHiOssTY34b
zo$(WoyA0+|p-c!MFv;9CVYzCGPXw86D0d|EeK7wDxa9YqUI}f1t5vl36dxI`P)6aI
zyM{6^?8<Q%Q#<1jEoV9?9|xvo#LmnY5W(d|buBv5&eIn{!{vC<dbk2Bw{IwiRmr}g
zf^yeY5ga7|tWt5%<=LK6JzkKLqBPp&Ly$!#h#f?GsHlC$92Nlu<cc66LQ_QEK~;>Z
zxfb@5ULVdR!Q6;BEmSxm1W8>hBuGPS03o`JmdiysYvl&I1`VokD&Ql%n`~HWP6f?J
zDBjd@F4J5&)tcaM5_#oCb-@pgLE);KfZq;f%h4ghSJ31HKZi_-;1`s8PMJ6;7PHbK
zAmG^+hYR@qLlDdfxV1^SMQ*M_t0Mc1rm14~`G2VBaC@qj2;@AGO9%=?nkSzFB6R^S
z7b65gyzuc^tTe=uYHt}{gR4cU$5mU0cQstME8jm-s~SVgDbm@{q96xPjWRS+bYHB_
zF@)eEb8NR<YQxh31lNpvYWT#tXGa;H<lJ|$QgzO03M*sdOLnDAO;;7CakY}z3^znC
zZ3jAR@eK$war}qXIgZec#BsZl5GzE|ZI&*Zy^>fVk^zt6WPXK+EBYzEvQo4@bPR^W
z*N0vKSn>5C`gLj6hhB&0ltsw}uMn+{u@<w;`z~E0VxQPDOCfS3l#Q@#uesH5uLS^0
zk=qGRyY;3YJL_$?S#PzSjn&$E7`9<m>NckxyWowLEK9*l(a1olnB=9YlkTxjfBVwZ
zU8?R@<wv?W^}OLob0E{TrK(kywAGU<in@^;Dt>74D^Qq^u#(h*N>!8aXYCynr$|Ky
z1xa{(qI)YE7CTXl`Pd6g6+JY^{;o`0<(`jjs%#smsgr7H=3gQVGhG&Ef$eCFkOlsz
zb->mv@K73zEbt_$5-Eq`$^`#2c3Q^B19K9~&8MCRUN1twAZLtu;8ZOI4ib%;H+T}9
zaJ3RWvXk^x>)<bO=J(6h#x66zMZ-@)4(@=~E=A_oJj6j7aP-<R_sbbUX~#PSmcW$!
z&SX9Jd-!g$U$s!h9W}MjSMF#t50V(6h7#^z`wYm)Vz3SWRC<4pd!h$}<2Vq$vH1sT
zOj;0i%Zad8qw{ZSttjl&Vz=Fr`*3T1t9HuWtichBxC@IO)$8)?P&}qlPR0vtB^~Ep
zKF)=4$B8F1q~lB_svrj?H*iZ<D*?!Ry*#gH@p`WZdb!v8eEdbbqUcwN*DKfpJ&nCn
z`*r;u_^j^#kLSz#F7<rHrZ0;l*)ttUF_sP7`Uxk4%0m}u;<)0V1^xya_asN(I7O1G
z?}wU_W8gcY<fRft3Wi^0l|#GZd6TNUg&a=_N@iEobrm?nbwTQRR<5JFo|Dv(R4d}j
z<jI>9t|K^?cSEJB&SlfyL9ufwIw){1@rkapHRtkxP0~3Cd8gA}$;9e`Oy3#LQ1eYH
zI-~Z^t2wEsi5D4Cik(!BYPlNMy|1;RX0;K@vgm!Kb2E4YLX`Ku#@b;;*|j{!#%jxC
z<oho+Bgdkt8h_tcjS<onEaFAV@!)09+K<2$6pBx}f?O)d6}(YEKhzbx>Rz(Qv=M;R
zn9M}0HGfM9#qQuQvA@OO&qcQ~gO`~vnqUi8Z!20E0{HVOz?XiB|Er_GD%0CfW2J*a
zRSbWZ;RZ}5)|S?|8}k-^5*RH=N`22ag>aw5T!$QbBGj{$2cYM&KL@q)i}BxqyCsY9
z_{gwY8MS7vKrWbLmG(P(TM0QiS5vcQ7gh<E%kev)k}U(T+p&?B<7c4Za>Qs=Qo)s5
zmCT`4vMO0nP95JQWI|!YvQI!MWb3DTvLL{rm56T=i|x>g)k2i=iYpQSNJTH&YT>I#
zk_53@_)4r)eNx)?5Hj&_F}QmaN(kV)poUE#K|9Nrfso>n0JgF>5KBE$eM&=NuOyaw
zq)}4<=7Zi~5y*w}Wa%ZEqNN^u&V$}__=|#G`c)G2il}hxSAk;Z^o57JW4#K5Jzqeu
zyL!9+9gk%i2cD4Ga}tPl<?d}f*TZ;?N1bl0hpjs~E#fsEx=<Q}wCZEP3te%WQ{Nu4
zzFXDZLa*^~Kr#XAAv?a@K&7#2mEwAsIwPBxmM*<va^qtP(Gh~x$DvZyVD(e>4vK?S
z(Lq75icfUu(Sp@^Lr}TzlHHdC%lGL^0wxk)%(QIE<rvxNw4-Wa$zSJCEq@!~Yj$Fb
zQ579z93_CH;Bc8|?Hy>|z3$LhR*6P9TqX}h`MU@^cbW2#;hGJIj2$Wt@a>W~!Yb4O
zE1}j^sG&3%t57ySf)wzwosu!upg4gUJT(!KnGJl;>H{R@88#J^#Vkmw?t}NEJm#|?
z+F<iy%^#Yx{0-K@SDEE(2ONN6e!YZuRBe{u0R-6GF@cp#J`_Qa0v#}b<x(UcGH)P|
z36rS@&I*c*-zBuf(A2~Jd%#1H=>|A6GK76`@hO#eD0{4U7bM8H#UQH8KACjbI&T#S
zKY@S^#W(@jOP_N1#Zf?&DTiOcN(aTf9G-GGA{~<2(mnJEK}t8A00$EnA@Ly!1wsIS
zx$QRd4ygkpwg{#-l$4NqdvE2@=+SfsYUT3}zX5kk@(=jPa6~ft$IL%W@j**(OkSFl
z|9+;)awUl|o7n#U1d&)?R5#Bf<s1G08ZJkO@(l`}T)rWPPD#F@pxkrHghGMEN{fJo
z$hMd&%d!l_V?z+s0%R2WiUIP&RP>@{AifRF>Ec$-a3oh`AfCZW)#s>YOktZoMRzIY
z;vuYFk3tD$AihUX*eMn%9;A3AfUWG683?ION6J7*+ok|4$UuAn$hBo4@Hx*w+^}0_
zAn4bn$w1rzXKpsfU2vzh?AnDLNrL@fKpx^PW*&k@Bkjg&4bl%6xVWC4uQo@c<%3m6
zteH2J=#y2s75G<e{z+#Sk7B%8)!IV&3eH5zSENU*?c{ewT8A!7fbLR5ElMQV(>f_k
z!5TJ`$(76-GQe$Uni?s1I#wpcwGN=<bP)$CRn3IN_6~|eRnb8~CIp}85~*cEDAq1n
z>n(`&AI-E>uBmlr;^M^m?<4>-Jr;-J9Ex&<FDD*GnJ0^yEr~LVq|e;xIM!Np3I1cX
zWlptEUTl7iMN_qK_latZkl}6-FH(*NFNfBC1mP~JHw+;0=-RClKnlf80pu%$j0}y;
zpL-|R>@+f`J(fmnUS2>+W$-liwitX#bSnL<%(T|#AA*bDO5d8`{(TDWrH{_PJqoDG
z^T$dDg*6=>oi9rZYmLrPzGxHf1;ytRbEe%Y7ZN@C{971MK0f~e+%1XE@sVL3FFZcq
zUzu`@!9;w%4=UO6eY!~<DL#KLG+d4l#pep1TzsBGrzAcvD0fvhK2OC$DFkLI1bQOd
zYO3MOV)XA3qsv7F0hb{p6}2`gPqh3x6}@ON`cID}A0kFy!%Ed>>eWVw1g{k1*9(yY
zE(BiOJGT`{Ib<sZELtCBEEMI}p@vP+H5TERD@OTMS!BF0EPycXsgYAS_s}TAlS=hL
ztW=#<MF)Unln|`FWlEW3K317bU5x}UfNB*FJIMAwM5DYLS{}k=5{7pTFDK_KqB@c=
z*r&GGbRtc(bVcly#HJJJG$|$*q<jcl%cc{2&Qm^rfxl?e3H`FBe5#P=(U*?-2PX>%
z3*ZDF`Pp6bdk%CiE<WaT{ez;5er4(M=JJ>=c{j5K+A?}n9L^HKh8yt}Tk%Bskno-A
z8(_iq@JTweY8QN>c?UPd-Vu1wXS+>&*i;<$qXz6{If5SI1Y2nIBRH-KK61_Pudz9K
zhd#Ew#%ADitqCZ>cmUr84;%f&Z^z5v#o|Yxn*%oWCj4}^c4FC{H8#89cExwY;R0V$
zi4&*O8?3S2yc_sJXZI9b?h=>%s0~;1N!X~bJB?HL6uO%Px}wbiySx>K3A}>jY7dW3
zu=yB1e%<YN>Sy6}m(Bq0EI<a!@6{V&rvp`EXmXL?aoaB4spFYQb@5UO_9!Z}oftk>
z4L9ca%gFV%d)jRej&EnXJO@4xE-ok8W$sxYu!4`*_T%*KWYb;mZ$R}0{PZ$lg&+EK
zoetcYO(Lh^;-ChPum!&hhtJgEbg-}qrC^P-pR|tNc$B{AeZYKJccUnb>YmeWw%rJD
zMp7HefbHQ&*l4XxQY!;?F!LnSM6h!n1bBhBo6;a_A21(eDzm*fh8TeI0HQXGX~5>&
zPIsg4Y`B1U6Rx+r-2vMdxs5Pt)|+k*<O90#3D_z4YIqAiTn>o%O*jDAZTV**k;xXE
zeiGKxTWq@zLN(v)cY1XtcmOQj@ImIHF1$_-&FrB&fNnQN_NTXcvD<Hk^|KumslD(?
z$}o28dQFm&27L3~kA3{KJ+vj?T!(=ODyQXy@Q$!K7z})>xC>t_4!cl%UKFdNQy&jb
z4%mMD1)aq3?F%RayrK8tf#tg+=Zv}p5xop&6-Z8Z0|c?{ci^Mluiy61|2@eTdTtLs
zH7O5|gKp;V&N_TYy^hm^)x0F>#j7hTXU?2i?rp-s*4^bW+E{72r&pk4yfR={Vhth%
zYSiH?x4@_b7&8O+k6!=6mjbd2QLB;Z2JfWZ9FW~4@Y-{{?7K;ey77`u8@iZHoOPH*
zO*mTY_zXJ;GTEuC>8Z%C$32vgN7>$Zvzs_)>z=>iwc&q|Ur2PK=+DI+CravX>%+W`
z0jPa+%`fZi5Z*E5&>n1f@R{KTFrLphK$#$f+Nb(G=wbnsQsO6oKi30~g7kz9zuN*C
zkc#1QR26Z5-7L4)?X1IL1#z+oeR-~n-%r1?0lwa;y4!L5cHL<<BbPM8BW#D;Jv{)c
zz-G9LfH?``1;?)WAn-{&aiR?uR1OHkWzZ3bO9Gk_M4<`a<Q+T+O3b*6-%_UA&{|7f
zz}W{aze)F}@h1Nr{1e)fufRVso5kDsF&HdF57uJu+6Un*D|`-?<!1QG@f0UU`zkNE
zWazqH0|mWn;m6IC<1sd4O!{#rYz`hlFY<O!6p%Z3&yVlv6$Ac8D-4*9XY@{bE&A>f
zeVZx3k9Gw3K@mDYl1|*D7mDefYkHrA-v6P^9kd6A@?Nx<&}Z|yI1?}C8$N!m9GD6G
z;dfAL$#R_O`W;>lL;=LVvmUn9456Y|WNxa`vqp=vvRA5fxzRotAUH7t)XA0Ew#1Wd
zY!~R%M%YJ<IbgdRA$%AcrU|~W%chTs`{zN3-Z{7%v_j8`K+k|o#-Pr5hf1{?w|A@C
dGy!(|-A23L1dSGMpzQBzqV^YxlJjQy{{Swc`*8pO

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.helpers.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.helpers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a49205e8fe813ddc16780b0d24548bd21b70c262
GIT binary patch
literal 13352
zcmdU0TZ|-C8J^jlThDE8>_##>&_K{x-I-o4QL{!Q0S!2DKv+Onmr8Zl={Z$fT~*X&
zX9h8W2XseIB!<ES4H{ofkQWmmB!n2_BabRkA0$2)2^v77#uvZ;oT}=o>h9{9*(I!-
z>~z<;{r~y?%lXe=e?K|?+~Tbx@}D>mc-(Y0S9HU0T!RI%m@?c})L~8-KO3KTD*k4?
zBx=6C5x9}xVzC&(h!!_(!)H!>E*A4NJT&cKC7C}NuvTcgPBxv7^9eqAE?(j_F&>(s
z&2n90@-Ak3%nxE3f)Qh9*d~$gc03(RF0jlIG2!W;8^-*QsA(Cae7~4T_*)ZWw&}2V
zEo$mwS`S0tY(^pWMf=!q8UgV<*|PN@KqJ17J9<Zbn=&G=`_R-|=Y7_uF_D-I^>yls
z`2oJbXZdlypD&6>8xI8Fym3BonBHu(Zqhv8wXpl3anJpl&pbD1+^L89y}sKvZRR(?
zaL`bUHVkxNxa?R-zXU5>p|Roz*yJ^<`=TbFQBvr_cra}clV5R-$Oiioykp(xE@n4_
z;Zus?HGU1j!mkAu{5qh01ODHL|DVAB6WAyJl-%F48qQCGfeA2BgT&pA=SGf^lbjMN
z9|1USEA&}js!87<LVQ77Q@wx42x9h4C7D^%Y1xs%2rMbIsgAyBFfZis>KLS{ds5*b
z`*quG#@k|on}z}X+!k}m)U093i8@W@Gb3Id5z|r~1J|*)Fm@Vh-la-t+`$(m3R3{_
z_A+$hK(g`W4PW=5!?9jQ^ES-Op$YW)7gFIR7~NTV9*h}Z<M*74*Tix)bStEIeyAmy
z6n_hBeH8-sbbkNp7(cVdAK2y(Zu5t>`PWuQ_`}=$5heO`v$J5jRo*PucCxvem<V-$
zoppUjs<oNYi5ojoXNT+pOqaA%jGF<b#urI2kHh?)+pYPvnI1+y)0)2Sw0OY+8<_<*
z65JY^W;$l5X)E5=X);`BqqAOj+x2Sr$!bSau|wV?;M+0SX0PQ8l5}46m&BN-n|>@l
zu2B2jQ0h<diM24+38afD8&@`1(!<o?*!6YT5zhf7Zac%xpzgsH>+7rz8C@`OM%9&w
z>g~vpCrwaqyMBG0In38X5|XljU?p{nm%2>Xo4x=@f3$ON`uvrRe5xOi!1fN^P*FK2
z0>F*)T-@H$?N(&#A=4g<bO-SO3zkmQmrSRw6nBW;o`}WG)poVgheF&}*VQox!yALH
zv~uc{h9M&eTF|2fCJuG-2)Qxhkv?>maAsut($;-9@`BTK(+N-3v)!Jq8)hp!D;x3W
z+==?~ZKWouj!R%{R+6WXi(-m2%;MwX+94RE3O#gOS7Rq2<X;cg*d;Lo7?wRmRm6*!
zBi3YiB%fLSL=&~mj(s|SIbz@xrXc#cz+~9)D^PhuQ4z0Pk$$;!EcRC?ijN?lnv_pj
zI7j+uMk<iLeMKSszDfvFBm^aaDI(qrKK~8>EjjhKx=8ci$$$<FAC?T03+=Fw`L>DZ
zF{f6y>_LAsWmUG4t({-@V}sVsCQEf9L(_WD>@zn*vtM5k&HoHWQ;a&jk=VZg+Xqs(
zS4pghC6CUJ2uDWYvLZ%Lr+naBfvPn<Ix<p4*y|x|P0<uZ`<NK57Z>Co<X7YWPMt7r
zDs;)A8xg#P#~cHGR@=mVBnN*IKps<ri;Uh-$!O82v8v&Abkm8&K5q+=HyXk%4>mq7
z9YKuyA6isgr-+Fff+FSE<KdzF6b7r6)}X=GbrKP45g+9!(;7o#PoSB|j%6`qIW$ad
z<2?ZVE`<DkhU3)({d1zCUC3+M&{X`nmLj@$SE4&`6V?~ymaQ5-G7c-W?V)NiN6}rz
zDp9wD67SVG*)u@t=8GqoLdd#4$8Dx^V>Gm=%T}k7-9b8M-GpgfowIJC$GpNRQhAND
zK0{;rYn6$vs9A#eY%0;wvn8IN#PB>C#mli(1#v>DFFewGi#qeYN=kc1M^d^JaQ2<7
zr|8hvBGW&uWcqT#^HL?Hj}D$uxL|U_u%vS(aDG|I@(#c$I<#SKqc}Q`NXh*TANWqc
z7(xZ5K0`q41i51d!Ezz6-K|^rOC?PCeMqxUj-t!#7XAz-cHtKOTgh{!XcJ01bqlq9
zRSsy+=<LcZ^aH2TEgY|8`f|ea$x2Ee9Xu6o;q#R&?*N>k_G`UO>X}`*l50S2+RHL|
zhI}`o+*nN0-NJ2BVmdC~=O%U<!pT#aPl%~@WZN>5=YOQj$m__D;u0bgUa!$PDkE&=
zNm{NG=HDWunZPCf!z}o@_Kq}dP}dy;c^h&*-8*%bz!^F&JGQJA!M|YXl~Twn4()^T
zH2=@nRuX{qXtHI<peCl<CbJE#bQ4T7Ab1fY`*Uu-+m%c$U)ZMaO|O^P>xO(&CIKw8
zU_G%L_^rp4%r@vlDHNP_cN0z5*y`aF-7`&SBMS#_vPRq2%#d|@r+1a`(|vB6l(`C#
z!db4P6R!&>@0;Ea>M8-G&OzMI=50{$bz4J<*mc%(q{NXvOQ-Qf-@YP>KiM&gVg^^V
zz+)}5ZMNczg@Eu8tWu7aUr>lYj}IVyOzf*Km7*K!%16fi?g1m>V7hnK@wgtCg}|YE
ziS2tweYHfP7<-pY)OuNQ{0qtP;Gy{#LS1JG8Mf)!X3Grmk|(>}_S`hA*RZzrBK};o
zeokKrIO`?+$zNMD$VN{LK@6~t*WZ5f*>X@_Mi%3)9;{`VMpO-g#g$jh9S5ZsDazq3
zSU<qd$`|l5>M_P(@$bu_)^qqseRpyd?3&T3)INgxQZZtbcI5izy6Nb4W=6`3ELlI!
zEh=(X?j-EawPa987xO-`CSSx3d#^cIrimH+O>VER8BkZAN*^<@Udiu3T~`z4`(2YK
z_ZL?jtjm-vNz{G}ld5EuS9|MC@FN|<&eXn!wFg6#WNQ>e#jWBto!*Vg_v&l+vdM%-
zZ|GbkJH)M=+6(FB4-wy+_lj?241U*Mwt0CFet0jWAN&vzKD$?hE5i84_OeNZFC0nF
z;XplkKQicW=ritcAJ>_=LeZ}m9=p8G@Z;bea9HJH$Qu=ogUThXXK2F<me|3n-%&#;
z{EM2^t43<5FNaze@KHREmaK2&+Qj62Njf9(Q`vKdpFB!l+?A}8X!U0_DT`LE@8;<C
zoQ+pyua1n;`3F7d-<feZpdZ-2z8ki2$62sm!;E1vPNYHGyUfy<QPQZ(mkWtR3T@e*
zrBwc~o9(4{h_`6c4yAI5iLLi`%-<!P&UlGUnf9UQ^Se@9<ax?RG4<p<PoD?|)8wIA
z#D8+EIB{^Gaw+?hgm=EZ-W>Iw_qTW@?yo1yT;5)#f0Rc4SE&kvrA3ZBF><n&T^V^L
zb<2YfgqKMZ5qwca=GBwFE+=uBK2ny8m+-|YODd#A_DL1|l+##g&iG9%B_@&Tk{-r7
z0|BF)6|d8C&y$X;>an)z9`vfT3@Xy=;Z;nk>{!q(MawtkY9^<Vi%V)k)0)XH|6(#N
z#LFt$@=c{>_A5)3%b@miun@C?SALTAF)HR;kx!+uT2=@<o3^NeSTPl_kjkS_<9jG8
z+HE6cfi#^Fi-`wyJ3@J7RyS~9P1KU2D%VHdVGYG8EC}_Ehld$O2DumKJRYZ$$H=$w
zG>5`SjS6U~7v#pNsuFLO54T-6bX*h(bvsu_#T-=(Q>J7SbzGeoE%Q`u=V_=qr9$KY
zOD?DuW;5BMZI~g~(lTC9OeQ3Cy=!7Nse-iG1!l*q`@}TYZKR6S<G47)Hc{M%-Goul
zZ5=mQGg=3^`3>E7=$$*(WqJoKwa`c13-OKg%Dm}#QK&Je<<gsZydjUm_VQ<!Wxn-z
zu~TEd@A?`?f)h2sz?oQuOBV;+C@iirE?0@gVyUOJg!K$5_PkoR%R@T*c(J22SsbK2
z1OSQyB3st-%-OoL9-+hzh#PqCzYnFe;)u^$u5W0lvxR<u3>D+9i3#L&+ej+|5z|1y
zGm3IIQHLew^(b_;Zj;z&LaFAAsN-pw;sIFMfaDtUkqn>(56Bjv>jWhJZj%?V$Z$2(
z9AVT!+-2Q>p(e9CQ))>o)GnBT8A=sBpc!VMH*MNT!sTRY5d5T=#byGSfGYWb)+EEU
ztg!ePeFG6xHc?p!BuuNJ=oI&9eIt8>iXI}Xg625uP(<78Ai4DAkw5)&T+DmSL-BVT
zHO5X$LWTkk4;l~d$vi}zhau|68jX#O4HTD#+;vu5f4yO_3k{468nHM^GbAgRp&@?>
zL4~sDih0X7p1Kvt&in0Fi43)L$sA9~gszL~e3ON3Nrs0V8zgF>-h>qyR6{)_7NL_J
zEi=!IeN9z+ZHt4!mJ{lm8aLOujsMW!F`KfTVm9dLC^vpAf?Wpy>WF++kDBcw@<lTW
z?H5}d3FH>Ur|b<VO9(OheB>cBN53SH_1K9YK=C$OOs5SUNFBprauq?;ERH+KkfSwV
zt6QMO8Oo2h#nG1S>gP3v!WLUYsU51-sN(;k*w35`^z#5QrCbDT66%FB!GywxnyPb=
z93KK9s7r{SH$W9oeont45Qht`lqHwVSgoBsOpsaNw+0wKNsa3Jl4Zhhtv3D9>CdD1
z6Nws)pc6{|NI{NSll@3LUWZbBIf2j0(Kx7{;!p6G`5Td#%Zp3WnnQ|H>NY8cY9Xsk
z$Ei)_ThurR2jcBCT|3hNIrOShV>Y^0Sh1E;m6Hw^)`x@jL-OcH%WEY)sKJNNXyLa7
zP>fj2v|Ob0RaGyryCZ3T7DzrF-v_Nn9UANim<MoIieTnC^38ZXFdu9MFrBoud$1+H
zN9n$YO73gN#OhrT1Ip)|^L3>M_3Kp-Fr-@j`Z~&#aj@YHR$}+YN+~=150Z7ofljA5
zUD4hfGER&qXV|D1lVOb*yL;_R_t3ebexbv^o%{r5b(A8#zpM4cOa_xw_?hH)5wOs8
Svd(FPynW&rDF}(0EB^yjdzQZd

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.helpers.report_helpers.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.helpers.report_helpers.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..1307f664fea183ccb60500cc8a6c43bd3f4aa836
GIT binary patch
literal 20133
zcmdU1ZHyh)S>6xt$6ed&uVm9;JDoriU#s5T1d_BkZj;JQscLB(B@I8Cn(6G!xjQqS
zJ99f9_Aa6%r7GCfDI$1KlOkFneng5C(jWYb6bafwk&pl(0V%2wAn}6=5J>&gLc{Z(
znK}2&+?l!euH6c+w7WCs^F7b|an5<qJLkoP-}%bcjQHV4qJi!ByBmgO`GLivlrLL>
zne>?-r#I8HpG!ZRc6lc>u0=r-nk?lrC}G-;XNAm9FQ<H!ipP!@ZRGWrB4)-;;LGav
zg1u-jT~51phcCoV>@g*auRg;DK^SWvW!`{=QA#CI@W3b7E>SR&|Akc0gho&B#eo4T
z;?zFIJGvy>p681>wOjmv=lCq$O12HYV#IOiY$q{BNu!!~tcXUiWO_yvAra3DzR}N~
zmaSwkeAzb4D<SJqnS?LJ#tvnr_7VG}eaJp#&)cVYfAhHr1K7M0`OMhfG#}OnVc-Ib
zX!GOG>LErMZGPB@ji<w)=XfmK1i{f}M(C!63=|g`8^uGkVP~LhQ0*|*<!gj7-*;&)
z*|ul+g5z6kSAjG`+kQ93Xx|Soe+It~;P(uE&(e4SS?GvScKLyU;e;uFv>#ZB#~#<F
zA|&OHWcAjkt7b25#i^0l@3q$z0AHIHz#cQ=BxL$_X!xdG!f;b!xS4~tS;26ycb*sk
zB>WvM=uJ6rpg#-rJG=uCG<HH`U@IKp4_yrW*l_$v%X-&(i7%8Q(t1It?J%E(Moc|t
zRBdEpzqXHxLw&diEI*V9<Cc9NiF~6B5cE$#X74n}3uyuL8<}k?j7#HC%i_Km0dyE3
z{&Car%)~Qdrhg_ed>Akmb<b*D$Ja8Eo=zanru;)w>A*%!|7opWWW0o;AAor_6)7vM
z>I`f!a`ec7RU(B@%J5It^waf|z8tl_69&m3I<Gl?d`^>CoYySJjGq^Y_;dNJw*J9N
zl91Uh2s<RYrx}EdVlivj3w&cbND3vGw%Sky79k*BvkG+iL4dSAz@$Nx^20>9u>Rtm
zmCR&kx9^>g1_n)f%cuh5ewC%9IWBtX<yQZ#JI83%iyRpW@USCzSY_ae8tEyxRGU|3
z#pl{su}rMU_^?c!kFvo275lS<_X|V3?Ozp^4Fn$-1e5jcvzUdRgE>(Vy`S5Mj7x#e
z^hvg@w)?K8c4cKDRHTgh2%0r@C7N}4Wi-Fmj3%G;Q$v+rg6;PJ+be>(cL}VBqyf!C
z38tRX`i#$>FX+Hix!13^^*R{s^$+u2*Z8bfY3dcVDf_F10mnj&)^N1$gDn{_--3<S
zcd^`3fX^2-YgyqkiGQxP+dS!E8OwTB(8s)-^0~ntRzgUK_Xbe#1z`nJQ6x6P9Tulq
zPnh8M&Sx`1%BNiBz-;WD&l=t$hWr_z`Nqh!{8|&^SmT^lD8`r3;7xG&WeMfIjRriI
z&mrm^S+wB2l2QivKU)B<C;xk(>J3R%i+KHSOVe+TAVb1MP1gw5_tb_I;aV-vV>t}p
zE@+c-b%4s11=c+=J2Rs;JDF_Re>W5?`|XlQWu2%pWq-FuO57vpxQyWQ1(Rl<uMqiQ
zJCU^@79EVjAat?BefN>}4%DrMqG2s4h(7iK!rVEnK!G01RQ^IcmA4MVbL}1c<Y1VE
zp(JAoCAeGx!EUFq4TOrdX;kY<Ic3-tt2DmgOVH+g9W|WSv&Ce{u#oj5Wdgt=x3nOg
zN|ArF9T#N~>Lk%3!jmfU7t!&giv0WSMAkDe?_eTDextpE=~0+akw-viRpdWur}EZe
z_^b8~esVChDDuCw)7S>WSiN(vQ{z?DQ>tAy$Y%rx8CHxbU!iq+uuYz<w7f%F+~>N;
ze%oH;%e}<&#0uH|JS~na`!pGWOS7QNph*{MQ*13wcvDn|WU=Y*+D{hqIDhxWVneSP
zz6HMu8Ia+AR(e>*mXp(p+nFPr+$H)ae0-C-Rqp&vA+f<dkPjT3=<t=E!#qo`?6V3V
z1U$PUUoqIjth{P<JGAn2v3bkAzH3}fl6*izC*7Z(h6%2gaqcwz%fyPTupGp8VC{`i
zitK~ikVzId53)nU*PWR4N2?D-@v)k{9C?;vI8oL$WNx#NT#m&8T+3WA`HTj4j)xvX
z!_(oN4E!CXD}JJ;>0&idn^#8hsfkhK2g%(%V5ZY^%=EgtT61U6N@dmRUd#}G0{?*Y
z8lTg;m9+_FscK|b=d2liv=}(+4{RfHO7s74msqz6boEN}&1-d78~1WX?k5Gg%|+GK
zK(=KhSlI5sb4({rZ!|6RT>}lf&*IN@_Y?F;kh#y{Pq7hnB~r6z#{sp*7qowV@n&_!
zI|Aq$zqeVqq#(2vf}&MhRpy1tK>}IrCs5-8hBdOQRc2Ab`#j2^==(%b_i_9y40pZ(
z8*0x(g<3>fx4h&N>Jx;{j^i7i)Sk?EblndtjdEoxo3E9X6bXf}EH4vj6Pfo$h8EJF
zis98tKV_-CRHfhjC6)Yad6`pQw=;dc(p<9$E7Ja&Ag{ToD(!BJ!omnlAnk9UY$G`2
z_HZ*~%7esCw%Es1_q5;I&+u~eD`utK=NKdMxBKb$Z&0aC{`U>*-|q|7*2VRI>}P<t
z0oZr;)9?TMxPYCV-<P~L@4N3ogQ|8n>zJaBIjq>mS7!jqQJaHBsht68${nw<kJ8@p
zy4+kl)&9oY{FlbCX2j;VHt9Y}13u~g>;$boloh3=U9#QY>dCC=yF^j<6#kVbovwSo
zlE#;w$(;_lRg&)#KQUiCI~A|<mFUw{Nv=fQhn0RuCcwMop^H_S<RAz2nUcbWd|+!$
zL$;XL4b*6}YsBN68#KJz%#DK?H#Fg&&pA>`lVcWK`L$_=SL_d7ph^>R<yPEJU!It_
z{mvCQ947a5`y_l*a0x;*;zOn!)c{miC#WN4&NAk&S86p|y?qZ$^g7|FMt#Ej8`d}e
ze+_HI$y*&&s}U5M{9A(Y&FoP$nN(sbO>XVoU4x;6@hLnB_UX)p(q3s!RLZ<SnR?=k
zx?H83txw@Z%HnFOo~itpFDtbK@0Bnk?hi0J1i0a}S$SXbgDiyV25_)-p$8P!mD9Sv
zNE7>c{!|a)B|7Qltp%36Z@MT7*=uV!$)_t*q0Nc}{-kW78(3K!$T=-ybQ~TB;du>S
z3GD;g8U4&T?F!qI?`LF)NbbnEB3qm`pd&Z;(^e~6r+W^RZCY9UyY@AEx8%+&jxP}1
z;hvCn`5)au0UnZZhz_K%ju#~dI!ab{cBG_~aeGjXz0Td)wYmMJTHFw&q2T5|K+Om$
zep^zpK9xM>Vl+J5UM{NVIm5H;xxgy+lJr;}(1q3k*|jHK?)y;*2u^Z_?S8DigL-Fu
z-ofZew&=Pv84t&)_ysE4T+GmQeu7W8lcsoS)G7Kl9DIFB;8)hUR;bJNU5#Za6cf=7
z?jspnhB9$ionac0kB%%=h>4O?mX^=ABUUdhFJxp*BrPwscTg`ac?UJpLOBi6G7n3g
zjdxU7L|%F1uU1;BFmHNU5q+qh<N9ESKM>$mdTYhG0S4&n3_m7godU#@(~PD1&u2eS
z2mqeS!~fIP;q%#GB-Y9OCRI7<wlfD*b@-y=i$HWGLTw&1XhDp4E|c>Q?c^ZJtY;)%
ztY0;}gq2C-C!%B^0>-1h5yqcM0t$Jj)s6eMO7T8b?r>?=7enYO0XOr=mgA!5^0>a=
zI<5v2@n5JksWqNoC@Vxou<G?I@1RDoDChR**S+n8{n+&DZuC2{kFVFSb{LXv_gg?i
zPUkJk^jPay-M>aN)!?o|o5s@c9hHW;Gg67@u`FvJZKvX2t5l3voQ$|>6lZ){gu&D<
zoZK5Yr<Y()J@xOj4qlyLZ}Ze|*2$Y9-T8c;hauDseF&PnDwss^2<{Jnhx<ePDXl-<
zcaSn|XeNaqxU<-2x?QwS`#!`U<ZD)O_I(t|r1p^c`4MNG8h7whAHgmU(FvN*qL^7C
zMjp|%Mz|+K4%&)Hfpt0Y>!ka|iP=U}(?=Y4>JCNV{2TdjVcnmUvi{^#hG}aayUIMx
zi8M3tJYx_6Tts%PxY(`Z@tPCcT5K~dKcq$y7J1o>FOk3XhKBt4-Hbo4Ov@klWvX%C
zrFk%SI9m6fQK=g5qE_Q0@=dauB#9L+(buP;v~Y>OMwO%{VBV<lRlASX(B68c`*2`o
zhq>Yims}#5ifH&4YWTM9IaipLhZ@oFDu=qQyS#5tJX+PA`0J=8&*h6_+;1Wg@>mzd
zKv|{LKxJiJK5bNNcK!D3yOriDYZb+4(&8--TKJA2ueqpd&Zi1m_(wF{2#z?$mB@@7
zS&abGaAZ|e?ma^ZXpsjg+kCR}(6(w{!&#;JO=M<DPr83R23q1m9?I~RDB2#%@bl6l
zX<h8agz%d-{AecPd%DqCjcgfx1sEl!$)d=)$}+20AJZUPE0))^iOu&o5+0%YYl~$u
zZ5EbBeizDc98EPS17%IF48z?h4iji+S|<6umByM$R#c%Yh-)sYs)GC9;Mk-Q4eMyQ
z5gMTi5|<HG7=fih6>7>oIH7b%==h{Hpbpjk#;e1TG4M{Q4)<X<s3=0<oA~?^pDbeP
zMoz8FkJ(I`6AMivGYdJ_#aL^NK4slDIp3``)-1e=oF{^~=A!$S^It~8jnD`=m$;0`
z`3Nixa$ZyJ7$SNr%pZz$O(vwb+RAw8{nQxHMx?j3$s$JK%?YN6{8XIQQq_Yib>Bq<
z<S`1bX0yrdicxrLDj~~b6yBstW0ro(BK<_-k8F90iK#Yk$l=;-@c1vMAzPem{>215
z&bdLuyUpAv#UqT5QTX?1hF2`e|BWh5&J|_JSy`GkoDj?{m5tl&H!?M`38iJXFf%_I
z&q%@WAC50q1f>viQ!%_<|MR2lVhdLs54Ts!j<Vgtn;;okbD%AjCk+SM?vHSAEfz5D
zJM{D@nC8yFMUg$t;;H`ddPrT@zQ9+r+a}iYD=~0ro`>`nIr()J5&X$#5bcKBLSUop
z6?~F0pG|=Fx$NGN7AYz2Ua`+n-C4eBCL!I@qRTs34izcc-7I`LVliEYfy-x($=hUl
z2z|%uz)JbzFOrK}i3LBh#XI>G8u0Gp1qbACz8L)hUJhp6Aco(+g4dP&H3>bu9gYK2
zr@LGz7u_w;RVern_;@b}VjpgDCG*lOKTKEIP{jQ%Ztdu&NLj_g)fwn!(5D-6A~bn2
zOJN=pDLVNj^x{St^q5!3ubA25hw^(!gm)voG{;wL18)5Mb%7sayAH65ag#$dOkJ?p
zcCv%+R<9W$Z5im>0A}=&(uuL3U^FO%>90EeAc=M6n*n`AjSrfWxVQfPb@3(7sdA>y
z!Y~MR8%`BmM+2ORR1+UQ9|@AU+{%JzCFQ3pIh7_{3v$U<vv!9x6tz#4Gb)w&Q5r)8
zplm?oiF+3gdxpQ07&{DzTlh?S4tEam6CpE$(9$hzesJ}TZ_-^hTYM2~iXJ{#0wRuu
zyLVX6*+mEhUp10A(1%HU&Vf)Jwvzrpmx2diMFKw3U?HN*slg*61?c(_v45BZS5#sJ
zI_`%+siTOG4kD(jHHDOzIGb@IhYq077UDo6W80&F<Ww#d3Spn)hcK83Dv*7c52?wE
z>2x8GxR_{-p3n(yp&;K0I83csVEI8@&Lm$UqQ^+9AUXaH1krQ)_)g(tGynAc1-?39
z1KdN@W6(zIHbE6WwjV&^K|QGl*X%gPO(2__*REaL80^J%;BN%s&Zfn#ZlYwgnew}-
zh9CtsbbJQ`M#bWS3^rJQ;Gsu=>}uFEE8S4au$xmwH*pZ)+9-#`J<*LF_dRsciH&V&
zkrmtNrDc8^GTGOqdP?&3>}HM|{Ajd?t9EvE+u5-_{6c;Yc=Xi_KO|1SaM6i4{<;q5
z{_r$R_X0#&X3(CNo32dXfU<xPrLQCdeB?n_T#0+DayxJX(i51D--8SkhT%AwiYVDG
zmpjVvt&as=-9ukC!>s~0_}!)#7*}+Ldk8!om!{xm5xRWpI-h6$Rl2E)FJ~qKItlSY
zXp#egkM-<Y0wD~?&=JHX#=Tn*1)K!Zg;xA{DV4sq63J+-CtnsxEpY7>iZ4-O_UwL;
z=99<qC*mDSrsyatBr>)l`+nRdCGrs#b%BmE^E(oT$C-H)tGsmTg7}6|UG3tcst6wp
zrq^lN`zrdnv+p0eZ1=?3ggC!Q_+eE<1-^&zg^<u^Qid#rEKyM|W2BmrmBR&H5b6GQ
z;7O?$MenL4%F>-ui=CoZQR#T8eM~B0OtaYC)wc4S8NLELX$A>d!IU2)$2&w1LWa3=
z>0+LK6N2%D^ciS6Lc(A>AZHOwbk?CXm!;%`GFb@qLB}_}#DbLycIei%6^kr-Zv1GW
Ik!)}LA9c&n-2eap

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.histogram_utils.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.histogram_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..aee23d9d197e3dc63bbf27c48d724476b63ceae7
GIT binary patch
literal 4361
zcmdT{-)|hZ5tc3ANv9tt$&USEIX$B=svy#Bg5;ra4K#)mpskB@(8L9jz*um1c}GUO
z%Pq;3?ob$L9}GAE9|D+p%RkaTr+-A>ilX1_-mdP{IF^k(Gy+ao4u|B-Hy>w)f9rhr
zpWT(}&+V8($b33vNs_CC8}HT=6_**$t$*R)`MZDW4_r^PQ=>{9bMIE55eu0nn&<wB
zcYRW~GBv~b`ZdF2D^=bu7ah?RYft=v=(&!SHsuRbZs&K>ST)fs8$70MJgGwS%IADa
zCj76$GhbPSZLhg*!C;5=V$b!$)^M@vx^sI+?n)|i?nh<B+y=8&%c!*Qll)qhi6I}>
z;*=Q!A-+2~%j&Q7q%6(`5sQyCACpe$)-0RQlovbVrq~kuVpZI7<KVI3+62cY=PU~1
z_rpS~uYraM9(@*SUMLfM%q;s<tFcVE4q&heYD0qr6Hu=vhRuf=iUysq23Z?8`}V`j
zWh7QyN9GBiE}&ThEq(###BIR%OZ@KO_bdF~AxD9gmX&)4?n=R=_HLM|q)hp51{bry
zyQ6x+(FOHIcVs;)#k=BY0juv{7ppO6w$wa~G|OYL1Xs|)6`Y5wnB66i;dDM3sPRR8
z1j3hqaL@I?F9vcJVgY5h-*Way^ORYh48~<%vEB@80^fLr(iw>#0G0bSgGS<Q;^|A{
zM<D(dMEm~-uZc83{HRVMqT`P5n?bG!t%#@U^l)Git^qNA5UboWnVSK)CC3sfC%8$-
zB8H+CBQp)gT4i@Pgtdja8w3++MHvlal?8d36|?z&t2qxc>{LbJK-_Q-eu6`N8?B#a
zJD~IFV#JAP$SoYH3@NrryFl#VwcLfb7hll2gq(3xe6?uK%L(YZFtgOsizmdzFUXNH
z;;$mCc!UeJ`h%R9+(&ea8AaI&K1gNEbAw<jJ*eV307KXblPQZp69I@`$$=<UQN@Aa
zkH3HL$>_6Bh8C5iu0S{32XAoTLj2!oIXo{G0Ty4jcjCiWMEK>-Alh%XcscU3MZ+!<
z`M)-iFD@E+B3M-;7Z)6edv2#q*GE-#^Sr583sZx7iZw-yj^DtJtF__cur7x`X8ODr
z5Qnt(lIzE%rmi7udxWh<QuhjO-EeDBGSCj~wfzkeP;Pmic-Q?iOG{MI_NMNPTyMg2
zu9;QZV}RPojb&MZ!Df9-h`o<7+?Wqbono|YRUA@pL9;lnLlt`F-PN&DmXhVd<iksD
zo0=<JjBtt@l6gq_RNRUXiI93WgDr2?5}xu(5}qPehE0cq6Xy%&EzihpQD>rUnDP^z
z`iGa@hG1zs?6^HXmB7lP{+dRq<2nhC$_b9^pE8{TD`;rWGDvz>vzU`p{<-VRyeMsm
z%!bUKPrU1uc6{{fBO~#>zdRXot(6W1%M-Lmz?n>qEqXvz+T~q3)h^!MIyZA}3-J%v
zuQxq2pjo=VJaKNN+a(7KP!hl=g+tzLr!1e8Y{CI|g7Iav!0wvnvC>JH@B-w(G1Om;
zTo)y63?Bi9Owb7Ov7CC*b$wP^6`qOQWeG-YCn#cJ%Q~Q12_y)obB3;X<aR0vpv?`%
z{!CODUM4D>X2hpmK1G|!!^M>qMPeJCNF!^0?u3anlu_Zx+{(4)Hi$#F1!oNS&#FEi
zl$ooARI95l`38OA5cIpGgYeRB3F5tpw?aDvKlkWLfj0RBEKFr4t^dQyKmXNn{el;0
zisx02+}R>Y#9%$$4L4{~<LT+?u$Wn)@}bg`AmJwgG)>^$by`uGf)%0V83JVyn03gH
z?!5OQknQVneC`;MoE@{@9AlNjD@JlVu8t8lOL0WcvItiwvBE!Gceg;uENt&)Ykp`7
zV#qgc*UZq#OhX|jBE=8ny^<>8{g%lXZrNW-TxtWLu2tiD7^W&_b7*hH0zGGpz}J@z
zC|3|-^>JC?2zqf<&!~A4_y+7zvCPNdK$8`&Ql2nnw5+$wvxq0Ss56`;IJemCdYmeD
z9C9>GX^2;#=G9B+xm)G=2|b(KdYvC|Awe&^I3x&fL(BApBj4avv4?{|7mGv<DkSts
zdWsCTB&{D(5M#G-JD_%g-e8cgk+A+2FT}UT^+;f61;Bdh#fy;<x9M5)ElSBfG)&#v
zfU_Jte`TKaBKKHRO`6hy2a`dA>7P>_`1jAOkuKf#BJV2DwquF3OsE6MT0-fi(W|4g
zD5>=jGw?KvRN7LxQhn>3u+{D@?bvHhtrlHf+8<>?TdGUf&+j##S#cXkez7VkwRyK0
zt270l-~+1P+Jm|L1!Dfp{|VO@4=^MIJjo66Zhc^z1DC{`t+-<9rp)8COptoigh;xP
OP@0}+G-@62diXDa#hQ}<

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.int_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.int_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4500bbf00a0e92ae0d4397abf906fb7b3557f291
GIT binary patch
literal 81817
zcmeHw36xw{b)dFxsavaMS;lU+T($?h1X9Z;1Wd<flWiFU!tnw)MwEY7{qCx#>Z+pZ
zmliKzwqT!ph6EL1PJqnVY_@}0Cct0}*knjZLf|Agi9;4nF#DWj2n>(}!Z7#Vx4(M-
z*Z<Ys#^p0U$E{!gzvXW4-uv!-%WY$Cn_abf75*1*?X;@3#_^e;QfV|RVW$^ws5Hyn
z#jp|ePWE=cws&i<7*Di=W1VKVT@HKkDkxE|*6NjZ*ytVZ#apm=RI7JpME&)hupHHz
z4OP85RvoXdKin%;C*rZF7S%)JQ@s5Jji|7{S??}33Rkt8^ELR4rJ?Y;Ys2FRg}2Nb
zdjuOaeri143ILj@S3M=3C@Ju(YvXYN^`UrOz19eOhq`k?JQ+k$yEfO209(XvZLQKl
zOxBm{L8k*R;d!hPEb^xfm2OM_m<!5B+TlEw>Bj4$U;#h%s#~j5)lJp2s%xv$ac$pq
zov_{6ccjw@gSma>i%P9_lL1XS`(AQQsU5bOoqd-DQ6P|Q?*o84`#7NcD)0e{BNf^+
z@}V<RYec0o(FhyEuQTlq;JfSKn(kb6RXkQ}RKnv1Svke4X9IrKbAXuV!T(Q&|1W_5
zcO$Mqu6B(uEXM0vL9N}3FIsF?y7ll^3YmfE#TW8Ad$U)mjvtD8LAUzU>Ry9rcjYD8
zd>BOCc37Hg2aR&oqT4=2w|ySEwNA_;!2$cmLZLaI16iQ<YM}N+JOSbsEVP4G)u4EM
z849xKx)3yi`iV}hQ<!hI3&5P((ORV&)C<7G!m(NeL#_ZIbjyfCMbrX-X1M6@T&BkK
z7}*cBejXRlL)Be43=(AnS@Rr_<56LWlp<iw4A)mu;UuDHi~o2BC=XgEel~DWXrdzN
z0^nSB`Pkiye<|}Ym{DEzyaR$W2}brh(8*;(%%mz^1&SBGlsYv~K`2E=nfRHi^&;x0
zS(LTHErmnPM!2WYY@v4U%od=~OZao)Qu?-=q^}6QZl$(^Mxz-8jxLYKIccP%%AZ=+
z#(^XCY_b+l9AB)@c3J^imJO|T2%7U~*h3Ly(8|0}sULX!YX_5|IKF_0n>Z1{u%eBS
z#<V&XKP9`ENGj*4Vsqj($($(08$o>b0@(?|cryY_+@;^4X)&rdRc}VN+^X49y@fOh
zU^+pVx@b-)DU?_kZ)_lcD-FmE2qcGa19p@Q+*^FWZ71MRWiN(N*sj;Wa2m|mgUw|f
zA!>l|!KWHE8{FnLs45YCam1Dg1p|n6^n%=;oiYDm6X-+91d3NTdV$F*WYc{>iF-&2
zcM$s6X{*}+d($_bSI<iJz?0qULutLX`g{G1=yhkjy5KZ*kJ(i9gHln)lUg+?I&Er&
zU@;pDrQ_gg8Kf0X&CYl&RC3z?irId$aRXO2oUb$&gIc2(uW6kCPY7N_Ct9F?#z^#g
zR3r-83t`mbJ%PbLG0PpDUc5W=;6;sgVwN|02$}K-kmq4wiibQ8o8VU;RODHGi(<|#
z4#xk-tm0t&g+75m)+F@}ApMQ(QPFrES_`{NHU^W1lwM5-)1Y(p+Xj)>Hs_d4V&0KS
z<LW;rP%gAB`X~Fa6k_j`GvJbH?EOHFcLUycOT6PVlkK7qOf9tQMOn!k_1hXgY<D`j
zyx_AZLnQ#r5P`(;$)1_sfmaG-2mL}wUrhFz!&Ey99O-_6nKX*nba-((m<D^y;c1FZ
z^}E)nG`kuoIP3*PQD=mt5<h`9z?N0<DN3I<TVXqhnr%Zv#j7usG67FE73!%}h*vlJ
z^eJOlWoiJ&0IG?2yw;!zu4z+f085+V8O^Uv2MDaye9)~&rK3T;8`{9dr*^unR<j+I
zI*UO&dR4cHlj%D^$+6d%FlQc!gA3jXBUbo>!tpTb91d`X3sZTpb3L#r;4pxmfjM{2
za$@4~A+&h)yVdb{!+f`1=SKP@s`5&88lgD28lVbr%#dtwkFVTpL}vIzPDhH>=PGUU
z<>v<wX_zf=^Duj3f>CKeAf{a_2X#67?|?tvnK{H?UxPnhTsvNC-1v&Z4YDcab=`P)
z&!G0_01DZ(nl;ZLY<wPcRlBxWi)u&1Yr#TZCE^kZoe3?uGhQ!n)AFxhfi&Oeh@G}Q
z@s$#XrILdW!iji&y#_8{P&bAs`vmrn0j8btbC%eT#t_Wr6#JBenXPgl&O-hScRRo}
z*vnl5OG0r3eUgu$kHbG{^YnO}T$yq{m&CBk?DNorVVb4?vk}@2kGJZzaxLoJK?RNl
z?FKv=eh_;fR@M$q^`xbtmrPmiFHOgzHuXb|Kq3wb0UXs;g&VYx#A{)g_R@#Ib~yy}
zFeYJU4*<QT`e5ILA3}zc=2Yz4ScXE9zKBne{Sh*dT;Rd7_;o0oNfz0|*s3XH-^UmI
zPIjV@v9CY{k}meQ@Kim?{*Ibd^q}a#Bh_j45BQl>ut9Lpc_zW}XF9>JlLSxD1;eRG
z56>poD4xA&Is4M+k`mg4-7FK^H$YoMvVA91T?V!<FQtT1@k@?1RN12_TxujMZ#T|1
zK4&zq6UXO;%gCrb!!v4jc^GA&nMUQ+hqbuI@WV4U4Y$t8T42KvnKs#XFS3cdU)s6)
zWzZGjLfFP=JEoOnP<|0zB?`Y|;9vPx5FJIQiu(*Z;~{G+XP;e<jGbaHOXaT{u)&D?
zNZL9t2cCU(NWt7j)F}j#4M6*-8d5;L6Gnw&)mph)fD}p4fH=F!FvW_cHluk`<vf|s
z%M%u2ja>)V0z<u+?tMW69OR&0yD5}-qQyX&gXv)eDK@~bQm93pus*L4%UMg~ag^f`
z4U5N^jmJbhIbRFwm68(`6;U9_*V1Rhedb><l`Cqxq0GsvWTdqtN0j+Wp+d&$Kj*=N
z#T@xN@E<<?!bpjNWUg5`(FZAf-Z%$yw=nYKh?q<u_9d7pEcRE|TIC$Xv{1Z;GKaeh
zd-oO&;S10tQmP4GOrLBK(~c6vDVvQ2qg4^ym9ugpo=uXEWF|?BK2)a_mTU91a_{y&
z#|hLW`w%DD@4-Lhkgh2dwE`v<;3v~x(9<y?1gqk05}k0dRSh7kX(BYv2_ktdf7(d>
ziPMQaGjenx`#cBwa|Cp9QPa)jj;zP2q|mM%K4M>hhS`Jg$4fH|(=tV{)w>7LYiB%G
zc=WcDhTG|<>&|#vpTH<8dA<oKOx_GKjZ^II0W?FIcpsF3#@|gv+56!iIj;~L*E0VM
z5$G%w!K8|0A&I_trt~(7zpcReKwuv>nvPYBRLH*it!O}GTeH>{$7J>=b5KhC|0N7z
z8rCoM_{pTKEA{M;P1wzNqX6H0Wn*x9W(<%SLe_UcrBqMboKk%iV57nB%+h_beg-t0
zOevCeMW#Mk@1s(Jtb5As8XzHxX7QksAgXTrgU7*7iS^0C(>D%Mn`C#QxJ<F%&Cu#Q
zc~LY{-MREu-^7c)Aw#RL<3*(lQk@nH1ZJF}n`yyM^@jK|l$Am;VIB&j*@+73^mak5
zo`MAr7Z1_E3>Q;#8IW?V6ka#lconOmd=YN}Rm7u{q9s~d_M7VaI^I5y@bMo?*hs~6
zQwM0V`p)XRteBk489{cLy-L-MKQc;-5(KGeWx^3fs{Z6F=*n5wlD$FUEQC(YhK0TG
zC1e@IzAO!!JQhtmo|5#Tq;Gl%5=J#?G=!Mk9XAcl`fxGwY>BB>_U?3C{CT!?AOO66
zGWv3^A4~5$L-LI6pa2@?xkXmHKjqpV&b4WotjOf(fb}}Y=wPo$upMz5y8sl+1=3U8
z0IQDp3wwBeDKo-@y4FCmIyB02MC`u-HQ1f-#~S49y-1`S$$dx*on-IFO0Gge%0Yf;
zG!+EJuN#5|-8ps-U?}y4816|n25suyP#gq7HUPmIB?y`uJXc4d=Luy^+)SNVq`|%q
zuz>S8$4ITSAK*_~24wtR-)Qm$u$Y0YmdLRa^Yx_~%FA)VZaXUO9?n?8lA~&~0+w=i
z7)#0fwpR$|vXz%;TPg5phl|alVX0E<1atMUQkt&^3$ul}Cag=nv~WdG?}XsrKf6$=
zLGBb?-C|W+R!BG@E#v@}KkebWbzPd?Pq(fcRo(daN6NZN!jQtdOOBWL+`-i5#MH}B
zvQ{Y?i!*lkx{+M+f3$gazM{J?RaEt_l{gnFffX|hX!1gpr>A$|H=v>e&teSxV$I$@
zs7SsJMVaI7v9I*e#{Gp(TTAv+I0V@ol`DvbPM4|VPM`*8>LZ4xPFshvkcu!n2F<wZ
zs^mhHbdCTFx0x`EkvfrbD1O<*Kambg?7}j5-3bTLwl!vaN%{=10F3SOQQvT=WLa2x
z!nA5)(+IS+#<v~93hagz7F(w@sL#)%k2WcOCzTW?3K{)n4na0K{OxR%U_AuVPYg|R
zHV&m$%GuiHS~N-rgS#czLjKDJK})ayVlKnkel>B9BDh?Ks}Q~Klj0bAh!f&7q9ZwP
zbw;uwOX!$jj%P&e8j<w@P1e^#JVNSR?iRA!`(72<n~is|nFf$iG$UD{h)a|7hx1TY
zW(NKoD=A3;>%`t=03h5~9o?+?>}H{eMj{Lv6z4?us1P*^6<j*L2wTVsHP|vFoTo_{
z9qm+`-Fl@k7Z$?f<$AXQTY5yY%M_}j9T4>!W<ePLN1H_7$xI?M0C+#t5-TgvVHXL4
zZ@}Ax1Oa}sjICo=?NI4@K|QJV)o&a2pE-@D4jdUI{Rsh?T+~#Ixe@|DhlZ1BL?H!5
zpuQk!AAJ&nq@HpImP@=8apPrc64bm4u~zZ!enPI@rr6g8a0n$%1W0kLW(<&iF+-~&
zKq^&~RLH3y%h{?l7fN-&{vEqwk!>G?dFMEv&e>B{_G6fm(s%Z+_;eYRWdEj~{vDo{
ze_DD?y&1sdt=(LNsa$#J=_##1ET~E9^M{$F+K?<^vO23xyWJ**srNv7y)j>d$tof&
zcC$Gf*K}la6Jf>?gB4&r7;L{(V}|U_Vc?pn<&w3G^a?THb-k(;KQK}gR-3@Ekr=nE
z>6!i(_d6$```RX9T@k}Ki%g&SYeKRk*o-rgrbQ!Z5<o028rwP6p(u048<Ru*61G{<
z4;zKorJ|595q>pPO3U3zfx#)qO;px^^UP$a7C33}$9Y*P&hn>?!tV@&!f$i1GR@`h
zPVc}!mlqv)X0Q0g9C$`tW1}(B1u-1o19H23nq$-8GftbygV}T$QgRP@=2D;JwDh2g
zUo2D&dM76z{>rK4AmgWZIuMzY58qDj+nC=Z5prqC2abkqixWm+x`gG3kE|QFxn$Ej
zH9j&B1}i?ovoOLo`BFbS(;*omI>G^T=xK1VUsVk*i_sCE`qnkswID_-6%cq*lGh*u
z1EX%4Y3lt_F%SnvH1@%a8kQfbv`PVe!~*Ly;Uoj_n_%aE&_037b(#fhMPlxHO5?KU
zpqNgvOH-xQ3}DGv$cVd4#F$xuH87?>CQ@AHpvcvENGyXQFTqOF!mT>!4~nq6`r;(T
z^p#;WRe+or$kYw6$`N*J?<qX5apEvVO$<rH!%nm`^2M;Up-?Qic7h^?+vfMs7BiE;
zoX|fLYV`*_YVbB8=z*UsQ|&k&cF@BJ_WB)?*E!AEHpLkmGTiYR0x!9!X>xOgJKg{d
zCsT*Q9h@{amaAd!5}yaalN$asdwRz(_zCi-Qg)onmh4#mw0r-+FumWCgSzbPP&n&~
zyAMLyA*j0scPer6;-ih>=Z3*B3w_tZn3dhqv)%7s4b$(Jp;Fp>$dub$lzn6<%Cf6K
zw@JY@wx5vT{_`*h3c`Yi?=B9;FP7R!hy{Aeou5%@Dh9<_Yk+Nb`_sNzQY3GF0248i
zCl(Tysc5>n_*Fi2Efg=)!5cCa;yoUdg)s-PBXS#s+>czKQ&!+4Ep%iwkw|JC>mg^v
zg4^<^A{nv#%=I>pk`-+7D3)RKozPZ-1;J02D5UDSbx0RE5cv-q>U~ag$xtI_#H!*w
z1YUB{p-19H&~P$!$bxXv*cN0hgzY4f^lamJU>F<)3(~1O=qQAj57YB?%SPS4NizGj
ztOSM#NS_w!6TJj2<SF;8;m4!mWxRw&Kv%g?4c1ks4q!x|u1alEF801Lg9a4240N&G
zl!5EiiN)S8;>vPhvUEMqOshRq>bD{@DYM_rCAeY()jP1#fEj^tR>gVp;0L~SQcW#8
zg;ulGtp`z9QCag$Wfcl>rs5zIAIgI!<k_d#2QtWn;2x4=nYp)7t}DQUrGz!I-YF6g
z7r&SXJvp!YQ>>Joi^c|B0?1LApht`nHh7O_25(q{V)i}2u6&iam2A^^aAAu5-QaRE
z6^WG0B>?IAL!=^QWFS{6QpR}{V?C)znvA5RBJn#<MV__+o+uSbPb-s(yh3iT9%?s<
z*e81emdO6fFxf}Z`4ZBOr|1BpY7FLK#j4IGPDm(~_hP)U$I1+l+;sbr1y#mcF^~8Z
zRV)7JNaYa~#he7<di8-%Y1MC=T9+!k^QR0o&DbT_3_+lIX2oR2dDhsORUb_4-8A5S
zUg>_dLSRpZMpr7<?GaT}cevSLRK<pZs22!E42*7{Bkd||ITaEnH(>L#9+V@Jp`;Q;
zwt)Rlu`shda3eF~RG-sS?+;xMj$A8`RQNaQx1uZgHaF!Vs`PD+VWnv?z7k^A+CznY
zP|Kw3OCgu=c4#y$E``$s;Sys189jn1L#x6gkOa@=5y-Kj$kFc+$Wxs7krO9;%ac9?
zP;#H(!}vr#0X?mZPjCoLc?oyul;DWOT64I~Gt%mUZ?JzD-@pN42|mIZ+DGVXba-Fk
zPk<HqeT6?%wc<~Wl&{c7Imc(%+E;-44t?)!1@kwG9{GI;O-uF&HskmZo8}=VDc73G
zdEA!Sg7w;l=3A-IB>5CRI1HcSA!u}^e2Ns&mcGTPiy8SCe;^n$(8rkFAJoef*5KO$
zNPod8FP&hqRfpqz__;-kK?J84!9@-oTANltU8kInr8J?$iLIF+uVfYelX#$;DN)iZ
zc|!2(XPRIA-bseUx^hR--ILSuP*=Jq+p*HLP#FW=lXyF~fgnSu;Yd`ZGVy&<65y{m
z#m>(IGr2zJL5+;A58{^5_1Q{A2YZTE<V&!_dZ#cZkMXiR=t-754=ZJ7$r!0{&V~L+
znD}agb$w>A%qUo%#5|m~h4!XrM!<do!$7ZGpv=m3ME2ys0#^f5?CQbgq`!;Q%f)nU
zoID9cCj4DFgmd}3Qco*p_WQeR0l>xULg<J!ufK~WxWD^md?J6Bo>s=+y}a9kp&kBW
zc8T-8m*CwlYVTIyQJF8nO)PMD-7I8Z8<n6lQ*O4y8UAkO8v4ZdiD$mAO7%g5&e~Qk
z5#a9LxcF(0zV`teldWL-;_|yx-4WY<CkaDtsoqxppR%xr>o&cyJbNW`Yx#ugN?I)A
zjm@D?D=Pc^@Pt*n_d_K}pc@OJlQ)rnA-x0tLTJ%}XEio{F(t}acz#Br&?i}plo~db
zzUK6rtj0|%lCm^CrRQvWfB%74;K1SEgU*SWtovn{6n8p&%-5`EsWC1e)&rD%6zPNV
z&fW&QzT_6uA#c_~h0<@`hq|T9=Hld}EjteN3^X%xaVVIw@pl|xP4oQ()8yW6A1^e=
z*}H&0D>W50_I3-+CuX2RDrg?}Ur|8l#9z<ZH0Iv!Gp{3?Op`eKAYe65ODm!n&Mrh|
zPqCTIJeTvZ(c0^+j17_bsRG-_WL@+AJfxK#|8ud@v=j{x@$}8!Pg9nxP)t<seDyNS
z^~uBGo{GI|+c1A(CS$x&GDGv2muJSxboh5eE$#5jg=W{n+k}N?_{p+kj>fZ>V5OJ~
zflo>a8^1-T<76cW141rIV}wX@QBz;$nLDv2G@MLFnm8#U_N|!eqhZ2|DNi|IzZ4fm
z9=H%sy#&qS*3#<KGkK!<`mYY45)xFTDsUKNoVr~~MF-E<Glov?hUQGcOJ*v9E7l&p
z7b|5SwWn~cRKd$C`Js=}5A}S}^!I!OKHQ%NVB*8aiDK!92|gfV%ghHWMlv{V@<<-^
zBtQNVD`n@0u||jha&%4FDx!bN44$b2*z2HL#-;a3tB7osN~+*H&}y1f#7+1V`{v+s
zav&lla|uAI8jvv*X@_&gP^6Ef80(3l5M5JN5#e_pK{<P)jG)ld%0y7E1Q(4GhQp-_
z)uKem6<&f-R<Sx@z$MyBt3Z5%cfW)%3f^SSb(GN>We4@f`VG1t9_`RCl=dR$;bI_q
zvT{w2cRXFyjXyS08A44QClP0Dm0d4ReQ;Lu98g$$;}6E1OiojA<&~xty8;`)j`hG~
z`{3P5O?Q0qf_ev+^NcLtX!3B8V1+l=mbOkqp2#8_00rjZ3VKaN?i?naAIcA9VE_l$
zVMp+ZqQLaDGCFL3r8Ymm<QVW!XKG{5OHf^J(yEJaXu_HP?UK-;uy)R`P}L1O^04rP
z+X=5VE*<B`!Uy#ma3{}Ud45ack)yDR4-w<KlK-&v<Qs&jN&9H~YUz6NHdQzN^y5uW
zW~J>6ClKjN9U*Q$#th^$W#d?rmn<^?q62*v%4VwrDIv~VTU6em*zGkC{*dR}p;FcW
z^*!kw_yg3U15bb&znCt75ukqVQb!~wSikqa^oDJkKj`3K4^MOPg6Z_9gu9mxV792~
z1H^X++%yr<PJ=tCm+l5e#ZOYR#z5I6&Jdg}cr|06+^cI-gichyZMr|2PIo^dU**7M
zO2+(4dIx@47ae$H9ls>V`WBlof+GE*yFr$7{KD}~cGC_|4Zkp>2<ncqiP9PXz*Zs2
z8|lwT2i8wk(Lp~+_!@XyGA>B(AwM~IC&Q8gGBn({n>Pc}3}`kT&@@swV=-0Q6NC|5
z*Q^IBU!4kQ>VZM&0|H>kcVJK@9g-mq4B`Mf^fY9oU$+e|iy1%dda<|S&`1Bp&iHY$
zN(eIf1pD==$PZy^@(A{8p!2kNl9Ocfp|1(YZU&O9)U4CEt%6)fG2;|$py}JKLK%Cf
zZ)S?^qATFq1xm1CQ(-%7lwpA+?&a@<NAce6#7j1ZsHxN#y9YTv#onKp;XIl*J^Efg
zvFAMkZ(z?*D<gBA!~Cf{M3zD2`?1or6e$=O>8ZJ^EMLA*?7QB+a23CLp3-w-R*I)G
z&-aTT?NR1Ff}OZ?rUt_5IB%7Vkp=pT%($D0r@Nq5e**7|@HQcVho3Cp$1&ti0xyv|
z(vqH$T*AihTTaKxo)HWnnZWxxA(C9wbfR)4@V)~LC)1Il_KJvo3A{cUCM57Y<<83@
zP>OJIrsANT+@7?0cjpIOJ58}a9Y9%Rf=D*u05jv1o+g<%aNy%qblH-A=WMoxHCYf4
zT#@wKg_W}FgR}8QNfiL$*E7S(FUrD5K_6I7b8TQz;MmjhphoGzeNZFK>KhzG5-c;v
za;68b%7dQd+>5bNcFyH?+QQ60nR<o&6ofi!Qjo(mK(hqIo>XBbj=yqnIXOm=bh$X5
zsv%@PP#S+3?@X^GuH%vpo#LdG<e+dmCuvGP5J}Es>Hh@~<FRylTA5h-p;`y-rh?V*
z!^YDw7F{drv(1Of3Q8cB5L!Q1ht_3l#pAP})Y`OwT3uIUo;R>w0527t`mGci`6nL%
zMwpI6viQnr8fLuiQ?=sHj%?IhlCtmQ@(ucnNU*9GHt`-(Wbj3U(-Q}pgzQ0V#)-a<
zbN+Jf=@r=KYjchD>f@5n@MHt|*Qr1ztf~GoRI=ku$!n^=k=}tn$RaxML{9LFDUn9V
zny&9mn9kET8}pwyEhWpgX&6!h$J9r*DAkXNfKHG8AQC4<vJ#d94`aVy@-^#;rC@x-
zCt*%}L}?Ds5@&t~nN892w%ELJ@G}6(NYOkOot+Jxr+G?Fe8h*oCNjGlD7jMc5hE+F
zGzWU<n3aD*=u3(r+$)CHz!1-w;>3+>+g-Z*=y(BkypmzotEf|oC=p~YMDd$qS7w$%
zBs$)h^~53i<pOt5&iWFn#uX4QJNLqwi!VHvZzrDbHt3x0LYv<zS3uHFQmKn(F3eIY
zts!Y@Zo&p1z3rXY@uRoBYf#rv5<AaWGQF6#aqN076fesw6zru~W7om8AW@pCk3l%>
zNFGS#B&v#)riH68c)Rc!#|uU79_~dq5syTLSXUHw#Eq<WTr0(UxGgiV=IrSCP^&+F
zbql;rh+p9+%jl=Zue2ZFy*B)9PGiYd3Mbd%oYS`waLGkYgO)2M^>%1DnKl%YQiSP?
zN%hesAtvQ1x5eSRQlqi^1qOgyUmHqKScqn^CkD{Vh+ClSW}L-_RCL)QO@9u}nPQd9
zUIbS}n!bpYvJbWGaGRgBX9ZA*jix$;*Y`=Y!S@wd@wGfK6Dz(-L`%m_1pN@VWoAXr
z5Yo@{peI@KA6O|nOLAY}yJKrsIWg4$yBEO996};rdw?R?25_XgxZIzaVw(q-lOZG|
zT`rEN4t*Iyk_IzZ2uV7Oij$rY5|K0|goNLD2<ZUOfQOLiX=Or4F9QF))>yUx(oi?J
za}bsgKGGXsW&}FR6g;{y^RSU~SPUM$Le+{N9Od8<$VFf1Xk0Rj2ae=VrSvK0)>H(@
zA2!m&V-0L(#ll8!Oa(F_Z1h^Flr?O0GQ9(T*hqBX2^--T)6@?iHoC`YDcP`^#$b8E
zM(-s8Iz9TsMw}GM+FA}d3>)3*Yu1R?$g&tV@=4ed!$x0TZi?m!8+|Do?sD(C4}DE!
z_A+Q~rNTzW-gTiy(B5Ov=n0@FDP(lL5QKptqqBVRAW*pBLfBS8qx3>b=dyptUZ>c<
ziq56a;*2t5IB+-Xi9_}uDzY0vqoxrwx)#r%>kArP5!5?Y)W~1Vh%IG_8r|$fjr@)3
zzKyVvzo_aTOJ)umZP-RaF^>P_IT??QVGSNO(sX?c!bWH2fmBYMPRB~q!c|!2un~J5
z&dS8fTQ}>pFEg~}l<4~)sQq!Hr$So^aU=X>vd_(9*z2AK#Eteljio9G88><^0he6V
z^bvB!jV_0VlW9Y7BSo0LxKSTn65>Xla&B};=}}+Y$gQs}Wm4RzIDlRlh!MdG6yA(e
z*Bw-J+2Tg8hUQGMN@g#DE8<2sW2Nk4Z3mAV38Usjj{F}rEBxQV$h{>G<P<%MiFD~0
z3Wgwt%gm6R(WCqFpeGq~FILLVnB38$KgbM}sSMc5q1y1#BU@FHI`|AUm?e7jz~FLn
z2qNinaXeK4$mo%@o6-|YuOt>AN#9X%(i1%*lBPtD@H>wl{Rp3EGcP@@O!Vl$k#0L`
zcEGn<>b)jItvr&wCx(tjY>T+YhoT-g%9Gt7r~+O{u^P%3v5|n+m8guq+{3tjML03W
z8>ML}V6*j<tmZ&Yq%qF5QPmo4IvXcXSj2>bS~jQ`Ho<l&)bmHUG}+iRHbcDDY}-x?
z2jCLGMr(#1pYe2=kKUnARX0A`knKr@%-rGQXQhToD=jt#jjmKsz$eNwEHGLpJSbU#
z+0$wm9~%TKyukotqPkPW0%ZLH-Tkbh07;(}-`SPe(G<HPGwa3tpRLCl9N7H|*mO@x
z7%Pbz7%L^jT3~3kET0Udo<MvUI_2i-mH0&Fik=e8l>itFV|7OALarPW56p<yhYeUC
z5O#W~L2ronFNQ&5$>wUP^Cz(9WK;E#$6KlZ9CvwUh1mTu^8$5v565MYnKJg#@e0G6
zsN+IDrAw78rKVnsRIPYq>8s7tIz>b<P5g&a0%XVEq|nW8mNco@uVXXIYnI-Y3R#j_
z^1-CF3~NB6D`l2k(Um4?B*lo#(W?Xt2AQMn!W^NnIi|?>Nl7642zCJXkY;AJG(#<{
z!OhSI6p+aS9IDAPkR(oEhLq510m*8H{s=ndX6W<yL}rMdlFSeXcqwM+^2M-HTLwck
zRKlJ2ooI@<?x?0rKa50<Y-@PU{*Qv?`850At6C#=UcDq3=~u1WVN#C*Azgj>Q;jat
z@845M=hyF=VC;WmGmd^YFZ<XTuNN~7y$qH5|5<APNm|_3vmT`E5omO!w0OUuN<BVW
z=T1xE;7al<f(>3xZk|0*xV#h9;1;Hk&L7~7$h#o%bR;#$7+g>ZB0FO{srl3KpFD}B
zQ5~mbJa-6ef#gG-Cy?>D;5~VWD#O3KvC^~{)q`_jlelwO3KXbq@FmSxiqY0vu<MuR
zfsG>XvruC|yjI3x5r>R%*z>9A;8aM?$oma>(37NpIabO}dQ-_d3&4R3-W!!#nZYt+
z?|Bk&vR^Y7cM9~X^OO{PufwYW%p|7Q2A7jeN9yHby0#jg?3)a}%b_a$iS$Y$o*`AL
zVx}kf{%Qa>{YE7$!5zu>;1fBL^pxO83Qud;SjIJc6qkazPN@<et>G<vOOI__nQ(62
zfOr6UFE%7ga4>h7kp^GO!@HZG2F_%&TV^2PepT!7x7TV2#yHOB4xb=NSJeMenF(?X
z|4fl5zhkON%f5ikIF9KO<Kcgs3R#lN>Vrw^5%y7NbfsL@L831m*vH+LzhT6Xe5;QO
z77cV~4;%<1;kgt*=QZnH@NBi>gUw&$>{bf%?dBr6ys+#mYA&>cMX%SpZ0)JRz<!Ll
zOtBwkmO2pwd17dlgJXdE_Z2&<6Y<8mdb50_^r~(%3VSDePS9TM@O=3-t5>bMraKq4
zgK|`ut2GK?WdV;#lZ+H|7s`ylKF>NoQBAWKHvhFC5gpZzh6T8cuh0k=z#77jR?v<*
zg`nN+!rPm|c60Iti%^o!h@xXnUuXDQH9cuxbz6pppuu_A2!(#MRTS>Mtwng@E$jlO
zPAa<f$!oeTxG+ceEgO;;+AU3j0Sw!%X5E>*dBk4PsH1zR6nOJOhyQ=_I*eK_^6G&<
zc`6P34fs!<SutCKHFh0b4<ly`9tXJCY%T9c4l?jpc?00DdS<4BXGs|+rsw9tOU{nY
z#!Az|st=x+o*@Q#zl=*)B&CGnM4VCxX#7ig5TOapg-~M<SH$`;L^$Jw=Bx~@iYsC@
zueo!j9TDFwNK9y?QC0NspU`AU&;pbqL5oj3L5oi-GojhP*sO%VpyVv{yo3phnJ%K1
zhM%Au1NvrDA?5_7qiT&>rjy9!Oi0$DAjnbAf2aXY6OLb3=;ohrXi~8^Vl&Q!V`Ckh
z#v5qqjXHRF^K8L<Ys1n@g(Yc<;e$etY}SBAS89sk3agw_j96}y3l2>oT7m@wrx1JT
zG+s!&$;pE9<WS;n=p6P=6mr&5;=w+Qa80ofW|j~+9T;6!{GMjTN=C~6XC9JDhvXrw
zG%ZH`V29*%ij;#~6g#_3xsZw}@w*a$II##w#b4$@fn1TlfEpQH5kxhkEAnY7I@ndr
z8BqU09`q!KzK4~vbBJ_xk#zNL;!4roAcHGqP<1<*%=J5<pG<!G&|!7ntr=Cn8<2CN
z>T3ZG+WND)=s<{HOb9)Qc@qY^oO;RYC``=QX;3ZeVtvtXX4G~MKuw!Hk3&m>zlz9|
zj0&htnN&at$|d-zz00J6)M~ks3eqYmf$sOgIo(qiNg`*s4}Kj!kq=H!E8~M-*J#ll
zgQciR|1Q_rqWgzQD>$$$!9jnD&L}vI79prKTX<gM1f4Ys{|ZH-mt?D>Ma4RL^;_wA
z@<|)O9&^Mdi>v9lGgT}8<Hy?)P<6hvTnL(QdD)CZ(!OIOw)Pd^iRZreHbrk$w8`(~
zYr3*quo?35_3d99B-gny*C&wLAIvjI*FqI(`svvQ_GBus2?t8N1uA7dP~y(?4*Um7
zhz>jlO5hh$T+IU|<S6hMowfMQ#{7RcEhP)SX>!sIl)yf+okRNjL_nuU|A7*m6v^sd
zj!HaG;x~NF8awD^Sv*j}Cu#P95=1jn9{pK=4?X|!7f8>)&xW`>O~Qw}rZ5YkwUwI1
zo{^~0dvZeiL{g|U&s`9bF>s#yjQ!09+%6O06#=aiu#C4|3+C#OQGrCsTmb2h)`_SJ
ziv^++tx$he>%oStuJi(1e;Q~P2x;R#nfz=y^L@hcY>gm+H$Yz;JnhPL70sD>=q)E*
zr(>mQVI~Jpi!TN{SSWJABKd(_7|9g=pzCL#0GxyiqE@bk<s*gj;oqRKzyo?k`)JMq
zMs;6ie9YO%&taJ8i5C0N8j{7QLR(44EI8e`cF#U$VN&BR{Q>ip8U*AOUgk9Im@31j
z;3P&I*7-aFHMyv1NAs-pVpl-J$&})UE>Pb##_MqVzQmRPu(3Qm43>f+j!m?Co=}n{
zyEoq0Ff@jN;Rs=yjneFTD4cPU%vw-36Qv<S(SN*!g9@$=gp-I*797tDDQK!!D0h0&
z;8Vm(E&>YMZBZNZq`7$!V8|GhLPe8tZoY$xX3&oO1Zdo-A_ZhpY+%7x3TYaPcRS=t
zW;>2WaqPu=vC=d<75~}Qryb*Mt~upksHF|;6IhW?clygJ_;|4?_Q^aTLTp3<hD$F#
z4wW;q0<p@(3abO;3d$SUvfDwa+RHhL?9IkIP*K9UP>h+lTD?(t6JP#157Lq^4`U?-
z9Ux;}pcZd}^+>3-C^+cy<Xc#m^TaNv;9^u{ihU;!XeK|#fgj(1${G2A*yQ5}cA)u@
zI!<L2OS&StqFB=BR33sSibaYs<y;E<&SO~HcES_Iu;^)JVps<{N5W%`u=5K#mqPa5
zd)vY1tfK#_<A<VNfG+M{;M%>g*okZH5j!|RA;zOADLcfBUH!V!@Hz3PfYg|FE?IHQ
zi8&rnalWcG+H}^t#5P#O1Z%HfD9uG0^;rt_{E;(FHg+*K<K)MexFGjHDr8C7avw}u
z<*@=Zx>9ilpD5!<#&au2>wpR^JbWM7d4d(*XoBZ}3R&OT6)X>^a6c=FWM%AViUpZj
zkMu>~=3K17fqkU{HhJ))*Cy6KN!*|jCB#}_(3dS{SpRe!I^}lj1U`}7qNfDAB>)Bs
zIrIS)uw}0TYnqq53TmjG!MyLpG|Px>;gi^q0!uMg#x7A=Wq4C{Qpl<Fv67|LG*xd=
zwMLo7+E9%fgak7se=3zgM(QqwbbceH3C8ZkW|r4TeK-}eBqQa6N$VVT2Q<1;Myg+g
zrHLA?jm}bRxXzCS8wMGu9b(4MYdhx2|4~UI`!nnWZWhkWa%r4?18Z<VKd%5y9`1&5
zl6Zk}Qo^eRC984z8g$By)1&xA#)+Pij1vcVDaPplB@*BU`z4#Fp$`0$y(b%}(Q?Q%
zK7&k@;e_f+!yBpp5b~PONd23tHDZphCK=ILn<+^4Lt+f%S;h|a3#A~)RBb#R#(H8N
zEBz)^O*S@(%`C5}IwKXbBva*sNoyeX1K{*ZnJS+sOJg;%!<VwNKN90(kh$8X0@Pgi
zRNA%wgOWn_%gATgzml2V(oFpjq2gxhLQ#28Oj69DBtBrKl;CP1$!exv2%T~>br7G(
zOwm)4nc@I1#Y|n+2o{GlQ9%T!1<t|7(%rpys8jy1>qPs+{oJ&pm5jCdyd_fdT4SwK
zZ^5nRKa`A+rmCb0NV=xFQPmx>O(dKsj$)mJ3j*OB)kDpO$UFnZ*37yow2s1AFvm$p
zLM6}D%Qri<lHEQtRhzct34qPG<Ow0>Yla8n@}SJn#H(+SCJvr#iFs=}F8+08=|BK@
z{bXE6oUr?TPkP@*c07rWYzIWs>0=bM7s99)^M0}|ALD4)N-fD|>e0d42sVnFuE}nI
zcPnKxU9BMP<!Ega5u=oB<zc~izpXs`RyeHn9N2yZaXOP7#vDpE0LIC~4Z}E1D3#s|
z&9>N&*Md3vGQh#D)5G{g)`^}Htdmd@!yegkuoEn{>S3u<yJ;B=)N_VeQ*A)71Uq$_
zUVUdZ=$NaG?nh9k);n7r{F9Ih|GXsKczs9JjX&{tTSyJLXt{*C|14dLM2-zx3pGh`
z7rn;orwZp}<Ap8QR9^ce&|Zm?8FP#zDc$OKEsaZ1W>dHbv8guQ5pD)WHAmS`5K%|r
zejVPel)_CAZ>e`jS-?pBep3j}(CSw<0P5Gno6PF>A`nHcexHU<q<-mXWz_GLi(wR?
z(i|>+r7Q_d4u%R~$?lh+c#Y|^Zq3oU8>}y&IrIx#6C6y{1nK(rfT}xU(I8D6N7=5c
z)XHhv_SY1~iQ1MoVH0`IskY>~0`DZ7zD1a`>RZiGc0I!E=-cPRyOq+nKB<<<cC>;*
zhIEmpy-aX_XiX~{08Q)RN@h*_n*aybw7-Q<q-p7CWi;*Oa26MAHyG+(AXCjgYZw=o
z`d)&L-Kw2i(UhZL$MkE^uHu(H>hBeNAI6n^pQ;=G_mOgC1zB?H)%z8?x%BF1oobJ%
zUPYL*>Q&87_6da9(W`gDyOq+beUdDd>S)RpY1DTMz7MTYWdop5J^aY5QNIUpaE<ye
z_(U3&o>oSq9*nB(FsPI|!Tc{ObYMWR1np|ft*ize9lO!}h@k`Xovm*t&Pbcorn|CZ
zs_uw|4oq^8TB+(?>-w5Uf9&8%3h896JJ)QwdngJ{wWVua>Li;ti!f)^x|*r%bcET_
zx~t&bN@?8$375Kew4w*LjFARjBV=G`4J;b~4ea4fW(|A@;NTkgCHO=dn4VTh1H)Ac
z<tha7;0VyAd$vObZw&~RM*~|8x*FL1h#J^@XKUc9kcweE-ioR_Vj9>ahpT}H1aFTi
zoD&r=wO~{EHBPN1>)#x~TZA~P`qdm|M-gO4{g&X}W1xOb_Kc?bH8Bv&I07L8L#toe
z0H|LNZ!)Xj`v4BEem{s$q<-lsRsHIeDRyLL8-PJ#`F=Iv`HAW+j@%Gz?5nWPFdi${
zgHFen)5Fgkt_Kuc^yI=--6VCD2C7)SB;F1=lf7j)UwpB#SLAD;9|0|Wh4Yp1Ye9Yu
zsuut*yARXR6O+}c>RN%o9^l!UwDmTyHoDnu;|jDrD4?t3E#+>z4VPAy#QQ_>Ci$jb
zgQX0IVAD?+MYYC4rx%}6X_mWDt=^e|W1!*4=tiX%kG~YR-*@zJ+glIC6ANJ@YzI-Z
z4fQ7=rUK_5LM9S^Y~<aPpzR~@b5i{5w(Ia~bJQ%C=7RDO{0iNT;bod|G|Tq+W;1HQ
zncl|7gRA4sov<9i=J?WaI3Ihl2XD5(vW8j<Oy=SuRP8{MQ~XU>59v(_kIXI+D*<Ha
zQB*+Q(u+;)u+?lwrFwWYtoIJCi6^T;UHu%3PYI9LfL2iubvv@qSUgq<=ei5f-j-uQ
zy8*O<5-@vOgf|m-$asiI^=^;1)EcdBR0<pAW(7*Y3XE<vzxU$3of<r!Wq&M%?RK+W
zf};#7^$-?oz@qjx28`pa&2D73GDfZR;%VoL(**lpAfNFT-mZp0);`Pr;8ez)$K@j(
zAQa3CTXn#x7jLe^ISbujAq0xU0jlwuu+fW8ZHMJ%y8>5)v_L+f8@vtmP&{64Hs%3M
zph&G!YPG}p+HvqH;w?cJj{efG;x#o8s?8NRNTj3$4+u*yV4#HUMo`BFx6&J+Zli<j
z*RNWguv=-CjxVA}Z3~a%`RgUKCP_&-DjluC5$+_STT7K%2Tv>kL<E%U<$$Q}i8lc<
zaN2)^ZajfTH;ZDW`5GK@0$07pJMjrR>A)c<a4QOM7+b3V%Qv=zW9lb}=qWg=Kyn%j
zAc*zaVlC>uaMjm-G!}1Zg{=~hC4|vf=CX)yaKCp6heuqfMp3IXyKmpIW5;Irfhsf2
z_QF2czOxTXcJ}q+)364C0yRoe2+4mKdp)>DCT#6}@`X<a%5G`Tmz{3#jqc_w*-Zqq
zvCd2_jOMAEYP48~E+(R24n|QWs`d_Uh^Ij&7fWh*D)3947D~t+@wU#1Mid+`Rci~?
zI{c3dX6j88{Y{-kI4qx^)!zX^ol3vy=zbVk&2k_}I}N9K;5q$an~yi3GLaB!AL+KB
zi!Gp(qFMy>=X&4{ke+6_)|dwwkcweDs)`Pr_-~cl7B0?(5aNhVKws4mR`c8upH{9n
zgCnJIF{sr`L8a1$eZ9bq+vBxi<7f}o;KUoaihwZ*;#F%@Y9R1Yi7y8tVK@ak0&$5z
zQ-UZ|!ud|`R#0NrTU?w%uc5Vh^<x}|MTOq4$Cvz>eGcu)XW>sLp1{|*uN@1~heMs}
zIk0|(zJrCi1g=3C7i*LHZa`2AT`nPK$h3y>Sgiwx()Mmgv$*$6aG|E-yB`11U^x2?
z=ZJtfofA+!T%BiiTxs(v{4>4|{%piQ*N(xT>+#Q%H^85#;Gc)^&mZEScTK>byYSDx
zjqvB`_~&N)a~uA-do%pG5C6PuEBtu{{=qxS=}LOK7M9`Fv2?W{!|Mm>#ukRRy3oPO
z3=dzX!>Q=-F4{gyyM<|w4#Rysv;>;rGHF`a#c=T#!xaY%S0ymag)z*RF^t|ajPNpy
zC@_pVFm!GiI>6m{vpEz=jy9KTV60FOLALlC)VQ)77g+NRF9$jehVJ5Av#v%r72V;y
zRHY}Z7AIt{RB5}_J{Zq-gx2~rw=MByRXhpyfabku_%?#`Q->i2IDk*Eem~BK;r&S%
z0B`JF4H^wD-2fd4<EaCth<B*Wg7tc%dQF3OW35rHcPpTcn+vGKCo5>Vgp%j-H1q!e
D>t*pL

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.json_decoder.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.json_decoder.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a81a33749e7b5de82233f7096738177e1176f000
GIT binary patch
literal 85194
zcmeHw3zQsJd8TA(Mw-#+VaXQ6W7%!_H3BrUjN^waKV=)NvE_#VlQ^Q?(_J&wrJn9i
zSG6?4Z`fpQQb33s2)k<_F*snBz#d~>SsbuKAlc>M1Oj*yFc{<G4V>gSn3uig?El|K
z)va6i-n!M@Gnzs6IUaRa-PixP|NZax|9$Tr1Mgn4Wa$$8FI?+4-D-Vyyi}>w8x_az
zgexnJa(l+92c3I5Tkh=K+8GOnTBU=2qunYyop1@1D7)2KrRCH+`#RwoEFM&A{y3|@
z!gtC+wNa0%y94f^yJBBw%pD2`f@)B6gjeCn?!DLSDO~21q4!n?%R#Z_uXARxf9dTX
zbjWz1!42VHvjiguI_}ZoP%#>^yDS`JBi$1&uT|?#XHR>w6b_eypjDl02S6cGw5(e3
zar7(7wUY0{L-;&UFU`<TD=Y10{AIFK-rsVjuuMB#5tOF!RmWZHj=Cf6@$NErQ&`^i
zdf#dJ+xGi)r!={(yuH|LH9X*hzwMg6#g@}-_}eZk1*L0Sjj3wQX>Ef6``hS1w^iT;
z6elmn`3Ha8^BeVIh4N**<pZTBOdQpobeDt!)q2I56_`l*>z)XdxhDYwPlo?bh5t{7
z|F<BOz^GQ0&^8t>Z<ea9PWZ~1Mx|YI&M#PW-w9tqOK-I)><;b;I;FPzN_VTkqW9!w
z(UemP+AXIz*(%k`Zh}kOA}(!9aH)A{2Qn6Dtxp#kQ&yw_SC;};hr%IHsM2(+)N}>T
zhG*?+)PqvB?iXg9z-?6gLeMBssT9hMnP#I7y!ElOQh`f%oT~B0E-S}cz6<zw301K@
z?g^;KS{Wm|F9J<m$ZY1?0PG&8mW7)JEm=v`9rQu4U_Qc$X(uR_8@2XK9cLPuIz=*-
z$F>y4s`Ua@R~rS`(g`oH(CTq*j~%7HQ+dH;T@FUIENB$Bg-gJ4!keOB1$%;uE|dwc
z(DpV)s4Suh+ED;a-%{9mVIerwbZ)$~<U6|vOSm4w>?dY-NjO5fLK}~!i`#W~AUwr}
zbgs^Jg=6&{1cBG|>N^&$0^+we!Hnam!qqrPLLT|<Buv=Q>`ZNk-z?!0v=XX-xjo=?
zQ0qPDWs2G1PcBR&V^SWR)}SUsL_)H7eoLzdTqcGRNkQCc62wXr1eL-{97tLK?k(=E
z$nD!>Zo9V;n*@VjPX>?n6O5$Os#RgN5|nJMq_cGFd;&z(GOLV1S42s0(vT@2RvC_a
z;mi>qCAskdJvYLo^-f9DJtX^HAp3npP{$BjaRAMBy&SYllCKjk-NCzuPsv_CY3j9^
z?)5KOuN%Xq1*xg`iA}lh=jJqA1~!57cckgmD_}8;v*5l6tYYrMMp`&I#J>~U)h{>T
z5;{|r#tf{Co$#pUA@DKa0ooz(qlh3nq)1R|feLqMPq4%u+CeRICp_80^59fIw1YOc
z2gUFeV92AXW$*!=xE$@e!qxe`(BM6(1_j@V7kn2KWL75Ddumo&4w&z{FEBWKd4@&)
zDwkIzisgiNNm=|NzbxEu$AWMlPl$l_Aj-h~u8O}u1vUQ!A78li#z>oQOsb$a3|k1p
z2>&W26;x+zJx%@k^x`FT_HuJ)g2Y7CG_XU}Wp3us71o9MxlbDJE6wB8GACPQpG|3^
zP-kBWoqyQhfPw0S!)VqUleiJ-B$v~{T+`5f+#L*8PPJ<_vM{)B#kp8<H{nc}SPJ7Q
zp&k(PNT);@oMv$c$^E=B_u@#iu7E950oz08napu?t?6U}4|}TAt_546Auwp|a^O@7
z2VjQ<`${YxxTS#BiG1yTH5W}m?>ZFWsCSK7l7i+TSI`Gvj9v(e(YuO~3X&WO*MbbH
z^(roJMQKH6R%<AP#V}E(SPh&R(GXsDeW?oD>%tpKwYGD4tJP=~s!ZBs0WVbjLcI}0
zdQd9(?MbQ(jj7?ZRTv*8<_MvL<=|-~`r6q`U);*|)<~>8GgNu@=TRQ7ilsMs`|zI=
zCYFOl9Qa72F&uMR;4c$IJgGJ)SjI_HzKchE2lhJZ-G=`VRKs%1DGv8$GF-je05ilp
zMEjwX38qT|EwE@AizfJSlSKz_q8)H$jv7Emdng>9syelbTB8X<Mc$`)jIUT#Vgm*D
zcKBNE`1+jH;-iSeAgodE0UVqyd%cfPQa+6TP;1Myff6y<s2oa-R4}o(lbJ*(+8EeT
zu&!k5R1Xj!N!VW4M{bRtq?IV1mSCU(N;&}cc=FJ2xl{v;ZJKOAVcYEo0M$5K#*3uO
zVv)^N@bqh77+R%T5eCtyPYYuXMIW7@e;X5zlH7aLntS0YgzTD5xjI!XckU8bcJH;&
zisbotU!t7;0{jDNvN1fWFea_&_)3&q%8gkPuH$4nGflVTR}((r31$Is)yXQBWXN}=
zL7AuCKT{&VLx|KD6+I~G+#@rc*=DU;t_GdEbuOm&1T^gZ1N^zm`$znUjP||(f4KAR
zMf_d5C5ycq!-2w+cibawd`JrkF>DO4<(k|#y^WYW2W^89kX6ZO1;M2l^*#?wG;LGR
zT7DMFKv6Un?MY*k-hH&_2T4)yL+}rG%jk+S=6zIn7OuFSZE@HHjlM^GBDU@2M<r*7
zUc+#>%(fkil_J~beNN~%wYr@uI0prVu$imNMrm0(q9L@b06gB3hf*TI)1Zc>0FfiP
z1ZbA^`+=h{<ajxx>$<tpZc>T*^;9~rdM2xkdH(^0a9aQ{2*!J)9R@=OXsHz-8nVOn
z_5yVfV*-##_`agvpfQcRK{MPUnco;)*~DPfuHa(##_%$VpUpHe=+Zqve6|Hv!7x6t
zD<d*|lQiR8hd&5+D@Gl!<Pz))C^$mkfQHkq$LYMFUpNB1KWf_!!(}tbu5dJgh!JQS
zr^c9j(49>v3I|vK#`S7Z-SDFe8p%ycnLxOAL@ZvP79U^SRj-olyFFro%KaX5L-*}U
z_5m&{u+O^<n<3-+lW1IO81_%i@5cmeF_)|MZX+SC60`H(1(m@465uB-nCjhU?m&sK
z@D9>|DtVLeD^!?j8o45PYf^-tGY?Dv3`9rE09BDbL=RR8+<6ZX=1GgLiO)%UE<)aX
zQUW~cy<OF;Km;!f2&q~F|0B|{lL;(pWwFwnRv@I_ll^A3B}nRhk1$14R6S1mGxH$T
zipn}jvtg5weUekXY?-Y`W~qu9y=N<FnsIszb)$LoCdOr}Ho&M#b&YF!(;zsCr+Sxy
ztK;p0KMCXOy#_rXt4IbysNR*>%AKe>6hCEVnqY5LrX}r3Zvu+(Im7&MVN>5Ppp&if
z{c0|<f!^6Dwo&gav-AWDg4{sdbWyGOL}=R?jUcpQN@!k1coa_bf=)6dlzDgz1NA(y
z{oa5}rVPC`605*fR0VeDQ2~yAUW%0{`gsL>1lGP;pfj~6TrK*$Q8Yk$8joxr9oda}
zMuy7i3B!6L8J4urCiR)4oRostrpT#TxDjS3r_jMJiw+pd$u%$<A?(w<52P42mc7Xr
zF-xWn;-iR##LK@k5C8a9|2C|&i5oqXtZ}!0DBklF@}rk@uJnRidXETfOn{P{J@Ejg
zb@x5i>=EIzGoV%kmvKb$PvD^jk;GRCmsRo>ynhi1$O0A_QCY>3dhju62<Az_@W+o3
zlJrGIUnCd)_;F}h%TP=n@FH%e@W&K0HTa{V-0md)*puc(><#<bDx+Lf7Nbofkkvag
z#DunsVU9SnWqe57Phe4oIo?c)W}Bl3V`O?6eUCUq4AIljoJf{lt8feqbNnGzvNuF0
zreQ}W<0RmiSuPrSm{}Ag_KQ5E5s5uVcxz?>lNhofm&A<v;xUjhUXAQQMvr^Gkwg?w
z;}>DLI;hdR0bFMfOL%X@PbV#hKfe=w`d#?cXISx4M0gra5*jCKKsQ;ZXW4>^Vn^LV
ziocy2alCd(fFk-+*AUtc1A4dvWT&6bX7upvsBZWd3m832ic`W4*U56?$YJ_LWK4)1
zyfPv_KW-Q^&U-C3b69c1qLB~{Zg?Y9vc(N&%pIsv1=fKAH^euh#tL|8oQo+rW)NRi
z;D&FNTGHEb(Lw4RH@uxNPwGvL8&WptmjaFjB5rtts##%|#LFUXsMNq1H(W<>!?a;a
zvsDEW{`Y?K)fOcD2;qPoNch+0L8`Tqb&zHQ!3(Gnmv$y!GxsCN$5P3}uCn33G)wgG
z-}lW!HL)aHLlOQ{X<b~?+YbHrAO4$wR>2j;^hsuI36k_`Ml5WK7dia5WB?4}sP}8L
z^aMpiZXo=(h!$-kvKL~JWr2UYdj|jLWcGRf;{wM1Hd6T?ga243y0Og15v)Y9zjg32
z3;P?1mjpk8{*n(PFUdQdj_cGs<08nPFsRLBP|{MFRAr9*(ecOT#DM$>9jvzKfFXZe
z{lJdU2IdF(o5;gIzTti?R*LK$%GHSc&BmLP+{hoBD2EC7yUCh6B2M)@SdtX*_j^PY
zl&OgLN}OAAD&jl<e{E?9<~hNDzZM}$UsQBCasht_p<yjU3Gf$jGX?ymn5hB&6y>fI
zfxq4qFS1i%9~*^bSRS>}AQ2GhcQS;8I2r?ya9Ue}NSBkMeS`fz3C)Q!K(A8*?Dui3
zWN(E|kYPVA;UwypRV<clR!I=om-5g>#Pu*?teJi$E~Gz~xQxoeF~4{n%7OWDcQ+D;
z0`q$t4A+eLVF`-){TM$H%#VDU1I&-4688REbL&*XWLMqde&->clx)iU3-W8(ujvm1
z_P2b{G^fqj-;${Ag3cmHN&-&w0JV3e%t5&fo`|wBB$<QKtH`nt1aL#dg8T?z%sy{D
zHgi}Jz%52XGzj3SP{|enJjdLD8dzW*C=ft=Bd$f=BY;;+E$OYg=qdG%0A5L$C-tUA
z04W>v3j;^>5CJ?%)vT~v;$;y5RBB+10IrV^K-oa0!7mjCc%a{$wZ#Biga>vQ;N9jy
zs`Zj}kY)qf2Xk&oDByd|Jqa?hRJ3Gg**IXDEqWaA0rOx@Y{}MB!~s>h7uWP&0N<kj
zIN-6U7z_ubHkW`(FG6Q%Ocp;5`1dHbQSYl}=?SXFalnO~1}Lq-^yly1ml=&9v@9gB
z_cTC0r56Dd_<gDZ-^-%{JPq($ScyV`{|7#1L4hRUFJcXkno3V2hsk@Ej_lv_jEsPR
z!mxfqh9#|<Nqy#EAf+I-DF!f5=-}HH9WXGEYar~WXan;D1|GX2>H3(N!Lo1GW2H^Z
z(VRfZ8o|I`(g3+a940jI71rz#!K=Rkv8T|$)1WC$8X&$(_@9z5Fb`<pMbZ$=dce@Y
zorENPQPK6tg$7;%4Qm-n(7=eBDKs#}Obr^SD7RZg1AElG$WkTK0DEi|mScI`Mw>(c
zrjs+oB;bKKvn>IpwWMe^9yr({2Z(TkK1c&;k~{lmXiS^|dYux`z=K$co6D3L3eQL$
zSrWKTp~<ijc3MrP0SBAl;U&&29C${P@`c}NY|GgICoy-uNLRdfAW5TMn1>zWsx}Oj
z?}EyfKU78zT8TU2GIoHHXC7|9et7=TJOuNY)csh=ei=$-Y({f22?uAEi^P>q0!=ju
zKm5-_8kw)3ff|+qL>5>HkV-A9C`$s3eUTi1FyHq?5>WucuY=*50bwjb0pX|c69I(D
zr#S$G_ad}P52u3DJ1ck`sf@ICaTe+2wppRZp1XyMugj(>4$Vq=qkG9YUC4@EjT+bF
z!vG_{2$I(?24)!fS5e*YvkN$dG(+|hs(ezWQ2EkhQ8Kb#1alr)Y38-**Xl8^y;a!E
zVa1#`8wt^1&L==6Tg>?ka|db=i*=yDobipQ<lSS=S4b`CeJ9Z$?;Uf#lrT@~O^rEI
zHt0Q7jw2)He4MITVN=e_BIc~rz!-BLC783(tVug9h|{RR=SII-Yzsc`C(N(|pWk90
zq*_5)2Wd7Ot7Mzxw*RrYOF?Rus;B8S8;(vhN)JchXCAeQQQ0btaI{J-<C@-cutxPC
zj$VVR!r*9XjtLz7bG9HZemMG36dNR1n58G^9EYP9vm-!c_%I{c0-fI5Q=Y1F&eOci
zu?3v4`Z(2$Z|Bhrj#7UeE1fX03^eN-@G%Re-e_PEEFQYok<;b<D;?`IdB#e1_-vqf
zrs$8zK&6#8srVeXrZmOI$ADW4oOsNl1BP33-Gpr)ZD4+I>or43_sPr*hFh<~N}HIo
zngWc#AI40Li}}GF;alRJQm!OcrHULT0Q+QXK8bki7eM|g0Q*E}N&{fytAsNv`4jU1
zV4o`u!K@Gr!2WGQlD??uwd4Y@cR<5hh7tff;${lKPBBvhU@OY)<p6d+RWPz$;hZ!N
z_DrV4Xs!rEc6^551V|eveHQM;e%Zc~6wQXTqhGR{f7$LsbK<Pf>zM#*H?fkvjT#eE
zT-8!fqMP;=V!7Mb0b%~9JX8~5-bvVQ<_=4MMegJhrcsr60&Kj7<-j|+V;u=gfp=aF
z!!_fbSc2l6e~F(6-bp^q0p59etx+N<r*P>~H@|y7#|Gh4^wlk<`Fo1C#^Cy(YN=Lz
zGvKy(gV>HjrCJVN1vh%tr>fKRTj7?%9=P4BZ~^&;+_OZF8p2zrIKD}cvoUub&)574
z2wHCz%<$%;QQh!?1qyE}gq2E@-JmQ)^JJCpB3nd2%Wp+o$e$=1bI|)IY(@etx98R?
zra<v2oX0AgV8!AyDc4HHIE0&eo}~RJM%pzv=QB{r7Uz84+<_V$VI3%NPJAP3yMS{p
z$0<w6mi$G8;mFG*?dyh<ZRwW`(Qz{%owSo|bZG=SPDSL@P$%Vte%ayhB|@D~QL)6T
zbDZ9MrSxZzmgQ>0za}~MYBR^wBy1zpilC$Z4A)D{9jLX1b)e7|e528pRj3fmq%&sN
zY0V8%oAahMdnq3kWa66ynZkLww{VFry+uM>>ryR=5H+vOg8-wTU?Q%XQr~x&`xd|l
z-P8-0fg_r{Q*1fuD0})*8l*X8)LjM7nbIu@kB;ttYc%0Xi=fdGZ?jl>LB#(HBp!Uw
z$b)ccBX$3q_kOH0>X{WDgfJ8iR_o-lTj5#~${x1IpkI=+`yumy;HEut2UGC?-rbWN
zT)4q+H=B(X1i)uXt>E|D4ZK(vPg(LF6vr$vU66CykY$&}n2mA)j$<~eTfGPi(t4^Y
znq<&F85ty=Z>G~)=?XSgm)ZLJ4={|>@}XcQ#tu~Mi5crX3`<7;V+Y^Cg^0xts8>XA
z=P$CgJ2Q50$u54&R}6E(C0}W8yD(in;M5CnNmS&%7x4P%=(qoUXem+w?|G`pzqHl@
z<N+RJvABF|BCDS<A}wMBe{=aPT&sf@vQ0HwGjI<Zh$@x`*-io8={N;)HM3JE7kh8n
zF?{oI0sh-eP|?jh3OjwckB9?K<RQJ)?O@3ln!Auz!Yw1zp-o^jJMlj6?H58b#5!%K
z<)SxdMsLoH-;9rslh$q>zEydG?%CZD#tnYA)nkQQw~CniHTX~7lQRaf(g_o*zy=J%
zM`a*lEc4e1t(%8)3utpfIBLO=rzxSJKyIbZSTa1c^k&Xf_!RSJjPmES9{4i^{MoGK
zkAU9q=$;RJ?3X@y$A2S={p20@+Uq-1LWYt$BJt-@;?K!LJc;};%@_d6&mxqAyRd4q
z)+p~Ul66~fUs5rQ)6?QiixR}hNwzBg<Q?}5LcNO8wYyuoRsdbEA#_O&t*}C(UvfF^
zhp`|I(=4SL2zy5O6zkeewD_C49TsM~(!S#5R~0=w1V{8nI%zJ-&WUF7L`^=?f^HUQ
zJDwDc72G2PQp`j}_-)-1juwb^W~PP_PK}khXp(U3V1+&5d}RZmm2z%=B8>Ot;U7;)
z{vcM`#E>Ojgb`;i+{6mWr^;J7@uI>Zd?Vk*nVQ^BrdI6|fkESSxZH9|xX@1?D)5{B
za8Vye{LL>k>cb`Ce#O@clFP6QZJ*o;2pRL`wjVTR3fu|6I|k8TlPiD+0ok(vtHvqz
z<c3%91%~56YTGST<BI;c=ytHhC2^2<3L#@#q}21s7!cI(5o>{pk-O)>uS$hNA12xh
z7AJklAifgUetCbL422fwSYX_&&v`#dR)1S!g4wXMVC**uQ}so~En2Q%?Bmd|R-_~t
z8_6>jj7^DC6O2`qo0;E<5=kJO=Z?Xe%hVfJ0}}K5s|;b|g8w<xqEYYDq^S3K_=l%v
zq%7gJ6bvnlT^56c<U&;T95y<I23$Ygs#eglp?_9r;-#;C;h+l}QnZKoVyXqkE`p`U
zk{1YYh?SWe{xxDeu`=sMlJj4$&svq_7YB?$Q<{Ved}VKCmLpfVDWG4HgFaPiPCsar
z3!AT-$?)_=#rf*}1f)l9bhWsI^mJ%g%N#OaDQA+VbQxg7oJR6FN#X_FkjNw;K~Kqk
zGf}!d-Sj-sH|BcpgcXd)A}F=shXft(T1)<-M=f9Sno>NCJyeuCx9hnWNiyud4KO6~
zn6j<ZP=*vzR?66<_bF=7{s%E=`iX<BvU~^hCoS_G?j=S0mb}u*rL`=<?p;_Z%l(aa
zZo9<f6$MyGTu8WvxiIN~jRx301`W|r590#Mr+i=9iWRLd&4JE+I1d}i%J}CNI>)pF
z*_}%}%<9R0{TJ`Ia%97Bs5p|oA{&OR0h-%p=@k%If@Z^f9Y~|uFyzx5WW!v<auDc6
zAl>A_Y)3bu$$nBi&OfmIOT{6uDcNa7SG#tb0aHqjHJ%4~a$n5X4x&>tuW2yP7-xn#
z4d$t+Zup^vod!d-E0qAVIw4SQ!=$H?H6o7XFCv=rC%we{@_vrZEViVV)vJ^4uC#Wl
zL%~B($u{X_)ZBqOw9YzE#G3I<!aa}EesU+hY?s=SXcs_I(c$hx(#uxDKdCzttM#jk
z7%Lti&AM}#^zu40$J8WTONS*SV(61zCe0nFwS{${&=!27(Uz{0US_2>B{9yO)&!J~
z3NrCcf=q$e`lOe4O0^_H)Vwwi!aC{Y&&+*WFfq0H3T<;<C<)S(GODhE<y7aq55NwP
zLnomj!R28iz23*5nUa_^fg2T;;bPWq2xfjt97E=w`7!fIz9^3*JDr6NP~xW`!L*6W
zE{o|b%B3|<XUVv3S(Dk4Q7h>f{JW7?qP#2@h>YH|^Id)nBeKnRQSmS4y!QmSEB()R
z`4zMZ%1f?rp$-wrq4)uFu`=^r&Nt<|u$u+5GF^IVBhmoxm^ENkN4@p<k8R2U$#GdM
zjx&+WT1MVW*)6%#cKGI^_w1HeP*oetqiXzTwgs$2vs+GqkBd6H#Up7fEb=a9c(C-A
zi+f-YCI#%&GANGzhYK#f<$9!g)Vnqh@g%*4sRpLETumvz0$?ESucSgfRv9Y2Wwewj
zDWz^n!HkwS5mF>?Rq!{^cVZbWl<HWvS(zQ}ZpVcwEwr<Eg*BwKP(3skWtkmJhN!*g
zSrE=rTFxd#?FsL6OE_kn(9X=%u#^^Rq0B{-gkuLM*%Qu}GeAoz=jJD+<#T!X$5UE9
zjg>Yr+(?ts;ysj_v18_d?GGgkvoJQtnGhrztcl1o=oV5~nD4gWa#y}-Ejcl8x&~^c
za#tRMhnlD|z7n0tBQkg8|4K|Sn{XBjf0{5=UsT+A<;q?8F*K|dDT#$g@=V2QQ{vRb
zY8B<`^E^|c{Y*IDJ%izv={FjF5~KTChPZKYXW1)%Pl}q2;ljyY*}OJs0rVQJRZ5<{
zaso7^u`~F}-p*uZubd+_ryn%Rh0WNr$nf+<#To1U8iZ(@y>cEjtYr?Fv6M5(ERu}u
zm20{okx8Jp?3J6k>3Lt@n41Dny-7>{s<Ky7il?!NigMj&p2W7T`!>Kz$z#g4QllAC
zNLeXklRSInD;Bno<tL!)XqlhzAT^WyI#2rkTw2SrSMI|~8J=#uSqU#lXRnCvqh;Po
zkFCVY)nh}TVV}vvG_nqU%0k1KE+BJr>4I4qS*}XFk;;*)!eQP>){0yeV)2c+Dp-Q%
zs{8;*qq!>N(;VcgTtLzV8qJ{EsCSd8vdubEh4#^Hp2}6?IHet4juTqwHJt>woY$0;
z=ZzD<oRaeMsBZY@3ppi)3s^d0dX*qKju<DNMTUkXqYSM}dT>cUYRokq8y$1XTZzpq
zwq%qOjkIe{U>Su<w#g`4%^j#i-mC*f5E$PiyzL&6QFcjfCFR~ltkL!amWv4gr0&$=
zaLNh&@*zfgUq+gp%Vd-(Gsn~<OwwTq2@?8bl)&79T3c8L3T?qR8g1!18RczKo01p>
zR9xJ3^&y4n4=EoNWa66ynF6o%$tZs&)shHN^V&QJ>tvJ%&3#)iF}0VnPDY_5NK?wF
zx(b$4owH6xdCW+!F&V|I-MN!do-~i7i)0i!K#8A%1k)xeyDTQ7D3{ha8D$uA>;>ma
z#&==MEEY*F`Ad&Z&KODeh0$A1VzI02oRSwo2(~#TDmKIn^qvJ*t^YYCt8joUr-b@7
zBy-`X%rDH$DLGG{Q$j_Sd3H(<EkvUBPD3$|dZ$=R8)?QfQx=EUOJs5qBkrYalEauy
zvXd&>jy#ISvq{dxN;I3~Z20&aolSCm4-CS1{2ncX1T1U8Ws_8p>QQep5Ah_MgsBE*
zlN2fChdZ03O-b>)B?YrdnuHYnl8aC-%O;^z$Fj}JCi&0ZjtjF%XlL=-YRD#`dT1`n
zk}8-CQF|vW2xr+OuO&t83BSKv!ZF!{c4nrAWs^_~WiFZ|96NZmJ>h&g13Z&*Zho>!
z{#PFU@obW>Vx>(C_~~0V$>S2%cv!PZD8d$<!Lne^KY7|(USjyN0JTy%Bu~OaO>7rm
zB{tT^@Z+4HOTx}-nDc%j2b#d6FGx%<8*Ubn{v~0mzNomZ%9TU%A~dWODTzo&@=WEB
zq{OL-m@3LuG&v;wogWe7!};kCOtVa@(X^8|*%KL}6(X_!LW(Yye37%(Cuh4}d$kJ4
z^F_{prZhGMU)kG~%zTk6rRMa5M!B%rc?B7szNk1my>(F7HeX}{%4(TIW+&xLu6&VF
zHzYC%7!7vjFSlCV^xS|-CUD1|xhag(3oQAo$`?r~p2qqq%5|UX5nHtG+W;#ik15+q
zZOxEE%1RlV<oP0xTi8C9BY@7KWsbm?shR9ozQ|{DX)Vhac?c_I__FbKBs^cv7h$ko
zo>NYGY9m&xo|*yO`nx>rA}iqETId$j0%U70EikJg%M^(>NjWk_ICvXLS&=ES4u)&K
z;|EL7Op%}BCvwLR`7{TaBJ@-feilhLxgz$bn($t_%@(<Y<Q(u;%s2X6fL8@XSNL4Z
z4qci56p@h)NmnH45SUX$Rz`If_NgUYBAQc6;@9*iaP-uY=xJnS$WCZ9qB;MmB{9Fe
z<FFYiQDn2U=}#sY5rtv;5uY_Nw|DbwHxjGK4A}~mY%@bHGIyYkKeG-L5m|hb@T+^s
z40*lOR&rv@VP?p6gnv?Z>ew{pgnqdY!>(IMvqEObDtdgKs8=z&_*sy~qakO_EK-j-
zAmgx(n*X7(4`bAv^_1_RhK{+vE@I<!7<q)0T^3{GN^26w#z!zVo>*5D(eY%Vq@{b%
z$cZi{K(e#!2>B<7rbrV(2+MQr##=^I%!t|OErX`|A0gj_17s0$YS2kEc7QQ1GeT}S
zF@Xy%Ge+K18<D`h@8Fn6y>GFhyPH(2n<#Un8>8e4`qYJJ4Tsq3QXuaev1E#H%6;-D
z*<M9>6uxw)h<IxGmMC4X_fr@CjjGyD@~9e*lRt%(Xq@~R`1l(gCtrR{(wWg4Lc}qu
zcx%HZk1+@%jZ2`unnA)Ie!<1bHzL)e-Z6QICvkE{ImXG4rj#G<IQi+6lvBGU1>@wK
z2`OgLvp6}WI+kr#ocz3Q$Axin+F8898sg+s56wkcxLDBM7s>QC6VBq~&y%9|guk&{
z!ZD0ZJ2O+m;^fpqnTsX~#}0mEPdH!BqIo|*aq?U9@Q=sI-;9+uv3+mf;^Z$~7(x!r
z<v(!AxG>~Ttpz8>Z~hS!G8HiIKvSCF7QRYs!j18lIS*tXo`CtsB_@~+84JlhK$xm8
zDn^ZR1<XGI4QoY8LUNHjQvvgoI5i<7MY(ytw<Frk9EJ-+Wa^Dpp9B!zl_6{)IQ0%v
zbg_icpN7$j^IxyeT9xD>^d|}75XeklON6h)USx118C}i{p}!zCryn%Rg(tX>;pvNt
z^VNF<3fqRzUxcz+=FkKe(sh!^j3XB|9Gm2re%u0yOaev|o*6<vrJJ5lf=bpQbR%=q
zA@tLrZ5#foLg*>Q)7V2rx$eW?v1#kR4e%}HF=bn+Co)t#Wu=Tw@(}tTS+vT6r|36Y
z22T&tInl2Wx|d69SqOa^D`mL3@lGXu<U)k|<q4vvPD;qvN~~NxHUt`Wa~`IVb#NAH
znC3ZZ7}Eu0ZZ2IgD<cb}$GfN;fpm`XMzU4}(uq+r9=U)eXdwN=KpG9ClTULHNZ&((
z({ROcyBxGzP6h7ps1-Rt+D%;jV(T*)G@W)EW_OL07=x%ZqzV^nVf4Ll0r`gn;rB*-
z+104==`;V)_=k<t#~h9Sd{j4la3LSqpw$NH1c&2IV&*$ubD_wxk<k6uA_l2~8|E_}
zV&;1P8=H|r_uF%8-8@I~e`us#6Ul!9D%nQzpEY-&j^wir6p?&<lW_0j&~)w#M^<c1
zwxxG`MTfl)zt&#{9jBHybyS>kLcd<|Sm%3Tjs0gTmN*III2y@U88@b8G54$j`>!x_
zOijXRgj!cPcOVKHE!`2{V@;;wx#kYk+QK?eXbZm4XiL{;JnWI$oHwo6P5G!G6W=7r
z6nL#a<H3<?Nrb3*Z5{*|1!+eJJ0-deOq$$-=DvkszHaKJHgDEvJWvv(DP>e$1<R?<
zS!b(sjPx3_Rm|EAfxLWqEccs7(nTH%9iYTdL4s)$m0cF|Sfr)(-JiZ{3Hgt%v2jAn
zv3eg(p^ci-N%j1)kx62@gHAo&$H^OZ6KSaFH9ObkOE8kuQlVfj=DJ7>BYcWk?L7p`
zL;rJKzK)9y%XOh15Xq?c3|prcQ?ARuqSQydXRL*fbYrf|B6X{Ypnk-t1wmz{zC3#Q
zY||;{K1pHt=HUYTx4B#^`Tph|g`ME&7wV-Mr_h)xkcZJvNDHyMd?Brbdr7E6o4{sv
zmV%(Q{X%HwK&jStw$pOan=_*~XU1>fk_6J)t;4rczsK{$l%8%=S6Bq8+v<_Y@s_-d
zDBiF0C>~Gj_&HWOVFF|C&%;M`Vn?QETQ?8qme1ydY}9fgPg62Md8j0jb>GNF<df~)
zKN5p5^JP8MS2IX}-WFWu%NW&;)AA5cGGCZ#VCKuol=8!!`Enj5<(zIw!OWMl2q}`Y
zDy)cz3$n}?N_8yTtjw2*ZpVeQk9HQXw}#9Ys)y#HECGbc5Vd!$1>r37WrP&9C*13n
za7;|0otdd&nJ?5rnTsX~N6!9&*fq1n8R2|21NfD4ZhkUf-kFDgJo6>QN}CvL^it-F
zQz*CnpfOW$>f}P{LbYDtFf_Yrn!RCb_#@&Pp2~1xi*xFEwCWPP;Q?#GiDAK~Kp|6^
zFZV-Jn#>n`C9YfYwj>#@{SD20`D=*@=K0Jb>Hm{3RbN!xe&x!1`4Tj&6)B0NNAgT%
zzNEydiS#PU9YL8dGWABQPa=NzWe6Krc6Qmw2T9SzlKJvW7_B(}_4=$;NuK%g93fnp
z`GT*+Ud&b|GxKHj%ahIN2aR%J^K}?1ncxa>zIxw;0o!K2tc8ZP%pvoYawcg?GcsRJ
z?S@1q0SV_!_M4gca&|X8zq)VCO@XK0xt9D@Wxk{oPh$@i<+{&WiPrJ3`!>M0l*g29
zrJf}-&^#LwR?65U&wRPpqE(jdfPSN8w!__|sMoK|ms@gaEz5j4gq1Sf+<2#w&V1RG
zxT|jQT{iOeJWM0&;M<^v$%vx8Wx9aO&7})wWn`Hz@h&Py<_kxBBUvjlU%m<YXg)#$
zOVG@h&j4vO^M!oUXTHQFjk!C+5&U`D)`~;+5FLl_!s+t@e_nD=-`8=s?CSt8UD#u~
z%jnAKz6!9kqfE>X2mMC7Rdzb=tFZ3Ua80@0YB}|w$e!;BNBEOkweEEGge!d~2&(mI
zzY`u^X_VVRwdRjcwHo!nsaHDT;2RLg^gH)-*zXS4?g@vcox0O11&tQe9|EAw@q^M#
z6TYmX-4vni{qS{|eQmdD@NIR_C>JM7<^A{;x*LFTwGMT{^;3;TP;Uf|@N!~lxY`Fe
zx89y9&Q3L2GaY!c2C&&`6H<U?W}vDMO^(thPR$`tiU+HKTO_D03>kW46%gAc4@O!}
zv(XBQHRpg+>r5OK4!fmV^mQOS+L^5auYyw0_IaU!aG>H$wx^-JH3v(rI`9fgw4Blm
zJQ)gFrLu!Wb?yq+RO`)lP$U~cDAfsv+QHP;bGQ0c_<VfwWzlK18m*#Rs#j`G3;2vf
zEeD-&ZKE9|TNxm&biz&28>tEJY0$}V4Q)3b1FwC2@`Y46T!%FHz$h13R0Eni;p$qc
zKHV-&JHYV@d_T&mcft)VP~KLhSaF)5AJ9#eFqQ}Cfg{xlBxpHP)mg}t3fGj{L8BNy
z3XiISQmwAEXPU)G@qn@9K^1haRWH?0bZf~I;BMVV@yCyvzSFKWinBAQQtO=AX2W-i
zVojnY<)C<=>Q||Xt}Rxoerd9Xgw&@%7<<AMd_uUd3P*q#AErPF@AZLqt68z)RJ8`g
z?dyaa@e_0c0RSum62{glAo5kM(!uB}sOZr+t3Y$=)1Zj8>P$80>|XMNpACd-nohF_
zY;j;VmZ>h{lS%lwdl9EcSa5@&>F?OK?cl+K<IO{X+o+E>TGQJq&Vg-E(%;qzkHs2f
zC{UvqI5Qxq00grVo^L(%jI)5VYg$ufsT+I}cXK@NCTKKZqF0?@ige=!Gd1X9C@4+B
zEUE-<XJTcz33PI%7){S;_(i{o8gh5I&OcNSO0z|`I_=irf6(9MwFavGh(A+;iT3+#
znAbiqY6JOBzZPqaa*45aQ`s%S6avB1`377jEQH$o+fC?V4H%`M8UX*P9k?5`r%|rf
zr$7g|VOWo*0?u_xmRsk{OhU$>9~^?dT*nEZwPVYWpS8c}%#^CNVyRMTIm9yD6)tn?
z2Rg7Qge$3ufH?{3RjpU5pzuMFhDwPt91R_Tx&&Y;K@}>_l;61(j9B6+29U^OXl*L`
zGKkZnLY}X{hxD`eMO;h10Dt^&2p<QBnxry$vB!5$y0tS#-n%32PIo9AWO3WbBo6>u
zgonVK2nF4f;KNQ5Nliq82de%|12h(w=Pkd5PEYurg_&;$=iOlJ4~T_e3Sd_I+$nGR
zC}2?y|7>3lf6m4~FATt+C4=zixfSr|SNP}QA^7ts{&`{q{yc?$@SXv3B?CE6ft<NO
zqRk{C-40ia>P=*`x?F_?0EG+kqEFC@@p4oN#3!^I*a?^pGn0^@nkagV^e`$tlqfdD
zdnN6!PqYsUQY*j}@L0Jm_GU>q3^umhXrl$~gm6eotp;ifG{8E$Vi$XU4=Cy%bgl<0
z(JZyV?tqT^VBWFAG0>|u{vjWX3V$3g`CPv)=0^{N7hMLLT(4pWg<91Q02ZzI1zde$
zjVhE1ldyE`hc|WS{6f19Mj8g=RNx~_C|J732}laNwVvCFHd+KQeFG}CZ3vEdvwNY2
z(V-fMT!rO0FM*pkTyp)MEBCwxEggDL69bXc<$Zl6v<4IGIvmHS_b_~=!y#`#ua`rB
z?|OL28ObJY%vk63F}Gl4^Q*AV6o^?XG!8f|?6J^j709|s*grn}I&ekMfh$yj^FF+-
zz*5#aR0y2epfKr_OKsnQcc=RWzftgAaDO89PtRFzPu}r9vA?94TDis4uoctNkcnye
zm3ywZCX&(eSVn_zN4g-R<MC^TP+lgmi7GHL4-p%+?~`P|BRAQ9WJ~rkPWHg%*I$1P
z%y7OB@Q_@tsVfA!&$6KV{7Ye>-d`Y#cDFOUr#6!OdmuOe{=$}jM=}0+HK@VaHJs#P
zPUamEGx^K8Me>NPNcc?l?&_OJdR}c<*skYxl6w99+)VtgEfbY`y-KUsHpcLX(CZg+
zi{zKKB2nt~OCmuR#ppC_JdQh4s^7tgdmS*;#JAf3HLQF)rAP#qp@6qy$8O!(^pb3&
zAE$K*m<iFoPnw49xrrXPC7Qbo-iJVQV~c>a@&!=z7p}G-x~H|CF{Y<BlFYj*H}kHv
zWuDTm3jTtmF*eLQBJApPZjn@MMWUR<y@{mfb$)LAg}3Bp;_bFfRO+>`I7xbKV+oH4
zy}mcMNdAkhNR)d0l1MWBh0o>|$wNJfMDQ2z`Y*v>pqG@HaUZQekk4QEMsA`Xvn5*N
zFCeWde}UclXLOQ!TI>7oFZ^3>=Ka`~c}lw~EKZWf*f8&iu&YC(d7b`2sL{RC-<wDl
zsK0PZZYG{&%S5GK3yYJa*EW{$h|ueca*JfAtw^%`g_lIagCNP>;_v1b$qhY;MDQ2z
z09nCbpog{2i@(s$O?1naXpO&sw5t3CcKY#R@)!O%H}l?Z%RHrB6&5E+V{DjrMA+4j
z<rc|DY(=89tG$V2f%*%7o12M`+A>k8*Mh$w>9vg|JR<b^2f0P^JzJ3|_4*}|Wa10|
zFSkg3)ssjBe*u3yD)<ZZC$972FTCvdy!)|ZpoZ0cOye&gttx+k{bqbI`3q;}X5Kbi
z<|*x}usBH?W5c{7!meJOTO_+}MWVE;y@_Oj`U`GuCOWoERO+>`I7xbKV+oH4y?$$M
zk=$V`5~W`ECXxlJ*YD5G#Q$o`M5SJj#8G%juj8LQv4bNfR>AM8!u8S5BY4g($sJx5
mJtj%)tE%;KtzCg%B{Zh-#|*>xGb8x*4&?53_Rt*b@&6BQzk^W#

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.json_encoder.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.json_encoder.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..808fafd93d55675a275d6b4fe183dc69e531bcbb
GIT binary patch
literal 25519
zcmeHQ35+DyS>9`o?%kR7uH#MO@!Dm_*7mID2;c}a@j5X+V7)MF>;*-NmY$mK>Zz*j
zu4<~PcV_HFIDjp$^dwBSu$+(}IfsaW*bzk7a->KgBM~GJU?K<-ifmyehy(=Y5)sGu
zzpIX}uIX;?%3i?o>{Pva$N&ESfB*IV_vX=wU;bQU7ypkP47;}DZ7rG2rsp@UFlN(D
zztQVhUKC%9=RX#IG_J8qU~YzfFKAdX+l3kp+i5og%Zty(Y?i7=PCHzZ?WaPk5jno6
zo7)riq&;;uuGtkf5jj!YN_}Dn?tkd?s&TK^!016t^-yi!8EcEi&wYI?=J24ytJ!4N
z1O!oRA7Yid2HD=rCMBe+Y+u{)ta!DzZnCNwMS-*4i!ei)(O#z+67*Azwi$*f#Pft_
zcEr<kv)4^t*3HJbz-m#Q9-E5H4f+(@2kklgfPJ04*FMS`%Rd=fLAZP_^el6Ix$%AV
zZs5DXL%4kUp?Y9-{c!mnGcq3t{Fc+Uf@J_4E(<`HoA`k0{KJxZ2$$T@_v)6w%Tf?x
zrq`d^(_6Q9u?fd(T3ab33jEqPU}pA>K;V1ua|?cs;b)#^2}A`BpIeRX>zYmwvs*iU
zv)8uXZwxVf%#MrNi^Ej5Cs(7`?Af>4izyU6H7bf)mKpT|tG*tXUc=5{X<1`wIfJF{
z_6i{ubM-b1zctj<fYsf=YK2w6Q07KpcI^~q*$sF5USv96XeioARy8>1ED4T1vU9zJ
zckc#P?h=f%YF|(6IgoOM#1DYK-p<HVGzJovguGA-e&DpS3^^HsTo4NEgha8zaE+tb
zaJ*p%IUlp{AA&oVvSY-B%qqx&m9`HOv5{g2CCGL`?BPp2bRZ0fOH*~&Q`sSE#}|z7
zoYOsLZHFiBGuxrHU|3#AtZjx3$2oB(=%J`#Ta9z|h7&Y;Z8MOCX1ncg);-gc@1Y+=
z^>jxh3B2gUs_&tT&>|L&{2-JCO{-=0+T!y(=hPY|b&!K@dY&JdIYG@P1<DmytJj2i
zCqeG^aLmgpTb=ew*fmLQOm_ndBJ#Wy6HmM7r6pzO=ii=!p^s5$r2=~g1oogVNed_y
zX-}}5hv7bj*x@Q?(f+f8(OzTw!HSE(F^7uH5Rjad{M|}x1N&k75u(9I6B^hb;c^JG
ztMJ+7r#74AXf=s^aTeTPDg$?#z!k7g(~yI~{KX<L4|6by+dEcd1#JiFF-3~U-yTa&
zuQ(wrG`ML{cOMtn+{F&@IRP(qziaVjTvYD}LyIh;pC629w%d=*H1Ub>Uj#;<Ez>%R
zLw*evKMSV+f)eX&HY>>V1UbKvG=!|mu8L{ZLNQHJke$UJmd(QJpT!>lxR(Lka~ina
zC)5~t%69&Z!JXSL6(WebuCPhR<2Gc9w<fp<S0l-{>}Y>Gcr;p>Tqf7go9&*Joff+~
z>~*^&;=_&^L_gE>$y~iaH2apAtu;`k4yM_mK4l}x_BD;U1L-PiYT3ff4BfrEckLQH
zN&D-4C?#tB_mI?b50&>`Ofc&G+j>U(NU5rsh?ndPZYUq)pEEPqfiM_)9Ku{(pz`}j
zGn=iXrj#$vPVV;d$rX~vy$y|qrO<ul0~At74KM<c&Xf-`3X$aK<Irg~YlZcZsG`3s
z>ZD4tgz1z|sF*O$2!wg0e1KxY$N@$m%!Tq{Mk0(DeH_9Z%$dXel+hJ5Ws;ICWj<3r
zqhiYZ>IjtiQuzSIl#v4@l-XJPxL++FXe8Q*@yDUf{*-6ZM;EA7a$6Kp)N7U^e^EY<
zVv4*n0!3agAE1~ba)5*)`^fiFGZ8P@dAw0R%t-VQqmM(6gE{B0k0#Zmf|^abC_ASE
zdq&s)?lc+=t6;7zAE1~va)1$NQ!5{4B-)74$Ds{e%EV9aBg~Zis;Hvhvn08zd@9Au
z<-`aiIbA+LF-hbABaq~5`7k4qM2tQ(Np`OI49r*=w~#(_s?AxG0<VZI!w-sCl{{R3
zor1t|#{XuMB9<Dn_Y4s+Kv<gl@d#A0=~l1Z<_?y9k(`32eUzX$wHr{GWR7EXsQ^U-
zVM`LRiRYqXS0B_ya_xsrguYjd6+Xhs8pTqVRK%IW@-h&&CVBD*o02UO_bMr}=iCc9
z+7UEe%WEROSKmSiJp~QBakx?8giW;_`1oc!)!KcEMxwofBkWy+z)pa~)aTq!=77sa
zT@e@O5VAepZHiWHFAB70NC%|5Pg6H@Zj4`LJ~W%ed=ZQumdX`gy@N<|?0z17vndor
z+g*gtBm=PhD6zJ>ZKvTx@daLC(+oU3RuK4>Oyz!z8UucT-q^l~-5c~|1{+osmmrJg
z_HmlqQFg^d<cRY*)0H`3v{Dd5cfUfD<BP?8oF2t`Nmj${#PLpR+vv)@7(=Yy&@jEG
z;Y3E*TjxAsi4wWOLcIkreg|5TyDt-DbMEg+0PUm0?hssAG%F;)ZP;qT-c7H82)5C}
zPf7$W7@JOHBf{;4&U)K2q)tqbKVIVm@vjKP|LLfRcmIT1Tz_gWs8%?u&z@}Q@W0`N
zMoa7fM7HG-Q=!B(&S0J28w8kg<Qv$jv^w3W$_269$fA(H5!q&BVAIn;;NAeD7O*oC
zEf}q~k8-pnLv+b7PPVEl=0?4X-G#8%urZv~!EopybUNMkHixTgH8lrc5wIpSdsWcv
zo8!`KVi3)~0-B{mVuVL9Cbn2WHpA~l-5#ghMh_8a=vk{tgj)w*qoAs!24`4=20*2T
z-yuSJzPEVSLwBD%iOn7~Y(T4p27=!v(SQ>!KWM@%YSf1586<h2C<^=2w7jC{kkI%a
z1dYEtE{!XLX#8E!I2&8bP}wtRQz2Y1nhtjH7q|{+^uoyRfHNppp_w8yhz#QM-oOeZ
zy3{_NK{^||G7Tt=W{>Yn>vbLZRczRthn0rj!6hxn!wN-<MlT4FKw;E2Z3oMC)9<yL
zM#Jod7F9fb-U_hhH@U!=U#gx4PX?O~Z7X^{loVQUNQ}rlhf%w2?7wNQ_&+x5gpdAH
z@X`0i<)fJaeDt9`aPPrNItG~IqE&Ns!8j>syDivgQN2Q^an2E<9-L!_oPLl6XKaWZ
zM3v3+4!8-=B=dQuOxU#=PRnWVty_o!2yzE9XrYSa7ODv05Q1}wtGEQ}_#s-F=go&2
zfzyqQb=dq($-@voWZN_?o_rH#cnP{mf(HflQ?yy3HI!HYg4MY8(Q5eru>oBSY$SZQ
ze=j%aD)fuz3Jqz{DZAqE0KQ`{kzJwE0dh>2(o&QK0|^FkVp0Z>qG^?yf)CcW4cHd%
zhh78g;D5*%IGJ381=a?(?71MqHdF)+=u4$o<(7!xMk{d4w(~IOMlc`b6G=jFCCrSb
z0U>50d1HGq@{u~UP0Z(LX1SuLkWl#Dg2L|{m%{HHMB#6M!Xi*glrg!w_pA+|`n*M^
zpS5AZ2IPh$r-c~==62O;Ta>&fR<^K3jE>b=CtE`;XsDei+D5tn_0kk_f@oTm!?mH6
z+K@tbky@fit-(turRu$+6W@dRh^#0phz!r#q)k$Y53)cxE5b_Ra)&cQBZ5xj=^rp#
zh!eFo`d>W5gg=f6{<vja{+JuUA0OH+G>=pWRx_OdWP~=i8n76#Bx_{(*L8q*f!2KT
zI$w=?-8Q)nXFxaUSrHj)#}*9wf5kX9Z#XUExL}6k^lfd8h`qK(3Z#mPx}LAh5$ex3
z5Ov^2bA}x_yJmS}p}Ot&6x3o$+XMjb7sHeAX*)2ZO_)fqiy)FHu}H8|4Pl@j$wQ$V
zF9#}Kd-M|v#%qs0&Hq`UCytUt(zDLx1t3R@7+moKIhI1KY#OekO+q#mEMwD(a4Ljc
zyy0?ZuDfi2ESE*%-XYkUU_jXM2-`<okwS-fFM!hh1Z*%JgPc~3q+l!BLivf2Ad?X~
z4cU`|M~QffijshrlvgwTW1teA)xv>2`qr<Xem+XYv~!unDwZaL9>xIC#9qj*g_KM&
zjaJX&_6WoR;ueq(WHz+h&_m=nN$**h7%(S}A+(_+3iq(3!67_m#6g6dgF@>CWNdKJ
z!VOdtaiS`GC2qk$bD<a6I|WMu6CM-ludV6e%i3BZO@8B&O#qy5nWvCibkANgurD{>
zNq)JxWu27_Ga1q-@les^N~X=j`(duLa_J>y1VO;1*Y1?f&hSzI-O#Jzmh7q+D=FIk
zFuPZ-n%cZk8)Bm<m#+$&FS7k6vZ7Z;Z@eUj&SppJ_@;_V+iOaUtGy*l6|kGLDWj^#
zTI9p<5I%#YQj(w4t@Pfe+}qLbT4HiqKT}HUn*AyJ)0ur6l^lm$QuoukE&JjXk$J38
zhw~qlf&3YbtOIFWiuLh@vX7~Jzy6j-Shl+?!e7)#D|BCrH<!Q67uVo*sHlQ8Q};_l
z*2M;Fih}O*1Q($tS)A_EC=)xe?jx`?+>hX&3^%xsqGY(uSNG>o)xPNdJheDd%+fre
z9b2&y7``X<NrH=SFu9MRsiKNnCdsDLtq*aNb=$E0O_%~oK_%9^UMxwJexx><j_x-J
zraAYoC1`3952lY)_E+9A;UxGgO#+z3)s|zmoAq3txFQFRrSb16n>qO;o96SHs}HE;
z^H8a#bdg3omskHj3eMes6@+?&erc{EHKpgV?l-slfVC5@`jPbdHfp9p+xB<+?Ow-|
zJS-V)-dJ2rv7Ow+Q1ZFSXGTXxX5|)q9UC0Jw~-n<CpM(qE|VpP_KCHzGXwG+Z|T!D
z;wRh}u$0`t1X|n|`Ld)f>x0zWoVy>txFX+U)N+OaeM*Pk+>3oH5;MF?&9KOUx^^%I
z74gfeWSL<;2T$n&bdQPo-OT4VxGLY|Z~8ocK%_7fWDD?g0xr_hIRWmi=-a&k{}f}G
zCk3Q1ynB8J1j8AefP;K7<qh&xkS7G{U7Lu!KHk$<E3GAIpC)jk3-Sjcg+!Zkr+2_6
zG1esNpmSP<Y4uXjrTdR!!Tvq3>i!dc<pjR_Z>ch5hLG=}#m3}=;#JR=BdbZn4;wI6
zBEzIcN8P_8c&<MMxZNp~C}7w-R{iKC_6vA`&}#B{epN7VB0H`wsHB*@@SBF)-4ZA}
zKMLqPHA4bSSvmn4m*v%@NJFz7iZmJ{GyqXas^%RjHT58OD>bR~yPh+r)x}XJtZ4Nl
zHA;*346V>FWj7^cIZknOginzvfGh}MKvN<F0{A@tiTvJs(}$>!uu+=m360bW==|I$
za|f~K+-Er128*&3g$YMPQCN_5r>fr}($BfdGEfSrR9?8hK&l4WW0Gw&$udSKPyBQ5
z1h~lV<BnH8=TFLJQD+KK4k3*Hn40htaH;nx&!<T1mN@!T=VCx+m&kme@lM*psk}$*
z-Mv|#@`uLoDaFVGT}t-xx4;`4lsYK0Af?N-rX;9Xl{GtYbKjNo2_$;`e%E$V&0l0K
zs#m@6xFq=w*kQ2LFL!Let=qnhQK`LG`z0>m5{DHh6?sYGrK%DfdGvE8$DWBYJQbfm
zbN>qnDpM_KfAo7p)+K*5LA?7PM1!0^`WnhEi$8izA@6B-RKUW0q1OqlVcgLV2!&_J
zI4Z1t%3I3r)X*-VX*{rv@RB%~Pgze$+QWf%y|MSE`_aq7ohMSyxyQ;Wp1SQq7<otC
zzu~mt^S@a(=04O6vT|udyT0D`8|TulOmyd+cN(n#DL!erU?5ixo8{?j#41%xY24bp
z6d1KfZfg1dO)JKSZ(28ln-&cGdibWZADyor8}Q|rvaQ~l!8M+_`1wKLDZfJ4l*Ct@
zIT9%si~Bx79))43M~U}|owTu3tco|$vS9UyjC!7vU8q>yKLeHB(*VMKg`OUur$5(E
zU&j+aKbuve5=IKAjT@c)@$8oBSRq<{Ck>*sca5P@vmgxAtnxOC5-oN#CrR=hLuJ+M
zBuYD5@Ey)vzBtQU4l&9=ho)S$S-LIz@>^gfTmsVY(Cs;8N3eago2yp-lyQP@v*&c&
zmY#HB%rzzPl;Xmz8g7Crcau8EDWf%%T^41u0}GK*MvU}|B_CHK>yjeytNWw615f6Y
zKO<$G>HxB?fH)~xSJ9#&>qiK2_bY%yh`UeG6Bl><X@Izs0$^NG_oG<ul){Rn*Ej1o
zoEUE@$<YT&xVPkfq_mB&lrjdE5_IkCKP>i3UWICZ!Kfp}rjEUUNZcFL?^IONV+qG1
zU6hr;za!aK`Mp^eyj%kRmTvnt$F+7a*x`Nza*10@-Djd)jG>&4KhiiT6v)M!U|&O{
zyh)W#rBSk*Ho<<M*G++UFvkEA{sh{JuAr1jsw7MO*T;eWRRPg+T5%1&W5s==e1PKf
zp>lxaeCQAd+;>lwSrYb0Cq%{ggCjuw<k`6{`Gm=OabG69<kawQqU^G$;dc*|C)zI*
z@Nk9pyd+tnLaU{skN4lp#XrxX*+BZK-l(MX@om~$Gb|Ga4}`;5%{h!nYe)XM)256Z
z?IK>vE;XmS^TZqQ7Ry;AWjiTv@i|T<;VsI>@D7sr>&$&f8nU)b3ZJj6sMU5LU7FZ$
zEL#qM-Zw5l`_TC21fU9=Q5#i#?&~Rj@Wk$U=a8A3b59dJQCoL5M3U9~O4Y!Bo$U~Q
zuoW$B2B=kQPzOTOz^1>XeQGjsXY)SHY6!{b-b1rL>PiAp2tUEc;Ki7-x)hhAlY+IF
zvbst<%(DPOm|Q<iPu%3<PXkOY3GSQmFn=tQr2D2F%ny!XdSxIOXnpPMUtX7!O1XY>
z?&VDXXK-S!G|Nky#3N%mm!WRUe*4OBE_3+l^DU9DtppVJE$KarugCSA3r(4nd{hdM
ze9Ht=?qk$JPN{h)yDUnroPCsQd4&>>tDLT+N1-Af#<Nr%K*kl2CMDy_J<DeShY)kW
zPETCS@uvY|PH@jKQrPAfREP^J`nS$R%7VP;Ae*ek1AH%NxL(w7@uxgoxRF_IktIOY
z>^s;2^41oG6C1#%mU+#hT%CqPg!7oVF`0O(id!}I3ZY^zU^^XmFK0cbv>C5&owgUK
z?QS-UL!9vBaFw69H+z*GP$lA4YBn9>5DvoYxN`dtLagErZA72x-i~I>Ci$7WR387q
zRaV)sJb5)FULepB#)d@_uj2YoJ`6IPymNT1%GX}d#@kHfH|lhYHGRc!6M!qgEf<Fo
ztB!E65O*x=kEeFC8M?sR>vif|Feo}PN@mHf>(+6ahaW9Mmvf>-9X6`dQNy~t9f3xa
z4dmt8m^@5EI;_Ue5yhwWu&Qmg_3H#XWNkUX6*jngp{g{&CYsiIZv*|!(nS}*73CjU
zW(Ose2nVPwf;)Z!kw*_Fvc+ZDs1>tHFKR8`zQ`|Pxi0&$ZqY&ex(&+}7jXm61S;-m
zVF$&z?o=-myqB0A&3(yr;eHD|$!0~roW(c{s`Yi*54pzdDw;zGMA<+Qoz;zD;+Y<f
zmTy?VcoXk?aML=w8s~!jpjmHPbfXG}q5Hg7abd5I!=;3yiqpic<5tVrf~ID(W)DeV
zNfF!QfT?Dhy-pVixRUXJSYANKzyc2!6QG-eyad?wLLz@s)D5j()34)BU(~t^7m@g(
zRZq9%T+)c@=bg~O6%N!_z3GHx^<yFu$|<!V>;-lJlL@f|_@OXVpOMw-bQL<klKluh
zVGufJhJ$0E4fWOp$@k+*di@F(Jw&Stoa1eP5$T{%6yLw=)qj~_vt6r;8`#w;Yz%`d
zX}aKeKu^nq8FmzP!<FUb&CSiFF5lK#@`H`#rgeT9HN)kYT|+H6C}>fq>lxZudvr~V
z)m^;hy|)3gvq7to8-_}fVXjldM81#9@*OK`@nP(!)5Z{$$Xv%NYDRW^YMLDdPj>2h
zd1~<M;x^?A?5c1Zhv~NJwzFZk@dN(d*QU%oc7Wd<T9=oHK7p$%le<Lg*zqzYYLDtW
z2*i2=mN^Ph`&_S!OJ(R{e|}rPlmi#QJ$?hn)WHKvFdQaPfqPN1^{%4hhE1&1ZH#4G
z7Ts2JO#|0doU2>NP;1xm#|G$VDQNrz+iQ8}>5hIjEkp#?B-ji24-ObUs*8(jI5Ql=
zKwy^$k`k<d6m`1FpB>JWQko_&MsF?sLU-}dh5x8NMTO$o{aw-}U&TKmt57keU{EFg
zVKuaG#C`hwJG9Cj$iAGEx9H^WR7w=|9o+uOD253q#MM0U6XcK_pCVW0Es3BFVg1t|
z7{G-(;*T1@`8{j5crrClxOQn9n{Rcyw1>d=8C(iu@KA?KwjZ|-du%4nwjAd(xUh(?
zaatgvgrt+ICy1La5%utg3&7@`b-%4w0<ZdxT%oRA$@ExJqw+?FGyOx+1QBVrYw~@`
zFS}S3va{j$NHWH3f5XQKC4OuP`g7`TS$+}B@>u*JRzHqAL!N;5LWpfKpcbK-;{Cdq
hGdiwGY_xk#NG^Ya{su*r&f??pXK;ADDz@yG{s-Kc&tm`p

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.numerical_column_stats.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.numerical_column_stats.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..5bfa5994e51b7b8a2809168096fdbf3a7c32a4f0
GIT binary patch
literal 84175
zcmeHw3z!^Nb*4s-k!JL=WJ$Iek7?Urjlde&27(a}zhq-0kYvkXC&p>lbl0f+s;9f@
zs@B8UiTPLu8!9~Fh6RHSA7<G=c6lT`WAYgSBnAu{_;>|2gg7Ld<zvHc$QlA9-gC}<
zSKX?v>h5uv`PSd(QFYaQoO{l>=bZcB*Bxu#ylTbR3j8nH9JFio=80LaT5Yzfe$b27
zRa=$rg5L~#_w;tXs&{*DCYtDY$Aeb4Q}KJz3P@3@)f?50-|XGoi#B2Mu-*t}MgFyc
zUkU52rpjJhQyZ_Xy}372n~2tg^|0X^pQ0THpt4TA;x$TFv>M%oX6bO~g+UK<K!(-V
z`zMf+)O2_Dh(@U7)M&iz0aanIwk4V<t7g<zMdO0{1JUY6z3KN3bmzQi(hI{*eXbiq
ztFe`<>eT>Sw6@alf&gB^^O~l&z@OGtyKVhr&Z`{l`16>i8?6n!BlxLT+gzKfZK$1D
zTUDEm7WTX}@H@etqe0X6=Jr%BEVnx?2D}OO96Vg^`0ZA(XP*~(hdQnKdc*JR0fK`)
zoX|a0_yEc2!>oJ&7E4~0E5xgEfV`UR1kmQQ_OI;D)mB7n>dmTu!eBAye(lN7#@gAy
z)N|qgr^5d`;s0IOUSL_LPOY4YR=2%+rx!hIp;hfR{O6Vm5z>pE$@A?lmaR5^AnbYF
z+S6;h4F<lyC<EtxFYI>w@?6JjR%#Xx_b49jN#SAp<X#j2aH4sn)S55YaNzzJaDO72
z02TC(bi8)WkU(_p<z478C18%<D9yJzRC?ftrMZ)(dKLIzpFfH9f>cZ4$+lne8ZG#F
zydKs{^)M)P{Gg4!>X=``@)v?x-amFMM#;KIT>;X#jH~m3+F96XQnd($cL`|yQWKig
zHxS+|w|3H8r8d>>FyjFT4oq6~5^oN)$AkV2eX?Fz@WWcGTACqaQmQwLDb%iBba|mZ
zH0!Fp=k8b!EuD^)(k#?PFm<cJVO5NNCjHC`@JjHd9Mr)sqe(E*L^Cc<&CGY3<hAye
zuJ9TSZ?56*qAoTA)oiB1yk@h7lC?ZrG|uHKyQBQ6`_MRO*h0QO6iu91XzUHz9{SmJ
zZRqrV=a}Eau5}bjIU*d(vJu|~&R2*$(0R&eqqZiREvEXC`9-tYLb@YeNHfuTP^H}<
z5u!BOh=h~i>9=pX)7mR*x1q#-OG~VFI~h;VqzP(qyt&(48Yvs){%Di_ds(EfL()0j
z>#+KClHceec`K1jUdIppPNNR7h9Ro0$&SM*mwiy>%##ay8!;EVZaL1Ub+RtW8~wuO
z$A{AS5sfu_o+&Ss)d!&A?<b40jarM9x6vSU6a9T`udE!N>{>sQRckw0>qDZ}9nn}R
zR@D2=qG}(MjwxCvjg#c@hPL0Vf&(g_fN0d<u!#9~7&&ZWzhl;r?$#mn_vfpv1+U)h
zMJwAUAzFkN7@|OIOg*4SNkXr4#1Fx0DFPu9I=PoegT1I=JP5|`<X&F-0hG_Tfm2^k
zL>~{P$<a@B-LiB3J{0(#M1e+7EEB#P5(>L3da+UX%^t?mFmM2U=|z*+&suXB;rA?y
z5RDJWhT0En;}Ph1qd`5PMxMa0O(P}y$AGdq6e8&@H>H(UGc*ToGL)IAU8+>*%*#C(
z+w3iI{_efSj8<+TwVJ8zh}Mc!S}*mh+7#OgqeoMLYJaK9-=1DDgvV<ebuc1c!%$T=
zjfLT8Z%4Gjq(;{b+C0V1j@4-^EsR{K3veX`{n^d+$C3o-5_>WhGsULhpDYE4#!2xj
z#dX){G3<P(#nEHdL)rd`cB5XYhrPQg!EvwCgh!*(u=SW(_k^0=(`;7pUNRjmgV+Ey
zn-r`&XY{q$pcUH-!wq&hN|QPR+l-IAKWJ^=c@+${7QCZ4xRTzZ<TXpu<Cb`su7*>&
z(<^Jr_G7(M>>5#hZ93;rsaDP+{G4l=^|0<W>bJsRPz)?eym!QD&XZJ=`|F(C8wMhG
z6*N@yIa54rBUQw06t`IrwA)!`cyASs#OkWixbQlx3FSm<!LX9oVJ-YgfsFBcZL`Hu
zkGoMZZXwfzNX#@c8OI6(jqPeTMK2QQ)M3O~UQ#~+<G8^`be9whYZFzwhjU!rYM!*f
zau75xUqpVQq?uM52QuIW4$_0yxG9A;iJO!~j#*Kb*WfvWn@i6x9cVSxaH*lHm17}c
z+vQKCie%NJ+<GWoG7N>-T`E`fsU<X+O~?UIJJinKRy->@gb}<gn$4EM+Z8umrfa75
zx>{uQO(_W&;uw-(_hK>Bo;RuXY;iQ1yL!hLo2vKqq3XWc{Z6W26yv7q0Y%kyqgQ_(
zkiT!ytC%rH18YSy<cLK5wi)?QCL?RkFq%CGnLsl?ts0a*@L^xhuHcbGoDL%&SwV8}
zLtm`mQjdQw=SF83b0tDt6|m}&k}NwGcm8d5>x@BzIasRwgO2-ZKeWe4sv<MotNo)9
z>&a0M`|E@lZj#a-yD3KKW7&kd#ULt3vg6`G9YTz%)hl^e);})F$-cn}8-(33EaCQQ
z?B-a*PRnjs7Q5{zD7y!ybPyW#ZBb}Ns|};7u+=ffRnge<746TD(SBhj?a^2(fmX0R
zn5AF01*#^Z@p_Xc*$k9uHAV=M8vet!QCDRX1enmg*KLI5V_u`{+r&ku2HkeM)d|bN
zg4YRO(QV;`9tMJJpGk9!=|;bm{tQq7_HpWP_Sn*di)2~=2Ap0-*TP;6MRA0Ht${~2
z4u33<#U|lRQEUW30k#3l`vdrc;VvKo!uQh9=}vgf$3bipJW2yD!$Lhax;KUdq;&W>
zzzgJbql^ZFS<K7lYY&NO%3EGux@j+j>3eTUDX8h5yi7z0*WbcBT@D<g5mOrjhqzke
z5GmB;ZWgI6D;cb0$FW*&7Sdw+yv4^l=E+!tY(<=5PX{vcLL6NvD;LDUF2+(#+~U=c
zRr@c6^rhk!>;+H)t3fVy2|l4}vP-elq4|Rv{%x38T<UQ?^-a`Qu#r2WRVzw{`;JyY
z-|2xx$<XH)j;L=r)cHQ3N~rUtDZM3k-;L?>JF#e558)hI82UU8kR4bL8#+ZJ{$x-i
zV9nc!b#{L+4YLC5lG^+}$ZBZwDy$|NK$nMSj!<UyW@HP8t&~cb0Y(Hr9O|H*OMDRr
z7L0h9QE*+b9`sGy{L3zrSdx+`E;_(vH^R1;g6<qar??0rY2_7CHiD8=2*4gjTBq2b
z36lHAilV*C!zwr>b?`c$W`LWp{6k0xz^Ab0(?SAVJ94~MufXz<pyZW8SR^G<%}!qJ
z1*OA6h<<?UNBqXTlH173)l&Qxm*O{yN|AjXbDXsw(M2aOb{k-*;05|uR9T37Ls+{6
zm~J)R(t^2kJN}Nh<8KFT2hLU)?U;xr=j(o>T8_<~ijgNQilfg)=q_V5l`}pQI(Z0J
z0pWbCSSYt6GGD2tKtWUNUyHPZ{en0CXZVkbE755wV&+=alL=xC8}kAIOO$3rXs58k
zU8UW-1>zXcGALAMZHN%w7Au=@B6yRSD}qIC9as%zR0(h}$1mlOLjAT|zGD?MBGvm?
z-UHnMuCc1m*DJldT=5M0qHS2<6gvg}AveCVG!t`p_{pqNN2EgBE22|myZnWA%?s**
z*|JmOJd;gKez4m*8>=|oQ({BT=MC9K4M|UG28BHAbhu5z;cbkAT>u5Mr@)^yR^ptl
z=Hu9|er((kttmZv$33x$aw@@M_l~H)f+@!3NGqr`>*(i&r`X0mY()vIhcr+)_Otl3
zh^d&E^fBHge?m#qg@sA~4^Jwsk94F1&wm_3;g)8Gj0#I?r7f&$+c#ukvs~ZIC8NsP
zs`h5ghR6lSdP+x>2m`vAnue}d^LqF&kN;4LLw5C5D8W?gGE>U}sBc$!qt7hm2@JtH
zLjCp3&m>sv(rq*?MCJ=e@+<eo`|cYR55yE!5`<g@1;s4GTVuJ>`-5q`GT>OM!-NKD
z9BY8F3TQ!-g+!C-kFVLGFQz(}*!gYJijUnEYt9F=o8v|ivxxxmlALsbZlB4n+d#<D
zSQ+uL6ha4b1rV>OAV1Shs>IuH)=zgD_68(9rgav`xK>O{#@PMc+)eIRu_l?FfI=4o
z=;JU7Vts1&L)>VA%}4xic^DCbNNyDp>draf%hZKk===DB111ZA=v8Tn78YNzMJw4R
zlvlDr2NocD^>0823-Rf3eCn#FWAJ1yGvLlgtoj(((OxHp-!r?0_qKdZ3%J@B4(n<K
zQTD=vLf-aV5ziWmt6RGJ1*K{omdhddWV+t9s$TAW)o<GYpT2r<2fR(?jXt-e9k5~*
zSwlU?y>f;xU{CEb(!k+NhUNx44;e#ct%&%l!j2D1=$qCkWwjEU%hk|FTU5_h>~`UR
zX26@~YU}|9Ed58t$?ayI0rh8L;er|LLZs8p4{bx(W=OTj2LFuIej`_b3Q3XC+#=ZP
zG@9n>&*|$(m<sFzj1R})98^&lQJ+*wwCrZiuA4;lGW<@D$<SZnHlgLx=ZO0^YVQ9N
zjKAy|H}=!Ss~Pr7<6X3t%S0hL>bK%E4L90Fm@HwO1<W)pRRy{L+W_9orcgsS0-{LU
zDaeI4#eNG4&FW0(jK%O4>(4p7WjRU}!&}L4sc*V#I&g6r7sx)M*papzah&^4S5WYu
zfJPn^yceG+D4?gs2@0;oU80?Eq%px&!^Q-hrXfOteM!?M+S&0JTF3lywI1LGtZI3_
z;T_pqnrp$X$mf@?@*05;2x3ai0PD4pS8|{wf7*TMA&{CmMzal7_K^KSl{fnAl8zW8
zqhbNWIsLiMnX4DM<;`L)THEHTMoP{7(U##il^mR*gnK#L*B}#&i$5(bUzD+&?FZQv
zxQFDT0>^3{{9@{yv4C$isy1)CW5iA$?Y93sR+g>5gM?93N$xP}F=At^)=ZA4Fa#XY
z1*Q+oSgUl}8k>K1?d*9_OniZ%T&$EW6rkZslZG{9VWcXGUpD`DWz%wPoR<D;lQ@a#
z4opVrxHjo4F76vBjZBLXy|z~D%cwNi+1W+#q<TQ%82;+a#t))=#bWq<P=8j~5sTqn
z9MF7b9|K-2atwcZnxj)8JQocGk)J>*(e@Pw?qP=TFT^c&6t#<?AI*JotIFqxh5Hmy
zJ<POqS_?Ab--(9_prcg5{xw6D_vjsO(<Q3T!kVZnu%0Ei%E*DiGI6aW(z<9pIG%}U
z{am9}Ia;RWiN=JV2)Qp+-SU;^?6c)}4o>mI`bRjoq*{WheNV`BGOT$aeuHi4AYIrj
z-h`jc(k(RIUoKa?My1=J4XnW}B{=2;(~5MHVkrSnEA;3Vt`Z2=?|bx)cf`ne^p5)q
z5~88k=+a>ug{xuih$#~=bu%3&1Ba>1`>;0~w#^%BPPaQ5A<g@#4lZeeX~6ZmSbetR
zG3^}=c<#p3oJg7<I4y<cx{@e0iKDUXwNSoNl1;YYWTQ4vqa-4vdLy;w{-IhkHfzug
zKO7Wl+v*sE(c+|Akp#ZX<92w=vgOFpS7LHlNuda5ya4oM$#M2f|AF?z%e+n<M;2<R
zZM?C$^;uP^GsrZYE>bGiOne$MO$&d!AKI5W*pA=?rQ~o2S4f1NuD@p<hdU)&?_3I7
zu);?e{R*5RgD-gINlFlu7U}_>LxTO^?)jt|Gi<vt>W|z}wpan^{%CXO+qt=8t^qg#
zx%Bc-<eOMd@pbq>ea1P(k6*3$c}Mi(k#b12ZN%k*?#5~F*GHz<SBV$drbb{ZsBSs2
zl|P}R{d<Ulo`f=}--<_MOIDBDBFQFK^o}vil)raedWf$pFTrX}*iv6=x7s_aC0zDZ
zEw!4wV`#mn5XYhU;L9#g76d^{v7%J-qY;ob#kLpWADB+q4-Gl`*-N1o$mbEO#d?7n
zn=2x$cZxrx9?vM!JZU^Hz)bnoW37-XcYVpxv-)n6c6Dyj%z20+OP?ZDbEfU1^-udq
zRGGbpq<>lebP{kyHWre8rb$xkiDEW5JCm4*l_MG@)g<7`UIygC`51IomJ4vj?;LQw
z4W9^brKiOKTn|?3^YbHxTZdllgcJ<{w!R@b2BkK(VA`jHClcZjgL`RBvG~#Hf8JoC
z%<IoDi4~dVj&hixQ@g`caa({Puz_Nk75%Wg?3+RGrvJCQOEzZvCY5)IuaMwOiXpbG
zCs>F)maJ*~_uz;L5EbbCz8kFyq?W|q+UoLOl*pZtyBn<heaMs-9{%I(3f%CpsK9}S
z;ullB4S0C?{U+3{lFo7Xf^DAvMXU{W7d1!9rdQ2alQ%qpxgqUGNc1s^v$Q1L_euN}
zvD)`gu|{7xE89ROR9`J=m!Y^^@@}*KC)uobH{{2hxLmU#V{2{wjB(1X?xF&Ry5pA=
zb>DPQokfD4LvSRiz3XH;4M|Ygd0IB5#+W^)7V3&}YtyMfgKbFC_v=3`n_f3(MFmN&
za5&#qj*GKvD9(|Bt8S9q;8KNAnYr7Iq_;nt)+}zsdSs@~r>G=gHF@WwDw%|4&PQc;
z3!uT8kFwUYy4LS@vnd&1Hi{D%<ENn}NekCMEzU;iIE+1j24DoUQN7H@58!hO>h>F<
z{;UysY&Ocp0nIxW0aq4zHp;Q@fuc$P;^+tgE*P4)c)c*vppn@}2wZp-9J?hZo#q7w
z&v$kO{xLk~&%L_~`u_kqm2G2xjIy6%pUABO*hXA-wzT(Jh(Q2}=%b?TAfkb=aC5t$
zh%n4oiq~YDzg&dT643b~W||iLy+0a$$O`q<-a)-?xFirC+C(VEstAO`#8_Mf>ELu8
zKiJ53Y~&ys9(!xI{n6ZQH}Rf7f?Q6l`+M+#u<qp6LHuNeMlmPPcAFr6a)GF1kQ^pu
zq_CU#(^$o^5YMpx2-=ISga1qoNl$9VSVizN_AgLyCMyX#Q+!Np9Zaw>W$U0L-MM+x
zO7Skrl^pC;ye4h;-7{rV?7MxKi*gWfFLtw>fZv}}(vi&qT(r*C*K}P#a>Xpb9?X>A
zDm>Y-Lm2i9C|@IWy>B`#wZ2I~VpkMt8bP#|LXNC(z>pZSV8jx$z<6QRtaqyUWY4`K
z&6AS*P0W;Eay*<OT4Ht#yuWL(ax6DdrfFdtAe-wj4?b66pS;Ga?QdK<P-Y)tlF(cI
z)5&g%+$$vXOd}z2c^L&1S_mzpJ0(m9E>B#|z~%8f$K~ILPlU_U(<0&W3qBm$JM=bW
zFz<L?#K}?YLPm;Garq@4X!5oZ+FWcSHP1-9x%6(}3CZ@7wARKO+c13=l*tT%(p`!i
ziQ>M{hg7cR!*^pJx?(CCPWoXp?Q5#}F2p-~f<&{9eHDu#nQPH)oo}>Yk=bpfW_y+%
zf9;u4hTHa*93O4UzMn~%IYxJjQ`4laA^Rj0`os^FiSOXVm%(mZu21~*sZR+BIY;_>
zV^FkJtN_5geC>r=KkE9V)PVgGE0|(G&#ei_V?4>~LCnF4{HY=`-5y|kCFY%Fo1hS-
z(^`Lw4Zv{44)+JHnddDN(!*`VC-QLgl;Yt8!Qe{=-UECP?+5!8^Kw8@s+Z&DChO#J
z2j+xrBpWhQ({{#i2qJnl-Y8|F*!Afkjp8n1r^>a|T?Da@%(UquBvZ*n;18Q=dsXv`
zy9muX_8crG<|5YPsa7|UD^TG6#=Rx;txe0-nY5%i1s4^%Q?qlR(0>P~fSg_?PJ!zc
zVT(@@5^_2Pb1TAbf`7py_(51-@Iqf5>V>`hCb%0w>@UVWhst3T%%!x4RgtbKHkVt0
zgfCehU7kc!)}k2*_Eifyg_%{q6_?4#9xuXT2@r&sX<8VG{($dk2<@Pr%mlkkJ&^%s
z>UTwIl$r#z<gOx3pwaxDkfYD2UykOnsX0gUub`y;K{pGo=?~$&w@CA(gdV_5`6WcA
zeTGcCybRF+<<O~yN+zT}59TJ$gmQ|Y#CVS{TtsI=IWLDwEy$g4;*Y~y!rRB<C-vbM
zGmvncWU+?Y9`mJNi{(p?NzKNwFF>}uIF+ckNbBMU=*3&7ePtTv{1M_*dTTJk7ML^Y
zQ6crutX+ax(zX=>v!t(5YV82Ci1nGlKBnMs*2JU?_US1l*cXxSptlNLyWm&rBL=jF
z-q+7*8Y0+tY<HAp4vq+&1M)C?X}W%z5W-n1*Am~WFBupM_yL(k1(L2({<N*|g^CHq
zgMQ6Gb^#U>3;KnDl0k%kf?|g9lFa(k0)1D_+I+AxpwLAQ^wafNhWbl;ld9Am4z5fI
zDfJEZOIOMup8_{-!Cdiu|Ab0U*-cpc6#Mnusv<-B<s^caX%Q@DP~R-VWEnCZ#Z1$}
z2=ou?VN)^$^_FomUn#*y=37vJ-!4KMMeDagj-1gtwjpP@Qlq3JkJj%i(mcufdofdf
z)|)mt8Kyf!*+0xpmKn+xiqjpT>|v-i8K{2%-u96v$^8%dr;}kSGO&=`wV!bW$udlp
zy|qx7Dy^)Nrz1@LG>{9&&SqfJn1Y9?e~(XuNz>EfgsF#*;eKh@RzFfq`s!g1ppsOj
zhN{u$m-P8ex_uONWz4`nDX|f2R%aeO=3cQL3{UF8)@gy;FF_@FuI0sl4YRMam<v$5
zexV#2;UAkb8JImItJ%mlVKK4Dd&n8t=}gM{i&oR5Z6$jQB)`Zpd6uTjsC?P<dO~{t
zMRX@;TyD(Fo+4&urEV&iJ^4W?DSHm8!4!LTZfy`@H~Se<#Rm@06q)-tZ8<9|+XEg@
z>9y9OytA?gpi=Gu58@MfKzd5?fP&y*W@WDp!fMq&Hc}rrG+4uFO80<Edw3*U*U$es
zM(Q%_;NGvEyHl8mldp0ual}b7ka(|s-?)4aj0Mjpe=3tge(!{0LUF`NGmss}Vn*xt
zekYT%G{5JfN!u(|hC&zF@1<+F^m@yrr<2c{6H@Bu^R@|}$8|Ec9?AVtDJpw6Rx-uj
zm0KgE@AEJR_kH&%LeueR$R>TCY!~=GrQ2GM^7_7yL#5pJeFC4z_t8_D@8bjy<NFQ=
zNB!eXKL|$Z{e~U^N~+TR-_ni+b^H2xKu27xGY{?qzb5osVjSsOZu-Els9Z~Y1gKdU
z^MdR27w!l33uR!)6aI~2MR8B4*~q?+#f;Vy{y3AeG*9TFNn0@XFciATo-j+(r7v7I
zy`H?`mxQGHdBYvj8%kSEX9B8mVA^M;ux$MX@`w}oPcGO;dc-f1dJ?hYB6H5spllm>
zM5W_epYnRd5>(1P;@S8_9+95XJR&D}D35rw+X-86Y2&Y!N0d}8SC6RMH-JafnFsfX
z&&}OAOpo|%m1~K6M9spuN7P@0M^rDAfgz9hBE^d09#ONAU4zAp)+64SNm-glbkU?O
z7`qS(ed0Z$;{EdQh^jdfaukxv>k(!C*a%U2#Q0~Wuq?!irdTJpW=N0t49vmDh%H5I
zdh`t0<QVapsxGbLTA%WI#Jiys?h#*$PvjBlDa|8tf`{>lWj@_s_U3{z;G}graeSoS
z@%mwB3|$nadP;7dvUatcmz;KU*D$!dc|d7{%UY({q<5-Z(N~xB6sVh>G1s%ror=35
z_ea&k$tC@vVwa1_+0%5I)$GGq%xGQGr!y(*FMdsvHX-a@D0GosQr?~+-P5wvQW_7v
zLrBo+s?0q!FMOdNiWO5OFrlqR7q-!8J1Te9RQW9)xV)+cE8km3I^Kf0YeEh8MpmBc
zE9}2xTc+4|ax10qhRf3k?Oy}D_?8y$ZE!ZSyqE#Z3Ys5vo5ziZ;j-An-MO&i!4c+j
za5}$VJ>rWSS@cpl9-mBJ)oSpQjI@N|e4{puHpBWcpRRdn`bWUO!jHDs3E?h~POA&2
zAKmJAT9el-KuWk805l{#-f~rjuT{~LaP14-55lulpdcu4zSU7BsH6d%r$q1TR0$lO
zE}JrWxC=)r@Yj?=7KC@sNLqABlh-suzte8Py(GL|Zo^%gPe;0A34yMm3U{9%onqnh
z|7S0Wdi3noeg7YM-~Un3zR&&vbDXt*Ep(Ru36K47A#vG<>{oyb@d6++bsTWke}Sgj
z*e2JgbC4{Etx+G}2vp|9yyU{nRhVg7_}KnyV$Vp`ak+j!BZZPgl#vK{d|Hu)&_c>>
zkfWbe#C{)aaL$F4D{_=7Zt>Kz=HZtPRdBRp206wsN%~dAe^3xR;|yP)nz@kjGN6(V
zlP<?68Ya<G$}mZc2?pKob3NRzTgC&4h94HGJImn=o1y2?Bw0g@g&eTFE|tbVdJVxk
z>kF=*Q!kX7Q(%4*2qnE&W(VdssJu%Ya#OsCk1ecoVb{XVs0Uij_=bO`xZoPvn0?EH
zD>d&}9SgugjqY6RI(WCp1Bfhjl7oh&J<DT=l?Dpe3rRT#3aOX38x~O(02a|9Gy^!A
zP`1N$-pTI*9o!_o9-qi0($nIY#4;Q#1Q+~5lnB@TRz`Bgai!tGLIr-82w2Ah!=gqu
zg+tiLdJ-?P%cg_P;1UjC#7#liIlpvS^W@FvL#*4Jufqk%_#Vz+!fq~lJ6(f(IoySG
z1&kLLnuqu`9-ZqcpfC?s*+5L;JW<DQ*)MI=`=5n67MuBhK;??Q^s5Lw;k8j^=y|{^
zdFM$dm`yTp)|N|;n_lg~HpRbluqpo9X6eTib6mDK+nZ^|vX5dh1T#G#hnvv_sN+Qx
zM<|HC!eg7O1d&SL!?7Au$!L}Tu-o`ZW*cknBiSE@O!i^<du1JPJ+ocGcd{#R9}h1o
zaGd#$U(5)@xOHQb-3<jVk~^wgXITF4Sh4BIzqz3*<01@RN$%?hew5&7`t<{=HrXtQ
z(dy=?s36IWRbaPbBHNN(fpM&GPG(RYgY#nL`N{&~qpe?0$tJcaH^6|$D!3@Sf&sXJ
zbqvl8xPU<njT2WfT$xR37B6(PNMpFHejiI}FhGW+c#q2GxJGM(^`vyKD7vaPTjM;f
zY^eNcOTLobT6Yu5kSVX}dPQ~xZgz?a9HtAuq?oStMx;>4ZoMW}X3Q2CvdP(13)-z$
zb9Opfi(jnP8kg4GCIvfoTdcF)AIlYMkDKM$M1ZuDR?l@S$A_}(&cRFe7jV!!F*@`*
zNBpoC@p^K1cHWX$2g_7s2j{s4=Drr?%bCs2ycQ)}*I{5(>{^t+&ZcC5Yf(6XF@73?
zOd72IY4KVVS9HfNf{Wl)fOl##M&&`iLm8cEZCm$mnXEBkft>x^S!ZrN{W*}61wjhF
zvI~JFDeTgWX7_`uSY&vj)NdrGP6J$K!ytkx-X)@2Csbk1Y3@1Xbzmw=;SGH5k_B*Y
zFM6nYtLb%4!d=xcyG1vaOFLdTpVDsj)Xk(K=i)zk@qB>6r<dD!l>}81TyV~v<hUr^
zya`4GiRLTCbpmTIF2Zs-h4L)SG%d!oX;UZ@(fYY=qv3~TI_&M9o-~Vmnsuf&5l!Hi
zay|4HdhySC7B;#Zhp&LW3w#AGO6L#@T_s~^<nek~(^?DDt1!39FIeZ(>#=*(`;Lll
z$jut_sJCgzWu1>9?@2!lALuN*<lQm&$<+I}d$8}0;nA6ptZN+Gh!q!$pA6TBK%}@4
zrcUIgCpBG4kuyYC6AI2`5S{eLxnnnUEPeQU=O9fK5{LzYcAc;_vI80>ZJPXPcbc~h
zQu{px7|dP;iF2Me$leNR2V-#NnEC^QG%^p1SK-iCs4qR+%zbE(dOro3vSJZadkZo5
zGlMdhJ+u-!HAff|WAtwg(ni5s2=?R0MdBCBexzKQ<Vbg3P6MiB6y?nUAz!>c9qu{i
zh-q5;P#-y>!8(AgonrebDLV-N*q+639oKRQp)|8kgYe`w#Cu#YgP<_<c);rsU@pN4
zK6t5i2iNF$3u3X4W)dlG%#%oDLP%TwR4gM$yZRJcM(LI|voA|;vI2@r@h14m(uPcf
zw;EX^yCeT$6MjalxOBn|Z?c2POHVp*f1HAXGZ{qQgmcHX?5kiBMz)il?Pgv$NHc{L
zvKdShywY7eW_vFmq~=RT#^3~A!S)s4F{}efn4^ROrkEo~y5|huF_k!@AqoMz5~r%a
z(fZe-Mk}*Ob`7_0SLG;Gtnk5j+??xoSXcHKx}zy}5hWej3aq;d>8`j%?oQ0qZ}^~A
zVMgc52~xh0QH@IjSX|le;#$P2T0fgBt=5!W$$@KcE7DAIWN(2SSpf;!N+CUD$B3m@
z@Hq017ipdx1bzfF<(J~tBo@Z4am;vvL2)HjG9zdDNN$1$bu>;Q`a7P7NtWq;55!LD
z@%jGgq<SEq3#mu8brH+=B*-9F3S?&zck@UHNr~NBVML2ncyOI@_Z*IF_)3+>p<#Tb
z3Oy~(N|i%RZ(+m>_x2$kA;ZL3`4G%Dy9=<Ey5cqDT7@9=!eBNDIwDC!EJ$%&%fm~I
zE!bPF-a?<^KkQy~`W8D-wAD6yX~Q;^cZuK6!I>1>05l0GfLOD`1AgG(%DwSf=befN
zVufkalsP8W_r!A9Tps|%FE+7`MAN`wtZ#F2P1aqN-5mF1T{aQ9C+lv^uG;{*OgCUI
z*hmDwMJMZcOVX{UoLs`24t1Yl=ON{>1)7`T-6GF`q?rzMOa79-VO?}(0@1e!)o{*s
z<XM<03jkl|5El754ufVd%={gogS)%e;1ey(q^HGkcQ*vyLc8IYgZix__Imq=^?C+n
zLpZ<bq&u|=j`_g#@sD80t#`IZe3#G~85P;KIol(?L*<Pg{#9H>nL9kOSQc}Pt6<tM
z!y|rB@gUtJVhJ|aKOW0vbA1qxh;`(i$3~*F0&LTSYaz1_Ak{Gw{vYApBAf6&9Y9+0
z<)ngS(BCGMWMG3X3jl-e5M6GA{&zqJH|T$lPh`;PX>knt^|1Qe6BD4r4LkJI=qNTH
zNwS78<&NDVy408*UuS&*Bd%ZAw&Zc4CWBb;U#PrGeDjfJR?K|sspA>vh-TAPdqfzY
zh=xqA3FjTLY(pDxUP*2Xj%4Sx;9AIRBa$7n;E#b0EV2d9(tByXm-a3xL;uKj|4ekO
zfo-=e0BpBIXt{0oJ`gy!-B;oh*=~AT9NT>@T&oJl1<?K=2@?%~7g>h;%3;HBqG<@L
zeOfXA7e&TQ_8R>f%!c@78|&Z14w$;$D?8l&4V5?g(<L2l3pN$B)C;QlsgbtJQg>t7
zo@h&rWaqWiTEeV>WXCM^OX1xjTk2F@mu7l-Xdc<<8-!*IY@=lXV51%4%59?`06Msh
zeh)s8ji#r?vC%h#wT=&aSp#qWR}C;RC>z3FJI0Gv!7;17KK>DGxAo4p;C~{tW{`0E
zlPd2L2TUxM#qIc9tJTOrOde58NVnrugw6M_$FdD?$ElLs5jT>Z*N$sBvo9gpF+2Vd
zc(=%QyiXsH)_iGWCbkxmP5+qCl7VfyEC6h}Lv*=q`pQ$KO<#piWYg(sacugv-8MwY
z{>-l7LvI+#)LK;lOoqPmhto8KA%9ge@D}Z?&X)t2dG>?7uxPPa^@7<-tK-k|ce97-
z6P-CQ<k&%&v4&i38BM^Ecl>ZP`UI}Rcw-x^GePj_p}vXnnsDpsD%TRfmq$vUyn{ZG
zU|hZjFAUt1KW)}MT`_^X2;0_YkCHS4+0(EXs$ZW#@RU5N!)2@Y@aE4nV{FWyP*o{i
z(QoVqUzXY6l;a4V51C-%*qF0UKaSvFb_MP^Yf*t?uO)slb=zq58L1tTb0N86AR~v(
zB|lcHtrljFN}K$y{gA%MZK@eH=Z*_Jl0u9W_uf^`&;B##xR3lfu40YpeQ7grTc%6p
z?QNNtjKU5&pwXerwFUh8Q44rz`f{tmYxBuVZVh#bOe+RE6-ry=2+?s<moUvTI9%E{
zbxA+N4>#W~G|L$mnp;6He<?*$bQGwXKbBi0@LxDRG=#uItjukey3I<%_nLmSgncaV
zL$xw@6h*22!9I#Dm|}k<8sZ*)nl=!{h#N+ilNdh)t$*_;u3ka^p#uVW4s->*xjj^D
zR4`vDw$s|%hl}uBE*AbgW||f;NZO83z2y5!6&jRgQavc&|2YqvkTLe<D%gY_r$MRX
zFSL&NRdTVhy*dTLkiW{^P;*`Ie}!Dm{hxmcA5wPg;3q49h=m3AMwSdeErgem!j|Pf
z#VU?DZo|Vu|B*XIe@qQYPilr6g?5VmGZdW3O4{3__?Xytl3-)Xz7t2fGpkv8q?i_E
zrvr-=FI&4Y94#j;(iHn<A9f<=#ZCe2MOml|CKdZU{*;oAY@f&OZMKG{OCM<v`#he8
zneumf>txK>*(_pNCNTH~MJS=Q_RobJIk#dU#f2E0DPAVl+M}H|yLWabvDRMtXvILs
zTKly?Zj`as9=~%ey@pSOyU^3(;4Z&W56bhfopL1SLE_^1dPN@yIrMS4lDHutn5QKn
z7+LDfiM=JjLI`FtAYYA@tQ8HCqhIw~85i=duL41tx{}_}<d_Fn7T>ONE%B8rlAVdO
z8`tSC94pZ;YzDqjv7$IyqS?safW^enl5s9$E<ufln6FL5W9)>KH9XlwzBiM|6olj5
zkSQ<1@saEb+z5xLz=3e!7gH+@goAb;P}~s<S^&>-?0)!StfX}PHp2*W$$kvAD7O3I
z&xnVyO5OMb=SI4%mi-U$iTho}8qt$Xi}-{~$!vULwK5<Mkb!@+)#)drW-6~F_i+Em
z`I;|>`z{V>KC=^0+9D749ZRs3eSrXm_ChS}C0MFC;y$xmg^KhY@;^!3M|ypy>zC^D
zr4uE%Et9;u8p>xSQHsf)v>j{)z;XCb>KdP9Ks>#CJQ&TvZ5Qna%dN+^&8y(xiE}QP
zz4(H209!!@18{;TYr)Vp>~@+#3E2-<%0Q|MXD`T;Dytyrhi=6JAHCxpSn;EG+}E#a
zNQsr_OqrcbJ3zLJE5^>Eiowpq9B1uc1zM%K`UD^z&n-f!9Q<62nWjY?(I4?R<3wqO
z$B(-)j>H2=;C!_ZE|4PO#ZZil(Be>TV$GrUR><W<EnW;CQcw&0WcKX1v$9bO9Va;B
z0zXz*%taf%6bG2%%&IveE<LFkLKH$GjzGbg>>(sV@g{*pBv_MzL^#rIib-D?)F}Q1
zx<Nd@_M&NM!!><ahTIis18Q*2!SJ&v>B!KAcR_KcW~EEmKpXDEO!+(9R`6}ovz5Rs
zHe2cx9M>l;2G>^*#fOW~Ot{1ch-ukv6QaPjjaU=~kBInhMVcpV;3JqRzeozly+6oJ
zlxYdrt&lC};c5}5slP4wK9t!9WFn#eRsVFd{~`AZ2|cs-OE5}$PB~?gok@UEGI~_P
zbbwLB)eJBSzjH9^v>g(RqNl|Hqi%!<7`6e9Vi8ariW+(?5GQR2AZo@5L}7DB1Vdc_
zBFblh<<J&ksPk2>B|gt41r%SdBj1bVI^w7D4TRubqL@$|fYJ<PFTi3J4S;%SCXp!s
z)U}W)F921^uD}gIi3%J56n-)Fac}_YWUQog|7-e;kpWO$;$f^(Hvq-Ck#3)5&qDy}
zC9YzPpjoCx0LrCgLjq9m9yL=70#NtoYrX`aTpZARW;>y@MFyZ8>rI3)k?_;fUZ@}q
zC0}o{OQ=U*@aaq!_ylgvKjL>3{FI$Y8DsVZtaXb0xu{$QJh8rKbP{C!(qAKDv;K36
z^#=UZGT^7{o$%9DUL&yZCwDRfrOJapy)uSBxeL{G8vv9$sj44S<_4g?%@yODMHPd6
z19NZyO7ryz0HA(Ygi<;9`X88STEr0}2B6q=5X_6kCW*<d$8%F_4y!%`xts{pFW^H8
z0)?Nfs30~4RS1DP^)$P%OgkYFs8b+Q*09fvAqpW-+o9l0_7DQ4c#}Y&60Au<pd9Jq
zIFqudE(9u`U%SyX1nOrb&us1r*aKBK=Lq-*lyqbW)PX|EAlAF=$4vQq+%}Ft3HKJm
zpxhs|DBRz{-Ia?_PLRaQAxD-D8;~HjaKr*Bh(q08q<PX5-in#>3#Kp*^?SLAGVKAI
zfoy~0Pzi%c7UA_!W*=da&|lX-oy4J#dxeCaX#*q<B^{^?%d#^G97+a~N|+8DinyAA
zL*aLhLwz2fXi*eBEe;OlHQRJ~csXp*zl#A#9UO8)!)%PkA&{wylE_r7@EN$1WiQ^5
zOKYX%T@dEAw`ysWh%nS|W&Q|g`5uVR^#18CMUH+Eqxz1@6+N<~&y9$&HL+r9b0Psp
ztrG8TuKq8@pW^V9<}LdX788T7)=A07S5Vm>%r#W2Ad8&6re~YjRi|gFfE!nN97xLx
zV{OT<zzt)G3LG#Nelb<ngt25#h)<*9Ix75Tw|r+dVaBM|bU9ft7S@q_#m~7=eZtLT
zu{+(o%g%`~)-Omj{W~(kST1F=VJv;oOl(}>X6d1SUzWbu#Zp6#f=?2|ay4HwnSBE|
zxyTsS*?mpDx=(MpSz21z^DWVt`=VOEc15ds3^q!Yn%#x=Nw|}&Q}^Z?uw?~Sc;MaU
zrS?hKW!@}>C)>XMs_?Esvnzwaj-zHzv2Jb!mq^&Mlv_uz;R)F-_1Yplm*bV!V5Vu|
zL;FKF7lV^5&2Z%+9fIWyq*wTZc1b}3Sj`9OR;l@wqowoUU$1!t4xxvTAhxuqkH>vy
z?)I4IMGJB{!JW6mhZJxJKUuyqX2fl9XHqv`#tY^v)fXso{79_mbccguU$NNe!$fL&
zQq#{Cf_gp%1!ppg26miNcB5A#Xds)*f7lKE@*oWrGRb83gwiirz46AT;d_J7@ZAE;
zW?z8BImglL`;ay-vms1K;A#o2Ou^M0=}t@Qg^FKMY7(&C@e;MOPea<?+J}h-u!9yS
z=NSJ#P}2TL+azDgidS$-9hnr<JNQa9ntJ5vXV{%Ry_+G?0&m-nnWovRfgnKTfqu3D
zuHIIslbjOwt(*+C3YX1bem*Elrd9OuWK-;EMM%VXBuUsB5Z-x^IT0@#!JQ!rY*j8%
zSQVgD&{_f$ehN1|NhSbu$;AKCcn5|`L>fvk6W6IXs@)`)tBN#Q%H;~oq^L{CWdk6d
zXt-!md0Zwh!@OK3b~;5Dqa;)8#v-Jd@)!qsTo0LZ$^%<dOdeQ)mPckkm1vlZNeZE1
zG5}Sff&&dB+n9ld;dhRP-2v_7Xc#?ZqG8!>5@6k(V_YSHynFEx(EvN+47&n4Y_z7*
z@PeS{o0|bx09oiWr|x$Zb@UXcuC^h`xtZGYq8$(x@Jo4i^ZOll)1^F6m)MPKq>wj2
z@)TZeC+yeVbu*1&CTml*RXiA}oe#EVWtQ$l<3X$2sX%mfK6LBaShT6q?R5NRSQhUO
zL>uIrM!o6x4n*tVq=XRGd<VT~OSM($hV@1;JKt%+%y+Zei^gAu@mruTN#1-QnmFP&
z{f-y5I*@+?06<tO4tGDmkM+D7xOTaD6n;*MpWRLaer*g}mGYcdIf`GQx-~#o2L}FI
z=Uc51*1-D4$Ngi`#=x(Hz{B#1`BrD42XAP0s0~*fEi6FR0E(Q#70d0i-|*>88Sh~(
zlSqMNsF8oxFE(`icB=!|Li@-3MsNShXtL%t)Xz217XL&Ycm?}EyMau!CR$VV=ekFr
zyiLcwP7`<qDd6PB1$Z-oXHfarsNP-Crh2p84a<JB(!y&!0n+G(^SdwJ9n|6ZO#5Tm
z?{r$7GQ`4FxbYMCjHFiJ>VVCyZfKXXhDzy0)3GnHBG{)uPoqt|Tup<_eWv{(mN^11
zR5=<zXMi&)+YM+_FWT6EK)vf7@qy!2_`T9^_M%feKAiAXEm!?E=m%5-=N|wc<i(@F
zk$Sb<?)dX{*n&77ZSuMRKI>P}$~q|3#wv_P;ovZ#c)(bCfzwf)CQScBft%?KaJLzt
z`1PxH;CHL7@`(jhsZ;zD?N;F9YD<-qw4@T2kJW=ZSJBPoYCXVVFEpe%55hPQt(6_3
zc7C)08WTVlfK9)xCVbl{l9ll?)}VKDFWP}mPzfCOfN4O&SXvcCzP{rfS3f~Tw_vXV
z&1oJ1MQqd;>S6CiEB@yHu8B6a{dO7H;zMt&5X&~;8;ldm*gc|BEezYi-aUJcA3r|J
zN9D7v&XGM;|JWW#8SLpr+c5``0y)ZXbvXzs1i`F>_q(5Z!83ugn>zEAST*=YS97MU
zCWONwgW0+t&QmqDaG?QJOoZMX^rC85>+N3`O@mG@lvVds<d=gsYRKKuDZ$BR=$$Cn
z>PKn~_#gClb)$u<zad!gprgH_3;j9(Mx9E(`Ok8r1y_}E)=tB45V{bEkM}p=GO-YH
zAMLiGicMgY!g>h&=XT(3(4JPM-kb*=kcMF^nu?%1XQw;GUzqdZc-8PE)K&BS5K7x#
zflcB^%l?8_Z<M`iwc`f?(YMNP9_xXZh}Llv0euqGtKO{ELE*zPKd6e7VGC3Q>Joyb
z1XZZ|^Fi-+Fk;qQybg$7LuvEs$2fM2D!pHeFZnZj3;LIP;7<@u;A@PBFcEz?5Y*1T
z9R|wy9X!qR;OhEuacWlL-ufp)!rIy3I-W=Ho9WY{HT7Vj1saRd-s4!-boBnEGY0`P
z42XLH11Qd{-CR4uUX5P*F8p%>JUP1^|7>0jf41SDkKvyO@lP}kf8K<DKDiG5JcNJF
znSeh#@y{8P@aHW2^BDg5CH^U|hd)04c^LnE1^-;Q0scH2|J;jz-id#%+X#Pdz(4on
zp9k;{-lRphZ85x%h2f<w3=j5ac=$iVgQFQ9F3s@hQHIBp(h*a1av1GCr9HZ|43HK}
z5|~POb2r*(c0|&mjg>kcRRC%Tn#JFsy_M;>x|(lzI<RQaaTn%V4b`_P>9*KQm3qP|
zaYEKgnYLQxgX`>s=&QHK%MxE!M3dkRDy=SB>|V4ULZb$BFlYlr1Z%Gl@9zQizq5B8
y*fY2a8!ROBrT`ofuTVJ!>-Bo|n!4`#IvfYpt%5CX9YGU5Sw+7kOgz`3+5ZP-Pt!2~

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.order_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.order_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a0c949c029c5f1f1aa6c294d45889850b9fd85cd
GIT binary patch
literal 47478
zcmdsAd5k1idEaA>o!Q%7JJ_?c6xgu6_U;VWfUWg`*K2IA*P30~I5u)jyQaHls%pEt
zny%_S9A7{%cBq8IO-N8coK_$R93Udxc1S`J5h4^qxP%nvpG1l{A}qllQS$rVRqs_-
zRaf`SfCfw6sebj2?|$F=-uGTTI{xlcpWnd#i+6@?*K3`fv+MO%P<O&!yrmx0x=p7Q
z^`7h<cw_IOUL~ID*k{6^+o?IdcmrzGT(42@IIZ4&y?6&zkGw`WC)!VjPA&3+mTK;f
zyA$r@eZ7i16^}<=)Nr&{@tzZ%y3?_a290jBWu5E<OCBmveN-QNt#g*($f@;~9)k}9
zoF7lLZ9o+D+}-h1RiWT+jwb}<3-MUPYdO7z?xGz}+fmf<7P}EJCJZ-w^^mZctTpT~
zL?NEXTXvH_ZK-$L$&W?5cB<nnQJro)8QIJ9s^{)>XWVV>UU#!Q8=soLD|9;H{Hd_z
z*o*VEmsi`Jzz1Ez`4e|mJ5D<Y=WntjTcF#S2f*Px2XwxU7pP8j=*-E7a4sM^Rcnk+
z)E&K_>x95~-|<b|MR!9y?zQU9S&g`y?(PeLq5C2b^b-9468yg({~sW1L9mX;aIC~*
zZQJYg;wzg$z1wiEv4#Mn7hl0!9U7*QJFyV;?5=ycdq^YQQ^S&O$+4qu$EhxM>{iV+
zs5h^uH=jwp_PN7Ec+jA=Yz0e0p$w{T1l6bFDF~ju+_BrPM)~;WW5f$f0ASfIyKye`
zLTf4LSYVTP+N*c%h6Q$7XS@h1XaS6FjWDT;Rsd>_E5e1V)?K18M?v!=TwE92eWVn*
zazZS6HKckyu|`T1STx72m^4GVXqxIU5rY1(MDdZML6ca#*l?^0GY??kFrspx7r$x<
zy_ieJ>t(CRU#t%mF%TgMgNYi$6jRgmM9vHwFpuC(HS}OjNeQ$%@k~OI%4K$EIXq}x
zcG;;j^mKqJNCiFbWbN%%D~RmW^b=2Twn=4@KNDq`fVecvDMLJUw%Irwwr!dWx3oJB
z4E<@RM>=u}y)26vU>);l8>b{30-D#P6X1@=2ZxbjN$lYonJjrUpCy%eD`e#m=+B^x
zw-eBe&Fr_M&vWkYx(^b69!~h<KE!Mu<YtOtn?`jy5jly7USxv#t|BnE5SSdsEi_a<
zc<;yp?>q(`*`KBpIh}@w314H$&XhhVb>Qlx+Uae^SsPVzHyZ&^R)e<Fv7?})SKfG;
z#2-&4+E3@B9d8VJw$1_~|0jXp$C(vi%pzT{rs+OLN-am^Kg>a&EgH1dKj>HapiZvU
zm%{O9sQ3{;_c1wJ#9O415v2N*db8;=MHPB9A^d(mgzgtJiSiu``;6**f?GC81o_h(
z<Ub1r`9|L$L<9^{nh1j{eh57ZQzukOYjdAXo+g}XaJUywlL7>b<o)&xwTvgY)7XnI
zAHuM}FK23wxiQ|d)NM4F2)WDvJMJt&b9^J9TO<lGY2)^+7PKOLQ6t@fihF}1y>+7v
z-~X_6n2m7w{)eM;ZSulSc7iB?t9HMTgbU+IQ8VFvQsmC~=WpDwLFW+c%(k`zx39Ha
zJ&U!2u3;Ayj|LBOvf)AX?S|IMw`c@fBwZM9k>Dl3U|OB=FHHeqI(TsS86@$h_Boo!
z&K=@pHCP0-^<PZg%=r88r^rc+Cx92c>0!A!#hNv3uhsMCF-AOz0?-|^t6+4z6(!Eu
zcEhWAQSS*>0h50Vk5lmAg%J5$sWI^2<m|aUEL+hN42l!=;+-j0lDznP3ANdHUCz}c
z<V?<r^qR~rJa_*!gecPse-}M+)kp;Yb}2$^ed4sjE?W}S63>@70>2BMFBU7IRfD2f
zi$UaCOO3#eLJP|pzK#mjnq_r6Rrb$cAPi>w+XW)-Y{~VDTkRu(X0%dkV-k-YY#?q)
zxMhJ8Yc{EH^%0V4=uSLQ54c#@&`&%G6UfBcuhUQF3uwP5TLE9aKS4aZpBWE|C(IJm
z<U5bFigE9aZ)EWm5ndT}{c_b126|2#Fna;R`Q_Tu?#e~Lk}Qa?(fX*6fj>;rWj$yu
z1TE*F6|~92hoNTGPVisWb?mKN5j0e1(%l#4QvOr|#f;?}OG}e<7~t*u52;r1r`O4%
zOrtC!M<iK~C`t|Is|$J#*T|&$I~4u0bhzTa&5aG6lC*~>uhHIrJ9Wcwd8fi<tAQw=
zDUC7{lJ^gQ<bCe@Ga-S~o(;)|6(n=R39#@n5<hfTy1l58xQt`m2jWQbA0~F6EyT{v
z^cel8(TF)vd(;Y{-EAR6)wjOhcvyO?crr)+o5GRfjqN^{-T!N9G9!n-Fy3gT`Xs;%
z?<%3hbYdnrmHb&$maO201}@WPR7-XGgH)%cx1_ISm|r1mJ2(HzW%0M67sKyhBk6w1
zkj`%6&@3pAWyb$E3<K6=(1zaVwDG@&0*QaT@j=C?2UGa}Jk`*|-~VU4POmE@r;4HJ
zE@ty!jBI%dh>1-m^d=B_Oz{5;z-fNtW=yrF_s7T5+2H?}+7waOoahU6Bvn-lu}g!6
z)usOlj0mPBioLgJ9_v%`Nl{yJQ2jO)?y_PMW~=&3(FlApWhGy!uPz*;P*(UzS&~a{
zbjj70#M|_Fp5dP@Qf57qE(@vdM-r`m{WgazD`B@WdZ$1rVoe^wAWunHV&ipEHt=L(
zf2tV!%(#SK%qt8%6;F6AwyCCtq`0mL=O9bTA1Q=|B6&-8w-HrO+l{VcP7m?<VYl55
zI#D%j+MVbP-GDam$Yu5)qF!eN%)=<;;JOHQWX|zPOaCl0j}-Or$MNV-;2*<Z@TXBS
zob6}A=1%zAslyN8A6gk8#39@rwg7wp#iTS)-ko@qhF*HqH^_o`IThN-ap)JZu1oDP
zcEUMo%U2LsC$fFX`+vu}SH>+gN9%qBB;bWqAg%)<Bp*!)fuYdxt+MZxg2|1=B^qh`
zr)gyFD!qDz-KUi7(<z)x{jT_P0HbWU<&)^ERJg^zhI-YbC|^QTZ8jVjMe&cI2mga;
z<=;q8Bx?Rq>UG8RQ7+5uI$a+zB_mm7-qz*~*1ZYO<IPZl9&AIgEbo!Btm{dJTz&_m
z2)Qg+r+k-cu_S}c71K~M_HBljDW!&wB}01sGWHyru8xcuxF+)Af0Gd9AuC1yjrVEP
z$Bzu!CpI~q?LgL(Vqsdx9}>g_a}!JX3choXa4#jKw7J2v!tNrAk5ZaIzd2MfuhAN-
zx!T{j8CcKw|0e(|9ot&Z>XpfbYwvK_-f9c6MVrzjh#4&U=&-%_(21-wu2*v{L?dl_
zMd=p2p5n&JI!U;)i*scM{mIomU2~+YZKoFdj&BA_GqJq<Sj&q%yWu_HNE~SfCaJ?-
zT!hpd;8wRnr?I4v8mdi#!#<9~-cfNFH*uJXr<XjZQLm<UB*hXNnO^L*wq+rG64jCg
zEi}h*`lQ_DR6BrrkwOI>&G@ex1`q!g9Ql{iALT!hO;^Ay2K94&z~c4RMQkxSQ8t>C
z(KbZ{sA7Yr+21@dDlZ~rt;(G&)#!kA=#aHQ1u!O&%LQ6EPDq3hyFFFJD1z3q)@wX4
z&hxs`RAHMcVcV&BOJ1$_c$N=9#`tbdxI6KO&48P%N@9W;Bj}Z`6ow-wq+vt6OCseo
z+pdj7C>^Z{P8LQ1c#iU?$?!L%#>t<y2=0Kx-C%I%SJnL{?wMumHSs8YI<n)3=-Xe$
zKe@zX+e<UPBHqRW184{2$F1iceKH;JO4AticJ;}RB3H&cC``JKK@;VSe{ulvh|UYB
zgU*k$s{RT5kt+_t`a}g@CE^!WMPJP`U62ucN{%CaU=@Tx<a*)XqjinF6dv-I5~F@A
z8ZgoPI00A6UKjIGD8W+<NzlGu3FwtRQic-vZ5;zMY#`h|v(UultEmz4Wm*&eFENPo
ztLozKKZeR#Tdg_b|17E(lTC=fB3qyMr>T}F{u%Z57K)4_U0hrblAG>(uv&b008#tY
zqOeQ<7`g)-H<#%3CSH|hvGhJ<%K7l;dDVj@dcBNSmHvrzIY-`byp;sTs^l!KgRCrO
zZDnMs#B8KZUOQqZb4+H9<Vod!Df|kyA9ra0iN07=BiUUV<0FV27xqI59kV^NW2Qwg
zm9XL#?I&HN+Qy$-f4ho;U~D@s*@T_k&p5wdn(S$8*UBQ3at9UmSu0#!&}DF)c48Bn
z`Il1%G<>3X{vMR^tfW<r&+%vph3Mjbsevh=fZclLA`5_AC|HsiWz5a2BSXkjD16xg
zobL?o@N6-bhcu<s-^>;BT?$H_035zYPbcZgS5K$#q$f^rZ5N3lBU`d#bWo!cRSt}9
z&5*R|26dRS>qj+Z90oIyVkl#Fy>83|MjfXaoOY^pFQl~gdUdH`FCRue4^AUoXWeW!
zLI-}?^;X?O&K?iwCZ-QTA)<;@WckxnVoyknw6?>TKS#BVKfeympCk`6fJqj>iwD!3
zlQh{MEZd}_ZI$iG8b<Oe`=!abM-}xm&2RQ5)q`j>#QxzQ7LHN4f5=CIr`VSjKyP#(
zTqDXDNj4)whGUMt_<NHMA4zp*O0Yf+8D6xx72UsI$cHla2`Tcf?L^D19-f^z<9~qB
zHZ^<^8}f*Q1$?Q!!e@&y&)zF6<_l!wVPGlOhVeMFF;XnWFO&ZNQV50r`{>TdM;N>{
z$U#h;f^>jbx)Zcle>RKg8T<OQHJI2d{|o`m6dwt{ENiCY;519i2zQJrvzjA~?7c~i
zpBGYNbZKNm4I_;|Ek_vt#{_UTZ4wUn_oLQYyJhF~&wnymT=0weIE#Y9nLdu5B!1{*
z$2)CDj%6<*LTA?^i%;?_b(XUmY2Fr}22|8`$X1H`{>9^rkT0M=rD7T6bkb?Pbv<`7
zmRulk21_o-B2`)s9$E5V)>l;VU#XSFdhl38So9)AVzyp8Gz@)ZJoz$eG%KZuX292I
z0B|_9oh2`8Zni2kIXQNVMZ(Atv!cMN(_x<`jw@Rpj-?7WZCXaqLO19(>eixTIcIB)
zZXHKP#ny-}brmycmOc3k!eqZRNpxdr66tZF^U*5VSEe<A2&Y|-7dbIydZi0{hMhFS
zX_JD6az;_VO$_c%^_!YhHTzC*iWu^18Jzi5_33}u81n1TcQLU<5KR%QFNl_=RbCJ+
zquwp6C2fkz@v3!+xg!m6GH;}3Zf^2s{A&iVinuC*Xr#J&gdn3!8ARJ(qE`__lNL)Z
zdkR68i(@(SC`)35F4*GOZvY0Imtw2Qtd%jn=PTp)(-T`6v!}IL8Q+aVA6PYZf+p6G
zwH2+9`L4QJC*M5kI@yG11?%N&b$`L^l?62qVq>DU<YB!`sEacRxrYz7G5mywAkC9m
zsI-SoM4toyblaD2c%;8d;jhoAR`IjzaLsIzS)5BqLJm99?|IxcU2GEa?-WV07P7?=
z*o2(^-%>ZJwLHr}D3Sxl=!%x=J4Ry7+5e36V{jN=6=Ds_ewZlyun>iul;rQCQBmfY
z6dPLRe4EwP;Ji3rwgpZJ_!GRY6l(d?MB(S7pzu=$R_S!)O%p{bQy5O*BW10a>5Z<3
zS~y{=rudvH84e1C71-*^q{j;iVf_^@<n{m%=6>}BQs|A2d5RDDM+oLq4NcQk$cJKR
z;8<rK<H*V`K2iuoSpr``F&X{*XvPVG0dX6SQpy9!j@uMVVcEFN>x(hZj@t|x+Kk%_
z%<XO$!Z1qIh69))qvomio3p`nDQc5t;**yCC!zjp9htZ|-_wv0ir<XcoUP`c76x@-
zfMp(eV90?}J3$utnU)_0xOE2}7fycKopV_5Vwr3t#tq$0S!VxFNNi{P_Y_L6Zaesj
zWA-<QJw1VYX0WBQ%F&ij3`1xcZTT2AniUS&aZFwr(H8%<z5q<6I4$W$^1HCX2g$k@
z@jQg?4q8WA=k8<S7){>jmaar5d0r+vp&|~vr=l$beY>xhCV?IxcqdwAMpM3q7dg=s
zdS%S#{d1`qO-TaOIZn(EQ$3m!eM(Pc9OZiq!u+Z$iKF}oeHW8S#8EhzOmsIQiJvbh
z@T6=4TZ}zF3Zi0+K~$dL(k922KTQB8CQaVulTV9SZAPP_6@X4@|7SpPh_tUQ=zC;J
zZ#rm6bm`GVb>AqcmZbG&XtW%eJ)1+%k23VZHKg*(S3qU|7w}!BKx+pkm_Xk$3Z|UM
zv`9)Pu+kgdw4hFA0&7OSmzK1xic@jf7MRG><0Xz=Mw}13B{Tjrz@$iLNWDa|>z7&8
z;#uVmzBaZhHzhG5HlxT8KBc-+RD-sP%%dh9i{09Vt0KwmNvOo+H#N)1HMd~5{HbWh
zcpjDJd9h-PxP6<+JviN;21~DWamZM;nWlG)$Rib#|1e>HBGqFl`}Y`wFu&?b?BCna
zcQKj7OvA}!qPrQ<LWwPVHj(|{D9DO&2F*4DS8kskW$;g}9;MSOZvV5xQ98>!rR6ct
zJZ027yaGj4T#Z-K3ye}4uEA!kIe;O3W~{JFnVkHE62?*NtB{jka$n^sZbt|1<4)co
zawvqAQ@<6RnVI{=Py#GY1U*lU2CONx9o$Rg`Db=%uf7~;2kmYHSpjvm<6o+-LLn|y
z9WpVs#k8^cW{$5>XZ#7Y7&NsB?h!dwnR{C~_bfeO+9*>bU|ifk40>{9cquh1&&AzG
z!Kme+<JIiOQFgMB8Rd-G3I-#ivI+6Er6FFyypsh+scGoy!OUm=&npMllUt`m?V*IE
z*v5#hQyG64YU@<Sloazbwocgsr(o-p-t(=~0EqFeQ}(nrTc@|l6U8H+kPwGM&mpTg
z?|^<V;FN{DR(=KBr046wOMw%2QQai#e@eot+#apORHMg1eBF1<w`(%uOZ%R`r&`5d
zScm(bif(L!G1>5(R4;g7Lj5*r_8x`(@LQY-<@`UQZWsg!=ZqN81mEjUE!aO=IJzDM
z%H~)yZek$(N6_h7$K5kUmu5>ktFgYth(+4pC>S#^(th<xe$M<H%Uu*QH)jcdiyg%j
zh4Q3w>VW;|9VkKepCxE#{I8alChph#MsVs&38zNMa8#afv1k14VMr@|s&7%FS)rpj
z(e}hMhVMp}D(_1p(iMFUotAV(Y5bC2#y3m!D!dFy@S(g6sZWX={a%K=)<@`5R*Kft
zl=L&E>4~Liv8T21Gj6GSOG~SAbZO*Mm;^zthp{dX#c_<-R9SF*^ikb4Vr;-g$@q4U
zu%(zxhxo#e)|Y<qEjs{jH}0kQ;C(XtEceV7W^-Z%cP97`Wq{eT>r#khzV}s}EM=*-
z>z${`X|1JS4abDToE-VOd3DAW{U*6u+l_vuB&14Bk+?>&HOsloNj|#@jo@~ay-4y{
z;TVM(LwqEP`lUCL=#4JRTISa1_gF)9vf~3IcWF|)ngTk1`C~*81|2sW8M<N41l`M+
zo`N_#(}{B}@%Pi)F><9q$%$98ZnfmZeIh1{d%v^HU!TycYeA%YB-*FeF>fj+eKsNw
zGvG=K`a258C=_%)QkJ08n;b#kVN!^bCR>2F$f_x_JeBG_#a}H2Ybc3Kh8sr2K9oi7
z{C)e+7s6ghZZT5-ehN6i7saOHe!XxgeHA<unfOpECK11nlY}R|6a4)`xJ!^IrNl*Q
zk|(@nGaLV>5Z3Ik>iETagGtIbkvedHY;4+8Hd7r&$!z2RrpTzNRlhA9T$eH%6MxLV
zf(S?Ms{a!lZ`2ac<+f|KNyw7(OA7J-70USw0Z7prQjkraK+U2?LP!5%P-v~=O~%C_
z%o7*ECcz&Tw3!t$J}_u=!!1sWzSHIKtK;C<JNO7%4Oay&I?)-&p)a)HW;u!g<FhQd
zVD3!7FVx~&9m)4uR^E}ag#Iy-jv4=!(n2DFIR0KHp^O4IiN>J78U{n|9R@@h47rCI
z%}QX&!!11Mc@@k0Knh5N&l*vN2fO4igHwV_{O~5ezA7A*k=rYV#3OeBE;fcC5!*fT
z(4t5u!EL#FM5HVk*SV`iuOhA^Wk)dyHZO@z#ry3x7T@iTM`{yvqjoo<kY^KLE}A~v
zp{+>~;T8-iU0)I0e>)Lv#{UEQGt4<{DO6)<EU_3wA91UWG#Nlz8T!Puv4ev=E>*Dm
z^%20!cfUSLPb@0Mo^qm60$d{Rs9z*H)@>sI;;c$+YUFEmI1IVbDZb<_`b1Hv1!m?1
zM)jpCz6Oe0TMr|Lt5vtdxmwV1=6KoMo$M9ASZA~VkXYd)`$Q8G4IbH%Kb2In*v?l9
zMY1@y^99v*UEU`k$-^RcNp$DZGK}KJI0?;^Z=~PHGo^--#$78h`Sh=f)<XnbzJ*4Z
zj>-mH{-bb=La(2Xl;z6P8{Ot<0hfz%^?;Eh+x;wPWK!&xsew(Od}N=rVEkbgWY06!
zq+rTkCUM%Dwp#~ZUkdzFR<{|;23iUv>g#`lXw|<I7&$;hGi5gWM()yN?u)mYQk5d4
zhVf7f>ye=whV}aZdyzksTBBsKDG>($FTuLCUZWVd<Os7VS1DX{n2-KBk|MY_16L^*
z-^C_*=J}fW%_>2zsEQH=|5g$M+>csX8pO(Cea}~n*hdA<nG2%TK9Y6sFa%cXB5E`%
zY|Fq+;`j<R8CsRxiGd%yTEf{r@}#)SW8P$=&7i_x*GiP+FyE(L8Y?}U?g(0Cp0aA-
zMb0TJdZkZ-8Me_(1}~Up1Xcw#Of27$8av-q(n3t!Yx5?COMX?|st$Xv&0EoTF+oL^
zydr4d(ULSh;do>oEy<_{X^_&R=!EaQt3sHQbgRVLrgtQ`Ihpaj0pudeiY(fDSk=NV
z<=rxOv8sblSC-85cn00+LYU880$1cff0-JUSK{;e>`>Q(O47H@e3$Sb^EJ5ftzp1s
z0f%ogx)q}*xIyR*T2PDYvdePA$X^!9YLqFInGyQQFz89H{5Lf!&lTe{I{ChtQO$&M
zY+G5`(Jh1jUcg!Y{9tSVP|8GX09-}BlvL3FWqd9r5=7gfM50)iMGQ(#*F)tNNry_Y
zx<9vwlei#;LoDDioU1@99>ZZzIWZg&+!!@}b36RGD#gr3zZO}Y?MDvt4I^g5AhyE6
zSV0hHj~>KH`oq$u;wDj+Eyf#6L`i|ELMIDVs5sJcyJ{PMaUEtdCnRFA7A=vOedbjd
z$w`r^l-g>pD%>+8AKFq+E`%xfJE55Wdg_1%P88L@1!Zf!YRZ-$vPhIlyw3T^)*#0O
zYcdynMfslcc01Vt3|t16v><iy)$eZt9NfmenVwjjnmw(Jjk}e9uW3ZnlpG9O$ww>*
zgcaB}W7m=Qm9lFCKPUC4g86brGbh(#d-lhw?Yhhg<OECEvc9j2V=mZqIGum?=L&Of
z%`#SkXqWK`^3S9in&j5wfrbY*C<m<X6Xfh$p9MFL69R0N+m~9`hng98&c7P$9}7_{
zj5`-Y1G|)+s*~|`@gEifQI@{xgUa#nSA%hslDR6q=G14oM34NB6a1-J?n#ub^(@zK
zN#qQ-9zRbbG@H$C?-mj<^6Vx%!0eX6ozk=0^maMBZKWqRyRoOWncYr=cC+1Zsv&)M
za^!P}x)XnN#F=tVgJcDB-EZlBywPQ9%G;WL2}^90nGXG>;6{EtrFa6gRNMF~>(HS$
z2$h-#H{<d(9+=IX0IyV-7fyiGiAnBjQVmyY0;G|K*}fqJ^tD8heNNcyUqRrf?DGuD
z*4jSjO20JI>tFtuwVoB?F|xIm9l%;=@T#=6_5cT8i}>`!tTlUD8*6<#ZjZLfzOIg`
z9y#73!B~NvHrC5Ye<>rq#dre~lN6Zt;>|)JMp>UcqS~&@b$UXglx^m@yA*G!WE$sp
zDZGn}b5;iMds8h}$vO|8=}st=HO~o~{dW@lDf9dQ%GTOEXA8Zw&Fe8pqzNB0%nu65
z7}+q(4q%uwxK!FO|2^Q~hWQ`pi5X`0v^IwMSmZU4cD*VN^mU^;&<utZnB?8M>nu7;
z+2iq~7$!yhGA;3QLIOsy#6MDP<G)&mj<O)mkY@O23h80Z@Gny>e{E)%P$+AL6CV3N
zCHPZj_<JZ@Ycrf7=+XwSXR%`j_y<BJMmE5*0~p{8{**Sr`*%nKT%jjsfZ5a97~m6;
z+i~zAn$TYQb;mI@NLFBsjg_3yWy&OPO}~U;Hp)!%d<5JWHI8weYP&Au7zUxzMp}Ir
zG}~7`sZcL8(ySMg;P<3ju9lHzLk$zkAQZ|P>4ek%34%Xmq_0NVS{vzH1(2qCJ%%z&
z5o8AYu#k_D4Yuq620MdSr49CDfP;I?Z>1+@u-Q|g!Oq{g0Gs5-?*sTIH@7+d+v(Ai
zCI+GZ7;fv2$Jr;cvaZab*BrW@f{s0<p>wxM$1?$~;$9o?3FsK)AtWbso2^6Q{uPXL
z3C=|$t3bR@UBKM4-Tiof;6C;dj%jzs-OTZD54!t~Zz{?~iYLOL+o@sO_8<xD#&}1q
z+rjC~s4B`A;%%~|fv-FE7UC_T6Gb>981~}b^`O>`yhb>OtDjqu)2jF4iQl#xU8KQ2
z*%POCcP_+J%lrgr&_VktEF7FLLO>rsw(?=B==&6YPK%%2P6NNTM?tN+XxC2BTMRc2
zxH{*0@p(%@5VeBH(Ow?k7;g`qTGZ+`t7qw?Tn{BX=*IeXwH7p+Xd0r+8D8Qv99B}L
zk0ewXI{`9A6b%}77_x$G{QH#EhI86!^p0<er(L@d$)Dr#Zs)8AT19r$4U^LGy0h3_
zMt?ib*d01gi5i&qn<$y0FR(g<RPXV4hu6ZvzA6sG26V4BLcZN->Cn}OLJ!Y-&6icD
z(+N6N7ss?3P6u=*P;nP^yptaf)Os0bz4YSQ)SFZn{?{O*@ebZ^0)uS5*L;y`9Pc6=
zLJ$fbO}hb{dhzy#-CFM2%MK`B$L~!}s~4Z&ad4)rUadQA$Ond@9O;Ev-uw-Ucy(Mf
z<Scn-;fKUK>~0iPlcIQ&2cg<t?>5^wswM;vgk=Q?lRKRjzW$C5cd`;tw-plmlcIL$
zbn8L&Y?DN4mvgoqgicj&$)uzfRZn}N7cmjtDL*t1MCi+TXgDbq!aW#o12Q30z@|^T
z;N5mnt-9njfE?8HLVCg=NC~Gp;0^n1Jy^cAW1mq!A)>oUs~|b8We8%!YkE=dwhjOO
z{CK>h?X;^Pi#RKdVYX4pq7CRtJz~p^qIP(Ae*VmvGjr{8ksGw;g3j`M-8nsvn&Ese
zzJOXVP|%_pIoLyk?)9*f?z9iR<Ylh_Wp{LzYN=tUBpGI}945k7U&A@iiI&(fZq#gG
zh^fe4gcj8!w|9I?JPVm@R+V}x@T*~)B;<*BS9lI*jL%kGZ`p0&f5`7xBOuY=7B=lp
zRDDAidL4pL=d<7ZXSEUF=37qM*_vz9M~rbj6;n!3nUN5!Pj%ZEVh4;;<VB!Aw*yZ=
zdV-qQT7nEn!*Cv%im<zA*4yPY7acg~(K(FeI!=V%E~w$s`%_h?X?u;TU9Wc>W*Huj
zH#@D<JtT0&TeyjUPC~rARvjPBg)l{SXW4<tfiUdGKoFM*mJ*^+cb3B5Loi}SDedvH
zV)VA8eoT;B)LHo?74m2QeKfbc7ypFu6ctlyBUNHA7DD$$5A`bSJ!Y9}-Kltj1CyBK
zab)?zKToouu4QhLkx(%1h0UPedz>c7iJh1ZXXB^VN3a85V<eXa$g^`l?tSjEe-;zE
z{}BDN2lq<&7tufTEpPTMboT8m_I)jOn<u-YmEE(zZl++Tnb^TJmZ8V8_<YJ@@F~;5
zr~NXY_SAd|&H5C+^(i{wQv|^$7t|*=wHt5O)q?SKd(FedK|%pO^AfUtvK|*6y@c0;
zNI{L7i^wK5s_sb@s@hXVwJA9&>;F8Xe@tYZh-S_U(tU|H8{%o$=33At%iD{$!cl2J
z+<^n;=gFg@{7DGoTY7iEy5P$Yuvd`n5Yqw;2yxsIo(o}%WNE)x-k|RNIDE6`;JeWc
zFN`eA9wEEM9J88bTZ@=%PT@_<xyI_YVAcT!J}ceDbc<OgQirxy(uKK1x{|bDh?DX&
z{>#v!(EA!!e#IEOZakj6`^X&&#};lOvq<jN@iFD0v4iZSjdKJ?a`qk$wYZZ4hurM=
mJT(PM0y92uRmIFuZS`90JKV6W%VeXb>oiM?361N`-2Vg1%whBZ

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.profile_builder.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.profile_builder.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..995127d7726beb970bcc1c56cbd6ddcaa429a8db
GIT binary patch
literal 268990
zcmeFa37lm`bwAE9dk@3z05$^;5O@PUJqRK=><kRT$S|^rj@Z2Je$9KA?$^zGuYn<;
zsEHdlVtzD9j2J~@+!7Rx8jU6z*Qkm9)VRbYN{ss&lbHOB=6}wq<yO_LI=Ala*U0$!
z`}xT9ySJ88-#X{isdG-%y=&!t%l28e5B@Jbpf}fQcWxVPOip%YC!4*6bj{@K#QaRN
z(_grEVbgOL?p&y+YrBnGd$aT1iRMDO50sc_wWlY$&CbI03+et?yx*Sgjmr9~d(DY{
zd$yyiw^p`RwN_uhP;aeGSN7Ze>89~2Jz!UNcB(zytX(({jW)XrSQJXGxVm{8l8`U(
zI}1b=G<!(8YOVov^cPwOrEAAD;jQKADoO9obj5VL(_Gj&Ki)`(8vTB^JwD%uapJg^
zw<mizhSd|(jb0BP!rv=9jT!ORn#uXO?8kUx;-+qM3d_u=tNV=`@zp}>fYxwpzt)kh
z<*kkB)Rt>{&2DeYO}$RDF}`Ku@ndt{*#yw&ZMovAv2Js2wzuV?M!z9P+}#2M_qGT^
zw@ktdD2`BcN7Wxa_1D<AKxeeugTWrPW8eAl);{UVc4xAAn}MbPx^*-Ru5}E+cpUuy
zc=-Q`@c&IXP{69&rs37o6?2VtcOe~}nVp=UZk|<(qhKN3EGle{EZ<tSv%k=oZ=KxQ
zY+!YNS*)g-jsASMIX2#HbS7FBTw63;>Msq~+@7rnG7P$NV{LXSc8q}VGC+83x)%7W
zabveJ*D_E}pGv%1100&uwW--IHQQ_UYvX%r?McA6J+%iroS2=i_4mv*YmMny_<3u)
z->S9yy;`@~n?oVFrCG!FXL_T8>o+V#%bB=r1N<)#yt=b>6iP&pQ*gS@1D1aDPm|&)
zn66Qwu9UtB4$c;XRXvz0&`IefSM|H|6Ubzf+h(Vgkk;y?9BS=OB=c-qNY9QFjZtrh
z3toW{69zKB0+jTG!Hi0`?gN?_-i-CypqX$GMw#ng0ovZ%S$%S940IN#gsrtJ=1^@n
zrgzUZI+Kmw=)`QdIVxU`UPWcDubordIooND)OwAXx#=c!c6-yP*zWYRA~WsIm{knk
zLjBWEIpq{tA8;S*HlWk3wW;aZ2EILI^wg0W)`Y2m=BXDTO;lC&nq#21jcz;hGjn@J
zf#z<vu_q&7ZgzIsC^a)b-EV`Ym}vHJ#z*n>=q~tARs-a9ex@@<TGgm&4QrNAGP~y|
zyE`Up7_%*q?x~J9k@VMLau1*>Y;-!aeZ<9FL(^4)50$1+KQr-O1)?w=C*JAW+h(S>
z_U0P6qOX|)ebnsU(p*5PPoR}4xuCu6(X6BmJPmP$#Ss)6K)IiQ63iN0r<EzwTA7~6
z&zD|06wuM-?U{H^cqZ!UI*`)M06Wo^u18X7cIkK1T(VoYw|)z!<<4wcT6d^1uB9=$
z1AL5E($#PRZ*Ag#k0X8!5-%uUg9L<$zQ;%O!9+Bzd(D2cJKYA0CYzq?ej8NP|F4vO
z{YpveB(bdM`7-7zJ-yOI>6VG_alsmMS$M5(Sh20~#AemEgjqFR)>&wn!i0kK=fIP1
zBn@#WF(P(9H{XGEKc{h*ZB@O)Uv{tW=X#yX_xjhe*A3~in$y%9&8AupDjOy}E@C~_
zQ0_O^>`dZ%dK>Ifj46^Ef(_{!)tb}$m(1S7_8@Eln^TjsGmUm<A>DUw4{Rmi0ot~(
zV<OeHKt=kE?v2eptSP!XFroKs6+4E7^n^Iwi)+%Jt)khTIB8!1_&y7h_BR@xWxMs<
z>~@CqV`fO7$ngWt3^x5m)wG7}h@c(hbofiALv#0KVA%S024L&E7IaLvCYG%qMt}s{
zKHN<M*IjSZoE!*hmLWTcQ`5Gp-;={r$(N7QN$d{NVmCY21oLmUYw&Bj>>N$<IS$Du
zu_UL<W^-bf)Uk??_W(U>(^c&bc?hyKC|!X@uA)Qyu*5$(k0%8b+f)P0&9Pe=)ALQ6
ztn`rH{M_7Zw?EdKX>|KH&(ESa;>Ez_$vK)@2W5kals)iz7}je6&o?NxO^>mRZ6$xZ
z4dazYR5w)2I-`mjuJz0w_0!o=x4gWNTmzMC$qj1N<VL;&FH@=x^7Bh?OddBzzTUz|
z0+Uw(nHsZ^xRWQ;m@iXtGD4qqR4C)go*be<U6{O#C)AIq>>v-va$qJ$DF2x6pga=P
zM->ply6z#KMh*l=5Lp%vaNzuSvIz*#a>{79zhenaPKVd7zLhGjKnj3{b4?lw72KD3
zN-lFLDb#9`KnG8QJ;I7@nDHd!RN4VfVWrk`&uxMJcXqr1)%Fvp6sy|y-M9RDo5&74
zjD>Fks*MDQmi;IJKAb1an4w5j7Ae4oLcci=q+h;x7)r?3>Fiip`6{HrmM`>jDb`y-
zKWu)xgr}r}d<g<8$ro7xerH@xzV^2Zt1-Hd?a|)Ajy51&&m;yhP5!Xq(BV7qYk1j#
zN4oG$K)P0vr&0_%FJJPlJ^J5vT8rCdF~)-IrFfCNiy(CR^UD|yMhO{vfE_I>V}&$W
zGPWFi#ftstZyWWu^K?{@FhO1w2|FU_(ay=&fo@SX#QY0;yq{#p8<4S&5rf3Z*gx?d
z_+?CX;E^$W6OgfzE7(t*mK=UxvK8zH1fJ8IU%Gf0N=VoG<u+<|@2qqc(qKu~GQE7k
zUpA*5&C^gpvIJ>WB<m!(gN+CX<wR{LtE+^}d}I&$Om@%#@p=MOiZu|o^BwrbOLpK9
zFMJaaufz1-*AARXfby$awmG#id8X5c&5WkwHPUp<Ix1e<uFGK?-UZL{g!-|S9pvFy
zZ^7mW$DMpv<&}}sTNPl!JL8w})N;T$((2cHJb#wZdv9O~W%XVm4VK<3+!?=zr=)`R
z69hVV8jKR&8J|)%#GTWDE3gHn{lpJj#y`srH=y@E1(jm;-Z%IT{46Lt@aR2!6VQ8E
zKqZ_CP+AB6-0ANT)qy|D;T+b1Ln~}x976p#%MS87@Q5IUjy^n`@77@R$TfoLxmY*m
z0SoKKlX=QHz#Lij>qef3OX$XJETOD!ETo~FZoG!4q=Ie~1Uh&cOcU0P#}+5^<h0>_
zW*wy!?T5B@?63n4XvYL9#cIbp_zwI`C_C_IM|=~|j*E<l{2!-fN4*$R7AfatY{8f2
z5Dn|W*YSk<5tSX}^&o9kZJu~L-$8jKA|0xE5W>3cBRq{92#zfJbsNutC3M@@SVCFd
zR!BoR-S!ink_x&_5a{4(ut!+8T{S!SB*dIDTrE3MdQkti*?sLwTctRH@8^$|P$^ag
z9>#az=T+H(M+M@WfC}8EH^zLL3YXF;Va#iaOrP2KZFcB!@H6;f2^8n1+&qL8=lMLL
z{&|oc<l%TyWr!UEb0<$$dHfbZS+N0{2Ry8#8~n&Pz#XN+3SmG-N+{_)ETOED=H(P<
zD5s?F<|(P5qy>Qvo(5AnO1ik<1CY2Q^Q&bduTkgv1|HdggGrE;xR4HEqV4QBo*-JV
zl7iD!WfSUJ-)*f**G$b%PgAO8>t4*Nn`~`F5_T*Dk{YNJK_#oi>517+-#i1R4pr1!
z=j%*{4Hq`x(A3tN$kf|<gCO+=sRB2otL6JlVzWoB;pCmpWMwIM=>fhb;W*Cf={BSc
zH>Qn@vE&2TjL33ZCBd>a?1!CxYz+(NpeScjWHmzG;bxI{XaSDdSs%n^hLgX6e{yka
zgCWvYlqoq;BH7W%3rs!@&1b2BI=6BiG}^pvZn{0u?k~KU3f$W0cHmDVy)t<VR?bo<
zTldnEp>i@6IwGNRW4d={_anCw>&%ZEg5w-?!y&@)rQ};UXT;#i+wo7q;~58^upJI>
ziPK{c|E~4)0U$c-gXg#4JV<srE4H}izvRc*>u~Zz*?DVY?7^$Ocyhc*pLc1e*Kfed
zxJJKO>$jRU?;(X6$sQf4Yt(Lp^Kl(H2l{~AqT9*l=2v2F{-^BRB)`BKN9|Y+6Kjlh
zZ8|j7Zca~*IVT!qJ~5nqrPqe)Qb)IRO*ajGXcwLi#8VPIWrdrM^iZIo;bg-q!QfFm
zmK=(uhm(WwAF&FcL9QtopPk&3qZD4R8;2#N+4qkT5BRRd(T{<ap2=6w<nC;p-(RZ-
zv#dAOHgB$71jk}){n^?$9F-KOV<+YM0tepYYA^<J3+F414pZZ}fLt4lCpK<RipDKP
zEsQ5O+f(g{g%>3c10RsiP5uQr0@u{!41w!u@DJd*A>FrD&z3)$CwygXKwRT^pY%XA
zu;$EMtI=!s%%L&);c}=<347>Ibx5&SMl*niL%Tu@?I|?0a8YxcA{JH8;zcJ1?8Nuv
zDrh*l1pebi7S8}A8rEf-icsB<uB<(L*S*eZ3u?hae?xkRkH<7n{@0Qgv!$ZdXgE2g
z067GC6v{y3CsWa63;d(ZEvZK`A=)P6*LVoCR)^GF5}2LyGvm!Jo^=+ldni5gy(S)D
zy|LNBjC)+_q%a9tO3pO;fx~Ip;ZCJ?tY;b<;^&tj#dH9^Xl)Bmt`eIU(6GH?gRjhP
zGHX!)lk76bkfo4pfK&dttmRiZjfJ_{VEp@uxNuRE@slYiO!~sH+I)=v0F(`5LyWJ1
z$uWKomjL5?%8i!f6+Q21*_y!7ZvVyN^85n4ONz_oZe~>`GncnJ?V0(R8U*$o+37ZK
zo^Qi}a5722Y#EYrBd)2a+k%r%(UJ-||3X7aBJ>3qsma@69t*RH5~0r$YF-h-S7tYh
z5}_YBjfH78MCiLjT)1du5&97{9L9!3NCT4-p&Tv&5%QEftqSYt$xka)2Vrt4DHf(r
z7a(6!n9j~}r)qUH`RG5JXa%|wt`C@<fkkPuhHtW^2$rD9HXOhAEjniAm6RIuk%o-q
z<#DTRMh-Jnm?xCH)S#_^rG~HK<pu7U!Mj<6Cqn$NseY2vT$pM@VxCCkg^N~}n6sea
zFgheL0vdZ^T~=2^gum?ZJ+;dCB>avIZ1-7+?0A))$Ce7&$%@E|YasBjrfb~ZUS)im
zv2)Gk_&T8PJmrol7H-WHX+&YrWo|FUx@=>?%$3w-=VK03t?p*D;ME|c&*(K?aYZT(
zulsR|`t(_0V$~a>=QJ#(N{9Uk0peZr@m0JIJJcB&-H)OK-v3fhH)-bgIo*X7m!ad{
zL*$2xR@QNU0}Y4KBORxq%SlNNxqy^-${kb8G8(otqA*B_+e@*OJWzmYNh#T4=Eh{E
zGu@SgOFa7YOpl#UDC|@kxm4N@H7>+X{}Ihj;b~Sv@>9aYD<t?TUPub|mP2do#=?AU
zh`?&7#6}g&7{L_Sa<O~M{h;A6HY5TXn4AdYa0!Tjr`!=?#?VuoGKGNU-BycP{zrpl
z`O9PmM6I4Vt3`@HuXY86<!F6Sk8ou`DKMf4YPTrd*UolPCsas5(7!c6Bm);l^HX@9
zl?<FqZ03~#d=)PPhldbRi$%DAJ-Vkk-9|~v)ijK7(aH<P)1l!oiX<%>!ko0^5DZ9*
zr`+SBct|6c#+3&da{DTlp|c9G%`F>jlgTE~RY1oH5!=tliJ};iD2VMP2Z*BkMYK93
zimE`3ijGvfEU>jZ9h;wn)RpF#Tn?3l_v)K!bv~y>-z=8N&NkzoL5TCTW+&nHz^fP2
z%xHi-`&L06x6*LjV7r;?t)_aAE_mq;bp+QXHXG{Zzsa%5sjYCwW#B%+ks2CG#!Y*!
z`H8QsJNiK3o=aB{3iG1%GEL=S!GVh%dGNiKD$=&^VD(YGb${!XR%U?8|A4E`l81EN
z^y7Qq&3T~-l{f0WMk9UwlFqQ4*z8`LlS_0bD`%Hz9q3k8>r?)P%?F><bLow0_%o_L
zM!GZdI4$3SKf6nI;7QrSH`el<VZej~$?|Y~FJK)oHEfiA;`AD~Br`|bnV$Jf7g&~P
zdHw-SfkOv3TjAwPi8frdlzfPqHEvsa1dd)Eveur`s6ib7mB5{8T$C2RHQ^Y(13wGO
z4m>P~Zvrg1BuB5#aQbubF>|tv-4nxnS&D8Pubq~|I-EUw8BeSqYuSNEK!XdV<CDFP
z@3uTfk;kv{sc1?-^Pq(@U~l57=RkAB+OGk4UM`UV`+SyAHUqYhhH@FO_wkfe$bc0D
zI(Qn4lUI|)Wg!XHu$Gb!;xc00+uLoz71kXq@5MNon->V*C4KK?p)j*s%>AONAJXNJ
zP-<UnDLRVN4{rkkIH!(8E_o{w>IWo)GWjzANu&oSZ^Xo-H^F}_Q#5%Ho<v`<2^qon
zCU3<Wn@idEbV)R14$DcSbj$~F{wTLHc^kB-EJZM=!S*&YhDWwFrYGj7DF+bm#fOx@
zK19vh6TKSj5o*(oakx+)w?A;1zE1foS4kTv$yWueUyf!2R8e^8{co1>PBZjH2?FS}
zb+93}XDB%^_o$vc#(0*RS%=bFWj@lF(-!I{WdK)+h(E+inyEl+lH&~m1ScgY<sQ}f
z6sgNx^S@T#B{rktLVNPxiBR@rO<Z*^zS7Wv3qa}94ZYfAcXn>BDYFipgb%m**xkjt
zAt5ko`yDo2OmEcZ0i%4X;c93r5WvP)mPO_$PCLxH-hxIA#d&H^b<OD@JPvdl$ppfU
zL~yvMsf|k|5FQH+hw-BAfd(t*y~|-0@ZNdKoe;@E8oM;M2CNEhf7y!Qe%(c=ui<1x
z0lqjDGR<%q73F0p5FSO>%o2u2pAM9ntQ%&R@Qf?3_cb(1uh$!2nceUyQMm{xf}jM&
z|5DF6sm6}eU3gT6yxc_Ohl`r>lAI2OV`D>eP&SMn$%}?ACoehV0`lT17ZLH)utkPP
z-Cl~N<jMk6b5g=Ksr=l(0u{}feAue=bK{B^>F54lM61%ztrmK<vhY+t1lAhp7-hfd
z1sFb|VOOjR##$wu)b43Cc`>{wvl?t>%5qKKkGx2qh%kPy?#xnXkgmLLjgj!la}@G$
zOl8;nQzqL}Q-kxvU$7`YJkqiVr~5sAqnt)K3sJ@{ep?Jb7Pd9=vqb*SrHs^MjMH$!
zLyn&Qj1T$S@d0VMy5VnMAqFVZ-ROrFTGDl2h1oY%tF6FzPx_a1-Sl01p(kBHLmS%6
zZGO`uIBjyaGAH_u0d_7M&m7F_t;W@Q=sdNV<KOiJmvFED1S-Y)Huqh}abL^tI+7iD
ze4F^jWM<<k`9*&03kAqA%fV7vT%$JDhx1Svt{l^nF#RC*L7hbs7w0=U6o}3(q<$}+
zm^FL7GQB&dgX#x@g)+f7ir0TRUe`$)eA32QJm&s^oIzub^W9&{ci`u5*@1_@@lAlg
z_ZPVd@Lf1s7$hQjmd(89Hv5e^P21~$IZ=`9mvt1!O1pEghTZgCo>)JuvV%M%utvhl
zX~S_B-$Qw66rEIsBJ6y>mnW2i!jVOm+XKv4!ukGYmQdFD&I<(4P|o@OKAw^a&UZne
zgQvkGdEHiA7M<^zft7q8mo~Ijl80cMp*(}|ok?Z&d6p+1V}FGmd<8i#!`NSh&U4E}
z9w+5$_YFS-F8LflvLvqd$A+zX?N=A`L0;R>OREFshWD#)+YWmwN<Ku>vk4y-oM^(4
z>He)vI6;4^eb!#M+C_kcs^Eu-yP3OvAZ=-#m+ZSAu-9<15B?K%N))!p<b~gh4S$-v
zUrKp^$;-Rk>jU<=Kc)=4%IAJCR@x{Pzz&d~f%x37w{`<&?yQmRMxMh=80bsMQ^3P`
zG#PVf4K}8)Cih$I-VpfYy@|BWPD5H|&Qr~iv^hN`8ZXm9_6wNOyaRp&+6p+}@s-K-
zt}3-1@PSWr%JBr=+T*&|=`d_;84kt^X#nA(rd?LbA%6)p9LA3vj2gV0gE5C)z`^J#
z_k>EErIAdl)dwx-(vqzyA!q%j0_+Vp<Ox)ich;XHw=<B73d=W1nR)`(08F$Rog16@
z`EmF-T~D3b$Yf2}_I8Xba>Mg%AkO6UFgJx6Liy`&r-6F?_4vx{h8HNqhS?wu8a>IR
z2JUs53sY@~%gczoa8XlSl4n5SSbzL|P&SMXiHn9NCoVZ;0^;H+cXAmP(Ez5Us)2C0
zJr@hdtp!NugoABT`RI>}XjS^?afNhU;ie^v1jt<U1E^^6vcCFCncAWp2<o>6mN@fE
z(45KWVRl0r<ZV8m$4UhYx^aKoahc>RUC_&Jz!C}W%9|HeRu3VKDh@pHy)wfDvv4^1
zHsQ>}A!iTa81U?^6SGCB0SX%HnTCL7an1S)v$zr~#m}Ol<l;OK8>5M;s>!6TEzo60
z03F<(4H%ndd_!?L6;ng#O3gU0Fl0<kS@NY~YHIJMXVMc>dj>El+~r6IKkS%V@*&vz
z(c+PO82{P@14}-l|N1EWg`bQaZ2WAe*a;3Ug0^i@5i~(fFou@CdoPR(sWDM(h&gk!
zJF{SoUDK$Xpl)+!_Lk<@WV_cGpKeZ$O-(m$+*%ulWQ5u|we5}RUX$W>puwl%?$Guu
zTw!=ccM{wJlNTwcjv2~>8!OQRp!AvgX{)jXI54~*@!`BFU3c%Fv@D=^Z1FS*NV8}|
zY!&k(&4>EBQFG;gY0unqHTorDZFfSY*jU>=d<T9{vFyO({>3*Yrx~%f70Baa?4Grb
zUfN@Sozqs>ZZOw6CiW#Li1W5TKo~k*`kmoC8sM3U{e<w}vIAzF;e|9<&hV9_XA~dG
zUpDxk<7uhj4i_Yb7j4rWzQ>1t-X+{ZcX+0tlG~8zygU3bPMNy9P}sT#%i9qBjD^VD
zYDDs9u-`bA{c#*<%8%~DEt{R>254<b{OCt=%cJ(Bi>V}M?1aSG>q$4ZL<dOwUMAP*
z9Q53CJ&nl``vb!aCx_ubWgOheIMO68Cq7hGE-;4^nXjcr1Gc4R*9>-Xh4{X6dlop`
zaum80w&fQ5i)>5!D_~nna>0tNoS*f~>DdMtE8W={FkL44i?%bxWx@K~^o~VYn>KAh
zt5YnYEyi>k^Yf<NJ{=Vw0k?N&stu+a!cn_}4mN`Yw-X%QWWae_B9&Wj-J~OR`w<QT
zhMH2y_Cw9Bv@3mbG^;9ongD}eq-&)g*b6Oh8-IDIIXgbSzx!S!wz-dOAfKio@mW^9
zO`O4*T#L;(*<zH{$1#XxgUq&Ef$T4)KTFLr9-;>nOV~r0VTTa-f>j$TajHtO4W68B
zQd#5V>|?`BFUORTze<!<Os#&}L-?I4LwK$rE9#u=y?h6L`&M?~v2XE>xl$PR?K(pd
zNH9EhE*5g8@r_QKj?rnDJ&|@qnc(~D1eTtm;u~wI2Htn5SzUIAGnn@~wVc8D@#cwu
zRm%e;Dq5%S&+vUm0GWIk(kKXJ_2GpwX9mSE?8Q7Fg*=Cq*fac?9W%RUD5SyKGZ;rW
zK^u9{Uv_}aFZRqQ6?P1QKnG7_7W1mAxGe4%eCpdypb5ll$?c!##XxCW)74mbD(n^l
zy~gbojs$8VRspqF@FA9Aoty_uxFmap$9b)&QD?nJXDXa({mn3KXv=eflxpvmr*7<d
zw!l{=;C}c<zu#?-&%@_A&_b^zz1a@grQkknboapBy%0d|HK(Wao~U#^&CJOq$jHOV
z#nJpMVgbKN({rI5J50~grw2Ww4A3f?_%y7vQCg=1OAopbjZl%Eu)7Bw*ST?|c0p&)
z^^~iCmW|{$O8e0~DU#N1X-v;I<>z>u%k&Bj-T7z;%&^sYP%EGDb2B^*Wc=VO%i?iV
zy`Ax6#P0kF3NLY*vlm2D<Aa2#1GX<D^1?+;6R=c1PYMl((V+wd0gXM%W#N45*H#&y
zgr7xrmEbL9W2&E81<^+MFRJwZPziLCS3%*}^pAH!*$U|HJEAxJ_@_O>PgWUW48F@j
zW)-;fx83hotMvO%P>C}rOuj9J>_1mSc3C(%{y(aWPvQ#uB=>@Ed}C>iK=O{K+zF97
zQ_m0F5E7|nhZDEI%w7xSvvmsQ5Y?1Ce0~!Z<@4Dt77l<~{i4i6Mk|GUj(4u2CFgv-
zP2{eqkKA}a)}ed}G7U%l)G(2PIPO4uUcx#xEVwGG?PzE#uxQ{bYx-H$wgRzGvL}An
zRG;ZI7pB@+G)^b-!bK|!-&SZij1Dat0vdbKSPuSBHAwo~9^<YmW0X_Cqf6UT$rZjm
zYNJZe&l(uIIrl;`5eqPcrE;1l$9e(H<0-efoDAyuOG{RSje^^Iu^u|I0Pvh1Vw+T{
zgRKbdCX>(5dX7v*x>_j0!drMEQwLvPia}-S;GbZn0%PCUGak1~oIdZ0>v9Y`eQtJ+
zE_j;M`^2cS8Fxe#2cG!LGQ*@qvUf!Agq%HuW5Ba#r3p&?Vm;Fk(9-kyGQ(3_w$Eav
z_*o3Ne-`7S`hGOoRTq>rKy|?y^KF{Z@cIS{ftci*#pP7CA);N1Nq8M2vkjGFpj5V@
za`x!S_hcK=UWCau#P=d1eAGek7e$2WuRugthC)YGAQIRXgJwtH30J-y1AjQ*<V{z@
z_oTaR`1}*z3Aa1FLdMt^d2KedGS}?(_rS&37cD9PEXfH*e$)5tg;7sEsG@|!jeakw
zt`9S7#+=tG*tLyjJh2tonZQh@aT^vv<%`E?^AmKf-vHdRF!O2?P_W1JZyU2q^yte6
zmNVp%?br;>e3mU>xtvys)C0$9a1GnL>2&hXSk`Z*@RCtzbV>aC1)Pg|9Uc37xAc-n
z|M7BOydHhSI6F`#F*V?%mvyu^|3b4}ax*qQoXkegy;v|eCZ}Kxk;XKw2@DH48s0LE
zNsR{<EzPMJ#~5i$Ym~O}CCR@4Iu*;-3-K>nw&<_GvLy*#Od`{@@>>H^m=~SMG@ukF
zo2uYKR-D503;$wZw_n%a@Mgd8V0=v2xMK>UN!QCvr;(cbVb)N&?3<HD3HWB~+@4YR
zz(lv(*psz6xDQM0Zx37fB;3bZlE`|0wUh*9#M$z|X9nG`>+Y4&NEa?AvFY!Bqu7SH
zp>AY1JuYT=vR0PoWPF@n?hK75HfOy{bBE6~2&9U<9V&tE(a63De-+@vd<XvQ8`*&;
z1qk1m=AV)6#C+@_umxpm*eHG3>D87$(}Xd%p-kRC({o(5#207^96J1m0R))#N@$X-
ztS(HidkZydFyJwT3OC1n*2mo?|5?v$Y=6aL>mSqq6Ldy#;C=_&EaQOY=RnzkhXe6V
zfCJa-yRC3RlE66bVX)G(8>eg}j^zn8(u^XxEbAzasg42yY`G4HT2JSR^`j~~$U{OO
zLA24>#&=L24eFyR5aHO}wLG015ROc;tRCRR5_x$YmQXe?kCz6Zp<G_xT|6Zf^6~_M
z4xR>!usZI9IEyi-=ni!2Q3(+6{0p14U(Sv{u;|_gm2BY*FS@ViJMi<Q?7+il_-1KT
z-us-E9o=lq;1a34cjr(ItGrM1#QIT{9Ym?Tukjs}N27$w%L5Tsc|Yap<bZHQ)UWb*
zPAsAF)*fOruFYPo$}6OyoXQ*KDXF0H1c45o28*yN@1*$6Z%*wEWp$OpGauQi?g{L;
z1FG&6s1&Q}F62A#^P=p)qw4TYK-C?ltvlOEAOXrtcxHatm|W-dVRNNvnlF*kyE=z&
zSn1uw6YIxUc94f;y#<})DBi<&W$<<+E>3T8wqG8cup&%(iaBr`!SyRbo=;0C!ardN
zWffr|4doQ!J9$bfC_+J?gQvkPtRj2_KD_uTcEkY{_z9>Ks{+5uci`tj*?~s|;+ud9
zT#^qj{><s`5m$#l&S4!^hpP^?!EuQ7V=X(#t3&4VhxU?jDBrEY?UAaH={ZhK=0OXq
z$rE|%InW%j_Nz&rmrJP0^H@SzHCaeQIW_rIo{|b`QV{6iX)sP+O%|8Mqib1wA$bs8
zW9Xo_kFFW#^ztI$%ZZ$02Onb~<<c7E`M@~do`(Lp%y9{oI*R5)Aj2;C13+a-Le+tz
zXimgLMy%!JP~`XJ(uD~V#a{$Hd<}h_p6<|flAv`y9$Q9hvE=u0PKT3)=&6+f;opp)
z6~X>{a_j(m{)|@fRgdN;5~W++e59eKh~XQ{;H>if{uC>1RGb1LFpwLZ&(<-lT76D@
zE^%VE+Z+`iNE|gjop=$R<$`m8<4u)o@BL1q5zHzIZ+$2l1~cF99;lT+ruBY!3MScx
zbl+Ot*}32=%Vcu&oSlo#1b^gsm=g9hf63|CF-Hvbj)@ZTi;177frN{iCPb+NU0;TV
z!#GlIz6LRuI-bKYkUH)ucZiR1G*GGcHRvL@rA%kL$%aA~4JYp_Kn_8c$5GxxMfu|>
z+l=5^tqw6GI*YP%erCMct<6r=#Oof4#5^3SZFg!nHapEOeB>7HH8)egoYRX|w5>P-
zckp9u?hSKBcyiUTl>MQtfRNy;cp)LzrKH^x9XiozEKIY(_>Uvv!bMHSPksaw7<<-k
z6Eqygh8SN1lVkiGE&;~(lp8I{E167`tqJ1d_FpV6>k9BLDK3}0@s><xE^l|*GxIYw
za4$Ks({0{7--fFyYk0N`z6CHO<;Hu8D<8O#9GHKhp`_(@ESep|Y@$SHH=*WTXYkd)
zM5ymH7M2S`gl;C{!bK~K&@Iq#7#k8H4NOjia<~LU$W!jLDy*X?Kdn?9gvq6(SeULW
zK)$3fot=5{YxQaPYC8RA6Rkj3f|WKq)4m;~2H#{$5iCJ)+7oi_Q7oKA$BY3;sWBgE
z$VguPESmSiJfY;}4Frr=Uhq}CysW^%s*r~GVN?A9r@62g7!vc>L|(XPWr_J9G#o~U
zBt}4ES)a*Os{s>n9oaJ1j{Q=V0ZRN?leZAs?^fygTT2D)_p3pBhXJj7CVSZin-#+h
zVepP-?VQHTadtrCdCDDAEZ&;!(}=>L&D>s!wb|<mrmmzm3w%|4*V2Afd^CDa!*Z&$
z*h$b<z;MP_@mehR;cx^&X*K^#J>8_6w>jNKaq9U*ez<65Eq5_A97d0{oQ5tZB{}2*
zQsODM1YZ?*dnuNZ6AMtyNeSDeI(Gc7h+V8axQZU3$TNwrjc8S#NmPz7mCnvnEsu97
zr=@mKdCnx#o{c$^i0{SWj{A_U=x_)96*%0n$TNx46VuH`XAI8~j)6%vc4M<YHs0tp
z$9nxnzqjaf9@t8IqNa~~JY!J@7Fk*sar)y|{?i|9ch+H$N$DaSk^Yde9$2PZ@dmLG
z*zZkGkBNJn#Mv{v1Zo5hDve&*ys>%PcKDJ3T>MaQJOp0r!y}nhytUSuQwKqy4YUn+
z(|@qF>pj=&_UGrOo4e;Sa`9pm5fn4eI<A(}rc|>2ZEN8Nfk92BA6Bg@aD(R@-=u4$
zpWX}4m$FQeyJUA`L2+T^7L>A4f1k$BcN~I0Xp>=|yce5sPO7{`yTRdrQ^q8Q3-Hm!
z(_)Wj90fSkHvn0x(%F;GvS0@iBR&O{ViP02!FS+~JIf9{i4pk56iMUk$yz<5Lad$5
z5NuA35;n{I+-Wr|=%x+DoGmeWiVJuCj39OT^+(zTIN|kL=^{K!@(F6zV4wqCUe7U4
zNyqhL53?sEY6u&kQY-`2`40RHBs=gh5WWd8Q0DH=vyR98eXi4zGjb#D6Uj8xM;yCs
zB><fs{p=#3sK_plFTJ?u`N?QP2<C=#o%zfb#RiY6e~i}?9C3%?X88{M{3JW@@DsiX
z@Y6;#K7z)O1S-#J;yAyJ%I`S6I5S_K*UDT5{@fh8;oPi0<O%hoD?7+Tu^cQ(C(Qe&
zd<W%`pg!WHE(ZjAQRBOLN=rhqpJ`7!n0%D)sXQijXQjaLhzP=FiHLDzFnneF*PL1o
z%d_wWh=3)>!(*_QaPa&I-*tIBOKA2Sk1<zPE<fA`wgg1Zdcdkx51K+BMt{O;m?f0W
z>Eksoq{o!Y>D$axQX!{L5a{4(un2389qEQsY5yU2!nvh19|4UFjc#X09kB8*gi5hS
z+SPmqeqogzc-RZySQ;bS+mtlY5~n3cM2vYFypc9V06IPTC5?vyxIFe_aW7=Y%Su`y
z4do>5<vb-7Bux-lQPQ4R&8w7?K{K9O7-D@Ji$Or{9wfGjGiKk<ci@*h*?~vy@J&GO
zj*IZb1x?zatg^Gze%|TPk(ToEX?7K7xO_(7?STW|Sa3ucE<bc?IYaW#2~ULAaPdXQ
z{}=kcZ`D4__QC&|q&q~E$5r%J3Q+^C@P^^wBUnONwDQKB50e_-!=nd^(|AHlLgDdP
zT)=lw9*Gimtz>Y6C&Fh{uIA}vfr#p0d=VW4^n`6Gg|{{RCF$BD37&5;y@2mKV*VF*
zrbF<6vw-^zB7Ti3VGzBR9W!eX71B`7AbJN+Nd<#Q5a{4(%wm4)QCt>}6ZxVj_Hm*O
zY@jXAjVr0Vv-W?E1tjK(QR};8wX3hP$zI|XsZT@iw$O$bsc-X?`W2GwAP<HS9I(B7
z|G{@-%xvUl#ptObD6EHT&0{O9-9cD<e$Nej59JXl<M+&SNO;NG#1qPKNTE!sGj2Yy
z%ql0ZgILd!oN+s?LiT|AV)Jig2%Jumy<Wx)VJ+eh@IC3$Nw_AvJ++52C2A9`Mz=B1
zZ+688u)59ue7A#H@iTb1q+xuZO&{-DL<?HMBs-8phm%WrMl~b~5}V-q^o_r{Gq_zs
z0jt3I>c;bQ_{!$Y>@D!^ypEW!9?pt5cd6%tEt4Vs41xG{Wf4!FhBc1bu^gr=qtSC-
zu|D7fi_>K&RR<Q^SZSk7w;0$r<<8KF4n+qR8?_tTw=~rp2^U0i=Bj=6(NkLDtl|r!
z5is*1w?VD^S;gnWQ(!IMSw(zh?#|t?gq1CxGA9wG2Z|}7*^%-}?{_*5y9JC4=$F$#
z!bMGEq|{l(KZb_GI8t7z1~Hdcn!_-VSL!LZzr!;cqttx^66n^?R@~4D#k&gdGBQT*
zq@w%@#Y>EojqJ2l<f$`QR|a@W@gIR)lW)U35uR3+Z2f;}=w9)_S7tZ7cw`ZQ4XMZJ
z@ja)pFwF+bf18L47d2Tvc?b%}o>Ke)lnrA;EU$sdv3w4f0Ly#IomzokGO?&q8$`#Y
zqgZtQp#b-iqVs=^JQMN3IgyTWO$R<ny4#GXk5GcD_+%-5j7@&Bbfz&khX;MJotnsT
z#go8YOl+-9VP@;Ct!B45gkpA6a}VCm-);85+=Bzd@F=S$YLR6@-{Qr$m?{i*#v~ny
zq{f`;MmNwYkTNYk(CD1{va)I9ieNp{6G>~pvBS1>g}FS;s7i>Bg0=!{9KMPd;=(WB
zo#8YWrrHqWClGnzqLsz?NziZ@9TH;!jkS^|uY>RL$O(cksM^zVMU??c{2d>I)oDrz
zF0xloLd{r}exJEiz&0uYo3d_-TdRyP2HBOQN66%abxi)UXZ1x@`u?4zLiZ(=&}G^7
z)l~)<1FoHeB>C5VXhZ$hDwO>BQbGN;N>KBR{IMz{jKR9Vg!)pIem}od$bPvJvdPa4
z-Fv;Gdw*JGfC5-c*Rq}bs(L4&U2?`Cc5kh(0b|fp?*2!$g`=f9eRR_a2Cj>3v4J}b
zv&LO(R?@(I6ko@2@{u-whOMx$A*IaB6QQkunTf9~G2m?>O!ic^P(JbVe5bK6&4!VA
z4iOhFTG`0F5E>3+Lq?_sCZ`^9xCGRLr(C7`G%~5JR2_uLrKDJx9#?>TNn!f+UdM4;
zH1CCZLdi>?fbsfP@KwCL6y6!}yH0aqF)$?NB}87hXl04H2O18eLlPsPu~%*GI*!*>
z8KA_URYir+zN1RdZ(Ay8-&GA-?mCXYuQEW*+BuDv<LrRO^OTFYVI$LT5rsjUxxEx?
zvzrU1E~m}dCe=j)w?}x?<V6D*$%(vZV2X+sho2(9Z@y-ut(3y50YQ-8H(!aB3Ib0?
zVDCb4C+nmP=83PIlY_2H5x+@t#o>`H>HCAr|M2zD9K>tkd_M$imE|yqrZRpSL~Fos
zN0h;kzKgv9Y82U`k~I+P0keknp>%1IS<f^=<h4Ab%<vS8JOL}kv&aGZ1n~%k;YBdf
zjXuD#YUI_}R6Zq|%BpLe*>}NG_hgzhv;szI&W0CXaaI6S@}=X9JJrH+T6uV)+o+MT
z`j0sLVnQHHC2AAN;m9hbIGpW0k+-a<@O`OUR#aw*=3LJ$D-VGJPMKR)@V&fc1qLQ>
zS;4>9TUPiniA!Kw4Z%3AJLq-=yGlKog2;Qia$>sC>-j$Ii?0P;uhDeTUoKs({S;=c
zs-L4j_d>YmWmk80syz*Nxz>p$%;t!@q6NM_e_CA0QL`WWmKGSrk*(!=BsZv>1W;-8
z`SqrHkltc8Qpb+B)-J*T(H%9+<W(21^v33z-7&G0nP<g(pWKE0Eu17fWu!Jchih7I
zYYqDlU(k_9%r;3Cmwilpm4Hbtb?T?B=Kc!i&Ky`+!c+<>UX1cCT`PU#qxxbLb1LMG
zC(qUsbz&q_C<LR++Yo<TgXO;k<t44Vn`Vlv0{Tu1=;ZIP8M*}}`(pim_V~mVE%rm3
zmM<32a)0ZUURv%6(efINX6upSbjj#%&^;fN>sc1b&Kj=3B5EGR4;z>tvA_h*cYO~k
zfiufEs1W{$;Q#O)_|r;d2cClp_{Nl5<Mxzw7iG#u0^w|5(I&t`jwx~QQFfbQU0~V-
z%-t!X6Ek1A^}}?{+@7ssQP~NLHtpp1hmOf9xXiU~@QpQ01MBd~j7?50XCQv8c_M&3
z4~U+V8E5f*8(Enl5Mxeea5&oQILo?DQG+<8gz)N_ZwWTf1nwx2#}rz@a?*EjzPyq}
z-z!@(pTz^}KXmd8s1z%i(|iYhZjl{$Bop6QESqVeEI60vB~QN7^PH9(Ha2D}#7fSo
z3hJX+9G^|#IlZws2Vf|1xaU>uSlPop{8Ru9<qr2e#8Xn?aE~CcqO2Vex>w+ooS0R<
zRN&+6kOLazBg7?fi{BUd4*Vh}JMi!pz8Q>&{m5y_VfrN#vF{OhPH%n@<6$TvV(X5!
zQL}qzMXZnpOT?B5)&wg9{<4+%MxKTW!X-$nC|r*X@27IowOW={E0_LlkMN1?2m`Wo
zDpZPHt}fy`@XM0yz#~ieCLl{g*(OsAI=^a}MQj|N;k0XWo4MbKT)fP#ir27f2~nq0
zzku=Bln}66*&(w6R!D;-V8$olz>@bEp)ckssUT*8z%pW1Tow<gW}bv>gPYY%-Ug=U
zU{AuWO5VB>99RE@HZ5#FCc!l)cGh$h>@VcD3TB-@3bp}d1N<;zE3@^6+3}<~(Z4}z
zjScB)`99Ns*&`VCgU$qHn~U@SUz5p)fM~VhP2P>Q#b$q%=s4?!T<m}4G;hm6J^2*0
zCeC-jZfvv1#fR?H4?-cFA!v(>Eu^cu&8f-RiG}1V*y>vPHPdK!7LpG`)pRvH=<k_p
zE+}83FTwuSMz^!@;^bjyA$b$jqBA%&Ny#^{RW(epW8AoRd7X%}aK;O~(s)KM`2v)K
z6JyH&`8VUA;B<tQAv@J}>;>a+l^z^BtO@rXeuzhWga@<R(aoU`x5X6IN;~;F_BNb+
zO?Ik0oi^*3dK>2gPZjP}9>6fL$6eZiyQJZGXQSVwlz-E=CcxInMwQK={jq@dhh?En
zet<Q^@xhE49)aV7%W8u2qL@I1=zfL7YHbS4K9KJnZb6oY6Ce0r!SO=l(WiCjY4Ilx
z3%!3wMvvDFXW5DhRpuEG69E}I9GU~6^_>^QSC+Zu*i=?JOL|al*vk6!ywUtdOTgou
zj#xQX-!dE}!ox*P?Oy79;Azk>3my3ZHEy|#kQ{7*j1W&b@AnEdR>991x-Df!N$9ZP
zV+z1S29cjLJeZ2|hXpUoJI%_T8B||q6IO|Rl-B2XlQxC#l?IHMD*^gVE)H`HJLyVZ
zrU(wNyx=Rdr_4|ifj3)TG6$RY0O50-#=>OdT*>cy-a*8Li<&Z#Y=^==`-Ti4+Z&fW
z7s|5mkW6T7ax#&FCLj}@a*^LF)cm7oKP_7mw4vL7u_R3tKweUk9>uBE?}Cw<>>Xw^
zmQ$1<y`6yb3KG6Dds>trebQ+xOtv9Ne@DcHi&hq-e}INrcu0^mHaS7cK@$)pPq|7N
z(wQ_>stzLMQc^5ZZ!G}7q)443onf`Q%E}PQ2))`Bv=JujOg)m{3RS1qyTXiij=pMl
znp}kRZ;ckMJS&c|**MHjEJrAT*$0{nSZeqxUSKx(aZu)3=(Rn#Bb+Y7gEPcx0}UZu
zw6a(YL&GeHBvu;1oLJ=m42YGd+!0~c(TJr?ArKL_)nXC(Wmyqnn^al52Sl_g6W4G9
zRp25>4iGzxUr^D3W$liYVmz6(`%J7<u-`Kr7i*M+D4EC}WOJH5gDIRVLltES&Oi;$
zSA}9D!A9y!fz8jh%o0?)bhUA=obk48vOP6b;+tlcvqFEv>`dG|3-3^~JF5QZslUd?
z=iAeh@W!k?iap!8Z`u>3hsC77-I;5wJ_~mwbjM`(@MW>`L>ZZHLNzp|cVmM0^(y<V
zw)tE$(Kkzxf-F=Vj_{U>ADZ20Mfp>f%lMB}y++qfAKYv5;N%25AJiIO`biSoP~#Iu
z7cRa}*=CkwvEFJ^O}z8e=79I<S@b371wwZ3CjAi?{{95tfj?v?JMe_;@Qr1eWTUT^
z=ZeDN_@Q7AQK>B(*>5<M##t#$Mp-4A%xED+7mOS<9SHgYEI41KIdzEi2MxvSgx3T!
zf9f67tikt3&8jqBuQJQ=w6=u{Y~y2XzK9ygK2Rw(^n5VifuE0M2Od7gHvvB0-v&k^
zlIPJis+<!5t2<3QP?XQ>$U2JVrpM)w4PQ%p7EiAqS=m7z72ko6OZgtkBO*Fk1RCKh
zSf9z$%Aw&%q+fV>mMjtR@3Vxm5&uFO%0>KNz*ABo;x7nv@HE&Yui=WzV#GhQnUcT2
z<pJ#w`$}rTS)}XYc>8ti;LVt&xfy1bnUcKy0QApoJ0w)<_Fo?Y8FtAl0hNK~Jcu|t
zrahzw<&1N6y|0`MijTeu=Y;~#1z8Y}+ujzJo`LN>H3iqFbtalMIBnU#byj(MdOBzt
zS6CYm$tQ4Dhm*gHo?O`7Q9yd{GsOw@kH~?7IIM$RzRLCxagIS>5c{<<sHzC>m$A}D
z#VNq@o(Qk8<3Har#cOqw_sBsgcZ9X^Cgv_QCMTP4gWfCz-`l+!oRsqV2^~vbT13uM
z%|x`r`&sl@O?TIapjMWKf}R5z-Tg7V2>1-~m1WU5`pb@1*#~vxNbHC9K-L^*Hy^fY
z4FBLtsKhBJQze#)=?+1|EMVjx)M(}WgE_DQ{y|SUrCh?Cqk&6{%Yu?|`^eOBDBAl2
z;sSmKq^k+VCeqdPMJhTlzuvY|3?uz|=VPUKDL))lKPi2<2-8&jYVRE`kWEs!3{1||
zWkx}Mz^6hDj^_<OAdYsxlVhEImtt)_)8i)f)GaeSrHW^<Qv4*9HmP11O_ZrWl8sO;
zGX5=(r59_E=R=zXlSz|)S8+Mz{6+LiO**R&)DdyDfGaO4UrC(7PL!>sC)0C8oKR(s
zh~s;46#G5+*GGonKlGP-6k9lQHwrgbW#9C6wQkelX602@PUSA|UPg5c2cP?U;8gZm
z6+FSJn?-o24>b*utUd68)mz!|>9vZ`no?xO6I+5m3#gmRet1<-n<hL&{V825eQ57-
z9?R*Lhp96^`)d6{xZ3q^8>)x(pnbkp-rJr5mV5)7ArE#oVJG3VZkwH%qe}wrs7<$f
z{oURVo@md*h&V_eS;-#BPuP)|n@<0vXJg3pMDlTHbgA}!ezwO=6C}a!oh(TErccU=
zfb9sMvw!N9`U@?!UVpX=yA8>-y_(8V5MQ8>k7cF;_`<7H)$Ee&_c-9z;baK^F)on^
zs|lPGOs(E4^#V=GYB^T#W_Doq?a^frRi@LCSZSjazrbfsj9qL6wNj>v=908bE#Rh8
z%8Z>1q|H#Hz>rb~5@Hl-ARQ6Ws*H{+rYL0~De=}*mN$^pQ5I=g_-?Ct22d$Xq}})z
znMm~4(wImW!~OrW-TtBj_*<)3NTTmW7)Tdd29g|#_-Bj{U4dIC5Qm3TLWqd6rPNQ&
z{<Ib9!`y^5BySze>ALA#_a1Xfq2fg2kB>rIfSKLPP@-1dxG-dYyE8RK?qhqZ?$&Vo
z47oti{Dn{{HrV)bz5{;{NOs@}HsTwTwaoFWAfiYqq4C!}0r4ybXhZQ9r|IyzZtj(t
z@I%&7ba?H}Ib_4Z#=qt1^&=}ga2%Ro8VT2ejmW3@9*ihbBqAjPGI=z#$-m6KG5%k8
zS~)Z_!=1c@{$L}|l3*WgT9!Hc(`Dx<@q@o?P=CP^$_5(?X($(LTz|YROE$wN6@ra|
zKnG8QP1F_&ucLWB;J}$Nsw@T@vqd3!9>O<(VB-iocyr&kG`wAh{v(F3f{i`|GMtl}
z0F|ZMa310@BXqb?Ob6{1W+Y=5Zs0DF8#uW=!*4W!Nl_bzeg7l`jA{+|w3B={DZa@x
z1ux+8Jd7#nucu|Zx`DN)1vR-6xnnrl70o1StG74WEHrzU%b~)$zBWBzvN_f6wDFR{
zG4#JI+`C}MF`>+%PMNWGzd2(RyzVui5U=UMMUNAWPOUfBoWL)x;snml_vhyOW3X4B
zY4qXneH}j0)$i{afs24==HN&)T&>vbwj0y!+Z*H4aM2=siL1Y9bZ8fq+6q5sp<1oc
zZPvQ8^Boy&oSL2Q)+V8onFesrbYr5~8=(t?k$x&YRD=KZTEJ?}PIGc}2;D`{+t%7u
z?V0v;ql+<1MalSlAJ`JV4%UN4`wj3#O@gzb(TB#`6TMn*exg-t^r*@1Je)S3!S1FT
z<4t1S@y2+28sNi+5L$;%lTFV~KxMe|5ko9=$uXWK>y1zg&Hlvb&{f8mx7My8jA{@;
zO?n^_CLlDb&TL;0+n#DSCx^BJL|bb+o4r1Ykgf}e!MAMTQ3DVl9BJ&vCvAtMnY1=t
z0T(Kp^Ox=z;N+>*aG-5w;@T17I$cIwlLSj|OrC}R9JONz#C;0>B>o@Dc-!D;6~ey(
zirL~&PnyQFbjPAuHDgmTKgmsI`{ysVeKj46Zz!9C7XgKU;S2DeSnrrK2P>fd^PoPg
zAirgdSKw~=a)umuz<f0yWi-89(DVmoXhM&jVv3bO&;k);+eW5&fI-OHML&Y}Y+3dM
zos&r{syo0DKZiQ7Ip_t0P)>_eOsJH6%(ra-q$&OzNL$%-ze`NRJMf>1EVvpb<RLL3
zEDK&ZAaH?o2hmi9!N&v!A1Q-@$?^!m2MK^EmKRu+VR`I8usmODObp}>qQwyYTYfzY
zrDEA%SNGWre@6iGE&L~z%gq^H3lktv<tIQYHL)o2MQx>qOKF3qjb|Y_!^-m1S`jlz
zE2Yk@y|w{%BiM}k!w|+34IsHF_dB5kdMf0w7AtL(ThQW=!_~G!uC{rzy!aa|RAKzq
zCR&ZojbLNSt&ONKgh!(4mX&<Y+1szU^70F=K3CokZeIf7y7*+Wiu>3`;FxFx%-oJ0
zFt6Tpx{c5rrPHmfJ$%=_?gha3)?`*tdnX7NbP*Pr_awRouwSk}*wgge{pscyTw^5?
zTn)o6J?aJya&a9PkbERpDkGE_Y^yV3UKGy6(s{C3siR=fV+nS?ahbn{+#4ATT17<%
z7T>!bM;EKAl(0PmE5!@jK{z+^Loq^(l*abF(UOpQUcx+d$`DNRa1$XGH4iwj0ndY#
zmR6jqmX;ZwnvWM_rTF<MovQXgG*PBQu1u<{Csi${&M4XSl{7=_WYVPnQE@pHiAD5E
zO*$+3Dpf68Iz{w`uOw5|l%GydW<C;|yamYRzGi~&MI81Y@h^(Q(qBsxhrJ41K9ghk
zo%S(O!JBH8a@NGfWBOS2g;k=mHYJOQ&hE6_s&=z9I`oHirrI~cNo!DT^0Oo6L20vr
ztHoB$NPOFmMk@xZbKmTTS`E^Q^&^<cI4!MQ^O*kjJzXpP%e^OFYr~z(g4^GHFOuQh
z$2NYy)JXV3seIHsLoxXuY{rQrlNX%h2RZv$4B5CVFFRIjJj8$>oZokhmP1ZtS->9|
zI{+$0L^4_!^jSw`jWe{54fD7hQ%3$OQC6+%>Zd&mCs!H5iGnQSs}$icfINxsz#nLo
z9e4uT_{NkvBcQ#`kb4P6T-^2wr_Jz6W-g^nB)eqXc87q|Gg^FOjn;rX{2`Djr<OAw
zKjb_SuvPJ3>A8dXHok8oxEaDS=0hOtd3G@pXKnY(BF|?fqSW`X!)Bw@g*23lQoo+3
zq(YQh5a{4(Or%=gGKE!K7NgWYC2k*yU7ugFJ#6Tdvh~|XSU60_bci4A`wLU2x9C)r
zzXd`f)V>N}`@qRyP5u>Dy`>6Z51XiuI!n7soZg#_7Yg8hTbdt*;rA`O8r@#A*68=U
zZHRL=YiL)CFr%@Drf_?&IX$Hh{+6z%88`VMGVO5k{b=4*;q<+JR=y*LT-BvH1e4`_
z?ACmwAtnocpSr!eI_spN;xK3>&k6n#DcmT{&VW-hIcZfs<hdpH%<$6F-U@bUuyffB
z7oEew;E~z|ojupnfnkHqZf*A=kgiw}qSSB@{g%e`d{Z7ccdi#Kv|xv$Auzp~{|Xp*
zy_$zXbL7?Bw^ny-Wqf6sGLAiA9}+g)A^u#uQ=I1bxw`_e2Z7p5<b{ixOF$V<NpdPQ
z%mPGy5`m62(ByRo0A*skv~0Hn*`-y+D5ro$ca>l<y)%$MZRvP=mENx{fpBs$6plPL
zne2wLl@O+n2TO$W-x0pK${=GPUJlZ$@TI?PaGzJD-{(Lj&V(@8w-mU)T@~Eq=LY+_
zDW-o^WsDMA*b8lPqygVp3M6oF-c#;`NDZpzD2=TFO2zFjv(h~I4CDtrv|t`_wUJk*
zA4Em@E7Nz0eLj3GAoF|Cx*?zAAuq_x>UP_c>SGx-`X+p@c5AEIfn2Kwy&$^=krJC{
zJ7%W52U3#MPmLHYs2_EvD6DB&QC3$@e2@kYfu#Iug0C!QVD;S!L`F%Y_+b<N6{oo{
z;W#&PHTe>e7cN>^9KQw)vjEX*BG9o`lXN+_J=HkrZ+n>kUS*ha7I=Wk6CioR_i3h;
zo9y`tqh<iSFH{<gzRUR(lGV_5EXKfrIc=0<z<@ULlsmJsT<Y0OtG59f%cZGUW4*tC
z)pHt)ZBktlynjTiG8l_icVs;1|54F_1!H%V;#|2&crsQh*d!R%|8cw2N8Vlger|Sd
z9&%M7|5k~0RN0JCqKX4gJhRL&X%%}q)ZnBOc|y(}!ZG04D;dJQz0B~`R_|7<6hDjh
z9Y&-K9i<71#4e=giI&fMqKT}!v^d=tE5N&H=2&e_%<!V(a*7!c)l$sB>k@g$Ryhtz
z9kNwEAU(;R&@OFKm|IBjy$J38EeuSAcImIB3GH4!KL>%Rrn**o(MN471$Av277^6F
z-*PqD%~DWTT$>G9NDa8KyEi%xXI{oI5Jz`+Uj%=E!812GihpfK$B+1lDUW!TKzvJR
ztk=H1xfKt@$Y}6LE%bF^G-K#6ueN9Et?aUo{cQr3Ms^?DLj7gn3e!@xWr+`SenHpW
zn}WqIN=|V0R-C_I!@SaT)s0x{`HLk)wwOg+3*Bx1rYF=F^9~#z{t;9Hr<xJ^3rAb`
zIf>)8mOu0-JMhFG@r}v6MzodA=vNa=iCcbgJQ`<&Y18otY~TlL_;1bil8M_E_8%SX
zIT%PIN9Zy)wG-c1kQ(zE4(V=oYS~&OFt0oj-jMEorZRQlK98rNJlu9?1H#splrW;#
z@}u!fN(DsM0-|C)a^P(71eAx<=&2-@j)moql?yH56g8+c!@%DYDl5ycIV`Xg=TzuA
zqaeKmo7sA1uda9VAo@r0La1c3Nm!x2obSNTCb9#MLd7?h^k<7l_7%UpVx)KW$lv0$
z<Y)wAVj`6v^%2cDZzc?#PFc7EXp~5@_#``IHpzmY5ul-5lEv3}N-88-2m&ig*O8n(
zn-j4E-O@_V@-J+b`#C%6fc5e-Vw5=RW#!4XbU5tg7dF{}hrRI4V1#X$Cv2&O?J(#*
z=W6i_8;?c_VLOu@GAnF_G?Wvz%XmsE2%8|VjIb4##f+wGzm|L#EoaZY8+v2uNo4Xl
z&fDzZWAc}BzVB4@6Rql-KJGJEUM~D9bIAun24C_S0Opa&TyplI;E%*BALYzY4$$Z1
z_6Ed)zeDl(Ysl+j-lsu#C*pnu@7}nj4c97Y7j0x|tz46PaFU0U-;JJY91Gr*xEJO7
zII{s)2rPpkzeElh%(3&;9Rcafyf-Nb!?1?V9C7u;>=axxK~qB0fUfh=p$jG_=^hTa
z6a{X`!0R*S;W7yKPK_a00^2k5GjO%U%s9NpOD1MJo9Utn(GQ(5l((wriGB1DmhsRZ
z3m&?^EDt5Gz#2#GSZ>WmwF9MQs+9}|nvXQG<n4ZI8A_E){?D<JmSI>FJ>Oy|pMBLN
z2C84vfdg^73w#hG5IgToHhP)Qab!q75!*bOvxS-gj;W683wS1lA!diw3q3}kh(^hD
z=D!GPc@wlg3NJv`d?9swWm!wkHpGrJuOzUP<tTsI6a00jLC2aiRuBvo$)NgIiNJ7C
zb2C#aMeAW`n1zUf>H;5YsBDVXe^(i!oCFr%LRXZOuflTnoU9$OCpiqXF(<2_QqKG|
zrq7&{<UatB*rcv?&~T+W;gh<KsWQlzNjcCJeZ~Lz7dGstR-tIiQo;U&MZhjDKtcsF
zGUPb4E~_%g7}(ca`c+}>JhcJeU4@qGmJ0Ces{+pE*Y&E5QQ{4|WjDVL-&p!TkkR5P
zcL=SY&T6M8B=x=qbHi;Z+a-iD=RO29a+(O0mdu>{02Spk=gu>njkP)i2q|qYvkCL2
zph*5lvl55wThT3NrBu?^GmQ&bL9dRUL{?F%l)3wfg}v)LzOv?*U4Jrf<c8GaeSC-0
zSkyZ5HX<%uwDLOgE@+sAht_tDO^)?*&;(fDQ|_b^+@fbbEmI2w#qGCPP+ndDbxA?F
z#B~{F(o$+C<rA2^*HKDM{)GmRMCXUmJjn8f5}of7WM0w1R|6BBeK*^Uh2_C8!Tz^k
zJ}ZmP3ZRCCheStXlM|gBGy&1^l-pd6b@b$?B`bmexxE()(6<Tz&j}FQq{?{w>xlJB
z=FH(vH!@A?O=77#Fn7SHo;=2QmaY~T$?Dsl^luF<$<>ofF{sRVycjDLY|IT8k8nXs
zL3jL~(mx5)_VhB8P#)T~P@~8|kN_jar2yt<SmvQAhgPXPH06iX0DAJ!XkW$Tq2YUx
zhxU9Jn8-t;zm_HsZCkH#OLNiLXJ?`nCB1B2^-ZdRPic)}&x^=8yVlA%qhX*UajwyC
z!9B9{iSouY9>Tj`r;A~sF>y7>R=C!-3olNbYfs!X-8?azEw)0?Db99@AGVy`&vG}P
z8TN;|Zn_tJ_f;U`<b$2H2=s+LVdQij#WyC)XF>Nhsyw}c#XoysPuANt;3YD*-U5|k
z6AeDVci@kG$__lSPkdvUEZLaXTTCt?aW(^pgevB2^S|J<9JXIfqlC%2$~uY;Nqsg4
zZ1}qm-{a}^11meoqp}>t-vQ*m_znV&G6oRpV-Z+{zxuFl)aD9j?l>%*)z2S&=J~Ni
z^!YfJP&WEpNJF{k^XWV#6{63AKnG8QOUy*7Hw#A35~+rnwJ4|E!0(_JE~VhCXSR;p
z$qqG;-*FjKiq&z?<U8=QpX|V+<M2&D$B_t;c^M_bU8f~SE{w^E)M@2JxI-8^o%$t=
zN27#<-NO!<m9Rn@ED2kqOeMvE*#n#X9^fgeAZdcoGLlwY7V|tZ>nnK^D*plGdAy$;
z{3DX*@m?Pn8m#Z+dH6uc;7jfWV3sP+<Di@guRpLN=7Vwz?vv|sVRpxct3XYvPpHs$
zEhgK&n{?Da^jdRo@-3Xa;pCgqa|qr8%HP=gY<EKT8*-q4>^j520Nw-G?bM5pUYbb(
z(g$EZ(!i2C;=jwFs`3Q>6Dw_$(mAkOT1M1vp;o_&E@`27!7kW2Vg?Dm#E?HOy6~@9
zjqPxMw!4tS&K}r<K6Hz{v^i^oA(f`{?w?`Q-mw3H&|DzwkFTsn)LAgCSa`Zhj9aO4
z_0uMPlhb6Fc*Dba0+ARlYA(E`0{<sN!z@VT;nWD_Je)az0v=9Jxx+%Nq47$CML?gp
zEoRy^6dzk(0HWcw9HOFpd~By-KUyq*H3q<%y*7SK7|P(a67uHM`pkR}zD?Dv9V;9p
z$JXHXiDU7jJjZ(PVz<muDHPT-4HYSaaiH4d)-b=YQ?7je&ms`KK7V{=_T=VkR*;KZ
zohHM?8*<Sn62nDJxk%21!m-I0d!Q@}63K-|C?^*=fC6&iDR*uJ|2%xx{epuYzU!69
zL+~592!0uX>-32cEqOU{IC1GJmag3eQ<0M{wn-HeSRK)-bXnu77U{D785J#FiggS?
z%AWph%ia5cNK+cZ{D>gPn816mQo$lzIwtTBWhkMTz$fAXMv6-T%+Iil2`F=^R7^lw
zuNpv4OyFD~m%DZx-;0>Qf8k#r8G`@NUrQ4cxD;;^su~k;E*q~D8NmJ*5gFKJZ7XOn
z%HSinKYXzc?^QPg0e93ep+9uXxG(`1bIJHYr^L#g@*3eK<Lh;;y(u~%W{;u+*_rzl
z;;D?H&<|TP)$~|>j(I+clHrsbjm<cbiOr>EUru)Bs#|YWm#;H7d}jI=>;<04jxgYs
zI~6L$y5%n7JMg>ZWCtF%9KJEv3gggtNw?fHoR-3?j%fuA%(H$iVd!+~cgqPh!mELj
zPP`*|l$tezR=irtan3rUJiP=1)_P`3$elcj{sHX~L>h<F!)Ijg<~#87kL<w1KlmoV
zKSLON6*^a<;_Oxd3F0vufd`xxohdbT(@VlfuM}8%hKg^jp&EFHkFNivQ_C5SA8(!r
zP!)M3oxBX%fPI|rI|9l@pGOlTab%6<Vh{3y{i44@{%v;HthbzJba0_r-f}K6M!3Ux
zN-B8C1%VEp#zf|IS8-YNlKWOy`+j%(GAvpK^IT{bvIYC_$J_GbNP;nlNWr!{i;lq_
z3UqL3M~>^<hfIcPvIeI3k#U`qJq0^9JQ%qbnu_F%9+Co4=;lBCDPX;4Zhm>)sp04k
z7tmanoQE7YoSYNQc!(|@)!d6*{lpdWfaX>?&_~48e`Og|m6zcPth7-Y@B?%8k1FHc
z@_V}eTtteF1PE)SqO*S{df2AF?hL5qb@sR6MZnpQuPl4RQMVPGn$L5Z469)D49Qb|
z&mj`SMNMse-?Dv{?Sua-<@Nt<=z&Fxyqg-ToOd&aRKUCGDR)GeOSB$InL?mm+*Y&2
zA>{d=DnJy$mnUN;s3`CGe+qK8^mNqfDidtCi2jHZuBPV|OJ_lV5r_>;HRh+)eS1FP
zu=Xp;?{9SK<XHU`&}=epn044mSAPF@5d>bpKfW@1a_wSUM6%p9wTV|)IRp5#(`<ME
zhM4?4kr^&(ib?VZP&n52{~0LD0!7jxP_hQh9)|r+l`+bxSiB<ouPVL&2UOw=x5^0r
zzsd-6SLz>ls?D5X)-bq8A`F`#BXUA}34CMmdO*o}%AHg~{4=drrWU9{x8Gtl_!kB9
znNx#olPW}WLqw}GM1$5yWCY<URCHh=njNKhLtRvjl?sd}BSdq7zNmV<iTWNDc5`y1
z2J6E7M1LN_!Mea~cj%f9xNDr}%3n2rmNK>)Kx4pd&nyEVMV6ipH8|~o+$Q<r$yAi*
zwgbdhYGV1K>=oE$hNq0{Td`6+f7sjS3LE-+qKT}knVBoF&j5k6ENWT>@1~h!H7zm2
zi;BxBW<XR+DG8o$WSCKH)k=jK)$UnOvM0>=2Y?F~X2kdM3TzmdyaF5lV#AF5nB>Qo
z|6-$Bp_0GDKQTgMSF9)7Ye3#giXSdC%}mMULm2SH*MhoFY3k@Nm%7$|3c1#(x{C;w
zNen$5edj{GbqxG*9Q@z(Dy?pIAQ7zDTY$W`*6wt>PvzC>BDUG?(4q0-<4&6v(z7BD
zM)~@)BcL!U<5Tjj8|;zQTTS&K{fw_M;}&jBIMSwX>BS#(7mm7ayEiu1?2d`+o{R%k
zaJoJ_P~{#cR=0DXGE$qR6IeZ?CJ#k-OxB<)!G-m$I+7VjMgVq|m<qKDsh@f&A+zW^
zz$YeXVcA!%Q4G3%Q`br#dQ^Ye**DGdlg`i9%y1%)`q=n<dm64}*GaO`<!z{cu0iuh
zZ(q{7+Y)I7_?;Hu$$w%qPUQGd|2Rb?+5gg}ZRKek8}O0kj2R5tUZc@{FQO~%K;QeM
zN^Iwi_~oYP(a5S<5WMjIt6_E$0>SUYpi*q`dlTP*KbR&v@Whqyjj20~;P-KsNa2sX
z5*3Qc*$ji9BC4*<zUMiVgteGyN-@FnC>qR=N$ZE{nz=n&#mc-BjA62;&Z5b2sPTvI
z1kCn&Z!W(|8(>uZ5Ng)o%DTM0rEodQG3CMenqpoyq`p@+?BhJ_{((MA5N||(!_oFR
zz5_qQ$__jXi*Eu9n;jIz#aqIZ=grIqW+U+er)6i#O*3k3w>dRAJJV=)78nN1Ix6O}
z=j9L$pAdaHPpBVJ*+Cu-&uuxc=Q}8mMDDI`zo_Lw5VHshWtsc6#`o|vav(SY%CdNX
z10lS$3B3Gzfn0Wuk~sLwW~<MzgtDP{UJ6Qw;=jpLQXv#C2z2l?*n?GgM+B|voQBI^
zts~vn`4=|$zhs9TSdRZ2D#b3x>z-h%BS&fY*-&=i;Vpa<&~DicS5Y#23{RLbNs-HG
zqzrF_esex1zliZLln}9V*|D-BR!D=D?Xv6?E#{{<V!n%~p@MJ;(kcqqQwF&&&B^0x
z*}6hQ|F)&C&0-Rez9unH+y(r%@*Vi4Pj=vuK7139zO%(n9d25&tYWnr>gmg1eA|18
zUtVrA3&95NcO60;tx{fivyO^Qkr(GCAZ&`fnkUph0kVTU9H*AY){(*od3wqNSB0c1
z5Qhz&5AZ|cAa-<zUkmf%P(llTi6xZP!i6+gTDUOh@cTR^6?Cy6(81H-ro5q3To!W<
zeSVj$X7bPACmLvGU29eH)|KF2UX3P>$fJ`EA8}Axy0>7~`40?i!=oqQ^c0)rtvB$3
ztG#dLft4GiR@{)TmW^eyoIL`J4m{n_%35)xXD_<{<U;_5GUJnB>`HjtPOC7aYyjk!
z-RKZ*Yw>#WDd<`x34z;TvnL>c@wg8{ApqeBXe(z{84Q@NqAlsfLh==C)!3jWCqmV9
zHN5WcnQJbn$b&ES;?_pDv+&~NVQ3-Q4{C|v67ov&O>DIiCc=-haqo08lT;uBx?vpC
zt%D<kl*!~tP)?>HuE#$ijse?<>^l*)?QkwsSPU49o;SkH6lu}U>EeRgTu3g&o`#e2
zWrr#xWb>Mb+P!!_yx^XEDZtt2^xN>YS^AEK&z)W)A=5aQs*^$fQ~~)FWg$;?Vh!=>
zifjyzz?BpeWhhml^c%3!MzuPC01V{Q6<biP*6J7Ge?@F-c06fLh?}hGsdFtis^hwy
zs9NZRe|GeE&7?A0<Du?7LnJud4$TD;RPmLyW6*1ph{RgSXz4+@VXF<4=Z)q!T1)PA
zI%4HprLDe<2oD!Emx)r@s`o*|EOg{K*SO^pxpJ@t61hC(4)HOG#wzu`2L0%^lo?rW
zj9h5*;pEl=@Q^`dhH9UR@)@d^<(>4|rPMq1XMKz-+~Gq&@Db?Rjm=K8+vvlJF(h}J
z!f>)>!sqChmW=O}28@{NlR&@8#bJ(NCtb<Q#|RE@wkp0dd*ZWIGnbe5Qul8-jfKg^
zxss{eUnAneMNOGV-T;Mth7ws)t?yFVexrM1v%ir13zTKyA(_zF<YXcTO+Y3*<wi^L
zkDmRsY)z0PxBp^E`fvf{B_-){*KeH3(dD_%WGQ*-HgBG%>tCk82J5$)N|w4lVaj`z
zBi+qMJke(FFq^TQq6FzN&|F~Q!B+zlq*14_FxiG6olL}qi&hq-Q=nlM9ug#tO-_(<
z&;$g@Q|`1X43tSzrRpG3E+xexb#MXrB}M8S>CdgzcXjDAbzR}^?A5NwtTXjUN|4;i
zsGJ(dM$;Z)DLMMLMvGRSsc6n)IYJ4{IKkpwdGJ-dz-;j2pv<+<YkP3N<#ZXA6+^6U
zqalQgRu-!}p<xz85-W{hPONeO2E@u!?uan!Xv9*c5QvD|YO#on6#$tN5w=N{T7PrI
zS|(GdaRXK0Hb`U&_4QPAV5#*VD8+a(wf?WMQo(-DaAx>3(xkNeUuJXde-G3AnKG19
z8uO<jrddu1j<D2(@Ejr2nAJ{Rd0r|f<L;PjPfeA$j>zla5SRTxM(+8Ou*H@e2JTY@
zzE(z&5<4w7$qkdq%$*1}TAu~mt2-v?+FJ7!G;(Su+Y^0xe};Ky5k3}nTg$k4M-VN%
zw=3v}W;j}F)|_Fl0Je_h^CMU2y6HRjx@1{7oz87R=P!0D<P2mN2pt#EqO6o<RIaxw
zsRh<~YER_RdNO=TxPh?pFjR_7>e$S8;19XU4m@FHd}Em&+2{j`5SiHVB!N-mFKlD8
z&FRZ#a?=lN8WKzro4->t#7Ut7BXd#*m%acB{XBx*p~4@C6aa>Gt{G!HjG8sFCx@j4
z3rWg3osr`?ZHyKer#zPaQH%@9qEaLKd<T9$lO1^Y4BrI!Y@LCMgd@*ipfo|R+Whnq
zr%h)j%?Okcb7J^ObP~-!FA#8gMvHH((HfA4?;?7@spX8v4>?Z+XcZ5Zc+Z}L<=gqb
zBe0CRiwOPLA#oHVab%2TWDoL!1EUilKg|xC%?sdp9YPZ2@&X>_DXEYbAP98uG$t~y
zvx>`NUO;AVBpZ-uT)XYNh=d%G0`qX6N0OJFY0Hbl`3BLED?>?1{w0iqi(pHrlDDn}
zI{gS_*d_l9w){XdBWTs4<cRbLpH(W1DA+XO-9vIxC_21MGF4&D#Kqg&ok>`prly+R
zW@n-aw@&wOZ8kf#Qz;ZI4<0MGO0Nc=ZLf8ka7wvD@yu>>ZnoRkvC9FqrnP-?BJ#&@
za(pzKAQpI2(B5kh)BGJP2MqJK^dAS<S_WMei9G`=X`TZi8b~De8q4sm)qPA)-wTkN
zHTYgYhb~Ql9h}L<x3=MP0{vFISA!K#u&3h-bc}gvbU9BoBhp^&nrNI%msSmGWjQP8
z;E@sBr^1VXBOPB^W`v_n?Fg>l8jkaN(7+O>yRa5U@@35GMj}64)Ku7|;<(e$Fbg30
z1T}g&pI{EWfKSj<ZgV-d((I9ztOzR2?LAvYLb2bS1%Tt+$k^`=D$2)x&yt&yS{>JA
z5-RlsvK`tpa}98FpjdUAJ-CJlBx#C%YLA8^P?7tW*8*uKYlj(#<pCu`ucDE9o$L6@
z?8!BVZ6PvDmkp`-p{JLG<S(7(!h{<_@(v;|T+|ej<T+3{Hn961D9ZvwLZZ>h2}ur|
zfRK2~ZHi|TjbK`$5(tOeYq4<LUjTGYIM^nYWBthytx7*Gu7{C++$T`cfjQQH1<jd!
z9_BU#K|0odft3oDZ^N<vSi?e;dO)g5{UKzoNX7?TDVX>Jo>XEi<Z9m!YH$`jj#*9-
zj(NaSRPy?m&1HtCrs^cD6hBplB6F+;(2_pIc40J8RkfAuwpd@CTRfRG>1P#}Q<IM9
zm6~*3G06Cevd>j~g|8&<VNshhJ(-?+Se^qs%3TwK@5Mzd^Dr=RO$`0zUc@3|BO8S?
zx^nnur!t7>3KRLGY~%)ak8qtye-A`}wk;+CB>P`P5a>wXhC&^al0L|rROUVS10~@#
z6#_7xXq`sZ!AoH_;*_xRzTkByFVVHqckg`>96cS*r6H^J3laCyzir4~sR!?inDC*m
z47lWeY=$VvChqJ2mrcx0&(CyJq;G6uc4iK~HwWKJ$HN}m<S#YX=Q?+b$WcM*xMu9p
zzL_1Z83XY%NH)$)*Cf9KjV_hLi5C@ER_VU$y_#*w)$&3)F@>(OQ?JbYUcLS-ezr}r
zM6agOk8W(=0=_fFDcUbqrK)D1<fBO8aPr}34#LSnC)nOUIe(i?PTmhTFbn#h${?%E
zvM*qzjZ!QFS7sX)G~Mdwsu=sBo^f%#URHQG`F<G+$wc}N)QGf;aU_u@(&r*tl_rv!
zx>6>R5=ISd-b7M|)8x|ZyRGgqTa}Tt0so>;cF|u;V<cTJyx;@NlDROjdP%jS4=#Fb
z89~b;Or*=0X6vGLb)4M1Uk-do`o_50=5s0HEe)zH9R|(=V!S}Du<EB~d@`lBz?_9m
zDc&wPS=UYfa_=*!6go~)%<)mE3sAGfmlCz=#sypZ+nuSYav$4Mwq3*SGvxxwFBd|k
z*yNY1`40RMa@m0=Sd4E>7Bk0x1>K#9cPb!DOBT-Wq_fKlY$y_^>99A(+)XpN30X(c
z`3X}wWW$#w+{x4HM^<)_N5$t~xSQ``$z!~EG{W~9{4q}}hel?WlLOzMzreF3n4qy2
zIK7i4l+9l#q@i5?!pC?@D&#K+0v$XJHc=ZSys_?F=$$ijR9Vbl$QFm>93*-G`3v7>
z2XF4`BBfmjP_(4~OWg2P{(=vI4CmwoXl<#slf#Tzu^@Moa$0CxR+q>YZp)r5w`KF@
z$#t=a)y834KM5h=T4Q=z?aCnA0nhnP!3(&NZ&p3dZebl<gL-91)}ICZHk_=(e~g=i
z!;6F3!tKpg49(*jIb@i}8;;LzwE#;GoI^>|cy!%s;PSd_dd+TaqS2}K=9&}jsXY{O
zoSpB_&G*M(lReYu!v!DpIY>e2?-{9~0|&yCaBFh2+ipy^Z*PoGH%Dqy(~bV7(V<;b
zYAgJlg=)1%7h;*S^BuTszXtO@H9OyhZ>&tTXBxm8(~XH{Z-mlYrrSMHdZ-5f>$SjO
zh10H+qeHkMgWk5*u4>P;ryFo&54lHBGCtpjK<UivEzKS@+HZhc3BKyyha<ARetV)<
z>&;KJYK<N>*`0?Q0cNnf>Be}I7<0Ta-kxsv;S%f-;L6G7ZSYlq38*~Vp}1>j9{3l}
zclJi8g=T+Zbm%H$%wUNVMm5NIz%P7TfY7KqvwcBqd#c@>9NG>LZLRHW_WCFwx-N_c
zQhVT01MngoY3yXp12K*6o*`ioB{vx}m+lzgv?+^oplxQ7c$|>LW6DTklE7eLOL_!W
zI%>xdNb*Mb6IlAU3={-Q*F9`rxA;8Wv1rE3n9?^J=P$N>H3f@rD8v0Mf%}sdf%^);
z{qzv-hO1@Bfd}GV=A(?JrwE!ZD?<}H))XVG1cELhf>=eK+>Y#{XwTMLPohUMX>l5k
z_*5}sQ&Xld7=$WXoEkzE<YT^V10YTD-$2^RraKYS-6}KPj_9w337HfVk{5l01uq;B
zxWKxDXez_tw*&@z%3xr!JOXeF0T9LV0;@7Cj~xh>=WC4#nc70M7|7r9>sb~R%l^8$
z&t~`)VuoK{b%xi%1PE0536M%nEQEYfTdCpl`Pc{+k~6FfNUe4;>pUL}s24{A)?V8H
zD-kS2owH&*(EySU@^8wZry>IH#Y!91CI-!e<KeCz6-^fAfx)R)+n%=C=FRfE9bk_N
zQ@1wJYIJS{ixLb?k%@=i(;;+B)h(O&oU^xIapmO~Tz#(mSciQLi|f0SnW64u8-dS7
zBVeX=tb$tJWY<r_3rcofS$p`dduz@i6nty$i$Lw2AhOJgu*e#Ut^w@l_Ln^AglwYH
zqi*037FPrUg-3FwGP;PLzV8f>SDt4AH6AKiA)}zr-xJDw<1!fvnKd%#^KL3yEMKdy
zq}_v-F8$l)to_fnCz~f%=Bus4O7XIF5YCO*u)wy=j5&DTX!26eOPGhF%MeWSa3s{=
zyi%~cSNTaeumR6Q$)vP%$_!8Gx~*6#em+VkrCk|Kl<8P2lV|QpO3P_4N}}CKGsJQ!
zP5O@Fa%$2My;76Tihd#^uGvZ{qA+|VnUtpdY<e>D5!d7fAeT!@!}lU7?FIN3#arpG
zrHQxhrcd1Br^m-g1#f~B_UiWv$Q%Fk9R-&yqODPzvPDE;FZQ}i?dECJ=mhIbwQuyD
zG0uOwYd^Z)P>fY4wb>7~Hl&5?RWPCE${ZF0<!Q&fwpZv{>HGJ-FszNT{Hj+L#NOY1
zFS6X+$2N`+YD9byQa-4ip_%+SHsgec$)C-!f!L-S=hBV4Dzj7n#zV{#27z*Hm=Cc-
z2n2cG50$u;P;m{$a^6d24LTniW^Fm9jQmxitlEdEpY|+#rOFV#D9AESa)-Yw^gX@<
zfBaB(;E7Y?8&mp>ICbU2^ZT4*w;7gbb7f@$)Fne!|0Ce^j27QmqctE8AD%yqACDh$
zo`~qf^PBj-jhJN!%S9ia7b9_&dVlbl=QG%@#s;6av%_YC&xJIU3qD`RQ&J)LEC_V)
zG$t~yu!_rK@Y$!tvzp281Me?Y==Hb=TSA3ke<Rjw3OxRy)F!~!{AUBU>}qu3R@+7&
zK0*s&yk-q8OA$pgc99e-?lq^UbW(5WdU`ENo{MZdoIHo+UNd_@g@b<+tSOqEJLJ%-
z`tpWg(i&jLLh`;^^36vYYBFLM%HXVaxW9*$HcE>tkl&k}lymUa`BS%)+bNFR?uHM$
z!v)GCwF^3XuBY?22D{M#cFmIF-i2El)AP-qin^R>bS>>Q>DcobZ*Pf)z;x&Bfm&X7
z-kae?;OsiSvQ}{?ORVIv+YdR-h0PUos>rkHA0YC=Ma|W?jL#tX2sF$BL>>cyjy2Ha
zbq4?}VyCcdw_{m<waOUf6tL*75-g@9ME$g-<A+sx|6U1%lP^Kx*n`bKhO(6qPWK(r
zJ6inH9^}e%ZLSRShQUTL5HAPmRru21cE1~{^m_<Y;x<ht`<4RtaA>#^xXI5A_I1B{
zIa+0m5?j~?Y;vXw-&hJHa5UXh?u1AUs^=(;tpTgG+h1nAc>?+55qv{|kRYqc8yj9n
zMftVkGO@*l4^@D3Ti!rP>xO)ehmg=Wf!}daN04fBxK6?WCA4WWbckb}3mnvzS!yZu
zQ)5L->F(&cX8BBA-|#fzbO@&GTdO;4fUhhzU^U$e#6-!V_+b-1=QJ0k0A`51aM8+w
z*oB5!fM^{N=veDWx*R56jg$Vihxwu^!<4hY159_vDGS4Mk=)Cx^!)n+130&lPF_(0
zW8lD?9?CIbKo5D!omxR6^*p9kYJ+}q=_uAuR~Mk4(@$)Z>e7tYL})!3ghU%VG7j=m
zp&$=5tX@z^U{KYQ#~9DxlVgoGd<9O4$f_&FPmL~Vv41Ybt1<-n6|A%|`CT9ck^q5j
zE4-f`vU9e7>CD`8bEesWq{@rC-C6M+hb-iu{1}@MMxeL2rc#s~PJUX3P*`&`d24_n
zeh8I0GXkeqP6UoEY9g!-a86J~7uA&UDYfS-bs|u0<Mmd|6Q3gca+Qc`_|603dl8>H
z;yn0^;#2h3(!{5B^cuG`2X-28QFmq|C5wncJ<IDkqTx+JhVxvb-!jes!e&Dq0fdZf
z=y^;`$yP{&?!r~sC(gAeZkleM2sX>PHNBkF&FiuSy+T4(&<`yVB)F%-{Fz39y)^S-
zlu=!GZ@e8)AmfC7&RWDQ2ounVwj9MbCd+3Lmo=)q(zV$Gd(tk|!24offxywlP$~9w
z;M4dH{2>6@fhP`uZ%igLqAu(8=|E(535jDjfi01p*|U+Daay+7*L3)qmL(H=$vTQY
zGStoi8$KL(7f-JrSlK}ymF0k$W8}Y-@4)c8M*>29ECP%0(ZC0IQaLOfv&kQw;rX#d
zbmrYGp=@-fkcM*6nNRSPREW+90v$XJE-|As7eMczL9!Fk!_1nL({AgG!b-te&uq#5
zCOg!Cj{CZx&<JyeBg_BBci?9~*?~vL;hTVtBM~AiHA;lnoNu?ZXq{G0gjYcKIV0CE
zVLTcoB<y&0$gG4F(qKv08f7vm4$L0d>~{uFQ3Xj8gqD%C;<6YA&8)EGeB?pTAzW=5
zx;J*h$|^pyZV&!icJMK)YR-8e`-xsiuJmzXUN5P0xIPdv_>xTk%u)q|{r8BIbqV`H
zx<_2h3x(-UmTCfogAbx^xC-q3%<BjV>yz!?O*&Q@daWlixdSH=K8YGVmq_hideb+d
zEkDYAs~j*OT<K7Q8TFK|1@n;xn6^*%ltEVoLQ|}?QA%sh?;)Hp<pZH3YWGm9Uqx|H
z@?`IV9c2wJ7{!-(>H(30f5qx-pK8c<8*<p$1AEYKiXOD-k)4NH-q7ct!izxY6JJ@2
zs<VLFp4?Sp+)A~ppEmJ-<1`swUD2B(!=LXZ62nDJTe?*E^8?T@3lh1lH9|R;Y7U@)
zOVv~Eun=o#ywYG1&?|0>nYIlDZ(dsfBH}HBH?O9meDLOCWM%0Pu~`0Uyt%&Fqwl~%
z84TXY{M`Dn!eMeOxcraBQ{BgUkM~$ssgwolnMR0oz<&X;CX<HQgq>*>!TEO@yElS^
zugsp@<-CG8tiQl+GEBT74nt5WXCfMlvndYA=YZ(gSoHzWFbfiigGMMP4mp4V;@~NF
zI>R;(-*vxWoQLmvC9n?sMCO4XMx-^}%rxNRyWzy8qF97}O1#0(ktITGlPbRO%7|8_
zTN{_IBImUH+U1L>=)ev+T~&%vWrSfDRw`I&vuJ{}QKiH?hOv4H$Cb-aLSgF$)ZpX=
zMN0yV6qf>+pJ5p&P&QGiK!Gw<HGrN#!RKI-xq~eDUIYqW3Ih{?0{Uxd0tHXSX#HXX
z1$3fAE*Xpc#3s_Sh;YGm-f#g8QdxTx3xJDHpd%|fa0dkhAV`3lKMD}wmAt#;ho6Q0
z*UB#VwU4Yw5wIWHtKRFQr9iom@Epr)b*=QlNA)=t6D&G}lsmPuLd>lUt<Vn}p?B)B
z`n>dfXeGlbc?UM*gef+cnteIhncr@`Rb9TW5Qq3AJHmjE?qg6XHV*Mmd<T9Xo$SEl
zqr*3r{gjQlq>t_=PD|k>*|de2xI;M~-46&ur&GU=PM{H9C6sjHd7%$cvxbBBC|<4P
zIA@(vo?e0(Ydy0i<d6&P`G^|O0Z=KHe~#fh@bi!Cz{5ZICcr;K5Q+iQP<z_yu5AuT
z&>Y(coZ+<SAP}&r2gXOI2`oKB#W&Va4WD}W=+I85mNOhb-aHX7)y}3r;IzDf?>hp@
zMLR9UNE})7izUxwC0yrsvcqOw=Y=#_u5)1z`;BAa3*#xdY#I7s&1pEKH$R6r35@k-
z8r}ZQ^Rs<OGkP%^!{<O*&_{wm2T!AgyzVM4i!O8D>S}*?lkO3>j3o~j+J$Vvevk#j
zf+6mUx^`#Le)Km19o*JKLa6-cK4daXlRt(9;*s^ElU)TYLElE$`%Fgi`M(-aLtR?v
z^FRD4V8v%Xf0<%zc>Ti#H1{R{h@3Z^d^VZ^5nc5A@1^K|S`PFP@%MkH464fC|F2kS
zqcr3P=I<X>M!e<xbe*~=Ka{I3Y_*CW|K-~R2P^-9v#uK|+4SE1J&fDy@&8|V5%Boq
zE6eV17XJz^&cmaL$E8Pl{2v3AIK63_^`$)ikA;R=kjTZU5z4tZa{vWgoSt$=gqcID
zkCZ6{TE%TOTN^@N|No)64l@j5E?t)YO+|UH|5J<|My;-s$3)~u9Qrf;uvj_^0E|Ff
zV5$M%-jr?;pG;WW73KUlI(71`o*K<u?4&E_|K-GXUgtl)ikFNmk4=std!Xl<thOnq
zS$?LZbW9ML;i9H=B%7gdYyhAIWm%v|Is{6VDqxQTKD){o<y0(Q|GczH?{`C`Sp8E9
z;g?lLm^-odr&Y!%5r*BT5l11W#5WeN2b7$r+({+GUrRz-rWU9{x8Gtlcv-=G=F}kD
zq>9}9XM}Q<fdw=|A_EH#3q4$TGDKfTCsmC8t#PHv{Dw1`VYPuE$jHstuu_4|WJGQ*
zP<yr7coX$KD(vRuNDbD7`3bmzyE&-~%yx%-UUlWJ8bC{W_~`%|18)1bG5}J*>BkY=
zCiwz^9xz{&ye{v+i)>+!;*a%MDV{&<-81p4qu621wF~K4BqlySn#ihapVNKuDtHW#
z#4QmZO~edG6_-=dM?|$0Gw@nUMjzD<P3<1|O7a>#wQ1Iq?1?^Z2HxeOkN93hAFqRf
ziRdH!wKUPkYv$+RmanGz8s=i-kRoXXB9M!^K+mRW5wXZW@oCLbyLq}mPkiNbtlI<?
z4Bz&|Plk-)?Pv5&(2MX>A$Qc~CP(qF?Re#g_=&en<Hs6$4LtHU)@$G1+=|~5k*4}c
zZKmBB18okks04hqB6}M?0JXnOpwja0V_Vp725vFU4_hPgk-HgP_fh`AG%LdCqU6LI
zZ^ilhHO#Bnpcw%vI=i<RLS&0s;IHtOz8C2U^@VW*LC)WXO0hwz-{(8<2Tf!Lp2!Wp
zF`3smY_%1qv6^5?-13X&(FJWf`{h4#sIx_@f?vF_|7chF8^oM>AjLNpq*1}J4?4A+
zq59{QC&C*H+s{;{4&499(_lF6OtXcFFWQ|A2wPiH!r{dq@S_<RqH6(Bu^u^a{)#7{
zJe)>PC9!mjD1VeuXbGpNL8Tc$y9>q!6Om<!92QuLb1D>aWA&O%FTs|!p4qGGF&Ep?
z<j948BpacU%_iZKU0e7L{A?mS@JK(tv7|p+JeGqAB1W87jP%YP`Nd94&d804iIhg_
zBbsq8APk*OS-1meln76cvqNUX)BKD84dueqeV&pE;b}o&Md><{vuAT6cA#5Y$yxq|
z&2qoXjyhnyyqFlJWvp^xVS5GNfnV5U2OjpqH-izjhn$uizF%r#`*Xt3>C`W5JQ^j0
z?H|}7v%*$LLpfplI!{RjVG{(F5w_y8m<y8a*OKSp>OO$ulmE*OKE}pfbSBa-eB5WS
zyp#6f10jPiX#p@xmG<GkOV`<tqAP0>JV9cHD5)ZmrWl9^e~|L{Ysf1@-}{*p>CgBz
zAo0;scyLP_JjME4Wn^isWRv5!1JevA$KgM}K_4RJy#q7@H92H3%g$HdWJ+J={cxo)
z5Nqhv5#RWn#pDH=65Kx4@N(ACp$jG_;ftN{QOxOS_!Ma$j&aTR@*gi9f~BxMGe1-7
z%+HL&YdGB4neA+*FM3MXkkN;p*he2>84o={@X)Dcc_?{2);Ma%a$vx0HXeavuiMK|
zszN&3u#%Qxu;#7nzQD^4sr2QKy*7z~>eqCDadsE@B1Yiy#?EA;m-!w?hU62m-IKQl
zBTK?r*>QdT8qRP4anALQg`T5EG)ktk|0t;C&6>F$UVyCmu6D#%ruK1@6|GQtx{|<B
z7Nq>8xsk#hw>S+tc8sx-V9ZWt1@wr(a8YwpQz~cXHfWfIh_V6%KGsm#tblu}j8RU4
zv)!{gO$%L8GG1C(&YqK3RiXF(5_6K=4TWPfH6DPnmF9%MR`^|21{pIc2fCuK_&@)`
zhW%qzDEcr|;$m~AD3pTz<BNb@d}$gL$jFf6*!p^vLB_zo-qNoMbLXiI_)n|Q@}s2!
z{AX1GXK#33dx@>E!%EZ8uM%(AHM{vT_{P%zfqWTHxkG6EbXGe(A*uH@m>X_O*=`|}
z2>6VG8Nz|eM8Ky}Q9cpyJj3Z&tAihouDi%=!n`Rcu53oL5{K+t(JiN?RMOTnjSDT3
zPmG>KR#B?lzf+;P!1|7_todcvpUf)>XO7TAX_LLfX)KEOo=n7ri&j=>mqWuWJhZlJ
zY;vrhgC@ZGo^mIZ;1&&GTBa5Vira6oplm6Cx}>07;<^qqX(_dn@(E1d`zWO*|3U*u
zqVxP{9%Ok#iOzEfGOuZjuLdSMf9Nz8mIp&^-$%rSi&hq$KZ1r?ct~_KHaXGBK@$)i
zPr1$ISVvEOTCyStklTB)0Nqglcus)WCRMKG)e-BL%&EhjZe$wO`C_RXRIcUMN-?O+
zwfr(xD%hACE*|b6V0KH!kIPU(d1^n1m^KM8Qd|mPeuib9nsT9(%2QK*NDZJTPmT6f
z%yruMUS6mDWcW*5r;UHHd20NaWE$N!PF3nJ`A_^4-P?A>dh&+TVcWNouD$SG_KmLv
zbth=*=r5PL)_w}P)~Ip_3b#({=sOqctz+OW*yG^;hW8*{4R^a^;@1MWS6aK%i#!Rt
zb#Wm_yF+%Hbm4YK)gL|e*Vy=cdm2*CAY<-HXyK^>>OJJ5$w#W>XudZ)K@LV__;g!0
z*rTeqn(9IN>3ma0GMpyGa!}z9az&}Ex8B%XvpXhy-^MlIV8UhBfV-=?N`pIPM1JfZ
z665r-7#@c1nD``ok23Q_CDl>>OSh}UG^j0{`l(ert?TCjhnSFsS3Q+_fVYC2rE8^c
zc~svDlAmOGEy%MqBb>-%u31mv7+u~5dZ&iWmz7p;y`*(_(-brX_nj8p$>rD#CHrNc
z<2~3nN^#AJ@0Cs0GYjatzx7HlUH63OdW}Z*y@;&H{oDKGNm$QDcFm^f(a5S<)=8n`
zxyw#MAn4zLO0gL>ckvzggZ{DuPtYIVm|DX~Sv<}XC;XxF7x4$FPa#UqmKZhzQFU$h
z{e6d$u>LZwb|zmgiUu=-r}e{h&D@@?Vm00grYafn|A!{Wp~jz0AYiuFc%LS~3ttjy
z*5Jyzbej||L^-BBIA2rD%ZAkV%7*>jJna5~zC#cnm8J4gz5_qQ$__jXi*Eu9n|;s#
zmu(4Co;O3sF~91x>`b|7I>p@^k#$teWnao68vc^OPk2K8h{_J~aCqEQzv4S6k3=q6
z&M#_t5W=4@IOtNF51iTJKyU<<W$^$9mdFg+#1hJ82Jun=G?dE>I*X^ILS~R4(81GS
z4`upz72Xj+dpf7#@;<FdXV=y2kORx{E~pf{9FOxI_}Nf);NdNN6VPs%YdK1WZ*y95
z<inVx$mKLrhWiAb)0<z!co<5E*nR9+SrIFw!4k1$r>KP${<7E6*Yh+~5H3MlMd5mi
z++Pl4N1Btz)v|SkhW>41@_rVRfb_kW7$_<O_P&$$f!nI!f5|`aJ^95@_T&*md=n7E
zv&Ck;F-;jSdN-v0(2fr84qpP97vRiPuo3*GLx>|+<)t|5sMsd?dTu7dHp$O<Lj4mU
zJIKRvs<riq!qySTm6zEwxM<+2kW>ZYu*GvYKO_!fM~V2=F)t1!)bS}Sp{zPCq`^|h
zoI9L+Vi)q1R8Y!-KnG7l4D%LGaaqiT&irthV<@YcJP|DNfu;esRwZv;35xSsxbKiD
zzQQ9#38rVt9RSQapW?d>vsJ<GDR#|UZ{P)2yWq?m*Bhi(+>ox8jb*Z&JpznwbY?S4
zwM)-lbpQWfci#doSy7z}^PV$rh=ar7Kr;v&^voFqqBsKsqbToTGBAh&HhsGHneIJ(
zy4!xtFkV1V2?|@p(D=F#z3^d7Vsh21A^1hV5V=Y2HA;NqjfjEhmoFx$G0{Bl<*v2r
zv8!rV)qb2F!ik^kIlb%s*IKJqt+jSl_&C5J3|?Uun_`ByGYbqU9srSH-{`n5j3&b;
zplKGB2lj_87H<H$&AtSg0E7<I<qdCI)(vKB?dmXm3Tst%s^KkAG+GYH{X?B#DBKRV
zsI!BWZfp3S@L8xKtU@Uk6p6GF{s3z&gb6dKOe{n@Gw}qHpXtF-tvfhAytVco$j2|l
zso|e={Gj5*JN^w20?*boJTIju&q*OCi;S91%O(|t@Wa^3c=$oynD7MYRA%Yvf}IH~
ztfyVv>h&wFegn>dpa}M)ExkmnB@xb1A_n^t4D65R1v`8gOR#|Pxc@Ie!1(9$^i%|l
zKZ1oO_);{oa}&3sC@oE1fKTSqYR`m0mBo+ITO$|_MR4BG?{8%uuNuIiOF5LcuU<x6
z^);x@5gLX`+AhIRWcASG4T)ik-IFCn(i^QGKQbEfa<&Kw|7+^FJFB`h<O&J@JE+(T
z9huD~Zi(2J1Z<Aj7fZgQZA2omimb^X8O@qv#maPwGZ{V}el-O=BoH1k`DM!LkC?n9
zX`zop!FI`yX_UZ8`1}SASt;!cT0ytchjn6%?}C`Jq#q_~v+{H8#g-%iBjP&gQk{z3
z6yu$A!7nF3bq;>Pr0o0>+q<lxlxG{2xx0;X#XpnyW$K(etI8AM^DwbC<%qPW`rlCA
zex<uF=nunfP_Y*t;t7dOf+rHtIC#R6Z#pOa$k~tbmIO{R+fV1D<5D2c$w`-+M&p=|
zE>C=%Citlvymdf#lHtdP5QQvwscU1V!nWp4W{UJuieRKB0cQ=Y#H5ii((OiNZthSR
z=^fNLch<s;bO%)Ig@+hPVv}H`1T+ptvgA9n2m!_1RH!(xl-ZMXmTIJcpOdA|<;L97
z<ZgaN5i@c2N>{|%nRvxHi0@y5E>orr9Zi~p`648LOSEX^`9fyO^HPLhm`4c~E5l$?
zc81w#$3duTu4H|1UpJa`^NPY&PtXwDSqrn(H=$xLh{RSB!30|+0CcdGCEq4D=}5#P
zPbOdyv(|JL`Mne%6D;DbQp6$uX$Gy3hsojwD#ch3u46ll&oTvaRB^~Jy-cTdH#H#$
zJP!FKSSV$`r<gEo!DvF^Om4elYglA0I3Avsr_U6zd<vBCnZa;ud@68kxu(KT3p`?3
z?BRvArEuKs#kI!lY>opfllaCL=IyA#)|zh=JYl+);M-~Jg&u($CWhz<!YwDeMO99=
zLEq|%b2+zJP6bwiXKRgWpWo!9-kyiAnWk2cLnW864l^4q`ys^%tuAFRP5DofyjGTt
zKD)r8V);ZGr%3LY-!yRa;{(c0Os$U>i9;vXXhp<gYP{8_@PM2KTcoYSf7~T@&*VQ2
z-{o(>?o#6oSlq^#qNy42=&gbeiPx|hf%;<0s^jtzqaC-1R}}_NsHCk))p<!y03|q5
zx{aQM)%gPixX}l@i;+R+manS!tVPu-0g~ffPlY(-gq%oFn^ZYdR8T*X_E9{_dX_2r
z@yq@O>=ecuuuvGLI4EqDf(nNtNn0Q&L6+*&^o&ubF_VgOGb1&zMl#dS_ZXa((PD}=
zS_N|VQI-E}lrqL+huq%@Flbq@q#FlyEXOX_du+6w0n1G1PocHi#g1$w29J3O*@8Ty
z!0<E(uMs}c=*V-0(1ySCVV~+9w%6nDr}f-1j<50eq=3htb<n_5naHHfO3#ZP|5(Qe
z=a6D8r=Lm1$3}e?PQJ!Fc+~@VcsThgXy2!lbEw3PcQyoK?82)7m666g(5gjY5799W
zb#(~)20HGHO$qsZui^3}H5TIBH#Ax`cCr>I(?K_ARRcK5sDCgBTBS2e+^Wzk!9hr+
zZU9$fv?y~oz?&GQS8|@UNX86rL24KeZ^}#*ICi{^ZlS8YG+T%GaACGq!TwrEFW3^0
zFEMqOJ+`}oC*$|w{Cpwq)K?N-+GD&w54K{jeK!`G;7mU<-|8Msy{3!ljO$nEln%Z*
zEX@L`V)Ox>$q`d4o(2c+8od%+UCy)!-PL61>s-4s-s&KIGBZf3h3X)bio;HDJI@`m
zpMV61g9(!~eZg3?b%(4?>CIxqpqYQnXv)3NW7oO+>5J5LcUDy@=W@w@2`cu2N9H|=
zT*ADU0M23Fv*eq~MNyJ6qI~5*j+t%8D}~F6`)~@}I5XUd`ygfYJ8@$>IWE1#O?*d!
zC)QQ#mDauh<a!S-xdZl@HCW5WOc^&R{|cQ`$=XdoUK$V#^a~oR)lQB{YD=cxp)(NE
z^Eu1db{6Y)>D9SAt}w}JDCAQjR3-_(4IR$vqul@%djTRQk?16tBms_tNi6wZk%v%X
z9?4Y<Sj22OokjkEXu&@(8jE<V6n65DW~h}LXK^viXq>%^vWBTExV#IEQ>Oeafh7sP
zHy3eoJNX_gl(Kd!cJgD<NXZpJE)lr6l*)xKi|laZ%LNlZn`bO!Kd(XwAD1CR@+rbG
zk9dl5UQ_n2Ji`-e)@@iQ`&22y%+MM@Qrd*uhckDosKnyUrpv7RXokF8Oq2d=>G{N@
zBYL?e-7grp(?lre!fE0!#LrO?`!6|}mUC3T4YI*^9T}#xgH-+u2F8wgp})+7RG8Ca
zg4vr3`*bc7N)a7I!hhs*$e@QEjwI<Hf-_Zi7I*9Lw&&s5Io7gOmbK!Zs=i-rvcTlW
zJ6#fcC*_TlW+Z-p2=kz-8gA+p1{OT7<QZ8idSszFW+Z6Fp&!d-0&`}`-#TFbD2Hxy
zhWPziF>K*KU^Uc(c-qFBjb8uSc%EO^ZtmuxAo6phiESlcF1@ddu9)BC#=VRsMEDf+
z{BYTWd_)dQA)161GQp8$<Y`VosdlV0_Qb}iUcU`DxQcL}9v$D0HiLbQ17OtRl*^-l
zV4*BhRFY13Jd(|LcwA=c!Kp!u)dH3UG&P&}h^<Dek!ifI%!8{?qo%RY1ZPNxwMx-=
zvxpLJ9!U+6Hye=2Yx4|;^q=#fL`J0-hn-RXc}0d=x&9;OIhXz;_*TwBQvVSjkMY&l
zc9dKbddW1PIsEI7$KXMK9UcwnQfAd2QC!RU#T6jd52yYU{oX=TBgBAc4fjOkTokY8
zVlkiQlfwQHN6@K91b|^n9z$2!vV%PB%yOlK-oO`z=&=wgp7<#_m-M?kfXdwZonKvf
zr!2d`rzbu^?c_|DGf3kwn;fMkm6N;H>WztsGGFTx_UjUKn||pCw)qGY0%N@5mv>)R
z_DO#OcE3Dtz~Z9D6qUf#@w1RqJfi^#niFtxTOS{WphNLTM%C`UiMqA-#Mi_PWsZvY
zVggzB;S1mL_t%arZy<?^&Dil*{uUH>ct%86BlAE*ZcL86-Uvqcg}<*pG~(R``4sF?
z6Mm8e6)tPk#M<3D1?yzyjhaa9L%wqoO8%Y{h?-y>H1Jf&L~QEuWT+1isq3RxgB3(x
zjGBm-hVVX|=Mh9roaY_9+L6OU+uNaipH^x_P1q2KaSm?=R1ViJd6QG6kZ}`iQfO0i
zE9XP&epA^ptmoU!3OLWSNQh*D6w_gVlQte!GtV90Du!<-s-X_vzzh4pM>{yTLyGZ$
z9xh2Q1|9{*B-6t^$4$Qtnq*q|f5E><3#Y#vS~%}6X#9n3k#B0YE4A`$w>?+J)o^|q
zIs0lG!XxVK8W<)oDz2C7y>ja3+z{*0bKhhkO1*M2!cLW{?bd8#pDlV6e7QR;k?CA-
zi0x#nY4~jP(!!~~loU!z@GvuZ3K@q+&U<93=!*+&ccLTDk7$mg_Sc%}%;agl)=_*&
z;$hQF{ac9`%kV+0hIUP{T24o9_(+4(K&+B0CjiIM-O5XJ7QsgthEDRRcL)yU`g2go
zCz}M#;2QdA%Bw_6AL}M}KBl<)%UE7|4@NxkQ=f&e6&b=;Shq6m55Dhjz^=FP1}ysn
zOmXZF3WrMn+^Ey7vm72(;qMuomeFF0Hd+O8cc}F0U(rh$<FP~T??mQM>Er!vE4rc!
z%Xx=Nvytd)xPuq{be2Qu-|ii@SLsjfLq4Vda(_<>DE+L12A;}9CIwb{UR3&RLOlHR
z$~d~y`ppc5e<ZiJwy-~4(lx!n6xa~hn#{cQtwV1ztO6pa+J;q(a(EZWiNm!$I5AZd
z6WfIU1bPkaAl}QRu62tusqAsKLR2xF=u+v!jVm()IG_sk@lx1p!_6w7l;h3I-9vET
z3j`AOg66CY2G3niQgV1NQt^2B{>;QIoM{VR=cKv0n-3i3=I{rCe>@M$!nO7g7MkFC
zsl&CF|5oPLqWW2yM6$ZJ2jte;H&xo%I>hf+j){#zy(K}iuM!SanuDNcJ<}mo#eFO@
z1ZqIjT~Nvz=KTdoaD;hdlBVkzLOy4d>bH&R3?)cezt9-KL%F{}-E(JEb(UPA+~0wU
zy#P^^DnmybsQ1F<pA;D*p8_ws%NU8ttpool#Sm?SpD)t-zvn<W{9DMJH4ga5Jp~c=
zU!QyoRI5^@n>G|O$^!9X;9h|*{jGyLS)|>Qp^#6hP{}tJxGygXuJ_K~^NWm;V+)%l
z^UhvOQKt&_yh}^Z-g<Az*tJ{oouVw)J_#!4D9Ty_)@rl8SZ{NE;_&$tCP7l;@!OA3
zR{tjsmoP&B9MK5t1V4#^K6K#k@$?_G;NX`-BKD`$!4IY&G6*%A7#(J0&_5m$h6Ns&
zEq+R@NLb8eo@=j|6kj_uh|*z(7nLTB>BS_C47`$V31TAnkp0j*{tlzMOakET)IE3B
z!i@MXsMre-ts@K_Z5@dg!^Dem(%<?pKT>3vd=~rw)A!Wka}vwP)xTY&<xh+Z;Dos$
z{GA*a0|h4JP=Wv*a>$bJi~<}f=P@c$8swANk97Gon}U8qK6$GY-<NzggVf_6FQAT{
zF^=nFOhAt6`;x!UMXmh%k{@HClr4d>tvpFY_LR)EsMGEYns5?wO>QMK<&8-sQ+A+<
zMOW%V)Gf+jt|<!d`3y9{XAj{R@$BXN^rVz$cw%EWfrYZqqRl*1*m(8JnLAu`X|WpH
z(wCZ7LdSe6ry!5%^nBtY6~s9gdHAIZ57HEdgIqzH!V)B>JsG6Q^k|QB7&kG@Ib4T<
zG3PM-<!}yj-{`dX`~uV`bf;y#@b}_g<v=h$cd&E>&*R`R?8Q9Xzt>rejx?~@Ml<MC
z`gJ9|5jLkHx)JaFJrI=H0Jh;F{BYvfshvi3e=|6h{J~NinN&g_m$2S4uO<5-MJ8#l
zx53P*I;AcS{l3bZW!Z&y1Ovmx@UCv3#~iTzgW}LU-d`EdA3HTyi2OpAjbG?f_8|$o
z&AsgK2MwW6*1*S)`x~%(*?0pMS0ARRB&GyD#y4OhsdGpSr5hB{I2=(&;t!0Pb>c1H
z_=p?I?C$ve1hDS7$0z*#wFAo=NTRYBFf(?D-}5)1m<H9w)Ds9wZOj7;chuug{ay88
zVXTVws7F6N=5T<nxJoBqoyfcn(9}NUbATS}?@0j%DC?ksr$QyF1N0t7=y7DpxMxL5
zNVio=W+C9TcRFXE=^d&=#%+Z{S!LW#e*<>%;|*A39HuyA9I=o?J+`p$8;zQDaw{Oy
z^0DxhgrU)>ox}WS<lwNrcgS82OYMWkVJn2fBq%U`p_AXQ`g>G>(^yCIa9Vm^3^j;#
zu<(5-Q7!SsQZY17M}d`<-AJbo{$cOnvru5d^2FQ8ypa4i8x<zyl87O&fe^zN-Uz@P
zt{4K_!EB^k;`R`}!sW9<9^SX{B`?+czVS-X^<#rIIN58B-hOEraV5)X48M$1I3E75
z%rnV0vkUMjHNu+TUiQa)xG#tY{pmc|3Pa0xv5=$*SggX66KB5V_n=RSodcbs2EGn*
zf$WC8WC;#&!9+ap36X+-*~+Z@IpUoLw`RvLBu&w7@n13zTD7k{4yCL<^PfY4!)K03
z+Jb86zq$)x*_9MHAjG=(sds+uUcE|VkyFGAaD(uhuYy88E0C&3=klAchl;%*k-tMC
zl(5Ao0CL#kE%}adk%q)8a%KUkV%8W-T9?=FXEe`#yt&u!CzRFi_1lG{%uOL0$zKH@
z`qzRUU7Z7Y(Cf#8-zVn=y*`|6S=!7@CYwv(8QhHVOq)-$afGIta;DJUNvMb~F3e0?
z-YFM8z}FGcS$%+*G-AHE&ZyEqPduLFP1HqqR+TTplOS`}Xot5zUN1<*7ZRZaUnBr>
z@P#Gcjtunk?5+1R3VQa|2atx~H&PM&Qk?eDt1{GNrNr^j>{mK>ou4ulD9tqP@>VH)
zR)3d)XSvq{SGA00?e8%59+l7PK^VHq4Q_fw5V+6kqgW_q5mtOwzDt|AUJF9;f8^;2
zxs^VZVcIyr*yCIP`)8Q@4TQRs%WoibSP7uTZ*UTH*LS!TrZd06_wX<JsEqzPJbr^K
zFal(Legoq(vUzw9urKrQ9$XEIj&V%xG!0LvfaDsOqM#SeS#VPcw}I*{CF+&dYzb5j
z#?n6$;|rkvQeOdo0W+D66NOC)za0CSEEWCki~7qk6)XZg@uk=jHnZH*LO*nbmR{{c
z$nR;1aSE4UHHP0}ORm}HlN}rK)@a3faskK0xOapOqunu3D67%#G=BqjqaAO+Vzk2)
zm1Y&kL{6jKc}7j{bx75VMrL>4P8b@E+KqM$4fpyWxD&t8JDRFhU0O)iZn2V}oK;GG
zN(7Zwd#7{Aj2}h&fZoD7seC@>KGCD&Z@^AJya5aSV2Xo&#=tkj;}JP3#{LzMuo!=T
z)u_>!Qe}&JSm@{-3`@&UF-04yg17r~y$6g^#&GO-`#S-mB8jBUiuvFDZD)XT-d0RD
z5`)*gRBS<>kzeLBI{wT%Y_BcdPv~H)(roEIwV3wAPy2gPz=qB`XyB<#WKwpe=S3U3
zZFSW@*ITWw|4fo4sZh_Pi?;vk1tW`1UBAFN(i_WcSpOI3htHhFAryvn8!|Db;d7wA
zy^w}=(yGu@jmKLqJcW^*06*a>Z>kgErI*2C8#@7bxVqv7aA%OT7ryL`Ah*ZE&G^r8
z^~GYVX9!}2hY(#np>lzudjcQm3*rKJbskiO_2DcmG{M#Qk$prrEmU~T9%|Zok$>pB
z2d0x0bOP+jJZ#mDcN~<mIstY;g2M@bNh;ZzOMd|;z&@i&FDD2mK#jWS&Z;V7xtstE
zsMre<89OCH31ephAcwKjl5dlnIHdT9JefeMn6<_$gUb<cX$p{vsq!Mq>URWOrtB|D
zlkyNf<_uyVkgA4Q%pLm#rodG&TY<|@xKYH$6WV4)xB-+#jqt0FL7!E6byJLY(uEt~
zeuBX22EZh>B|m4xVQs>{C$KUG@HwMe_W*FFxGUf@)J=C*l{><lAahn%z$1{?3lwn&
zLrD__-cL)vQe=#LDh#DhYcvvGM~<=hDY=QX;_nq{{V$-9PirfT@b?QN{7>tE0GY8X
zaiHPPi;R&Y3_BpjkwTDRibm@WA!o_=@*M0h=PAll3dEq<Zn_x!aLRlp#GtoI;jwvr
zhFZBp0hN%94uw}z){&j*efl-}WV*!$g1|jCTd+`y&ZKy3cFM1eW&)J=D6oUtl;y-U
z@ZgQ@ZGo-Eu&J{x-o|JIHN|8#g35r}cIE+)98Ei*gim@P(3~z1=n>OJ&hMAXd4?zG
z<2o#qoj&xvGf6Q+u)~_GXOgo>5~-iLlSL)7(R}(U*rA#8auX55TzWo142WtjV(?2T
z?sXJ9G_e)+7ve`*icPbeWQ*7FCJ<CUuOp^2uj6mPz?j#O{yIEf$14XNIM^g8^Uu!b
z=YN#nEzRQqOT9ny@IgLk@j>d9(*c%na3vh<Qtk#Ie7n8rnMyAx<C|%;rCoq$zT8ym
z)TZ&TH{cDX?B|t1w-NO4Yp1zRGbr~OZwt2JIYV4YpDN8YT4j*ekVH9pYO4D?sI__r
zg?u+(>ummqKqso=p>vntWA_KLZ1npJ$FpgoWcV2m;{5#w%q!cPDUK+*UtvBS;Wfri
z&eY?Ao|F@s<EyK0K%uP8%^&(3usch50~Wslrl`cLI5)T9G!|n_j$3lMJRzk{W25<R
zM(=diDqs&!Z9lV#{GZsISs=v}4bn_bu%q6jmokQGpI3h;tWL1isxUR+ewn`yiv3qr
zSUmn|y|EEtt8<Fmt+?Gknvo&85)ftUkpbuB{to1aQ)wwDmWKLd_bxIiVPsW$sXES{
zVB{Z1haBTriW4Ff;$!8SO^N93SKsNYYsU|weI!jNq?3u;+kcC{0Xv!S1}xl<DH`|3
zi^pP6P}qo*f|1hnkq?cU42hsjOh#^`HZl{=J%pjrs26Sr8sKEfdUeF7y+ii8rTsIK
z+b#Vie@_ayrCA3Ha@TP_eKx^j>&@JP&yoo`$vx#AwIej^J47hiF3b6mzX3b5@dhm9
zg(;(9wj<uG*JRNB;byjfCk%~7?aby!BL}lhc!%s|w$wi4ivii{?@0k>V;#)HZ0UJ1
z1|;6Eg<nNAZv@{_?(z;ki;g?*2&7A(3qI4I5$<6FA%-t}1b{hQ;U2cLn2p^i*eU6Y
zN;W?fOz|k!$bmUNvot<l8;o?|no!R(K6x)$V@iGaLWo;r=xR{hwcv{b4X_Z)4=gk0
zmLfLn<5Z7_-OMwNW5F<sg=`z38EEq%gHm?BIM*k-XKyd)ma3Ijsn-drjoCwlJ5vQq
zXwt#&5ydp%l+ZNbkzmtfJ8QKDoiE*N9-5+Z150INun;!p26Ls>U~UH5g6|w#?bepo
zpxNZ6qn^@+oY)s%$6^|KC!?X;^3qUvE0#F^(#1f4@oc;RXGq_dr>DYH|7%!ig3H*E
zg}($uK$Cl0a4`9`DVB&SH~_R&tMp>a<J1^`!!~>T<Y|-)K&J4`Ag5ILZUd!?9yOC{
zH~Lg&lvE@C9F(#~%X|_NfY)rtgJP1VGZ~u^-CMnsz!Lf+|0SuB+#LVYsL;@26x9h`
zNIV+gkEnz0tm>8~SFFsRK*e5&C>ns_qYc#?4e)f4G4e_9;+txa;@<PreEOXHxJZBh
zHpiTVe*u}ZMriyL@)nvC|IyUTuGJ~oO-%~nWto)qChH6OPbTQFA5)}9zXXMR+Ly`-
zxnSP}6&HnlObmI^)R<w`+FE3gSzuqI$yd<<<E;+(`9=D2?%@LbwM7B<o)Ugdkuh?-
zVb5&F$zX~m{~d8MmV8Ik`f03oazY|&GN>D7P4QmA6#)2~DUt~JnSZPNamwls06b4I
zFP0|33P&ej#5y5MR#icE?6=T4i4=_$T{Bs7A+5cWxX>bbd*(^>a;%8?yNyWLy1rwQ
zHoxBWC$>q#mquux)Vuu=qq0mQ_Jh<pch<rJ?S81(3lFXB5}O3+C!leVz9rwwb5M(f
zFv?R37{zQiol$N{fjTFnTxc2&V{XZ{ld>^P()P%?CYc}sB-Z(QW*YR;hG3nq5@c4^
z!K9I~&R-jqx%olSPJTe0b7w8gI)4Kdd*LD0k=P_yCjpIvbu9U|<Rcw9`BBb-z(8i}
z=?wJc6u=V<<gHS~SU!|t{o=87xYNxTKJ`Af)Q##?j4jvc)b6G_1cAp`z8njsY|IrC
zkMHxp_*9G?d3r+eY1^TMPiMv+bAYkOxd8UhFpp0YCX`(9X~GUE0kp)Y(Z0%anl`5M
z)3jk={4{O+%Nw8O9}^FsJNqI*5aH$cCmOf)f|KF%m%z4fDIIh%3{>NE`1lxf0+U(q
z2C{ebm)X1eYJptg8=$xC?zZuJrfzAH9lX(iTj#(W!|gELY4Jx-{8gSAG@1}*23I_9
z&6aaow4n#WLGP8%<m#SlobM79@L;zKpo1c8tyk^@-7+&@tMO^>=(W?QO6?AsJt3Y=
zRLs87=*h@8G3s*vPzQqI@C);E=~NGXf|YW7$1;YS*lCHMQUcTRdpAs^I$F1w5b*(c
zWXGMdRP^wRI<QT^$WQ9HMOvp%%}5~vz0CP_cps2J*#gEU>vz`g()dh(e6t2}ct2J{
zad`2q)GOk#u}?7K7kVFlJEafz*B`L<;eD<?#5YmjhA3_;{Rfgg(?yl2z_GYXJS`5<
zNVU^G=7q}PA^!pt${LRHguem1hnzQH@sMMR%DqZ_-x8b@M!m)s5tL(=sFTSLjk?^D
zKvh#c;bE*1H6o?{T(qKdXd7E!cEKu6YUwkCpV6G%JI;{MS1om!66}Kqmpn?<DwJ_N
zHv~B3a)MfpO6F&HZj5Y6I+`o4*Jmcv@RmTKtdz9T-+-Nxcmozn!W0K3#YTiAAz6$H
zQ$|h3$Q6e{MmnN4(#dF&z%yF2laU{W96=Trd&lYxvPkViz95Th{XHoVWWhREkk>Yu
zrUsz_ot|K`q=6u#<)H5!vO`#Rh)S}BGrhy#fStv70~Qv;l+m!*hm4vGqCadbHYD(j
z*6b|iham@xea<^pFN>x2L1VEa8EL}m2!H9q{7?LSD8O8-YXzC>gp^%Eg2k5e0%G}+
zzx84MrFWPPhI)!<A{#^f*x!Jip?CuphQbsFL#-3aG2cJ2ktf%$L_QsnC2!GNFi1Z?
zqb1r)U)PR+J|v7GcBb<~m4oR{^p4xhbg6yNn9gTGqW$Ta{+<+IJ=Vd3thdRz|4uO7
z8ZE0}J>#uTZkKrn>tMi(h(5A0;G6vo*cp&FU|~Q^aWG)cvlBZ;P4i|nYCoO1ngpKF
znw`1)Fyvsa_j<?bWv<jd<YTUn`g>A<xmXADFjsnBjLeM<PO&W{E*ahqd%ckcrPh~)
zpMqG@@ON+%$wN+=5rzUD?||1x_%Q4KkkgI$ohz90*q(RW4egmQsP=E*!eV2zoTtYM
zNBjzg{kSnf@d+={I$M?D<4OQ*_ym?_wxMOL;kX$Ru3s~%*ZE*Fd;)4?;aRY4-(oQf
zqaprFkO{i_6{st*OsNaxvTiV2YgdQiQ&{Ut`ZZT+w1(k#p=h)mUZ72LDD2O+@S}s3
zZfp3S@L8xK{6i?kqT_Iq!XIF*VwlXdFtKoqlSEZG+onxkwQk_3AYM3p4)XEaP9DQQ
zi4YaH%+YUvGwIptgC}30K}-g}TGQkz6#fG18xQ}HS1YXeI$>D)w7`(I!gj{Ra0p1H
z)o;KT`^qsPB?uHPspo@8+k8)=TBK+U`qDCiz8L>e91p3Whl{WT3;MN==%rWH8@&?z
zzfzj5RQv7jp%O8%?6*5Z+`FS$?=}?e-BO^ZxOXo=Nb<>fdMZ4ho3YRYUtC5OlKf`m
zz0xF_Vj1!!CWk3PiQekrRuJnBBCu3xHroe-8k|km30k#YsolaD__3ryX+$lh+PBZo
z42>F1pi5em`LBixi(p#Mf$AJ_$e5%ObG&lF$^&bX7MvSxNFXHiWlM@AO<KeD8Vz~5
zM#LxYp^m$=s>@TZ_~bW2#a`&h;w^DY1Y#s$a|B{o^6i)>JxN%j`PRfKL!JIuS91jg
zz9wZ#knDI+;HxOBKPd2`r13tEcG@Ms7g1sZ;R_QC_1_n?f-bHAoZFbHrpNo+%>P``
zvL#7miD2)B-mB2KsnAPEf(P#;FsuPjn54Gk=fT*_Z;cgv$f(TSZJa6o9l*z^bMCAv
zpM@c0wkdt273wD+hYv$uFFeF&5}O2{C7^NenI+#;F6xnUALT0tJY=?=&O>*kz@3wa
zE;fz$F$Y}^(HO~?$!_r00o}Vb3ks<6m0j1yM1}4C--S`CWbGy|FNFvOdXhl1G7u)I
zEzOI8eri<a?zX}}&r#>xSqn4J&!A#2Jj6f}n*;+Tpm8veCEwP(#1r#S?xMg(W)ITY
z=$k2^=VYUEx%Is?xtoVHaietU3bF=}GALe|oWoRgL(h};d%oz%-x4WWX(n&b$=6Lr
zUP=&*@-nE-q3vN(c1GD~$3duku4H|1=Ne7A2dA*pHX4FEYhiXe4=VP8NbDpLOt4b|
zKnFWn@@;aHjzlc-WC9j3YfWd76H|c9$s(6)Tbt4(gtZY@T!p(K_^ekDOlflSzHX&c
z-@J8md|oH~7%0bg+V65S?CzX#jJFamVxK`~3iHmqV4t@VWY%>Cld`i<Y+AQoA9JTs
znVZ@b#<+tz=gwM~F(Rng3lA}d#3sQQ31}RQVafN}B=x{WjYL0iQ{z_nFQy^>LZzd`
zZH@(LaXd8pmd;+Sl<7#Ym$yn0w|-`Zb&ZErqd6qS6dA5#Mt~D2>&VUq{_|Yq%j4F+
zf`wA7H;RFD2m40+LKG!JwAfAtp3>}oBIosDp_*?sQrtxItqElKGkI{MDEp@~5E&;2
z#5Wf?`00^H*$b<nure2p6@NV*?wsRrRWXy?CMOS8J*x(Wx(-*;L|8c-TgqRF0CO2O
z&MyI6wyQs^087@lz&s=d<q03ZOmyVMaed=46@3|UF9#yd5@W%SmZhTKS`e||1+Q*A
zMUK-R%IyoIjxh>P#%hcsRbM1mH=g4ip(Fg@Y$%j9X7v((1NQI(-hd_i08=!zDUS4x
zb);m>52Z=jORC-tMon(YR}~>o>~kXgfZUZz^t1FVKM5>!9bsrRYL7x-Xt>3z;7p8w
zK8vbVBcPRAOW3y~+KsTxN~6S(=e+skoqiPU1A05_q;iU?`!L7%`x~&+4{yLiKbYd6
zpMqC6{)SPbF{P?ITycPpjE){+SXzdPDcVpKyxnK4e$gmp49AYQzY`!Tk{oHfy7ABb
zZD)Wo)4^%z+j6lb8;QYdUMjXA&&V(H8JW*{hwTjx@)J6Qs^kj}dfwlY0>MG7g9e_;
zL?&fddR`0;vaPNozPj=F8J&L&PEZDsae>fpmQVxLyeq}A&<|gf4Tn%%-DpE5#xz_D
zQ#{hJDO%Miaw=M*>9#{ukMY9Bg{2}=Sk8LR2&utd?z<SdxyhYDsw3g+k<!M)*JUO+
zL>5mGT!6@)&j$&}t^#9%_&5_(GCE@|^;7t<-4(nvq7PR~h&{RbN`gu{-Zgm;6=5NJ
zvCsrp+D8@^lJ}y<`>sFs2>Ktx<!lA3Xoa}+Q6Lb%(8u4)Jbu+)cP^BQqwLV`#A83&
zkl^qJV3MY67%RRW`ysAK<2)jM>YabLQKeh{Vi&ph`F84}JF6<Hb47XF2^D)mBBQ26
zC}Gr00OT-gTJm`=W0Z)c+}LQ=8ZQX0*o<Zhkcc^t&1g_oe{9AsWg9ZD8yh$8YPW*T
zY}=woXyn|vJO;g1Db`Ih-f0)S@dX0GYU;-%wIx#<)_EiIosHi%s&x-Q;g4@nH{DrP
z{s<p{%vqx|z5{u^KoNg1l(YeRPig#dkumbAn7;)2e??mVHz?#&*9s$iM71cwzB?N?
zLai!sx=BN!B91U@eay4yFh#8n7-DJZ*<0@|8DZ#_e5YT92LcB@iY7sEVZX8!{5dEB
zz*Q4h8BJv?D}={*Xttj&5I>(XuL*(Zty1`BW;4{v4f3d$WHiX{p{yhG&-_X*8sYw#
zU05hZjZ*wGJH_4s4&MDwcX#7V9stQvQ-%^gDT36-=>mZsF<s=myYbdM!xL)u%~&Wq
zedwEKQXCBd528lTB$XrD3*48vlSL)8(R})9_<ou>uf!!{xH~<cAO=J=7cuyy6!+SR
zO`GuA`3v#Gr^FswPO|0jsRuw%`R;DSbawjGpTfY{*;w?KdHNLd!A&qXO{VUN@429R
z@~9oX;3NxAb)StDf*YLm?pv~V^q1MY_-w4Wg~|Fk(K_yB+`^Bsf&;it0#`GbmSj>%
zBvtCCLegp1lUZe~K3-qU*4g?Ld=9e6Co7_5z4oA64Tkk85F7O)qqWsRw;QzjW&VCw
zv|7ArHd?`OSG1xR^!p%&d&6i0e84s6H=4ca*>1blhmRA6(Xy*6%|Xx`-aF*`_jS9X
zl{|{N-G%Zi!K)g;mo;-8__2yLQ--?t!_P7PbI@(VuQmO4wLDX)?#EPUZYlJuduSLP
zHQR3YTWz>VGfuqp$Y@OuzNLdG)bfoGH8(eeH)|oHqtPi>+jDbJv<Fp=vo}FApf_c_
zU!Y7M!9bUxMP8s;>A`n;@M3j0=(M~2ax*v(G>4ZiipJ`dru?}y+7R5>0Id3z{-7r^
zEsd7ef|<cSD83fIPy?(W2i$o%2X9vPyOnBy{T{wMTH9!K2K{o-s<u(18AdAy{n;&N
zZ|ODQ@8k5ua?tIzyX883egvnW0nXUfY9FYfJ?QJTETvk8(S(s=R1q$z0f((+^~QY=
zrH|7SjKa}+977L)sslt#7}GFX)2y`i4J!KrK)eRO7X__hbaXeUw!5`5`*;PKfvY?L
zhh^1vYZitHh%{<&A!;z&xDk$Bi`G^K{dPHi6)kE2QLU*B<~n6bcmOQDfFo>!ZmZJ7
z3fIvaK)2Py>5pG^dcmO9F5ftZB(*-cvD1c2N7a%<CDnfUK%>`ykD{=ya;?#;%)niv
zvX{#RL)53D)i9VIus{V5XM^l(c(yXyUV1~|(2e*PGy=C&U>=xZtgQx9zN%X}D1QQp
zZa}UA%4zKbLTonX8vWrVM?CZMrP10>(1H6HX9M8IDx*bwLszCEdqkyrzu)O?+q(7O
z!GqJCL;ZTYHQny++gb|_Y=xY?t;6UgSc19&CCdE(u3`h;8-jx)=xjOp^s@ljwcXjO
z(G0$cn>kK2({Hzd(HlX3mYS*e=bF&O%6?@AxTw~z4=-I2O#n^Kl_h)1?w5NVq>%SS
z>wAY<{mPBydShR`3I758E@`%r^jG)hD!^!O9ROeV0H~wsH~U#`wyPBm?L@T>R=z4s
zJmWV&nIMGH`v)CpVl4=zexncgGdb`cpq_TM(V7Js5Q5<-6cxR}jGk|O0QZK}fL9Me
zTlFC5Lv1gq!ggbSIe<@7o8?Na)(uE9ygOPPv<?hm*@{*$5dl02<ke`^V2=XC)UR~+
z1t4;O7&bsdKrVfdlt2o#V752B8HAYjwgq-edJVPB${+ZRY@<f+m*Y$Jclb1}DBp!g
zFItJO@rww|L<zfk^%HM~8!0dy)|PYXE2CwsGqFfs%1o;D6Ch*#L|8h`A+x{wA!oF-
z(VJ@n#iBNOAqWaEDc}EMj^}_Q{m?wm4r>HU<n{I0@RKV5s88eLn|NO3|G~!%Yv3`9
zkMq{T;{tq4Z-B>H`1l|`?#IW&8{zR=`1s5OJRZTv11G}cL45r0li=|LKK8#19vyuA
z@DzCb2p?ZR4IWS8<K8Xs_z*r;oDPpQ`1t-A@c02fo_`fQmb@Asx4#A+cjDueZSZ&n
zK0a^`JpL;_PCE}C)A;!Ho$z=FAN331F^7*=!SS8pc6?lY89c7V$5XrD@eDq0z5*Wa
z#K&E`;c*W>ZoCp6H{;{Ez3})MKJX$Zy77v>o~JMD$st7Uv_Z5+Won|xHPr?zdq~ni
zrR)vLZjq0XzWRpc1BL)0FgMd~N;yGUf5~_$bFb8DTq#<mLPu%!!!q3M<GTM6vo4-;
zL^K8~OSL_~bz>N<s<xX=U{)9dXcx<0$KT%ztaSTu56H$&r3-5XaApq{HEeJaxM^+g
zP!B|@c%9^`_|BvAE&%>*(bYwzW~0|H(dV0}bHK`6s+4A6!Q2litzdg;(1N82Is@N%
z4nSq7fx;rc%bj;U`gW&Z19r~wWif=TLJ6-Lxl}4hOX&NoX!#p=?%8$mt_xAVquzKa
zh#{_0hHp6;Y6G#-#(s>4H{s8jumitzmycosm^T94oiOiubR_S|jpTdtA{pKZB`hFr
z+OC1P6@ShI(NR(Z5(G+&vP!<Db!t_kRc#Jxpm?<R;Sx1gLnV#tGe{bPnd$!zN0xe%

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.profiler_options.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.profiler_options.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..a1c6fa279bfe154f7ad256be3a97485945e50d62
GIT binary patch
literal 757736
zcmeEv37n)wc{j^m>~Jaw3&TKj2o3DcatOi@kmV-ahkybOy)!-A{q9Wn(A~qb3Wyrb
zhqi(;L_v&4G~TEvYRu;mkHi=aMq^?$F$f;<NTN{_k9_()&r^53RrOZAJ+toc)87xb
zr@M})o~xev*YVu3^4?`TE!zqI*Wa@{+i13K8LdrDw%U{R?tFij$@awDOuf~czi0la
z7tG%_U+u5y)V6lpbDfF$e19h>G0|vFPj>39`5Wf@dtmWibGkdq>#y$CCwk3xOIB~J
zY^-XmzG1%FSkqtGYxbt=+E4wxF6*?Xn$z`8<<eQK)}6<)P;|vr^;?hzM~N5D6J5~o
z-u+dxHK3$7-*{4g&A24JvAn;EQ+!E(#dNb(pTA^oQ>{N#>-9R#O>;dMDUNJ;bFz!0
zSUoXa>vrKw_`I@Jn_-`JnVg$de{8BvZ0Xdeu*_V4b+5J=f0}RX*%)r@);O@SyfM<>
zyy2PMdZ)W#OSe_8ZQ3w#-1uy#odG|(8!o+ayi=cTcQ>3}>(#`VHvqxi4UEtYlkfu+
zCuWR_4_*0byv_JC+Ude*54v#YxlN6o`YW5Q$@(oCLm96d2gB$ZhX5lFga4ii{~Zbc
z9fczWW_6l0zG{EPY^~Xu?{AoCPtHx(Ppw3fFy9|#HP**gXso)VH(#4;9Mf2@vFndh
z*)>(K_2xSD@lBmtYocLrY=h*O{3JOxyKM{^4dZTYuC%A3hY4I>23%g#Ujs^3+uW(m
zHZ)H6Pq=cnKGB@oR_QhB6)v61)<(Tm>CClS*cbkQEUF0NMwxc+TduCs`?G+H8=2Bw
z(l`iJ+beNo`ZGW`mjbheZUECqneP$K!#g}vp;vW*?ciYgr=3~r)|p4CRLQt2%~q`7
zkDBivAF0`+s-JnMk~8surLF+)I-#kLaEd#D3x!|CyG?K?sNGtb{{E`@>e02%=I*-6
z(MNCDI@vvn6sZdB?n$+4tya5Nv;1y<6&txwI`OB{qgBB1={P;=ueoJrdaOHJ!&zXL
z*-jli-OcrRRIdzLnc^<+?K`$j8}dTK0S@lQI0!Q!I&?AXHCFbku}UBq9ACi{!Snqh
zsP=aS%~%ioChGdTBe5h_`n#?>_r`M@&qI0KrsUDMmD~f2at)2r9^#NvFfj=IE0fGu
zhRECn$z(L{f?fH^yURu1lZia^vorNxy))f}Sxyth?uPbD<!7cNYw0ysQVm)1Nz^{j
z2(v=HQ|q-mdf{b9i_ya;bI|Yc54yjsJzvuWfXsh4jPC8ES0pO5>v5awE6|ihkL(Y#
z(@%stZRI=t80)m|b(2Ch-U<c(1gLwPaIgJU%%N~bJt)85`Dn=#{AkkmPk#CuA91qe
zE70l3W#cQ*he-y|A7%&N4Rr7~xejpn&_VR@iwnLHTI4Q`n~+xLh8l)d5Iury=lesb
z`0Y&?=FJ=C*k8q>r1}1lk&Xm{Pcm(oO8UD@%}q~};xz6-y_#%{ASD+r1IlX19nE)5
zv|BwrVi&V!wQ+`I`3-34-Lc9T^)Pnh?Y(WYFj<bCS8vrj&50YYuUt0<qZqp}l2*-=
zUUee`mlWae+h5JQQ3|8JY7A#jhINN7T6Dj&_0}X%GJXq0*Sb-z^^wXHXH9?gbQ4@f
zZCb089gH2|3Ia&sLsO){oI9KyW|3fqP7o9m9sQkWx8XduZ9S8SAz6?|b_g~zoQ=Rg
zq42A}3PuIdXNnT6p(-=AW@|nhh4%Za;R_HKOuSq_`n$q6^;>4An-k66{GC)_Ypv6Q
zk82>><$9M5VPzNtW8{3}9$3mjOW=L#Jy^P#8h}%IHjJYh=`X2S98H203oK&a{_>qF
z*C~njmxEr<I}|TF5JoDEW30UDlQL$9YOQ4#ArqMno>0P?6!oO9mtbqOzI289)oeZd
z&a`zEXe*eo>4h|1{e37IrK{N(wyCS(wfKcn!{ykGUkS4_pg3t?wh=xx?#a%?`lXnm
zv@$yz+aeFB#J%hW#jZa5;SjavxvkYOw2f;cz2QBv59VE!?_7IsyHf!tJJsAg#}<)%
zEiR@oe*rnIWm~c3;cSj~&=_%v(~c%^<+k*UQDb7MbzI}R{`s(EhCr<cP(>v=tX9D+
zuDG%KHdxD@mTrTHy71o3WnCtQCdAjcQ8*E?psR~7`cF~x7!A@?xkVORBWSG%b<)0(
z`a{0pzG&qU0UxZ*GJyNI2kC!c$t=$dj?qf(ZppDBT|CUu>R*{Wdz&1+%iyYw2O6(4
zCU?O(Sf*&4%ifC35FJW#YbTo%z3Tv2T30!<-JY)3S`2bv;Sfwl2aHv`MNBF`7^G5n
z3xYmVvWh<C?y|d~Q5LIaE8t_c68_H^Yqkcyi4RY+U7<L5^WCtPN4wFdLae%EHI1T)
zSK&Bm7RdI1k3#W;iL066$SdlA*|aJ(m>y=gA-Jf(K;eVHg-P5my1dkm>`O??aP~z`
zl5jj`*s3cCpVgMO1im080Ql?BRI@%kIc|XhLK?8GK)-9t0QD2EYOlaoGr7q%sQg><
zo&4<&Qkb57k4fq~_|FJ8$O|FjQX|;Zp4^rrQ(L4Rhu#8qL24aKmyYae+El?^jIqki
zwdpz7fDnPEr{-gK+~=(;2iq^x@o@I*6!t)*HJtqlYJ@^ijP`z^*ce*VW6^K1qTi%e
zvv0#cmZ@gn*S_oT%B_{wQk-$dcak9_{R4MqULeZkg!K2vO1kv3Uuq;U#ndFe0wvDY
z5c-OQm)jR$WBlEu>$qsT^cbG45gZFg;s&{PV|mDWrXasd8y(Gw`TxTr`_I9Mcw~=K
zphe?wwjRhTkS*!J(Z%J24j?m=bU;mh_Rbd)`maDYD53BzLayOTyR%ASN|3Sz@Yt+a
z&7J||A~w!KPjemCUp3igOL{7`8dgw@@l#X@;Ysc9)vY$$*}D_yZj96VZ<qz2eBDrP
zhXf+)joo^$dQ_>P8lc%mdlEwGlS+it(Cq-R^s!njjRWBOZF+pQ2|}<Nj;gFby>dw#
zHhj^(s|^)2E++z*x1`UeQN0Mn5Ljjh!^G#yy8U-AodBEoK@shngxBn^_3@R>GYU2i
z7p!Vn?`qzpn5pF7Cjal3JamQW4JYWE{Sj0m9CRNE@6XP)CVF$Zt*~WdqJQ{g_WX`u
z&;4byIlMi48&(+>-S699R<YVd!gOuY__3#25s=0*MK$oKp!fd^t7(5AnD_n?!STBL
zAbhAf`;P(@bDOfa!#`4amI2bn><d1bJpM|M=<H$m*+%sRlX*|h*>O3ny{w)d5B8+T
z$vS(oN1&Plxbp0wp2Fa20e5y@C)fA*(d5s62dOU2pB1QKR#z*Qo2nV7KZOipT@Az`
zgzvciXs8~AV*3S&j^K|uRR`UPRa84YBbMH<i<Z3#Bo>NxL|NEL%GCUjy%Gg&Y&>^p
z1=-b>1^pFr0`s^9`rXu^(}Em|)cZaIcJ*BXMoY9@PXRI_*pfXR$#ru^@jrVmaBI;3
zj6KYdf{ro(a=}GJIKZvkEWy)-ae#fUtoJIl>1l2GuNM98AEo%RNydv!(GtX%5Ru^}
z7i<ty$N4y6;#NS){a3;+AfC~w5n={>to0Cb@4+rumpBX93ZU?{N_TD(L@ofe3?bA~
zo5gUu)2#L68LZI?3Il(n6>`@^WxAu4YnmXaPOaIkSL&TkyED{eu+3DvGXqO&Jh|2E
zR+=*`keAraj!dFbrY>@KIJ=26S*&sVUY;vcHj6b5x^OvERuak{%`IN5#p~>$%fvYj
z39#s2Nn**hzc__bvC4iSR+6TQkw|creL9apVbuf6X;>qyXIjP;3?;5`yKZG$d#<vz
z)&eDJS3uX82H;_<J@}6EIK&<8)@I#j%dnPDVe)Ttv=2m&Hai=f4_|QK0JXFQ_x;!i
zgrD#a?RoB8salgf{-npBu6bmq{$64@^_kg5t=lvwA&E=?knMsY-f#60RI%)RjOGW4
zW`9vVC`&{vvWKDV0M|H7A-T5fr~;<JxK~ylyW<`^ShJZ6<<=pygug0OC#e#N^|;J+
z!K%s90eBGHa!&!rF>K|K8(Ni(YUq&z7UhuJ^QmaDE0DmdFbe^^N*<6C_z!4KAC_N1
zkOmI4{s1e*I{_6{p+cJ>lnA+ov)`mpLJa<2Vnvu@&S0cCiNQhf3Oq}=YvJp|l{lUy
zLL13I2cGp=AQw(C5$a>2Sy=|oDZ}5hE%@oE74U!4^3x1_T6pB@T$s<BfIQU)g|AL6
z0bhx}2f(m4Y5}Kcu1aypIK?4j6<n@WPODtinX40!g*zU&zj#CCRyU}%i)crzoYWVl
zft?8g@*7xq7xZ*lxBt-6fwvTAY>dmta>hdq;|dnkF|J*;l0p*3ccw6&B^jE4bv+X*
z<q#J?s<k=TM{vc=dIBezgSGG%U5hkWi>?3B%e!I?aJUXA;x?-}zYo>Jf`x`6wh?2k
zzTJ3Zm@^QIsq?eTP7{g%pG@)JA0D>z0Bu&-^_u>wW{a*mY3HU_peqrCus=*%9t_fg
z$IYi|bJM+XuqJ58!07sWcjsnj+nwHccc#|q-89$6YgOp>vv*;u!<=USbR;km#8WPJ
zNx^}=AfBQeQg#{kga)3S43m+BA|bMMc}|aN(#EpMm%k12MGuP7RFk@jMpHgVOo>KW
zzZoPtX!E?MSd{fYgFTgIPa4YV<c=Rh+<B$xyiALa;Eu~9A`QAnv}ARwu)SrsT25e}
z#i9mG!6`*6;-#?rh#(QMV!Q~$!~rlvCdWcIAuvOi^{dL+DIk$W!wmO!gm4l#WWI<n
zu2Z>MfH1<q;YnBXnAQLwCfgOb&qYU0;fOaNi-3(y)aC?WrJ%*K)upq`E<zO;&VD~y
z6TrU{__#DfL6XjSe6R)rIeY~of?Wm)Zot#@1O!f1x@`#o2Foa(UdMR)tW=(6*J2HZ
z!6_QI0|qyfLaA7OXIN>3&%k)jDU88gs>R5aDn^5Z!<{=_L+}mIUizK$AK+KOWFdAL
zt#H7A$pyb3nyO8A>l~EJUaL?0M$F9-2je>_BXWN)j2^ZQE1d(i@?hNU@T~`o!=H>f
zBJZEGhxB2nSQ?QEN8tQwt3`7v)BQF^V;p*$Ckp*V^*|;Sdb<zW4)BOWZ<0qj=*?yk
zjN1vlIm(?<UW24I^ap4JoTp8dnvHy*-17=#fnwvB5t>;fX0(}#E*L2HC1_69Tfgcc
zxg3;x1S`dRg(?QbxI;q-2%Pl?yVo5BY{ZbcvkT9l7V#C7bmQxQFdt7DH35K+65GSv
z;lf1jEU++*1B}Aw=?5JpAIRq|TUA1+zfKeC8Wd_3a4UXI-4l>HmR<WsQ>S~Y>|H>g
z>pGI}Xe0Gp?5~~-)R0eKX78`yFS=>CN9Z`7vd*gL*P1~FNFAq)&)y2L$5-sp_9R~U
zhogBk)TSgO2=*>ea1k&iq2MA;mmbT3f|GIuP;mU6q2Lq11BQarr^P|Rub6JvCda2b
z?U`}hbSjC3)2-HuJkYtZ1R`$IF#s-pfwrhJ8>O3H>u4R++|15;awHs3a@@folw4J(
z)poU^Zs_br<7C5>$FIyUP4{?fw0#Qj3h&|EB5U<OymSz9lh^R55GcQPV0I7tcXl?*
z{@Uc<%OodU&~|vAL2)sADK=x__Vj#9NEx{F6@b42wVEL?+S>!_OWfDS66O%z7#xD<
z=-BI^QpCBZ211?pQCaN`h6C8$QkR1BF)8v_v9fGb`@$11bS>2y!k?8H!ox(C1z`C%
z82&2QM-Wb9J-OgC{6(KvwGD<{X^UOo2XjxluA>V7Vm0fZri@v)=ujxXA`yFL_MeEs
zu3_UZ`mik__))~4S{2QK1%(i%CIv-Ywc4cKBtl<}hPXQ@ipa)eg$nL%oUs0Z6O7u%
zIV?PE_cl&Z*V(%PIh5NNp(6_v&7T;gA^S7JLbY9#;yoKipv6Y51u^X@M^;=G_iS9w
z-Q2SovgUEOdF!Q2zkOAZ7qM!HS6oR=#WNXthtV51mjNvi(}94rUCdEz&AMRaiw0?H
zZ;XvvGd{%ZbeDH2$20`^&T%(c2*+=LlZ$||%V#1h7-v_qZW|ttgJ7Fq&1|;lVBqwW
z1csCAN!87shiW^VZHv}klnS2yUGh@7nGYGHviQeLUy;IJ0cO1nD~<4I)CX~|>F>G;
z-fF7%{1=o75E+Npie|JUqu{_XqE=_1&%|Jq9Z|(YKd}9<uClSU4ezwE^Qv6^wl;eW
zrJ`^;8g_?hf1d9PRZUP_i-O$&@4KT}qeBW^sFjDo-wxk;U~v4&2yzNxa5Om)=(@tX
zPg*Vd0}n(WI1K)AqR?Mdk5N)#@J~bA0UmJ}obkwn`~!EVzFuaOypJLluVQ*8m@NL3
z-id;YAC@8DdkJjL{t*ht<9FGAK=E>H4qn1qv5TpoejU-&DU#94!H@-)>9fh=r<CdX
z$xta2Wayfl%HsW??NThxT6kaDbB$|#nPD;x<Fd&{De)KGqd*zwu92hM5!!Sf@~2Wv
z{n#2Xm)rfRP|mj>^rr>Zf(rL$9PM!SMk<=U1^yB1gxpMWIYR|1)wA*R09!NDEW*Es
z@TGk-?6@>1>lKXoaHm^bk)YQ!Vb=u%AH^inU29?y*aMfg_*1fsoX4}HMIKN$e&OM2
zQh1PZ{=x(Pq^p8s@nAaK704Q4k?aqX@V3=rlsA|r3jIX~G0B^t?EsJX<idDlj&(Vx
zfEX%$Hb?r0Wk$;TDVkskSFo=s)A_v%$7UOL$nH;Iv&$*jn&@*%j&i4zH%}?i{s4`D
zcd@A|c3oE%$Rg*uf=y<xXI}0B@^XGd!dCg7DhBD1+e!b2iZ0j&`8Seumv4}N9V->B
zDb%9i&`a4{gB5$0nr+X{O~Yk~Nx2A(DXR1&rZgzTf2NF)w!?oIp%7ej$cqIQUE+55
z?rY3>Bdl>;ghN;<UW7V=gma~1ZUQHvmy%MVDfG~28V8tOjQ)$KnS+3)Q0xizNy;!>
zTu#_Aay3aA!j6PL_9H-sq-|k=7fB&IwuNcU64(~T-`TeCGhtwCTbMotw}r!FVt2P1
z^!_t@4?0g6TeI?qg3Z_d=+f3Eq=qhSO-Q=vlT8<-H5v4+p)<~eV}9~k#8R0UPDD@y
zZekbaMKQWEccVpu7PciBdb0Bfqm^p2I}Y#eZ<?-8ns>8UG_372i_{7-6vliq_Px<t
zf!}(J>i0DQWT(AlS*!o99er<Emp0!|zFjO*wp%)d>}8T;?mg(2HeP1fh2S>iO~`JM
zb+eb^M{7@fcSAo!Ol^H@dhh#Wi*9N{?~gjEQLi=a=h06_m)ZvpmecRC4XFmj*z~W=
zfxRa<FwZ{uJE0Qbz2>_?{!QkO2Kxx^Z?c{+LbvS@f6?tw+hkTJZ{3r$>oD$@t>*k@
zZA{OFo6DQPn&$N#r}&3jwMXAC!AO~}4Id%qTlBfNNW<KV-6H*Qm^JP#(xR@dEz+VJ
zZp(*EX`90@vqj1X^v~47pWqhhTU{)7Y^Tx|spOXOJ*t<i3qLRXF5oJ9%{O~3(#f{_
zc;{^6jFVKjarPqIyw%c6M9<n#jjeD>WT4Qen}j43RZAlbQ}3TD(oU2Z0y#}H8NdnH
z8G}R1B$YB<?ui!VrY`Hb0E#nL90zTMB6yj(BA*T58BkR{mR6jUg1s7gIMkvIBT_b&
z5}*uAq(d87asd(96sjL>k$F;8gw^x3#8efgjW`taSwId~(D-LPjaIG0XV+na3zD$n
z8se0x<i<IURg@`ZVm_~;b*QSTXjH-qmx7jMiBi(+a^wd~TOmcSr>$T+Cc~L6cjfxs
zy9OhA%TMJ@2gOp@(Sew^0v<4;C#`toDsX;@8ifl<|C7B4dl=4Mz&jFaL%(!zI>B=a
zOKsIcM(X6}0T;BIy(V1Pd~RJl_|MrXxfv>=c=;;E%ezx~ncamo*abmFq2u&KF~qs%
z>KeS721{G{M3?rBq?GWdH>Z#(j!wK0D*;A^0mMPRqZ3M1H>#C~b~zA3V1N%elkqt&
zwjAFu+3X_i+ND`00c(d!U%YT1r+;M*^UtD(sl#KY(?GN5n^g}(bDonB_>=A-jR1sg
z=9wEfYFPs78P^)*Z><)CRw+(G{0&j)FRCwBQcpsB5!w#3iLXf{n{vCmHkW)GDUNdM
zk`za(K|ie?ctgAIBA-2+JygJS)F6(IqX|U<qJJFGDhEV`-w+PG^h4s$G*1gAT}092
zhl+I<<?QIdTW`fayJ%!%&2odjQNU8n+^P+gw&x-~Q?g}=)$aDck#fkcrnB(dt5|m;
zYB(ZmE$MTD3veUlSjmZW{7rE&+knmdmTsh+8ytcMX*&}th1PdMTM(r<oysoejg;q<
z8N#!PtZ1-sI@m`LEMz^oz(V{*pQ|;naF81*FSMHVTeUt57e9T4Cw2_bFv9>v!vh7<
zBQU|+iN~&y<1hNiEjjovrQBy#G{+W{Lzo&sq4MWVFd{M^bEKg4ok1duRivKi&_ZSH
z(;>Vo9hHq^uoW1%LD#Sr#)7V&4UgOnx)yb9fv&`G9#Olv|Fs|uWk6R(pv6W9kgD8S
zaajaiT`qoM@1^`A$ctD_jK7ysVDLW!aw6shaW%!oAH~^hEwr}apfm#rDa+h}p<qnB
zytJf49D*AT;5t%>vnO9P;YONVPcDkG%5E?Z3}*-7KVDc*S7QPEEcpv6!+gjfmBqiH
zazYA!1<G<PRvO{KsRw1r-T)_2tmRJl`0#J*BFZJvEYP8awNOj#D`*JJ@52us1O|W7
zmDv$jSO^RSR$|7ZKct0FyfI<5Xa+r&c?bmNMxxMPRFC~q5tur(9cB|pU>KW>;b#8=
zD#Hhx%jI)xnUV5N^5L7&Z(m$M;eCrgO;-2I5O8M#tFv36aKe3*S3vQytnLS|q`bMz
zP$PL=a3$s8GF?9el|sRVuF$Dm{?Gti4&F-nLYa{=CgZxvzLkQ%=)MKYIB%sm%EjI>
zk@k>sE5+_lMRD%^rQz(n0%@YJ<+oDKrlR3#We2*I@=Hrbeit0JYmW8*H;o<yoxhlZ
zKk3>~Jku0iOxbgHvqeAcC?9_7aW|;6Scdr|Xgka%KGQHZnI6C3Zpx8m2Fv>?nrsU1
zrkq@+^Ai`2(>D5$jiqtg<(+JO^m!*oxdCpLD2FvbBd`dusVeqiKOxf$+lb-Af=!C+
zDH|hN<-0f-qDSuHtf!*Id$*BERc=pGUw*gYd044nMWG!rh`L3>jz7f|ReBOr8WiHL
zlrhqcgg(>=c|vrWTy)5b1r}Z6^^|v~3{NZy-+`6lMW|mq!MNKoLxGdfOGzow%IA~O
zG!78`8U061HXkG51r49{;m?c934K7uCh0@im+%c)fij2<*>EMEzDEE?QqK8{AS}KP
z+)%+)4!a5RGZ+}Vp+cYRn;>labkNHn7xKi|O?YIRwo#LBbyRo@+aLw?8Rd3~6%FPU
zk)$2swI(R3w+Z&6zdyJ}P%Q7?YTuY<w8tK?VV&5y!+qW%S*!n{rF1)FRA-uX$zn+V
zjm;hUS0>v=Bm>g7cNO!p1F;#RLp>h37GWNIiDjKQ?Zu7+$P^O?=;_A|ov`!Q9uuTe
zM~B?PRrD$EkgbG97ZZE;t2xY(^f1&CRyl&*S97rx!tO`%2bF8^7U}FZGoz^RO5oSz
zF~I2ZQkk>!ke1=>oM=r!A>jGSr7nasl@Lmy?2*y%vr`x=LaA%8(g?Rc55BHN!^fe=
z;IA~no8~H~=#gDbOX%&UG4^DWxMp>NujXTS+~=(;m8V~(<Kb*e3QH(hYCw(1;2BvL
z87y5zMT^%xiNW)oDZ>*Ie+gEKmpFTt${#kno~`=hXu9-(IT8QoDO>eW`5Dl!xlzJ#
znfu{~0;!VpUtL^Igv!XqB<ZVp&4EUWH@=0dND7sOlb2F;gv##%a^a8+q>`?8dfQyN
zF0lj)mcN9bDAy%@TAX0{Y&f=G{zRpG*ZY)mQ8IKsKzMwD5ekjsNZRZX3q4-i1gAIg
zX}i<inJt$S4J`Vj&(hh^qVoqJ1RYj2*LmT0roSueF1-xucpy?;0AB0kE1Oo-4d8G=
z{R*(mTg|uN<liR$ciuC^f6tM`UjySI)QY|QyH~J};5jnZ6XKut<zM_oR~+p;-<~So
zC*>q2R^4!j%da01q*o8}b-%s{XZj8WLUMe*PJ|k{4c$|MbO-s&d&(p2z<NqTVQS5J
z!JbNUh<ZvnljmYka3A*BLBdP3$aR&Y5$viok62fOG70XjalfG7U?Y$Gydd2XEV3d1
z_Yp~E*j7=`F~DDvyD?`5oquAfjmH4hoRIwjJp@7l<}pCETjcQwjzg%g5AsB(CFBw8
zZJ-i|P+tp#gd#l73UTPq#SO*t>@ncbVge6O$^{VOq#qX!E#AMyJ$d2ceV;4qkV0{K
zT3e5)mAd;!>9(@Zpa_SvPen^oEX&`$qr-9X<~>Ge@LCHo^%H!Y5N4>$dG}vghbM-c
ztxAnvgk<UZ;H|n|t=WR-hk>)O*oCX6wMutx6Ep^Y4&mCjHj5E8Tr=#|<+ala3Il&+
zFBY3nN_Vt!O%s}<3}7rJ*bpWHgyK`}&I~-uO*t7M3*Zck)g|DvBa^6<>F=2`eJNF$
zvcJO`?B1u6&~`YK_?;9=#S;2)tTZA_6(f;f!ke(>2}Di1PUk@^d-+;Ec8ytoP{B~*
z3P|ZzwzcOfTWc*)qBh=bcHaAxL2EdO{Z;hn^kwwNpq9Ce=BGgZ2Y&FJH^iUxsM9fp
zn8zX%t^kpgE7;s?FSAAeG>03S{1nLUP$@JG=(A8F-jF>R+77dcqYaWxxsy{imtg45
zlT(gz>o9hYRvBrL{j_>85!ijJY0-gO5Nh&MQj4&B_=YoDP9$pbC>1Tn%p%dz3zO7|
zpA|SCE5#eSil9)Z&2WkT4Gg|Mg%V=$v!F&utI+^BgOTDS1_#9}U@75}lVB+kzDNc-
zV5z49x&6QnF8<Cysh8j<0;TBF;($^Yz?|I#M5(?2$kgfOkSRgI0Pxh=W^^f9tZHdT
z&DZ`Aqr!}lxD|K<e@&ZV16sDUT|_%#fuz2W-iFpmuLnu#Q-SFi!pPNYW!?VLOuucx
zS3Z_A9%}Gau%HfK8QGrs>~DN$3gd&4p|0Iy4~+E?RLa3C{x|GC9qc2xFlIf0x6Hv<
z_=~PZ8jPhLi*Q64=y?&`vfk|Zn$?`Cl(7rd+#R)a(BU75w^sLVC?L!n2*jeYc>Pa!
z<nG&&MO|CBC5xV@Tk|ASnC9@y+?Hen`X?^|ec)}$2VE?8Kq?56C<m0i8yS~}N%nGk
zN{=c!QUF(j%qXvl)Kv=pbvO``Gjl(RdTNmFpqcZYVo}r!f<2YyP%?_@WRM>qygo>F
z1cO|D5NXi;ptZT+zog!>Dq1%8@XiQvX;y$i<lEp&FakDiA2pydPC;4$FU10P1c}hQ
z*H>otj==)pgKS8J{zBk`E;pbmXMY5)VKMQ+ecch91PPgIB0TFg+`WTT_Q-({RSktW
z>1rO^8eqd@yV7dYx^ik77nqo8Yoay>DdJeZdWk=ktuDin>`ze_hO;+EtAqd=mu4hL
z(s?5vtbsNTUr}qqTcV7^8@ARu1OWjI*lkO82g@j)KFoOf{#2f34`B_4w<#L81K##m
zDU=Gl?bBFkgipxDhm<bWf@$rowR5Ly2(;CD41MMN2dEYB*Unshw8D<SY2Ob`)uy|3
zCje)J+{Iz|KSvK+N0?p@wVXiQSK$W_5Qje*^F`iQTR<E|%X|o~(D}z!i{?b4`*012
z`wybfUsQMZsX*LMpzSc5I1ne<lmp^yF2P*q1mYa!PARWP(r)_$Gy*Qvrb^9BK8Wrs
z1>(>UBs8{21nDoR=z>9X>z-_?u3vkQTn^D4g_YucLlvWB+>>F`Tcrxtue*yTBnCsH
zKT4n+@fDPG<LiJhPfHm!!GU8?BN7fo?kun{6VE7Kmohvd)N8R)yih6oXcfRKCN<xQ
z7ROp_Hkvx!VP&hJTKx6-{tD_j%4JPM%jDUYRV@Sqe<^V6;KdwgQeI+J^qbWnW2BA~
zhiG3cw})8l*P6sG|A;idhB}pG3c=n5GA@FrBxGE~>{7)Y$T+E302#;M88ZG+{6xq&
zeF`Gu;W6>6S9APLd>~Jz2r(;Gv&Zq#HGd8s{FzbrIY}LTvZ-5u96Xnt4=%mExl^0j
z*qXe24t7qP@aQkQ$x<pK&snj^eV}6#zK_q(^9O-8ec5`}RW>zS;}h+<R&TuB8E0o>
z$130t0n3L}-thnEfEc=eTII;vT(5oPx=L$qX8b0>t}!ZjTIIN7k3E)q(bViekAtLj
z2j#a)0nXw5u78!a`XAZB50nH%^V`b>^k0&HE`Yz<2;~A&yw84&%~;pehJyoUCzpd|
zWJE+*&`x`Y^dr14<fK#`6W**I*EV*x7TPlSrkL8dS)9Z}`vy7X*|d2wRLY^b{!N?1
zgM9?SO4gGL9>iaC7ck(a&6w4k-=i3ji}l21%%;t^Van6q5Y=-EokV=Kx^{2agc%dN
zVRKD*)b0(NqOKD+Y??tD%52y$0?jZ&#}34tfEzY@5X-gKdQT`Z!EsytxHy*8-`mlM
zSmil?Gu_t<gDmkF<?S>Q3$ynd<=w$Pf=0=Dav3H5;xWpnIAa9HIXB4fSYQ09)xKpa
z+7?5SmF9PA0!I2K;<Ib?_=`SzOBVk9laE>z&0z&)5vInsf3h4xHEYfHNRS5Ie9~Bp
zJsCTNrCFPsar_MZPH-@bz)-gAHm&&QK_W_Xly#NHQcDy48?U?WW2$hnCPtg`{=uF~
zbEkwUTg>rqx~>b79HCX#l;ob-!`?M^W<NVfYr{RW7j<pU?5o)7PRwiKPtypl4$@I(
zc4tIdtkgVzaCYC{yAsXK;kz3}#VD<B&B3;VgZ0eYTcA?TwfX1m+k$-rm5}x1nz`^7
zedf}FX__i<%f@5b`I+P%t1;7ul(+1ZndB~Fs@1dG-ojjowYT?%2ko}EqOMJQTY-Ry
z&_nizseYdf(on|M7=bCaR$La3KDpM|s%G{zKnNE6%tM1`=iC{lWx#6j%@qzs(DwO1
zb8rJpF?_gTrfhajJ;M$q=%iddV>bq%j~m%!R0W$|&AU}$oB9ek`dv%*hPC!jPtL<>
z5KBsDrsDiB?2q9xC9{f~y8Ba$e$#Z*vT^<h+6rx21+sDe8melk4ms-V+JC{b6!Uko
zY@ClnEw*`%%EhvAmgEZVBG8ud$P&jW$*52(X^Y8|o-?eqhYPI@S%^b7*FHt+W&&n-
z0M_!p$)Bcy`$AhKHSln#x-c3T9J|u9Y%d%*yRj(crQb*vIW=uzDTnPo3NWI#{4LM~
z<SuA~x(j)bo>Q|SwpQfzMlshF6_cJMI}?X8oSlLHctxp4AUF}=yH87dKY(n_$>Bq_
zESqeb3Jx8>?NZ5Xb$K_YsN(eHjMJB<ayq*NYp~N`iekrUu;Qa0T8>RV6KUT_N@+h}
zB85zGGT=t6Bx3}O(eqa?)AK>>0LeLTkLHHH$!<<^=s);X&F4aM<mB@YcH>XFAsSH$
zNCuY`4=q>sS^0emE>718v3sl*%{aj_ZE;oeZlcg%R7bQ@Pl(+MZHL*!Pl!o2<xYs%
zT!LuNc|y!lE-lHXG>Y`(oOa(u&VM-DTEKMFApTf%kBWvLyl*)m^-A@bEqEc0Ju3;z
z!*#UzOs8}3HKg^pSq=ACVY3=<)Z@ixwqae_+UzwdTN}-Z2Hboeny5`r%uVCPdgT^r
z?y)l9I+1&>tIppfzsU)G9!9AfgI^!R`ozudv&1yemAu*EPkK*<X19{~DCS%Kmr4CM
ztv3DCqhR?R>2DB?{-V0!Wp9JRu1LGLZMHt2*;{Mb<4`=zC~kO+QHGxh=4AOrnUV5N
zicY{1JjqqYvA?lqUsG^?&S^|u1(kxqrk;~8k;%J4+hv&?&c<>`nW4sV8KEM<<vc)j
ze3`B{EFzbmwrE`b{W3$1<TBfc5OcNT#N%~kI=^-i`Fz75e1=n!e5|?ilHD=`jpTBH
z$M}OXUB6%vdHj-rcr4FC=YpgM$_$kASPwCS*^Ay$z7vGi?L(&6y*>~70y{^!u>nFC
zIdS&~X$98NHeJO*-)CUNp}8nA=sVijgMkzDtscd7@b#v82hY~aQ-!X8&DyNt=4*W`
zxkW+RKSpancv|E^+Lxg@&)Nuo(v_nyNRvA;phooBr2L0gdr`5&_lQ1!(Ln;V|A4l`
zOyU8WWKzz6Y##Xx$Wd-@mySq|^_@S1%G)g!tNa%WSeR4!V3Q&#&P@@9#NS~-oFekH
z`3(`R@=O{6oDrwZ8>8ZM6I-`84!#YtGaLdN6o<io+Wu>Qb-mT=zyt2{n7-k<{={^<
zHaR}kY0r$~yFw|?odj^-3T>Y7^&F(IxMBegQjeOHn&+ys97Aq28B%T3#TWf&2Pn6C
zq3j*&@U^9>=4SS$FMk%LavHtnOV9e^<`2W~n4i-QOz%dV;0s$3qL^PwwI>(%`}>)W
z$8Y^&D;*C{pDSxE=?ua6Xv*DEPJ7rAXFFQ<*Czj-B{|_f2K_+eb#>h!1Q+izxR_mw
z&CoGub-1{KS{zaaE`4<>cm>vAQdh?hwJ-6(Gb~{ap&cB8@1O!y3eD|eoOrBqGnLhj
zRUY71a6TqQ{wh{h=(70J9Ks)#8N!Q*EbG9J|E$Hm!9MJ>7WeM76Wof2|J{I>=fwjD
ztV@gz?bnm>7d-&b4qfa@FR<OJz2@zR4xmlfV|MSfn)REvF}W9>WJZ$AlYEE>YbTjA
zzO&BuFNd?Y60=<+$6xf3TLST)>-(ft(HxsC5JL`OY5?5NLpR7^^JO*ipMM`DLbv=7
zgJT|=h+?o6PPh-bgtZWSV$}OSKMs%FeaNM#YwM5;F<gKO4(=~sYwC`r0)Mu`dTXS=
zcXw`fw%zHCcV}vy-c57u9)u=$qJ_Q-%7U+A1X^s=0-C&ED=v$NT-1!Ie7*S$@{l#H
zyLC`6W%|HFgS?2<L>pN((!&|&Obhh!ARs4Vf)Ed%xcH+un{5PTTku0b<fF3Pz)$y&
zj*rpAV<<~H@}W)Qv$zEpo^sl7S*-&vv%o9Co#v)F*c!nAzLIs@Eqb<?=jDO*I6fRZ
zJtZF#Nv<a~I=cY184@K&D>c|KZQg%)2fxgxtlWzI#Y53&^C5#&N@Z;t0%6r)1yJvF
zMbM;wC0R_<*Yzp<6?@^&!b&6Dk9nR&N#6@U6GKz>R59-1!Ry59DjQqd*xnt+8(ht3
zyH2Viypjzs2f-7Ob0SHYwNF<V{%(zCfsS8ngj(v97fv7?<mti>9*_rrG9sOPlwoX4
z@rX{$e-v|>;_F*2n)9FT^N~Wn4|gX~=r5`VDybXbuYk70Y~nBvW0Nu5;6B`2%8ZnE
zQpDy}Ox=XFh(AqMKU{`@hZ0zwy%7p0Y<YeNikD?|csK3~WriBb>*Zk5g3<KZ<nlMl
zbp3Ux6bdzTg-+%2qXTd`xV!M*Wk$-FjH@VncL9IVeG8Ov9vg9#J0jA#N=fx&Yrq6<
z_orey8!BWI_;5B`AWigS{HVwb6%8L1xt!q#mFn5}%p6-q)3yQs9%7dE&G0BsbFyAR
z00>{j7w_iJ;!Fx><S^P%Od|EQW*GrXa9=I{lq{pk_OSg;8Tnms*sl3Zb1*dLnQ8DR
zT^k&03B&dFS0HzUU9vw++E2Dx^wX}*G$#^;{-T2z<`}dcW)q)j7@N%DE(b*rqovR0
zU@t2(Sl&<3WD|O;owTG@rt{}49H(t8BAZC#w97l$`snjcj&i4zw^J$9{s4`D53{K%
z_F)GWh$H92f=!BTpe({O@@*gt(IdBku4Yd3+xbU4v+rx)^&|5gyfsOE`D1Et#!3Y%
z3hk))q2lziy%v~l&(hhwNx1}#DXR1&rZgzThf~H#Pp3T`p%7ej$cqIQUE<Se|Bx~~
zu_*j9R*Dy)j$`4Z>6oFwN$91dl*mi|AezPjCK;pusLAHLBs~9&CxV=B6_*p4HIT7M
z`VjUdd`DNH3}Qz&T!}x>B>*ESXUF?tw2BG5ABMlP7rG8Q06x+CVf4v<p^NRYj<9XD
z(i_gtQYr5NTL6Rs{+@z&x;mrcLsxzp=W*X?01On_rnkX1^Cb(=9(InYadC^hvFeiE
zd<|7(Jvf<^E#@Nv6dOH&rB$`<;x)YYZ893tzA+8%=^!mVr1a~!fXH#9_yk$2|Ct>e
zn2Tkh^;p%AE<m<ptbb)P@m$G{^xa~`%Iq9$hUnNLcdyst0)-uZHy-hpFBlx4=Loin
zm{eXBq*6zf+@e<WDX)@^LZgd`;K!N(nit&med4GiLHWmWkrhJuN3zGJA*0|#dv=?d
zBvAM^@I^9yiY_lzD4RuEhO<_*7O_e3i6)XQN+hLl{K$CwMJa3+!P*^IX@uLU2f^3k
z?c)^qVQS2gT}@|be`t(h@nUg(g0JRdciiW#D^;mqrsLskK7}O|p1%@mgb+l~P!WzH
z>mtLk+o)*q-NnT4{GpWL35mZ4E5%D(Wl3}g=B~3Qe-%xa9+D^SFz`JQJs595zvfm9
zM}9s9KNLunr2mQHazgsZ#w6*h8PI`uipP9~t4IpQh0B*xbp+#I0dnC`4hu22%^N4t
zvJ8^0WLScQ<G;dB6pquU#R<o+fW)E;b?B3wa)dbiyoHFvfv^Dr@QtD95y#Az7J3YZ
z`44b+^K|WGmv$U+IZ?zSO8P9_A}xUT83u#)UTY7(YPy%K+h20Yl<~}_IwQH($5%E1
zsiTqMf_kF6$P~B7NFKUEdC#fIBcT$6Xm1D0lY#p(|B=H}f_(%}xUrrPi?vT0;xD@5
zXeSN#RBH%QPGX|(ReLOJog}@~YTCa>)Mo%Y>r(Cr5}RyN4j*0U;<NvuyG=p5gM8*a
z<xziNJ>Awat#&rplfJY{;t=&TD1&xhCs6?WXcGRSAmOE1<hs@W%3xQedE`i$Sa5{R
zsYP-<t-p#w9{J5dx+7R*#R~4jo6NASqMieahXF;Q07xv~@qnV56S6~bAP6s*2Nc!L
zl_w^29MJr1kSDRSw6~=AN!%2L|8yKH#BoFyHx$paU7@wb1TzjU2q(lDL@p|V0CwlB
zE`$K~xv~!V)~2WRd~9;P@BUHxg6u!Am*MP(yfYE8`aQi^+%LI6gP8g~$y9AQeE*eo
zICBQCNz~|60L$$K+myXpvjykTfU|HH5#E@nRl0MVAc})Ohw#0L+AK!mohCjmA)w|8
z3Il&+N7&5eb$7IKO%s}<L_sWb&=6(~gW~XR&kP)b!_x|oI;c6rVtgsa9hpR>O#hE5
z)2~vMDf=bXVDAPg32letl6xL##!f-C7fbKmu+oSyRgC}gPX}q*bvjoKb`+A1s$i&v
zm%>oNP~xZnqSUtbTxBcd9)Y(@;P7paX@GS)B{HNvJbHBc^833W3v>C+&!<$NInVhN
z{7H{N9TSRqU_;>%5Ldathf}N;!;;}AAx|O-{YCW{ED@*3PKCC^Y~m<|WK-@;m(3*@
zy7NqzqujbAm5~<NPpbzLf!(*7BprAMp)Df?OxLhBw46w^WepWA#@ZrL)gCmbE2v*b
zkX(L>;U=sUZ|EwXLY+2)C;m4u_{Axd5QASxtO!%g&l(`bNem8(SHM}qC5zx7T#4^3
zi||D<&;e&%0_64sd&~Gc1GC<Pp9svNPm2R)T?2D=6R@ZHf+JcNEd-(^s2c#*x*`;Z
ziuS8o9z!Dw4q;m=1C)M)QNy`*5$%XQ1NDXUOSHcFEXdSvlVQZ`)3R=VX=e4cU@srb
zbFf#ipbmQ_CYJqI$<PG&>+4V{0si{;U?0H+HR}odY7YLwUvw?f;4g*{_)jCbz>4J~
zW^;bGs|ORskQd@_Nf&H?L%g-RcS8ta=0M06b^o&x9=ZGeXHnPI{m-i)KeBKOE9ei?
zB^)25q0A%aj6na4B_I>L*Zz+#mOG#rgjbXU%Kia0Fb}Wn<@S`0&=|u7#|vAR2bmFz
zwdB!P>M8|mxflq^nYkZ*oea_)G;`ilEc)6B_Eeff$>^(-L4IKI#X+(o807MUNQ3SN
ztxXC4wfk3F6-}2j05za8PC;6sF~tIJ4-ye8$pyd_nJ5eWg}@bEZa`JeJ`S#7F>%Gi
zW8ygpE;2_&IM`pH&!QK*3lbunbTyBO4Ul58U1_xm!kC&yECcUsPSob$PBBY|Epe-|
z)#bF1J%XAsoP8l$K?Fd#G~+^&&gb}GVd_@zsSjUKYj*2h#^DW^p@6``sY<sk*&QsS
zc=`>-(|=CoY4&xj!Eic7<95L5ew0F~Sib)|RvO{cbMc|5OSRCtQpI?Uu)1@nYY5QQ
zdJMJY{0E2@a9fCGMl0+9p7#9^C4P4TcZosy%7d7diiNl7nsu+JBU7J+aXSILWzd`l
zz{8)6*(2|{EdY-KT5*+`{*d}b9{m8TML+F`xNrb(KcdiIRFAn+0lWjD?J%1-fG63M
z1MqAv!945)@Eqk%DX&M8ul)fU0T*ghrRFIgwD)V!q|kn&2JNA-MIuk%r=kl6?L9L|
z(Kxhs1y+jp4ONVpaW98WZ}3*-6mtjT^aXC&kkQK*PU9;m>BiRqVNRutnqb5Us1Yel
z<jw*MGx1F1AEXRVIQ$o2rFfyPL7~!n^1*X4j+NPc(bVY<E876o;vWRyYr-g(buY9`
zo;~+^G5%8E*ujfAPPV+qsu<^#Q^!ahCl1lRDsK<5*sr~c*ySIQ=GRcCl1w4kyFk=M
z@FXVoa3zkYi<n)ixC2oq6$>Eh_&Y<?zk{C$QKwHqL_LZ;kz)<WlS$ysidB{cfal$E
z9A14JykN?x`-!BEKH1bYb`zW{eUa?6i`$d@)y+zky*COc03vaEIHY=fWYJO8j|tqv
z7_{S_jlhGWr>G{X-URhCwOhuwjL*QJx?^ybp$89)p2(&n{esvkHd2AXi9h8eM4{Vm
z2b(^_Zzuvi!>eJt$Xflk@8DO%6hGmSCPd<Im!~(Q?-U9a##b<zJS^Ge0^F;Omo{Ez
zScqWtZ3e5e1F#tygL?RMNFN`+!lr#?(s5J)9iazLmB=+Z)M4KBNy^G5VeM7X{XErq
zLG`5QkSZvoqJL$M_Zh+Qdd~Tt3YBsQsQ;Yr#lb#;kQ(dB1@Pf7hR0A0D6`QqVKwJB
zawCQ*d`UFF(GkcAK2ChKx^{1Jgc$=i9JR@DM|jlkO^%|j6E`_t6{MleCI=(XoNRS;
zK==;a<aj!<Tr;zMTr)?`#&*?82_rMUGp+2M!7+NQ?5#wa1zh{B?9YOI1g(tq<gzmS
z#bagiiGDY%?Rd5S5vwsv(Y39mBpaiij18QCiTw>R)#}-8Vqvbtn%ED+gLa!(QP-x4
zEjv-DAbc_v@7KZJ%NQ3UEycKs%i<2AYw}bzv*j?51>ZUlX_AjYrC=AQ`OHnY^GeP<
znCil5lCS6aibW3B*jV^XBlGa}mFq+UDm;nLihNkbG*!ba7a=S1DE7y~sgn7BO;tVC
zqTjU9w4Ai-psf(N6Ud4@236B@(jE-87|4vev`|@*m(;?6Oa_&ZkQYx9<gk+N?a+U6
zZDv01tDqCEd3tPbs?*h2NLx`3qE1)PsLU4hfFhtyH$v5gQ73(<h{zB;KayR9<763)
zCG+*WJ0hd8&3WZp-Eg<ja)mP!M5}h-4%agp&%jE%Qt$SfaBLr5vK8mI<yKr=VJX7w
zcI<IDyOnn=@D0BV(0^lg<E3XaPUarzNoH*ES@Ji!ykhao8H-<*%Hr&$Sc7eQD%u^}
zp2d3_S`uS!(AqbWQbJ)~pF*a9z#qU$BVta+HEaHELi$tAJ3w0Fk3@4rN0ZH23Y`eQ
z%kV*Hj@))WzbgKu`%xpT0LefEkhm54h}B}yro~q1=ZQjpQGLabx)u6&&~}(jd@EG4
zDYq4BbIG?A>L|C}(i+=+7tH{}+4~EajvB<@s(mjN4Zl@;j<#r4`R(ww5ByM3In2<<
zb@9Sar{0_EwASI_0=QfTM{8=ErrCi>>jsdq^yZ$#_|EhtyBuQbv|p{lYQe2%1vKZe
z9{efEdgQ7ax1sXsTt}?-{FI|?_%VV5h(3Q&-FC8Xfgs~|<+6jJ?J$$L?MNo&Y{%x2
z&vqQ;j!jk`sR;e_x)6`pG!)y=vI6GkY$({Icq{eY5thj>!QdPixn*}>M63LP#R?SF
z6}$At(-me~vXr|fYL#qf$lDmZ0#{As(p4C*73PK;*q^$<+vxVsfA>7lK3z<HCm=vk
z+`HN;Yc1(4Fu0Yawt?(KcYK<#zm^VyqRy8}PPn(FLfb)#i`kvn3~fuP?V#<I|LzUJ
zA$YLo2cS|2KoQ!45c+GVtOlVkc>cQ&ml?tbh^%P%{4axj1mSbmlM6n_Uv%@+ZsQD+
z_U@mpX8l%eOznl6RrKbKfu!S#K~H<fky4TN?yJOO*U0e~edLxL{O9j~VpTN97L-Gn
znw0bRD-SiPH;FKypEaHO)MR@GuCCA9*Pdd|-$yan3JKiX6=5v|R~WS;cxZU!?(K@A
zuFdU=(8XYKx=#zzP-fGD5oobd+i%Ldv*NP2Y2kA5=BqM8Dj^m_GV>>i!F=>m<^*(Q
zkQcF<n7j3)cbH=EmjXEv^Mbe!;^L3uY}Nr=U+_(xj1YKAd$+$g5)+p|mUMhWh<lIw
z%fd~n<ZN|3KuWGB6*zk?D(`T1OSBHdVu(Q8C7<PPjt?26QtEYFJ*6F&gZ`CdG5O1v
zr|?%mqc6ouBRn$oTn9;qMt@sb?%o#70v)XAKrOXvhbwW8=)4(z@E|()lM&eD9lC{w
zQdGr-=z81bqgIRlU_--nK0*}wi|T=2DjxcAXgka%j_EKq8N&@`x%-DQBjueGv00?G
z<BS%6nwIjNG6X!H!0PNvP&ffT`!^_Fmet`bcfT$()JR?zWVze(Fw;c*TB<4ZZcr%{
zS?CI#%H=0P+hw^N%yM^RnUOLk<D$tvx{tr;z6HuSFH||o#pbM&_K=e0&hAfzaPGb1
z;p~ktl8`h}@O<askEv*Q=U@lQa(7j<$io`PXPV1M?LpA_oj3eR*M{Pqx3lrhS~1hm
zA5z>DC^W4WqYQJ3DD)Q{#4xu&+hI2GnTD~+m}&Y2S?*p?X0W`UqRFOk3Hz!to!_-^
zoVKBdY(9<CF7IUPqt81z$_<d9PHOOgS?+AAihbC{1>(s0uwav7=jOE$p79sU!19MP
z4ACQZZvK!t(QiXVad!hO9`@#|rLx?8HA#K>CDN~8rGgcOc6=x*867)c7*kZ~Nla<r
z?)Os0NLNO`6QK}XbjXVZ7G2_%(bb2Wvxnb-qaJe+uE0w1BGgeNR5r&91x`XQC8b33
z(Sgx44lv0W{YOnUYk{nS;Dz+zDaGYPVhv<$l0Jle3EzYjD1$g17p}zbO$xwB%Gq&m
zl2$Q+dz1J(yP0??42<2Iq)+zE#H@n*#DiwJJ6|Osi_dbWus@N+2b0>JR$^yZ^=@8S
zWP{Vrn1*gGK1I>9Kq>1Qz<NDC^jo-qw{dTGQr7B!V9DG|G&p8o@6*M@<_mv@x~+2b
z>HE2gbJ@+<4AHSD8R}jfq*4d{-I7)GDUXniL!*lcwtEyDW*16Gw^WslK=v9JNFm4`
zollOh(xS`Di8Fg6(lVUAK3Ydm0(dfdNlV}XC4o|adgQ~%A4uV<h??Gql}5PHd7yMH
z@GX<|jrq0TO1invq_BkIqEAANg7`_qMaa6yxadJDT70HFF;0FwWq3m3k7A{GiL2+`
z-4U{DSK#N-bm_5iBGm6lH+LWOYwn3~2<E5oLxEID`ado%C!~*TOp?Bu&K$s_cuhpO
z3K4dOEAgmUcz7vQM^wD(sdN}7kZul3u()^~exmn8=+olF#Ty|bLdgS@GP~SKB?4mT
zc7RCuSS=F90r+y9mChY^4)ER|7>8fd-YDz-E_WP3$@(MOk%>00mppU@*`5=J*Fq%-
zuVQn@Wx+mz$HZ7qh;Z6j!0;DcakS%lgXWIA!)n^USkv9PeWEOPj)%=0DJOVtb@AE%
zdhtC$x`TY?J>{`<V7=potv3dH(ic5R9HO2EWl%78+y{b$mu8XcIrdKmyDH5i*43a)
zf?KD2RiocOC7|ysLAoPYWX<936OhcXt)iY&epdlSp=d@dtnrkeniH}saUi(xH&6Mg
z{UA?(XQn?Pp8O)nlUP~W8$GVvaRp~ge-_6Iai-734aM{9_n@`Kgc<fQqX%)2k4uJD
z>!)+h7OvLa+2FVmyMI*c@Pm&4RT$1j@E;8W^gDL34quw7;tt^Bgkw?a3iytkhmDJI
zM<!7z(<oD>b*ajf9fLL4U2G+x?QrJsj1)@6viUTuG$KqD!@c}<Y)!j<d#U1{89h3E
zLuoD4GMCQ$kjLflgXcIQ{-nDP$NXWQdQeybgi$WwAhTKwIwWyLbTd)tFRF)Ji5NpR
z4Q+?n#1RI`rrg0On@ccs=fNmPxwMpT(jwDS#o2wUInjYt5K?kU0n>3~mhUH{<wPPS
zV^p*lCyPWx-vZ6)3hLJpB$w|azX>bF8@dXgP^ZmUNu`SWU<xI~;P(?N!W44`BgIJ!
z4vJSmQNkrBK~W-nkqmS|QO^f*L#g8McLqc~ik}FGqECwhM4c;=oDGUbomv8o5`7N<
zNo~}EO3~c*%KP>U5Rl)%!f4gcWZmE8eXGc9S~_Hvm||kDBSXUQKv%m#r3C2epkN=t
z#W3p$oMaBV!e4YP(x9s{&!IleYR>ON^~j(YuF5}$TCg}hmUwG*?_U0gnG<^f^78P=
z-4`H>y0$JrN=?P-&XM<RB1l7-3y_RJ|C}Y@4!qC3i;LwB7zLpb<$$u)NOT?=8949T
z3xmvv#YytWX+G~;fhyike6bK}KXQ6+knW(F^PXan(?1FJRGLG{$f=V-eo*j(L9!zl
z<nn_^gYE|{ary6^f7YsKx|{*1ftkT6NGr}IOz>+#B4Q=E0GJ>XWud<in4rrIsLI)o
zAWT_IOmJ^U_$Glt=9dT<{4X9Z6#|20^R#iyscdz*`pkB!f*KEJzmC=i0WL1#G;hD+
zgEbJwU<x<R?qC_k(>)nacgKHH0NZRgtidogMdNnB*bYgdR4ly@!b&52HZDGlv;(Gj
zJ1KhDI;!*w&>koFc04ra0pIW^T@@UT+5+Dwe&uTC+Mv78YSElUbO(-T$@`W=|HIk&
zM4`W^9%840Zx=(`VK#B_O|mHmzS&%YY1aw9Im!)?p-tNDfN9=rs?@aPgXK09h(m+r
z(AXkTqhTt#V6favpgCQ2{o13!axcP4@xCD;0~<S^7+*n2H@*&7%BxdGO%UKbu|3Qk
z4gn%}7Fd{xXAvJx8J=+X4`HQvp_Whc_PJ>4bcdDQ2-V_m#5>Zw<vlxhS$_#FlV{JR
zdBb0H>u@-B@M4ZbD34kd{faZl7^&kZudIe>-xarqSnSt6MeOpANb_r`Q%R-}>|LPY
zB6vzd!$r(4RosDwlZpkdE8*`94d3r5fritkAQ~PX6F)a9azp@mGWV2OvC5uQ^{09J
z7F>~H)EzFVqfa(<3y|jRJbaGof>w97KGAD;E}g}<+PkF^zWrV-Qt#@~gzDo{zpZyQ
z=1T%sGTqy0AOzia_zgyYW_YdY6j`hP{vG^Um5YbJy~J-9NyfPji-r@wDW+!^Vl&pw
zuzlPkWwDC;M;Vt89P{h~+Cr~?I%!j{e+IL;X>Vx;%jp{(dWtu`K+(T42R0iVm}i?~
z8Y(4hbKD;6BM7Lmo?P%A{-PV_fZH7NR&#z^H>Uf-hcxrs9D$TncN1T&uH9Q4VaCL6
zal9`)YWEgLQP+uE9G?o(P-csR5opf6`hr_{Yuw^!xLEGl;&2(V>Lq&`G_~N^rbtY6
zJ<`c8P;w7PIOa*5d4)LU%h3Zu0#uP#Cwk7#C8la`%EoStuI>mju8PlO^>2K5B2F}-
z_eIEL^%Lxm%?b;W$?9ho{ibQBWwQD)v=ut197sL%8>pI|dgxnFi{WUfd<&JyYKg`~
zWNoO9w9NG6v<j>1*<%Y}I_&A#L$%jkvi*;iN*n#Afh!)m%E}lxjO}{iab0;=&2C!{
zW1Bbf^5P=$5cYh{e$Y}$)qN^d)l_#mcH_bjw$?hW`8%^Spu^0ixC3$q2SZrHNcJRT
z3rn*l^+CVpAku8v%AjTnH{58n{B6)Q<UMGcI%B=Ro@NUrn9HpdC?UhX>?|Ar+-1Oj
zyyDg8OPqJ`+W1m7T_;1=X{ohzepaU1ol0$bx`IhXCfd_;Gp(-7ua#CwvHc3h_RCV)
zo?VJH*rt;jg=5pH7*W<zYVlc4`$keq3!cdoG6eux!%8C}KEWkI@KpBz*|V5Xm`tn;
zK>AvzaQU+>dYC#$XF3@44g7fb95hE0ME(sw{7E-ABa{J_L)4MD!}JQPMKidt3|Q<i
zy^JXI7u8ocsXI(}L)&3Caky5pDYwI9bIG^E<R}-HJxeH#)b@T_J#d_M-$jmnIO`NJ
z9W{t=J)j9i;;qk#Xq7(?CH#hnqf6)Lxdt-I<10Jk^%iE}noK$6>xwxl^7i>fgDfdV
zEwW5hG0P1<khACME;8-*tH^_~O1IactLbttxT<BD*)vBITUg}2m#RpP_nRP9-A|aN
z8a@R4FS2g`Q%ewfw7JZoNClOxk!)x8OW!75ID`wULLj-T>MQUkaUYfaVRHQEl4~y9
z(F1|~l#I_hQ|3>}zUr8eRD%#0>&XRy;V-(XXb>3fE76?dJaOjO?>aC@p+1}FQ$*o8
zU+T%YPmGhNo=Aox8zPa+TA(AhR&Zlrj5B`stK&RBB6*p{qz_7z#iOjsjI#ek7Uz$$
zmN`g$&f+lGabvrH!y8>3&O=_}M4yWris#u^fkO+9dS!$-Q09)qWBjo^;>YAgi}kN@
z>nMcAHlEd}Pi(;~lihlqGEB;60xQjKh0k;qSQ50_y-KY$$+J;*E9m#@wU%5OEI>=r
zHDy~+Uxu@0wAzSe+7ra}lMtu)=s}339{bW$Wr)SVWwlNX!j5{UYXKg&r?6VAd7g)r
zM!2IWK4o_z&PJ8$mAy{0wHbnk^_8n&jmaLqK^2@JU4%5J&7P)wY*Nc!3#Y{7lvg;f
z-4i_=J!qeVS_<{k);4#+51zFR{-jStg=?EtZ2V$Y7Jo|Rr%32+R;zyJja2dzbZ;Rl
z{YCZ3D|LPI4rn{fD!#svtjeu#Y)<*sH;!_LM=6SAVLz@sco@4c<=ovs)o|7?V6wKJ
zLGy@Q&)h;qi&2co>#C1KbGlOcbppxd*Hs_IO7Yfw#5IjNU_>1;IUrty243&<w%O(j
zqK+-Dgcw@`#Q4*c@zRO79}~mFeBsMd<jVq!G4Vv)lh>6H=bl(8UYx7XWD`31C5ICO
z5y~P`M&zrGjHXU^K-ouutu8dXw{5mQpXF{U$<Cv^&|yGRE|S*bJWzX5gGzBZfleSl
zlhh#SOT=j~G06*bB3y|dw-Vu<6tCkn7_m2S8VrAD=dGR%17mli>63lliXjMtK3;u&
z`2@$VAlOcIeBnR{ib>l50LqmvTCJSQ+dutr7X%zP8;F%4p5<!GT1z@TAee>*Oxbyk
zd0cFNZ92FYN=~>yk}xc#xR|{Fo1w#53f0+O>5pF%9D)bunTJXtCn~fB&yw6tWwj$)
z3!eV?y=8{*E+Q)$s`^;4k04aVdU8Qk_=|3S8dNn%`s2U1n)Syr#<W{_YAc`qxByf6
zBJtQYa{NUfxg`hxHPjzi70s~)<q)O@*3wQ;&~**<{{@NA0kjZ<W3Hh_G1!U>+^}F+
z3&9mer9VDky(u@7{SEigxT3DDqjB`U4R^mT?yn2dQ08bHBhX@_78B;(S#eo}OkFPC
zd>C;E!vc29JP=;%rOXNF!XPhVH8B@b>m8=R)aL;?5%YooQC<8|oXs*Yv&95a4~vM&
z1cth#BOL+_r@7NAM1GSK8gpAst|wJF>!2DBXS31T%vNb5OJ6E8e8}4c%6)MPe+BsS
zLaa2xV^j~6yL1vEzag3hI+~C{Ehqf@0Q}&AfAJ?H#L0&j*3p)tM92?YEn1VWHen%l
z$D!Ych(do+Jwi!^em?|lhuOrTU&bb5xWPooe_Ljxyptj}i_FK|Yl%OlGa}^b8)XRi
zdIGDn&q3jMkSlu>ikD?|I1%!Hml<j#uL}|(uO2l`#IL2ALa%^Ip%_C~=u|GRfws$X
zIhY9f;4&j+OvdGteYq8X(R~Y)aXvZVD7UDIknR3dFz4GexerDXk|qkCCqn)sD!OD6
zAzu_N^03D7LzL%}+Jm6;hbZwUT^k$=S;O`AR}>{eu30Tc8Rm0{LVwXg408h74zr2R
zG>lE=a0?P4Z!0rc-cQkF!`82X#q3MVbpD46$7vgc$ogrVc6ldTAAR1*QEmrFgltn)
z?8D9}5J%331)CI!knf4`jC>ywL-fcEsOK{$x=@LbznG-Hd^`CISgBw|p<VEZ%2&)z
zk;W92fnGnRG^|R$nKDM&JN!n3LU7R`FBVvIiCf6ONg1A46#g$(iWi}dC!sTR%uwJY
z^ionv6prt+!JOe1Ws))akD6@u0<sE%mwT7(1edSif20_@7grFQ%E;j)#RxkUe&k)i
z4N05I0y&ZbcWf%tawf2;jK8x@<@10CY*U#&EzYL$75uzOvktF!46*|(53WFN<nsn;
z$Vkz<>XP1k4W@<0dhjnP=kO19LY8W<>_}WgW!<GC;B@dt94phlF^%lTXd@GNIBo`C
zFKhKbwiHj->%6nx$I#Ox^AJw|%H&>K@*#aISn)7xVKYRBlHpnehOUEa73(VeC=S~(
zkWa@RFjnyvF{!*QNTt4C;FhtXPq~}y8fbJear#1~M@yQ7tC&k)0ST#p78g<>QXici
znQL!!d8stneMk#DEElaeC=0w6`vj52yplz!qt=nfGT)WLUlD}89V?A+lk_0-S{%K^
z@+yBcg(VbSeFSP0gkvJQLe@n_SAR-Hix1!?hTUIJ8J>{%SFuvO#8oaNcfjpRkMyHx
zx^z4zap%C1SNWCDuers-5uG2x4+T;s>3^@doRB`UF-iJrvUA{=;=rbG6-lwR@byxv
zj@bIwKrY-3<0q)i_aw4xXW$!_;7{ZoE28Ve@zdf&*B2({Rdxlf>W=Ff1BKQ3T+1o(
z^q7mZ(M8F+d>Y6@M`_J9Z1}9;DYEYGvM%!_&d24IpUAAsS4kea0(8$o$IGA+gkiB+
zmp29b2%b)3Jt3TGXI;i$bj8t52@aZd`4+2bQz!N1fbQ%IueY*!CFS5y&&6kd?vR%S
z=??Ol_ml_jf%T3H!1o1vD$Swf3&1W01+y-{D@b^07P%gE|46W_(mYDP!|P&FAnWoM
zf^<i)$O;SG2QQgnTSc|A8e*Z1XQeL!ibAoDD2s;+)tr!Bhy!ul$Cf84J>j33Nsy4%
z9|w67D@%J<$(41v;Arc=$FV{jC3JB^@jQDPw6>TK#adq+A<hqS8PWRwB+lc)^}RdA
zGGENQe^e{?{f+~r7|x!8|0F$VwKVfDKbemcPGhOJ!FJ^2#$1d$GKor=j$q1kc&ajG
zhhYu&OqY_-cDS{Eatftld3_>Qf|t6`J`XAeRDOH;moJVUoxYE?7t}JB*!*nC1@MFC
z6eIqmyAQ`qVji|om;(e<E`VW^)uKP<#C>yqigBDM^cU5`(?l#Hn}oK*Y~o0SWK-@u
zmdzy?y7N4iquh4OzijudW=996L5Rw^1x!cz@NI0goJd6Fcq&?qr$r*CuY=}v1@-F)
zlFLsZ+>e#w4Lx*<N9A9BFohCg@H>eWVTw6}k>Vr<2gNHOE8&upAS)5RNCr9}tF1t8
zDE~74&H$^g;wQ?#OrI79u)0hpEk0_%?O^#b+c^WFR)U@ZZWLeW3^_%^+bcWsk3oEX
z^9!R||1RtPE<5vrWM|&x_>eF>5Z4N*lmKz<8|)*vXl6aRATInx*CGw#D)Xq=I;%Oq
zht=bTVpxk_G)#fDs>EBXdpArFW=`z=%nQOJci+z}>e{-WS(Kgmx*!c@?q@Or{WF??
zMG!*S$;EO9+=38_azNQ{&==()l!3D|KR3vXSUe?nL32euJ97b^ax?M8LbCk`>&t_5
z2hE)K6pOIFHrP{X4kaV3P6o*%Hu_uU1e84(Bs+pZE<cDg=zh==m;YM)C#;I5%Nc+g
zm>HacbY0B;QjmyPNiG0($V6G_F9dezas#Sz_HW=C785%h2?lZ!Kx7_@0L1U}z^M>G
zESqSVV^d|TE8OVks1n23e@APEI6kz5^ECg257s~;gE^QvyMtvEPgkEnJY9+ZqyW3w
z3ar7fI7Q=jz~c5#p;Ro<_r*#hd|ocb;&#A1&7;x7*3qXQgZ4N<x}%{v4@ieU>8jvx
z*%nAgkt|m`*OuN{R*U9*qPubpq&tHs^cU5G?NpHN9B4btCJxd`HswG%n@c{B&QWd$
z$kS|7r6wpJe0OAlI5hYUjV%&g+M9|l7<_j-G^eYsUwbt8?s-@#-ZvzqP-fSN;wwn6
z+>fsV^Wj}7qb8`ZPizl!heL(Podp(V;@QS`rwmUx{C8lbc%hch)BMS3>U4*dT?^IX
zFYG(=H0M1#cUd2UmdUf{@-*Wwx^*}lJ9sh2v6Zh{75$1c$QY^PD6g!BXkTTwhgj^_
z{+!t5ACczQP^XeiA=tY>%|-B(gqn+(U8=YPH76AdT%y9?8EU@g(*$ZxpMt1)cuf4^
zP?0hb$djpJ&5G6RPvGtNzCTYh{>-R5P*O*qZ0Z&uPxD!q%+1t0&57FdAUT>(j>Yip
z-b~m&K0ou5?S`r)lQ5qM9M&C!-x>rqhIh4&lePNq*}?B>*^K(_C15^VGR<{vG@O80
zF+4j9o3SpK?Uf%T3qbNe$UuX@rz;9*3MF24(WERrTL(=qINBldwO$2{gL}ryTAU$-
zXN>aU6yh0oBUDl*U#lbG>W$Y|u1m{3X-g|1Wou>$%$Ugg=OpK!b&ZETAZR4PoWpLJ
zN)48e-c-M>)@V%cqvycf1#)0cOxL<y^VR}R(L4)g7upIPc?=|QeF0R}vS9L=$rYpN
zc`&D-7F%GWHnIe+gE0q3L!sQrQgo|ifvBGpf_ieehV}Q1LG8$)x~~O_xayu#cAB<x
zx4sVB^g?F3-WKI<y^r{1>b;JN1hn?8P*u~~sNAhCogIKHN@25mkR>c{tJDE~uS4W*
zwG}|k7;gAsL~nUB=evQ39*=ojC)%y4=H@v}`y$e|QkqfWYFm{nd$nG-a&hyPrphQ(
zrmFN{*=LZN;p|hKC=tc`g^4p3UTIx|F%ucLll{kOSzbj9jR{^cS%={Mw3GWKYAWXc
zJ!AftQkkFq9oAsrwHl8Dye>wjwCt|j!D!z|N-56zP70X<$aowp$@m7`sw3ZP`h%G}
zKw8*kC&IwI?o)SvIwoNHE_6No)am~NK6wCb{7LW02$w)I_=L<uM%t$$KzrY4+L1zj
z>U3|Y6pT&Qbm~)+?U`D$HJ=J-uZ6b5Y~tvUWK#~%wz=d3v>oNr(z{BdNKXrE_gyq^
z3}?S2wFr7+@gm^=P|@&<fTzwhTa~KuZU!Y7Lxq7Xby|`!meOv+WV4G&Tq{tIT{Scl
zj4c=6Bk+cwC3DDQTpF!sVc~NdxsWsvy2`)$hd(9R$nFLcXl&51^{qLYNvn^rRJhgD
zh-QCL193bC3cDh9cdnmo3W|pr$E`*(E@w41-+Wf%D0g_2(nuEe<H|!UV)s>SCFd6~
z8NC>PH#5#kYPXcLlG-h9E8*XhmB44o6ta>BfO=hb{mK#+Hn)=35Hp-sf<Ng!70x7<
zJ@5#@`qmuH`>a0vqtWJ;2Z?5X(Lt=_{m^!paokEI<8oGF^UY@^j&c!NuPa21m7p>W
zXLeu3R&s9vlM}7vyqWf7y;8jx{-1@+G?TPvd(CzW(^T3s2$sgosPLWu&yETUp1D@f
zWiczTZQ+#JAEuUlFIvmOqUSdAZDNhnX7HyZn;B9Z5hKvQGRN_2t98E#Xx8#8qSjw@
z5Np}#q)2O#EX!Go%`u;~ILaMgLVYAd`(<i_CE0WoThe0%0!Xx^Q)cRuO^Ci6ftjBl
zRK;aGuw{m=3EdNaN;c7)a}tPI*J{5qMcL2s(41%Wf<Ng!EykR4q1A_fG@2EiPc-|B
z4q`<YL)&4-@i|8_E@wqH-+Wf&D0gs?)<|9G7ZwHkuzM)Bj|~N^O|*|wyK^%x<0uS3
zp`Ob^mW%I!r}SC!gKXnP(b^OiF`rwWPt0)6E%?)7+s13GKKu%=*~Yy@v%lydwsAkS
z9cCQ24avBiZP<MC*@mNBaXf~~Ar&Gb9wTKM&g{O5t>o4MCMR0SIXBlj;P)pWCNtKy
zaSMD=*<~-g7(W8D)fbXcWI11q*0rz#aLf5TG015-_|sxr&bO^T{N|up&SONgzvv*A
z^Id2=%s6g2l5si9vH9k+97nmM3f-+#6R8#bgi0{e*u56p&|ep@JJp7|Tk2a|^)9@V
zT*8J#Wv2}pKcWrEFC@3fhDM%lYPMgM!m7Y+Xn$zV6Pe*pi)};4TYdOPquI~~qS;?`
z5F2_Lv>j#~w;{>6oDJE0^VyK2T(LRiwIafXWF@d6yVqhH+P8q+sW!A_uG4FGo8@ds
zRCd~s@gv%h{KB-MEL!Wrs=#e%iWmg_<#A{HX|ZkS`Boo(!_aK#R-)NobPyYQ0kj=v
z9Je9KxSS2yeDm3mqg=5K<+UQhhGZqMA-mUN8=5F!ccKkVG@9LBdvm8YGY*j1_)T-Q
zR<AjY&-bTKOGBQvTo$%ps4U3H`@3m>ABxu4uo`judp|MPX@B_BV%y*6tv>ulrP<$K
z6V3jjgV^8SLfc`+ar={u%h{jJH=q4E%AH&k2YMAwDoMY58(^I_O~uyv-U4CdtTWi8
z$Vv3mh`m{U3k6R>L>|3=G@@0WzeF7U5QlcuTW{Ci0eM!&nh=mzHZ^PA@rib)Q=cGY
zeyma?ze@cU@IG~1Nw%k`{?Hh-gqx6dYhz{(h9TBvYi?%zx%EyP&ZZXjCCjQl<X8UI
zTlLMgUh`%={TkJSEN}KAzjpW3?2ZF1c(Q)HiwCd9*_Otn>NLO2QJbEw@Ji%h8~grF
z7Ik@y07WaAzFlP@eNVRE$uMQWQ;_&i)cGCo4tU~C9J)FHDhtblmDQU5uA8RY6I)=C
zZujc*_sol@m|-=ChmF<yiz`WqxK{M}Uy81y8C}(~bR7b8Jryd4&gh_{JB;-sh9Cz9
zS8yCB$QlRVHeYQV0s}b={?ncg!KQqEXw>3?uZ{lddaKugv_$haKquGrulHG8{5w^b
z*jHi1OYxAh=<>2hXGeW>nO9$=T1ba{qsfSBqb|PaA7xV-=mhkrS}u*zv!k_1zZ!G3
ztkwVQ61y4`;G%WkWUXJQ?2>@LfHYb{Y?_i=?mID|`zMOiSp%CP8db8R6*#*IkFko)
zI|`hp-nRyO*Dcm9Vb!k+da}!*(FMQvlF=1|-5@eaQGWEkn9k^lq=<A7`AROh!h1fa
zUQzGOb>K_|97e_|gu*f&W6&4f%BDJ=8Ry|iWdkI@qGNlLqe6EEYD21fb`R1#oV_wy
z=lI<D#FO4Dr1Z2I{)P*t;E2mM5dd=Gh#9B?keCorvsc;Lgix`=M2oM8ts82CggaZC
z-Fn6P`P|xcw=QM5$h|0Ozlllv4XM)3UXL}{@pQ!}M{rRsKA#@>@aYFqXcTAD--ne(
zxC1PHRps;^NU73{6!E%>66X}kPnhDM%}Dw52W<%~`7<eeqqi462{npBOup(x{zk5P
zAEcti>M+EYq1v=KbOl?P;#ZP4G&Me+GB}|Wk7A_}p~67F<HABPDCUF5cA^F^`&te1
zKtABAq^Ks3yoGg%fKyH3u5g{-ZWj}eRQ>$rdv<<5m}P0tQvih8g87#A!cX*QEq$^t
zxU;BugvCaUvP*+YRBFnFSqz+2dNH6V@rM8Xk1VyYSsxSyp@F5#aBk_M*Dk+UIT{ox
zZb`0(vPZ~TPXMmpE!T&7a#eorTK~%Qbf-ujq%T1f|FV;@8EXl$fcaL>3sUJ@s<`M=
zelDv(ql>vz2`al-oGfi~r{&0DTsVcxk-aZyO-#?hVQyGI^Ke#%rq17_s%8_|$8c7Q
z)&stL$PUFC>|*Y7B%NB|eWapgta24Bmbw)<gbo)t+f!4tZklLM&&{Yiv(e=h?Kd&n
z+hu8A4g*)TD+LZr)IuaMQA^7-D^?>W>X!h;Y@+@{{6rHqeez7yoY@c*l%A}w1aaV$
zAoQb}@X)+Hx2V*J=a-(bEpoimHjhyPQ{M?Td5AX|L&ZPFVCC0=b9blH?gRz?)rNBI
zds=nG${_c>)IJJl-w;&2@aysq$h!Sc?ckw_^8wf#$7q&%lbkInk2|rQG4pM{U#j|R
z>L@G0{1x<v$?*?KuDPaF&lB?Rhf3f?W3wcFCfG;tv0~N}Y~ALvB;qf6B&7|So++a{
z!_KFS9nYtI-D)gyQ~MEE8>pupvfQiP)RXakJYJ55)UMmu12FT17s3p{o)a0){*f4K
z_3nN@o^i(Xm9F>#-$;Ltt66QML&Tc+M!GVi>_OxTYGHP=`|h>lq63JEA-blTtr#<<
zWeriI#W*!k#9-D{3Ws+BLPBeM&I<8Vw2K>x=h>@)LyH-ish1fprAudB+ZW5%qM58H
z%()N6Mhon04?v=Yn*aw(>y|Ub7yXTAHR=;v@FH8c&QPBUdWbpz5IT?tF-EK1ql;|}
z%L6c$U8a^n(E_w2^(8wRb!9lKMyrfKV4omvpM>~SK6)^|QhDfyE~~-Os(P>9=?eF+
ze<it1)9z_0tQIKJ7*-nLPNEoEJP}o^QoRy3LtC5a!2VSL_N!|=6Qqj(JpwSSP-LRL
zYTn3a(->bcy5_ViqKBg&F**!tsdu8#Df6>gm%tC6^Tqg+J_$J-qWNycDmH#067i=g
zj?Gr9erJhP@>}?mM5Vu|?pIUau4qErVOH_eSdvw_(^xjAe5bJ-<qnTh6v@JVTzT*?
zc3;Y|J60@&3}0BlWRwR7N6|crAkJ@rdj>k5PDP86;mD1GH$ii{Qu=iQ$>kZ+UXPXH
zt@(&+8g<;t!38Kz4)EDEcL+U?Ev|$ZTLakl{*>{O7~e|_5A%hK5&5#fVoZEo`R`JO
zC&c-;SSendtIuQ;I?2o7#K2l*5h){@I=&N4o$i3LTcKL~Ga#z-C@=IFG#-laK<!Bl
z{<XNAux8|Ek{Seki8xgxCi$ej4H4c+@#gn77<&T`3nTj(V6y+I0x+RZ9>8S4osDa!
z+qKE@sZM)le6l&w8we|**CiEVa$ae~#H48ez~s^#U}831MH1KXr|-t#;KD?&a%%;1
zaaT^Ge+WiFOn?RXEauS;L+wUmW|;^p!ljyDnnrm%2sLg75Gy}?EqGMc>VJ3%04R)E
zqb9HUv%w08+Qa^x9elFCHu<+va>50QgkdPf#q11h#zJu_MasaXuh5+pSc6IZ<8tYy
zeTi9jv4lB<Yl1`Y;5t`ArI6zk+JczErBt?|=sbYE?dVc)J|;!}DppqLviQ>+Lc7cm
zwh&p-(9~_gK7!B`>&XR8;V-)RY0%WJn)NfTxMy2eBISFmX8rMtG1V4gC`i(L3WjnQ
z@z^zT{6!zRB?o^#vv*h(&9MdL5T*v!&rT4~mCx+|28qzYwGe}2@|hLDfNV%s2;qhS
z!&(T-)(54}SazDQH~3_l+CPOy?oK0F)U}mH5+^)CfQ$P-2+~j{jU*$`VxtB%=G|Fw
zS%gSkF5ZMlhpgG$t%G_gQyxRVXWEfz4zZe;!=v>MQw)9;kP|U42+-8UAH~`1C=m2w
zf~E%-#A5<8UD8nwfrQ6!lL03eMtU~@8VF}DYdt{UHqF8DT8zajSr>MY(fh-5X0;Ar
zzAb`+r>7*Yn_N$-adsT4@Nl*vT9etTY-H(6WgQ>#c7blsPT{XW2R34*5gwm<pxg8p
zi_gR`6i%*zLR|-&!vOQHt88p-yMe%7P0hA8dkv+EUD{ZHH0E>lF4H?3?p5)xJJcPI
zW`T|#90j$UaPM{Sg9q-#pN#M(A6l4jFAL)YR84`Fv=D+%dRB{mM~_$?hk9=!3jIa(
z=p+^Dy&2jLvx!5!j7`RHvwv9){9y~MW!G6D#>>l$ly_3Z=2cAHM06qkG+F(+G6dY8
z!0PNyC>#%JWv_?gWm(<dd7VT8@S{1@hsz8#lGn?@qy?ktv)T1umg)LaP$?8&=n9?6
z<<AblWtI$qEA$N(lfO}Bq>Rb9bh7iJ;V-&xfif#AkKJ*PEn7#qBO;xvlvF>q229{~
ze=3mkZIWDDAWigS{Hfw+Qqk~(-j_41pi(_s0cSL&@b4jJY2RG$beeEp55XQiwZtrL
zf_7Q7qnJeMYt1qOg5d5;{3%&R-g?*5Od0uIaM-T-#^P#d&NI{CPr5cZ77&K(?XN)Y
z2)kr|n6y`{7X7qqGtCH5=r1~mVIB%?huOqu8pbAbxXS@S6{Drk=3q}QGg#hF(PYEc
zu3}E7Rjt|i1!X!vci}i~0}$DTX`FU>CtDwV-pNt!l=5~e`Pv_#5%6I)RmDDRMS(bS
zJ}lUzcuwPr2+zp(9Wg|Y+;BRbIni(D&-!HF*S_mVZXe&3q`rLnxQ~?zRutM{=0o{$
zCb%JJt_5b>vvbpM|5IJ-j47)0B&IYd#2Zq^NPC5^i%<wII^@Lyi!O1?_+u%<6N|z>
z$4c=c)UhOVhK?BuoP=IVN{QyuFGtfjz$9bzA2r!LLc;UUcwqRX51%hCC-#n!u}S(6
z_9gsYoIn|p_KpQ$B<1YbJEm1kVDA`zXM4x1PKQr)*q%Nu&ff8P@R<HU8^&zk6yC;&
zPWqR_4}pXM_J>b$wO3^)-{5s0j7t$OSx2WT5iL2Lc7<7#s-3A{PGqpv2z@pU>R^zD
z9x|Fb9Nx4XmUa8@UOHR9#1CtKb*+!DELv3CmEnT=8T!?{NfB?#zfJz1BzfrCH1_Pc
z9uJiOCyYHwe|E5s;5HfS31d5ZMTx)Yilc2;?rA9}(@D3hcWqfd+iKd>$<q56tgDnA
zjH_LIzD`Iq2Ug7l=??Ol_mp2n0P7t$51tq7sWgX@ZyvZ96vUWb5hT1ci(Hon9td_-
znn&rE2V6{o<e38Uv=O5B1nG`okrfEIcYv8;TSYy)oTETd2xt>KqPWYc=7elL4#aU0
zL~iMNJc46!{N*4|Vr6MBar<mhp5hT6iDQM>({yn|@jTlXT3gIL&3#-kgxJXB@}Vuk
zwVc0&TY~#s2}z3ZDL*{A%V#*b@8|we&Ue`_u$STNe|Tpi2KBpl7B-J8z376N`cuhN
zZ4G<>m32t<1jz<#>_}g)QS0F$zaC_VgiS5rEIcg<$D?bN?%XB_Rp8Gd<aKQpZ$dyG
z1AOI(-|DHLFz`pV4~8{$u~e?1hjeQAZVn)w?amO~lfVLyz;y;TbrJG}I}^<rc6~>R
zaYrUmDbp^`AZ1#G|0KOuxDsoyH+YnUw!?Lq15zjz%j^BH(ugos4Elblfitiq#=u_P
z%{rZ{2HQ`STc|?8P~w_~RJOI}DqG<NWp<gX=iEq@aVwv%<lj;hv@qWgJvx0s{a;`r
z&h6A=pg9l7jX&uUcg!Lt>RY&-dbZVK&>@NK)Qv=;zo?Esq;9943vGwl#6fP!rrgGm
z%_Sf7>L|Ak!}n;Fk!sLSs|OQ--M5+<eVatp0;VIt%JDR`oJjm+A1b<FH));^&FKp2
z*AXO_L!q}~rFcURZ71-s1{i#I3MB+ky_{GPrkFDrDNbT=P`u)DgK)_rI0#qb4>yVM
zMKaI<P(2IC?FRrV{G9<*AHh!qP|>Hw0jMs5IlBpGRO$<ZQf<WJE-;Tz!DINHQSqTG
zKaGo+Ar}z}ItGBM&hs`}?O^mVPSFQ@q!TVL;G2GgS53of+K6G@z%Mp1oIt~_Ae|Cp
zl2|OMFQnUHurP?sZ*pN2>k(PE|IpGwu@q-)D9guk#zPIt3KrC%tX;K|LK4PzrZB!Q
z8JYlTeFrKfKw3W!_7Pkpvz}a#7XG4Zkp^k8Rlk47!UaI=afaEP->d4eLRNV4o}Ru<
zS+ouTA-VOt8x{yNC-z|YG2xNB4~7?YZ5<3pFCvt21^r=a;b}n{${Y-51o|f=0fXQ@
zm&Zt*{Sp^t5i(H@DElUAU>-8r%k3#0kuRwA3M_1$I=Vi{j9C06cQTxHm7<E*k}6ur
zwI5M!2k8!)IqxYJQN1nLQ)vz*BdSgY`N6`wgJefA$mIu-2Hg)@;_~0ed6QMq)c*mf
zftkT6NY{;!4+M#bmE;0og-n!%{z71dE;pbmXP*Ptu$Wlk{@x%?0*1^x5w`VtbW|~~
z#hi3C58({pVX{s4|M85^G%hwV{rN;~P5@Q>NH^$a+3IpG$i9Z^Fr0lgS}O$TxHN-7
zlFnE7U}3&i*wFA57>mP8+Xw}2*jnqf2mqX_blVd83zktl{T}1#cT;(qeFtkW>`l?Q
z9k91wrBEuC<UhwsBYaNw+;`CUd#M&BSE?AK5&m}WbPYi_KzZqR&VPVi0gHtYX0*Z{
zvDdyIqF1q<V4M+kb3o4cPRfXuMSE>zRw@?Lra#tQp^i3v8OH4d<#vPSJfIx@WK0=(
zcWr@k6vgr(xT5E$S}po%M-+wMaX6GH^cU3w?Nm_iNN79ECJxF;HswG$n@ix}oTs%N
z<xVNDM^Y#H12h6I)TT;JPCmG9O@TNxxDJgi5>5IU6<sj6?#3iV<8a*#SSj8&R52#U
z{TXt;kgX7`Uw0R<4MRqMlvvTkS5VT8uLHuoDP`0I4YuNiiQHLWVJ4nsyenmR!r}L^
zQoK;tpirxTUoojwJt3-NIripg>U4*djX|~en?igc80E6w04<YeUsknNj`&M~V+Swh
zIHK|qt74o}P8}n4oH#`L4vjs;V!!q}VwZnJnqNbmN-~9D?*b(k!IPNS!<9HnE@F16
z;trIYR4jm!<L?Y5|1o|dl$<^VQSvDAM&XfDrfJz(_z__cvtl(n=0vc7mGrR9eBFp&
zGEBIDKQronEvchVHg%2N1m{XW<$T%&t=^?<Bfe5)&kMn>ek2SJ=Sq){EIO+CF(G;w
zgSPM8xKX^=z&3^TjB2~7CaT<5Y3~HBV#JG?NBk-06^bPHJ5vb9iRn5H4&mECd&^q=
zx9{N4x?&N34Cr>j&py4xB(_xKj*4S%MX)fwg306~B)eQpt~OrUc$uN}0z|ycV0HFX
zY=(9P)PqJt`uNykVErqTj;9sS5z5=9M6T#iR-EktO)of#(O8vX^0e$EXdGAXkQI%0
zPOIU)_;3mjH;v=_8*sLoJ+nM^W2}YR$jOb@SFRInD8ApwP`oNkm#cY4YOYmZfh;ew
z_-_Oj{f(mO(&UkzW`_dHgpOy|V3$lUPA=Q78V$LOXIY~#r^{-#9{Oi%FnHN|y~C&D
zEP4nO0**Wr+RE)<XilfUs#BkuY){N*W7z5%`fCP`RLy4-P*uIQEhZ0F7=@6?{GHhu
z&_Z@T)M9I3RI2PuY_&XNa3r)i99dd^kjw|Qkz&K;J5{vn`Tgaf<@1Hwy0_3)%@7>=
zcN=uV_0R8@o{xpJId2e+dLE6+Y(Wnw0vdHER9zU2(ub;aB%8x=vZNl8`EX!ZI%#&n
zJntuzpLH+DNA#92;LJ2I!XwXxqlfI~<s3f6A&wg2k--W`uyU4_E+n?RqW!Jd?{M}O
z-o1#!{E|SA4q1kmpyfDOe8dH<X0HjL_;c$O5kDe#@m!vR!?DE`gFna^{DD*kXYa=v
z44hSzJHXju<Ymp(H8`odX&UkubEDS2k(AOb@!1qI#X|ivSV_+D;GG<&BGX@@*$BBb
zL>fwk-y%*~uR+cniuLiNBr79Rccb9+EIQT`0Yj=)!3_N?lN*mmb3<SAnv)ee68==c
zzd~~!z!rbfeW?*+uq8wyVEc2c#h^tC!1iZEp}(j;m8Sx>zl65KY~p~eWK#~XwYlU2
zY#rs+B`J<ngML~)@T7L%MYF(g_Rj@OM-AdnZTu4z4L`MU>I^J=t7kGhVJ?k!J_;EC
z^~fYFi&-wdM_>s*OXiTrIPNS{bN$K_7CyI;_0XKhM)0R38`<4pf-raMTXQt$T7CFO
zgHqw!9A^>D{-V0oWV=IQSGbGGLFaSXXR`C5c$jhAY9!-wR%7$cXEly;hes)mWMMz9
zJXnd{SFx2GUBKjIE2-U5&Pr;xxUGbLPgVk-B~!>sZU^dh-SsO=SlHZ3o=ePtu6C~2
z2r>So_f$BOSoXjp1nXOKH1}A2_(!8z$=yV=zvv)Vaxb(UW*oN?$+(=A*nIO@iKASE
z*6RupV<o6e!<pSzv6XBsU~;0BoHx^k2broD!~bhDi8uD5(s+0TZ%Xl$;S=q-7JJjk
znpaj}Y2lRFAEuW5O|+JUMbB;KuZT5Ho57!wY-UJtM2tZH${fd|R_lHf(5&TOh+2Qq
zL9FF5Xgka@ZY`2!Icu>w=Cc+@x#LTyk7Q`SOl`0vn~q{j`gDN+5-sVJnfhcC)-8^}
z%+C+1;+kz>O9)#Nx+ngWY@#`5?b)VQ`;{rI4BUS9f#y7s8UB=HKi2FLGv}<g`tXlN
zv!bJkW`EH^tY`zY9cCQ2BFVU%71@0AS&^gM!9`jlb)jEa6zs$9q1Zm2RKVIq`#7~b
zH{&vn!T=QNxh!P4_#SvlpCv!YHtNyZ6c#bJjT$k-Ik(_Xi)|avwfgWYyk;9)iDrM%
zL2TnzXgka}ZX1$uIoq)L=Cch)x#D;Xl|w2-L_9{y1PP%nJ{Mcba|)Q8XeH;|j7VN<
z0%9^_Z5y}17nNQ10#~_M%VJJZUr0ug<ve8Zz^_1I1>lzRATh{kIr!6JTh3ouefUSC
zS<a`4W`EH^Ea$JG?J(oG<w(ZmEXU@X&vG2)jw*DwQca{*^b;z<Ok?+2Y(wuXV0Wqw
zb+^>Fw(4Ct_E*A&L}jN989xHscadL6ZjlZBCR*#ls=#gNSHvKv4dG9VZA1H<WA@=U
z49$j~1eJnY$oi)7?huP7U}pP5+hN9W8<LF6*^tdQpA9+66`Mm|D<W)2RstKcdo8x1
zpD(ZtZJF!z+Fdv&TgHY&Wv2}pKcWrEFH9S{C|c{ns=#gNe9}j!4dG9VZ9_Gyk0={@
z4$<r{I><aU0d0pF$8AV5E@wkF-+VUYC|7Jld98@BAz2A*$nMo`L-+2q6Pz`H|22-f
zfi7M>1FD`=!1u%nX`%rKm)o1+k@IoD&c<(=gC}6%-GEZIHRNf_Wor9{%7U=Gzng}5
zU$p9m^@$tey~JFnA>vPqZHNzAefX_Qo6O!xH2aGVVu<gBw!@6$hA0`AGenzjK0|br
zJGm$z^eUWGl79I%z}9S<+-9m<=c@{Yk+aTVlj7Cye~8$m<u9?|aR~dYw0@Qe3E)Yi
zKN-;~e=1m<0TCy3)K#}@?*JDy)`ZBsvZ-0?j!(2ZojT=%s<1~sg6Adbw}AJl<B}5Y
z!(jcPF=z>QBkk74Dn`6K#JX(F&5S>{-f6=@%_3c?$g-*r`IW!*R(*4=*Sr~zf=2Zq
z%bUH(uiZVtxe%bG-f2#ZcYC#-JbR)#&7U>F_u+UYzHI)TEb8(k4vJPXeY?s+`kw3;
z=+5DdL;S~kRM9d{Jl-ZwUmXCIh2_Dyro&HGhjd{jXTJ8flJtfvLZAPoNEtepNZAGd
zDMQL3K*~y}99lJ@YdH*P)TowYf%_Yd(_@W;Z=0_+4uQkahrxf^8D4D4=XyrPL1oSZ
zUmN|^^%mq1gL7v$KquGrul5-kJdhXpV3InwDpS?N?Tri5tB?9<F|Tz<=}W&GxY==-
zqAt)pXiZhS@Ue!y_t@JebD?P8NcADyU@Tg9#9aiu_HmM|)&Jy@x%Ls@pLLgFtzVGr
z1iin2$=wSipWOF7Lia2bkF)c!8KQBEFq8fYoVbK%SjDCk1wfN*uL<_9Tc%sKs$Uh)
zWXD0H3x2<YE_TorkA9TGgD1f|AWsnGqeJ*7aA6hRVL6pOCqT!EaeAOAi-!yqnlCDw
z>UgqSoOIm)@6dMftgcF)GEf^*#j`Hb3^$FV^$g{PC%vB-PJ`sul5$hwbN_}5rr^bs
zZ6cE6Vv$}MKrSJiW)E`RK+MOFw%{{Y>xSBJ;<&RFU-h+qKDRdAt;@GO7P%KC=NB?L
z-;pZk?D<%O9XMBfa)b=k;uGhQS&HUUXcVW-Ux}4QxVtNU2jp~o)&rmSh!XL-iV`P1
z0U(_Apv_46^apJTZ1^oHe52O_-UKy@0!O}lMgB%EUtd8*i`8L>uP3!haOeuQ#Kf;8
zZ)hU?RLbClQhWj{jR+M6`W;sgf}t)SJhl@xc-hx#kO%SsWBQ_+Jf0TTB|=IyVY`BG
zeqCHlIa2lW_p!zGJ$RYC4jgw~$^K8ElwHaG5q_cz<MheClFj1Y5f%xRzLkA3#AfJ7
z#YK*k*Hu+4U6I*;C_8b?-CtE114*5P0mA$B{#L8l#TZN-9ePSthI>`*`P4mgl(6_T
z_q}NkYtCcJCA7ta8N-jMu9S8ApW4Agf4qZxL906p$W^;@DSuKw$1#el-z4K|S}76R
znV(kAsan72@29RnSqZ<+{xCUSkz8{v1UyNA4uneJc4CtNjRyM&zRkya0uVQs1PFi8
zu?6kLRC<{M0Sm`@aA?Z$V#wK6W2WBe3lam~E_yGOdNSUq#QRcxxOB{}rp}9d<Lrv=
zaCQbU*6Q8;Tq@&?-<^t;6Fv#L*43<re~7a9B&af@Y(L}*YGHQra)kwH3p_V}*#gj1
zvzf(VFzYIX!_7EWh?fyv+)zBvc7oOxbIo~x-wVs95t)=I<lmWdxp1kr@vKIDVhhW?
zzyd~zFkxN}u?B#<p{+K1B9Scvx&oD!q5cB2BsC?w2k9TqUde~yo&|Jk6w9_Jh{Go#
zzCsD{QP}Jd{-42*5$lnm%P@y@y;twZE3o=klG_x3{%H!UMF9FISZRd2hvHSqi8u#U
zs#gL!+S*K~_pX9_tLjYe1nDBIT3}77l#eDY`x-^jZ1(5T!_l`H`%p{0xPV|V-=F;u
z{NOnTjz8(skHZz3msnS^@r$`w{Ar5gi&m@FOrW`Jq>^9B`vOtvFRD*jsTWzl1Z{^|
z#dl;St8zQCHm7_$vW{|xM=6SAVLz@sco@4c<<cFi5?WM#pn%CJ55BHK^C(&!@jcNu
zP|@N=WhBP1>-nZq`gH=y<?jjZf|cT}`G{*8bwq(MQxr}P@YywY2tAK2u7ns{1H^b>
z%6LhP`$LULYykPPz+y~%NpLJ>ctV^{$4c?yTzw|HJWcX)I5DtRSwzZ+rjARasnZ=$
z_H9u4`16gb^C&NLA;~PL_M`^q7nc*(jQmVegP<=F+l*q87a>l#5{E@Zcqhf1hea5B
z1Fz^I`xz+mLKqkWMd;JwfFf5+w`-H*Q=RtAIHq<giHWdh;v_N>opDBso=rLi07fqG
zHcI=t>-ZZsEKM@cE(4ioFta4VCAjuyOMVvNXuG4k(Ky*K<p!zwrD=k%1rh2&h+px=
z3J>>4UoC6(KfDBh62`1iTY%Qi=pOd(3~#c(Hu?7s$q5(u5r&%-7qhoxGZtDy&oPFS
zflFVZI4f{ppG}(|7eRkt`x4S?PziGgp9l`YgWvpLs1%w7g|;Ae@L?+3P;?%^9%*tZ
zI3JTDe-$gsMzwEW{Amv1t7V4p_e54S1ofR@A3+F;_2hz}@E6_uGze-}N@RDdmKWVU
zx4Lpr|F6}o->Qv?wFr!I<e)A<qkc|2c8wf=(MN8{!JnpM?+eU|=GcOA2vY-)NB-S+
zAl;Rw<Ej6jy*Gigvnub$frNw%YZW9g4qOo7q9Fm4Eo>%%uqb;36mYnixs$msGjqe8
zJA|Mp;!@FTu{LhFZ*8^Wg8PaKb#19T*4AoOq~Kay+8?d;|2)sx&wJMQ-iaCh_Vck!
z?t7N!Jm-0y^PKN_&Uu1F==eg2!6|7vk{E2Q{cgA~EQPR1eYdn3JD)1_4gNA!ZEbku
z?(9ghuC44yGRLxq`x}BZRLPFS2(;L!?Ul>sEM69&P?w1}q0k{~HFwLPUdo)0*&r`c
zC9#woN$)TR9Bl(R3G0FYM_v3;oGo4sMq)m}(F44mn7~FCw0}cj;5Ke(qloS*K>Z*r
z19B^OS{vse_6B|KS~1&(hoQmoZnb9`ovo1k83KD}n^O}Kzs;^E1-Q5kg?G4kb+QZt
z=m5K~k%d1iui!(5S($%`_Vyh93KZa-SZRcNrXGkk|CvHMl4c2>F?lAyxhraGX0~2M
zpsprnTUy;oC5n(+9G=O6tdVm~o?Xd?b(QDqc5=U%%mN)HcsbN^!n$|C2M?@^pA5&Q
z>{OVrZZyO5_pBC8k4HE08l?MOqR?Md_e*ji-S0!&VK#9{m$AthZt=aPz#q1?+F5&%
zmjI#PRT(MoB*x|?Ox%QHBmOCk5fQNDTyygL{L@&y2r7lvJe}3WgD}K&@T%Ai+OEp#
z-YzR727rH>Lp`X<P!oB*2vk}yn*KJsUR9;*74yjDWBTASd(W5)wD!(1$<tX?M#`9s
zn<hKi2Y%6Q3zTuDU~-f@Jkhwynd+t1fCb#{Pq}cu!;sIwNJ2V;>cwC2{1g=pzv6ij
zLkVj2GcX|^+ceXX!hZ*!rF|WwFKWU2YzXt{uS0Lf!%j$Hgx-!~5{a+1$_Vg*n=kQC
z$ugSqZt|3e^_m|bZYHsZi7vlgh@W(6aBLk6)7x8&+!1=o{$bL7i`8P1`FkNz=r7uj
z`Fjbp9cB|>X&9T#;VuF}5Tm8P&B4C8%3ygvvBf5o;hv=Ajw+qMXK<Xhp@-rFd7O4x
zCtDtU*2z)sr0RMqC$-l{BVfa9s^T_mIx-z48y0L*T%G-Rf@S2##OR_Y9xVM0Gotr8
z!a*L;e(NP36aROX`0``o-(sc6jzYU=a3~LJgi8eGUSM;3^V}3%4pDbLQi>`$Nhu8i
zvFypFdG%X3m}oi^Tmm&>iyEIg<i&ueF7s&kh@9bxP2pi!DSZlc6v-b=sh5(oL{{>Y
zWE%TeWO{o4NsG;i@p&eBI4)jJoDm~qv*aOcOL*wKKpC>mhy`FI=h<;aOuLxC88Lom
zXT)t77&{}TzvkzR_-u^of*^jlJKOKw*i$Rqja9vSPlbCQ*ul?9H6&CY4xLE`?(pvC
zsR#R^inn%e0fEuITEE#9pgf*Pzd+Vn(45wCp6Ro|c9%oiPo|xGwH$r^DYW8T@hWVF
zW?bFHU5;BKgz8q9?^&>XVBq2%$c}NHMNBIHI!L9CW4UKm(Wi`G@f>J$K92}I0**^Q
z-qKyDYE4H2H}eUJ9t}M5oSCtyIoLbH4HF*OE#ZIXH#zaeXR(jr;?v1<&zz}|;<;FZ
z<&pZNq*HSbk5II%u5Fm>%*@u{qyj<;+Y^wS+)8T$a++LT(f(CN``uM(UjzeJv@4-?
zfFcDC&=OMui?7s1vtm8r-rBuDF<X9rf`8GyHTui5{BmZ)LSOmr+8TJozG7^ajLJH`
z!rBYndKX=O9WSta9jz^2H~<z>4o~MOtB04<@Oa`hEfPb!rnZO(U<R80mf}Mm>>q-%
z6OIr1A6d6|`ws3ss6*_P#1AW!X}OQD44zSuLE(b>wX~(YNdfT4f1CV&)Kh}qgga8=
z5l{(iV(R6z!-9PTBT`sT2&UNZJbuyLAT2UzZ%a6d1-=B{Sk^-RS6fZ{JuG8aHTdYD
z<AIP8pCK(H2h;7-q4R=t2l>o<D#LcbddFqHD}p`go=O&nvM=+w7!*9znF$hJnMJPq
zc+U!URhdWm_wigzf`pSoitHnqTZ42bu*h7FJ@JuDv8|$>fTF#Cq7ZB(ykQI|Qfor7
zCk_M+tr<|Hpl8Q<0EoLQobCNVo}|vDjVbf4a>9q+lg0`WKIGzt;(75qSU~4<Z?Ko?
zJ&2egJ~QNE|2JR5qb~Nomp~FAd?62ASH8AMAKU#=u5`se<NOU5_asjvcd{3rUqMX$
zCLbrbt51?Ki??0UgcuP>=GP$S4fxpTVkCVR5-CIc2yhl&Y=rGWqc%IY5u6nG=MeI`
zu^G43@R~oqHpDN|*KjiMBMUjfn)<ZVE~95{8u*G094fXuLvZyF3qUH=X^5Y~(?z(3
z*qUY=b~%kZGKor<{(}kAPjZE+xEE`%7je`KZHMrthjJ(tNcMkWr4ga3=!QI`or8ey
zj!uY@uG6?^u+SwLtt12tXIztz+Sc}5Z3{e1%<e~bnFLs;$<kxxE0z4WoC?}O?0p^(
zn)Cvqj$MBphUbi2+8vtnL@wbcy(h=|VIHtXBbN@dTJ(FGV35RR)I*3ue^K4#%8gt)
z9NG@EiJvD+HkD#9Y%al)>Wsl~lv{z$c(TYyG3e#hgN4BETdj!>=z)$Zc8f3_=Z7C%
zq2?qWRs4pE4(xL3XqGtfQ^zZ@Qo5om_o?hFafb#Nyg7#wV(@f2gOTDa1_!5C+!quk
zIqNJ)xG$1{j<cYXfZSf-EC|0dFzPn^i@+%Q%L7Jn)TZjIsq10QZUK<g>=%tXxdIv`
z`tAdgTBA9YqPcnpeT`A_HP~~Qa32ug(<5AJ3ZA4!`28v#_{8u44WokOM2sb3Q>1>7
zMuyg!_rnC~D}ZT)!)VoeWZm8!3kR)IoUtJ*AIljJHOMMhP=~B`*Gh_+Fn%*9<I9qv
zu0tKqzVq`?sRXI47QOAf+Jb_<6YL|n8D>3!kt{)1_(hi@4Z32xdvtgl&IKA=dJ4?s
z!!NAnOrcEOoR)65<O2;45O1yS-3VfsIpBXK-L=~Ne3Ow@*Y3Mkv97JVR%k_pcr2!W
znA{%;(op5D6(i8UW(l|hua17!#c~IXg3yREK*eWJWXjOUK5k3t5k)L)smm!rW>gnN
z>M92(IS~jcskt9Hy&y<;P|bNysmSS7!JaB}C>uF-GRO}KZVr;2z#x|$L>hEEXdNi{
zuejc9RW$X!4{AVUoD=E71h)l=NS(<6V1jHaqxM2zf-W<lDi`kr(=eZyARLExFW@ke
zbS@BXgJ=P6mk7gp7n&$~1hv?!1U%F=<l*>Bx$|ZK4C8HjItRmMr*Kn=_oK!da{`d!
zx1>NSt5%n*K=CmY1h~bYEDr))T$pYk&CUn;U=4(E_+s?J;cYvF{8nvgbY=+Xo2bpU
zCBzpjqj>ry#?vq4^0fFo)?gT$qH#N5Z2yu&sleF2gO#Mz<AN2$*e=lg<60d(LBiSA
zPc;x+12mVubN&Oo3YaT6FDq;8(Rl6mA$p723A!2nHV58}-{c(8hUizx!`4xy_d_iw
z`1UjS-~r$8ld)Ko4YdWnk*myy;PRVyy})eITt##Pu7Pj6K&8-GR6pR`QfNEOCJw$y
zHkH6Pn@eEeoZy?I+)35tNXkU7k4C_R+El4!$p_2bPXZI3IS$LAvL&KM-=d-egXNx-
zC1@O$I~6OX+lD&2$aoGz#uuV|LHl)c0mm(*^hb)lOnL=1yXkdcGB3&*H9>&qLyeGb
zX&5VVXTX!0c|D+=GdyANr?67`q%Olrtpjq!X3ZDE;@F5iKbbn+U=;^Kwe-uky~WgX
zlF7OWS|-cBbKTlA;+KeF2P@_XLb=VV=(hs>jFCFd9HM<K)gEHpuH8uN@{dSU1(c~Q
zRS5Pj&~V{AWuf81XO|-GK*LGI0%$mXXK47>@GnBc>8~If9v%~q9o+|B24|91JQn{%
z0K}|VFDN(kuJlTrE8zitX4L(gq>lcwshiwGaISL1=(-Cb?_z5f-WB2drCOc6(g$bw
ziO@UbGCMJ`=t{dc6QYOlXlJaGfsoM)?1t)kATl~-9GhQJn{7;Qo@$PEARl9Ub&ZX(
zF?GcR+(7PLC0_KS1xvpxv4n9!EM(%Ja+xB>^uJ(wbc+3|B;Yi>CGl%ntM{HA9HY0n
zyp3H<c(#o9NX~&L7@1zdWc88@L#(b(zIgH_P2HOo48PG}c(E%sLx&9NlE*&fQL@;_
z@&}WqeIqo5lCLQt&}dRgB2Mi~oVhfs<B|P6&GCZjp}!$jP|TSAlR5s!1;_6>8#x>*
zl|WPf*~p2(K7uG5>&b-);ul?S`#c*t-)hcp1`Hn|8p=z1O9PO;cNw@&D(%GixI**o
z+PTD6t84eUNSHCH=OWjHN9{friFKWME^=d#hAQVGj6ie2cG(p?7dezzu05%FSjt*c
z(z!kKT0-m0A5Fb`WpLCUy?Z$kYoXtMy?a}*kD%VMo?Lo|Up#uZx3w@cF1dm7-9%Z-
z$^V$uyrm4<iB*;!s_s&C@k1_N`wxcxF-Uii*Sx1POof;Xxi}V&{w3I#F6mi3;(hhS
zApgP8FM>oTFv!wpw^<C!ZK_#Za*-+HmJqtlVytV+EXJPZTppyMidkd?T5Qx5O1N9f
zEXK>?ak0w{QZ<WTfU7+4bE3&5lnAzX6ly6y6JmZLojUxAyXWAfgwKRF;(aT)rN(kV
zt-d;S544uO)X$9A)mPT85DnOV=+#Uk>Y&R@d0$GK)lb02Q>_U%>}KyY(Lpr|$rKld
zYUg9c+1MX*l8>v@s2T@tq|UYIH<hMd90i?=8<$&;a%`N@5jq440Wa1=TOok2x1`gY
z7;lelD^_Ex%jjRz5TCxS*Z@^~OW_C1^SG_Ycjzvx3eTOk-BLUWS}0C}TI`?!C8}79
ztybiU^yfwv;?|JV2St%ExJ5hFw7X-yMIh+gqM~|$5Y>_{IHYg}y5dq8+p2BGq8hf)
zkAO|l2+bCZh0`x!H$c_F2v~W*N_L6~94))GEvEx6V@WTPy_Q!t8_M#!k3vTDmREC@
z!epxm{lnM8<qr0Y)EvGmDlT*2r3^?f!=Wa5P@7s@QT}S|b+~vX?_A(t{@FkakB`+Z
zK&XZE$;swJ&Y5X-TM&|PLz5#~aPs2ha6(DN+`nPWeS0o*i??A7b|9|kbsUJtPrH^~
z+JIX?kV{-9J=1=Xl+vQ{(Ht_x;mC)u(g?>~2KJ!t8U>qZXXdznZ#LjL1d2q#TPW<=
zhE+UWI>nNVwWsE$XPn36I`YEpoc@!^jc+D%LqBIQ*Df?6{KdnsLUUxs%P$_{C*77B
z&IZg3#+BaTPBaOgjO&p6eyhcxHj5i7KOqYJMfH_E_lC+(q3tl6IO-zVR5~QLxr7_C
z+7EB~EBlJMquh!t!I5In%c}=g)b2ZG|A&izj4&M~h`$*6WhxqeG4xg)`l!`u!%E>M
z^p~bM<Cq6=x;4{;^Jc*D@eG>cx`tRm)(k|Wz@Y^%iHi@sM#auHRt{~Lgu`i8cMIMd
zln;?&iuLj4L}PBM>weYRL}Iuenm@`ZAiH$v#ioAvMKmm8ToVt1<~*8+pRzQOZ`1i8
zoB+WIR-1n6ajtpl!Y2}q{-U}r7XJr=;qs};=`QRL@!}+CJIpAqi;__#U9|b+(?v(Q
zEq^RYlrq)(qmcj>!sbZaLJUVlp=2R~O^Ww8zmQ;ecnA)z@b;0b?w%t7JZ<Cq6I$hu
z_zAa0IGmLaTrW2hT;<%4viC$ac19^*?l~)UD{ePbO3Jn5{O+~}FlzEBkb%<BbIxV0
zrni4?wO1tDGl5~@8SP)nS_?YM1;id`H_+@PYJ3^6f0mYqR<pNBPPi^Wg>R!NE*5Xa
zW~|#?+bg%)$AUxfoR@qEDurMqAuWh_-a%!xgP?)uR{MIDA>2)5B_H|xAlOF`WoJFX
zvRb-^hF^3SMLTNkC%4+~tY#BkkLZyrJ=A2JV&D!*J8~7Mu{d^pka+AGIeyVcZq0-L
z;>n(um=(>j1?M45P0q!WgM&oq>#5<}Sqx6Oc#_0m%Smt_;Dn_ROkvV}zf-~^cOT%y
zy3RbnIX_54l>;0`pv6Yd0nQyH)A6!+fa5ap=2J-e!_I^aI1elJQsx3Q9ppu-B-+~w
z<Gtw|g>L~l3G0Hm2<76B;%w0aRuBAui)<8~arF+4xq9g2;S;J0IfE?Wq<_K9ZS>eK
zJ5w5Wld|hcF)p^D2oD!8PnKkym4`)!wOjd+VOHip!`k2E@K*rBZ^KF>+&>){ApFP5
zu=d$x7U+;l4{E6sOxz%I?CDeR!Gk^FC&Rrdn{^8XCf|xHlPh2DJywgR-=iCPq>v*|
z-y{nCMRo5a7X|)jXgka%jyy3o8N&@`So>9#k@8MrY!)fiIHScsr7@yS-A)_K$@BA1
zWA*PdSY7-K3TJ?Py8uB|Ssl)>w!F$v6L}rUuy$mXt`CPwA^$=b=v*#8z7H-3Gpwzt
zGE&B5+&bA;S@4T)TYPw}qg-mfG^r0c8P@Fnlq2UpFCQ*G9?=<8FMeL~5h@x!FWG@I
ztj#1(d04OcN>h;7!$g<Q8}XAa4e|5FGw``(vC_~#<aCqyd!E%|lKH!dDD)TYM=@Uj
zZHL*!R~p79W2NauGOWF}%3ygvvBf6zP8)IhT~#`N$KW_^0}#c#^EmCYPPRPytdpZ$
zAIZ_A1oxR?&88}D!!|{xqh!N^O^Oqp4<=Yfexidedg6)Bo0$<ERED(&v&5HQs{SQb
zitH$~kg23ZXe`z;rKpmVl+v&(UG!Aby!tI1Of+4g-U(`iToe=tK6S{80Z(1#73xEB
zh9@?K2Vtf3Db&F$Ty`8Q6c`D;l$<59lE)|0*vBGc^q;iY92=i!l806CazY-Ev03sE
zwk7;<R-g>xa5h|tU(^+Vk(_78MP1s(1nv>zcXm^^1p{OEi0Lo;rY<`~9qIE`&GS|6
zsq_qMHUbD?n3Se%E8N>%SNX(PQDR=<%{na}wrN|bHw%iS-^g7i=$7eZwO>qqx)~-z
z_Za;qO`PK4neVe@t=`8L*u7kXZ`SozJz*L5iS?gM&i$q2LH=p4;$QJHY=-EVmmFqq
z3{t5hMeg}k^eIbGY=uVW6N(QCJ1(sV!!K;XBOv~nd~%{d{1NQQD98mc*516;eBNIe
zDaa)$gT<4}OOY-<j<gIHA5E4Q=Hfgo=HWwX9x6faOZkglVk0g8E!j)H%iTG=75>#%
zu+j)uLl5Y#xyZ*LbPP{aG&+`;95Jg2N)3`ebXK!$5rXI^_-g*}rq_7u$^rJObUa*q
zKZhmcLH#S#Nc5<Yb%`F-7pZ7G=04M-{(a8y#Ed_LmC|QiB{gvS(ysG^M_dYBc<=b=
ztAg%DXC4alSkJou{C*gkd3wUZn!SLa$gI-r?;bBF{AXli*6gbV&H+)1cX))U$nu|s
zotLxf@SkfiG6<gG4yWs_8!W**==Jy)y~IO*&5s9t7UZ1iE96oJTb@$cbp{gp@R^S<
z`OG*ZcEx0XDHBIwHvGyI4*R=8)?Ik1jWA+TJ;M^tgs27lg$wHM&&vce+!vSsma7ge
ztJg^$x*Ty&%wh*Bf!mduGV%GrK7xT}tS3ZA?fWeFMHd_`;IH45iMLrz`?qzvfiJ9>
zv{EDxv*<Z7K(BQ1+5f)7?LoSOeC9osad=?8<F&ev2Yd1@fl&@oPyI3|m@@J1AmNo+
z<hpG3ufeV=^T?6OAQIW=lp_Bl7{3hCoxmc?6>!H;GR3xvdg26UfTECpBR1a{C#cqh
zVj2g6;D8w?sLql+E+4&mVOq&YUS=AbY8JshByy!pjLhZUKu7{BL{y-Q8;a+}rNE*2
zgd+BJ`4BR3BAXxD%U{lAF1nX@=SJj9ocp7k$>JoO#o^+F<jEAf^aYoYnV9-SK2Gp7
z)W!K7IV&Nb#vPeNB}`{CVOpOnOvRa4gWX|QGqfF|7N4F&sn||mhLuLRDUAatf4szr
z?c~wvTk2z>mbs<oVItSS2TwpEe$pLJ$0}mRO(={3oGBNe@O-O9|LTG#o;)D&xkRDA
zsP39(Vh_a&q3tl6IPxIbR0^%KxdcOZUQ2hB%S(VLH8MYOqTRPz866k~At;j(rsMqZ
z6KT|(L<D666^-L(5*Za+I)R)@9?+KVPH0XSP``{IxjdNQ6Idx-(UlX0GHrTHDskdh
zb0{GO|0A&?OfhFLQk=!$;PeWJN|@v<h)TFGl7SA0>NP-aC~+cwX8_eh_!j|G^w<0V
zR8JA<Y6gQ+t*MMs2|D_Ks?I98nWE9{l}hoEmxoj?jAHFA>;5T~BBi;cGZh`mGE%m1
z+h_b{+P}w1hGsxoheM?dNbAI4AHhvB>j}(e3DUwZy5ZI!Ew<~&u{+!iG{N+SugQn=
zt>*kzRreL5AWc31aW3)J>fQ|tgqZ^#S<=<YYr-RUU#*OFZC$O5rBb{xNJEvYm5f0D
zDkfkMdK=TlatFMEkcl!t#UV&^88YcRmE!Ay%&3lqQOb@S!0^??7Yn)eBdYHS(j8QD
z-cu@~`pIBVl{u7+s5%+s2MfO%Bs+mYE<1=c=yuSWF8_`8A6gYnlhX$^urfF&((-)C
z{r*jmh}4-J09MGRGHNdbR_HPVs&X*|!<tX5@Bpt9Cjmodoe107gEKh_7*@@Q$lZ*p
z)#XZD9QZU4=HX&F{wFDDK!A=5IHBTxe6R-c7)+MP*&QsSczPt`=@Gd+Ee^*T40}^F
zZU^k`<Qz)Hmi$DlG{V>9IQF&!CRDsIdDuGI^hl`X1m&IrA3UHOe$v&;VXiGujvQt#
zb}sL^X|-ssCAt~cK)H=Xp}(l^Xy<}*o1pD5n>Z*Z*;E4MY%am#>jdQ-<@(5lDD}3_
zgo-v*YH{+xb>~E;Lxby3*%HyD<EZGs;JP<KbGqpIrALG7UXPX1Z9_(`Lv{lwy@HzE
z^g6H}zAtCg1P#8M*dFE%hX#>51D?#x*u{U!8J;ls|A3X!C$)M)#UCeAryH!|2B?;P
z*WQs(v25A7$@&4bOqRWrP!YfA+Tk$lV8t9EDi2u|{esia7^&kVtE`4--$J*C7`JQR
zBX;>mq}er;sVr3p_AXFz;XGxb<icl{BJM!RNyGvdq3}CH$&Y!uK*{N^AW9w{6Thb=
z@^JupGJBg@vCf{9^(R!s7iSrDr%CGQFPpjnBvd?oJth`p$vq%LZiQruPfW$^^`1<a
zK0T4*UV0;So&t7K-P#d}54lGs{wY@%+FD-*T-A+%UjqadhWD*5k+ph%w}aoe(wX$f
z%Yir{8Ri1e!#NNYvx_D+V_g#4!yF-VHq0N*Dep#T3FSU?(V{fEI3JoGIHDnv{#*x*
zgBixlR-6%pTU^M86U8kW6_fs)KR4a%w8k1!+%o8Se{|lb=ltneGhnR1y)`0{N~$p_
z5lF{9X4;=uVV6uck~6;A?W!y!WIA4Bjlwh?d6|D+0d0kX@B*2C-U?Oo6SKSsYOx(L
ziWSTJQ=KvB9gyEOve4`ysSwH|`HG&zKVf;@PsppG3=SFmBy_`NFl3+Z#A04tFHf#M
zP9rlVQwJIXa`h#sIvBY!2diYI_#lpyCHs+6;7aym^Iut9_cnb*Z}}F^P6IhSGL-Cx
z=CQU;%WeYufs7h*xhd|$zK4r@ISInI_0I>|cYHl@fq50AMNUT7J?VbBlg*lw&*>Eu
zn}5gH{F_`h7r(|D47^p;JHXpGGNYyX;VQ2EA}OVHW49|p`mJjxstOOL+7&Cwbswx%
z@em|y6UnThT|CEs(^C7VdiYVU9U%G7W0JX{?}^Rj3;D#OEDwg}Jb*5K((S6@b#M;m
zCI30mYB8wSBFgeOqR?Md#}0A<-PO=`m`xlVk!&gfx;B@5fUculUJ@Uv6#2=2?7m~`
z!Eo{D2-8u5_+xelP|>j7oDBJVYW1~xHcZO>6U}}E^;j%Y@mf92)FSaa0#Eq2WDZ%3
zYk?$Pa{a;+o_ww&(=<Zps{CLbe$so2>d2l36KHJEu=T4snipDq_(y}Y!ef)4M>PA3
z>RMBr2Zhs7#o|R!Jj^(*HIi{9t+Dy$(;7#)!;*wXvapv{9=r~_ueg>J5hiDAN#puz
zTGF`QttI?-(h~SvGKI9{Q$W2gyMAE_Pd3+*j}bGRT7sYSp5{YKzG3y@AC0CZUnQFT
zMf=f`Z$aB(#&Io?j4Nr0%{QNxILakRy)F<bT7tqfT-bfZwdBJQCTD8NS<~(DX03i6
z{C@_p&`QE?#XAx&Qt8Ibcn$8(*E-GaTxSLzp_!XuuZGsmb!9P@7Dk!<!_=AGuQVmu
zFFN6==Q^_#n)7&H_$f<gh7?D{2=t%Kan!8V{o~NIWrV2p7wtz|4u!VEEaTcDSys{(
zn`1t0ag;l@g7`>=_NvqdO|t2TYtmxx1ia#vJHhq_{tw~=kGu-QwQ}6Elct;FEy!N#
z@X-8>p(?Ir2hNVLH6euJpORm+_*|YWfMKcNinM_^<6M03Q<frG&KTdGTECj3nYQ}y
z>xiaK1<~v;+K)Q5q3tl^xH?J3mDI`Rn@^n_<qnQXjpSZ0S`-w;?jf!y7e!c`sUIiL
z&P}_NBkGAlJ(q?o62Aja>2Jvo(v7z#OH+7?xo*6fnBmk7{50RX@iD6pzrbs{@nNFb
zU$h_H_yn{aW*pZI$+(hk*nIQphNE2EF+<^y0+HaDkuVJxc3*KVc|(NBnObt@b(qh4
zW(=G&W0RY<(-)Op`m&qx5tyxhkc=YDc`#Yl!UDiG=NH5vr{>_N`PQ7JSDAhI)j`vo
z#ZW1DGPbPKoEUFUHvl!s-S{tqw!@6$nj;xk(j1#_KFx8IJ2Gl+rI<*m=w(!bmB#Kh
zu0uZ^unx^$)7&!CoP}_b3OXbzJ9WtTh&m*HklZ32Iz3tH!lJ-+=wy;drw-w#`PQKg
zRv$?^bP>_)FWS%Qb1AePW*pZc$+(gZ*?jZqkfU5&9m-OXphL0}=#brOT!&7Kuse4h
zx@NA^ZO=jy_$oRiDm!(^_=q|re=v2Zmn?N*QQ$iCB4UtJhw#&U>(HC6KKzQItwV1h
zn*Bxl(V@3O+hN9W9g>VI>5$DgpAI?7#dWAG6$v^dD}fH#y~cIu1rc^<>d@F^Yqs0o
z)M-qQ0(Lff?ObD~+nQ=tQmG+NTP_XTKU5ax$ot*Yzkg1a*svIJ{reU%*QtN_X}<OE
z7gisBrPB28r$n>AXg~V*D`-2+IIe$^aV7n;`R3C<N4XPYexO(2q>%Kgw*lH|(-hav
zuSX`Mq@BSgMP8jpB>?OEItGSAB*viclF%wo#vx)rM4XO#<m~dB0FGSU0*Ab|vDKIz
z9cy<wO?ue7wz?LZzgqKpus%)PNwz1b{?KY@sk?P^({62b&2W>4SeG+%)1x;uJ8gI*
zH`<phtNM^X`CFf9ZfbN}*ELgnkmb!@<j?M&TC<}-3kH*p&UPE!+0o`qW8+kFTn($+
zuCd=%jkjj;TdgrQRpXV&z)n8uPjk_f+`*}pOy90^A#G1_(lcPmfHx5FKi;rKE365F
z+(h)%flyg!9>g^rcA_1`q|~stE6EKP1o1CL%DIe`v#XMF2#|6nR1N_SXxknGG-_1K
zvEa*~<%|WB2j2+kU=D$!jK{$Lv?nvLDWB<CX~uSW+vqKA&U8DFY+@VcoVlWRxlhT`
z)9&bTtRhJPrrbF%H6UAWV5N^9^V)}$0BL)#HW^T#Y>FRxk4@|VV&W>M;khAMg7j-4
z*U4JFyB5&3kiZmKcP*CtCzHk2`wK`VB~a!T$tm}JkkB0r#pU8f*bLFAuKg^=B~n<3
zC2VO?_%rqXs$lQBhPr20^{f1v;#z2Q;CDX?iq78yoR3tY2b)6acpfeSNTJ2Ee8Qr4
zTu$bRc`&>fmkRQ@xcfjq%+@wGTQi%umoZ*jRpXAvxJ=g5R~u5yi}xeVa4R`k)^O%9
z_WNNqbMKZjr>){woikBu%xo2Y9iJGHYoi887k3P6t!`~g3p_v`=z=d~tr%*<>~^-a
zW}Eis^^K|7rkuxl?nTY?XW2}DI(MdvJFx}}KUaKmI1u%C{CVO-p5M%&QN*5q4J(as
zqZfZQ<g_l#QmvIZ#VcxRIwx@cgz4_L896__ep>=9zBh+&^tQkcp+?M&<eORKZ{lY5
zZYmlVhatYZ)Rw}bi`j+~f0DeR<#5p`%x|jaE`(wytTZA-80dFgNbowX==k!%V>?NM
zmwhdT`9MA($+4Q;yB69doJ+NAyIgX9ds{3zQuNE0%UOJWFiX%X7$3X9eKh_>kFe5T
z_62U{0r#6{^8)bD(2$C)b<SI?x>sG3*@Dif>h<en^x^EU(#b+sRd2VB|5yzRNC!^k
zPa|}M>_>g_WpcN$w^c_Nn9}d2R-A(Z?$wI$1FUDty1mcs;2QzF6nxIi>}Ei-+MNqF
zW3IYco6G#(xJoWW=}U?2jG2EcnQeX1-&|dcb0wJ1{$X<bYRNU%rofXp=t`&r#wRs#
z&`hw8;Cp_oCjfR!udL!1T~xGJR_Qelx}4>F?a%Sb$n&kn5+Uzcsvzpgc-Io|P(g;X
zt?c^hHri^SVdhx(O~hEMclQ&kj5B_tDt1x$jOgXAW;IMil*MO6l^PY7Ay;sxXJuZI
zn>|MiK1>zc44Ptg`}{DNb(O>6ccigGyr$^lhT?hgBxr3u_n(gr*<tyhBAX}Lw5{cQ
zj&9o4teb3(U4yaivrXnWO4Lc;3$#16nRXX84&!_~0DC!h153L6187OgO7RV(f4KM>
zABON9ERE1aS8U)OCMKUI@oqJVWneR5Uov!I0}frA-DYQ2n11~y$!&5(f0Dy$;fVeS
zD~)gi5#OC0hpSMnehFZvGn*)sZv$WjD!_M)WD#~Ru=P|MQKH?xToGH({wH}j`r+e0
zKrQt$0~%z0YWrXC!E?C+Kj{mQ!x)-x6)s`p7gHksX->yJSDUQ{C0|_B+Y>5<_C5MJ
zZSM8fM?l+QR`In<vZ{1WYjetXPU|RlSdySf7WUH0gN3pCQbygeJE6_xZ%7ov^TGF5
zs2;Ih(vJaO1Uh~|MdO>xM6BV-S>nU*xu1=d(zW^U%O;zM2G#iD0DrsI4k72M#nmLH
z)&TZhnKNFR#-~AzkgjOkWaP_$r!n*W!5eahCyetJtdu^TOV_dmo#xA7#6VkR5jjV+
zbljRuoo;}N$3nIAo5HH|BrEh1Xgo5#BnB^vmlJ3S@-s^eg0@5)K8i(NxH#cT93Bzw
zot)k>Ji^!;czX}o&%lw-;$H-g&|mWdj%<MU?Z!tZI_>FEOs-xT8(}ZwNrYrwC4|JJ
zr4NAQ$%bQYHd{y1R=@?(nTgh>)o|7^)~!9OhRKy`r_z52HbD%4ZT*>_qdlUx2aS~t
zwI<A{`J<_b{{j=KyCVKYO6>ITLA`rqt=>l#0ARwHwbJA@M@ba$w3q#zosrr<oBVq~
za>50IgkdMe#o~T!hE7HmYEz2|1D}0`<}Ah<Y}W6T5RdjFCZEF+<`8yj1VzA&A^a~8
z95R+dS`b6{Zz`+hus+Z);CxJq{3WcckY({ta|p|;3}IiWlmSH@9_%9sMX{b-P!xXA
z)lY+>cGt9@amBsDy7CF0Vm0g6YGZkgfl`kA)e%(cMB=e)<oHD&xdjROQ+!-vRW!#I
zoQE(qAPY{=&z0h%86-jvNeD4GCB;V)gDnrht+HV$gso~)W~H0MBX?(3igj&eR-$Zz
z{Nl5V``dyvRLQKw2(;L!VMS$g7B7pCsLRBgkm!)Ln!9CCFJ+p(_Xl~ADv703^?HXn
zAnAL6oP>2jfTS+|D9#pNhm~VKLDJ!XFD5Y31?}MwDELiuF6i{N*lTAyTC=VNdaMHU
z55hDWT|nD5&OtN|`rfr-wmn0xD4aDlI$LY48G?SNCM1rVT~CT|@m&<(;o>{VQY=v0
zh3t3ItbB_P8J3;-hiZSG!(V|0Jb;x(xNqu#YV#j4T#GI!M7P4;<_b6n23U7RZOzQq
zs|ei1U%8lVX>})+D9+MB0%Y}^YtAycv*BIk`?}rS-8PyIhv_%yhEhihz79Na!n=#1
zIS;&xpA6Tg>{giYZZtpih}EK>cEq6g8*B#>h5n+tXOau;9t>@V*)+T}DK=x1G2G&N
z@a`pF-FLpi+Ke1uWu&~57@L<cag$pK{!eL)2$@=6g@AP#tS*j)!s#GZaW)jM%Ie-O
zD<lelf0{#mMwOu^@_G@dv|u#-ZFb$R()AQn3i%egK<9G#+CI2k%%H3@v_O9kndIru
ztBjN}8MjS#su295+ZHI}OyJ}wcX*<4l{3{#tpN+T-Jf#ee1{@CM`jZ(8GqyR|G)^t
zGWqt>d%2qLauLG`YV|V|Xhus4{~dgm_I1rprv<OKA<%<S#q1bywze4$J!hG>qnN}u
z-NwtG0)F7LE&eH4MpOO)YmWRTIIP$FAo0D#D46K-`=9tpmj=h?!7#nO#mF6@m+T)V
z?O(E5^wX}bG@mC5{YCpx%&$P(VK(uVhOx;U?jk@>#c1hobFlwjWw5-T*kZ%>t$|JK
zgH<~J<={ANgAc`T@;L3XPPRPytdpbMN!9gKPHL}@M!<&IRK;!B?UCsy*|1=f;$rRp
zkh$}#6Sm5ai_t|-JYc$y8PR)pF6{t|2ejXMiO0n!j+v$>OfEkzJ`O8Ib`+XTKa>IY
zvv8@v+zV`OZ=Rci>muqFNJ>#9Cn=>tAkN7dBb^PdhZ-RlMVmV0#ek<S^N4s;&hW&h
za2zY8Poa(@p)qu<P+%nVQgW7PEqzupjeRUKM*m5R&Gj^SL769cn2VPas*H@yl83M@
z;i2>bWym@!7J!kQXUADF?P3CF#rU0_6~6}t#?FfAulYGEJ{P0Anw>7(tnL5i?CFRl
zK!X$T=16Cy_+wW7HOd{wl?HsMDDa*R_dc|PpO$(DL}!zMJHGpSYl6~Oyw&?95FFjR
z^{bnJ=kaX%?`5q8&TVxvJ*0~k+h^)OnHKXqa{T!x(u#M*J=lzOS9dvXju5n4VZM6-
z*W?*h2eOz2XAzUip9HDY(Kz?qD*BWeEbfFx=kvJ0E99`O(=FbGtKI}jf0j=Q?6t!O
z1&=&uW^8H>cG7THhu{5_hXKxSa`KB^#zC%zi=FU4-s?L0{3CDi`H9bvKoXt5mvm~*
z;t`6L)wK=q&iZT(&MhF&ustzR!$89^GecBzc}4p^jP|{%(!K}=u4q?+>wriK9=0W>
z1Q;MS(yUldxYhPppqMSjhvQ!qxJ7??7GutASoSBYK5VfL9=xv{u_a@*l5^Y{%MWzz
zU4ofWoD3{w$J%Yx`EsutH@wP#M;511SQdkdv`cJ@hy-R7>2E1S<kg-Yl%R0b(8;oH
z@Ae(sn@~sFD~TUgfYWjxU)ge^;+nz*^-F6@d6Qy6lK(dOf2ri5YmM|=UAq`6fn`j+
zx;7r{BN(T`dP0E3hV1c+ZZ@@ep}p1OOv1@z(!Jku#SGnGHSPDdjGfltV}`DC@%aid
zqoot0mj>w$@|pKkhVp>*j;nsJ4fdq3Sy>#)zUt><Q1GDV-9f@Dv&eN@?-RkUD)T7+
zww{Yga5%#q)zUG|KLzPdV3D~f2Th1o)DvcOK2Q{bl7wH3VMc0AD9*!yprJLxj1(O0
zu?Q4%Wm?H!2YHe@mp0DaW2EE+75y@e6(Xp}#SO*t;&^CnK6eTG*#3ivB;s>JF6@b%
zw^3Jn-%B8I5WcF1F08;Egc!R&%2_N9Xp*zNKmI4j*<N^_1u=DBK2C63pCsd-Z@Z)k
zS5P4VV1vcecPATNjIi&*6Z8;O0-S|c9$}l%sLjr81UCi#IfT4!Y{p$Tq!hqciTFkP
z8cqg&WPvDHQ=gXFW%T$>1K+xVqsDe;2redKfr)l!8ltN3%n>drwx-#BUT&FoWD=Dy
z)tN9Io-0hnW3dK%H%HCTb_jY}okOX>w@<)IBSKZt;VWlu)uih*E*dPLNyab<0mB*B
zB&4>rJy+WTj~TPu(_LpIlk{2nS|$H2r-Jqn7bK5PN3<USwVd%xPlgYkcqaU$n-9kd
zVjjCj<C(^-7X7{^9+>cWrUp^yFRD9Tx$#UB&~}(j{FGU;sT7%EbIEu1=_t1XUH4>>
zkz&xxs|S99-M3m59S{T^V4NLcx^|$2nv-~d@kA;*u&b+YgywVs^~(s7%g-WThn3P5
zT{%!NvFsmeBKSu*Le8Ot7<@aiB1|zq>_v*R7#y5lahp(><g61S;l4-)I!=hT0=d1w
z2@!s0pwxHqF9N0LFApfik(;W3)Y-6Rx8Pu>**_|EYNhib(SIM%)H=hp6b;rp=y8ma
z$H5-ZgxiAn_8#F=Q}CEI0`gb!n}iG((6B1VX2cjHyh`<hlyF*ceht&)SF<o`^-Ec|
zcgMm(trTZ$=*q`(#zPId3KrC%tKGGdVkV5=%*hy<2u+4(|G5MzWk6WVgM9=y#jGb6
zgoR&pDbgS;w#)a23Ag}<l~!|pORD<^MHIF|3~gJ^CiQW|TdRBbO{_3;zza*diS^|0
z$lW)wVqIG|vCxVLVO&iAFs1OSAPrS+Vle{!E0=&h@M7sME|xps6og2W0V;MzqRSA;
zK5k3t@OIGyz`|BM^|OM^NX1J^SFu=EIih$y@x?-_{Rrx<LArx#&U;ElP+uSHsWOMM
z5mYCG{NUhwgJdT#$YlqS2Hg%?)8)Sa`&p}^X>$6Y237{=L|Wc1`2ybz5|KKS1HcB^
zR7UNEzy@7rKvgat05@emvBCYE4x9uCnPnm@>u20yiUNekU&`G#185j;)9Y&(R6B*6
zOMHfHtT88mDSn3v<g#jYxegQ$p(wyD|73~aC;AK25v1AqEg!6bG!9>kemJ~_jnLn!
zEsf3$0e%y;*|voGf@Ks>mu(`RF2(=k0Jp^wtiiB0MdNnB+J<u|6<hG-SZRc>$DRv@
z8rF7!<{{VW=%5kawtlLCARC~%^qun`U{=6h!F^d-V~@;hzYo#N)lTru@VGeuXZ$AT
zh|J*8$-~ysrC)>eI6=4-(3}T^!%w;>I83z#!jT8dhv4#@&$L=J*Ad->YarZOqR?Md
zcd~OqxU-<`Fq=3CC)rd2;cPB}fpcDua+Eu%x*SQF==ISEm{6N4wJ`bMxg#Ufp}}*g
zY>DX6epGZ|@Z3$%oG!Y4>Cxc18?jQlZK$I^j^{CCd?5xHv|l$DaO^@#f27#Wq*qY0
zn_dSd^DlEoO;F%p5ZlAt;ZPuQXTX!0d3oSHIl~hM|6N!qeNva<q}BnuVzX9v*gVfx
z?5<?$bc0nq9jc{Y&E=cGB$M@NXqhbg&UI_oh+lN=a1YWEj`CfrqF-?O86$O^IYj%?
zsy)QGUHc@l%ReH`uAxk2sY0-Kfr<;~DGL=BKD!ig2P#e?7C^=EJ440)Y*L`&^j8oS
z508n*l3oZeh%-qmn)oL|AZEonOUb?~y&|`*srvv$u?vuM9%N@^)Ey+LqrYtGCif7W
zs~kak+J@%!-3!>sd#%nM@q=UhMC=_Bpgke6=t`|46P$-pXx?`yXmn4ljXF11+Pi#9
z82MuH5&x7+3ptY~0891${NgV_Fud>Z1X-*1&K(?C*LcKV-+Q(U)1aphAub|%=SJ`_
zy@JW*^^#w%*w6apizi=V2)^L;jRvoaGqD*u6;Ssyb~gsdqJNFwOiDIHC<$d%Q?srp
zQMz2Lgr*0MV@xh7Ftu56DKriS7;ilA&S_74G#^eBvA7!Jf+2M&%Ve<n>Qps7pCu!0
zOmU-d^_8_NL>n6CuVz4A9bAK@yeGBfs-Ivwr>qGumfqeP(RO9}NK}hMwcEAD7VMHq
zMsjSsJ#IA`G8<d1QJ7|<UK|Dei#q~ak8+rHTucvvLcozZXe$(S*jv(RPK>w5wiT<f
z)n)XrX^5oSRy+@?_LjmAn73$KkFOyvZwir-ZMPIpf)<KNsKvIzC{@K;Y_&RLa3r)x
z99dwtkQ4~Tk$l8OJJqyzae9kD&bLLybzdQ_x+*v%@b%D(05-IumQcMBOKEFgKSK3d
z8kgCE?pg$d>K#yZFhXV6VI?QUD{!C(nf%wIgW2OQWm}<)t$S}iqPN`Q+%(|A`g({u
zWUn5~;WJnw$`GRkYdABtb>@ww^a^sFDZYR`!=*@0fN;wElYxdE(;6-;UxMb($>k%?
znQ3)f0FmF&tO;il8H`bRE+!|JS3LeU<MB6hd0c!0YcQ}@(e40i<4DZ1OB)cW3JJJn
z+79g(NhvKC|B*wc*tp+|mE>v<R>~0-ng0~r8g*q)!*db0Y&PKP9=ZM)DQV>x$EnjV
z^I0#!4XIXzuc-fIa$`{o2IjSMx|P!Rz~-uj)`Y*+^9SIQ2f)QodQXP40W$+mK_-B^
zJehW+kVjGO2bF>=ytbz20=Nf4+hI0w09Uf91mN0S@&UMxax1a~M~Xo&uO1jvyYJXi
zFkJjEiAB)pinp%*9~BM1b#?l6?XkwjT750k6lT`wEF{VTs!3{LY0a+c3-X-(OEQTp
z$3@BV78U}oE9a3ULTBZ7t?*NpuIy>BLa4p<t2vqptB>&PaP1i*n*Bu$kN7Ak?DBuf
zK`!h#k75#vhZ)DUM>4LYJvQHb+T$p9c%tY?CiYTmfX3MU#Wm*K2&2)W@z>!}H0I=K
zK#r>D3)FLI%OdeRaG3s<Y#~i~15mHauU}xo6V5f|He!ZTQ}C1CQ*>3abb{{$tY6L1
zyx;1>KN@YFc`woIFWQf$d=T0WGmdMDWL!y8Y`*z4#Zm6CsHUKBNEY_e%7d2JeZ{rp
zRS_m<Yf0n!YFg5`-mNA4chVC0TQY^T<fqAU6`pLaCHE0CoLYjP=37g4D$G9oqOWPm
z?;{h~kCyBL1ce#LwL~(mq$M`rd|Kitmmu}JK%{613e#|5_Z8QYA4iy+sU>Gkx8dcJ
z`g!pGHP6etTcOezeuZ}nJIyY<Oai-?xf%8hr{#q$#?r!lVgE37=EP(v3r{`QnI}SX
zp8X1b%F>x3#St+A{U>uA=UJ^MY0J4pt-okL+HwK39cCHV7Rj=bw%8o=X^W%Wu@%He
zGPGBvHfWMfM_iMRiA+GICY?0h9B;u+-{F|~`9W1&s|_5gVrxS7#6KmQXw7*+vfPD*
zf$Pt6i6PE42R~)$kL81<cxJa*efU*FTXSATH2aJ8qeZWSw!@6$S|k})(juF0J}q*T
zJ2)maQWkpAqM#pk4{`l?c7(N=`f>8?+_XzMq7Eq3b7{yT@jLL8{+9e8-S~R4G=-;_
z>&D&045x13r}@^6`>a0v0<Y=DkBMe~(SCH}erP+)IIbI#aV6cb`R3CNN4dB^hQc8Q
zBEcUcVHz&%zT#T)l?anFwdBm}5c{4P1E0)5ff4~RUfHEDa1oNVEY=kDgJcwG&cWB1
z^6VF&umEt)8HVOOUKxIxZ_Rn4)rWsHn&uosH2aJ8qdCVz+hN9W&5?{NX^zb|pXNBq
z9T_#ZQcR>&^fD^JN@MpL*P-PRcIWEQ>^03TGtF5DoUNckqOwzmjE}(f-Q*9FTckr%
z$x;^<1+GJr#31MDgP-PGhn{Qo;a3bzhn`I|`-}FYL(hY@!;IrPBpFxIA)9YL9deY5
zt3z2T5_Cvb0v)n@jq6Y|!tPuhx@NA^ZO=lac@-TJm7O|dd_*0RKbSi7(PXI$ivri7
z4-$i%I)tC*TZitp`tU1;rbAyLn*Bxl(V?$G+hN9W9g>VI>5$DgpAI?7#dWAG6$v^d
zD}fH#y~cIujtIL;IuvYDWWe}c!g(pb34xIbb{MmMY>x!|m<6}}FriicY`zG`5b-kF
zEwnpUw_v@mZEQ7WN5|ToPLnd$)!4%u!MKIy^>Ce`iH<7VQ^EQ}tDz-44YXTZZN9HP
z#JZe>>g`RCs%RA8#L;W#;2kM=pdJD#V-AXNUl$_j(!do5Oo7Q6F80U&Bt>k%)MF@<
z2(vi=DvNoA0G7i}v=gCdlf1u&*MgJY?~2^VF>>ow$$d1C`&g(P3f4g3ehiF58<`w0
zJ^@)yEIH6nqP00=6QM+>W2J$I5}h?OH$8eov(v7&`pVj_<#(C+6->7Fi=1$BVy{Z(
zNO&FL3-Hru{+$aje$v%oJ`R36Rv-RV6$O!pNVJJ&f6;yx;4ZWsW*lFDCF4p9u+2B$
z0_-UFxR{--DM689(aWg?dTjR_TrcU`;H43U<J|C2iA$(xIJoEn9K=j>Q={9u4wI==
z*bf>lxHM|datW9R>sQG_(yVs^>AJl81uQHeT(ka~IN{VR{G|6ZADVTi)rWsHnr3~1
zX!aNFN3%WyZHF1hHA^zCq**rKe46Dbw=zkyq)=)wWo}K-FuVV_hP^ey_)HBu9|BZC
z0h*oG*ywDx(Umzg96_+<=vREPme(Gl+AalK?(0H0F#ZCj+Wl9upoXP~tKF}OlTNk6
zPg!cW7==cRhyBB(eUE9gMZe}~O12Ctg<P(Flx#0(JIp4oWRguKC9}EYQ!+=n#|tG(
zktxZ^URE_wFT3Zsdi^R_y@E}OJ>-Q6t@1r2x}=GF$Wszp_3a_6zFc{kPnpv*ooN?+
zYCM_LR=6Sil+>$jTK$ziYRs#%a;qh`(1DaIho!X-A@UVdi51DFKwS64tF;rdR_}8Q
z=W1<Wf~@<h{zZTXANUJM`#{dwR>>&$o!Zb%R>kDvdTfShyhh#&Hmv*-hIOd*pL+lE
zVDCB@<epsBuQDt}0~#Ip4O+T7OP6SSX(A5`6D1aVn1~-;(;DN`6}=~XGJCj*u4<vD
zL%11teQM<T)HXKp;v7#wR$B!x{LkVoD3uqsuQsHR7jH$Hhl@8SOBzlbUZZ<BP23yg
z#A!&`@6VZl$K|#Pmz2+oSYt5Vfta0E7xMUm^U7l&@ioyEwKiPl>TH2$(}t|i>l;(E
z@OIalsqSQZZqsB9KF>CrkfpuT9G{yR2kdhN2nICIa)n_>GtK6Bb9@LQ{o9@KW{2)k
z;$5+cxfzDhZfs7qw_vp<24i-y2>&z$y|v+iyeW_!Ols$J&!J|Uubxv|Yg^i#Yvi+T
z|3Bw~Qj|NGqP#a(QHu9q4R#k&$(aMdtj7_|#0=JV<<Kb5%g<n?5x!!?pR79#U!cR6
z=#o@KQwR21mDt_%+l-u_UcW7Y5&TvT-w2`lI@Ad5sc`$nU2)`ZqAUI>DjFAuA%4W7
z?G}eFW~VOrljIHg62HzFoDhm%VWklv!a%>{cI@QAH-hte2)s@482F#|NU=6}Y$s{(
zvae+@AIJyXILB)8ZHdq>;g>6)$3+=`I!LV9QuNDD2Z<*pSRUrBuGfPOo`L=EHTaHD
z4gaDS|LHIL^&qx+80quHf5cgEArdJ{a~}TJHY9w7f$h?|irXcfh(2~n`a4DF<m=7W
z@gJ*U_3hB3{}LLhYY+YJZPgLhrS!Y05+}i2>A;K$qlBORKTg)&;XNUID(0M-+0AgC
z+wNSz6F!wVM!S=@$lb{@$#%v}_3*#-MStmkF;)`HXa6ucexc-=Ydht6+y5z02`o=)
zddg=6`v|@w&3Xdlsg#})zv!Z(z3or$$k8Qt=Nr?G_wBk?W2W5cCe*;>VlVqsPsVHN
zc$>es+vct80hMjyeIxdg%y6-p7;E+Je%POJ#&1!@{u3XsKik!;wl0XW_;|fiqv9;&
z3QD1s-%o11<G2E*%7u@<etsCty2|13YtmRD-tcyDL-D*g8d{sro%^u1HrQrZzU0lO
ziT1n4ayCczyKB}>Hpi}Eslk}jD6u+y9|ez>%(U5y-fSy1D*`~|c4Po8NsCl`4(T5*
zKEsD0{02)QG|62kd*4KhPm}m5HHqb*iiADM(1i^M+-bs|Q@+rm|0KChPUyFDSS_5;
zZ(yYnZXe=1ljCp^s?{&);?qMED!&1?#p(jh7|9~+Twvp^Hu1D-*>@IW%h^wphoc{k
zd;)5zm%-3W=4VLv!3R%tJbu#GABQb8-&k3~#xE9Q@lSI)c50ig1|?sFLHwSm^cU6F
ztlW22b^(IItm5ZLl2xU1B%4#db0kN(!;%C=vJjBYB*B84z1Hk0o9@_|(8lt|5hiPU
zD^!oz4vEJJewB*GH<pPw!^v6V!?V+!h?UZ{`S8mon*eKdFp()P4)C{Y?GSRFT3k(H
zY7JN@o{}?On#OaWMj}3dd>QaGW<Gpf<P1+3=S^5CeL9z}WiR{Cd^wC5XsawD=ZKb$
z=Ok078=zu8sFwazjp{tf3Oy4Vk4!I#!S(TS0wzL!W{E-2mWW56#Ud|UoNy%$jR^Nn
zPH!0+VeAb&`i$&nz{nl=7Xc&m*Zcq@mrS)A<D(Ou_Vg%b9<7Rtus4kv{toEK+A8RX
zNl72z$ho>#ZnjD<1+U;wEv{x+pr2L4gy)ba5&uJw33`KU+s~XF?e*q8Xr%n0LD*39
zM^g*G0<)<5A$~VN?DFuq`3tgE?;|_-akFC9N|V?8U1#+s@?Q3L_V}&+v&p~jN=~={
zkTB$=xLEu%He(?+^nQ3q82IcfBxf<oHJkN2CGeyD2%BpvVGiL}!6A4soS#9ZkfjvT
zg80FIP}xaE=Yi}kQI~-8F)8wwu(Cpy#Xrp<?6x^5#cl{>F;vQcp&k|NBM3vWo?I{#
ze$mxWgQ0e(RLe~J8CTrPD@$Q*@?(Y7tY52*wKWDvv95CPk~;C&HFEr-kKBR-{YmB4
zSryH(1?M454akBM@N*@Vduot~RKzbOsayo|V?(l*|B$@9=7P&-QZCO<c;xO}o?!(5
z#^1hJU2)+#t9f9Li~G+H(oiLrCnL~eqXra}%~`xG!l5n`Z^EHNYJnmxcgvt&%2f5Y
z26>SxiS`qZJ-x#mg?}TEldvubfYikw#o6MsuyV{NKzg9x6%+XAf_88S5WI`8?@?5D
z6(E0*cCpa~q;2CI1TmrCT`OkWkjey{?^b)J(b-yS%|L9)Y;$TtVz}A$qy!gVM(G_c
zzL+e;0<m4lZYRyk-}52Etjs@5`@J0g3MAmWSZRd2rXH9!|0QkOdqFrb2o&ae2S|5C
zZOzQqs|eWD#B58eJE=r*mePVklJmJHPY7y5yUO)-d%6Fe%mN)L_$<_NLc70#4<2Y2
zKN+4)*{d+2UFKGa^$vMpg?j9Ht=XdK^5`}mVMKnrZ3rrbEV1tS<-)pqL)&3CaafnJ
z$rx_&y`?Z3wzt|@OCCX>(BV}^$~%d%c?lCYxs%}kl*Wh%IKB!2Psm_(aVQi{2e670
zp?FnR_jXxP6T`(n&7q!OWvGd~UIZ#FdZxe4u1BkMeI-;%73f?pH~Qc*%e%n^`YMab
zTdItdF&RB|J3k$M(QONqab^v5lsi1pxXPL8rPhE2-0n~LaJ~bP|0Dw%wq*P+=r5>f
z_%7&03?``6&j9mTW4mTrQuy!Sv$U^+jGHZZ5EXGAJ&Va^Jn)39o9OK*CXx7BtBgP&
zxcL(Qlq@3?^0wqD59>8QM0^v8Jxp}@@p=5DOM_$YV3^+CV&sm{OZE?w_K#XEhUbT`
zG#?@g{YCYaCRZ^(4sD0o#8(=|CUdxpKoG=e>2GteU#l`$-cM|?VcS-*rXzG~8HOKL
z>HPbH<Ft)E6hF@6w97i#^60Zpj&dhe*HbyEy*?TN8)j1#w_&f3Ob2>nh7AigDXs(l
zG{G|R7-V$O6Azc}VMg>`cwk0A!(grOo?7vM_FFIUsJPxSO^;vukqP{$__0_ivZK&0
zY#hpC8{smBxfj^n-aI!2w`|nqnUtbRPEtyPK%A5_MmiTf9%_VK6yyb;I^@NGr!Mn&
z__Cbgi7DKGmC~nBhmla&94izU3B8n@C0a|Tl4<N?kumyDT5Kk1@`5r?^3aTz6Y_wJ
z&60<(E#V>b0%gcLCl-K_oM*>5G3{ak=fwD(ofE$i2FA{b>96@YCq4%wyPBPD3*P~$
zaJnl)P~dd<v<mfCs{Xwv!@Upg;76r87^;tl&LsnPq95g}h^vcsI8A}(FiBgbQ>Oi5
z>itJSXmrokuWACB$7AUa%32GR*RR-VCs>T(|LlalL;8fUy{7(?$-OU1KI9)tD;^eK
zz-DOj)g|ZUxIseTZiV^q8_Q%1w){YLs_QIbQu*y5l{%{Bo?}IyGKIx^pwam}G4RPc
ztn76CdBN&9fzo&IDTy8xJo22Gv8g%OOT)Djerr}92ROgUsV^SHK8A~5CC@&x79YoZ
zAJ$;`Pk%1y)ZE1*6fLW38z6bfYz<B>Ak45mF+pL5dL~AY)a3Gt_MK*l_W!F&`yv>)
zqFsrt10*SU(3Y4IV1U#|vtm8rKHGjkI9rY%g?~}l7X9T}jybbo;h(Jf7RXw-xLh?}
zOGav)P-QKKj=hU8zo-{j&5qGmGaLhpG>6A4mFdGPEO=sZ8U<xBq)5BIwumTTR+|2n
z5=2hzDwHDcyO80Sp~uU*z1w$icS0R(uOxn0;Z4hZd}WA@iWUkN)UT^8<xL9ANB-O7
z|9Z(o*YfBIcv=gUz$~U-TH6rpBN(N^dIAGgy0nI0bivW0h4!|DlgXreyXA@)Dy*jc
z4wtdf8hpgigp1FRRGev3>A>j5Al*Se^Pb8`9<bhV$?qk>o^*F5i$mF${9FtQp7XpR
zNO)xyx$fz`E7(<K9_8QDb1?~Wr3)#tPigK9(w)E}b43oC5UZ#s$mlenD1;;lml%VL
z)S6J7iUUDIYX%u9G}>bk902u?f;>r`OB-h9!Cg5aMc+?jg$OBfaYOOEI2>A=&ke%f
zmir*$i1^fyn_cIujk?+UUILl;@EJwCCBqjt>1Vq?%B8MY)+J|kDgMXnZRqpJ9qonZ
zSP)Ye^KpX9`XqsH_inqS3Hc1+ot*{?rteNRx)@&HZM0x}fSiQ~&S8ttsLjr81TO{t
zIfT4!Y{vaIq}0KuocIm<8cqg&WML>+Q=gXFW%OiF16~NK!9ioYGXz%>vA{&TGYv6S
zc;X1x6I;`4CoiXQM<!7T({d(EkIEIMVn3|GUdvH4v>ig89+yL@K(~*;N+Uv5(cgPW
zI~!r=C7N`d#zljLGsy@hAz(P;nuOH0w&!YF;5jIEZ@SAQz&c@;E-PQE<iF)q&=%tK
z<k9JP_AXG%8O?MueDFjw;V0dEI2I7|&@~#(w83i8?`q<42|r`Lh$!?I)qSqqXr@b{
z?J%488M9<lDK5k261b4gxC}?R73jGqi;NV5US2(L6YRd#qUeAh==kEq2-9(X_;D6$
zPU7*!VN`TrmsW3u=5zt|%LtOoPa=C*DP7T({{$0jMWl;xbvQuIp@bOxdSXSGV$NWs
zIE%r-=@s_~g-Omj9}@11WT4}Gs0HNq0_Q{codHr`#=i)VqQ5+V6vu6<f>CF|n%x2{
zso6IobxIXPO7z|bEVWkmD@A+t4!Rqo<ZiGBN8z3zK37QC)D&c4K^*=n9uLJZ0S%{u
zB!P@8Vq>I!kamWan;*d(`E@LeSbbmC?cK3(5G%zQ8@BSXobgbDt%3!0*lKsJq?ifg
zH*+!`k_^p&uYL!WGT^J-=0X!5+z_*#T<{fs(WOX(uh<UXA0glZ8x9K6sBdg^=b(r}
zR`fnm&Ia{BAf&Wcci+JZGY4F-q&rwAhez(dgB9!Ax`TyQL<r+z`iCin=LKn~atDhM
z=wG%3<bhX8A0%=1FPx$*!XwH675|A6ScXUTaa&4<tBcD&7Pf-<rh?3<E{fDujwnu&
zC|W4BA3c3eknW(G^PW=C)0YN&s?4Em^wh~9KQQ>FAlV5Fa@j$oLAQg}bosBo-eFZV
z<-ZSVU}bPlq~+?8FK}0oh}4-J04~U;GHNdbF6c4?s&esNFb(sG3-0Uk-y}H53=`p4
z|H@a%C^&fhrQCZnK!)))J*$J^v{SgTgamx>TJ)R%rTFbB5X-97<uXt_fRX^$`;!Gi
z0E`RM52V?-mk-uJ8HX=MHyqv%N7!%GmPTiWz`lvvY+J&7!7_@c|BvzXzjAq6{0?g{
zoK4ZV9dNeYuQQFAX_Itwpl!c*!%8E3IrdyF)Nr;7GzVGBJhXnQfdCsIy7Zm%A0Sr1
zUBP=<S!1vAYrhXo&|B@~*I2-t;c#>C&G=2u5m~`n^00Me=|?b0P5|!F(3}T=!%xO)
zQMS|;04E>VL~n)uVbXq_)na(cH~@DnQRpwK``Ebv+zHTjm`xmjlWZyha5k4<=uQC6
zQSPMbawPfM>!T4cp*B@&UGhP52SlbrgXU1#5|N`_sp!C<xy{g=F1mi{(QLysR!X-G
zb@Y+(EQX9PME`>J>*fNETuAAU6q}j!3Tk%K>%e3_H)qrY13sJB9_9{*0g*ccp3KZ^
z18>Y3p1@mQhn3PNbs0`-9iS^VYjuxz>ez{WAelPdU=`;=we(B5d=Hppvfc|VlV#tz
zZfzRzi>@8+K{_H)zHC+W3r;^{q>eL(XkS;ghZwhOw-dYkBhu^|%2bvr1bY{VxNx4b
z5OLwNOA&V<;v`}LL>#{}M11Eh0uiUbf{1u{Ogx74Xm~c9Nm_9x{)q^PS+QOm)dCIJ
zm7b4tB}Bl_jJmxfb@Z1_-Q*sEbJZh9&j6r)Lu;BpatAh@z267N_=(^<+~P=%9JM+#
zA$k~%7CJE*2pjz~tDQPGUE2MJC2SaCArk+T%M3Y|M*w^EKK-g7FfP3L@EBRE_wF4W
zWViUlpW%D94B1G&z9aaUUcuz_@sejQ9KAmI;>njZ_5F+B_l*X>i{r2vIwVj}3GQ7Q
zBnw|G{ccipMuehJaylgeiXx@s#X->Yz~PO_C6pnqSPzYZVa5v(ymQ(s*Z6RvNX8_F
z3PXT3OKY(D>T!6+5TaxzT2svq-mIcOX60X_A|eN?*@-Z&zOr_OXvdm`s~OH$hrPj4
z-lJNQ)lV?JS6UNcEX}<$Mf-ixN#a`^s>PQSo3L9ZDapr-E*_{+kx6M;qcKein0}x^
z+#%R{lw%3NMfVUW1e|F?TcxuOErzkTq|=-jZ;x#&R%5Hn=wH(iZMChKg{r-!@B?Nv
z+9uW-m)C^|%C=jICqWCv<xq=lnNiA$wb*KZ%)!ynesW|1+DcL^6i@Og7wuHjUeM_+
z0@>dd72oATd~Nk`NaRbQCoYi@+jT3J)Yi&=gzP0WKC=bg5(k9rHBfahLRK2DlAGcM
zI9PTSNzMg?7fWl-o`fme5oM6w`}z^R<)?9u8c^ek^$@Md-b$Fm$FoFqBBc<-3GIU4
zR9n}cnwy@H*kfKLHHr@-1#qpB6CxZt|HR-TfVm_Wo)1EL<>dI|&zWg;TL87+(5zj+
zLP2G|Mjyko>L`AHp7HyxTz(gy!x{|yRby~~zj0(|*`*DLdWFQKGWm!0i=>p6mG9(`
zDS&`)VI}D$fE5czSguib`ZVAdG0kQJ?)K4iU^peagSd((Riy(F{kETl^$w|4g%hd&
zWDfJ^$-~q)%jU9$rh`A{b3ZiaL3;6%ZbA*O16U58K_=3>%k^f9LCqDRmVY1${YCXf
zJs0U+3<QPQ#F1XfrV`R?bIFJFI?Aoc5*#T8y}Wv0G3~x%c7M3|NrdSrK^y`^6|(p5
z`s#>9d47<uC$!36iV$`~82QS(_lrTfFvMNl3(kqSvpf=&&+x4A#4Ul<LMiLj<dXBd
z+Zwn|9R>4L8gyWTe{7`bdCY70)Sw!N!|yJVb^nytP+|<xyoOVfYc6cSbH8g6D#3!5
zdPVexU?1UV4(bUkU+Ib{(x9&)T8te5y0nOtPY|Ig2hjX7tFg2-AsS&vJsD9=xLWFY
z4LP77@*4JNxK{7(06R7ZetRoG91J2GcQvc+Wkp#GB2#Kqj3HObL1a}z7(Y5c3}&R{
zaQK61tPrs@E^a8E7f*rK1`ak6%0zfm@8F0jmSHt)s>ruLpR+m&Mhze%A>T0%pe5;p
z6yHbshl}s=VTfhgQVLCaagD>h*yna|JlF+bm6vU{+5WDY#QA?T`@tMmi~Y?nvC;^)
z5%I{D?U>te=~i=P@Jo*FpnnI(qu@7mE%`oX5j5x7$KWS@4T|n#L^4CJH{zdC_-VWO
zXscB}{YWK`S~-BI^cU@CFLMyI9cC5Z%Scw0_A)l7e0v#3xwKq`l7;EH4eh>^U3X(v
z!^KV!CgXhYy$h;G;@;(FR5XrQBtBSqS(f<lYhoL)Qo1%LrygV&e`;|xiK#VUp_t4W
zFGZm=)29*nGT>><j6!)~&hUhBejZjzpH7*$(C;+MB65z%R=qZvI^6&j$3QjLc?cbt
z6r~(3vhyS>^eSjPbaKP|h2dgbyqwTx<Y$%`1Z|0kzz~bPaB;$wc!+~=@8tA4LL7*_
zfd~xz&SD(y#=q!JBK>8@I56B`q|ZBvmznwI`oT$9V1ax!YkgI;#H7d!g~$R+&bK{u
zv*qod=kPw5QQar;y98p_hhY^zlC>6e8X(XG?bfHA(2#pw_Rpq8`<>*33lIrIP>PGi
zZ?PE)mUxQ<W42eG!#!>YihvtW*bOR$tfr6_#1j@%+4;<KcvzJo)QGHPSnAkdA3<1(
z_2h!3@Qbc~8Z6aMp2M@PX8l@ith3Q8p!g)iwjBKA4C1kC<oHD&xit^|%U+{aMRRPy
zc?eSj2#6B^bY1qkHb{hi>JVaZ%4M$z1jvSDxdLvL4ND=I!lXO4e-R$J`;Kj_YwM0J
zy}HHCuZ#O{3er&Jjx8h5VxtBcmCaeaEW)EM6K_62HiS42J3nV}CQcdDOPLGMok3ot
zN@B@});r8m_>TiQ3G0FYOkMm@oGtzhmc{u5Ob-gXV*)Q-&`u7ayg%S>N)+YI&RNLS
zG`pUZ;^HSL!NbLmlLeXW$VL|ato%D4GR(^S!?yn~hra?D_#IXn;qIviwp}>64)=Yg
z>2sK_gKjHz<lx_c2TrJWA85`4_2MVPyD3|BD`bUSE3xL$Kct2bbaJHCqMvpR<~^J!
z^cU5gliZM%$3xp;HgTAjvB?;2FxTPQDkJ5c#Mqpa>+s?#1YD58>f$sgoDOIe8=!bq
zR)=#P7FC9t$m>Y1!)I3M`g*7oaxZj&&gJrreQ-IL>+r9tjFd4McTV=@G5n(27T@8B
zqg-m{LTP$(avj?JDL>A4K(c3KHqnytJYhprbiw30{IoSkeiIzlYksKs2^u|2bUD`{
ze$u7Ev4=HGZ#>uGx2zWZv}-HP*NH-Z(S8*39%wtvCce@zHkreX<U0I$mBI3UVv7yi
zx{5X3@s#xcRq6bH2FGa|e<*f(Ru-pS*2$JfpLKGS>myB}GFW{y0-F$<s<;jNXk<D{
zHZ0hr$aT0hp;dl#j4pcOVbiav=)jJS&j4xBO^;vukqP|hcnwyH>?pJ+PLfg*vSZ_v
zqDoFuN`pW=HD`=;TzoOq2)QW83qEzoivdqv=5g_C&hW$(ZpKRKQ>a5pXbc@I6c`D;
zl$<5n`MfBZ#y%DqqyMDE=J_;vL769ccy7F$kOyRJmOO-Q36EeGC_~n{u>g$ZJUh;f
zX%`bXH^%Sm-1y@#Fm`TCf6dRi@p<e4`Mg|*767Q{J6v1!v{=#6$4T*l7G*{zMbM&(
z2?W0hGm&Pq1>}wAy<e5JdLP}v!zM#)vu>m7i2}KorvGGGp&v;W<RA1Z_7y+GW{8e?
z$sPEgK`M2G%RRk{K4n^puRx>oiNc3O9ac-qAGn~!jv)Ad<Wm!c;E!O>vqA2SvG(Sz
zW;zXFpCF&Byv3SaUJ7)v=ZzqR!^Q6SAMf2{U0QG&Flc(=Ps46}%vCY>#IVX*4r_&D
zHG-8!xDI;IcFi|F24Uh>d#2H`q~wTMO-^c%W2Lj2C1(-0I-lUH`NNxD<E<;jr&p!p
z;o_JamXPbT5^5y6(#X0**Xcki8s7zFy3!Zq3{TAXQ?OF{jH?_XZYSE6!EQX6F5P|3
zJPqivo^{80SLoL~HsL7E)$k!Qt2Fyp#mfoD8QGXM`)YM_V3Q)?QkaS?$61(pIjauG
zxdY_FwJw&Ld#meNDJ;QU=U3xj6mm&_&5!H69#TB@6K5$SEKjcLGXnvAILpV`ULTH!
zzlJlo{G{)LsqinC;aI=hW!;6BMhwFwRajy;?Wh*z7cQtLdXUMSxEC(}Etebu0=_7D
z=yJh5mrw74O0d?aUOxSHu#aGL8S4o#(VBYkgb2qky5MM0e*NYr{h8IYACJ(jd-N(Q
zGv_&hKmXz4v;T$tKLqIx@|pKkM&E(;j?21xKHFsefH;(WS=Ys&V1CkCknqYZa=m=K
zGT4>A5y+DwdStn8De|WwSQDf>fkl=d;0~N*iftA31P6Ya)W9!eV%v?ufoe@C?nHHP
z+?|$@kRE@}aj4V`@+5UG?V}-Ae$q&2Y6A!f`FWfbA{5ZY4aM`~Z-GPe2|_&5;X;V`
zKR!LQjejRMT+wa3I}Isc;oKkPa#y?rCvmvAC3!Bz27SRLKPRTXkdG4_jX&img%n$J
zkTjv+G^$FNZezmq>Re$eUWGN-^I2+!wnM1myK*QMTj_UTr4ga3==1HMIZ8j1JUV?l
z{d}lpZl`%{$S2{0Ckhci>3*kU5ix@$6utnylnYGww$-A4p~GWNe%bsRM4`W^?o(vq
z4#jt%?J%1->LA%vil?%<1VeYGNN|+P%QY%BGCxPD-M3m89ry*ICm)M29p{H1L!;&-
zq9=b%MdR36B1-ya&oKqmFC$1Uk096!E2S%XC<;gAC_OZX5@PVdP$T5tXbeV*vltwl
zUI9-Dlbi)l3HL=Z&;d{V6ec;8qZGe0aOx>AFa}Q1U-JV_Jz3<O90)@7q^by&prQ|$
zYQ61aiZ-`bzS3q;%EJg&L)QIMzEa91ONS{sjAf)n;*P%Yn_K`06?&FrXa<~hJygno
zvtAtRBe+3kJ-Og4{Gz)R8k|+-v9C8-&G{Dr-BE}`SlQsi>xj2j_ijia%p7pXlI~J|
zGCXqkUCLP3)?Lb2zS4gR(op3tB_q(kgb4@)uZDMBEO$UF2$v`WRLmmLWw@m8e5Jn#
zG9wi`DP5*ysZn!qum^}Q7HaKBQ+K|})JRi?gKExuN<~xm4)#=;L)mDmlR<u<@X#RH
z2@G=CL8L*qgVuEUudqLHzNmqf!8wtxOVsOwM5NB-0B}M!l~H>ka6*?EP?d`-VN&K3
zCtU9H;Urkdj1%En&)^ag1q-Vt9pzp|)#}nADW*^whKnLuC}4X7+n|vJ>I>5BY~q78
zP{&|CQqJyR8O76QGM;YD<!Ny})?m1sqH#OmZZFNDRBXpzjFm?Ck{l0O+5vNxz9o6s
zI?~jHT24Uj4e-GO$l)hr#VA{A3y>oxmW!S1<nF^(i{{F&TXDoAI3V`{qR?Md_p@^W
zxsO8IVK#9<PO_;4$k|--0dkIVeWV+edfR8tQkyEZHu<2s*G8s8Ly}P05|N}or=kOc
z>K=sVbkX%o50cBFx?f_YblZ@TPLy5wNw1)0H@yz5hl`$@F=~PZcY+#;upn}0z>}F7
zvv^3(@WiAZgq6}KwR+Cd<CCe=4Oa0Fz}EE3^^TmSO=!Th?A&A>3j~p6FXb%7FS>TP
z-Ec>A%2TY0ezodnjMQ<GRaQf^ubtaNjN7$U#4i7cG`of}m8A;7-UUJ~oTn^=T=?u#
z#2pAZiCEy~6Mkn1`SW043?Zk#f(UtdO#DGlkvtH{lNlDxiuGcDcp_Njkuy>?7R4?=
z4t{3Ty-ZR^f7#RxAZO|67j(v(9g!cZO2X17rULeQPbNs8o~?8*y^*S^O5Xuo)s2B)
z0|XR?cdXtnYxVwa2ft&bGwF|)r}QI|VJ`eUoTpSVyZA6RW8Dnf!yF-VHq0NTLqS;n
z=OeU)GL*V#Q5s#m37Q@_pdm7pei0f6GfWvu86#+C{1!f(C~nc@`9ekN#8h2%B{$GB
zl<NFXPfz-9)+`vS@cgAGy&t<}GSXiLPE)3SYK_J;BYEjb?}N5NUTGk6<Zq#Be&)#U
zLM`S)p@<DQJ?R3okEBv4o8&usa+8K-cR!(EhGMV>BaKwKd*3W&F=Vg)42yYh{^iNm
zp3qiB*&2qbgOM$Bu;^Km&puKt#gVcsDRK&2DM@YqD+}!2wi_+~3rsGu(?AlB45cKc
zd9?G9X4H_TqBsc$I9!~7|MAYK1q2atyAZX=$>_S4iIiXZk(o%Hd`_>R*nBo)^ZHyi
z7iVG(2Iea29bj%8snIfy^5sVRMN&%s$kTJk6dU`?u+j*3h~h}@4v>Siojgo^^J}h6
zXe)Rq<u%Zp2f4*hx_TL|1+W~J|4iie`BsbO@@^@tKyIH)6#9$mAVDs2`$A|t%q9+l
zNH&#_TboNh<knFxFPEs4_WT^AcHc2W4=H0JOxJJ>RG~y1V?#o#`~??bHw2DRIS1(l
zedHk3Jr9+D^o&%GU$0(HV`gL@Ee$u2eRNf*-FZwsdJoK=ZVybA3`f#^L)Lw`B%w2J
zh%UpM&8us(-41(i;BRG03+sy>JQqzp`U}Z5*LL4?`||-(GAl4+wRi?$=hfCl&HoMd
z5e^ffo}6JKR-;<D9O1IGc9ahSp(zJm{D|j;<W65T^ravgEJr;V0ZO<?>ZwOLQXo=~
z?gey|oPKw#9Ge5bnH3-y#)JKYxM(VqJ}6NZ<H3{~755^G%kf}Uq7hG?9|kj0ayWc~
zi^Jv6I1v`(;)ddRaW`;i;3!f-d;2|h21$8z$PUZU7&cF|AO0%WiYUZ1fNY`MTOL45
z((fo5C?~_kXtKB<%=U20J9;G_Jxt>KKVaX@VYS%PT#J=PxPgf8X|`kD(OZ&-qdVnK
zhgu3()AlYefDfL%3x3jlmFV6@BpT&<BmOCcpSGB9uv+ySZKRS%p1hW*^cU3^t=#>~
zo1pD5tN8v!vZ}Oyu{q`2zc|XxTi#K-FJ;u-z|?SYbA-v-eg)MdalbM{MdK(%;?=Kz
zhURpk^veX2%i~GDjg`{1IXNvT1MgFdOFihN)_{fLft>MDB*}fm@GxKa4L;<{fTuAt
zl4Q5%SD4OSu~PbU%DkR_k69Lxb40dkB$+zh02S{Cwq`_<$j+0j&;dYG$%EGXI}m#k
zgGa^7iHn@b&nz(r+7b~(Ar^UoK7=drFa_b>$?0`OQ4o6rQ55){#VK3}17lGX^p_o{
zP!M9!Z{E=jRxZvXYm|-?HnS70sb&WsV5L81<zJ&5ZC<H6zcnlA=(<V>iAjqY&cKGN
zVf~W<faJ+KZ7a=Yw|~0P7EENC)fYQG42@{YS_?Yo6QU$9lURtISCl(j_RppvyIyj_
z1%iZOC&k5L3pPVB59(d7?UioyFM>nx;5aXaN+Dw@qy;gA7gAa6A+iI<+A|ZaP3$4K
z+Oul-Xin`^`cLT&=Mq*{AVlJy<}Cbml_9)^$V!HyJ`n692t~1;Tu>B#(bZ3bqWVcU
z`emzGzt3VUum7}*e)?O^<L!8aEP_gXo_OpUIeyVcZq0-LuGYU>70s~)=OIiD?3taQ
zpX;vHuY*MB09lB^DR;G!7;Jd}ZrCp@g<uMkuE_550(0I>_D{O6$i}+1uE@$qwm@)P
z+&?r(LzOGCj6jQxn(tROXYsNKiMmYuVAGAR3GyOU5=%E^hqNrHIUwn&Ku*HCAV5+V
ze-vknt3l1?6C@oD_+kPhUC<s5A-fy7v5F$Q**QbGi<DhYuHMBYitlhSku1e*7xpm7
zH9E$Jyj`H$XXfx%fIHV?r4jC%dZ5~clWX*q$t=*(f~%pH6W)C}eDJ`#_{nf>%5H@f
zni9)3`gc}~)}pH|REW)SX!mc4LVr=+Gs%T^Z-=(SY~s)^W0Nu5V6M@-s*IF(5@T~x
zuF-E+A>eBntS&wch0{T-;@eQXDyze}Mt@disENFe<Qn~bm98IxN+I7u7wB9r|Dg{q
z2Xl??_d?Sc`1Mg!UB+bGHrbcH@QZF+pp5fvJV&{C%{6NGr<^$7p~$U~*+h2mT%$cI
zx?pmRu1%iuuwL^Z$kU)X&q{-zbZKyGU=7n7&oz3P)nbykZXgQ%Mf*|Ar$O6cHu05)
zvB?~6B-d!W%3ygvvBf6z${`(r+*GCW8wbZ}8+<5k&f~PpI@$8*vrdk3eWVGMyNO;O
zjld?vrYdg3PL51R$%X}+6uCxkNwAFkoDp60!~>=|W<>9W;2;5cvoPs;@qqSQFY&ne
z^I77{kBdKtl_EO|?ZN4!l%VXWIHjnPla$gR5clMak<JFcnII5+>W~)$p1RB<;@{>B
zPizVw#7gN?sN+cfQ)0c8oF%f7Lw|0raPzXrcyo=GcYl1bSpsB*Tv1Sbl7~g{a^kEQ
z8Ji^!VOzo@)dk9sbyh3@BRS8GvtruC1kQ@_J3A{r6?nkTis`TUIV(PwCvSp0d=*cL
zc>`OI+}1n2(h0GmppVnx{S8D?ZxZZW#T28LChL%Zx$%tmVp*&Ap#^mP-AK!7-6GeM
ziE`*t|H-sGO*#JjlU>ETVjP<xI_4$6=xmTm9sYOEt)fqvlj1yRbUtBsuaKkJ9EUgT
z7Oub%;C=z0lqleS#QbL#y%lL0E?$}}Cv53j@N@8DH3yX<p%dNUx8(3u_)u@eN+VqL
zJixl<23N`M$-Lq}N?OtP=dgslr1wINh&Ls?BxGHpm-IR+8jp|7^qRkxGdwZlcVngW
z8CPjP9Ec8Vs$H2tev(X=4##8y|Bkexe-8bcCnVfQ{vmvb%qq?P_v7Wn>?0eqW?wC8
z4j59zQwmd&<s%ClFK5-^BmV}-4W|{w63k0J@I}H)roZOLOJ0|mR#bOJ)fLkdE4jzz
zgrYguN{`h^SvfD+M4tdNpo6LARx=#Rw@TLiQ#R332%pRz%6)G6Z`0vESMt#1aC_nq
z*Fz<6vr@B(ULNct7(B*$Le$gFCW>El!O?>F`pqUfV>NBcr0(A9Mm>7FG(V89aPisy
z{{3@<bO-s&dn)7Wz<S61+gpP@RpwCk{aY7<g4smh5+uAbi(GFKzc<)bWgg{Up>;6{
z-u~fsL4O5^z`xH0=}usgwfwu|BAH@aMYWI$v2n&w=Cwdk$fpryG4@Zb3B?*5h~ql6
z40QCkd5&zN_XT;9I+yn0k1LyKB=Yn}X{->DelBh(o)?dU*5(s(*vIxCM0g*c8``(8
z;Jl6Q+uhkhxfr`Y%C)Z8^A-?>;bM3Ek9KFoZ`#F<d|{>%-HneEj<ElfN_60<L?6wB
z>A+lJDh|LJ>=i6EL)+of_{tng#rFB}SZPG4Dmr`*X-Af@Rv_G=r0X>C=vW;C>yE4)
zbyN-isKHf|Zlg8Rn%PwAPBv?z)YkS~ZA)XOTkE!Ku(Mdn9N6Nui_}SJPx`E3A9h{x
z==7L|B~Z)ULi5m%)8T_B^aDTX=EJdqn6VHFQ}6%?ms>3c4Uz~ld@51sFRHtxnOH;d
zbZ9%wCXO^nHkHDqY%amjo#9fBa@#GHsNJ_(6&;ubAtt9pm<|huKul0`5)qR+6^-L%
ziOA?*L36r*`eg*k<pBaO!%FFj9tyHisYKtFLkThX&BTf@#rzl_Db8YWaC!wKB}{S_
zBqiJz$v_7rH4Ws3Qi<Ys21wnFe@(%Su!8>b0aCA6yc3vW_&;{YwbG0&nLPMLIJG<k
ztn*{wf0|R>TiTrIcHp#j8y;(3(K}ma-mH4dce>e~Y>&g~?WvXEDbar)XSeGNA5%2A
zy;6zZ2lM6Ew=jJ5BUyKWrjNp#yz1uc@=l{Q+Z=6nI_=Kt8fNT)+odY+qI&);Tu^@v
z%}5){eE{P(>EDAlGF<$hWM~GK^$=9bz_RvuacIJWyJOaq3(LYUx)f<xR+Y!Q4h_<1
z7=&e==EQh=8vL_uar~;BN;I-tJqQRXZQR{>K$tloXi4`ZPY;jWeNQshwRKNYi8LGu
z(LYQnyeLRRm3xwmK>rdZ@DIdFen;Z$UqnS&#7dL_Dt?O+SjI~FP9?fI$c*ZuIMtf%
zZp*nMIYpvqLDqgK^?5<MgKExuN`+GYGT2jP4rN2BP6qi=!nXy<PGFGB4k8V@9kiy)
ze?9#}Rz*|(`=AC^2IoY&E=YedNJQ#P4ge%%QyH}v0wi>q0ady9H!uzJ2@>w-bl@aX
z$Se~fg+JiSWE3f^nh2D;7*(swb)fhKio$U5vt)@7XyY9_c+j7^puSSL+K~E&X6JrB
zSOanl<_P8N4wg|o{XOI9|K#$tcnE7S&`r^}9YD9eUt(G_(<tfoK--J&ft5!1dK`~Z
z+5z*39+o_89cH=@CdrA$)u1^K8i${Z<)Un=Ei^8cNAx7C#qgBzE5FARh5n-bpm8Td
z+hI0wG)}UqgvQxi@}Y5#ayvjCQJX5YFxlV+Goi!9NMt%t**J`Z%9aQtEu*3X!|A%v
zoG!Y4>CtS%wOA?LHe{suWPyw66{J<}rPqP=@C7-eCQR^VVtbf7d@_+c1D?#xAjP-l
z3{QZsZ^BCHlUhBG=tq*N(+yT}K2%G;IPb_KTDI)mWPJcyCd*#RBZ^;i?Qr|xj<}S&
zt%`oZ>1T}8agtS5L$t4y+e3`owf7Ob{3Fur8p>3bDg=8M@VIcEvfy#yvr7?oz~dxh
zfm==Zox$U~_TVpq$LTL0JWfbPcuf3(PLbjd$defm&5HHnHSk7zAde`1X4E}GQb&K;
z)D0ky=$Y#p-R7otr#04?x?pp+)t-TiSL~(D)(kye2$z>)?{orMzd9AIFZX9c^~pI!
zFTVs1EXu9bAr(t=rm=CVIc{LaE8tjo^XN6BV|={L+10fc92OhT7OtpGH?AL@ZA@>T
zYL3pfZfK5n+oNNX&9Q4nXR$h*Jdd}KNzS@vk<q!C*0poZQP|bM|L-)Q+UnW_JQP~$
zb8H%D;qdnQ#?)+cMGbz!&L&#p&6%-gsov2mPdbhj>NKaI<?AF$Zgp_<%A=2A1#w_A
zbJL@f&Bk?GM<-j|ZnI;v;JBlYKKe)=_o=QqEn(sy!n?#j<%&&6`Qt%Sbpz|SDgrOW
z%V|f*TD|w};QQ3Fr2X+Sw62zHa~(^BGqfs}7bjsebf-<dp85#aIGHo&`eX{h*%7)z
z*;<`+$+Mu#PX}fHlV)qCBVV(*Vyk1b{XGoj1@9DRz`Y?=P*?%|CsPQX5flPX{P)wL
zQpTCtRIraAI?H-;Va51GH(`CAncZwP=eLN4=NNswwR~oF?=rfdvX$jB-F80uZQLV%
zHu2T!+I?OYW=!gN*&D;7cAuBUy3RZ=dtZ=-D(7X4K+}!W;Wn|R;d$Am#B%MK<i{j9
z9wn9A$F3w4ul&JOzb^*|?@_<c6V2A)h(DdzcY=Kc)sOY$Qa}9SQNJPOs4+%)wr^0(
zN<8)pt5Hi6^hlPRgX=}ulW|xW(7^|YxvnAO7k$Xq1o%&<c73T?(HvHA0>aefoKEc@
zBtln@kbz4%or*Ho(oDC33yWT=fqP<j)NTV8>)JAK@;(6wjq6-+eUOGK296PEu~E~G
zpn+RmebZF3dq*U;CCp)RdDBXc207@ll2<^b3@2qe*hf%FSx+vLfnRi!p*bnlt>p8p
zMon{)s>!9tr?af&bBMXFA>$W)$jMgnHmjmJtl$KMsmZaD?+Ox;%G*AzBpZ&U-fk-y
z7QIv}`K9ov-BvQzb*7d4mmm#QtRy4QVq>b6JiZz{RI-qVMB5RzF`=Ys6@L@tn8zyq
z3Myq-#a;fw)aDGOWIee|1b)#?gk}}@&=E1lOt<&AD;2c-$K^q4Q?<8b8F^o+9^}42
z1v}TU?=0gNec;Kqag|juV;aKL<k-eFK_XJQ+ox@0!?BdwZ5zV^m}(oJ5gxVMHpaTn
zw2hmCG*q#Tj6jQxskZUYN)UL->@9*K!m!cbrs=vRI3SPddI40*FkP<-_7U_aSWhm~
zg<o_H)=XEGNbTFL=1jd#RjHD}a@-LQY|7q2e6_lEt5ldVsVep5@TlD?73<nmsa@%0
zMo1w4mnnn)8l<9%QZW)MD%E2W4v|V~wwGB+jMx6z9Qbd81NSK3f0B?`3zi>qT6C+a
zC#G}-m5=r0Qa=3RQNI5Ch694sR#wAIzhOV1!tFQU7k%K?H29IHqpgY=(-5X6$8T60
zBqEi&efkY-IF@d@ja*m&Q;pncc+_qq7wg(Ia*Od`S?E0bhpFk;25G2b;uwJz8&my;
zBhXqU9D$e2+#|{r#jstUOeVZI$OMnMdm&WH@HJi?>?3IISWhl<hhKE9*L;os%-y@K
zhE1!Gs*okGBh%cylUVE;IDXLwo^0;^-l}L0EI18eYI4loJwYN;x!b3?W5coZ)NSs<
z0+?#<eiI(G+uX&vE}6Tdj}dwg<_`X0YWk9wnQ~)I|3??&MHbCi^&UApw|R5B(;c0i
zZgjfW&b7O6HTo7jkbM`Fh0{Sspv6Y5g&@$r0<BhRAWzBW9pJ4kSP&>-^5x(lUpy9Y
z7%F90z@vhF1XYjq<T3>KMK=VR1*{IAud^C8rNoerc{^l0otWzyGJesAoNW7^ZdEjg
z6`X)DH959#Do8{sZ~L@;Y&e$Ex@})r^ipl#E#XnSZC|Ww%l2WgpHTe8^bb?VUmK*M
zimS&6wAdK5eetq*>(~`KrfL?4!YTW}uNzJ-DfWPnwBlSm+-J|7^LRSCx^@^p*#}YI
z3yO(ID)z)tU3=r`8od7oahNQ2XZ6*oVYFE7oSE6p&9QE~!vlA(zOr_OXr~;;cQw0u
zTL&Ally|CDJM|Or^V8PM8+du|OwmPOq>|(nhibejzJlGdP{ULDX<LnoB2)j-8jWej
z>cvq&1AEeFx6NCRqFC2$P2I5I>U{_l0?vF1+A2Liph<9V3B7(Wwyju=t?JhP9;n(|
z3ZJ`MH#fJ5=x^6Oh%JrI%(h#KCqWCvC!iL)#D;=ati@LQV~z|C8(Ekkx1?Sup#*F!
z+NpMhn(y8s(12}G2_6;_>`)SiT>d9?#^o{|0{d$$?0pU}PuhM-qcr7J7tDaP{T`|g
zM%r9MRx(uFkK<+6b>*b!4}h|yie;Ok?6dpU-H6`uCplAL%GK*|k6+*J;8SoDtxa<s
zd<#yz1E<YuZC!h6ZhD421qX&NtBza_i{ZZ{?LPqj<DFZ5W^hF~9TH$H$e?!8Fel4b
zo-+ft9~x6|F+y^C0%ieU;R|p*x0+)7;~3-Xxr{H4z#8m^wi=1!hIah=<+4i~ofcjv
zk*81EFOpJPX->%@Q{2`&2`h~V-vKvB<u?)Yvoo(z5!<yoMhw&IiTFpeF~jE$-$`UQ
zWmb*1W^sr#kz<<5)Xmou^`LKV5%r%;Zd{hk4gKPqx!|Fp;cqBj0?m=h-=$Vp7N7Wz
zpLD%6{1xVMW!~DJvRd@pV5E@W+HMhr{-U}&ko$(>4743)6A$>7Y%1N_wz&l6(D{a<
zquh!t!I5In%c}?Lw%vDZl^8BAj4&PNho_%CkBWxV&t7bYUDxVYU^M0myeoDUDG^+v
z+Su&W+7q=gd6f)RX=4*!C!O6q)!5n`uWgxZ&cOF6xP?X@g{4U4Aa1Ts<qwjZB<gR6
zG3cW1m$tC9aHV=Pu>>TctW@|(@5#`hVD9e^TQ&VOYRbbXiEC~wH1-QsI=_q9;HOj9
z+~T=V*yXm9UticrL-8dj9-a%Xxts%c=+D&#U!MPdm7yl`nL;<YOw!+`82+kC*FT3!
z!OfGtT?%vAJ}D?3?1Rg}yx+UM+*AX<kd%ZO)T(5Jk^Q<>`HZlm+|k*FN6uL<zb+VK
zn})bCenVu2GmY_c5@W&3HhKd%q)@pvJvUurw|Q%Ln|Ekq6WrCNG~8gIYZy(5+X!~A
zced8R?|9?aZMl=<&AIX<mzR@8cK*0zu?yQ4Zs(7I<~+_5e$pi}-Oit7)l5<iMoIs6
z{<12aZy+}K>FmeOKMmRr&jq*hoCE20zFlRgiF}UO`J1YAedFM`T(a{w_rc|$oqu(e
zkuoN`>^y$awaRDb9p%;!$aqPE(i>EZuqN2_#@B?E5oyR=6aFe1{VrDnisxoNJF;}L
zwP~_B+pW<{4CubI_Zf!heTG@|;1P6&!~wKaz*ZO@YG~2#;Mv0hF$-@obilQ57|REF
zeQ4_~4?iLHp05xICFNAo+VJ<5Z29e3*dFn<;WIQrAfV+v0DjV?IDKun$ExY4QFEIZ
zCH=1r_f_fq$HWFdo&Bs0_e0y^x!`L9=Ro?}@P{fxP2@9=zTslZ|7D8eK7VBjh@XAh
zH17$O=4&7D2xz-1r-SQ5y~;=#qh0F*e$h3{w>~(^J!77YnVjL?eD?(Fi9Npfdh)4=
zo@TBmCqPh)A0b6>du|pF7slFi@L13^yooe>O|v^T=|XiPR}`L_EJ9%k=63rcQX{9`
z#!tF*#Z4+bD#10K#rjJzpf#tkT1-;(O+=x;Xog8GIf7Hrc9>1vq)IlG_Tn~|d^+eT
zcccY~2INHYv6oQ^G{f#St{LY?*qx~vH)FV%dV|X4R*g3&S~E@Xk-)uD=)`1W791_m
z8*r9DU)G&>$;zSTrj_ihj^49^G!Dnqj;c*GT2phd-G&#&Ha0f4rdr*tD{9bYV{WQj
zlaa`lV`bk&;6iKvEZI)t`<7(!4a*c)y*Ci2ovMeQ4As-u@*r&b0js88Z?v_PQ4-hh
z7;Ji1mCipyZ1B^Wq2DFg^z+bmcrLhpa}MZi?ge4ff2}gqL_R0DOh2#E{R4yJbjgzb
zvJXxNU8Y^PnX2Fyl#)P$YL(2jtyw;E?I?Hkyc;TMZhG_I7c36;7~_k>Ya<erxj0;f
zi-URbB7K3_I0xuz*H|G|3@N+ML$WQq@4A-3ZNKZ2oDj1A$0mzn*yeEizY?1Bz^VAD
zn*Be+s+puNjFSHC|As1^Uqo#1)7g*xzZBXI&jq*toCE3hf2zt*6ZxEA|8K0){SAZT
zbjkidrw>jC?f)yPjFd6jW&iPuu30|&?<jYI+y2MxkhCJb%1wZ^wke8R>&HjtJJVVp
z<GuNTIaLV&W$rqHpyboLwzq-XA>0rLN=QzUJ^rjUmwp=(wgKE8e~Q@U6A1ij3C_OG
zF-sbI?(Z;_c3bhO{CMtE2AeG2xD*C6T%4P5(#l`4#{jd$r@N0&X!ZLn5?VyniKn}@
zz|8A$JJ_A<G-oH<Q{y$<8v|}aXR#BVCOnBeGq$ycf3y%z-?&vF>RWjn4S_Aq@uAh%
z!6hmPm!{{CJ@=lp@Ej6akb*xR0aAjBKcLVJ7r(b;&oAhp(ik!-A{UoKWx-=`HLB+0
zd@95N!uEQzcoMswk(N`7=oBx5%jBHrrUvMj8(C?QWIq2b2Q3BbYWwm;Q~c07F5Y?_
zN52|Q`8yE2bsD|0&1~DGdh>Yi5=HD5Lg{xoy=25{uQ2V3Ik(|VosX7vd!O6EAHH_o
zG%3#^JtHljYler71lyTXsz-;dFM4v$#aKxwG5d$f@e?H1T<>0ct{pxBDrH<dJTurw
z@YWma34Is)nI`;VEJ5mRWlH^k>!-tsho&4UDXy>@Gv!VXLpL1o*u%oqlkp-I#^Uzi
zQVhE;u}$1{5^oD%MvS$3ci)O*obj)0`mNVhu4c76Hli%v{8DOEtVFJq^G#NHL+APP
z!(hi7IuQ=vl*S5?cF)BP#q(l+Xl>y4;7BOwDqQc-xHXnJ_}FaGO@jkCx1(3()~v&@
zEOZfOo6TBl0{jLv7)@{y@SvV2eW-!EG1KnW8Z+bIWOU~`kkEpo_3|3X09ulUsdy*S
zKV1ARABI@BEWOYKn6LB?7sF4J_;xjkKL7_&tkAGdQfS1zj^7^8e(Mcg*yuFCyMUY&
zVgb;9lH8_+_merS7WXVZhLuLRnTV&sI}SywR=)(2o6l^bxNkgmWmk+)1Sv!ig|J0Y
zB3$^GYhhlRh^}g1PaclG8G0+!Qa1x}L&!Hncf$t{IEA0|WyrDQ7$F|LC2ag+O2j|S
z>A25oH7NPwvc!*xN`Fy(>B_w<aX+*jW);VdB&$kbv&|{r-qKO-up~i|EbOI~2Mc5O
zrA)i~3f*w=l?anjYWOY@)gy72_+cs<zd5z^VrG7Y^vHk9v6D6*`btwM{W5{%-p{t5
z2V<plZ9e?6$tLVd;noIQ9B_x~SUUuzsm0|$dZ{&F8lR9eUP@VaG}H(M%xKeyd>QaG
zW~QvWC}((LI?u;S>C?G%ExX7@^W`vNpsliqoFfvpiDc?@162Gkh`j&KhYhK!&XcUr
zMw+vr*pnEH#>)w9Mt)|ALC}_nbZugh7cNe?63>Sw+&ekFj&yCr-axuG{LT`hy#@xx
z(zVfFc0x3U9*nTvVP(+d>5!yrd~~AIo*o@<jdlCPOj!0TiJY9%2XbQ4)dz5Lk;7Ft
z8?PgokU5O*SFeVfZDU&QA&e#<I0dl*h7FM_)+bfgusvwpY}hqnSj`_z)w~0yR(DSP
z3L$oYm_h8_vR3aS3jj!A%vx#knkN!dfYe_0cZNsVKb!pfjO2t190|iwii^dku^9`^
zp~&cvF!0$|D9>UPA2#a>>d=0KycSf#9Kt=pA$aheZ$PEc>L{cIbMyQYmDO_d9OxHt
zJ|;!}5>{5oviPStgkM$}!cU1T>tQDUQ>ecW_7Q}rSWhm93cu*;r@f4|yQck&EABOS
zF_yFLW<T;(X0v{+HWu6%SjD=^L96x#LTFo50_X6HK5}aw{BNN?&Z=mREjSNhY5)o;
zCmx4MbLE0LB}han8feE~@vib2Z21IkI4~@QFiY<i077r)Q-!|4U#6-(Ej)7fBU!Po
ztw*wAadX!MX{ho@79-GNqlO-p%~`xGLZvPfU!164HXgE8bGHoYrOf$wagZ0Ol2~%4
z^$v67@r6K6!nz>9Qx|^}XNz}$d7Mx1^pL1WCa}{5?dK3!_;-A%i6XwM02Q2V)*4+v
z;Wo~7n>F;wYsG9EG84m619^BG9l(BP2oj!}kofNZ$KH3qSyohe0|NsLNfAkH>mvw_
zOdtrtfI}ES(nl0z2@Y?j-%R(Vr+e(cI4ij3#8Xs842U^^aSbS9TGln-s%uyyu9?-v
zuozj~Rljpi<+@d;s_uI|bo<laejh#WRy?Ur{ZCb$;(A(;tM{Q04^;2XmSxy{(^Eh5
z+504}yh~0QxH9_??!T1KSD^%VVx>Xpp++Fw@~3i6Mn|+YgaUOLgoy#}UEDfpe3Q61
zXo=az(diK*if~aJ0u18rppZN7ykgSX{eCtHY!u;Es1<~L?}iT%*cU%J4o=;<aA9BJ
zUCBc|A+PRtUW=~hW1D)!rsVrLzorq!i`ougDdhVHXqzXKgnR{=oawTs@^^WaOS|~+
zt(nSBQe<8z#7#Lk>Yv&e5n?siWB~g@C2sArNnPy-h4aC!>QPX<DXICB`A0RGY9_50
zfJ!Su)88(YPixZkN~knjR6e~2Dzm3DpWI}og2=dSJj8Rt@r!L+piJ;psX)1dGL5U|
zR5!N<EZ}~B#+8c&OTLvbPpIGWC8@7dQT`>V^95Sa8al;5XB0=2zk|;*adl^M5^j~Z
z5bm*GFx-H_&?({V7$V87_f59Xu0RNBtJOa>$;gCUm(6lsuVsMo`6Twh==z0m{A5c*
zU<=`x-tM+Y9i^AzAMV)S;I)`#e{ZG{#*6l1{@w&_^JJ1MjUbad-36^{G!{yKyOX`W
z$z)|esl`TM2Wm~HeXZO1T}?XwO#dkDLlD)!mQgxnoqTzWS*Jj`W1H)#rfau{M!<&o
zqe|Pb=OoxsvtewL>ag)wGc2PFBcqF+8F>1HFrvw$Av$a<Wmo@OlbMX%Zm)JtPh9(v
z2r`VkGgeCMD6Ess`>S)X{$60i#D<wMcnxq^Z$Wd4>IrmnN`pYOO6Ev0!$GLQxhO~r
z$vUJ(pIKKJI$lvSJ;lP~uu?t?Z8Ql5DzHL<k+4f?E|HjBm_5cG78$4iti|SBVje5=
zBoAk&%PDz4!WPK`Z%gF80fjOY#gG+Xr1>0(A=55~i6P^65kr0+OiaX(>95&|A)hCY
zmyE(qc#5UMzt@hAbtadpKc@6wtHiOgsik!cP@hscWOMga1S(W*T{){6ER6>xVKhBN
zjR))Fa~j5@epUpSPI}YnOy%HNzqnfUdSHp|H^v27!QUABy-C;Ver%4%eiM|Vc&my3
zF0$DrV!!rJF74i<sZbvGH59Dgjm^+FObmZ-+<YJ?wzwrv+=vBGWRd_oxvw}G5G>-3
z@?-2MZNw<dVKY8sW~v*Z(b)v$69Ny5=g2U;@;={%kKo@|Nd_fB`Gdu=KD@Oxv0)QF
zq=u*Igb7pT3ha#bgtE(PfvLWQV;QKvku5XG34Cw=uYwa_Gn{Ay#A^qccbI=(LS5x;
z{R}G&N@a{d@Rq}TxIr&mK{<HJ5*0$#mkTgmEfq(`YX0aMua4H$64Y(d@j&%|B_tt#
z>H(;c>0cx1GX1H0sA&3xZJ~d??`v{bS!;{57goyWxCtGEJ?l_3VOjRLY@fO?L;wel
z5Nfi$=`RDB-B^l*ZVrV3CAdo5A4-=~-ZYZ2i2G)l3jmhtM5ZzoMc%Zs^qQ*yZ~E~t
zT)6rruh+Qwkg94Mpc|GD{`4CBYYcy*zh=juJ_8=+?C~I`K7zTT2S*x)(SrwlOu!Gs
ziOCIs?M>mGC5%C?Xz4R3L)M+u1vC)h8`9s}_R%)=8sJIXq2><*K2_K4zI%?l)#k*?
zQlf`<ZgKAzUBxP6jw|v7?K`U5%O=%2rT^{H{{~INkW(Hx$#^|f0{81yP$hHzDSiy_
zjcgz6@iWmABBuULRs3QLj&%%hH?tcc;Up3a<(v5rdrikTdA6Ca`hOJg10gy?-Y}s}
zTU!amNS8j(j+>>k?5U2;1L^6$tt&O(VtcYTNktT*o=T2Rg$TsHsrGYr;EhQXdWrG@
zwyVZ8D!-f?A`)aiQ&Mz=7bxBNCReds>CYgM=MaQXRtm-TibhTkUI&!qyd1R=$J2vm
zO{iXk3_wHco*p#urHDlcgq#jzX_CuJKXBCG?CN3|NCqj?S-}uB49%-4pwMi>5_^Wd
z2z5YEa)@^IGg4cUyZSvYgon=|Uy-$$H(U7dM{T>Ri;<55)f2PXsrKvh&c7g{o-gMK
z$E{2{!q;5bfdgUi-f3H0mZA6KA%-~J9)%m|NLfHi;QC>^H8ryuoE7-zA_Pv_8_>&!
z6mxLAQTi53TgVLjDBq@cFqWyMttX8_bCc~+I2#Ek2qq>M!98Rw4o~f@hr^P1lmITo
zkFFQ~yGCN>@(_(Mb%ZdjDHWz_HP#S0{|tw=z*)wPB_mZp$~0CQRH}+@Up?)gC0#3|
zXoz!)bdChQF}$CJ0)`wnDBM(Q)5J_`V;df<rjxPL!2^ogb5$^r@@zFL$ouJL&(7Xj
zp9{6zt+hNn@&fn}Ii`r8Y}Yfej<}~O4AubdR0vpjqt~Ll=GyBE0v__1;_GOH@uIft
zRfs`UZ-%ycGD!qNlc{##%BK=cJ$T?MP;PON$Y?R>meqrW!0+3vjR7o!kd)^ph>rY`
zacb0@OeEzgR5XpFWg@2Eh30GljmwCIpM4uE<tw^zqfn+@pGp232>i>Ekr09JB~tJs
zmITHT7ZI3cuY#(SNiKq_l>4Fy7=Wri1jFqzfnWSCfU3P-3x5$%MSsl>P<0Nh*`ok3
zb^3)?t?U7<Qe)`>vN|K+Y^r95$Ol<PKFD%<Wd~k%f8ykfxEwq-Iz_?5E8x&u5X0I*
zwWBso<_B$jXbn0H7#CMO9?e>;>vrEif6y#L86VP$kzCNwg0$FzHl($aRZ?-n`ORg<
z6Er~!pskfqsQ}u#i0y;jEQ_ANc-EjT{9;Ry1#LBXCG0A%xwvh$J%%)#h1lBW60~L=
z(bnre3=i<c$-Q{_0)FP<i<hacy^EJ<MU*gZOaE}C@HOlhnq0gT1B|a_3J$@0<R^qk
z9)MX8Ixz;QT7iSELnjXjTgrg{i#`Ds_OPXou*9(a+%i$5u1ZAlHlmA%V8@ZwFR<fg
z)m-+Ji>!W!?Wr+^ijmbIf#RUyFWF&d5GZ5^aSXN{^w<@@@BSCBqHA(`7!9lpK}LH1
zFZluwz1bbTJBVCP_5m{#tW4Sqg&Bs-fT>&^478n1%y58l<1}z6>=R*Jhe%#0fy1LO
zmj12-KnzdNBaC>4ehhI6yezq<4Jm;HU}d1irq%UoP(2O>VxT%ITP_s%I6vJ%;?5Cr
zvJL_{Z~-EM@DL_Kg3C6xCkYk;XmDymLx5}<L(|g)O;0JMX|)n-2n^1QaSLE@mz0cD
zVQ?2=r9rtWrw=ooYx&7m%DB_U+6cZuwov*m=@0NLV6x!EEN#hW@TBC!?~B&9$EG?#
zP|oqYB{1jwrg=ohaDDc)ZPe*7s1*d~M&UyQoWoDfqER>49ymvSteiq9koPRF#ke82
zz`1{*5yp$!{!J-3_Z(=OCzAx{G?{APoKGcKeuLm#pxm*|<w(m!w}(c+g!-d0%To-t
zTbp2q1>2#rWui(KP|?1@b{~i4Y|)KNj|JP^ftB)Y!w|a47~vt~3rGGz`)zXp;TTf-
zL)4xozk=azejQ-umr7<$5aGWP*?H<nh!CmMXJ!_jW&B0S^pwH>FRYZ$)E$wjLvZ|E
za4mM!C9ome`gOS?XB({Ql`y{ioA`1om}Rp5L=3~-z>v3h#4omXggx=VVU@kM$Q-HT
z!YTT9)cq-@?b;uSTv@7sGF7AsZ0`y!SI$!rTCRL{E#d*RoJ5R4%kjHF%g+J+3bdU5
zV$pJbPVyzt1G`Gns$=m_1VY@3L)9}O15I~3dO9+6=oCMT(OsrTM}PUF8`)V=uJJ3N
zr>>ls6dCR&#?Re=j}3uY7ms;Dls^-chihBQGm9>*_vga)FsDb1EYR~}@}fMU-qaA}
zIFXN(Yoz`(bVKo3$FZ69<5SC9Xvpv?&lP~;BVaGho^_>bp_so~#MD3a5=Bnwbhcqo
zkQ!d*+MsK7-#5o``Z{&x3!YEc$2POC{3%lAS8$2_Y)!Th8b37hqLJ%5HYlP<eyv0D
z>RH$fg&NE)wB1AV6lWwupWJc1EHSRvj@%p^*Y&Y+ncOl*HV|bZ^N{uM=iaeKWJ&Yv
z=OR;5G0XnRo%Y+=X-Cfez8NYN1V?UT`(R->(NhQ%#4nC{F$8E59QjwTx%g7*I6%p>
zzV+b9Jv-7(1(l@c9Q5JkKJBwaSFh`EV1y@3ZeZkR{H())kyO`iU}QTo+DZ`Rzg!vo
zBRh&Fp%F1ecdZT?6%38Mo``N~+CI_srKW1z%c5#}`rqyZANG1zR<k&~8&oP#vi;aT
zSS1rZg_I1xM3jv78npNds)XI}Q1It*UZWm0tf*9(s?oN_3H~suc4UaU@xafS?3h{V
z%AV@*6A(PGOSy#Y$rj=w>eK^2rNoH`eXe4MoIxB<QNtFGm(pB|_iT2oBVmh|>e{t<
z+=(diH($Yyp^3c{1N6vfDUx!cjJ->j#Za*EagD=eYF1Z)>Fj$9Xk;N}=c;Z%yDToO
z%g!m1uwE_}$vDqdc-IOx2_hNX@+)(9HCXM8@u>}+HPaK5avyc&<*mz9J9Q`XN}(D<
zpwQdPP7P*Zegb;l;c?zEn%z@X7d;J?%yG59m8`1zG<GW-;p2O0+sumO__N+@Tthxo
zErBrzOdE3YEeY(A(e>F+<j46Gw8dR$=q{Y>tR0?Mv$<N1t?o$wS`R0QH&<VQs@?73
z2h6;>S#8EcuoQ-vHoves5n8A|1hqs=0R^o(8C&g*INFgLoSz#)QZJNHil{8us%70P
z>n;Ed*qoH$0VTl!B?-vo&!ICZm+1}KFR`$NC-fq1|3$NOTX2@vxU}65Rr@1tp(z^~
zs(y^~eWc42xUQu=OYvxC-KH4(91emE+AV)r5*1i(ZiXCl8eIDjugT5e^TO(y2W3XK
zINMs?ncmpxjJH+_Kt=~`n>S!)_wYBs^arYk;eVoBw|RzZ1wN@UFTogMbC4O2J7auw
zdK8W<{Jp+zLwvy76FIzST;H(bK*5UrOIcCvhc!fS-OMczTu(>NcD%R^H;z`1;d4-8
zA+vtbBc)a8=#pWoK+BO>X;AqYxbLdpZYh7M`)Gs2Sn+p+1Ul_;^#Tptco8_~vf<Gw
zoMJG}ZX-C70`^ZX3C_<ZfgPxDS46Z#@(RrVgXU;WsK1|zpKSGX92#H;@TxG%zSe6o
zZlrO9@(Rov8ezPs?Jtx@*+-ylo=g(G(PXMc*?lU3qZo{`2g>c2mKM$XZbo4+seUi1
z1!JH(GeKVDgnViE2~?DSY4`+*nzSfBJah=%4wGvLt~*ok#PDQin6j3($JWq8mGHX`
zZb-nvc~@8?FH$-5zcqEpIJ_Q)XUl6`WO$ZK&A5qX3+$|G27a=8N^1t;7jpO^+~k8^
zi}A5rn(;mwVZ5lV8P(IEaL8{a$GY+pom3x!;yjt8W(YDlhM=0+6X+vMc`d~Ig(fo%
zb@Do^6F<oM?dF{T!)rS3^E;;FfpUkI$i9~6Zc#PRd%x$j-oFY+#BIuIde1hgUgtd}
zqg8oq1D9n#=IZ%;)lXpO2D3XXqgDB&r}9N~WOAtrgNYSu<WbkcyO8_AuKob{e-@0=
z-M%vp2{*tA!G|L+>s|!wJ6>5<fy$yARK}jEV6A@d=gizqy5#`MMwWU*awD=;ZR$)=
z_Na90Lpb~8Ej)385C7;BboRqPyVXV{w7&McmTa=ri{I$lPuGO;SEz<`-M^Nc<#6&~
z!~_)SSyCdq@P^GLD({PZYbu%6d!?pYC^8!f1)czv3ZfL}vwg5ovFHg+um1!PezBKY
z>z)+B-sFYm;_vIc#$35`tbq+er2>I<{2kqGc(F{y0Tte<Vu5RjuwL(BWL!`tZhLL?
z_qb5AmWfkk5&bo4R4qrU)Gq=xiL}0Sb_gtn;)H(^6z=AcLfwZ5QNz%@IsjVhI~Gnt
zL2!6?|FkvM*CGVB2vc~pq;?W6KWXJiXU$dO{e=#m1#hbdFCk$WoDm<#t?97JM~>Gc
zCPlV%vih)})#y(jTGC5F^&uSpK=na64Yg!@dSMAL_#^}aeQJ)M$q9uS>WjC)|K4Yq
z*yw@PMUa-R4c<j(Qo|?qPnz1a@ZMEIYK5PC1}hCpGm*ZTa1{Ctt)UAkdl_y2o(OQ(
z1RYwVZ6C=Z2;u0oC48ZMpIFr(-S*a7;s4b33EMYNDb4G9+4HjZH1CC4CQN`1uiW~5
z2R=kV5&UGYN6D?<LO}=xZK;2{eEF@{Dysqt7`cx|882#Y|4M<8-$UCxspR%gld869
z@+lSDGzH2Xm?bfqgx$RIU~2rnjE(oV1H#k{RNqVx8Kp*UXi!fwH#DE3qG@O}^DU62
zZ*qk)E)zIhnQr7ztdy_T2R&(|1Gx00S|t#pMopwQ_01xp<UF^yVPb9#VB-lT^QG$q
z$3u<OZdbAq>C$I57G5W~qGWoCotI*ze0FYsvOubdUjZWq+Nz6a9+9n`%pRR>fT|s!
zT0Z_{I?u8~<Is45y(9)#rOPR8MtT;B0c%UtQF^u7D_@7Nw9D4O(}7C)d78a}v+6`%
z<|sXW7l+l~iht3=GxV2#SY5yfgJPT5_`Le1m_=?CX2@NI?>zMgo`{3q8bUdv2MEO-
zR}Tov`2nBZZJbU~<B9h1wWI6AYs&KR8Fi!`aTW9x1->I(AnSnp&NOc^ZJnvj{n1s;
zPXKFe=On%ksI4F#cE3Z{n%CK!5k@iR#dmdip_V28XP16o)RYLJBs?x<s91dgo1ydT
z2G*fF8k{gl?i;wr%Gqlje@4+)lMyA{Dg2n7LImjfK2+k&r;-*tVs<x`wT{&88y9dn
zCo_DN5>mSI>Ywfu{<p~#?x$gSuSdk6tKRX=oTji?mFOviRpA#~{Vc3%CwlG9etIgr
z=7t^)d=xv@#;BF(ssvOSfPv7qsD{$v7klO&AL6fg9PL$fEf&iMel&oI1X01zD;}q_
zgUBUt&MO`X)Jjar^9jPZATNc$rT3_~M|bPTD}w=lxvJLTXC6K=o9epo#Oy|P3{6hV
ziUE3Lv|yyVIZKyC%rs=;-FK%Kd8>I?2JKQVKW=1ckt>OQFxSc8SEBGQhv8(b3kpRI
z(Z^7>x(&?ZY@(?9B|S0)qRwkSM;s@UOHC5`T?X(VJahvOF;9-Jo`Gkb(I;<JQxkA&
z6dZH7NZOtR5O|#4<{ewBf!^YJT9B)cqYw{NAI+9!fwc_If3Dmvrwm+~eJuCOCG=G&
z!56X8p!859SZ?`QxRcQ<6|X_#tsyv8y0`@??lEJ`5?jptOtlzkfX5|gRD!ml$~pIA
zdBFIjGJ3vR$_R@1c{T}b6yY|g6@-0%3Lhe{FMe_yoVs)29D$K9Kr6@^Rm~gwR&Q}z
zbUh#2)FWmm&%*tQMi?(@BQB+o?=~<Xo=g(*6=ZUzTm8rOFdKQ|$2wY0T-v9}Ol2o2
zGA|V3rW_pgPghJ1X)=I=pc1$C*`%%>4u$i<t?E!H-jvi`HuuR%O{SVj>jj|FiqQ18
zOXUlibbT&Vnk_0nu?H%P1Nc&)t%La_&{dO}3L@jS(Lbz)Uu@eF3zP)P9b~QHoN?8h
z>gLvf1>En?xN@;z$xjmI2`!mCOZr19%AX}YUmy#up;PeHKCyYGB}M)YKFh?_@Wv4w
zDQzL#V_#?3fKgF+=Lo$WLnHx6xT}l;Ay`b}mDw!k^;!lPZy>P;M%T}l;wM`g0$T{j
z^meyJ>L|Sw|Iq9vaebH9Vto0qR+?LBgz=)in7{Wx+dP@%N+ZbRPImzaf|@P;?N0Vz
znoL&qlUi(&mp{MWr1P)#kJ3H_QGK(F(jn{Q%VW$s1<D=UTu(JqyFD}lHq0MY+J?O}
z!H${@W1CdxV!xMR8D;ztUG&Vr)8~Z|y$8ZX3he=nhgEB+y4U)xn;AwPc&lrA;@Xcy
zkYVJ#u~K43VckF5Umb|`m#YmE8|X5?u-<~^6g6^^QyK(famgGhW_SqH;9L}>g=8Jl
zqR*@=3>}|YGCjq@Ct#&~7TWL?3R_@>0wZCU(p;kTXjS$Ydst+g{<9XF%ZPcb%#%D^
zk}jv@0SQ|q54<h;z6b{^l%Xhw{9zrNFySe;w;{2MVPeR*%Mmf;m&3$F44M9#ofz_Y
z@^}fH$p>r!cK`72wWDL5$))O#DgD<falULS@NSttr2@~No!Yz^><SON;0=M1h38Cf
zZiC{FECG{Ja_)XGfKl2FqwTgLz;xuBPS_}y$NI(9s&@iQY`-xs$O`_(*zenQt+}7B
zzILg?VTt!%*dmXrXpyX+T-x2CsZbvGH59Bqg3Zu4u2Rc!cW>N$ASkxDB~RRl1yDRI
z0i)X2&a><laYy+%c9b?^6y~rQpHckkP0;9Ug7OK0M;#i5i`^fa<0pC(YAcTNzC|)9
z3CbTVUg2)F;c&=?P54qTo~9EfOqnaNGuji%F0Tcq`U#F@p!!j^%pfQ5iv3>&C%$hu
z(FlmobeQiip|0|_eutF?r7}h!c*|iv+@Ke(pd379i3$aHmJ2XlEfq(`YX0aMua4H$
z64Y(d@j$i1+j5s7A#elLc2FbJzedt!`cuEAqUjU1h5q$HCDT(JKL9J`bKGQ-413n0
zGa|=jkIVL{3qu4ls9}54-vu(eu@nj2JTA>u@}?h~E~mU{Bx4cx%`z7NEY*ojWh#oi
zX=Uj(R|6+9&w$~=9WZ%BI`n`rmJt5*1pY;5GU>0`@u$y#M87>A#MDPHSM=aW!!UaA
zppOYG#W*p!0kFL(yt0Zh$Q9v?e+y_J0^_H@we6#A>I;A;afg~e4EP*fw>$5$O1sxl
z_m0t3tTN`fB45zHteTnY_w|~FA*VcYlJO>}1n$?Z+ZaTwyLJ2+;JevA*yCrSCvf0v
zhvD#xEjZROz}?JlfP|BX7<<Ye%X&fMPkBwpH+i<1PpA2#u1Zb@eKJJn_!FDoV8_kU
zS@u-N=7IEd@z&MapRhgIo1`KNQBS=Rh>hId&knpXi9*S4wtKrPp#72}6lphEWa7MI
zP>S@<*nSX=Eb`v$xHCxPIRxR8l|r$-qLI^suOu~y(@$;0@${fs6RI1L*MS??Ix%g;
z@pCgU6HSh1X_71Ne&9$ZcP<h5V_+bh8!t(r&I*R8VQ60c15ju-VTnD%UW7UzC^<w&
z?Vc$WGr6nZ<H8Q)mKz(hHuGi+AO5IqSG5}XI8a@g%}%vnpLhNR5%mf=PdIL6-X?s_
zg&jB$2Kg-76tWk2%pit14Nrki5oG}>f#(a`t*M#S;Jm?pco708?G5N<!y9sNyivL<
zOIyec{3y<sxm)L{rL8B80;4D?lE{*@2s5NX@wF3^>*25@9wmTFjic*@|E`gkxjaN8
zOivNQG*K!{)i~A=kNO!7ZGp3l&n_9M+EzaUD-9}DMYr#dR?riyBf9oRx>iWh5a$&2
z(L}tTg#v~gHz?dxYtzI`Yh!yHglM7#vL+<JJD`~9$-XLkcJ|i#GN|Qlt>xj7&F~>|
zOc6iXu4iB!aZghitO4Aq5U}uWuf_OU2L?$UQ+x-FFkaMly$Ugi>b=l5PbP^#Xfo9f
zT=`UjsRy6z3zS=oo^rOxXpQWa)q{n=@7t`60W5=%l$Rxlj{K2vYSf%eB;{Hvn#R#G
z5!0VRbGCrSWdw&Sj~Lv8mGTvxJEkKY8zArlB_kmM|A9!sk602IM_fc;mc0t9QYN_w
zs#5NYCSU-n`ezt!mkIphcL7u#aEk(}=&#uUs?LEmdlUesPQTEql|7(UYAiiKR%Zm9
zP1Wp>m6%cI!on2ugj<;;SoYOH>zeBhsvQOTn;*3C5&HySTwL*ZH0u~$w>v-66nl_X
zjN~;)i!EqFT25A6d63lk&1J@gnxF;H*11rr0NQG^eXyHl(NhT8!Y{TIS<qIK=fXC6
z&Bbl2?J=a`tYRQyifHR~ABG2b;^bbu+|18BeDN~XwRiCnt%x!U+tNQ=DSR6{h9(y;
z#Q@`LnSw*`9{E`zk_TWGgieeBs?Nkg*P)Y#ge_&j|3yESUgLF%@oAPAxj0Jg=B4PW
z1V_1(=;9&Rab)#d?6_Gqmp$botN+RN)R;oW$ZC*4anSGqcGwvN3fVy%gKY;rcE#_z
z?{uqM(KR_ej0RSQAR|Nf-3Qr0<Z`kPn4w^0(q1UcFk}Wy<?2Xa%4}kW1B@G|fkR=R
z2;(|R3P}<;Jo;kk?>Yd)@I-5Tg7%tg$8gh$mnGM<XW%lgNb9XJsixJn0jyS{KnzqT
zWy^&EALpk#NZeT=C+i@P0~fSMA+eO8@G?v(L_px$*3^V1H(SQg^a4TC^Ga!2or^UD
z24}{&1u(ebl98&dc^fMY%2hdinCV>0qqeeUoHo`*@U1;95LroofL{TV1t(@{OPrUp
zeqTfh?1P}3<9DZh@lDy&wo#|!p;i!_n}H7za1K8?i$>jGd*B@Tv2qHbK;BEd7Twjv
zHslsKcO8u|UetEAOToF9Lfbr<BsizZR0HRHD#gILK)GX^%aPXGZV!!s3H3*1mZunO
zH<@6E1>2#rWui(?rlNg=?e2o+Y|)KNj|JO(1}o*;21*!$aT>9_wT3|ZZF2$P7*cwX
z2pq&Bzk=azejQ-ucS>eW5aBn8>^yZOM2OVsGcya%GX77=^pwH>JyyzRDrJ%#g5&Qp
zeS5@74Q$AEc}K3u*#@h6GmJ0)CcfMXW|^!VVL)WrYbj0ei>)2uNd^w99N<-q3r;U{
zq>c-x=-*NIr<k^D3yECu8CiA>WvWOO*xnUduAHYLv|Rb@TEqirIf)p9mg9GUmR|}q
z5XU;{FBUE5=OkYORS8mIc+Ywr2ps|;Zp9&y=x4h?M$W2&Q*rcJjBcGC9sT8xZe(Xg
zxyG-6o_acD?VLP&VjcY7x%2=y+~g9Ec|w#w6O@N*Tgx+xF0J?H!uBvHE8pM<lOW}|
zdQ(GFozC!bd@Bjw?>uZVypg|dbPC>GU$tgpW_((GIQ%GS>a1&A3&orj7^nWJmnA~z
zpOI}06pV%!xUSK)=6rI*Iz=~&+fq;0x23YL`6*K7S8$1ay(U`-fgc)q(a3cj+kaLh
zzt$mn^%87`ZhV=SM|Tg+Q=BpmeR9Wjb7EYt9l1F;uIpptGB1!GoGHFU+9B(K&t05~
z^0Rr<b6fnZ_#yt`&glc}oFWH#-wTxrq8)d#eXzKi=qZHq;TOkVm`N`HD?oFOto8WW
zrNTG8#^NiZv(_hb&tOjuzRcu){~8h1>p2|e;Hi=u=J*{y>2R1M)wLVu*!nOfd+?V_
z@`dko`R7i&Nq|EP&0TRrW&#5o?<8VddbD?J!KkU!u5L*+LH}oWwvS?G8&R_Xs8pb4
zOV~bGH4{CB)C|A$P0dz%jk!Fxc{O`#b^;OA>p84uJXLbl>`H#pVKqy2?W)-}haaWH
z5dU;VZ<6i5iK2<Yl_*-eEJhNIyJXgGQ?uF#I@|XU!pK6(@>IPZ4T8AuEITJ4dXuz~
z$uL11AD5k4-cotkbDd)IChe7w=v~#Wdns3nAleY<==QQJ!)NmoQ1O)>znw*}dz|W`
z!2n6ds{O5VoYkAKGvPlSQQo4N0Xf-k@kZ_{=}@%<dKRE3WN%v%*hJyBbwBYA#~Yw6
z?!<d{;bdp+@Wh(U)pBgr&M5aDs9K(A{syQeKxY)C>SS!S2}y7cgu~ALgz9xEg*^kQ
z4ay+FF$=b8Suaj@7l4d!PRi(jlF@nxR|aJ8bI_TT!L$$mc`R&gGkcM-&(JL07Mw*a
zE@S@=Rr@1jp(z^~s{RS*>oLW?yCdFGtXmCZcf;8DpxyFjNmO9DInw=j1uDR)eYhV0
zd-3u1^yt-{mdu#}VDh>)9O}jwX<IYnqfeRXv?eDu!ueg;u<L+ckFDsXu=)*-aiF?S
z4pqS?aqi)2fNw6mZ;royQCAYBg+aEQea86c^eDu%|6bq6z<U)G-5x<iXl!B~{9hTD
z`rD{s+SczPrv0UqY1N;xhKSP|Dg@%R=^)IG7q{W^3Z!7v8T_nY^hjy_dKiv2YFli}
zfC?(lPd@}J4Jw}l{r&nyiSkFEkA~d8Ds$uzMk?t_1^xjEBh_OjaCt(MSvEX6g;NZM
zY!{iPl#^-y<dR@%HVJIZ+g&@6IPx~dW1u-&N9s>;;wPKfj++DQ0H>rdV7t<5ku?qK
zHpPiF!gx{JvnUPNo(gUAWRd|}O{QAF)~6D<kHOm%fpYt$rA70;n^72yuir~*kr}8C
zPLLO6MLt@4AQj~wtvwRqFbH0bPm?~-zu?f$u)IgqI{oakTO;kM5nPhi&WzI&{3P_=
z-J&F{b`1>1md?0<@C=rE@Kl-`Ft4r$_{r`msRtSzgXZXO%|$X|FZ0@qj~r<)pFV#H
zjW1r*)`IF1D4ZV!tZsnfJdvapXd>0Lz^7463j*aHohKujhTY5xpbdU+X>FKEkhxGB
zPIr+kqZi{d>sMnkNr>^wFbW*^fdf8InQ6lX+KJW?PgcK+@JdKUd^}8g=>E@|a3p+p
z!31q#j!P6T5mIeFP4o(?4SuqF>Q!yN=d~9fxurID)A-^=dr_MoK-)Z#q}pgA)zrqP
zQA}+D<qj(rAuR~q^17f*{ut8A^v?<6*OZBEQoSX-Uq-9)kO_KzeuUU}5`QAlj9oHX
zl@E|AcUNt28pnrw$P!uKlC(sSRX<Uboh7o~)KWirp!42mZTd_Y`TS(#TRuzV@$Yu+
zQrtMGs3!)RkI}W}b)Fu)3T9%pemY3Cf_VJbhJ#j+vos~bv12YqYp7VAiOo>#*u-eJ
zRF=p#JB3KB=nAOB;hjoaF!=R%RMrZ9^*u}ErY2LEp<#KqHR8`hJ)iA^4R?v2U^%Nj
z4~1WBx4^nX*Grbjo4sb^TJ0?Psra&Z6Tk^D<5n6Tw%a5i)XgfcAt2>}>eWQ!(9H3R
zJ#&u_@mn(=^eVb@WBI_32B47oA#50W=+?|<*g@E<Do5a)TQgY%_FRQ<c#)SvFojuJ
zB7e-!JRDw3b?t^1xjXx0bbrr|p-G5Q4A3KE-~ysCXX&zZSy7MFnE3u?iQMBot{%DS
zkSmF`yNZiUpwK;0l90!Tz;H6w1$~PvKp#Wd>PYz9_Yf@ED2l>%_e*+Y>Mqy3_H)Dy
zG)d}YXt_AsqjZ#t>uFD_Iu3<+pgJ~NmSM9*!IInOc(BB1QEeL`f@DX_DFas;Jx;v{
zQhK&wo70)p@dEoNO=7Z}=akS_1q{x@N^r;@#pjWcTV3S=g9j^1<Y+btY%t?UsAYof
zxKo#iPX|6k0tWcWad7I+g%>cOhc~4%g`Qt}y4Pad)LWR((`bb8qPBlh8ZdYUw9S)A
zVm^XQ&UD!<k*{nrQ`t$1%qlIUB((act0`}9GJv-fkh;173KyW#w?grzq~^0kezM6_
zGija368YsOU4IcOaUO;((4|!VY7bOqvqb)^$xH>2ar5Ngz`-xJZGkeuFk7HpZq7%o
z4<%V5{r-$A7e3W7P_0gI(?Ug8QBgkNHixoAKK#8dkK!hn*K4`bJQSLXtTgz^mWIGK
z)-k>5ERm1#T8xj~T4@fZ5yp%5qL_=JZJtbWr4eLur<=$Ud2*A<%6?LdO>!%HVUy0!
z>mQ|k2%@^EjM5?N<jZ5sIt9x0kl@i6tR5PHO^83Lv<=%e!H${@W1Ccwoy#*Uqm1mJ
zi=G+TIb9gher1V#b&>eWBS<%5rNoZHI@p($%u$>P&M9i-B&Re8#5+pnNH@RVo*@vD
zbx4aov##*w_vcEcr#6M3#!C4tw9zE=y8|l}7zw+S<`QjO|08>hJuEU#|5=O8w~2Z2
z6%Q1j<l!6Xa_Ti!By5p9@U}z-X%)(#g0y@kdB6B57MnwdZb<mo%=Ks7<%kQ$5BW#<
zi?Z6#U;YK-iUO&FB8b*FhTJGiWE}%kxwJNwWQnXd<D?{P95o(HGz{w0FiYeiz!KYU
zj0>`g=3(sj(Yn^0PY;)%oOf5(P6;W&0sAM{A|0ctP#*U+6s#VH&CobzB}?RK>?rNv
zK$yd3e8yr_EogK$LHUHhqfwm?St3)yN1*)vl0ivO{@~fq61f`30$C@rWkxJ-b3aRD
z7ALMSoM;5ZXTEtpQ$k(kZB1gOL8*)p2;Op-n<Q%#{_}&9CGvSCBq4w5*-(Rn0CB@5
z{c9v$rav`7MbkGl3jOQ1luS=?{Eb*CpW`NTL)fzpMH4=fJucg)E({R_vP51A{kpLf
z3EkWV9}-+8?!P}>PH`W}Sj2s^%mn~T^_Y+{6-C~(vh<p(f!BII3&Z8JL}CfyPyZ7C
zB7d6xnjL?-G)rXN(#m^X;7Dg@iL5uW6mqV(Z}*7pf_3+ad%owGaEtxV61nhwptaVZ
zT!)%}SAQE__itGu#rb~gEL>)8ok2~*kW(Hx$+!<x0{1I7OXQ(!AMEin(Gw!3E$=2e
zez66|ntHEUB2V&~c4gAu0@!9g{j7dHOJw3?(BngNj=yF8M0VUPon=pTY#vA-czAC$
z+f!o-)!#C2Kp-|t<P1CT#v}?oF8ge@tHv}EU6mXt4N6h`!S@^4ac7Xoa|psGD}`cv
zMI)yN9}Xkpyd1R=$J2vmO{n(3i6Btmo*p#urHJDf$P#%6OOsq)`hlZRmdJ#_e<+U>
z>a1Xh8iwZ8pTHrSO;}>juos~Y2ucpouKq7D6g20_U41waqy(SBA2keB{Q&tmP<=0(
zooc^6KeI&ME$0bAaP#QHTu#9#**KSnXoTs%g)sfHRG6w?U=8u|f#J{=ILo;8`-P6F
zO<3HoK{P-{9{-Gk9aO4{ZeRWJ153IdyeyG>X3x$JRDBz!=Wea#;gQ{;xya!W{A9bH
zfpx?^O<}MGaHm4R!l7P^JZI#M?jagsyr}J*7Ge<95@?$zlSCjinQ8~Fd@8}zg9okx
z<;t=>YK<(<66yDC*2VyqK}gDO38Gs#8fs1^lJdV)G>xNWBBpDL#7Qdp8myGB=*Epg
znRb09lO=Lv$w-L6)A<C(5f>4dWv_y&lu1@rlCLBKzsh~l1Pnk`C&F;KERpzK099|q
zzX+(Jzh(!hYLq3i?$8;uDmzPLy^*CR4P)b=?-@+9TPjQB9l$tyWpIr%k7j*H*Zo_T
z$d=B%*F%=buV{i6KwDpgN(Io?_t`$!&9dkTjAsqn!Y{TIS<qIKERnzWnsbFRck^1i
z?p6*&{F-R%bsvTYc;bLxmUZ!R_Yb&)^tujTyi9fNUA)wiipyXiOXPv<7@AzX6a$Pe
zO9~Fbi<ftWNFIP$5IQjisQMg=OdUGuIZNb9mKe=Nk@BCEU}7i0Kx%3pM^-Op$IYs_
z>?s#n9cFuKOrc_AHAtX1Xt<Fbb_Rh$b`Zy4+d(hj5WnyKLa(B$_dSdTL?*~c&;O+Z
zm^ZP5$mL`oFhjx0q`gp>VaN=a%GLY8G|VPuIKa4Z8aNd8iGafopsC6M4x6TVl$cc0
z>Uwut-H8G*P<=96E)@7UkF!L6OitE8AlVF%lH6<=L(?w{ntrL2rqvg*hQQ#=7`Ffh
z_oI@LDh%%XSZPqM%IU*Qb1+Nf{n^vDQKvhgRuG)~EqsW8bNI<wH0lQ11Lsm%B6t3v
z+oHRg*oGXz9|_Lw2$i^)RWIP&uFy75CJD}IGS$F2pGvU&2En;NxgHWcYQ60-OQb(4
zvpmIMyZcCBc+Sb=Z>VgUsM2?-Xy0JFClm>qgzZkjO8K^-Ac3Pe-<V&)a5ujWtcRDB
z%$gv=i=YOlTNVb3)af%b3(qoMT{1mo@Tag+K2w`#iM%d*bhg2&_JeBqH}L~mBI}l2
znylwT%VgPWSt9XE!mxuC3mjH?qgOF*1$vnyb)03D%@qAR>i!hdcI`PtuK0{BRX~|4
zQU$hmg_bMlsR%7sKD!q209sBW#$1!a?*c9V7XC$OIsL_=<@}r^n6EO*!0>c}I=AAG
zcp*8SCGrw@4OEQo9z8nx%O71ovP51)nHg4MQU;aKVOFz5*86i$n&xMTJfq&!ka^2~
zc?(@LNEV5(+G6$U_bTy1>GBq2#f5JNubmkiJGf!a$Ug&fY?~5SBn7JBb*?|^T5~@0
zM4i45Ue3r}ZsUl}=ZrKYuXe^}ynAT7hvq5#m(VBesSr>zkQf*D9%*n~<~`D*8VR#J
z%X^DX>$z8?ncAUWJL`koNZUWT^FExNcjV~r5~x%IPUA0tp1}6OB5|Up5H5&cY_07v
zK5~)QT-*pa{z3BPPuf>Hpfr<O@_eGJ*L65H!V@MpHZsZ2Ivg8GbzK-6c@8^<Cb1DQ
zKzFgWcj(HDV{GIQBDwX(?jvMgiQo!T)3sgQ()1mq)&JSmxtrM;M|AGhG*A!yj_cez
z**;jE6Fr4=4!=ZnjyzwqHeqZ$;E~_yHRg%E6`v~7IO-`^;XY18^?D8~98Z;8h5H^q
z>9E43x^@+Ap>T$jD5`(DB6uG=jwVVc23ewX>9QD*3@xsvX7zh;!}=bHP{}3-Q9Q)8
zY3XrLwBdf~`oR*oE4=%!R%q}eK>mlUbCAO_1Ek86mz{Z0<bM)=yq#~d?&0L;n|%0(
zT;+8XwY#FXF_N^oDJNUlpK!m9YBX{0uFwA7_+70n%R2c;Xo~}nn5>hFp=x<Xz=uLD
z0b-*}iL8?ise-$C!b#?S%DcL_s+4yqjD+w+5>N8NsuNGvI|wD7JPkUNl9=8IoQ{R#
zcM*${o1Q|mbOqIRL>Mu<0IK#!%tBK(GE}X=`HDAnHB&-~Cw-0>8ytq)2kn-3mqZ1Y
zn>z?gPJ?uYYbM6mj;@=b<dPE`rbj2nrzp+gOf1o4VJ*GvRU2>&1J$@3io&Ym+(FAf
z9}-K}l|X4(knD#<5=;6NpVGNK3u+j0|AQd+wWZ{)uE822C~L+a2+F1-E>;3ass7e4
zdZe`de_6>e6+r(ItTd=R1KbhUZ$*^9@cdw<gnU;v32cDdUD(jB$g2~#Kyzf_>#6YY
zlWk%hPegc8h0)nNy%t%eR?*o{&<Nv2?QKWt)rn6*+dP?Ms6&&f7M=B}1RJtobT&{f
zBg>-}|ICz-elIEWKTy3jL0*&<nG*6%RFr?A_FQ+T-5LVqmy$znn4ExYxYL^`H{^!S
zn$fkJC_k~v4=K|a5ABZ_@&2uATKkW{e<fC2-L$|s@U?Bbv>N<w{*N$tTbknn#S4Vg
zn?DdOfZ27u!B2KiNxjjVa%e8F1K;h#ZhP^OBd_F{hMl1j>pI&h+P?uK&JPh*4~4dQ
zB1x^$M5<|xPotRD1j?O|D@i|k#%ocQe)No+L7LznAW!hO702s7F1M+gP!3f7$kLkj
zTM`+bdyb~DO{#ZPU!T#cJS~9>VP;hEx{Oxk<BMwbSDsqq*A08fkXQGu8fVC>H&sh*
z;aq#EO`pq<mu!5?XUJQhZCw-|i($1<U29%vj)7QquNm^L(Ub_?T;Z<~87fv!!)7Q_
zW+GBsDns7O*(pST?w3F%Zh=wKg6RE=sH}zF_dP@2JDN=4Z8WTGtp0Yk4;HHzJ;5SZ
zyFY|qY-hoWkM)uv?@L~@@m0rmpPM|3gF6d5L!Ja<RffFJ6OBVN$1nEGJwC*54BX>Y
zbmzwMfgerDje+~wK{)7<?P+;|$ebGkSp@c6g>Y<ymqIXwSr@hTxZUNOOa75?Y$VmS
z8yn&7D-#ZI5Icq@aS<^<kBnAut8UKHWic)iGV$&kH;YUXEdkHh4?%<a*roKQkZ5r#
zON(4dtX&zjJ9Of733)sThLf=_s2eOH`WVVq!=Pq;j~i74?(YmSq3(W3k4)WTnb&>}
z#lzN0la-8z6=%AW8}Q<KT9B(T6ykxZ%9dq?`p)|ddF$kqfh&z3=C#w|Nj}&=X%dsI
z_=ghuD*W^stTZS+)X0sNa{Tnc%8>V(Y!cWI$1v0~fk6vDy%9b{@KgNcI5>5~?%}7Y
z40-SMTJ)A)Yq_$Jpm)&-<3();uoORiAGFPrNg_dlOwM%K40)exGE><}ip(k{p41lg
zPghgE)nou)FCcaGFHpDubo&kzZ%S%DL*9K&rkY9XM25VrKjNxLTuLp0{_`wSc>xTl
zDV5m_dHXb(sUR|Lo-EXo3^{(WZ3~nMMjZm>W;H{e-=A^i!r|wE>V^b2k?|50eJK^?
z;}3HvL*8lGEaxRoMjTFt<{~Q%ezK(@8FAS5l+iWt<g_^UBmUu<zstN9vlR0Z8ezPs
zz0#DLzbl|^o=kG35oB^!nr<RP-c*yx%6?LdO>!&yoM7j#*mf(}p1}V`_JfBUAQzFn
zkF#vyGy6w!AB(7-S4Q%XneqiQW~Kt=ddPC8MY-EUBd{CsN0l~aCnVTWGiGd)D#Y{R
z3==6sJm{-uhIlp!Yuc|=d7lr;aZG&Wh1kzxrNq|4I*OE)(M}k(oT5ffa!P|h++8w9
zy8imD41tiWLt6Bib%oboA1Ilg+8zD@E9JA$hLv#r2`p7$B<xa}OXT?MdWXBz&B|)y
z^q;lrEP`Qis23<c$;0;Paw@q861GSlcv~W)wF+)f(OSNeykx16BhBZ)9Z=fNFn2)l
zySQa}63{^00j0nETb30?R3DU7d37+bQL4OpGx1b;CE?@2M8lv?4O8V^nypm|2ge}r
z#k$s<PnDOToOeah&WoooHF;EIv@_)$cpueNC=UP|3RWZ742@$}Qsr%AM`?SPVGf(|
z8H-V!4~@<yI-d}DG^+C<RbEQ?2%W!BGAN18Z-G>KH{e(Xs+VQUj9A|0eyY4IPQ1i$
zq7fpW`SA1GN~o*6tv6$(L8*)pEZ%aM=UJ+}50{XH{HYH@jfCH&{3#?|ra$!tDw;mI
zUg%$cy<~cd<6p%}`5ZUT*M~jp(2Mr>W{=B8a0+7ufmC_dLBDQLMPfMr2_F(%CGP(?
zT~2Wy$ymgFv&@Cy7wJtaQ&HqiD@(7r8t|t72Zqb1%EJ=EpMK;=l|M~?&5l1^nkuhu
zY0cx~*{SmCjRaEVm3Yv{gj?)?s=UVmPi#ci-KO%V0*};n|CTC`Flzf<@yt|t=V%&+
zobt$##xtQ3xL>)c@-AolV9%k6o)9thQ{~|oTX3xNfW4;5oAjD?WzyaP*k*nf&IFE!
z=p290`MK=4Svt#}>L5LkK5*0G2DYch6r!F=&QOI2#HPx78$0mEBnqX<`yks@V;Tis
zs81X;3lRx!#LE4;eK(eX!_Ttg&LENJ5QL9d3dQz{TIVv<<{D2$p9Ul1yc|^)j}e+R
zp*j^Of<S?LjL-y{B95P%_JwHjbCxE#yz~P{p;UPZUj8(X6zb4mh#H3G)lz6}Herc9
z!(N0sDJVHayZXZ<g_FDba5g+C%;Aq37_T1sF%XG?YB&5(^iI6ZPPJd3pQ-Y8mh*&Y
zxVff2m-Em`HqPZC8ewV)VR~e#Fja$CL)-{A9NGeh8jmO$soGXA!%BlnRnhIMUkbOR
z>%mKv_k`@(*@3D>P|Mv~%TpvP;X~vU34XH8M_?Usk5w3~0o<t&uyDE8V%*~dgQRY*
z{vC}lUetC@3o(f5$<Q`WCW%03GSyCA`BZ|b2TxuF%5AY!d4At!Z46);gruC9AUg6#
z#;H+rGLe+UR5XpFWg@1pgyw7kjmroQR~|9gjFs{g-MCRG)2`2CQsv!JG7=*2TZt6>
zh$Vq>#6<*V*{dG^RVKLzs#5NYCSU-ndI}7eOO=P;1yJ=>{EHs{rN3qesA`ldukO$p
zv?@DQUcHf6s=N}&D)8*CZgxwh%KJGmF0Obyn)Op%_iw54`jRSdn~!tMh(KF^1}+pp
zTMuFTU^mO6CorBhXbZpCQe;6}O;Y6@#E#M4?bsee8qTUe1)JEs?hga0?c>An08bq7
z%d&1@uH<JPzJZzQ+Pi_7N|kpJJBB7VFvS4lYng&W5IXrIiF154Rb>%6F$So5041;v
zo%Eb4Z<-}Wb5X3P%1emi1`<UN!Hy%V&u7QYs=4eb7g>D;+f!o-6(g%b0>weYTi9V|
z5GZ5^aSXN{^w<@@_<o01(Ut!mMguEDkddDMOPJvo*g@oSvJaS{U}e%?D9kWq22ADZ
zM_?Le6Ehs(yhDWJ;2@K<PXrwPL@t&|;IL_~JBdj(t#0t5-=IJYRQF}e1<n>9Y@Elb
z@_s2N>mZP98azpEwv3_a)}J7n{-u<r)t|A3z~Ianw*UtBFdT3$^sKh#55Y=W>d`-C
zF}OLHDsL!z+BWL+b6`>soI4Pji-2?Z$tG~XV0++PDplU&y%yco#5UxJrpRaImeUC1
zMQvBR6r4K&+UCh5!8uK)8aU@uDF)63%FTgPdH$%(@)U#Z_Diq>IVVviRJKf1X%{Nm
zH`wl}(3~y0ap}R~O4x1&E9KjUf-H98eo%e|ZI!$EbznVwVacosB77c^ou`guCQ_%*
z%q%?1`1X?NDW<*!E9En_d8)jRWslA_Sk(nkE&ob>AXQ%7vP+Y7JG4xey_PBuzu4Ll
zFzjH(0*6(;>Q#&jPA_w$j<c+?nWBGL-JfFGuH8oDiqFWhYbaAis=)TH&~oKG6`|$I
zXV)SgK+8$Qm}^q_U7+PVeo~?3^cRbk^K+87xKut27@p3{<yIW3zJaf~#Z%?sXEC}x
z_2}p?e{_9FmG^`TCN^F;-JTwunjT#<)l0Ix<8$*`gnDe6F0UPGES@lLh91&iwFVOd
zdb#w*;St-whlXkNmI32zdlOeO1)||quS0dM?gy4#G}W1$T6Wdcc&EL3*_y*w!PTg$
zvu1i~*|`_4n(S<tm|Av9d%Atz<iy(1vCibOwVn3#%w%WP>dE%_nvrETGnPSBDm114
zS|!s9EZwka`S8RVcs_b`d|hi|Ej@;*isOAcQBVJ+>xJn4;3d*qp$Qi{h{`9@GeoZ*
zkIi_u)b<F^RQNaHkJ^_ZDCg|N*tleR!LgaAOV5gA!CTxa7j$_Bc(zmQt!AkaiK{#r
zDiy?4Hn4rL2%hLEgeT$`Tcdl7t31zZE^Z(kzruUjvi6=};D9HSV((c*SFh`EOob;*
zZcOFP{H((<l~mV-F_qicF*J#(hyl8byuGtmCLUudmlDaXM|$^(s%q_2{?2w$bp+S_
z(KS6^Vy7BWw$IZDJ-9rcTkpGUAFQ&8o<hooU;3zQzww&$B;GnXJd4WqE268{by(SW
z!sII3ZvW&G(d#;_Y^kmbm2E$E3{8|x46vcH?G^FzYO1!#6jX|4|KzIKa(0ptH9HzA
z6|8Bevwg5?CVC2~8Gh-bnmyTT&J(yTqh^;9UA?ZuYQ_^LSIwTr&pNDTsjdsv?8WRD
zny8r=V2PTg%i=kKkVk83RtJHR?0bMvWw1O4EwBs%3Rj<kfJ1V1NCpAd_B(@RXls$5
z!}9$e(;ZA}7IIjA9Qzado`%^PU9<T~Z~U&#mgTVgD6~~O9b_Avg_E7Nu+iOIEyo9`
z?Z@Kpf~w`o1>Xa;M05$Is$V%Q=jpDW)Ck3qz}H9?OI}<DRm#<%PS6_cW>oz#bSI@T
zXBU1C7LSHb%Y^NRG*eexZGWH1WclAvwLiiZo-{(X1cnb*cjJsjE=$cC`@WudNOhp{
z`C_bbI3DJ-{9Z{`V7$2`bSRh0a&ls0Yf1x-I;~<+9c@RdUG9WQ4pckgf1=#Ad4u*J
zk44O9O$!qJphzam2)%QQ8&W?)kb2)zQdj$64RKn+j685!A{`2~GFD2}w|>zhCDd(c
z$uL#q>`<&UC}F_JyD#N$us>KiEYHX$fgO2r7dEsf@=nvK&>Y$KdM-ZvWUHU!i2ysm
zX(&84@no;XxUt0%%3~9k(Fo&3?Pb68*u<64HcuuQgVbcI9h>l}1Us_eou)v!S;%4O
z_mVRE@K9@lyvPaphV%(klz&6|6dTQI4dFo=N@0nAblT%B5uw0DmYwnT>aotU;n6Al
zuY+xijk}w;(nZ9ip>Th6ZN)2Lw6^%hC5V>*sVFzl<bk_&MZr&YPrWP3ySx_TW49FL
zRvKZvsI4f~6co-6*H`a>;yjt8qG&SJ6vd}fOi=>mmXt}4mV<6#MesTN-qQ;7(gfLS
z3dA<4-Yq^pqg8pJ1=qLCDE?4JtMYj!wWzBozU2vCJbHC|vSqL|5p!j=+Z0~394b$5
z+R&*rpdh)~YF>*)bw7{+c>R0)Pl<o2oSq$_vZ4<xo=XpT=H_eR`OxjeqB!y>{72yJ
z@$UAWaR|x6E13A$=w;o@$0pjttJY3VtY3xMONI_<Q3^{HpVi^nDg754sP)r!o@Gai
zbrYG5@rgUt<h5`xi90V0?ftyww|wf(z5h9v_bSeVq5M5`t$Cf&3eMK_n!58~O^I-9
zo{N7QDpm(!GZdRQ@$W5_y7Teu6e0lsu~3PFq?EK^RPZP&Yefb7p1Sj*CQ~?{hLs%(
zT*LOk#wbKjp%?{zu}!ZPckd;2=O(Y&OlK$=f2ZV9&MQ>7p|VqVN)%e9?wlbShh~mn
z?3sIfh~Hp(saMgR8_NfNG=Pw2-(Y$ZI|v(+alB2Bz&SUVvIy+CQsICQFNI(Vvo4N)
zlAn1vAe8Fb3kcDZ336)_x<B?6b_`7dLSld(87+jpZqCwWF(4E&@$Q>ji+W7mc^^xQ
zTuH1QwXug)qVT_f;bg1}>PB6NK8CW@ZqQoa17;P)G$?iF0U17-dXj5idpZ=uc&HSW
zWGJvW38&Q6;(BH)ve&0zIT)xOj{hmyip+nm>@KGaTxs-FxSgp}^1=Q|lbC?x$CS`l
z0mlbpr9tVV_6<0Gu#$J4noR;5=-CZwnTRN284?dW2|h%CWBg<bbHKgufa6s1&P%-(
zUEjwx_7)!YBpPA7sO_PY0>_s_+dP>h9wx}-OqWgGIn`vQvXi<O=k(iE**c}RsDHYe
z^6Vx9ct!!Ks|hGv06jhziZ>-SpS<&?CR5F%bs~A^yP9-;D^%iq3|pW}sr;TEsLUqs
z{Ff#(6-37ElYbuyzu2}Vh9U>b&1&*azdz&5h2!l5)rtf+E!_AxD#{05=1}s^Uwb@?
zn_ynA<x2BQnmsVO9(ln}wlt(ynpE=6h5zEV7$3W}(ky^Vv!$3jK-)Z-<VqvR<XZeh
z^3F##nXK$5wb*cv0g_9$tV!pK`$uUXgs2WLqjbnR`SKXEPJwbgq}$XBc#k<d{ZXZD
z*uA8hypG7=v9MumlPdOgOh&6R_JuBbX6)-gDw;lylKG(KOp*A?oB5MiDY2ul0&Q8T
zHO1M@oT5ffa!SLl^m!$7q<i?!h8mnDM58HLhqUN3>k9ATzole)YE$?|td!3}8&5*N
zJFr55k+4f?E|Hb|NcI?e@cx|svlg4%h<U8ylRUgXT~5gZ61GSlcv~XF*a~G(kxIUj
zyzQ+3BhBZ)WpvubFqhHsySVQC3z(RAx|RO&uX~F~a<4f%FMz1=hR)<PM3;MvBFlz0
z9kRLmgq|YEW<>5ia2+~VJQ-o4$Bzmkm3GshR1GtCZujY2Ur)i{7z5r~*Xn*^9$x3h
zg8))c<jwAvs^bgYqTHQ(XgZWffDH|+hhZ}m0iKoIo%^$+w2`AQkIndu<*5D-G<r7S
z`J~XpGD_Jy=f40FK>uf;CvM}C0R6!ibl^FJ@m9OFW@5u8eA!@nq@&Ih8o}1*&$G+x
zMYmdk0y9t@pDj1Y3p{)NSHg>9<;0u9@|o`Q`6cvKzSlWeX;7+U1dzAf=XsXFb9D(x
z$h%qvH8Q<zBweO=bruy(Z<GqX?PrusPjUQOtd!4jlT{<^XNMAPydryCwufC9FbHJu
zJR16SBP$Zfc^Q02aFw|Kl5{!cTO%2ZxNjD_0DP$)dQzrB`Eh(D>02vXueloVt=|m8
z<uiC<3E^Geg?~|E1o~@syz8^3I=vsyT;G`<nHUDQ`ox~xY8Xln{`B&oKaJCqZwD=J
zVKDA8cspou3y)o20mt`OwDif8A?x7a0vd|IALwtriqh8gN5B~yoOO4LeCC7i>AHW*
z<0)=KSSRE%^LRd>X&7?QBj+1`50zl)&&}hx{bx8Hvxm||Pl%%Wc|7rpEjZTHd(GoH
z$d1?E4%o&%o%o>mfZ#qbkQ$xiugxFEj+>>k?5U2|1L*@#Bd%b3YD^*OspLRah(K%}
z&-2-VHzrXikLN13tHv}6JoA(|1sNg|lgD$C9d`zaycIrt-cl&GS2S{_@YiH++?Bzm
zpW2k;nL@KBRQI8Us3)T^F{g<8=jNoMRq95TCiYl3i{J;7LU}wBynHzfgme2ODbxwV
z5H$?Vt8W8^W)q^=JLX5IV}p`Mw7<Vw8uaA;KAfymo>vKf)ILY`G34Yxbw@Ts)y{o>
zX7c>7oF^Q@GMDt{a+*xZ#<@I1BTWA)gz2tQVX8idHN?Gm!=Wv3!tp;!Myj^g-@!_Q
zN>$MzVY3K4c$qwZlRY~-e03Yta<|y>NXf6@L*(!xezKj<z)Iqtu`rkeI8-5kVf)Xz
zEyh<njE>4%@7qEpZZ)tMqe3jA+7a63$s~~oO{Us0ET2j+_28}dK)EfJ$<y!Ktd0Rp
zgAkRUlUVTlk<n|^oJ>UJn^ZK7r)46iCl`s6Ja}*dR?1g&<4B=QyIzyY<auGqNQl7a
zK@Co-Q2``@al}OgX4$JCD`k?4AS>m*XaWWxt4F|axlEq;T>w_s;$H+<(O<IzSe<uu
zdu$Y7rcTe7iZyC=YEP(@8cz?<)mcH8Q#HJ$@_F6}?6cPg*IMwX*2{I>d78ipFAkfF
zx_eKyN2fZgI+K$Vlg_*A;wHa&beb<XWZ^qISxu_<0G!{nhen&XcWZ(cKwP&%r5f}S
ze+u`bY#;2VS@Z-Zv<7kE7h8%f5;V!@`4z7@S15Bgv9-%^<$%N&iMC$%VVHm?4hUM-
zwaj1fGY?<OOm*#D%S`3--0E{KGu`Poxt1vg7+=v8EP}Vp-x?x$0B%7D#TcOKEl9XJ
zgwk_9&quMuXfBHNe4YtBWdH_JQ}Z~&dIUReR?THkxd`itY)_3TRE)3&2^7!gc_BOO
z3<8DhAdbPdgI?evejC2yRrGZ3wrvppva|p_%Uj?_Py#XU*l0jxf{gUMU|N1QvV*X@
zx3_D4G@%dJp_o$AUMTD^WCl#->cwChW)nLcWF0vTAPNgb0OIx1$^&zD-FmC7)PXf%
z0-gRd_*c`EoD!RAT3vf3)y*gp1JzC0lA%Dzd7RPnRdTWp63J%kl;md17@EFI(DWUp
zG_7vM8Ul+mW84B*+$Ty#s<60^Vx>X3E~gJS&B2VGU(24hjXvE7wSpkszrlwHNQa-C
zWutDgJ&+EMGN=tjD5Uo@uSIt~u}!%J(%nNNj2E@7ekn+IFSN~*NrH5mOf`_srxGlA
zL69y`ZVqJh^haeDs2F_rg#<e+bP1I$6J5HUiuMh@JK!!?bmP*4!<Fz|3oGT@hJs|9
z;`B~_1#OkfGI~C?WYz=~9u74!p+clipP5;Bw()|J=_#h3i<R=3+B~D@y6n-}2CMoL
z2!8%O{Xj;~x@DIpYYj0BJ@BE;TA;|I#xDuO4%Gt3R<89b#?`8qIa0@2R@qF^zrpTL
zF>TkbByz=PWZ5;8sUlTidsnEra-ND%bLF#Z5f7l|Bx1}ZD*P@`^AEzr1Zqxyv8Xve
zCwUH4<p+V`=>&mp#Ub%XZakys6uciQMt7$k9sT8xt`8YKPdx?FLZ01T-GQu-z2x&;
zo{Qqw`*Wdtn3MHh5qE`ak9t!>4HIyF2k2~f8`lYikl~H3Z|GXx_s#JeTXj-Bc<DF)
zOOq`GuJh?P4auvYVKa2W%Um?uJv2|@iiAG7YsCGDadA(NhQ?*IzWNF@-FM_eB`SIV
z8V6I27q=u)2;2CYoK6zkxT<NQqV`nhjPa=rkY;v5*^VnOZ(XKxv($N!pRH)O&$|lg
zU}xP^RTslxyx@8krJdzoBE}ikhDzHuH%-jG*sYM4>;%Q3wmt9T5#DTE^HP>hW^ZVV
z^Iw^CG6zA`@^msgK`pV5MnMy~i+Upt`W57{4bD%yN$Q0XN+`mDty-5Ees>pu25g4K
zftTO`CBXqD3CQJ%(3zCWv>iJc3tMYwFVePxX6d$IgBFamoefp{BW<B68yTvO!TE~R
zMVcw0)I~l=jC~Go{0Hrpca}tTu*k!>)J4eImh`MzD<{Tg){pD^qvaL#QdLzrl7VVO
z4oLaVaUS8?fEP*UrH?|o79{?%ND3poxy#YMxSk>XCPDg*rKGQ}#u@@JHggF8#%VOj
zN?{}og7u3YDeZZ$D;cH&4_<(kv>yQ$E^u<QJgL!1CiQqp?iOU_8cTDA+|(_LOsfil
zwSRJ{@wRMg*!ysI@k65{PkO!ynu~zQ_{p}vj_)EuONAivN4*wVT~{YPZ>JH)i`sZa
zDTw@WXqzXKL}WCXY9O*tr5K1DD7QG7w#614Ee74PdSGMyzEdm4K=t|r(NTir!&R@P
zqWt4~$D)I~YD{d;A(_YIhW7MGYX~k;Qu3n<A?wHZI!t<m89yk$K}!}Uh4A!ck5Fq$
zbHX1r@yMe54u)(?c3il4;gC9XA5j1pUw?oPKiNGcb%+o&X%Pc3-j4t3wih2ca!8()
zUI>*~SKCeu`ehh#KB`&m1a0#~k{YCmRMQ}zMllTvlpEkANAtYP76bk8TTbi8FNx(m
z^$YZ4#rpPBS539oZy4*Wni~E4PHPBvW4QWD$BWeDjPYsIk>Spo(cw-@6mMbikdo}?
zHL3KY_PZt%sm4j!0>*P)s>b6<^n$8^pNdptH;*QIM*i>aj4t;2;h82?=0X~Gyr{kC
zR9`MrnM<H;o_JDaH1TRG<I^stGJ$gY#HC2nt;-Ywb@5wGtIP5PISZE)0%`SfGO@Y>
z=%%$~3AxK^ry_rynd%I;M#ozUT?whm!<_X*R8+zh{H6&-D)W+T0pqzYRpv!Rs~AV|
ztF1Lq?f}b9v|`iNL(VG>T=siPbNTtDTxOe8uU)=6!_>+<5$N=1Mt7c@(W-nRPwjNn
z4z+PUv-8XgO!;rnS<F>&4cQF7K$m^#px%u0(AmOsrZ=}i3rCg!=W7#Y-k%#xG)(8u
z%*$mvs<F3}f?2<486~y)o+s&XV{FGVzN2e(KQ`}T84gRlkU-JfbHCJ72!|%P5P+dz
z^$To<#$h<<T<2RTUPCdkA#v`1+1_o~EzCL7uQ3qS*P+qAhaM_|f+^)oLXc56ATTlS
zg^F;fZ%PIwLn_(t!^s^>c6qJp)m~o!8G{5b_@5})Ys(CB0%5@UuHM9n-Q~1_6OEF*
zWZsE<ObK-rgmy4i8kEYIK5#kDUXwengd}w0>KLfOZKKhNm5vCKF4GY?kcy@O)4~&1
ze^)X+#qo==Qa;DcQV@VOz%dP7_8!k3m%YU*#PtHN$?XRHn&=<0N^Y_$_>kZ#aerO9
zoZ>!`v55O-nF~a4)FC5fDwG?_SCXfAl%>~P4IDDM28PSOCWj@&L7q3^UvxQ_{_+p<
z2-mUKx0)|)p7*!zjrv)C&lt{(wbz^SlJdIeeTuy1ze_frm+`mWjM(3f7=LZ&HDm3m
zDRE0#JKgS&dNC&N?W4fryp`DY-af2rb^mGp`Q5I-)!u#H)&DMzR`@@=bo{)gNVyMg
zs9D{G&5#dnE*5X848T8Nrx1A|@4HZmGpI^x@NVX}sO)TJ0REpQQ}`VX%e!kAzX84Q
zi=4)=H~&OWuvXS?K;su%4Xqo{y<`A>1UpvS&$icJ|4Lr{CUpIQKMXnA8Gz;SF17CN
z4FjRTV{PX6#h$sxhxnbxBfW|)V!-l&9}Rft^$RrU;J7b;koi279YijHbM8E55!mw*
z!dK0CDFiNMT{U0L&pdq9Jk_;#)m*=`8lnC)JBB7#&BXvcGFlgB>*g$77O$FzOuU-`
zICNYH_t{}t43%~lq#Ib;<Vt2u^+O#y4_PMU^m-Up#(JUd=7#8IC|<oE%;s#uMEliU
zF5fLwP|;t5A4DL<2jx<fgo}#v{7TrUxSkg5>JAj@f$H{b*;eq;Uk!I|lT&XBA=ycR
zB|q$+G^uHI`(g>56|C@itTZS+*$9wSeirM&$`kyvY!cYvzV|~d7k`l9zMsH{$N?<;
z<TyfgC&W8|MP8U>VhDZtlh>l_A=yg+A|x^v{zn>Nyr}Ic76LWZU!ZNCOcJIMWOAm<
z<_X^OOD^r=!?$KCJ4umQB?gv+R{wN0<)9`5H~=bfYoSf*YIi7Ha8hRoiZ>-SpC@=l
zlc{FXI*}*%+$LS04V7k#%IEh$Wj0Unx+XIfM8@r<f6EfT*tP}A1n<5F%FSw?V81`(
z+6ACd0%m`hFi)u8@+j8#s3?C_aSr7P-ki;HUa#d!^HLIfV08VMB7U-^A+W`8OmBDF
zQy>Y33gL@?xaRLxuf;6;`!*V3yl5}x@14*#PbRt22r{|TP2>r_v&m#-KdHrrduo(i
zvadGj{NMUVX&<Vn{=JOSA?xJJW6U}Q%FTg1!TzYyHtfX-cGPSb+oU=<b$5nklmSb0
z(KAC<pA|;*p87je)xFkl-OSMR-v8#Bp1AfS5#)Ox564Q09fkGk`vK?4yOphtqj2uL
zJq_p0SI<mCD$orR8)nAf8Q5Wcr75edwsqaC;;=zIq-2`3t{nt5I4=dsA-RX-=ri{U
z!_7}9nV#a}DOf3=iy@#1UGTtS1@<CTTC<G|=jGXB?qS^tjw5Rwx`dd@ssqW%Md@-%
zPLSY5a>AP#c|KAB5JiD$g(+$N2LjWy!C_v%!0#d~eLYM}gr(`P*$GQu1lP3i_~NS0
zczg9&XL#t4o=$P<hojFNZXS{LhSWny`ltY~>9szDvtQm4w{})g_A?o7HZK?K=G9R?
zV(oWV7jFRu+775I_WY~SZ_#zTpPJ*L=g=Mdr8SCq(Ox<sOJo<sH19@xU+jmXw?$ql
z;){Q{6#t~AS|~gniS2$ADgn-zoBiyIY#(euPV|Jnp`ZN>zu2N;1xEGdsqm5zxKH(C
zuQ6BdY(UIe1O5$ON;P-Ft6EHidMXKme4hyG^&Sq^3ChGRvmKE7aH!cp@CpM`MvbZu
zAyrTc-GEe+m$!HRvdb-Riq=?)2po8MI}v8u0S3akQ<7{d%oL)Ap?URspwMiFnf6ax
zWBm@S;1)${-iVCLNfdq3%8|~RtME42RHxG#T?-kb(O`5Yr#H1mr&@A_YfVhH#wVs*
z?eXE(BxRPKBCFqNn<oJJ(2_Px)e$Hy1Jz;KLIX}PI6;GdEry?%xJ1r=iv)B|Eg`jX
z+)u_zgVIby0y@_A>nIeh){wZXNjDjvXtI)n2(BSn1R)%qwuDc(7Vb^?<f?XQ_H=9?
z{7|SB49;8(A0ojS{A4dffhEVqkQR#ht2J5uQwu-sNhZ8j<K_~#e=<NbMx%@uwJmFD
zfaWRCHcu)En`u(jpk|*^F)$}k?!YWT(Io8Vl?Mys_hn3b3}(JCL1b$?j_Q%Q%{qaK
zrcZxof+_ES=4_#i%LEP=!IW2QwH5sT@IN5R+p%`OS|9YJ5y;rwnN+I;K2{J|M3lhi
z7B}3?tpP*-XvxHB+k87wo+prmSCB4!=4T<i^6ir8DJ%UAtd!5r?N5d$pkZYveg&)<
zsI4xdc|=C*SJ|VpEm8FxsFokUG@WOeqkExo&fOD^!$9@ZbUB5dAU%u3fHf-WSif5B
zi_jD0=V|r^&=VprgP!1bfu8L56@{MAU$cXroKct}zU~0GG-9%%2gIbF9=_zd>oN6V
zEuEF*@XLWGaZAnvB1h}Ge@hN8yhsZp$V?7@zNTRTJo5jbQUN@&itU4iM?_B{cm%)L
zf@4j+*W~asUeoc#)3Ng@utXeGDnU!05~6cFb<qphakF%mJ=KG>K>7fjbR*l-mV=W*
z1Y(oJ-^vcWF^NK%BtFb`)tE-*h){?~Omg_ov*XSnk>?JC(LJHqUQr7rv(ddXU__jc
zqsk(>XV!%3beu>4-P335!_Hsmvcs=fn&k4*KS2;m4xd2x?#&~GLia+{Ff^|Yht_5j
z-P<$lMQB7%aEQR5BPE4lS>ZD~g|olQBZ}dV+KaFD_$r9RK(#ymr|1&?{7enMo17;=
zJ0>;OT+X{L**KSnXoTqiAx!&~3RBg>8sc?P!=YyHBG@O`CGqT^^k8ZKdQ{0s)$aNT
ztTZT%X&M84@KVE{nLRsuW4#O13PPf%!G{PWil1!r5m-lDNYp$a0Pa-iy!tAy#kj|5
z!J(Ja2;)U<=d=_KZA05UnIs&l$y9?weJa7!gC}nT<+fOAc)xG6Hpbx5l?kF-@F;3d
zCXTX<iuMg2eGN2c3us(M6g&!x;w!OIzM^yIHBD;xcb1HV@XA|=6#R%KUWp?vA~4Hd
z1ym`MTm)1p_eB#h08~xGaJkg*_+0>1U&p`b^$GfGc7UpLbjI{Po$p!M16rlV(!;@?
zGXl=0YIaK{h5r>WF0Obynsu+P`?sX<EuCuHKI`KofS2Bm^PB7LZ1**e8IhAeTSKJ+
zXzO8YAM9pX^b~@&@QW=)7PQsmXv!g8b8*{hdkpEP5Ga*q37qw4qOI3`7#`q>1AbZ7
zP5smOnTK!cr@HoT>T5|w*N*<-O5r8!7@FMF7Xys1WeN_#he!SdMkN<IF$SpmKeR=4
z=%nYQ@EciT<l-o`V`$sflfox(lqnKL?|@$%S$z>ZZdT1@Pr1nItJt0zQ>gf$UXVcX
zr10-#hn+#7kR8M^*mlrkSNwsLk9!qelhea!U}Xq0GK3la8#{<xPWAya6s%0z3xyem
z%z&v}-2<j!HZj8i#*Nd!p|DQ`9R5_gO-bOeX-;?PXf&;^SA**JC=dhHZ?ok>#O?>@
zsXIvAxlc~kK_J<5?~>eX8AH=;|D9;M4gRMD(5<${8UlkeW84B5+@2*PRT$jEu+pGh
zmD3p9983v+X!f*i)ah3sJwb5pU}!D^&fzCp6aog@1LsmH;ZO8hbXODGkXzu~<7tHP
zqPDAD3eKGjZS!Q3;G8B?4V?3-6a(i1<>o+2cz;x8d5Xby2PW8I!FH%@nW)l3sA%6{
zyQe{Ow&=#C$Aayiik0$hLw<&LX^8VHXscY7624n9Yk~-0NMz@!BOyYhPM?`sc%<<i
zCDT&||Ls^QpQ+7L!hbS*bhg2&E`n+WM;gWcEX!nl6j~<BUP}p&Uu^9N7<RB?fx{|a
z_bSE(r<XZW$Awe$A1m>vn6_)T6S?9uvg{hlRFNvMy(_d_IZs7sx$@byhzHPe5;5jj
zCw>=b`OaTgXgU4GqUHRY<YUq*6Eh4?C#`lX4vAby@s#kGDoKoPA3Zwy%O71IQo^71
z#LiQv&yzR*Rqm7_dJY*g0%fA|kYwe!%%V#J9lF4Mep2|G0&NY!O;LF>YdPJ+YCWC+
z;l*%kX4M)<7`AGvGd?vsJ$iM=`#v=d*OoU<Ob$=MJ<`tfWpIV}3aE@Heip+eunnuO
zTD4}RJqce&A;*~eK~^&#8s?@y0vK-Fskm|~pbm4>FV(f?{B|$Eu?H_X{Yjc`q4TSJ
za(YAa>O^dY?jxHk-VX~-R6L0t{H7fsI&E=oVq{!yn&8OHyV%d08ww)N9GiREdqu`o
zJDhB%eU*Nu{gX?`4ok>L9H$MH3gS3ZY#%IQD0&Lvm-xlD1U<%aUg$L!H!O}HlRTDO
zkK^34Be-`vY}h1{o^L(}y$HFbd@j+|>pC36;R%x)!+9G&>u?Mw)pcPE=XQ1sO=37=
zfUZ+vBMEA0z!=UIL~`r#_($@~U`^W|S}RXQKx6}7T;2N$JM)O{eUS$2q4n`+<-gDN
z!RnsqDWrS&rH{Jzd#^c90jz_|v#5K&Cc1iEhjou9Os?+j{tcIiUe{sWOLbkSdk3;(
zXrg;!fDLtTfN?QvinquVRvKsj<f_`^*@;F}?O3Q(u*{vs_Q9%}=qaRX_$8uhJ18ey
zkS4Ze?@W7{_1a#Op5QfAw*`19&N;EbtaMj|NE;6kPqRa2Nh^B_Miv8j#<SR->{X=5
z7S%(<rNoJchhM=CIfFQ!wuX%!FQU0d@7?TJN5V!g)wO5z^c57)r%>$plk6Cp7(FpS
zkBpWcu@1*xk*#yh;O%4;R2I+q%{6)7Vy77~dH)WT3QXRAvVE|kCwdB*Jp2+dc?$qQ
zps7cU9e#GH@PA%o{W5mgQ?9Z5A0n#Pb6CrGs^n_fKHqdH=ye^|vQ*cFT6QQqh9+7j
z2H2aH)o`eomQg`Z%fxT4e4WBhGoocDLZt#NyMXP3)iTjjNXzg`-?VJRYs?ck%M_Na
znk8B`Ohom14r>`tm0T@*E<fq8mZiEb)UsEyV`!pfVt^%DmM)8TM?<KasaYKY+poT#
zd>UC;VOr+ueB9fK+{+S-r1LX}%6%uOB7ZG%44+&CTw6dk%dgCZ@<T5*UU_-zGSyB1
z1HDrCc|)MG+sj_fie`QSf_}_ny|W~CPgQ;NG*+?J?r*)wTzwY16*%qjy|is+MS$*I
z-fUbw9;%kW7{pNyfX<ds{AF{;cE=G$+Ybr>Wj+mUap!Wo3nx2khbPu-u9jn~JJP?_
zw@1e}S6_pw=1s<~j6sE>u^Zcy<C|Ytod_*dw?i#)lm;cOIvHE-jW`+<ocjmV0zwQC
z3sNu?QLv^EINqvtnPGT$0qDTyqzFGkiEyBYD+7}GOXy8XW<~_zzp-@mR9l(A{ha3M
zimWZ0jKDnrRr@1w!8sc_s_wxFdwhYH3bZ>T5{K07iZRmR^FM=j%O8<c1+JS*(T_O|
zo`764F}`+m-OS|Z_`24_hUw9X@u}8Y_<b7UtN7yA+R?Gjq<%oXq>7orUf&}9e>nap
z%37N-xG3PukME!3PyPlpK<QYJ;>WK9@=j0AteI}%gKG8at%=oD2for%_QRdE?U}LZ
z7F_6>=}c)J^wx;s%0YrF2bOZBIsj{kW29!5fn%iUGh#bl+@2i8_qL~$OK<(6M@kFP
zF(t!PM~aTZN`uO`K;Qn4um&9R%+1$s9vayW+Qk><->|*^(-5CU<|GsGYYkx_iJra0
zKj4KmsYLktstD&V8y=m)DH6wph6z><xzAtPvA|?_@WO0r*r#*c^$=~4%pP+tG)D_U
zJ$np(vX$0xXCwvRzrawiYi?`70uy>8X2feTZl7_4@)^tyjWAx+_7+NymR8U<PbL`$
z)MTn1E%m7cQxD$z4wPG5Bsf|rx@GlXRrmW&Eg%Ec*$JW}e`NNhGpH!9H^<jPa+dlC
z&A<aJwEW<S7x;%b@iIESDX21mNS@T3z!yz9GAD0@@!Db?mn>c~qypVc(+95C6$n4s
zJ@u|YAM#p^kKIzB56}qXMQsJDu7$!O=X!e6hR){Ni|EzuP@E@|R3J^JngaP$iYZW_
zoU*ua(b25$rptn&_<f`m<uwW77And~CWO`+x@a7HvdhG2F1+$L1P;U@SJ0B<=?vCt
z5f~QK7CQ>378ui!aX3joeg!kKr8X`&JmaN)+)D%s>IZ(ZdrIoZc0>{7Fvx#t7Sre#
zeA{g^K6*<-wt`CR_SD{xUJIix(2(t*ZJtn4Lj<9m%NlGd%z-8|m7UaMZ%)7JK??yY
zgd#SFHtBq*e`NOW306ybATyr^b7hmM=F*vN@=BEy$HrZ8eqxi(&+i|d{kzB2#XZou
zn%NVSQwUY<y!%*_nP!riV!g8CK!o|4CS7luMIt}F7b3sTBC>zteshzVh78j<Y^D?^
zEyO}NSj{_uWuoREVE6Va5%UiM<@RNkNv&sHt`ztLe!FR(;HR|Y@heY(^L)M)Wp<qc
z2*w26f$^F3tMLK%wRi{|aGv$+C&nQiLwmBlX1X&e@dR%Z>cp)jYn|UT!HCIU%4RaZ
z_(?C}^Uz#m8;YN7{`bR6__5a}&nvkR{Q-?JUbGiK`W|STCzSLO1fiVOn)MR?x5-Rp
zCp~)!JAKDxU7U87GqwX%>XS28^AdJ}wwscf_Yw|hGSy5v>oXQ$`si<06(8HA>%;p;
z<(iLhbPrT!lVzXXWTt}1p_K){*p?->vINR4^H!Fm#nmk97FUHe$R9y^4f<@tSQYL|
z&lYPCZ83XTgW_9MxzvaQ9q#fYe$xb`<!4j2B=G7km!BEZ2H<}k#KBLtko05ud5PC%
zmR-D##uzW!%kuM5XqzXLTz&+h@|T~tHJPdGr03=5LrpsWK>x^GTYhfufz15!^Q9(J
z&7^Z;`T2g6uD{zqD%X~uAND|HcKNx#$xH>2L(30-u`Nq%`3aPJOwRHnjjcAE-I7|c
z==lAn7oEujR|^-N$I=X1Lnn*)+PM^?4#A&Tt~Ij(4!?AQ_~&+F36aZ+{FkN+Ehq=x
z?J^^7XL&m*7nBw>7unC?C!6ib1!Wg!{tEr{esyPatk*|;HkRXkG>ti4w3h|uIB1(E
zoLpcu;c7U5Pq&!51j-F~>f*?Yrd*dT1`6S~oK}dz1W5}O;;5@9*0fh=D1<1-X#|x}
zvb3G}m!<@1#8a|mh-a+Si1kE@po@i{W?Lhk=k*a6b4w$hO=FH1?L{MA0B!SxlNzB3
zSJMceZZVArlzW7y5w5^!LFn@3KqvgR(>hTlh+5MLw#n-CaE1fMaasoECLhVcqam3u
zgB+33>h}=}9jMfK81*v9$Wr&P$;hMd<jH<;nDhYnfA;z7?K|VslcR7D<_aiqS@&Xy
zm1Dj|^(I6~KKlBxqA8PJ?X29xp@CNF*~}N7GrhSDyc$^&n*5dS<cCH&>WA*p8O_gP
zO8TF$hJb&w`Ukr1UrT0Uc!_4jJhb2?p11B`dtdBls*}lk|5sBj^kzlmLdN}MC9*G7
z@AzGJ32|*Udm%&g1h%u5k{-X<>yq`LfsQBzyf<hn5M+83J3_}G*wN<Ha|YCtbL|O_
zdRea-sH67kMS}qtM-5&LU&;`aiJM>h65Vf!UoP40NvX1U@xZ82^&2E{{pDqIk}OQ$
z(BZPvXNSO|s}c&I5~8qW@FgkK1GFJ(7@Aji1BLp24TFS&Zenx~$S}wHAzHyMI!XQ?
zQaO@WHTsZAUT)m_(319Ss&N#Tfod#UYH+RlYs*PLDrXN&{6Xz_>`?j?ubq5JGRgi)
zQ=2vv&nzLeI>-BTtTZU?MEWh*Etr%3#_Z|XZvHx`WiF<muPgUQFNY5i!~j3p>rlWZ
zI*4pnC83urQU7$=@lLPRxb4PK${6S^G|G5Udq-4y828=KHcu+KBhsX*?TCCz#dbu2
za(OxCH3{=`())cG+wSiKgoPQXu1^pd`62f*s2-VnnWs_Fv`%N{r2kK7&KAnJOyF=a
zCp}o(A7iC_ZO+aVFU}O@7B@`HtpP*7zhu7jZtL%e;5=O<8<8%3W@F*Itq=c?2JGA&
zE9J9O=b1;l6fk0-t-6Tj5iK2$$sV0;fU182vgRMvG@WNzp@U#dHAmWV^OQCpkS?dR
z8R=Oh2COYnZ<eY>ULg~FCHW|*a_=;I18<fRd6_p$@w<2x^a_}m$nZsf`LBWs@MKVI
z4;up~myJ!dhgYqgoLIkVcy!HluegbLQB)_VKeHF~#2uOYcxW9tV!)FNLf*RD`VbCu
zvAo^4yoID_T|;kz$`?Q(g0iB8H<?91g+Sn;k*hR7vop<HOuVHaV)sW^JFf=r<}C$k
z7l==QPU>3S+voUYKSQjgF0JK5pym<HUH$K3W%7S^>Gxbsi4Z`-LsEu{)pM{JdeqY(
zI`kYaCk&GN=26RSQG5i~KdD8+`VljFVhMK&H?dQQU_7scN}L5%(t@u7-aut7L~37g
zeKjQDa!zLW3q@Ha%j%!*6h6>o3h$+1Wy4f=vVE{HmFOu1Q{fj|{VbSjCrkSURl>_|
zC`s!#y=LQ%jI-vZ04vc|37+ybqH$>E_{E;N$A@^vq+fXz-MO)R;70=+>H4u17<%Xq
z#a7>QNAC{82G2MG`-e<qSLFou+=4J9$V(yYU$YX`4e~P&ztfWHy6~NrW$YN5ywf5E
z=#kNK2<zr7T^8ZekcqF3u`k{(G7A)Gc~}PRQm*MchowcXB>D$&x^{;p@^~f;Cu3bu
z0BVRnhO*Uq(Dm5_Q1?%}WC}l>*NzUMz7x`LCQ;vI=fS)4omP7qLYu2+raLY4%UjhH
zTtvV%2`)CaCpY1<^b>H`cWkXVwgZN;xSp2eY6hivpqk1SX0byXoc~<eAg8=VVB8m!
z&{qLJ&&5iE(nXEHxaH3=oQ$4mYX}7jb05G%CW~7qjc*cnVk|MEH#M{<PPN+O!_Lzh
z-c^{SxBKR764*$>dZ-nIeqRqCBG4~>ay*>6ci}?6!o8BfZ^*5?-D@%Kbs%mhVc*+m
zgz=)bgHj6n-T`g%WRkG2Ad@p)_Ug-5n#@#ok|Og$A#Qp{A^)k35usK;Y%+lF6_C36
zA{5RCxT+sR@usBa&mTX~WU868UH~es2u**xR9^IbS4HAdY6<lAP>FLfY=JJN^3Kq9
zQ!2CPkN0mfQ$b|hJ^7bG@r!L+piJ=Pl0dnGGL5U|R5!N<EZ}~B#+Qo)OkN8!;kb#6
zmlrNyO-1?FO3oK>L2Kv~gPqZ_WBEJyEE89ECMQRSJ1xX}><6?qz$MG|@QxOGJBCPd
z?|qZ)v?~-s1?eP4p-Dz2<lJnQ^Aab6jAxP91EcHrT=0`E4S_v`V|u&WB6XBrihsCc
zANE?zQp`4uFkZA5#as(*^JJ1MjUbad-30)ms@c-t?qsiNGFjPAYOxXEfm+k)F>SZ=
z7dPqrMg60+k3m$|mr*)ooqTzWS*Jj`W1H)#rfau{M!<&oqe|Pb(-Z8d*)X<Abu9MA
z49h5Ekm#ak2A`fKjOaaqBO~`(zjZT1$zLlHUl~gNGFD3LD6AI`_ZPvADe=CZwHMeh
zv0-KmE{+WAEoe?rBPThfK_GroGDiv@|1d)!B<qkCeP&%@_;{NixT{CpfTJ8s7XGD-
zg*KcNk09HnG?!>C-79;HJuET~=#{nDJPd}Fa9&6r9+EDn;>bwYB6;9#i9F%1P==y7
zvI2~>ss`f7w2NWl$oO5vk<SDgh&VF+H9K+S^YQe3XL1^j<O8+<2!nnLRsAuwRQ<I|
z+@qKZ<%q;LRI!~+kZba^9@@dq<am0B96vGyQ`#*<q|%N8(}`~!z4m&nUtGmnldV_^
z0>}98DqXAl@i`v<O_9#aq`1f<E4VK9PcHE$H5tl-zlMa>Q?MBthY95GjT;aI#um4n
zD}*|6&AuXf8Z6?D@)_(X?Fd1b#b$iQ)Kr&3qqB+3r$io>qLE>EYk1y^A3^h%OBN-e
z`GYU$OwUY?x7u(<WWy$UB?w+5mKVZ|=xTo`ySx^e>a{qQf$BBcQiH6(!_|Kstazni
zMWbWYnSS$oOUSF7u6JRjL8*@sB;N9y4>ur&D=7z0sr3!lNpz@}3rt;Yl8=nl{LwRB
z9j&WHsN1CDf$E=1NJ4Ja$Du~T{Zeifk}lJ&x|NEi58D>H+21Rfp5pl3SSg?5CV~)v
zfM6*L1r>gqJucg|E{qh&o^7XkGxY0*R3w7)-|!*9RpS0H(&ZHQk&H#$H!EELw^WBS
zm8mFls+FnNTn#wYTmO)*fk_wC&CF3%+W_6Lgm9}5#=pk!H~MRK-0CyomEK;@Wa`tH
zC-mY^V_L+K#`jl`4S9n&H@OwCeJXt58>5jc==`NXfk(_~K}yglaXtE5n?KsHo(OEQ
zAz61*&7TWAUf1oudyae8=J3i=;tYAQ<_P27F}jL{#++Q_3))v!x0g+-rAq(XrT>#O
z4MVPZ<WS><PzhYHTS1%j@yV^@*?>E2AM8mq(Gy~)E$=iYez66|IuW>=*%Od(3YpBe
z^iT7ec4gAu2-uds>i?<0jUhV6^Oe4Y9XCs7*;5^*2hs;F`o5O!sWF9$FZzZEw9R6@
zo5w$0aeps6@Wvzx-PQd#+f`#4mEYA35eZW8NSkaY;~|UuWp>;dB=UTM@F7c~*j~}d
zLBexkM4Y3ew&Qq^(5wm7IXDqCwC+Jd6KRTAgh24=cPveEdFh9c8XRN2FOL-J*kFhn
zhUV4dptacqC-#cC5$dd<WD#xckCh}&ZteHD5Rz!L$HuITGbVdb_@lM~)xJLhnHZ?{
z#{U%MYMOTr1`+k)a-MMV>O{R#zvjXYoDCaAa0C}hpksR)uhL9IE;`ud0%hS*Wyq1$
zZcWXs25$xaxd`()wKpJe0vV0qq@#2$mbQ=?_)%nWa<|V@OIuGGh2|#Pqi{?T4iijF
zE*gdRnxQ!4;93v+X*^XhI@KCoFCZBW$IRs+8euv_2-Cr(!c-lEHAIRj!=Wv3JN>wl
zk*clrF<5C(sVe$?^(<4Cbghu0A&xB4krI+JDPYKP6aZCf)5J_`V|yHg2oK3l3kmSf
zDr(nNE?N5DniaHgotHg3dwcybsO4_2<vEhG;X~xaB7U;XM_?gw4^|kwAp$ORycXjw
zC&m`#iN)14!gx{JJ1xW^s&&vdPo{ybfe4UAi3Wilx_|b{rxKJ2p1lf`TU;bES`4~n
z_2lSnPMXCrfM*bzaz=va$R8Q9M$O4YQ;wpdX)G-hHGKm#XHP3GBRE_cs=gU3<tw`J
zqfn+@r%C=B2>ia1kr093L!{tGED4MwE+R0?UIkYvlUxK>DfdMaFaTHmJq)+Y#DMX;
z0ITlCzX+_Nzh(!lIv3XLQNWlweM78H=>@S;qv-**Iy2;Ns&<FS4OvBQ$nq8f18`UP
ziIX!O!mcn$4aNwskoSlMW?<o1JE(Tl#>xDk?GG(OzXRUIb&p51?$dSWd~#3=(K3|r
zVXYX+1r04&i!ErwT02=K6(^kETxRU_V~!aScx!v8Q~+=7!}h^$m_<*xc=|vEezB#<
zg0}<$5I-Fh0wb1r&Be{D?KGqzEmWh;CHLMACE9x3ham!<IJx&Q&*o<yzK5CW+PjB|
zRzwNow)78I3ZKl5p~*c=F~In8rXUf#R=yxa@&MF=@QE=%)iyZjI(+hwu%!&Rz~~lG
z?k|@Z*RsUO#Zqb)F-2D;qPU6Z;-T1aboHg|xLGxqJ>{aSuVZ^^Orc_QHAtX1aQHrU
z*ck*0*+CqGZ3jJe#jn4A%B$#_oE}C4D?^Zxo(oLAz}MM9<Z`kPxS?QW(q1UsFk}Wy
z<?83)rpzX8_z2FA)8L^nP=s^+Qu<9v@bKu1rO)et5W^F#@d?7f){Y?}hIc2|v}Y7(
zW#Gl8)wKnz{ud=;pn4!%Fx07`xt=UO><<!m{vapoppXL>ASyT|V8LY@+mqu22Ci*Q
zO=uX9En{f9=qE(e9q>OTpl-E2)(|+H8RHhf;T};kQnfwb2P+NAWjTGQ>0HZEwh~dF
zHr7S}4iI1ZF6j>tEa0->#Vl=!gLBsJi`KTsrouTV9LHONbIxy?M`R5T&z`o8JpB%&
zCkW6jf#xCr9e%P!Az-mRfQ}qlIfak|eVW&zyPVjT+ydxU(g@>4ZC|?-pgSGf=E)=h
zI!&e;K<85l*54pN7btgZb2-v7(e0rTFroga%=#3A?jDn1hXviCvSlJmds5N9L3huD
z=4{c8OOFNJJsm6M+lC=@%Q03%U<lj*0PVNU1%zZs=?_txn*0ieyZLp1nJ+JyHNk|}
z6WMv{NSF|*(`RNDo@xBYlIbaf|8A_5&(s}}sgypQxHc59d66C2r?W?A8?5RwsFr^*
zU+x97OxB&yGFkRo24(zWYe#sJffFltdlln?)5{#G<H9NWVH1CfX}k6bB3FDymR&=c
zDpCcucZHZM=cx!WS3bKI@c?2@BE}%*_+238yWgV_bNY)#%=tOV$3YMMx{|c&MEnzx
z5Vzt`buFY$>260)Nrn!e;%70sN9obgU;gMuc2<;Y{4nS#7lQk?2JSp`hR>xOVqn$9
z>z)wk&xGaS4%e}nMVHpPb76a!k>!bxFt2^St=7`e_{`YYDgc#dI#c#R)5*@#3p(pM
zPbJsm8hlsj3i;Y6KK?j1vwnP4y(W}eOvfC=1)xA1rje=k`VC{S3t2VUhR2(hx7NbL
z2h-5SVM~t?E1`XNY@wj8S|Qax_4-F1?=ir4n-FmwRe&Ad8hfm+)&0jgey+8~Jo#Ga
z)AebS?AwKklKB-}T0cQkEp(D~XyipB*L7?^T~Yj6hvL;~*bK!n%o*l~2Bs+<Jq>(u
zM|DwRRIeSmIXJ58W1}*MhHt1#`xM@T3&{8u(-Yx(SWlQ9UOY(Ign8L?C#wl1B+hRx
z#jj#19truZgGvP<pG|BZEVw9o3PGLt#WogJ$Y;=;Xbx~!P%P{Ug>JH3?{yTnN{%no
z;C%BvJJJP>P0Pg^c@BCaa$9;`h~jbd{Y~tcS&GY^f}m}{Q~XD^C)<J)QKyc+7ZQg(
z*Ze7V(2dEnvn_4jQR=U-T{fnZ+ocoFNfIoiRmgo?tFi+KKl3WOT9QH1*l1z_gh1N+
zKeA(JOk?V)jI<uv;!&Vo{?ny*G1*)vo3+;=3QPN%^+xZb*|Cm<W5c`w2j;$eTkBd3
zcS?#}#K*B?Xc8M11N6uki1%V_cnt^`?6l2EjFo-xq-!hq?)661LLU0$uIJ~m1d7PV
z*-)uqJ%2LW2dnF%r;sG#7u)h!>$!N&Gh=U3y0lMweY)D$*kA}RBG+PU2oXQNv_GF6
zGfRBgQ+R0y@_I|wE7+bIQ>VzBhKR#1?YFRlZcLt#WB4JqtH$)1Rq45l9dl#y1RTR}
zvOP7XPLX3+EIs$KgKkV7*GqE^_W!V5Hl~x?WtlAsnP()WZJs?3Cw{VIx1YKdT^pN0
z(%5JU9K-$CF*K%e&z6k2SNK?V$Qfkw7!-FwPwurR&vyzRPvjSVaH_Ig&`a5|MqJQT
z*M%<V7(0e0E~prwN5)(ibb!HOYp&(4ZeitC`aioC>bdNMBQE7Lp;CcMc>~)AEAFDF
zkd?qMw#~9!%IyfPrum1FAX&hr#I0U~t}Sb9M`T~QM*6KpTCeZ0*73B-)w<8{(++R^
zQeC@Rw*aCBN*d{Jm+;?WN6<v)#PCXVE?pLn1e<7t!NyI^Y8mVx`+gR1WFaMPuAYS3
zQ}KeC?3@mi9WG%JP{&>27MhARz<!z@_%l~suf$Vn5JVFA<MJzWqg&=M+m)BME>pE@
zQGhGO8Z-o|y1nel>^RI%K*T?J>~>VNdz|W_!T5y6?{ATz+TmwlB}9DUi1HTA3<#fC
zgpFCTJXcGHswL2~IJ>mNhD}QXu~5W(_Y-#o7eZUyMgH!>$<Es0i8Y(6<=Cp7BYqF4
z+T9*LPjA}L*{p)Dq2mX5lyLJ4s}rGx>H#3TI6H=tRGo~iHX(_|tq132M2?gOMUW0v
zEZC}bnPGBw0Z91fq=@dTM6|910SR1cBrq8vJFJfawz#=~E$^Fv1!ipIr#c9y`$(4~
z_8S}`J3`%J7?T@5-Zp5r{6}eSfZxU#9(EdB>KD(3&tM)IeFqyZ<F_DkD31@|lXq)J
z$2ybx7;bq*z1CHi;B*J7i}62ED`NW@XzuZq#Q7NcCawl)f85H6aY14_cwSSY*2L<n
z11HZZi_dUpZF^>H+DYF7OH5B~7>=wH9O;yDq#DK=;<U7x;}$qAy{TlR>hRpvSZPo>
z4d}SnUo9w4#&n<+if%1g(!zhLr!O{k;7H1bneY<^PP|&3l(rf(_Lvsk&Dm4751YBG
z9oiiEl)+1(IWqmh<GuLR)=dz#hleMog(y}4G~I74Ww!>Z7t`omzrwQ!DznLps3@P=
z<d}M}0a+z}ZH;xV?u_O0Efk)R><fL;1R^ee!Xs>aidkH|gC-B$333s?dR*K;W6pZS
z-JH_EU%#I;e?Ls)j!zy1Rc5Xc{AHU|Ss$LC(W*TEi?+Z&yypwpPlSg$MMcwxxp%y{
z4G-b09_vi0J)ZT8rYT9mAD~H_F+3sUTMWO&N_{t9heJrDHFU=Kv^*k6ud|4kSn%-`
ze3b`})kzNkT!i3rECdotC7{3E`9Ac&a_5^R^}9fGWV`C=eDD)e_7z)i1>A%GsZ*5B
z?h2Rydm;C_$09=m#XtKecR~kcPY5MhzRhv~4Li<jdvjBI^<xOy=4mI-*l60-u6`)e
zDT>9cN}${zFEE;R-9$mKC4TFy;?t@BMG3N6wq$!M%C8lV6GuFUPQ#O)j8ceV!ZD7i
zg$2MNH3b}}sX?Y-6$~lQ6!7eo%lc(BL+Gro8u-cXDX9@V+aypr;r{5(W!mc@F6x$6
zJcULaFKTN=bsQ89ZSV;JsQe4y)zwg(C!5p?O}3g=_*9E&MWEcHJgulnjHX^USrjzG
z?;))jmn2AAs2L{$aMYO|UEhHWaq!m@;V(u%bYWgac2MP%fSDgOc}P*-1(UJGH!d+e
z$EBj&LbM4g3VyPCN-D~39y!!hYQMWPy3^|?J|jzAK0)J-7wtt|J_T*_#FOfxiC0q>
zpLQ{I36$I4Qx_!|w(Fq@*v%;oO5^vFR+_ga2wbQ%kDcy36&x(Qz0N2L72*|TTP&j_
zOZ-DqgB0X}Y;odwEEVMUM2Db);HM%5*~yx|nu7D2JCj}Sb=!|iyQLUAK_wPQwxQ$W
zU<L*2$U~rQo@i1rG|_5`;nOUp7=dz+^c2Gv7EQcvsw60c-+o#lenW!5^FZ#^viz%w
z$>GjqYv^4352F&I7_SrCQ6VK!@?V-9q!p)S%M#CEsTC)alm)c{KNV@k&Nd0uB-|g}
zxm@P;!1F}zIxe9R$BXu|U|a!h^JJ5Hp~+U$3!iE+y$F=^ou-<^XzJDct6EXe48Mo8
zW}J{9ZQ)X}at(M@>n0{QwT4!Tzed-z#~2mS<#{dHL6uW7W`58VB3-#5TfTUvOI^91
z$P?5R{8XeXyVohAW)u44&g&Mhx41G`>&aVb^zov-=*>HzZJvZuZ!`&OdgD_trZ<6d
zzU!pKBhS$al?Ltc`$=n0H$mV+?Kunl#rCSP_UaDAsc47NK3n{Q(IBS|uSGlCWtHr?
zKe|%)gKVkeML}xQcZpm<ZNg7w+H?xg%B7B)(e8my?!12Q^%hqVOPhW}qmLKuMVs!2
zws{gtZPFyHX_HUEm^KB<9prguwwQ!9Dz^q`mET`ltG=BebfH$Av1Vd&vIB{NM<>Q%
zSu+1%l*+Ec>(owGQ6+%RZ?5Dm`ME3SadG0sL2A??&|CyY#!qD$RVR&_(C&dx?z~R+
zdW+A?(x?+?^zov-Xw)gtHcvvSQJRD`jq)iN)2KkXM|&D&2}xL?GAn>S`Mss}>7WFe
z3-#&jH6x=(tQwhEKe4Ve-Wi27vqLAtd#RoFxKOB}LqY+VS|v!7F!}%6`x-F0iYiga
ze<lzD2nkFEIzeHOWFiERgzzgyArLSK2nbDQ=1#hAX1a&&p8W7YaG&mj_wI_wAiJoD
zhzs}win92RprE1;7nN1yDT2#m7k^MeVMS!mslQuQx2kT{?U|V2lkekX`quxcQ>RXy
zI(1HM3!yO0G5$O~FDJunf=YxJc@v?VGT7qUMDS+Zt}rQRaqX<2h!05ns*dJLtquD+
zk(N|K`fShI$&$JX>UJZJEh&mP<!&k--4ifIt@kqSZ*DF!Qd1+>OO5CbXg*iG5g>sK
zbI>Wk#vBa!^vzQz_Yzwgf*cax62Knx_VU?7D~DtP*~8jqV{^IHhV8c1uJwbz7KQT7
z%mIpksg@`LN5=k9x?$6cXpKS4Rh!_eN&hVHM^1*1d(Xd{#u;<?DZ!eNIbhO6GlxHF
zZP-`5#2lU_eYR)qggLwbb-NMAm;*(eKXaJ-D;1me?n@&zHR56p-NhR*F$bLjY|O!s
z@3orb;944jz>|<tz$El`^O?j?a!4nTNmPlESTh30L~s}f!MqIdL7Q22(K3k=ENhp<
zCWwuPs1A%k>y<iMuo>CM0$bypk=Qc`j1!jfW^bx-uMEagPJrqx!aODgv6Q(A*A?bG
z`e$`K=V`5YEwyt<ukBeoVJc;)+l@NLR0QfW`?QWZ+fp>-J5pPUL3AfDn{-qSELOc|
z`HS_qoGA%htZ$SoI!nE0)M2@vi-B>d2QmzjyOhVE=jK*m>szZw1F}UTSzOvi9%w&$
zjW>O|iH5DWs|cEmTR0{Kt+(j}Eu4X{UxEe*xA?eLr+vvt8`;gIkM^vctgcT&-EKs&
z)kP7dZrMMb2^eDXy!7sZjP%|jBV~<bogOId@(@h4Ws`II?-yzOd*g>@-K~B6!w%4#
zIDIHQU1X@fct+n`oSscy6<#dT_zUBQ=ZvM)OC8{uK2Krfe4b{uzWc9LW?)~9(!!-^
zHVKEABJ&p8j%3KEUwfF?tYA7>`w|mV?vC|#^7ohb<ji8={<1-R?5u7v#Nv$ZF=tW#
z?jSDmfSlxI0`UV%0xhDW%c!r5*!<D=3#Fq=uOo2}RvlG3*t7%bFRB?!(?1KO68?6q
zH$k}BE8B-wL3I|n50hkC$+hG1*oV&0>hvP#b)=8>texybXF=U=M6rE{B1+j0V%I)2
zTx6uIk&gGFONump(fFY`vkzU`0h-<W&^1Md>WOC$`{REu()>rq57U{Q=#~yJ?c9mJ
zT4baY(WadUQ)KR9+ldVMj_sHk3znL6UKgB_^gibAVk>eeAhU}(tK<)Org@l}u?IZ(
z8YbugkGlhp(YHSQ5u<nm(Wg2RsP22oSZ{R^yz$=;{+GO$Br~Hr=wRUO&v}sH+~ka?
zj!%IG%Jc#hg4%fdFwQ;%g*rx}W_v3*<30(mmsy?7KK@5b{8gsM?pD?rcc0!P)jM~b
z4n4VNvU!*`jE%T!cK8@yoI$gp5|C+S|K79tM3lH}FMSb9l1Mqb{YK>u_RXLBoJKF-
zb496F&K#sJv*%?gkRBSc2`Vxd3AC8qc)J{Crznj}SPh|zjeJ!nBtixW^2(=l&dQPq
zXQ-WJmO1+&vjg*_raefRQ9KJO9d~Cb#7heCmy-ApI&kai06egNMJ#;s;(iXBDx*6X
z$pON08r!N=A(PIJMvPFIwL#Q`*f+#a0tOUFBfk|YD=0f&gI(;7PxK}#oF#CB5O-k-
z>Mmln7^a=U;8x56Sa7UBC1Nq8q=<W3FZbKRwj5IoiwmGp8pEQ3f03Bf<S#vj1>IA4
zhap%-;ZPQ5!(+UG@?f(uTt?MONObB9pD)oU4WN*&HU?lzeRJ_GRqd5^L#15H74hP<
zOfUP?x{36FF)iwYwGA`^28&9~{P=?+`RG#Wqlg~Yt0|+~iHw>KT5MnHM?soo2fK)o
z78ix=1ST`PO`=rt`R!baNRg%Cn#HR~H?FzrT=1Pj|E%Kg3W166O)JG>d^uJ_Hmx+u
z15w(zh=I+1>cV*%(m3sR8bm?*2w{0i4s{40b`HVf6Ym31$n_3~QwzG9zLw;bTutw7
zCvY~VwEHt?UOpTAr#ghYiVWeiq+6PA$(6jJ9am~%!F|p)oNoPSOL)B0gMDL)a=c6j
zJ_lK#5|iGb*@8MviswhQYVE69QA!nv^MIa567c^;okWdszim9$!;c7#O(Vw?dF0wW
z*qyNcUMr}M%{dS5-hdF1)o3At@gh$nhH1~Jy;nOS%ZM%n>-s0wl;S+m3&HB{ZdtN!
zDuiv@%Wdf*_sGo-6!V%^9Vq5{&R_2ALlGB>w1XNNrGtN#o#p367m6kpA0II_^<0>A
zr5hAsJ!Tq|bE&Lvof8+nl&I_Hlx~I4<67vB$G*VBO`GtOVm7`I*7`)Ano4;B84o!<
zsl^;}RBAD{X*??RN@t~Ir&XE||GLr!Mc4Y#c2q)nycD<KWdQC-VA)WCw`<@mrU9N~
zh6aVNxZrYvj^nLJ!`<;_Z&GGwq{%-kZ8l_>m7jxdk}E7gG)JXWzBi&Sn5+tj`*3*W
zf{Xk~pqR+|NeF(qJGCpYP!AJOEy1V5-KiaqawsTEfuK+=1D;iul#Z)!rI(lznGvse
zf)rcio|47~G&(5Cm343SMuB|Wb|I8Xor&T}n_WwO6cQ}gl9;5(H(A+2xus)r9J^dK
z33XrAYP8E7*hBU%_zR?m_N=ma66%fUt5CNaP3%&VqDdL9^HTERA|qvu<e_;6B{#lW
z_)m4EJXxdzPXwSkeh4xLxF&cCvKK|Q`(pB?B184W^;B5W9MR-&70Yvft1b~cl}ZFX
z2MW0a44I%qu{;mzE{bL6rR4raMoN*4XD9ug2Byfo1@ag@0~+$}@5x-nOeMZ0U<23N
zOC>q|B8_g~-SG`D64z|v#51oGA0k=ZUcKHzl?CuFI6XTP+e`KxWR}Jz2z_1~h)SsK
zk$vHg;7$rEV3c-JBoXq}OftC+g7IqpQ=p7&wx@efxtrqHPID?Ddzk2~$1hBhsljl9
zP*`s=4Y9-5CH<lHy{gsdwJ;;nLwnXv7G?}}yV1mU8j2=$xKlxi!beN~RtI}ok-@Td
z@-~~?lk8PR8h_9DVOrNf#8-!5+Qgl7dbDvTL%tQo*QuD)q=QO;hv~h_=V2%3Oh<-?
zIjiJG64!ZfMrI^|BD$xM#NSgU`lR8k@wD_UnMp6q#Gyj`7HB3+?ngo7%RHR^5DVp;
zD5Ue~V)|sZMLlFoXMvH%2)=-e2E-B6C#x7h;*%Q);y*&hNL*Du=|K=|>JS&>Jau!}
zT_<st$hIiuo4^2>!Wq9)cMm%QM>=LxI28-|Pob>6!X6oRC}0wDF13%{-hJ#~lTq6D
z+HB@Sw{nCRLJzOX&lfX#K*R>ogPWHydnc}C;Fo;vLhKfqD~!ZE!_BT*u$Ri$Gw5}r
z=?)oBIrI*BEewp_A(Ou>cgXAtwWvAPsmyW*47A3{5bK2Ex5jB-I=C@jm{m~9^%l2W
z+5qz*3yt<=&sE=OxzsO8C12Xk?|t2fBUi2I)o+)EROCj|CzTs*5=aQY@=XyKk76~N
zozen4c%VXTNlAH}C?ekNO^pJKS=3&>%h^l$UcfxTY5&qiAD<7EPNY8GP40MTMEj*l
zPI^Qge*v4GTy^{b!gQ&>F|w7LF0p5qDUAvl$UDCvm-q(kOLu&|H^tyYV5F8;!bE%^
zorppjcp(`xQA_+5_$6Z2XG4(7#jH<bp&qspExLC}Qa(6UTc~t$Knrc$(6|_PMiik}
z(zieSSiIa;@`=m-$y!znFe%b-cl?bIln_Dc9w?C`aB)EjQK!o*GSfq0mPLN}6v>)@
z*P;l~`GWNmA;aS{{umbWpK*FkU>B)P*9gyh_e&P01MdddZH6pH|0A@kUZOCa&9jh@
zGpl6wf196=&px6tX!g@R&Y-D`nHbGkMUWWH8NHZQgBU&i_r!?CVT_46s33h1{zZ&2
z$zKyANWU2#sdr|5DeNwfDlS1oCpr+FU!Ro#aa8Q(ge*s`2iIJ9^LTWLSo+{{>aC{2
z;Z)KO_y|%V`CBkP!r4!N39(Dky;Yal`mv&H@~Q1yo=(kF`UpNWW5oqFywWWuwNZ3u
z?3Lo$&SX{cO-lS$@qezsp-CLK*g~BJg+TPWbxL~Yo`A(4<LVjPznZfRr_C8{2}mbn
z`-dqq;YdT@B|Qfa;v^mGHLFcbJpNLxYWwL<=JE0P+yDI!6P_XHBwbBA>Ru7v=j^u=
z&#a}aMxLzNc2hIpyTRF#EGYzGXeylD#zO3+ObBv1H2AEu<AqT)4e3n7(LK(l3gd`2
z)hUu3@#cT%?6(JsG-<#bkD4xQEvv<3@O0>rOT^(va5NcA_k?&I4g?vkYBHGKDp@#!
z!C>_TCr*6lQok-LV6gg}A1b(kpa~l(&f_DYwuw|o>|qolxK$vVAabBTiXk}nK>w=K
zA>LXAqDQu?5f8*FPVeSKvEjx0JPQ=j9WTUxf`Y0}I`M)abuTtfu(3*`*<N>gR388X
zM0m}G+a%zz(#9t<?Mkf<r(3{mW3U7dxhkdB=z5S<;Aa=&x-x=?U<lp^HjPZQ=qur5
zU?MdtQ;*H9zS3DWsIFP5fk7mg4K$ivwLy{{9*Thn$~M{$)LNz5Fg;$2Y22Q>m=e=c
zN=yfZ5>xzIEJ5SJrZcn+3>c3I=_x-_ufjq-e5s<;myHK2QP<IoG^lYRF&-gQ#s~~&
zTw1uLt&P#r<_bhkB<8T@5U@gUWnz!`EvAATB;M*hI{8>VA4;jmYGyHV8YEb36ER6<
zABJs2HK9oL3?NOJ1kRdPqg~)c#S61d93(xoXO$(dK>b6!5$blMiD@4Mnle^aI+kGQ
zMk^~rz9m5<Bgh~LD+e2a-gde*8uS=Mi*ia1(s6#+WhAZ~Pc6y{k~Lq4CbXk`DR4Uj
zfdjG>Zi4D$0=3f!c9&gBe*_EpFZ5K3LYh`ZCiWW;d}l~c2!ih*sBrg~AsBlcgkb0N
zay1oa$w6u=F1`o^8q`$pfbJ%a+g?nkN~*{3FQTL(e@%>%>J-?sYoJ|<#z|8}Y|>#P
zAFM%W5#egX%jpL1NeAkxH)kbHUTZHAK*~e_Sy{q^8oUO6YjZRrIxFGEKzS=D>91z-
zdib$B{h+S87hu-xtIn;-dQOy0?wCB9tQ0f4I?IM~ibF}A<;*Cnv*t)S`AjI^)XCW8
zIoD)Z)LL_(P=H#i$JvJSpiEl=&Y4kbVTw#el3I(N{E_t=Bo5@l1|`IDtvWknmBod8
zRTgO~L<zBs;8ttitQv45$M>b>Y3`AmUs~oht-Z8FF2ad%8u_78;d*BuioCR>9kg#`
zTor;3$7h;QZcwqH+9YK_@eJ&AR&6rR%qcCTh?zBg*gKub@YSJYo?1>LO@)x+B?K>;
z_S&vh9dq{Exy)HhzFO5Aoh=o{P_S0jh#+A^1FA!n%I|b`+XF!+K8Ssg`Jgsk_6P3Y
z)C#IBr-R<W&S0EKP531e_#@6v_|D`w=nLso=JE@!FEp`%v~c_kh$$1PFWlQM#R;V$
zWlu!E^*bgt<thyiKa<J2it=HgQK~nH?rRW&1b|i%^kV&$QLd~?eHaxjE|y9BGSWkL
z{E|0Wz`+cTLp_sJ8YHvxCpK6```En>wSg_F4qUdm(yS9D;9#lM5b8f?o)o8Z|3GlM
z6aEvT%#G(@395ff`?wACZ>5l)@?&`q7V2S}a=sDMsgjsn>P0Dy=-^flRZ#H;nqHF5
z@DHk2(8q!d(^q1O1UfJHy=xF+TSRnDv<F;@*v&K%$~Q4bgcly>J#1Oy^a4<iQ89Ng
zRA*7lVUkP=27aw6=7<=}hF}t(Pts~sHxrqUONzNSksjK!%93`dV(w(9+l?lsm=kEq
zDCTr5!R~8R%o*~nC{9O$CXx;+0T!zFD&3uID!aa%>5x=*xY#^3N_&&6<EFBEH&iE+
zuAO=$mEGTAA%EV`i;^<l(GXP#*!aWhm)Qke#gIjRAV1Rh7f5H<zYI*~`$I-e)Pq+O
zw7apx)Psnfah}XT8^+It439JX&tM_{NhQ8Hd%<pk&YI22#c&?`ws-Gjh835gnE%uJ
zgdWelSk`?|GvVx+@O_vfuMPua2QEg=If4?&-t(AN&`vm=jFB`PI7IzXx<15wzIHD`
zmwiMMUqhM-S_;nAxu%>8PeGb;F0%^~H)zTUi8(aom`*k2d;XDY%E@0&O}Tqa?Ag}A
zPjX6&SL2_k2T=?5#z%q!?qoV~6={04g~_yc`-$F>zx3W!cjA~U?DBK<8Fg6tqy6pC
zW;Af>2)Y*nzD|92!WF-#@hJHBJkm33pP@ljZ4aZ8q;Z!&&pixv^)falIpv%|hr>4|
z{!?A(s{qw<yY^+lHDvf8>j+V5yFX|daK&73zJt3xO1!<Nb6oltP_ey6;LT(-+FSkK
z)&CR8!ZFABB?`{tldu|cb&#41?`|9@HFz|psXaS8r)Ms6;*=WFo~3I)UJg}{yYizt
zgE*j$&xOi?VdDcW);KvsAI650tKnFW2F9(GCF)3W<psXWIkii^;O(Vzd1=EOTtM}I
zy|B;DWNoEt!1NPL@P*nGD4TV1ByXcY4++`Ei=~(L@x|B}rH(_wYfMK#q=k2AJy)4X
zZ@d&*rUy1~*}2rP0pOOq2r>Z{E`qvTHjBxOW;8g^=pTz$Vy&~uuVJvk8jCN7qRCA7
zK;EG9oyH_{q5fp-iuhQlAs&WO^uUa?6d#YZ7C{M)ft(??f8~>bOo1nog@Z&$WXY*J
zlq56hWGYbkST2z+<V0#{;Q|8{-UzKRD)it{H(_pRkL-lZZXn}SYmhmwgUoJ&qT@qm
z#xbXK6kmq}*5*aNMWD`~vYaDjzUH%ik6d$|VO3E#9<rLaq(^_?qv$4&TP_k;^`nyP
zB)r%QEo70RVlRrni@oWNA7Gv0f}VY%koivrg|A^n@HJ<gfur64A}JA3iSFG{ywq49
zN1%Qu&I%#kTxE2q%?wJ#WOP_dIxmmXd3hvsUg95P392+s$7xU+=WB#!pIHGbT8Mii
z+`~v;L{G_v^y`pras|TESV%|_zy%E!o8c}eSGA)p?NaYs0iMQ;eAsz|D440)C%80i
zlchy6Q)3`lbw(}nG|a;VQTjt2{H*6;99A|dGdcO_t!{(JgqT6+G^oy^H^wBnB}HO^
zi9m~sJ7llJyBpBJhhj`qN7kdY=j009+;eZze|uJ0gb39t?+bOik;t^l0*M)|vW`QW
zR@snmpB&;5$V>8a0>{<s&)Y+~;~jGli!{WX==}wj7Oba_L1bEf=%VBySwOErF|<5X
zSs#HN9JtbhUnkQaj`gCHaj%=5<h-2d)Q<vTgo&K#O>J%xVC!fdK^IJK)|DP61+Amq
zve@AxG9{_w+NiZ=Um7@r%xJnwdT-AvucG)6$ZQh3iCiA*mMHNsWOt*Gts;TK%qr3`
zXj?^weEVywNG1~|-4IqRkeK+EfK{cpm%pk`%|Uc#RXMBVZrxra3(!7&SSwTi<2I=4
z?&M7avoaS3PkGeJ9<lSip9^$_HFsy}alZUrE}3K~;2Avn-N`ufl!v$taSint!n@5_
z+a9X`vZ_mg4$|Q#U*FE{RQ*Orv`>x*c(3-W1|)=nG4LLMbt3ajJ8g3%8Y(XD7o}cF
z^N?x*v%&7z@j9Cz_!-&k9ubH!YbIU#zZ9wQkFgp;8)<N;peT4xIr|~=A@j7RJxKXt
z{57a_+%=Fy^+==O`4Kzv0`w#G3Sj_5UG#M}T}C~tB-|Y!+)44fbbQU0iG(N4t={<s
z6~|Lw0MY}g6#wx${os6H#JhV5&645#MGVKzPH_KYmtK7IP>CS?l<ZLV;uG<10rZ&O
zd+mjPk@qX)Fa6$&?jpRyaKTo16FparITrGg#lY9~n0MY`WDRv?qNQ23QOc!Uw`A+`
zYv1;9?+)>%PMN*+iBgj~^axUHx>e}`?$}19e-;azY*WVxOoVS!DHh{nu^O^XZTq-)
zXE}#pd0}%p6ms2)aB9Kl3#XF26B+leQDg`kNw+j}bi41HOPp;u&CzK~a0JXe62cUD
zbC4bhbrSdPYOPxP=Aj&u3;4Z3Eu9?qj$ME9xOZ0)9GgatDe}m*d9XhV__$V39h-9=
z+`R#j!TVXjmz|xEr9u~ieVzq)Az0nxElbu-g}@5E;@&;t9=Z87R$kNEYb@b@3<$^c
zDC3vTJ`{P4MLVdW(eT15WoP+$@imr-#j8$iy3&h#qA@empqxwHfV%!mT}SG2@TEju
z1*SLwSDs|$(Bll~j>o>hpQ)JelVUbL5GHye&q<5(MKb<eWl{?|<ScOzTQ$a`(O)_8
z-N8u3-SIMSVrFNh$v-Pg*pOjX3i;iY!`v~6RsN(hixWcd%da7i!$LhwM72Cz3BQK?
zYel{*d!s<U0XPs!r8YTu;%1j9=R$(zG7^&%2`4LEsF#ts-euZajdos-J!BUp7m^;@
zv&sTW=yl^JsN0Puc2Ppnqzu;?`R*TzjFdH!hh`q?j;$8{Q(Y+^D$;@L0#F@a0ht5t
zq&^JUi=x^c`R>jlL-oXUPUO4$i!}XpDC80`WP%RG^0zv`vNQ7C&x(wcA{kFl`Xd8O
zk$DT`F+Tk=<nxVVC)Ptq<U75+RF*Rves#xh%b88&WbD%Z43gD-X}=vszMJzWb&l*T
z*uAdVPBRm#v+OjOBvXUo456^z{K$7Dtwwv_rJbgS^w6HQlZCk$>UN`v?KBik>Tq)+
z-yKn8u&kZD&Bo<jizpCJEYkSu@x!#PgNWCJVcNu<bb7RLCquptg4U%BtAk455Tf@g
zpNCD$nT`w(b5_YsB-VLwMrI;`BD$xE#L<+Aj#uQnD}%_Fd8kXUP|k@$x~uaFP)DB*
z_+(A##3wfp#0?>1B#&D^<UtT@>JS&>JavJOTfZ7IJbozr5*G5GLRo)>a<^fJ0wy8n
z60=0O<PW_2*uf^FwC}aqe2+|?eaC}^Pw3&h`T4lD6CyT<9^AZySvzqp1Gjc^7h<=`
zTwx^U+3<vtoMId=JTaZ#CC_*f{vvnD<S)xzGP_1C8u{)m%zP>+@|{5m$m0ZUg%_2p
zJ2Asb`=dUtlnk))Z;tmd^bj30vPecmZ(Pu7X<wKXS#-41GQZJ7tEFyHD*4JJv>uaD
zM=o8{OJF(N9apDG*;TI8C(san`J19JUW(OdHcI0d0dJMFm+}pPd5Y8irCcN46DplZ
z&3qooBWFe1rAbeIL^Z#FO;N6DJ~cy{uqb$M!@hLKXL?f&-Q->=Q*nAa6@~QiGr1>c
z#y!Mum33?kK`$4&s#vIptw)O{UXq)OgrlQk^j{?o-o+s(A!5~5DB;os;<<~7*@!w%
zu__{2^PhhOirLqN43E$FwOGi1#?u=Fvw&@KS%15Czhu!m@TR~J2k$g!SG`hU8k|o+
zLe8v`*}o+}AD?|hW6<oUJDovq$=#-KRuLprb5<{A)gV-V1-c7HHI6uVn1hPdzreqU
zSWW(#7_s^!cn;X9O{R#1cT6YpG<2i`L3)KrkjAmmCpX}BK?^uWJc|o+lz?b>e}-wX
z%hhfl;xCA@e~X64&Ng@RS9*yE8p8KiHg%c@h~59}!oS5rY8NO3BA9P9yhYA7oR(;`
zCDfgkw2otnOgNH7V5iaWUawVcKkLbyKHr5nt{FAhTaJ;?auc5Iew$Bn_S=bP)>2kW
z52!bI8GD<vCHbfngdx&Wh!vFyLC$D+8=W05j3SdK&8^O+3gd`2)hUu3(eM&yzdcZ-
z$pmJX_jF-vSuKWybD&2qL5Cm5(U36R6XGr$2&xNIL&Ef?$s+ryp<Ret_0vwA_|Bz%
zg=C6`m%|Z0>4yq#HfX{|iu3qc*gz*zIWgZNMsQm}HbvxU{|C02=N|3NA@A5OXHFDH
z%J|=KBD>=sde0|6v`@}>cn`60!hQJP;^9H?mQirT4ens2fNbF*`%+?hk`mJ|LWwDU
z0!vWWD(MVu1GC2GLwd@O*3V&~9==pj?%Ph|;qCMibkyqsp?qicJs6&Pyk>SJv!FVQ
z9SJ7MEg3cv)vzMfH-J24QZ6jgYP5@-sH<TXi~Eos+Ox{CSD+pu-Vf?_qlsxD1e!9o
zS2~tp=tkQsL%y)Mc49?_$HUXxPB%w`K7(jersp7C(xu_b@zkdLj%3Z(r3o!5Kh<$9
zs=xt}SKb~(PR!ciY%Juz&{H`IX<8MU(s+2oAw3}oj{OmgJq|*!b9%YDinHV(brlz1
z1Og4}s>7kXu6THuPL);H;$K8rMgE!?W!0%Xn%TH%tWM}eW5s*Zf!gXMlf236-BwZY
zJ`HmxZw@Mdc5AdgDavm5?s?PaSbZGB%sp@VGIxRGY+ngPNPQk{gQ$4l6bLolJX_RT
zUxz{g>aB;JZ8#6iv?bu58TA&X$W$b$x2OgHHvog&fxOrd74Mf?bt+N%9$+)C-@=s<
zPZ8W|&6`yOZsdSy=JgJ9)?ZXaYE7HpVdgchy~8Ad@Ys%Qii)?lvkyhyVbTuTw==F1
z!FQN<n^100wV?VWWkB&)kz}&!la8a}t#BfvI4NeM;^pX44ug(lmbqQKda|?M&SlP8
z^3|@M<7}xghJv-LMg-ZT;te~y?SUW@AH+V$d{Db|us?slR4b^i`wn^oBx9UNO#~)#
z_*KqM_|D`w=nd&q=JE@!H#D(<v~YYgu!f1$8!mLoaYA`W85B_--io{mj{Yz=bHNQb
zzXXFhfL&64vRgE;9b@iAi;L4)d>2v#gbDX146cBjoKcd=?A*Zyt7sveG4B|<oq1B6
z-cND*jZmD%U&j(u5100F8|dMF9MV&+hkF<c^{{O@->7LjjEnbc?_tZDr%yvEqk`@~
zA;F@c!z5+b$Z~8=L6;X7Z_3MRjp}wHb8<;R_cH0BJ!>Zlx@piMH=3A&PM|5HpwqDg
z`>#<!XUNw<NIS7^JB*8`_bT0=Y^uBepEDhj>JAs1r)KH<B<r}T?v4r~G^V;+iG}=m
zLqNznYUk)*Ae~+RGO!=64H-326Rv?0u1jHQG7&rDJeh$ujYA>B;|#xsh5RSAcwD@9
zdiPFdSn+%)=KnC?5En1Y*%`~a1ZpOnJrfrXQ*szPa500$%C%ZSKc*ZyM$)hsS5Akh
zKUvp@n9tWPBIvS@NLmU=Q$b6?**e#lbKxmSW6ouELE;9DIUzB}t0_#U8uJJ7FQPFg
ze>pYg?lG}PT|5vKbWcR>QVaG{cj@-Hc!z*fQrf#mMeoR8dhf;|F5dB{sWB=F#l(BP
zul`<ZOjX(Y$HVK>>ggS6Mqp(M=A|@pKxOD$h@^5}>8KK3FBJ@w_Z;9}W*PQ%!j)$D
za_hIERC3#P{&Gu0;$JUF-qam-bYR*YBrnBxJO!&E&%Dy-X1intNd=S4cOice{mZV_
z9$oXudv+lIp|I$_lreTKz2xX|60LsI;gP#n()G_|mD6e<5*`1oj`INPIEgH5*01je
zg);h2yI;@4oNYK2YP2PjdJj|N#VHMaXN3n)`)0G|Z5Gd|nFz1ZDz~qEMXt&7?wK~H
zSYbXnn><F?N+YR_t;JoJ$un;<VcM=~KHu4IC#G3T+2gKRDjIUOB%f-7FqG9aha$(W
zWxmweWe?=2o4Dl)&`q(vcTd+k`&u>MJ>@m6-93p%7cj#n74)snJ`}loq8-%GXt+<p
zyQh7jb=N74Z@GB)Wa6`FEAcO3M;>>jGml2PJNA=4m1X-6(OmwTNddWf<?~sDP##9n
zSCC3?(dB5Q+Ggh;iS$8jvK4+g-jPTj!N%w|TqNwKx`REc^<3rEVUb9Ggp;{mtwG^s
zGpvzFpM;{}AtE1uQdC8WbTlrJNGG4rNfrzeAUU~PqL8`?bOB#J`T`)kzZwVkWoU^}
zUycyC<BqC~p%O+IX}v_or`F&}T63Tq<3n1R@d{C+Cw?B$LL-lgxiCc@)h8llv}Wz8
zQuBAP5pvxonU%lB6?t@oolZrZ5YOC#NyG=@EOy5SI44t{3S{RPUv!eLBqNUZKe1kG
z*D6D`iy~sguB{UmSX3a{H+zcZBPf;+55;nP7?z+{X=%?5S84fraw#?_Ti?<b(Nl7~
zJ1L}_T&?;hEY!nyc{~AS?b*ZK^qxsWzK%Adfiin(S?WEVgn`9x^n}tfMGj31mQZQ{
z{f8X94pGn>e?X4Kxm#L-H^q;KrX&?*kvGa@HKw}3A-iEl@)fAgatDV=^3hI_Md;1E
zdIz^_23>quh7@&F7in$T88r5tna^(~eYa<ok36B~^A|(iZUnNUp+I2fc2371$oIzE
zIYYiBlmbO?+LT~SBqmUqgp~tsthb%Fi*(25=O7*Dhq*C5mt=LjF@5`}6w;cnhElJ=
ze#Er&<iaM*7#82F<TAWLPN(KXfnUP2J`1CgmxZ1F-1Ng1;OzuSKpWZMq?jbPl)C_p
zQOy|-Hm0c~`<B+8ePq%iypQzXo>g9i@s*I-|HdhP0J6K0$QGeMVrCKQIJ7N7L%u$3
z5z2&PA~u1{B(x+fM7{m|h4{%F#0M_KFEGVqsh4hbOm$CI-Epv?MN9h|G$?&EP#Ug`
zjF8y$gQZFdm=pe8uMC4s(<p6dHbzJAksd`~Yh~Bs{>JdgP}GhVFDWg?EwYT^Xj}NJ
zJ~|vVYyIU`yV7oz2Wl;hGCr_)Nmr#lP+C0H*c>&>!_jb~xwYKd7`6MW(9+_*(g`%?
z`bu)GKo+mI#R@emqki#QOcGhkJ4{hmn4OH>WXRU?pUIRM*D@vrt>sin$%c@AP{*)`
z_ZXyAyBid8p0H<=6ZUYWRv!ypwez8FH@euWrRY**2&b?7rA0={8p$eDm3HZkGsCpu
z_W7tHO|P6lBp=fWlIvh%$;K)lEy<ENqsT}F;b-`-PWLwcYshz7hivDG%Ra~%&l8t@
zXh{ivr_6_cF*6`cB`gTan3)jd(Akh!mdW)U_I$z_W_PUPJAc3Vuh9L*Sta-V{5FqT
znP)RR_j#H=oZwL_a~R7HyWI4laAeQ3ibwX;wE+D?l~$`H{78BGW!36&NA%1L+!0fH
zt-I!JAI<X?Z!X0zD9|S0CQ)iqhf@MOn@*#7-X$<$dRFJYPEWBI{|i<_Zu-;fbRrrr
zDN$*W`WY)-OawJ%214aEDN5!vWXtpjmb$-^KH`ge%pn*o*{J@na|o7e!EZw$m)ygt
z1+TvDBYCBM?wvcPwEHt?UVgCTKh+^TS!4*0lWu9xXzaKC&pO+1UboVgV8_lpZp0K>
znw4(-JBj8wd#YNkT^v_Vm3jC5)L(;g*N^%zIhrTCKIHfP)1f0oE0!5KrpP1L=E44)
zsiYND$L5>|cW*%dnH6qf(oA>Bhd4VSE8krR_Ib|ag<wrWFk88}sSsw#>lNv#?va~s
z^7EPwyveUP`%vU2pLS3~qva-_va|fWc$05p@v0N9uJq!Y@HjIK%DGh5cbO9xzLc1G
z&n!0>vfwX<?s)7A{CS-TKPhJ84+DD~cT0zuTutu;N4I1jw>ZWh*iC97hulVggzYoA
z<{QgSt2A3tsnP~r)cVnOR2pnHhD&j)Q74X0YmIuPxwTZQgMO+N4GoG5w%~GtisPG+
zg1h67c@r|IU&wvt=eKin)O2NM4iNNS`bIWnn3bPrA8Y1c5XxaYnHoa=Bv4Gmyf22}
zmtPUyg@t;UcxriS7k)+f*NWu%ur~^1wcCfGRD2xF4`Cdr`(s+lhakan<%da%bd!}V
zRJB>IU#zFK8db4J=JS$v@+s0odsbOE3BB0+71ZrU6VpyoG%3S%YA2^oQ*meSzBE$S
zNFJJb=uWm;_)m4E>|Ue;^PrGx<C9SxzYMqwxW3r~>Mn|EcO=h)iVW2g*Ex|qR~2b`
z#ROvc=nk;#jO6*&A|s_p#xtY-EDBR(-eS`P8}dzPBu~A)RE{$nQgz1<=CCJR-|Pzf
zJ0z?73Vb_?<oQnTDR-}Hw$off$Q~v-d$)~AGBp^^4+`tekL3A&twt~Ydo}5yJ!>cI
z?;oLVH=5W^L(!xTHz$(kZAAvl+R58&sN#TaH6|^>-9;Mz^7vs|*FVJfgkjpmopgG%
zaVJB*4uWus4Ls?f5;%nDy~^id7v)SxhKD(;<hMEB^5Bf@HU~v?&)b~OQ6@TGkvykQ
zS6PpJ^&=A41N|vjDCa~W+0uFi+@z-WK3P*b@yQJYv1iB_$#eYOp@d5iL|m|`LtKpW
z)CE4rKQv@`d<qZ7LjF@ItCElz8g?jP5^^pvOXT2sqIVxV*kqLUy*8USlF4(@JfVl<
z^Yd|fK*R>ogPWJIi&?H^;1{#*LhR8uR~U(THoQqErx?eZbWEqOzAuJ>(KqSjFa6bb
zOs-ISSXj%VkvvZs5%Dcc<RTS*57vgFW*`5fCH~^}iu${2If^IIQt+apWPTl(Rm9nx
zv9>){fhAvE3d|(rrg-nu)MxBUt!N5e-N>DLfqs?+ek$>6GU<!Dn681Dki|ti{qh?;
zyzjkAluEv^oh#j3Xw#lj2Sx6@NuVJ7qBlif{86li^dp_Vag5w~hqITmmdHH4Y5!6#
z5hqaTL~7w(q>f7mqjpYevLh<^_pqtSRly%XJ(+_+=!8Y=d=UH69e>xGT5uZh3DM-A
zhHt0SP)O(Q>39C|5Y%$P>StJ}hpj=2wq25qCt0-4--n=th)&Ny2~SZPQRgW-Jxa3X
z->w9T((`8c?yPtMV5gy-v5^0ar?&)VA=(sB<2By>lEvr1+W<qf&iet)>a_{e(ky}w
z<;*IX{eANDalskU7&QCo?q<+Ua%WDQRRjsnoXv|_H3-hjp}X#AotT4)&S&Fa#GMoQ
zYhpy_HQaH1NB{&)(n`%Nk3}Oh5J^LYZ^?arVX=9&)+<rxwhDUCg!!@y*lvTsx+wd%
zpa&)4N?!H?G)Ib~z|T6$H}$l0g+QoDXt$U)z8eaGkmeiH^IB&cPJ1-k5^7QPn4Xv-
zQ;}pBSS0Adr?l$qr#^WP$dBVme8q;C2i;0=t2J*nS92rB*IexZ_sGrWYI#j-=4ygc
zVJ1yM5B{IC4@Jz?Xb0_^7(d*h_3b-NC^wk4p}AVhfa1%r(|Ax-&DA;%dhntX8S)7=
zj1;p$4{|IgpC@?Hmbu*()!dotid1RXxy)Hh+3O;p7sC^&h0c}=V<_v2stAJY?x>bI
zyX}D>6CXs>$$U_oF1wZRaTC=WSP;gEG~Mr=?(Br`OzO9E%pf_0?NSQN<rmy4)5HeS
z!f_2IWg_)K3v4nRx5s46iKtaJG78C6s}zk`!0vC078e3ZycMaTJKpR~6kO>ti31+A
z*<fM2PQ$J`gBdV%JM*MCy`19o??Z7KzZ*+XFD+>ww}BPrbs;_FT7qk_P!Fei6i%~_
zS|t2#hXD_6_a3%<_tu0`stSSG!+Zh~ES8s;r0f`3Zmk-Kr1CV1Z-$6r-_UAQcYc|R
zqhg1-RJn)r(4JKmZUS{J@%>P@8%<2pBG8nvA=9x0LpQoqG34700v_nSO7|v%Hizhv
zZpoProH=$WkBiMymo!GQ=4%o?b;d74bu#JNsYlWv{uvAT^M-&}1k|d+zkuM%iGLZ`
z59iGa7&V#9ouNdI0+CN9VrQHuGf*wu7cxA~@DIX5{*zif;K3WbdnYrj_z^&>zx}cy
z;6awNGnRD>nOi&x^lHykF-2Y-W-;7wo;q7AXkS*HjFB|##g)?`>XyCw5cB!kDuOQi
zh$Oy-G!?WIoUL;mITxOSbmUxS7bI@bkrNVg7?)r=)sVjz21YgH<gba*kgo=BbmO8N
zKeDKD96F#z7YH&ZIaEJW;dr=XA@Z~f0}L!F9arCa9=IwxT5<>^J&~VEIzcxE^0(mm
z#8T^4=Sp+yzCR|)Zuh!x11d8Cf9G3pOO@7XykBQNS@S)URmip8;<q{lUlV8y(0G3t
z3c;bmSL6Mlvkj-Fhqh$W^k9n2-X)Fq+<{tuJ0(wofnGEFH(h}KyH>NETPpm2{2#;r
z+=OPk#_@S)zny4iEoF~BfO*3XIeoT@`*Ffhu*T7Zpeaj)Q5*iLQu_jD$BUx~xS-b3
z{?3-<LtqdQkvCEynmiMV!1WZ<nq-_%t#EeR13{V)V7{uMt6IxyxMINTh|iNnV5cyC
zb%ECr>7EeZg^MA39g#k<u<!#C6hI}K^PD*Goyu|0%AO4!ah+orD!5kGgpCyE@eP2X
ziPXyOZrb)hzC`mpHa$ckdn038xeD36PTdqWH#ckW$Xt3U4HAZURPM+jrZoPaIGu3K
z<vpv|XS8M8-qormd^3mU?_h&f)T$ppD=G~%z#De0RazhQS4QC-f4d6*gOA8kuk3Vl
zS?UJ&KyX31wW}V1FG_gQzdkCpMxy@OU=4oP21)T2x}#*mM=9D;Yqd+8YtTr&w7$`<
zb`dWCX?@(Vx`ciwNt)a+Pv!h-GIcqnxc5<tdv7Sk#aChps&r0ga2qI{Zwl!t*Fk&)
z3yGDD@}X1d%v`m$!1NxZHRA2`1o(qFj7YthBAM}1gzjt9PsII#_h{tf_{C7ls7t;R
z5-hr8Op;|%!ycpQl5y;uxJ|O?gIbODeGpIXOqcu}(nEVzS>g!QCI2hb?M4$*%m_4P
zbjdoFY`SDazJ*Q_5i2fn=L7Dq*PZT*HjVHdIY^Z>C%6(kH7D1Ttoa(@8Pvv`lM4SS
zMof;=v%6ICvr_<e_CL`VX?HvW3-xeTqc2-_cTB`ZaUmD)g=OfeUc1JoN!@XGNLO%o
z<sFy}U78PtU2=|uYV5ris+9&1>$pzyO0ox0oc9LlthiVsSfW8^^$X}n;?P-PI@MXd
z0meynR^%_I&dN#4F?+AY<1<0`MASgFU@vt)Y!A|TCHVTJy*o|xj{K$fE)CL|w$NK$
zmCPGqHlIs5Bais%OVhY0F;=M_0Oyti&m))mUDfXDRLW|rOJIwf;-Z&iMyoN}?2pE(
zOMrB$J0^4cN1M&4-Y&E6Ym=S$m!Voc8e5ypf-R>FF0Wf-$*u#9{?T@AsMQCqjq2^F
zJ}{QdII}V|8nwo*9%FB+c3GRu-VoKJW~JR|LiyRCwTr;F_V5V&m_wT>L){zUXBYc9
z+8lykJGUGC<@J^RjhG6}O^1Fpw~i&d4K^C>dZQgliEDODc5X%eZSb92-ZI!|4v)c?
zx#$LbqzoQ+hoNW-s_dp;qM?X<DWmvRCaz7P%g`b#fWA)2hn<?yNTb;<4@H}zp|Len
zlCElHNc^0h><UsG;0ip2kG6QG>B;ngX#MC0sBiA(O0y2Qf*j4LG7Mj4x0{vz2nRKG
zc`~<F9~o_zqk4a10CJ5bvq#&5OOIIEs=?n2)x>htY&M$ZDhPw{4iE5*U4<Po*`+bs
zR%@9~Y8gv<v=pt1_)?(FWG<~Y?E^2pP)*PZC-ZO&EkINiP&5Q%8cTK_s?;}(RyIU{
z@d5ZfC901lyEmi$MsuJ%5RCwRKr=OhSnhlhFj5;RgDdyJ+7{5sCUYyJ?M6BMluW4s
zQSCf1Iy_Pqga?QvAHa83)T~#AaO!p;UjV!H7EXWqX`~g64m8SJhLNP^MO#K1t*9)Q
zBvjJhE^n%}YLrBG;a=ZiAn0En3eMyUqPis62?o=GB~U?;4AORH*~)08-5NV@EZGzP
zf<{_V6Z60f6Cd(0<zQjES^NYN-4$0AP)>aV5aLj6xYiy!X@|%EFg=+&5{;ArEfK87
zeoBk@Wj(}lDdX};O4W9Iq_uL{vdx<}_l<0AR~z-dMsvfmfoRh*$k|#pmh6EgNLQdl
zxgCMWdsus8U@sqyEPc)E4h784Z4UNp&ES``nT5QWcB26cy%x0xNi)^<@DMaHyIoli
zt7xEI9a}Ri=>eJ?E{o+Ux?gUMAcb6!%xi6}w<}x9)!K&Y5d07HJ8h_eq`y;ZxB?69
z!ckb)EkM-n<Tw3U9%}Sg7;1a^s})#6F!6M~0hS30q4dVl5olsAFr{{_4fv;g;0mCg
zMt`k72sFSM!*0kbTBGaLeDk8=^$=;N)!qtiRU^10xFXr3A6zJJEJxsVeyCg-7=T#9
z$QdqArbhKm5RY?xGK;bZSd&0rwfaB}2)<ozSDG6j=r9t)uFw#WOB*;PkitMT*c!V8
zn3(bv0~L_ZP}`vRfg$B;1LXTm{7C<f&&ECFOaQH9Hhw0N3!qMtu(nlQbO}WF!F1SN
zR#j&wGiYa0mOLF~B9u|~g^blj@W(2m?NIbJ(`&8a#=zL+C{f&tb@e3IZ{P1#;o<<b
zCNxqs97E2l4#w|AUt`xGxM&K1OA)M?2H<D}tr-BeAZS6H)p!en1#<xOAecTEKo^21
z5Ilw8{qq2P0Krdo1MnDv<K_ccji7ID0Lu}~=>{+l!QBf1d;`JMeF4lu&|CyyGlKG~
z0Sq8m^%?-jA^7e70RDjB&;tRiK=9+&0{AI{cnN?8g0q$ZcsqhaUk6|Xg8w)ez^@T3
zITXOb2;Oo8fHM)4Rsh%^!L<lJh~U5@0rVl*^JoCw2p%{F!1oZ$Js!aB2o7Ei;BW*x
zya~W`1n+w@fNK$4x(2|z5&RLsiwHh`3V_=Y{N_{u&mu_H0k{gm)-wRS1HqYR0yq~z
z*V_Q>f?(}A08U46;rReIAvm@S;Ef2re*u6WA-KCAz<me~9{_M9f~O+@&micl0$7fq
zG7Ml4!RzV(4nuHn1Hd;C+};FmCxZQ301iU%lQw|I5bU!Vz<vl$-U8q)2!6H|z%LMd
z=VAc=ir|(@0DKC;+b;!BL2$!60elR>gMSC$2M8{B7k~)CDgO(=Is~u19KbRJKf40J
zFAywF033i|{xtv=BDnSa0B%F@{(l1S0R*k<0Bk{Uzy|>=L9p?903!(Y`v`zu1b5yD
z;EM=u{1||n5nTGu0N#aQ`7HpBK(P7a04_$b{8RW1LFv-~UW4Ez1XDf(;4^ms_!k6!
z_#A*gAsDy|Kn=lLz6jt<1btruupGe?Uk30Lg8lCXa1erB?gj8F1b_YpfF17x@CbsR
zA^3-H0(c*ShrSKq-w-_f9RNQ;aL0E6+=bx7-ve+Hf`cCda5#b|zYpMP1P4A0pbx>L
zj{^8Pg5jS6Xd*c0=K#tGUjI0NRS16h1c2WnSoS1<LlMmS4S=}_E<~^i!TG-f(2wBA
z-vc-n!86YScn-nxKLR)c!PlM#a6f_rUjWdDV9yr;bR&2c!3zj(ehI)Q5nyCm61|pq
zZYADt$?I|AK!Df{lP3m5S5370qsh+l#!GgMo%?Gbn&P$tI|==Q@)gfVw<q}v%?Fzn
zY}CW+8$)6*Cs|*meH6K8D>csMt&&2!DfNS>+-#$4zK32HOW7gm0_m^6F^aO?STd)-
zF*F1lDvSY605jjfzF!U7-Mh!uf&4OpPF5ivPpbujCpOp%JKo&Z))t66{Bw5a69@KW
z<?32AG*H4f4<!&#TSOxZf-}4sUk~!^Mo6hgN0vtGAUQ%mK$$xV5<LjAscyZKDpWPa
zGq};h>6;&?ooWhV!1XIA;XL3?7e|+AC?^08&pK}1+7s8l2_-K)(XH8A90KEq4&4DG
z7ROIxKf2=$@RN3jq`>~V7w9g335nca1`{Mwbk08`MHEF7p+9jCVNF*NF$cUThaqAX
zl<-2t)Px~o`Wx4+I~7QXAA!jjIZ_rm(NM}m!;!~>$hxsa#Mh!^)lnTPIu8g&=c|3u
zIfbD!o(?5A_7<y1b>R}9ML8*|lhwsEah+75BJ%iPL>|)-BBizY+2fV9c_RE|YZFtp
z;o3Ye7zgM0;()KscoCFHX$S|%NlRXsSsYBZg}Egdm!rP8%v+dw^fb8^=GDQ7d~ZjH
zlosZ*=O_#F3i!zuCZ=q|g?U>r4nE<F1Ixn10h$(O76+4UVSYOpm-qYPGH+q#(bMEw
znExJ($j3WE<X-8v@q?<eFl+FWElf;-g}ES4_OME;Ot7$~t5U<u!8rJ{FAgjV69>o_
z=0ZvQ%Hp6q4+kBIp$tzQ)uG~YZ-_P$b~2a`CA>}s#)aAAPfwF;VICHY$U{0p<bo8D
z2VA8r%&)vxEKE#+g*iWuC_9np$Nf-nS}-P0=?Igc(Py`_@m}{Rn7sXK0+W~mn4AR{
v`N?kLT8wK%h-PMv_)IP@=G5x_L!$$58`ao=_ZD3Pcyq@txp2viuJ8MA3Leyp

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.profiler_utils.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.profiler_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..6ae3859036b53945ece19c647a7d98c510402d78
GIT binary patch
literal 221850
zcmeEv37lO;l{X=KhY-RNmNsw!fllajNI<|K2n528$l@@D*t~S#&U-iA?=^2BiGqSV
z%yUMi6;WJpK}AJGopIbg9Cc8}Wk!FF`#L)6xQ%|}_>JS}ch0HhR@JSlTle;RA^rV6
ze>3Fut@ZrRsZ*!UIk)a@3tu&`-@N_sf87<W>1wUMd!#ZxUT=)Yt(oqU@y1wZDz3L@
z?wVP1`^>E~L*1p#%C1(U(;SOuy8A(mv1)B{ycySLw#{@8#Om$ZWNU=CU)+kv+O<Yq
zHm@$ME~+lxHZxRR+FjVLwI^exsC(d5&BjD+GHyoKVJ|aS6DlsaHr|ah$dtcmhUNsF
z9@1SjU4dD&XR0f^OGo9jtMj{y_-wE2E|{#<<C!Zv+bi9HO1s^xZSS;!N~CIjZM=mP
zEFPPzv|8{GelM(7rr56~<DKdBkL{JQoy~Xx>vXz{+m#(yG*ews9jqQueL{79b#*sh
ze_bnXw$|@#)#J+c^<x`Gr<;uguxPD++BKuic)HPAe?g^P5%jKy3Afg>iLM`q0;o<v
zjEEmC`D>IR+-w1@M_;yoXM1(O?!sDqJl?H9$xyBy1GH6-1rU#i|33l#|0MYTHAp8w
z)vOV9L)`__m0EMAyKbs6-kFTgih?FE(;a5@*M(KDF1oTkQ|VMsuC7yndTmjlCgMuF
z(~L*AH!JnAs)p5iiIx1tv6|kq2>}L*>pP;xL?D5H?mR$uX?H1zR%J)CGF?>=?jF0j
zQEyjj^;R^|sgsn$uSPSHvlwCWyDFq+D#@Dxo%5I&U0FREh1JPL1oNpNZTmWig5Ln<
z2-6}$4LC{D1$0ph7ze7Ndr31M>oi-no8!^(+E{zEGY!HQ53PxYYW0YTV;FPS%yiER
zlG_pMh%;7cX8eNXxB!&rm?A4e=j{g?5=ur}HP9I-#!8*;>DG~k#y3Ss>Ttwp9p!(o
ziPoJ%1tercFz5l)HR^6uM?zm$7j{n!BUDIhX!TTN7XgDO-6A{GT?PcNn+ElaGwUwL
ziISeBzhg}?E!{mexv4c>!R=)UGyyewb3B8Rp1>#*T)#fF@2U-#z~E8_E-fW4nJhZY
z%6q{PN2$($+kFgJf(&5jFTn|9fv?_Dy%kY@UW#({xukz!(g)L|Q43DR?YKEvgS|%)
zu)`fPDn*k?y=<?xUCi6cx+ERALPkxH=8X$L;FnJP8{Ncr=hbH_s)!+#uLmmcA$}Z6
zq~UPWsKq-K!(8dk+ayQbWQ_WdZ`A4Rs1Nc{S9Rw_MpyT!T~*&8v?OQ}So>@Ou)?R~
z`Z#F9(cNHvC?N99eig5+L-Sd+XZKzLc3nI%-k5?7ZKk{b^d2w~;6Z!OG_1pgv{+}T
zO1skB5w~afP_Q-b*~IkjO!tH!J%h`7&nDL6mB@=n0hLc?wz&sfJd2%sh7jSqp~Jg?
zxv!BZ9;oY1E^8^uOGLR~b^1UD^H&})?KA!vOys?CA|7G-A5YgG$$){Pgk4)i>1S$3
zc2W9_n2=9$l0)EFp!O9eJk_tJl2iS9j?7fQZIOm#1q>W05P(6jK;&0^1)$2em{j?(
zeYF|GeqC=Vt4>{;VSt|VcmcY}2B>lz;43FN6DMdwpuo1Rf(HpWErGtA=?>tg(%6p2
zni+i)UsO;fRKH$b)Lk;snVck@Uwr}Uh4JcYWWr_hU`7>`L(<ob8)IO4tEW<7PYzYj
z6{6ie_iAA)a?`05)#Fw>9w)O24y6@50F6Y~p$&-#gYjrrtzDINmNegI-;q=zNsSOr
zb_7cTB7rvkT(o$Qb;&p<6}Y#wJ1|j;C&xz(145X`;1Zy6Ws#*tys2pv3|u9w67DWo
z)m0x!<e{U%<oQKlPi|wpx)uLnq6k_kC1QJHd{1VkP`qqA$Z_0u6S)-0AFZ|HsciF9
zeAkXg>(-H|M!TxDv1$a{Zi@@2A*p;ngVV(%^xCXUj>1v5QQx6--*p>L$=iZa=`KUR
z$8<bao2ZS=yj0!&lN+HILzyRUVF<nv{-M2UVf2IB?lMfD1WVOz2KKZQ(CW!2TQWDa
z0f>M(nxfqd9|>D|gUP)#d-vuC^^(^zLhq)k$?M=Bp@#SloAUKoVQWbCwi}$STmvz7
zCT~@G>81t=`NUQ!4<rgC;$Om<kP|A;dyu>zs=hS&0Q{GjmwXU@p+zRx_67Lc%{DAm
z2LiSoMr_NFBPZyp0BkXP%V*0!(CiAZ#oJ}_DkNtxd1XMaFK1OzFZiqvMDjVT>Tar<
z+yejTaxs+Lt~~25zM5MZoXPTU2_f-#V1FHYKL}inEyhMtjU}&8#?8p+0Zc~OPAP0+
z{h^#uSAPx|4i=dnY;J?e5zr!I@G15QLdj7_G76#YXZy_n157|{Qq|RL)%Y82r$)>u
zVUWVvUT-qQ&QM^}FxQ}IAn}t{av_k@T?|GPowSlI_$QsvmA@C)8_d0X2jEa0rA3FX
zW<J+)KDFxB?wOaxdoDmlJ4C0k2wZ4ECphq(h539(_yAsS*^S1EsK(+!cd=|w5d#QN
z&|$q&uQ%G6bNV7igpgM8r<7A#IWgd?DlPZQ5hn2%wirxCWy9{9_hH|Y1dO~*J0+5#
zK0U5?LaXcGwk1Zkt!JpZtGZh|CW!MoIQA5LlNNSE^S@2ZKdIm|3<j-Ag+d?v`8k7k
zt1q(-4*o9d;OTNso(WyEgHQ5ISoz6T_>b0CG73*Z-5+??Nh;V65``-o4mzA@GMI1R
zlytTyV^B?Cz?8Ilz&Yvs3Ph?lMa-G9>Bg}J*qtm8F)|)cR63Jw+>meN<{?1G8>GIc
z^bx>tj{#v-o@%>cV}S9ym|LKV>6yG0`(?~K+%d;=Mzl=dVa!BdrVy|q2N+ke(|gu2
zZ<59n+%oRRZU&P#!#}>=rMrk+Ut{4OEX7xrydQc`Js#3mhL&=?dwQ}qR%_4PK^1mY
zn)R7Gn8EcbXhjAWNrC1iabkqB@+cey=Y|3zSw@jEw?@+!3#Z%UQK-j``pK*DCp+z*
zD`dZW+{N+aG=znjj>jllt1>k`8IRWLqhr-heP>Ia)<ddF)sg%ojt1r@A5`qAy1-dx
zJeQbYMf5G_O-?p;wW6Kzo>tVZR@xDS&!eeY3qx%Y*znuqvBp#kMR9a<WwH~q;3n0C
zHX{RDnvJPV1J!nWy0vNj`dzzrjf^*^Dq|3uYmPw6^&3ywaOV0`HmsklJbTZ&iCU`~
zH`ncfU|nlntJ;~EfKdF7b-+jr3ysxU@w#S=jwEo)tRvP!@p`Gaw)AGQsg~*Xsz;EW
zZyT}$S`hU^4B;*aVku#gZT$xe_QyVtB9{&+>Yo_2yVngV*-o=Ill&XBLGApn*p|T;
zq9VS9)sMbxJ~UATx>P(FY~ORnCgVyI1IIxoudrkzh<{ZZ<6r@wTBzL!4X4||k_@4A
zsvc8#Be(2WM=)=Q{$AOr$0Jd6bv)I$IgTomlM(uqV4cFsj4ogbai}VdDBPNWW?>-n
zzjS^cJfA6FF(sX!Lsg#@b)an9eaF6UA`6a?q4`R=(d<98h5_WtoDoJVgbI?B;v_=i
zv9ILGip|zNCWJ?+oyBZCSj4&QbhfRR(Az9;b^9XK#1EhDNKLX1I@G*-Xs;;VJ!!i_
z@GdzSD*Nm!ag<`w1uJTbwY?O2>!r0#Qze7DyIfmDlvIGWH{%`IE6X^LR@>VdctmZ+
zd;*E+Kz8f$3@l=rME46MmjcYmR+vO`8UDHfe_bwrT>-yT9{|%JvvmWUJ=U1sGYd_)
zv7jb|(Pp6tPn0}lvj#m_iCR_AevMrbQiAzi7Uj19%Y^P@f9Pwd!&zTO_1z@fcHcf1
zR3AYx8_kyzoV);O&uYFyom{b~J9}lFKd+P+_ejUR96AivaeoPw3+Ol-K8lW;gx>n3
z;|@^Qhg5NlNu=WH9LLfsPILe&PVzpbjRlA)fyATYJ`R&$D(-*bFH&*zt3N9467CKe
zov4hp8_hjMtv;D742Iv?#nhcKvQzVQFD;&-Dy&lB?GfZbUN9z`dCbYfg_LBbhklyW
zWCVvR`H|9|nI9+fTwkkS=Q37CmwrXI?LIsQbZG`4gg!N!lP>}}eOl^HCZeMV4Vxb$
zl$1b`e2JrKU-joo`*-6OzCzH)!f9jY|7Z;MSV*4Oz9$+T<$i+E(V;cc@lvL#6r1F?
zIKjc>fAe|TB}cVnkw|nM{ZmThze^%h2AG-eimfIvkx030wWV_X+sw6r1wxlC!(XJ!
z=$Av6@fqU^Eqi)B507{|!E-YUv+eX^dQ6PyR$%X%1FJQqB2PmeBQ&IFGDKdmv++PT
z9Ia=kMD=vNL{t<;X8J%%Ir&UZ04Z_Dp!{d-V`ba!9E3YPW-r&kB*cc4e9eKhn3tuw
znhU8+fXx5W5q^q9$!aQE6E%}Fp%E;}{kkh<MsNdM&K0m1R43lNv&GQxOCR=f@37r@
zjZ8*xaw#?$6k{*#E~?e(9VNwUxBw+ijLH7chu!8M7V@dt7S3?fGD*9Kv^vw%jb?ka
zHC1W0Z|XGgeJDI)CR^2+>E@lPg@ro=a&D8;pa~$DrrpkC9^B+ID3Ci0e+W(v_@z^_
z%S%b}XHcw7ALq#tY|+?mwV$15K27N2Nf%slD$WkoM%pqNq$y!eWN$))inHP%Qvpe1
zo=t>|`J-`86fCjC3YA>Qi#Ipny(w@KLJH)rH2-lA%Xq|{gn11qeQf(ARIHB+w|^^c
zV?2PwM{f4L>rje7@&+UZ@~t>c;U>UpY{BfDdn6!kSx`&>fghLv7WRgnW!?`%va`$w
z@E7g>^vkvXv+2%e|9=YP0?uOV-%xDp$9#Y7eJ90p-MxPf?D|AN-iCjySZ|0etcYP@
z{<^pP`P4Bx5z%ic%e2vdfy<&@ko_C|W3ufWLpa^z54C~FxASz5m=Cqs?v`%x>9bW`
z`mN*oBZ*Cc?fv`ENIjUD=K^(u_%_v5HZn*$r#+NJfs>F<cQG#&o3#8}pZ5Qhnf8Ct
zRE!<eZGtRY$o2!f$a!~AKGF>^pxmo-ZI2`U<5i(EZO6_xIM_7OEw&J!iW(dn{nPgu
z93#-Qm^|gvga${t@RM($z!(O{rwGx$7#zzK1t@I|HV3jb9>wVd*czKz5^I_{KyO9E
zGLLE#m~If&T9|5xi3OORL@#21wv8uS@PMr|X=e1KFS!hpKSzEKCV%E-yK3HosX$JK
zzb94@4A=6;KISVHhCmH03=2QQEQ~q~$t;Wp{vr#5ez`0RHr?4+80SzZc@{QC!T2~0
z=d?1Ip7%L4&lkcg=FQ?laeLilZD$;@x0LYJ{F`g|1|=B6H`l-tZq%a-P6BbnxH;GB
zsq=GT`WQ|t{4Xg?w8g*FD@pz>{)MvboQRimFvyHbH~B*G@|5D_)kr+{rN_(HL)54+
z&ny9@4T1gq;I?}N_jSg;O)|%7V<@@lff4n$K!?H6ru(3>Prn!ubsMhfZj(F@dh3%5
zT1M2FbfCIK$1~$Dsmt3rkaowjE6YMrprQlWt#$$rQ=tC@lVA$;OZbZvDE)FMP_A#v
zx@XUZU2Zn6*@6*u9Bme=^IV}i`K$|RPBu0ifmB!M0{Im5Ci_EQT|eVOVK-C#YV*gk
z?VO0UGbm=GHB*9<|3cccT5}{&+rdtkaz-Y1%cP@I0=prlNge52U9yN7h<2{3W>uih
zTm&5k>&yjExq!~Jp{nT29{|#Q(wQ<sPY?=~$yiG&^M_o*ORG%L0jNwVF)3|fD)Tge
zlc~%n;V)8|^s7HA^C{Df=~-Bt1wC3Ym{VcS34aR_KuYCCaad=|cu0AD>gkuU_q#?A
z+nrm7$G1`1=*`1XlckLEH+dnb3!+FaUv|p@oz2D?O}Kq$x<NONsNP>y)6b`ga1R*%
z)-}S@Ky=E6x-OG#=NLy)<9Nx?&f#b)z|M~rsn=`XPT?$qUpi*nCEa<Jr|PnL7PO-1
z6}vvCF-_;{Ni}jcA7;WvmGem64#}$g)g1Fqo#f_H6KT>!+|GAlx=v&7g9)3ruAJ1J
zLePk=kyIj*ZP+@y5uP<$*|r=dX4R+8+Pi`g4cs7K0UZW!kbec03v7@!v{ODM7ea4+
z+90JP3Kfdj9~sAKf4rE(Xx|^t6$-I?$tBX?1TTz&7phYq2d_T*pO~Hl#Ro2_9q`IZ
zeK=}>L#nw8-b9H&ZC==HLjDU@tiTg_?^F+al#-Er2+0{t{+d&jZ#^L-nE7%MwqRke
z_e)6JD^EF72?U`Nxsp=eh8YN-has7P@CE!u1_J$Z7zlj2vvEqD3j%=$%~==<PbwDr
z;sd&kg$L$9_)8LzXE3Z(3<idC#wWH|cE&b+`L~p3@{9e1%cEVG{Rg}s%C_CPhi<z0
z7xIjyG$;Rw<Rhoj1(|#Yp7lxDt}u8m6)u|xDctXKj#w40`bP4p;$0-j9^j^AC1Sx;
zN*`Dg;Z3tqr3L=ijqBPSc!N{A`b)KyQkNXKn6&5t_)pOFCqj#UkMJfsm-5D7NTs{T
z4OhXGVZ!isWV&nAqsuSZ^0a6OE(>n2tHJIu0d?Bz8lCo<sL>pUS0D$j#+{?3Y$g*j
z<bfMYJT=|kBZ=?tASp^uU??3`7A1W9E=4JoP~0+9vrXA+gz&&#V-fAJy=DW<m+dth
z@fYni^vku^Fs9CCuh|TKXdaE4#ddRMvF#=u)4k)oXAbN*Djj*7&X7<*X`{gOi-EL-
zI8CXKq}0=nbh%gL{X5ddvTb)xqMvR`eap!hlMq=?t@f15QD_u!BB^3>;Z~~K>zs_|
zl$rJ}no4j^#vR@<yg3<sq+&T4cl*aHk(0ru;nw!zkZ$Eu(VUEj{L}a4WW1Xg<30gp
z=b29vIv&#XpF9(1XIN+F!?QkFX9s7MqcqUiRLF3-kYko>pl!aS4i{>-$=^qpT|yij
zFL$6z@mcPLlBI#C=1iuBv{`!6msHZpSCNLn<SU#M`^mwuG3Xe40k+_8xkwxo1Fk1I
zB-}~XlfF`#f5d41m$EdYIrb$<vs;)Ib4-W|m}3@M4l~Do4?{9@?7#6BnPc?JWsWfx
z&Bh#iD!Y+x7N*!~#Y{0ap4$w2=NvG@1Pys6*hNCiaFDlNI2>(TyLO9u%fxl`rG@AM
zmM4yhTkF9^(5zsx_=OZZ*upe}8Xj0AX26^U;!n8%$TB-@iSNkfx6D?`w%s|$kkl$0
z7}|Q_w&4g7XAYO-CODKzKjwTWH5~Wdc^3+k7k=q@4ogg|rkIktqV9)7&?>+dOSs?u
ziBw%N$L7QA#gyo`KB;p{O^S`;)@y<Q+@w=cNRG$BQ0VpKqLcY$9KoV&i3SwvLx<q{
zU<d-e|IdI9gT4RPLgf(t@=H2wXr_EfmO*cQGI<Wvm60@e7*omIIglf1HFuPq|C<m1
zxDcH!^c|5pTyX_{sVaG&Ms~6k9d--HFuG>o_R9udr^nJ&(eSx&Q*^=Bo!g?bqYL4m
z0b6gA@GU6xX65!b9NnyUdGo*}^(d}k)B#?tZNW>0?J7(a{%->A@oVg&S8X??li30@
z<FnZUvk`0U|7jZK0!nU0mJcS+;hYb*4wqvKW*zR9V&gs{D3+3tGO(1SLP?iEn5Fbe
z7?N2^ci}Ixl<1esQexAcm8C=m{cO_D3R+5RJg23^bLl*J3QrL$Ud|j-(CT?fyJB1;
z`D~H$9MaFkpHh^_=6E+31-l&iZH{-ywsXSf5O9zYnA#kL!V@XU$%m2p?A|(5h+meC
zb!|=ulyt^v(Ruk<$&WmHCvabV6gmvvS3eDv3+$^lBvYl5yajse_rA(O#P|p1>N1AX
zzWO$fq<vov$ki1c$ZkQArPPI~%-_N!n9BT5{6#90emPVoW4b<y;U*B5bBUXEVS4hC
zVZ9;0wwr(ONV`y$-OV+BshHgY{6({)U*_z3a6k8j?4nHNl2bhXf?ZPZLw9F{oqRK+
z=_*}(+cICD|5>Idx@2*5GOq7vS2uwf1YfhGTU+5XU(b%|0Ub3jitFr!`>ptejIB@)
zPDSj(h4born8`C#-OIOHuLeH5BZ~f8t&fy#yYJqI{RJ6*@e71*lSj~%mMZK_Zz<8$
z^RUFgrk?#<ZHixVGInF^VaK9id&P>ZWc6l=gUlwpM*24AGNpzvvbASAdFOk{tJ(t}
z=RhL}GKYK@EV;@*fc4X02_GQ)bucPX#aa14*nC)UjN)u=IF;#?PxvRM_!+|XUHAqs
zjIVCI_OF9&C-4jt-iNcU;?=!D_zy5}v5E0S=0<i`7%D0wDFbN*At>r29j!b3XxZog
zA~vTWIl0?EfL%`b02VpHlHSP4dyJk8&h<@B-bvsYqxo<yA}9HE(I;ioU%F4~n6N!B
zyC9d!hKBp^pL-3rGE)BH{1Sn#YPPLnZOq$h%=D-Jnc5|m50C`}KJE=)CDj+*@BAYa
z7d<veZ($f1&{vuvu?1nUDC#5p0~ALgP*G=PL3*v`Z8JD^vVV?V5K{HH|8OLv4S(vw
z@Z?zxVG%dFmPsGsBL4^hKzHZEo65$AR%xITBIgBTtADCqyt81;2lL!OyXGGt01M;e
zp)^Jb7(mp-8xE$>-Qu644}@I(&%dQ<-2&3a$)TX3dU@a%-<BCcJ<Lz|%ygy`{wl5z
zttWgnlk+%!VHCIfAyK|Q9`A;HMmT<&AKVD2D%VMJFJeBJyw(rBA|6NuegJc>9iRyB
zyE&O!M(O9TMMr-#9`B3+pm-0)Sfka(6pU)+X8!e!F@9ecUh2<~A0F7=flBpBy5X9>
z!?6oL+W}qG<9IwCAAx{EtzD~3Mw=Vsaa0?RD-^8VTOa9|-rHoQ8mGJW#|9aGry;}1
zkKulHd1UVMcR09C>+>jb-ICY*VS`}9Qc)Id`n8V_KpPCI@UML!W~NV2J(2O%p1cEx
zVqg16*HE%c`L+Vg2tEJ#A5~O82g^}YAL%51KA1!#iho-1F>JJ&yC^OL`Yc~pOkQo7
z`|C2#l<4KK;)uX+g);XUWom)jgMFe0ZobEF>F_s{hV*ZSYF-OYx%Nya{U^bst6vU%
zHMGinIrN9{5L6yqnqvFlE0$_U%T?Xge&Xar^D4rsG<#1sTl7C?Wo<C|KF!uG%*bi}
zf!FU)RsRQGPe|PY$ToCwBGUw?`1VOgiNP?{dmtn=?JQMyv=|RwrlaVde=fTYgs$A|
z!cv1>hr5VM8Re`3EHZn{XVEg6p_{}Ei@aTmkG*~~fbsmZqqxL#^p^P8>!VCYdiAl_
zOAYw_AaIRz5jM)vNQ$aC5zo$=kb==sL+b<tmn4wHSQyfw)l+E*Z2`iuwFtdn84f1b
z2M7meBjQqsjea@eUyl_#l!zw#8}Tp22vc0L$rUSed_$JSqh16Av1r+g@fXFT=vN=&
zQJe7thNF%8C|sj8QJaj*MWX`Wz%<4x8;d%_=w}E%Kq=<GDT2?W!^Lx(q6>GA#q`F!
z%y?w#d2h#>-UvKYRjt0({jsLk$+r9SYm){)GLfbgnF=h<lzA?d3+;vvO6rS8nNsAE
z_h2_hl<8={$Z$zX;|2$r^?3~?#H7>^I(3=)OsDNrUfLWXrbnPrXo%@c{sHWM5I%q<
zbbuwQ6ssX7SaFPEixUaUbjp8X^rWu`)s_nlG2s~bPNW|ac*bb<&;f(Nt?|_m(?_XW
zC295mRrh4XWS+eC9e(M+EIUAlIB2Sip;4$v9O)mxE)skIi%4LJLnM|;<?9j*rG}2e
zdZSkZ1@%0te6iR4*}JYXQofL!OmG@w+J%GxQ$$Ge>tcM#rn&U^l5&G@cE#DgCUE_%
zF-@KU1~9G1cBP3oWOvy(`G{U?Lsa1+UrWNZYNI~IEqOJpwtl!)AHr44U8`)rAXndO
z;4zALu50!DtK)X3S%;)y-0INZ2bYjk*fk`0Ln)e8QH&Rmw4$MQTyHg+6Zmnv_MYh)
zeuHOE`pKPMbS0Nmax1bPa%_Vo08v2K?7n<WL&luoxxk!A;8xbD)MKC0%ZmUid`d6F
zMyt6&(lejZdd13!hF~)UgLhqYWd%O;3@1J2ik|FD)rB0gJ;`t@DSa@Ny{hZ6UfvZ<
zz3Qjf1+6k}rMJUF@>A>|4H+9E7HJ!dsqOab9>hOQKMGebz)JwNmUcOoG)&;i`K%%G
zcSiSy)>m{CdLkad+Jni*Xu9sIs?EZ_WpDXtJgj;!1HP{6)8tdou@fx#MEqbPk(#$A
z4=9I|E(7SQ?ol2&ky^xCi_c7DRI0FD?zy+-z^M3s?xU)H_uR%f8j>ali9fsSX)12D
zDm!BKej8WAO{Rx!tH5KN{Wr`)CDAPbP9`RA!Hd}jliv|R;7H9%JQk^=m^szSC!m6i
zMktmI_be(;B=hJfb<lFXWB2qGSziu~d}+|CtS4WEnRNqY{b1<W2@}b>#3&={8HgOR
zZmD-{zEDWix&f6rFI9%+Oa6Zl_x<>D$260CZ<oUB`G$aAxw{NEp+I-podLaaciC>J
z8VrQU-4^DR+!M3zGA37EcNt0^bC+#LxgvKN{py3e?Cfdyq!t8Z8})LIvh^7M5sGL;
z{AkHvqn&nb68;pUly#9^AbX%R?M)FngF_OuAOGC!=Xh0>-(R*%w(Y)kAI{B|%*lAl
zmMTTeN2WZH%869^os!n#-mw&?<PPk{@Qw|llsaUF?VF0fV<4@}%TlM<0xT2uB>O`r
z;!R#69B#0Cp;4&M<3axbcAp0yz~b}35>?G9ZZMWcNE@+fr^1ElmPE!+8GX6;1a+hJ
zcsfE886P41jN$A~4u*t#3sOB{uc2-g$>?pe^^g5<+2{W+Y))x5;k->k9O0KPi@)^`
zU>6lWfJIcW#33q_Yw3^_ORnd#1NEK^&M60#KtT!2^;`_&X6!#7&PC)Tzb-n%Y>G;E
zh8-nyrs)ME%l?&JjY{^jE&`|Z8fj&ud{@~igm+k;^+o=f+J%)5kOjo1p04wcP+aOl
z)l&urZ_;bkKh2^*STcZb_Ky$%M0xLNF)Z%z&$J*GmIUCt{R0F*p?f{LfeFAF7(5BU
z5BTTk10h!@2`{xxEv1c<CaC^?c&WR%n{h8Sv)jl^-R3(@u9x~8p4AJEY4KKOw5wVh
ztMXe=TM^o8m=2tNMIg--k(Y$cwi~H)lgE%(gUM(7EK|e^sYmbhT(RznKcD90?G3;5
zw~Ih2{L<gRMyvTzpl5z*`dS=Zr%NYK6s(CR_@p5>qdi70I$HrdLFm5e+(X3w38q<f
zI(-USWxUb<0S_JCXe`p~Ib$2ueRFKH<8C?I_PTt9-ksa1Q#^75&?sY(Da%8({|b4Z
zS3t*3aL6OakkN_sZp<f^A&}$mg?6cwC1J`dPo!?4Gx8Z_=5Sg8kdxz}a;V$$$xye)
zAU~}PfgvEzhgB-zrQbTRH<lT98#D@)-a^1`4+Iu`?iqh_W?4J@$(DMDS~Zvis%tNY
z{m$$wH62{>l3$Zv^6LohHU1@4^~X!rry0n2`2<{Wt|T=}7Zj$Wv+L1qYPnEi^J{|T
z#koL4_+*Bp$QnMuqHq<Rp28tKh_9(j&XMkTkI|VQd>$TrfF|dzsw(J0BK}_J*a;0O
zXo*Wk#51rsMBGwuP$Y%hghJxg^;QFcH+#+(_*diriJPJ(@ZK&(nB->x%ZP_b&?X8D
zlYBLxR~{x2reLA0VqxD)6U`DPp?%03CczpkO!6oEMPU;9)rT<2<&{pmF*?<mY}X*h
z0XgTb(RO3Uj<V^+=irVnf+aFml8KtQ1}z&zd4a1#9#ffys|PEs5%{QDJVLhZ$OSOZ
zEzHWTccw<0ja@)^6+XFEZA^~Soj7ps;2BRk1^zc2VGT&Tu+-Ri3Mk}rqV0{wB-6Zm
zJ7@WbgLFlzD>Q!$=1|$T`~H162IJywCM0u&yC#d!xGP8nNgK*Z5}4uvn-tXKMC`^0
z*i>+VY=RH5^i3eS9Htr3bWe|WNZzDCH0W$ELXK$Alc7;)H0Uz_0CwLHAHd?`#}dun
zNNFAP@PdFbQ#-(*@wU-rsbY+*FVGT6)ZVf4UDw-)3C1k!p#lb{d%IRcN>8G0m5>rC
zO`lrL2;IS1Ma=MD)wLDrFu%|bvz@@(*rbDEPOtP2U>8U}fJGp&#37KWwQC%%LGUcr
z?>mg14Awe)4xZp7jgc=%Zzb@I(Y!c2U;t;^Web#Ksd;A$w!<%-%b)hr>iw99pA|3%
z?K2;X*w!y5BL388^Hu+BN_^^rO|s;QdxFnQv9C7Ws1elCYBP#-%KzO<xkLT`oCHP<
znz<vqfAkMvUu}E<i<n_aZ&ur(EA^fX`S06mI|#<jcx3FW%@0F?)waP)t9P~K&Ouvk
z`)@o&$R7UGWo@&67A000n_Q7qmR}b`;5O4w4}mX`2L+2!!3uTaw|j{%VLh-x^0oW3
zZ1Sc^xA8KFjr0_>WCg6heuUZ9pi1FkHfC*87-uD4?jY-9nL8fTdv?w`4^F>Rm3ADd
zCt!973?71`@pw9BpWtr51@&OM!$;5PW$c!WvCXOv$?fDN$mzl4MZpXg0k%1MbR$MR
zpHmBr%DxBE>&r!6TLfAWaJw5Dt>#C$o(0^Vh@un?@so%2MUZp1BIJy1*##qP9}Ff^
z^-<mqtuhg|_rXI)gbj<d{nW5j_2AP%CY?grXA9(dpmX?R#xU;9R*AelO4D{%RUNy9
zB5$9Aj-8;9V^<=UaqMOQb2xS_^_HdrA<^k74?$^|ty0bFic&n71CrvjeHT^rM=37P
z9^KMtg><XY*EFE!cKGH7yzhjELkL_9bl{`ks`|Cbz3l+VL$<ae2^5LZ{DXCAb<2j6
zy&|OXCj!G7(!iqdHIW|jtcSWIf~TxV{$bE4V<Reiwkr9_cVW7r;n1U?V<$8u`4X3m
z<Y!=UNWP`sDTO6R^1WNUEvzGR4*Bco4<rw6fhxF;o|Zkr<*y?+slhvgtpSJu1}`P!
zbf+#QqewzZOX;d$xpc~lSW1_Zv|5)E7WHf?#YSg-X7T9YcAA{KYU!o413Gp>LrY2G
zl37X_SR6~qQtwpPQt}CpWPP_(b68O3O!61hB{{%n7L>P35lwtYz%u30L^SvUqlq(A
zHUD+x#q5>ymN0wd-x6S2Tkk3)sQjv_cVMF&`&7AV>Xc?Y)|i@tGYx#;szI0TjHr9>
zNUb#**YUH0<LuL<V$Q`IO5(c3+k)tPv<Mn>5!K%Yhz@5mqSj+3FXQ(Lus4QTyh(c|
z@gQb@qX>E8F!EJw6wd6z-iBWVPpYi`>#{ldHQ>*PJ8tC*I)E7dll*!KXE-8Ph~a*<
z!gB<~@wHHnfN)MoMp|+Nz6+YA>&+3s8Z1ZPxI^F<<p|KPKI8~o*y`-q5x3f-(-7vS
zkH(aHr84wOIOb?&vjQ&8&Ku9&>1S^s#LvEOgEo%{`r{J{>O-PYbPH8rCz8D#+CK{z
zt6D+&g7Am-&ya2R?VFpktfqLm`stf&6{cKQX1HrOjxUuM6p!Mk_$8NMH%1iyq(C|1
zf|JJL53@Gp)zX+WrOA?<iv3r4qHiQOdZ~1TVs3y&p^^Bye*k+Zh7Vu~#bAjl)yjLB
z>6zGYC)op^FEo16*GCE8cwpf3HUiHW%^r&J!%!d;bDx)1Zzv{r4q7Nixv>h~g|)n6
z^?v_MN`zzB1l=31nr3i4VXvea;B|kR>dvgC1z1BYBld^Bf<EV^$gzSx!zL1xI`9qu
z0QMEc2e7OlEa}Y(`gfxzL#7?BquHkp{G7luMzgOVKMVy{(DFld)b!E4D=2pk#a7TU
z{+X0mL2QCWR#1Lj3~1VRK|P>3kTH^iRQEYv2>PeGH^I0R(wJv{o(4;_MWw9lTZHzQ
zcZ*?STxYb>g{o>_+5Snu^s*4z6!8xK*a3^T{L8M4gj^vKFJao`C~cf<1a;7l=<wyJ
zW_Wa%S#cC}JdJC;-01L{YnbgxH?!f{hutQ>9fH8%JgLJQ7p+F82|3d;7F?i(+=G%X
zGIB7vGnk+3{JW2TlO=1mv#bAJ!pYn#A>TI^!Bluz?!`u{x!vEhknf4o@=rbb;*|}&
z`45XBxqz83deB#~{kfxFc_QVA+)5t~CRlaByck+#!oPnF4;|rOEYg&vp|SMvZ)(<C
zLtS4qIx}>rqQ}tp%l-48qsh6es{W}$LEe9Yj-Akue_rB}@y};qaroyg^$xL#f@E#i
zS`0eF>?u{MuE6j6bAUsP`P(`VQB{B7_lam+rveRsVJJ%6X6cdXT&sM^VY-aDdF^DE
zh%_yLt{jq#MLm<`)kbITDJznE6iv=uRh8uAhrp81pzSfxu@f4SWQj{gk~6S4B-v7L
zl|u$nVRqF3c{cmYm*;so@MYxL+ogyXy(eImaL+RC7J;7Sd)R`?{WQr@>{ZT)JGkQU
z)bT1T(W7{@!B#~gO*_I^A)(|^r5mx)>f|*rVfYLb(5HP;3DgnW-N6i!W)Yj&x#G&p
zq=j8DPo1^8oF%I{m~@Iv6t9*L(_0LJa}zZ7r9Pk-aE2jmK@8IdK;EIE04Q?#cVrWT
zKtA>zd9|~K#D%!`iXxy01LiNWk(_;od+C0ha_c^9!nj4naux}d3?^?WG7*(KOMp9X
zgvNo~!MPXX4i1oV$G^OJ+(y`-h2l2i*dR?qOWcO^vo~&oHCWu{AAnL8x1nEsh})dU
z?~aK{f0T>a(A6OMFLY`nm5tZ5v|fg$D!Ws~r$%Rn$yg2z<Fq@|lkwK8@c71}Im2*m
zj)?5Auage#?a<B-y{pL|+WDSr+kMAA{MM$%%gn2q%Z*~DdW@%136U!N-;(a);hYq+
z<Tu!j5zaY(_M*nlZHi<1NN1nCY8vfXu2mIVyzx{AW9cfk9SIF)*pGH!>OyD)cCg~v
za=(CcxPJh<XNwPD@mXVuW@o3=r`wTninK?4))_q+lq<(Y)pDM_&w34kXN=~>*#QGs
z5TUQTUFxOP>$CQ=0_IT6XMKZzCMA5<Y=Z9XT8;Y5BkYyM)%!4N$4j6i2y_#hSI~lb
zfqww|g5m>MBneA;v!L!VdNM@3Zwu;G1fDUPeL?wQD6pXZ+Dof<LFLY&*n;|ue<mds
z6q{hl1=WKv>i4}AIabiONeIHWq+j_5u&*FKfMo??NpDur!o&5R44E#xf?l;?KX_{m
z{>NVT&VN~N9!wx}zOpYRKOO~^(s5p*y-O)~4#k$zY5tj%SW0YyMV3;2U5uyN%uqd^
zdUVifC2J@xq;^Jh@)|ENC8Df+lzf4F8VRJjthWlYcHUNFmJ|M2+LtvSAPd9-Jm?uC
zwEZI#UY}hyNH7c*<%9Frl#gOVxWmnVVYD(7jTb7%B!a`uulJ7~0Al%Yb4HxJ*I7Q~
zpQ#t6tU&4RFgl5T+&@476z1K^c&FWL#YsQexrOK}{@HusnXM50*gtjvay=9x&&|}o
z_s`RZQSMG4k|J!ILE1R^Cip4(kreS;=oh@<)p77+GG7QKMSPokSHJ@BzcRn+B6cBl
z3?EHY-yFf0<|!Beuc5(b5*uUqR{cb$K8By*!S_5HGD~7MT}U@ba?}x^LI;y0@E>r@
zJ3JwZNFmjDBlTSJnh|df<0Jxa`u~>vx*~Xrh{IZJB;^TgQ7v8sN)!Bh$*Z$hG5CYa
zS80B+Xz02+h|*TjmF&|I+vs)qD=NG3sww_XF~7qwZbg+=tG1&K5h{>J%&$P%WS%!Y
zxx#R>@gRutR7xG`|BHhmQsb|OLaR)Y#Rc%t5t_y#Rj|#pFg?j)A%P=|EdG~1?QKSf
zhV`JY6p?80Oq!s(s_JAblxQ&u9XsKn@HE3lCljnk&Y_GQd2<=^IR3`AuaB8JD6RP`
zFDWzb3k$%SG@){6)c+2sTO3xeJ@v*i1cm^cn`{11nUUWEjWUN}MYvUo^+TJnHIj!*
zq3ba;K2wH5jx88t=I2GRMAI3LybVje;X;a3YL;%XcCcZaW2ZKcD`)Av9F8hE9_LV1
z|F*JsGV%V?V1-+SI+v@+U-}IZWqnf~i!_GMMw2Z&Qt!+?Wkj53;w^zjy;*Mhp(t4n
z9Xp|+4MO6QSqB+d9P7YR&zfqNio3NKq}uE$U#fpaT=iqjGx0*Cx__B?n}fx|$u1$u
zPbFcoN-`GpOp>oRI`gB<CHXp<oV#lH#$ibEGofQAG$hFqmy9H5U~x#YrJgI#E)`~1
z4UlKEzkGRqN)CJ(E$!`6Wa6C_uu6Dh7al@_QileUlc;KbCKr4qx!q~P_t?eZ0Yq24
z)KAYOmUJ+9Lm{!_xpuF^M(|QUOv#pOx9$q%Zg%S-J3aHX8_YUR^SU0y&RKFr!Hy(l
z3H33UJXC}@$^hdeEd_CUH#GL`5-1#;jfh7O8zp8q0CE)72OK?f^YaE+exAzI0hW+w
z;pyj!kS)%`pT$OUen5_P9_}6@cna6;14~D)lH!$e?pxRe<D9j6${(sZn0%+mL{<I_
z0DRwo#)14n+KTZ92PndygZQc&o9@81`yKF&av%=kS+8k<M1j`d?~6bnc=bDM<mT1d
zD=p52A(#PN`roOKuR;F;ehRww?ATm<14l^~7U@OOlu!qQ$pP3;5f_(GCd&Z$CD1sK
zvxr17&f)+?IJ<(ayp(^Ou`Af}OP@;&h_6FM01$jV0UNpbnx5*@HFqX9VQWrz`zKT~
zm~1LC5p|6n06?7%jRQG>b1%jT93bU{e{1Dgu)?h<Jg5Ff+rfJWV+cPnAS*NJ^oB$1
zQ0>ivZGyJuAA$!;`G?@~S0A!q&uZKpHzzC8<?>(G;X5q(`LBEod**BR&HHekrkpwD
zMBXU!_hH?^LKv#X;z9Q^f#dECEE)Hf=)C%#;b`|p?aw`W=^nN8asF1yEg)fTJ?hW8
z-7VYBA#UC#nYUQ7nW;DVx2|aaLQ+{g$2LVMxf8oFa%?x17aQ7Fhm`cc<yv37IL#>C
zfA<DqG2l;~#QVG?I?|M04~_KrsylP`z5W60u|qz9CBBL!s?aL;r7UH6?63+s1cvj+
zo<RF)qr<QR@9Yz3Kfy4xkccH3i9yK_-!fVmbl7qBPr{lEVfnc7Fa1M1oXtK6k%##S
z0BrX9cI%Z`qpC77HNEy8#+me%qUD-Sx2&&?>H6Aetgn@WIx`Kn*t61>L!;33b&P)i
zJKy;L7U9DZP54qhQf_@c$>`7kK;ePvQ1S^!Sa!$;hM|Q-EYU~|T3?qNtqeNsIQu6N
zy1t&}AG!pDVe5;{-dHp~i8ZP!6Z5Yx%}C0wuRZDh1wZxu>vlgj_SxPFjY8MgU-<{H
z^PLZ15k4%@gm1R%>upAdhFmH<=<WKtk6~yb5lb`@gVxtajaCL7cAWi_2wh)a@DE)A
z!m#zlW^XJSpTrtfm5Jr7FZI-6Szqb?wa47Qe(lG`KHFbFqtNyBC;tF;zViVr!iOcA
z@XdC89rgshLqjeV9`ts7t%Pv_Lko#mqLCQ1zJ`rf1|4>s{gVh?U+4ITE&*ZK`eL&;
z7L8A0jjGDTvg<3qE~dEKPJw!gd*NG&ck~*~&~G4(!N5L;9mhx{blONyK}(uoW%nbY
z^JQqg^Mp=z@TR1}4nLzn>>-=bsoV%Y!hP!3Hal@to0y2U!r^-N#%&Sz7__2YwRSby
z3MR{*joV}nXVGTTh)KH0PPpzWn5#$}UiZ*Oiuff`ys?iv7*gU+OMwM+B3%<HXE5z#
zh~=(%otF2(pv-CcX8c80F4HfY(~{2??g*%k2rmrtsa21;75r+)!kgzXuJ#hf;<(;!
z*5cL-I^MQ+FRP4?kJjPdWw-!jyheGn6)Z02$UHmDk?9!I?$~5bqN>Mfc!8t8p@~`(
zE|f;HHbwZ~;iv^S)7KfL>=Ahjv5arvI|Yti%HYX&%8Em3Xmu&06m<BAS3v#V!oQJi
zyASWfzF!A(GH>f2?yShXiOzBz(Z?hz#l4FuqRD5m8^gPJe1JT0F-qMW2bqmBmf}EK
zLkN@lNGI=mUh*7%nr}g)P|NX`{sHV34IjW_R$+-|R;8BX0=ewWtYfgxSfNh)g4KFo
zhOwm>7J)`18zkQ)wjT_f*#+z-4?{xN`>Os`O`fkYwxqJMGNYa{!m>=MBBVuorbBj;
zA2K@)#}m2gi*;^C^ppGp*u{kpU=bHA>6N%#X7sh!#N{Hw&lt`JbrEsNuZtG4O_LcG
za?#b-e!SqEw!x_^cEdupk)DE<JPeDj9~ScGa4~ZWnQb0qA%B4DKdXhTekJtGE8^yk
zIBM@|kf{PMp^zO0nIAi1c(tS%RqEprY?17XIry#<doGRT@*PN(k=%nk9!%~IW;HjP
z=coZf9Gc<80*Ctl;?ui}AS;qg-ieJ?bCV=<Q64k+i@*3ZoSGfc5Gn(D(+Pi&?Crsv
zqwVm~L=?+$wh!qqHK|4lPiRpeNvR@3_t9X&)g;!tpjGB|rcc5{^5N_s4H<rGEYh|Q
zBUq`wbE6m_c7x+vMt6ovS9B1b19^t;*J*n0s;X^L=w+twK*vsSD8pAGlgaSS0OQE;
zwbVP@B@&XsU1t^0C1#JQDmIU%OqUEMkK_P|So56qk5N_sn;7d9i>aKTYxWhFbnTf$
zf<*nWqje#4i-MDzB9(n5bmb6rEb5`CuQj@JPg)W6lW2PGs;a0bzXo1~zF;;C9Xr7x
zQJ2VML_GtHL)0zxoN_D~>=kvh$9z#gFbBYlsC&B<>Fgg4SU@}v8n>399KgZkezw+f
z6QAXW2l+~oe@hT)l}r~BIG)Bng^hA{LdEU4l5Jk8LB(=d;CN{%k<+skf+D-U$b`X{
zIG8*)fV-RzNLV30_yvI{UkcNvQ1Yd)SS8MuD@bWAd;OSLgZVMv1*9=QCjGMcF}aJc
ztPk_4+iUo>gwfW{cvm^U<%Tf7r7})gU*-8qA4B64qpcXdt(zkL_42VsGag~jMy{bE
za!|s%=hJ&eCMFw|_UWf_pTJ)BRDQ}U{(ev8BeHGx{(aa}sjw#Fom{3BGLNM8OsWsk
zZeNxZ7xzM@XeD35ZVWHv6GNnixrS2DQh1{wHTO>rC0tEQ(<eH?KlKvq@Js#(8io2L
zf9D^-?r7ozSR74QqM1*rU-C%jT4X2~XA0O&JS}vTmLH>!8fH3q(zZM!=esqR!fXQF
znhZ$yrlYzwzfW9slP2n-pUNidx}R!!R`*%l#YQb1_0xNex-nWl(i?3^E5}E}g=Iq}
z#Xk860Nf83)>n{m+=az74>?Fa#+OR23+tTCmC3QrB;Lt`m!U9?89{8ZHdSdin$ZOO
zKkm^GZj@i|*ipMVuG3Z9(vdaWZY1-Qt;qPn<j;fokJRJsJ#%N5A`U%+69~F=X?MkV
zJW;FH(2FxVS!=at?wS!XP1u@n=UUo5)TlFBYsXVc#qN#Q;@5&?M^UYX+?%T48))E$
zY(+apH$>o-j5iHb+wJMrruFON`pB-@&f0W5UaO2Wnmg9xU+b^o{67Ag$`o9YPBt3y
zpBphty9?TJQyY3s@X%sYD$pX8ja^JOIz?n7X<_Zv$qxMI=*#AVY&GB~!9I|pr2xqh
zmv4V{PoD)`$&dHnZ$H7y<W8IfGepXED$yXDrHdT~y#d%=)Ql%O&Dso20uQPG3Nr&V
zUP@@VRX<-}0>A~(<VE>Sk{9621lFk{v^bEGDXgk-C<z##$_5bYNOk~6pS|D|{t%8H
z1Uy2`kHQ~hgmOI%GN`@%n~}Q<rQsG0G5aQx=Zkfuf6?CyAq7=K590+_ohf`FoX#G6
z)#`3w#U$k7s65dn?DN5ds?MM5pjE~R{8@PD@Qh)R3a4o<=uY6}8X7{S7*BOFeqapX
zm3QG5{w__}T~+m!6><yz5IT0kMZPkLRmNAAfy&`4v(y{HBXf|<NbtJhZD6&VV|v#;
z`CI-z2Vz`3+~0z$C(z&WFjdWe;a~c>{C=<1kuIHXiBJ~%QP^lTKMpz~K#JdM1vkBf
zu_dHB^E_ourU*DNQe>*cfs>&{=0u^`xe5o6q#koXT$+KOJrX2q&m_6D-(6mWJfU_k
z!A9Yn7^qKcZW~h<!QoM@qEE0AJV8}?B)<cJ4Ro|?gZq`pHkeEfYe@v2nO{#VLd3F=
z2zXUM!kwP!CeB<h{zg1`Q=D-mYb{Ps!qw~a#2U=$IRm6IrzidDqtkO|r`g^cPEQ<X
zwoXr)t29LBfYb9mz(&=S(3Q2{>G@9Cb}k$z8GFgqn7+_09Gt9BcY4w@U0;1vQe52W
znWB|^1iP6NPR}oS33fO=zW|Lwou1$G4`6qC@&PPPPb^WzS#kAx9EoJl%);sUpT?;A
zB2tqh)orX_PS4*E{Kg#Y$$1P&_x>RqnRkP&^q8$%#qtq#(dlWE^`1LDk2zN7wL!5m
zwLsJhJ3R+s20n|yaC+KMNwH7f3IO-R>G^SF9Cvy$%|kA=`{6Mzm7X{~QCBuv;6rOn
zkY}`{)6>_D)WpdJ$oRqJ{9yhg^>f7O$u=VPdd^chfxw{}*j>Ue#ylTMU3t`P<hv9%
z26;0t<BUB1ywQ3EF72yKj&AR?M|o^edb;WGF_g5`IRrQ<`5eU2r9g|6`_E+DzrG0f
zg<JC~Y{cA}*TPQ#_Js-sS(lREm01KU-Ltt9=fSLv3wtw$#D@-kQ^DY*j!v8to?f}5
zvqt#1bt+#|35OINofG*@grk$8pDI6(qf_D8(*p+Jj!v<5;JCv&*gKBSdtipD{o%z=
zoVZ_&jaGB3FyHqP?&wt1X|Elf4+aye9=gwgRvAa<1Mtw{=)@uwPSd$CYe(lNjRE}p
z;`y(S(1hJpRdb_|qw~|yu@f$GbV{r;j?N5J4o9b@p60al%8b-9x}($E1{8xirgz<w
zkLB$-5Tl~vj!s-Xfj*YIsA|s~oqvSxROxg}1WuPnHU1kLg)esDwG<GGtuymHWlg3C
zII!Zl0#hXp8~`nRwynYeB&o+7(43llr_`QFa%sO?SA;yliM7}$oD-@S({W%_tLPIv
zKX`(w@<_f0$j;W$sp(u&BIo3@mPFvJ{CZ*$B9?_jz^ej;qch#a3phH(xkj?q;^-t?
zy^c<-!5p0(AdNXX=~o{doo8Ru+1_qe#@dzblW{aOHVH9F__#X7EOTGaUNh6(7?#_q
zj$-$7cHh1a=Pv5gC-2#f`jJSzW^=V#eQ0f^xuZ24tzElw7yeqqk1yl<r>Cm!B8IzA
zu;NdB9sd;wLzv1JXa6x60~GLI$cA$b<h`7Q`vwV=-Nm}Ax;s`qYQpW5XdoxA$8HQ~
z?*Xbz2tMl%b#A{qXD;39%dB&Go@*|z6aw2_VTdG?Nab?Qg;aqHs{W<(wPNn`)*5ez
z{hfEh-ml4i9GZd^o+gPdz?C9KVt?r9{G)d;hi{k-<JSIyo#=7=Fq=}E<GVyGU>hv^
zua&sqPkpXG@y^u?%nwaq7BM9vpb>xS1OBIXKnFN%s3PFx*F|@1s(jLQk+w`;1as|&
z<MBa6jyoRNdL+l=OF1;Tj>qVHc<BM&9N0vfdDD&0g|Ii>^WSW=8)J>h8<`kDgn2Qq
znQ}dS1oR(uysov=V`TS8f9J{D_fNNo<OJ-8xowtQ#V3&tNtWnI#!&j1U?_PQ`s0`6
zOz&Aogw1F=1nuhkp%P5{c<9S#f|KuNyfHSD{4eZvDWt58H>N7J`b@F`nsyh%1IiTW
zE@T7QOi9=f>oa#GAD9PL&MIg{$MXbPmwXy~U15MegB*PnGDzo;tw3UjLXcykqLVn;
z4E6Z^NQdK3a*->kCnpQeQ?_rVUT?H3ZA>6*sa71~-jWHwh1y6(l3b4C4<?uLX^5Ac
zbeU2&L*xz8@DgBOhK6*-+q`W&O+YM8=tORzdP9E46Bj8>c9Tm%Vv-6>mzmDn@fTh2
zM89mNGoLEh=%p`sx)_py@xr5tiP6TyDEo+I$=jVag;~<J0qqtwvtfK!JKb*UY^Vh?
zC2xSI%*5!HD9yBCf53&dr=JEtuWZy~xcCX0$om>Yn$UY!cq1OFw4v%=w)39j6>5Lt
z!7kah``&%{#A4%Y=C!Ls?X}o0V=t5nf_9ucB^Y*t*=MAtKqhx!H%3mv_}&mhE`F(%
zx1sQ;yo=O!T}WNfW3UeRUpj1W^1|jY(C&psp_vU2`UkLQHt+!~nGIN?o;(#xeJ#7d
zK4i^vq_VjV`iELbus&ss=-zfz)5DY1Kx5>;O7sW=*@6L<Xcz?DVERp?l|hG{5&lVl
z3}hi(NDMIS!C&|XFP@~pN0}{*x)i%VbHCt;I^_KV&+R&0<)1-u1l6JT7L4osMD$Ds
zmw=5xW`QAwPxX&q9K>{>y#?Vj{3P@YLiRajeY2?g#}0rm^AY4O8z&S!-3Iq=PexT`
za;kIXHB8GI+ioEP(!TA=OTlT|HSY!g3qO+fG_{vNBVA#+uj{+VKY(3K_yCqI2TQaq
zCp9wqwC%pv7}3zU3Ojqd?Y@hFY{39aGz@~a-M=?l8Fbhg;h#kKw)-{z;Ke}<-ga{-
z2m<d{{`vO|JasSBRo=W4bfz2ZD~_N#RKC{h4U9+liRc-O>29clxYj>@aS+pi_7;Ta
z`AO&*gtl$>8vob<@Ri?onE)Dlsc(BSsw$JqZoBz)(QR)#o$FcD^ieHGGJ@rUTer*_
zPyLhJT^b`_5_iM6K1VhONPGdnMt6!>(ge$;AK{8FT0}ft!Mq{lH*WJ29Be-6R~*l_
zd2NK(?po6)CmuY$9=A7nx$pP5-7DKFj-vE68oQs0hf3^)x}tng_FvqIWu03ZX(h)f
z_)-NEq^DFo;AU)U39sM|D5FAZ`31O_KIJ9IVZT2DjY93*FZl<s>t#NG#m2)D&BjZq
zU1H#n^?b~`);Mnd#OQ6-#siFyuV#M8;ImMNB^q@>M%bT>Rt6Pzi2akWTCldQZ{>;l
zjE%9C-NkhZD8KbF5>kyz;UfFi#{|l#s!UGZ`aa6oW2`ecaT@ZKN*+H!ay?=_PoCz-
z$v*2-pi$^LJKsNmT?qI97D>bsO%hXTORTf&joyk&iLs#vt+Q(xd=~1kM58Wfoi&VB
z1{HRQ{gVh@XSe&uRz$h?>x_|LEFPc48da6aW!G7LT{JOmd*`f7%m-$Try-GnCg%Mx
zZUGb1Mz@aGQ1VPniP#GN(PP}B`1p0WHGI9gD5>CI520rBS&o)(N2xdCpST4g*!12U
zMzP_}srndPE*7_U#c*>N-j|OCNt#U%T3wo0$rq3-gURQDnZpwa=3;o2jP}oRN<j~t
zD|7CiaS6Sg*n|&swW2zHg+PEk95rKj*{vQO*Qt+HD|NUJ{<x8WEpVF~IMZ9}DX;_i
zqpVVk*s&p6NB?e=NgmJ4@BRn3-75$9!ELV(A0lPtw;3zHS(KH@H?ReJ_bo+dFWmj~
zt0FTMx%ofGMyvT*!|_T~@ecxAONM<kbX^^;j@t^X9cH&a4J)Y?^qWE`!<1ODjXoNH
zxBb!A1c>Kw=Ui>9G6}*l-Ql0r(r=6kI3Nt11QZ5ciKV^~gnB3Q0@Whu3Iu&sH~YB&
zEK)}?!<PCBR0|0h88&BsNztRA@G(Y*#$K&#NuWZ+%}`IE3A(GQTWg^grjCV<o$%1R
z4h$QO%w+cw018X6n77q9xtv*sKF$E+V5AM&rQkOo)e>yKxXid07Qi(*4Jz9b04YOI
z-*l5pp>APZyZaAELU!<{E;u)qAut43?wJ>d1X~dPrZQvKp^?v`P=&S-xUJrUdq)`p
zL%>y?_8ejLk<Q}RmYK!f{et=4-oyNG83IFKPTl$(<n)0K@h8j7;E{eo{OR69{LL~1
zhCs}mEF4~&$K~f`M*eBfpv|~zl3$iVH+f9i+_o7yc)^fv4Y+q?W%K6X!fAhv(H)j(
z#)adRV@th3pFt%>zU!?92O6_y{Ro%Mj2=wp=P(Qje=VHpp!5Bxs{hkF*P%tZv8+YO
zzS~p4r1a-jYzStrb8i=)<yi+^IZR3{(zxz5djd?#Ek=hyQn{HX=&o9NcfJ@pcEUp@
zCBsIu?z|@Dv&zuN8Q{e>$E2*68Fy#DaGfrLtKX!2aTx+bfDJGy?=Ca;OuxXrr}yB#
zw+w+H;Hvgxu1WbwnOS_SUoih&?_vI083IFKPA$kBlk%r!X7I25g7{~>hj`u^eZz8Z
z8j95u0&%WMd2pGLS3slQoIA57<)P4b@y*R=Qm!pSA_v!EQeuf_TsTZhOT8zcN$Iqx
zQk&9W59~g(?|h?jZO&@Q7?s{G#YgV`2YjGDLBL-59XRMN&3U&mc@DE`e@az*b_Y&e
zi2wW!obA{s$GfZe?dcSdI_t$9gA^1I4kvG&l=<Fj!26qvkVBWGw4g;Gmyqm2T=I(v
zzYSVA^Tpet{zm*YPm$ClxnQ{@g&c<7OH!}~d(-nxKpK0~lYZIW^yIHXmi+|Y)mp|?
ztKEcGZd;@9$>`DTjmBij_dPEt@xEtf=(2BqwsI(<V8tdl9X27K42d+;$}%OCUxr`A
z*_tWZ294n%&vn|%?|S~NcUAc_&ps&IcK>#+yz2=->(ZHd>+@(o?}b*&t0om2#b!Pu
zp(>t4m%^MpirpA*f^IA>j9k>xbe|(!eejxTCQLy1>^ojs9r<<NfJWfeP?A#I?~(l6
zKY%?cg%4oKjKLDkut}+1nOUqH5aaL<0lxXTgmtFxzgF+qZQZIa5#L*yI7WW5-5(j2
z7E-Z9BUQos79rX5ZZYUM(ocsSZ~r8K)maD^pe8lOKG{FE64VUDkPR|h5Oq;?LwCM^
z`n`h=FB&kQyVgH;0CbsCO7NR;jQfVYW6z&r3)85oOis<8`e!EDhT?)eMb|n_mvTVD
z;x0d6_UX5vkuD8x#q}cp0Cs8M16WowmT0RvrFM3T>vcxQdrNWM&9JnPiX|GUL5k~P
zqm@C29dG|6f)&@N{9`Ku-ebj;JO3c)zUiNS@1V0Nu3z}a4uGz_;$r9-+Q_%^jjGDz
zvWhFeE+&53>^(j4b9Kl;!m_{87ddqsW!1_0!ZMbKLQbfd(jfW!>%lOvt~a+z1H{by
zS>vCiT^RWQSr{yq+8O=<ilabd1cP8vcsTpw3hzpzmBCFfP>x9iE4&;1V;9FT)KcS&
zcF#XZ;qCHIzjx4C6y6>Fu>+thukf<#5I)k&Gw{qLg?s(;EQwJNdmik|&_T-K5&zHu
z+|g6`*ikW5Ipppc;?+#swvjeY9s<+3AFpOUh9)^ruxIWG%JP1gpEPrCk_^q5=Q0^u
zUG8$pkC1(X$-e}15vjpX(#&a}7BS&_oMzDBX{!BXelC0_)gF#l=rxPLr%UcmnQ$NB
zZXb;`>TS5&5^q`r_a<DA$6w^!CKK?d^9Qvi;Fljb6@dR>0`Qxn0+9R~Td=hJ6v@4i
zmcM9N-}{YSTv0d}XX1gI`PgVR_Yn3hE&mK+r%0j#ZVVIu`;~crY%t|&sPwzQr%dMk
zYUm2&-j;cfMVf78Yy(>UP&Xh=>U5(+Kg0N^N=~H-x~r=8cA?DsGofQAJd`HIu+hl$
zrb#`m41JsdUTn!s=9=ANmXDSh_l5$vCYM3w(9HV^)GdswKTT>^83IFqWwtX%*5+4z
zX_=8<1dV(FRaImQL3?KzXubKgZz@9{M;1;JW<D*JXez^z{9vg^ac$QNN^+OV&8Ibc
zPE9+@mBAGLJ}QS>xOwn=+QX@;KcDtY+zMnqtz|24CU~G24q4v9@~6yx-hkY#DV>W_
zq|APn$g}PRSfnx5tFHp~f*%+ix~Gl!^S$7^G(mUO(hKW{(6JL9+6x#q;d{aF%h1Oe
z;Kep)FBn*-Gs+E?g6m>v)E9+y0CZd!SN~pcTp0pGfX&?tPAxO?DgA=>NoAn*?gf{X
zp^qbL*$c2lQyGrEz*5hj;FfL%{(5klHT%xr4gNky#bkB^Z<itw?$Cf<c_JJhPy$n|
z_M@sjON4uIA^!98)C;gt&Us2XRr|Bom_N;1CuP338u0$^BIJ-IFas@oY7lwPxrAgF
z;*wuXcp{uQJ{L-a6D}ml1xq3v+3(&&IIO`E;XVPRu|zof)rUm5r)jA}=o(>ZaILsq
zG7Ij!5?OHixMfq|rhT;VbRly7K=NALHuK*yC29U!rs#3afBS}aG5Pb~{#mx|{`FkR
ze=~){_zu^ghwCCN;H@Lo7^S`aR3cP7?JY$&`3ZL8NPEkOle|POQ$hp`DIf9@X>YEY
zX+A|j+S{MJv^vt>{u>(UQBZgG$np{0?l3H1d-R15U<r<4iDt&6)UI>^Vi@pnqFR7e
zjl`ql{S#IEm+HC3llR63$&Z*E0|S%KZ=QL@0hVaQ1_hlq8Lfg4_fG<*mj!V?Xix*g
z%l$(a$B@RDErhzL-Xb(YCS!2SKYP2VmH^K7vUtZob^vnagQ<)J!z8k2kFbSlR8=OY
zW{>=iX^Cvwn`@n>OF1Cz?KOVD?9-otM!Gb(71#a#0qoMi2e2qEEYa3-O6@Ea*GG+>
zjrFc@r^kxxLkvv|u~?!J8>G0tY_u{6u_NxEM5yBWk$>po7zQe?+}Q^K_Xq#%dj_0M
zaUHl`XSKn!0OZOmE{2|=jeINLsH#jZtGM#(V%nR{-m|5>Wpti?e#q{wHWTHHSz~SF
zbcC8Hr^3Lx-gKwEUFx5tT^RWQVK7|pA3@=2j};!DrA6UkNpXeOFj^UF#|xEX5}^w3
zcK^`DF$`3Aeh76Lb6aY!@z1_zz}Xbu1OBlCkSnk7IC{#a;7)t{n17xnF;a$hv*(L_
z89J*REW!8h`-cwTj-euHjQkS_<4o?JA=2J#+eX?r`6n=)`;qqcGc?J0+8c9EP{!4l
z`JwvpPkUQ*3h2?nWC8vYbeAPkgK2Mb*Of&an8yhQ1(@c%y(~BVY(UL<i>{8R8aKz$
zcxQSNZWC?CEb~p=F}t->uiey%qnj&}9Vlu{&^1vTh6h^JN;4kk&xa#xwT)>~+$-{D
zWhTY-duGyommJ3A=a8cElN^jKSk_$1i@lIFcT$m=imbUOVx!gE!Puv)IW$<oDH*r>
zl{I&MFy(5<dOv8D$(lO{9>U78WzAucs!2>gmX<;gk~Q~dMu&#Yrfe`6pW>Mk*U|*t
zRaHB+P}ba^L&r{dC{u!Aqmk*&nwu^|A7_BELu-R_pQ}jjvN&LGD>L$~1&~c9p>k;6
z-1DJsVPyTe60a#kU<kBid&`8xj92!ZWyZZ98u_BHs>l`s_FZLw^=3+Zq6~c;S2#wQ
zS#wyTsSHP^gryz@!DpW}XZD<0hOVr+vvRnFx`=1Zok>-TWX)N&f*xnh{nCKkttp*L
zQe@5j8<A(-3$RFItXE$JWX;Xrpm*q=wz3!O2aWo&uogncPIzc9VAyDC*}E4EmZ6U`
zz>6*OJ9+kklgo@e)GuV$S&)6z?fb#~SMWb+jkqB8Zwi~sP#S`9&Zcl}nQ@=qFNB|A
zK{yv!@1`(WhCYs~WmCWsO?Nmp1xr1DTAVz)bp7?<RBZO0zb*Wjl%ZcOY1@LgOOZbJ
zq<~&|ViulM0u!^2rK&wkpL=^D{`2&?w_>B5gOzeXr|o|4+#~m)BIHo|+y|kBZ=b;}
ziE|0bF2p6jnDF#DagHvOJ||pJk_(pfIWptD>2p|vrO*8UNMq@9^s5i)b6d3JBglM<
zOJ>cTSt4tWhAW#aSF_BV=g48d?b=j4B7T^ua^ksJL1xUc>*07ap2M`4Z;AVF@0#&v
z$^A~Y?Y?KOWXW-1Fp}dA&T?5~z}Sl9enhEo0~_^iPv1(0s@>|#w2zsIFzWMQyGkKU
zmSQ(XD%`oV6}3!a+%Y*l@&;+*ML>RB<ORTyANK@kq=&NHX(l870qkKKK7b_#h$Whx
zl2UtwYt3?842vC(P%ASnjC`*PjL~%QP(PQTx(hrxbCwbFV=w12xGiX4iH1f{_-d=s
z%Am^568|JX8nW=(qKi}hu@(2C3(@k?MMi?Lx7*Vxm;f48mB|S`a5w0IBN%(qJTO|P
zaQ#_Ey7b*5mE3@Iu$TLBvs2M!GgE}Zy-wfYAHXgYd;p7NVu>c1DYboArynpzGbCDJ
zoJ*>VsA#Em`VfQLf(DjoXecakhnfGuXk}1kXNi9j!Rz$f{;>lPEx%3~3C7~{Nw`r}
znOt_A=GVovC)?hxr#;D}M!Id7t`DL&YHfPZ5)4>$sxA=*Zxs>(B{nqGX@3})Vo8~7
zY%D1*q^pfq1|fDK^-sboq?TNW_5PuYV;GnVkvsdK)xE_(`<?-3+l8<9j~#$q`PI$P
z%Uy;dlf<?X)5ghf;2hJBOp*gom-9>#X5CXB!+-E&)9f=z=rAL1;>o>0iC34Wm*iGt
z;b8KdU``@6m`O6{j(Y_BZcZoYhBSfX`utQ4ErA5TPfS3HFB6-ekgmbkqtPoM4v;tG
z50J?P2_Gb7W|uMZ&Z5jr?!Xo-t;2@U^%3~+&yU9{omLz*>XUnb{5`E`tWt-sWkY^U
z0~2E^@NMUKN2OhZ+!~%d1E2GaoAt`%<eq^Ezzi`Nk0;xesIfhX$J%hw6n;CT(P_iy
zd?Tt+jbVgLH?4umxYdHsKv%{q+b1z~Cyv?;YCP7M+Fq-}sEs=1>eP1BTkw5g#*uiU
z(wS@zumMJ*Ypd}6X_4nsNxM@gAg9=_R@wuVv9U%6zC=xvn{Kq@db<YSAC?nLotpA1
z;r|~iWMm#zsm#8X$?R*&%IqT0Ua8FPg;b<>7n!L@MS3STTFo6iJxfJ;DtU6Eq3j8f
zEwDa)Li^ER1k^a|E@&lVRU!=iNq9(RWcCx<SftsJhG#&F&vq@RL56|Q!R`uD7Ri<O
zEn`^25LIj%C0PA+BEwx(HNFcaE`0|&c7jNeREc0FK_dg8BNk_=*P{dtv**;{awTXy
zk^>}S&LeRjqpJP{4RW5swMMxMq{oRGhn=R&u3Ivk%oQtSC3NLjAz1V{tdO<Fux{d%
z6><`h;jXH#kmT3E+Ry~FVd&TiBCQaKU}lA60CcPnOFe%STB?-%XtmjQ{u((j2g=ME
z@pdVq)gKO6c{~n^n^|BS^nSKTZvp#p&FwR{&J0x-f|jK#!){lebr)Y9w>!;xOK5BP
zw?vYZ^K>E6<I(CVY?QP2DyM-%QlkzHN!()Pw5(-vid}0l*eACanKnhGpBunq&J855
z$J|)PxDmDYOvi#F+A~QqapjFg$P*UPz1S$6D+gUy2NQqm<t*L0-DEHH3|ZV{JRwb=
z;s=7KSXL2<q-eh`dWe_>F{63rHTYQKQ|8cS0a9;-mL4;j^<KmBVFT&ff7ra8A%HN8
zQ|^2Hr;A1nBx{~|Te?Y=SI5$leh;zU%^y_Td`aWlD72)#qbEGkM4XZeC7K9Nm0YTp
zL=)Psy@@7RgC&|A{v`Ny`Tp=9`qlqLlN$ILhSo$wpvtEj;~n%KRN9s4W@Dl@88=77
zkCyy3+G*D&TWe;zX9iUq(enmyxUz{R7iYT~8ix)yKnxK6k+~)K2gU`{XOvFD|Axyu
zNoNmL_i`S|DZpA)gXyB~&m$R@ZRe0<5%33I`}0Ux9d<>Wkw-#B`Zo1c2}AKKl~M?k
zbFdpDkK{xYk9<kuqLW6U56-sZb<$AmLaHMy1^$;#*>zsZ90?*%hemMrQQ{!(!1I`Y
z0DByS4`2zkVu>ou)s)(0e4+V+by&&RtM?dv>I<Yq8pr|~BtP?`!*H~ai6t7D3fAt3
z^2?1@1|fE={gVJT8~z<Mcr2e&d9#0P#XqB3a%wJ3`Ir+U!Pso=5oIP>Mpb2UYDD=8
z#vWtM=^Ea?=F&@+Q4%&9^7d&zRQ8E~f=xz|1NWNyvVQ=(9Pj}w!iXiBF!o^0{nY5w
z5LJaEE^#qZIzrdnj~I>?GO<J>Q^DH3=Jq>XZ)Ff-$J#%M;5B!!f9wDd%da^`g0YZ%
zqH9!DCYN1v`E@ai!?v^PSsVj=OGs@mi!!t92xrY2*pkwD1`JGI#Z3AJmK2xHtBqDc
z(&?XsRXQyv#c}`83jYIFIE|6Nsj}JUN{~oEunAGxI5`QFLO&7^&O<fC6A+kLNOABr
zTnF_a0Rhce8R^bXKw#CSahTkJ>>Es863j)UW^N@QAjxn}AmCrf=>+Lc6A&K3V1Ha0
zt42HHJ?M0#->5H!2Uxs1QW6lN+60EToAF5yac{seaAE@fsE@_NQ3IdvszD5$H5<VA
zdRk#5I<M90OhND*g4?{CsJ#pO7{ds9rCEb3FX*BR9AThUfx0jyiqqGcBCHShU{HLW
ziqS_X+5h+Xgcykql9(UdcF(>;PAZ<SVdDAfqT-pn3R|$0ij?PjAw2y+k(ml-?Ax)?
zYJP6)S$O(r6srvoeS?3DP&7VbCav-55NhH*Nq#z*K-IVR0%(<qK7Rrp(k_^dK4X!#
z4H_G|9(`s;p?Fc3h?62jF7j^}-5L9%vPq#EkY9)KRhpi=s=A*QiYk8#I(C9XF*Auw
zCT5la#t}2K)H@Kh5qs@lhp20oz=mM9Pxne!?D*q3a3QihcKi{l>W>{CgLA~#u`0bh
zPE6BhVXU{RVJvce_zz`=oS_Sro4rmBiO}#0=*l6!Sky!D9WuIePg)V*6KHzws;c-V
zzXFbghJ4pT$4+oad?hj&@y!6^5MN8Z6)3){0LUfY%@lzEn?2+U@Bul1WdzvUr3mbP
zC}3IexC3qjfpLeovK7>;z;3;efbqcYPHdF3YbjRN@fS!-Nn{9uZ9`XlNqbA|JVA9+
z{s&bDnRs3iGAU|wOMpyp?jamK=AIVx<=dO~OhQ1r-0O>wCv1<`Vxw>_DqF3wC8NVo
z-&bf-4+l@GtU}_$`c=|{#2vRbgvCt^e^-7z5hg_B3NhTTFL;<xSgVD?gyK9Y8EFX<
zl8X0+39$wX6aENDV_`!2)rT<QC0ej;ssbOu9V`1v`dK9+g<{0A!NRJ2{?zSmi1XB^
zN9yC1X0x(K#tm5+_?0td6hG9Sf+tIV&2TRV6aNSTpc*jx!tn<ae=pm1ADSyKrKjRx
z#1jv*@>%Rtj#6DMFF(_drSI+Z6wBlQ?8b;Ho?cGg*wIh<Sj$oFet6w97O<Gt6&T3B
zb*hi|QtgO19s`ZQq*grg?&!w`{{VK6JRiUk7Qhl!;+2TwN^NO+<BkJqRU;a7k<q`t
zqDn*`)uHm;rJEVD7Q(SaBV0k>9S?by(aIplj=p~qz<7&EVTnOb`^Q#J^QuYFn;0Y`
z!Pv>|@en3!Mpb2UYCL3+u_ui|@)c>@EnF*79(?(VG~<zX`C+pY@mFkOicGjy<bD1D
z>@vXzum~oWXo8vQpq{MAzcKnZL|EaJON@-@Pq7vGeuk`ta4gXXSI~E_$S)YJ407z~
z`zH~+BERP!I{?b^5lTjavCMqJY*bYymtB$hbumI|+okmg<>BeR0Cru*y36W4RhIOP
zb?K9J=`i@Lkkc2jT?oUI*DDjc#FFA-8yT$(a_nO3pM+IxEuqVe{-KK_85p|Eoqf=H
zzr;WLo&jge0@~^yI{>-z>z$#OyD&xI*S0p(#>sEtu+opf?+VoJJn+jbcZxs$j-QQk
z1HWsw)av6D=1b#;@V0MzR~*CJwGcBDCl(p}E6_qJl;k#K<Y4mLV16<`$?7?IvLg;W
zhm#5%*rmh{z*j}D#pHTa2d=6#AubDVR?F8?)JGCpa(>-a1XtmadpR~*&Ch#1iw3Ue
z$F^t)?=fNjnV4);+H2Mr!9iA$S($oxP#*QTFH-)kQ~h8t)vC|#+0ZHzB76WI(r%Lt
z5n_?H-58sw5hA49Tll<fU#<G2(VejmDJl))06awa2u;sjRo#ILg$O?l9Xr9H7z;y2
zCvx79IF!RLohRQaLmo$ecEJ9k%*g*%0NCVfP&qVs^(&}b7}(@HNCV3v&mg;SlP-sD
zX;1_w1lfhOJOxMjUpiM0D>L@N(8zb?sw%XFuss|)E{rYSY%icS@3>!AhCIu{NY-OV
zoPXvZXO$lWUnDcT!{Ifx<cM%u>K&8@=(!G--0o(}VB0qPNbMR|kpAs3J0I^+M0t?@
ztyI+?q(6nt6T<ZFO@)VSb9a?I_eC|BPfi&Wk^6Dz%CW0pk;cB+DZg8d?t+xVvuS$n
zs-+j`^PpoVIJB!UWVBtytNdP7hCUAe?2vt1nUUYzFJ#}|b7VhOhQ1JF1GbgVml^x9
zeqsB?QrP-b{*TJgXImP+L4H$y5Zk_j!)uDkv9DO_tyD5+G8>Df5Ox-`m;9Zj0`n`h
zvv|7{*)#VA>{mSh0*_6B;rN%atu6PgC$B-^wuAgz?#pz_TX&Yu8n@=g?UiTGti?t-
zr#vNl=7?<ejIyJGz_=^O$$IJl%g-r71?5Vd1ugPe&Y6SM_Lw<ZA`EAc_Ds@EOuC^6
zd4frQj*Y^ZM7N1*M{9P9w#BvRJgQIerr;@-wE+0%&HOgN6!8jmka>v25={pgTR60_
z9j#wtG;^<y$B{0p)7X0GdVT-N;p2w#$vlH(_+&Y!FfMzQFfH<gq`}QHRB3#X<7z3i
z$i1VBdlQ7iu24dh@UzOrYe|SAw}Cey3Tv>0sILKOEFp@1^&uhZIxW!z6X{x`yK3#~
zDEfa#F;lYKH3}D%NRG0NUN%u`TRvSlT>h)^lq7{(b1T-@KTN-uv!j0P)d2qNs9(so
z-H*<d>?pfD7@1PX<}zCNc>-$c8{>XY(f1u)8~MNQk>Z{F386PKs2=Bg8CH2Ib7V;!
z42@vBQlf<JoQx;>2e3y8`2d#G1T4`kfHWtg^t}w5j6QYlmdK0>eMkIshNFc{EYZkR
zuy$u)Jl$wz5MsyLKMAW<VvER*`Nvkm7pjfbo17>{g0Y#~GccHB8C8|ZsTmjtGWMi7
zQFIr|?C)iGu^%e?#GlV5qsW1K&CU1+u*(4-z#@!Tq6uRU*4zU|pN6O^9C3+@k^2<7
z=I&=WTFAr_jZ6h=_nP~J(aIpij<tUh!E5fz{;>l<ET09zNH7+XPjro{%H*<ZF262j
zJ=u0vJ?rTphq)GZZ2ZHl;WcHH&fNLAvi}DL*7w(~!gR^p8@S?ZU222mj}Ksh0WB>f
za=Y3;g2KoiFV!pz?AAy044C)vo#LOQeHrorEV=+oitB>&dp`-QF0iDMUF#pZIFkZX
z$ryyW>s2H}*_LeDIQa<}$o)u$+8-AbPljSfIHltJ8$Sx=CPRf@Yr(yMq1ELfBiV!O
z8%%Zua}lY*TQKJO5svuK=46Ag|Nl!desJ6C_w`FLUdp8P#YLqxc@ef?mtv$m-wSDQ
zuPriD;d{Ru8?EMt_MWA|_2*KI4+aycx^!F6DwFZ{K6nTVaaA{)@rFg(u4ot#TG*by
z70Xqk?akcBjP4B6McK2^$ICO`9;NBItEx6gp^UfBLB~#TC^tbOlgYWs0ON>_TI!is
zU&uYdb}5G0KHWN9`8E&cz=g>2e4BSsRe!!spDx9ie~vC#ZuUAkBvNbsL{wPC7mIo*
zzDER4S`pvFpph?Rsfus%U6^oaUg1&Du@f8;Ux`dcd^5l}#Me?UbMr+iznLO1aLgX^
z1^5rdPq#p11lZf92<yKipjRGL!fhZhs5C=WlU{}OpH)b}cvyccHp<zx6e}z2<_ea%
z7*sdqe^7OhiAE7JDI_=vEqsdzWrA}L;pj2<v>1PW-2Y`o$P>25o!BUxi!A6(b1}AL
zM@0P1!ILVhkSvjY&D<cB^akRNcX1QLUzcA`FdUI9#Bjg9;Fn?uYqd}eSR5}UBP}uD
z?}EzcdSk#?gT;Wq0;I7RF#YO740!X7xIH=*Pc@o*Mq9OK$K@ivPYR3p8e^4>?_O#2
zgCBdUY>Lp;25&lQuRUG>C0p?2nc=8YueCSPdyr>GCtYz8#dgzl_q~31{x5;Gs%fGx
z34cKM-(=hF1N(45*I-lT;`|kv3T)TOJeNBRrB(fpq`vr-`6+VAAFvxEG<#YZN#Y4t
zY0&8SfL?f`G_JA$8wsB;`$H%Dkf-_t#u2w&0gZIOvO9)!tbYKzLzNF;aj0U6D&WfP
z7OTBWl|vJ@t({?vqA#N|k=#I!{izID3*lIz5grs(y3%N65MoE)KMAWR+5MLHjs6)Z
zhjZ0JP~*8q@IxIcKLnCXOAw5^{6zE&#-(y+F=8io_$N>tMP;N=5Df#z9;0I`*QlyY
zPmR$n1EN5hQWdwt*iEzQ3@b==Mt|t)?A?Bx>~nqxn};F^Zguuy{{VJL-~(7zHI`_r
zI#t~iIB}TbmcY$F8a){+U134sItvWke2%~~M)TtAfB}Lhmn}#?@7JAowqP{;(z*N#
zFRjU+K{pjuN#i;0Qg{f5L_aHF4mYTCm=7kMm<9dT=kX{1JgVkAx`(tn)6<P+d$cuG
zX|`|bz?Yy~Gk4(hwyM)BvV8LEVu;&jq39uQ^=+E$CTYzdKKfi;cnu*aE^>U7e1&ur
zjO;tOb1fsHg*NI_+>#%G&DM`-;h&&i;B9pr4sOgYq$t&oxuuyKEj;d`xE--mRD`D}
z{4hDb0aL5vch1qWlXoVBRF$%uY(~ZnCg%n752?T?;oLeG5ZdQ(A_49GUz6~RB8Unf
z%{ACaN(jhx@`}uT4#}%CkB0mn_DfMdqM_^PbC+m+4oCIQ)bySay327mny$dLj;#@C
zaBQQ?6Uc;yj|i{}A3@%*7q$)SHz?#DEN%*hLiIME4XrYfq$zmlh$LZ=wtpI`OOGV+
zPkM4+oAm>qFE%=K>onBbJeKqVnxMO?y5km#CA}0ncEUrRFNTdqX0rPT0ENFKZhjv0
zjb-TL4De#BxDM?v&%C$H$nP$IZ1Os&92(|$AJi?3Y!|;u%8|`}p!Cr)1cpGnOj)>M
zc<q_g?BvP#TA6u#1seHwR8@ov0sW2M1O4x12n+%GAX6y{w6g^|<nzwc)sR~iC|cu>
z{epZx%%-qxCyyyw!_101vJ8D3aWMBYuXPy=gy6!$=m)pmWq$G(d(gD|s_tR-9ZIsp
zRRPQ$v$xa&bOpVW91bBfdC+?YRrPPl8}Psy4Z)>(wfYX)ZdK!s6`nsFT{awD0iWP$
zMi;RQMTU%>myW$$3oW2OB=xlZw*)iGDI_8Yem->N*m<!?<BfNBSj31H>q-2nPkgJ<
zWzZ_Ro~G!oT3T^!gN~g5(cUZ3$q0A`9EX5g>S+eQRVE~8-Tb;B_U0J*V*k_}NHb#Z
z?NWrw#{(7<54NI392k4Mimkg|h05<MB!aiigEcUiya5~K81PD{e6_mjGe<hHL~?4S
zLXcAt=J#+Bq9{)KUTER722cVxuaNjcyz&bRkCTd1TcJ3qI9N+wSmLB)BYNYcScAn$
zzXhbRI4S+=L!9(HxPPzO7$0rdrs7(=T$J=wJfexukIS!*o8KWH(MBp8BfVbhWr+Q?
zDSFy8ef4c}>*mVjWM%tgye&FA!uzh_%n4Car2=dNqKrbNq5(<$UXPak*1ItL(b8Yb
zw%vE^!_iWWVVPLza-*0X8jYt?)sS_u;Cy}G*LPn3E37GI$$ad_h?AZ@D|zA~ltvSd
z&FzjiNqz2%SQDXx#h*F?M|lx&giKdKBe0}`Vhlt60qijbK7hr!jwPC<mePB0cI9$R
z3~LT7^d+LM;fz1W=w25H)eWzjVx9nBI#9kNcvA*e_Zv=6_fOOgD<8lDhg4m<bd35(
zDee?sA_po1hx<*ZrhlS7IE*da9_{f9BzQSPqdj+eC+dy%<jz5h_OREH#mUO@y@q@J
zGbs`8VG}g)RAfXAmmUnGYvIzP+?#7gvn{~7La(tubh-VYmo|r1dmo!pkXHMoe*n9@
z@c}Ga4NDwaZMo1?ThZJotkAx0^t@LU+E+4&x)s{b{S&n#$_L0QG)qkR_x=GCISo|p
zfidMQ2yQjDe6ubG2Df}57|YJC#{3dkK#iT?ov2rh<<6m)8au;3lM-r-P0+wo5s$1I
z%dd-JYn#EShpp4yk@R*}tkVj*zI%ojgfeDJfqnXF7~FThHsaSd7*YU}pTkk4AMxu&
zsEc^~n%V0VQT-)9`GD+?%}WzD;B)}Thatt$vG$6%((1rRzT@5TSO<@Y5gv3gj1A}2
zn``6oIC!w|04(F!MVd%{CeJ}$4kmkoS&CF)JbNyk+z9)dIf-Bgq;I$$cXd40Xu?Mp
z5Zqe5-JoBs^lR*UB)%b4Q(W(4xW2R~uE|TV1$#d;ov|hUp8txA`bh$AnW>NDT<L6j
zZ;^?L@cTX3Xf;2O_U!e{<C$PbLqaQXe?Lll#5u$)6WzNnj+~rU@uyDb-vraCI<Py?
zDid3OKRk4J__0W{ungs@1)aO8p5;?dALx_+oYAeZVJo`^dKr0y{j)SpcU9H?C=_A;
z0(9&IiM;$0p^TS51CYbZZ>e`67Y`u`5~8kI0(#ACpQ?UW;Oe0qxDZ($xOxv&^#`s_
z#lr&yu1JdE4nIf`+0mJb>+NU)0#%rlgvv)%IX2<WJ%lX0Ko>bT!<{@6p{se&l|!(x
zC|t0~X5}(%v5}85I&)815$D5ca_*|CI49o+4uz&QJOMg(LPO##amk2t1{Q}nTk4$<
zCK9QX2Q~oVH%H4C{y!EKes7l|eDy#;uRJ7zJ4#?k<kbPa@{owwNDGBTgsmnwI7>)`
z<jWfp!5S<iGKuna`Tp=9`qhV!$PLqR6LiYd=vcKj+PbMzX~qyAiCgVacsg2bOf`1I
zbqJR1DHkodGAvpWI*GD@lvjlgFf>+a$2%I$THN9{iw;Mv%GC5^OfS~KGcfpuqqG*k
zR!*x0&!83sT<~5dbc+n*6L_zU-c^Ht(c2|lC42c2(ieF(s6PsGyKLM2<USmQ3FUSs
zKr<BHlErSq8%SkLrt^#hviR$7DHD>rup1++b7?A^vlU_P%S&TCD>HrbDrt;knNo!c
zA(o*%(}8%v3xvZDdOtJ*V<X59`XT=Sc83)oz~TqR63v)NDQ9=3km+KW?)Wyh<%YH|
z7=48qD4tMG=w*tJ5q`#Sc7Gg0!o6jyuBJCrx5^7fD>JGyBQ6K1RfN3g4|Re0wI4J)
z6~ACJ3lf+=`3JBI3?INEFj(RcnE9|LFp{(KLS;JThh3=mWbjWp$*K0NM_g!({3zE-
z7&qfR^Wj`pT2jrych!uvD2haW_DOrDBX*`AF*^;X5xHT?Ws83RyR7g5EV6<n4p}Lz
zTy8M>nzgiqDwpdCKVvu_)Mdp*(HzX;%7}}qN2I*y4|Rcgo*y(j70)4p!vyAK{sHU)
z!w0Yk43;<qrl4|pi_w$8zrHD#HxhWpXg-{aNK1ZQjC$DYDLv}3I>e06>Tuhh|G8e{
z9J(w&LqMxi>W*}N*FQ<Sl=1<xFj%}ezwi%GLfYVrHIu)UWkB%0VY1&AeRUa9S`-G{
z?R9l?pnrf8FyI)$Fjy1{0;DMv#bk0{rhS5+4lhuSNq~8ul_cwHv1j-PFAiexYq4CK
z+!O?Xccp*+Jp<2n`~Qvpu>-Ixe-n9TEyCr{-0z#YCc5RHrw^mtJwUv*Y}*FX#>p*U
z$M+-Z`)WLz@Tf04&Qs*^x%}9W8}&WsD(1k8D$(X@ExLxe@FH~KQLsR9;c4H2-_dMz
zrdu*nIooceVoUBqUJWL%@Uu)2Eu<c!!~c(Xl!$$Q$*BkS_5U^K`-?y=;;?VQMyt68
zsb_K6OVTskhG+=QCJJF~mR{8e-h+;saceprYu9d$qp?P(-foFk?I&tY5L*&WX3Xo+
zTIHy>LFfwYnUq3uvV9^L7d3|SGH8{F+kOllI>K96q-~kTzNN=)m2;fkDfG`qcZSiS
zuNx7s{W49@T~&1m6pGh=4LWv$Ljf*{OeVmU0mc#FveY}ZjKE0dcS|(~on_7>RsXKY
z?}u}MS0cZELsk8e-_w;dEvz4~=4km`*_qlNH*t}$@)krBqMWs&9&_bl(H}~{Xtk`k
zNS9-`G&u!A1cR4BSB}+!Md7O@J;bi+T0CM;G&*xnSqTOoOOta~Ro6=LGhkY1F!)61
z*a;1-6^Tn`tz=+vtQAYWC|5cppS$^WVHKET<gbDyIgl1y1xf@1z7St{6X73@57|Ye
zQ%KoGHX4Vt8-j(*$$YUct|y!z8j!uC9gD)(MeZ(glhK`9+?AD4r|G$?mR=bx=-3Gk
ztqh4wW@Ti6ajXnWz0*Q>5lv#!)l#lKtRQnP`77wU9Ow(Kpfi+x1eTC@AJK@%1DNpw
zyt-$|^`bwNkkLl+&S2Sd%7j=jZzEW&3kHkA7fjAZ@^Pax_Zm=^%SUK(?y9Ai%OlXS
z6B=4B5|_+!$-v@RE|z-7S~n6+JS3yL0hM7Pn4{z`gg57anpp_mE=4xc2LjAAo=t@3
zqQGpTH!+K@S1-daxLB8Hw`3s*{AKug*eK^1r{pdlb9LP6Or{4e$oh$R)(^Q1#HlK`
zUMdN>RY498D?%E*5`QqX$OIjY!w=^eLeOK56}&6{)FR{w&Ygmd!a1jG`Njd$kzH_c
z@TAHrDxTEfS5+4fcf7Jp3_mZwp11=6kt@V-zmDJuf5K%`DB(}I=_Dg934e5k@Fx6W
z4VLit93YJ){L!yIB>X*jtlFvXESJr9a#%JWjZijKZ-mWnvIY0NvwQULF2*#Y?vi%g
zth5`=t?dqE<vmV0bThyv)%eiG+n+=Ca@n@~rhPbvjx&*x%Whk9`^>HIuF=BoLjIU#
zzwy81UO?vGTO@tOQ`=H(k~d>FMrzxkHmP8aLM7{HsjS6|(iE-vP$afE`mIm>Z@p7@
zB%^&08igjKJ?bC89>?GVSi($LqKct%JG*i}pk=$jg=HLbzisrTi*$(>^w<pYgOOh+
z{EXr382}6kw>DRk(cVYhs$wDaNJcCcV3Cju_J=MQ`(2^~9W>iNuo);pK=(b@2l@xF
z3kDy+A{bcW5RCLBl$8sci_JeV#UfL!h}kEdMKEs0{<BL3gQ192<k!W#5Sud6^FmhG
zH=``DOGHIu(OuDNbkl+I7v3cVaacykjsA(+<&zJPg<~P@-3AtQ{}9C`jgL|W2zMm<
zcK<AWK;%lDh(y~2FKwLs1uX7<M55n@`ie)Q+3riB%$IRpk{gL$xfv}>csmWQTZD*S
zr!9lamJ+F7llu_S!Q_p8U={Y`95G%z7px~j@Lo>ZUI_+&pa_oQEc!ldw3^#oJqrd8
zg0&S5p{+qttjpmCzKffhkcOu*$2$9BFlFkA^mWiG6VCkyc<2aFVUf0V8tTgk=aMDG
z(^i<pBPE-x;U5~^8J2@C)*_tyeVU%Ts=Cz{3g`YSbnFC&Jc|;UjAt<ejKi~NskdBb
zy+o*M6o48qTc>)@6@vXt4p@rE@Y7V)AA)69|4WzoHT**Wab>LPmfTzea`mOURJnQU
zWRLKP9|>JKWEYFVWjD11t-;leMrZCRBf|W}@%1!0cU4t#lm7yCga%hngN~ihkmO2S
zGLoBt#UZ(tdIwwhpNg-o6lB=!CtrqF<-nGaVQ-hh>-~2DD}(z`aRUf+sXfRRQLnt-
zy9<dK_j-4*QO<s)c)d>+<~JB8l{VgnGTs@3*XPL$rQ{=Hd4o%}P@7aF3N-^+xuXdA
z<S2b{fUIz?B1}EzYC+HV+l!DVtdX~3qj2t~r?6{Pm!Pq4154Axk>nTc(H{+-WLfp4
z4DDB9A0m#yT<4izlE4z5ZihAtiGJf)^(CWS?{%{nH<U8-wtJH@uWq9y@IgY!O$n+?
zz64N~3M~Qe=n0P%2#dZ@tUw&3q-a}W1+*o4V+B})#R`^Q2EXWX0Q%LBSiw}>+)?st
zvVpMz8lh~g;Du~{?Z)&dzma(pD))&Rysp2!Q=1%*n<M8}TJcrv8N7wxfV)$gVU_uv
z%Jdq)uT$<#+{<tA9|z1=)q%bk{1J$wW!ruF49!I2RX?iiNB?8N03{T`MTdtX*k8J0
z-yjJs9*RgoN>0IUj8Me3z6u?esr1GBHNnGWoZHKkrozXqJ<~C}$cvdH2C^9%g~mXx
z^ABM6pz#4Lu5K(*7lIN4c|z{8wY+2GZ=_?j(->P{ge77o{=xG-nLCIN#x(3+bB3sU
zw^L&&Po-{^SjxuYdNd=K%e6j)WExL(y#LaVx1G>C+2n)5F!%Zgu*)VNz#^Mi@_5PS
z!^YT#P$-Tk)u{CZZe}Z+4-y}YX?R)YKos1lp?6t-(F=n25?DW1VGhMEf&IRJCM7O`
zWfLs2fb;8O*vq!@>0vLwBseZW@i)@f`F@w{>&6h8y)V0eu*t464dVh?8-ywN$&t`o
zKLR+X;w*UphuJI?ei-DUmm9!2<O($RqxP;w#4YCZ{XlD(<XUn9a%?a;KA3Sh&wV|J
z!wt-%3B`z$wpW5UXBNRxxJ{mfjaGAOwP!(`6BY9@8sc(6@tiI6vL3gw*!FI`uBS8=
z`@6^Tye61v)zfecw93SHo(2ycK5{J5_GH6Pq{nv_bArY6<=;~D$%9liI&~{7bWLzy
zc}$aZS5^1rLQ$RsI(9-tzH*6A##f$!$Kflt)LX6#ghZ%o6o8&ETc^s=73H}+2Q0*u
zU$J@#RrN=C)@a73F4xz<_0I5;sz<O5BbA5$jHi-*l92mgQmWXw+3w_=2mrmF=mURW
z_AMeTQb#e*H>HI8uZ>RKQ&)uh{WM8;RaLl?TcL7jAm~F-*9j2`x5OtS+!=Tr!fmN{
zpdl5KyIr#c#M^A2FW#@sfh!~4-Y!J|XiGq^+)s*|N1&f{BUR16OMLOwal6y3x1{bA
ze@pCWW&8oUQ)SjIGYA3?0R0y>%Gv9b0MHYdWrJV;1LKCT?5MFlfw$1*{QQ;Vq`Url
z!2ab|6rhM4+5^xclkKM1mq<Bh6jI(}Miq?doLq!F!LT806wWZY&pJ*MvRtx-Wa-@C
zsg>0~T{*H}2|XpBqr~|q=hqXQM+ggX-mfEgC_~t_g+dwPNFh0D31!?0g4*?lGOz{<
zWwd}a7RsPseF$Z2A!A;6{zoxwr`$UbXNJ84ksYpVkmJ^DSCmsV+L#dJwEk~*S07_X
zRmJ<Y+wN|6yWP@8X$!AKp(NWDECo`kh}J+|+)_X=kY<>DZ{E(l&YOA6%<Jyr2O1<1
z9b?o737{bXL*Nf0_)S#Q#2AA{QX?eBM1@F75KYveMx*g}?!EIpbKkt7t<^vFWZ(V1
z=bm%Vx%YSPTz*yJRxz>VVjoAQYaQD*752dmcAWwM$KEp(-S8m~#Wq2XZhRul>pyV@
z->=AyYUXRiQ+a7P+>sZRoC+Td*)TZv5wWoK02PzMJ`R%hoD}intH#*I@+DP@7Ntbj
zJSNkn1TIK6BFVI;q)aOSKb}CQvf#(}<Q3#^FpCOuwnHf<t|u|@V>|IcJ|hUer53<g
zSmYgKd_GlGv6~h*t&;uZviC!dXV_c(;lfwsjm&4Ss36ORLAEUaDz7=_%avr0yz>4~
zP?l}QhuTMGlVX$_TN&F@K1Tk2J{RCr(iltPSkvQtxFhIuLyp<XX#8lDDA4tIP*Te;
zkast~59c9MSuNiyuOOeFqJkVPr<ejQkIryr#W&|R&rGVM)Ii6Eq@<LxI{FLa)r@(m
z+N69gV8Z~|k1p-26#J16MH>5AzBdp#{FjupJLGMsfco&J4Wdf@(-P{FXYx-o>T|!8
zS^otz{oXvOjp;}V^~qyl#QfG>nAlDQ>hndKFa_$vy)}kc+${`JU({#k`xxp&?t*wK
zkj_uhC&qABL&b4;Yu?m?J(KWC&w#l?wP-y<qrAEGozjC%eIumkf6kd_!|=4|=V^hB
zjt|1rU}xrMlxeGQ^iLXWbSUkD$1Va@`YaP|1f}i^WxaW^6Q7L;<&SL>y;hn}@lBp@
zAy)=zdIf<6NE1aR%y!B|CpY7{J1jbo=YTIilq@b~O=I&C?G_4*>EEn*#Yy94ejto#
zC0bL+9JUP~awfA4pJ7bFHhfOHYM<l^N8hiOAM;hZEz!hYgjl`YhxIf{0<n6DC6yyq
zdm|6`4Svuo?idSsiwA|wVyd#QwA2+!Lx5XdilPcsg`&!<O62tBUR*kqDy&%gV~TPu
zYg}>CxT3T+A#qu}>M+t4vW6*2$d`<wWY|)mC^_j$e4i^E=#n4vO4rg~1@`n|YDNX5
zMFyzWZ%QbZ087ZWmE1D_3D?1sb*<@MbUiN7#gau#5UAGYC{rI(97DBcZ%FuN{Bo0l
zYfX3`lx-c7Kc|{z;JmTV#v*bwW1A^}yLLOU{d0NMa--GH8z=*l?V~B?=_CF+&+u@n
z-_e?yqgi#W_xWD<QJSgS(jB@jSdsPf1fELOBp;?PQ|g@NZSsfNw~BVf7!ZWyq?bxL
zLxmneMJ4e-l9`h%;sfG=zZ{5%LeyWNOyxyAMBSLdN;y&x*)Tqw)R^`9W9g<<o!_IH
z<&*rYY?!3t#YX-_|8xN!NGu#^<fU>KTx|*#ECb<z!D2HU(HuN*6Phc>11SZ^1Gim=
z|Jc<g_TMSM18;FO(^eabsm^I8t^_q5yRFzA&#*05!ON%fnx|OWLN$!=+Hx3Sxh7P_
z4euyd{0?es$Ogs})$^Qv>^Xb9bZT2oW1jyK@0P|dM$zr611R8H&PI_!Y|ozND^dF(
zG{q)Y4jNt>=JkJY27`v>hBN~to?kW}2N%mGPtLUmLlzDWI7aMmT|>pB07r(oSCLU6
zh!L2uMJDYcb%Y~s%1<3Q7e&!Yz9>?@6kv+CB2!tkp)Ic<A8im7<ZQE3Ok9m(nBu_S
zAiXP9R<Zqy+g}-I$evN{4>;V(_?N0KA8_EDD7KApaO!4OYz(hHyLf)gNYgM+8%R&^
zGbt^P$~l(bg@<{wN?mdKn!JL1X%Q9VNDIXjNXr<FRnj749XBpgNgh0#Dl;{Vv7N4y
zEHyvke9Y-4#U#2J<8|@7XfLL6r8<(&Yk4CuDdaGbo)eGO9?bRqi@fd<OsxL27w<w!
zrKF;p!*VWjrLTHT9!`!>lGjqWPcGeQxR1Z17Hrh!aDKbIB^5wF-oO+;V<VWIqWY&L
z&@a#ICPBYVQU@<9iR)77Q$l%_lr<F~zD#}nO~c#K2DS~kyq0Pm#SE_GA4ug&3Z9;?
z<nl(8R`Qm-?wE)a&6L%ZoOhwGpamZ_%#*b!bL(PESEm9Uok6+SVbdE}nsV2Y!E$@V
z?AR9_z42fZ&z0TYH5{!`n_FUgYvCfPM*jgLB{#7qR+7`TxvqySU018oqEf7&YDN?1
zFJ0G|Gqn&zJvD`g#<cYr5|7QTPnVVw;uK-6{}*c@Hqf6GeLpSu>%)UEI@t7mh%$x3
ziK(ge+2zZY1)H0&<ye%p?#l%2ki$jq&tJOm=ag>6Yq{7uo@Q(OBkVFC`D)nvP@SdP
zg5l{k+5<2k$v6l=FZLZ%&8{YHgQif}qE(QvkVVm<lrnGSyQMi7-)6f9xiX0C(+Fhq
zd-i%1MI|QqlmSa2vTUsp7<%?2+326Aic8J>vDugQ_yr>S9BW>2()dI@5F+~v6kNz0
z1~hTbBs$qzd=ps0m;ISfPW`@0{{;J`oE_%!7p{cF&m?#MS*7;B55V2l2_!BH<NXV1
z2j;FXeO`LQ^+{<gmWi17lwogdnV$c~<XfuLybYOTm_%G~2V(8{D0pDjww{d%Zu*O2
z`>XU%a26|(3sZg}#U!SU0vI+Y-T5Ww)ll^PvN>Sa)AdE}RMDA)Z}d?Q5;Sop;j1jE
z+{oO-cQgu(iimF74)c^?a%y!`bzS=OqAh$R)v9TWfFCJRxKMoOBzc!S*ewxrRq!+9
z8?z!t>2WWVx8SgX#-u&>k}X9g#6ddO^;O1?q>3vw4SbL_uQ+LCW&9`#E@Td~BAhej
zt;l^<`X|^g<!mV{@@SRXA30UreXI(1<yPdGDjh7t-oAqST$P%Cda77^yb5cjR^&vL
z{t3?JSP_azOdADOBq!ZvRVUJLdh{z70Xvg!QGYu#*JqS7c1BucaPa5J64px`{Gmlv
zNo@QJ+|Zq@gFoAENDg!H98F9Rry<UzOnugXv4cP7iLa74nYCKS?sQE&w%!Q$7)qs$
z<fK$`$i$vOy2(y9T!b7l|B=`sMvvHWl1FdAGcAV)>0U63vy`d)C{7)Sfb&EA<N;q1
zrK}#Dki4Yfm@(I<S-QbhU4z_4$X$gwHjYvaV4|V)PZx*=@pvH7kk2gQ5`3^rG|-`!
zU=J}I@|;62Y>6qo1WzgWp_lv7HGb%Y{a1YGCF;@+eZM~;ZhbpDyPjdXJuPtlqnH|x
zQS}RO2k^opJ*b*Ks&Cd;a(kpt>*vg@km;sB?Al!ir|$G=%Ddd3sCONl!}AmoKI^Xy
zLQDf#)U3b8)jV?Q-JZX`Vb@s;c40%*@-(Z_^M`L@J4(?pzIC(y$h>Cp$Ni9h1RGeI
z>#6MyevI*IaBbf@il3w6XV)?DYuvNz%A8t1O0lSJ2<>u~dj3??wmr-C@Gamla%Q<d
zju&k`tJ_u<u`X%%5Hdmg4;|c$Z?}=vMUk6%2u=pE5QVnH6tQ%n8bt=amO;Q;N9)**
zr<mF?&Fsyr@JDsk41W&!>#@WEuRPW3x<Mj5rq|Hsy7S0Bv7kB@c!d;>rnV6>;yG$v
zqjvW`;ZGP=r|T&=_GmYds^^b%z2?r#ce)1t-;#_}G{?d5B^{e~IMxI{Q&a0+&tHcJ
zd6K0Ju~K^e)>KTYh}MrGm;MAVH)=zWdrLARmD!)9KDc0%4i=f{Q_mkaRcpSh&THU!
z1HV^jR?pwy;HyhcLuqIo$Oo!1G#ZFtod=E>4SeoEYZ{9<5amy(UC&mcAb*7cp&D;=
z+Z`noJTR68;3kviSSoa5)?dd$z+KCw;g5nkuGVeX%3_;DYEoOoX1%7wb22HZd&)7x
zHSqo<m8CQcSH*@tIzp$U5VSf_2z}aLi_XxxR;7(q#Epw&3cFv`JJRzvu`g8{ma93G
z1|v+RH8A93j=B*3gov&ut%BrO^AJSSXd7Pdy~|#FeF!?Pb)r+T)Sa~yGKX_n3aN)*
z(><@_?%Tb4VPRocXUWrTYnScJ?`~+vb|a;`yXSAD9IPqGp?F#w1La|0)*yW6TQ9l<
zoSkr*^;9(!5>>M$sK&!bCfr?y<~3P0y4N;Q#fYcQL5mum-kVwDZ-q>@l~6syL%oXI
zAqlz1pLCZjPhC`WV_rA$2l-uP+9djG-L?uvyS)p&cEP9(>^J|Zn08&o)iq-6*1E1j
zg)s13-!PPng~)xh+d&l*n3VXLVm=St1L?8rhSh`&1QWv)O%-l;E}3ppYtLy7=;{*c
z(lyOPX&dW+f{rR$TQy8YZ8RK>b~(_#m6~;|2gBg6;Zp>365?f84FF0ICQro|7cu3a
z#p_WK#Kpr*2~lWhO&4!&`csKeOKqc61f#TO_+yyVqQSyfQy~Ap^)T6!hd^9^go3@L
z4$I6UW?g+7p7dn#`dWQIj#v-##za%{5C<RhbLs8RZ7?1C8A6wUX@?BAZ9`(odmFov
z{2%{;Gxq=;PR0=`gbr`fR{|tBqBmQ&tN@!7A|oq7CWx3sZYS~_k>`nQUIns^$PbA;
zOXSWWkdG62iO2~e?->S}A@XY?za#Rl)gadp8CwIgp2#Ca9wTzr2*{g>+&2dDAQ5LA
zWP!-KNszOMyln%>Wki0p5#+Z-oU=g|iF{=X$Tx|6`y7z(6ZujN<Z&W*ZwL7l5$8OR
z1tL#g2=a9z$9ICfK;+LCgZz!i1$#lJiM)Op$Ulg@as|jAh`js`kXMPkb`{8<h<xY(
z$j6A#6LswUME0#y_DNZG|CL=cW>_yfd(idA<C6fB;PJWvGf64{spcUx*9Ymis>DNh
zIw%k(jrJVAaFa-SRw^(|J(5T^64c7dpGuSuv+a1~Cu~fYC1RHOqp(Em!#ZSg$Lh9e
zLb=fgcq6OdZFkB3K&?KEedX&hmv&SKvokc=g%P9*cR>3l+$9%NZxEc-!gmIcpnv57
z=(}Z51?<{E4Hna7OF>xjnp&HKfjx>COS_`hwP4E77@*f(xEQdk(X)JSxSZq?<Z@Df
z=vClE_xJnvB8SxN910z(RWy5nn>Sx|{p`WntH~aapE)xWx~8r9b5R<mp*_@&&8?g8
zlQ)OOK=W4tTfGF40VBoqcE&UI#(^1ocu>Z+W|1R@r`K&u@bpUj6g;IE&Qr~w3jL`-
je3=@Jg~80~jTu(m>^9)W*z;uYMjPbv3Gawc$h-anPPi_F

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.text_column_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.text_column_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..dc5bdda274092098f04be8d76c8507bc5819aa71
GIT binary patch
literal 106277
zcmeHw37BM6dFb@abkFqcGYo^!GeaQ?4Kh6tkw7adBH%bOAd4DtQr@n*-Bo9*tBR^y
zvk-Xh3(3uk&nfk3ATAh$xBy0s!6+Ji5@V7teld$#{GKL;@M6r<yco@MdH;X*d+OX%
z=iaIst@$3`N6)Qu&+>2Q-_CMhJ^8kY6%#A)zj$-IS*g~K&IRRiy-^O^-FR)eQR*y*
z^{9Kid){lhcXVgt=~i&0-RQJRVK-g@HA<Cgt=tOh-GkkD6IPF^we}ouzos3QqH3cq
zn^z_)Q<XIbyR(()crvO+wNQH%pK?=pG%8%#sCAa>h3i|5#VWkV>QH+%zJtp4N^j^=
z=%D*k;;Ci;@I>9p)_A%o5vZ(+r#RdP;?=ckJ?tLnEClhoAc|Vmg-!(cB7Uo?<u>B7
zrc?{sZ7782$$GHNp4OH-P4#0TC>?5ri&&=<uZe;seATUNuFO<6RCZQYRd&T>@6GM7
z)!uukT@QnWy`_ta%~pc|RoZ*6yRp~`n~nC~=Lb>1v2E=IfZKZ+pnJ>k0;(e!T65x|
zJr@BbiX}=V><wSfwc3F2?)@t}3zZe|WVK!nk7|@<M6a9)2v*Jla-I$UKNbEz7ydsF
zkp+6Ssuac9cy%+Vwz~1pEjP-YTKLR@KNQ{gBGzb6hBlR{15r2VRGwDZqtWgCS?RVI
z22rOK78hDUy;Mn%Zm%TWUK{C}$L5jfK!EyEp|O|+U!eE|P<%R`2AK<%T0yg-Q9Ztz
z$}=Cm5Y&U(v39jxSZuTkz@h5lYPl2C3c$(2k!l1}uK+-FN{B|ez*+%Fb8~D8>=;^i
zYO-7j6u*K=>Ve8`oDZoof(&{N2=w?cMo1GdXpSi_p?y-3OiqNUHjp1QQ2bovBUeka
zR4)MkGRVn!-S`>)Gh$AS*0oL!#wwWSt3gSZG=USkbp>c*cvEawK_j6!X?5buRQI!}
zujWze3bz*yH0t36g+>$gb$h;mwXS173YXKD=TSMFg>g62-h+C*5e0^NkEa-Ygv^Sc
zO6I13FEu}zi>Hq+*XG;J0FBMsW-A0$dN}N&C=%#pk?Yt8#z9vkxQbH^=(vH=5zH;x
z4Pjy{lkw9sNQ<C!rZ!1-yegd?v+;V6qCG%+3S+zxL8dIGzeC-ORBo&M67uE_#hc3Q
zRILE6(-c<|(RE4~1s-})63qYR0&^{b$zWWIL#2cFYc}w<QSeZUFNaass#U?BY7C)0
zd(RX(QP?z;z3M$~K>+n0Wg|*roV!JnTB~URb%=Jv>_?J952RBlo~U;Nom<GM4+AOg
zr=qx>;*WziJ9RKYJ@a~EUN8urlB0gcHEOeW)KBwKcf=C~qpSP%t|}i9YCB%1bd;pi
zhGqyxw7yh43O<-dTJG%Zh*v=)qyMk!{iho{@N&b&a$`BD*1Pe_<}vV)pddQd1U)oK
zrN2w7L_upQjJj+jZ~~6aGykU>pYK0|QMDbLXT2UkuKXp?=g)vE7W({|4u9oQNuP<^
zC3kK&Q2sZ)iGlK$dL#mQlQuSh^jBg;N#xaNH<Ck=NeCz$qw1cgM(E1p8kJWy7D$rD
zY#^P;m48X0T$nWQkMv;4<=&{L!6j7L2Y?*+0N(cryyF>%h2)~C#C8p@ESMvICngX%
z&rL5Y{N$<72q4pBAa#b4pLY*n6$3FquN2ZZI)Al^x?b}e7}mWalc<xV#I<ffH4f=h
zRF|B}6N#Cb7^|=FkbRV>#w>BtKZQKNnHBL?sZ<-yuoXm&mZqlSiOYppz*CY8H76P3
ziAIl7B?Ozy^kEu6H62e?>ook;%p03q!mwCo^lRJzfyr77I<=^HIH+~PByjO5?M}1V
zXhp^La?pxy?KCjdz7rH3d6f>c_hjr}@x3r>xpT-J5UtI@0K;Dh^ugG5!LWea0J;Vu
z@@~SJiKp_Y^2!sHsd(*Tr&eR8`Z((Ia%C5Sv3~-<3UJ;~;b6{RsZo#g{E7%sW-HH?
zD(5TD3m_3OUtl(3{*@`Fr4E^zR<#t=L~fuB-g$fO04u%`e_UHVTCKnG6@^<wSIYf*
z<-rU34X^-Uh`wb=J%_-t*y#FJb-5Z<4~I8_p}d~wEz(Bgx^hRnhGVCufGPrk{;(l=
z$^^wP5LgUK5H=5|<2AJ^_<li6o2BFvI6kJJcEryaa2$mpSkD>qdj@7ntpj-&>en#$
z13ZL1%tJ^BDNdqC*d+Qm{Nsw><0<OWlrp*|ntdjZ!4R5>7LL$*=r}yutW`_ZsCy@^
za3pBe;Zbvl$i3KDIXac&2{k=1X_?=&D;~pG5cL8Tb5IN5w5}-Jq68&g1(UVwo(89g
zX`oGJD$(SVKy#r*$T#5!7v$6si#(2%Xy($E51J)kKrT{;xW7dHJ=FD*Nb+act1fBZ
z!Gd0wJ5|!iSD^tFG4j{&R5?!m27A!)<N`we4&PH<tkE2FpH6f9>8AP3g61hIA)l(W
zaBba6$+Z^^b1a1})kPa{m?80fE%cR>?>nIB5cob^N;xGbF<Z$uP`Kn|mY#3yIYs9b
zvvtu;`i2({kyRJuXVv_0Sf%6XBJ{*TC9yI5uuM<Q$1~P9uw%$w>vR9NkW<VRQ;yct
zQG;SW9@n2l+P>Xcpq3Yx26SJCFUv6BVMm;+t>i5E1?1`sd8w1RX8H#6@#AXntPGgH
zA*5N}deklif)S8vk18Qex3|NnaHLW#RSK|-5)>lEF1biDNEeD76~>Omtn45mw%EOY
z74XuE;hueUaFK&r^|nyphqeNx4MM~S*5F{Bs9dN<?Xb2ek;>Rg;c=MZ5#_~WGKt4@
zyl$}?*2+aAKgzQ~u%=62YyLBPgUh|VrJ2)QcfH8Dw#8J^izF)4O#Rm^c#xPOe<%LK
zA}~ytNJthM<zqdN!t3=55Wa<x9Y@4u8nG`zsIc7ITq%>Y5Yxi!jdWe{yuzM6g#%as
zT0}@Q#TVC8Hu1Ql2nowZeM#$;XL&_rPKlQ!$wS^GiP3#(H^WkOv0CcBxyNS$ElD0=
zB>N!zL%q?Jg;}L{DGTtG?kT8vj0?evc#A+MTy9nZSn<>mnqmYIycR!`NPW>5BpDhR
zYLGm}fc`uMI=!myVKN`q;!n~XZ!(8Oz62eUN8yi^W|*!el3)|(^`qC0c(U+~S0C3L
zPCH$9#9Mj<MpDW0jzgjIrk_QeA@}v68Op@HPzO4{hgKyYfPX|x!8xvE{$if*EX<-M
z<;#au_W3hi`$qZKEG?S`<Uy_DSSCuj<jdcZ0+eVgS0#lpo%!kf6Ego}iXTK^y)uul
zbh?@{PyRrMJ&|(c@F&WWIGpB<12Til`gUmK^s)75>T3WUo%}|WZj<%Xq2qK~QCXLS
z>XG#xI;F_ErQVE7KqSFpXEhK~v*-RZ;Qvy#rwdNc3~+Wy-ix9#Lw>`f*SlC%G*6uc
zcdu_^RbTJX>uXt6;e1qf@!bM*#-#Py3sku!z8a;ZFq;y4q6cQA1hs|kg4|mLJ0RwB
zbuq_;RNo^c9V?03E0eg*Rzgt_Z$?GK(v!R^y8G-cvchUM0L$>PA5z??j_Ek(=WOM!
z%H4^aoLD-7WoB}#Y#V=U%r+@-YSEnvha|On*I_|l&YQOE^%89^d@>T|7Q?nSOCa@?
z(6Z@sQn%!ewI90v>rO(#?4~*mA*K$Gxgt$^aM2drQWssxJ#Jj=3vO;80K8r@+E!m5
zc8~3`hDNqy_6$vkSm5qmeC<u>CTW?j(8L6REj-!;A+JNQ4RM<~7ZuF8!daY#ok+YS
zIY<A*8|8k3E3iooI%R7`<UK$S@?Q9pnCav<kxW@u`eAwKIQam!>d{L`Jy<9jTRlOu
z*mcf_&H}j~uoP;8&-yfzgC_Pqs1EWVI)G%2ln2EUws1$&&(qShn9Fv2+Xnd#zyf~c
z0-*|?d>4Pxok7~~HT4GDDvQgJl_K@=c;G&$-Mj|(_O_zg^YYqG*oRbUl)-R5E1%(H
z<0p3zYNj*(__!G)fe_UZ4wHYmX7V``TH$iza9Au?+rdIDEEgAR!P0zTp#eK@FE3mj
z)Y>5gDbFsHtFQ`;9{X%XIS8<BhKv+CNc>DHpe?Iiw#)4#Y>;iooG0%S^F4lYe}Xf5
zs(m%SO=h*tCfjYp2u9goCfRnbB)x69t76~yaW*spW32fB=^JmJ;U2*52k-$bJ4^6Q
zA`tzEB>8HTW`?`PO`tE6xbHXm8ra=p5cv69*H9W7LpsTwLJhDqhcrv$+Ei0<B211z
zH|9n$v8%?-5rE;<It-IkqX;?Vzmmki%?(Rz!qR^e4FfT0EA>Q~aC~4#8#&WPea$Zv
zbzvV3QQC>@MxYa0ms=t1F0Uu@d#j}qwYjVGWs(%X?j(hdf~VWhAn=pJclc3)ybXc0
z6GM@lOhK)Yd5l|o%o^PY4?ZJj4E4aKIW_Gbn99`cyMbCYxymKoDNIn)^{!_Yny^!=
zj*AtwWANN8z~-*PVym%SplcI+eN3)V46#QkAmp=*?vHY;M8t0>4o!5?kHe+Dwb+6!
z^Z%YCiL;q-K?MaRU16`j;<4s}PB9NH>3@>%fuBkK0){02flq&lPv4hMKY%BTugSs1
zQvrGNG%pbAl{r&2d;#hhIGmT~b2vEwsU9cK1vosnZJLP7-l#jKG7!@OP}riuk~Uh2
z6danl`QM!J{iQ}IJPb*{C0oV6Gj1-jBpTJy%7<MeUoeu%-${b~M51nUhumJQA{+TJ
zc4I{HnpxNpPt7w|J30EsNobb32Sqmoc6O<8)pR9~11uv`$u@Zvar_v|4mBiCa9OY#
z5`A~-SvOE8fUatCF%yfNY$t`Z5FRz9M3D1P8fM73-a^4O|2R)tO8BR6jDhg4gIvCF
z@L3Lpyt$`nmi($#7O!FKkc;W^w<ImqjnB$LSFw_Q88+I*=h=P;g2>(4&^*f{eGLBF
zk@W#fJwsjyow}B?fUkrvmEicMG1m10R^>}2mw5Ebmr4Y|g_%&=!#pRA{qsbXm>!ZG
zX<h;xTckTXj@kT#TLDVuC$#X1`U&(Y#ZTZSG_Q|vRk^yjIE0K;&ZQh2eE{#^4$V8D
zh%{g!xg}1(gGuo}Ew6ggPQ0=e$e?x$1}O){q1V*B5Lh%shZ$7%BRR!>1z4JH&)nAZ
zO|tFyC4?DWsQp(Nq4J4f7UjmQc3A8A!x)wKs!}Z*6TJ!%FiMlM@IJ{;n`f1hX!;Fk
z<eO-E&^>@X(ZmO^q*m~aF1uRNE$>NooG87Sshqtfsrv;3+VnWjGlh^7D!-h=?^CuK
zFxqopj6vxJNjSoo)Oi=}Rulf+4RMy=s@ZzPTJEvoI!*pg68i}^vF(U_lL6<IGyM<u
z0CrL416V{E-=v80rX*oFMS6vFt*B@0?b<k%?AqX|mX`38J2jA>C`|(ZNeuyqMVLjJ
z&`yz1kFVec)=pMFKrcyHJeQP=Irj+J$-xH6OA638oD|yLaY~9S+<>}BVa!FRw5JFo
zxXr#P>tApJ>P%U?Cj`KdNLlwi0D8y`Nsfdy1JIzSCL_JNt$$riSS#0wyc4HBIwIul
z5Y3863a(8N>wFf2WE1RPb|SAwAfEF)i(tPI26x3roK7M|Z9`uXj=UB~GO~P#zNvwF
zff$oxf|@achPSWh>KK^PyG20HE1YvREX}jM(%@)^Z~;jPHpk=LNfGP`;hX2%GP&Se
zU8*edAaZqve8ii%hz%aO7`v@p+#{#-{~$*f=--=OnC+im&^PCE{i+v9@=`_nxh%95
zS%%MGBPlZ=`_3#wyf5L6vz^Cm!=Jc9j&48}si~+@SnL%ndI1-+|H+NWhF8xqHcFF7
z|CKk=`bOLPp%p*8h-n7C5&tVt3I^V`DH&fS{2IeZCpRT)sY*c>VIFO-k{JDqF;u#r
zgP`**%KwXko?cZ~m6^8V|0{HyPC2@rPm--?i*gUuQnn~t>YeQ)LXvQ?S9Q=o=159e
zThdQ7WA^1fltm`+j2X@)&y3lpXx07-KqeIVT#&yd>U8SQu1Sh#x*#C9{HV@Tv627O
z--#y)bZY?13er>v@pe~|K*#QSz^KczU_=>p3AAvTZjDih`H&g4UL@x6+9J-ZM47~$
zGVG;U&=U;12^;w{EVJiT^9D*+CuAiw^E~muy}>>Tr2-xH;UwjF*uS2bnn=1#9Cs=P
z!jsv;yk|;g3!hAKvNxH{Na|SfMv}8s_Pg<krn2eNXj0kNW45=5TRDqxu}-y-cbBEe
z&cm|zRk;$#a|R#-B)HE|Y3bfxA(Wl1<XQ&*1n@(56w)=Z2)S?>{A03J{OGtXgZHq+
zSPtLZQ-LK4ddia;@-aygTN2lu&{yOnU%+mR<?#)RwMG!}TR4TX-ZWoG6epqib0;)<
zP-<tZf<q}5@&I%?vhdI)-(U*q_V<%O)@YdZ5a&+cFn9jSpjPVCf(Ser@Mf4YgFRU7
zV7Xa?fR`P2Uk)NT^bU6fx9Kuh0TrJNeFy16$`ttyLOetM)myBPWf%^hEG+w$WSMsN
z*8T(6-E`G_0rtS*_O}i&q!iQ(3wU_H-maD*Em6k%bMflvb_1#%368Z3d|PDUBD^LT
znYOM3XZ$6<hT5lM;EJ`Bfj`d5K=LDO!R{<jG{~17kimdEIM{}udTsU5f`iT2Xct#o
zeRm(k+vHS2ZBJ*6P^`9Bl8*L<Gvw?nFjHr+04@4Bjlvm3+&rDZ4YX?iI4$Ao_jmuV
z$bz15|DTPG{8=(d%^Bl@k*$Cf2Y)LWL8FqFc!Q+}09o=0Vq84}cmigGO2*KX!VQ${
z>An-whBM^4{`CaYk$Rb!t_-y$H6S7YF@-Zl0K!~JW?CYEGJuP>aHnr)!5S<E_+@;e
zF#vrUO$=~NrwLO#9Kwc{oJXwK_yc(SP0i!y$dnh0aLYN|12bP}!c8zid#==Ig>$TI
z?ne5G9ahS--G$D*#OWr11M`5V_|N1dya%|MuCCpV@4IE&@jKllXk+YUd5RB@n3hxL
zoBSK;C!D6`P{MX;B}pbdA_;AaPExj*d>k4j7m(A>GW~&j0Q;&bAHcE{if?qG(zckK
zo+|liw!_gPNu{qDqoyl#-JUoOnL9@ITe$vf$^rup`?@kCX1Wy+fgWxL`KYa1%knBN
znW{NT9zy!`E}7=s5JTOLUQ3^|w<IUmOef{XprD4TCns}4<;Ue!0IkaxG*)qK98r8H
z?*cB3EKJuA8gUKCqjN4DG{C(J1%+Oq*JmB~jGL*IrqONkYCRbcxvEH}lRe1r8S*r5
zzKZ~L>`ppMyF)2G%Mm^yE4I(gLR}FCT#k))3F!bicdyv~oHS~M*;GwW7j4Us2caGh
z^IMWjvzjI3;f+=z#fC-^H+y5HM*-(RD-{KZCD|84Y08o;zDk%hL-i$>WF3}+<Kw82
z#E%#Qr|UwDr}+Zy5=A7vs;)M(1XQF39jDWgMpKfAJqxrwG)!5bwbTRl3vrR;f$z@9
zLQo!NE2UE{5fu&M5A>lD5|l5t;xzD#=jLhE{z1HFKIJ!|J6-V7nTp`@#n$&>BmY^u
zjcKJay}FHUun<0}?Umwy?Jcn4<5^&)toUt8G&gRX6^PrAS&=cH@|7&;36^{r8~L+D
zzdSd^)zYg-mQbDegg1b?A|S7VX1+_S`rv&O!Z)E?mw&`;`3(6+|9WCNA~7?`fKwTW
z^op>?nbIr5S(3c9q*o|m9Sf}Zo+Vdyt`o@>`ZSv4%FVDK1sA2jac{Ubr8K}jHth0b
zd7I7iF&oQw()9bNrIsB@LNh?h<(a9S(u30%U}Ar<3b(@`)_g%uoCRWDh_(v5fg;Cn
zljo6>g~>_x3}Bs~q870nuEky?Tg9Iqx3yT4amG^YCi6YZLz%@%Dn4J*!<OoB=c5!Y
z$(7iRk=vomYc3(+GN2MWt5KktB~(X*v_kk&8?BK<;pI*gQnEEKfkrMRDP#uY{~Kss
z?KsF8>4MF1Qs7Uqx(q8gug!lZQE25sq0YeaItcP=_W<^U6Cc2maKbnG+|v?H>$S<w
ziD9_zus&hi8UA*o&vfTRH=>SoQkI?JZ)LQ!po(u2sA}|1zqIhfMk@muJH6dNK%itH
zq~!xskGjY9$mR@oX(2<y@Br*tIJbmB@aucJ<8PffJ5P7?g(2JNj&Hjm$#J@a0cg-u
z<6^I>>R%UAl{WRQT9OL@k&z|FPEU0m#7#UWfqAAWr#UVUeRr?yh1>h#>jmoeAbLL#
zX*b~W$lyQ0r-XynG1vtGyY3SoG|1denjUi6deCh%<W&5}cMAdCr!xMo6Xne|j`#^l
z2cDmW$|8zA7aQ&3?p4Z04f4L8n<Hl3cgsHyy(rk`31W2%+i`P2;fngPgDg>~gbhEX
zt^|^OPJ?aTVfp6SWEQcnr*@S$3G@(mGqmc>9bN&YDY-*@rOUHvH<P(TZ6meaF?qSs
zongy0O{`@EUrNDCud4ennKFW}fR59tLo<SmG)XMs3@gus_MB#I=fRJY-|$G1V@@&I
z5(A5$QvcB0$?Nls{+bNbB@L+TnPwqxgt|GXyAr>0#=<RpOk#Lf9t?fxy9(y47?wUK
z$Ng}gaeoUMx#A*SZZlE#fn1a&*Mn{of@_{V{vUY|<b(xJ-~7A?zDcN!lyteJ-Z`3u
zb}3ECpxCzsm}hf5<)ft~+MnHriKwUer%0YjtGdm_i&@NCn0>y=<4{w<%kdy7<{oh8
zW^!4w1siYRGw^WM6z@7zM50n_SPu~yb8d^Dl4Mj{eAnPnx`Iug#bWj8+Z1){fk1qf
z5Cx~6Ta9!P6OsK$LcL}~vb%JsH4CyD8jWNoPD97()S(uHktV6lS3w3(AW5H-IG&jY
zN6rE_b!mvprNVYe|Al!*-ZM1n_5{o1=X?nave%=9dPFZp3t8%2mVZ7<Ud97-0=mkC
zs=u!KXF3brGa{j@oL!2K#$4*rD_`G27u$1f<0-W2(3TnxXA)e#)Y!&GeIf#F)BV}k
z^N&Z<W7)bh57*Grvl3;wcf_l%k`%A%AQNxOf+k&^d_A;qsXo+_oO?))A#*R|>f~=`
zK~KbW@54s^T+~<ps3tTtCMXiUisTWsnU8n_nAf>W4Bp4Ie4H}OIp5g|b^m%o29TJU
zWWcRL`0-DX9LTgfDY8A1x0cmO8jm<uC-FU7o%|O-jBWj<Por6#d?C1O^z>)mbDuI}
z1qVN$oo`7}fH1&f<SAN4QFR9~nZ8APZQ>2g8dZ>-GgBK~9-DhvY^7`)e`4I07!`f!
zVxBrAo4D0z4PV7I0^L(3;<mNKv}2TtTx2_TfCH-uN`3@$U}R}%tI&XTq30*ZnRzt5
z`4b==MlsgZbH#C)thkv~bO74S!WxV|XIbtl?Gr-m3inHatxTa^hEMb?3w;`mLc6}&
zhOg4V8Q}b<S=tdCgfA83PK%ssO#m{0T02`)Yofc^qw{!Bk{(@=pDNK$w6Edti*QZ;
zPAa(@a?RHRvQ_;1KXdA>-dToCuBD(RzNCnhXwMyB#W&)QYpX}A^*KSyF59)B?ss3S
z-mrw8Do9c<kaVzVJGY5YG$gOYZj7B1Q;flkeQJAzUaX&NnK&vK4NplRk2rx$*&ES@
zM!qLm-ryd<zR=AFu&lP@n?&M8ZKR-|AWU(7>ANK6zi#xD?s4i~uVXs_9mDU0!aFDd
zjS=lD;EWW?-kB*qeQ~#8>sDKS5Or~J*Ct`c)qPTRnCm0p7qJfzB`Ny(VN*2ASB^g8
zhr77C&xXDtGT8^coe-x&Dih&UoE$2Xx)=MoJXqZe{rbT(`0YtIwK`#;x>z_`fV&r{
zg_fxYR~0FR<ezcG8S(@lSVU&VMAK#jQXTJAIEkqKkCN(ImZyF-q~M=?;oPMcKAGKY
zvDm58Ed%oY1f=~sTI-^@3w>(2IuhpQHtg^luf7Wh{>H2C?l&~l#KAplx~nNWNB)yZ
z#rLyH1^Ewb!7gi1RLyr;gMM!#PgUzhQiN$jX2YhWk#owg$QVsyqg~uxNZARXNyO<#
z3$x5e+#@d4fQ=(j*ydklOs?EJJczTrfz=Z~e-EVXU9;Z>eWk3~<Ew<>H!@ttS_Ggb
zgwSI9FEKiE6PTajc{&9yy{hgeWLmMm6gp0)4P9@Mgy~rh=%Gu>a)71YCbs-u5PX+H
z7@KcEr<(1Ru{1prrc-Cg8GYyl^+bXWWmgaCEnSL_jZD$1LrbyW3f<{qmCjxSm#5h4
z*vNmXZ3B}g3|avcV!a_318uJq8*FcZ6|c<#GtHI0iW1F@8_$;`ZbN28#(epEvY;ne
zayK^eXG!KScs}e6l&%KIerV>owS>FWeH6h%&|#mI56bb6^sgr-ACfK;$DLDOoZS%y
zQ}|%+M*K@Z!ef-2Or-i~K8cakksU{pvt-gg;S)_J(WlWQlMa9f4|^_$mrBZcKMDh5
zfJD++$wU(3G^8}r#AaU|D*{wJi1Q=h9@EV6XT~~>1eEMaB25W)u@sW{DOEpp1GhNo
z=1w3f>XFUZ&Bzi+=Qx2(NgzEL8u=!WE_M%KPayFDED0ohqZ@qfWJ<;a(hH5A(#@-G
z5{8pNx|$Nu7}1_UVx&k{zhcheL8jfdZnbb()WrmnO~M9DAhm~0(JTq1h9B-Cfn-Bp
z5t)1+wAaWINcycIT#=yD4PSpaDO4p*9{nd*|9z83J8j7$(7EAK*plfZcO|KI$-7Vj
zXUKo|7DN{8oJ4eg8%G_~v;4Yb+|bfTH{r#oJ?SI*8FoE?WUr=WnSAm`zhvZ(?47Ey
zwFHvAsvI9{dMA+XXHxNjtWrVl#TG1qr09AA5=fuS0;ve0K7oyPad%<J2_$khPG{!q
z^sGVssW-HGaP(Ga)tf>3BPdPDAmOWo<sT%2^bba7hAGx;Cgu%z2I=b*xb&*JpO7ho
z^pDVSI&EkMNfM?fgVaNplnj!ko|z|-iqw`tGTSR_X-W6cAoh!W=!K-^X$ury&mi_;
zT6Jg{q%*f9#VVb>2rkbc?Zig@b8S1zAaSc^<dEzy6)WuT!OC5j1#-%eJ<y_0_CYWN
zF&r{OGUkyEWI<0bW<NIaXH4ciQpp=AT^W!cfXwF4BPCTORR=}N9;d8Qj=!RRJ;8A#
zT_%n@6@bVi3A>pok0hK&$w^BdiIUWjN5c0kkMwpxjOCH&(`fQY`wn$lQKJpM6}=lJ
z^Q|ofaanNwO_l<J)FjgQZC6w%(FDjV#dirIze0C@hN2+WclxPTw36E7I4y`Q54vb2
zQsdI(&4VB`y0?)&)kIK@Nv{vdR%1_VZO2rCp17%279?r*sKh?|jwwYs@@edb@>_9k
zoA|m%y*Wo8FS%H(4{leV{?J|~A^T$|WNABBZ7?aNNA87AN0uY7$}>i*m?apyovTt{
zAex$hd2&DJhc!E(1+F`IazM0aAC{15fwb3>`Q!;4XofuQ&3_~@>?k4kVG9QAKS*HH
zl>qvNd=W(82AxPrR#HP3L0E9$ydVC@Feo!$Kfx!u3__n$%ohh33}t0bC`G0vQ#S&~
zYr;Bwjw5V$aTEP5@m0%VP#=Q%n$LGe07p+ZU1RqlQHD-Gv!#CqmbJ)lvQFQc$7G!<
zTaDkxS~VIgbG2I15%)RLA5tGs(>^OP&Tgg@waB^H&2Y`sB~HlF%#;l#rEth*=yYUe
zsz-i>i5l1WO3l+Y&WC>HX&X0BC}f6dvb~aGNN&IZX2|v4{1#?uE4E-}=~@Y-mst`x
zfmxE0tE9x&EG@yH%q&&#iJB$)lxCI~z=N2jYnH=ubtr}@=h8eIKh-obB~o$3Ci;4h
z=q$gQe+}omh^W)KuSX_#$X4U`Z4p5;s%({_hu|LtL&O2%r<`R}*}p~Non6^0nvq|_
zZVY9wf1+teyoQG%YU3&$|2LfDr>S(?$ZE2ZqtNNdRJui4g;F28uLB4PVH)!`&I_wr
z*Eh5mu4+eB_>Lg^&LHcg03RB}uMVPfD+7@J6{R$iM{x8R@(FK&;5vVd=PNa)4=bv_
z&T^62n=NI(s+Gl__qzXa7P^Xb@gHKNU3_-;Uo%^W0w81xG&nezdXeOHq7-=kwJfmF
zyzSpW3(rhF;^3LLeT-J^zjTr@Q~$#(=n2yQ02}#}URSop!XI$K`aQg@+h7E*YY+8Y
zeU^ngF|NLL_ff!0t!vU`{YC(!4>Kv#*Y&R_lJ!WvOiWkS!?Ic@lJ#P$3fIEji03<m
zR+Y@OB<s%v%-r9@!y3%7yb7PFV@aP<982zX<;`{6%w};hSZEi^;o&NN7ke1Fj~C|6
zeV`|kgk}JT^Gt0os0~r-GU*43wKO<i<=0B2TB8olF9Lh~W|i)KzFfA7KmRkg8#D@!
zM&dj%U$~j;OF_dK-JVKkP*3)kNxCje3T1ax6?I7syD=Qq0h8yy<b*8Eg|)$?^a;5c
zIvtq{+gJXDLwmBwB6YN0%K6mSy}jm|Fyd}Z0Tf`P)&WmfX+bzcMxEa>yVVbU9@sM$
zHJ0F}KdTo!wEpCbAn!n2X2{#TMNc@(Ck;m@0sXg1j#j4Q^$WE|=}__3P9qAt$Gb+7
zUvBn$*^Lt`R@~TGh*|-Blw$$DsvVY>;9K1EhDPPTvUC;f_^Xv^Sfe-$$H|(okR4SI
z!)4X=a-kkBfpvr*aMfc3cLcW@9VopmY&F*HTZWn}NQ#a$Y=dF3?0Q}D`|Ty@2s&JZ
zBUK1jqAGmMy$W{|V|kShQdYgMyRp-ROCZ$Pq9eS6vbU#o`(QI^tJ#p>jc1zLCi#*^
zZ8bs}uDnDzd79z>lh<I>u*j?C{s-CIzd!5TC--2B-TT+T%()jH`?%cX{cIdD$-sYQ
z9f1F8+2h$iYVr(JKbHkB5iNZN8|~uOy?>y3da8_zY?-5m<V5VK1T_9i7DQ-(^JQq!
zk1KpbAR_D;;C#xXSAOT4;x%)!ltW^Rig<t{?5d=HZ-C>opbJp)1zmh%3%d9;ngHjj
z<wiODDK6&1=mP{WiDf0)RsMYWlTLxD<CO-`1D5Tw)fg^|Qi>S?%4!q{G5gsMInilg
zcdo=ZdjO)SMb5!)i~wYP4gAMj=)N6Dnz6*$#`%I?nuO&UPFT`H4jU9|hLg?E>BvHk
z9*Gqp#`rCSGU=fq#a7OTz9Ge)tE=D?!YZ8z9;91`Vs}gXpfzyF*h<O>c`?E@L$31{
z6A>PaH8)<QxG~C1dN~VKg@Y1cqg{OV_jgcEqmc-R#%%jMT{MJtNPRD5AWp3Ug3-x>
z0(DJV(8AL-K~z0mlV7A&`@4=A6Yj^epeH!=7Hs6tA*!=ysm?x+a%I+bjTowMW5x46
zZ{TvL-B;6L^{o3o7}UtRzaNU|QKE@i144YGdjuB5tP2W{8tu|o-gV5#$Dx_;=6^n}
zH)`fLE=<&v`Lj5<RPf(R$&`)?Xil-{fD)8R@SUTJMF*kPGA%j?!z2Z|*C%ImcW$yo
z&M=?+d-z0sa{4qHpZuluCcTKc7&Yj>!@G3is(i~120Q~e>`&A3<wmcw@I|S4{QMNX
z&s2QUMqho9*OzkFQ2v(6o;s+Tw<o7<y3Fd1{Ce3c{^HNv%7gcHrUp%WE~MDpQ-OKe
zJ>^M~?v}*K?(-|cl3myh_4(f?(vtC7!FFcS)h(yV7y3P?tDuQ+0O)fP*o&ROrd(BV
zAv6LjpncSHUJNlYZ`g(Bxd*UcRlx_aTvdT@5@trb>r_kwi|Mg^>FH%gPwA4c8y?qH
z6*#`%U8gru0vaRQuc~0ANLTt|TH;j|7udShj@^p7cvXc>(vnwIs4r#p?hUZe^EE$3
zdfwrOxVWdnhP$FLnS$O%7So=QuGHmMJWnc}N@L!&TsZp1yq8?rs2>hnQ314g^B63s
zw5q{E4VGG91!W<Cb&=+=r~<nRqGQcay_I{%@-~-Bk=%!nLav(wEF36fu4<D?M8PK?
z)9z7B%M}{ymw9q8L@$ywr;f-cvk+W_U!TB6ySS<BA0S@}wy-eEB#R0Vtddco!XNbG
zY)}EN+XY!GRl?Gt!a4A7P+wvxKI7ACeGKcLdgG(VCGUY&D&!I$UHc;_O}oIs7{;`H
z$tytDDcps@){BxH`KHmea|(#-9KJz8O|Pok(k#2e$m7s)I;Gfk4s`4!#;fsS0D&v}
zk;L-Hd9dURG3;V;<Y_5cVtB123B%@7lTJ-K`7m(g7iVmMMy}+FPHFO=fTd@+OtwPD
zUX+GSIK3BV805r#gmByOar670NWp|3w<A6+ZSqNCrB?xsZT6@PdRmnJMS#IYK`ly0
zMdKNzKTNCkPfx9Dg;A$PkGKc{S;vpQpvx|irrL2|CJEseYFv$tc9D-Esdx8i$9Rir
zPZ=0;(*yYhY|lcT-ntS#R&9pdk_AM_l1RXCQ^rf7u_r4KD=$_g20*T$ynzGKcXRY~
zi+dL`aGJhBmPouQUyfu!T3D?J8%gK@8FIJ2H+utIX@XjdrU^}+yb0Sfo+Rr@xCpH>
zL+;E1n$C|Y;Kv)Fu_r$en{52R0Te%+^Hk)sgexN4F?S=r#w?sp=^<G1SyVAPZoI(v
zESvQZ;K{OC^l3ENtbOf6;gNdS{wdygAs|RiT#esJd4&?qr#McP={E$ZRxsc6)S9-9
zmrq5lM9xF1AHL*02}Nv<H(op@Ta7)f)ycB833`HGpb9w6-nQl4E9iffNlLuGmSo7D
zNK+&vU&U^W#q$Ao@BWh$vb3di8%#=(k<UV>BTGA21sg-xvAp_1i4r@6_Ib_^YkI+Q
z^@V6}oG%tvUzo4uoF=PxfGo|BmH3a>_7|QVAfKZ`NOK`Sk-)nBd~U@AZeYcvBrB;w
z-<E$*&bcacIzY_q*ctdlS7qo^iXGzsgT>5!^~E*qs0<sRhp=BN=NV%*e!3kSyOWm!
zp?+3OKW!@7<hNlLdked6!!DGq#_z19pc$pJvS3r9ocZ74r_>JAXk97s&Th06&B*hx
zo8cO*7ds(KGg>y7l=>m(L#HD%S{6ALCTo1>F0}!BI4}ActnEA_z$DKwSN4}u9LX{c
zGD8k|^IaIL3$O*VtQ85Um$4Fffw7Vjtfa-)SiKeoWyb1t_(Y8reM&P{4B$bG)jqn?
zP%jN*dvDGUp9%=l4c6FQQKnGpXR>tvRJF=)wC?6|D-s6j(yJS-cgj}d7kDYE8D<Oi
z2EZa3h_*;GssgDisOkEU#6G*}Qj{Yf#BPRbx*l;tmS(zaFezn3jzgy-GhJ4B7RGCw
z=P@;3Z|D5zXTG+`gf^2vxlY^rLW&~!3+x<D!g%vsn60;A3ud;yECEcP_|QyTFDUQ<
zvn8chNs6!8`ezuFnXPZ(6E$1(Da~v#fCn*KS1rR?#GIGo1`%9TxB$mg;db21^6hnl
z(NnDz(;==aoHl7&A!tuj-79~4l_-Q{5q*|2Le<seX~6E(Al&^apb6PF{_UT+4Qx@L
zqw`2~L%*JnYX-NoB?I_Z-Py{1z}rhMhQ|YqI$z5MlCGRL7v;7~s&M8R3!KOY=*n1|
z+G(^(pK<z<q-!G;j^VeF3L$3uk^ADJ?N+;8Si*_h4P2h?#>Ku{%?$*A*Goq0R_LqT
zgKK+EJPFB183ri<3oin`!i~ew2)Is(xWU4@8-naq)Q38eq<n)Lk)e@tEs&Bb2!oLC
zaF3szkZPb4Nyd-3(HI&TS5xJhG*O>%kL^K1vK?+7pwm4HT1z45MK(?r3MM_7G;dj%
zL~;s(jTT0=BtHa~W@O&7=?Mr&c}#6H^^t!pT~KmA@KEgG2G<4ChiBdaONwW~1LW^@
zj%ZG)=m4Bj3qv%gbXt0H-B9m~d~X%Fq2C5(GOzSs@rin+^eM$F<)%OHB~Vu_2k;f`
zT<&B+;xT|n8XO&#M~Xf5c%;0LdZh52obGF%l;0y=E!&QvM~YM#iAQ>xq)HZ#^h~4G
ziS$SjV!KD$gNv6#b%`4nyZLeh;qQ^Yz&*H!{i-~XFkYEF(!N-D5wPgSVQ2)@-Nd9?
zxYZ3ob}H&a`8fi^A?2IhhzyOC%27-b@?GxnvlCJcbRx<4kQ<Gmk<sRne$G9%2MGuB
zNSPoiztZ%7^lZE`iDU<YZFr<V0e9xac%)$7#@8dIwwZdQ6P)+<tgVMfDmnm<)WQ&N
zkMuhL2lGh3i%--erB5UBNZXy|pQ1+!qYud=r9GJ*sVGE`6rYnCbN%W0J<>I@?f7}5
zlq!ZtdNw3E`sGNu$8SrHo*~JR#T9+B(dtCHq6o3w745;r%agjyjf>rGxq<L^MfbZ0
z_b^<8xT1Zr@FL)X8;7A0Q1=g$`XF*cke!P9P<}qta7g(pZbXJgO64IY33<1B{Op8O
z17#tjpChF-IXNBSHXNyyP<BEbDb&hi>qs$^LLI5qocXyODbWEqQWl1IJ5pZ)IG7{#
zNBBe?Df%=TN9smM?G@$4vqiiHcL<5TYjWiZ=Xzinz{%RFFGQO-_9OwfT874y?vB{<
zCaE>P$py#0E6KfN{dL(k{_NN-S@#mvaL(wuGE2AGoUi{Qk<a3M{m^K2BAqXUSYJSK
z1-gp0<lhivLqGp5l#NV3yJcT!>ytv_sP6t6mx<iETXX=r+rlhw-F^NULU%t6pQ!Gp
zPovV^)%wql?lxf=mhSHD*9e!l!j_^W8N^l)%bTR`em<}%?{=f-%C=*uyL%~?O?TfY
zk<X&LZ!ub(NZpMP`|57RT5<z|Z0PQ1LfMJY-92m?U)|k<3g6XvIhTptx?6Mry4%7m
zZ{2+-z`^|PU&be@yXn(tboVO~K6i0Bgd32`#d@#|*CGwU0lz+<1D+1l0NVVinkViW
zz)<UF^r;KJxvNT2(ci<RERU1^ZrL{e!*O%cT{JW_{xrR1ydAY5?4hi%`RpH+v`E$a
z?9SOF`5!Tw4XpUtAbwdDgc)*@S~l+%;UG-hV&vBU*bS&X1;q#G-4VJ9sA&xFH|_zl
z=a}dic?rQ-4Kr!tpaJK%-Eg`H;g`Qsvx+=~V;MH~T~IbM8|$f&gt0xjW<8CV?&9pt
zZFNNlV0A6*^R~LD%?PXeBz&S)mp+Zg>fWsMVLPmar9nPssBdiBH>kOl&<tQ_cU$eO
z*0W(?Pq7d~C`RkMq)xvG7?wA7+9TV>pBrD3s*%>PrRzZP_dlBPTuFsgV`{M=FECmS
zY)dm(5QNyi`q+buW^U7uW)$7H*sY8k2<z&jZP(1L?y)^A@nE}V7#e=YQq33g90c1i
zma|YcGGp0Ktq3c5l1yZ39?$2pk=s0q4!}HG80Kvr-wklEp!7ZXM9m|88jX2;S*IPg
zitR8;rqhNIkiICNg|q`SfRQ{)Gm>eY8+LMsqaL`<X|I#k@^`sJ<q1F^mTluNjGMJg
zqn&9m**=~=XBq!M5+dDT;yJ@4>HpMdHMqgVG5kU<gxGE{dvNhGn2)=0u^UV`5Z(s!
z2kx;)ZZH`deg;!b8S)r{Z5Yf4p=@LZ(?i7wn|bm~XKFS-$|WSX*%Tds*|f0D+iae@
zQ<%+Je4=KPK8?m~zIdS;wBftxt=8}&%A6mnF(4VhQ0m__=;_t4keh84z%=%hCl&J*
zz?{4h<mIw${OGvZ#2#uH#&GpQqrt8zo&_TI9_hbc;+|>-Sr<uizszVhupMNB_!&Zk
z*?0L(@s?bNFdNGIQYagl@^*>6(Ap<~z)^KQ&jlj4x)vRPy0$RNTV1~q;9ybCoA8OM
zYx*=Ab-f=xm{7#evJYjY?K$}Z8wtYzDtfyX%V_->%6U5Z3N(sVlGG6I;R2B-NV!Y4
zjemFC6tYGkLltjgaf!T5A$?`+0f~RAQnuW)@;gSWfpsz+!%rn6#P-;v2N$o{<WJnV
z*kcnn5Z2g4?W#^n@Beg<?-8FErwP<RSqSPEps49WK7w!?HtrozHZmJ$*BipRjrHuM
zcI};95OUi!(E->s3v;~f+NNE?u5HFAYS-w~Xzbc`sK)ByQV>-S4`&z2mHBO(gku2v
z_9Vl;X?+?tZes#<v4~}qCbh*Zuq1Er@f6uM{?s_yI*pLI?cL8y8f39|&oNq^NPCA6
z+wENsE?)NTC2m~o_RbANCVN+Lk3V{Q$8hnpcWTOzOAv0u-kk|$BeQqudPLZ~v7g1%
z?w!R2BDdWW9e~}lFv;8Qy&d3S@!UJ`iP}B-G#a~iquR&7wowixuFH9ZsRxz;?4N#&
z!_u!|1Gn0%K)h#pleC2oa>2<H_kBpV9lvex7K$16aCNy_iX8hPAC=grT0z!DlHiXS
z%?37uY!JUN1!4A0#VPKRPb18R+Wr8PjZAI3#b2oIu{*_N6FREC@8?31TYZZTKz&=7
z<*mN|9pGT<`+N9A)i-?_jr!hyYbU5jRs0_C5H`N&OvgzW22j^}SgrMEsOjnCD@@0!
zlBAZ{ygPr0vR<|wzjU0U2h}%~L*kyrcpKfLPCue}u>bzL-I50B${9N}_6wY2G#gww
z(?R@{Gr|l}fEIwHZ&ts|4X8Z;;REz;R<~YXe2sgE>@h~B%i?;8k-lO5<!(rw#DM+p
z=2g=@vZHY%eLrJu_&``gLfd}E|Kc9ogH?m=XJpLsiw2c;BD)Z5!>yQtvXQwJb~P>B
ziLuLm>dKP35o@^|<aQ%O2jE6nnB(n6d<fuRZp4T2iMkQ=X*6!cwaY<Ns=zLc4%`Se
z1V`eEe7R2ziUC}S9a`oy(WBu^tT$hRJCP_$Iuu{vqLC-g`+eCq{^YpjJQGwhBD_AA
zRQ$O_JJpA<EbIN9(Q059BEzyCLhKvfDW;OIAjpOu{uGprOb@5YxX{F7E@e~~Kg#7G
zw=NbPfG)N$$Xge$KU3)94fsTLF?|}1F1{MiF%Lrt&*xLZIQ#(GceAE_SyzVIT`fyN
z-?AS`Mf+5sa^A(Ivt--&W8<c18C?tw>vtIHVu^OTqU}9S`z)i?;EEQ<@C(%tV*7eh
z4=!H8!;NlS>=BF`2=Cw_bdNpq;DMpx7d)s5LY|Ib8%Ap<l#R@2^{576t;Th#QZu!i
zb3eD45*>h<varP4OdSU}Sjf=DCu*kX(`d}pwe4WJSqqEp>TN@@Ryjik4T=GbmhMg^
zdNgd;dh;cQ40>78l6{zqMxK!2e%W^XLI#~8W)`wf$nbj-?Q~1ldrIl^MytUsng1yz
zgxEJ^P)sGCM34>b`+g`Jnf6VSaiN6AE@Vhb8P&!2ayiJYi$w>Zi!BWD*2UiiIG8T}
zH+-VHm_Ch07rzje?gRAphY>d9{8+O9VE`?xe<D_OXQ<${i8r8sRY6kuZYbmrBi72c
z<M-KPMIR%S=(ij{Bau#3y|(4}vyEm0>)tHO@d&f8@>NVFXCTam@?8aGBU8Rs(H5F_
z?7n`ii5OM8lUxLHt6k9ns9g(dyw&cD0S=~iZ@?$2cIne-)b2G=bx1ePJu_dbhK@gg
z!rh|fYIt9Uww+YPplbQAq@F#*nV-kWU6O6%hsP~l!zq(d$=)V0&ZJ~tYcxBdN)}=E
zRkDhs<QT$iDA@%l8<~>r6=$Jg$5yzgdM$J2=T@(x15mFPrg*E@2LTSIULV3Is$S{S
zXw>VqQKc0I<zhQn{Ap$wG$;m8wR-fG=+RKP>&=&#VbIHx%J&bsXyj48UyyCbFT<cy
z#LO`CI|2SxiFdjRriaLrr2e|mY;YA!2k}dnBh0=kSn-wo6~b(&;Lk$Y$W(Bem<vTb
zc1eb$piy=FIV9@N%BtMzSabmD*uo%hb-ej3p^mrU6II9b$*GRhmkEGJ<UaT?b7iIy
zu=Tgf?S}AB*vQvb!WXzFOSPcgwtZh2Uo$hYOTtB;Ot>l=gxXR-%~qZjpAv;fqdlcY
zt+QO;(`+>sVSg(O#6JwpUKiNwf_NQN&V}u5=N+V<(^&^7tl}tK09R$N>?}BD>r}hZ
zX_a8j^8%F8iFi|~1DBE1qarUq5N{AAwQ4==9*Eb%EniW!zSQo<Tg#172R7ig=N4Oy
zdKA{n-FWIHL9G+EyT`kH@8#wL@$^zy4_iUhXhHjFaQDM@1POHbv7QZ6guV~K&vpD~
zr&WVr8>2?4xDb>M;aeDP65whb>&Dv_8;z*mh(hh<{)u>F8!l17<9tUK8?EIolx%_}
zxoQ)3_AD<$(>8QD!%E-=Pg+tuQjK8e4>A)#h7oxKS+JoMHXE&|SPKt_weJ3v@w!S-
zlRqcpt>Mus&?*X|PFqx(j3>+CLT3s3+jJyo)qz$}1FZQnluSphpcEof-8aW@M!eaH
ziebIfC_^n+J?un_doJD6uEO)q<jZ2%YBgHLN>DG?LRe^=LQvs^LA<%qiITlc(q6jp
zF5`{S1$hxjXuOH_t6&hVcP3vLjpHqdLmLPMeoC_jICbNVwV=M#36?^jco}}L4C~$a
z6u8=^(JB|qVH4y7hN)6YPn8<=ML-iMQY{yot#Gl5pX!b`1)Zo-R7LU1DhSoaa%Z`T
z*UK@%1H#e*$Ww={dQd~wZKfqa-Fh3@uZo)Ouv2ank1nG~Z3&My8||>Dx1>^1ii(G;
z?J5(|&Bb!H9W1~CkA!lKm=Ki<;thaI8z6z>vW+@)x{+5a;#_Ta4|d}n_ymK%rFd8e
zIE=lOf#vI4!4dfrM06|8Dv+G|5(r|gx?GLAFI@5Uf1ivuHN$2R$P&VAEK!nez><Xk
zpvUPE7b;QIY|roAd*sNGx#lsr1-?GlXf5q6hllq<&Gz1Id@8n}pg@aa6vCPn%)M^B
z7RvWL^}>sRvYT3qC1V&YQN!#M!$fekOna^xMvHWqO0-;qA*Q2X0cKG-s&x0Sjdy`e
zE*ItWl;9WJO_Y#3<1OuD^@x7{XQ@)FE>%E&SJxUS`WxEI0Zg=8J20=?K&VsbZ}ziT
zYm@>`+Fhke08<DU&*mFYnUWA%AL=w=h)tlBqG|;6XL{gHke)`VT3-Yi5Q<?Ns)}}J
zAz5!rxV#X8%N-qqu_|F0L2sv)YK`DfF<cI+wPH{%w?e8a-W;zA>xa7sIt%eyrXpZY
zf_PQy<tpCgRE&bwQV1#sgkdWT1mY5brUX$ahl}m*9iYS#rMUfp7DI1~^2ZcTi!v==
zgN5vwoP(C-Z1~fL3pt=TI@Y9(>5BvH%2{`GXX$&eG0&<@$5RX#rIIHrQ+ORkMSkS<
zS=1-0=!^A})%J1&Bo+<hufbTAUGe+JAxi<Do<~OoP^Vr><zQuz)K&q(ZpA-StKrWE
z{PQ^e`4;|p?Iiqp6aIN%4gC2S{(0A0`15Z3bHO_Ja}oae(FXXlawGiNhkp*>pYLyi
zKR?1h_ilkdAHqMIx5A%O@y}8Ga|iypc^mwBIsVyv3jEoQf2Ov>pY{0Xv!}wJ$MDbj
zJK)cS_~$tOc_;q)A^w?w&l?l`#xcR~AQSvZAHfg#5&Rq!!B0jJ{J03g50DVN0-fMB
z>11{W{@@+31TU^5c)1<HTaXCeltl2Z2!i)X5IjXo@T4ulgINR*ZxP%}O>n<8!QFfW
zcl;6DB0+E)1;OPyf=ha26}W^1^UDMi90Zdf<g@q(eeq7bQCA04mN%BFU@&nqfPAwO
z)cT?xn>2a}s|QmF)W`Bdqb4;Bt-9SPl(nZ5Jx+^JX`^k4{=tB^BJ>zeHT&XkR>bST
zCebazXnfa$1I8}_2ft*^mAG{n%8$duena;L(5lU#1$r9hbQ{be8&I02MDcoAOclub
aYQ0qJl))l2mQZ)BE2H(~hK5P>-2Vfl5SEw#

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.unstructured_labeler_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.unstructured_labeler_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..98d254f8fc94daec655ad8822d9accc6c5144761
GIT binary patch
literal 30575
zcmd^IdyE~|S@+uBmmlj#lI5{>dh=*~-Nw5u4G(SNloB^6b-D>nT~u7>X7=8>J2Sp_
z=5}VTy_*u^7Sh<_00rOhkkZl+2`DX;N+?qK0}y|JQ2zk}ZBm3ptBR;CC?F9jtwiAW
zo!6Y1J2Q9odabJ4NY36l&+mNi^PShF$){Tvckut%fvD%W{`#WTYWYFSjs|R|6*T)@
z+m8oV2gg4$czjT2v!Qh{3i@Hw9<UuK(RAESE42N=xdEG_;<4L_7G?eE$Zp1N;Opwn
zq%-AApBvPjSvDEFamO~Y*pV}S6o>t0+z;(m?E!1m?$}}Np)hE>C`k2CZTI`^b%JL^
z=_dyqUUYZ^o9bDBFdjIE*la@&$=SuG<VaT7?vCr*gO&cO#r9Zn9J;Ih7#N@t?{Zra
zjc&Txv7!ix_&w=cUGZzC)$b)At5)-TXt$|MpH0Ws8f6Wf1I~i8&pG1ka*ncS=}csY
z(bD<Ix2@Hs=Gz**Fz|q<Xz9U+8=>6`qNP(-Y{_AVO8_`p5`ZqXkb&Zak8n}_h!*<>
z-WnZ&H)@v3Ert<Be)H*_{Z(fNn{@q_y>1{~(8GBHM(W%G1mA{#Z^XZ2_;;K}4a9{m
zA8VcM?pba)V0U$cR=;E4RT~4G0b3TePmEL9nOcblR^NGxbHYIB^P5F!+qQ_u8mpn@
zH=Pt#mo!$FO0nA8SSG>%H~v~JXpe;oP-OyCnPszJP-`u;dX7OEcJD)if;G#xIvbH2
z)!IQ=vwFSG26f8m9MvwmF{HL;0$USfK%qq;HS=53Rw7gP0{ib2487vqOkz{WK}4)~
zfbYMTiKKW9#99=3P${y)VW$OWDgrT}!`KH*6(=>EB6FQ9m>P&VhG-lgu$3{YEf&Kw
z$Q3q0ZfKI-un<jyU6o?r0W*M{M&v^Ik(3!_*fYi5)d_m7yjpJ9vtnnt_F#_;h}Ag@
zQ9D;VSz8Hw`;J<`QzIk0VC+ho8?wgYDfA-oE}D*1tH-&l)G@RJd;pg32eFkgUu;Sc
zNy(M^OhjV}%+jeQ8f<pG+gXl!78%o-UTDKGT(AcuF&<iJON;Rj-<#^Kl(k4_0Mq*f
zrr~gqom5VSGs*5Opr@(kG_yz|Yh^cH<unPOC?;W@?FDn60KGWWY(EWxvjzXQP5bFQ
z=6smw`FKK4=jXY`#OP=F=(9ur;bIw4Tvt{kJ&a#38^#O`LyTdDKq&_Q*YdzW%)uwq
z)wN?g?6`0=3=&@YZVR-QXQ7ZZpeB%St`4Mbj?<g;TO&)l8}nLIM9a@ilk0QE<YE*4
zz%p5j*y@i#mrrv^x{(uufa>*qc+f+NYhqaef?w%g|EjFl-f*vfA$y%?6SYiJpEjFv
z{zMr|wm+rEH7fV@Y`+E5*jR_xY|uq|rSoh?)ywqrlG#tO^MUD#-EIY4%k>9rXKw@k
zEE3|49u)2*7uf+X5?kS#9YYE0?%<PcNKbXZ-advlB8|SWEc#d>T74N<djYiiOO2F?
zvzjDlGvj-uWPD#7Vgn)wHT|M$TH|jQ%x0$P|1D|S^!yFfIWH%8bH0(n81KMDmh+z#
z29C)E&E~*B=hD!52PbyyC;_l=>~`7{`|}|jDN)H|S}s9{v;+k`JG9~;G#HXioYWwn
z%z*snQjpn1FeE`<ovH}YEr4g1O}Rdwlo~2^H+eq_4)KwaWbYm2pg?oAt$rtNT(CNQ
zI}H}QA?o*fK^Qlpt`)`~>IXCdz5>qmPHJc~ST@*28M;5fu$}`x|4^|adtY!JoHdSw
zx}jjEWiJXl`a6xF50oOv$z>bw3@W7sw@{aQYvmo}@~`S(m=$=ADGtVnPbpn>wm>^o
z@qHy8hZRSn3DXFCynK8HN0_>|M1dq7jnpFE#t<P2HK_OTazOJ5Av+jG$MX0%&S;BI
zmczAq1YQeh<Dk4)cYnToXk{qRD3($=ED)3as&^a!XuVUSvHz|VQ13^PowXlQWseY5
zz;KTV!$^hwFXfQDI}6E3EiD1e;M3r$jG`W0@L6bdITe*t7o*NOiz0>ylEU*Gust-P
z2v#YYIY>=|*pvwRjp<4`-*BebOuOIdaF5%$O8!*KIZE)Ho&bCn=}2zH#f-8U_^}zb
zR^ghu^OKrC=6}jUG<Ufse6;091>BEHjX2MyWqu;RNs_bRP3=rODv9&O4&*h7FyC~?
z#XQOC7=DF!h?)_;(3HenTH)T5=_l>%A|}gSXW`t!<2)fe&J^~^hTlNVEO-a-rz~2>
zrntl09FtI{&i88QEAbn(zr7bd*z3KH+jQf>6<*+?75eyTxZK|Vf%6SV(z%-QIu)vf
zUwxEq%Mb~1HfOW`sv&Wi06k#<;Z^U)h`wAHyj}ED$V0;IZ<0~Q2+`!0iXEHL6drWc
zA(X1cHLrT_pk5celd^N?Xw|^*_N84eAx_@!yRmC^+{bKMH#miOq*&@oqV_z_KSZ0z
zjw4N<YiuPU+lnCD1DhqAcbaP4e0mpXZj5u5?P<Gqr`5<rgXDx1tA0G&(10p#tZQb2
zDtjJM5vE8v_hynF3L0AQ+M5}N*Aj!b=#MZa<mYQhR)f~Y5TwZ7y9!HW$N6KVrOjCy
zeFMtAJ6t^x$$QDC)Im%c@vhY$=4(pFYbQ?BPPrjWX%KGIC>UOggIes^Tu_As+o7~p
z2)aw#(!hj2@YjrfS$^P28lC*iG*YirMk*ua9`)>|+jg6S%ifQmCRgR&+o=t*+ul?3
zYr*?P`~kA(+0I%$F|nM8l$DzFWc~3S?4TO1-R(IR*2c^MPYDz%Zc(4<K|P!4ByCqS
zfi~}V1<=oMpo@!|_D`7P9BaqJPw6m<_Z%AbehdH0#Tmtp5`;}0ABC@ZHd*`HrK_3X
z9B(0o*Likp1s2nIt5jM-YW6eAdM$XDM&OnB<`+-~jenRI^`5{V<;qFrVn~(@2Gr`L
zUen7xT(HE{SuCh#MXJ^eI{mIMB+I*O^uu&eK?;xl)+plq`xSzeulA3!fyE?OV)7+E
z+*~oCEVG-$0~HAIK4rpwco-E*K=QKEBYGv%Rj~vRrKGU@2M4{ls3|Po^C--<N5(bG
z6PEu**<#FbVbN$C5|$yX6$ndCx!bC+jYb@+R2&?g?P;{Qyf6Z@L*i1}q_=_Q0LO(2
zt;V7#S<De$sn-xiKUksFpA$uuAEA85@fO>iv#dc}Q{yYjDhO6}w@mTkTTSl^!dm;o
zWV^Sn?M1=n=I$2lRcUNIn$~x9$5sjK4aH!~rZL5=J0I5-c8d<h#8Z4|#^pNfJ-gD%
zB`wBv=Nab{sX3+!D`2J2yI<F3U)pwS*Akz60sFkh=iD*VnLDO5>mlq|$mFEa{6USX
zQKmv67&`+D1bb(x0Rkowaqkq;L|n%EHm1?ucksUyvAox5c0Jar7D6#sy&aI((L4t&
zL_wNu%maLeexD>EVt+e<7sV3NDJj}mM=E+ks6EvHX7M@H6!A5_b~&pxP&T?ImpHvA
z01Ld7Rga6ecZojv(!TLM?FV8LAg%2<4emk6Ih>rckF9qfrR|GhTtB|$x)(bPoS+58
zduEFjuYfqc*J)F#_dO-5SE3`dyTJv!(Q+eewPUv$?T)p!Tw4u-4%EYaRwuIIl-^To
zxd@w*XK5;G#N!C1N};IFv=;e<WI<&rHlwV6N7rR9Za-zMu*cQ)?<v`2w~i)>z<9EZ
zS+$C}D0yREH;R<`nQ6lQnI=xIdB|TT`BPM?x?K6!<sIZN*~kuZ)?p|oH6=-Qfb1rI
z7h}&(=jWNoOppD=Oj~KDHYe!jM51J+QFKxsWhRwKlkI=vILvfeitYkzY+_aF)zSf%
zu1b|tB)cj#$#st6L;00P{`BrNA=8-f##omUASPZ)cBi@WZ?J*D`)nTebJno1H034w
z%lix=FtxKVw6O!#PX&i|Yc-plFJqD|GSjH2m!e`EKI9No<HOt0dD(i6#F}?20hy1C
z1m)fU2)h1`;VmOABH!W)*HBW7yHUR>xj)y9O0C<ymlIWn%MnE9>y0`xK3|ZniR!Hg
zTs=^kuA~%b3;TAqkDLbgOO${HXNO!_@6n;8x@Q|{%nZxR2$`9rDZnR~)@IPJBK40@
zCCxUF46knhAYJYx4ru4u-&&n4k!|@r5=g!n1=d@%g|&-AKs6VKIi#ni_L=XAoS@%n
z)mH7Az25BfTR5JCZTiBw5S&*}M+)<eyNbEzft88rUZ{*7GZOaGs5KmF50P3BYNxD}
z!Oqy`bPRD?VosS3{hcQ5FJ~G}8xK=s(kw_u3ommZi;J2@ep8|KUqQpgIO5h`BWNgE
zIE0^qXkkvdd$)qMG-BD7GzSxrg)}h_S&J;x-hvm5pbQaF#sx_}%}_*6lPWHFwnD2i
zE~wO!n%<OxtY+29o@jNEijnYHwf8B&fUPNfZke7^d%py8#Phu;>DND^r1vrX>nZ%&
z`swo{Ew|mio|EUTj#?7D*D!Vd{SrrkqawiCOsEbrE{}68s^kz#?kOTn!S#8d!Z|s-
zL>jjYp7IYZr`)!E3*2IA)wEVC51ziP>u$%unZR6THvaf`mCl@ybz{Twx$6p!>@JxY
z?@x87*ea8n=C7TTW&BmJi}`ghR@Jb;!SW9B!veB{oQW{ynDSukV&3vYizJm9Ck7L{
zt?njGk2jU0%b2;EUQ9`-VynTeHrc!t!x)-u<_A3lt&0t@Ih+5EV7w%hcC%cbH;-=`
zig!pt^fJ3tx%xXzh5O5?kUx-j@iCi+a*Fr%|7>{&`BEV}$dL-lDUgaevC@oVuM{f~
zJFe?FY@KYLPotunX*z9yOb@&wLna+nV<mS8t;IX_FO>tEk5<{iu%zdOaDKJCht12U
z=ww_}6z`yawj9thRAgkal-moK5!30aJLtbq3TSDpvRohl!{&C-f3X~rF(Q=$zzjYO
z9vRkcqsvmHGV$!ZZ<9eJFUY$Mzx1+%U@NZWsxkIAO9wxOoNtD){~etVnTugOsn}%R
z@Ds#&Ujrhpe{8aBqXhR&Y0^uPNkJhV75h37i|?n-S>QDzlXu;Rg;lXd6B7gkpZumR
z_n2J_(l>PQ%R6wnjod<#Z0x<JHnb7&4o(5)1#gc2RN9FqCi~lRv0lzOI4$=|gh29!
zBb@au4sqVL8SJYNXN@Xp{)2$!ggCv&hN7PJ@*R;slbU4I>cul}9u<{rNrBP!Fi-P4
zXM~rQj(TP$Ez(`fq-rMRQ{{Uq<H(HR&7#(DoO2ne1#wQwG6f;)OQqwSW%nz{L6sFr
zkMQA4*TudV1=3_R^dUZ!;-aS8wy9|788lpsNgfT=XdH@$4q>q%8k$q?wkj;85yvVO
zhl0!Ylo*tp&?6Rc7Q7!HfmtGg+-iI$FIp~G$K_lGJ6_<abKy}bbXybYo?6h4dwsdJ
zBP}p`CR0AMVF1MB-eSHeCau~~e3=g_cSA8{ncb8NiQ%l|FPuJ`X|5P*gYiGf!7DCm
zGQQ`aaMex2&!KEFb~xi})C@8H5M~M(Kd0Oe6tP3X?1e?ZuGtnxGx(DuFgV2ErA?~M
z!EdY3s$2vh3s!Lv;3zLT+U!n?MO}RWNPlZ2a%1u`nll-=n2iVt^7PNwsnQ68YaAPW
zD?cxw{X47)#ushdui?0<8*kw7K;Oqzez-xRi4<!McPL2N-h4$pIJWt^V4c@CgAJ}5
zU*+T|$C@NEVQq_vyjQN=n_H7pX&N7#*z?n45c>wIRGrv{j;l5ydrM`Y##Ll;kID#D
zb_{To&CS67oZ`2SE~nP^2z8sHc)4DYYkSHe-_+WknvrQr=B({GV9>I)J<1nrdyimX
zVr`HAx;|@r4xjNgFeMD=!lNzUAPe^jIw#)17TI%KyhSz*dEt5=`?u}4eKb3CzHn7?
z4&!+7ylOGq7T@TboFJH06s#$OVWgxr-#Qq!nwe9fDmpX}>ssG8luFLK%;jJoK5#ZU
zjpwH{#`1RGmM`Nb*!Dg~&2Y{!s7)t?`JI-E+IyF4Nm?3?r%T~5qkQ@FP9R8Bvgf1G
z>mP61gg}r<qT?dp4{C(RqCO<aiV#oE!I5Mao7&Mx>_Jxsa8^zthDF($hrG{IM+@HP
zDzlOB4vu;~sv$0w_^bxD+&z?MTGZHJp*8y_%*S`%s4GjP;mX^8^Ec>J*yz8dUwr=!
z|5ae4CBX0o#y`T+@4<Z9*K-%nRv%#z5Et9!ZMbb!4SAG3ez3$IOG3BW4P3j68_t(;
z$%5aqqQzzq+KVD>@nN3DkLT#S_fp4m6eMCZ(3Jetvd3pCUzM_>eB87ImD`bj)pfVy
z_G5)TPRHbU&h1r*A`EA;tDt%%^N7x@?n)VABPC77*EA{e+<}5!H~)i5Rd?M?&6N6e
z`K!OOgPbK@$}!zUW7o|O6|%a(!ti9bq(&M`N6H6btPh$q;F7&CB|TSLfd4^2G&C2^
zUmq99OdF~^|B4Q&{1>NeT9)(5($a4t#ojAK72@~I(yvx8*{CZWOW~PmJiqIj@yvGN
z=tTPdThUQ9w7xSBtp<6eFRGS*^H7i=+WRula{b-WvZE<d7fCl%(uq52Uy*_|%27LT
zhWid`QCA;H8A{ib^g2Yv1<$KYOy!!r#My|0w<aqO@wh<@R8t$H)o9?FX<keSVYp@`
z8>2shE`?+EQToLlGybc{F%#fki({s4TezN)llO0N<V3D{6}x6HZNHF-9`h*Q?A8+B
zOgA!qkmQ-lB4tjRe_PjL+nzQ_bY$AZH|&l6){2Vzv7gb%$#a0p{n!Mt-XBpjoI8?u
zh!JR?XH(efkHyr?iKs7>_MT^XDe9HiZ=&tI-$0|+-|SRjb!m6DH`{T0^|U19D06y9
zt_N8|1~n%~bE@~x)ck_?LS=SQCUrnHM6~1YHHgLjoncbdh+tARb0<t@m{dISBEs}}
z(T;DTQ(;uUMZdUF<-dxIssMOs?ZXs>1W1S9kt?n_9I8?m_ixE35z=?X@RLx_W5bbv
z?KKS>|CNOe@0`h7L=ptlox9nQzVSxc2_C|-L%gBF-zWn%<h7>ha_W{t#Q?am{unmT
z;$1SL*&bZ{yGu-PoI5}`yl_@bE&bM;a|hL(U~|oWNUy>*^c!&dREl^Dj?Li4%@}Jn
zcnI&1e%Y>#+ZA!OaBIM(-cOh48)wT8tgzWN+m~+#;DZ85QEYX4gB3g(!ynDVoss@|
zeD0B-{jh_t{c+H2(A#m8i|!@?SBS?d4!46K#w$d4sZ3{{o?!dwSv|ksZLDL9Nq2yh
zIo$f__8QHgORx1sXmUZM-~~ON(x7L;8vJfxfQ%kx1^J}i3fm_Rvo<>R1-mmiy_4;6
zEIbq-KPTBCd))=D@E}q@N>V3V_G*6(?ak2@zVwg>+O@4NQfA{2?-~)@gUf8r^|1p+
zuYO_D(U03Fe&PhbHTp<8vtfr}5H=hHWAMry@Jyh>8n6RmAC1w<ByVNFj%IQ)O?by<
zu@*Qd+EpuXz_P4;B%P6|%ns5RA|T2EiaPwQru`kuU+ZIW9~f`pDUqFc|B&5)yE=og
z)o9uDs0q5ESMyfzU{v6@aXB_H;<j*>&2GEva0uC))sKTllEikpV5<GCez%8!lw>?0
zmM6I2xe%{lQG*9~3b5-(ME)eH7uo$*(7>BgD0L9`=mnA8Fl%xyY2x(<H*)ED3$&#!
zrNKZXl+#KeoIBV)3?_mIh{t5WHL_TP9v0*eA<ok;bb@dhy_5yo@GEXW^1XN{Qh$O)
z50O-XbNn?hV#n>e@!;J%zWVAUo9o#<ynCqj%K|FA3ey9}19}n<R&(OG7cDO>UA%a4
zvA2PXfc(WETw7|{7qHKw7cC9gO;m$}f*K9ny9z?Z{825tcjAq2y%U(73){_1H<Xfe
zb3}C$<9K+q=-P3ccjLs}4!W3)tyM@-D|QB_XV_8jWVfNkQ-j|SuX$Zz2cr#a|5$H0
z?wZrVKk)DF4qeR3_VM>M8uEdS%ec`!d2gf937VEf?a`)#i*K7CypT6wnWGS;&-Z({
zE}Nd)<Zoz7J#Yow6Et1F4IWU6;V`L+sK1&nchK&x;vS+X-aucDjhAn(u$!8lz&hWs
z@m5Z!fhR!m8W}xyd7169{R{LmCYuo|0x}8q!mdz$Ic-Bcox_>o5IO?8#CQV~tbn&h
z=mAZ3IF(Ab`|@P8*47`m)~HR-Y@+xyC5qqP1mxCx9R??2vy@CbL#PnXSc#ll@M<N`
zht;_o_wG)~cYKm3Q{cB!WLDq8bvJkRObdx8F(X_~Ke$Y$(nE*a=dHqXPMhBa$M1{d
zmw)ivQutPTej0%<0`i4n9)ICsD((_<x4F;un+(pWvmckXb8SGPBvMF^sd9o1%oI@$
z4~aq`x~oA)%M34iV<u6To=vqlt9s>?4yW3ONy7D5P%t-T+mbmu*dAzEzAuZ+$zELV
z+JR7jMPX^D@1^}(NWTiUdUEhy=n1?N2F(L5jri^@fPPpj+f?#ioy<jIuj})xAt1wR
T^hWHS7TE)-I>}AxuP**SALJ_b

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.unstructured_text_profile.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.unstructured_text_profile.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..1d2573230892656c59c18c556bb1ef1340cd91b6
GIT binary patch
literal 28381
zcmdsA3ydVkS-!n}-(&CT1!ukXIOgIxe7oyNpqRDKuX9YCBkPlm36eRDduMvKyKkm@
zGTn2x>j$<YIk8be0ylvmB@qq^v4b3pkPt)xM}dH%@DfG>BOwt3F$oGn2@wzh;`{5-
zUDeaw)3bYyxU+QL>FRp?_5FYS_1FJbS3NcPk-zkJ@&DL?u;aM?=Cajj_(8)C`)sBW
z)O&5)kNOw;$Di&$(XX=Eu5}>{dfmF+XS<N2?zpW+*Y^8o`)rP~M{X-zmgT2IyB@iL
z9~XBfohfJfY`^NvvdPGeTDJCzUHy<BM%`XL>UHf#<;U&KsB)$oG+pGPLMSsqi6~N(
z^_f1W6ipprQymMmMSbTGo2|v2amLw{?86$HXt}=KU+b+~Y>yR1U3a|~q3_h!akmjt
zzozRgD-4l{-;=)87Qbd1y-xD5Zq?6q?Iz{vvFXU#pjUn8fV1H2bFOj5okiAJc__5I
z;mWztx2^S+`rB)rZr}l-aOM67YhAk&ge&)0ktO@wT>-)2iXe2QffvY5V04$&k8ruC
zAy$h34%JDSmb)RkeeLPpy>(|7n{@q#y{Ta>*x+1;ZaUWk+8gli82;Uef5)lIK&|WY
zj#k-3$8x)Uc1t^G^jh|<l~HNwvv-K1OCy(brq-gq)pKrgmNX<^9u>)^ZIMvb*1MKp
zcMLFBVlY?o!R&0U5;FjazflRAqay%LjDZugY!(t}ZFH@Uqj7^ByEo`o1R>OdPDq8g
z${So3qhP*l?qndG0(N%^DO_`|C0WnqJVAX2g!S@-Sjh;WUKR>VX`I{+o1#7y0)OZm
z_Ab&iXXJpZRJjJIxc<nTKi+32N0s_zz3qPH5D;v{$ew_ru4|&C^y@BYW4x(_E;JFz
zzLtlb(i^Cfrdq8)xGRrW)&k!?Q3*PvwZm1egB1w(i^R%Fp6NIj#wsW{z}vBWKZvZ9
zvS(8QHzm00F_FwEaI95MGTH2AyR{m2ESh>|I$aye^t|0Cf%Q;JQ)=1YyWDg`irX|i
zf$BbiDyCwZN7VG|OtQC+EKLgiZIm<_^<+Mys%$SLZ3$fA^s@a#K4(6Ew)M%ydDMA~
zxb{TCHRo}zmeB86-tTm$_vr$w`eP=Vr2c#nsWU{XpmT<r%O~+eStK6jB$6I)+mYRE
zxtM7+2K_KqH}ZIjhm#n#aqW7|2h%mjg*e<a)@!^k8Z{F<ftyeBOgxxK{YE}gY|QUl
zI_HRMF9DJlxriR+I8dXVo)4pKVDyizDpui_+3FXHTI~$B`unogc{Wx_RrR7?mGfDp
z_Sv39qs2Jw>)3t+8oss(TTO#jnnUw!9EDQ#zoyrpKXJk`wwsNhZMlA*?e1*BhC)KL
z)q%E}<RhWavqV;R!;bo*C71(StHL(wvztd9*`x-yRz=-w#GAhcO0R-987RG~_riH4
zMrrKvm`9JNI{t0FNUGys8ITL&P+r?0>2FkvG1L<@*O*OulViJf6||~bs2beP8yeQ*
z!MbN6EgI6HcD|W|oNby3pBw0<l>SscjV`6!J`Fg275#oe^_$&LVpf%cnh5c<ETote
zKO4izJ6?=iW<R`RC<F>MS;!r)-aCpL$P@?Fz@RkpH#(oSVS7YZ_0r}Ly&n{z%)BNt
z?<po+<D5Q#b%}DmZj9T^HirtAcOM5kHHr%Pk^>t!wu>E#Rd3L-yH*r*HD$)ePAYN1
zFB6VdAslQh7*M^QM@1HfFcVbGvMJZ+i)nrO;e%XFKN%zb>0*K~u{Et;E2^EhT0Pq&
zjvWbmolek=YGK>zM(^tdv~Yh8iqLyfr@8cC9iH)djB06UN|Qw^bJn6|G~5Q568o5b
zU}QiSVSV2>%pW$jeTDCQ-I-!D&0eb|ruB=Y^&8G25p#MB#91_|xQGY?vL5)6?!QsX
zp{jFdteEESw&2`Yt%#Xq^$|hzBT^U5vuXK05v3#vg7H#{gNdqV2ePV!piH-17*1A8
z6I$<gs2cL}%(E#8n<=`VPqkx?C3q?LoGzwb%!^B6UNoR5(fFJYjo-$fqIEEv;?sG3
zThp>OH+g@IhP3HPnF4!Jy}j9Kxpg<{KgTm%u)02eY9@jAYg9Oy<eiI#DpEL!seh4O
z_DdfUVJ=U-b!}Xwd{fk0cqqKTBSvzm_dY{Eh2SS*eMBx?!we5f=DS$jysuGx3*JA<
zYMsThUXv?>1DSAMcc1S@uGMlMwGFpGMGV&1IW;t20`qqS%-<drX75{6;@Z>W;E_h_
zEZfs`?N+0fT9HYM6CP*&T2ng8SrV5_ub%dtQLDUAO{scP+!a)`;O*Znq_C8@czY@L
zf;U5dg#IRDET&{VXlxBoir0JBq5SPAyN~2npQYZ{pkLdA#goBtJ@vFweUN)Jk5`tK
zDr=Mg*Jk9{+{q=?Km15iS=X>M3j7VNR=J*3vpWaRgyiPZkT6n+VaKk!O}E~E)_V;s
z=IYP;TVgg%bl$Rn><94&P|dU5m1;64aTd@k!>&x*jJw!D)g8Otajeh{^$tx5Koqal
zquHr<r5Z6OqSSiXyH^l>iW8lmRkuFH9F{Rd@YSSgk9zM$#oq1sUnXX>B=lmy#*Poe
zYo1M3UVrLhYK_fnFmRn`2L}WuMk(W+q(ZM_n1)~QZXALc$;2__LFI4dS-rR6kFsmz
zuuo+EcDa_SR5O+sd<@9tMx_aFJdFd&r$SI&F(AAZtqB${$K)7@pJObzSUyce@*vQ#
zi6ozsO8TGRJ<XJUdZjm$SYiST??-joGZ!+lADQpWKK){<v3$`cHpx+NkrSVvRUZZ3
zS!CvFA!R3Jje?INZ$5T>6vV&{jDi8&az;T$zQtmZi6LV{GD3vYwGSU3j}Ad|V0;u-
z=~Yl2=vXXK>w?Hilh+Va&6^Tg$4k^YCbFt2UCpE03*|Tuvo(^GN_AAXn&FVI#4%w+
za_-(yRm(zf^@wI{zQlcf#8h8Z$5sjKkgm35WjvPt;W*2LXhJNb#6v8CToe5}L7c0J
zs?Nupj~go{<<5d5-21n<Ec@bR9b}Q%@kq<L7`v$(BdGfu)!aXeK$lE0Asinsf>59S
z6?h0wY2bOgsRC*|8IIn+09)Zc@P36XpXc#EgAv}Rkg^RIF+2try-!ow4Do@2An(By
z!cM+={H7Gr-n#c9dabxCje)%V4x}kxKz1-nRe%*{2BU<Bhr9P@W6hBE@5m^C_ckyZ
zCc?VMN2PZoJ@SB)_B`zeVs8fdt(+Pkn{rhnSDo8dfA49y&1UuZP8A@6Tu#u~x%MM!
z%wYCN+V6vg_Tya(V54=_hL_cmL-U57*Mi<+O1D}MH{5!3R>iw3OSe}jL9UB5ohv#f
zbuND}6~;Y<3Zq!(-Wiv@+y|*ZiR;`?s!_>W-%A!s&Lt6<AG?&T%i5FB&3>bHHLavl
zO-Xq;=62>fAv;{~UKGM|xKtR&Ep8w?j3XP!h)2*H-I~zCI6K|+Lc=M&c%R?tRvHuS
zCsWjyTb2}rhIZKJV$Uy4544znjI%pMYmsCmRz`Z4pR!L7tMne^)oS6&YXh|jC{rH}
zh<m*BEnW(LvKaL2j(kE8S4zZRE^Z)O#AO2+B2I5|M10N!Mj|pOv@<GS%K7p~sj5>v
z9X&LeG*nKMzBmBu!%9t!J)9!;wPIqkVU-OGLNdW;Qgb-IQQX4laEL~>3kCF#n9|42
zrl9z4F`-3Jq{d>QwC4yT4BK;>VOtdJJv?E`t|?&N1yqyX;Gm+t#RCE~Jf+hhc34Qf
zvi5cSKrtmOP08@kt{^alrzRtVx@~w~M0dT!;PM_IK68UbZO7}{*h%Rd9%CV7yzAw}
z{GEkR=*vgl8CEdsj3VZDq4A=qr$o)WgNV!qBZ1Mo6##ut7p>fel#5o$9=_;1DMw`H
zqE8QX-*PV&TO!1P)rgJVigh~_?%oSQ#<pv*CEE_;=+^cth?SjpPJru{76j@s?a98(
zy)JSEz&X~God?HuW5uo(1Y((9^`<k@_GxKMkHSg4qbJ2+bEnr&kAk!c%sobh7L}A?
z)Ogou1PDUC>j#pm#W9Fe#-hNCMDP%Vl(<S1RGNdbTDjmxjxaRLKtyU;At6bnnyCD8
zX;gH_dIO~fLvkNMYEDRwUKs{dN==$U33E@c?1q_W_Tsat>diS$SEm?7Dh%=KoZS4Z
zy5=1z822(N&PR*e?=e&ZVTb{wa>5W9`EDp9HZgFlRCeh9bW4fuPcJ2eidyh~VF<Fs
z1R1jX5YJjXT#m~{2z*#@z3>5|QYc188l@8SqE1h`Wz0cQa!K+A2+<`pUoP@ltD<xN
zz&n*0ougNJGwJ26IS@3v0{gZz%;o=1RhLh-Ciwrw$;;2G3%>UU$Xqu5_P@xRj}907
z7@7gWA3!EY@H6s#U!FK5!k(K20-mmMxPbrt5CjJVys%0Yb7LiHl`%J(m-Ns<#z<5#
zw@sdP_+&c$fV69+zKx$_5cxEE_oOMn`C>#M$o(yMP@y5ysJ0jJI==lRw#_Q*c67nE
zefe!1ws%Srhvth(XG60>4jvq(Yp}%@yfY|KWJwbQl4AtHCFa;(!Lf=S?laQj?sLw)
zZ<OvS&iPcRJm)lpm73w94YL&32TBvQU9BXW9io@s&)HKb%$(y-4$r4JPSB0S@nR(*
z<KoI@R<YvZLNc7CmPRorjkqHZX9-0=CE`40EX%tID=YrqJ3+sG7ajAK;$O@7b?M_)
z_tU4)-RKfVuI|}c++NU=8@pnEczH*|Rrk27qhSBR9YzFBGO25~gY$N+;fB_F%Wl+~
zEo)=7vK|C21kUcYTA>ZAEhln@E!M<nrPI};sk>f<$mwR2IZ%tEXMY}-y`p%O#LwP3
z9Dadr67(utq^bpTj%GEZ*p~g$Wa2ksMvM^H`WgzA4Q%~qaRb>tS=m5_qm|z1LZ@Ld
zL9#9So-xnymuBDRrp&rb0oGTj`aD<U@Z*h?^K0)x;{#?&w%fTF4fsFGx}9$->~Nvm
zc_<Br+j)}f7bS=C$prsoF)iD0JPQ)@=U(0M{5qH5e1@yM<akbWmG@PWKGMeCov`4Q
zZ%kS<+yKsyyo@E{PZf54JCes6DJOY9nI(CH4tnKk&gy;wviD^`@+P~QjXkf+a%zGZ
zPdlU}OStRuPo!=Ddop$y-5Im%z6bd1rj{<rMnc+U&p%GOwbH>SYd(Ed(b~fAP6c1N
zRhr$PT?y@0QyudXJD)FMjqxb)-cLfZ;5}7ZRtOUM{^l!ON;xD?$if4fM&mavh@?%b
z5R7phv`K~6t-vPzB{V5)(vQ+FZj<s~IX0;z7cFgjKh+uKWZU76QdEPFHlr<Use0$m
z3{y!^u4O7FTc^OLJ8IZ;aeat<R-I&P<g6mOqLi(c5{nXFYW`+vIa11xc1OMxmttSK
zyp8D?LT*hbyTqpB7b2=0Kb!D<AqFDLP%5@|6A-;us2WZ|!bEL>j!!JHU5+-hnXUg>
zVe9&Yk<GlMT}^erfJ)zF)txQHQg>fD62*1xXC#j@ryo7mdA;%x;X@WFeCqqIdeG{%
z{dis}ku#PP?;F(qg7?p*MMcgRR~Q@qDPhC50+_Lnwb<wSKcm2`Ja^xvLW^=Ro`(IO
z5xUfTu2*GBhtl*pZ)1UAIT;`$bJL(B_hSQHod_9O@b;p_Fe5^GRjHFDeQf{1vkv!z
z8y-~27b7k1G@t5DjM6>Do8wfdJa06mUC!pet29yiYIBqzXNFhxbpV_Mg?Y5+<Zw=M
zuj=aXe9Egz(2d0LWD?2>l1Q(r8ptDgRh1HsIXP&-diR4|I;Tt+ds%)}${}pn9{u7r
zEdP~b!%A~*SuHUjg=9?Rebiu_Y=_UG?(cPAZrcBU{HlVU9ayhD!+Mq7Ba?cy(y{!8
z6)x9<uDy(d;&7DZ@`L=3a7T`Mnx@_m*NjysvF)Z*M}%po9!+iWb6|14GAy?2ekLw^
zx%)8{QrtF8{Fv7bVVanX5+`P<{JIBof*Md$ns_kT^Qjo(EW_K$c9}hoLS;Razg65o
zwue$Skl~@EH@Y}!9?Gk8WnTa=IFS^TFj4w)s?~hgmOi@__%aJxF6U<Y5@$h*jv{X5
zPYP;HL)+m$o>i^p%}{yCbC--x?_-3|pyzIf9|q*O{B~HY$=PpRYR>MEx^mqA*K%x9
zPR1-wCGy}sgWBHYm8$7vl-f`(RHgLrRo(|BJBF_E-trKi)cKxPv8+>zy?A+7lqD7d
z@B3#Ux(nVs{Tab#U%X;wB#!$L*?r)?t!16Q301Bj^rRSWzJR!C6s*+(qDqApm8@X;
zDPG+1BeyHn+$n+YscSUhaOTH-6U|j~7v0dQ^Ul)U(05`SLaAiUp!Uz*hSZ#mr1VOc
z%;NoX1rv+pOF<5kO%J6SPE9u2tbl>6wwOM^JCdJOpC3nAeR=Oi#rZh$wO0({z)rgX
z40CqcW#pSpgd~Osr}ZY1v*4vmC8{-J{l!;*KQaU*0#vT|N$yLo{*Lji!`J&IeJ~$J
zb-Li?GnL4d``&(*3Y8zGN5xbiZap|7j~!R`YWB;73)%0X%%2~Ha?X%XaOjGAC>cUM
zyu=JKoGo&g8fkH#x&C}*l<q0Ue4YxGXN<Y`oYORDKbx6MBLAv1k-AFoJQORr`Iec@
z4^a+(fr^K?*tjJ8>F|7NXcD9&NkXAw@T6l#O~oTQW|Z9&b2!5>!=Wt*Ez*18mYJSa
zZW;co&@EHkClUE{`0<?LxVH?#&f;qlbyl=__y^yHN3R84M`OD9uQXk_aYUXSkq}jN
zZev&L_ev~9IPC-nw)5LU;GL4EESj0b(TOUPrLG4dgLMy18yy#F(K&&`_;ArkzS@ZI
zTX9ZM*)cX(?{(>BmRfud%RZGN?qgvyp&dmysvFnP9E$IiL2R7PGi~(Q)KAcXu-d11
z2iDl^hV9GKaPdICt}wFNo&FjQr{`DJ;M6?-93J<`$6mLEr~Oe-uhIQ2^cKxc(%mOG
zzx!}A2qN5SfNMkIm#4?re!A4g@3m{2_ynQdN6H*d#&bKhdeEl3aza$OAX4m>%~NXh
z*-nke{6R8Wlm+CqGHYy~*ltj3+2`$6|MYIQ$FXqet$dthhwM!kSmA<&UYMj#HthA@
z2I`xmqeJOfbJS~FZKTXbUEGsEboZZSbFPmsBx?BBEuh2CaXNM{YA)Tf#Lua{#(Y_`
zyWOB$bKpM1O*6omNJXHK9T4AHXthl8TKa4;^(Iw?cM8(V=0v>-4XX4t=8IHec98lI
z0w@O%wfNl+`&*X3(X%#eAl|^~>br6K5IfSf;p=PE8a5sAj%Micnl)TN5%^6U#|uQ<
z2964`o9-qYj%?2AML{h|V!K@k)&54W-KoWb2Vi-E3z_Ts*vp7&4)7G9>xabtB&ieH
zy+%;O9TmuR5J#2;p<UBUaw)0fBx5&p>A+^xrM69?Ba+H#H6WZ5Y#%xkVhD(H^&vGf
zTaE7b;g=E3(=Rjv<DG8a0B`svOt5?}u4#%NA)<$9R6%n54G3b(ZR60{cklY@cP80f
z$L`?nA@waJsKOcf9Y{Q=r{TdWP84;*)s>YC7cMM!ws01VzZ`ToRvPyC732(8`iKCb
z1SbV0a0^izjEeXr9d>8w*v&r#Waqlgda4;pNt(GvH4|ZbUAXMpQIj|0MC}%un2oG;
zjG_j<emgzG79o@ET0A^s@@wLDkmuOJaLbRZ&6?wGI4%5x{7$s!@JhCipA}t`hebb&
z4~>(vqie08Zb@ht>kf|otb_4lya8nnA#$JVb#P2CU3SH9u#$S<IY>`Xcl{=0Kq-d9
zq$<MRx|#2w-CoB|*)ZBdTaJy(0G?x4)mwpeu4d!<fL09`aN%|nx^U`QHg5ap>2@kM
zBUA*&B*Y6}2D%XVs3vX`;KFbS4MAKY+`t7<z`5CUi4{9+q|y<cJQ=k$;|FZKZPHa&
z$UaSp;<vX*v&>uYzmUyRGJR}7nfQyf(77I$NAdTVZ*IfMqf_!~gXH+{bb#VE?p@IX
zf4G?{#BtdDXUTN_0NT0|t{yt;H2HyE{LnA{l{EjXoNr>|`}{oG6TvsVaGw+RAokdP
zU7$HP_TzA9KKg0sh!oOWDxYAxo+9$${w@rF_Il8Y#|Y1QG?f_Vo;7NmRju+uhmHC%
z1!2QB6v|cUy5yT(Y!9?*J?N3n?6bY_NwpxT5J}9e)2C$mMTpTe{Rf~IaM1}g4Wu%J
qLKh9j%GF5T8z=K2u-EnLtzH8<E!d!Y+4eL@|4UU#W=U^-`TqbhA(?3a

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.profilers.utils.doctree b/docs/0.10.3/doctrees/dataprofiler.profilers.utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..2ae82ef44ac7a93ff3eeccb3fba6112e1584fcc5
GIT binary patch
literal 2343
zcmZ8jO>Z1E7*3P!ZZ_F$z9^R_K!vJO(e6OS0da*Bkro6LaiFriW6#=T#vW`>vN=?O
zL#0;ot>y>vBe?T;zLMQYQO1wo@Ar9M=dZy(XXCB<#~<2KNVS?##*}8<2EWU6S`}Qm
z@IE~KJG>5``LUtbR#ztF!EZq#6*6artMDrLX%u%dx3gA%WO?eOR=v6yh@lw03S#UB
zPP&}mx$%RSQ8%>r_kZE5=(mI4ggO9NIQ7Gl!leu1*pEpcquBAoHnh3FpG(EVyjoDd
zN1ZcrQ8}a(Q`nKr#&AbzPOSxq?}4I4^R>&W^7gQx>80UWl&Sp4(Pg{};!r#k6LBVX
z#JT@Hd1<+^$)#1CE|T<1QX2gS61T|@KNG`CZIkb)qdyv*$()-60o$YrG-0@aczrSJ
zKJ2WiqOnNvql;}MAwEXr;!%vWz6(@*iZVXF3p@ev6mg2r#UA3@Y2p*lHcfPzqE+at
zCZ0vzdw!Z$Cf1kq)tq!lQ&qofxpPu2!I9&>>6y{Wam9ik{z~%-<?L7^4(EQn<cb^W
zv<WyMZ*CneN*wkZHw3mXaolT<mC12Ba5^Qi3-K2228het1b>og?UZ)>&gI2De-Ig`
zs)DRCZHfS7YSH|Xq`HViwlMjyL3qw<gj`D}NXG?uY!zB^%>5+x&^VIwE1rjoZNDdI
z-X914n6D&i<*2J{Cp7Q_#uwER?xxq&DAWoPhSLJb*cqDgm{fS{r&5)bBV47LK`Quh
z<+A5rKerO!XX}@Q8>0;oR51_<b&jE?F8D)Txpga`39JNvzHzf*Lj2~ZjnUfxI@PoF
ziw#YG6cezhl0bcOBozEXPSvuaOOA3goVT$T{HfuoHjFS{f*f!o!Hl^drdnml5#^8!
zBf~Sf3S#J|v~rr<LVjC<Q3tFlO473qRjmOD!Wl)eHRk@XMo?O1WAAUF((;OFvMM5<
zj`#`#$;n;Knj)zqSJKLcpNE7=OBZ=eq>XaaO@nymCrHME|Fm9ipiC=9;vCoe<iq#{
zC)f;82JMa382Y`B1==6M&*L~!pp9CBg}E%G3*T@3``^G%OI~7qWE`WI)+L)nWI+*q
zoDKhpaIUo9B+2#l^{l*cLaUiJ%Y^Z(1d=uh{z25JLxBcyyg;KI8nX-h`QtCXLS?5W
zOE=s^<krnu=f-J`)h@ZqYB$0aIb4h#U0{Tm6X9alpM#JE>1VSKpV%@o<efjVH_Fi!
z5ppSV{DQpqa~*j<u?5AH{aInCEeds7pPM7ebxPaPo~MFhe$e=4*ihxVgwVdMO1Oy6
zQ2n^HOW+;Yqf@CeaG=`?Cvi{MYOyYN#ES)I7}Oj15}Z3&dywXuUJ_nVnG-yXhSzV#
zTff8AReWIlZnGaSkf4`TOoH%^IBJ$0`vx2O7>+;}hs_Ntu=t$3#s*tMn<ob_tY!US
z7{>yy74T66n{V+#B-W23;BHD3>va$>=2kqy-$YETKe*d~TKgcC*iX?tEH+4-vreuF
z^DffJA$T;bSm?a(X)XG}2G~oF*DQ`ZueH+2ntkj`<KlvTuxYEk+46hX0;#Uzj0eA;
z>O4nbkprHA(YG!B9?8E6KY_>ip8%7ASKML&H4gh_um<n<aNV+fsnWb+m_faa-P&Vu
NU$vth-_U9?`yW3?t3Ch#

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.reports.doctree b/docs/0.10.3/doctrees/dataprofiler.reports.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4f1bc27bb55048a35e95e4a317c06a5d16c5110c
GIT binary patch
literal 4198
zcmd5<TW=)A6}H!&n=fN~m)(chhJgsNDC-##@emOy1hI;eSefOrKrTY1n(msZT6cFf
zRn_aUlte*@XeX*SDo-TJKS1IIiC+`tNAS*9eH~A1Aa9H`QrD?db<X+Dwf@@r#~=6C
z@}J$)DHq9nNW(CZA=A!wLm6Z-ON{%(z4)Q~v%711ik@qksen1V29AJ>C{!$Q?>pP~
z>_$X-Sf1}_78oIu`Z#a#Ht)Re?(&{(8DS!}v}HSQu~aIfoo4~Z=0i63qMMD6U9JVL
zxn<iag<RwKf$fo6QNCf@rG8_(8Ht3saW<iLiyEWEBr~wf+p!@+?RD-15!D(*e76!B
z7hl~lOPj@n24{**Jx^vkhR*z!<9qy&@9-nO!H@03(L0(cJv!3~qmxnaW0ETQ2-fS-
zgSUx-U3zq%8v2HkQxP#Wg2H-KC^`zU0rq@j=y`#`P-&R<^y!Uk!nX_T8}Rlkg6;fP
zhFJuqbI9&A>jtTxK+Ts5HOKsE4+eh*2=Hft@elET9{(5ce-YO4ALUk^6zu#S6lg<%
z9{eohRAx!I<gdb&d<~Guz$mut%X05JLHy7@b(Pid2VAN|;e{QM1W^_;4@~Z$ZcOJP
zOAU9YoA4Y>^WcJ?XOWz^g>7>YhKR+5-7SySgl>|>6Q)?`PS@;K9(r0P(FJ(75YmlQ
zkHPEwIJdnE=zg&ZnB6PQJvmo2O__3Z6~mw7+!BVsoWEMRtVHJi%KCbw_?SOH#*FRZ
zRfr8|P=agsH#fFFxRN2yNbEEIrcb<-E5_eG-Q*9){GA1VcfsFV@ZX)T@!v1_ABqsD
z%-?|-!K(S3d>3<jwr!}Iv8HlV(OU<fJ&g0%J-JG2V7d~Uwk0$UxF_C0e?rQA`2VKd
zlu?r@Mkb0T0l$=WqcZD8gos2KLWb$ZD?UXLi^*&tr-Lh%M0%`Ou7;1-pkorU`Typ~
zb>3YL_q%p8r9wG-RN(TnYh-@J+hgOXhvDy)@b3>Cd9~=FG}AmVm!PoEyn#AOXKXN)
zYA|C7Q`C5LtBP0Euy5sSYTLg7z`wqGZTs~5gHz?XY{Ht1=oFsUP4wF((o&J$!tt{8
zR7HCEniA3FYZ}tZH5*H{9?j<Z=1})le$U6=y6p#<@*SAe{dT9K6n)orH8bAD7$pws
z*<h+<Vi-D!ZNE#S43)haF8JQq_R7GJ3I(l)tYg~HIK^VS5JPbH8J1h+GE)&&yQs;;
z_i4WiaV=laFPyzOmC_{AAnWVR({;P+2NQGzGDj@N4wSx6^^~B^`FTg<%EN-fB9>Fg
zxiFkm(*h)x2g>nbY<CKXNyHwr$erG>TbxFwTDI%~o1?P88k6aU+6vhun?YRvoT>y^
zfkQDGgVHmK2F&a2p4h%f(##N+1TqAdv%SnrPkwr$1-_3iZxW`IRD{zc#HazBy{dt6
zc28#J@-40W7H5xFc2=(7|FQkz(nf*m=+Whkm6LYg8=!#_`c4|bAZK?Yn#?j(0>B+&
zeFH7q-cl@(DkSLd2o8wxL%`U!1DQ-=Bj6ArhAIpLbI04ZPctJ)L$WsnB5F6x;*``;
z2UK%{K)|VlM*hORoC0VQ?S0>nQq8hZl6maoX`jt8vN3dn=42isfgz8D7AB9+JrW8{
zCy_U#)Us1$1HWf?V2nomqs(CjM#z+Gq#kJQ_%8^-?C5#mUVj^!oZZGyQZEso2R@|`
zHpvW87>QUI_nWo<e$}%5l%*Ijr<iS$Act(nQzjJJ``oYtZcM6Q8I8`*&(YQlm&s77
z*(hX>N8r>WXK(uxxhgn842$6?1IKhhKY9M8mw{|wO@kFNp3;aps>B#6@d6OcOmi{Z
z#1TaF44oi_LO;88?J)u}CUtJs>Jy#%2wB*DeUTVCCtS>Ugg=6JGm<{;cXUjZAs=K&
zY7L-n<?CWeA{o$fRy+<knot1u70Cvaa|m(zEK4E6zgF@&uq*-?8bJ}s6fsa$g`2)k
z=xlPCZ=Ye543Vf8ki{8>oQ1s|M3SBn7E=)syr2}zUlmX621_3MCy4D9^#KWq@WPxR
z5b%Z+Q&K+N9zYPn#b97VC}8aMFBN<9618}gfQ;Lw^`h<50`D2nJDym4-{oKOFZk#D
zv&{B9)m)@N%#Z$Gj``=~j6dtYzd$4T4AbgI{4bf^U3N)+-)<mKvAjZ%QBZv5ReXiw
z%ano-uPL}Np2(>7a?bkH3bE$yUAnPXNzD)4ymUV*s4~7}-(J0|+`)X0x)9*C0_Qus
z9mpsG)UW}Kq4Ro4{{%>U?A}6TV^~41;N_=Lk_v%!c~~an8PwMo8tG9{o6c3fYxzG{
z#`-(<wO;{t<=fJr@b%!iZ<u?Z8wfo>zrs*dW^_1&n$@ef%?}^lUte4MratYP^QYi@
z?OXV4tL#+kcGHIjGVIsmUq0~dqIlo)Mfrd}UB{h|UM=pk+ch|OC~uc9E#%(JKccrn
OU&qUm=Vyy-GW;6bUR}xn

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.reports.graphs.doctree b/docs/0.10.3/doctrees/dataprofiler.reports.graphs.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..84fe028bddf646eb507e5cf66ef99c387f18913f
GIT binary patch
literal 3236
zcmd5;TWcFf6n1P&vV4*4q{&O{)M*HHXe_mmhmr<LNuf}KTGFO3B@Cn8k!I@MneAL`
znG$FpQWBWAOdtAZ`d|7Z`rdDLS1ZeqK>HMdVCT%4Ip=)yoy)JSKmOcYDt~_46kNz@
zpQfo)DKo*Zr7CeblQz5#_kIh{!=dkLdS;Z<2@8G+8VMI!s+kPWg6~CjD>Bos&vy(<
ztWdH!&Re|AJI}%)@A{S%He(mIeETa+3vNQxfWqqcY#J>$@)x1>0he6!?SjIp4Sd&k
zN#iD8@$K5Xp<m5}WMSw=)UQ)(wHP^zsA3c=A~n(DPLfe$AjEe|(!BawOI<NvjA(MA
z**NMr-?4NOw*uehH~A*t<12jM|2TMRm^OnGBN-hHl21sX)lZ1s48Hk}XjUjQ_>x-s
ztyW`^F+G68W>7ggNU;I+a-$!0wKe@oi9}x;M0o3X*^T&;ZwZ;Q=>@<lEcyG0h~EZe
zcksW9|A+YBi_rlfEy|b<{c1sl4*pKAQkSvM4&Gum_zx<rqqiyX_Rt3E_(%Nc0u;ah
zS187eTBjKqX(|)GfX1LkV^E_}oIi}fAtpIFP~*3T0MxDkwXW}iD73ub0&@PrV<jyW
z(j1JPEIEoVr4J@dGEHqXP@XAm98`YvD`MXGpNHq{eGI(5sHijKw<1B`_=XYQ&%v;F
z3D((byAf;rKID&lyLzU;W<+cxbVkV-&N|MoRMGSM6}jIWf0NGqemr}{_Y$XL;*%!L
zH)oP6-Tj(jHa;Ng*KSjg#v1R<WQt<)1I-+AVph@k_Rx3hXIDC40n#&LX<lHlQJEpQ
z`vlANdg*kA)s|HWiRB^g!dxrn+j;O;$4XhLEJ)pK9$)cWu^LL3lPQ>%2S|F6%LPeP
z9*eBOl{YI1%UCHPXTowaD^jpnAE>L=&~H}MBpEwpSvX$y>zrnGwru%bHWk3iBFD^J
z+Dh5TO<=BfMzsW1(9n$LkaVr435$M*m%b-t;VfY?Q7N>7?>aj^`t-;MeD5u85~j7%
zgj1QK!U5;#YGQ-mR?aTo(kgEWe*e<Wr7QR^zE@p3cVKpOZ*k+&Nxu^VFhGd|p9}#7
zzm-uradg4}cZ&5gdX~SYS)z1GQdWQ*FcYig(6<vM$A}Sdh!nM)jm0$Zw(n7A6`70t
zvH+vDQkNH`VI5E{1p<WAl4kM3?NS10rHOAp7ZrxNRFP>O`Lx5P=oE}xJXumCvE)=3
zVM~5)lT;Ww%3>h3mz`NQ@cVuf!5Hu#MGTD>l&RH7Y%pb`yAi)&1T8D-;CbV1Dc*Yn
z&AnNIpSv-oKpQy$3p0@m8@^up`=6HY6|6vC8#AP0QbM*FB_j&&V{Z5ZZf#*64hCmu
zXZ_;bawYppPX;MF9YE6zg1;V5l&;_eu`I_!Sv<@d<VSZuegI^9dYoJ`6D4yqdowdu
zDU2P0*>P!x+dPAbuB9WSP-=NNUi14PWKNpgY}_ZNhzxn<cg#7O!jy0^;TirQ?`ozZ
z?>9|OwIx40B((uh*UELZB$-NR4efry(QOhue3fiKxr7j>Ph0^LaYQQTp1KIU0((><
z<QN>7RfVguP8c^@)Z1bCh^0u>bJ*gHS=@F#$rL>yET<wP7~3=}hnbgtg~`)6`S`V}
zJ|H1MFU$`Dgtx>}Jz=Ofm=Shi2z0TS+dzdh&N<If!4{;|ECexb8#jw~Obd)rkawc6
z`sPph6XUy4V9yJH^*r#WL&I;!A>|1srbp<>?aG094X($+rk(Idbk;;>tpnqa!Bi4n
z#y;@ZJKGYS-@3@K5}vI@pa4gF0a+!9g=D5zy~9OGrH9u6BlD5U8q$`k?_Cl$+TDd4
zyECihp{on`qakP;JJ9vZchx&fejQ~lQ7#s-;5QPLWnd0sK%eV8uH~=sx-Y^LBr1k1
sq(0_ng9=+2Y^vRYc%u=QoZJvH$y|yeqb8A#>uD^=b?u5nf*bY!1s$UNG5`Po

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.reports.utils.doctree b/docs/0.10.3/doctrees/dataprofiler.reports.utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..dddef67079e17332332f7d1ad45d60ccb9f66630
GIT binary patch
literal 13944
zcmd5@U5wpE72f~fWOtLa`_RpX8=&+?WOrK$(RPX2LZA{2ELEXA5F*Fdp1Whm*S_^n
zc2{ajLaCI90aRk31zHf|M^u9L0eC4Ys7U-tNW37_2as9`A<+jUqzX}i#CK+FU)%Ry
z@7<&iS!s9e@%)_m&NpYy93NjC|4Qq<L-I$=2W@V-+pD^1x}M2`SWKCo5w(~b##iHG
zm*NX?T}=D>R^Uax!D2Cl8V0u<(`RmcCKhv4J+z!)HEBN?Fe9`)H*3zv`2?Rl6W95)
z7!R$`VYx?Q{9$SwQw2O9`vlvjfz#qAVkrT-I3y<8I>roRen3oXnUH)`OeC^xh%v`<
zS-cT7bTOlcp>H*!5ObnAj9O+u@=h9#9t0@F^|-6I)YX(3wL3Qr-8kp7Ce?|=WT<b_
zqnOY0CBBaz=A(RBd}{6Cfce4Nxxi(5W6iijYx|y!nFnhh`?%(_wim2@P!IJ7eXnUb
z%wL1R!I~0u&BOy#mk(B{t{(=g3PeA^1dp5=i5h%Jj9aeBwsUAHAo<%cA$}Bqy#v3u
z;`cWE9;3+tAK#Kws*AC<Zuzlzd&@H;hrO@Xf7DnURh3pM>hOt;FxDgfZoZPk;d6V%
zp~>_x@|o7~b=TkpDAp1v))W-&opk~Y6LL3eUb9MmAT|udro}WkqHp?oo99py_n!3J
zP`BKm){I<9PF#6@&EU*9N4?Vx9*4T)=)~P%&17u`@LdCFt}1peUVlFwI-dlF?^j&f
z;75qDeYHxE-wVp!I8dkh2jr{DM5JrH?<9)UoCttA?0`72rTebdvH~j56bb9cYIV!4
zshbL|AB)9mf4;8v=sE7mVTC`I+ZgPhk>gEjwuWHj@I(tN7y=@1u8z2;$2fJ#K#j<@
zUIT%TCzH|0j>wW@wUv8n8y<|6vW!DwpB#eBFxi^a^zw1BR58btn3Z)pq?>@^oc^S%
zi&;!@r41`fGKl>ok~Ej{o)t{Z^mfZx5868I2~%hSYj~c;#8n%kG!rxV)Qw;sdQ*WG
z9h5#TaW8{@sE1ZluzNl$f_$k8<S7DKAv{HccZ16x<rfIa&vcOFk4Y;5fe%W7$<DP{
z$b84bj*+9w(OtQhQBJWs>nY#Me5seLjpPKa1j*%mlbKGF6sdes5uk7N2S^ONv7V<I
zA@K~5cv|Y~COLf)piQ<slJ+_;$MAYOJg$nPzECx4yL;3hC!;Qk;aaJyr}JI$XHzRE
zMzP%0_*l}kg^*p_hBJ{9G1<izRpp|HzsvXAe@}o*#+s(r!lo9Bk@gO@eiVc|ZLG#|
zxnyHmCDi>*7RG8M?2bF@%B;rXmi}gi7WB@#>Scq_{|#{XRo52vTt6+bzPmt5?60B2
zt5D}t8Ey+ou8xIF7}r5|HdiCnaG|US<UcEb>@E505a{_#pb8rOucGT0yFeilQP(|4
z^m@Ldo+SEhDo+Jx>_fvtL;0QtqYeLahco<@YPRsd^q_=2k8uZN1ppYB6}wk_5|Ac4
zOvf&&4b*4Ypxq$1+QeA4&+=|K)x!dH?0c>oPciB>?BWVk1Lc=sZ&25JftvI2lO<%|
zMM9Qg$U%2Tr_%w>JusEAn4vufGU0#{7x(drK@0+ag-?j7X5=_>v*M4FRWSK7p?_)^
zV(7#_X`huE3^?5RBV_6y*7<!Yqs5&MNnO?S8f~`ZhFeYCY+C1;Ta%kf<^y^xaBmB1
zY#W<h=8fOIxAw1Hd^+nP)3<F)7;QeV%4z20jo-+g4XMOt$&{d#X))8Zm}6=sXCW~v
zIF`%DxkZz@zFEt%gEaGC>VPC?_eGH}$^b@3OZMY?LD#;dRPq@8Qw)QZ>CB<wnLAyQ
z;_++)^kiZ0Ia2Ilnr5$AA!~Iv@38WYjvG^}V>5@RzEazOuSG}DkTb<hVrzPqOm-@q
z5*&2y>yCzIp1YYFMdUpp8R`IBoq>wJh5h}3;S#eHrf4(6YFb8oId5HT9leySw*6fN
z?YHqy?nooGdTDHWl;2CbOy-bSNT<nKZLSAa!Ps{EpI+{b{mWAK{kJNtGy5ea?u$~~
z{#Co3A%cZ%w;ju{!uU$Rea?Ov9os*_pUd`7>5?F`e}+G)*JEc$4IkSLs6{bed+p-Y
zlA|blC;+-BmaFNMt)1N}Vr7-pmD>PHu_0x*mh5LRy{=6=x4#hX-#{I7{*<h0e-r;w
zqn%ic+;YizWu5h+3TtFEux9iS7CxvYr+l?s?C<4z6$L*oSs#V63=?Tj{zLM~INWZr
zlfK$bm%<xzj&RPpmjXS?k5XO=_Al~N*oF9WBgM}8vpGlnSv0EBRi60vpCFC22Llj)
z0Uh^+hTMHS!=;P(U9j{aevf*GD|wOWSX9?bq|2*jciR6;>bV;A0_`iiw7*K+ShBAU
z(Cd?`Ds5*~PB5wcQB`$kfL^y$)pV2R%W5T5OKr$T%2`ueD`FtUCUwOl_<AZ(TJ{!`
zGpDLG36D~qIqkC`6y6*lnvuJobUhWozCy-FlM15<dLrw!#SZytai`B7i7dpB6`l4F
zFFe-&(2F>HzSGK3;n|`&taFwY2)o!#olIb`Ui%1KkJE4q&d9*uNs2Q!9CrG2g*^A4
zIbIR`T)iJ5fB917TsC%P6fm)>m36WeD6Q;;N|RORTYS54lt>Tvi2vC;SzB@Sh6n)`
z)q+<n6#cuHK{r=^POqaDMY*^LkjN(4Ya6O_!N1TGAcXaD0NJ0XZlpY4&g5Ar^F~EH
za`BR$73#SlLh^De(R*@NoWOS~C%}7#N$h9Q2-po0DY0Lu9-wEiBpskTULv35&3<mS
z)7c73mPL=FK2<4salft>Fy|NL_u7ik$(S4@?}+z4=D*y9;%TK~O#5_6$XBX`?2TeF
zKsOB1Q7Q7^@6`kB9R)eYwSb_E8pX=alt6g1TE;36iaT5-txHvNGf%A>LYMZ}rSkea
z6KP$<sd_GS`)+K+*;>E<E!_^f6+V^rUqbZA=%6m?fZXp4w7cqW!Qe$J(x3l#R14Z$
z^?MoM-s>2k8}Gwan|etHAFUoa$G-t}P(Apy=%xRXJX<aNfO;7@UP~<>T^22qdmTeu
zpJpDd9{I-B%$KT#uhPt}7BGoC_cUys#&!rBsY1~9X;?e^)A&>HhU~K_seBDZQD?hB
zjlW0+SB0DtcS(jg&nJ6A)UZudOD(DjQshI;51gb-4;5bySV*Bfb#@3;OgTXIM=jV1
zR@2h9Zy_Zl^lE<O%FuLr9?GK6Z)KMm=k4c7aZC1(s`Zy6AE83w=o{3_mTGz~nGNjy
zeW{Mb2R<yrsXH~(tGQlyT*m!tdM!dC0sf`01a#L-YLF@@06WvAinpSxjtX8PX_xGu
zCqk#E)&9GEq5}IxYH{S$C>nQWY;SiF)4tGERJT8yD=S3O6aT$`aQ%;a5i||1|A87U
zr)vp2vHj(o09{eO56RO;t?uNGu`4yY>ntT1?F(ql$h4{?rz*dylxJRy{0(qQ`P;w~
z%!jmoh*nuFH;wkaibAlkSG12F70wo=?V}j&L!u!i>Zwzry2%(M56^Fwx~rs58tDGF
z6t92Pybqw>`VScB{x3T23yzHUDP)S1#6cvPVb_u5&{z?z{xV~Aq|-~#uLO3NFzP$6
zW!$4^G;kPo9+d|TqrMAuuL0Kn9@U9!nO;Wfu25|kr~8Czd(^vq&x<?bzu0?Qn9Q;a
z9ao~9<*MxMlKt0RRtqsN3BHoKD@Qs@DMo4V_4fnxngm}{E1zx=l_J|J_-dy<OJ;q0
zgkU8H`-EU^6Hbp!HEc##+jP~;t~PPiJKWlluFg-0ahYR_=x*|wC@s*_Tw+3b25<I9
zl~Lr!RaSEUg`TBh^W)TZSj-ubPYK&vmY%&YEm3LOVhX-kh*zn|IzN!5kvH+~6uARt
zEG9mwI}wtZv+TC{4KcmRT)blqJwL_`PFf6EyR9~EX4Now|LdN^?M!kT`3~;(hn}HP
zS~oq#aO0FHjjXAIP0tJAejpz?dw6PC?57-dH)?6y$P8}9D49d>)@o~p*P_(;09`Jr
z66P>jqHS3r*V5#2jF>b?vduTdK9$|9IqW=h;!`7HhU*SqSF77`aRAv3z$!$BY0xPh
zH(4Xv#Bg(oM?^1|nchOlbm$}dlH|sl-#N=|N1=v<Wsg$Mkb4q^&6T@WWcJ75;zN!3
zzUONkz7;alfisC}AWLlCi^5_rpb2`3#d7IMsSEoDV4;{({dQzXTOTeyC^Z%fG=~5{
zaX{qAjMDv%?rui<CIjLoa@t1lv4J?`GsE*uEuWhW943%#(nOLA5V1_8;j^Z-jqtsg
z)1%PSIz?i{0;%?!QLC+G!~?LhzyjxdSI3tK8)9CT09`jA^>>Qe0gFseL*^@LE#N(y
z7cec~QnJJdwewbBDT>Z(rWH`E9}`KWoJ<!4KQ8uRG69x=%3=g-l4=@#8z8??Sfncq
z0=Jkl)1hJN&4kKl@l{543yL0~RR!j_n;@cNwX86HVCdC1#>HHlwed+plVLR)=oMU~
zl7<fHX?chm55sn_zP7ftwYA#b3AyL4dj2Mo;Loq2X0R5Eo2i8q1uZn>P(V?kO#Nl;
zm0NFr50IVnn?`9ED(MV!I2|VRJbW)=v9KwJ;bF_c5YwUFz$!9B9-o>L%iv^7%a&&*
zzNT`HuZV?U2TA?g8n-sNgJ1A>%%QXku`g)peyBYXVO<9R>X5uwx0>S_dIIgT!I8vb
zK=Eq50c8mxTAz#B$Qz(<TjU2Ti5<8C_IQTnHo<|^FdQUP5k!q*y#>~4FcWKa2V-%D
z6wE8)X2bFHa~ea^rlTRz8#&YT9m-`f%G~qx(TbQ-CIV{`^unt%yyF6yR1T*k!vPEg
zx`Z&^pn^%Cs9b;%E0juCor=+0GrO6fWq~hXP(De8>e{|UyT@br6NqUlrnh%gNj}&J
z_)&amBA?^6-3jE-Oe6`VnMqE*?dfEEo{)$B{N{?!SOT1@<IA)m{{v&)sNXW2;Y}H~
zkfDu8?9Y==BDWvuByyz^%~c86n6#c!QNBdg!-qK_YpdZo8J}g<n@WXQ?dd{~)9I+P
z(ZNFh*e?8#_NSZ6eI-wZ#0)H;;YDQMVliuYNRm>Yz<>!Slk%%j`4jO&Si{H$hgHBk
q%K*k#4VW3iLh)=?Ea^IHxrP&&us_}=eOfhRlC4h68o3ZrWA*<81kG{)

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.rng_utils.doctree b/docs/0.10.3/doctrees/dataprofiler.rng_utils.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c00dcf619d7457cffc72df404f2adb03c2e09b64
GIT binary patch
literal 5342
zcmd5=TaO$^72ey-?(EfT$L7IaGZu>272X+$@(?W+#MmZ+MU%+6yjhi+?wYCg_H=iu
zs&{843;_|zE7cQeB%Tlth@Zf}KuEwJ;1QmK^2&Frrh8^KI~zv|N>&<a>v~Ro=R3Fl
zu=cxuyfo+j?3T`Clnh%u43jhzy09x@8sr0!nBwDN?^ngMV%IhlKhbHf0#VpG><DBO
zhe{;HlfrJ&b`!<AH9EhnMPQ;dsgBE<tjpym#jb4Fnu$y-CYEgDanf(TOBWQh344~_
z5knF_x%5%tG{IHZY(3+UZ3?+<8>~`RF53D?$Btc!qeK*)yvyw>H%3L>+~95Wmc=O4
zr1x?VbFDFn|7!^!`2SYIJR1+XJUCLKM|*O+Y<QoR3b`e3%5`~5F3KJIUi)1wlx`pC
zMDT7q_#Vqt`V<K0_M2}rC9+hvA9BOrQfV)Wg=#}#-S&#MLo8ssTWG1I&pePy<8ikS
z7xJ#0v$ZG*#c%>K52pMk9wYAnuy5h_GJfC2Z;u`ZY*gf)vul?!9;w3K9;9I&i|;ot
zmRQ&wzhQsIx~z9h!E^Z?xj*stpMTM}_XIb&60ECu63D6Nx5v-VP7eqqJOa!}d$V)~
zLi0eVVH@BB?<=0k36$&`4-}+{CT~Jmm=2mrKIjV7?2AMwZc^3EH3{I&0Z(!sH?<I9
z^Wpt>?!Wc;%^&~dXOAAUw;w%v*z&Br@#Wn&rt$+|dEfJ>BX1L1XIhn@{~_r1)k9v|
zAJDgacqsjQrt;I2tP|{r0rvI2Fw7f=dE>CkIJ<kz-6&~#R?c9+USVIkn6Ir%ZZ0n7
z^6$S&E?=%MF#~~M3DG&2V0al+=MaLi!gPf2MD8`Q$NuONB!Kb$56CUD)0Q_wYixkl
z8>OE(2iS!I>rM<M3W|bda*#FqjTu%bU1#R{*cIxa)nK+O?AkRvZ$CraC)sv`RB-{^
zjm1;|YzznSfzCK(s}&qUd_EQhdC(E0^hbgF>u>Oe!}~ngH!rbh3HYUZra}MpWuUJR
z=pOMEQs%Q@%V+WzgzSf7WaTeiECXS#x(85n9ta~;93ihw&}LzG&nrADm6ezO_M*!@
z8<ha#6FqtDofl&?5jqn|h+xEqNb(a`j56#E`vO-@qxt9AXiifU0+Ew=loWO$J4MpQ
zggMQ?*qWm?iXWQc3f3-OL=R-a(*qwa3wz^Yha`76J@EH;$ZCHAuz$QP?UWYy!)GiY
z#?k%>ry2y671&bPRpLzAr4p!^_RIR`sVDy;>vpA=$FU=t{0-?S<PI_Fa2_gj30@Zr
zz4e1MF_VRAm5E+2Gt-xswq0@he<=h0iI@HT#fU?IpbU^~1jye!AeYw-e=U*oNFtj|
z7|&VGQ4qi<zHmQhwh>X~zwI*Y>R2lOgEj#Hp&TqHsV`H{NW=HtW2i=UnobGamG?mH
zq`&V<T`*)+zPib#pX6mNOP8%e`$dnAyz8st+0U(70C|_r&fCo(SJW)9sx??IXMBrb
zSF|t&K>(f4cGb%Clw(#{*!p`s&QVNPaciq%8&#Q7U;tke+VDY!!I~GtaQ6|0tD|AA
zVvIIS8Zc@pXcgjWRH(!EulCZ^B&k7NTrD2X+YRcY5X;!Gm#RU5nN6yRGZv%+YR@#T
zyy<5|EZht`iHu}rV*`n!1EWr-W7nx6QHI6hSj5HQf?bt7u7)+cErt=WGN>bTxv6Gr
zq3Gs)h}%5jDxrXhdj%h0rePHFEa_c5x0_Lt<%WqQNGYr$hUKQW|JuHb3%8~hnNTWK
zOrkbNR|K3%RfG(?mF8ypmYTZ-J<7S2b5}gwnV&-~<nJBpP@cXuy>RZZy+Uu$07?R)
z*wqdjF;DtA?+YLvA~G+a;kDP42vQZYP*C!K80xe-wvJHLL-+$CQHT~$^r9guO}oi+
zld|!YU5G%cjSxi_tB40+-9&_FrV@@$xMR264A4z9nSVT$X_1F1Lyd!7SHutvreKpN
z9ZLekjw2nR&7r$k7-`;(=^-O6mrI9`ckMbJqu~PFb?soyXd9!x)b+<V=syTSB}IE+
zVY)4Z$=C2@pc;ar+vHVXPSOVv<7g0>;-_=}`ftr{W+Fp7+!OG|z(I!Wn}PArp4`JW
zr7@X4Xtz&JPFmTik!jLORlgmI<2H8cc44p638xB9Fe3&qlyOC#$o60U?yEp{Q}u##
zVrXV8=2j`jq$$2xM8fo(7-<GEL^KTV!iz#9i^CPW15OTD<(`%L%vYCZ_KH4D3?DKX
z^<|77_`4LRME!L=;Bd4La`?3dP}khp4_TZBd<5-IAW<I$FueCSpzI*T>7zU=&fNDE
z_t9h&2hPBrG>DQOI8X+Ls}w49-ksieMWEpg;j5>RB?StJGkZOVQ+~t*N{^VKlt*<;
z-$0(*MUfoS2NS#ELj-&h^g>XNKzPG^CF01i4MCubL97N9Li#-N3_)yamh!io#%;Z7
zP$##**B5MGrb++5{8WCTZG$E#ozSxUw4>!6`oQrClE^*u`1MgKRE6QuH>GhEa?e#E
zQ&m<i(kMBK=ST%l-$!uxy7kXbWIwkXlk{@fYy=SkFo6ra{0v2ra-TQC<c!~kPd}jJ
zpqs`OW8K!5&P`Uk8&fwnN~!M9)v5cD5R{<|bp8BYqm?<kiWnE9IYqF-t_5ivgEn{r
z^4#)+(fr3S?MKC9cqw`U_&qqH5njE(D%4F)uT|5IkZVyA#CeDallJMu-D*hDcoevN
HE!6rSX898u

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.settings.doctree b/docs/0.10.3/doctrees/dataprofiler.settings.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f768ddb951417c0bda5124dd495f817b33cb0766
GIT binary patch
literal 3158
zcmd5;TW=gS6i$=uCY#G9X=z`YlvGfWiX;mX52#c^s5}vAK`r5}vOF{1waJV<_>ycu
zmEfULEBUSF@9<yv5xnzxW@oY+wGuqRN-K?zkI(V>{GH3Mo!?J37OJ1$G9?#sa!j*K
zs*IW7S2LBmf=L_RgonR{7vaG7G`%p&>68V(0F9K3Jkv~u=fU@*x)r%Oo}OPZEVV+(
z_BikGE?;>b4tURZtgtzo+48H;n6*NVO^7;BS^l0)qVJiVm!Y}`4BhhGlESkMe8=}l
zdsV*VyVDyE{c<iO3qzMszecUqB5@Xx#YmP!X5y_^(wrItA-+437WLO^=E|!@Len$N
zMp4K46-&o)EATCTmv8W0zQp(Z>EP5bZ3bsXGMWt1Pf4lOkBHw4zI{eCE0r01O)dRS
ztC7f=9^k@eP+xSAVFT*b#<7{AaI6htyLYna629O&LS}3-16PeCe;={%`+(~M{2$=|
z5&jQjT!2Q4Dw+eoTvDNf-z!w+a`wgkTO9_!TkjveeVccOHc-bu=0`Ju|NL(QA2Dj3
zW+c&6rhG2;K^uE{`6vQ}2;_KQjoxu#pmPK0^n4Fgpkqx-K7)||@QIQmF^04K#_;|~
z>3L%{+3x&9<tzR@0R~^yk3Z!1BE{bM77?;9!IA$Os^-;P!rHqY@W+0&K_{?=Ml&+n
zP%4J81{+It)cmj}=ey%>6OkXrvp0M{bvmXjX%lp#k<^Jg<JRxA<z%Flv`l8fcYmO{
z1E-sM#J7gNH)fJ)YLyOHfV#|BT9jC<*KP=GpJBN+T{@j(wP{sKVq(W#6uVB$m&@R9
zj+C-eSrD|{Jh|aFV=a@eAQLdC2$1w6J4=$PB9=%4lXq(g%ULBM7s7JVloxoM9+=jf
zq2GvQL0giubC!pbMZd;r-Yz?ShfM^qvd9<HD0O@%V~HEXUH^h=iTr?uX0(8$XEjY(
zymxrz`$Cq^5++lXK`Z#4v!kQWkBq?g?))ZUS}RRBl^JRiaE@0^ZSY&l*?B9S$_i@9
zwVi7w_%FU+8@;+fb98rp<Jw8T9Rn~xi36V;0R_LAQ#p2Y%m8<W^&&cszol8KbVf2(
zf*f!YtKHCd(<<vD93n#%W+O2PyzBeaSw*fyeo=r?o0%(0(k1{<tpoyu(~{=V;8rC8
zw9>@4zY>*(xlEBs5&5*uCaCd@%$}?$l3H>ujHvm!MKWP%lE*+|ZNkBoCL8#n-#{=1
zJ&;yy6O@^%k=Pol7Ii0n!3mm8)WP#cYZ=~q9j&=tf}cAvr9c}w1`Bgh2phgx`17xh
z@0YAZM;bAtVp>7A5hV%5?PG5EeQs@O9t{Q;7Z=CnrR7Q<D?J`$?0f)CGYI~6JW*W*
zCx~SQ9?IfjRv|xn@X2RDwy#I&H8)Xm<z}~WW0k_tAebFhZn!OSxae7$AcZo^!^x`O
z10f62=4N|+V#>&n*M8evN=qk%i!smf2YHus6?wm53W_ZI$swr?fVx$!>m|umN~h57
zr5s%(#lzRh29zrZar(@aa1jTbYHFDlf!AP<N`)MO15H)98S8{`$-Le+D-xC=Q7_?(
zGiG7!cA6`CMp!{bPB3(7R*fOA{1TJrac1$Wb$viWf?nwV0))53Qaxs<H|X&@a0I$o
zOkJQt7AKS!s9<x_dWwM<)<*538`A;<5acUSSby_V{?zzh6xhoWV7&<ZbZGefIAlD<
ztn(PXwp(A|ss>Moy0)e8$Fyl9P3yq;VlZ2TSFsQL@xN+?&Tr1Ls)A%Q6)3t9Q@~V9
zV)1D7YV2nvwH{ssEG!b0w?wT}-@7JkwR>|GdyUuX(9JpfXad^Cu5<gkt?AB!Uqfk2
zm5YTd`1MrfIoN_2(A!p?OyzIzqA$Z!Bqs(Yq&ucvgQ{9PY%AQHc)b-@JX{wt&0U7V
UqQ;SeYgsJ9(|Q#L1D72C4V@+4!T<mO

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.validators.base_validators.doctree b/docs/0.10.3/doctrees/dataprofiler.validators.base_validators.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..206a44930fed467b2872ca5948cfbdd022d13b26
GIT binary patch
literal 26747
zcmdsA3ydVkS-!h{zwTvwBfNK)wj<~El-pfDAfUx|{Em`CYdbbEkvWZfW_q@}ZgzUo
z-Ltm~KCp!YKBs~JPn4M8ghU{jD3F9eP;d}JR+JbC5FrwZ5K4#xAtFRr!a<RU;QOnp
ztE+pudwQHR_HxqQO?TJx`ych!Uw{Ao$i(}*?mqE{9}2s!*V$RMo6U~jbizKLZu*Vh
zmeYy)Pxene+P~0W<}-nPKJ<G*!|C&VDA91eb~A7~{j+_3kcvlMJ6u)ur$VO@d45M%
zcPHFQcj|0^*`47Nkr%Zc;}Jh}n;kmVJMFgDv?D(V`&1Mq$M1J`Xb6J^-qRPOLbI3g
z$*zrYM1A)NpQ-7AyJLJ(jdz2Ox4n+j-{{qCK5Iu&;MIE(=1KD!^O_;eVXD!#!w@&|
zd!l1+$zRjWUN^a@+l_O9)1opxJ{8%U^r-J1a+lnB_n1589_O2DKOH(jxOOh=ICg!l
zab2w&_zY--Yj@vQ3!JVWuH9ir_C0~$^4d<Yh5?6ba-eINy^Z4H!Roe#W3>)=YQ}XC
zVzwvF9O%{EeSE^}G@Ts-PKmVpdd$wf3OK$2f3LycllXgzW(u$ZPt0$bk9Tb^=<~HL
zzu9X$KWSAQLZ7e78Y@*RxRV=E-|o3@a#swvK0GR1Eys>}fm5pocBkQ{5L-(STFWBV
z-CZZ3G4IZ%<+mzN6DaQo$}@ZhOlEHecGoqK=J(##gA`bR!f9JAKM?JPPGr@0Ew2fj
zz1A-E*zns{wA*zoyY1uhycfBa7ll^fgk6%9ZO5Yax58D)`irkb%Zbd~4hq~V8Fs@x
zL1IzJEkv-lfUoxgp<=!Q!B(Z#iq%fx^wPpG8G=|)P5f3bta+Upcx=;IK4mR?9ilM=
zq$=Z_>hl{aO2(?uS3g%uB#j{I<512Gga2Zkx(^x{PimnDjYQ&Ml;J;aw7<NwZb1mF
zhb^xY;onx<x1-Zw&rZwRT(_EDBRXZR+-%i-zb!a%8NJSnwrO!7Z5J;H?gU@1I>VT$
zt5-;PbrMu<7xU^epTn$Ix>x~dbbNsZD^$6-c2b&eW@oFt9(HY7!=_OMntI#m6N@wS
z(o!n?<F9R<l;#(bUeIVp&?rlwIfL{u4N~{gFh5!b^EAOMF`lN*2H|xdb}tZ?znEa@
z{(?|17~oMcK%wNE$O+mWmN0{rt{%>qnja;v>!!?RF3)R5R}{QKLQ=~DwSOmu2fxyw
ze54o@zQ5DAO$MXcKaJTxC1`TFm@;+O?R6Sa&(2sxeE+)cbv@JTr^<Tm4)*#7s@Fxn
z-^w)gl-ZQ~;aD;9BLj*+12x}uI!&m;+77H817BrXEb=kb&2;m;*-i0!0z1-aHT^By
z>-717?k>y`+@Q4)W|xrLz9<se!KM@SWlvarch{u??(>rswGN5+?z(JpgDCSwVDua)
zlY`N7=HT5=YK-<jtSR(xX1*_&RWkE^c7Q90K1F?FNMDM3Ob~{G&h+?FNsp#|XCUnU
zeFCrh)ikiwfeEbpkD~yFL05r^&F|m0uVmbp0I3PFh^4V&C(64W9WK>NCBU4tx$*G<
zZcsWRQ_dJvtV%xsws{gze=z0`K5wqoN?;S2o|I2xrj0LC8jamrj!o`x*-faFrg@?A
zVt1E!kW2HpgF)dGPfQjvbl5mqEONGkA|xNC=kAmb%^-oPs7l00b~2PLm@V+j=!r6@
zD>KLNg1-(fQpQcPAWN$*a9}QWLPN*%ac%tNs3rL@jp?sla!kbthGWX}Ff~Z1q=-F1
z1I$8Tz;@QAJu+MYSgZSdmJA)gPJ8x#+I*ZGc?ojA>Q3_MR<GR_7Ki&wv<@}h<3xrt
z`!Ob)7#ngGTiKA`$aK5J8<=JH7OetSZg-u=IV<w5&~dCC%L`%6TaoKnV!uM$Te^^{
zKyN5VtffiJo)ze^&sC-}&5^c@d&`a{a<I>;NrECXe75B|?Pe`ws>XXR__4%uLv)fy
zs%qBEoV|xO`DFhp7uO;;Z)wcY&=UK~D1fssODg>h{U_Or)U}>O-EZy=j1-UO>flW$
zDxTyFO~2+v&emY{ge70MLwn?CO)SOOL9SSx-d5cS)B=V5X&X%hcDn|{5grhuEnaMU
zv;V3L0iPqk9DFHW%WL!>H+2X5L$s1HZP-f^t{3qiU|Qq{tmTXaL61_aPIiIW#}CJo
za<;mz9eOD>I-~K3S7YN&n$kxOq`S(j5{5>DXt6_7dWp^BzcR;-xqeAQn;>#_x^1uF
zMg5CKh9SEQ4YLXS^EjKNp9CM9!mrqfW*W8qr-p&H$S16CJo02_Pa;}KfxE~j6~}03
z^c_q#OAJGKXS|zI`7E*T3d)uv`5hwh68p9&%Kjby#X44*;R%DEklNH*RxXkirCxi1
z+|>!+Hv68@1doj`;mgMSlxe2tCxra%z|{nzc)*1uiFx@hG*!UM^vLWbyRfsvC=kyb
zUM6i+Evk$3plg}tiU)1*>(7ee6&E%6mAw&#g-BQ6R~uyu!J$nb)5r|)>i{qX{F+m4
zLDDm30F4mOJW&0c@DJzS+lPQfxTd(bv`O|Y$>`q{j9yFvYV{kkD6J#CdU>mVC5!&0
zD9ZjC|HUk%7DD!S#yvju4rOa9fza0)Iw29ii>aGnl@C`fdmp1pdf8(y82t{2vSHtX
zy@jc%M-UsoumnaK2F#r$_L&MaQ|QugM?$xp5MRP{F@V^3agR%fae1Xb5|yL@DxrfX
zF<oU@$|3AmxUc9mFJlfXH;ybd1(R90aoE=}JDecGM`&D6b$oeFb&)i5O;DIl&D2<5
zp2OaKkl!L*oMffETu1%&6&*^-@ha@WGC%!888L93_y&KoG1@#=Ww|T<oNlMOBV7qw
z^$J=Rgf#x3R1B8g^X^WHDPqS3{ORobx-S2{J>gQ9locNJM>N#43CUtZ&b*a|YksUu
zc`du#eP1qIaG4u$u{ml+jN>=-II4Td6K7GGJ3Mh3l^Ebxm(It{_g|bqB^V-xd$8D5
zbZvPD`K}_>L5{14o|ub=;VLS0cW3STJnuHUE7NfCs$|+RC4M8}K{vN4x$akXo5V6_
zs`Ml^RRixruQfZHsg;>WKHlYn0I72z9B^MVzr1T>ms1tON*?SX5T+Tm7`R_9AN?f*
zF4vp=!Sc>WhpwtOTY;B03rfX4Q`8t*yfnb4&920RfPA8<E`eM7*>aHbb=9B9ff%w=
ztgD_c?;xKAR0lZ%Oixk*oM>cY2R0~Ld2a2mW!lP!wLyi7vQ^cs{SN}aOm}5akHR0r
z%fhpryKb`g8asg4sHd2+95~ZE0Ack^kEcnKncvHRv!X|P937WAb<!T~+^Hv^vHyet
zCSBX?6TpN0KK@CWAMDe(Q~f}dyxHtC)Y3sByL4qMV@0@6zo#s|UY-3hip92z+=7`d
z>}v{L*vijBrkHkJS1hefF}6bVTVijjOh%duxvck;ohl$-R&xa8&ksUAd{=JzpVeN$
zyrnS}a&gNjfW|KAo2b(9m`%XmIoosguQ_8cb;uos#~Hq41Str2vv5$;_?J^oIQD(C
ztEQEW>|hU8o{i~VI*D4^9UA-I9>7hkXL){PdX!T085NZFy-mtF#XF7oGED|Q(`2!F
zB9D&p7q`U_i;J2I!$|((ccbA#fQ0`|qch-t8vv)k|CUp3T##G?!{s%kK3g_Xh}lS3
zDfLV2{vps1iptw|uPFNJ_==xF-zFy&)3T5pF~9zfm_{zY(j&8%?2?)0SHn`t_Z9zH
zrn%xl8@&3bVtB<xO<rY>p>S1S@t>n?Avl6pH8KOdIsi-oujZ7?xP%j?%{&12W@``U
z-j5CeYk+%8n~Z(M8x>kr-b_;PS=V7EDvl{%@wzBFd{xrEVWqqEwT4ctM`IIdUM=Pr
z0zvtT_fe%G>ydHVUd>&6`6we1?&2e;QD*AVh!wyz;*kI@r?7Gt$Cg9vf-SEk-Nh`n
z@HBuqPUFWwWD0u7a~iX6!bB7z%l?^u-HfTRf6>3bg<qH0L42crt;AXu!GIJjQPJaz
zDDLYj7G2fdl*VwE_=e|n3(KeUx%nXxLuz+Ael!q1Iw_~4Z3T6i7Lj*VX3ThR@c`9W
zV)yBa{F&Fd_f`XkmtrU!`c?3gyBe*$7b?pA<O$MjlbXpmpl6Kf(H3@*8+X#g-X1cF
zGWT=dC=!*xHqi7dvzOdK%TRU{7NzDdHa7RDxeVP)F4D_m;kqS5eb*n7p<53r5nAL^
z>Uk2XklX^F|7r%a#NOeD@|r}@%#@1zFrrx4Q`C$k&!h?-OVj4*Oh4(h3NK=bSZir{
zBXD^|1}>+z>$D_%h?-eqAHaWQs|TMHVb+aN!ljM4VfGB#Pa;HgWOhyn$$2~I^e@U#
zkta|~?2Q-^Raj|p9Cr)~QTmJ6Y40VSBKVQ`WXK{+E(G>@l#{`I?7j3;#`oP4`$G7Y
zci}a$ZTW5=y&7hV#R#E%iNB+)h-NDG1!{eXJ*PT}m+>@TW$ZBF<k)l2=i+$mZ5=Q2
zfaA{@Z;o10^t9)wyikJWS0t8S9u-UWw^ZZAnK2N;80E`)`wWNKcPhRR@0^Wncvy%m
zbp0lbmi3YAuEss5trtD1n7iB(1LllgsB~-M*m>RRHdpV!tF3oY@FU(jYZ{k1C*B)A
z-qjVp9QP3|Hq*%frIt-@XfldD!AqqyEI)#MQP<_4-YYhb##$La$%(OeId%l_73RsI
z%vHojr46Vm=E()Bh`X>;#;Ja?><aSCPfDE_GgL-h<sThPqf+{yuK1MZ%JL5KPia&K
zIj1!AB;^iC=DJkE)(V)6uMe2ao0T%yT$|}DgU#s24(ZO!(`H6XwGk967HqjTFR{}S
z?i@7eNeT_);H>!U^sSj%nR(@tq<j$Ih8%27#gf7HUFBnV8Q7*e8xh;YuogbaGOo`Q
zH3n)PsE$jLC9-=74pbj5hb({4J8~cfUlfb#6XhM`^M&dlhdJp<ia8TeHQbbgY?F7O
z`rDbdGAwIQ!SqFz#Cr@LsFsT0ZwVMPy_O+93Y!csOXsS|V#vk_4ceAw&Q<kFog<9n
z;$eDie*T9>m5;%~OTQs1JE|;zU&uq&pl9p`kuMG9qLARnz5_LSX}85f6N^(;ess{F
z5-+RMPFa#f>`cC^td^lW<;zujNJBBW>BxVm>Bs(qXotA^$|R)Kgw9m=q$MSQ{WmpN
zEH=sh?evCk`CST!6$w9-St@sOcqg5<B!l3NRw)7fe<bKX7!`E(-&8~HOLAxN`TLNh
zBo)DKVM0N#W5Lr%KfO*E*~niaypH;nGD?wSg}sK0H_Ys4cGvG&u8rg+^uCz_1+S%1
zGh4lO<aLoSBl3_+M`k=}daag2sd~~qhqIIq#qUMb76FMS>~@HDoMaTT58)KiySu$T
ziG<1vQ$n=n=s%G~D9?wOvy+dhJOQ~(sQiBr2k`n)MjD^H9HUBFalxLyByj-Sw8yZP
zlkMdlc6e^>9=p@DLlGHpKUh<g0aw+LW+(6)4)Q!TDMb&ltrB2AShbLoiJpN4XZ=Q_
z7l`*NZ7^%Qx7ArW?;%H3%MM+LzGT64tby9@C?{av-e<isY~~r|w;{@jQ;mFp>gBaJ
zqdBOiyr2VmWU^9reNG?ZUXhDlyo)P%s@Yd;>+a5Un6X@p^_3=|LK1#TOrW@^X<CgG
zl5j5?E`?AW^=kYEj(P{+D>&-SDfiA-h~G5a{FUkfN+dg<#Ly`Uow#8L35nV&bmCf3
zv^;d;Ln{2M;59q3;=2C%wBTAH7LRswmX;m65%^f5NU%4NRZE`qttP4Eun@J|Sl`;a
zVwLi@oj}QVIICVCg=$c*Q>WI)T#=7o>We-9vPNd>`8XzS3S%+Dm-1{Z_Kyi1bH$z>
znLU+@y|F3EkKK4W(_Hbu4Wa%`F}&iUrckpc3RjKY_z23D0wjc5qcb4X1K<=0bxye_
zQk?MWa$%wfUQ45b^2p*gTzNb?gjEKVM`@FB<jP8gR#jjHnIuEbbmGXB9}z_>M6TSq
zV{gIkjaSd9_*&CVtd}pKIa5-L<%K{{kt<)PO2=cXFKa>l%nV{3?{_I1L}=L^%aH@o
zw!6&nwmv&+;g8a@H(5U~F6kEixl!6WB0tv6>zRkLh$XX36g{LuC$V)1qLb^^b*EFU
z#|?-w$S`$s{rcSJ7xJr7Oz^t(;B}|3KYhd5fr=MWcP=OgY_e~=dN?#O&8`|+G|}+9
zLSYEUOQX<RoFl3o+-0czqToFoJTJrv2kLFVan3k?=6{hx(4oW>=|YMKIgE%W3kaA)
zykf#7M3V%=s`me2CTUThoF*kxEa0)jX&mJe>AphKy<F)jO-8Drk|xvY;|Mw+rAAt4
zSWOi%7Vk0Rvzzjfsfe-IJEgaNIT2$`jDt_g<ID6*#xh=vp38W#HGm}J#l){{yqG+%
z{Gs0|M&>zsnV7bXRnqZlH(hc9`(q>5U8Qt)sn?2)!&m-^J#!o>rXfO@N{)(Ory-+h
z18d|Q)mbN&jbq<2(VRT-6~EK6^)`~3LYGPTVeg%~?w&+9Ip;l~;sw)L=Zr0Pd{9JQ
z{bbhc0RkY$tFH->-9A7&=be?bG?2smR;KNL>CQ^(=)a1BRUZ931QJcg-h$R%F^~R2
zitn{EUs6K&oNrTL<~s8YH}o6d3I{H2bCJasuGTO%^OQS_+|$?(YgcL2;##~Ir-3Z7
zC)9XionO3;!B7>3%dJ#HWH)2Kq9;>Yjj5#~o;#Kb&6^2jWR5nGGPGo=_$a!ROU1|N
zmk2EuzY3NLCWkw)C}rHO@et#vL<~{KYUU16<uXmh@5#mNlX`@o(jyeVvLj5gV<bH+
zyEpPfl-ztp5t_2)JF$00K1y7gAri%&M93(zz7ut3k#KHIs!R7YNQC_H#dOix^WD=_
zcRxP}k0?3sYdWj`e0)b{*XPp+VvFEC#RmkA=r01aknamA?V5c)3Fhx1?YvI=duW5t
zY&sp}1w+#RJ}$6mI@mjGb#XB#yFq5M&N*Dps>@!`#??aPH)@oPpPr(-35+X1F4?0k
z-;Z#Df&B3L;hFt>fj&oo{8F_Y<Y?dO<IX{P&#GH%_*?XqgAh$F$vaNl5qD~ICQ%dT
z4Hz<dR29@m0yg+O<?;`ZInCL2+Wj*J_^fNU_2mRV;_P_93Sry5FfKH~Cz?*Zw~6)+
zQrsl4qJ(IUy@fk7QGmqMG;ZWCJLq+~y{P7N8a^fB#ffJxYOValipWrSEd8+N1c4va
zT==~4K>^@QLq+mJeh6nO=~gC0D}8=E^CZ&*`x-ctAC&DTV~A@XOFzg|=7(txA%JoL
zQClS2UT7nede7c;fOr#`eh=Wg5&W{iY4}02)^sS{FuI{{5^U&1SwO^V;_C@c%R_eN
zNq*4oMSd;0#SeI3s)c56t6S5I2Vlhwqy}(;4o;EK;307b=ypOPe{!oEI=!Y}LsD>*
zI*e3PK0dQx))ZXQh-%wj=t&kmRBL*nU2oGwC}%n<PQ?P@p62tIOb8K>vHIW|Rjfvz
zbP%7GSfpR*1gXdA3=tHj)|w#s96qq2FTtWmNUFd&olP)e+uK6Ywzu#5r<W%9!LHNA
zmn6hd8qO;)1mtV(g5xoI5)W><QPd6B*VfLTKfl`D#o1bC)ekn;n$GqbN``BFeg)MK
zLqUxivipHhk;sbfbXTsq_D6y2!JyU1bVGNNZjQy>M93B&u6j<?65Y7bRvTT+M0Oog
z)QsHznQ49;Jh@fV;;DyUlj+zm^26b7C$e{HuD9v7@fZ9%P9IC?^Z9TK?u6RAdywl8
zKwT!T<z)>UVOv3ayx}6fVgrPi@&=Rzgs6S4*G0xV`b>%V_K4C07r{M#!|Sxb1F>Q_
zN~$94)zjq;JIH3(gskqOFV}&kevx0%K=S-^H3zAz+cjjz$3je>4|$xAIh}3#)(D@L
zDgrVI_Cod}4-6mGWJI)Jh9l?*>=NPIDPV;reOcrJlvwI6<&YG&(OOGiP<S_exCF(g
z=%)P5K1VCcXYo(SXXrL1V4_0e!A9s_g>Qn0=U7{AghOFcg=cG(tUl9{n36XNTgY4u
z@xhT0iBS8GlV|Gc87%gD?&}a|-IjPcUc5jrUTqMsyNGBG5%D3cKw&HQ_=3r_0`UbT
zP!tkQ;vw&lZi>rE(wcW<IedBrOukk3+gc7p(aSS8b?KQ@i!*VrqSDb+`@-Qy>)I9B
zw$zh-d={Fs;rB={_W2zAd~Glz*bb}b)a~m2lVFwi^xpy5M<fHZ2{<o=(v}@+1)91&
gr*8{3pYuA6cCQJ&<!{oLbY`2R<CQv;u7=hB1%Kg<+W-In

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.validators.doctree b/docs/0.10.3/doctrees/dataprofiler.validators.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d7b3ae21fe69b8563c7892362c5997034f3f022f
GIT binary patch
literal 4215
zcmd5<TW=h<6<%4|tE81=*Y1NYXOkj`gIc?3k%u5bo1!s_wnEowlQ?MsgW%3^m$YVv
z6OtpXiWaCJ(pUiB!ak%$|3QGf1jw)HLw`iy^Kou_DK?k4EU>`v@bH|&?_Bw}=0Bpt
zM*g!0I^`mn4`~=CGGyA>PAG#cW{Gj1xR;;0zq)(2tLTN6nF^S*4R8cpM4@7dd+coA
zvl|iVVR^o-Szv@r>f^l0TfF_)-Q!)`G{Qt|Y0LH=(MW{UNTr?U0@KdBZ0@zM?0w{N
zTOjO)ZKV|2jpIkQOKNlZwr!PGj_pn)66VI)gxVf8Mu|yga65mSZ4qj3c{_-x)*#}$
znb5fS>V#RkSWIYerr6Z;WVUVS%x^h<z;E+Ceur=KWBdN-J<XIJo#}+p$td^<NtJv8
z4D{&XJ4CTm>d^yg=-Wz8Ma0wy2J2B_=m;05V9z&(=QR>TrE$Bvr`NIx-z}W5K=H65
z*!J&am_@KV2kzEly#VW{u=JI}(lNj5@!-z^1pYjb{t^B!;{Ou<FXMvz$N9xh3U+=U
z2DD&67Y>(kDzhY9a$Mn4-T*2xFp4cZwcOjJh~Kt9+;DMt1&&ps@Wq};f+!1_hbMPa
zC#Lg|rG~rH9r%x?d7#1Dvq(<dm2GhmhKS26yI&ry37sU1Crq)>oi=PQ4?``J=n}j=
zg!e+Lhv6-LoL|2K^nS69nLQ|Pd~%^^nlk0+I*dQZxg{6@JAbqCS_#gBwe@DO_?SO@
z?8f$`4VVolR5P*&9`|<`^n3U;rTm@K9scf^zjwtSUGev?_y?yA{>Ll+r^4ISHTPg{
zuzpQWzRk6|wq>ZAu|>700=14adpFL*^kjqmuy!pHZBuBRanHOj{)`;^_`BxVlu?r@
zMkb0T0bfb8(E_OvAtDimkYRfHx=%|)UNRfV>0pzoNQte=w{U6$mL?&a|9@U=a_4e<
z-?KX@70TJ?3V`0&toA8yjg6xok7t$s?;9?8spz6K(;4!DFJWSj-$os!Gd7q?H4w;9
zBc_)g>Oi7#RORa%xE4k2-+<s>-@d4Q`h7#H@?bV$i!5muL7*4uV3$ZsHM)o6W%H?O
z^pcp~BD|L*ty0&7Z7&skbezo{qVBK!zK_H$+Yd73J29#I?p{SH`mgP1W(+)y!Q!Z%
z6sAfhhM}F<)*~8asO{CL!4Jl^J7Wn`ej-58>mn1GHZ)GL*e%o$$UeieS1vOZVYQE{
zOnkrgyHMBkCH>Ob>r*LBA`OZ`y?MH2_x+fHo<Qb^$=HF?_vxP!^g2KNXo$RBP*}ur
z3b_!5lWJ;!#_~WpMvU#A@Ak@&h@G>@onEs&PNRC+v`1`?YJ=ODOjk@z+YH$xn?YUw
zf~o{qfkQDGgVHsM2F%;-p4q-g(##N+1TqAdv)#;0PhLCG0^fI5HwjZpD#B?JV&nkM
z-qgT2dmuBjDy5lAarSs^XH5kEkL?#i7Y0;E@2qaDowSGk0vafB;1l6O&hAGvnPsR5
zfIGzc8k)Afp;#bQNYLRC98lxOfU#`_GMVCzfJ1~Bt}qVF9dFq_&5R@qlD#GnQTt&Q
zr=*TLpqdi|0!}3~@&XTX3ZPB2_x*yDYL<nP%wr!<his0~jiEy<PUayJ7;-MODB|;g
zghJCv<S$ZM*{-sI-?w|Xj7I#^a!}bX*+@Oo-11*gf*I2Dz`b4?dY|3JSW+($pGQ8W
z5H`sSQ5cC>828)8fB)CC{gkB`G^dzuk|2j{&r|ZTz~_b?aAQ*a`e<}<ae-E6xJ-sp
z%|;<RAAwVkoW1E!<fh;RF)W6o3>?z|{p7`0UIns!H4WC(c*;V}ol1?7zN`yornwq!
z;s`3bhE9+|p`YG5_80*flR7tR^NCJ<gk0G}eVG_KCtS>Ugg=6JCz3wy_jF8=Wglip
zY7L-n<m+NdA{o$fT09Oono$7v70Cvaa|m(zEK8xnzg_Z4uq*-?8$l7t6fsa$h3mdf
z=xnmecgQeIhDg*)=;93H&y~FyM3SBn7E=)syr&e)Ul-5pHcQU^Q^a<P`hbK)cwul5
z2zWz^`6-`okDv(QV(_3sC}8mQFBW@!g<3pLK!&twy=eKgz`F+YwkH<f_xP9m3;sF(
zEVErtHJ2$6^Yj0gWB&O#<Inr=FVIdt!@T;G|0T2g%Pz^~?FRxC%Nqn81;uAx#a9@<
zOey&As)7sSiHvG5=d3?iBi7vA6^Y$SYkuhZihNX1WqirLxh|{R!Gw>x5a7uI=R3QL
zF(U%hxC0tP`>m4x36S{6{Q;4Up#_<a7obK-Diqe`VVR7#P+wnaq(?<vbguH1%m2AH
z*x#}beht`_Z%c#1*Mk?nej<KhAoKt&YfxuJIE1Cu1GvR+Kl$ZWqw#gE+V|&A!T07j
z@Y!bBthVfqj}9c+Z^plR=sQO7;O8HgZ|T!5$b9m%LZ02N@yVlkw|s6P{bv3>-3xsw
MFRPv(FS5z-D+7#U^8f$<

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/dataprofiler.version.doctree b/docs/0.10.3/doctrees/dataprofiler.version.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..f62a48dd25d9e5df2266a048198da4e2c0bea26d
GIT binary patch
literal 3171
zcmd5;TW=dh6i%Dij&pI6miDDdafK>U(b!bt0hLM!74bkMgGyWRQjKPJXFWr9cb2&%
zj!-3dsMJdH*5U8)U-%Kc^Ubbz9Y^g0ynrQ3J7><!Ip>@2Tz>8R{^Qn4^>aJA<f533
zXp$5%VcNU(M8-B}h4F9wz2E#xf9U#(o@r@S%)DEHM$AQ)C|39v-VK7f5t$y%&-XNo
zjgUoqoOgJa_g?rz-gg}%OvWy3x!!Z8bWjf}&{%uQX2JAg<CU+xz%|!hx1_LZJl}JD
z(mKjlU3c!^#I0qbV18mF>Ncn`N<`Kmt`NtnNObVI7iUy!2=U!1XkLG<C$?NHA{w74
zmIfW`dWKHJmghVC7T@Cge3c)#r{iZD&W}%Y!Duv&ACOYXpAfwsfA<4Xtdx5EH8u2m
zB~y_xHHO1_Tst~WumSaIV{}?$Fj5+!-9El*BfjD~qDa{60#-GQ{6mDo?*Oci@V|@y
z$N1k1VF4K>s$dS?T1kcSZa<fa&Da;iciHpqR=s`n&RyP}7*8$#gdbgqdiGDFP8l^;
zF%l_S#C$36aT9oX{xE<8_lxOJrtkI^$Xo$3eb)yI=v2{?UqHt__y!;kV_6s~3OzKO
z4d>Sn3!6tw4O6Kqaf!F3Q#PtOck|zzT#)iHu=%QH#Dw1tynF8p1t`A+asFEfo42$P
zYdt;Wk6dq#mS+vK79!e^EQGLu8&>Ox`Td%%?~l37OnyI{z2XM3RUwB-o3UGsq|RKo
zu9-0)0*cXITU}Cxhh;_LUH3W7ELh%@C%!Xr{V6M$qDCr@1=!5Ap?QhLW^IPx?h`CG
z=1Z$GthSAeNyzlD3v->2LFe9GOQkf0G$3ued3?ofhtdWvkr|kjdq@U>vL%US9xA5B
zmA7gM%UC5LXTosO)EiiwAD9=QiQ5WwLK%{=Q<nMTt8RnStX+289-9eZWspO<QR=u(
z!Xi6`xxpD#1+apKVl;=OZxoGL@Y}z315uRL5LU!8ftGiDYtp07kF>z|{_-YaN=ZdH
zEfN$f;2d0yjdwfJn&n$M)h*r~T-v#G1^>kj>Pr_6G)MQBH!huYyCDD#lsNFo5RiA<
z87-z3c?-A`tgoU0x$BC>QY9o|CCC9Yq5e%=7iAztjDSNVD9bDrGtawjK&_EvA#zs*
z7`2_)yd*8_fNCWWAe<^_7B1YWB!ITi;q4cqQZt)KGRp&>cG(O?pOK3vD~iO1oC+;!
ze(sP&Xc}c9khzz=CL8#Dw}oId_)n`Y3d+pYNaz(+&$=1DU<BPK=-_$7Z3*6c6P>zU
zf}eXKr9hiv3KnJ}7sh|P^5<V2Hz-+&7L_ujVq8JC6(kXb_aQgjkQ-C#hvV_t+1aQ(
zH(VAYsixzEosOZY$KKrtCn{HPf*6+Lp$r~o9rB~QpMC~p2P%y(nF*4Gnf=C$krFe6
zU?#21aFb^+(Kj?g3MGd7<8^lcLgu8+&DMRQQPG)y<978qs{f2|G36QlAn#fx1MjzV
zPLX9lTO_pxP}i$<y(F28=^WaFn4`DEc=$TmfN}*PPM_EkCc?Z^4Kec~@CNLWu_#h-
zps5PiLY>eyTGrcTXhI1R^&GZ1V+Oa~h%-q~2+OI+2xc(Fs=4H~TV=&*7-HOdT_2E;
zpcf_r0m2(%sG2g=8+83W7y?}khA>be2_wr(RInv!J=Q>s+tPN?4QYXi2=ZPK*5CXY
zf1+JK2+Vm2uwHupY@+#{Fm^n_@bd^AxLZ50sKN6YuWcy&5pB9i(>gHFXp9^Fb?5_s
z{Eyn8b=wy?RROXc3zXb|C_t(up>#BQHS!lFwI1FB9Lyt`wKT0%Ke!}pwfjpq_8Y6!
zp=(R`qXj4vdd`i@cg=TJ+y)9;ENv)T-fhM*%fJ=HfX>!?JeR-4d%p5dkeV2xkn9+K
oHEL>Yu&r-P;>}iEv2arqab^>g6*&zA+(<$Ro>!|d7T9R?H#-~Q#Q*>R

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/environment.pickle b/docs/0.10.3/doctrees/environment.pickle
new file mode 100644
index 0000000000000000000000000000000000000000..5171298285f3bcf74078d1096ce95d7dd1cab40c
GIT binary patch
literal 644754
zcmd?S37i~PbuTPSvNRg)yJT5%%VSxR?VizM$;PX8+182{uOnJL-8Iu)>gjHGbxRtA
z0JGU9Wf($}kdTig{veMe5C|k8A&)OSvcG&u2!t&xdC4Oikc}6@4&Pbsty|Sq-BtH?
z&)C0wvVYZ6RkzMP=lst-_uT!}*S>AejB94#KX;i^EfmX_2d(nOVy#jhx61XVyJTOZ
zSjr#tJ$h?%>r>6E%`NV%Y_-}v?)K*^xq8jA^2J)yJur0Ev1-oH1*dFfM}~6SGu2wf
zwsLi6=)~zv&8k+Mp##}^_GGOxS}a+$A^6xC+BUd-+u%<88woj0caBrb5xu*O=sA@}
zEoT9lT%|l(9BaA@g=q4A&VGL3$uh5U(W=#odC2@~)4kTQ>J5_3x?H!)PO(yUn&&`d
zPeqsOgV{#C0vtEp*`tkGrRgr0>VtRXY_(FdD&?lT%J;Nbu7hq!$xXMfJR<*GDF4iq
ziscJU%bhEf28^S!Qc_z@cV4biov0PZ3INT?9ou$nyDjyQRkOw?Qim&*yi=^#Z%gfM
zIQ3#V^+>ja*};9ekUCRqRLWzwr4HA!<$CI1-YVag%9it~{e@c5!K9@uDGY=vQ~<|^
zdP#LI=oWPdfH2ZvR-VY#Wh>XH16bFVElAgN7kjTj3#AI6_e}r!hl|#wRJ{PamMe8@
zq*A$%s+3cQi}eQ@BdL1|^?KF0YiMY!ST8h226L71p<K3FtY=G=vNcp|j1&R*A+)Wb
z@ocd?BxyK9SFWVM+y?>29o1~TutnUIv*XrnsgbN>-FqBJY)xIgdf)j>f74xxsOL&q
z$H@RmunoXr_DH2(Xu7L~L1gmQXtq(RXDZb?84i|}x#QOO2xy`CjJtsUOjl}o6t{0=
zLYnKsMj04MtE7vq%ehh`Z+Va0`I*cmD|?}4jb<{yO|e|CYQ?&h_fkC5a2M6B@oFhs
zx10>h1cvMOXS`?4th+>z#n)gW!nWsRMzE+i-4(aoGFYrmlt(hTf|a{at$^J+V3qxa
z`gkc*FIeMNv#?6u7V9Md@5nv*;>8px=HAVPVjc`^^L+u^y=Mqg+?VpF6K1jbzSKpw
z3r+*pK{+|~Y`vKCWSE=b2Oz*AdY=Oj(1~Etbo+B)^_B5Kc!(vquUacsKr<7~W2srr
z8{nG-^v!7YBHBXJO$%y6#qsQz6?95RD`S<TSjNtvtb^4u*x)iHd;r+~5+=-moq`M4
z8cXabltLyrFQ2Vl5Z?_%e0Km|6C?5q02V>LoUuy46+*&tTG{atfZ)-ut(-BVe^ctA
zMs)%}O&yozBv;8>shm|RrE*Z5YEJ(!7-+F<(cKkU*ox(=R~|TX?C8}iJGb3&X#e)B
z(a9=}x=gq4(5`(u541^_#$3}QV>0ofUHD(;#8e>U2M4#|f9*bS>QHuSGVP&52jJgT
z5Pt9R(+>(UQ=^qy3fQeS>L~|`es<g;k5{jOryI%UE~E;89HCb%j|HX8g3C{jfJ?j}
zv)Fm?_8qsk3agT((Y2QyOD5lO=Z^h5ceij)$!k_#COUY>uKm02Y?G*!;=Ua__U&v%
zg(!}JTl2u%wr%f@U9D<U$y%vy+jht8JMM^LVFC=Ma!Im!;K07!JNC6t*GhNajyn!)
z-w~C5q|{Ja+IHumLy=T5RV&SH+jj5Tzc-2|mf&(d>oL21_qP4FcSzVudGEHJ+g}oi
zR&FBesTPRt-X94UrfQ|RW7nOB?mQI5#H9i_Y{~2XUHiB1i{zD(wNl-?eedplk$M%C
z4t#)K)k=@5qIU@YMRC&ljVi9&=-<_TC{hQ=SwPXjic-dfRJh8OavJKHVmS?7sSd?X
z`WY^DPHKxaI5wDK-?p`XcszT-%0g{{bx!|q*}CK-==q`1Y&kc<1g>7$)SrTXP^>Rj
ziuu$ighHhhlzS-Hm!PIkjn<%=&JQ~EiBxekHCD?)Xq9tP^-3iL75^Cgks2-5F;IXy
zJXHlNA$r5W!Z62P#WK~e^3!4E4Fk{lGx>54NwjA?d%0kt^B+d>`A<%m&0hp5ERS02
z2dVUq;n9)GWyh+Lcmju%_i$&mu1BfXC|Rhe03~|3ZSeNw#D+2Aff&?sE)=We5<MA4
zsk#8BuYl?<?@_l>E5hRoC(cHGbrTaggh1`DjE_Uec_mCzJwfoZ`8))E<JJ1`9*AS=
z6CROb&8ZtwVzeK&Y9kO*jPHTyA0p(2<w)AciupLoZAj#WCAFu0G#k%$TjELu$Ds5O
zkDx(mU<If6aw|Q2shF=9hWFGfP(Di5Xnj0e8!MKFU%qD;vE;Xuba)RmY{rY_B9;Y|
zU1ELjcI&ctQ!0)Z>-40S9UHUq)ZEzAfAz|6HCr2Ql+ieb_ee6M*^*-oTjjiB5PS`n
zb%={aQ3u2EP-b-DNsEOAz`rtF9K})}{%Y8Q47qq*fZ&x14VwC}cL(K)-(zDbOhA2`
z9){8@4cKFg2&ISf)$l9-r=kRl)Obf+lrdbkYErZO#b^<90#KB!@)$rRvqYDPk(pD?
z<|qgOcsPkFB`s;LUfEWy`yI2>s8%brdTKnIt5qCw%n;RQbI_C@OI4~?8Go^<mn&5q
z{F^vK-{`f1h&3mB5!zJ>CBi4<vY}}eEW{9#*Xoke)hD)}6HXg#g=F898n?1eqh_Vb
z&_`h9Qz)#!55#TBa`<AsQoV9zU^{+)^{Svyv!GMqqLp$g<8Z<6Q`ve7nq3g_rz)f5
z+HXstT|lS@{6JQheEuFYrmwCH=ZoXk<!Wum;I4qLyVY+9z|yUL^x<AIG7d!pB1foV
zp=AP<kpK>AB4A|Lfqo8X@j*>UN+RY{DJZRZfB{<L6IlLo;&1tO54Oy(NM%zy2X|SQ
zQ^R|zrG}G&5($4oDTBWUcR=y1S*7e{`4!N-NFqV8m*0zbSB8&5`L}#80-}mkSh2!C
z&y^@L>EUY4x|p}B^+JNQz5;|6!&Jo;iZJNg$H;x)lY&WrgNrCUh}tTLB!XoJ{|3)<
zvBg^G`6jIVr3Etn4#x*s50cwbC=&#UDToIMEKnd82B^7fS-(l{DOX0Iv2dYYYk*e+
zpeMi(uMEq_!rRH`SHX!QZ<`Qv0M>y98gx@&uu&tipdQQ>fE#FijaiU8v=M61Tu+Tm
zfQ>@X1nIIAeXxikbJhs}!Bj*Rc`C9gVlM@bRTLueP5;$R5TWI<IC%agP&oUkm`4=g
zN>ysF7v&cqYAL_Nf<w>}Xuna-W7h-~Pw+xeWjQQ67R~Y=ka^4+t7J?3P}X$(5;X#9
z#E+Ea`d=xl^$c6S4jO9sbDz7HhAixtDcqxMcN6%~Iyh?Kim=KhZrj@^yusQjJ$PqS
zS(FN5*s<Ow7qA^VHzZx*G`4TsCZABT@zSRKi7~6FoK(%(p3~vcVzebGE5TO5!7{mY
zj(XANpnV{M>AZ@>A^LXUaZ1*AzTlpNcQQ%RuV=HNV0lvts)=?~d`$?ydEcVy&z2DX
z>JvN8J>gYSV-PS?Jlm3LkLbIDib#}jaPCxBVerfGKl-8qTKjOz$4?Awzb#+Oj@Hjz
z8Q38`1SHx+&V%imJY#D35{8dHg7>M2P2xPZ2V7OX0?iGm-#hYp8%28eDiVTq02?w#
zhsJpW!tArkl~fJN64qI_fd{1u8Uuq%m0E2gl^ua*7_=y4J;0?Qg*9ah&l28N=nO<)
zgSxk^HFOpUSOiH8vb|tg)vQy6`n!hekeCZiMPrZnV}v@g=Q8^Ll9jDNs54%vO|Y6F
z&VaBB%)qL(TF9{P-4mTKB@2Sk+jH$V4trttjcF%4YNak_YenqSN53E0s0{|=@=i9x
zYZk;xqEfg;5ZD9N8#k2773d(_Qz|-j2%Rd!oAGiULfH`u8W>}>N&{MnxojO{)bpF~
z9nM1hbJ2ok1vIcdqaYd%)}TNOdLM%Z-IDAIe!F@2<YR{)cb<fdphgqf1X>hPTvNU1
zj9Ad`XE7rl-}fNjH<AQEv;D^eR?D}8_}OiExeG6M<K=$5Y{bhDUhcz78Yl<D<<X1a
zGp?X+oLlY{s%0jz+x@cTz!-&<&lRAOM*=T{|4?y4QLPH}$aABrzv;M($Dw=Q&R*V$
zV-YycMWb>+n*Qi7mNC>n#zO#GaQNz)o0^43E&OZd@RlZAwl*!xT?8$koaHzNi6I!G
zXt;CzV;75yV`b3k1JL`wA4fi*cO8Z)8e)7<eC&I>1lf88_u*u+07kO`eb-jC0RsxY
zF8jjXt4-{fUr0Ucwy!ULArFXToW|&A@p99h4}A|Mj;$f{`6qDT#L6Ei=ITutz&i!v
z%pQck0T?%ch64DxTpgMldF+*e5hotXfOj@`jAvx9({$$!mPbHE7hvoLf2@2al&0Y>
zEH}nMw;3=ikc%`sR|NVn>Tp_w{F`vl5|Tm2K=)7)`n~Ycwe>9a&AWYP@RuI-qd`FD
zawP}(_8*0!g>fh(Zn&#uVSs_sCmY3@1xle29QTkM;mYO9wlfG#xki4p1iGcMt}NKV
zP^mcL42kasZD(l5;LgF@y$8^afQL=@x`-_NSkJ@8>lh83xI3LfcE_&W>AlvDhhIK)
zyLB@EU}N{=6AupUdi=2SSb5~u@of*4PK+NpY1el@`uIy8dg#L5dl4*XhB`3z0v-a!
zE3?o`I5A#npnTWK5i&7sl>svXyg+^&7n^f23%$NLs<EZ8u5i6O3+ndf@u!=G8w#ny
zv+#$z6l@L0lEK`)LC_g6{)PrbDc2V^6yAiNY%JW!pUj0;6Er_z!0I`Ea4ihlW+%Mc
zd32i@9j`Z!bArB7wmjB=FjGF54^U-GRtCnSX{2c`-#g7Lf3SvO&&cm+ObQ1OVet1#
ztx~C99lRpnUA+QEd9}$O_K!o)kX1u1fTa}6c__Go2mFkl7oMjlg<@fxUo948!zzOv
zf#yKPjrwT%&a?yNpVRIt?B=u!M0a2Y#!)?S)<8Is8EurQsS4%=-Vhor4k-Q^{%Q#(
z7_a1^OC^J1crVriRO3(%D%9Qw8y$sW2>qNHYKS(U6`4AP%B2jCBRlfpqUyvLjak8{
z+XV4~Fu|aj9D?z*2c<`FEp)L|rBQ~;g6=5nB)Hwha&$8@0%Q0D9noKi^?K$~wuYS`
z9y3d^%LF`yqu!honXLl32?#K;@$pI-W-mbZ_hlGh<c#{k&19@<5r?IPz0e~tOy8qr
zq$q$D+Bx+MlvA{C)(-euh#qSb04|P1gAcBPF_LvJpl%9KCQia=9zTu>TEfr3Xyhz}
ztMCS1EP!4ZYzsM=Mh$GADfE?#^(ypFOf;XRM2p0Ih8;LaL627i9|MqMV0q%@9CmjS
zxaGq8fyaZtU}zhn!RC=`SpP8C&KXlhlz{{=#GQdYNcr_rtO+vKlQ>*0{HI`bKD`ln
z3ElM9OHKwtkK*WrRM&ibl!N}B8Vq+zg*TuLodMZl>|IiGK&SO58!+VQX?mIOSqAHL
z9QB>`<N<I6r0x~|_hLYtoR2$CmR2h6Gwm!?QhhWwjsy5ud(HywgWsVV#u7SMNEIA*
zpmW(@;GgCqK%*oeAx(xjyr+-m-OO-j<8yRiZa<}f@(A9;o(=PI=t4zBz447dd#}ZZ
zG#FpF-g`WszT(2zETp{W%&e3Xtk5cRewY<k)xZ+OPteWa|4!86p8G9q@JKGEtY8KW
zbghpTac0BZM)^Xya>+-T*>PZ60m`@9FJB*h-YDkzIb+09<#29JbF2T+7$mghBf)RY
z@@4}Ft0a;z;|R*2m?l6k3b{hwV|y7Tk`p2V>0H(l%=ZvxKa1(I6!;kC2npNuk~&Z~
zfr<U5p9SzB86E|b1!D!}3L{ATJVPzF=8+lv6$?au6iPQn797g8LIedN!_~$!o;*v4
zGK8GDT9M|TwCI`N<J^^6aRlbF)LPyzrSC661OP4*s{yFS`e8~?@#XMIw&bx;cu8TE
zaK043k<H4v8uX%YxbOh~aaZAPPAcYg0J(am&bBJv@Z6F><uH%v(!`46Oy^+X5dU$1
zVGsW?Rw(cv_Z04>KitLi6*$aVHo%R$lF31po8c}fs0FFke-qj~2cZsF)d+;+5Q8u^
z{s{XD(SKx1KoWee_j)<eWLJ(z6d{ZTiy(^p4(rmY1(72Ln1JL8cJG7IoeUxcm^+5E
zQ6NIZ8FIBuWdx%fjBTG1e6UnLLL!qD#DIF9;mIvCKmHryL!K$)GZbb{08xd0EMY;<
z`d?stl@YU&0y&XQ@(T)_#miO1hI;Nr?z0E$5QO^`f~?@EgaggxTmj=S(iSs>#ZP|A
zn2V`Em|4pU)-N%n!a>20XJ?mWbt+!)Bp|eYY#d0GS&O2<q5`XHDX<dU^ZXy|<%PNg
z=IJ?5Aqk>vBwRyc1t^;>GY3=RW6pp@R*{a7PzXZ$@VR!@3ui071m99afBYO(<3i~e
zo92ZZ@ngcGVts@Wg4FZ%gcLSGs0D%(4y|&<5n-9V8(gwKW2&Vg$ioI#P1d$V`SuL@
z2zV$A2Lcjmi*liJ@AfrVpy82+QRR!Z!Ln5!Dp$v05+0@9vvbIDb`1d*>GAPWI)}Vr
zD}_0bt=o`J7RjuHR}8jiTRzSg9hjpqLDlxm;U}=sd#-75B9D-0J_|r(#ye!QTDYH=
z7ETG`&<BkMgh3*j12kUdibqt7FOl!Dr9gqlGxi5Sv*>6R$af8_>z?(VFO$!)jU;B`
ziMr)F@0IdHFv<l_F&g12W3@~J4Rr9WFw4_{$ztH$-L;3#9zB{mzW3O{)IA4}?S1g*
zp1lVSoH}^=^nFb)^OfprZu`J=!R$DAtD}35A3nSHFnoISD0Bl2R%&Cu&lZUJXk}>X
zVI#MSZBkGSM>~u8t?VkG$f@wWy9B!bvk)(1S+5OZ>d++Do=!fU1F>2IDz17nOU0(2
z+2VSIo-E-fFq;_+om{wxh1c;5bXok@I85sV4_j)Cmqmyzgv2D5p#qSR_gYR5W0@rw
zLn>uNhXJ<Nj#Hj1I6-UGLGJ`jU;RI`Tw$Fq=g;UBRz(n4L$e0IDjX{?<yD--S7*tf
zhKSD>oN);D$7q#kmVz+X;;NlR?}UB=H9Wl#^AQ1In)nI+RHO%QO;bl(8XoJ=Kk*A_
zBvdYe--3P`=;wgx;qv1}zBDiwSvE`7s>j&Jf$ge-l?AuteYn)00)iW;iH}@E{P^C$
z<PQt{ya2)X0=m3m)C4}cw)GR3l>qSyID2}rM&%-2C>h<EFWV@L?0S_9I+VeDa7qP)
zJe>RCJ++Tf=uaf)fq{y+0z4U%kOlq{0^v9|B)lo$DJ=4-?2&7vJuk%1m93C5xYyxB
z?2VL`hrJh|X6T$2hPxc+0+cMSxMkR5KjQiSrBE`9<<ScELQq$qEWbhS3fDucV%1Do
zJ#fPbm}3QETQFqc1)nrH&z&|<%#Rfvob8Y;0|t&)AeYIU!Ub@NeC3<+N;+F5Uqlul
zk9VaOw@>z4u#K*i1j-<xRnHbn&^^%*y20=3QghTl3yqmu?oGe)##_$|f4h*9;EWEC
z7~;CwjWTo-urFRt?=bT7Vgj#Kiun?0(O3?|3e+y`zYLSCq1&MjbC*R0usD|~<}=V~
zOd&gDC%yhMoE;6-bJV*fxeR0lQSb$80<1ev__=c-5FIOLfn)xwGD`E;D-eUu#oDZd
z{&*fXR*GflrU0joUBA$u3hmv65ToLRZ0G`p_Bd2!^#XM6=3x#q#2`?o68nqbJ(g`0
zA#-u3Z1AkfQD;jAx>RJ*7YT%nt8>*Vhoa%G7b3ir5=5$D1-|N_2zU$ePGbx>tz3XM
z+p`csq0ht5_yrjXt`Cs!)?&Y8H3OY$<t+9lXK=<aRH;ruO0*HCSr<SYbp4I;lTgKA
zvp1iqPgG^UndlK)35E?N%_>!)UN7fGw;Jd#&_e)Sr7{@>5zD<>`4z+q$L(`a){yxX
z>UG|_h<!Lk?BKZ8DyN}rdCAtOWFl|b{or1+T_szjl2HpHGM@`0xR@so-Rq*tJ}GMP
zv?8=b5rX8@H|6o-V;NSgKwnME`_<}O?t_!A_gRm`T9pKPv>{5Vjc0hmlutE2&B2m@
zDjUDO1YDa($Hyl3<~D=x7pr`@o$4+Ndf^8EO(pd@m7Ioqz-pkxVowMZVx>zT7+x~&
z9XzLKtx~i|3(%n8F@VKG4W~9V0?Stl#YVjdO>t=pKE-)-`J1KQH}Zx0Dy1@lAema9
z;4on705o%93N7?ID7`NM8)E}*)4zqiwv>WwcPUmYE$J8gYc;4;uo;7P>?Mt8{Hd2%
zpUQ@n4AY;4hy=@28<sd$Um{XbPd3gRgI3I&FyjT{1%)-Z`Uu+h7iD|R|E{(DQP^DA
z!oF^W9M9ktI~kh$3Y4>@Y9Tvf(G)QmpUb4YcF6N9knwo&vX$p#g{_5KnDjcC9yG;6
zB+3`bYC&ZWV@c2g#A$%4ZlIM)@HIIk=u(DP?mU$*XLFOx2E7&~0*C0;-WhIXK({IO
z>9)vBeh!=-XrDSn$Vsn~^hBR~5o!vUt}Qq&yg@kowK5sh0g&P%46g8+DX))yxi?@y
z%VfA?$ejbu7zUUHD{JK{yUbXn0<jE+Dy%E1p*3C#sBWQ4Ba~o+mq5(nfGP+AHJn|J
zi9KH*N(SBd7csDlPl>Y%icq9lQ{Lp!#2O@<htUS=WWtVesJXLP7kld1*eNj%XnHAc
z?v&CSvhk8H4I~Gdut85yE(^SY+7%jv0>0p@8d`#UwIcA92tDLW1sLECRS6C{lX-gV
ztn@w)n3w40S8(!TFBzhFLjx)U43;w4GN^_c;9mT-oF?aTCmaOG)hag0pdW}tUhRJg
zqYecTxI?QzL=64}GMYb5?+OEjn?womhFEbP7Bv27JV1^=ssUKB@DWDH$GiZWDXjD;
za41D(2z5jrQ!Skga^M?2MrV(aHq?!mp^L_y4bDxL8bursfcf>J@7cZfcAR}G9N=1y
z11O+XSp5p6&P%xK_H9*>u&}9cGxMxgZ3c(ORCdKOEXBeI0x|`+_rxaW++9NPtGw()
zC!9!Se;1-1fsL0$V9(=868gd`3$G%-UU+rkDR%HGXXstW&JwOih5KLQ(UWggtCzoD
z?xlcnuJMsFv=LO#uTl_1!vG%)ay5dMrczMd#jX@aVk>ggs?iv67jn-Ntwn^e?Z`C{
zl+siV@q|Nos4Cq#G<_AtUFR+moyedi>L_;So)mw{^~{C7!aN)^rkNT%i2G(3x4Ow+
z2M^*61dh~-9;8XA8GO`qZ)~3|=Ufzt=E7W7TyM~HQ-S0qsQI90#~H+WnFbIb$(HCO
z*tUY89NG}|QJHjmo1{4N1R`wiP{V$597Mo42<o-l0^i_`Cl^K)7z;t=3~}@*3|Tkb
zb%Ep_!-5#;1ysu&RPql8A48Q6P;&<mS~4bq5GFv*i?5fBThK=*lTnv()4e&6RuPAl
z&GiakFfK(}9Y~n3;!06ylZ`dqTZ3=>!b0sQCck7LssMnX{pM9Aum+h1_2J<_dlI$-
zZ5n*tbXNvaNi{XyAVNw8fCgsn)^K8cNJpCkwA459FE7Y)x3)<Mt~Z7%%pWPj$Iw~B
zwx{kpN=$Z&nS!!#r12swHShQVHR1V#po(C+7mk{Nf`j5p)xl&P>^h_hL7Mv#PXhud
zFi(Fn@vV#qn(i%a^g~>=n&zrN;u?(T2_p|0k>tUF4qoU}3+Z`7fDGPv<qL0GwWY|B
zHPMI)mb;+Yd0HWQ@~*XXazS_4KY?bi53r(g5^^n8ehgyDaafbRqs<5YTtfl}JGoj)
zEqy8dCIm*%9SM_lNDo7S%%n_%=;vUZ05r?p!MQT@&Osdwo^ey)3ndTBA@5<mdYg0*
z*usnnUy;L3n)Vjx89Vf7lb?nuVKo0k-e+)iL<X7wFsl<bHP{%)))R<75h5(aH2gg|
zs5R9}73a>7)56+C880l$XTJ(l?gEtCmsR<N10zF76xOW+NoZwJt^$Up8`Qk|C|Du@
z=y906gFU@1*661;n7vqoZb3pcSb{vd&?ee@^1)Ujo_@q1vb44H`hpw}_n=VgvDXlK
z71=tV8BSbCY@m-$p%ze|EG428tcOK<sw$97D;R=C=W$IsfYcb56Owbt3PD%F4<tcn
zQ2r$a4LS<>))~ZxIw@UDb93kW^xayesn13sHVAwDU~R8blWhm_Mw~kYJ;a32+0KAM
z71e+$C9dLi)7_TjD{{@=C+$kI(9xg>Z9J8&4P-$qdsZI|J%klBCmSP$jWCVUT_OTS
z?j?tLqs=2T-8HQb3ozjkn&EW}KUcTDgiTav1QXuL&2Kzvu>H@G+1``}`IvgGkk;B3
zT6Xqgmircv4Y^&8{0s+m@%hS@ueh7Fd1O{7f1L6QAGERsdqcqE!Wx*Rwidpc!}OX*
z?rgX#L~sVi4W0l7`$)8B-DQF2Fs2K$c%OwXtqRW3!=T^o^XhieD{kfj-TOF~5vE9i
z>YjC1!lc~ng^UHCl%P4E#|eheEQkGGsxSwUY!kaf-IN>|zjW!+APa}XszcC!HUuf1
zAsF$&FMMtF<L-jmXwF9iM)7&W8|tSUEL!zZqJe#B_&uf$e7}erU*6n?!h76B(7!=_
zo0-ellmZEs;V7lk7zsY@FTl!0uD75a?5?72I$p;HJ<b`J?FRE!@*wAO|Aaa@M;1pa
z3bP8o`mDQ9&Nc(h!=xhWZ*>>YHyJr|&&3frXmrymSspZNJ~ZQRzIkoK?SrNU_1^#*
zTkMmwX3RLe_w%<u^l$fW{-Ax@yZgC!{Ih+#clV=v|8M)Sy!-cSzVRh{*t@G<_mB2b
z@2*z;mVLi>_r^c}Jv-;!{n(psv5$LqZ#(iSd(gZ4+08$+*LrvF`Gc$Wo!;Gh|LPCz
zjCc2^U;Ht9gLn72f@81o?!NRZReOtf_qTuXPJ54c_mB54wl{fq-*{w(z0JG(*7aYr
zZ}RTG{o#+;Tjkw1`nUeJeZafh@TNg~op+c1^niW6y!(%vzy7Sf*SkBk_Y?Md@9y|5
zi|rlW-DAbo_FdjxW!9kmh<Eq=Cs*4q_3pkibGLm+-hFfC)7RKHcz3feY_?B$cQ^d?
zi2X9}ZgchJ_ATDs6PJhWW8U4X?s|iLpLh5AFI#rXyL;o;FWcw5ySL^ZvG;j*?>h2z
z`*H8?-JhImk9c?Q`I9yFfOq#xFaHVqHt+6(r%u{Oyt|LQ>#Y3}@9uZ<j=kTz`@?si
zv+wZk{`55$>{H&|-;MmGeXG3t&)s*u$9~MaJ2roxz013Mbm70-=e@fpwlA`?-re~-
zUT)u`?tXL3&U<&++=zX*cb9uZzkSxbv+gO_yS=;7-LJH_tGoa4zwL*-yRnI{+G+33
zK5*6EsP4Y?w0*O8cj4+g?R&kuzx>2g_M_h2XP0cYpYZO!u=@`CI`8g_u%6+Jy!+N$
zU-K6GM(^&EgI~8dtGhq{ZF@-Gefx>#`|St3yDvZUS^Gin?w{O$wRg(9?-bwjSN1`9
z_uU`<^Ox+0<=yvcpWf1dn9;&H9^eLXdO*R3FogS^VcG}Ix8rHP(1wGsVHVbiZ*9K5
z3F}M9!(a!>-oe2k_<t1kF`+?0m}iqK49O<;P{-&^E=0MnO9GSR;gFl#J5Y*fLrMnj
z=qyD0FDJ==V$SIfIr}3NndP?5Sw?&^N&Xn~+8z0=KPaNuU$#i;1}fI3dw2YYGW2B%
z@{Yc~KmKbkNF0)X$!-jyfJ%b@TZ|>Zc!tLtGD&k(&7>iUDAYYs!0cjjR6R-b1sY?_
z7g9DyN-3KwMBrW>0>MTtem_YSEy8?PJR!fC4Ea?zNfk6wNq~8Piq{?{VGd~W5bj(g
zGP+E7%}t}Py&gN(Ck7|oYvKrNLS3s9upDbh#L3Rk&cQnex9`M7XG0vr!h<339CDdn
z3p^MjAyWy=EdY<dcZHOrYbCP3nm*pI39qjW&E2Wp<Kv3*qNi9G41*?%QSL$8>M5+<
z6}CwVmC-1S9sCPxO}eE#P)^-@G;NWJ1$9-B8R&klx<z|nMY@uE9p;$#BsGc<_il@V
zt`1sMD7*pe3Ujf=kHI#&RvPAtT)@R1L)du>Qv`=#h9A1WYzb~?DkW*Mw<W4K70@KL
zG<%`qUh#u%UF4@L_dVVA(q);MiqK+``Uy~zFNV6Tx3;hARi;M2*z<z=?T(wSYo?yS
zJ4ro9z3>A)VaGkJq8@5>fCG&WD#f^WOF)U8V7(BmJD7F9Zm9^d?+%5~ZnjNQM_)oS
zm95%{Hg1B(TkvaW3yQ%Zs{9f}Zr=C)_L`fZaqWHRm2)`^#!&=zZuY_gx@N__Gd`3H
z3Pa<jECqJTq7<THR0SkS(a4VE2nKTox{bjmsUNu)F!Z)A*`onTcoI^VN}Z(cbX1CP
zc%6EHJj-Z1M}WBLt$NH2W|9U6dI9)@IuNy={Kdrx$0(4gof<?{V@k&b_<Kjaa@>^*
zz!4SXJwavS84ERK<Q*AEx31jWBzob@aU2PC(3KnPZ5ioSp<T9CCTTPcb<)Fv(yhDK
zvQc54JT-)DR5aLQTinhC+)S?w<0?7WZw5x0VWJ82=L<!|evW(PRBAAH<dW!{9D;%h
zyBUceqIHlRMJz3t!ku-7;54Ek7?XyvY3_E11?8}I8F>;OUW3lK1uM(o%p(eG_y#FW
z(s(K2{Sply=9`B_?3kD0NgAQW{Ed9*Bn|1}=lkN>S0f4$lNL!1QItDXoQg=N89GEw
zfSrt5^n^O1lb|<5aYguw+QNHEWD-OL-UryHj#Ea(12un*C?%-46eamrV2mnyED);~
znOu(gz@c7&5I%Y+w9S{{$-BgV0@o(lfPT2P(~F5#f+n}3CH@MGWF=_hDgsgSWQmQ3
zbj;shjRUlPq=}doOHq^Mh{_>NmZE04BcVx}sDWj?M+KqFDl$pnp%9aQ1<b#vA;Tn1
zT|xbbP%gGspbcWdvSEq!&?ugfL3sU_(QYq`chcCwuTofA2=hEhr#%H)8XlJ`ye4U_
z!>&g#sk%aO!z9gXdXZL_-4@FiQ~hRyJ8km<{z7zh4OL+^G+9wE>bwNaJn5>OA^((j
z;-HsB%1Ad*OGS?H%K=R-pXV!}59m}<fr!sPyP9;QRcrqLvm(cNl-*ZU2~1h`QABh;
z|Cg!e5=7yi8X`NhyDdAtj5#N1R&5W1yad`&{!acC2-12Nzv2|(7nNweYME-eymk$R
zNt!g>L;Z9cNOW&Hx>H12hWvY5Lke;9qDE*UQhSVQHlfgD9T`!REpZ+^0<5Lk0x#YQ
zHvhFOS5gQrZ9<VIX)->t)H8xOpC1WobqKVqzh>5OEkF;8gO<`GJ)xG4I&@_9Ada1+
zwGpVD1W|w#CLGXC(xM6^lR!H$wWx4{dgTivZ0OsiMWs~6^u_UgJxQxVdT28*ybJA-
z%}vq@8K1pqH5C2}c8+w}p`lgdw{7HfGu}2ytDF$g1k*sMr&BCj?bQm6Zp+4tsh^^I
z?`IUNwC(B8D)sHF_wFhOStsau^gzU9q?NXP99kiTsPqD33|&<&a`e_b{KJKaJ{O#f
zP^b?ofvu_vU;Y(n(Iub|Q`dJ{_9tl-rcV`ywNU~*Jwg0~J=`hXr4X)>aknk<f}3PU
z;lZkA(R5j%bypSPGFpVQC!@~^%u~wmEsBFv8+=n0wA^QhK)pA8WRtY6*k|pXFz#Tl
z!rnT4t@IM;qZLHuFg69+y^&4U5y_a6>;=F|0Jo=<=>EF|MaQE+ZUFf3&!aUe$Zcz>
z?h4{0Ej#xai=k_L(ZJiCI?SAGTWoqb%pvCb#KHsar8*JlyqTok0}$d}@uMzcQ<)Y5
zxZwa2=(Y;$T@0RJ+L9E7dd9d4?mD8|kz9jbRXIsJH1tA!X1U{z5SaU50^a48aoi(@
zyGP)c36{3Y4RiQI+-L$nOfW%Bt!ZzuIozJ27fMUu?|nRw$5;0(4(^SCtlSo_L9t|-
zzr%eq@H^ZOp{2(1Hjz+$(6ob{+(IGRzGJ?cq`f&X$D3(K(PD0h4<ds-#N~#Qf<$K9
zU=_EQ+}@IKyhxjYWk3ZD*v~TyvllPRoy6of@x-??@%V&0IN{EYT)-J!I9(o&V&r|2
z1s{{NzX(dZrGtJ&O)T~L=+IdhhIWQ7IAtq4GL+knK?-iG>I|JY4Vy~9`Ef%BU_RVQ
zv2$Hp+zuQ~AA&ij#25<^UA{cX!XMlkX-?h;Eu1e25tyVcRZszFE$s{}yf3NLMRZ4w
zmw($2CuzGD%r|;Ip+^Dc0g9dVWGGmZd3V~(r2S`;v^5OoEUNi-LbuzKP-c&_ZVkVk
zq%CNW2dqxp5%Fy%Afr%6W*+SoJ*{>4bdol_!Mq>oY&-2Yc_iyT%DX`Zc7K%Io#`Nz
zIoV0toCi4<Ex&e(3p6A`szZY_`f?KX6cd}i!<m!Mfn&BO;ez}9xC`O5Gd$TOTe_5;
zaGJm*?Y=bW_Q8bhEJpC+i#Nd+?rgDpklHE;HjG;#caKiv_Rnd#lRm~9?buDSdyqq$
z|6Fa_|7SMj+^Nh!2<q)M8+05FZQ~<pXl~`>(B4n-WBq!}As;QjPwuB3a&7WEBlqTz
zmy#qp>8`!Mame3D8eKRIhn$8aWau~?D*ckk)Ra?)%Bjr5xVSkDcMfeVh}$Xh27a^!
zAqT}}*b)%-+`5)h@WGe3&*HpV_7a~eiCdue<qE|T?5kLY^N;NL*J8;#11FZ?zFo8#
z>+73O5$z@TinnK-gIhVmIl=ZKc-9!ny8XUWlrV=`MLHM>4nM*rX28QaJPL$Py@tQ~
z;DlFogGT_-fotdBEc3bbEF2Al$Jj0)(zHdGy%7F}LpxDI<f8DLy%c_c-4*cT?%E3n
z_`zZCu)%AJ){dp>l@y#ml7geQ_!xK$G=wWoRf|<PH4*mh56ERm!@dp}u(!Ykv|z7;
zU*vH;`~q_~@Xtp68Q`By^wY36!>^PPw^odiaov9MJI6saDJjVrJZBcpzz9mxF(vc6
z8}jakU)=mLhTk=k$t|bxh;2MxB!wt!4Kmw48FPA|OHOfP${0>pK8V2+nhf%nIwg+3
z3s^^+G|c0vE_uZ5GGln8BdwxY3%+8G&UeWXZrPcHBN;UWF(r<?SIkklOO9~c&?Fos
z*U>Aw<OsJejp1nCUfA!NtSYD=-*eW^8@uEM_a=+uWgi?H5ygvo&b++6OI~nGvKU_a
z_Md(@f)(|cIr)VyIl(PsV>p?OMLq})KVlAktxFDYo7xx-`pM~>rSmodF310Zx%qgP
z+~793G2ARWB#!k+ov5Yu@v$BOuA&k!cc18zJKV}BhP(d5wQRKzVLAR6%*~g(<Oa75
zj^SqBL#Iz1k6_04oO$_rm%QNCIWfE}ILXH)M6eTl#T<RNOO9~k<QR^Yp7u7%PaWek
zQv!w*@t%3>o6}uvf;-s6@HP*_+Xz+po-;42y5t2nqKV<9|3Ec$R2)GQP>}xxb8}Od
z+~6kGG2HZtsLcubMD>_C+0i8@xW`NkCriD0Nrt;YmLlFWZ+p7r4R?--;jN!|I|gm5
zmeAY(g1I@~B{#U8cnmko_CuE~*ibf~Iy0Jz;3_Hsb2r>2ceuTI40mghJ36B!brg^6
zPVFz3qnPZFj(N4a<aK>Kuj}>)_CtYK5)Z>lMO4lmQ!>AoyW|(QUWw7|Qf?Ebs8JXJ
ze8hX^?G0V>hFhz|@V1cRnrL^@@{W0GcF7ZNbrQqVV&dtfH%B1oQ9^H-ujjku3pekN
z;cKC6D@Ryb%RA=j16}fjM+n65H2;(}W?hadsew1l&;QdUKX`~i3_sUK=tewa9{%4h
zdBCF+VtAMbrh{8k!|6AHs@nIQdHJg@dBKAlVt83eb&zlXZTM=FhI#zQE_uY`Bw~2H
zZok@EA{AscsK8DMncM&Dl3P6PB8J;FK@Ndod8AbU?Dol+)7f*oi(hdGX$+_9{JyoL
zVmqc}ewTI0FCG>W!|!U~mlj)f<h5-o<}=kLpSVUbhR+o+&YZ1xWHLGlb2!)~hj_F~
z42O%j1uV;ZuoShvWUlV%k}F)=7Q@xt2gEUCfr8>aWj-G2k`FvwCWeniB4CSTr}ZUs
z^=Ow|;i9-0t`<Kar-VdBlA*WE*Jzh~;S#$TzLr71cSl=~O2FLJyW|d!|B2yl0r#$m
zQwalx6@0}Uy{1c!@Cc$r93A8(ZNZYq9LZPA(PWn#;W0=t9IZMo52=(mo~A=81KMhr
zh`D@cmt5lUOfg)pIDu!MN)CnV3hFO933K?~E;+;_qhdH*ESQ2GPZ$V=^CANZ483K(
zKGG#$xMn1VuO-sYr%v!3_#k89*UZ@;b;%hXq!q*2B9F6(u)OspbM=`nxx$qQF<dRD
ze!XBA7gSkf3g+)CUGj%VjK%PG{aN4fp|V>m6<H!WCuNSm(Iv-t3|b7wYXcmUdL!BG
zkdAqs(brv6jEA(v@EY4fT+}5G`FI}Yas<-SKJ=clF0SvA51b<&ql-BdC$_L5A2JuW
zbjbxCh8M#{EFyPy$pcQfj^Sb6DVP`%;iP=eSs#bG<OQd2$MDj3+7btu2Pzo#m^nGq
zB_}v1Jcg70hrKi1gAUUFg1H&#k{g^|9>dLI>dR=yQs^!7Rqc{5oN6A!*W8Dps|U8p
z4XVg{%6z=COFr-b$QVBQ4)S#Dmh!9~Gbe7BoZuw-7*3Xp_NSOal{$b&!3T^vG6nPZ
z(_Qk1$6?0sCtX~CCHauKcu$vHJQ2^u&9a}FItx>;NIg=>*8ld^Kjox~<<vx_QA_1v
z+QI!n#oZM3(dO1qScc!|Qiki|WtjUQ#42z$aF9vwDf97rUGjm)mc}5uH8_0?EDjHe
zf<l?PRIC?hmY?W74|1yU9n12`E@i<(S7T&Zb<C=b!Sp@o4@gx;W#HFRs@o-EF8^1T
zT;gG{F<dS{<E)CF?x0eGub88M>5?NnkT!;+mhzNNRGyN4#8P~}ODXUm-54o0U;&2?
zMr;g|?VhYu$H9&xL&mto%ys{~?xJcu@Hd9*KH1U>T7r7aoUG}R6Fh7<hLaV(86}db
zma-F_ggLyqOAhe><QNWzsQ&<GBI7ht96lqTE=Tt+4YBjDTtd*{bx@_+U$b1dcPSSh
z<s2i|sz58SjqckeVlMY}$7RFqFICE8Efd{o_Bl@w#~IkPgu}+U&2&1wjdO=-NrsIx
zbm>%j8)wGS3CK3iNTow^ZJY^82i@8@50g%zw{aFEoj`BnEJQj|)5h6=bjYHOGx6vw
zKpSVh(TVdm&N!n}<ZPVpMJLVMIM0gC3bS!m6P++`<D4QoUEap|Japicjq_>fRCya`
zuh5C|HqIQOQ-Exor9nsE*f<A*4vMjHb^)CrZ{t`#ogQ!F2s)h{Z{wIXopWL1NHLv&
zVB;7qokd{dNGTmFVB<I?Z9Z<}XdrE~ZR1EA?V@bsNEV$8Z{rvd?O$o*C=8tlZ{uhO
zZER@c2m_r2Z(|=nZ9HdVzdD@&Z(~n3o&IiPuQBazW@B$HZBS-oFDdQqWn)hy?PX<S
zk00%UWMdy2o$_vDpBC*cVq-rNo$hX9j}7g>U}H}REw8t+pMlmC+1T2r_1HGHx9KEz
z8{53JM%c!dC!OGKW4n(|Z@01CMJKo0*yf>A+ih%R(24Cf#`$zwyNz)+t=6$IqNSCf
zHb#|nLc5Kz8J*5<V{}BTa%_w(Xq}CX^*5c!ZezVk3ukPsduaKKjsBcYVYktr(n=N^
z{T3}pv9YAnq7j=)lRLX!$*ENzymDjyNCWl}u4hURV|eR5?BJRSTH-MeQ)J*k&ha+M
zwz!L(YN1%ZJP7Nj#5$6tIT#a#$vhcY{*fKS$(U_EW@hHWst#E2RnA%MlF{;w&>|Ci
zEtVTvSuqMS>#bD4)n|39R)%E}&$x4dgGQ~`v`>PUgGDNEs(b}r!Sa&Ab7Bcb9<@q&
zWwrAXBr+a}Cy0c77Jed^tGo<ez!H~Au3od+Dkb?U64zUYL-NgqB{{e=J1n-@a@<|(
zkK+dMMjqwfd_(iNyDIQn#(NIETN!v);x&x?YIWe1TE7k7S?&U{@DJNP#D)DFs^-mj
zc?(|N3Kt7j`(-cZ;RKpO^T;)@LMTg}+f8@g{t6&ht~+-%-PvQM%1HBBcTS<0&%?^3
zXWfN@w)db9HeeV5^U61m0JK~+RLZ3ZNZSwVo0Kl-R_0>=6tEz0dlmfY&Jhct-2J)>
zmh({jhWP8Dy(b?WtU-};XVcQ6BlFm#UV)jJEDSmWA2JCxDNBEC(PJKohr8jTF~T)$
zTbq6ys7D$57W;ggH@4O8MX#1~*+ZTO`Ixrw(H`V<0uS<0?Yu%B<Re6)tq0j+w^O&N
zw&xxI&j6cB1cOoUDI4KmYYUc8iEiJ3%s=Fhzo?yQNSmKGC7}w>XBd!PtNoS-$Ezi4
z9J~}X7I5Jr?r%WzWYZ;@CwuhtnPa?~F^G)LhYa4VeqAS&6uespJSo!IG)R$dks^&!
zq-jlNGlcI9ZN5VI{@_K6?-0zcupmULThvE|2rES8`cyRi$lfdMuNmph+8RxY^tJ&{
zo;0kiC9D;;>3W5p`sE41eUmnGA-Ff1l4vc?2Gyymk=aEXkWgHF*wk*33#gH4!SM9e
z$Q_py`}^AMd%b%1yf#+Rwuqv}MegUc^9q^P<3wUw>fJ58YW+@JvO%3i<$S6NacmL#
zwW05*;cyQUJW6{D*vW;8SHb$goDBPnSFzyKD4bh@24M|aPH%1cB06{F`SaLs$(xvz
ziX*jbZQ}g-W?&8e(ol*3o3LV^+E~w;BK0(UXg?3uf82f-U5OksuTvBg8kzghfPg2R
zE$7n;o;1M&wVfXxuHnS1up&aP@D-+7P%X^~QxeJvT_h5114@JVU0C+LLUk!nov>Nl
zjlr+6RF1YYNMTz%B^sEK=G`SNwz?0oq|d;Q->%mPyT;ylIsvj$#^z_MX|EteTM|WD
z_ivkm5^deg_EcE+sepB}Nn^F{hbYYur4gdEfXHv+tqKWQ`3Fq3p{)FU44igNXWAIL
z`K0p0G)9AV%M;3Ik(E$G0DL#;M{J9KtF4u!E^G6E;y#VsQ%t6~mmr2C@xRvQDO7)c
z(UgSpN1rz(p+YmZ7o8F#1W{b{-Yar-zYWIuO4%IN?c@xhwFjGC!2}bW6o5~>x<1m#
z^gm~FTQ<KpjlWPB=58PGBqBq@K4F$9T`bcRDN%dFTdd7p$nX{riMD}T+v?5KMQl)o
zOie++<{iP-G9Ve3m@(R^t%am6;f6?;fDLuQZOCbF)8-|FNZOQyDulO~l2ERI?P4lj
zfvE-Ed^&qkx&dr4dozJYE49>Uqu!`l5DK;IPnGl|wy2!8{*qeM<^ks3YwxFz^6)?!
zxKA_p5G7dQO6I&aPa(@XXG%g@R*ZW$#dL!VdC`+Q*^5>_F!mn|7~&E$hEHn?n-s$v
zyyy?OO%u0iG(-ty7`xYL^Af`DDN_=y*clXQ<rTP@Z$LtE@klpe3iRF3=4sjytwC#y
z<Bs+_tOYu5j(8n6AJYaZ+U`)!xQ?5TYUdTQtB(+gw)KDS2TX2y5C$ac#nFk>LHMb|
zcq>M5zR5{gl!665*(Y4=|5{rm3Dxgz8Yl|R(<lIPj**($1vi~X&V`26xcC>fISPUF
zc~cUq*nNg^?)5m#&5>vZCOn1lO!^TcI%`31Lhw+5ayLgK+VCwiYJ=$vZJt7y{@_K6
z>6$aOEELIX>Nteuh@OnFf~B&3GRAGQwvLjP#I*x;<WP*6VX151M7l|vix5&9O-W37
z>06Is6Lb@%4*GX$jfN{GEn{{>ThyeOZ5Y6AK<EwjI_0TowFmA2ZB|0S9W*787&zmw
zV(8#yn5)C%7lAUyjbbQ)Wd|mI!KP2yS{Yh9!J?=AHKSY6)<;rww++CSa4Zj$N`HwI
zJ!wK77@QaK2(VN&S<+@Mgm;lhw2ftY-j}hCCM>5O!zC#vU{-Q_U)eDwgEOfue^PL+
z9~i-f*=bxllZM&T0er&o%5&O`gn)RXDG62Zo;D?+8Y^rLT{TvwC~8_vyNyB5_;{7Z
zOoF95^p*|eW7--?Y9LDnXnYh#EF?dn()m&C%tJ=;5mOS%D5eOGRnR91GdS_+Gw4EU
zgG#$Z49-`yg-Z&~>Vc|{yG|JWjW!P<jJ|A2V#+aEeX`=zV?k=0ic#uYI8{xFH3M)U
zkK(TrOxJ2N5rS!^DT!8?44k9#uiSNDKtgfxVbewsasiz|v_Jjybq2NB$3D;#^qAKZ
zv{xIYXrF*W#`Of<r=3^GsO}~bZKJ2&_XKU(3kNX3$z8=9ER>x{;n6lUbq8iW<awDY
z4EA9x8LS?Yf5wIWytZl*!r*Ql2uP3?63~<vPl7f*2<No93IX=GDG62n9%0OT*DEBZ
zu%u2`tsM06A)Z1LuvAkVMT?7fgOJ82f7{F%*UZ3wjOpu`@75V9edo_(4Bk2eCA>|&
zoKNMNsxW%SiC~MS;V-1=JJ{$&B?RSddDl^<73a@aVIol08AQ<z;UICVd`nsr1agzI
z{_Ir9s^k5W7OQ;&%6ihC^`wRMq${I5+JY0ygnH8<1&G3;nwL+RO0Q<qywa4!6qYw0
zq*%W<C(i99e@T|-J5k7AKe;h!*%tp;ThyfBZW!=*<#s5-=;Jj6+#hJO5^|KkYf54Y
zffJ5$!~TMmyFhLdN_PrZex>RYRTvbZ`BQ;{?8YT#?EaagwOf7Tg7fE#4jz=5E42EL
zKKUY$o%9>uG}T_Tk7V|y!f$LIkjiAsLS?2&ncNBGNg1-SubPUeoWnnul9+lMyY-YM
zt09c0QrS_MH<ikk;EIMPYvl-o)B2LF?}kMbn73MA|M~MZ;-b~|V2LR*7ioE$iI%~+
zV9}PxtWAaG?SQ#lvMNFqr%A<Wsba6{qFIGP;E)ksZz`=a!nLL(rrrpb?}b3ns)FI=
z@hme~WL#+piXv06QN1+UsOFzP4@V(IMSOF`^GLIL%v4L!X2r}+g;}i|*bDIwDlLsl
zgVAPKC?q8d+0SuPv6THBF(one_OlQcQ1LNyI7KLctK0I9ZRWK-wV59?)l9U_2<E7v
zuz+JWY&^E^of>@Qmuo7_Z6hvHtHDw<UX3OUjq6guUC8KOZK@Y#bXQGDOrg<nSiM-N
zAbS7U&|AjmBiiC54V{+^NJ!*<wjnq^tev?aq2Ty6Qxa1ShlJrSs7Xr2aa?OfEuAMD
z71-1a*8c{*LVR)t?918$Ck1TdfB@<)aN~kw>KsxWhY<XNHa8&zKW9o}$`M>F^^qz>
zc)QSB#%Jc@-gMfBx>4OF3Ln8w2#z0_>QWV`@0*gCayV9aaA44yff>lqJPa11=p+ox
z%~J-<N(GFcvk*E1+8l%mOUjhQl%uoOL&vd7uxTUAiRL9`EsG>Nq+^^O(iSnPgS$@Q
zBzY9e-kk8fg2UQugupsrN@5DZ5*<17y!bR&fPBvxjWWp)>YiD6{yc3C8`YYb=e-Hg
zmK`(~O|=pon+gU^VpINfDq_<cRBY-gqjO|>!Bi{Ca~DiWw3?faMugF;VOAcOGa#Y3
zxYM+AN({5o5!=%@%(?&z0qpUJ4Wgj4v&X#A)sJX{6YbSdwz$#N4{PTYa$UbhB&Kn6
zHL?rD^`5db`n<Ma36%&N6Xl$XSb2vlg3oAY8q(&cOi8FR@d*Z`cSE1tX6(a*chG(V
zuG&?PS@A#679gqO=MC6S1;z`bH2+=gTtk}wmMMv;*ZkgxPo0R+y!V(jzi~-#niC<v
z;m#Y#!h!YCn%|(EYe@6!Oi4_+=I4v!v%|^{ykY$x)D|PD<u4e3HPlZwta>yA`?NC-
zL2$n*i7AJmO^E3Fp0oOk+9D)XfByjN*HtY<D}Piw+mP~erX;3Z`F(h@PuTd?V^;lh
z+5#k1{k(xXa1gEeH)`h^()`n=B&J;ROHk{nvtrAqv!{**Yu)f`M&ehs1xkv<(g8%l
z+vTWHD~02qU(wDzgvc+Ol4wQ5pjn|>CLGfmkWgIws%bbOS|;~H^xih8ZoA;ac-aoM
zOyp+20b8>hUd!aG+TcW67s?jbGWiGXyh6706(TW>N}LO;9~!vBabRAO_mqq1yrsPf
z(?UvwmI<tOp!|g@)FiPv+L?y5Ig3cN)#eua)i86}w~H2Z;w%NrIoH(Kp;+x(P10%Y
zTis!A>P}l)uRymZ4Sx_8Bvfj3qaCfcfqv{Ac)1-fyYX@-Tmsu#&sN)7AMfd2)&j0q
z0S2@io_n;LU8{pSf$ghlZ@nXZY{45rDwv`^)p!SY6wg;PrOMbC%<GBRrMy-i%QWi6
zQq(Txu!S*hpUAI*XkQe^ctvkfehLvhgO`W#@+e$h7%c6BnE$%~+9ON-2pH5)s*2;{
zY(PR)aWjCeE;lh}7u^*Xe`8uvh>AA%0#vloU4XCkDq2@tv(XhT$`)7AKC7KqsA_lv
zk!V{r^gdegs?<&u?JsK!mQabED%$sGXByJxyE|*M#}zG^h_9jzoz>t!m0|j-ug7{;
zePLZD54fPC7y@<K@3OLcT9>t|6wchB#*-Ii1X#kZwG2L?daXmk5!j7iCA=|EM+YcE
z|FlZCp?x|p)0;Y{@l~z2wNHtYlB-$RFtt+4j5J1JjXw$0fj0H3C{8<wjvc=$;mz%t
z5dCB-?XB(8s{L&;<HgIxGDip<xWKLmNjd6Fldpm;*<Z)Yzu@KH@bV43{0CnC6EEM!
z%XjheeZ2e-E-z3_@g>ZkVu}SEQ*cQzsESog!Jf;2go-Ji2e!J5DY!Q3ii_8F!v%!K
z$BkkN(>><q?FAP?do%<Zp7vY3cw)ygU9Cn}g(z2CJTau5SEvTO&6I?)qphYSL{vC9
zy$I4l#|N+y@JBTE&w2=+)0QV1L6j>F!N;}p3L*H2DG7z(8B-Dh!L`$hU?0q2jVOZe
z^8kECTbyVBQLH!sU$3242*B5vl28D?%9Mlv@Xl!kFuau3{%sGu4{3`M4IYXV2i^y?
z^9q6YK2s73yk9aUA;8N_D|r3rI#Xw<2Poh`|JZ}@%i01(Lx_UKLHGsjyh0Fu&Xk0L
z@YALw1cV!=6~bkQMEfCiqL$jn?S}xApY@=ex4bve3<?+r<s9w2LQu{!C8404VM;<k
zxn^3S?5By05w+ppc@W;NEl_l6M8V=9+^(Hh2*N>A5(>gwO-Tp{w@fR9^Ki0P1cLv^
zLolN)Pc(ukR~&-F+IfW#e9V-DLhxZz5(2?J(~95%F?A^d#B1;*XF4Y7joKnbgNUNV
zf%vp`ULg=)XG%hW_>?IL0pg}<1#ziw_vmBXM-`|O7kfzly0%==NTPgkNPbW|uMm>&
zHzlEve6J}9f#kMnMRFd_q>3nu>pcYjm$p372%=nZ2!2UBuMmQNWlBOJ_*qjD0>PW6
z6~X=k)zncj0v#xXw|WrHU(uVu6a|ZeuunU$5QNv7l28!NG$kP*+-d}&@hqo4aVAM{
zhK~Ib55e8q@<bOxlq(Lwo!WVY5Zp#2UTg!eXSD@OsKibKucx##4Qca4XKnU);FV0|
z#W(PJwr2ycbdnUzun7;kj<ceBI_TP}P8f9E92ooa*zv|uGvX1AQ_@})-Uw|lF>NAD
zskTIu#5MXbJqeCNt&e6@>Y?_j=|t}go#>s(mCL@5wzv7Hly#iqC~PTNFT!9bPgL`b
z%(fAh7uII*tVUlR!9h+>Sj<@}g-1g-MKePQL0MvNwuq5ykEZy;$LYpsnl)?8y6od|
zU34-z%`0jEwh4A+{{&v%j+dXt%g^BDop|{<ygZMWcj4t1@bVtGyg&o6PZK9NsY?vN
za;Y#Fx5T=X+jH!}3`nRN{V1^2<p3<#N?mc0?uH8(fIVOoSC|gKF7<}*B2TEW4}0;&
z7q#Vzt{PFkxcK7p+IfX)#Lt+LQ1<jGQxYOVTsN&q_7jpYjoT^(M`F)<5YAnxTR@^A
zM8V=9oUNT#2*PVjNhk<^*d>J5Pb-AW_CsY1Ej2hl=FDg+0?M2R<qmD#L_>)J#z8rx
zomU9T+e}F)D7TuD5T$YNv_iQSp`=I&j*Gcyl~Vi5<tRj-^bkF#EnhUEC}$j^k89@@
zLi7<+5(?2XrX&QS>!%gbb^8NhEX;$(^%hYhx3BUreMVctXiQPkI80x!omU9c*O-z}
zn7+!Cguryiv|_rHPZCejLFf_w_Bjv94{6I4jU>t!hvWye^9mvPK2s73$zL)hA&|Ul
zT9I6M0H;wL<#T&m`pDklq4;HOnW9ld+2T<Af_7dZ6hCK5LZSF+QxXEjN2V3U#f0KX
z)jALKR{x@h<GfY931m^aI2`9_=M}<nmMIB^;|x<00>_t5D~=0AL5!*$KkT7+yS7Zx
zr4eO|Lvg!yULh0*O-U#eZ#5+$P&_oPD9%5H{aR5`>+gFQX0#=W#t<co!*EzTuMmch
znUYW#K5R-tV0go{Vt8%D%)(E3=)F-}mT2@)ra1JT*3K)0-s?<BDD<8(B_Yr|VT7LX
zsNX!O3vqQ)>y~SO<3afA+5$yGh=RpI_(AQwLJ+>6NW9pF{r*y0u!KtNH0<{m+L?y5
z`DdNA+2dh9G7;af-*Gp%LQf7sIfDhO1RLbzI7~LQDAWEPFr9s2mS#TOvk^iiYpr#U
zfv+<tJsl!!RXq$52G=txerSwPjGcK;X_zZGJm<X|gmF1*tWv`x-!j1u>9gQapzpIv
zsWD#8hzIcHc$GcX8=A-69f2V*^$|Xn<8)D(4YvQzsuy7-FoMD0LP?d^C=6@Xqdo`@
z4XO`#Rj0fs;e!h{<two8qEoLx`f=ar;MO+0!x0ftTm(ll6=_~EYUQ9OpVy&wOlXx=
zLfU*)5*n0$ID_TJI2<eEgV(8N#ZDpZbXTcC?onK~Q;5h7*3ZJR#)9$Sz^>v){*|dz
zaYQ(3yjCW0JTZKVzNL+#X_ae)f$VIPzESoqq?Mz+B4<K>TaphcSM^oY=<dqZFwD6c
zFKh9#4lnERasysA;$;9YoA9z3FI(|)D_+ug8N$nUyzIowF1*}<mzTih1sVnJ!~AI(
z?m`~IWyfbQc#5$Vli&)?fP{+h{=~FeRa|h8(iIo)?S=~&1%8=PoM}1=ypqNa_me|U
zos14S|J4gQ#{qb~arWqF31y56Ic@E{LP64)DG6m$c~cUi)o{zSqIunZRiVSl*;q?U
zP=h1GKky)ZyS9MQkfNY*kiJbjuMng^Zc0Ky`esuS0@7pC3hA04jC3A)M6+=IT<J)E
zS6jSjKvB#%KtHCPR|wFLnvzg}e#Df70QA0T1$5m3-*`pGLb}$&^k1|kjK&ltjl=Y7
z+IfXA{YO(03e&$cB_S|PO)I9W0aI$Ebi{MBhv(Wgy{Si0$~Zh%Y3CKfbGa!Ah367e
z5(3Y2(~9ScL)d`q2<9#i%mdn@MHfyKF%HbV+IfY*yw8+`0`qQD5(3P9(+cJyUfC;y
z+h8EH--EHDEmSm&C|n$jCGEUIFcwWoC>TdgNeCDpH-gc)M||!BqHi%UH2hKzz@OF@
zCmKK$D-OV))XpmeV3SC^*!shNOIxsnO6=4h{u|nvhP3&i&f4s8e>j<luRlE0)&0VB
za=&Z}I=MxMet131U$Dk|+S%Qz*W+%xj!lm(nv0j|IPCCk;PizVcCfz&SqC<(W33r<
zFrm-oo-#Id0}{&fe}J$vILcdb!S1UoF5c1&7tm8SVpRW__LMCW(>^0>p^R4x-L|$j
zp*;#0R|{>`&MV|MZ#E^NjA_7>ga{)BrWMA;56JPGs3}V09*&P_OBG!aqI7XMp3%-L
zgyTz1NhlnTo01SX-Zrf`E`t*uJ2ud+cu>AZTd-&-QNTDTU!|Q_2+CKOl2A}in351s
z9+_4s7x2D4V%#$j-9PJr_&#lsqCrH_;z0Z*?Yu%D{x?$+3dDDrk`N%i<OKlnpcs=5
zfcTRhh@aCIDH=o+Ee^y_Yv&aL@sp+`6o`LrN<x6Re_BCYbzIIDkgoMK%@+v3`EC!+
zS=aR@)<GfT;GChIR|w7@m|~&e{H`ep0p}gl3g?OwIG000DLTM{{a+vQz#P<8aCF&3
z5#zwTRXeW`m|ILqC@?pfk`Q2?npQ9u3;bZ8NuFmDD3t%h!|^d~siJX2>EdvFSUax}
zj;BpYC>&3kk`OrFI;}V^ksZ+~aiV;%K>oQ0<m<G>iUtzJiv#j0?Yu%jzS5M00`iI}
z2?69|(+cDw56Fm__FwW~e809((J-QLaWKADJFgIozi3KA!T1ZNBm|7RrWMBJw8>p?
zmPN2ge$B)3ue2qL#u6or!}7D*d4;h2OH&dG%fB!sA+S6@tyo@v);F(Ht_h8v0redZ
z)N9xECW=K-<3OFMomU9dADJSeK>fZc2?1($T0vbK0F_E>WGFkgPxg>+)7ElyF-1A!
z5KU|66+-kDQxXc%&88#-qW4TIqESoJR(j|?p)E@^dMHyIdXH-76+-W<DG7z%DN_;x
zy}S{6<^%CO64J8Pe!v6p4cg*F1Bhb90r*<&yg~rJnn=9Z2IAkXEm%S&b{dF(UOUr}
zHh;FWHhVk}PbTu>8;C#Cvw?WtGBIL1%8#<1dpi8ys!dpH7TnNKazo3dc=674frT<M
zL8lE5zXF`we-D=zX!XixF@OIda;!>&p=@-&JSNXpZ$Ls-0zX55b~Pr?o~$b_u6Dx(
zjLF|^R27+y$<LvweJvHycCRA3?)u(D_9#?bMYLKwuaN6pVM;<7(Na?qB9b^et?)&~
zf%kjp9n_X3x&}m<;?UctomU9G`%OtG^zJbwA<)}Bt?11=RUV6)LvhSQu&OOjG=eBs
z9D?K8d4&+PO-U#O$4p5G1h-Esf_<muG4p}3geN=z-=Qr|G=L~p9Dr}v&MO4q+e}F)
z0Ds(+gaGg%BLIz?V*L+iOGSvlDy`du6g>?8KwF|{3{kQ;41ZTUuMmbGBN8vR*4W=^
z3zkrcomyjmtDR{`n}6L|n>}ugk%_$cT4Rs&tTlGgD{bNV&_7^R_q0LQs?gTs0et+>
z<{#=FHZh3UfaRw3FW5}z)sS_d)y4WUXsn>8<yIG4w*d*|@4skT#uOLqvAW{oqup=;
zt**3Dtz+8iT1<New5xe8c{R_Y0C_KV3qa}OYM!&&d4+uCDN_>4nogLK5YfZNX~l8w
z!?05m?7|Wp?R>q5-)ps{iLUfesyO^!t({j0zpJJs6n-x^B_Z&;*$6-5=&$eK<?ML1
zWVLjFywyYSSG47cMiAwSL-3ci^9mvO9wIS~vELl<WW`)ieXe}Sb<Ce?i<MA??%V;W
zvoUv}hrCy>{ZH*YL#q747*+N(Od<2|#eG}cwI?oGwTngTQmQga2MEeR_*&ELtB7|H
zqqy^FH-uAG7I%(v=VNCw91}!$@OHWHC`mcnrs*!JihXJ_7TZ4(S{WE6R*BaKwt9;C
zvUPp1yO_GSGsH{Y8m}Pvxnf^i_)BaTg--|e=JQ491)&YZom9P&@^+$5oh(+ZQn73`
z-SydgK2x?X@i{@6dWA{*=&acfGS`t(7Iv4%tyjJ5uHz$yMB>b7tumf*a<yzdS3nNd
z`@ZBkEVQG!_xZXU@6|?UDM=zewJkel)y6D|PU<Kuj%m8fVAHTM%iG_rgbyLF4Tu#U
z7zJ}mFBR*B)X7S9yiykX;X6%tO_d&G@>M!l3bqkbIYn)b^-VBR``dW=9$tQkmuoh_
zWj0>s;-w!i3-Pi9FU#Q)7&e&U&dp_MFEQA9ZuVHIGSYn3ol_|0^Hv%DT39USN{zhb
zJ?MiS(MGJAm2Vyak5(_%!FyK9r3pyeU&~&y%Jo_i{OP&o7W+Stop0ggyLkBlUS=Q@
zv+yzpFZ1xS056O2vJ5VkD2lJb()>JJ+y}a8eh3Bn2Y}|YWBNPbM=!b(oT<o_okUlW
z>+f~X1$+IjxOjIrTtNJM@ATH&%f*fa!b7AEppyx7!Tr2fg+Bl`r3Z6#{evRLRpAG<
z^9t2F`-nu_DtwFmI24JkPc^SX0b2s+au=Snm%`7vrfFkju5k4M{kh&#E-Pc&f+bWU
zbl=GQg(_4np4ZMaq|K};2^G@5i~;Gj+OI#Iy-4*{IZwwHaor_#;kRYCb5aKA$Fv1a
z3efri<}{rx=hJw=5^$Q%rX{B#)Sl7iB!t@QO-W2SYRe83M@OOdE9b0Ku^c|x*^NrT
z2)$ohsH6xjA5dJSi{&&%8R3}tz1sPQaQQ`35>t*#|NaWbDWS%=>wm#Gd`er0q&UnU
z@Np3;7oX71H>CeRH6_uie}h;-1wC9t8IVw1+;1v~=q7k{dc%##SrYH}B8&w$^d`bU
zsp2AxdD?k}tY{9AXd7X)4KR#*Sr&7&_E@D+i}0ACw_Hqb)fP0mn1+<<E*YTaX?g<q
zq1{o!zH*Cp<{>R_>a6A7$8oD3DZq|vm#kFTvhvuHE{@|VYr(LtT_V=`QEjo4>U{OU
zCEzZ7$x0)4>3StCxC^<-2eo+!ss4~D3FV;nGkU!a`nH@bRqE7Df!z?PY)W;{h<K`&
z%HdggLDZ6e#yD2B6_6CitpimdK^i51I8bc^UKO26X_g>_?6@{pA!Kb+5>t-skcVux
z43S~Jc(IsoWJ@X7WJ9css?<`nDI(tn0oMMSac*j>BPq_?6wcW)#FSDV__NL(V(CgP
zO{WC#ZP<stMVq-0+;1`^kr-~{IxTwSz*UbKq2JV&ASpug24v4xSoOcIooh(-A0!fO
zgM{8!U;W;;LM_hE|ALkJd2R8MDs}#VcQ{4FsKRHo^9`x>Q>G-8MSp^k>2=k#@>tPv
zuoD7?r5l!$I+lfw+{-~X)g}$2@&j$rlA^L|V4QhN!}JW`Ej`Y>3GJ#5qwi|75CZ61
zrX*ScGH4&ECKi`I0}_f0j$jN(C@wgJH6Wq5xY1OdiVJS8bj8K2Zn%Kn?I)(Uxp^~o
z;K&iBTIv-kjO_pR)j#E6mlL*HQaG}9f1qsIAN87}$5Xv&j-u3Y&Cw&;d4)>c14LpP
zYnr(y8?|c1u>$&o4sY?4z1g_7VA0+zq(tcOu8N#O{>#?RG^EWjQxdAo<{6N76^wDn
zw3-^IMF*NaeghBMvD-Ek<MI}5`I6!yny5tw8Z}tH(xN>R4zJ#%%|i&LA7dS#Z8MhB
z`|xVj=|&a11E6bwlz*sFgIcsD)M}TARsTV4v6HLbk=(KBM+JAG67qg+9zv>ruPF&t
zLVl6aYga-{N8)%Y2hBWa0VeQ<(fEwE7)jAsK!>KKX|6*=6#Oaej6)E7!jwcS1O`!o
z3M{w`8jw(2OqHvgf7q%+-%u9IYp|LMykSe2vvG>*dw0RWm{o@!9_Axd7-wl`9I}KN
zL}D5%|M@tA2{q6mI0C3ev;H@%+0EJlCNE<+4G3x)JfSvR!`!5uaY(ZpO-U&0-oW7W
z+Re#rpCVCceaS!^(H15t5Q_&yHQyGC2ek7JVR6uu#FS&P^lTMk9c=cC{^yp8C*nOL
zQqdMEDI&`T8iFSofkjk8CGG4(pcG9>OgSh^a7tl&Ov0}jlDBFLloXPs12~@%=Y5F6
z5`oC1cJ3iWo--ve<%nD-N(Z>ClQ0b?>rfDV2+pu=sYE&@WRyOvEo4%Z*7;mnmAIr}
zdX%^n%2s`4zoyMc2(Mo?B{AiAwVBHtm{rv#4Wsl0ZPAjVv}(XVpIR2ES~v#yoHh#~
zfIe+XV#)z(oiZLkru8L5@*{0wl0vdrOb8IpEdq=0Yv&!p;yb1!5@TW9F>~YTs+B8_
zPGFV8k#T*ZYNcSn@&HW0A1~HnWkCR-Bp)zn12;}p+hkzC@wgVT8*+`ql6jBokk?CT
z^AiGcJ(1|pWa;V35b8e+tPHsphLmfSraRlQN~5r<;J7=t2%9!$OC`ElfPGhD1qg32
z)aThXCSFMIsc{c@(<gIiJ`5&~T4Qhw<h4)W<)wHzjhC}<39KTRsa6rVOQ7*eA*E=*
z-UYn2tSfk?i**I|Ly&ov78}Tg3-%N6NC2gl4IJ!d*#HcATbI=u<zv5n4IA{`nA3<o
zwHP0F`@F$j#BA2ylMl8*=SkqlcHq($j`?RDSZ;E-QOsLCMk0v8L<9zQ9@%>r^l~2i
z!|7C@J8yp>TOPAYm9eI~vrw;Box6sH#$d@!V`MN_86N`6DdJL`vNeR=p(4Di4b`lY
zm33hK3ar-YI|NgeMzXmJP4^xR5-?N=W0XU%Txlp*sNgsQ(3*3&Sbv}~(sXZ0P6@wT
z05eKq9Cie@1B1fq9!>uB&<HH$85++P%R_@K_|X0n$IqO4aNpT84<0`}IG&HRDF3-@
z{z47&XvfDJ<zjuJ$40cpeiPcrTkz7v%TL0^3YykC;ZbYx_L<h72TaSLLr?VyvU4{e
z(OOFzkWgH3ub2S|#YIfdq-hs*pIGtS(oLWqvzPpR1Z+fSE4HMu+Pnc+`-s!LBbuNe
z*UmLmx&MwSiB`=UfT!^1AyESoii?A$UF^sORB+eLf}+@Nc&hhPgy%jeLKuIXY5$2g
zru{>0T%rvM#flr#{+@PTAv5|mk!Y*G-Vg6BKV8mNs}nHYkRn0o(rek309FD=q~OxJ
zexNs{HKbg3#ehS(!n8pjUqW4~FXB3F20|KNZAwBFnH5B$t!<mS%w=@kNa_$y_&qJw
z9s8}^jY`14?9~=3q1C&~2Syrj2ntW)m8+pcxZJ0me+ZYmO-W2SE_2UV4n<V~FubRX
zfThiTQUv-2>LUM;+DEiA4XHh2N}^Tm29=Pi$Jh-TkWgHF)6^M@dhE=sX|2b$p0>(P
zv0l7r@idDAR^7^>Gv@XF^@8PXOyD;=`}1B+_fBo(qAd;ukE`k4p`BOA(B4iYrn9D#
zvxwU1(p?^vf{XJ<wFOS7T&U?V*EGx?0>08ThXZ=eLPh%{+6;s={$W!Rs!;tJgVyVT
z-Rsn97CFPq$`{G}gZ+n{5;9PKqb+1opw<m2E@`DKtYr4M4B_=<Z9YPHeZiE(l;agV
z>;?NlU=-NXh2KB9os%+V*WT2dFf!!1-1P(gy=mf6o2ku72(=$g8)|R6Z^kt<@LzaG
z2dmBWKzjx3_~33hQ-j`}l+O>QXjNHckQtYlA>691xTMAIh5_Q%?;Sb#l-!1j-p$&)
zgg_iHB{AhiZyji(?7&U}siRi5R_2ixS!)DJUdNP-+A(c0lcIJ#qDFkCC7&?XBKZtK
z_K-FsA;=D!l9+PHqIcntx(Hy_IVpqoq_&_*L2I*NhvYPbT3MTu5Na1pNlZCvo2d02
zC|~R)(QO{CRT{AU%Gqi#JW2Qs<M=jh(UanM^MK@Cl{xmA7-BN-Y2ZBs=#Oi&6aw_k
zrX*ScHE8^)_9Hhg3`i(0-ey{li}vG<v!=EExQcg^!(HTX<3BMj73^)d|G{f4{+TvR
z(Z+{T#x)lIL_4pLRs9i>n8wE9+y`k7grNRh?<tqyf7TW(p%P)KkIX+*M!%|^X-J#@
zU`j%jj;}Bvy>1AugJTgIRf<fhRRNRHq$#(|B<Yxv;aR$=H_eKWjl0(m5T6v2BA>Lw
zl^hBVyVXV7jD#SYZ%SgyAzOc{QBJY*fzGOq{>P0;%dqXz7By+9+AsjTris^drJP1y
z)0I)VAz8$@;0|q8Lck4~l4u3apfXeSA^T4Q5{ir8H+34KKHNOL^&!n>^5!r3gKYbo
zUM*PG1}ECoP`0>Q@Pc+;AzLaCiMF+1Z|4?~OuqSJ$K9Yx-w<`m!CQgDtbZoRY&E^B
zx0}QY<)}$phr5}yHD1X#U^`khZR^Nvc1Eu=MNO4GMy;!|XLZ8`jL8p8Z`o^EhMrEe
z41E@KS+UOlySB8^r4pr%E0w>comZ$-{sxg~TPk}$WS^p~(^F@iENmYQu|76PMIUSh
zSB14iO7Y2A?O)JVMMAZ^8wZHvG;xeIE;d6cZfYMheNLO35HO!MC7~+4PcpW>4s(|h
zT)f$O)V5s_?-`>XX^WH;qh$jG2=ml#Bd+gjXCDIPJEkP29F##dyyLYwQWu@UkN=#1
z48eO9?D^6CnBg3_xi>A8kf(Ep{DW1pl%+$`$k;bxz%ixGTL|m*rX;2u>m^bpsS532
z-_p(xzh=A+YYUXL_$`&2S=Z8%BcV<;+3A3G?jc0>nv$4uL>AL}QY$4w_7*@wZyApZ
z+TtX|W61#XBbQl4G!6^enTO!8Oi4^R9E-R`AB{%qO9tc3+QK9SWAOmD**$JTMZ?w3
zJA}ovrX;2u3;#~k{)TMC7S$ip79uGIowum|fOfti{lCwYM63P{T3V{H#=*P+3B|>S
zOd}l8QS!j_HrC>fmhoGhz0_-@eO()_XiGzB;~HuIq@7pDy8fO>Ok*Q$<pY&VxR<h+
zS1k_g2?mXA(y%+7zqvQDVMxL5ssZ2)cTyI-rTH+SaKCk*HVYxWUu#N2m8Y3RqUW=#
z*TTA_YPME{Gl=9#S-7(btPu%<)FB-MHKZ+K!jj-#2gd?P9<kYsEi}oa(6ovUZ_{QY
z1lCql5>pP=5Su7%W!Rv853$TK1t&Ma;^UDDoQak9smJfNT<xzJ*wfnTNDAz>0VPkG
z<Vg#8;11+Tqdc?+LtD5{YBLvt`<N+-DTjN>L2<ewmP~{-SR})*8L&&*0wo1(>44-2
z%OP<TDu8wE+(U>wX-Z<s5!r^mN5tPXDu%*fokS&2|8qw49oh;>is*Lg@A69|i=dOZ
z48C2PyAa}UGbJ(Qh%Y^5;kJ({SoAEa$zUOjc+Z&qj<!fiF<UmkJf(d+g^J;S*Uml!
z%5RyHXa&Wf9if^c9I_gaP+a_P)4*9YMIM~qrbypOaS%kn((D_&M#s0cfr&OPlq;^$
z@lEZ#LU!~GB4N<zFy4@5snB4m&5=0~@43*f-qM@aMo6>nGH-LK4#(!K(9S-j?4?A)
zK-s3tGqpB^yi;4igq90iZFbxca+h|-A<gbEC7~SA5QEd}akSPw9|KW;>q|EDVQpcO
z0ujF<<YU@-hp>3ql*E){5wYQ80FH?FjL56CMM{cDq75OhYG)q;<>jU%rW};;j*kIM
z!mk;UcWDch6p|zxLjJsV?jc0pX-Z<s5m_#4Xm#>tONUcr3dZG+w8ct_%L=cS&U@#S
zMvQs=zBU6PXg+RAV#=Y3UVJ0)3WTJI4%Yp;wxCJDT0h{>5x_L<7;As*GU{;bz&~ko
z5<>0oO-W2SYQBjMFk2%PHCLmhfF=5Z3*3^eQxz89G@#DEgLxV0sJ%TS3gAL*hC)#G
zo06DvC|AR*dfNXFXSAKpj#o?YQ+#>LPPuJUF=V%Ei<h+6tr>8bKbpVh5PxY0`4c);
zo$=eXnFzr&Xi8$rVd}J1aUi_tl#s!CR9ncTVCn5?d{&!}5MHNDNlZCjNj6;#;FjbA
z#_tu{LMO$~Y?syvZGJ*HUNj{!<v6aC?ooD=rB1^>lfl5GO&Uh)=d?vjiq<O6HCE+W
zt`71Ra*Y3%HVYwue%h2oD?kQatEzXFyPFJ1C@vOJOx1Q^+qe^OgKT2JHoA3K<5bMS
zcFeF<S21d;V_agkoKI-$JgMc};59s8pEu?fwqf>h8#19k)#fE+LjRLUOk-c+vhdvE
zV7ZM-z^eauZE=&Tez`vc73DTuV*f=u|B$-BW=cYpm49T!dfkDzBC5F%L?${3W3%#>
zscIgqjNI%$jLtG`4npWGHYG9T=qx;3%T^0=#(fZ$mUoQDOSDBvT2>YXclr+lv0FRq
z5D+^}NwflCP%Ej5jeVm53B^TB#b!F-vRKw@C!#8{&|5Z%qP9|#n#2;X=4v}*e^fj3
zkWu7JNhF5DIL^4mi!b1~`U6(gf}QWnxrr1^s5?=EiF7!5hiB2Zbin9*$S6Lit%am0
z-U^kVh&!?+h&-eexInyuQs9IiI#&wzb{FWVcK#c+`3eF2G?8c<i?j_7O-s>2#zvH-
z7N;6~$GZO&Z5fm5e$fDHxNYq5%i39o)cYP&5~}>X+mwWIstodr(Wx%yDK$8W(u+}p
zMiH5UP2<bjnn`LJD+X#b{Rn%uy^hjw`TK%410e(XoGA%qAY9)WpsNgor-~SmP+a`0
z>4X*J0v3tyoZiVkD?D>kTf7A82|Eppv7xQLwKst_${08CXN7iNA)8uCB-;A)-Y*HC
z=au4M+4VhVMef!XF1o~q6zTSh$$3y>!{v0RcD5m%ZZjpJN=TYv>2)J=p{Pr1sWWhn
zR1koccMQVg+M*-{VUb!!O1uays(|GY?W{vUoG~Ra<v@g&?FPEF!><{RS85BC6pkdT
zdar2b9zx`@DTygZBx2G}0FsFJjLGxbA|=IS8L#Zcz(SPUh`9b|wX+X_@-wC+rW};;
zte*fT;nxhwA7~4d6q2R1zPB?XzpI^l2$7GOl9+Ntmis0HrC?`fTx=1nM<P=&E??Ca
zD=98327G+MNi4JgEnK<(gEj*pXue`fV#=XeMtzWAn<?Dmoc7lVA`_K>fmw9h6a}qt
z2#e$jru|5+gi=*qKVLil5H5YDB&Hmf9#7WVp)F|ALeyqc<+i8|X>$@n?KV>qt*9Ba
zM^%%S8$kvn6c>w3-GXS+9-Q7L?U3Ad8GOYlYs|XL+j5Ehvs0IbQn&;nRk>8=*8xXj
z-|e+_FKFWzZHy>>Tx++Woma@*EFxjh+BNQZ-gT5GJ*IGfSY82)Q^u+_3l{O=h&Q<F
z8UcVyHB+VR2%OH@vMrh+4R-Bs)Ye);gxuW&LN=P*$*X~JyEMOSX_AeWp{Av5A@BdR
zHj5!(U)LGfo_9@eJSh$l0r)P#k*l<`9pfm)3`D94(lcDYtgVZraNP(EZa(+~+7rk#
z%?)IHB+nse-lNS<2%2}Bl2Fd|c~cU~#j}BQ<>H?rF4~%sv5VLaJz}M74m|<72DYLa
zZt{r%Ha_w^g~TafTL#~=t$jgTtx0Wd2llYBOg<|knJ_p<FCk@W?-o9%&0fg%KFyG|
zJL9wWy_+|wGN$|j9Fr_iCH#V2$8NGu7_skbt0XC6n<Bjfa4tN!;5_6YzN5`i2&Dfs
zC7~R||6!ba-CcU)-n`x5I=WhM>eX5$XE{!#hFiZ?ty;YZ1FeCgnB)USGL`O4iz^g3
zxdQ_p*XaP)xIvucI)vkTZGJ*HUS~?86-NUvtsFfUc>@xPi>Y$-cRyIJTVpjC!xyd|
z9m6RK{)A%(hYuSug@&6TebCOjqQnMxQX8$LuH>EppPc0D(T$Lt(%C~L0Gm1~IYrL^
z${DiEW7>>{Eb}2E(KhUFTcw*$To{zopRw{*QbPHoO^<0)66`oT8Wrv9e#~$_sja1?
zaKiqqzO^LL(olDslqQ5=S(~>If)`9ls8U@pC82x^+tF0|7E_D6`7|xFQyXjxFjAvX
zTa7mAjhY3m&z2Ftq#v<`{k*pRl3Lj20p^~31(pkW`dS*ePc!$h(@n(UrFUxc6tb*$
zn37PI6;ofBV!A<g9iSJ1Wt3Jv&`A@l5#kavhQF^ZY*Gww@Hzu9xF>FT-}JU#;p5u8
zgs}S^QxdJ%85C*d6}VH$fP~^=#54p(E?`2;!_(V)xGHKcddqHv_Jdw0;SaT8incnG
zGOm;Gd)j%0tm@lDqHVO$`$nU0>Pw(C;d{=-cl}^*8Vw;ucAgS*op!b%ovt<|p~}b#
zBGL0$t!3Iv0DzWv48mS*Q4(6S8#^WDKJBbSK-_IgV#<LC&v^-85q`~ZSlR+5g(Jz7
zm=W#VLx^NdNlZB+5mR0QkVL#^OrF&iDJdq2ro_BKJNpnQuQeqx<)DP;yaX@_zh+3@
zr!7!YNRmv6`6cb#Lx}u0Qxa2-NaTc<04R|u7?;1$7Aq+(38%#TnKlC<X#T{M#FRtR
z<Ea<l)D|=;Sh`a$zM;)Y2(^DTCDDqSLCZ%qo;cVxAfdSUrfJB}ji-jYxL(O+%8l`i
zRj${tPycFji+vIr8%M6OPvg&Q`*!^4vk&7>zdejUi|nKP@P7Q6Y3KOoIR0E?5Ax4i
z{<)KXGW@fFf7bBN7XI18Kb!bx8~@zIKU?u<rhS0#*748v{Ii#T*7MH}{<({P9^s#t
z^3Nguxq*L9;Ll9^WqfxF{~Y6=`}iltKj-*oAOAd#KQrwSz8m15+xX`Q|Gb2M_Vdpj
z{Bw$bZsniH_-7aYoadh`|J=hrdHk7a-_3Vt`DZu(Z0Dbc@Mor-=DUsjb2C4@7k{p`
zAH|<O`w9G6Y+r{zv+Xnd5Kqg6J3KxT5W|zHASE6`aAdBHyMrECNh?i`%(HQn1#ri9
z(~-W0y9f=&v2tKDBe)Cy)h0h0EspsfErC?^nq_5*<y@%&I|X=lbq?(7Icy%k882_a
z%Uj`M*=S1ma@$gPv;!}<<7GEq?!?O}yqv+y!+3cVE*4oHe)Uy+^mV-a3ts*WFW<n+
zf8gam@$zlFd>1d@$IB1lV%cb3_<eH)Jo*W|yd5t;jhCOn%RBM%b9i|kFYm(3FW}`p
zaItJOCH($-tKiYf)o@vjm$i6VhnMwuxdAU5@iKsyO?cUim#uiY6)$PL4B=%vUUuST
z7hdkb%S+&5*=T>~n)bKX!10|n+6d<Sm38p`@8M$EXcO@MruFz9Z2{kZ6YlJ9<K=sJ
z`5|7e*#MW>c$tfre!MKi%M!dShl@pKgWn&!5gwhu%S-Wc8ZT$@@+4jyxL9OHkTIPr
z+HjX(Prs9?S28tgq){y8348?o%|H*G3xPdJCeZQ-4Wi`{nn%kcGzxr#HZw_vq3+N^
z)E%0Nx<i{$cW5(shu&+Fj7Qy}6{$NkCv}H*rS8zc)E!!yx<ivwcW8U+4vkRVp*5;I
zv_`x`>zpLBRCj2f>JAN6-J!**J2YK&hc>M4(3sU7TD7`E^Hz6g=jsma9PiNXC&}Q|
z9a_G+!y=&Wuq>!MEEMVvONY9{VxsP_yr?@YIO+~dkh;U7r0%dxsXHuO>JCepy2Ik8
z?y%gcJ1l_e4ojlC!y>8fuuS3|7STy6lX!<^bdn0Ey2H|mcUV{_sdVBUmexrsrs@vM
ztGdI2tM0G_t2->p>JH1ay2HY)?y!`rJ1p+%4$Hl|!*Y*zSba>A15kJ93Dh0B1a*hL
zLEWK~P<QAp)E&ADyu(Upvf(ZqD^*6oYf#1EG~e8GmvW6_<pWRq^Of;zv5a#D(XqJK
z<mhL9tx~CHoQd&~N~vj&0!??$X})`FbL&&&gRZ-F#tb+i+4=vddlN9rlB+zh#Ude)
zECwtrtgW@TTGH!H>P71AS~6?vs$6R8z5D59=FQCaI`h5MTdKQc+4|5}<8G_aSf+#q
zFqqw73<iV2V6hmp?~E8RFc=I21A_()%xDG%24+sgT_R4Lb7H%<)UrQ+*`hM<|Nn8~
z#EBCp;>I0r?7@EPk&Vfv;;Q+-j~08AC*lA8+#$RnKZpPE1zW}D-au_yPsZ?nK5uKX
zIUel8BcpGIn6!H3MZ?*-!v33Qt~|fLxeF0*T8ytgcJ;~&`-Aahyk!1mv2o>jlZ{ca
zIaf2{?yF8;x482B&E3Ixr+{1QbUU6`{h!V6KW}rW-hBrN&|38fJW>6No_=3g|6dSp
zx7EKau6*|9!GZeg(UqGZ*bc!Kqc4a5h3zo<5d72X=%1>eSDvriyf$4sfQJ69c>%Zj
z4d%r<G=6^u|MG(RUye+7;Qt<7)sKEy|J1e^eI@+wXGR}^pD+=8mHrPD=U)W|uiCl$
zjkWydbJa?rnhxLzm21L(RIUmCQMo4kN9CIEAC+suf2suGhAW?QFc?m+UisVQ=b+!A
zKRr_KFJHa##pOTibC=D(?tb~|99-qO>a#6-#nmh7A}q*aime;oc>N7<(yV+2A-(bH
zl@}`?t1)`@BUd$;Nj*LajlJ?JPE1cd54}=;ujop}f|TJu(a3|5%A+5<dczGP4gIDd
zbZ>BJI_c{Hapgv)`G~~&<I*alA5#su<H-Hz)|Nr<^*4ae&-D2_)O@=w1_P}0=7>M*
z)##=1ZYVjAYRoyjj(PnJDInJm=CD}VSj-Eczdhy2(h`ah2|1=R7FYspPSho>iDJM(
z)X}2LpylmJS`aDHb9^}K?+@miyUIONFw4&rU%y|>cPCpQ=xr$v_i9$8<!%L$sKPSI
zElCR0A0zft>R%v=ZuOx}gLYExO_qX)k*+1J3-;)toAQlwXS$-25@|WT1Ho)Vxl4bi
z7#A>KO{U3?)40sxBuxx8(ss{qygf-YkUhH7+((fi`eWeIv-xzfsZN1xCF-!eIBj4f
zQl#hJy<)rrN9NN8wI$@Xq~0mnkb=YQ$5C2PsritKd#8|V4fO1r(jXJq((F*OAqB@~
z@UqF~9CFJiip#V74oUM2L|W=8biFKTy5AVgis<Ry{4tvDj{?SW>~!B?_^12k&w4dF
zGI`u|PeEd*d-|j>-3NmbMM4@pL5V)uBS9%Rqf(Ii)U`@7(%9ATLcI_>bNNMhW-j_*
z*$vFh6(61{sBIF@AfykfG{?*d$TsnLAcf7>Bj<tXGdrUzW@e|4^+GdyWR6Oa6LM7g
zFrTAFO(zsAYC55h^_b}-Vq&L2w##@XH2PrAp4f|#+G#NpNVNjQ>*8_<R!h;|=Il~6
zf4nicTx|Z<o<82TbpHP6*`r2)*ma{k+t+{9tDw=q)JbVSv{G~-P|$vBJhd=w9B*dt
z&B@+kf9%Z~h!!h}dq;v4mlK)g&{nZG+#k;27DrD;>64OVm6{A|c-LYwFQ91kY0=P-
zAq{u$>KaR~5j-=hYr9^_gxHUkADQTnr;{hMed3N3pU@w*DEW|*B{a3=n!_`<6LTO!
zq(#rkxe{(lu!j0m#C$~kOFz6ecN=4eV^3AdeN4=5me9nWYl@WKK!nI9r<m#7Un6jv
zX(mfg9mRbpm_@uJR3C5=QA|&96Ox86gYQNZ*@%F$JlbSco{8Iiluusn4%Y-+Alp+@
zf|s2(R5jRpt80;y+|#bm+?p^{>noV;RO0TKQUEbPWB!!p+j(0tQU_B^*7W*tm0bs#
zE3XS?Oe7%nmSY#%>QP9OUZegC34<EXQ=Gb~-)KBEy!Dc@uRRl9o%iGd&Eses-5kMJ
z%BUzx@?z9SHhgoO4f~7vaBp_?O0}^e?}wC><zL$_QwDfc>*V)vsOd^>FtKOYDr1y?
zS3chmA(JmR|J<L9`>Lnpy(Etg&qQPCAY4ew$<4|55^O=hX`8t^b^)tf*v80`<5@{t
za#%hj>BwR{gx!>)l9Qz+u8S}c60tm*LDzsml=N-b%Dk3cM7WTYLu%>O*MGCMon;MA
zptE|$ra=NA%vJ)j*tG}C5vdw34TnoTE2ftwL%l1JJW^w+D-J~c_Gy`$XSLb0v1wbp
zWI(h~j{sxqNh`0j0|D7Kcgce2k81jZ!Sr1V*cr<7H_yt@ZoO)#VL~#_Xc_b3sd;}e
z>+ivhPyNZZ3Qn`E?(n3Yt{{#RNjtGsz?yZg!*;Xpo2BY5#T^_N932w0RQ<(fvA3t|
z99d#KJ2RGvTq-2wxLPPQWd%6A02icXY4NOEEG-Nhl5=PqPWtr6^WFa5WHU=gT->y2
zkbskFpGx^J_-%iCI@!;k>f`2CmJdlf1Phl-gT3Kae=*&=hBmQjumIpy)9S|Md674k
z<2uErDFqZGb%5Mt?QacdoGLRr7=Qy!ru~h@_BPxwcjdNV4$nMgXP~Fcx<@hCuP|e~
zf#O0gdXF4K=-*e{7ls;j&FSON+_mXZ-O!V8ZUPn%Q73vR5eV~~1)zW5W2oz1Q|J9n
zuSKjA;HsE|-Ks_%UME<8ZTHe$`u^2r2+&a`FeuP;Pu5}nuGbKtPFU6fE>x}NV9=_}
z6G6FW%S8q`+qA9{gtB1WSEm>CfR!DNLw0v;4y8S=w;OB)$XF-i$}lmyJT+AAalRaL
zVsp3Hd_payVCoB;qv23ZolGyv`P6`Wu!o3|jdbecTh?=Uc9F=ll;R%Mu7ngE(=HvZ
zsd8wx5YHUQJzDxSvvYhx#h)f~Yh#+!UP8pkMk~oRR<6m$fAo2Y1pi^^k-kHrS}QBZ
zuJxt55vjSJDCf<H^H{7FFh+gUGPT<fF*3{HaQ!tT#*=q*kD~3{st$WNrVPq~8GlJt
zVV6Ve6S)!9U{-|fC7zNN_iPVUg^Q7TDbVB!5vQNastU~Vu)iEk?93nAnZh0SonKpB
zj!hIA49F8aMS|wfdNn%oySU>}6a?i69$V8Vg$yD7C>({1jP3M6I8JY!ze9#OTpt<q
zg>{N(OYsZ^`e3i-Ln_iv9#d3Xj;C}%A1r&xKJtuo#h;m?(6%PeOiUlF79CaGMtUO8
z0Z~jht4!;&I%`B)^rVpQHJ()|l}~e|*pqb>%kCFX)=wW4^P~8aY!uX1ljbFIZj^qK
zjnUO?`gzu+^s(R`bnrMR#Y8bU&230d6mfKn5n!c4o~(>M$mJeU$LA=N$vn~&FnPz}
zh`fUlU}qhkdNqC0%{kN!1SaR`g{w+U$y=u#ZwaOy=<n^!<DT`hOdp+m*hr9nc(&i|
zzwB8wC}f`03%gLQLV`l$z>|_o&kGsJX%t9&0bK&NW0)seNRRiB0A#S$CUJ>41t{U$
z^7OR9FY~0wP4ZM}KnknkWW*v%!nft+SWjMTovG(-RWMbqm)3AMXYib)l-kBueRMLO
zrN|1zp8AuhM%e)MUYU1>D=iYD-FKe6Q+iy?D9$qFh0IQD=JDg{9uS<(mqJwzspTk^
z<#Z*P*_XqW1yPLUR-P?J>2YqBUyi9TNPuRp&r!q7_{Sq=d{K-&?|U*->3MhdR~HYN
z*}vKx@|~YIuaETihffX1aG2@VU<yDVvh#q`=MU6&`T5<Vm@h+2SW&o9+ZF`Zzi~tU
zyvH$@A*mRt%b1L5B8oA3>s<%6h+>TSW7`yWT!143$_7!*Z!rADnC8!VH9CsAam5%4
zf`W#p7(<^FQlFFMagtdd3Y~CfV(fi2o}${(-?ObqAMClj$UN~y2a0S<@(fn`pr`0?
zcs_Ze7!TjA4|K_s2*osU%u{ZlkM(LkWR=L$2ZeLfm^3YQ3Wc;pt>G9Y&0OqR!_mjM
zSD=E$7Ybv$hG!K`AJl^fwLiA_La}TSp5hCAP)wELi!T(^R+Bbb<Rwdb@rBXVIErUM
zKpzXHYr*0R#Y8bT&231E7Eyd*1X#&g+OS~`;K!6c7zuU?<SBj7C*9=dwP=QaC13hD
zfa6y?J8-D@>XlcpiH`XLdnUhGtr^sl<wm-6^s{*wrtnweXx{uvJ5mXS#{F&TS{^w3
zyfK*#=a+rQa2hCJd7Z?9&=Aq>sxA6*r^FUH%iKnWZjlXG(wRF6_3b||XFFuC{CW=L
zoiF3MqxrS&jDfyA(`0csc_Dkv>!$q*1`fmcNSFs~A2@onx@n;L8ithA)tV_B^cP-^
z$$#2hJW!FL9z3yI>>ZFLYdo0A9dM;99s%AS+&e&;*7d{i9@4=9y?H1e*q$}?QH`do
z5|7bCQjp3Arv(f#xO4*jiBm3#XR_6<pph7l0T~D*38_A%(cITz;wfyIxRMf&Q5toI
zbgjWk5BjJ2o*oVl@yND1ec&vo%WWk{<4G9t#a<^pjF%zt4OBs=*h8w;(MSC{QI|bh
zkQAhHMNJ}5dw{F+I*B%VZJN`&MhDV&X0WwYj^s|{>9?_R<TWyoI&D4eC7%J-D|H}!
z_raLi8g9-zu^m21nJ_jg5lGp2-QQMh=|rO5Aj;`pR}Ip7M*UU~@J>W#`(Psjsk@-H
z+n+t{M5Qk6XPeTNgVdfa4~`xT58#4^F)fM2yOqgsaAiIop*qA`Ye706)~`0`cPRFT
z8`Hs5r|X&Xzgt4dwk;8bG(TW|y)~RY(Z&s&_r|j=j1?iZkLlm351hk^@BM?x81Auc
z6-6D*XEHmh$LT`K*VJe8^sAaJt=yC;vU4I^3DS7t!W8Zu9&GICi_^}OOR%ivO!WGJ
zV?>%@r#xvU;sDL4$E6+5sOMl{&wP%woo#|^%CO;}jl$?r!@=k)d}&s>!FgwE$<EL@
z8#{DZ;haKj>n53MExZ{)?QGo$LOSoypQ|{-7{@r>%Dz|?QhX-0YT(xyovCmzw0>|=
z57PAd0f%m{DDP`!P9zFhb5;K;VND(qicim^hOANzQuwGIYdT9wo$*<%P8?|Gr&t@(
z4OK~aQ8hQaijltB&L>=XNc~D;y@AyWsdfE&Nc5VS17a!<7twM*zVg7qcQ?+EC}dAn
zV@h46vRa$jAUdDoV0zqo^#c4ObXjU0jKjB08od(WfRxZi6SC-IY{9WRPdL|Vbg|-)
z{tI?q+g*~-&f2ynr1qT39n0w4oz@erOl%ZUrRmi^&iPC>(_U$*2q}H2RaL_;xZT`9
zgdyDz>R(&qvOAB6-hJR&ua^@vUcd+a(3a{AFtsiA3g<i-&Q!`p$(1*he~NF!;{MX!
zU|Tw}m`~0xHqI40aK%dbwVD<9SVG*&R5Qa48$S8KaP|Zm)Kw?;r;|YMXhI3hi~!#f
z*$dGF2}l!ML!%7Cyvv=?N+Zmd!25;OI*_`zsqN8~a<ipO6=9d$6Q?u<^cTKKmupD_
zjQGGB?^+C}@O`#-7x2-Tn2pD>RSg_Ee&MSaIM2b39m9;oE$Mb-iL!FPuq!uh@$7k?
zW~Wr|eD5^aPD;}36x!LmTieOMit>oTXJ)*<!|h)lR^JP4rvM*#^D8iH$XAZ(^BC$=
zMNt8#>2kMlj1SNFr8JaC3ETu&?f1c@Qsw1Vp#iMVDXi#G-z3=hV0BoCp5ZkkQgc|(
zmNC1Ju7@;AQhLX*Ar*(3@=s##G$K;^r6EHaPAF~Kj&(%I)e@eJ8u!vk0U|}34o6gz
z+<tK?2>8-lzn_rvCQA_c!75J{!=2sW)_^Od>6?@YiwKb|?x_}qxxIp4ee)ZlqC))l
znTkn7rN=df(<>>X7xN-baF=-WK8UNR=^o!{Dd!<L_HFo(l6#d)H)-!mdWM2eMoQg-
z8IXdb;k^yh8jNGowK!Ygr^!yn$tJ)=`zl5>dVHs0q}KErdSsu~W;)7M<@j)xwnhZf
zrtiWrGgPj?#-)ArJke};UPk&(CB<Q<Gaa+VMMI21EBR;8q!F2CVo*Eb3@=mY`1WMO
z$F#cGj8m3{kF>`H1uh3Yk7H=Ae>pvw<z-k2_A-;Zw(ZalfBtpPxlaARE54(M;!rR`
zkig@qQ?S#s&G^JG;zsr>Hz{9aSBZJnv(L!;>Xf3@SS`qau$<1xrzA6GjanoDsk_i-
z4eMyM7TB4#46SNU+qp>Yh;BSGZpDooDQ83L`D+PGVKM>V$y3oIi44@=r_`^bYS9vb
zk(U)_41cMs7`+VDLT?6MPc2k^MX21zoNt$>1Fv4G-c}H5qRbPhHo63eXJF^?!ts@;
z43^@_wNd)FJ%<i;&ckdpks@0d9M$23`g<59qAGWhIGsE=!-U4egfj+Vh`<_qJuZ%f
zd5lzHtcD@vi1HxL8(NvvNn?cFqX@NF6LR0PXqssyw~5ih38M(1NDR^mH-mak#D$?v
zrwdh|Fa%jYo(`s2VNjz>nAyS*>@NIixDI{*-(%^fNAtB+GEiTxGz;Hu)Cu{0gyk9`
zNZ<Kp@!LwDGko(^Hgb^4b9f!xN@_E7^J5HFgOslNSLNY;a*O*yMI#JE*XL)W*5_el
zdy$?W|Bx7D!~68F#FcuQK;iwAFbKD1Up0%+7FmzA4iV1&MW{1MknJ8yS}%op?7nW3
zp@mjXt0wR6W_0IU)+i}0Ta1pN6~G<g6~F*K%MQx`c)xS6zd0V)3xV6qCp`-R{y}>^
zaDHPk+}r9G`x{$*bv$l38CS2N2=Ashl?>I{EIzCcJlP@pNRL&4JaKIkZUdSZ{hhrD
z)aMns>ex0Sh0=o9t{zc<1fE^04RS_x)Y5nyzrbRR0(SI-L-rB9+|s{68j#N2<W*M+
z6<UKm%J2Hh7UoSDu_D_{T#+R;shQ#*?5I6NEb5@g<5z2W%{bpxGo+oeZM<soN8qG3
zIEmrKj#`5CqTYZHKB?{s?hmIrwOPGf=%^7$C~CvS;0iFQ6PoehsaK=`lGWiuQLDog
z3S(_g){z3pt{fkVS~;fBbg!FRRX)-z<~kgzjhC!<<ll`*<lBR0iPxcaC(Lx!f<`K8
z!8`H#uft|EUC>pW#7a>s9u2QllN{ga0^u#8)Tm2WvG_ccZyA;(-&&M)72o9*?t|eK
zZmxLYJb1F*ONH2D%$oCBm|b|kG+DV(iPY~TuZ(lMpt~$Ov}%6TtW~c?6zZx+jLNb{
ziqXr_iu$g=idr3!9c~Xd2Wqto`Q5<;z7$=3g8NSYn%eWIy{d-G2FmYG!+*CIGexsM
zfNxMgrC#V?Sz1xn4K7_}E?5~#wv-?01vDY=?n4H)In=`8e+=LgtlP8A$+YOt76-~)
z&q@OVnot8S>iNU%<@U0rDzDG(-0y17y%l+G;37KflYw;&$bS(XeZcn8qf3*$#r}8|
zzJVB7s?dM0KblzbgCh#Z2?=x0Aw#{jj@B-o*y9RtQBA%qm7qchP;9W)dq`#YqN8A|
zjXtT69Mo5>jgYeFOIgAKoxDq`Km}!bmei3~n}oGC`K|COZV*A<jE=byEC_FUTdFk%
z&B!l$^ahshsWxN9>FR8a{IW)W9wFwyYl0cGz0tF9SqUs$LS5wUut}TbAso6iiMt9j
zY(8r(k{uQ0#Yf;$$s~Eg5vw2ux4E`r5_fTV5$Y3ryGq)G4q^0+4ivLtYmIsPFJG#C
zwo_WQ1+}u8knFUZPlG*YTeyYl(8@;NUx$3SP2g<i9pT((u+@R{T2c3921(59lkK{6
zrS*1{ukxS2&~}FR{(7qLSJqeH{}R4MD*UmXr`|VL*NpY8?{riT#ia8{1LUhhct(HL
zlL*mBIDT<#BrQWz&qQ8;hPXhIa8w-qSx+ECiq@NKLH6z_RO33rgb{@zyrpvy-!0Xd
zRADzFPAb-fta{p?AVlFCg9_)tqEKjxa6ylR`fW~W@`wVrBe4+IqHsL#%&cg&;z^t+
zcw43r*P?K^l;IJ)Xld)2PJZ3WKe008pO2g01#c0JGL4(j3iEOlR(a8-eF+!RKG52u
z@8^u7bma@XH&IyOdpgfR!BD;zJc`72X<-o-g~Qy^bpc(7^_dYLkR;>{t5t2I?Z9jD
zGvU-$oHe;Zi~2GcET{Z8bVb42oi5xc9fc#`&-G~14n-81En28RN8vz`EtIjJk2?hu
zMQ3K;R+hFEA-~o4x|VZWXRa%hI-=TZmKXRt3;LZc9j`i**(yI&%L^@sS~K*{R+Jq~
zzqht#sR!vSZ{e~pA@9tpt!7-kXtQM@)eq=jTT!et(ZXHWQ9Y$S){d=6^YZ!mwEB4O
za*K7Aa3cj4$WkFStI4Y@7SlLq)GWnf2rI1fcr_E-!z_i785KKO4Bs92fqMrcI>#s!
z%7+mcbY*oeV`arQ-kvjs-NP7xNDlJH(<!T}pv0*4DT~6bs2(zF6aS4e5hif+`WF6(
zRUvCyw;d<0rdXr6qJ?uz5zP;*q{_F1Ggnek(uI?g(b64l$m;hctfF|a)+UFrwHhOo
zW+Ug&awTpB6;#+F4j?(mhG!C2PrS-z?G&{VWii;Zv1jesy(2S5Wp$#&W*vvD2rs2G
zOOuWSuPGk{UiD?tX&Em`oxH~jW@RDeXYKV#M{|A)3)^at&NY>RrmdD(lbCs5*#3_h
z@J0*LsNWw;S}6r2w#f06L>ia071LHp0f{ZG$gGg=*J}-XDbkT!wwOhUB-HQvW(PY`
zbtE{d_RIE<e`WOc<reE9;od|%Y%Bs~sWR(?*AjJ=yNE36TWIJ_v8XBAdbp0AH9L}a
z&ZKvVDV)XNCT>yFq4j(qU0X96Qxao~z!ey^__3b11S$o{f)}+qCt-^n3KoZ}F)GAZ
z&wI-6#pnUF75x?nk)DfmwqTsVp;leF)n9FXbNTmgQNIvoWb4oE?dX%jz2Cv>#T^Z>
z^DDfK@BE>3H#q9DGv15FBN5G%>T`Ev7fBhpavbhT30*m!EYX*nL`bX^AuBfDW?nZ%
z{&E{nyoB7*Egy+>{;>Hnb3=ucoU58JnfB+G4+?JrYPD9~VYmz~-GHJn8)-5E0vUa^
z=b^=5q0RBXK!EV7boNRk-H!@w#2}4<Gk(FIapRcp5Q(puw9FKJN;0gmS-EBRvhS3n
z&YJ?4XeVg&ZQXk<Xmp?+hO^n)L)-XZV?bXv;uTl@5-E#5n;o{EGf1-g8Rs5IZOSJ}
zlLh;Zm3ZxH1Xl?i(j0l7JS?|y0AHTs6)G-zkC{+qZy+bnEy8uNa@!0Wvf0I|8QIf|
z!9_Dnau*vM-z2kA$;}zwhQXva$>GO<)H1O-n|Y_DLT894JEEntk%W|9z(KyH+-AhI
z>36IMsa=mad&dq)V+VKcP7dw{ica5FxQtlFB`R%WQxh@C;;#HAvVA10r4u+l>)Qto
zSioA7a)JJw9bQ|CZamjlix0`Q^<cj>X-Zc*eJ3q~I-!Kf)aQ;jlagJd%UH+yPB3%Y
zY&vAO`>VgsotA81G%xuIa3O_t#IHml!K>B78NH0OHty&v6vqlh3h!^`fwmf*ah~ds
zc6)n`D5Uiwo(kFuZj9Qh_pv6V_iX0$WShdBpL`qeK?hKJkixVh%^`eOYb(2Yrl{m2
z&8fnD2dqL^fk`Um;9`i%B&@!}4j~lzEmwVTF=`Vj#9@@Cu1f8(P;PeUDg*N36U*>{
zzRmeMT->m39bL<qsUj;kJRj0@E^X}di0*)jtb6fbG(Cln9w$~scx2PNkqZ(Yrk+TV
z9Uo|>g7|RH!@I_e^h6#^n4$D+sz*%V({}EPoM$nH^=)ZdgO7*NVvQ<fU+X|q+7gAQ
za*f<hw`UGW`Fwk%v7H3Qcc3Y3awDBvsyt8uBqp+g&Fy!4+Zi0oLXHyoJ?uzZH@R2j
zDwc1#Jay^sVW&=AJc${Ek!wL7Mw+~iEWyRFEvK#9mDQo|xPwEMtGZ06f6t^%ST2@3
z@FUlJE)1QdPE`$v5C1Nv=|JBmxW`WH#H6=objWC-%n3P>$-Ub^VKQ3BOOqBdo6#D%
zsAB~R6VUx8Ql?EnE{W@bxmvLvG)AoR%5g_WJWl1xjZER)RtJ_FaIVtcnvLBjc3Dud
zB-gN53Nq}fT`KFsQ6uXlZad`(<xEb=&V@ITC^D0G0i;Rfr24~S<4t(kbgSiD5_#xE
zAVj^oUiEldhjPux2|x@E8^|BbSYZgQcgJ*O!XTgtVO_6?Ofc=xxRIrKpIoC0dBXYh
z<bvrw*SwM2bdp|D4YRgB(x;*by)EtQnV8;bewQ^dMTqwuPIsm`1}!j6J&5Oqlxd0~
zL$g&&qhn#nsW0YFTAb)6#zmG*CAYR!A-(5wr!cSDguI2pktVdGs&(sj@h_vACtN=1
zE>Q^;vRdNdFaqWVt;iB1!J#Xo<{DYJHFovbx&HQK3fIV{%?H@TvpHOPyJ@nN$T~RH
zT3;rMlp(Xe6QpkL_GiU-UW_*j_<YTHXTIzCs#>tuu6NZ(7I3I~UK*00exQud7&Awn
zIUopZIumpGW7w9?!ZamawFj+`!ek$7BqlIMj4bC81YdD9`*0p%aic)CS~Jm;lN;7)
zldL2F#{$O#BI|Ud;em-i^BgmwK~sLVaXpiL<|#rdw3+53_euzYyhe?>7%)8c8-)q^
zHS!&4Qa@3?!lYaDY1yaa`A{HF+^6Fa-O(KxE_pCI(P!@}@dPGjMs61HFuuUKZ6yE;
z>mJ199EGPgEqFw^GYs26<(r3T?!1RIg;9z8Bz>=x=QPqI$3G9lPW?H1r98ar(2)_9
z2NRNj?43uR#g*L7w>{Hro1Mov>5+*m4;GkkGj|?&E;Q@5Gq`8!&D?nuBsa5LWJbfo
z$dho^&LdA^Vnt*jk%y6{<CE5(+ev%IN;|S>ED)kVn^-CoAl+yXnaT)gbV}al*NE|p
zZ-I#{VujB`xmlb5*W+a(gYQ^#^{lx`t3MbI_Abwc2`h3zgYn`=lP7E2E$!Kw(TUoW
zzVi?iAGzx#;IQ*`&d!5?@A`Xsz(A&MwnUIsvv(dO(M>FlEYb=%zDzW`rY~^0hHk0c
zlV`N4=|_r>tmzAAflMQ_rZ148RHLQQJ-J3^O<xk-ICx}DU%-*GjjWo!z+wV*WKCbd
zk@AhDbHz^al&Tc0*M|}^QjI&~CK1YoLfLBCh9pIE<3MBvM1g2-@%X`XIGGOTm(^$1
zs;{ocCl-`}<P?#^ha$l&MwB75J~BJl8^X&(*G6|_#?I(=Wg*e0t9a1L#?45NJj2C^
ztYjc<=bM?hl{%-G8<`C=8XGxCrQUNeTmP-3HinE$VFZyz4O03bo^V?!b&Q&?7i&U#
ztrv8XYx>kOZqSOHl_*eP>W6#Kb55O69yIIc8yL$$241(f%Uiia<G7J41=?D9nqSS?
zx~BwYhL1cSM<Jxi{ZyF@&<8T6_{d|r5+mwg{b?s143bx}Ok0{hj+}}liINpBq@^Vi
zygSY#ds~8|DN22;G=9KH*v2K3YRt56*cJ9e&3x5?QYYRgCCQB5MjG;0T@x^qR|m2i
zpN%}tA@!7Rm2JI|nRaqcB6B^st#;28TYh9F@4|yv`M!_LRFe~2JJ*xo0@Lk7cz%mL
zJtwiDNw=-xu{7lB_vcN$qU^@elXfDQk!kBfidUBOClZ@aBBNdJjEOEX5BISmeGjHh
zA3j`n07fQXK1e!^)YlBfM>!w9nMxw_S|1oYojlgW?2Z&WQ%dB*+^f5hh&<y__0Kue
zijT_}-1oH~E57-_eACMY4&T?t_+7LC>qI?JnBOI@<a~B>2WsSokq<I3-8_b4dhB%L
zV?<L<7af5mqK<gj4(}bgQZw~LR@8mAkXM1_CxsGkS@cnv0USBa`@qPWrWl<?ckl*2
z2dnRVha008^Wk3bbFlc2?fZ96Y~Rv{!)24{ysv7feK^}Qn@?3g!yT>Vt-jauC1ivN
z7qto>1VVq-W7&|uEftprdyB!m=npnG7t_J!<s30@i_qL7Oi0M8ngizBaJl|vF!OM{
zRXo+#Y43QjU*u>KN}bq1K2jv_)b4Pr(E27jJ0S4M!E_8sv0k>PcAfC{F;*t<AyMkM
z%pC3(DYn3=$~%htPZZO^3{I|3hl9Q0y9XP4S;iA82v}kiI}&`?@uS6jaDH<#g-e0U
z^g_Iw7;%Ba_hNj^;3MASivxJNfUyQY<*14%dj`uyqNuJj5B6+cr0DRpm@W1^??Z&O
zL=8GiOUZ~-EbDx1GTt8Uw6RK5EV7gsR;1<_D1;!;x|4)^MkR~F2OS$)q-S-oIUin9
zTU{`^7JGx~@ZH5!N+=|B`x9D1rAvCW$MGYDNA>62CNod<Py#nTExd>%Jy?FX4LFgK
zWu*iXjp=an)9Fcum8vPn-ltnl$%@n*S1K=o`_$1mEs~j@N{v1?FH)p?>&arcv)d{H
zrH*^0r({KH4s9%kds}Tf>aA%O?P)@!;k5pzGUI?FXDtI_RPJE~L_&_V-Mcy1+iPQ<
z+Y-&A_>h7Vo0I*61x%n@zWe;8h+&67;RQqKQ8-p-5hG2<>tF2;W>2)SPU@(#d6A;k
z`Ztrs9IVx!?G6rFWgDsU1;>vRo^$_VxHBHi7t>ZMh2mSVOKU6D8jw=x-Nm@R`1RA<
zyM`AjI@H?tQ=^n7L>i9kf9fAh_J*66+hiiCK5z3PMMt(S!vYOn%e^5j#@I1IxFAY&
zpo$XdIJrH9Bf*fMwND>~!&0Ig%#2i>)+^ZT`NS!}rslO4IZ}0>%D>AgCtF%mQxaYe
z7OmxSBW1_cZ--+QJbmwqOW^sLlFf@0oi@Kw^Gr)wsd)h*N7~MqU+bx+r8wceK*`v;
zBwqGa&5qQaQ0l4}->x%La|T3=G--=fnmXvt9E)Lgq;AC$UYoSd)F*7<c{{Y8lvU~i
z{)F@$Q~JvMz14y<HI7-dNY9DkcmuM8t^OEpmJ&bWCpFiefl@sT5hG29^oVFP8>VIn
znh<GNE=Q$u@HRqHS9gXLsX12uyLRX{a#Fp<qD6Wt>&y;{R!K{qbrdU7b4G8xO`aS#
z1%g&XD>WifcBJm`9@Kf-4XxBFWyy$C9NRCZI~^o;sUBp}B0WdSI#;WRlbZ8Zlt{<D
zYHOs;kV>r!C_bcMS^Z0YwmFeM@)r|+Q^%5FMQYBDC*%HnI)Ie`Y<rji)y71^xj(5@
zJwXD}xrYC!no--R6yDa4R9Oi?8c#wZ(9z_Yx}L(!NY&voJ!xaA)Ob`fA{EEVf9toM
zU{m9fMT_(tuYS>bicPHw*t}SgwWZQ(K1)?(^CCrO^tp;>ZJwp<NZm2D0rf0o))p<&
zb5!raZ7=rPjI`8!rJ55dS)MI6%5xE|rrXpR#;_ta_stdu>hQ))kA2wxZ)2a-%8AR3
zlr1&$UK>fm>x<$%(vTu8E6qQ5GY6-xV;Op+@3i@Y4(8s}nhqgH+K!a_hpn7FHMguN
zk&ct~er5YDpVavuGb2??_3v8QC)LXvQl#Zb2fmZqQ(UIDrayIWQsRt?kyB?D-f$A5
zfFl4|>GtEd<Q?~UQ`CM!362;~bEhUEgJPu>4mKSW)A?mMbrd(c%jd%9H4dpAaJ9mX
z?xadlQ*Mu|4%K=pHe{b8N<+Dv%vKTSx0Z^MkLpM~qv2X3SqF1EW63@xk!_K<m||I^
z4l2|p<si>il5CTb59zpD?+#^4xFuoiGG{SPlH(BBO5*08s#^#xvdKG=PGPv7dUJ|N
z$oY%qdfz@}54w_I1+%y;xUvSKM3z{pf29_{*<F(~Vr)jF<#hcUdo7x+DJj}>%t+gs
z`xo^|hirXubsnb!Ys=K^NF(&6Iq#6IE3q#PBhqqrJMT`4I+_ZxFWF}tvh#%`OW2G^
z%e`r*D(Fa$tL#>e!kwo$hEFwQdq!N1s}h1akws2ghZ$1EIO%O%U80sWo$RZt?BPHl
z(xZ2`v(8Xdoz-M?aeI%I9JLi{vm#AP>bK>#SHgz7t0&2WZAPT!r1?$iM!PF0X$~i}
zNYyFx>*Nh~S619A$?7+2L(<(@*XQu7INhS_lIC}1iiVO}srpsh&P%ou=0&>nxuxp&
zt-CL-`et>XLyVLiRmQ9q=c&=D2?R-T$s$BbV0Sxx+op2u+)NQsA~knwpU<95lV)^H
zh1idjBQ9Z^h8iMiHD&maj-%zjr)<wqAxYk05h5j(MH0?FP$3x>A*UWr(Q^mc!zL-h
zP+nx8dy>vOP}|&^vdUvlIvll*9Aq0L$x|#sWQlvricM^tm6{?c1FguAf_JErW_IXE
zT5l^R#C^n+Q?nH$jT6I%bgbf&0(H$OzgObkC@6a~>MX+<tgxB`vyB#aeu>prQ6u}Q
zo%$}O!=zOV=0tk#DU*n7^CZQWk_+)4E&na$<N_VpN%6%ZL`s&bU$mPPlh!IWBhqrz
zIyLa=iMkdcQnF<IB7ct{$tpG@(sB>{Cgly~%2AqhHpy2@F2sL|o|(w*oTMCq@*-VF
ztwR&pf|ACNMTnFfs!vR0$CISpq?!$BIATspWUEM;DGeXeal$<vk*y}F9^<kiO^2JU
z{%kREr`4+Yu%SaL?rZ)z`7{QN{Yk54h8QV3Y5t&X-jGxyBD6@=Qn^Q%_#T-X{gPs^
z&4{$zTmB|L-%HBED>9_uSe<hwodcnclaxVWPNe5>{kwddB#o(t4ym}et-mJq3zylR
zaSmOi&O}a4Jno!j6=xi3WSJwXFqQaLp*wbx<^#i5>L^CX(Y;P@EKd)<<9dE+4mW$i
zMMLm6#opB`H<W+-mhhk2cRJmnFKJv+5W!1rEIK$`^5!5>&tM}nS68J}o*{R>#b-g8
z_aud3$v;+Il)|~=q3Tlod?i9EA}FcokWI>0Y4kpk|C(1G)4i%r7!v%$)}?gh%csja
zp@f^hvQ#zsv{2j^^w^xpO8WSZKFXEfSHb`lr06qGgAEv9_NdVtXgUfd>u_RMni?H1
z_6E-NHTuQlm>VehHktvI<~2%;VMX>i>c1^j(BYUyD4_EX(;HBaX+ME#!NGy&tTT^h
zzh0RZWe_Q{$-Vkl;>;fwB22sdgT0asDL6V_?86mx;LI&l2#Y^Kg<(WWR;R_g7DHG!
z_u*2iNoF4n=5S%t23+g{laX-BT2RHZBY`W^;!-i4!N=2;xiSS>TT-d|7;>cVlv-9J
zZOMVCiOoWNL9iVmM!Ix;K?em-1&BvBVJOYTl%SHaR8ovyiE^md_;aZ0PRv((v#0Wp
z>>1!5b%$bqe>j^#a8W7PBJQq2jRX#R6Q4clU-uYnWaT?62hQNV(Z`EnYjduZ<{W+W
zrt7Y|@(R|P;OY7^!Em|g%Q-`u-)kEVMvtQ|daEC_w=sZ`xT!A)hYuh%RJVDlgs1FI
zyzeLgmlv<DSFlnN+|cr{(4)Az5cvBZWkx-G0b1K<uB%FiMfd;W4=bdD!Hrg>EF^Yq
zYq-5l;!irdi2(ShU^-GyDMA|0mi2*7RpQrcGgOwEkj`@zj8k+=2e(rge92Whmb$TB
zjc=s%Y<U&%XO=}vO-QHpQE7E+aTj`>L=}HjI>WqrW4~JaZQ^T79<T$&aDNDQdKMQh
z9~A4Y;}yOUKSebo16h1)HrPLaci3leqg4w(W@u0_dk{@!EgJw=gEyK{V+M7|yM`^f
z*l9~@!KfLJwvN$UchouLho67lbFNeW@5<Run?l0)9v&*K1~b<nXJkLpX=|`{)ID`t
z)3KAmps3#kyU=M<s?mnp@OTFk0@o+ClU+IAX%m>K;_(iWgim7&nDpT>=G;-s$cSQY
zx5JwpU4o-b^MUH+j>myrD(E)Y)`Ia!m=E{K#Y0_o!?{jJf>w(fur=SE7K5$+Y_R=b
z&J1p8E*n#fZbZw>y8_G1O}Jlw2R;uBZ?HM5&8t`L^shBNkJ<~))g?o*q}Q|I^`;CB
zi%xtb&bXNTP>)DJJ%7Qw=uCk{aYI^orU3SoG$i)Xo#A-cAHpTe>YL7D%t#@zmrYWz
zOTp_QiAeop3w7!16UAU-2w!&YUcMA0lH_BJNdNgjN}0lAmj0c13dtKU26K}<wfJ*r
zdE*auCe^hp$hMm}SM=n$NxGf%wi6G*N>MBBuME=p$i$x^%rtxT7*hODZBEbhUH=K4
zCTMK6!--TTNWtsXe_Y@%SPbfaFGaySs_qs~o{?<*_X|k}rrulZkL%S8wMV1h=tTB^
zWHBDTYf<#4gZXgMx!d4xh2~kLXDej2>z9&0qqS>=Nc#grbt}|-bGLKdQkf~qYie~!
z^MiGvqZ`fk8le->wLB#Hf_H(IVwCRlE3zDW#43t)Z)E&Izs%8SDMWUDuwIyTue%fH
zsO2Hi7yawTZ12DyM9Z`^T_rwZt+={3b0_X$Da4izR(g_*4ZXQL*@E?0C;6aV*C|FT
zXbpQuXbp>YNnshge*hadQ`nfjJ+Ok69<<l5C(7N35;J1yDqw=4@IiIUC51<-4bzet
zbtRl7QR%ZUMUKHVD-dx_9RtH9^J`V}<S`P1Y^P$<{wPd2R{CXnA6bvx%{voX%*7xZ
z8{${t61$h~-riphi8`<BuCK*~L`-w*4<uI2LtgnPUKX`h?5y0{>BicS?#Ifq)cTax
zv6re?(rVm`OHRq)VLeFyR(>=HGa3JWNLmZ!H-n2DMRw$fXbfQ2n?ny@gXVCf;$T+n
zm7jc7g#H6AoB5`+LuGLdnnqiJd~hQ-mPT}1lW9C~4cbM@W>Xv~a-vv7o1ECDH-IYd
znbwolbf(T8@snGa0-bPoPFU=<pIgELOysy0t-~!qzId_Jb{@VRJX<f%jC2ym#YETN
zNt_O(_tCcTn`1E67fbr-vblKuaJ!N3*DfxIGPIMCKI&?uvu$ujc;@WMLHkDbV^t7I
z&$~T?1~BVcGc%WAn^8$cV_^%A>-^};F`6;aWp7}`s5KW#qb|e5e?}duFQ%OYBC)pN
z9~F!Yr1p`vafl%>CKn6Q$)dR^^iaDf<W(+iVx%i4F=*IT4B}eggdpkg;AVO|uxjK*
zkG70JTtln?lsTI*sCAl!)NkU^oF9J}LNgXR><O$FwPo$%cs8FdHr4lnw>k+t$u$^G
z0n&JXe$3&pjfs=11sog~X)feO8jir|O^)dt9IYa4;gOo-&m58a?yYo8Q4B2{s4uU1
zAUmpXO!i_~+}e<$A_vIElImz>n+hJsWqhU^t8)>g7~P9X@NW;4;I~w1L%*9>OvyR2
z>I@owOTX$*SmXMhwF~iUD5R=&akwhy!G?mo6wW+P^@s=*&Mtb7k|p7yy-q1QBq1_~
z$*jF1amA3tfmBN=UlL-^(uiz5hIhi@qaS^EtyUji9B;v!B9k$F2{X#oXvbbZg8~A4
zD7`5^J*srqVD*UiJ1|A<393=kikMe%YbD+hL<QKfPpW~Ybr35SwP))9KA|#H-*`00
z@?jnGHzb(&n<K62k^p<0R@9oobTEEGT@F#ciw!>4(b$0=t=HMo!K1XM5TU3Y{TaL)
zUtP?h22S^_kY2z@YlR~dwLyDuIrDTce@*GEhgtT3H;qNg`-4k6|0P)8k%`){Rlbf7
zIlQ`+aIE6xwHOTDjB8FSYE3Z5G(DLZn4}yt39xoRq&YsnPvVNr?~_1%`F(gDm_%hJ
zZD}2t1jnrdAA+@we>X3Q0wqo>>e1GLrxu7DCbWD_6W!!S-6W`_Ja*B0bTCb;eb})Z
zx#aNRqt?;9j;149bvOC6r4f0?L(rN27t!+V-Hk)n0+H<d{Ras1HA~xlNr*jqgs?i;
z<0-`?F?1d3%5p$y;$n0?Dg#vK>72Xy>OiFzB86%&DFM9Ae-IBE%syu?|4%N%A6)?O
zC0&?_TKjXLu<pl~j|SzdMTf<Vyl*wM;O8VbfGG6iTa!|?(Ix&`u)r!9-xb+}dQa6P
zqOsgm`dD<4GE%Fv@!?6oViaR_sQcHe4)O*22nu^mehk_u%>5BaY?7$A8+5J`c*!Kv
zywK=+o$3kfF=|y?En&#ED}h3Lq}ax9TaGM}o2-?Q(jUhoj9>zI%aLVA?i)rwrmn6!
zSLc9j9n?-kq&tA(I)uMZX*HDS#Te2S*|N7uYIo5}o4PcnClifmvUr8dxjI+sQfteO
zuO*>Tz7|a1BFunhQ0Xjtq<hkY?V?qI?$VqsyWUcTEP7GD)CMUSyb<{sB-c_^$}L8Z
zq2#i<+D=R^w_zSuS5@05BClS#)t_0i57}wu(c=m>HmBs^Afd#!H=3l4`}3Yfi2CiM
zH<b)Qp&=l>X%YgV>EnsOBpgCClUueXGVz`YrnK>@@I|2UJ;$Z758y=6lNbc`ISH&3
zctbe8iramm)HMWdC#}*&kRc2<T|EQU<jvvCS4s}y+S;V|azYrOt&)L;sXhT|<*Z_e
z4dL4wrP~Ta80F@<3LIr-kCdJXCVwG#6jboHwiAX*Edz-=2k$p)`ZmMF-J#8vSc^dt
z*Wq7>W8YhLLHoG^v%^g(1<5=8#9}(1%!cy5T~Ho$V!e>dHeIa(X*;oB4CGzW6kXZV
zhEjkuo!T$9h8?NO?#EIC()B?3Z~ei>tiM%U8u~ZUQfw#HJwg~gP7%_40<tdomaGuI
z9r^P67Ze~(4~-AXunb>rP!X}qz>*!G9Zg8^>Dd#-ljCCcEDzvX1=4nEHs1ng>|}Dw
z9xSB>tSeY_2|8a>5X#oY6k1N}?+%SOyBQSO!MIj|Y<ALHTM63BuBv2@R#Hz{i>aq1
zX_MCdArP^Ka;7d=<c|W|cG;a;%Rrra%3n7LH5z4h(tbz?gxTC$v#Ju^m@T_oEhWfu
zYgQ%VS(a!iDJ2%8qo^kGmcY5&o$26Uw?1Gzg%4Eut0B&x+jWq8PbjGM=qt7{6x2ZQ
zr&`SN0RLeR(V%`g=J#kH4)W%^)TTnsUoSA>n5GYa@#Nzbgy<qZJUhd|Ul^)|1@u&Z
zh77b6sKs~%HM8EGIp!fX82Fx9;0BU7HTX+Ik;W;xk!_9z^MY%rhsg())c3qR8EBlE
ztiDpr$Tp``T`E_LQ;Et_r1(ok#pq!a-(DYxZ|a*``X-;(`2$=1cXmWO4EODAF7{yW
zz7HqF$8)$7NS_TKj;}Alt`|l^1qLzgR{vkX&3=TTZs!JSXLbHTtZi46RaLQHH|I+A
zl^E&O3E?r@3Tuo;<qNS^a3q0Iq<R`JMz&G4MR{x+x(H5Fm!GM~mnGHU1z8Pi-C?gO
zJFNWVPcP(`aQJ%yV|c$`ekSQkHBpNl<@~+wp~2|Q$VqMqkU}krY=7MB9~aCcwsYKj
zY8<`wL7_a8KK<ifLxp0~vUk(N2ZQE(DJ=N_=w?TFQuE=Ntqy5Y^F7UND4dVpQ1BtU
zXL+TaaUX_nBO#b5`G8{*CExRPeutb&zpx!sqW2-&%A_@j?|E-&KAf)jpj&zxldhbs
zYxH8a>(yf~bEOi24}d=t63Tadh{i-&p@HPPtMv|nCy(;#ad!f;%v6g&-hL*yO_3xl
zD|j*66DR78fjpOjr9izkk!7ly9hqv$yDi~0lcguiqsVr|vA}jjteUL;Vzwd9b4CBw
zeJ5RQ?`vIn`(X*P9=X!$!?vS(UO&3q4i}vge^&t_YtC`BAm=|(7y4UwYSw_P*^#DW
zfo+D^uFM()%=W^Gx`6)d*r;YlHd^+U@4XhX=jAMKCuRH7F=hK`P13OuAAne{KUvqw
z^ZL%VRhEO-^r-U!MNMBr(E>**YWe_}qULF<DBj*oS>0zTK$bdf6~mt;X_kUgS}{6}
zR_JdEtk6fZ$r$$VH(`!|V*HK%wK@7@dsTi~fASukbA(GZ_Tb`xsKSkn3rloqbI1O(
zp2&#0Xu15e@<Qr-MYju8HAaz5g`^x+QYHuLedBx~Z;cgV6CoMeB6Za|Ur4k?Fcp$=
zURlK4_oOOC&Bjo^GU;s;(pO$)B=nfBYJfcJX44$UmI{7I8pDOe9IF1HbhI29x5PLR
zVnG7#(Z4DkEQkK4X!?=^k(aHnohpYuzV$T=60oXUFZfQ59%+-EI)y-5$}2{9r3e0E
zoDlfyKehw^J?rK6>#-6j{EDM)RfXi)uCV{ChdEGh9NQ|k2a7%5iAN8VDY;15xaZ+s
zMUC_<mrYZC;Pdjz08Yz{94UA5$tf|Bnw8<a*zeDZ1GxWXKAC1|vXe|{AH^pNOF;5Y
z!tbWt7|fe8@Ye1bcBJae6UF5YZRQ=`f-<C_6jzLv(C`jz&y5%R1^Py&s^-D>MFQJ%
z!ejQ3Ux8Df^XXu7Ue*W8UHb6A=aC@<NX32rfgZ<>`tQEgvgzklgI9)6!T#J0<(4q~
zFJVyfTp&(bFYpia2sKi+?%g?xg+z-i>HW)CFuJ33uA22cAuJZ$#53tIYAh1FXL2@p
zpd%LE2$f!2iACb}#MT0bU}CY2%GSM3HVf9gW#(vw;5&5*ytPJBeqQsIP@f%*ZfW&w
zphTXdvb9fgrSrOOC*}k>N~O|yELN{pg~I09K*co{-7ciJwkcDIJzv+0KeKFFt3ozC
zUvD;jW@)WeA+7zSZJr!&kS_g;#R_l#TnO$~$8w?Rzx9BtWnqKsCGPfgvfmtXO3IsP
z8sr}6(8nFBM8p1gOso-nhdb82n-8%J$jq(hGO{W0K+L8@mR9NZxL7c8v*JR%ThKma
z*lWtxE?mn(E_~L1GCS57$P1*xVk{W5x$%Itwa~3uTf2d!3|lsMY&q5*CZBCR8#CvF
z9<EQGbg__ekHWNe+FBek?SsK%G0~=V1-G^^b6jTNY~5cAL$9@*czTY;(%!}B4pdAD
z-QzKt!tNM3$QroEgMG*@q#RKnxPZzWTrwT5P;h8apOCg;xIgb1KIC>s*HrVCBJZf<
zkU@yFwZZ*)&mu%h{P&53pir=u_QOLUv>+0`yCZ~Y0-f~!W(a{RE5zU35khyfGbvbv
zaC})=@a~QfxV?Ils&XL=wu}_IFD3+PdN<qWNIB+IaFUHzmF;uPq#C}TBdE*H{iND>
z2!ua;>wjrDgxO8>Ac=m|OT$Upq*Hbw5HYb2zcd_zMz+iDR5p<hyfmDoOxh$0fiQ`C
z)Jwx5Tx7QFZY7C&F*=8`o6ws<)jGVtu^8^@Q$T??gWSKjbD9(9t<QJutw+C`>tI4c
zAq7+CFMBK@$}0M0AanA!sqd>RQ6whtOZB5DnELzV_;|^5hT0JN@Ou=K5iD)wM#0ce
zcC7|?VxoYJK4~yS!Enh^{D<D7DBO%mT5U&x`O>Df3PCImL^0U8lT^!!0%8-W>UQw@
z=$2<07{y_{pq*8#QD1SQ(X_X@2Ujii)!MQ@7;p8}Ikb(ztboI4uxH%50q)}aVPO#)
zWsaU#D{9ugN1+YtEn=>8A%ZK^=0OTV??3r~OutL#zI{*ApcH(`&j)9Z80j_y-}CH1
z3BRoAgEaP$4lDVd=7M7U%bGr9Hx^3gIeZwt5V(Q|a>D4e-PBkwOCQ#NeLiq+g0J01
zRhG{u-<#mo5_xZe4@37Ovd(e)dywlbVpHrW<oJ-H(}Cj{Zu>Yu({IvhCkBPatkvqV
z=;@vn2O#w+jMzkq!(n6CN^+{lK^yzUjz$iJi)oKU?_I|9kQ>{i53Iys`C=TrqvXAN
zB?jNvw3Sbim~vKGG$HD8J>}Z5l|rQljp&OwI=9tYo@j(6Xsh1FnvmXQvu0gy5fP<B
z!mhJWHl*fMVmzd9#`C0FV^|W6g>a|xWE*b4iH?PgFo38dVfvDHz3Lk_4xUbqgN(e!
z(_+U1#o%J#L)kHq;=3bP+WCy=VXO-KU}F4ZbT+nZ;e#ahttG}jMwgRSwNOXm-gz8j
z65<}Cv$0=`9>#i555K)0P2sIh$CV%uOK%K0e_6jyF-6S!<*fwUG(w%8lU}`(L|D0S
zF?tiK$lerqDYJr{R<8@fvHhxsD_zz^9<Xb&_o#Kyntt&x+V~AMSYNtQ%q8s^9@GIR
z;SW_59v1So!5%DoDK1s;J&&vCU9lroM`nfZtsxJhneL?BchAE;phY^4UmENUp+Mxj
zde4Jr!~_;dO^;gL1m|r_ZlvfO4%FeH!$G_AMqv8oAbbh);iHp@s^PV8>$mx<a+V^S
z3R&u63rpFcuCW3&T0xr6UZ>3{2<1}(x;+d7>570Ljl|{Dk%&y!%v*tUSQ6!q$5Zu~
zNb-ALQed)|B-IL#udSY}FXTHi-a1>~4%x#01Em2Y&O?k8Zsv~$4~086^v6u<fLN#I
za93{qPxYMH^I-Z$%0oFL#lvNf8|m0{l6IpHS^r$(DDp{e#+3BlR+3<MggsFEcghHh
zk}G{ZB1vwo4q5k}6?oI9#bArhp$re=Z!squM0Y4f&&dYDH*&J_JOgbHl;}LqJTA>H
zsd=73G^tf|o@XBJCeJf?Moe^`XCCJByb~&4KQ*2m6r1pJc<J1bp@-g;bq7=UtcICN
zI7Z~>55PHN72x{CSe=WFs5|<>joG4O1E;a)$U>Tv&lUtEJL}HCF1R1eH(u47zFF%s
z;xiS{WpIV)8G|*mQG_gfI&p5}u#G3gXRploAme(yo-a~nGrvITMH8@&Du@Ppyw-y(
zxU^c|2he7m2R12<FqaK!c@zdy^&&%g;G!Pv@hcM--<~_p#;)sJ5H-kIT}b_^@zHMd
zM(5!~uTg>&o_B&(ietJQX4C}Af^y$`W9NhUYX&0KiJQ@p$OZDn%oB-`$i+7H44iND
z*wf9Y&(tHnn~sjo3f;ExS;jr5#`88YCpvRBJZLoBFOBN>(QA<HI1@cDo5$lK%u0*#
zYq*T31-96Yr<sSnW46Uw#4u#9MGS;*oMx>>47A<P(Q6U&cvou?gJ^m)dM#oeCOJ!1
z&Dr1?G0|%g^DrMJme%Vp*S3ij(fNtXh9X9bImyL!y*zqOa)Erlo|Tcf1h&UVXCy9&
z<oBtwri*JFE_&8<A;=iWnl)WiBP@E>bRqchaOgNBMy=+}z;>mH`Zg0D2kmE08{77<
zmDn8J28f$I*ILY;Hk;|%=-n9maqkRzAwTQ2Io#+HJ#K9fUu01)Z6;R;Y;e2JrI$9z
zs@4XOBFa)?9&Tfro{gR_?8iwYIhm7x+lWR`bgp4P&PR}YFBDI;3Lt@(0Zag~h*11c
zwY+gzcF0}lThO*EMc4AI=i{QsYK!P$k(nNi9+TG7-q?|RXrJvUH*`d=5p0<_ilM$g
zl@mEEY`eFkcTuh9rMPi4F>Y9prcb524oD=ko+eQPzT1#~?!y8!a-wr0>uEk_99@QU
zC>MtN)lOI5W<a!c95UoT=UR+I2iF)XI{S7IyyG$c8V2GX4vjk|rE3^MIKCNuC1+f^
zIx7rS?vIWe4u&*7k0*{#2iEj;^vcvhAmbE1lb$|K9Z(}HdhfwO;K%EsHFa}Kn-z2P
zD#2z#BehMwZG##cMd#c0<K8jaBHy+-+yNRrx7#4T(V3NR+u-)J8J%z20MfWj&9`k#
z)3ed}w*5F6ky-h+jc5c#=iBz<{8&7;1as%kMBlmHW<&;F?ljpP<wN80Vv8A+LK~9>
zUW)PQ^N!JnaW<K<m%+$&_JU4r@gG<xQz?b=jo0;@*_2Y)qc(c)m%>P6_f+DXN|8<P
zN9W=cgpA|WoSBv48gbF_n1V=SdNQ3B@Udt3X3wW*OcTED#x#L8hKnE51mv2HX~N{r
zzVTz4Ky^Q+2}RzRCNQ0iX@YEeKYmOTkdDSQ!8PLI$20*E#`MX{P|`dz*@6H6X&KX$
z4~^*-^BzUc9wQX0^D#mxvc?F7>1vEnWaEa>V}ycqGe#(`5f?p1D2OmdE{=!qS`<r@
zMZ2>b(YY+;>uQWp<m@p*p*kNUlp<@4P?)a92t_t-7(GTPNH=4I;u>+$V}ye6W8}oS
z$&=^dx+r)nXSg|QGm}KuZ#hOZPFkEq=CIw75`E%{1M`iQtdqzbi9K4PtGyhMG+t6q
zB6HZrDWj`_91IyVStpS>WFs(oHOj&8<K`GtHV0=08wDI>ZZm44=N8I`#!S{4o?_ab
z7i~2PBl%s6ERmA9<2rgJMWKA7x=jU&G8w0gUae9P?`k!*PD0_0#^||_f{<~&no}pC
zxJF#`Tu4FqF@0R^EUs5?C$t&V(YrPbAsW@{)UPVe)vp$$loJ_jW4q`%kU{Z!U-HFO
zrqaq#xkEg9%rIEKF@83u0?KgM;WK*QlfjYV=Y5GaPzKugK=jTEgF;64TF&TZfQ`K9
z{WAuIAK%u6Rc%Ih^c(u-dYXz3jqQuoyMgtEvkA9~5MbNyqQ?k9>A8xK-sJ0;%*ZB8
z?zoPAD~BNYMzy+iIQiTkVX$o*?UMvW8qp^cM>GL8115SGkYJF}ypl7T39OM8eZGQV
z@FN*r$Ju5qN6*yub%5Mxe!v|&@$cm@(6-M-pAuwn{3E)>T+MK~V>&txF<8D)oi$f8
z9JY<4=V}H=8ri9HH3Mx1Q1o2Qppem>HCHphMqYGWWKj4Kezc1`Jo*fuLx$$P7ANBz
zSa*a(d!2*h8y#6E;~ac@WJE`92SXYaS?ACkY~y#)l_v**_qo(ldk(0P6+Nps2xg=f
zqleH{d)2p0-f{g_-~`BGKHP(g_TIcd*;?!s!Hf3FKew;hgYSfGE~c~Lr9yu-wfgFa
zT6n^D=S$Q$5pb+BXa`LXcYiXBXbj$Yy12YN+?*#|>!G1RL!1eE6#-(sSADZ!8nfmu
z+fj>b?i~ugdw`zPpGd%$KHjrAIk?<HK=7?&M*y%P3!K_2wg-#7d4GGLE?2o6PHGS!
z`Z7>3Jw=c99A+fzi2A7S6UF6-Z(L0K2-b|z;0vhexn9kPbleSJ+-T7|w?qx*+BJJX
zhS={N&WrsvCP;KoO@|cR)3Of|-BYn4{<{w*2cJIs0~umJ4F8~P(n3M-@<!~06(Lfg
zj<i-|rG=2-kyb3ka3U>-%A0dr=m;L<#yU#As~^7Qy60S{{+~UO9fCFNqG&Td62+8!
z$RNjNyNm7Zy`n!H_cwPJ<0rJ7^ocZ>$d+ayY)H(~lY{BFKN;5rC)G{qQX*Z};X*?0
zfzQRxhw3z9o`k?X%5}(ZSP=P{!D2q?@57`vJeW>4i`lF{pX}`H>5FUA%@N!oDSJjD
zMbeJV7CSq|Y~DYBdpP^E;kz?6#d?d&hQu7%DaOSV4ufkoc^wrw!5}6i;vJJq#dL3=
zgM515M5cZf2O>T_*xKrkp)ZOpod$!i4yJJPbDkX{Qy+m72|KhggzLPv`m-mBC-cNa
zW*rs}E8vO6ROdeF-I69i@gM>BoL_9rr;v}veQ_EFd3oEI9*D3Yh)g<c7Q}yYdkEiJ
zQ(v3tPqx*Y!5c;S5yo^&1ULW7;K30hN$1dC%;wYKcxR?R3AX`}B-3ewH62DAp++*-
zkjy<ea#V_hY$8)*@VW{{Bj!Z{k0XJQo#zht$aIR*`Q*U*H`7d6augksa|+4bAAp;|
z^qCigA}a$dBNBBH{mGUR-G6d8-z^7dy*^1Fn!#gNjAwD|NbHjOLgRk14=d>w(|cqF
z=5Qe)N6HdKe-1B64>QAf<m8T+kcdZNZ*F@s-G|J0*q^;?F_^-<215?24U=hqcd|cG
ziNSEL3n1w|7`&yr?7>(ONcvqmna^|mH^r^`H3KHyFQz-0DPbh3W<aFJ^*_~1hQ11(
zdCiWDL6i>3c^KYfg70Sa_sWxZeN~pJuS)NO*C?kS=VnI1owm|r;v|%^i_zOq9rxC<
zf-2T==Wqha`NH$nE4TQIx!g1MLin&cAh9&rTkMa+^-~56awaL{Fn`@MY^djs&*6m?
zv3}?WLUlwbY4St#6g?7jBKYYmKcXomN++NF&vT!=QuqCNKNjYPv^Q>~HHRNTZQCdT
z$Wq4wpH}lj8ark7oMK0M)>Q=Us}AkM0(Cga^(ttqIv%1ffRN6*`kU5sgdmkCg2gaD
zxUpNNe^tdXI~2r!=_R1ec`;d9EBH}-`<VB^cjR>!=XUO34*BWEVqQS+N=2H0yjlY4
z)^#|NxearWuki23z25z>cBZ^q2$Hu7|2iCZC@$0aN*PGnDYcZJ%!cwow}9QO@tSF}
zS^?5^Y#+YBl<Q`erp)lB*pZ$S`^DC<6GfSQSMnoG7t4R^4>o4~t>V&9zf0bM&7?y@
zeoyFeYLMPzkTPXw8y)m1up>PWj1S5Q3u@15;!-)ZunzDyodl1}nak0G#GX>cMJRqg
zivzV*fOMUh&9}h$axG_dYv#Zx`H?30&ejwL>t+|umKoG)1xVMieONJPx|lt6N{5~O
zUfKh8N6z4>XH(ALDJ*BU*nbw~06UU%et+;(f4BZHT7RRPu9Hewp{{eaI8tFN^D{=O
zs|87Y6v>3T+kAHdn>vGi&j&pHwn6Jqy$XStqIVbSbrXES%@5I&MIrGQ&EL)79m7qv
zTiS)kN-xPpt8UaFxeqR8@Ie<S<ah5IQdK6Pm=}aZpH+KYP;G(BaXPba=5*{RK{8Ln
z9#j9_#dMNAAKL+4I!PQbXQKg0TT}l$E_NUtywuI8l3wbIkk{xy63?4~R7QYKte6>F
zi54XFG}OSyaDKBJOJ;U-qX9`<f$g5nT^K8Hl|~m~NZPmybhD)b$vdv1dKbDf*Kmp+
z30j#A_7C9Pk2=KBg|19{St^jc`(P*x)cT_fZJB9nEddETp?0J?8KKe+W5B~SKa#XE
z-<=k)<uDs;Kbu`?sVL<Yqj#dMg?9wD78YaJonLIu7iycW-ao1Gm#bIa?%!kZK5SPQ
zAF|)@sP0EtuZ!Ac)ey2<Vd?8*fij-7qvw09C+k7I?5{OuGN63%d`6=^>gk5YJA)e<
zxy>jiPUwM)9k-!Wj5^}+z-B}1Hgw$&WP4&)4=#9Re{-@02XVv@o7)nrj`3K>{ehLE
zetBnbJ0rI}*UY<^4Uj<<@UCU2+~0Ah)G=Cz*<v(6QUA`AsITX~8t%#+2_YXnX~+AM
z7pyxo!rRNpM{H0CF4B&r_>A6aUawZ*$XQpto6T{6D0oY+!Noz*SiO=G<!n2lHk&QN
zmikBxTT7cuA{0tngpn3xW(sxXk$1B^4%*%{msam_NOchix#C({+`RUdw4-7%x?4w+
z(N-B$MjyTDy6djIjEyN}55T*HFXiG!{aYOy2BUY_c(3u{^>(I%gI$1qwFkETqYC{Z
z3W3#w&Y7A@P*0!Pxq9VQKJ@Z$?67vXet%(qIGe!?-Y=i^oO?oK5X$tyfXY3m)j^M0
zDW%6CBZs+TTD)s9oEGV<Z$uLh(gYf8(2}qi-Hr_T3cjDf0F@D6&Kj}#y=}n5>Lk{5
zFy4amS>+jNIGd$kD46IsDuwfW(;5tnh!1KvzfteONyv4(Zn533QtkK$)GFudnDo`!
z-SOK3&95t$yU#{^C2Oea&Wy<vFe_7HOzRIS)VCn}-xPrDZNSn0zJ+q7$90JL1M+~~
zLr3%$y|SeDP@#+lU4+ko%73b^jDlLd=0eVXxco)nSfLC|+(iD<N`s<867Igg{4&a9
zDy1(nCeY)z8RS3hH8hC*SoH+m5srZ}2>>o!#XQTu1Fyy{*_@7nGg9zj!I)>wtF6W8
zRrWyRXCinfXa?IM!c0{Ewi;ru*Lb6Q%KtoA{^ybMKYzFU&xP_ouP*=dhVnl*mH#<e
z{^wNrpWDj+94r5Gzy8l+apki{v#Wpq>J6i>f!Xu#U%m3Ya#X5++kMsP>lRl&2kMr)
z_Fuek7d9RsBI{!m<+JMm_RQ!!{Cs-!R{isY{+CDf|30Jt_aXgrQ~zAmKYRM;m+GH)
z>Ysi6^A-B%OZ3kh^v}ck=j-&(oAuAv>Ys1aKbQ5-m+GG{(?5^spD%}>PmgZZ|NHIw
z=L7oZS^e|4{`pG%b4~wzT>rdL|6I{O@6|uA*FPWAKac9459^;B`sZu(&o}Fzr}fXf
z^v@;z^A7#<oc{SH{ZrkI@QglL`;0DvJ);*z&*)_48J){Kqcf0aMk-TyMo)9kjMSv?
z%t!_DXGSXUKBIl@nUV64XS9PnJyQPh%t*P%Gb804&y19FJUvpr@$^W!#xo=38BdRt
zV>~@le(}smxy92X<rPnllv6yt(EYyq%f=~gxbgyfcD{P$#j}Im;rOW@Opt@&c-A|(
z4BM07(_gT*F@o)=W8?Ys^3|^Zr&66h`Vp0vJ-76$tIy1@ei;DRc<SZ|*nTUvu8xk~
zbKP~-Q$Mbr`n>JMSZ{At&wVL+PW>N!Ro{d$RX?j7Z1hv`?C3aPm29sOpXv=RO(%Wz
z>-u@+nxmh?&%Zh1`QDNH&#f)HK)<LO@wvKmShWDZy03ui78orJmN}z|<o$|5eSWhs
zRw3gk8bVf!kEYCn&_AZoKMxW>eZI5;$8j+P4ilr^?LfF6SGdnD3nmpRo_|89>h}oo
zH#nuZq922)Up8wh`jroAKlm+<0KW_nMWEgk8O)LP-{GL~l`tV_l}m2ut*s_IMHIi+
z*5JeO_5>mRfkJHQc;FkRmXFZ?h%*V!(n2QLE5<u8TiJd12@W;Qomt=bB!`=(wtN`_
zsr@sBiU&#BxGs-4z%GftaKbjkr#Qi$(5Mr3W$;>{ny*KH0Vq~z^@PUe`QA}T{g+*!
zzfy8yLnFnap;62G8-+?d)DveIWZUgE=yPsv4@wOAISSMbv!2+(2-Twj#}=*kc^tII
zjTmTllxpzLZx7DSJsSLl9JnVcGRi$sQB!=OqQE1}6Ac&wcXHFHUrbRwv4BCvu|Q*f
zNn1=D4K?PMat402a-^o>qrIxis(PEVODH{3+4|_^0Aj^}8^e$Hmd@Y5Y()SKbG_1n
zA^^U$gcVXF(ebY_U!yR|_{aO{e%vO2!W$Iu)>)HSYWUZ4=1Wpt><#zf;+<(7R5k1y
z+rqwUF_{;ey8{gSW)9X93+v8qY`m*;Yb5n14ijJ65wLH0xMVz?Jc(_4D~Id}h(s+L
zv$TER#zEtoSp1^ZZ;=`9<Pbf%JrS$<aO~Dn-@yT=Sb+_$8v0%i+LJC5&7RPz363ZN
z99mP1Y|pzIZ&~4y!R(2vM6nyIHS7s0Gi6ZVsHzd~<1C9yz<&Rl9H=w0cs#7Itxr*k
z=M=4UowofIN*W*iZMRnyn$ZP#+=~33>`^`1TegOce*OVPk3#;<es&E}#(KSqE*cwY
zyoXsEz1ELe?Fdx4v8p+Z9>?wSxR`>juI1DJlPtY7-azScix-~oV4*gE>b5I2nCrNs
zfwwqdPikiYZ%)QgUYx5p?BLcYwFrYP1O&drfydcmF&@H+k)i@ds3Q(F&K9E?*Z{Pu
zR%}nzIYqnE_BmkB_^@oD55;Npt!;#Pz+r0tlSfG94h<#(oV5XjbLp2R!)8*~9&m{R
z^en^dR+mRAk-p0uTwqYz4b~wS+weUcq$f$T6{^FEaQ7K}`EK5Ky5_wctY`XiVfF4b
zl&;k#in{#>20#-`v}NDN5#V=-G-jO}TLfDLq+f9N2Uk?n*zf1CJ?jpNy;<y)FBPNi
zdz!=bqze|Vn$5TBbQFq^JH=B7`U4zv-0;%(+Kk~Mo4v^<!u%kI85h3v)fv!z&~4?-
z86-A-hy#xk40(dy>*+71dr0urd`y5+v1{WpTnmFRKf+;pMzCt=0c^skJ3=<#N=CDI
zP&*}~uK_q~PR1vZki$|SwXX;UEe87>^4D=fJ*#mB|2Sx0n;zAwPr{Bmd~vL{g%<w}
ziUK7Bp2=IEwm{3#mnZ{#3pRi!S{s1g33YN~*~(8e)VC2ip0UKC(PgQ|{SJjoGTB3_
zclddQ#a6MlT$Pq@g4LGP6yK#NaPsY0ma+J5wybf#hvMQlP?3wVxSPAh<`XLKfEd$s
zzXtz43hv1_Sa3y;4DkaB(=DudVvLBYu5z-<_FC`{ap0-;P~(K`y=eF!=HT)9xUjiB
z%QQ{$W9^M@FV!^We^i*n!BY)WMx*MSKkC$<;tb=NKiN*jD>tqCXS=|~>nx4?3)IG*
zl$TZOtO+&jFSBO$EW^qi*BT;fLw)oyfU%|w&)m~I-@EVp+Ul|k^l_yJg>O$QDHe^E
zTHbH4t@I3G2DvHY+4~?G{kIgl8y`Hb#DKdSLK^pXI9yMD%HZm;4YQ<r-&eolRF45o
z@OvCVnpM~VrosP!15dMxJAG)}KT^1OTJof1f=!SaKEWyVOw$6U6Wz7gPjb*{7G`6+
z2LCe-+>=c)x;>FyQ+%qevF*675&v8vlDO`fqZ!pW>}uG*<ZO|Kii563{cGBM&$5$I
z>V#YkdfhFY1zxX)DxbPF%U3H{ssl`;&jBPW>U!#fHbif|Tn^i@SHnF|2}7~hGu=vv
zGy-ev&u1I$aaIwZ9S@r0g^I(C!%J~?wT%MDhtwSdu;uOS*l3n7<XCbV!iG*w@x>g4
zXUj>nl^Z}c`j;ql96&vJy@;*sT8B}M`=y*}&vfNQc7mxUco|24KO3b)HOHSs0#DS_
zM6c||LU!!axUW{YB=&g<LShSW1k~WK<E)c|jpLxkzJVIVGl_|+ooJ|`-^AJk-_VMB
z6{-vMd%OF?r{J()?S$$y=jbMYvqGY0ToRn#`2$smJHJ~L^JVa(6@`w#Z&g}Rfb=BF
zx;khN5_QgWbUW7PNtB!C^-E4lP_0D+-9@x`5@m`-!?Z@dTcHvU^;Ccu<gz9VpK69X
zQ1*u7ro^rZ4k-dRMtgjT!Dr*920zMyds0pYd_H-i7{fIM$kxXcE{>RKsBRqAYEM#B
zPr|}z#RFAio~D?d<e0%E4!g?P)RP<wm`*&`V$X8WX}-WF0~-7S2kr?6jBd{~p(!3{
zYixUh(1;H!L^Ax+yaG=R8ul^H7M?_wv4s=5HS9ZCwSPyskV#|@pk%+ZV{HtogZ85>
zc+?8h&UvBc8U1#Xdfrs|^y53aLC#U`*9pY>G&pQjZoqAu^UL+X);J>$2j3I7g~h<_
z?0axw1eLVULA@ABs;-%6CM@-`!RTGs5^rFiC|_MtzpC%5sGFf)RTwQW2F~VcR*KOa
zqdZgIAC54eQtd%=9bOE?!}fNIy#s{(_Y^jcr}$md1aSSQa5((n!16I|m4BdE+^J?I
z(!Q>3;FUr3Dos(^pXK{9jt}R*sqJc9MK|alas>EI;sgRnc3_mMPd-hW61t}OM;r}K
z0TO87Esdht0n_;Zn8VNR|AWbF&bQ;sIUZd4PH2aEr34b&!9MPjf1*gRE92XV5-8Lc
zkMy6T!SWT9p;aR^18&4uQVP72l+XxpEA{0M)P%31`1l+53HZ7nB-j0ClqkD56cKga
ze@+?jC4#9<5#9G2DHC4nCNP!zWe39p*qt{CxgL$*LTR!aq<7TyM=17&8`A;2vQ?d~
z(M;b)nX(&Xn6`$qClJkdP?|HjL0{A859n-8_75iGVhmpavfK1slq@?S&j#?7VRbgi
zZPE8olIXek!W7=8Q{M(#hUDQ4GtYmY0!Q;aPLe%d#$orihj{G&02LqI>ns63E`Ny9
zoQ>^umL}NsKTH|hHH;7cKSpUzw`!Ot7W_xb6&*fVBa+PTrziuy^gPww^xw1T*v~2|
zH~qua;4Cs60DggEY1cuX*!IiRe5<XT!EkXA`@g4j(WwXP4|G2LA2|E9a|t;k{2w{8
z=y=Vxh)Z|=Cu+9nDODojQ{3O?8g#CeM}*fozsr%fYoIvw{XR7%zHByi2&>scKZA$y
zA6^R{X1Vakl&9SQ*6FaAL;eY+i(UY;o~Y@h?E6nC+w~q_M8QB^wlMk>09aKaTxG;P
ztsm|kfv*?Cr%BHhJ8%S7fBk5@0tX%H6itKvxl)A^9AEO}#qI4+o7a~$_FvK#`zB03
zI2@RTR+vhcX83E$fZvYe%yJZ7k6p3X-5Tn;TU|r=GQCo3gH&IcG}Cu)yA!U)|7?X%
zikIO|G#t7uEcSC1wmX@p$@i3RwEX9D6u5ZqwRKPbwh1d5^939x-a7DOsvE@_+!t}U
zxS;FDRi*9n5{YUxqvd{)g2lxQynz@7)iDpwuA7ta8u`T(ImHY*?4aU{MtuoIO)&yV
zxHafYDQGxg7$0sX7}k$pLBa70ZGH>e`Lq`MDvFmf;HHI=`(!cP*)<DW4g6XPjE|T2
zg*s`GhI|8sOz|$0s@e-=jeH|T_SL}M(8gsS8uu*}7w^SLMrh_v8ij9Gm}okRlZqkj
zWww@j8<pxS*%}i#xcr#7y(4r!?A%4seaj3{yFwS@&)t+FZk#ygAp`Ib1rBEbDq1+e
z+LPFjaa1w5Qy<<XjdMe8f;z^5XBpo!JWo;^`L;#G{uL&}(_9<yX{ks9aZziPiubK`
zMDf*?lb-zPtYRYhQ<gW$as5JP%?agG4{+TQm$EryLyXT4)5iGrk;K07&)JVrmMr%b
zl9+c=c)SDMIIp^n0k)pug~s_d-kMOC)Qz?PD7<>2AiX8PJp-^8j<48@1`WES)S>B0
zSg(e0{YwbVHd1V42ngk%2u87EHQPS5yx=}DR7~|=vm8(sp@b2^!be%nGow60JvxGi
z4IrB45~UH+;|LmSvp|Dirr<)vhyZt@xh8l|mjv*R?qImrtoSs+dnti1okp~PBx9Q5
zeO*$Jj7(F!pHk%eET5KXo~J2~khMlw%g)U-`Ufa_{)k``G)?nCMdK!D!v1+gGc*x)
zst<7t!d6BE1I?p!JFappZKAy=L(qgD;Ry4aMdw$|^3{q37d3<>w=&%T&i%tA3x|F7
z`kUi1o@Ui8u%oX7JZqZu%or?IZ)2fOkQMtITd>osuOhWJ$~D6`XuCM4+k`w&)ZE*I
z!_4!dzq2=iZDsXmbyZYzd^5-486A9EmTHTgQ3hKYk5K}liT;HmLJ7p9d`(zx3D4qB
zCp7oJRNN$;c(5aWF}cv(->JB<+nw)<m`OD>=XX=iiyd+DiHBzWUdno*BUUyI(WKu`
zNj+&|iuc;36;1Vnl*$tolc<~&Mbmxs+R-@)i>CWgN{7GYik2Tqtt07+Cj9YhM@W(x
zP56_Pu&YtQr#71PXDF+1EFd}X*@=$k`gzLL)d*zM9!>g7iquVegx$sDCgLPW^ZhEv
zC!Fy~=A$W*=KM8|v%C4rlOSpOU+3t%YBEiiH0N(BPCRc3n_znXXt+Jx)c5woTXzQ&
zxD2fPI7+pvq%O=K{Wc(436rFMZvdZ{VbOZ^MPu;a?S=Z-0TfE%vazSsX}Oi9l{&G}
zY`?2*<|I!UoDiBfhnfri#{h0h+MdC;k>MMriv!h8#QFOir?g=5wUhfDV){dl=?%hc
ztFIf?7rWpzR(-%=^a<Q6!X|`uIZTPsThgejaCI8W^)%)ul{%E`N!hV0&4q>JPWh*^
zGo?xXOp#y*l@?n;7H9s|_@AQqQeGUy=d&hF^XHUCIEfVOgC18P)g*sONu+f|uq|XZ
z*9?E%Ap@DdHN$nck^au^4}QMZG@ngrq`FqnRQ3d|!JkXPvquIyBWsrDD;9S~7E0A&
zr@~XPCU^lyAeFa*R-$vRCV3G@BIOl967RN)=KCVWM;3`K2tBj9CVVm1Kw(cQ+)d&t
zRCB#Vap7Q@-Cs0e&=fDF6!@)Z?MQGSq^G8-@-&NeJVbp*XY@+Iuu=qJ;GySxb9J&^
z-8EOg4PNoo^Q8uUwYIgB4G4RK82+O5f#_v=c3z{uPNB!lcTvzi5@9vT4b;BEN;i&$
zKmV<%-bAT{@_QVW9S1c*j}i!uA4kB(Ld|rGVsc}l;Q9$%O<h)#yp<zq)j52^pvmr_
zwiAL>WP8*`BKNY6W_vqj6UqV!Y{Hu~n(!V<D5NTJgnF|V#e&0JZ?$qi_N2LP%@W5Y
zl(ysA<D{yZ<v6vO@LpXs2RUc1iB56N5f)W(RNiCen)3|D*{XS5nyjhTs2znAGp=#X
zoQ%W8IZ7jBf$=od%`Z}x){Vg@*|p6cq%^I<k<Ko-gY25^5y~dK)E93$7*V{pKTgSn
zgNm5!e3OeT3kkzOA)|yLDkiYNLb|X;#YYVqp2L$Y>`)?Mtr1}*bVq>h@ezd=Dk?GX
za-y)Wc-%xGD(m4brkU`#Kj0`@bc!cQm{F?<Rp%(Hc~gW-luOtbiRSVp2$w0HQ1^+U
zqjB>+Trah7IXO9aFUJ&>?C>tfr3UY#){2@1L<T-ozMpH#n(6@fdv!U_v^;f6mVZ5-
zD4Z5N%`vuUnwS)PfLc%}(8c(hkP>{5lC+o+6bW_g4^fVm4PnxOtCXZg;PEE|AE8`P
zi!R>fG?$bLd^M#K4v%0bSQZk1uT^*`0f>rW7F<1^%GY<yhXC}X`Sl8()Uu*N3!?DG
z{coZ+iJJI%2K!|W-G*<a@KNqc;C++Hw^NeWZOKuq3VzlNL+ZoNqwfS1t8674T~oMy
zgAjUYQ6qo1(ue%S*NI_p`^`m7@V(Rkz91UG;J&`7X}+J*2s=%#mDD>Ds!P}1JBl>!
z4-)%Cswc3$s%h{kjQQn*=H5Te@=?W-G@L9uQ6{p#p-Fy}n#foG^fK55Hx2&d6g=Bd
z{N{<K`AJIStF?LCpyM%m*H2UY45jdePA^6E%ep$G@qeD;XIqL-&^663Q5s(f%G(S>
z<6PdLnSPZr`QoUTiA$0+$*)lo;ngI0eA899hW>R0jY43up$xKbl>eq8BBMOne<>OA
zum40XmE0W`1s_ZPGbL$bG|!0tpD9!FaI~630@wdS@!Pb-3>7=y(0=y6QYK$%i5(|a
zOAHe?DE~J~=38Qh$i#8^zf&GxsWHe?zggK7Hni#f56a@(TjN-`il4^*zZ5na{=OVP
z1nnFDf1#Mj`1dWtV%bmt_$z9x)Go1&rLRUsukdTL{S9SlWj9X<c+OkFZg_9mS2qh9
zjl_V@p#-hkVumIO0?(sVzG`-`EryDV0-sOWeC5C(n-~UONQqLD8su|AZuW(gCNhOx
z9>VFm`8pi^TW6Nw+M~Z%fuleWxfJ5DQKeZEd<j(_IWr3kRezz;|D}{9vL^%*J^^?c
zrSX+vEYI@L(0A&!-Co%>ml-r<e7>4;`D)GKb{Q^ifWD5>wKHQSh+Aadpt#8N6PfG?
zy(R{PH_?Vg<{uIhpBeNh5B@wsby%l56lC?6df7*e1-B?z6bmBr4HuP0fwxk{zN(f-
zah+?R@qY(}kDM%tbbjQ&of1T*7c7A==I`l_#f(5Q+7DBf$oY}9#jtSWe2Eg}8qG7p
zk1G~3!Xpz*(jswepQ4S4oGB>>KdR4AhRB+yVmLNdAN1Z52ltvnM}s?|FBouk9G;_1
zhzx*26NEhcBISu(Rr+{@QTZSxi!5JAWF!}Vgi^F@j~SU{{69{~e0z#cEaqInka1yP
zK>1oW&Jzu`6d8#IkqaBCzr>)hLz|WmN;y*sYk(0YimddjHm%#s3^Z}>D_j&6B9|5f
zmd^PHRCDC2kAm0lD8Va9tH;hcpS#id@{F=Y=CG6v-hbNM?a$yo@?yLRAEhY9JM&#!
zoVi5lA}e&1u5xG8F_$TR%5-CQxDZ3%Lm491Otb}_I>viDq%m=Z1hw~3n#d%dw#LwK
z;q3jCDcf$IK=!nvA%QG%=}g-shOiIN<|NE+D6;5J0pZgNdT4%-Qbb0X@=Sqlja0z+
zkOD^$EOMOi*ffk?rRpPBs{(^(uzZAaJ)*XDz)!g2K9&2x#(7WRvf}2#dgX!(pkGb7
zBfU-F=EB<7Qj*BQBaraRwXdf%?fT4w1QL0^iE>3wJVKKU7Z-lMmD06qnkNQ*yW%1-
zC^D`JtrG*$zoHF`Tsufi{4(obQ=Z6Wmc?VwuV~)>HwqnvqsV9~fYW&NZ>fIaIs$i7
zSfYqXcm5qEeKa{R*+y&LI){vI)|~9_55|MN%d;WQwf;RNk6gP-E#^Ygk5HC$|3gjW
zW7B`2Jdw*GsWqMn<tI8PGtr4e!k?yOkqb+yWrmCkg+E96T3XT*3x83OkyseHu$0;-
z2E$*WO^aMuid1|w{1_z?uI_cC349iycuM7e>+Bh_k1Jpl2qU8`#icRuH>m2!o@dYx
zro+h;zFi5Y2=&L+;06p7(tnGRMNWYX+3a9%2=^%SOus{!BFoqe6Bpxtj}k;qPYeMc
z-u{46M21m;La569QI|X>&XAz?3Ca^W=$ZBy9xk4Jl2YZH&J)W1O!1IV7CEIdtrDZy
zr)YyB>+&26AHe>cazySdm64J%p~3%`3Lb^A$gwY>ON->crtOHdmB>WO%-6jQ8iUW2
zB(1)vt=L_F&!#j<lNUq7$C~F-qR0xPXfsbP_5AMHOgtcQ=LM9__lkHm+)XKfF`{AP
zqR)#cVOwK*V$c^UHWGu9R<cYB#YpsG+PKJx&$*Ea6}(WSc!{Dwks>m9`xt2I^HSQ9
z$oa_2!(|Jvpj44rmY0ej%detjzE|Kae-Dxg8N_R^4Wk)lWK6$-GDa@ly=^p%+_=7x
zl6GNO&)9y8VkBcbaw+I-sW`rGrj3jYUVc74=eUisy@s!bR0nbJy?tlZ+f8=>hV^!n
z@CrP7zPEi#eGj0z+gRPtH=8#X4{Ox7D`lVO+{hz*3kqWwmj-(ab*1rOb8`U~H8)=u
z*0}d@xWd{5<EqgPA5_>IT!x#UhvTi{sq$KsG2C%i$4^ahn4=I5AYqE#;TC+_7dR$6
zJ3#W}U^<3*u&E(w^d$~mNaZj(IQkq;Q5IWZ`|=ZV{U?g)U<Uhx)8Sxm_-^(6U(}N0
z99J*GL3+oJ!ln1;)lG;9@RR~XQ%jUx3|en-0Q7LZ;v9Y==ral$r-V`NVqwE&f{VT8
z%0_MNHHsSL;1;T$CE!NN;SSP!jv@=M#Nb}Ekju*tsVOc}Xdwd^q2U7G;U!f{09RS;
z4W`3)n-30Z!#t=s-1`uOoqU-^eaU_@!w&ukRiA2dbwk#E0at%+B9lMf4RYy%2zfw}
zQyp7rz66FQgK&#t=h&mXBNM6Kp~!Dd8{FkB^$2uCL8HQ}<=5ra_xjE$b(O0#aP}#I
z@U=D3@6<)DNb~{46gGBcO!)Hq0wU9v{d%Y#Dl-M{4wY2*P#>08@cRSv9ea&_iAql$
z>^1geF$a$RY<FN@aMc`_DTlBm2%4wn819S*^Mx}#yod6n+i5YbKJSLZ%6lnxs<YFs
zeV+nt+qD|De=yk_I=RaGIdtKCv}pLP%aEWrf$(V#Sg2}?z}rLE;(~dBnTtO_ZJj!|
zNu&RR6k0g0Bnnp(av5Tn=<*?opX!1Ne>henX@HZ7s}wsmG#YFb2wZ}XPy*o$iPt!#
zcpU~@hOed!sew{8p^5^IeZH20=g6<XIRkw?We}<-UIW!ZOa)5ULf=FwQhi@p$hp#5
zhv9Ff(5c2BjyEQY@m7BfN33yt{B{NIhO*QMsXYhHtpAFGP0e3Qha^+qzvi%0jcqwQ
z68>*E@I2wOg90a_|CYl}b#+}VnLIgevPRsW|4wnVTMwz!-0_ls&nZte`F=6o;iior
zp^{T)yE5y?miP~x=G2sttnz<?LrwJ$h1!P?1~~cFPjlG928S4^#_;_EefhCkQ3y`*
za~zRyST2%?3tYd*(WK@Z5Ok&3^(!2H>gvA?>L><$jKfX!c56C9;2-C}Q*#Y_CPL`H
z(FM9yV8BD_w-h=KE~(*5S3u?P^*fXy)$r;K1kM|Ok3y#wE_BUhdw~~`f54eMH6qLw
z8*nw-V$X@Yf5c&@Ccf1-NoINxX<bsKlZ#Jq48jQ-F%&fM2KnMAIq1~9tAQ3m*`IMF
zsp+*L;T-2v97XC3RaTGiaQbr&I5j@j#UrKy@s}KaYTwrQv#TF|&UMeZPW`{?^F7*s
z{+i=RH4bO>>uzTfQ{iNU=$QJFH(|E@Y(;>B*_)!uV7Jf$_j45%DsacSU<uU=mR+CE
z86z%BuPL~i>kFs};=0ZPWeTn@>HwChwtf+XjdNy8ZSBn{P`#J}C!3*kVFddU3VTa}
zgE2+cmr}&Ia8X&nUtxU(MZY;kFDb9SiUP*Xi<R8EKuHU5uT{wIsx`?OYHYH)d;=Ao
zG?r^%F-5zP62zt6j#X*`wxs$NN|I<Ep`Lm(1x|8m+LyN}#8!PNR#I>0pyQT+m9e=p
z>RlXaT$Wm)dTOY5Q~SncsWtR;vfpP4oQEiGToI|lRmCZ>dU}+CCwZGGZ#t#HV-z?k
z;2B`9EO?Tl$0Zn+O{_YSTM|4?;giCj5?>8+$1JN9Iazpx%-Q8Eg^ycvSazwS6IUy}
zK=G4&Tp5N-86TjyNd}jzqz@}(H%2AJJz64tjKfUIJB0e^J2~Ja16xjwGMY^eIYTn3
zjBazlNiH2Iiw+e5PWEq2$!(aL=pLsz$;?tgbV9`@O<G(vbjqnsO7BQ1biqL;d4sSr
zdx`^&+ug1rP)rf@?{O?~<t&zki%9=~<48&sAdX7q&oAS^lf1eN(rAePLk={_tF4Iz
zA^#%|IVnxB=M)6}k2&Zh(N@V5A%D3-#&IJ_vW1IlKmUXRCv_bFyNA}kf<h*R&_HSS
zD=B=EiKV*iS5e%g$_87M{bvf)ov@Q)lTeZU=NxcSChaZ9ej^7Tx1~`9rKXmN{P<fq
z+@z$g!4(Rz-^MW{CF_QP3#H$|;U|qn@eJvADQG;%ljd8lw);Jt+@#1~m#Ub;?)P!v
zNnTQe<Dm2d9Bz^+xSsnV4mEDatMX}I8TW@3I_|urajq5<%zF99DD12Fgb|L)!kKXN
zVV&dZfc#GYf^|Ut&B3R8`h}nsIHJ*PFlnHlR#H%LS@0uEiG{^~EL|i29Brf!dIjj}
zJ>WXjXwYAzph9O0pyqWD`vnw@{VNn(Sm6oS+zS{Q`C}AWa3cYke4base!MNLcF#Sy
z0U6o&Hz;hHjTJ0?tw>A$Es8CybOlS;uWf3?-=T<U9<29wVEgjmz}mjl(7&gk-FaS!
zSb|&)j?McA9IBA)2&nY)<y!9_amd1+sDSMKX1ON$gd!pDFQu}0K2)w*KFKvjNH~S2
zsFYCd+doqTII^ep0lkY*3;z_weJLND7xUp>;~B41LH#e_Su3auU;EO}_0)Sj{r%x=
z22QKy2iV=O2eHQbD{VmMU8fs8N+6QIYXMiHb6|hNfqe-AgBOAHC0tF5)>Ml=>kiZ+
zJWVx^^fuswOE6FFE%wLiYgHKNaRu~T41|-*<`EvKr#^>NzR9*;f!C(e*v|)SJO$zx
zveV(={+>PbNhi(o0>wi{4&I*0;My8)Z=?3SNbz9T#^<~;NbruSZq64`8hn61gQj`}
zHRr{O$Bn|R8w5AzO{UFJYTclh&<5eV$}$>cryHA??xmCtzd)QqH{2h>%T>h%_>9;(
z=i{$XWGKyhkRQGgLx|z(%?A4ia3XL9XZKO(y-M*CpTF2CH#^u~%MzdMl$eaXH_$G9
zq*F$ZJKadRFLcVyjm@_xQg>{g@06Aqs5jH5cFV~`yW1#dx6Wi&z;!sfT`^wcp##PI
zf$A+ZX76H&&vn|X^WnZZji{S@H_O^>l$!5Oi@{cZHrU2d>JZC~7bYeeZ^CQBJ8&r$
z97%DKmfDOrs+463K&@;JZ!yH6^_C1#nZ6+W<4QCN=~CJv3#Jr3`&C2Tj#I30B<D}!
z+8K_A{UN-BsBRcTjXR@A-M}KbU=rs-y<zr5G1wTwU1OMZjU(;EsP;^uje1T|;T#QL
zRFdZ)ki^?*ji$OtsX8$vKNo4r2Pq}Kye6}C)nmw09^pDo%G;7WrT$|RsC45V=Lqi?
zqGOFgV+Awx@E^k&sb(>yi3c1pzV;~7u8Z;TU5lbW9n6OlWZbQ5O}Pngjx}kqZsiU~
zDJ90(V)puxG4D_vQir?iQ42@cjLuC<b?f#O9huZSi7|Epp}7uNE_~BWro%AlzNVb9
zl%4dRo2qEOODrG0xg@iRC_~X?mszq-?8zi1n({p?WhXNQ&T%!{dleg=lyD8oG9@b3
zKpM1vFx)GqO~6`F8PI<Xcvc34H!{OmRo$jUt_Q6K{%@2}l=_I-m7o)0JF}*yc!t_S
zs?@+hw+dIr7MP=IFKWjXMdD^T_>@SZnR<4np&Rnw(uRn0aa2P}$EoXds6GF*Yc4*=
z(Czv#<r32xsa<7Oy*{NCjit(=QS<&gMTy+*A!*vrXXKpmYiL^^z6Q*ki+-J=c3rf%
z2IRA1ue?Y~VWZ-y?(T2kbUbhkbdUk`&D8jM&0LR6b<1a2u~ubYJ`#i-t><y|fAQ&2
z;2GHek}41<A-@gI!zEkr!BuTBc94CiqC$gATxzB>af9o-Y1_m(J%f?>)Av%o%rL^)
z(&tCtPnk1ACd<r)j~`T&Zusc3xgMweC~dBo8TvbR8A8&T!3IRADeJR8s+f?^ip#QO
zBF<%hoVH9{@um|JkNrtXC)MQw5s)#Y&tZRt5@!Yjj+pb;pI3~ozjoMIkGuX7ZESMJ
zdC~fe5$mbHsz{KhCMSa&2j`@}M%$A-{8%pHpTAC-r2PQVKUpTvocx=VQ(WdsLy+a<
zyz)OOGS@4+X`;s=|1)jktwO@3{<%DC0auJ-8`l~1y=q1H`v7UJ2qpja!1d5bR_PWZ
z_(P=``M2bANgSvuu3PfQiii|)q_CezMz<+6=bx~gk1FuWYo=B*n#Ku-z>4X-4`)F1
zuEux^_LC>$W<9U@|5Wkg`hc_yNh6;Yp7TJO`u|ka?g)_bh&1v8xRGe6uCp<Z;b#Be
z9Jf^PH6UapP}l8E2jeIDa1ar$72SYyJ?7ggy3zj+M=WjXrV-B;`_^|>aC`q>j#f&E
z(`e0Kqfz_+ag5zGbZ}`$Z0Kj*dCi=vJb0!)%UGx{rK-X@4pg7ZaZ59ZF<XpNIWvfM
zrO)H&q!}cQj-Mno>lY|i95AGGBaIVpb7`)>MY-@L=XHpj>C2{t*@_vXFrA@tgl7A%
z6dMWu-OM$1exu3$Hf>rrO!k(6X8Jp9v$~npm^}l{`FB~)Zu-vMG|+@EX9=ZxMw(-y
zT?5T_J<Hb3FesBZ6iQ#C=<tx!{$6`OP7n&ES4h~dR|(r20M1I-@GCbprXEoolp0ON
z1)x~cDR3=RBj2cmqD&2+Ax;HHDVk<@3u}2#&Kc1JXQ88cZl)&p1o9XXKBQ{0+b9|S
zHdV6Sss~W#+^$&Mbjvd&V;ZFgk~&?2_nCF8?&A1b`hy)tHObx7bS<3$k3UUvh>}QW
zRly)Jc5~++O><Pykol*j#q8-ovm9etJabP>dzg7ZlbvMAS{l!t05sESmPy(|jO->9
z`8CZdOViSN%ucZ;J9{n2%5UGIGa8!g0!#KLHNxxgW6d+$5YE(VaQ5Cv9c>;{lgxtv
zXH7ErJ&YP~*5hz`#}zo9UNq(-N+OzGr0wSrESgv}_Ty~xv+?afrSS&}AJ5_V)t7ji
zIP;Z;-=gr+C=1$#pQ$v>4yBP^+X&J)bCkv(DSUU1k~YsH7>do|%vz;sj(v_pddnfm
zA<Tf9>40OxcY`JLx;tlRikYGyb4E4?9H-JPMnn0M;^@eAfnaD3hv_C<rtsPNpIA)i
z6YFc*n&3TLH)N0O{bJCp`ZfG}Ir!|cy$@gHbqL<a5lGo+&|yo0{$OL)-zqK*Q58eC
z=lvXAzPaG-WaLdxbMV>2Z+xKF@#@Q9_9188kPj#(?6=vDHG86Xa$J~~YBj+Jxu#_I
z{A|7j9fEB2p-u^KW~*CpwL=r>8v@3gxVJyTwIJJ>>||E!|7rzK!k?7&1;+-H#%h|c
zWofdV$xUE2$JetQ(&9YW6qLGZf^T98vTemAt(xXryQN{$RZa8lEY0hLbaiJsIM}U^
zw>2LSJgO4a?*t$#QN1k+p?5+7t~+n#X}s@N!cdZWR|aGc^`8d*Ube;fEq;?u;1*-O
zbsk^G8V&#b3f@h<?#z*H=e`>H2Ng69#Q1goNZGhTtf4>J5j2jC8u~{mbe1{P4HC%G
zKi(0r%F_|>Pg3Al2py=dT(FMzKCDK<&%)!@NRal0t4DkA`okuC@(;c>2K$R+c=6r5
zQ=#F0L8)=S%=s3-o@!~+cjRp-dB1|?NvncdUg<0~l25Hh{}`uMTD1xs+h7gY`7`eX
zYvhk}$gh{|0Q-g$7`yxU1FEl42KY^EfHw*dkY5W6^EWG$-^M6XyrU?+Q)6dQuJL|X
zH4nu*X_WXN(Sls#{=UK`Q@a#5yx2HyX!Ji+=r|-vg*GoVzgE^1e@rQ)VC|)-f@3|>
zHTIt<Y&Td-Q@IyiIZ>HHqc?>#%b#*ASv~OoGxsiVl2qmS@EVk50bMSFz;bC=uB$T(
zqTniKWtT;eg<W=8KnOIwGd(li%ybWZ*$Wa;6hUb*#8wg#jmBs+(P%VA<1NNpqR~WS
zqA~HW(NF&J$tPd<hffj`lJ9xmb52#As&lGqx~qEN=kIZ+tLlB8^PczIPo1)>S26x?
zN%#2rg{cXM4~xb4FK9dwJVOO$v^5jk|B;jM_*h$v|5wuZP!6}p*<$*ClBS1pczld4
z#(!ypBOr(JcXWI$rk~+5J(N@Iv9%aK$YtF3>Q-tTrj4tG>JS&za4w3Bsm1iOT&9Pr
z4m{&&VL6;EcAYs?0L91BV*J^zBn*|y_BdLMKgVT!DDCk<u9!d0WqzofjSg_d^a(Vb
zsK|VCuBid)7~Bd)$w@Jkcj5zEvA@=7-!~{qO@cKj662>kjSuA?$ADHS&dQI%F_;yK
z=Q%0XdOCRZHon+4U7bQL5DaB6W7qC%n2B`YeRBuV=O@)^hS6mlZ1#*EA19X2rNDS!
z-ahUw9K$*6tM~mJhR<^uwvQA{G2C3_9xR914KA~p^%_Qp;R{@beT(%8M_^B2cZy##
zo@Ng{n2&JqY;^JXh9ee_^hjYn^3sy&I!ab<a#{8ri{Y|tzq=_mx43Ms&k(-qMFEwK
zmdZ<97PG4~IcV9u%w^LziI+^dC-W?dD_j(*<+$3g%JBx4;~lUPDaXEnxJcB`Pi|Lp
zQCl45c2SfyLi4q&DHbQEt233z0n#G$T3WVy1ipGb&9q8`aimzjK55xE;7_w$>r@xY
z?J5th>@<VQQW$O|L!xC(tux)eo&-tDk%USz38}&6v3_%Pzb6IL&J_4&Sa7~%)jHpX
z$6yDWgf}zp=3p=qcfJ9!+tMUflyD&PREKtJQ|JoJHG}CXF@H1lT5;%Wr#%c;s3gdX
zYM0mc)q-_6G2cj-_w5AAYTlZZ5RO}%F88foW#-Y<l_>#2)ghH#wtOr4nR)Dq5TV(d
zq#4<5(IK;t+*$xhbet$8ze<w$oXE&&;W5otzP!doGjh(@LsLo5>s&;>p=st2h!0?d
z>J2Wck<(-k#DwULE~1gs6dzCuRj&}L_~eIBy~Rc4d(|OxPNhvK2<@-CXh(Ktd_GO6
z-bSiKW9fT8HFFZ(v!}xN8)USrzmdywbaX8wzvWDpZy$H&WI0CKLibK5-N-o>A9V}Y
zyPaIVkxJ&IStD>E`aLJn$Ubz8#)a<popdADRrUn6F#Q3U><An=tKxIMLiC{|(a7ns
z=YNIfBS{+H3t*YU!82Vbd>>2l`F4{wTbRo5ELxq<p6MrGE7CLdjpSW+Ci%`Z`u}(v
z(6r-X@>7&&^+tWeYp2z1l)Tw`1wzbzHeuE`lQzh#)%z6NpQr6aE$rKHG|;}?8x)2w
zlEIF7UnmYV@2=d1<||1W-%wy6O|0)M_P<K|@vh*|`4H{Siutc6<qw?+cEuy+|2Apf
zH*g&2op@_51b;_@L>vw6pJ=lx_W!|Y-?ttyFb$68RA~OuNi(#o;?1aV{Iiq8H%l-u
zDOU3-1V3;R4DBmNvnez`a?+gcnWEEWN`1dIoMhg?s`x=zid4nEsEL`F+!;)LqSD+R
z+c+hLAEHF7LiTl`GufV0B`emdgs0gF=fmW*>pR~xQ#R6QT_FsQBpG~}n~lM)wT0u+
zB!{p6m5sw)bqm*HNiJW%JR6t3%e2ix@;FK2_4jB=($U~zdm@>n>#`LLcT`VK&0~*v
znI_7W#&nrWEb=uBYsO6y`ec&Yw;?C)O@07lyQ>_ncyYWO`IaKnOj?Hyiq->Y*Dfo*
z{Vb`5^+hYg52WpQhWlozQ>{CS$Eu`o-_&NR>6B7&XigL<QMx)wF;u=rw<Aiv9+8t_
zy2r}YqmqWR22Au6o$an5KZdrg#=_U`$FtOBIvMP1lG?LY+fD+l!t&3F<cJ4-*2r|S
zID-G=WI}vz#b@$VN+CEkNi|ZYBqH^UoCy*UyDmvElCx5Z^F)%$w{#ZIm#{0f-BmQs
zre&*W_y#9~4JQl6xk=qi?=czO@r~$GADu^rc(KSDNJ-zs-j)=K4ar3Krgk#;D5XeT
zkR%!*GZF=2W3J{C#bHy@{0MGJDGXbZM84ev@%%8MWYw&f(4JKUd|OI<=44}nW%IJ6
z#xv4;iLJ8Q*bpqTK9}RCZLkv=Klv8-wXnd396Y^E_PZEaVs1wwslLH!iba+~ybjQ*
zg<JT=_%0fc7e(LXTbg}*SkF>@ZPJ+ox&|&sOzy#FKadB(#GZ)0K52VE4dt}$F4e+t
zW0JxCmacI{+f;B7hGvta14m9)Xw?eZ0Rt<KQP1I<qI^23d_c|WBk@GcED7QfGoWGf
zQN)9$o)kZzGWA(@#?3;~{D3ZBX#NuO+Qx;A=_}3KFpfN4B!`v9J2KWGlPMHwIo?jD
z%C~H1qSjPfsg$1l-$S~1{`>YvEQv544f~S`^Su+jBpzpM+?FKETygXJ%#KjFohGeN
z$XrW>7SnS6j-=+yO+$pilhJq5dOV{uHw_W{@qE2IDLZr15Hah_#(R>s2h3lFMV#|3
zmp0mqIMBY?Qu%2&?Dx{Rm7$sA(PeuQOL+8sx!T~`RWP)cdi=g*LIzBar6(jUj`~Ti
z%mvz+Fi%9?Po8*0WpAAv*)tiBtp}1x@vVp_>I`R6oKg0UB+G!AnlN*&FuU|z5%w+`
zwj#`Ta&|&}+%BU_ukw~<TGAP2?{Q^G=0-8W>B;!_xmX4aH2fY*EjJ%XW=-Z;P9!I#
zhxoxHPv(jy!4r?-4=0UhZaNaioe})eBtz!r?$Sob6}um&Nh@|US6HFNY*G73QpGEh
z0rP5MJlSjvS!dDsbkaqcGa*8e5<{O$GGuPQBMhEG_ZKcFWp2MC_T$m{rKIf4?RUhi
zGcNx!X*+Yxy1k_jgK|aZ*J#*^&dk+9+-_P^`i-Ri%(ZEP$CI(&Bu6~@Ggm$dmU#Al
zJDG&cai1{m%;fJR83xSWgoXEFlqYBP^F121GT3+WCEO}s{s~4wQJdK+pzph~AoE~8
z&gZRyewcJr=4i4=QYxVzCpmmOb<!Q@iPi^QuF71dtyIJ#^`WHn%=M>b*cqh{C#?@y
zxecTAs_H&xkUm12R*+^MK}1Yui_u42j?WxEF*<LEK9=-S=7u=RkrJVgCn++|3PmYA
z0s4f?PrjXki6Rgsh{xxXN#U8R>8M?2c&>N}LdjmN&n)^PeZaG;p*(<gtq{%JP{z!r
z_R|kc%J=O<O!z#`lM*|tk~EpaGfv})pF>FzZ;mr}h~gyi7+Rf7K;{v1+_p20jz|(@
zZj85ai>xb%j-pX3h%z^hQJbj|bWBos=Gx67NeQ1dNsi2oqs8HgofBz49y^&EM~fjI
zI438iXKoxV!_KHVHEDgoW}dKd+>F|1wkdBax?<-HnzmwRzzThu<<tmTmrR83oaaOx
zluSh0uwWv|lzCdp!Q_div&j;Vrp!&HgC`zS=O&YpxyU)pJ0t77BuDnhYPMQc9MOd%
z16+}{fu@Iytc2y%$hshzi0qM-q)MrwHYS;}M^=)_6Iq+cGJIqudE$|^C7F!uk(D&>
zjI2wN9GN5Q5_|!nwY52m|G6UTGMcs`D|2=yEvHo^S0vMrIlCQ9p6tGoEJJ6vgD0Nd
zS0$5?IlCR^o!Na&k|T3=?`qU;>Ein*UH4Sybu>L(b|)>TW%muqG-S?h2a_keZz9Xk
z+3nzoXZKVx8JV-&VcwbDGf9rjgRLFSy*zRNOZ>H|wyS*CXxz&1%yZi=+i6)opG-&Q
z0hp7^lj%+J#4|nf(89?S&-PX_DVd|!N#M-*ZjvQ)ImZaed?MJD?fYoj%J$6qla_s3
zuwLcLh|JB0gD0i8@am+mGIy>WOlb?)uT4^A?ut67;<5Gmr1{KMio?7!vhGT9WFFUZ
z{${(LXm*9xn`qk#t;{uw!*ptA^v%g+WX^OKS4w>ST9PXBtd5JyQ+K_UH1WDC^T6Ci
z6c4YrCliu+2E%3F8DGDdB+0yyF5Cv~imu<LWh=Te=Xk>Kq~4xl4l}d&#QcsUE4pX)
zGB55Y=~BY$casjwoGVEpPjJ20k)mGasgop4Jha}QOho1>$)t5>VEti|B6GzReeJ{*
zT7N{_R%m5j!f=>Q53WCUWku#lcG0B-*PkSvmbvb7QF+4a6RtF6uDe`B@c{c&G9j5u
ziOaq-#6FuO$-MlK)-HaYcCGNroCz_rX`SpZCe>#ygK-*9K7WN2@ir=R|2j_M%!98c
zQ<1rt#|h#=^!23e)27{Dih~2xdOE&^Js-3VujH!`--MOOs}KX#i3PmRGu3UiYkTl<
zZydE>R<D(qw+qDXx5c?L-NuxBqWO)T{%iX^-?@0UzRAm~`!9-|;4k*RLwi=#4P5F~
zQnfL8AvidFP)vR=>A-<ItYS8si~Frqe?Mt*V7p|S)JHs)XK;#Nvt?WVA+0CQj2O6K
z$R?O+H5YK6p&bQ3PU`j@^y$tko?&Zw;=!cFC1x1UjkHxhl(f0T3`->Z;iSnWCVa8E
zXeIoSq{V?Rrr0?Ii%h#^_0go&fs0VKRa76b<3ptoJeD*(aB<N#>?r(?k8BjRX*YZk
zN|Zj4G&-<7Q%c)&-I<yBD!zJGo|@}6ZnmT9N!pE{tDG^*_EuVrGEP6%g~H0R6&E<{
z4tS-mr9L?_iNlgQwdl9)#RCVpEDjv9D<4$4_&nPJ4v(!t>lD7ChR?Ol&W7hP3BiFb
zf~-#N&dyfbo$?}Ht}3@{w+1hSiRD!;%NZ+#*=nPTvtz4b+H&!sE~^<EndY8qYrbNa
z-PJC887uJ0^mG|tr|aNcX|{=2;HtDD@A8Qkj&Rw}Sl{ffVR!v>nddB8J~(Q0n><j_
zvU!ZlX2z;^XLq+8K^r~nOA^0^My(cn;3S|5-I*E=@Zg~?<>m}G%<qnTG)XL<=#o3I
zL+vo$?zC!+*|wY*vKw)1R}?3^Xa;V)bkNLW8e5T|Qnooxb#Y{@=`BB@Cm5?g&&bU*
z!rNB8&Sg4dSJG0A!}+o6ASQgmWqsg`yTk7+m+kW2T4zp$Q=&I;wu>oaQ@|5u7OD&A
zvn6Z4b6s{b)_&>`=Q2;Ns@bLVJeSphFBU4lV6Akf*;+t*SSz>j?JypPkAUfv@oRam
zxzJ>#TkF{U&kZiZ=VlsnOiIIRRWcWhU=7D;&)N;lMwhjW1xKuzHoVNzX$jrrGCgog
zMfn+<9dIN|dA_o{I*;QO+4(k`n#=GsgQgLy(6_kg)_J_#!6bI<crBy-g&f{p3S*Js
zoiCOhW+pjFY9FpB7PnGfrfNLhsCBfWSl&j<iQ$cJiEw~*`xq9nzk~Me{g}SCeSq;;
zcTcSEqV@P}g0F=eU_W|-nHaw|Dc!fuHORF4TVuj<y(<Yr`rjTEi1{0niSRYj0}|n$
zBNUQKlEl|T9zYU5wo%Ma(|jUEhh)Iw+zgTu)HcE}n@qrvSpf63@H^jPyq+{Zr1tnB
z++u!#=5s0o(X-{n_@c}Bkgl<hdKdF;mwDez_JGhyJ2qU%_PEG~tSlBHr{jz9{VwA}
zRu`Vbg@xxf^4Rt1kiir`JYLM-?n=gx`E4JAFXr!XnIBSr{6K#pxYI@8TRj{UP~mqr
z#P;2^ov4O}HD1|g^%?HT(|EfZOk|1jd!5F8z4<|Isq8Dyp}VHO*19|9r2BHE!sL;k
zs_&%Qp1so+>1|C~G#FFxBQ9kg@EZ)e#FO_sIeptw26!^$Y@?&9=IrZRUb<q%nROw1
zz)9xo1P>tVw$T;F&^N`Q?{M-BS&4D#1f68;JWeL;T}~q3YTtl_VRE8;Yqiz1GwMA~
z3g2Fs3>1y(EVjb!iN(YFoHRq0tS}x_{Mjk`fRk!SrzO5zEdlpICxvgeWq{Kh-~1Dj
z4?9VQY=@&qaEtYiI;{_x1jhl~Lh^AZ$&l?>{P=BQ_@tA;H@h<+C#=J_#r&t8=7;o>
z<LGT6`J9u)Hv`jcU?R|bB+v}qV`ILXIJ*7<%tl7nzPXn)dy~=i{H<!5V7pqbHI1@R
zeVHk+hTS_ot;>*X)_7bf|H|pKT{+X*19c((YZBWX%e)gC9bpUS-y}J2$T_7FNjS&?
z9~;Chvz5EwB71z`l((ntA-Sab?~|#%I_Ffo%FTCO$vry@u~aWHlNA=le}>6OQS?ph
zScM~MOgdn?;04<R#PSa))+%|vjVRfSTLn!Renf^uZ+=9UXoL&PPsn1ID&O==#)Q~K
zS4e)EB=L3HGLpD5`)6c{7nczeW0wv|%+HgFdA1d#$^k*&XqtiefACNw5ZAaKn4E1@
z7UzQJUc%>oVLx}A^EsJRHZ{jCKK6wD*rfllNm;C3sI}Xueae_M=!UDmV(LjIH@*;l
zR*Jz^^_Fg}Rdv}~fuTdf*3q^tsIby=9@F!5JQ#7Gz3A97kH{yJTR7Ms)9GqO5L4;0
zN*sP+RLre(={U;Lfq_VetA56<=TOEWwv6XkPw1^)&G17Oui!JQ?Pt#LJTti)3%TW_
zjS1Q~(zapuP{L>8Hn_VS15|h<Tow^~N4wH*J9VJd=z@qCJ=SH^UdB!_dbK(*Hq0oo
zc|2`ewXEF@&tfof7Ohx5iI(kp&t3+}WID3HNvxidv})H4*j~`aCIAyvCo^|X$3tOo
zck3JQ_pkQPtZ(A)n`!Y79G{4Cxuwy;-mkaf(ndb_x%Den%)NQ;&2Qu`y87k3`~6pN
zY(B-SU$L%k53gRqt6#IO-V<J(<kf$-u6`=KdMvM=aCVgUX}^r06z_|8^(yP?q2bjs
zuij`~y*|8pBCr0Ib#*4ZdJM0=*Sh-d@ambo`fcm#zl2v`#;Z?1C#v~58}XCUd>XH=
zx2~QTUOk&v&$F(+GQ4^!uTEQ6=fbOJ@#-zs)tkes7x8M>x_ZRR@RL%thF2f6uD&<C
zdc5#HKboR{4X<9vtM9a~ZoV+Ed;+ijz`D94y!w1zeb~DCw(#nUdG(}oqrBTU1(vVj
z)el)$ufHg`dL^%(|HA0A^^1e67xU_u&Wm3CP<ZtuUj29L>L<gi+j#Yt&W}F(>G0}}
zyn3K@_28G|C*|jLyt>)CdP8{ia$bF%b@lt<)nDe-pIBGVy(F+);?*-=6jjv<uin6`
z*IHM96kgrLs~@tiKK;_b@^!rWRqN^@;nm%|`c3QV(c#s#y!ubp)nmh}&*Rk}SXW;k
zUcHQ0&&FqQ!aC=};nfYi%Fm;RSHBismCp|HBi7;7b6$Z5R4&MOu=pXt@alYcRlW<r
zZ(D^|9}lm}p{qQ(J-qsht$}6P2*l0I;nlZY9$b}40Ir3HS6_e%RI8Gq5XbW2)t%v0
z=?Zdq5ngSCSA#xZc=eX>YS6O_uXe(#K?g3pdV6>^=njQf-w<96dMV-6H-=Y({z!PW
z7haVHj6IF;>U+YgK}!`}?arNi*@|xOfEG4Ju(|pzG#bC!*FR!ug+KNVK}UVIDTm{?
z@q@mpcc6@V`OBHTgV0CAUal&Z8`f?kd+(X;#kpEzA6^8Qs-QR8JG^`q`Y>&EKm<l(
z`&1)%D(>#B#x9Cm_m{D`Om3*6d8{uY7JDmI*KfYxd&Z?=U0TUA@r+!rpT&Qz1Kibr
zLx1;O{oX<7{3;z#y?-M3YwpeU({bCGb^F=gp{h|X`K>=cV*S8&wbGiJ>(^g|AAKed
z*(o=bwpY+$bLrg>v1o~`Zxpk=Be(Cz!a$>BX+z=;U0+$OO(Lt-)~3(t*SFI{2k@W0
z11{WtX`jhAcc`n7c#)9x4#1P<3H~#9;`;S!cjI1m^{eyPI$CDu)@*B;Z0w$|HEv#u
zo6wP-z=jt3v^qc0X-;(JsuR_HSfk+;KBVW<CKhXpRXl}VJUc1zg%=Kb_#!;4C&<Ew
z&2uG?mV~s_X_i1*GNh%*bESY3Za6JdqLe)N=nCbdiA+zeWlAxy(1}|~4g9kg{0joM
zXERk>Se&meR2!X%inw-a4qsB8>Qq}3^VL0Y@_f6qp!}`b)?GT_iLE=Yx?Dfe3vVt}
z#ECKUCElz&%h=hKQF8+a2yxG@<Ua!<RB57uF4DoEg|Eliqp`<AsphdrcJ_PW6O!i)
zf>5uCgy<7U!p8O3+0k8S$dZ}~;c|6fg<dnEtZw0y{)7qG4t7wtYL)qZ{RIrzHEM6v
z6}-iS<yGdE=+%<GS_-a0#M%rZ6cIx2CKY-M8J=0otuZWW7#mM4VpkuxBID042mJ^j
z{1g^PRY=vPa7)d6ZFj4}H%}y)mu}6?V9(epL0l;mR}uvXzo<A}nAN4EIJmI8RClO^
zvO<ayO{lD%u<|<M6WK00h3^+P8z_UAB@nk<8FfoOhI_`QxJM<N6<JhlNr^2{Y)J>E
zcAxktE*5TjMHV-OnK3~VQfiY$K&Som?O|L6cSlNt*46JtZY=ReDWl<yCIPHhuF9ek
z({1yWDF(7+BC0_wSYenwQES-kj8UNS>g*j$eXbWiBAWT_YDHD5HSE^KP$3PQvZTS~
zX{jH%^kbsyM3;vncl9DSgq~&XCvw{KXr_F}*Q|^?Sse#;9d-dv%yc_l)D~E*H~GFZ
zyqk4uQ0>L;?wzh~6i4yKpa#T^C1n;tTcyfOK4WMbnf(6Nv~(nlSgr0vQz97~>aM8B
ze$U(>vg8Ko8W?d@bC$fGquK-zN-s)h@I<@XXycWfJyjv^*I&*?;Aqd)-Z5L%QeNrI
zo#r`VJBu_&Bx#gA)b)3$y8is+E$Gjo0;<jIpWy%TJ5h}LaHTS;>(os5_D;Q2n=Eb7
zCK=!1E9@efiZ^7H6P?tL3Od~>D0z49bf=_UkrmlM)N>u8Fgk!!R7WWq(K^45@m}v8
zgOLXkUnyOIVib*9rvGdQ6{8Z(Y}lMS_)bW_sdoZ{7WI8;i|!&Pm^V3?u`#>aP_4XG
z5_H|o0n&_g5Ak*y!dRz${Zb$6t>0pZ;FhRMRGkBd2~lY)#xg<#Pfa@X?(Wv+rziF|
zyRC`l-i9SvYg?0cOK;648YsOI21?uZHY_R3ol_i~s&5mt+nQ%}{O8{4%Q;dhZ8i-&
z?YXJ})Y}-~^2Iq+jd8O_d#?75MnxVxW|ORQh+b^AJHhP<mgo2`_nxyo`k>A8OonAp
zrD;FNkE#M?fTUMf+8wQG1!u{c4l;HYw=lYEs@zo9(0u(0YsI6`k5?BNG!r}I!FFH&
z&ThE`lldJUKT<ivqEN<AC4NLzi5EETS<BZNvAd^+>4W+G6MUWx1v|gf=o+ZLFCCzj
zoq1u_`+N4SC2d;zW`XIFn1=pcE^Yiy5vpqn(oZxS6MBYZqB)~HN2#nNc-JESsI+AX
zZ-yNXE&9Tp0}P3m9ftV(#bT%zu~7=dl(d*qb4KL|Y?QQ^k`@!%Kr+v9C9^WcQX#2i
zZc|64gV(rrcjXN<iHH*}OueZWUKf{&mm@|%{bCpO)LeDy=75<;987d@3}jnXgjf@k
zjbGZ0r*F=7cQ3e6X`$JYm{rwYU>2&jxKyckegavQ8IIK}^FaP)0zi7s>Q*iAoE`GA
z&{7`kh0kcmk*s9Mf((}4w<d#ZT}fNTZEXcnTE%-|6VvSEpnNwcrrLWX!d0<8?!x39
zn|EH#2<i8ZyAW~3$4h)1-3XL&a}kU$a5*ZdL)c~0T+#YO`vvoEx;o)~+NgD3Pu*e$
z{Q4H<5tT?*>uX&a46T{DR7qWJShnd2&7S$CWPb4_N*j7Hd^KNNz>ECIdlZRVx=qwa
zn7T2E(sum!^$gXE;aP1;3Pxzkm#9F)oK(Gv@@-FB@w65EueUnj*4M*dO8OUAKGWr{
zz%t{4FAJiC=@dOXuo}JA3x1aDFpt3gM5=wY4H;d1H4HUP%dr7T;)Y&utz@q0;j)Z}
zp6{XyB2YGDP`4FVDi}@-;_v0$w!wI}?&_%<7=6JF@z^^m%H9sAXScGwRMWGE(r{^q
zZY<%T!xPW+>%1RL;?Go*cx>X1wLy^;%PY;Fy_J!|cwF+adb^3XhwY?1cTn(m@1R%g
z+;#<}u?RVytn6tuqfZ8Z_YS)7>K)t6lP4rOF{;K9uARukheUts9kN~BU`(t@nh3H@
z>s}T9&|4K`hDSNKe?`a-3jXdLbQLZcTHU);^@z$kJ{3%<bz7Jc6t5kY_`P=+t(11L
zc|;$2*N&~!awzXBYlHe(`As@7e7n7u2!<0S@#q}NK|T^dv|@hf%SHiZIrvRk3H}U1
z%KSnr>Oq9mVcWSt(o-Q7y<;u<%-E8E63D#>y_M$A-b!?x<pLf%BV8W90*D>|{DPuv
zX!yc<EXfe?s2auvj8WeN$qXDLJ04UrgWm=^D{itcR*>f7Rhmz?#m8?C9l-4t9tZ49
zvB4rC3nr2t<v*!G+=&iu@7IGJ9KBT+!ie<J7(uFT9`LxzUYbBsPg6-%9n}mE$_mDy
z`+~Brgnom$N`S(0W`9J(So*%EWK0H*kbm($b)B6t?VE3sk^su7VklYQBD;1aOTJB7
z0%&h6hBoMCD&KyGj07-VR}3Q^tlj!OvJt>GTO6Alv=P2^Ag=vBsR^L26i99QE<*Z4
zk`h2#D~6P>`tPoErskqM6@~oABqtP?wYA1fQ)lgiWFvsBpb~@74W}hF?L(v`fc964
z@$h`LG26kqyEye>@)5vSPzj9%?jvL*6qiCXT$B_(N<Kny8EN{_Wpz@D&^|_50%+43
zJ=x_dbvE}R3~cm*+xzuNv{<q+vA2pJ{LR$p1&^ynk0#LQT|BtavmQ)o^uqi2FI82F
z(Ep@A2=GT*qZb;WKWM<+x`y`|qG+Qhl>bdi0w~kkg3#2GDOH6bY)?BIY=q+2BJO-T
z*$7}utNuqw8`;b_R0Z2gk`h3gRws@?8mkk<vj>xwP#kTn^CGm*BrO57X^q_osdYAX
zLVg&@2_R3amq#EEdrrc5BpC@{Olx^YU^Mlz@EuJ)LUDYir4znm$wvU+l_@PNrUI5Q
z2r+l}>%mU&-a(i{2x{Zlh))WY86%sARb@;AsEjMyMdFUE68%+VU>^TaRflLS(Gi3J
zjt?GBuN8yaG)uG^7QVIQBY-ch)(8wOkuPX{gDEhfJ)N|KqLOJQ8+F#7MLt47eBpGa
z3bp5vj{v?`<{vDRW=>R`xt?SMkfpWWL+7FFDl0cy&ApgF5z6P2k^st^3P@k9r4h~-
zl9K?=YYO0ul)@L0iU6v#3Vv9RN=0J^Z<4r|kdaW3Lt|~IaQ-qm3E-S5z@g3tRG2R$
zGohfYR6ReTx`<Q+P+ea@BEyDS=w41b0_ch;_@>nqvR9Cd0J5|`^sr&77fN)QznpA@
zf|6!BAd<B0BqM<A(v)mtNy;`Osfu^-(pT^47jdcx=GSI0kB#uE1910tk@WHm&!mix
zM0G^aHB2o5a<0nBv})?7<}2+s=e;H2*O7++p0rt1O4Fw}v%McU@D1<p*Mk@5dIw(w
zGo@W}Tt5ia77X`*F*KmMTQq|1)_vPW>J0;25|K(n11W?p@~*8&uFy9GNKI?fY^eh>
zSt|>;c+NJfV(q4BauUEfopU0mnhm_Z+2QedeAfY!Sy;c(ytCvbfH!aFb{jPu4pG&d
zny^knLIKX@GM{;yLvJ~e3|$~60i0<y|1cTKK|)!Gr)P8$7fD9|-L*OAWk9F7+T<b>
z!iAHq_B3l)<QF&YAr}E$SLdBBbs~^v+D|3|n9`cFp)*X{L6cv%k&OVhv_9U@Y<eBI
z97M?NWF&xbE^kjVAmuC&923Tu-FeP9$~<a*$;CU!O#pY=IB%HLs=ZiJuSM3Fg!WF-
z5<r_aG#P<*sydICxnwm>DDNgE0hGIQ_A-04!9Er&@y+rzKw-UytOT&;UD?R#;td@5
zjW-N6-MyqEfG+QbgPZ5dh$2LfI_o*oVBJSvLIKG{Pg+hfD9dI9@oJxRgaYWm!d7GV
ze%awCboY~v0J>^Q=+GgH6=Vobzut|{a$rYkrfyR5xqdx3NuYPc#oBCXTdTB5%(8o`
z_A9#kG)aT1`$VJYK7D4pB&E6Zq_8|@rc{IVYGpw?LnrE;^d<p`Xca7hj%c=2Ud&;u
z8qO)#D&9>M1gJ>s^2(;0CCn{`_xJ0;c@MpVWxq}^znIqL4GpL~qY>oUm$!@5v>t^0
zWJ(V-a-;l{xvJH^pKc+*Eorr6#6<ecU*yJsD>~aKKKetl62O`^YacN-1S^|)HQi`V
z92N3EA~^x%X{$1$k%#jELi)!fC4e+-j%74b*+a~pK3XIMzA*m@nF(M{>*J5c90{pU
zkdOevv^HsU!eHS`68b6f5(;%OYnVvyMwmZKW&)V!Q);-;QtX^Y6aLSWpHOHPtI0GW
z{2~bng}Pd`C;IG49nD`MGXczL9m&yLZD!Xbv0o)6p-@UQ>m`(5CnW)tX>$;xr81b-
z6VAUSCjp#kdm+?l7cEG(zD{s^zaAWT)LX@UxIycfwgE7BTs4j~fyVKFZx@+q?YQ+|
zO4}IT$A776OoV=i{vZs<_Rv6j6BXWPh@#D+P=1e;1W=|8&O%d5rVQ5M)GipI{XS_4
zpiLVAk3bu4FA~Ndl92$$v@LlfFfu1&Tk?eZ$D}3{=i^wtCA1HcmQb9J!ybn)K14<W
z7}I7^M)a{R)(?}70JgMF)rf3Ci!VuhgrtPx@-o)k3+<z%C4e@q_c}saoo&64KSpvw
zaoMUGdSQE<Yy_~S?Kc@Asiv(Jz9+~>D2~rGw8Hl!`3T@k>l}}ezMz#A!WB3juTB7A
z+PYvcX_&d8jXu$@2ge8Y4%Kg-1kG*QI|@-Fs>P)tw79FT6v=7LL;Ts4M%TJk|Dl>*
z(Y=yRBEU&$6Qq`z^rq0dHNqHegN6HGaudLv)|a;o4#^#>T!jCb<R^eXZNerG{-84u
zY|0S{hfxAy3@(VZmBN1{`3c}p>mB6bg0RsP>Z3_b0CidqED!2Pz#mIm0%+?g1IWB+
zgJx6`eLUF-U{9N%%Y)t7u!)M3sDdyC*Q*vzXip(60kmmzy?G?wG<8CJ8i@&GAU18D
z5T8k60*KS5qVh;_(D(`SbID8?kj3E(7v+W8zFI@Qs5o%<LE^D~Jvb+~clgfWGZ>}I
z#V9A$)mbR+8SaER)gaO&8pJcNlw{nJQd*q`Qd-62{cW7ZQJHSfRn?oN;tZXr=hK%2
zq#|v&E^C3TYO)R2gWLP{;1uEBD!xJ*^dHiO>%rs7S2O`%tyjKE8?IXqruZnlkN;9t
zs0iIae-Pl0w27h6KzgGc-e-uST?L`MfRqGKrWK^n)RHOHx_G;cvk0)7%L68bc_Wz#
zU`}hMMqrLL%tE_~v;@$m^#n(t?KE%3xvKo&x-f1bBcV9Pum>QFmynSF#<UU72x&C6
zvG83+J_7jChUp{lMM}vPWFvqrZJ0hHThPCdBwk5U0!Ryr)>uzkXs;qI0kmnu^bykP
z?9B-IH6$k#m#wN3BW%}^jR3ZSg4Xn1gzpCO5x|!=Y#zb2LC--5Zz3T9gfEFTxr^8j
zF*}P*ZT=Q6xTRkYPQS;t#KqE9^(4Cj$ETT9&!H*Xex+#Gn09ll`3lJ8Lm$-2wK>r-
z%VZJ2ziB9wJc|I^`*t^Ro*#}m6{~exCBUjW)F<rVgkq9yQFx7UjjyTC<73}ZxeGK*
zfZ?^aTzz(+>ZzGO`gMLypm$L4ckdv5l%Skqa-83UdJ_Krl`Dl!om&wk!x)U@I5s#5
znfpkG*jAk2`QSY%b9QdTqJ64?|B-(EBBWBjiqJcJlX=NAdKBaHJPCEOD|1MCRV6*P
zgzDEJ(plFh-IOHaFT7Wq(`nep3??9hV^wA`ym*0Seo>RZisS^4$A+N=k&9WJtF^c&
zTVf>}UriMRsJL}0`DT~;6vZ*uPquLKbqin7ajAJN)exZO=CP;|6(~&NjMtN%0Q%TS
zCnbT2nkD7lxHB-|LHMep3AKp3D1rbHvB{AX!=s46NVAG_aKr^~B0B-><B3Y^WJImv
z%~U~virB1RK|Wx^f*F9yf{BG+qXYsZG{zE&Jf~k$r=9RtDj<y238KI_;q8<_fP~oW
za6$Qi0>N|7wF`ce`~>iK$C3#W2gySD+Y~|=TQpEev|#=Y6%e3c&-h#sJ)Bf$%I{JM
z0ZQ6qQKI&F1s{M=HPw45gD^IS$PVF|7QR~-oU<===KHCHFgAyTN~UY=n{~eYA!QIC
zWB*w4MP%@NO6)rf57`%={1L?vAZ9#GDUSu0_hCYh{4qrkAflN5ot#Ns**)**T>c5k
z2_Ro6Bs*N>lQT6_d47Td2oO+AIduw%S6rW>3<6}ldVGFJiOtVa5n;TJiMQ{crwjsQ
z>>HnBoR#Spsf7S7#q@TZu@V^$eT51LP_TD=-jHrgY)tf3N+CeX;+UnFp4Zo@fiT|S
za5gM|ODzOwdDR&G!54BI&F$Y&4gqqC85}rcHQE{b2TCA7!We_qHB|aXN+Cc>F%7NL
z8+JeapDBU>5yf;)eInwc=O0iB0ZMKkU#zB0YW#?j2;+5*qd)W$Dj`5gXME0KkH8vM
z{**ch<JV!0@qb1g1n3xJ#U^7+$H406ltX}=V&>wUrAXu?hrItvH3X=+JS|wHV$3*^
ztSiyr%elRSH*p5}a+!ew(P^28`gIz>obhL_6nU}5S$k?Cl$SDDtZw2LDcarLc)=BK
z65|ti_y#n0ax1#}<8%lCI%DsS<;^&`(88IY;-x3ZN&stYcUbPMD&btN5$Y#NO#t=w
zOc|3lDXd(~2~hc$=2(Hx7}p8lh;1quI(Y#H=9=Xz_wDknRUG3S%zR7g4j?lD%y|V+
z$SmSxj0cjDP*7T(^Xih;Rb(cBId+Cr4qg@$=(q~ip`;>!Ds>rZ3FR_$Yom+F7yY?4
zp<7Kl0_bA<335o8EDZ7}8J)Nz$VLELY}ZXrY|=i-m+>^^QKTdk;!mmj^|ZJ6^BB?*
z3h`%T2rO)C$VLELUR7!sEJ42`Rt`@jD*>#rO<FnRq8igm@=hiZ0Yv#%F|8^SxVKuH
zo#VGHh4EA}62KUHmpX@}1)YB3I)hvUaOGbZ;v-R^Tt`X*C}SHja!8)tV-~^*5)wcd
zdw*dh!k{A-Z41vP86oG?*<@;lP*Qg;2?-#K?NrJ!b(8T@e;#QG#nQ$r?+v6SfHwA;
zMV_f8ZK4*xfZPOd=UEfPvNlrpY$PKAjCu7NS+&L(#dERxbrY!xppL!Ho2R42mZ|u*
zkdshs<~nPoOUO+Cck1?)C3bmYu1@rQE+a1iys_PldHUI|^{*f)0i?|w2L-XjruE#f
zqyz#a6d2mB_Vp@K6N*l~zb}6cB@iGX&k<8B100Rvbz~-hIdyl=XmRfAw%tH_0_Y1Y
zW~4W>MAAy$L|y`TeVq<|9S)lZc^KJ@TDBiNA(DKiUq7B(>!!igJ7P0TV#6lBF?-ca
zI6<Pmyq4VZmNZ5I${;36R_#cQ7x&Yi(Y)hk{>0RGW^{i>(lJZN5#YGnJXM9mn13si
z<K`H%Z^SQp>eNGk9^ZnSgJL8-j$jro3)Dh@7T@A*?pmxBa*?q}83f4iZLrB(M!XFb
zA#DmFK!|T@I&UGd3SM;Vp$-Cc_;%mrtwWaVg?&HS31Igv!{*H%H1DF|HYy;DQ2`E8
ztkmYwlM@BEQvm@Ae5<c{`yetx5e;`x17VCBBEuEYa3?hopkZ7^Gd^|^A$L;<0YZGu
ze%=|P1~Ni_59tY@A6Lx~8`X%8d#Qr}9lrfMdAq?3aYVp<6hMFg-%4-Z0-|FM5z(gz
z0z{0jO?UQ&MbG`zLl~n|qCG?r@c=~-AR?`VRHpDr;qp8-z|WVb8jYoN6rGRu>ld=W
z_)akQj@^ttnA}y`N`lhnMkDMtz96Oh<ut8&k2H_o<MVe&(tK-@3_7ooluo4kncZE!
zh*MqIJzeHbV64GaT6on*Qu=N>ngB=p_8H`>W(sd4cdF&t`6hN3(zI6cdsISz65rBs
z&Pt4zC4LY-x~naY`F+YEK+b)`<n@xXDM*|p$JhTBk$*su1c-d|a*A|x%0=LZD3Abw
zcQ30ztEVp7K0<8-XnWIgYKwQ@Mcv1!jsSIUTuybdKD~(hQ;H)%oNrH15YEo(*}ZeX
z|4eYjE*#R)7fF9cNd!oG-E#UX=>3bV&rlX&xn%`I0+IFSltqB7JD1a2k#T|u`vQd#
zmRne4@F2pzOko5FTh`hlKB5qHe?@f!sC&(F=BFBFh^D`$CIU1qYYi3~dx*Hdp*RA>
z-LaewGXoM)^)0F*K-C+TQ&n`7BFg@r$_P-l%-td9&_zUkmm&$v?Y`)EMwI;%l@XxK
zx5gu1SgOs`revEOJ_@ne#8-E^{OVDLsc-J7aX;LzpTIHA55V4Av)Q_@v_nY3Pb;10
z3p(qugf>NiaZP!LB+=W|OE=@|GN(LcK2C)HpXs(Sw86?LK2Wre?=3A%E$FoWi0&uA
z{o~Vyp1@R1G~pi=d|YIvJ=JVg%kAzWvsP>S3AGWR?bXA%e;B{He5w`wl!^#Y<lAr-
zITk<jpu0KWU1-Qj`sO{%=QA)L22=0w&2qJLMP(tfdDVCBfs?&or#S>+eTPW*t!OzP
z_PH>wc~U*yfJ{AFlr%g-ml5DH-%H-P@?u!XN+#H=Bq|=I3IbI4UM|j8MbOz5{>R8q
z0Kaz$CgIVP)u6<^G4D^thfX5nampY-hId*oVR{r9_R_A1c!DAb5aC^T$W=t7D=iA1
zqyoa&6h!*WqF}|jP(T=4Jj6T4BI5wcAV7xirPX|kh3W+h`GF)SfP6ePL#(?iDppYi
z0V=%nskug@>DLPVp`<5(-rN1jl|I^m6$z^;fdC2KY1dpOcsAUKnj@%&Fh(`bezT}K
zifRZ@<DCS~)i;j$LQ!%Il@P`jDABIENLWJ&1W4HF>5p;tO6{7*!8?OH=hp50`it4?
zISCBCXI=zD=Ab7z((25tjLHmpJ8#(`Qe#KYO7WvOi(91fm*jRA`##ya#1FUWkEfW#
zYVoJgM+ErD*UhpG`de4~zHTEV<rSR{&3hVo3E=fLs<yomd80dRCEL!V0s<8Hx;XhN
zh`(JfGM-Br1jz6;Y5B@fO`4ETlAHi?Uz3(Ed8|nj73WX|0V;e=S^+AssY2*qKzhR1
z0wLbl6&dGK1_3gBRd>!_NWMfaN?uGQ1Ss(xmQsL{#9=8S=A{%vfEeGVqkP5a(V(!u
zjO+xkkEejd-eVUPo2h~T6~576zCH*>gTj9?`3d0n4a0KhkG#DuA}*x}0z~+_eff&;
zytpoEwo(mYY%Z}!rXpe+MGzpu*BQ^(B|&e`RGvF1fdC2PX~!ucT10nI0b#68FuR~7
zAFibY0wj#5>XyE){hGWext>Z0P~zJdmw!Z{wuqP38!3bUA-=a4hZB<4tE`Zf0M>jf
zN+)ZgPdQC~0{HW-DBb+d9_1`W5Fo<$3P_Hw*XOoM_|-{G0JU#_YM#`t-sA!`5TGI7
z4z)WEM1!dg7fDVSQvf)7l5L70K!k5sXs)^7=|}FN4gz%eP6EnZhr1WKpHc{rGM9B=
z?paB&CA)(n+Cbe#ZUVT+Q7BwJ$lIxb01f%}qTT7Y`;T{!odEWH`zc=bczbjwB@iIN
z_kN3=v03LE+!E6Ij(1ZFVNC9D^c?S@1Og=ZHf-nVjzqulUJ4*Uz&Kj!c(3t3@)O4B
z0ISc~rvL&3jH8nF^%(D`4gz%KI}PS87@{NDUwnWv2$11BoME_t<Wu(C<2%Sj09U?^
zL4<2kbCzW@NY!)@-bHQ#xbv-uEpAVX{2sCsz@Bf{(9Nz+;FYf7`$$ayb-p!Dg4*2$
z_y7eEAi#Id4^5SI(~<TS5uLYsPCk5~U%!Sc0v`fPZ}mkmR@$yku;)hwz`HK3>k*n!
zFBs4iRt5f5tqP<Ds{LqMza?^~_e3vA!$;^Y0%WIF&=HFRn#{<Z9&UBEm+*g#`~>i)
z4y7ViN9PYu`4SO-N)ZHzNFBuvC4xsrFyi#XO}sxLtbayULLo^{uuca2<<9;^d~Qob
ze1;+jh2(!yL}bT-@c%ja3E)qys`7EY9>ogv7f4MQlmFve9Yn;JDS`kIsr6+}>6dm{
zpLQhz{)z$!5RlqZ<s?9x(c$;kWG9R%58?x9alzkE1OXya`)E12AQTZCqAxnWMI8j_
zNF6`rq{ALCh=jkV1Og<aE>MpsAv%#L#NQ<`q2N3SiQV<#KT!t(I*KfhNgcXG{4WY1
z6dVK*0r5KdUnqevzPxbOjsF*Q5TK*Tswv_MwP-F8`M=3d7@rryib3_LMaTb59R%n|
zonFhWNJchk+7;CQLn#DENnIw*Pl}_C`hTf{02QedZ8@rl9Ec;C@_(p-01dtqh+Lx#
z-4Eo)D_dshm>6D62Hhrm=|`CVKQa@*oVxTgTI!?B?wa!7DTDwasY`<S3(-~Oe^LRV
z*g&vc5w9!%n;HmX%noN|`Lq{62mwM;ch}^Y9g*7d>7*x&(GSk*awUZjAS87LI7dH(
zLhSnTU}_;iOX{Rsj#?ZQ<})dS02%p@v7MFGWMZ6g7)1~uBL9KjbPaFpbQbYSmAyzU
zRpybTCV)EsISw~<bf9@O`3d09zhCd+*CC~=%3~>kP)G=PB*g2=<0*mw5vltphAIvz
zBBE!JN<^GQC4_M*32TW+@9q>TAwWs$CcHd-5-PFltJ5fkFiyAVgf&~yX{j@*ga9S^
z56L~D;;1^GOC1F0$iK(y(-H4&PErK{DtxD$4&U44Nezx#^Bj^AK$?FSH%=O@FJC}r
z0+>^`b_`V}63p6)t|`waIRWJP_oEWz@jCLwq$hwr|G|xuK2bZqlo|-*(Gb=~k$UlE
z)IflS{JTyGKZF|W8gVma5XR#QXI*$PH4va7|AAJ*6^>f)QYs)oLH-@6q=I<;x0U<^
z@aMlkM*eDJ3g6$Ec2tAg$W16L0vz0C#I5V39n?U8hWuM0Px>e0Rnso2AV5X_6H#d@
z5;fGdltO@%{AX!>QX<3M>nVURR$qj*RHUZ7kx~edlDc7j=+@E|prI7I!mLmYVXTgE
z)|=CmLV%R~XUcp*;;24nDTDwa#k6Iv97>G9>y$x&jQm%*>5tf!L>X!=kd*+|{Kx$X
z)@VO+k<<iG=RXycq&7#J;3Sg<4!N9Zws5qGuEN{YLV%Y1$9YLDV4j*Qx2uf~Vxx)^
z-5Rr<IqXi7JlR7r1c=FhVI?WX?qTmII|1wk^(IoMY;Pk!0sQ$-hb2?*oUXl{A_!v=
z5!Tm{rsEEZAV5U^qwJ(7LJ@YOaVK>U#^elVb8$CC5FjG|S-PY%91X=ilt6%lV!Aa}
z4V|2%y_W(A5RiXmt#*ovC#;>JQYYO<Y67V9uNB<X(Z-@reggROpPcmYJFABKse}L}
zzBA>9pY8D|iL_nOH~Q^H>;WnxKw17p#G}k^Jl;VG1W3rg^7crGkA&Vu5rlEZN?3VD
zYVh|^2?0v-?^bx+5h}5(@%K>-VVrJp*5x0d5(1Ru->`Yy;;7I+NF4;|$baDO(-EIO
z`7l)wpd$b2lZc9Fw@Y_5KT2)_xbtt)JlxTG{o@osfB@gg$GOy|(Zo-tcE3MKNd!o`
zEBjXQjQhQPK8e)u>XvS+I$f?bD)al>H8V2!G^G(BE&u6fpESFQ{~R?CprO!0W93-9
zj{gg)AV5X_vt2$<I6DMiq7=edrG&M7q`mn|N+Cc>{*z5UuY^+U2Ip&3Ll~=LoGs2b
zD1`ti`A;_a9OGzmzDXej2+4o4$txt@=6stn2$13XuIljBF5cg$?z6@+y1DrdX$hds
zzo|>oMq8Tik(&VS{A&yc_hPHoY}GpZ@hVeQe<wt{;ro<AfRz0EKMpDF#rYb(85q~`
zL+T(vNB)bc4jpz&@?+8yK%al-!$BW!L>{C70tDpWlz9XsR!bhD3c|Qlg!Of#>3Enb
z2vCuK4e9VjsKRbF9-$DzxZL4vFdn4}0#xMR({i}O(N;W04FqV&e`VRFA>K?pP6Y%g
z$bYMcYORtwbS?P=$q69Ozn1ioCuiNBqz*zM+2GX?S<YPXLMR|WK~b|R$!v(Navwku
z1c)fA=i(3%ud@%N3<6~2ziQ;o4QJ1P6}1q?t0k;CBlY*8)Ixw3-{-!D@6mbv5^Aw)
z@zs<=7_V!bb@>t0LV%W{=8hea>!{I>q7nj><lp0o9p>)pfFDBv1PI8#$CD-?+7(|z
z6$Gfrzps(1!tQ~dNFf9W$$w0cDkNU7olGeNNb!BPa`^H)P)ed#dMfo0#;+%=QzG@-
z8Pr37p8O{YQ~eX_vFo^XltdW6i=6e`1oaT0C;!=>R2Mnwy0fW<05$nH)ah#C{n&G<
zg#ax(JyW{oq?n8!2(oVP*RSM>Bj<ym_sp%8-Br9l7=8rk%&d&c3{D&QkDVgbw++bR
zPC0|zzHjCn^PM5iM(~3^Xw|jy7t=umIOxW#ay>KNHfwcHWxmS~lvbvuy7&kyK9nlH
zdMOzRVDt?wY)k%gMeO@nvvy{1!uo#f@~JhZtNY3`t>%J!C`XgOjN}B6`_5apjb<gE
zt4&vhy*WDz`n{D_1E<bl{$3KjnY;w>`kLS2cu^sA@QM|d4A2v)wfPm_o2#u#8+(je
zwaR?$*2?aA94aCzE~W|sR9us5X3y-#htlPvOq%LaQW0`@bVxPXT|~o(&p>s6ns+OC
z3E<5)o+G^YWKee=JIKVT+sH@&W6tF^aH`t#i!XE4W;N>$vJ$}Ro5vk4pzL&_NJZVd
zi?jsL`gVhiOpA{%*Y<G!6cOE>ue55nR!wzvE%^!Hzp0=IR>#UV+otSZPfkLS8O(1E
zEmZNrwJDv!H<Fc5G^;8^nzce!0$B5{A0uJKwC+K+Mrx*M@)C+pt@_TFPVFpN31GdU
zsA!UphHJt)2?-#~x9y9#SAC^iT0VZvFQ_sWNKOFxuN0M9ex6S!c9DDp@cGWH8M&^Q
zYA!5x(FRPbv$Lc|Zj+b*;=+R15HD2PH|qrNAuj>Eg;kD*x7qC=;pO&Rg=dCIy7!Zx
z0Dj-pb#4wf{I%IerGqUCTElJBKq%Jt-3C^*^l@2|_S?xz0B>PMIT~blkdRPhLWQur
z*qpBg-RC>WO8{@Vs8T$=AKzsRnxeZ&NdTqqjnk3iYNm!AFKFql?#4Z2CV;uHUQV*6
zyqB~D(E3)ZM@}$DE2^rtYU%sPO#pXcl^3~d4b~rg5kd-3pS%R{7S=R{ysS1u^7~0n
z0J-nQhg=-45-pWx$o>G?31Ba*p<>c?of-K29V8|coor2PJN;c`CxG3z2_P4zo2G(I
zRp|Bike&eg!pb(i9(>wW;{1K2B@~(2wZ`sdw=rFA;N?{_jQ9YF2_P=4g_8KzCHjLT
zB!IB6fvGA`(g}Loi&i{s1^-hO%7;l$C^CN|<yoitqogGipX&Bv)r{6YPF4a~3#-6n
zI=Z>H5e%M8Xnm6G1h5x2=`oKHaS+U(CL^K9%w4FqX6^pK=SWKcZDE}sH4Hbt{R>hO
zKv~$RiC@9i@%tt65x`eisU=?-({;hn;V;Qb0ITl}l9Ahj20kh;-^1j<KM}-VqXYsZ
z_?Ad>mSDFG-=F{j1QgcIMO&C`8oo(p0+<Uczp541QTA;z62Mqk;~VL9Xxi_PmH^tq
zI=9j8hUWbqc?m`Gst?J_Y^kX{zE55PcnfP5WC_mIEc}q{gd#JUue00b=*OfbfVQwX
zT5<DC*UU9NNKOJc3#&ET-Q5e#>F#{c3O+<u0$2+hC$_tbi_KQ2U1leXA2LwgtB1)=
z0Jrb#sgbM8ptjbekC2oA(!z!e0coO%c$D-6&=)pF4e9N$evIS<kQdhXP?Pbd`goj_
z1W*>%BAJ<ZYYO!VG84dDSaca?liVjsN+{C9cBZa450nH@`d+LaxfIC<Q4(FQ14vB(
z^;P*!<ed{;i9L`!1n}fsXcW(6%6i=@k`q9l^Pty|V=;+C6J0|cN<sn%b1tP3LTjaN
zH7N;&Qd-M&N05>L%AAX5B$cLoYS$h`QbM8WROM4s9z#k3D6cD`j7&yX=hl#o0JfZ~
zTkTcf(%gw;CV=^sg`_jGE_X7?2q4S3ucVV{)~KTEC8v^=0M=qc*09QCl<Fj%K~e%p
zi>dnzsbkQwj^qT8=RBZ|`Pq=i*5W28fKZ^z6AN)?lav6`Vv1}us?H@Fp|B)6mf+4K
zDFLK8PYLOawb$P^kdFYqoCoWg&$;+^0ci=K&3PPWXt_JjTK(EcP69Y{UW(D2ToG_A
zyKN#d0mQ{rPvP2Eu>P}!qy&%_)8K@p_S(-SWF~+)=YDU*&ym^raNXxJQWHR3O!LD;
z>nbsD^%Z0#6q;boYWw<1QWHR(^DIHc*QO1y7ul{NHv!zmlwmsC9#dUIPC{WB>{?#C
zj;sW*7SrxT*Vb+z8v$&^3^O7NYpO4E6DbLWWo4we>i+i>ISB<PGqRF4LrMZDi>aBs
z%V;%H6F_}^A-!;G4Q-xugu*g3xq#LrCjp$rbY1M#vljUX;45Ze6InXzl8gYdVhUwq
z5@#PN382h*%b%{>(-+NNMScSKb6#L@^4m52tI19PdodkTv}(!ave%N90NP^8scKAh
zCHQ*M5kOZ=8ye|0XwJLHNdRXt-O*@&L6g3Tq=do}8d)OKoNp#4p|FHTIL##CuaT4h
z(qaP0dPC%`q$7Z?m?q7;1o(DR6AH`H<oe%ll9K?=V&;5fi+{gOLIMbjsrM5rf4@UY
z0w{|ar+SwCewV}q5a+yAKv(#|`j;-D?<FGvjKvIJ0>;FG-}}i;0CzD1<dEBL+WwHt
z1TYs<0Xtq^`y-MPKw3=i%wAvoWAYKeS4{hDmJqDP#Xlh}0kp-$u%R^-{wK&tD9o{T
z^n8kZ1n}j&&qbF~_nP8o$x8rlF*PBF`__!z=SfKb<u=ctNzTY9WA8+DUS3*OyC^1j
zssUbKjeT@Aa&y0aG2gEK60G+Q*}=2rN|)0}A6%zr<5DK@X7$r|iA3K^;1Sl8_o}VC
zs7KPIW&R~SL4Z16m0=lZcRVjrTXzLCld2~ZM4I^KYa}Ir)Yp}<%q^8vpB<;u_zlt#
zK<Ash8;LGFazPydA&LAZSqWhE^}t7BwNEh+&To^G08U>oW+YC&1u0t#v}?aZLPAl5
zQgr9>DNarJJrWX%%1aVPj~5ZYexIxauwI+33@@#esN=JQ>xbkbfUA%aDfx$uS&NIZ
zF-u5)Oi}_!eG`!*1&)xKOni`R1hDzq(vjF2-31k<hVdaX62RzNQyq!1RlTK)&&IaP
zc<s9xbMC_=Clp7%r`l@c!z?_@BS!uR$q69$b^1q2Imc2i;zvnLC@Pbq-z1VCevFI+
zFmCpg(v0V&$Zh@lNo>jg9Tt1f*wv}cx7mi523b~*q4hpXwcgtYJ>aP-lvJL{QC_IE
z+bFE;jbJCI*7cuEE&-x08;L^)uWkOnX`TS{r`hIB|EDdzj^M9;eH;AMTNVD$TeV$x
zmBe*xQp~7_;k9#>*Vd-oyH@!Dg<A+$nm>ChFV|aLp*a@pfv8D-V;bGT`R+mkhs>&;
zoJxtZV|VewJDkt;>o+n+4m=+TKWY;!mo|&#l9ljte2H<|q*s+)xZ?ulj@Utp15_n@
zgM%KR5akndr%u@_q^wSWOK)9rGVIVcrrVx8NQ#(*CjBX2@$;cnLx7st;dq0LC(gtf
z^ngRnbZurv`(-ti5TGP>VALSPc_=YE>%=QZPzwQCVju1phZfDD9di`L5SGU=_!tm2
zo@*_~PzwQCUNipSjgAYZjHWfzM1ZDOk5N-?p@tJ`syuSS1cmm}iBv>@qBkwCqRDn;
zVG-|HweeEDR(CSh5uom_WmXrfjZURB0;IienWaUlrZXsu09kKdW?9Z6u#N%=5cq~=
z7HC&q6I4ckvOAYqnN^dWO<{zmfH14=IhVo+5VqW9KrO3FlXxCw5g=>1YYpr!sBqd)
zS7;k3jR0w{U*;I=)E4++n7Hf$>LNhbayJ8=xmL9@U2a!qOf#^N>IhKR^m%OxXX?%3
zGZxr59_!&tk2t-5?|-;oU&l`VX0Z2;+Z=Ml`uZFlo;RE{#enYqtm^K2d)j`HX?^~b
zry`eB|6eEeV)~naMBP4IqI{kI2xUB%BA1k!Np(b)`2SK$B0$pJ%P48K)~J<hIKqqH
zOVRGyN^Jyad*d={>+(RNo2!-GHGD(Gh}%YSgk{c4)kl%M+(AhMNP6uu`pY!3B5D^!
z5tca<<DDiEcP+&cAnuN3^jOeg5>?kz6#=Te9i~XBju-fpv2e;$kxROoFu$-h6Ja+}
z7y-h(onZ5nr@gS&`plrIJ(==U<WfwSqQILcMqq^k2@vS*p+xKz<+*O7c1yQfZdE$9
zruN-5r4gPQ(xz}M5k}9Ft+SLyfHZG+a|~Xq@zr*G6<y1!Qx;*FWg+PFbeVW-fwBmY
zwVaK(>X?h9MM@$-l6UMkh77bO8bn!}$_UGxhv9HRWbL6W0%UpTu*TppJyZ})`>Bbr
z%$aBn6GYi<R7QZZ<?L6OF|vrdouUX36+3|<(yCZ15~%GL7Hc?|Kg-I5YHG}4M)+vI
zemTc2uLE=Mn9bI@1col!K1VGt@b)KCL@DbSv-AfnQTXJgj#zxeYF1up*Xer$-Ah19
zyi@UoiNFpQHRCM4ej~LIpv5~CU!0bpb0%VX6hnX*?`lbLVpMlul)QyX2vFj$#C&<4
z)=Bg|6O9vd=DzKnU#BL*@@R^8^2JYYqb340`8$QaG!Nq^mHqhoXJUE4)IhqF{RX8G
zAno2^>I?65fG;_NrP*cgx2TW+g>QMPD70hlos>v`#0Q=#65IFyjC_oP;~m|7lxTc6
z)e@k#_f%0Esa1ZD`UueX_NR(IXSx1;DkVIXl&U_8={D$M{s&Y_fKvaE!B=F5uYve_
zL|Ye@Sk3bxN+Lj#f5<Q%Np_9%5h^1<nRhBb*9KM@b2)1=QZPP7T?FVFXI<^o<tz|?
zN`(X{9A`u4RA|@He@1D9r-JjGW%M&tNPt4`7J>r8j_reN^{cjGMfA_9hyX?YX~6u8
zs6&xmLcc&^1PJrb7mY_)q=0^zvIvmnpPd|!ENA)rD+(k);5h4CSBBcf^RKCl@Dy;J
zvvmFq1ri`|JVU^4Lw)fUUo@GH70ho@3;|-sGw^bWvCHJ&QxgH2##4PcHARZ!cd3W~
zMgEn=Jd2}Kk+UTJ6SWbb%|D}6xHh{G{x6CmEU&|y<?mmpjR0-lZL>1e(QTP)WhH&9
zK+4no`Y&_N?I+;xt+@ydW@)Sb!scelBeOA>({AVc#w;oJIccUiF!T0ZHS>1ckam0{
z@-%v03;F=uL#-41Q+l0{7N%*2Q-%&{k0tcz9RrdJKcgr@T9~F;&reizLyKtpIkgd>
zt-qWZIElBbs;y2LZ?MR=nZ`6WiZ&Zqrxcz4N}UAg{Pktk*{V8Ua}kyQMwJApyl+`m
z;zQ=`8ow0~#+7m9FDQ}#k=|ih_!z#5YIow(Cd|_w<29?yPPQtIo6C4v5#MgyjrUBN
zrWF4N6%wG(JL8i^m0N*n;}tIb8fPRJ|BLzv(B~aCjzwQcqRYwuP#R&`U02yN>u}vK
zy$JdU(6_uLL_(2Ycjmjn4b1z5@%IdhBtWEhLM3#4fh8p9?@0A>5Ooot>z-w;UgCX3
zk#`8?5g^Yy${mZ_%wm|xdKP67Aj>-|Fcw*;NA<+E2s@m@2oUD&Q;$WM8ia_bXHyhm
z*+r@C8Y1dB6h(k2@5pE@p0YM<h_>UXjj-(D6>ixOVJA=+0m8gn^~T~fy=g;Km8gmU
zRm)pRs9~FKH`h`Y0kUGRX6rf_dm!MfD%0ZX5Dgrvxt{FTOB|-10p8woF4EQ=`?=3e
zsq9^L)$okAF+4l)YDrbvAk=3gWoYJn#5hQG7<KB_(X|A)*1P_1o^-hu*TTb22Iqz`
zr9|j~nD}{uN(fNm-J)S0&tHjYl|;+g)Ixw3@03_^TH+13XgZgg2+-u6Gb~P1(Ag0&
z=TQs+V$xbiXCS5z0GyAQbm_3cpK2A_>`4_-8z_nZQOgj^s+|@k7f=ZSN|qs(P30+C
zHc|@#TD<R!82{#9uEK7WsM$m{gyqR2)ol?aTd0HpCBHgE6+T+^Yrn-Rf-a#T!t!KP
z*g+9Bmr)G?YW9xbJ-SySQm&vB!t&&lwS!ayT}eTN<q;&i%285f%ex4=ih>9bH08^z
z88j<A<Scrsg-jQv_l{hT_3JmVYjiCbd(Xa@b{+kqvzIDFSw*MlEY&HBoyr(?E?kn*
zCcd2a%a6(%Iyu+Viv)Nv_F<FaxOEpu{COh<5XLG%wOb;fLIDH_Xf8GTd==s#?*}V?
zB4L^m2$0~dcbq0ux)sj*BLOfO?{SHgSxO;5%Hr6(5p=XfL!BB3(9jyAhU!$UEpu+7
zVu30MP~q**IGsF7rX+fKqGgd<2+-mkHs!7*?8b<QHboG|Dgtj5Ny2n}wTB`I5HY^e
z3K2EFYbAczPYHyv`r+notJ7@Pux276ZleeSM2xTAUZ_^EBq9QCrvSoOGh(4ST?-`K
zK?wv%@b+eNFBM8cxw5-mp04hx>1lfL$(<BL7;mQF7*(AqcT)fX0>)QoH5O$Ox!h^$
z$z*ZHJ=8*gmhshD?VGE68&#f*DI)Hr2m(ZmuexY=rV$!i!hMuL7^?&`92PJ1DS<H7
ztdN778&f7W@23a?M2xS-QiEUd!UGgQfPl`}x)s*^yy$obbr8my8{tq_M7)b42oTX2
zn=|wXR}{R53J7D(4r^d5I^IVegt6+d#<Qa11Jpr)j%$25GTW*w&Y4#eS{X*N_5=O;
zCXQi01eV^jUQSzP-&KnnuhwO!RhBSromS)4*m<?#*wGe{He!w4DSsL}TKGrkBLc+6
z&SE!rwkKnDQhMXDJ1xdZ9joH7kCB%E-kI!9@{JBtd4sW#F#jo;31Ifla>VQnn_@L6
z7TP}}EdjLEf)i|3A%yrdBqof3*tC&C{O2SljKR@7qFhJx7f4GO11$&qn)b`2C4lz1
zzWn9s+vZJc{qKJLI#eLNmFCah%1hKutUlIeFr*Bi-ndoO8=1(}WF7i+iroBZoojn_
z26A6{GzrCFBvajata_HQ=dXd2jd^SeIqP4izX(X?>_8@Y^SNxSvN$Tqz9V#lJFN%%
z_1&cYCRlsV+98)p5pO?#=`xf>IR8%Nd~YwvEhw$>_B`SAs3hy#^e6!yjeYGbtjaxB
zQz|&m6EnzFZ0zG{qr(0jvJ=4mO0Ofa5wMB6b)l@zoX(Ju_7na3TIS$Cfv30n5_7E-
zoSE$pesgcgtZX6g?p1jg`y@!{GfY%0eZo8WP`~~>YX1SXA8~2JHQ7Dsb6nCILq}Oe
z3f`(x5c}rDz!Y$5%-l3-{?VRvkl`mY$t{Wa5p$c6R(c(FQsT^UcfhKrw}tvAq$Ysc
zyN$zPY*=d3m<st%NlpN{cL<&%d3;7$MEr~*2oT{d=sAkek)h-F=VT{<-8+|@BYR^0
zR($ZUR6!V16qufkkpCOW2_V0DX+_r8U^*OzpH!KPoJ}tDzaTvU^xme^VQ|<Ipn9=F
z{U4+zj49>eT(!{u7wHLO%5^hKE#&`0a>AI>9?nk-{V#0*Jz-3_u4bl%`Wd7qjLGe0
zPFlzhA~^x%-le=8quo6lEm97l6vDW&K<1%^`dOqVfO;IYZej*nR2)tf1gIEC#TU*!
z3;nZ6PXPTmntn6uEacB2Iblp`4<~zt{y5STKtGO3UrqB0^$DaVfZ98=nPUmGCU`|b
zi3$i~@_jh9EA(qgPXN7lJ4ucX&=Y0CeLA@bV{*PVohu5?q5{I06j&3vqTqQ{K!AeS
zCkn$+OTFD}VEu3kb!L`n-01E7`ehuMoehTGp|9Av?TXSx$`0pX&h&Ngq88L>j8-rj
z`??y9d8akw5BmCq)_v;JlF?mPcxg|4uTI3DOCJ#+**lW8ET(h^t@{+SItb6AJdczF
zP{uw2n364?L1%)pxyaYGEW!;WBovZHquHXofRqGKdh0$*`%>H*o~FPFhF}%KQm~N<
z2vBfS)>zCGQZl$yLkvT$OTs2{62N&~5uD~&MG4(4WFvs>+Wgs6AnBA{LM}ovDKjyo
z*)Ag+0c_q5%TUoHdFKfqO@0N*2_R3eHLHy!)tdVDetiRL%^hISwdNLOXK<|<AyigS
zYd)xI&DdvJjYHd$;-<)hsUdFe(~s*vwc=fL3;~Yut^nmgH#uFMsdVQtO(%}Jmb3)W
zdS~kLpjD~Wtk;v309Nm0Q68+dPIaN&uJV(non}k3-$-@>*wfoXlVgLbPjjE0vy)(N
zS?R8jnE>YWqGv1)$$WEle<In_BqxB}+gZoAL#x&oMC8aYSrSNJ+;BhGuWx2?oC9m`
z=qrqEv!i+^PrYNo^e%F^t*VX<Eu)D3LKV@jua5Sc@D*0i6W9udPtQ+v=#knKdgF6V
ztg}h_Zl-GqNQ-wM>@k~?!=5Mf&yq6>wS6`0)e{vBsvtmxcT&P*GY1uVK3t^SLMa4D
z@xGZ;pcGvYwPQL|Lx39Z`(*{HF|+mJn!OZ5Sf*T36Q?5OR!Si(lN2?ZCsKZuQV7c>
zMP{``%4;ZvuuRcnCK^S|>nMf*F|R7Tic8cili`Gq$aw?h5SGa|X7WqKypduE%jBDI
zB2eV?D2K32a>A*3k@FVHAwbSu%Mdy4DQl7T>y$=VCQor#tG=uya^6Nc1jzBe@mpZ?
z5MNIfQNKY^1c+LW##~Lcij?1?6au7pPb@6ZKi1T%D0(Lq5tb={!l_u1^KQx^K#q4m
zet{0sQ?sJw_o#)iOqpd()rz9ury>FrEl2OmtdfhEKcE=GGDS|fb}Vu}L^*_I@{L(b
z7BL^87y`t24{j+ij1$XyqUvK*MSv>r#7MJ+3HGJ$hjKmEub<B$>nFh2d-gWkHN(~I
zt>z3i3v$5feF4~IQ4LpV6~onuYa}J!0l3eAZ?NjTpU2>0$^+-{>C}9RP9#9Pcd^K6
zDrI2kykCA)^S7G&v*ad#+xtd{)7A*wdN3+k`FRQ;KtR*i6UtqH8T5&SFH!;l61=T>
z?h@i13z6~_N+Cds_toFrr33?V(ePDjAdEF6)W}x^e4PRaV+{$@5{ZPrr33;bcz5mP
zo)2NyS48|BMG(fC5vp$~0{(#l2oT`ir<}VNtRAK4_($p>j5RmHex!)_XNn*|gm+yp
zcW3C{qbT?R6%fXn9af)Fbo_`q2+-l(xUK7y^6qYJKHK_w?1_GT2b=l_!P8r<Tldl?
zWsR-8cjI=<j%wg(3l01gs)6^mvW{ncZF~IIaA^(2SYO1Vh9u%4dW-<w-gCX;22&c?
z_^nQE^Jy{F-kbH>7G9?iO%GEO0h+umf1GG!O{$s~0gq4s0Rp@&f9?WI%P$fhr33;b
zcw7G5CB$2Pk@6U&5Fo|d^5-r^8`L53I5iN)>JHWLn)uXGo}d&0q<BB_k-Iyl=5e@!
zIvu;xm@ac43qRIZmem}s>`5vkK$&;j%m~Uzs2?}g$BGw&k^oBYE0;M@>TfkkOddd9
z0(iY+qP%#u9qr`<NlgH?cNsV@YO79IMP>q+z3qHn%+9LdP%0pdLxHpOt)>D36ciqC
z>P<`uxFg6*7zZzXucPfK@)E#XM4(4MsiH&2l<i|kO#t=0Z~Qw#xVfmKWqb|!3E(fH
z6?XFL^l0y&NC^Z;D5AtUC0J$tWGWy)f%gQ@yfeXB_D`h}!Z^brQUcE)KVh8wk&?KM
z{Dg7lgtHEupb`R<cwfICAtu5;yEbBKgtJLZ0I_%fRj$O*`rur$6Tn{Vu)rkSyho~Q
zgYzhW00Bi*h)KT(2LVbOw1NBt@Ovjc@^!znCb)n)2;&QbNIkHT?1b^LM{0phWG9R-
z51e(t7V02Chj*Ll2(e&_fDZjjNJjvjcjI;rbaL#Z=DduYgbYb+mDSGZc7`p7CTZr8
ze*L+e&e;a0-eKF-Voj^GO}6aIHpAx)==@mZ${Hqg?pG5!g9c*O!vkh?!h1OsGkd{B
z{SG>d0A~%VnnN>#Cr!e8LrPYQIQpYg;{h1LzKiSxuzMHV;(nK`^1MNjxHrPyu3{Im
z&|XVg0%!+KoP`M)GSPb~^EIf&(wJ~xPi_LZ2Xzfc=8jjxqTog<Al%jOp6TC(op9xn
z(%)=y;=u~F3V8`gxpxI3Ki0%aw37H~iXcG5pw7UM?vExt8S=9fK!AWj(*Su02&2AE
zW&)VKFRte3|5)HJke&egLDPZ5C4A1DZ-SYw;HVud1Q)4+01dY<rFPC-!KP?%2V|R)
z2$1C6aXC`1q)CEdyGGtaIRwZV)K|<smnOqt-A^3^=<x31Da<Xg(7laf2oO_DyNs6|
z>~{HfQW8K}OfwNux&!kLDj+~XF+GEbf<zqNNp=F*i|H9e*u${9o3sSb7Sl6`(8i+d
z9&!`F?R{Hkq>yK4sMcsNR;TcGlByU@PwZZj6F^=}d2^9ZVnZ0SzFci^_Yfv8rIEgm
zVh9l9-QbwJC)~xLPb~y!DW*bnIwnyd?xzj{bQIKaaYRR?Mt*<-2oT_X=_vn9i4~G}
zPz3=h2F+m&*FFV14($T+E)o+!?A?_-Qu5=(EFAhbwOkh~CGVjk0u&X~p-L!9MCJRa
zfdCEOSK@N_3T4Ec@c{}UKu9sgG~o>A;Oc|aL4b~8D)EGlu=V;d$q67Yrqhrhj}_04
zQUL)9is>ogh!MMBew>s9P!`izgp`Ad<R__x04>cz#uv60M?v^BB@haWfrtcW5%?Sx
z5TKx#j$=eYqDJ})vJ=2wOvf?89u~bXk(L13Vmgiy+E}6cOL7yyT}+#Zk4LMo*w{ty
zYa}LsxR^>ePVDZZeS<m(&{0fFn9z}kyKhnh0UC;__!An!==(Ow2_P?~;!lvrV(>du
zK!AcuAvK?Ta>b6n?~#-MQtxZu$SJ-?F<fUbN;;_W|31|apr)Al&A1vz_5VYPAV5Sh
zMZpr`Yyf^t4FqTywBDIRwj_$;gXAZGznJ>a@<CV(A0jaU#Kp9H7ICZyK1_B3*axk(
z4d?bwbziLW^$0l$;4Eg^Ai_DQ06t1F1c)gn_G4lk<?k_SAV5PgJ;102XYqTS5(tn`
z%shWoLZb9NL3#q{2ko>QISeE76Hk(t0N!F6;ApaAWpBkxKu#zu(Og30s}pt$cmR0`
z;4P*H7UN|ZbcFqZ)Iorbb|KAwT!%CCS5XE5GKwjEaT$s5Ka>&(kWkD(ATA+ne^!&5
z0PbSu2;<zbVsHcn5FntKUZA{=WS4=XNJ;={G5xM6siy!OLlFdsD5mYPL^z{=4K)y;
zp_qP`r6CdeCz784{$l!F7JnG`CzF@};$r$;7I7@-PbE76?1Q#i57*#Lq3)k;$~kFv
z=$}Dq0;mVQ?UNU^rvR*@6au6S+Hjnk6lXD*pb`R<6thr~%#Y+gkF%+Q02Rgb!W=5X
zB5^M137{{gK622<3dVWVK!ApV3P!Wls^TL&I3(9D7#m1U0ChnHBSGyc7#C0q0a6Mo
z7)dG4g0YcG2vAZ`!AL4ev=W=Bf&di-6^x{cuwZN<JpuFu6^tZ(tYBP14FqT?reMtN
z$F`pN<}Cha7mUkDO#pQ<(U_!mPugBVB?KrbCK??|647`iRS=+}m}qpU2&3^T(i1>m
zOf)*^W6^jGH4vbom}u-aYPWQ8ntV6Dc6S}A37{?}8k5xSXuN?+2vAZ?G&+<dqVXoG
zAV5Vi(dbYSM&lIe37{_~8XfepXq=%20yGpejniuGl{0nQI99i9*N!!k6F^?fTC$7W
z9g*|YLV%WHrgofK5;57N4gz!(GpXRz5k_T;0tgULOwn`-h{a`>DhN<fOf8AImCAf&
zcNJ?@c2w>oHK8yEB&m}FnpaT;0V;~As~sw0{n)p){$Yjur}hcHnvw{RR7@}5A;~=f
z`dUgMKuR$+w?j%;MqW>P0_cmWxgGSe5^@(c5TK!$nNLo@qkfX*T)T+8iQEKm7gKRN
zxIF{DH&Y7%T8fEEmzG#bQ3d4JD1`ti#Z1e)q$HY<w^9ZHGK!g)bjb)y$J@zI0Dmzv
z#4i3=@%T-OAV5ShFaCt@0o#S+x5-QZb1?y#V4l<)y3H9lW}Er%PznK3irFukl;SKI
zze^#6!a^b`BvCHjOA!Q!C}!R|DIzQt?<YF}?8PjWCD~(T;twf-013r38PSt6>{9VZ
z<R*Z-n5_#AZeO|hV~Qa_Off~&CB|7Y{)AEpkWx&W;gXUl8=s&I0%R1^X1HX8rQ=iN
zCxE}0Hp9gqD<7Yw2m(YDvzNl%o%%d^35CT#jMqH`{vu@%AfuQXDlQ`thF_rs0wfeO
z`i)D7g}_%SfB*r-RFQE3VHx;3xe4IDX5g-lZl^ZCq;nMHfqwm!JVoJ~VCg+;yE#Q+
z7j5xO%yrpml_i{@@W8dAcyK2xRLs$h@dJmxGQ?;H|0?S{t5e-pySArVo~})G%Ibg(
zoq%uCR|JT@HoNG7FBU6id|-=|n(I5{B7p10qPQk`bRbUfk?i>%83|zYe&*8n&3LQb
zSz7AwjrYa<n(+H1B!F;m*e^9BwL8tn>B=+s&Q`N!xPM4)0=Nh7Vi}furqx`44)l!0
z!#^e|0i?fDSf1kiN6q&j`3T@EE{6C)Jd?tQ$VdQVaWNEe>BA%>6zbB&=Aw4#Bjh81
zZ}0}(VdDmT^s453l$-=`4u0KbSWYwv!FL=bS|1}V0knhP^BR`cs$d@{C81DCw7y*)
zPa~;(f|LYMdcRgVbgkE(>(0!~SIaeg;CHUuxY@8iNmc?_^ADrFl~$vSZwhPKI;ATv
z04D*Q-jCf5ol<-pqEq804b64{*$7}8yvDQC=&5u&&GG`iIa-6@scO4j?lfm-`E3fx
z)B{OQC?-?8v$NH9r@V+$V9M><t%h|KSqWgxzq*~RHmdmKXjN!+Iu9iy0gU-~NSb@F
zzo24jzSZO+fGhvjx-vaoZosM4Y3X+%jw&rVLrU`V2yzp^oqxl*yN0*or_22In)d5a
z<RcWx$B(ONzGKKo0AK#iX1lvvzA~yl-XacNLqY-w2XEtCYU!M*;TUS3nO<(r@b&iH
zRi582#3z!N0OG;Jy^)A9GgWKMw#z&ddpC-zk#I645FlajtiwnW=5bn)5`fm#@SjS4
z0{HW9&Mn_#$P+YlXONaK23ibbOlsGWmH^uPM{8DU7b?hcGzL1<Cdf<x^WZh*k@A`2
zwsv`Mtuv>>KGH!wn<@xUk$+3iv)&h~3mDf#8=`Z`NdRa54UzgxahWfw)Jz3-9vKN>
z96ZswR9|DC+f1{yfG$+6+{US2E!5Ts>`ocKmgkxaO}34-jv3o+pcn$gT%G$cOZss-
z#4aEcp%5l~Hhb3eEjE&g0H*va4Pi3f#WHIxoxn|`C4hGDob^)k75jQ|nt54oh$wTk
zY!2QmBWD@hji625LMa4D@s8NJMz{2DwmF{a*I&pft4qPxJMt=6b$qdHy)U*L_SE-W
zXcLoHKUb4i-iFunyl<w(bvu7EpG=dKY^D1MaG!S_%4I3#NJ!W1A+i2mny_ypI|1z8
zHrHitcy@DCy72EHKLPySDc*efgTa>w*hK+^@ws1pv_{ykB|8D^-X+<5lh4^!`66x^
zgO*xTm#6C~gfPB1FcS>oh#SdI0Ka#`UA~TpFTjb83Uv^m!+V%RzB<Csw26XgDj<wc
z0d`f%yX`s_W~qQMzF2?)9I>ML>*Obl&jaE2v?UJ~sDJ<kW2%!EaAL1c|03B5<MY4y
z4!xwlO@0FSy(fF*TL#=85EnIjsD?1cyug8=IxqH<odEVRRnUn~<BA(@qYwgwjHzM@
zzj-eTZl?kQ6pX2>(C$o6SNG_wxP$zJ@p)hm=DI44DH9BLQUL)9yi=z+7mS*z749ZE
zVT|OJecJc;keo0+@^%-?EE0J4lAHi??^q{iw^#O+gQJ_vyMs))k5UL@l!7G+my|xG
z5Fq6>OC0bFH(;5xWMF!uGuOoAaAkorJCalPQxgH2yt57Y=2WPujm`U0YN12KJU}r7
zh`DV%4(hgX)D>nFof-BH>LEbSn3@t!pkvgH_jIF<c^8EcAjCV>n{O^*uDN_GUac^J
z@*YYcK!SIlTmBLn)me;r_5|_zKFT0K#+YiBFkV&pF&_B<r4YuKDZw%Qy7YdK5(tps
z-F265reJ1xY7P;KmlL&!4^spIBF5D9R-dSrI^&~cCydVp*7vDJ#K$Ru01;#A>V+St
z76qTA0s<6xU#Q7967-j;h5pl|CyXx_tj|)5h|f_30V2FrRCF6@FkPxAm@<6TDDCln
z{U%OyegO)4$M0%{+qp|y)q85C?P{wWcj~>!*S@7OsHsn~VCwT_uauPDHLM|Dmm*a_
z^rD_@4rb>h^<QQt5Rk^+Q$(7cJ{5g`MSTS5yZ5Q0&rGn2!oQ|M!c)nEY6evF{SEaI
zpzrNZ6%R@*;*j&H<}_BSbxHgdl@gvxd2J?9#g~6ig#;*k%TvXdc7gsbB@!UfJKrCz
z7O<X(m7^i6)abMQdWH4rKZCn>?5=2idKFiZB9-Y2Gr2BmTh*krkD7F+s!6l88F4F_
zs!{79{-NE24a1VgAJEAJINAF`X1bF-d$RoxMP=w3QndVtS_sRfMb$N;<tNlafEMq>
zray@(OJ4qmEWenVS=9WLY6wu{{rHsM@aSrSk|}b2MmdD#a*nCWM9t5sh5$8Zc*|q(
z(t|8;_v;s+1oobx{^&hpmwAuj<bej%qbR&pRd{1hsC-lJSLlED>(eA#Y5wf3+)-U@
zwy?bhijTDkBaf@cKy>p!qJ`#kcb-F4MP&Z$t-M@c0MTYQ(QK=-IOl&I#OP7C_3JNT
z#rO+2yLaHr<w>TYG|04i4oT^#q+IBJAl!SPQZQjvEk=sYz+F`G1eJujchUg6{W_n5
zj{Qo<6$9?Kt5{3Gq-@Y#sI}W@_RC7IGGBj^0ZD*sE**iPRlTKKYgKLID_#oY1Q_2C
zGY%mGTxjm-*UzK-o(?;`RXZB9rJw+;NwKM(g8S}pyU$pc;f$Sk!6j}8X<<7bwuz`+
zh1en@n_`=2l0?)>rjURXo^Pwcd|8M40lniTb3?y=4%2rC(|6EL{S-s>IKM&l3{v+-
zmAY76qTlywwiJ8#XTSamaP<z3{L(x4YV|cy+)dWwZPxHk)f?dR;C+kYJvHs-wWe$<
z(v{{<tEk657#yMFH>}E$zu7Xl%39=>*dzV=1U-8sJ-d1n%$2UTlKMQa`j{b=bQ(j_
ze?uibwz<x)A{k*R_sWVfgN{3~ME%hWF#_@?_F6=WokTO5a<Af4yRd}vSW*%|8Qag7
zVrD6nff=31<H<+>W9%fH;MVq}BUkKNFXi6g(xm>E@$X5bCV)EjLPqdRUexlcl(_g5
zvJ$`=>zHE~d>i}Gz4eB^-mjm`;65ETdMmG1&o~<Ch&A;DBKY@J1RuV>y05aZh{jmB
zYSZWR>!-tJ?*RU@chDAnl~$i=-K*|{r4K1f&$h0vMLyveEN$#S{a5e6P3mV@JIE00
zd&0kM*5|I5w!AExd#17Pbh5E~zSg*Tt^7Q(SX->(&*}s(_3JOC_9LaKpV)3LUBpZJ
z*OK|QB)>w)b36pf7!vqtmB5oc_pJ>&n?k<Q47Ym0zd-T=-^2KlJX(kev@jFgwIlzY
zuq__HGrVVOa8E#^FPC7Vq%W5$(LvujA2-Jj)fVOgsuQ(_bY8RrkGROXauN1b^?Q*Y
zOSMKxeniSn@mZg0Hm2sg3}bEe;LYJLz33mXa)h#?qEK=cv2!gm^FaMqv;%iY<Zg8v
zvgunYo7P0G=@{AH?6!3B#N=ufI^oZ~)e<qKSK`Ka!jz=FbCu4--s(i7TAiNgG$(2c
z>=A2;M|-aJj=lzumG)Lke5}-Imh@v`Kq%{r^G)d}OmI8uL}enJ5!I2<nwXlew2e#7
z%zS_E%<bBAiKY=3J3FoJRHuvW%sPNtC1o0#UJ`X(z)@)+I;LxTYSZ1yJpQTocuq81
z6SB3+Z21(|u3ze7z4d{@N&|6ah)S0>I-8sG-GxS}*(zO(vZ4QEP4w)j(6Am61-^RZ
z=;$-SQk8M(!I58j2VY{o_$<AllcP`S9`pp-1-#HVA^ZQal|ZPEa$oEnb-C(xv+IF}
zN|*DcfqhI!Fvd~_f<L3d{=D_@N_Ah*g)p^4YeK@V&9WPYa{YQ1nv+>urr+2*l_l8J
z6Rpy1B?jvmZI*4CE78P8iaa<J&=>P4Y>%tLc0_n-?P9mJ*leRo6$LBJpQr})1(-TH
za=)mrwGr-7vHEdUq>@*A&ygZkYa^7S`bB8edb_*G5{l9)*14Cz!WTqD+|iz^y`y)U
z$CUMp^<$8JbVRzCl$lgx@sQ|Gy+cHrEM`aqMW03ckMfN-7x`IQQFBQ2r`{niuXa#M
z)eSLTwh-_aPZ2QBMt|xZ!ulVcxtKTL*<&M`bxmSF{;b%q!BGhjBgaRK$V3L)DE*vC
z{^7|By~B4c!YR1f#F)5ZO~e{s0dN>QEb)8qu*=o0mZ{SsrowbAq8+TXCD&(K*ubG3
zbzI6Fz2mm4^(LfxyF4zrf3Z9cH<ltq(OE0w1&jnGBad=l>>af$Iwz~STJa20jgppW
zOg=02YwuaArHUGvh{)qdm}@ipRX2ih(!q(%tg5HcOIpAS-p24L8Sd<zvNJHJ1A^vQ
zAzu`jgMW^U2+(~^6Bq{tfA<d39aIT}XR^GMVu_U>L#Osmmttg+s%xkpzved`b<|;y
zfKoL-A9iDpJ0R%BuDn!Tq{|PD-r2A7F4Simu9I#!b2>EBZd4W*_oIH5pX4}r^+4}P
z*QMT(JLLg1U6BVsd6H#ycege_ty=o_6gH|)&1s`YIIi@L*u>jQ7qj)=sc(nLXIm!u
zViK}k+gWM;?5(^?U%(S9bu!FN=FeW#IUCmNwMx^;ZdV&^ykflv{cE-;)76gJZ!^Ic
z&n7x^)d~GTzkU_{eb&z40cPIBMac)GT0|U1?p2j-aBqpmOE7NMgPCuuW6~5MvTmEo
zy0x+EYfbx-6nP}ukO?#{ycEchUrT6NV#Mp>hQr>Oatgj-$d~b?qbp80F6?AYh!?hp
zcl06`O$!!0j$}SB&Supqk_ibuYYjcgXkB)3PR2R$>MlAJ5y!>CRZ@B4Rl!}_hw3g9
zr9E{+)SapmYHmPkpX*?5v@s}|;2|*$RgKvZwg$B7maX9}K_&)QOXeynE_2o8Ug!AB
zW^|9gjM1KZ{ADhK^M&z5N;$XEraVW7&$h5*XnLZHSK!6Vr%Cx&H*1^W%`aCs?^^8l
zg8RbsDsMBI)qN%02RY}gPriC*io0By;55)gbH>!fsLM}b**=<$Fba&ms_W%8x<+!L
z#0#b7jMYXT=O<HEQGjnz1^5*It!ve|$p~3_sf@nB9Q+IEIxppU%(HeEC7`7QakL$_
zJ(9RJn03{+NRj0&rse7P)Kv*(UX`(Sa24DyO5tvG8xzW}&4$mlC+xsY%DuQL>0w?k
zDK9r0PDdZRUQewC<AgAQXE65;Wy*u!Vt*nDhei$b>wE@z^E#C`=db6%40~$Ty(Ut`
zkH*}@gp5VlG+U#Qjs5z1a!W%VxD$7?0(RUTZ}BH&OyX<tW0DjXG`~@4J}04BW}zm!
z?Fyn8;mzV^B}1z%$t2apuIPQt^&kQ05y~wkxrHImLdIK6>`UkFl!O3bYgH@LsNnQ~
zUi@>on71zU<hPRgEgYh6OxTRHMnQJ$X-|IPT~@<kF6ksrMp~%t`dG3Fc`DjfjU+ho
zK#;~#;(_22>zR`iQjLg-;KWQx{b7Lu^LsD&sbqeF!BWDYT30ni8P$W>TP*{RYWQ<c
z|6=-^(gQsyVNDfMEz%f!mMWFOuRZmHWok{rRCMl3G)1So;&Wdc*W>J^1)QBTy;%PL
zTf6fBpQ`_l<BIH(oor*@8bcEj5+bsXHDZjJiMbgw%@|8aM3j#$Q@+TSkR(ZxB(j7o
zky2!dQc9FkisX0Cd4A4oW>Dt)`~Cizne%v`d+s^sE}!!`_cNbk-p=_Sv<}W`q`%mR
zFzzCMXz&4Fs@Kw7WM#}rls;DnTWV-T@ZoLx42-bI5aKe}F1|rk*q48iE#o4qd&9c-
zPZ(k+%or1gQhu<?MOqRJ4wyr!P-?)qnJx=@NYMQX-gCqKMJL4j-wPC%?B7TIYusFM
z^of5!Z8w!@mLWr0r}-}@>0;)pP9O94-QkA&rg8Sh#$6_O9Q}Kac?IvA;E$QFtx*`w
z%lu~koS8ke_Qq&;6cXG~h}}_$*^!;UaZUGYU;Bo&cN1x@-+~=>Tl3&E0C_-UddW1%
zT<;xkxC4{Z-2-fEwa0($pIYWP{8!rruGz$OQ1ZX@(49AI02f?n+9?+7q5@n(=>vhF
zg`~^ucT#~c*O0U~s;$h`8+_i<A$T)39hxsg-c--z^RK)eTzO?PMBPJ(^fQ6B+ycS<
zr3(ZK1ox70zPm)m0?nzT$s$`+p7eChTvMrxo4eh**(zH?W~Q62YS*<BOST^ZnV)eg
zld)pvE^jWzU<Li#f~{I+C!NY=EX_4D?NN#=u+a5FfkGXEGfinvSnR7&^^C<{_gzV_
zz+i<-{cE0ocvlkKJ8uJm<t5oOG2Jj?aB}GN#tyDw6*7}GP$6xE;g1tS(hn=#D8V+o
z(p3%Tvk!J`#=j4Q@@;4KAQcOKUgDZ?pjhxj6Luul$v)8x>14hp&A*PSX52-v+5WkG
z?Np)N%l~DnuvW%>Wnz+z)9?RtI<CT1bqIE;JKUkk{==x?NmRsjXvScmi0jS{!TV82
zC$o{?nRjF?+;yfu;WfyA`xh7OPZ9aET5*YHI>enZWp0owP$sw=Gw)3?{sd#XV*LGv
zWZZAMb1+zVutf#06A2VdcQOWdW!h3cW0}`G>4T*fzHTf~_<E<cDY<0Ek~2)=28+y>
z5d--$OzfIMN@py@b)p*)bK>N`ngjWREevTNJP3YKcV{e0N6UYp7ZaNp>px!_7(Fc1
z44IP5dlP@)#L(Iu!Rr6T7J=$Iictgn<LHVH@!z?&H^rMl14DFs2e_)Qs6nt*uCFp;
zARpxf8*2LMs@pOz)aEv?(;-+?q3eYLg?It?H%NOxYKqMntcO2qZf^}~=|Ill-tAkx
zQ1$QCLwD^zZN|ax)Nu2XUpVco)H^MI5SotNosv&w75}H5P@X?DsL<2SVyB(gSJy_3
z4^|<U+MViuuFk$u@cY2Dyz)Qo%#AdXLd~;)U^)3*XM}b(7*IOIrv37&-MBoR*tU1{
z7EtdNum7$v?UnQD#$IRWU`y76Dc9?Mr^{TI+f(zOD}C)Kf=Ziri{`Wo_J?2cbst@&
z-9@jibh?3rnM$#PYfhI!>4pp@WJbmQvzK(5{$m+6{;|L9eaF;M4~T;Yv7o&J5ee4c
z|6qp05KV5F)1%Hm7XPoq5?XTo303X#`V*=y?C(4xEGf2M>`?tzn*9<l|K-9wOL1?R
z)6KEk%*^xzCw4=JgfSjY7&6d*7wwmo>NPi)WLUb{)(GRwrn`yP^qbjmYT6cl|5#!k
zD7Zz)kT4#m`#U0RI<NeV>rZ|BOS%=8boU!?Qo#(*?a?#y$My}Unc?!E7KFwQHLuP7
zA-8SK&=tXk*J<;=+Bo30vooT+`80E3>38bSVfh_t-zJ6x``>iJ{h4TyUyOaS;@4cy
zn`nY7h{IN{!woYA(&b5ezC_hrVScSTXQEdAO>{t1wCPUMztktme4gE0m4?*au3&0e
z+rPp7mm3Dswy`5y>T7pqE_Tz^ZfEKH_JK^a;(C4SfAd|iJ+|il3zfYpDqgR9ugM!o
zmo2S_{cOP#AXuc|$;~rSy{H&3g>%;bP>K03AoGpO{&Q^qFaN6<2ifoGwUsO1<i<Gz
zX_-PY6lbRKTycKIdS{|y{s*99{adKLoXo+#svrE(lb<6YZQS8r_x<xF*qsghk2YOX
zM1;ND1Wy=>xMp}@iU_3N+MWQWhwawx4Dinkf9@=8>)=b8+1hVo$4s=*y(=*7OB=xW
zeP!3Luv0hYg(>6dT{HNe!CnGsd(W_ydCh9W|M;c`+y=a7)92FCZ(whxZUevatuj-2
zJ}qhLZYt>>P>1>-0SbL2#eDS5zdQN^7kl<p?v$3>RL(sPzB+dxn9<hNWONS|L;PYx
zDAu1^vhO#WWTKMpUTu3gYOwp5QpO%F<8I1nxzg7$HQ+MXTKO-${)Y_H*UcR6hGFU7
zy14%~yk>?ueI_?GV!lARt9ex{n*ME$8`}8Mi~%=tVz62%Q~PBH{>xl4FLPm;+Ny$o
z2lhYPWv?h(!E{5{tA?@RnJdtpbHOpKEmULJe;m`+{VxmG0N0kE*#U07%<bhmqg}fj
zjcnb4`^V94CYy8Z(3j?9a_Cz>bIrN#IN0te{fPI*<KU*5+ugs9TJ3)SkE7O<K<=o4
z2?OmFo}4-|wW?R4z5m&L^P~Tyr&GOJCRN*|?lvj&!^Rq$l=)#(O--tUe_?vf{J;E7
zTR5=cmM-PBBHYG6CzHP|(7}PtAK_A7C&FC?-GCl~o<MH{cbO6+fxZrGi7_ta#S-o>
zhyw-);(<iLW56Im3NTbK3>YC82|Q`w0aL5dz*q;iR!_T>H=gjbf{DOn!4%**!F1pS
z!3<!QU^XyUFb{Z1un<@*SOUB%SO&aq;9=8{6~LPgY(w61DQ`95cLZyJ_XO*Kje-w=
zErPAUcEJu{mtZ%rSFjKGRPY(_h2S7?Sa1aRN^l(bMsN~1WuT2|`}e?)4s6@cx|H`5
z;a>#50>29`02c+9fWHM-fSWtGeP;Fl@-L|Df*e3@K_1{%1C32J^8*DP*lHGbDX$3O
z;(|?Kb{DrBh&Bb3Bu5zswtx_q^2!meXrP_R{}BaLabWXTb182(;TnRyK&W6p5GFVP
z)D|2B!UczcI)Y<BJ;4c}zThO#KyV6ZBsdK;7Mul|2+je`1m}U~25Oql_ycI^z;?!i
zF6CV!+(z&>&`xkuEqgdR2(keYf*e3+L2jU{ARo|Oa2wD=PzZQfP!#AbC;{{_P{OpV
zG!X5;wk+1Ayb!|u1QmcdL1o}kK{X&=a0iee2m>Ay+zBKL>HsN%yMZBs2EZ`Ey})om
z6JVs^eqfZ~0bsP?LEtGtTVR}^12Epe-KPIK1J63J{TFa4uN&dXf*!zB1CgeH-oSJR
zwt(kd%8MdALl6VZ6!ZgT3p`+sARd?}NCXxLl7WSS!N4NHFkp#b1h7;v3Ror>11uMe
z16Bwo04oI(fmMRZz-qxXV2vOZSSy$TtTRx?^zdxpeFwIOH@cKJm+&UR0$_`Q;--K_
zz%~cAfE_O7y+U}WU>UGm@H+6ZU?s3m@D{LNum<={@GkJVU_Ee9uo3uDuo*Za_z*ZI
z*Z~|D>;k?Pd<>j4P}OwCe&Cb?+ZjK&ly`vekAj21S;1l8XTdSx7r_bOyx=78yWkY?
zhu}1DQE(RcOK=YOTW}u8($Tf-0&uh7B9KjR8OSckQrq6va~inM^iDP)j|1B~`CQ7&
zK{&r4H&8&34=5zK4JaZg1QZh#1xg4?03`*bfYO4pKv_X~pq!u*P(e@?s3fQXR54J=
zv^@-{?!dPF4wv%oBwW)#Et9`4P}_mcAMR3KeZqAF4S{-s#z1{RQ=oyMInYSZ5@;-F
z4Kxw71DXjs0?h@Tfd>TLfL4MYKx;uSpsk<}(B42r(-|>9gag|don6Z7N4TrN1G)?1
zfgT2`nG$>YfBA#V-VSVueO$_mA{=Ajev?0?w$0zqfz2Q1Qr=L)j|zqZ@q#CS1i@(F
zF~L|MSuh?*5j+bF5ljMx38n(W1=E3%f){{Mf|<Z*!Hd9Cf_cC=!Arn+!6M)p!7IQ-
z!7^Zy;B{b%U?nh3@D?y#um*Tu@GdYzupXEx*a*xPYzF2CJ_P0ob^r?myMTp)kAX#k
zPk<$Y&w!<ZFMwr&FM;KPqreKmabTt38(@{-J7Bfo2Vjlh46s)4GqBD;NpoJG2i|vJ
z&+CmY<y|1WNpKO^BDf5ED9CcBy;8OdvH~9ovIDyWxqv-_yue;Te&7>9LEuwC5#WHJ
zIPis_BydPj1~@Dz2OJet1ilhf0Zs_21K$Wjfo}!1fK!5S;0Hln;737y;H;n_@Ux&X
z@Qa`+a9+?H_+8Kv_(RYdxF~1`{3YlJ{4MAVWQlO6PdDIZK@T9Cpcjx`&<DtApp?D2
z19=?SQ!t-PdHo3I7kEGcK|D}MkO&kJBm>0+gMku)VL(a22%xlJ6i`+$1}G;O2UHMD
z04fP40#yW)fog(jKn+1E5Gt4fgb8K=wGA{e9Xc1d%Yp6Cx-R7{AbhvrW#Asc5}={r
zRp4I1a^OC}8$eURD&T&>+dvD!TA-!iJ>WsX2B3{#6VOhu73d(?4nzoc0-XhWfUbgl
zKzG5XKo7y^z{7$=KyL%3O_v`9q8!*Rk9H~VIN?~qH$XqZcR-whJ57nFfdLL|i345A
zJ4-lGa1KZkoCgL8E&ziC7lEOI%fRD;EaCQEK0=TcctVgJcv6rH7$e9Fj1}Yuo)#1Y
zCJ2fE&kBkI0YOP%vVnU{ca;UEIk4R|-KD(pgr65w0%i!R0y70QfZ2kYz#KtsV4mPE
zV1b|>uuyOhut?AdSR%L&SSn}+EEBW<mJ3<|D+FzTm4f!bDnSIWTF?bpBj^sS74!tw
z33>zT1yR5TK@9MLpdYYV-~n3&@xV4gBCtb{4D1vP26hXE0UrxS0Q&@^fc=6oz-NMS
zz~_Pqz(K)8;7h?|;D}%va7>U292d+0z81^^P73A#-wEae-wPH3rv;0FGlHeSPX@Y~
zi)A_RivxSHoOdbj4Z^<*Rsnwq-UcoT)&hSC-UI#?Yyh%!a+TNw+$`7%WD{%$vI}+s
zIR$%w+=6{TUcslpt%A>i+XRPzf`TJJVZm2GQNh<halyC1?Sk)tQi30WGJ>Cg5Wz1%
zdBJZ$MZq6HWx*w&s^D*+y5Od}><#=5K{lYKAO}!OkQ=yDkPo;^a2rrpPzbnNP!zaF
zPy%QuC<WXrC=1*tC=WChR08f7R0UcHY5*+-HGu~OwShK*yMT6rdO!!kJwSw@5ztw1
zAJA3M4CpRs0rU{G0v;B$0eTDC1APP$Kwm)@AV$y~ctp?>=r8CEc!DTkfFK4KDCh?y
z3Opc55DyFzBm#p4$-q#-VBm4VFkpmW1n`7l6!4^A3@}D84j3z#06Z<22uu)62A&m6
z0|J6nV6tEaFjX)Mcup_}NEOTnUJxt<{v%in%n~dGUKG3r%oVHv<_q2gUJ|SZUKYFq
zEEcQ-UJ<+xyejwrculYccwMj!cth|J@TOol@RndN@U~z-@Q&aB@UGw>@Sfl>@V?*}
zuu*UV*d#a!Y!RFSJ`|h=whPVz9|_I@y9DQfJ%S6sUcp7+6TxNRQ$dzG_9lHmkQMks
zkR3QA$ORl0<OPlj@&jK93IZntMSyPv#er`HC4p0dGQbala=?#*iojVx72sz<b>J64
zC~#g-3;10S4*X%DqZz=|11>qR1DMM$<=sR0il7m2Q)gGeeLz-0GvF3M3m}J}6_88N
z2FN3559AX>0Qm)7fC7T<Kp{a-popM1P)ra7ln}%KB?bL}(gF`CD~Jcm2@-({f@GkQ
zU@%ZcFbt?B7y;A}i~>RhV}LNhIH0y*0uU~k2-Fcw2I>i>0rdr`Km)-Hppjq}&{!}B
zXd;*oG!rZYnhO>K4+xe5tpu+DtpzK9wt_c-_JY+wN5MNlC&4<Pi{O2ro8SZBA;A`)
zr(he<OYjj8DcB7}3HAcfg8e|O-~iB1a1e+S90nd090TG7Cx8UON#HTTDIi&J8b}eG
z1%?RD0mB66f#HG+z(~PGV3go8Fj|nMuDxYHCCCbl6J!U*3vvO^2=W3G1^IzVf`Y&l
zK@nh@pg1sHP!f1vPzIPGC<n|GR0L)VssM8Y)q#0}P+)<e7O+qd4lEMX1(pcv14{)B
zfn|cmz;Z!TV1=MLuu{+xSS4r;tQNEb)(AQRYXzNwb%JiddO;6hgP<4ifuIktSr83u
z6+8lL6T|^K1OtGbf&^f<APM+bkOJ%z3<dTJh6A4oo&Y`<j0O%0#sXgo#sfzL&jQB;
zlYrxbsleBQ>A*?B3&3}RnZWmg7lG4)dB7RLOTbTpMZh`1E5NUUWx#KO*MSRymB62Z
zw}4B6HNa)TyTBE}df=umZv3$k$ZDX48PRM3vOBONnw&1>Z6lmp@DY$#up78luot*Z
zupcNWH~<tD90ZCA4g<vn$AH@fCxB9dlRz24DIi2}8YnL~3se-G11by7162)_HQn_G
zP{V=ku27fqE)fnB{0-DL(B2eqr~jA#{J)L^TR=UR^6n<wz(8-4KYKl!|6T_+|9vjy
z<s#fvkQcaLkRNCvC<wF^6agL-6bIS}N&@W!Wq=NXazKQjBG6e-1?VcM4s;iU0zCw^
zfQJR)KyN`^ppT$F&{xn9h!Hdf9x+he^l&pE&VlXWM_tNmK{#H}3P=#N0Ui^y2a*L5
zK#HIXFhtND7$)cm3>WkUMhc>UQGys?w4fjGl)wYV3F3kAf<)jMK{7B=Fc_F57zRuc
zi~yzyMgh|ev^8D+6!3xr+vWdpDeq~*vjoooFA4&{T)`AzzTi3FCBgH+%Yy#^iv_cR
zR|Io`R|N}z*90#EuM3s{ZwOum-V`hc-V(e4ye(J-yd!uUcvr9%cu(*i@V;OJuu-rH
z*d*8rY!Pe+J{0T(whQ(E9|`sWy9A#Cdjy{Ydj*GpPXtGRPX%8A2MpY6&X#Y0gAVN3
z@}*08-w{3{_yIU3I0GCP{0w|8_!T%Q_#OC8@F(!S;4k2`;0ka?aP!^v*8P*<7T}y9
zC-AEv5Ad7dR^Wo50Pv@vFmOpw47e<~9k?PW4cye#^>7G~RZs!A#XyKT233HZ4(u_=
z?NVNK!g&Ruz^#H>z-@wXprD{GP*_kOC@N?O6c;oGZWlBKN(q_+WdtpO5J798yr3OW
zQP2^nEa(hWHPFlSPIsV&1KT^HF6H$k946=u)D}bm;er^Tj-Ve<Pv8Od1@S-wK_bvd
zkPI{y3<jDAh5^k4BY@_DQNRO&F+eN9IH0v)0?<}45oj-%40IGs13C#(fi8j>KsUiG
z;32^rpr>Fy&`Yooh!iXaq6ABUXah~nkzNiw;=ms1{x0RcLD&<l0tN`)1_lb&0*Qk6
zfF!{NV31%FFj%k^7;2!0spc^MFMpId!hx;k6E5YAB0NU0ivq?P=xYkt3ygPQ3wXw*
zy#0hH3Jw613{)@$90H~~umwD4Qg@i}QNqtVu;Cdl<sBzHQ}7KiTkst)NALqMPjCiU
zAov+rDEJjvB={XzBKQ+nD)<XnCb$AD7u;OmcKr&$Ex<}aPGFTF53pKrE3igT09Y$1
z46G9r1J(;}2Q~;w10M)NfX#vmz*a$JV4I*CutRVMu+u<mb6{%$dmPvUyVs?>aKfJm
z>H?n%>H`M^4S_ENje$dgrodrAbKt0;CGeG?HE=@E4*14EebbN#;5!GlA>X@{*M;zD
zL3iMcpeOK?pf_+%5C!}yhyi{x(9Be#Kk$bGTZxM<<vmLHFTp_IZ^2_gmTs=ZLBP#|
zAwV|4<3M)7NFb-+Ng%i2DIl-lY2a4DGr(<v08mgc1t=_d4k#*k9w;vO4{*C+Hc(11
z7bqiG0E7r$2FeST02KwV0+j{JfvSQxfa-!(z#Rtand7(y2y<YMV{Mo6-X$C^SP#?@
zYy|2FHUsqq9|8>oJAg)lT|i^O$3PRoCqOg7XFzko7r+C8FM(Eqqd;rHaiFb%2-6uS
zfesFAXGFM^cZzUl!D*nY;4IKxa1Q7pI1fB5xB&DPTm<?EE(3i9S?;kn@)$u@;1NM~
zpuZp&;0f{q0|fbjfr5fSqM!(nBq$CH5|ji63(5dP1?7Op1r>o2f-1lhg6hDNf>2<L
zpcXJz5Dq*os0&OG)CZmwGz0>I#=vAjQ(&r~Iq;mIC6Fp;4ZL8WhB?9712Y}i6Ku9i
zc@c!?2)Y3C1l@rJf}X%aL2nBwRlP-`DDo^3!~jbL{eWcx4_GdU2UZ9Yft7+}V3lAn
zuv#z-SR)t#tQCv`)(OS{>jmS04T1^42ZD*fX2E1&t6&<iO^^!g5X=B}3T6Sj1#^Ip
z1@nP@f`!0-!D8Su!BXIJ!E3-l!3y9@!JEJl!D`@`;2q$&U>)$a;C<kv-~-@0!4}|q
z!8YKu;3MFSU^noSU@ve^upjtUZ~*vCa1gj4I1KzLI0jr2oB%EhP6Ag1r+}NfyKC??
zkX3LNxJ7Ud$RRin<Pux}@(3;h`2?4N{DLeE>`l9XAS+NvkR2!@$ORM=<ONCy@&hFW
z1%c9nB0yO|aiE-_Bv3(62B;(`2UHPM1gZ(D05t^Fflxsx5GJSv)E0yT;extA9YKAd
zo}eL6U(gt6AZQ9S5;O-I3t9qA1g(K)f_6Z2K}X;LL1&<qpc~Ly&;w{I=moSF^Z_~w
zqJd6=M}RJZIG~$g0Pv6?0q7}60(uEjfJnhmAWASCh!#8n#0o|O{RCryIKg<}QNgo7
zykHWLAeag~CYTN+3tj+H1T%plf){~df_cDj!ArnM!6IOk;1yuBU>Wd~;B{b}U?nhK
z@D}ilU=1))@GdY(upXEq*a%D$YzC$aJ_Mc@>;Ps6b^$XDJY>crdw~}n*zw3*m-6-#
zo-a56yd*dXyev2jEEXICUJ;xCUKN}KUK5-GUKgAO-VmGx-V~ez-V&S#-WFT{-Vs~`
z-W6O1-V<bLXm8o?3$g+m1=)d3f?U8BL0;fPL4IJnpdj#(pa`%_P#oAJC<*KplmR{w
zlmk8$R0IwPssLXIsso1vp}=85E#Rmi9QaC57dRoP4}2qN2z)DO44e`)1%41T2YxhA
z$DFmTfS(-Lv-X@zd2I;)DrgV<CWrto2)Y1&3c3TA1U-Svg5JOtK@@P)L#~=JKvqFN
z;1+=g<PgLIxde$o9zimYPcRtBFBk?C5R3o{2}S`$1Y>|=f^k3z!33bBU?NajFc~N-
zm<E&+qyiNLGk{8hSwI!R9H5$DK2Srj5C|142EqhOf!c!CfN;SIppM{8pq^kgP+#y4
z&_J*bXe4+aXl$U5IcqloO&!>?_I{W0wi0e3*bcN5>;xVZ>;c*c_5tk#p8_2Op92vF
zqD-y61iCn|wd&?l-ciC23629j1>XR@1m6LXf**h=!5JXhKtofB82>N-p+G+ewi0nB
z6=T94;dlo&oZwPkBH?5M4NU&uDSxm7n}4WDbur<Kgoit@;gK%oT_!wAkfo8W-Dm@K
zO##_}u?}njPrH<tgYX0cwN3s!z(fZ&|0I)o(1a)ZfBCJS=D>!hyOftoc!q&clfMwf
z&2nJ#zvxn4QNnWtC4l*YQou`svcSuN^1xyP<;*@S14|v)eJ(Sp$|n4p|Cir{6%K58
zrAv8l5?(EM8(3?gktyI^V7&udzy_D{HWJ<}*aB=5YzKA<b^#w7Fw3BOdx8B9>@GfY
zDenN`gMvfA5y4U5xZnhEQt&PCz2FDnjNmMAPVfuxn*p<0v-dmjrvqEfOD^U8Mfi#!
zOAp)iS^ZxWkPXNo$O+^T<OT8zZUYJl3IoLi#etH7Qb1Wj2v9*#5vU@l3e*tX0fY%^
z0pWtXfO-bZlE~iOKm!N1cN)2rcQ4^4f~G)oK?|Uj;6b3R0kgEJ*AD3D!0w`xOL?6M
zcN266dI}x}A_aYbXh96nPtYHDR4@QYFklt}^%8+(2ewuzF69j-JWTL7FjDXYFxr4w
zMbjGtjB{X19B)!)X+UoR;fW4xc#=zblL=1~JO?~4cmbFxm<7xc%mo$*UIG>g76VHS
zm}T<3SApdYY^_$fl=lYVRf4yGHG+45b%OVR4T6opX2BL<n*p=jinkru>A+TEw@Z0@
z2=5bo0(>So02~w?0*(ld0>=d>fRlo6f$s%B0A~befpdaifZqha1AhuG0+$7U12^?_
zZNJ(7%fHj#BFGNp666N*32p@n2nqs41Vw=og4==8f-*ok17=ARuRKu6fjtIQT*|9T
zxQ5^kAWTpT2p8N1)DzqdG!Qfd8Vl|NnhEX)9x!0O$lYrRw02;t+191Jc7!_$B7iP}
zuE0Zr9zZWaZy-w07l;)+0>lYCAYL#Kc+7zLR%tH@NO556J;bHFp@fGEMgXG(PXbQ~
z#scF76M%_=05C-`)j~@Da;>ujZW$Dt6mPzuIwd8LJuco~E7$+R@I1+h{o@7>t(h_?
zZh*g}O^dhzu>+&xW4jEDd+dIH>GRa-sntgN-)OxvTb3+S{NH96Ff~xDzrX58g1=Tm
zyj$cZvR2JRe-#4%wBCKAoV8ufJvYjEr^~r3L(cN?ami*8l*qwR15#om<D&*8#SOi-
zA|GeisA9&A`bH&1_m4^%bnRxJ1vfJ<WK%tpdO9`5H2q2+|DfIy<^RZOe%x$+<S{=?
zo~eBUIbsHwMHKw6*1zcI4CK4tUm3<M24K20nSKluOh}6JR}qRD5NZ2AG9@X_KOTWx
zgJR<oBV+u<2TUqYQtTs<{yMXRVuubg=>le9iX@IxWOP(?|5&3%(retn!Lk0*5J|&K
zq-6StIhZk#8R7*8_6-&`Fkw(^--Lum`POptMdE=9Q86)*{=yTH{-V>d10n|{*lM{2
zd1}Tb4jb4v)qX>Gpj>pqfRy-wk!BYzgX>S1(R|l+pnz#vBnuw9fEls|iuk8cVt@7!
z6C0o4f_8oMe8D9X9NNXai<|GLk9CV3M4I)?UEHq5d#jd?4%U<fbXmUjI?M0|bJ-=H
zin_G|u5N@~PlB~h)Xoem69r4LUnXB6{elawqG_u#kToT6s}2Gu&B#<Qhu<aU+vCk~
z@RR0S*!^Fo2mN2Bzx-dOXZ&BLFZ^Go$^I|XM*o*-g#XLb*8gQH<6r85+q9!0aWVa3
z2PLOYNe$!|Mx_jmiAzciv<>T$?4M*|k0uX{jp`c~UE5UMi;W(X9M-;*f9(9lRl>{)
l6di&~g@nZ<L??&Us#&{M&2aPgprqK?<S<ukYD(Xl{{!nm(JcS~

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/examples.doctree b/docs/0.10.3/doctrees/examples.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..46abd91d5fe4d14e104cd670153429c24c790577
GIT binary patch
literal 4722
zcmb_gUymF|5x<LX_ipdM&v9@PUozMPor&(&k$6B3Jb+CwTyi!}%$pha&h&2g-OTjR
z-E+71fMgyV*`fu4OauagK=3Id<t0)+2>Av)@C?72e>=N2aUOEgO4HTVRbACpzpA<i
zoexJ_bH$(AFsYEqc#nl)qC#$Rw-l-%i+N)65ArL&%72;fxSnPwMrAtSxtjw=AY>G3
zp5*tixla66MrN-P(6vmD_~f|gxV61K&*x(nrx7>Ta<O<XcgxILEeDx}Qc`k8h6V!N
zVh}N7K*V<^VR8Aj6lUpUF<`-w=EIT)A2P(PYWaEQ7A+eQcP^IQLL?KO@6Wq#%5Z0!
zi!-k0H%4OBt!=y6ziYTQ{UeibHs}X$_^DQhJg}yJ>s?>-RGIz_X4!46hBD&14=JW!
zp6=J`_q4HjHV{3xXmC`jq;aI^h%VW_gUybWHsY-<xAeoxL4|+7vhW@slN(z*5A)(h
zAZS;3;&t(LaYkG^5U(C&112`%MzM7-7tiDO0)7|pd+A=DiC4rGuz#~;7njAW`wPVl
zdvFOGX_kuiMSlLC;D&p(K^~lNEJN-wFIJj+GT9AzYK0dmb%d2wo)z2+xn+m~PYsLZ
z{rlu8uXfe_`(7jmn(5QM!n_@E)!q0i^yH08z9M;W)c4wcrH729<(frpC!Kx5!1CFy
zy0t08C-=kKd*WtW^cO$bTXYjV(^c1-_-<lti#U5_{)M6Nrnppu09~gD3FvsO%=Afs
zeyb+9?hlxefvK&lm(4}Q5OTsVZx%%&YeizOh{UBp#i`1Yu;t@2S;QRDSp`<}cD7V|
z|1ac)*TMt0h_u(T0FoW|;;mz@k0n2$NS%Hvx1_4Q{Qcam6q|QA3%SNBL^uNjiWPRx
zy=!$A*i7@V3G&=+B3BA%sL_rDoxhuyr!jA5EjmHX6DQYyM7i0LzfmNsU)&|+u_Ez{
zZ?gdh8sRIdzCgYF{V<ft$a@E<j;utIGOuFvZp)MxsOYwV`+mYt{FvB$t4h%=ITx<O
zW=oQocZZMoxR#Q;mo%;YirF7(75gU8%m#w)wcR>-T}4@(8~~Ch$6pQ#qEA5G2&q7a
z&TqZLQAcXyy|*QB)osN@texdYL<H|E^j49g$MH@iu<5o+W0l~>snQlz?Lt}*{4n)P
zw$=l2w<?n$%0d(p)F-NH;(hU0IPqKYd-0+8qxiG<tN6S4CwEIR8yDc0?;|V&mKOMa
z;1))a8sv{%SI96#VSMb?Dv=FgDaqmiN4U_@<pTYUN}^NnE~CD-LR35ykHoLVZ^Z9J
zF8(0?Bt8;<6aU}@<0n<_t{{o*Eatn7Do=J#5H=|yg3XozJ)L|g8xyQ>-9ee@tS%re
zN~@H712WpB1PMG5vLm*slE0DjM#!WvGpb0f#AJ1KB9UiWn6Lns@FAR)1mv%I_aYys
zD5l82n(7Zui^xImAU+eT#(nLnEa(itunmUxE$h406|!jo#AWjGyju@4P0fN|wFU=n
zwWbt_bKsT?x0Du$t+P!BgcL|D2Z*`u&sdZpmg*i#Tsd&P5l>J?tkO9a$YE|QS|Th~
zN;L@Q<Os{<YMJQ>t2Ml;PaO~KLS2VK<rJwfRLUmG^42C?wMJbBV$B~9m5#}I>p&lw
z`aoD}>kLG`TvC7<1;wY7@$0?|8mj|UBL?HC_tDmm_%V<2{pZ}WU{SN|xU+mL;Va8*
zW@@I6>x6ueji7G*gy{sn0tdh(2Bl{;3pg2-KXU6bNi*x?u@ym9?s}OW?tW+2NPJ(M
z-t@WFO8bH(VF7tvx@rJm*if0BmeMJt0EcFFW<-d8yY*7&<O224i_;r3C*39)VBjSI
z|3ok-cWV(#Mi~P{!5FNc0~ok-ng>dUK9B>!0X0;M4qP`-$q+We9Wn%@0e;50=(=^5
z0f;9g_Z;=NYhf0reiL=@YC%B%#dX3W61Y)N;M&B{+fPWT;aRBsaZK^Fi9}I``|XoO
zh#<d?rIBTPZup@zY!Hzl)h!q6Y!H{-DvU9Rf0PC^xCohw&95QUy+B`3f{vPa@Vq1~
z#Cxv*?wTdy^DLzl!X_CZ3L_ayoBw3)U;pX2^^~WRlqYjmi2|77KIMi32-?(K>-SGi
zPWIAMD^#+l^r#>5<32b|AH|nW6j#9s-*Su~NIakr=)137{Wd(iu7|;l8lp_pT&&et
zr7-76Zij^$VdDrYdX^24LZKD;{*v29K*oNPn+;<5CZz~@>^9A5V%gXiawH=B5WEYK
zqPSl*F+-O9B12LeIO<%nE|(}<0V}JM+YSW!_5crGCL6q5xDcn0vJ@(4CMzmT1p+8X
zpvYv17^qQUi*N#{IL)`oQKUj7>M3*yjxp}BJ0GBA9{D^*fA6DV(7c$>9=S6-InGf-
z+){}Ts5l5OnS>GnZ~bx(EQYkRP=s)?7!(l-D6};5xveQ`Io^Q`X~SmGrL@3gNGOhR
zW|bMYNSh^X2iU(YJ`o>hu18dRn!<B52YvQPd~%S9E&AR@z4{ctj|I!zTKj2=Ypewl
z$VC@}u989-So4(zv?(PYN*SIq9;m2!?Sl3B8DhiTo08b8wHAlArsM-jwI%32KP#)+
zK?ebR2+%Mi2+*9Om5ShU*nk4Dc)g;3KwkUr{=9jZ-$9sT*hAuApf<oK(u&b$-JBXE
zMNOU5t7=pg-)#ng*KcHLBm-oRCy_-G_xH*t_Q>_uyi4`Oc&VK6FuC-fb>{O2f2mJ>
z{@|m%>1pZk?)==`m!B-&6yD(-oS5y4+D(x7l(|k-#^&7u#S7B!#|LlSLd~v<J>aeS
zr@;ccfy3K$iRqRH(=&5h4bax!BcC4r6zsLnswt)MVYR;M_HIJ4rh;C(aN;~q8V_aN
zYmg(Hb&Gk1k<`PGGty`9J>iMNBb<1OALeU6klibd-9^5yRE;hGY6Sb;a!AFlstfdZ
H*<kN~A}k$E

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/graph_data_demo.doctree b/docs/0.10.3/doctrees/graph_data_demo.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..d9b131b7fdd9b337090aff30b9c71cdcd730f003
GIT binary patch
literal 26343
zcmeHQYm6k<Ro>U^Ja%XHVeb;hvvy^i*ga&r+a_S+W!Kp8+K#<=vVLGMNlbTj_wBCg
zsjli&RnLQ9#X(qFqe3BZTX{m@2l;~(1rXs8q!5K4AR#0ygdjG^@FNHzAt4z>k%Gc^
z?yY-oRZUNK^>iEK;FVU>b?e@9&pG$J?(5WZGcUc`Jiz}&CxWhJyW1tR(Qv&63;NMq
z!>ji?%nkc5_E$gAf3{zU=6!Q3@Oplo^`ir*QMYWT;WM}Y3|=l#{m^!TQVd|eYx-u(
zH@lXCV9i8+^(mWe8KGqdhU<l_=6M^2=Nb>$;Rkv(<AN22-Qaw=+_FQfS1Z-MPPuM&
z?a*{QmzDiq&8~ZHIrJGTcTC$YOBg|!cU5Vap;>9Lj#qMPj_q#TQ?2x^Ss-Z51Ao?J
zz!&&SnyeXXiC*LFktf+U5gRQJ!?6E+pECob46hd*1^vW6>vS|<QOvXsM@M5Gu180J
zA?vUAYG$-xhM{lQdLejEygqC<0`N7OtvhBApb)=jT(cv7%{6*m{ZKRO8z7C>IYPyw
zXo!xYde67}(UocQyWfjuL$k%PuufXb*705q%sm>Kev4^Y0{fnL0|uK9wPk>T)(RN5
zya`z=lB^Y_oD@B`C}gW|TJOfd-zw|vmPu8wfO<cQdXjBcxo6#O-4QJ)fok+G9~8tg
z)x897#m%YBf^}2$c==}o<_G1Cz-4BwT)(5z^}RN$he7#+PgH!?^@8#xi18KQYuXO;
z%MhNREQDqcDeqf1Up|EX4_oJ~!(jM<XwkA;mV^JHW4f)RydUNAE_swi5;95kqa!Z#
z4I<a{NZntEPLQaAiI&d-%X1q2Uzz)X`1f(5>jScL>n7_VAajt9`YhBpWkR5CBf6j8
z?l|Xzu1Pj#u8Yo?zsdU4#nYKCj*2b<FwXYeT@;eS&xCg9B$Yk7?jbTr#udBEh#=z<
zEQJu7vxDC$b+<a`e}njI-L!7qOiDX+q-|7hit3yr^Fa5iFr*{7VAZU;BsmG=1YjJK
zFrqIfg~X_vu3<WXXE>hOFif{$K&nW73~m?=GK>KWgOc%t-LW0hcXo`>gU~YrTn-Jd
zX{6xAt^Ht4C<g3x&~@z4uw81l<rx^<E`-DlgY!nw;EW{*^0yRU$=<gLx_ZQa8AJF>
z`9~bO%}4rrIr6E|T6>xqTejmE<eWI$djTV^b5|(Fs2huAN%CyGMjG=^1BG83AM>*V
zF~9Jj?FZqS;jr*up8H&2*cf&{<RmzD%{P6U!Iv}EU=0K2LJ-8Z%}&>0ijv8IXv%&Q
zDE`Lyl)WQC*`!){6E{5bh(kg|Aj}_NdJaTKJlEOT^#(R+5jw<t)2Y-PufCC}5gqxk
z@yvNS^5Q|$eG~+IGi!4YWB5?Q5UvbvO!}E<j!byZY{7&IGcN7PHvr^MNlLSTQq7OB
z?XHieR@ia4<^2;h`@>!>nsaL+OzcO;??;q)pU=#7{7n!MoA*CcM(P`}w0OZn{43Z|
zKf7HY)?{HJ^mooL82E>GrLGxTCEJDJ4-2=i8Ml>6x2^J*aeFdk(l{ArU^Kc5Y`f07
zq46*m%m;km^98uQTPzTi3Uy^%G*(KbauRA8K^UAd6|Knec+1m~7Nys+5)dueZnqa!
z5VM+li_@Il-3cwveP2H*QvWzoq@<i$-$L{oHkj}CUmyqfijb^y%v6YG-5SRR5f`F(
zGYI=EDWTNz5708<8sUy7_O5rN?Df5{*RHn(cL%l@nDs~x8aqJv%@%|9+x3j!jBU8m
z<jDc4p=%#Mc;JAw++LtRxg!zjm+q7-n*y&c0LIs(k_)9TSYJ;USlSAVGHvbKKv7mC
zt-spKtXY4P5Wn`ji5vNhn)MGPJFsW%ckvFbSNBBuuSxx392(uyCHyLQv1Mv|wp*Zg
z+<L4TEA?PA8I|L)VmA;K+0C629#&RY7h-cIpvkz116f_b9D=*ki!xp-iGl)Nb-QRH
zjAZGG&%$u$3K>l17Xo<TO2fvS;o^gc`q&ze#>{$n@kzhO&||kG+7$$}RcXh5*vL}4
z0U=y&-#bW*{(UboiUyjq_QgE%BrRHd6}5L6wOG6|cFp>}_22&+hU{|EkX`*TAjoZ5
zXxABnGgE|a)hdZ~wQBGM2E*)yUdKcg)4{}`!9q-{5YN%{Kv+ONm4Lg|vx$=NB;Ho5
zD)LvrFjp{Zn0a8L(6F0)%_X$WkQp@=ZZYN>p;_x;3c{x;0w6Sn8`zR@UlRfjurYc-
zs%{~`9EQnS28)IlH*i^<1%c`B7+apdLHO|55y6rj3Uh86>p%^4u8N6_h+7L5W`zTI
zmskWE_!^SfA|XncXheRqapac>m!dgIr_|3QM7D;{rP|NH8anZ8cd52O0CI3Px_8nM
z*4Rt|)&SPDKMIVc9gY@L0wvipuY^ov!+G=kM7((<=FJoYR^t^-6Y5BQ<&vP!PQ<0#
zjC@L%U_tICBk3Dc9)4#cN-r7HFdfP#Mbm*dfJbT1k`0b!#CIhT@g>%cs#O_-z+(G7
zH<0EtQM_frOlw<jKtqHdC}4)qUskI;3JQ0+?BWWqxdL!}nTXZxrp+3w(nH9I2Jf3a
zm#^0$q7D&Q3%f4kBe8nG46Ka!u?0>WhvP}qrEQp#Xlwc7rr|I4BMN_xM%-*36`av9
zBUysspjt`mp2qT2Y{Dd7)v82wk()7Du3>Y0U&#Q?W#$#Ww}??0I%K-TC|C87l%5$V
z1d`fQy97idz$yNZi738)kg(|<qQUP+(gYdP@+wK0lSLXnr{LhBv>=Q(X73$G9kf*$
ztJwg0^BIrF6UJlGC9|tgDJES!7{@o{+Oi;;jWt4YTRkh9+XZ6ua{JbC_-$bgzI}^o
z!53$L9+>Qdnk<+Gz-Wv59twoJ@p5~x!LU+_Elmeon}Olj8x(chfm#sASzFWo(}MPk
zijqA057GxDc>tu<oc!vIP(F$CMdM?9iEYL0bt-)ScICWLDwWoBDQmP?kSeVsqHlRv
z0KsCW-n~p$!5XRU_Pk!OR}FKs#XH2FZ3~;asn#vWs{wY$+^(p-hDu=nLb?{M!^V9y
z>_BXyVnZkeDT(Tyl|mc4tFqa%u`IsLrYtWrY*J#%?crs}=&p5~#M-o8w-I|K*i=)h
zl~k##R{`h}3+lezrR_c1D1oqcu_#Qt4Yn)QjkcbuRVB97>UjeXHOwH<f=e=0rU{?$
zjIuTt=X7mew7YgvcC?sNQwQQk-6U!l1jNwQICcpM)o)S&ln4)OpV1L&X>MW<0X+$=
z8A9uxIz&)Nm#8hK;!y6;5S0<_Z|lvy0Sr;tVg*Vo908;iDU23PxB)f@v7iv}HHGBh
zQIyBbx`jTZ=4y^D&;TVEI%yZ$M(IAdYSY}lkXORA*B_$|MEmD5COaJ`Vrr8RT<QGg
zRhjOU>sBoTELW^S7(lVkM(-M_7`nSWmGe>;D_V*=UZ%U_)b*xE-9Saw-KD7;TzMpQ
z?@UW+Qm-YcXOm*AD`-SG-Pb0fyO7rk>0YD!ZANn825><sal*yx8PA!4?=?1@2Va<o
z2e&17ppY40NOh-C?j|ESa9y>!%REZ~IFWgy5#UsRWg@Cqb2|auZ8S!sk(8gSR);tj
z$%7mAtfSH5-1z21+_-ap&P?MF?H9sGKHZqok+jE@T>6oOmLzLv{5X&Pb|M}<G$sG6
zk&31UawHd*)AlyWByDWok+itUDjH?Z$A6uOj}MH^$ALkJ3Y?=U0UW@?d^7zWw3O52
zWDp*GlIFET#Fy{i3>z375K`36<K<C7A^Bq+s->b&F@vVS?Fb>J2Q_{M83zuh*JIKF
z*A!K8KGRXIV2rTi!PpGvT!MhOU?c@oRfFY;X!zi?2Ujb^)Iks6Yd+QZ#k6Xu)syJy
zJuEgh?B!Al4r0sI1UlQa5@4YuU7}~SvZ7pec;nzJE^|xx6I>$q7T)Z9{kgsPad|J(
zs~LhbJy^%-;k>A%ma~P5c@Qp36%VEgGfnsXW72&sO}AS5yZRxlqGe{0d~U1aeOjQn
zUx%ehuN1FcKu&1xOh@Kv)=X;^$y$5~fy)lB#aftDZ!)Ydw)onjV_Tlrpe+;Z)_Vr8
zm}-x`cpL_%1vH%PBIq45s=Kx*csE)gsV}*{k-~<m1VmH9sU<52qV!l3Agq3d9@bwv
z2Fig7$pG(9js5OgTqJmWL<axDBs@;o*~#EQ2p-GW%(R2SW-JY(j!49HjI`{1C<9_|
z?ZaUuxt&k_a@TQgsH7xF9Z_*4E%ViCEOjzUo#D^A3vNL=6H)UBsF{*PYrLXqLLJGc
zeeU)>Hxb_sLwyni^T&~xE>){Z1((B0$J644RSlAl?TZuP_)`;D5RFJQ5tuwYN!lvK
z6J4lL;XL{BL_E1+Ph+UNiH1}fNe|W(6Gl~%Gq1{YH=LS3o`{+=S!#sQR^~3+qrw0x
z@`Yo+ik5?BDp%`p!)fW}-b)-WXnKz0ZP{)s<rfo6(&vp2dwiS0bg+(KnO&Tx#OeGs
z;Z4_!4l~^~V-q(WOk5sB@dn#kGd6mD=mmE0j5y}Ny(QhksWF4u@Uy;gC+<wREu1mO
ziuYaecY}4A+aPSPt+C757jOyDHw6*~-JtB?D4vgXo1%gSlj-@LHKXU+SW3qaoY(h&
zA0h(2+K#HSv-3vF>~u{2jvC<=FNmqU_z}bbbOx}{#JRX|6|Vt=Dkdugx&oJ{LfYqz
zZB_nmKQi|+8j=6IN+*Ti9$N_2sIfhea1d{EEx$(eVPi<z_CDV;!<9zb)`QvOn*Ww*
zoGZSQ@*OSjt&GVL9airnMlKql*NTQ9;}^a^5e;*a1`RdRWdrz|&-#CI59=R&{6QGl
zj)&=u?UG5v42iak-K-f6Vsl3mB1E@*(h=V`r#rT#ppN@3CC_ismD@6ZDu*~24ZH7@
zY2hj;(WR(cxQi$%>l_HPh-u1dZbTBC8KV&xaOTJaqIpxMaW2uM9!ITOjl^o0u-!2c
zR)@|f3|&M|1Gr?JQiqKmkXPO(A99TNl%T1QiAQCZax+9-NpC+$qlC*XxO2~Cq*u$Q
zRG&&K)fCP~eJ0tpKHH_Q+s|UcLDvaz&n$5@z9G+>#n))*q}Gr#W6MvNn-oNmF8>U!
zJoDeil^8O=<9;?8UP&>%?GeM5+nwBeCr;DJs<vvuPnZ2Va8_$W(G%}yh&zoPuP1K)
z1`I3PF2Xf_HI~+TEW9?wjRT1~zsQXcGQbfJagUp>EYQyuZkww6v~LJ(&5&mWLq4X+
z8|TQ`mlBKtL-r$58NU8Dz)bVH*=Ir5u476$ubaI@JQ?@8*{6AjL#~^B^%j1croozK
z&k6bH8>A!riYg9O$0}32fHSp>j$qwW>TWplW?6}(r6B8HT#0K_l@;70bJ-T<nBZ4<
z_>H#IG2{{nSRvDfnus&6SinuRSGUt-=<wD<TuC{%wZA(^6vn+W_LV#`p{|U59<_I0
z851IsHrj=~u8d_2&pxleW}saDy(z2NKMmq-PBnWa4@<>Wb$zSz?|Fwq)a=xr7b6F}
zNejw%2N5%_puC=kDkUhdq4sV;5k$VJg7Wp0i;ul*5w5rxyW*l*l&)C&{bg7w>9Wb@
z2$vljrs2T=Io2V;!0AizHACER#0~?$Ll=htgI=kDZNGPhJN{Mrlen!nG%n_j|5nw4
zJAR~QNI3qN9&Q?2NcUmlt}fq|VQ$dln=kzGCCoW2sx;}SCYGrJ+5n1wBlFFsjbqcQ
z62G?zm?9WhBk<TqaWWe_y?}Ts7L}S!b-TdC&BGlPI{Y8SP7li6Vo>f<EFLHL_!fc>
zIXD=U{RAJfc^ruT<&>@Blb~zA!N+67lW~KOb>86+tB7?`NQ=IKPLG9z(^t30M^{v%
z$en9v5UJzZ%yu4{mCbw#wRhW0!GgRtGc5r7b*^bBmtUT;7=3;aZ*w}=&*Wig*17h1
zheO2Zgm$hZK}u?Nm8XT|_XiO&u8@2+4@F8yzKGhpg+vherV7a`DL?X^`zYfYHWDaR
z6c)CG`gLq%b)#JdZ1=-?ZX(+Re<4yE2Kth{j|rpnx0KR`e#hPxhXRn#3)4?mp0KJj
z<ff|8gtcTm9jB_IZpoR%jc}>o+f*(J+Y|!4dP~O)kUj?Y{LPeu1D=>lP%bxD<Q~W%
zBc~GoU&vMB-+q;(cDem+`jb2SkT<(to4Tj_&Xi5mcR|;FJ>BcXlW{%WfAS88n5fsJ
z)F$S`vHT(pmCzBMLloXHf997WnLAQH%5vfPMSfGdh&+xq9o3OpU?g~{FT95<Vp{GO
z<XgHkizz!jRyeY_0mGeh7V{GK(z00$RN34genOQN@krz3(E*}1t`k`VkdZQ{oXGbe
zY`dL^5WzRqiM*b2BKPQ3NZOtDYCNT;nj{FXp`8ZIJtcRH<tb3JhDpJw;cDMaTwZS9
zMSsRNdf%J6(fh%ajoy=kBr#`P_E;VP%*JKwyu%?z@0~g>%a|2qE{0W6BPT-oLFA3A
zXze_7Dn)w=wRbC;Ap6Z!v`6QV=2jyRC6*fC0*ZVULa%<DmQF&fQIMS<zUDz|3PaXB
z7I3Px?qJ4`<hSu!N3uwbTKl(%*~{%O(VyJ<Mw=U7R4r(Y<IyEhyRZ3l2F~>aNAHq^
zh&C-OU&rAn#hc=)uFQriBUIw2beARL;gIKaLKK@#XIt<2<cia2`H%|IVU&xQ?+q)f
z_U3f1$L5d3*nCZKdW@xxM{hvNX*EdG8JnBa5}gz%Ey)Ww`z|GK*cKj_n1p_a<jX~w
ze7VSzFKe*ZWrm#+<?hxHp5i)QnL$ov4SrW9Ynf-=dMLVHW-hJRgn5Hi>Os)IM!R?i
zqor72Dk?Agaakhrvqy7CoJ_MPq{TmlU1O2vzUkvsH%@XPN##?f(?eo*l~mqdkLG!D
zNQwsgc!07ap2M~u9*&7_DuBI#$A$Q@=R0^>483}V^10JnbT<Qu^>_Nw>89s}l*2sn
z^76rGk+NUYec^37_JADZ(Gp$A?oz%467~QfZxkg+O2JDiTXtwwWLA0f7&nO1%&$ks
z#kNnyVVlh9Up^EqSf&%o$C>C9+qT0BorXYGhq%&AG}B<UUJKnVZJ9pJI#C02!4691
z5xLeG5!JsIE%Dg6f+YMNt^f9;`Ciy8{$w$*@q0P_vVuIJo?o%Bu8cJ3;4`6G5Bt#x
zkvu2?WrjoPN9QtcG9cOqXW>eg1YC`SY`vU*k!c*ABpL!R3Q5qr4o^|OC{yi%<4A-X
z9m3ZTqU(HC_xuJ@TF^;9bc4%J;KNa<O%r5-BX$Gx57xA|`_|EDiE{5DXQV8O4%rZ@
z#YV5wtti0*V|f8j|L7v+Bfy;CCE%_b(D3V`ZoqmCuYy$SsCAN#2L=q1kAsA9OD-k#
zu(D}mio!+o1YNYJq<tVH#&T9F1Qh5vh@k}pZao2XF|JmjJw^WEfwS}rolxFhxFn1X
zL2F>hkKwZs>JcJ(inI!nLnkAl1syx=KXTxo|7#{%>as329pi5_5IM)Gq=vlZ6;hAL
zkViMRwzf(l6RkL{!#2yP8I=3c8EU~%L5oVrVD_PVluMp<i|@Jp$HCbpzgf?8LnXSK
zW!X*WdH9}%&B7+{hR*(=i+N-(gcdbItABYeItQ8TRFrxu^eZBX{R`2_U<Y1jyP^{E
zBegO<W&v?O9&}8k@%(5HdJSt7UB{orV+H3=ab1YB_FUb<K~Usl^o72G%bbO1z0vC;
zIX``SgQvQW?Z69=9<NSkp|oK*O{OB~)zbA&GUUo=Kv#Frm&I5JXlLr!WZ0-Md|v~J
zT^jhp2mb)YwdgQ&H|c8?QJf74ItlTzahMeXkJ&2!!~@6p6gq;q;OrEM0yeejqZZNW
zR4HAQ;KhK}R1frt1^V;_s?SoP_+79rSa-L-4KEo9FHw}iL6Lijc8hk()VY%OEi^TY
zx10F3RJ`4UZK-%-({F!{pe2Gb3fXv2)_$4ZB%NF@nkQT+)fxXfhjrl^M`oS(yUx2?
z=K$Av<Mp1kLf@dc+j?L7K3E*9*?vF%@T1G^`{@^*Z)jhlU$jcxet>>anAD3FlcL1=
zuvo|EPdFpN8&N_QL)H@vPnM8y^HPXjr{+0II(gysnL<^2J_T`J_R1TbPQi!q_e1hF
zXR@&3H((#^8NcX5hWl6@C$J$R5C-_P+571N5XxV~C_mqS92$wEbkK3gLx7|vqC;iY
gQpLwqF&DmL(w*bjGJPRsp+S~6Hc}Mq;uA9e1A9?#2LJ#7

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/graphs.doctree b/docs/0.10.3/doctrees/graphs.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..5ffd40f3d0cfc647693b8b373694a73a05b217a5
GIT binary patch
literal 25599
zcmeHQTWlQHd6q2kwxTFmw%jze;;~el6vMrU@<oyBTV%_2WYdZ-u~U{^&+g1}W;wgF
zo|zR%H))&%Ml4{G)bYkhk>sHT3iOg9&BYIWNSYK)9tspF+~lQb4a9ZbrbW=ANgn#v
z??1P>a4$2YY`KPwXt_IcF8}%O|9{T;^X%9ce^KAX{tFNI9m{TSlyt*ryN2oa!b!ue
zcUxvV=)KrG{>k3QdvoEGr?2~N*Q=Yoa2HzCE!#0Xv)x<4%Nc4P*p6Qk1B?f{w`xY+
zt+8;rRMM)R*>SzVKi#t?R(fGU4+77wbpy;vbL_DVALE4+bw~GoJjD00w%+33CXH?<
z`cc#CYo6KQZSci5&`%8C>xL77zDkXIRw3N$*ln|SZg)7|(E)MLv-X5jRkcL?8kZ|O
zTYlU(J-@u>w@tlPuAiuOJhy4q1Hb(6qYQe#e2*UJ=RLP!JEm90D1MpuF0Xoe$MQ>_
zAN0C4Ybu=Z(b0C>3W?U3HBJkk!^^S24jeP~DjdI$^=GI-gT0TL8-zgh{J9>Z1O_Qu
zn)QC`dTWn$bjiAIsaw;ngTSA4Xr*UejepnR-+S=yy(_)0^*-x3n%~HqTgR;H&g}(s
zH*m5>5Y5X6;Q<DR_E8X9qqTB?DqEjN0NsTd?#KtwZ83l*7`moF9i8DYjur0-Q>*K3
zt>d_X=DRIZa~m3gW&kuz_cb4ca=o@@*?!=ndy6&oOWFrb$6eRfZO73Jv*ot^z|#X$
zv+yu*HN(Ydn%*`vQ22svn3}nvw>pmLm*j#k$J7x{&jY7R*>U=yb(9fz3f&lPfzyW+
zO+WmYWoixA0Y>chD#wrpVbJPbk3_=R)btCw?dUbfB<!ra-kN6E9vB#}*6qO3HVNs#
z72|s$!B!=F6Go13@Y`6-Z{^3qz8DUs!hJQzt*=#|?z%x--nb}2(Dv23j$;N@2MiSB
zyhv21=uOoQ%vS7m7-P7(Hk74j*R{IqbX#p-bKB15an44H2G$0NJ}@@AV}yVWtmK*e
z2-uHq7e=WC(A0VwT+&rsa!t$jed3P`y3;j%t))XfZxm7s2@m&eCZ%S;+h|QMV%`_>
zuW1I|KAUk(=0JTIj&o}F!rk*sIl4k_2xZQw;hShA6c<;#F%g^P`o@QT@smo1iO&}8
zlDU0^xtB5hxAJ4|poDt3-oNGvOAoYlQ)`>1K}x`Gk+GI^9rQW^?}wP@Z?c0&X6gI9
zIn!KMF)Og&fuMQ1Q)N;c7r5Dm=eC&Ims+SK?7e_gW5&am0B3F=tzaA={b(2ygi{+W
z=d|C^$qkz9cqY7s3-~(LaLF^e7*0BRd$p^t;@Nm-Gq7O&!x_t7wH*8ls_=@))gi0=
zieS8}B^nY6`vp?iE!}Qwjc%KH5xy1>eQaOr`kX$@Br3D#GkuN@91A6FejX;A+dtib
zt>a|HuuqZclsH@#I9z#3^USBaQ2FHd5&3JTX2WReP>#m@Ja^gVpuax2bI^JU<(FhM
zVDP7LzJpR9hqZUxt8xBWy0i$9Z1$l`hvf(@Fg}{~i};#`yLkUYC;$Uh!riB%QRqh+
zH-l9pF{Sh(-h*yTHZkTuDEn}%V|OG^XtRB}XjY;nQ(MIbwBF|a-Me-T6F%!T>tC$b
zFIxYK00Hit3-{Ujx1=z=H-bA_Xn4&!B&WD;7D)t(fm;-sO_$y>Z_!8h>2W{$*D-k9
zZ6$>@#E+gk50^C{bIKH#u00xf-FndVOyj(8qcj%iNR(yopzzk52hM=HIr@_)AZXs8
zdNAdCT|)c(&J*PE4TcyFf@hPjxIj1~_uTK8b-Mvqk#v-FgYa%$SIUIcRbUzm-03EF
zKCsLd_zAiu(qhW{zN|1r2tLITe2YR?mWWG=(e)sWM07%uZWBtHa8ivHKPR>Fg1}*w
z1-$B)-8OvTS60FujiDCEB<~)qE}P^@qm~xDW66~&uQxmjYvG&BHZk4+%@y~+!!-3a
zw=7UyS(+-in;+qXd2CyRnN5PbCRH4F`mIj#_gu_Jet3Rf5@~*3D-INDwMcHZp|Ap2
zb28#44_$?DaN$?@YBp&-EJyHj2}C#@pHpfJcpp3#i}XFCrJD;OFdR(>J;0rn@XV!H
zkD}0}8BV|#S8kDJm-;)drKRk_y=+=+Wy4J;6kXHg7>FXF-u%2!VvNXh4|gb$qdUhn
zu(L+-Af+K5Xa{Fl#HYEQcGhuq`E#C$?K~+*sQ|fxwCixEHd*{#(jI6CwP}-9e2Pz4
zB^iH;bZQ$K5<ZydXc|H@My&FCMClZ(?27>|IR(~|g{3J*`66}CY%_>azQEB`2~UDi
z^5P_#eS6)-{Belk=S`Zej-~syANTYo1pXxgL=I7LCX<st&9nUGA5-fX28y|88(VwM
zj{R4CfF%!+k8GI8-XQRhX<Fo2_a_)hqF`T)yCP^9BK|5DBEFMC#Nqy|s&E|+XwYY2
z+2nd2JwFE^hS@7}W&6tYSEYC`G25POLqN?9)8C$SGsVzfybD_rEnj{cL(3Rz&WeoG
zffTSAIPZ--oM({+dW{htrs^_jAeuj}ftr7U2g*)Q%}d^pi=Pk=QX==isbPj%D5-nY
z+H<OqNECB+6!=c8_q*}+&PY|mxmqrITId?~G_~^SE0PEtzH*^#)XE3wl4ykk8uVF7
zHf8gE^n4Xd&aP|*k8Ayz^)*sVGUG@NN-e|KNII$@LT>oP@{W((Z5TH9PMl2@kFkso
zOAwL6**9T}{Q$3TjHev(H)Ci;tL6uY6}0B9c{oBPC`vJ;BqFO@;*phDca`U}t300_
z3$pZ$1&x_f6;y4vyIK}AsrO<{!&oNDWDJU@D#`UJr!P~GBsLoI#Zymkay-5*a@>>z
z_iYqUt<ic?PI9hzs*?*LWTaZ?@pg`<2)?*dAFQ(CDZyK?GMlYzsLp17SA%09il^?F
zpVv3i?$$$kKq;~Z?V5Hs94g8=M;eQ5J+YlfyS*jyd4X1tBI-DwLK>kf^o^A1c`3E*
z;maUGzQ~tR2~Q>Cog9EGy|9BZ1SI)Mb}M>*o~>c{TFF)3LbAK(=b36uQ;h;(_JSf{
zGA=sNE*9w;IE>LYOIzL9J9juDBW>K}oKgcys*6(<3hPW8e<wHL|56hEmL%b`u07(s
zaJwUbBm_l%qMt&~mva$)u>7Z87SaLr3}g3mS)y6OITCZqj29_0Uet@&tPz=Unba!s
z%y^WcSAAqQeQO_)O&^-Gr#$zNoPC)T63f{mrw!lT#>tSb?hMTINWRP6PjP7TmqcZ)
z`STR9hf6H^j{mKCunhihU}ce;up~10+!deoX$2}vC693^Z&9jU+ruUxC7c5L0#3@v
z6E)G1nDdEYUwiiVcRX-}h&_84B6icC%xNi^?Ykp}kc2;2iu;4WMwD%z<G8_o1Qb}>
z56s(5ErV&C16ae({J*=B>xl@P#i`qt|93q{|8?6!|2;`?bNGKBkZA*EXGp;g%&Nw0
z3^6R1J%yR(%>;SMDJVpvOHm!?WRFxdquA+O%O>aGR`g(AUKutb7u<?h!rWcOym9%6
z^y;u|_*wKk$siuCSjZKq@Rdd0+kNC(A>&2+9jUbMFjq+Fk3nwSG9f)hu}L|Xq}N`W
zIz_FgsAFawLDX8|YpR5I?sN?i^>#dzfGfU|Y}C9DJwM7;v<+&$a~!+R<Yt3UOE%c9
zTNY7&yCZ;f1Vw(L-;bW3$VK$Q%#?QQNIeuYj7^SR<aca21GkNYQ4L3;=-e~UMzuG^
z#<z4)c9M%4IkX~X^V>ubt@+IqVTMbW^gYhSkdp8{PNsd2WIk$WB5GTG)q<E!``!qG
zj?O|olw6szwQpV)>J?6izuy)iKAZ$MhZk}xzQZo;d30RojO(12Cw4|SA#V`iDU+5f
z-SnTiR!*kv-_e6PA`7_ySG*GD>nCQ+ufHBe&(|5O!^MhRke~21MJ~uCP9RP1-AbmB
z38X8jQ!cM#20a*QE_(urAc@01*fhj*evg3^1-6E5knAp%o!RPgWlA8W9Q^Qd<&RFK
za5o$mB$78tx^LG>h=g;yBM2z+)BJJttmLBkU|veQ8KeSU&7cDMxf#(cVOiym^mZ}I
z(%@^rgS(>Z6&rLON5pzj8cB7<Da3e!M|GtnNwRC~CRO?bDCJy+WRoWE6<3O6EE7FY
z1a5YSyR>FI7n4!`XHE5B`JX3;!&10kWpgAn@kbFnpXBg-LXDo~z$3x)G1Y^?vkZ8q
z!UHC|8-t5iM*j;ov7>eVV~7~#HLUoZEq<Q@mX}VN2KpLu&V$e0u`69j55&?}GE=RN
zQVA#1FKsz;;l1@RNOD|`sUxy~iIe>$MZ_#*mmcs6$o~cO9G3HvXL3HTW*{~hdU+A2
zyTCocW`}N5;BsKiuG6&&y6w5qv&M1AzuTa%;qDS$sc3$duOY>VD_}%*hW*KZ!j3yX
z{++l=LN^JGP9ftJlR}}ut{>j6Eia!~&}Q}71?@zsva(Rn#DB|+cwEEd#nNK@@ku<c
z<MGMT&GE-eZX0K*XAK&sf`L{FG7+xb4!BB@FDf0;IRfB#p>PbjCrAyu=E%~xIA9n{
zp^-GiPbOlSDlOw{bCkDg*toIE4rSxktvtMayi{n|tC&0<!bCk)=yIHzmFUvbTnZSv
z0~hV*rA2Q+tCR{{JNx{QGv->ZtYn*29*7oQ<3I>$dY8`cbUG{5#bVu;M`)kXv2HbH
z!kFnAvs-kJD|WQ<H*tlXJv@C{tKw!<VAsp+w_jGGQ56^cs+Cfwy~^~#Y267<YiF65
z-7l@MCVT_!0h&eFp+UE}!#x<H7akcpMlamc_3U1FV>Zxm{T}Aju%SoT^?U1U%^v}Y
zJ}J^4^i!lz)y*H`g*xuGoCh5zQs{Wp#F2PI+YvtAH++!n2w}kWnm@+sKHdW&ULT2w
z&&3b{21LXkb7bzy<V0|7t<fcQ$Gl)VGUerM^-AvC;egV`*zq_@=$iip1VCbbMt?HL
z#L{1Q20ed@o>}~bH`ELx{e|XVpl$OT^zlvVHQxLdeg8H-!ZFAzF0-DyVz8s|Ou|uk
zB61WukP{eA{I6pa`uGUaR{QcIs@lTp)41=Q)ySdf7^O#Xm)!K{$g_YKadKrrGsp+J
z9XsB~<9>mfWo}j|o!RJpsoNpRj@*Rv<P!(tyhcIaNZEGS;@H-xToJSBDCEK11G4gL
z1eko>Vv}Aq3&wCGRjEK>!}X04dRBR3cn6WAAZ_%!C`Jj9Hwnc`Qki+292+idqs`;T
z66P^!2=qLLU@>I~A`5Va-=%q&9LJ<}%w`^sWf&^EO<-`wY{Csd;ZWlkOHdS)Ecm@B
z_mF&=Oe>_Ld5WHgWEKuTBq}w0gjZ_7HY_SNNHss;tzwDhO;`))xk!I9D{qSN%c=*9
z@lofdIn)xaW-?rvLwddcN#?Bvv+>r<D-r%yO&3w{0ZzgD6g~2U>o0+lXV5c?`Mpcc
zuoLqeGrB1jdMROazZV%@if^SE+HQ0XV|ovUIg6@5<{b0ImzPDTO_6q~f|&b6d9l1$
zSv)Z-<MCz0=)4hvbTo)wz##J%yys&1X6jjq8i=<%h)36xs)ZO_M7*~z&m!Syu9_ae
zn1x-ZKP>A=U&w9;cFUCGa_jHbs18*jvhcYx17!S%+yp@0K!DdT_D^nIrjOG1v+nQG
z@*O}+rE!=Wp^s1+quq!v#f(Tgo?IL3MkKgTFyFvPyRU6bc@$i8kBGOAWf)016em(q
z_h^V?zQykXuW{cZsUs=y9%^M#gDXSgoW+|s6H&Ji2$A!y3wg)sPywwd{Iu1cp1;&H
zNXz-i&IV>DP*cE1XT_Qq$#`ka&nO#~$4Y)3JwH8y;bGU<g@<R=3_G!s%?S*Xh)|P^
zaPI2~WBKQivCJHymV`;I*1D+QXnHbYjS|f8!q1Dt4woW&l_ry$#+wk#(zU?bRm3_d
zxa|wjfM^!!U~CNGuDq_U=C`^|V56F!G->?<-h_}M;+Fo#%9|9Fu{=@b$#)4S(h&b|
z2$wX2e=tHTj5dSc7-9yW&T0mwF3)NR2gcW#jN#lv$&hpKXd(}Na;Qb@4}8ofeiuj{
zY7=AewyZf=<QF}QEglX>p|@-x44kNJh}e916pr{dHp`^Qvc+Ti__O3#iBeJ6oR1B3
zfNiQ3siJ0)!kk!+fWP9!HpQ#du<=T+D4ZG%I~R`g&AOg-#FS^jqlclYj%%h?jXJU{
z3BW@7z2UE#8*~FCsxDzvYnyD34wdVguac#k_QPN4+X_{9kw8C!264zFFmhg1Z`V3T
z26T5gBg&9gMIGLya9TcLwR@MsN#A7ma!{Q3N>ywayS0d-+Nk_H&hsGAX3g=XaB9_T
zqmp3YdOiH0pb9DARtG=!@o8`%p}mHm1@W`%Irz0daO+j7E=+GR-5AQ@d7HiPP{VZt
z)MPPZFHuu?KNb1KE_HPS*Qr}nWq1bhoZYF`-4<2S^D*SF@h7IkYU}w`DhOGXHI6Z(
z=pc$7WAQvkTxHt=NLhyk3;RFv=U8~9xnT!Py1IV!bj&bo-BnCCv#xt>+^#|k&(vFZ
zGKJE&b(0p=dp?}8+nsJuMcokBK&xIj)eRcOQ$^p#_iK|ctET6<Ue!VZ9H~m+nLw>$
zE9!vT4U(gbu~D!|m3osJqB%K^Z2Sx#H-bU-zBc(H)j2#!Yw&?63n+3}6~_It;vz6^
z;Gn=2s7W1Oh03+AXH*Td1OC7?NT>r3xckvY8k#U-8z}884-(Ai-N3CzkHRacob-O9
z+v-#m;{mbk0Y&Z}Y5~!J2iOx}x9t=8qemUz>>6$r)gsaAAY{e$P1GETdNMA7lwGiW
zo3rSFs$u(7R1FIeP)<mJu#Sb(Sd5RWY1nl{QAu!(XodtkiWXC;>}%*7CP7U~Y6A+>
zXa-2W55>FHPq65fBvs&?_9__Bv0HY~`_QhR{BkUu>6o2J@M$^I^rWT(dJ+#5uML8Z
zf4W>=Utcfr0+%J%TP+*rg)&<D<z9H0dN5GXql&7zAQUR^qFkogDc(@I37DPn8uipP
z^dy?*S~*SNx~M8{n?Zw3V+Ab-Q%nVV4N_zTR`1+ocmzDzsw(kRRdK4kPUpq&pudUg
zTN~Kl5Op|vs0mKhA;W3Eg<y!+2KIrdtJrT=Dj1UGqFNJ2?GXx^^g77L<qcS7C`9kI
zZU=QgsRBAX)F|}8MR1Q>x7!WyfK&{JNL4^FCfgk}TQwYx@`FvxWtk|Nela{;$KkcL
zs)+)iP8DU@aVd|=p+6t)G20h<hzG+-t|B0lU@tlXN2Qvpyy`k*hAS}<*d;(&cCZ5O
z<Wk+y@KE9@FVKO<7_FgxjFVWP5IZSyY->*IemFrd`Lj800gg2P8HS+wkM!|l`gnyt
zjv^vyUPm84!{x;0f6#|TTW}_Q{2ev<Tl!d_kK^?51N!)De00MpnuIpGSTT4u&GT%Q
zB{stn8-0n5yu?ObVk0iG(U#aqOI_;_6+%B^-N-=0AA-xejR9qSpF>0y`8Y&$m4QRF
zMgTI1==2bSh$Xwb;r=*dF(mG<+qCx&v;tH73F!~nj-x;Rgtvo)f)QIaY_uhsUY&ZV
zT2CdKP03l=_=ghXi@nX=;o<aH;?1tG0PR+HyQG17AytENz%W<?EZoEy@%%;5{JGvE
zkWZ9ihs2}szK_ERG$EC&pYb<+h_ieg8Cy}--iq!AoW55b`{N-QgM)it8WlE!a)v5%
ziYHEMM;DK3bK<wQs48*Xkz<J0p8d+=YtMc)F-+2BcVKn0Z*@Ef_uNL0VF~hZOql20
z;a+}3ZSMn1XCEdT3BL|CxuCPf|MS3JN`J2s1Y1r?V$Zp0;f*|0A<h!KjWPLrZcILx
z7n99Tp~nb3Zq1CC;UQ&+C65y84#ls)cO@*|56$C|&xaGH^#5I<9ThwEN2%sA@vJf|
zD8-lLu0I;FLh^Enr~Yt6yDdC52ot*{M}b4beQMdv9PG2(b*F2<zPqdB78DHfg@oHc
JGSID+{tp*CA%Oq@

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/index.doctree b/docs/0.10.3/doctrees/index.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..4ea58c71964355cbc06f6b9004d4f19ba0b41c1c
GIT binary patch
literal 63422
zcmeHw378yLb*^k_G>aC?!q|9=i}9k7nCTfwmL&@dBTKR@+Zrj7Y)ph+tERhVx=X#e
zt6HNmah@MbG7d#p+z<%l<;x3+Nq8Y7knNF#d?X(a5&{W<5J<wBK-dBgh+`nj`~P!m
zxmCSP*Qia*d-7-9>AH2#t#ki-?z!h~=RPv<x_AD|3i;2w#HkgEm2(+0pRZK&mecfx
z^3`0UY*pOmW6jO~t@&_s%p0zo^G>x<&sj}x1ybY+#Zta*Rhp;pay`?##gdcpGg$4K
z^*JjdFAR7aGZ`bh-*ipmXuUdHELrv4&BEZRrZ-}`ZoN3uaPeh+X=O3*AXjfNS27(3
zk@!7OG0W=LP`*)%9%jtknYuNr(%?ri-}Khy@sWv||B+_H8+6S%k~9k=-l|fuVm0r%
z$Xi`A!M)ootn`MnVR7-aIw<9V$@?6u?o6I>Dwa7jncJF0p0<^9oyjA|vvsRhbtYM!
zpg5Dr#hFyplf_EjI+v+CZnH5{81@Do&=sqd5YNIuVKqxXhL;0w(JfipEANIFPR5TK
zFDRJqCdVjNj0Mzz!4lps=z)CI3F{n@_HJrN^|?phn527oQ>qj!Ocad5a|+KctSpR9
z7p|Lb%$S7@sDi@AQ_aF<_;)$}Jq!P?I@N3xeyFe+$!}803)dH}yJrApyHUwURGuwC
zgg1D!Q3puC9R)2+Mb8lf&qt2WOUJ--H3o(R++kFuIafDp1s%h)CkmFK*N;(j3<%$X
zTc}oyQgNnk))x$jdvUH}<qfxLl+81iKx>#4v$Wt8opGaFtrXpAy;zw;WZu}a#jz?*
z(Jh|!Q|2vK)$EonhGjYn87b@-N_*m|_<l2l?kUP2^)ap22jpwD<JPN{IUU<;y5SI1
z_p>@d6%_()z$m;>|6X?id;!@*olkkIeY7Jyf|z6ptga$`Z(&qKc?4u4S;+lxAi)m|
zU$kPyy;U>M>ff@3!h~v`FS-Q?l7q;SW#p>mG9+W%a3OAiRGAI8S~lHc&McJ{jM-`(
z4~}t@Q9@phLFLCb36V2JLhr0YJ7w?%rAm-7KEwR@#dyxeJd{>(wulUvz{wS?GLkqh
zzUJVA5LqU0nScUYuGW#Wt{5C6XI4mDF=i~I;XwAGR`S*P3hLQ1%Z6F2mB2aGm19)v
z1~pyXbt1_g3LuFp(u?8%WL>Y(!UF-E-cW#HAR?>CSd@#1!;5v|rNyBx;_xF+U9Cjy
zc~9k6y1=$BCKv&B!=bQ5914IxwHyFn`!tldsBJ$Txl2}9Z+d2JTRn3H^vnsry@%!z
zRSR0NuWn#pxl}_|e$Fy#b!)<{n=oba=)tU-QL@Z>g|Evn;7a4FSwp{Av$Mrq5gGw%
z$X6W;Eu9#Y%^2D_r0me4En7Bcj6<_VuHit16(15cz@D>WS$PX;u1GtCJso>YSd4fv
zAE_L~Q7u{LsEojl&Zw|Pg;K1*u5zLKNLnk_EZSt$k}97CXq;Si4*f1PP^5M2?;k)>
zgYv$gUxjEquD4xHb8bv_xLdXadSHFLn~iuEW$+F?!=<(9<DyLmL>{7?JU^lfgM+^G
z1YE6zEJYazD}S^cR$jBDIEsP${S?SZExl?<=Dy!;B_Tn*>7@1Tbdq<3?QO<#Tm$B{
zd%JPaQVIyBM%{(psaBv<T$s$Xs%O!X*@|H>KzBd~8DpmpoHNTcSV;Sh-+wy0Sq=7R
z7~g)L8AoDu{#l{qf2)fn%-vxOBP|RKG0+VLzZku)j~6Ep^EFx_HNIle_{JCYZ**>j
z-YOZUdNFcuH5h8ti%rihxNgnaJvoV?cxDb(Xk!NETRm5;xX|z!bQhC3vsQG?Qng~m
zho)up6_a@wTNuL1*n1MAZ46`?HJNkHPGWGM#kj~?s8!u;*{q+-&RNwA-pIi3ABdAT
zRJWXJ>8zE<_*wMC#i-S&HSj5kXKw<y0c3&kJ?yP36<w=tma;RYYVM3y2@kvp-DI&$
zYt*ovYGq`$UM<UjEhv@Yzol6@9(JT7BP^z|N6g@{QI4Rq1cAjH-E3TM?1i~Lv0p}V
zFw$w=?xxg^8+-3Rb_DsD^#>c4J8s;4{K)jU!Qu8u4MReAjQM6HC|G8GY{zEFEtj(#
zM-3$NMf7Fte9sn5G!s-&4L#}%TE$UV=cW^x|0Bp!ss?;2%g(Ax{>*ZpS;{p^rfV6;
zHADXZ4gCe<Skzm>_;+(7u;TM3z9DlIz-kY=VaYn9O!+bOCtIzFjlbu`qt%96Yq(i8
zP#N7lif-F=7e*i6?3a^hXY!45%>ivJa~K4e>8QASZr;4vZxk1*>1kd~VUuOIY!9JP
zb({F{hR>BtyPcZJnZF@O22{>j{2YL^AnH+XsAN{=8s;40R@Y>9rRl9N6z2*h{ByII
z2;{sT=8x>v_>@21-l#SCaJ=o^bfQY@5E`r`cI0dWKk(%<$lZ|EUR$UYRab(Zq}SwO
zf$i(afni_EKRr)-1#<+~MLgSs$RQlpUIQaG<eR!DXuv1SCCq%O*{|-2LKdY?o`c-G
z)royM64)Fy*v~@nsC^|uOqgQCUd2qJeKj6iAb)nmel*45eGJAvP4>h0!t8#q0e!`J
zU-ap93l@GAGYj=%&Napyb77p5kC-W_Y;uixv*L0D5Y`r^#j5q$Qgwc_O2$cs;3XzY
zO2u;7st0wMF=zuMB8_~}q1sY28+mKiY?NFhZrx(E<IlGllWj%|##o6t)B{!IeS8_E
zgF*T9FJCAx_8!zVMEbe>lUk&2Y%3ER5BY7dwaK-674dS9;^ok?c-a*35^rA5>eRe~
zrqww?$eJ{(7l5z6H!Dtx2gXaJ$!>?>v9%OT%oIC~xjC3y!Gzi@x=a`YGmW`%0|v6`
zSVpym={U5Q(?!Q=Sf{hmu=kebWu)0<%gq5oHJ7N!!WTlFHx#fMRKkF;u6@^!KsL2R
zHcMK-_Bm2K>D?Asyvo|`YU0Z0ok`3oOy&wzE<13^0+y>P#dm$1^`eZ%A|8VGTGQ#x
zXyw{TYrXHizlh}l(Wtv&x9>i^_voS9@b7u2sV%K@wGt*|#p(;KJd6=x@0N>|YN<M>
zEg+0US!pcmvEbcHKwDVht%WRc#yWcr3~1)FcS(XHRdbl&FIHq#EE?|EZ)CQr-&zUo
zqwh;Q`q{)s<Mlb_t&%T$D;*chaf1ja$cdF$PO@pvqX<8ZKiyiT41ln<29rZp)tWLy
z%VUDQSZUgC1+_Pb{N05bERdD_lD7sSvBun&+gy~_^OzvRPmb>VwMlO!21{a>ypD{h
zb%049QyJf2623#7$)rQ9)<R9=jdi4Isp;1G>rM8+WgvSIfj3z5*W1is@lKD@*70rt
zxxS9aWwb8qcvo=sQLUcQxCsQ;Ux1wQI=&Avu|KM+`Xl_KwY0e4B;<q3jrNB_3R$Mv
z4o*WQ`@jyoJS1xwSks^ur745CN`Dz<97>jhvtan6ijapn15M1uKaQLsM4YIM7Eol_
z1ZJ+E4wldihDXw(8yM=;OAAcTd>zXbLk10+*3#%)sXAkpw5&!s+j&|=XZZ!^^tdr!
zDCP>mr-OVjfqT{}DQ>xJ1B)!kHCHV)%9Y7_6*DZ7C}LIRPgeZgjWNrV%t@k(%Q@CF
z*22VDv(&)EY{jiFY>s-DUwrz&_qj*j+yda|9{E{97^xrc=bt_dcc^dnD4z+XRxPVz
zTImv5<j0V_?c`ESMuHx7tsWa;AS(DPi7#|*N%ohRTCpXH4O1H_#SpdAMG#x-=~(J7
zjCRRi1ic-w_Lotz&?Z@XT5AgdiZc15+D8Jze?Kn_$9isTp&CTj&~pQA6{1Mf2kKql
zn-L6BcW6peSC-xchg@ogN7h;}D0AzLoZEn^(>3Ibg+W|6#7;>S7S+D;ViCD3_@`%$
z9~5F|tPru$zysFsiWPp-Q?)v}+j#Maf&WGwnQ(TpT+~J^X6VM%3ng0FT(wbgV=tgp
zJH!@DCtJbvL$=N(Fc4vEYX<p|tk~s!qf*3-VV23-kz)&!tgx#Ttz2<(GD~{~pXK<w
zGUt~Av(i<XcFFi$wO+R{KZt$}leeHahZH5O!JU)<K%6=?Zj5c&?88wgZfloLiingd
zl|N~iReKDOA$!D=K0hjV$#~@9@sZJ};UVEk$v{<#RE&>5XSWlq%WENSQ{Lz$hV@pd
z9VzxHSaaB)gPj(5JyWfg6!$_}t)stgN979&UI{)ZlV4~d(>mBdv>4C-d=bk!#fMmu
zP{Pz(ycdyasnPgrmekR{jSAI1FQ1WYBwbc)UZn1TepFl`458%YFX!rD;ZQ8vW}xaa
zsPK?U3`LOqBzYKDVxMHMY*N6wrEnT$q|n+-lsi_3@JfJJ0+%R48K##>4%$-7%d9zr
zi7xCI%;qi3tosFQpT1*OXU#gklOr?jC^2k7=AB-ivF5Sb#ae7fd!|u$tJpu*;dP}^
z&OT(-t9;*1gv!~9HHT826)|Z|0UOt?V#6CDj#^oW@Jz9ylv*fcY^QOQMOc`S`w7By
zQkF!@hvS5!4>mCM#~n;<KaMZ?kcbWlcuHn+wwg0%kby`+u3+lzPgpb0&SAS{XoMqa
zO#a(3s&tTOiY0`<Ep?ztA~fP^LD=#Yd*=ooXnx8hm~JN=!H1x-!oDX~xYpVlox><4
zi^VOh17cmKeZCEBS}dNyR@EXF&^jdora8<|h(c%;olR)^o7%`E%f1PXzVkcFBw?H4
z3Mraem$ztX-QG&4E*iJ<=ds8DS+34zt$MxM?OPb~VUsXdce65@3O?LbTHPWx;`Ahf
z!3vt+ZHKvP@~^rGXy;&)UAAm-j=i-#jmidSG=pN5y;#_lCmN(mr4+8D2@@t-vY%fW
zbrob6C5>2>Uk{H23l|p*t_ucNByppf_JR;yFt{!lT%qQW9@5t?ZF+*y3kKH(gNrhv
z{tGq91%s<~5I~477+gKr{QplGT;c4QO!3}`sk3hDV(mA91Y2<0?*X|rHnA2hrFd_}
z<dCtifoUY!E6yDu+N2VWMsZTfXw=Z%SzK7a_!FmJunTl{7W>7qU!sVeIyg_lDF>_-
zVKLj_ezm$!k}>2gog6*ELO9Z5jt+at4Qzqq5iHI@%0_p77&B{Dh5I<LEY6`l_JGJ<
zlN0rZrIs$R_vZ(P;jmVJfOv+O>{!;!?W3IpY$`eZTrnCvakS(Nbb7)NaQjX*3B7+=
zMR`T6DDg??J65Kjgtp2xcOlD__HfuAPVJ1Qp7JeQING%kOhhVk3p+*8@($n8IwPxw
z`q~T$Z1-sRKZ-_=DT8RzD0;<?XmlPEscN_kvZbafP^Bm!rgVCyz!^~&lg->Uy98lq
zYU<-@pZOYgLUXoLO=tC70zoc0P+p=8ZE1Qdg(7WRjxMtdYDlg|VWS<Ur$@WZsi~Kt
z+;yo#sqAn<(4QgJ#(yFU!TeXZe3mTE$iw~;-2)d|ldSR33`{ABZ76z^LlU-?!V9g5
zD$n>qY)xUmC+6d^r@(xCWvolo%*U~0?{3I>{Lbsjy%U6`vh%7ppIKIK{;M(8<GuMc
z$Pv@BSazZN3-oc)FH20YJfdQ>$**kWwE_e(j~XgVY-K=)T4_`pPS<2y<lrZ<iZxfa
zw1uc(eH&Bm(AhZgQbDr}`g)(0=o8pC4eJ~ZH1uix(c3}>vs<4R@9sOT!#Y@!(72F>
zz_x(S8NDmdlm|ui?Ttz;W7g~Df>I@Zr>uW@8^1ga_Q%C0(edkzYeg$9QY(;T8+Gxc
zORacGf}kp;uC#s_Y~%mYF8x)|PhF4`5sA?YassK2**;2~68np4Pk{#hwU`>~wrlh9
z<Bb}R%3)-^pPL}>R9+~8ZBd<GN9y+FO5MIRmAd7g%|}8C*|YfpY(pCM*34i#f#qWS
z1D`n2PGfXcz89QfzRBX~Us-$YUB9<NCoMQWf;V|_oneg0*}M}xpoimb8UL_HxGmKF
z8Gc`FUhauJDzZ=-_M5{3^x_pK*tGPgDEb>f*=^2-r=VWX+ztD&@FPSCUQO(uMohSu
zZ4D0_8r2y(98z@_74X+dstOoO78OKN81_5EZ=@;62f^L1fwDgZ8Qy!gUX_YV7UTU<
zF|<TcA>_Sb|H-ln@n<N+`}$Uhwf-5<w&nPARE~JMs3?-eus^%3qI?KN`MbUqWtitz
z+m_>rs2p0Ns1Wkru%BF3AwG;ke7kRj*pNIvo0P3}n4s~SNNd`tNRrI3FJbD`yA=N%
zMOp*O{<M?Z_8RvcyB9mZvDdy<g^|ZeR-Cf;x3%*WQJ~K`S!BrWFm6siYmJN~itp`S
zer77Gsq@Mr0(gwb8um@g0{AaLIeH!dciu7UtybMp)4OPk907R^g<2f}p&k#qu*OW3
zhj)2c0~1{Jolt8JPBS`g5v5RD`J)u^(-+BO4eTPj9Kcv39r(T61L*|S6N`)RKBDkG
zoC<Gt+INQ((rJGzws-h3@qJ||4z|c?2Oh-ap(S+67#kQl3v>D?uD+?5AQ@xYw(fa4
zo#G7t7JqMPeGAtTxLtQM_xVHe`IeK1W{!&o>c9iDjm;G^<KPU#us4K>RqWO+I=bDk
zF2-?p&}6u5hUM>}tF*HU=9BmXpr*V#&L5M=c<f7Vs8VvLYc=~cB0>XWB&vh}9-Qu0
z-XS7h1RFPzQTM|JNo+8jUUnUag6*A8E^V-gnsv9$^dHw61`M><LP-Sp`G#xUXdAq5
z`kv_{FPK(<Mh4q!37|6A!X#nQY<X+g%`_+%0;}^AVDZ(U?6DJiW%!Y{R_EZ}{ris{
zIDR}?fM3=M5G08TAa4!(ZDHO$G@-BnpF{y3?^^*j-LZGt7@ILGXACnZ)6@ngc4n;l
zxUqF=V(Tsp+i;fDX&E#8VN}4Lvxoo?YQui-vH<uS0PqKW17OX*V+ZyhI+5MC_t^eq
zEq**IWGq=!5J_R!pIBBw{uTxKSl<e=?!e)_hwjY=(k9I(YEl0b6(x}{DvYEt>~Acq
zFn@=_e6??dS#{rihgzy*U{$CU)cc5ad1csxOp)3y{S;VV3CjMcgl%{2J$_gA$g%7_
z2VQ85mGe8`ZL(l)m2lgRTgHt#4lKeC54zw&hXMIDQ9+lJTLg<_WY|BnELc7bSgz_D
zEUOM3z5nK91KS=IRK1T_mseO-Ul!}10qa})%K9xy*6)t9eoJHm*z(G-?_Cz_p9Sl8
z^^Ns4hxhL5q!P@i1hHgM9Y_kp&Mm7TpF=^ieJjZ7qX&**f+txE=b|zMDI)gerC~p`
zEcQPS_Rsc>{k2E$Ix>AAJAL2bI}RL67UES=A>!$xqDT_Me$BFq^7kmpEBjWImB){_
zRKqVtC6Lz<<MPI^-?}Wu>5Sqn{bL-{1xe_CUt^rFBgW;8VZUctjDG=)zq@aY58Zb>
zd;G-S69<yqe>CDgN)r`9UK{pbEvpD$L=isHw<27!|Jb4X(So!09@=+c`glu8z7mzB
zC23S3NoCkyTULSo5e52E-wL#9f1CQacpx%R<bA}tyfW-nOp)3^`4U)P0m}XuD638!
zI^0qLS8A-w`-pXUW!P6Qi}f#q^(*?u`VdiV$Np5rev~FEg1k2DZObacS5SmZ--<AJ
zX!^u~gRPyw!KegblBfXk*02vPs{mg`0S@%700Vd4dt~p4q$>I^5&M3Eh<SNu*r%7p
z{MW$zi~7d=&=23YclyMk6E95i--!5+(nLj&*M>d6tRnmqis1CE2*XE??LRcV_uke?
z>_PvHDjV*P2%e*IyqX0t?4MdzIld0cpFEFpbe==9pO2BFy_dsBEcj`2%bcwVW?Ex&
z%WGstSq`u26Uq{eozyb(YwG?U;KL_5i;Owjh$Zjxd8{N%6rBlE%~tz!d)jRE6->d&
zxwxC0+mR$bT^(~4L>D~W=BnW*m|jY`@Ela!8a*zmyx&)q_wH1c$GPg?2`OZ*`ddqI
zM2D^@<DFPF2|3c^B91<!IQn3ie=ieR<mdw-g>dvlZ1z0M%~8SBDhAKhMhX1Hu80VI
zvvdACT;35^L~uJH{(#hq0@j6iYs6_;5!lBIa!v;`;ZxqR{(mU4AfJ-l0o^A<=oHvV
zmo8dKgW4O3;v)WJruy@V%(~B1`)+Z_fz0CTzTxbbE1x+@_M#TnZQ}SzO(tTpP~QvZ
z%ya6jLlu?HMGv)k3l5oO^+Q#y9O^v{e@)6GrnXU@ih?VHIBbC#PVAY+3XJkD3>Qzu
ze2Zh@NIags<hLU<y&e*yjNeP(-L~>nS>lx^ana|b@>Z=*VN3=-jmUvi-huvr6)FR-
zPZ_pBsW%z=ZcK*aI~Lyp;k;fvRYMuTjkV|uOvPDn=fkr%*dZfrMC~6LL5i%%jqd|{
zQ_KhUrp+TG*TbtDbc;yfY!UZXVY=La{~B@VPNful#P<jt<fwVS-a55eGV)a`yvEaO
zc9JuHBZbbLpRyB&{%ghMaXSAdKT@0-c%a8`?q|etB|1GD(KA!b!7r_w758V(*v!J7
zO-#LseyeLG_%z<bQ$+~?NFkez+Th^lFW>jEX#J#k11BE7&_8gYzJ5UJD{TIvk*<YC
z>NZGS&JnzSjWug+4|T)$RUCEyFwH7eoRMp1Dik50W4OZ1()=wuH8}T}l{QfxQ4i`0
zDooZ}*g%4<WIRqMZSNTTxZ`#^)jMDX`#<UHA>Q^RwZCCcr0E2LMa0AFFN&cWDOhg}
z?I+m4L{+nWB^rv-kB-~BNduGSTo;pf{ZZd@f854QMn^@xOBMCbR7Itkxi6%knR$34
zuVDz+#JrQiWfa&@L8Bg>fU+gIfx=R^ag4+5u&XXNP`4RycV2kK0XJdD_OQT6Ejd*K
zCw|U^V)B%JBSPqYh0uwxyuBFW{*w6N%P0&1R9LpxeYHPeqUT)J9TI+bE3K0|Py<7r
zc36i7x><Y=cDi^%b-L=#hoDEpNmq0#DlT~s1k)e1D!3X0M{rH_^>Psgy@m2DEw5;x
zSqKL|xTj@yA%klmB*A%I{}8haREB=17rPRIA8L0K#09X^+_kY>u)}5}ebx-xOrQI#
z!<WZfl%`(S`_kH~VS_h4Dp{q>x@g%;@8jWf_~Hrt4~JXf+Pn!NvHz>mBoC+3B-FJJ
zg%qM|$Kty7?(nR<x}Q<Zn{bSej+=KW)N1IY(I$gq^VrfEG;W;JoiSb9-Wc`3{me2d
z|0`AbUlEojjV9f~dJlj|YSNdSrzWN53gC!3tL`c@NZ(F3ihN*SECvKYGI1$D56G;Z
z-6QxF8)S?I5$YzOK=Wo)eet?qYWuMuRbrIj>(>S^0)2|quexQZCsli)Hl(-v&#sNI
z;fXGOBU)X*b@6z-O=`OMQjuFoV{rMkK9d~23>pVtb~Sqsi^}VwkvAN+=ytDFA-BE=
zVX=Qp>7#e0(nr+CzaCPEKE6G!k3IdG40m1~IPovfq(*?pR|IlfF18241kM*{#S=Gv
zK{sF!1!p8s+c-V#$o*VU+qkd>*A9`I8T#5lT%TBotgBf!%(mq7a#bZS@qlest%t_)
z(~GI74*pox!FxkQ)AR{@DSts_#Ks@{Ptf_k$uUDPZ>fRC2}^C$xVVT3&w!$z#4XCO
zZA0w(lUY>ekEk;L`LfEqFJ9*Oh~nqZw;zlKYQfdgBB#<5ZVg8d?258xyr<&ZqyC<4
zby*w-32FikGY1sXa1a=}*U_4Sd}3St6EpEo@NM!FeywiDEC1(K<2k|4ZSl#(w7ul^
z{#;VmX+(0NvP#y|zp}z+E4}Ea&}RGHiynx#Xss9BK(*hY6Aj)4vc7a5D&16<KJ+TT
zZDEwu{z%)D*DXm1l>I%W-@cPdzp-C^BBYRh^@ZqH<NA$v0r@i~HQ4O%*oFUV`4K;k
z-KVbwu$TpRUbWy2?beZz@`Bjhv%KS;3L~G{4+^>Re(dB)>?7WmnL0JDer&^!2}Er_
zb&6L{2J;~KTE>T|KBi|U2D#YC(o6TIYC@g$)F>KiKi-jv3iW4T(YL9!3C@s!QS^~=
zTa7X}WNjZwrgnFlSUD+fn{coS_s5K$Itj3lPx8*q3zgLE%F<+S@cpi&u$hWJ8yxJv
zK08T$7BuD9K9H;Yc7z!k)qG_;h%`rSK0HVTvGp4{+jWqt`#6Crquc!WGw;(Ky#*~f
zSP$;-HiXQ+0dS#kqx{qJRzqsG>p}|AY~|R9;ej89T05j!?=bjfpwQxy4o8Rhf?6xI
zgxCR`#ik7$Y}3l-t1J$QIOR?%&ZY~cT8ZTZyK)l)kBAzj-=UCF>}SroJ0oJU(JjK5
zqQNKy>hri&hbNXGiaEw~s-M)D!}S4`prfkGbs{5yKSfz5;tCS<^=Z8Xr!&SKy#GaZ
z1yzDY17579rwVda3}QDzaH3pU@3`dqfmIjK6?CI54i_Nt1&;SPO@&Rf-KL-QahVJ>
z#adkkBVa|R-kQj;r;R`40;&sF(x0!`huZ4=vucA*WSw@|b9A`ME+Ei(2_w$?Zg18a
ztSf2Edtk<ioi?_K&+58#_neDO7=CvGQ!ZhaG2zqEA`8Ul|7Qq7`IN?TOys_E6IsT#
zhQp1x^l8h|$M*VD5&jZ%r`|+uiVHh9CR2SGJ0sPbp}WFP*y?;xrB6lHAyjsrI>oSO
z(x{ejN5Ug<JmN#D1JRI*W|rTi62qr<gDo|rk|s$)HJ<Vff|Hxn#w`UJb~tUqhL0*1
zS^S8OL#i-4m>2$Jl9&s7Ms<Zd`ZR9a4_p9LnRd>e7mwn$(pm#5Tl{^E?uPe1><CyG
zeVD2nTl~hlFDHfKFPftE6ljW<#9Kzxxp~jj<t<pmsB5E?Sb|Vkmt4pY%fHJc%=&|M
zvsMU=`#`%SqeE!yS1Qf$id33`Lz2aiLWU%-i494-$2d|r>Ni0(5I}=e;|vZa{HvYR
zHV-v9qTFnXE|AOGqurn#O&aDD^UhgUn%DGWC9`0=XLu3h(~`HSM&6`q<c%S|X_hn|
zqeKQ(ldzl~cz#d1TAG$jb}48z14<&41qD>QSx}O)o0?Tk8G_HPy3&x1e4|`5@>PsP
zxmA$kM)-`P&x_gueA2)-r=hmKV$R6HfK}WUZVvVawakV2Is)qkcqN~~%p29mQGU{@
zkI80Qx;}LF+=-E@HIBKhat+>k{C%`SgJm2=?C*XFx4~Y(vJY5>LN6NnaY%f>C&ynG
zZx5P=UN0irPBp7Hz3XIAeO+|&=yA1~Ri;Gb><%5CakgW>?+vmZ=;>aPhM?JhtTe@Y
zQ)vq7?)QWgqPyP`*WC{Wn=fg$>a24CPE;!S$F0akw}45u)8nT@x0dzHh&B-=E79=f
zTf!Bi*nM9qsXgw&ru^}#DYY>_oNMti={_BeoKsT*g+C8bXg6|SiE;(ia?yD7B@xw6
zBuG0CKzM4-Kb*tw$r%0l=Z#k=1K#=P)dq>EnRFYa{}S6)AWF%;=0j0mBbL5DXs<dW
z(z#QN0t?;n-|a^n_V4;eLu)!Y1A+T6)o$<L*hWAN;baEUs&Tkp>`UtC_$Vg{X)^>~
zSnI(SEuVO7G<KR~blktTg|=u&1BbcD3N|Q~M~>s_!{`tP_NF&*XTA76>@4l#UyY99
zf{zmmDci}Z-CNNnrcN<y?rP^Mi;t2Vpi{jiE~aUeTt}O}2r%;(&Lx>{9Q%2sUnXj|
zK69aFJL$0>*qRO1i72;kik|AM(v~x)^2>2u0WZo!;tjr0$!oq2@p-zITj345)tn1I
z@~!VSJlq^BY(%2V@b7Z`^A~iWirxj4;|;>SJQo$3r<!Blz#%+To8BtND$O>3ygBU+
z!gh4cQb``xvgHK|MPeeiflRzk-pjHk`ff?ETC4^Kzb$WVv63q_@)ozV$oK3khHzH;
zN(NUmxR$|n2rO?1{_pcv%`G(Vx!4=bnQ|Lc)7yaK#Ih0CKW4leyv~)XGtEc6)rBH%
zZLTyIy><R~{D?=rA>{`Sr;_hk;f>(F8+@Po22>+;b3Q`Az6>8XB{KM=eIugSDGlPU
zaua&^-K?BdjGu|ux_60R4-@kkR$@;W#-|$Q%;sWd6LkYBN4kJsi5GDXgZ5BMRAGtg
zv^RnTH8~B}nCjFAp`Z3v?mc>lbznbRy|?ecUwc0S%f24rJr~<I;E%WFJ_iGUgAEK9
zb~o*t5cR0N3E`qWCcif$yk~{IMIN4m@Kn>Dz#sb{f&@zcn<(vId;%qVD<c1sfboX+
z70k*UW)kO`-u8m))|}mwlkf{zXkhnKwLFP>FGAqqe0P%FW6)Df)~%9d;&2U6^oH)V
zto)3bJJa-TOOZv<aT=C0i9N-Wxk9z-Sj=nn!J>OtW2WhC={+aXt=)%PAk@_lXlmZQ
zy;D!lputR*&0=LTqY6H`@5uCtV~6gz@5G_$gPC$(la!crjO?qH%edy+UFcOf#_ShS
zI<gFA7+44_B{D_)Oo+^fDKbYGe_kR}SQ9iP@8y|{kqwMwSS`Da04Owkzxc2%>b$lC
zdZ4Qa2xL@ozIjle#KCRXnPk)?%&SRr-pLjqISaL_n=PC5bJ;no$~|?;E)LqRx5jUq
z6MPl95Dubw;5M4rDm+>E4qz&b;MCVA^j?9g1FFiBy{tJZHx5gpq90_@MdqSH_aNx4
zQYw8+$ozmL(AW+mf}Z6``w{dk0neXI@@zkh3MQ|S)$EN%<0k(&35QG*)%rweMrvQw
zQe!;D?j#r>>Z!Z$T;Lc^V_?mk<xZfd6W<kDl^~kiZ~W+ZmNDNLOL(Ffx*sPlaRM_u
zxe`T$#)SQI00s@<XZa`9c88w{DP(;5cPQJ^9&3kBPi3}FWwxKrD)9_Y6WZ@!b~G%$
z5VWHxYRX%!$f6Nm7z5saGvs8cSvYSMPh&Uj-y_A7-Zh!bB>q=<PZr#AX_8x=&Sm(M
ze!2^Eq4pb0{9Ou9yyH#uvf)z9rzm`H2hkD)!OaYB3)v@-EjKgxkZo&)>@P_ehb)W=
zAludg*)}eS|8@AyULpH5DdLcA>j>G$m^cMwpC)8~0iwP_wzU<qC&*YFvM?%uY-<Z-
zTM60sNZL~i38d`e;TFiYc7*K7l#qRfkbS$~kWIBhb|p&@hb)W=Ae(A|Y>JTm5J^)(
zc4I4KQyn3@nu$|L*=Gsa6(H)5lnp_b-I{5G*lpx1j#wBq<qZgx2ACfK-u99(6<&9d
z;z{r7K#_r;j&MDXX;Z-UIl{FYME!$nSLW7M0n3uFI9y?rzy+!}T#Nv3c@n0A>kKJ0
zxR6mtxJ;%^0oUgV*C`P76RusYaJ__l#o-F0e7JTc;o3#Geu9Ll;QA?2#NgW15w4dp
zZ3?*lo^U+^qJF})vlXsiBwum3!YCiEok_TM60Tn%VJf(OofI*+c6Nm8ai&cH*FO-h
zUjR`*;ku<2uJ@C#I9y?r50~bvnaXTe2F{%g`_D+23a*cmA_mtj9pU;DrcD9Y7YNt;
zK-5pTcC^Cv74j8_D~$5t+L4s59fa!}BuoX@zmOsZ*N%>GeT`{T!1YDK^(7GX6Rw+E
z;aWe^0#_L2!*z2KE_gjR>}QZL6<k-5A_mvZ9pT!*v?<{FN5ZuhME!)T&6sE_`HD+d
z80EvYJqg!#!gUJ?Q^B=|6fwBAcZ6#@)24vyON46@ME!)T&3Nbp`HI68M)`2*!y(aK
zG8%dz2~)v!niMg(IuC~KXWA5SeVK3_15rQWYBLs^Ctq>6!YCgueJCVw$w=r&Ntg<*
zmy#j|SLcDy0@J2|>nnt-0iu4w)yAs-8S)i}D~$5t(uY9;myCjbj)bY;`Xy4t;OcDE
zznN)M!1Yza^#&022QJP|?96O!BVNBx#^QK|Q8I2MnWnuk#Un9b@4X~Vh1ds3q0LS(
zr;hsTJxrVevab=ccY~;}khKx9&ycY=WMNbQnJ!}rG7++WAZaSdzDkNXWSyn#b4;89
zvVS6Ep8`>TAmdPbXS=cE$~7&Bg;CNdL8ZwU8YLsZ+Ykv;;dKcqv_^@HI!f38)24vy
z>xAnf5cLzTHe<(|$X8sz!YCiE#Mp6XM#hfMAz>=Gwvi$RSLd<g7}KVJ>l=jY1`zcV
zt~O)GL*y$CR~Y5Pl^8qj%*fbrnuMv~x{nkwxH^v=?_t^$aQz>`br3}TgsaWiu|&S&
zaD`DmT#2#cPBnIXkc6q=I!B5aT%E^`6{bxA*Eb254WfR+)y7<X75R$86-N1RCCt^G
z88KIzBuoX@n@ACZtFyWK8m3JF*S84QD?!vxxZ2ngzd^p@aD`DmT)H_Ss$R_1-zH%y
zxc-0?F}OM#6YpZ$6mWf;aJ>UW{e-KHE%7n(6^AQ~^5N1=34u#2iBFO+6<nVsMGUUa
zhQ!C2HU(V&Ot}6MME!&7mUeUYPm-@VTw#>J1**6q!3gm7ZzN0w*Q&K~xR6mtL*lzB
z;d+8_J<(UVcC=fqy_#i+!xcseT%d}>#R%|bkT4Zon-Xv#qmFQ0%d{z^>t6`hl_2V$
zbnVErQT5LwUvap?C?Bqbsz)}2Yaa<y!F4w&w8n^xI>PmQrcD9YlZ5Lw5cLzTHmcqv
zUvap?C?Bqbs^5_jRX<C@RB)9^5reC<s?RZP3b?*QxUwMXCtPh*{maN#9Ii0Rhby7G
zb|~HTC<#-+^=eYY;OeZqew=Aj!1Z0i^%4;E53ZXtZLIpo$yXe%FiPM8Ra|#50=)fC
z5~hOdouts<LPi}M<1aI93b?*UxPB2t{e-KHRsSdCD-Kr}<-?V*>Tgz7{f9}I3a-B*
zMGUUaR{aN=HU(V&O1Rz+qJF~FW<}_0<SPzW80Ev2SP{B8BP&ARBw;GJzC(%_T%A{h
zzRt8M;QBYh^%W5H6RtKZLL1h#z!gUMa3xlRZqCSx&@)Mx3a)EN5reDqiqJ-;O##=x
z6R!0j>L*-nR)n^buefxDQ9fJ=yX$6UckLo!D!6VZMGUUacGnK3O##<`5U#Bt>JMC;
zgx*f8ek8H0(Bs6RyiqTry@fwQjtQioh9q%~&j_&iBBn}(T8<P?dRM6pIcM?pjtc()
zCQSj_ii^R~2@ow8v}o&T@?b`%3*-*VUdCXjXKbhMjoj%g;O;iM6jm?}_wlYQ=C^8l
zYBA^}(4k}C!jtwHme1dLd@&0ge4IOv!(F`Ej^mpY9}x3^kEskET2OCcWLumOwiBI^
zgBl|%Q!#S0&Pc0@X<>xl^$*H$KLz!h&d3cKBLk@z*`YJi+BLK=!tcfy*%4#pB8`#3
zRE*rBGt%0nw=lx*#u&LJ#>l7GE%`DsoQjd1IwP&7SPLWkZj6zgF-G34F|sBFBQU=s
zM)0t-u=2YaBedUj8F_=o$huUFY}FZQ9s0B&vMb35+jF!Dzo9X5Nh(IR>5Q}vSz8#n
zHOUCubHvCojgd=JF{0^_c2f;;Mpi+gu_|J96IUdY8Yj<4!3m~?B1qcJ5w&uX(5;-I
z(lJ@9adKG-PIl^?;9&`IB_;{w3ZfV%U*Zgv--0hs#fc`bSmW)1lZ18!QH+!KX`DPO
z6(^d&VqU%nP7>;sllgk>{DQ{Gm8m$<)GHQLdf+6XU%3jSbMlDB$<?Vi(ex`;!g}B&
zp<uaurgL&i<K)^@oa~C)4wf)`;3T18x$dcRvRmWix>TIps&mr1WZc?{6DpPq);cFw
zXq-H|7f!~Mg#^jh6bheuKt<QG!EOVcnQwE6-*3p*r(-7Gl6z>%+jK=6>=x0P`3sGi
z8+&2Kw;gxs`V9|D<FYNGX+adLqql3EY)Zw6hRUv9^xL+CrUg-qlUHb*Y)-|Arr&n;
zqTjY9G%bi?oD?)po|B3btw-Lqq-BrZXInzkf+)tx0gaQ1RGet0{jSVXrad`HXj%}(
zI2qMAnM}orX4~(|EM?o1lZ2)PQH+!S;O1YyA#Y8^iPrmID|ioWC!uM%e_U_Hf2(n_
zJryTf@3X6y-e+4v(}F0*$?s~M>`29l*8A-0rT5vU>sgEeK@{WU^%^HTQ*om8KJ5;>
zwDdmPbtNmD#Csn{<K)&9oZw(m)DN~hrPRtvLdSwAhRIQlljruriQf<6_^HMUpO%){
z?Yfpl*F&lpGZPv!d(ttZX?$ecLqE7(SG0<mxXvHZn7KV2Gn&!|Gd)<f+jU*5n2D?X
zFY<_@uUPh`V@A{aU}mW)9Vof&y1G@&#5MmPYs~EH$V@a(<_(<<j!;KqJUy=S;q1da
z5FO<-<~^H7_Cr@@6Y~WVhrcI^l?l2t5-0i1!nIZ~k{t7HVEVwbP~G@ZgA|(_x*H;e
zIQhE0sr;XW$(mL$1}5e=6pX@3HGj#Y#rF(&S6b)bEX;*JmEZ(_c4i?fhoT>D+EbTc
zMsls=UC}mGG2eU`EFytkuz=y<yWVOC+~urh;d-)gk+(kAsMq1<AnV6ZduxN3Qn6ye
zQOFRkA*F*Ar|Dgqujc5C%*nt56}=<m;jQ9+vjiU&k(-&#)86o$x|y_E2mLURf>Q*u
zT*Jc}^_eX4K7+>*|FKao;b|RQrDW+ugKzP<0lHyXXnGrGt5p{c4K3~EJr{ZFc!e?i
zxMa`KyD5Afc<brhww8s{jxtCcWO=oUfu|0M$<pCkR<4@|%lM*CP%<4l@<8F$wISJ(
zb=E4;(acD}EV;qsfOn~Nt_ZAf`$ofwVh8fpOk)n@>*vjS1y~^koNSd5GwjxJuef*y
zS@hQ9nsGQ|wJN!4p6+nG;f6aqv1`I9;`cT2mszV`uhz40O_DFcYYZw5Wy`ru?-Jjo
zYn01?<kIx6O}t5DVgCpO$Xl=SZKb{@{vtu_ZD1K30961)yel2TU4q|~hB;>e@jRX{
zhOZs(8Fly>uIICG)dTs!XXr_2+FK2G8nY-S5Gm$ynIc^NoNE?Vd+T{!ZZ?YYE`}hZ
z*}!FGHWWMnD-q&#vI0+&$mSA>0lF23)gMLG9IKJ9X3xP#z_hmkZ3S*svO1+m30m3N
zqEo~LZOki+yT{BKT&WduIT$nuc+^;n!Z>IGxNx*uLGpEeGI8Tcw?*FNavv8QBUyE(
zK@BsvJUkDrfm4z25h8jiTNNayG6z8{70X4pdH0IX{_}vhzGl^;hA*<nm>GDO$+CHP
zp_`KV`T0z3!G&9qOtn5YnYYePBBe9g^qxryVFeWM-CjmTxu}>S#82Efbu*A%U!Tn-
zKEs&kGuH&(P~2)24ZUc&v+^17zW|AK%^9?!Jl!x2dDlWF%Wy92H_uRSWgU0{wct!?
zgR@X^&2!m8ajsCpKgjPYc+!EmuXW%K#mzq0K)ZGT)HCE+J!VVQoT)rQdDrF&CYli3
zjjHyBsuT!8eWp>vC)PtLi32BJ4?GI#spg86S;#=37&cN>KrzPCZLrESRvvA20pBWE
zmW$k;nZp&~XR;PNyOgrH%nzR8s2LW$l~(0!6Yd|pA*CYFCLvyMNKu5qyID8{fnyL6
zhD-4wh>HtN2~mJ^D+ij{+Zc<bPM2upHXA&Qg>GQP-wT$%zG!;BFBN!Is=<Yd8G6=0
z1U+j65!)b!;x{6Q*vbfcMF=9M7{N3D$WtA1$MfFcnTNLV%tPDqo;EI?c`Dg|-pOYk
zyY-)M;WN*b`p-M~%!8Bu^UZwb$w2>kJD+*<&3_h-dA7@c7KV9v$$u7pc{)c5fEf`<
zz{4j&grwln3ZdXk48Fjl1OBs=fP3TpXDI<UfBVl;0`6}1pM@iC-}Rs6gWR9$Kg;*H
z0aKnie~a&NhoL-k3mu-hh0cGL{J2NVf0q2X3Ce#KdhYU(XKrHwJ-4y=&%z(~Y532A
zFgGIj&w?;l+WlwwK9`c^nQM2*kBg*c!&^;_o2SSXu7zN&H63q|a;M_PlyPybJ&7*D
z9%t}DNSplu2ERFg;5Qf?T!~;mgJ0$2uQ2#&h?w1E@O<1IX76Dz&%kByb_Q=_@GS=4
zU~mnb<Jng-csYZYF!((NzsulN%*tc%5QBLJKf&N-3^tLq8yNfq%4NTd!D9?w&EV%4
zyqUq<7`&CiZ!>rogFj;MhYUW<;DZeQhQVJm_#%V9XYefs-(c_`4E~kDn)L{V7+k^N
zG6vT(Fc?fS7-#TY2D=y>WU!yXaRx^jWEs4O!5Ibx2J;MD1}|ms2!mHK@EE*_!5bJn
z&fqN!-pSw{4Bo@w_Za*sgZDG|ID?Ne_&kHpF!(xyuQK=^gC`jb62w&up21)PgX<Vv
zgP`FJQ#j~Di6W!KV^O4IS|npyq+(hmVp^nOS|njwq+nVkU|MQ_T55h;YJFO2d|GOI
zT55V)YI#v=cu{J1T55JtYIRX+bWv(^QEGBgYH?9&a8YV+QEF~cYHd+!Y*A`!QEF;Y
zY6+a9$cs`ti&8U-QY(v6Ba2cSi&7JdQVWYx1B-(Gq9DI0s4oiQi-Pu|AiXFkFABno
zg6^UqyC|qG3ZjdR!bZAWytZ(YG%fsLyDB_aHL4G@jY*?=<YN4iMs+vam^7;2VH=Z1
z^#T5pMzt?&RJ@H_H7ef0su~sV{ZfsJ*T1MnMR(?^QPJ6~YE%z~jq1nvOBxlI^Hrnz
zF-pBOs-NU9X;iQ0FKJZ&gTJIvy`8_LQT;Fel1BAD{*p%Z5&n`!^(p?6M)hU>l1B9e
ze@Uadm=Y<CYCV5Rqq>T}q*2|(U(%?y@s~8J=kb>`s=N718rA*$C5>u^zob!B_)8kq
zL;NL;>c{y@8r5t0OB&UG=PzkgzrtVAsD6vTq*1+>zob!ph`*#!eUiVVQGJ2Gq)~m7
zzob$9JAX-|8VMSeeYv!(b-KAEHo&?Z{0oY)041$rXcY(Plu@C_(14Rzm{;YQYALk9
zB=WLEWSDw5mg8{nRUz6K%O3-ry2}yOGn0AwZ{Rc&HhZqxpda|Aw+43_mS6_K;K8_U
zaGxLl7<7kSK&kJ!-g$ZR7_85lS%*Cf+sDDML47zh;q_>EH(l>6I51&@*l2(`;QKfY
zy_5ORQ{MKwps?y3JsQd$Gvv0!a9BUe%VX#nANW}q^}<D7CfZpfo?AyYK>ID}O3bha
zmq_Og_(RBxyj4`AuzL?p-+6@NxL^PdOPC{UxGsYe&;ga7w<d%`49qpY<5F0}bLh>z
RkvvCN{y>Ct2k=q(e*t*gn{EIA

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/install.doctree b/docs/0.10.3/doctrees/install.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..22b2ec73b464f7d75ac2708952f22756fe1c0074
GIT binary patch
literal 11886
zcmd^FTa4XC8P08Yvzug-Y?@wZHgz}6wK?ac4OL5;1(hZ#X||havp|~?%p7~pu}^$#
z#~z>E^AJb{MG3NsPz(|h2vtG|BoHr1Jn)KmLA)Rk@CK3KrBbCLijWWz-;6yo_GYu$
zOQ=9Z*<?NQd*++(zsx`5|N6k!t@=9gC*2;0j_c3YiEaCVP2()xYzJ1-r9R7UWryF$
zu4RYP;fTz|K@wRsOV>fda$L`jsGnU%=O~wFt{2yf0R|a~+El;p45VA@b;ET1m=VuA
zkvT(`vvh<o7P-xYVNO2BM%RupUOHrXB#zOD-v@ls&41f$C!v0566;DtTe%E=ac#U;
z44)<G5F>3aoH--uCeQV0c5Zz-7!n|6nX@q+Hq{dGG$>d0Qsa{`jpD|Y*r%k~u%0r*
zDCkg&#f|e9&4`9U+&D!Txex^{*P~Gbqr{E;?M5+sJ&IYDG@apeD8`#^;42oL0cVh}
z{17?^n9Dp`>Pm;s=IjV^AhBtd&T|TN$D5f@28O9QhV!KJxU<ojn06kUPMXBo0ScY5
z%bD{4ejdcn!}$5o<t%abI)@>CAQyM`Igg#&B=8M`57LfE=#*g`m<^0#DF$<>(Mmke
z2thY#;~@&VM%WMCT!qfDbh+Xh`^Nxga{1VwcP0epLAeHjeVgYp8WGQIdVzJNjDJt)
zhH3$2Wxd|@zzFCE>ZOG=RzB$~OR<{{&v(5OG5CRFYz`v|`|07=fmXnM<z~9sBYryp
zcigT6KMtVubkuR%j)xy+!cn;Ob1j`KR=T;g(v!LW!GV5zwk7oO%9Ih&tBD&??xC>(
zn>JVw7%_awV#cAE^p6_-ATjK~Kgf(Z;xqJ1Mn)I~hN$HQbBA*=i}<qBAV%!D-7bx!
z!t2H?OkhEyVY@MDdNdy4_F>Z&Njzr67}#ZQ4=wNzG_&0LjfMf7F6#rf6|{ZG1io>|
z<0C|er9ytUiq+k|{>}gX^=VtOq1NWg?SAW`)-YBCi$y$gu`Z1w!f@frQS2z8m{K<R
z@ZEe(s`c&y8WH!g&oAX;&g;%+oXa<z&uR~HK38>_u@b!f5}pjUM`S~~>!MG>ux}LP
z5fPn>kg#Z<MtKV}d~Nx>@re6YE-s?iLx@`1m!Fz-+}Ob1!jo<8q1bBprUKWCt|pW<
zNG}S6FU6F_lF(JWsn_r}Kz(QVYmkxm5xJJi8XkCsSm!Sqb1p-7(520Y&Z%8t@lK88
z$9U&QD@XEZ35m8s!lza-EY4MY;DGVsg$rk<UU=!^<V5XkBZ;F1whH25pSHZjrbcb5
z)abd*38QSyVV^mHU&}|6?0*0=X^yyG{A`VWF<v4}o8Rb^>nHP)F{QMH%^J$DFw8Gk
zuC9sF>{?y><HQaO60#anM5ET1I1K0@r@Lm;o}_%4(i$tL?GJ0D?FkK>s>CYYRiG=f
zqda;LnQzH%xg6PDO2hcD<ur^3g(afZ*vAtj*~S^3b6vC|!YoI!vRId<;P05{Z_8H~
zk5%vG;v!ZZsrdQc>GQLvPgFvtf#e2RAa{`C64AZH6uQo)_3PF-MrQ;6Z`m2Fj73K!
z)(Xa5JvU+r@u=UE^ed}gv`?cM%hBvu6`FbpjW+Pd3u=rSa^+GoszFN9mLaK-VmC87
zdjWHewtcLGS%-wNi<BjyQ9wk-)>8y7)}>H&j^+H-SH<5mB`li1GbR2sXGX1-w@=FM
z9#9@1$xmN~cxW_Tzd>;5>Jf&sU!LpVui@01g(gm}T@%liR<AX&TV{6UEMF<(F1-p{
zXFAu%)T;C`Swf`s!HxL1^edwl$*e`3Kk5vJ)Pm`I3o4v~!%J)DkRK*R?5f0ramgW0
z85GA1oJK<G+tjyQ8Y?dEA*HZ(yqwd{syKbIgiv$3Zz)b|U9U{*vSbxn!R-9nnLS;?
zt*!HU$!yOh;yB7LMc|r7zE>etO~N`dY~tI>Vno{I^%d_Y7aimF^;^ptL@l)Qm0T@1
zR;8AgOUu)0c}>O^wU8KxU1l`(zvi4nsW(#5AMdSP3>`tNI$rYwpVo-qug^K2^pXGI
z42l_H0^eA>2~3qZ(k8G4M|FO`5L2pDT4_@_I^WMV^u1MSXr?r~*3h3%&&-^kIboa%
z5?mmZLy^(O<%55M-#!#asc3TY)%t7oOZg$W+|js0V>KaphuVxo#EU4gd6p^;W2K>=
zuD|wl{nFFR8@&*|V}hdwzo(o$SVnhHU5osmtX5f!u-u=l-EwD3wxccgr{dV%rNoaB
zy9g6z>=0a8b#a5`hOnm|u77bq6&pc*+jgpS+sp60@(XK7jKChm^%oBht-!NsR3E|B
zDQ*A*uSbs>6bEDMJh-L{FaZ}8LIz@jf%MtNzQpqO{B033BN`?7xG|$)JVKgyxh`YJ
z|15r`-_9@ci171OMTA!u)#|SDcG3pxNmIq8Mf)_G-{fe1y(%=9OK5a_x=`5|0Ov`E
zu`oW-Xynl9R?ux&By{m11g6j^`+XfE`)Ip8S#FfdzyAX(9)#EZ5hSefXkltbO2_80
zCO^j3_@{$fTpVNdsX6b>W2o+3;?T@br%N1~hh}NaT)!=8Q_pI(oqy$8|L2Odjze<i
zAL<QpPHt6l&Vy&*)%cXfCqJrkAKp;jq;&SVY<UfQ%LZ|B9_Ih8_~h)A769PdV)s`p
zc0qby;|nM!qsx?5poMKc1jK8!txgrb4(gBcpo^f1?}|o(uM0v4@lhj*b$YU-jDp%Z
zob!8dRs053fSTWro_b;Sg$pz1&zzk)J!4)xefreoF?oB!uLwA3VJ6sKEQI^WsD;J^
zZ#jZYdO{lVT8B}~6dHME?HajSU9i^36NN^^Z8rAN1zO>^M_m=6mnW>icV5bMbb3`f
z>Qy0Y9i3Z^j<|~W2V%ZXQv^BW0AXJ$?7ohv2oT!4xOVN$SE<n2+bjLa5c(7M`xpAc
zK+7(5FEItULvxK;tJ2uDDom}h>APr*$J_Gu+2F`yvCZNGK0%rmizd^GdnOm;r`4Le
zZoc2cDjI~|uC85gU#JqI^>(<>o9o+d&$V$I%5zxddm<oKU2g?%sAY7%m}~QmRcZ4}
zRq$Gyt-ENG-!NBWWa)HQ7pkqx6Im>t?{LUj=>I}duOVIYgPKm!Cba+6wQK*&6#`31
z))41{r#(8eDm5*UP9cfW!yIzPc@@r68C733R8bA#1tq%1hRE6y{!wFN>FdF!bOiM{
z6qPm>wRzdiBXmAQDFD1rwwlepDXMd>Wt|^#L)sdr4=pN%vYu<1GY)|=ObJewxTpdi
zXCJSlSf7qsNyJNi%%ZSoI^8N;L^05Gx)~QdoG(;6?NrrENKt*%N1&8w@KeM~P<JHj
zpPa+f>2RC+C^=z4l;HuP1B{byh=(otG$zKrg2&=Y+Dsx3Puo~vnY>(y_hPyM;EMWL
zI@SsT<_8R0hw21d+j!BCpLET6zD;ueM){#LG;wYa7p@rc(YysGNYP^Q7;Va;Da=^B
zP*hQ2@%)l5Vx~uX)XUCoNJkvvsmFnIC!Ke}6(cN(rO-e+VAE#O#&n}|B=W%(BoINn
zXc=Y^3SKzw>_$53`eDLM=sU2v1*XFZYt^2s#V&r|Q|&Zq6a|s#;Cc|(vf!CRwOE#J
z4-!@#Wk8IQrQ-{F77Wq(Jq#!v&BxUk<lB3y9SdGgckngDAj$zno+#qkCJT1JxQ$w!
z4JdL;ck$Yl$TrLO$lzfR6+JC16O6bvA`j}&<}+t79VH11Ox=`j;Pq+S?4%o-%J4v}
zXmDY3kx#rB!)zBVVAqei`gKznQ+zcwQEUXM9q^SPrYNV=Zwf1cm-Sp!;RqAmZX%)N
zRW?{ifpSPXgtIT*ipB7dk$<Oz)f8eT-}Xga-Gd^raeb6D@j?k`n2%;d<y%k<s2*XW
zJGocEa{M+75fwx(%U)jhr}qca(U6AP@%eJL@|Gq6dhQ;nAy3D1b92~<`6tDC5Vafl
z0^ERP+{n`1{0#vGZ<vgBp(uRaLA4bPYx|FV7|f1FEo;FvyhTs5M^1xEDU>O?l(ob(
z4(ocDVwjO8yvSxwc5ZVz4x8+n$~{%wGV?O8o9T|Y?=v!Qsw%DwMTP-4{jG7Az|pQI
z@aq^v?Gn%Vqbcseb85#e2eo$=)R+4kR4FLL+gFkhWn;XgQd9^Qao{GbC$L<<1sjlo
zVT^|g1jee|4%%%}8@}3y8gW(4Fxqa*3&<6dc8TkmsPn`n6|b+nk#58%v<&5g>E=8{
zz$al|JcWS4Gczya6vnU<6Tw^<>O5fzDEi`6Yw1{}H80OZGe&Evhe7TZsO;o{9L0BA
zNt_Px&b;kVz5|Rq?>g^v-p2vE^H=`Qcj48YxA}&d4s&7F4*?h@jzau~^X{||o)&`B
zi8IElAIF^oogeW1<bd;z^OhLMc~6WYj_ygit*lhBfNd5oV#JbwGH>C&E9LT~ms_}*
ziB=dvw;6cKPDJAa3mTR5aAm|{IjeYStTH~raKw1r-@S0GqGw$?g2-Y83HSai-C_lv
z2W3Gm*j<KREZT2@tj=FR#<}(Jo7oI}1a(F5I#kofs7B-yqsDYJ?&G4dD_iw`S5&H&
zYL<?iN<z=I;ChA&7j&@%BexH6gMGr7K&0T+y%XxbvVN~uZeRaa@zU+<->zrXbm`>A
zm0fcfosZy+rLGx-agcPN*az3Ao48rQdCyLtInOtvyuca3v8Wl|gmj|wEXPqT+(7*-
zNyk)}mh^E_JI_H}7MvmN<KLiFl3qL?OKYFN#1YR3B!`MUUKWP50GCEGU0O)YrF$%s
z=RnURQT+5h<nAD%GlMr4p<%tGfiHWDTDAxlTZ(cjM7K6C*dDR@PFZX!JS|L`^?w5a
CDdEZh

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/labeler.doctree b/docs/0.10.3/doctrees/labeler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..01685cc16ede973b19f449e83406be2c6e1287d6
GIT binary patch
literal 46412
zcmeHwdyHJyc^@Udmm>AD88==lHzV0Q>u_dwN!g+{TuFS26uC>5OImBMwxc^UXXf7F
z%)O&~@9e`05j&1i%eYPBcpSt?njrrqK++(95d%Sj7D$2sc>r!vq-{_*ZR4g03>z_8
z)NoKYNPpjV9{1ka+1=UUQl{lyh?<#u&+|Lq`QGO{pV<F}vtQoBfAOPX+i|_sqFt?e
zepQ6s_)yiabXvlTx}Wckf3kbGn~x6%_Dbk?f{N(Idr+d{xXo%HyzUZS9;5P++YF1U
zfx~S(u<L={c1#P-{<!h_M_jRDMUER<o*#*_@87X}&wAO7E_ce-87GR`;q=5r-Hn`1
zxmfXA6BWDdMt0Np#6-|3yA|J?hyo!dTDI#==r+QMrd<|I5fr_0)AjDW@Or819K^t!
z!x*=y35*lt)^l<8JIClX-tN04R%w#)=w>79e!9y*z!Www7azd932e?2@!^sIqO&(X
zpkOx_@52a1cdk>m;}JWG0=L|W0CR%zUbh+op7Fs-(+)#C#P|K4-ICu9RXgqEN7=62
z!PL0SK6<>>9O45g-U-}pe0itf-0j2%BfHMMJC8Y|&Lf>NfO;UZgStp?2VlFpgNw^c
z>sSDolLLT8mw{6S!l{DBhl1}FBo1|L=NT;Y2XwjhxM#}cQSO5%r@`b*beu_NDjqQi
zRPA1UNKR6i?sfBys!nxAoTuVfCT@o!2q*4@p0LXkm8nuY@Ef8Mg%j83OMz(n;lu?y
zvTp=_%?0L809nEbi6lMP+;x8B>ci-Fuk$`<F95tJKI*u2r-^@2)As6VygtBqtzpwU
zIN%<YkN0`lPe84jPuuye_)$Vh0M7|T==jZQ_p^uoQU3iT&F8Z2+<D4*8H0I<SNR~e
zXNE*zTW!((;nh}iI&9lSLk_jknFy9em%4bhr;7u!ix2>FeQ(_iX=Cq?+^Ct})baSd
z@Ip6omxV>3wJwNA*0)wbP_XpEx+dv_M4{u`sbNTf)52Kq&{{Z8%{f0p8+lV~a8bM_
zi!<~NV`>YMsBQ@{r|eWTc+zb=iZ+huHsXJ{;z_&~t9Gm16ep||VG%iYKQ7X<wy<Jt
zth^UlevMx+m^2Dnk#AKQWc)5Pz;rzzO3S8|u<*?)15>Op3Obdj6Nsv1dsVCBr5;oP
z{i20YfumqOe2+&2)LOCVANq*`(C^IH(01szgcY_$#jUv&iy8?<B-gI$)|iS%R?`i6
z_?QKn7GY7Z<qtR%68!vWAly$4j-Q}bjF<1yc$&ej!X-BdqZ3wBL|^;F7elK`yUX>k
zge#66WmeEl)?%BrlCl3B2Jy4oAN%pt*za|3jbi>n?=4Bu@=ilPh@X6w<_!U+4>{@k
zE}7iF#wdSd@W~P3`1KUw$PGz2(rx53i~E&Z2}z_W*;d<a3t|Q!1fg5^u(`3)E&GnJ
z${omiu2(-H_bz{<jSn(jb(u<sa;wf>vs#cMo1yha$F1C9>LBcJt!SaQKv)ovtW#*S
z0ZL*B62J+fkc?)Uf1qt}&58&^KR~~D%`KncHt8q0Xk<zlO7KpbR)Rr)1eExL!7)g0
z?SjUn9l)Sd84Mcv3A+g@03rG(Bpn7{c3XBm!<XN~Po}4>3)c#ln*K_~v4g1Ch9t7N
zw6Yg%Lr~B?bmP4&zCO0DnRuiERCK{HSdfk%`e4`jMo5hFtBSZy0|I|ZfZK{&Yml8z
zf$VVnLt&>Jg5Q9t`d+CjYOcq8EhU)5KUOSS2{f#Y<~%}wa^iobiHh^z2LOcgbvb|M
z8_qZHcAdX7GaPlkqi5N7c3-#C!s)kl+0+DwA(?5a@=_Wn7M^)%&z_5R#YuLzh2^oz
z;O&sZDh`N>-vJ55iY>d<j@@jo(e4jBZe*=N!?Zjhs$tPO8`4j!MRKksRv{OF5Am)~
zkp(LPaSG9x1^tv|1||+fIY4OeB4UvxMLWz_t1SW&Y$Pd9=$Hk<#PW%uaqCEp>NQmd
zeRY}<NGM1mq#}<SZAnh)bXvAo2!vg=%S~aaqMBUo!fQ}?89LZ_4^Ye*Z5*eMfdz5B
zwJ)YHKM|r|o`YnnrJSInq){bN0~_a|)J9f$4I8`d2N7_?0_HM41_GQe5TpzxBG8Vt
zm(2PDa@MrJwm<8aQ?tI;{XUER4$BIRF%iUg5v0hV7MS+L`+Tptw(bq;9c{Xi2<&F5
z-1IAVQYGSji`LS#mgnUUGkY{V+ISgL@1=3DxdhN_BB=UM^EIi950R?dAx@;!U8PGk
zE=nk#qYp^Fz0GAB*$1){paCapHAzoxyd*2n@HpZ_URj#Xy743DA@iKY9-qT!YEBX!
zjZ3JYsr>?Buf!tD4@cCuaLs&egubUAw?R;Bkd@GCS4T#oU~PKD!XHW(+jis>T@Olh
zl%G6djTMVy<NQ*!ND34{!{!BQpxPc0s}<3XtSgMd7lXhLWOEzW7<n4>s^vrI2agYI
zE2>#dzg~CE03)c0eozBjr#_<ENK_-k9R^oio+`?+^&%9x(y|E3KJ@doeBUA$Z{ECq
zb6l<dE{ryVQFc?*7#Xuhh<L>H+MTEb9%yg8F%G%ywaD?kQ{A4;Q9+YiZVtWg8dp#n
z2F|D|f}r~rZ4;a7k2d5s$r{V@@j<W5gM+CJ=2|<9x+1;lsQ!<0{j~N2Gs{p`leCyp
z>6DYPNJXvyt0B01LED8AbK#S$-zq&%nU?{{l$oyzikddckbbs_;`qb!iN)jsnWt_T
z%}JBI&5D>cZ~Q9>++U=Rfteqa$;L038m#cU!-2H786V9UHo8zkAFm3S3cwpXp)^0i
zaR9rIC)V12WXw9s`~!)dB(x@QM+s^Gx#GG-OB)}^PoS&~MAgtT@m~_l7?L+3TA@B$
z&HI|RNcTj$RF_Oj_*w(c;0A8bL)V3@7!muX%A(q-u&paRVZC1SI}qqdZ~f84f=$g7
zMYUM>mnT${6BWPN6m?MuD}Ep<c2F%qIw;WF0uf-svcT`uox+C;Cnrx%PCy7`XG-{@
z{x);^<SDx{`TU0p<!Y@`cy_8hStx&K@^s-@ak^GHH8nLkdHN(g8``yTJpQwH4xm#W
zmUq&uu<5>JHk~vUJCAEQApXLGi(bz0_(%%(Q_GWijQRb3&-}7{C{5TQhq0R~+d?t^
zly*mb5BC*2A>hH{<w~=OUKa`(6|^D|rD*ET(9(~0%8fGss74VbO*hW2dzO(Xw-%hg
zh6Z{i-NsEk+(>9{yo#4SQo(<tM}vvX4dMeSf%&WSv)m}-BRjY3JnDo3)(k||;st!m
z=ZZz9uv(0rAa)V*qlrqmJTYH!e7{LW=Ubq+MLf%mk5p?V-45Oq>AQYbbigX|TFQ*y
zw*CzFW;N!!42|qgX}p1l8?8pXp``ZrsI}#q7)kAKP`a<ACf6sCjtK4Zjh{mC#;5SV
z4Ft3vQD8_Jt*4c%pH2%D@$9RD%|}&e*p&#TB4u=8=FM_hNL<@aJEUmEiO<8QL^47}
zKp1I?Wzp0&mz{3aEN|nPhp`@`jU0UpESzbA^4T3HC_j6@2+E6?;5`$RGX$mK2+H%^
z|5gNLVGYHU@SczrCG6+bi&C`K7Bgds{}O66)ZTUgHy2wf35OJ>k$I25!hz9lLkJz=
zV)-1m8BSYo-pv)Iw^TP@lvT&ab<x*6(5Q4ZYgV?kaqW`ot)~%;l6^CY9a0(~5qzNs
zO#WKI##q_}b)V$s0J=I1S@_^-vj4{N+hp5DeYj`X%R*wY@Tw#gvr!X3fZ^MQl~cVZ
zqb~b&lkQ>i^=dBaz-NOgCZ3@gIUYplsHb__qbKxcE~(yU-po;prBpMyY3o+d5qEh_
zs&3eB+J**@Lt0r=H9&79oo2w98qDGt{TN$X4@}*B(tU69=aczu+&opM=Cv(j7YTQf
zkm4uu-xDM>yop7Rg?@B<IML(wAk^E49%oUyujnBu`GX;P{6<>zSO_8c+ydFt(kB@-
zq_c>rJuD7zTPY_JC||SFf|qMee@iVkyS}A!3bcW2=Akt;r3%8#zyumX%!=c}ZRU`z
z7SvIa%%U|1%PR-athgzoiXOs7kvyvVL`-7yiev?HsBD2D1D9RyH0?lJN8svkLBA=6
zh<E{6@fF{|Y^$&ZCruJFsdYT|{@bwXubr?E8U(m#X3}?X)G8<~`NBB7;EoV&w26^$
zz<`#~cESHW0>2>`jZe}JA8q_3eQaBp{p}qWX1{#DgxO!h1n*gx{USkWIAQkZx&JMN
z*^lhqv*&3TBb%T(X5Yb-3GT|`B+GWv4?QvhS<QkRSW3iNM4hsaI<G#*rSB(~%U#Yk
zNo0*g$b<;VPEy39h+6Dxl4LK0aJ{(14^m_=c^GnBVyYC48CBVDFGsaFM%`h!b`*{+
z$)S;_OLb6$hzw~okDrTU@>z+@NszO+TPm9BI#Zk*W+^;fT8$}FQaz($+$t;y3Rsv+
zyUIq1O98sgzd3fEsp#0W9w9t%H;nL!$Enfa)jUH0k5w0tXKBcRAm_K0^ph-HI-*jK
zLP^c{w15l<P~NsHK;?--gTI*dRByEbMJ=jCF;t>B3%y=6!Lg;q$<$({YiqzR68KSS
zk;+qP{+wD`lG6X;$tAUfT)9-O^@2Lx=m`z&nZ+>*-5&#JuTe}da3%v$-57#xux{jj
zlsqXvriA?Bid&5w)Q4T&Nb0*gY<GvTUb?%(!X4gWMyg;n<jegy?r>_zmj>axMh*F8
zl<upBNFMxPs3HI9ehE5X>j(C2y8#9PxQv`x=LX>Zw-j_vquA3HTX2<C3K9t`A{3Zq
z%yA-s)raF-wEYOI1FnM`D(L09tehunTc#NCgFH-4#v!lk7nv8jVM%zbp1}BY$!><?
zgpo0bX`8<sEQH0uOCv}IQ89y;_XBvfw^1H$Yf<-uwe3`K+><58Z~1lM2`F&es0y|&
zBDW>_Re^M)VV+$QCBSHNU(dRrR!ZEGYgVMQQiyQUCetlsTEohBafr|~w~IrFzSuSn
zWtr7?`%%r|nAP78LOTt!`Wuw)%dEc2BYH5H)i={Nv-r=i^qxf{a;<kYy9*+HaOeUV
zxiqon^CuJ@%~mElxJSX$2&oBRAiI6@8vc*dWN3)Kzzf5~6z+;PXb7}l5ThoJnB4a6
zc>apV=X2KDZiR!(LFb_wvzw6UJ8WreXM@2hRh!jl1j8X_NvoVXEbARLCxhCJXJAes
zS0#OH+q(0=cHFx2opjhmoC<|25S|on7~MK`ruT;v7A~z7q+80<NSnv%QS93$v3jGo
z)5jSVo|=~Vu*UIt^Fj%nFG)CG*cO~AUhk}_!SQ<kfH4mdx!u#u>|Q#)YXbJ-Z=S<R
zFP!%3^`Fb57OY#t+9c0~O5=C`gQ3dTp0-*@%Yp?5K1Bk;L(eu4GCAN3aLW=n!_O9=
zi(Y`*@+YJUcHNW3fo;NMaptoib{SE~@*pXP;=A55f<fFmV)axkAlcSc5FZhpI*uyp
zW@XpfwEP1$=>!#*Bq}Z%#2VxPvx-ibJ%q#W2AOsS7mooK?@z$fDyDePCfyFfX*iQ^
z!2NHj>HO3Er0GB}s51Q;A@qmDoSOxo!`X$xl?&6>nJM*G)L;0s_=>%3&teM|#j@>%
zFGbE;OT2*K0_(@D*NncB1Mw2jVgi>eUDnx7-8wlr`60NUrcdF&=d8lybCZ)+{>Ft{
z<Ll~PLXhmVwNfmGEjMyr;;?>ijl%oa6}{z8TMggw1}Hj@H3xg2wr*aWw$7eAzpkxW
zXcdKzfbqk>KW$AFC)bsL8=iK0;T9q{a8wjbeFAX-uJ_{>oh^iRH`56Vc35%UjjIL#
z8qSm#E_xN84z^BP&z0S1UHOHAgu*<5-~>W7f;H>aqIG8C`pm_-o7d+iuHT-SJ3DcH
zZsz92^H*+Mxj1)go_@{G&tAE8dHs4U6bMwRwO0VKt($sf!=@^gX{*nO%Nsnu#BtWB
zA_r&X=a4AlMu1~@6uVp<e+>x~a5^Lst*}q4*8>;lKGfI?^L<KOLOXM?j-w0@d0hv^
zb_fWst9cfF%_|lHv;y#m6>EhKl7N7V0&@rxs_oa17eEyIG(fA;=W&7l<go3grS}v)
zTsH){$W~@y)`OPdGYz#0+o@{9+llSeLHzm@j^D^#b!vL@IqSyky5?!k=`V{#>x!AJ
z!G$fkJJyxDY~wf%9gRdVV?gN_))0{cr)nVT_^r7ib{3%76fXj_^$zF>V2T*}mH^(%
zuRWB)jm9V~k5zW-;P(I+g}tA^!EZj6i7LpfL+i3;t@xcLqT*>75C*E8xPe~Rd2QB>
zm$95@zV6l3$y0@AKlI_kbEluDT~2XV;Nn1ph~yEP3R6Vr1f2H)pEVo~mB%UxMWk;a
z&~%f14LAfw$$gG5>=M^q;<_cB-X*T`9Lz3pWtyAYC9a&^Wn<!Mv<Y_Pe6F9IJ)CXq
zX9khBjcx4XDBagKCMEA}+s3lW_OPMs*;Zzs&Fb18JGZ7|XtV0IGFwQoM;pu3fj5$9
z?Fvpz%Mf<9Q?1vswXN!Yc41b&@q4sXqmAFCkL{X{W}n}AJ@Uo-rbqrqO!1!e$p1ia
z8cvV=cijJ0dSv{&N)VFX7U+DovfSt>bQR>DMjRRDzEuD@#TpqDgi}Xb!6=wVb()Fk
z&ctaeR7N!rmA>Jx8gIXUCt!93)5E{(hcCm?!*2|NHHIGkXO!+s4<!aY81!&1OAmhw
z&H|kxj_m%#bPTQ)_{5HK9rTh*ADLrREN&0ET!F{SP|7CK5@>x0k!47wfR}R@Z$dGJ
znp(9kQWCi}>!zsqb(zs;9MQPNdhvwLpI4=bUYIM-uNmXv_t~foel~t+A5-mj)5o@{
z_WaIM?T_9!s(lhuyl1LCL2w$5YM<c#x1!n$=itUm6yAik(q3RZh7}y=2H4+)G%LjV
z@e?}oJfbscvmlQWvOMUmLx`<v<bmzbp^+a=<zFN<J^96idwfLGZy3x<l(4rI=Gk!g
zrZtwytcI{fJd&N2WDjH0V;B*I-@&$DqQRDUzaryAy=AYCP1B(r>#lWogc-uy$YsV}
z^T638#~GXH|98W%vHtJ52~3oOI4S5cS({KFA2NZDs;f8e(utrkefo>+7U`%*ZelSV
z_K5RGq;jb0WR)7`Z_GqI>|&D?NRTRL=VX>2JZv)jg5{a3{V3^h^33Hy=&6xso<-@t
z@{FXd4~9I`&dM|Y@-kaYi83qkI~~<P=OQDw263WqX5FxZvp@3a564wO5MlGTiFyE5
zBQccaL2^+s5N*n;VtJib83+$5g#($gPLI3ufg6{>u|`BlG1>^|W7{%GXXj;-H?g7#
zZe@M^n*<_^rWLF0g(8q!f0Iyzr*5rFmCO#2`AT3TnWEO8wknoD{O2XayW4^|g(G~<
z)Sz&L*-sMg4-=2j)6PH7?4gDI>d>9uKq_@4CuD@g&T|jt+-1I58~GxUxlg5qW|0Qz
z`pyZ6{z=+t+8HuAHlKJPkZQd^cZ98F^U6UQk}b=&R2+fwNvYT%ZiU<_#O6@}sfr*i
zlmoF0eS#AuhsaBrq)q1FRh|PnsbRbbYOFXaV=f{ikX{tMA~M1ZL8}|P0MQ^$lF&4M
zOXBcv8jRdd979Z0LnGnN;PB4@hwo1u!=GS^_pHhMF~Mm#P38}||1C9{Iy4ztr^Nm=
zbnX^v0xfacmc_-~^&1zjT=;PAgq6E8H-8I(fb@0#;@O+$FPG+T-MljQa&Bn}>0MN2
z7xEw?M*z~k@^Hwgpf@{bF`#r~*lHtOrUVk|`si@7coI!e&$XiDo%tG!t}|2P2pvW7
z5|Y)5)qEA9hBKttAjb@bSdtr>YAsHafh#{{6=d(S<#FqSFhzLzYHfTRW8^9{0IsoB
zh3O@li>4V&<K*Q9k~m31B&7io8ziwBacgw53i3+I^pIi|bTP!CC+eGvh@ce0aa$cz
z$Nx~0lryAP*`U~nRugI1?II5-eX3BkDm6#yXC{G-jGL$aO6Y(RR?g(s4<#pyNs>4N
zXFBUeD%pe_^^C@Y5u@(xqTE&(w2N{(g>puEVx8!(`_bg#bfW({2xT@p(VwAoq7%iB
z3#7eWD^R|EL_5{sBEkhVsq~wYb|=#8fJvP+Yb1`r_nYj5l=s^iDKD<vf{w(b1Tx(<
zMb{`7frF4uSd`f8N_x}<5R@cF9ON9~-emh_^H*Y((W#z@OcH@1kxYxmZ%bbWLmEdA
z(gy+KFnw%WqxqekmrZ`}zR4yZz!dLUHhG%hG@NW=asOM&CKfabO6SC$E6F?wvlQR5
ze2zxc$Cb=UFklc4c_;DZ=0%!+v5;c;s%#0yQq?q0L8${yl6C5%4txlzM5*kMFGHSD
zn^6UIFKjfWGx#*p6q=h@I2r}*1<vlgbEl?uVHM@KJYi<`I&*^;`|X0^xWSo0_JZLC
zd6Z7LL5l9neeqz>{Xfmp{g0icYsO%$T0s^sP;)vMKq%gq6>!2_el3&#;b@~pGNe?#
z5qn5-tln&f+~3bG%*r<$TB^}TjXt(b<-fA?RQ@mS8<qbQrg+a({u2bJ;i&vw?te=v
ze|mE&Pa*a|7N(zsLz*&cf-8>%Z;#$9l?DXApMLdyNd0$V2u7`#>OGzr{iS}pW;m|!
z#X<It;R>Hd>AqY+?xP2TEBp^ot7IgxG+w6@@fT>L7PO5!$;$tfw1=eSx3oog(?fsK
zV!er}{k^x;nGow50_)j8Y-{C2D-)ZRN!Y``r!^aGe1$#+W)Ea!|8rA=jqG11_Bo7^
zy{DaTW!dmwUBUTAWJ1mu!)=w<GYwF-ppyw6SrFKi#%E?=)B=2nf8*j1=wp(H%dDZW
zvQ5Agjw3k~a$pvU?sKZc>dxVd!`sOz%d=MS^o;-&Tmr|Y^Gc-yqg@iH^A4Y7f^B~*
zvF(2v+}Vyf{Qr<JqS0k%u<ifeH(})A13Ms${3F3>IAP@fp(;%MTjVicpny--(AZ>p
z0lM1I=5U>fi<;Y>O<X21Ms7u_suQ5I?U~!$z_MLzi6&*+P)XEr*pKpBa_Y9J6V~LC
zW#POcXWW{>?`6A*qeU~5<bCGjMVxO!S59??YhG|x4`E5c_y~+NQfH=CRX>P~DRw;f
zjgH8V7bBnCc^Cu?;CwbRQNuMowpJ#j(!f`$L0KniM5g(ywVFV$%u79yut}2$Vq&gB
zEh+0h`lXmabqJiPn51s#1pauLu+y02M<`N=VM1U?W+#)_DPsWLt}bUS2f~x%6V6Fm
zPtAUqyt04NNBrY@mIqg*x+sq_IMebH0LZ@~SEh)k^CIGd(ejCQm1f<fbkm(2x5_V#
zVxX@e=)p>WOS*XC>_VWyq+6o7BlaLnbws3II!jiBi!1vOhC?A`xKNn$q}C{p4qch%
z<2D#fDaA<COnsu?BMfJq?+*CEy&?@x&5iP_Ga6eakv(qB{F=fqU?N=rN%u3dZ)XNR
zoek3VsKa&qkvJXH{AO?_5{}!<OlCL<knue1?ruYr<V_33-QB&ryT9*uw~?pVtoPo2
zlE!cf+<VZ}mhy&C;P#<(Uj<Ie9*NpCpgTv4b~J+F-8tD-X8*~<kQ9?7BF|kj*MrLh
z{l=z8v|UH&t8CD8<(rIuF?T%<UEi!(;{pMBv~i9;2G+QAYKx~H-f<cD89?a%goKnZ
z#d|i$y+&{vP6qxc_rIkKED#bRW1DktPEUO}ylc^ocNLeiI#?uLkt%0hnvz$h;b?rP
zO^M#j^%=Pw0;EZ@f*?W{=}PTXO9qRDsU@V2l_FM8H*ZcqTRc@mfAp99NWRh2=ZcfH
z<gO0tV*qJEHo3+BGZKs%=OT5mw3ve{M?xUC^mcTI-T>vdr>~k?$+xGsP+?2znvGqA
zqZ_Dq5pIj^xykFzc5WKs4A)^vVYMGU9!^r|3__KSq+p|TUr9ky=m$emIF*qU7U-_n
zD|`bd^7I+EAJl4@Vayx{MEVh_Z~mxt3yP)GzO^7hiAm(uL&QT88>4KGL=Icq0@Y;}
z9Di#RcDi8{1_t<p*ldC8D5MGvcRby8K@FzL(lrb+mzZwV;#)pp(!5GnR}gDLd?2bJ
zfQ6C@T4BaaNj$9A;>pT78%%IPFQ%Yl6lG==q&D-Lu&Q!a7a5O;X3<3%N<GwR1qbc&
z+yyGK*CB>+hk$B!cjH%SJB~Jfg+8_|Q=Z;=neqkfrDRvf#uri0{)&R#=O*L#uD7<R
zyJZkCw%Luwv+RA?#9=ZzZ!hz118QD_gO$H)3!V0uY+fh<_8&=L|G~C^O)isvYih8|
z<N^_#VO%CX?Yxp9T=9!UhOVhdHS&lEJ9I%T$~q2#Y-!TTyy8-f0#4?HaE~CPDFx{1
zy?XEMBoO;A5@LU8=D!`Y|8+u7J>{K&*lj@U{-`|P#uV>a<@w(Pr{PqdZ*l)ysXXy_
zpT>#uutUs=a$_Y?D>4jwqu}h;nhqiB8<d@XO%`#r=?vRL8gy+WrEW`+k6`QYPCl1Z
z#D#;XsJCdJnq-KVcdjZF-^^NWLb=l&=<WUk4Fj_`Sui|yun*P_Cm0?<Q(NM$5e&Zr
zbnPn`N<2<j$bcp!O(yQmgp_S%ww7gPicJ(C<`fj7_T^@yz;VrUh~7$`qc*_i?2I|X
zChY9}=Q?gP%fym<;$KEI8ra<Jwnp>;OB<AEoTD`yZM;Mu14|Rc;ATt>W^m168C*|0
zL6*V&;@J?%0dYbVoQphMLDLn1%)6nWOTsPX01aFU&}M61AShjStBpEdq)w&k+w6$U
z&^z2LfOmX}FPLQo0xwD4B+lXhg9woD!$a~(EsCdz6Rs#~iwyI8pvRc3^hf1NziQTP
zJB)dS7_(lgAsMr-E;sD#-TTIvBTVt08S@(ir{Ng0$Ng``m>1gc$3qr_dC`LBvFf)*
zILL+6J{?0Xuj$1R>!Qg(qcU1lJg+46Pt}CXu6thR<+?^UOP}|=S-&cpn>9?`mCzq9
z#|?>WWtyAk%SfnESV>hOANw!$9C0q@#fWs2f^YX92d+1{arQ!P8ktFRx96_TU4L~h
zHw}k<?iRw%OU&eR(<eDbG3gDhrMgQEgKpnQ_ns}7enU=sO)dtPDSA?oq<e<N)J!^C
zjMpU3|Ifb23^kwm#d1)^5tTbK5D7ATg^3hA$7PqUup}LOMc@<)5hByGRKMvF_ot@_
zTtQPMO{ZkUg1mMHmI*rPuOj%hCmgpTo3Ar(@;NuUjo9=vHZ32Lk!lQiRDgnB9oLj0
z4f3Qq7k5`0j>mW)+bExbL#CeG5`6WZKu_{#@g{GS{FKa6a(CpenKWjl)5RpSN!A@F
zF`MnY@s{uIz1_VBg6AXf2Rg{^-V5H2y=P<*Rz&_qKQ29-BJ$Zmc(qYPmQlK|A|m<r
zwiS`ATr+Hv&TK2Qzm}1M7hZth@|F@^rC7_ND@(O0`4tDPDFwId!5EFx=ENG#Aq;Dl
zga8(9>DLX(>|q)rBd}o~{NB)fh|MtQwviGa7go?EHnWt>+x2R`mYHj;df);K<oc4y
z>Sg>F-E@;k-&%rZ<_;@yNG-zGs@(3cSN%$d1bhyXvd%bB)DEX7CMtH@jqE0-TCBrx
z)hQQUe<Cdzz3_UeRJ5*m$Wqa2A<??j2`)gGNe*WEkn)iRyc6I`(WYAtC`-P|+`*?g
zVc-wxcmLEku%MT5EGT^i38@F`bE>dqt?Jg0w;vO+=<u6GafL9&!>OQLG*DyU2y@Bu
z=6aMK4X{VrG|9qM#x(N?sXi!SAi5hda-U2eh&FGBkOz4lI{aDr3$%m-=weY_TzHL@
zAeezQhSJoRcaFz@@lM2}Bn`(qbbe63eut=BN=J7dAOB?cZa44jk7w>_A8F&k(adH{
zfwboZ#`14^#$r1bjU<N@_s`(p2k<YCe;-`x#``EYRJZZRRHGP=54^*>I6UY)rsfTm
z^Y}smZo1t)FONJ7w&xAU-GyE1xX56z>$BssqCpzV30HO8)^F~-t>jCP29nNWW93VX
zk@9R3=zc-k1PibUCMT5MUrvmOnoY2=fw+HN8WB5GL2X)^PSqK8YLea<3twss<G6N&
z@^~%_nStyAVyc<77l<FGk4>e<F`lqmVob`vPVxXVQ5uaJ-ukiZO~!Kda2g!zD9!=N
z^SjQ=@w>co*v2Iwt4NkpX?CijR0+fGXJ~#8#m5lZO)R^l%Fo4*=qF_0>(0f8z&a^l
zJ?zGh6LE~(W>^H^=%Sx$H$LzYK55YXd{<FocP>6mmzE-hj~}4^VayVy4O}sXA4g<2
zCA579KS$KhPSC`!qmf@JmF>zMdW-J%V_d;nH-4h#`w@;Oi`2`j55-4GjzW&T(kclJ
z$gmL~!`T71U4rCA;#7zx-z%Sprr;+f0&%H=K*vzf>!YfIdGH8Sei);qfvJ1-;dsQc
zo95?!WcFBf0V{}VolqCrAMdY<a;J{=j;+Y!X_SUX*eyIc3?FYr(4@MbiI1_^gF9@c
ztk{hYccNP1bRl%>-FP(nvLu4Q4@$7XR-14KldvA(0=;hhs7m*mw6dRD>BjHtdDGKG
z<M<&6{l{dx>uZl@U-VRtAEP;h0F(m|H8H1de6$GzaR;|y0peBsepq<j_(_DeQPSC}
zfaHn9iWQe3eE^3xYM3S<;#Og66E%0W>l}!W*&VpWl1K5wE|BVIwbN>s4B`Q>{D95U
z9z;Gg^C&-&9&{{!@~9n(PSr21wg{yj6RR+<2w*-8+NvgFNhK;RBjQn_=%eJ9qf;iB
zh#KWVy&<rH9>HXAp`FL_IT}5xij_#r4ZGm)$LSk7fmq519n>wwSn?x*y`nEICKP>~
zc9k+7VHe=;s_rX${`%Yd<6~{nMhqnj(6B?In@8wL8Io&>wnuDfsbOVhrPyA>jhJ51
z59$+Du{?p2;Y2rnH`U;wpa$|-z{!oh*NqS1dExz&&jPZ?f?B1g8+wv-Gpf6Zd><R#
z6;X}5aiUfeT^x?=GImila=KR!#qR@7wvc#OZBH|Nob(_Jc`JS_T!UV-T5{aF)5JgE
z?>=ZWK=(%wi-V2!MhE*E)F^(Ef6JexrjPJQ3EKA=>0j<QK$$^^+IK*%-vVm*pt%v?
zFX_Nrz#hLsT3SLFo*+_zTz=Vdj|t@GtYWXOp)W^>2(7)l0^il05@+iysSKYyzP-X*
z?n1GR4@nY%Jqh$ec##W)k4nhujPw+Y43AUNK=cGki8C+AmK8!mjSqp2@P%ky=R0Bi
zM5YX94$T&7%we;J)LG5EJwUsr%B>xwhw^*gIpaLv_!cSj32P}3YbnUkEsP@JN1C-X
zz5qcoesTq=5({p~tjfH40Y>>ab%UpD40~4J;Mw>Y%6F7Wt+~F;pWsAZERO}Jo0m*l
zC5r4eexE#|CJ+Xx<s|_HQ#Zqzrl~3KB6}f~cQIY&Z>fyo@X4D*B#<1w0F>#(hY5PD
zp0e(6<}(bwIfltxgQh>nQ=DtiB<6UKa}65DT!VU=>o_?Q^`Cc6H5RZ=POb4#`uO$6
z$MDhk1%S4(NZ;tzk;ZHE?Q?)wV~M^|z<%SO(KqtDHcIr33?H5NXnG^@G9RtL0>Eg5
zrI$~LUg~lZ-O^8JYx7fVyjIz7n!U*n-_`Tbls=qk@v!cdD?O2EpVOBUA$xakTk6f8
zcm&kE0>cO>ZZ|%HV~R~F6oI23Jg=UA9)SOJ_a^8O4Ar1;$ec^pD#{KGQO`U+VjlC>
YJEDb|re7x#JW?gTqewJ~NwAmvf8@S1jQ{`u

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/merge_profile_list.doctree b/docs/0.10.3/doctrees/merge_profile_list.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..bc0fa0762813d775f0b1e26aecfbde138252d82d
GIT binary patch
literal 11827
zcmeHNYmD7S72Z7db@!2E+iYpOX{`dy24(MU+WcrkQz(5UY`TroCknyqYtP-W*Vi`o
zcpp?%15!nTMyOKV9~CMBRq%tye~NfWynezT{(*S3;x9r%AcTa<cg7xH-@ET+LnXv2
z(Y41j=ggcr=R0T4oU8q>PuKg@pFEUA+znRhmg5AW!;(x6Iia1lSs=34vJ;=rUdpEB
zaBM9nVH(>klYQu6bJurb7GziOah&=K*H7vNf#JxCt%cZ%cu9fx%XI!Zmn|EDyNMBm
zf;Gc%(Fg<M30Is;o5q7&h$uPJXe_vbr_H(@wi~t;xx(_pfHmT@>Dpn?5HVwow&ey5
zO(SWvS-il^C=Oe$&rIJ<L_KKwZm{^!yqWPq%#jac39Q91Wh_B2i}&+!`i!p!pJ6Ms
zUOBbdB(qmCB@e7-^L}ywA|MI!2{~+*^5h5PKq1CCc@Q&X*<9MRWX%#HcAKey_(|Lc
zTql8O<)H0bNrFZ^_Xk!xe;RVqsPoda>_se1^*Kn*TdhG3pnDp-nSA;Nh&)T>ps*Iy
zMEGGo#YfX7<U1fN>`_OfAi?Ku%$BPS=LW>c?}FH-mY{Sqq;xY{VP?W$CReh|;vd5H
z->v(tRnD^CH2Qr6{j~6SBjxw-Q?gd7m6Ofx%h$_F_L@8|hSQiDze7ITcs5~i(pXFa
zW;Gl3Dbik#*&=B?^|TqYC`=lUTEe=R>vY_J3MGwPbv9P_jNduCA5%EMkMRQ#d!HQR
z?gIDmU-(wAP*wZ^rTAJ*z4L@}Qh#|cfbBu|S|OSKb$N(%7INe<OL*uz*_Vdi%l}@c
zrJd8v`5pWTOlF_j`$3p;7o5QEwqQTJ()Q0Jkwthj6oDCwmsmzDp6_8Xkh4f2J2wp0
ztdK0fU%0}rTD_cnk`TkV0HiR&mQhGK$yH}^!_TGl^EPI&NK)o^%<((PhBw`E7u{QV
zcO{o$OnM}TRv5x>o*_uYKPxcUiq(#MMzgYv0C1^*)o=r-CNmtUL;-WLfju!CtRM#t
z#~>7Rg9RE|^fAJw(y6+kH~>lj>xrV2LZZYHJ(paEhFJyy=Q^Ve5#~b(;*C}sC`l{!
znx*CYs!PEaEJ7GNXK`JN^nZGd9ldxF8@;-Hy#N#_eHhXD0lj!Z>%|r}!kgUI22s_m
zBcQ>$X-soZH^{;B?I?^zsq5u?XA!SsHm_}e5v1I&R+RgeF6BObfr)pnzL6LSJb*Bo
ztA?v4Kq^Nn9Wa|Ei50IJu=Yi3fhF%;{ifEM-3{)n<Sk6?>)T(6-i}-KigvjjRcYJ_
z8VEiRx(Ea<EM5np`sBed@K@J-!MHKs6)d)Vv+0NSVx@;Xc-gpeM$0LG>8yJI3;0<t
zC?O_^!*(R#^x*KcN0LK?^eF_d(OxUoPeA0yq@cZox`rQQD^ZN0T(o@!&_Bem@25>U
z6g2b5GLxf^Ah3KmX4V{jD~l*J{HIzuUwC6*Utg{sMwrx!r)0H!^pY^B>GsG991EZc
z5OZ{!U_lbbEk9hQcG0TUM7(;YX5bHG>X9XQ-3@?!V)~ww#_@Xn_zCr~VAX}MAmBvm
zYYTGg!rpoTba7HI@LB1!g5d5zw8mC!7763L>hM?`hjBig8^^KsK_h1EaEZa0h}eP@
z3_o0eYp979Mb!{Oed$y^Z(FD*Oqfe7Zia~~R;SnP^4O(IPhC1uDBJ%xX)n~`hHX+e
z2)x^CyRzm6Q7TNFPOOcAV91SD1rLM!vMLz-VM{R32*ZDYbB=IW9B0?bNBu6xgzmU_
zS`G$HH5)|LIImfW$XFFyXyo@WvI3`ww07knD<o#`Pn(^Ibo^oGC@`4YW&-(C!gdEU
zsrp%RbDQ|t+n;74jg*U{KpwH3qvOn2!}g|q%8m4H11j<<?*sI+laSLpT8>ar#zVUk
zUN4zPL8cSDo>8G?5q=vu6fEZfX46VsyBf}tvsaS1Se$9f*zi9g(UH=rTuO~{&D#mg
zwZ}gX`D$rldBgG$3lJ;EmSB!bD6H{XDy2XXvk4E~u6&mD^8sR=K)4u;sQO~=rpUFl
zVjRznW#l&uCvCS^l~2i)p%ke1I4yvZ5|cZo)DeavGUc7yl`v)@j7KrD7dv`v)B6Nb
zpYlFdG9fL4g?f*mMf-I5>5DjbC_Ctgpg2*?&ud+npH~I~*IY_YEQdzID3b&+mj0Gb
zLitIhMt?oRlh5BEW{S@=w&b>r8B~%(oArXk%u-^xjzZrCi$JfcNTXHxXv`SWBI~e2
z7&Ya2Jv28xkb0bY=M#atPs&p}7JrBRZU(O-gbpV6CL_oXXhXe#k(V*~-RkDXT;vd$
zyjYD82oFH(kZ!~Sat|$cCF28dXlaWc<-R(_x!&1agc>!9licjyVC*H3d0U%M9wtxo
zA9XkIGH%}TFyOtlp2&W+(LsR!y5jb|uhBxccMRaarM<!lz<X0M<iFo=%Bf?VHC{Y!
zhyJPKXN=3IP8#=KK}3%Cd+GhYlg8;QFV&nDdPPp19LM8?p3?*(XPpzZn!?_&rPIC%
zI$n07x;Bq#r*+~aBDJmtplXh+?-TbDpq0t~V7*QG^G2H@*A2?Nx3{x9Ixh3Rf!=FE
zvtqNlO=FtB=k=lYdJ$RaDs!dZWl+{bW%e`B`O*!_yPvTZ$$k2COJE7*Kzb5X)l9*5
zyO%rQ{fPuO<-JQk+m5O<4A~f|Eq`w;-rZx1@7uo)NN&^O|3xy{sm1>jgRq8;E&gz?
z#cE?*`=Q(=Whb|;x0IdQ$s~wuxu()i_M`V&JIR;$e%lFd!a7rs`56Ki9BhU_at6`n
zjK;vq^~UWu<`>5iLQv)Ibx^hWIfqUSo1AlwT}lHZPp9K9@4^Nd^(}gp`|UkR+cf3P
z($BW75*bMETscCWbyhIz4w!s=4hbQ@NJLW7nyrf`2rdzsTE_f*g7hS=5(^2<&zJFE
zeP@&^QPNIFVojea*ObSJo(mh(9#u|kFinJW<K6S`%tF~yvxn@qLPeTORq-|p(mq$&
z5A4G(GTOb{c@<>#G9G$Gt)^$;+eF7Nkob0rjxQ^Qo1o+4-CKreM(L?mL3Ie7?nThE
zy$w1^C-;h6X_-oMzPg^+c8bJb*^c~5B>p0LuSMcqoE;b>ZQL|s>4t~hMl9V_X0LaF
z%;|@b;;}iiQPq&<0n7Y+o$hjDf%7fUky0S}HtPdzp24Ss<;2?29kX5cD~#;tB+3d*
zb_2vng}wH*gT;h8wAIG`vWHNQWmN79=;%|N9*H|7Fez`@XmO?XY}{p?RdjD_Pu8J4
z34VFcK_=T{komikPmd_K2{M1B4cRHk{3YLzjYF_ox<RJUh3OJCHvC?0q|%l{2iA!#
zcM1ceAhP8OOBnbEmbMlK@&$M6%YPpR-mLmXNukb+3W%uAgaV?Ou%$yX$|>uLlVdR=
zr#u(|HV~3mF5kCEJ|n#8th%UI*o@a?&Sz^Ts&s_51=Sm<Qs^+z)7B|*Y(`!W#-ETk
z>#IJ~4QxMkm}w_Tc8ziY`{cNt##9PrmW5BFx+O1wl0%411p+RVo*gMm$#CZu;5N@e
z4(2(_Pf__)R&BX+a(IE^F4YoYoZ$r#Ekok49pPmpX9Is3EaJ6Ryr!{_w=oggCKXK4
zSFr2HyyDeNPPD>MP<c@0<Lo{;Mrmy%h0GPyTC`E#gTM;q7Li#Lv?L&Td)~r)MkOwZ
zN!eXfmu-P#F`%g9nv<isLoj`|#Qbb_zpQb~7y7kd9$_mkWF;(-CY{!Phc(j$up3{t
z;sCNj58U9i(K3uXKAX{^vTJfYzuiHVTS!G6nH)|<Yv%r$#KrSe_eT@gGhu9UoEUuE
zOOtiQt}QZo2=0sSh&ojI6_rdL>-o|{!t-F$ay+NIcJx&Dhn~UmFs&hhpio>C`Kt71
zOy5mI;<!1M`%!TyZ;F{6#*XQ*2>JmwE|g<V4&aKtg=In_u7j{i=k3O=RD@=yN$z){
zRAWfMM`o#b5Ugsz0f5DU<rBd}ss+*w659SwQ<SjO2~CtJq1R#De}@T!=66OaEwOQ}
z>f%mSspugSl{!`vM~ZTmgW4cqK%-bp0u!)Q4HLAc=w?zuqpIwiRHcpi)ivszus1}_
z!IqDpG_!n#iXI`Wg60GZP(<HtyCVB!-yi?hFUKPmp|q?hf~4h)QVT9>m`Ua#4P6en
zyu4h`F97RdywGsiQUg7cMkbHa2sIUqFmdsLjS{Lxi$yaZzUMR~J07>}9yZj{VKb%K
zh%iLWsLOEYOl+uv04#=u)r1u}f@iZs@)&foZI<R)PT$On!>-H2$to%<R?M={4Ydd;
z7=^lzCT&!ln4e8y*FYnAlX}lzO_Wnug=ml29O+&g+n3uLwo-`@qZiW%MQ>E!s!GTT
z9Jmhc32irMK?gK2Ob}EgX|ucEVb*Tq0x1!z;Kdp0AFs=!wjWxHCPNLYZ=&cH#cfpK
zc}*T*!4j2&%Ap)0V3SZUH*j1iyfE_uN~H`(zzFIhP<sGXaH#n6C4g90YhECVW>9OD
zFI2rqwWVkuq{jStnm@=N@E#%K%^k%IISO)H#Q`|Uya^mVWqC8|Jx2aGPb#R~10@wy
z?x9R7cpoKt<m6_Q^C54zhHNT_X&RJuSCy~)!E0(BbBf=bVl$^G&87S<s_A@y-{*ac
zLWh?3ZTflD`wo6oGS2%hJyDFF%CV}-sP&H7C?!?`gADQ(LI&M07i_hKlvuSw#oEo#
zFSSrL-rUnz_8#t{IIOv<K@(l{0rIgRuX41PR`I0|xAhL7ASG<c<Oq`EK2!ml4&OES
zNYVZpcJr0&5-bmwWw2$G_$5?FMMc9CC46-?kCe?y$wsu>MokEfsyT$P1sKu!0_E8M
E23UsB{{R30

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/modules.doctree b/docs/0.10.3/doctrees/modules.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..2b4cfb10d242f2f81ba09c3fa6d55a8e9d43af80
GIT binary patch
literal 2683
zcmZWrTW=gS6i%CL_LAMrrIeQ@K!qw=(PRPffOtXz35iGnajDdY%JPoAYZH$>*q&tb
zPyr7`t>m|wAIOj3ozF9~lig*d(T<Og&*eMcIi5c{e;0$T>KFE1A*5cMQO2}k+{Msi
zCM$EUeS90A{25=y$DwcOwKJv7cnn+6$b?kPavfj9Fiz@TDtFeL?>e4&X>@yBbi}Uc
zzKD-SKXknGimz;iA)}ra*36{hHYPo&?flFa$^XXgt60SYgZIL2K@owE;xP0{8?x9A
zyG^7QVMj^L<3%~8VL-jNa$0(1m@?Xy%%$kNnWD}?i1&`BdHvR7WpTTh((KamS<)#(
z*VB30ieg_p5JPb+w#7;KcJhnk)=e&*=5#vAJ|)QLSK#0#-~U7`FN~XfgFJs|@|+-G
zH>m@i<c5`syEE&M&3or}%PA1(WhO67so4rvHH=~lL72>2zKUbB_db#n4}sx_cpl;T
z2+tEd4??%`gQS6*l~t-28wmduX&6eKsgm(jk(9LfiiTcJ7mOEP#Pc11MvJP#fOxLV
zG`<PDLNW$Iya}V`bSvoTGM{qGSv=nggR1_{XmtbK0eE#AODR4UpNSLk6d>#X+zARN
zRuc;QP2Q*1mKFu*LRWK4=TC2olI)=Nyfv|rDqUjqKY4>$vNwRe?YhWSTqw?ZOsfI3
z)DutB**jsJl{S%-w3Hk!B{ele&vEaio}=#$+eVsMqdiCI!|pSxN)%z)iDLgE^ygf2
zOTDoX3v>^6p5_G>d$k(^+m~1lnq_GfRwH0X5|z^~+;tN0H!&Q|jPcrdzOs3KCyY`T
zqjF?1Gd7Qqj2%c*5b!b$2M3c6Y6(}ol8|fZ1z9!}JT?cK4g=LvBUn!qzv3#M-wgvn
zRlDqjL%xu}%2QvurBWw!7@wANxEo(ntAQ0XET=gneQ#;TQ&RDD7)xE0o^YKR2CW$S
zrJtRCaq1-AkJmQ|x7Ju9sAg&Epm4}7^D*q3(yv?TR90d*+1S}IA$||z+URWn%cIBZ
z8yhFXK}x^@B>{XC5{hA@sGgT}&H*>W`Yu{4+_OA0mJ#$J$N@L0g)hQxX7mg>0uISA
zchI+sD0ah`mfnzCQMfC?s1Ymkg0!pys+B;3a8^^54DMGFK&xG<{jI2Qykv$f^2DbD
zzQ9!DWc6f4k<61T>155%eZr)pQ<V~FqU<iaK|BpZB;&w;+KiJ?qehmqC%l{9-~{6}
z>7cyH8biJJFg)5N_<5LG3bfI4uu#cd`uN?}KmT^ZxZnk5@C-9ZXBA|_B$-k~pL!#F
zAiOW!my^l$_4QeC<Au>@#?B{<UrnItCNbPkC#q0zf_R>zP#%TpL4Nw^lh1+d*v_&I
zH%W5q=6LDG8-wdoazCrw2%jss=zBUv3$Zj~d*K9x%t_muZTQ3$i6L*ofxFS3E{KqG
zq40pbJIW;94_!{tWxthZY6qb1RqJ|5l*wp4*276ADEbG5ubT}hR}kX#Wm&*Qy4tIG
z-3$Q?cSxk3fdk8_aFphRE2ryv2OJ}xp;2$(OK|RC?S7^Vy(B!RQW1P^SYBPcufsOi
zSLv1xy?Q>NAwe&xnFQfI@zl;a<_&J>LpTCmJia$T1>8{SG7m><()!+p7}jR(VmGw~
zu6)S5Nm##&=i-?Q{Uq==1;Bb4#q$d%9^(I*7`iZ8EkJd8lu68|<Q^7lN$RtuULEGD
zq}D_5C|Eu<s;z0I`p$;1)$XrZ>@U4mhmO|lV_sUH2K4<+Tg?t`T}*)t9}_5b411YT
z3cw-<Tm#*&8~Ix#|0@0n9^=Cboq<mwhXGVOY=^;`c&`;#CEIImesFA_sx@F~UNx<q
J?$C02_8%H2Ew}&x

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb b/docs/0.10.3/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb
new file mode 100644
index 000000000..1495e6a85
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/add_new_model_to_data_labeler.ipynb
@@ -0,0 +1,488 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "228bb2a6",
+   "metadata": {},
+   "source": [
+    "# Adding new model to the existing DataLabeler pipeline"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cab7a569",
+   "metadata": {},
+   "source": [
+    "Consider the case when we would like to explore different character-level neural network models and evaluate their performance on different datasets. The existing DataLabeler in the DataProfiler library already contains a preprocessor, a postprocessor, and a character-level CNN (Convolutional Neural Network) model that are combined to work on such data. All we need is to build additional model classes that inherit the main functionalities from the CNN model and also adapt the model construction to the desired architectures. In this example, we define such a new model to be used with the Data Labeler component of the Data Profiler. In particular, a character-level LSTM (Long Short-Term Memory) model is implemented, then integrated into the DataLabeler pipeline to be trained with a tabular dataset. The process includes the following steps:\n",
+    "\n",
+    "    - Build a new character-level LSTM model that inherits the CNN model\n",
+    "    - Load the DataLabeler from the DataProfiler\n",
+    "    - Swap the existing CNN model with the new LSTM model\n",
+    "    - Train the data labeler pipeline on a given dataset\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16624c48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "e90728ab",
+   "metadata": {},
+   "source": [
+    "## Dataset"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "3d61981c",
+   "metadata": {},
+   "source": [
+    "In this example, we use a structured dataset, the aws honeypot dataset, given in the test folder of the library. This dataset is first read by the Data Reader class of the Data Profiler, then split into training and test data to be used in the next sections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f031fe06",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\")\n",
+    "df_data = data.data\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df_data = df_data.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df_data[:int((1 - split_ratio) * len(df_data))]\n",
+    "data_test = df_data[int((1 - split_ratio) * len(df_data)):]\n",
+    "\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "745ed0d4",
+   "metadata": {},
+   "source": [
+    "## Implement a new character-level LSTM model"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "7375b0c0",
+   "metadata": {},
+   "source": [
+    "This new model is inherited from `CharacterLevelCnnModel` class, with some modifications on the following functions\n",
+    "\n",
+    "`__init__`: to add new parameters for the LSTM model. The new parameters, `size_lstm`, `rec_dropout`, `activation`, `recurrent_activation`, specify number of LSTM layers, activation function, and recurrent dropout ratio.\n",
+    "\n",
+    "`_validate_parameters`: to add additional checks on the new parameters for the LSTM model\n",
+    "\n",
+    "`_construct_model`: to construct the new LSTM model with the desired architecture"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8568fb49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "import numpy as np\n",
+    "from dataprofiler.labelers.character_level_cnn_model import (\n",
+    "    CharacterLevelCnnModel,\n",
+    "    create_glove_char,\n",
+    "    build_embd_dictionary,\n",
+    ")\n",
+    "from dataprofiler.labelers.base_model import BaseModel\n",
+    "from dataprofiler.labelers.labeler_utils import F1Score\n",
+    "\n",
+    "\n",
+    "# CharacterLevelLstmModel derives from CharacterLevelCnnModel\n",
+    "#########################################################\n",
+    "#########################################################\n",
+    "class CharacterLevelLstmModel(CharacterLevelCnnModel):\n",
+    "    # boolean if the label mapping requires the mapping for index 0 reserved\n",
+    "    requires_zero_mapping = True\n",
+    "\n",
+    "    def __init__(self, label_mapping=None, parameters=None):\n",
+    "        \"\"\"\n",
+    "        LSTM Model Initializer\n",
+    "        \"\"\"\n",
+    "\n",
+    "        # parameter initialization\n",
+    "        if not parameters:\n",
+    "            parameters = {}\n",
+    "        parameters.setdefault(\"max_length\", 3400)\n",
+    "        parameters.setdefault(\"max_char_encoding_id\", 127)\n",
+    "        parameters.setdefault(\"dim_embed\", 64)\n",
+    "        parameters.setdefault(\"size_fc\", [32, 32])\n",
+    "        parameters.setdefault(\"dropout\", 0.1)\n",
+    "        # new parameters for LSTM model\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"size_lstm\", [64])\n",
+    "        parameters.setdefault(\"rec_dropout\", 0.1)\n",
+    "        parameters.setdefault(\"activation\", \"tanh\")\n",
+    "        parameters.setdefault(\"recurrent_activation\", \"sigmoid\")\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"default_label\", \"UNKNOWN\")\n",
+    "        parameters[\"pad_label\"] = \"PAD\"\n",
+    "        self._epoch_id = 0\n",
+    "\n",
+    "        # reconstruct flags for model\n",
+    "        self._model_num_labels = 0\n",
+    "        self._model_default_ind = -1\n",
+    "\n",
+    "        BaseModel.__init__(self, label_mapping, parameters)\n",
+    "\n",
+    "    def _validate_parameters(self, parameters):\n",
+    "        \"\"\"\n",
+    "        Validate the parameters sent in. Raise error if invalid parameters are\n",
+    "        present.\n",
+    "        \"\"\"\n",
+    "        errors = []\n",
+    "        list_of_necessary_params = [\n",
+    "            \"max_length\",\n",
+    "            \"max_char_encoding_id\",\n",
+    "            \"dim_embed\",\n",
+    "            \"size_fc\",\n",
+    "            \"dropout\",\n",
+    "            \"size_lstm\",\n",
+    "            \"rec_dropout\",\n",
+    "            \"activation\",\n",
+    "            \"recurrent_activation\",\n",
+    "            \"default_label\",\n",
+    "            \"pad_label\",\n",
+    "        ]\n",
+    "        # Make sure the necessary parameters are present and valid.\n",
+    "        for param in parameters:\n",
+    "            if param in [\n",
+    "                \"max_length\",\n",
+    "                \"max_char_encoding_id\",\n",
+    "                \"dim_embed\",\n",
+    "                \"size_conv\",\n",
+    "            ]:\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"greater than 0.\"\n",
+    "                    )\n",
+    "            elif param in [\n",
+    "                \"dropout\",\n",
+    "                \"rec_dropout\",\n",
+    "            ]:  # additional check for rec_dropout\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                    or parameters[param] > 1\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"from 0 to 1.\"\n",
+    "                    )\n",
+    "            elif (\n",
+    "                param == \"size_fc\" or param == \"size_lstm\"\n",
+    "            ):  # additional check for size_lstm\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], list)\n",
+    "                    or len(parameters[param]) == 0\n",
+    "                ):\n",
+    "                    errors.append(param + \" must be a non-empty list of \" \"integers.\")\n",
+    "                else:\n",
+    "                    for item in parameters[param]:\n",
+    "                        if not isinstance(item, int):\n",
+    "                            errors.append(\n",
+    "                                param + \" must be a non-empty \" \"list of integers.\"\n",
+    "                            )\n",
+    "                            break\n",
+    "            elif param in [\n",
+    "                \"default_label\",\n",
+    "                \"activation\",\n",
+    "                \"recurrent_activation\",\n",
+    "            ]:  # additional check for activation and recurrent_activation\n",
+    "                if not isinstance(parameters[param], str):\n",
+    "                    error = str(param) + \" must be a string.\"\n",
+    "                    errors.append(error)\n",
+    "\n",
+    "        # Error if there are extra parameters thrown in\n",
+    "        for param in parameters:\n",
+    "            if param not in list_of_necessary_params:\n",
+    "                errors.append(param + \" is not an accepted parameter.\")\n",
+    "        if errors:\n",
+    "            raise ValueError(\"\\n\".join(errors))\n",
+    "\n",
+    "    def _construct_model(self):\n",
+    "        \"\"\"\n",
+    "        Model constructor for the data labeler. This also serves as a weight\n",
+    "        reset.\n",
+    "\n",
+    "        :return: None\n",
+    "        \"\"\"\n",
+    "        num_labels = self.num_labels\n",
+    "        default_ind = self.label_mapping[self._parameters[\"default_label\"]]\n",
+    "\n",
+    "        # Reset model\n",
+    "        tf.keras.backend.clear_session()\n",
+    "\n",
+    "        # generate glove embedding\n",
+    "        create_glove_char(self._parameters[\"dim_embed\"])\n",
+    "\n",
+    "        # generate model\n",
+    "        self._model = tf.keras.models.Sequential()\n",
+    "\n",
+    "        # default parameters\n",
+    "        max_length = self._parameters[\"max_length\"]\n",
+    "        max_char_encoding_id = self._parameters[\"max_char_encoding_id\"]\n",
+    "\n",
+    "        # Encoding layer\n",
+    "        def encoding_function(input_str):\n",
+    "            char_in_vector = CharacterLevelLstmModel._char_encoding_layer(\n",
+    "                input_str, max_char_encoding_id, max_length\n",
+    "            )\n",
+    "            return char_in_vector\n",
+    "\n",
+    "        self._model.add(tf.keras.layers.Input(shape=(None,), dtype=tf.string))\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Lambda(encoding_function, output_shape=tuple([max_length]))\n",
+    "        )\n",
+    "\n",
+    "        # Create a pre-trained weight matrix\n",
+    "        # character encoding indices range from 0 to max_char_encoding_id,\n",
+    "        # we add one extra index for out-of-vocabulary character\n",
+    "        embed_file = os.path.join(\n",
+    "            \"../dataprofiler/labelers\",\n",
+    "            \"embeddings/glove-reduced-{}D.txt\".format(self._parameters[\"dim_embed\"]),\n",
+    "        )\n",
+    "        embedding_matrix = np.zeros(\n",
+    "            (max_char_encoding_id + 2, self._parameters[\"dim_embed\"])\n",
+    "        )\n",
+    "        embedding_dict = build_embd_dictionary(embed_file)\n",
+    "\n",
+    "        input_shape = tuple([max_length])\n",
+    "        # Fill in the weight matrix: let pad and space be 0s\n",
+    "        for ascii_num in range(max_char_encoding_id):\n",
+    "            if chr(ascii_num) in embedding_dict:\n",
+    "                embedding_matrix[ascii_num + 1] = embedding_dict[chr(ascii_num)]\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Embedding(\n",
+    "                max_char_encoding_id + 2,\n",
+    "                self._parameters[\"dim_embed\"],\n",
+    "                weights=[embedding_matrix],\n",
+    "                input_length=input_shape[0],\n",
+    "                trainable=True,\n",
+    "            )\n",
+    "        )\n",
+    "\n",
+    "        # Add the lstm layers\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        for size in self._parameters[\"size_lstm\"]:\n",
+    "            self._model.add(\n",
+    "                tf.keras.layers.LSTM(\n",
+    "                    units=size,\n",
+    "                    recurrent_dropout=self._parameters[\"rec_dropout\"],\n",
+    "                    activation=self._parameters[\"activation\"],\n",
+    "                    recurrent_activation=self._parameters[\"recurrent_activation\"],\n",
+    "                    return_sequences=True,\n",
+    "                )\n",
+    "            )\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "\n",
+    "        # Add the fully connected layers\n",
+    "        for size in self._parameters[\"size_fc\"]:\n",
+    "            self._model.add(tf.keras.layers.Dense(units=size, activation=\"relu\"))\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "\n",
+    "        # Add the final Softmax layer\n",
+    "        self._model.add(tf.keras.layers.Dense(num_labels, activation=\"softmax\"))\n",
+    "\n",
+    "        # Output the model into a .pb file for TensorFlow\n",
+    "        argmax_layer = tf.keras.backend.argmax(self._model.output)\n",
+    "\n",
+    "        # Create confidence layers\n",
+    "        final_predicted_layer = CharacterLevelLstmModel._argmax_threshold_layer(\n",
+    "            num_labels, threshold=0.0, default_ind=default_ind\n",
+    "        )\n",
+    "\n",
+    "        argmax_outputs = self._model.outputs + [\n",
+    "            argmax_layer,\n",
+    "            final_predicted_layer(argmax_layer, self._model.output),\n",
+    "        ]\n",
+    "        self._model = tf.keras.Model(self._model.inputs, argmax_outputs)\n",
+    "\n",
+    "        # Compile the model\n",
+    "        softmax_output_layer_name = self._model.outputs[0].name.split(\"/\")[0]\n",
+    "        losses = {softmax_output_layer_name: \"categorical_crossentropy\"}\n",
+    "\n",
+    "        # use f1 score metric\n",
+    "        f1_score_training = F1Score(num_classes=num_labels, average=\"micro\")\n",
+    "        metrics = {softmax_output_layer_name: [\"acc\", f1_score_training]}\n",
+    "\n",
+    "        self._model.compile(loss=losses, optimizer=\"adam\", metrics=metrics)\n",
+    "\n",
+    "        self._epoch_id = 0\n",
+    "        self._model_num_labels = num_labels\n",
+    "        self._model_default_ind = default_ind"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "d66bd25c",
+   "metadata": {},
+   "source": [
+    "## Integrate the new LSTM model to the DataLabeler"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "479f407a",
+   "metadata": {},
+   "source": [
+    "Once the LSTM model is built, it replaces the existing model in the DataLabeler pipeline, which is then trained on the given dataset. Note that, as the DataLabeler is trained on the above tabular dataset, its label mapping is updated by the list of column names in that dataset while training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb482ffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get labels from the given dataset\n",
+    "value_label_df = data_train.reset_index(drop=True).melt()\n",
+    "value_label_df.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "value_label_df = value_label_df.astype(str)\n",
+    "labels = value_label_df[1].unique().tolist()\n",
+    "\n",
+    "# create a new LSTM model\n",
+    "# set default label (one of the column names) to the model\n",
+    "model = CharacterLevelLstmModel(label_mapping=labels, parameters={'default_label': 'comment'})\n",
+    "\n",
+    "# add the new LSTM model to the data labeler\n",
+    "data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "data_labeler.set_model(model)\n",
+    "\n",
+    "# set default label (one of the column names) to the preprocessor and postprocessor\n",
+    "processor_params = {'default_label': 'comment'}\n",
+    "data_labeler._preprocessor.set_params(**processor_params)\n",
+    "data_labeler._postprocessor.set_params(**processor_params)\n",
+    "\n",
+    "# train the data labeler\n",
+    "save_dirpath=\"data_labeler_saved\"\n",
+    "if not os.path.exists(save_dirpath):\n",
+    "    os.makedirs(save_dirpath)\n",
+    "\n",
+    "epochs=2\n",
+    "data_labeler.fit(\n",
+    "    x=value_label_df[0], y=value_label_df[1], labels=labels, epochs=epochs)\n",
+    "if save_dirpath:\n",
+    "    data_labeler.save_to_disk(save_dirpath)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "14b78c69",
+   "metadata": {},
+   "source": [
+    "The trained Data Labeler is then used by the Data Profiler to provide the prediction on the new dataset. In this example, all options except data labeler are disabled for the sake of presenting data labeler functionality. The results are given in the columnar format where true column types are given in the first column, and the predicted column labels are given in the second column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bdfcf1d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the data labeler object\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "def get_structured_results(results):\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    for col_report in results['data_stats']:\n",
+    "        columns.append(col_report['column_name'])\n",
+    "        predictions.append(col_report['data_label'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions})\n",
+    "    return df_results\n",
+    "\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cc60ff8a",
+   "metadata": {},
+   "source": [
+    "In summary, users can define their own model, plug it in the DataLabeler pipeline, and train the labeler with the new dataset. Above, we show one example of adding the LSTM model to the pipeline. Interested users can implement other neural network models as desired with the same process."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/column_name_labeler_example.ipynb b/docs/0.10.3/doctrees/nbsphinx/column_name_labeler_example.ipynb
new file mode 100644
index 000000000..6d3369698
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/column_name_labeler_example.ipynb
@@ -0,0 +1,364 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# ColumnName Labeler Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing `ColumnNameModel`:\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing `ColumnNameModel`\n",
+    "2. Run the labeler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35841215",
+   "metadata": {},
+   "source": [
+    "## Loading and predicting using a pre-existing model using `load_from_library`\n",
+    "\n",
+    "The easiest option for users is to `load_from_library` by specifying the name for the labeler in the `resources/` folder. Quickly import and start predicting with any model from the Data Profiler's library of models available."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46e36dd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library = dp.DataLabeler.load_from_library('column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfa94868",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library.predict(data=[\"ssn\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing column name labeler using `load_with_components`\n",
+    "\n",
+    "For example purposes here, we will import the exsting `ColumnName` labeler via the `load_with_components` command from the `dp.DataLabeler`. This shows a bit more of the details of the data labeler's flow."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "818c5b88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parameters = {\n",
+    "            \"true_positive_dict\": [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"ssn\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"name\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"address\"},\n",
+    "            ],\n",
+    "            \"false_positive_dict\": [\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"send_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "            \"negative_threshold_config\": 50,\n",
+    "            \"positive_threshold_config\": 85,\n",
+    "            \"include_label\": True,\n",
+    "        }\n",
+    "\n",
+    "label_mapping = {\"ssn\": 1, \"name\": 2, \"address\": 3}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9098329e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pre processor \n",
+    "preprocessor = dp.labelers.data_processing.DirectPassPreprocessor()\n",
+    "\n",
+    "# model\n",
+    "from dataprofiler.labelers.column_name_model import ColumnNameModel\n",
+    "model = ColumnNameModel(\n",
+    "    parameters=parameters,\n",
+    "    label_mapping=label_mapping,\n",
+    ")\n",
+    "\n",
+    "\n",
+    "# post processor\n",
+    "postprocessor = dp.labelers.data_processing.ColumnNameModelPostprocessor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_with_components(\n",
+    "    preprocessor=preprocessor,\n",
+    "    model=model,\n",
+    "    postprocessor=postprocessor,\n",
+    ")\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the ColumnName labeler\n",
+    "\n",
+    "In the prediction below, the data will be passed into to stages in the background\n",
+    "- 1) `compare_negative`: The idea behind the `compare_negative` is to first filter out any possibility of flagging a false positive in the model prediction. In this step, the confidence value is checked and if the similarity is too close to being a false positive, that particular string in the `data` is removed and not returned to the `compare_positive`.\n",
+    "- 2) `compare_positive`: Finally the `data` is passed to the `compare_positive` step and checked for similarity with the the `true_positive_dict` values. Again, during this stage the `positive_threshold_config` is used to filter the results to only those `data` values that are greater than or equal to the `positive_threshold_config` provided by the user."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(data=[\"ssn\", \"name\", \"address\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the parameters in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `true_positive_dict`, `false_positive_dict`, `negative_threshold_config`, `positive_threshold_config`, and `include_label`\n",
+    "\n",
+    "where `true_positive_dict` and `false_positive_dict` are `lists` of `dicts`, `negative_threshold_config` and `positive_threshold_config` are integer values between `0` and `100`, and `include_label` is a `boolean` value that determines if the output should include the prediction labels or only the confidence values."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, \"funky_one\": 1, \"funky_two\": 2, \"funky_three\": 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    true_positive_dict= [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"funky_one\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"funky_two\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"funky_three\"},\n",
+    "            ],\n",
+    "    false_positive_dict=[\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"not_my_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "    negative_threshold_config=50,\n",
+    "    positive_threshold_config=85,\n",
+    "    include_label=True,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new labels\n",
+    "\n",
+    "Here we are testing the `predict()` method with brand new labels for label_mapping. As we can see the new labels flow throught to the output of the data labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(data=[\"ssn\", \"suffix\"], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('new_column_name_labeler'):\n",
+    "    os.mkdir('new_column_name_labeler')\n",
+    "data_labeler.save_to_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict([\"ssn\", \"name\", \"address\"])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/data_reader.ipynb b/docs/0.10.3/doctrees/nbsphinx/data_reader.ipynb
new file mode 100644
index 000000000..d2ce887e6
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/data_reader.ipynb
@@ -0,0 +1,689 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d4d79832-59ab-410a-ad6d-fbba01a3f0d3",
+   "metadata": {},
+   "source": [
+    "# Intro to Data Readers\n",
+    "Within the Data Profiler, there are 5 data reader classes:\n",
+    "\n",
+    "  * CSVData (delimited data: CSV, TSV, etc.)\n",
+    "  * JSONData\n",
+    "  * ParquetData\n",
+    "  * AVROData\n",
+    "  * GraphData\n",
+    "  * TextData\n",
+    "  \n",
+    "Each of these classes can be used to read data individually, however the Data Profiler provides the unique capability of auto detecting what data you have and reading it automatically by using the `Data` class.\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "data = dp.Data('/path/to/mydata.abc')  # auto detects and reads your data\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2315666-20be-4937-9f9a-26d42dc135e2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Automatically reading and detecting data\n",
+    "\n",
+    "Below is a demonstration of utilizing the `Data` class which automatically detects the type of data for a given file and reads it automatically."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "99e61c6c-43b8-4700-b627-759b5ef8bdda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8821ad8d-b2c0-489c-ae6a-54c11b7f0a08",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "graph_files = [\n",
+    "    \"csv/graph_data_csv_identify.csv\", # csv file with graph column names\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "all_files = csv_files + json_files + parquet_files + avro_files + graph_files + text_files\n",
+    "print('filepath' + ' ' * 58 + 'data type')\n",
+    "print('='*80)\n",
+    "for file in all_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    data = dp.Data(filepath)\n",
+    "    print(\"{:<65} {:<15}\".format(file, data.data_type))\n",
+    "print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49dfc981-59fd-48a5-ad7b-e01f0a52d0b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# importing from a url\n",
+    "data = dp.Data('https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/diamonds.csv')\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77f8ef2d-5aaf-44d6-b6d1-bf14f7eb7aa6",
+   "metadata": {},
+   "source": [
+    "## Specifying detection options of `Data` and loading `pandas.DataFrame`\n",
+    "\n",
+    "The `Data` class also gives the ability to set options or if the user wants to load their data with specific requirements.\n",
+    "Options for each data reader are specified in the docs: https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "options = {...}  # allowed options are specified for each data reader.\n",
+    "data = dp.Data(data, options=options)\n",
+    "```\n",
+    "Later in this tutorial, the options for the CSVData class will be discussed.\n",
+    "\n",
+    "Additionally, a user can directly load a `pandas.DataFrame` as any data reader they choose."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b925d4e-ca94-4913-9acf-26a883585e85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "df = pd.DataFrame(['my', 'random', 'data'])\n",
+    "\n",
+    "# specify via the `Data` class\n",
+    "data = dp.Data(data=df, data_type='csv')\n",
+    "print('Data Type: ', data.data_type)\n",
+    "\n",
+    "# specifically use the CSVData class\n",
+    "data = CSVData(data=df)\n",
+    "print('Data Type: ', data.data_type)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52c3c3ac-c241-4d91-8ac7-b3d28ffd19c3",
+   "metadata": {},
+   "source": [
+    "## Accessing data and attributes\n",
+    "\n",
+    "Once loaded, the data can be accessed via the `data` property of the object. Additional information about the data loaded may differ between data readers.\n",
+    "\n",
+    "For this example we will focus on `CSVData`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09fa5929-e710-4107-9313-1370ab639c9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "data = dp.Data(filepath)\n",
+    "print('Data Type: ', data.data_type)\n",
+    "print('Data Filepath: ', data.input_file_path)\n",
+    "print('File Encoding: ', data.file_encoding)\n",
+    "print('Data Length (two techniques): ', len(data), data.length)\n",
+    "print(\"Data Access:\")\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b98be971-4768-479d-9e54-00f05a6fb790",
+   "metadata": {},
+   "source": [
+    "## Checking data file types with `is_match`\n",
+    "\n",
+    "Each data reader has a class method `is_match` which determines whether or not a dataset is of a given data type.\n",
+    "```python\n",
+    "CSVData.is_match\n",
+    "JSONData.is_match\n",
+    "ParquetData.is_match\n",
+    "AVROData.is_match\n",
+    "GraphData.is_match\n",
+    "TextData.is_match\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "104a32c1-1d50-4aa5-94ce-b2e72de38476",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# supplemental function\n",
+    "def add_true_false_color(value):\n",
+    "    \"\"\"Converts True to green and False to red in printed text.\"\"\"\n",
+    "    if value:\n",
+    "        return \"\\x1b[92m  \" + str(is_match) + \"\\x1b[0m\"\n",
+    "    return \"\\x1b[31m \" + str(is_match) + \"\\x1b[0m\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "06868d90-2726-4096-a6da-3866174e6671",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "non_csv_files = [\n",
+    "    'json/iris-utf-8.json',\n",
+    "    'json/honeypot_intentially_mislabeled_file.csv',\n",
+    "    'parquet/titanic.parq',\n",
+    "    'parquet/nation.plain.intentionally_mislabled_file.csv',\n",
+    "    'txt/code.txt',\n",
+    "    'txt/sentence.txt',\n",
+    "    'avro/users.avro',\n",
+    "    'avro/snappy_compressed_intentionally_mislabeled_file.csv',\n",
+    "]\n",
+    "\n",
+    "print(\"Is the file a CSV?\")\n",
+    "print('=' * 80)\n",
+    "for file in csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)\n",
+    "    \n",
+    "for file in non_csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38889990-8e19-4114-a4f3-dc2af938e29d",
+   "metadata": {},
+   "source": [
+    "## Reloading data after altering options with `reload`\n",
+    "\n",
+    "There are two cases for using the reload function, both of which require the data type to have been interpreted correctly:\n",
+    "\n",
+    "    1. The options were not correctly determined\n",
+    "    2. The options were loaded correctly but a change is desired.\n",
+    "    \n",
+    "In the example below, the `data_format` for reading the data is changed and the data is then reloaded."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "01870e8d-45ee-4f33-a088-4453c7ffc7c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "print('original data:')\n",
+    "print('=' * 80)\n",
+    "print(data.data[:5])\n",
+    "\n",
+    "print()\n",
+    "data.reload(options={'data_format': 'records', 'record_samples_per_line': 1})\n",
+    "print('reloaded data:')\n",
+    "print('=' * 80)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2285f19-9b34-4484-beaa-79df890b2825",
+   "metadata": {},
+   "source": [
+    "## A deeper dive into `CSVData`\n",
+    "\n",
+    "This next section will focus on how to use the data reader class: `CSVData`. The `CSVData` class is used for reading delimited data. Delimited data are datasets which have their columns specified by a specific character, commonly the `,`. E.g. from the `diamonds.csv` dataset:\n",
+    "```\n",
+    "carat,cut,color,clarity,depth,table,price,x,y,z\n",
+    "0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43\n",
+    "0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31\n",
+    "0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31\n",
+    "0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63\n",
+    "0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75\n",
+    "```\n",
+    "\n",
+    "However, the delimiter can be any character. Additionally, a `quotechar`, commonly `\"`, can be specified which allows a delimiter to be contained within a column value.\n",
+    "E.g. from the `blogposts.csv` dataset:\n",
+    "```\n",
+    "Blog Post,Date,Subject,Field\n",
+    "\"Monty Hall, meet Game Theory\",4/13/2014,Statistics,Mathematics\n",
+    "Gaussian Quadrature,4/13/2014,Algorithms,Mathematics\n",
+    "```\n",
+    "Notice how `\"Monty Hall, meet Game Theory\"` is contained by the quotechar because it contains the delimiter value `,`.\n",
+    "\n",
+    "These delimiter dataset parameters (and more) can be automatically determined by the `CSVData` data reader, however they can also be set via the options as demonstrated later in this tutorial."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccb6bf9-7fb8-46b8-992e-9caacb7ab3a8",
+   "metadata": {},
+   "source": [
+    "## Intro to the `CSVData` data reader\n",
+    "\n",
+    "Previously, it was shown that `CSVData` may automatically be detected using `Data` or can be manually specified by the user:\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "data = CSVData(filepath)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e25f5130-4f19-40c5-9d13-549a04f1aef5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/diamonds.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "\n",
+    "for file in csv_files:\n",
+    "    data = CSVData(os.path.join(data_folder, file))\n",
+    "    print(data.data.head())\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8940de56-1417-4bf6-af87-9d4d00b9a631",
+   "metadata": {},
+   "source": [
+    "## CSVData Options\n",
+    "\n",
+    "As mentioned preivously, `CSVData` has options that can be set to finetune its detection or to ensure the data is being read in a specific manner.\n",
+    "The options for `CSVData` are detailed below:\n",
+    "\n",
+    "  * delimiter - delimiter used to decipher the csv input file\n",
+    "  * quotechar - quote character used in the delimited file\n",
+    "  * header - location of the header in the file.\n",
+    "  * data_format - user selected format in which to return data can only be of specified types\n",
+    "  * selected_columns - columns being selected from the entire dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d74f2e8-0ec3-4e93-8778-0a5f013e0cdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# options are set via a dictionary object in which the parameters are specified.\n",
+    "# these are the default values for each option\n",
+    "options = {\n",
+    "    \"delimiter\": \",\",\n",
+    "    \"quotechar\": '\"',\n",
+    "    \"header\": 'auto',\n",
+    "    \"data_format\": \"dataframe\",  # type: str, choices: \"dataframe\", \"records\"\n",
+    "    \"selected_columns\": list(),\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9af108a1-ffe6-4c3a-82cc-833b1a3b57a1",
+   "metadata": {},
+   "source": [
+    "## Options: delimiter and quotechar\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `delimiter` and `quotechar`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "570e20c3-198e-4356-98d3-92eb9655ef4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/daily-activity-sheet-@-singlequote.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98385148-861e-4eb1-ba8d-e93120515401",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(filepath)  # or use CSVData\n",
+    "print('Auto detected')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f5d9306-d90a-4fc6-85a7-a0d535fe2d80",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'delimiter': '@', 'quotechar': \"'\"}\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('manually set')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7bfa60f-b5b9-48a5-adc5-3937aed145da",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# intentional failure with incorrect options\n",
+    "options = {'delimiter': ',', 'quotechar': '\"'}\n",
+    "\n",
+    "# will be interepted as TextData because the delimtier and quotechar were incorrect\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "print('intentional faliure set')\n",
+    "print('=' * 80)\n",
+    "try:\n",
+    "    print('delimiter: ', data.delimiter)  # attribute error raised here, bc TextData, not CSVData\n",
+    "    print('quotechar: ', data.quotechar)\n",
+    "    \n",
+    "    # should not reach this or something went wrong\n",
+    "    raise Exception('Should have failed because this is detected as TextData.')\n",
+    "except AttributeError:\n",
+    "    print('When data_type is not set or the CSVData is not set, it will fail over to the\\n'\n",
+    "          'next best reader. In this case it is \"TextData\"\\n')\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eeb41c7c-8319-40a3-9d87-88edbb3c5290",
+   "metadata": {},
+   "source": [
+    "## Options: header\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `header`.\n",
+    "\n",
+    "Notice how in the manually set mechanism, we are intentionally setting the header incorrectly to illustrate what happens."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a927ef-1ba8-4bf2-ae40-2a9909030609",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/sparse-first-and-last-column-header-and-author-description.txt\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0701d7bf-2de0-4dce-8f09-7f0cddd1132c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 'auto'}  # auto detected (default value)\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8642a0a-367a-44c6-b611-b89d97b29f85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 2}  # intentionally set incorrectly at value 2\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6e3f640-c809-4eb6-9571-30065821615e",
+   "metadata": {},
+   "source": [
+    "## Options: data_format\n",
+    "\n",
+    "For CSVData, the `data_format` option can have the following values:\n",
+    "\n",
+    "  * dataframe - (default) loads the dataset as a pandas.DataFrame\n",
+    "  * records   - loads the data as rows of text values, the extra parameter `record_samples_per_line` how many rows are combined into a single line\n",
+    "  \n",
+    "`dataframe` is used for conducting **structured profiling** of the dataset while `records` is for **unstructured profiling**.\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `data_format`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "146109ea-a554-4766-bb19-78c116d2a8dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dceac967-d326-4064-ba1c-87a1146c9d72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'dataframe'}  # default\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c25524f-ef23-4e06-9023-842c64c2640e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'records', 'record_samples_per_line': 1}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d45f3ed6-ddcd-4bf3-95bc-09f23eb94c97",
+   "metadata": {},
+   "source": [
+    "## Options: selected columns\n",
+    "\n",
+    "By default, all columns of a dataset will be read and loaded into the data reader. However, `selected_columns` can be set to only load columns which the user requests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9b45e18-93c6-42e6-b978-af51574307eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "018f3f4d-32ac-411a-9918-bae78aff0b0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'selected_columns': ['datetime', 'host', 'src', 'proto']}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b50679ea",
+   "metadata": {},
+   "source": [
+    "## Intro to `GraphData` data reader\n",
+    "\n",
+    "This tutorial will focus on how to use the data reader class: `GraphData`. The `GraphData` class is used for reading the delimited data from a CSV file into a `NetworkX` Graph object. This is all in an effort to prepare the data automaticaly for `GraphProfiler` class to then profile graph data. \n",
+    "\n",
+    "The DataProiler keys off of common graph naming conventions in the column header row. E.G. from `dataprofiler/tests/csv/graph_data_csv_identify.csv`\n",
+    "```\n",
+    "node_id_dst, node_id_src, continuous_weight, categorical_status\n",
+    "108,289,7.4448069,9\n",
+    "81,180,3.65064207,0\n",
+    "458,83,5.9959787,10\n",
+    "55,116,4.63359209,79\n",
+    "454,177,5.76715529,11\n",
+    "429,225,4.79556889,3\n",
+    "```\n",
+    "\n",
+    "Options for the `GraphData` are exactly the same as `CSVData`.\n",
+    "\n",
+    "\n",
+    "Example implementation of `GraphData`:\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "data = dp.Data(graph_file)\n",
+    "data = GraphData(graph_file)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "838db976",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "graph_file = \"csv/graph_data_csv_identify.csv\"\n",
+    "\n",
+    "data = GraphData(os.path.join(data_folder, graph_file))\n",
+    "print(data.data.edges)\n",
+    "print('=' * 80)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/graph_data_demo.ipynb b/docs/0.10.3/doctrees/nbsphinx/graph_data_demo.ipynb
new file mode 100644
index 000000000..088612872
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/graph_data_demo.ipynb
@@ -0,0 +1,271 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Graph Pipeline Demo"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components:\n",
+    "- GraphData\n",
+    "- GraphProfiler\n",
+    "\n",
+    "We will demo the use of this graph pipeline.\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import pprint\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now input our dataset into the generic DataProfiler pipeline:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/graph_data_csv_identify.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report = profile.report()\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(sort_dicts=False, compact=True)\n",
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We notice that the `Data` class automatically detected the input file as graph data. The `GraphData` class is able to differentiate between tabular and graph csv data. After `Data` matches the input file as graph data, `GraphData` does the necessary work to load the csv data into a NetworkX Graph. \n",
+    "\n",
+    "`Profiler` runs `GraphProfiler` when graph data is input (or when `data_type=\"graph\"` is specified). The `report()` function outputs the profile for the user."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The profile skeleton looks like this:\n",
+    "```\n",
+    "profile = {\n",
+    "    \"num_nodes\": ...,\n",
+    "    \"num_edges\": ...,\n",
+    "    \"categorical_attributes\": ...,\n",
+    "    \"continuous_attributes\": ...,\n",
+    "    \"avg_node_degree\": ...,\n",
+    "    \"global_max_component_size\": ...,\n",
+    "    \"continuous_distribution\": ...,\n",
+    "    \"categorical_distribution\": ...,\n",
+    "    \"times\": ...,\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Description of properties in profile:\n",
+    "- `num_nodes`: number of nodes in the graph\n",
+    "- `num_edges`: number of edges in the graph\n",
+    "- `categorical_attributes`: list of categorical edge attributes\n",
+    "- `continuous_attributes`: list of continuous edge attributes\n",
+    "- `avg_node_degree`: average degree of nodes in the graph\n",
+    "- `global_max_component_size`: size of largest global max component in the graph\n",
+    "- `continuous_distribution`: dictionary of statistical properties for each continuous attribute\n",
+    "- `categorical_distribution`: dictionary of statistical properties for each categorical attribute\n",
+    "\n",
+    "The `continuous_distribution` and `categorical_distribution` dictionaries list statistical properties for each edge attribute in the graph:\n",
+    "```\n",
+    "continuous_distribution = {\n",
+    "    \"name\": ...,\n",
+    "    \"scale\": ...,\n",
+    "    \"properties\": ...,\n",
+    "}\n",
+    "```\n",
+    "```\n",
+    "categorical_distribution = {\n",
+    "    \"bin_counts\": ...,\n",
+    "    \"bin_edges\": ...,\n",
+    "}\n",
+    "```\n",
+    "Description of each attribute:\n",
+    "- Continuous distribution:\n",
+    "    - `name`: name of the distribution\n",
+    "    - `scale`: negative log likelihood used to scale distributions and compare them in `GraphProfiler`\n",
+    "    - `properties`: list of distribution props\n",
+    "- Categorical distribution:\n",
+    "    - `bin_counts`: histogram bin counts\n",
+    "    - `bin_edges`: histogram bin edges\n",
+    "\n",
+    "`properties` lists the following distribution properties: [optional: shape, loc, scale, mean, variance, skew, kurtosis]. The list can be either 6 length or 7 length depending on the distribution (extra shape parameter):\n",
+    "- 6 length: norm, uniform, expon, logistic\n",
+    "- 7 length: gamma, lognorm\n",
+    "    - gamma: shape=`a` (float)\n",
+    "    - lognorm: shape=`s` (float)\n",
+    "    \n",
+    "For more information on shape parameters `a` and `s`: https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile\n",
+    "Below you will see an example of how a Graph Profile can be saved and loaded again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The default save filepath is profile-<datetime>.pkl\n",
+    "profile.save(filepath=\"profile.pkl\")\n",
+    "\n",
+    "new_profile = dp.GraphProfiler.load(\"profile.pkl\")\n",
+    "new_report = new_profile.report()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Difference in Data\n",
+    "If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diff = profile.diff(new_profile)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Another use for diff might be to provide differences between training and testing profiles as shown in the cell below.\n",
+    "We will use the profile above as the training profile and create a new profile to represent the testing profile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training_profile = profile\n",
+    "\n",
+    "testing_data = dp.Data(os.path.join(data_path, \"csv/graph-differentiator-input-positive.csv\"))\n",
+    "testing_profile = dp.Profiler(testing_data)\n",
+    "\n",
+    "test_train_diff = training_profile.diff(testing_profile)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Below you can observe the difference between the two profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(test_train_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/labeler.ipynb b/docs/0.10.3/doctrees/nbsphinx/labeler.ipynb
new file mode 100644
index 000000000..af31b68c5
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/labeler.ipynb
@@ -0,0 +1,650 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "spoken-reunion",
+   "metadata": {},
+   "source": [
+    "# Sensitive Data Detection with the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "interesting-bidder",
+   "metadata": {},
+   "source": [
+    "In this example, we utilize the Labeler component of the Data Profiler to detect the sensitive information for both structured and unstructured data. In addition, we show how to train the Labeler on some specific dataset with different list of entities.\n",
+    "\n",
+    "First, let's dive into what the Labeler is."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1965b83b",
+   "metadata": {},
+   "source": [
+    "## What is the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "388c643f",
+   "metadata": {},
+   "source": [
+    "The Labeler is a pipeline designed to make building, training, and predictions with ML models quick and easy. There are 3 major components to the Labeler: the preprocessor, the model, and the postprocessor."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5d0aeb4",
+   "metadata": {},
+   "source": [
+    "![alt text](DL-Flowchart.png \"Title\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "550323c7",
+   "metadata": {},
+   "source": [
+    "Each component can be switched out individually to suit your needs. As you might expect, the preprocessor takes in raw data and prepares it for the model, the model performs the prediction or training, and the postprocessor takes prediction results and turns them into human-readable results. \n",
+    "\n",
+    "Now let's run some examples. Start by importing all the requirements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "scientific-stevens",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5125b215",
+   "metadata": {},
+   "source": [
+    "## Structured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "wicked-devon",
+   "metadata": {},
+   "source": [
+    "We'll use the aws honeypot dataset in the test folder for this example. First, look at the data using the Data Reader class of the Data Profiler. This dataset is from the US department of educations, [found here!](https://data.ed.gov/dataset/college-scorecard-all-data-files-through-6-2020/resources?resource=823ac095-bdfc-41b0-b508-4e8fc3110082)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "adjusted-native",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab6ccf8a",
+   "metadata": {},
+   "source": [
+    "We can directly predict the labels of a structured dataset on the cell level."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19529af4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "\n",
+    "# print out the labels and label mapping\n",
+    "print(\"Labels: {}\".format(labeler.labels)) \n",
+    "print(\"\\n\")\n",
+    "print(\"Label Mapping: {}\".format(labeler.label_mapping))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# make predictions and get labels for each cell going row by row\n",
+    "# predict options are model dependent and the default model can show prediction confidences\n",
+    "predictions = labeler.predict(data, predict_options={\"show_confidences\": True})\n",
+    "\n",
+    "# display prediction results\n",
+    "print(\"Predictions: {}\".format(predictions['pred']))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# display confidence results\n",
+    "print(\"Confidences: {}\".format(predictions['conf']))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2af72e2c",
+   "metadata": {},
+   "source": [
+    "The profiler uses the Labeler to perform column by column predictions. The data contains 11 columns, each of which has  data label. Next, we will use the Labeler of the Data Profiler to predict the label for each column in this tabular dataset. Since we are only going to demo the labeling functionality, other options of the Data Profiler are disabled to keep this quick."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6cb9d7e-149a-4cfe-86f8-76c47c57aeea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# helper functions for printing results\n",
+    "\n",
+    "def get_structured_results(results):\n",
+    "    \"\"\"Helper function to get data labels for each column.\"\"\"\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    samples = []\n",
+    "    for col in results['data_stats']:\n",
+    "        columns.append(col['column_name'])\n",
+    "        predictions.append(col['data_label'])\n",
+    "        samples.append(col['samples'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions, 'Sample': samples})\n",
+    "    return df_results\n",
+    "\n",
+    "def get_unstructured_results(data, results):\n",
+    "    \"\"\"Helper function to get data labels for each labeled piece of text.\"\"\"\n",
+    "    labeled_data = []\n",
+    "    for pred in results['pred'][0]:\n",
+    "        labeled_data.append([data[0][pred[0]:pred[1]], pred[2]])\n",
+    "    label_df = pd.DataFrame(labeled_data, columns=['Text', 'Labels'])\n",
+    "    return label_df\n",
+    "    \n",
+    "\n",
+    "pd.set_option('display.width', 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "secret-million",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# set options to only run the labeler\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"chi2_homogeneity.is_enabled\": False,\n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "\n",
+    "results = profile.report()    \n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fatty-louisville",
+   "metadata": {},
+   "source": [
+    "In this example, the results show that the Data Profiler is able to detect integers, URLs, address, and floats appropriately. Unknown is typically strings of text, which is appropriate for those columns."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "unavailable-diploma",
+   "metadata": {},
+   "source": [
+    "## Unstructured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "metallic-coaching",
+   "metadata": {},
+   "source": [
+    "Besides structured data, the Labeler detects the sensitive information on the unstructured text. We use a sample of spam email in Enron email dataset for this demo. As above, we start investigating the content of the given email sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "unauthorized-lounge",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# load data\n",
+    "data = \"Message-ID: <11111111.1111111111111.JavaMail.evans@thyme>\\n\" + \\\n",
+    "        \"Date: Fri, 10 Aug 2005 11:31:37 -0700 (PDT)\\n\" + \\\n",
+    "        \"From: w..smith@company.com\\n\" + \\\n",
+    "        \"To: john.smith@company.com\\n\" + \\\n",
+    "        \"Subject: RE: ABC\\n\" + \\\n",
+    "        \"Mime-Version: 1.0\\n\" + \\\n",
+    "        \"Content-Type: text/plain; charset=us-ascii\\n\" + \\\n",
+    "        \"Content-Transfer-Encoding: 7bit\\n\" + \\\n",
+    "        \"X-From: Smith, Mary W. </O=ENRON/OU=NA/CN=RECIPIENTS/CN=SSMITH>\\n\" + \\\n",
+    "        \"X-To: Smith, John </O=ENRON/OU=NA/CN=RECIPIENTS/CN=JSMITH>\\n\" + \\\n",
+    "        \"X-cc: \\n\" + \\\n",
+    "        \"X-bcc: \\n\" + \\\n",
+    "        \"X-Folder: \\SSMITH (Non-Privileged)\\Sent Items\\n\" + \\\n",
+    "        \"X-Origin: Smith-S\\n\" + \\\n",
+    "        \"X-FileName: SSMITH (Non-Privileged).pst\\n\\n\" + \\\n",
+    "        \"All I ever saw was the e-mail from the office.\\n\\n\" + \\\n",
+    "        \"Mary\\n\\n\" + \\\n",
+    "        \"-----Original Message-----\\n\" + \\\n",
+    "        \"From:   Smith, John  \\n\" + \\\n",
+    "        \"Sent:   Friday, August 10, 2005 13:07 PM\\n\" + \\\n",
+    "        \"To:     Smith, Mary W.\\n\" + \\\n",
+    "        \"Subject:        ABC\\n\\n\" + \\\n",
+    "        \"Have you heard any more regarding the ABC sale? I guess that means that \" + \\\n",
+    "        \"it's no big deal here, but you think they would have send something.\\n\\n\\n\" + \\\n",
+    "        \"John Smith\\n\" + \\\n",
+    "        \"123-456-7890\\n\"\n",
+    "\n",
+    "# convert string data to list to feed into the labeler\n",
+    "data = [data]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "concerned-segment",
+   "metadata": {},
+   "source": [
+    "By default, the Labeler predicts the results at the character level for unstructured text."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "junior-acrobat",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='unstructured')\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print(predictions['pred'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "individual-diabetes",
+   "metadata": {},
+   "source": [
+    "In addition to the character-level result, the Labeler provides the results at the word level following the standard NER (Named Entity Recognition), e.g., utilized by spaCy. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "optical-universe",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# convert prediction to word format and ner format\n",
+    "# Set the output to the NER format (start position, end position, label)\n",
+    "labeler.set_params(\n",
+    "    { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } } \n",
+    ")\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print('\\n')\n",
+    "print('=======================Prediction======================\\n')\n",
+    "for pred in predictions['pred'][0]:\n",
+    "    print('{}: {}'.format(data[0][pred[0]: pred[1]], pred[2]))\n",
+    "    print('--------------------------------------------------------')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "behavioral-tourism",
+   "metadata": {},
+   "source": [
+    "Here, the Labeler is able to identify sensitive information such as datetime, email address, person names, and phone number in an email sample. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "nasty-disney",
+   "metadata": {},
+   "source": [
+    "## Train the Labeler from Scratch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "destroyed-twist",
+   "metadata": {},
+   "source": [
+    "The Labeler can be trained from scratch with a new list of labels. Below, we show an example of training the Labeler on a dataset with labels given as the columns of that dataset. For brevity's sake, let's only train a few epochs with a subset of a dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "utility-evaluation",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "df.head()\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df = df.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df[:int((1 - split_ratio) * len(df))]\n",
+    "data_test = df[int((1 - split_ratio) * len(df)):]\n",
+    "\n",
+    "# train a new labeler with column names as labels\n",
+    "if not os.path.exists('data_labeler_saved'):\n",
+    "    os.makedirs('data_labeler_saved')\n",
+    "\n",
+    "labeler = dp.train_structured_labeler(\n",
+    "    data=data_train,\n",
+    "    save_dirpath=\"data_labeler_saved\",\n",
+    "    epochs=10,\n",
+    "    default_label=\"OPEID6\"\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "utility-torture",
+   "metadata": {},
+   "source": [
+    "The trained Labeler is then used by the Data Profiler to provide the prediction on the new dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "answering-panel",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the labeler object\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "polish-stand",
+   "metadata": {},
+   "source": [
+    "Another way to use the trained Labeler is through the directory path of the saved labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "industrial-characterization",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# predict with the labeler loaded from path\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_dirpath': 'data_labeler_saved'})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2acedba0",
+   "metadata": {},
+   "source": [
+    "## Transfer Learning a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f15fb1f",
+   "metadata": {},
+   "source": [
+    "Instead of training a model from scratch, we can also transfer learn to improve the model and/or extend the labels. Again for brevity's sake, let's only train a few epochs with a small dataset at the cost of accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0104c374",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "\n",
+    "\n",
+    "# prep data\n",
+    "df_data = df_data.reset_index(drop=True).melt()\n",
+    "df_data.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "df_data = df_data.astype(str)\n",
+    "new_labels = df_data[1].unique().tolist()\n",
+    "\n",
+    "# load structured Labeler w/ trainable set to True\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "\n",
+    "# Reconstruct the model to add each new label\n",
+    "for label in new_labels:\n",
+    "    labeler.add_label(label)\n",
+    "\n",
+    "# this will use transfer learning to retrain the labeler on your new\n",
+    "# dataset and labels.\n",
+    "# Setting labels with a list of labels or label mapping will overwrite the existing labels with new ones\n",
+    "# Setting the reset_weights parameter to false allows transfer learning to occur\n",
+    "model_results = labeler.fit(x=df_data[0], y=df_data[1], validation_split=0.2, \n",
+    "                                 epochs=10, labels=None, reset_weights=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae78745f",
+   "metadata": {},
+   "source": [
+    "Let's display the training results of the last epoch:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b764aa8c",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "print(\"{:16s}  Precision  Recall  F1-score  Support\".format(\"\"))\n",
+    "for item in model_results[-1][2]:\n",
+    "    print(\"{:16s}  {:4.3f}      {:4.3f}   {:4.3f}     {:7.0f}\".format(item,\n",
+    "                                                                      model_results[-1][2][item][\"precision\"],\n",
+    "                                                                      model_results[-1][2][item][\"recall\"],\n",
+    "                                                                      model_results[-1][2][item][\"f1-score\"],\n",
+    "                                                                      model_results[-1][2][item][\"support\"]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44009522",
+   "metadata": {},
+   "source": [
+    "It is now trained to detect additional labels! The model results here show all the labels training accuracy. Since only new labels existed in the dataset, only the new labels are given accuracy scores. Keep in mind this is a small dataset for brevity's sake and that real training would involve more samples and better results."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e110ee1c",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c484d193",
+   "metadata": {},
+   "source": [
+    "The Labeler can easily be saved or loaded with one simple line."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d8684fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ensure save directory exists\n",
+    "if not os.path.exists('my_labeler'):\n",
+    "    os.makedirs('my_labeler')\n",
+    "\n",
+    "# Saving the labeler\n",
+    "labeler.save_to_disk(\"my_labeler\")\n",
+    "\n",
+    "# Loading the labeler\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', dirpath=\"my_labeler\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8d36dec8",
+   "metadata": {},
+   "source": [
+    "## Building a Labeler from the Ground Up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59346d2b",
+   "metadata": {},
+   "source": [
+    "As mentioned earlier, the labeler is comprised of three components, and each of the compenents can be created and interchanged in the the labeler pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6506ef97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "from dataprofiler.labelers.character_level_cnn_model import \\\n",
+    "    CharacterLevelCnnModel\n",
+    "from dataprofiler.labelers.data_processing import \\\n",
+    "    StructCharPreprocessor, StructCharPostprocessor\n",
+    "\n",
+    "model = CharacterLevelCnnModel({\"PAD\":0, \"UNKNOWN\":1, \"Test_Label\":2})\n",
+    "preprocessor = StructCharPreprocessor()\n",
+    "postprocessor = StructCharPostprocessor()\n",
+    "\n",
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "labeler.set_preprocessor(preprocessor)\n",
+    "labeler.set_model(model)\n",
+    "labeler.set_postprocessor(postprocessor)\n",
+    "\n",
+    "# check for basic compatibility between the processors and the model\n",
+    "labeler.check_pipeline()\n",
+    "\n",
+    "# Optionally set the parameters\n",
+    "parameters={\n",
+    "    'preprocessor':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'model':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'postprocessor':{\n",
+    "        'random_state': random.Random(1)\n",
+    "    }\n",
+    "} \n",
+    "labeler.set_params(parameters)\n",
+    "\n",
+    "labeler.help()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f020d7f",
+   "metadata": {},
+   "source": [
+    "The components can each be created if you inherit the BaseModel and BaseProcessor for the model and processors, respectively. More info can be found about coding your own components in the Labeler section of the [documentation]( https://capitalone.github.io/dataprofiler). In summary, the Data Profiler open source library can be used to scan sensitive information in both structured and unstructured data with different file types. It supports multiple input formats and output formats at word and character levels. Users can also train the labeler on their own datasets."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/merge_profile_list.ipynb b/docs/0.10.3/doctrees/nbsphinx/merge_profile_list.ipynb
new file mode 100644
index 000000000..4654caf8f
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/merge_profile_list.ipynb
@@ -0,0 +1,159 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "60af5256",
+   "metadata": {},
+   "source": [
+    "# Merge List of Profiles\n",
+    "\n",
+    "This is an example of a new utils in the dataprofiler for distributed merging of profile objects. This assumes the user is providing a list of profile objects to the utils function for merging all the profiles together."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7eee37ff",
+   "metadata": {},
+   "source": [
+    "## Imports\n",
+    "\n",
+    "Let's start by importing the necessary packages..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0d27009",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tensorflow as tf\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.utils import merge_profile_list\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.utils import merge_profile_list\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4369e64",
+   "metadata": {},
+   "source": [
+    "## Setup the Data and Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "410c3c4d",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. \n",
+    "\n",
+    "1. Instantiate a Pandas dataframe with dummy data\n",
+    "2. Pass the dataframe to the `Profiler` and instantiate two separate profilers in a list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3567c82",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {'col1': [1, 2], 'col2': [3, 4]}\n",
+    "df = pd.DataFrame(data=d)\n",
+    "\n",
+    "list_of_profiles = [dp.Profiler(df), dp.Profiler(df)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "350502eb",
+   "metadata": {},
+   "source": [
+    "Take a look at the list of profiles... "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b649db32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_of_profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ed4fc12",
+   "metadata": {},
+   "source": [
+    "## Run Merge on List of Profiles\n",
+    "\n",
+    "Now let's merge the list of profiles into a `single_profile`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4a636047",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile = merge_profile_list(list_of_profiles=list_of_profiles)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0aa88720",
+   "metadata": {},
+   "source": [
+    "And check out the `.report` on the single profile:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34059c21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile.report()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dataprofiler",
+   "language": "python",
+   "name": "dataprofiler"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/overview.ipynb b/docs/0.10.3/doctrees/nbsphinx/overview.ipynb
new file mode 100644
index 000000000..d5e77abe4
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/overview.ipynb
@@ -0,0 +1,470 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fc2826d9",
+   "metadata": {},
+   "source": [
+    "# Data Profiler - What's in your data?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b997522b",
+   "metadata": {},
+   "source": [
+    "This introductory jupyter notebook demonstrates the basic usages of the Data Profiler. The library is designed to easily detect sensitive data and gather statistics on your datasets with just several lines of code. The Data Profiler can handle several different data types including: CSV (or any delimited file), JSON, Parquet, AVRO, and text. Additionally, there are a plethora of options to customize your profile. This library also has the ability to update profiles from multiple batches of large datasets, or merge multiple profiles. In particular, this example covers the followings:\n",
+    "\n",
+    "- Basic usage of the Data Profiler\n",
+    "- The data reader class\n",
+    "- Profiler options\n",
+    "- Updating profiles and merging profiles\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef404c84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f51971e3",
+   "metadata": {},
+   "source": [
+    "## Basic Usage of the Data Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "639e66d3",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. A CSV dataset is read using the data reader, then the Data object is given to the Data Profiler to detect sensitive data and obtain the statistics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5379c45c",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "print(data.data.head())\n",
+    "\n",
+    "# run data profiler and get the report\n",
+    "profile = dp.Profiler(data)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57fe2827",
+   "metadata": {},
+   "source": [
+    "The report includes `global_stats` and `data_stats` for the given dataset. The former contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio, while the latter contains specific properties and statistics for each column such as detected data label, min, max, mean, variance, etc. In this example, the `compact` format of the report is used to shorten the full list of the results. To get more results related to detailed predictions at the entity level from the Data Labeler component or histogram results, the format `pretty` should be used."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74027cfd",
+   "metadata": {},
+   "source": [
+    "## Data reader class"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41364888",
+   "metadata": {},
+   "source": [
+    "DataProfiler can detect multiple file types including CSV (or any delimited file), JSON, Parquet, AVRO, and text. The example below shows that it successfully detects data types from multiple categories regardless of the file extensions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "823829f4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": csv_files,\n",
+    "    \"json\": json_files,\n",
+    "    \"parquet\": parquet_files,\n",
+    "    \"avro\": avro_files,\n",
+    "    \"text\": text_files\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    print(file_type)\n",
+    "    for file in all_files[file_type]:\n",
+    "        data = dp.Data(os.path.join(data_path, file))\n",
+    "        print(\"{:<85} {:<15}\".format(file, data.data_type))\n",
+    "    print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f9d7e02",
+   "metadata": {},
+   "source": [
+    "The `Data` class detects the file type and uses one of the following classes: `CSVData`, `JSONData`, `ParquetData`, `AVROData`, `TextData`. Users can call these specific classes directly if desired. For example, below we provide a collection of data with different types, each of them is processed by the corresponding data class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "831e68a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use individual data reader classes\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "from dataprofiler.data_readers.json_data import JSONData\n",
+    "from dataprofiler.data_readers.parquet_data import ParquetData\n",
+    "from dataprofiler.data_readers.avro_data import AVROData\n",
+    "from dataprofiler.data_readers.text_data import TextData\n",
+    "\n",
+    "csv_files = \"csv/aws_honeypot_marx_geo.csv\"\n",
+    "json_files = \"json/complex_nested.json\"\n",
+    "parquet_files = \"parquet/nation.dict.parquet\"\n",
+    "avro_files = \"avro/userdata1.avro\"\n",
+    "text_files = \"txt/discussion_reddit.txt\"\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": [csv_files, CSVData],\n",
+    "    \"json\": [json_files, JSONData],\n",
+    "    \"parquet\": [parquet_files, ParquetData],\n",
+    "    \"avro\": [avro_files, AVROData],\n",
+    "    \"text\": [text_files, TextData],\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    file, data_reader = all_files[file_type]\n",
+    "    data = data_reader(os.path.join(data_path, file))\n",
+    "    print(\"File name {}\\n\".format(file))\n",
+    "    if file_type == \"text\":\n",
+    "        print(data.data[0][:1000]) # print the first 1000 characters\n",
+    "    else:\n",
+    "        print(data.data)\n",
+    "    print('===============================================================================')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "572df0a8",
+   "metadata": {},
+   "source": [
+    "In addition to reading the input data from multiple file types, the Data Profiler allows the input data as a dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df87ab83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84a06312",
+   "metadata": {},
+   "source": [
+    "## Structured Profiler vs. Unstructured Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c0ea925",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile and the unstructured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f4565d8",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Using the structured profiler\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))\n",
+    "\n",
+    "# Using the unstructured profiler\n",
+    "my_dataframe = pd.DataFrame([[\"Sample1\"],[\"Sample2\"],[\"Sample3\"]], columns=[\"Text_Samples\"])\n",
+    "profile = dp.Profiler(my_dataframe, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b16648ba",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b0cc8ad",
+   "metadata": {},
+   "source": [
+    "The Data Profiler can enable/disable statistics and modify features through profiler options. For example, if the users only want the statistics information, they may turn off the Data Labeler functionality. Below, let's remove the histogram and data labeler component while running Data Profiler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbac3a2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"histogram_and_quantiles.is_enabled\": False,\n",
+    "                     \"median_abs_deviation.is_enabled\": False,\n",
+    "                     \"median.is_enabled\": False,\n",
+    "                     \"mode.is_enabled\": False,\n",
+    "                     \"data_labeler.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "590ca50b",
+   "metadata": {},
+   "source": [
+    "Besides toggling on and off features, other options like the data labeler sample size or histogram bin method can be directly set and validated as shown here:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ed21bc1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.structured_options.data_labeler.sample_size = 1\n",
+    "profile_options.structured_options.int.histogram_and_quantiles.bin_count_or_method = \"rice\"\n",
+    "# An error will raise if the options are set incorrectly.\n",
+    "profile_options.validate()\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f690616",
+   "metadata": {},
+   "source": [
+    "## Update profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "965f8c85",
+   "metadata": {},
+   "source": [
+    "One of the interesting features of the Data Profiler is the ability to update profiles from batches of data, which allows for data streaming usage. In this section, the original dataset is separated into two batches with equal size. Each batch is then updated with Data Profiler sequentially.  \n",
+    "\n",
+    "After the update, we expect the resulted profiles give the same statistics as the profiles updated from the full dataset. We will verify that through some properties in `global_stats` of the profiles including `column_count`, `row_count`, `row_is_null_ratio`, `duplicate_row_count`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34ac4346",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# read the input data and devide it into two equal halves\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "df = data.data\n",
+    "df1 = df.iloc[:int(len(df)/2)]\n",
+    "df2 = df.iloc[int(len(df)/2):]\n",
+    "\n",
+    "# Update the profile with the first half\n",
+    "profile = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile.update_profile(df2)\n",
+    "\n",
+    "# Update profile with the full dataset\n",
+    "profile_full = dp.Profiler(df)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "report_full  = profile_full.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41ee2bf",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same whether they are broken into several updates or not."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c547f051",
+   "metadata": {},
+   "source": [
+    "## Merge profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5292962",
+   "metadata": {},
+   "source": [
+    "In addition to the profile update, Data Profiler provides the merging functionality which allows users to combine the profiles updated from multiple locations. This enables Data Profiler to be used in a distributed computing environment. Below, we assume that the two aforementioned halves of the original dataset come from two different machines. Each of them is then updated with the Data Profiler on the same machine, then the resulted profiles are merged.\n",
+    "\n",
+    "As with the profile update, we expect the merged profiles give the same statistics as the profiles updated from the full dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a565b8d1",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Update the profile with the first half\n",
+    "profile1 = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile2 = dp.Profiler(df2)\n",
+    "\n",
+    "# merge profiles\n",
+    "profile_merge = profile1 + profile2\n",
+    "\n",
+    "# check results of the merged profile\n",
+    "report_merge  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report_merge, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b77fac3f",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c644ee42",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "We have walked through some basic examples of Data Profiler usage, with different input data types and profiling options. We also work with update and merging functionality of the Data Profiler, which make it applicable for data streaming and distributed environment. Interested users can try with different datasets and functionalities as desired."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/popmon_dp_loader_example.ipynb b/docs/0.10.3/doctrees/nbsphinx/popmon_dp_loader_example.ipynb
new file mode 100644
index 000000000..3ddb267da
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/popmon_dp_loader_example.ipynb
@@ -0,0 +1,416 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7f0cceea",
+   "metadata": {},
+   "source": [
+    "# Dataloader with Popmon Reports"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e79d9c5",
+   "metadata": {},
+   "source": [
+    "This demo is to cover the usage of popmon with the dataloader from the dataprofiler\n",
+    "\n",
+    "This demo covers the followings:\n",
+    "\n",
+    "    - How to install popmon\n",
+    "    - Comparison of the dynamic dataloader from dataprofiler to the \n",
+    "        standard dataloader used in pandas\n",
+    "    - Popmon's usage example using both dataloaders\n",
+    "    - Dataprofiler's examples using both dataloaders\n",
+    "    - Usage of the pm_stability_report function (popmon reports)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aec2198a",
+   "metadata": {},
+   "source": [
+    "## How to Install Popmon\n",
+    "To install popmon you can use the command below:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4383ed2a",
+   "metadata": {},
+   "source": [
+    "`pip3 install popmon`\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91dedc34",
+   "metadata": {},
+   "source": [
+    "From here, we can import the libararies needed for this demo."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2adec556",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "import pandas as pd\n",
+    "import popmon  # noqa"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ed532ec",
+   "metadata": {},
+   "source": [
+    "## Comparison of Dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccbf4cd",
+   "metadata": {},
+   "source": [
+    "First, we have the original pandas dataloading which works for specific file types. \n",
+    "This is good for if the data format is known ahead of time but is less useful for more dynamic cases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e9ff89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def popmon_dataloader(path, time_index):\n",
+    "    # Load pm dataframe (Can only read csvs unless reader option is changed)\n",
+    "    if not time_index is None:\n",
+    "        pm_data = pd.read_csv(path, parse_dates=[time_index])\n",
+    "    else:\n",
+    "        time_index = True\n",
+    "        pm_data = pd.read_csv(path)\n",
+    "    return pm_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16dfbe10",
+   "metadata": {},
+   "source": [
+    "Next, we have the dataprofiler's dataloader. This allows for the dynamic loading of different data formats which is super useful when the data format is not know ahead of time.\n",
+    "This is intended to be an improvement on the dataloader standardly used in pandas."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07481259",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def dp_dataloader(path):\n",
+    "    # Datalaoder from dataprofiler used\n",
+    "    dp_data = dp.Data(path)\n",
+    "    \n",
+    "    # Profiler used to ensure proper label for datetime even \n",
+    "    # when null values exist\n",
+    "    profiler_options = dp.ProfilerOptions()\n",
+    "    profiler_options.set({'*.is_enabled': False,  # Runs first disabling all options in profiler\n",
+    "                          '*.datetime.is_enabled': True})\n",
+    "    profile = dp.Profiler(dp_data, options=profiler_options)\n",
+    "\n",
+    "    # convert any time/datetime types from strings to actual datatime type\n",
+    "    for ind, col in enumerate(dp_data.data.columns):\n",
+    "        if profile.profile[ind].profile.get('data_type') == 'datetime':\n",
+    "            dp_data.data[col] = pd.to_datetime(dp_data.data[col])\n",
+    "\n",
+    "    return dp_data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69a8ea9b",
+   "metadata": {},
+   "source": [
+    "## Popmon's usage example using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff914ca7",
+   "metadata": {},
+   "source": [
+    "Next, we'll download a dataset from the resources component"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bff33da8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gzip\n",
+    "import shutil\n",
+    "popmon_tutorial_data = popmon.resources.data(\"flight_delays.csv.gz\")\n",
+    "with gzip.open(popmon_tutorial_data, 'rb') as f_in:\n",
+    "    with open('./flight_delays.csv', 'wb') as f_out:\n",
+    "        shutil.copyfileobj(f_in, f_out)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19222c4a",
+   "metadata": {},
+   "source": [
+    "Finally we read in the data with popmon and print the report to a file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0090a2f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example\n",
+    "path = \"./flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_full\"\n",
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0abcd9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pm_data = popmon_dataloader(path, time_index)\n",
+    "\n",
+    "report_pm_loader = pm_data.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_pm_loader.to_file(os.path.join(report_output_dir, \"popmon_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"popmon_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2303b5cf",
+   "metadata": {},
+   "source": [
+    "We then do the same for the dataprofiler loader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2854383",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dp_dataframe = dp_dataloader(path)\n",
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cc4e5f3",
+   "metadata": {},
+   "source": [
+    "## Examples of data\n",
+    "Next, We'll use some data from the test files of the data profiler to compare the dynamic loading of the dataprofiler's data loader to that of the standard pandas approach. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "352eaeea",
+   "metadata": {},
+   "source": [
+    "## Dataprofiler's examples using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e99af913",
+   "metadata": {},
+   "source": [
+    "To execute this properly, simply choose one of the 3 examples below and then run the report generation below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80eb601d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example (mini version)\n",
+    "path = \"../dataprofiler/tests/data/csv/flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_mini\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c127288",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random csv from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "time_index = \"datetime\"\n",
+    "report_output_dir = \"./popmon_output/aws_honeypot_marx_geo\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cd5c385",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random json file from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/json/math.json\"\n",
+    "\n",
+    "time_index = \"data.9\"\n",
+    "report_output_dir = \"./popmon_output/math\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec860cb7",
+   "metadata": {},
+   "source": [
+    "Run the block below to create an output directory for your popmon reports."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf21835c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n",
+    "dp_dataframe = dp_dataloader(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "479975a5",
+   "metadata": {},
+   "source": [
+    "## Report comparison"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02a355e7",
+   "metadata": {},
+   "source": [
+    "We generate reports using different sets of data from the dataprofiler and pandas below using dataprofiler's dataloader and popmons report generator\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ce69145",
+   "metadata": {},
+   "source": [
+    "The dataprofiler's dataloader can seemlessly switch between data formats and generate reports with the exact same code in place."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0dcb405",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9eb0035c",
+   "metadata": {},
+   "source": [
+    "If the dataloaders are valid, you can see the reports and compare them at the output directory specified in the printout below each report generation block (the two code blocks below)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efe7d8d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save dp reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/profiler_example.ipynb b/docs/0.10.3/doctrees/nbsphinx/profiler_example.ipynb
new file mode 100644
index 000000000..b6a4409c9
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/profiler_example.ipynb
@@ -0,0 +1,577 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Structured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the structured data types for structured profiling. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio. `data_stats` contains specific properties and statistics for each column file such as min, max, mean, variance, etc.\n",
+    "\n",
+    "For structured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"column_count\": int,\n",
+    "    \"row_count\": int,\n",
+    "    \"row_has_null_ratio\": float,\n",
+    "    \"row_is_null_ratio\": float,    \n",
+    "    \"unique_row_ratio\": float,\n",
+    "    \"duplicate_row_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string,\n",
+    "},\n",
+    "\"data_stats\": [\n",
+    "    {\n",
+    "        \"column_name\": string,\n",
+    "        \"data_type\": string,\n",
+    "        \"data_label\": string,\n",
+    "        \"categorical\": bool,\n",
+    "        \"order\": string,\n",
+    "        \"samples\": list(str),\n",
+    "        \"statistics\": {\n",
+    "            \"sample_size\": int,\n",
+    "            \"null_count\": int,\n",
+    "            \"null_types\": list(string),\n",
+    "            \"null_types_index\": {\n",
+    "                string: list(int)\n",
+    "            },\n",
+    "            \"data_type_representation\": [string, list(string)],\n",
+    "            \"min\": [null, float],\n",
+    "            \"max\": [null, float],\n",
+    "            \"mean\": float,\n",
+    "            \"variance\": float,\n",
+    "            \"stddev\": float,\n",
+    "            \"histogram\": { \n",
+    "                \"bin_counts\": list(int),\n",
+    "                \"bin_edges\": list(float),\n",
+    "            },\n",
+    "            \"quantiles\": {\n",
+    "                int: float\n",
+    "            }\n",
+    "            \"vocab\": list(char),\n",
+    "            \"avg_predictions\": dict(float), \n",
+    "            \"data_label_representation\": dict(float),\n",
+    "            \"categories\": list(str),\n",
+    "            \"unique_count\": int,\n",
+    "            \"unique_ratio\": float,\n",
+    "            \"precision\": {\n",
+    "                'min': int,\n",
+    "                'max': int,\n",
+    "                'mean': float,\n",
+    "                'var': float,\n",
+    "                'std': float,\n",
+    "                'sample_size': int,\n",
+    "                'margin_of_error': float,\n",
+    "                'confidence_level': float\t\t\n",
+    "            },\n",
+    "            \"times\": dict(float),\n",
+    "            \"format\": string\n",
+    "        }\n",
+    "    }\n",
+    "]\n",
+    "```\n",
+    "\n",
+    "In the example, the `compact` format of the report is used to shorten the full list of the results. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Compact - A high level view, good for quick reviews\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from multiple file types, DataProfiler allows the input data as a dataframe. To get more results related to detailed predictions at the entity level from the DataLabeler component or histogram results, the format `pretty` should be used. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "241f6e3e",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b20879b",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc44eb47",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "# print the report using json to prettify.\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require histogram information they may desire to turn off the histogram functionality. Simialrly, if a user is looking for a more accurate labeling, they can increase the samples used to label.\n",
+    "\n",
+    "Below, let's remove the histogram and increase the number of samples to the labeler component (1,000 samples). \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/diamonds.csv\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"histogram.is_enabled\": False, \"int.is_enabled\": False})\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.structured_options.data_labeler.max_sample_size = 1000\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "# new_data = dp.Data(os.path.join(data_path, \"iris-utf-16.csv\")) # will error due to schema mismatch\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "375ff25c-b189-436a-b07d-5e7f13cc6e03",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "65360a03-e3ff-4f3c-9963-412298fdb284",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# structured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ae471ff-852f-400a-9bee-5c9fef96f10a",
+   "metadata": {},
+   "source": [
+    "## Graphing a Profile\n",
+    "\n",
+    "We've also added the ability to generating visual reports from a profile.\n",
+    "\n",
+    "The following plots are currently available to work directly with your profilers:\n",
+    "\n",
+    "  * missing values matrix\n",
+    "  * histogram (numeric columns only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "734b588d-ac9a-409c-8eb5-b1a0aede8c63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "# get the data\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "data = dp.Data(os.path.join(data_folder, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "\n",
+    "# profile the data\n",
+    "profile = dp.Profiler(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4e70204-fa30-43c2-9556-e84c19f82d32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate a missing values matrix\n",
+    "fig = plt.figure(figsize=(8, 6), dpi=100)\n",
+    "fig = dp.graphs.plot_missing_values_matrix(profile, ax=fig.gca(), title=\"Missing Values Matrix\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d734d355-e542-4245-a1e9-66521e333c2d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate histogram of all int/float columns\n",
+    "fig = dp.graphs.plot_histograms(profile)\n",
+    "fig.set_size_inches(8, 6)\n",
+    "fig.set_dpi(100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/names-col.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"csv/sparse-first-and-last-column-header-and-author.txt\",\n",
+    "             \"csv/sparse-first-and-last-column-skip-header.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4690068a-8fc3-4bd5-8649-63d0f34fa91d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb b/docs/0.10.3/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb
new file mode 100644
index 000000000..96aee213a
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/regex_labeler_from_scratch.ipynb
@@ -0,0 +1,444 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# Building a Regex Data Labeler w/ your own Regex"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing / create your own regex labeler as well as utilize it for structured data profiling.\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing regex data labeler\n",
+    "1. Replacing the existing regex rules with your own.\n",
+    "1. Utilizng a regex data labeler inside of the structured profiler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing regex data labeler\n",
+    "We can easily import the exsting regex labeler via the `load_from_library` command from the `dp.DataLabeler`. This allows us to import models other than the default structured / unstructured labelers which exist in the library."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_from_library('regex_model')\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters['regex_patterns'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the regex labeler\n",
+    "In the prediction below, the default settings will `split` the predictions by default as it's aggregation function. In other words, if a string '123 Fake St.' The first character would receive a vote for integer and for address giving both a 50% probability. This is because these regex functions are defined individually and a post prediction aggregation function must be used to get the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(['123 Fake St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the regex rules in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `regex_patterns`, `default_label`, `ignore_case`, and `encapsulators`\n",
+    "\n",
+    "where `regex_patterns` is a `dict` of lists or regex for each label, `default_label` is the expected default label for the regex, `ignore_case` tells the model to ignore case during its detection, and `encapsulators` are generic regex statements placed before (start) and after (end) each regex. Currently, this is used by the default model to capture labels that are within a cell rather than matching the entire cell. (e.g. ' 123 ' will still capture 123 as digits)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`. Additionally, we set enabled case sensitivity such that upper and lower case letters would be detected separately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'lowercase_char': 2, 'uppercase_chars': 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[+-]?[0-9]+'],\n",
+    "        'lowercase_char': [r'[a-z]+'],\n",
+    "        'uppercase_chars': [r'[A-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new regex labels\n",
+    "\n",
+    "Here we notice the otuput of the predictions gives us a prediction per character for each regex. Note how by default it is matching subtext due to the encapsulators. Where `123` were found to be digits, `FAKE` was foudn to be upper case, and the whitespaces and `St.` were other due no single regex being correct."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ce14e54-094f-41ff-9ce0-69acace6abc2",
+   "metadata": {},
+   "source": [
+    "Below we turn off case-sensitivity and we see how the aggregation funciton splits the votes for characters between the `lowercase` and `uppercase` chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7b8ed9d-c912-4dc7-82c5-ba78a3affc1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.model.set_params(ignore_case=True)\n",
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc66515f-24e4-40f0-8592-b1ee4fba7077",
+   "metadata": {},
+   "source": [
+    "For the rest of this notebook, we will just use a single regex serach which will capture both upper and lower case chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e0c1b11-d111-4080-873f-40aff7cf7930",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'chars': 2})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[=-]?[0-9]+'],\n",
+    "        'chars': [r'[a-zA-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28e7b2ee-c661-4b31-b727-078f1393b5c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f60c8fd1-76e1-469f-9e5a-62d7529301b3",
+   "metadata": {},
+   "source": [
+    "### Adjusting postprocessor properties\n",
+    "\n",
+    "Below we can look at the possible postprocessor parameters to adjust the aggregation function to the desired output. The previous outputs by default used the `split` aggregation function, however, below we will show the `random` aggregation function which will randomly choose a label if multiple labels have a vote for a given character."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36afa82b-1ca5-49ad-9aa9-84c6de621f59",
+   "metadata": {},
+   "source": [
+    "data_labeler.postprocessor.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66840940-47bf-433a-8ee8-977f26926e0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.postprocessor.set_params(aggregation_func='random')\n",
+    "data_labeler.predict(['123 FAKE St.'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c32b74fc-5051-4d53-b02a-4d1e4a35958f",
+   "metadata": {},
+   "source": [
+    "## Integrating the new Regex labeler into Structured Profiling\n",
+    "\n",
+    "While the labeler can be used alone, it is also possible to integrate the labeler into the StructuredProfiler with a slight change to its postprocessor. The StructuredProfiler requires a labeler which outputs othe confidence of each label for a given cell being processed. To convert the output of the `RegexPostProcessor` into said format, we will use the `StructRegexPostProcessor`. We can create the postprocessor and set the `data_labeler`'s postprocessor to this value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2663f2d-29a2-41ed-88dd-8a213d303365",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.labelers.data_processing import StructRegexPostProcessor\n",
+    "\n",
+    "postprocesor = StructRegexPostProcessor()\n",
+    "data_labeler.set_postprocessor(postprocesor)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7352769-d636-42c6-9706-7d9cff520a72",
+   "metadata": {},
+   "source": [
+    "Below we will see the output is now one vote per sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "18814634-0fd0-4ce8-b0c3-9b9454701a43",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.', '123', 'FAKE'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4aa4e36-7362-4966-b827-3f5a6f2dfa7c",
+   "metadata": {},
+   "source": [
+    "### Setting the Structuredprofiler's DataLabeler\n",
+    "\n",
+    "We can create a `ProfilerOption` and set the structured options to have the new data_labeler as its value. We then run the StructuredProfiler with the specified options."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f18cf7f-283e-4e54-b3f9-1312828c3029",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create and set the option for the regex data labeler to be used at profile time\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "\n",
+    "# profile the dataset using the suggested regex data labeler\n",
+    "data = pd.DataFrame(\n",
+    "    [['123 FAKE St.', 123, 'this'], \n",
+    "     [123           ,  -9, 'IS'], \n",
+    "     ['...'         , +80, 'A'], \n",
+    "     ['123'         , 202, 'raNDom'], \n",
+    "     ['test'        ,  -1, 'TEST']], \n",
+    "    dtype=object)\n",
+    "profiler = dp.Profiler(data, options=profile_options)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "663e49f7-358b-4b0f-99a4-1823908ef990",
+   "metadata": {},
+   "source": [
+    "Below we see the first column is given 3 labels as it received multiple votes for said column. However, it was confident on the second and third column which is why it only specified `digits` and `chars` respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f796d7f5-7e8a-447b-9cbb-d5b8180660a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(profiler.report(\n",
+    "    dict(output_format='compact', \n",
+    "         omit_keys=['data_stats.*.statistics', \n",
+    "                    'data_stats.*.categorical', \n",
+    "                    'data_stats.*.order', \n",
+    "                    'global_stats'])))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('my_new_regex_labeler'):\n",
+    "    os.mkdir('my_new_regex_labeler')\n",
+    "data_labeler.save_to_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict(['test', '123'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "606f9bbf-5955-4b7b-b0d1-390de5600f73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/nbsphinx/unstructured_profiler_example.ipynb b/docs/0.10.3/doctrees/nbsphinx/unstructured_profiler_example.ipynb
new file mode 100644
index 000000000..9ab754cc7
--- /dev/null
+++ b/docs/0.10.3/doctrees/nbsphinx/unstructured_profiler_example.ipynb
@@ -0,0 +1,436 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Unstructured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the unstructured data types for unstructured profiling. This means that only text files, lists of strings, single column pandas dataframes/series, or DataProfile Data objects in string format will work with the unstructured profiler. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as samples used and file encoding. `data_stats` contains specific properties and statistics for each text sample.\n",
+    "\n",
+    "For unstructured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"empty_line_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string\n",
+    "},\n",
+    "\"data_stats\": {\n",
+    "    \"data_label\": {\n",
+    "        \"entity_counts\": {\n",
+    "            \"word_level\": dict(int),\n",
+    "            \"true_char_level\": dict(int),\n",
+    "            \"postprocess_char_level\": dict(int)\n",
+    "        },\n",
+    "        \"times\": dict(float)\n",
+    "    },\n",
+    "    \"statistics\": {\n",
+    "        \"vocab\": list(char),\n",
+    "        \"words\": list(string),\n",
+    "        \"word_count\": dict(int),\n",
+    "        \"times\": dict(float)\n",
+    "    }\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d183992",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from text files, DataProfiler allows the input data as a pandas dataframe, a pandas series, a list, and Data objects (when an unstructured format is selected) if the Profiler is explicitly chosen as unstructured."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/SchoolDataSmall.csv\"), options={\"data_format\": \"records\"})\n",
+    "profile = dp.Profiler(data, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require vocab count information they may desire to turn off the word count functionality.\n",
+    "\n",
+    "Below, let's remove the vocab count and set the stop words. \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"*.vocab.is_enabled\": False, \"*.is_case_sensitive\": True })\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.unstructured_options.text.stop_words = [\"These\", \"are\", \"stop\", \"words\"]\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4704961a",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f92c1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# unstructured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"txt/sentence-3x.txt\",\n",
+    "             \"txt/sentence.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "print(data_objects)\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "    print(json.dumps(report, indent=4))\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/doctrees/overview.doctree b/docs/0.10.3/doctrees/overview.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c0d0c5707d8592c1bd95cba6c8e98de066b2637b
GIT binary patch
literal 39429
zcmeHQX^<pWab8J#%=Df*xkjQGVQChoyLTlB&{zv0v<OMdj5f5=YVokqQ{7!XRW;RB
zO&vQs2!S93Avx-YZM6V#*yfMJfK3R(cJPO=!vQ7;hp*qpVc-w8Bk+x}F&KZD@2F#X
zrh9s3jU>;6wB7yc9r>~{^JV7Cm+#4a&;9uMJ^Ys*je54@U#^+$wjZ>usGm->gI3bD
z{J8&Y|M-XdPxNQf$<SPlf+TEN{d5m%v~0&~hnC;Jh=)h0e(ZQrO?EKZGedJZG<&x0
z!QPjyES-0(RU@{Y$nb;MY6iiI5%|WtocR8vY20ncaW9&y*O#5xPMWn=(5<)3o)ep1
z;9K=DX*#XIug9Tf)w`zS*Hs@;J-B3rm(X|3Z+ecu^0uW$-#!4y>`4G_bu0i1z|~~z
zefAN0jHi1au`bgr)2Yos>wmP*Sil@Mub1w}#0hWqb?Ib7W6{1Q-7k^1knRP9R(~OB
znrX$1<Irg)F_2D3zQ$=sKxlfP<(W~0LVVxnn_cm3qMh`zA5F8hf~j$xy;MAG4(WbW
zPeP}kKCokm?kDMi*j(n}?PK<oeJE)HtNUX!T(&am0p8xdldqRwu5AEi_B2p5MX$a}
zWK~rpQ4Rd6Afvu%zaFppHdSvu`RRHysP_icQ;4$biG9L8nN~CjwfkqT60@}Q@Tz-T
zHm5cf`<C=f{n5w@qxwqZTV}J~I@#!jforwmsQ%EoMriedsD9dv&9h<9aXc%mgIuDz
zAd@md_wCo7xf%msW8Z9F0~GH`58KYN?cx8}GyUZ}Y42y!R>&zs2lAu(>0Tc^1?uVq
z#L~~CM~NzdJv+1_JMh~5U!M4x`1=q|=zcZ0eT)4r0CN?;=L2BTf|vkj4H<s&a@U)S
zdM3${i5><6<63<h;<3^Y`^69uFy;jQx)~C0?~9$-%ky=58)4K?C^f3aW40N8@5$#Q
z!|{zZ$S<Rf3U3z#bkoSyHUHaPK)FJ1!M<g|el2nFri9?2dPh`eyiH<K7lcS1iYvQm
zw-jRXeH=v}2UQ;z=C9tf=Mj>qjvt3XJ88v1xMsLXZ!NaMOw6{eZs138XhPP21uUa!
zMo!B}B6Ar9L5Ir<$g3HTpql42LlYfh04xp8vTwDGI4~@<_SR4o<MkMk<ws8JT(TIu
zhUvGBWfOyhMiiT|6U9yoW8_{yWW|xO3Na5rBWe%%ZF(5Y7r?Zz4vFy#AQ>&wH*9q8
zS-MTz>9Bl{#n|y$4_!EZ%S+mhzdUE$d+xk36NCVY!1bK26JrX*amQzk2hTmUFl(GO
z!}ldtJZs!@{^5sa8T=T_Le03R-Nv*6-}Jn-S;A0g8IbRWY4kiRwu8_l%mqEF1FQx{
z3$qEj&igGvYhZX9h-L!(DO8$X6krzOHJDAubK*5>ob*7OmLVHOMkfrqMmO<d2czMA
z#VuQ4$0O-lAwniR&Kj6q*FsTNS@lsf9`Fq;Nq7MXTG1Q;h;`ZQQkN}SHU$`+!1IDt
zAS{}bys=AIyM(pFgq2Crryv$TGP)GSa>~;41|>~-X*k$SJg{NIgMb;hJWSG)2Kc?3
zdz>2Y$RyuD!6z6%OIZ7PUQllup<y<`=K<-bw?4sFpxGyettro;(ywJ}3f3U|<7zob
zZzQ2jqQM9)vkeK%s$_XeFUTovP&=E)3mEGwTc5`((d<jxn#VD{hD-5Up29cf6xLVF
zp#LVo_}12;e-)a2V_VSQ{wT?Eh|^4()1pXHI$u~RO)9-@w05Ey)Rz&fXBhb&ruLn!
zW8~Fn_U)}>WMd^c-7lE8pI%jE?eAA4ixUU1vXfVG(!1|-!UzjA*j*@d-ChvJth0z!
z)xpZ>TUMKvc1W%KGFMaB+FmCa4*v%r{$%SooXX8?yDH!`3&2U3!!ZnDE6m9^p@7f8
zMA#en-rBk+P@4}!;~;&j(e#4WO0Gt_chR`06ae`noA-Wu%6;usd-jy+07fq~m0k=>
z3s#mggVG5yG!m$n%Gi+lta~&1Kv%D(56Ja$cZE*&T9<nvI<VueM|9%8QZ&Ai;YcU^
zrf^>L(?j<{XS@eOZvmgVISG8Yx1fO*l3#WN{RB}(ev8)hS2qfLRonyDLQ%tiy|yar
znsLtyV$fZ!w?^Oiu@_g+N3937x90e;YT}s_v&QYU+U>_xLz2o;F@rh^eY#g+C9Xk@
zj8n#Rtya(1sY6wVu}DSJiiTf;kQWK)ZT#YjMpIgG{9Y0_pjw+76VZeNlg1AGJNqR<
z`b8p%VT7b;)O{Ul!y6N0Z4CR*5J}xd?WbHpQbmz9lOFJ!3>>@y@GY6pG^{*<Qv2(<
zecsHYC3(9nekb~{6vZm0c2$8=Mjj>mZ4)g<Yb~2p)Gx^G3QVlf$5u>S*VZjqPrGZp
z`IozSJG#+oSo-H|L`ipm0Vl<3-jG!`&0tIR9ySAslVCBCElbJ~j9*%eVb<jpCbsi@
zE<H_ZRL~@!4YgT@fr|%0_Dt(2DBRc-4w@vSxm9Kk>s9IHHm!`Bo)Xmb5ltJTI82nP
ze;ORAsA^}Z>A|Gw-T+t>3rU`GU$w5RxL6Eb6Mq98lov7g4Jh1bJ#_1MSQ28Np`u|z
zOst0PTWG*+EqtDSHr+XV6z5i$$A$aw{8rF>f!c|jnHN~dF(2@ngypE+s}Tdt1aeh#
z1IM2s7UK14)|hTZm+IIQXh0@gYrP<Dbj|Q`W7!I7crtzbc%>J@C&f)_)UIZO>1I$~
zxzz|0Uoc&^Ad=Gv%t`D>&e1SNdv>1)SQM{uf5+jHWepI|WUZPgnGqiiX*HaBd^$*C
zT3nzOV&$Hmn}*L4?#Fog2?m5=EDlOQlM+yCC*58oJDi12sSVHmsW%-zE*IlnjP4vp
zwbTGtPPt!YiY_V%?gJ>?h@;XCm4n|$tD$_Qm4nZr_CV!8@K{MXaDNHa-9`Mffli<$
z7(u|^;&If1QZHxTn_m_$Jk0)I#WT|L32SI+Y1s>!Q1WTbiI$ewt+}+s46KTTsbtBO
zjUHin6n<A?7xEqm3j^L;_RxC7Z9OQrWN*o(mYNw+(y~dX^^<NB&G0D1`dn`XUefj9
zqV(aaG2nc5f>{IGSf0}&SEnpk#a^PtJm_IVEI(@0vsz9Ee(Kz?WJqW0D4TnhiP6Pa
z8WOP{!yaV#JhN$evqsnP@sD{K|5zrzUNS?+#Ma=fVZ|+WmgX%-Rt11aDKUUUAw<;7
zr3`{<0IAAuacCuBOiBWTScj%e9;mE(1ZQpp{01!Px&d6t*a4wJd}8jR6F_bPA#F_B
zYCF990TV<>Mo1udiz^-+=ALj6(@>}B6}+3K$jF0ngS{M#8yax;#sM~ByJ{dYCpnL$
zB@7YAYnT}zPrSC#w0JH;JDIU>N^f{X%j1l;a{Hl!pM!`0mKZOmM8fVoAnneab(S70
z)2Xs_4&})=8<6G0Ka~0|N{X_6{&!Sc00hptDc#4ckaejF1_15;J=&^8H9b;f9|fr}
z;+UthP8rUhZU@c_x1qK4X6&-)rYxGFeHUpX%eDScdOw&GeTvv=%a_!r4CPGe$FK_J
zxqWLK`Ij#@!J1(wefiC8DBV=Dbw!a4G%Q+ZGQ2R=+`28QIks-m(pqG?{@DPii|Sly
z*`OE>c4nApxwDoif}66Tr6;G#4w`DvK^%)!r3JmJES_8hOMcg0sTHi>NFyjj-CP(-
zTe+O&RLC#0iBIWT)+5LqBsGFUkksoN@I>R<B@GlfI=hvZX(KSgrO*W-G#JtTn09`t
zn>eo?r$3-MDNJ(wfOOR8jdj|gH%egx+lm?>jY+wqpppfv+F1o9&Ox+8(rQ^zMEaqM
zpnx-&R5$@eao?X5<>eqGg*&vC%@DB<k=DH#c7!TW`~^Y~v{UK-*{m~KbObFfYs%V+
z&uJ}3lRHC;AG%ULr>8K%ZTp-)OjsJv=k!4yf2hyt$-SfboJ1^87Rr<HWCgyY2K|iS
z>RGH9_#5JQn$1=6yeeXzD6FL#tvJ0Zd7!MYY9<uC!)~fs<5mMha6pg@Ng|6%)Tkrm
zsTDdL-$U_B^rS;OksPU%je~f$FtV!rs0#bEN*e`LVUSiWY>lnSXE2Iu@#T0rKdP8J
zbxn^TIV3k%E>_43Rh~SR!LFtNp34n{OTlQYQQ5SdH$T@dIry^3WTXJ5M%Rhh47S?b
zr=C8w;Q8kuA(Z4H!2~Hpstk-QuKQ%!!(j$%6<c6jRl!rL((~X8#|{~TB_gXNV6b?L
zaLJa#Kr=6eK^ZP8tHUS{Nvxi%(N6_W@lj(_NCaL%A=Ic02cs>IBZ?U-1A;eNZ#xm<
z!bm_P>XRbM1PS2%R`6bQi^nxRP0tZYiU+y3ieehGP_B?YM^Rqc8<MSf-g69np%p=j
z-ZFqIPgE-83?fEr&?*F5-_XF#F=WD<t7{zRLe;2He^FPuD4G)2@&Y&9t4vMdBBmDf
zCkCB<eD3bIzWE6QA1B}Z#B@!#FJ`DN+(~%F>|bWUWn0<qz5cZJ*6zw8e^(YUk0^1q
zD~onz5roHvJ6u;l7HLhD?cdK1(&EP3=lIkpx}4tU_!w#r+~*K_U1puq@qwA)`y53R
zY|QY7vOW04ydihtJiMV~SuHJ{#yf+@nhjLB?Jk3uu^zAu#SUI9{}gntqa$>PvuJ5W
zbLb1v;i9`){Ge#??AKYbpk@UW9iIJq1Z$}HRWlx?gC1;Lwy<cDnuuLiy>}rG^B8R>
zL?i)hKBoh)Bm8RDjQg<aN@H;r-gmMVS2+g!lGCO@b10FXH~~TSej8IS>&k32VgrNr
zK*W|zm!cKm5g;oQ+XziWmjiLFAjD<^wgxCJUi8F}WxoEsgx}0XgTqnu8%ELBiMVpU
z{GwZYLcJ2@E!azV$@*bZ|FcpTBRL3ZToA!c>FJ$#+ZjYV)Zb9dz=5g>Od;ohEXkl@
z{CsCy__=yE|K8}=P}mOT>0JRgp;({<-M?KK=wKZeHdu}>Efu&<fpsufT7qo<HAT|g
z8eMIOw=!hFR>uActO-?Ag6UN|2b24+gn7Y%17OO8kcLSWm0)_~wqW|Bm%NPA3vc?;
zpUVK=F0R-cxv~+>uNT>!ad7>?m2z;M1HEqB!F861emn=)JdZ!r!R2TN7s7)atl0^U
zvGFRMccWWTg`K+eKzZtg$tr3^<cn!=GZ~L87l~ob*dLH@r{wprhRR!zZ<`ac!<v(0
zp#ZOvgu@!L%OO9g5?7Uiqi=|dujm+?CM*neiB;4zNs}iB;<PMK7GS|)RpD9bs`RVu
zL#i<Ry2{4holRUji<xhSwi!-?CN37eJc~Iu4<Av?*O4=T`)08)JAI5XUs*bU7PFa&
zLyq}6G$raSo7$|Q-U<L4!81ho5PldqxOnsEROUR&IfK}%(<T)bejt3v+N0QC(w}o5
zY4~*7+<5#6_;&J+AnEvlZcX3_C)O#vaWTD;Ly1Ob23$OGadGbCi4!L-9*3KcN6C44
z>4DL*k;|Zku%w7PvAoF2yjlV--JNh;iNf1Y?d;#}+LN^_bj0zEU7=HSDenp$<xbxf
zIy)qLAau0m%yz0bNG}`DW#x>booScVqo_U5WhFGVq5}N$a#`VwWbVYuDh}TxsSc+Q
zP=WU9#7P!!UpnVctCt7_5TTl<X}#0|3~(>0b1%6b=!hDxs2xOlS~?2g=Qh438TUDQ
z$5ZaJ^pSHQZEB_K$eZu(xViHED`l>{fC+BfT=`wX(s<^|7kK=k=E^jjs3RV}=&rGX
z&lE+cEZTe;<US&>nZ?DEv&J2@6BlR2mpkyKilRF&UYwP2*wLv)oV4(0e-*pk{I%l+
zIDm1H&V>v**O4D^=gxPWr86k3(urtoc_@W6?4jp7cCj@Qwluf%0`aXuoG{)3@h7A3
zgI*xMg4zQY2*DdKjs@aB3ZZ`-R#z1^Q&j}qW!b8(C9484U%6<!O@sR=d~TEAzS_As
zL~@`6yAIiMaw)3)@ozp#d4bB0ls|E+%``E%Kc%-f<^DH)j4b*oEbu>d3l0nX$(Ww1
zVmI?wQ_3oRn)Cvl_NDC&<&MFw3U+QBAGw5#Rpg8k`$*VN$sIMpS-E8kr|s$J%1jPt
z*uqJ2I6O{Kn!vIQ7~*xhX51gFQkJ7x$_&I?ML5}xV=zcywI;WU))X*u4-4T)mgk`*
zr5(bK4ssu<utKrV!(vTOAlD!5LMcTf2d9#|bb^L<gz`YEv6b?$i=Yh=l#%!i@cw~d
zucMEVNnFMi&mTZ0IZf+3L*s`*<5%X4YaLVEwth29cp6W?InLt`)o<Q}-I80e9lJ5{
zhdX(^b&wiEQhQc$Q^<a(Q@3YKh;$I@?CO?}uEKrEQS@|lRrr`TRb%L!ZH9_L%pO+q
zO4oWVZ~7c33OhLs{Z4+rBlrEz>7u?zUc-iH5{;(ktwU5E${eZ)G?`0n)MLI|LX}+Y
zF6`0|mOypPd6$0TwGmmZ<RrO&khC062Y%-$GE?ioCsBK#4lLy7mUZBw4mECEPqCNz
zX{=HiBxz2=)JI;b>l9P{D0do$V!M^zs?{L09H`g~IT}M+<|f+n`YdC^(~r3ypm#Ur
zzMnouRu4!6Uezr~1D>BD)pd+~GUa}1MHTpsQUxx0m?*`j<(o~<qQGVP%&WkpI(7pD
z>aQ6c%Oq=pLa)LgS+<pg#_4a75VI8Agq;~yIyqK~Qd1eLrZmlSIyN+LPSk*CY4(4u
z;kY*9my*y&a8oWzsXFc4NqjybZBiD^n(+>bpvv-ug~)n}tfVw<b`qNAz_yi$hNnaB
z>cq4-iH_tHK4}mI#AwBM7j5efns17>OkI9f@WZca>fXZPocTLRT~>^-GyHJZ6;qeL
zgeh)YUH&5BX*_lLw|V@b>hg~v0i@tm2~%imwpTkVl&$a~!O1h)XQ!&wkSJp2@oCLe
z4KP*XeF+#E?(3-LL=7QB+SpmX4+(EAvBNEb`g8wIcah@2^c!X~YP79OjyOlM)#h6n
zk1`97-apBShLjV7no$xNiNPY~X7ZXfQuGQ$o+@E`JATeg!G)f`9XIDL6$~TNmo*h=
z`ONOyZw``N<EgG+A4Ps?)%69`9;mtsS(Yh`BZj1_rGg~r_^Ee_z0A)SG^q5~-+?f0
zgmPnZZ+V$LZt(e$dO@m+(vQIW&_A?RgrkEiLL({YAdyJP9Z~LZ_!G5YHIRM~$!c(3
zvCUpXBxuob<dn;fM!N*%2c5y?h>bu>jE5xY@EPhvo-cMVH3ho=Oe8bq{v&;itT8Kx
z+QU1qAzZj(8p6SSJD?#<pp!8*gnc~zPz~X)wxJ<t<4h|J1vx4xzQGiK$~dW(QC&GR
z?sO5h@@kqhN-78Vq|pizKW+qJLoy7)ze1;FO=E$)2UblOg0tAqADRwMXh@4huFag;
zpVLG7d{lytYSh+2rFac0k$U!$UHErju26F|eZ4GRu9l{}p1*#OoEdLDf88k3Mz80G
zQG4KeE+o&3V?AGie9s_BwU?(VWkSx`bWE!5dLiF5)r#=hY~oNl%BkD+{-e&cvaVde
zPWJ-gf66^iA0sc0<W4%LTd+IneWb*U<4!8|vszGwF1#K~#Y5R~J33eo?+_=!SE`Ua
zpH_6N(AFk7XolT{lDhzf){$9k(>j!NP((!0L3CEAuxwZ+^876$ksWd)XG#5J=3o(3
zg@h`|#4ls@S?EJ^vJg<sY7}5cmfzJtU%J9q)mX4^J%iS(n(<CLZO0Hv@O^oGOIsYz
zJ577{%8EwMIGQihFlay0F23--ptCY=H^W!P0fFFvuBPX$IFLR->Y*ZGa6lFdKyTun
z4keys2PIwIfOvKs!^D<4<$k78k*5*hN--ePLGvRhGDRP$pl4k%;SO;z0o~_AeQ{<;
z3?i~^K4uA>1i=C1R*gCMK)O_;09~Uam2wldKsjHc;we3xzWWGOMG6w37cDK(8CPT=
zDgT5wgwk_1I2)&^rBie^a`gq}Qc}pzzhtnLZOpusfCiyHUZU~hLCLYQW<FKwa?>D8
zS7yy5IKV77rLWn9&~jMbwAv{1Dw3=ULpqc%&W2+Z=M&qS*T5s7n`8fQfsGW1lbTgZ
z@O|ORz*jyFdZU1<#LWu2YYDo-vl5hF+c_xR&r@H5hRaaC0y$Jw{@=WCQE*;A;Asic
zzt|R}SJkraQv4V|lbJ?XzC96H*Hv`#{0B?x$qr~#PhBy0!;gToZEr~YJ0X6&4T*o@
z@rSw_KFRSr6!XXnWj@3melFS|KvD#x(9;T<(8+AmyM!~Aw4@4SoYaX8kChEMT!@2Y
z?GAN=KKP6nex9V?otlIDau(+>_>5;E7k=k>{f^@o@%WD1<KojfBzZy<4r>5BCAmxs
zt%sEX&L@T$bT;rOV06w@zgZ{HZIRajmkMUR)P&kWmyXhr0zi95zMJ)MP`YZVlqg6V
ztf>@sglN_}f(g@>{fv`+UuNp(F|wX`%yGH{o;fIr(L8#vH|9#OY+WQ3!!ao9|1OQv
z36(NY?9!;*;kyzSPK-{Y+E!xC=-B=NQhz+>&tY^mRQ7A<&woMO4|M*Bb)dMwj&N8@
znQhzK%qjLV|G9$yB3*uu49t!!+MkgL_oaM8^fiL85q`}Hd`NDy)wgP6XGYkKYh0rl
z1}n(_&+C)A)m8{%<Raqhc$NMCe>a|{3HL5~iBs-d=woCLlG<MRt)16*eg|(LqlHxZ
zzN!l6Iq%z1fkd_3M4LO`*u%An^X<qyUze-Lk+EFm;tX+%0&(xz65`19c3!t&*V|W!
z<i=4HOZ|McK)M(H6b_8iSwkXGIX~%{nk~8A@RZak;jB<MQx?LhiXJvfr%5}V6fT9$
z7O{t^P^i6M#pK1%mpGz>F1^6UjSMV{N|2yWdG7=m$G}NOTv`!2&4j!|6q}W>6VdW7
zIbq<_ed9XL3qBfTsZQV|(F{v&I}_eOiz*_D41EaoP}#5RTz?n>J{fk-plz0fwhJF0
zT}UmxeYxCPKyJz3N9ZP{GxPb$(;qA*WKZmR6j@}~yOT)1&|5%KFlh_zzSfu7Yt7_I
zDC9{`ONXsEGQUQGSP6u@BQyQ*J-HOdW$rKfGX<$B5wT<5Ol8Ku2q4L@{iMM52gkzp
zAC|Da1Je5&klt73n9ip$#ciAUpCmkuXXZc0;}13SKZW&bt5z|a;8|oM?9j1H4mQ;b
z-3YUo`9ZUTHh@L3HgiuJZ&Y>eAj7_8Tdfs!wUSz3imWA1`yeC%vfaq++$(J2it+OH
z>*z*=P=_w;z9r9k5x*rZ-`Ldqy+NEmo~ifcQTSh*dY?t@fu^321(|w3V%(lu*tTct
z6?>Wgc0pfG@7%hn_d2z*jn!7aEB9{*xl`_6)5n%gu<!2tTJ(KjCVNMzFo6bHU`L7)
za&rTW?VL>vu*$uG-|}$(Zs04t=8H0P{Y;?ir&~f78D2luE!gn-L4g1+ycY`)_FZig
zheK9PZv{qzI>o|Ut~kJrO9$m?YrbuzsN8dC0k()8T-==*3^{kTxXFcrGld#P@dz@e
zq-J1bgv1BNY7nl7KBRR^^$E>XyJ(5Y1K$NGR0KrVL_jH=;%1NURiqO;1EL|Q@4R7E
zFsB}n!5YAWF!SgXP#ofjPH~3PKTK!Qv7engdPCRKAox_JHC7hPE}miX=FHX|$8*Lh
zhYzq|IY=K{7A*fnf<>{+m@W#{TnO&@9~K2mp1rdi7Zq$<C^@iMa*KK5-<+7bjTk{6
z39MGDkHKH}y(gcKs*Ybpf`zb3l=}9Z1L-y@P`X=aR5{55wIG)Rwcx!EYEimB>l%Sg
zk|Jj&^FWmM2C)dDo0iqL-<96rH=`b$2bYom2J>rMjTSD`dYZNmuS$=!5@g~=psK9D
zkRDPch#|N73+V(RlE~)~_0wzHK@0v5FRH;qLAR!~aTEP{(@U%<yGGMlNGD}xiXcS$
zNlX@@R|qM`kAq^E2KrvX&x-t+gdTn!j)PXCX|`7ADTdnzxWcu5dR-?7Vn2wj+`}_h
zrH3hq3U|CVF4HN!K1z;|tEPvLk}mmMB6Rs0QG&ZjxuiiNq#<*l(}=PGT`z_?VDfSw
zi0?G*pSe1%z+V$L<j;NSwbo?^xWX;ANtBiDYg^4^8O@KZnjxLmLk$Z2Ldj%|e2o@O
zs{eF)goQFrBeig9(O>STlS$mEzO@=T_&!y9*x(4^h7I9{i&TMU0u@&srbp!+(pfM2
zxR-u<bLmN`3->(OF+C#sUEg}D_@LA{Jw|iDojs8a6nU6aKRxW3{&Ir2HekGs-&b3H
zKfNA#<%6(|15`cG2Zn((1|If<xjL98Fygea4`_9q%YA!)dIXmn1&ypIz1jg$9j4o^
z8=CNdST2Ak+X@jVM;#vJ5@6Sl==Ensy~s-1LF00lNa`4(rh>@gn{`x6rjl0Nxa34m
z%p`iWAy1cLA`;32iXp&2hcFq69c1qzIz23_iEC{77yIc=oaWQ<;guvepE_@bSAH-w
zSM^Vj=(WUEpd5c0gy=b4C+<JE=es}LmmcX^J>(!o$`{~F&?1#k_Lc^*M{3w{+>7Sw
z_0`qYT5k=9F#K8&F5_CLOLf$Y>izUaYQdnOMI**#PjruOKb=5%^%qXO379<+c3P!j
zs3aR^N(~bS0T|t};tmgE$6XIYOvYvtT-1*3{+WsNX3%68x0y@!)ZjO82^A>hne<q+
z=EvschV3ld9{vaY?)3s9{X-FMXpeDB4}1-2lwQxj#m@%0YH@UrP<yjZc`En~uaZ%S
z)+<R5LmYun!ac-Dvnu4kGoYTJMMrlt!EhakiYRFo>m9RjKXe<sx`wfA%Zkz4jV&Yw
zTWMHb+<M$VzC8FwNisa0UW2u>k3;9_gb)$nNst#MTBeH>8nFqB8X^Y}UyFf2E-@q}
zNTF?YqW%*QVueyl8_UJ$t)qYJC$?yF`2i{v-)HQ*?YrDMF)yzRN+AxblpCnH%Jkg_
z5w(zts~M}T8LDd>Y0c41`|b~s*a!lh3PoBcne)kw>Fm=iq>VhyuG`=od^MjELqF)d
zXK9N~2PNx(W%nEu-&AgwsOnMQ{Sg%l9X?ljJIye^2q)<zVS&|Gpb&U?n$fVplU(2_
zEHJza48a1Ax4_*mxYXT3Voy`UyX-sNkK?!9aX*0%zCzReBz>dHLfq%+8zlyCKSkf@
zoR#}&`bL{{?q}#5*>LV>=^LpQNqRU>^!&ySBYhG}2x2c$Lb6TO6Qq$Z5%oYYV3KYV
z>FEkpZzvV&+LMK9lWJ7%|GGl|Sf;|5*2NpkeaR<4HzY3~RG}s2AmZBO{T^6-58O)!
zSWx~faR1T%!;l>aNrp56<x()S7*Gq~Lh(Ue%xrQ{DIQ+1OdL{a(;6YgDXBC`v-ZEO
C<D&Ke

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/popmon_dp_loader_example.doctree b/docs/0.10.3/doctrees/popmon_dp_loader_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..ebdcb9546588df2a00f34c22198006194dfc1e78
GIT binary patch
literal 27533
zcmeHQX^b4lbtc7Kk~_SqBcZ*d+ABFbly_!GF^(ldD?}i5Qd|iXEh%A`X3uoZcK7yl
zxBA$_iegE&WXb3thCK>$%RdqXhyz3k5Gyeh<b<Qhh7AM>U?2#5#eb3j`4b~BV8r=e
z9evCWhqJT01}Tw%G~3-(uc}_XyIxg2KmOW_3tRZVbYB!$wzph2Ow;pC7Io8|rr%0B
z%!|99>mGff`&_r0PK3r%<R@W^b<-^<(XwpU44K!xh>v@zd~CZ>T>_X0jL?`5jljwv
zSmWulm!7oQk``Nbq<MbKn!dlF`JVQm9Y2&bwR@~M4x*Ed#=IR{NwePaJB^kR*s<aI
z9&3b2({A}*BMupBbPU^TC>T*A@Pm%;>1Lq2zG1RZXUj$>a9Q1Jy0*7)?<Ku!?Lbeh
z2@Hg_89I)EsKHs|)?WIIuVd%gGL1T&9MskBOI?l?jA?MWbUP41c(e|t6MBYKYg@Wq
zB6BVsLl0SZE@>KR#fan3ZYD7%fsnq<HX|T7-O+N5D8ftpJ?<GD@z+i>3G#=g(OSUJ
zc$qPJeWfv^+fh6T?QZ&Wn}+yqlJ1C&dEOmszcp#?PMW~-_SgvLSx#NR<1cLH^z+HL
zG@#U)0tzP=L54LV!<r(Yn(x&F*>w%;c96nPsdB5yH7i#|xjRr!A<}9j)-mgNTFFSv
z?4H>wM$NM36?jWlr#cnuNP401(TIgnV<GaG(QLGi>p|!{tQAL%$DYtb7Wh%)v=JMR
zhko03S=azMMGZklS7Ly!b?ccM(2;G{VQU+vU`x8kvga)q|HZE1%@<i=J7)!jtlr*&
zT&a9I=7A?cjcuPq!mH^%qGDjv3Rz_NuG#(c&L4??AEyC6q#C!5SP!BzTR9!<0E?Hz
z3^?%$%}*?M+>=pYkQ~|>pfMIMvMx38R8JGzMH3M)X#3u(5t1wzkL}nk%7OF<VOYoz
zZ3$vXdz?!a?Hte_#*rYTTdr6vlMhx0y;>lwTSw-sTZzjD5`vB5ZBd-#X##_IT8Q8)
z;>K!PErp08jD3KyOTkE=I8Wl&WF23_Z|rL=f02cta;7DbG0!x=tqE}|5I`Ty94YP4
z@9@I(4g|_cQK4m1VCT5}B#`ss@VEq1aU9;Ha9YBHmg9kA0Jy+N+rI1iOSU&3om7Lm
za>2ZZpG8xjS$hv}DfDn6-Q(IZ3k_Fqx_)b+K)6p&Zr!q_rak0Chhp};2&C%D$*R<}
zQ+@~9#*Uy-F^7EKRv>xp)~fj{&K-e5*@}jL0O*-UXcj9Z5i`-27SN{%%?OT|jwHEA
zO^YXBO>05|6lzm>;wVKZs3pr&^~+TFs3JoeLeSCCtELT{tZ*S1##%e^I8SR;NvI?o
z!JS9tlwHRY$HxFX<rKRer1$wjQb|db-<90-z5=bTS2BGN9Lbbq5|Y1aIqF4vv!wKg
zC8Z0>Q+#=uuldm4LQlUmJTsE$eX}5XKU5MI$Ikb1oVMa8TFdZ2$c%FvDKjvM)?^SN
znfO?H#e4+spi6HLKLRE2YHB1H!6;Ky#KMUZ7JlN=rN9nO^vIq|m&BY*q&uYODhMs>
z+uWYGCB3mv&D@a2>`z+X8-A?cMe%PAqFZTJaSd?S1|sC%5<+GlAbn`Tp_tK@7$*n2
zL&Attgljk92Zc6+zr&abK?-vTU!(%AD^gx3l#F1UZBP)_q_dTNhPF8r*__%yEIkY?
z!PkPn7Q<6xVUZxXg;#|QI_7)s%BnBc>zM!;yP#dn7)d;2V<m!drZCW6B7o0@ISFDI
z@-X6+m7VS+yETD<qiok)uuVF*62f3D^uj7Z7-P#ph}u@%amnIz4hw9*k9Q*7={1ET
z-A#9&f**Zf$c#Ds4jSMal34txBL9k3qDmaDoD}+aC8`HTY}KLbSr}K3&1lp0`t(u$
zQC2AFas!rKP+`k07R1`aoDlC1Lq8PYE?+}_5jtK2l)zLSk}6ia4KDjLhN9SOuj6IH
zxvwALRBSIuVjUj4ae3m|X$LE@<$EW(MFP5a7y?p+>D-RehycWhRD|7EiInc4`jd_z
zrLwPBO?P-r-ZOZbh-Vm4++{_=r20R}>lgJGT#a=L|DR8qd0)6XuEl;$s^gke$GN|J
zv(?Ws1u6@kt_dMibWTXi4ln@@m5o}mC53mExncuKWK-@e3-m71&(Lxa27wc0HMk<V
zG#XNS!L$J;_sIU@0XvLhu0JeeQP>iGXwTc80qdTd-I+;ECi9YIw=8YR4;Lb?PojXe
z>^97N^2M}xC16oqI4#gK^S&>%jxAjRV32BcjF|kt1<zmdG{a(s$(;tf!!*R7=#$GL
zGSU$va(OcyKZGYJJ&Klra8#zhuHg~nH1ey0Mt&um@nQURr8^f2w6ZZY@=Vfn4xukf
z8A|imIkM{AS`_9VqIR#6b82{bIc4eGiH}7|_XqSmoT_wAQfs-Q{5^VXI<xpGk18L*
z)6^G}sSt!t+D$Ngl@#HO7K1`{+cVknQK8gs(;h|07k(n=k#>m4r&c`$vz&|z4WiuC
zTG1jX+2aIFFA(nV0}2WenYS$11<aH>wM~KPLL*dS4v{X=7Wv3<NU2lWEOca@py>cF
zI|uhWV)U6svlsH7UKGHY8x`Q>p8@K8m<SJia0>!X$l@e~LoPZZHS%@D4Vs$1h|5@?
zo05OWiL)G?a~{RZ%W+29-xBz1RJkI5WR}1mp>$tMK=4YgeJKuGbuOZ~^NaZ3Wek8G
zMKhue&;#Yn3q^JH^f;QI!zxKxVG&QLD9?AE{|(ro8Rtr6gjkioBs5krHbvY`S`8s9
z({A&nnV46WS}KzI4vZKj0a#b6q$P`a+{xnHm}@lRU(#x2rIss1+lv{*he>g-Cet7&
zVEl%Nfl?rvR-<_5vd(8QF$j}#C`@U;>j;rXN<H`Ho&N%nKqdYM{S0kzDP{WdhAY!_
zQ<UkB8`i5##{l7q!b13+y~=beZ+x&a{U*wgGR3-R&W>DHWy<q3QMv&)HPm=$pUNpd
z<^<1uO$h*+$_(mMMF6SrkGE-$%XI+3Az&=#MG34$03wcc4TQwF4GHLs6raWxnI|iA
zM)nd!vKI|EL8yc++fmFvs*dPFT}PsQ)!JiRheuT*+<VK`BNkVmoxY=PM>_M2rpwIf
zliC9Yl<<rOZ}wc`K^T$c4Y?EHI|(6*r>nLo<}Js?J432@^*=PA232l}RQhwJu9bUV
zl{lSI4bH08)M$??^dgFaC7KwrYK5C74b`GB_Qk|SSUJYB1&KAI6(?{VP|D!QCYOK@
zfuc{aoo2A+<5EnYd06ESF(;}sG!_F3?{3oZB1t1OW;hSBcXj!D0dOv=hdLH>tJ73h
zr?#e#YO}K%J@d()&W$I6CCAO1x`3uG0xvM7VxJpM)ZtQZcoB&TY55c(DD&q!sb42`
z$dz|Bsh15_t)KQ8!C*Z+j1I~S)(MpEYp@D^bafc4zh8=56(U46zg;^GF{NTidF<*C
zR&NTcrzFerLIdJg6cHK_ziNme8MlbV^7`QQQWalabG?i<obxoFlg>H%8QS!sSl44&
z4Ib<I!iaH<9x#7WbRN=K<v9Q&(6uI_PlRU8;Mxi*TPQQK!I9g+^UdI*V`|`oQyLXz
zY2C73C^@bc1g`9C<ZFrfe6fJDjltDhn_{NEjM1$x=JN@{&uB59=Xv7;&D8Y2<?_S)
z$Lv5YJ46;G6jsFQgB~X_BBDr%AigAffoJ6){31z&8xz&3Hcx2MP39U{IYC^eKL4?)
zqZOXWL%{1WM?IM|P=<+xm9PoB1xp`ogqMWH!t3!W)AhzG*wd)9l-2Q*I5%@d=V3<$
zD-@IUn@*LW&Hy&bsWgT6-ncWy;}MtF`_bhH3hcLsq0UT!y@Jwx6_}vZH7l^PxEnR%
zQigKoos!Ue-~n0+KmY<O%sik8(_KX=M3R=^2RH}_gu)FFtIr}UhC2j&X+TNOjRKd=
zrt>z<z@+nK`Waf~C~yDk8!krwWmClHcQLy4iP3Knenu0c|Hd01EJnX^n|7MDjl_*9
z;w==ZBn)YER49fH@j2B;oK00q5$UPZ_np6g3Yn~w%s^6$Rz^)b6t$&T7O%^qQOA0b
zJ5_<lNRc>SE?{$?KB}$)Cw)v5>lh0R@cWffg!}FtV8%*ZF#fO~rHvpMe=rQaWrFd0
zD4h$&^Z-K+#Y&CRdZU`rMn)oXnF~wRf+DXDary6?!ti%&TQ9>;1Hy<5e>-n{Aj3cX
zmx!(wmZRhzh|F_Yy<%2T{ES+{yCGXjtRvO&+nZ@w<xwLp7YqdDW^)NKlYd#V&Dffq
zI=(bjc<Hy>Fy?2c?mTw<!?j}{sU5phe#OE855LP?&RG$V<In;K4n0h;OgH=N)EzoK
zPMy>)97op6M`pAd{dfG>#ph-!hz8xJJwZ$5QoPCh&sC$Npb{BiRV9WT-}Y7up&4yT
z3N(Qf*|$0+`b-@?THz|SI(1HDRq`jS9~kk;DFpANfEx+26l~Wg@|vH>vH(BTPjZYP
zz<+ia`H>0m8I;ZictKPPS#ouV>K~LW+s0Eo-Ni#7fLpW?t=@|qNwMod#l$tinaUDa
zbG>YS9G7r9={WSWW?S|DHriG_JBFPwn~>-6DGYCY#_A^tL8BR~FYv|(>#qNV?vinQ
zk+VTdORH9?Am<-sNFT*Y0`wG|AD&t(b`F?9VU1ade!$2STM_)bNV{c29A3Lo)I@QT
z+94@$xiLEK%J7w@yFTrs8a3DEv}bacJ2s#1CzVFfi@!6BY|8ZFt0>)9FA6zzRp`aD
zhoA@Yo}`8Ne~qsj)T9fKCoJ>UXrEQByhx#Tt;)Ti!!J1u%+IA&fC1|p`|lSUts|bl
z12LmC^y&{8DLDU3(>Lk-6a5UWf@y`~>sbw2p*VXh?IO+dXx|WP3r{hzwm{o*A|Lhy
zj~QqC7Ll8WMFuzpyvtb_O^HVemx-kyk%+4jUP-ISG$mC>RpFTCjY!o45V3{)TDc1^
z+f}F1>jTs@T9!&6O0T_+=X3cTF_+)UW@Zg5C}%%_&C%JUVlGG6tdvzJTLm;RUFM^V
z3~A+$=BTi}d%t9<oOTCsf}pkmtZ?jfLCbQQ$l&+i>Zn*{?G<zMkBxCwx`BSy#7aNP
zCXA!4Myxan`g`D<D6?eeJaU1S84iaaZbAwlC?6R??#hf7VbKR6?Uv>HU{oycDRw!L
zZxQ7?>3CEdJm+a)BI4fC44fC1A?5M%f*C*km|M+f<Nabb4y|c6WE}kLUBnCuof|V7
z_hL3S!MXSujBkC;#R<aDXwJnk-uOW0B7O6Uk#Mcru{~QuT2%!4L5N2M#_N<^l^M$o
z(iRba)j&+W9O<S7#tn;_Q+KA6M7U=ApRocr_a5s<CnK19j}AjEnYnitO7}JQ1m)yL
z){rUHiY0}D8FhiL4CU-2o5PvE)DPop+TO7;46gfUq%QKt2Xp3^ka&qzO6-}<mZ*yS
zrg457mK$**k&c~sY$fnxy<>#S`aJXdaV47InTSKKXZ3}fG3T{Bgff4=){k07;Lpzv
zLo*qF{xVAU<xfFBR|kJSxjFp#xBW1_CjR`ZVQ}4_Ki}ew59ZI;GyZhw91*^waCKhz
z&|FGDa8?&~Fw<XCm7X<bV*UEvLvkg7$(Zn}?`N6Q{<Yt{kHBf)7-se}PWyY5?#pR{
z60QzTYn45QN067#mjd|VH^Q*zJ~<L!;6%{AKAww!r2P;lJNe-XUoXH}9AVEQQsxe9
zB*<)9ow0G@dC||%o|m%qt&O+!z0HwWw_<$jv-KwlL!;UHhj`<IC6>RDnI@IungQ0v
z<)et}h&?aLM*p$5n~@&3t?%kLFC$2l4-YdtnMC;jO81p0Vy3PRiLwGt$a|8m3a_Y8
zYINmT>an76I#f(&U<ipvSq6lV4#*UPJQrP2Tc0l(Jvc7SA(k}hXJ}DG@znXO1`h&#
zoJ8>`L7*NuFO^05uVIl_#%d^kkssBConjPC&3AkvTO^Ca<vHL*^o#69aU6mO3`rOT
ze?1Gu%1A6vh~#-Oky<>IJ@G?@+N-sD`TTxD%<l`?Y^^26`e{-%YJxUqem_&5-xtrz
zBLY_i#N{l|Az2Y)9om48kY9wnY8+tEWbqP1RFCF3+v`gcwu)AG9yUeY5m0T#8cz~v
zVap;vmd?ddkeRB#8oH9t+i!|_`}L9L?X``cx8K6NZ9+Kk&oI9AnFxPM7#ht)_+#Gq
zU=!hg-iuiTO1!-{2cIz^H<rHEk3vT<mcB9!oo2?;n<(AaSQ0dwn<zsDB9#zdUm&s!
z<?I*Avi#2<&W{Na(mT>{9u{rQwy|$m9eD_8&Yd)+%}Hz*R!uudj^y80`D*g4B5|ZB
ziFBS#iDJ^zV^|mM(bRl>hfYG(s#GCfq6JzAf9@bgqTbO=16;cU$Vk@tUm~+f=lk?C
zv^}R>%QrS&Z+vlc^v1#M>(v|k0AWPEv70wOSZ{nyW*H;XOcMI4G_z|k2P=KI4J%_D
zF6%$kkE%wH_0?f$E0gs%p>$taFX-&*koA89KF)iRN}sY;@HX@P&<6y?OQ}wWN)J58
z?=1O_1=vSU!>Shwq(<huJS?zwPPl)CEQ}*$|4T=K8~Wv({?)DWGwg*9JcHxW^F~)4
zRj=+?upUfrQipS58)nN*OomgtqV6k5lD4*{ds|6Jw>0S4oeaCx8`}QTolAGZJ&oyj
zjc$4%yXyjRaekH%j%9q3pInlk^l8tf6S<>_2MiJ`$+(jOz;=mdbiiJ~V?{nDp^K+I
zvES0^E(iLG=El*laHX3bZ2NwU9aXIG@yynA4;^ohQ#|x#Ispkgbke<a5J;e7Qt3dW
z2q51t-Y}ORaTMu<WnJAUffi*2dBwzBx?4=W?&6RZw|nM>v|<@<tRBa)Gicccu5h?W
z66J5lP1a22(cIo8BlLhPlt9e3gEtd#2q%pO)qN%1D-PMj1spylRCUvdByQL4szo;b
zo-BXVaXzLW>Nugz#DxdIGj+8Uchh~su)x7C3d%T#(oGNdeCYw<yiAO`SHN9ed$RnY
zr*gWV#t;EfxaA-q$FqyW+U2pbz&Or&O>e-JDCvy|P5YsVjmX$<Y@!*Q01P~A$3ZS_
z3=<f!P2BFl+V*nS+Mez;u)SH&U!^zLCLo(hC(tv(17i6LI=?E!c2EMikG}zSy@;ki
ze-%V5F?}6(C7=}YoN#vpotl@|<W$m%^+h|f5kx0g*xg6R;D9q!FLx-000ZsDU?Q*p
zPLzQt0M*E1e18qUbmSIVEJ7o6QZ34;Lw7LcyKr|*_6QO^KwJgN@#aB@uHCWY?ju{i
z{r&NDZ@>a<zLEE{&~SFsn<fsM)QLS(P2E(ow6s(g=djlOaK2%(#Rf`7jc$4~)!<!0
z4L!y#HW$1{mqoCk_Q7L64b1Kh+pV5v=uO_tq-rMieOzi|v$)Nhp$$Q3Vgd)!gNv~3
zse5K;dKfg>(KGhUy042{Dqc<ZM=Ll5d0EeH+`t*axX}jWzB|IIb*w*=fUhBq(i{1+
zctoCd%Rt10?tD3nLkht{m_EU8z%oZ6YA+-KZr`8_c=%lwQVzTd>hW8)*9HwJ!Elg7
zMU*tl<@U2qlbPVv6|`kB76aPNEy&{qo#B!lSI4bD*k(_c&%BauW8Na&RFm!$A_6=K
z^1?|#d@V*7x4Q5iA3#GO7wp?7QotEhbfHapu=G~kU4z$v*3KU2G8MY^2Jd&!OYwKr
zy2rZP(TRBr3PY$Cp)hKqOHtPeu(cqivuNqCTF@iZi(3<gy3V7t%dv3Shsq0-&Q90)
zDiY(;8Bv@f#5gfp1&l8jFLr)Nb+U9q1+wdy<N@-uLlqi}6s*ezpPi>@kW&2?b#szV
z5I*?%u5>$)b<ZmtA#;4db9`iTy!&&!Lvy_OISy|wv8JfX-PQ@`%YbjSoqwR8H=Vcf
z!_WJ3{*nHoedx|R^cUsYI$xo`D0Rj8D*Z*iW0LME(mJ20JuO_)#Ah0lC*F`qQ{@Cj
z6yFf{@wecOPSbZY_TevY>Uo)!o+v?_P_6Px2TSlV>0wOj@aA4v^2?UA0)gA|6B3Hu
zbQcbya>Y$CP`W!#$@iZFqF?HsgUAp^d*bFLA_&o7CU^DX>s{Gv&K<jyz2W-v#L5+u
ORD+bF<lW(-tN#bLj)j;2

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/profiler.doctree b/docs/0.10.3/doctrees/profiler.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..9a54000ed71262a914daa798e48926ea6db24cb5
GIT binary patch
literal 215496
zcmeFa37i~9bw6(7Q;RQbg8>^{tg*E_?5<X_9gJ)lAHo;%fh8M(u}8Bry*tyIomo%M
zNLs+bP9S`M2|p4<zyt_^T>Lpg_$QEqT-^MU5Qi%vkmMKV_;Dlz2!SLd<oA8A&hF`+
z>F()W$*}$;NSdyCRrP(ZUcGwt>ec-xyzaDPjy;C{>z^L1)ElisbCp`H)vkHL;r_|B
zcD1+cwYrC2dwBYR!}lGY>Tl{)4hHRBr|KQ<AA=IrdZStEc&)>C<Kt;mzT0R9bBe%;
z-AZT4v(@V-^iQ3e6Xlgod$G~<I@=G|PrCbXf1=Xub{Y%4E*hmqj%(Bc5bU2+ZB~K+
zKjQBvv?|N;ZztD!EA}4?mFoVEw<yctFO3>{rRg8;^-t<nmZ<dM`b7WuW~1dDe)h5b
z6IUwebN6ulxc;WH86^I7q8{4~TkZ(FPOxQv(DEt^TdG^B&%Rgf23v03UG8`*?O@B!
zO1E;G8p#$=3AV`ETXgetouGTTw@}~IKPf=fM!RKzte;Rnk;XoSk0*2+-KOV!>YuF1
zGCnAB{2uQR!RUN>*<t1g2+h_-{b}{5)Q_uA-cmpRmfk|8eg<HypLzG;`q}vZ$Kn4U
zkN<z--G_ViC)cM@{32PrenI{GXCIFqUMSgXdsWgu^dF=8BAy4f3mUWR)O_3*+o`M2
z%9YtVb-B~2lNh#5;8SI(Q(39I=(J^z8m%R<N`0!KPofbBuM(`ziJN*sSM&l;bnBk{
z)bT1cuQMY8uT`_ZcH8v#3C*h+QNh=hPNUTo?OvD55t}>RIX&KWZ`Y!E8_>KZJ(|1f
zlg!#psK%%=nx{4!U9VGVmKU1s>V5~&z0ZaUXe`rUg&(wA6N{bpGGnLF5$Y?ke?};Y
z=uAv7^gCE8rY4CQWt!J>)!@M7w75WA-RrhzcY0k2zqm;3YFBF8#kITdoDo;wdHb!P
zQ|a8>^SU$Qrro#RG9yUFCp1IE4%5sOwL;{stu(8>W~J+i-Q7yJ5p)~XU`9Nvh5558
zZuhF~rB;Jx*^KbI)rkq>du5^N@pQ$|c7VOCcjhExr{o{y_6k)BcD!g3j9=+>%Zu&K
za-}=DT}-ZYyl!`O^1f+w3z9KK=*-o6%PRpYhp5kpMym#$vg4BJX(ccluoeufoew8M
zu<seB==z%uEjPCZD-~L(upW5O<_GZC6Tn;i^ost;%}Q&jS6RYuC$6k^>(I^p)9Q_-
zdK3TOEo0rHwTSfP3)Eyf#hFYu8};}rH!fP80wol5JH2YR*YRpI{JRo4aj?;B3P@A0
z(-KR~_ClqJqFRVWB@hQa6sQCf)poPD+!70`LjBDan-hDW(+*Ui;3~`Q9%-t@5S5N6
znwS<|O|)CA-5|4_wphV1jTU?4bl9@H2k3+B>hJLm$A+wMk0!+=D&jh*F0JcBzuAub
z1Sq~VeMe}ieZX1Oo&-H?MW;;MG#WOjw|h-=11b~Br%|mmo2#NhDy6Zw%A!Q7RdiQZ
zJYK4r)M>NEfzfRYVIL`IaV?om`y|Jw>ht~Ei*M+#!DLOS1Gk@cVTK8GI$KH5<%=F{
zH_TyelftMx#T~b1;e^G)_7+x`sK41IJ=|FOS?US6Hs3#X&QhU&M7!t>HM;bQd_JnN
zM1&-vb9J)~Yvy31TNiEcv?H`d43n6dEC<N;@IK+SXjyZ0jWl#10t*n1YSn|)ToVTx
z6^O)vO0!YJQroIQ$q*#hbzlx#;dsi(ww-aOD2xHV-^I87CZj7Ao8&0MY~tT+L(Hb%
zcgc)q)BBlC&ngBTE8YbWjKY#mT%O{H%iS8sy}tl+?E*HZz+c!}f;7X7UR^N%ci+jf
z-(H{{%LGc4Yor&Hp|&|>sBNB}n79D878$;zP8J*3wTP|rqSHPY&;mn0>PD0qq$$o3
z*||C_p{cF&(@aR|QW)-J+C_V&EIzk)s$^0R)o0nu-DIIse|R`pBI)n6yHjiBgiB0z
zE<lws=0ML2rWRIrY^Kti$yi%y!Zz5kr_=Ky08kCgo>&|deQsZ2G1#QRL)(EH{Cb4&
z%glP#KYuaIz^pgx%k|bP>TP2_*6$75ix)U^*Dm@!WiQ&r97bcS4T~;r;cq|?r#f&}
zOwZ6>S5zx45v+JsWfCk;$bU#{fp)ka{+~S!tm?5TqOETrwLKQGBh<RZ^{W8o%jxyH
zUN$eaSX#x|e>B-Zvz1xG@^D4_I^@sLjOu5{_3>1YalH&=j}0*lPg5IR(7MjC4WmDs
z(fP+gG1rBEEd7zmAM<@#oHy;y2$=?VJnK+pc?E_aTp9s70^QC76WGWIPkx&b@SVwx
zwcJTxeE?QJzTc*_u(mCmL0cSbclH~3SR?8dk;h0xPS1ph=KAGe7b62i?CQ4wTDhDR
zYRTl8H$^xqSjc8dn0(ViJsfi3WS4?jl>)Du=)$1#*LyAaVBo^2V7+FK3;CVMUq!wJ
z0TYgW4w&F`aA0tO@f;VS#a&X2b7oLWaXyR<v@^Mh@}g~K46Qu=lOW>bEj~N!)NvH%
zX==AQs5AAKRBDqn)DX4#m^)Um-jjP)>CZsh`Y~V3!2Rt~Ra}-yRbYqhUutTw{=7A$
zKX1CW*CAhjb5;6d*b*_DZt@!6+iR?>V4cO(>rux&(dY(xUk*c2EL6JHx@Q;BB1zie
z-yny7of%9TU%u9q&v9S~Da#)Rxp9=Gbc#zAXBVI0T2Y}p;K3#J$D$#9^ST)CdRyK>
zHmbKz;BTS5z@+{`dX=?uos+!MM@dt<RK%E9Dzq1nIIfX~jd2YpY10jM@QQZC*<q#~
ztJ^)8B;%>u-J$vCXxzuJm_qnwmAD6vp=v&AZ9^Z2n5(4OhUnchZuUA$acXz)gBibn
zuT(qjOlpU;Zqw9Yt-Bb~x_#_&Xundg9Kd8h*k+RzK5lYw(Vjh^J$nGHx?B-cWW3fI
zi|p6K-{4ZfZl}?uBRw3m1`YVSNI5TKbW(E=K@BIq;Dni6X6){22^?SZA&_XVkfGJ?
z7-RS7>Xc={OC$^KGk|8%{B?&FAr|c1QwM+*GWoT?(7}uxg*6<^b(V1?UZYj60v_P-
zf{)>AV!6_Soob*fhL|1lPs$;`D%X(x@R04!;B6o`)?#OOS1hR&C8E6CZPo6xN!mb^
zE8*pczTT!{0pxilt#;BGhTT2Mr`fs1%>r&>TeyjZa1-=3+Jxfh#rUNDx>Y<)|8<+(
zpJ>Nk)}`>`f{sa(*1`>LHN8gwx6GvFrSd^cvGJD5W@z?0OXV4);1gC#{Y{JZh=r0C
zqah3BS!x=Ioody=fr;Lt#C|gv`0tmB>(?_WE?O>s&D7xK@_~@9?&=QdWe^<_-O7Hs
zcB+{TWe!ilBEk%$v%&U#V!`Vk^gKTDU7i!yA~XTJ7+Pm7J?(91Hi#;g1{r$=pWu;c
z+(P;h3F(InKv|Z*A9tVyq-HJXe>Zgui&oP{K^Lp;b82?t+(6*U);aolN(sa^9hKsg
z)v+f(yyG{5#ro<YNY!}y3P=8C^173D?;()hgE_WOGG%(7vN#d+LZ)lwK&8>7b6S{M
zYIZtiE5gm12s-I4u|15q4fy!YZ0%0SK%@XB+6sc!$fhUXAR6Q2e;mpw5ddxaXs3B?
zPF&|YhRI9ZLJVhzjtF#YiBTw1-rUk0jK8k8gi`{kU*J>k1~9<M$fk2M9s(+J<P`<<
zpdXd)gdMdEYC&y`U|)9@C)VA4Gh!biL$~RFkmB065;XRSsoUBsh;x8@2m?YC*Fpn9
zX{+K!#7-TWo}k|L@K>BbqKX`uvPn@MAv4uFqIR?^hC&;TCl1(iWA$&a?Egg6iE|9S
z$@E<-{gV_6Eg=@3uS95!JcH&|AtdwtfBvBo28-Jd+rSHwwExO4X{V}le>njiPDDNo
z@9D{U=ISYNqMXT=9?yu=AC=`~3&AsXMm%c9ou~A#;XQh^qd|11HW{T7>DOfbew`>I
ze=Whj{$+UoPGE(mdv+YOn<c?mU7Ej7Hx#BP&1%>$j%Exl){NJuu&y6Vd#PWCn%WL_
zm(qSfTHG#T+E%T$Tir?nD-QW4_*A>np_q?KS1dO=oi>&%S`+nJC^xus6VIwt>oP)w
zSIau$p2(x$KG<^FFy`+OY1^>Hzm23s__t&d77Zv(FbB|0{YNkKnoX};rYKM+Ko0V#
z?iy^OFJ;7mFFT+6SCvXPwz^xcqqV<O60_pgmW4IwEp$5-+<aiLIh01QaZT8>Yh!Lg
zP6Hd|@XRp@GCjH*aUzy~gvPm@JvBsIPryxP0Fi09oCR5bzhuV}{@`_dTXryP`~5t%
z!BT47jUPxiyWWDDRqpptJH@ZaA>Lyep$#c+jra@rMaP)+pHnLBhBvUa#PUG%lMJ!e
z5;<`Zs0{ZZPR}u;*mFoiwS8h@R@|lL;#Mj>qi5ze`WG&sunbxu*_yctNy2Zs9i6aL
zv@Dz`du|!Q`uMOJaEcA47KGQJ5(~m+2tpbZY@_|uRlqoECp*jEikf}yp?^32(9Dz5
zJ<QMZMzY36Cj0NB-hf*$WQW(YdW@?G|JNhq7%GZ&t;gPmalDtuF|@oE-FJ^D+CNdM
z!NdJyXDNi=e*yJMUWuWmBxFNpm2S$;5-BucP~TlD?Skm@6uFv1?<rvNVlzeL)(HM}
znk%%OA(h!{H4qxfdn<T(+KUq&tyg*xqpcE^3hLNTA%>SD7ejMPYz>n@*q2+@%sR0x
zTyAgz*4L~1ar5?M-MF5$#}kxx`tY3nt1RNA=j<0)JRrOKFlX14Ew;Do&=v%jMwVSm
zyd5<^$C!-N5?5<2F`ke)s^ojrWvNOEAa3;y(-r=IM-UmRKa9TlB_Q%2jL6XPS_yn-
zL{a}wP{98bl?p2xYDXepfU^1ZQfViwU{*G}+c-ZpHgN-bgb$StR5}zfy5Cz>%QPSV
zsar=CR!|ch(cM9yC{}J#H1N6LzDa_H0i{`~f{d2IPmURl`*&J%8FgbT-7O8nDJu{C
zyVrCS35rJIW)uzm(@tGhG*3M)JhO(&g|ZR_DzR~J2NX^5EU{heuTcXKPZ~pZmGaA|
zc^;2`q)OR6s8Xzej3ZT!P~Bd98(LV_g0$6Q*Ae={-x*=TQ0X&T?Egc}tC$Hx%WEyR
zV?@zJEk^A~X6Mpk$(6Xp{;{Q~jYc~eXIpD`3>V%Cjnz5W2yolwU>yfut+uO+M7vt;
zsiXo}{!^B=+*p>}*q@6V?+SH#<g~cDRJyvgD)!KIzFXSvNu;tS<#tP&lG3w*`^deP
z^nlkU2lw3A#E(ZYPI;a?gs7e(=Oi?1^%twymu7)g+j94_(1MxMY|F)g^6>p{GO#>+
z|C`-wdKV^Ea*-rQB(;-W4Za68U(7vBH3L^oBWlZ?TuV+ypJ<0o3TiTTZj`R^n(c#h
z^2FN*a}C*<Aj+?1TwhtL*je&U8inxRVFr_8J8g8<d&Au~=e2u3e)2KLyl6t;zs>S`
zbeZlw2b;GG`73|n$QyF%;pe*`3s^qjSeW5zTmTnC+jMS}^c`_$xJwa~5pQ2Z8Jv7M
zmF0cwa+PjY4}8RJxFKKQV=TAedMhL1tkFj0MRKJ%w5fVyL>aj;EK|`WGDv;W#7SNk
zISmr~Q*9&QS)Q<!VcB&WhtMDL(A>rU!#%s(1&y5Q=}Ib7uPh_?G+DAkB{zWQ-FGuL
z?vrEROwoLXlXp3+RABRUyzT5QvRvd!!`RFPaJcF<(FZv!76duW$X`Q41$0YoJ`AOr
zaU#_2;QTS^qrHod5_U8!dx)gNj}gYpFBM`z+?SxYobYAYt0a>1YK`QNNZkXHF0W@K
zERyk|e>l*{jxyzPWg$Qk0ti{nLr^6h)h2Y3_8S%4#ZLGfbZelH@KK&G;bRy^?nigl
z03BbOOW}BcvO1uH2dD=x+FV=2AE7x-<zoNaydw8Cn!J)%x9nzQWT@6H;TZn8#i6*O
zG$TYe<BUkRXH^5ym^9~FNIEizhx}|HL79ZUOx70hF&2SI)j3_+%r<I2+EJy6Vl^R^
z->g+tytd;aq@`%8d8ETL%u%k4IIu<;p`5)Aq66YFLmzOneLu1@aR@;|A>9iEFc|fH
zS6E@q@J8Ayu;{;|lcaKB3AYX~Q}{%RM`sDjNfxcbs*0j{C=UtFwA7SxIuc(`E?4EC
z@j?>t0lseLB`29n{F(G<9v0ZjWy)+r8qDc0Y5FKo(SJu#Fls#w5=K59*_@P1tS8q%
zsHO6<hxM%*49uEI&L;piHQF6~<b{vBY{-(BsZvnFx{N6p>ANaPN_nuTp?M$w?LK7}
zZ<sVzPi&YpWCv}SG)acU@`gzx7tIZmhH!BH+c0UIZ6x8cdBddHFlpA^q%rOvcIAD5
z{8B^GjE+u@^1iSi$hvrELT;>H3tM!RPj84LD_bQq7XOpdmG$vluB>l|hhSY<zYB75
z6L-X1S>EzWcNI}!Ezj(FLc52}%ieOkv#NI%y!(*GYn<Q4?ntFSM|)oE@2r?8RUKO8
z{Ycnxr}g<}Bp<1jo8AF-+}K^yplQwo!Fu!`!42uF;KFDZUMk9fHms&G*{L08hr!LN
zap3xBl{RaLH^<&5JXS83Fc`U&3vckb{IKC9R!T7-SvNc+^Dk#`n~euya6p?6w5yc`
z+T-ySDB?m>P9yp?vN4kNjF64FLnK7=>{Xc)dLNv%4;Cu^+kF#e1Gh1eTM-XD$ua%6
zF_DwB%f>|3;&C)gWV6(>+48xu&6e+k)_i-i-9Jkmjm+98b~n?5{_NN=Bd)O01<@f_
zSkK#CIY0r06fQ`&%=z#7dbmEA9bU*_<9|z<LEp$^2GOO~e>OGfK=bCuAB#>~Q||IT
z2rp8&1f04K8QL4jYD>YxNDP5wx9B|%%4+miq%-A!VjSwU51J#&v1r&49&<dOS$^O2
zH^Z6b%}+em8ER;Rx0Fh^+`8vk+r>?ky9;B|ETKWs-`gz=H|VX<9rytE-Ha`Jo6Hpe
zSaf=#xl)Pw7K(26Pos{@@VT3cYbtUwe+D&@Hea1SnLh=UhV20;b+(G{z4^RE1SzIk
z-F~DCha?tT2s~u_!1c(Qy`?<5pyl?3lG_(#8J6kmlf!)-8OTvBm2PWP_v4<Y>3pd)
zF;Nn`DfdZ5PXH3|3hs)o>~HSlY$$UmLNhn~t1PA_jgSdkRj7v>MR#^wqcP&Mogk3n
zb4Ik65h1uD3tCzTE<>fXLLdm(OSnP|s8iv{>XGP49cPq{zekOfE`^>Q2fZC`!guuU
z&Ikt1rO^{5>$GY;o)~FK^73*|q;_(22h9z-yF=}90O5&JBrL(c{w1bYcG($n+3My=
zg8O!EU}#5lc-XC6G|YvmOakht{>>>XGMvP+lT-x<0rL~a@jwLHY>atjr1nrem@(8I
zGv<lRnAlnAbahy%nBJ#j;046M`?w=RI~-<UGVP?0A}J|yVkXz7FeG(zXlrUX6PsjR
zpsfc0ZJj6I#!c8_a`+%bkkU;}&P)>fC@8AtH5<$H1`6k7Fv)g8>98j`fgI({l~)Mi
znlQ<xbndyBL_8O;_NO=&?XA)}oT~3{vKZ<5bF@-SQ83d=rCZ-IxxA{=*pXI|J!sO>
zpes`Pt3lEeRK}~7QA*cG&uS}k%DCvvQGucD45Y3bB$+-7P_?~`_cpqCEoIR8!Mn!6
z{~3HUWrP1er2IGL8?U9mGeYl;^f2FiVMaTyQz~gIUYelER$RS@^k}pC0U#K4lvpyx
zs<S`GE+B)KBhDP`LyS@PS<=7Ks5>p(WxFIXh@Vfbs7br4OAVhMfxK(iKZ7v-6jvB+
z(#^+NWy7G1ns{GV<0gCIf)vCo8tIB-EZ>MA=GYl0DK={h@C4?%ZG#d2_elMr3pZOD
z)Z%CpFxs!7>$KU*Tu$uyCvIS9NA$w}6)qY!0jGEAJxVHRc5FavJdUWD)(AZJgzz>s
zD|4P2sXr7GW)8JjoEaGHe>x^!K}<Y{J2JGxVJ0TiPPEBbTI6I-uI-qCf0SC*6PslH
z5o-ogLXRIbGmxf1T04-+P9nS=h9U*I!4<M&l7D0Kl&mzF&6tzf548@dR%Y{1HBapf
zG@oQMx(%(f(YPTk8`3hkxsbm&Ta2)YdB+HyI@-j%GHha6t=T^h6Bqv9Sva_7X%g|@
zbqZ)F1GFk<9O3Lg)-J=L$)KgPeaH#H1&+7*Kp^gLBPq1^S=%zH${O_i4lSg@U!gzJ
zx{c}CS%2Bo;PZk#;q!v`KbNlb$=u+yT~|A3-16bgJ0d8}Px4w^<kgNAGDy?4K$Pxa
z$2?KBc`yez&-6SBkqt$ds21nM4ef&nQb5c4(VYcv!aGE9$H+^aa8&U~?Y`yf{gSUg
zYPgi;l;lpD44T0qmkzm&a<1i^%2ZB@K^8{xbhhXsJEHvY+8M2iDtWT4<}8BRLBg4u
zx0);L9gfi5F=^}2Ufll6=HqmJ(=sFPXl8mWWMCzA$VzhVi!7AQ+2VnT;?8K*i%7Cj
z1xXhV>q<<zhq@S&TQdojZ3C#dwFnpY-xitBuSH@LB0PwWQe}HLge~m@#v8(h#25*W
zJC71JqceHe--p5+b_zDyl6Zbtc{-NF1(r>-2ZC9*W7?i@0}Y(w0;|4TTrZx(0}pQI
zMR|x_an5d_Mk<+B&)xEEvfa3#q-}}B?*=pf9de!d<xJ}g*$=;9YOwv#4%rWTABCfX
zJ)z^|gB2t~q1_Q)qLg>31l^^=O)7gZi_53#QZNGk%IXCm*liQI&spY>J@tJ~jW#Gd
z1u0244t6OI8Yj`!M-6zH4R4;SSDHCtu1TB5tszhE%@O+2rlGD9vS_`r+*{TpkhMj1
z17DGTmy+$$tATVQDwOh9M^0>@K{vg(TmPK@0V#FAVPq(ab#pIGP%VD0b<=-wVxn<v
zWx#}Bp5syRPGuEGG<R*Co1YQ4+_7udjMz3ef44pt3ZLFgxwXg@Ag``l;oGszWcxm{
zoiH<-wc&>W@OawrKm=@a%HMxB<~Lj@^g^u+7hz1q6aeKt6k$5enW*W8KfjSklgR|W
zB87AX*G5-^hJDVfP?`n`|8r8@K9ft_?n^}A9XGb{*e#xQ$1Cu#4j1umynN(^6h~BL
zk?z|@>O`h`+DTg|I@+Xt60$fVA2>p`TS!KSa&(-5^`hHohV&0<KrMS{3u<Q(`4KF%
zOSpVZJ)%eJ=O&!o<605*A3;5~-1|Gpy}!-Hy_ZC|XHK{KuQ`IsVrD=*90hXpb<FUB
zmCC<>5#uS9ACEA_D3!eru-$;fDZE6}Q=AoKIMvIoN|P3+LY(P>9QzBHRamAcX~s-W
zOtsprS*ea>0yWl3m}GeL3XA_WNSr&s4^m-jtq2(zn5Obgt3WLGp!yI$37_yBvgTu|
zqTkgDB}5`cr#4)2Bukyj!UX*~Qel#bgiGncqI^+%aH)|wvPqFlzyZQI5p{0UQor-+
zT{rGDz!{~CC2pFnFx$kSai#ZfFDsN8$PGm7Kw6*;hS*gy9Yf3n^p8D}{eAzFOBud0
zJnx*X%{f@IXeTiXxtf(SH%sQZ;~&*USkPn<w%~`mMtNT_WDD~|Wtm|Ua2uu^{CTu8
zUf02+bb1#vtcV5Xi4vH{(;t}}p^r5+cq8-Ew2?8Z#NIdB7^oH5KXh@WHldtolt)2L
z^bYMeYAgB+9l=aYAe@MbEYf&jQm)kI%<!h}x(n_uvN>nuU$)^dv-s)ayYHsgWaLAi
zp&+6ummHryvD=C{BHb{`WlN3IG#_}s*t|`a{#1x*tRj*KeZtOaifGT(ddn+;a<D}m
zV{E<Py*7RuopNAGi-d}yr%FevM+N!%8j8$sPojR;Bmu}~V=#I5T|f(TYPbxx<C1A@
zb8m2I@~GyLnWbz$T!aZXp8ar`^q8Kvy#+^)JyFdYys9jx>#Ui6jw;io$nzj4wOcCr
z)z6z*ISkQele<~ySEZZ$I=H^+el(qL?9}m&TC1fgYH;(fmD=rUqpQ+vn8{6ZrK!Q%
z?UzDsn*P1|MSJpTxLv0Q5_#TH|5fxRLgr`o*}%=Y3D`XPg-=Y%uIORIf;9t)wCSpa
zwRX17&&<!y3#3U?J3WdTn#<O-bsl7{2^4NMC`jC#aFydQD9w{&XKXVps(T~#hDLpG
zm<qMTVJcURjg;Yje|%ao7}!}eEOh->XsT%;3ayMEwJRg9b&1=lozUMi`aV==VxZg{
z2^vl<XfGVlQIULeTCK2<L?U3H@HB73r3flkm8T}dam6!u5sLCY1v_3eX#$avObGGG
zSmtoHvm3{Y()UMwgTtqXwDA1cNwR1gSBH*hrm8%)yXLoV#RPzJ38ZhQy**Y!y}(2N
z;O|&ivFi_d&2Hc<{kMf*F&$Wc6^$HgdE6qp!BFhy99{LuWvI~{ti<kRm6WWyMjwg1
zGpq!x=IBq_RRc>do%Pa!G28CUntA1{yH05=y}C3lk8bH9>n|@~L)PEN?p6mPdgh4T
zo>$ZAJ>jcC%YQYgd%Q`JN$b-p`wCNoSJ@ASSJ|yeOI?7@v11g*d#7FNRU0yao_Xsz
zM@>7LH_6ew(ey2i&7iLd{vNSh56jj2{pTldeMocC@eU0OyAN`^w7ey_8gTngAIiu_
zi@@?*+AVJaHzct0EK`lCd2P<GX%hw?o*TacaK^Jm{~!#MGdCWq_tZ*FcV=mr&UDZP
z^jgqi<c9C3Nwl0c9;0Z_(gMe}u0vmcq{taeF)T-ev@epIWfI$Gp9DS+nOsj+lZxJo
zgoCQvsKTlZs-1>hOZ6-pRm?EJ{}U;of0Ri;X}W#F)Zpp%Nt$j$I)3JEIG(EA9zEis
z#-KYJ_sMqfuVn|nWSUDegQ$aFFg3V?e;n2ak13Vhyvn7L^v_R)t{eByh?dfQKE<sZ
zF<8HD8cxwwea+yjs00M(`^P$Gbo395guc1{6f1kftj15#q|hMXIjg}Jks^0YZ`6KH
zJ}a7~cT$xPx6xYZb>&_}m4S~#>X#+2<smz>d_!4JB8igmDEp_JgaODK8U;3DWrXPq
z|1@eQwckl=*@p<H2~-`XgPb_;lT0flR|5})UF)XJM!t30f>|WxN4ThQ(uAk{fFV0%
zNHuGSp|PU)U10GmguF$LDGUEXGo}<GYwlD086o$S!jRixa(EBGM%&hmm~FS1jY-&|
z#WaO~MJ}{HO=w+K7+Ot2E1YLt!G`6C@+)9(MdvRJ9dDbI%n3Xf*+k}vE?fj8nmF5$
z_5iE}64q|Ji(_FcvP2*%kk7H;u5UjqFSrZB-<^vWpCMk{S{N^0NW2K8vme0<3RhVK
z@~aT)Wo#))nSxiA8G)GMe-QY5Sd^ACb<3F}*(=K@?vU{PTzvX0@oBLzK2>#|Zk>NO
zmQ6LXt6B(G;;9p-pUJRJ%aE5?hOA5T7I|(NxdL(_|2abbzQT}yZp=#!@mgMbc<A98
zfs}k?S0I|KjimaiR?45TXs=n57GZ8p_;1LC@aGBP!-XMy6K&-=U|ZoTA2K7gLZV7v
z^$Mz^6+<?MnDP#77v%a=TR>~Rz1xCXWGfa&Zb10InhVE2Cmi2d7>>L2n<)xL^UrKR
z-m&Mp*~<oy{D?)e*mf+I+=TEymJ7?jAS^#r7?%HQ@a+|#Dj#7X!NfzIIGNe!TFm>z
zq393FZqZWf(1bvHi;K8~f}_X)VIbXu9)hp<{ZL6$>kQg=$Jo_hRP3O$kP98U>h+hH
zzS^x`+6n;luOhr~PCiZx58iAqT}W)3>@N9-2(@IVB3(_Vv^vy2?=6o5xRzR<|5<qd
z{yl&Ho*mUt4o@=k+DwUlp=4w5O1B^X0?n;2Fe`?#OkZ3cvCn*&^Gs2UpoZmY^rWgc
zW`lcsWS5%At~@j933#@OcKS4<o;<vVjv$UI3E<8p!p`1)yg771gxXMs$gA(DF>DSM
z+rJ;l-@h9M=1^YN+6hz~%@|Imn>~L?v*#RU!cb<VoIRgVK3ny47bZ{z=O4zAYOE%H
z3|9XuY%g)x3@u9TdP66P4Xj1{L`-D$K|0+Mr7fa5(l5j$G<CaT;W=#VK(Kv}rKWl=
z<fCJ9#n{w8z2+_AiUd_do@+cD{o2Ff=g;e#`e#SVl#%;s*(uon*pWbGjWC(QfR9IR
ztIz<0BQQX{rXP{E%^ddYq*Ab%&Z1fT8kOdU;&1*UO~8FT0fFp<6(vW2V4pzu$9S5<
zIaF?2n@M0dEI&%!mj34A+p>^yGk7aA3#7(*`X$2i#f)bvg|<4PXkt<kZs@>>+T`Ev
z(l|7ahiYa29xCd{#a$`LKTndsBSle_SkGEO(kmU7qI$Qnj5sH$NozfRB9c9x^gD$@
zb=&Rz<f(CvC_Ew0ZCoP<`(*5p5fZ6338b}`aT^3qISMonWLhdGk<ZdPHLMlKy0vE|
z`va0!zd?UEM%Pe5HIn^TB-y`~ht29hC0X_og`5v@>|vL~t<y^-Vyt|0GvS!;v~U>>
zJO>fUiq=@=J=kZm0Hcri{*)n!9P#<b&~{1q^wEVn83WqY>9ec9A*k)JV>EB%jPGi-
zv7~oKT_a=*o~nR@h<zLs9nANawEYsYdn7nk*M5UKE_H1I#H|Q2UEzN#f=fCP{9D51
z>x}o%3ffxynrS8WOz&2fAPysy>IN=*B+jIeij`F)BWl?=P4ZWE>D6I-!bfR0*^6v|
zjbeDxCWB$&O<6>_72$89#xhUphY8UWP&MT#=?FwQys#|oU&j{SBHtR(CNaS-h0s99
z0sbD@b$oidAY)v2(c8DUZ$zglIMr$moS;70BE05JTg16l;fq{|{~aNIUSWvuaNfzn
z%->A+fHu>GNqHSWPIx7>kY4*Runbz^DQ;)|r54Yt-LkXd;rrhpuNXa;p14Jf=?eep
zxe)t%LhRzg5W9<?K2};1SLaC*57rwTg^J|4F|r9M<vLysv7L+9zO5q472fyGK^PN2
z=1m>!=-SJ;eihXKyDXk-+N?#ITNM5+xsd(`Li(n{kbZ`aDxqz7fUGsRZrEFZ!<G~Q
z1C1$7Pv;5_Ty`WjieuH{I0jLR64MjDmkXtTB$O&ep|p3;#4*P>&be7@#NxcZ(URvq
zeCjW+H_Js_dL872drtN+PGAocql0Pr!jYOAHdcVotTnIH$*JV6tx3x$ne7#RhSsS1
z#v;;Hp{hItmxa{(z_?&(SI}5;@=0DMO0Q_?#n*UexL>?}lS`#SVcxiD!3#J!OLQmT
zwV}fV%8pHoIIrU)`d}=B$RoZA8vAG#wV}nFgQpsFfvT}6@2LdRi)5%VTv*~jMrXc|
zK^lXgE>{jwsmdYFkC9jk@1RpL`h%@JPbBk6K0ivu`5n@<6=EJr2Ms!XRCM%1>TtEG
zhtx-t#%siihzv|Y=k0amnhaerdV!8O>E^wJ53duesz@8z!NX<L8dXjnxqiW2)ieJb
zSy8_2uBu^{;u>WKDbw9?4sSWw?;UL6nKny8#&=?Fn@=NqvA@^pwvo&shKTtzk_e`A
z`GsDmt*O}Q9l{N*NO_jCrB2U#5U-^K&Z`N(T-MRYImlHMu_ocdfdG;$cI(|XE?kpj
z7?Z{R*nus0paNCmC`ELK{ws+Eq?wUV@+pu8ho{sH`*l$~RMo5D{X12&TZbO0x0^LA
z`-^e{%i<-0qZCRVVTwvnpj4Qs(h77WujaEfH2~i#-*_OUgpi;G99kkUNUHM?_&Ns#
zqs(vBp-*9rN)H7h=??Dm$Y4#QL?bib@R4anUUMg^cJ2^+c{!GbJ5(cSTUv6!g+)?m
zcxX^ms*oN0fr-Y2SK5d>*TPccR<y~;_}FeUI41l?6<W3GUyquMt9_bA1rNyVQ1&bn
zS3y3^<N+QV>dA2GARz=;w^e<(jh&D>g2777aEeKxLdnhRaaAdKA99Oy(Ffa_t|zCS
zytyC`Af&|(E7idUG$P<E;gFz=+XKB0-lha)JmDT7D4PTr&rRWvE>6&~K(e7q@oDvT
zKxgVrZy8N%`wNVKadxoXYeGm#i20zl+C>Ex4T@`Bqy_XK?qeHT`ctKf;`|<zilZV3
zJB<b0U4$s1CtQ#YQCOi!Q&6$C(roPaD)Nd3y00|^M6b<RxM&cI9S=t+E$WSiOFly;
zyH8<{6%?nmn9ihd3=0T$wGmKfs0Fqt&@0FGqH5ZR&>Xfrsx_A684xO~U&+bHY;s!3
z;YKubbu;FZz5&2Mg*=v|=T!L5tg*82a%Rw2fXcz7^w>u#i^$+k|M_r%ginn8vh&m4
zGxJ%WINd4A_AIe!Xy!zC77npIRlQ>DPM6q`u{ukvRXNhDV4Jf<wkGKWm1`}|mPDD6
z_9n`twKh>ynwaTqO<lZjOA}(6%g&?@WwSC%uxUDt3I#Mu+t~aQDkj-Pq*Kxw%t=)#
ztA&Z`<Jy-cVN6Kbaif4>qMA=51_5<ggl$Q)uyD(=B&-RU&92OCRmzGfY|3@CC?TNq
z_AxJg?&dhVJz0Y7xP*kd+Dat5xoB&$WL%Yn+ma>ZvuePQNLX=(+kJS=@Ce$G7M0?y
z$dY*E+K|MQHMby3xCXb@_G3w`o%NX6cAWA($5QNXGYbPvc=L~8PD<&<ozGR(I%{7>
zURvS*cot`^8{%@(qfq-L?638E&WIAjS|W$5Hxy;+M!nh((um|4YjJH@+?c%Ze>Mwl
z<_P-B<m7%mgO=*3^{~Wu0ZH)ncB6l3E|+o?rT1EtauT$VFfHM~FBc?VAxPdc9waw0
zB!%o*qBwor;#6cS7Cdf1_@B%L-d72{kB$f4ODuRtWRDg_{I4zIN4#s6P24Nt|DRlJ
z`Wmt6OXIQWx#qZ|*o|xy{(rOZuUV58R&GuB-^~T<KM}0|Iv%V~8M%v(0(1&|J8FGN
zQP~ca>k0ofs-8Kb<ezD%6R4Upq9ktNc*;m;M0BVZxI-P~$*@shKG(xV`CLQ&It}$H
z;|+BxtxqL7;_Y_C>1kLVb9LN#&o%IWp@CmE-oR(Fc!;8de~uk|HaZpnCV`9Qxd8YE
z0dVVh0Ng17DB9;0g{p3$TB{Z<sN5KCh35kGn*{3Oc%WXI%ikBp>?IbnoCGZ-Obgew
zb3yVgg5<vOAlZ`9l^F%&XDk?*Nm&?}3hq?rg5h5YhQs5*aEWoqX7JBOv3R$|A|E{q
z2$RC)=v;t&n*e#|cz|3nj^{ZF%ttIR<I%MMF-hTnEEhokMgV<iJb<nm*S8)8>5CSm
z@o8J2m@KXX=K|_G1k@MC1j-x}<UB!$0`)BisIh5VpqQ-iznu%H?-Eeo7!RoHia95V
z!nNtq#?CLQ1q&Jz7yhHEjm(>Ye<#pRLe()g1Gg7{CKLrwSOC|eH47#;B>c%-VEzYz
z`Q-7yd|ke?u$(7hY0tr!AEQDQ`ahMY@40%OsoxPd`NcVUDdlm#pR2Bwu4_oFgnv~Q
z>2e+A-y;FLf(0y>qkLQTAiU^Iyp#GaUE+DDSuB{4@b_lH!Z^Pfh&>EMD(CleBxWJ!
z_eBK8=p*1L0LvDDv=r>1xw7!vxd#1T#QptQ2c3MOE%8zxqkBt=hSbefDUrzy(Ir>s
z<|>naMhf!k=IW&>imIEdalWehdc}lBCFO1Cx0)*J*9R+W+&mr&q+VpU3;vsA?XBYh
ze|<sm3{hNv%i>yC6Bah6F8trg1>5%twhxR4TV>6IH==+(WC2}=#x2y`uJAvd3+n$N
zs6RCx)O&TzZ_zO<QH1}mLYUI?Tw6e+)<IqjIY9Z92p610Kc~1c-*Ra4{RuscO4Ig+
zFKK@>LTTs<%}IW!ZBFuYDk945MMg`vzsZD}ACBqk(51&14aZQJ!9Q?QL%XCeC&w)&
zmyZ#e6cvgyPciGmSY+*lVv52)n+RuC`NtAGXQ1jBTfr9|x!9{Hy3-cjBiSp<9PW_t
zpO%X`k0R!59*;TC(=)d4*t972S1Ig6>TZly9YtWY=Q!km<uwsDIO^_Hqwdg#c^~P~
z4tlmftnhA%&>E^;Sm9CYSrlHhx9Jq#aU?WXa#KUQG)&?B)+09PFe;S$iA!?l`UoDB
z)h9e2;V)+rKAphicoL1qc%ree_A#A@Uw7^?cxns(G3RU^gdelaT#s&8)VX2dzcd%>
zClKoQkB2&*++5=z*XYD~&|<v~ja#U>U4%#Gg8D>)`t{>M{k%1c^^HROUJLPE<23s4
z{SOYipk~)CpIbzrWiD_zVD~-afm_OWQO>58@;`3T%0k6T785|AWUj%VOp^7{tb<Qp
zu@l{J9O3&@DPq!;8%{=0CpQ#v!!Z+IoPxY^!yQUdRJq}75~7#{a(h1njn09hc=@Z@
zfLVnLpJhBG-f2`rf$My`Ti#@@;8_hS=HAUdSoioUsmht9F3kmeSy4>MM4(&wRx56~
z;x??uc`m9%VpZNP-S4g9kq6um#idkTV}4p*lx|i6ynWtj;49rl<qJ9L$~$GZz{TVR
zeH)gpUa9;C>fZc<M`dV?oJy3)(?1-_G74spF8!{qa><Lb{1$?_k3MwFav)A4Dz0R(
z75*@0Gpxc!9SQCI;8D(NT-aF?PHVbr$Y<Te+H*N_fcCRT@#K{Y>wN#H?xS6ZPC6Bq
zE%Lk3A88#n?t$Pbv=$wU+IVLy&&`=T)<pWF*3G#zJh}5)qXsRa+?Md4lm$`aA)FvM
zpTKaY+Au#(A|E<d+$SMjyNMq~cbi3b?c26MbF;#~Bp1++CZOlX1G*}KUVHUtEzkbK
z+PA4S*m^W&xp_0OQTWf!#ZA^i*JtHsvZ0!25%c^!D@8-fB9@vlxuJ+f%;Wfe3d>$u
z#Q&M1Xo5wY+^59Bb8c0ebJkMmpNT9k>W$A?m1y003Dx;(-ifT#!w(HdUlrv?JBPd~
zdiEVH+h+7#(fE&6)?OoJ?bVrNjb0Xgm8n75VsAeEQE;Iemr#EVUlx6<X*k6*jXLe{
zn^1{;yza}QI_)rhbXR=K&0$ZAK8Dn$M&ZalE&97O0J)~G$<v}tU--Wt!D;BSY}WC!
z2&dm+{D)T1j_=<zt;D7wzS3J>>8|2=hgMQf0xp0}A`;2z>`69xb9BM}tc7k|%63vQ
zQQ?2yj3kAm8obUXygpqRUOzJMBpPL0<1~=ibW;8x3yymJtb3?C@Mzc9EKYeTT6~z8
z@c%g%K941QzET)Imz%fEX65^E=HG+x@cVK6L|pvKW{*0}%)_zBTBMkw@Q)|LY4;>X
zk{(A$9fPVV50OXAywb9V#|T%;DuF8hF^Cb8C*6Eabe28A0+WS`#eoUn0i;|woI^OA
zQy306X{T_?_ZE<^Oc?^CjzT%gA~^MLER3|aTnnUVxp4`xLHOHpapUpCjkz(nk-R)7
znrplU*|pj+RMzBWgxj(JqfL}u3`xSv2=via0Ld7*FC#pWpti#v`7*-ZZO0#T4BtnW
zxh;`5k8;W*jU^HWn;a%^1<Ra->f?Y8V6P{V4kEc?QkGFE=g4!748#pQUML$P_phuc
zDl02q1z9^AtpF)CBkL3zka<iGB86fZc}~419K+#Uc=U-LAVBU&c$wX7rgChiDMO4h
zwwEcvQvyXN_frb8@j3eG{xZ3qW%rSdunX0Ie4)WwH|#Xk?zjxH$(eOVSN9k2mNPa+
zFw=O3%?C5C0k&9@<WQHaQHd=b>w^<c)9ZW6w?7u&!c9878@JuD8N1Fs8|1uRWQco-
zYZxW#<N}o9pV^O0p-5G#GMQ-|K-z-Wnvtguq8Qy$QW|0nHA{&lG(ihw(<?|(wXRwP
zX}6A)PBDzJ@?DHZiD8FrqF{ZJ#IJCJ>!?jeFm#>!<p>v6k(Bw@vTBmZ3D-5_8zkBo
zE`pS`f)9~RCj0{t(`>kt!+A{bsbrmX*y_u3UbOc$IL=*TD=TK|;eP1?Rsyq(r!a-s
z+*nUNIAYS+AvhB`#W><u{?MFAw-ml|tvOc^-;%Upu>eY&_z3eXqI6!cmJ>^>qqS|s
zDyr8@MfJM8it2n)R6mtlQT2BY><6p>r8cJ|Xy$~$e<zJb`n-#wZ}DQ%!hd%byo}TB
z$pqFr7_8wdfjW%(C5db3*t)T9$})=Thb*e=*a-_gw=evU<bs~%^bf{^{*a^2*L6=G
z<-`{(Cyrd7EMvGk!vA6}#t51df1Z^w$v&<`KOaxNx2I@Gok>fjmfTR}OqvDk)hWoU
zGwD~RD5})J%eiRiao@dPv1Wp`^NZM1#h3@S0c+Zg>nRyx_l28t%&>9WjJMIW+iirA
zvCh46R870X^M9lh<?q%;B-TqHk_^gq20oR=xz2qW6o!aNdb=`7ZNJ7=1#-=q@2>@E
zyL3F^blxYQLw}?_!*t^+FQC=qEY!{!SLqFypBBR6lwEZFo~7YR`*fW;U=ioGg})^W
z;>LiTB)Ff(aHle0rzB@W2J9>24cIX5>!bCfeA#LFay0eQGLJhb{OfWtkLSuY<1z0+
zM->g4!0XIIr!Q)aw1>C;U6z+eai=Y7xxd1{I~Qx&UHH7LtWCCU6OCwA02iicNEy*m
zH77R|F``*S&qzUD8PTVtD4J|U_itO1(=JB{UxWTBMPGbdR(7}<;r}$XmUb02I{iY@
z>95WTWHL(=W#>uM&`VQndz9=*_jhtb5!vB6&`v>K$<F>1MV0K-QPc%CycK&p>~1Fj
z!g<k!FUAd=gU7ueC10r250VasCh~TP(=;VKw$!dxdmTIvP4A29gL(4+lUYp@2unws
zxjv`s)6YX{<mt%}lBwn*4w;v{7TzlEs<(9cB`yj<kz;W9fZgI?Jk`ie)PtFrnTwUG
zQXcq*F;ec+$nID72uH9{?d$k#V<19is5m7sG3AlpxGaopeWo3j51)E^N0Xt3Rk06|
zZbcreEGpLBs6367-~VPUo995Uzilu_+bEq8wQm2O`Yv}Jd8k<|n2_-QF$)%Ex!FuW
zJj_6(+Cuz|#4NOh*s~UzFbdcAEL>~To&}Vf68?YZ0(6Q1{g3egot4@%rRs<xb><mH
zurd;|5HJm7#3E9eO_*td;0#nv8O$6fQ@0QVd318THjH94Z80jkB?}@qf(?2u5K9E&
z=J7z>w=RpgHL&~THEvL{aenRFu}s`a+(X{0TukI;=E|&0Ot!HTjd@n%UrM2Mlrb-t
zzT}1?#ypSX<0;51WB$V_iY6HI$$d&3{CPB0Z0xk9&_BE9+_#Il;}`m_L;rCHaQH1h
zzCbtRmfxw@cPcCO==HwHuU5idE+y<`nIw$v_5GNs!T0*+aIbG<+<1Qq2m0j}Vw=e{
zwTJui7j>kwME#Gd%r{VL(q2hV!;X@x3;&I#&si>7%@c=z231q8D6ciG#9mC}{_7Oh
z76bXqFbsY*f<Y=876Yy>{9iM@%YwmH!r<M7VQ__$m#<vuB8$vIuggNAA5nG+2pXuc
zrJ}O&F^kK1bS+j)Quv?9h1E8~>LZ0=wVk5e8?9cu7bHMszK=rcuPjpIP_;NQLE-;R
zE}SkVoW58XPCr5^m`RhAYu-}FqZi}#``PLTY=TE?nr~Z-@=~<;FfrkOCl@}K5I)~3
z44*5Onn-`tEaMeGn6}F+NX*pg@+H0P!o8y>iwSxx&=i}9%(?#MV-VAJ)L1ku#-~4q
zZKPA_kIcJ;O9|smsG3)|+x0$r2RzYY;Ppf=pP}3E=aov%WG9y$D@NqdDwVb~Y*T*I
zeGB;9Ar&;t=OmD{dF41C>eI5|r|+U|X5<p?qR~f}Bgs&~;4?mfrxQmkIx#jy*yDN&
zoOD;1#i4x5mD@$Dvh0!L^Oo6eJ)#oHg{hYqQz>AND%XNlqAI)S3kpp)#kq8VG_#~)
zTHX?Jp&jr<v%Lh$`@LqP-fq`KFTkxNxVL0Ea!S%<qDxCIVc9aScHy+F+XyXy#+8Mq
zz?}jxovIKDN>#?UZX6jwzvOkXyMlUU#S>HQ6-vKWX-?0echwo$ml;9HS7wm(tkbB#
zMU0>Kdk1HPei7<!IoC%zN3Saa_mYG=73w90<@lH*x~D+IOQHz8Bc9Bw#uaHj`^P6_
zHSKPi(87OCWL^(<-8mN-cF@$mnN>zEzvp!7DJn;AgMgQ)%X0gWfruSB*GKN%EF(7>
zZ95Iy<6#enN^MFPBtjuC=k*2Yn<y|pYJn-N2@4xjNAlcUuw72Dy?8v>URB&gFJ_vL
zQmg$}6xHKm`WsP8*B8_~t(^*^XJziKBy7TeOBR`P4`*0Oy^+N(ostTfBmHL<u^2c`
z%`3;Fr-2@qjK%jiCBE;^g0E494DS0F+*GRYS4R|0w6VFNca5k`en#bzlnftgp}MbO
zG5Oc0Ag^4KuT4=jr2Uh7k~m~uX38lVQbU#tadJZuFDwuFrWEAWkgrQoR1NuB6m>TW
z$)b@s_-BN74bB9561GT)5Ljv>Q!#eGuJxU;siIw2Vhuf^9-mYsvaLGf%(P=8y!T^s
z2jz7NDkWwiqmM3HLpf+>-ZR4h#cZpl!iww<$F)Ftn`GZE+%9u$aH=gnt;Q$Xq(yfz
z!o2io2(Y7bJMZLdK+EXr%&L(K?(dF0PWLg)9HVre#mqUz$Ra(y$*)Z1@d?>w<1&(3
z;r~cPc$23(O$TT1a4pI2Hl7#hmgR^zUonm(%1Ljx6T4^>ayu~|U5gKs6#gw)@G+D7
z8Up7g24^^+O5t8FaSZJ+E+>G-nQ4yB-JYM8*01A`u&6E(oY;KjLX}0Xk`>itb)2|(
zG5dC=Xh^NxavCHz6j`}>99vS5S1b3^QWRB!G=-w>S`=PFHWHw{nef4DC=r;3PEs?g
zpGC9!^?8_~&K;8_BvBNv4x0&<LjP1gmyJ2bmLF1|U(-RcL-xtoQBu0ZS>x}Vl`c;9
zT?S4{TwT&87!#3_;e+$~MN%^Pc>0sa!k!v(YJU1{vK!)7)vi+S1HW6{^1mf-Kaq*I
zbaMVtQ-iy9LntHe-amz3bq^(6qI^mU95|n=Rc{3kVg$%x)`3S@x^@HdFn8NaOK?Ra
z*BW`5+lz}6i(aMM>v+MOAVQbH@M`v!TLHb6(bY9)#A35uasG++JPM#O1tz-QA?G_H
zq9~n*gl9%5^LN$$!X4HLpj5eOlxv9vZ^CO;7Mk#g!;cONoc}&2uECQY-eRTK?9PY^
zp54%cA}_fd6)Ln)&TF<03ZzE_E$>ied8O%1z;dkPM~uJH>{7<5x)+$f&uKOac)~kq
z7LSKGsgDUKH#S2zJh9vhy6COWHiwE8dYMP(X{O$X>fvRN7Fg27@$3@N_2!ssQ4HqP
znzq4OaPS9>wN@Yeh13V1H?uoSe8o+qceP@Gs=9mnfy4J5o~oa)w|c@c$24$S+vy5F
zXtyR7JMCo_Gou^S*PT!pGdk|4WB+!moU#)W7l>W$3Pc*xuj(Q?{My}jayr`yp1wN-
zQJI=tZTC85Qp<DI;K1bcgeqUwGjxY(M^T@e2K}pP4)cx<Q&ApuE%N(4T|I4i`&Oy>
zm}mL~OLs+)rfw>lN_QAlP;1~3wQh5jkJ&Kc8^QKy$L8#0)qR~KH8$4>%31~O5Z6_j
zftR`}#}|hQ>_M)!H1(lx=kz&SJ_^K@vQj8>?mytj=&V$5zPUrZfDisApIi5!^S9i*
zx`lYC>P)8Trb{>6O^Fm(ay37`M5l?JRn3<G@dJD%1gD%{mpAfYrasB!BU1<j?e8^j
zBVsg%YEv(ojNw^Ak0!TE-pz=~<wncts{U{viJ{o7lZEPqPcA~#%Po5K*`mckMO+1R
z?0c}Xng%bHDA{*JNrbvVk};zWV&!q{(Epu`kq(T7sK}upKFovTiftZbDdojfU~#8M
zwXoE0!KzQ!y*pkrrss?<BwrCJlZj>Kfdg4QTS$0QRMvn&5O0$<RA-9VH>0_}BSM~8
zbX$jP5t0qOCq}xh7mz|A4M%G_l1E}uU0j`;P@h3vk(rafOvyj=EZ^~>$#$>1((9HX
zcgvM7MmNbsRwn@@o&;-kr-=Amt+%`qsLC^t-WuTBamlpGV?Mv3Za38JhPqX{QLBgz
zb-ST%i&nSBZsy>#zlYI0ECR3ItS{GFuc){CC$6k^>+ROz`n~rZhM%kcg8C%yqHm8F
z(8gKYpLVy83mvbrzt%p;M-Q~;bj%aIPs>un48#A9H2=Sy%ltnW?tRSZOvtmgckbe2
zjwzM&daLZ^QVH>Bd$6Q-+bgp&*|{>j<a>!2D>nQpXErQxxi8?@HbOyDlZ7XcwY5~j
z5(+yfV9Hn1syvJ8i;X3C7ix$QU0I<;8zw&zv?Ejzf9D7tEZ|F>c5j8gs8+U5@M%t|
zq&EDto4*ASsHKwrFiG)oO|R=s%HQVZ(AAnZyMWNO{oA(-$#*JE|LM+KqvKXNoGI1i
z9hM#p4k2hXlWbPflO{n?jW`r-Ghus6TbxBTnLyn(4`+$j!P~6z5sv*{w^|2lifTTA
zI+`bl2W@$l9mO0NdjaB(g9dy-GNuwU&{pAXt!CCT+(Hf5e3bOwp+VN6T%Lqm0t1{A
zH$vQ6h;MXil1xI>tT#zC)R7}hREV~n4nT{pk;B4%`la(T^Yin9UvY)Y$9~y1uYGBA
zEQeS3x@{Pnbg+zVY2Y=nKSg6|$FmGS9hjxE;I6dWcxs3rp`{@q))OP?bsNpb3q4`p
ziVaqSuD49R0xT6+t$|=ClO4dEoB|~b%WP?9#nd$*kGRfh@htYVVR{=+TM$J=LySES
z-tuiNm2ri>(bkjP>r`PASC$YN3h!41F1l(1LzxksN^6Nmz#a%h*u!B+em5XCPh)9f
zRPvu_+Pk-h(c{;xWMlJt!Kg_dyX9WBj^ALaOBW}~a6jNY+bNxa>OEfK4nEG$ZQ~)6
zbO8@X6au5V@VmE!&Zzxf4uptjnhI@U`F&%G&Lz!(y(Tp4br=YsY_uB7c<)!eTnwkH
zYBfirpru<tu)S%aa%fl!)S)b_uN=~CK%3e|@Q*3Hql}S-2auIK=rDb%hjpjCzf4Kf
z=z7=Gjjisq*p20bXM~*zvH)0%O&)f#G$ZAdg;MYiA)whxf-C{lfzPFwh@dQI9+=|Q
z5Wj2(B>$PfmaL;<VhT6;D5&JV^U^c7#L*060SJm(a<nhNjLG~!D=ai+K}~A1dVC1~
z#uI47GBrs3L$S?Lm^rnhn$_{<rdjhtvCV3-s#z&E<;p^UYeEMaJkL!RluY3xPE3$h
z#Fi+wPl@fQPGYW<U+8t(mM5g2WOfepM1C4~>Y7HJM)hrmgogEJwXBUV{nQ6dR13yJ
zqk>m%+DKqirRxh|&ebberl3>k3s5j$phC1P%UcX2URbr@;MQD+%dA=LHI+K&k!I8d
zkwz6*CP=A_*2-Ay;Do~hh|XTGQqs`UX-aXQOexh3UPmQk>3mL2Z>bHalO|%N+$M7l
z+nyTePwi$)d&@2;%Dd#>@1Dle88nt!Sdr-sF%M36Hqd1q^28b#Xcb1yHcoSwsRcF^
zs1sH{^RK`bS6HO7rBx8NRnuF9pRT2zV!{SsiY)l)kiDb2d9VR>g@d$ey$vrh9lzoB
z486BV_5-OhSxzZ)Mc*s}P78EbCwmJt9+-{?@FEnQAnHYf+EEQ}7n>_E-ZsyO&5Jeq
z-&(uU^5`!?wcYK~U*L9?KVXqs@&f*LZ>PIiaZh0X()BbQGBWj*9}F6!<}C{BCK!eb
zUiY8}7^o?hgw27XX#|ocf{_p6GB2LD80*n~17pA-2Awt^mP29d3H?z9)K)fT4FO#t
zlNDh_h9;Mxh3=DC#wW?KhM7EL9?vY(=hP9S3}Rkw1X4lBbxU$x|2jnzf}RY+)WiuF
zZCPROsQ10>th3WCgHdJLX8z$~5}!#+Gn$xp9UZMt^In`SN!kdrjl9*Gz{EV98I%7R
zy@Z@XxA9QXOPYLYXFvzgOr4c&4g2E`nV^_PwiBus8O+p-I&i~K-7r+iP$dP5jAiQP
zAS7K*Jo7`bR+1*GCz&=&b+g)_WCv7n=CLNLnl+Y$Zr1!z>}WMvJ(+n6a+KStNymev
z1C2vMd26gcf(-yHc=ljZjhPm~4YPN{>}|=^TN`FC%vf@ClOr*WVZCAYk{P~kW-o<-
z#9F-^I60ot%OnOIkvi|ATy|+6MJ(^N8u#{SuT|+(s<02$PGnsF05_&rBM{T;ADN#+
zJfIt<<%SP5qYP}AmdcRUHekUPttP7{^CQ8ud_;HwH|*b5F8>J``cb#9aWQRpR5v`T
z@XY>DdsN{Z<jXj*=B55P=5e<n6EZW&pUYQ$Vw;wifW|Xz^+h7bpG%GE3q`T*>W@Q)
z9P&BD1wpXS7q}u50Nq-0nkREbo?WYUWF{`UE;TKz58nAmPI%7bwbHDt!gtFt8Ztx<
zu35d#BGI1m3{!r+a<`3Fa=hw(#9`y093dXHhC1MqE$x9VkArSDu4O%$mv6zt2@dRg
z*>?&yLCj2h1z0Ew@>&hk_G+r}a2sX0M=0|Nvh`E5zghaJ>y0Jcpz0#X1AQX<L+vWm
znKK4V4r|(5ajrlPCF8&vKIWmA9$XJ2FLtP(6l<kAR9&XiG3yp`ShQ2#2$OLFI7Ol6
z<zXkewBe6K1e4ez>R#o*Do(F(l7u}D-!E9fDGvYxGKfk+%n9DS!1aW74{<ZLS%P|z
z9PL$#f0$B(#&JmlCqt}ju^y=?oq8nz4Du)kZC`uy?iqbY4Us6%xYVJFn0sJ#z$@dh
z4bH7mloxtc3?z~C{8ooFq=16<%RJ(;9x+;Ai6l8;wwMzq1l3_IJd|!7=N$ERv&I1F
zy_yAwP{MTqz7l76wMr)rbX-Tsu?W$OB!=s|C$Y1V3J87MZ9JtAA~i5M-JY0>FMvZH
zf8z9$ZwAr4<|{EuSasJFupuJt1s{Gk7Dx#7P7GvMWdZS99T3Am^q@cqv$|QS>L3?V
zB0!t&EJnx^&z#v#r1=a_&1&a-RiEdO1T#G}$bA$JNmhw;)Gg1h9sJqB!DqVmGo5zg
zx|Y>FSq`(j4yZv=mcW10-~dI%UySQob)A%g)YPm8PWptIq{vXguxKENq~pscILvKS
zWi+2v1Tr>|Bv5*a^%Wh8zvFu^vX*H8M}C10nNey@DhnWf2fIS9B{5bZhtujdSqy!p
z;iwr&Ko7yT5WkU)53(aq9lFNzE=pRlw<Jiv0O^6_{AmimrK?js73Bf=DkGq3Xb0fb
z<YKScoD?q>lXd(#Z7IVW1O#q?#_jBCFX8_p2q=|Fw`CD1Kq)JgPZ8P{nxC{N$w0L0
zVhT>B#sR2Uwao29yZgvGBiWTPkN6ZG7zd-$X%PV!c=)cT!yP&=CRUOgcJ0#j#A2@{
z!#$|98WdITcuU|v;#m!kBPZj!0M17P8+N$u9{szls0F44@GL2FMv*9kx?7bd)@m#a
zH19~7F<fY9(30yVor=@Xydl)TD&a@;?Y45gz1*h9iW=QjXDUm2gd+;g1~^wI&5R(9
zE(`&Lc^uN+&N-bUL}hbMS4?CAcfqkQ^kj!<Xbpv>pF#&{I?I7WFLGRGyG7EBXbCq=
zS2krP6y%C3u`*SaNcyN!jv*Sdhz>#z6Dd<)-TT`5vRH@%aUscWrBG1vaF?%C!k#mt
zDi)VAB47eY4<;NYfe|@*NpY1-M?frB0!4r%nQCI@sG2+>Fq6n|)X%d_Q3Mc;U#@}(
z8_++nbtsELt72X6AQt?9p1;whLRr4>9<zZKnO<yYTF<hk2i74Ifzk-^6iq*4D26*X
zl$iE;D{aOzQ2xdmL4qBxrxW9$Nv0(Yz7na>)g5+QqTl4|kh>u!q1z#mbPbV^D7prL
zF$GlTGH3ujV>OAv&5qlH9}0VFLMAnya&i>iv$pqVIOjtoTlZNpP3n9{I?+f+Nna$5
z+^J`U6YUJmAfwaBZ9*kZBlm1*o;{FxOy;pK2HB4F3nh#E2h?9Tn~+Tt6V0toH@|kN
zn_sJRcj^QlYRtW<a2l|^XCuL0vDcb-MynkG^tQg#L_garNOYxX*oCIHvK>=iXJX<!
ziS1>kG08jB)K#8I>_90*LtPsWU1J)vu>{Jx;e;zj1%Q}9d3sPi>?%@9;*`Oood&cL
zI0-R*u(JX?$M|;S*2ug_HTh@t<i8q|f4sYUwmba-h+(!;-?C5i7tutYPB+o}XUAPN
zlsMa~p-{+rGjFCYmkGVH;P0mH%5;CHN6K4hm{WH|29}Cb&*32rEozkAeT2cyqbv9-
zLEBASG<12ie|khSMNv5|{5=McE)7!xa@xc9ze(TReE9x1NANg61=Bvtp_i@B=;0YW
zUP5@ZMpp>qk-V@ZCPri6rSRG0JpI{BidzCbpS6~`W6UD<x)FmNeO3B_q4Ov#D~}nt
zH5-+dGomG8<mEji22x(mfV|kXW>8|@OGUFv%)3Tl;+hLDqtXA$=n7h5esM(6M2X>s
z1|()n3W>4!OzONO{mk{kQuC)HMlo7yUY<c}kaKy6^$?XH<XcWI9V1O&##odzod;=(
zHzo!p>#I~Pt7QG-2;5xBdKDq`@aPI!vi@d7(L~AOh6W_-@)VL4kCm0Ov1o)PZqwQ0
zrgZqpj1re%+`(*&leomvF%mb4u{aVJUv*I8o=VlSN}L#hn=5fYMF^cYx`LLtCyXeX
zC~@3SE{TiBDx1V5(g;i3wIfD1TF1TCN?fvu00wA0FX9;-S~2(Tc^d671Cul|wbRj7
zQ7%W?<+-^G9AA+=&4}LZU-v8sM=S?IrVDH?j&w>kLE!R19G%9n6QAM5M(L=`e?Z-B
zq|bhk2^;bkf;MMR2pzp<$b68gL7X-6Ndn#KH&MmIvmRul&p8j!d*lnS4d5TK84t3N
z1{LLzm45Se$aau1*Fm=N=u8JVTtHR}%?<iHP8NnG9mv!SMffty^_?!$lKG*?<}^`m
zQs3t?O`0EyY*G{DCUwBAY0~^qWRsdGH@P->4Kgu#SXKi(^q1>$SEde_CKwU=mkBa8
zoFHW<kCMR({aFQP#N;!`+`cAB@kexpe{FLaWa{2vCIiGH;0%#-0pyOl9hSx5sLElm
zwiygSeI4=_$cT+VXC26&y`ZSv1#(`SgaDXknKKvc3}t<SA9mOUu1o@NggcUcgN!MT
z0(2~D8;ZeSpd&bEzFf639==Kn5mU-s*AJ;8`)j6r1({$lZLmsGF={ey1?;+R-E$RW
zFe@{j>u(sAlrt}N8m%7?!;*wVTYP46nIDR@xHM5Yk@Dsv$TWF3>`DZRai+JytX#|n
z4!Ls=s$~=@M;w}9EBTv~6EQXi!G@8#CJDDP$@_+px`t`CHjGr2r0o%6qz(@^9mhl+
z%rAg7v|X(%m<2Rzc7aT@oSS0x4U^3@iN6oaERd;%4O4K#6wH{ODwBL|n1Xas(3!hQ
zMp~hM<l&~^QSWWruvM{D%iv52xo~;8FfN@9e`SWmP_&jS*P%}TxnT-EvP?n5gk{SJ
zkZGc+D<k>=P;)n)Jf#`30c37-AQu2Ns4x4+dS~^=L<cRbNqfo4xn!>5*X6ZELnY#*
zRd=D(O*q{512G(p=gk5D2V3}7@cQKdP?yC_j({Va0iYy~!2N%2wBXzSlI9xR{g;G~
z^v!>oe;j_QZotRRK`LM_myNRv4H1e=MYk8Z?x>YGj7ldkDCfKJ&x&#2zW>0yCOyH|
z9QWXOnZjCNxu}d1iMRa~!V|3W?3H;3aXtwfcGEwTzC~cusC)j9L3Ou3+bw?@0$qPL
zZ+I7V$G@bmquVRnMc?p`gD~g){<XT@54uO?-TpCd_7{4upWOEAc&nf1>zH@?<D@R}
zwz4~M3%}7%qbdA8f2QH3yv@&H+3p42okc|1N~)pjUj4_#6P7{b^ZhezpstSXjof;w
zAP_lo-1pray<DH~&tWmSRow@TOHN>$=LOETow+80$Ej7ft3$({&8@4~Q=IhkxWl8b
z+}?RC1w^|6xb6~X(!LzwK;|P9#++%UxEN9pb974VJ!b>zq*wFeCOWRJxsaAhdWxUo
z{%j{0-@kiVWX24=x2dl*KA<M|-jl!~Gry0TDE=cN{1(>@RN6~RO=MHS`{akASxH*5
zE9D1CDc_f*ltY(P`j=;L!n$+8XdNe!#`gTQ^n4qKgt-Ic|1!ZQ{9lZqH*|uUCGAaw
z-p@07Lo4X3KW`aPH1R4GHze6Kbg|V9y^tFUv+rGxq`NDU$@bFyJ0C%vk6Sg)9PGcA
z<I}=7imZm?mE%vc2&P^+KFREdS@<B9jid8+k{#yJ+(}Gt!ZN#FeG6%Zk1`ulX@-~y
zyZ2F>$OcY*fh&_$NG__F>szU#Y%?`RVHNECf;7rkDB$f%4%)~@8`ri#JH@4~Y-Ht?
zEuG?b%`a?W2=Xl4ASC}OQ??@9#eFX}+enxYFv@gQD^nAEQ7d;iZKkG71O>*EFO)V@
zbGi+{r!P(!88$x*4HnMSoF+*U&1@_7DX&a@NsgMx7x9{@aeFCCHfAnJ8T3hkrM{At
zxoy)PII*??BAL1tjdLCUDpvAEtfS}})>>Y|T91&1f-YbcbNxzAs4*^IWw?5kNw`gv
zPWa-Lw5FY{<8*49D9#W+N!8ZY_i?a-tS!nW_qQV!-*5wNKavB&*87GwxhJ8bv?o^Q
z=G2y!Iw-U4_0yDA)Uz9*ZzUu2pSWWqJ+A$$GwjIYtw#x|*|Yg)J{HKx1WpAIr!D*I
zO2@zzhX3w6JXJqIHX!`7shzYLQ_SA|Z3NC4sM=c?&R~@k?Nlxr-cnzbE)Y2aO#i}E
z)wG1BENxvHvxJB6pOy=jw-YRz$Ae`qgD3%t2t5AP)Nv^{St(f%n27MN%>}|Q5(v*6
z4}|B^iN3MsllMEBbR=jpTJDk7g{c~{(v+rKRzvwOAOwZ~{9Hi(5&?N90~w=%!jmZz
zuN4k<S@4&sgE^!Il&sV+5#hIU4fa=Pu={zisWeJ`MA1ZVAU7mYP2~-YQ(Ye%y=BfO
znY3YEukG@{92n^U(BeP3pcRJ0Bn86%>0H9_4ibh}Glyd&Kb&B=za@*p1kiFccBTDA
z>Y|kW%%tpinTqg#IoEjKN#lJxk2jU@zg0rB0PAV`fy2C>_ZQbEJ5Ch64_frrs|OZz
zZd~}kmkacF5$M0274&4Ck*IN)yHc8yYdbm4;xx_+QhT_vDIRu|3}}SSDO=NuA$57n
zy1yfy3IA_%vF_c(y1!!9#ps9d%D6R)da!Ufi{rPck5WP8AZCZmbcFw%Ttog<8uGVz
z$f;Dszl<oFD6QO(#5TXQW^k8gl2>w;4oK^C>ejTpW~gD=ckbg@VxK^NWZp2nm)Q4M
zRP8N{l-Mk*kO9QXYd?!Ei253otko<s^Aef4T*$nSkSQ@TsRVoTh@y#t%?(Kw<Q8mS
zyU@+%#QZSCk)27zHNgQfzgU0C(6;7nuDX`NdnAKz&&A+hCkEfbTpKC+7iUn`8V)%|
zYtMPqOR27Nk+Z{QO2S{tHSG7(u&X@mRC2v<MA1aK=7uD``Q=)l)fm|_KNKa`n&6;Z
z>n|DFHgcV(u4QnaI4k^D=3?*%h`~R>Tq{(r^^l@+{buTAcDXj>?68@V@P97Xuz!n&
z{j)smRC4`>5k(W_nj4b%=9g=IC}?EM{7{r!Yl4Gvt-oYw+sJjEx|YEoA<hc_L%A6I
z+r;4CW3Ck{*Lp}%x&9pWGP_(Ga(38EN%()BYuF#8VSk2)ol34B8c{S+uDKzJZ*IAM
zL-8lvnT(Xg^X-9Ia9hzm)l;N+!d8&}izG<+|CvjWewPI4J1iX|=MUatF2`lhin~QS
z9CK^``=_2`CR8!>Eig=4_@`3~nfE}yPry7HRZ|`sojjsw;tb=4BnNWOu)2w&FzP!L
zHSt2P(~e}X%`}4y`GFZTZ$71LS<i^<6)j^gA&v@vTQ0`_0Wo%txiwPaFUcVB1_(Jq
zYvMnPx+#~8eDv(VnUwIa&o%H5(ZH|efu~wCt{PD^QKGpaiEwU-ei6ZGVsqkUOMi|}
z&zxDnHMw9w$e%f8XSB?ZO~*<?lSDxHelAJ)FiFB9vv=eaxGduo2&3pI`unJ>avJ2P
zX#rqz!hcCF06t0pyodovH5CqxD4IAGxFLyj?y2yGwG2zkG)p2uX#?}*`D@oxJ%!e?
z2`gN`KvE_Ax8)M9kCAY_g(YU>?8<VpB@TUOe*Fe@R?e?+s9F%1pzuGC3xrP)2>(BW
zkZOj#cSO;|8O9AswDZoey$?}f*I1eElY%Rcn$XI%3#?rGu*yP$DvJoI95bLYbvR`v
zrECOuL@?zZQ!rO<w0H^EYI$vlTV3=eQbNN2%UrtXlcbA2&k80+A%_Dr_I?;)hYO9C
z%qUWBcgj-wV1Z8U#zXY2r7gRlDejVgzk6Ej^n%7x3mKsTfkgU?UZ;bLnyL=xW~nr*
zy(W?&wwCN`8i+J+1(a@@c4;s!RW2C*6*t~{fj2j?Rx@_3=W7A8wSc)Q1=DQ8HrOiY
z`N!poPV^@ZHjp%C0XHk^?Z9h^g;i1McD-d3f}oOEu5{W58a2Lk>;-cZM-yA;_kL|-
zmKMa$hwpzwrPpmgeE)+p0)Jnu>A%(5m6oUf5mejVuKoueeYYRFz0Q&s=ug4D9V#{<
zXRxJ>te&LRYLwCd5(kmf^4MI36m}1KkU`x%FJ$;fU}!sWo8Ocx!N25M3I3Q?g0JyP
zkjg6kvRpJmp=(ug2IRa{k=6o;Xs`bIwK=~&ZP}H5)8lz%KZ*Xx?4<oO;^%Rwn$k%d
z$IojrI5><66=Q2TTd^n6VB}V;2<jFrCM^8(bAk040_)tYU?p#=61QYL%cQ-PTzepd
zFu7=ALwvDA-g-%{?KBj3_4@V+x_X`Zxu;B~IW40Dk3E&hPOLTpH#@dmZ}qPko_fmE
z9n&tNw~zEQPq_A)HnV@GF@h>xsZDe9A@kc^ph~niE}&Oh@hK4Hp&v<CmbXGP@s~mf
zH}0QTnmz0{$H^6-0}@D}kLLU5Se#*Rc`!LSduaRtbeiXzHm<U-tTY>tnur^jEOH&3
zIAby`%&>u@g+w?x7=z4eGtwX=&X`fTJW)c#`=VsWjtbw6z<+DyzfrVh+AX~07p%Z;
zSZrW#HPwV?YMM9iV{Z1TjRH3OM5X{=4!`U$#;%LHk#^_BZ56a5aIbFSDtk&BllOj8
z;gqABOl|FOJ%Op&eKB8Wzdg&oKxdG;g?9wVASK}Aj9zD#*6ZM9_R(dr*C5L7o^Gg(
zZf<LTmbNK3ai>OlYx~d4z^XWFJhIXDSE$Q!=QcKJyKQ5t!tX@z80vyBczmAlXfYl`
zE9iu9`z3TCpT$dz=^u)uu)n6>a%3{r41Fonc8A=*-h3LbLwY(CM$a<sRm3gfzakgY
z{+yWhGRcX%or{l{rjV}iov$oGK?b&{;J%5vDFrtlJv(qFg%j*t1OEaI{Ea;DRMPtT
z5k(XC{@jp6c&J_(IxUXyE;z!({*NBn{^-ecq`P57@xvs8!vDiuqWG62ioZKTz8vpR
zoZ@_LN-sqwwWt$exb{KH)E{b!rz~xO{GtT%3%P*&5&`)+1~O(v4lA=P_wqCjc3trQ
zi8?6NSXN4QuuMewU(Yqzzox-{l?R(jf&JeRMH3YmHzZNbt-yXzGLM|~1fJ)Qp+7Po
z0{jhe>{L`uaa%Q$Pz`1tc`9`<hj@lEk1!G8UzBUGe@la%<iVyA&+|tVO%zXVNTQls
zJU23r)B^SwPX*Jix6W?c{AZIC2>-@h!tgK&!?T#fF^V}H*fMtJkrz-GrR-<9^G)t@
zXS_^B`1j-*@88pSpU>k>CH&8o(1f-^>y`I|p)&C&eqhmCuO8S1ksB9&FBj<lK%n27
z74&4Ck*IN)yHc8yYmczke&8~Xypeb&{5Rxc-9HlR4m0aw^h4Ni%aJT3BI56)K1v0V
zgP4_8rX&1!=Nj^tX~^&3A*WIizciv~qO@{D65HI;dRK;XvP?S+ohZZIVPr@nqPUo$
zhUMO;iEYAvC>Qs>LfrdfX30o_&0@-FJe-}z-%$s%n{q_S4wi`s{~vM<_G>iQzvaQE
z64k#RQ8ZChxgm*aZc+Uq%_TDNM3&~0>5t4ClYb%xACIajHYT}}e?%1UxztN3(z(c4
zxn@eje^Rbtf1QT?1Ri!OxqjS;qKR_N4M}|S%eBrpVf@hMhoW*WXoBosb2akC`b&nk
zwT~`WUCZEWh_k}KDi?$Qg&2GVb8V!S&LW5!j)+^--%Y*DF4u;f9X3-E{vEl7{Y@J7
zb9mUP<ocEoMHA(k8<P0umuqu&uM^XnABvJ|O>j`I^%o=8=7+?#ja-|e>HF<0$S)+$
z3ja_p27ikf+-0s6D%W~QQMrB<^)kC$8*)~znUe5-GS{%bO~ZZ#4?C4y|HO!*iE_;i
zNqlq5^+qm{{#xb|c^^rT@ZXzDkp7JX>0K-xBj-;sxjrHW(1)qpazYhD-_9^5jdz}M
z0rOn~<_{T|R5R@NMifn)Vcd}9K<*iKLs21jQFZr^mOI6@VL8O)h5zMT9Qt?S(BF@M
zeT47nhb#%pvFEa?_@7*O{|DjyJ;r;as>l-0Kv80x>?SIFXHsvaYRE^=3L2BbTNFew
z^Pcc~H1IP}HRX+!Q%4j{R0Z6SL^!u9*hs<xdBWY?P^h(IZ9aoUK=@D3B?<pUl5jDz
zcjOevpD-n|Lf%AOmD3<UO*<8sobY$$0^s`uzzqyQs#Wn>BZ?+Y1#U<poqH;5Bw=Z{
zWMU*limp!*mU~I6@Ipr};rbsEuKg@ABWKq*=~5!|>&K|Ga(<0N)y^;`DEyb^0^!)>
z0K)wYLaG^d--x1#GmIOOXy=__8%bF7jcA=cV(1P13U2SK2>m(4tgm%ahk~vH6mc0~
zBMA$?huQ2cw{UTXE`n*_*;*%Ic?T&Wyc&~B7d?t}(c4+U#3<x&tjb2Vj!e4XD9_em
zf?zh-`h&#QjU+54he@gxd)O?siBcXJNmzbQt^^;<wGx~_E5UE_N|4Gb{SCQjgrfM?
zFCmK2Uh9(>MQt9|Wqfv*@p;M5&*tLi1o88s@%ULpnv}>^?5i{wxfLsdx&?~~<F(yf
zV4Xr>eK{*w$(yRgEg8=;X>TRh9`I-<7fo!4?<dOpn#r}DhT@X2{PreF!qW8)bxS22
z8b@!T(g!>NPbM#}pJ$4MBdyET+bdoNS@__^0D%MTYGuKkPSakB%Jo`}dwY}-t<tGf
zyX5xclvU%TS>T4yV9IMmLSz~os1ogsWG9tgvnx6t@`WL-BH?i<hutG>olb9In5`Zr
z;GL5jlb<=Q!A7zZQBjjJGj=*O2kg<&42D7Ghs0Qs%*|<%MjFbMg`iyX4m4OJn5LC%
z;3ITR*AuoxaeYZ_1D#vD^x2sq8%)|!)UhzeX-?@3@}z#N?Ov-ZfOO1j6&V$yX+Sk*
zlG4XFs6WR)B#@(RO_0`_jbta;_DK=X=6d)x3-WGmBs)>BJ8w>D%dz7!lIrAST~~WG
zk0<lZ9=dX(lk?AmZJ+k+T_-v@7nOPoIKDa`T40!oX&W0|6xKY^bvrZE3N~pyPNj{&
zIozd@{?PuF8Pl9ZEZ%4^#187Q+!~Eb*=~!NsPLZ|L1X9^-=J|ip>a8*F|>lt=5Uz=
zF60wv=C|rIS>4=>6kU6tq<>l7*0r4HCt!K7m%tbPow;~$2Jzr_3GAqxCG!~s(&A;|
z@*C7eDT3K)*#R>d9Q5WI@R>B=B_41pp{tE3nz%*gh9t5>mBTRU{z1t^@fu>4@L!#a
zV`mY^Ude2TQJUckjalx8#bl!RdFr4P(5#fKcrp<jd*vGJV`;EI$Ae8Jo^KjaG*LXc
zA&Kf3;+f71kxA2HCqJNPFHGg`&`LFBY0I%s5UYg$v0NN`9C7SJ%!Xpcb1)Od7pQ|d
z#50tMf{6(Ki@65-cpB`V^I%hn=VwP0O%zXVNTQlsJU22?jLbxF%#&F1zn@DOo<PFz
zpUmMH$q%3IkDZC)G1OBj`(tFHU@F2ti-@J&N*H_fTpI7`sG2g2_Y^J~UZB=14+KMH
zj<NhHi{5(mz^YenT==D2pr1#eUz8Q}WSx<yahSVOnv-igM;dXvksr8B6t@!3gnx4`
z);)<>cO$bdMn8n-MULbV5fR@<eUu6!2Qe$HOh@<&xrTf`4f!4(a;o+5t`S8OrIj0!
z*yfhjAH+-)FDJGk3ui9w3F6)Z%#x7;n`M6xlZoOD)WPhgTsRX26G7(9T!WpY!Tt;n
zHkGKpc0|!cQRRjts<}n=hcpw#?-OT{&oUQ-FCYg07IST+G-tW7uM@}1?UuDM9->}K
zk<LZVs$ixh{7>f^_JuU;Pw}u*$@L$ND4HnO+>pdKzg+7>QFBIRei(B4m}x()2@Y(k
zb7hmz4AxXL^xJya{qGWIh5v847<>^i_?yhNLgiWyDJs_|KRK6N8*)~znUe4)h+yX3
z#}p0wL{v?=`#5ey(L}lCh9tiE<yxP<8~HFl6eZW1;GkUVFB#gFJfH7hoTsj3@D}2%
z@Mm)|c$yeI&0H%~uJw?ja(xx`GP}Mu<m|ASlJKv|HSDL+u&?A{r_$G#k0_cb*W8fA
zH@94GWTIHpOcYBbLBjWP3DOJ+QiY{s<oqcnQv}Z*YXBXhZp#T(41GJpn6&U;m<yOW
z0_Fe%lWK+qBZ?-@Fm6b4ApZ<o%Xp|vhEpUOYG9pN%L}nejMlOVD_lQEQYHL1=Mt_h
zBwP=&#EhJE<J^vo%(eGYXXRWQhpGjE2@3yxxj@)TAiRe`NHxRWIihId4C96*+PP;~
zad}uGJo${}NpWph4l#MWNsx;}+lWJdHUjn$-rXOvTrXcIpmF6P7v2{W-d|?CN2-N<
zxmhB@_dnE4sSxtfvx3H?gn#V$pqP1^b}0?~zj@%PRKb6aD4M7WxFLyfZdI_6>t%SZ
zmy1XQg#XlBlJFxW2?AA9WP;6~mnAX{o=#nr(;z=hI~ACm@Sl+jfXfJgOBsMvQ(@bP
zqKQ+18<I%poeCS7C^B7Bj>KzkWTFtaaMCEc$#8G4(&{#vcy$%8tm0)-zGhadbSspz
zBlVM%nYJqCx<Skn^=|UvwMiDC^v&83x4P&aQbNLiK`veN4AMn=S;55EBjH$;jg$qM
zbiuGY?wc#UZhP~L*t}Sy|E;wvEsy>ZRNLJy{RMA4%O7x!Z^;Yz+r6Fc=7|Eb#zY*R
z8*KeSV(UgGiflKmhRxDPS|*A>t_1hyS_!V8m0+1yf>c(iFBgr_t&?@h)DX7pe~>d#
zyh`%(6}k9%HSzOh<MFeIToGY*`9DX4ksGlhs9Q6L2@C({bAfd&f%WFBU?p#=61QYL
z%cQ-PTzkOZmRvNkA-+T=uhb>ib{dMwMA7e+O0dtpZe!Ui#igRqAIC^XVMy4N6axne
zTQYV-5(qyUe~L>(8bI^?lXdGh1cPr>em08?=^K>~vGm|Z<pnrjkKU-%4QZrogXxMx
zI*GpPb{oo76Pvx01pAM<YcckHIMy`Fe57U53@XAq=VsftsMFbJdlGd!+nKQNza0T(
z=*ne4xsE{j27@xRg1&<G&m)Q^PC{--qCb>fx}ms9*esRWotoE)oq_yC3ssJ6FtUDx
zf9}qBI(6%Dvu=~At*6`x+@ckKo^R)huxJlw%6>c{5B{BlN_>M^#LTx4F1EG)=(37(
z_L+7)3DsHLsgX17nHg@3(p-pTlQYepK>*5WHa2NH$CxT^B4^=_nPWE+98YIBhO@IG
z*?Gx`qKR{i8<M!^onw2KkE4`JRjhSO?apfKOw%6|CL3gM>Y8@D=~Y_O;#sZA0{OYx
z9Z_op^6$h(L&Huu<izN<SIYa#>RSWVK&sK|PCKqM=Og*fpn4m@O0%-+)x^QN*Fv_R
zm3F7wXf1&pt^}5Y%JNFnD+i4idgX4rT&;W6{pElfs<vCT24#LSt?WU^P^YonTNbjO
zpn7O!vE4C!Zd5BxK@>24MIjIs`cAaH8X6AMFUtf{WzH>B=4?~c<YKd3!O*DDdSj{X
z1xQsyd1uH$s8UYJJg(#<!~#<Zysqp|w_fRrhIAfMew0?wfK~(oNW3E%$9?Rsu6XE7
zb(wLDV+mqVEK88oikg<`RwywQ!V|mIy4WJ>Ugf|lI@#sqSHMD4R#rM~0EO1XV#h;z
ztX6eZR;An~Xp-PvM7LU1&lxOyn~fH^Juzr`u0l=LD*=XYvT9v>^X?hs*jeQ4P4jcl
zxKvT>cunAQz$<&54*FmrjHkNL12?*fWaqakvLq#x7=}k#)}z#tN9>VFp*ZOmv4Y3I
zL+I8!UQlm0Yl1)lW-K}u5JILwj9FN<yjf+ZFYyg|ZM>RXEUX6W!^YFIqZDUq>W?76
zna|=@8`yZdSgE8JoRjrWb`{_?XCaGL(>C5ctfUfbJl&A#qS2(WHr_yS=u4uXedW1{
zRPFP*YcVTN*oWJ{)>(Q;n&M{2D5WK_wE<rDQ@7>vQwVtjoX?bn|6>tchOQ`P3ED-t
z{3zoxw1T$2UL+w5c{Fwvshy*^z24$hY&#Y}ZUTWwxd6PG0DRqe03J9p>roWy_gJWp
zRF5oExHEWIEEiL5A*Q@*Jf^(z=vk|yjQXf$)X~&S%RKI&@IRi5dAAbtK0F@tR@U3L
ziL&TRmPPB|7t09lhVcJ77b9*XM*QV?jJUO6i!X}vzgnCNZ_2{Rt>Dg4E*PIfFn)79
z821p2MVq-%EGM2~Oq8{0&jQL#3I7yoF>{#Q?F8t_sG9ONQ=HB6;{@o@VBlN(-hYb4
z|ETDmWf%8M_!s12*KT6h`B~YO?59Zda<DBcZT#fg!`=CNYsZq8gErOWW@W)^CioPo
zfKUbWUM7cYF+?Wh@Nj!jt~EL<m2RE3BD=dCxG<*0PV645T{vO{e^HJA-6d>bLj>9j
zK1%ae2F`+===?4@I1s`=^guubUXo^|>LJ>QcH(-ktqOo_#8M@aH<BNQcEkAQ?A@iG
zB;XA&(?UZat4Oi#ah<47&xyJu6h6o}BT7qZy7~SoE-I1D?oC;QTW@x+W3k3&cQcTP
zInWpo65D9{Dwsahj;kn#%D36v?V*`>4R>+$ruRB$)0<|`OHgWVA~-}ROOGxpb?Uj?
z_ZHQH)k{oV_<jVPp*vZF&YgtLBBL|3g5LU8C6J-5@0G4VWuK=}uwG)p8ke#KiHQpT
zfm|Rxmq5C2Jdkb=fs|br#b}}kaQ!uFVt!3XTjsoxxFY;F<YLZVV$R|5m~-8j8r{|B
z)|TlPN_M_5au)daN#Ng`3;5>~@bAhBe6rF`G-+5zNe!M{d$>u{{~%nx?T*|$v|Enn
zSkSov`KO)F0`B|8MpGV>WLOcP|3L|k?xjR($}5e9@>=PiMoDu(0n-DgC)FMt`Q!jM
z-HlH4NB&?U>8nqVa7PY!zW-<!1S7WWmj8<^GOI0>&$6__QhB$rR2~uhH$#7<bsQRk
zFwbtay?~U<L+O=EOhClmFX6zrRO+-3;zSciV?no34S43;vkYmi(vg$LN3mPfiH1Ne
zoKxyrW?J$~IM@NGGfR0I2t)A>egx-QI<ry+@U*goV`!`6OKL(A(34(LkAFEK{;;^c
z!jJQ?0*jKxJ_GM4;P4Ros4QPSrJai2Jl)nId$r5wZNZ9HZ7i<xs8tR9I@{FbVz1ep
z6fYK&b^JLksp9P)kh%d!sGVKyCH!Ax)N;pDY2rw<#ix>*9L_UwluJjWq$Q(W7E^da
zsBr-5Pn}oqL!0~fFc({^06S5<FjR{SYMP$ups@xXzM)&Z7rP_CKfqT~?>Fq)rR#{r
zUJFg&Ser_#iXCqW(&2S*Doc-PXcG2DiY|aB%>#i`OB`{7^tOBS@3JE8eOmy_k}+py
ziE^g9Q)%L`9jCms5|PA$3pjQKEqUl&Y1Q~=EJpTM){^e_arYWXyKE%9wLEjM9j&oX
z3r{z@(_^LmKM`Fpe9NKYcfO~U_SM9h(U1<Ay0$z00*FCFQQxvFw=yZW@A9xlZb|o^
z0xc%ziIuB63RE|7_oQ+to3&6ipn23Onw)B;1gBClN@ifzKY#6{L(l59Y{J+!{!=D-
z8+bnbk=Y+!p*eLfs>WUxj>I+~vZpK;d|og}r(_p-362eJ*hc-9PM%`uTV$BD@Gr@Q
zOqGzCXJm%!TNPk8D?tpoc%D<Z9T7$EMvLC_#&7K5``<)n%ft7-8HNk~0X>4hPh0)(
zb9=&nb}mS31nKo-LAv+!V<9d_nR?5m+}2RFz53_^NU7fWeq-JGWhHh!8-;W)L?%Z4
zP16skhpJ9st6Z-Q#{mo5OE&ZNN9qn$JN2Jct*IDoirgGx?AxXgqdlr@%s7U6kc?a0
zqX~WwPw<fzT7O&ijYm}by@C*vYeybxcBNoK!hcmJ4(zH=)-R}^fAbQJ`sF<8p)Avf
z0WXyRg;t6i3bk__XX^C@5!P~B7(EOAFA(a&e_Jl_>jeH=vVxy1&WY|+=CYLS<l2rq
zRoVl|MH3rh!$X>6$+ew^9v>r4&2`^UTaoi0B1XztxxW3dBE?-mCg)rt<&#K#D!oWa
z1|;(;k<)B^%MEREZHLn_-n#xL;RCKWww3Gc<@S=-@*3TQ`xW)ZYycMw1&(*=S^#`W
zoyMVzfd{UuK0;7BVVrK@hC}zDhuaghE~#j2zCxg#`EY9K!+p4$=9HOWb_V?`#~YfY
z7k0s%9Y<2DwlktY+C`Js=l{qeP1<+<Z!AafoySJqM=(@OvF&E61*xUh+)dz6u`<i{
zeiHa^az|s9?eHbWmk;g%6Yu1#xwJS+=bQ_S(m86nX!Q~IPWVrtPG;VtFB5wni>fJO
z*3KMJG*KUMLsAZg3XV2p;`GrkmP*pqieMnjcJdjM7ajRl<ROCcc+0axb!taGZK}i(
zM5+>bzNu111?8Lx&?TTGssp;_)`Ghor+m&E)`nI>k559+Dg{<XS7i|;t&FZ<$$&Dt
z7(U^woUk3pR~<r3?Yr_nRLYEcYLWb3#$6w&o^H>ep0db_qiOD;K}hpvEn2fmgBue5
zz6fYT_ZSAW6$0%A4BF5NdM-b2MA1a0!3|073}vToNGgrwqKOSX_$Z9%d1sRvOs?%%
zOBbERUQKtKwfC#X(b;CN6?8kjDpEgrwQ^gY1v;?}0rXI?Lh%K-Wy*?*($2Y+I6{&%
zlYT!sGM&h*;b)O$M1)62ZG2!*MF?d%@IadG9EJ{NcB{igTsTGb4x2`*I&IjgCJx_J
zO{T|}Ob+7iGGE2qg|j$PdGeq#m=^j6zEvuV;q(ocTRYxz`vA;9zS?SIHmHm0HdejT
zVVZm-XwUQbdMdu*w9!KWO$~b58%odgF@|2aV?#*kCy!mVC4b}NM}3-^Vg3`BBn3LM
z4j5D2Rks!TO&&StY=jBOHb`XLkhYN6(J7|3h;?|R5uJ$RJ<;fj5^&-xd4z83*`p2z
zNo0@7qhn|8rMiu)BZNr+$BZZ=(wf}F#K0<lLs4`8@at~9@fiM(R)R=a&f}9>(QEwK
zt}f9E$S$wEzP~n$*4OL%|6(PM^?m;TwRgR-a#U5kukCC5Ui)6#2Sxt0Fceza$NN_b
z2|O(R0h;173!x|_<+;r6&c2!H?#{9^+xMRQElsfvV+>&v6BQB-@k>=gDxw%dBq8yG
zMh%kS2V?xAMv)I14GBX0opa~Tot^IN|4KD}==ANKx%Zy?yXT&J?!D)p6A?&l2{ToD
z7kMF<spigS_6KQ_dWwl|FtgX6J{{6llI$k2+Hla+%iI1++u-uO6b`$jXzg0o_E*x%
z(n9*Wm9yi4Jgip^V^X%!$#+v}6qT{#nj|t=!ggGNlCNit_-oqa7?H7lvtXUfE643>
z;xRQ+c$~f*WBlgIR$!ZPMvl`fBI8s_|0pA?%KVm}Vkl9$osUA7M&S$XjY5A86Kub<
z7=dfJ;bXr=<O|KZuhl4(nrlEL=@?E;J1tbHtAx{=j8oGLQq%pVfHbOr`l<dZZE*zO
zQ3&?CCIuo_qS^0u1>#Wx@z1@1IM+utHICq_s}&FSvl;~-*Pz*hR8hx!L5l?60J65Z
z7u1Lc_ltH(K`ada>a~3FuDOCANA6OET)%2ipmE`vy|pXQmI$<qdjoA=%wkPu#*U}0
z$h^o{Mr{(WXi=R2f5vb5or3TN!cMdIb_L-wK{(A2Hqg}Sw}?9lj1yaf#d&H!5i4ed
zUP@IUaDkeApeqm_A`ot45ZammKGovW#H|jlNTA);R!5^zeprt0Bt@%Zer=*=UEaJh
z$*rwEQ~gw=4$|x+UG>w$)K3cxeoJP(slyF}7zmMl!AFT!!K*zKsvzL<H2d+cAb6A@
zc$gt*i&d9fe45CrT#>-K16ED`G_fMqzJ!*VoIA4p_not~uS01Vk9EBN((yQ<9TvF@
z5#4=>U9A2eyqP`RV9!N(mu>$_yqF5>S7KdV%0AP{z>zyBFYq|P4oaitR<vVVtjy{@
z#ZaVjquO3m77kY&kI^VT%_KDtWcB+ae!s3rvkX&<vR@J9Lag<x1|{RTa4f1~=rk2s
zAv(thonJ6IO*6>#*v|xzb?dQSuS&<j`jY~y*OC=TTqqVzU4irjf%J#oKsskPq(d${
zCpV=7u00pjtIk=qgB6tl`mf{F+;Qrh4|?mIJ9^wQk8PJLg{E&8r=|4h51~r%+LsCJ
zFX;;V6NLR1WNmXLEu=@X+)h+nSWF2ao}BwE#U=UE#EN(yPwb{A=Z;h)4oH(fO|0l4
zI*A?R<JIKck&0I0)Aj~OVwKBO<r`z7oah0tzcDx@opi)OZcR5YoUfS|&DX+LP{R1W
zCth8QSC`J$K%9BCshK+kS!~98U?ohccSv(>Z0=&x+hvZ+1b_UXyx59+jJFwOqePBq
zmo;39yptS=)8Xsq%9!{KSFU$D$)ZF`POx>RBevcRe9~bKZqQS!&>$sZj~sN0MsP<T
z$J&NY=ilyh<hm~T8_op{!&$Ph+!MaB;kkFww6bROSh_NdbLlF#7>CIgoD7wWMLrrA
zwtUc{{-bp&1S<l;a)?LDydu?NoQG<~mq{>4D4Vmyi0Jsc*zbWMdp(w_$T}{_I@S?c
z)Ul6-Ik;n=uJ72>_uwE~bW<=EDq0nh;NWFiTnZ@YFbxp?hJ&zh<%)6Ca;h%(mX^`U
zB{O#WU|s;87^Y1bx0-R;1+&NB(0yR^ww{6Iz%+bYIg8Wbg<kd?Es76J3XGhE+rn^{
zU2;m372Lvgih{t9G5)J)Rz3K%=)tdq{m}_yJwuEoyRvR*et$ns{w-Lg=<sYkq3I#y
zVh0wzMS#L&Lq`|5Sx6o-nOk(Ka1tH3gXV#mcM9kk0$y|}uR_EK4Xia(Zn_(7!IO2~
zs)XF}z%Bb8KtVc<e0T#F2D-x`vxq{GO65v>-5LK&=Lz*nGdO=pLXSTiW0uI3pw$Gp
z6dNmV*{52-XN%vC<!rjj;R``j7dUIi-`##UhTPprrUvb5stSbC^{a`4VDs%uQ^ay1
zi_S`98oUXKwtqq(Y4&R!VI{Bbd_6|Zd^p=*!_1!EqwUiU&rE20CbaA3#i&YOM`?Q}
zwCg9d8=y{zwQ<|uhm>;{|C~E4xns?OSu{(hOvhhSUiM6<R5KrZgw>b(gWE^X#+sle
z{LuhVA%H_P<H;dG_U{CgzwHXjZ^h_PP#$doC1E?E?VZ=I(n=1zjUaRZe0<O(6qQYw
zeGv13CNvgL26os&xfP$)xI)=8A64}suH4ao>A9nyuLoESH-CgD|H)wTk0`+6h1B`Z
zQh!4&CtxMgD<Z{?hpM4on3Q^9c6kzWx~R~}Pm0OKjno;<6>5`0O%^%|hPcYrL?37M
zwTV7{!QC<{2iZIdb57ak4c~<wVsF~XGGmnfYkSd7irD%v2P<Ny>lLvt&_oDRNb;;H
zRKf{uk?y{f==V_suE5kTVu^6T+-w!r07VK0VtGP=Myw5|iqIm#iUkXeGR!Su3J-hB
zZ~&j{Y7|bF3!Juwt?oqK`7ZIR1gs7B0*C&E-Fc_#m8)JFwlKJ#r0s&8F0>iAsu_ou
zP)LA93zoRB#tq~HqG!NjlA>p130x8xq5!hmr2_C@0Qi(Jq?CtYwA67*_?OoXL%;F7
z<q1GvEW@;Q0%o=q3!Y`ZNMTGSv^@NZ&Cg2H&%5~JS)?M+iU`qCf%}`BaGR5Ns)$Jg
zYKqi#<PFt@ItNXw0P9@wH9~t-JY3YuQCMa&dAwCrJF6YEidI4A21$}KRm5*$b6u$F
zhNmOEb1v#&$*pEhQVJ_@z=J4qsEoIBh}|-J21@|)jxzz(GG{Dl1xMV+K;WF<W&{Ou
z!D~chk;EK~G<{aPlY4^{f7@l>KMEIa6~r~F0(w^73f%(j2VS#U3U|yvYtS7i0iRVX
zXg2Gx3@W35P&@2cNUtpO;Ef)FU(}cz<RDLat@wAZ;NLx6@$U=7zmv$?kaz2jybrw%
z*6p1^$HO}rU9so5)?em4k63eD>ya_Xwf?c?CwuK_$-uoAq*(ocVD<f7vHFX|>Yr|p
z)qSvf4^p(hOnTn1XpaoqPxid2>)w%k*+U76A?F1{9`1@E&k#f2o5YZ@gU`7>iah~A
zxQ4PzM7~(z^|cy>6W5^G<*smgiEt_~PRVP?$WFW^AgwzBee(QJK;p=sP{^Mz6sk^R
z;^6e7t4{j?b=vXXI_=}V%!hHPzoDS+ty~2V7YWB4T><nm0ra)r0J^ES`Cgry*k=?v
zJrt^-;qo;5rLLg)AwlzEr_iWHy*wL}2Vsc^ZY)`Z1WwK!ku3MLpeeB;7WG2+Xse=6
zbXyTCIYOUrtD^B(2i0l({&N)F5&kr=?m{Hc1*`$fu81p2i`Dy_DlhwkfS=2}EF`lq
ztkv)X%fTbYmD;@)&dl^M#3NQ^v?QhFA`*j;p-9{_GlLyS%0@d0k+m*J$cS@CNr)y0
zx$^9*Z<i#}D`)*CUnu7N8-ar0&M|D7PCnt@?~jOi-{JmiV9r#J@3Hd(LL~?M$3JR{
zWJi7UgeZPkdkyo$ApO_&PMX|(|1t5y0J63?nw17zA2RDC^ID>e;fe&~bv5*pGbL8Z
zy9a9b%M7=}4_%A}RImw%gM?tCa7v`?6936Nq5B@%Ubh9ZeOB8pwuZJpvU|9PLV~TX
z9!rVtll52>ZL*<=fW`lhQKO!h7=@#c4;HR%F@9Q~AiYY%P_e3FcK-swV%UP6#7=Cm
z#jfmY)NAZXs@F~S^l8IfmA}i}=C87HduoPMOZ;`gc&LcOin`wsyPZ|aZf9<_kCBi^
zsA`;@=W25U{w2l|d?|Q{c_&lTndNi|+vxDbXdfU^wZZj2*6=GUhi}Yn_#jHCBu{Eh
z{u&oEdKMNRSCJ*rfIph8BJ4!TO9$yGe}haxJPf0j^4GzFf=nXZn!h>cWXV3moyu1n
zL~AbPYW|wf>xC)|hn}egCy={S{t)@|f+KUMg8V~lSmYt_IDV`b)ud7O5&RquepV|5
z{2K9`Y&xT7kI-9GHwe10x$2MQ9mm6ttr2+%v_@QDMasbv?U@sPqqOTzq0Ea#WOY&G
zWg-QR<T)ix#y;sR4&Ypnj2eRsVZw$$j1_PgQmD<X^oLD2wND2>2mQ^)k_D__PgQkQ
z>R`^uR2NX*=%QXJ0V{k_G4vu*hCDc(FsM<rlm4hxqB8>Yw?lRiHGin;<tJ~PbS?b7
zwf?0D>kYr~r5xh10cRpL>%lfG5Ui?{K`y1{Z;QQ&6=8c|Ab*s@g-2+RxwqE8h-LOS
zQ5#$Ug&^O2K2Y;V3VLawsxKHoJZIGWl}4#XBM(75a_R8c4g2`OVGRdBCya)yTpCkB
z-dd`eYy45Yia7Kt$zKUZ_D6EnVj1p60>%TdoM3_H5MQ7`1#aXNpj&dO`&CleHL5u$
zy;LNY+Jv#<z;j77Cvyo#*-;D5OqfMC!kq+%en&$Prk$u<D+h#mmA?UvK@0;5Y=C2I
za82-88Zl$gIN0l5M1P?Y%q#3SDsXv$E?-~K7p3cIV$sbss=zs=1u$X(=O$k5Gb?`o
zk3oO5Y?Rf&r{-*+lnnV@q2b|crstL2+3D%U#l<Ocq(0?T7N&E?(P@0?PS^Y`l!Hk@
zj<jbK(NP{cW*yQecg$Q5WJfFcY^)keQPpgf)p&4{?M_*Sm*;9suUJ48L!O?&D9U+e
zZEl^v4Ln)InO878L%Ef9aUNyVPWhYM<&uYp@}{+57Vr=JySm^I>u+$2dd0&+1moHT
zP#5rT@iR>aJ^{4bveIvh7;iwCAw=#Y)iSCWg;4S=5BLi?a0=YxWUW#jJRk+b7>No9
z#`^Cz8CZqnFjkjQmuVOtO52jf@z{~HQN)Q=TF>QRXh@>sq`%529j(C>&tE4*1jZ!T
z3+GcDlQ8Y+l?4ML2h6aUEYMIBBqdykA)25I$?T8SrIJkNWR#W<f2^Tlk)w2T8|*VS
z=&rw(UW&9`Vg}e|zp-Y;3j1|D%=gXr?CYSF+0*o}=#i(#_vmq&9^^O3{v$o?K|B`d
z@lAR>M~^WoX(K&urpJx+c#<B+>G3K(UZKb9uwS)bqsPe+JWkN#u}ye9OpjOS#mn@#
ze+M4-(PQ0CJO=5pf*v1G+9x4@?0q!r`$N<$KEy*~MZ->VyHe)+DQ;4Vo0H<Eq_`O=
zZbFL5Pci8!COgF>r<mLnlbT{OQ%qut$xAV5DJCn$B&C>~RMi{<0hl*;+PBmEx>Epq
zv-zHRj8Qc|6p-E!LRz4|7}6K%FNXB5gfK%|BwQKN=jktobPHj~klsRnF{G#HFNXA|
z^cO?=8~TeOeToofNS`2t8B#JL7LcY1O@@?=@)%N9gR1^WbSyH1jbtsd{skw3xkL(y
zT=|{g*l3FQ4t$KUTg*6xaCq~l7se99uZQYN9Fnzirm?#6F?&`#l7(C1Wd(0m_`{eG
z*f|o-d<Y6vpg=Ha1C)Zbw^Ga&q(1}Bv7bPn%?-FGYIj4l!QueI5(CS{oJ19yLr@8p
zahzL}sY*>5gbqsE<Kd3Ef9-8BU?3-cuxfzhw9o`i3~P<Jl~*tnCd{a87bb+TR-0~>
z2fpZ~VhD%yQ!zWaw~6ICSbb{tTQqz!O;(b`#kxNjXe<N%Y8qvbx_6}Z-$`18RR17{
zNxz$0O<Q4a5*>9$<w(!y{#ZD_N&pE~``7qf+MC5;41Uk}QyeXbR5^(vR)7J1bTCgx
z@Zp4!izD;T7VRYM^|R3a|K8%evyiagMUDnI3`iWP-Rr}4vzT9Rm9m9u4)eCNKoWi!
RTUibV>VY~y{a4LQ{TsJEY25$-

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/profiler_example.doctree b/docs/0.10.3/doctrees/profiler_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..0acc27a8a0aeb78cf7444161109edfaf68240f73
GIT binary patch
literal 47461
zcmeHw4~!h=bss7Iz2$$3Vg=_UPfoG5ce>jnB`a`PQL#*kl1%eRi<HfnW%g!w=Wb>=
zJF}XZy+2auSPAS%@gP9!bzD1kk=jVx0Br&XNCG=X0jFu3KR}8!b&RBOVatdc7)Id&
zt(&w4+~0fOpPAX4-P_%}qiE|6Aa{4>`}4l{z4yNN-uJ%ueQ?jm-v9X>{FfYwTDIe_
zRLn-h4;og~N%l8_db?@)ap$9*$(K8~I^|?6G?$~G9oDT*vI8aRw&OKI%kSL4%fnPY
zcD$$}8yIVup}82EEnBx>?@6Nh_d3?H5!+5=_(5#dg5ahR_{P&t{7k!MJZ8snD>^ef
zyXeGryH=?O&Dpxya$?g9d}}sr*PMFb&&Hu;%{EQPpH*!{v#l^#a6BulS}SI=<yjTK
z<~jb&$LFgZdmkXQ$1nhE!2-Y-fEtv&$39H2@pkuBYlTLejQ0bv^Pvu717qo5F4+qN
z5dQ4r$yilm)83Wrl}MaRb^}7IGuN(}Ny&`k(5ba!AfJ%E%V|VFY_hNJnNfs?_`b(C
zo8sI4M!S{%sG0Sf7#f$^O^??bL$Vje+o97*-m~cl@3fPBvAM`#*hlSg`(V2U?Cy=t
zaM4Ps3HZCZ71Pa=Z5u$LJpq)BFM-@<h}>orsmuiaj3BR$Y5y3e{;jIqTC&vT$|yI5
zatd+wY}-C%pH51eq#B(IJH==%-Mwnwmer|F$-Y0iGW&dFh0*NI$hXYeZ2fc<)azRH
zIGVk5r5akTAew#BjLplEre{Gu(X1ewUWDGU-+bXN0I<ux&)x-;???{W&Z6z%U+kIw
zVwU9hGRZ3>bwdfVr1HsbA3O)DTL_5dUrmk>wE~NFXhnA5H9Ehz|NG+aXK7&1sLt*C
z?WY0EPM-IDVBwq?0mrS={n$#=I}^1`k~8~T=*$Y2tPXYYzOF9ziY_8x&I$ZABP5>R
z6Fae&<@e;ol{jqI<928@429rGkj=>+FE!8GO+avyFl^sHXTO;^x9?;-D83+yGfu_;
z@HHV$*TsWfv+HWm**1=#jRUHU<ik@_L@9<4e~!O6HD$~gQxLDQZPC-Z6-7p{V31gJ
zd=xNDqk$Tc6&t4CFzSKl5&rNZip|)GVyA9;Mi3f~kC|`cQQ+f2)NVG-(6J)JtOf1Z
zh)k!U8mdfb8M`-%!yrd($?>%yDs&&t!=4IP(8##`%HW9pFpB>i5OXrwh2f{|h@bQ_
z+ZO0zztwEnX5>T}s!3jWeeedTgWEh|DTWx+pUz^ZKS}?J!1TI8j_Lgb3N!8IX!f&L
zL7Iy73|`<sY?0Hjm}s+-&j4Pak2s4yxHS%pMa#EBGq#K=qG3t(Ry1WSIVM-mH#==C
z+fLm^>x)(tM}`Hp!V19wOn0JZP`YVc1}m5mKRzE~1+7SeKAD``1YlEaZ%%W->gTdE
zW`9b{gCkvtQJi)thp!YMp8hXn8(V++KgW#rp3TR(mb1wgG~SK0!6^7-AqAg5*A7X!
z^H!%d$x1?w+O1X)g4VpiY>-qXIlKTN8!Xc=(oyk~<Z5(AP0nUDr}1Zh8DRhU;Ij&)
zg!%Q}%xK4w1GP5RhPdisQOJl%v3|2cO>e4BY&A2lll!0WSHZNN)5M#GQ9gI&z0<~3
z`p=5%l}RyZy@J`_VrAsyy4BLbeG5>2d-%b<3Dy2~y%qbLDD(}{Hem!Sy#3!ba~*is
zl}mF*P$N~XYZ&g%ojZ2Ok>rYLutkY+cNY~LSc6bA^CN)k`x^p&_Y+HD&<*vyDb(V9
z3NF7Ici%J;xa0P?dlEG_1o6JhX81xIMg!wjQ;a*C0<DXraP!-7_w-0`-v_v7HVSu%
zEJ@~csaK|;pHD&0mP(=L0^{y8BSC*Zpnr0s(BCW9!YdYOdu)d+(2`i{nug>b^e8CG
zo$UQS9j!^j9CxcDjrPr`d3~hO_7?rgULo^3$<7%zIle9>BMFbSn#{K^!I{7ko|jiB
zD<t);hFBF+UBvVaDAo10N2-ffv!O~u0f&XtaOyF)f+fX?NyjcLedgU}&4O2Bl2!O6
zD_kXoz1{SUay?qY)6lqSt<Ef&UfVLtB%UVGeh^v)w3%hg^XQXcBXxh7G^~tPKMkcG
z$`MM?8s)c}HRwh#6?};OXxe~}!GkRTkA#riYF^)1gHDO{mLS%bMk3Z9Eu^3KUnNJF
z^jKkjFkc>d#7x*%EvxP<kS*q|^8CQCQf4a?TfEu=p+J?ugzGmj_@H4x(GUtOEQ_t|
zBE`)|1a4j(2{#X9aI;bCcoGY?r50?ZskrJvGWHytD<N6CikdS|(&7A?7|v&h8V-zo
z_g8fd)~99x%?KmvZst)mqt}q+%a?qM*p!&I6*{oWSB+LXgwqK0AfIc|10N*WO)s>a
z`b`iLBmhLr!Yb?{&=_dX@wpu-A}R(GWF7LVW*O}WUP6ya%!CVI^+i%(Q||%#2JxYB
zlp{gZuwpBeJ_ccS2~ib6WVO9UcZ<fNvt;=Sa!s#4q@zn|>x+W6zMv^(5J!?y1J7h=
zEJqZNJ&TD1`k4aAgUCeA>kusl_}6TEu>;4rq2C%oi<~>D9kQ`T(joq_7~&s}G{nd9
zLwrr~u43j?9lta+bvd-+cy(&(jBy?-FRU&aX&AJ9EW$*Z3)rs!Vb;MVp3(B)Q^aCM
zt1ekCqBMM&VGOrILz19oH21#}{JeMY3kry&l=i74$X)?N-llfHHq_wZzjD8d8kp0Q
z$y1v%8a*GI)u4niYrOQ<q@=H##o*(p`IkJp{>}v$U+!OMysfpresOB*T+oDPIHnoD
z0t3@CSpq?a0vSvj*gpYzH-jZeLWm<1#&#pCZz+8zY(olSFJ;>BNWUUKQq8Pk;Uwj2
z8bYyQtzadF@<aTgbRvV7+^jN`(#p=e*3!y>47iF|_Q?TsQOjPcKCn?p)UpdTm|A}J
z^~OX>XRkXb5-(Xy4o0CriJITv1PXn})D+oGrsuq9);x>I^in%+fh@7sx)F9dv74b^
zvn0Zf3fTZLmSx9k2s%mW>cIlKI@;ZdBCdnkzPl)FdT0upR1|h<=s~0;F??Oj1ob@p
z9KHiJ-@-6&Ov*eyHFX|_8qM7tyvC3q=@ep~+9CO(VKkY>0*dj{VUPt!`y}D&8Z-Iq
zhMME4E!*h=v|lx+CVe*n+cnu&x)9hOAtX*NsmXqHq*15+CnGi>VHkeepFqtEqfUEo
z>ENzH9Jnu%Ou){gas$vxrgZ$Q{&nr=P>^;CQuTnDJF@~vy-O$^q`Sw<fzb@280vAe
z8Tio7p-4B<V$f0?zwWiM|6$C}FM3#_yec^lqWO7le14wPcKwJ<L26g%)mo!pQxy>u
zSQ%+qgFgZ0C9Qrf3;JSeKCpqQ7R%Hz5C+T9tW@f!*-c<zGsX!rz5?-}0)TU{={}WN
zo9&eJv5ZrM#$lOoOh``$yUZ0ZurH>Krn!RuEE8XsuqSE436ois%TS?q(_CbTQvAl`
zt#ollhO-7%?OyI`V}0(TUU{+J!xNVQOg`uj*$|3EXLQ)krldzk<B$}Z8Pf(ED#FEB
zvJc7`k!yCR;b=E)E17sO%PlEnwAtnU`Y;%B|0R_cWK%eS?nko)+<%2%+EzH6X95LW
zDdmhV(0*@2pxw)sdVvH;dr5kiDZqMuG$SGVPd7B81&Dy#AgeO?xm`W3i|wIl=j$87
zGznXY=`EJfscLxp`Ygb9?}a~WxSm7JqUAn$+j%TfYy7TcI}-m14-30;u_NHzBx&lT
zZkEw1Ys9(Vqp2Qu|L-s}PH|^!i$9eg(pYjx3f5{32Jg*`c)j+yy*qYHWF_gu8RMmr
zfxn4}V=SX8X)Ji^`0=!OA=d0FJbr$hdjZ{{$5VviRB6kh%DMz9Es!fmwnx>RKJVMU
zgDt`;6)UQ)_b|A`TBu03sFGQaZZVy3aLRrWB^uE7edhVC>C!|hy7A&V4_RP@u_6ag
zv5%R0^ossO<$})Am+Xxws!H21i$O@+0eFq5Sx>;pRfDi$g+;aGEa4ToyUG~gWTslG
za-l#v3T{%=tVYg@G!i|%^p5@}c)r%4Q@m8K*;|t78`#WrpEkqgs_b)F0|=E8^CHIp
zP$n7esxQon`bwWEk|~aof(Iei$TUOK*X0arY!E~@y6Qv0q@pyyX+eo=N|-C_m4IrB
zA{jbXAWkTKwa4oyZZxc=9xow7;s7DlO}x*~7mvK=_=3YCyypogWaWpa3tA0CM5%HN
zXjjQ@yuQ#j;WP8N(%R0^lN@huHg4s9O)SBqR#TnUZ8J-b44JvKh)`JG4<*MNijrYn
zE`m=?G&9WFneJUnF;Y7CJXbInQmFK%ZzXkzvH)b!L}M6rClZ9W7GDp7%pNRYEb9J2
zm^Z!Ofwb_lphvC>^6K*z)Yb1T%XH@X-rXaL8)OzNRIM-!`t=2UVu5y>>Q>dWmMl+o
zoTG?tB4ej)-&u!oh|nn%5xlHh6O?wVgg9*q=Rdi<cx^9U+l!YOZ!cbuixb<67p)HB
zZ(@7#x^ovVZRD}5s<eyThP~a3@`#ALALXQZ_iWz0(;G>NMF9e^O=Yl=FjVK~;d`e2
zRCtud%BliLqzQ{%D|Sj_D_!oBb0Y`~L8KDY(X@Dk@Pa4}n?F(1UB=N;{2svHOJm9G
zgyx-42Qm;Ve;OSzqA{ecGxC14tD)X#gvGD?eAGMp`Oa?=KJ<hpo7G|gjs|mP&^AxT
znXw6RNeNJeW0lf%WQ7^$fr{4Hk?f|ejWuuFF<@GIN_Ss3Zs=%u@k1kyC-WlDOMVJ*
z!ZO6n$2i7^BYf(NU9z7}ueHrZoE{S=*m7Jl?!JrY0=|%bjFs%RR$3t%u;ZpjaiH!q
zRBPOQis4B1`!#W5wv!w@hXb=ugqAsn&;G-_R>3Bb)1=rOBZx}!TePab(gty<6o;#4
zSg*yKO3RGx3N~x7KT|$6Z9G`1JSgm6S(_XZKm++PaE=9053Q25Qny;M@ho@r6shT=
zx!yH|N1D1a&KeVy%51jPSp<OMU?M%5D3u<7bBp3DAV=a5M{XA2<ywSEphko3&?pFD
zo-A`*=|U-9pi{hPyRvk;BFZjS5RF>J=2I<*oOrcdSmdeap1bs%JS=c>8*{^BF3&(-
z5d)PRAE60V#7vpJnP|V$T8-_%f27mJNX{UPq<GZ5gwi<r9K%%=c3vfxTBQ1lrSc-I
zob2=A&H!*Ya*Ko9CJvxjSuUsg=R|!a(!>Ht2R1fAvVFE)bDu=}N<v9-=03aT*^q+l
zQ)r-D^0?RVu$K^XZ{TGY=08D?1`}bfMIELB?3d|h&9(87A6sr5*LFiv5ywLwG+LD>
z@vR(4VdMsmU#53e5*X9Q1Om}#kr|*08nISeL0m;d>PmId3MzOrF*#Y1@=3IHSqdv|
zVv+>PIk9}>+~yMo9a%QmUx3qP*7CHm7z7R8*Ww6P2p@VJ;n+1xQ8XzVuZSmQ@llnL
zjb~q)z*$wIapgCdkjlcuErJVft1=1QN~7IuMY6Jp|MKIrZ=2NeXB!_9A9<<r+e}UQ
zW!YWE!(P;!^pqyQg<9*<w3a6S45bUDiJ<Q;Y2v<u;_j>X@3smNIwz?W@N1J`sb>+_
zZ>wNvN=Sf{B8b37+6_b=A~+0cHe|6rHpmi?k8c<YP<7G}UJi+1zxgzuSyfDBAe;j+
z8myydDs!+Bu`D0tL6A2cq>T}LLcy{YYwq|&7!krx0D_L3%(!CdNCKM=bV6lSvM2*Z
zPf0+?lPcIqgyMlj0nl+m@UwJTtA2#tA#IKMdGvt5O;{f(TFBnecEq(K+gO8LmBU(U
z=WJt#X*Z7@s1$!qvZSXCSxU)HnUIhxM29J6+35J2u4eLbu3H_Eks{PLTaZWB(6pAF
z$=Y`XQ0IkMS9f|p_jgcJsX&{f`+RY$be}`JH$nF)p^<gh31Pl<>puIq|8;er35Xn+
zIc;A^Ua4Tfx<Z&5iOqC}Ul~0uydoJJ8LdXCxmwktmh_Vbt52L&pnU!M>1pHP%BdUE
z;>*MMGJ{8t+_*6f!AS@EqO;ebqj=a4jVDOC!dKqxnYhtQk;--mg=%!wNHD>Wn$b44
z2GS!n@3UliYY``mrZ+t>2tR1O=?F>}>P><-@*=1FI_XV+(ypa|WRL8n`I?Z*OP%90
zmFEXmj@?j4357LyfezsHISzP8D^6Dt1EN-guBUqH-1if%$K7l6ky&2)t_wCD3w&PJ
z;24}g8&ObqHS-lTqxH+=@2)}-)540+lH#l{yh41`kCa7n)}}!pr0MB&Dij-{PM1P$
zYy0W%Nu!3-!wt&PMv{-!%8Kz!u#8>ZaN1Z6+Bn<n!yiPag^_G&RUTc%p+sTo@v#{a
zj&vRwHIagiPD5}V-f~t>WNKayAk!Y5fyHhncb~$git3YtZ(IbV6#9ao&_L7MFoz5O
zIzy?OL!qy2l`4^7fE#wByh>Oa&5iP5?tfiX;>7K7qf9Ga2sxJR?1L$nz*`I#3wt^;
ziVHS%h@tpE62t&6{5Ta{QOd*6ZWUu<B;{cnKRw(|nxk1=__ZQxA5C5O%pf$c)rDU|
z=|Xiu(0{s0Qx3ra)P?*4Hma{S-^zvW<kSVdc+c>Xo~jIo^wL6WA^hE$q>SBa11->f
z)P|#%)sBnwGb+tt?F&7T?q3q-$K9{c$56_{f6+BqdHC*#qPeS?@8y(-mq~dbFOD7=
zqH<Yah-0xxK@k{q^o`U2GK7K!3YC|h9yWb^%fg{+IF~4;1+DLOdXG(F8_I)9XEHyp
zI=Cdxp2PLSY1p*KCt18rprpqB?duZr|3CC>ilsTfzkPQBf)sHb=|WvP02UJer>o(<
zTB+LaCTKtiCzE|@8Z^PCj|!m9bAAus#KoP+i0Uf3%hB6w=jo7_$kYoL=z?KVoB@vN
z2Ug_2_Q6lkF>ZMLp(&;w#7yQIqRdqs1EV}+5tY)^39=+LGOe}H_Qlamgt@O)_|UlN
zg_O80?G@BYX;)}Tgl7`4uxAtm+~!<^9At`@>}Ns(9%!yOm<LBK@?KD9GR#^>N^p6t
zmc9{&s)@!uzK5mUQTiBI%E_|{7kBlfm)1KiIJR+I--<yU5vYSVq4QHsaw#`4>B&Vk
zMMNi<F`glio0eck`SkRuQ>WBaPU_ja{T-*cGz2d19|@Oxdg8KkJ{!FwS1{U!Aj~Kk
zgLCT4Hp(`e&n*rroi#_+r)iwiRNWPsz}pG(iHuuf;Z*x`6^gGwitcJE{@*qVbg3xB
z$(#{J*MXdx?n1MDOl^=R)h!;qlJIZpjpWP-`<22t9_<=O?{xt2F`O*CZ-bTOag`%{
zwCUwEYDfgm2<EkBXC*Tl{3t;FVC&1iE*c+Y<6kXL!eMmr5Ykp}&Cb7xdD*bZ`qMPI
zqnWJNx&L)d*1sRpWNkPm4zD*Nwb`$B`xT4lcm1W-S7xj93MIY3nyWJtDOp6?B0_|^
zo1(Cx@=L~qUfe4<8D{yEXoC)+oj1J*=fEf6IWKsD{eBq2=u%}pVx6=B<)O|#D+vo^
zU~_H1+Bv31RUsFDRW2hH9N4I4PE29Qr?HrnR6BVTaNxtVg5qqKM4VJ6IBgvWVL3`@
z1BQB;q8nJI3tuUq893Zwn+V>>M4&YgwkuvNl3SxWAC?D^UfTIkN9jW6gOFtTC1L>Q
zLtfI4>U_wza`DHoUZjvD+5s>lWm)EqiKCLAkz-TXzWsd=WaszsK^%L&1sO!*^Rf^V
z`VNDFH+n|h-=HZNcmFkg46L8i7RImZ8svqzI7QbxjI!Q#wR4KvNjEXR@J?$LtBK*Z
z5nC?s#fBFGN|YuljxS(80SPjZ!c8VT%xO-r=SY{$xGvg+EMcw5S%^3cMm{%NcnbN5
zGAgBaRL4qSBF(DUl{IE5(P}h_#R`z&2pT0$&DPQu!w>QhQabtff=>ROp7kL%5-vVU
zdYPK&&7qTjxMh0T*D%Bl>t$ahJdLK8{T27Wu3mNvr~Mx=-i`Fa?0=I~3||G(t8=bt
z4&oN71~Ehbcuicd5=Pd{f)hsZ4D99^3bCCLv_4}a1kDQhvDrrGZ&-;};sF9VSt8|_
z3@L39Q|{x&C$OJ+ri5=C9I+{2MmL?7gjE6f0QEI+4^D_{f!guH%;_JO+N<$^NW#m9
zTaf^n9ZOOYG@XdqUTJj|Av@^m9ty`RtDafUylNup1Ma7=EKcT2(ugo1bujwM8l;Lr
zRdwY<Xm8Jn09UF=P6`}vF|gfA=ZTfXll^XvzBq(#xJ`)N{IX4m!~nOC5cMj>`sv>n
z$?wth)9(%<#kGF=8cG-Hr$VBqTH%13V`{+^o`_NP(|juzujKVptsBl<R$61aLw1ZM
z8mW|0wnTk3RG|a*QBjXxv?yD^S`BsW3q7Uo43f@3dw7UGhEh<=x&|w#KQ*d?+SN`q
zub}>CH7123&Nz%60n<ZzG9McG5>hQ&ST)75g*7Ox;I1L$+M~Mwco#xDKXijK`?iYB
zL2f(?>G@LCl;g!YQXA2Tbe$0|vhbMTfEUs`&(A+Zn`+1@2sw2IKV`#@q#lLS#zSg~
zAD*9Q?;|D6`{#H3*fM^@9{^xM#_!ZbS+v`?hv!Ope|J8V4v!_<g|5oIJ-KwiN5&sh
zk5IW!CZ&`H(spxC*M)ClK;l7f_xGo=6apUEPmeybyjbnE^VlE@L~-(n7Ko}YJ;Uyn
zSs*X-l;vl4=rds-Ae4?~fxN{1uWNzald(Xw)uDwCo6Bs2oZb}eemx^Z_HtP)V<CH0
zPqXeVZ6sV&3E8NuBLOF=({R+{zZBeuHwD}R9Z+(FY(EF+!we{i+nl)+DcholtR@fk
z1`LBoM)4#MVHs=_NFSs64NV|gy<_SB$s&0-n#TU|L8PA6*nb|S3pI8j0rN}C03PN1
z3Nfn2o^R#i2lEQ&e|jR)G1ifV{VkGV^YeM<1EuefaW3o~5@kpaq|DAHE`&<oLrtV>
z6FdaNTt!n9#v((zh32ShP#72I5J2KL3h0XY$`}!Ufy-th2m5Xmcrz85(0M8N0(l$h
zJ}dTzL{sYW&1G_7z<B}R%u1YY^q(jiSgI!^#qY7Ke~IQiV;bZmsE)72jZ&}<=aH87
z#Z>vnUCrj#<1R%*X<GyfYg@-t1QRA`0@C)AqPOdgWF77Bs~duMW+=+Y3}wiQ8y)3$
zHZ;nI(@_pe&6%N&QoCThncG?K?ZqpKL{Ap;QVJB4>aKlx4(Lm&Hg4=?o?$vY*@G*!
zgid;uC>U8@V0N*HI-z*+Lz}OQe*`iz?L1Nbgd(TL(WZ1lD7n<%r@?N6K0b}RpL7;*
zsD|<y^5t3NYFCq2_)a6%eVAr#+&wka<k8mKjIP0+jene9ARaph?*ne@!fup@3q(jF
z*P#1Sf<$$qha^(=NDup>5lkWTHNkw_SR?5e-yz2MxQ2L`ZKID8p{T)vTGMU8_7%FQ
zP{c9dIx!3wv$;gq8H%&&*aj5gYmLn8)U0^f!VP1{QzI`v2O4lwq67Ck`O(P>k0e%b
z)N||`1Vk&c+KoWPrRs!4uT$?SR_6p(-#rpmKbFU8F3(5u3CR^WIHIt`89y#7vr0YY
zO%;6t6~&Phh+KPJrNvWOxRfHBQnXUqBOTO|c37b~E2nUXCRFB)I~hVfK`fNtkJ;(o
zN6d;u%HfjiL40xD>b#oGQngp)*XbmODf@|sf0UAEG3wmn%v1Y!3Bw+n?jO%j<w*PQ
zioc{+<1<_4)%ckLd<^Z?SS6Al&8xA*{jcZMNIt?zEU=SL(NZ!+miR^1c1DP1MT?AF
zmp3^;?#9*ZYfa^+bHoj+U$iXJ=S1E0G|k^pFy*QIV@0z%n(g*a2ANxJyL|wq3vD+s
z&#5*r;BHHv4@R}!@~vF_&AeWcRS0Gre}<KXbid{9EX`mIq6MkHcEU@4AMND$)1le2
zNiLfzEJ!IQMX&VKx_?A-G4B3H`pB48{S`~nP5waFVBO@m^Sa4}_gM(nC+pCQ0!nj3
z`Uy;<Ok|GS<{+4toT!a!8r3q-jEOyTu@vd}noVsp#lTkt2EMGvGmPf)yCj$uDsr03
zd&tIK2q-NN4YB0~^4dw9ErAwEp{M2&?kS`oR#M%TgYYJjp3A6I-r2zk>ri1KOmC6c
zf|gTk{EfiIH%7w7=ew}c=L*kz5LLlPQTYbzhytrZXGPGgR{z}Z5*VD;JLyp&g`CTd
zyMH$l<iAId|1VVSw~$kwfp4PR|I}R&>5~LWuO@wqj!`zsIE8{c|LSmpaDES{s@^L6
zzxeAKXOcO#R9s6j^ZEr-gdE$?tbK$&24-z_BIk>QkOQbX5<>DqIjam6-mZ3$(Vt<X
zQQ`|#b*bO{{+8)CZ!f^g(E81zG%KU&HxG0F>*_auA$1yX76~8Esa0C5^o`TicrnQE
z0iD){Rv@9&Kx82X4ElQCbf9cP^-B>bni(WXAfS+vo>vHlL_NqG8T3l4N<XZ_)BMY}
z#e0fqZ8WWGZV-yoTGttrF4VdN_2n6S0FQZ|J4e;J@~vF_^DX1?4;0~j*le9I4TACF
zj8!Y#|GGT>Z-|3^juC<4SGc5>7929xTV7njw{~ci@j=)7oGrh7+W7HFT;bSq&f?h0
zq%4WFpSWtKWh3h+ghf?0S{3UwQhd@nt*mxjsl9R*?Nt`*W*JQ(MWAP$owz91_V=1z
z8{V>uTxUYF?hhE$d5-*e5oL_Vk)1*4Lv!Q@QM!;L1+Cl}9Qoh2j3fV`2=Bvk<d+7)
zcri!*Tkd~dj(j=8k*O+(vkG+IDm)FdoYPIIgvBhU>qUysm^V3jHgPUe#370y68uX|
z@Efpknb=sVigy4cdCvK2(F~5pIe#_CJZjGQ4=7#8Ibu%l49@u$I46Z9(N_D6sWvy@
zAwaSfQl^vRETM(DFLkB<{sT78`}hyWub4~R96aR|MkAWOEG%$EQT+?)$###83B!Xv
z1~xp%r*Kf$V4uQwfRd41on7sGm)g-rWfIOo2j**+X+MFy5^|hK3xG{=oEGA36LD}z
zVi$>69kBt<4vp+CIBnb^KLPE4qb(nntnaiC<cW4vW$nUvJ-SZkr7Y&<ts2Y2csl+c
z8H5V4n=>yv@7k&(*XJ<AZo_qG6YU*@r_oHbv)uoBi^a9y=Y*piwx$g*v9a<bOr8D*
zdFTXxL<e`&5g6D}Pp7(|Bs~>ZCR$Z=o~B?2+k@N{p^_h};Y2q%846KwXq1V(MTS$S
zeiN=Liul*tK^1xnh0?PqCH&b5WF(axS6Vl{iA+?U?t-0r)Jch0#%ibvc?fY~gxM$;
zwl{PfoOa4@aTMJ4Z2nNprk0m%fd8W+Niv$!@>7Gz6Ros7h0=vei;yj;sxaWThZ5bw
zJvOQVo^R#iy^!FUmG#^2qf>ufetr@WYlFme=0dTnk1z&h$cmg{`gBCotYcpTB1kN*
z6gi7rW9Qo;ej^L1T4Fgi0IeYFJgyNH{jmV!TdXM6K1E635>NyHL`FnW1;}%Tt4MuB
z;<j+JMNAO|BK6I*5v}@Y9)~qVtbp382z(g4(2yuglwQ-{ScBHw;eLq7dEEVZ`WRTt
zQ|{&a?%H&1;(;yGCVmw|+^{zBX~NTJ+QcWh|8=#AXAm!-4hpBKRcLXJbQ(U=D@4LK
z*o_`is6dIp%8Sh7xXWdPv%y`L46olzcQo`3;dKsbE+6U#C^t%!icLXBAv)@NB(Ad}
zRjDc~RKV7j-zcwlSB+|761UQj-#gWmz|Jh8lpx{W9qKkD*-!?O#IC*UadJ{XA<O60
zmR!l}4l=jX)r(3c>Qa_y95WLSA=04iOg=QBG$ugD8leJ+B@T8_NdPvXp^39!8O3f6
zIT8ki8maFT;0Sx7nqo8=F!LjlidZqMRLer{owaQ|l=Iy8ZDgdg4Yy0D+vcg>X2>>A
z3A*3rsR6Il(z*j{)}Jq0RY%jTe`k=jRcqFtLFq!xTCB5ohGzZLmT5EJEW-P+j`VK~
zg7IQU`q#Ms^|Tp~2*rIEw>o8e0$<?y9Pxg!?+pT~CXT;F=|bWVVBZ<UF$dyEAxWfP
zmh-ld>Hz0$q1SjE3W##@l7B@wd8Izk-+xT5*i4TnuILzZ<(&>GXMplgpU8wy%J%tv
zSLW?q!f+sG?}f2!2dW{Jsv9$cSSZBL+D|7Z)D^6>4dS&MR<#~QomVJ0XJ>L)Mpsp3
z`MKnvdV-rItj=7rAK~v5z#MgwW0cJ_cD$$pr<9KiOdGg#QtVl#_qjTA$(XeNf)Mq`
zpb8;U8TVJ<#{tnz6>Z<d&yxJv4n6!j6bJQc&4kwsZ_(WzM16&;aNaKjK}>hRWnNy`
znH-|Ts|XpYu0a27cJSmdu;{d^bfO<sBQ*IV;)&&1{G>`@VpUF~ZPDvPvI27YMEu~O
z2&t>`#fqH^cO@ko=?c`(J;^a^1re-tHAp*3pYCZ`we}*~JG^X$K5&H+aEv$cWDH^9
zb&Ceoc_lf_SArlBV?7{R>Lg>7Q|Ik7k%RB!`IqA6?JDf;1}>}xo(WW3-JBee_cW%h
z?BP~A$$edKx|(pGFM(ALbH<(w4662c{zX^i<S30H0-|i7$itXA$su)rFffiAeUrN^
zzmwdJfV?1VR2xXe;5PuI!-(CBtB<kqMi_C(g=sBN@Y>$wF!Ck^)$~zvmjj|YM7K;<
zHQ@oV`~Xe|${gX*)E(g`z^)(B^rw%+(S+&>t|OjHj^c8ZAfgSxv?fzY9oOnQxKo!&
z^ax^-BZ@1;KqQp=6hnZ44q`AA!_U4DG<rxDtCB(&b+Em3lD?r6x_lV^5|wHbQ+^;c
zm-SDO=rQ6dP>#O{LiBLJFz&o-$JhV&p5$=LY9aPtotQy42k8mjC{rc&K*(Dhx1uw%
zv&+lN2uz}jW-CFsINPw6W>GSl?Iib54F&}@aPR<GF2H-8WIvwIyyeu}fZ4<0LcOaS
zdXjcCuDXeX0F3TfxO14gq5Q+>Vk|am;G#xscP{Kt?gLFWabu`tPYr$*mN5tKA0@{S
za(?P~ecTl71w{G>ks~UMt1q;{*N{fZ-TYhpta<@%vJt4g4=yLL5T;M?8?ekMMD3gH
z7S0D8hEU=#3MmI(1@#1VN`amVhT|kEqINA`?x@wQ!2=t`tLV$NtQf7`Q-`3xSw%uS
z$E(7K#HEiU8D2?tS^iQ7Uch9(5E0->keB0&2-Iqfa|k#lM8t3m9f4e8NJ@}G!&;#8
z3CZ!?Q}!d!W3;xQf9xf;XmIg;^iX^++mG2l;Z}%wGt0zGx=gswAvb+8Cg38u;{F*u
z(APN3@HGzZzo0BUM^!bQcF}zc4h|+dqm61e>bO$~+f3A{u*~x>(erFbHbrcc!P{}i
zNE^_btyommV(Gq>;Fk+3FT8R=&6H^;V>D`lmT-V^zrw?w;{nd`sOESWa}4wxLpbLW
zJagRj9CtI<wkN3iPuP#RA49kHg8R$(;LHEqkJGp3fgksu(l<&{>3)K~Q92;^lk|;_
z8N0ti-zaF^{S<wpKq~js^o=~a?c`9F=y}Et;Yuf#5X4^M3CT89PLM|Si6{qx0h2Uq
zbbFoTBQAQP>!B_^mMb=<dgV&TbM0f93S(Lq@9Az!zS)tKAbIOSo1|kWIe^VEPk3~(
z`tCa?pMMl{@uALhkR6-~uL=)XgiGT^hgtyV9v{$;nN1ET#RGS96Ni)<v_?pAN-9me
GR{8%#Q$6Yc

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/regex_labeler_from_scratch.doctree b/docs/0.10.3/doctrees/regex_labeler_from_scratch.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..268a61bf5b84b61165626d6f855d4cc5e560dfa8
GIT binary patch
literal 42414
zcmeHQ3yd9Cd3J2?+Pk*bi6Mr<CQR&*T_?MD<AjvN#Xv&hggRc_JY9^rJNMq%of*%a
zxt*Eo^#Y-3fhs9emB-~-fg)N;#iLMAsVG$+yaX*0Eo!Aos8xZA(xSF%t5)ihe*b^w
zoS8E_yZ7E%Z|t;QIl1@FoacZ3^S}Rd9v^wvFMoIo|0R2)j_vs8Yi6tE2Q4e=B|BR|
zv)i`(xcAQ9p`YnJ)|*boLUTC^x?$7mC0kIUX**skwEW%~yquu&vExOxw1KgX8JbI>
z*|Aj%_DJ&B!Xu8gY{a$`8GaC3jUYH{1io>v6W`Zu7%#EoxDy?jn_F^XyW6NWgZ5n0
z>^QOM1->;Gb{kGJ@aN*tvgX>R<Il-9qPfsovd-5%vtfBwSYHf-c0Fo_X56%Ee#3M8
zvoBq!_v{@Qt38IPSc?{hj;YA$*(3G@y~f+^4_W7F-pS;8gYCVg$8f={)-RWg0u%&E
zdtWkES8%nrC8H@g=acOiq1Bu3Hq2z)jN{O0bYm<7fqk3PiU8tdN7FN-2oLdn#5ddG
z+s;<Ell^Fz&9j&qm)TB_`^_O4Me%Ov^pew?2>M<(*%6ydJRti@d(z(BZ2-=ru^BE|
z8HNFpuiab}U<9xYfYm+#FixHWGR_h*&Pqg@4g6Vwd_B{?9_Vm`EVmkIRk>-DyAkCi
zFzvaneY1Ty8CPi5>K(sA%-d4k%jWI0I@KAsuT9R(JseqKG<P=gEweG#JY4UDfonD6
zXzo=H)<dfkM00nWv3W8K79Ak_98fBn6R6aG8}#fK9N&teY_qSiw_zE!BztUU$@cJH
z?3w;jenX7%hLGSYju%Kv<&*6`_9k$0F(A_LWU`lV8Su12E3yNx)%*FKKNNpIO;fy2
zc5Yv5-;2Rq!MLykTU{eJ*pGd>A3NXnjzk@k=+Vv&I<vxaR*$-Pw9v(<=pq6Poxoo;
zL!t;Hu@ifFYLLv`)dhWX{3XLQ9w6dk5YUbL1%)w|=ZqB)LnB!B#cP3E`-iWm=!o6M
zxX;qM*w@b6FCc2LF0wc%z9@<_B*!q#Q-WCcg`VB8n-Wy{Huj>8U9yejXCKlCb!?eU
z+lmZ300|F_Ze(FoScY}piDClOoY4#|Gqy6wFjY2Es%)5%v21xBeG;#5US}CjYyfYJ
zC=R>LxEoq6qeV~##sjy}W=(?iQW#3MQf~(6e|GSd!nWoWdbV6KM##OE4;Bj^Wwq)a
zKv;^HWAvu(#8x}^I=SQiz!bRYw^CTr0?=w;C(No95%6b_ri&opsg~G&AMf$~8)-2E
z%lk0DUm6}P`%&#Z{jmLADD;jD+p#<BcPm6a{D9T*%%+4vVg6y)1J*7>rcjuf;#CHR
zPo;3E&{8)4PhpIo9)AAMLA77s(EMNiFz+WOR;$<CaQw(=Sw^tP7?Rs;VxL*zcmXYv
zmu;{?xotPxP6pgR0+hZsJaC_jYF{26xNGz2WGC(0c%=irGYTOWGAX`b+bufhd-f=#
zy6z%<O|GahH+mZekSDSGH4^)hV@?>wGlply-+BCfk>RvEK^XHoc}^oVLkFnqTUHCC
zktijL&enOe-SI3%95>cT2I9ZNP`^Jsh@U5Ch?#Aa0U1mh#~|j%5b&)qNA-k2Fb$Dq
zd*FL3tKNW(@9{t>L({7_yr6kDS0dSd+BkDWVx{<z&3n|Iba!2`WlIrFXjy}HCx$Et
zIZz5}$xae{y5<rPKnOo6H+9F*2AUeB4^aGKb6O+Yt@E7_4cKwpBRp}pi^^B<IFg-y
zLnvjvWcMqelidl<I*-rXoCG}Faa2%*@XIOw1krf<Em~1u-6-(KNi{M$ozU@PiEQH6
zxUA7J{T5g>{&ia8<8iohWZb}C+8!|zNj9iVt21t$Z(5z$cqOCmJz*Gxq6WIIb<EhV
zf&N%wJbm+wF;%P0)oN3R)^Aa+)Blm#=!kYBFR(7!CF73Y>Be;^isstLw$tgX#CG7{
z+AAR36roN(gp;`J?m=l#skmi@Ved&oy%$pbNmrnrPWh&j9e#rc2O<Ye+Ju~9<q?^r
z$RA1qAmkk4%^RfyFG3rZL~FV8UHKrnO%s43$@m8ne)d<bt=7@~Ndd4&>0=mq-F-;a
zV1e)mW~pS5<Zm9ejHc-umKizTirjEQ#1;~^E>E9xOlA}d3m(KlVe}A8V`X8%AdLz;
z+29RNjVvs*IyF*aQXOVtp=PjvZ+c#^44FJ4sXpE2ZO|GoGN8s;#B?w!YNBN=nq4o>
z%j<JS*Uw25shA0I%XXT!&<!AeaP4$#f^ALP`;!+}oN&(eQn?A>yQLOGs9RtlJ5mOc
zBeTiXrSO$B>Z(<+&qfElopd{eUi6(`*h;QXrNz*I8~c-etJg7Wzw~X%#M}U_s=c#s
zH6qB#Oz0Sr^~5uI(}rfUe6g@iZQJCc4WVRBbTV5&12P0Lfp`gON}5rPs;cT~i+6P!
z?v@-nq_ou?S@lepEcyyiA43C0iO1cKhieH>?(^}oz{!4%9`)m7LUeKuQiqw~^kMqh
zaBskeM0GJYeIBPsfRTn`<0#~pJWZ^v+Rf8bOmyo^5FxnatJnBp&9=PG^dY&2Hm?JP
z$h;fB#PijuiF+F!t_AO8P5I#uP^&N0mHhAtlrEJY#0uz$J?$Ptara*QuS{$xU}r_i
zq0q|l`!@^6{|VFBFpmEN8tDt|avc8w_um)C4+x2VTEkW5%=Na}=|Eai*g8m29q-1s
zmcXDI-t9nBeIcRn?q4wZQoIvTxdia;;myLk7ni|&SlarcL7-iZcZa$EzIb<g8QuvR
zStoyB+k$o;olYq#R73pqqp33r8>=^<<LJpUcvZvE6N5la;piPGU5cXuf|me}zIJ`Z
z>bjFK!aH!3z?R4sQxf|%wL|i`0ZOVxao<2toOEADA44fj%c=&;L#@2Rbn0E82(J{n
z1vEb%Hk`?D0SC)7y1rt?G$S$s!~d|b5OpBuLr0>?Wi=zCv7%HQm^K_?k~5c<005JG
zN5*2;XD3q4K)*scS`NZiG-Ei6a1=oiBEWs;@%J9S<yPaEdDb!>jB7CLLD8~|MKbjn
zO&dF*3CuT^gRa*CaGREM&O+^T@QAaK54IV2oI-=uHyHikmxq5VGM1ck)O-USqxfw%
zzYv2D8n8fOHY=%k4bOVRYMQBY1}+-0cyi#d>x8Vw!MN6fV%9>Ftu8dc748kLmjGkT
zU}BWb-e`AGs9}){s6|R6+_(%&j1uZ$lxcXkR#=`)>qsh92cA8lutsQhx&kz&5J2Mc
z2qQ$+F$-94FEpZyS_O$+DsI#>DQ>68L~t3uHVeNLWw{LJ&E3bV_ma-T3fn*_u8Y`(
zl6F^ATxE5V5D_TgZI*ELIo`7R?jBlk{VWlSYKrS;xc|Pw)#-zVb<Xs<<X|Tcx#D+S
zW&V`rxlGp5)z!4p^y#TQd&<dQo7#ukvrJvTSqAlLBHA|wfxQyZK9AC+BAQqS9liUh
zuR4xaRbTa1j-Tr`vQZ@0om3LpEJ<VtSh8lBsn1HEeio{9oy3c^#Wz#>vB+}Y%GsCF
zeFhOL*Sj>d&q5ZNWlZD#(T$2SNC!j8X32<dBZ~@2EhNljsG4se6;Y@G87l%ONG>c2
zqtsleWHw*NIdE8y1`q;}2m(kg(JDYdLa^NXKS)i5)$YVLmT`B}$51lvn5w~q?hSbv
zH~C^}BS+|sV?j)02XJHMh;g`PJSfCk7BhGzMylSEOh&S;k6=rF5gE7W#aSyeGD4Bs
z>m9%8bz9aE$jCf-sBJ<?TUeMO2ZFHw3-g(H<Sh9?Xw{o$WYGg!<%I==R+=4%f@U0q
z(ZT|YS!D1(cX1|@33eB41lVWKQ_EZ?l)@@sgt(MWC-fKDY?zQ9EHtY#vI2jWVk(V=
z#MET#jFGj+zxs~!s#SO(2f9bYkE~rD=Z{{vak{rrTLPkx3N-J=-h~AXCFR(5<(?Ks
zcHf3ZHY$)lYcr8g27zSRPQkM5(Vk~*GbB$}A8$t4i{YHa4W!rMjTpHkN_k>*>bp>C
zmf;a3XQGajP^O`InnWXDJ-{yn8&T*QT!>*x-zj{BA_xUVDj_G-0#PkQMj%v^VgXZk
zqo8df{3TUrsd{cjNtZ`xp{Ort8~HMsHo>O~HMoT^XK*10BWl46#ajFt<cd|~B@59f
zPBR^Q6hrKy096D<AkYkBYgibMWlZBu7#|YK^CD^W)0W>lBqqursu{27h7<tqt&mXy
zbHqPZoMCOC>B?EEVS{#3ETp8|@V>@8B;x*HV5ZTeC`tqlD&K6I0^MnP3_d@0P@4+X
zFq+y@?F&zl34&xk`eYjj{K;rT_C&8Jmcv0zb95+E-$%t_XZV-MC%}-PfQI@$tW3|&
z7n&W2p3zvCo{b7L%#S#I(s#r=CGJX+v7JykYl-*XTQ@Yig9B`ftixoW;(g~;kzRjr
zLo=-nx0!R39=2xR`B&fwzp<gYAE{1@a&Xv4D}7-CoX|K-Dx>w|JYU)fTuxDZ(Pi4I
z6o$+25WHqJCmBpic^p`tlTs=~oT=)m>ictfVJG>myM!ZQ8N8J98d}DSBu|z?5W4_`
z>_e<~m1JBq?rgOjavhL~eFpgtMg&{A<(mx;LIg`Dk%jQ=7<Tx0#fZ9)kC@?iJDt=6
z0B;7qaZyAGlLsyJ9KZlCL>aUcS)|KB23pCu_jP?IkRvw(6b8J%S0Dg7&xc_>1&Cy!
zBm6t-hI!~e78)6d!&A@9;de^TlC_#-&-#wBA~)Q+eF&{yYFTQ`@kPM{MQM_Y(|^fY
z47Ri1dck-0+c(R2d?WB;!x14<gk05($JcZJ{fx)#CDEcmK!t=ACz^i!6mQb0BL)R%
z3mstU$YFeE%0q;wPEJb{xCIZHFsX+Tp5FRcX;>6>!3L&in!~+yh4JX?`5^+!vp$W}
z;neAyX3xCr^v$z(oVjW0%uH5h)mW&kIs3XovDKraa(B+YIxF{>XjQXS98F;$UgZ?a
zqsL4yvS!8$Gh~fa2GgX(?lO=!708O3F%Nk~*}kjhK6v>cyHB|fW>C7+eIRzCPT=~v
z52W}a<d3TE1HF~wzXCS7j&=O{lggivMR<^*nD=KY;7I;GSYfp^Za}b{bldbXlnvZf
zHP{CJ(Yz#f>Sa(I?jx%c#3y7HJ57;z8pK^BO~|x1cofnI5Dt_;+7trXHAfi<R9W<e
zGDoFWnt6)8pw!k}5D3y!VXRTsm8jc@aW(*KNf>~zuxnaW&3H65j=`V;sSt7-1$1;_
z6Gw3p*Vw>9wyR@z9>0f5!0LhmEd;S}0U`AfbrrTL5-Jf%kHY{c(HZk$^EzTmWa~`2
zc|d+(kR#BO5g!eU3_{HSwx?#C356ejCIK=h;yts*jXm&sh0$f^{v8Voj3aWRZNsl@
zwoKyQTxeh*F`0U0G5L9GV_()!vR<jabAZ82ps}39cKVsM&a-&WhGubFr5%zDA*t9v
z-??M`co)j4Z^N&wTb}txH#GB_Sigbyx1zzxur*8Os&lb|4@tQRK8~7_ZUg74DB!Ys
zs(^obv&8go^0v@-(9kg+-=GDpCZ>O#`|l^FCpTy^ddkscxCZtXMHA-2H3luNaD(yk
z2W7CRCOUn85Qr$z=}%F*RCE&1(UGp7=%iy#RnbXr<@o3GVn^};wx5vD0e1|-Jr@_*
z3NxEG*bqZzqmGarh+h{YCY>08qa0u;+*1_hNnAfCj8M#Gylhz_mX-3&AUco~05&gJ
zzS3*(gk+dpjOFr08fHfBl8ZJ3P@sJyx~!?2r1ogQl+=1m0XUlk?~Ugd8q+C8fe=bF
z4~>9%?g%ed)?|`C7-W>W1y-X}&$1?Yl(h|wa)(49MHUkEsAQ!2wk&`^@q*vK;Jn}~
zo5c$r;pNg-c4%JkAT2>PUT~88@5>7w(RhK#qR5$4@-~Wx!md>?Q1s;;o7KERD#p~H
z4A#|njW-Cy6|Xsk(xtpcKwn4di^6OESmQM-$G{JWdmw~9RcWDl%45mcaln3imm=>e
zxF5*|d2J5|EKq2L$hzi|(znmq0z$7OR>G7|coTAb1dhLpI0A(;?t5vGC*60`$H4Xj
z8Mg9g7n}xtYqMz3XE4DHn~gt3P^w0QKEeI>qd}*3!|<Y!p@GcCj8|kWzMyvDqvdvC
z*;#51etImum*G;=E#PVgGu8ik8Fp8r`d=Fa#}(E8O_VOB`U2lC0jmG^n?+Iny$t5V
zrilLAAkZ#P5&akLzaK?;dNka9qb1a}8vgA?Q+;Wy!oUAq3;zUkE&=@eH!Zq9XWq|p
z3*ZaL=NCk|lTfdhMs`@1Rd(nq-$5~UzZhmg#{G316bJ5Xk(5K$Yf45$iX$xF5yT^W
zg9$&ziD*(o8l<QqP3|#T%Srcc`WRTaz$u&VovH>qC;lrhxt)3hJW^@kbbOCThZ-Yf
zlcYIJAaW4uQJjfNh9<ke$@As%McV-<ou;k^9L$Wk&Xy5$W4Jvi-IJ47&p81c9pa&u
z!77q7QAnjbt};zf^E2f1KxRQW10w{aLo#QG5K%tolk10&9D_C)BT8~%^FpU6h-A{H
z9Rw_;ir8Ib$F`9f>fqEm8A4;5deW;&>8-GU5JTtu*vx0~!Al#ynRcFB>LUd*KcJAg
z%r7xuZtUqoBf2(SFcL^R3H8i&k{6faQGZ0t0lIP%eIYQ8(DoGFC7Br&53=rA%JDY@
z1H^GZt$Rt4!Q|=gxdh@mBP^hcvMK#fj`RX=s`wXl%6(!xoi?2vxOSbU+i1+DaH!7!
zB^7|(cMxJsx^Ei>KjfrOjNzbg#c(dntoLHpn{(#VCwNEen}29i+D8da)zsLJaQ}UU
z&fYrfoHMEAHe{X7OE@|u_I>fxr?qTrGcqf;9(0JaMn@?iVH&5PFV}IP=_1bH#gzlm
zQ8w49Gfytf!6|HJQumdzb*?5*e{qo2Rs!`WQMy#26DzONk$z@8ofuSg8R@N@_z`Tb
zY#2!<k<M!LWHu+fX6d>Igy^@fsM}APhBTV%|FFt^&E*Mm?(3}M^COx2T9T`K7`F@L
zj?oqYLF*^Z7DuP$=~5=^I)eU>y^_v3LDVwMpQL5dBp%?i_E~B~xDHN23E=cpr^BC=
z2g6I&yrDJ}lDk`XFv;FRA491I|4r!3HApo$@dAy(oce3%29M&N6cMi^Cq+tvJUoSO
zHo@sJ9B714!yr=`FmpZ#hQhiTJhDCmh2WI|M!*FCW33FfVZP9TWNCkiW0ffHO+!eb
zKa{i(T0hl=o<XrwvO{52mMR8?Bp|Lx(ld&`%F_DSuc<_N%2N|@NI-wm;;a_>4X8F0
z4xu86W@QxD!U7|}Nhp4plTiGickq-W)8Rv~5s#G_#K{&;1EP2gLX)!Uh|3ZutETr8
zP<ag)?6(6aNL$LYi-m>PP}W=ldLsM_7J537Aw7s23C^c#mlu4<1<!=)%fK6YxAY(@
zP84XC?*HCjzM&-f+_!qWWDCNq|2c)`bz!d{x=T%u#su2G9~q4OcW&0<V8#2+d2&5k
zAZPyEwa7&_9G?G;8=8M@IMS2#oeW#EFI28Xa#HT-(=6j}cm8oU0-pWR4bA@GmH|ko
zV#3M6fhg^2jL*cMb&}doTt|wPWY-lHD_Nb?6>$5hO;fBa-az_Z8(Ohy(Bf57tm@o<
zU&ZP}e7HE_5BNLZMkV}0$Wf~?R;6s81ibWM@wK+y_;|*VVe37b3OB3i({v%yffcyC
zop?ImkW#ar2}4y|f%o1U%W$BY()Id5FhMC@ODJ8cbP24`w_87@OW!h8l`g%N6Srz&
zc5=J24-3P!B}BqhvgA05Wn438i4ztn4It7lP^sR4S~B+|1mj8f!}Kw*3Xz5`oVfkM
z6Q`GM8gcpprnuqYh2JAMRU=Nn!~ORqPK`WYtF2+QK|&iM@2BuVvFpe<t7OA@I=WJr
z#>C-UWouB4IQ;n_E1`(Pmr%NtIEYob1c<}EL>$&JJJcS`9h;RYz><TpvUfLF+Wq3H
zKPfN{TTQK(yJII)h7tN0m@<&xajUAq;>HP`>U~UCYU%79sLafTU&Z!E^4B5aOX{^z
zW=2WvlcdG68;%rWGQQ+@3>^qVRs*5ok_L@Zz7cjska7k%*=gnxj&OdDv*?hoQW!!r
zSKgJyL1zMIvicoh@GJ#`GIteDnUUSgIm`8$&|hTz@cx-BG^>kRYp69e7FKJXymSDo
z&@8!x234|dI$<aPSb0BQMSM`AeMKQ%R!@cWhc}H6-p%NsW6sb*`kjP`)%f5`x&MBA
z@RWfAFAvJAIr9WTY)-b=5djF<@=7E?8U8>Yl%bMNg=Xqv#7^59Pk%^Phqy^Y-*OQ|
z^+K^4h!GObGg2h$3w0qiIBGxYL4$6;MLc1iIw7=h{9raB44>W-smsoojJiuph^7S@
zT0J#B7!`x=wD|guV{|yZNK-$Zo{lQhZD#1;EXW6RbeGCVKaFRUx}N^c7{=@!DD%n(
zvl6)KtTrVJ7&FFAw^Mrkow))ec;pJ)ax<mZhvxj<K|5Cp$s(~TMjcUR{zLaX_|Vju
zG(WyYmk}NnU{Vk#6$*Eo$Q9wcAZ8>zK3Z57sU=;;mCLwdh5c|vu^i^4XUeExHA(c<
zgU~`Hi5^4gQb|<MMV;aFQ&V-OQB_UVTRGwC0^46GH8n~#)bvJx!0Wbs$}|@dP`Anu
zDVD%My!e8ERu(~(WstE;q{;Pb#(gr53*ID3ESEkS<P!*)4L4v15D19}fSQFke@OH!
z{5$A>*~YbVR2&gpnGi?k;?co?sXV!`z%keO1uqeu)QGUH{INsg+$5P5N1WxEG0jXu
zOpktg22KIe)0=4%<<tz_AAsm4xtLN=9u*I=>GQV!g+epBm{XA7q}`wTW&wGfOt|&O
zhxoG;yX5dj_;+D+Pi<&)69vpw1T87PDS@X>R|<eof^2Z%1=;SV39?`1Wz$!9XhHVN
zv?SF8*)MSa{RG+MZ`13AQsE`6AzT5MB@3~QLv4h`ua4YW_=t~A;R;L~n-NcC#|Rlg
z+llLEt(EBL=_!^c>15Zac4Lh`=^p!LlrOHtGdiUR0%lznZ^9|R6yShZ(;KKfE{U<i
zwMs5|xW&a2Z6m$=kQB%MKh0R}L8d<6F2l%bLd9PWf|p9D_(PN~6)FUd>YM+f2o-Mv
z8OVl_NV62j_GCsGxkt#FHG6l?nw13~kuIh}Z!(Q6Uz3%pR4H3^B)@W|rHVG0r*Z?!
zN9OS0D6fFsIWqDH5lL|{n~iz)q>ApzM)_kXv?@qQ=yNhWMYxzV>z0@Sd`_!|oR3Zt
zu{!J632%7N<m;A5f*}YRsX>qx=EW`_(TwO5$)^S_t`Ob5W(*W_(tSRC<QTS2hl>n`
z?1Il#HP|lrB#D_-qGJo~{NkoDnA<Vn4SNi3qghvDFt>33eHqM~k*0u@TO*M7mPaio
zoStg0)PcKoMml+O=+q%`$2p3&&#qHSzknq|&O<#8>MbWayH>jrpDvBTC~Rf2{1avC
zSdA>t53-tyEFVGXQnD;oHX}O}0nm>u>u6t9*V9`$@qV59rPP249}$n)lz7ZSHklQ~
z1J|iox!kH7fE+Rql0*$<grk!}a^z;ch|3d93f7@%*WRDr#zI7mu(73)Hi>)viYcsc
z-$Khc>As0RhN5AQs~Swho~la23hn&rrqQscFyIZ-un*9ztI@FcbN_v5*gd?el1vFB
zV2=OiE;t^92wkAo6uvMO`CJ(!t5K294gya_MLvYmrBp<~b~q}cBVJW1qPKG5lbeRV
z-zx+9u=&B?9R%Fv`N4n1{r5%RAL5oXKN5F!5RH;I6h*iNlMaBSyD*kh(p7_Z0kYrp
z0Tu-1X{<*Mzy>Z}Xj?(gSSLF<*L{s&yb5W}2E-XGxtnZdBl7b=7I}nx)g#6M<0e65
z<#w!T1#0zr(=(%}UdJ~d4v2bPX@39j;h>X@AC_TnHIngPgW#|t8Q(|gQj#I?`4S)*
zzq@H9V`lsUaJ)lkq$0<=f&1@EGVUio;Oa|@>E1brH>r|X8`p_J77oPzHMrEs8<*Wg
zePJ8bk@=o7xK=~vy9R--LgpGumm;%(^d*4IU)?lh4$FW(EdL7z0e3n7^SJ+h$PD>t
z$C;jOJl31G58w;58Mhi{JTb^n6=uXJU5XiE*p~oi{0T548%82E6jrc!YqOP0s#!U`
z>RNdLWv24v)vNVwM5LDFdY!wg>v(jV<*b>SvNYXpd2V(k=!UbwvM*lehB4Pjt0J#z
zbvS~tJZDf<169TA)#KVG6f9Dgj*sPsRg8MaLZYcAEK~O;&-NQp2Umlgucuc#)|*k(
zdxCCzyCRurikr#mY5DnNw|wH^e(>IWvNN?2M!n>!R?zI?*089Cpl{gZ{8ld+eT34V
zqTV}uhkm9<IP1(OV|;TO-Ta99V*oYc7Z7cWAG<_1b+mmJKgZLb-O$6YJ#o;iH_YZ)
zdW-HxaAR7y(o6O&20={cpygg3zarTKUuNug+x7Eg?C;^p1WcGt2Z^?AzNZaMK3_bs
zJaKbdopR%Z#DyWF$Fu^8VEkaW@F&zgoQC1`j&DuIZPUXw3F7BSaurf1W46+FqwMKO
z%W8C&(B8zd8T!Btl)!Z{Z9Ex^agv2alj=Q@OgKJ{?WiLKI3Nt_C1c%qarXAv$ieqX
z{bk(>!yv39d#~kLA>d3y#a(2{-qgd9wKBr3^pa}|ZwgJg-=-ZtA=+JCds2T<sGM9$
zbBF*aTV#k@y=0Gv)WWX0gu5Yv7JhHF{9f`b_^RRQsJE;R@B`h@SuOL)D0`v_Mq^H^
z4%WNqobTDA$%NU3F)VwOY;}NCds^Lgr>+nWfaM2d2M%$K4mG%!p8&dkM9ZH&>O@wz
z71YnS38k*YMS?hl1el-IWGrdM^>YsH++h^mOV&8Ljz{EZ(<pby4S@}`8<U~KXy6?R
ze7xI}7OPXBWz;*<OZL+@bb=%Js0>z^FZaQc?+VRj^%E$1740fuj=uy%^c=XNdOyD9
z+y6R}OmwUc?2C&yFP<{Q(ammp(x9t1XnQ1v9mk#M$lToW@^Y=S65D}a3&N$jmUV6p
zC8N1say8Z9p`b<`w-q9lH^##3#Pit~-uxm!b|PGC7P_G)SvQlin>Yxt(H$#Z<ZkS^
z?V*dY*lb`IwPL$>d}neEaIy_wTe>~f@aue5eecQS%4o%p&GU8JS+Y4FwU=!70z&=W
zQ5&}=)_<x?N8tic&*I<WXWa|nR1=`RhJ3$#7>w9&fHH#+wa<1t=wbpyDRyGOU(kUk
zfjvRf@fU#uk}&KeQb9-eYvr!A+6}9Py}E+FY|Dz#+SN_)inDdAZ8~1vY_$;IK$PK$
zWSixm>p{g&b_x=KJqh%3aJxMnu3yI$kV{s~$Z!=p0=mSYlt2aCF%p3;Ci}Ffr0Vfw
zw6>^zjMBDf@$((@P<)@ZUt-_k{x)sin&cp0KFmR8iH|8~%5uhg_-)S}-G*B7{^cPr
zaCZNPuF1|_C!L)SCHhX~>Yn=_l%k(yjx$3RMb=L{cV9{sb0<n=J&>m;*GtrM|C!2W
z+45`W*1K1e!j^X$Dc@7BMJp7(Cy-U74CAiN7Ukz-^AKTn_fQizr36R_7^<A~jztW7
z1%$__N@~I78rsqT6Z1A-_tUhTQZ5l4kSSJM&t5kfBQ&7cK0*p0!V`=K^SrL}yg>5|
z{dorEJOgQ-0Wi;Vn0IMd^W5Eh*FHdv++pA9UbhP>*`j*@AMQg)SauK6H@bw}y`H|&
zeIo7)=^Gu7?cPA&=+pyuioQ`Qjyp}?DB8(AMBm63?%qh>$ez_r_T;Goqx7DpLk@QA
z381-nLd0K|6MHBBM3e)01r=#G0#6YdF8b`kLsfcAYjI5W%9ZwM?L#UFV-g&$F1D4v
z*^-QdH8pX42iQk1*@a*!kD{G$utzW1@rv~MJFzxz={*4A3R4xxHMVvHt|&TG97=n<
dOFd>fvP(*4Ua&;`WV}U8H03uW^K~1w{{;b5w#@(l

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/doctrees/unstructured_profiler_example.doctree b/docs/0.10.3/doctrees/unstructured_profiler_example.doctree
new file mode 100644
index 0000000000000000000000000000000000000000..c1e2349266537d65216483bfd704eccdf95b11e4
GIT binary patch
literal 36890
zcmeHQeT-aJb+==Cy*swojuW;iY{Fwx$nIu$HckR9ZX8IQI3LDq6FXoja%bPnyxI5O
z&b&8yAN!GD2(6$=c~qzw)P@$(7NOEsZH3f7+E59V7C}LxRVyl0w5UJ@6cDO}T8Vxr
z{hf0^-p9`F&djcp5WJE-Gxy!kbI(2Zcg{Wcyr=ek`0$5z@n3Q{Y}<~vS~lx-&#zly
zCmF8$wYX(@QRmst)O$OZJCn&sV6KFI9Mr5%vI{wCw$rQ!me;w2hoh7~a++aTRxr{w
z19LGj+qSO3-j_VJ@D9gXF(TUu4bP9Ps_!ouzGpn(L=VPQ<1Raj+TroJxkV?k<7&C)
zx8`bQ+lkDk?^$y}Ty<)`Hx~t#HP<p7Z%)+_&c$9B1#vBk1FK$X2Y$n8T0zBHHCyeb
zRrab)$6LC4q0+JUqr3J9Mq@QB^d6&8BeeI~qx2Y0_g=78Y3RxLX8rBFufwFlz&6j9
z41pR%O#5guQqiQf_asA-qVvgK^w8?e$5k^anNbut)i}aT5astc^$=7}_Sc$b7$Onh
z_jzVZd>gLE?es_0tSw<^oM$g3Z#9Nw2-)Mn=_J2!WvSnZll_so$bGVp*yHxWxC&Aa
zMP{&QrF;frnpd0=m<?<L#I+|t%<*M#<t%aKtm3Fy-<uU&*fH&&0aLs|<y+6aI^QJn
zO(UNosXZ6lx7o*%l4iDg=k#tdbW1m{s<&lvDpRs=N*3lG4Xq%YTM9kPtj^Vr5nsDj
zEehw(p05N}+YjgNGb8hy<n}o*RyZdZs;BkPv0r=o8uVt5eWSexld&r~WIKy?6aS*7
z=`Chg#t^RzMX_R+!M&6}+3R7Qf;k&LiHT>D!^G4esU29M?KkV4Um1Qu{Jn=p`Jigt
zzR7+7o!QMCu^-DmCwj0jw`hK3wbeWxwoQ^v!)-KX1<O{4ns{fSi6PNM2r@dpw{C<a
z8ump_)Xa*7WbDz5bTJgYL%~I38$Q<J!ET`!OGIV+rg{6dw8%G|eFxbaB0JM%1f9Mp
z#PF81u&Z`W4Ln=NVbpOz)seh^dYV|r5R%gI7N@6;Sz{VvIkGKEtyy7c_zi<3sN*4n
zVH$Om2(8F4y}D8Jn@yr29)yt@Ibr0~%%<T7hT~!OTS)RfB!qFRWd@EF8fMjxBO^4O
zx~ix=t;O*Wq_>~rxa8>iE-HeL=KG$?VerYg{dDhyem}DRA_y~<?7{HUdc;q9n5_%E
zF>JNkwi!BMhI5j~UmCih*Zzw<VJU@}(jU!IXLFYRO+o1`r5^M9^~lV;o8#G!UjS>W
z#b@wd2xbeNy2VVJ6@>=q0vzKkdRE<td}Gn_tiX&cW14taa=jH!8_SN#h4a<U7%R3@
zvr+q^6-J?90ghM!Rsi#zXc?St8t1SS%#f2$1=wuMlA*_vlRMDal-fH}9jN-L?2OsJ
zrRBll0%6ojJCvhW+996)=d+b<J^i2Jh4%KHr@5B1$rY%)NVMKKc&sZ2pE?-_gaeyv
zGn!>3BZqOj?FZnsrf=3ss*)UTK*;(l^o!suev(`bkE_Yqsp>TS?608P|Iqua0;TYJ
zy&*H&k>o%%#@-NBn%ERFVp8nkjJ@ee#fhv|=5cb<J>D7?ZPRJtN!^${dHx+U#s&J%
zifZL4F=)Mm+23VAGPY&0ba3BAFTdaa;9iYl-`Q%%{uVNQQ`Aiq!47YKTQ9By51&6f
zZ}?ThZiQjEyLa!}B}bCWrn@b2jJta%W6uae&CF}iuNSt}`Mvin2Y#{FH>AB5&(rSm
zqjC4u19f-Y9(Tu3a$7y#f6fdZkD*d9T{XwJb7`k_mbBmeblg2QP`__Pzh}4G?-D7U
zywWAIOuK$6?Rqv>+I!A0?mjqB?{7ly@7r$gZ;*T8d5h2<D<%!v5=(_?NPcRAj3VFI
z#?RBynl#LDw=&RZUyG8D4K&(~MSn6RWL_uPJ<Dpx*QI16;jtdceE%%$4lLn$dj(h_
zsc+TAu8?98(=!07YjKmHi-y^N(g5Jla_UYk;##n!I1yp&Nrh+LW>zg2K&BYNFI&MH
z0rt4%8I!ee8L5G>WUb9Eo6XoVCP_R^p?*KG44|16tJ$Pa>KnoR6+&1UR6hey4{(GW
zv`2Yys|sucRl$SU4`&RRBbv|!V7w5LTg~fF)}T{ny)2mZ$$^;lb=~;q;t|w!foy2f
zzJ)2mlr_niW<tekTQ#Ra>R5A)rzmS1<5@MLwKli~c*4j%gWd<A0lZN*xcZi5dNj+Z
z)c2?|Eudx$+QV5xgyx14nCuWAKq->Z+5#FA6R{kCWr8Kc3^Ct*NR@0ZFtykmL$De6
zkm{3QM~rO650>yPveyqsblD07^0vpW(ngy>m6`+Eq}=!c!Hv%h#Emy+xN*Doh$%oM
zOF<-s4PBLxj64GSRzUUzB|kDL>2N+FhV${hh6D48``fw%BiK3gW`GeDt9c`;(Yto?
zm9w5jf|0~zJ8)nJSu@&k0J|L)pG?=n9tL94R3DF>+7gx;WG;kyV-1=pRv(r+RtD80
zg|b|rHS7>o%ZNjmaGSiIO&DF)o}dMk+H24@)*LEFK3aWsE3yJ<)e(xWShFG4ZrrRF
zYcv*}Wy@1NR}1ZxI=Ym%{zCB9^O{q7G2JQPeLTZsIi|SlAxtF5&m2HTTxN3K`Dy#b
zzgFCg9GqGh`l;c!$()vIe%q@g9pV?o5Wg_c5bw$l@f&LGs>PftKxe0?&jnT#txZoK
zH%<ZTVCSHb27c@T_7H0}aIyr(tYMWjjdl~3T<j=>bHqMFxnV&LA{cV&k_GibbH7Uc
z=YySJR-H&nX`4!d42e#p(vYke?!WdmcvuYGe?bY%=~#0A&WuLS$4*r!`<PW1H^#2=
zxPiss-6;7_Ji5)zIZ$`qf7EnaukpTRditc_f;~Q>89xt|zG<=q0%`>t%osS_0(-ao
zWk^DZBNOJ0dIsT&8A~U4_ciM$_&}x&HN*R5tA!~ZqT)U4&NRh)P=crU&Vjn0&gfv}
zWe>7_?rj3!f|4)nzy!W^dYTkDv*|oxR+|>h;@LQAW7e=0xgm~h3C*d;yijq>LrO`6
zUCXiR#TmS%%M2bVHln8SV7BeTT+Z}8ms4skZ|i#y={)vd7BfLD_dkbkMakE5pSQON
z@1CAM1<jG>ZXRZAEU<J6F;8(o#&KwIrqMt)maGP;lyq<ttgX}APi(6?p4v$}mCwVf
zIyLEgsk4R2K3^c<<^-XIdsa>M8wVP7+I})%1+owQPy0P6d3w-k-&i`hYY+$S6C@LG
z9IEURB<K|c&cc(64<O?O;LLRQ<i(wlwGx(y9h@L(wBj2rKa7ALTP@ZTfivrAHf-XK
zS8K*NkTDh(7Mp(6Y*xsc5iTrn<qHdhYIPE+rBttgof`12D+*T-Y#dNfv5N#yc1ho9
zTYyt3x~9U~S`o4@NJuCce2-qSQ5`NIJ{jE0=v%HEx_YHgXX~fp8G{UU*)m}iVGUU{
zBv8sEV8UJ^Xoj=IZ_L1IfxR=!qi6W?-a;K)FA-{$_qKgZg-pj}!sb2eW8duz-nSDe
z{{Z^+%VwD|ZL^|ov=~YDH*rP*p39zJ94RuW5^M*vET8s_!RPPyLm~I~D7Rpnt`q1!
zo6X>U62CMa9?i42>Rc)1`9jw|y{)d@z}je+Wt_H>Y@DYH)$^knh}d7=)`;E?`L?qH
zCqs%WQ2CZL?3*LLzAgIQo6>J!iJIcEov5t~g*M(tvue^wl<c;9CT}{0ji8H3m6Tap
z3qqr3OD$~v&JsyBCspeQEw0Jp{x40@xclGz%oI7BvG#X=epn;PAt~l6)uvxt$_TrQ
z{|A^bk(Fx`$BidT2L2}GHd~=>7O9RG&4>qZor%_PD(qPm*qOX2_mKAD3Yn#mDlEXN
zl-!?ndg<~^X(E+cNS6(BT9XbwbQ*VvPe;~7n_=z|KZbF+UTIp(T#WGVB)U8$TBi*3
zHvyw6dTpD*mN{YFivUE(e`<pQObx0P1ECN4n}{5^bE0$Hfd-jKrud=EGm(Og+z2L?
z{hC=t5}8RRse_rGPtee)Qhq3?T70ahqRYrP?o{cr+&``|f|#)`Ec27X2wM0spegMk
zaJexEmF|h|F!D*U^H5&w?0^}*4s-+;Z@FJvK}K>Z<K(VnFR3c)p133Em<COIA2Tj#
zcN_5|Kipfp3>V(s0gPV}9EagFth{=YVRDg;%|*DV3OCstDaPGNNs-N{m+ZAx+W{)D
zqgIm+n%y^0sd4va?ng50RfQ{mCpmZ$p8WR&mN}2l&4+oh3~BDP$P{h(VM%@q*YsC1
z_>@Xfuy&kf5}uUXW@MM4d_muuyluv~rCh#62rOBegfYlKVjYfhF!Hra)@sdaN5(_k
z(EUN+2co)-O9*gEO&KSQiE?=^Tk9N7nBfXdNfV{g&DdMXoQNaQD1c921DovPqT{L2
zz`POq0R-y`A6z#|QG>1*pziYWv9id!SjKU81<GXA51nXjvTK(6A9>{LBhnjb>?-B@
zr(AvkJ=|>pl^hSI#tMx7=EjR?*lDjtw(s51DJ-N1dRa(njk>eQjcXWD-3o%vGqj}c
zr}An^<pJSjvfrz6=iuazOC=^e+^p;>r}D28<rP2_QjR>rc0jT{8CTs2)UPCz6ld-&
z>(crZWKW=iqU3Skgv5=6nEUg1SfKn0B>_toE6P$xiZJ&iHJA#ph<;YxQ~1b_EkBMg
z(sG9|sJF}a;oGDyC6Vhp-XuM%khGWqo?4CO>P}dT!w~jN+?J@<ov4h|iK(fQ6ilL?
zb5cri@u?E-YOo;0Lz%5CQYOVmMV`f-cya>%?8K%p{=h90Fl$1bZcJRJ7JvvQNp6<w
zajPB5!ZU!wbg+Bk&M75Al2_7@@@xB9p3^)Qa34kDMm&{lxTZgZQd@GCUeoVF?yhTE
za9LqZyA5P_7xCYVx|E-et7%8F{toGVBV1BbP7tQT5m+;JUHM^11V!EpoA^>3QY>y<
zfP$qgKZR61b?)bh*5mHy=%eRDGxDkUtS-Uo<gX4W@(R^-P>ntbyf_M|@(_HSY~`sy
z7q;Ly2loivUW6AMj;3&&jGaS!QM0@jeoqYmvz!+b2@y>l*pU4d;nkKY!zUy~Zzh~g
z8#0X!!uYV7)huynP1Q<=UpVEh*l?eKr$){&AfyHzr-ks;t6>mRh9i7Mbcfi(i@fP@
zAqgIQHXKJ#5iHo5>qyEU<0@s=Qzqr<uL++1XU(Dg_;Ng#;q9H_>5pBhZTv?VU~%{D
zdmH~RqS9d7_z$`Lt+w%t<ZTSZ9(!V0%8eF^0*+O188l-nQ}|sjHZXs?&T2s~AOOCu
zbLX*a{3b2P^KdO`mXS6w1t&z|QG;EaQA4_i2Ud-(CcKHW{?Y{|%qVOSu+8ekE!h<b
zMQCskF%X8hO3!pU3!tn|dTNQm#*CwTyR4?c0L)=jwdI=90Oo(NjJg6CvA$B=Ko@Z*
zw+1lzEp<>`Bwx$vKh6Od4JT$9WTYVGkY3$n-i1Dwx#nC1G6Wem0WwGQ&M4<wVVU(0
z^hCO+i1N7LKp%a<nR|2zhBJRUpy)4D^L!T0B=4o8;T#CT?NSzhW)+^;5qz$FgIqNz
zN&-noztNy`_BQTWd*nrjI0}{pA3Es}3dCU6=s8TjHjcT~eSn1pMY^*>@Zsp4?=hyQ
z)Qc}tS2CwwFItnB|Ht%fimg9?o_Jjs0x9M?Tp(RK02UJULdAJ~C#(9Bx+{-xsW)JR
zv1GrR2F<W(QkP!mSAL;#eUS4RlvHe&W49;hd`ey#0A_9&CV4}^@zS?K?;B4&M^1V0
zK*otXpDTdVa83hkEw)F-*0!}~v`o6G7g9dWp5RM5;i4l4S*#Iz!kLKpSi#ifrR;*H
zvHKpHv~l-xKXa$a`<EM$_r$#xGzi>{up$sMR3=HHOO~GOJR(sJZr!w*XrZRiHfu=-
z`9U$r4-7QOzuIV!om05y!@3UnuuDNq`WFpTEfpv=Jon1YeIX~~R0I?b5|9S_NJG7p
zWdIn*&qugu3tNq{!Ia4ij;Jn`REpg>Nbk}WoeWkUw0f>UW&2uX$4V+!c=Sq8y?SFJ
zXGXYLE{x-M3**>WoZ%RQ<I8MXVL7>5g_Rj>digpX!o@IwS!C|c+-FJfqYLqS6O*4q
z$&8pB#5}8tOGC_;u9RN)Wz5R9^|~+7)DEWCeSzEGQm?xKeg~va^`e|@YN1soTD8*i
zI+(;TlTfs7HqMjFG48wQYZFQ&5%$4>PO&OF<e7ZZn3yiJOfEZN#q!9>nY<NFna$9G
z`FNU=Yq<Vcfyo7jLAU{frx)M_U_dbxt!mjv4b`z3*2qeO+POQBhOKo?XVpYCv@-b&
zmT4cT@OeFk`q;z;8!>Dq&=H)0&<8!HPjRAusibPo(}hjgscu`4mQ#akrN#uGmDM7$
zZDaK3$h^%0Usx#7onGzT7q9ZjRUX;!OhkhhhSuNiCiMo>zyGZl*{AjIzeDb>`nQmS
z`R%0#{X4%+461+UYdQUmoc^s<;8`jEGI7g}NJ)Te+Cux=Tni^ncM~oA+DF@v@g#C3
z+S7rsx;)Vn>b_<lL++oZkG}NqF<pZ7aKz#m=p?mJ%@1;l(ew9OYd+L#H-;a(pcV!Q
zQJUW1j6DZYC7^NRdbPOuOn^5BxuAVhT1It`iB!UWS<XQSO&vEeMY`EWDr6_}sF*Ne
z4I77vd-{A|KQ!j(rhYhu?F~J{IV0V?&z90^!;kY2QZBh&aLH|Y&igUc{}6yqP4muh
z$&aoSpgV&BZX3`&OjH^S&^^HIZwct=GT_a|+Yp_CtxuANVKzW?9=<=(vn`(B9<UVr
zaB9}<9jiSZ#ouhOsL8D#5eL9S6j1`2$4mHDp>MrH&W-y}7K>6v51mvsGvc{m!dVw*
zewM{C7HFAMs}lIo*E0R5PX1L{nFz@Ah;S>Qf)Yy^@H8Ul1f?TO;_eVi>jRNpon)Fg
z%+V`ylC^AQNY&^jcLsx0wO*u;hE!*fyDOv;lBjP;rR2QOya$C;`C85#K?KsYCyB;0
zv*(22Da?SXYgt?n43Z0%9&U2BLAYfTRCVNx6~JF{J*Zm$K+mZA5t@Q=_c!RHFHH4e
zU4k&xnK6pII*9$FP|rBkqn$O9zgJ^Y6yjU|@Psg%xIX0pM8aXSWx<ONm+|Q4gaVc-
ze;E-LaiNbQAO!@Fw2rSbAU+aDz)%4maVyWl9l#V%p{=?IF@SSr3gXCNWMCM8*C|3Q
zEG*ngCn31F2&3$A{FD{nf$c<oJ!aghzTUpDz_vEJ)b~3t`>|zgem@4C1snf~X3B0y
zH2Zk2l&y33t?BSsu>Dz~@Wyt_%rOkL2#y^~N+}Pd_2yEy?B7I>%!Af$+MLVM9`MM%
zH2BC;SyqhLOm1ZI-p`rWAtbe{R`SjWf?FU6u8gDV4|vM*v)i|a%lC++g8}F7aQj;V
z=dWadvj)pr_^^)0(D~T*ajUH2T-J~E7~>g<+Yx^of=?m#G>{f<Y9Xph+Lzn6-xpa$
zt}nN9Ur1c$fPAQIm>bAi0%Y3&&3E+bwwpC=_5qr&PB2~VV2krBY=SksV(GhosEeXL
z7+~Ius<xCm8ZiF{1Wi}KEF@4~wD(|xR04i`fH_~wnG<=y_qX?i#+n~9Dhn+fq>#G1
zu#i`*0l1WF02>uV9>QT1zQIHo%Jey48ifvOu91HW-Jdln_Dq)&FujR;L?$^b$e@Le
zIEKefywJe`4>>DLhbAy5oxtOcB}LI>7r$^?h5TM2^&E;h+-h(tqtV{=-3FHK(@FQ|
z*jCFl=NV|8cRM+{o;C{LjOK}!w#8ievxRE&`(eQ^L^+*MUl{EiO$khtAabVlC*7WI
zIg%~V*~8oF?`&V3kr_&#1-CoOOWPXd?dd3c<>t&#2PxfUyqTErH*B<46pM~^UrTAH
zm{r^T5XHuO0(i|ZpN?&?Dz$`8Hp<auWO;#ESRxt=-@Efz_(90XwDCmg^WAI;M_SSd
zpybk~CIz9kZ(>up?mnj>-*UtOB=3WTQcYghXPU6?$7t5Z-H-M)d2|WnBf11z7UuIC
z#9b$azK$b|CZdFqM6Lp!(v^St@+Owe*>iHXv*J`eb&%R#CFvOdNR06hb&vZvYdCX`
z7)1>h+?rZF;`0<9SsaWbq$UQ8*<7X|$|BMo0v3rate%;jsuitRxZQ!vtMYX#5X^|r
z?7*r_Hexa^!|4h}X!f*%fM|zST=$hXpT4F161ARE_0xi?e?AaZAIVcSfBEk@xhmjv
zuc*W~0naJTM<w%tfWGF3?6@gRrnN$Dkt#EnQeyMFm2ekYn}E^=%QR<`X+K02`Yzwg
zxQBXzSSWuUvr{~N%8Ep~*qOe@DRXswNL;$@B%}IOQMjkONG~cQyGnYk|ICH_R1Rcb
zRO?G%)-#nWW>xt2F7)Wzs_-ph`N6CT-{khUvMMAW<O^&#{w4Ptd2e3)B5gS@H8a9R
zdi=7%p%Oy!MwP7W(R_X^$KFuuMBU<I?YeTB>tANQ%5(ZP``2^&fR|8T=w*Jj{`NiO
z?yA3uxlR#5k9RooYhlm>k9;j>nt5!J1qHK?H_Lz_y~=T2mTRyN(WbOHLgDRy6NEB;
z-drZhOlk;OtN6R}D^XBo^GtfW-8W&Xu_@n49~qTvQ{BiW%yLYZV9XK_W*Ou(q)^Xl
z9{U9Ih>*(h5eXBJ(xo;oqXxwmZX!elq4sIT6khs5iG^dLZ)7!D0^e{oCoL9rdGHPK
zoVIvXgxsG}#Pm`$ozBY{F)ybzmHWY2muVYOgx#5W`K2qijo27saa-+s8?lH^gKZ;K
zZhxz7<l<ka#%Wr@+x6kV*7JaR!J2-#nzHT|Ko_;g_Fyc0cBl~8jT8ZdYgpoAK*WKC
z0cMgIoNqX_DI`8#e+7f126bh6I!Q?s@ZrQnYfbrWl-o<qiH!MMEhU5ZPHLn?iza<d
zY`%wx1!LAHyVlpYHCk`1SJ)PPbv|Dq^QmPfgY@@ylO}_ip5NVzOwrKAMeeT9MaY-F
zp^FmV+cQ1qYdQ0g{O<bwcRKR@Fd6qt5)$i;z54dH(9Wv}H7v!KxG<@`3|a{3i*SYP
z)rk$3POxy%@>CpP!wuHg0w;aMnGx-=2;)e@6q$mo9e5=Y6nTVukS|X{us*zA5?eZ9
zd3q%WUzoycbk;mn52pvA^UJQGs0c05LL1uW^CxT2dUd#eK<qs3ev&?VMtbVF`(rzg
zC_Zt;5XI*(#BC#r&k~&mLlmFk_P0b7PvgS6@)J$HbZC1H^&MnVCd6&m5<TE|mSgXI
zjAJzw-7?eAm@+<Q#(k81M=uF&R=qe1^;{~E50R>x>}2YDC<4t9_Nd4LWvofdt50qf
zNJ>>Pg|JZ>XHQklR1W(9zO%$p_?tWAP)`C{>ysF?(4}Q3rlv&4Wd1x5$>n^^xg^5t
z39}+{$})o>3!-QbC*2(DPc>73TSUs)iCbZ|oph#doluwy)F3TRbq?qaB!L4KX($N1
z;|m|G3^bgFgMF`5!gXauD40K~q@bP{PM1&}63TV&E0wZv*=v0rx8}@*n^rQAkHWU*
zu7`P(YV*abYf`GzSJ&j#HMxbe{S{x68oMyE|5~?QeK2JI)n4{?jqE><++C5q*ymp!
z$o_ADrqZ4y()>4zy=0bl7uX1AO?7&jamXIWI#;$tQsRXzQEnNVn<>fSmuYeA(M*6f
z)l!gk{vONO+GQJ@qu>F)N8nSwxi*q*r09@|S-~sNY6#EwKytkb<6Dt0PN~$wu=6ze
zZ0=4*YvLv16`6lNIjB-7wt8ni8J2gD!%lK7g<6Q5W>|*xgD&6H5xDdn^xD@jjS1|`
zCnHkL@B@?|!H$W8ExaxTKMsgyC~o@_ewO6VIB4S6p~$aQswT`cc#7us;et=F)=7>w
zd_SVde3^%*cPED^Dg<5_TUn)mA|0fRQdIIbf{?db6wd}#zDA@VCLX6$$X~m{p=!`&
zv?vQ8^eWz>h=hXz5sA3$ozvGOB^%!5>gT@XT5A=@9TYx24%5_qb*maLqWI{F8F=6n
z<bVyfg_IGTBGxP#ROjhrR79dxFNx_SBXQK2{khrDS?na^`G*xmkoAKK)Vex6<3MNX
zD&F{=9F{Su(pvU$EuG}X!jnQ3?wg0PTt`K{>r0R49~25FM`#Qo2xWsr^hUi70{Y7s
z)Sx(`LMPW)UMIOuggmR%;W<yyNoxpa2s#WQe0BrF1Vx-WjB8fIS?$<E$*37eekDyx
zu5rLrhv-T#F3a=fcPc*03D9lH(Z5M4hdBk*^+KBdG)bIfS5^_ydOkUV2-k>n2+mJS
zGMCg4n%Tisd}h(ZIKT?&(mn<vd%0gN2rQt37z`cxvdWE056Ns5g7abLQYRUsZ)k)9
zSVOl~ApkJt2Lf|N{{)L(%Wo_IbYBD`^4sY<5AXW=f9^|0+g2M##md0~%^akZDn$*T
z<&hXF^2N%^N?Dwnmi=IHu5K;QA!j((NnS-IxGN}ub81{lz}o91!$_Zf{cU%GvZFzx
zR%nJ&(q_h0GZ6yag=NP=+-houf}@~`k;trK71blVb9y+r5j@#K$XdBPb@y>BNF4G^
za)j&;=4wSB?;_fG)5mLAlY=4NU>a2(kFl;Hjgss5xA<AX3nENO+8gOL1bFqIC0~{R
zDl-XDdMR$BiBSk8ys#Sd7jobkaF1W3C_|}WI7*@-jH~&4M=ZQ-x{kHFhPG_Wics6D
zY7q8I6<nHinic380p7g8{o7-C%N?APCBs5QU`>L(5P+9MHB=%TTf?h_nBiJ91a^ra
zDZvVLt3k)v$<bUYtE-fZ+8X-D5G{*3XWvhW;`^k1m;Gk<C@tRHMlqXi6z*rBF()IU
zXOKS~_inm#u7jn`a<DY_I&uO%qKfIO-R`eZy1s#=>J2;YuhXfcawE#5muchAp5M{&
z9%)7$w?zGvn<sCwa`VI{t2WO#8KKcppJ=QY-_tz2c^<|*_kEr_JI`I4=YGt))apDp
zFdy3!RPfFA9qt+$v>Wad_~6&5xKGkIiZ18Ai@wo4clR=Vqw87jyXhPGox1O#Z*+p`
zK1JWiAQ&fyvdqjgaR~8JdF9ix5h*0IR6a4~*%Xlvi~#0uRsE)3ADs32LZZ$+lB;n<
zwaSH#=IY1x6GXJ%y{cH3e6lMkL85ZFE!sK`;Py8Kg#|leSH)W`5rzxt&w}>v>pTLP
y&^7}|8N4zi#0v#PgIciWk`L%)X8!{UP#|tQaefJ}T=n5|i-tP$1Xbc{`Tqe?Y6R;5

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/.buildinfo b/docs/0.10.3/html/.buildinfo
new file mode 100644
index 000000000..4732a5974
--- /dev/null
+++ b/docs/0.10.3/html/.buildinfo
@@ -0,0 +1,4 @@
+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: c4c49cedf157569aeaa0ea19b0244ce1
+tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/0.10.3/html/API.html b/docs/0.10.3/html/API.html
new file mode 100644
index 000000000..be885790e
--- /dev/null
+++ b/docs/0.10.3/html/API.html
@@ -0,0 +1,293 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Readers" href="dataprofiler.data_readers.html" /><link rel="prev" title="Dataloader with Popmon Reports" href="popmon_dp_loader_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>API - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children current-page"><a class="current reference internal" href="#">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="api">
+<span id="id1"></span><h1>API<a class="headerlink" href="#api" title="Permalink to this headline">¶</a></h1>
+<p>The API is split into 4 main components: Profilers, Labelers, Data Readers, and
+Validators.</p>
+<div class="toctree-wrapper compound">
+<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.validators.html">Validators</a></li>
+</ul>
+</div>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Readers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="popmon_dp_loader_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Dataloader with Popmon Reports</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/API.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/_images/DL-Flowchart.png b/docs/0.10.3/html/_images/DL-Flowchart.png
new file mode 100644
index 0000000000000000000000000000000000000000..696eeb5dc8e5b8d10dcb1afd7d6f165301904cb6
GIT binary patch
literal 7609
zcmeHMcQl+`w;!U5P6$SuMDHz37|}`e9wJ)w&d4CcXhB4ch|Xa27Cnd>GJ;@6PohR*
zwCKHE-uL~!d+(q3&%5qD&pFTDXYb$M`|Puxv(~frd8MbLPC>>@1^@skG&NKV006w+
zD;`EdboKVBx6rvF1dfW@iU2@O0{NK@;nkeOPQySO00`s;074=FfRigx2o3=769oWP
ztpNaV8UVoPmDQpzccqB1H`8>`)&}rj@gx93JX*kwD-Q4K0pKwMuDxAxfQNW2|K<(w
zc>lrR0{~IZ0D^xo=2!H(SznE7o4@G|B;J2|MB@Jojn|93@h=_#yFvqS>e7x^gw#vp
zu`d8X*>gScQUoYjuDm^VHZp^nX={P)Jl%zDo_X5Z3;Vl!U0VU<{J~eOyFJu~!{6P_
z!x!u?&-E7qe8pdjMYuTrf<Rs6xy-cnIFvno>^Y=_C51(~AY>dI9CAL-9KZ%DYX6vD
z&E&b9pinQchzJY@6NX6$d-^zvh{?*ziinDfh>HtdA%uJbJfJrILLR=Lzn%QckBYso
zosY8@)Y;R6<Jzx{t*0MUo{Q@`(7)T?>x4Qx{AVN&-+$7&N>JolBO)d&D)MjNSEh2;
zQn0R%v;9@%YyS{2xxbMAP4-V5Ig#t&|79_MXZn})Dpd%XoXEeo4ML{X&GQ%lU;%5Y
zC>r_WZDf(AF^s22Qr$0!9tl~$U#r$dLE}9a{Yc43(vBNk0HH&_(z&TaoAO~vliTi1
zx_2~Fff$A<Iq^0-u(!mUg^=D`k%mT!D>`IEFl?P-@N~SgyQr<H<rEvV^8N6Xy}jzi
zno%}*SsszyF;wbH+U0=HZT-K$j{ry{odNb<G+G=ip%?3J=|WwnG4T%w?*>zC2)4Y5
zvQ`l6RvXY?Vm`Jp*AoQ&yd^7s_-B#xeR%#mko)T|4*FBGLgo>Y>_SB+Z=XFDXjDz|
zl1)*db>~weNn*#+eWQB)e)~DYZG|3}rKqp4?7d^E!#Y>9I_e`w0X6*Z5-*>2{ia8`
zi#>ika4T<D%uXq}Nc(l^l(4HkzJx>MduQJfy1*Ku6mfjp<q&qFQ=4B!LRG^@HYIuN
zMTEWLw5>PY88RApO<=-R4&}Spq2*?{okMpSujg_+P&w_ui=@(GQkL1#j067$(aWt1
zCAHVRGTs@Y-Bh2H`-0P``Pw(AV`AASp5ZG9@kYj@AhX$hX@N%D+k7ds?CmlUvYE=!
z>am3e?vtYgTAc(t+<I?8(H~vc=(Ibp=UN;uL&9yzSb5SzNYg?{-`>I_?!~%zPEP#4
z@_)1m#*ZFcjH133z(YvKL_&W*^Hiv?`g}LJHS3E5{xL0X@YRhGvU(DCMQJ)-Nxb8E
z>ph5h$a>U+_rKIT6~z=hAOgxrk<4-o4^C5(MOFsC%R~?VM)Nn7dV2Xd2QFfDjwu)2
zPQ{voLHOrC1c6(Aa^Ty1qTp+s7e291uNcm3kJZPEAguC$fR)~Lc+l|~4|3jL%*ShR
z2>pUw`9asV+|s-m(`?)ye#)4*D$T>dm#nOZfpi}L)Kjfp-uLew)jzyn(lpc54?(zl
z5v&UFnylYc4A!59);K%`ncUX2yZGT0{&T{e(+K%n2KxGz;ERgIQ46!*`ua3V<tFKN
zJI+hmnIBBwDwJg)#?PP?{dqf65Ow5MS5mu3-~c4Wz3zkDPSS)E^=b?hw*G2`*){1M
zz29_lEZoBwfB!kl*YB*|wBYy+7db5mru=S#=aU+FmoM@BL7LF4OGz+(oUn|rH7WY+
z_{g`Kno?FKLfReTS_izZl-4DlU_apB<p(8^e}NU@2L5!6GCp-aiKT9V**R|l{xJN>
zeA1ZBGhFQdLK@C=E;#9ugKqHoHPd&%C@fPpe9Ck#0jBg*`qo6V{hmG&>59SQwJPw8
zo6QRDJSc-pYzIt}j9KV?bTlS03<#UaEpOyHDWzyyV7k$~I1W^n$#9OCxJY@{DD7Nv
z%B<}LU$3F|IDSkL#m?LfY;p{<!#b6lMtPkdD*G?=QeR{yb%#QGQ^Fm5p7?#Yn(ZB!
zP9}lsJtB|!{-MU>!z;)^Yr3mcH9fMtRqa*L)%yP2SYW~6((1z&4RN$kaWDg)nM+0k
zE1z|vD!+}mtsc6Ws8X5PnP0oD@nFHuMmQs+J{NKimyww`5x(Xh$F+~_`DEUCPkAS#
z5XzRHf8NsAzV<<UjPh>Lt_hc=RX|fhlUsi6np~XOc&dQ*FI_>4>2yrAppa0UW>w&w
z$%^pGt%=O+&wH4C$%j_VO8ZZ0Q~X9Bt!OxXoLyg|xtI72L7w7%W9l~<lJ#TyW?6^Y
z+sY}C-zQb)LW_2dK3VZ|JUTqGZXA}&PA4XlM)SX1r}~0{)x+SY0k}FX^xc*IY6`5R
z=bM~zIj|{c;j0E3mld?=n^FWf7AX`Eu{1qitJ69)W(O7%6Q`sglI+XX-`rw1*l^&v
zjZXb7cBk8PL$*QgL6hR*Zz=f(eFC(HR%qK1Z3mvU%2eh3jWSBY%x$ILzN7qcg?!_>
zIJ3su@%mM~#L+P)+sx^XVEGNz@P?TLp{ws)64)BQ>-WTUXfC(-t8JRFagZnm7sDIW
zW=8B&sZyslsmH{(9>yyFK2~M*kbbO34b;ywVuf))A))+W0zM7?t*^?jlZNiI0pn(s
zstfKqF}F~kQ|_yg#lKF38wA8DkttDe#u?DhLuWRTO_<yy{37#G5ioFJ6mwdA?8dJ6
z5bgNs0aV-o(h}KUCC&?2`^LlBP+yf=xsI+yym-ibZp}|;+qb;xEp)m%;<Ba@U}f&N
zp;-{W==_s3CzhVNsLmK^U@_Rs$t{{al0@4!NH<<Vk^Vr6X$n1}3AMQ_hSF07E47aB
z!AV%NN7K)(P@yM%Ht$PiGO?*xUR#8?uCT?2&vY_jMNkHKJWmIRsgx~bG?AWgO(FS$
zvdK-i<p_hKK!+X{T9dtN?k`wt`zkA<KLMM5r~giZ?-8P^dcG-E9QVUCvC5a$UN-AQ
zU~ZrO&+XOfJ?$rUy!%Fhu&Qdi@`<1H*q$QkqL8l&&1;3x<>SqKoxn85DpeqB6lLCU
z7s6rqx9QLDt-Ekj!(v^9I8R{LUKu!ZN_w7MWT;zLrZKB{=YaJ^|ChZNP<W*?u+X*N
z?-m*-zqqxqr+DPesuza8`r}@@(2JZ44~F28q{0+CWhQCKW~EOvE`h0m^ZN_TD35kX
zg-CkYzz}+=V>!<b;~RaeqF_$8?8XU`kXlQr^D?jF3_6PIq+knemReJ2MK+xO3deS5
zba~t9PB)@E0dpP=;RolmbCaRSZXI$ZK`1EHBu1K&;?a)Xb{fAhj)c`II0qElqMOPb
zb5Z^whJwWEbz{FTt9djOZV1KCh@E|4rM73W072QcN0}hq>`mn%Uz51G`*|4Y#uI|Q
zngYGp#~VrmR=-LH8Z2MF^0--*4>+P#v<5KDvA;*)55;N|h+?T+HNQ8JFN8L5p24Mn
zH|C_ev$~fVy^G54J4S+=cC#T|Sr3$-bLSG1Iy~$sb>&9R3>@!JS#F-4JHtFau?r6W
zh(j-G{DS9dgj<g1+z%bn#9PTIbd$BY8Fxt(AILK#)=W<IOvc$f02+mO?MwAptX2P=
zBOe+*G>J3o+Hj~UKcl)kN4VaRvDu_QlmyRJT0WB5S4a}~L*?)vx=o#tH<hpf$|k~@
zEL`aj7Yz$N<t{-!3p%*2LSZ$ZO&+_i4w<?svX!FTm&~w0?vd;u6K-C9>$V*il1qPC
zs>xA^0D5#dV#`w@uX060jhe)<Ekfi8T{q(FrWKQ7VJ_K1)MZS^A;khR^yu?j>Zh4>
z-LgL=0&u&2$y?-SE_)@^vsvi*dHtQGEJfm==h=}*nu;{ZR7!=47LD^V;k3(}QLE8x
zYSo~VP+pF<fde^7j*E*&jbv<ys3jvb(p%#qyjrE8reLZpTUUjO>*UQAA&P@5Id{ZS
zwabP2`&#0|%AdoE{cBt(ai>em5}`oW(ntw?ksf6@F7g600dK4ufsPToE0O(R&x4Je
z<2;~uu+9CuFK`C+1VT#213C!cIV1Trb|U$6xI<s>k{Gt9%10i&)fQhF09<aecuo%3
zX9+VS<}aHUg^`2G$=IG#_QjS#x1xSXl087<y<l*LRptRhUvQ?3Yj_BTE`BFSmXN)7
zn<A%Q=%8{4N-MO*jz4!-63ZfKR{TL4Nb*5pC5F9$TOmwWcJhL6j_SAEaSxsV$#a<`
zwTNN5G?V0Da(gDl_XhLrJIZYSjc*htwFHK3<DIo5f0icfOdRO%{Mx~298h38H034D
z-3NwFOES-b+3e5RS*>kv@4KX?n~dL|K$ty@Qa2}-Wix4J>#s|)pjw5AfmyZHC|dfN
zdx3~2B*`Ag1msK$tauX{j^XuqfH=cPB(7xV&Qh_#1cUc=)AxLbNf&<XrZ+5dPX@qd
zzTTK}I!WFXU;kXqV0QW2br3qA${e%`Z_CVr3P~6q)tF>HJ@Rv4&dH-%d)FL)IdL0L
zBg$7_L}in~@3z~HsGoF8YBL&SIOLfBlV*eYU0wo)M&lhTf;yKm-`h#>L>5f2V7efR
zg5xY8jzZHCWOrflVPkrzkIx<|Q1T_ZDS75YN_gIsUXE?=y}&qmvsuif1SM)g;;7V@
zFGAf34MN}q8!E0zs}B)C!bvxKGy*j6E^<@dzQ1>=?dV7Uel%?SSJBgOu5(3610$Bw
zwghh66Xj(DlSP|Va-6%Wg`s8}G5m$ZQ<5jzk0FQ7zge||V%kh<*)*u%I<MAQ)(tK%
z5VVW$V4-FB)$35!8UgewZHDc5pAnvkeWJ6=9&Al~G9Y>H0tE|+z)H0RTCCsUS2hoj
zWd5OX?D1Gpo;SHDa+p)pCBx9LEnG8q(7iAuh<=4fPq<AzD6O+}WgKrzenB)Mu-<--
zYh0N!(zr_9LAT(d+`<Kt@oH98j1VHF$08#d5qvHVQiz+%3FMY|<BAS9w-p$09#!Q$
z+jv<o1>qR&X3=gIKITns^s*sg%+kGlh3Kn)Q*X#~#)z1TK(t?g$!|qHE7JWwZ&&*q
z3JJ_Dg}rSAgE(?6VjV!{5`&80Qggj^qsT{ag2kSWx!>ZYXE&N&w`3fYBU}@Lqm9T?
za7`qLXf;R6DHEw*45#XEQ6HI%RLZRylvh&V5-suVYchq-<<{l#hS-L;xhKX!lg}9p
z9vElDTZQ9BxeT+1RQEzl?a@tj6KgsLrsxP|h$+=ZxpMg=Qij%S66>Eq^wpls!+ej+
zf(q(w1z;j%NdJ()>5sFtGMG9S$Sw#eJx@Ul6haAs=|!FlAL*fVhNt{imbSnZW*ctw
z8WZ7N9n!TjzJwxG9>b>M2@pPxK5Rxm%injBI?e^r^ZX=|`a<ahl|lg9$?k3+r#BD%
zSV%^j8IyWsxg%WaBmd^7OI;izx$~|4fT3`g>`agEc^bn}$L7DRW#Y7;r^*s8Iq+S<
zz5p`w;_Pn0F}l4M>SDi+`RfR+78lfXaW(GwhFJRiFtb`Fbxmfxep0E`(P+KR+sRNN
ztbT}F47-3Oy6Ukuz%uJGs$iFxl0%R3cPn_7$Zb0ebUYib(NIOTrd9;fKQq%`do)7Z
zO8ANAxSe{Nm(7pCZFLG-H_E7D7(Y6V)g?M<#>vmgHCm~@9$}Sa<C}tqa3fPkrZoae
zB3`ZRKDqO4m0m%q8Y!V?{HZCQ?}t_0IbdIHRm+hx?#^jJ0;W1qV^49<6Vo~r?6%#3
zvs`j^i{i{al@6qF?m5KkH#taOXHNoY!!9ryhq}_-R(1$HEgW;~O4}2GhXt5-MXC+V
zz7+2n%p}Y5Jzu$T#<horjJ=BtdaYx3x5=DpXnb|Ntf*I>tTr$;Eml$ryxvn|zLh_x
z<AN7o<RR5E=7PB&(8As|`mrczw7(#!5`S3Lp7RNYuMYW}<&nfD)ihAMi*3NY?4+V_
z%M{MkT}RLt{H!Hn(>&UjI(J_W`4KXcUaD?+Zlrp=qZ>Z0NgriC-dqZ5VGH6+$eQ#S
zf}_5pd_)I9<!!M3DLbVP=ke4RTk333u!CB>&~|B$<l@=`p50Z~^ut%#E28!9)yN$s
z&%d?aTTZ%QUMYz0VchD1&3=jHXjnArsvQWG3)sSWAKyz$S<R5W{8GF<lk)>aA;;_T
zQjn^G#ed`!qV<7ptykyH<kONy#Uu-mqi98H*q?qQAi)J~d)P(97zV0-8AZf7?j)NL
z3#|wn;YWo?QDb1LpiX-?hCU(?Vef66_Z?b<;*rK)&YQ0uMLCF@t5F`RWVN;G7=j3^
zt3ThzZ=jZs0?M?G>?Ms~Z>p2KOV<VwG{mT0zH3+~u2C?}s7m>~M1Uo?rr_tL{7Izn
zmhu;8js|@q7^5hsF)0h24^%HnN?s53I|86x8kRRFJ86h-tJvYrpBj(G45epXb}W_h
zoC1Fk4Uh5xJ3JjC{L8SU6&cvE6|ywu{p`+Q!ixGGT=t@5zj&U!e&~)9^y--Vte7X0
zDmx}7^dsl_3==0@zD3Dy2KQI3n4in3mb;vK&5DM3H_qqCwmwHl1^&)`;>BtHw6)F^
zTK|N}wxRY8)9Qh-DEzkKN0~}bD|kZYan9UM&MCiIgxsKNLFWhX$x06+dck*icVzr!
zr%c$&$UX5*W?gWSbn&kK$zb|TKefdH>TxdMxtwx=VBD?YW3o*oJF>c<ZZyW2aI6*a
zb+oTxFXfy?y2+nN9dd+MR#`n(?;{|i$C+28CZd<nm6$0^_Rz7`c&pF;$J#<BPJw3Q
zHn2SCUfxi2Fo-PUu%<BKm72qHO>Yzz%U7#2esh^!!^S-j=JZRc+sbG@EFth&FFJqo
z$h6Z6bal`UUj`Z-6Sgp5qEzvYA2yaL--CiO!aS6-M+!+034tk^ZVVik<SR#?60w;e
zLXR_P^Ca`;b+E&u_<GdS=CqO~{Wku|@M=GI{@}JWd}V<!m2ZT53g7F0r`@sUWpdj8
zm7w6DkB=ReCK}<>LWxNlj6F1XY<e)GapE(yF|b^&IXTQhA03#u9K2K@{l*z};1@Ot
zB;crgK7PMH+39T8nO8gW`JHoG51vYwwuJZ+#$!tra|Ko{(3kohr)TB*>ni>Es$x5(
z+t9ER&FEDH%HnokA;@bZv~u6B%E7+PDKP8l{zv%Zq8~Fdm*4}w2W9KVYk4j7&5E4N
zw{HcBj@dG5Te+x|=v+Q>6uTRL$=kP~e(KS~Q{P{IBN)~BeERPC_h^wb{#}TEhvLUY
zA2w8^FJhi2)iUFlBHyH>U-E?Y(w+?&m>91RypQit1+h`x2^uswkDQbne1prvKx0n6
z=3kg*A8a?|-#p`C#QSp*cr)^gvEPkDl|%0PK5pA_yw-e345LbDByllrh9c9+W<aHp
zk@KX=Nl+`dZh&ZaMF*u$u^;#F6HoriM2cHVY89tzc-1RN&;jw>>szz2wymrSt(f8a
zM#1S=G!jH}0VM3bqi`lprqf~li2YXEjg28`S<}e@<AZuho$_~@<AJy=a6O7_x)z?E
zOBCy0Y3fvzOG1y``=i|<VFW0b6DmuZj_5t>3F|CX6*5mO=q$sS_!YsT2E18?KJY1P
za_9_=ask^$jRJoiCOjNA&RNC2t$HBL7vh4-JbH_*#~NSeh4$yC)Jv5{4V9MyDa&Ou
zKlzkF-uNyZ__?<bdaA0Uo@IH8!V^lngAqYIlFm582tL2L6x3ml0MoG3s*!*u!_=a_
z5j0jU^--z=zI#-ymgo;ZpEE^;W4*0$`ifbL&zoyyY!k?KDyAN#&o6EG_BVCA#)2lJ
zvQ>*N<B68~SWg0oKOOoXP9_}MYv&iwvNBGswFWrFm^429a`3V3X-1@J2q!(M!V-md
zL$KMrm#Kt_`CdLOXj%*S$`)zj&OKT>9bev}i!K6I>$_Ar57h6V3QKP?$8jq#l$vuB
zTD4iZq276ly1kWIY9fnl*22@dEVRf-p%J`m5l6bNDO$0u%G?vW`UTAuN9q1T1*u5X
z`$WnBu&V53_`t}zUP=R>GLoY9@xwB`Lb{vD4)$>>NBTRx-{m>=j1=_^6FWBRc*gge
z_cc1Z-m@)$*O+N|+pNt%f{+qvf*5|@i6UD_qcs8jO{)hIBa(aK*jhj)DSb>x*aDX%
zv3z)r3OS7cog25_eSFH8hM&I*U_5$5lchNMCF>9OSr7uOp@+?58&1MLqJpf4Y5{kN
zd)1~Z2+QAsL4+#urQfxzJ!#U0U(S8AU_A6=VZ5sCejd+xSw+!t@IJlsDbIXVZQCqC
zTrr^HXZ_#x->VXEbVzvq`QNqSP6FGju+ItUMDebBG^q^lH-_t?@pavpdmiaz`nN(f
zH0{dBvg<F!{|O^WT~LjkBZ)v`F>s+iQp=iU!*tL@pQigexsua(S(>Z<H~YDk2AVN;
zg_}n<@7Zs8+D&v*jfO48?`+td@;y>=`iAm<{MP5oKy!LP5#IzlBW7pk{l=Jg-m95v
z|F#csW0LzYqL(SQ4KX3?krH7u@69aqeto7=rZ^WB;uW4!gv8Rz_wtwYy81-9tD2oX
z9yAhs+KkQCr)jht=Ncd$&!#W<nlE9=x*pX#_1t*i$zZTqgYbpN|Ngt4|9V}e$3<|#
YZkCW`Z(pW?zP^yuRMk<bQnC*F4`ba^O#lD@

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_images/histogram_example_0.png b/docs/0.10.3/html/_images/histogram_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..9b8301363678d43fb36f795ec59f86c18897b992
GIT binary patch
literal 14056
zcmeHu1yohr+V%ntq9Sq(z#vpGkTU326hx%EEpk)RY|<734oG-tq+4>+pr{B)m&7K8
zO-Oft@ATYr?>+ZkZ;bo>WBmUZ{~6<ey4IR|t-0oW-Y4Get)w7Bv-8kS48v$-uUt~W
zFmf*pBkS9~4gQ6%vHL6h60*OnWv^;&Z0~f#)(DfoVQ*t$ZEs<A^N6F7t(}>*)p>4S
z?sJ?+OzrJ$?1XuEEdP80x3#Sa56ArhEf{2n%@u7s45Ph){wGV6NHD`Nes$SP7u1}?
zCWx-~YD3YRGbh_+mG(v-WjJzx^Ai*KrGW=JQPRh36NU6uVl`AQb>jW$uW;<8Q~BCr
z%Eh3odhA#{m#w7sJ!VPMT|fDr=q68++;i!!(lzpRub+<X;_oPv(0k5gcl4L4T~%uv
zsk!a8Wpk6inw+l~zEl61nWZL+lMKVk50v)ohTFsHUt{DLcHj~Db_~0IVCNAG^SW`$
z3l2Pr{%;TH@I9`GJ{jSBF<it+!^Y;#z~EqDa4=~?3u~|tahg=q(Fs{y7*7bbDwHJ_
zIyBRIE=w^9+kfh6Y}mG}6=dWh@{>);35Br4))Y<L>ip<fM|Og(on5XSNx`xs>vHc(
zol`LrEtcLzK`R<XE3vLLSn1ndewRYsz#u)?058kHt=Eue+0|0!>1i!<i9?#~QcCWv
z%H1C-E5{!)7&K&fZs25_;^czS2@fAXPI>dDp=JkJ-zptF{b_D)g}Zm})@3S+uUw+o
zwyObs#86GJ>sclpksfmClwACR`O3=5XoAE>k{#!%Q&&{uuPG}l`}wd)On$J(8bo*O
z*ug!d=#O9gmgKRqItsUCaP?u{J@O|SxcUgO!i~i)y1jb`&WT%mIU}ngE9=dmLMB<0
z$tg!iN4Jxjdd_iwj_rQQ933Mgqo+@wCZG2(`ZiZDv1HGNnJQ<LZ5Aqo2}bYOcfwg@
zr;gChBRXl%7<j6Uvs(|+?%Zh$@73}{C5vZjON&~^gkxN6th31O-%ji6yDr4&BRm+)
zt^fVB3ob4NAAOio8XA;Hq{zF&(@Tz6AO7;?%cJkT_c?s5sjg;|g_pMopKDW8U48Y%
z!Sm9jy71<$joz(07WZ{+w*8!@VPTQFn@Kn}Ir(((%tRMK#G1;h?Hf$&Apxr}biiS}
zEy=pKw8!TGKYIT0yHw0d^71c&IJE~D?F1R|6S?jCSy(bgMof9)DZGZ0l9C!9?AWKK
zrWPyE>!#{hMC|fwcr;CaMkj4~+4%*Fgu%gs2Zdc`WAXDN(GpuL^}_i1L<9E)b?ZtB
zFXNTg439Xc9v7Lxk1v{kJ#R9mx4cp*v6&g{AI;SlEZLB(UuZ9zZBpMhJ5=Ma_)VLJ
zQBY}axK>p~#h(yECYk-5QAkCXU}ZV&xVa*2r-Z>)*;Qfk{g)KkPZ)M)7v;~ed(P~a
zge_9>+wtEHTuUkW+1}DJO?+$JF4wx(KwMnB$A_YC+b!*&x=4wPx^R)2c7nr38F!@s
zrrF$mOD~1XE7EgQNMeDqFB#TNdb)lQUgRTR|MIq|r1Yf&?dH_i*A^#^yXOubJ$lqY
zfuc`ZRb4#}riqmK8lBZ=9^(2OmrFTa-E|DkU_3&`o5)xCuzH3@QdNKIY`TN{83bmv
z(*OLvfA~OuIFKKQm2PdWp?50mG|9=r!jh(6w3ytrfB$~dPrn?^>aZAVjCl;(lemWx
z>o%Vm_;5(jChFqFi~INPJyt|acj|Q~G+Oq!&B-rJ5_K<JxNzvqbuWI4FMZKDSOc#W
zyH{&#>mgp#U$U~ZLwUD8`LP}naZHtdaVXB;f3JL`xW2FWY9ha7=T{#=tdC#6$g$O~
zUMyi?;O0bUu3Yb0&yxMt#u9F8b7P^7hm*4fRxh7X_5O*DY?-R6s;deLZKdvOqG62K
zp<#F(Lv14SGmRm9xPY**?!GXDP~+_xPC`e-m;3I+(}nR{b$^MiOiE5xF*Qv*&A|a%
zwW<3H*7+((RNDUA7iFH}>3i|lepMmm!5&O3EYulqOSAJKx{$)3zIdUoprG(_GIH>+
zSBlx>op&6OWSpl@tK7W#x<(5Y8SLibJycjoY<#>lhi1B(gG25&N7oWN!BR3)n)Q;I
zsG*^ur%#^P9DMfViITc{Ah$trVqagMaF-zCZXw3qB)qzME1!gwnOTxTq`3RU-J_!^
zq;lhI7ZK@{kC8X#9z1-Q1k0D%v%AD~soIJ#4*RfhWjHj~xc1NjY|fqn8m8XrnwrDK
zo<7zB+pJ4UG3)88WW~(d+S(z2$qv?rIy%WcC2J!CA9%W7Ri6<T_ji>zd!2c6SLkuU
z{BZHjWv|LDzsc5=;Hy`!s%dK{0XTCUKYkhQnKwTfaQyYC&!0b6yL|a!jTZcXl`tl@
zc2XAh?o~xar*utqb#`Il!YW^v)p;}h;^l_}ELCb()IK{5@oRVV9Gh@8@xJLf|3KJb
zYGOh#ZLjB}T2*yNwXWdW*3sq!u}xb0>(`?I0FKHY61Gotoa|0wFmzMqDO<M<M^AW+
zmG%1*_K<4Z8Tx1p*u5N!O6rXE%+AgpTEF&!t;2$!Q0zdzmoCPKi051LxP}Jzx3_Z^
z*j!KF=lRG|1~zhyZr)a%6@f!S!mv3((aGnI8--2G9XYaMoBn&dS;W8TN!WgU0<+MP
zc}oT`P9DM1oq-3Nv%zIo{5>}3BFE!`4VpgxdVb*(tFI}541Vy1K#s=--swFVMyUGq
zso~YxTP<n20^t&#1{@lxN*6BNoy$^xc|u+V@Hrqb@VIOUzh#K@^8?W<b0pliFPS<8
zwsDRVopHzIf}HIHu=0nxJNp1Nc+Fc*kyZl<=TuZw0zyMmva-$v1_cRQPxX`(wPhG)
z96WD4@`1rntvy{o*M3yx`0?Wfth=%N+Nzf)`OKQw0s{ltd3n_+sCKu+%ZJ+6i!EJQ
z9h-A1Ej2V$0$jNOx7N_CD3NwD(oIFob+M&07uSkv>I6B~(jP=FX#4dFpQF&*Rga-t
zUqAVEW}EnmFf(I1pHnhQJ4YrcDJdO3e)MI@m>H}jC>_I0#XYDG{9^?D1K|8MwEq7C
ze^+h(G9{*$G&F)H^9OgMqSN2skI?SzeX7I669NL7P=vVUl$3sXyqBW9RT(3T+5;O^
z-P}AGh*5lTv8emXQ1Br!d`@yo%3&fm8`~uy9CbrqGH)?o-GynArY11VhP5mIPD~Bn
z$}0U`MTNSaUh0&`QW1?6X>c&+)2B~CK2%uy!}DI44GkdWaakr2M+^I&htv%A<7tG`
z!ooUBy`E)@Q@vB(&R7E*lugsuot-)e(kmX*Y64;(4r@=*<l)lIyJlUskr%{cm=4E}
zv$2gtZmpY?%rWhLoSdAjM~|7x7E|uR<O4!NlHJ!9NAJ^$o7zVZt%8YGPU$Dv*b)^Z
z#qsboeAYe1!gJYKS-eh@dIS=s*CQY)SjZ7BE_p!d<{&QJmRwvru9N@B5y|^hv~B$r
zkH<^ISXrfD8`KRg&kRmJ*@e*z>^g$+zRTj=7+@%CfJ&jJq!cwtEHa#PZ)s^Ug^g7>
zRk}7-LNv~<GS21`IF0ch1YU5+4{nZ*Lt|uu(5nHp8<;4!>`odQbs)cNW=*lOV@+|-
zva+(+Wa~xeo=+CfDJ+aMN+Ci;%~Kq8tI}t*QHEuq(*r9ni^0exS?PHUIAsqB*~Zo^
z<1$L(BiFy4^p9<7QdwE`*zgVk7Gplvl60DfNAvM+CSLmyC19?}z_cQs(qJ!u)=RQ-
z))bC~-MdE~yZ|r6y#L)pu7K@Wh%e7w;03=^ega+jw{I37-oHNuG<IfYrW4>SW{!bN
zC)S_@&n_sa)!5h=a`x6EZvDcq>4I>fsTaUbvU*BDL`3@M&(|h;N_6jUqXF#kSBMbR
zo?3?qFl|fKuKxVF<t_!){8&ncd26ydezxi)5h@>sy|9rZ(|dFMZoEQxGC)uY+;MeP
zm2#2eM2<yA7M{dFPj9|F-M`xC>k<3v)qxkxVmkXyDin`tOTopwhS}78z{JryeE<G^
z##BqYrnk5E>C>l^okAZx_=%2zL4>;3B+@;e<}g36v!5DVldqV~LtzJXrnRNz)Ujjl
zj6{zeyU60Xey5~seMCm02`b7$_>`MWkkP2&)@m?<Zh=+$Hx>QARP@`V&)ph@G1@CR
zdday@oodLg7f+Gc7**^naV7NN$GOrB%SwA#WXq0maL7eRN7o$}7Vf<74YaY-$2gK~
z7d7?E$jC^zJ-v?{r%&%ccu;$aAJNYWT8VG#+OcF5+Yo<111_|vDi-J|Z#{kfd{<mT
zf=GKxa`GwkqS~W7OfU)x3O;zlLnM+&r8y247#Yb^L^PP<H*}l19PUpdkxnM{r%ZNP
z@IQR;AfFRGw4>Dud;a{qJ@EfiAZIEb(KNrl{7g+>KMf{bE_qFA6j9`Rl+?V=)7OzG
zn(nU%5p&J^_~I~$^B#;~dJt&Yz7y9Pl2j9TP3jmyyK(UIYaAA^viCUqHB=&CbG})z
zrm|8-QDP$p2@-{HVYBZ1JF64cp5wsNV1x&{JEPd*;^Nr3xYByMN>`*tH#aw7VW=4!
z#}`47z%cpu)?^faS&aXy`tyHL%Ko1kN|F`ez`l~nDG@MjCoQd}t!>tBW>M$XiGM(q
z?;@&<5cGXpnr<LKjb&FJI}eYdp~p&`v@dho*x1-M0{ai??<+)qe~jo0R&xW-c*c5M
zr&<SnCAein1gs-~FU>c}@vxsfnegE}R1gHE=@*QQ;@FY^t!V1l|Hy20cn@Q|bfA`^
zykU*<xv$#Ou!!qztSwpF7=Y3|cI=qmNBE&;U|=xi_PFBc<BER0jO1in#p{?U_Wd#y
zRaGcs;%RyXO=(M^fq`*IneJs`nrK_2^0G#lwl6j=&J65=&Mc#6g+PWzx<7roqOPWv
z{~UgtI(IIsX9b8@a%!qQccm|jldct(NQ<EPhIUX>Q&SG`V9TCjZDNsA*%-fLkv@oc
z?prP{E?Hd@3w4AJi=8`m+|kCOj?Wx~dA<aNQX^F>n$YW^3*_0!!-ofm(%ZLh{bOZc
zo=B1l=B}=;_Ggn1<(Frbe%`RYGRNomO$%;b1;DJy|F~Rn9t$=-B}lOyd!beAoCyVz
z57-juYoTEE6b&I#Ku{3e>F0uoUw(-~uvz7Q9El)}41+W%Qv9nQ_F&U&b@0@`Bl$hy
zTgc^rGNpTD55~*#Zz<EiaD~5-tpDnO6^B<xN5@ldZ)Knm;NF0J;v-Fp6me1jkq%16
zzt*@JN?kfYZ9WHblMeMw`G{!eng=#DHwV6a83TfyODE@wtgNiC^K=x@hw;y4ZYx=n
z1tey0TyP6xt*9dUFp0$LS`~a?x&uQrY$xn5r=+Ggh0+!x>XO9<i%$mRS$mdI4KJ=O
zRd_C#OE><!NnPTbH%eq=Wd5i|I9&q3Em!AV<Lavk=1IxV*Mgd0*qfA*v3K7-SQlzj
z{8PnqKHnURV1d!?*%Q6Fu{Pde5~(gPFMr>6&_+;AU41AEKE1D#uLz3}ch}+L<NGed
zd_ji6@+j$YTkJ5=DZ%HOo15p{sMuB;A*MS=s&Dt)TJjWF76kbOb>4v+YGv&Un2GCb
z8E(}1d3hQ@$aJ!9dq3LElnh#NBq<?61@z(luG_b7CuU_e6);M8bpKv1Jhz?U<h<tL
z;gOt}Xmc<lF;NN5D(Sj(`7%3@75MkMOmX+s#NuMTU>-w_>({S`TUzjkTJY=I4I&FK
z<DZlX;9Bj#bkucq#~DTJM}B$z`t=x>Cp@qX3!#`Y3@W*%fy-r2sC*86<z!-uUv4F*
zr#pIZI0I>^{`ASF&huMlrTy^dgJ`V-+h_vgZsA*Y{b@eF*56;7-ZtZR4|WJUj0FsT
z{xxQH*7n24kLFNg>UbW(I<IbD8c#pS#FPdjn0<VH5ZMET_M@-On&U^kPe$0tFv8vN
zzT=`)@`rs27idgbe%B80(txZEr#}YnAh~Zww;ay<u{U{#zP!t-NPcT-YoknfADAu)
z@YmXyXt=1sHjHw5q%kHL7Vr7D{Wc@u5-`(H0<;GWZq<oQ32K7D5Q_i@5BAjT+#KD$
zeS;58;Y!mTn_wgOvw`aY)il5Rz|TKN!K$l`l<1{yL?iEA$Ki0tWdT*%;Uj^D4G&#G
z*U8pJ-V*_pC;$#HRxYLIK`jVs5-<n(SLtB~i*I&h88Op<P2&~R&*^1Hs%t%8FB+4d
zF9;Y>RasdXT7ZVX7)E&pc0oZw0e-pvamlZUMR9$0VJe5k&T;hU+fZ%zhd#18^5u~j
zU-J)7>3TlHg1~5PN-5n&n~rm7XI+{qS&G=Un=#SL3k&w9rste?Mg=-QG8^-lZ<GPs
zB9ILbuHI;`;da<crXpdKHZ?(9J)hw(80}2S>VEj0bG+`nSB&%v^ZB%%+E4*kHgLi)
zouF*YU}e3R4pkvg!#M!o$Z`~BKnI^>W88ZAZ+do=t<+lE_rIg`rGz_^1X^l>d9Dw#
z%!!o4X_lYVsjq{3dhgynQ9pPg7;~Q+^)i*j^4%JmAfu$z)N2S&zjb7bG4Fz-Tou}w
zl$4ad)%3!GdWJ#C{O9xart>3>%(TBxWJbwi2+Vmo&FIEbZ#yE_U=;zuH>(Zd1ASy=
z;{jS5+$D9BVi?@d&yVZXek`PJE0p5HhY!LweO_!yhGiayM4jJMN|BYncnuT{C~gz0
zuc!(s=G+S*05dQ&!p32DbL{~O`dKy>A?l(+E501HbLUR`8ZN>Wf3)_LW2DW7ssjPa
zUJ}lcd$m6Y|Mb?!=LN$PfQ8|eDp-D_U>W85GsE?Zr25EqKqUv*W8p$}(x4u|?F;l+
zsWHT#XT@@aGcz**aht@Jx?{lWZs@uL@_%kuAF#CrDA`G%e(DaxMJd4LOMfEA<oDCj
z#f612!t+%1+nA0v#UUM$XWg5ARO(Sn(ThKkTd-kVPIF^YLe$s6@gOHBAG@}F`*tPx
zvy2p(Bo53S9suc@?*$5Io*Fd+cMEXjc08e~y1J>mz)p;A4_4|yz3ke%76I--e7(e0
zx67dSzLUJSKJFsAFA)uPP+^vD-`uFM2Ts4uy8hEACEyQsLLTe+RLx{({NNencuHcY
zJh#?Rp|Q8mVH<_=Hr88K23l}3*9&Xt3=9Z31qA<XmnDL`P^x`oXTq~FX&D*Z(j*ZN
zOM8B%l10uRGJ=@*?=NLMq`<6;z@(|^C}NfINsNuX1fo=pU_}h@^NR*4F~Z}y@{G-_
z@%7~~a7a)D0hQbgrl_;nC3|y`Q09VTz@m0<!5ZfP+1Qn5se0wg6I8T_;5z!pf)Tzj
z-mWMlBvd$_UR2CThlyH)x5CZfsGz7A%!UXzNN-Tmr@6QsdOTKUjW)(K%bH+PTGI7J
zkmC%uY*51RcpGLtW0+&=2TEwn_H7f#MJcI;?8uF4us@?P@-t0fgBodT+$WHRhYM5d
z!-Q0!>{;}yLA+23)79$$!|)5<fRzt<#o~1~*cv%(y|7B~JX^L8%gV}tkPp564Tws?
z_ih9e^ibF|XiUD<2|jc-cj*$*Dblz;A`NDswE$e(XGperu2*_GA3X$T=-k^v)(<Eh
zIUqqrfXrc<Z?={PeFMY8(?UWHiGgY{@Yw-pI?bR`dE-Vjv+K9BMz?PZmQ4(ULl7Iw
zW@KW*0jjI!EMQ3=_ohEG2FyW@2)iz(f{(^olhu-KqUbQv@V09O2I@23+$wE~mZBow
zsbuP@{tjf*3yyFEbEf~1`Tnn%%-`Gf|H&1DdE~F)c>(gFBC(5$8;Cf5Gi`DN|2Dwa
z*Vq5$OClXYt?$D2Pvqy<Uz4C3;2NSX046qp;yO&6gxa&Zkl~qDG+9`~bQUgX_z4si
zyzGXSBvn3_+1udIYQm~AZ%+>gpQ5dgA6N)}B>FM3GKh{{mXl9l3cXI4I+7Iwi+cL(
zS>UTz%M0PFtEbPNRfdW|W3>cOcuG`M58^1Zra|zG)z#Gtev^Z>++GQaks46izVmR_
zKk;yW7PslUC_X8ft>%#T2un@neE8^*aPY{;i185M>6yUFGD^42br-Sq=?eT%pyqyh
z`nInV=gyr2_jgnef{UJe>~LG1+*`vv7qqlqt*@`EDJ%D%Gf-BJ27gF+PGVzTl}QY*
z22{Y#r?sukgYILmAr&oi3!!XdLbwaO*ba-l;g2wbXAH9Iv2EM7nU6F?SJ&4&p|ejz
z!9?cmdQXWf4vd%6?Cf{Ad$%^1_`vl9V3=;>hJr$kTRbQ!3(m6U)vHej1_pQ`S3}Gb
zQibm%@~_MnNGxIjXp1a75lpLuBhr~436=(gPWEFh?6tq1mq8}{ix;f`uHlBeK)eQK
z@JI;5O0;1G?;;>JCx;hAZL2HFF=D!gVRv$%q$T}cvn~AkF**6K6IG0N02Q?SJA*9+
zb|x#!%chWjXcFV2q9mmr?eeQNR`q2T0}HroK!~hQ2Q1X6J^x;=((+E0ENXPUgbBl}
zZbOA?1Zz4(R02o`;xr&^j?22Q&NouAxJ7}J1n(dz?k0ITA3TuPVTdf*&z@~G;$&x+
z1*6>B=I~#noq3Y8<TIE+<l2`o#i&zLQ>y|Hi_U7nj<i7}@$#ih`Oo1;Vsi3T1|9=7
z8ylN&OAy6q%`0C1sXIL<M-8%!#t+X7okgyu&@*-`uz0$avmXBi5^IAXKy>gpP%IMo
zIwq#%)%JXTSmkYS_Nh(3YY#7da28QWQTt1Dz>ez4C28s8*RS6hrM`ZB5ghJ?h>e$Q
zp|vMMYlpqzc6WL|Rj#xuDQ2ROFDH0G`3D9HY*7CrsNvg$t`e}&#=g62z-*!*o`OXP
zhWR-j@YMnE1Ls@22;kw{)<HDsnO-lxb`4Ow1?92G<v|$$Dvj3fsl4#t4Ov8O`rh8>
z0~bbC1&=S>M$4QkWH)@pAGBqdk&=I*(^NW?8x9cqh=ahpKqfvn8AactcStkuff^TJ
zq)pRf(3|0g;!D@XZ)R^%kqG<W2>$+`^x^*@VB1V`WE8&!@Rfru10@hK0k2+t8F53~
z-}j$8n&6<yhY2d{=2@VOAJ!Qke%>@(@Xov6rOzJ}>ngA?U|t~L6@WsgIBkw+l%;R2
zW^AcIQjTAmOoN_-WRQj+116t<_vIzcTZ9>ux@iMfyL#=~`l^DvI{<qkXtWc=O31aM
zA=gqtzPgQ1ML!A!YXFM8aP8m7o&Uzv1l*D@^!-!Ig(JIPFQiDnTPVcTZg|xA*;Rs9
zr0b**aw$MggR)n;KlfK?KKV8PPP2UMX*YG`@6~8b*XHI@Svv|}mwH?kAv3bDPp>t8
zS!;~5(u3;;`PO!UFpUDeJ2p${!(lk`rfUMqQc>@Q0wiF~fT-Zmws%7U1VI28qye!%
zv?%>g$cMy&>wF5FRsZ?*xq4h(n2=89&4)K{-VBSRD~4FpVXju7h;=UvcBl`Ms2lHo
z3Kw>`YB&5@8SJK;w{GR$8I&e5NL`ha8ya6*sQUQf8N)aP|M<SURC<#q&!1OCvZQ+t
z;x9CRi|lu6RvTkvhzoDvV7|1$7X2CcgXptA_sQs8c67{xTS4^%e2$4PnK5rcp%u)|
z%-qpFRP>P@bEZJXQ>J<AY4CG7;M0nnrrM$|+z$u{h<$ldkw0G^XeHX^HJP_6MPD7j
z(tTj`7g|5`#<vl`pI5$pJJxPxSkZ{wi+})x44DCU?qt?X1+4uQ6L12tMZ}M%J@xTv
zgPM^6E}X!s;O@s#zzDdhfhdC2%G)<T+Kl9|-8LRzXf9-H)?<+D0{4hVmKUf?O;7@R
z_wJpq_uR~WTM3*WCE|A8K0c1)kWvW1=YNMs^rpUi(Ry*<>_zL6g&^<%VuKAm3f@}&
zVPU<;u6@m;zCa<VyN{m!goK2|ciT?$H``8jX%DDs2(FM1O;eZIVF5h_wbeVZ_InU6
zHF%YmOVTh2tHGwJ%Y=XkjPM#Og21Ra@?)H)41oRQs$IkKjREw$q+?;eA(Xyz=guL1
zi&ylJWsHrP%R@Th&kKR4!)ViGFl_u|O(I;Rp;sgUb&`Pg9z|_I@G9m(MdMMvN{Qaz
z*?+OBLfK8~BU*vMp}r&NcQFO>a+;G<t+&*@B$pafqJlxvkAaRbGc#N0(NI$A%PO_$
zzsRMR-$0Rs^{pbO@jvwC{yR4NFZx*i6Jq>-+feywm@%l06DOpBnLYLOZ3k=dQ25qx
zsCBZ_R1Zk=CNDAyWZyYmh6sKDI&IP*(AWDBXCDtY)Y3`>-DX}Lz>b1#p!$JfVX5HN
ze^1b9pq0nc4{8TWQ5?q9&<cZN&;jBDA$fvPO;D@I79{U2B}+XizyS0RhbnfN<Guaq
z=Mpg15&T<KK);Ue*WPZC{6BGeKfiv)IdC?hWdyX`7%@IE@yh7vDEBR}QFV$OEx#L<
zUu^`##=+6>hrX-i6GNycfo=42=Ka;+!J9Ah-nJ)K`^fsAR&;xfd9v^%n1wH&w}?od
zRgpE^(6_4YUE{EWXmGOf>$0&AM@9yiBc#ZaA(KEu{GDm|A6NR`(KwIloBwU_vI?I|
zY%UMBfrK9;o;Y%(96@l67JwfeGjmVh;B8}L9e*wOFWn48y<nvPJ$(>=ksdT4fgdS$
zoRzg=Xe$})G30ExkL&jO`_{MC$AjSt{U17D(Q970az#$M<mjusGJlt~&zt;pS)8aN
z0`;9q77m+D&eXo_92@u9Fc<3_5SNXR_y`v5qlXWx>gyGOdU6lK56H|?okBrv;6iw0
z`9tOTLu-w`1%anLTnzlqa*WcBFMcB9c8_>=84WcJjb+=d+`Pfilew+!Olz(9oDc5)
zqE63oi@}oQKZx0&3(csM4azH@APZJ}7n*zWs=2Jm68=4$0guz{{gXW*5}u`~+b)np
z6C|EK@`XhPFt08fH;M-Of;dd!)tL(k3gJy*LUs_5qywN@cIPYa*|X>O(APcd?2r2~
zoZcq|g8(o#HV!9fcb;xu)I4V$*<o033aeDnJS9V9F=fH@*&3URN0}RE%E5Nz3rMC^
z{4jnq+ebP5N3p@X8XBtkcMV^<q6s4U<Khha_kXIaOsG>aFqr(cycQ7;k;!~1FcmeO
zo%3PigqMkRyh0s)z~%u3f7!O{KokTA&POcg^y@c4M76ni+y?_NAb$mN?^KA6g?a9o
z6S@{Ai>CMs<#FyFx-sJ$B40v8m%8ns$TmXlDq)K2K*=M^)^g=)8=*7~8XRd3oRI`h
zJ?ofij9Ll7HEb<$b)uxA8t>}e%p0x^ZBOl8TYQwVv1X|qgq-Tc#8YsT10-~$+pKq&
zU5+=o7Nn#X?r&ok5h;?L^JNrz4OPLsB~clK5Bk^zWV1HM%X5XbxTiZrW(a~Gi0ZhU
zv$Hexar=xkT>=>6>c}`UFo-B!pOr%)HYhO~E7czXip!amg@TBUz|z8d>tzyUl|D>!
zN&~~=ow+Fyz}A2?;b6(E_AHeqtWA{}t}RVvIC<ba(44r-=g~v!R!a>}8Jab`$kps{
zF;@-LULh&z)#JXTzcI+Nh0>{3a8;~ja6zO<PXp)}Z9~QzP`Hs5Qe-<cb%<=t_<GJe
z=HP5|J<B|SvyDPa?tNQZ+Z^{bN1}bRJhC!?ymlY{TIg|MdE1F9oor+I7(3&-Ff&jn
z^+p!p|7$=a0QCu+kbDOTdOEcHQz7lfv#H97fa86<s<Y4mci+xqxq?LpvLuIt&wPCe
z9*fzLx%Q$2T=iz@Vkb@m7zXL0izE>ARQRwqS6y8^JZ60H3EgLqxadL)QVuAw)IF@y
zTJR3$9Ak}L2E0$EPPvgpdVKmFVccA1m#=$*Gg;RAsM@4x#lFT}s$Ht}ECUcqgRl^F
z|JwKfywm~1Xxmz^-^yRe?0SE&90z<P77WDTOmM9LRb1HpNbf&>gz)|<EID8C^=T>V
z$^xtJs0)RKUoe47tX{suP__`z*Q#Ve<Fbs50CfCHYpSZoz$Q;FEG&E*sf3fOx5l-!
zwBN@40+}tWq&63^Tn&^*A)~@$-5Et;(|vD|xl+uO(gA!cATlyT>hW$_f5f)Oq16So
ziWP@_cK3m`2%<T-{U*#3ByvO#3%eSgyE*&-O?4^Dh5#1P(1@#F?5qqirNPxUTTl@J
zki<cx0PTZZ`h{vB7h4u5y7-_5SyvXF$j!|S5qB?qM9b1MlEJ|{FG>ii7c*#V*_ikf
z6NDv|oRy_gwzV-82r(t_$P`$L%-7sD7AJ`u(Ao*s;V4wtHfWP+Az1g~NqK=J0-yO9
zE{jhKHLOkbq`_q4MV|hap+OD`>EOcGmx|`l`La61<Cz594n+ncJr1FKxF9HKEk#b&
z!1R)!NfJCF>xBj>S{IR!E<GU+mw_+Fx5;>w!S-(fbDD&|c=4V%7)(H?lsq@a4NG2q
z>x_$!HwX5$+IOF}nCSy+NMRYk_mG7)oQf=BV5ZujMR239tQuhmknfPhsibITXn=Q=
zXGQG1zT<&YPGH%6C{FD;X3YV?!R^VVXB_xos=#w=h7J%8S(FXHEGC47g=y$xz0QL)
zC7Y|`s5F9~Oj_UN3D2gx;NkMj&zel;k9LFQ>^DQHM>L1yVTZax!>_EITyvqrcn;8o
zl!#XI5f`85&n>E+SUGU5t;s{e2_I#Xg7<+Akk%L(T10|@yrP)cz-{IO%=SYx+jY2E
zX;tWn0bOAZ{kXGBOTl0O!_y>7toPHxUp2w_Bd{6-CnhEeZ#B0hD6&A0AfDaNRTPRl
zyt*J}x9JNAJ0V?oWBmD5G#G)_GIpUHl{|`!UC%k8gYwT|IgLkKVj5tfvYJ`|;TEsA
zkv1r-W*8*LWzN`Ps%Im)D`%Lrf?r$;{f(aYXv{ITCxGVN{WzwlOJ{Db>rlZUpG!=^
z+GJ5Kuy=R|g2Avv#pWBNU|c_FnL+moiDi4irTS>8$H+5AHw#b9FuUN8#)VSSw6q14
zV@u=U;X}WtzK<m+o6b`AqBUPjtBtGP!C?}fJ&3gBn$$DP`R87LOO9Ia+h7BN<(#UW
zZLEzR)ov4-g^WS0*WuS^D$@WCwIK5jf;&Ls(R$(?Us0R8LB36NuH%Hx_)A6cOj!0f
z2r+AC7Z!3MdJ#kCxIjFb3ejOoR8%>n{C3>Xm-EoB4!V3SAabfH*zAAIq657zZIE-g
zj>ESBG@t{9?&qJcPY{dR4;R_Ur<<S^gR|_+sal1$nlzwf<8P^0av%~*g)QfLiy^%O
z?l~1oi;j#BW2X4(2rI~U?I19q7r;oZ%}UK%SkIG|cahJdwCvX{2aEd6`o>0DF9aHG
z(7JgOtxpXojH&2*3?e$&v9YmQ5DH{MFNq10knMZWiiFfRZ_ePLCieI^%BL?*ErHHA
zA==h(wRKsSS-L||h@_-7ykTOY^UP~qR4Sc^_MYt31JLKJSslB4{^t89!d(EGI`H+0
zHcJB0xC9`bxt_?_URV#=Q1JpZ2Xz4v&k_a;{RN{?6Utni-Wfh#T~zn4nd86temiN?
zaOUG-Yb_Kw&>c8nib{)4nMaAqeZz$Dj$UvQb)o+w8>m{^lPBB9OV=i|0b?dsrrSsT
zWSBD%5ObV4(||%Z2Z%RBY9ftt)6gEN#$|DtQd2f$agL+dJ`G%8U0{l1#3DlO?W(=j
zGUj=Jow&{%GY#-4Q=_7ejOTS(Wk=x0*lYT2oJBhM3OdVr0R`HCRG`nUG0xUTjqMK8
zeHRF%>C99O#~qeHt9YOJMSl0*P*dPP{IURuEXmL_&<g^MkR@-sZr!|@W7>GkcZkgE
z@WC?5UFF+RL6;XGew{dg*+`)<=prz~VkR=o>HxGsM%6C2mu<#@4-H;Dh|O!Lr7RFf
z^qk|m4k0yy`K^`6tt9A=Ndk3>CxttO5h8&U(2C9fg48+iq=j!CswgK-aN2?C{Dkgj
zh9t424T}^y03QRkT;|exBMIPcX|oAI-$Dh;rV@+$ydTgpakNi`?S`MTnJs?nScUIb
zM8h;_Qtf7JfCLG}-%0vpUi2RztM7acUsyok44tURTY$}zf_f3*?JU%7RVjMB26=VW
zKf--cd!wJ$vjOU=J;Ykc;QB&$riPwgSZqe!5pqf0w;+=(KZZN?u)_nA3W-+ju&7^$
zgoNNpw2XocE4>0l`<D>P+RuKKm2JA^D;5tG_%!sZf%~d<<Hn7eM^qRs*tTahfE3jf
z!nT1HrQ@>5>jp$XmaO~c3aJnPX<^)OtMl+#vhs;jUU2`wV2e_%yYl3LctBn5bs!qT
zs|fJ-e+?T62O;8j9)A<kU8LkKrJ*$+)i;#mA-@NxsSGp<Y!yx-`wDfdLxDI6UyMRu
zi-FYEN?{k)bAjxq2IFfXyt3ecw}8<4N+Kno#t8U&(WnDa6AU#lQtanPlo5?hFPdzs
q4&)$)9l(k!DhqA>P`-1Ze~Y5CN%cTga2ay5Fxkrrm(nj@zxO}pm|Nrk

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_images/histogram_example_1.png b/docs/0.10.3/html/_images/histogram_example_1.png
new file mode 100644
index 0000000000000000000000000000000000000000..062dfdbb9829f3032b4c1afd55fefc61a08b5d56
GIT binary patch
literal 11387
zcmeHt2T)Yomi7Tf^dfK#7?7Y>P=bJgoUf<|2uOwoX%&erL7)N2MofUBfRd36O_IhY
z2NMF4p~*p!*b<xA(Dc8K@4k1d=AU`>rshu7)YMqmXrFWTIcM*+zV&_I+7B=4sI&jV
z{R@I1>>B6K=pzVoAc8OrZQTOjNVW8RhhK8;XHDG=oNe4auee$x+E?6Nt~<M5x4(MO
z!`ju&-r4DtxTN^WV+ZZr-Cf+|B_tgGae}zBtF46Soo}Wv$TpYrW^M?=c?JE;l&+Fy
zk07Gs8fSht^op74_wh1ZjIEh#`p%)r>~wJNlg&>{pB{X9Jx@_}+uiy%Z`O#voqb@Y
zYW<MyT6UPonQNVwMVTB73i`SW_q}*T+r9nXd6#e@sY7h0s(QzFpJ)DUGqXUH+#0KH
zDzDq2NR3Zlm;IHR6y+<aYq3-%m4GMwjbC2nn?+b}gXj7*>*~n_zwOL7tHQ7MzasFz
z?P|zo1UbH)=~o1)I{sfi5O^e=Kxl8%Rmq;6bt%Mk>g4C=_Y~qHOY4~fj~qgnRd*@Q
ze?DCI`ExVTzK!V6A#&5l2lwvoHrmh~&b~|Bh-6g5n`8C;XOY08U6lcqSFNlTv#@kc
zUFFqefeG3orDQD5r#(e$?^G|Tsey}Gb=ZaFSA^T1Le8FFS|TTfDo@(6ZQa`Z<<+V1
z`1o9dG@asndBjeU`5+?MdTSGFd#R^0%a$$jg*6{OoDX~S=uzKAE<}<SUY>j6M|Z(5
zY;0K_mTexRUtYZx--blpL$)Hp?o&Ndt7~hW4xC%Jx?E>PbXAeff#)1Lb7DnAMRA4L
zO8@?RUPO@z9Ypxpu?x0MaoI4)9zMPSvLKUc0Zenkv)4&Ui`};I8D(XC8T8>$6_0-m
zM61>He?2+rkZoDs(_(C9mcf2NT1Z;jc*l+%P6Q5wyQ!w11qn=h5FFg08$dHiNlncp
z5H5HQ`jMm^dy=0Y)ph7E!B2~GBHY1PW~RU+MgH`XJz|(-6Re-npf5Fe3p;mmidLk^
zp+nXEDNL$KJASVEd)t3y@t@TA?;!R&b-p@f+n%V#+I?NxGjbDxG}|1jZyl+R<l^HK
zm&i@UHc`6}uhB32{XHPe_D!{C7?e;O6`~aztu|c_;@}nNmz}GsQk5}5FZHOaujksa
z<LhTN?U8(@yivzNI0Vas9M^YK*;1no|3dCVpuj-)VfK;B`_O}dSGETJXAfBHL<R#G
ze%euz8ehMDebas2o03g(l0PCLp}Rcble<o*<CptAal@a2bA(u6aG9@Rh^d}lVtTre
zwT+E*Cgb6*qmnnioeAca(mZ?iY?Mksg-t_LO00rs$!i`sU$Ux(OJTo?f7z!{{=xAL
zGc&Wvf%4J_39PurWM^)?^2*SrY}5SH+qP}X5kk{%(WTxNp;D<_{QNWR5l^2ctgrie
zzJNKoygSl@>3U{Z*v@-*@5&a!M|xSAMQ6?>gHn$vhu{nX!O+?|W%wri$?7yqDk?G^
zYl?R+7-q`RH!~9s2ng_uWRl#E+Z%UGR@T(B9}mf9_tc#EvRiUm8m=}>(9yr|+qbKW
zQ@y${rX$sAlbB6`M#RXpNMNef)Vn*7rIzZUe5=0)sggEVH8)=jkBE>jgb$J9$MYJq
z0>WNIMP<HtvAc#kKks_>%o(CXY?%AT`prwF9!B|$u+*x&&&DczLn5}EBa~T%EG~LM
zT1T-D79vHG8y<?V{zJpB%>Q9yyoxTeUQtveJJpr{KEn~7<<aBES)NZSD=W<hIks+p
z+|KK{c%ygjR;q}KkA9fDPh_cS>8udpQo>^K_aje5O>)xH)6c_7ggN;(XzA%agUbc`
zi@as5K5bWL)bIybVEtE9;=Ct?d6m2kE9q0ti!@3uuKG4hju0!%Kf8+tvi|+KuB6xO
zWp+MA)36s|VXv$2u;S*veGE%3ux*lmmmq+j8MxF-a)yU1-Oa_70zr<O>M8VP*^VHp
z2V82+s}8G&yy&P3!c%DBq0bJhPgdR9lq0JM!$$=UGD9W#%aHW{hWZQ2(Vvqj&KCIU
z)vHHOo*1gC20~dW3}9?*S<AI3*7u_==s}|G-mxQ*g>BC`6qy_mG+q`VUi#ixKi1dR
ze-ROp`tIFnh&|y$hkm!Vw#F|FmfbAaBW{sSBuetixt@Un)D|ITzVH~k{*G$|u1;VQ
z-xj!k|NbZ?pSNLQVeORx0dQT0-`WzU(%&zZzC6{Nwl-6VRaxt9+P!~&M!r>z!(@Ag
zOt}MqUSI_7213Zp)c^hWTi=F<86^f15+7@7L{(HO8&ABy&u#$UAD;DF9f|D8w+cFP
z;bn8HE8Np%m$F!Y^(uAD=+dR^r%!)PTY?Wr24dq0^fqYH(#O?R!mQ0`)1@;DE5o5O
zD|=i3TcD8fHr3bHn`7kR=Fj?E_qteG##wrOWuY&TDvhpONgVK{YC8^AT+)gZ&-T3F
z?Ok&F_HCZf2M-=d6ZRp<5V_@>Xkc}9H56fEd;1InANV+}rbgi@uxt5EJ6`!xflWi0
z06UNDMJ_Hb?}Zli#V@CtKG$b?h-+(W8)<4jLeWj`5O9!${TN@C=B6fHwfo!koSbr!
z8k|U?GBPGNZrs3!6nif^WIr97niA7^b1bXz#Ky+PFWa}fd!zF`0oPp&Ll^7i%k)IG
zAdw?S&H-i^o;`aH=3hYLl+Blmkk;XGapD?LlJ;RIPo6}P;Nz!HlPhz>7^2;?Bid2l
zx88=a?08}A3{o$&6uXTPz2>flzjz@eFOQLvlM6YZ2B;I8v!b;2qW~=_OWn43+JZfP
zy3g$S5$)E1jj@2gR|i3+i(z5UpNGf9Sd6_bD^nc1Lt7CN6VtZ0x6hGB5rg~T{~^X-
z!#e*=^Zzn|{d1^)A2G0HUV3h0jYg)XFM&aH0G~w5nbFUb=Tpw<ss$843k!j83_{Cc
zq%K_Z{P||cZeXpE7<yJ_rlif6efWviv*sixBM8XF4ijvKRZYmBMd}N%V<4jtbpjf7
zb#<*vQ@w@$bZ;?>qC8{9BBhh^?jBnY$vNKF&reX}*|TSV(3h5Pq(B(n@Z!aUm6ess
z>Gpc9xw*NzrlwrCFA6hdz#C*6Viimd9Xf=P=!JJ|66qx+B?H5T#>SaIOD8}K1f~M+
zC<bhlWoBh@?cDjTop0yP*N{E(HNGg;l;E@AK%rF)hZu%<zCKc-Ghn?Ypxq~CVZoh+
zg+-1JIIEZ#F9?bAPQ`3pPNXb=3rx9p;r;FVUke+gj=!>v(=#?UF1OM*Fn}o#tQiKb
z=xBNZuE<XM7|*nwgCl}OB57)A#r9}vX>oCLW5!<Q<sDz8(dv48dt1o4SQVI-^vq06
ze}DhNPb+I{^@D?zDI+Ld%>8JB(AU=`uYLY?WOP)%=Z8nBtD76w-n}McFHxke3FVLM
zck(3qLC&H?|I|9XaTVTTevb<P5Sd_>q#Z3i@%h=|s8hBfA|fI@o-9o-PpD;NWQ1(E
zjecpl$F^6}c|Z}pyr;si6h%jv&(6Q2{VMlM^cDMx-7sZd`I?%VyLoxDV`6w}f)9QC
z_;G%oh9f_D@SwRdR-y26H8VT6<ar=a9c4GE3kz+!rGGHWe}fri7)QW8+IUi^1>Oq~
zLvm*&%0&JNCss#(v?K*pY|tneUUAE^bUr|Tdp#7>ltK`%`R^J=CMKPe7eQvUrRkFX
zIHEjLMhzLRg-7Gsz5BbDB~*{TK8v&G&Xpue!llG5@wLy7YK2{wj^4RzSFALRMiV)C
zQXkgeQw^joV#luRQF<w?z1+u>KA{_+@8XgdtpzKhigR7x-3KhX&kU`nJrCNPnZ`y(
zMF7pA6lNBmG_|7B79BBAKoCsOVMN^Q&6y?@M%jH1-b`3@RBe!fm<Jkv+ZqV$x~J$y
zQmStJbR!D)&2>D3n@o+2Qm(weUtF*Uz9BNHBQa9A2x;emAB`CFlr22YOrXv#WtrrX
zr~6B#?3xckAj#t)zwD^r;EW+}n3LI|-_NS6YlU&}EB|PJc;GaA@5CE|6xlZMd6Lnb
zkp70Jio>@>;j%eM2)9&bHOYI>XQo_Q7%DZAUB3gtDKkuldz~wdfRw^8gbyD+yv<=l
z4}REzm=H|$Y=a=<bWCzA><ezg*UcqPwEa~<{QfTonSe4D-RqM?M#siP4<1YqbAVd{
z(=20IZ(^)B=^Oy1)m>n_SbH?yuI2SvN6WuY))vS&$JzOL{di@+g>`BZ?nhVtpGTd#
z@~UI;aI1vi72nFlgalRf5T0iO?E8+Z-eKi*qP|9-!kdRF52Pfg(!$gE`T6#ID|L<5
zkB|3CIkXE|+uCLU%1vkPfD^^P7qP88JQ~*wY<O`ZEq)U4r^My!ZS++^63}}q>Cp-}
za1jF8<Z_VF@89i~r~6R}WM#$JpohPDRr^!bk$$b=QZ4Nl$6^ODyntQSq~2bl5R6ac
zQ%Bb4LIVglsiPC1+(UxXbmPglS=c1K7wky8(b(y9+gvrcJ}M(3Az^auTC(@jkBm4a
zpG=?SY51nIUZV0xBR5Rk(CLsS<lLDv>3Mk<OFd`EElKKv8W3X!zP@F>k3eb#Qf`)m
z_?sN8tOOluUC@n!vC`a!UEbdw9(5n|TehzXWTFi+=vdEARI}}!!xX!w*npz1s;a^q
zxO4mVLYGyj@ZrPn*;C+t2~u8kI63}P@BtI&AOQKygoFh4zs3H%h?rP5m4bBuFh)_q
z(R3#ah<R=Tn2%qX{pzj2qv&<<%9SgBKhSx1+b$x|rAw9m<>XJe&KzMN3yfJ##?bv%
zxU!ksH_mU#tbBDeda}Qi1k9o%O_yJz72Xl1I0GC6CF++`PU5@Z+?;Q_0Jwo`+Be3?
zX=-bSTbqRmL^q_~y}KEtt%!iYhX!kA06!yNfea`^D2c3C9X-IS;%^aQonew|2~6~P
zDFvOd$E)j8&vjzuCo0ya-Au$_aJx;GGBa>>p!v4H$Ta%1=Kf3Nd-x6V65jap=kqL^
zH=|a`+VYHZd(n>{*8wuL;}pA%Qs6Ov5^(dk*YyD0TU%QVO-(^Q3JD4bfI&s5zHwAH
zuKl^La>m#9L8Y$&QxVDATFjTvox6`Nc5<@7;>;ixK*wRQq8zFYcIG8aFw_Tat%zfK
zp?pdfdXTsXcj8B;JSav`{2qmdGAKIbWxM(LbJy3`y=#;h>(t5Cl*cxWG2Q9^Vv(J#
zX2p=4VxbnbjSqu*7ZnovJO?D(POl&Cmg+z)4V1uE5GLBva1BvXzi@CkEflr48(u1L
zubq>{Pa29EL(sZV=ItjqZr`~xGBuUm+Nz(n1RwYA-zQHpKJLYif3JOx(qEKU4+?#%
zQLhQ%HE4=c!Ua>8mm@1H1GMS^bB|j-&P8aetM;Ft9;$0-z!STtJfNtGh>PbKGb;Sn
zCYux0phUVVZp`sB^peg6>+9+5aGrvwAimjyWqOeeeu3bTBM#%uiH{yWY^e(u1#C=&
zY1L?bvj0?jA<iTP-tOQ*)#X07(6*HjUIk74Y!7(HqBt$)p%=mi?$dp8VwPp5f`WpN
zLPCsnbV7zdJp~uz=FPdJ!*HI;W}xU{FJfW{-@kvCCyk7ZNXdGjR*nb+Eh1BGEeF5;
zTO7{+WU&6V_UiwNoBw<Hn@gIBlEO*)uDIYQ+cje4@%p~LzIW&-rpv=h|3`V;xB<E`
zN*<rN^rJfo{4}tq?4S_J`_YJ^b!a8s1TNqyP<lQ~*CCWLK=cEn)?Zti0!B@fUt>&r
zR<>1cP%1@0-vM5BfL9H5DLguw@(5Mb&4GJZt1>f1fENiVD{tf~EY8D&mCaMB2MR-h
zS4=|H@8I?9({qlmtJ4gRj8srUuW}dT2n3JL1dlH~efo4vkJ{<ehWh%g>3)jzg|=Tf
zIX!=QHW(Qfmy?iiu;%b@zr8+-hp2s7H|5DBVgB|)cXxNsTgPZ-X6DJMNbuf(M9cA|
z>BKs`7lBuD;sufaJ8-PB@^T{#X0qK9gUM`eZr)N;vCyi8d3*hp$IL+X?{~IHb#)F7
zVnHH{iR}ff_Y$jM9v>S^JEV4Bw!ccxO-<dx!lHcGf3+U#FwvS)S6kZxNo|h#iEA0a
zr3Hlr1<yWw_>f!PJ^kv{t3=lkO(R1?Az@*SFiEi7@KZfT6B83*$$PQBdXM)?kVhM$
zx%Tg$SRo8ekp^>MV*0rR(HhD3&&Bk}$YST?;M}tLN12(K3(w=%KiI2)ME0I89<$Ix
zOXei_vO*fQwY8c$Iyr9UU`(`8!S*hh%!7k=zmWz}N*wt1Eb>?OG5%L1+W!FTc~Z}O
z*~TXIx5J0Ie*HC}tIKo>s8{udbJ^T|+R{{3U?75;LJA%~T#SU#<qQP)|3g88v&OY&
z4^$aVu+YJw$|^uBk0g}2h8Q^mRt}zKC}mPN=dbZ9`*!_Zh5b{{%_JL>a%1?@#Fz@B
z7;L^YP~?*XJ~JK8{?r2|s1qN!WrgU@YGh<2A|!Ot!67rLq5e-1eZk+q0_>%jo}D{)
zE|ATgJA7gw=Z%bw<>Rm=?iyi+mX-szC!MFE*o7stVR_p;!#gpHrh%g2@pR2F_lbqE
z`NjO=V(x@Fu(hv^2!0H6`W{67A|$o;_E?tLusILX6t9vCG~;I%An5Mh@$r@<e2B2H
za7ICZhK5FYjfSpnXPBUtL!tVaGm=S@siIzZvuGYxmqImXg1hH7)q*^aueIl%>}xqv
zQ|!C?1}wTL#T;NL*~zJ?@|UEDy;CS{-<Y1+(2+K$(Ao2$%>a^J9zXeldDABIDOnZw
zFPq#h-nm(H3;nsw;c%Q&hS;HK8j%8GPgGH{?B`?N`Twbf+!0Ahq6S^C_HT%z<H)Pv
zaow_|;n#ip>=th4R4X25m3kR;0R3SdP1r(pQ8WLd=9aVGVK=9J5Trc!$!iZltn)g8
zkSs1PMjHce7c4Ad3<5L&kxk0~C<HgzWdAix0wrPp;lU0}g>Uf@otSi>hJN$4M^P){
z&$5tq;ni!<IQC%wiwFzrxw{ixU0r!(ym#;2TVGGf-FqO2{Xl9%v<wCMb{!J_b8L%~
z9a_%iixGfKd?qi3^#NMJsmNMfDzN|Ktu|3zHc_j1+As4t&AzyqXVy?2fa*2A|JdlW
zGDLhC^kpggR)Kp#LG?BTQY*dhr9h6k&y+9M!EF9)^f~pJX6gRhG#Xs|SbEW5>}!L}
zVEfAxR_(=Zw$R!Hil(FBIqg14?Q?6YwJDHOf;{VeWZUAZ9UD|uR)!g~E9iEh-%UK4
z9hBNweK=H6e~f4QzT;IbHM=@bgRu+FurhwU`F9|dEs$V%D5udOKEuH>?IdR`5N^An
zs#~aFX!EFlgPNoF?%m4(Cj<Cz=U9Be04A;Fw}w}Dq;O<A5ILxhfbdEN4TPbT=SZD$
z>MJ5EhVQX&RJ`6-luwr1vU#)Y;#_j!K`Cdxb0IutW0dzF9`54xQ?yqqo39h)mb801
z%oaQR?b`x8m$dAs=a##k{1ONzGW2fsZES3kXz{W)PVYLZ)1I!EWN2uZ4DL4$__NMe
z+xiGGO$`k_3?>TP9=IX})K7SLcp=%IXbRItUmom)X(NK01=ZaSu19Gx2aoJfyEBMD
zd7mZ1@LV-3Kk?kEcw76;^cz3APNY$P0He2xPWw4`nMPSLjdZlzIUJ&}&=$YZo)Mpx
zeXrbS*<re`7<FxkxK44uwJ8#}f(HSBY?8OYc~Dt9R^I58ZDTvMqa^{oK(Lqvaq@dC
ztd2+oWMCPzPSo>*b{3)6sZ<-FuLQh5^BCjjlC~TW7byNsbr-0wuC6`;JE<$*3iY4U
z{DJ$rVK{TkmoT_^odPLazT^Xyv{};F3fPNsj>~_WVbsM>lauvbLCFKIT-mG6y9he9
zh1a`J!W@i)9%=~<ShrG|t=dEbSBmmu=0@(eh(rOi-nWjpye0!(C2Oz{sxlnwUI-hX
zK7D)m=7kGSq&%lBYN&u)01$ney1JhB<=H7Gs23wQ=xgR6mu@KPYH1a`e*N0Q#Pk5}
ziy~N?HDTBMs0}iUOLN~Bn_~*|9DAi9^vyt%xf5^FFnP!70q+Y0%s}5~lbY^uD%)wt
z$hKsNNlTNxf8^I3tABH>wBHFd4W^RTk;~I7VOeGeEqZhG^(nijPY1ucGqVN(L*U?*
zH;tBdbR~iq!Eh?hs)`zRNpqj#JRp5N58!dKe|iE}{U(aUXG}1?0#RRG;yUsusiCb?
z4fqxTI-}&`hBgSf66P*LbjCwNJsq^ppT7vDKp^99!cWH!vI<n+%($EA8$eh9-sz%Y
zj<hAPvMiwSJPCeWs&;fLh!+{7t`gV?097sZgw?0<_na#3#ONYEa<+Ne%8D1BLT<?D
zZ|i&qWl11|%*`;D@$r+r@$D{ni7~XzEG)wC`iIGCR-;2}IhN&_&Xx4H<d@J`K+R-m
zVztD`xh*VqVoQl+a(ma!B6yP$JS7$6BgW*RqMz9L26IldO{K=ElnkK-_uAE|1`PF0
zK>>&}y_qJmcMp!4DUS(=atQWR#tyI$z}|t}*8Urp#mD+pFpBfcYqccGlcBXT4%y*O
zL|twOK9oO-=9ayNR74XWorVLV_-yd;!0Ve>u4I(^Gu8%0fBWq;bWjbUqa?7O#0Ty~
z5&)bDbcb9WmKO>ylX|5BHhlX77<Bdxc|E^ePANt<Ze!vhB{AP^)=yW3PJH+Nee4FS
zj8mU1eK~+Zf}*kb?XiTz%s@FewBo^@HcxVoboimTFwv$?>CEi}9-57Ag@D2Wjk7lF
z#{6E5xbi*8quD|9wPnie*Y|~%{ECiBJo4`6NrV2SVCpYIV+;oo4=zzate?`9RJEWA
z3#;4pfig1)=N1@oYN4AnH(aBz;n$q-`=j7sBa&190@`ebjU&@S9V4`bi6mt|nrs{d
z+6Aod+&u`dM8;}7<A#;>biRGt5kOTv;IJO(OCN{)0SdFi$|(LwZjX^O1qu&q0%Bs!
zebWb6t?w(#fE5mKtI6(yG!z5C7mFmr)_~X`F!j^2PNOZsN`LwSma&M%l(^gDBD*J}
z3VsF_TnU}9PY_sSHLwa%hy*=>ZkW-$aG`ym+=s$`EAFmnAp2H!b|bWPXAU3020C&s
zDX_4z*7x?7HYz73COVoqM1O8<1ZXWl-?X#j3*8Tjydg|Hetl(5I<rv;L;}y4U8{HA
zF)eiFVFgCU#yT%!bunzf-f8doHxiV5mc|<uX0GQs|6^_KDT%^v7l%_KEnDAM*Dutl
zZ0OzD!tRjg3@*!V9-j3(Sk8u5LEIG;72JwmdBZ$Pc!=caphu5>0h3Z@Qo>hdVQ~m_
zP3cU9IodOX5(ZcUTZ=N~*Zv4-@X%2c!=V>8A`Lrx|G_s5_)Gh9`uh63RSpkjSo%y!
zLEKLic3QfXq*N+{SK9)@CNVEBPddHP530@2SL-VE%njjJ8A#vjrEAI-VJ$2thhk$J
z*uiOFF%P<bX|Uuk@tnzlZ4_zB;7ZUSmI9tq66M?u_7`Q{_)};(_b?;^Rv)8IJ^v4H
zyJ^MsY=BT+dH2sZLgL=;NsefEf55pc5g4Y@`s{m|sWmk$=b$aA*9c6hG3ihrZ98hO
zPT%<aNIe;rn6QbJ!!(TW<jHmlY)BwOz+1znFX$LGM=AT2Brzhf{`Q5=g9EhHrT{1C
zSAVGc@`VUB0BumH#{)frHp(DsurC5P?nWE5+2F}wU`8DM{ewH&Z?5#u_}i|ote8R*
zoeYLFZzxDUdD{9~C8HD~)izf4#yi^Vd(LbCGErICE_7=Ym5L*zHokwvB}yO-c-Paw
zrOs9h;xMC*HWUD668cL$6=+^P-gc8b?OrQigR;B2y5yH99^$S5E*M|D_!Lb6;-_58
z^2za2el&O7*LU|q#`yhL5=VxIt;#{|l3@o10dzurXJ@Cp`}otOCI}${`s64$;=$Ud
z++yX+g9UK{7|Ygf$~_TviWP`K0a$c|Y;%%)FiMoI&1A@(Q2gv6Ud@l{#N>g3cI<~W
zHHLc=AeKq1a?<DAMz6qT8ZvZAvLz~3-ho8O<MSRr1TIz;S}ak{B4%n#9Zmcc>c4Op
z2PLwwN6As?7%V~$gbn`Nhi#Oh>N{j`&&8q}Z0O*46OYwXu_&RD!Vb^T)vsQC4Ugia
z%YWkPnd}oSEiDo8@$nr=>YO-8@WQ3F`FaU+bbk*#rtQZMA58iE7W63b7uY26d?@R`
z98g~}w<rsi^3UslH=_?h2B7L)`Vf_#L7fGp#6SuX!CD|FOc%Z9mUB&BL={j^F3`cz
z^;bn+bFb0N#{t*HPqzUhyySMUcA{zR!H&Z*<T7hBG9|atX>q#07c7v1E!+29hD`ze
z_E3yTu;=U=C>K*;#bgjJ+0fD~tllqm$!#<NEM|O&29N+K+)%k3f_W9llYPYnBNPe_
zt$MIWVu^D};!Fgz!(PHRtKlZ!^XDH(U3s@TD=)9vzA}!u=UCQiz>yF>B?k@HyUCR!
z_LQ&KjS(!tslUVw(%E>dF*X~FaD~{&w8|r0a2pHv6KLy#FR%##Q}Ul~B^!!3?)v?F
zL%d4mz!Y>-!SJ_^?%0H=TwC9B967uW9j#VJQvc}mNo0ui7P7T!E9?OC@Z5&X-l;aP
zLY($P*B}<$cpy;8LqnI*&ZyKNo<S!CI!Z^Ab1r2C(9!}>$EhRBM4}wnR>%~(Ef1vx
z5K37Pmy;b?k<!<@n#pOKk?h;Z)}aWrL_o6HLHh(#=nxKD6^I^FJ>F{)&>`bgUP<8K
zQ%v8s>xf+s(H>QF0`|}vqEX`+1hkk!r{`xS9vT{YE6;`48I`eYABq5-m&he*{Mn`;
zLpNR-O%}8!K_+*0GoGpQwE&G3)Q~8fz3oq@U~zC`ZW*T-&|y;OZYf@Q!`5KY2Z&47
z&@TrA%|AiUV-N_NTwKk^j}z1;6)?K+v2<2;ZYWhKYrS>r768C=freM7)WOXH2bT=o
zF$D~^LZ>;T`To{G<OwW3Wuecepw@|`6$V@Aa&s$anrwTHHN$2@w7@B?et$kKv<tBa
zL1$!cu7+Phi2<Ct9i|aBjmqExU>%GhWi0&`jj~}M57==YXI~*h9==<CtrA1G$$@l6
z=^|?V0|1(VhIJ-a?2)h}fCpv=93M7Pw)1byvO-V2=_A*sKp)tu*>}?B%gaQx`vUt%
z1_lPAWSryp{1#elrs`o+3N(Y|Z_X!!CQXCJfvAE)@6YSH2vHKXXiH?r2LI)$jMb|X
S^w$u5h{jo+GdZU(-~NA<bcx&m

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_images/histogram_example_2.png b/docs/0.10.3/html/_images/histogram_example_2.png
new file mode 100644
index 0000000000000000000000000000000000000000..1aedf7549eddcedb39e5a3e46bf401e54d478fc3
GIT binary patch
literal 12592
zcmeHt2T)Y$wr*p<H0sPSiW0{G6DWv8k)Wa^B}mTbAUO(6l;kKlCQyO|B?(BTRdPld
zK|ln7rX?rIIZJ-u_MEwO?mhEvy}I@8t9M>Ksz70P@Ba7yueH9g)?H;qnVs92wv$Mt
zopQ40RY;@_-Xs!T*H(J`MetMG7yNUId_jw>YHLDvzG`nwQn*UCv$7>yng9B;ld-*n
zxvdR9j{wifV?Udb$#xE+yu8-`_5vPTdsANSTRmF1$u>J#Z3hx*_f_JXE>SYUoJ2Yi
zA$R_)n#;4X_8WRs_2TuZ1^PU*Z7ts3(mls*<3kU{I5z%pVNAsJ<4~L;*W>V0DqIQo
zHRMegn&jS@A1S|Q_3>J0JA16T{Bu<m#h+!YGX(@$7=jAB_B<@|^qO^ua`OIR1M|F_
zIJ^Jqqlu;Tx%Q~OmgP53C)UP`Sj+cuU{P9S6%Cv5Z?xwRBsvo5m=tLfiS+V2y6;J(
z(vzFc;7axP|DqSX-JEFp&PTbpsv3+*FZccBBh~%PD(0f>-06|?_U+rBzW+XYyuE;%
zpI<eAJU^=KI8=W@KcD=mIm1-n$d64t`S;(q&W+HN`uh3;;;dV<htdniRhH++_Uzl2
zI5}z8?y=CmG+r>#Ha;;`!5&i9U8ia25r4h6{HTbCR!mGxIKQdi13po^E^nKHF`><y
zHy;%f)7!zwLuQT&4CJ^|7PE(2WAL#I+hrG*-1OX@?W_I5C7*6?+~Vm}teBu`Zf-u@
zQB<&D<HkLE_r5r)`eN|&E2EHQ!)>HJI3NL$ckkZi550Jr>AC85@Zdr7%7BBzpI^lu
zQhb(}iKwt{QKJ+uCC`sG$I7sKGz!|ZWSWa!@45Ztxb7iCLqoaxe8-VY=Lv&@hYk(r
z4MaAC@)-pM2gm=wA^m=zYIm`WKilzyhNR6q_8vKONLoo^F|NM8Uf|mM@3YJsq?IIB
zGew<76SuIroOvo_oqS?#p=7;CBTXm%4!ft;LZ??rQ<`o<Zmvj9v`!eY@Hbo7)z;Tm
zv#wSCNPJ!v%|O-Ny^u#Q*Dh>5mNdygPhtwa%Wyax+pVgi($gei@?jqX3yamqXQzxF
z@R{Ht$}1`=tXeWFQ}y!dWlv&jY>as3S6|T#z1n3@Vh#3L@o{nc<oY9Tj9<_4SYKV}
zA5NhN?YdKTOzUMS)pPVSUqhz3YT%<sT^6k`uikom4clQPfAOOJm~G*d@8fGvj%oK;
zT$GhPfm3$0ULUjd;t%*>Nh#{r7zh`%<g(u4UHxwV8Pd*seA2c>b5ErGSdJP!ke8R&
z%lZ1%B|_x-xy8lB08f|Z>>CT?^0KmZ6P^pFckVlJhS-eOsc<3d;ibj4JO{3$M?WbD
zw{yy+_pW@7lMB?7TwYpAR*I51S#H+z$KCY#y~lMD9R@zO6gb=ZOfej~q&(AKqu-j-
z=~?j0FTZ5E%?)!66x#R6Z{D)S^8KR&HZx=G1v%-3)AH7zUv>|ywUW9R&3lG6kh&`T
zSWZ3ft?;)Ts*l&nC!5E6>|&QVCO5sXplM?A!lrOadNV!!aImJq<FanMksGsvmusF1
zD`{(Mr(b8p<2--+ijvpQlrz@Vbp<cv;^d4wx2#0r2#QmT5Y4kb&9cjJ^z-HAg$auL
z+W@DDjx>hDiizqe8o}f1=ItcAysh3Ork@fTj><6!+dTX6#~-=I8e(O3(`qeg>A|yQ
z%|-16&MEo@PBtDBxxKrrI|{XTOMH!f9vkb}7pz$|M7H?+@@o3>(yRNlU2A$z<K!s^
zQnw)*5n)4!ofNW{nVDHy+isHHdD5o3=-a-&$*wc~T)e!RdU|aKmu*_J6_muLZvV)@
zpsuVOEf;vm967sv*RCg=tf!qWH8(eh3)@Eae~cJm%E57ormQDa2$h@FMvB|S%q57D
z2cwbmDPHSqHoV#!&**nE5$8^!P}X`S*QAKkcfzw@U4P6W!zsteqgSWz+#ZjBw?qc&
zWLt&ZyMJHMq5o2jk=&lz#`ySns`jea+Dw$=^cOkW{8QWFB&j>Q%)d@{tNZ2k`khuY
zFi2mV8PNQ^u)5GW@^z}$@iG_b{&o8A&)mwm@@50h^(-GBU$~g-Yb5N8SQ&pVNlC*I
z8in>LR%Y%?pi**l^cg&nMMq(t+w5RWp2NWKs|vP;v7F9y<noatM`YKhdDowtM!HI4
zt;$H1+3q{+7M;Z&jvCAAn)>lrk@nrYce!|YG<0;riL|Z^Jgj-jq|}=({G{<c6;)MY
z6Jw<ARMplh6*x~cRRwbsiQMkFJm#puPg?#~jILh2+Va}?exys!wxZSfR=2gqfw>gJ
zRe2mVtwBjLZDqw>e6CRy8B-s9_Lg3+NlkeCLdOlIz{5&SjE3$ph<mfe>Aw7l;^m;o
zNFJjHzPnhH5fo?AbaT=JTi9K{{D90<NJ>f)b)Al*-_4df5anf16E0ZrCHKLD@8-ta
zb-k7vqGsQ7_$T7P@7=pspL@NxvBYa#G-;1_5zCA0^k3;o_xrwlF{_I{tCMGc&~$_(
z;G(y2D~WVv|AwDQByVE`Es6AmIBsB|9sNH6V%e6nhV%$S+mclcWDDy3B>5D8lnFH+
zi_*!lInK_0y4L3h5^otYHs$?$S)~v_tVLJp&5ij>!ztqWzB1pFc%_ij2UjOa+qZ9@
zwiCn+L{W(L?B74MByPj8q02b;>uXzO<?jJs-qPj$)j6Z?-OK>zU;nG%?4m$w%QO!}
z%}PR;R(IPCwmWyOHuIf2bt=Exmze-TKi1P0&999e4Gv=?5?mEXVjfGGZu6r_v$L}n
zbDcT1Q8q<$8atT;WPxJgd`7;96vE@OENM;G<FQ$h)IS<FH$LeuyJLyCrjAEFejMX8
z)?(iM)+Zn?UB6(s*I%-!=iU81?Cge`#v4c^muIw1rG{L>!kX8wU$?QInwr8rrGt&C
zs;bm9H2Pb3jvr4;ndX%9@$o^$Olny6_P`}9v}@>Om$8dp4A1S`w+F*5)2GP$4Junm
zT54)>FJGR>$;OZ1Cr^e)n=>p>;C=WIFUWO+qDD<EtwbLEd|ct5v-f)Wd)a~gy+d4G
z*0|R$0qd4a1x{m}o0{k>H(pWr5Gk%(Sy`DrR$s4jL0Y=0(jz!1Xb^9_mv{QY*&i-D
z+Oxl`jTy^pnOal1us(m)Cwru4$iC|!v8*7r7E0~Ofuy*&+a#?msXM*9yStHDPL|wA
zFJ)!rc++*xqd)%~-C@|X_1^FG>NIjXZTa>Bmw2XO0NFUj68C7D%-z7mPH|<N<lV!}
zoH9CUm6Po_(sWcvs7Y!MqN#B=Wt(?`VuZ@svo{ezoU4<3yf_rDW5<GK%c^sL8Fq6e
zNUbb@yZCIKR7;j+NTk=AYtd9WbNDHT7l*61kVuKb1`H(0^%aM?Vd}*qx48h$gNF~N
zXi^NqPdle`4%Nj-rJpz=H`bEXkgT4PY11w`H`=TU=F)hPx9AU<Qk*$uK#)e-#Ui5I
z|Kr4&lu=y?`duuENY<vS>bSbopZ1Inyz<Q4zbcpf*W<(wG&h&d&XO-&xN!8u31xr=
z3Uc+q<%Ib7Brpo(L((rC90W2&;EW@ap#dhpLnv`;q$=CnzgAIE35trMM2g?wl8`XC
zvzt9VbA7t6TF|oT7?_pWz{d!;#lDcNU*ByPpMK9Vr-#CKW_3E8lxz0s7llYM0z!tH
z(w?3?d9pE8o8Q>PM5DzEb#Az`q{MT%wUdjBOCGpK1%>sRPd$J)8x8ECn_O9(sj9A4
z)zf>HQd3bOgKAJ!Q<Fx%RN}cB6cRG9-5vN$9j2xT{`$x7Zb|!51y#dc^1WM>RaBl&
zPurtD<YnFQ@iC{R>j(QSg0-at1pL_UK2vkDd~kW9gjR$^s0{J0{)f5}u?_Lr$Uza=
zsKtN^=r){`FuO8S%MDmXVb3O5EP=<T4hagXzj^Z}UH96xYvLN;kx0s?3wyr1A}jm5
zyN8Fmp5ADafu3IK<m9A$#fLC{8E`Ec2py*!C~1*mltkK%@jMxSiKRq$cP^7&2ny~~
zr<$|$b#&ynA}=2LX+EQy1sR*@C<=~<7_)E?ji~zgQNzm0D&7dJSM|V`#ib?rfCqfR
ze%rQgMdf(Zx)Vt8YU&=pcR<jyXQ{VuZ<-rwknvcaR|jkpANa=~=jG~eZ)0eDp}-vf
z;)Q$wQSdL^-<yQAzIXTTCmgMS=|`4_ET`)CY(gO^e2gLt7BTYvF$a<Mz|5amS<`Uh
zxgGmdw6q4D$|pc20wHUR{Ka3~+OnHVKtPQ{#;<Y0YyF0j0&Wp)0Bi}0i;Lrg0#VQB
zJ$$&rx&ZJiFDG{yP%o|qMO|m-@=nkjd!8uqk1%_H1RT)vCH)ir{{IXA+qR@UWy2LW
zxBTbNpZ^5G8XCIKy7_fqz^XsHWV(67i=)5%a*mFUE`PqoG7G}OEqO1}i~n1Cy+)b?
z5V$!wq)<n|P6)YHyfS?;%YvGGZhdB;mQWw~e{hHUi~=DEJKbj<>SUT-UVpdoTXt>p
zzQ6Z){g=wX;Ly+`a#io&*8xa^!orfYGfdP6qwpV4Sql`1>6w{8PSh-_X(eKWt$PnI
zU6iDkfvc-4c(g;-;@7W7cz6`^^74ZHTp{ZSNF>&N?ARqp{fJ1n;iJJJA)2m|#>U26
z$B#P}ASwlf41OS8l$R%{HNgtz@ng@PJ?f$+$Tqi`8ew%@pr&YABGGhm?P4O`rz^Q8
z4*x^Gr+vgzL`%3_ApNO3%%P)(p|zy_+0vk=)%Ne-ukIHnej{7)nMij&tB74R8#jVI
zk=5Y(&cCb?=g*&i4+33WT%4W_N|c<KC_7La6;e{-<-><l*uHgZVtWr3KOFX-RE8x8
zF7X@l?}y0wEyYX2+!xNDS7Tbkz7_gtZaO0;uc+8`pSL&>E`<7N=kdnIBvr?yS#w&!
zZ-+01MxzE5EGb2ZszcjTXNMZ*sG5f6)MRy{0)hew{F%}3E|vxexXqfep0Ym=;84GO
z`7xAPmPrj0jah2@jvalyGhVL3Cr_$C%u!MLs8Du92s9)p(aLs9jwT(&f*N-KS^|QC
zh~f|@zX0B?W_JJKLux{lr%r`BaY)AuW_~<@S0-1)(!E3(Ba9TTOm<06y|LDug)<j$
zsiQWQ&JMmou;+}lwszPqHnG8*_lT#Bl1Zm?M>Ob5QuGTnh$=k>G%z+bohd5Bb;mzA
z=<FI3F9&eKV?m+J@$mHYBqYIGpB>`LKoReS8Cg={*Y0Y9;dHLAIs4qc?eZKop2Y1s
zYjkCPtaYHW05s`kK!xO%6Q@t>LSc!ze|_0Xdo8B|{d^}G#cR@lZKpRPxPd`QEJng(
z=?L-(hC^T<Zlm=kmhJ?yr~1k92535QZN!GRy4cbwZydTN&`nGmckp%;V<H^}lkTey
zx$zpXKpJtGJ=ld!C&Epq#Ip#J?trAEWX>wGX<FGBujr`8p0s9L-}Cc(!a4T&Rhc!r
z?N;n(A~ROQEMztLr5&-WRT)bo3T*V6>+E-3P+UBVDicK9`crX_&sg1L&zu*dey-hF
zaL1NcMt306#Z-U7nnGsGNP2}X*W<_hCD(Ex_tk5^y(i|Z!A23AHj&~j`*2@Bf%l})
zr%zK#OV51MI9<VFOFvGQtS^@oSTh@u2kQ=aKmrm5*x&Zb2CKt4*|bVXNDQ~-We`Gf
zC#z_q6cGz9!v6H7ng*`#0-bk5jvd5r_ot_)GaUvL<y02N+mWlhyEU;tT}9Zi-Ru&n
zd`9I*4j+~|u9NwQlNBLzi+-nyhQ^a~Qc~jDY<LLG>A?c;iGm4<2r*X`L-#2k!ptKo
zPK6&U$^;c!d!n))TT%E#rk0ehogocLtqB&PZ{42nsOsh>YP*5hR1P-rje}&-zJUSF
zn0BPEVnV}4f`q$BVvUCDOSEtakNo1*d0oxcH@CJB<Z36I*ymfp#7lVb63MkGe|(<0
znpzOyE9_zwO@!@1tiYjGeBjR&Q0N{!c%bI#S=>Z1L_j;q1>`%8CBr{cdIFZ#MHREB
zpN#dFP|2}rSJTnqLQo%&@*ON*9&dmFnZRsYc$tvdoon;LN<j#;t~s$ENe!^;T&J($
zbk#pIvaqDWhBN#0`~q7dqP%q3m6NnKvA#y}-N~%cw+3+!^Mu02jfi=9M`ptn@UVFH
zb^FVKhZM+P-amFr1tgWSv2F9VZpr)vt(e?aV%;i)>eFaM<mvpREQy8h*W3Lc!eWVv
z@!1((Dp=#7;rg86p9%NAqEu}Dvyt2KSdQaZ77e;i4n!0&+>&*1XlMuvpy3&Z?|wU#
zNGw82D^$p~BQ;4i!2$;0$#U5MmR)yxdV7N-BZ;#9=cCS_t%EZ_kVIHgd}GZSGUfXm
zha2UN>t@fY$zgRGlY_!HWmS-hj=c|s-SUYvw{)2;@Wvr2uW$9nuTTDaNk<_U=|w^U
zHz@GUn>Pt61`{?}kcXT5;;uVVvC<EdTZv#}BK;?9y!cD*>hi+K%`I$o$8*|Ll!9?o
zE>A$<K=90`zf{U!x}=8i2!is4wQ`i7Kck8du66#*$J2tg9b#FwoyBY^2&PFE%GPf+
z$iN`7r>95H8u<vIRkg9P3GOA55(qC3GcUDi6?Sk^W@h6U!Qnmw3XdH<dfC-A54L$*
zOWE7EYWNxoMUBwnEm?VO;6C-vqEpGjBKfylxAb$~zkgqyOqdo7g};#2R1PaeHlhs9
z_1xzrti+aHliEnaGR(Ev0@YZ?g{L2uW>8{OW<GcB+?SD&l%AenbLR2G=gu9?!Sy+s
zp(S8|>6Cq3O3e^iJ|JAc{5d{Vg;kWCc!KBWpU(h6v-HHjNfHp`wY4<@t6yhi=v%``
zNAbS*@L^hA$;A+!mST?rsAj#K&Xs;)CIPcY_{GJX5t}IpMQ}t8!XNgna+HKeV~(vM
z+`AzlB{nyRQz7)kS%m*(JR&T4$96|r-b33@&wV)6&43h>LJ-sd)->>Av+=e(=p7X@
zIkPEMyVuP~_UhFb5U8Hpa92u=r@~1`<nRT8oJ=-URQ!0bf=4$yb$$nq)XZDtAoly;
zJ5v9>!TEn80se3PjHzT&C@M-~;t|5=MzcdV+bZex1i_<pZSpRljHsb>>|tbdt|XXN
z$6Lz{UHA5I6B;Zi=qDgUifL`+J%4{1>@V&yG<ITN8C6)6`R;_0RljyEjxaKzothl_
z@b0;4y!-iu`$TC*CnQ-n#|GS3Im4s|+*sRuon~-Dp=7yzf)HY`s|Mpk3<4U4)SR50
z#5H%JT$Lc5BL9*eQ$@?e_)W>(Z#U~ZQq>*R4<Q+D)e*j&FC;NIGWW4#AJW9Zn_+b&
zH}SD~e!ZGy)82CY{F)lL73?*=R)o7CH_*NG7L;yRpU%rGH($SgJ^S(W#E}yxURHU+
zO@oW>)D9nE<dr;NwxxRy-3d<4^I)~#TrOU?TrMtO4^~Jlk7f{WmspvUnj8Go8{mOW
z`nQbF9c>{p{wX-CmzNj3+t#t2ER3CXKQJ@v_T>^*H53L7eV4`rrKqT)C~t2Pa4fGK
z8_2{=$)#5g2nY-ee)K3BtSb?f4FaWMs3GB-)CfOu^*305v5k#ta`lAs3`g7o&NAqq
z3YaYCP!%_&5q*!LSFX5SqabQ7ctI1)d;#ZiJ;;QkqM|yMO{v$5_+Tk2OGvCczn$@6
zG^m3q;0Ww0U_E^B;02UD7mp{ziBJj;k>p{X1mKISJtQ!&H@gU}gM3~<W;EUOJxijO
zs_e1p3_k5&wz2yEj2TAJ%Tqyv_wto1(di{?ZfOQZ`H@_IgT?>U3G1(UD(Ez-rSMGT
zGE$bBcsW+UqVWjmcWfj#VW%3R`ZFHai9_pzn~(1@!6BukeG$PgK79Bfzs#%s`aCK^
z!>!#Ci4cDlYb%R{^FCW4x%TSsH&77MKVvQ8wN?n?D{y1pO7p3|zdsN<=;>44q0qKA
zJ?Qa*talX^BQWpNrak|($|ca#<pfU8o=m2+fh%#!$&@UrbcRHv&GnWk#@{J^%o!n)
ztLv%2!j?|o@ms~7;dADfW8&C7*_-Akn(tTemp2YyXJ!B^fQ3V}&_KI%Z{P<EeD$GF
zcn9*!j1bSRl7IKoedYn~Oltb#u3p;8rWL+L*_2B&<ZYAZ#L|@+>A%~Dze%7Q0va$f
z`gLcR=BCo6lX#w-3|~MoAw4OcbKIv`vX(V%&CLl*(y^<Q4(UxDe#N|@pZ3*tnI+7y
zcVNunnx~-YgHPB|Dmq^};x<M-e^qQ;;*H*xm3dwEl7oa+K6A!fR~K5zLW3-bd%E^9
zEdTN!?rAg<R&u|vN8#tcW(nj=R#vIHUUKN>=m)PNcOk8x(FMhQ`Eu<bCubsBwZpAB
z6g0!hP}V5n@&SjSt%a;xj=(<%5b#(c6K!9@Do@MlNKQ>XM(7}PV3Q6f5QSg><pNqn
zN5+rk6Z*jr262OfW@*|P<#W>hZ{MC<{JPS)t=4mO$s9GyZS+;ew~m%-f}-0(yE8#L
zTrIZSY}l|NC?G(k`=F`qn-wNW+bE71%auY8zYn`Z%C1^@?iN64_9^W7*2q$0|En>G
z)GcTP*2DP2-ddhw@w@2RIeFoq`$2n_;{GFVwJ7;&@il(t21=nI#sPeMeYwzMeD&&;
zPJvUJZd3)kmmWm$SX2DP5YcBBsGdVB_V)H%jpKGAT<$ejq_ic6LTaZlMv+YRgJ^M{
zGncgt4G&KyL=1XrnkgD-L}q!wYnD81(^nNdTpxd*;9IM6G)puqY?dGL5oRU2;f-kM
zV+O(;0?|?MAs6+UCvWlB=QeqLd$X*XRS4YH)6?^*xMDmaX7%}H{xkV_i<2eB)lbwD
z#ZR25OH;yHl1v;}MC`7_*Ouwp7E!4QF{#}<cnhQ1#NBcw8czucX|TIbzByPS@MORc
zLML?#;79{)Vki)Uv^DgU8;CPLdy75^O;~=D4|Onr+s@Vh&)C6;1(W(x{7fr)alYT}
ze-2g4&C9C<=}H_#mg9&<jwhkxpvLra2<^>NwXR)4_GBbB!)7kWf?AbDIgl1LTRo7A
z{%cMiT&FXd`i{YCGm`5KX@*kTWe=H!iN4p;Y=aW8U6hdbgy{}!Okv4zoiTaHdRhat
zyAf?bLG1EFCPDerPNQ~nuKi)Avv(v{&cfDO8qKIBzuTjE1Z@Dg{we<Ed5zaR5gSaW
zol=FYK1ZV#p)F=HSQjJeG8wH~a<$AiFRgooQer@BNQyo*6X^Ms{w_Ohtwy*rcg*(4
z$YH9LAK|RGuApyzz|gRBdu^HTOJA5&S$mIZMHd!|5h=1XNAXH)wJA`5TE7s#%G@wR
z`E)W-GvLGNi9&};iQVF}kA^S}quV<8DOLew+Ohz^Z-R&YX8klEj03~NbyDWmRH$Kw
z#;6!3sM!N8igI#%aLiJR-de~x_UBwJqvxn(!Glyu>~vgxkkrgn424wQZ5Il4RnWpT
z%*15$0YvU0X9mW2xR%?lSFrXs>DoG4-oJa7PxZwmzVdy&WKjhS>?}e*+tSwH`#%Lg
znOPd4&=k6<Y7vX8jTri{McdKFz++BbQ}^7t-}1(?TZg0HR;xxV7EM=i9}*GCty<mb
z`fUL`28EvmY&+VXi8@wMo0MsF`;0I}U~b?x6feIZ*pJA2v%i%7$UpQ-K`etgBmTw$
zZ9LrF-G5?a92jm06^T$J><%I%beA#KMC3MvpMi6SYXW>bakZ;8=VfHLVN*%@e)s8c
zlzWfGLiSu>T!^8kHWa@_Yj&FM4JrLHM2M`4Peq&mYTJw*1_hvH>_;$;lL`mfpJL?L
zzo2UR@!2Pz9gJKLpqDNqXB+bzOch`ib$Tr5r#0y?P$N2lMUC0kx(F2wk=DjXG^J#0
z_R4fM6Tis=V%RBX-Z$G95*0vJPXy@76199~#q!uz@14pZY9q{-c(7<pK_z{R6erp`
zgwNYDkU$F)q_34&PK7fSe|kK(jJlVBAr@(Ej$r_|ZXd=>+fIpg`|9IFOMVM?S|nzQ
zjIUiAM5fjw$>Y(K--)gzF|PB)aby8=62m~{Z<*V|Jj^5-p;!~jCxvJz`69foHYZk?
zE6uoWZ8oCSj)R50nTp&gSUtxoWEHx$G9bwfbC4K^60&JaMBJnl78dfzQ=SZeq`(NN
z`tYIg#zav<$x0uuy=cTRjS{uCSnDNkkxL}S&K#@e=NL#)b72#T6KsPpB?fsmZ`w52
zabtptu#dHA&sT5Bc_p#V#6Vf(5)n|W4&kL0y3Wkv1$p`$!tP(~Xtm;Qv&xq)J!r|c
zP7&^Kk;384o=>7S;XoY6+nTf5DTb0BD4sfnF0a-Gyw)mi1ydgq1~I&|I`Eh_;;9v%
z3MrrvOn#pG-7)RZjPBove-Oy*y!2goZMmMsYfB@9(d#%^cb2FHVlH-RP5S!O2t&YS
zYjZphD+zuuMljamz?5l@VIlE{EWb`y^Nt`hG!aGZEzI>yPUCIbz-3|(jp!TzQO$bG
zAFBJFX*~XsBy{HAcgr7PY%2NDqwmoP(`Y#?CRQkMvFI2^l%W0tI$U}mZckY9N{0XO
zt%Cu5;g+24G&j~tQ!mI#jhZbhm^{hPFX*}Avbel#_}W%Vs|<arRg@VjTrV==e!sR=
zuPwW8NuKKT&Gaj|=E*4jPqL*o$CiR6_@`Y}=y!e`6%~a}Nndi&f%GV~j8l;k9y(YL
zb*Zc>&~k8Mf<jnh&J!K-3JU6g2~5cZ$S(_(BZZ|%R^GoF84<0%rfgJZnqkJ@>4z>m
zCQ3#}N4Y2oW@ZLntB%Bg91IWV<@diOqbA53daY&w?S^CWTQrrGyOP_Pn<kzUg&v<k
zU3%ABDJW2W1ZLVq;f$Ze(jW(>GR93SR@!D>!b#k|d$;q5s*X-Fkue>#S44GoVeCWO
zmGJY?KpZe#UZ06tZ^S^P=7gnI!{VwIJf3XZ&T%|sS`^vUK`+lf9yuyt)0P`GHj*Tm
z`T&9yPaVI^MAYc%L0#oz*D>3a0RSVuIVz9oWWKj*&!?gdD_p+M2!51txj*~Fa0w<7
z8qge`>AJN$9Nu3zy4AfSBM@8Ky~BaQ!N%Y<AJDV@0M~Rk{LzI_Oa&1PlwPs~!nj7j
zy#5dHk*9#PJevxCcIUZ8%K8#-U|^sT9D7rV#V-sDjEttRkcbk_yt1;F*TAX+6)EG!
zf=!0UvJ*epS#NKz5p33p;f6;|wV{R*75B>@GMoPT>#tnmCQ>?Os9NEedBZ(>=R;3B
z^gl?cg>hArs-2<N8s$EH*StRNuIqfWY0bxo(+cwP_oilM_z@${bK1xmbJ#(y6GaOj
zvaMS`Sm(5xVD`ck)vL8@AP2Kty%Q6*MAYZ-!4DHCUzrSb>AJb)l8sGzGX`w5VfW`j
z6kNh=#|Ma3rj->Sm}yhGz9o{+GB6~>wEV$-BXFS_3`}(oHz;HM;WbmwF~HUQfK5FA
z+zqTB?X@rjM>rZPVX#HR@caHdWmgFuZgi>Fb4^fVQ>mNXl+jsFH)7fmix66++eojr
zkAaoddS!K00j#Emn^LIKor?o_me(I{`JkkvWC)yh5v*dw^JFmCAM=STr3aUpXUZx%
z(AU}r5#NBOGe4R}8OXz>h|lW_7Y7#b`loQbL(wB}psH(zVX`%x=!n0)&Rn&$Up1p*
zaH_XL0q?A-kH5(MZTqYG4^@u23SKEC<y1uTl^0@WrN70JB8X&pfl&Yxw5x2EBNP*0
zb@*-Dv4bDJpUGs`oBnFvlGHo<^HM5TPzRxx;LKof6ez`qU=hS9Zh38OZKic=)1^qU
zW)817FdFbRJMj{@nIC@tf#VX)_tw8HYo=ll672z}=A)%ozL~znq_8=VacW^f822GQ
z%|=j|faSgu<)J#FVbJ;B(%#=>{{Q+cwZ=Yl3{5_SUhZ3i@k9&>>WY)P<RAjk8QbKw
zzTD{u3g!Z@I*}39!K0s;n1+XbBt>^jqGx7Fw7%dTs@U1RM6eT0ef<@o4^hRNM(spq
z>o4*Sb*_zd5@Q&I4?a<{UTnDzPl`Mc;Y@V!6`l&IBgSS4BV-|n6fF&RE_DjyvdQS&
z6GMEMg@r}6cL?TF^6Pcr4Y`8V*$h1=CV2egg)@q*;%;gI#K*4ovai=|VRw&4HV?xj
zQI?gJ^-$PM;@QDVxACPk+%KfyG4v~tEtZHZ0)!4JMe3Qa7mVj$G^+3m<|L*9m&(}J
zqCwcrF!qT#CN&BMwi1-s<s_e--Q->V8$Z@}y+J{^vfC~<+sMc$3+eog43t1lrbkgg
zCV(kJlig(jamZgT`0AfNeR3O&xs!>p(EQ_UB#R#)f|9!i1_rXn>_onhMGwlA-PuhO
z?sShuBn`LPmQcIi+?p%hxZCCVCDPY--*%+gG%C;9YiTH9xG^aZGar`Z!n!(TK-M6y
z*W!IBz)bQ`eajIB(l85pZ7-!^^1_x9G_E2{!4YDn8tq0)aw>9}00m-}8+CM+R<fp!
z%AD4Bk1pB<(@|PRZ*OlC1w~z&ALGVkwnCJI{z99B(nG&KAPSncg!N5K?-0rcU2dxV
wJCd?6OMlOuD-e{W+y7#O@xN*q_pj4^k*?`g<J8H3TSbz)pm;w0+?C({2PJq-W&i*H

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_images/missing_value_barchart_example_0.png b/docs/0.10.3/html/_images/missing_value_barchart_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..33cb7afd224816d1d0c8e9ef2af37cc27d3bd277
GIT binary patch
literal 24758
zcmeHv2UL{lwq=>Sjh)msL93;xBozS>DD1XdED%tXAVDwyB1wso>GrB^L<<qgwu(qb
z5fG4MLb3u9Bq~WVl2gI#^JDkixp!vXd$Zn}wcgCV%f2X8_1FJ@-wFHdv(I;akE-Il
z*-K}$Sgd*6T|cX{STpd~X&GP4#E;`uC64$ZWBZG??LI4GTZco|Ml6*>wkOQ3Y|Tv%
z|6p%qZDVR>DIvB+OhV*`W45*@Y_^GuTm1C~F)M2m@w}j)3vrPzPwYBi!(s_MrT?Z_
zzP97ASca>)KmWM@R6u*R<4sLF{=}!U{MhW<zyH4M)`zpYV(X6It$U}XV#8J5w`ZSl
ze90o=+=taxA#N&s*ZhSRCs#{KZ&Ci?=kGFI)qa^V<?FrIelaxetQB<g{rTph?+<mp
z?>?nhrdQ@W>QazYEAi3pq`XWsC&W5QZ$55@wP#n<26_4mEB3<|9`tjM;nW}K=XW<*
zU(nAPYgtqAWBadPdeA@rE4-}TrnF%DGtN-mX}SKAeOz9A*+JPT-O<(4aR1uA`?a*1
zqY`VBc;+b`38uAau5oGUekD)k@z$2I7=w^3dQ3x^?`7@H?Q0yHja}6eS@g;6za~wM
zJ)`T~5#N@Ob!CNrf2nTFZ^iWH*vNakebpV#H7n|>*?i5?eeCJhRO{3h<s%^PwEx6X
zdJE^gl3Z=3Xa@cLKWPc+Dd}>LTpF!q;!Fw)@_Z$FGiM3jy?5_k(dr-L!otIqMh80L
zMp`36k7Qk0@2%u5VCu_k^7hlm&CGg7+G0#PtCGA0W^A~foV=~KDL>b_E7j+%rmkqJ
zQ@>J#rf}iqc*Yp^#8@Xi(H;}_R>DQY>-N8Xa{Tylbuk|=woP+Eep^g>&^+m?6Cp|8
z>|ssE9koh2540x_X=!M9+m-1{2X3>|35$07O)WejK`PETKc^&YAO7c+WYcUs&|cAk
ze}*WUeK(OvcGmAFV`E%BklYsS|5nRDf9!~NakxfAWZFpU0f%b4wu8<S{6XQZZytVf
z7s0#t#4O+p{g8bwksmFhC7XGnC~RM7a;2Nry~5|;v8J$C9!{bz@2qei!V}t!@yFkW
zclL^F-4i-As<0TJX3gHs+^@&fZ|TjfTN%^0)34WUobna@{D+ryeqXuc?A`qvjP6{P
z3U{`6{`=QhQ~bFYrO^4fzIDJ`DP-<4Df6(d2PZmCX01qEE@b6fAU{}j9lu|`HMTQ;
z4gbo;XuFVE%(Xu(n8rI$yg~lOg|}hOJ#Vjh2i-oXFr2OSaAJH^%W1C8_sl(LbBtA#
zYl8J!)@z!2%JuBBOy>_Qcj?ab7C5u$`J_3`cpasi$QC>}LtD&8SZ<!^dB$(|uuKB&
zG<gl5vIGl76RXtUn;zp<P2C+=X&QR8wM0n`&%6CdfQ@QVio?TFo$PPbwmh-Vox!ba
zS`u-%Nqkq3Zcf*GuT%W~3FqM9iDB3Dz9RPl_pw65mzO5YyV6F(4wyyt_6}59H96Og
za-9Y_TcUK{x_6XaS~73Kmord4ZOOL21&)1h_BxJsgqc<*xJs29*0-mP{wg!_vA8(C
z?VYk*=QYKh4R^f;cJuU3zUXd$(wkA`+@&(yW-xKpePT2l)-2o>T`4?mmK#SXpqn50
zU}xFLxm`u~RC+#KOl&N4AGZ;38+yOnUrMy2GO_TUzop;l`P<gjjx|ZgHTjuIow}kC
z$l4X>zfIDy{_^MN&GYvuDPhOQ3%Xqs(T@F4puaC}XjG&n{tRctq$t_$+}x#oe7#fe
zeI17zO{@p2rJLe{<-=<R!=v<j3e|OW{cHK1{z=14%8MOc$HyEU-=E3qeLBap`Rp>W
zY{%y60Db!khxH0OEZn+JACWLG4_<Vj_nnz|(>pVF|Iw~=Ngo5whU(;~l;=xK3S5K~
zhB6m#wr}TOe8RD+d2&fmfm5I5SvWE3J|XTtT3P$BEjp!iG%mWeYU*6r%bu^!3694{
zrVfm7dBV{{rpGxt^-EiL%4r6RCrS<6>&NP5`53*r`XH(O;d?BxL~*j6f1Y3e!2-En
z8^=#C&WfLV(*Dq9Gj3}0iMo};`Bs+Mf)iUg6TJ!!%@V;f8@ZcLeo#*8ek$Q}s(oy@
z*Sa-q^k{qe=svj45l?xkG6Q#40jH0DTv{r*A$_b-Jg!v7%;?=CQ<*xCX+7`EVnllj
zlf%DaoJi+)Y=fAmoO(e=V!F<tPHoz>-dC#|<$7Kf3AVq9)*oH&KDNM%9g{lnQ)g0h
zVQ$~JcxvDN@v-J!FSft=LzVHqP(_>aLk9V!x?KTjuCto*B*b40H`fMfM(G%3{x&@P
zHb&L5+eM8tY?wCQZ_tpKo+|0w>3D3UuVNE_v@3Xy*yGhHoyi8ghTw_iehxK`W)F_U
zJn1oU93NIJPO|Zl8|!|S)S2AY6C&=qKBfJkGN;$Ku%SJ!uwdv@eO!%GTVtR@O?HJz
zaB8^><Gs0!m%iV0yEDH2imVtSZ45%uX1=ASF%ucL|GM1z)p>-bgIvy~V{hNSz09%y
z_<BO6W1?DX?2e$mZ$V&+NJ3L_@OaE}+t*)mc_u+i{7r%!@7DBMBpKCWEj}EI-oK&o
z<DGPGc34<gftT8q14kzUWa3(*e?s;O4z;RHQ<j@JyUg;YO@WLM*Sa@f+5}NkdH72$
zmCv{E$h24rE^>#ReU~fVTp)XH%SgGRz_23ku0vN;T)tFFNlNGI9ctl~0<r^w{n4ZC
zCZ4Kc`*l8~i6)Mzl{nX5)>>3C`0>ta3A0jXF3)vf_@~nnT@SJZxV#y279AZM`ZO<E
zUt==;&#-y@W0uM3c}_yy=(Lf=2VxD!)jfR`+z%df=ht$J49Aptq6y_I5s|pOCu2Ru
z{n3@j?r{1$bzS=><oFH+0fUPx2CHo9TN4H=Oi~dUozfF3jQx}2_l2rjoaof>o(x_a
zae;#KLgQPxn~ieJhAV5Mby_z`n56AXOl|V3_OTw9I&kE2{CL;nCH>K6wP`z2M|I*y
z)Na60`wp#<Fy3v}&2N)1DF|4*Ld!NvcoN{`){c(~dYMHJYv5jA=-K3p+jM6N-L<H+
zzq~CWt<v5<SMhY+JZU+<s6@-+`}IzJA0OP_sT213x%a~pyi`ZH1v1UKzET~R$NFP@
z8t>mxjd9?&M#LOQlt1#)e_l`u@@QA;;K0O+viQt+l?UCePuT}-^5d}yPiutUFEWHH
zd;Ip!DqY;D{&J!cPtUo-ak%buQh&5XWrDs_|2q+GPhar@=~Fd}51tZv`*seG@rl!B
z{)aD$+TX8q8~gMomp>M<lt~V^Zt27y_l|Mv59RU_YlHm!t<oN4_RDrXQR6juYXxOX
z6kdvQsIDEiH>$QzcN-Ns$6fq3rj}zDEI8zoKE`RZc1%jo3jdkOf$L&Z2e!%iTO{c7
z8j{<_Q!?WXhMtzS2^4(FH3$kg5N9lw(DcW-@t{hpiS9pE=~`8b>sqDuS_f@ysY+75
zBG>bXjT|C(Q=(8#B0fI8KiVC3YSZYgRhr_iA;cia@3h1Aho{W$u678Oer#W?l9-R1
z=wN53Pw;=fB5$8n<<z#&aiHSl5(T%T<IV1AUJ`|4dcYZo_>~B6?%IcJ-1{RGa-}NU
zdF-T*w=X_~M>Z8Hi|2oQbEkKx-qU2L`+ZUaPucp_%5!(MVh$n}=4zIU2+J;*LfL)Y
z<0;cP!N`T{3+1IP!_3rVJD%hP%F6CIH=e%Rug}`8Kf-IVZgE)g(&7FXtDHr;=IK-K
z@%L0FbXaGv8EkA;P!O9KYZi6<a9+szooVRX6t{jLltXcm?F?%0(8$nAABhV%`ErV~
zei<-}OP8~caXLTkx~}E$4gq(U{l<BxBrM)N%AL8aPjzB^R>S=}1+V<fqEnxmbe2D`
zDNvY*ah%}KvhIj4GcLKm*H_Nbx~U+LP>?+0B6p;}&1c#Ixs9V8iM6wXO^h@)jDGiG
zkwwv6Zc9a+3Ge8K=jU7A9BFiKxAPRpUS_r5iAtHJ^|vpM2j)x1s3uxQd6}2iy;I{K
z$$i8(wC<g&xw5x1CRk|DF}mnTr24x@+=R;LqJ3jo*pDt?<WRe|(hBpqvlGGE_lsP!
z7JA@v8P*SO=?^M-#y*Xjt+4vVYGz+^U)ZF0M)rM?@y)5(8}X+9oXTO#eZA<u=@~*R
zneXWLlL*})Dalp$x|{H{c)QWt($afP&n8x?YiMY^H(jd6m~d-<Pi}{Vvpw&+S6+Dc
zmOU`qe5K(DvGe*C@ozWCsnj#Bygl{h6@B^MW+9s<c6JF{qF!mcrX)<(7r67DY9KOJ
zb3q^>OjG?9G8>N@ZN4VknqDl{QjXBHDULHy*=BocHFte>j?L(5;Y2^bhT4hfzPXZi
zTH|X35Aw?%9Lbuk`pBHIiCYIHB}2vr5>tDsyV8Q*y-PB!lxit|5D*^TdR@so=!(XV
z8X85s&IG!_q6n>+>zcPGrc8eF$KIy+oEZ1iLkaJW+mG}+EBIS(lU}i{WWSS$=GPtX
z)-1EwU$F#W{NcOf5g|a~xNN=B!ijH~z;NtuetzmfPT~9LzYxVk3*$0pW^1ME07Y5~
zOeL88A1~|b)Df+By3PZVExJRO$T<8NEytF63m6)G>W^`k4-K$ZN*$H8Z!f>ZR7TtD
zzwo$RlIlEYjtJ;2KxGu`#(7<j{{`AMzl#tiqiYebvCa15)q+4-6MQVUF7vd6%TTwH
z=S=!|f6rG}cRCGJm@FP15Aiveqb#0!9au^1+;Zz(XXh^ANtS9K@hy}!ExJ2%P|bI<
zk#FIb^szZ#dMLm7W5+oH&lM<hibK_cZCgv$Tc!4E?!2<xH&-l0#44R{Z;7JNWxO}I
z&~>odN6O-zNbxX=nWW#=GN^sZiLjbe^_Oj1ii{qV4OTnUy3{YLeKii)ktN_PvRd&<
z-o$v<M3aB*m~rm{=6n0UV)-2AezN+*uJnM=j&t)>f;p}a4Ksh!bNTclcR5Q)HK4q1
zeEq(AcMa0ra&1-VR<(Dr#{T9s*cpghkannbbvWqM60$o;P6maR+a1rYH+QmT2T=9y
zp%EC$5}!ruRXwoG>dD?rE`8o`@6<Z$JsZ3?$TK@Fa*g$Px!h=boLyzE^{6<#Bl6hP
zI-xCxp8l;0m*?_Sq$=3U%wvB%BSatYnD~md>_pZIhr7wi$u)edv|;1<3S-@Q!3qjo
z>zwtWTgr~nHD0d^np)*yg#`cz_>tbxo=|C7aqP}zGD)M6zLq7M4*xvfeNN#h{?6qU
zx-?11pvD%K+e9B1QDW&`$o3Ly{%}#e;KgDCy)M6J3l!wE4mujWi#IE~<V7ZuQS_z9
zyvGCY%p|NEUR_!uu@*p1>7H6}kgtTvJs<{(d>np@nn`zEW`#v!^#=J3%(btv$~~q`
zn|U<DW6Ecv^UK?@onHDkO1yu){126{8G@j8e^vkRlmijfkCZ%VS0bm^1eM8Wzf$si
zp#Ck()V^AFcdpY4Ar!56(QwTk$&{jRBgZD|mj8I1`2iRC&q*QwZ+v%f#$ehYA?4(l
zuUGHf@5H9{(f%8&{AW*v@l#@t>wcTu71q3OSpK)bum}aaScgYM6eH>?c`^~VAFtF6
zrcbyEI5u4CYbh2o7|zk!AkPqhCCV(loiXX-P5`z6>}(?+{Tm4um71qk(bwD$W<9>7
z3T7<NPg3~wtOW(|s?VR>vWulRQ@YxAU+0tF0^5#vlIf$>U7ueQ@n)6p0!d)0s=)7K
zXS+`fx`*l}S}qJ?2*n#jfoLBHKtS}}W_NsKuq$0paBS0G0Xr#`;btNPro?`|^YT(}
z;g~0zsT`nNQxAJoRZtDGtI=MJZg6O8B1`-Q3Rat*Y@tv+vF1F9!aS);^L;JX=;d2)
z^rk%iE`8)}OwU+vVJI*m2o|@8RfP&CKRjpB!y5ibziwyO9K1Or{705~MsJ})u))Mg
z8JBlaJZ<X=S$n-s1YAYWMz=p>vw6mu#RqQ=_cn(*bk!gbsaigMfA&SG9KWyFu5z%}
z-5n^xk1g}@)@jXM8;K6{Fj~oyGOT&x$mJottx;TISE619D5(%r8MN`xZ%oCr{e|Nf
z%<6!4E%zXvNl#3AsQ=BZ({lwmPdfWAOTD{qeVTSNW8&+7i>y-k!=_L^u`^R}+N}AJ
zeOvJ%R_qu5;Mo5z#_M0<@L#J&2K?{iNB^>x*r(Go0BQC+k@d5Voz&US0=1Va;n>q)
z#IgMN`i~0xN(-%wpXt?DYqPymPM~rdE(zs$1O6rLZ8ORD^Cq^%VC=)<-U8XK$hsDK
zt6^jD?Wu-srBM<`US4u(Q8vf{GVBHTDoe5N`}l^rfWr7E&-FgJC|vUWPNIo}P$~21
zK5MIS-c9qg;U>H^3@+w6YA6nv<GNL5C@`%7CQa%xesx4Ww@=K+1_fTz8%06=&fdHL
z83_>EJJR?aRwe)w6}H7HaW9vefiy^HsY!L7Ie+<0A{;?-Ci;vzGw#{*8aIiqLT~vI
z&&CEXHPs}&g1>$F?PkLaj{q<@;CQm<h(Easu5ir+zjh+f&(F`ctyDCz+Fn;IeXPg!
z<Lg67g%Uu}%k4_`Ce{5mrzggpFD#xuW^G&$;0r>g0nLk?SJzhergpiCyN>i_rw-Pn
zRMiU7!*ara#p~)d0SWc&D~x2iGo~?*LmvT85K)DN_uY8tr=~n#FLs6d1m6bF45GO7
zz#qMR?G+Nvok=Dm10DWB^3KMo{iVtl78Yw&{H_BxH{H;+%tr12XEMvAz5GE1fU@RC
zIr`FA5gk329^&2noPBEY-gi7X+b9eMxeioZ&uzp5txN~uNYF8|d&xkRP2rRAk+%L$
zg`QWdZ7MAi8(;5OkdF}Fi;dZmSY@3%JD9>TYiYzU)l<h#ddd%I2RSzRA_L-T_<z)<
zCb)lWrSKR(B0T&?a?{lv^RrQ}Ut=$kJYI4^fC1h&xEJSoP)|b|-@g1r#uQ&E3mv5p
z^_dF<0#GBY?rknCT;M+RtUakY$am|>!y$?)JloDH8Ey}HDEm)+L${#4|Kc1EFpWoP
zO;BiT0sklOJdnp9tPM7cPFkxb_vz=EbHBf8ofNS5&d$bt!6QUuDrngfeY2ACGw-fi
zFlS*P^%7Z}=wD`JfI@btKq~9OI)or$-M@1s2gJ!W`GNA)+}6W&j?IBob~Ip9b8r24
z+PY+~Vk7=;mLSuNJp(abOEy8)gmn<&7HqA*Wb99<jJ5R6FY?nHBI62_c##iYE=}qy
zQnu-PqbQzm5Bws2o#Qsz;Un%ooa+eQ)w)<kx)BeWXBLy1@YHzO=A*l=D2xv|4bnFl
ze0ZWP@mD_nvw(`f&$`KWZhxQ{4SKb&^=(9^U8PmJtAK0Y8<)Y9+I$pa$t714ZkwY;
zku=tm8wb~wZW)3pi8Y_68>~~%DG|*e`k2bOkeBIafb@N8C&mYtNSSMw>N`{~+*Y~r
z+;U!MkkbY=`TqSc(Pcx;!#OA5bWFf~>=WY=xT@C2QF68I`>y9SS|=6l5LqB$oVTki
zTHl}VIx&=`V2pAAeVL@z@CfUwlUbt0pDriOc#Hyz%RB$A&^<*@0hJZ;FK+f!i^d(y
z%ATwcw7=Z#o9b3N+F|1@Q2(v(7E|?V{afB2Wkov|)!hsK8N4R(;GmODER$RA1=znc
zl|g^e$MnXk=?uN76TQf8PPZa|w044!loyO&sM0(RrPWcdC)kRMk&YuRp*E-)O&VTZ
zTj<xbBN!0Ci%pF?^oaJoIlwH@9i6I$9$+J6+9Knu-~6&T1b}W%*B&u%C6KJ+tIQ1C
z`TZ`PHo?ji22sG7$7as-{$2*VXkR^W!R4FD+A3m^!;CtxQE$=AI71N!t-fG!m-ln}
zqvgTaKm7D^S?IlcYf+9`yj;Jy|K&2P5(|gclCZ;QOaozLVXKGGV3E+$x6|M;+;~Jx
znxDUAa#-e(D_cMO4o9p)@W|iv;hSog-h8{tO3M_B7ftkG4^PDN?w(w6wVwChuIWQB
z#KF<TmmFEdSvlxy5_F)mckYtSY(baqA5WW!J?Va0g(8>ByDVL^H3f*#I+y{he&N5k
z&aAt+>4^FU?;h_MmykDEA}$v?(J1s8m1_=iwxodE-2H4pp$XV~^M~1Msfk#FTcU>V
zaBuKL05F>n_g#X8f3A4?lf7>kclJ}hINPK6o{BQh{L!18mpS)T{H3_O*4EaAo79mY
zt_ep!UZtgX@|RRIkiXaP$lFjg7tZ!&+za<KBjd^n*(Ox|`QSd^emp{<k=^nxzRfzg
zxyHFG9~SJ5?`<Yp0-4M=vDQsCA}T>A*`X_lGEVSlRkL-&HN|^a_*_1pE?ehyeD9Q4
z07>-96npV)#<i}47A2dWot=lfL<r7x4FaLQO4t0sFKPWzR-%J8jOp7P+q+;&1qcgt
zVQpGMeC{PA*oU<R!|G^xL)6#LT7F`?#BK&s3i~Wt$f6K@4{czywtRZyV_c&$3;Sus
zAJ)2!HlAL<A@{K<;tEOD-=%GgwLZ2tkrfkHu#H&M&BtEf(zAQ3ku+H2Y*Y8^tkRBj
z@UQr42`rS{#8@wavFY1z4dP!^1Gj0Mu%>Gq^F`v{&7+WGid9bo3^xW#Is8m;{Hl7`
zb#_uuj<6RSA(cyQTTtQg7k~bVJ~$aD=Bz-q;)rMKp~T=iI-mlw4-Q{lR;p_iC<scJ
zUbO!B$2m<WJ?8r!kn_xmiZ9iH2ijP}5AVW#C^o35s3hBW_#v?FcVcpu_WDQVtf9S8
zI`K-0mf#H-YAMoIr(v?En$a`KJ8u6~qhV1UGQIeq%?+gxbTo2v`A_J}VmC+ZV!0rD
zE{jM1W(_x|u}9s&V2Ek<cMC53(gWp^<%x-UPlX_%pi`^xl={iG+4E)FuM!c&?P>D2
zYNFmO*m^H4Mn^)W7;>S$&82yCb>YAZ(=(7^?$x+z8MxYw_xPmWMc9(TQrqBx@7cBe
zk`)QR2Aj?6avMwmZ*F4K8W!3ljMDCcz%sgq<~GsRl|R(KyqsH>HV{u3V}X3%9&+Co
z9}IZtXEgr4`pPRfSrPb_0Ho(7(w2HN*3wFN+=zm)1Ey@0l$4Z#6T~57i`(%@(-2q4
zk)5+h<kgJDdavhxON3EIP6*zO1h|F^%;B?BFb;g&TCTvUx?dM={+4bfG7pyE(iWA-
zV<RJ*^=+C{CMLItUK#R)ZI&H$Mjs&d(6gnkdGM}4c1vkg<!oOjjcXc<ZeVpn!2uIv
zG9N51B-$M)#OD2(#Yk;N=(kv&{gRx?u(9a&R4R1&kIc%%DEGrF10@Q!uBKE>rsIc9
zoh9flhYp-EXr&mCfwRz^wnzi#t@W4HYB_m$wt^sxP91o++$L`mLa&=x+Rz8$?C9NO
zO4u`UZ=eXZo<noZtCQ`blbZYhkV2mpGai~-d^;M}zuHr7Gs;I*AVOeE{E<Mncen56
zHC{q$1y3A%TMyPkE6|%UZ9#*w!H9ZD7PJ0~!hX@8^7u8dZ-AnJBbzpnkS#?w-%Uq$
z@{Z<9mgRwN^QSZe6S6rYL=c1aZDz(9B&X2!N5!h2xi3u}Br!w0%rYGQvv$;J7tKJL
zA-n0#5sqm9qES;($yfJWvgOzwiQSAl2zxGC%mNwiPdGg3!v*0U^!uep9;=738B#tY
zi;%TLXH`44X9?soSmBT?+6WKtgNU@iK!>PB&(20g?p3TRD@sm`I8z+%?I}#Pfrrss
zY#4(7P4;kKs6rsR<O+b+QQd!)20m|7;d4mlln|dQ&_ig?hcW4W&v)u?)p*aP-`x5h
zziG#Y@gQvoTNp%_W?lFLM)|pCD_!ei6Qao6*-yuip6+_7=D_B>i8rR!_J6-?r`g@l
z&wp$4>BZt^def$?<z9&Ol8S<^wqP;6=C9Z$(tj#=1rt{<B6OdC7DOp*zY-5A5iLRY
zeBusvuF&1!t*)=1x+;rI!NXe>tC4-~y%o2T?kwXWrATys!upu&>{$mBpD!TyxM(%K
zy!{U>>#OiX?*clJy8FJPPvq2fI9A6U3^}Kr{iVm2lxY)En?d)stjB8}-kCF(vAx8i
z`o0rR)btjhOR%(0Zm^zFSLiknm)s!;NTlqNx}M|2P$oaD_s(s!wn;aQ(2PQQ<*_9N
zhc`a<Osn}$a>kfp64z^Oh)H44Ur1?T&_}PfH>)kDkVz~xIz5la^@3<cXkSa(z6XV@
z$QW78TZ$9~wja`9vr0=##fsbL4z?Gc`iszDp7K9QM@G;Dl(FVyZMp6`)jM|*P&EMI
zZd<a^a68px;C=~rdkZjy1nhqU>qc(l?!ax5#8?r4V{->PtK&f0m(0kFN_ZFkbl+qo
zy91*k$VpWG?_aMb+DM371B^3w#kMU(-}4YiEw26WIA5xAzx7di(qnIwfI{_JR^B)Y
zMZ^*r>!bQ#xxla5ND!3Vfovp<MC(k255Y$7@9oa`0bV){wEMED@IXM@`~Ey9NkE<_
zU335QejEP%LKh#NR+ojwfjn$0ee>bxzh7D|vsq1nZ_C-{1lvP$n<1pPX#-#I)rB7z
z&%C^b<z_9~x~T3fh5d6Y?6r}2V&y(P|CZ!6e#C5{JD#Uhw2^$`Rz=izQ@XQ-g6WCr
z@?&^Y4kaeG-TN5*6nlnRmsv#*`)HTwW|o-fP`p(w2W5a6RX@K@n`K<4@1T-m-?2ev
z^XGSMU<uflA5xy{1_1Q#aApkL+I#szdQo#Wwxb4xD5<A>a%s;f6hk7l5ps-+bxfm0
z1yyw2Prxx$Vr_Hi3;^;X#=inZ%sy&uFo`yDKOBGTlc#%tJHO4q5t*^4Go`BuVKa}g
z7#ku1$sXTAm$e|m@-lv%7WZtv>=(b$O~ihOn+QU=%jJQ|Ykq%Duz((ZvdysbD<(Lt
zUFW@+V|r(XF8Ui(id<W*Xbhra3G@Z1KjU_Fw-tpb*WiX`t0o=Z?YCt;O2gf}-2q!S
z$vgGk@BTSh@9#RXhDJc@&}VoDeeepitu=ic*;V>8y20FualQ?#r8#Z1Gxsjni%`o^
zzzV?U;@^M;t8?Zvc~ErE#pD@}IW|ps+2{ga1r>Z00yOl>UBLBvxqLrCPvx=3?Anyr
z2bnRjR3@O()=(2<DMP91L?YQ1az@){o;C<o4P5l48>J4NM9aMjWc{p1>qNtYpnh@0
z&e*+)p{`<Wy1RZiG-H8Gr*-{gmVE<;19>5Cv@@k_MtYj-=sk@H?+-F-=o+tAk%wXj
zzHp;|#x9S)|8DI#eJ-QtEi$4W4=I>vP=aMVB96gRLyZ#N%{bHRp7?U*&Q4Ukkjwmd
zz_tHv+;Ee>3Ct@WWv5@hbgdk4xzl`bH)H%RcZ2sfmzGJ3DU4PW5|9l6MlwZ$*=E;z
zo!*L6@4~<k4#i>C7LBkc-Pck?pA%t>!mtsA&u(6cbj?#?7F8<7udc2{e($gjHUjJL
z>i*t4H<B%1-};eqpXRH%UTam93WMam*xw4N?)DUrzcK2(CGmgbwI3{}a7I4fu>tP6
zrzghr)6s5=L#Od*wOyGCkKz#!c|LU-iPxdKv9q(I@YKl3ZOHcWVpGSD5F3<poh@%8
zw7^zvMx_$qK0XXpo3u5q15MP7;ar39hgBx@j2>#Y0Ub_Z!5TrxAT{N{?irTn**s~z
z5ATrf<b?uG{M4B~F%B{XtFVGZTsPX}s5&8_zZ@wWGEW`z380zcboYrT2)JAxSwC?x
z(GvTUzl!-HnngacG<Ts#u-?Uyxf!6W*-#KzrXbA8_rFYM)9s#}x9kQLK3r?y6_G(l
z>J=;ps#m_`&Mg9`PtRdjyI{pO+a!`kvsl4DBU2Jg1yMsaUMMOwW&K(dYA(&PwOmkX
zI~K^7%>7o(vQU07veFI3jPPb=Z%aZExf5%ggt-qPV3i!X$#ETF4|m&FDczK|I#_M*
zsx_Nze0vCzYdL!K>}-%1)gO;Q;Ty>2o}0fy^VM!;YBMHx08~F*B|*2d-BqV#pGRW(
z;fsuF3}rLW@937+n`pK^=qzv2geDMtL`>%>V4k&a;U?4d!G~pxa;_V3gy{1kC5U2R
zSpvXdtSi&AQ9-jK7?>nFv)_HJUXZpW6yyx(E7KcG6k4Co5zoWDd9f*CgK|pAYt|l`
z{ykku`|Hn1W|5z~v%OTUOD|aum&BsYfBRPTl~_tUud_OZt_H);Ln}3a>Q^cwv1l`w
znO_AO`{RJsGy&u%gqvVecsLJsI-+POf(IIL)WY^3?|Y{tx7O*Gk8f80shMO&&Xp?v
z;Xuy3>!LM?POV~7BYv(m-K)g{LAi<85V{t2RhB3mY`13D2>e^JOizMdjC+|5q`j8-
z8|p|QQdA+8s$6i-KIi^%9-8w?P_>lZoh)gw^W29B&<$asK{+j<!9g%4QPdyGdL$&q
zzHcEw2_5NaV}GlsfBTZE-yQ^-yW!y*h@>3=;kq_B<_oPpiZ-vU;~#^sA_uYr@k@w%
z_0CJLiq#YX5y078!tfRe6-;J8SyL8iqk;}QN*%SeYC!=&_q2RO(fHdjU|4$*62?JD
zkhvU}+g-HW(0_}gm$Uy&=*Vk$N*s#mCU32STppDP1f$P{lErzPjSuf*3EEM-fk>$k
zRE=iK-bJ5Knl#1*^UaASWkWt1=mYXJ{^>p@R2CtKJ_gau<^np$%~tCXq`?2{EP<Oq
zqFcB<D4{pjj@ArrkYiHn76O>C$&<VWgzvC!wxAzMmih91uP+J6Z{u2nd1_vqKJ?4y
zJ9=rhH+ae^WJ{(3UExr54TVlbQ9Tq%S8|AtV`mdOj&W%eCeo@+zZNY)qR;as8F(q8
z5vB*NvHbI&2t^>1`+)6lKzz=@L+QV9R0=8D994Vb*}Psz<HX9A5KjUca4mPOYQRls
z;zi1OwSM~F<VIp1pt4NDiWWhpF;?cz*HYySH$aEEiqgiM*6ZXGu|>pDz&PGo_~bS+
z`~(=krFQ1PM0R%l)`5z)6r&7{%HV}rr~O$BvIyRdwIZSQXL-bT7e3E9l-~X<jS(@J
z`U746zwiXaf8E)Q|Nrj1PMtLD6fWJ66HGAQpax0`r5XMZeXTLcSRLDgd5_mcQ7Ch~
z1t>_c{PGrh<laJ4n<C+73Tum>Fw5sdmcsZ+nq7gYzTg1bJ3a72W8j78K5hEo>vdD>
z)W=Y8M@<%>ua8cacmLey3!b8V2(ah)iHYm$_xYJJEb4__tjJin^XC$5cAjVkU38CO
zG=2|$UFxxW&h_;)N+Y2{sd@XGFFY2Of&)?Vr1xQrW(Jee{$aY}ukPWW!xwq`JbXSN
z<h?@UW&a=_A+{~S07@tjoJX(qL!YE4p~8e_Wg(W>3q)RDV!_Xk?(`H01Pd$P<2Tt^
zSN<?beqgHO#Cl>Vt&^%gGBT)R-09otmi`y>9{+Sl|DkD-e|`F2y>r;sKl{`_EsIYk
z4EKf=rar(Ps%^7xzZtEcV%!|)P(Z)K9873YJ%b7k>wuZ`enAQQ$Q7BjNWPKI76kz^
zMBKi-yv&D`GC(L=Qq{J_vsIb0@uKw%!_{(tM#CQ#r{DZ6n;UKvclVto=(3SSC`9_N
z;T{BLSq{P$3gkgyIZ^V8v2((#W$*in)e5VUY%ovKMg><PwS5z<Fujpu>~C=c!AMv<
zZRjw>%VPnkroERjtS;y2LJ#Flqyojf2$woIM%RWCUni#XJIs?BZ$Mikmb?xm^0Cq-
z^kBC*h)2|#wyQ+NHug=~qvLNkoSr#PiT4C0<`Ry}DVs}^p1ua2PUSBfa@Qk3$huw0
z;Cf0dP>ngADP+2=msjFFs6l+#)UC&T^96m&fg)a9p|A2#>iz2KOrm{#Ij&ATBGob6
zV3RLdjG7=XNM07Toq3-#s`;=?{=R#=P5Y8)E$Zs0XUu#8ux(dK(`>CHXQrGejXZGK
z%@cu8%2bNpb8K!ROS%rNl>3#IC?eI%5<x<9H-jHtD8;bgB6GA@Qn$c?+Es!!HfSAj
z>}^`ZrC$Bc^sFMw#X+C(@W)<ew-up%{D`Hmwm)Lo76{bOds!{^<aH58ml;mue2K54
zt6>r=o+rXTw4&=tuc|()FNrC<AAN^4HIIL*$>sSRbXt$el>TVv@!{sS1ZuG_<S>N5
zmb0wK-vtlnnebdrId@_HrA=R&DS^iMqcPpgli%7jJtJgm!_^(F2{9nJ*F=X!Mdf3v
z&xhRt_Jc^Rrtg`S#SId4y75Ph(Bf3%5gG%|&O2;IrXh!s4=xYbTON#u>7Sbp{pc5q
z^=<c3QAD$V=o{yvng~QYRD$LTF;jRI-8(t%Lr?(Cm6&5V6UwmMBv3ts8tD}=$DchR
z51&jeX9xmv0Z>MIzfLv<va6<6?V7d1c2AH?Pj&#51Qn=3iXmx$ig%4{$D@7Yqv;c}
zRN9i?D0xo$&50Rxo67-VZ8B#pZuo7E*!{kBw8^j6O%}fY4!343JL6v&hL-K0ay=p$
zOH;lrTDOIk+r#_Jm2QUFK3Ts(p0WP$XMe(q|7XB>X>!rD*Rg0fCwGuK>cnJE`okTS
z<~vcLNndz~R-x6PkyssLkUm?LO2-T#)R<N@ZhE|Q(00z`aE10{?KQoB6tSkKWS`m^
zZYip@N0uG8Ram#QnMvf(X9$lp%ccPxr$=K1gxsBCg%C(fVN}wpbZ{{gg!k|NGu8hE
zF7SV-+og%}=sqSgWn6eadpmCb|1z#3sWPJQFoq&ptF@R0Of^j*#EOs)-U!zd)1sz<
z-!9g4mSNc01%d}#zQ+4+t5+yAGt|(bza*G6pr9R&wr^QV3>cM09|OymrXXP!5l%J?
z(}@qCczF#R0km7j0W;CYVjlQL>z_THE!TuUYc%DiQwjRt?Z0=42WX+iB<Fg0X^9v5
z-cWVP$TVKxM|_x)=L}YC4)Y$DRi2!YV<hiE3GZ~REZC_vjKaBHEn(o{7BzQ2QZa#!
zGDk=)uEI!0B#-uPyH_>H1R`z;2xC_U<JriiImjeTrw@#Yc@uXEOH-d5O9k_F*GX67
z3ziI{CJ~rm7U@c#a7%5I1?!G%h7mmT^4O-O-?9w7X^`tRn`jv0!k|FJ=Z$xEUd}NA
z{b~zISmqJxy@3AtRG%eXj1rw@&9`JDoKuIJ!8b@5cdii1;T;8oBYXng0*(^);}#bt
z9M9&ayYbNjMzs>e_LVd%r5>=y3mV(m!UZ$RLpwj=P1X~r5V)i>h`Q>FO$h+Z-|iKO
zZUm#Rg;wO!3Rx*G&C@XL=ZhqDJ;p<0Ssq<@Y6adYEyOSbv|oZKu`mytu~2q7i)BY<
z;@9xF{)#fM3amcS4@>oA-N(n~F5R+@b_}GX>b91<#y7uWdC=6{t@HH2;%=WVqK`p>
z-yTTvVmcSqvPnwV3;%2a<grMABNFcgR(<$gS=tSV@sfY@n#PLM`ON9zA!PFXrNz$)
zx}E9-(+ghKsZ4ZCxEV?A256m45I*Efu3}|uC|pQuaR8kbYv98s=+}18pa`b(pU1#V
z8YcMZ6Fx|77u;E_e3XZ<HEA*tLWj^`gh2EIw4jO3%(-?v=)8j~zhGrtn4IJK=fdo>
zM^%vEYoT?`kEdrwUG1I9id`2x1xtP!!-w%zf^~Z*d!2fiv&rBkO~u-T^jN)whCv)i
z*JGy2&5eIhW3&6q$Divy6n6h(Zlud)SbzF>$Fm8|O2r_Udfv@VtGOghpur)ecGsdr
ztJ>LWU$A12_mB%sx`!$p2ZP0{=S5SC!WwcA<Iq6+<M*;ztX;I5oL@<~2#ApV+l)C6
zyJNi3g`x(u7aP#z6}kXzrHQ7+Yu!hRgRP%`t+@Z_LCn-#E1Wb)NT-%V?ncdjgp?i{
zZ=wl&vV6>~nDjJc`vR2F%0i&oW(ozsA`$JYSfs|`=HQsVAr>oQt`_4k#J5x7InYtr
zjQ&&s82M#-3IJN|AmPdJNRtS@G1+nE43_o_W)0U4qll*%1Np*{uutM#>a>xR0X9q;
zH_b7u0-M_T$8IyUw{^ypSzAVK0v(^Yb_C(;6JyRtF-@q-dxRn4H(4Z#U}*QhcMBjr
zAui1Y>=Y!?DLb1KRg-V%{R-jS4|*j5YEl8}w>3Z(8<nyumO~;cC>m&-ksv-q^k(-c
zrdSX<y2T~#VeI_^_g9Ea57F;vKw|(}(vHJzbnXOvLKIV0x^RoAv95{nn4wv$*O&Cj
zrn~}9JjIYS4O3C$4-Qv~LEZM)XY)yJi+@rpR&IQ#eo_U2tK>qHV9+I_9HJhb+#25W
zy&%FAX?I?;N!x?I(x}^e17U>`ogFdmdP#cdG@)ObZyod<%kV8FWaI~HXc^1Y?||C$
zZvHcIO^%HIGs>gi8z!AXl|<@0st7JS@wx<@+uzIub4%UV*GI8Kq#_%KmQtF;qjx;%
z;Ed?#gTH!BVZ~l$!WE7m_<<(YAjJ$~3%-P{>Ijg#tR;yL&JKuWXVb`c=IL1`ct~X*
zG5sQlCj4fyj;&WRn%F;wwf$RChmn-?A$ame@*Aoolsu=iGQJrKg__WhLM+9c%mr>g
zpab{FkO}w?aX7+SF4J`8BK`f&+>SZq$B3Q=uJI2~1LXcNc`F@{ib-DfRzpj}2{MGG
z%;T|1S(f(cvK2%4I;8ammXu&Bk&P6aL5@B2GtH!oeN<FXLW>=f{O61?3ao|>%MGV0
zC|dmvZDX+*+cd}FBberQ^Crp};a>B9TqxqZfPr#MksyiTqQ)2dyt@|Gz?b<v!SYwg
zP&e5XC`f1m<e%1RG9gml#9<AKnQjT}WicPiz0O^E8s#0d7}?oqH;6GyG=6U;B@<LS
zT%KihvIgmZm#$*$iF&2H28^mjcH?2UFbRM=IpMO#NAJUz87!74v6tJuNK(wy*dzud
zRZk6Ce3LuFjL53=fcO{T;)DqYl2TJGJAm{=413G#Kc1<3PN1dz<hJ5;)(^~<m0+3}
zIU%_#x3OnctvLGq`4_&Q1F7ZYh^n@u>sT$1U%8pJJ-7bfGGOd1{>R|)x^F4Ak!*<>
zc-*<n;yRLQ2!dT^Olg#^mXkT6;n{S@DX?iO^5@GmT!mtD4w9X>z$`SI>A;6$Jj~z`
zX;}!7dl8L2)9@tv`GKUSL<3)8<c;TM2==K@yFg*=1e_R^equW`5#9nT;H~N#MniRA
zu658_6gpsxh@@#Gr=%VPwU0<#icg{U*;<ODMUKeezh1n#*&SozG>T1nLl2FMlW`kI
zv0TAoQJb*>yvkC&6!esiqHj+Tgd~(kIM5(}3!2r;+V((mxt2?<k~N(%QBnF0qjXwO
z?MP`N1U!MtVo68O6wYF0oSU>b?2-!49P>VQG008PmKY7KxVVCvr0i@+^0nGeuvjHb
zQ074@#OC6*tIZ(%3#)YF_m{QF+e4ouYz`gHqBV?7F+H23NF{bL7`GOM)<T6xc<;fH
zMQ#HIkec})`iaG&p<a)*c+fx|Nx^g*`q3YkMVJAfVnxFc$z=wPjoty1oqLi<_}lEq
ziVy(`Ys5-p%aZs5m5UwuG@8m=aJm-y!=Tkywyq*?PC)BCIbsH4RfBQxVwRzX#s)N0
zlom{Z_u&u)8EO!#<G>#Dc#nFiNQG58AnY^&_8s6&xa_QZnr<J2uuXDKe|JNC?{$1{
z#_Ugwf*A9hq~0gdKF#uyq<!f9IW4Cxc;BC$mnI1q5@;Z%SoWj&hT}aCKp7NT2TVu*
zY!XJ2+KqHHzE>z?(oh=lRl>(G@yRJL`MZdpLvlyzEYsOer`rUP!(GrIFQBOlI%320
z$|htg$H`13RdwPSq+2vBQ9(L9^bkc)>Z4^!Ih_VtDQ-{@gbrV__Yrcs7_%9Uh&H{T
z(PXd-;!nDNB9o@|AO1LREyyt)%GQGXkBa1Bng*`@V*u<q!8qGww(5Lfn3Gh@1-~MO
zW1p(b8X!$e@(bua^uS)w;A|T7x=p0Y!@XeYjynCM%kmaj0+*qH)O}tBN)u#C^Kn3v
zko_A%&?~1=T&VC+5qMGWa=6nW-CsRyf6HDxu?*RJ?k~6=vUniDN_Z!3-wY?~kQ#up
zthc}dT)vU^W9T_rwxmok!N86k00@nr2x6Ys5#d}|ZYAdBl#%S~zQyq}i%Id>gh2}x
zIO#(I3aEs#QE3FA8o=a_G`aBjKw`Rv6WJw?u}e(A{I%vZ2?4l_(@!|Q$a&2)nc(Tx
zcZY~TR11X!guPU^tw$F$tgjrq@Erp|y+|aI1db58N@8?K?k>}E*K3ikG?E1)-Ndj9
zR+d!wv;|5iFg9$I#JwvrKn16UbQ|*m?cc3;N7#zPNhEJm?BUbHFQwD2F_H#aO7L`&
zSvT>ma&!_HgDi4rbVLpl0P{%dfB=ruP+Ca<Nbqu>zJB#?2+Hax82cT?Y!b?`iOqu2
zsI>^-pjTc#`{rx}@IR;UC{JZr?}MBG#ZhyAnE}L@Dx^we5<u`C{EOfXBLjK;$Bt4o
zb^1E1Wnp<wSGAF<f~F~lUx>Ty{exhb%H)|R!ZE=7q%O!NJwS--!#s-dRMTPSN$&9w
zF+sZUDxPfXBvK{0FV!&^$$>>RzFO^>huo&#HA1a&IxL6R07k+hn(-hee$sIjO#~7B
zr7WyTbpqJ(YJF%xQQamm%qL)sB)~EDLmp)uCkaYo2)KHX_a%e*?Iz3Y@<<fTzUaz<
zc?w@)OhazC!Hdgz5+3t_r1NYVuhM$88^w$&vul)2+1WZ~QPAMS;CO7*N5Y2*fox}9
zr`|pzt-Iqn3^i~d`v8i|zrO%gWbABcHi|wTv3&CBCGrKe%7l-LAeiiAu0hF;0t3$e
zKsoJjBiRjZkOb`pkBu^I=mH$YV}c5&*KDCcTXl$0y}_<C940g(DbMWyk#osNmSa8!
zC=8}$LE3*QCWu6<ClMX-1=Mh=%n%XkNL01r*cVdz2O)alo(Po@E;@+dj(fqMNT>-(
ze>TZfB9i1#4j%fMP6(JQAh#8{Aj~<6^yr)st$eVt2vNhzC=sjMB|s45P!_v!ahAZT
zA0S?K{-0EZ%<%|NDGAF{xyi*+u+YL_DuKV_b0V2T%x*Pe`YPPPfN8heNvKYPvXyQ}
zdxPMzd92u;Z|Lvg@1G&s<1&7){w(|c<V2Xpp@>FTO==tQH9Z&_k*?o@U7ka37Q3HL
z6szAgDR7*;`iU8^5oJ4wiI~|!zgJY@QtR>m^iT_2?jQR6kG4Z5LSG8y6cmBXM6>Xw
zze7#59)G$mE$81Y3-t%JFA(T^{;gUb4W!ZGEmU)&Khcv^=qd&(-juA@$ukwE)N@AM
zWhJzNyHL;L5H>R->~}6HL2z=3q~kq^_ekH4$;5flvPg$*L2I9|=L`liszoeoGkG>m
z_Rxuax|T^sZir!YHq^!C4uF=;9@FOE*G<HWjb-WMc1?xB23;b{EFSGeJiH>?`Iybj
zAyQPOU(zTRO(rn2RygTv=Y+tGqtL_IDU_iy^?Ud3ogUOyjHr;*Js6D63+42OjbSnY
zQ<65V@@kkBq%^_^wNNh>gU>?wx0c2pfVqRa@PZ>i(6WHWdUsWv`K69D9TS4lmjgKc
z<l&p0%NjAfphP^-FISvtR%+~17L8a_8Yi(VWn`M+yW=*Ch9yZBhbc5+Fq&#8j~+r_
z-WaODHzh&W&cJD`byq<yDQ^LO>DjBeLPNEvu1w9X$LqzFKv@UNVFWmf?#BqU>0^}g
zKc$`nADCzfn0T>65Q<b8t|N4l^Ty|rQlzyYjxESv;s%YWk8()SHzs`a&h>-fnMoj|
z#`3M);%b6h(#PA<bI@l|c8Nh=j}5phcdEOthtA&X1gQU}a4(`%+WWK1mX0MYB|Th8
zAP$xZT95ICn*M@HkiI>U2jXswq(pQ@K)%_C4GpO|z!_<_1uF0c8TaIQuPuCK47i9C
z+{5JANiZ&Dy+mB~MlH@IajLZftJp|to=o2qhpvMHh!tM$>A-Q!0Y1umkYNDJdMOIy
zxHXG}12lt0B|IHI2knqAjdx(stK}O{LAg^WEKy^!vq|AYQhB037-=SE@etDJgrWfe
zbp+65`2#j@P0C{rQL%Xy+FMBs{TOVvta?mxKpHglVq@Ocke0BSWNuxUGbHwd(IbN|
zYz953YY&jaX81zX4!1K0!2^X_V=jsYRI`zXcqF4kh|5NO<qtB2X4vSo10oXC#%uy@
zi@4M*BsK+%l`uULu%utLeWfTDN9~nkj3Hh7!vpNm0UY~61E~$3?qf%YC#72e+RH^^
z^+pk7M5q_q&0gHT<kl=`F>PpW3w3xB#E`w1JTt)&O)~YDB#1!-3lebZ!+BI3iX@<<
zc{BpU#HV0-Uyd*uuK{I6ZX)WBHECHG`*;Xet^uRVYA}i`nElklTp#I|Hy<y#&-fIw
zn>S@|II(tn_zr;M4f;P!Vd>mP>-2u-g)r#h9*qGeiJa62IB>)<P#2%rBT<#ENI@d;
zY0mdgEI;XE;O1EEN7}>({Cw9LhP)mKozu$SI%5eMu}kp*cR>p`TjQ9}ToasJb-0-*
zt?Gqt!6PN1H--+*85CMS2nQR(E{i5Kskx8rtM<bId$%%!qd0=8Q#W#lv4Hi5&FHMv
z9y)hHRsA3c#vJr^waxQU5$2%N88he#;g@y|H0?RuoGieyZ^}f*Y?Rb%K<?!rPwJZI
z6OWKANdgX<&$e}>C>ACA;rG?}1Omyy4~_-UEnD-f;p#b51AUN#MC`aD>{D21y&!UI
z|F}78`-8{eAM1_~%Y=R*NMOiL2vI{6T>VX10?;JRxyf7=qmO*a<<XoifGQVt)?(RC
zn)kqWc(Ku;)+JiJad@>z9Ll%`nr4K`Y*h@jX3R)8kBA=v6}?nWozGf;)XVL`uy+%U
z>UQ%94APOM7gOEHd=d53cyO|Cu0pQj3Xrcd;3OA0r=r}G0ms5)gWa$v9pH;n8cd{N
zxzy%P<dHO-sj-$zXMQ60&omiE13nmb<ouva4a{e92Z2RQ@9YM-vPgH37|QH(T5GQW
zAzX9C;aB0KU7gJe6OJS$eZGWB9hyMr@-Um|_@K~!I_m-@_@SFL5k=zWo<sNBFh_aE
zGb%c|0OhO~8^Fr|vG+jNJLHM5&YO^(Z*i?_G(<=upzHJ43hY!wB?q-b>*d3O`qCi9
zoNCQb4CPaHSknpSs{-Ji$HvJ$IqJ;^{b(AnzjO2$+bqvHALI4kuHF3#hsJq@2D@#e
zkp}(yx{qTxlr*TVu%@#TVGYMNHnX$of}|c$)*F0N+m+S4f+j6&`A-+8y{;?7X@$;g
zE)lTQe0aQwweBn?Lr_zOIJQ5?YE1y788q590F_Xf^TT$?H;d}td3L%Z&G@vq-bjRI
z_DPK^zV$$p-DLLz(>}#@B6D^e-O+q3@@!4poy@qjK_`ISo|Ia?m;-cK>IxE8cvnkx
z%HTJHz{ke@obxin-426rYw6)ZSp>i24m9v$GG!Ewqwc?aa1JZ-2_S=qCut9=2Od7Z
z&L$qS+8+39nI1w`o7ktvO4>!Dp>uFn?Q!3-w<RT8T2eVqL1zozXa^syIrQvo;~ayb
zpY&hr`(aI_Os{wr6qPtaC0%;+>&3<8!Sh(!Nz^V8-nB!^<;_Ey8KKc78uv$3Ym}`W
zR^>n|Z;UEFd#PFE-od0RG^$TgoPD6xgcZF@aNcj!csd=dKeQLnM0@Y*DJ)SU3A;Ce
z;f|<;NFhhv>Hz<~XN~3vNCc_J19uV)N(YCX`wyIw)CLGR-6q%Yhw0h*EBvtN(p+oE
z-%I6V8|yc?Ha7i4-G^!#_YiHL!n)WEhS|fD3h%ar37D^F@dId)qf;*TB2HPJ=s;Zs
zy#k=KkyG%Q1(#1DzAe=o#Q2X`vE%S-GMk2H8+8rFlo#>aQ<Zdv>aMew$UE825JI3_
z1<Y1=1Tj4&IdqT^^d!S*fv2G2oK5YWRzg&C<W%)0Oo-^+TOy6qz1V^?(?$dgH{oan
zIvy+6_8@0Js311ZX<X2nnq!UBFkCM<Q66yQtr-Sx!{!uX;IK>BNp>^qbq{eBf^=dr
zjl@IZkEsx9zM<9N^B7n`3R8av8{(n#mE>+lX9)^h1L{pIlI=v(tAL15b~gMaA#cI5
z1K%%cE({LFu+FIme44mCFBDW>cY6K(T2kILJbUGU8Gg}(bV`Cjr#>8ZAMi$d&4*@;
zxI9w#(2(Ql#B=FTPuNXa%38<4iWq)L%n4CKT+Z0s$J7!g2?nJ=BHf`E&n1)u;}=5m
z7+#e{)te0BFpo_q12A<y0EEp;Pr+c4u*+bkh)$STJKVjf7@5J)w^<g4PQ(F`tfjLu
z16<m4Yja4lbF%(rBlevc<AC&Dp3GfnSTgb<4v&1rv?i<p_?j_4?>0VM=w8ZqqjM4{
zFH$e_j1b?G%0)Ulfybs>wucMqA&k?83jmN%ruEUY=2GECxX?%6{=gZbnJmAH=ddRt
zKVsa?8ga=8X9FzRW_yeTPsn&nE_23l*0eIsT_BgpA?Gu}S(heWn@Q3P?R;!rFMq<m
z^TwJY`AhXfT^qM?GQOBSbJo1I5x<C}d945K*v5J5E^%XrRvj%We{Q+w`Ij><8lJfD
z!mv-Je0rsfiuS-1`vvV!<Ac>w1s`|Hx+M)s`{(QF>D?`EY2fqaPiOvcI<v0V>CT&1
zEiI-sH8nkbeSO7U6P2Q3VomMsBB=+(1qB6L21oJ7peimU#sBo_(}F=?56P<R-rX=h
z&T)2jUNZljqod<+)$FkwzP`S-TUW5Ug(@hvUukJ+(K9e;e*b=DwWV}!ZmzGNpHf^!
zUQv;{l(e*sn_EzQeSJ(&U_e0LiLH4Z9To|RiN%(Q#pY5Hva<gD{rv#}0S*2Ak`WOR
z>2kF%U+xSF4leGn$6F*goS-vj&a}6;H+=fENl{U8qQ0%7wzlxtmYmX3&8B7~9;?ve
z?6+?<#Kgsmk8K(6yJ>JNUMDFjDf`$KrI@nZoE#;cD9x8IUv8F`_Q5Rbash#+&d!42
ztE}$D!_5Xl)2E@f+I~O^RV3p0pQ_N$rPu#&|BRhrIY0k#<=+$r1hE<{?k}o8NB?B_
G+kXRhHtTNy

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_images/missing_value_matrix_example_0.png b/docs/0.10.3/html/_images/missing_value_matrix_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..21799cddfe73821d7ed15fe29b805df8f2e1879a
GIT binary patch
literal 37730
zcmeFa2UwM7w=KFr(OA$VipGk@r9@Criip(2SQe<D^lk$b1e7WrHEI(3LO?)@QAE0c
zbSYM(E=7uTl_nsdAib<R=4bxB|8viN?mqkM^W3}7z4w32kHWXU@_z3-=NMy-`SOR>
zo*lw77tds|Si+p0zwTqPgz(oX`QJ>#7wh^8H+)fW+GgOSZExx1dceVgwflh6@niN*
z$BrIc;bP(7c+}obMp9N%X5ES-PEN-iw@69Z{>uT9_6}B3C1JnvaFQ9vcN#jfSj!*N
ze*$(domE&YE|2r;&pIb>er#}iSgD(%I$3SGx#XKafBL3uO7LAX!S&PgPkp~bwqVzZ
zo!!<)t3&)vMJ6nw6<SgY1y&cw-u<gp$4F58*6#{eH=mmF*NxLtUU=^3Pkt)q_$?}{
z8S^};B6_9&<T{n`0mH5w-L%nz@jP+=;#LRT3(NNx>wO)9%-=>=v8K{@1n05n8)~O!
zumtcmB7dqczOc0R3##D@>!%F@E9mR|8?0~X>&#uOZ|JMgn*UNCmy2~0h+EWF66ANH
z`T1&2m8olktWBG!GVXMLsg|*Eh-;IVJSVxqr7qH<I6!zy-u!dZHrmx^eCcV(F1Mfu
z(y6$y@lbiJe&V#y*9-R3cYfL+!8-bFS3<U(sYl6;jUDBY8bYx&Mn^Vl-`y2mw`ipB
z;+<RH;FxgFcJn|<)AD%Z^qG27aD>((|IG^@{o^zOEAXxV^avWHs4t}R=;S$M-VBnl
zvK;-=fiHU&tTWK+;6^->wXKz1Z=AMkY_R+F-Q6MA)g#pdAN(@a7az&rx85XUgWsCn
zMIUQYBur=O{Az1!+g27DGFNqcL%dOH(YYmdH`eT4%zJJmumZ>5|FzX&MCP4&w2nGX
zC1D^U8z(et!5tGxF^(lKER^H7#^Uy+P1dp!0z$qxJpcRBn+hqC<2JPqj#iobOgyly
zOWPaoeOfp5_`AoRUtaBS8|zL_+5hNtNtm*tj8)mLx-?q}(^`km*&_I~!CxJ(qpDM@
z>4Wx7X2S)Gqi}(vO}Solt}GiF%aVKhw@EzjHNe69|Dbo=(rlY|$s%=LMPQn3U6t*a
z?XKRZ^O<R^@!-RQCOo~-NWtPnoW{8~@7OM}17o4H@L`&?aaVD*_5fqM!XT@#AQi9C
z!~Lc5JR_TU|KQ+Yr=EHRud%_>)qy75qp$DAmn&^OKWBHej!{DRt*z%1!sbrLNz^Kj
z&pdwi;v$(fJC?h(9PG^*>&afE;Ba{R<)uO4lV74n8hX70rF=$;g-uq{MYpYB#YJG6
zMVaS$chsa<Wx4i-Nt$LIe)srnkdm8&UEajt>?NDlX-DlT6_~#C>c&IQ4`aB@BS$93
z+f}1%suMIGHeq7vE*8bfd^=a+5xgfxEz0k3G#>iAIdHx;A-kt2|I`#2`^JYieI`d1
zZ94Wwyfm{lz}T|+lDt{uM!Jb3CJ(3F|7Ahw4=J+KmpN&r)mq203s+rH+Sjz2X0(=?
zV7_>Df@wCp@TP*JxXBFqUekhQZ6k%tJXdYMcuz6Eze#wp><8`Xo{c{IiQ=1w_BQ=|
zW?KC7qS)7OADz(__b*SkZ_2W{FlJ-ol*ZCeT4?UMQB!roiF;?qmF52HDXIpvcB&Na
z=+(*kbF?ze(V_2!x_;8H?V+w_gEdy+>VZG|f5*}bGEA{-EtPL7X>e@{)sW0&r>3TI
zxH4s%5BV3U^kg*my}ux3*;x@y(_>SUXaC34YO|3x`Me<EO>g%57vTNu7an@0Sa>mA
z-1OPv?mxuBUWoFC3zi<w7x0%nEB+%ZP7trO^hCk3^rvG@{K+B5ioHAH`;_PzZ8SqR
zt;c*XZoZ-#RxFvlPIat?=g?OumiXn3pO~gu=fqm=yK!IM;8F6EojWVm(kpXo4-K3c
zYVt`kK4&O1gBAN`j^f9wHVK()a@+@uB2R2;aC*Je^V6e|_Y3oGU=oON%-mZ2>v8?e
ziNQLog_}1Wiq@|6S6Aq`<ELkRd0TVBjOXF6#Fm9D^yDbY`VO_bmTgjvZH%8++%?O5
zXQOv^xvtvAxIAxZmt&E!2F|$)_YZu|(OOofAXek_`f#W-*DB1=y(zw3Oiox^?^#Jm
zxKiH5yg9K4%kS{zc@KRi2EsPHGauql^gi<Forv}N^2(~!N>x#UUX^5?r@>%t*VV|f
zfkuzwNe`pl!Sb4EHFwK(W%pou9Dn)q^wwGC!@qD34}Po(+I-@mH-D_Dy-cyU<l2tq
zLE#f0t!nJ^CiJX7o|-bf?aiSp6T3Q_5KotS55LQ75A$&N^k}-(<oL))nQN}!lsTJM
zbS36Ziu>ICvFpuvsMFCy9L2cgAb-jI11HD2TT106Oog;|drGnR2}wRuC7~hf46d#-
z8U8%CaC~Gye(<zVc&OEh>IEY$O@3SFD9Fh-o-}Oq=nWrfmEslKWee}}Tce@EcYgOc
z(kCD)+*|g^Inz*lWxu|g6B-;G&{6B`_c5z0SK<BduU{uMXI=2>DHPk$a$S3LHOG6R
z>mAmq{c_JwLyI<j?A&$Z(=kil<WF7k=?6x?C~PQLJ~k1TT2-qd`JTUM<NJj15uSYO
zvxTBO#omX00qcz|DWFV_^@iK~jMa6#NotlZFz{0l%9!c&;pNIYyKLJuWT7vel@dFa
zp7`~g@REQf_768EKI~JUqx30%_OdNbk<ZO+;!^{%T3ittiZOH{EzLu7=PZ&w9NFfE
zB^@w|ka)v?F=Yb-6@>h<qyleMPG6A(ul3P%d(-F>3nWc$Xh<roZyJ7Xm&u=OvM9P<
zjqp&9SbW~CBQnZyVqjt0+cW7eFw-+k4uyL3R67pVoVWV;=6v6y>Dn@`JvVm+f7$0f
zRu|ru(d<%G5v^hNqoUX77?#>liEEzX286e6x)*8Jo_f#Wcjw)(Ok_@edi&+Wt5sK&
z2j8fBRmq)Y-T%{TqRX6j>-_TIv$GbqJ$SvR*dyGeI(u=bQ#r?Z<+~TxB+{298mHT7
zOdz`!cdlDRk8}|)bahukogBxZJGI^Fkyzkd$*6Gt_*iClnmL=3<<h`b9e$K3<MiRi
z_-OSLtl%b2ie+j4s~w_kicK|AQaKO4C_l}c98jQVkF;+(<50NzNnc%)3Qf{ndhZ;r
zeB+I)5(&d)2g5_<?d|p`J11UTHl`K4$u@XmaLnB<cce{e@XaB&mTNm4-kn`&8R}eB
zNbgr*%Cwe&YIE~<ysW$5vh*^i%vIXJk#=k=8Sl{ai3wELf}wM+G8E(VSspSAoP)=?
zR6jX3w`iW`_5K3YTs_x#D_*YK`#&7QPX6_<q}}+zk)Y<wV+Xi&(vt8=r`Iz}RS!JQ
zsCRm8!Qqx}s@s$|*3jhm>5*8wV|bT;nDQ8&FjFbebg)47XgRyTomYIt=i!%>sbOA&
z_INoy*O7tBzI4fNP<9{R;ZkD}ZsI-CP~+A<$>Cx^1|RY#v%}p6v$`Z-%#s>c?yhxy
zAuO*HCOYxq`O*_lzpFVK6`Bmd)AliiSLUaw5`;X}g6PIWfSw52IBo9on+}=d(P#Ef
z7hZfFD5ToV!}jcCt*j-&LwZjZzgE*coRj8v3XdJ}!<;Q2p2p=(p5v&@d1Y;56F62=
zXV2GNFqyY-)+CQ_66n&s#q%yNF!zi9$2|UL4!1pQi66qm!9SX9bDVigUF)sRWbTW;
ze*5xhBD?UkP^#Nt&8zS%Rhz0E&avNWDzx&8tBi+CJ`OLjeXzGoq5USi&^EmxAV_9b
zU-IY5T`YrEmCPR#fkXzR3$lB2L!z~#)?n^*8%Y6;1N7f^>knS)GtOso)@X*^@aS2T
zRnJrT{M4Mw4zU}}JeJ+PN8_XX@wf7wwTGUMTl_JRJKlObAmhUazgvwV_PKr09zOiB
z7qp-_T;;*x&V4qGUPBFj^h$Ubxy*`O8*zdC{@LAWb)B_!w&|uhB_~Sds_&Rgo?LVy
zT*a%?f+k1AJ3RY|n*C>X`?0Id`L|2LRqca#B_Z<iers}WvNeSH+{3Z)F1s+j{n+!w
zCJ+5Fv8gem;QQWGdw$|;AFI;f&(R({Rn@eF9G;3P(Cb>ok6P-{UuwcJ7HJ8+b@oyt
zYS-j~SoeQ9H)mO}f@9mdRGx^w$u(dWDNb_Xnvlck4K8C96W^`cUNP}R<;cqjo)W*-
zCb2a-D$J;J=}^6+rewz3(`-(xUc3X+R(yUGjb6-N+>yikKib!D?(T9^_8ES1)j~xE
z0m8Za@-juKL*s3RHu27rO^zBW4<1+)S7|(~zEhZYF#7B)RWE}=kKUY=ijly>RdI$A
z117HsyW7M(Iy1e!M21(g^88XR(7RlSZJJ?inr+A;8Oy`<87DG3?uJNPSKMQBcJJPu
zkl7Xtxa)Mb?PPaqb$OzBp6BNa<|Pz#yVILgLKS_+mkj&sn-$_;VRiO-Id%h0k%4Bx
z1QG_kwP@gf9IR>oP=EZ%6`7;u8kz6T&2r2aD2Tdy_nCvTaYu@v%A#*3dt7}qU*9c#
z{m?DBQcuGt0dZ=;#ITtSI5*VjAw`ovA!o35^<YO;ym3O_<S2m=31!}gSGQ%{zkFET
zXy1_KoRIPU&znx=<(fT&vld?gHf>wdv{|bCW`F9#{<4tF=F8^oFIH)qALI{qD^{g8
zA&F@$%T7z%B<j7no3ETcxNj`s;<ngXes{K>cTQ<^ZzzB0*7rw4ZXC<lSE7aIGwCRq
z{V|!r7{H6+169USrNMF<*)HA5HI^Z*SGUe76qc{QN_Y(8KBQjyD#eO7-s75Aj8_~S
z>QcLQiCxA4qjWpu#o)N~M)#USSClE{wN>hyi%jCK)dU85eSY0kb2x-uXz%T~7YID(
zX|9~y`s8=#jM<#Y&sPcpxAa_)Qt_{?9igaYJP}>5XWVU2?cEl%H`Z%h?vjYF2*%LZ
zA~rs)$Y-M3C;rP1z}fM2x!Ie$Yg3D>a|csByKT&kI}|WTzRzQU+!aPz`uit(MT3vN
zZY;A+pEwvj;W1DvLF+=_%uSM~EWajv%%u0(;Mfz<gjk!Qo}9ky1%Y>5dvnT@ExJmA
zWF*oXNAqetdY^E0T#OwKSqiPdxz$c}Cl#!$Ie4Mlj}6T5dEc1#Kx|W-;?3sAvowo#
zi0<a^3NKjhvBGD(x#0Yto;{8^{h7Q0qf!wuij@b>hX$|_hw@tciu3%C(j=4ks{9e2
ziED$i#>2e3U#awbgJ_+iLb330_Q=~a(Hh;^BW-o9Hs*>loW8zdUQ3rb|4O}Ed+H)p
z?_*(}4u`!5Q}}>HDdr$@SKCT$`p$@&nA$ssd-e&{xYUJm+3EET7MC}_SM9rCKK|qF
z?U#yPYpRC6dvd<LU6t>KC>wDs<K4NDfkYou`&3z%G!_xi`6l5i(=EH=^RBjsi)NSP
zMuocU1$7HT2)3Yj2T+{SKJ9^Rww`yNUy~JL%)Rs0s(RY5f5h{gQQ(jNyhz2<z|6fP
z=%!2UQH_s)+hgvrkx5^lFiv2P%E;-PC!YIS4BCK*<PPPS-|^wEl0NpP(rvV3M_;1{
ze^-Co`s7E`LM#JKr?tFT#oJkMxvR>f)VB6P@#?_(YXr)M8iqnHit=|hx_8ABHSDfS
z=UIl>1~le)ST%VK?dDHTbmfFSS7#K5mpg@*E6JXjKG!rM7ZYAH?Bv11^M6ccFLSM5
zuh^4OH?z7T#j2?_%nD@l{*#1`N}K9qc@r}Ow@&rNc;s74=WT0O57g?d`i-~q^Eae*
z_*T9jY1popHFf{Sn}V}((0>(C!$yzMXnYTD_Idwq<i3k_Wbr+H8@aCQ{hP8=8=vQm
z_1wyQd%78jY5PdCsJRALX{6=%n-1!E>_XrS)k=Pg-&k9(k7$s+XY)e@pSSEna5RVB
zoV>!^vE?C;&YZ6@j+b37sD?-0pE`^SG$wjQK?dPJ{|`zQ6uNN|mgh14#B>Y%=hbP%
z3-juKI<NKFVBTowcj1|vPJVhhd%2R+z``B3Etoa<pH@QtJt^w%y8=(DjMI+PxaVr~
z*y_&7slK?;eCrd9mg&qpKPEt=^gp40{fDH4G=<(g{^abXn>QdSXk1vZp2Q;hC%7Zu
zIs|Lh_x;*H2~&al;=#IEzH*gNqa1)fB?lV`y<A(h!?NYYwGp7q;HHTl*O9)!yocqE
zB<qNUI_*0*dr@C>mwoPtWus?*X}xo`slw-{^Be~%^`kiRf;Qke`O;Q<{MMP=V9(-S
z_q#4`{H=~wrb*dpp;_EJdo6wv%%9nbRW~}&6&R-Mao1z0htw{j5ruwY?Spmpy!!{9
zNQ3hdkw!+|mDc1v<{#XCUUmF{>2P}UWyQ9*l(HgPynoCSYvXE27HVrM`vXc!l78kr
z-Yl9}b_K$r+NvR*PZczm_SWW4_IBI=k%Vu=t$OM+*YfjLC&|gli6mH#%wS2}fmjj*
zi2Hr7sLPuJnK+5`@wfQ^MpEtJKHgwWX^;CKenIBOe|~K9;l~U6K0TQmr5mfq;hN>R
zxB5<*vlA#w+U4V$@h?%TrJoB#!yzkpwyMm>V4Rh)GYR>a(Y(VjW5dz%!|qdk;|lL;
zhMQH}f&L3g7;d~|6@QQfHK!miCcvgv;=GW1z`#aoc-{fEwYBU*U42vCg_G;cvz)t3
zoGW!XTzuE$#4`~Ixw*K;vo9Z0Y_%oDdUFEVuP2*$r;8Q{2_JiOS}16fZEaMU^%00*
zLJ~$B^}r%rx@%W+kXBP3^8$)n$KTEM*~uj)1;){TaI70Rp~gBkp0tm)xjw^Ny(jy_
zqjdWAkQ$}ZDCk+RtgG$n*2dkh?{W$*_p;r@IImBNt`I)@=yXeK;1cgf&D<gTYnT(&
z3-;?>`4?g4%9Mv91D&ynZSm=i>fA3KudSlJ#=dm;(E&7*%sjeNj{zb|D3S2=?8|x8
zIKP3akU&${i4DNgxaHj;lE0^}lD%_xx1Uel8-wq_TJ@?7twPlUlb}25S_0p>febqi
zHMq88N<`P?dOTlb75B-Yx!_8ojg*Aic*_J{ry0ffe6i~erE;c@O<pz-%H{$sq?D({
zv#y@2{A*kC=jZ-G*%0K8V(n~k`fxR1{gNh+4MM)U`#-$Ar2ttd;3T97zW3!Vo%ckR
zyY{sdI(OSOWUWuNAL?o7s<nUk`MG#$Dyg=H?=~V}-IMeaOE0na$@Y#c-Y=Z`Xj);R
zn10ru&p9lEXP9p1O&m+*Ix1tU)s<BbJ-?VWm~6Idq|nbsW%R>sk+3d5fgdp-tjZ^A
z^L5`woS9RUaiUooS~5w3m|~98<}AH|^tOfOOAqL~|KcIP>F3vVJ-fc%=)pZ39#&Xn
z8zt$8Q3C-3A$p)W%eGWZWa%fGL6BGlraHL^AmkV$2rQCjpP43XbnAp_rkGdbLpP0X
zMR4vcmstOkx7(7_gf)YtSLb*PnY}wfk=Q^ERBRAfK$)OBBhV1*CSeia)FU(89x9)y
zhhd#Nq$k5_vnrQ&&kU;+r_pEc%{KOptv@w=`Hhxl-yTh$(bqGT#|pLV49`1xItYai
zjnF~!&$I3q#b@_qId?;`^*S5YfJNU~EA{ZxV_>Pi$tq*}oL~BJAWJI;bD#%{F3u+L
zLsk9mO*L%OY?s~Ki%S(8qP;|+3b6~PEjf1e5^&hFKdBZGVGRMT9?V6ry3sDXTkk{7
zzG$8Fv%_Z>n!NxhO?%@FX~CdjW<Ig*$bCmw$5PEEqV^k>#9>SXh~Z`X#%Kj*_U4Xp
zJs$?!{|mXfqaz-vBfkFgZ*QR`uG$^4X*bui%eaa3a8+j?=vgCG>AC*wqnNT~o0~8C
z56jXc=txAd^j{!%I<^H_VTsKtgw`4iTD}gvvJ~%|UOTw@?nQFeI@~*V@2;sfaolZs
zHT}o5dWT}qq3ov8Z3|7WCmkvP3UVnN0!})XR%1!pnPl$pd!>O2Z4S5Bdng-#biH0z
zJ2ME$Q+-9gK+9?c4J*Y<%YLeYX<rP1ARKJNCbB*A)8kqFklk8FyApX6W>*0n%6RSB
z{O-5$4?9$i7!b|62hDEgNPjs0CSboj!N%Wa%<BVRkU@;o0G%t(bZq~4|H&K@?Hn-a
zBb~ddVrBJFC6GS+;_6a|7c0TCZ2F$g(>x5pwWA_h+kK$ZAKX@94Dx{W=wW7r<_YXS
zdko=`2~g(z0dooE?Es6~l7WHQd|!bn();s${lh3A`aUmMxq?3PzgcPNf9tx~|FWAG
zkwq#sIsQnfqbbh^882YLdZRm71vL)E>m4Bsv_gF|UEdF+w;3xl(|h~HACipPm<hc_
zmLd31^p&qD^}Vo4;317m<&8U-d5^S0@RTiB>bQ%TbVWslPJ}v5k;RIbRu92tIb0Ma
z+Fov*TZ(`X03y3#)`E2}z_1-_ECQKA0m8?Pk^c5}{$wv-ulQl}^Gn8^69_hkQ%fku
zsyRcZ+j(WVa$mD3fAjgJ4m+XojYfMQwL0cb4kTL9!qkw;xeifBAqpVc1<XS?%#|dY
z)~}@#B`TdzAYY2y5I%#yfYt($?ksblpl)H^#dOO;s4X0v7#)bU(Y(1i>9jw6@1+4%
z1nM&#yJ|Iz)-rWd4b*QAuG(=q&c;4xpeoj)WO8CG%CWsHIy#!uUKaWqRTLAaSKHk9
z6GQsN!*mjzh39>Bpqwmh`|E;a%-Fzz^UKnVo_j$}@2W+dv!l8b;9(okLD|b&TOHq?
znx0UR@vjAoiVQkS++wIvS?~XpkcM{5E_^gy^d|C9LitI0P{KH<geoFFmyVD0_Y=^#
z8)8?4ID2)j%J2#rww~Ov9;|y62_<hNRsCoc-{+l;Q^pR5E<i<R_D{bZbyO5vlv(19
zOZ_0QUt}>VV!0?Yh;c{~HJ|9zkCkm)WOefzbRM6!(LIXY*AHD*Sfg+5<-A9s_4+!4
z`zypi>DKJIc>@}HLitUW&7WoQO`O0@_PTWXyE4GWEVYdo&=N<Uav*99cOjBM{VpNd
zuPjtCvHS+abA!$a3Q?L$pMM1?=0eYqaIHVF0|G;0{L7_;1orj*BW2#&7+a~Bvc>Ar
zX?1;pOHB_lLtjUhZ==ByK<a9N{y`M9AF@&uzz0>-lA)W)zo-`r_jI7Mw=|3VF0q*9
z(p43&QWT>;HhJK1qh|^#G|lP26fNdDS@0M5zIU8?-2WuX2g%65t%SCq4<MZ9l}~qw
zyJ(9FOTxrmCn``zY`}H*Bicf?$muVVNMv&ovN~gyI+kn{Hrg7kWBqc3-sO=W5ZcFp
zcl%qVd=vntG`Tcq6p&7qJiNTEUyOq!zr+)-g2n1YzCLYP8te~sQXZ0JlOJ0Z0JA@*
z*DLYIR1>d(O6P7=L3QpB8Di<FV%-tSo-%z-$-TX|xoiL#ckeH^MdLqh{#pyAn@2`e
zb@YKM7qsEP<9!7g$P*3?&ef>9qhbqEbNp-<oh@Pu${xR5#+pZEV+!e{Z&r!jJpKz5
zBcF9iJ`nOKO^SrILo6vlsqO~VHN(9I3tj4L14%_k@y`uPl*8-Y@|BgZ9vpp5zznaV
zw8-lxx<Jfj5;ldG=v8}vxOKj7gy-WOJt1Fv<n}`(N(s4Y&>Qfi@ztnSm<PPEA`$=U
z%B{)#$+5(WrE~%vF@gP$gn!tuV(Yotg@`Ks722AuC^c9?rVD_;jr6Ms{m?77&p+|-
z%ZQ(;>=;>0sAIp}Jj9hu6SMWrvlq+$L=f%$1ZH9TaPt)&*hZewSBQ7w#5c^k|1a*J
z_+OSMXjK2-mf-K7etvmb$Slc>6%%7an(1~8<$rCv0F%QeW4la?%MhQGKn!BN$|!~4
z2p(`*I28inktjl141INbN8(^6jm*7=mZ)&<PDL1LN6~boWWcSzt+h4KysTI%?<PD3
zZ8r{GF2t-0ff%bBY)`<nQ$H^l$M<Sii|r1+9%7fZmPke!0RBzaMz>g5!d9%xXEXC>
zx*^7J31pXcM1_;?tqk@;)7o*QHPGse@TQ&I`jgF<7RerYDb8~p|6EXg)(07@7;?Km
z*$!S@U0HK1r8F6?4a(!dvZdlYn(S%=_XY3&0!{lG71I@3u5K;IV$^J?L-o6#$Oe+3
z2E@Y1dZ-VG=Gqh|6Dv&SDu2<kL)>H+k~EK$n_^e?4|Wb31nK>bXRk+7F%<|=H%O?R
z&Hx5+(4v*ZUr<ZG&-=~if)k4E$kT=miNLCZ{$X9^8dAHtvNl!g^2S@GRAsE9_Jlfo
zezs7IqcZ&V45_ga%8Xa0avK;OR1N*=u+1mlt6#!XUL3~_@8*(L58b}*;Mg*h=V@JY
zTY#xeqQAZ;70{?n#IpvudNU=9=V>Zk!<$;of#)XWsW)^A)YL+|!h%$NCe=$BSBNv*
z3rWbsRjJ51UH*#?jSqiz?q06!zAm-*uQ7^bcnSK}aDO3gUD&D?Q}OuhEXP;d7FJG-
z0)-n#pMWlFQf*c~*t8865wmJ<lvk6%HR39iF36yQ+q#@mgm2{zmO&&{6^L#Y7WB4v
z)ugnmUy>oB>H<w6ur?j^#<}~7%IJ}^Z6k+IQux6OL;?EJQUz)9JovFg6<x~`p?v!<
zw<)`+;M|Sb7CC79>aT649++|x%3^evl}~2oi}%+%@+{uwpNfu;-(4KA-Vtyi5^zOA
z*$n^cs=Y90iXm5X`Ihn+-B^*}c7QP?VAv#}!#7IEuA$S!?qL~hGee^J(%Ym85zL#4
ztXMg#p=*taU#bDX1H(=mz>TCN<ivG9=Gz(eE@UQx^f7^i?}3x_5Y7_`4#FsrIXT+J
zV4S{;@Y!tv&RPXx`k&pRNTX2O_zf#IAK)wn^_h0me>hwcW)!ff^orkvD-{lbNg7x;
zZ5s-avk6$A_U2$}39TMA3n)$>pUhP)L9%GQD5|Q$alngdMKUn8Z64~ZjP3b!1+P{z
zsp+9xe;=$3mCC3J^;a@pFP1+bT?Bk97C?@rG`{RYs5DP#W*f&lKCr2l^yta7;<k_{
z==*emxiI^@j?&cRQld<)q9IaiB?=32zi9LE{o5}s_Gc?he0kk}TXf>c*@8t|oQ|kR
z?!zC{Umw0v;ZHR2L)myArBuLyFUzxY63^Uqx&SId3+S53yDfCmdwcc>BwU5ZM|!T(
zCpGS2aOW2@#BN?iX+u=wqq(-W-+ELQBHL=I-t+Xk9W7*vqV@eTXQ)x3`JzmDs!jF9
zCGwIB%}yRzgV4jy9DaY{HOQ=gFwOX{R-^+@&Q+$0x_`Lk2~o=2nty3i?N5oo^6EU-
ziGgY>tQR8V(w@VgW{awfYY&CU9_2d1tpe4uT%AXXg4#fm&`IG}m_YSFJyhpQ#_RhB
zCI;3diw;9C-Y+;v54KoJ0s^6lWMaUHX{bZPhP2+5fBW(l@g2*YE3AW-F!!c^L&TR{
zdQN0zVre<Yh_f)0mHVMj#D8*3Z}Rp?gBQd79+R9Gr^n1>ou4Zj2725NmqA@XEPscn
z7oEBlFpD?Vn`h3eWNx-uTUTH|ik~QP^tS%K>hg=Eg5^}BT$j`fyhIR0C2ykJ9{e}u
z*#cwP{gHI}mz#BTS(_0*k0BVY4J>9XV#{3Ktb{|PNu?41RES75fqz0SID+Kc{-Hd6
z&M&$Qiy4TCVcoalg}HS`M>&*p#3D^3+X<gS<8(mr`!LSnh5(rIdXHi&5dk2da#XxY
z2__a#8l`$5lPPqgVg&QqM=N7=VRSKXCq0qek_5n20nAdK%u&393ynZe3j+f38mtim
zry>OjE<+lE2y0zaR>lj8=<r%vU|InNl?{Jxma(addtleFg(_l>C^cFV!Ep+r0nn<9
z*~Hq#jS6!Y=P3`FU@jN6I^h4|3qaNQ%k|<`^+1|aEZs!$Dftj4+Mt2COq>0~Rirqv
z$bD-`4y%GokFY7>*Vm}|0?RM)mm~`zE5@i&$d{)wcFcY7W03jy`-K?74hY)IF)>l(
z6?TJuQy!%mjtc>et{S0ADKcqv`D$i#D>1sCkW)&DmOznIX?0K_^)3vb`v~5{*|%_-
z84&hSEK!y5PfrMtE8sl+@6L<rWw_HF+*8pNVTA#-1}VDQ)u!8rlS<D_X56+{j3!Vs
zlu>^?$2urv&Uk!AoP$2&c{YYAM0Dz6W^w6qbhi$e^y^cb$W4|98l}+v;5C;GQfK#j
zA6+hDZ!~WC@hqv5Pw$?jygRo<QlAe--r~a_@^J)rw8G*`Z0}?a{d^SlB$bZoFwLkd
zSLgZgv8e6j^y$f2m&|qJStcSji8(Hj8uSg{7;Rk%mTCuK5~9|?F72qImq94&N4-%2
z7{|>toMH&%`F${a`Vo7$Z$zKHw?}s&OA;jsAZ@*bhkZrs@OKPlVL=qXEJVIn+lvqk
zd~Z~tE{;virGk9K_y2eYS?lwOSW#}H*+@7>KX0^h_29A%`_(|`{ph>2a;NAqi~7=5
zT_Il|Okx=z7j_{$Dxn})>uI<GM@tA(VE&$8?tX8jI%N~z?U6BQEORgjj*3~$5CzxF
zu#SdoS8fZqeQbIbJwilMOpJ){?HyP4;DsSt-mm95bycnB^q~e)t#3$&ygZ_-%Nhn&
zU~@J#o@{RQz6)f)i2tKMG557N715*)Bg1xs@*Ox9gc^z%rwV$yd-T@>QgDDgoPq2@
zEE^nv_yYe{CeJIu%vuna@O>VKMM}y5mifZG;cckIWRy&T>G8nuVYVbyZQ4D?ki9q%
zC!>%Pg|tt~BGKu{-0EIX{9T~0<S~pxKpuH6pZm(!pH8pV{4%aw$g><}*FbarXf-8B
z(){3L^C`ppGj`>Jd+x%jrjUk7hG0vcT*^eXX|~3XikLXC1><moZ9Z084NF4*P0zkU
za)dch(Md;qH3w2@7Mqi4vWH7hId7!YUPa`4x;%@&PuJLYp#sE5=>v~{BhM=NVhI*F
zWSR`2;O-@fxjL7Ah#Yypyp_4>%9tz>-wP-+ZGqXxk%@Y+(7GYeB*R)vk4VcivY6(z
z@Ag~PQ}Q*fQJdc4+^N$cO_z;$6<xGGpZ=ELxst_93BlMG3*PR=t4O_Kh*3T9{%NI(
zBpo4ZDKdj)jtWR?r@pv9m)+{%7F4~^lvy*Akv|H&McB`-7$e&x1qs9za`%A>93lan
zT}Uxd2|1i}9K5e&OnNK0dhLHtW`^!n^iI~vC&KdUJ~xuC%OA_*Yk*fcK-40zb+qc^
zYYR!t_9y3ri(O#>BTRzeX-yjMs3c`L*5c5ZEmIGFe3L|Yn_@lr)fB$G+^RZnay17U
zuOle2C8|h<cnXA>k?=)|F2{t#zs4FpU4ggc0|I<#fvU3yf<a(So<^V~<sliL$#M9`
zT7|V%GGif$(58ZL$Kk>*ax^oXu&*DR0A@}F4I}H4Ayy)3QQX5Q<rPnq{FQqljEDnk
zG7=LRNl2dKfRT_IlEI2F=iY&Hc3|H;IzZMEC-1>%B4THb_Z7>)<6|+%NB9qrNXYmR
zp`XCh6dfi{U(&#J2w}Yj0V@erl&7DOUQa`f6F7Szu7-J!c6hccHWe=S_;?MDCz9pq
zGZF?0bU~dcP_VatL}r@C+vF8M-N-pjKryp3CUzfi5wU(;n5@8<*j&%0(>8%>$k!j=
zicjr**U7xXQJu<}`D|tq<CedCtdT*a!yka-((7xr`!EkIFc{9&{ASh3RWw*o>3>%b
z6sDWdjgHY{Nm93g5)wVVm`Ml~<a46=%w;cAbSWVb1e00<M&g*`42;lfh>>QQw2%ik
z_tRM^$ZmA5BM)NiW>JZkb$^ucHK2zh#%0zg&<h#w@nM8viJ*;#w!>X=zr^Y?*7~%2
z%;y$giJ8ShrVoYtZ$~CzhYY+Kt=<Vb;$Ovpw@n0Ezz06!?NH4ZV;fma&+fZD5pR`V
z&lT0llib7L1f_5e20&1>gdb~<-x@Q0=6y-T;5e)YIZj`sl-F9KgVxs8;wF11+~NBs
zC6Y)CX?0;I-~W+i%cC?8qgs|x+ajft$IDdt<E@>Fz>Z(K>s(Vyi2tayBI<z4Jw<;5
zIW5o5g+-158cb-NZ-N;DdKRSY;j#&tUp=t=Eq$eGD#75KG8vR?A{(0y`|a*@W)!l;
zdiaR4`xi39h9SLVmq*I}4yY)Pfmcs7%Si^EYsHj^9b(zxN#m<O(-_>7)OAjN9`W;;
zeUgDhigdHCPdhO=(ryKUnj-Q8jgmW{;#>LL&zEQbGXYi{Q4H13VuYt7Ut+9heS-7%
zT5Lj=IDESD4(O9$%+z~#Eb|9#yn}K~v8VTLPuCSV8Ef5c+$D}b0o24rJZ^{X@B-eK
zBokhMdSpdaRh5<7*_TM}v=rbwnp+Mv0c3vDNRfUnmn2clsW>M$I#(R6xizBGeJ<Ff
zxGRA%J9kri3{>fo7uQxf0!La=T@{+0zI8p4m(;){X0)EQ34K_PZiLoCq{dHifXb58
zPvAb(6AB(@341reP)7)MttceEm@evxs+j^Cr*|cnzsT}Dcnb!!<R}SM_o&Y0>BZmG
z%bI=Ui+YOU>de$~3t4sC8&+<TzvQi}w6vi_49irz)*g)_)Rj5f8S7ZIHi`f*VPqN1
zga^lJlHbijxcMn!jcwH3LL(BSk9=9+ZO}1uaU!x~wCI0W7^YWj;4G+y#V-iwHJc;t
z(DFiL4lCQaOHb5-etQ4UV4W;h%#%%Z$F!@x@n$6;_TzuC+S~M4W+;?6cViN{CROV{
z7b`gUjA_TApQ|a~+sWDtt8`X=hu^IRvBbpL0&k0!sCs*vW~13dB#uc;mC*-#S?dCe
zC7eP>osm(iQ&F1Ne#8_<3_`{G=H#OwP&KixW3*^I?ho>I!YYeDjJiHa1!*MD$jf9o
zZOQ6N(BQ&}J4)=*>pCQ9mYUFJp^VeZVgJ`W>xf_+Z=-o*!%7Ie6FPiq>-e-(Q)T4v
z9t5W^UDZ-Z37W)~DEAWYoF(<}D(O%Rue?LjI8h8prv9T!^oTm50{ex)DV&k>y;I(J
zQ1KB+LdDtE0@TCs{{EjS+I{82V{}qj+jkDa2jd^iB=1f(Yh4DM)+9(RQg(L=bMK5E
zM+z%}=!E5#f>=e#l&23_mc&>1#uA+}>B@1IP{tRdqHdKol5mfhp|iz)lvNxdc9Ak`
z9?2|#BR9nzzRI#Mp}5lr|A!^ZSio*rNn`%zl|Pk=o92tzA^;geryz=fP$dsa!$HYO
z+;jn*Th<6u8orK)00AQty*}ZTjW}G0#a76MiL<7r!>Bn^pP4<EcF^jAzDHFZm~va7
zSnT975C6B9RhdJ{UQ_5awGyn>VA6RErE_qRFlZP`oIYUF!!QdupLz>;>BpwTOnnBR
z>QLyxLO$YUc2p;tgY7){vyyzstjc>aa|A~2kbq6aHsZm6`1}{-c_$$e{z0RL80tL3
z#oKU!5=e|@@BXBf5W%FvNUDm>f&NBTREEJ6EOTv%iA^YiwFGon!gM)ZNGEdpcPtgm
zs6`tO{)!^uwe#?~k}AZl5b}XP;sxODGxY!_edtDm3|a_zQ;`Rkya}dp$G$0-;0FN!
z^#CT1A(sl~pP8$2GU=2#%GxUPhAUA=OxB^R9hnc_{}Aq>ed7L@Ignk#DHwOurP~9^
zh@B$Uh!yu6V#Gp7OLW)e2xFLLYpB3a<O>djj&eHcE8~KOP>MmmNjy%}^V82%79`n%
z!%eL+k^thh86E5nfmzZLPe1<~0<QVelt;1P*@dJYVHR3F{rx+pW9-WE_1`kf-CqkY
z@JEsrQOruln{B=6ScXoQe(LmqVM6-J`MH=Vzy^(3YWJ~DVInd*EAdr^DZf)LwC+k<
zX$VuxBpQUUy8&F0T=9N`-F0Fk!w=q~ju(-<jX}~PF-0Q2d^@t|AnC{)eER#vA2$9-
zD;|8@&vPl6ep##w`u+lM`=)urr&b1+e&pX1J6eZXX<DfmStY#3z{SI<wsnKrr_7Nn
z%i|1ny%<P%Ph8hO%oLm%<LZ3Nob1SGsj3k2Ca)H$$NxOx$pcJ=kA=enz)`z{W&d<!
zB3*<yQ7tG9v&QL;_RGb@JlH+V2nDhFL|oC1KyKjG7#K6|VPKCklr0eob>0=x2O>sw
zZCS%aTM3WTgO&u#b!iWg+ZnZ{R#;;+K#?SLR?^Wrc`<d4iok+Poh$Y(0_TM2o?CKL
z0l;oV8zOUA35Gv}1Q7^LIv8*Lj<0B5To;}c5}+VfSOFykLtVt7idbISR1sqrVhM#p
zdu{<IE5TcJgiue_OQNb0CJM~O!!Zfz{ZcO=z$fYQL=B*)9Z6z%GvJ8|At>0LF4rTW
z(j89GXO=)^JeciVRMI&_G}_6!^Zk=Nb`6vdMhrN=%mvav{`KD=dhi8mJnJu!Au-cp
z5Krzl2_~Wl6iY^%e+J!O!998Md#ngLvxBxcTmLiq2X^FecZF=S%?u~b<HyFdNeB$4
zM~m2qpm`kDZ*^`xDCd7i52zOmmn2NlaB77{KiQwiTLh#-g=zOhMz>lVLOgdM-aZm6
zg%q-Pzs*ZV{oUft{R8AOBhmsG)CR**3CxPjk5I8Q%s74kT_3>^#^TFcDZQvwGI~ff
z=rR_s2UC=#9vA!<4kGUJ#{`<Cx43*nPe^8gBGVMTe`Acb5VRSL{33ZflR2n>Q2Px?
zVUj9lYaz)Lv=(Y$2aqt`#JtbQ7$bp<o#0i34k6#KrGQ73&lbF7<YPel8bEx~{G4F6
zeEgM}J5zpnzQlf4-{(JaY5rt6b#S5KCO_7tMXA=T3+hbWH?UkvqJPdkQiHzl`^!BH
zaeQi(I`>%8vjrjv%o_aj79u10t~h;IL;4xt(~bRf4&yi-7Bws#%x|Dw`mWka1gVpw
z9Z^<Pw4%}gl}X~An7R4#1D4?%1U15n9Z-a*9NKcnZ%@(h->o7c6l$b?7L)pqIFWl*
z(;C8%X|{=^6=iTp3uvl905&!@HjiW;<F*dsU0z~eN+<Jf8B9r?pnq#nzkJ7H0@W$q
z%9ShV_VPPdLt`f`kjg?-`ywj>WgJWr{DBUvBjrfmSF)!tJ;=vuq^UFLGE93Hmn&zP
zeJ#f(6YLHqWzyz;CiODYqmn|c;_L;nfCM`SOs00k`BY)z*%ABWSaIJ|i^S+quep7*
zsL%Lk=XY?YPB>JXx>}$woWKh}U<!#{u&0;FRhwwr1K>g_`h?F${2NrFcumN$<l1&O
zFm%{w(%BpWKj;YvJ&JMT-XS00Ti+?=Xw=vhEW5U8tZ~Qzhu%F@a5*-IN!N?R&{5&^
zH{FOGiq8);bH@i!gg^tNk0H5Ik*7^OKR@Ge$-seIHO;AFX8)7#SPSYwyZWm0CgnIZ
z`y<iVa-rK5hLR{WWpKDur+d^%2S<3%V9n~GCR*abY`_}BgL$YGeS{;`nTKYjyr2K|
zIJ<wV;MJAN$SI4@ZB?6T$M`Z=+wx8CfCM;q!}qre<5sF(n!;E!dy;6-47{fL3d#Tb
z)vUMh%W79AL`NH1H$nNVNClNOwU?vm_40Te03<4~RjCV?O-p8jlE>SmTUT12{n|h2
z?t|qB<!@-_B?4XfG4ogpOpu{EYl~~E6w%B_^{83=Y>OOolGuEUP&|99vZ!QzSHxw_
zg!lb>RO!11zr{d`Y4&-+p%75(`f36$3yTZu)9zI>N+OvwPIpzt>NmU-1+y|am`9~v
zfR9)Y5)6g+G1y~3gJp1>(qEWIPY@e6g~{Znw)rIc05$osVZ%6fe-u|^-7^==-);w5
zhLDXvpvRvMj*Sob@LjogkV!}!0>l3lJw{E*WHe-R&d*tf7A>(Vn^HP~>{56cU*5i=
z5<Fwxnu-Z`xJ;b8@mF$AhIgu>^UFWjifTmP?O1w^%5$XgGKI8@GG!FUh&Y>^e0P>~
zUv3ME40{SLFVnYXP+iOwxJ*d!gQAjW_%Ubi?d=v7_x6Tor6ohtHbL7lTJ7B_pP~w+
z1Te#|m_SLXg-{MhEc8J+)03y=bxgo)>jUdbaTI{;?Xo)VQYoqf{wb&i<uJKYVkXEE
zm~ob2*w2em_5NqLAOEt5NyJnM5-+8ftJZu#Xazn0|8KzfFS~iiziU3Zul^8KUk0f_
znkRTp1q-sH(uNB`ayC`smy{vEf@HUjLZ$xDIig1IT<0vbKHnD1yE5`&&^{BUDE;b@
zodb2uHZbF2%&-t(hKHwhDdoKUfl9$BtQHZSf+`&aA~5o3t~ayi0&3&r0z+GJbsI=v
z5wvnT&s~%%Vr84)8)|n#o7f*iPzlo1n<;{7nZnKMLU|RRC3o@ilW$K^vtnF!Iyl5(
z#ETbH7ef4I91c|CRqwaORcheW(2qYtkFi*|7kPy6BRnG<?#<(mXN1q>FQD;AK~Y?c
zL$wwr8rx9bk2nEq(o67f-D=u0VL=^f_oVT2*+f~+%@u9@mPx}}--0c>V?Ft?3BJLR
z5%?xiGhD^F8|$~y!<4Q~e(%#^km%WkZ6WqymZbsXTb@In@@xz8cZTmX5}E~h7vaE2
zhAFw-XR_U=4@V}HGqyt=F_;%$U{48Z9$^=&xTPbBK{42ES#~oB3E+@_+cMxHQx7CQ
z;xx;VUQN)q%yd~mwQ`Gm9;)Ql$9VQEBA=6{yuXr)<<BoJa_+|NACf8jzgV9T){LS@
z{$rahoE+bFC}BpA@_o&!qo4Og7W;0uudOfRpdsv{uAa3_eEDj%1H%(jSz4-ih0>^^
zWV!6#T`E16e&p4U9BJsHB4IYr>J<Q^q429X=TO>4aS-`_s09LC896CKdp*UbFFmeC
zkVGWRYWJ(m0mY8;ws`eGflFqugZvZr%dK6%tH@tcaOPhR?w6yOIiCwpn^D>^!|E`3
z`$p+89%OC~W3LE9e?^s1=L8_W6o9K8(L3-N3G%Ly;Xow#kfE_()UF^dDxZljZ?G;s
zs#sI1{pU+Tz4OsWm-|eeG5^)$D_bnS+8xc0x<si5zC1$BHkiN8-K{m0`wBEH0<5w>
z6>Y|T6b@jwcLCy{B}gn~Np>lpV{LODHmbW*Xk<2v75n7zT*dZG^@Rdjb1ldFsy4fR
zr`IrT30nbMRLC;k1M)z@bH_>kI7OCr4as8N&uvVtMtL{O{pL5sT(p*A2G*j3fXkk@
zX4g(z+wSkja!}TE?uJb=tFd!r$aN~SEQfKMM}T5>_kA90q$=Sb6WcG3SFa5s=TS~Y
zAC@?63&PlitBRM>%#~Gw3boAX<<HLD1mBXpsGW)STHug03SBGF%$kI&eUd(&7cKs!
zC7ZQ43^SetO>EP!o<nsp;KxxJFLL}U@yGi)T=ZWmmxjnAhe4tF+F4)$suAus37NPU
zj{MY$EhG$(U7Dk!VlfQfU>tOXfnOpH*gVD*dw`(SV@k7#TrpPRUM|#og?PhkO#=w&
z$7Y<>P$UvQ4Z~1jL_e4E{(PYZ1DS#;Kn4j8m&h-bL}?e9tV$n(f#`8QQ#m9+K<M62
zuyc0f>X`@=j#%jA$3TUL7iN`%IMxQ}z8knl&piyFUdrX{yB~?{Q(ee!&z7T+?KF%L
zC@RF}Q?(y=xe3>^=t0Qb6{e&>as?1K)tP8(2MxGj^{qdm2+)R-mFe~?%R{O00Z@y$
zB9sNPj-aD9oWVM9R3+J2te`7ATS*8TSY0x2ypQTm5?@T<$LdP!mE427>q|}aT2EC*
zz0_an@Wm_7`_k9{&3CN&cat7d-Tg1R-PZr~&FlREX0L1&=4MGM0y^PHwAlmYsPA?7
zq%3?jMz;O+nBgQ<|D($Q^o0J|lgFQ|+{B1KmA4HeXRXMD$?zYO+PRuM&NSap5zXw$
z>O!~c5beZb-l0J29`kuE;^auh0K`=pYH!0a2{%!7qKd-nJAarEpp5v5tt>J~9$<3)
z0D-?oh9S&5LiNZzv<pxb{Tds4s01d1G+H7Hq2Zr`Z`LP!D1IeC5;rMPBLkM9LUV&n
z_tK}z?^lhTyhXG2-eNTTy&-=lfeR2eH~97Yo=JHp^)yn!60Wo#$v#1DN=k$T^k?!u
z!<^E}m>xaf%`$&M3Z!1V(P|DsAd*kO%nIKm9qOk+EC59nkKe=~0e3hle<l+sBm^#-
zBoh^p$@LD1D(DSQ-@`RQAR-UrOkRIV_{2J9vn3RyVkF0nss2O-Q7&!4l!?Xxy^{>}
zjPXNwq`}J?q+OKWsE`1%v0$kmb-T|cqnAkVZPceQC|jA$pGdA<SZ5D<U#4el>(3r}
zB0721A@kwiU1Fis?)2gIl{Fkd06#<z$s}_M#<i##7~N7J;~+Wz!WUT`?SDAZ7UG5p
zqj%&h>!4ftx3Nj997><hE~jL*Qyhd5ed?WGXy-7nV(bC}cvg{%dKl?dw0R3Ti6mrs
zErotvwZ*|v3_H~gvN~~hS5WdV&2)zQ?*As}h)H+DU29jHy>e4ow45@PmNGnxS5bDZ
zNVT!H4yei7c3}aBi+5dJr*xssAjl2Jz$k-Bu#+)R_P3Q9Tk??-*Kmwdt#$4D*99N4
zXfvz|c=zACC|80g#@a~nT<Xy3w#G2G`>})~?=J;C%dmfDsstW_$UR?}Jon{EXmMSS
zGex|r8^z9KT9oz|>UuVI&?3^B{eO{q-6PwEhfe4XeJ$s}BrnvBH_lOMbRTQ+(}WKa
zb;7P%B*fyGrAgRD<PK0E-q4BV|4mol*|x8PkKFwMeUdRYO^_fjbf>^yOg>}|7luV@
z^p%j^0k_T9#zPV6@q2S{4F7k?S%QTUQ$A3=$ls1b+Ixd`2S8t+26r~<a-ai~yTWO+
zE}kmiliTv;wWcP96g_>=*#D-=usa`YXAF&C4(!78+yUBcU`%_6ir@BLUB(<Pf=4T8
zu7Up*LYQhI@bbQae>4b-EE4RROx>E;D1j^%*cag>c0XvL;xmT}3#BxoS(|!k5+&5^
zrU`f;5P~SXJ79@1;Rw?=1-D4w|EG38-g!o1dC#<aH&C#kN;zzYPH06AgS<5+<3;@u
zR9-k*ozS4pbEI84LR}jRNf;(C9d?j<YBfrHVC2;m?|)&@P@M!x$;75WHH;Gi&dwn0
zQ4)p1!N}u<xmPbp<!;tg9?+p3)O3SyleGsT7UlJ&peG%*G<B`X{z?BNb&R?@B02N;
zJ8AaL|3k!A_aNznFo}i1xbAs2tP2&DqSii#AyKH(@a^6ItCimU%bkWjG@}1ic2=18
zx32g<oxi@ylK<cOc$^^eauMx`2=BfH<!gk^a;&_YD44myXsGWtPR2W??+;4sgHBN@
z-}%P8g3BzfW6iD`S5eGGE4uk)#Q=4eOXUt9B(aD(XQ}&C{A>N?61FKije6HLv?`@b
zj*n5QMQiJiv_U0Yj{Sb&<7`y$c*M*}U_w>HpjE*K%}K532sU{?K`jJ*4EEQVi;y)z
zjsMiz$IfiwYV=`S#`K;>Dlh(B$tsL9OmRR%`eB5MSfzIAMMm|_#lL`wS|>iu$)Abb
z=sgLM4O@p|5!3!e<GaG8ygD=}m2%nSm;jJ{6(RR8B<1k%r*|Vj4}NU&vINT-jyL_O
zxxDBE(%+_EkJ3_@|2qgCmEN;lkmmy4^pc;4DpG9fBF?F1B2W^gn|~2hlg#l3l9Bwx
zIF#;m!-lA?N_?Cs7Fc0XyUI`|?IcLH-Q1!>jP&5ORB+!)lmTJDgJMD!2<s+nLD-H8
zVJVcj5G0+u$W9W<y<%r_@efN}51Z0>CghHGlAA9R&LMs4@onK&*yJfF`SBro$orkd
zh5;$q9BMYG`PXKHNWm<`^TVLTR9=O-{sN2{((qsxQXApQt>;?6(u-hP4uzSh1$8>3
zcb~IedvhQ2XjHWLf3s}b;0Y|-Tl!Oovd7>|UM0d1<$dSg?@bO9#6nZC16<ISAVo!Y
zIDUO(d1ZKazQFXjPhT^ZsK8rkqz&EW&Dhy=xZ-Fo2b%&FGX>ayk#VLW6SK<b-3aCA
z#j<v&nJ}Jg>QO~c#SD{ItWW=^UIxolcOUQe!<Lb;zR!CnMwnK?xM{oFor+F_0t>xz
z+5<X$-w0bXMoRd;|EZ`q>MzeZ_hj<|^}r{8K}Zd3X<naG47ib3ez&zo`k^$cKk4Mq
zp)sfVKm~-|!RxT8Ao{&y1G8dYZBkug*ztYDw|{;+xw<gLs==t^dtY%G?EEOfin-J)
z6j46axA^{+J&oPvtttGFI*>P|$>HW81xHKjgNa-|HTj5h0}^+(`gGrQ#ecDmqsM|&
z7BYOhhcN9V=T@>z&Oy(qD9(TuznhAS>_RelAkVlZO^`tw78`aU>};k|sq2!rq$x6!
z%QV2}idbwVma$Rwas`J%V|A#(#_2*Q(Wet#9sK-?Xn0HW)*WOwaA!7O^~IIqu2N;3
zDN~V940EX2u{@CRs#FxD4D1IkE|z2b;oK`v3Ps%bj6z<iQKY>RRC8o7Jueg+A<iab
z9Ns}YY!Lw9FrJIfN}HrZ{_2r<=f?o%F68(?D_FmA|1K^R?v{JEFQadklqt#H0-9_Q
zMQ+pg3wcq0K6Hj)65j}OQ>6OmfI}U_0Kbe^elR6G{)-Z|Mbff^-C#5H=skb;g6+Z{
z3~)?@lMy-V_3v}hwnQ$7*p7J&Bs?0~R~~R~Z|^@vLbHz(D9pE0lPzk7=}$K<Sk{>I
zYWos0ni;>JuweEyg~RSIvptK$uuCj$8r#yWeTkICT85Y3+wNbs4VnHvD2Eayb7%wR
zEpT=eqt9O&wOps(M&&8fX1^e=K~-e`wqZOFW9UYIA`iQ7h5-#*0u?ixsltv-z7PdW
zpcL4;67Fg;fhhI9;MHk+JMJ*Guzlj87dB5NX7T^@KG1O>fXv3u#?@ic7V1J06tj;Q
zgqQrH5_C;=zQ79M_gKsE*cPlI`)e<@P8r2KEb5G(+aCxK+hfg)(~%4;_Ln^UJ_P$H
zKfkmjkZlOp((AaOXHjw9)IDN+U<(owQ=b(P@Ne@F7<SEF=<Cz&aq1j4l{QXSbif9G
z8UXT3oV?f07XAx+OJm;<ecDw7`{xA0Iv$U0m2{sD34ZFOy-dr71P7vTrB8TszZ#MM
zhiymy051Np7i2O$$}HBvlbLGt82@)~(G9?gO|{9xvAR*hUmcDx+k9(ZYlvM7*9}ZU
z_o`F#XH_1A2hj9=4m@et5optXIkm`<J-)j7;(_S(SSS#ufYjLcxEVi&1z8q9mOFy_
zt9m4M{24RzmAk?>W2qFn3dU`bV4a#K2Ue*b$kGYIJN1edSaH7%JN7LRHx<;{<|&pR
zlOp(4D=AsIg2qE@KlVTqE}G?e%EuLkbjg89(9_q<J&~<}xhLZC!Un=xM|0=xudETA
zE&G$yC!xuP@;L%0wrq|I8pjLc(2ooSzWMt{NF*P={r0Ukj7SgZUcPIZalbQ;MT@~#
z(D7fJeD7tzPc934+)>)5M?Y(RggTKO@_+Wj`@?)g2{N%8c1@Lm{@3aaDO|ysCy*ap
zvS5G2dmwM}vy<tE>_l+f#^nEX=4aZGl=dI+mz;i25R@C3eRm&<;LuLf3=^!VZ=R$B
z{NzN$xAW_%T?0(5jaoMd=3wvMNECPdC1=H)6Y*7h77sfhhYNb6oAG^w5w^260+&g9
z^Veg%xx*IKk_P>(X9Msd&~A0^WQKtEs)a-maQ;A8LVaSIkkZSMzo|r*JI`R%4A!YX
z>)-<BvZ=%8tb{<!GgP^`Y;uE0n9O*2gZ8T8e0BZ^R-A`Qp+t6h?AkCX1;(a<TyQWW
z9j)06KG`}~`TF$bCnHWtoGrrK7a4++kPO!PCMUMF@xskJ9DKz$U`Hqz@9O~<{UwEt
zJT*g^k<B;Kojt#Re5bTY4EcgcdLM`1umrBifH!%NO#y(sxNNF1ZuOs`OIi{OJ$=g9
zcyD}#>PVp`c}H52HZ>4EBup1*{Y*{pw87&zdT}XU2f~1mQodS1_!#Ewg&Y;wJJ93c
z63v5uPJW))o)R)%VQTZddK?G#{;2gc8T>=Yz7V>_xd;upOvg@t5ZSw-9f^_?8toi0
z7g*ok%b-4EGQyGnn~YpEl^_HKQiGi)l5Ak6E!h)nBh*iwEC1V+!88dcdbUc?W=PaJ
zROuy!T&N!SO-0JKM8V-ZFnge#B=M60_Sz`v{AtF$AIXvn=fq@J-lR?D<2<&r&kq}r
z=||TI$8fcMPyK1^RNMX|94==k+r4479oUO;2%kNv|3&eZj<`biyqOUkKV2W=y$F8&
z-S$3;3t{%MzW2?&HRN4~bk_f3)s+?v^U-|`1KarawAViG<`0uV&;;VJIbbPv8LmGk
zxk$Wdrdovf_*nS1;glH$DI<GWcG%8Pb7B-oL<6z_ADdPCV24!UfMFBtM~}<BMr0)`
zPI0~DY}q}KZ#Z08`$o^qZ~{KuJJ<sZy#+cl0xPsmT-ftria`t93b9Tz)Xpx0tvGyi
zfTl280g8l5O3ZYFe%kb%%yQI^1cI}^TITD%<&ZQ63>IOBfE8#Toa&pOw*<_e`z&wC
zw+8(mp?A~f?W9T4sx1C!4jVYA(On&J3vdV<-<h|v;zlo!4W!c$FdryI)Og63T}WG9
z(xe6Tah4bhXv2WukCI<Yip0eOyH_Bd#4vqVRHy*iG4HXWU8l0z;Wto(A)ET%;BvCW
z8Y>~|3LZ_-dC11bh8i1NDf`ntDH4efrQspN?D-TmNBET7S-j8~#_$0Jpp^DGKsysE
zS_;_9(n@t8A)HK@==@Zr`Lq;JR3vV}Jt+;vNA{e54lFY_%r`+(5N$sR&0`HY4G?Dn
z-3(qbLBCQ!xD~+Y1z8zLod6$<_JWtnrO~aOoI_Oho1*(o<r78LshACD7F>$=f!*p2
zxIUr7nHfIU<nbE}$Y_db33p}`IhllwB(xgFYu3!Kv-j=~p;jS=aDGq_STSD{1_x=t
zK>9A(UV`x342~yF5S4=4YyCo#<3A&qF3wQDH%E^psCxh<l43G>VJ(n`1n(^mMck~X
zB5G8*rAFsgYN$ik<-|-~;fg?iLxEvvu94Wlo;r*0`x1<KB7**(pkHpF+3p}T5xK8J
zdjk5hL3pHq$R<oh3frh~mXdE4i47aFR~3@9Lo1!OM~l?>?ayREta8M@Rn!ZEXQkb2
zNr~ogK~|mq;1P5jDNvofhL+=*tW)el$Tc_E)W(B2swGM#((x8CRSp&h3OJ!u0w<T-
zB=wo#ty8Nx;vTd09mOlAr5DkR`dX=%K{v}YA}ke*kia3xlsJAL#A;eB)S|^@lK_P+
z{nmke?c!3sYd~+|%i|>MJu~xxorDUxkt(zY*)HsJV^{eJE?KR)7?;6V^9gZIGJ#mC
zD^ZUuhP1Ll%3mEMz`2k1Dlv!gyPu9DzY60b0~Af~p6e?YOreiz={n*hzGL2#^Nmd%
zbX~FQA_NAy>xN`{$6<*lgc|5^5pNL@mP*9Vfzx$PQ3o9KK87WrNIj9ak-B^OVP+<S
zATvF%^VjXk3sZf?SF@&y+d;Qws)dq6WH{x#_fpYfU+{>k{_|l>1}YBJ2jz&Y8UH-S
z*LouYJiCxMHh#mwq{j*lQcySypgx^JiD*E?9=?hs_RVD7%BPJ(sArOPABM|{Qn`gn
z^Zpf8vVv+6@2Q0qqVsy%`^Uk)!2`~IG~;h^jwvYeJxAJkmJ1db)dBEqpv>q}*<|?M
z5pNY9=w0+HM!-7G{UmblDz-dgw$?FmjfX>lY2X-=@wxE^9FScI2Cz8dmxx<As1uGP
z@<$U<s9y%0W_rs?$T#ljQ~&_77%<*?XgICjM|;5t{n<4*tSd=6;uhk!RZ=x{@SOT6
z)|6*y(EDkdK(caoCEzdaWK^TN3YujnWdz>-rF#ZW<s&bRPK^$s6x&8|pVF~N?M9YO
z%$njJL9M(&fHy=wYP6!A+N8%+(Nacs3V5?=OBQ*xvuayuL}=ri!?4B0IjvRmH+V2W
zUHkX4^|ZCMT_+IbCQ4-JW&6dwvDxnX{2d}-G29@uTMIygEIDN99nj)KdtmYSDY;8D
zwNRCnBh$zvdK}v@1FbPfbDj;xqMZShD}-w5*v@wsGQJF~Q0LY!IPxu(B*B|*x4OSl
zy>Iyj+7K+{ssly7Y?2#bX~#DD)$MeBl>7s!>O*y&ekd?1cwv}7n&|B9ECyB}EI_**
zVc-~lID{(iHm!|s4@D-YCaZ}I17rn5A|oRgy=UZ$z9`j+=pNPD_R^3*tco^Ne0HIg
z64{Sj%*=1CiG0FuYV<m<uiI*~)TesJjFk_j3UXQHv(J3dVxOMBQvCPETVub^zx`;|
zv_;dddQAT{N!UT^F-vgOw)xvX?-Sa4eZemurgm(}|E+QMwJ@!HgA-@OtiD;x-dU!i
z;Hk=c(!aFY%qHAbw8C#3?G}&L020Mx)+auF`YRIb?rYbsq3i8hLlSHLRjA{!NSxw(
z|N3oDm{Rn<NOcaE>*uGNZfCko*<H4-;c4;pwYT9hP^g|V_3ffRMI`Qq$lHr=*<u6@
zCRuUL+rgh$g2$JjDOm@FK&OvyHgbvv&!6PPm}Dl?B_YmdDy?Ew|9<&$6_kk;=H}+z
zH7PqLCntk0Us)`t&a?ohy1BWLzoxSxJAIa);PJ>CH-3n`dskdmRtJmsM4Bk7J!t4E
z2g{Qgz^@!gKsb+uSeda!+*eTV_I6?1styz_Z8W=gU!IboJkys|uWoG}lRG(TLoemT
zi4*EOcWN0K1s4UZkA3-4Yofqs{5;(L5~8A_*|!CMQbSeouFB-_A?KcYLu~L`<a7*<
znwi4F&W-cG`R1FKXxL$Ma&vP>N7}=6QR>m(G3_n3irgH5@sp5~(_Oi8<*^0RPTv3h
z_isvrWOg8a9yDCBVlKvp#Y!jYV1wHm1*n%r^Y5+#i0lynDmnrJ0!BIRslRO9Dzb24
z6hwtCH2%4x@;Ly@Q_XeAp&5?>{VFp~96I~kZ%6Rkf%*mpQWd{{TlI#Rd`2kN;?B{b
zgz)rYgD)OX@5*YF5fESDH_BKT2IwW4b(hD%BRK$f#ch<ay6}B>_?etPz5O|Rm4Mx)
z_yG{0It6U<#kMdUlTuMJgB6IoaXW1>;uHr$T&BWOGFMms6K$Dd=+x0{=Y<Ed{nu)5
zM}binMZT8qZd=D+SVG;;7Mknq-1$4$#y!You`uYz7^d7EA0KyEW_9ruSd7W_?~l)&
z4@b6dU7^9P7BK9f+Czs9t>yp_>cKN9vrNJ`E$)u7;%UK8CWVEC?w}rWhn~-F9}Rb%
zi8p}tf0s6ANjQrwV5`w8C3pD6x2xBzQRlk!HpZh9ynV~_<aINBPp;U@nz~<6N-EJ~
zaeG%+EG{I$X8(HNz=2Lcva~C+1b^}r*SQygMBfo;?tP-{qu(7AUH5V;(3P_85SPnk
zH;g_L^|jjKJ)ZIS$rBM#(Zu=yY1COC!g&@8&Gjf6;A3>6xwEtdkDo<bcP!Qv?UUBe
zpT1fn;CfzO-qJaGic@-i75LV-yT@7TFMv@h%WU!ZKid29uo~C)?WdF>8!x-4c4D*A
zl0;=_lsT)SSsKMEjnW{^NjA1Dv6o6H87h@#ny0lltyD-UrFoDvOOqnL^Iq)t_x=4H
zzdyfqY{${AH9gOB-`91X=XGA!Gm(tj``p3cg|!L_2H=1O7}_$7Zi!UkrAy<X$rI-_
z29{jMX*>D(<B|22`9@q(bxZ~`<=Q0A7~b6}Xi_HF&cAl;+P+tJ&w>S?X0RRWlH#!H
zV556J)i#5RjE0Ua0dN<SrRs^kX8hZMjBoVUs;_;syxCw*y7T7Eb61jp_c8%--qSe6
ztZwK~P}9+6)>O71a<&vh<Lk$>*)A<I498b@&fMJOaL>KFf{~vkdC0;d3a5KLlZA%w
zB;d%s*Ebw~1KjyIaK<+-Hujn5ecW}z9+V^7a#2v*3Di7=7A?9izt=d)2&(^O@-$qt
zimEDI05fB2YwLLV#fukD!;o5=V!ri7j7D4hJ4&bm@`SL6h!m5BCZoF~BYzg&;p>|Z
zTS^KX(c8JA`)?@h!PfI~J4y*AqV`HI7VLM)=xJ>jQVMFiPtE15M+)BymA@ABFdp_n
zvMAq9G!^;fpqqblX=$kg8cW4DJBHDEks5t5;U~*?+)<1<hFq5jzMWbqKux|S1I6}7
zDe2dwl;$f2+T2jE4I!f~5{Jk8>qR6alF`uM(E0SDxRUFg%29s$AtZET9UT@r*JH6(
zx*c@jzRj{JU!p$s?wZ-7WBd7}1=_U&0|WEjy3QYEGV2O`JPNufmn-}$DWU-%z$r7t
zzpQ{Sr>3T--#31TcgV3hH-qH9J`issZ|~ekML3j@D_2a=rv~<<X7Y57UQon_!>LG|
zAAstGgoF%`hiYMfkewk>7z5`kMek$JCTfMtY>5@ryIOI5LmJWo84F|xUOKwzJ&KO?
z$b}C$ob6IHny~9mD%I#`Xa%G)#&R7Xq4gkFz`B4XwhaOEz2&9TH7PGNU`mv$%-rPj
z>7C9X+8Xj@D{D~N5R%<M)%(CoHHO&m0pGk9c;oi*5nVQ5|6Q#1KGdOwzf+6CGuC;#
zy1L#j6A%<+u;mUHTdcf6HApkn+Yxb^q6Fv?2&3sOI2alOhwx%F63z)m#q_xtx5+C7
zUn$BvLcz9TA3Ib+ncX8V7NE%G|0scoVmQ)Sy7|<=p=gcMt^clxQ(}i3rt(x{swWX>
zZ!~I0$gb^u<9h@#(qofj?Y;<G2UwnbBo#4tK#VCYE^Zc7PBnDExmnGY(mvT;A(CZZ
zy%UXUnIr~>G%Tm6;NW1A^~hd@53~GrBw~P4S*zUr$jA)8jnw4z*K)UOQjP{98_j=B
zxtgGUcJE;Fp}RPeUf|4X_!f){y+@qCtdW*>f)UNE;8Y4rzVGd$2bW&+)9uA7g9T>K
z?nB^qY%4DMIx{1(WXUQGjS`D8ab|<)+(i;w`1q^~fImKf*@fri<N(+ukSQqj-^itf
z#vK+B5&!*b)%RL7Ttt^4g+9P)AaN|@^5yj(K2SrmF0AgEvxFtDrLFC8M4TF`$dt`;
zertd_Au>UCMYthWS#7eZV)%x`R$S2;3`lE4iGwUF$T8)avg&B%H7f}$Y8l~cwp)1N
z$yBYbRi!vr)HI^BYT1u)TmW4q;Xt&CmX;Qq<~iJIiEM6wWF4(I1=ZyNR0n&s+neRO
z-j%I1xVS_L_mbPD4xIMVgIEa~Gnf|;`PY-1wPjl@3i^8S;>GfDZ|Jj@VFEz~1+E>z
z$U7gJ2i851(ohI2^+CgEmj9HypnyQGEU<??h7Jy!O-QS#OmB<lYhEF^opL#XJvI$V
zJs~zWwjl5?^9U&o4UGU~Uc@V}?6R`5bqLYyO-KF_*zDYpzH&9{Ccni#ctGxwcN35w
zMz`zEU&!dVkdP1qw4r%K+x|jv&IV%}=eWIlws?V<!tToJ8>-y2il21oVTZxf;$4@Z
z|D<#tQlKh4CM;4zu$YyL`a=>nSj6UFKFa$Ql2`jFko)@|KG>66D&$q3*uFi8<Zt+`
z5{{OJY>^gl)i6%8QZHk2MN7-d3O16V1noXNs9~Nlk5q5<(s@ghQfok$%yBOuh4%Q+
z6&geS0bkyq&dF)J)Kn#?HaC)QE@u#}6Z=(94ZK3)2#<<N#x+VbN;EiC2HYa|5inci
znGeFmAiwg4py2NAZmHfkhJ3ILn>G%YM)&Yb3LvBBUdGk6M;+EI-TI7yfkD(DxQ8*$
zZ}fLHj9v%;;E=J*e|#|2!l&NyEarfAbhs)By(@_B76|%hEi>_|>UF^>byfdIPv=VR
zR^$JLv);KS-xzD67O3mwmw<}{fqdRbXd)saabaP?DHeGKRcfQGb@%xp-f|@bDKU35
znLng<2Yo#<8$r~v&|5#tvCd%UPHfF!>}on$&EtJ_*W}k!{<59X*PQnV;VC{Lfexrt
zj(kHNxf;hvkU>o{?CRA!h=Ipj3zc=}e>#8Rf)hHtFgfMc{2v2Q^t@ZX>>8z9WBgJ3
zQQ+F6OUkG9@<W_CcI@ZRpMzQG>a~zvxpF(;QynIqDr7<Sv4Uf@9>q{+t=XJt+}}hK
zazk}@<@Hgu_el6J-8g5@YX<Q($l+zks0W>$lW%T4G2~ozNI<PXGYIq8QUF?g{QUZ{
ze^W!@z7^VcpzZs@3%l?ibm;O=9(+M_bX`i;y`urd0gWQR5Ad_*EL5cU8itTU*t8QT
zhSjbx$OaTycQARo0*WqvHUk4US~m1Nx1?M(K7L=K_9uz7mQ$a)r5Ku_66K?j0R9Yi
z@Y%ETSE2tboq?rD>qR+#i!@)mLrqN$jj<;reL26R+E?>MoKwI>uOTmI9W50a|4`kP
zI<vmA207S<MRZ2XtI+v#wXo@Nabz&f&Hy3E7%x#&mvVjoTr8ZfzpAb0MZd}uO3j4Z
zcn`ooLwR1iFBVwC5Tu?O1nhCx5c<#{c};wabEMOE6dxVI`4qSbXe>^hhmH}8PSl8A
zRfMk_M-#Lm(X!*25w^XkqP?6{zAT?SDJblYD^Zn=^ggJiqx0Nz;PP)<g#qyZ%F0DO
z>f5$bx=+`vq?&iayehnWc}h?aMW*%k!Mp|3xRS{_HPoC)mPd20K2joSoTo7?^G{Y|
zXqWQ=nCymfP?&Rs>lzYBO@MNYJa_8D3bM{$U-?BWj@8sO1ehwud<-Kx#F*YdO@U@{
z5|BDNOD{Rrr$*!bed;&3Rb~=Q2xOV)J<=(sg<WkyFl5N3ORw?%C%d={_UzsbxP?1V
z9LDv0J~`#>NYR@Ww#=PYmoZL?g}FK5G+NbvU#yp_hnTX(rL`~-vatyf{zgJeVq#*z
zUlIr!+_r6-+yQ*R09*cx-EeDBl4U`5iyM`D2ry<e%huGfDH|Dy^u=P#TSS)<ljR=}
zAR;Uri}PHtN~S#mi^f%z!C-`3yr>U=xMax^l5<eACj_peql4`Jmc<Brm!Mqj<%$w?
znq&|cf)8n6-QwT=4PTJA3C~r4F4Gt|9-!5M6GF`kaAvYA8>$~dew0Dhyv?;J3A6;2
zx<<n)O5*TZcqzRG9^}99<o63t?n3%{=QADX?_aoc=gxPoN?|u|nsG?XT?dlc?fqQz
ziI+x@PR;ArBDlIRg7*V2X&pH51}bX8ojWV-VhFtjqqDNIlEK9P%MN^g8+DfkndjE~
zEpC1SpfLJzX5q>-g0?WCKzYTymm85FbObrjMf$M%^pL(zPLDZ=Y_Mvs)8{kCSJR`%
zJ$Rs95pW&{NsqdB|NdYob>~00N62}!B@P!l{6|zY0n}WKnK^cu#j1sq44g>Lp`0y6
z$iTxc{_K0y+&g*|xlhVMIe<I2VFznk&KGn`6?Y%FckdpJ0nk|oWBolK;qnewo2It1
zGEHpVI`FQ??%i5oMeSq}xR+g7QI$P|_yfMbJC%8&Irr}8&)%28!?~h$SXV1ok(#$F
z6MlXSdr9hhlkyPl{Z?2ZUdvx++G=CFYJ*Fh+_95W#Ct<bqN}VqW*Whp+Y|E;{U?*F
z5h+|(qmWuP5-GoTWMo86XBKC9ie<q;t|;yTq@-J_!SF>h42>auAd3FXKFAzL$LV%A
zYf#mgANXZ@8k}Q?Z+E!Kkcli3*P2jC^_yK818*kyKej9Te2S$d;=KDvUdtHKba!_@
zW5eGphE*cB6=6{4yTszfzcX3rR|qgpJ|th}#uWvKmZ8)4-MxF)D}eZfg%5ar11I*X
z$Q8R9bF>u>rZpEmpN?4bz69z2?~Pf#Y88zEVb1_LZ17Jk&E{v(8tW)dG?rijM0gSb
z9p7f!-sa-U?=Tpu{DrzL^JUPD;+(_9&B6^qoa<+k6&<8X7CZtFMBrzJ-*HiUhfjYm
zV98@k9p`&6tNBXCr$--nb0(;u7bLQvuWlbPG{%9NnzFHcZCKUNyQ6iNLF77t>v8Mo
z(W4;UDQH$r0+v6uXO8pVzih{6A?qjnasE6nJOY5DAd-aHk2`QnJ1@yLm~-I^TDND<
zo?e1wkq>NH)tKr*|JHHlDPHbki#Q5ASO;k636vWb7uVg`CVC$h=R7(<F3#5x(+CnU
zuo1iScX{u9%lz2>x41@N;loZomvaR5prFTB1lLg`*2(R%LlIKU=a!fLAg@)cN8msM
z!-}<Q*6i)=?Y$8SY>ns!I<F09Q~KK9tu>(7ID27I>}H^Fz`K_P9#UFiddN2tp#^D1
zu860>p#<7+URdV2?;(5^`5hU^2+cM?XnJSPoH?aA%UP3fZbE8%LM_sYr;{)`BOZ~f
zaXInJP}G&}<nKu)X{n(9iCC>S)%{4U!y`A3#KM}Casi*{4zG@X1oz)oGi8tAtS>vX
zg|nO&VIW?C<k|yE_~MqCP@3>M&I@IUg^1^v`dXK2sjAED?CJtW|3{_Mdu2<2+j@#_
z4V8yYJAL}J-&yiORQnlTmPPiUG3G3ie5{PbMNzupZ1yUQs+-9EH|x1zA7sjEL$%0J
z6(Ubr1OOq&FvxT79$3KNaOck!KB^tvZZ+hlY!2|Jif^<I!UB3~$!q*3#kKP60Du=H
zjmrNfI#^S6xT2fERj}DzF7Mw?HOO^U`lGj`vC!uc5ECKd*w)(Ms9ww4Fm&VRiQg-B
zE70Z{-L|>))Yb@Fgc*B81IL#9@qntixr)5&*K^$`P?U*?>l^bc@pQOKFDx52|NA+j
z5gPXEP(WCw4rz6At%#oY$GID+98M9rrj)X>`@26$s!6gc%4f+>qppBc$o`pXjB$w(
zyYqggn)H^z!|%zfTpu9O*)&N?NJMqX<MvmpIpnw4b#uN1EUG5g1`k&!qB-#%i@4%J
zydUno0(Y)QetPUT=>j<d$=xZ>MZum`jiq7{`JZ&c5aiH4V9qctaaC*_7ChXF7jn+7
zRaQ3D*Vn&^DUlJuF}9`(TpNdLVR6g7|C0{fecesTB}K)WrEg|t7JrJVlj_ww6juHH
zr3d-^kNy$1L{uPhA2^P+HO6Bkk>0Ix(fgR4zZ1e*J-{N)oeY!Z_$E0~NJM5I8{y=5
zF+V4ZKy_OL_wd1%?5IZaek)aRFNIgwR|pWOSKWuY(hJ&m5Thrg81nM+Z15V|i%9uh
z2yodiV>Hs>+xviK@N`8L>-m7X<U|DRi~|}Vj&p#`)CIp`#Pq~)TN>E4?U%4upeJ?t
zo=(7J1Pd9sx~4DB;A=|%F|CZE8+CSe0@<OL{!?uUq5@fbOMd-zGsZ&mADEN70t<pX
z?&vXebi!yLEG=)}4-O9c2Oy}*GQrpA46|Z?9})!@;dGOSUV`vicPH($pxP=;E~f*~
zbt%i#x-Pe#q2kuL``>5Efrf;4#jrN;w(Yb1T=76MBq-ZBL2pNCh{!b>W@zb}awSww
z?qlP0_67eD<aZYtCQi1pVw^Xzpm{$gzS9__Qy^Q6NvJKO2IN?AT$jP9#?&1t1^~32
z*1X(B@lBL#BA8ggYV!T)??3|xbM6ILcm)eZ)L>fSrx0S!CejL)IPSw$00og~GJ~x}
z=3G(W;3wR7LF%m1Fk-^OG5#5)?spIfC+tbbE5Z(r&n8ZgKD^^q`8BUaf&0Y8lK@I9
z>g((4{^Bzq!9F1mx)D(=!GA1E0@V$nqD07=-b0bG53@4e<u)7TpL9TYU#p^WvvY;y
zzURpH23~>6Z7)UdBf~F?Cu^p?oGb*)*9l)|B3H@U-o9fe!lAaZ1n#)7g-c(*{>3>5
z-e-OEcjo8k#QjSi@jFR6-jVk=N=+1;g8Ud{jx;tHpz%O{FY3X0!##q{V*mXU_=f_Q
zo>NmAeap{g>_tj+R@ulM!q3RVRU5^F3eU+_#I}A6#bmpPOe7slNy5BO+&c^Awmy`(
z5&F2IP`&9&N)1wZd|pqGr^rL^L-L`Fog0eA*Z^^x-QVp45T<Y3xX~~M80y7sb#qcu
zKzc(4O@yblAxt#=e-@a8nztTK?!muS?Rk9U$!uUA>H2S&RQJg2vHji0k2gUTOho#X
z(-O*^a{=*{_xRL>@ht}p4A>C50_!_tXbAM?=!35Z$l2`Dth9_K&^-UYYdF~~ON$%n
zKe*&8<bEwSM0iWR3@T?2AJ6AR3Co~%Up^Vhda?T@8fHp<YJcQ|=tj_Yc)Qm}@)2h7
zG7J#B=dWDc-pV8QybTLdi4(ITVC=7jl4{=d-;h9R(L99Xg_pVG=UV4|YoTz|AfI)(
zet-flG=Ki<wr>+#A%$(zE<vr#9+IVFYhj+8RUw_p!U!_QT}L@qU?!DAKfWe4B@gXm
z0d8%TmmMR&7YV@-v=AQyfiDT7>a$E)+puj!O~R)%i2ar>`0ojzuQ$!yjeB*RKM=ER
z(7BR6x7BKBu8>d-gs!?c?Pb^P1e*E&eXc!8r#MIw6(?}FFMnYrFks|YL#UjPP(fNx
z+`7g;f&I%nCdzvw^sXO2s)_!57X)UJ4AmdM+<u_2u+UxY7)$?$-gfTSpHFJfZpf!T
z&-^@*R1VNTgpoV1m=L{r56;;i+6n%r{cmppp2v{NO#uS$0crTTiG-vjc{d)UD3{8P
zXHy+}m@Hrri^$pZD1>O<`!v4+p#Z=a_Wi$h%&j2a->{EZ{40O_*#7sw-{pVjmz-J1
z#hwaWa6$y5x69|?V+8;BfBv-GGuS3F(7=er$tcNa?bPSb38)VGLeSl0TOkaUMZPS9
z6c*8t6%QnuXkUF#1{EAQ9Nb_+(ac90QMYq^9e){c7v_=F8L0Pz&HI&9#mey0dPYcS
z=s{GQgrT8B*6Ia3tb+udhP<WIRs8*%A3+K)0|9y7fGM4X=Sbp_5iD<9(IQM5WyiwJ
zn}GJCB(tofkfrN+p#xQ`H&AvyeO0#U8LiUrvZ_bvApG|2R3iRkYzN9ndeDT8O9BG|
zVBiDmdpV*8JW3>20u(Wc1c5}awYBxr<fI7{WB|*J%QXVk>SevYsUxa<CrY1jk*_D>
zw+^^@9YNVZlD6U)1hfrtC;<nJ3Y{@j)6Lc#3Of3`Ud7Ka9oH85c@aSqe+)-~h?G<a
z8DA!6@$5CwTF|9KxLoP`-Q6?CQ429+yU)NIG;Aa0H`uuOA!OFP(D@4&W`iNz81&QB
z)KvYlM^n>IxfS_Yn~f~pZ;{pk&$rucY1N#=PjJ3unL62~V6rYyTI;lQb#utD^{&lX
zC)!%IV9}o_LILY2BNKebX}wip!>7^F$_WWj-Z$v*jPCdBK8D=;(qpi#qz#&cWvI^z
zzXADv>;<ox0r%;yo*p~AN~ugX=es(I<T9q2HrYLE4;L4Xqoe3hgsth}fbsC|uC8mx
zO8|2Y;WAf@%pm!kAjPTr=McVfw!rmO6|(`ryM(uOtgnrYot(jlrCN-up^*%HbK{X<
zR7kRzWeeA%D6o1j>lNvQ9Q=%WlOxD6I~E6J53RJZIG`Z#>xkwLMFctJA#fF<M_6U*
zI%#NKuL$rwckWy-E|&oW3fN)hkg6E3wc;|0M4-E`p#0U|-8Bd1y?sOvMbH#kx^xX=
z8VxI(&@o}r<^*Yk$nqFV{(Au6KX}e197HnKSY>^^iGzcKFFa&0q~)~*SOSI_o;>*&
z=l3Bxunv%S1gaTBAy}J@LPk89>(i70Ar+;X8YH|_v~V~=8zWLT3M;=YSh3B55FjiF
zOhr#T95^LaF99rm5L*1Z;o&sMY);U>31!3md~8|zU_+}`uO?Na@!r>(U{SBY^2yo8
zLU{=NkR6M4>OgK1Qd~wPFG<N%Y^{pQN^O`@-r$tuPTxyQx!gXO6^y`b!=Zwbp7F}$
zT@+>gYr(p!SfGoNU<X#Q(?OB^Z9YnQ*)xcK$?)GDb2KmZ&+~8wP)vpuz(x#H6i?d4
zNUHnVC=d0C1+kOKfYBR8*Kgi*#Dy?rC*y3Gp`QK*-~LgQ^xC!M%1_creXiJq>&7^U
zGm!$eY}-3}<@DDlZ|%_Bl4oUpz$J!{Ud}_`+b{t!2Xxqpk%@}F6VixHuLorJei(a{
zi>vT8lVMdbV<(fYrzYvHVFnwF;wUzxO|K$$wOtG<nx>F{asbyd$NGWWq{?LsV)teD
zVAR(iQssyMIY79XFFY_ccpaVojBP{4+m$)ZqNvm#P=wS2`bh(e6eC>5xCV1FjG*c{
ze^HTGNW=%jCd^%>F%V4%$@KU4&tyS*j6q3Rig9V#hBwfQhI*vl-GUN_o<TVjtaS#l
z1IZ$yF-%e|^uhDSh$-c5=rCqv(i~t&fTn1WIy?yvEK%uA8=-k5wzpd|44j<@)GaFq
z@%MY=h#fXSx&mFNGp1o89z!s+>otUJ0Sa=D_Yk6WFB%WRXv7*3VcUJv7EV|hd}PD~
zwtvf%ioCo&j0IsaF^3}pVKlpX(&<<yPORec0*o^rZ7U$6BNoxiExT~wL}6#tK>o~3
z9z+VXAeBriXaQ7^IIIk<eB*?55Swn7#lz46{?8r*Jb#F@uRJk`)8X+P(Q8QkW57pr
zZYQD^@>UX6urs5c@JqSNhP1Q}qe`e;Y=VN35x9o)6<%3RhM@w#6>d1nYZ2?pXu4$M
z<CBJZOFy37SaP}q<b}+`Ql9TAR_5M`4MRMSO-uq~5ILk6DBjkSaZ1Nanl#!}N4Za*
zDqTuN{;V8V0nL(PXn_g9=;J;J-9X4{aRIJ6rS>P{Z?As~h@<~yb^p)l9(Hem6}uZJ
zC%PafSJr=NK0(UxBatN~r;EQpr;sWOgiKknS$psA3OOF{j9rF3{r*;bFiAYw1Uiu$
z;-osg2L(++;&>}Lf8M-uH|b-&Z|uB~LHxe?cXf6~rJW59c7NehfPrG~^AIoTqC7_H
zd^IxigMW0)(GVIba8Bj>PkqXpNYT5yGrMcxYRl>eViF5Ai@!k0X?g9}5_r4$<zFTx
z(!<ylgy7rlm~_FGJf*AbQstiJ^Xrl&pO(m9DzpMgp)2v;UnrybnE&5J<h!BO7P;~u
zgw0LZI_j8QlcazDJc!w#MZFv79FeVQEuITF!6*H8e1zY+!gKJSCY1aW@2rCGss?Ed
zG2|>%^PYaJtLE{)>Y7@<9qI*?yy?`|w4&s>!%R_>&GXsXy1G?aD{iSZ-$Lc54}v&5
zmQ+)>I_F($QQWE+hM{0n`4)NZ!V~zKyLlEE&TOcc?!{Kf>BU@N?UpIg9uP8*!2-m-
zo_;K@_x%A1TQ29icI-@@0cMU&8|{pMbwE4cIPyi}XK7n2zp4XbzdhJT+(pNAK#V_K
z`mut=H`%v07kQz_23W@NcG=Rk2D?$AkD!s1mv_tc6ukev5`Z?h{B4sDrreA*7c7q2
zlD<zzrxv{Ylc!ZP8*H9I0%hnU*=yIXZT1?nFyU6{lM4PvHOwG1U!gghqNa8cYQUL|
zQVww;(RzWD;Z?Z;#s0?eHe|)<Z2>BV=0-*^Dqt7-!es}oh;7@9_#6)^r^Uv$XAi&F
zs}RD%)R|hm{E-BxtiFwnP3mukEA5a=!LX)Kv5o2Wh6f6X;?dWZrqZ^y!$47Cy!k<-
z1Ii;n?JEL+=h8d4YDGMF+CY<$(L#e#Sgg4d2XsdlrM_C6s4S1311X?kxW{oQai9QU
z*@-u0Ff~bWmrXQhl5YV9YO#wR<Mi#>yO*HJniNePh|n>^{;2O6A$rglu!YosOA|T<
z_C=&py+en{eFWpv)6?5V<<-)OUx18^Wv^PbYOD>n(1DNQ^62RCH_10}J{|zJHAIcI
zp;!r*;2RzGCWr+@Mnn%#HTkL#&5#89;WpI=5E+9(wV$Z4FD~LJNv(&XvfY#<rU^>R
zIdK@B4tj)CAu)}r1p-|FFV&IUjrw{brUaQz3(T3*k9H(Ohz+CBRnWGG`MS0^z)wm_
z%Hf|s<`LX7ntT2F^>65U>%|};qKFn(eZTV%rXj4B_-D`dfy7%PA=iPrDUOrd<kg}`
zXi-1+WE>6@C)Ai{NAVsx3K^kEdEG|UIIVE^BPtYi^;e#F)9?%y8lnI}x~ePiIzeoG
zMEtmN<q86MGL#^zn84{oGF#d<IV~-1=>{ue=SoCU6<WA30#D=T=O@Ysfj{Wq(*xQa
zR&E1_yo(Ey0Kh<=20H-}1hbq>Qc%K#XfnOr<O<A2zzIoEj_^rQxD4<mkVX()v}$C5
zeGP=(U?9fAD6tC9`!9vav|)%~1EH*^k1a!Lxu`7M9{-(>a{ZNibleJ;0S^vSe%4O{
u`qBD-l)Jq@$usr;f5|&di~jdc$oEB!rBrG4Z@ihi6l2eU-KjgRgZ~eAJ36oc

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_sources/API.rst.txt b/docs/0.10.3/html/_sources/API.rst.txt
new file mode 100644
index 000000000..fdbf2242b
--- /dev/null
+++ b/docs/0.10.3/html/_sources/API.rst.txt
@@ -0,0 +1,16 @@
+.. _API:
+
+API
+***
+
+The API is split into 4 main components: Profilers, Labelers, Data Readers, and
+Validators.
+
+.. toctree::
+   :maxdepth: 1
+   :caption: Contents:
+   
+   dataprofiler.data_readers
+   dataprofiler.profilers
+   dataprofiler.labelers
+   dataprofiler.validators
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/add_new_model_to_data_labeler.nblink.txt b/docs/0.10.3/html/_sources/add_new_model_to_data_labeler.nblink.txt
new file mode 100644
index 000000000..130e413fc
--- /dev/null
+++ b/docs/0.10.3/html/_sources/add_new_model_to_data_labeler.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/add_new_model_to_data_labeler.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/column_name_labeler_example.nblink.txt b/docs/0.10.3/html/_sources/column_name_labeler_example.nblink.txt
new file mode 100644
index 000000000..6f95cf7cb
--- /dev/null
+++ b/docs/0.10.3/html/_sources/column_name_labeler_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/column_name_labeler.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/data_labeling.rst.txt b/docs/0.10.3/html/_sources/data_labeling.rst.txt
new file mode 100644
index 000000000..db76fe791
--- /dev/null
+++ b/docs/0.10.3/html/_sources/data_labeling.rst.txt
@@ -0,0 +1,365 @@
+.. _data_labeling:
+
+Labeler (Sensitive Data)
+************************
+
+In this library, the term *data labeling* refers to entity recognition.
+
+Builtin to the data profiler is a classifier which evaluates the complex data types of the dataset.
+For structured data, it determines the complex data type of each column. When
+running the data profile, it uses the default data labeling model builtin to the
+library. However, the data labeler allows users to train their own data labeler
+as well.
+
+*Data Labels* are determined per cell for structured data (column/row when 
+the *profiler* is used) or at the character level for unstructured data. This
+is a list of the default labels.
+
+* UNKNOWN
+* ADDRESS
+* BAN (bank account number, 10-18 digits)
+* CREDIT_CARD
+* EMAIL_ADDRESS
+* UUID 
+* HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)
+* IPV4
+* IPV6
+* MAC_ADDRESS
+* PERSON
+* PHONE_NUMBER
+* SSN
+* URL
+* US_STATE
+* DRIVERS_LICENSE
+* DATE
+* TIME
+* DATETIME
+* INTEGER
+* FLOAT
+* QUANTITY
+* ORDINAL
+
+
+Identify Entities in Structured Data
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Makes predictions and identifying labels:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    # load data and data labeler
+    data = dp.Data("your_data.csv")
+    data_labeler = dp.DataLabeler(labeler_type='structured')
+
+    # make predictions and get labels per cell
+    predictions = data_labeler.predict(data)
+
+Identify Entities in Unstructured Data
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Predict which class characters belong to in unstructured text:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data_labeler = dp.DataLabeler(labeler_type='unstructured')
+
+    # Example sample string, must be in an array (multiple arrays can be passed)
+    sample = ["Help\tJohn Macklemore\tneeds\tfood.\tPlease\tCall\t555-301-1234."
+              "\tHis\tssn\tis\tnot\t334-97-1234. I'm a BAN: 000043219499392912.\n"]
+
+    # Prediction what class each character belongs to
+    model_predictions = data_labeler.predict(
+        sample, predict_options=dict(show_confidences=True))
+
+    # Predictions / confidences are at the character level
+    final_results = model_predictions["pred"]
+    final_confidences = model_predictions["conf"]
+
+It's also possible to change output formats, output similar to a **SpaCy** format:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data_labeler = dp.DataLabeler(labeler_type='unstructured', trainable=True)
+
+    # Example sample string, must be in an array (multiple arrays can be passed)
+    sample = ["Help\tJohn Macklemore\tneeds\tfood.\tPlease\tCall\t555-301-1234."
+              "\tHis\tssn\tis\tnot\t334-97-1234. I'm a BAN: 000043219499392912.\n"]
+
+    # Set the output to the NER format (start position, end position, label)
+    data_labeler.set_params(
+        { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } } 
+    )
+
+    results = data_labeler.predict(sample)
+
+    print(results)
+
+Train a New Data Labeler
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Mechanism for training your own data labeler on their own set of structured data
+(tabular):
+
+.. code-block:: python
+    
+    import dataprofiler as dp
+
+    # Will need one column with a default label of UNKNOWN
+    data = dp.Data("your_file.csv")
+
+    data_labeler = dp.train_structured_labeler(
+        data=data,
+        save_dirpath="/path/to/save/labeler",
+        epochs=2
+    )
+
+    data_labeler.save_to_disk("my/save/path") # Saves the data labeler for reuse
+
+Load an Existing Data Labeler
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Mechanism for loading an existing data_labeler:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    data_labeler = dp.DataLabeler(
+        labeler_type='structured', dirpath="/path/to/my/labeler")
+
+    # get information about the parameters/inputs/output formats for the DataLabeler
+    data_labeler.help()
+
+Extending a Data Labeler with Transfer Learning
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Extending or changing labels of a data labeler w/ transfer learning:
+Note: By default, **a labeler loaded will not be trainable**. In order to load a 
+trainable DataLabeler, the user must set `trainable=True` or load a labeler 
+using the `TrainableDataLabeler` class.
+
+The following illustrates how to change the labels:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    labels = ['label1', 'label2', ...]  # new label set can also be an encoding dict
+    data = dp.Data("your_file.csv")  # contains data with new labels
+
+    # load default structured Data Labeler w/ trainable set to True
+    data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)
+
+    # this will use transfer learning to retrain the data labeler on your new 
+    # dataset and labels.
+    # NOTE: data must be in an acceptable format for the preprocessor to interpret.
+    #       please refer to the preprocessor/model for the expected data format.
+    #       Currently, the DataLabeler cannot take in Tabular data, but requires 
+    #       data to be ingested with two columns [X, y] where X is the samples and 
+    #       y is the labels.
+    model_results = data_labeler.fit(x=data['samples'], y=data['labels'], 
+                                     validation_split=0.2, epochs=2, labels=labels)
+
+    # final_results, final_confidences are a list of results for each epoch
+    epoch_id = 0
+    final_results = model_results[epoch_id]["pred"]
+    final_confidences = model_results[epoch_id]["conf"]
+
+The following illustrates how to extend the labels:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    new_labels = ['label1', 'label2', ...]
+    data = dp.Data("your_file.csv")  # contains data with new labels
+
+    # load default structured Data Labeler w/ trainable set to True
+    data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)
+
+    # this will maintain current labels and model weights, but extend the model's 
+    # labels
+    for label in new_labels:
+        data_labeler.add_label(label)
+    
+    # NOTE: a user can also add a label which maps to the same index as an existing 
+    # label
+    # data_labeler.add_label(label, same_as='<label_name>')
+
+    # For a trainable model, the user must then train the model to be able to 
+    # continue using the labeler since the model's graph has likely changed
+    # NOTE: data must be in an acceptable format for the preprocessor to interpret.
+    #       please refer to the preprocessor/model for the expected data format.
+    #       Currently, the DataLabeler cannot take in Tabular data, but requires 
+    #       data to be ingested with two columns [X, y] where X is the samples and 
+    #       y is the labels.
+    model_results = data_labeler.fit(x=data['samples'], y=data['labels'], 
+                                     validation_split=0.2, epochs=2)
+
+    # final_results, final_confidences are a list of results for each epoch
+    epoch_id = 0
+    final_results = model_results[epoch_id]["pred"]
+    final_confidences = model_results[epoch_id]["conf"]
+
+
+Changing pipeline parameters:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    # load default Data Labeler
+    data_labeler = dp.DataLabeler(labeler_type='structured')
+
+    # change parameters of specific component
+    data_labeler.preprocessor.set_params({'param1': 'value1'})
+
+    # change multiple simultaneously.
+    data_labeler.set_params({
+        'preprocessor':  {'param1': 'value1'},
+        'model':         {'param2': 'value2'},
+        'postprocessor': {'param3': 'value3'}
+    })
+
+
+Build Your Own Data Labeler
+===========================
+
+The DataLabeler has 3 main components: preprocessor, model, and postprocessor. 
+To create your own DataLabeler, each one would have to be created or an 
+existing component can be reused.
+
+Given a set of the 3 components, you can construct your own DataLabeler:
+
+.. code-block:: python
+    from dataprofiler.labelers.base_data_labeler import BaseDataLabeler, \
+                                                        TrainableDataLabeler
+    from dataprofiler.labelers.character_level_cnn_model import CharacterLevelCnnModel
+    from dataprofiler.labelers.data_processing import \
+         StructCharPreprocessor, StructCharPostprocessor
+
+    # load a non-trainable data labeler
+    model = CharacterLevelCnnModel(...)
+    preprocessor = StructCharPreprocessor(...)
+    postprocessor = StructCharPostprocessor(...)
+
+    data_labeler = BaseDataLabeler.load_with_components(
+        preprocessor=preprocessor, model=model, postprocessor=postprocessor)
+
+    # check for basic compatibility between the processors and the model
+    data_labeler.check_pipeline()
+
+
+    # load trainable data labeler
+    data_labeler = TrainableDataLabeler.load_with_components(
+        preprocessor=preprocessor, model=model, postprocessor=postprocessor)
+
+    # check for basic compatibility between the processors and the model
+    data_labeler.check_pipeline()
+
+Option for swapping out specific components of an existing labeler.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    from dataprofiler.labelers.character_level_cnn_model import \
+        CharacterLevelCnnModel
+    from dataprofiler.labelers.data_processing import \
+        StructCharPreprocessor, StructCharPostprocessor
+
+    model = CharacterLevelCnnModel(...)
+    preprocessor = StructCharPreprocessor(...)
+    postprocessor = StructCharPostprocessor(...)
+    
+    data_labeler = dp.DataLabeler(labeler_type='structured')
+    data_labeler.set_preprocessor(preprocessor)
+    data_labeler.set_model(model)
+    data_labeler.set_postprocessor(postprocessor)
+    
+    # check for basic compatibility between the processors and the model
+    data_labeler.check_pipeline()
+
+
+Model Component
+~~~~~~~~~~~~~~~
+
+In order to create your own model component for data labeling, you can utilize 
+the `BaseModel` class from `dataprofiler.labelers.base_model` and
+overriding the abstract class methods.
+
+Reviewing `CharacterLevelCnnModel` from 
+`dataprofiler.labelers.character_level_cnn_model` illustrates the functions 
+which need an override. 
+
+#. `__init__`: specifying default parameters and calling base `__init__`
+#. `_validate_parameters`: validating parameters given by user during setting
+#. `_need_to_reconstruct_model`: flag for when to reconstruct a model (i.e. 
+   parameters change or labels change require a model reconstruction)
+#. `_construct_model`: initial construction of the model given the parameters
+#. `_reconstruct_model`: updates model architecture for new label set while 
+   maintaining current model weights
+#. `fit`: mechanism for the model to learn given training data
+#. `predict`: mechanism for model to make predictions on data
+#. `details`: prints a summary of the model construction
+#. `save_to_disk`: saves model and model parameters to disk
+#. `load_from_disk`: loads model given a path on disk
+  
+  
+Preprocessor Component
+~~~~~~~~~~~~~~~~~~~~~~
+
+In order to create your own preprocessor component for data labeling, you can 
+utilize the `BaseDataPreprocessor` class 
+from `dataprofiler.labelers.data_processing` and override the abstract class 
+methods.
+
+Reviewing `StructCharPreprocessor` from 
+`dataprofiler.labelers.data_processing` illustrates the functions which 
+need an override.
+
+#. `__init__`: passing parameters to the base class and executing any 
+   extraneous calculations to be saved as parameters
+#. `_validate_parameters`: validating parameters given by user during
+   setting
+#. `process`: takes in the user data and converts it into an digestible, 
+   iterable format for the model
+#. `set_params` (optional): if a parameter requires processing before setting,
+   a user can override this function to assist with setting the parameter
+#. `_save_processor` (optional): if a parameter is not JSON serializable, a 
+   user can override this function to assist in saving the processor and its 
+   parameters
+#. `load_from_disk` (optional): if a parameter(s) is not JSON serializable, a 
+   user can override this function to assist in loading the processor 
+
+Postprocessor Component
+~~~~~~~~~~~~~~~~~~~~~~~
+
+The postprocessor is nearly identical to the preprocessor except it handles 
+the output of the model for processing. In order to create your own 
+postprocessor component for data  labeling, you can utilize the 
+`BaseDataPostprocessor` class from  `dataprofiler.labelers.data_processing` 
+and override the abstract class methods.
+
+Reviewing `StructCharPostprocessor` from 
+`dataprofiler.labelers.data_processing` illustrates the functions which 
+need an override.
+
+#. `__init__`: passing parameters to the base class and executing any 
+   extraneous calculations to be saved as parameters
+#. `_validate_parameters`: validating parameters given by user during
+   setting
+#. `process`: takes in the output of the model and processes for output to 
+   the user
+#. `set_params` (optional): if a parameter requires processing before setting,
+   a user can override this function to assist with setting the parameter 
+#. `_save_processor` (optional): if a parameter is not JSON serializable, a 
+   user can override this function to assist in saving the processor and its 
+   parameters
+#. `load_from_disk` (optional): if a parameter(s) is not JSON serializable, a 
+   user can override this function to assist in loading the processor 
diff --git a/docs/0.10.3/html/_sources/data_reader.nblink.txt b/docs/0.10.3/html/_sources/data_reader.nblink.txt
new file mode 100644
index 000000000..4722970da
--- /dev/null
+++ b/docs/0.10.3/html/_sources/data_reader.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/data_readers.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/data_readers.rst.txt b/docs/0.10.3/html/_sources/data_readers.rst.txt
new file mode 100644
index 000000000..4679d33a6
--- /dev/null
+++ b/docs/0.10.3/html/_sources/data_readers.rst.txt
@@ -0,0 +1,164 @@
+.. _data_readers:
+
+Data Readers
+************
+
+The `Data` class itself will identify then output one of the following `Data` class types. 
+Using the data reader is easy, just pass it through the Data object. 
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    data = dp.Data("your_file.csv")
+
+The supported file types are: 
+
+* CSV file (or any delimited file)
+* JSON object
+* Avro file
+* Parquet file
+* Graph data file
+* Text file
+* Pandas DataFrame
+* A URL that points to one of the supported file types above
+
+It's also possible to specifically call one of the data classes such as the following command:
+
+.. code-block:: python
+
+    from dataprofiler.data_readers.csv_data import CSVData
+    data = CSVData("your_file.csv", options={"delimiter": ","})
+
+Additionally any of the data classes can be loaded using a URL:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    data = dp.Data("https://you_website.com/your_file.file", options={"verify_ssl": "True"})
+
+Below are descriptions of the various `Data` classes and the available options.
+
+CSVData
+=======
+
+Data class for loading datasets of type CSV. Can be specified by passing
+in memory data or via a file path. Options pertaining the CSV may also
+be specified using the options dict parameter.
+
+`CSVData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* delimiter - Must be a string, for example `"delimiter": ","`
+* data_format - Must be a string, possible choices: "dataframe", "records"
+* selected_columns - Columns being selected from the entire dataset, must be a 
+  list `["column 1", "ssn"]`
+* sample_nrows - Reservoir sampling to sample `"n"` rows out of a total of `"M"` rows.
+  Specified for how many rows to sample, default None.
+* header - Define the header, for example
+
+  * `"header": 'auto'` for auto detection
+  * `"header": None` for no header
+  * `"header": <INT>` to specify the header row (0 based index)
+
+JSONData
+========
+
+Data class for loading datasets of type JSON. Can be specified by
+passing in memory data or via a file path. Options pertaining the JSON
+may also be specified using the options dict parameter. JSON data can be 
+accessed via the "data" property, the "metadata" property, and the 
+"data_and_metadata" property.
+
+`JSONData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format - must be a string, choices: "dataframe", "records", "json", "flattened_dataframe"
+  
+  * "flattened_dataframe" is best used for JSON structure typically found in data streams that contain
+    nested lists of dictionaries and a payload. For example: `{"data": [ columns ], "response": 200}`
+* selected_keys - columns being selected from the entire dataset, must be a list `["column 1", "ssn"]`
+* payload_keys - The dictionary keys for the payload of the JSON, typically called "data"
+  or "payload". Defaults to ["data", "payload", "response"].
+
+
+AVROData
+========
+
+Data class for loading datasets of type AVRO. Can be specified by
+passing in memory data or via a file path. Options pertaining the AVRO
+may also be specified using the options dict parameter.
+
+`AVROData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format - must be a string, choices: "dataframe", "records", "avro", "json", "flattened_dataframe"
+
+  * "flattened_dataframe" is best used for AVROs with a JSON structure typically found in data streams that contain
+    nested lists of dictionaries and a payload. For example: `{"data": [ columns ], "response": 200}`
+* selected_keys - columns being selected from the entire dataset, must be a list `["column 1", "ssn"]`
+
+ParquetData
+===========
+
+Data class for loading datasets of type PARQUET. Can be specified by
+passing in memory data or via a file path. Options pertaining the
+PARQUET may also be specified using the options dict parameter.
+
+`ParquetData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format - must be a string, choices: "dataframe", "records", "json"
+* selected_keys - columns being selected from the entire dataset, must be a list `["column 1", "ssn"]`
+
+GraphData
+=========
+
+Data Class for loading datasets of graph data. Currently takes CSV format,
+further type formats will be supported. Can be specified by passing
+in memory data (NetworkX Graph) or via a file path. Options pertaining the CSV file may also
+be specified using the options dict parameter. Loads data from CSV into memory
+as a NetworkX Graph.
+
+`GraphData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* delimiter - must be a string, for example `"delimiter": ","`
+* data_format - must be a string, possible choices: "graph", "dataframe", "records"
+* header - Define the header, for example
+
+  * `"header": 'auto'` for auto detection
+  * `"header": None` for no header
+  * `"header": <INT>` to specify the header row (0 based index)
+
+TextData
+========
+
+Data class for loading datasets of type TEXT. Can be specified by
+passing in memory data or via a file path. Options pertaining the TEXT
+may also be specified using the options dict parameter.
+
+`TextData(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* data_format: user selected format in which to return data. Currently only supports "text".
+* samples_per_line - chunks by which to read in the specified dataset
+
+
+Data Using a URL
+================
+
+Data class for loading datasets of any type using a URL. Specified by passing in 
+any valid URL that points to one of the valid data types. Options pertaining the 
+URL may also be specified using the options dict parameter.
+
+`Data(input_file_path=None, data=None, options=None)`
+
+Possible `options`:
+
+* verify_ssl: must be a boolean string, choices: "True", "False". Set to "True" by default.
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.avro_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.avro_data.rst.txt
new file mode 100644
index 000000000..d3227df29
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.avro_data.rst.txt
@@ -0,0 +1,7 @@
+Avro Data
+=========
+
+.. automodule:: dataprofiler.data_readers.avro_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.base_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.base_data.rst.txt
new file mode 100644
index 000000000..b82883cb9
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.base_data.rst.txt
@@ -0,0 +1,7 @@
+Base Data
+=========
+
+.. automodule:: dataprofiler.data_readers.base_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.csv_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.csv_data.rst.txt
new file mode 100644
index 000000000..85a625d69
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.csv_data.rst.txt
@@ -0,0 +1,7 @@
+CSV Data
+========
+
+.. automodule:: dataprofiler.data_readers.csv_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.data.rst.txt
new file mode 100644
index 000000000..813e81805
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.data.rst.txt
@@ -0,0 +1,7 @@
+Data
+====
+
+.. automodule:: dataprofiler.data_readers.data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.data_utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.data_utils.rst.txt
new file mode 100644
index 000000000..309208b73
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.data_utils.rst.txt
@@ -0,0 +1,7 @@
+Data Utils
+==========
+
+.. automodule:: dataprofiler.data_readers.data_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt
new file mode 100644
index 000000000..89e78cc2d
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt
@@ -0,0 +1,7 @@
+Filepath Or Buffer
+==================
+
+.. automodule:: dataprofiler.data_readers.filepath_or_buffer
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.graph_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.graph_data.rst.txt
new file mode 100644
index 000000000..b8b982f79
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.graph_data.rst.txt
@@ -0,0 +1,7 @@
+Graph Data
+==========
+
+.. automodule:: dataprofiler.data_readers.graph_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.json_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.json_data.rst.txt
new file mode 100644
index 000000000..ae0a51d13
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.json_data.rst.txt
@@ -0,0 +1,7 @@
+JSON Data
+=========
+
+.. automodule:: dataprofiler.data_readers.json_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt
new file mode 100644
index 000000000..dfdcbe4bb
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.parquet_data.rst.txt
@@ -0,0 +1,7 @@
+Parquet Data
+============
+
+.. automodule:: dataprofiler.data_readers.parquet_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.rst.txt
new file mode 100644
index 000000000..56d68fe83
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.rst.txt
@@ -0,0 +1,30 @@
+Data Readers
+============
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.data_readers.avro_data
+   dataprofiler.data_readers.base_data
+   dataprofiler.data_readers.csv_data
+   dataprofiler.data_readers.data
+   dataprofiler.data_readers.data_utils
+   dataprofiler.data_readers.filepath_or_buffer
+   dataprofiler.data_readers.graph_data
+   dataprofiler.data_readers.json_data
+   dataprofiler.data_readers.parquet_data
+   dataprofiler.data_readers.structured_mixins
+   dataprofiler.data_readers.text_data
+
+.. automodule:: dataprofiler.data_readers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt
new file mode 100644
index 000000000..157e03d2c
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.structured_mixins.rst.txt
@@ -0,0 +1,7 @@
+Structured Mixins
+=================
+
+.. automodule:: dataprofiler.data_readers.structured_mixins
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.data_readers.text_data.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.data_readers.text_data.rst.txt
new file mode 100644
index 000000000..6ac6b9648
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.data_readers.text_data.rst.txt
@@ -0,0 +1,7 @@
+Text Data
+=========
+
+.. automodule:: dataprofiler.data_readers.text_data
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.dp_logging.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.dp_logging.rst.txt
new file mode 100644
index 000000000..d1c6c910d
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.dp_logging.rst.txt
@@ -0,0 +1,7 @@
+Dp Logging
+==========
+
+.. automodule:: dataprofiler.dp_logging
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt
new file mode 100644
index 000000000..839a74157
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.base_data_labeler.rst.txt
@@ -0,0 +1,7 @@
+Base Data Labeler
+=================
+
+.. automodule:: dataprofiler.labelers.base_data_labeler
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.base_model.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.base_model.rst.txt
new file mode 100644
index 000000000..c4bc9b08b
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.base_model.rst.txt
@@ -0,0 +1,7 @@
+Base Model
+==========
+
+.. automodule:: dataprofiler.labelers.base_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt
new file mode 100644
index 000000000..7dad3aa71
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.char_load_tf_model.rst.txt
@@ -0,0 +1,7 @@
+Char Load Tf Model
+==================
+
+.. automodule:: dataprofiler.labelers.char_load_tf_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt
new file mode 100644
index 000000000..80113a935
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt
@@ -0,0 +1,7 @@
+Character Level Cnn Model
+=========================
+
+.. automodule:: dataprofiler.labelers.character_level_cnn_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt
new file mode 100644
index 000000000..4c3624869
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.classification_report_utils.rst.txt
@@ -0,0 +1,7 @@
+Classification Report Utils
+===========================
+
+.. automodule:: dataprofiler.labelers.classification_report_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.column_name_model.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.column_name_model.rst.txt
new file mode 100644
index 000000000..e4a5bc988
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.column_name_model.rst.txt
@@ -0,0 +1,7 @@
+Column Name Model
+=================
+
+.. automodule:: dataprofiler.labelers.column_name_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.data_labelers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.data_labelers.rst.txt
new file mode 100644
index 000000000..6ac45d9e6
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.data_labelers.rst.txt
@@ -0,0 +1,7 @@
+Data Labelers
+=============
+
+.. automodule:: dataprofiler.labelers.data_labelers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.data_processing.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.data_processing.rst.txt
new file mode 100644
index 000000000..58d572a29
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.data_processing.rst.txt
@@ -0,0 +1,7 @@
+Data Processing
+===============
+
+.. automodule:: dataprofiler.labelers.data_processing
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt
new file mode 100644
index 000000000..f14cabd5c
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.labeler_utils.rst.txt
@@ -0,0 +1,7 @@
+Labeler Utils
+=============
+
+.. automodule:: dataprofiler.labelers.labeler_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.regex_model.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.regex_model.rst.txt
new file mode 100644
index 000000000..e85772ad2
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.regex_model.rst.txt
@@ -0,0 +1,7 @@
+Regex Model
+===========
+
+.. automodule:: dataprofiler.labelers.regex_model
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.rst.txt
new file mode 100644
index 000000000..7d660273e
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.rst.txt
@@ -0,0 +1,30 @@
+Labelers
+========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.labelers.base_data_labeler
+   dataprofiler.labelers.base_model
+   dataprofiler.labelers.char_load_tf_model
+   dataprofiler.labelers.character_level_cnn_model
+   dataprofiler.labelers.classification_report_utils
+   dataprofiler.labelers.column_name_model
+   dataprofiler.labelers.data_labelers
+   dataprofiler.labelers.data_processing
+   dataprofiler.labelers.labeler_utils
+   dataprofiler.labelers.regex_model
+   dataprofiler.labelers.utils
+
+.. automodule:: dataprofiler.labelers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.labelers.utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.labelers.utils.rst.txt
new file mode 100644
index 000000000..a0486f9be
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.labelers.utils.rst.txt
@@ -0,0 +1,7 @@
+Utils
+=====
+
+.. automodule:: dataprofiler.labelers.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt
new file mode 100644
index 000000000..13cab9ff4
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.base_column_profilers.rst.txt
@@ -0,0 +1,7 @@
+Base Column Profilers
+=====================
+
+.. automodule:: dataprofiler.profilers.base_column_profilers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt
new file mode 100644
index 000000000..a525d86c8
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.categorical_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Categorical Column Profile
+==========================
+
+.. automodule:: dataprofiler.profilers.categorical_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt
new file mode 100644
index 000000000..9599deb9a
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.column_profile_compilers.rst.txt
@@ -0,0 +1,7 @@
+Column Profile Compilers
+========================
+
+.. automodule:: dataprofiler.profilers.column_profile_compilers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt
new file mode 100644
index 000000000..282408931
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Data Labeler Column Profile
+===========================
+
+.. automodule:: dataprofiler.profilers.data_labeler_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt
new file mode 100644
index 000000000..d4467634f
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.datetime_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Datetime Column Profile
+=======================
+
+.. automodule:: dataprofiler.profilers.datetime_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt
new file mode 100644
index 000000000..d23bb4336
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.float_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Float Column Profile
+====================
+
+.. automodule:: dataprofiler.profilers.float_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt
new file mode 100644
index 000000000..196194771
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.graph_profiler.rst.txt
@@ -0,0 +1,7 @@
+Graph Profiler
+==============
+
+.. automodule:: dataprofiler.profilers.graph_profiler
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt
new file mode 100644
index 000000000..c20d1f391
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt
@@ -0,0 +1,7 @@
+Report Helpers
+==============
+
+.. automodule:: dataprofiler.profilers.helpers.report_helpers
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.rst.txt
new file mode 100644
index 000000000..b82f660b5
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.helpers.rst.txt
@@ -0,0 +1,20 @@
+Helpers
+=======
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.profilers.helpers.report_helpers
+
+.. automodule:: dataprofiler.profilers.helpers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt
new file mode 100644
index 000000000..039bb08d8
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.histogram_utils.rst.txt
@@ -0,0 +1,7 @@
+Histogram Utils
+===============
+
+.. automodule:: dataprofiler.profilers.histogram_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt
new file mode 100644
index 000000000..b6d8d7921
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.int_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Int Column Profile
+==================
+
+.. automodule:: dataprofiler.profilers.int_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.json_decoder.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.json_decoder.rst.txt
new file mode 100644
index 000000000..761551996
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.json_decoder.rst.txt
@@ -0,0 +1,7 @@
+JSON Decoder
+============
+
+.. automodule:: dataprofiler.profilers.json_decoder
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.json_encoder.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.json_encoder.rst.txt
new file mode 100644
index 000000000..bef659ecd
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.json_encoder.rst.txt
@@ -0,0 +1,7 @@
+JSON Encoder
+============
+
+.. automodule:: dataprofiler.profilers.json_encoder
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt
new file mode 100644
index 000000000..a8b6ac226
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.numerical_column_stats.rst.txt
@@ -0,0 +1,7 @@
+Numerical Column Stats
+======================
+
+.. automodule:: dataprofiler.profilers.numerical_column_stats
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt
new file mode 100644
index 000000000..7b1605659
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.order_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Order Column Profile
+====================
+
+.. automodule:: dataprofiler.profilers.order_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.profile_builder.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.profile_builder.rst.txt
new file mode 100644
index 000000000..d73e6d9a2
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.profile_builder.rst.txt
@@ -0,0 +1,7 @@
+Profile Builder
+===============
+
+.. automodule:: dataprofiler.profilers.profile_builder
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_options.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_options.rst.txt
new file mode 100644
index 000000000..127e8e1ad
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_options.rst.txt
@@ -0,0 +1,7 @@
+Profiler Options
+================
+
+.. automodule:: dataprofiler.profilers.profiler_options
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt
new file mode 100644
index 000000000..5e9c6533c
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.profiler_utils.rst.txt
@@ -0,0 +1,7 @@
+Profiler Utils
+==============
+
+.. automodule:: dataprofiler.profilers.profiler_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.rst.txt
new file mode 100644
index 000000000..7a5b45394
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.rst.txt
@@ -0,0 +1,39 @@
+Profilers
+=========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.profilers.helpers
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.profilers.base_column_profilers
+   dataprofiler.profilers.categorical_column_profile
+   dataprofiler.profilers.column_profile_compilers
+   dataprofiler.profilers.data_labeler_column_profile
+   dataprofiler.profilers.datetime_column_profile
+   dataprofiler.profilers.float_column_profile
+   dataprofiler.profilers.graph_profiler
+   dataprofiler.profilers.histogram_utils
+   dataprofiler.profilers.int_column_profile
+   dataprofiler.profilers.json_decoder
+   dataprofiler.profilers.json_encoder
+   dataprofiler.profilers.numerical_column_stats
+   dataprofiler.profilers.order_column_profile
+   dataprofiler.profilers.profile_builder
+   dataprofiler.profilers.profiler_options
+   dataprofiler.profilers.profiler_utils
+   dataprofiler.profilers.text_column_profile
+   dataprofiler.profilers.unstructured_labeler_profile
+   dataprofiler.profilers.unstructured_text_profile
+
+.. automodule:: dataprofiler.profilers
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt
new file mode 100644
index 000000000..097e6e02c
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.text_column_profile.rst.txt
@@ -0,0 +1,7 @@
+Text Column Profile
+===================
+
+.. automodule:: dataprofiler.profilers.text_column_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt
new file mode 100644
index 000000000..c49f68004
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt
@@ -0,0 +1,7 @@
+Unstructured Labeler Profile
+============================
+
+.. automodule:: dataprofiler.profilers.unstructured_labeler_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt
new file mode 100644
index 000000000..27b56ea93
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt
@@ -0,0 +1,7 @@
+Unstructured Text Profile
+=========================
+
+.. automodule:: dataprofiler.profilers.unstructured_text_profile
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.profilers.utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.profilers.utils.rst.txt
new file mode 100644
index 000000000..ddae85e63
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.profilers.utils.rst.txt
@@ -0,0 +1,7 @@
+Utils
+=====
+
+.. automodule:: dataprofiler.profilers.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.reports.graphs.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.reports.graphs.rst.txt
new file mode 100644
index 000000000..3a7adf900
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.reports.graphs.rst.txt
@@ -0,0 +1,7 @@
+Graphs
+======
+
+.. automodule:: dataprofiler.reports.graphs
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.reports.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.reports.rst.txt
new file mode 100644
index 000000000..59525629c
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.reports.rst.txt
@@ -0,0 +1,21 @@
+Reports
+=======
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.reports.graphs
+   dataprofiler.reports.utils
+
+.. automodule:: dataprofiler.reports
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.reports.utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.reports.utils.rst.txt
new file mode 100644
index 000000000..97e26cde0
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.reports.utils.rst.txt
@@ -0,0 +1,7 @@
+Utils
+=====
+
+.. automodule:: dataprofiler.reports.utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.rng_utils.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.rng_utils.rst.txt
new file mode 100644
index 000000000..e4b84b46a
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.rng_utils.rst.txt
@@ -0,0 +1,7 @@
+Rng Utils
+=========
+
+.. automodule:: dataprofiler.rng_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.rst.txt
new file mode 100644
index 000000000..d5ed33a58
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.rst.txt
@@ -0,0 +1,28 @@
+Dataprofiler
+============
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.data_readers
+   dataprofiler.labelers
+   dataprofiler.profilers
+   dataprofiler.reports
+   dataprofiler.validators
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.dp_logging
+   dataprofiler.rng_utils
+   dataprofiler.settings
+   dataprofiler.version
+
+.. automodule:: dataprofiler
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.settings.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.settings.rst.txt
new file mode 100644
index 000000000..81c664c07
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.settings.rst.txt
@@ -0,0 +1,7 @@
+Settings
+========
+
+.. automodule:: dataprofiler.settings
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.validators.base_validators.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.validators.base_validators.rst.txt
new file mode 100644
index 000000000..b8f328736
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.validators.base_validators.rst.txt
@@ -0,0 +1,7 @@
+Base Validators
+===============
+
+.. automodule:: dataprofiler.validators.base_validators
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/dataprofiler.validators.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.validators.rst.txt
new file mode 100644
index 000000000..704dfee21
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.validators.rst.txt
@@ -0,0 +1,20 @@
+Validators
+==========
+
+
+Modules
+-------
+
+.. toctree::
+   :maxdepth: 4
+
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler.validators.base_validators
+
+.. automodule:: dataprofiler.validators
+   :members:
+   :undoc-members:
+   :show-inheritance:
diff --git a/docs/0.10.3/html/_sources/dataprofiler.version.rst.txt b/docs/0.10.3/html/_sources/dataprofiler.version.rst.txt
new file mode 100644
index 000000000..3977b6379
--- /dev/null
+++ b/docs/0.10.3/html/_sources/dataprofiler.version.rst.txt
@@ -0,0 +1,7 @@
+Version
+=======
+
+.. automodule:: dataprofiler.version
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/examples.rst.txt b/docs/0.10.3/html/_sources/examples.rst.txt
new file mode 100644
index 000000000..3637da6ac
--- /dev/null
+++ b/docs/0.10.3/html/_sources/examples.rst.txt
@@ -0,0 +1,24 @@
+.. _examples:
+
+Examples
+********
+
+These examples provide a more in-depth look into the details of the ``Data Profiler`` library.
+
+Basics
+------
+
+.. toctree::
+   :maxdepth: 0
+
+   Overview of Data Profiler<overview>
+   Data Reader<data_reader>
+   Structured Profiler<profiler_example>
+   Unstructured Profiler<unstructured_profiler_example>
+   Graph Profiler<graph_data_demo>
+   Labeler<labeler>
+   Adding Models to a Labeler Pipeline<add_new_model_to_data_labeler>
+   Creating a Regex Labeler<regex_labeler_from_scratch>
+   Creating a ColumnName Labeler<column_name_labeler_example>
+   Merge Profile List<merge_profile_list>
+   Dataloader with Popmon Reports<popmon_dp_loader_example>
diff --git a/docs/0.10.3/html/_sources/graph_data_demo.nblink.txt b/docs/0.10.3/html/_sources/graph_data_demo.nblink.txt
new file mode 100644
index 000000000..e627c61f8
--- /dev/null
+++ b/docs/0.10.3/html/_sources/graph_data_demo.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/graph_data_demo.ipynb"
+}
diff --git a/docs/0.10.3/html/_sources/graphs.rst.txt b/docs/0.10.3/html/_sources/graphs.rst.txt
new file mode 100644
index 000000000..23c2d316b
--- /dev/null
+++ b/docs/0.10.3/html/_sources/graphs.rst.txt
@@ -0,0 +1,196 @@
+.. _reports:
+
+Graphs
+******
+
+Graph Your Data
+===============
+
+We can plot some of our data as seaborn histogram plots. Below will demonstrate how to do so and provide examples.
+
+The following plots are currently available to work directly with your profilers:
+
+ * histogram (numeric columns only)
+ * missing values matrix
+
+Below shows how to do so with examples.
+
+What we need to import
+~~~~~~~~~~~~~~~~~~~~~~
+.. code-block:: python
+
+    from dataprofiler.reports import graphs
+
+The main functions that is used to plot histograms are in graphs. **You will also need the `dataprofiler[reports]` requirement to be installed**:
+
+.. code-block:: console
+
+    pip install 'dataprofiler[reports]'
+
+Plotting from a StructuredProfiler class
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+With a StructuredProfiler class variable, we can specify what columns we want to be plotted, and plot them into histograms.
+
+.. code-block:: python
+
+    graphs.plot_histograms(profiler, column_names, column_inds)
+
+These are what the variables mean:
+
+    * **profiler** - StructuredProfiler class variable that contains the data we want
+    * **columns** - (Optional) The list of IntColumn or FloatColumn *names* we want to specifically plot. If specified, `column_inds` cannot be specified.
+    * **column_inds** - (Optional) The list of IntColumn or FloatColumn *indexes* we want to specifically plot. If specified, `column_names` cannot be specified.
+
+
+Additionally, we can also plot the missing values matrix for a StructuredProfiler:
+
+.. code-block:: python
+
+    graphs.plot_missing_values_matrix(profiler, ax, title)
+
+These are what the variables mean:
+
+    * **profiler** - StructuredProfiler class variable that contains the data we want
+    * **ax** - (Optional) MatPlotLib Axes to plot the matrix within.
+    * **title** - (Optional) The title of the axes we want to define.
+
+
+Plotting an individual IntColumn or FloatColumn
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+With a column's Int or Float profile, we can plot their respective histograms.
+
+.. code-block:: python
+
+    graphs.plot_col_histogram(column, axes, title)
+
+These are what the variables mean:
+
+    * **column** - The IntColumn or FloatColumn we want to plot
+    * **axes** - (Optional) The MatPlotLib Axes to plot the histogram within.
+    * **title** - (Optional) The title of the axes we want to define.
+
+
+Additionally, we can also plot the missing values bargraph for any column profile:
+
+.. code-block:: python
+
+    graphs.plot_col_missing_values(profiler, ax, title)
+
+These are what the variables mean:
+
+    * **profiler** - The StructuredColProfiler we want to plot
+    * **ax** - (Optional) MatPlotLib Axes to plot the matrix within.
+    * **title** - (Optional) The title of the axes we want to define.
+
+Examples
+~~~~~~~~
+
+Histograms
+----------
+
+1. This example demonstrates how we can take a StructuredProfiler class and plot histograms of the specified columns.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    from dataprofiler.reports import graphs
+    
+
+    data = [[1, 'a', 1.0],
+            [2, 'b', 2.2],
+            [3, 'c', 3.5],
+            [None, 'd', 10.0]]
+    profiler = dp.StructuredProfiler(data)
+
+    # This will plot all IntColumn and FloatColumn as histograms (The first and last column).
+    fig = graphs.plot_histograms(profiler)
+    fig.show()
+
+    # This will only plot the specified column, 0.
+    columns_names = [0]
+    fig = graphs.plot_histograms(profiler, columns_names)
+    fig.show()
+
+.. image:: _static/images/histogram_example_0.png
+    :alt: First Histogram Example Image
+
+.. image:: _static/images/histogram_example_1.png
+    :alt: Second Histogram Example Image
+
+2. This example demonstrates how we can plot a low level profiler.
+
+.. code-block:: python
+
+    import pandas as pd
+    
+    from dataprofiler.profilers import IntColumn
+    from dataprofiler.reports import graphs
+    
+
+    data = pd.Series([1, 2, 3], dtype=str)
+    profiler = IntColumn('example')
+    profiler.update(data)
+
+    # Plot the axes
+    ax = graphs.plot_col_histogram(profiler)
+    
+    # get and show the figure of the plotted histogram
+    fig = ax.get_figure()
+    fig.show()
+
+.. image:: _static/images/histogram_example_2.png
+    :alt: Histogram Column Only Example Image
+
+
+Missing Values Matrix
+---------------------
+
+1. This example demonstrates how we can take a StructuredProfiler class and plot a missing values matrix.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    from dataprofiler.reports import graphs
+
+
+    data = pd.DataFrame(
+        [[None, '', 1.0, '1/2/2021'],
+         [3, None, 3.5, ''],
+         [1, None, 1.0, '2/5/2020'],
+         [None, 1, 10.0, '3/5/2020']],
+        columns=['integer', 'str', 'float', 'datetime'],
+        dtype=object
+    )
+    profiler = dp.StructuredProfiler(data)
+
+    # This will plot the missing values matrix for all columns.
+    fig = graphs.plot_missing_values_matrix(profiler)
+    fig.show()
+
+.. image:: _static/images/missing_value_matrix_example_0.png
+    :alt: Missing Values Matrix Example Image
+
+2. This example demonstrates how we can plot barchart of a column's missing values.
+
+.. code-block:: python
+
+    import pandas as pd
+
+    from dataprofiler.profilers.profile_builder import StructuredColProfiler
+    from dataprofiler.reports import graphs
+
+
+    data = pd.Series([1, 2, 3, None, None, 4], name='example', dtype=str)
+    profiler = StructuredColProfiler(data)
+
+    # Plot the axes, can be a list of multiple columns
+    ax = graphs.plot_col_missing_values([profiler])
+
+    # get and show the figure of the plotted histogram
+    fig = ax.get_figure()
+    fig.show()
+
+.. image:: _static/images/missing_value_barchart_example_0.png
+    :alt: Missing Values Column Only Example Image
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/index.rst.txt b/docs/0.10.3/html/_sources/index.rst.txt
new file mode 100644
index 000000000..9f3bb4369
--- /dev/null
+++ b/docs/0.10.3/html/_sources/index.rst.txt
@@ -0,0 +1,580 @@
+.. _Data Profiler:
+
+====================================
+Data Profiler | What's in your data?
+====================================
+
+Purpose
+=======
+
+The DataProfiler is a Python library designed to make data analysis, monitoring and **sensitive data detection** easy.
+
+Loading **Data** with a single command, the library automatically formats & loads files into a DataFrame. **Profiling** the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstream applications or reports.
+
+The Data Profiler comes with a cutting edge pre-trained deep learning model, used to efficiently identify **sensitive data** (or **PII**). If customization is needed, it's easy to add new entities to the existing pre-trained model or insert a new pipeline for entity recognition.
+
+The best part? Getting started only takes a few lines of code (`Example CSV`_):
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+    
+    data = Data("your_file.csv") # Auto-Detect & Load: CSV, AVRO, Parquet, JSON, Text
+    print(data.data.head(5)) # Access data directly via a compatible Pandas DataFrame
+    
+    profile = Profiler(data) # Calculate Statistics, Entity Recognition, etc
+    readable_report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(readable_report, indent=4))
+
+
+To install the full package from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler[ml]
+
+If the ML requirements are too strict (say, you don't want to install tensorflow), you can install a slimmer package. The slimmer package disables the default sensitive data detection / entity recognition (labler)
+
+Install from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler
+
+If you have suggestions or find a bug, please open an `issue`_.
+
+Visit the :ref:`API<API>` to explore Data Profiler's terminology.
+
+
+What is a Data Profile?
+=======================
+
+In the case of this library, a data profile is a dictionary containing statistics and predictions about the underlying dataset. There are "global statistics" or `global_stats`, which contain dataset level data and there are "column/row level statistics" or `data_stats` (each column is a new key-value entry). 
+
+The format for a structured profile is below:
+
+.. code-block:: python
+
+    "global_stats": {
+        "samples_used": int,
+        "column_count": int,
+        "row_count": int,
+        "row_has_null_ratio": float,
+        "row_is_null_ratio": float,    
+        "unique_row_ratio": float,
+        "duplicate_row_count": int,
+        "file_type": string,
+        "encoding": string,
+        "correlation_matrix": list[list[int]], (*)
+        "chi2_matrix": list[list[float]],
+        "profile_schema": dict[string, list[int]]
+    },
+    "data_stats": [
+        {
+            "column_name": string,
+            "data_type": string,
+            "data_label": string,
+            "categorical": bool,
+            "order": string,
+            "samples": list[str],
+            "statistics": {
+                "sample_size": int,
+                "null_count": int,
+                "null_types": list[string],
+                "null_types_index": dict[string, list[int]],
+                "data_type_representation": dict[string, list[string]],
+                "min": [null, float],
+                "max": [null, float],
+                "sum": float,
+                "mode": list[float],
+                "median": float,
+                "median_absolute_deviation": float,
+                "mean": float,
+                "variance": float,
+                "stddev": float,
+                "skewness": float,
+                "kurtosis": float,
+                "num_zeros": int,
+                "num_negatives": int,
+                "histogram": { 
+                    "bin_counts": list[int],
+                    "bin_edges": list[float],
+                },
+                "quantiles": {
+                    int: float
+                },
+                "vocab": list[char],
+                "avg_predictions": dict[string, float], 
+                "data_label_representation": dict[string, float],
+                "categories": list[str],
+                "unique_count": int,
+                "unique_ratio": float,
+                "categorical_count": dict[string, int],
+                "gini_impurity": float,
+                "unalikeability": float,
+                "precision": {
+                    'min': int,
+                    'max': int,
+                    'mean': float,
+                    'var': float,
+                    'std': float,
+                    'sample_size': int,
+                    'margin_of_error': float,
+                    'confidence_level': float		
+                },
+                "times": dict[string, float],
+                "format": string
+            },
+            "null_replication_metrics": {
+                "class_prior": list[int],
+                "class_sum": list[list[int]],
+                "class_mean": list[list[int]]
+            }
+        }
+    ]
+
+(*) Currently the correlation matrix update is toggled off. It will be reset in a later update. Users can still use it as desired with the is_enable option set to True.
+
+The format for an unstructured profile is below:
+
+.. code-block:: python
+
+    "global_stats": {
+        "samples_used": int,
+        "empty_line_count": int,
+        "file_type": string,
+        "encoding": string,
+        "memory_size": float, # in MB
+    },
+    "data_stats": {
+        "data_label": {
+            "entity_counts": {
+                "word_level": dict[string, int],
+                "true_char_level": dict[string, int],
+                "postprocess_char_level": dict[string, int]
+            },
+            "entity_percentages": {
+                "word_level": dict[string, float],
+                "true_char_level": dict[string, float],
+                "postprocess_char_level": dict[string, float]
+            },
+            "times": dict[string, float]
+        },
+        "statistics": {
+            "vocab": list[char],
+            "vocab_count": dict[string, int],
+            "words": list[string],
+            "word_count": dict[string, int],
+            "times": dict[string, float]
+        }
+    }
+
+The format for a graph profile is below:
+
+.. code-block:: python
+    
+    "num_nodes": int,
+    "num_edges": int,
+    "categorical_attributes": list[string],
+    "continuous_attributes": list[string],
+    "avg_node_degree": float,
+    "global_max_component_size": int,
+    "continuous_distribution": {
+        "<attribute_1>": {
+            "name": string,
+            "scale": float,
+            "properties": list[float, np.array]
+        },
+        "<attribute_2>": None,
+    },
+    "categorical_distribution": {
+        "<attribute_1>": None,
+        "<attribute_2>": {
+            "bin_counts": list[int],
+            "bin_edges": list[float]
+        },
+    }, 
+    "times": dict[string, float]
+
+Supported Data Formats
+~~~~~~~~~~~~~~~~~~~~~~
+
+* Any delimited file (CSV, TSV, etc.)
+* JSON object
+* Avro file
+* Parquet file
+* Text file
+* Pandas DataFrame
+* A URL that points to one of the supported file types above
+
+
+Data Labels
+~~~~~~~~~~~
+
+*Data Labels* are determined per cell for structured data (column/row when the *profiler* is used) or at the character level for unstructured data.
+
+* UNKNOWN
+* ADDRESS
+* BAN (bank account number, 10-18 digits)
+* CREDIT_CARD
+* EMAIL_ADDRESS
+* UUID 
+* HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)
+* IPV4
+* IPV6
+* MAC_ADDRESS
+* PERSON
+* PHONE_NUMBER
+* SSN
+* URL
+* US_STATE
+* DRIVERS_LICENSE
+* DATE
+* TIME
+* DATETIME
+* INTEGER
+* FLOAT
+* QUANTITY
+* ORDINAL
+
+
+Get Started
+===========
+
+Load a File
+~~~~~~~~~~~
+
+The profiler should automatically identify the file type and load the data into a `Data Class`.
+
+Along with other attributtes the `Data class` enables structured data to be accessed via a valid Pandas DataFrame.
+
+.. code-block:: python
+
+    # Load a csv file, return a CSVData object
+    csv_data = Data('your_file.csv') 
+
+    # Print the first 10 rows of the csv file
+    print(csv_data.data.head(10))
+
+    # Load a parquet file, return a ParquetData object
+    parquet_data = Data('your_file.parquet')
+
+    # Sort the data by the name column
+    parquet_data.data.sort_values(by='name', inplace=True)
+
+    # Print the sorted first 10 rows of the parquet data
+    print(parquet_data.data.head(10))
+
+
+If the file type is not automatically identified (rare), you can specify them 
+specifically, see section Data Readers.
+
+Profile a File 
+~~~~~~~~~~~~~~
+
+Example uses a CSV file for example, but CSV, JSON, Avro, Parquet or Text should also work.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load file (CSV should be automatically identified)
+    data = Data("your_file.csv") 
+
+    # Profile the dataset
+    profile = Profiler(data)
+
+    # Generate a report and use json to prettify.
+    report  = profile.report(report_options={"output_format":"pretty"})
+
+    # Print the report
+    print(json.dumps(report, indent=4))
+
+Updating Profiles
+~~~~~~~~~~~~~~~~~
+
+Currently, the data profiler is equipped to update its profile in batches.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load and profile a CSV file
+    data = Data("your_file.csv")
+    profile = Profiler(data)
+
+    # Update the profile with new data:
+    new_data = Data("new_data.csv")
+    profile.update_profile(new_data)
+
+    # Print the report using json to prettify.
+    report  = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Merging Profiles
+~~~~~~~~~~~~~~~~
+
+If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator. 
+
+This also enables profiles to be determined in a distributed manner.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file with a schema
+    data1 = Data("file_a.csv")
+    profile1 = Profiler(data)
+
+    # Load another CSV file with the same schema
+    data2 = Data("file_b.csv")
+    profile2 = Profiler(data)
+
+    profile3 = profile1 + profile2
+
+    # Print the report using json to prettify.
+    report  = profile3.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+Profile a Pandas DataFrame
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    import pandas as pd
+    import dataprofiler as dp
+    import json
+
+    my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]])
+    profile = dp.Profiler(my_dataframe)
+
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+    # read a specified column, in this case it is labeled 0:
+    print(json.dumps(report["data stats"][0], indent=4))
+
+
+Unstructured Profiler
+~~~~~~~~~~~~~~~~~~~~~
+
+In addition to the structured profiler, the Data Profiler provides unstructured 
+profiling for the TextData object or string. Unstructured profiling also works 
+with list(string), pd.Series(string) or pd.DataFrame(string) given profiler_type
+option specified as `unstructured`. Below is an example of unstructured profile 
+with a text file. 
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    import json
+    my_text = dp.Data('text_file.txt')
+    profile = dp.Profiler(my_text)
+    
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+    
+Another example of unstructured profile with pd.Series of string is given as below
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    import pandas as pd
+    import json
+    
+    text_data = pd.Series(['first string', 'second string'])
+    profile = dp.Profiler(text_data, profiler_type="unstructured")
+    
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format":"pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Graph Profiler
+~~~~~~~~~~~~~~
+
+DataProfiler also provides the ability to profile graph data from a csv file. Below is an example of the graph profiler with a graph data csv file:
+
+.. code-block:: python
+
+    import dataprofiler as dp
+    import pprint
+
+    my_graph = dp.Data('graph_file.csv')
+    profile = dp.Profiler(my_graph)
+
+    # print the report using pretty print (json dump does not work on numpy array values inside dict)
+    report = profile.report()
+    printer = pprint.PrettyPrinter(sort_dicts=False, compact=True)
+    printer.pprint(report)
+
+
+Specifying a Filetype or Delimiter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Example of specifying a CSV data type, with a `,` delimiter.
+In addition, it utilizes only the first 10,000 rows.
+
+.. code-block:: python
+
+    import json
+    import os
+    from dataprofiler import Data, Profiler
+    from dataprofiler.data_readers.csv_data import CSVData
+
+    # Load a CSV file, with "," as the delimiter
+    data = CSVData("your_file.csv", options={"delimiter": ","})
+
+    # Split the data, such that only the first 10,000 rows are used
+    data = data.data[0:10000]
+
+    # Read in profile and print results
+    profile = Profiler(data)
+    print(json.dumps(profile.report(report_options={"output_format":"pretty"}), indent=4))
+
+
+.. toctree::
+   :maxdepth: 2
+   :hidden:
+   :caption: Getting Started:
+
+   Intro<self>
+   install.rst
+   data_readers.rst
+   profiler.rst
+   data_labeling.rst
+   graphs.rst
+
+.. toctree::
+   :maxdepth: 2
+   :hidden:
+   :caption: User Guide:
+
+   examples.rst
+   API.rst
+
+.. toctree::
+   :maxdepth: 2
+   :hidden:
+   :caption: Community:
+
+   Changelog<https://github.com/capitalone/DataProfiler/releases>
+   Feedback<https://github.com/capitalone/DataProfiler/issues/new/choose>
+   GitHub<https://github.com/capitalone/DataProfiler>
+   Contributing<https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md>
+
+.. _Example CSV: https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv
+.. _issue: https://github.com/capitalone/DataProfiler/issues/new/choose
+
+Versions
+========
+* `0.10.3`_
+* `0.10.2`_
+* `0.10.1`_
+* `0.10.0`_
+* `0.9.0`_
+* `0.8.9`_
+* `0.8.8`_
+* `0.8.7`_
+* `0.8.6`_
+* `0.8.5`_
+* `0.8.4`_
+* `0.8.3`_
+* `0.8.2`_
+* `0.8.1`_
+* `0.8.0`_
+* `0.7.11`_
+* `0.7.10`_
+* `0.7.9`_
+* `0.7.8`_
+* `0.7.7`_
+* `0.7.6`_
+* `0.7.2`_
+* `0.7.1`_
+* `0.7.0`_
+* `0.6.0`_
+* `0.5.3`_
+* `0.5.2`_
+* `0.5.1`_
+* `0.5.0`_
+* `0.4.7`_
+* `0.4.6`_
+* `0.4.5`_
+* `0.4.4`_
+* `0.4.3`_
+* `0.3.0`_
+
+.. _0.3.0: ../../v0.3/html/index.html
+.. _0.4.3: ../../0.4.3/html/index.html
+
+.. _0.4.4: ../../0.4.4/html/index.html
+
+.. _0.4.5: ../../0.4.5/html/index.html
+
+.. _0.4.6: ../../0.4.6/html/index.html
+
+.. _0.4.7: ../../0.4.7/html/index.html
+
+.. _0.5.0: ../../0.5.0/html/index.html
+
+.. _0.5.1: ../../0.5.1/html/index.html
+
+.. _0.5.2: ../../0.5.2/html/index.html
+
+.. _0.5.3: ../../0.5.3/html/index.html
+.. _0.6.0: ../../0.6.0/html/index.html
+
+.. _0.7.0: ../../0.7.0/html/index.html
+
+.. _0.7.1: ../../0.7.1/html/index.html
+.. _0.7.2: ../../0.7.2/html/index.html
+
+.. _0.7.6: ../../0.7.6/html/index.html
+
+.. _0.7.7: ../../0.7.7/html/index.html
+
+.. _0.7.8: ../../0.7.8/html/index.html
+
+.. _0.7.9: ../../0.7.9/html/index.html
+
+.. _0.7.10: ../../0.7.10/html/index.html
+
+.. _0.7.11: ../../0.7.11/html/index.html
+
+.. _0.8.0: ../../0.8.0/html/index.html
+
+.. _0.8.1: ../../0.8.1/html/index.html
+
+.. _0.8.2: ../../0.8.2/html/index.html
+
+.. _0.8.3: ../../0.8.3/html/index.html
+
+.. _0.8.4: ../../0.8.4/html/index.html
+
+.. _0.8.5: ../../0.8.5/html/index.html
+
+.. _0.8.6: ../../0.8.6/html/index.html
+
+.. _0.8.7: ../../0.8.7/html/index.html
+
+.. _0.8.8: ../../0.8.8/html/index.html
+
+.. _0.8.9: ../../0.8.9/html/index.html
+
+.. _0.9.0: ../../0.9.0/html/index.html
+
+.. _0.10.0: ../../0.10.0/html/index.html
+
+.. _0.10.1: ../../0.10.1/html/index.html
+
+.. _0.10.2: ../../0.10.2/html/index.html
+
+.. _0.10.3: ../../0.10.3/html/index.html
+
diff --git a/docs/0.10.3/html/_sources/install.rst.txt b/docs/0.10.3/html/_sources/install.rst.txt
new file mode 100644
index 000000000..9db049e92
--- /dev/null
+++ b/docs/0.10.3/html/_sources/install.rst.txt
@@ -0,0 +1,138 @@
+.. _install:
+
+Install
+*******
+
+To install the full package from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler[ml]
+
+If the ML requirements are too strict (say, you don't want to install 
+tensorflow), you can install a slimmer package. The slimmer package disables 
+the default sensitive data detection / entity recognition (labler)
+
+Install from pypi: 
+
+.. code-block:: console
+
+    pip install DataProfiler
+
+Snappy Installation
+===================
+
+This is required to profile parquet/avro datasets
+
+MacOS with homebrew:
+
+.. code-block:: console
+
+    brew install snappy && CPPFLAGS="-I/usr/local/include -L/usr/local/lib" pip install python-snappy
+
+
+Linux install:
+
+.. code-block:: console
+
+    sudo apt-get -y install libsnappy-dev
+
+
+Build From Scratch
+==================
+
+NOTE: Installation for python3
+
+virtualenv install:
+
+.. code-block:: console
+    
+    python3 -m pip install virtualenv
+
+
+Setup virtual env:
+
+.. code-block:: console
+
+    python3 -m virtualenv --python=python3 venv3
+    source venv3/bin/activate
+
+
+Install requirements:
+
+.. code-block:: console
+
+    pip3 install -r requirements.txt
+
+Install labeler dependencies:
+
+.. code-block:: console
+
+    pip3 install -r requirements-ml.txt
+
+
+Install via the repo -- Build setup.py and install locally:
+
+.. code-block:: console
+
+    python3 setup.py sdist bdist bdist_wheel
+    pip3 install dist/DataProfiler*-py3-none-any.whl
+
+
+If you see:
+
+.. code-block:: console
+
+    ERROR: Double requirement given:dataprofiler==X.Y.Z from dataprofiler/dist/DataProfiler-X.Y.Z-py3-none-any.whl (already in dataprofiler==X2.Y2.Z2 from dataprofiler/dist/DataProfiler-X2.Y2.Z2-py3-none-any.whl, name='dataprofiler')
+
+This means that you have multiple versions of the DataProfiler distribution 
+in the dist folder.
+To resolve, either remove the older one or delete the folder and rerun the steps
+above.
+
+Install via github:
+
+.. code-block:: console
+
+    pip3 install git+https://github.com/capitalone/dataprofiler.git#egg=dataprofiler
+
+
+
+Testing
+=======
+
+For testing, install test requirements:
+
+.. code-block:: console
+
+    pip3 install -r requirements-test.txt
+
+
+To run all unit tests, use:
+
+.. code-block:: console
+
+    DATAPROFILER_SEED=0 python3 -m unittest discover -p "test*.py"
+
+
+To run file of unit tests, use form:
+
+.. code-block:: console
+
+    DATAPROFILER_SEED=0 python3 -m unittest discover -p test_profile_builder.py
+
+
+To run a file with Pytest use:
+
+.. code-block:: console
+
+    DATAPROFILER_SEED=0 pytest dataprofiler/tests/data_readers/test_csv_data.py -v
+
+
+To run individual of unit test, use form:
+
+.. code-block:: console
+    
+    DATAPROFILER_SEED=0 python3 -m unittest dataprofiler.tests.profilers.test_profile_builder.TestProfiler
+
+
diff --git a/docs/0.10.3/html/_sources/labeler.nblink.txt b/docs/0.10.3/html/_sources/labeler.nblink.txt
new file mode 100644
index 000000000..bed6517bf
--- /dev/null
+++ b/docs/0.10.3/html/_sources/labeler.nblink.txt
@@ -0,0 +1,6 @@
+{
+    "path": "../../feature_branch/examples/labeler.ipynb",
+    "extra-media": [
+        "../../feature_branch/examples/DL-Flowchart.png"
+  ]
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/merge_profile_list.nblink.txt b/docs/0.10.3/html/_sources/merge_profile_list.nblink.txt
new file mode 100644
index 000000000..50698d637
--- /dev/null
+++ b/docs/0.10.3/html/_sources/merge_profile_list.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/merge_profile_list.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/modules.rst.txt b/docs/0.10.3/html/_sources/modules.rst.txt
new file mode 100644
index 000000000..0593459df
--- /dev/null
+++ b/docs/0.10.3/html/_sources/modules.rst.txt
@@ -0,0 +1,7 @@
+dataprofiler
+============
+
+.. toctree::
+   :maxdepth: 4
+
+   dataprofiler
diff --git a/docs/0.10.3/html/_sources/overview.nblink.txt b/docs/0.10.3/html/_sources/overview.nblink.txt
new file mode 100644
index 000000000..3d9f89d3d
--- /dev/null
+++ b/docs/0.10.3/html/_sources/overview.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/intro_data_profiler.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/popmon_dp_loader_example.nblink.txt b/docs/0.10.3/html/_sources/popmon_dp_loader_example.nblink.txt
new file mode 100644
index 000000000..3beced0ab
--- /dev/null
+++ b/docs/0.10.3/html/_sources/popmon_dp_loader_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/popmon_dp_loader_example.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/profiler.rst.txt b/docs/0.10.3/html/_sources/profiler.rst.txt
new file mode 100644
index 000000000..b51a72313
--- /dev/null
+++ b/docs/0.10.3/html/_sources/profiler.rst.txt
@@ -0,0 +1,962 @@
+.. _profiler:
+
+Profiler
+********
+
+Profile Your Data
+=================
+
+Profiling your data is easy. Just use the data reader, send the data to the 
+profiler, and print out the report.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+    
+    data = Data("your_file.csv") # Auto-Detect & Load: CSV, AVRO, Parquet, JSON, Text
+    
+    profile = Profiler(data) # Calculate Statistics, Entity Recognition, etc
+    
+    readable_report = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(readable_report, indent=4))
+
+If the data is structured, the profile will return global statistics as well as
+column by column statistics. The vast amount of statistics are listed on the 
+intro page.
+
+Load a File
+~~~~~~~~~~~
+
+The profiler should automatically identify the file type and load the data into a `Data Class`.
+
+Along with other attributtes the `Data class` enables structured data to be accessed via a valid Pandas DataFrame.
+
+.. code-block:: python
+
+    # Load a csv file, return a CSVData object
+    csv_data = Data('your_file.csv') 
+
+    # Print the first 10 rows of the csv file
+    print(csv_data.data.head(10))
+
+    # Load a parquet file, return a ParquetData object
+    parquet_data = Data('your_file.parquet')
+
+    # Sort the data by the name column
+    parquet_data.data.sort_values(by='name', inplace=True)
+
+    # Print the sorted first 10 rows of the parquet data
+    print(parquet_data.data.head(10))
+
+
+If the file type is not automatically identified (rare), you can specify them 
+specifically, see section Data Readers.
+
+Profile a File 
+~~~~~~~~~~~~~~
+
+Example uses a CSV file for example, but CSV, JSON, Avro or Parquet should also work.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load file (CSV should be automatically identified)
+    data = Data("your_file.csv") 
+
+    # Profile the dataset
+    profile = Profiler(data)
+
+    # Generate a report and use json to prettify.
+    report  = profile.report(report_options={"output_format": "pretty"})
+
+    # Print the report
+    print(json.dumps(report, indent=4))
+
+Updating Profiles
+~~~~~~~~~~~~~~~~~
+
+Currently, the data profiler is equipped to update its profile in batches.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load and profile a CSV file
+    data = Data("your_file.csv")
+    profile = Profiler(data)
+
+    # Update the profile with new data:
+    new_data = Data("new_data.csv")
+    profile.update_profile(new_data)
+
+    # Print the report using json to prettify.
+    report  = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Merging Profiles
+~~~~~~~~~~~~~~~~
+
+If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator. 
+
+This also enables profiles to be determined in a distributed manner.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file with a schema
+    data1 = Data("file_a.csv")
+    profile1 = Profiler(data)
+
+    # Load another CSV file with the same schema
+    data2 = Data("file_b.csv")
+    profile2 = Profiler(data)
+
+    profile3 = profile1 + profile2
+
+    # Print the report using json to prettify.
+    report  = profile3.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Profile Differences
+~~~~~~~~~~~~~~~~~~~
+
+Profile differences take two profiles and find the differences
+between them. Create the difference report like this:
+
+.. code-block:: python
+
+    from dataprofiler import Data, Profiler
+    
+    # Load a CSV file
+    data1 = Data("file_a.csv")
+    profile1 = Profiler(data)
+    
+    # Load another CSV file
+    data2 = Data("file_b.csv")
+    profile2 = Profiler(data)
+    
+    diff_report = profile1.diff(profile2)
+    print(diff_report)
+    
+The `.diff()` operation is available between two profiles, although there are different
+outputs depending on the type of profile being differenced. For example, for numerical
+column profiles (e.g. integers and floats), two valuable calculations that 
+`.diff()` returns are `t-test`, `chi2-test`, and `psi` (Popoulation Stability Index)
+for understanding distributional changes.
+
+The difference report contains a dictionary that mirrors the profile report. 
+Each data type has its own difference:
+
+* **Int/Float** - One profile subtracts the value from the other.
+
+* **String** - The strings will be shown in a list:
+
+  - [profile1 str, profile2 str]
+* **List** - A list of 3 will be returned showing the unique values of
+  each profile and the shared values:
+
+  - [profile 1 unique values, shared values, profile 2 unique values]
+* **Dict** - Some dictionaries with varied keys will also return a list
+  of three in the format:
+
+  - [profile 1 unique key-values, shared key differences, profile 2 unique key-values]
+
+Otherwise, when no differences occur:
+
+* **Any Type No Differences** - A string will report: "unchanged".
+
+Below is the structured difference report:
+
+.. code-block:: python
+
+    {
+        'global_stats': {
+            'file_type': [str, str], 
+            'encoding': [str, str],
+            'samples_used': int, 
+            'column_count': int,
+            'row_count': int, 
+            'row_has_null_ratio': float,
+            'row_is_null_ratio': float,
+            'unique_row_ratio': float,
+            'duplicate_row_count': int,
+            'correlation_matrix': list[list[float]],
+            'chi2_matrix': list[list[float]],
+            'profile_schema': list[dict[str, int]]
+        },
+        'data_stats': [{
+            'column_name': str, 
+            'data_type': [str, str],
+            'data_label': [list[str], list[str], list[str]],
+            'categorical': [str, str],
+            'order': [str, str],
+            'statistics': {
+                'min': float,
+                'max': float,
+                'sum': float,
+                'mean': float,
+                'median': float,
+                'mode': [list[float], list[float], list[float]],
+                'median_absolute_deviation': float,
+                'variance': float,
+                'stddev': float,
+                't-test': {
+                    't-statistic': float,
+                    'conservative': {'df': int,
+                                     'p-value': float},
+                    'welch': {'df': float,
+                              'p-value': float}},
+                'psi': float,
+                "chi2-test": {
+                    "chi2-statistic": float,
+                    "df": int,
+                    "p-value": float
+                },
+                'unique_count': int,
+                'unique_ratio': float,
+                'categories': [list[str], list[str], list[str]],
+                'gini_impurity': float,
+                'unalikeability': float,
+                'categorical_count': [dict[str, int], dict[str, int], dict[str, int]],
+                'avg_predictions': [dict[str, float]],
+                'label_representation': [dict[str, float]],
+                'sample_size': int,
+                'null_count': int,
+                'null_types': [list[str], list[str], list[str]],
+                'null_types_index': [dict[str, int], dict[str, int], dict[str, int]],
+                'data_type_representation': [dict[str, float]]
+            },
+            "null_replication_metrics": {
+                "class_prior": list[int],
+                "class_sum": list[list[int]],
+                "class_mean": list[list[int]]
+            }
+        }
+        
+Below is the unstructured difference report:
+
+.. code-block:: python
+    
+    {
+        'global_stats': {
+            'file_type': [str, str], 
+            'encoding': [str, str], 
+            'samples_used': int, 
+            'empty_line_count': int, 
+            'memory_size': float
+        }, 
+        'data_stats': {
+            'data_label': {
+                'entity_counts': {
+                    'word_level': dict[str, int], 
+                    'true_char_level': dict[str, int], 
+                    'postprocess_char_level': dict[str, int]
+                }, 
+                'entity_percentages': {
+                    'word_level': dict[str, float], 
+                    'true_char_level': dict[str, float], 
+                    'postprocess_char_level': dict[str, float]
+                }
+            }, 
+            'statistics': {
+                'vocab': [list[str], list[str], list[str]], 
+                'vocab_count': [dict[str, int], dict[str, int], dict[str, int]], 
+                'words': [list[str], list[str], list[str]], 
+                'word_count': [dict[str, int], dict[str, int], dict[str, int]]
+            }
+        }
+    }
+    
+
+Saving and Loading a Profile
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The profiles can easily be saved and loaded as shown below:
+
+**NOTE: Json saving and loading only supports Structured Profiles currently.**
+
+There are two save/load methods:
+
+* **Pickle save/load**
+
+  * Save a profile as a `.pkl` file.
+  * Load a `.pkl` file as a profile object.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file, with "," as the delimiter
+    data = Data("your_file.csv")
+
+    # Read data into profile
+    profile = Profiler(data)
+
+    # save structured profile to pkl file
+    profile.save(filepath="my_profile.pkl")
+
+    # load pkl file to structured profile
+    loaded_pkl_profile = dp.Profiler.load(filepath="my_profile.pkl")
+
+    print(json.dumps(loaded_pkl_profile.report(report_options={"output_format": "compact"}),
+                                           indent=4))
+
+* **Json save/load**
+
+  * Save a profile as a human-readable `.json` file.
+  * Load a `.json` file as a profile object.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+
+    # Load a CSV file, with "," as the delimiter
+    data = Data("your_file.csv")
+
+    # Read data into profile
+    profile = Profiler(data)
+
+    # save structured profile to json file
+    profile.save(filepath="my_profile.json", save_method="json")
+
+    # load json file to structured profile
+    loaded_json_profile = dp.Profiler.load(filepath="my_profile.json", load_method="json")
+
+    print(json.dumps(loaded_json_profile.report(report_options={"output_format": "compact"}),
+                                           indent=4))
+
+
+Structured vs Unstructured Profiles
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+When using the profiler, the data profiler will automatically infer whether to
+create the structured profile or the unstructured profile. However, you can be 
+explicit as shown below: 
+
+.. code-block:: python
+    
+    import json
+    from dataprofiler import Data, Profiler
+    
+    # Creating a structured profile
+    data1 = Data("normal_csv_file.csv")
+    structured_profile = Profiler(data1, profiler_type="structured")
+    
+    structured_report = structured_profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(structured_report, indent=4))
+    
+    # Creating an unstructured profile
+    data2 = Data("normal_text_file.txt")
+    unstructured_profile = Profiler(data2, profiler_type="unstructured")
+    
+    unstructured_report = unstructured_profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(unstructured_report, indent=4))
+    
+
+Setting the Sample Size
+~~~~~~~~~~~~~~~~~~~~~~~
+
+There are two ways to set sample size in a profile: samples_per_update and 
+min_true_samples. Samples_per_update takes an integer as the exact amount that
+will be sampled. Min_true_samples will set the minimum amount of samples that
+are not null. For example:
+
+.. code-block:: python
+
+    from dataprofiler import Profiler
+    
+    sample_array = [1.0, NULL, 2.0]
+    profile = dp.Profiler(sample_array, samples_per_update=2) 
+    
+The first two samples (1.0 and NULL) are used for the statistical analysis.
+ 
+In contrast, if we also set min_true_samples to 2 then the Data Reader will 
+continue to read until the minimum true samples were found for the given column.
+For example: 
+
+.. code-block:: python
+
+    from dataprofiler import Profiler
+    
+    sample_array = [1.0, NULL, 2.0]
+    profile = dp.Profiler(sample_array, samples_per_update=2, min_true_samples=2)
+   
+This will use all samples in the statistical analysis until the number of "true" 
+(non-NULL) values are reached. Both min_true_samples and 
+samples_per_update conditions must be met. In this case, the profile will grab
+the first two samples (1.0 and NULL) to satisfy the samples_per_update, and then
+it will grab the first two VALID samples (1.0 and 2.0) to satisfy the 
+min_true_samples.
+
+Profile a Pandas DataFrame
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code-block:: python
+
+    import pandas as pd
+    import dataprofiler as dp
+    import json
+
+    my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]])
+    profile = dp.Profiler(my_dataframe)
+
+    # print the report using json to prettify.
+    report = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+    # read a specified column, in this case it is labeled 0:
+    print(json.dumps(report["data stats"][0], indent=4))
+
+
+Specifying a Filetype or Delimiter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Example of specifying a CSV data type, with a `,` delimiter.
+In addition, it utilizes only the first 10,000 rows.
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler
+    from dataprofiler.data_readers.csv_data import CSVData
+
+    # Load a CSV file, with "," as the delimiter
+    data = CSVData("your_file.csv", options={"delimiter": ","})
+
+    # Split the data, such that only the first 10,000 rows are used
+    data = data.data[0:10000]
+
+    # Read in profile and print results
+    profile = Profiler(data)
+    print(json.dumps(profile.report(report_options={"output_format": "pretty"}), indent=4))
+
+Setting Profiler Seed
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Example of specifying a seed for reproducibility.
+
+.. code-block:: python
+
+    import dataprofiler as dp
+
+    # Set seed to non-negative integer value or None
+    dp.set_seed(0)
+
+
+Profile Statistic Descriptions
+==============================
+
+Structured Profile
+~~~~~~~~~~~~~~~~~~
+
+**global_stats**:
+
+* samples_used - number of input data samples used to generate this profile
+* column_count - the number of columns contained in the input dataset
+* row_count - the number of rows contained in the input dataset
+* row_has_null_ratio - the proportion of rows that contain at least one null value to the total number of rows
+* row_is_null_ratio - the proportion of rows that are fully comprised of null values (null rows) to the total number of rows
+* unique_row_ratio - the proportion of distinct rows in the input dataset to the total number of rows
+* duplicate_row_count - the number of rows that occur more than once in the input dataset
+* file_type - the format of the file containing the input dataset (ex: .csv)
+* encoding - the encoding of the file containing the input dataset (ex: UTF-8)
+* correlation_matrix - matrix of shape `column_count` x `column_count` containing the correlation coefficients between each column in the dataset 
+* chi2_matrix - matrix of shape `column_count` x `column_count` containing the chi-square statistics between each column in the dataset
+* profile_schema - a description of the format of the input dataset labeling each column and its index in the dataset
+    * string - the label of the column in question and its index in the profile schema
+* times - the duration of time it took to generate the global statistics for this dataset in milliseconds
+
+**data_stats**:
+
+* column_name - the label/title of this column in the input dataset
+* data_type - the primitive python data type that is contained within this column
+* data_label - the label/entity of the data in this column as determined by the Labeler component
+* categorical - 'true' if this column contains categorical data
+* order - the way in which the data in this column is ordered, if any, otherwise “random”
+* samples - a small subset of data entries from this column
+* statistics - statistical information on the column
+    * sample_size - number of input data samples used to generate this profile
+    * null_count - the number of null entries in the sample
+    * null_types - a list of the different null types present within this sample
+    * null_types_index - a dict containing each null type and a respective list of the indicies that it is present within this sample
+    * data_type_representation - the percentage of samples used identifying as each data_type
+    * min - minimum value in the sample
+    * max - maximum value in the sample
+    * mode - mode of the entries in the sample
+    * median - median of the entries in the sample
+    * median_absolute_deviation - the median absolute deviation of the entries in the sample
+    * sum - the total of all sampled values from the column
+    * mean - the average of all entries in the sample
+    * variance - the variance of all entries in the sample
+    * stddev - the standard deviation of all entries in the sample
+    * skewness - the statistical skewness of all entries in the sample
+    * kurtosis - the statistical kurtosis of all entries in the sample
+    * num_zeros - the number of entries in this sample that have the value 0
+    * num_negatives - the number of entries in this sample that have a value less than 0
+    * histogram - contains histogram relevant information
+        * bin_counts - the number of entries within each bin
+        * bin_edges - the thresholds of each bin
+    * quantiles - the value at each percentile in the order they are listed based on the entries in the sample
+    * vocab - a list of the characters used within the entries in this sample
+    * avg_predictions - average of the data label prediction confidences across all data points sampled
+    * categories - a list of each distinct category within the sample if `categorial` = 'true'
+    * unique_count - the number of distinct entries in the sample
+    * unique_ratio - the proportion of the number of distinct entries in the sample to the total number of entries in the sample
+    * categorical_count - number of entries sampled for each category if `categorical` = 'true'
+    * gini_impurity - measure of how often a randomly chosen element from the set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset
+    * unalikeability - a value denoting how frequently entries differ from one another within the sample
+    * precision - a dict of statistics with respect to the number of digits in a number for each sample
+    * times - the duration of time it took to generate this sample's statistics in milliseconds
+    * format - list of possible datetime formats
+* null_replication_metrics - statistics of data partitioned based on whether column value is null (index 1 of lists referenced by dict keys) or not (index 0)
+    * class_prior - a list containing probability of a column value being null and not null
+    * class_sum - a list containing sum of all other rows based on whether column value is null or not
+    * class_mean - a list containing mean of all other rows based on whether column value is null or not
+
+Unstructured Profile
+~~~~~~~~~~~~~~~~~~~~
+
+**global_stats**:
+
+* samples_used - number of input data samples used to generate this profile
+* empty_line_count - the number of empty lines in the input data
+* file_type - the file type of the input data (ex: .txt)
+* encoding - file encoding of the input data file (ex: UTF-8)
+* memory_size - size of the input data in MB
+* times - duration of time it took to generate this profile in milliseconds
+
+**data_stats**:
+
+* data_label - labels and statistics on the labels of the input data
+    * entity_counts - the number of times a specific label or entity appears inside the input data
+        * word_level - the number of words counted within each label or entity
+        * true_char_level - the number of characters counted within each label or entity as determined by the model
+        * postprocess_char_level - the number of characters counted within each label or entity as determined by the postprocessor
+    * entity_percentages - the percentages of each label or entity within the input data
+        * word_level - the percentage of words in the input data that are contained within each label or entity
+        * true_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the model
+        * postprocess_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the postprocessor
+    * times - the duration of time it took for the data labeler to predict on the data
+* statistics - statistics of the input data
+    * vocab - a list of each character in the input data
+    * vocab_count - the number of occurrences of each distinct character in the input data
+    * words - a list of each word in the input data
+    * word_count - the number of occurrences of each distinct word in the input data
+    * times - the duration of time it took to generate the vocab and words statistics in milliseconds
+
+Graph Profile
+~~~~~~~~~~~~~~~~~~
+
+* num_nodes - number of nodes in the graph
+* num_edges - number of edges in the graph
+* categorical_attributes - list of categorical edge attributes
+* continuous_attributes - list of continuous edge attributes
+* avg_node_degree - average degree of nodes in the graph
+* global_max_component_size: size of the global max component
+
+**continuous_distribution**:
+
+* <attribute_N>: name of N-th edge attribute in list of attributes
+    * name - name of distribution for attribute
+    * scale - negative log likelihood used to scale and compare distributions
+    * properties - list of statistical properties describing the distribution
+        * [shape (optional), loc, scale, mean, variance, skew, kurtosis]
+
+**categorical_distribution**:
+
+* <attribute_N>: name of N-th edge attribute in list of attributes
+    * bin_counts: counts in each bin of the distribution histogram
+    * bin_edges: edges of each bin of the distribution histogram
+
+* times - duration of time it took to generate this profile in milliseconds
+
+Profile Options
+===============
+
+The data profiler accepts several options to toggle on and off 
+features. The 8 columns (int options, float options, datetime options,
+text options, order options, category options, data labeler options) can be 
+enabled or disabled. By default, all options are toggled on. Below is an example
+of how to alter these options. Options shared by structured and unstructured options
+must be specified as structured or unstructured when setting (ie. datalabeler options).
+
+
+.. code-block:: python
+
+    import json
+    from dataprofiler import Data, Profiler, ProfilerOptions
+
+    # Load and profile a CSV file
+    data = Data("your_file.csv")
+    profile_options = ProfilerOptions()
+
+    #All of these are different examples of adjusting the profile options
+
+    # Options can be toggled directly like this:
+    profile_options.structured_options.text.is_enabled = False
+    profile_options.structured_options.text.vocab.is_enabled = True
+    profile_options.structured_options.int.variance.is_enabled = True
+    profile_options.structured_options.data_labeler.data_labeler_dirpath = \
+        "Wheres/My/Datalabeler"
+    profile_options.structured_options.data_labeler.is_enabled = False
+
+    # A dictionary can be sent in to set the properties for all the options
+    profile_options.set({"structured_options.data_labeler.is_enabled": False, "min.is_enabled": False})
+
+    # Specific columns can be set/disabled/enabled in the same way
+    profile_options.structured_options.text.set({"max.is_enabled":True, 
+                                             "variance.is_enabled": True})
+
+    # numeric stats can be turned off/on entirely
+    profile_options.set({"is_numeric_stats_enabled": False})
+    profile_options.set({"int.is_numeric_stats_enabled": False})
+
+    profile = Profiler(data, options=profile_options)
+
+    # Print the report using json to prettify.
+    report  = profile.report(report_options={"output_format": "pretty"})
+    print(json.dumps(report, indent=4))
+
+
+Below is an breakdown of all the options.
+
+* **ProfilerOptions** - The top-level options class that contains options for the Profiler class
+
+  * **presets** - A pre-configured mapping of a string name to group of options:
+
+    * **default is None**
+
+    * **"complete"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="complete")
+
+    * **"data_types"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="data_types")
+
+    * **"numeric_stats_disabled"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="numeric_stats_disabled")
+
+    * **"lower_memory_sketching"**
+
+    .. code-block:: python
+
+        options = ProfilerOptions(presets="lower_memory_sketching")
+
+  * **structured_options** - Options responsible for all structured data
+
+    * **multiprocess** - Option to enable multiprocessing. If on, multiprocessing is toggled on if the dataset contains more than 750,000 rows or more than 20 columns.
+      Automatically selects the optimal number of pooling processes to utilize based on system constraints when toggled on.
+
+      * is_enabled - (Boolean) Enables or disables multiprocessing
+
+    * **sampling_ratio** - A percentage, as a decimal, ranging from greater than 0 to less than or equal to 1 indicating how much input data to sample. Default value set to 0.2.
+
+    * **int** - Options for the integer columns
+
+      * is_enabled - (Boolean) Enables or disables the integer operations
+      * min - Finds minimum value in a column
+
+      * is_enabled - (Boolean) Enables or disables min
+      * max - Finds maximum value in a column
+
+        * is_enabled - (Boolean) Enables or disables max
+      * mode - Finds mode(s) in a column
+
+        * is_enabled - (Boolean) Enables or disables mode
+        * top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.
+      * median - Finds median value in a column
+
+        * is_enabled - (Boolean) Enables or disables median
+      * sum - Finds sum of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables sum
+
+      * variance - Finds variance of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables variance
+      * skewness - Finds skewness of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables skewness
+      * kurtosis - Finds kurtosis of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables kurtosis
+      * median_abs_deviation - Finds median absolute deviation of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables median absolute deviation
+      * num_zeros - Finds the count of zeros in a column
+
+        * is_enabled - (Boolean) Enables or disables num_zeros
+      * num_negatives - Finds the count of negative numbers in a column
+
+        * is_enabled - (Boolean) Enables or disables num_negatives
+      * bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations
+
+        * is_enabled - (Boolean) Enables or disables bias correction
+      * histogram_and_quantiles - Generates a histogram and quantiles
+        from the column values
+
+        * bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.  
+          If left unspecified (None) the optimal method will be chosen by attempting all methods.  
+          If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
+          methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
+          Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
+        * is_enabled - (Boolean) Enables or disables histogram and quantiles
+    * **float** - Options for the float columns
+
+      * is_enabled - (Boolean) Enables or disables the float operations
+      * precision - Finds the precision (significant figures) within the column
+
+        * is_enabled - (Boolean) Enables or disables precision
+      * sample_ratio - (Float) The ratio of 0 to 1 how much data (identified as floats) to utilize as samples in determining precision
+
+      * min - Finds minimum value in a column
+
+        * is_enabled - (Boolean) Enables or disables min
+      * max - Finds maximum value in a column
+
+        * is_enabled - (Boolean) Enables or disables max
+      * mode - Finds mode(s) in a column
+
+        * is_enabled - (Boolean) Enables or disables mode
+        * top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.
+      * median - Finds median value in a column
+
+        * is_enabled - (Boolean) Enables or disables median
+      * sum - Finds sum of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables sum
+      * variance - Finds variance of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables variance
+      * skewness - Finds skewness of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables skewness
+      * kurtosis - Finds kurtosis of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables kurtosis
+      * median_abs_deviation - Finds median absolute deviation of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables median absolute deviation
+      * is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats
+      * num_zeros - Finds the count of zeros in a column
+
+        * is_enabled - (Boolean) Enables or disables num_zeros
+      * num_negatives - Finds the count of negative numbers in a column
+
+        * is_enabled - (Boolean) Enables or disables num_negatives
+      * bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations
+
+        * is_enabled - (Boolean) Enables or disables bias correction
+      * histogram_and_quantiles - Generates a histogram and quantiles
+        from the column values
+
+        * bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.  
+          If left unspecified (None) the optimal method will be chosen by attempting all methods.  
+          If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
+          methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
+          Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
+        * is_enabled - (Boolean) Enables or disables histogram and quantiles        
+    * **text** - Options for the text columns
+
+      * is_enabled - (Boolean) Enables or disables the text operations
+      * vocab - Finds all the unique characters used in a column
+
+        * is_enabled - (Boolean) Enables or disables vocab
+      * min - Finds minimum value in a column
+
+        * is_enabled - (Boolean) Enables or disables min
+      * max - Finds maximum value in a column
+
+        * is_enabled - (Boolean) Enables or disables max
+      * mode - Finds mode(s) in a column
+
+        * is_enabled - (Boolean) Enables or disables mode
+        * top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.
+      * median - Finds median value in a column
+
+        * is_enabled - (Boolean) Enables or disables median
+      * sum - Finds sum of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables sum
+      * variance - Finds variance of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables variance
+      * skewness - Finds skewness of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables skewness
+      * kurtosis - Finds kurtosis of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables kurtosis
+      * median_abs_deviation - Finds median absolute deviation of all values in a column
+
+        * is_enabled - (Boolean) Enables or disables median absolute deviation
+      * bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations
+
+        * is_enabled - (Boolean) Enables or disables bias correction
+      * is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats
+      * num_zeros - Finds the count of zeros in a column
+
+        * is_enabled - (Boolean) Enables or disables num_zeros
+      * num_negatives - Finds the count of negative numbers in a column
+
+        * is_enabled - (Boolean) Enables or disables num_negatives
+      * histogram_and_quantiles - Generates a histogram and quantiles
+        from the column values
+
+        * bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.  
+          If left unspecified (None) the optimal method will be chosen by attempting all methods.  
+          If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
+          methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
+          Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
+        * is_enabled - (Boolean) Enables or disables histogram and quantiles  
+    * **datetime** - Options for the datetime columns
+
+      * is_enabled - (Boolean) Enables or disables the datetime operations
+    * **order** - Options for the order columns
+
+      * is_enabled - (Boolean) Enables or disables the order operations
+    * **category** - Options for the category columns
+
+      * is_enabled  - (Boolean) Enables or disables the category operations
+      * top_k_categories - (int) Number of categories to be displayed when reporting
+      * max_sample_size_to_check_stop_condition - (int) The maximum sample size before categorical stop conditions are checked
+      * stop_condition_unique_value_ratio - (float) The highest ratio of unique values to dataset size that is to be considered a categorical type
+      * cms - (Boolean) Enables or Disables the use of count min sketch / heavy hitters for approximate frequency counts
+      * cms_confidence - (float) Defines the number of hashes used in CMS, default 0.95
+      * cms_relative_error - (float) Defines the number of buckets used in CMS, default 0.01
+      * cms_max_num_heavy_hitters - (int) The value used to define the threshold for minimum frequency required by a category to be counted
+    * **data_labeler** - Options for the data labeler columns
+
+      * is_enabled - (Boolean) Enables or disables the data labeler operations
+      * data_labeler_dirpath - (String) Directory path to data labeler
+      * data_labeler_object - (BaseDataLabeler) Datalabeler to replace 
+        the default labeler 
+      * max_sample_size - (Int) The max number of samples for the data
+        labeler
+    * **correlation** - Option set for correlation profiling
+      * is_enabled - (Boolean) Enables or disables performing correlation profiling
+      * columns - Columns considered to calculate correlation
+    * **row_statistics** - (Boolean) Option to enable/disable row statistics calculations
+
+      * unique_count - (UniqueCountOptions) Option to enable/disable unique row count calculations
+
+        * is_enabled - (Bool) Enables or disables options for unique row count
+        * hashing_method - (String) Property to specify row hashing method ("full" | "hll")
+        * hll - (HyperLogLogOptions) Options for alternative method of estimating unique row count (activated when `hll` is the selected hashing_method)
+
+          * seed - (Int) Used to set HLL hashing function seed
+          * register_count - (Int) Number of registers is equal to 2^register_count
+
+      * null_count - (Boolean) Option to enable/disable functionalities for row_has_null_ratio and row_is_null_ratio
+    * **chi2_homogeneity** - Options for the chi-squared test matrix
+
+      * is_enabled - (Boolean) Enables or disables performing chi-squared tests for homogeneity between the categorical columns of the dataset.
+    * **null_replication_metrics** - Options for calculating null replication metrics
+
+      * is_enabled - (Boolean) Enables or disables calculation of null replication metrics
+  * **unstructured_options** - Options responsible for all unstructured data
+
+    * **text** - Options for the text profile
+      
+      * is_case_sensitive - (Boolean) Specify whether the profile is case sensitive
+      * stop_words - (List of Strings) List of stop words to be removed when profiling
+      * top_k_chars - (Int) Number of top characters to be retrieved when profiling
+      * top_k_words - (Int) Number of top words to be retrieved when profiling
+      * vocab - Options for vocab count
+
+        * is_enabled - (Boolean) Enables or disables the vocab stats
+      * words - Options for word count
+
+        * is_enabled - (Boolean) Enables or disables the word stats
+    * **data_labeler** - Options for the data labeler
+
+      * is_enabled - (Boolean) Enables or disables the data labeler operations
+      * data_labeler_dirpath - (String) Directory path to data labeler
+      * data_labeler_object - (BaseDataLabeler) Datalabeler to replace 
+        the default labeler 
+      * max_sample_size - (Int) The max number of samples for the data 
+        labeler
+    
+
+
+Statistical Dependency on Order of Updates
+==========================================
+
+Some profile features/statistics are dependent on the order in which the profiler
+is updated with new data.
+
+Order Profile
+~~~~~~~~~~~~~
+
+The order profiler utilizes the last value in the previous data batch to ensure
+the subsequent dataset is above/below/equal to that value when predicting
+non-random order.
+
+For instance, a dataset to be predicted as ascending would require the following
+batch data update to be ascending and its first value `>=` than that of the
+previous batch of data.
+
+Ex. of ascending:
+
+.. code-block:: python
+
+    batch_1 = [0, 1, 2]
+    batch_2 = [3, 4, 5]
+
+Ex. of random:
+
+.. code-block:: python
+
+    batch_1 = [0, 1, 2]
+    batch_2 = [1, 2, 3] # notice how the first value is less than the last value in the previous batch
+
+
+Reporting Structure
+===================
+
+For every profile, we can provide a report and customize it with a couple optional parameters:
+
+* output_format (string)
+
+  * This will allow the user to decide the output format for report.
+
+    * Options are one of [pretty, compact, serializable, flat]:
+
+      * Pretty: floats are rounded to four decimal places, and lists are shortened.
+      * Compact: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.
+      * Serializable: Output is json serializable and not prettified
+      * Flat: Nested output is returned as a flattened dictionary
+* num_quantile_groups (int)
+
+  * You can sample your data as you like! With a minimum of one and a maximum of 1000, you can decide the number of quantile groups!
+
+.. code-block:: python
+
+    report  = profile.report(report_options={"output_format": "pretty"})
+    report  = profile.report(report_options={"output_format": "compact"})
+    report  = profile.report(report_options={"output_format": "serializable"})
+    report  = profile.report(report_options={"output_format": "flat"})
diff --git a/docs/0.10.3/html/_sources/profiler_example.nblink.txt b/docs/0.10.3/html/_sources/profiler_example.nblink.txt
new file mode 100644
index 000000000..8b1612784
--- /dev/null
+++ b/docs/0.10.3/html/_sources/profiler_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/structured_profilers.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/regex_labeler_from_scratch.nblink.txt b/docs/0.10.3/html/_sources/regex_labeler_from_scratch.nblink.txt
new file mode 100644
index 000000000..a0d3fe033
--- /dev/null
+++ b/docs/0.10.3/html/_sources/regex_labeler_from_scratch.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/regex_labeler_from_scratch/DataLabeler_from_scratch.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_sources/unstructured_profiler_example.nblink.txt b/docs/0.10.3/html/_sources/unstructured_profiler_example.nblink.txt
new file mode 100644
index 000000000..1589c41d4
--- /dev/null
+++ b/docs/0.10.3/html/_sources/unstructured_profiler_example.nblink.txt
@@ -0,0 +1,3 @@
+{
+    "path": "../../feature_branch/examples/unstructured_profilers.ipynb"
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/DataProfilerLogoLightTheme.png b/docs/0.10.3/html/_static/DataProfilerLogoLightTheme.png
new file mode 100644
index 0000000000000000000000000000000000000000..35e59c3497b6cd5ef9248b9e075b3af25a7779e8
GIT binary patch
literal 118089
zcmeFYby!r<_dYtLgtUaxEjb7x-6b8;HA;wdcMKs?(%s!H-5>(eCEeX2T{CkB_4ECH
zf4_V0zxTP%b1yQ_9M0MM?6db?>s{}=)-gmyNd^n!1qJ{Bz><9{sRjTb-T(kdsA#D0
zGeN_r!T`WiBXbD}6<G-hDisIYkLFgU0KnUjc&#Ve@3csTT}@)D5b>h$uJBC>M5WPK
z{CyR~)Wz}NlDuL-CgjmAdA~#xN>Cp9Qn%dqmtU|mQI9owkDpvVQE8*ftupGTBasZ4
zXNKcw>WP=Y&Z4I<;DY~_QwO00M>M<kZ3YQp?~BZgE*fWqXGw_6b^uf_Kk;7Kx4|e;
zs5>2#2L}MvVXZ~=dT0|A)UWbV4Gkd5Nj*Zuj2wvD0Ps!3Fgc?E1g}Ne3Y5Ps_-+&&
zzR4jPY*uVnfeO@Gv%*@gNRU<96kkLJB=_zNIwFi&2Y6{#QxVUPdm~r3sK1Ox%rZl^
zuM!<17EgQnJNWx|CT2k#BgU7&05{?vhlfC`ZRoJiRg|}|h%1`qnHm9~eohqOso6tj
z{_Tpob{5&i8sLc{YowC;7LKJG7g+8q#w68o^vAxQQVXo#dLb(BTmdR2+RxK-qGg6r
zFxbl|--{ozZwB>=T4CGg)l#u*4vvmQOP*1EX+cS6XIiJXbS4gYh9|3=O1k+Df8&XL
zMB3o^{`C2lMF;ck8&e+)8B17!_7BopSczm>8tN-Tz*k*X+3)~uVk259AGNR2s5MM@
zjvJ_^n*)*>4=%VhQWHfS;ohuVG8D;0@ri`YsOLQcKkyCHh_nbpVsp7KyIe4D_HPua
zY;a}ym;ziRLw{EXG@(hY;iW8AyF|a1N(H(oYd%XTnmURnr2DjG|E-8huBX9oRzWo_
zZ>mRzxNEq$I<jvd6hDUBeqG1?;T3v{+o=&QW+N3@l`npT6$i>Df~=>qG0sE2P6)CW
z)srSs<i*-FvGCWIq0fY4MbU4NXz)~??gbWWNoA3oiD27vEAvF<8nS6xZU*$>68n>=
z0KhC$x)ap4#jALmZ=q`j0An^^iMlIgiYE?6b!1yv1_{eqbg%qLl)f@Z<EPtm36kLa
zFka(&hOL|yevc!4uaj|_G$!UI+9<tCx0u4p6b~jG)E+}WlCj_#fpQuzBFtZOb)Qmw
zBG>IrZhUUn-Ih&>O@SzMFUqb(+Q95O-O=y(G5}~%5ue-mPGx{Y?q$!OrJ@0`K_)dz
zNvMwwrDEBfgvJ(jxz|zVy;ORjUBs;}zTRi@A4<lIRW-ACWq4Ip8`=ae2m&SFB|LYd
zJ#er*<kkCPagN}ViLAUVF3J1eHqy2L32?!B7E(Z5j7{PiYV}1whK1e8epO5K$GR*E
ztxT2Rl8_KU#rxgs%Hl+Y%Lc>`8TUhac4)p?#z;s=BHr6QovwFcGHyda?`^&c-;?z<
zK-wI$%0L*mp#CLQXM-PwplU%U{wyM6QZ(Z!iXYW8N#9pg6m$Vj9O%<JPp@mp6p(5<
zy;M+{I~}S}%buimy{W=HM0p}g%ZsSwo7v@Vhpvy*um;^j92Et+Vcp>&Q&T&A_DiDC
z3>I1sb)&JOBMA{Tik74!?-zH#W6F{INR1hVVM70nVlMO-jR;jxG{H}uJfx<;MVaR4
zj;QOGUnW#&e<3=H%4A!`1@vb1?@GQVP7h7U!W_^4M5r5ZEJiv;u<L&DVm?Gz;-15I
z@4dp%3&-wR65_Bv&MGp6h~ch*YPmAh(!P{65pR@(A0Ab%ym)4-tczI3Yo7#Bh*#hJ
z=DWf75^Be^?OZrzx$$l#hDl}-453$i1|UXqWJJj)Nx!63$9KWS##8E={3Ye4NQa*+
zDU(Af7{2#Ia9v>?e_eWA*a)*a;3jHTh9+7;wjz&8O)x~6nI=AZI{GRqB9=Y2`K@g~
zzX{7XM!uLdv4j};{`k$MP2<hMO~y^1P~n~oe9@3XG$yW>gD)4DhU3EG*yTi~eD~jC
z<uJTEFFG&Q_~o(Bv`@Y-PfkuwN)Ar9=f_WX=hxuBcOKbYoN<@o%4-^HtW`*fsgJ9V
zofdDA@{}!{B;U=xc<O=Y&D56Q6XO#J)lAG5P)jUi`ITO(SH6(tsdL>#AvJ0knad+v
zDOss@lC><=M&TXW9w4lhSt%mZp$n^mVnKwFzW4=+wTfkT;Rh_Cnqg(Uh<Qr>l=f-h
z7fh^%=NYfPes+@7KV_Hb)b5-e;qBSwq<O*j;`i6HugqVsUeu9Zz94<!Nm}?qnWy57
zu*G8kk0fjbiW=XhukOC?>9;;fJscw(<5fM~`#}a2SG^{UvPB_3^A=4q`?+JU3s@)7
zCcP#J3&IOrhwZqCYwSNx4!ucE=RA0B^IFiZ@x9yaDN;9>TV~i`h+x<(#g?n%{j%8y
zb39Y(8f`QCiJZO|^XC@HW=->FNu~{i-ORIcMs@T1jZ-JA#za9Hoh3$f)gI-;<+<hY
z)9@83zqcl{R<n|`zM5OC%b)*d?P#U7P(Ob)uQL~3mujkIc3mpelVJ_42U&vWq2U3!
z5-Hsc*x}g9<cehO5%dwx5w2;wO4Lg4(k;>|_zBYIMs7z)(}7J{?859ui57`r6-A|$
zr9Yf=E&I^Eqrvbd@VIGh8pjuTZF+2+ZLVcFWqKo6$>(^_ZeO;jKF`(s$}hAZ+Y;&N
zckgn&K=FmbSWr$VMF@K4^!u5crl;X$j;EBz@TJ9>$J)_8+u8D__hir-*Yu8Fre<bj
zyHC5ripPqLh(HHx2bK@dtn?xB75>$8us=8nrVpcqo*;T5g(6}jKRn+hN}_BOINkfy
zH=Z-TAS3eh8~XYaYpngJA5qLuY|)ROR%5RP{rW73R)<CS<rvNTyZ!d2{gqutP*YHU
zH+Ep#8mgU{qu%%G)1uR}(<`*@;JDyRylWb38b{g#8qZv>oR89Vk_0)%Ia-n{t2(F1
zt-6LMBpt76`f7W|jAD$Y`vilXL*o11L`wBVJa4f$Oy|AlHP<&54BqLf4DCo=P2%8Q
zE42S%kG@gTC!}=oHZ9(bKP37!pSkPA!DiK_X@A4JG_^RU@?wwT<l?$w+llX!ngz}g
zl-xd7H|KjF_hK#zo~lV(^hSJbN5><WR@fc5=w}^l6&|-=zX&m7Ojcx0a&r2%Yy#a3
z(D__eTehS_dGq_>g%9Wr&{M*t(w9Y>#f{-9VFi&(n7<^8l(K`rgXXs2FxG%U`~n*`
zo>r(QoqoSZe^~2o>#)1+*~Yo+HqNs=!b281;*W$B2`}W%^R3^p7Aj;;P&>xQ_wyH`
zDj0CpX;ILwWQ#r{AXJo+K0Wgh+sk{9cJJVAY;3+cs{LjDq>xl0QK^HY+q8H6xw0IM
ze0yfd=(8cKbW<TqXxV)YUrob^*tW^2dAg;5>)K+4yXv{iaN)>kCQQEAb8lcm3v+_#
zHLzBj*LJPjHmALqWs)s6ap~sG>B4Z>sZ@;AQCJ&MrQSoazP3-r_qLpG>)rTWF^((l
zURsw+ofB#KM}uC8*1Agi>;^vGQa?itSg<q`%Dfsa4okjFl}&Axg36Oyx2^JBx3=qk
z)eY38YgB6}9vn`yfv!Kaxk2jotM<J~hj>_*Pe10`ZEPuKr|$FUSyjwF_=K4Z4wtLy
zky?;hFgM^e5ZZdS3OV2Joy@Jw9CIwFR&Q)5?Tw5WgtW|CKrAd>Q%?*vgQl4dny*cc
zn`(KyY~Qu%L8iTjyb15Se72w~;GcJEcYaAo<xl3G9Dr+K_TALI*=MMEAEYI0a~rE`
znA(arPLsOJhy8|wd|up6j?hlaltjLuG;sOqVYOE6w?W@`uWQ04#OR<bXqCR`ald&J
ztF_QuSC<*e=e)i1GgCQZJ5AV!VRtCH2Ehy`(>T*o@Wiuy&3`mdqT}Ylp=hb0Z7pY|
zr$8Q>m?9wUO4dT=aQh?vltl!zWgrA*JJ#*Hj62}5HCf(mWoo^>(CjKF?jVBAgFTnY
zzo(zI+_|!xB(Id-4&OF-r?;oeoCK|OoKo#|9R>LZjZ!dCc<<`oBtaX`LZ)Kp3p11>
zon%}<ci!Jm3`R{x?>q;f95=?@j)glS(C2qMfy=+!41k+JRH*LR#KqQ#)^erpJ^tNs
z8@tyMtl*)1Z^7VX_C%>e*%Ouro_{hCR1!HtnJUub)y$>B%R#j<c)MQ;Kz))Di_{4c
zK*%aY>TE<l!6A4pl$nC7m{}sdD)K=QRKx%R?62iDS2*ecW^sZfikj&WN=iK(UW&H0
ze)*E{jL$IRh2HDg-?+=zPg`pNzQ3M!%G`E}!g~GuBCBM2Y!JpcH6|@fg3&w!*h&nE
z7j?PqDQ-evd+!qS`3NCtATO^T+=66Cg9p1T39jIxBf(T#_M@UAfEj*_20%f;2Oz<Z
z5a9m+2rmFAe~tkFIRw)GI#xq?`L7KkT(g)1kpH#Og?~T(M8QAs-v7RlV!i;L!2iOB
ze?Dg+{--tKO%~FBj*%Y44?yglgsd$5`<=0asi}?QCtIiPNQN!=33R)+I*tGU5&h!_
zK~|0K6t0>a&DFJ?v=tTjjcu*jKbY7WnX<cC+dbX~An3*qKeRS=`atDoZDr%g?<Pd^
zrv*R!`0+H5hU!lfCrcq3ZABF-30ntKDsJ}I>>M=07*teLf(|Ah`PC$)|8<A|B}DVd
z$;pl%2y}IIWq0Lbw{<WBzT)HK19ETzIXT(jE!Z60ZJa*1vDrA%{=Lb6?jvdHXzXBa
z=VWecL-lyy4@S1mPC_&^j|2VJ&)?@Xbu<6(k!&3QO$$Cj;NunGD|Qax|5Z09^N;^G
z-5#&}?e=G0e}@x%ycxfSqp5?0t+lnOjg#<yueji!k^Yy9|NWeQJF1wwnObQ}n!|fK
z!sjH+^M>PJumAnZ|7A~||Iw4@_5bYoKd$_bo{v-DS9UOmKj(+XH57g&2>d^t``_EE
znL659IX^bnurYTM=KR;?e>?rJmmu(QTmHv3{k4HVXW>R5j3Eg8FM|@sSW)hQ+qWn{
zR#Hse4dJj2GfQ8?`$S|XIyMUTEiR%z-5N8=n2}o?Gu7;Zg;-YG^-2Me$AVt#C#-o3
zTPEvT$jkzC%WzfGnk|wUS{JI$G^(i{rG==i{%hJ&O2HrH849zwuc)Ef@k!IP?MX79
z*~bxukqo|-^t3j^j=E{X%(knO>jlfJ!{VtbKLDEV|Nr~{)fIS3?iZa+s!I7py>ccw
zkt_CQrv0ieTIg!l*u==l$i&M_AKKg7EA4X@oB7q@CWpAKsNQriL3LjG!S?f;2-~G*
zjWfRCg?j4+4D(^~=X2G@eMNn2WcjU0^n17GJA<!|7Mo%R^RPEgZz>F0q`CQM99Vz2
zlO>!B8L&s1CuT?S*nBi`a8SEDeI1n6XUZzMfaZwqpcXxurhGKRoA=620Dp&{0r)L#
zo3pfg{MQqNO)n<!cCwi?rN?e|v{vgnA?rpTy&!MEo9J8#(tLhyVMeEjd=Q(`j_#S)
zQy*5=L5RCR#x|6#L(@X}a}(upWP?i3J!SrDO3EDpAW^JGemyTJLWjnk(OP@rKsGf^
zYae(OtyiU81I@uryf=5&p=gL?8#qf6vfen)i)_H<-=O<NGf`4bv>v0_$0^&FD%l$D
zkc9kFyf2pJvp=t436L><VY}X|rZ&TF;3*_eFmcPLRnc~IkX6CCXh}BVl5KjcRYhbf
z`>^?X^in5c;j~_EBkpWWX&v|Mv;3#9l%&n}^u%j6^U6MmTUum)gmFwIn4d!FoX_G@
z_xal|rU!YB`64#mgN^JBU0bZgXU4kgi$H7k!JODU@O~b+(e@V8+OBCcSwH5|t8&n}
zv3=)UY@%8&#YIi}n}d}g>cox%HgDuXG+R`)J1J}TWvie2`L?1k?BU$`n?Q_AGx)4&
zC!^HyC+ARN@95GrF}ptR?Pjd<^!1{n@`qmi1a<>{S#O0i-UizhLy`4h+C0!PFpXHw
z2nhj~L>+Ms18X1c&TcV}^1AtY*%NdXZtJzt7)0rFL)<Sb_&Yj?((qxm!@Ke-mr__-
z+Ggf;8>i+sB>W$Znl)r{pI8fxYkI!1#u}?Olkhx8H`32{z<e>dH!D}oI=HDF$KI<b
z?N1^DQ=lUFrL80r`u|YV^Vdspzp!~%edj|7Ss1h`^ly8%1`}7re^*lY+^k)996MLu
z+c%oCxCA|WL{jy50N({|Dvzz9&t86F`@sd55)7f-X?H)oLfl+m(8XXp+y1klPI1g@
zV5`G(rXh8Tjl6ktb6_Ij!rH@PLR>cNM|E_(<IqqiDES8;@kSE35t;?ow|$LS!|n&A
z7w&?x>eha`e{Pm$-$S3M?;togh`t_xg)9m{E|Fi2mZ6y2u!U~hj@%_@-X>Ev({56e
zJG-!_@*Wqb4LFeV;8J{fBkoBvYJCT4Wcq0x*t`oGkz#qnx6<TELgEij8BGGO&9fNj
zxw8j0y^E2Z5guh?9(49vb|;zdeCU3t;p2EZvr-Cz?3aq1MMskLhZ#@Ro$_+x0{r-7
zeB&n8MPTP5uu1Q$IYyEltFKG%J>UAq*bkIuS^S9o#*qAsIG6IPR~LFPw%Ds<h+7AR
zNBfsw6})7-neKGkudty%P|kq{JdIEc5BB|d5?8~Fo$MV;Gzb!8@Ji(p)4T8R)wg_D
zh}AytFpd=!0FjDA0QoKYaLeg;%$aIqWtsP2+OFpgg+IH?etv76KJOFLACDhgP|k%N
ze&u(?>FStz`2H|BV|zc7G7~~wA)*hiupOYjP;R*kvf7^x1Ge8J{_Neh^_~n2`LmvP
za=vjRKUZLo71$zt?;F%)y0Rm`7{<GQn3B^R7~~wD4D|3hU%i~f$axWEr7~z;U4wVl
z>N8}C2mIyuyfP9R&T?Z6-M9;a+RF&<>W(Lmb)X2WUv(e#Kg*uU1#Stu40F$r&1nTh
z^ojwHMSamv9j_{3fioca@meFGy}gGXuh%=KdX>?I@%rIUar>d`ESsi$Jhc=B#;iZ@
z?e&78VLYEgG`3TCC-|O#Q+Pt~Mze?dchZAG^u#F6f%YHB{SR<vGC>k=D4l#Z512<1
zn@YgTr(bxyE<9K6ml2Kp{!G(DdG*^MyC;1c(hZ6QoR79oP`Qh#CKB3<vGWOr%e8j#
zITUi%hC{nn(htA4VmKn714r@N4KdQ}Al$4<MNkW<`R8w320hI<cQ|(|71`gNr_3M{
zw#)7b%gv6w!y<onYK#=|;q6H3@<l<-QnB0z4yRwS&xd2UsBh<Z6T(dc{1rxIY=Ct~
zrW83alTQS+MrtMlWL+z_@1fkOI6md$f*~`SjRk?3iSEG%l}tc=uyCf}XXsu&RHx?S
zux@?-FNQa`00i9KjLyfIjps%R-{D(`k=^W45n}1=xexlcvfMFza3U&-XwbnP7r8kn
z>wMU7&%%xc(Rx^~-m#no&&U(B8Q&FqNo-ihN$h6+Bsd2i&}8bhT;B=o7v&0v0#_$=
zI#Cg+#>o9jE89H|O@W?sg>$oexm=TFr-AWC`>)D&cL>S)fqa)zI;F%u&yXPjBHNT8
ziALxEw)-z~pN)4z=a!5IxyAE#eZtU}co&geKORyojt`G-uO|}QFQ)I0TWl$YUH>kZ
zFoGdDFC1TOa$elMdM&VZQHZKS?()j3OGmj^HO(_#_OdPAjsSP-mOJnj+vNj8*PS$M
z1nt4y=RFh;Ngw=ynws~w*eG40g0^YfvrDXt$b*ERW9wrb{iyqC#Su`U_2BLkdcAPh
z?O3rtvqDAiX+LS)h`3)!0J&{VU2bZd1js59lVL0M#dFBEOtPDf7sbu5)#pUld*r-_
zub?qB*;udH2A|k<By=m#GRmYTRxfVDOCK!7kh3CbtLn3^9~Z)-KL#FywRA(H%iGhf
zu1JP?{<<x<AJ+))1~^)h(`a8kwflWUeVkrvR}rC!9BR}+fhDlcTH1-<{bJ>AF;3)-
zW*=MT!jERVkusrEV#XKew)?k_b`7!=LWEGxUC6^?hTBt!w~K&}_x7gYICUN0Nq1d-
zP6@l|yOpnVH?Hea1~@7$o5$72S<ut7#SFefZ}{butI^%-H6ji}XybHHORmg0_mW8-
zd?!n5Jcs~e_{xiUj&mMaiI+^lFXL6Pc_0s@8ST3?6C4nI-Lgk<$JjOC#cTNja^8uw
z;@#soDs=q|zJ>Xoj#5A1KrGscHU>{6#;Ve2<bbg##}fzMp3v!3c7Ko%vW+~DCtV9i
z%2qU|%_E&>iq8h0MxKvsV4b6$D_6X8khF({VEaL3o4Iz?cR?M(>XmPHqdP+f@w;Ql
zt%@2*FLCBhH+BUd<LxdILi6?$#|_~AVcYd`q+pHdAi^O^u+rIh)u0l;vM}IRI`+g5
z?KF{KQ=mW3=v8pRI~)87{sa)3xPShi9bCI3sC(b+cj+&~^cm_04TKa=T`ha|*WaJO
zu7saZxUFioOFjyOi-^uoCn@u7Z0SxD{V+#NforSRJsO3<W%uU%%*rC1?#*gttYK%0
zzUm1UG`Zo$#^0NC%chu$t@n>UqnqjweMG>^NyR*P{l*XaJe2DRct|7@)1`X#jsRD-
zP-;sIL&_QBBJw@cDB<pkU#*C;2;`U7o$A2os=L>uADZa<3WBQ4j*p%)(@KjU>pfCN
zEGm*1_&A^Tv}*3n67{?j8i_Q&z=0-#UC5Ojt=H}bJ@Vq0e|zm_mKEl<2SUkp@6WSw
zymy@)mnyq%#Ik0P*I%esE*#5yIu(jEoAk$=2tzI=f#Kw*qO;7W7_Sx(d|;;KBX=s_
zcy$-c#4BcMc}+|7S<DR*rD0z&A6~)iAY!nniqG)nQjO&(hb(#aFOLdd#ui>ZfBt+f
z`71jO+zh#BIP7f4-5-AUjW)vldUQ**re(>((m<0PeGhlag)Nu5LuLK~S67{S&O!EV
z(5LL6FAw5OcedhLD4a2@iJzT<iO_g9iRDr+mS^ROn0bgMsC9R<;hj=av8#zR-sb4z
z|L4pLkKu9nnXLallOlli|Asa>d)7d!RM-y!Wx?C2N}tQYCc;PO_$Z#`RX3bh-afMh
zoK_mjbaUyuB0sO=686&N0ip(ORMGT@{q|Rp_)c%lJwGV4Fqt1g8Y;`a-Q#AFWB!AF
zyrb-k0Bzs8d7<SkRu3KVxlvkb7Nvf%_f0ot#Zl9z(HyFo7{-o)2lI;l0HS8`;e4#~
zND=0BtEDDnv$tNH@oy83Z*nugcflQRMpiWq_DHba@<c_fDF=JxgX;y`^6Tw4dQTgQ
z>&?%5=Qkon#Jp8N6(tz_p<HaaB#pJ7tL45De`bAUyWBeO+Ht=mgw3}ZMVt~(i-Ros
zJ{bMs_yl?k&VVL+dQ4~3#kd*r(V5Oh%}^2SM{{DF876)=&uo&01$4qLCY38i&WE@v
zN!JHaB;fuG@T)*O&8<3^sf5`wX1LMJbuF2}e0E%Y%&fJZe3gS+Re-$ja-u-J+wb+v
zF|?uIF8LCBt4WSc{5$WwiW4^V_#YNEi`y0puZOAcl=bCWOGaQrH6vxV3-w2ZyEoN;
zm3}RiXap3>v*a|{5D5=3RjX4X_YH29JqyL7?rhjk=HSD0zg-Pwso<^nV9Lvz&_j5=
z8yv*jZ^maBj$^vlo9#?-2dqYa;GBt3*wjUU?qqnflSajNyM@13fcK>uvqWr7>9Fpr
zKZgfmk@8W}%tUgC@E$DEYm*jMJ!35D32#NnVD}KhxGWb`$g*>l^p$_HK8AguS8Gbh
zYTN1!Q;pV5NUW}=F4NKFOG#MH=96$(v-3g57GW`lvLo4xKP)>2us5>N?si~(*_Oz<
zR|*w@-fVOj$^v*_!q;(`APWdMlByh4%g5LHEdTqA*+Gtx(SY1%*i2^07O?1kT|3Bq
zl|0XSshEqMiS6cX3A`jYABP>Ui*WL*b?oMZQP3jQ)n3;Su=&F?1D%UhqWl-8a0xV8
z0hh)Shp)o<15Fo_CdlVIqNB&}Xd?x`jV@A!s`_`5F`h!NJ79@uV)9b!Ec?veN=*Wz
zrcaj6a=&Lcve4kvY$V@H!jh%dH+O#6w3qw@dwI1g*$%izJ)NZC7yc6*;ow0f+I$hE
z?6n@-PjTH1^*Ifo)aMG2kko)rO^o{Vj;9r><jkDPyQ`=<Vy@qBzT@`5A}mwM0~jXv
zVA;6aV*o%fOWgu~`8#(j`lbgh^@EL!a(ph$DxhYZZ!u9#D>ir^`DWHW^4mh_h2F}Y
zW_9_nlXs2ai+6iiuH{E3q=v9Bo~0vzz9(>sErFQ#mVt;}U)ydr_Ut8JN_d2as$ZVR
zw$(&-V4qVc528NNR%-7!cx}5_?!kS;3woZ}k-m+y{F9^G5_js)KnlKwTo2eDX5RG(
zrk=aDDK!tDB#PO}XH;a)Z}F(+53g+oglMtgV?9IOHE0c*5OvC@VnT9UH1N}&EfUp_
z*q1l(aW2><Y^P#AN-gV`&3rY2Epo?WdaNJzLE{FP4fGp#%$bSxBWVO#P=tmN1;D8w
zi3egHNXE8t?ThU_ORi@*?4<45upTlCN1!k903k5U^6o38K<qer10eu}e#*hO#x`J3
zLG5J5JtL1HpYclO(MNreu#3Qu0}$*bY37GE1`hT|l39d^Fi|t8%)92Mck?^2)=FZJ
z#Bna}xAZ+reFsLsk5_OJcoEb&XO`(rSVu;YXs(W|Z}`BK+=xg?2HR}BxA2khwozWN
z)4>tyn5Db}o+Xh(S+pw3z&ipfO~GHW)7k%-0fa%c^oCfKvJ3TE8kTx=a=n)84Yz<f
zn$wh-){mH%<Z&{5HUpnc9`I5QzxI(LRmgnn8n?CLX`nX^Z0L@=zjUeyfX4S*or3Bt
zG$7eQ6#SGU5G#Y?U1B&;vEx&v3shUpealz?eS_%j&?tX>j=YVG;4+Op3-jHKlj(~F
z6iq5)dycr8El9Y256k{plY0X8a(sW}o;1JX)xz{iBjLOagcAnwNToUPPMjZsi%I(D
zwld;yz1RxEksuuz?Bkb&P<jr%x`e~oI@$VPxgq+VhrsPTb)^jRlaZN+G5E$_e*Uy*
z%SJeH7aQ3H6T#(FMn*=y^g2)Q$C?IxOxjk=#y+SZABphx5LqUuk%U;smhp2&CG}k;
zJ}g#QxCt7|rUxZRC;hi-HKMDbkv{6gDOPJm#8<9fR$s{<e(R86HzUIt6Awb0r)~R-
z)yVGJYXz_Kcq@J%9p|3|Kkv^}1~n>XQSV$SqT_d*@wa(Mw;Z1@eEq%1eh%I+FPzE*
zLvJ&Wt_3CUA2AMqSdQ+sCl6v~`(bLJSXb~eRTnl{IlG~eTwa}vjEtHH;JbN9>1K+P
zU=L%tD2^z*h<zHUTQOqfvg_zw-aWvu=?+Pnp)oAl;WVU#T&KZw%+fVh+P&{fQC(d&
zem?rldtNlF`NryTrRz?p(A{n>W>5gGGy)=(3e|hcQ9{BX-oXzVGx2Z3v_6Gyq?^pT
zH#BFbqXu<QQIh$%EJ_IRYkTS!%~out#zsPEb7>fNjz6rw!GhIU&e(w00*MWElUU#W
zP5TaE_&uR~$e7=YInF4C<Ptu#eKZx_eFlez4&>vO6JaRf1XKDh>Q2<AGq=zp^5-|T
zU&)78tvu4R(l8vDL{`W?c^{YlifqsrX?TNig!;T+8FE8%$oo$C4wfr&mut4yd*TZn
z5v;|2TsEpPcE9k{H~E3Qb@ucvv-yx*o?JHTYZ9tQpb<s>8J+r)B@FcmA796DZP3`D
z;L`}<4=<VW(v(Uc6w{n9K<m%uPz%1#3<{<p!0<dw_j-sy56HvlFCP$^zt|VS2k2IQ
z|IY5zytZcwUNQ$;xXztUcB6^C$Hs?C8v&xRs#sd~-$krNL*&N}yO*y)S_JyigL0z_
zdLmNEYAdV(P|Tff_xNtZGs@fsCNDUn@QF&h7b-URXIq3cRdZxs4M<L(j2K@pwLu^a
z;QIz*txrk3&)|+}i08H$EpwGs|02zzpXDWPLO&(?H??sYvzL{dQGLz!`NG>gf-YQA
zq_WxBu+5w67}$>=l8=d$b47>a+mAS;e-iPcJ!n>otxdqYOwCiAidhwVUMda_WM&90
zeyxLidrs5X=Qtzt+!;E#l)6x>%V(3O-dERi9f?-u{hk#&sdq<wTh+~)->{4Qxyei9
z1k#k+a=?8vT+lEgwz4I+jd0g;o%7PZF<O3L9yTrloOHnP?5SULzX`f$0c@@_a#Ax{
zY+Y3JeJ7gwd{-f5)4(#f-`0-(Z1Hxu4-$*OOx(7YuKNznWwXvo<H)$Utb@=>Bd@>%
z!_ad>WpQPdH-zri7b_sBd;)8+H*{MMx)%3N=~l<#*!6}_0_~3psIVb6uYR14RxE)1
z{^0NiBC8p6<vLSgV0W5K{RVf}Uo@Zmp)kWERLIM@girj1fBa_~zFu=xiu$vWoa2zN
zXO$I<_C6^=C{CD|CkboxFLGc@qhJ^$accLTm=b)1&iG&kAC7PoP3^C%YS4@U@8vVs
zySpkULVBy8KJ$|kxOoVUc!@2YLUuv3QfonJViN7US(95y;eC358J_1A@`Kd(;Z*1j
zNF^U)cn)eZk~*qrIfky3YE}Ah@m<Fj(@H+7JODDYobS_$xn09~P}!>1h0{hA>f_^k
zxl78V9j{6=*y`UF>})Y5=gEbB;Z|m*ZTg~d|J?!1o_I2x1AF_%n=|JkBpwW+mUHfh
zZ3UH=l&@4lmx3rfc5gQq^;nh(#2>c@;AesV9@Db7Ngk4EgIgw?>f7Hh3uPmFv`GWp
zqS^o$oR@^}OMym5JMOu>3gmxb{rb$CY8tc{hh0ZyjYb<&z5iv1JCvdBtL6!xUg(&J
zF)_RMI{2`<Z~D0XzM`Q*yLuh`y{W-G<j<T?{Q(PaITMWNVoH@|DyD1o?&ZV0jFDb>
zk<p>4M?Fr@J1jz#c8R+E%~5V{F_a-uh5ZT5k9|oV4IojXf)=lPPnRhKo2u?POKj9Y
zHn__u!pDdk30f(%N9VH*O}t*P?TDN;m-vIDR2)>u``ixnv!bEVhv|^~8Cqi$u;?}b
zyT${V`Dhg$vzNa;i+Zq%$ot&9z?3^jKu#B<u6Xyc+(b>{TY(Bc?Q(&sW6YhrK@JSi
zt@Avc{WjC*Zm%xYw)s|s-LUnhd7@tw|8b{8-viKILz?4~bZZC<=0P5kPe9+uea|B$
z$`~H);p}PqOZ0OV_omqi^g<z(Oo;rw+t{<vo6S~QzIWWZQ;>;YD#1}%goRMLa412f
zq$TRZsNng~yz`8K>kviQbt7$E5ZWLA?G(j}S_w>~JuZjPQv$G|qQl5!R`HMCw9@Qc
zN<ry9v!6z+e{uMkU|c^Z;vtwXBh6NI!=|D|qw0xGEvx(Ga)xOZEaP0n^{7dpqIth0
zaU3}1v!wJC@vku;&_!8W*&YEix+pvQeI+WMK0ZFY0uy_^%6KBgyQ;v!w=;*M{C;UI
zQseb8J^PCZrW8xrp>xN2b!ixC9tjEQ7HPD3tD#<l&5|QLf8398$9eQo1QYEs>Hv^Y
z;{Z(8MF*+L3Nx@Cyk@$sf=@Q+k-N{#sZkKqAFWLpJ4?vjm{?GRW@GeBHo^R}xF{vw
zM@W<tD%dXRLIzX3DFf~*+BkQ_CS04NjN3V3?046g?2YgF(&s7bd9i+?{sA2lDnu*2
zsrIW`=(>D8(rZk+A`M!Vy`6>4=U&v?6?}nA14<3_;_7E~dIooN$KMty`p>xnj@#vl
z7hhnu08a?>#|WMkeA<02Io`p=d`6i)YQzpp?Qq{^+etf@b2!d)-u};oQbnQI`i>A#
zRUP>(=o_J%;`V!GEHVfye$fSna2rF7otJxHdPp?QD>Fgqa>;=u;vK;`?P@!^1FGRj
z&x&6vswiV%boJDSJ-++-LJ`OwOkxDW%zGV8z5a+V95=`hH7*n(DWm@Kl}Lx*p%a#z
zENy6fH)hzhBp(q`o-|t^(VImj`dQadW~@IwudRD~{c!R2>V|vNvOtB*6BzrMNQWno
zp_QAs(C0EtG7g@GNzEDeW_d*Hl1Ie8F4L*mCgD#9<~jQPGcgt1qA*1#<Gl~&pA6u0
zdam6C{2+;sJWsFU{UkHazbT57!98ZV{aYmh`YD40Q3LnqypL*<DBQB1qlFgw?<_nC
zSO*Z}G+(ia!hU2c{srqbOwi3CQ(>9|C;Syg|7QY!t!<5lqu*sByl_E|G-p9a_U?M&
z<>dKXo=WnsiIQR(!&vi|xW1yqkFILF(ryp|G(0DBZHwx)giD{k{1U+!W?3xl_Sd4x
z(@880{oB%P>y(@Y`|2hd+RV1QAnlioUwG66R(+8y8dmK47?lKn{{YeK_-K6zB>C%0
z9C)kBcDYb9(s|7Lu!h~IldN6ZE<BGG?|E1q)I47siRVp5mwV>AY>8d^T#YTqT77Fb
zLtb$!@9DTWw=K|AUeYt}%{W-*0baLJ)$4#pTvOJ0T-ruEDq9LXN&)!qmw3_o1S>&L
zGw|=H(5exVua>TlcHUv!hb`2;>;6vA+jyl`j(J4)i~3XB1Uy8~<{z^T#?KV7wCj=E
zp}2#xQKgNobqBI15v7)fyGdtxrF2$m64S5}jZzEJH&$+=AA-vHBh&7`e{%ovpCQA1
zUwUx43Vt)3>+m4&FcHw_Ldl&=e_Y1cfVa#Nb*L;)J@LQ91)1Z6JQ|$jUDcRtCe}_4
zEex!~)=NSfowwNidh6W7a$)ATl%5x_Y8^VD)`N+_4!}s8664_?{y2+X6@M56$;a{i
zO~3FVQ;-C-f~I~)sJ_1%`($L97iCYru1xmFt3>jyah0nwb3p-_m{#Ka`hibUqWQI?
zp}F9-#3b%D@PsVm6m*Re`T@(k`YMG}E$=T(d`SW%%T}id)py*)9N~^We_DQmT+;5Z
zED|Y6>Yi{XrL9T5f7n15Tl+OMR1i~MLYGB`yTG%!2=UttMgCKWa{r(7$CB6iu*j1g
zVFgObKhIo&YnMB3d@s=C$f$X`GeGv8*HbBL0vkG#E+DgXbTu}Oj)*qH+B`Ob0@Wll
zR13EMeJ0zwsHwD5FBz(N+&0v$t%pN1Gv4PD>RmvThY&;l4f+SA%_{DPsxJa}7rJG|
z;LP?h8erq?20=)lla^k*Lv`G}Fe*ZN3m>UnI7dQ#IB2B8iApgt%*|&hqkojo)HSWu
z3a-;y&pUoemB}XGDPY|3bQ00sSk6?WKg{+CyUgZ<NP*;&ga0vVK14`W#|062+3ILh
z@@ItW(0`OhE^;(sl$(m@ouHyK&z8O2xu9uX+Q#~Y9z$%-r?*T3Heb^r;tL)UtKTT@
zIEC*<IaVOYt|DM~8Ihv(eV2bY#xu{qUfJ~4*V<U*5Xg4c)s-1WfMI-$?pGpkqp0tw
zMt`xg()rTzc;CI0a>O35TA`P2Z-^yMMb)P!Vg>bvzkPt7XXV9M@3sXj&(4zAz->JC
z1YR;R6#p&5rSaphM{Ls|)W;YB-5D9w)I!B4lI30|PeZ?VjV|IM`6;2R-`&=i>ovqI
z2k%qijAmy1KFfRmE%@$0KOMs~A2j`YD*qZ(ymeRo#JbOc4o}{3!?7AxU0prDl?a0V
z<b%UAhFa^W$&28>>8K$ML@Q>}H{1nW-#XkR3;mcmMYF6C;|;sOS94~hk&$s<ItC4;
z%~N``mU@D&*J5ptLuHnnmd~Gr=&l~QC8a@(=xr6d`Q{(F^wA{vdJjy$1Lfeo?qTx#
zQ;r=nMf9$P-`R{^nf0r;H1Z4b-RImh3j^?oIl18&l)B`6HhchG6?Eo_@i~+;a64aW
zlEjvFa5uC5(J-%#Wq*@DYvMpUAz8wLSMquWUNp7)aMVj``%nndIcJfHb%gn=iv49W
z07N4R6r?#B?%ZZ#(m{cm^7KbmXzbu8di{sW%-6}Uv=XMdjT7W>yN%_s``4V1)FxdO
zsMFQ*7c=2aD-gvd^}lVIPP*E`n&X#>BRzvAvK#2OY$fOkyACiFwkD+AAB~Vu|3O9o
z8V5o{6q(lfThGzWF{_V-SBVsuJs83gJ*a<4p>l_j*|FnUQGa%1E?v+<sNjM`v;(<u
zd>$(|A>~lNwFQJOE<QeFC?A^0rl;AmakWq>xb~S~gbEJ71)u-IF97W&LPHCMoDJ|0
zXc!y91iv-GBLkouji-QDu|KY~aO^fi22hD>VpOlwwQh72SO`ncVsB8KfB4fR8-V)<
zSn$~2&%Gk4hia8+tG2)s;jlA}QY{z*oI~4}1qb|n>&BNL=`a>fma-;*h`)c+BKtAp
zKaK)Aq{B&rrkYVK*-ta3DJgmSl!x<Pp6z0@og83vOmDXBQS%Y+xr@rnind(LMyls7
zksW}i)=Dj0mz-xZ$>1-DbjXZ&iywO7KIZV?zrF+{$wMFgiKjeF;ZWaBAdQBY{x}~I
zVPT~{Ep@VW$4TB>t#gME{(JMSbj*jyWIOuvNyy9<Z>rR{ZrgJEFH+nW$fob`czPD9
zuE0Z&{JHgfqz(?eFxcwiK~pcqA8g6uMli7BI{3*j32VeKo6I!Xli5#W+1on=&QS>l
z0Bfs|{6^3p)m1~o&r6_1fNLJLw(M?#aT?Lqhp=JU<+FZL971yq5OP_(5to?Kpw8<$
z;#72*?=jtDFj>ZQ^_HV)y_H%R^d3}^+xK@!0CE8XT;<5LY0k?er(np5y?258>H3`K
zNt=w6JqK;X>$!;%p~U2`toSN|eA_Q-yp3u5R}$a0B8(}c=gm={z-lLzHX62CefneQ
zwRrHwvHw|FEsZGZgp~>K2&j3g_gh*RO+on)kPSVLOrf538?ihU0rI1R?>J@SpJ7>M
zs7pJn*?ZHPgnI~KZvA#-!l(<Xf`J6!Jo$141U~df!L;F~Li-CcqFIWFR<!aiaj{17
zEe-H6Vx4+Jjf$xF$do~?Zq-7clx<t7O{w?0GuOBb@H-?+L5FLq3>vidBWtePZW=Z}
zOC0g6kH;<L28%35-k@-oK`ISAk2f{644g^4vu`c=J^lnjIM`<qAX<U?wL^cy6^5cM
z{C#v4DojKwsz<M!>~p-mdFvWnspvUQy<KkENgp@phgL06naY0v7c;}-+$fQ$c1^?D
z$@><m-IIUv&>a^O@(Bbx;nDzvf2-sqnKcqQP~-QEc23}aup@AC+)tDQS(FOzC$`f-
ziPC2>WgU#STD&r9;!8(y<A>G}|1Dzl*R5}o<js}Tz{P{qdzsmWZfk+chIU;jPYBj2
zZ+7wi*{*0Iatc&E6s}&1;p#;&XL2vuR}jqvF&>JC?jS5P_k>48&rtEXz6*Jvkjf~u
ztpwi%)bDH-C~mr*CSSWb;)tM8MMbctJ=EYLrKEWyfAmxv_At1T2=ck5-AQvCVF^Cr
z>hYsR`J>PQi0ODF)yf@nIad?Vb-eVE5u`jZsy|NoWWcBHa4J%h*zoN2LYjx`ag!wZ
zDPBqEgj%l3u)fFOq#i&X*%su;8sPt77Yu#4ty6}-J9b_9NMYfu+)Vc$0}_4DfNYf>
zma+?1Ndke_tD~DgvX0XjRBmOQW_vV&>Eg1R=cWheOd>=r%9Q7D9kZ<Tw(wI0{j1T@
zIW_mFM;ul?`a)U(V{|yy>TbGrjKuvL*L#tFzL7qk9Wt?KN_2~)PS2^PZ+)^NOO5;(
zx!@YC&N8v}iAXUvlw>S(i-7$7i)`F6na^S(jU!_?*oD2Z2TcdZksI0pNb|6XeEB`{
zYaZ}1JcS_?0terB??jpY;}^=lM`iQ#%kv<M`UzpV`_EM9h%K3-`9KN>>7|-CoO$98
zHJukjl!PcjhQGdkdf~EnzFpD0sUlXbzLjTQAqg%iYi%z?t%M<A^Jcl+A2op7zoRpz
ziSfGL1^)-HM1g3VuKHEsn?zwmE~r-x`;mCph?MgHzxGFd3Mvhkp=_(-1nT~fm(6yI
zV+!%fZu{a#iXK8n_*SQE(@1|zMHLg`BJqxH^HL&iu=eioy2EQLbpDF~&%@UKR4F(%
z?Os;M=D(c86?s#Jy1a>EL8ReZn}BvLGNR+>N8-}oe`MSrQV`6(Jb7u8QEzzLJcHsr
zgF=xoLSs$=zL8$Eo06QMn2FNOws<9^4XM<vE2)Q$T*6MWfg%^zKbx+j6MW&T^EVm8
zMN4H{F5k;fGCpg?b447vE9oB`ASwgTZ~Z3bD|qN-QzdPuV6R-|bk!jDQLajpH>W6l
z9+Hn%qe=|Ag4!tJf72BIY+6j?oHNy?xZnM`bRPDqkIbOub~|-+$#umWxS{$U>5ssK
zFB4wYXwdx!a6d}X1&zsyTh0gET?D@pkl>-7+0Mdx%=0I<EO*ELVa6lvO^w@ea?1jy
z4v$(T4XD#p@S0^yzYIQA>~guo^!YK2CPH&3%{!63yjY8dC6|TN)kR`uynh)c2zBS1
zI_0a%ePKDUZ;r;lQTF*tI~2OP`*a*9PjAz&-8Xofu43|Un||p-<HWF37dt9bztQ9K
zkJ}U*gg3Tc>%>Eq1&(Ux*)m(Uu;A&lruj&$|HS%>*#AfrMn*;!NSv5Ra*j1_64Rp)
z+S_P)6e;CDQ#ECKbOt|9A&Z;bl07>{(U#*({cv#!uGrjqw#J-M?;^AZsjA%$j9{wF
zgk-vJC)XWRc0kRD4x3iPd}{xxWznn^<R8n)O&jeVrmz^Cu@i(WZ(I^_L=D$dS<|BF
z_kkajzek;MD8?jAaHo@<oQ1>;lsVl@88EOQ9H|r7ALtIAGvyCk`o!OZTCNuROW_HO
zEdl}p5EBl$`5*2IPr@_8*`@clj`%CpyZ&d^0i6nup(;CaXZPl39nok;`}YlO?+Lo&
zbjz2X=aYnA6W__@JgB$z>oz02|2bpxGWR<KUUfb3flkN+b(C1hSFA}eIsX$=R*-)x
zgzg=-LCR|*Cv3|;Q9hQN_lYCf=O-PxAF#YNsPn`mV{1uVesShlDQqD3#OA)3^lnl;
zQXOEPh3)QsI)djbJkGq~oVaUq5tfC5W%7@uh=S1@RgbD6<ueBw*Q$4egyjL9Ptnxx
zF<Fg`u`DmcmxU~eoJVeLd^4++D-W1^nm&uj42`Z?3N3N<EGE>-V#WC5wdyeR<x%~b
zGk`=!M$WLeY{tlpxF6_&#6}=o9%QrsM(RAog=>@CKvv$H8b|)|1KdY<7vbdVr*J)M
z$-PgXjqM(BML2XhpcQ<;RZ3uO-e7(S|BrBQB<6H!r{hrT7E@|O&%HWQ?=yK`skWRA
zu$+M4FG;=HTogG8^7{*u@G5+msK{ZZaDjjxt#}6&$1F0lx2pp7VbUr$&;ZGyW^Qsi
zo&P#!o9z78++Mvy@refA2e>}zsZ(tdTg6w>b!55_C%o)cm$P9n6YseH2gf!yoP5`%
zYm4V|-%<ZKJjVj^FPn)B>kl|bz_}*5`<FGt<dA?)b@*t%$Cg?=CqF#Rlhlq(GGn(q
zE;INP>+5>411h*gB>0{8xph(x;e2d3f5zF%64-L9Df43G2m&-{u5~$Q;{ii|y;By7
zj$6KZ4Uqh|`R|F)t568x)caL*%mi(WlW?QT#23i$B`zEgcE3I*E?;2mg%@F;tqzQi
zw}fTT*VgA1s|<Qm=HF^kU1!rLBuKJ{S)YtRao`oO`J;vvXfc5j@0t@lo7}r0O7<td
zz!xr7w6<uES1?vQ{B9Xj+ri>K3^>P-66`D5_edxr#}lncr6u{c`fRm(wU!iPKXIQ8
zw;?!By4!-fu#PsbhNgg;6ZKw{`?3lBSEaCc7Om-NTWwhO6r2~M!g;X|$$z;b2J)RL
z?38|iIn98qJL@t2X12fIz~*T=*vy@Qbh+mUub=c@Yus%9vZS{^oT^N8q#Nyb{JIcL
zhOH>%E~37wT51y0(g4#a)ts8H1i_ZOu>}s(Hy7{M=Bue5Gs}<3<vGSEVHD;18aNuW
z+|+<=?2!ZH;S^8!!xoQiwT$iOVLasu_ND{H2SYZc6zMkS(%6(3BJNnd#H4;Zl*kcH
zSRa|Em38+Qtd1J5+cS{>N83Wmzr09v3#~D58|mEwJnf`_`X<TYxu0Bt5l?d$G)8;M
z``L4J7b+Dg#Q1i%pVf+>d}lX!nH+LoB(I;q9lohYAMR=H#nE@J&q%Kr3l}Pf5m06R
zy}CMq<Hn64_$%lTXYnW;yjTA)1zy7NnFCogz(cXA5&#<+IR&@qqG$3Z7(1NmemQXM
zmvcENRA;W}euU+LwIDuJV={oR$3<-^>S#W!CN!Kb+wc<BJE>H<<S@wAQ3Zd$Lb<RP
z?{9Sk;1`PjN1r(AnN#NH6e0zoAU;A0PSf<oO4|OeS&i_T(^<p0rS*^EL>bpl?jWt3
zI))QPoc`7G0Nyn9=MnjRK6GI&Eyb{!5&jw%$mL9jN0&cJ!>Rp$MXD0GGEqoq?1RU6
z+P>d@qRx+0Wk<#-##QmDJGY^iO~gBz(r3fUI7@bZuveZHCTx3^NA?AwCP6E@VFq#u
zTQy#k_wa=A0)xn9ajB-Ff`XS0Hum2X9=s9`K(u;uZw#*X7XcJf25GAz#=D%};*p;Z
zPsuWZ1R57m^3qONPW1aukR>y;uHQ-NP7x!NQxHMfB#>54BA_$nde;y1iH6NF$7U3#
zKL4Slom9BHsgNGv9QOCUzE_%Yj}GR611)-q{Us4zSLv^{z%|)y@{AdcX!p42ssz4{
zIitt71zfyC+-t^xL{6mlO2Mmlzfg$vtJ2c$WiXxuBL5>-PmvKgqdwAlnuDJh?ef0G
zEqdwqJCq`kjHrBdVL+(m_nJ(Re+^sdRf3Wly;OIKj4g6))`uxW8<e7<1D&5Ir_nFX
z%M7oTd4P3;>@A1m4Xs;jL9vb<`2#x$eSdN3v4C3@{+eaaC60LLm#<th>8#Qruuf%9
z>gTke3L;{SGJJ<ei&%m$9$Hv&aC!AyB0)J*z-dl(=N-aIjBlmK8ch`%T6jlvrWVhc
zSTvOivOMNsKOREnS0GCoI8lx;PTp%54BWp7p{Fkq>MKoHd)%(Zpx7_5$ljo-`#r9f
zgHH{mQnQ4Y^}Kw6`@su4^eqP}@%pohrVz)qkG`7*SmrJIS}pR{+spX|@u@m6Ok(zu
zB|8Wf$gpNxD>83QC=(kS@1F;dh$1>0emV*GvmvV{ozz-i9*4-G6LveR;fujPPSE?}
zaUxYk7o!hxs-#M$>!V-(qQ#QWCp%oo4!_QB`P}-V<2r^OUORz)ABGp;_Cq!oZLbag
zYrC`XNuFo-nGcdC|1>dfsqNTYjf_u~dI6VLLXQU3kDegoG&IU!EjCj7GMt0gGYfb>
zQ_pUTA?4+;9G%v(skQ()8&eOB`BOv@3V>dN>c4{1uTCDbzC06+E(PuX>X86H1O^VH
zOrM&qXL@ri_X3>?cDq#YNCHP!0<y~*^U4wTE~!x^Ui58z=S`WR-#cDmFD$JmSZ0xU
zbU#X^ja{)Ce}Mo&?K$-yy1#T7ws~BFsdw7@)q==h{H>wDU4jE~uJ>vhIzY4HTiv<l
zFRJk<JFl--Teu8QcSGJgjKH(?jm_PZUM{8oYYoMw5Z0|#Ub5tUy#(8+>c+k|;JqFp
z`%Bb1$8f0@NQRBMVvDy7*J*L~o`thDk->|2f3*i=&}>F)HD-ng>V?@Y-Qa6+>a0k#
z03W;bE=n?wR>C~}Q3F?SSz!w_l5aa{{tk=O=b9eq-Vb{#VLruo_BZb;`W}E@Wvy{P
z53kA%!^Qsd&Ub+l84}1PKEE5ytP4M@2ZM={GH!EoR>#6p@Dz<l5ergEeCTA)dejJG
z3YysNFel>Hm@pO&VRi6K!u>jN$IZcD0^2=qn&(!S&>#QnJjMID;%7|Szrmub4PuUs
zcC`WrMG{LRBen#HPLV%+|Gh=%A}yi&Io*C){8vm2lgAe>FM=L%bml0|%9AZJ2QdjL
z!cPq_o(vb=qp*fWhkfDuL&x~(AOA^Je2Mi1PmkojJJ+$>a~@loTk*%?NW0)*#@)s7
zlLHCXo{=XY90nE6mhvd;K^&J3{M&nLc0m5pDSedfc-)&2t<JP{ZRjPs3Jo)`WU~yN
z7U<mps0N-O1;%;E{4Msuv-%OD23Frlm2u>|;YFDkOcgkIzZRzx%Tjyf9;b;`?tG$C
zfgT%YbZtTmxqj|@G-mdC5^pUSq>|cNZsPWC)x$02tZl`W2+&n@durd8Kt~Pk>-!_Y
z4;wNH3JQxXQ`P^`86Ox$PreW=yxefoGY@bPury7{YukzCg)1UmZjDXuKW}v{;lZQ#
ziA3m(U>_;F`#VH<b>u<@7R!?PqRNZtgR@b1lTnNn`?p~5&!iGdHsD9ur6QQ~!L)VD
z=7hY~NTvwPXB3{U`m3S3m3&3Sv;_KlW1)1z_Mr?&7Pm2qe^rZSln`NIXo??vC*h*1
zS0H8?^1XmsT{gH|X<nTD-tOpJ;KWhQxJ+G;C&4}dDx@<dPDh_yk)`eX#3Gq!>gr|X
zFOf<PeW!6LW%wJ^?m?;#=tTbonT~+~J^3XMOYqh^FWVPzlYi80N2`T9Cow@vcz2ol
zwqbee>Z>Eora!3Axe8~slT#~TVQwW7(JH1^US%$G`H4bz32-#F<DX{RB8vK32n6_j
zV5DOBhI6G=4yl^#z7fq5`IDH5`lB~czALYv?t414dG9TmIK{W2zbqbdz7%L_{Z?tM
z6QCw_KVDF#jLvGf4}ZnY@Mz%wVC<`-qWr$EDJ3KXr6dMHKw9Y@6afJNC6!iMO1c?B
zr6dHDZUkxRW<Ug_yJP5~yJi?>-e>&i_xJC+7R!HRG4tH#+;h*_d!K!I%6v`xlSKer
z7Fw-b_8aeSjg!UMs#^g%OV||#rUU}_uzS61a{Gh{_h_JlK@V;`y1X_TI_&~ilb<dE
zmrfVVDWI~_hQ2E2$=w+~(|-M;X$<r8gU?uL^I39Px^qtfXRHfUW?X^bZ%Md*2Ujre
zjfjsOWRo(jy#6EA$~8a?^8F;i4p1_kUQhqJdm8bh`0>-=P!5|w78`nMYA+fx9$bmS
zhw}*x<ILZ9PoU=ABQt!pb4Lo!d(j~-uw_OThX3%4z5gf?hL#6n9xvbIvJA0dldab^
z*t`P;L$l8xHpCEBBJRs}b7grg&a=KGb-+IC_PntteaPiL6ta6Z>v-7*Knw4<CC;UM
zT*-$>|DCeJxJHpYGjryTI$~n|c8AbWpLAyw=r@i(1cUtXbfDg2E27ZZpygLtaBJy|
zjB+?1{E3yZ>eyz!cmy&-Awq;})TCD487p10pZb9w$%&HO;st8u7hHcvG5*w-tV0x7
z-p=&xUl4qhO;S?OKyfml$=<!sE#GA4voJh{psQoE_Sr2mu7MYW867w5ZEJeH>$cVa
zAlG5)03O10cH|M`q5<CgD<1;@y#V4L^t&Nf>^?VIu_6d;WnAX5zjh;4n^<anJ*oGt
zpX-POKkL_S(|c*eAE>yO#kM^`caWSoydFCbyGDAh()RV84%#3pJsi6IWUT*c0+)Ck
z1NDbdO*v4M<P8n02g9N2R*+FvlhP;v50^{9hGm?*nm1cvurxQsyR&y*VUX(f@iP*U
zEgu0>8(oEZ3clf!Zq5wDMqt(b&892x(NqI|fxJ}z?OOnG%vMl)`mb}SsJ>cLL2@*Y
zv9bdH&xCFAU?&KvhK=KJsmL+c4`mHL`gAcFdxcMo-2d?%-+L5irFW}F--^L}j~Rdo
zyM3N-d^>;p9~^=^L?<(76+*kb!%%g6Tk`<9#y=bMQC-5oo}|&q=|OH^s9(7*NnH?f
z@Aj}t{1~e(n}3l>Pwv!MTzBfJt<|^#pqE^s<$ZbJRT}kYI0*Z<GbI8~xI8I#9BY=$
z8;+Gu`=u25fdx^;M&jn4pSJJb;xF5oF8Mw0cV{wsOy{{aW0PWzvLft1le_IzKDqzl
z$;NatB;PDFd0|#}?*dZ1|Jo00_11~b+~+0SyD~!bFDok3Y42&3>*mH*k%myC*6Tjs
zz_Z6DP7SuFCf`nn<Eh_Yo|lSA-}ah(sH@x)MCJ5qP#=&n)TjzHpWJLHuY+Cw)ffSc
z%usT`tR{s*h5Ti&TUCpJc~6W<Wx~V{Y%dto>KSs>s3Yyy_OZ+xx-P@Zq-@j@T?D#a
z7(1kc^J=L!8WFDZN|#|Bj^b}P_-Qq884UKM?*IviMBe+mc>?5a;KiL4OV3WJ?>gFP
zZddN=+8R|&zo2pg63iwx!Q|_ie=g0$tY;QUmC953J=TM0;w-(AG5Rq{WxS*jC9T)r
z|Dwv6fr+8a$RA+=mIP2(-OnzV6W7+~|4HS5XNV#G^o&E*E_$iT3gS{?H}Cc$YG$4H
zkMIXeT$JVXa0f7XxJ^yN2T20gv}vc(Af?%AiP<qe0nZ&5079&X2VCydpDb3w0rxK=
zF{Ai<f&el+T;q2uwZq*#J}GAj9d+rY{ja{IQtIx{$dLR7h`A^KYZ2UZ0$k-Lm?S#!
zW8=LrhQL&6H$~AUFJP0j#2oQ<($J@WQe9##{?_k$7)=(-|GxPUGj2^~%h5vAm0R4-
z>#c9r6I!C!Fb4=1B#;&roDS;r4KEN(XRkWbeCj2BH=cyS08#;vNA;W3MW$W?nC`ys
zNappw%WaNlp4qRc0jvU3WLVhx_b0Bn{PEiJO2hIU%mmy3b4yE6vY3Klp1a5;i?{Su
zvyA2Dy7Q`9W6!U|eT@^WBX#)e79=qBGL2fAQ~ch)k{OVo`1Olxm_ZnHcY9BZ(V<XQ
z$AJ5b&mU!~{MqaH4n=q;<{$+Hzu!kVcZH3zCFO1{@2CnFB;Wfzc-?zkr%XH*R@PXg
z!im>~_jhT7l>>Hpyw>ffOuoK|*kyBzHXhYi96UCtQN>369~c64lKhPMmeG!P^R|@J
z9F9wH!9Onm1HJq-)u(*#SRU^TY|~JO!AO5e-})<*!iMxUTyK!k>{&vJ70+JpJBK0$
zJ4sSES}QyqIhH@fT+vR>PHp~nDjV0*+cv>uzf>jG?s2#VzIoiU2)4fsKkm&$;=s?J
zyF0hEW=v}O9NL@Tav7;K+{TuvXV}0^xEmV#0Ggh#&6oDkDr3b0voLY3FUzXdIQt%<
z-{<dl|2?V9-3QBqP-Fwj^=xu-E%{Xa<4nRzGBtJ#0_X?;!0=QuzgZHlKr6!?_@B}V
zooeFyRbb*R1y%0<QdaV<-=Z~Ym$uhund`<CgKZ|3V}_dyRsq`M*`v%Y@|G4tSo8VF
zX?lF{TGz6rPSu=hUS<&M-#3W;#xYL21L*5MsoCY<&Kj^IxN>Y*SQN!>(7e7I1dqnO
zdga|M82OxNgE9@66R|o7mSP_KtjO~FZ+nk>(>eoZR=2v$ehNm@Z`ru3>e2nC_Iscm
zupR~2^%x}Fqm}%Cer4*t9-SK`FYs3J*X}D{+uQ>JbigOcXwd&K2#!D$lX%Ur?<cJ(
z6XSfIJNESPiS9LPC!A_e`Q3rop9jvVA}Ps2jg5=NBPLmR3<)p@_ymv~F~q;WPg6Mk
zytVrO+!$O{SkU*sBv1Z~O%}B}OHix*U3V3g<`gJ;(}j`{2&DgXh7|sqc<6T8Vs>Gn
zJ-0`&4>G)zlpQ~935QtN1)u(-j`Rq&-o(xCdB1$yvs1RN@;FC3!S-p%bCD;iWOo5v
zeux~qUV=Cy_}*DXTKog`d~LRwh@DESu6YZxM~}2NH0-MI2?hV2VK{iBH!~*}YaJo=
ze1bg=3EhU39W+HHd9#viT@Z8gJ}NA|CwcF=8==Yn)Ie`}kbl%bs3J)OLax`*nx*>v
ze@Z5Rm6anTxVUvPup^+H^6;D?*!(Ns$m-n;@+hKg;1huZW{r|bR>`$(Tcqss#g#r6
zzqIzCez2j>uxN!)M|<qn(PRp0gE;{^5BFbyZ+r?stZLhMU#5@=j<Y(|!rzvZ5LaHr
z#XXovOCx?7EXVQOh7inT*>uE}uDhyMl)GGP@hs$}BGH9$D-BBPIP|}s9r)K(NzU$F
z%9+@CYiFWncL1DfU~K(yPB|Sm#oJ&Jn#tOYjcWsvtxPV^lhG1rQBYoZ5Vwkj4n5K>
zT{md-=<f@_J|s)4t|VX62j4K!DU;eYZJwkzF01TA;$=IdLKkZj*izU!4%@FY;oIQU
z|K3!V!SD*$P)(BG>1oNNXiC+Oy$>Gm!jL?+&kp*>%?HTg<5raI&X|-Mcs^3J>)R2w
z>gck|AzB93ZTHWqIk*@d!J|GS2Mul41FwZrSwC$3ZjoCdaZK}$@6v0IhU{;Vi9O=&
z@f=KMe?a-UYf>eLT&KU!>N(zkmDyfevjA;}95x*u(;xLNw5P7X1-{>iK-M1BJAaDc
zzDti`X*H1h*P5^l$>2hgIcDbQG|t4_vUFu;&+K|T2DF0Na=v)H7_q(y@Gn4NJbnw7
z-M+ZImLWF+_e|f9K3GjX+QliLaz|DwD)+Pe%P`nk+nQYgu|dUI3~x{8w7o>cfs3?f
zL{v;GIY9#}@E$W-%!`5rLk#gXakH;!Q~#*k<2kC(Z=GH~v8@-D8;;>-Z&?0_ot*mb
z=ShIQ3y?m;oUS2{J4Drw@^-BapVdQnGhbn`cUL(q?irc0ldMHkfTK&AN57g5s|qFn
z>cOAU=1(QHDC<+7kp8Xt<uX<Ac0NTIt))%Pnp&`@F_5$0>)Ee9UK1npW6D@Nph@c^
zdw6pr9_W~T?`UWfdU+xm#q{^MSyi9+32}{m-*3)jiTnq61;~XEB<pJr=04A9Img?3
z0<(qB+k{Q~stlPm7{3P~`%HQ4Rsdqf>ACALT*{yOfzgu3Rr*)%T!!K)hg&aS9T0|H
zxHW~|24eHiM%ef&XLY7WRypfLF+QEoMx@BVb1|PzIffs&1yxXTltTr<c`{t(=RtF3
zMvD}SDK`cK!?)9oytyhwS0&oC3AKQj`0ocGYDd`0cc)DDLU-%j68)1p?Obb??gdk$
zl2U2L(pCt#n}Y`7ilvCvm|4j{+w0ts11%Y<e0j}0q~s-0!fOa)+<!DyfSevdwsP78
zI*(afFv+TN*se|{oEk-NgYxD^A~yQ{pKx;BV9-B0WmhAI+TiIuVAgk9y8fug(8cu=
z3HATZj2?oyJ@5N#=C<SOZ%aFyEwMPUuNps{P4S|YcxWK7nAo<o@%+2U&uUPYe(j`<
z)5C}&<RZ2I*AW%I!U~-KH7J4nM9<vqAOITtVPVYQDwrb0s5O{?2;lPpEtr4zSAO@#
zo?{CQa%pz)wA*rZqgMIG%=1}menv}^$xU6hZc@phoB!Hau0O>ZZ^YZ(DHw`{T&zSi
z*=)0XHnn3K%XtGS5eQe^gUyTZ@b)q<^mvnD_SRj$jjn6xF1cTowZ+RqvP{cC;{U5J
z?`7U_uuPjjYY23B4XGCws7rca<tam9ri7KvRH<P@HTtJ(u;ND0;G}O<Ib%L*z+~*x
z&NBePjT0}~GN7Mq|JT<5yE4#W*YRS}NJ_)K;nM7p8W1Jy|9zh|Vut#41H%iO@$@b;
z!HTCEhdUcZN)%A$(SLA_w^{(HL&BNZv_;sjYjxTq+rbJxEDt#UlnNe;Jt9ESH6pTK
zbmm(VtF1izV_n(eo?h3!VSiY6<fH#G;0`&S-D{xGvVxRIgLDegzib~Fe|-$>q)Z`f
zSlissY2cQF)p0Vhylu_M5=*=JN9^$$M|u2ds>_AcrE#_K>5F4rvwwg~AWQ4n7ipLB
zUaeV^uMdyy*<7NH<Mb6_<+gQ{bVN6?h%sqko0Hq-o5}4oy%ifFM<aaxEJN}qq4Qqz
z*{p{tfr(ac{>e~q2pU+P=U3Oc1Bs?Aqo9c0-C*8y^!4{f@mt^V@RG1$=@mh4w7Mw?
zf2vZa|AX{&;rO?>B2ZXqz>2^0Wi$RIfq@KTL`g?)b2PUdf0n>kIs0zEBA%b!hy)9i
z_+TTl_vRDjM3ceZ)3567m4k;B5JwP2vb?}K0iZG8h<HLq`ETzM2U0@NUvwAEyX_?}
zc^<!R=4ZY}|CT4J9{cKD|L7FaL)4L>rS5J609&bz2Z%5blrAU<=moDy@%UZ7f66Kx
zqT58~46}JxBEj|)b8ijWgl(OE-#_^X<Q+MwKRF#|mC9qk*|nK-%@k2y_llbDJl6d{
z?)v{WzY3nYVPhq<jXB@i&Zfus1(4_;T*GP&bG-X!uML9mk(DR07XK%rSfn7ANoUiF
zc|`dykXx$=rfLfP?Ay^b)_k+}CJm}IjS7EQ)n^LW0*|TDWaBo{DsVFiOhruI{GFb%
z)(Tha#=><A(%;{AhbaFZ$8r|LtNX3xk?ZZLKhZ~$M#I*<b-$`A`SPKrCErK^sspR3
znjhz5G-+vv2gd&YlvW%9)ekOv^9;=A{JRF~<QPK#Ti-{Si*g<>pfDZ9xLX>OZhfy*
zzgvd-7!7$uF1_A7cv5~agDd<rj5PM|sWL<z*f3=d$mG5z3tkr0#}3^eU%R8pqfIuf
zDgP9R|0;RlDg9r5*UL9dbukE<Y)y3|saV;o_?Vf=b;2n+6Npd$_q_vE1<{c0!E7yb
zj)vZ%w%5FL`c1^R?x=m*=M@vw)WQ*VE&lwu7Dkh%b%{OiyJSQ00X<Fy+!UBXb${8R
zBZfOq`Tkd+vkc+lq6wOXE>%Y?`>r}!k}M*Gy?*BhvjyD;-al|I$;kh&uA({cSSWg6
zOXj?*F#CJpHbp{VuZiPPj*mX=f09$+Pzh8gO4Lx-$*YA<vuN>AdH9r0%p^aE080>?
z&3AhR@B&REw&=fD{-SYM#p<ZfPHn|!CizS7aclJHq83#A+D)Kt#hy-qd&Hq+4x{LG
z<0(2VZu$empGh-@*1|MwK==574;x&<IL)oE2<y!D68sxZJ#>b&Up!YRDCU-j4veb2
z(>MONUbr`j2&Po>Kh(wu3}3(8u1S5%u4Nb1L~sZG#ZNle<YSmHQ59CM=HG0bzrsew
zk}e}t0MA%sS6iNWBtM;!{+z&Aoh$4}%MVq?GA7H1eOv!U+il_)Kl@3vbH~pcf^SqU
z^Cfs>Eg2NB-`_eKn-G|T>XviKP9ns8Pqm`%2h!kw(pTh85pu+xtjOrHAI7Qp3)bTh
z%y2B8Rg+zAXIswO*O%Ch?H1K~a}J%omIDrTpl7QI21_RUB770>L~^$OE2|!3%PJN#
zx&JFR4DirI_Eq%{({~)V<m|m_Hm1M!ax;sFKbFNFW>`oQxs_GBvT?}X)!fap=_0Ln
z15Kncz$I`N$Nf4VY#Yx(#(Lx5t_JjQ_Om7q@sTx{SMiaRv(7Y2aL)r8rn`YmM6L>%
zGvqA-#EJ5yxCJ=Fc!eZWug<BxUhys3IU%bJzdskwRS7Gt%cA<Xzi}u{XXk3JEZ!If
zqJ7IF<C<)w?$B!O$p%=y2H=JvTx@fJWS<SPRhMU@ZVhh}4xT$sagPC*e!Yv&q{>#@
ztO;>{wZPb#TREVlYD#AzteH$#ccgyl`QvPqu~hBh9i*ge?-HM662lvop+CA8$wYw3
zKREJmteVq#@-;KjO7r^*n9rj}cZmOmM<6+|aP{|e<t#<N{cCe!Et3O{qg0iM_)G;^
zfyY218@h{)wa6|dTECW+{Nd!%gGPUi8-ycdy2V8|D&Q1UhufY^1GoMqQ#mcXv}qHO
zK8G$DZL5rA3T#QG=EQc3V1{*QL#|fG{+wu&O>!*3<bd(+{PT0d^Sa-lRx#RieCkOV
z_HR+OcL#~{Bn?CV4^=b3+x$G`z9ZoA(|t}-75Z$&UAFp>;LEoCv-nJAqA_gAjreRU
zE3sOmzL*@Sl2f@4*NO=Kx~NzTlvUxscv$`iqiuxC2^Wmcz{Y}AIF9W^lS^8Z%7ZdY
zflR=J#RUdE_LW~v4aJrT*f?LP-Kq;Z916c7Mx?o(oMWc_{a<m+@|<JQeNvu_)1XLH
z&qZWUWF=T49iGub$QDVBA|(WhS?ur^>cxz?^b6bfw&190hqBS-H#B;uZ2+nM?Tfy)
z1@7NDN$gp8GjV4Mok!?G(p+#ga2+Jt7(hsTb0ZYHeVB-icHF<fd(#;`Ro+Q*1-#22
zRBx7Ukng>0_*o|66+OA-E(~TN{adtaQDMpPmo(!u<xs>UMhAU+;jR(0T8W5CtfK*N
z9Bz@zGMT(^0w!vp$qB03GPx92b*&h>P|vfkI=-Fx@`nEs5AMxS0@t?w;>uZLu_3-4
z0b2Mqv0Lk;W$@QKMA)XT1~@_5JYa@tt__RFA{l1V`s#=@==Y>d+Y8Pz7l0P8t*GI8
z^iM$}m&x_Fs+#3XKF#yHd+QJI0TeU{hLdb@PhLKL)PJ*u>3?PmWl+d7j%&GptJq9G
zJo9(`iXLwvaYkRC8V0Dc?}D!11M&t{;Nk5eQ@|9@S-Z(~gl=am0=;OvaGMxZQ9NTH
ziPhQa4Kd*IeP8h?O-{GJoDUpUOA(FaGj8%k0nTj<uzDAG6JWhJI19}BN^@r%Ko6aw
zqE(ac@Vw8-IrYlPIewYGt@bH8TJ@>(@kX9~>M`GdpjkZU-CFs>hdm7EF-I4T6K1!a
zWm@j8#q`+bu(6HZ>exg@sjE-Cit61g<F{ahO9+dKb~+y^c~v9tok~b%i`BZt=GSo8
zXbv&be_Oa8jLed#wRNTir7+@Dx9e!lA#2ZtN9S_gU+Rj9YC89cly-$ETp7@dX$<pn
zJ8fqyOGeZ~5O?n6Zw_v|q|W9BT!vmn7;czkt0CdNxL0}^V43m0W9yz{s4DzJAJh}Q
zDHSc*yo=I6qO#sqxT3w5d!@6z8Y1pw-BXL{rcAbw9#s6!mjrRfeV07DS`^B!x|tEq
z6)`FZD)=#Q<&rTXu(n^NGQup<7<VFC+uQZ?N@K5Ze?~%7P*hn!HIcDk(nE9JXpFdb
zCl|b@bW~hobQcoRy_YE+wV&(FXysMfm^S(q8fkG69c4wh=2&~Q+o<Sn51MATm@T0A
zy7cby*RNku_JHZe9N=0p@ZkpSo?*Q+d#wP@Qx2oCc(E?Abg{xpbAL)Qj}tBq3&x|b
zI$8H@x@g(H(5nd$8pDHc5;U-3i}TyxjZVy4@AquQXEY}~qj(}<{S!3&`n8tGJzI-n
znc}Fru=&F~zxB=M6!(EQuTZ<-z3mT>cJM$7>4VlD5c(iQ;9FbMC$zE3OLBI}%h*wd
zp*y^whwLAq@>Orh9tW+ZLCp>5;Xd(??IVO-Y7&YPZxoRxWI<$QI=|g~Pq2aq$<CFO
zza8R3{*h~tJ<TB9=t+um+>k>$#5bqV?>L=2Um4@uK?5h~T}JJvADa}(D4;-@K9_{#
zk{cZ<x+VJ6ht*|%yU;Y>qiz^ve%ttb-yCYZIQmdbv}M7r1&N9a+$Q}tQoJ#0=q{+M
zp|C3$pQ1vG#S$La5m>V$W`#LgkT)Q?gf9)OnGKE-qbjr&OZ^MCPett)etF3^f7XJ&
zPrVR<1GD)h0Ed0+x~zY>|1b86yL9)o-Xu>+nvrQq8FF@;56pc1+99hcQxJ@1V>p1<
ze?V{^x0Z2H<f!L(HblL<($U52)WZDTMw-F?C&NmZMAt*rjVAKb8mCdq@`u8|8Ani&
zlKlO%<R@SR4oaCEd*HrilcPQNm<rVHFdZ;|77@rJaqUIhFLA#G`0n$@;`bk&*~}_T
zd%xy`&(hDE8e6P~vor0EFKiYipsx&X|LA_QkO~?#)B`J#eXLQK4Fn?{+kOvTyMQC;
z;SB4bQm8oSx*TT6Oy=~w2`+P*Ut?FF?0Wp``5mS^V|o1y$0FO_ydRCWAmSJ8l4cJ|
zB{bw1eYL1I_rTndH$C8KdbsQkQJh@}O3k1o^vCfwPW*~VGO@XXsYis&@r?VHE3`D7
z_gs2?>zY!_HaUt;Iz@Ul20>T1Y!4E)9}Y6~LBHqp7{0qYM9~>uxhw_}PB=Clc7kG~
z7D5J&hwM|_hMx_5?i=UY5g==^zak`rY~+z#C%{t);NRQV<mJK-OOfwBtf2g~R?@4u
z)xNO^2Eg|S82YRhyhNIJ2ij{*_sMco@jm_7M_;#2{qu+8^~6`*^`x60{fmq5g07D1
z@gZr19SG_9Iih2-<FXB5F+;05w7G-GyCjFG>K0MpPkA)SnM^S?D7lN;$7^(~<@vpx
zADccUB+RgWgCEEb=t)&;q&b}59M$fze^%;Aht6y~X2C1A@r=NZ#OlkE`sh>ZpF~)t
z9;OZYpH*HWJ$>Uxqhag?mf`FARL7`PzWI}nP_Zb$^3KXJ-8vC+H366e`A+OcZSTjb
zqP@}W6yTGan>%YK>~o;p7DAcFv~OG9R&s@T-Jv*E>tr0^x?@WwNyi8#>SM+QtTA>@
z!S;jR{m0id7|LE9rMP*<wPMvDWv7Wm5%mL^bGHX6ztZhQl6C}DLbi7>$I%&AJAngl
zXAW!WoJ;ddrACiMzp0d6<Y4j$T4Cj;=mL`VQ?XA-I0$nHQW^y06_?5$0%!E#jk_6~
zV7*t-Ud$=mrVs;C(aGLP$c-1~Si}H8(|Io3@v{r%#}vXVh^wB2TGH!qDbHEZtE@TN
z&WO86dwYkV2xSif1^iIAK;V0mnUuYm`E=mJWzMyEzk`M&^lMAy6llbh=AC!##MS}K
z*{lKRFxrbQdfh}@tclWk9U3tkjoDoW{BWFQHV@2f*iHP+TH|-*t{*K%GS<(A8gD@Z
zp9BR1h)H62D~ERm`<Keb`w-WVjOAF`kyWAFy~*E{)7M1F+YDTPKltQ(3iwQJNF!yq
zEQh-<zHk<-whq#3P@jc^k??vF!0*d`qd2qc-PIS*YgZzn$Y}p3Md&YObB$3aORbJ6
zVrs`UOzB;g5St(N+hFNn@PQUSej=bZH16dH&V!os1U!}c!K14GGovjlG0$d@xisFX
zRj^;Qa8O@y_pwl5TelBjl%bC9hoK_H_NUsw#Z%K4Zt-~XIRwdJ)Hg+QeY!wbLbwN3
z1QoB*OURtC2a_j*XS=hum{VxFA1>cS(^TpEK(Y%Rx9Po}Bs<24X%jwcEsRJ_5F?O3
zM6vjB!owKm=WbaG0pjp8ROt0&0b9Iovv;p@o)3v_E!TGE$G$PYxo+Znh(Z6nI){Wr
zm8BdW{~!u?$>OM^w&_kbBc{xB-A5SAZkXH`^6cc_u*jcY)VTHD(-eK^I}|p|aMiU-
zsbdHseLN&+bhkK>-N(Zaat?z)b_dZrgAS`2<|U(Tq#Jj0n%=Fuh?w;Szq#x+@Hy7-
z@0Zn6#G*6!c;g-iHV<CFotqxr>e&kH1v<^>Toq0HudpFG!e87h$SJev=G~t+Fq0_P
z`$mx&nRL(e`iLVGQ1zSdqa~}j3v9zOA#Itdbj(-7m;yLRnc>;N;Hs-^clv>K%brY`
z-XyrXhpe|?g!!Vc+miC6%+R&Wnlve}0%sB$@VoLU2eq0&+EWC=wKu^oRy2{;#C2E$
zYxD%xc`x~r3!<o9HZaf$PD3;BQi<!|{7#Oo=e>Ok1w!?;W9XNkE-_>kizruz*L+Fa
zc=1K|iveh{On6vj@Zu7DfToZI{G5p8@>d4sLOJgqRkM9#zpz%aXgN&;BPmSVK*xjp
zB8CumBcjmy97y^+(r{M*y)015xT=Hlt+`lLvxi6xW8&iQ?TU^1ftj^etXRsU{7J78
z(EMtOetOlLNM8Qw=0S4+pLjpjQIcDuTUXRLsChYO=4ryppi=9D`(G~Bsa}kvKl>xk
zSHwL2?exoswg1Mg=zG@y2b#io97rGZXKD-=yGy&J#-e<Xw1wdUfpi!GzQdS=OY-P7
z-}lFpFls%+L#;tD2KC5`AecH%B9X&R01=`{c!M~KhQKnd6-WHSJFpVZscR05e5MMq
zoQ_@MG5dlQ?f2%+84HG4bob<gF%)9yrz;?ELD#10K2tR86;;IhpSKGL?o6)psmq*2
zL2DK4b08@$J+Cy_FNALQf%5{kHP-RseyEzSBVn`I*Lkub>Apvt)q@c9vEy1f`EqA|
zp5NuHECkqhp_RB@hSXS~Z<9?`Qg);@dm7+3Jgnn5oOX+|cKV6#n+oK|KS31eqxEhU
z_S9Q%i#s%Ix>#AMZLN$xKl_m7<>iE$d$Dw*r`)O_`}DR@hff~}>#dn#c<r!fRJ;_t
z{6Oq<Pz|s&OP^^1oI((ck`~Sr$kz~VuqPu6k@g>AMUev;)P#G*N?vrc=fxE))p|@&
zb6Pm+nxTzrA+q0~<Ox3)#tZB46`K?V&KXMF>wO+y7mp2w^GyQuGrZ$yu0^C7iC2mb
z5)RnnEChE#H7p;<J=EI*s9xGr9!TLf^duqzpMW5Q1S=l};MvXahhjd=qC)SZhQU8|
zM&;_YxjGfHVnh!q@R}BIKHS(00jq>CjD1sBNi>s=1XpKj3(d}b{i#|VeEIoXb&_Ge
zJ$eI16aWtXEyO*@-UrTpOdDT$_+Vs2IX-C#>B6cQK`HsDn^pG&+9#MV)H|IBIcbj)
z@g~PSXX;qoy?lsKROH#sCS6eeNjb=cHx8(9U3_2k`08dO)vUtO*$#an?>XU5ECxiL
zei_A_yw`YZ{(zN2=49yS$669sA%A9m`D1W|Afr_`tIg>z!5bE=a#AN5iPbWg#I#C*
zAJ;HH8Mh}-vA&DcO=u2Ik8w2MlY6BjEko$E9fG#~;So%9y^9pD5{spy@7w?E`1(?q
zrJvV0paE~E_%ghycp`M!Qc1b@o2-I-VSFO{k&$a7AbBH}@TC6~^}XoO1x6Z&u9J17
zdAd<7ee(EAmLb=W<_W9=<+8XKjR@JMKyq%t0F$k=m$-taQt6!lq`}OfXDyFeQmrAq
z!2r;A*q0#VqMoDTkQW(q^zvb%6}N3VuVM<o=zuYw?+84g)KC$(ZUhXlBWD-AMg5zp
zojU=bp+fLjFrWS1FeG{%ba9zd;_3ey{qP!KIZJVrx|rzDUIOV<>@tS4G3CY#CQjX0
z=;n%zCx0~JC7ktS-P`!n@$uf>S+7X=3>MX>!fNST$XNl&5HIFrVN9jnKHzDCLnfB!
z37T7A`Q^SdRX!SB>9I0-PU6+5(wV554MPn>n&_`V(!&xV&N9o$UYAD!tMfm$pxww-
zRl-9x$->$r#OJ?&2d=7G3C8Vn*%&_-khG_y!y$wUlfR&O^yuZ7UNcF$EP|N7fFFM!
z5&WwS<<@jXvsar&7_TR7E{^xT@{otlu}fa3re5v5G8Z2PI3mK8H&PTHVo0CJwNFNK
zMj#0%LBUSVD}YHd&@A-oO}q$RUp?POc9FF3=)Y$flK3y<I<QZ3$JiHN2CoP&P(pBE
z&BNx})v<KC3$GZCQcVj-C4Nj7KdhOYni!th=<6B`HjNUcGnS{6?hL&l&CSa7h_X~n
z3%vpQ>#a!?_#FcH_ioI*P-1d}H7=Z%GKtN-Yd0AdLX@#uLDI7d?P6p<Jgbq9yv{y8
zlt@N-Y3rrQ(NVHXp?g42BZ?hYI#K!EHTLaxbnGc^<2sdd>b%d<6ZwYQ=YkaV<Q)Y@
zr9$r*c#yy}1n;NX#>3H8c?OF-L)~>FbsxVISU(CMk^#O$Q)bf#I7D0cX{leLk{FP1
zIAjmLO>5%2R1HI|i)pYj{P+?6vDfZxTj{;|mle>o4QPLg*nZ)%r_(c*2Sk5pF^~P?
zhhrd})Q%31qe(zW6Xw9I5^kgu^^!fZXpUuXbESugGu3lB4l!jVh`wm^ba;WF*Y4Q^
zK~DBvL`G{6Z^sbD0gybFhasKB*`rsd(FpkchZu9g?$U7N{=}?9$yFN&wS;j2Y^Q)M
zNUbD|ZU6i%u)`Qn&YbprS1TEg>sPZF$<%n2#j2sZMvzUN{z@t7698!id>X5`4+yHc
ziuR}qq3vh)uRh}q*R|*>EvG7N1uysOd0uzBmVq$#m=^)1ZeF<fIYm>c4(holIq8Qv
zP2Ao22t8+mb5^Y(HlVJ?%Oo#>O3=gq>QcHL#nUg8Vo--xG355X;xlP!LJxSf9H(Gy
zEft*4Xos89tL<0T`@5r_SwS{g)M|d!cca)00F3FCRM7?<0rIIF6RMaXR!BZP0J8cp
zZ}R~#I298A#W{9Z^vU7#1s1^VCS%sW517uh685*!Sxu1O3`wWox>N8Y@<?bY8tqo9
znEqMlVz&Cze@SAx`ny06G66J?iUT877%-<Mm@m*wsR^aZxvEVyhP84%8Qm6#U5)5^
zYwVH!?jU7Zk%Nd-7T4{df2tB+Lxqi}elez^T>#P{&6;`C)F3c`S1TeoL@vv<?*%lU
zvL$bCcg=KPBt>A#vkvOsFU7??mYv+B#7yxc2{GcJ9YUILmk~J6x{1b#$!g@b<3%YH
z@U8Q@3<0B-+ze{$rV|EE9i~M`&u8w)B5YnmHUmaZW#&=A!B7KrkR)#4yhcEa>9Luc
z;dp&6+tctYo4Hh-dgA+1rCEFH{lN%!128^zyFg5;tY5H2h<3p;weeHd#mJl2qS5)u
zUHuMotzcNDMjQFDiR({SB*i4`w#)a;pWUX$5Wq!6$!~Y2+5@u2V}jW9FWc(PU-qj*
zFD^EYEBzUd2Slt0rn<cjmE7(N>v0x%#RL1MzK$c!SdSN)tJmGmu?q4LFsdCq*VYA#
zIOGhX%KCteDVMqk*|UBEZ0W0>Ihje|tUl~K1#2VW*Sz!576~TqKb^X+`t<zItRQEb
zMY4$Q%I@L)Q3KE4nyxmG{06k)EiAZ6Cy3{Ij=ptdI;}GZQnN}aYq5GN=KJI&H=6>h
z+m2UTVBYD^8v?1$7fT@_O3@cBd3DI59oIg?^_BcU9;q7)TVArqw?1Y$m~!vFca@j=
zCJ3zm9y}|M;i4B6f9cZ)eiOJYuo;!91^DZOi;QiC*aE2&9=22S=#B~0Ee1iom%})X
zpP{^K4oUo_uCzj~&9-lT^nQeSeGO`rPec|dS4{*Mse!ZDG(X7osC;RXD9>xUb94_z
zn%!Z>zz7pxjNUkSmHj30vj7Cqs|REU4MrS#w&>c(!^&rZiDTN~szw@O3%tTV)ZN-8
z9$}{M3eh+_gz7Xb;bElVBaA)1B*&lX=^G#WSJwA<bsC!Uk)xAdfBv@4qh}Se4Sg{9
z(G|^?2!^6Bp_t2B*^9+s0V{*Y$8Qv8^VAqlXSNT4h8Uulf9=bo%mxAyav)=q+#q>*
zn}ne-Rz5j3D0Tl-lq@iK&?@rw@deQLq4%Au;ts7i?^kkFEj^QoKO3hvm4M%Oi+xtl
z=SH`@^{kN7?SiA&uxn%?FJ!|c&2S|~+*$G=cO?PD@)rE%GDqJ73@d{nrWm%KhxXcb
z#GKUv4$^@uztdf>e(!avAw-fS6TEXEi;K6^>{uRrA`o?$t5X1ma7=XQK2)uKiLa1&
z#0pwDai<eG2);`0JM!ZA*0fRUzg^4R8<k!jZYHKKi@q*OR*^;K6zkm!x*}|`ICCz2
zEOC*)t-J2I`ubRZJx+W#&>+dS4*d|5xA-1G>yR9#mFg(n^~U@6It(HOPYu}=Nh#ay
z9EMdT=^pe>8b0&zx@v3VES!=vr6Udvc2r?4X;Jt_xjgN4+T}8K2uB?l8NGO%D=f~K
zyjzf;uJ7GRZzZjYpY5au_Wvvta^HpL&XsdZUP>|5ti<mlz|v@HTM@Wi3$j=iMdk7v
z>*-x)vi5vE+r|*``NbzI<00_RH`kHyU3mIs@IEkQTDJXb7(Qvfh1lQ&(3~gK3`C@C
zfvbxtLMmp$>?3nTokzt75pGks%%X%DgECwzS6Cbcy7(7IN&R?zKzAYrEQH<w4=5jK
z9A~{we~l(ixz1mQPE@sJ64QBAx9}_dy(>PvUIsG(%yAuz0`A&xEBM}fZ<QR#>uIH@
zv^J8V-yP(yM`_-qdx^KRNE?44Oj5_f)06XkquG~^$yc^JH<Y4b3AtU%2)xcs#ot|h
z9S;XKCm^No?L|5*e11XQp#IM`Oy~n4uLs_szm!gA<LjGROxpED92S&4G6ax;m$cDi
zCRKwGTcC?p!WQM4wFhrToXt{Z?EE{L=<+|RxJcw31Nja{B|#!*`hz$oID=U#>vQN&
zWvJ`4>5kE(7_G5fUjHmRI^($Mt-e@R<EK#5i*hh}1zaj%SoeTySlr)Yv&osRp8AWE
zZe8<YG+OBRHy%oewh!9J>W7Gf61<Hzu0jv=pCAPW>gl>ry?qZcf;ZA3O3Ys7R}I^x
zjbC?qHIs$NW;-uJ2ZYZOxH%hduk^2j7*W^9e&Yl#vBWT;EJ@nZ)VX=MZtDzu8z0Qn
z{<y{`sg<_YwS6iB#a!)U<`BSPFzw%a)?3D4LH?`gTl*lds&qjH2T8rpf5pwu(_3Z0
z)dfRf>Io<m)eAL*0wx}?M^WgPRp3L)w9OqyP9%ujKlhV3k*lI<lhENjpOLRE?flZH
z*?oV~+gVkO>C9`I)CC3`N4H~dri{-i-e;)TsQ65YK3NgHH1L7>o%c7cC)=LozT2#A
zIW6&noaBHGDbfyLfhQg@9SOID2WCUicWR7}5?pR;B%kMT4r+b4dDT^~nwe@6D)>M_
z{1in?Uk2i`T}zBxUZg<3^7yDsn=SpymE<*A#89OT{d5|~7&2+>V;_l@Jy|$!@nDib
zfHk0^5O9Xem1&sSl@w-1@(d_Mcd5SD1%s2)=vsDZw}0x#epGTAk8VgP!`+M`5h=sP
zv(YL2cH<t|H~BOtz=v=z6Zc3(79%4*ZyF{d&scvvAf*J@(uk@=Uw#6HUm)?!7<wNx
z0^W57%=o`Rip-ZE9y%dr0mIZO;98;1F6&u<^_be&xUa+>y%HA}XJ$@%@8qP(i!ENv
z(X}gzNt%L7syi|nwQ+Bp9z_3Hxa>~kr^v{tjV($MJy1^j>X&=rs<Szanp&EQUG4Ur
z6)zmjT;unSx7d8o?;pi?IWY?)sHSp9s-|w+rhoNnFkaEUuQBuVv><(T_}MKlb*)C{
zG$)_r32#?MZPCJAO+ck?wulcG<){ZSi`B|IN%Hs-P-PVFCo2tWM{fz<P?;5Jn<VmC
zBV&*-apik1uf05}LzBHy<-L=8c>0FH1RNhD>~p_@C{4vE{KiJ~<$?R-&rgOS0tm>S
zOGc5A?_o!^5;LOZod?=t%T;C7_sAG6z8JYq)bA9=LESTbk}xW(abJ(b({lApTis;{
z>T)yJOY8}%yA6DR+%CHm?Qh0lfbnU+u607OQE|UH=JhPq;)ufpeXLa?fcgNfdVj&g
z>a6RbX)cutG;d{RdAZ`+8jF)Fay^Q9>v)+mlMS+erQbaQ&0D-?5XM_Ito&l{k)mFs
zQ*Utel6hqgqrK_gYdFyE+?WpI{&YkpI4EntFzup2que#aqQz~SFWnQrlIrk#wxwBA
z@L^lXT?>98&DlqrUSvlCh+(s6zjcZMDaVB`dd5lI1?ws5m?SfPkd>wm)#RN!37t&}
zEy{6rj+L}X+N&GmxNwXB=BR&$0d~<T2HmxHyo_|2OjkXAzy7h0A%jP>%oT6C>Im^9
z$^H`*f%ie=10ZWNeMdZW>|wCE@yg&f`l-n6kt#gu5ypJ*glNOB-|10bY|)0EfSuu>
zWE3#<ZOV=3dR%j22D+RQJD;`!joUJ9fyX2BZYgUt_@DfEp6;5zJ;bZg6^c&6y_lqs
z+{m;u%P)t1K#26Ca!e{=BIDHo*!yvC*<%<{xdeSqv~WL?V0jfWdLFUIG$Z-Lr;!XH
z+aaabPfnJ900f}qJvmq!qTU23RIT#67z@`M9JsF%wvXNrNqw&``6$RUc?O)K3`jZ5
zrlIJMq!rYr0s~-qt7(cK=m5w7DAR;lbRiWl-lOBnDI-=tYp0SF&t2m+!7Cl4{6o(I
zj+@rw{;4hZFj?4<9eXfxiQ@FTTA5oR<|rmdu)qG!u@cw)FOr#0i-XV~lzy5?CuXd_
zQY4N2q5MHIHBRinO8D)r&>t)R8O~Odp`s&86FTh=n^E<JvXVO|iRA@BK}V$R%f3`g
z-bj=mPup|C7g$REI}Wb%o(akadhV0rf2udxv>UQIH)x1Ku!h`MV945f{_56nT7h0a
zE%jU04cMcX)=jI&F_y>Q+Ry>e8RzAMXXWMbaw~QVhot_M#2=&qDMl+!@nYO{Q+v5U
z|N5_^sf)Nh{2yZ9%r8z$#IDxgr@tTmM==K2Ni7PfKvr5DQAb54$H`F4QL{;&yzrW+
z{8g8kT0@oeyWzA#xoU>+^Ou-x$bq8=I%$c2@Q>5o49oLVYF{IU&tekaZTS_|cQuZe
zl<65B&)f@j>Ss<XYza60GgDEi7?67D1!`Fi*I@LS1FRNcs)fZK$U$M&NHwzt0Uiaw
zU&6Z>G7Qz=Ik2MA>W7~6NGpBB3Onub#sLM~+VB3TkVub{Hp7>~<Jl??`3v8hkHpE?
zn+368brw6!c&l^!mr=D)vtvi-X$i(cGeI(rc_$35+Wx#G+0Az1+lU7AL;xv<w>Zd>
zmkdD)foy(ab+mx~;w?Bk2mBzn_9FM%6w2JfG$(iPGr;xuor*yt#8he4xH@)k3rV$J
z`}2}EK)Bv6Q-_?*XSt1g4VR@&7jL$BZL5bMV#w%1S{jL$oX*CNT%130shpI#%hL_>
zJ1oNLuh{)}2f)a-_NNS38l9ZToNeUMw|VyD7E?2KMf?g;yLYbnJqjbKW?#d<lz!<g
z_ofEFi#xvuj2r+=fEpgE=?Xya0NY>}l<i*qZ0coho_7hxGjooksQ2+~^6r)Q{R&-$
zlhWJPT$3JFCH7Yl=r(9SBEc6YUFeUtlJ)r}wXdMJFrDZ<%Ma$(b}#NH@ZO*W#=uZ?
zvrn$XP9IZ;9SuCuyhHit1NrcB;hpHMGW3=s3^Cww)$o>c+^aAjS%mTBdUE>heEaS#
zdK5Zgr#ZLA6&TA~P(1_gmGE@3AO88FT84)Adw)&_88awFkAW%2;Fdnuf&yf=cK<s-
z_?FbTZM#%kZE{A{N?$z#>cx!WtBWp;3HRNK3{d8+QJza7+KbAzNYPrl^Ya;}(m^ST
zB%!W9DhByKFwuPgCVGN7nbJ|3CJoEA(!9^3mM2G2bXl+b3o9Eit)&9&*(kiPt%Lo5
zI{|#DrNj#>p23x~!AJptfK@sQ-ytN-_AtF#-o*dq?za$Bh!wj1ZpfV5!QBwwwZ&la
z223kHg|90N|NQDOoVLs}{9^|+v?UnrK4OCU{J@>%+5<??V~ZxI-w-<ngkunzW&|b+
zMju9>`v4c2P<WpV@0TIb=ODlSc7WkQoioo#W7-Izdb3qdX1j#ZvMO(0YbB28PovGZ
zBsxW^Nd}<L@6ov$<2}c^J4)UK0CGq%aP!k}bPT`x+u``{#jD4Xf#1FvKP^mNl$q>s
z@gp<*3|O51Fd&XOKFSt>9`V3h&Stj1+H~cO8-^5&a5HOZoMdn-PUiR;WXb3?Vluqf
zG{$v7&B(*?GJU@*poQ&`q5z`~9GQF%+F+b=gE2X>IVRF>N*OcGTXPGdNS`RQ|6>R^
z6Z$c7;O^{@%;tWFhRo^M5)3_1t5JtBI4?uM9nrmQn4?HYsox5NNtujl#&zqQCb5Yn
zX>t+>y|1`~#_^(LB~<%vmC*P_IWTivjvu(hCTAi(I!-eYmhEX#{lP8l8{$x-SF3{;
zkt_8w_#S<Mty`VlXs4Rt$3N;H%MY#X6d04U7J}B&Y?aH?SSErXyr8G8H}SqNwz7m4
zXS0=l3eWt_n)x7T1;t+%fQR=ehLUdRh1_QyI&INw(|V6$#(#vEvc$-}e9Yp*d4=AW
z0_Jj6J)q}Ew{yRF9c9>z`nUwVs89<&(YW6NU#OmU2fZX&PwM9`w@r%d-7#|6$vFOG
zpF7pZc$gvX^yV-w1EmeHwE0F}y?nJh&A_ENWJ}MEg`3&&%$YtwYgZg=Lzq1`ApUL>
zWedPfc=+L3q6^|P2^BKjju+d^Z(SbrMYLr=*72);C34=qg-0AHd2?}DS6<7KC|D@^
z$kaERY<RnQ!0anqq<>tnNtgJ&k@s?sGrfrB0Lv!KQEB%+NtAJz5PMD0+`<?5{Dg=l
zCR2H_-<A2o!`1aR7&#nGqalG<O$i)ie)kFX5h$DqveW5tjb;vNNzgUkfKz0Cn$KRn
zBS7P~C`hZs-$1FtpCEjB1}{<c7YH$z^*(<;L9IbL_8H(~O>a^rJ~aE7zSzZ}xl^o^
z66dJNEdOl!mvGtjp6ytGuLw?j$xc9phZ~sU&|otuGVv0>CXC{DT~2(*c+Zfy%kLCZ
zOcgW>4n<2%@Gv|7&Wb2&I_k+e=$KGjLPe3tksZI6K-sdOH)H@hVP#keWHg5~!BlUh
z(v_~5*q0_G^p9yAh9K;oZm|<6vf!<Uo_ni+NQ3-eaf_cKH`GsWeFU5pTD#-5)rm+S
z;z0ltdRePM@09lRv`>$#7JunUyT4o?OBm5_l-x0y@IOF6U4qHNFEkIA4ICPG?~B*Q
z9f;YfZ(a&D2ei|n>`#G0FU_Y%Lxal!@U40+dveC*#&!vN9tG)4Ij-49gfvU0EuLGw
z`Bp<5*u<I{<!MO}^swFXH|W);<DslE7H2I|;TgisX?}?dFQ&tLdXG&#Spj!CTE^uw
z!aLz5+|?#YX*bB3>|d@Dbevq3LxTGuKQD+of+-}wdjeJ`7!T*I%XC<4=-|HN@zhH6
z)ly<kG?)6kd0aSRL}g{)rS3B#gAvsNSIvG(RCNznjRf(%X%1TZP}jM&vMN%QZ8aQ?
zTJy>=G9ifzJ_)ASA>zQVPZq_XSG%=lm-y^KYB@PH@U?5(FZ^tbe80bVyS-Hoamv8&
zh5%Q9@uSx#q3EvI(o%}H*Y-&Qzwt8W2o^=jAwB?{Og6Yvi}4@M(nWWHSajzhul68*
z{ZJG1QNnZR#n(B~r&Rau#@w_f$8-JVwi5K{K8%Qs4cFoAgHMVMc-~nV5<-66H4<#`
z-pWMx2ms60;>rOe$5ya>yXyxnElrbtC)?61hNtKprD$&Ev+DM6tR_cT+|u^^qgr7R
z6Rv5uz-G$|P~b|e0Jm#$JG{w9rfMvebzV8LbY)bWRAVN3F~B`CSG*gtdG1wI7LQr(
z#`q8%kRkg#J3jKN=t-CLG?2*Wr{vKwk8u)$&*d`+o)J|^<H1wiCd9^QzRYAe6L#%t
z{xDd2mpwL3$U=SggYr`BCW=!nSz8(~F{2&K0Ap~(&CCq^51fl}4m)5A2}bVIMWC5e
zd1@EdzMLPlHE2}(x!zvTz!zvl+=`P*Hg;1qvjo&`BvvvvAKta|ubEarg!h*g4~UJN
zFr$p+G<1jq-^)QMFHXxKK8aHL8>IQkpUHS!#&~wVjz_TZi}Jo@m=-=W7?AI2!i2hK
zUN|CJ_#&X_(=xB04XVzqNE!RBEga9<mHpt_IqzPrjLRJ>izu?Q3yO7A<5po2e_+d0
zr`A(o!S$H~W33L#Uljy9<m=aX>BKA7+lPL=e$%_>wY_DolB>SI!@X-%cwP#NK{xon
z3XByV-%9(La`n0%Bq|reYk$fv%2#2;zBX?Cies&L7HW9_^WH8A2f+P97uN@y*6VJ(
zib001-iNjH#<gBB+Lk&oU=9NWNwbpm$dU01fWrXa_bw&qkK3AmzRjILDngi8!;ia)
ziV9oVkz+Qm?UqL$!dNoY$^BIaBkuV=W+@{wbVKM|KCXF}`Me)(uI^di&s}M=%=^k@
zf%8qR*-y@)`15ZA{*?%<w;6vraNUT@lKE~Zbae`D%{l_SpFGzSaKtUY=Fh$B3W;KE
z#DiO|1M3iUBolBS6yP5SN@bghyN_LeHlomA0d?=1*IzSaKh&zfk1TbTCvc=|+%a=#
zbh3VuJH`RT^;05kg+;87?E}bX>Mvg)pRWq^LA7D_(>PO5#f!4qJ@1YT%yM7HI~EU(
zD8KQgLA5Li<bM5TCqu@9TY}N9rO+(q4n4%C-HU!uX;x3(NIIl<R4o-_+q`SvfxYil
zz8+VaI2QPvv1mEpAdot!hb&~RI-Q{iB3+PA$t!@-eC2$w4T>0J1-{J&J#LeTWrWD2
zVI{|9u<_1|JK)H&rn|p)k|sn((c`_C?>SN2?tDf_KJh3w%m{B<|MW49o$v5`G<q>q
z)v?9xT#Mh!tIGy10CSqT)|(`|>>&p0ksOJsv3jqi)=ZR`gUO2EZ+M4}=h9Mfl-%X0
z@J;WYTTHjPd~4H!`UOs@rT2qfmYqy%pvSDvcBUC7Bb2i>h(6sTaJGNG8LE*kO)o3;
z@%?%M@5yssZJEhx>U4i^Mck`({c}MbEm7bJeskdgr;HbTKx+SJ2XH2%zqiwmj=xhG
zDyZ^SN%#2+V@(Fn&M@ZWfZQgI9wp_o>T_csT7TcUhqU%hha4eGw4SuTt|nvC#T*y7
ztza@M$=e_=%Mb_Q=NVBNr>%*j>2Vp|!0jX;uR+CHzqPA4aQTG3EuXm>N&h39D1Xia
z@an~izwi1mSn_&WXNryR#tTgegGUNp$|aUPr82^}I$mn=(Xs4|+&$IqjrO%h?z=#y
zI~&(C@$;v@j8_A;RDj%GM%L;K`Poy!>AFL@XOC^}DLDLG=14wEF3yNo0e*uDFOmfZ
zZqq-we~QT8nCq(PEO}<AJC7D;uM07sP|-9_r;hmEUk+LD>V#}@q|l%*y1;#id3NZm
zT~B<0$=hG`(DRJr35ktt1Cv}AllO0KGr<Vu!b@As-`#aY9YQ?H-_5rRc}Q*q8JL(G
z#O4k$5<Kwdk(`<FN9Tah*1#n~-l+48%Q>r@D4s6ZUekNa`|BnpsD1RTj2ZTR-jMR^
zqf$pXlxp4Y1K47G2u=E<ckNJ%H#udf-t?M@_SmGocXeoSbs5gf8mi#>?}<)Xak}21
z03U^`Uuhn5T;z)VXZeJRN%PK=X{8V4<91C1P|(ZfeQIXE<#NZXODJSL?Hws-Kd@?Y
zxhn%=*3Tx;=rs}4(aSNEmQVf$qChW>P#EXlP&hr9oG|9)ec535^IV|WY2qZoSOpwA
z&eL<Mccf^)6<^?E>^{8@^H{n@+fuRDu>I9FHUyE6H!h1Qt6L5~rI6bB!SEp8dA~P4
zAWe`s@R3}m0?h|UqEJ7VP|#%6mBt|}nbw?U#iGHt_^Qx}q!X?$z*bu&#udMvhV5zg
z8UT-4nEo4UYhPpq*ws>%A?)p&8SAP8P9uU3GF>fv^Po$;4;ax|JFU9i8mT=*cNk}B
z<mf_18@(a@)Z}LzezPd#3RyJYuKvSLZAzoYtk0=~EDp9IXTR%o7yN3eZa3(bGP<0w
zdq@W=Wpw%&g{Oqzbe?7TwNwqxg8WW~SI8yr``qn+J^+3@c^_kf+81ya2MSCLTjs|F
z`R`i~<XGUP{I#LH=A5Lw?PrVQFGk+xw)o=Tl}Wi^R-U;{1(cBQ<z$Fj!|X3R1pJ*2
zxiEe`G$W<zm-3_RHQl><eW}!%^t5jqUY(VtVkrFInd6q}qK?R=eBVilLyoy6CXJn!
zGXP(p1ejqJ&Af+%_CuqK(`SX-oQPsAzxN~}?r&|8(2956Tkv_z&VHEN?%XYl5+c)7
zz2frDJ6JP@O0g!uddI4)GD?Qp;zDoRDs$b0xa>Ltga8_^E9||0a22FV()(5-B^Ee&
z%PxuFQ<QZA@sv-c@LR-b;cUSEHRgm!{uvjB0%<Ak9Mx%{@?^O?gpY@%vMD`zO$QZs
zquqHrpT_;L+EGPDJkzsj@j5Nd!u#h1a5ji=6tqxT`nX+|;q;TZtL#R|e(lAr8%3u8
zF4X7ecD$W8IMXFe85!i`U_^MSx^^%p6MdSrI)3Vw03c$C<(H#Cj?{+UD^LI)tj}uq
z6fx*{5)F|Swl5pp|3a4bDa>Tb;1~`PH6v3?{(m%m1w&L_+b$r|-5ny`-K`)XAt)&&
zAYIZqAl)5OqcliLcZYOKcX#K+**x!e{=w|oYpuQRE8$OPpiT=w945UwlpqKEQW@lL
zr|a@^WQe?wuh_k!4Gf+!Bg$ym23Rq5)Q@QBrDX<KTCC4!0(zh~Ub>*|92bx_16Q9f
zbbjiY<56}<GpVqu?zJg7c!h|B7O%rsZWRk<Cjz$Va0n`m_j&q?6l6nnV|(<IKeWZ@
zW@6fsDC(9`KVemEr@&wu>F3`lqF*T@@Q?WDQr*+4G9{JN>*v*n(vs&hvd|>9x>HQV
z^|mkNb#tPZi7MP)ch=J4C!^8+>$~6)n`{EU-K-V9o}EpCnSl=52fmS`7c`qonXO?&
z%*YCSNDm(8ykZv_mWwBHWFl*L`2ltJgiAk@7n+h&Y@Mxg2%cA-+)r-g^Txp?T(R@c
zOyewrU0h*vkjdYX^oVJk-7XHjZuLKz_V6*t!+2Vj&#B|8xao4R*~YTqb(x>2wr}!o
z1$m9fFOpZ>uKTIAq7UA}`R;nxH9;i#OH1z-LUq}&(5{hs{Pw16q(6<Z@1UX}j)W+7
zTo|wE9#wk4Zzv#Nc>6zC8rAH9{Y!(47I;Hje_VkcuN9f7+~@x}_WIhPuYEO9;JeAd
z(?HfY!w<***_om7A_1G;A1po`KD*9}A5|;ydv=sb%sg_j!2J2{h*unoKovUqOn%>V
zsx~Z_F^}WxwcQSk5O@bj204H8AvsQdt+Dq@>DKXZMis+j<>4QY9b{{4fH}78de*Mw
zyfo~{h41&~Th2_L8Jw?tAFZu%BfP2q?M!cA#}Owl_a%LR2FY$)wdXX`-?ZiuM8uJ(
z0^0f87vTG+HCmB#m8W%U_E4r#>Dbya>=XB&yKsv%!$+9)04*rrMafytB>&X}1y1`J
z!XL_S(^VS;wh8ulHj=e!O3`$YjZOEmlkcdn^F4qk(GW+H$d)>5z2XuFT3i49LO-m8
z{uQa=-=5L6=u70Y3_s9_L(cSU$9cN@G45OFbhdVyUB7}VRmGXr82CWXIus;LJkIxu
z!EMs=_+V}tW)m?TrVtrcJE`S|S5FA)j_+Ql3wZcICG2qBMEcotqYy|=>L#Gn;BoYY
zefWlxyS&WH5ST=c4j$J&bTgfh_d9{aK{jwf5TF{y`gbCi785;BH{Sk8N4pJTW50!2
zyr6@2S6s-5veOoW;oJCr0j}G(6^9>*M>S>tdoP_w$hczL@$yo$98ZK<pBF3FFVa<$
z-c8%Aa>STgCBr>Bu2#C$)gJ$HIW0R-4^G<kq<xLTOC*>k_)Vyu7fk@s;a`qzY?+AF
zv4~v5ftI8hIk}G4N*H$Ca(tD=kPk$t0wD?O*sA{E+qw0-Te|ZbPUT8D7;;XToI#JQ
z-L+i-q1wV|fv|j#-@{JYS}2}hr3p*?dkI1$`5+lgk$ax2KQ&$X6Pwe=s4A~s>hJ2*
zNahpitLkbBV+(2+C2an8tZ7gqiil92G)}8oavRiBA%Fe+Xbl=<o&WQ#-eGGH+qzm8
zS_SHWtQog^4gLzV!?Cn?7ybQpudgC<qBkN|Dn*t8&dA8yp=SG%<7J!Xujn0Li7-F9
z(c29eDkCeF6jHh{W;F`Ttw)IxcBo?fI3)`-$_B^chP_kZiYf^2VTmZqV&$B!PPJ3=
z`8A>Padqth4!IhSdpOhq>Q%PaXuOe2UOBM-z$2SO+lJv&FJkI@t#C9de3)9&OcAqY
z%y&n}Z|T8hDtx{d1Jm4FgxIeAGaBb!NsncJAFY!(J?8VdWTW92O{X}@KcL@be7~G-
zz!m;fW0J;!qU&RA2<UHn=^K&^X9rzp-nru3>g=EI=ywH<(dr|MK@%M=hrP3NgES)^
zYQFt0Z+IL!@mPj|TaF)p`JZ(x;4LlVab}3a3shV|4?8+`&s7iR9lL@o;fze^fxdL{
zj;OTEI_<}j6}4OmO;zSrj87qT$!N&;+)v6<=jxizXRzp7gmHks{|mGe8L%2@ov2Uf
z_>4Y|+5K>`n}FHZZsd0Z*<#*(%u=w3yGvxDD#~EwaV4{&Ebh+No`?7H0Vbf5I^Rs8
ztf}c)o%{tEKj^jf5gnF3HisutJ8;j;cD_;-KCK7hrW85<hz{dskUcJgQm}N!5Igu%
zZVCwLu4gK5!i=+|jvPTxOX7p{A;F#R<mlGo_V4#<KHqh%r(xr|6G2&UUvF#=Qdrd#
z2ijBF=;U4|zyI%6NsjdFFF*zAV((~J7)R@+_iMM~>F0&qEQ7pkI$_Y^r+N;^MqC<L
z%z6rCEmtemT7Zo8C7b&YD}tLvj6`fu^t%wt^MZKf#O<U9-(j3AG4`ZjpBOuEcRWLY
zs2icw!lLhHuV5j3lN27cVPgUhA$cJPpX7%**B{LMv;E}+=ttJjo7P@FWM1me)6<5(
z2F`yJ<ZmbIX1t{s^~!>q4gtx!X#8CDIbI!=p+P%|)3>X=h}8~~ng3h<>u8<$WFCM~
zV)g#GOizEt?y1M9T%F%ACuM$E;&!P0cuh_GRO7yf7$os+RB%qh`8?Yv!(!36uH|wb
zdrdJ~Vze>cj)l&8d*@T1E6zn+Y+K=s=$2o^wrr6lL=5X70~eX6fu@JTYp?Wo+2b~l
zFecGe|7A5}wjQn-gP0C)yXb(oKMCDG6S7z$@c3h3Mvg{C{ss-liAL)WSo%z*!9*FN
zkLG~vz>yzJ3UQ7?lf9%T{bwHX-?b6A`*)uC-?h|?0f-f^jV#I>tk~>GLVzR_Mf7k3
zo)G7o?=)KXkLGbM!ZBNjXbcJ*-G$N`m`#0?Mc13hzhBu58A=mu#BtFNdh-A5U<{Dk
z=7;L7YKz>?o7K^0=Eq|q^9&f>|5aixhv((Rd5toaDrD92g}&E~Z?*I_vTfJ90=J<n
z8U=&5vm$1)U8j^34P8bB&!)OvRnf3O$lv_FSDq_k3R2)M@Vu_PSw>`IX~V0|qWfEs
z%fxud#`ugk1_#gu{5!O-1IkkTmH56$vz0}Dy!i(+N5#{Nr2hSvFGuhaV8>T5fq~~H
zCp$a4gLEVGT<-4%B!Y9-x{a!f;cG_G1;-}sL2=X6Wxg?{QqkfT8`KJ?j&&OgF?z+9
zs@r~MVd3IB&i}rrK|4AbS77rJDx7(v7kOw+c%;Nf+=hV>Q_*n-f<O88vPhOD)ifpd
zl9N6EcH>VL6qvj(v{e`a){CT^i9IlWj|pKX?@#9}avA>j+Y#_P``6G>*B?oDTYm<8
zyyDFG0-E7zqQ25KG^*kf)Mtw_9=->;-o;Hdt(g^PKLM{vOTxwZ(D3E`iSJC#;{-i_
z16V}m2knCvsCq3wFUO7{hU2dtM$;PvHQ0B6<g>}6rS({jdi66pJEF9QgPdH4+%UE-
zrUOTyVs$VJ%3)B#f5_+kk<z~W2@W9BW<j)&b=0-eW092C$f2}I<s0iy-}h`n?O85G
zI=?#-)C<1L-}WX}HY&qiFu#`dJA2jlze|(T>?a*+uQAcR_X2PR`Chv)vV^bmw6`Pv
z(JxjgOgDTrHk9bm$zQ*M0o;=9hPn>Knp@;fM_)&t#86=@IqA>v1sfkxn)2hMB*yYz
zkDUUFH+F2-(I+y-)-ul5lN_q_MQELWL4<0sWLoICV&&j{R2E;ZDVke=XfKsB@|#q-
zteB2}*0z8DwoVW+6T$9W;LqM8^=E;{T+OOhG9Fp|e;)uYSCBZ4PQ$LBgbCMmjWl<>
zE;ed~T=c8B1fsQ^hyP6<0rUY{J2$Is54!_asSe@#_;tb#G8yKeTHC5f&v<8+vrKsX
zl7m6x;pOk!BdX~K5Zl#+k+VO*1AK}%^QA*u;^2~8x8-Lx{^<H-d-IqcE0oIiIjds3
z*4^q872YXahr_+q?6fRqkHg=-K@^kJ*J)v>g0p&qlSbU;y47u<()r1oP`k}x_F=ft
zvHf8eQc$;yBKDvwuSLSC2RR0TzYUf0eW!YllRq$`U`@GG)*Sm#DI?Gb55koyX`#4u
zc-izq=Y$_vVLhmUpMgLu79AbqdX!;oK%L+qERjkt$N$%WK@}I=rIPXd4S^~mxEE3v
z#r=~4Tphc1Z*CQu<1Q^wfct!2(ZaFl(Td-%vNu{EXduFw&3YTpIjA~1diE)pkClG>
zJ}if}T;(eM%@oVbgXI$+Nb_~Wly|q|6rqj0R*GX|E+;^JCxt(vOT|`(-t?W%ap2Lo
z7l}HbbEONkC9r3T*f8V=rqN@A<!ZVIQeDR_csedy;$Vf@VR^2eqtdEVZ<qfeY0Y;l
zW^YXFsEn6Nm;9>q$#Lt-m?=6S;0F@Ty`u|zRC%)^41l<wp46nF*Kt9o>T;P}=z*r;
zG8N@}fa=LGOTz2hLMbQpOI|vT%@X{W*GcXvSq2EK)0mH(Ki57V(L{)^|22yhErb$+
z@81jni$>gL;g3ZgDYub?JLLYttfjfRzpkMnZs2#&05L|kSxZaHfQNg1j6u^Mo{I8v
zpW{ek`>mxVOf%E@0l9Z`aVPuxWY`SSC>D86R>CN>|Kb!@SRmD{gj)j5^D8S0bE~Tn
zi0jx)@cUw2=EYi%B$Q0>@lA+OYC{jc%<^h1OmECofn4}4jw!x%uT_-4?CdIiCZp|n
z7{$ZJ`(L%HA9v9gtI8zqzvAm-%4*v{K42*J3Ulqm>A=xJ$-^TqFukmM%Oe5Bduf0J
z2#NDMHZx^2uLvXlyNy1}7@?7(8ZC9AJ|}CHO-w&a34+XPZ0u$_LML0++7_G{V?srO
zMAxdPYcX{+uncuPp^UrY+685VtUZ6$6P?Rb#{Q-De-=N{y#?G^1+6EjPhVDsEfM6)
zEL`T{E*q_G6*&+4*B0!lTZ%J}bH<HGB3XyrkH^WJ!p0uU6yrjQiGc?%%^D|jz)LQ>
zXYg}WEFsi3W+^E`<s+X=ctP^Q=Tb}fos_oUut78I;=IRk0RZgNy!9f1)r=na8NALu
z!GpBR)3+P&#EPw0MXk^ywCSN2vq;LgJL^tcsPJ(eC3+9%U+YFFCDRH3?Pf|oY$qAC
zi+G&Qbvmku+!Mx%?&_|aT2a(D6Z$am75*&ilvdCRnEP&X|D<6dnItsirTJw%S>rVf
zMI{}M4#z_LV)iTHft2Ry>fxXHQ_?6%vP=6zjn^tAT!pJ?8!{@qcJ29(+nCpqfi_bn
zm~^G#g0g<a^&ei3^j=KkD(b~{igk+;Q`_<ud(7du5X-4UOl8D}ApP#+mzYd&Scy;0
z=gAm(%pX~iX|PB~+($xYlWNz#OY}4e_qDP;Baro_xQ?;US58Rica$v%7EV|_=s>;&
zb~Cng)>+XVIK!R<{Q-A4W4on2OU@dsNQ15^k+xs-vq;3jweUdMoB&LXC5)`!*>%TQ
zj;SMTM}aO#Aw~D6&{WcVcqGHBPP^1}a`tRA)D5f1|9ZK}#X|}R8EtR7U9<&x0-2o?
z4OqhFv+Lwm%`e!wG?N3B_A`PyZvWc$kKLQU{F+Ay0_UT{6C~kWjrZN+?h6)aFE(T>
zqPm$CxxQqz_M{g#g>Z%@e<Q(F1mj5ByWr!rh*)YMo^nVz%m0`+_g!Tsq>4QE^7}QH
z8SuGy4w*h+^xjylV=IB!^L2D+^1Bb9n|J)sox84~Ytr`-<ZN(>r;CHCoqHb3@(@)#
zTbX7uL7N%F8q4uj%OYxz)_wA)E|CRG^D?)`%ZwjBoKYAkeK5c#q8GO2zGTmQ1~gsO
zpdyFQSj(B9;SWMD(6BQpgkM`>zR=Z+d^_^@FYcy{<IbOH<ZtPp=w)_zu;<?`8iSxW
zK^I?xEGX4;e5w8IC$fClK9_cg-QnXQGILT|K?vb!K1_r##(?~XqFcK~b$>n=F!yl{
zW!6&)Bf<_VgZgB8P+Z{F{6(7m(zd0oXtmy;mJLSCxA*RDr-Ix?sB$m#>!(S|s7N+4
z^x~*4zW&?f%_ZZKJm9`_On|j!Py5i-vk;MR8H=5^_g$%th_gIbxAc)30e-lhPbEa3
z<zTm9TKN4y8n9^f4m1lz=y|B{2J3>x<6Nytdxel+e86aNc%l7O!2g}e6B?V_No+7N
zmb~C25SZNRTr(;p?z4!_OmwatBz1$^`0kZZXHXDm)A34p1D9?JqJ^670yxcNQE6+B
zpVpvUYxfC9!X-oxA~^O!yUx{=Tl=@VSbUhX<!K9CZl%V9TF%QCHMrQGvBu>cI|kz3
zkUCK~knklB(td$H2}afVUVu1ssc4+-qQU;N8tBsTJA+(tH-`LqEKVJ!9%Age@QCbM
z06DZD6rON3@8_0h+dgmmm(L%ud(8s9kii(-DC4kB^^+f%AHPVL(kZc9XY`i+qGGYW
zGIa}akv=@{!R>I2lf0d`7|Rls1O)fyLzF_XnSI`gZ%WbHuoSFU@n8`kl(u{VnAi^@
z68J~v(T*=0LE^_6B0y4kec*J<PrIpYu3^V^6&_~8WA2rYMAP4`1Zk)Lz9|}Ki#y}#
zg8vMmP7+vY8N4))(dT)Yea|zdKf^i)7Q4%rrghAP`3mF9>yl<rdSKDs{PpT=Jy`{e
zO6~&&rPpCquO#^<{Z_4%CbXDPhjaBz@>lEip2nRAs6B}Li+i3_0Wd^_F8;{!eCIVP
zO8i_-sPQer-D1;3p9tU7d)?!o`0{KF=5BIj_Lq(%Z_k^#1k}K=>mtYI!^7XJc_{el
zH$SB}{y=9uSqi$W@bO$#qH;1KK$~Dd9jrd0Q+ecgGpo%G*)6NV389848upunheyG3
zDZP5Bgo3y@)o!fCtzx!AvB`H2S|e8qy;6%V80qU3%Y;u+W?<>|6tA)~`feK<R>hjD
zC|p^m!NQV{_Q9G^FX8RSqZoX<(AV>wIPEko(N7)~(zEpb@jm3P3*L`r)8GyWZdx84
z=oXhdTNich)00Q|lh06=+<y=IL>Pd;XP;+2lbvRW<mEu3FW+OS^g3DF4jujVM2Sg+
zz+|qebI66=5<K7qS0}gg>Cec!3h5N4$k<@BPl480MB&L5@Ox$$I$Qw$XauqZyNsO)
z<%r#srSfVz?H)|HxJMcGhp4ftY{#Lz8T#`u{>pzLm2nC!3}fX>al+o|_9|y$IhB#V
z+e;&IENnC^*b^izm*QGStUk|0y%k|B(YZ<LXVd`Z)q2Pp<nS1@W|ilmRDCp#<(5R3
zq(GmjS$cr@Mp@YDX}s2&IVY|yxzbgQo}PyTZ?Ge%@>Zj3_d9OX>gadk;yWWTmM=un
zTy{j7y2}4HMIj~wcYt}bmHT7y<ZoCjI**-P&mW1J7opEDj62hD=gJv*TpBX9d;FhI
zy^EI(m9=bcnXy+&>+_R*e$hmDA8abUDt;$=rcMXDJl1u0e=@E7GegsKGgDxH?1p1V
zaV(N-_G1n9*!4*$dND%hteEz>u!25QS^I8=4h#TDAlL)OirNGT5DTxb=s&c0@c953
zMl2#r(=0ytL8}^G)BmJ#nP!|LjAPsg)wE`2O~bP?M7}&*AAVKmrrP89fY2nVkXY_0
zo>u>oQz(#hB86*jLSBXW6sYc|?zlQR%hG6oIgtLg#{F3)w$AzRbrXD#d5O5^Nksr-
z@P?f<4_Aa(PZ!#w?iu-uu;oxZsJkd^#Yt=Tp@l{il1Y1#0={Vm>JmZo&}<7x(k*@n
ze!Y3E`P+YucJLBoP*>1+D#rUk#D9!^yqs=}Bbl?nfpRjj6(@fBmR9@l6MpCf40>H8
zEos>wO>V|!uKW@`kmSuzL8;9kVhw32{)Arr=$ycu*?omg%E)BPl(`{_I?rIOtWQEK
zuG5q)=QX=}#cx3fU(!u}%W4h3QR1vddNbN5ec>@k2%F50N@Q?@#n4DLpI?E2Iz6XQ
zqro{>+kBC)RB|Yb#-bm8d5kA{zL5x=+jGDpuO0!3X3LaMR0(EQh2n5h;0E#7SUl-M
zW63)FWPFJTWy{`!=B6WCVE5$?vN9J*%A$X1m!t{{)Xqzgcil*D%TLalk4}F8k;^ew
zB}suPrIZKZvMe$WCMVKBF^HWsfQjO~yqbO+?5c!T%Y)P;-9<WG_}lQG4|2VjB8$e;
zUV_F)+gx)aLbsXRzh=N6^qo1!^Gh<j1J6teC|L2`S4pLz;hHa7rY{RVY~mu9$`<l?
z#dH#V=>LmlrR0@Vrb{7g3G>;D0Fen8YXq2AT}W@$^24Ou4ri{+0}PIHbxozZC<()`
z#@dp*0xd?eB;?iFlF87gY+w6V6e$H^hy*9v+^BdcF6sU==A}n=-D1CC#wo2k<ZeVm
zKn|1DCr))EHn_|uH+vj8fV(_4Fuf<^ZVp#2O=Ya%O-ufrO^mrBv(N!>t0$I?=+;Vh
zFH%_(@DPxiJkH(hmxkuXecjeKQyft`t+yoUYp^#U^1{g^v@k$ITyvnVE@qAUA<qcv
zGa=bCs#@gmx_xEd@)SBCeNh=H)4gU&{^QEAvQ5hP{_vOa3N=oACMRmX#pWxTQR|)v
zepSI2<7*|+A`Q93hu0$7%FZ9IkRFBF-B5Yen`g=0b+n81AE&hKXp3yp4!L<Qx;xk&
zkIoS0S6^yaSafPQMb<WO+v_pAUT*&_%JyEgjvENdAbo1En(V&aij{O<)2&ZdL#us-
z)Z}(vjUIlYrQz2hf1D}*nfk+!`xi>3&&L&|*J%djwwZFhyMR`t!(=k|?INA_jC!zn
z)W{?IB<=OG%y3Xn^Dm-Lv5ixn6-xhi5Gtpx+59dyx<3HHkEPd_JM=XtzmWS0gvtF5
z`ITZC8Ox?x-&ov;81K=Mb}(0tET<lo=fLS>1)W%FLyFtKE|b1V;Z(Q!?9w)waEFCX
zH-gES^Vx>mwcf3MnL$h{F@0~vSoEHq7Ph=6wfFY61ouy8fd1Dmm+;JLIAy;cJR|b1
zLkqqK@(=W@FKFM=s8Anb1~{d|FN_NGEj^a>BrQ6MO1~4lg)upj=rF}=@Qs#jE&x;C
zKWTt`Yq0qUl4G71@#jS-D@IU5&j|V77Yx^yO&<hwlwZ~yRW=wMwG!~xlRHx|4?`3c
zli~N^K(LaAq1cmaez3wdDcj88LhY16CPBcw5+>^W7;nrG?#QuLOaSvG`ywW%&-d|P
z!AbCLpz{1O+j;AuIQC_%9~p>y#*^m`{7~5@bO<P?c6=@XEUlIUNz~)Kda8%1m@<fH
zUilwe+hJfkq0eU_u6?!fH{Mlr7TaE<MgV4o+5uddQB<Lizm1SWnF5)85^`ScD_@QF
zNMA4`p~I^Z;?5uLO4R*IozA<AH}XU|p)s0nlR=F5QMv9vl<Jy*YOJzM+fMtqegV1D
z%bv|}Gt8k>+>^KMO#F+Wq3eMl)lxHHI-m~0L|%p?7y`@Q{k-HHh0@OHP#v%o3f1j_
zd+-u9i$x_{6=kLGK(|Z?hsnvX(hKRU5q?mR7UcS<9z(aep6>a9+^7#J{>{G2JENUG
z_}=g-^4+01Ue=t#Yclj*x2Woj)F>0D#me@_!?Osc+^-CeHG<d$C2?HyD$Ch(0SF<=
zOm&gfNRB-}ca$xyPgq^SjPt*n5hFm|(j%DfDaWXONJ@p6BgIBP2-^eqVbs0$Z7=f=
z9U)vmOcA?r^g*6g-kxo?Ud^j2Y5?r_iZW5W#?NtBB!-}pOwklpOfX4jF)pOG%P@-C
zhe1z2faX5Uf~#`BSJe))N5sEfe6q7J;hAH9=E*@zUjGcuZ}<BIzb9tlCKBU`*lHA7
z#|V_Wrq-*~W`Eg{#E4C#56~XsN=TkteR&D@-31eJ0sg*|XtuY2noOP!jw3}EGnbX`
zXNXekCm)YAcer_T(uWiG=Q0vUPQ5%n-Sf`SBSngGJ{~5M(uwgg(kY;iz&}xl=l^zE
ztmtieH!wUu(w3WeJ|=!R38Aj(3_Z6j(`DN2&EosoTb=gJ{Jevj_Vamg^U5*VaIeUu
zlM3J?eW>InY1u&rKPDfI<2n>~tj!mX-5!KY=iyhs&Io>U`tn#S5MsO565QG(2@AF+
z4gFP*TxUTx1l>!sgkEwid%m3X{`Y#83HdTa2AFDVt(v<9KC~}yM;RjOWV}e1t;X0v
zkrU3;_OIj1=~#2^A1Ml|e?RjZ^p!V|neLkeF=t?0+aFtO4DqSaF6oQ70M+}r`G<zT
zGbJH;abk}KPEI8E(N-tAClR_ho<F0Z!?j<`c>XnQgjdEz%~Q5BtR<(WlX__=v6L6y
zFhCN|tl0EbK{k72Jind@X%{CoyYNX{BNX5BR3|s=6D=Cts?_f=JO<h~NM0YU-G@r$
zGTCU^V$SF!W}HLWJ`M+8Qc>Qu!!1qnq&Lg6E&K4{EvK!v(@TyWeu;NE0MgD*FXNL0
zr^Af>@=b7R;>X|)=JcgP#2`j)czq{sWLa8jq>=YQfodfC$%hq`n{gs0vO&=ty$~Y(
zyAP6R3%v(~AlZ?P^MiglPX2)0VsmZ+o)^{EDTXt$iM}QQ$S`IIb^!?(G(h7wLg49Z
zX>PW<$r_6a`_mK`9gV;DCtD&f^;SnEOG-e~+d8jkvEZnn;37fMbsM#{bf31;dIih}
zeb|pR!FVMGe^kY8gxjz5^mh%Yp5~eXeNLSbgv^U{djqg+moZW1y6X{@?l|4&ft=Kq
z8)c08s_Gg#XW)@Aa=}WgraxfvaRKZgyJKD+4>Tc9Cc}<!MUb@-`({#+R!p$fLv)5;
z$}uQGsL`U1azMb~Ed_U91NtJ{ZdZ?@oa{EizZ_l?&g4bgLr7S@8(@uY*tqN4h3A-V
zQJ*SA$o)z~?~2x}*4A{m)|==ywWwwp69HwXo_aezw)nY0c@^`qoj3nVN@3%@KHm<P
zx}ENB?9F{X21sH1`?T!@U*pxVW{Gvc7_o8V>_xc3O3p>^my*ATw~b!6cLul-5NTyb
zYi>T#=Jc$&0MNm2GSf%`B+eiiOBiDx#`cgxev#-1zx>}Ff-irav%Q^D(XPudP>>F^
zF{!Dk2_Jt;yW!}jzMz|D4Zz@^Qtg+%P`{76e((Ss?xQ_ojitU1b>EDROUbY)Oq(@p
z8Q%SV5aNGjIp0MyoywY0pD^GuA6ECzYf9py6UA!NH7v|y-`{4=Xc(Mx)0M(KmKprV
z*{L<nwd|>0FK<ooVC<GPiHo{rmc*m8+GvtvjQWH+Z)X2;T8B=axWp^JL*%E#uQa|E
zVmfMn;m!_&VeK#QrYJX$hHG2Cw`u!Gt<JO`A=j1T52MCK>R^W@D&8q{A~U8W1@3*>
z&KdTigs)p~(jAS6A0zKoG|`eHr!~GZ-vda*g0Csuarm#66n(rU@;A`;@f&5^;>?$%
zIb63ivMF_}<-s#t^k2kbCMLf_Q`lQt_+DtgjiR^~cAe1G^5#Tkv>R6iZZ3DuD))pD
z2}1DOC6A77pysDTn2N$@Zfs8;b3puz;{|JM5|v-+)@hy!t?COZ9brK^Ma9&Ve8smv
zr@0TN7VNckJ%^1Od{4v&I@<5E;4NN%sqbk1d^;V^4BA0njx?d=P}AkzD;U*l-v?y8
zSGH@S8#f`sYc+3cJo9LMvI;dplAj85e!zldX{LVF;A$*Iyuf%+>7tk@HM^GpoV2{n
zPfu%bSkK4Q@IhCrOBh&{SM?xec~fHu4!E`@h_}|)2ZC9%@di1O9&)PYiG3HmI25Xo
z$E=$4`D*3zL^yYm1a2domAK0jfAE-gmuc!zPDs1{EdDzG)$iad;RNQ^1QCP~Bu}@Y
zPN%R4c{;so7e=*N`<i5;`*t%-K~2;+;4h-~0BtGC)9{CXPn0D|Yz~SXmM`2+x3v(H
zuZ1~8cFO$HjJ!vK`ubFuilNMLIS-_yTsc+Of7ogDoeuS$ZqtO9dQ{W67ld-9%lWeX
zUNLmOi~e&u2f}SHA$YZXP1125!hPJ<bGu}Q)Hqf>7b#~YBg1*G3UIV8gZqp~oO@v5
zVi|!WmEu>hI3Ty^5O7YO%uEO{0vjSgrkxrxa*3IIafvzqh5zCkDD#sx0r%JX&Z&O5
z6&!t~R{6_G-9P_7hP3M+6DTLaoah;Fy~K5q)YsMH2`O9??^NBDATPcOj!Wn6%~P&Z
zFhatfAmV_M05j9R{(v-e_Q0<S<$~i@U<55OF{pfy$}jnRk`Se2??G};ns2r9q(f8C
z*KbD=?x*{2L~rkEsbtJJ$BY>Si@R5m?d>=!(c7!>>lrDhU)_^drWyF<@z*~5y()b5
zUflRp&)1u_y!M5=CJWYY%kz@>5atf(3WLM&63peGAdO}V2>_rbFwnLay9Stw$s#!k
zTf$p)&0@TW%}UI_?Ts;Qy6PKfdl51wwK5xU((r#BF+0nEaD9sWr*K^~)k_4j8#hVl
zjm;V`DiOdboMVD@js=u@!9>^5;rPPvcIb)YX#e@zUsj&w@2wT2LQB+cetz7a-G#}s
z&NTE##Bj$q?D^GOzMMsWcrsInaJ6xfnK02kzq-QVZofSIvE4J4B~2T<na9n+5cdtn
zfeA78zj=S#!$pC+;)&9M0dk#Z22G)nypr4(M49T@<rL$skm!TYFiSVVfjY^uK4dgm
z20*8O!&m&Y)<<gG%Dg+`)K>DUm=%lvnKX_<tPjcBh_#4?!|V#lTILaWIA3cIh9+_!
z&=1!d*^Hq!z)hyFnf<@nFo}fkAb+N*(U>NGkMXtUTpdCPW3Yfxe*+lwzh@Z|@72#t
zzm9&KsNR$I9{dtw&6kchZZuN;gLoz{Ykd7_6oJzGHf(3-mbvDQUqR}s|M<o*t=A=%
zXs}6#1;k?Y7YNFXRN6z<PP`6@3IT|&>)RFz_sd_?#fK2|mk+%Vy<CxE82Kwrw){Rh
zkEL_(C^d;3r%Nyt1V76ZUU(BxDiWWij4aDLrNq?djZaW6{EGRathaTh2JY(SM*Pec
zXUlCR1G+=1XKXIguvUYCr;kS2=;*h@3!`w|B>$Vp;vN#E?sGRk$X1K-qy*HSUkFM}
z-t(F7MGR<@drYI-7>{i1>g)*q0QPkmTM?S+;Ulo!h?PX0Rz;t3P;!m_p%{_8C9+~Q
ziuy0Kj9;<Bs7jm5$oqa%dc`S}fAn$GTN9S74DPdxnQEHorxixz&~u$twJiHwTl;Ik
z?c7uKpfWB``k(RrU17(Ca21{`MH4T14)Z+~YUpz>eVD^tpuM1$J9Q}(H|`)ymkB5Y
zL;e=^tb4JT@4`EL2u+#hd38@7=5=XA_Q&RrS3&g{Rx?5U+>I7^aqIp(hz|Pzm+BQ2
zzr^Tlt(1ihdl-`q^QVZ8PK`B)%6(kz!(AWusn)!2%_vScwzn-M_?r*jo@n_f%{ye(
z9bOmn{rHm15iNl6aMC2V0+~bO)iCpu$qP(O{Y)2D?y@JL{hO-~24{iNy5<l;28gri
z=g*D#RmV9`V`b_D1)=_V6mx6$S|Y3G=WX%?kv(TB^%nDEkjD+<j-vecRqIx|Rof;D
zYey9wr+&{VffQp>08uN!04S~eb;sYOC%9<T#5wf|sI(;>eNy(Smg*f`?BDdO)t9iD
zDMrNw5+&Xyx6nfu;zjrrej0F}lPQ#)=i>!q5!jJtmoma|Vt<iWO@CwE=^J!SBAq}l
z2o8pygF(jP$F{>f^Pp;a+8q2nk-ZM8%2z?~#BI))5s+I!ogDo-#Xd^Hr=tvnwrz{R
zd$tdc`jx|Hpx0(v{l+)~^PDg;QIG>>cg!_bV%N)CwL}(u*xiBVr?Z!F$*vl7Z7I$Q
zH&>Rp5JtrMH^#(Zj2U*FoP!4rsnz1EloBmrUS8scU#p-Bz>*WUL*DS(K&}&iuq~)E
z)TknUK?td#Ucfn_=0Mq6uwpg3x(<JBb+}D7s!!r25b4wL@UoS!h8G&tj-ebd!1Kx}
zhp4z4`$H12FR=rIr31-Mug>IK{EE*5??CH3Wk9UHlcuhmsM4|BHz$Ronq8+z>rCFp
z%UdUY7J`Tmi1dd)?C#7!jQ@m=aZ@&<`3)^~FOILegl<QSb=S2}i3fXU<<9dKrZW-!
zRRSJ~FxbI9?P^NNt@A5P(rkLFaPNC9oRv$u_tj>)(1}mDol?ND0Pp%Y^lIA--n1FX
z9;@v&B}gCd_<ZJE<$dN2cV|rQ`bYG6W&UO6h$KB`yQwZi$utgs28rs1+YgY`X3JW3
zUVl42w5FUt^v%VvvH<bUFoGJy4M~)PMupWR$#?c4?cAg6&%(}?2>ay6<U0ivC-#w!
zO8=eTA##cvxg>&uZs9Ss=8?q@2Q&kU{b*Z-@|I?Q#qum7mL89-=-H#1%OoSxdWVam
zx{ZJ6Tng(A-G^x|fm}&7y}TCJ-gTa7ZQxU**wP+w7xb$*ybg}d9|Bs^9TjRBRy(nL
zP-%sw`zrl!*iqwXrHwRrwQSICEaBYQARMp1WX@>GzjdPE&R3(tju0Sa&gDiU9Z+g!
zy~11CT8`LfrgWHi(@Aq|3kgNy(ll)6N&E9<IL-R>W4QsH$u!h>P2|g-YT==y<4mP=
z1NIW@tJ61Z{C?W_NrKq$Ug-^5b&hP?9($PTqE%1#o;3V{u-Yh1Vc0I6X;yNtcq(*)
zlxx${cE$YNsvVB{og2)y{Hc6puoNm=o>k^^^hiet+YX@~V>D53-%XZoklw5O{NNf3
z|5I@$4eKY_y}8JHG^ZE5{S~W!!@Z*(L7&$Zf06dx6dE3zhqVU_4Z;z7N1Me*)jGD-
zwF<8Qv=N5c9suRx^_K1*PWyKhhLe6yxk=&Rs#R-A&WVzLabc!Z1?dJj!Z;9X&C7Cs
zJ^Q+9e!zIpYNim^e-uwSVccM*NdH2i%B-4bgHHw+QWvrWt1Ng3U>Cu*Cl7Z!(2fya
zNkbI(d1Ke*UfAX6<+5S(0nv2)glPl!3Lmzn+h@IjpJPJVR@rctw68JtAKv<==~1~f
zhKzwfFT;-75$NeMl{rT`|71xI#VE8>aWq#IJt8f-YtrtVJ!y_~2t!$uE?m4O@gqZb
ze9ngx`m%JZ;en_$J9t$&B7Bu*18?4;Yu6par7n-veWpKh-rhau2J$LrSD*(%UQMLm
zP<`}MCavK92D7o!&KuTxPh(*g0_Po9xKGM8Vbz;_GzG3WqNe~D*8cXBfa_<Eek{rT
zahtVsB5L+?cLE<2qWuAp&YWA?=XWc;ytn56bmoCem7Lay6$a`YrfVwhGw+n5D@=*E
zTo?SbAKJsMjZ9MyX(Up+7wjbTSQ@F(7f5ZNAr#J7WT;l3t2=Lq2({d(BfK6y6gvM$
zuszaAyi?Yg+%fS}Rmj*jt&ePz-1nONKz)oH{vNbpTnHL5p2ACugU+zO{XOLfXp$_?
zYKPT?w6kdBTi~CcrA=L`nNq?tr9YXP!X%#&OzV-EMtWIFs?gUe)#0KYS2)+&T;gx(
z&f*f7ihN&+;I2G}8@R7I!l9M|xgB=7)ye?xNcGG+lKJL8^NzKbkf&=JFqd6b7YbZ2
zcfx6GkW%KL{?&SSdYoEq$$(9Wgq{wPGi;?K4J8X=7oL71pt#vA@6=l$E;e3Y#bUNT
z{^hR~d^@UDDlzGz;md<Sw|9vFjpyyWE$jOcurU4@*zI`bUhz@qQit{DRJceN^Zfjt
z(ZiI~(@ORRxIlM&+2j-ibb)ew_J7zhi1)yFwiCwNqS8j`lX6Y68;&EY3-+W6QdIwV
z7j-bgm4V9{rj8`S`E=q4YS}50dMFW{DK&!nMSTd^r2N?hpb-sCEHbYlK`x=_tdtG!
zZF-71Z2BK*iys=sNpClP+nuo!dd+|J65|x23?RASX}kYDp`EQu68Tj67*#%Zk%F`<
zdVa3I5QYL`%(plSA6%2BVmZWbKgT6N1F?Sr?nggDUSCGBx>AkaRmgwWoVu-##n}jy
zdMm!MRs$mkEh8htrrvE&wJXF1sS9-6_i_7L0!e+0oj5y>9e}T(<MXTcLx4RfRHlL&
z;?RmNTW(q#y>d$#@BeSi?x&_W8I_^nte!j+O~{gAQr)?Vm8<{Bs|e6<n~rB(oaupj
zn9Z!`MI1<ml~O;xG`E-dlZw3ozPChBX4~NA!OD9OcHYbgk(BP(YpCWj?Nv}1H1a4>
zYo<}-FR#~wx=R%%ZpaS&7$1zHmd&ug*7K<U6=iSBV5@0>F>*agciG_oCRP(xn<9DP
znC8AL>6%H@WV2-yqYUm+bgYK8T`Dr(jNjWfd`EMppdVisPv7c~X#r|r?rzI^<(uHk
zuG6ZhrfS=ZVQh%(77A2IO*vWL5?`<@Xesn?hpKvD4^N2H7}>Zc#hbTs>So{2x9#ZL
zD$na87)6aqT#b~Z8T<D^kIGvr+%!w1H>NcA80bRf%6s~|HxWCfFMvT2;WgwXT4r*O
zDa_A*T(V@UK&X@9)h4OIEZvqQPu5iHgqLEX^jQ8F*(I5YA6BRUB&p~kp{k4wtwFk8
zD8K$T>J+m8qFPJ<YdwhP-p+VS<Q%`dnx{@O`By>uRn6QS*INa2D0TAUgO;0r?k@#h
za{}3A9?}-Y5eBh01ZGnq!kP!%=q@a}Ow;oGd>yYBo?zT&C8H;7*=V&>Mahp4v%+RL
zuUUWe?Q=YkB)xiCunZ2q6}1kjtwtI>HqCd@M~Z5cg6Lp0%tQgS=4(#Qkc-WKmm97j
z_@A2xXuzwx5zJu7I0MMZ+!S)}EZat4hGtHMK2VA@O(ucIY6!n5k~wC)&<P-f3B4Wu
z=ZZPrG46j_1Nn9Wsk&E?`)*8^!kthm|Hem7@kb8}C~IFcwH!n;*#-pZT!dXMa)x3E
zE@$rt3KQhBe=a>|7SD;);=@<E4~jT1!qBI<DpD^mm>j@$8+@4xk&*F21AU8oNJ3;U
zJ*sSFec_lZ!+hB=9A`O8uP~f++WvG3uK_ewEZQi{9}>uS>FCE_zeu>`!FyT*`k$NH
z?!W-<w)#wC#t~DHuoBX1)d#!Xq;6s+R?YM%(1#Sb_Hcx$*7*RsKgq58tvK-c2>-b6
zMmR&PC&b>i+(N$@_NJfL6=CRd1cwaZ+`BvM+Ec~{NU}jko6|MVRNYg1slt1X+aEz+
zLE(^U5<hj(7<5d%v3G_~>z=%_;;M>ii0yVe6qBXxmEL$CVmiVR5S1VD6gT1;F+d-%
zIX!!(-UYy%`X@;wl0kltzpaMA4KH(bmIl31)||i(KR|1FQTx_a7j!Z^vb*UiVa`c%
z8s8wpOUXMwcH+G{-Umld0kQez#y5w6Ipi`_2BwZs6>FE>RqX7R!l`mfg!V;1FhmfI
zVu595(B;Dv9a{ljOgN@cUZ2J_0ZbOo3+SEKR{eoN-QgQR;M-l?C&j^sqg;%ZNha(x
z0x>a&tZUz7+$1_O!TRaW5##U(;K9;NFZK-C$2ugXpw`O%q}&YLPH!1HVN;u%eLoTl
z6}h)qQ%+fq4%$<<l%I0p7O<-xgo1d58^d!PrA1#a*y`=~)rUMEg6mH3lS)HYhGp9f
z1D^lSp^hu|=xc>v?ofK|UzzF;GVc~<dw)@TG2ctHcE`QXzKnuH3sz;!qR9_e;pi+G
z`mg<hRX)cGh@u&$K+gd5Xzk@y8R55bv=c4BkxBSW@Dj3=aTyMLw$TeGwbag|L<e2O
zS!m{b$_*}8FbY7_M=7^lSaXX-@b}IRs2$G`w4I40X1{;GM>Y}Lw<ZGHa5LHBlq50s
z&I$0IyKt1a^eyO`zrA&bnTs8fUpW#TGKOAI#@O2tHAeTRor_sxec%RtCHt|<tdwoP
zkM?3E)?Z=cyrL~n)&0P|MNi(|M|@khI+}i|)+Nf$mYG`EWZ`jfvNETZIEva;Kv$8o
z%lL3Y?XXMnK)2H*79k0u<oz&3x0jHT<hV~Mkf;so?zy)Vurla3KAe|+QieRm!Pib<
z2BvG!+gUd?lZ4H0XMRu@IW*o^V~qdD^HL4T6sc~dt_Dr`ZUO-blKp8%_HSOwz3C+j
zmzGVc>q+wbI3YS)5IY#oZ%JGy*E83iTHUMCo>1ym_c>eoA8pIvqc&?VJ(20(<n92J
z<K++A95#7+a$B#;u!8E7%~wdBWVlN^ieoV?zElp;*1gXSzG=HeMLa<@l2)b^-|SYD
zx=e6kuHe0Ry4vet(#1#kQfTV*4-Uw)Fykbz$U4q%vsB`N{b_^;3^?2<<2scF((>GP
zW7;%2I<~ntMoDS(Wcs32AMoN+ZW~;!3Y3-!k#6XnmYoMyP%Ew2PtRk@;e#~6=5tB;
ztrF}c^uHIt=)cP}J6*b^f2&7r$f|lCtD*G-Qe|t9boCC#h*YfHGZ!eAMN+nF<}=z2
zrEU)De=tmNCBHvfHc8_J?e-<O!)UZ@c%%B)hLp-BXBi{$di>IQ!Zl&1(KevmKQ8g_
z)giOcu=J+2jw8j=LXz=gSoI1fsi7-xI4_e}JdF~nl({yeMaC_~9^sBWpDiOR_jqJX
z7|F8RmEqDaI?;O^>qwU%nN#fG3QhyPjqn!*7eh5K_iL~9ZhBQ!`6hP@b9afz^TtP6
zUduik)0*)+nOX9rfB=&ym+^kVN;r+kWXW}scb$j>uT6tA?TVkrEldWNBh=3spSJK~
zDc=*jE!~PLM<qT?1&vE)OzI^=1sYAninh3_xBXIj^{qC=)dzY%^P=RAY9W}nuR83J
z2j`)t?Tp%9WOI)d#DEA!*)IySc*H!yfISkM?2KnJ_{&6)J<&?zZ%CxL0HvR_lU<Fj
zQoiF+;u6AJH*H^~>wwh8F+CA<FhMkXtp}Ial9-vLebq&;_*&Cnn>2?DnA>S**F?Nz
zBGM{5ck6lg8ld@li#n(~Z({q#_i-NXLngDiIQZDHm*XQ9#-%tzS>qkRL%fF-xC|gN
zY2_vvOY!-iYTqX(^Rc?u97}r2Z&M0PEowD0J=;cPO(g9q4huqdV%``ZfpG}385?K|
zqwP*>8PS?2ZN=uvr^IP#gglv){kMB)+p%#5!+j(M5)u{7UgzEF3?G!e5ZN3{w_Nb-
z%yIn9+Za+tnI3t?W@c8)NHkWEI=}KIR&xzvp_?sTK;*2ajDAt_Vj#2f%6wTyS8v^A
zQS!*RyF(7NcjjrjyBX%ZF&JwjlU%BL+Vt?isrJ}^0y1nZj*2rKnn|tR{JPNgt$Uc8
zV->O^8YR?mR=<b)Fx;okg#^7lTf3pg)j6@l!vNw`altQyP|?_NA`k|t2og^%;Cmuy
z{l5}ir}rNRJeH(_G8s60-tPkfZ&5kGfa*}fTM#&cG?%!S_xi{!CB<>Ac)k0ppMGdC
zYe=w+3d1=NZx22CUD?itxvGjtd}s?*l#(fc*)0e875Bk9FGTA8Oyhs-p4Ng)FEJxn
z>rUNlkVPyp_WewdbrH88V?QX5skb5$PYLovH;!W^pL%7c4uP7XS}Vb<7=#(D@XUX!
zbNTmZZx@Gv*6ES7cevZllV~PIEf?4BpjRPr(zTxSSw5Gi@}Mc`LpL*xnC0S&r@1h>
ztKxt9w&kdR*4f}>qUvUqSPHCT6iMcUkxPe15hna90po;@E5%j)i1w`85lGL28L(00
ze-G}&V~BS_rDf;jkP{qfR<7e|KkSMGNbJxG4!gD*?%zt!7S*49c%J87s28@H&2vY3
z@X|uE7ph<OzH(1#nTsi3`7MEgpr$e&>#2PF$6G2f)!5vicLVcGDbx;$C<Pco;4Q?!
z`l)nskI{EU(y<nPGx)3qJGfly%sL6Y=cMXjU#~^S@3);`BDRXjS$a&R3p4#c|8Da^
zYmf`p;Lew@Yk>p>r4IFTb$FLynB?8{_bcL;n;)q`b7@y#$*b9`g?2TT47u3p%RXR8
z9tODM^<fA4R^&L&Bm4_YfkfVKHkRdig^5^RBNPJoY@3xOPJV#5M>w?`ki=}G1!jrg
z%P3=!<0s9Agbaq1{Es8XsSS12&0mb;viz;`0kGsvd_y~DxIm@xJ+E;fJv4xSBvt4-
zK~lv~?)7d&$A2Re(3)ud*74SIFWY^4fmuqE?1!w8MF9&2Lhleg4okPykr`L91tYz}
z_qg-((NEtSL^V8rrAiD<vt-P*`Dy-49K3?RB7Vqwe}6SWAxud1CDvmEEH^Z<#Y_JB
z(*VkAwoPo)<91T0o=z9|41*Zfsd{e~$r~qNl(|p|efmCqDh-(>B?T|A!&(uK5<mul
zC*1c7&@kbEcO99>jazD#WFnE7NN<x19A)z9U#H)QM#yoaiW;P6EGksc$^1%G;+zV%
z$o0(M0h}sp)3`=&2Mf%l@b=RJ$vB8z(OHEH0TLYM5MKbeVte3K$?~Y$YKi|DBD57u
zx_fXX^KXCuy1~se>3<_+PlrG9oe}a{G#z(BH%W6j8jk8QzriOGwt*O?nY#hjYQ<7D
zK}#d^{6Q>K^zQi2`tY~c=N;MO^;_W9)Knh5HqX>V2L$ojEt&B5RJAq`KS)dmw%Pg_
zm}W2rjq8{_2lM7#$efT4edNL3qstJ_i7-h;$2qD!E6AGhPyhpar+qJVA#D790Kz{w
ze8IhU2KL^MBW!`CKrAK1;L$z~UZxY-kQ0vum_B(BRT(^t#(RJ3W+d!QCLS3UvVM10
z5x%BbA-Z5Zxx@l#i!RfgM3$ImgyzxL>Gj_!by0x%=r!_XK<5(tA`TQzbyEQ!Q3;X^
zY;y7;$P!j6?)!jJw*aPgpWnEYK;U=fW6AkWMFotg778AkUP!UE=~gbOCo&m)n8&Sy
zoQWEL8msXxEK$Gd$LV_48Srcj)JCfE;mh5jN(nF!efy?Ho9H-M9rMomsPRke-wlu;
zG^YF(C6yTRf$(b2_hkG|G>yy1|DH2V+9mX89QIL*=SwaYXoLE|cno}WmO2cUGCRoK
z33_ZCW6RU=3LW3rGli;yrJ(YVj~`HZ0TalBOu#J@oW5S_-O^Ta*L>)qm6!Do;y3uh
zq%9lc9Y9CG^X6wmdTx^NG4kKBDEaLHwWOXRqazg?w9zFSQ7Tsat}5Y(JmSD(t!WA*
z`*cX3n)Vh%pu&h~hIt4$PPWsme@(Vdg(-;9Oev_>?R@=7Pq%;$%jb@wBctuZhrLrF
zc9(gyxJW;QnLt=2gYmLuW{M>W?fYq$L!`N~tR*i|w+LWP?Kk|dw8{|eXc}Ek$)i?}
z4?lp)2d{CJGhsWBh_&1h!w}Rn?~4(XUh775DQDg06@X*RjmGwgpqu1l56_*tctLz5
zhg!`7gybE>y)WVxlscs^0L-j0&!B#@SQE+$FRlvrG7q~dPvTCovKfEAWaa*)HY@l!
zKY<9bwdu=})3t-R&&ko6J^Hc2{PJw5mCjd}*M9_@_D5l@piKMlnXIgCL6$Fd7Y6BQ
zvFW=`g5skRxPQ=_r6h5biP%P3`SLyv4o(CQDClbFoDWz}fMIEK-tjaSMLi=F<ex8@
zo03^T`44ez)idfh1vO$^`+B#F7_cF}&9f{%XhdMz<@Ty{3?A>2AIksF0x&&_?^2>|
zx+}nfV?gQSt!yBwwoSZ=8Je(sCiH5r?Htk{lrvQ~LQAmz9qOT*@xR{(T<@dm0e}9t
z|4h8K0bli3e&Mp~jbL`p=vKVO?mGHFr<9=tW2eWM0aSE=#0do{PWs{A0cd5ZaD!^e
zOa6^I4*G5H{#{RypQX49X4f`5=ahn>(wdn-7G;QCueb8Wx!uIU&+eW<GavIlC<iVO
zph0`DFt?aS(=>-@3+z#rui)0wE7FI)jaf;#EU(MG`>l&Cf2lxI?x78VgBXyz_=lmj
zMYNBt`^F4_LE6i~6nsw@RSJ1I7~L_UK>`7p&Sh$fr>B)Sz|uPAkEirrn;jEqs9`3K
z?CPh3jLxbjc@4%NnW2CpFl9Ago=$TR`x#1`Wg1RJm}q>ovh(RuKeS6xAu6h)UQ+^;
z#=zO0fi_X{<6=Ad?o&#8=#3)@;;3N3zi)XzE23t)DA8iy<KFK1892IOs_74lm#}SC
zaU$z(iu{$0ZaE39R`~8!)gd>)Z?BzkMZAA6f}J%IN`Dd|9Xr*-l0Z(ax5G^tbz!*;
zc?ieq2v?4a>)>5_7w_}N8qF`e<G`2_B=B7WQecA3Wc8w(sKqm>t5d3U%ebWD0{3wM
zlF$!#ctTcerpX@$B5HCzyKH8V3wO<#C$Xrp|45<BV{Lo<>8W#54yyOQ{L2jQGbj?F
zk4Hsb*58&*RVFtf_Iu{e8-w}uD^jt_Cs@>mzoW!}@HD1W0gQ?Osr-8<nOz~1?TaI6
zs}gO-8csdq!{e7n_{SRR&(CY;?6U8U%)B2r@XVPjozGmL@^rxn+}s2T)JhwvtFy3!
zi9Sd$6_@g(fojo(X?Q_COLE2#R>W*S<-$v)+zQOaLrNhtnBd_WAt<edOSTwMoG9A1
z2fXbcb;R-x7YS`v(_B{wd86*m;larCNce-SLO5}eg#tdDF2C?kD}q^_9hJULExO^G
zD?%aby)uac0wno3fFSp6FsVP?+#&th^Z$7I%CM-qHe4m7yOi#3kcOeVyOHiL2_3pa
zx*56~K>=Z;yHk|zkd6U{;f(Kh&iOrmX76k5wbpZI()Jz<&*^^zdC6Yqq`uD~Bb-Ku
z%eSOHWaRMK*EA*80o%)FF90fYLf<)PV#SAxd_v`&S}-7B@8??#=Z22`aHB0nHI~4*
zlFHX~si}zi#}0^8f!2SO`;|Mjp-h#(;G8&6#=~iY{}!4?uD(?O78_QFLAg?{vcg!Q
z9riOB8J|hNptuwCp%CT3LIJk5d0?l-Dt09L3wtKK7s^Y)XFcB?E`*hACAofl$8T7s
zm({=GIM!PST?Fa_UYMGX{vy_-W+gUG19WO@{NCztMXRkgrzlh~tHZ(4P)Ru0{}~cS
z^cO8m-cY@z#K&m%;y4y5KE<+`U8FuMN>RR}B|)=H<=--<MP)bre&Gt|^zs#d&pg_z
zkP_r#4CP`r|3*)qyfEAyl6C&|xz!(>=L$-}mcNiQH(;(TJia+P!Pw#zu^AwPaC1d3
zdlY5w;zC4CvhOrrDGmqIg(lTpGZ9=_+9$|Ser}RPQGYSGVA{wA+`rAx543Xkjih`i
zCAnf<1`EQZl7?i_9>>?z=^n>lv3hs#$Y}5SMt|qDdDIZ|y`JQ>=6ZkrLSOL{;ym=|
z|AL4u0W|u)0p?V_g!_>A5&x0JRw0Z03Y|4_S89?86eMh6vOiE`iHzmabwn~N|GDtL
zk|TH@Oqn$roq+DbU-%vBu+x8~X&!LLdZMW_I|{DZu(I726sQXzSo`}N8eUV0D>ZjT
zB%pa>Vi|;z-ZCHXL3-aY)mw5}?-VS>+D}-xA^dWG2Yly$)A%AQ=?Q`4iw}-N?D2DM
ze3irXAx7)R(4*{a5P}WVXpRr)sq9%ikci}H4{1#^1n$eZ`}`?|1-A@CFtDy@;VDru
zvd_+ZzGD?YYn&1iu9EQGuhyf^smoRJzJy0crRW2te{Jg)iwgAM&QdVc%d$5NnINAR
z&b$`O|3~N$a1CQ}Hb<u}KGw7kV&FN?HJYc~W@-Pk&^l9dJ1^Dw^SeLi@j2Dh+H&X7
z<@EfWPOsKk3Dj~f5^T~&H$Gb-07T<EDrocAQ8H+sQPQ@UANg)iE^)PvX^nw@knCwF
z2iB3MgO!wjjldakWBds3tK1#c#=6)OF6giK*)~2Cx?37jsul9(mwpUTwK|E1G|v6$
zNQV{^l5k43g3e2V1|2kSF4;OIa3FGZEP~Wx(fiCSRs940grF9{G@SM)<uOxcLW;r<
zCHA-&-|Q`!zs6$w)^_Z_)}Gon=Yqr6srrAJ@(SmF%as*%qEI}jl-gP5!~!e)H(s)D
ztHSh>{nv98zq;|m48NVxE59Fm?`Bce@bvrDX|s(2CMe(CB2L0`bw(^YY^e*az)F?K
z+G7dYO-()2e;>EqyHQ{tQZAPhZo=aSsuBu%1L=>mU_3yf<=}HQp!Bz$jat};WBA2T
z%dig+oGg9xL}yUy`cHi$T-(T_l_!&cYx<dR<oj5Lw;Ee8MG(3C^3#lbv8WO%v3dx;
zO6SXK6kx&J8@Scstq77xbdoPcen*T=GtKLrvP#xfb0B&_Mms4UONV)RI?0L5locs-
z#X$JKXXQ>uoyg%+NSa`gp@ZKb!Uhh*$$GL;TJiW93JJw!-o&!r*_SGjO^*I%<9)CN
zNAfiSO%BG4bkH$C1q<C)mxf~c7j`C=(D=dk0=dF&S5M|n&c8cVZk(3}JyI2XAR-Dv
zr8f+N{H@qkH9>OZ8P&SsiaqY-7h_y)SMpM;S6{yuhhUF@TmuTj>#nmBxZmJxl|pSz
zBs-wmY)48mFzHga5Br!cU=eAP;&6&l7#)R^310tAV+Qy+Rgz*tMM)0D@=rEw?WZgi
z3#}OR)2p?#=lzEC-$lFYe>_UDFs{#mYD22g>W#X56M%Qhc?60o1-kd{&(6uKzcILe
zaHE;6M}pz=f=rU+8AY&Bh1)|D{rmIpy{2=oo|N0HCbw&x#p1QN%$mjE6Si~_1Kv-@
z&K&gh%}1O&X#zJ!UeOXa=76eh&$#0|`#JfvvvGni;~<fjXO*+({qm3gPj7--QC%q~
z>DySYzI`_j`r5R+u7DAL_Ata1@9Y|I%1ZXR!x11=<3h-_YUk-Vx{>cfAhXpHC~~iz
zgkf^E?Smz{a3}@Q0j@ji?wvy;YAws4EN?t_<{<-L8h`Kd-C%(Vbcz+Z?lhuGKmkJ{
z^2)=<$Iw|kwv{MPy578utql_3ReH*Ha>~0Gt1g5SGXYw4f>j^a@4aPxi1!;@W}|<$
zFiSL}y40D&Rnh8r>AXoZS6oB<XoOm|Zf`+tY=q|U^mY#jbsu~qhuaSwR?M-YCcJp5
z6Z+!VTOAEO^!MHjS-Ud^@I~ZOVvZ6d!(Y;eBHWK~RTZQ2#<S5&&Plcr$=c~6n+J9R
zUz|3m1`Y&0`(NEW;FVLZvYpyKrJ^K3Z{r?tHdUerv3Bv^#&Gf^fL7(_k>h?ss8%J;
zw>ng)gpL6-`n6Bx(nr&hDO`VBR}NXB1vCs^CS2HMqnoygaSK_n#gDcP1*i;kjZ=kF
zBoD=FQAn(-@Z<nk1E9;>>}j7WWWd~zogCgD<0;stGStj->;+YmM%OC=jCLKZn8;k+
zV;RLukFV}IATR*LgAPQOLA?#8Oh?4qit82a6$O^nFe4V79Ln6dD_cw(x6(+GegOuQ
zjb7EuFLZF$&_be}LAEC_duoZ)n`XeBnYx41B3s4Lq(@bz6)re}2SB2}7Ad*jpCmKj
z^m;x4O{usTepN7zb2$;@<T1*5Hae#`r=Ine7q-FkaI^?M_is2mGxjO^4G0)OCSKQ|
z%keKb%I^?eUu(M{Q8{}$V;N`%qF0TRUk`U#|5T7+0BSqcKP5tWbO)(YTe!crt2-sE
zMBk8~aCKM5<-n#aI<CY-e#j_5WGL^qH4l<27MSJHjOrh=t`1_P<cavU8*LS+KKY;}
z8}rowquhT|QRrSY)_|`J_$M!;%Vdbwd)5Q}(*!L`2t{(c|GrEbz3h%|-l4R!2t&}7
zI`?1wC#S;6WHaE9c9Hl)ZA9cCt(+eyY!+gv{kx3Ac5Ar6;oDK}zhe>`;qUc@NT*#L
z(EGL8^#pg!-w)M<TXXTxM)n15N)Py4GVe0QKAt+dMm8jCz3Ds(PI*NYesF!@m8!;|
z=_XP8OD_EgIOF@t`$$Fs*a#G1)+~o^IgNfor0{#1<H(-ltlf!|MkCDR_ZeHkiL}+S
zHqphK-i>K!hMg|19Q8=<eIiEXYhpi0zLJy)s6(Vb!6<3Ey#K_qzmW$^AN}6Jt~mhS
zFb0vAaqcz#O$0{5nEeaqbT7AsQotKMZI@G+9mVMXsKS@8Z6EZ;Vdr#>yrMsKmv6q%
zYH2I-q8BJkpd?Pd{H*2OE9j7kl-bV1jlpx62pkf}{3yasWAwde<l{>E;-Ptw|6kk~
zBACL%3Mx>Wkez|;f5DuXq3}?I?x?2+SR-&1(I3*MKZ&5vt$6y*MoUhoZxgy~ZepH$
zS(Ax9>H7fS`qMsh`?wr%ckGA5X)1KBNoB;q^~lFqVMnIEQeUBIdN=gdmX8Z+wPSpN
zk%bg3&J0XSy{_b2;ehtysi#A~6F{6pn9kaBh7S)FAHD3ytDF*Tg6o{O+z|_o8XFwz
zz&IW$P!_@8WWZk3BbS~9*4Wv$w((77;38<m9?JI|3Cw{XVoEXs3JvN?Rq2O&(6;VN
z`-4x18u(VFP&v{g?R}7+z@fnprGt*Zd*B!-v9j3c;L%?$7U2Q>cw9^H_@b13p9`l1
zUj9)6jTk7(aeAJm(&esFxv+_cf^XU69dGsQ63fimtLi=BvTU?aeW@aA81&&woA8N6
z{&&OcIk&-6q@b|QI%6I8PbVh7auKkULZGf}`)j~hZW8-+H<R7()H+v&Xkb^T_7psd
zE!>&Udu;a>3%5hwq7f~D_*ZKBdm5B;fCSgPz`DcONWYe(uR<@OfRmW&L6^#oKzh`#
zy+bPgKIX2wVX#$T2h8W{HYGm+Fo@6N>21}GB+<rXDmV;!zGe(F=FMJ@i3FAb8Gvbh
zzH``4J*)!a7nNcH*y*Y;RUfes_eXnZK%R{-?s$RJq!)jh$M!%hmq5#lf#lnCts`>8
z*9g8wzL~TP-n)(MvF@tMa7*URKT&E{vU6w(d->cg;TIh~7o$?VyjXq`d!Jbwhn)Y?
z-)d<t;Kpd52Gb7Sn6-pkF268wWdv*|UCA_ByFnL~4=%CqnHokH$oBTaGl8csj6YTW
zglNwtFDaOQ>8B(3EJT^FINOWM_bJR+Rns$2tZ~gdi0<mzM`WMtGp&d=>@*LT?0eq|
zg*?736fRH*@J}p1iC4Zo5U7NPBlTJQQl5sZ6ZY!S&Gbdw_OH<$t+Sk<K}&$0WKS%p
zo<m2ZR{$Bo5aD?a*sm56zrzk?eYg(zM8Prg&P|_`sOHko<H90CID+$d?d4N@H7$H-
zTsEgi5p!q9)%o)DjX)sD$LW{yzt?bnmZTwyxzt4Zo@<Cn*Qk88xM^ll*B<MZZbhH8
zg8tvtO%f@S(@ca_zNGlp{f_3Oa>C89yRa;kb#;i3k9N|)!rFI8=8mm>JX4}QDG2oU
z?Crdgg7Gtl2)hp&&39N9*=xK)lGL!70-<&z9&mFO!XR{QmgF~EFwJYLed{Nc;f{O&
zrKe`cz+k4li=jmktfedC#9|Db3!4I)d6Y7DswoG2(ndPQd=Y`<!BrW5)p2`~ncovS
z4Q(7G0{<?(9fE#J^7J~&@+QNt-bmcs<U+4q*d_c$?|QxQT{nN#+midE=&}wY6Pxt3
zYG#Dj)AfFzAjU^*fG~uCxqL#C=HF4H?&T8d)jYPU9gj~;x?E&$(~PF|mD*LVuWmIe
z+Be_1KH7<uz6Y*MqWjmLQXB40=1O-0V(iV$>+30X)<4;#ZuyS$be*YZU|UM_MD%-m
z?BS$F;H&#*Y6OFLuWN*$QF<WxXa=!K&Cl3*4hzLL<=IaU2*<kqny_8{0<eh8kDL(Z
zA&Zr(=7Jb-*-=qzt+IO^W5?GZAI%bgC_9`)O7eOhwQ$qig%nQFtj12rMgwo7&!oSF
zYnK2Up=!V_oXp43H^`ZBQO(uwfb&!ds&?~$?M9*2Kl>KXGyLU)HMI?$vS<A^AA<#&
zomq-}O2WBiQZhxHw_`s<l0HDKBagU7@oCNMr@}uJ1uj%+jrKC>vtSA%)bAWy{XOI@
z>y<0YK*w|bVoxt?Iz^g3HmCiT>ocA5e`q;AD*K6H1sBfI@MC33V1>QFz<aK9J^{)m
z3MU=qzta(VOij1w=T=SDLX#)j+`@Z%B!)-n&99UKY!E2v7ry{R?6%if#GR|s9Ls!}
zH@Pwd2qOT(Ief_GKFWNsI;)&3ADGX%5p9c<{9dw{KNG$n{)miE{jP@J!1#l~GB_P9
zi6RVH+>}RX!!<;N?NaV+bit|^q{l3{wI0Y)<!+`S%MpOV+P)2qrhcfiY!TyEBSU6(
z6I&=ND?NRA9p=EAj31vg?;^-o-DFE=AW;qIIx25mjTeNgS>9?po|$L|hQnx4q@hqz
zh@qfm0S_K;4|{#lY6X4#++iPF0wI$awEYh}<PZ5-l11|C$Pl;;D0p?=kIXX8hjERs
zicLUM`gLbGHhd#{`M~9gfJAgj{~b-(h(gCrGUF^2+w8qh_^U|shV$kW+KdpQ)BgOd
z&Oz244W63IWiRFG28Lhg)?3Ny`2gJ-@>1h+?Qh+rFS)nLka(vr@*1<w88oGAW1=dv
z7};zuk2fR^2>^EtSuXTN#V?-K$$(#98rPc!p^K4U+}Ze9HRwdr+d`c;-n#|=nzq)|
zfTn5w^LHOhTfn{F!Zzm9vLizEL>?jRKOXk;Mtl9awZ+O%cQ<;6JDYu@kciXv5S^|(
zX_m|kEq?GRG$BuZrI#X6{7(T6zmTDY!h7=|{t9}h^2^}!@x}D$;-=#d?(`Oeumn<$
zpocHQ5D4#4uG5OC)et0HM#*#UA!x|<PGhq4m-6sWO!^=Pv8MO$?uI}~w88_>Ua{?I
zrxXAgnn0EK7eH0*iA5qHCTOcsUASGPwAu`}d>8KJsaS-RwhO`tli?olcbAiawFbm~
z+FY<^m;(i5JTWSU7SR~YJn1|uZa4AvMt=w9zOA1@`WWHW`}<073Ghaae<Z53ekOEA
ztW8@3Ep!MEE_2aXYg+YrceJ>O6_1N-lqhlqa}vt@P5RZ&lkJ=ZKElIYXw)Ie;Qs6S
zOXY^3XA?wEebdV-nfi7F+1%;xO=!*v{$mCRQ4_txvB#uVR5ZCN!*G1Xm3qo-k3JWl
z@6eitp0Pm0SsM>~s+)?V{+aZfH|!L!qk&#R{3;O=o}@>7h#g<6@ARX)b9&_=zK7_M
z4G#Ib3fcrrSU^Si(Kg5q(}Ea6tx6v;_7!=vwm?VISLP4lAuF;Tdc3D?Wx23TssO~c
zE0W>NuxyF$7K)Xzvnegp`1fZoNJdq3gr#NrCa-BHP3T;W!+`oa?3+jc>A9GH$yf+T
zUI0AX*oWg-V(Mo6oe|k~?3^^s`q<QfL>;)D10ID>gd`#=8b0YX^_YArrDzu=|1a?w
z!*q9}cw1<2v)}MEa~X0Wt8W{r>k&7|C10FwL^1CJ+~)O+W)_DH7^N99A1}!nr+6X*
z_mmv__)eAU62>9%?0pn}Z>l=nj8+(utF6s)?uNq*ivz~kh#pD(%O3Qp9HY?#=;cJL
zqiK3o%|f3$U~__;vZW$0R<Z}Z1Frf<nnYAOs9YuQ^DocyM+K-Jk7JSRaaeiIz~I!~
z>E<5=*33~~R@>urW~|Y=jDJFhOimwtI>$ZpwIt0kx;^-)3Re^`mB1ARB4Wy(;aqa<
zSIV^6S{9B!`AzcpD~YB1FtqdkU9|}j;PaO_bM7y!jn2gsG|`WGPXriqGQ)^Q@RTZa
zEHbrR=+<nyKroh(dV$tZGI3R;P?p{Oz=L3pY@j)0I2wfeM8cF<)(|tDD+(0Qg`E=f
zq5+2(W4Mu1E)N<zdDURYn6;<AXdec4e}a{ttzl!U5B85ICZB$YS7-0zefyjhn)4`4
z_Ib2D7pB{t3akKV%<;j}5jj5Yq>2-0gQ$xdsDR5B0R|V}G!&6aJIfu75!bV5aP#Uk
zvPKVd^mTH^R?)_&t8AY!a(pU&tfB`eG_~C8rsBR0Ml!acedLup%?od^lVdlYF-^B3
z=$N4s`&6y074JY13rdBr{8zX?lTD9~|4u(fTQav{qt|B>lVU+T2AfF}2igr2FVD@D
zNW2c=Wj<)>S+K$wY=%E6^qTBD8A-Hq#3Xn`S7!m$^B8S&-=;q1Rkb9Qi4oJ|vh>mF
zAOjbq-pcUatk)xi8J|E&QIC}`x=$NaI^aB>%1w0TuvlXp75QhD52l>HuF@IX8z?V|
zK&#&0gnJqRvf5&IW#dHxXXUzZHk1hdgB<rxV;Y9{=z|V<jz*F%OQY088_7eL@PI;;
zVv0A6;R#%aNMY1y|7YYe>yE+9GJ*7Yg@u?A&Jd|d7J0JGBJF?j*J|-nKAW&53VKic
zmFZVyoxAD#r0*dyK3J=VRi*!BRz@L&Zf<(}K9wY=rdK!KY9JI}-Zj(K&0ue9E7>yz
zPlTcV?b7$to58YsZJK*Y+xRhLlf9XhhFEhj-Ks|ATl8JBZ%y)VC2zYn#~s!X@C}E7
zCH*I@y2l3tvLa(S9bxLItK09y&;8<g*C=+HlBV)E^NJTB<|>?*!iW2FByjR&qZDwf
z5wV6UZRCeDQjT4l(ad_A^oD+|47^h3nCj~PO9A32hrX{qW>pj=clG(Zw1QTXp45*b
zep3IF0szc~J9$R6TQVx*l^X+#_Qxl7c==}wa*rtWJ>CVtoiO+a57Hmts@IE@?F@^T
zM}x$Hw+{Hv%_K)kU1?Wy!M;ze!2u*1r%@9{A@_zvlvl_cx>QcGUCezs=DjeU4K++f
zvS;+_8NmwmiH#5<7<$E>Q2~JAeGVOLp=x$GQg_Ypg%!G|UTF_s?6QhmbA@_fk%qgo
z%EFrilfOhvNm*mYV^kpNB11~NZKy)$tmE+KNV6HRJ2X}s8JI%QqUkeIwqt?9sK#Jc
zZ~egg(k<NI@&mYiAf)35&6-KRZ5;D9T}iu&3<ubN<BQSDouwu5MmoZAXeNmtoCtSp
z6fQ`Au@Z?`G?PZ#QsV0xtJT$j;1cwIPGf59&){Xi`zS4su2<et@ih7}YSB^%2)h}o
zY-4|?QwQTcX&Ziby(e8jo!T_SBd=@-<|z}6CJgg>0$~guG~Qa;I!G(vy`WW!NlOz|
zbB&XsK3XXc#!jl3N&Ib12jhl<C8X!oq-bHm95!S?vD)6BnO96^4uHN5%_9}y)^ssZ
z#zi)IYK=7=f*jPg6BkG{b6e@6cS{0$E4Y;$YDei9P*(j~>qfsO6{rWLDO>Nk8?dn5
z&!Qk5u6WJBnwMbI>C>En{(*N)yJ#j_WODm>uOjU0T!lQwf6pLPY1<nT)?Xf8oU%ZZ
zLms@HDoy!M<%yH-<H%yF`qYW}YBj3Nr*4o6HlJZXGPPW18eh(7_HSZbk_vIJsxs`s
zss|ck@G<uAM1SVknrc}k8XU<*`bpg1OEvaNOQF9N-#+DPE`Xpb8ePJ1OXRx_t)JEn
z-${%QSs|6BXt<V(J)H;(my8aC&oy{~OuLI5k|s<pv$JuAVEE}{LlvIojKT~kTt5+<
z4Agt3>2M|Aj@gkm+wRcJG8BW^g_zEPHp4JqP+%i(6BEcEL_cj#r)c{o82?^?4@o&c
zfy015D@wz=^}OTa`tH!u2ZQLhlZ+Hy4zsj3N?Uqdc>xXb`e%<?;xu~V<!|NYkZGx0
z>ur(8rQ3G*wC#XPaI@k~jCz#1G8PR2$JXZWKxEZ+kA7v{U1cz2fFY)wqgFes!d$6V
zrSRMqp7aAh9L16J&3yI5Ly}}0{h!A<IsRHIejs1iN-4WzeM85~>*S|diB`#UN#@>D
z>>72tDv<kF`}MoDpJ#LZL~rW6)57d#e4|P?OY4fX_gId7K>ywBLn~FrD0qS;JL5v|
z9_@!Lwr%~pEv{7Uk|F5<5Je0urrcnj>#)&^4O9f6%GDY@1dmc#5GMQ3Nv-oFpYg)+
zgkK=9xrlA5O9jsfkfFfi$D|AVXFk{|*M6fnZ9mxb#S6x8os1bp&2G^X9Be=WN+@RR
zK7Yw+srf#k=FC!p@pe{{z`c4VVqOK0bMFoX#9N`@L!M8F!-8Ns_<+-VE47ME9K4uO
zXJ8<ow?dmp>*mI92)``D3CHMHpX*z?!6$(E+@V*(?}?3?%l<efok)!^swcN&m|I95
z)3h=VTHP~CY}3$cp+l=bX7Y@(hn>IaPLLlHqc~b<`eYNm1d<NJ93Rnv@$5lw>5Y$M
zN@o)MDa*d(;rVI#Q(GTU4UF7G_t291Np6!QS0B4WXECS>w1V+O)qTgTSM8v3qC{FV
zm!DZ$P&1D#`lzOav7v321-wEX2>@R^DWc~#+Iavo))$)>_8kk}m;6!cVYtn`2D+Ko
zswX5TL*|gEJdC4D?|ItYJU~u_QA~*@aQOr8;}RL%{P>Xd`oB2&D5QTBh%b>R-op?<
zrup{_{oJODvEuY0(>#8sGAxyreBQl(5wGNQO^?R}O%tE&+g7gH8iC&!9H>-7Zy8c5
z7JnF$X6v>B;DI9`2drWW*ORix^wcC!j>zr=i)}2dGQVh^>Grnr;|#iQNilO}PDta|
zs^>Yo<YGl21GHQAA<c0bN)xUuI~&r`UT=n8S*HaQnQ+mT17^tHW8TS&02ci@+lEf#
zi`}6GX_$$J8kj%QneJhZ5lRgd%f5*hjWb|O;JmRLrW{NgRzebj=c3$w&`E#Hb;)*Z
zVHCu?1RmqyQzQpMaV;$2_=?PvQ#~v!XBCGGDaymThDatGm#0T;ayBx3O}gvX!b+mr
zQtNW5Y$|^m)c)Bf;=h35udfgY80(VkNrKI?hEmy#R?Tq+>8oo&PBmQki(O~(!*wlE
zQe1Zj83q=NM_+zv#VoOmNvXyaig!v4>ndw1;^EORwG;s;<m=@y5j-J323VaE%09i#
z(}vB_bslhyrZ%L5ujzp3qd(f*R~*^*xLBK<Pr68741pEM0DLd#1D!$7i=sW2X$0Wa
znG|rZF_`Uv%npHw3uXW&Kkdqe@k(L7P(EOY9&m_Pvol+{RrRrPb+=2Dvl2-u>(VO;
z0G|~K#$$f$akyJ*1<ERfDlOB<e;5&{Fuv8#BY%hAu<5X-e?!pd<>(?mOgs0RY@9W>
zA`A}QQ*WRqPyu>ePqUlFF^u{jr&U8MZj9Y@2fB5Duh+lqD<U4p_^hj3GmlplB9m_B
z3IuWID{JzPF(y@sp4AlmDa~f?g`rVUD8JEB=94$F*ChbvTZ(=j0%_!>ffdOwv!Z4D
zuw)8a9NZnsDD)RCj;p{|B$x>Rx`Sy28;G3l`X!BCBegW>vT*?{0DFZc4Y!@W&o07J
zB)AZKuHE|o>Vu?KtdWHc#>O84?lMO*`<ZBTTKW2%`e6wbH^*sn4ArjBqHV+OMr!2H
z8wL{;`azkv5R-Tsq7sGurnsI{F>Ep|2SN@5l_-4&!b)4I@Cq;rPpGf*znvgFQF3@7
z)>&SR%<!eS%{XJC-R4tuD@mO~lg!@T0o*-p<!&vV6<%=Yc8)u|l3oPJFW8>n?&Xm)
z@_>dvTO$@Snow-xE9f{KgKwrRva_G-hd{sa##x#Son<ex`KdMP=&*ow;7@smO?b04
z*Of><cPu$$OtGDuae&+bsP(V18VT6xHC)J9uY!$#0#isB9|qgQ{u3qu5Mm^*^uFP$
zxpCh|cDx+_(<O|MR3Zm&Q+;%19rrF1Z}N07n;ohy(-{BqGVq>}H_JB%uR>S)!wlZf
z;Vxn9oV^T&{yl?cuclHD9m|f-5o3QjOWDf}r00?sLgtx`FO%T4#7V|2HltOZaEndg
zPNJZEX)r&cHEheMZx+%r<1mvnl!taH*Hco4mn>cA$Rg93X8Tdyhww8?u#bXCGr@F>
zUlZmVFT&3f`Mwl&3ONf~Mr%`dNq0$SXKw9(7XlZKE_IpSe3>SaQD54LUi`f~yeN8k
zDKWN-8ZYv-lw)Ol{zvNh8K>VSMVwHPlMF?>%|dUll(|KHObfOcBfG^M60luCa1O^+
z`1k0<>lbV<8!BoVVD;7xa<i0u&=L=~o&O*FmE_CevIPZvMLBJW3U>7`H;n{ZPg~^J
zP@14ku1~Fum*<=l`NFMD$29~<-W~icu-T?vMvI|Dh&R$(lbMHJsf@l<5xN|{gMf;m
zo%8o>q<>JEAXgRSsFl~ztpodb^u?U}%hEVg_6x<h^)?czA=kWlW^-EMBFxfpC4O3C
zRH$UYx|$HSOJCU4*;|3s2G#FTWtJ!v0IN~G`HkazFttG>xX#GbYHbBrF9n~O?qlIV
zdO4JZ+E<$b4v@?g2W+}WHUN_$rC3<@KcpA#j_T&!V1OVC1ZoAn`Zd0^QE3FU2!=N!
z(qSWvsLZrT$du#rl`aUReYD$QNV3QQv}4;i+d73+MX1bCdQt*JMueJ@nPLLJXwcAJ
zBOtUe&^+C|d^-5!eWLGstLm>Yt$IJvt+c#0)qRlPcqV+WtLE#Qc=fT@iHqH^=>u5<
zN8zQWyxiD+`L>&5WQnnf6MdyusjsnFszAox&xnJl^j+}Osx$bN=^shDxB%HAcU*_V
zR~unW&6Jy^`iRa1@!GW*aomz`zrE#5RCkK2!Qx4X9AbSIRk#q^Esmyq{OS5_?Jfu2
ztHu>w5AJ<aYHrl@Dzrjje)Cq6xn&CPQJ?K?wlaf);Lj|n)pxKYQ%213*C;70jT&X>
z>YWE@zQMv*=P!`1zXFEn8NUG}xxd3)6FZ!o){H>2f$?bBJ=`ym2<AD>jCSdYAf0==
zuq@}lADS??JO<HUDz%-9;xM!m*B5QW<ZIyg(8jg8$Z<JCBtw9jmT&HbZ|Lqct_tPT
zCWX~PBvbax-dmub7W0+;EPV?3-`x1@MYOFd=Xr|<ZJ;?l9^9XMg~#{xD0=T0Um@!8
zV8`Meu#k)3AYDhDr7-ZgS`V$?yD08RRm|@4To<S%Z*=A2?;)+)ce_l27WAhmyprM%
zC!0n{s6fHr7s9z%r<&~DiTX*eQa#eIR-X>TsHrRlzFS$|tU3dhNZ!g8;)RMKk&660
zD3~1hqZ({XXxxFOi1+4z9HW}RIz1N~Uxe&jDK+Y|q48IT*+95!Vb(E?Q3E#T{r$v<
zv)Y=8aX`h4^mpChYU(ArUH3&Ylz}i7B6##@(&A&Zb&HI#6#nUEbSNprm=dRQ)Cm_o
zJ`#}5i@??Fl*<kWxNK{yopBRN`NLjyykUoi8{Ss4!Ny_=kz>U?i%g-RY_LI<$AbJ*
zqKyw}EyZ#4usYIbGiLWk0^w;Ye;DF!%@<ml^1ug(j%$b|iHtf>m|<7>nGecB_p)B)
zUq?Whkty`&;$U=!%<)XS0s)4Qae(vAwJLvJxx9*P&FLBh($M>}ZN>QBR=NPe@2I7~
zsGaqA?bpkang3cPqJHyRyhELT@5aDJ+FP~Bi$|RFtA!fhQC8}ET9V<vn1*U1GQTxy
zzB7~hjWT5AKlR*qpU03`^r^`md~11R!scedL-6)Qh}I2!^Ah2#9S5a@O@4>%Pv!|~
zotEQZfBaLQ5nB4IBfAT^9cdofLLNU(aooBK(=O?Q_R*EA1i4AWpLal}xNDwWWf*4p
zEFCn3#^6jy*}}D@iu_B9_H%(W%d;Hu2&yUl6fw=X<9dK76}##kd-?lkxe@gnjZ2b2
zkIjzbeA{2<!(%&*)GPs%Fcuj7d@c2!M!Ab-Jwist*X<<V1BrW6mS&c?AK&i4&DO*F
zsM@T?F0rULZxGtnYL2i*$1aPSqZ%fKiMo%6s135VZp7UvALZ6W{zPrBKIsU+g*!O#
z48|#UO1R5Y;RmGT&Hck88+TOc-hhIKGLEuLL{9{zSyH<Qln%IUCuB@{={|KU7<6~)
zIxjyL|6W3&Z#RtHPJ8clZ@o{c+BWwx9q`@WqxC}Ez%A3Aiiqo%yBZvR=YrI6(P)4@
z3Kx^=0aWj;pxI)H?tn%4!0ZtYC(Cm+j_?k(@UdH@K1cGOqO4!eGl1P>MZKOv-8Q7r
zR{>%=`-Jt}7KN}wwo+gm(C(SRG_djO$IERcE{=~z?`o8d1s=3yW+|#`{jxXO{(#K#
zWKc#Gfsz)|$@&V;PaE*w)cv4U!x+>X9)wA}&Ai^(+z&p%ehaCt_;!6$ezW!A5veGG
zD3c~`!z)P7)WcD~u7=?qgOBaMUA)iXOX<C=-d|bZvFh9WGoO#rf4Qxqi6RFKG;tv=
z^oOQjHtnyieZOd4ZSLbjg;`e1G~!agKX<s}AWwUJ8Th)daF^Bm|AM@iJfFp%PFr7k
zS)S;LOjdPCm<MiUN>fb+t8h7&*34YSDvR^CM>>7N6{C##j+~Wv(LSc{H5QklS71uR
zXu0xwK{~M>fgkF}BHl@VvXS27dY!wu5D6=z0oDn!lw_ix)ubr;tzrTT%zAL-E)SI>
zlea9Q0O0n<bVj}RVL}vt2q)fN7z|pRYB1rxB$pshE-GnL9an-r2a-kS+j!OZBC`|{
z>XD^1htczzG=F}YjzA+QTsGR_p`E!$<qr<w@_UDrVl24%p`q8#z22!$NTf9L&uOmf
zk{e>Kki7>yYI+&ee!d<AdY<ZwEK$mO4EmIj>Y+GlDH~G9thq?`GO|H~d&z`5*#pD<
zpc+Qe{$RTnk9-MyrFlviY%4eF>JwpllX&>$-cC4t=`&LinLQVu$L^?&-r=R7!uZ2p
z3XS62dmvUF1ha>p$iUVveB|IUy(F%5CmFBpSmRqI3F4L8yF(oUe%4lu)p<xQZ0}<F
zAel!XmRTQ}Uf$`86)iE=%jv`P)$(;HPYH&67%(N{Y}1O@moEDG*<Q$WvzXzd_-t*W
z7dC;hD}7EnITnhsRs}U~Dk0Z~l8E@b2C(J|Jk5PCnkQI>T^8vPH#7?S;-S*?JwKn|
z+mc_oA$C)ouH%#%m>5{P<2~Oj2q`~qhL-+IBRQ`#t_Bolg;o+grv+)Dbw*jwm6R71
zT7G~{=5qK~GF>s@y3L{sP>#ib>xppCisstO<W!{A-gF=@p`M(NGJ%TtuP_8@_1!7S
z`J+rwlh@2L$SLIMwk_2dEip5h_qTLiRAw6V@p{CWly=#qO4alGEgXNj_DFE(_}heX
zeic<U&w-7xm4kl+>!Kl}INgk_`sN7S<q)QRnP+iW2b3pXT^HY!u~knq^}5l=2s(br
z)b@jiX;&j5<>pX9*~FbZ#N;GRLqd2k)@Fv;Ifm|Uaf10k;U)Nc_=~#xAw_^J5~~#T
z&2YxdJ!|6HFGZtz!I`hjfy*NTETjTzWM{@4rZMA~Y8nf&ZE!K0bC(9Za&3D3)4kbY
zHD{7Y&A!>uw5!T+1nUVzHOP<y(Q3DmS`Lb`{up#zU5U}u8(U0qtN*T6J@`A4`Hg?*
zGoOQfW8^65K$maah$!apk;KaU>u8q7?{!L{+As)u)5yS)@<UpwNO}ZdZ^rNTW!0iy
zC|^cC>JdY53ah~!xYKAF;B9;x?e8P;KDfR^;xoOD?x!l<7k*%%<H+F$MF^9t9!A*f
z8Xz`&!`X5-m^~baOJK}4xen@y9XsFK4Ol0Oufwgz5tjs2BXe$!1Skqf$1##JD3BT^
z(-`4zlAgbDO-USr(S{nZ6TT%c2v(DA&pw=fsMu%Uo*JBKB=_Adn4ShTqAwJIe<M)5
zio;`rO()Go$lz>IJuo@z_p|x4y2>O%5Wnmj0+S^k9YDdeOMUh~)S@%lFchIwlr~wQ
zh#dk#uPnq*A#+d=C(qX-;NUx=yP&76Up2zJmkOJw5O23<^@>MZEYn%$SQEU5QoV@M
zCYKu5`0Y}<66Y#FMVi1qEo+7#7yZOf-f^nGg;7^u8Zwd0-_}4~EzlqQD*(1$Vrs;y
zHXH8s=DGYpigQTTVY1(jlC;5o0PV|<TZ3+~HBz24&<m6aDTRQQ0FTW`Mrbs!kVuU3
zFEnjt>IdfbsOM-S(6O&qtw8fotS+cw6A*A!W)O<eh-V##%8!K57BFp&OA)p0GMx8C
zNSKee2T|y#xcO=)@RudkSWUsI?8!OGQLb~t!{s8pQkYw(ocI|{Yx{yc*Tq9_vOdht
z=Uw3KPry|&<UZ^6euOR=n)S=-e1D3T!J7Nc8HD=lB~S9uh_b;~dsR)Mr?d_CiUD#P
z{x+u&`xXjdAbRFec_JXZ7kdjw!sGnPFW_Q1;`>N2pA0=_W`_$|l{WpQhMUvYIk9mG
zII03N>3lFRc}h;c@iAOE4or<`lzMAiF9|*7-p9OQI*0(4fG?&Gsjjkk2kW&XB1|s@
zVXJ2l?<>w5Cba3qD-y?#B`JY`{GVJc=R)wzkiMSPXV4YX!F=)P8-s;EtPb*7^Tdx?
zLsV&k>ktiDnu-|7QtFwD^WOV6g9t7h+}{YJ=B6fJy+rbtWfk;|bZwQn#z{<F(&<~n
zt1w%+qOEjm!BSQoAQi@|wt?cvkIMeJ+*c^fdUb&QHLv84q)RbiM0qQ~hqRw*>58;%
z5(Ds96Do)XR1fQ(fm!yPfu!PC1n-%_g@B3K8N)A6O#gMqu1bnSM7q@+LS34H>@Xr}
z+j_*VP!36N@`W7HYn^!c2^&smXbO@dJ~RmC_9|R<t8t6ewvIt5e~6D}UU}e{m06{7
zYFcuVsdxGY2Vz}_ji+*Zb)!eZtU3ZB!5gwb8cfKz@Q>R<T5ee<Bs<RP2N}p1L3`CX
zQ$0LOwi%&q4TeYGYov~rLg4<Vix29Ov5%`S|1N0Vc~%32cn*X}fiJ0D=##c|ue#qh
zk}IQ#E|*Xw$>(E_ZHuIZFR4^IbY{ZA|K-Xl|K$Az8Q^a#!lDa=7!%3q9jb>e24+cF
z=(`XHr^4HNAfJ7^%)S<5fcxH8V0YQ(nk7UmMB&9?fKJrU`wvRWHdVnew}oR^OG651
z!g6wP_lGFOl|ct}ypRpL9OzWNA#E_WSiK?wh~dT<6z3#6dN}Q>{t$%r=j&%bVgy*-
zm3C~_n_wFmAJ3A~>UR1GX{hg~aU0u*ogaZP-p~<-Ce3x@v@|*U0s40^k@{_}<T^#L
zHUUZL!Sy4n+{b3kTFu48eq`U@FO$I^;;8o0tNmW?nU#zEUb>Dd@+8h|V<TfE5vgZp
z{4YdBzFWU$Fl09?UTIt)*!^)Wl~y_SR-`+nljfl4uq}_jw;C(&`>ebL@1^tH#+J3W
z(3eHW(%CcCYrC>9OYjpK5NfXMrX^}h3q#l7s|UlyfOQv3Cho3iqvsR(e+uh6iy{Oj
zmMP)}y<RKj)V=?Jw=p7_!cqJ}#{%=+Y~TQ8EN@l~NV3h*?79ourvrpTS|J3A%*oY<
z=?-HD8lZmlq*?|opq4-_Fc&~!+5mg|CytF?dX$R}qoqo-(HP%uUb4WRc?PTl3nLNM
zk<N%bl|vwpQRiS0dnwqSW|Mub^>FP>$pB?Z5Mp;?PF<wcuD4$5IEUxn8%C$1$WH^h
zh@?(%J)fD0WzkL=0$%zXhrwTR1@vhVJ|#%@Z}b{)y*YS8MtD!7kFk)?l_LIAkA5Y?
zFSnC{!}86op2L#8bUnD^>R+?>@98|zZzhif`AAg9=k4grRqxsf1yl?^T_(eafM?I=
zwNKM)LHF%~N>D1-g*9BuD!Hz`*RWK%4uUgD5{nu{h7W06Wg^LvsWU<PrO8)J--2P=
zAfBKRxL#&k8r_LR+b(3PTDi12PFDN2<<Yy3ANZy&;Bg!ooh#y}1ujy-n|thmxH83<
z5I|#5&CdA^35;CHGB!<kpR~F9EwB>sw$odG%)-;I%LK@LYqbh13_5!)dKHaCC?D6J
zyK?-PkL_Za)~<|&f{?gN`o8scIH}<ttVO3l%&3}u@uvFU28@n?MX^~a8HQE!Zf=Wq
zR^=f<yo!&2_AR|=O8QtvIS>D5SNDpYTS3#8jI(16c>h>b|IDiqE7CBOQ^NT(_*bL=
zecE~KI+zMd+VqClsduNuR}%b=U^^(V><~?ULnudx6iKKkfr-k{x%0U5tdB)eAm>b_
zD8lblYaYC%p-zgMLJ~d~0q9zhM{j2XM%}yM{h}_tQYh#mh;>%lrRjuIOI;1O8rLL;
z)F@z5Q<V~8gxX=iti|QIDewlLW{)fT@S#?Tcowi_fd?bxiUym1ZJw?N8za?tPCVbQ
z0SEfzpq>iKjLMF9zU|z2{wkw`sH3{TyLa_<fF)a8<Nn?%)`C`IhO4i6?#+8-h9~2R
z1`~7$i6N3ZC=hO5cYAh7Tu!<3$nW$4W{QFh=CWqIrbgp8Z*ctA1D0VTO<j-kXshIm
z$`w<ro3~$DH`(M*NNa}v9Z0`PkEu@1&;4PE)0@fMu7L~(UEG#oaFzQC6VD=!8oq?g
zz|2N9H4Osc@;?C$BT)uLem^qTs^K6{KgeqLa@kM0y7+$z8l?n))sZ$?wJs%zfWN{^
z2)OEv;|*tEIWN6WImDn6Tu8b%Jx<&E{^8E6uPQY)KkFFcZG5$eA+R&8k3|E0wASIG
zKis&x7kz=Tm^FQ<if5k83ET#ir9Oki8>W-T7K{dC4?42S;(zKT=m&jUJ$^RmNXnK&
zB7GA&gmYmDZ^6<G;pym9m=V4h=($ZwTzkOF+kNe0m-^Y|nkWizyPI~mCY;fu|Gdb>
zFvT{2Alc!T{B7YR7P!k56O>N}LqkyOgq?NVn@dE4)k+knv*>3ChV9s5g(Xm-jt#*{
z1<hC+Wdx6aMF0FoejbX~_EjSApiDPZg)~chs2<}S!;hb0o6~+NfFch}*6|Tg>h3XU
z7=-ETR4Ek)xF>-+)Kpfh#zfR0TQGaiW0Yz`M~etx<a-dAK;}2wnVCdr(N4+%kN&-&
zH6s{pTB6F7&HGfJaKCU-m>)`HDhq0K1^PXZ$*o}_d;DAJM0NT4DD2zqlF5b>{(u<m
z3^OYK=Masu4`xo_K>mv#cqKGPvxyVtSi^n?h<}<q(kB<lAL6-sguM2~GR#*r(`s)0
z5p7zV-i4#J{eDk9AJ`WugK%{W-!zbKV}MO@VOFgTV0hx~GseHqMdgFc6VeB}0(fu0
z0?Kwz?Vnfy$D8K2_-X1(p#FkOjI_zpHsxe0l|(*RJ^)UkSxTeVT{A+Z4j`@38}Gho
za{T?_tBI_zqhXE)#4dx4fn|Z;$XdjAxjZSN4zoV9eJGSEIleMX0+s-?pi+`99%pHj
z)Y0}26=Ki5fS5NTi|`OeGCid!rugm*kM5hx-|k&&ttuZ4zQ1(6ZXtHb{P67f%~|ui
zWQNDqmyjP#{n(;nPV@hJD@crM%(UfuxOBW-=p5)a>q2HhD+PkGPxVZbmG7KXvU<`2
zu`E8_;9Oh`A}O&L1<kR0$ic9``0O{$5)nyP*dosBn`+(<+N7t~i904i5JTlnf#24>
z#(RT<e@?k2AGoQFm<95BhjtGPI;6XiXJ7YUFuA08#GGJIp)Jvqp!4ge!78p(c_bWR
zV`*~``<2K@>r>txt`=11gn5&-MbvG1+VMpTD!8nhkft2K89|5=O~!hqh`yJ$i?O8X
znG|q=g}i8?O9I<X66Sj(Kq+P!w~%lCHY5tc{e4NYKeTbA5x~0Bc#YaTVZcMa#`xnQ
z(?s30=TCKGpGc0cQ_a9`XIRUvA_2D48cCX#cFSFv(VLSRPQoZm3hfoEcn;!~1fJyo
z_E@UTT36xm?Rr9QNb#O9BEK;m%}A{4Tt_GTkIaxi)abdo`p$wAI?>$rJALRb-CE2c
z3a}1TStwTKz8O$(gBDm#<(_+^j182}Vx$twots0qKzSMI9C8^TaCMPv$+z_^6}#w<
zei2fqb-mLE#k~e5wP*8eX$a?2kC_F8a{(6@A<o>Y6bbDjMnZ8Q?PnR-nDKz((RBQ)
znU2dcd=`&*6Hs}hI&nFpMW!@tmsX8cF$wk~t?;6f90`4Am)v*32L&7mS8VPTTvT2t
zzRJ;#3!Iy2MHvAP)qndVw(jkd@SaWp4VX4MWk085tURQ50BnDmxog}(a8o);Xl9_D
z`SuS%XuQbIq5U=)Dw<th#4OLXI~5?3yC6SHZ=4sHxig)5agQB;cBlcUH;Gr{=ulN-
zzvLOn_~|r42Sib7It;UtJHffZdm(gqwtE(Tf&TbsTuJ77xz#Rl^b)6GDhcM7Q%gUG
z$5v9lV;;K|_8QnM@|MaYNSi-2v3E&0sp3r=4im~T*`n1!1J=PXfk}s&uWid}$`$VP
zKqB+tbf7X&HgL$ofCb^R<A*6}j_U8My<iNOBs`}XEdhY2akpuDRq2b-*4-9K5>l{D
zb=X)-v(*?6mx3{0iJO=J9gY%jX35-tuxynwjV^{J=hGf$YvMMSMJ4$(`i)laQ3oS9
z@f%`w6aWiVvm|bcah}J<{w)!F1T4y9MtRwpR5q8T4=zg-gl5S%c}6X2_=my+E(>h}
zY62fGHop;AB9@2KKIxsOtIS)f1MyK4x3W}gC`6=ISoZ?qb0hpPzJ7e_PXvk}`@g%c
zs~xE5{7r3&S|MAM*&2G6O#Z?WgZu&0<?v+%-t_gkZ>?>i_^p;T0$q+t(in(uaR@Am
zTSJap8u%RW+amSypL{1wdRs?@SGcAREC%cjxA;vbVpjNq4!?=CG`)Ir6c84~A`aO^
ztb}{yR5aKFL|hWPm90)zjZ<XIr3jIvtuNlt&lM9y)N6Bod)az;0%YM1NBwtE-Fz*<
zK1o*Wrs`C_`j*mH^u5(MA8NeiIC0jIL(*}XQrbG@!a6pp^kkc9BCMu9q*!iZ*vN*l
zKz()o_7VQ11fenDvzCw&P(2tPostY~n0O;LE?zL;HTcmIv>vxu=s0_WVdyyZ-N+A?
zYz;9d!M&i`sNqyPw2fG*6^eqo^4_Xcb-dyR0S0#fb6WCy8i`JyOcmSEZkL61pbT>y
zjldBQDvPN|>#@P$Z1)`R;Kt5$-lp3+@1u_LGzdm@yx9!PUGGxwjwo0LJ43x6#sk9G
z2`PAw9vTtSNEJP|#I~aVP)`$V1{2Y{J=nLWvn~Kl$$*S(Q7^8;#VaZYVGDX>-9h15
zo@NzZ4z>ce_#K}4EGg+m6yIhk89pKsS9ph5#Ye%L%CRY)R@9Z4{33hYmID5&TDrxg
z$IbKorC2(kq>2x+Wn|7P8aZg5=kqhX$cJ6*YJ?87=)E$p@a>}qNd{Nc*UgoB%4Rb@
zzIGZ(>AFc`LtaEVP99a7<O`3#TRP(;CV;!<<V!T)f>#O^J|mUdWe*s5kP|vt3PSqL
z>1E!l+UhpOr1WIf;%ii(>tAi)mPTC_F;$wBmT#RDt?Ul@Vh-#SzRN;(exLzW`$fh+
zmQ`2SU)*ZP9atP35dv`u`l$i`FALzP&4?4|RCe|KHae<MovI7gc@lxLrM;g!x?U#k
zRTg-J;QZ$$$AcfCQd+3s%a>P)%8cF2X@=ty?SH)DlNJpup4G~ehhrqIX=Wg=B`&nR
zwKoj~x^6V*u4z~(#vz+vL0dqmGm{blV^6H**p%o?xhypI289`0)jQ#{xk1y1-hPyc
zKVSF*Q^1?WLU>}q7vSq#6ekqB0f3Zx$SKOnd9HKg11CcJ`eoy0i6^rGxj|Y3KtA2B
zpE!M_lQ4Mgn4ZN-Bgxy2-PvGDCIe+}PoHmpug*osFEGg{<)`-QD7jSY&W01h;j0_V
zg!Ed%h~2jbw@l6?>E)1C3ZI8Z8Ly{WMB9*=g+a&AC{`U5i>26z4misI9aVIcEQcnp
zUmxUL9WM}W2Eo`j!CU8Crz0V`BF}rIY|-E^Dg1`Ox;vXdcv<sQAhdaSj{VW&<yXK#
z@^jRamvNC{JSzVigznbYz6J)jGTCw%$3>}1^A^GQ?q}yBUsyfII)4cn<f+ccmcz@0
z@9ozX0k4rhB9P}z@6aQk_h9)I=~BVbeG?D77g#5(q2uv*OK5!ORQ29Q{iSlL=0r)_
zWx2xt#Bpa;A)2e1^KYTFlEZeG*U~R@@9$Pn;p8zJi+w_>@D2hPr{No}6d5CDIS2*=
zLk$NqR5-NzS>Dd~G2mIxWpC&9K!%U?U2z&t<FaN0gA_1;M!gW0Kh3RpfdeT8>}s$-
zV2ZWmQqIm^lWiu)O2axC@u97cWWau!HdtLVikB&Oa?j(vfjg%&OE!4*8K9+4^zA|W
zZ3I*9M+^YRTk$-J$61yvl#&4}*`i|HA|k=h=o~n<{?@&9oVJY>3D{b#{3f=Ed1Ms&
ztrc)w|Mo7C(XDJ-R9s9f)V$ybbg0g)c}+ks?s7B#@R?9(;5Y^R%Fcs6<Xstd5p~+;
zSidUwf5V^n?G0ZfJh=8+2v`%;^izS|2Fr_MtMp`6FWa$oH-Y!)MUl=-e@SZ2uobu)
z;U-Z)LDZg73AG-DoD?{e--koFyI*j+RXNpl^k}Vj&Ii9Ro7@cl_@5%^k$=(RrAF#5
z*hhZgl~(<gkShTU8)qKO4&+w993G5a=OR9GM!(PlGHE5j&{a#o2CGL@7g>C%#z4J-
z(wbNt$lnaGN&(vx^+6PJXauseH<nbU1n}*s1RxaCH+t+23@;em+49h3S3n{~3uQ#T
zSQK##Z@>IFf1Nd_yi;I9Z23-Av_gl?dG?nUmeDW>kpy^KYw;Y5YS0RcVraUUQsW`~
zc(ZwS>KycM8usP*@8s!%#<79pHeEb4MDWoJn-Uz#F@NOO%1k1cyUf1Oz5%n373yC?
zJ7Gfl1#GD0O2!dAxiT1F<hZg@8Q4;v1n*e_-~jb-^2mF;Mtj7<a|<r{ddIDTlI-}b
zhrh-rM8<O3AQ7#b#+@amuG42>WM#GEp08^sA<&=Pb~V-g{2n3P3H?F`j!`xm>j=(+
zjK?EsR%P*l>g1%jW=%>8(~Cdn88}X>ZinE!4(Q<;<ZmB_kjj>}pK<>3mPW>-C^hwu
z=~9wFf%$J_3<ayp;Uubc&&!b%x(zRa0e0FM4^)1s5S)2@=LkNY@ViWxrRomy0zB5a
zrQ}?~BgRQRfj=EphD9>T;x`L$$wZE}M58W{SKESovtOPunjjvXkMuYJ+=K>cI@6h<
zd?3h(0m26XHqNfEO)kG$%%H3PhpDq*i|UQqJsnC&OAa6sf|N?bfFP&{D4;Y$Nl2G8
zL#K2}4u}FuiF6K~($d`xLk}=<Hvjj$=Q`hD=Gl9%XT@*b_hDcV(Iedl*PyqNxPdhI
zTB$4d26<kW*)L)g93OBwB?JuX|Dw_DPFoRr5(I|!rMlT*x+w{+TRk|Tg9_%)0NVa7
zG?fs1!qbboQ*i*EX#4h0+YmwA`teK$(_fnm?|7rMflK?iD+AAWXn_v%@hV!ZA7T+d
z5!`@cAbh`c4HAd%{~6Fpvq3ZEv%JX|5P2AM&K!A&5q;he<S!;lc+gKo{_z67a5;}I
ztV8yvD-}iou^94T1cBQ!&EJ$DVNfAg<z}flwpC*I=XZ(IDKUPgWa-SGO#?6>V+T(v
zRwTTZRuVQ;_5K_5EkYHN4ZJxAe_x;?m7qq@=tU#LuOe#z8hL2`XZ_&c)Z@YhGjEqx
z6+CfMtH8!TlXr1H?xJBMBDoeW7v*#hOD=S&pz|GKI%~*1eoi9<9RdJ~KE=WwjVuKg
zki6yfWr13D!{T}o(M3&bftuAtyt0l#s*fh%q5ypl<(uAY8)hqWO8F%k2OkGhVl~mM
zzzV6;Hwg{h($^XN5fHD9jY|KUIerB)WtsOIiD#0gTz3bgdaHB4J(RWNIq=4ItVz=H
z0zKLePLsuNB7~h~7M50CKi!Epccc7ii9$b$SdW~of1WdtKdfEyUs{4<HNcMQQNH#x
zl<pJ*#!#W}-!e=xO@3x(gARrjjewCmD;^aTZxlAQ^zey)GpRPqp1LQc#dU8?V6Ue{
z(@$RKhqJ!RM`+NysjphsZ&e91p1q!xgqp6R9NC}_Dt3jftEKUwazDNE1j>dcmi#g$
zM!_)fLzCYcecEz-+U~8oSBZ}&M$zGwACJp3p!OaJLQO>Zb7*6iCGT6WuEA3HuaTnI
z`wY4dgjzhid)$+ALM_59{LVHp;-B}Y@%)!}ca&mvfsPRyUJUCpPmWH!>KjQMYU!xz
zxtKrSAMV8h+@rIFpOUaqCGBxx+j}@_<4QUf1TOPN|Kw7rjN_+f=}6=n3g*u)OvqV(
zdl$oE-^8jo$cc@B{;9g|xW4I;y`(<`jH{FIOLq-J28GQ!p_Obz`Ic2~?q$qs5rEpA
zeXh+z){F!Zr*WUfqJO@`N?TfzB`hbz#66I&QW)AP<iLwCQacRfd&$K;L}4sTP9fNf
z7!@iS4!$G{`y*vr{ik;>7-*Q`JnDjd!9$Ou+^OdyAs?E#veLE)$Rfa3FAKKd0vL7Z
zMj=X)kZ1g^V(O2;Q13z^)U^)0AJ!aq0n_kZr4cu!EZY&{JtyKBVxZy;za9CYToSmh
zX}AVEnez(#+<a?5eG7zQ(W8wOEY^y;mUkMe@+9MI%bPD$Z)F@PI>Jt4e6{bIXnzAo
zl5+Q@+m3D##cfb{rschts;cEi#h9*xjzKtkNA1yq*P@5dWAEV?pDN&)dpfsI_XoW7
zEg&+wzLu}nsrc|YIF{=q)Q~~mr9>t+C~E^Dgj4h(D+I)CRn(h1jJyjTqDG`;PAzMA
zQDY9NJ0u^*nnND*t!r?v)0|vh2P?2aYeG@=Jw;WbS`(bOboIf*qd~+Di>ITYf=^eO
zEJ%HMHQa*Zw7Vq2<*9Jq+=$f(SMF(fp~5)c_l5YvpRfx@{+Gcsu9neRF5DZm+g{tn
zXky%!mhErq-rY8wc(Q@FhqH?_5l^!*@nD9VYbciO&MQ&2kj`ffvALTpgwh#c`^JNs
zOCzrxx*JNSr$yZ8ND$U$%uxJZc;V5L5&}aIfg1zRl3ra}np*miW~lj9+;K6%QsMk>
zm;XJ1F&A_U1%W>GqX&ukOG)ezmIJ-9ZZf&Nb>{J?BxRL7SS7dV#!nWgX!5jB2aNi6
z_He*lSHQ@(A+Cm*?<vtM-Dazw&KR_LiLYk0c1rI4G3E?6P8l=NRvGB`MV-rh#q`6h
zxc)(!N~&J+TYS&;w0WoIfsiz$!((XY!dhtl1SAlLA%a7#um>lTpu%zk{rA(SL3jNb
zJNcGhr<2kqvgf}@P@#Cf%9Qf*#v+8w;~@_`D6qz2q29D*kh1knhYqvxw9irV(W_ZA
zK0rF2gdlAED_+5%NP<YcUT#=PLHe0$A5((uXzXM{p5xf=;?05I!TA&f{=|4DWwQ03
zl0!z4d@bbz_qKrIN7=5inxrg0$Q6viKo+;~h;BXt?7R)#J3>KFt58pI&0!bTxTi{j
zOvLFHg1^b<jO?<_1oqVN9vX9)a24)$ZfXS&XiKdL`Q0zH&D!scuQ$rO4^=<BHe}Zc
zGn%nXQ7q(mmv-Hlu6eB`*7iaunYxeF`I%lZVD86ac0EvuBnW-PERlz)>%HekD{wC_
zOiad9ODn)pKoga1Vsyfjy(V;OF$v2o5M<o{aejoYJJkWgqDr5yUp<z+4tigMK|p}&
zk(d$z6WMJ#@+6|I_&c8VR_Q)l_>!!|7m9Im9pb(R*$>5%{Zlb}aLis=ILP0#9T1!{
zKK_+50g)zC86f?-oJ=&R!4ulB47zePWjag+vXY}~>C5@kSq4EvWMq}dMBXOMyeH_J
zp5$B#nS*-6%nxqjuqNBX{ow`Ht!o<WPp$axHUAz$?`i*qg#LU_%c%1W8V1+;w@112
za^<{Gu1xS2Q2A5+E99%^kFcGTRmxZ|lnB+*k6{A6Pu@y}9YfH<>$DZhvTjI7Zwc6@
zc*!&z2J={K__@RWVO41K0Z*82UC@BVmzD54QHQ;ixvXMw8$rB%b`-3gsa$!EfWemJ
zGn<GX5%O!CBP_Trj4Y2Sm3chgvlLut?f-|V6bE-IdpWsAB)KyitmUN6a?M%i$K>>s
zTRBJos^73%4Sms9Wte@A*jRGb8~{OiE$l`xX)J_#fQ`W77(k=b1O!p*h2VOEHuucR
zUkw(kSOQfR>%ym>>YF3)U{n(>pJb7bV_(TDN^x0|AuV`!W_0(^l<5Q|{U<zDF2c$-
zm=;EqWXhd2f{)F=LKwfqOhK-E&?3*Qgo@$6yKxn&X%+a*ixWGj23S#KP`8P82&AXO
z^~0PGqOllCe6$?B9v|q#_ly4N6rS4R{pnW&ij=Z4YrvYXOLU-iY#L(f-LnHM%OlY}
zmWh36ahz_mQ!6g<eBOgw24(uTgG8AWCeoikm{E71=LwVV{e9a^_l_X@`>xvQ7LRPF
z3jEzWVH7&I98-_%`9H0_9Kf_rM?FX8l{3ltC6jG_c+V(FS*&vIFL6u)T#<cMgPo}V
z`le43tmk)ivH?38fK&WmAmy|#Dsc`;VsM`%4<FL~1_knBs$l*PNO=W3**ELu!x=j5
z5VTh@dPbq^eR`kH`V-S)T7s9;i*JiDZaz$8r|G^!I?_+;HWMI!CQjGfaF_p;v0$!H
zjM}a;%Jg%o4e7rIdXxK(#Zi@8-~pIGBtAU11a)l8@!@;6y}OzL>@>-hJF<vYDRK2j
zbQU?V2PwrEi^tV9mH5HkSS4u#x{OQQ+2hJ0CSvRRAN>bQoY-vIh)hy5d1l2Ur<^fJ
z_mZ&VIsSx;XahLy1H|uqDpvZi?q{XtAlo@YkrIRq2BDT?WiO}m&CwNmYgW5nv;RMw
zf~zae%$&Av1dMr@lL2G}GDdy8_4*D%cw`>Ww&48oXbK{P+ExKK(E8iQM?m6&gOyF4
zapN<m4$EFs;N`#Dwua)C@&4fsv>SB!0VRs^eQ5nJ(iO@7;B#iV#()I|E*AJ}9OCuk
z%;P5R{2mxkYGLYZW8r^&tigTfoQEyZ<?4ne^7Q>2t8cdS0hE7b*qOEIzSfH~ynezZ
zzJ(Bl1LEE>pxqH?I3!faPtTShb%?b=tId|M>0yZ3+(v3+#5Sn{l~r>6nbjz*KY56C
z=6#JZ$XVg>h{;maelSt`{BSil`{&=0zi-gRcgU8)lyw>@#Wm$Pg|`7j#THUyH?s^(
zd8`m4d5XmO_Agab!q<5zi58Y?YQ!dg{FNH`-a+_WdKcB6dlpDMMKwoc0P44|do~g4
z+IFFkYdR#>bf~gx&(b6JC55uT?!6`2cSL*hg>k1^!H2Pz_4)Y`6~6rJH_;|Dvr*v6
zS~_VdeU2xy8*fgDnXf{uGY1|<w4%On3%jo_i<E1y{M_T=+vy+uz&s>|ULYiRZ`VnT
z+F0#7PCM^@Czez-N6_o8Jgk35IrEE|>)5A`2iOzjnxL2IoPEvXrbdg%yU!zF-*^di
z#+`I;N{kZJL%kZ<zx;J!UOst^9*!H5^Fdbhur-3hR%U_^c?=+AP50ku$r!h2S$my@
z&<CFjy6t=HsUJBcY0|AWnC;59T6(xu|H#O{Hq3r~b!ug6!*hlDK}R-nbTw`*NohRK
z7xM`6Ofx=}<%;(%6gjaM_nDK!aHBu|dhb-aU)9zdzKApz#Qi{6a{fO4D^wDy^C$)i
zNKac4jiH2E2IGnkDCC^)q0us=m~GWP%Fd84;bhPpou{W{GuJfV4nZ|nqm<CPpRn#u
z3&r$}w?ENWk|GI}QQ!O2hUwakVJuJ?JcHKqDa>GP&vT&RMrAVcZ#j}pDdusN>nVDX
zjFmhkPw1&eZe~twvZds2s0p{-)8br7@U!MXQ}(>DR+HS4R7}B^w^pH=k<;i4hWgyJ
z-JQ=v?0tqWyqR^F${d^d0)n1C#HYUFR{y#hvsEg-#ETlH^hYq4l<t{CKl6K)D5^gu
zPryOCn9kcTDnT`KFZbl+Lr$)|V4SA4eE0N=HECKTY~fo8Q8g2aG5nLun-A@<C;U*N
zQR;iE1icG>Bplpf4$T6j$l|y0Fa^)^$hcUNrMJ+Uc%9eKE>&x<cY#oE3?Z#@S-au0
zHQiDjekw~Nj<#lm4%*$B3EDi(4uolI9(8pV`tM{?S&K}5o*7_mWfx#6)vB>nls*M4
z)UHGq6sh?K^Y%db+i>&NqL07F6`hWgeplnr4Yc$EI|G=uf69VATzD%)5kqqJ2(N09
zNW+aiqbW%-g;{YdzeV1NLOPf-eC*xwgTX8=pb#P?X-zlRV7mvJ53t?QfTdC9cq2Y8
zDkN7xuklHd7LO$y+y9qy@rpY{!k)mPlfM}tzQ_D@0&RC*W+^4MWosGwdP<rHevt`2
z<m$PZc2~FHvTtMkY`?;;v#NHGL7mh085K!8a5mNrGc^lG5Q7Lxsnt)9>=M^6YJ^;V
z|0Qe~XL<1~JqsjWjqu=+8eJkR)kAYI9aYh=t_^4WN9?pu_R}C&%_v-nu4%3auu9Ms
z(6)vk2b52-cJ){6MvCe^O*10nrxF;zB<+9Lor-s!FPL~tjM^jlmcVN_$kqGl$lwor
zHOam3n;USU#!%s>2jpd6H^BC@RY#H+B0wLG5YN4$H|Jk6(PQO7e6nFXA%O(&+`&*%
zp~pd>cw%a2(YqKv&U;kb9wff|<{)X);?f!yAGd9ZF@+2Q=e&!^;DpH>1eleT|E^Vz
zbGKxjLA`QsL#k-UQz6kHG4JOIdRgqhdbQ$G>V#e-GQ7Iad&RXz<@Wl}fd3JKQ67Eq
z<AkBbI<aw*sUlI{`XBb>GnvID>cv|Xd|7#=KD?c`#WG$Xp>a`9cU~{FJ0=9YS+E$d
za;|}Fw5-oOvixayFW-)D)j>KmP~aQw)-Yf}M-0eA>F_zNXpXa@)Q`8W;!k0d5R2}v
z$h8vvV@@TE<ino^;?(<j2Vu+@r*oJCDhU?)R<h2?VI97w3L~BTG=sI*^9<Xu2^GIO
zs-McayL8!dDZ8>`#=$v4K=RZrAg(cL^=;>-XqeUXFJ_l#Di3^!`WHp4`&jKQfN4Bc
zASMdOw}&6d`H<&<G`zOhRUVQM+V;BvIj3N_1Qyl)_vQ$z=W$$!P4fH_NN=uk{bu{!
z|7CY7ZrPou5F5PTL%oz#lv_n&tO2<HgYQT@+*+HLX{gT@P$%2r-zXm*)#1OpGk)!w
zsf97d>#1Xb)|_gFa`5A;Fr0q-VEf64J2Rbw{mWyM?yM4GBoE5jSQg62<&wY#H7Gfz
zXjvoHbL-Z`SSx6v9y)R7N#}KTt#6!Odn<DkW?3=n?yXcVNu$r)lQyPYFBtA@f8d&U
zv3gy*7=q0UXSse>a&TzWHeCgbgU*0)5bN@qDr{)`ZzK+#qi<BaQFZ0!&#b9G@{liL
z_luxG6UWE*sQ{K)gMdQzY{Yy{|0>%hj4N`Dx8ByuZ&Tc`%tJF$O;{>jS-!XrTX&@)
zdGJrsdCDc|jrLyPN!|81R5JAr=j&0=Xx!*=P!*TP6&R4Z36h8neDhw_^?X8y2QuW&
zKuQWd=>m)P)RSCkof%^6YEM7U+PohCgfkCQC%}Usf&LRmx_RCThotJ|RYD>9R2tu1
z+TA5Ss2g={2z-cJ*rhCW);Njr<cJn(AbwJ9P!|0Z`r&{@>j}|KHMfcMeijU6(H%@F
z`xQa8B4Iu}4dE<Kn%mhrcSB7<puz3`eroNV{6L0S3A`ZiX1hggH`EjFvu1I!G9AB-
zTYc2~9YU@x#>YoQ(I(0IcR76bNuDgF!}`73gJH$XSBdjqxg`ScJ|sDS2`b2j^=*Fs
z3_v`1{9=~@SP_i)lAG&FqN-3cTbtUTzr->0%<;1#K_30a<}Ji?<;+zGLu#_}D%4`1
zKML>dq55X1riock9fk;nu~QaI^_a*%B3ocED}98+h{-Cy{=WP1e9O=V)3n_?4#7~j
z-BdT}as+W!k{C1#XBGS~|0&JKhnC*ZaE<{-{Q+s-s}+{kkABwtqR<SLjWOA__<Wsd
z`c|y}WqL>${wLL2*W#T*-^)fb;w-hHr0wB9YeFv$=u*F*pcJ~I+&o&aN!^3(j0qOh
zOGSP)m^-1veuoI#K=kt;F+fx9l>O~#_t@T}cA^Qg9jAotAHLme|I$gRYF*V{Z}gAd
zXM#V7(o<sR91)^wHA3aTsn8b2ftu#D`o4(NAk8L@NG`j<gr7LkW2CRvlWK3bzzWs6
zKe-;eaWWf9!dv-7=$W=Do+X;U1C#yz9)mhxxwE_ebWHB)wou9ke$wqwaJ`MZvN73f
z8qB^~=7|O6)srTx=w2d5w9pS14^HRDkutB(dX(t)D7}Dv4%Tq~)(KT@J3Y?5;nTv4
zU+~qXdQ9glutZxB>CjUDY>R~f4Tg63OdOL8iMiwFfPNoGHl*eJw-$~*SX=T^F}Hrs
zHQ%mvgse1btR5f#^PVudLO?WB>)$6VK&Ec3H6GCodD@8*Y_~H>w>@u8__NH<Nb@<C
z`^OgvLX|D?J2r0;x?bNN2AFEvxrcRYd12y`JMh~KSkZioxoJ0Ds#tatnvA`By2a4q
zH&$D&6kplEke`7EITI8WMdUZp>VpN$jMLQ?X#_(^;td;Hdb-Iu=%gjWmDNPc#yW6`
zS#lF}TK^x?(@f_4$L36fBR-e<ozzCMmNuz<DPp^Q^KknJnUp7gR}Ub2LOBU6kPj)F
zjHxQ+^>&LH$WnHMP#gbvp~m$0ru5+!(JSvy85pxL-4OYNV)jp)laO53hcC8AUB+RK
z4LRji8#C$;Kai$B+kNHqEZ@DkA>xas>#mJ!>OOYALefsRAa=Kn7}R9a9zr^N{{;|W
z2SaXgC$sNEz4ga+4a76IoR1fTppUT%Nx-&!51k9_O(+o%-N92~aqiqw-G^i;-IED1
zX?<7caOC*iSOZIgz#dD29h%XOwUBlb9@_lGKLjJI({{YBzW0!>VqTaWuWsy5AGemV
z`;x?cjGr`E)WWilt#V&ea6pAAk(CDP8bbuc+Bv<Te^=LA$HdM&sAs%ApLeVuF(~m-
z(ZVyy2G`;ihmcw_a(xdiIvH;C4D208SGXotLA!CI?XZlLGVnxg)EbXE>WHRRV^mQ^
zkIl~Q_siz+eW9+o<EI!ER`-7ibw#dL1tFrhZ3d=WvWXN_qV`z8-pVqB>y`J@_*$Kg
ziUlM5crregACLbhzCs8nq_%Sl0WauFZ~>FljR%Ed5S^B+6Zz}`Q@qUrxyu=@*Exo#
z1DnZ{RYzHX{vD}lBbZ0L(c#O@>Us@64<vcKp<XrEdsF^0);RdtLFK^R%pPU!jPNyJ
z)}et+3M%rF=OF60Yi~nVa>JkVyRDS${}f<^rq?P#H-^(`FuaWm@dq5xNPa#`k5w6&
zZ~0ac$gN|Iv!g^XiKoreqWno5I2o3mX<HlG1FA$w1-B#5Lo~Zc8HkGk4LlyBn`v{K
z@pXc%4?L4^_PmqJzU%yYr4f1qXJ+5xw0i#esO5%@AHg7hMG=>9OZB`V0jQp@X5$_b
zwwD(UiQa3p-`r{$oAwep^lR8M9|HAMggjI^z+<^U1Lkktf+ohaGSHNBJhauwAS}B^
zg0fL<#B97-sDmU&#gQi^zg$-=R$28@=roTVWD8&9SJlg<GGapPsVNfZ|ATm<es!`}
zd`aYw5x5oBLH#GJ^91#RekIn~yIAkj1dGJS7R<FSS?CWEKD0AOuEaEiJ{d|qHBgdO
zf2}PbAclV7zM^sX^+`VXij-Wc2+9X#e6Oo#sCQ#4$_h1g077eWAvK1DJA^Cs>R0dv
zQ2!#k^sM~g3vr30dRm7q76-2?$wuF&#D_0<DON3cTijs@Y7ly~F{%O$E$=q8NxsE1
znDNK~f@e^2eB+kj8Cw?+O=;tha>*g9)N?O8JkvF=%r5111VYGL8axQHodF~1-yWiu
zO|Fg#3#DLsc@>avj4Awb&&nVB#T00J-O!Po;8T7GlduZ|=c^`BvZ>kFOf<HY*#1@a
z8|fzE8qlLx2526Jtp~M2>VM#~+GI%AlCCeL(Eb&IcZdDVzE{O%-AkzI?7&|etvD`x
z6X5mok{4f+F-;^m*~}V`67JU`&l|}mUgKLEL`Q2M#DnYEkK<R5h8Qw74pef$8#o-n
z{z_<8Rz=(Eyy9Iz{5z%gxNtiWNA#HLi=mbdqs8=&Ex=9ZaTr17AidBVO24Atmy13S
zmVSl-sz6J{+!cIZ!heRuE^{pHvhhQsJY&CCvkGlB>}l1$RqOE4a{?Kg14nBkvWLa>
z3lZ%Xt^2$m6YJ>3*38*dUX>^>t@bY*gR>FXU1!LG)x@v&u)h%>T3$O#fLy3pPku)D
z3f0#f_sYL3(};gSMBIFLcK&ac@{*LfxuHr*`u}S0kV4NsB9qj@?~r^-8H{}&wcIOt
z7c27dT*W8sKZ>X1v}lbAQHjgI{tZ-EBI-^{wQMe$PQzf5eZl}pl##MPN%9g`3_n-V
zhgH=A6ZccRc<lO9LT^tLKAP`EFN7iOBrPxKE<~b}kzbYMFdTYNSB^f1#mOWxjgVaM
zyp~Vc0sbA6Z+9aft~o$AS&%&SEXw@M*heS!F3hUpFn8PgJ9w}4<uFH$N|G2*A1Rrb
zup`dPp=b=SpeLs>#nIA+QYn&?e$5h2{ciy4){Q;xVG~+*{>FTdpp-G{ec9jKck3x6
zv>*H4lZKd%sZfil#y&uUZnQyw6AA$ZYm|2k=@$zJ$w$y3ZDwdfk+MQj#G-zgK9p?S
z0u{(en@jPwxTfltdtUE5It(L5CO8&+v@CR>`(gZnlnch0*9SAO16vvX<x5}*F4FS-
zU1m_$vYBCv$p4^dVVBxK^TnqF6LB<YU~lwQ%zk!8Z`4edbHon#mjRTvPe9>8M4Q%5
zsbxmq$uUDTHwrtafjgd*1W$g<nLoa*Y%WO<f|#k6i|XND-&V=0NTAQ-IE)`SvF>=I
zQ5rg^Td$7xFN{x+GX7~8JuZfoor&-48AVLiiV98HVqBQGa|*Lo#vlj>-SsTWycgoG
zjnPcqmO#MyFrCIv6Ov5QSpF4F_Jr!|lNuGlch}M2E7k7?#@Ki;6{lgS0_x*Bljh!Q
zuRfnBcn{<#V4wsSV}n8Rhhz!fbHXZm=??s%d-hV(I{ywITJL}bdSQ8`C6^xIs!;Hu
zt;sdg*weI4K?QWaA^QTC!s?UoO>mq9P0Mpge>ruxxl%44)wT=%j%(>M!8W*)W0_a|
z#RESEgtQQc+os6VDQD3Ln!4|Tlb?Xd0o<7scs(E}%8wc7%o-j)+GJlA+!pDy?QKKg
z;O?GZg0n!CpWCsj5X=cN8x(b1`6kiDYhd}Aw$r@)Ml{D`iO(z{p%tdgf=o_48IKX)
z$!L#ZhuUl_d56d<il5tY#94xGe4n$r`#&Ak;c2Q)-lUXTDUTaj7NKX1U4G5Ie6Dua
zUnZKt(xE@9@`99^#Bu2R_)OL&c3=;-dQ={d_)1oAU&bFD^^t_sV0P|ltHz4PN(9^|
zr05Ig4&OS_W5Fl1X30y&&x#79k$Z6<zAp=+2$btFal$u9KZI>3&q+r5o-H~u8=H(j
zgboq%+v(+pKo8vCvq-&k(dvDb8f?qpM8NsfTE*`IIz+iCiK@M76(dAR7^i)<qV5JR
zoZefwmh$X*rq#^;7``oY(9_>KF;g{Z7Cue~4{4C;K!pgrO+6&Sx-u&vG!*yBSF<7s
z$VX-x2?3m^-U>x&c@TpA^F#G61i8wfA^*0@z^X9c{vZ99>-lVNa^tQe1;C}oRO%(|
zaO8+!Agi~M8jHUEnd*<B82Z`C`KBkS^?sf12NU7V&xwN45LPqCrilLJRgKMiOUI7S
za7Vb8Tb;|FxKtPF7K@QDejZSQ{ux?xL|UEcn6TH+Ne~FJ6b<Cs2YA@qRFDmfg4-ap
z3~$!|CcsCfG2UU>QXQ%P&cf0L!Bv7vZEv*6u;kFj-y&!u3nB2^zb_O42vc1jj;TSi
zZw+eb_9!0PR#PszovQhxO+{CZK79GJ;Uq3nFS7G4N=%9WbBPVMr$iF9!t77Lvbx~Y
zA-1U&Bd<k(eCk>4^>{=mln>p-qyIRYfp2{|R)6blOPb{W1RYMN{fZvBsy^;alvdLn
z!;mYQbNW`LJAp~>YJ({r-*3*-DaF2Gq2AmJ!TMb;8UV)#N9qu$e0)%tIx2mb<=ggd
zD=8q-BZ{wr=ELD+Fav8#XT!QGVJCxrL>JL~g^_I!pTPS}xj)Bs(UN>uiIK-VAS(RO
z5cu7tR>(Sg%$E)Y3+n#%aGp}EkC;v-kt6*4Y;vXe$9WHzXz?kwJ?>+unqKa^OX6?8
z5=H#i3*C_s?eUaQ6YuIj@fhUgQANo3#?G++#`jQaj5R$YvXlNJotLm#B|gA<)Xwb4
z_LPWyGxDN_4!z>|s!M{fO4?aU+!$8pD#NaPJ;Il6;bCAdSxV&xOw}o^a=bS6P3VNR
zx*Z}5KE_WdnsMzi(|$3|n0|bB_LFw*DH?2=ya^vq<_jJ6-F#v-`{wrYm&Q92kAXcu
z3jWhrVfF#`M@LIJyvRTp(#GV6%lhFBkP)@EDg}6CVsGHsn<vyZ5n8<+3i#SPKP$1X
z>P8v!Hn%jqxn3%qx8D^K$nv|Gc|yhY@aQgO@9fllADw|Bd&*Qk2?jZ->|)_@%f1cb
zFDx-`dNX|^H5WC+=0lC4b^RT325NG!mg;11#X9&RPvEJ(ju)D}D>x)V)Zn-Q=2ts+
zmiVaa-bu|$$1pSI=RzD+fpr2O$JZ&)N1G0cUKNXW*%z0@=wc#w+>3AHBN~Td*{747
zl#_<Uo6S?F#2zbg!MXXlk#G4h)_@>oVjCE<+&ZeNzEO&08XK7)f;A4bB*pO+!tbPR
z3uSU&#e<z`%0%_+Xy9=N($3c-E5WW6UdR<<4Y^fBhsRcgwt%|!k9P%qEZ$3)Wg7qB
z(=$uuc-<J1r;qVs*p{RDA2ggncai@%?yO=ojk9As#>N;~EPlso)%J&dy-gefqgsJ&
z_WHtO{uEE+)_YF4(H8n2E?4{6i(%M`dSMSj)NyklFf&;R19OfHoKGn(N*_c`w&k}B
zwhq)wy)0JvS(Q6FjTrd0KYFD22s(PNf5i)v6!s?Lb0~+Vy`0Uy{^{kkOa1_v$i}P9
z$#&1!N9(5yd|i?JXtpC5GVRq~iAbTo<QM<#p*h%GOBZ*~+p9m<a}*DF7_?37^B(p%
z!I$9|gFI>=%qZm+(eLi^V&CX$F^T3UC^alCG>5_0b132tJhm0yZCA579o?`xrH8#}
zEP)<&A3<*JFP1V?HDi7~>&d`;kH1S(70LBn^$wc3XZ<oR2eV?-y<v8`ndx}w(aRB@
z-D20}G8&-U|MFu-*8Qon^s%!7^g-pYTxc8=wZ;?ebPPmB9+Gv3`!PS5vjxf7hC1=Q
zL4D(dA~u35=j5~dvozEVuUu1Nxh!vA(g3C9s&Vxj!^qWDrGK!ZOojR(Ot{RsI$(p-
z_cjb$6-+sEI;z5k#tlLxhgVi8*2-<%bWJLNt#FDW^JoXyYpD`#Gq;8V67cnB{pH;D
z#v9NZ?MZT12|^{ZX4A|TOeZ>QXaATU6<n#7_eTj$Bz`(rDSj+t*7)k?r2H{$`Q+1+
z?T(?xCDQsJR=#5RpZI(Fc*YA4l>A9%8-}FDRn)P*4mbuehCb@k`;!xM#Nan}Cjhw=
z#XQgrnFOgfehDmkFiY%#+Uk7VVnlu<GpiUocRfFP#3;H@iW85+9uC#Rh*BMo4bPf?
z$n@Wyl8cWfpWICiXL0F$rXh12l4$<r_~hD(FiDGp_)>>1*{2O7hu*>G?SogYc6ux2
zrc+rXaUg!83o%l(&d)z#uj*7`U#K-b5RAmf#5BON6mXe~;bD(K*yD11N*RRJ?&Ck|
z3bN`NNYGX`PD|>e6}abUd%G1S=I?Pi1~8~Q8Dhd;F@>@@zo~GazVhywf6mwQz%&C1
zuK&;~yK%9y<!a{<Y||eqnVNIa$CpXY_|!U`Gh>6&pQ!qnfdwG9PTKDK%vu%N$yomV
z+U3>oVXo$4XGy{l;lso7X-x*YG5}b#X#%8^`d?)H>znR13cbCv@(rTjVvrw_zjvk`
z|5{4d)>gGVGS9+fAE!xQH1#gKQ-pl7Wz|NmhdlOZH*~+^+}0V+a#>VPQo+w8fc9Hn
zTU{wq7doh#c3hTu_38|xUJ8nl98TSwyi<`qDFiPRol)pyO56PtG@y0xe%VUD6O1{Z
z$I`s3>Rda^hildWR-T8!^TBFCUsVV)SOYCe#dEnUxBluq^BUti<^9O@{mw3nXWp<h
z{wvi6foBr^GnJMM+!{IaBMoWq#KcqxIPu(-0KSz?_m&GW|4jg<@usNys<@L35$*0x
zO5OjmZJJwf_{eI~$wCfm^m(S*>E@u;J`Tsxa)<x{?Mh8?6`XVJ+M_fMMLN5Cu@e(^
zC!T~FDA%@w6tpVbS8~s5B%MY=Y-&wf{%CF-@BFggoUb=mhhwmoLcSh5PMA@JD|6cB
z`Zb~YfH1LNu^mhuvkXv=B_nRA^=gCX0}a3N6KPDvc{_N?*~59XvEv0vKQ88vl>~-t
zFI``Uxy7@S=kt;?qHJz$VESB5qv?7#Vvb(s^Ua?WemUJ(I9@8^M^VQtQTepbn*C=M
zao=_9L)mk_!KU-BQpcO|tj06}eG0qy^^hN1^mQX4Lfe9iA7QVg9pHOJ_0uNgu`<9!
zduv6=B7clupFU3-yHj7CT5xE8!yGI04&t#;t+5ZdV$Zd)rEb2uKgS8Qbpq<DmFYY$
z_GbpDB5LPaGDV<t(i=~{w4eA6ZnC$+s+`FXr=yXjK-3MzF<$bRPPfWBX1;6kwJ_0@
zr{0(_=G9*Z+SEeJW4fJ<HtPGcBm<?YE>qTi#B5ITD;_#V)uci3R$6Wfp@IIUn1%e*
z$Npvq@1wV3cxltf#_GdL?U?0EN8?vA;l}rC#|_RY_VKCil(*=!IIlEgk*AO2hTR=E
zR*cN%%eh-W&vgeb+}ZfNWR?$yu5>VCrvMnNkvFR_=i{=d^$r@FH74SSQ5dk4t#$1g
zD34JL0h2jn5>rL?20<r_ksdYb_b(gs<{aG_e*fHg{4AySuB1Np>E)<~40;kShzliX
z_w{^rw6PaTX<5NfX;Rr$bPjEq>KufVrthBU#K<s44uX%MANx^Oi&EB@{aO#ql<M7{
zz;j`lQ@F)nALYLwcweuy__XK0qncU&H+pu$J)gigGxe^qvKL=Pykw@i_r4OVzAu9^
zb4zaiEJTyDidH#oIF@IHTAkG5O{!`(nf+HKhFDHIeH#XBzpj8S2T{j3;pl?xc|oUt
zW}3>(M;~TDKW7po0-u`>*%2U*Df~OKk9glI<qF-Ce>*1Twbplc^KZ_B@_e^LCG@LE
z`OP=UuVWnogv{SqVR{k<{+iC{>Sb<BmPzWb{EbDS7^DQ75JAo)&y8PSihm%Vu93N%
zl}@r6@;VL(he1D<_Za)yk9(w*-|w4tN5)^&*3LRD@YJx>E|!9Fs@f))ODntWw%49x
zy2tVhzvIf4UbbAUD&Jl7x4$HeUYa-G`Sl*u8mC9@=x7UTT#0xG^%+J~V`N$+EH<Yr
z%$E-M7<ZouxiN~aB{FKT_#;=6yuHzL1wvx0WL;@_Z#|H;wUm!go8nK5ze>69TI$Bh
zey-3HnqQNl3M>HfDa5m<X+BJDC`<>u<dcyY!4lh8GQYX;SPw1G-d7?Z2wcKk)Xs6W
zaG&v+&iGQaM>`-v!el5qMXI%g!B<xHEB7~``#Nzx3<?w5o_8ML`NiN&t}Fv;^1BIV
zv+CtDsFv9&_)wZ7=&I>ty>Dx2c2*zNCFFlBwA}?m|2Lg0631g&-eUY{!(6r)tTvuv
zPorFh-X(J?6eL2P%jr3{M99-T2#9IgXvL>&5ZO@q3thiTePi$`>wE_J1^Wu`x@6ew
zH&xXP^7msc%qA%hN}7m6tqE}*xUCCSbg08ztK_}*rmQ)i3*KAuEZFZ}-{yuAUEMkX
zFNOFYb2flV#*3Z@a|GbPAZ~olOh3uTzDyswT{XngbZAsp(^?JZ(BY$qq^I6x-BP#+
z)ah`!q(yH$B8AmvNfAN-88gD-%W9o|-*okRo^<Y)?kqMO$&=H|4jpXi7CHfWl9()z
zH?M>-vt2@MULRB+cI*EdTyUn`FKXO_?B_<IA=|~vaYx$%K{+4cTEd7S?|%}UZ;1(f
z1CCggR#}9b?OGlV;U0KDgI$ehX9oLuMyrz{_MH4zX@PNFSgQu~dOSZ@D_wf${1}`C
z0Y}F5FGjotZEin8Kzm?L?b0OACl4LB9_)_SkqFnpFJ||0CadjiXYF|O=Egw#a8keL
z;|u4ozcWuzagv)~e~fr2A|h{xrbWbfWC-{C0f``|;ImA~s!6MX_}jh8tOH*2#rw-s
zYXn`AoOoz5T)S0!AHdw+x9FkVcOF#SpuN|luM91E(6rLbaz&rzIpDk1l}myfgQXw7
z%O+C7*|Y0RNrPM&)?w^qZ{{ZpHXN|$Xg=o3XM-}0i<R#AYUSAdCgU2Z<DPOzxqgG&
zPWLj6*6rB9h`@3%BjqN7VsiqAt=>L%X5PA;eAe15U}@nAO^*t}wGf^LfFk)AAW)B=
z3ZO&Up2uKRwgzP!k37@k`Zv@v1d$-;PO7GH3EVXx%{U{$(}m;<AvXw76H^%%kXZA3
zu-eJf+2q9;Glo5|wDF#IVEkcm3}E!d^41W5R8nQ}?6RJ63di4*XCKlDPO<wm#;wlj
zER1|d24@_PKOfCT@uTi9Q+|I>>mEa*9oH(km30cg|3mH}jW+W0@e^gOdhDxi9`i)8
zQzHlC{<jaY=!=E&I<u}QR$(ikzG>hLSoWXSvqH;XZV(w^jSjFlon3dTXF!;C9pB3Z
zkJ@tn-_Cy`TICgSJP^kevz;Uz{7x+ef+hIOpyh$EUbWHjZ5A`6bu=zU-r&`{r3iU<
z683nTp16f&!H;M(B^MPW<pM$q0*#D^PxM0jle43Q1UyYYx$CO{iYi_NCN$E%Ys^a{
z)q9tdCQH?_U-u^c++qqZAx_)J=S$-#@bzdM{gU@y=|X=#ozHCvp-we|19oEPE2OrI
zaJo<3M4ZXNt)4}4bU429l6mPH4Xo{m7CFrb1QOcKVHmtiKYz-_A0Lyijv*eomQ1?b
zX{=cmO5n&&E?$oVo$?PgIc|E~``RYkO-ofoj#~yx;n!iinE44Kb@(;Wf_)xk445E2
zV7Q--h8v@5=NuYW_sZcd8umrq@2CQCV{!0($>-f&30W3J)>Dn{l`9+Nd>+aI9th$G
z-9#LTc1Y_+8pPjQ2SY&f6Y^^Wn@n&nW_;4r3TQltTOgKK0m!y-56KW2MH{O`6^Mgd
zk~z6$IgHs+`8->3+MH%vi#r9@=1XYIxv1@;H=tz@&~<u=qbHyYBvUEu!d62pfZ<GJ
zV3@sEd7ps$(*~P<<(Mn800`-I0ypqE$p?&o-me&k5m49r7tv#r$c6t3dBHdEejtvs
z4o|R9D-`@{<Y9~Q6TzJ*s#b5ti>*w@7RSF|&t0bErYtH;pegU|>lQD>0blJ^*I`)?
zx2{&@cA(pt`_}Vf#%gI)O$gcDxP+PyWB#X_rB*O3Hil$F)ivBcrq@&^CQTjT;1UJ(
zWi8>wrD}_MP3(iUpu1s-&Se^SR4Y0ltT+Hwyhpm2pib<6@c845)1}e#ppiY;8%vFS
zxL-BK9(zQJ*^6T}@Li4MX(5E*iix}c{<slmfQs89Zo-o8g!}^R_kyy)7`;P88Ou=H
zNeMDSJ#AVg2>6Zc3d^G^paq}pkvznUg-bA5M!QKz+NrO8HhSr%cJ`Mi7JUf|k^lZ|
zR4|njFA4|$-^M^1=reK!rn*#pX<Ji21+Mz*o5uaS%VBm&YOhSocRMe9=!=4X)qgz9
zcRb&@?f5i;^RX=!4f#T5n=ywq%N`s!-r0j!K;SSTaT?EY-ua=Ezi5w5nx|9qrP&%Z
zmf_8AY@<RxJ2e;WCVc2`C$BSvtw1-yvM=ws>5rd9djXNkbXwM9$!{>#z<$T^S0B^e
zDcb&XU8rIC4`}^sh>V*Ry1bT+jXyCuv9r5r-t38N2NZBdx%D02Yr4O#;uA&U78pPP
zjQjeGe4ovlj91pGM~o63Fcx-Rt``UPOj&%!_1TXFE?Jj*tp&2{oirN0<0z7s_mnJx
z5=)jUyqBRCS=Cz`c|v=*SSwVansgoVwq~UXPRL4<ZO!;iBzM*ULKmHRSb004XQTxB
z_Np*fc1^HGh66_=Vx`N#p?*WtgbDjvtaYFFmjNLjGVvhOG8eNe?Wm|^@Mot%e$l?k
zZrJ}PcMErARMNdy00Dv<ha+~N2EOXk;0_EvRhdA7-fY4aG`fE{s$0xe=gh|>OR_ko
z(p;CJfq_Lk^0<q+ta0VT_A}}O5prPyr^UIgp==*ap<Igbc%S!}`;69}&;T(a+WzC5
z?Zz-WxDk7o(t|2tLrVywh>%!vf7x1VAMp5Rk%LmMC~)I}j7PT|KJ5%rRT48B*9f%`
z!$r>?ya%3Pe0VFc?(4jIvv}E}?)zp7L+nb#K%y{Wyt*ZY-IK3h4mnLbx{Hit(TDl}
zJzGuuI8eaJ9_hh)s_qT8>!@EmOM^EpS5rL*+w<P<IOh=?RYYldoE%6$T_nQyDSCoc
z2qvNvYCao-<83LRovxHpIPn$~191I6<?puRXjKgbbcpfyNFx`dg`C}#OxPc^vU_g+
zO{c7`tu4fRa4OW=O^h%#(50|>JwWfq6-ReREgJ>l1E+YLeDCW5HWChPwri=Z&2|e(
zmQfVlYvopljYo3++0Q3(=f(Gg67n#B#J&IPp0`VO_5P?ieS_$&Y>&k^W{VnWTH3{d
zK*7wf>dorQK@3XvguIU8H5hVu=)&02fPW)UF#B?7L1etQ0{9#=fXkTP5N-5h$ok~^
zkG-j^KvMa{W6HVqKYLK}D=9mxKO&M>bJnLCQNO|A%Cil2kf4f=v9%<Tfjgz49LDsv
zTiLd$r9<<xFYWxsFl_*6cbNv%e#Ez<*<CcH)xayy<kqXla%~+pgXT7+4j7?u@ytyb
z@y6f4tj)n?+BAI73veOye+F!_lvh_(2?!{%WoDA$Zi!>o!hw8?eCc|!Hmp>?`q2*s
zNI5)b9Xp@3b%)u$ifR(+%9q{oS_1)@7=0&ky`2w64oM#&R1fCba#F)&%q2NTl1QAk
ztfxbyk=X8(OZ_Xn2DP|s1(BZx&#(W{0x1!$M=_KBWpZn?u5%_%#Y&<3Vw0D>Vi=iC
zXz-^F)`7_%s%bUkY%+EBS0@Vg!9<UHtnN8zR@JN){!Oo~E?vdG5B^Y7RaNuYK&<E^
zVtFz)HdaicriS9IwnYEMiP%(ki^8_;N3iFq*Naqxcb3vUeV!N9)fLU5zWTZh*Rju;
ze|{mJbt`+G7t`s9lf+Q*d?_d})Qq^BlydE%<c8Df9miOORo%&t>LG@`A}V>p5%&9v
zWRp?CcK7aAf1A|b=cV`*8p6t=xG>AB{BFzIo>hBam(Yff*uwh!REy!C0WnAWT9f`(
zY;cI&oepZbrhu-lUxvl2xoSUIPU%}=uNgw<T+)NTF-TibfMcJfQ_>`atFs_1wALXM
zSO|JoC-ew*?$-s<72QdHbOe3b>T^opvd8POZo(}I*Z&KC#ISQWs>HV12c<#=dWQr)
zG98J-y0zH0<Sj*PN;^MW1~u+9f~a=Ud+&S+J>*f-jKx}tp|1CSo`aoNJKN{ITyK=H
zN$OHIhm2NP6%XxfoV5hM@wzGH<^W!&r}J<TP_5LJFh#|mbp_T;{RW|O3h%MO4B5;o
ze9^X1O2v_uolpkjx=VnTKn)IxFQI}iE;wrO$rfjIV>R?x_Cnz&tuVcy(<w&CUNq{-
z7I$lT#yRMiC)OGL-VBOVeQ~S-ZE&VSbsr)Tvm6E7&vCZwNc=yZhXZ<6Uy*a28f5e5
zV2AlSPKV92KFkxp>$5axbrg&*)0*$ay9apZFMv8INsWZ!Rgi`h_hZ}Et=Wguq}KgJ
zzfg$>CAbXBLV%uYv#MbIdN=Fm>Aa@_#5r!LRaB)yemU{<XBwz%oWgG=Kowx^+SdAJ
z4m%Fpj6=$VFRv?#jFcbAP0>`YuvB+!K@Yz>LZw~DyHUv23%EJ3U@{#m)YfnOZ{TM5
zR+5){Xm~qE;>dX@LVlb*K&YdI$kct!71zgwnA7R)$7`8VN=^5_S-5V*uvj+7J*jj@
zG<zy(j?)=i8cU&2oo!>!yV=*y8pD}qH_ka4z-p7YPwZYf<H3<C1ZCztv@bc_UTzmm
z`9`Kd891JhI7)Td8x<=dBadu%L!3;cMepv#xHS}5Zs1#W)-w5bbF+j2U_Zg3aUUj|
z10_99yymC?LZr!VuvV(yvh~4X?4Pkw-9fLPE8J(Za&P_nJ_8<sNf-03!^>()6lucC
z$}@-x8B&?Cx;Za|+p|?z#;sUSqx<^Q`#L%M7{dC(%9=+9;4*k?nQax^JXW$MLIusH
z5`W_F>-5@eSCznt0@<96_P?lvJ!S%%1~qym!LeQEuo7&wGgZ~>Z&PZBCwxp5V-*L~
z7cCZjiKKq@4xC33@-U8Nd|x=}20_vEdb8<l7^HwasyEK~Z^i^1*0vSqGx1(W&B*V3
zLW@DU0PKq1CW?1K&d5#feSrdJ7Pl8?n|pO|#IFMVf&4qJaXgwGx6&aL(ep2w1m~24
zKkczJ0*bwaE-`}rgDx+<d^kJ%QQKOl<>1l2BfU+XQ}ZB~>o}%oza-2$N#a;{n(QwS
znA){i=`#H~rxnX(MlE1G4V0Q#$cQePkehBxR`b}<<P+win2x5bN(eX6CHQJbW4K%V
zoQ7w^Nd%o&XY$C4)bbVNCCp$bc5re4Sh?Z3zXdUL|Fh|Qh^p^h%`R0zxo1lo$~ZWq
zrxq}jIbx-rH9Y4H|EmRX2`q(DpoVdgRhOz;v+}QT*Q#$b*KQB^&BE&TXuj5-%yIb+
zj$9eG^(ceVsU=Xn<Nh|!G@-xPS-q*`o@3?t9rRJnoP&WcAUX=3mLK4cqNdvRB6!;B
zp&k{sLEbw%=JgZ5(*J(VmyNVnH%Do9jPq-0r$b}QIYR;vXqII7#}UUW3ZAk1mYNsl
z?Oygxn<=Ze5*k{N_$~eDJt2~@EThnxX|9XffwD&W^19Wi_g$;M9NR!$Le%Xu6a1s_
zwaS@h0E^h8Qt_3mV6>7R#g4^=faYK$^!wQFeWzewZL71{Cf!}Xn>n}f!6=~?<Z9Wu
zKEHDgur>N%`Dpp3aWrowG>j#=D?Zq}f4RCD-oi}-FY`hH3kOfs%UlJ1ld$+LlNn_$
z3GaS^wvT&0i9=P^DWMjwBld=8RQyno&)GK3Ef=*w5l;_yJ?ZPx18mjB34WlSJNWt%
z%TFZ+EWDH{_Ctiin-Ck>pXWyji}Q}i`swze@f=ohMMqb|TM0c=vrNHYxZ8lxk|t*H
z0*>SmY+7-=kgG09kl^MVaU(IQfZHisdKt5mbcs^%&y#fg85`UQA6|wZcQYHPe-&<9
zxwp%b`W`Eg`bxI*U5_4Y0}y1C*3pbZB~`N=^U&9b3B&<E*EMpOznZntme2MP3F?n7
z_xYG)$?%CjV##(`Hu{MrYLk`VCq(|Y{$}`Hj*oBHaF?GFz>FLk56UlDyw(%CRyxk3
zbE}u*UTHB9&bX%k^Vvj+Gec3H=FWai%1JKFVyTx;G05}n)wMXV|5pe}1uz>a2fVwV
zY<=8LC0(pMx9F%;@uW6?L#Dlj`&dlMP{L`*Kj}9WSy$YL$G^0pyv9W11gd!n(uEt=
zrLv4PSNz;YrEoxuHQO$y<VPJQKn+|8&r=MeFJu)hjhMQSy8}CiA;~(tV*5C7WROt<
zj}IHMEsQ+=r=6?c`;rEbJ0lL%nLBZqOQ1Wnj~ARX3IZz|vw;158JfJ<c88&?O*30S
zqkCECCD75@hLa#D<f=|RK<%xsW{n_Y4&9bs+ayUY(8gfs>7Y0)&-3eIDvy*;Q$YH1
zm$dgqMGZUU&bhkDg<0QVjO4E_@CoJbElCn5jo)s_Z$hiEZr(;Qn!k1n25crTSr&N8
zz_kU}BN&wuxo;BZ%RhaMu|%kI=YDzei@Zw`-_P}HHFIT{>nZp<-y@%;y{Vt2Q-O9^
zU`^;zj^}D5A85zfxuv3TAGY){Q`poDhJ^U9TpmHOH+{OyZ-szT2dsnxx5#uQ24&U~
zyl9BL8D#1{9H4e1%53_VMBV~MkI=ES77dCm$v6i%jBlnzR&bpqje?ycOr3I;&C#hh
zUKTBYmfR3?YD`?Up2I<g3TD9w%TZ=J<5VLyP%68s!5q0)&NB&uXZdVi4mSZ>e@9ye
zo|Aj!f#heOx~%^0&$v=HZhwo;!R%YfX&Jf>R#QXlZ*=1+EpFBza|s2&+&A6hA_bfN
z)JD_E-+LGXWD~|sfO4Wg33?^!w&(JM!08;LiR2M3+9Dssu;`V6zYnI~0HlnkZET|t
z%p_@|_Oziz@1@OhlR(6!u7QC!=5QI7%5$P2*iB|TU?jgY{KAET6BG6#BBlC$QqTF6
z^<G@L-#j4ml?p8N&1_-UK-g(I+#ze<j1$#{<jfN=`fR+>SY~bYE<y%<q9!)ed1O8h
zXClX*<zzTQnm3?MNt6gWaDc{K{Z`IR&*Y?7TUjlVnLg=Boa#9}mcz5;;1W<oB^-hC
zO@S}2fzjy|iFE*E#xmQdHo>Ek5ik~--Yr3B?b$hAD;3rbip`Y-ab8bF+p+5^V=WZ>
z%mxOztt*dB4bojcWsOcF$uJ2}Ou^4gzfRbmo?MN8$>J-vDadaJGM<j|zJqeVw?59{
zalYRrfE<Mxir#~O&Ji6?z;)K6-$W45;%Bdy6(zG|%r|9D{}NLr`&~&dNnUl|&MCXx
zrwpd9-dEpjV;@~Y4=FH{^CgkT0Qw`ik!I2y=VaR~z7KWTRrjA=^iIU))+lrVT58DJ
zm_L(Vf@Ys62#B7Ae+^9j%@vmSqC%)De~2^RldtZLa_+*fGm_oA5;cmS2K_w&!a>Yu
zdnJ6mzeNg7cfW&*nL?Q3ImN_NYn!hlR%_ooMwKxXBptEK$wp8rC{sacejVl;+I<uH
zp~UcA-DQps@=9WIu*ZI3S>4k#>C#?P0)t%BSr&<!VOGnMaGXaTW83+qmRRI`k(|2A
zX1=K_m3V^Ck9l;k=eXiZAKGx{>}Yb=DwXy=e$)6^PYyavKp}b>!`x`4!pzI4PPc|Z
zXkh$bBJQy`@9YZ8l=hmfvN;%*LA$N=S>*^eHAdJyi<JJY*VWVD8Y4FTpbUGm2O4gp
zc`2#G>%rbDOAD8}*#v0#IK3LO!VfqF#qNY@q}T2jaL*kTT#u8xbqdzfAIlMt`cEHM
zA|Av_Y%c&KEBtHd9SJAa+vq}l%g$HCdwI+<C(uSs-|@t6t^eqn*wV&at=|xTynFzn
zTh!Pg-kG&6UudL9lhgDC;*0A9_LwT!mGTN--MQlqNbE9<*puF-lF=6`Ny1>QJS^~0
zS=||yI~DjpY<+h))&KiHLMRj=WF^^DX10Wom9jZTR#x_QY{^Pi*?V)cXO1m<h3q|#
zdCYU1@q2mqet*9I{I1KTKf11ZzFyDg>weyk$Njh;_kMW$MZp29Zp;Irl7NfvG)D?w
zJ7#kgX{HQq%RA@*zsV_Gzn7-9rk%Is!by2=GfL!*3Kx}+mdL(0wdgJB_-rw7Yaoe_
zcR4X5H1rk?)uP^|`$~EJB3BFMP=o{mMe46yPjFiSM(kuyBqZQ(>2GOHj^-l7T#Bgs
zom*0a;Jqj0^YCG5JpC6RG*-IbpvobuI*tu1VfE*L@4{hA^QBSyNPIvQ`*APm9!bMD
zp5-x?{tf<d?-Xe#0MzYZBlz=9JlNcE$+%wzczz-h<i>kafOw*v!b55(r9WL&GhyD;
z`gI=3!_Lr;-k?QsimQ61ArrRkJ#{lT)UZ5$bXvp7-Qor!8P?=m!mUXLnHzCnKI6M!
z1N9`UX@fe((NNogsq~F0D=$N^6FStky*%C;Yzh43KCc1!w)4^HRpgnTaWJ~k>Zrae
ztvH0ae&ZU5JFFMQ`Bh<6zdgZ)hTSrJu`qb3>)@9(odvBJ62vS4wG*a5jNF@mF6Eb5
zGXVK3MgFXiR8)}q^t;ROrZAu2o!lLAT&deF_Gdy<MM~iAunUa9A3{$$e>N`$z;GhM
zrwd4Pt-*TOul0}L2##U%&gD9}Q|T>dD{ynh1mm$A^oL*S0tOp*0Qe)}3vlV@K6?6!
zk>uVAU<oqq^(#1wF62adw<wor@Izx(SI;LI0p@_x3$HKL6Q%DRM_W?dak=M?3blxH
z;1xfv<N~n3Wa`_6t+m^ZqM;tU@xq;aL{iUEKcq~Jy$b|ClX`BYWUvmg6<Ix;erX6^
ztoM422V%D$!$>F?A+Y$J+h7VF3h=}$Ot_EG_~w^tJ8yU&`^Ah&C+XEX3L@=}&hg!;
zC*LENc0f@4(97j{Qfc1CI*Jc5c4pyGqf(YSu2h<`nf!XHC&}ylsr%wZ7OR(QtikTL
z$5Iu#m1eIz&ZZmsWHh35Dfe{0Jbv)t7jfw7FK-XvJxO{K3Twt*s?1w_={mDgpx##>
zlp{Mk!j54DgRyZF_MlH{)G`{gcGW`_(6#e9kCp1<*Ur<WL1-xB7B-)NpX!Jvq+{9L
zpY)}c<1us<KF|wnZmY}Pb%;faIpbZTyVj>TOkwGwEOasU&ZzzHJjFRgD7(_$4|4iH
zQL%zfU;V!vMI%iYCNtOKZ!rQbxproK|2bc03MgXg?lTPE#Wr9D*B{j@*Fd+yggICt
z>>saIAVI_KS2Q2YlC`%Y$y1`glZo)wmxn@WyAQngq%Uo~O{0aT+LG%RC<S_&X)Zy4
zeZTEK&<A=#!*7hr7{2@Y=MA8Lmi&lUSZ9PV_-QJ!iiDGy*1>Qlel{NkmG|Pp#f{^x
zSQt#5y+s=xEbYtjfRVkNf-BaF$Q-Zejsiy4OsEV<p(+HxQLquY_80%GtqSYb^W~U?
zlkzz6S_gXxTw;Fl`#}C72P|&iqY67cfCVJqu+Vds{ZPR2OLB&v<vY=0CkhKshTdKR
zysI*=Ga`1+CxA2%2cJ%|?eI%mTwzI6#8vY-ZuETK&7U4o!?XEnP5xiB4eV>#-sUnQ
zeGK#N7~|}KlzuC11XCk?PEmB_?q~$<LyYcwCp4P~a}N3}3>$mC<?C|;$;7VreF5sK
z-eIem`Ew)5;PEo4%fQR@_2ry^@uz2ESU|xhy!6oMe(h#T70siv#Ne&?yY2NV*}_<l
z5y^|1Yf$0>@<&*ph*=9h1w0%b#r0RbnK2qC&lD23NcR@E*|tBW(D|SZkC&JZ?}X1C
z`7(2OZoBvV+#M4T3AG(`?nWjzsN5`B*>pxMYN!Lq>co|RbCutu>#Xp}%PYzUIoS3W
z_qQ=RKi|I-KL?-^=n`;#lW-XMd9J_hkj?JHy2;&W>sTqvfEvk>zqKK9@AB%F#Tt39
z;=8p<DGYWcoRJSO`r%VwR{SINZID6b2JQ9zaGasnNU<5%^U#u6JN{3I6je514ybHn
z=QO*5eLXhf&#0N4ttz5f4F-hfH>jM<*2=}_pOnwo8y{Nw^5l#*ov$3Qq~@2l0?w8H
zoW}ESidU3^^Esa|;npv)26UeWxQe#}6fKN@!uz><{g4xx{)sm_(9pt*On?NVTJ*ZI
zM`R0~oc`>_+MvF|0iI2Q(vf+-{9)EZO{hZFnB2m8KZ8$}L+~XfwR%M4l#n^OKG4!M
zq!d3VkY`47!!(uEw&^yFbZH&Btxo-Sj&vg1XLs87x``%qcmxmgVNyVX^Ecp)VT*#J
zG1K<Y8A-_*u*A!lsvNr^p=n>(ZYgAO`>2yVa{#vvTRlI4v6_KzgieEeegd`%u=w=6
z#Z_s?#g+~=@%_{3UPd1~&>F)@V1!KW%}a`UA91U8oxx3`V10EYPf%Al64S12^Lj$a
z#y)w$y|LrQn_7&sI!kV&>28W1K?|cZwQskzk=%M_JH<P_4`hX3&uES>>UQF)g*NDP
zyWwz^7y{5!{pmZ?nTlgHIB~tA71B2&1A?4uq@ltc1Zx9$n%(Cfqp~+cSZfVq&$g_%
z(p$e$&l4H=9(U6?3IkbMFY4{8m^TImF>I^?obQ4FQhY5i_j$#l9@vvQGZtnj?y@=9
z$=%L5{u1At0T=bFyV^wAWxZC?d8RwxVL!<hI{s<~eS|;oqx|<b%#obVX!FtbwT*Sl
z4PUMaP><+qiuv*T7IU@6*S>Kk496p7b3hPE`mT62U_d?w49j`M!w&04zi?;2%8V+F
z$F{>bBd3jB?Bk%KrSRX$(5vjy=qDca6pK_#{^LsQ3&BcnhsAarPuxPWT@jQFQa=a4
zkNo#BK+A?G8B(qb$Z$zRaH6hkKCK0_aHa-s+69?{%|7l#2hk9t+1kR#>g=nBgiBxi
zET8|5QONcBVIx+UeA?Xl)xEn$B6b`n|GgTRkrf=PN<4fQ++Kj6+<^I{QUfh>RNvjG
zBt}JFW@Q;y4Fg%BC3xwwM})DPQSff2q~%Bz4wQTD_E7~6m}Xf$<iUd47ne~ztMoIg
z`APDi{jB-UEhgzMf>vB8$!YlbLJT;JlwSK9Td0L%o<v?RItW;FUqbG|HDPZiv7<VQ
zyiy4mnQ%pHBxjDzESOBt=A{$j@2N{|hRiSAhm}%dh%>)f>BgX_azB9^{O!}(VZG&)
z^?X`2>3@K0($K~9c?Glq)4-U6&bRBInQ>@7&~E{F2=eNHyNJ4ZEv*{2DrsP?ZQf-n
zL1pFASi}f;Zg!S#&m(&u=5@20@i~@m-3nm=1LWtyH_17T-6kDJDqXZ`o~%8(8+gFn
zhQqYhJ?iVAv&7b3KuetFtj5$jx<NX-V80z>O)5Z5DE<Kmz!yz@1;FT;&-p8f>nsj7
zR`!2bAUA+dEXeDVe3x`PTLlz9a=ij{9rM%phmVhURhkyDFES~Un&HxiUL${231|#I
zil3*A-QUu3(sLTnTVWM@UKM)9Pe^$6?#=KT=nyCKg}|?COEUj4;UZo(MMiL9ZR-`N
zkr`TusIRT1I`#{RECx^{;GI)Q)YiZhj>F0Nde_o*dqngeDcLg*P>`49NSrkLd9lOU
zd;e<`9k*=eu{!`$Z|N5^H2dBzkS5MK9rKr7<NuM_CK9nPf5p9a()p9QjXzjN2P2Kl
z+(loDCNANt-I3CtmhT)DP|hyWNabj$ql^Ni`GzX5gm#@4+@{m7l^3V_uza*5P+GBR
z-Mr!bO`1tvY%9&BA`oN0p!jqcAS4L!s;x$p2rgHs_zF}Ba(3T#kTMtEUSmmbo*O0Y
zqqF6Ra@(%4nV=?qyvYG~E`*Mo2ImR%<#JDG1O6@GRYrgY<evqdN+&`BTaTcBbdscw
zyC`qEQs2pO98a66Zdz3N@CWS8)z;gzmX1m?aQu0eT3RmLVml*i?1&mz=;ODdJX;4N
zcM7poNb-kdKxqbvkJ}i07_8B3-r4qQplR8td6YoVBIqrlcJ(CfS%jKo_i41q;vZ+!
zCGoH(EtyxUq8iiDdT6ZSBd?ZfH~R3F)XN*eHFD7?R*Vx`{wf#r3DbMkQzLy~glz`Q
zu8#M)LGpJ*8%iZ_2~wUyRs*B-m=0kIlzX`8m%!)b_$Tr9!VVPhMvVnPyQZHRn37$M
zr*8QQ$FCBb@v(zgfcrUgp<Os8nkYdYrw7d;HhGj5e5Y_LU4Hq|GuL9L_JVfz3uQ=^
zZ))w0!xl;ZU!&{lF^r{AnAu^Og`)wdrl7*QD=+6Kk2B7Rcm8a`GGfOSFkLLGOw*Y&
zYBka)ET#^zPF~U!$b`1TKi|IaAv0%D{Qd;Bm%RWxc@N*e6u0v;g|)~!tC(b<w0|7c
z1dWeiTj5tg{n>^KE31xK8W_d*^R~jyee87Vo~j$?N1qd70TEH8I^I$?Rr>ZTKrq0L
zN4;!59JP`Ub63>cu}+|tupoUqcQq$)8TR~ktwm3Ma>nF1o)wF%TPsG%gy4a!Rm=?h
zEtt^9Y;UJ*WMK?)5BnPx2ko6$OKD_&V;C=VxbqOROS6i+g<`cgMyIWF`nc_{AU~he
z?33HR?@!?L%tQ-WnUd3*UMb~2?<r#frmkneMhGtZM%uNx-jceiOCi<|=pBB@eq7@|
zZu~Ypr>lOsbnPqkN2+K6Q5~Z5Yr6kzQ`&9!w^wc21s!vY+(SHKJb(@I#;;{28k)&^
zL$7OgpG{%;c0%mg;JC;6<0zzNge>M-@l$P}C958w($Lr}ey=!SPW%}mi9;GW-fl27
zQv`n4m92<Ei$ws7$sWUW>E!$B4wHsI^TC_eLO!>&GXIWnT_C-EH3y6U)LsC_EG@OQ
zK7HUlo$$o{HdB7P33kU0tGeCP!}JuVfd5=MKz#$K={BPk=<V?(y|E~Wh~-Z+c>dDj
z2DTWxw3ynar=8$|t*@WCptTH~p%K=Tm&X@k#zT^@<lIqRZEXSPd<ngyddf<;;nvB<
z2O*@ueqLuKvhLUn3o$)`1d*^5Rpa2{3AEkrd_q6rhlOqxdzb8{`8Zw}HLH7I)h-%q
zb<&aA>E0Pyg~QJa)6elmM<@vAUzz9<;S)%Un1r{pN<Z0JaR2HJR@u6lYg*j->Ru3K
zEeyawz9+YRyU8}fX^Bgr$QcvE_A(@MdI9OV?`%smAvlSNRtMVPyb|b=dL@mB2XEh?
z+Om7!i4nn%lxS{gZd+TrE@j=Y-CH8jd%8~NbDAhCvR)};btJ9<{vOp?cbIi^bh8b}
zPWDV%yqmy}kl6V~mx1%q!;i_}4q|pYA3&C|RZq)a%^J9ipBBUfdB3(7iLe+t4UvhV
z(phnS#|NA3S(U4sB*I`WpddE@W!Y;|i(NJ$BgIbwocsHGRVIog^OPEedowrUrLREV
zjBM^1V5fOCVD72Xfz<n6qf~oFWz5;xSt1tBkA+uW7y2N<<MVYQMa&St_v3a&a8-=(
zGt8Q*cg`~Zixks^taX0yaU`gw_fO7I5@Ol_3+N*g-JBipk=Uob52|6sg&Dh-0_2^u
z-+0Qt;XkpS=VebaFy{|WVfs_E7O7EIMNYlB7F#?0o@~nd{)4Lupn0C00T{hC=|vFs
zSn%P*6BC$o=J_#X)?un{#q&v4O8UlC>rw_r9a9;r2(a~Wp=+HdBNy?SQkVy>qp};<
z?H@}sb@p?(Uv64Yojd$;aquMfXMl?=jifar5$rT%f2iv&KEVd;Ckj+=9giNLyTh2y
zeuH;^7jHbTwi5p?Ify<4n3!$Fh3Vgl5tXm9l<;zvQ@=bF;6N0h-U(^RbJRBD`gGnm
z4hG#iJKvw9@jXdhYN6KI)^s{oc6*=7B^8qz`hA8BgJ{V~-N;3wLhmDP-Gb3uR$&px
zJg1Z}{^IX3Ud0RDebrG1{SrKbui;FRs1XU+;J(QG$Ij+#W_1V~%`D)Iz4hr~22=Aq
zymJb<<Xuk)etFN=wAu|eH3RV)vK5YfiOrPoa`wvf+vJ>H;ll>pAmfm}Tn<*O%LV$f
zDT<U$&|#!d8JTAv-&XhHPA468#j|h`@iBFE-wtMqDoJ`iCHeHex;G$u(KdGOV`FdG
zQFZjbVgW?=?SQ-$Lv@Cc3aM{NauqoD-@^<m32hdG)=)x+CHr(IW{CAnKXL8Ztv5b<
z0%sZ6JuoNqH>2L>h_u(G<4}sw1~6-&tOaOLW;1twEr*HO(0~`lqYp#*eX|FrKnNfe
zWsIn7rMGbNozq_wGkE`jeRc^dZzbEy{qz-Xs)%C-rbndp_~O&oQ=e*&I;{G)C)q6k
zTgkQI-iiWbJjvjT=B1xzcLZ;9i3Zk{cfwvt4va%8O}i2f_DIi2q(!0Y_a+2n4yBSz
zW1sqwNi{_l6~6yv;;VO5ylYf+tN`8OVzQAHC3-p2wRf#lZhD$KDrC{0aIm<z$mgqD
zN`FIrT3|$i^}xZ-NZfr-!$)16+<0|jvX<U*<Y3{$G|`a{2C)@v0AFbKfHd9x&Fg;K
z`e<+WAZ0Y)^avJ|$#}!J33=5lZ>@B`J55gR=IODz#MV1AIT<U+S0Q?}G2UHRU$d&c
z^avCw_~ePni#G!TU?p?YH;;F9=<aXt?#9{XW-yksi!#s3Ov@BE{|*-YI#syy^~oPC
zY1P6da;CQ9tlzIONB3onzlPu2I)QJ5ng4dqli;j>R7800Zq@HWod5g<B8P}$@=g6F
zzosFr=y@PT)lL#bO4*WVEJrBgQmOXGmG`R%QRObq<S`Ati90%JM6eEACE<lv{PJ$O
z8Qw(}AxiH(B>2cdtqDOV`n$veTzvXqak3M|X*afPb>)cReKNz7Bxmm?JW#T6&z-yz
zuYvYXP^?jmrl&4uRn1*D-JpNxfNMbf!(9)VnNP%4kdap<F;OZ%Jr8R)*}ZZwA9tGV
zed36E15i!MeqX6S<x#F#vl+I{uyC@Q@^6%KiiUoT0>6s9C;Ix^YLYI6o6PDjGC>Z5
ziO-y-)a2AmQX0FkRE-o#A9tJC-!?}RUj>H%aI4?6`k7l<$H?!U&BU7eD~c5!XiDt2
zszy+)Sn@irFrsn@^$chMjU8b-+Tn@*J`{!hdUl@+jHudR<H)Mdbn4M#k^-b62QM@K
zxGj2Z(Pqb_3aAL&%;1rni91iOG|dxfVZ!RAvEFPsVK{7nEwy6Kf}izHtYGQ^N$+^U
zP^z*@5)Y>&{HU|>gjjLB9sV>J<lQ|0avA`dhhY<B(x@X_fwO{Oe0?^6ZOddKkGtE)
zC#gUGWI=R)!N1P9<A+>cx8QD!SJWiAQEh+fj#2==!cAO`2S)GCKaK@Fsl2%SN%NTR
zem^Bjig@$=p4JcbPANdLv*%Jd(%Z^^p8rS3T>Ac%=AYP3f0A?QZj96(jVY9Zh63i;
zaNGlLUPK?jQHYZTU5T#CTMJ@QL&Xg1Yu_BqeJG|w>!mP-76s>HZ!uLC1O3-EBCyAV
zs>si~`=euQqH^hXIly5O(*-=RFHp{t-^S6<dD=GZPa@6BqL0&Dh8v}A-(g?D(q>C1
zr7ukxT5B37wl^efjIl}sulKXd=DkF%hSQ!&<si0*wiNL8Sp(wfN&It)*n=f4(^|e1
zF~;N`tt4)G8s|*3PMNAblEHfv5IALI_luyjgb91udx!$=+tQ_9bjCl5&0`(UKb!lB
z6%?L-197i`&l?of5r8Vg8gYZ^vaPnk$N8adY|)#{bD!tb{8}*U!#`ma41`;U$=iGJ
zNg`j}f7f1gGGUHl6-%&<9;fDb)dc8Xr+WAMY0&g|xHeOZ_L(1RUxr2OQ#?=AP4(*Z
zF)@pLy?y21MmDS!!yHO<>^#EDlLqFusY>PWfQ5##;K*C=0@dWJs_XJcX<?ePG8Vrj
zXRK#waA9&#K7fP1?+;_bw=RBC^}X+|n~pm!YglVe@NP}9g>Qg$FVM5utu8kvdGGZV
z$wXUU;BrF&qIp%107{BN-^R4$HQcSwX_bU)Kjd+_b;dA^u~L?jxowMpj~)V6cULUG
znI<<B@OUYTN|s?J4C-ZBU30IYq+G2hu!!Vidg;S<$Gg(;@i@d^WCrlF?)-AjM*ANH
zGqs#u`v*$)GI$tT(prReq|-ujDS~hG<q6cMkVavXhWmvkHrD!y&R<6K7Yfuz!Ytk#
z{3-2YQnA`d;iQpePy5(Waf`2EdEgr_n)OMlBwYgMgSEF_pr4Zi#~=5nUZLfhLb5a4
z`4fU-*Akkw7eI)99lq{rLE}EaXyp2c=t<+#@9>vum-intX23VHmmI-Yb2PDG{+#<=
z<!wMo&;KUbNIC2`nej}7{m0*)m`9_s-Gr$1t}mh#n@ckW%PA+LuLAI2nb=VTIFHu5
zYz<pnD-4HGK>qK4W>c6k3vnb-x+g9YCeG&cLn+O&2dpu~Wns+M<(!sAbll-otBBEU
z1-@3^>v3V=(}_&fIy+Fau3Kxjc*}8$FpgNuScUTD8is#`YJ;0|Sshd<MHMmrgkXo(
z!G{g<eLqp~0cl>QJCSZx<`;h5$P|b{0f=2pxg2TR8mLl-EjRwDpNOuptE`U)*TRqC
zpPwyucyR7QVi#D+>Vqga&JA2~NYjNR()qVOyU?qi`tF=Kd$Xmwtm?3`w!PNPzbF-t
zQ0FH80_<Gd(VaE};|xV5as&hUZb{CQTh+BUSGY?RvB>F*mV-qfupdei=>PRL>Fha=
z#mX9ss@x%O2MLxudL0_pkeV!g1(|_{2%V-L-OV02E*WEDbo;G|{Rt@S?C~NcrvdzS
z6mV$5*)b}tNCqXGdi|1!L&&*9cYc^yrGqJQXyT63Jqx+HY*^Arrj#Et3Ah?h)|%b>
zZta%Q*_S}qX|gP?m=01Bw9EDNI=pf>W@9`5G{TQ9o5y_?Pcl5DfT_6xnpkOqn->mZ
z;y5XxEE?7XOzDb?yJ17<5?)%KuBB6-6XA)k#dDd=!xbzj7F-HuTnY{xTn-{QUsqw}
z(!s@u*<SLBcmKgcGYtmdk|pjRuK9DGn+w~`Usgra3%^d#xm>YL<&DCAy9!6$>7&Sx
z+{qj3ouTkhYs-UMwReQ(Q*mp{?C77_4p#VM+k|ZW>zs#DmRc{n`7t*>dr_awM?yY#
zifszp^Ax`$i*?aSgq|ITyBk>R=B%&b@ON}>jHLM^cR=0_SLc5+@2t9#DR$44i=9m_
zO-emG;_!RCK`~6Q??Nth6p%FMfT`{8Md%?@p@>wGW!Nu~4vhZJoVGwp_unV)iBtBm
z--FS9hU+%oCZyPV(|1J5&k%UBAQ+!OcKztgfp~Y1K2NxaKKh=KAlVX5PZIj8ob%h$
zL~@?}i_5iGe(>pW?}gu9oTB!1S6OMse9cZ9d#1Pd%!EM(pJes^_whQby2K;4!*M{?
zt@HKbbF=Duc`n^SopnVWo7FDjd`_*xqyp7c?GE~v%GX+fq3;4d69Cp=0!*4Sqi<33
zTspQ;yDk9C2^b2baSqo?qbVS<Kak<`K~-Kk_k?Qpu*=lsoDD3sBgB;$`C8L(_@DGs
z0?nEOx|X#B<no}_4Vy-724!p!1f#!Eld8>fjFWJ+!L6OZ=)Ej^YBOCLUW$q}{@7l6
z%$qj%QLPmZy{J}!SO5D`tmXyxWd-MGGy0wH?1-C$tQ9$0vT@vFf|##s=tn~WJn|%l
z{_l6e!G<IM!tz!<0?qObUZ&kmm@n5#&)!@{CG5kWfHt0|-R`U(^gd$A_itf%kK@!C
z!$#w*D4WFaspFxAEO@f{_7CS$g{*-k+vFeF>yU^K&B3d1muIv27eRgreIFzwFozd_
z_$)~${j!Aq=**y8TL_(-jl4A|cFOd<9n|D%LkxPtcSindy1X1)(~JUqyj&E`8;2J}
z!;M2uy2`bjqx(S=MXET}0=9R#Bq#Up-_2_luV19QWx5*sJ$boKkPhUKi@5c{`qIMd
z<IR=%>wxypk3KU_w?j_L<7#6>WKK|8&r72prBDMn1qvlsSFJDFVyccz1&WBeUIF^M
zTB_JlZ*M}mN$F^Au|W+a`N8AFiE#h$YLqm3Ld5YU;IO{ernkKPh?%6-RbyJo<%aCD
zS0V9j<kWKAOFsfhFxz`~B|iK;cMtF0Apo%t?Iu8}l<gIgtk`!Ha)bEoPXJ<_sR?M6
z`IwCdF>%bp3~fu_qT%6CPZ8uyNKWECS4+Y+P5(TI;5Dd=D!KLS32n8(7|1101d~^|
zyQ7&;`~K(qKY}@@CNv<qRdqUnN7<qOKIp3~8@w+q2Owwbw-`d=3hH^g5pU}xRi+st
zHbcO=?5D_r>%^`cx%fTDC}%2?$$kc{BOR4GOwM?bey((5$Vcr7FyqqcOB;YY$uIT{
z>!OnM-2l2N-A+K@9vC>5O*|BV{K!^&yru=j9Dy4*rev$xW$l>#K23?sSzWLPlL|V2
z4tdfgU-5tMe)fgTqq5|2xxOV53!&uU@a9P|?~hcRv(CR5hVgAzMNp^1nSA2N?c}}N
zb{YlcfwA4>Z@{F=Z?1}x>XI-gf{dr#SGy_#1tVW5%;#>)Aw;n2n>+03uH&7a%YKy%
z>_c(?gaLB9S4&-CR-LAkt>yaSExwA=^xliv=|<>y%8m|S#uS5WTVBOq(f__Dg<H6B
zV|S+9et{y^y6YinHmAco9X}SW-j<xroOkdb&96IYl2BuS6JAX*AL%5N0Ij&l92)-X
z_`L9W4!S{{+u1Yv$gv8Q38b}MfY1uV($eqlmPBOKsg$){;*e&msOYlQY#42JVihUy
z2*1_L`q9p?gG+E|eW_Im>gtu?|ITI#3y#r)l9%al9g>eO{c2*VWffm`G(E#Ph91nn
zDr~pa&TQH(Db;Q{0RJRglKUYR$!O*d4)IEVJO!E&BZ}UU9<c{kgg_LMkCb&TNWN-V
zZVf;I6VoO@bos{(F46I-9(RDB8CSyO#Qaoo=iFiYOStEo`WQ+~_5<Q-&&k*Ght<BP
zfmwJ{z|@HA{0sQWjlfA7KQCYUQQ?4yY$ClY5_T1CR~Y-4u{MS(tsu>9N)KwAhoSW=
zBtRF|Lm(}OIr70S_3lb;#c!8BRQd9};{wD6X#UdfP|R8aj#N8JPMkK)Im54Gv7<|H
zgF)xl@Byfv4TC7`DPE49AnX2coloHq*CgWHn>O}Ref+Fjss=UbX&e#dEY5XC;eau2
z&zzdN!Pq|7_F=Vo5i#5>@1zdnJa?@}re?a-7hp|P{b|XuP0nGBzP|S>P{4ea-S@x4
z>4`=0WZN&&@3sbK;M;g&@FPrp$y;*=K>vK4xD?jW0UVdG>F+_(4Xa!<I2^n)lpdjJ
z9#wRRSXu(mt6V8RFnSt{2E}wPpG}KW8HSlX;QwMs8|UGn<KZ;}w{Sagv_g1NXZZrH
z02vVyjd3!?A*C0GR`<?6#~i4W9cD(rZpQr{*-LA;I(+!gCCnT+MO+jFVQTvP`H}NG
zw(<8B4O-2iIwGn&45=hiyFAMNBS0<ShzSTjon@-X*n~#s?*5m3BlQOBO9${m;D+ge
z$t|(nZisdPNR%76VrF|EJ(Vh8->A|T#5f)9Y7=*|vSrI%&4f9rB~P;d_kR+73WD+(
z<p_kJ<ZWcB3(wy=q?+v{Z%6e(a)S&mx@kbD=!ye}4b5^)OzaNdlesMH{gcGfDrL;a
zM1H1~jw?8p`b<&4g}xsDqw`WgzYfFgoblMB`G8fz@JkJQsn|0>gWa&NRVMn+H6n9G
z^vlk*>7^A10>=12C|`(uNgj}g&2wLB&3e>y_bVmL15T5tCz6tqY9oD<Op0^vX!Z^0
zhshE<Oy^rnNGtKi06!F!S+wp^Cw=ZNe5LI&V!XUUBH$&$hs?*nI<V2^)NEOw{=WNB
z`qQJ%eqB$f!y9gW0NVYNz;+QeL|EwfO2T#4@?Olvw7jr3X!|30T+X!JumSD4g4efh
z@H!%Xos6t?)(h3S?@ISDjXY1vT2Jo!ZGQ)|&jTjkjX?U}2eqWLoY9a8m8c$46Wudx
z59eYe#5L3}vE<Vi`|u#h5dY`Qn*W{q6c%Gyx0J#hf|%)F(){!I*U(@M|Gkl2LUZr{
zD6XR^RXMyy!=-kVxx>$4_jwPv<ttXROnnL7Bd~OdFcSB$iB2?=nUO-XkAORSqVp$9
zfxB}li(L87pmpKE;o%{F`n77#VX4*cv1_wOkR0k@?7pLmHaY%Bp9Amv&cj!CS%3@I
zRejB3{CTug*BRvW#XX0=A2RTJ2*~FPR9trxp?n!->>>ywzs8s%^fx_)^NqeC#yM*h
z51<?bbwi%gmX!W+3Fe&s9n(aRuCRyru}qd`<hupx18?-tr}$#$&3+Xs)9yUYJAT%y
zrHEic{8Fq)@(*#H@3|ESkZ4AcO_pMn4JQno5}r9u7C(Lr!w6&UFCkn=F`hfJW$b^C
z20QU5vm~ka;t8ne&yv6&((xmf1uJW+?aA&PrH|C(b(A~w-N@5;<{4YcwXjNvO$0xv
zu55l`jS<Ok00%S$^GrGXRKD*bYVOq6-D$hs>J$C;K7Pxp@!97mKF{8!;bY#nEwsVK
zE`}HD9<U1hO?{aIkCkzh_39;VM<T=ho*?Mg8i^aCI%we^O~0+noo^_uMehSLF?2s5
zxf08;p8|)iLOqXHoz>MHtp_~sjxwTcf54ZHV?5>q&kyJw_a*sY^!I$zPIm(C?md@>
zI%oYNV@?_-S6KVX$*uZt2;F}OqzA*xTN{<2Ra57gb^iV#j#yd`ipR$m&m1JUF2{u%
z8lF4vjOX`rS<vixEqZy}LecQ*zs-1J`og+U!?GlDV_={;l?OX0Fw%0Zj=k?e<2Jsz
z_96Ho#^~n)V5IZi?<UTkvD3(R8}`8-IXYEt$Z$feRav}mL)<^n^g5u*$lUY&E?BCA
z$>G43)5WhvyuNVOU;Q*_3^kr!jy142TnT3~uEt`nE)*?^OCO(Qew$uKZH+7yO4y9A
z7p>PTVM_{8*Vbju79y6QSQ5g{DmQW!PF|{qNQp4A=W`ZBajIAOy06te3NT0x3cAiA
zE?^bV*N>w6nEnm2%z=-IWG<(;!E7EE;}6*D1@eoNPdv<|j(@#;z!bx#l2mrpr|w_1
z2h3BQTi`=0{+jFrpA-z`_r<d(0x5OOz5NO3E+;mO-a+?F5#qbiG?Xf$vNE6YNW+x?
zEc4FEkF6kWyQ;G{9XnZCW@;R$!&=+?2uY-L_WP9WZ~OxSeMkUJH7zeR3{_jiHJ};h
zvK88t%6Fb(&8qlpbJa{0#d>W;_%)f)<+OT#6il}QbsI=}1B7{-sj~0OvyAA{MYyA0
zvpZ;TUAp0#FgCBy3@?5Ws(o}!yoD>iKUDVnApT&r+~0b%sMtuItgDh9x3lY8_choA
ze%ii0&Jvl`?0mafaLx?ALBKwlYZqHJPwdE3w9i-bnc~B^&A{o-gvioIG^vW3=*p$)
zOx43`wWH)ZfOj{r8Oe}jYni!O@kjqaRLlS~0>+#?2Z)CGPI?gs!!P9`M!6X{#&Ks1
zZ#y8FBU09-7^&B;?pt+27M3aCsrk10?I>hxJIUX*L`mQp1d|g;v4>YX(<qj#a6#lx
z>KQPPJBMl-FuY=v3av@qqCtR7o9`}AXlNR{B<lQChDOys@JQ6o5Ogy0Y7Zi4jrN-(
z(?ZxzmCb~1NhICNrSiOI&w@jMRo*v|4NO)GRV!l{cH4ZS`-hpubatn#I(5$DRo7a0
z#q7AmV94JfokkfDw8Z8(MqK4dgrKJyfBQTdKGV^i5bjZ_*{+WK)?&Ij<mi7QdGvWu
z%ZDDJLc6m#H>a}*w0fp9CMA8J6@QBvXH!9rF=?}NSThU({013;wC3;lVQqv$x}D-{
zaf?O1;2!JE4)gym!H0M55G)P+j(YaVytH$F(Qa!srA&k}-swQ4?(LBaDe0!)b#t*}
zX+G0rukozaN6aMr@Zf-N4klg-$X?vnHh}KvEMFi3JxJ-4-LifZAiFkq=1$$bJJQvg
znAddndED)>lVe+Hy@@mH|IS??kYHdcJhihSEZ~iIlN=TOeEpWIv8T=}%>8z^!bL3O
zgH%SAF#Ai3%sc|~QKs~lI*x^J^b)RF`EcO}!*Hvily^PT{;`bJq~gY0+V9#G3x{ss
znToI<C2|nau<jkWJeIs%%g6r6_#5!k*?_Rq0%6P#+1mK+@YzZYqc0J^W~onCk3Ze#
zC>^X$!1S@i-ek#dC6or^^G#{w$1vZDtanWuwBd!snnS@Yh+XIM;hab`)OkZ0vfk@E
zaXER)PwH5SDh41f__C9!mBh=5z8pVmId`pqp`wa1KV5ZgHp`4bPuy)#PHf&A2=4mL
z__3+~>~oe3{>%1h{uysQn5BzL^{Mf(t7(pPKjYdum26}$Eh?K{KLG{U>sMo^zdaYI
zdN-vCSDy$whkGe~+Xew-7JPqa)~%sG6A-H-Qfw;_YuUt46<COuchLrjVY75yv1Ip#
zyz1xD^b#ie-@bn(bf*<0(KBVd_wPj<^$^d25M=Q|VXTx5tXccIrR;U`kD@drEoxCS
z#QY`MyV>RIm(RDmvlC&bdiZn#CLMhQ(E-Gn2>q}`Tg#jMhx;&Iko$}USoq<np0zFh
z(U<-Dn%uk_FJ|?Y9fRc-Yg}z^){4G8GO(p7c>M3SvoQDPm$!@1axYft#6$Ub>KCOb
zrHyf3wf-quzA>wjTGL6TW9YQ_vSpaUX|7`lPQ1yCOy)rBJ76^`AnFa)uXou;Zuo9+
zgAhxf2J8jz1_Xg=V?>6#3|QGMw>6B8OF*dkafZtcvAlIf0<hp29^+qHOGXp8TpP(8
zo7;~G@|~X`Y>&skBe$)p<~BBxw>8=wvyLH94AMjOy99x~rV%!xEO+=Gx(YQ3{Y++Y
ze1c5oMC^aSdJi1-q(@#4_u5hcy`*!<4GhpaGH1V?u5{1Swdr>>G6Yv4(R(L>C1yZw
zRYi>JGB^9oE9&pzlV@jEP6SsB^_lSd*!F>bvl|k9lg!;y@s3!t5P}y5Et#-4AU1&(
z9={$}2&=^zlX=EuW==*vGJY$wPK6Hq1Z~^>naaV8YJY3|HVDCl91X`rDEkMeTjb@)
z-NlBvDG14h$Kf*Xe938mWt_ze&bGgIUm_&U%MFr#!`tutHv{aUz||~z&l#Osd)D8`
z@kwYMayiHMIcH|_^+8wU+{p4p+i<xo-nA46B<XQrxGklJzBz-xDR->C)^kf(DRZ(G
zj+_Q4`?Gf`lcx~D5w!&H@bfL-q<<FjC}(XQ7}YAet$_$+-pR}EycDg_>Q;Nu;g>>6
zfB9wqRSo;Vqkqo9eFOZL-^Z1z#Woy6-z3Lv=yk`D_}ltz0Io#hvwmK}yK(@2l*j6~
zcse~l8HG4*t#DxN9ew7YSs?d%h1g<oWgPWUEH?>}PU_^|q$TN|88a8sVN^o|o*T3@
zW@*0p_nohW0Q)m7|J*2h+iJtnxLu&}!MgjmK^Kp?IBBaRgKZVvT~v_8Kyu^c?dyvz
z*37(FyOKN~%xhRvG(RmOd-B7bu>!ty6efZaPef6RsTIcOm}5%CcjDO(I{OaAjaMtS
z?HZrJOnk}x3k_lrf00_$O+2-BNY%^2Fcd+2)VMB7y<Y=IP+GgAI=MH{fRM!G*%s&n
z-|LpVk9FS$0iu6?^$dyUh9>K=+3_2hzVN>3n5|n~IZGWJFpU7F9fr&41CB74%S4k!
z&7=st=n%f#IJ1|1ui#&zMI0X7#C-jGkIKOCU$#!MgXKjP5j<>>t+7KsVmD@gUbqLM
z>_gjf<RcjkePFZsia?i?3+eH+u(c`{XfDtqX3FPM{VqKDE<5fV2xI_H9}e-k{=9B*
zAlBfr`v5&=WMp(BTPrtv0l_zLT<K-MKuduKdMfy}=;Z$o*&k}~$tD(QVU%$ncB@kS
z53#E<JfP&n9n6#V9{`Z!IM6Y<xkHGsooiCCR>RI#S*R4(Hx~-pPVq=4t?+>NXKNwe
zK&juCJ^|HwJVixPzHDp0{D^$3Q8%b_*y}KR0OdRs&LKP5i<YV{w&Hu3{&&lP-$Qp^
zZLPjQ%5FejS;ns<J=_|8&PzSCNj#YL{A364$TCNi8oPBc?XHs7_6f4r;)e^xTolP+
zXa7wn@*7<?bMV~iz^VP%ZX*u{Kfq!S^<bctU0B`mG@qv_NSfI^z?E%Z;hE9l0&Xod
zmgXusljexzXPy@Ks$TMK8=HR<Yaq2s!8xcgcZ*TBUe_!{osIFnEBHvXTY~xi%2iMW
zXa8)^BH5^J^K?QTq?72<zXUU&gODPpV;IDhN9>o3^?!T}WW;<-iWMPY@bBj=L?MBM
zG-IAeyug<Any~=KrOyxDU1%{=+$uV%_N?s$3^Rm<?^gds)AzUVpD{HB88W`c;JtfT
z@AhH1k$c@2=rkW=f2e2yGw<u~5`iK{4$1a4L!n{sE}PFw7kcFC!5|RGYYBZW-%P%U
zN#_7V(dRyQ`Y|<{GuGxiS@P{8t~sA$HpRm)M!L>|U+r4Cdp!g5IGGv!%h;IY5q)|s
zg!pVuMB=-fJUbzp=&pq<TJ~s?v@k+q{SSSnE$5iwBQ<)dr~KS1i*Zobo$*l}pn)6R
zH%FPTUR#N}hI3DOroWHbv<`yr;8_RoH!H+4s6qR+Yb)(FWDAS7iJawaynvz@tZ11$
zC|&m7eb*2PbaNPgZS@|gq5P`({N^TY`Y(Geo{bJ%daEOtLqrd2kmJY_dSS`PAR21R
zJ&|rQn;aHj*I&0aiqxS4C3*0IS`Du{KPF3?Z$=efH;+G$2HgAr9My;Jt`T^@KefXJ
z*_&Vf(u`CgOawr^y}@kw_kWXEnSTI1w?O4i2>rHvDCl1AORrNBsjBrUB|PW5XO*#j
zdj|bdE3wba=icuP!9bI<0B%gINHe_hXu3`w9I${}!4qh_-FFXCJlM43AjjnnRfe$d
z_}%@_AhZC()19nO{KqIex#%}L|ADAS8vKEzuz3C%z#2b}J>mIxQnmLk(SmP}VD^Di
zYqEWZ$PSv;qm6@ugA!%G=2M9N{xyqGve9%oBQCL<e443n3iU-$K7KuaZB@v0)sZ>(
zkpg(w5vMypxD{ycr!BaN9zvqiyNaKh{A#OOBvt6tqe_zh7s8o;4QS>z&O{Lels#m3
zTnWtNvU#2#O@cXcr_qG}Q{^(8>b06<wV9(ngS5|rCwGh1$*mB6em{LQ4mUbgeA0lo
ze|0iWTa%5>`ZCMLvv6YCo_?E-0(^t1ih%Gxh(0QYtCvH$Zf~r;wGN5A8T#}x75*)G
z%V>j?URY);p{$XV26qLWe(1Y}ilBU4;-6S&`=R$(Fds}hi4l%>9B3GSrsdN-(3>8K
zf%u=5+J;4*H1OYKzpy%q<~aDQaITZUS8<zK*s~#!wZ{Wv7%Y9zOpW_@Q)?n*kYDyS
z;38b-8h5hSQ+<U6NP%m*fbhe^RKUyQ_@{1ehURLVsx^NlY%vRySm#)NPHqb?kLtRO
z?n2EPV%VjQBji%sx*tVTv>CYaxikC{OVpX~OoYNrs7PbNAb>KVuPVdMH&QKEwf*wH
zW1JYklP@dt=Vm<gX+~<m0EaINISnC0fWYOu2=dr1-uiiG>P6wTv*Pn@&{-Y!GZi<A
zAY{j-QwMWX>S!f5Ec{56kB#H<d8p)V#(&`V$KVizftd9DX!EKvv42y)n(%;s(D%F&
zP3Xc^D(aoI);jn2dwz=d&tg<uXD1YfHsRHo=)D9lmo07MmW?^SLkGF50iWyAY0V+N
zPisp{b2l95A>La{vFLGiyA$vbV*}vso57d&>X}5#aDUR$EfU7waR`o*80-wUgUO6=
z{P%n`xc^}8hjQ3qpZK+$--R?c##;R)r<bQEaTsD;4}V^?+AaBQ3{)!_=%sp9Q||Ml
z@jw~87w6}Xmy~|^#|w#TVhk4HNtEJI?kLMx*)^@%Y}e>SK}(5aBgIIat9BzNDjnKz
zNZ$jf-)Et}0LPj?@Q4v5w$86iR^2}4(64`+GE|lCfoSm3V%-Pf`e=F)#yY^p>Z9W0
zIwL!QW&<suvJcG$v%C8cgbdc8;iKscz_8Rr313KaVxt6xMX5H6=1I_@qG^9_i1r1F
z?rUMh%BdY_#YS(qYO&UeJNgZjR>PD3Wz%0}QQ;X6mNW^6008@OVY&f<hcmvKme$N6
zW6tXiYX)LG&!e-9THEQ0=a+54gddVX;h4!+SGI=RV08(Mrwwv&2f+J<4Fe(iH%9~E
z*8^X$62Q2Xk+OI1<IuOtmy?^C7d&x;j!$ESZwl}5E$)UBswT|3$;duvO#UCI|0+uo
z|3`>+{a=_Z=cJaT7?D9@dHJxDZyRU+vz$raS2mdA&;2?JMMkeK2amUvLt<l?DUmK;
z=acyS2uk(@V3I=y4s8bfxOR^FdORTX6$vBN)Qe0>QBjZl`-CxEubr%VQ~nqy)BBCz
zx}g;5@Ng~cEQM=kEb@OZ;whfn0H{wpq;7wat7GPU<IA|2tH8k7_-?vz=}tA1gZakT
zG9w?@S95@#*V8O0yIw-kSyn0zj^rbym$Gm5pMwJK8`L|zgXmRTHF}eqBkGsj=R~eY
zDYQ;gNr?FaZ)0FpynCC<*(&RMZM#uvWR-&eT+D!Zadw-}aH2D%!8vAZOhZEXU;c&T
zA#U6du%_aGM{Rs?17XJ^n=1W5zEq$S5yeS@JDB6x3YZ}!Wt;+CXhLORCAM8VaJgea
ztZQP%0>;i}<Ulgt>txdgOFIk)DwoM1$>ppY!@SDkx7{89{D;#~gKz!BLP^k650rOc
z0@hn|<C9UYr@B&sgUTUN+jUIg-(dP^lm|C%oXcrLaihG+(0w=NIXlaz&laMxJ>q(f
zE*%uHB>wB#f^&N_)%9jO{Uy@R(dvv}%_rOwnf5HUoWsi;tP(-dTj_GOU|zK2)-Xf9
z{ajrlHIL!_XTN<n6bDq4HS76*kZxelF-!i8pgBpfpajaul|Xu0P>D74+$9NR5zr&3
z{%!aJl={v|?tf*VS6NPY@7PMbI$X7{YH>If-?lRk`biur2sTG7UEY1#{qas4!Jl*6
zipI?>=w&3d0h%LWYx&PV!puqN2%encewO5~$+bUIU3j`4uby;7r<w`o%b~h4p`3L8
zIOvVxP+}}U57_y5wVR2n>FW~ry9e)51*s4ELS$w2$)fiwkfz5D<yxyDlkzX|%l5Qr
z!2c@?>9d+tADs1p*uSa9M0RYfHzw~s?qt)~p$T=fRh>BgZJnF0;TrqxxyvR42nkP)
zq40YxGCjEKY7B?XiH)rh+JZB+1i!kjHr9h3cbr;Gt@^4g@|UDfHPVrp;y=8RAf7*S
zU*SxCr(@t05%A)p-)K3L<r3XEllPK9A{rh~uVGXeNRaGcVdQz(rpJmP`p~d_pi|uJ
zztOq;L*9UOAS3@T7WmRu#D3@TJhL&7l{}80d^yBcUf@JbNlRwiI4`}s5*17$qcay=
z=e+}T?Se0h)&1d~sUK_W&eJ=7``E8}&w|GEpkH2>Y=hBgbbdG>lNyI_45*MxU1st3
zv+cSf)E)hiOhBzv2-i&-`bpV8o61*07E;pSBW94&??Dfv9XFz|SQ=)fi2}jyTPl;8
zC8z%_X9J)C(CEC06U#%9!sqmYJjpP^x#XHdw5X&x%Z6t%2K%8oSG%+VmWC&>*vr_$
z$=}cy;?rXo(M#`B>4egL$*G>?AHE82Ca18#RR^dvTp0Q69<SaX=1utuvL*njIZRV$
z%clh~rfFQ7(iD<XSbiu}2xwZc2&%Uw`oE2wm62I5vjZyouBKrs^b<F6`DYoDw_i$x
z*2`MK!gH?Jbt_JWfXS>|BYB9|vK~#}-etF*dq}dJ--PrdUUQv6qcsk6AjU==G+%OK
zK<}`&jtFs&Jx?qkDn)8sR7V!9(;s(yx6UJ9$$CF)tlzL3qqc@xpyQ~GWJ)1--+MRS
zzXiFaqsMsXKT_lc9!%KoqqDBX;WC_N^2AAAAyqO(&0YMW$qiN){o=tI=1carI~ed8
zymSVE94Cd{_oZB~Y+Ja*(o`TPKl!j}n0oKY50^UASf27QpuLHX7g|`jH4f;PvbOml
zvb7{XR@O1$HFtxa@dp#pNxH3lG*|pew&Fq4>-Oj!YDJv@iW5B`cP-4orMORtKLwdk
z5`fr|@_{u?qmvVtBC6P{3|8B^oFjS7@kT|<@DorKrNEt#1BB?%bLyYv0F0Bzb~-aa
zSS`<>G096tNU=nen3%*p6uG{6QN-}wo1yPz?u3Fa$};oDE}h+I#I$LsP-1@sNdA2V
zzvWDB9DFVmIDAE!AcnS9eF)}#J@|G-3;X`D_PoYXW>BAf0>vFRY!AI7ig~KYr(3Et
z7s$4X+#8thFjQ!w9f8bt6kUY`rC8k@fJP}}?xbtq^DS&>E=AOsmdv7=R}+wV=6UHa
zZ<6wj(c(!4|67~N;=}XSX;DKMWWTjochSau*{c5A4JYcYH6D=j41k8eJ)bZ-4UPQy
zK}^36J(rCw*R8~(`TBH80SSuS07oigm=`E?4#Ba@o&-AG#`aTfmayEMLpq&>w?{Ww
zhME5>Yeuyp&tN%e6&k12a1n^fcSAB~agG4*dURz^Oh{#<@-ol}i#+i<IWKOo70|uP
z<*Nj}tDG*y@*36E%r7h$o#Ex?Zg?bP(v|(A84=A(=mTGm@qxJmKe_OD=(y3?A0<QL
zY6+BgJ6-<xU!D&ry=58WJqrdwQ1ThH`Q;DO$&+v4&Ub@r7R^msRw)~Rt3$0b*$U=>
zb>9U?UKki2?3ep)d;Gvm7r=|xbzmv?1&4#7u-l?D=|KmMwVoS4JJiuXpB?VoFq(nt
z165p0jtiLn-915NK;bXHIK={Hi&3r1PP3k_*>rbi^f+d+JJr1p{ez!1%>c1o+ke3~
zcKmT&Pm-Uwbo31F1ltDRqT%DYP~DF7<6AfNt2f_>{gr~sfetGs_|&&=K6n;p691Sa
zEaZ_Kp_%>*8kO9Bm3Tqp-K`gwD*wC0ZU;IOmxTP%Nvs5Fdwrn12GsLry2NJ-1SgW0
zj3c^Fk1~*{fYHTy@&n(ac73*qNiNr>x0-T~Xdpu9!{gpej=p3^`fV_o4{QUAc&B6J
z79rs(k+!c3s41S*2;I0_i68EE>u{y!f=Ar`9uxV+)jYL67kx6{|B5ML#Bb5dds%QD
zKD-t?viyztuNh2DB(6PQEyi->rJ-k22IO92k;VycORLcGO9DfxyzQn=KNW8vmt>%Z
z0#no2Sv`y&7QJ-nIRdE3MmmevX^<*)o*a0YvMxFf<5B1Gg0}kmv<-w`RA;B>Mju;C
zXl^f@1*Xo2OUA2d9f$uf(V@a?;?NfO;)M`fhmg1yw!Hgg;dyD&=j6!U+g;Pm_Qd00
z{;JMlp=tNpX@6+8*7m9+u3(?M`82i;20lB73MYg6*pgewJ@_(SCQ8xmiW~Flf<5?l
z`Km9+d#J=`i#kSDC&|`)j(TmuW<URaK(p%1C)wP;HrjzSSAD%s?WY(}uh-E-OYckT
zZ|Xk61H|Qj4)e6sW;Bbp5UrYH{D#=#h2Gg|Yz@Rc3w7Olp-84kf6p&s7>90*^rl&f
z9FN0EX=M<Yj)yhOt~j&W;M1)w{(q0z7nxi5%!XQewr_;bO8LONkNe4{1m8v29vN6C
zjeT(i6f&{K04(DXUpupsfW?T^L1)WAFCC+&7||oo6qDNNZtcEBV2|3t4Y(?9VijPI
zmH=w;Z@g_zGrw8_%JbFxuELxM9q#s=6Web(JV53Wlg_M;J$?RPly<>;_y(2)71EV&
zv@fAgLM99t=4b^^>%ubt&7h@3NYiP#qaSw?<k3DP@sz}<`4mdGTyhR2O9XdDi}0WT
ze>e~4XgQlykL>B?we|Co2AlOK!SCo6#3@RV#r2?D+nN^I%QWb!0{fwXsDHDLtZMvK
zftbg+H{+mRrmHNaS>v5Nx%O3)1;&ieb{2-GLK|am<NDgWbH8m()Hpx98c%MmdBhlc
zcsu8iz&7WUZK~-MN(iJEVH(y31K2GvW=lnLsT;%HT-jt_L#5w79c~xj-%piPj8dMZ
zqecyJjTyPDhm+%5cNTa(`aYrjzt8MRU`5f&G#mJxLg9-!WkI9<c{aYW2#%gs(*A>L
z4R7*q&&_)v(*9%ew&Qg5T3FjGY^a>I2Otfa9=gH+Q(JTc@r1)(%-V6*1jRNr`3SWN
z&4;vF?@*Y@IwX8)7CDeCp_oCme_goqsCZt0a)!C-e`yyTdzNGQEoYC92<|t!9*M9Y
zFI;xv0v>8H&2S+azA>AYrwU#q90>7j7=xH!PZahr7}(;@fg5Utw#k@j4eTu=TK(Jw
zGiQd03wN6AyJ!JkYzffj#FPSa6q|g1T``o!OAossN(@~5b8;h?o^p`o!_T2vacG|X
z1FfO<;>&cre&7G342E~xa(|o+fbRBw8GZ)i&zYs~ABb>>CHpK5h&M_d-Y3d8ABMd^
zuL4TKMR>ARrr%%y6vr+WqXWi9QubAt*EOST0nXp<_lcwC((4fsvhoyQ1@;kY`Yx3>
zyB9tj9;WM37KwPy_?*~37)w~?r~UYUwX5#|zkWAuKoTC4q|$6Y^EoW%Bj;c4ruj_H
zRAt}jreH;AeYKU1YBd8W)+KQ7+!Cf_>*8SOoU&9q7nzw?T8*`N%dPm;)KL%n`?V1k
zn|Xz`T4jxuct&rm9_i6s53sJ*hATGSjcErzn%iZR{$G1v{Z!Q#z6*%7QYxL2(j_Se
zq@|@BBt+>>IW*GUDM%<KE#2K9-6`G8;hejVALBcB?w$J&Tz+sE#@TzVwby#%d7t-L
z9>mW@`0^FAA!!SDuL?Gmo}G5;WRO1i<I@1D&I{{8F(`^pm}>UCM>wNvVW-<e!-}+b
z5g;UcA5@;BbpT}2Kh5K9ysljEaOR(2b9|zV-l$OEs_UKl!|8%>Vi(+MyamnIqE6`_
z*5Y>S$vHm(U-ugvMB01J22Zlw+?tSfA>coOU|KGiV6~VjG*;T{FAhsdW7V2OVG93&
zYebNW@s)_uderD+@moWwJ2vw7JbkFcI>!aM0#&+jd@#HM`>z~CdJkdvmQ#8z`x`3x
za#mWfP~_ch@JF&6dghpp`6iFl3jI4S11OxN9Y0#ySPiU(b#O!u1CBgLjS8rw%FYhy
zO6aLPv(;1V=}A)MlP_C;s!Mo;zTVOkHyfqB_MiJKq@MMiOLcm<@Fs3y`FQCfi}h0Q
z0gbRrCpi>%TNV{&{UJ{*jf$&w+0wVbTVF~TAk~Vn%7!T38yLXY4<az9BD(_4$YH{k
zw|7kE+JnigPqbE!wt3LHi=zT&QiZC%V$$n=@f`$pGnwCqbIl)N-J<bC<Ky>ah`2Bb
z9b0}U;~R1TgttfGgM7Ray`aq`V`yfob=`IaKvc#y*M!;SLCsVJF>4AGZt=s;FF-6g
zgEw!RAp3JQ!;hO4EP)-VY?MEi!?V6^I+b<sHJ>i5GQO(pLn!@&rSwXVK~KV8oHRJN
z!p@BtTMBUYLNOlepE@<WecGe(dS{pg-fAN<Zou)5F%UlKc{*GVI6*dDpsr$CH8&5d
zw5isD4P3&Y(4VL2&E@*?H;=Si6KMt19k|kCG65;64WMjqOJLv}|Mo#7pYv17!2svK
z-gXmh8ZVG)!=`6Z=A2<JhuNi#1oORzJD(qg>nJs{crR$#`<^foE$mRESeq=%F&n0}
z#9hI1^Oo;T;%*${xHC%Wa~&X?+VwcfZ4<RCeeE&dU18Lka3r4T>43lhZO6#`e}D&0
zk6eQv8pM8KzlsF{QZP^+%hayFNVp_BL8|d@#J^MQKTGEv=iN6<83oZ6pMOXKgbc2W
zO{c6YMlgiUjuvPmZqFT#DYHMHcNdR4sJn(<upXIY9c8@4n(T;os3c)L{e9qlj>Sa8
z9T!eCzDXnDPQ4MZV3$`9W!x>{@dnW-1+;kG?q6=e>NXN;C;+ZI*)~|)Brh_BbKCvP
znSl=Om?g}h(f!=!t7<WeKHSE6KbTya*|t7^oNd1<xZ^%}SR`OJ-9i<q;{O16Z&?su
z<!@9O0i9b;<a1@8=C!h0s<f_CH*+kGcopxQ%=g&y=aFp3S<4O&yu_t+9wVJ@4&H(R
zeI~6^*G?u~`XA7QGft;&f0>@ByWtxXIv!5*L@48jJAhfcgmY?BS`5tpYl=mRrrYJC
z%I|s(8*KNu^Zv{8y^|=cenWL4Na6Se&y)x8^D1Ub?@RL^57MpLQ|aIL^RpSneKsFR
z%?_{}nBcuW<NBv5Qym49gN6cyciP_KWDT%nFCs3dYUk}t;8vGsfas`E<i@E@V*Ln4
zlZU)n$=6v;nR{-9dgr$ZXT^pOECy-r1<gyZ=rxn73H(V17?Hwz4SH6@Bf2*#p-uI{
zF2P;20`gVeu5$jR3;MSU03%@nxT!0zuxZ!qJ;C7cJD+UW#1f2K>n8S0=iK@gEDR{7
zjrC4Bp0KI`Y4H-ZvTUL<qGeyTEjDhQC1M<M&*pUNYENM)<SKB)=`~e2&GP@mV@gw|
z=)t)-Jtpyk@6Qua^(Cc<fDSmzTJiiDNur=_I{B2dH8>M*18%0OF4WFJ=)g^0@8~Ak
z=5oPw8<_xuKXZh$Yi$@v92XI)%`qmna*M@zG*tF>N{Kyo5~o=P<YeyM0?7z1_CNE<
zf_KEp6FsOfNv#uK`+jr(S^Fuc-nvWNCCPKkEBDZ#uJyGj1a)x3dYZ$q-5p0hETBnK
z3byMHeYdfOxT425l%W8Wspz?Ecn+_~J>SvSY_EIRzS;BEOS6xTPa!5D-#NtRukR0P
z{`-xK@o{FJrS=**VLbzz8bzdD64Y9y%4Xi!z9=sHqy<7`_P8dB`$;gACcJil3A(VO
zadZh@oxQ%f$=nSt0|6Fu?-`teceuNLl6LbhTuE*KBke#(5=~=)gOU$?saY}Gi9Lua
zcyYEf*u8-TMdM)z{f~M?=zu(FHI1`=s&qmSe`&WS_u-6dW`A{=6`E`O@Cg&QC34m}
z#YKcm!_%|D%FHibgg4pey_T@?D>X;y{(Pc4m9aM$UL+C4YxsL)YzXo1-0vYMkNJqr
z(hCY^8L;@(V2T<xaF2U<Jy|uoibj3YS9*(!$@|xMsiQjv*bIq{ea$-O)G>8bho%%%
z6M1S>hdy=w(4`R5j>(k<8HvBwu|$WK1)IOebMnyxfTlH?udauy6nVyAm0UGiu(&<o
z;*_>2Y^f#k``9yeJ}+n0Q63VZn8cPQbmIJ^$mmK$n4>MHX)DpUKEpNmpI<o&y+(4Q
zw8uETV7$CDKwhXpO^)HMXU}BxicKtXmNe`JXchIC2}|Zuv#GS)*#?(!wdH-7&$X6-
z2?2TnB`sntyfb!=W6TY{*m(+H2tw12d?YJ_6Tk263*b%Ao*Zw)Fp77}HAzNE|Kpl#
zQ;ifss%CyDIY*5Tq4p6iy(3#58DsXjkNIT&8crxeRz_C2v+02bA^8a>e~niD^h4}x
z4UEEd8Bx*ec5cZF^Tw$ppI4`%bsPv+yTz*SFcfx_?nx!_NUv_uyjTqiJf0OkziAb`
zC-&zI+ack6*O%md2KLicm;LJf1@-L_i49g>!OLYhsAL0=MqPD<&A&nE^|b4&4(H<E
ziS1C`!qWI1GU@^KpUWWoX8KIU{CU7^Iz4DQk^OPypD$9T<xv)-S?eR&6T~jl&X3sI
z`3JEC&?K57f}vk*dPaav-%msT_GoT|dw?3p6?VG>zRd^SCHpNOdmas3&V7c}W{p&|
z_u<IultTFdxt<01?adl%g;hGt`?g8ID-m13pnE7?2xKUZ?g&&~a<;qzX<|l&JnwKQ
zlsU^kZ)8uo^J!<8{;2`#pndcVFjEbJ#Pcb<(P_<7=C8qQ=W;&UB=$5Guh2sVl!_Xb
zbltaeF{78nSchlthVu?}MnRu`*m&DFFVnKQ^{(xIZBOb!E$tB?dW?IMOm+`p{_AZ2
zj|S}118&x~tev3B1nWB#udVlTjyUSRzp_ok4)h`&3WL~SKReEvK!_8kPLn8wX@zWT
z?6x#EnIXh$+o40p$&#XFkaua`<A<_TuZ3oXz~}8avp`#d;WKG@g4Oj~&Q<C?IK5)Z
zE_#-?TIRV{Jx~&9(x&9kdZ^jOvb=wHiCAgjKW)Ak?wWwT<hNwv$4>M+6<bFuTKdK+
z_nE3-ETd=X>&m+n@q{(mYJ!cB>{#U4SIfSbtgbSOHj&Kf=mdFR7S1Fa+2zkiMbC!e
zSEHd9)qpCCQ3WPB+j~D``wZ#wXo=C7nIjKi6f7`7-*l^tCnE-7Ks9$6i?DyauSFVn
z`kVe?h}h6W7O-8|%8*CgoEDK4G-`q%LN#6U;EKvy>jKE!L9ldJ9CdQ<2eGYhA`hNb
zoFyN<zV3M%3AuywHP@mk2z;?8K4dL7ze4=^=#2SnuZ7)FQzIDzs<cj|@H>_}$JJ~e
zdIV9W`bw92`s(#+Nz|#H=@tUP4;SPx2_VkJk${CTmGE5*L-&Tg>Xy7hncki?zKo1%
zlV}0z^i2<TZ(va1lj}yDeSgj}q<#hzYSD_1N?tpOyK+9rYN!a5j7o@Rkzd_=vf6h2
z4@5yiM4M8bOo@}f``T|18eHzjljqykF=bLc!YnsSh}cji)0E~Zc#)WWDDS!+EtLSL
z{js^8jY=f~c!HA~7z~S$iKTlHkPMZ&n6qhy39m<qk#~~VSND7DgHDr&xz(rHJ6P*{
z51l-~ZT+3m+8lUEj8Tx5Wh|jOKN-Y&hHo5Vi-k{Z#zqH)(nJ6G33)u6=$(%DWG6L}
zL^rrPgB^JX4LOpY?y(~D=vS8$rBX!Yk$uG@yZ*NKH<mOH10RyT^xb47Zd$@C41Egp
z&~&pfT&}8ZX?Gjv{W-273L*rvTcR)33%`?#LtnDL71P^StqdLMBBv34dlb5OCe(z4
z&rk`leU+RunA*<p+Xax5P$D(W;y<z~OXj-BdrRXDm*A$+gMZr_Z{!r(<;8a^ud!*t
z5+W99s^&Vac*~qh6a(4z!4YMjWRM=<F;x04jdQW%@VGFS0dz`>8*5M7=7Uib5{`j^
zQ4#mr>z^4Ly#b?tB6^w;c0@Ndy)-itU1;5a8lfQ5Sl|zt*EYGnOSTs5h(HqsU?}W9
z3OqPeaCFfs?W@i7bqPF8EQA((*U?=X=*=>ECM@_LLkAAIlb{)LSlyjy^!X`0uf?)s
z!PCjD#$SMXXI(j<ELCKQ0wEVLKpTsraR>dq=dAuaH$)!@6kjeZuaHmpFqtghF>#{t
zkG}ki1t1`Lyv>RoI`1(+Gi4jtZ=?KZY7;&4;@Q;$Zls(TkqD8|$B?XwdWS`9QX?AM
zs_j1JuZc8-gxtBZ2VS%#D%bm?dWk9jKJp;mM`}0o>%x%6C;qA*t!*A++iSD1N;M>m
zG@IwlJT(@;BWy+nV)jcz+@|O9?wjr8X6ttac)n{4Yuz}9(S-Ia%k+?Lo5G6U1T2~n
zI;3ZQyK&8B(zso=_Yuj(+Dvq7Q!S2Em@8vN?!h0GL+*uaYwXRqS$#&QdvhxxD0)16
zFA5R)Uhrp!$Wv9a|2@6i+6Hp|R1=j?dkzVt-@dHuaaJrX4AyM%u|sHmy3m3ArJLB(
zd^LNmA3ZYO-I<Loj3%!@PzAg&y)2{2m-aqh?L%F8soiTi(Lal*B!h5LrGL#7%*ECt
z?Qm+Z-5@@&#&e~c9eeUA9hsQ&7nl0nDGcR6l$8H=CC5)BT>E{})X9YOKCAqt;kJc|
ztj*uJ;u&&7(xCY@K&+Ec(~2lc6J(1^@8~{t0`RH(yp7UX<Vc<BM;;yv0mAR`6k+BL
zkL3a}ZL0E5XqDejeL}X|lN5R3P52i`G_*yk_J1B<`{hN?QdD^ChH|!)RtX*jk@Mxn
z>sIUrb1I)MG+@R-?uXXH_d6S3ZP-!_2j16d!~d@Y`$;?w%9pL$8>Rm@+zZDk(1E_n
zqpq~NRL32n>!%GVT3gX^j6()XXEDO}@&d8vkA9~0p%$F19B&c~$Mg(}$Bxw^dtc8y
z6kCxjR{QvAkp6{HW@sNROMnL=#vs(oSM$#tGys`V@a6Jh{1!a$Af{)>c;qR#P;5_#
zVPbgn)KCBPc2xAibt`M+SfKnuYkZ)%;_N?oiH`EMHf;%{pg}FMUuuD)p9WcZf6y84
zz@%|-O;+f3+Eh*+s9uRQB8QYL8wV>0kaoNe=)4vd0uyC%{7zFkAm;y2nlur$;P)Bq
z=@VWoB7Js;RTX%89}}-_9bEuGx+{<lo%>bR7KT@@b7bsdWB;PYMC4=Vi9;zof{#Ch
zrwve~o$a4S+bq7X%wZS)?d?>bjwC^xd}r3bCo9ZI9R!b%6A~^15;)%Dk;prgK&x?c
zO%3m9RB^^NAqhOuc)W*E+JU=4mP#UMXqV%E(-%p>?U-&T{S^IQ9|E^5C3A4G6!aC<
z$NX}wV(1B_^4?&G;ZPSkn>Eb{vJZfMltUF1&$6O!eOe?@lEW3_J`^@%c9n+Xy}98|
ziNDrCO8NVF<#DAYcA`#r<Cfo`9PgP{qFGm5oSz?4&9#I+!7~p7%z<a~k3|KSt?g}T
zU!xXyFSH5=WpdpI>bEvnIL5z=mI&xS=nU<r<ihz2Ao2v89iDnO42P&0;0#$uYVuj>
zEGnb`jiajP+XcA8cXAT_P$m*Q=Fx>CDlQ1#Ann&^RqFqNl=-%Zw4Z1^Isfdt@OWq4
z<&4e6#UWS$f4`N6h7x}M*DgpEtkd@Nxgzslc&^~MD9x@}IH`V_$`wpnbm4-q=0a}l
zq<4n?_zdYR2_(IHqIgp*;I)^ejPt$bWdWu&M{S&XL(7;zXU~5NCg^g|Q4meWXGs`U
zy4i`tE99T*g=bhVqCB|hVLEli?Gq;Rch`k^r`n#5&6t#;Zvj`+`mXt>MlzEpJfvI7
zHuirP19U3^g9JojL@CNAjKsWb+vaLBXFt!b+Gs$jnl2L+^}GF(CZ^D0LjKiNnUGWB
zn|s4uG&~<2?QD7+>AZWKM|Sw%WYaQW?n6HnJT1PnTd<J}M<|T7lRy5DKdMs7`=0wx
z*sO<4X`33?EXrC)o9^AN=MF%t8uvId?WD7gFq+<N&xlf1#|_SgDk@z#+zSsAqQW}v
z^R%Q#`ut~+w5ciaCS|vQRw?Yr&W*9_BUT}iAR^BuIxgSraAaa?_(pAR2Dc1iEC+jp
zAqrqk6T5@xK4Xv8p<3iZjS7_OueMOjtVkIhi#N<`e|OBZm{U=55~tMmO}B28b{uC<
zYYcI_|8z9s^eDAB;wR(Pu0x2dumxthvx-Op-t;4}9HOc?UUhEw23kC=fAdAl8uVU_
zw{}Zq|Fym&j}Ql{fUlX0;G($DZ_C8NHjX<#KHgrlMM#lCGeQa9|FLxP#67zE{jNCN
z7ik!Wc_$SUQgJ{yOm8v4MH2b1{*#C1=%kixPN53jd2z0*MK|8an+DLU9^$6cj3B@t
zB;a>=Za1;Jfw5FCMs{a>rQCeUb*BGm$^z+Hv|;`Tw>;}#uP{H7p4Ww**|MrS5KZvB
z<}^rrf+@Q1_hmU>*PPx51@37wIZZ=SpR~*z#GMv}So?YZ;1A@JXzFKzt{xVX%ct~t
zjQ&^01^zV;5s52v>N8;bcIT_3VMd*zXPd}8x*}FBUxkJrEz;U-!o+puK9qWqfrT*U
zYGiu^eP>%m!#e+R8uIsWv*3H%S}8#3PWUv96-E%h7TvwOHcv)G55q(X$Y=!vGTV?2
zZ_tXwLQU1#&W4nKn2(OXohKUCt^FE%7)2{5>ugf|fBb7op9tJP;ar!pc&(L+i|Nqv
zl%a$TUO|uufR;4SjTf%wMYmUa_!tdRd`)IJ6BsaeY<@DL(o@vJ=2*P@?s?ar{;@YW
zABS6l!xD^%#i4yddg|sDv_KTc++Cv8(nsVe(M|!M{3o>q0D?BN9`0oF{K6E7pt6Tw
zh&^gcLerthOQsoBPTfL1@_TH*T9Q2D`kue-m-|vn$p)5iv>=ULN>GwRw<Rh#%y{AP
z9mPQAC<yQ_z(zKhTt=lOf0Ccn&#)pHcs3=!HTTiT?BU0U%$zP!VU)EDj=u@gfKgM-
zD&m}3FG;RF(}xNeIPo!!y~2=>r+K{VkB$$(B~ro7K)46rCw1beYu<uC(_feT4(JHd
zUpzZ_GIc7A@*tVKz}e%Qk-gks<kh>1JG{pL5#^JmJ<+N*P4z1)`nngRC3sB%V)vKE
z;Xxfd>I4DQX1(m#jMFzYc2ug9!&~*PcsnTAsnAFl>_)Hz3KhNfUz<csN$D~|65IT7
zKcH5A;C|U2OL@=F?flFk=5ed#D8hK;t{49eQz`|Gz5y60?T03HKd#Un(;wdNOLM}Z
zS3Xj21mc?qsKgBa*kYdqbk}s!Yb+LUj)>$labCBB&sD>1vJi>TCw33K`itAKx|rY(
zU11T}PR8~~ioVQwg%*($Mj_T9^`@uFJM)O5)N086w~G*&Lo2{4QGs^7lpt(>jO>bq
ztBCIVux0!EBh3BZht1>i;QXmK$vruanq1zMv8Bz+!iSHtsGx)_H0e5E1Ex3k)`6M)
zp0fz8ZIWyMX+c!;^WMCdGu=;|$Ww`jSh;QiQ@&2@DHZtV)AT2@bx#ONqE76Uy&gW;
z2#D@@<n(r@l!BfV9WzL_xcsXklrx$*unYO`vB~%klYecZ9~J%b>{obqI9=w)b;U?A
zE0cu?4|)#kc3JbsjJa*GS9@l#H*`^bh^v0Em$no}&+4Tdw2n>nBrN`Yo*J4fN9yQ_
z1pu}0<nP`&>gY2F27`}UQB_(?eN**ml(6B;C`IO^>gxGC13J3-ED4KX@x9_kzhNw#
zmX}tN@lvBc!`Ybhchty$>;tfLk1TbbIjGe4E-|#Gv()7<PiYC&&?RDcQE4ZkauB0G
z(i?aB>7_JZNZIv4h~$YSy5d={;>A-z2=?AadDAnR?LW-i2ly@R-;B@!=Bma<6=eFL
zm^w{9VHfd-Zuj`n3I|{<WRY^jS}zl?MCY)dB6p#U&fFDbRooXa?-7Z{di;&9WNee3
zH?qIWEccH)T0nkowTMN8X`~wjnJAY?l6B-r=SiX~<SAqg{nQGVP%-xwS$Pb}$XL{M
zVyEtDSswOi+*CwGFSB@b$oOS~tl~QJ_Av6{zeq2I?uevEHU9fa&WXAnE6Az4=nt~3
zvTsFB(eITJ_5~itna9Bsm@(nofkN&4Z+uG+n7qt;B;@mu(kAW}?QY3xKmI%2++xcS
zb2g=N>S9o{gAy^X{!A;@V25FYZ_8At`9M0yj)G3=Fu*aV#KOO}5OM2GNXcnUuz5GH
z@`8%=UZ5Nra?SjsG!QtG^EruE7bTB+@b9fDpeSOp4Y|hj^^^=2T~v>4CeG+N4ii#b
z=P`k~2!PL+eUQ6YecFbX0ieuhs&m_oj5TYe|7xYWBrD$oM5y54(!9e28v0TP1v)lm
z0ltU}EOA3L_Rq!#NOsh+yjJdQv_)dj_u?HYGgwkroZ*S1c$Aa(9`Y?CCNjd)+Z3uO
zgXKjzax!^`4qPb+J@*ao%xCYkD?7IcxqCEE13-AZwpYq8NmF|6@0=q*Sb;l)EI3Zt
zOA8Bk88gFBe#fs-BI(GKVn4}U=Iy5PMt7r|S(`$MIw~BfrLAidWdT{Mtw3&rS>SbD
zgg%+jvwRCBTK@Be3@z)Y{Z47%#mcLpC6=W!KGvc_NaoV*BFxZx$0zk);FFFl?i_+8
zafZRq>^0h42N~>J<8G>eU%5&@>BbNS!0YV9=!Q7Sd~SW~1<R?~nM5M&l;5Xz{6#y9
zciUTH>M0TYqNYOPnfifN!o7f;Xw1mu-|Hk9(o!)j?6T7Lm?=%j>Lv6|o^a2bA5_y4
z&Oq}_Z3DobReP$&n*iV_>~hEo0^2lh`|?S&O7%rUGAQ?tG3y!5y@rRE*VbIAGW;8V
zzBugU5qIMm``3*K6b^d^E}MS75KW+VujHi!8`p`?NV)fTM)$`C@nN9=W-rVcDf4#z
z=c2bj!5De`jfsdz(v^l#_~D(CGl=1$*6|3gL443<=*#>sxc@;-S^nCDuFdcDQV2x;
zv`p|g>U!5AUJ(rF?r?}N1J|adgh%T8w<4<*T3^0u&__lNXyUXM2nE2v{T6^^yVk?u
zAEx%l(^lgHZ3#LNkCKDKDm-FOcvG<#LxVPiNhsX62C6CexBv&rK<AU#xMvD#k2Xbp
z^u2I!cCPNWV5?rs!$~$J?Su`=^>%394p3TSVKUoyQ~hnz*vpZ{B}0ljlna=x6Co3j
z23_HcX=78jp&!x3jIscSn(#SNqON@}#iwt5L1y@-jc>m71|<8IUSA=;+Dj;@sVRl5
zM0&25FVxpigdm#Xwf$LumhZHb<+hgx3qfA+?#LpWmj=!;EcC{RjDbJf0%MvJo|I=$
zd?&7H41Y|Kh|Jz|Hk2f6tl@gHh)r%ia<seCsd#sOs?lnFFKBQtH2LB4)`L^e)>hO+
zpl%;%@0JA-uWg3Cj=N*sEA8+?xVS%^Z=C7fNFo^H@TYJ$Dkfr*m}o@ZFP;}{iBEL-
zYVYvbWg;63HkObba35GAwpVMbz8PJ)I(@hJCq;;MT=RIoA{*#*fa~PFB^<D4!6Q`b
z+lF7QGsNb(f|=MS8hTL@dw;Qoa&4Xw$2IsX8^vJMV5gEISxVYmK&{D8ce%j9Mt3}P
zSOS*skL_muEtHW~R>*Sold;Z}!#821U5e#X8sCjIEuC*5zYl^JKfkS2o56-&e?cW+
z%ze=d725M~TGHELlV{#v(3<6EujQ_#@Ve(k;6aoe|5md3^*gQzLyB<YcpR>(cC8hK
zyAIaWT)UFJLqnsPq+r=eWjY0IxZO7FKoc=K_j7I!V%Mzm)ZBUQ!NYZB#Ts9CX_qbY
zu!saNr=DBoeppAeO=Zv2rm4p5!PvoKaBlFM#7Nb?#h?!_r*CCraa0zCx$f69J0u5^
zy~*JwX@}@O;=#W7P{!6JJc07=1?6E>q*O>){r<(=D+)*ps%*`IGf8%r{HpUSXoklD
z|E@65NJt@ajq5fp31}^R^U0ezYfpjWl=#5HV><6IRM5Zwtf^F*S?!dgu)iiMB&X5g
zSY<pL?;YynNwCM&T>1WdXDsEe4A2y-1nm{79~z|aJD{v;UlWq41x`mX_R<cJd<@!#
zDm8hAPi?nwL?|i~dnbPFj-kz9IhYK6)Z1-JcTPA$r3vYhzb>$sxVuID0%DDz)^R(^
zehBq#(t<8nS;7vU%o#jFuzWCK5Qio+YI)bK1Dk5%l!g^{H5<5pvy{((&F0V9Lb18E
zgd=pjM-S+_C>rQKZC*{~kSRJ~-(mm6?`~cpgw?#LD6X`=tHWC_JZSd&&|Y_*E1&v&
z+ndrj`a*|@^mF(?@k1ixWhx_L8KFW;LNLGy{_x>L?)mOiv-wQ9sf${#4;-j5PH&lc
zn|WvbLpd;JfVDmBv|@u_K>`mP#*+M<c=)!{afZ(g{PTGg6N$!2=&@E)`4NRMuHd!C
z1p%7)er(y2$=do|dg>h;crjJ*Wc50q*%caa8oH+FY{~c);%C{MA0Wt5@C3kceBuyH
zTDNA|5zYoucr5TIw+EyB5|tZf)diU;V!q=S_K$n0UcG%;_!!jVFDYEnk*>)_3;%<b
z*JC7}C@M2y8aw()tQ8EHoO%2hlWcJGNiyw0M+)PoHV{5>g@Pqd45j3+|09R~7@9ot
z`G<LNG&1f9Rj^>0*{g!1VgIg|_&VV<AEU8l=7V`uUIu{axEXo0EoemjJ*8I_ijwi3
zLAXAZjdZ9#MSrs{hUfBTFivSD6J7pQ_$09m4i$Wm7J2^g_cL>sO-TC^UPt{MWbEsl
zDoH%?o*<gPL&B8*zYb~Wg~Mdgn9V^mxD(zg8CE+2II9s1#735-S19f2Pb^Mv*y^^j
zRdRJ}9^yP9dYb*oSq1Vz3D25pCm^$ftcW9ib^zpl%h@0`d1S;2;|{LSF=I{JpcnGx
zd99LqEoF0pig*EDqACwOBsqY*st>Esd27ES1j8e5CI0ed5Ry~#cJD<w%C(;ekIBQ>
zfNwB<q=@cr&_$Wz>)IM&AX@0+K&%bFJke-?%!yFuh*@{D+&q)DH@R<UI&V44O@^{Y
z)07*qZS!F*n;KnlpBc1aKG3^#qcp2gei27<YtYv<eGFN<TDwK+UgCHP)(3>`KxoOV
z*jR8&2}D|;%dsxfAjU#ea#zDKTq)9HnuHy>!KL%qSG{|AJqSeinVySB#n-8cg-cKP
zzf&lAbS_i0>a37p;P(xQ8b<6m4V#zgIvutvxK70q2v*B>fUI1BwAU$wQ+SR-4Ipn;
zfDLx^k_v87_i5O761FrqG>SCKb}bBUXUld1ISt*Tzo%O(Nqmr^2@gUerk6J%lJ)Ly
z@$?NQnlurkaiCWZUXH1NV1zB__TXe0b+LW=iuf2^5BX%+htq4>R6Tg*s0^m&_*CSz
z0@}#8M=77;y+iz20rmrBFuHUXTiFfHgVGjh=pMMq&wNP){QYc9)<9uHKMS556;Rp&
zI#snbJ3ap9nt{eOXKJebnlXE7ZQu4#jKe+fBR1DoLn$OpGAGAcD|uBv1G=TQqzTV?
zSTZ{z;lkDw!_5P(u@sS(^UGK5$5ZF`Yd#NOhAK0Fhd?k$jRu;dJG?^ZjT?1-Rr+Dy
zq8YJ91xH-^M(^=i+DO>3xRSOmNSf}Qo)9RC4oWrLQJO78@nkj7Ue|5tmu_~Zpo=SX
zhA<}OV*VAO6nn|%3+|F>pjmG4n7+rqCwT2pI-)s0!+i(ziRG8uZCM5i=Pu3bv~0EH
zW$aO*<%WJWDx|(yTrkz;R_hhBE}!8?--?J<-6R&x;xvV?D`4=Q0Svqsr;j2!SXsZ$
z3sLJ%Ejfuq_bXQ%Jp2+u#3FowO6EAC&F552_wX72hLGBU6{CFD@M?Xl)+r_dqQ33M
zss>YGO6K~8b>U`T&&JQ4mXl%@2~B~F_0kZrl4jLiiwVdy%oS<}DJ#>E19fc<(ML3+
zlSJoRk%EDChUI>fmk-0>P?KX)OA`O+`rQ>=#Zy5OV9q$T$yIt{E#IUPpQ!DB?<K_6
z=o)@$s(Y$~79<gqG$+OWR?bkX+><uRkP^JB`sUSJd&!;MJ>XN%P4}*gz$a&XujG(&
zbNz}$3b&hv$QAdqn7lWw-HOt166@?N2wJ3FwPOKLNj7z;3Q^ziSHb}=AW$}OUWS(p
zpJn%N(Y7bgIVDJv=Q(*LqsEPW7tY9&-T#RHwwZaUD7cI>A#sz@IiYl46xd+)*2j?k
zaK-29xyB0bu?NN+Nx@@w8EZCn8`vf%61oX~i+uo0m&Jp`83or0vyo!u5Aa~GLGLG|
zN5lGH5#fK!_srF}L5|-q;DNgkGpJqp5%HP?wCS)6_Kt#RkCcRY;6_C)_9w9G_L7E<
zyHCySAe}{xUT)-fp}!*W${>V<JyLc+mVduza5$?TkqK-5c`E2*OU-vP6x!zZ#P~R0
zs1s(jnkpqSOdUx;9AvzhT;q@`d5db%KB1~u5U?XQhI6+zuL-&zM}W39ac@6TC|X1`
z+U*7IeLy;_H3<AqMMvZoC_UF$ugU;=bBy-Ruhz1-JZoEJ-?F~`q%lZ7K8=^bN0`@#
z+^?~b1{uXJJb$_b8e_j`7S$vY%K%Si@<G1~w;oRog-6GN;Juk_UFm0w7qX6<((u9z
zKN7(Io`?preK69ZHHy|F`ME(h4qE-`#@8tr5!}o-spUpyF;X#^T{YznZru$rm9>1I
zEPL^dIKlyKiWt;>?0p$%$<jBN$3s5eJyK3Ca71vuy5?EU>5yCoAQ|C>^;(}4*7X_U
z6Lv>tvhQQ=@{69q?uopPI1jYp#M&eQ$OCKKR}6zkL&}7ynaNM4l5rNl+6q#U`^PgP
z=-bY;e@>yx@qha`;Js;5W->FVTD}2O1Ukkx4IAM-^OV!vx=vu25rT0N&~JZ_nYBve
z0C5d2C6mJVp#83CWMDwVx$#aV^X3O5aKTAyk{cJrjUe19k4hqhcr8f*8hgA$0CzPM
zOI4YOH@9VgFX~f-5sK!Xv*0{Rou})ab%G*va_NNb)}Z(_^k-(c)a2WNg@WGWptZ>J
zPYwKMSAc@%d^en+qC%<SL3#SiIEZkd^@Ks2A^pt_SAa75Lxa}A0qyH#QBo_(+S1LT
z&lOh*!UL3bh};-)o=w!2_#l7@H1X~2m=>w*@W~5}lf<Te=-UuE`;u+`_ER>li0Lb%
zwO&dyy7bP9Gg5HZ{M9Kydp?_kCksYtWo&`0?K$v17XKDFqmt18a65_ufQo2ohJe+3
zs{s7~wQR~HoYNX+t6GGRF(K8X0KV0q<8;@m47$lz{IoPO`KJEgISiO|<PxyGd~kuC
z*?HPAB*@k77Q4+R1VbVq8s~$WutkX(1m8W|;8E`~Xu!?)oPC%70h9CO3hvDCcHk|L
zS<A@mP}_d|sJU<;Q(U+NE(Qg+`T=$)1fKKC?G+lby?{=y<sw49OiR6FK>ZfNO2O;%
zEQVb?hVpRWMlx|WdpujVFY37_=kYI-S&QF!S2zBYUna(ZVV6YjeW*eP*zk$F+VUz3
zV3=)~!(n<a7IN>O62z&O=xS-#Ic^7<_9y5C-#zjCydyln0ln8Ok{ZDY6hV*Cdz1!?
zA0jE;1jO$z>`s*)9_;V$r|{XmxlCZusiT)mqJ&Gs1A1@^z=qs=;xJXB_dbN|o=Kv(
zD<BNtiQ{s)*yvFoEk!Uuj@~`Fu(VWqEt6#VCZxH>g4C{Gn4O&xo97F~UJB~GwmM#k
zHF~$19gALKZfwIkUn3**$rNoHm28r0$h!^q3aJF4R@PKojAI<VwO4%AtQ3lCAv!x2
zb~Ndc1ShyIJ3q%|zhCQs)Op+Pf1KsP*J#q-K(O5-W+k6~DO6U7E%%vChTkltc|BRt
z;&|Ma(V$PJ-H^A&6}28TgaI<J?lKsYSuAfIC~}MUWDf7Zt&wyDwOZSC2+FUm1-dS#
zb9|O#0^u75ztA!8s$yu%jpLMyq?b2@n!VC|4~&G&^r7aWQ(PpIV~tur{`HxT>jSRO
ziMEV7a{Ww<pzy@VSi7fI4EPsO3VSh`OPtQ96(UI~Ly0zSNtr2aJrNqKx5h&qGJV7T
zI?ylg>}VB-DFy{8>D?K+yGJ=+*LTP+ydeOsvoX^)#Tl%if*)y20yhIDvUHrk<9Qe%
zmLx;k%eMZ2ZH1+q-}_i<kUL`<chY9VqoyO?{e1@B!MLV-e?Nr9nh&L)Adft9ShmfI
z%^2%>J=XNZo@q}C6j1LE{j!4erL<HL%Pw()&lHgDiAjm2S5#N=rBXz>*qh<<Mm0u_
z>PDE~m?+d>vKf}1?fl;MpGp7A2mSxQ{QnjBKd*qu10)y-TlDIapMYfo0`Mavp&(xJ
I($M#R0n&7#*8l(j

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/basic.css b/docs/0.10.3/html/_static/basic.css
new file mode 100644
index 000000000..912859b55
--- /dev/null
+++ b/docs/0.10.3/html/_static/basic.css
@@ -0,0 +1,904 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 450px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+a.brackets:before,
+span.brackets > a:before{
+    content: "[";
+}
+
+a.brackets:after,
+span.brackets > a:after {
+    content: "]";
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+table.footnote td, table.footnote th {
+    border: 0 !important;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+    margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dt:after {
+    content: ":";
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0.5em;
+    content: ":";
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/custom.css b/docs/0.10.3/html/_static/custom.css
new file mode 100644
index 000000000..8a7c7cb54
--- /dev/null
+++ b/docs/0.10.3/html/_static/custom.css
@@ -0,0 +1,50 @@
+/*
+    the ipython3 code blocks coming from the notebooks
+    were not getting the dark theme styles applied, so
+    manually overriding them
+*/
+@media (prefers-color-scheme: dark) {
+    .highlight-ipython3 {
+        border: none !important;
+        border-radius: 2px !important;
+        background: #202020 !important;
+        color: #d0d0d0 !important;
+    }
+}
+
+@media (prefers-color-scheme: dark) {
+    tr:nth-child(odd) {
+	background-color: #202020 !important;
+    }
+}
+
+@media (prefers-color-scheme: dark) {
+    .dataframe {
+	color: white !important;
+    }
+}
+
+.hidden {
+    display: none;
+}
+
+.version {
+    text-align: right;
+    font-size: 24px;
+    margin-top: -47px;
+    margin-right: 3px;
+}
+
+.sidebar-brand {
+    margin-bottom: -10px;
+    margin-top: 10px;
+}
+
+/* unknown warning was showing, manually hiding */
+#Visualizing-Logged-Dataframes .admonition.warning {
+    display: none;
+}
+
+div.output_area.stderr {
+    display: none;
+}
diff --git a/docs/0.10.3/html/_static/doctools.js b/docs/0.10.3/html/_static/doctools.js
new file mode 100644
index 000000000..8cbf1b161
--- /dev/null
+++ b/docs/0.10.3/html/_static/doctools.js
@@ -0,0 +1,323 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for all documentation.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+/**
+ * make the code below compatible with browsers without
+ * an installed firebug like debugger
+if (!window.console || !console.firebug) {
+  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
+    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
+    "profile", "profileEnd"];
+  window.console = {};
+  for (var i = 0; i < names.length; ++i)
+    window.console[names[i]] = function() {};
+}
+ */
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+  if (!x) {
+    return x
+  }
+  return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+  if (typeof s === 'undefined')
+    s = document.location.search;
+  var parts = s.substr(s.indexOf('?') + 1).split('&');
+  var result = {};
+  for (var i = 0; i < parts.length; i++) {
+    var tmp = parts[i].split('=', 2);
+    var key = jQuery.urldecode(tmp[0]);
+    var value = jQuery.urldecode(tmp[1]);
+    if (key in result)
+      result[key].push(value);
+    else
+      result[key] = [value];
+  }
+  return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+  function highlight(node, addItems) {
+    if (node.nodeType === 3) {
+      var val = node.nodeValue;
+      var pos = val.toLowerCase().indexOf(text);
+      if (pos >= 0 &&
+          !jQuery(node.parentNode).hasClass(className) &&
+          !jQuery(node.parentNode).hasClass("nohighlight")) {
+        var span;
+        var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+        if (isInSVG) {
+          span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+        } else {
+          span = document.createElement("span");
+          span.className = className;
+        }
+        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling));
+        node.nodeValue = val.substr(0, pos);
+        if (isInSVG) {
+          var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+          var bbox = node.parentElement.getBBox();
+          rect.x.baseVal.value = bbox.x;
+          rect.y.baseVal.value = bbox.y;
+          rect.width.baseVal.value = bbox.width;
+          rect.height.baseVal.value = bbox.height;
+          rect.setAttribute('class', className);
+          addItems.push({
+              "parent": node.parentNode,
+              "target": rect});
+        }
+      }
+    }
+    else if (!jQuery(node).is("button, select, textarea")) {
+      jQuery.each(node.childNodes, function() {
+        highlight(this, addItems);
+      });
+    }
+  }
+  var addItems = [];
+  var result = this.each(function() {
+    highlight(this, addItems);
+  });
+  for (var i = 0; i < addItems.length; ++i) {
+    jQuery(addItems[i].parent).before(addItems[i].target);
+  }
+  return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+  jQuery.uaMatch = function(ua) {
+    ua = ua.toLowerCase();
+
+    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+      /(msie) ([\w.]+)/.exec(ua) ||
+      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+      [];
+
+    return {
+      browser: match[ 1 ] || "",
+      version: match[ 2 ] || "0"
+    };
+  };
+  jQuery.browser = {};
+  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+var Documentation = {
+
+  init : function() {
+    this.fixFirefoxAnchorBug();
+    this.highlightSearchWords();
+    this.initIndexTable();
+    if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) {
+      this.initOnKeyListeners();
+    }
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS : {},
+  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
+  LOCALE : 'unknown',
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext : function(string) {
+    var translated = Documentation.TRANSLATIONS[string];
+    if (typeof translated === 'undefined')
+      return string;
+    return (typeof translated === 'string') ? translated : translated[0];
+  },
+
+  ngettext : function(singular, plural, n) {
+    var translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated === 'undefined')
+      return (n == 1) ? singular : plural;
+    return translated[Documentation.PLURALEXPR(n)];
+  },
+
+  addTranslations : function(catalog) {
+    for (var key in catalog.messages)
+      this.TRANSLATIONS[key] = catalog.messages[key];
+    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
+    this.LOCALE = catalog.locale;
+  },
+
+  /**
+   * add context elements like header anchor links
+   */
+  addContextElements : function() {
+    $('div[id] > :header:first').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this headline')).
+      appendTo(this);
+    });
+    $('dt[id]').each(function() {
+      $('<a class="headerlink">\u00B6</a>').
+      attr('href', '#' + this.id).
+      attr('title', _('Permalink to this definition')).
+      appendTo(this);
+    });
+  },
+
+  /**
+   * workaround a firefox stupidity
+   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
+   */
+  fixFirefoxAnchorBug : function() {
+    if (document.location.hash && $.browser.mozilla)
+      window.setTimeout(function() {
+        document.location.href += '';
+      }, 10);
+  },
+
+  /**
+   * highlight the search words provided in the url in the text
+   */
+  highlightSearchWords : function() {
+    var params = $.getQueryParameters();
+    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
+    if (terms.length) {
+      var body = $('div.body');
+      if (!body.length) {
+        body = $('body');
+      }
+      window.setTimeout(function() {
+        $.each(terms, function() {
+          body.highlightText(this.toLowerCase(), 'highlighted');
+        });
+      }, 10);
+      $('<p class="highlight-link"><a href="javascript:Documentation.' +
+        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
+          .appendTo($('#searchbox'));
+    }
+  },
+
+  /**
+   * init the domain index toggle buttons
+   */
+  initIndexTable : function() {
+    var togglers = $('img.toggler').click(function() {
+      var src = $(this).attr('src');
+      var idnum = $(this).attr('id').substr(7);
+      $('tr.cg-' + idnum).toggle();
+      if (src.substr(-9) === 'minus.png')
+        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
+      else
+        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
+    }).css('display', '');
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
+        togglers.click();
+    }
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords : function() {
+    $('#searchbox .highlight-link').fadeOut(300);
+    $('span.highlighted').removeClass('highlighted');
+  },
+
+  /**
+   * make the url absolute
+   */
+  makeURL : function(relativeURL) {
+    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
+  },
+
+  /**
+   * get the current relative url
+   */
+  getCurrentURL : function() {
+    var path = document.location.pathname;
+    var parts = path.split(/\//);
+    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
+      if (this === '..')
+        parts.pop();
+    });
+    var url = parts.join('/');
+    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+  },
+
+  initOnKeyListeners: function() {
+    $(document).keydown(function(event) {
+      var activeElementType = document.activeElement.tagName;
+      // don't navigate when in search box, textarea, dropdown or button
+      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
+          && activeElementType !== 'BUTTON' && !event.altKey && !event.ctrlKey && !event.metaKey
+          && !event.shiftKey) {
+        switch (event.keyCode) {
+          case 37: // left
+            var prevHref = $('link[rel="prev"]').prop('href');
+            if (prevHref) {
+              window.location.href = prevHref;
+              return false;
+            }
+            break;
+          case 39: // right
+            var nextHref = $('link[rel="next"]').prop('href');
+            if (nextHref) {
+              window.location.href = nextHref;
+              return false;
+            }
+            break;
+        }
+      }
+    });
+  }
+};
+
+// quick alias for translations
+_ = Documentation.gettext;
+
+$(document).ready(function() {
+  Documentation.init();
+});
diff --git a/docs/0.10.3/html/_static/documentation_options.js b/docs/0.10.3/html/_static/documentation_options.js
new file mode 100644
index 000000000..2fa8c97fe
--- /dev/null
+++ b/docs/0.10.3/html/_static/documentation_options.js
@@ -0,0 +1,12 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '',
+    LANGUAGE: 'None',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '.txt',
+    NAVIGATION_WITH_KEYS: false
+};
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/file.png b/docs/0.10.3/html/_static/file.png
new file mode 100644
index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3
GIT binary patch
literal 286
zcmV+(0pb3MP)<h;3K|Lk000e1NJLTq000mG000mO1^@s6AM^iV0002xNkl<Zcmb`G
zgHi?o6ovOGdxdP*AltSE*&JruJwUGI3!FN?xxO>s`hMrGg#P~ix$^RISR_I47Y|r1
z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHD<M{a4P!N^sPbQKi=?mBx
zoos%BSoiGXjr-;%$QixXMOVNSUNp6L0a1Oz&cgu)wqE?07u5I7qrQIu4Fij)Y3c&0
z@0u_#NH6I?Mk(n;dT}d~^J<WkTLqp|RW-hV56tKpXqu)k@V{?amI+5DOlEU@funz+
kySsbM>fiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8(

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/DataProfilerDarkLogoLong.png b/docs/0.10.3/html/_static/images/DataProfilerDarkLogoLong.png
new file mode 100644
index 0000000000000000000000000000000000000000..a339e0f6acee7c29d438847b4cfc48957c6a3296
GIT binary patch
literal 20019
zcmY&g1yodB*G2>d6oy6`hEhUGx?w<&66qExk?x_T8>BmxknSA7p<4lA=#*yY&j0#-
zpT6(E)~s1DYv$f__SyT{&#oK#TInS=78w=_3JSKIEaVLe3Mvfv8-eivct0ohJ3>LB
zL6L(<s6h>o8IPcZ<5N8gDT=5|;9hCSw|9YWh`2~CSw0j)pZV2NOQTD3*7_CF=nxX#
zW6(ik3DNlymP@=(CK|5xd^u0+z>kFDf$ezqczJH#te+$*{nSM!cXOIm;#`KSO>=eH
zooF<p$#=K!9^UJNJ3hmiN3Hlv=%_R(|GeB3#QRrTb1eV;8I3qDEE(<JpSUTa`0<qo
zlVse#hl}#(^>ML_;_pAeAH9~SxG*;n*aij0N0dLWkLG>|j)(`k^>Z$1FT5_D;&w;#
z<nxR=f>PRSryIU1U9&!8dp28PBqepRyu8flO-Mw<bKxo>Ara@}bA_yb6HO&TCS$uj
zQMz{ZlENO+u~26{Gx0?!>AC*knaj>(OwIQUAy?7&ygRdvV+5j<f=(Rxk+w5+$m~-=
zm!0>CGfmExac6?AyH>Y1X|}Bv=N`Z>$*d;E$9XEV&iC#=#CZWTR8<|@zf$%-BrqQ9
zR;(T2e5Tdp^bDJvchK{$ZpP;G=2$^mn|!R(r@ICxaTK)wy=XKs`0<^Z@}*E#`!TK-
z3v!vG)*?Y=-{}AB90fxQ|LvnB!<#M5;Nf&m$AUa*!uPyrL78GTHzbChmCaL5Pbks<
z2(woXl@&gdBNc2|=4FZu7nqXbN3!@<Kgc{Oww|dgJ*>rh^6<}hQSOnTv7*}+C}j+L
zt>$TFx{f?3S`+Y<Sbt1*fvjH;jai?Aoc&#?L%g^ST<Gn$k4k5AjtlUDVuzY)yBRUm
zG268H?Z)-YtJyZ<x1@izg@TrjC;JTQak?|*a8b3&Gd!59;YiQ19E-;$dV9Wdf2eYA
zgZs}G#qBV^5W+G9oiDRA4ctxL?DV6dr~7mu5N1<!<L&~{=d!oo??dc*Pey|7{-;i#
ze9&UC=EK6mUT4jF4JJ2Ac(duY?)*4BJS?KQO15pCbDt?C$-EO=7t1Iz++NT&bXrZ&
zOs(`fK>fRWUm9FlW~d|W@UGaz&F9rxgh8_y25wp!NK?<g>xX5x!4bmbMs$7F@m0Om
zR4yMM;|BY`7X0hWVi#g<D&w`r0?J#@Dk0JLlz;Y~{meI=0LGBVfF4UfZcI}xPcv7K
zf(x6XB(K5wV=<pP{OZ5d(9_GkdE%e!1t|O!^?m4Hd-_KAiGT&>xHjBq))&ig<fbqA
zRRQ<o;t-l?&AmTYSVZ^z_GsQbQPgpBFom1?EVsI1iSizX!Jbw-{-1SzY(qn3gC>bK
z9}kjpn_bTtqE+k$prDl#d?>vC=Q^LTQGJPEXLlF3s#M<ROMKP$(5-a{J}%ap1>pa+
zT{s{s_*JiQbozdQ*o}o02QEC^1dRsD$^KvcsFKZwAdYJ|7l_n1l_0uR8+55SxW3;o
z=Z6eECy%a=*e{sHBNkubqYgp#GfONl$){3L!iv(BA$Rn-$|1eIiPY~&&|vhqHJvhH
zMTEF`lKSofy|+_>z(wcuj>3v42wH-v)Ve-UF&A-VhU~7_NkihC6|)k`ge6_3vp1zi
z#4+b%M`P<^>5&IHSsa_3zH2nlQkxJey4n{7g<+DAEW8oXf%c~;sP`CfYqpt#<Wv%<
zM#ja3^&U9xQj}XZmD+mGVHo&+ixOWQv=ln^6F_T3s=r0Em9vn`p_g-RjI6$Zg5YT_
zl^SZMFYrWSML<8eF!-6i;XN2GZ7%;>_(~ouIqiP-w58^)?oPKzFaLyq3mUVz!A#{k
zgYaY+uAML*4DEbT3giM^^nK{!W<gMQ&42>mW;cv-mR9c%d5>AZ+W%4fHHKY)1g>Ww
zKW6*WWYGX8MOWC9#19k#M?Z!s_NNWrZmh@9X_LSnQR`3I%){IkR`JHnMu;%x7auzw
z7f+V^uc#~vSI(Z9uluvvwG40u^S9GH)o;I@7mw)V*B?Xf<XJDjK(nRk=D<}lQQuFD
zPwb7QH)>O($@ddsqJbh0`XLq}b@A~a1kcTklQD`*N^(vNuY=q^mJgA-g*1dGg)Sg*
z8Kbu;zgh4#20Z+NknR%^TxhL`GrINWbmlY1<3@P^;i1L_h5cV4$AVx%iWj`NuzRUx
zjf_y^js4g0335N*Ae?$Y<Y7fl47qpoN9o)kWJDw4v`SLwJNZz<Vut&`Pg16IyY^$i
zmhCdDhqiYm_8&MxiPQz+LOx|wZ0?KiKX~8d5Fqh!*4nNs>KrroPGBo;wU%5zkR6<>
zBjojKP)f*nw^l^ROG2B<Hv((EPn9v+(0QfkVcr;Cq%WT^oDCg5!_Vtt6Glv@lWpl<
zn#;@p`KgIGX37{ukyiIsf@p_R?{u1HZEJbIcjpfhb!9jk;trG$0v}#ly?g}TQh<m!
zDb{Cnsj4Kr3qTt@zZOzL9D~Mciwa*^f{W_5Ngb&e$7NHrIO}Gp<Leneal(a6r{h^P
zOSCFq$I_SV=tRpe%8Tz`f}wGdSDa1xK31-hPm3I^UKj<=6<ugi`SFQ=?k6Pk#+Zj-
z%>j3Eo+JRtkY>r6Z=~La1umL~kD>_$Hsw>xn$DDcG8?umXf>no6y;6EgL|BbxEfYM
z50(QjFe(~PG5z?A{rDz+7&YbF)^aZps$=5eQE`L<C#^t{HNX`p!H8Bqr5Yv1N#Bs~
znMr}UCSXhuAN)!0kf-|dlk^Es5}2~^N#~E|-KOovMJLiss047jE5H>Okxlsv?W9uD
z>Snlj#jHIBI7z;X*gqCI10}lA$|*;R3tt(6FQ1C@A59aj>0x#jSv<c;MZ_^Gu6q*w
z)?Vl+%<X7`PqX1-))r&F1k)fT<oOs+MuG*~(_(7vR$>}xwJ^%TZ=uVev*QtMrVjU)
z1z9pX#)S%K(m=WS=mq9tZT-%^gKit0;C|@tN@Ko9&oIUJ%@p^;f~-xc+8@5Cdx5s8
z(M`yiLJZp}#RgCXKW1gnP=YKx`>H*i1s5hk-TU!;J$%vYW(eUCP0nZID1M2-=ShPC
zPg94pkkwa%$Kyg;4~@uvg~^owD)%KB%(&v0)Lbi}l2CF^oJ~8J%re-B3Qw!V>q7<!
zlfZbcEZvXy78WM@5VJCq!Y#pzLrsfBI8J~qEu@o94r;p5LIvXJrA&bfvE;^X>h_yF
zAeBu1YS#IxuGb;4*1vr40KoX45xoa4!bC6;?;oGNf^jHa*7*q<z5~l5$ADX|TTXU_
z_G-jG?0yl#4i=@5)}SAl{5le0x4amQfk}U=IF0qhc8py`Sk_N-2TpwOR(B({HGGUj
zT7CMZHgX`C)m;IPzyv-M93r|Bkuksp?tfLRhKPR&s?5d4>p6X@KgOqXQC!&n>3zhW
z$cQDPD6IG_#Sz`FKE~l59#KIvh^6Qa*-f|dtcSn1GM+KZvY{(D_qHitjIODuuzwtK
z%!_B?!kBFC=Q?$0itHa4U=!Qf;Sa8Y16W7?7(RgKI6~fO2iDo@h!9jm9B0@dnTrnT
zz(r2R!ADCQKU*IzOU_ybZ>QeYs8Z*yXvsj@gBC!THnR%4N!&_P)4bn~OR4el6oY6`
zw5F;s>|MgjHo=O}{-gl`i){*VW+p=QO-aa|vw(KM#;!6%vV_NNGxfHJe1^EvX>7ik
zQ2pW_-VJrVSMfoVL7R7|<3O-G_4*sZF$+~GmLdl*UQ1lNxRCx>G3<DT0N!kMQ8lr;
zx?0DbVaJ5uj~<PJX8RVceD$H_plTBJr-QiHvwSjJsjZXIDFFVnfQu?E(~f+N5%~{y
zngBzkE<ozc?kLmbVtY@Xjxn02qdtdrVWq74S`~XU7lF|-C%JI%wz4fRad3Qs5l6I5
z`5w1yCArK@crjxk3f4}FcbQ}6&8CFv0zo0SDJ7ZX=aWQ*1~bOT>Z3e!V@SrZq8i%V
zmWaAWY1Vb!ST`#(iq#iy&&cf9ph(`{O|*WrEMUEMXzX~{6FgoC<0UF;d2D#0<=~7~
z;WoGqhTy?T8{9eZ$hV_5L2DT9H9Q^`PANvD-uG21G~FJnVe#ZcV14M~s$FOn3Ge!s
z5=-~ohC1#cEmI<OJVTLcG>>!%3<Kgh#y|?w#b3NDaC7OBXU%@~)n%JIwvVk0?*DqV
zKW!cHh<w#g8NiI!e)Y9wn~9PdDhc7C8_$BPS&*8lIMzBEs%p|Z3;0)qtcEV={(0~Q
zRNg&jhNgVoGL&hHg(5&4=6EX8ge4lhTqmOD>3*zGbf#g?iY@bYti8Ub{5B)=$NZuY
zWa!OuiDj?S)z^OJqFmgOhrCo8v{0mPn=Hbq;LP4d-oT2R4qUfb+hh<cV6#HTQ7l9Z
zb0L4HDg#gdZCFp?+h=t_5hXZz7bvD(BF+vSzYMH+cU@bpjVcb+RT2#GVpd<ZB~Z34
ztVgJF6Trkqd2UpjXHy)xSP*5v67ffL@;3q(SFye8x<`jvjms8IZH+@-cEKKy74hT4
z1`^p>SlQWME?Upi4-LG*g~9P*5U0$t&F?yjyv=+VM$vSyOQxN#M0;$-ZhqA$LnxgU
z7k2B)ZMKB2Uri~-)onX;KkM~FEYqmn2NiqEXhOUAm=YI;`Ss@dH~MXIqr-|K=yRE#
z5TN-X$lhplmf6XxBshk=udNN2ldnK4AFquy<Lpd)QV&o;HbY`&cJ?!;&oxq?3KOLP
z;^|8OD-qFGSRxjyo~-mH$b>~RfbH8g0;mWIDs=H<_;E+n5yweLC4FgiHSjBP-o8!6
zxRpo#X~j1~052mJ`9{wldMCJ<`n-L2(woz>)_QCJE8V_7cG0wSSQnyMK?e<dVn;F6
z`!1al^UKCWG8=>*r!KTY9UPF^U=wXe#_7vRt*u*?J`7hwa<9|szIL-_Z*8NPc}5i$
z)P<81>PQ7_55eP=sh{{9hd~F+pt+UabGV}C<<Dw1C}|ub@~$wA4xpm<nV@V^4Unt}
zFCmPz#re0E(m#D~CTX;(XdI1%CW6{SjmaqeqaY?s@o8+FL;Ajh6Qw~%OBv|!0i3a}
z43>27CQ^SV?@0@xCL)=VMSD;PRe@!bsa9RkqYmi}E+w&sm6+aX%Nc{2@S`(S{jn)p
z27v3zKo+zH*=BSx0N{~;xWt7?>^C*`s_;Ge?}D`XIHc917<1W^s|#NvoGK;LPFH#3
zvDf{<%!F})_Eiqbu)XHR+L4F4Ecloi#y-+WH8i`oO>7-Td4>J7kYDnJMTECm-P&+9
zwZNN-_DyraL>1agKYs=D9b40e;_+wK6or<TWW%0z(>TF7V~xAD*5yd)#;R85ka=nW
zNxmsN{eEoD&5yM#Z~)Y?A;<5JXC#N!<aHmgz{>D=mGA%O_;=LB$@xm-oD_Y=mZhd5
zKU#7OU02wVZI9W)2j1EGdrYTc#U(JUEceVsZu&5y+ZyVRNvqu(NXp>+b<C~pPwM&c
z_+3;5{`aRv?O3acz5X3PhLbyI&Zg@Srvc>@X)2X0b&-uzAKXg-u)fM$9bmNW@k5vi
zC3=Sg>c^_^)MQ=eR}W;U8)LFz3VHxvY6>^F8mL@f(sI-+%&0ik-Pb8Ad{zWLmDDLq
z<Yw}ft-MI=@(&psx66Mt9L~9}&WOgoEy2)Q;IbxEkQGWOlFU>R0tzb%@mhWtUA9e9
zpQVJ~Z)Y__8b?6@%LA|_e^^~Dkf<w&^GD*;P44pau*hWHqPp5D2KX{@sT>K$h1JF6
z_>IREjFG?o(d%GShhu}{?Gjgu2p14dM2)uyo-@R;4Ys~ygR(0macKegKrn*Ei?QvO
zc%>+Ut2AN2&kCn77en7uY07u3KY4M?C2dv{Pso3xfIDUr_(=ZS%v2(r@|}_)z-d!L
zMnwx5>UwG{Uw-6yu~cgvjjUYG^hl<Wv@@c1s<Ef8V}RZ$<=%%6wB)LkVcxT{c;9KX
zvV7)DY;V)Ri{{RvKQ@-1eB87^aYtFVS-e<#I1_zS7{NP*Ddd?EFBhSEk!j(>j}#Ed
zv#HO*S$Bb5vDz<52=#rU%(uMMU`ceDS>vd&<X-!Xs1vE{nNo7W!poa;Fyo<;o3Gc~
zs5l@6hgGea41x-b`;bg%>`8?E68rhd_q`3j%zo`@T$*ms*4`aD`tR*itl_#4NXhKJ
zL1b;lW9M1k7UmvO^YZD#{-`)N^MWj;9j4RBu}o@^AuqbgL-2GLC5c(qp><$V^P9cG
z1&y7Q!A9NuNk2rm<+mbRT$o0{zV{ncttIQu*w9A_0@&KmtW$3Dhb+np`==ns;4yX$
z&b7#iK1I<PKSbzvixlljzeQ6;0S($_UD6$lZyWcYY6^cjst0_)fJoz@WmXr1TuzpD
zS5#eE=eG};GtiG>z53<W9`DQ3$~G-Jd;~7K;oaF`$pc_w$Nr?qAHl4@Z3Yywac6bD
zQTP<CoX)Bc4Nfi#-_|?~jZlDs#5nM8PSp3!(3B+UG)icoEu=(z9yz7mPnjp8Xmfp<
zP7<dQ*Fj$~y>)H;t5{yA+&CPIZ`N9akl159E$xza?k*b~azcqLg8+<5Lkzjr*fjT>
zBDvsp=qhAdpI&dg{SD59u%7MIR``e3OIW}0xM$HB8|dBCO+|#|(*-nJYT)q0=rIfm
z#wz-pksnyFR8bm53e5xut%`~8#v7R8rcuX0b>b(}2C#L5nbZDEO_$k->IA?x^duq5
zT+<bVu&|=@N)myumRd`u5l_Oz_jQD=t8EuWzcbkEUuU0_cNjJ1;<9YKE?JLTTs8aI
zk;6kmlGfoi@kN?t1lQ|hb;1RQdQ!6Wh4-8XG8l2{09-)yoTZ2>Bt#2SEZqQ=%3&R2
zKB8n7ix?NCWDemj4<?#lEZujodGlODt|j$gIg?IfxKq;s%xkS_^U8pvb-iejh#Ji=
z4nw78ZW!flAOfe95mCj2`m?*Jm;@Yu@@*q9q&~O5@!?cx&p^$3NDiR4RXqZ%CHNyU
z#g%qPtuMXsp4*|7n<LWIvuL5E7)v)_04(-rf`-1&E!(Uv&9`C{Jzw_RP=JVy^LXVY
z7^a_5US>Y>)0_<_Qp$E?WGdNr5Xamo8jT8pV6?iM5ovIOr2W-Bx|;Geb%`9HNUap>
zL(%H*JDsQs9vAdb0Xfs1FTwRZ-j(eNyXhu^xUeW0lmt|1fb`e_(L(>qiP1xiS($Ri
z@(vI(8^gdJ|AM3`pZy^0C9_atYkP5FSTEP=6mw!O^GksCHs&(xhi+UIemik~lAH^V
z(F%7>pTar&6vM)(VCYUTVx}ae;1Tu2-Fk-3BMBgx{K1NK0~~P%K;+|*{iD_6zy2JE
z4R!O&oS!}+U>dXs!pjYB;;H(@A9q%m^K}rXy0T4q<k?UCNMT%<x0#OP!zAq)x_c&5
zWYrm`keZp%<N;I#!zjAkXaPk|<Z9&N>TyyB8v#H>mpavg7Kb|DW@GyRq1FSXeVyGK
zd@3Qrh}@z{^YQNk>U>PxKXdMYfUBg^Zq&zy62sv6v%7x#&hU<l*-i^HA#2o{q8nAP
zd$d&M6d#5GjskT*#~M4Dt*~ncN2f_b;&XlGlg+t;vbxr~!iEMd!P7}&i=(xnHxd%Q
z0x8B~^)_?Nl=cCWsE``#8Q!Co=lV^_ck`9T!Jk9-I)v@4s*HQ0WIR_(b?K(agj{!L
z_s?uwFJz9Vu3h!@^*g>Bw78Q}`&@I5|NQwRFsJ=Kke~x+H$oRa(SHrq@4=B_k^H@<
zB7jxe@{~o8t8o#Oi1=w(dmOY%-ElKOyKY{3IvZ?C8_rFBTy&QDp4Q|YRtp8CAfYV@
z&z{levy0J!2Rstqf3)~MvfhfQYpLj|TpHSOvXxdz0Ae=g45uR^ShEZALwV7b=|B=&
zTaSp1mYr1gm{CU5&P3@<TgLRqMeOuN%DyS`EpZMP1kc=o@X|1Q%pnjc?UnQk?HeW!
z1}vH)bLzIT#;<_<30>~pMr!8iM<TRxBDuST^$?QaqsGvqK^Iu>ni*!~=0GLnI5dwF
z5Oi)yf{I$8<9US});#wxzwx1n>jF26<!ApO5ZG=mV0%{&SQsHwaT|a*_%PN=fPJJu
zj$O%<ByIJ_#Hv*?_0?1oR6{o&fiD>^*#feP1-u^_OuhP81*d;jSoo^#X>m~8xkfvx
z9|GInc1tHR<~@VIUy@_)ymOC$SKXLxlt{tjmO5mhNE9~0|5uFfMn`>vPk{%I7(7kh
ze`7?imy}yIUs1qkwLih9cAEpuHXDuI@_S(}vx|nCAYc}T%|~E$x8Y#?by0X_T<1eW
zboL%woR`w-myn~ry=rFLaUhXFByqP;Pev!y&Yn>}=%PaqW4ggrua?{zA`(*K@o0>y
z?nMJ7f7%I=dSh}(rm@McrGcL-ke&|47PibD7X_s?sLaZv`ZV1sQ&PMAipg-X0`%e4
zerAE?WwpkNxfH7)7LS?gYwBNR(bP8HSOx<x+CnJ-B5~uJ^+BOjOJZL~ANv+i9T`$$
z7<i&$HIWv$xtG}<li9SThM%TNf>dZ>KT^xI(EA7<#+2doX3F2k+fF5DF_-iqnz!S;
z?d`hZ-6i74r3kq1%Y7~}!sj$#c@<Xou1b>a7Hm9gffjzGpw)Li_`rbxvsDm5jQLVu
z$#mdiZMsb>Nd?*G$Bzt#@6jO?V7t|b(`BKJT5I+lPHPhrR(<855Z^Th=uDlpN5^(~
zi)arWlw;+-uaMc?K~Gp%Sf7i6)cymReX6gPmzo+t?(P*6UT<enIwjx$!wRlYQ}{fX
zfD^}@CkAlEM(nj(*HQM}Z;vOyJ-5K6Vf-s$ks-HE<Dn?PXTn1a4(fYg!KOl>Qg5!~
z>AIJv4*&<oJjWkO&paY>;|(exIZaDiw4Q4^Ik9cMU7Iub<d1!a0Xy!O?@>(Wk0E+I
z`-*U?G3Nq7ca|u?#{m+np%B>dj|Ku_l9a;HRzh`)uE{o2)BL`x^j7|K-Bt{P{I*sM
z?BY6FsI{VqA(n1rOz;`b1TlRuB8rk%x+#CJzUXZaNR0G9pego)=SKb!oCW8)ta_Q^
z(;2W7Ha4~vlM&-^2e7(<IHT;uT*HSQ^#X-tjwR$$M{vPouK=R?Zlfy4`)3Yz0(_Gj
z!A1O!yTa<;cI3w;Ow`P+*C0RDQu`&5lXf^Nfms{NHfxEg!@3|Qjh8#Cp1-EwMR9YL
z+WT_V(+a>`te_GlH#;uZZ-<FqB9edmF2ozeF&WE-%M+cc!;2f>l&FCOu?^Fi*o9?Q
zPCHB)t*r4hwPT`Gx1Mc87|nJ9oqc=zxNy<*rTN?Wnj3zUm4c7QQu|fsR|oJ;3OWpf
ztldz(>Op%4`iY&{Xk*hGgA?=9`r;5eO0*yapQ)9V1d)8on2XUdlQ)>gxnBl~`Xb;g
z3cT!a7WY9?@m=(f4pX%I7OMqpK_F^xnh8NPTMcw}c?y}XveKK+>6YUlyq-o*nX8Ul
zl(6PE*SN6RQfj5^lXnahetbgp{XrVsZfy3`4)!+{vJRdV9((&8jO*O2yR^PuH|`tT
zwLsD^38!h{3R-%ZTZnZA&%3~!KRk5M9;;!oVQ;&Um`L!K^ksPcMrZU*?3Wv$C_(_!
z;QM^uNALyoBwWrbs%(>`l(BX07J|H>g*H}3Pf;gpc-3D>V8aK{w^Rj&oww{nnT{HO
zRD(xJ)3T9AsG_!wc}Ta7SAT!c`Pq#LU=!s#oXA;mh$FJ1MrGn~-fU&YZ;c6RoZS;a
z>UgcHERxrHJH7qL`rFG93cAG=MV`;}{Crexnu_>BgD20nl3qc`k>V?pXGWfEXI})h
z?L)Wgsr~9($~K!>HH?7FvF+s2_ou~Mskg1_0_4=P8u`LLSpq#3!3Zk1iF#3h=}AHE
zYRspbUYILn%(4i$WXwmy>X11iyDrZRsXnCKEZTg1-|C0Btm?DD?BIwk?WVtFJKZ~P
z>$!`(YOZnKo=DVfn@e?-6G)%`SS57%uzt94KV!C&^0ZnD;iQ`qn;vn$;Con6#r+<~
z%YF;)kAC$DfG|og*G(S3nX2jQO9Dw1-#W~%A4{na0ghoX-&AV~j|j*Mt4y|D#PhIf
zqJ2J-n?Z7|hkdqH0ajMof(K;xEO=xL<_&YLwe#aN)mHhz%Q8-Wi?w8(Yx}ou>ybNx
zH;Hl@ZiSBcfglni4SqYDx1_kRK*-Oe>LL<QpGAb8QWlZ=0V^v`K}&$Qz=hp*uBH35
zKNrp#tEKw1@0^<B9M{ALR3;!1Jj+8yzB*_PS`U7oT-(2WAQC>FpUXTK(tEm|k@ee!
zRJPzW<ySA~d+-GF-wGuQ;li|AL8dKkyPf?_pK&Pnw@{rXVdmovE5D3=zW?BvbE$v=
zUIKsQC62^@60sW2EgRfP<q!SpKbLLJjGgq!=^2&XQB}MPWCnJWTASjP#VsbBOdgt1
zH7id}#O9*0IqG`_D3nh%xEN4bmVL(jYe0{XR+HgTrg(UH*sAY&L?N9w-COivo$nPS
zEU0kH`x^5^t9pb=f+Dv~2cLoJ;o*0nD4j7=Z(F_zyq*7$lJ2+8Wz(&b9UmW;rWA6q
z5_27%bxohFSM3Q-Ysgp=VcAA#F$fkG_S5K(8SeMnCtXW5<s<Ap?MHCr)tHXpMrnz7
zL_j)|2d{MT_{&c3{-0g|p|XfogwF`*%Wo=|Z>^GE>z?SRY6-5YMep|Yi7K)yW3jTZ
z3z#VBTq4g%@(+0*IhJTuGZq+fyZwbyi5zDSlU2#Z>T0n#!=p0IsiP$L%SL+T6*f6q
zd0c1~$eEu6tv)O1_H<NE#Qj*S`CS*5Vl4g3t4h(E<1r=Gd<B8c35$9i(HzGc2dK&<
zXI5pEL6jzAx`x^+80_9{t?P1Sy&|<_4sa}Fw-~u~7a!erY9?3cD^Ce&b$l`Y&i?p@
zKBm&|rT_t901%XkeM|m#K331cft72vX5j09(F6DZZAz5_ACQ5m+_Uafi{yc(mu*rz
zh&Vxqs=At0uLj+EiJ?H2<`4;ZZbtGFq?Kva^%~34{Dz4x78<+j{^3`O^>>TMXDdG5
z*JF5eGO(U!mIV<;PXb+M?R%u#ZpX_>X1*qs?39QN3vO)!VQU)Ih&6di;of+%X}hMh
z`g8hRtmx@?l#+4{q+x_jhPWfHBlkI%yIFQB#GYha4qtq8<WAf?WfiIfsvs6lUB%O-
z6^cCyDhbu0vR13_X}kSGZm9xxEGf)@n5aBRRs?6IlbBGQR0fg&q{iNa<C-s9I&iv9
z<Hm$EU(yXr6a`$N3T-M@Q8`}18*jOdX4nk{T;d|~&bwa;AMZpM97#5WJMCwLZoGfE
zvT;270Ij@PUZDO%_>)el;K!z=&-1pmfhwk@Tx^jvJ?6>$`m{5077W{pg)hj*{&K5J
z_%3#L-7B(yyy(Z?B;_`*(Qk74YN{v8XML`Z=!@*O&5E4@j9v?T**Q?>n75bvJsl*>
zcT*|&WxcyDjuS}WVt_P?HqZ{>*u;CCY%Y{I>=*{T!|~_>>2vk5(|)<klp#;8H$;n1
z1-usZ?iyL48KU2`Dr=8gRlCyzB$duwXAZ<PcsCuqn&j4USCp;?E(Fsb@#-@nS}M!N
z8thkGu#AN44wfet)N9AZ=5!q)Dq38EBqU|G`<IWN@86Hb-2yr~Iysqck0CuQPK~0P
zvr!q;E3v=i=ELtl>eF+E`TUe?GtP-k=U5-)W^ysUsQ}Wizo5!h`Wp6<6|#uq8<(w_
z-YAov5@c0+B~bW|<k?14P=hoF8{6kyaQA@JNK0K3NA`}jcIIF@KVABjWh!rF`}WC4
zv~j9+RN2)le~<`t_dZDY$0xUbpai<m;&XGwH-4oYX9DiykcD9HPFHP&f|wqYZ<6?<
zKO(MiKj<Q1Z*-n61qoPu{!#-uH71%4Wp~+bAQfx2o?<I6?2itWEje^+ZKqy;boC=Z
z|8Ax8S9ypm#bh{A>Wpo^V(h>K!(b!>D1n~|_CW|r!iru@C0W*s{SLCfR=cMk*gs>`
zin70cOZtxZjar`Zaj}zG<j*etRw2{hE)dC(10E&_xj&pp`b^(H+S8G-4$`tQN{m)6
z|4~52>v&^?VWlS$k->j8%EEq<&Ts!Njt!mR=+@;YV!`Jw5E@UE_M{y@MggBlwgxG7
zB_@>KKR`*Tw{pqny!A6K*pOrP^x@@xcu@59@tAVfVjaO3hjel+-fL%ff7cBbmiZEb
z89AJg6tf+NdU!`&GVv`3dihhGBFm<=0O=;dk@ym2Cbx#l+N#I!?UUXw^*t#)ylZ7F
z>jJF}A82&6Rfv?^?3d4x@j&bk9E_PTq5hb)>5m$rx)JmQW#okX8!A7<{SaT?$`9j3
z#B)t9GwYpwKyv_CE*2;3E5d6c)_{jzGpHT1^d2I`&7LlyE`+1za;&=_)>@+9T&Ea(
zO4(XJQ$Fz0(0ecln_O7g+yVh=UIn;lGjB#bU<yyc{adu+<=R?avQrk{`!!G<XLNb2
zfCEv>DcgLQ9^qIe7*XO<^5ebAQj`eH0Q+$VjycXudUJ%v7;z=#_mr9JT;`V0_uTcu
z_38g{YPBMdWLmB4L#VuO4ME%o68jEJ9%YFu3fG;jHz$p4N-fB`8MFMY>Ss{w#wr6a
zRv-iZ4B6ujnyKs}>)I4NSUX>3?K`07s1CHGFM4^H3-lZ{U`J&XtAY)$>)41_gvttE
zHNPi(_#CA1ggZD_qVsFZYsB%(l5~4$;j*m$7$xPknwqrLk(TMI=Ji#&M^rAeZ{(0=
zLHX0|Oce80I~^4@X%jz_F67#z6zL3_-dvn<>9Zn-$9Su=x$*is{557t$<i0<#Tw4L
z6SZljG&8>|yyHNHm-q|!oR@}lxtEM}p4Ibh{BijQfefKo?UMW6i7`a;$v#9xL^+}@
zSCdVB*!;%dB7rD070GFnJb-f#?}Mx`kPd8(*j*=Bz~c9s#3L{WkjB?#abYeReMUy0
zNim7PkPEF07JxvO+q8I}9*CP;dKWx-u+)s3;y0e?Bt<kgUzrrr>7#T-FDY9aQ8i6v
z%HDv0{><7L<gM8vxyQLagFmtau!&q4BrryHjBV}fnB{c&?F;kf<#~qPxOc2<_28#P
z;5zAz2-{DGVHVx!<yy4DKvE*w`?9aVI(WQ~<#1$JA(P8(d276QuWl<%YiaIf&a28I
z7P%2GSWL*d`V6IwMZ@|^ebk-H-EP+dQV~<R%U1E{(50x@YH#z^aOlD&mT$*6f0X>w
z|2E_-V&9|9_7ovmj!dgSMfF4_C4hmwck(0C?Cvo{U~8g;5zT*a3``o_c)ZMjQ%)LN
zEdpCj*am%_uWs(=XjeqNsAK<N-%-<QKDeqt%aofmW2kiXzf1q8yNCjn6c5%Bgw2x5
zYnob`97D10*rHI(TdH%qJD1kgH9IO^o8X|8E9m(1F;<G7X3@0wx7)-ZO!BNfVk{DG
zwnL5N_7r+mS$X^xj%KGHZ=cUhRhv`u?w9z2xk1}JRaU=7s6F?6dwT;({`4TBV3-7m
z%b@LHid|_>(LJIvh>xLKm8Emxj=_X`(CFzt<2@Vi$0rJXkNu9@xVLb+_WNy4ZRlm{
z=ciVlcr$EILk$O~Xj+7IDUaoap1h2B!ukF%GEUQRn_n2MlPB8YZ;KMmkARPRey$gX
ztJWS=Q%6E}w)Fe63z^NHm&cpYQ%3l@OW45-u|uDEmVcx+f^};<d>32XRtCh1xVJ=!
zJpAY+`5e?_62BmJ-#pAP>*0$@u=dZN<NkboYAJA{BzAO61*DV+-CF<EKz45d^ZYsV
zAvW3Zk=XF%ir|7rtQ0o?RL^upFdwr*;3PKbJ959JjUUsUuA0YruQ&WL>SV<YpB*~h
z?5sS@G9g(Hz$6gV({M>y{d$wE&-8fbGT`u^?ck~kK8%rdebQI<nw0Zhr!C_GzZ<FD
zOAOe-1o?UdrBLF{iBE*?StC(P(HTO6I3RRu=x6&#hov08@{`q7>0@e(^h%#Q3z>o3
zIR`CwJspmlymQXvFD+UhUbmRpScJ%Uarh+UotY=$T!zLSqzXE3sdunHxkV}1UH#0y
zR|~XOeitxRdGM#H4Fzo$ci$_}wf7S()4YNAl{=r(nyP*?=<$JHy_unP-ef(?yMu0g
zW%?in?ujyMQt!)gk3#o5bv$*evRSH6Q5)CfO-Df_^!BeJLu@>KRxypRTFAA3T0g#e
z);AhlE&uSuu|J)>(P%N-_cM^_`#^fU@Rhpo;h!!w6jV;s)<*^%99VqTv%j>9hV-bK
z5DT6+*Y+#jH{){DomhLVUWx?DKjra>80j-PcHJ8W&+U%Dcn)yfo@x3N`VN}Ug@rnz
zH($y|dmRUFe)8F9jc3tclvcQDDTc+<hMM%9?>u+5qh=Bf6C_|#y1vOv(sKtDw5lF_
zuZ-mS=U9Md9u~6Yvdh)0ium|MLfKdoA-3{GhvV5WgXS{?4}B)C&ctK7#81#%n_r5i
zvGi;ov>J(wdLX@=u|=zwiTZg={fcmpv4@sQW#y0BMxNx+Hic_)-SX&CUP~1iSH6Y&
zwcm<ue|P_OF?Qo4cpLMQY9zfb(EXnUe4|~w!Ya4Rg~4ENH$LSI31TnJoy`ha9W3|U
zCUHOQ>&JlW)|S^*ab`<Gx?^e8t)u1HDDYr}M6mWZ9gK4y8e7%<7c**>0u7&39q7=9
zORpq8(2i|wm8bmK@iohZ+ODF1JLtuh-=Ef7I}8)Zem8~1FiT5$%dJlR!Ag%$2Wh;T
zpX-@-4AgJ1li=MVSR0YbnE4(T)-HR@k$Rre&@Qxjqh3Ht-}b>~ljp?7g!u{Ajk(fh
zcA3%*;R&NcvR%8WX;RBT<vsX7PQX9XwZSk^+wT@)euHg0S&`G=b#-d}xZ^#`?W5q1
zQd8~cIDwLEk2{`%bHPBqnD^srehM79SpFjESZH6Bf)QRkZ+Lmj!k+#&>-o|O0uSgJ
z;-^N~>AO&-&Up+v6E$Q+c!w^Z!<!V=Kw=*4hJ^Nax>B`jhO-sz9xEO!N}yn@+xdz-
z+Qhe$*_74M)U(ej4Ufuw3SN$%)l$yXvK5M!+-YWks6~ZWCmwfj{8A+6tE{tWSZ!bZ
z7YGd{iBF)}meCnjn<;L0fP_3j1=LyB+eh9c8Lsoe=~Z9*lY=Kt5gIxSnYezMv6A7P
z{no5sA@sQZdThbuXZuRC6<d$x5)B3T4+8X@liW{p4!mbQ=4Lut%csvGE-H*<g9vl^
z@<m;?zABzd((~Jx^HAp^h6cs;|MpX}05t%OfHyFo-Ntn)w;t-<^DtGf-XFAGhTa#e
zqDoV0rkzyt`d1%Vq(+c+C(rPeUzF^p;*oV4JP4(iOSg+F&V$0Qb|0Cm^oDe=St|$|
zeL9#+UwK#`esOTFPn~|%^-?H{B<DxO`+Y;B+Oe2Ygg(y-(=+ZWpz=*>{qt`l@_sDP
zXDXF?|H0!8p9PV#maea@w;3nWng(up#Zn%eaNV~dodo!OM*i()VMbp+^!R=keB;)L
zF(RM8n6N6n?8*(Z*-=P^j62LG28E^>@XHq!B!NvM&LPB#XnQ3pwh^VprD?Vw)*FWV
zt01b>LOiR9vEk2~3fG7D=C0XssDU!h)11eDoX|&AKq@$WC)<d<^d1ti)>zdRfOkhR
zcrL~(YcMiG12<j}C@0gIzxu)WHE>AEk}Jg?Y8=XxTYyM~STv~U9t~6&!QM}E8t=;(
z;E%XguV_GR*>(9eVk0ih(&uFktjZ`Bs`zUcGekUGwtda9O{_0~B7q>wYtSG3{3wOu
zmn8K}E`>l@*nUR}B>EytHG^&=B3i~d+p8;2&5%w->r!p2ZGRg&6T=S!zmhWP-D2>M
z{g0wVVa+p!GC?Tj8`!Ypc+1G12CnjihB7@hlJAJ9((EClAL64AHNn5~`z*x3idN1a
z-(a!A=r}&L)wN`7dVkOVk1c-`XZ|gR^`ImVwMf_UTcd`uHDmB+>0cEoYD^@Aw+5G+
z?GGd<<%RKhAIEkTcHt}cs@1m0#Xm4x4#h71UY4{ONFU17npVoYyVTOMGhWFhcN92G
zZ1iI=%j^h$uIcFsR{6JnQ#AOt9eys^AK{~fqoA=r8iNNmytA1j-==C>OSLRhKtxpD
zR%t&NSLW^12z)QB7yFB>@y@vP-3fpwSC%Y83g6bA2lOVQhbBNJ8DrZO>t4*(*q=<D
z1mVH}oX3@07!vS)-H}sEYP#J`W-`cEul&NSg`-|gLDxxVy24IR2G}SQZISPvy;op}
z?^kgMkidjokjXyXq~>~YWhwiYRYZ{E;@*2)p`G5^av=+GBs>wy03udq(7t2SUk>e^
zpKZ`!zzeSDWS#ng&Hk8+-q?8sErc;swlWW1LujiCZbJ7%EbU0}{4qdZ1$^M>Wz(A7
zEo8f4qobpiV_5U`{h}Npm#OYt&nYA~zR1AI<%Ma9O}6Pn!`ktdEPH{ov|)~82xH6)
zVOFcePyYmMCxmg8Dgo9PLS#^DAE-&86W5naE!WMs1F7Q<!7$y#DGgoLlhImo=EqdQ
z{;Om_*)b`w?*gm5(1KxOYk_$NEZ2<}MB9UZox1#Hx9y9OXDZ+vr2?dL8D;U+k+Qut
zjB<xyRlYQ)!FRee0EXlGC7I}CBtyZRucTITYB!>SHijQmCY@=N><gxg6h8Rlk3Y%%
zRwN5YP4)$kyB4?4GLf&E+jZ|Wrfk5QpL%mDwD$FK&xz(`wW^x>KQ->rRy6?z{}D$<
zQmg9y2cz&#f=V{*m|Z@`OqxDf{+c=)R=K4MMSNvh@a=t^Qh{{Af8ELG_nmwl(b>%d
z`K~8yEgy5~r21(_?JN=Ll1tvC?Jg0eOa%0nCiN)@(|W%$Dw<Z&wGcXhtYF!`TMqRH
zmB#SbFy_AO)Jn<eqfZTbij89q`bR5FV#Q_9%PC`$<uJVKO>6ULuQjwwCDd@WEfWTj
zSj%^Za*?`Z%LK{+%N-2#z@f!_ji<Z!B$uT-c7z@<(ZD2)nODMi_lbBiZ9weH`<Eic
zZ>j&DhCB_OpX>Gc0h^4Ws5>>{t0#;3GbkcyJUsgmxYt^t5UY}`t(|<PgFFigX4UZR
zkQqN^WPw$75{%GbR|Z(ds<AOaEI!fe%)K}WkZYCuu;h=g+{r7hMW3k!gW6l>W%(&s
zUht-jQ2$T&dL@3d`yppjK3?iqujD0T>GK8!i46=HQDdYf=Vb7elkII*0SLi^>uOp6
zXB`yTi&Yly6sV~~s4~2?k;7AI;90TAWAd5vmA}QPo}rQ~+YakNComb|@vCql@-oa(
zQA-5Z&MNyauA*Rk0WUT$TJOHo{3zx#dBMhKI}Z~ZrwKq9ez1v-R2HVK;|WmGnFVBp
z&2rHBg-b3Bb6!@d=DkhL2Z7n5;$z5#Yi_Bm78g*w0hGU!i967(sgqzG@RmO|>lN-;
z)<^vpS6@q#{;{rm1wb`FBeq&)ujOoEoA<-dLfbcw=Bo-96*Hi@S0!NvSA}(NqPiD&
zOwH+4q{mP1XLV8P5PS{ndn`{ZU`ia`H3P`9w}#jz)}oa5pmSHC2V_Hi#8Z_g!3!!)
zDWB})0d#ZrVTSI2ZHoyIODIo&3(ft9e7yyrtej16_)&pw*W<Pe-Hs4O=MdHg8OVn?
zA_H0|&`Y_@h8J7HVHHGACzW56p}4#+gJ#=d_SP{A65B~YZb<R|$r2Bs=n%BysHv@N
zrAR;5IW4?Ac*F>9<fdf;w4Ed32N3OT@z?0oT8vk@?#(~bY!l#p{VyIqiU)KF|F}M{
zIULjI2nLnQP3Ya|n#y#{&jk@p1#}WrGrNz!w$8&#l#K!umfYzz#e8QcK}^C_K7cYm
zC$2|nR=NO1k{z7@7SNGaw*TsA<-Sz%)Wj%#CiGX#%Xoq)F(bN%Y<1jr|MsBdfEn6s
zOqHa)nhjhCqtKC0f=XIh6yhM%iIXJ;$bM6AnenLmnD)@TAK(}=aBhYv*Y^QZhgw3L
zsfu9N<tz4dX%iUXrX>B7)N>2jB{s*Oj!ivHjBg&zC<=1|b44C|&Fih({7|5-82`_H
zzhU27K)02amM&D@6D=vPpL3!o*~%w@nP3@o=(UOfJn0!U(j=7WOA%%5fd`Z+p|1+o
ztM@aK!8-i9Byl^O9KF1C?eQ}!*gG?7;wwk;Tv1uWVU35B;|=ZPQ=>m#96;#9AXS|N
zF3WpiyfjcpqqX*zf6U4HcgW#u{_W$vj9p-D){T+<EoXZ+(E78Dk<WZgI$ZP21ot}0
zCUoeSIsohp!8EAErwB{n3AA5M4C<D$%pZ=#(#{3M&iJADp)7rA<jzv$K(5T2Re(?3
zJYD;&wUp2cfO;^V$bIwag!j|Ss-RRcknsLD)8F+!PMp$&VofSu)BbofF?Rlvf5}9^
zHv+?8Y2FY05!TgR$=$v6vbC2(CM>B-CvB0em8qdj;Ns?o44LmkMrr25f4wVCdW;pg
zx!6gt{6pv1w0kQuWFEkoxMLD;+VL?<KpR7<@V#C%JJ~I0-TcR$67rtyccY4R;y27y
zo!9uUf%pXdE278eu9L?$(EsPw(K5ulfz}NS`!FA1td0%PRDBApz%WZo%kc29FdbYK
z`3{b-t*tGc0G*nr@f}N&K<ox^c#g-PX((_=WMk=L`Fow6ooTTG$uxxK{1Q#MGo++u
zr|tL^mTlMiE%_Db2Vw$1*!I?4SsnD(Q%7@|4;zqeRi_D22t%Kn;qyZ|0_Bj6My3=}
zzah;tZFxZH3*YRh%08(Hkg|Li$R~OLdEucexf~jrrjZ3XIX07u4|>0h8H;VLw7Ixq
zjGQ+hmJ`NfN*_9v{t~21!lS?Bb=b$`<2}pSQ@T?1ad9<PQs6J@@S#<Kp>zBcolPzp
zJb`zil6%>m1Z!bd@3g8IT25p1NO^lBMrkzsrM0R)0U?+CWXFJ<u)TlXWdZ((P$WPk
zbAHfYAjOKz&!X+4O7_W)=qwh=jIS6OGqq|zsE6C=H&>3m^w}SIh?I$<uwaCLd-TVN
zprBpT19L+6=Eju8ZW=t+=dWlHKQp&PZj=O8<AV<01#13`q@W3>&>`?J$%`Y<gs%2~
zk`<<X8K(p}9c9FrpQM_fT$}q9%2eia=f*%!WEFui-<?EDzP%QYBg%71QrXUu63V0i
zqMM=XEXM@C*03BlP)6#3ZMnC*SAKVM-x5(qIj|b|uSCmY5CDSY?)J{evcu<|PDTT6
zM{6mVB;Zh{!R)sq=m@|X6OW592h5f+@$T3E_$0g2#uHNHGVf_0EL(`4+Z4l>Am?BL
zD#sm)2_Rm}TwwHo+Wyo$!wlZciZsntp$xedT|bALcQ-L|mB!Gg0n$rNYBwX}`!G4m
z0nBO|m%*0%qZ^<0=<%%W*DrW`u+$6p|D|~!KmHe}y2g?7Emxr|S%!`CQH`;q_?6TG
zdUwN5q_7a5Ubj?I)-N9?&$ihI)+4AhMcp+eZq_RBLPv22JQ)d))4UhUQP_TGO+x)&
zG8R(42GSYz<u-oIdtK|PhA4Y;QM<<Lmp1RQ*=tvLTMS@pkb>pzb4uZ-6VU?3i0IO(
z>N`L?(51N)4bC5Z1>*G8AGA_&j6Y?&P(56cgZS}(gCsj(S_;7iZ@6^PbhAx%>Og02
zyFRQwA-72ue^@sZ2~ahJnH(_Z7<VOhIF@|TXxpkSyiRTCrAvZSAFeE{qNkSa#bW{O
zpyf6mpWf}}W^XkQ*lzB`SN=rE`>W16tKg~tn+R2RGJSvK5hd0s`5lk!#(H-r0j;+C
z@$hK%%dY7gfWB!ThSoW^n8<d$tJPwacoaEbZ5TYm-k7sM&1*eN7+%;7)_$Y&1{hUj
zE9SuZm!Ka4u2|&b6Yh~}^Y58JN7G#rWt_6;%`f&{*wHXw`<|YNG!Eh#{xj|k+#M@W
zDM1NZ7|L<Id2O0!s6PJw9jJVAfQ6`6UGuKQF#2#TdWK*jpVMt3r^fpGT_EUZEvKft
zE-`y7iNak5;oK=Mi$~h+8FyRx!d<SG0&y{1+F>JHDBkciDs)+^@gd_@FmkrFnak=)
za4$V+7c#u8@wWBWr**5Sn9<N{b-a4#*wuV|7+#R&efh{`E1UIiaDvf53)olCJlr`C
z=n$Jb*cmmqtuuDHI2w?*Z8_1HgW4+4679uqOomNE?8&OnnhPe5&wDhReSVaokGtBc
z>s?$Yw9RLhuzk)2L)g7%6PjEFXc7!>7SwJ5eM_Z6XZvNtwzX~P9^7Q}Ts6L>ufJ9M
zU~d^=a9iaV{dwBUr*DYi_kdLyr}^FC4!X-FDa%z-mrvubOpjf+Q91pe_x?_--fIRV
zj>NBiYRgw^GdR1VELt|4DdO?DXZQTwZq>kZa-pRr%%eH79s`4VG?jmN=zl`bKC={B
zsi1U6j|(J=wZ>=N`~`>Zh1=8mT9<9pBG}|-&!eAd1%pk-6AI<i0UIY_^gDm2ufKo+
z360HGczk4A>mE|IZG8u10mI8+hyCJ|J39ZRqN66|6`C6~?k!+Up}%~o4~V%gU$7Ii
zYQ3JkGrs}x^BBI-0gpaK2$k-c0tC*d%~2LBZ}#Div@ULo!Rr9*KY;5i4!Cy?6EK$7
z%?SeC<7}6W-)>P{Lf_sVo`a5_v)6i6mJQ4^=UiT1`ZYB*eF73dR=1jlh70>1{1neI
zf;+(Z*0MMQITd)%G2~->$b)DDK5Hiy8sMumv@gl-mp3F`?7fzSG(@&;$zjPG$t9Xr
zd&)xguwv-FNqpiUuWC5tjIiW$UdtAhmy`H#`H<LmwJ%k`Oa~HUc}u4w>;+G#bk2XU
z0Xw+M0ET=8YM1ge%eG6ODYTYsF&-5IxdkO>t?!CruSx#kc(xls?*`U?hztyN-Cd9g
z?XMQe9x^&l6t4U=3S`m6GM+72K9O0n^*%}~wgtLjS{074NBdp!ucA)>4q;!@0{KUv
zN-~{DIqh1J5HpbVe7$VE@oc!oZo0<8(&OywRh}jAynyB3&jr|R8HzR-%n+)dN#(J8
zFz>vsAAM<*Wm&DBroje?)H+|k`(JKm7QZ)Sk&T@_DHw;8Eaaxp#uq*3Hoei2$_5yN
zr!FckuD@Aj_nBJ%$%H3qeZId`>T|t9P3;ADBSB-PpT2aRAVEhiW~vVVle7J#|2rJH
zxjflEJ74bMGp#San7RCt#;7mgxHf36#J?0Ur_n+PK1(sryjbG&ikh-g=bhQxrrxmb
z@9&RgZ11hJeg9X9X<UEjAqBBV5`>;CSqS?ovxu=Ja~gLm$`i9ScCe+qygS@jI-7G{
z(5QEL{r6Yd7eFv>-D<q2`&~MOvodmZ$~^1lW+j}uZN^%P+idt84m?KS?t3Za&%aag
z?=t}-OIvTan%+K7ZW6n@_+FkSW_#OWL!J(drtY$6luRy9;B5WPsk{*Ty~`e;v(znG
z<Z!Zj2xNP-WB(366lg7oNcUX%#b9Hh$G6l}SKfO0p?ev%`Gn*|;?MZMpTzGFak9cF
zSUHUgIrG+u)S!XEZs1rK=dQ!r=UkatsIMwN!{_#5eO3@Tkzg~EDQxOcK3=Tpv-|(n
zK>d3SsOvv+q}Z9;YOlYp`Saen3vTAi6~NAy!)?Q4L20};STlIA+?_?ZzjCwVT1I&j
z12@o~QUE)hwzO@k^}qaUwL|^@vn&4wRAd?jzM2iDbH3di&ASV6+f&;QyG$~0w^#^8
zC|`eL3k5>Lxs<)OyW54iX$h~twtLO=Nd?Ygr=h0ilnIm-Y}+okij5b%uI3h2#g=Dx
zmICRXrwf@6r<1M&5Lebo)c{m5CxEkTifVSB<+JIV6+T%T(<s$BN!1l91pUo8ETC~c
zhaQm^__T08{`?jQtEI}GIClXplUOSMo6_E#wqt<?BDJf{DBXv%9bKA`1F1<9j~foU
z$;mac=BB0owMIH%&ePvm&}OzF3ZSpsKN}s_jn{@#ng=aN%F^uSOcy+lhPvsZ_}^_$
zRvOo1Q;Vi&+zQN{#+w9B#9r`QO;*^9<ttoGf4!@8=Tm4h8XN#zcg6o(Zx*0OM<#mM
z9T*}&&5&}UOn+t-c&x(n`BpEF!t88uz@)f=?#r#KQ=~4R-QqXf@BAwfl)&h-Wa*5J
z2Q4%Zw4Uxbyi~oLyejC|BTZuX;sS857oTUmb434mFY(*o!C)KbkZd#zAJ#qvB<Jg&
zcwKCG8SoG5>!0SbP5yndMlUuHz%_Cz`5ukR!&wB)YuP7pJ_3!%fxwieYLH^J@gvi}
zYU%KMc5pY^NW*=xc9AIK39psb`{{TK3(%mwP<R5+)gAx82YC2iGXZkEGv1L00quJ2
zBY;8Hkhz{Tv>5PXk8Gn$|GB;I?C<Yg87C)DoijkC&4GJ{2jP%5ErdrU#3u&O%e9|A
zV1L{G;D7u2_4FRbJOyQgRWq_+G4f=nc+fL_vVCeT^z`o%uYm*Hrk;V-rDMWbP}~{Z
zlY}e345bS=3QsY|Anu0`|BtAMQvnDt)FCkhN#bIFhROoNlW}aAdo6eKv_R78Qk1~+
z$Dg}?6t@HX)dO=@hyJ+7SO(lCQ}$w_yM6_k-bL+fU#48Yi!LAZP`hSqw3kx<OD_cg
zxuzIrXtJ5U+3)^#f}A;nF(nEgl#tNi!Qqd>D*imNq4D?dG+*~KI|DPReJqUstL6It
zna<<*XuFscNqEec-BDAi+|9+(7=}~f9NHw4N;zFNy3Ab27Ax|lu5!i2r7tdOk`Tr$
z-|ivQ!zpxU^Cd@FTOz{Ez4o|m+#hhif8L+>=k<EOzC7RW&-4AHNyZE-u<^_6?~3)5
zX3w|+95gEVNVf}SQ?mJ^*V7ZD-+SBFkD$WO(6(Bu-Gj`9<tc5!mG+1G%MRSMFYVII
zRGEuaQ1fG`Y-vCRiiiDvAjQa>7(Q{aJ?dLsQ@hdyAd-q=k1k(QfxO_Wei~XG$75sT
zP&Y79RloT6ww4{EAs)k$ESXbr{Z-a%h1-En6C0K`XIUh*j<$J9KWLhgc}8o(mMI$@
zTXFM&I&>c2j|AC(h~s~CY<7A-i7)0OwEhziV$ieD?Vt`{#JL#MYWA<o*%#BAVL)%(
zN%v{Da?nv`y&Qxnrt+g{6?)``O{6Rn{H^Y);ugu2=Jq}D`~oeEvSwxftDwQjo5U8e
zDFV9{ZvExa{`}z5_amK-u>-=C{Hmn|t`}}2=Z44$FXOXO^nl5oirQF%Dk(~{u`B;i
z3KL;zdk^M!ZC)NCYZg~~yYEm7m=K6mhPl$_s{{zw!%iA`vCb4EoyB531HeD+C;>5-
z&1YMq6K+eco2xSR6cfq<|6p&4%`5OD=Nmsi{nuSJzCZt{!4{uz)jgqX^;jxA#`)5m
zFyy^Oo2Jn{_B<5`DYSC<E!&r8V(frcl|_agXnyQQdm>}JW!nw;THYfO@dYXY5M&xG
zT0yEMGw(O|225dFh$Jvz9hrR3k~rK^B=lFEbNGUp9|`yBrZ?uGq@`hxU7^VtSIgU{
zcKIi7pHAwKOi7a#=8lV8t}jAS5yaVSrh_x4HM{|XIsZZOGDm(;;#}USUmZ8xWad0O
zTKMxvLd>Y4(r{>#dbREJC&aO6CoP&UNuZ_j2uZ96*~ByKF)Wg9+k&F0w-~0o5p1Ie
zLVd8%v*&AV6_mp2fNvfkh!$5*i`%(=WDBLw3Rn<R$IOSuSzAAiBYL7a>W=0FRdP!E
zySm&Iar?Bs$AZeqNs#X&oz%nSIK5hvri^Aa&e{iWI-$WMP*TLlItsJul--^br6{*|
z-=WV{!c7Siw1cK<8TLbR8~Hc>pP$;ZR-q|VX65A}$C7-<SKF>|>w_qF2qd}(Ug+3V
zBPrOSaw$S9&IS9cEhrB8dNp+!#+Q9^Eok;h5dKKV$)@z?FiU&wbB|6w>1@fcs9Xs(
zsbv*SW#Dnk>;M^b?lo``=Sb2<V}JUUzJ#VU!{DnJo5`FAI11y6n4JltTL<1f!&#Um
z0+Wr7+N5gz8hTpj<cp!i+b;_@<cZ)XRF2U;MuQHy9B;akuFHL#TMRI=`^5`se<eM%
z9b#tH>Bj?o{2!*DQz#T}y?pj)VRdz1PYsiI9{_6VW_?NDLww!*L|cKZb(eGehjFhO
zrZmd<4FF&-V8mbE`!I4{cjZx>Mc2*r8D<gCqfuoxl@60n-O|H@oNfSI=RO4XEq5yQ
z*_Zn$FT&t{2`AHWr0UujHq6nD=JV<IXk}2vTqW&ncv(#0xm^pH9e<nm)-12nIvKTU
zYsB1N&I>GG4~+XkbvR-7yI>^)pA`qvo}!YClXX%<8HwTHuR>jrst`pW*&c!kJ0h9>
zG}R_fp0{26dv2_>KY=3K!SP&t59!c`IF!{H+U`pMNFOuC>uxYFQSY=m3`y7`B$Z8Z
zNE$qgi)D>AaODQSX9{>v3>@IBoqG%vV1h@2J<=CnD8LEU)(Q`?SdVHM1HwXzQ~d-!
z(ZKpj7IIDC`LkNuUrj_ap5at^kJqd~(#z`7OM-XhY`MhM#jO9%E7zWWSqF{20j%WK
zKWmsdckbL7{@U6~()*xgeuLZ~?0#fqB)NGT?3lh4)g_e8n9Nmv+%<VZEYNra?zWP%
z#De71`t*v%;);sr^FaXt<iY74Q3`KRdOv@VFBG~eV9&zZxsdrayoiwZ(^US9eEnQ*
zoXGYZha5U6LhI;c^!4rCXl-qqltvk6zN3|#6#BZ=GGT@X8C1eMsZc0n`1zd=qA$q*
z9;t6nYUB$CTJ!goM})~&&sEO!-U%!&odG!KQ|O($ZD4jbz7Ti>hexY2%^XwTynaot
zX};fLj-dg|^>cu6wq<W#^<K()tK968@SlnI%C=eV8Qr*;Os7aI6(FL)h10g^Y6P&e
z^lDG;vDQ}A03cXpbD%UGXFL^uv1Bv?(A3s^!<}kM1<W;!RUjNwyQ&pSMhgHWwH-;h
suyhi_SI|$FFW23o-f+NZnfAQ1!RQ~8wi}QaKnxDy<?chi=enQ$4-&r5_5c6?

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/DataProfilerLogoLightTheme.png b/docs/0.10.3/html/_static/images/DataProfilerLogoLightTheme.png
new file mode 100644
index 0000000000000000000000000000000000000000..35e59c3497b6cd5ef9248b9e075b3af25a7779e8
GIT binary patch
literal 118089
zcmeFYby!r<_dYtLgtUaxEjb7x-6b8;HA;wdcMKs?(%s!H-5>(eCEeX2T{CkB_4ECH
zf4_V0zxTP%b1yQ_9M0MM?6db?>s{}=)-gmyNd^n!1qJ{Bz><9{sRjTb-T(kdsA#D0
zGeN_r!T`WiBXbD}6<G-hDisIYkLFgU0KnUjc&#Ve@3csTT}@)D5b>h$uJBC>M5WPK
z{CyR~)Wz}NlDuL-CgjmAdA~#xN>Cp9Qn%dqmtU|mQI9owkDpvVQE8*ftupGTBasZ4
zXNKcw>WP=Y&Z4I<;DY~_QwO00M>M<kZ3YQp?~BZgE*fWqXGw_6b^uf_Kk;7Kx4|e;
zs5>2#2L}MvVXZ~=dT0|A)UWbV4Gkd5Nj*Zuj2wvD0Ps!3Fgc?E1g}Ne3Y5Ps_-+&&
zzR4jPY*uVnfeO@Gv%*@gNRU<96kkLJB=_zNIwFi&2Y6{#QxVUPdm~r3sK1Ox%rZl^
zuM!<17EgQnJNWx|CT2k#BgU7&05{?vhlfC`ZRoJiRg|}|h%1`qnHm9~eohqOso6tj
z{_Tpob{5&i8sLc{YowC;7LKJG7g+8q#w68o^vAxQQVXo#dLb(BTmdR2+RxK-qGg6r
zFxbl|--{ozZwB>=T4CGg)l#u*4vvmQOP*1EX+cS6XIiJXbS4gYh9|3=O1k+Df8&XL
zMB3o^{`C2lMF;ck8&e+)8B17!_7BopSczm>8tN-Tz*k*X+3)~uVk259AGNR2s5MM@
zjvJ_^n*)*>4=%VhQWHfS;ohuVG8D;0@ri`YsOLQcKkyCHh_nbpVsp7KyIe4D_HPua
zY;a}ym;ziRLw{EXG@(hY;iW8AyF|a1N(H(oYd%XTnmURnr2DjG|E-8huBX9oRzWo_
zZ>mRzxNEq$I<jvd6hDUBeqG1?;T3v{+o=&QW+N3@l`npT6$i>Df~=>qG0sE2P6)CW
z)srSs<i*-FvGCWIq0fY4MbU4NXz)~??gbWWNoA3oiD27vEAvF<8nS6xZU*$>68n>=
z0KhC$x)ap4#jALmZ=q`j0An^^iMlIgiYE?6b!1yv1_{eqbg%qLl)f@Z<EPtm36kLa
zFka(&hOL|yevc!4uaj|_G$!UI+9<tCx0u4p6b~jG)E+}WlCj_#fpQuzBFtZOb)Qmw
zBG>IrZhUUn-Ih&>O@SzMFUqb(+Q95O-O=y(G5}~%5ue-mPGx{Y?q$!OrJ@0`K_)dz
zNvMwwrDEBfgvJ(jxz|zVy;ORjUBs;}zTRi@A4<lIRW-ACWq4Ip8`=ae2m&SFB|LYd
zJ#er*<kkCPagN}ViLAUVF3J1eHqy2L32?!B7E(Z5j7{PiYV}1whK1e8epO5K$GR*E
ztxT2Rl8_KU#rxgs%Hl+Y%Lc>`8TUhac4)p?#z;s=BHr6QovwFcGHyda?`^&c-;?z<
zK-wI$%0L*mp#CLQXM-PwplU%U{wyM6QZ(Z!iXYW8N#9pg6m$Vj9O%<JPp@mp6p(5<
zy;M+{I~}S}%buimy{W=HM0p}g%ZsSwo7v@Vhpvy*um;^j92Et+Vcp>&Q&T&A_DiDC
z3>I1sb)&JOBMA{Tik74!?-zH#W6F{INR1hVVM70nVlMO-jR;jxG{H}uJfx<;MVaR4
zj;QOGUnW#&e<3=H%4A!`1@vb1?@GQVP7h7U!W_^4M5r5ZEJiv;u<L&DVm?Gz;-15I
z@4dp%3&-wR65_Bv&MGp6h~ch*YPmAh(!P{65pR@(A0Ab%ym)4-tczI3Yo7#Bh*#hJ
z=DWf75^Be^?OZrzx$$l#hDl}-453$i1|UXqWJJj)Nx!63$9KWS##8E={3Ye4NQa*+
zDU(Af7{2#Ia9v>?e_eWA*a)*a;3jHTh9+7;wjz&8O)x~6nI=AZI{GRqB9=Y2`K@g~
zzX{7XM!uLdv4j};{`k$MP2<hMO~y^1P~n~oe9@3XG$yW>gD)4DhU3EG*yTi~eD~jC
z<uJTEFFG&Q_~o(Bv`@Y-PfkuwN)Ar9=f_WX=hxuBcOKbYoN<@o%4-^HtW`*fsgJ9V
zofdDA@{}!{B;U=xc<O=Y&D56Q6XO#J)lAG5P)jUi`ITO(SH6(tsdL>#AvJ0knad+v
zDOss@lC><=M&TXW9w4lhSt%mZp$n^mVnKwFzW4=+wTfkT;Rh_Cnqg(Uh<Qr>l=f-h
z7fh^%=NYfPes+@7KV_Hb)b5-e;qBSwq<O*j;`i6HugqVsUeu9Zz94<!Nm}?qnWy57
zu*G8kk0fjbiW=XhukOC?>9;;fJscw(<5fM~`#}a2SG^{UvPB_3^A=4q`?+JU3s@)7
zCcP#J3&IOrhwZqCYwSNx4!ucE=RA0B^IFiZ@x9yaDN;9>TV~i`h+x<(#g?n%{j%8y
zb39Y(8f`QCiJZO|^XC@HW=->FNu~{i-ORIcMs@T1jZ-JA#za9Hoh3$f)gI-;<+<hY
z)9@83zqcl{R<n|`zM5OC%b)*d?P#U7P(Ob)uQL~3mujkIc3mpelVJ_42U&vWq2U3!
z5-Hsc*x}g9<cehO5%dwx5w2;wO4Lg4(k;>|_zBYIMs7z)(}7J{?859ui57`r6-A|$
zr9Yf=E&I^Eqrvbd@VIGh8pjuTZF+2+ZLVcFWqKo6$>(^_ZeO;jKF`(s$}hAZ+Y;&N
zckgn&K=FmbSWr$VMF@K4^!u5crl;X$j;EBz@TJ9>$J)_8+u8D__hir-*Yu8Fre<bj
zyHC5ripPqLh(HHx2bK@dtn?xB75>$8us=8nrVpcqo*;T5g(6}jKRn+hN}_BOINkfy
zH=Z-TAS3eh8~XYaYpngJA5qLuY|)ROR%5RP{rW73R)<CS<rvNTyZ!d2{gqutP*YHU
zH+Ep#8mgU{qu%%G)1uR}(<`*@;JDyRylWb38b{g#8qZv>oR89Vk_0)%Ia-n{t2(F1
zt-6LMBpt76`f7W|jAD$Y`vilXL*o11L`wBVJa4f$Oy|AlHP<&54BqLf4DCo=P2%8Q
zE42S%kG@gTC!}=oHZ9(bKP37!pSkPA!DiK_X@A4JG_^RU@?wwT<l?$w+llX!ngz}g
zl-xd7H|KjF_hK#zo~lV(^hSJbN5><WR@fc5=w}^l6&|-=zX&m7Ojcx0a&r2%Yy#a3
z(D__eTehS_dGq_>g%9Wr&{M*t(w9Y>#f{-9VFi&(n7<^8l(K`rgXXs2FxG%U`~n*`
zo>r(QoqoSZe^~2o>#)1+*~Yo+HqNs=!b281;*W$B2`}W%^R3^p7Aj;;P&>xQ_wyH`
zDj0CpX;ILwWQ#r{AXJo+K0Wgh+sk{9cJJVAY;3+cs{LjDq>xl0QK^HY+q8H6xw0IM
ze0yfd=(8cKbW<TqXxV)YUrob^*tW^2dAg;5>)K+4yXv{iaN)>kCQQEAb8lcm3v+_#
zHLzBj*LJPjHmALqWs)s6ap~sG>B4Z>sZ@;AQCJ&MrQSoazP3-r_qLpG>)rTWF^((l
zURsw+ofB#KM}uC8*1Agi>;^vGQa?itSg<q`%Dfsa4okjFl}&Axg36Oyx2^JBx3=qk
z)eY38YgB6}9vn`yfv!Kaxk2jotM<J~hj>_*Pe10`ZEPuKr|$FUSyjwF_=K4Z4wtLy
zky?;hFgM^e5ZZdS3OV2Joy@Jw9CIwFR&Q)5?Tw5WgtW|CKrAd>Q%?*vgQl4dny*cc
zn`(KyY~Qu%L8iTjyb15Se72w~;GcJEcYaAo<xl3G9Dr+K_TALI*=MMEAEYI0a~rE`
znA(arPLsOJhy8|wd|up6j?hlaltjLuG;sOqVYOE6w?W@`uWQ04#OR<bXqCR`ald&J
ztF_QuSC<*e=e)i1GgCQZJ5AV!VRtCH2Ehy`(>T*o@Wiuy&3`mdqT}Ylp=hb0Z7pY|
zr$8Q>m?9wUO4dT=aQh?vltl!zWgrA*JJ#*Hj62}5HCf(mWoo^>(CjKF?jVBAgFTnY
zzo(zI+_|!xB(Id-4&OF-r?;oeoCK|OoKo#|9R>LZjZ!dCc<<`oBtaX`LZ)Kp3p11>
zon%}<ci!Jm3`R{x?>q;f95=?@j)glS(C2qMfy=+!41k+JRH*LR#KqQ#)^erpJ^tNs
z8@tyMtl*)1Z^7VX_C%>e*%Ouro_{hCR1!HtnJUub)y$>B%R#j<c)MQ;Kz))Di_{4c
zK*%aY>TE<l!6A4pl$nC7m{}sdD)K=QRKx%R?62iDS2*ecW^sZfikj&WN=iK(UW&H0
ze)*E{jL$IRh2HDg-?+=zPg`pNzQ3M!%G`E}!g~GuBCBM2Y!JpcH6|@fg3&w!*h&nE
z7j?PqDQ-evd+!qS`3NCtATO^T+=66Cg9p1T39jIxBf(T#_M@UAfEj*_20%f;2Oz<Z
z5a9m+2rmFAe~tkFIRw)GI#xq?`L7KkT(g)1kpH#Og?~T(M8QAs-v7RlV!i;L!2iOB
ze?Dg+{--tKO%~FBj*%Y44?yglgsd$5`<=0asi}?QCtIiPNQN!=33R)+I*tGU5&h!_
zK~|0K6t0>a&DFJ?v=tTjjcu*jKbY7WnX<cC+dbX~An3*qKeRS=`atDoZDr%g?<Pd^
zrv*R!`0+H5hU!lfCrcq3ZABF-30ntKDsJ}I>>M=07*teLf(|Ah`PC$)|8<A|B}DVd
z$;pl%2y}IIWq0Lbw{<WBzT)HK19ETzIXT(jE!Z60ZJa*1vDrA%{=Lb6?jvdHXzXBa
z=VWecL-lyy4@S1mPC_&^j|2VJ&)?@Xbu<6(k!&3QO$$Cj;NunGD|Qax|5Z09^N;^G
z-5#&}?e=G0e}@x%ycxfSqp5?0t+lnOjg#<yueji!k^Yy9|NWeQJF1wwnObQ}n!|fK
z!sjH+^M>PJumAnZ|7A~||Iw4@_5bYoKd$_bo{v-DS9UOmKj(+XH57g&2>d^t``_EE
znL659IX^bnurYTM=KR;?e>?rJmmu(QTmHv3{k4HVXW>R5j3Eg8FM|@sSW)hQ+qWn{
zR#Hse4dJj2GfQ8?`$S|XIyMUTEiR%z-5N8=n2}o?Gu7;Zg;-YG^-2Me$AVt#C#-o3
zTPEvT$jkzC%WzfGnk|wUS{JI$G^(i{rG==i{%hJ&O2HrH849zwuc)Ef@k!IP?MX79
z*~bxukqo|-^t3j^j=E{X%(knO>jlfJ!{VtbKLDEV|Nr~{)fIS3?iZa+s!I7py>ccw
zkt_CQrv0ieTIg!l*u==l$i&M_AKKg7EA4X@oB7q@CWpAKsNQriL3LjG!S?f;2-~G*
zjWfRCg?j4+4D(^~=X2G@eMNn2WcjU0^n17GJA<!|7Mo%R^RPEgZz>F0q`CQM99Vz2
zlO>!B8L&s1CuT?S*nBi`a8SEDeI1n6XUZzMfaZwqpcXxurhGKRoA=620Dp&{0r)L#
zo3pfg{MQqNO)n<!cCwi?rN?e|v{vgnA?rpTy&!MEo9J8#(tLhyVMeEjd=Q(`j_#S)
zQy*5=L5RCR#x|6#L(@X}a}(upWP?i3J!SrDO3EDpAW^JGemyTJLWjnk(OP@rKsGf^
zYae(OtyiU81I@uryf=5&p=gL?8#qf6vfen)i)_H<-=O<NGf`4bv>v0_$0^&FD%l$D
zkc9kFyf2pJvp=t436L><VY}X|rZ&TF;3*_eFmcPLRnc~IkX6CCXh}BVl5KjcRYhbf
z`>^?X^in5c;j~_EBkpWWX&v|Mv;3#9l%&n}^u%j6^U6MmTUum)gmFwIn4d!FoX_G@
z_xal|rU!YB`64#mgN^JBU0bZgXU4kgi$H7k!JODU@O~b+(e@V8+OBCcSwH5|t8&n}
zv3=)UY@%8&#YIi}n}d}g>cox%HgDuXG+R`)J1J}TWvie2`L?1k?BU$`n?Q_AGx)4&
zC!^HyC+ARN@95GrF}ptR?Pjd<^!1{n@`qmi1a<>{S#O0i-UizhLy`4h+C0!PFpXHw
z2nhj~L>+Ms18X1c&TcV}^1AtY*%NdXZtJzt7)0rFL)<Sb_&Yj?((qxm!@Ke-mr__-
z+Ggf;8>i+sB>W$Znl)r{pI8fxYkI!1#u}?Olkhx8H`32{z<e>dH!D}oI=HDF$KI<b
z?N1^DQ=lUFrL80r`u|YV^Vdspzp!~%edj|7Ss1h`^ly8%1`}7re^*lY+^k)996MLu
z+c%oCxCA|WL{jy50N({|Dvzz9&t86F`@sd55)7f-X?H)oLfl+m(8XXp+y1klPI1g@
zV5`G(rXh8Tjl6ktb6_Ij!rH@PLR>cNM|E_(<IqqiDES8;@kSE35t;?ow|$LS!|n&A
z7w&?x>eha`e{Pm$-$S3M?;togh`t_xg)9m{E|Fi2mZ6y2u!U~hj@%_@-X>Ev({56e
zJG-!_@*Wqb4LFeV;8J{fBkoBvYJCT4Wcq0x*t`oGkz#qnx6<TELgEij8BGGO&9fNj
zxw8j0y^E2Z5guh?9(49vb|;zdeCU3t;p2EZvr-Cz?3aq1MMskLhZ#@Ro$_+x0{r-7
zeB&n8MPTP5uu1Q$IYyEltFKG%J>UAq*bkIuS^S9o#*qAsIG6IPR~LFPw%Ds<h+7AR
zNBfsw6})7-neKGkudty%P|kq{JdIEc5BB|d5?8~Fo$MV;Gzb!8@Ji(p)4T8R)wg_D
zh}AytFpd=!0FjDA0QoKYaLeg;%$aIqWtsP2+OFpgg+IH?etv76KJOFLACDhgP|k%N
ze&u(?>FStz`2H|BV|zc7G7~~wA)*hiupOYjP;R*kvf7^x1Ge8J{_Neh^_~n2`LmvP
za=vjRKUZLo71$zt?;F%)y0Rm`7{<GQn3B^R7~~wD4D|3hU%i~f$axWEr7~z;U4wVl
z>N8}C2mIyuyfP9R&T?Z6-M9;a+RF&<>W(Lmb)X2WUv(e#Kg*uU1#Stu40F$r&1nTh
z^ojwHMSamv9j_{3fioca@meFGy}gGXuh%=KdX>?I@%rIUar>d`ESsi$Jhc=B#;iZ@
z?e&78VLYEgG`3TCC-|O#Q+Pt~Mze?dchZAG^u#F6f%YHB{SR<vGC>k=D4l#Z512<1
zn@YgTr(bxyE<9K6ml2Kp{!G(DdG*^MyC;1c(hZ6QoR79oP`Qh#CKB3<vGWOr%e8j#
zITUi%hC{nn(htA4VmKn714r@N4KdQ}Al$4<MNkW<`R8w320hI<cQ|(|71`gNr_3M{
zw#)7b%gv6w!y<onYK#=|;q6H3@<l<-QnB0z4yRwS&xd2UsBh<Z6T(dc{1rxIY=Ct~
zrW83alTQS+MrtMlWL+z_@1fkOI6md$f*~`SjRk?3iSEG%l}tc=uyCf}XXsu&RHx?S
zux@?-FNQa`00i9KjLyfIjps%R-{D(`k=^W45n}1=xexlcvfMFza3U&-XwbnP7r8kn
z>wMU7&%%xc(Rx^~-m#no&&U(B8Q&FqNo-ihN$h6+Bsd2i&}8bhT;B=o7v&0v0#_$=
zI#Cg+#>o9jE89H|O@W?sg>$oexm=TFr-AWC`>)D&cL>S)fqa)zI;F%u&yXPjBHNT8
ziALxEw)-z~pN)4z=a!5IxyAE#eZtU}co&geKORyojt`G-uO|}QFQ)I0TWl$YUH>kZ
zFoGdDFC1TOa$elMdM&VZQHZKS?()j3OGmj^HO(_#_OdPAjsSP-mOJnj+vNj8*PS$M
z1nt4y=RFh;Ngw=ynws~w*eG40g0^YfvrDXt$b*ERW9wrb{iyqC#Su`U_2BLkdcAPh
z?O3rtvqDAiX+LS)h`3)!0J&{VU2bZd1js59lVL0M#dFBEOtPDf7sbu5)#pUld*r-_
zub?qB*;udH2A|k<By=m#GRmYTRxfVDOCK!7kh3CbtLn3^9~Z)-KL#FywRA(H%iGhf
zu1JP?{<<x<AJ+))1~^)h(`a8kwflWUeVkrvR}rC!9BR}+fhDlcTH1-<{bJ>AF;3)-
zW*=MT!jERVkusrEV#XKew)?k_b`7!=LWEGxUC6^?hTBt!w~K&}_x7gYICUN0Nq1d-
zP6@l|yOpnVH?Hea1~@7$o5$72S<ut7#SFefZ}{butI^%-H6ji}XybHHORmg0_mW8-
zd?!n5Jcs~e_{xiUj&mMaiI+^lFXL6Pc_0s@8ST3?6C4nI-Lgk<$JjOC#cTNja^8uw
z;@#soDs=q|zJ>Xoj#5A1KrGscHU>{6#;Ve2<bbg##}fzMp3v!3c7Ko%vW+~DCtV9i
z%2qU|%_E&>iq8h0MxKvsV4b6$D_6X8khF({VEaL3o4Iz?cR?M(>XmPHqdP+f@w;Ql
zt%@2*FLCBhH+BUd<LxdILi6?$#|_~AVcYd`q+pHdAi^O^u+rIh)u0l;vM}IRI`+g5
z?KF{KQ=mW3=v8pRI~)87{sa)3xPShi9bCI3sC(b+cj+&~^cm_04TKa=T`ha|*WaJO
zu7saZxUFioOFjyOi-^uoCn@u7Z0SxD{V+#NforSRJsO3<W%uU%%*rC1?#*gttYK%0
zzUm1UG`Zo$#^0NC%chu$t@n>UqnqjweMG>^NyR*P{l*XaJe2DRct|7@)1`X#jsRD-
zP-;sIL&_QBBJw@cDB<pkU#*C;2;`U7o$A2os=L>uADZa<3WBQ4j*p%)(@KjU>pfCN
zEGm*1_&A^Tv}*3n67{?j8i_Q&z=0-#UC5Ojt=H}bJ@Vq0e|zm_mKEl<2SUkp@6WSw
zymy@)mnyq%#Ik0P*I%esE*#5yIu(jEoAk$=2tzI=f#Kw*qO;7W7_Sx(d|;;KBX=s_
zcy$-c#4BcMc}+|7S<DR*rD0z&A6~)iAY!nniqG)nQjO&(hb(#aFOLdd#ui>ZfBt+f
z`71jO+zh#BIP7f4-5-AUjW)vldUQ**re(>((m<0PeGhlag)Nu5LuLK~S67{S&O!EV
z(5LL6FAw5OcedhLD4a2@iJzT<iO_g9iRDr+mS^ROn0bgMsC9R<;hj=av8#zR-sb4z
z|L4pLkKu9nnXLallOlli|Asa>d)7d!RM-y!Wx?C2N}tQYCc;PO_$Z#`RX3bh-afMh
zoK_mjbaUyuB0sO=686&N0ip(ORMGT@{q|Rp_)c%lJwGV4Fqt1g8Y;`a-Q#AFWB!AF
zyrb-k0Bzs8d7<SkRu3KVxlvkb7Nvf%_f0ot#Zl9z(HyFo7{-o)2lI;l0HS8`;e4#~
zND=0BtEDDnv$tNH@oy83Z*nugcflQRMpiWq_DHba@<c_fDF=JxgX;y`^6Tw4dQTgQ
z>&?%5=Qkon#Jp8N6(tz_p<HaaB#pJ7tL45De`bAUyWBeO+Ht=mgw3}ZMVt~(i-Ros
zJ{bMs_yl?k&VVL+dQ4~3#kd*r(V5Oh%}^2SM{{DF876)=&uo&01$4qLCY38i&WE@v
zN!JHaB;fuG@T)*O&8<3^sf5`wX1LMJbuF2}e0E%Y%&fJZe3gS+Re-$ja-u-J+wb+v
zF|?uIF8LCBt4WSc{5$WwiW4^V_#YNEi`y0puZOAcl=bCWOGaQrH6vxV3-w2ZyEoN;
zm3}RiXap3>v*a|{5D5=3RjX4X_YH29JqyL7?rhjk=HSD0zg-Pwso<^nV9Lvz&_j5=
z8yv*jZ^maBj$^vlo9#?-2dqYa;GBt3*wjUU?qqnflSajNyM@13fcK>uvqWr7>9Fpr
zKZgfmk@8W}%tUgC@E$DEYm*jMJ!35D32#NnVD}KhxGWb`$g*>l^p$_HK8AguS8Gbh
zYTN1!Q;pV5NUW}=F4NKFOG#MH=96$(v-3g57GW`lvLo4xKP)>2us5>N?si~(*_Oz<
zR|*w@-fVOj$^v*_!q;(`APWdMlByh4%g5LHEdTqA*+Gtx(SY1%*i2^07O?1kT|3Bq
zl|0XSshEqMiS6cX3A`jYABP>Ui*WL*b?oMZQP3jQ)n3;Su=&F?1D%UhqWl-8a0xV8
z0hh)Shp)o<15Fo_CdlVIqNB&}Xd?x`jV@A!s`_`5F`h!NJ79@uV)9b!Ec?veN=*Wz
zrcaj6a=&Lcve4kvY$V@H!jh%dH+O#6w3qw@dwI1g*$%izJ)NZC7yc6*;ow0f+I$hE
z?6n@-PjTH1^*Ifo)aMG2kko)rO^o{Vj;9r><jkDPyQ`=<Vy@qBzT@`5A}mwM0~jXv
zVA;6aV*o%fOWgu~`8#(j`lbgh^@EL!a(ph$DxhYZZ!u9#D>ir^`DWHW^4mh_h2F}Y
zW_9_nlXs2ai+6iiuH{E3q=v9Bo~0vzz9(>sErFQ#mVt;}U)ydr_Ut8JN_d2as$ZVR
zw$(&-V4qVc528NNR%-7!cx}5_?!kS;3woZ}k-m+y{F9^G5_js)KnlKwTo2eDX5RG(
zrk=aDDK!tDB#PO}XH;a)Z}F(+53g+oglMtgV?9IOHE0c*5OvC@VnT9UH1N}&EfUp_
z*q1l(aW2><Y^P#AN-gV`&3rY2Epo?WdaNJzLE{FP4fGp#%$bSxBWVO#P=tmN1;D8w
zi3egHNXE8t?ThU_ORi@*?4<45upTlCN1!k903k5U^6o38K<qer10eu}e#*hO#x`J3
zLG5J5JtL1HpYclO(MNreu#3Qu0}$*bY37GE1`hT|l39d^Fi|t8%)92Mck?^2)=FZJ
z#Bna}xAZ+reFsLsk5_OJcoEb&XO`(rSVu;YXs(W|Z}`BK+=xg?2HR}BxA2khwozWN
z)4>tyn5Db}o+Xh(S+pw3z&ipfO~GHW)7k%-0fa%c^oCfKvJ3TE8kTx=a=n)84Yz<f
zn$wh-){mH%<Z&{5HUpnc9`I5QzxI(LRmgnn8n?CLX`nX^Z0L@=zjUeyfX4S*or3Bt
zG$7eQ6#SGU5G#Y?U1B&;vEx&v3shUpealz?eS_%j&?tX>j=YVG;4+Op3-jHKlj(~F
z6iq5)dycr8El9Y256k{plY0X8a(sW}o;1JX)xz{iBjLOagcAnwNToUPPMjZsi%I(D
zwld;yz1RxEksuuz?Bkb&P<jr%x`e~oI@$VPxgq+VhrsPTb)^jRlaZN+G5E$_e*Uy*
z%SJeH7aQ3H6T#(FMn*=y^g2)Q$C?IxOxjk=#y+SZABphx5LqUuk%U;smhp2&CG}k;
zJ}g#QxCt7|rUxZRC;hi-HKMDbkv{6gDOPJm#8<9fR$s{<e(R86HzUIt6Awb0r)~R-
z)yVGJYXz_Kcq@J%9p|3|Kkv^}1~n>XQSV$SqT_d*@wa(Mw;Z1@eEq%1eh%I+FPzE*
zLvJ&Wt_3CUA2AMqSdQ+sCl6v~`(bLJSXb~eRTnl{IlG~eTwa}vjEtHH;JbN9>1K+P
zU=L%tD2^z*h<zHUTQOqfvg_zw-aWvu=?+Pnp)oAl;WVU#T&KZw%+fVh+P&{fQC(d&
zem?rldtNlF`NryTrRz?p(A{n>W>5gGGy)=(3e|hcQ9{BX-oXzVGx2Z3v_6Gyq?^pT
zH#BFbqXu<QQIh$%EJ_IRYkTS!%~out#zsPEb7>fNjz6rw!GhIU&e(w00*MWElUU#W
zP5TaE_&uR~$e7=YInF4C<Ptu#eKZx_eFlez4&>vO6JaRf1XKDh>Q2<AGq=zp^5-|T
zU&)78tvu4R(l8vDL{`W?c^{YlifqsrX?TNig!;T+8FE8%$oo$C4wfr&mut4yd*TZn
z5v;|2TsEpPcE9k{H~E3Qb@ucvv-yx*o?JHTYZ9tQpb<s>8J+r)B@FcmA796DZP3`D
z;L`}<4=<VW(v(Uc6w{n9K<m%uPz%1#3<{<p!0<dw_j-sy56HvlFCP$^zt|VS2k2IQ
z|IY5zytZcwUNQ$;xXztUcB6^C$Hs?C8v&xRs#sd~-$krNL*&N}yO*y)S_JyigL0z_
zdLmNEYAdV(P|Tff_xNtZGs@fsCNDUn@QF&h7b-URXIq3cRdZxs4M<L(j2K@pwLu^a
z;QIz*txrk3&)|+}i08H$EpwGs|02zzpXDWPLO&(?H??sYvzL{dQGLz!`NG>gf-YQA
zq_WxBu+5w67}$>=l8=d$b47>a+mAS;e-iPcJ!n>otxdqYOwCiAidhwVUMda_WM&90
zeyxLidrs5X=Qtzt+!;E#l)6x>%V(3O-dERi9f?-u{hk#&sdq<wTh+~)->{4Qxyei9
z1k#k+a=?8vT+lEgwz4I+jd0g;o%7PZF<O3L9yTrloOHnP?5SULzX`f$0c@@_a#Ax{
zY+Y3JeJ7gwd{-f5)4(#f-`0-(Z1Hxu4-$*OOx(7YuKNznWwXvo<H)$Utb@=>Bd@>%
z!_ad>WpQPdH-zri7b_sBd;)8+H*{MMx)%3N=~l<#*!6}_0_~3psIVb6uYR14RxE)1
z{^0NiBC8p6<vLSgV0W5K{RVf}Uo@Zmp)kWERLIM@girj1fBa_~zFu=xiu$vWoa2zN
zXO$I<_C6^=C{CD|CkboxFLGc@qhJ^$accLTm=b)1&iG&kAC7PoP3^C%YS4@U@8vVs
zySpkULVBy8KJ$|kxOoVUc!@2YLUuv3QfonJViN7US(95y;eC358J_1A@`Kd(;Z*1j
zNF^U)cn)eZk~*qrIfky3YE}Ah@m<Fj(@H+7JODDYobS_$xn09~P}!>1h0{hA>f_^k
zxl78V9j{6=*y`UF>})Y5=gEbB;Z|m*ZTg~d|J?!1o_I2x1AF_%n=|JkBpwW+mUHfh
zZ3UH=l&@4lmx3rfc5gQq^;nh(#2>c@;AesV9@Db7Ngk4EgIgw?>f7Hh3uPmFv`GWp
zqS^o$oR@^}OMym5JMOu>3gmxb{rb$CY8tc{hh0ZyjYb<&z5iv1JCvdBtL6!xUg(&J
zF)_RMI{2`<Z~D0XzM`Q*yLuh`y{W-G<j<T?{Q(PaITMWNVoH@|DyD1o?&ZV0jFDb>
zk<p>4M?Fr@J1jz#c8R+E%~5V{F_a-uh5ZT5k9|oV4IojXf)=lPPnRhKo2u?POKj9Y
zHn__u!pDdk30f(%N9VH*O}t*P?TDN;m-vIDR2)>u``ixnv!bEVhv|^~8Cqi$u;?}b
zyT${V`Dhg$vzNa;i+Zq%$ot&9z?3^jKu#B<u6Xyc+(b>{TY(Bc?Q(&sW6YhrK@JSi
zt@Avc{WjC*Zm%xYw)s|s-LUnhd7@tw|8b{8-viKILz?4~bZZC<=0P5kPe9+uea|B$
z$`~H);p}PqOZ0OV_omqi^g<z(Oo;rw+t{<vo6S~QzIWWZQ;>;YD#1}%goRMLa412f
zq$TRZsNng~yz`8K>kviQbt7$E5ZWLA?G(j}S_w>~JuZjPQv$G|qQl5!R`HMCw9@Qc
zN<ry9v!6z+e{uMkU|c^Z;vtwXBh6NI!=|D|qw0xGEvx(Ga)xOZEaP0n^{7dpqIth0
zaU3}1v!wJC@vku;&_!8W*&YEix+pvQeI+WMK0ZFY0uy_^%6KBgyQ;v!w=;*M{C;UI
zQseb8J^PCZrW8xrp>xN2b!ixC9tjEQ7HPD3tD#<l&5|QLf8398$9eQo1QYEs>Hv^Y
z;{Z(8MF*+L3Nx@Cyk@$sf=@Q+k-N{#sZkKqAFWLpJ4?vjm{?GRW@GeBHo^R}xF{vw
zM@W<tD%dXRLIzX3DFf~*+BkQ_CS04NjN3V3?046g?2YgF(&s7bd9i+?{sA2lDnu*2
zsrIW`=(>D8(rZk+A`M!Vy`6>4=U&v?6?}nA14<3_;_7E~dIooN$KMty`p>xnj@#vl
z7hhnu08a?>#|WMkeA<02Io`p=d`6i)YQzpp?Qq{^+etf@b2!d)-u};oQbnQI`i>A#
zRUP>(=o_J%;`V!GEHVfye$fSna2rF7otJxHdPp?QD>Fgqa>;=u;vK;`?P@!^1FGRj
z&x&6vswiV%boJDSJ-++-LJ`OwOkxDW%zGV8z5a+V95=`hH7*n(DWm@Kl}Lx*p%a#z
zENy6fH)hzhBp(q`o-|t^(VImj`dQadW~@IwudRD~{c!R2>V|vNvOtB*6BzrMNQWno
zp_QAs(C0EtG7g@GNzEDeW_d*Hl1Ie8F4L*mCgD#9<~jQPGcgt1qA*1#<Gl~&pA6u0
zdam6C{2+;sJWsFU{UkHazbT57!98ZV{aYmh`YD40Q3LnqypL*<DBQB1qlFgw?<_nC
zSO*Z}G+(ia!hU2c{srqbOwi3CQ(>9|C;Syg|7QY!t!<5lqu*sByl_E|G-p9a_U?M&
z<>dKXo=WnsiIQR(!&vi|xW1yqkFILF(ryp|G(0DBZHwx)giD{k{1U+!W?3xl_Sd4x
z(@880{oB%P>y(@Y`|2hd+RV1QAnlioUwG66R(+8y8dmK47?lKn{{YeK_-K6zB>C%0
z9C)kBcDYb9(s|7Lu!h~IldN6ZE<BGG?|E1q)I47siRVp5mwV>AY>8d^T#YTqT77Fb
zLtb$!@9DTWw=K|AUeYt}%{W-*0baLJ)$4#pTvOJ0T-ruEDq9LXN&)!qmw3_o1S>&L
zGw|=H(5exVua>TlcHUv!hb`2;>;6vA+jyl`j(J4)i~3XB1Uy8~<{z^T#?KV7wCj=E
zp}2#xQKgNobqBI15v7)fyGdtxrF2$m64S5}jZzEJH&$+=AA-vHBh&7`e{%ovpCQA1
zUwUx43Vt)3>+m4&FcHw_Ldl&=e_Y1cfVa#Nb*L;)J@LQ91)1Z6JQ|$jUDcRtCe}_4
zEex!~)=NSfowwNidh6W7a$)ATl%5x_Y8^VD)`N+_4!}s8664_?{y2+X6@M56$;a{i
zO~3FVQ;-C-f~I~)sJ_1%`($L97iCYru1xmFt3>jyah0nwb3p-_m{#Ka`hibUqWQI?
zp}F9-#3b%D@PsVm6m*Re`T@(k`YMG}E$=T(d`SW%%T}id)py*)9N~^We_DQmT+;5Z
zED|Y6>Yi{XrL9T5f7n15Tl+OMR1i~MLYGB`yTG%!2=UttMgCKWa{r(7$CB6iu*j1g
zVFgObKhIo&YnMB3d@s=C$f$X`GeGv8*HbBL0vkG#E+DgXbTu}Oj)*qH+B`Ob0@Wll
zR13EMeJ0zwsHwD5FBz(N+&0v$t%pN1Gv4PD>RmvThY&;l4f+SA%_{DPsxJa}7rJG|
z;LP?h8erq?20=)lla^k*Lv`G}Fe*ZN3m>UnI7dQ#IB2B8iApgt%*|&hqkojo)HSWu
z3a-;y&pUoemB}XGDPY|3bQ00sSk6?WKg{+CyUgZ<NP*;&ga0vVK14`W#|062+3ILh
z@@ItW(0`OhE^;(sl$(m@ouHyK&z8O2xu9uX+Q#~Y9z$%-r?*T3Heb^r;tL)UtKTT@
zIEC*<IaVOYt|DM~8Ihv(eV2bY#xu{qUfJ~4*V<U*5Xg4c)s-1WfMI-$?pGpkqp0tw
zMt`xg()rTzc;CI0a>O35TA`P2Z-^yMMb)P!Vg>bvzkPt7XXV9M@3sXj&(4zAz->JC
z1YR;R6#p&5rSaphM{Ls|)W;YB-5D9w)I!B4lI30|PeZ?VjV|IM`6;2R-`&=i>ovqI
z2k%qijAmy1KFfRmE%@$0KOMs~A2j`YD*qZ(ymeRo#JbOc4o}{3!?7AxU0prDl?a0V
z<b%UAhFa^W$&28>>8K$ML@Q>}H{1nW-#XkR3;mcmMYF6C;|;sOS94~hk&$s<ItC4;
z%~N``mU@D&*J5ptLuHnnmd~Gr=&l~QC8a@(=xr6d`Q{(F^wA{vdJjy$1Lfeo?qTx#
zQ;r=nMf9$P-`R{^nf0r;H1Z4b-RImh3j^?oIl18&l)B`6HhchG6?Eo_@i~+;a64aW
zlEjvFa5uC5(J-%#Wq*@DYvMpUAz8wLSMquWUNp7)aMVj``%nndIcJfHb%gn=iv49W
z07N4R6r?#B?%ZZ#(m{cm^7KbmXzbu8di{sW%-6}Uv=XMdjT7W>yN%_s``4V1)FxdO
zsMFQ*7c=2aD-gvd^}lVIPP*E`n&X#>BRzvAvK#2OY$fOkyACiFwkD+AAB~Vu|3O9o
z8V5o{6q(lfThGzWF{_V-SBVsuJs83gJ*a<4p>l_j*|FnUQGa%1E?v+<sNjM`v;(<u
zd>$(|A>~lNwFQJOE<QeFC?A^0rl;AmakWq>xb~S~gbEJ71)u-IF97W&LPHCMoDJ|0
zXc!y91iv-GBLkouji-QDu|KY~aO^fi22hD>VpOlwwQh72SO`ncVsB8KfB4fR8-V)<
zSn$~2&%Gk4hia8+tG2)s;jlA}QY{z*oI~4}1qb|n>&BNL=`a>fma-;*h`)c+BKtAp
zKaK)Aq{B&rrkYVK*-ta3DJgmSl!x<Pp6z0@og83vOmDXBQS%Y+xr@rnind(LMyls7
zksW}i)=Dj0mz-xZ$>1-DbjXZ&iywO7KIZV?zrF+{$wMFgiKjeF;ZWaBAdQBY{x}~I
zVPT~{Ep@VW$4TB>t#gME{(JMSbj*jyWIOuvNyy9<Z>rR{ZrgJEFH+nW$fob`czPD9
zuE0Z&{JHgfqz(?eFxcwiK~pcqA8g6uMli7BI{3*j32VeKo6I!Xli5#W+1on=&QS>l
z0Bfs|{6^3p)m1~o&r6_1fNLJLw(M?#aT?Lqhp=JU<+FZL971yq5OP_(5to?Kpw8<$
z;#72*?=jtDFj>ZQ^_HV)y_H%R^d3}^+xK@!0CE8XT;<5LY0k?er(np5y?258>H3`K
zNt=w6JqK;X>$!;%p~U2`toSN|eA_Q-yp3u5R}$a0B8(}c=gm={z-lLzHX62CefneQ
zwRrHwvHw|FEsZGZgp~>K2&j3g_gh*RO+on)kPSVLOrf538?ihU0rI1R?>J@SpJ7>M
zs7pJn*?ZHPgnI~KZvA#-!l(<Xf`J6!Jo$141U~df!L;F~Li-CcqFIWFR<!aiaj{17
zEe-H6Vx4+Jjf$xF$do~?Zq-7clx<t7O{w?0GuOBb@H-?+L5FLq3>vidBWtePZW=Z}
zOC0g6kH;<L28%35-k@-oK`ISAk2f{644g^4vu`c=J^lnjIM`<qAX<U?wL^cy6^5cM
z{C#v4DojKwsz<M!>~p-mdFvWnspvUQy<KkENgp@phgL06naY0v7c;}-+$fQ$c1^?D
z$@><m-IIUv&>a^O@(Bbx;nDzvf2-sqnKcqQP~-QEc23}aup@AC+)tDQS(FOzC$`f-
ziPC2>WgU#STD&r9;!8(y<A>G}|1Dzl*R5}o<js}Tz{P{qdzsmWZfk+chIU;jPYBj2
zZ+7wi*{*0Iatc&E6s}&1;p#;&XL2vuR}jqvF&>JC?jS5P_k>48&rtEXz6*Jvkjf~u
ztpwi%)bDH-C~mr*CSSWb;)tM8MMbctJ=EYLrKEWyfAmxv_At1T2=ck5-AQvCVF^Cr
z>hYsR`J>PQi0ODF)yf@nIad?Vb-eVE5u`jZsy|NoWWcBHa4J%h*zoN2LYjx`ag!wZ
zDPBqEgj%l3u)fFOq#i&X*%su;8sPt77Yu#4ty6}-J9b_9NMYfu+)Vc$0}_4DfNYf>
zma+?1Ndke_tD~DgvX0XjRBmOQW_vV&>Eg1R=cWheOd>=r%9Q7D9kZ<Tw(wI0{j1T@
zIW_mFM;ul?`a)U(V{|yy>TbGrjKuvL*L#tFzL7qk9Wt?KN_2~)PS2^PZ+)^NOO5;(
zx!@YC&N8v}iAXUvlw>S(i-7$7i)`F6na^S(jU!_?*oD2Z2TcdZksI0pNb|6XeEB`{
zYaZ}1JcS_?0terB??jpY;}^=lM`iQ#%kv<M`UzpV`_EM9h%K3-`9KN>>7|-CoO$98
zHJukjl!PcjhQGdkdf~EnzFpD0sUlXbzLjTQAqg%iYi%z?t%M<A^Jcl+A2op7zoRpz
ziSfGL1^)-HM1g3VuKHEsn?zwmE~r-x`;mCph?MgHzxGFd3Mvhkp=_(-1nT~fm(6yI
zV+!%fZu{a#iXK8n_*SQE(@1|zMHLg`BJqxH^HL&iu=eioy2EQLbpDF~&%@UKR4F(%
z?Os;M=D(c86?s#Jy1a>EL8ReZn}BvLGNR+>N8-}oe`MSrQV`6(Jb7u8QEzzLJcHsr
zgF=xoLSs$=zL8$Eo06QMn2FNOws<9^4XM<vE2)Q$T*6MWfg%^zKbx+j6MW&T^EVm8
zMN4H{F5k;fGCpg?b447vE9oB`ASwgTZ~Z3bD|qN-QzdPuV6R-|bk!jDQLajpH>W6l
z9+Hn%qe=|Ag4!tJf72BIY+6j?oHNy?xZnM`bRPDqkIbOub~|-+$#umWxS{$U>5ssK
zFB4wYXwdx!a6d}X1&zsyTh0gET?D@pkl>-7+0Mdx%=0I<EO*ELVa6lvO^w@ea?1jy
z4v$(T4XD#p@S0^yzYIQA>~guo^!YK2CPH&3%{!63yjY8dC6|TN)kR`uynh)c2zBS1
zI_0a%ePKDUZ;r;lQTF*tI~2OP`*a*9PjAz&-8Xofu43|Un||p-<HWF37dt9bztQ9K
zkJ}U*gg3Tc>%>Eq1&(Ux*)m(Uu;A&lruj&$|HS%>*#AfrMn*;!NSv5Ra*j1_64Rp)
z+S_P)6e;CDQ#ECKbOt|9A&Z;bl07>{(U#*({cv#!uGrjqw#J-M?;^AZsjA%$j9{wF
zgk-vJC)XWRc0kRD4x3iPd}{xxWznn^<R8n)O&jeVrmz^Cu@i(WZ(I^_L=D$dS<|BF
z_kkajzek;MD8?jAaHo@<oQ1>;lsVl@88EOQ9H|r7ALtIAGvyCk`o!OZTCNuROW_HO
zEdl}p5EBl$`5*2IPr@_8*`@clj`%CpyZ&d^0i6nup(;CaXZPl39nok;`}YlO?+Lo&
zbjz2X=aYnA6W__@JgB$z>oz02|2bpxGWR<KUUfb3flkN+b(C1hSFA}eIsX$=R*-)x
zgzg=-LCR|*Cv3|;Q9hQN_lYCf=O-PxAF#YNsPn`mV{1uVesShlDQqD3#OA)3^lnl;
zQXOEPh3)QsI)djbJkGq~oVaUq5tfC5W%7@uh=S1@RgbD6<ueBw*Q$4egyjL9Ptnxx
zF<Fg`u`DmcmxU~eoJVeLd^4++D-W1^nm&uj42`Z?3N3N<EGE>-V#WC5wdyeR<x%~b
zGk`=!M$WLeY{tlpxF6_&#6}=o9%QrsM(RAog=>@CKvv$H8b|)|1KdY<7vbdVr*J)M
z$-PgXjqM(BML2XhpcQ<;RZ3uO-e7(S|BrBQB<6H!r{hrT7E@|O&%HWQ?=yK`skWRA
zu$+M4FG;=HTogG8^7{*u@G5+msK{ZZaDjjxt#}6&$1F0lx2pp7VbUr$&;ZGyW^Qsi
zo&P#!o9z78++Mvy@refA2e>}zsZ(tdTg6w>b!55_C%o)cm$P9n6YseH2gf!yoP5`%
zYm4V|-%<ZKJjVj^FPn)B>kl|bz_}*5`<FGt<dA?)b@*t%$Cg?=CqF#Rlhlq(GGn(q
zE;INP>+5>411h*gB>0{8xph(x;e2d3f5zF%64-L9Df43G2m&-{u5~$Q;{ii|y;By7
zj$6KZ4Uqh|`R|F)t568x)caL*%mi(WlW?QT#23i$B`zEgcE3I*E?;2mg%@F;tqzQi
zw}fTT*VgA1s|<Qm=HF^kU1!rLBuKJ{S)YtRao`oO`J;vvXfc5j@0t@lo7}r0O7<td
zz!xr7w6<uES1?vQ{B9Xj+ri>K3^>P-66`D5_edxr#}lncr6u{c`fRm(wU!iPKXIQ8
zw;?!By4!-fu#PsbhNgg;6ZKw{`?3lBSEaCc7Om-NTWwhO6r2~M!g;X|$$z;b2J)RL
z?38|iIn98qJL@t2X12fIz~*T=*vy@Qbh+mUub=c@Yus%9vZS{^oT^N8q#Nyb{JIcL
zhOH>%E~37wT51y0(g4#a)ts8H1i_ZOu>}s(Hy7{M=Bue5Gs}<3<vGSEVHD;18aNuW
z+|+<=?2!ZH;S^8!!xoQiwT$iOVLasu_ND{H2SYZc6zMkS(%6(3BJNnd#H4;Zl*kcH
zSRa|Em38+Qtd1J5+cS{>N83Wmzr09v3#~D58|mEwJnf`_`X<TYxu0Bt5l?d$G)8;M
z``L4J7b+Dg#Q1i%pVf+>d}lX!nH+LoB(I;q9lohYAMR=H#nE@J&q%Kr3l}Pf5m06R
zy}CMq<Hn64_$%lTXYnW;yjTA)1zy7NnFCogz(cXA5&#<+IR&@qqG$3Z7(1NmemQXM
zmvcENRA;W}euU+LwIDuJV={oR$3<-^>S#W!CN!Kb+wc<BJE>H<<S@wAQ3Zd$Lb<RP
z?{9Sk;1`PjN1r(AnN#NH6e0zoAU;A0PSf<oO4|OeS&i_T(^<p0rS*^EL>bpl?jWt3
zI))QPoc`7G0Nyn9=MnjRK6GI&Eyb{!5&jw%$mL9jN0&cJ!>Rp$MXD0GGEqoq?1RU6
z+P>d@qRx+0Wk<#-##QmDJGY^iO~gBz(r3fUI7@bZuveZHCTx3^NA?AwCP6E@VFq#u
zTQy#k_wa=A0)xn9ajB-Ff`XS0Hum2X9=s9`K(u;uZw#*X7XcJf25GAz#=D%};*p;Z
zPsuWZ1R57m^3qONPW1aukR>y;uHQ-NP7x!NQxHMfB#>54BA_$nde;y1iH6NF$7U3#
zKL4Slom9BHsgNGv9QOCUzE_%Yj}GR611)-q{Us4zSLv^{z%|)y@{AdcX!p42ssz4{
zIitt71zfyC+-t^xL{6mlO2Mmlzfg$vtJ2c$WiXxuBL5>-PmvKgqdwAlnuDJh?ef0G
zEqdwqJCq`kjHrBdVL+(m_nJ(Re+^sdRf3Wly;OIKj4g6))`uxW8<e7<1D&5Ir_nFX
z%M7oTd4P3;>@A1m4Xs;jL9vb<`2#x$eSdN3v4C3@{+eaaC60LLm#<th>8#Qruuf%9
z>gTke3L;{SGJJ<ei&%m$9$Hv&aC!AyB0)J*z-dl(=N-aIjBlmK8ch`%T6jlvrWVhc
zSTvOivOMNsKOREnS0GCoI8lx;PTp%54BWp7p{Fkq>MKoHd)%(Zpx7_5$ljo-`#r9f
zgHH{mQnQ4Y^}Kw6`@su4^eqP}@%pohrVz)qkG`7*SmrJIS}pR{+spX|@u@m6Ok(zu
zB|8Wf$gpNxD>83QC=(kS@1F;dh$1>0emV*GvmvV{ozz-i9*4-G6LveR;fujPPSE?}
zaUxYk7o!hxs-#M$>!V-(qQ#QWCp%oo4!_QB`P}-V<2r^OUORz)ABGp;_Cq!oZLbag
zYrC`XNuFo-nGcdC|1>dfsqNTYjf_u~dI6VLLXQU3kDegoG&IU!EjCj7GMt0gGYfb>
zQ_pUTA?4+;9G%v(skQ()8&eOB`BOv@3V>dN>c4{1uTCDbzC06+E(PuX>X86H1O^VH
zOrM&qXL@ri_X3>?cDq#YNCHP!0<y~*^U4wTE~!x^Ui58z=S`WR-#cDmFD$JmSZ0xU
zbU#X^ja{)Ce}Mo&?K$-yy1#T7ws~BFsdw7@)q==h{H>wDU4jE~uJ>vhIzY4HTiv<l
zFRJk<JFl--Teu8QcSGJgjKH(?jm_PZUM{8oYYoMw5Z0|#Ub5tUy#(8+>c+k|;JqFp
z`%Bb1$8f0@NQRBMVvDy7*J*L~o`thDk->|2f3*i=&}>F)HD-ng>V?@Y-Qa6+>a0k#
z03W;bE=n?wR>C~}Q3F?SSz!w_l5aa{{tk=O=b9eq-Vb{#VLruo_BZb;`W}E@Wvy{P
z53kA%!^Qsd&Ub+l84}1PKEE5ytP4M@2ZM={GH!EoR>#6p@Dz<l5ergEeCTA)dejJG
z3YysNFel>Hm@pO&VRi6K!u>jN$IZcD0^2=qn&(!S&>#QnJjMID;%7|Szrmub4PuUs
zcC`WrMG{LRBen#HPLV%+|Gh=%A}yi&Io*C){8vm2lgAe>FM=L%bml0|%9AZJ2QdjL
z!cPq_o(vb=qp*fWhkfDuL&x~(AOA^Je2Mi1PmkojJJ+$>a~@loTk*%?NW0)*#@)s7
zlLHCXo{=XY90nE6mhvd;K^&J3{M&nLc0m5pDSedfc-)&2t<JP{ZRjPs3Jo)`WU~yN
z7U<mps0N-O1;%;E{4Msuv-%OD23Frlm2u>|;YFDkOcgkIzZRzx%Tjyf9;b;`?tG$C
zfgT%YbZtTmxqj|@G-mdC5^pUSq>|cNZsPWC)x$02tZl`W2+&n@durd8Kt~Pk>-!_Y
z4;wNH3JQxXQ`P^`86Ox$PreW=yxefoGY@bPury7{YukzCg)1UmZjDXuKW}v{;lZQ#
ziA3m(U>_;F`#VH<b>u<@7R!?PqRNZtgR@b1lTnNn`?p~5&!iGdHsD9ur6QQ~!L)VD
z=7hY~NTvwPXB3{U`m3S3m3&3Sv;_KlW1)1z_Mr?&7Pm2qe^rZSln`NIXo??vC*h*1
zS0H8?^1XmsT{gH|X<nTD-tOpJ;KWhQxJ+G;C&4}dDx@<dPDh_yk)`eX#3Gq!>gr|X
zFOf<PeW!6LW%wJ^?m?;#=tTbonT~+~J^3XMOYqh^FWVPzlYi80N2`T9Cow@vcz2ol
zwqbee>Z>Eora!3Axe8~slT#~TVQwW7(JH1^US%$G`H4bz32-#F<DX{RB8vK32n6_j
zV5DOBhI6G=4yl^#z7fq5`IDH5`lB~czALYv?t414dG9TmIK{W2zbqbdz7%L_{Z?tM
z6QCw_KVDF#jLvGf4}ZnY@Mz%wVC<`-qWr$EDJ3KXr6dMHKw9Y@6afJNC6!iMO1c?B
zr6dHDZUkxRW<Ug_yJP5~yJi?>-e>&i_xJC+7R!HRG4tH#+;h*_d!K!I%6v`xlSKer
z7Fw-b_8aeSjg!UMs#^g%OV||#rUU}_uzS61a{Gh{_h_JlK@V;`y1X_TI_&~ilb<dE
zmrfVVDWI~_hQ2E2$=w+~(|-M;X$<r8gU?uL^I39Px^qtfXRHfUW?X^bZ%Md*2Ujre
zjfjsOWRo(jy#6EA$~8a?^8F;i4p1_kUQhqJdm8bh`0>-=P!5|w78`nMYA+fx9$bmS
zhw}*x<ILZ9PoU=ABQt!pb4Lo!d(j~-uw_OThX3%4z5gf?hL#6n9xvbIvJA0dldab^
z*t`P;L$l8xHpCEBBJRs}b7grg&a=KGb-+IC_PntteaPiL6ta6Z>v-7*Knw4<CC;UM
zT*-$>|DCeJxJHpYGjryTI$~n|c8AbWpLAyw=r@i(1cUtXbfDg2E27ZZpygLtaBJy|
zjB+?1{E3yZ>eyz!cmy&-Awq;})TCD487p10pZb9w$%&HO;st8u7hHcvG5*w-tV0x7
z-p=&xUl4qhO;S?OKyfml$=<!sE#GA4voJh{psQoE_Sr2mu7MYW867w5ZEJeH>$cVa
zAlG5)03O10cH|M`q5<CgD<1;@y#V4L^t&Nf>^?VIu_6d;WnAX5zjh;4n^<anJ*oGt
zpX-POKkL_S(|c*eAE>yO#kM^`caWSoydFCbyGDAh()RV84%#3pJsi6IWUT*c0+)Ck
z1NDbdO*v4M<P8n02g9N2R*+FvlhP;v50^{9hGm?*nm1cvurxQsyR&y*VUX(f@iP*U
zEgu0>8(oEZ3clf!Zq5wDMqt(b&892x(NqI|fxJ}z?OOnG%vMl)`mb}SsJ>cLL2@*Y
zv9bdH&xCFAU?&KvhK=KJsmL+c4`mHL`gAcFdxcMo-2d?%-+L5irFW}F--^L}j~Rdo
zyM3N-d^>;p9~^=^L?<(76+*kb!%%g6Tk`<9#y=bMQC-5oo}|&q=|OH^s9(7*NnH?f
z@Aj}t{1~e(n}3l>Pwv!MTzBfJt<|^#pqE^s<$ZbJRT}kYI0*Z<GbI8~xI8I#9BY=$
z8;+Gu`=u25fdx^;M&jn4pSJJb;xF5oF8Mw0cV{wsOy{{aW0PWzvLft1le_IzKDqzl
z$;NatB;PDFd0|#}?*dZ1|Jo00_11~b+~+0SyD~!bFDok3Y42&3>*mH*k%myC*6Tjs
zz_Z6DP7SuFCf`nn<Eh_Yo|lSA-}ah(sH@x)MCJ5qP#=&n)TjzHpWJLHuY+Cw)ffSc
z%usT`tR{s*h5Ti&TUCpJc~6W<Wx~V{Y%dto>KSs>s3Yyy_OZ+xx-P@Zq-@j@T?D#a
z7(1kc^J=L!8WFDZN|#|Bj^b}P_-Qq884UKM?*IviMBe+mc>?5a;KiL4OV3WJ?>gFP
zZddN=+8R|&zo2pg63iwx!Q|_ie=g0$tY;QUmC953J=TM0;w-(AG5Rq{WxS*jC9T)r
z|Dwv6fr+8a$RA+=mIP2(-OnzV6W7+~|4HS5XNV#G^o&E*E_$iT3gS{?H}Cc$YG$4H
zkMIXeT$JVXa0f7XxJ^yN2T20gv}vc(Af?%AiP<qe0nZ&5079&X2VCydpDb3w0rxK=
zF{Ai<f&el+T;q2uwZq*#J}GAj9d+rY{ja{IQtIx{$dLR7h`A^KYZ2UZ0$k-Lm?S#!
zW8=LrhQL&6H$~AUFJP0j#2oQ<($J@WQe9##{?_k$7)=(-|GxPUGj2^~%h5vAm0R4-
z>#c9r6I!C!Fb4=1B#;&roDS;r4KEN(XRkWbeCj2BH=cyS08#;vNA;W3MW$W?nC`ys
zNappw%WaNlp4qRc0jvU3WLVhx_b0Bn{PEiJO2hIU%mmy3b4yE6vY3Klp1a5;i?{Su
zvyA2Dy7Q`9W6!U|eT@^WBX#)e79=qBGL2fAQ~ch)k{OVo`1Olxm_ZnHcY9BZ(V<XQ
z$AJ5b&mU!~{MqaH4n=q;<{$+Hzu!kVcZH3zCFO1{@2CnFB;Wfzc-?zkr%XH*R@PXg
z!im>~_jhT7l>>Hpyw>ffOuoK|*kyBzHXhYi96UCtQN>369~c64lKhPMmeG!P^R|@J
z9F9wH!9Onm1HJq-)u(*#SRU^TY|~JO!AO5e-})<*!iMxUTyK!k>{&vJ70+JpJBK0$
zJ4sSES}QyqIhH@fT+vR>PHp~nDjV0*+cv>uzf>jG?s2#VzIoiU2)4fsKkm&$;=s?J
zyF0hEW=v}O9NL@Tav7;K+{TuvXV}0^xEmV#0Ggh#&6oDkDr3b0voLY3FUzXdIQt%<
z-{<dl|2?V9-3QBqP-Fwj^=xu-E%{Xa<4nRzGBtJ#0_X?;!0=QuzgZHlKr6!?_@B}V
zooeFyRbb*R1y%0<QdaV<-=Z~Ym$uhund`<CgKZ|3V}_dyRsq`M*`v%Y@|G4tSo8VF
zX?lF{TGz6rPSu=hUS<&M-#3W;#xYL21L*5MsoCY<&Kj^IxN>Y*SQN!>(7e7I1dqnO
zdga|M82OxNgE9@66R|o7mSP_KtjO~FZ+nk>(>eoZR=2v$ehNm@Z`ru3>e2nC_Iscm
zupR~2^%x}Fqm}%Cer4*t9-SK`FYs3J*X}D{+uQ>JbigOcXwd&K2#!D$lX%Ur?<cJ(
z6XSfIJNESPiS9LPC!A_e`Q3rop9jvVA}Ps2jg5=NBPLmR3<)p@_ymv~F~q;WPg6Mk
zytVrO+!$O{SkU*sBv1Z~O%}B}OHix*U3V3g<`gJ;(}j`{2&DgXh7|sqc<6T8Vs>Gn
zJ-0`&4>G)zlpQ~935QtN1)u(-j`Rq&-o(xCdB1$yvs1RN@;FC3!S-p%bCD;iWOo5v
zeux~qUV=Cy_}*DXTKog`d~LRwh@DESu6YZxM~}2NH0-MI2?hV2VK{iBH!~*}YaJo=
ze1bg=3EhU39W+HHd9#viT@Z8gJ}NA|CwcF=8==Yn)Ie`}kbl%bs3J)OLax`*nx*>v
ze@Z5Rm6anTxVUvPup^+H^6;D?*!(Ns$m-n;@+hKg;1huZW{r|bR>`$(Tcqss#g#r6
zzqIzCez2j>uxN!)M|<qn(PRp0gE;{^5BFbyZ+r?stZLhMU#5@=j<Y(|!rzvZ5LaHr
z#XXovOCx?7EXVQOh7inT*>uE}uDhyMl)GGP@hs$}BGH9$D-BBPIP|}s9r)K(NzU$F
z%9+@CYiFWncL1DfU~K(yPB|Sm#oJ&Jn#tOYjcWsvtxPV^lhG1rQBYoZ5Vwkj4n5K>
zT{md-=<f@_J|s)4t|VX62j4K!DU;eYZJwkzF01TA;$=IdLKkZj*izU!4%@FY;oIQU
z|K3!V!SD*$P)(BG>1oNNXiC+Oy$>Gm!jL?+&kp*>%?HTg<5raI&X|-Mcs^3J>)R2w
z>gck|AzB93ZTHWqIk*@d!J|GS2Mul41FwZrSwC$3ZjoCdaZK}$@6v0IhU{;Vi9O=&
z@f=KMe?a-UYf>eLT&KU!>N(zkmDyfevjA;}95x*u(;xLNw5P7X1-{>iK-M1BJAaDc
zzDti`X*H1h*P5^l$>2hgIcDbQG|t4_vUFu;&+K|T2DF0Na=v)H7_q(y@Gn4NJbnw7
z-M+ZImLWF+_e|f9K3GjX+QliLaz|DwD)+Pe%P`nk+nQYgu|dUI3~x{8w7o>cfs3?f
zL{v;GIY9#}@E$W-%!`5rLk#gXakH;!Q~#*k<2kC(Z=GH~v8@-D8;;>-Z&?0_ot*mb
z=ShIQ3y?m;oUS2{J4Drw@^-BapVdQnGhbn`cUL(q?irc0ldMHkfTK&AN57g5s|qFn
z>cOAU=1(QHDC<+7kp8Xt<uX<Ac0NTIt))%Pnp&`@F_5$0>)Ee9UK1npW6D@Nph@c^
zdw6pr9_W~T?`UWfdU+xm#q{^MSyi9+32}{m-*3)jiTnq61;~XEB<pJr=04A9Img?3
z0<(qB+k{Q~stlPm7{3P~`%HQ4Rsdqf>ACALT*{yOfzgu3Rr*)%T!!K)hg&aS9T0|H
zxHW~|24eHiM%ef&XLY7WRypfLF+QEoMx@BVb1|PzIffs&1yxXTltTr<c`{t(=RtF3
zMvD}SDK`cK!?)9oytyhwS0&oC3AKQj`0ocGYDd`0cc)DDLU-%j68)1p?Obb??gdk$
zl2U2L(pCt#n}Y`7ilvCvm|4j{+w0ts11%Y<e0j}0q~s-0!fOa)+<!DyfSevdwsP78
zI*(afFv+TN*se|{oEk-NgYxD^A~yQ{pKx;BV9-B0WmhAI+TiIuVAgk9y8fug(8cu=
z3HATZj2?oyJ@5N#=C<SOZ%aFyEwMPUuNps{P4S|YcxWK7nAo<o@%+2U&uUPYe(j`<
z)5C}&<RZ2I*AW%I!U~-KH7J4nM9<vqAOITtVPVYQDwrb0s5O{?2;lPpEtr4zSAO@#
zo?{CQa%pz)wA*rZqgMIG%=1}menv}^$xU6hZc@phoB!Hau0O>ZZ^YZ(DHw`{T&zSi
z*=)0XHnn3K%XtGS5eQe^gUyTZ@b)q<^mvnD_SRj$jjn6xF1cTowZ+RqvP{cC;{U5J
z?`7U_uuPjjYY23B4XGCws7rca<tam9ri7KvRH<P@HTtJ(u;ND0;G}O<Ib%L*z+~*x
z&NBePjT0}~GN7Mq|JT<5yE4#W*YRS}NJ_)K;nM7p8W1Jy|9zh|Vut#41H%iO@$@b;
z!HTCEhdUcZN)%A$(SLA_w^{(HL&BNZv_;sjYjxTq+rbJxEDt#UlnNe;Jt9ESH6pTK
zbmm(VtF1izV_n(eo?h3!VSiY6<fH#G;0`&S-D{xGvVxRIgLDegzib~Fe|-$>q)Z`f
zSlissY2cQF)p0Vhylu_M5=*=JN9^$$M|u2ds>_AcrE#_K>5F4rvwwg~AWQ4n7ipLB
zUaeV^uMdyy*<7NH<Mb6_<+gQ{bVN6?h%sqko0Hq-o5}4oy%ifFM<aaxEJN}qq4Qqz
z*{p{tfr(ac{>e~q2pU+P=U3Oc1Bs?Aqo9c0-C*8y^!4{f@mt^V@RG1$=@mh4w7Mw?
zf2vZa|AX{&;rO?>B2ZXqz>2^0Wi$RIfq@KTL`g?)b2PUdf0n>kIs0zEBA%b!hy)9i
z_+TTl_vRDjM3ceZ)3567m4k;B5JwP2vb?}K0iZG8h<HLq`ETzM2U0@NUvwAEyX_?}
zc^<!R=4ZY}|CT4J9{cKD|L7FaL)4L>rS5J609&bz2Z%5blrAU<=moDy@%UZ7f66Kx
zqT58~46}JxBEj|)b8ijWgl(OE-#_^X<Q+MwKRF#|mC9qk*|nK-%@k2y_llbDJl6d{
z?)v{WzY3nYVPhq<jXB@i&Zfus1(4_;T*GP&bG-X!uML9mk(DR07XK%rSfn7ANoUiF
zc|`dykXx$=rfLfP?Ay^b)_k+}CJm}IjS7EQ)n^LW0*|TDWaBo{DsVFiOhruI{GFb%
z)(Tha#=><A(%;{AhbaFZ$8r|LtNX3xk?ZZLKhZ~$M#I*<b-$`A`SPKrCErK^sspR3
znjhz5G-+vv2gd&YlvW%9)ekOv^9;=A{JRF~<QPK#Ti-{Si*g<>pfDZ9xLX>OZhfy*
zzgvd-7!7$uF1_A7cv5~agDd<rj5PM|sWL<z*f3=d$mG5z3tkr0#}3^eU%R8pqfIuf
zDgP9R|0;RlDg9r5*UL9dbukE<Y)y3|saV;o_?Vf=b;2n+6Npd$_q_vE1<{c0!E7yb
zj)vZ%w%5FL`c1^R?x=m*=M@vw)WQ*VE&lwu7Dkh%b%{OiyJSQ00X<Fy+!UBXb${8R
zBZfOq`Tkd+vkc+lq6wOXE>%Y?`>r}!k}M*Gy?*BhvjyD;-al|I$;kh&uA({cSSWg6
zOXj?*F#CJpHbp{VuZiPPj*mX=f09$+Pzh8gO4Lx-$*YA<vuN>AdH9r0%p^aE080>?
z&3AhR@B&REw&=fD{-SYM#p<ZfPHn|!CizS7aclJHq83#A+D)Kt#hy-qd&Hq+4x{LG
z<0(2VZu$empGh-@*1|MwK==574;x&<IL)oE2<y!D68sxZJ#>b&Up!YRDCU-j4veb2
z(>MONUbr`j2&Po>Kh(wu3}3(8u1S5%u4Nb1L~sZG#ZNle<YSmHQ59CM=HG0bzrsew
zk}e}t0MA%sS6iNWBtM;!{+z&Aoh$4}%MVq?GA7H1eOv!U+il_)Kl@3vbH~pcf^SqU
z^Cfs>Eg2NB-`_eKn-G|T>XviKP9ns8Pqm`%2h!kw(pTh85pu+xtjOrHAI7Qp3)bTh
z%y2B8Rg+zAXIswO*O%Ch?H1K~a}J%omIDrTpl7QI21_RUB770>L~^$OE2|!3%PJN#
zx&JFR4DirI_Eq%{({~)V<m|m_Hm1M!ax;sFKbFNFW>`oQxs_GBvT?}X)!fap=_0Ln
z15Kncz$I`N$Nf4VY#Yx(#(Lx5t_JjQ_Om7q@sTx{SMiaRv(7Y2aL)r8rn`YmM6L>%
zGvqA-#EJ5yxCJ=Fc!eZWug<BxUhys3IU%bJzdskwRS7Gt%cA<Xzi}u{XXk3JEZ!If
zqJ7IF<C<)w?$B!O$p%=y2H=JvTx@fJWS<SPRhMU@ZVhh}4xT$sagPC*e!Yv&q{>#@
ztO;>{wZPb#TREVlYD#AzteH$#ccgyl`QvPqu~hBh9i*ge?-HM662lvop+CA8$wYw3
zKREJmteVq#@-;KjO7r^*n9rj}cZmOmM<6+|aP{|e<t#<N{cCe!Et3O{qg0iM_)G;^
zfyY218@h{)wa6|dTECW+{Nd!%gGPUi8-ycdy2V8|D&Q1UhufY^1GoMqQ#mcXv}qHO
zK8G$DZL5rA3T#QG=EQc3V1{*QL#|fG{+wu&O>!*3<bd(+{PT0d^Sa-lRx#RieCkOV
z_HR+OcL#~{Bn?CV4^=b3+x$G`z9ZoA(|t}-75Z$&UAFp>;LEoCv-nJAqA_gAjreRU
zE3sOmzL*@Sl2f@4*NO=Kx~NzTlvUxscv$`iqiuxC2^Wmcz{Y}AIF9W^lS^8Z%7ZdY
zflR=J#RUdE_LW~v4aJrT*f?LP-Kq;Z916c7Mx?o(oMWc_{a<m+@|<JQeNvu_)1XLH
z&qZWUWF=T49iGub$QDVBA|(WhS?ur^>cxz?^b6bfw&190hqBS-H#B;uZ2+nM?Tfy)
z1@7NDN$gp8GjV4Mok!?G(p+#ga2+Jt7(hsTb0ZYHeVB-icHF<fd(#;`Ro+Q*1-#22
zRBx7Ukng>0_*o|66+OA-E(~TN{adtaQDMpPmo(!u<xs>UMhAU+;jR(0T8W5CtfK*N
z9Bz@zGMT(^0w!vp$qB03GPx92b*&h>P|vfkI=-Fx@`nEs5AMxS0@t?w;>uZLu_3-4
z0b2Mqv0Lk;W$@QKMA)XT1~@_5JYa@tt__RFA{l1V`s#=@==Y>d+Y8Pz7l0P8t*GI8
z^iM$}m&x_Fs+#3XKF#yHd+QJI0TeU{hLdb@PhLKL)PJ*u>3?PmWl+d7j%&GptJq9G
zJo9(`iXLwvaYkRC8V0Dc?}D!11M&t{;Nk5eQ@|9@S-Z(~gl=am0=;OvaGMxZQ9NTH
ziPhQa4Kd*IeP8h?O-{GJoDUpUOA(FaGj8%k0nTj<uzDAG6JWhJI19}BN^@r%Ko6aw
zqE(ac@Vw8-IrYlPIewYGt@bH8TJ@>(@kX9~>M`GdpjkZU-CFs>hdm7EF-I4T6K1!a
zWm@j8#q`+bu(6HZ>exg@sjE-Cit61g<F{ahO9+dKb~+y^c~v9tok~b%i`BZt=GSo8
zXbv&be_Oa8jLed#wRNTir7+@Dx9e!lA#2ZtN9S_gU+Rj9YC89cly-$ETp7@dX$<pn
zJ8fqyOGeZ~5O?n6Zw_v|q|W9BT!vmn7;czkt0CdNxL0}^V43m0W9yz{s4DzJAJh}Q
zDHSc*yo=I6qO#sqxT3w5d!@6z8Y1pw-BXL{rcAbw9#s6!mjrRfeV07DS`^B!x|tEq
z6)`FZD)=#Q<&rTXu(n^NGQup<7<VFC+uQZ?N@K5Ze?~%7P*hn!HIcDk(nE9JXpFdb
zCl|b@bW~hobQcoRy_YE+wV&(FXysMfm^S(q8fkG69c4wh=2&~Q+o<Sn51MATm@T0A
zy7cby*RNku_JHZe9N=0p@ZkpSo?*Q+d#wP@Qx2oCc(E?Abg{xpbAL)Qj}tBq3&x|b
zI$8H@x@g(H(5nd$8pDHc5;U-3i}TyxjZVy4@AquQXEY}~qj(}<{S!3&`n8tGJzI-n
znc}Fru=&F~zxB=M6!(EQuTZ<-z3mT>cJM$7>4VlD5c(iQ;9FbMC$zE3OLBI}%h*wd
zp*y^whwLAq@>Orh9tW+ZLCp>5;Xd(??IVO-Y7&YPZxoRxWI<$QI=|g~Pq2aq$<CFO
zza8R3{*h~tJ<TB9=t+um+>k>$#5bqV?>L=2Um4@uK?5h~T}JJvADa}(D4;-@K9_{#
zk{cZ<x+VJ6ht*|%yU;Y>qiz^ve%ttb-yCYZIQmdbv}M7r1&N9a+$Q}tQoJ#0=q{+M
zp|C3$pQ1vG#S$La5m>V$W`#LgkT)Q?gf9)OnGKE-qbjr&OZ^MCPett)etF3^f7XJ&
zPrVR<1GD)h0Ed0+x~zY>|1b86yL9)o-Xu>+nvrQq8FF@;56pc1+99hcQxJ@1V>p1<
ze?V{^x0Z2H<f!L(HblL<($U52)WZDTMw-F?C&NmZMAt*rjVAKb8mCdq@`u8|8Ani&
zlKlO%<R@SR4oaCEd*HrilcPQNm<rVHFdZ;|77@rJaqUIhFLA#G`0n$@;`bk&*~}_T
zd%xy`&(hDE8e6P~vor0EFKiYipsx&X|LA_QkO~?#)B`J#eXLQK4Fn?{+kOvTyMQC;
z;SB4bQm8oSx*TT6Oy=~w2`+P*Ut?FF?0Wp``5mS^V|o1y$0FO_ydRCWAmSJ8l4cJ|
zB{bw1eYL1I_rTndH$C8KdbsQkQJh@}O3k1o^vCfwPW*~VGO@XXsYis&@r?VHE3`D7
z_gs2?>zY!_HaUt;Iz@Ul20>T1Y!4E)9}Y6~LBHqp7{0qYM9~>uxhw_}PB=Clc7kG~
z7D5J&hwM|_hMx_5?i=UY5g==^zak`rY~+z#C%{t);NRQV<mJK-OOfwBtf2g~R?@4u
z)xNO^2Eg|S82YRhyhNIJ2ij{*_sMco@jm_7M_;#2{qu+8^~6`*^`x60{fmq5g07D1
z@gZr19SG_9Iih2-<FXB5F+;05w7G-GyCjFG>K0MpPkA)SnM^S?D7lN;$7^(~<@vpx
zADccUB+RgWgCEEb=t)&;q&b}59M$fze^%;Aht6y~X2C1A@r=NZ#OlkE`sh>ZpF~)t
z9;OZYpH*HWJ$>Uxqhag?mf`FARL7`PzWI}nP_Zb$^3KXJ-8vC+H366e`A+OcZSTjb
zqP@}W6yTGan>%YK>~o;p7DAcFv~OG9R&s@T-Jv*E>tr0^x?@WwNyi8#>SM+QtTA>@
z!S;jR{m0id7|LE9rMP*<wPMvDWv7Wm5%mL^bGHX6ztZhQl6C}DLbi7>$I%&AJAngl
zXAW!WoJ;ddrACiMzp0d6<Y4j$T4Cj;=mL`VQ?XA-I0$nHQW^y06_?5$0%!E#jk_6~
zV7*t-Ud$=mrVs;C(aGLP$c-1~Si}H8(|Io3@v{r%#}vXVh^wB2TGH!qDbHEZtE@TN
z&WO86dwYkV2xSif1^iIAK;V0mnUuYm`E=mJWzMyEzk`M&^lMAy6llbh=AC!##MS}K
z*{lKRFxrbQdfh}@tclWk9U3tkjoDoW{BWFQHV@2f*iHP+TH|-*t{*K%GS<(A8gD@Z
zp9BR1h)H62D~ERm`<Keb`w-WVjOAF`kyWAFy~*E{)7M1F+YDTPKltQ(3iwQJNF!yq
zEQh-<zHk<-whq#3P@jc^k??vF!0*d`qd2qc-PIS*YgZzn$Y}p3Md&YObB$3aORbJ6
zVrs`UOzB;g5St(N+hFNn@PQUSej=bZH16dH&V!os1U!}c!K14GGovjlG0$d@xisFX
zRj^;Qa8O@y_pwl5TelBjl%bC9hoK_H_NUsw#Z%K4Zt-~XIRwdJ)Hg+QeY!wbLbwN3
z1QoB*OURtC2a_j*XS=hum{VxFA1>cS(^TpEK(Y%Rx9Po}Bs<24X%jwcEsRJ_5F?O3
zM6vjB!owKm=WbaG0pjp8ROt0&0b9Iovv;p@o)3v_E!TGE$G$PYxo+Znh(Z6nI){Wr
zm8BdW{~!u?$>OM^w&_kbBc{xB-A5SAZkXH`^6cc_u*jcY)VTHD(-eK^I}|p|aMiU-
zsbdHseLN&+bhkK>-N(Zaat?z)b_dZrgAS`2<|U(Tq#Jj0n%=Fuh?w;Szq#x+@Hy7-
z@0Zn6#G*6!c;g-iHV<CFotqxr>e&kH1v<^>Toq0HudpFG!e87h$SJev=G~t+Fq0_P
z`$mx&nRL(e`iLVGQ1zSdqa~}j3v9zOA#Itdbj(-7m;yLRnc>;N;Hs-^clv>K%brY`
z-XyrXhpe|?g!!Vc+miC6%+R&Wnlve}0%sB$@VoLU2eq0&+EWC=wKu^oRy2{;#C2E$
zYxD%xc`x~r3!<o9HZaf$PD3;BQi<!|{7#Oo=e>Ok1w!?;W9XNkE-_>kizruz*L+Fa
zc=1K|iveh{On6vj@Zu7DfToZI{G5p8@>d4sLOJgqRkM9#zpz%aXgN&;BPmSVK*xjp
zB8CumBcjmy97y^+(r{M*y)015xT=Hlt+`lLvxi6xW8&iQ?TU^1ftj^etXRsU{7J78
z(EMtOetOlLNM8Qw=0S4+pLjpjQIcDuTUXRLsChYO=4ryppi=9D`(G~Bsa}kvKl>xk
zSHwL2?exoswg1Mg=zG@y2b#io97rGZXKD-=yGy&J#-e<Xw1wdUfpi!GzQdS=OY-P7
z-}lFpFls%+L#;tD2KC5`AecH%B9X&R01=`{c!M~KhQKnd6-WHSJFpVZscR05e5MMq
zoQ_@MG5dlQ?f2%+84HG4bob<gF%)9yrz;?ELD#10K2tR86;;IhpSKGL?o6)psmq*2
zL2DK4b08@$J+Cy_FNALQf%5{kHP-RseyEzSBVn`I*Lkub>Apvt)q@c9vEy1f`EqA|
zp5NuHECkqhp_RB@hSXS~Z<9?`Qg);@dm7+3Jgnn5oOX+|cKV6#n+oK|KS31eqxEhU
z_S9Q%i#s%Ix>#AMZLN$xKl_m7<>iE$d$Dw*r`)O_`}DR@hff~}>#dn#c<r!fRJ;_t
z{6Oq<Pz|s&OP^^1oI((ck`~Sr$kz~VuqPu6k@g>AMUev;)P#G*N?vrc=fxE))p|@&
zb6Pm+nxTzrA+q0~<Ox3)#tZB46`K?V&KXMF>wO+y7mp2w^GyQuGrZ$yu0^C7iC2mb
z5)RnnEChE#H7p;<J=EI*s9xGr9!TLf^duqzpMW5Q1S=l};MvXahhjd=qC)SZhQU8|
zM&;_YxjGfHVnh!q@R}BIKHS(00jq>CjD1sBNi>s=1XpKj3(d}b{i#|VeEIoXb&_Ge
zJ$eI16aWtXEyO*@-UrTpOdDT$_+Vs2IX-C#>B6cQK`HsDn^pG&+9#MV)H|IBIcbj)
z@g~PSXX;qoy?lsKROH#sCS6eeNjb=cHx8(9U3_2k`08dO)vUtO*$#an?>XU5ECxiL
zei_A_yw`YZ{(zN2=49yS$669sA%A9m`D1W|Afr_`tIg>z!5bE=a#AN5iPbWg#I#C*
zAJ;HH8Mh}-vA&DcO=u2Ik8w2MlY6BjEko$E9fG#~;So%9y^9pD5{spy@7w?E`1(?q
zrJvV0paE~E_%ghycp`M!Qc1b@o2-I-VSFO{k&$a7AbBH}@TC6~^}XoO1x6Z&u9J17
zdAd<7ee(EAmLb=W<_W9=<+8XKjR@JMKyq%t0F$k=m$-taQt6!lq`}OfXDyFeQmrAq
z!2r;A*q0#VqMoDTkQW(q^zvb%6}N3VuVM<o=zuYw?+84g)KC$(ZUhXlBWD-AMg5zp
zojU=bp+fLjFrWS1FeG{%ba9zd;_3ey{qP!KIZJVrx|rzDUIOV<>@tS4G3CY#CQjX0
z=;n%zCx0~JC7ktS-P`!n@$uf>S+7X=3>MX>!fNST$XNl&5HIFrVN9jnKHzDCLnfB!
z37T7A`Q^SdRX!SB>9I0-PU6+5(wV554MPn>n&_`V(!&xV&N9o$UYAD!tMfm$pxww-
zRl-9x$->$r#OJ?&2d=7G3C8Vn*%&_-khG_y!y$wUlfR&O^yuZ7UNcF$EP|N7fFFM!
z5&WwS<<@jXvsar&7_TR7E{^xT@{otlu}fa3re5v5G8Z2PI3mK8H&PTHVo0CJwNFNK
zMj#0%LBUSVD}YHd&@A-oO}q$RUp?POc9FF3=)Y$flK3y<I<QZ3$JiHN2CoP&P(pBE
z&BNx})v<KC3$GZCQcVj-C4Nj7KdhOYni!th=<6B`HjNUcGnS{6?hL&l&CSa7h_X~n
z3%vpQ>#a!?_#FcH_ioI*P-1d}H7=Z%GKtN-Yd0AdLX@#uLDI7d?P6p<Jgbq9yv{y8
zlt@N-Y3rrQ(NVHXp?g42BZ?hYI#K!EHTLaxbnGc^<2sdd>b%d<6ZwYQ=YkaV<Q)Y@
zr9$r*c#yy}1n;NX#>3H8c?OF-L)~>FbsxVISU(CMk^#O$Q)bf#I7D0cX{leLk{FP1
zIAjmLO>5%2R1HI|i)pYj{P+?6vDfZxTj{;|mle>o4QPLg*nZ)%r_(c*2Sk5pF^~P?
zhhrd})Q%31qe(zW6Xw9I5^kgu^^!fZXpUuXbESugGu3lB4l!jVh`wm^ba;WF*Y4Q^
zK~DBvL`G{6Z^sbD0gybFhasKB*`rsd(FpkchZu9g?$U7N{=}?9$yFN&wS;j2Y^Q)M
zNUbD|ZU6i%u)`Qn&YbprS1TEg>sPZF$<%n2#j2sZMvzUN{z@t7698!id>X5`4+yHc
ziuR}qq3vh)uRh}q*R|*>EvG7N1uysOd0uzBmVq$#m=^)1ZeF<fIYm>c4(holIq8Qv
zP2Ao22t8+mb5^Y(HlVJ?%Oo#>O3=gq>QcHL#nUg8Vo--xG355X;xlP!LJxSf9H(Gy
zEft*4Xos89tL<0T`@5r_SwS{g)M|d!cca)00F3FCRM7?<0rIIF6RMaXR!BZP0J8cp
zZ}R~#I298A#W{9Z^vU7#1s1^VCS%sW517uh685*!Sxu1O3`wWox>N8Y@<?bY8tqo9
znEqMlVz&Cze@SAx`ny06G66J?iUT877%-<Mm@m*wsR^aZxvEVyhP84%8Qm6#U5)5^
zYwVH!?jU7Zk%Nd-7T4{df2tB+Lxqi}elez^T>#P{&6;`C)F3c`S1TeoL@vv<?*%lU
zvL$bCcg=KPBt>A#vkvOsFU7??mYv+B#7yxc2{GcJ9YUILmk~J6x{1b#$!g@b<3%YH
z@U8Q@3<0B-+ze{$rV|EE9i~M`&u8w)B5YnmHUmaZW#&=A!B7KrkR)#4yhcEa>9Luc
z;dp&6+tctYo4Hh-dgA+1rCEFH{lN%!128^zyFg5;tY5H2h<3p;weeHd#mJl2qS5)u
zUHuMotzcNDMjQFDiR({SB*i4`w#)a;pWUX$5Wq!6$!~Y2+5@u2V}jW9FWc(PU-qj*
zFD^EYEBzUd2Slt0rn<cjmE7(N>v0x%#RL1MzK$c!SdSN)tJmGmu?q4LFsdCq*VYA#
zIOGhX%KCteDVMqk*|UBEZ0W0>Ihje|tUl~K1#2VW*Sz!576~TqKb^X+`t<zItRQEb
zMY4$Q%I@L)Q3KE4nyxmG{06k)EiAZ6Cy3{Ij=ptdI;}GZQnN}aYq5GN=KJI&H=6>h
z+m2UTVBYD^8v?1$7fT@_O3@cBd3DI59oIg?^_BcU9;q7)TVArqw?1Y$m~!vFca@j=
zCJ3zm9y}|M;i4B6f9cZ)eiOJYuo;!91^DZOi;QiC*aE2&9=22S=#B~0Ee1iom%})X
zpP{^K4oUo_uCzj~&9-lT^nQeSeGO`rPec|dS4{*Mse!ZDG(X7osC;RXD9>xUb94_z
zn%!Z>zz7pxjNUkSmHj30vj7Cqs|REU4MrS#w&>c(!^&rZiDTN~szw@O3%tTV)ZN-8
z9$}{M3eh+_gz7Xb;bElVBaA)1B*&lX=^G#WSJwA<bsC!Uk)xAdfBv@4qh}Se4Sg{9
z(G|^?2!^6Bp_t2B*^9+s0V{*Y$8Qv8^VAqlXSNT4h8Uulf9=bo%mxAyav)=q+#q>*
zn}ne-Rz5j3D0Tl-lq@iK&?@rw@deQLq4%Au;ts7i?^kkFEj^QoKO3hvm4M%Oi+xtl
z=SH`@^{kN7?SiA&uxn%?FJ!|c&2S|~+*$G=cO?PD@)rE%GDqJ73@d{nrWm%KhxXcb
z#GKUv4$^@uztdf>e(!avAw-fS6TEXEi;K6^>{uRrA`o?$t5X1ma7=XQK2)uKiLa1&
z#0pwDai<eG2);`0JM!ZA*0fRUzg^4R8<k!jZYHKKi@q*OR*^;K6zkm!x*}|`ICCz2
zEOC*)t-J2I`ubRZJx+W#&>+dS4*d|5xA-1G>yR9#mFg(n^~U@6It(HOPYu}=Nh#ay
z9EMdT=^pe>8b0&zx@v3VES!=vr6Udvc2r?4X;Jt_xjgN4+T}8K2uB?l8NGO%D=f~K
zyjzf;uJ7GRZzZjYpY5au_Wvvta^HpL&XsdZUP>|5ti<mlz|v@HTM@Wi3$j=iMdk7v
z>*-x)vi5vE+r|*``NbzI<00_RH`kHyU3mIs@IEkQTDJXb7(Qvfh1lQ&(3~gK3`C@C
zfvbxtLMmp$>?3nTokzt75pGks%%X%DgECwzS6Cbcy7(7IN&R?zKzAYrEQH<w4=5jK
z9A~{we~l(ixz1mQPE@sJ64QBAx9}_dy(>PvUIsG(%yAuz0`A&xEBM}fZ<QR#>uIH@
zv^J8V-yP(yM`_-qdx^KRNE?44Oj5_f)06XkquG~^$yc^JH<Y4b3AtU%2)xcs#ot|h
z9S;XKCm^No?L|5*e11XQp#IM`Oy~n4uLs_szm!gA<LjGROxpED92S&4G6ax;m$cDi
zCRKwGTcC?p!WQM4wFhrToXt{Z?EE{L=<+|RxJcw31Nja{B|#!*`hz$oID=U#>vQN&
zWvJ`4>5kE(7_G5fUjHmRI^($Mt-e@R<EK#5i*hh}1zaj%SoeTySlr)Yv&osRp8AWE
zZe8<YG+OBRHy%oewh!9J>W7Gf61<Hzu0jv=pCAPW>gl>ry?qZcf;ZA3O3Ys7R}I^x
zjbC?qHIs$NW;-uJ2ZYZOxH%hduk^2j7*W^9e&Yl#vBWT;EJ@nZ)VX=MZtDzu8z0Qn
z{<y{`sg<_YwS6iB#a!)U<`BSPFzw%a)?3D4LH?`gTl*lds&qjH2T8rpf5pwu(_3Z0
z)dfRf>Io<m)eAL*0wx}?M^WgPRp3L)w9OqyP9%ujKlhV3k*lI<lhENjpOLRE?flZH
z*?oV~+gVkO>C9`I)CC3`N4H~dri{-i-e;)TsQ65YK3NgHH1L7>o%c7cC)=LozT2#A
zIW6&noaBHGDbfyLfhQg@9SOID2WCUicWR7}5?pR;B%kMT4r+b4dDT^~nwe@6D)>M_
z{1in?Uk2i`T}zBxUZg<3^7yDsn=SpymE<*A#89OT{d5|~7&2+>V;_l@Jy|$!@nDib
zfHk0^5O9Xem1&sSl@w-1@(d_Mcd5SD1%s2)=vsDZw}0x#epGTAk8VgP!`+M`5h=sP
zv(YL2cH<t|H~BOtz=v=z6Zc3(79%4*ZyF{d&scvvAf*J@(uk@=Uw#6HUm)?!7<wNx
z0^W57%=o`Rip-ZE9y%dr0mIZO;98;1F6&u<^_be&xUa+>y%HA}XJ$@%@8qP(i!ENv
z(X}gzNt%L7syi|nwQ+Bp9z_3Hxa>~kr^v{tjV($MJy1^j>X&=rs<Szanp&EQUG4Ur
z6)zmjT;unSx7d8o?;pi?IWY?)sHSp9s-|w+rhoNnFkaEUuQBuVv><(T_}MKlb*)C{
zG$)_r32#?MZPCJAO+ck?wulcG<){ZSi`B|IN%Hs-P-PVFCo2tWM{fz<P?;5Jn<VmC
zBV&*-apik1uf05}LzBHy<-L=8c>0FH1RNhD>~p_@C{4vE{KiJ~<$?R-&rgOS0tm>S
zOGc5A?_o!^5;LOZod?=t%T;C7_sAG6z8JYq)bA9=LESTbk}xW(abJ(b({lApTis;{
z>T)yJOY8}%yA6DR+%CHm?Qh0lfbnU+u607OQE|UH=JhPq;)ufpeXLa?fcgNfdVj&g
z>a6RbX)cutG;d{RdAZ`+8jF)Fay^Q9>v)+mlMS+erQbaQ&0D-?5XM_Ito&l{k)mFs
zQ*Utel6hqgqrK_gYdFyE+?WpI{&YkpI4EntFzup2que#aqQz~SFWnQrlIrk#wxwBA
z@L^lXT?>98&DlqrUSvlCh+(s6zjcZMDaVB`dd5lI1?ws5m?SfPkd>wm)#RN!37t&}
zEy{6rj+L}X+N&GmxNwXB=BR&$0d~<T2HmxHyo_|2OjkXAzy7h0A%jP>%oT6C>Im^9
z$^H`*f%ie=10ZWNeMdZW>|wCE@yg&f`l-n6kt#gu5ypJ*glNOB-|10bY|)0EfSuu>
zWE3#<ZOV=3dR%j22D+RQJD;`!joUJ9fyX2BZYgUt_@DfEp6;5zJ;bZg6^c&6y_lqs
z+{m;u%P)t1K#26Ca!e{=BIDHo*!yvC*<%<{xdeSqv~WL?V0jfWdLFUIG$Z-Lr;!XH
z+aaabPfnJ900f}qJvmq!qTU23RIT#67z@`M9JsF%wvXNrNqw&``6$RUc?O)K3`jZ5
zrlIJMq!rYr0s~-qt7(cK=m5w7DAR;lbRiWl-lOBnDI-=tYp0SF&t2m+!7Cl4{6o(I
zj+@rw{;4hZFj?4<9eXfxiQ@FTTA5oR<|rmdu)qG!u@cw)FOr#0i-XV~lzy5?CuXd_
zQY4N2q5MHIHBRinO8D)r&>t)R8O~Odp`s&86FTh=n^E<JvXVO|iRA@BK}V$R%f3`g
z-bj=mPup|C7g$REI}Wb%o(akadhV0rf2udxv>UQIH)x1Ku!h`MV945f{_56nT7h0a
zE%jU04cMcX)=jI&F_y>Q+Ry>e8RzAMXXWMbaw~QVhot_M#2=&qDMl+!@nYO{Q+v5U
z|N5_^sf)Nh{2yZ9%r8z$#IDxgr@tTmM==K2Ni7PfKvr5DQAb54$H`F4QL{;&yzrW+
z{8g8kT0@oeyWzA#xoU>+^Ou-x$bq8=I%$c2@Q>5o49oLVYF{IU&tekaZTS_|cQuZe
zl<65B&)f@j>Ss<XYza60GgDEi7?67D1!`Fi*I@LS1FRNcs)fZK$U$M&NHwzt0Uiaw
zU&6Z>G7Qz=Ik2MA>W7~6NGpBB3Onub#sLM~+VB3TkVub{Hp7>~<Jl??`3v8hkHpE?
zn+368brw6!c&l^!mr=D)vtvi-X$i(cGeI(rc_$35+Wx#G+0Az1+lU7AL;xv<w>Zd>
zmkdD)foy(ab+mx~;w?Bk2mBzn_9FM%6w2JfG$(iPGr;xuor*yt#8he4xH@)k3rV$J
z`}2}EK)Bv6Q-_?*XSt1g4VR@&7jL$BZL5bMV#w%1S{jL$oX*CNT%130shpI#%hL_>
zJ1oNLuh{)}2f)a-_NNS38l9ZToNeUMw|VyD7E?2KMf?g;yLYbnJqjbKW?#d<lz!<g
z_ofEFi#xvuj2r+=fEpgE=?Xya0NY>}l<i*qZ0coho_7hxGjooksQ2+~^6r)Q{R&-$
zlhWJPT$3JFCH7Yl=r(9SBEc6YUFeUtlJ)r}wXdMJFrDZ<%Ma$(b}#NH@ZO*W#=uZ?
zvrn$XP9IZ;9SuCuyhHit1NrcB;hpHMGW3=s3^Cww)$o>c+^aAjS%mTBdUE>heEaS#
zdK5Zgr#ZLA6&TA~P(1_gmGE@3AO88FT84)Adw)&_88awFkAW%2;Fdnuf&yf=cK<s-
z_?FbTZM#%kZE{A{N?$z#>cx!WtBWp;3HRNK3{d8+QJza7+KbAzNYPrl^Ya;}(m^ST
zB%!W9DhByKFwuPgCVGN7nbJ|3CJoEA(!9^3mM2G2bXl+b3o9Eit)&9&*(kiPt%Lo5
zI{|#DrNj#>p23x~!AJptfK@sQ-ytN-_AtF#-o*dq?za$Bh!wj1ZpfV5!QBwwwZ&la
z223kHg|90N|NQDOoVLs}{9^|+v?UnrK4OCU{J@>%+5<??V~ZxI-w-<ngkunzW&|b+
zMju9>`v4c2P<WpV@0TIb=ODlSc7WkQoioo#W7-Izdb3qdX1j#ZvMO(0YbB28PovGZ
zBsxW^Nd}<L@6ov$<2}c^J4)UK0CGq%aP!k}bPT`x+u``{#jD4Xf#1FvKP^mNl$q>s
z@gp<*3|O51Fd&XOKFSt>9`V3h&Stj1+H~cO8-^5&a5HOZoMdn-PUiR;WXb3?Vluqf
zG{$v7&B(*?GJU@*poQ&`q5z`~9GQF%+F+b=gE2X>IVRF>N*OcGTXPGdNS`RQ|6>R^
z6Z$c7;O^{@%;tWFhRo^M5)3_1t5JtBI4?uM9nrmQn4?HYsox5NNtujl#&zqQCb5Yn
zX>t+>y|1`~#_^(LB~<%vmC*P_IWTivjvu(hCTAi(I!-eYmhEX#{lP8l8{$x-SF3{;
zkt_8w_#S<Mty`VlXs4Rt$3N;H%MY#X6d04U7J}B&Y?aH?SSErXyr8G8H}SqNwz7m4
zXS0=l3eWt_n)x7T1;t+%fQR=ehLUdRh1_QyI&INw(|V6$#(#vEvc$-}e9Yp*d4=AW
z0_Jj6J)q}Ew{yRF9c9>z`nUwVs89<&(YW6NU#OmU2fZX&PwM9`w@r%d-7#|6$vFOG
zpF7pZc$gvX^yV-w1EmeHwE0F}y?nJh&A_ENWJ}MEg`3&&%$YtwYgZg=Lzq1`ApUL>
zWedPfc=+L3q6^|P2^BKjju+d^Z(SbrMYLr=*72);C34=qg-0AHd2?}DS6<7KC|D@^
z$kaERY<RnQ!0anqq<>tnNtgJ&k@s?sGrfrB0Lv!KQEB%+NtAJz5PMD0+`<?5{Dg=l
zCR2H_-<A2o!`1aR7&#nGqalG<O$i)ie)kFX5h$DqveW5tjb;vNNzgUkfKz0Cn$KRn
zBS7P~C`hZs-$1FtpCEjB1}{<c7YH$z^*(<;L9IbL_8H(~O>a^rJ~aE7zSzZ}xl^o^
z66dJNEdOl!mvGtjp6ytGuLw?j$xc9phZ~sU&|otuGVv0>CXC{DT~2(*c+Zfy%kLCZ
zOcgW>4n<2%@Gv|7&Wb2&I_k+e=$KGjLPe3tksZI6K-sdOH)H@hVP#keWHg5~!BlUh
z(v_~5*q0_G^p9yAh9K;oZm|<6vf!<Uo_ni+NQ3-eaf_cKH`GsWeFU5pTD#-5)rm+S
z;z0ltdRePM@09lRv`>$#7JunUyT4o?OBm5_l-x0y@IOF6U4qHNFEkIA4ICPG?~B*Q
z9f;YfZ(a&D2ei|n>`#G0FU_Y%Lxal!@U40+dveC*#&!vN9tG)4Ij-49gfvU0EuLGw
z`Bp<5*u<I{<!MO}^swFXH|W);<DslE7H2I|;TgisX?}?dFQ&tLdXG&#Spj!CTE^uw
z!aLz5+|?#YX*bB3>|d@Dbevq3LxTGuKQD+of+-}wdjeJ`7!T*I%XC<4=-|HN@zhH6
z)ly<kG?)6kd0aSRL}g{)rS3B#gAvsNSIvG(RCNznjRf(%X%1TZP}jM&vMN%QZ8aQ?
zTJy>=G9ifzJ_)ASA>zQVPZq_XSG%=lm-y^KYB@PH@U?5(FZ^tbe80bVyS-Hoamv8&
zh5%Q9@uSx#q3EvI(o%}H*Y-&Qzwt8W2o^=jAwB?{Og6Yvi}4@M(nWWHSajzhul68*
z{ZJG1QNnZR#n(B~r&Rau#@w_f$8-JVwi5K{K8%Qs4cFoAgHMVMc-~nV5<-66H4<#`
z-pWMx2ms60;>rOe$5ya>yXyxnElrbtC)?61hNtKprD$&Ev+DM6tR_cT+|u^^qgr7R
z6Rv5uz-G$|P~b|e0Jm#$JG{w9rfMvebzV8LbY)bWRAVN3F~B`CSG*gtdG1wI7LQr(
z#`q8%kRkg#J3jKN=t-CLG?2*Wr{vKwk8u)$&*d`+o)J|^<H1wiCd9^QzRYAe6L#%t
z{xDd2mpwL3$U=SggYr`BCW=!nSz8(~F{2&K0Ap~(&CCq^51fl}4m)5A2}bVIMWC5e
zd1@EdzMLPlHE2}(x!zvTz!zvl+=`P*Hg;1qvjo&`BvvvvAKta|ubEarg!h*g4~UJN
zFr$p+G<1jq-^)QMFHXxKK8aHL8>IQkpUHS!#&~wVjz_TZi}Jo@m=-=W7?AI2!i2hK
zUN|CJ_#&X_(=xB04XVzqNE!RBEga9<mHpt_IqzPrjLRJ>izu?Q3yO7A<5po2e_+d0
zr`A(o!S$H~W33L#Uljy9<m=aX>BKA7+lPL=e$%_>wY_DolB>SI!@X-%cwP#NK{xon
z3XByV-%9(La`n0%Bq|reYk$fv%2#2;zBX?Cies&L7HW9_^WH8A2f+P97uN@y*6VJ(
zib001-iNjH#<gBB+Lk&oU=9NWNwbpm$dU01fWrXa_bw&qkK3AmzRjILDngi8!;ia)
ziV9oVkz+Qm?UqL$!dNoY$^BIaBkuV=W+@{wbVKM|KCXF}`Me)(uI^di&s}M=%=^k@
zf%8qR*-y@)`15ZA{*?%<w;6vraNUT@lKE~Zbae`D%{l_SpFGzSaKtUY=Fh$B3W;KE
z#DiO|1M3iUBolBS6yP5SN@bghyN_LeHlomA0d?=1*IzSaKh&zfk1TbTCvc=|+%a=#
zbh3VuJH`RT^;05kg+;87?E}bX>Mvg)pRWq^LA7D_(>PO5#f!4qJ@1YT%yM7HI~EU(
zD8KQgLA5Li<bM5TCqu@9TY}N9rO+(q4n4%C-HU!uX;x3(NIIl<R4o-_+q`SvfxYil
zz8+VaI2QPvv1mEpAdot!hb&~RI-Q{iB3+PA$t!@-eC2$w4T>0J1-{J&J#LeTWrWD2
zVI{|9u<_1|JK)H&rn|p)k|sn((c`_C?>SN2?tDf_KJh3w%m{B<|MW49o$v5`G<q>q
z)v?9xT#Mh!tIGy10CSqT)|(`|>>&p0ksOJsv3jqi)=ZR`gUO2EZ+M4}=h9Mfl-%X0
z@J;WYTTHjPd~4H!`UOs@rT2qfmYqy%pvSDvcBUC7Bb2i>h(6sTaJGNG8LE*kO)o3;
z@%?%M@5yssZJEhx>U4i^Mck`({c}MbEm7bJeskdgr;HbTKx+SJ2XH2%zqiwmj=xhG
zDyZ^SN%#2+V@(Fn&M@ZWfZQgI9wp_o>T_csT7TcUhqU%hha4eGw4SuTt|nvC#T*y7
ztza@M$=e_=%Mb_Q=NVBNr>%*j>2Vp|!0jX;uR+CHzqPA4aQTG3EuXm>N&h39D1Xia
z@an~izwi1mSn_&WXNryR#tTgegGUNp$|aUPr82^}I$mn=(Xs4|+&$IqjrO%h?z=#y
zI~&(C@$;v@j8_A;RDj%GM%L;K`Poy!>AFL@XOC^}DLDLG=14wEF3yNo0e*uDFOmfZ
zZqq-we~QT8nCq(PEO}<AJC7D;uM07sP|-9_r;hmEUk+LD>V#}@q|l%*y1;#id3NZm
zT~B<0$=hG`(DRJr35ktt1Cv}AllO0KGr<Vu!b@As-`#aY9YQ?H-_5rRc}Q*q8JL(G
z#O4k$5<Kwdk(`<FN9Tah*1#n~-l+48%Q>r@D4s6ZUekNa`|BnpsD1RTj2ZTR-jMR^
zqf$pXlxp4Y1K47G2u=E<ckNJ%H#udf-t?M@_SmGocXeoSbs5gf8mi#>?}<)Xak}21
z03U^`Uuhn5T;z)VXZeJRN%PK=X{8V4<91C1P|(ZfeQIXE<#NZXODJSL?Hws-Kd@?Y
zxhn%=*3Tx;=rs}4(aSNEmQVf$qChW>P#EXlP&hr9oG|9)ec535^IV|WY2qZoSOpwA
z&eL<Mccf^)6<^?E>^{8@^H{n@+fuRDu>I9FHUyE6H!h1Qt6L5~rI6bB!SEp8dA~P4
zAWe`s@R3}m0?h|UqEJ7VP|#%6mBt|}nbw?U#iGHt_^Qx}q!X?$z*bu&#udMvhV5zg
z8UT-4nEo4UYhPpq*ws>%A?)p&8SAP8P9uU3GF>fv^Po$;4;ax|JFU9i8mT=*cNk}B
z<mf_18@(a@)Z}LzezPd#3RyJYuKvSLZAzoYtk0=~EDp9IXTR%o7yN3eZa3(bGP<0w
zdq@W=Wpw%&g{Oqzbe?7TwNwqxg8WW~SI8yr``qn+J^+3@c^_kf+81ya2MSCLTjs|F
z`R`i~<XGUP{I#LH=A5Lw?PrVQFGk+xw)o=Tl}Wi^R-U;{1(cBQ<z$Fj!|X3R1pJ*2
zxiEe`G$W<zm-3_RHQl><eW}!%^t5jqUY(VtVkrFInd6q}qK?R=eBVilLyoy6CXJn!
zGXP(p1ejqJ&Af+%_CuqK(`SX-oQPsAzxN~}?r&|8(2956Tkv_z&VHEN?%XYl5+c)7
zz2frDJ6JP@O0g!uddI4)GD?Qp;zDoRDs$b0xa>Ltga8_^E9||0a22FV()(5-B^Ee&
z%PxuFQ<QZA@sv-c@LR-b;cUSEHRgm!{uvjB0%<Ak9Mx%{@?^O?gpY@%vMD`zO$QZs
zquqHrpT_;L+EGPDJkzsj@j5Nd!u#h1a5ji=6tqxT`nX+|;q;TZtL#R|e(lAr8%3u8
zF4X7ecD$W8IMXFe85!i`U_^MSx^^%p6MdSrI)3Vw03c$C<(H#Cj?{+UD^LI)tj}uq
z6fx*{5)F|Swl5pp|3a4bDa>Tb;1~`PH6v3?{(m%m1w&L_+b$r|-5ny`-K`)XAt)&&
zAYIZqAl)5OqcliLcZYOKcX#K+**x!e{=w|oYpuQRE8$OPpiT=w945UwlpqKEQW@lL
zr|a@^WQe?wuh_k!4Gf+!Bg$ym23Rq5)Q@QBrDX<KTCC4!0(zh~Ub>*|92bx_16Q9f
zbbjiY<56}<GpVqu?zJg7c!h|B7O%rsZWRk<Cjz$Va0n`m_j&q?6l6nnV|(<IKeWZ@
zW@6fsDC(9`KVemEr@&wu>F3`lqF*T@@Q?WDQr*+4G9{JN>*v*n(vs&hvd|>9x>HQV
z^|mkNb#tPZi7MP)ch=J4C!^8+>$~6)n`{EU-K-V9o}EpCnSl=52fmS`7c`qonXO?&
z%*YCSNDm(8ykZv_mWwBHWFl*L`2ltJgiAk@7n+h&Y@Mxg2%cA-+)r-g^Txp?T(R@c
zOyewrU0h*vkjdYX^oVJk-7XHjZuLKz_V6*t!+2Vj&#B|8xao4R*~YTqb(x>2wr}!o
z1$m9fFOpZ>uKTIAq7UA}`R;nxH9;i#OH1z-LUq}&(5{hs{Pw16q(6<Z@1UX}j)W+7
zTo|wE9#wk4Zzv#Nc>6zC8rAH9{Y!(47I;Hje_VkcuN9f7+~@x}_WIhPuYEO9;JeAd
z(?HfY!w<***_om7A_1G;A1po`KD*9}A5|;ydv=sb%sg_j!2J2{h*unoKovUqOn%>V
zsx~Z_F^}WxwcQSk5O@bj204H8AvsQdt+Dq@>DKXZMis+j<>4QY9b{{4fH}78de*Mw
zyfo~{h41&~Th2_L8Jw?tAFZu%BfP2q?M!cA#}Owl_a%LR2FY$)wdXX`-?ZiuM8uJ(
z0^0f87vTG+HCmB#m8W%U_E4r#>Dbya>=XB&yKsv%!$+9)04*rrMafytB>&X}1y1`J
z!XL_S(^VS;wh8ulHj=e!O3`$YjZOEmlkcdn^F4qk(GW+H$d)>5z2XuFT3i49LO-m8
z{uQa=-=5L6=u70Y3_s9_L(cSU$9cN@G45OFbhdVyUB7}VRmGXr82CWXIus;LJkIxu
z!EMs=_+V}tW)m?TrVtrcJE`S|S5FA)j_+Ql3wZcICG2qBMEcotqYy|=>L#Gn;BoYY
zefWlxyS&WH5ST=c4j$J&bTgfh_d9{aK{jwf5TF{y`gbCi785;BH{Sk8N4pJTW50!2
zyr6@2S6s-5veOoW;oJCr0j}G(6^9>*M>S>tdoP_w$hczL@$yo$98ZK<pBF3FFVa<$
z-c8%Aa>STgCBr>Bu2#C$)gJ$HIW0R-4^G<kq<xLTOC*>k_)Vyu7fk@s;a`qzY?+AF
zv4~v5ftI8hIk}G4N*H$Ca(tD=kPk$t0wD?O*sA{E+qw0-Te|ZbPUT8D7;;XToI#JQ
z-L+i-q1wV|fv|j#-@{JYS}2}hr3p*?dkI1$`5+lgk$ax2KQ&$X6Pwe=s4A~s>hJ2*
zNahpitLkbBV+(2+C2an8tZ7gqiil92G)}8oavRiBA%Fe+Xbl=<o&WQ#-eGGH+qzm8
zS_SHWtQog^4gLzV!?Cn?7ybQpudgC<qBkN|Dn*t8&dA8yp=SG%<7J!Xujn0Li7-F9
z(c29eDkCeF6jHh{W;F`Ttw)IxcBo?fI3)`-$_B^chP_kZiYf^2VTmZqV&$B!PPJ3=
z`8A>Padqth4!IhSdpOhq>Q%PaXuOe2UOBM-z$2SO+lJv&FJkI@t#C9de3)9&OcAqY
z%y&n}Z|T8hDtx{d1Jm4FgxIeAGaBb!NsncJAFY!(J?8VdWTW92O{X}@KcL@be7~G-
zz!m;fW0J;!qU&RA2<UHn=^K&^X9rzp-nru3>g=EI=ywH<(dr|MK@%M=hrP3NgES)^
zYQFt0Z+IL!@mPj|TaF)p`JZ(x;4LlVab}3a3shV|4?8+`&s7iR9lL@o;fze^fxdL{
zj;OTEI_<}j6}4OmO;zSrj87qT$!N&;+)v6<=jxizXRzp7gmHks{|mGe8L%2@ov2Uf
z_>4Y|+5K>`n}FHZZsd0Z*<#*(%u=w3yGvxDD#~EwaV4{&Ebh+No`?7H0Vbf5I^Rs8
ztf}c)o%{tEKj^jf5gnF3HisutJ8;j;cD_;-KCK7hrW85<hz{dskUcJgQm}N!5Igu%
zZVCwLu4gK5!i=+|jvPTxOX7p{A;F#R<mlGo_V4#<KHqh%r(xr|6G2&UUvF#=Qdrd#
z2ijBF=;U4|zyI%6NsjdFFF*zAV((~J7)R@+_iMM~>F0&qEQ7pkI$_Y^r+N;^MqC<L
z%z6rCEmtemT7Zo8C7b&YD}tLvj6`fu^t%wt^MZKf#O<U9-(j3AG4`ZjpBOuEcRWLY
zs2icw!lLhHuV5j3lN27cVPgUhA$cJPpX7%**B{LMv;E}+=ttJjo7P@FWM1me)6<5(
z2F`yJ<ZmbIX1t{s^~!>q4gtx!X#8CDIbI!=p+P%|)3>X=h}8~~ng3h<>u8<$WFCM~
zV)g#GOizEt?y1M9T%F%ACuM$E;&!P0cuh_GRO7yf7$os+RB%qh`8?Yv!(!36uH|wb
zdrdJ~Vze>cj)l&8d*@T1E6zn+Y+K=s=$2o^wrr6lL=5X70~eX6fu@JTYp?Wo+2b~l
zFecGe|7A5}wjQn-gP0C)yXb(oKMCDG6S7z$@c3h3Mvg{C{ss-liAL)WSo%z*!9*FN
zkLG~vz>yzJ3UQ7?lf9%T{bwHX-?b6A`*)uC-?h|?0f-f^jV#I>tk~>GLVzR_Mf7k3
zo)G7o?=)KXkLGbM!ZBNjXbcJ*-G$N`m`#0?Mc13hzhBu58A=mu#BtFNdh-A5U<{Dk
z=7;L7YKz>?o7K^0=Eq|q^9&f>|5aixhv((Rd5toaDrD92g}&E~Z?*I_vTfJ90=J<n
z8U=&5vm$1)U8j^34P8bB&!)OvRnf3O$lv_FSDq_k3R2)M@Vu_PSw>`IX~V0|qWfEs
z%fxud#`ugk1_#gu{5!O-1IkkTmH56$vz0}Dy!i(+N5#{Nr2hSvFGuhaV8>T5fq~~H
zCp$a4gLEVGT<-4%B!Y9-x{a!f;cG_G1;-}sL2=X6Wxg?{QqkfT8`KJ?j&&OgF?z+9
zs@r~MVd3IB&i}rrK|4AbS77rJDx7(v7kOw+c%;Nf+=hV>Q_*n-f<O88vPhOD)ifpd
zl9N6EcH>VL6qvj(v{e`a){CT^i9IlWj|pKX?@#9}avA>j+Y#_P``6G>*B?oDTYm<8
zyyDFG0-E7zqQ25KG^*kf)Mtw_9=->;-o;Hdt(g^PKLM{vOTxwZ(D3E`iSJC#;{-i_
z16V}m2knCvsCq3wFUO7{hU2dtM$;PvHQ0B6<g>}6rS({jdi66pJEF9QgPdH4+%UE-
zrUOTyVs$VJ%3)B#f5_+kk<z~W2@W9BW<j)&b=0-eW092C$f2}I<s0iy-}h`n?O85G
zI=?#-)C<1L-}WX}HY&qiFu#`dJA2jlze|(T>?a*+uQAcR_X2PR`Chv)vV^bmw6`Pv
z(JxjgOgDTrHk9bm$zQ*M0o;=9hPn>Knp@;fM_)&t#86=@IqA>v1sfkxn)2hMB*yYz
zkDUUFH+F2-(I+y-)-ul5lN_q_MQELWL4<0sWLoICV&&j{R2E;ZDVke=XfKsB@|#q-
zteB2}*0z8DwoVW+6T$9W;LqM8^=E;{T+OOhG9Fp|e;)uYSCBZ4PQ$LBgbCMmjWl<>
zE;ed~T=c8B1fsQ^hyP6<0rUY{J2$Is54!_asSe@#_;tb#G8yKeTHC5f&v<8+vrKsX
zl7m6x;pOk!BdX~K5Zl#+k+VO*1AK}%^QA*u;^2~8x8-Lx{^<H-d-IqcE0oIiIjds3
z*4^q872YXahr_+q?6fRqkHg=-K@^kJ*J)v>g0p&qlSbU;y47u<()r1oP`k}x_F=ft
zvHf8eQc$;yBKDvwuSLSC2RR0TzYUf0eW!YllRq$`U`@GG)*Sm#DI?Gb55koyX`#4u
zc-izq=Y$_vVLhmUpMgLu79AbqdX!;oK%L+qERjkt$N$%WK@}I=rIPXd4S^~mxEE3v
z#r=~4Tphc1Z*CQu<1Q^wfct!2(ZaFl(Td-%vNu{EXduFw&3YTpIjA~1diE)pkClG>
zJ}if}T;(eM%@oVbgXI$+Nb_~Wly|q|6rqj0R*GX|E+;^JCxt(vOT|`(-t?W%ap2Lo
z7l}HbbEONkC9r3T*f8V=rqN@A<!ZVIQeDR_csedy;$Vf@VR^2eqtdEVZ<qfeY0Y;l
zW^YXFsEn6Nm;9>q$#Lt-m?=6S;0F@Ty`u|zRC%)^41l<wp46nF*Kt9o>T;P}=z*r;
zG8N@}fa=LGOTz2hLMbQpOI|vT%@X{W*GcXvSq2EK)0mH(Ki57V(L{)^|22yhErb$+
z@81jni$>gL;g3ZgDYub?JLLYttfjfRzpkMnZs2#&05L|kSxZaHfQNg1j6u^Mo{I8v
zpW{ek`>mxVOf%E@0l9Z`aVPuxWY`SSC>D86R>CN>|Kb!@SRmD{gj)j5^D8S0bE~Tn
zi0jx)@cUw2=EYi%B$Q0>@lA+OYC{jc%<^h1OmECofn4}4jw!x%uT_-4?CdIiCZp|n
z7{$ZJ`(L%HA9v9gtI8zqzvAm-%4*v{K42*J3Ulqm>A=xJ$-^TqFukmM%Oe5Bduf0J
z2#NDMHZx^2uLvXlyNy1}7@?7(8ZC9AJ|}CHO-w&a34+XPZ0u$_LML0++7_G{V?srO
zMAxdPYcX{+uncuPp^UrY+685VtUZ6$6P?Rb#{Q-De-=N{y#?G^1+6EjPhVDsEfM6)
zEL`T{E*q_G6*&+4*B0!lTZ%J}bH<HGB3XyrkH^WJ!p0uU6yrjQiGc?%%^D|jz)LQ>
zXYg}WEFsi3W+^E`<s+X=ctP^Q=Tb}fos_oUut78I;=IRk0RZgNy!9f1)r=na8NALu
z!GpBR)3+P&#EPw0MXk^ywCSN2vq;LgJL^tcsPJ(eC3+9%U+YFFCDRH3?Pf|oY$qAC
zi+G&Qbvmku+!Mx%?&_|aT2a(D6Z$am75*&ilvdCRnEP&X|D<6dnItsirTJw%S>rVf
zMI{}M4#z_LV)iTHft2Ry>fxXHQ_?6%vP=6zjn^tAT!pJ?8!{@qcJ29(+nCpqfi_bn
zm~^G#g0g<a^&ei3^j=KkD(b~{igk+;Q`_<ud(7du5X-4UOl8D}ApP#+mzYd&Scy;0
z=gAm(%pX~iX|PB~+($xYlWNz#OY}4e_qDP;Baro_xQ?;US58Rica$v%7EV|_=s>;&
zb~Cng)>+XVIK!R<{Q-A4W4on2OU@dsNQ15^k+xs-vq;3jweUdMoB&LXC5)`!*>%TQ
zj;SMTM}aO#Aw~D6&{WcVcqGHBPP^1}a`tRA)D5f1|9ZK}#X|}R8EtR7U9<&x0-2o?
z4OqhFv+Lwm%`e!wG?N3B_A`PyZvWc$kKLQU{F+Ay0_UT{6C~kWjrZN+?h6)aFE(T>
zqPm$CxxQqz_M{g#g>Z%@e<Q(F1mj5ByWr!rh*)YMo^nVz%m0`+_g!Tsq>4QE^7}QH
z8SuGy4w*h+^xjylV=IB!^L2D+^1Bb9n|J)sox84~Ytr`-<ZN(>r;CHCoqHb3@(@)#
zTbX7uL7N%F8q4uj%OYxz)_wA)E|CRG^D?)`%ZwjBoKYAkeK5c#q8GO2zGTmQ1~gsO
zpdyFQSj(B9;SWMD(6BQpgkM`>zR=Z+d^_^@FYcy{<IbOH<ZtPp=w)_zu;<?`8iSxW
zK^I?xEGX4;e5w8IC$fClK9_cg-QnXQGILT|K?vb!K1_r##(?~XqFcK~b$>n=F!yl{
zW!6&)Bf<_VgZgB8P+Z{F{6(7m(zd0oXtmy;mJLSCxA*RDr-Ix?sB$m#>!(S|s7N+4
z^x~*4zW&?f%_ZZKJm9`_On|j!Py5i-vk;MR8H=5^_g$%th_gIbxAc)30e-lhPbEa3
z<zTm9TKN4y8n9^f4m1lz=y|B{2J3>x<6Nytdxel+e86aNc%l7O!2g}e6B?V_No+7N
zmb~C25SZNRTr(;p?z4!_OmwatBz1$^`0kZZXHXDm)A34p1D9?JqJ^670yxcNQE6+B
zpVpvUYxfC9!X-oxA~^O!yUx{=Tl=@VSbUhX<!K9CZl%V9TF%QCHMrQGvBu>cI|kz3
zkUCK~knklB(td$H2}afVUVu1ssc4+-qQU;N8tBsTJA+(tH-`LqEKVJ!9%Age@QCbM
z06DZD6rON3@8_0h+dgmmm(L%ud(8s9kii(-DC4kB^^+f%AHPVL(kZc9XY`i+qGGYW
zGIa}akv=@{!R>I2lf0d`7|Rls1O)fyLzF_XnSI`gZ%WbHuoSFU@n8`kl(u{VnAi^@
z68J~v(T*=0LE^_6B0y4kec*J<PrIpYu3^V^6&_~8WA2rYMAP4`1Zk)Lz9|}Ki#y}#
zg8vMmP7+vY8N4))(dT)Yea|zdKf^i)7Q4%rrghAP`3mF9>yl<rdSKDs{PpT=Jy`{e
zO6~&&rPpCquO#^<{Z_4%CbXDPhjaBz@>lEip2nRAs6B}Li+i3_0Wd^_F8;{!eCIVP
zO8i_-sPQer-D1;3p9tU7d)?!o`0{KF=5BIj_Lq(%Z_k^#1k}K=>mtYI!^7XJc_{el
zH$SB}{y=9uSqi$W@bO$#qH;1KK$~Dd9jrd0Q+ecgGpo%G*)6NV389848upunheyG3
zDZP5Bgo3y@)o!fCtzx!AvB`H2S|e8qy;6%V80qU3%Y;u+W?<>|6tA)~`feK<R>hjD
zC|p^m!NQV{_Q9G^FX8RSqZoX<(AV>wIPEko(N7)~(zEpb@jm3P3*L`r)8GyWZdx84
z=oXhdTNich)00Q|lh06=+<y=IL>Pd;XP;+2lbvRW<mEu3FW+OS^g3DF4jujVM2Sg+
zz+|qebI66=5<K7qS0}gg>Cec!3h5N4$k<@BPl480MB&L5@Ox$$I$Qw$XauqZyNsO)
z<%r#srSfVz?H)|HxJMcGhp4ftY{#Lz8T#`u{>pzLm2nC!3}fX>al+o|_9|y$IhB#V
z+e;&IENnC^*b^izm*QGStUk|0y%k|B(YZ<LXVd`Z)q2Pp<nS1@W|ilmRDCp#<(5R3
zq(GmjS$cr@Mp@YDX}s2&IVY|yxzbgQo}PyTZ?Ge%@>Zj3_d9OX>gadk;yWWTmM=un
zTy{j7y2}4HMIj~wcYt}bmHT7y<ZoCjI**-P&mW1J7opEDj62hD=gJv*TpBX9d;FhI
zy^EI(m9=bcnXy+&>+_R*e$hmDA8abUDt;$=rcMXDJl1u0e=@E7GegsKGgDxH?1p1V
zaV(N-_G1n9*!4*$dND%hteEz>u!25QS^I8=4h#TDAlL)OirNGT5DTxb=s&c0@c953
zMl2#r(=0ytL8}^G)BmJ#nP!|LjAPsg)wE`2O~bP?M7}&*AAVKmrrP89fY2nVkXY_0
zo>u>oQz(#hB86*jLSBXW6sYc|?zlQR%hG6oIgtLg#{F3)w$AzRbrXD#d5O5^Nksr-
z@P?f<4_Aa(PZ!#w?iu-uu;oxZsJkd^#Yt=Tp@l{il1Y1#0={Vm>JmZo&}<7x(k*@n
ze!Y3E`P+YucJLBoP*>1+D#rUk#D9!^yqs=}Bbl?nfpRjj6(@fBmR9@l6MpCf40>H8
zEos>wO>V|!uKW@`kmSuzL8;9kVhw32{)Arr=$ycu*?omg%E)BPl(`{_I?rIOtWQEK
zuG5q)=QX=}#cx3fU(!u}%W4h3QR1vddNbN5ec>@k2%F50N@Q?@#n4DLpI?E2Iz6XQ
zqro{>+kBC)RB|Yb#-bm8d5kA{zL5x=+jGDpuO0!3X3LaMR0(EQh2n5h;0E#7SUl-M
zW63)FWPFJTWy{`!=B6WCVE5$?vN9J*%A$X1m!t{{)Xqzgcil*D%TLalk4}F8k;^ew
zB}suPrIZKZvMe$WCMVKBF^HWsfQjO~yqbO+?5c!T%Y)P;-9<WG_}lQG4|2VjB8$e;
zUV_F)+gx)aLbsXRzh=N6^qo1!^Gh<j1J6teC|L2`S4pLz;hHa7rY{RVY~mu9$`<l?
z#dH#V=>LmlrR0@Vrb{7g3G>;D0Fen8YXq2AT}W@$^24Ou4ri{+0}PIHbxozZC<()`
z#@dp*0xd?eB;?iFlF87gY+w6V6e$H^hy*9v+^BdcF6sU==A}n=-D1CC#wo2k<ZeVm
zKn|1DCr))EHn_|uH+vj8fV(_4Fuf<^ZVp#2O=Ya%O-ufrO^mrBv(N!>t0$I?=+;Vh
zFH%_(@DPxiJkH(hmxkuXecjeKQyft`t+yoUYp^#U^1{g^v@k$ITyvnVE@qAUA<qcv
zGa=bCs#@gmx_xEd@)SBCeNh=H)4gU&{^QEAvQ5hP{_vOa3N=oACMRmX#pWxTQR|)v
zepSI2<7*|+A`Q93hu0$7%FZ9IkRFBF-B5Yen`g=0b+n81AE&hKXp3yp4!L<Qx;xk&
zkIoS0S6^yaSafPQMb<WO+v_pAUT*&_%JyEgjvENdAbo1En(V&aij{O<)2&ZdL#us-
z)Z}(vjUIlYrQz2hf1D}*nfk+!`xi>3&&L&|*J%djwwZFhyMR`t!(=k|?INA_jC!zn
z)W{?IB<=OG%y3Xn^Dm-Lv5ixn6-xhi5Gtpx+59dyx<3HHkEPd_JM=XtzmWS0gvtF5
z`ITZC8Ox?x-&ov;81K=Mb}(0tET<lo=fLS>1)W%FLyFtKE|b1V;Z(Q!?9w)waEFCX
zH-gES^Vx>mwcf3MnL$h{F@0~vSoEHq7Ph=6wfFY61ouy8fd1Dmm+;JLIAy;cJR|b1
zLkqqK@(=W@FKFM=s8Anb1~{d|FN_NGEj^a>BrQ6MO1~4lg)upj=rF}=@Qs#jE&x;C
zKWTt`Yq0qUl4G71@#jS-D@IU5&j|V77Yx^yO&<hwlwZ~yRW=wMwG!~xlRHx|4?`3c
zli~N^K(LaAq1cmaez3wdDcj88LhY16CPBcw5+>^W7;nrG?#QuLOaSvG`ywW%&-d|P
z!AbCLpz{1O+j;AuIQC_%9~p>y#*^m`{7~5@bO<P?c6=@XEUlIUNz~)Kda8%1m@<fH
zUilwe+hJfkq0eU_u6?!fH{Mlr7TaE<MgV4o+5uddQB<Lizm1SWnF5)85^`ScD_@QF
zNMA4`p~I^Z;?5uLO4R*IozA<AH}XU|p)s0nlR=F5QMv9vl<Jy*YOJzM+fMtqegV1D
z%bv|}Gt8k>+>^KMO#F+Wq3eMl)lxHHI-m~0L|%p?7y`@Q{k-HHh0@OHP#v%o3f1j_
zd+-u9i$x_{6=kLGK(|Z?hsnvX(hKRU5q?mR7UcS<9z(aep6>a9+^7#J{>{G2JENUG
z_}=g-^4+01Ue=t#Yclj*x2Woj)F>0D#me@_!?Osc+^-CeHG<d$C2?HyD$Ch(0SF<=
zOm&gfNRB-}ca$xyPgq^SjPt*n5hFm|(j%DfDaWXONJ@p6BgIBP2-^eqVbs0$Z7=f=
z9U)vmOcA?r^g*6g-kxo?Ud^j2Y5?r_iZW5W#?NtBB!-}pOwklpOfX4jF)pOG%P@-C
zhe1z2faX5Uf~#`BSJe))N5sEfe6q7J;hAH9=E*@zUjGcuZ}<BIzb9tlCKBU`*lHA7
z#|V_Wrq-*~W`Eg{#E4C#56~XsN=TkteR&D@-31eJ0sg*|XtuY2noOP!jw3}EGnbX`
zXNXekCm)YAcer_T(uWiG=Q0vUPQ5%n-Sf`SBSngGJ{~5M(uwgg(kY;iz&}xl=l^zE
ztmtieH!wUu(w3WeJ|=!R38Aj(3_Z6j(`DN2&EosoTb=gJ{Jevj_Vamg^U5*VaIeUu
zlM3J?eW>InY1u&rKPDfI<2n>~tj!mX-5!KY=iyhs&Io>U`tn#S5MsO565QG(2@AF+
z4gFP*TxUTx1l>!sgkEwid%m3X{`Y#83HdTa2AFDVt(v<9KC~}yM;RjOWV}e1t;X0v
zkrU3;_OIj1=~#2^A1Ml|e?RjZ^p!V|neLkeF=t?0+aFtO4DqSaF6oQ70M+}r`G<zT
zGbJH;abk}KPEI8E(N-tAClR_ho<F0Z!?j<`c>XnQgjdEz%~Q5BtR<(WlX__=v6L6y
zFhCN|tl0EbK{k72Jind@X%{CoyYNX{BNX5BR3|s=6D=Cts?_f=JO<h~NM0YU-G@r$
zGTCU^V$SF!W}HLWJ`M+8Qc>Qu!!1qnq&Lg6E&K4{EvK!v(@TyWeu;NE0MgD*FXNL0
zr^Af>@=b7R;>X|)=JcgP#2`j)czq{sWLa8jq>=YQfodfC$%hq`n{gs0vO&=ty$~Y(
zyAP6R3%v(~AlZ?P^MiglPX2)0VsmZ+o)^{EDTXt$iM}QQ$S`IIb^!?(G(h7wLg49Z
zX>PW<$r_6a`_mK`9gV;DCtD&f^;SnEOG-e~+d8jkvEZnn;37fMbsM#{bf31;dIih}
zeb|pR!FVMGe^kY8gxjz5^mh%Yp5~eXeNLSbgv^U{djqg+moZW1y6X{@?l|4&ft=Kq
z8)c08s_Gg#XW)@Aa=}WgraxfvaRKZgyJKD+4>Tc9Cc}<!MUb@-`({#+R!p$fLv)5;
z$}uQGsL`U1azMb~Ed_U91NtJ{ZdZ?@oa{EizZ_l?&g4bgLr7S@8(@uY*tqN4h3A-V
zQJ*SA$o)z~?~2x}*4A{m)|==ywWwwp69HwXo_aezw)nY0c@^`qoj3nVN@3%@KHm<P
zx}ENB?9F{X21sH1`?T!@U*pxVW{Gvc7_o8V>_xc3O3p>^my*ATw~b!6cLul-5NTyb
zYi>T#=Jc$&0MNm2GSf%`B+eiiOBiDx#`cgxev#-1zx>}Ff-irav%Q^D(XPudP>>F^
zF{!Dk2_Jt;yW!}jzMz|D4Zz@^Qtg+%P`{76e((Ss?xQ_ojitU1b>EDROUbY)Oq(@p
z8Q%SV5aNGjIp0MyoywY0pD^GuA6ECzYf9py6UA!NH7v|y-`{4=Xc(Mx)0M(KmKprV
z*{L<nwd|>0FK<ooVC<GPiHo{rmc*m8+GvtvjQWH+Z)X2;T8B=axWp^JL*%E#uQa|E
zVmfMn;m!_&VeK#QrYJX$hHG2Cw`u!Gt<JO`A=j1T52MCK>R^W@D&8q{A~U8W1@3*>
z&KdTigs)p~(jAS6A0zKoG|`eHr!~GZ-vda*g0Csuarm#66n(rU@;A`;@f&5^;>?$%
zIb63ivMF_}<-s#t^k2kbCMLf_Q`lQt_+DtgjiR^~cAe1G^5#Tkv>R6iZZ3DuD))pD
z2}1DOC6A77pysDTn2N$@Zfs8;b3puz;{|JM5|v-+)@hy!t?COZ9brK^Ma9&Ve8smv
zr@0TN7VNckJ%^1Od{4v&I@<5E;4NN%sqbk1d^;V^4BA0njx?d=P}AkzD;U*l-v?y8
zSGH@S8#f`sYc+3cJo9LMvI;dplAj85e!zldX{LVF;A$*Iyuf%+>7tk@HM^GpoV2{n
zPfu%bSkK4Q@IhCrOBh&{SM?xec~fHu4!E`@h_}|)2ZC9%@di1O9&)PYiG3HmI25Xo
z$E=$4`D*3zL^yYm1a2domAK0jfAE-gmuc!zPDs1{EdDzG)$iad;RNQ^1QCP~Bu}@Y
zPN%R4c{;so7e=*N`<i5;`*t%-K~2;+;4h-~0BtGC)9{CXPn0D|Yz~SXmM`2+x3v(H
zuZ1~8cFO$HjJ!vK`ubFuilNMLIS-_yTsc+Of7ogDoeuS$ZqtO9dQ{W67ld-9%lWeX
zUNLmOi~e&u2f}SHA$YZXP1125!hPJ<bGu}Q)Hqf>7b#~YBg1*G3UIV8gZqp~oO@v5
zVi|!WmEu>hI3Ty^5O7YO%uEO{0vjSgrkxrxa*3IIafvzqh5zCkDD#sx0r%JX&Z&O5
z6&!t~R{6_G-9P_7hP3M+6DTLaoah;Fy~K5q)YsMH2`O9??^NBDATPcOj!Wn6%~P&Z
zFhatfAmV_M05j9R{(v-e_Q0<S<$~i@U<55OF{pfy$}jnRk`Se2??G};ns2r9q(f8C
z*KbD=?x*{2L~rkEsbtJJ$BY>Si@R5m?d>=!(c7!>>lrDhU)_^drWyF<@z*~5y()b5
zUflRp&)1u_y!M5=CJWYY%kz@>5atf(3WLM&63peGAdO}V2>_rbFwnLay9Stw$s#!k
zTf$p)&0@TW%}UI_?Ts;Qy6PKfdl51wwK5xU((r#BF+0nEaD9sWr*K^~)k_4j8#hVl
zjm;V`DiOdboMVD@js=u@!9>^5;rPPvcIb)YX#e@zUsj&w@2wT2LQB+cetz7a-G#}s
z&NTE##Bj$q?D^GOzMMsWcrsInaJ6xfnK02kzq-QVZofSIvE4J4B~2T<na9n+5cdtn
zfeA78zj=S#!$pC+;)&9M0dk#Z22G)nypr4(M49T@<rL$skm!TYFiSVVfjY^uK4dgm
z20*8O!&m&Y)<<gG%Dg+`)K>DUm=%lvnKX_<tPjcBh_#4?!|V#lTILaWIA3cIh9+_!
z&=1!d*^Hq!z)hyFnf<@nFo}fkAb+N*(U>NGkMXtUTpdCPW3Yfxe*+lwzh@Z|@72#t
zzm9&KsNR$I9{dtw&6kchZZuN;gLoz{Ykd7_6oJzGHf(3-mbvDQUqR}s|M<o*t=A=%
zXs}6#1;k?Y7YNFXRN6z<PP`6@3IT|&>)RFz_sd_?#fK2|mk+%Vy<CxE82Kwrw){Rh
zkEL_(C^d;3r%Nyt1V76ZUU(BxDiWWij4aDLrNq?djZaW6{EGRathaTh2JY(SM*Pec
zXUlCR1G+=1XKXIguvUYCr;kS2=;*h@3!`w|B>$Vp;vN#E?sGRk$X1K-qy*HSUkFM}
z-t(F7MGR<@drYI-7>{i1>g)*q0QPkmTM?S+;Ulo!h?PX0Rz;t3P;!m_p%{_8C9+~Q
ziuy0Kj9;<Bs7jm5$oqa%dc`S}fAn$GTN9S74DPdxnQEHorxixz&~u$twJiHwTl;Ik
z?c7uKpfWB``k(RrU17(Ca21{`MH4T14)Z+~YUpz>eVD^tpuM1$J9Q}(H|`)ymkB5Y
zL;e=^tb4JT@4`EL2u+#hd38@7=5=XA_Q&RrS3&g{Rx?5U+>I7^aqIp(hz|Pzm+BQ2
zzr^Tlt(1ihdl-`q^QVZ8PK`B)%6(kz!(AWusn)!2%_vScwzn-M_?r*jo@n_f%{ye(
z9bOmn{rHm15iNl6aMC2V0+~bO)iCpu$qP(O{Y)2D?y@JL{hO-~24{iNy5<l;28gri
z=g*D#RmV9`V`b_D1)=_V6mx6$S|Y3G=WX%?kv(TB^%nDEkjD+<j-vecRqIx|Rof;D
zYey9wr+&{VffQp>08uN!04S~eb;sYOC%9<T#5wf|sI(;>eNy(Smg*f`?BDdO)t9iD
zDMrNw5+&Xyx6nfu;zjrrej0F}lPQ#)=i>!q5!jJtmoma|Vt<iWO@CwE=^J!SBAq}l
z2o8pygF(jP$F{>f^Pp;a+8q2nk-ZM8%2z?~#BI))5s+I!ogDo-#Xd^Hr=tvnwrz{R
zd$tdc`jx|Hpx0(v{l+)~^PDg;QIG>>cg!_bV%N)CwL}(u*xiBVr?Z!F$*vl7Z7I$Q
zH&>Rp5JtrMH^#(Zj2U*FoP!4rsnz1EloBmrUS8scU#p-Bz>*WUL*DS(K&}&iuq~)E
z)TknUK?td#Ucfn_=0Mq6uwpg3x(<JBb+}D7s!!r25b4wL@UoS!h8G&tj-ebd!1Kx}
zhp4z4`$H12FR=rIr31-Mug>IK{EE*5??CH3Wk9UHlcuhmsM4|BHz$Ronq8+z>rCFp
z%UdUY7J`Tmi1dd)?C#7!jQ@m=aZ@&<`3)^~FOILegl<QSb=S2}i3fXU<<9dKrZW-!
zRRSJ~FxbI9?P^NNt@A5P(rkLFaPNC9oRv$u_tj>)(1}mDol?ND0Pp%Y^lIA--n1FX
z9;@v&B}gCd_<ZJE<$dN2cV|rQ`bYG6W&UO6h$KB`yQwZi$utgs28rs1+YgY`X3JW3
zUVl42w5FUt^v%VvvH<bUFoGJy4M~)PMupWR$#?c4?cAg6&%(}?2>ay6<U0ivC-#w!
zO8=eTA##cvxg>&uZs9Ss=8?q@2Q&kU{b*Z-@|I?Q#qum7mL89-=-H#1%OoSxdWVam
zx{ZJ6Tng(A-G^x|fm}&7y}TCJ-gTa7ZQxU**wP+w7xb$*ybg}d9|Bs^9TjRBRy(nL
zP-%sw`zrl!*iqwXrHwRrwQSICEaBYQARMp1WX@>GzjdPE&R3(tju0Sa&gDiU9Z+g!
zy~11CT8`LfrgWHi(@Aq|3kgNy(ll)6N&E9<IL-R>W4QsH$u!h>P2|g-YT==y<4mP=
z1NIW@tJ61Z{C?W_NrKq$Ug-^5b&hP?9($PTqE%1#o;3V{u-Yh1Vc0I6X;yNtcq(*)
zlxx${cE$YNsvVB{og2)y{Hc6puoNm=o>k^^^hiet+YX@~V>D53-%XZoklw5O{NNf3
z|5I@$4eKY_y}8JHG^ZE5{S~W!!@Z*(L7&$Zf06dx6dE3zhqVU_4Z;z7N1Me*)jGD-
zwF<8Qv=N5c9suRx^_K1*PWyKhhLe6yxk=&Rs#R-A&WVzLabc!Z1?dJj!Z;9X&C7Cs
zJ^Q+9e!zIpYNim^e-uwSVccM*NdH2i%B-4bgHHw+QWvrWt1Ng3U>Cu*Cl7Z!(2fya
zNkbI(d1Ke*UfAX6<+5S(0nv2)glPl!3Lmzn+h@IjpJPJVR@rctw68JtAKv<==~1~f
zhKzwfFT;-75$NeMl{rT`|71xI#VE8>aWq#IJt8f-YtrtVJ!y_~2t!$uE?m4O@gqZb
ze9ngx`m%JZ;en_$J9t$&B7Bu*18?4;Yu6par7n-veWpKh-rhau2J$LrSD*(%UQMLm
zP<`}MCavK92D7o!&KuTxPh(*g0_Po9xKGM8Vbz;_GzG3WqNe~D*8cXBfa_<Eek{rT
zahtVsB5L+?cLE<2qWuAp&YWA?=XWc;ytn56bmoCem7Lay6$a`YrfVwhGw+n5D@=*E
zTo?SbAKJsMjZ9MyX(Up+7wjbTSQ@F(7f5ZNAr#J7WT;l3t2=Lq2({d(BfK6y6gvM$
zuszaAyi?Yg+%fS}Rmj*jt&ePz-1nONKz)oH{vNbpTnHL5p2ACugU+zO{XOLfXp$_?
zYKPT?w6kdBTi~CcrA=L`nNq?tr9YXP!X%#&OzV-EMtWIFs?gUe)#0KYS2)+&T;gx(
z&f*f7ihN&+;I2G}8@R7I!l9M|xgB=7)ye?xNcGG+lKJL8^NzKbkf&=JFqd6b7YbZ2
zcfx6GkW%KL{?&SSdYoEq$$(9Wgq{wPGi;?K4J8X=7oL71pt#vA@6=l$E;e3Y#bUNT
z{^hR~d^@UDDlzGz;md<Sw|9vFjpyyWE$jOcurU4@*zI`bUhz@qQit{DRJceN^Zfjt
z(ZiI~(@ORRxIlM&+2j-ibb)ew_J7zhi1)yFwiCwNqS8j`lX6Y68;&EY3-+W6QdIwV
z7j-bgm4V9{rj8`S`E=q4YS}50dMFW{DK&!nMSTd^r2N?hpb-sCEHbYlK`x=_tdtG!
zZF-71Z2BK*iys=sNpClP+nuo!dd+|J65|x23?RASX}kYDp`EQu68Tj67*#%Zk%F`<
zdVa3I5QYL`%(plSA6%2BVmZWbKgT6N1F?Sr?nggDUSCGBx>AkaRmgwWoVu-##n}jy
zdMm!MRs$mkEh8htrrvE&wJXF1sS9-6_i_7L0!e+0oj5y>9e}T(<MXTcLx4RfRHlL&
z;?RmNTW(q#y>d$#@BeSi?x&_W8I_^nte!j+O~{gAQr)?Vm8<{Bs|e6<n~rB(oaupj
zn9Z!`MI1<ml~O;xG`E-dlZw3ozPChBX4~NA!OD9OcHYbgk(BP(YpCWj?Nv}1H1a4>
zYo<}-FR#~wx=R%%ZpaS&7$1zHmd&ug*7K<U6=iSBV5@0>F>*agciG_oCRP(xn<9DP
znC8AL>6%H@WV2-yqYUm+bgYK8T`Dr(jNjWfd`EMppdVisPv7c~X#r|r?rzI^<(uHk
zuG6ZhrfS=ZVQh%(77A2IO*vWL5?`<@Xesn?hpKvD4^N2H7}>Zc#hbTs>So{2x9#ZL
zD$na87)6aqT#b~Z8T<D^kIGvr+%!w1H>NcA80bRf%6s~|HxWCfFMvT2;WgwXT4r*O
zDa_A*T(V@UK&X@9)h4OIEZvqQPu5iHgqLEX^jQ8F*(I5YA6BRUB&p~kp{k4wtwFk8
zD8K$T>J+m8qFPJ<YdwhP-p+VS<Q%`dnx{@O`By>uRn6QS*INa2D0TAUgO;0r?k@#h
za{}3A9?}-Y5eBh01ZGnq!kP!%=q@a}Ow;oGd>yYBo?zT&C8H;7*=V&>Mahp4v%+RL
zuUUWe?Q=YkB)xiCunZ2q6}1kjtwtI>HqCd@M~Z5cg6Lp0%tQgS=4(#Qkc-WKmm97j
z_@A2xXuzwx5zJu7I0MMZ+!S)}EZat4hGtHMK2VA@O(ucIY6!n5k~wC)&<P-f3B4Wu
z=ZZPrG46j_1Nn9Wsk&E?`)*8^!kthm|Hem7@kb8}C~IFcwH!n;*#-pZT!dXMa)x3E
zE@$rt3KQhBe=a>|7SD;);=@<E4~jT1!qBI<DpD^mm>j@$8+@4xk&*F21AU8oNJ3;U
zJ*sSFec_lZ!+hB=9A`O8uP~f++WvG3uK_ewEZQi{9}>uS>FCE_zeu>`!FyT*`k$NH
z?!W-<w)#wC#t~DHuoBX1)d#!Xq;6s+R?YM%(1#Sb_Hcx$*7*RsKgq58tvK-c2>-b6
zMmR&PC&b>i+(N$@_NJfL6=CRd1cwaZ+`BvM+Ec~{NU}jko6|MVRNYg1slt1X+aEz+
zLE(^U5<hj(7<5d%v3G_~>z=%_;;M>ii0yVe6qBXxmEL$CVmiVR5S1VD6gT1;F+d-%
zIX!!(-UYy%`X@;wl0kltzpaMA4KH(bmIl31)||i(KR|1FQTx_a7j!Z^vb*UiVa`c%
z8s8wpOUXMwcH+G{-Umld0kQez#y5w6Ipi`_2BwZs6>FE>RqX7R!l`mfg!V;1FhmfI
zVu595(B;Dv9a{ljOgN@cUZ2J_0ZbOo3+SEKR{eoN-QgQR;M-l?C&j^sqg;%ZNha(x
z0x>a&tZUz7+$1_O!TRaW5##U(;K9;NFZK-C$2ugXpw`O%q}&YLPH!1HVN;u%eLoTl
z6}h)qQ%+fq4%$<<l%I0p7O<-xgo1d58^d!PrA1#a*y`=~)rUMEg6mH3lS)HYhGp9f
z1D^lSp^hu|=xc>v?ofK|UzzF;GVc~<dw)@TG2ctHcE`QXzKnuH3sz;!qR9_e;pi+G
z`mg<hRX)cGh@u&$K+gd5Xzk@y8R55bv=c4BkxBSW@Dj3=aTyMLw$TeGwbag|L<e2O
zS!m{b$_*}8FbY7_M=7^lSaXX-@b}IRs2$G`w4I40X1{;GM>Y}Lw<ZGHa5LHBlq50s
z&I$0IyKt1a^eyO`zrA&bnTs8fUpW#TGKOAI#@O2tHAeTRor_sxec%RtCHt|<tdwoP
zkM?3E)?Z=cyrL~n)&0P|MNi(|M|@khI+}i|)+Nf$mYG`EWZ`jfvNETZIEva;Kv$8o
z%lL3Y?XXMnK)2H*79k0u<oz&3x0jHT<hV~Mkf;so?zy)Vurla3KAe|+QieRm!Pib<
z2BvG!+gUd?lZ4H0XMRu@IW*o^V~qdD^HL4T6sc~dt_Dr`ZUO-blKp8%_HSOwz3C+j
zmzGVc>q+wbI3YS)5IY#oZ%JGy*E83iTHUMCo>1ym_c>eoA8pIvqc&?VJ(20(<n92J
z<K++A95#7+a$B#;u!8E7%~wdBWVlN^ieoV?zElp;*1gXSzG=HeMLa<@l2)b^-|SYD
zx=e6kuHe0Ry4vet(#1#kQfTV*4-Uw)Fykbz$U4q%vsB`N{b_^;3^?2<<2scF((>GP
zW7;%2I<~ntMoDS(Wcs32AMoN+ZW~;!3Y3-!k#6XnmYoMyP%Ew2PtRk@;e#~6=5tB;
ztrF}c^uHIt=)cP}J6*b^f2&7r$f|lCtD*G-Qe|t9boCC#h*YfHGZ!eAMN+nF<}=z2
zrEU)De=tmNCBHvfHc8_J?e-<O!)UZ@c%%B)hLp-BXBi{$di>IQ!Zl&1(KevmKQ8g_
z)giOcu=J+2jw8j=LXz=gSoI1fsi7-xI4_e}JdF~nl({yeMaC_~9^sBWpDiOR_jqJX
z7|F8RmEqDaI?;O^>qwU%nN#fG3QhyPjqn!*7eh5K_iL~9ZhBQ!`6hP@b9afz^TtP6
zUduik)0*)+nOX9rfB=&ym+^kVN;r+kWXW}scb$j>uT6tA?TVkrEldWNBh=3spSJK~
zDc=*jE!~PLM<qT?1&vE)OzI^=1sYAninh3_xBXIj^{qC=)dzY%^P=RAY9W}nuR83J
z2j`)t?Tp%9WOI)d#DEA!*)IySc*H!yfISkM?2KnJ_{&6)J<&?zZ%CxL0HvR_lU<Fj
zQoiF+;u6AJH*H^~>wwh8F+CA<FhMkXtp}Ial9-vLebq&;_*&Cnn>2?DnA>S**F?Nz
zBGM{5ck6lg8ld@li#n(~Z({q#_i-NXLngDiIQZDHm*XQ9#-%tzS>qkRL%fF-xC|gN
zY2_vvOY!-iYTqX(^Rc?u97}r2Z&M0PEowD0J=;cPO(g9q4huqdV%``ZfpG}385?K|
zqwP*>8PS?2ZN=uvr^IP#gglv){kMB)+p%#5!+j(M5)u{7UgzEF3?G!e5ZN3{w_Nb-
z%yIn9+Za+tnI3t?W@c8)NHkWEI=}KIR&xzvp_?sTK;*2ajDAt_Vj#2f%6wTyS8v^A
zQS!*RyF(7NcjjrjyBX%ZF&JwjlU%BL+Vt?isrJ}^0y1nZj*2rKnn|tR{JPNgt$Uc8
zV->O^8YR?mR=<b)Fx;okg#^7lTf3pg)j6@l!vNw`altQyP|?_NA`k|t2og^%;Cmuy
z{l5}ir}rNRJeH(_G8s60-tPkfZ&5kGfa*}fTM#&cG?%!S_xi{!CB<>Ac)k0ppMGdC
zYe=w+3d1=NZx22CUD?itxvGjtd}s?*l#(fc*)0e875Bk9FGTA8Oyhs-p4Ng)FEJxn
z>rUNlkVPyp_WewdbrH88V?QX5skb5$PYLovH;!W^pL%7c4uP7XS}Vb<7=#(D@XUX!
zbNTmZZx@Gv*6ES7cevZllV~PIEf?4BpjRPr(zTxSSw5Gi@}Mc`LpL*xnC0S&r@1h>
ztKxt9w&kdR*4f}>qUvUqSPHCT6iMcUkxPe15hna90po;@E5%j)i1w`85lGL28L(00
ze-G}&V~BS_rDf;jkP{qfR<7e|KkSMGNbJxG4!gD*?%zt!7S*49c%J87s28@H&2vY3
z@X|uE7ph<OzH(1#nTsi3`7MEgpr$e&>#2PF$6G2f)!5vicLVcGDbx;$C<Pco;4Q?!
z`l)nskI{EU(y<nPGx)3qJGfly%sL6Y=cMXjU#~^S@3);`BDRXjS$a&R3p4#c|8Da^
zYmf`p;Lew@Yk>p>r4IFTb$FLynB?8{_bcL;n;)q`b7@y#$*b9`g?2TT47u3p%RXR8
z9tODM^<fA4R^&L&Bm4_YfkfVKHkRdig^5^RBNPJoY@3xOPJV#5M>w?`ki=}G1!jrg
z%P3=!<0s9Agbaq1{Es8XsSS12&0mb;viz;`0kGsvd_y~DxIm@xJ+E;fJv4xSBvt4-
zK~lv~?)7d&$A2Re(3)ud*74SIFWY^4fmuqE?1!w8MF9&2Lhleg4okPykr`L91tYz}
z_qg-((NEtSL^V8rrAiD<vt-P*`Dy-49K3?RB7Vqwe}6SWAxud1CDvmEEH^Z<#Y_JB
z(*VkAwoPo)<91T0o=z9|41*Zfsd{e~$r~qNl(|p|efmCqDh-(>B?T|A!&(uK5<mul
zC*1c7&@kbEcO99>jazD#WFnE7NN<x19A)z9U#H)QM#yoaiW;P6EGksc$^1%G;+zV%
z$o0(M0h}sp)3`=&2Mf%l@b=RJ$vB8z(OHEH0TLYM5MKbeVte3K$?~Y$YKi|DBD57u
zx_fXX^KXCuy1~se>3<_+PlrG9oe}a{G#z(BH%W6j8jk8QzriOGwt*O?nY#hjYQ<7D
zK}#d^{6Q>K^zQi2`tY~c=N;MO^;_W9)Knh5HqX>V2L$ojEt&B5RJAq`KS)dmw%Pg_
zm}W2rjq8{_2lM7#$efT4edNL3qstJ_i7-h;$2qD!E6AGhPyhpar+qJVA#D790Kz{w
ze8IhU2KL^MBW!`CKrAK1;L$z~UZxY-kQ0vum_B(BRT(^t#(RJ3W+d!QCLS3UvVM10
z5x%BbA-Z5Zxx@l#i!RfgM3$ImgyzxL>Gj_!by0x%=r!_XK<5(tA`TQzbyEQ!Q3;X^
zY;y7;$P!j6?)!jJw*aPgpWnEYK;U=fW6AkWMFotg778AkUP!UE=~gbOCo&m)n8&Sy
zoQWEL8msXxEK$Gd$LV_48Srcj)JCfE;mh5jN(nF!efy?Ho9H-M9rMomsPRke-wlu;
zG^YF(C6yTRf$(b2_hkG|G>yy1|DH2V+9mX89QIL*=SwaYXoLE|cno}WmO2cUGCRoK
z33_ZCW6RU=3LW3rGli;yrJ(YVj~`HZ0TalBOu#J@oW5S_-O^Ta*L>)qm6!Do;y3uh
zq%9lc9Y9CG^X6wmdTx^NG4kKBDEaLHwWOXRqazg?w9zFSQ7Tsat}5Y(JmSD(t!WA*
z`*cX3n)Vh%pu&h~hIt4$PPWsme@(Vdg(-;9Oev_>?R@=7Pq%;$%jb@wBctuZhrLrF
zc9(gyxJW;QnLt=2gYmLuW{M>W?fYq$L!`N~tR*i|w+LWP?Kk|dw8{|eXc}Ek$)i?}
z4?lp)2d{CJGhsWBh_&1h!w}Rn?~4(XUh775DQDg06@X*RjmGwgpqu1l56_*tctLz5
zhg!`7gybE>y)WVxlscs^0L-j0&!B#@SQE+$FRlvrG7q~dPvTCovKfEAWaa*)HY@l!
zKY<9bwdu=})3t-R&&ko6J^Hc2{PJw5mCjd}*M9_@_D5l@piKMlnXIgCL6$Fd7Y6BQ
zvFW=`g5skRxPQ=_r6h5biP%P3`SLyv4o(CQDClbFoDWz}fMIEK-tjaSMLi=F<ex8@
zo03^T`44ez)idfh1vO$^`+B#F7_cF}&9f{%XhdMz<@Ty{3?A>2AIksF0x&&_?^2>|
zx+}nfV?gQSt!yBwwoSZ=8Je(sCiH5r?Htk{lrvQ~LQAmz9qOT*@xR{(T<@dm0e}9t
z|4h8K0bli3e&Mp~jbL`p=vKVO?mGHFr<9=tW2eWM0aSE=#0do{PWs{A0cd5ZaD!^e
zOa6^I4*G5H{#{RypQX49X4f`5=ahn>(wdn-7G;QCueb8Wx!uIU&+eW<GavIlC<iVO
zph0`DFt?aS(=>-@3+z#rui)0wE7FI)jaf;#EU(MG`>l&Cf2lxI?x78VgBXyz_=lmj
zMYNBt`^F4_LE6i~6nsw@RSJ1I7~L_UK>`7p&Sh$fr>B)Sz|uPAkEirrn;jEqs9`3K
z?CPh3jLxbjc@4%NnW2CpFl9Ago=$TR`x#1`Wg1RJm}q>ovh(RuKeS6xAu6h)UQ+^;
z#=zO0fi_X{<6=Ad?o&#8=#3)@;;3N3zi)XzE23t)DA8iy<KFK1892IOs_74lm#}SC
zaU$z(iu{$0ZaE39R`~8!)gd>)Z?BzkMZAA6f}J%IN`Dd|9Xr*-l0Z(ax5G^tbz!*;
zc?ieq2v?4a>)>5_7w_}N8qF`e<G`2_B=B7WQecA3Wc8w(sKqm>t5d3U%ebWD0{3wM
zlF$!#ctTcerpX@$B5HCzyKH8V3wO<#C$Xrp|45<BV{Lo<>8W#54yyOQ{L2jQGbj?F
zk4Hsb*58&*RVFtf_Iu{e8-w}uD^jt_Cs@>mzoW!}@HD1W0gQ?Osr-8<nOz~1?TaI6
zs}gO-8csdq!{e7n_{SRR&(CY;?6U8U%)B2r@XVPjozGmL@^rxn+}s2T)JhwvtFy3!
zi9Sd$6_@g(fojo(X?Q_COLE2#R>W*S<-$v)+zQOaLrNhtnBd_WAt<edOSTwMoG9A1
z2fXbcb;R-x7YS`v(_B{wd86*m;larCNce-SLO5}eg#tdDF2C?kD}q^_9hJULExO^G
zD?%aby)uac0wno3fFSp6FsVP?+#&th^Z$7I%CM-qHe4m7yOi#3kcOeVyOHiL2_3pa
zx*56~K>=Z;yHk|zkd6U{;f(Kh&iOrmX76k5wbpZI()Jz<&*^^zdC6Yqq`uD~Bb-Ku
z%eSOHWaRMK*EA*80o%)FF90fYLf<)PV#SAxd_v`&S}-7B@8??#=Z22`aHB0nHI~4*
zlFHX~si}zi#}0^8f!2SO`;|Mjp-h#(;G8&6#=~iY{}!4?uD(?O78_QFLAg?{vcg!Q
z9riOB8J|hNptuwCp%CT3LIJk5d0?l-Dt09L3wtKK7s^Y)XFcB?E`*hACAofl$8T7s
zm({=GIM!PST?Fa_UYMGX{vy_-W+gUG19WO@{NCztMXRkgrzlh~tHZ(4P)Ru0{}~cS
z^cO8m-cY@z#K&m%;y4y5KE<+`U8FuMN>RR}B|)=H<=--<MP)bre&Gt|^zs#d&pg_z
zkP_r#4CP`r|3*)qyfEAyl6C&|xz!(>=L$-}mcNiQH(;(TJia+P!Pw#zu^AwPaC1d3
zdlY5w;zC4CvhOrrDGmqIg(lTpGZ9=_+9$|Ser}RPQGYSGVA{wA+`rAx543Xkjih`i
zCAnf<1`EQZl7?i_9>>?z=^n>lv3hs#$Y}5SMt|qDdDIZ|y`JQ>=6ZkrLSOL{;ym=|
z|AL4u0W|u)0p?V_g!_>A5&x0JRw0Z03Y|4_S89?86eMh6vOiE`iHzmabwn~N|GDtL
zk|TH@Oqn$roq+DbU-%vBu+x8~X&!LLdZMW_I|{DZu(I726sQXzSo`}N8eUV0D>ZjT
zB%pa>Vi|;z-ZCHXL3-aY)mw5}?-VS>+D}-xA^dWG2Yly$)A%AQ=?Q`4iw}-N?D2DM
ze3irXAx7)R(4*{a5P}WVXpRr)sq9%ikci}H4{1#^1n$eZ`}`?|1-A@CFtDy@;VDru
zvd_+ZzGD?YYn&1iu9EQGuhyf^smoRJzJy0crRW2te{Jg)iwgAM&QdVc%d$5NnINAR
z&b$`O|3~N$a1CQ}Hb<u}KGw7kV&FN?HJYc~W@-Pk&^l9dJ1^Dw^SeLi@j2Dh+H&X7
z<@EfWPOsKk3Dj~f5^T~&H$Gb-07T<EDrocAQ8H+sQPQ@UANg)iE^)PvX^nw@knCwF
z2iB3MgO!wjjldakWBds3tK1#c#=6)OF6giK*)~2Cx?37jsul9(mwpUTwK|E1G|v6$
zNQV{^l5k43g3e2V1|2kSF4;OIa3FGZEP~Wx(fiCSRs940grF9{G@SM)<uOxcLW;r<
zCHA-&-|Q`!zs6$w)^_Z_)}Gon=Yqr6srrAJ@(SmF%as*%qEI}jl-gP5!~!e)H(s)D
ztHSh>{nv98zq;|m48NVxE59Fm?`Bce@bvrDX|s(2CMe(CB2L0`bw(^YY^e*az)F?K
z+G7dYO-()2e;>EqyHQ{tQZAPhZo=aSsuBu%1L=>mU_3yf<=}HQp!Bz$jat};WBA2T
z%dig+oGg9xL}yUy`cHi$T-(T_l_!&cYx<dR<oj5Lw;Ee8MG(3C^3#lbv8WO%v3dx;
zO6SXK6kx&J8@Scstq77xbdoPcen*T=GtKLrvP#xfb0B&_Mms4UONV)RI?0L5locs-
z#X$JKXXQ>uoyg%+NSa`gp@ZKb!Uhh*$$GL;TJiW93JJw!-o&!r*_SGjO^*I%<9)CN
zNAfiSO%BG4bkH$C1q<C)mxf~c7j`C=(D=dk0=dF&S5M|n&c8cVZk(3}JyI2XAR-Dv
zr8f+N{H@qkH9>OZ8P&SsiaqY-7h_y)SMpM;S6{yuhhUF@TmuTj>#nmBxZmJxl|pSz
zBs-wmY)48mFzHga5Br!cU=eAP;&6&l7#)R^310tAV+Qy+Rgz*tMM)0D@=rEw?WZgi
z3#}OR)2p?#=lzEC-$lFYe>_UDFs{#mYD22g>W#X56M%Qhc?60o1-kd{&(6uKzcILe
zaHE;6M}pz=f=rU+8AY&Bh1)|D{rmIpy{2=oo|N0HCbw&x#p1QN%$mjE6Si~_1Kv-@
z&K&gh%}1O&X#zJ!UeOXa=76eh&$#0|`#JfvvvGni;~<fjXO*+({qm3gPj7--QC%q~
z>DySYzI`_j`r5R+u7DAL_Ata1@9Y|I%1ZXR!x11=<3h-_YUk-Vx{>cfAhXpHC~~iz
zgkf^E?Smz{a3}@Q0j@ji?wvy;YAws4EN?t_<{<-L8h`Kd-C%(Vbcz+Z?lhuGKmkJ{
z^2)=<$Iw|kwv{MPy578utql_3ReH*Ha>~0Gt1g5SGXYw4f>j^a@4aPxi1!;@W}|<$
zFiSL}y40D&Rnh8r>AXoZS6oB<XoOm|Zf`+tY=q|U^mY#jbsu~qhuaSwR?M-YCcJp5
z6Z+!VTOAEO^!MHjS-Ud^@I~ZOVvZ6d!(Y;eBHWK~RTZQ2#<S5&&Plcr$=c~6n+J9R
zUz|3m1`Y&0`(NEW;FVLZvYpyKrJ^K3Z{r?tHdUerv3Bv^#&Gf^fL7(_k>h?ss8%J;
zw>ng)gpL6-`n6Bx(nr&hDO`VBR}NXB1vCs^CS2HMqnoygaSK_n#gDcP1*i;kjZ=kF
zBoD=FQAn(-@Z<nk1E9;>>}j7WWWd~zogCgD<0;stGStj->;+YmM%OC=jCLKZn8;k+
zV;RLukFV}IATR*LgAPQOLA?#8Oh?4qit82a6$O^nFe4V79Ln6dD_cw(x6(+GegOuQ
zjb7EuFLZF$&_be}LAEC_duoZ)n`XeBnYx41B3s4Lq(@bz6)re}2SB2}7Ad*jpCmKj
z^m;x4O{usTepN7zb2$;@<T1*5Hae#`r=Ine7q-FkaI^?M_is2mGxjO^4G0)OCSKQ|
z%keKb%I^?eUu(M{Q8{}$V;N`%qF0TRUk`U#|5T7+0BSqcKP5tWbO)(YTe!crt2-sE
zMBk8~aCKM5<-n#aI<CY-e#j_5WGL^qH4l<27MSJHjOrh=t`1_P<cavU8*LS+KKY;}
z8}rowquhT|QRrSY)_|`J_$M!;%Vdbwd)5Q}(*!L`2t{(c|GrEbz3h%|-l4R!2t&}7
zI`?1wC#S;6WHaE9c9Hl)ZA9cCt(+eyY!+gv{kx3Ac5Ar6;oDK}zhe>`;qUc@NT*#L
z(EGL8^#pg!-w)M<TXXTxM)n15N)Py4GVe0QKAt+dMm8jCz3Ds(PI*NYesF!@m8!;|
z=_XP8OD_EgIOF@t`$$Fs*a#G1)+~o^IgNfor0{#1<H(-ltlf!|MkCDR_ZeHkiL}+S
zHqphK-i>K!hMg|19Q8=<eIiEXYhpi0zLJy)s6(Vb!6<3Ey#K_qzmW$^AN}6Jt~mhS
zFb0vAaqcz#O$0{5nEeaqbT7AsQotKMZI@G+9mVMXsKS@8Z6EZ;Vdr#>yrMsKmv6q%
zYH2I-q8BJkpd?Pd{H*2OE9j7kl-bV1jlpx62pkf}{3yasWAwde<l{>E;-Ptw|6kk~
zBACL%3Mx>Wkez|;f5DuXq3}?I?x?2+SR-&1(I3*MKZ&5vt$6y*MoUhoZxgy~ZepH$
zS(Ax9>H7fS`qMsh`?wr%ckGA5X)1KBNoB;q^~lFqVMnIEQeUBIdN=gdmX8Z+wPSpN
zk%bg3&J0XSy{_b2;ehtysi#A~6F{6pn9kaBh7S)FAHD3ytDF*Tg6o{O+z|_o8XFwz
zz&IW$P!_@8WWZk3BbS~9*4Wv$w((77;38<m9?JI|3Cw{XVoEXs3JvN?Rq2O&(6;VN
z`-4x18u(VFP&v{g?R}7+z@fnprGt*Zd*B!-v9j3c;L%?$7U2Q>cw9^H_@b13p9`l1
zUj9)6jTk7(aeAJm(&esFxv+_cf^XU69dGsQ63fimtLi=BvTU?aeW@aA81&&woA8N6
z{&&OcIk&-6q@b|QI%6I8PbVh7auKkULZGf}`)j~hZW8-+H<R7()H+v&Xkb^T_7psd
zE!>&Udu;a>3%5hwq7f~D_*ZKBdm5B;fCSgPz`DcONWYe(uR<@OfRmW&L6^#oKzh`#
zy+bPgKIX2wVX#$T2h8W{HYGm+Fo@6N>21}GB+<rXDmV;!zGe(F=FMJ@i3FAb8Gvbh
zzH``4J*)!a7nNcH*y*Y;RUfes_eXnZK%R{-?s$RJq!)jh$M!%hmq5#lf#lnCts`>8
z*9g8wzL~TP-n)(MvF@tMa7*URKT&E{vU6w(d->cg;TIh~7o$?VyjXq`d!Jbwhn)Y?
z-)d<t;Kpd52Gb7Sn6-pkF268wWdv*|UCA_ByFnL~4=%CqnHokH$oBTaGl8csj6YTW
zglNwtFDaOQ>8B(3EJT^FINOWM_bJR+Rns$2tZ~gdi0<mzM`WMtGp&d=>@*LT?0eq|
zg*?736fRH*@J}p1iC4Zo5U7NPBlTJQQl5sZ6ZY!S&Gbdw_OH<$t+Sk<K}&$0WKS%p
zo<m2ZR{$Bo5aD?a*sm56zrzk?eYg(zM8Prg&P|_`sOHko<H90CID+$d?d4N@H7$H-
zTsEgi5p!q9)%o)DjX)sD$LW{yzt?bnmZTwyxzt4Zo@<Cn*Qk88xM^ll*B<MZZbhH8
zg8tvtO%f@S(@ca_zNGlp{f_3Oa>C89yRa;kb#;i3k9N|)!rFI8=8mm>JX4}QDG2oU
z?Crdgg7Gtl2)hp&&39N9*=xK)lGL!70-<&z9&mFO!XR{QmgF~EFwJYLed{Nc;f{O&
zrKe`cz+k4li=jmktfedC#9|Db3!4I)d6Y7DswoG2(ndPQd=Y`<!BrW5)p2`~ncovS
z4Q(7G0{<?(9fE#J^7J~&@+QNt-bmcs<U+4q*d_c$?|QxQT{nN#+midE=&}wY6Pxt3
zYG#Dj)AfFzAjU^*fG~uCxqL#C=HF4H?&T8d)jYPU9gj~;x?E&$(~PF|mD*LVuWmIe
z+Be_1KH7<uz6Y*MqWjmLQXB40=1O-0V(iV$>+30X)<4;#ZuyS$be*YZU|UM_MD%-m
z?BS$F;H&#*Y6OFLuWN*$QF<WxXa=!K&Cl3*4hzLL<=IaU2*<kqny_8{0<eh8kDL(Z
zA&Zr(=7Jb-*-=qzt+IO^W5?GZAI%bgC_9`)O7eOhwQ$qig%nQFtj12rMgwo7&!oSF
zYnK2Up=!V_oXp43H^`ZBQO(uwfb&!ds&?~$?M9*2Kl>KXGyLU)HMI?$vS<A^AA<#&
zomq-}O2WBiQZhxHw_`s<l0HDKBagU7@oCNMr@}uJ1uj%+jrKC>vtSA%)bAWy{XOI@
z>y<0YK*w|bVoxt?Iz^g3HmCiT>ocA5e`q;AD*K6H1sBfI@MC33V1>QFz<aK9J^{)m
z3MU=qzta(VOij1w=T=SDLX#)j+`@Z%B!)-n&99UKY!E2v7ry{R?6%if#GR|s9Ls!}
zH@Pwd2qOT(Ief_GKFWNsI;)&3ADGX%5p9c<{9dw{KNG$n{)miE{jP@J!1#l~GB_P9
zi6RVH+>}RX!!<;N?NaV+bit|^q{l3{wI0Y)<!+`S%MpOV+P)2qrhcfiY!TyEBSU6(
z6I&=ND?NRA9p=EAj31vg?;^-o-DFE=AW;qIIx25mjTeNgS>9?po|$L|hQnx4q@hqz
zh@qfm0S_K;4|{#lY6X4#++iPF0wI$awEYh}<PZ5-l11|C$Pl;;D0p?=kIXX8hjERs
zicLUM`gLbGHhd#{`M~9gfJAgj{~b-(h(gCrGUF^2+w8qh_^U|shV$kW+KdpQ)BgOd
z&Oz244W63IWiRFG28Lhg)?3Ny`2gJ-@>1h+?Qh+rFS)nLka(vr@*1<w88oGAW1=dv
z7};zuk2fR^2>^EtSuXTN#V?-K$$(#98rPc!p^K4U+}Ze9HRwdr+d`c;-n#|=nzq)|
zfTn5w^LHOhTfn{F!Zzm9vLizEL>?jRKOXk;Mtl9awZ+O%cQ<;6JDYu@kciXv5S^|(
zX_m|kEq?GRG$BuZrI#X6{7(T6zmTDY!h7=|{t9}h^2^}!@x}D$;-=#d?(`Oeumn<$
zpocHQ5D4#4uG5OC)et0HM#*#UA!x|<PGhq4m-6sWO!^=Pv8MO$?uI}~w88_>Ua{?I
zrxXAgnn0EK7eH0*iA5qHCTOcsUASGPwAu`}d>8KJsaS-RwhO`tli?olcbAiawFbm~
z+FY<^m;(i5JTWSU7SR~YJn1|uZa4AvMt=w9zOA1@`WWHW`}<073Ghaae<Z53ekOEA
ztW8@3Ep!MEE_2aXYg+YrceJ>O6_1N-lqhlqa}vt@P5RZ&lkJ=ZKElIYXw)Ie;Qs6S
zOXY^3XA?wEebdV-nfi7F+1%;xO=!*v{$mCRQ4_txvB#uVR5ZCN!*G1Xm3qo-k3JWl
z@6eitp0Pm0SsM>~s+)?V{+aZfH|!L!qk&#R{3;O=o}@>7h#g<6@ARX)b9&_=zK7_M
z4G#Ib3fcrrSU^Si(Kg5q(}Ea6tx6v;_7!=vwm?VISLP4lAuF;Tdc3D?Wx23TssO~c
zE0W>NuxyF$7K)Xzvnegp`1fZoNJdq3gr#NrCa-BHP3T;W!+`oa?3+jc>A9GH$yf+T
zUI0AX*oWg-V(Mo6oe|k~?3^^s`q<QfL>;)D10ID>gd`#=8b0YX^_YArrDzu=|1a?w
z!*q9}cw1<2v)}MEa~X0Wt8W{r>k&7|C10FwL^1CJ+~)O+W)_DH7^N99A1}!nr+6X*
z_mmv__)eAU62>9%?0pn}Z>l=nj8+(utF6s)?uNq*ivz~kh#pD(%O3Qp9HY?#=;cJL
zqiK3o%|f3$U~__;vZW$0R<Z}Z1Frf<nnYAOs9YuQ^DocyM+K-Jk7JSRaaeiIz~I!~
z>E<5=*33~~R@>urW~|Y=jDJFhOimwtI>$ZpwIt0kx;^-)3Re^`mB1ARB4Wy(;aqa<
zSIV^6S{9B!`AzcpD~YB1FtqdkU9|}j;PaO_bM7y!jn2gsG|`WGPXriqGQ)^Q@RTZa
zEHbrR=+<nyKroh(dV$tZGI3R;P?p{Oz=L3pY@j)0I2wfeM8cF<)(|tDD+(0Qg`E=f
zq5+2(W4Mu1E)N<zdDURYn6;<AXdec4e}a{ttzl!U5B85ICZB$YS7-0zefyjhn)4`4
z_Ib2D7pB{t3akKV%<;j}5jj5Yq>2-0gQ$xdsDR5B0R|V}G!&6aJIfu75!bV5aP#Uk
zvPKVd^mTH^R?)_&t8AY!a(pU&tfB`eG_~C8rsBR0Ml!acedLup%?od^lVdlYF-^B3
z=$N4s`&6y074JY13rdBr{8zX?lTD9~|4u(fTQav{qt|B>lVU+T2AfF}2igr2FVD@D
zNW2c=Wj<)>S+K$wY=%E6^qTBD8A-Hq#3Xn`S7!m$^B8S&-=;q1Rkb9Qi4oJ|vh>mF
zAOjbq-pcUatk)xi8J|E&QIC}`x=$NaI^aB>%1w0TuvlXp75QhD52l>HuF@IX8z?V|
zK&#&0gnJqRvf5&IW#dHxXXUzZHk1hdgB<rxV;Y9{=z|V<jz*F%OQY088_7eL@PI;;
zVv0A6;R#%aNMY1y|7YYe>yE+9GJ*7Yg@u?A&Jd|d7J0JGBJF?j*J|-nKAW&53VKic
zmFZVyoxAD#r0*dyK3J=VRi*!BRz@L&Zf<(}K9wY=rdK!KY9JI}-Zj(K&0ue9E7>yz
zPlTcV?b7$to58YsZJK*Y+xRhLlf9XhhFEhj-Ks|ATl8JBZ%y)VC2zYn#~s!X@C}E7
zCH*I@y2l3tvLa(S9bxLItK09y&;8<g*C=+HlBV)E^NJTB<|>?*!iW2FByjR&qZDwf
z5wV6UZRCeDQjT4l(ad_A^oD+|47^h3nCj~PO9A32hrX{qW>pj=clG(Zw1QTXp45*b
zep3IF0szc~J9$R6TQVx*l^X+#_Qxl7c==}wa*rtWJ>CVtoiO+a57Hmts@IE@?F@^T
zM}x$Hw+{Hv%_K)kU1?Wy!M;ze!2u*1r%@9{A@_zvlvl_cx>QcGUCezs=DjeU4K++f
zvS;+_8NmwmiH#5<7<$E>Q2~JAeGVOLp=x$GQg_Ypg%!G|UTF_s?6QhmbA@_fk%qgo
z%EFrilfOhvNm*mYV^kpNB11~NZKy)$tmE+KNV6HRJ2X}s8JI%QqUkeIwqt?9sK#Jc
zZ~egg(k<NI@&mYiAf)35&6-KRZ5;D9T}iu&3<ubN<BQSDouwu5MmoZAXeNmtoCtSp
z6fQ`Au@Z?`G?PZ#QsV0xtJT$j;1cwIPGf59&){Xi`zS4su2<et@ih7}YSB^%2)h}o
zY-4|?QwQTcX&Ziby(e8jo!T_SBd=@-<|z}6CJgg>0$~guG~Qa;I!G(vy`WW!NlOz|
zbB&XsK3XXc#!jl3N&Ib12jhl<C8X!oq-bHm95!S?vD)6BnO96^4uHN5%_9}y)^ssZ
z#zi)IYK=7=f*jPg6BkG{b6e@6cS{0$E4Y;$YDei9P*(j~>qfsO6{rWLDO>Nk8?dn5
z&!Qk5u6WJBnwMbI>C>En{(*N)yJ#j_WODm>uOjU0T!lQwf6pLPY1<nT)?Xf8oU%ZZ
zLms@HDoy!M<%yH-<H%yF`qYW}YBj3Nr*4o6HlJZXGPPW18eh(7_HSZbk_vIJsxs`s
zss|ck@G<uAM1SVknrc}k8XU<*`bpg1OEvaNOQF9N-#+DPE`Xpb8ePJ1OXRx_t)JEn
z-${%QSs|6BXt<V(J)H;(my8aC&oy{~OuLI5k|s<pv$JuAVEE}{LlvIojKT~kTt5+<
z4Agt3>2M|Aj@gkm+wRcJG8BW^g_zEPHp4JqP+%i(6BEcEL_cj#r)c{o82?^?4@o&c
zfy015D@wz=^}OTa`tH!u2ZQLhlZ+Hy4zsj3N?Uqdc>xXb`e%<?;xu~V<!|NYkZGx0
z>ur(8rQ3G*wC#XPaI@k~jCz#1G8PR2$JXZWKxEZ+kA7v{U1cz2fFY)wqgFes!d$6V
zrSRMqp7aAh9L16J&3yI5Ly}}0{h!A<IsRHIejs1iN-4WzeM85~>*S|diB`#UN#@>D
z>>72tDv<kF`}MoDpJ#LZL~rW6)57d#e4|P?OY4fX_gId7K>ywBLn~FrD0qS;JL5v|
z9_@!Lwr%~pEv{7Uk|F5<5Je0urrcnj>#)&^4O9f6%GDY@1dmc#5GMQ3Nv-oFpYg)+
zgkK=9xrlA5O9jsfkfFfi$D|AVXFk{|*M6fnZ9mxb#S6x8os1bp&2G^X9Be=WN+@RR
zK7Yw+srf#k=FC!p@pe{{z`c4VVqOK0bMFoX#9N`@L!M8F!-8Ns_<+-VE47ME9K4uO
zXJ8<ow?dmp>*mI92)``D3CHMHpX*z?!6$(E+@V*(?}?3?%l<efok)!^swcN&m|I95
z)3h=VTHP~CY}3$cp+l=bX7Y@(hn>IaPLLlHqc~b<`eYNm1d<NJ93Rnv@$5lw>5Y$M
zN@o)MDa*d(;rVI#Q(GTU4UF7G_t291Np6!QS0B4WXECS>w1V+O)qTgTSM8v3qC{FV
zm!DZ$P&1D#`lzOav7v321-wEX2>@R^DWc~#+Iavo))$)>_8kk}m;6!cVYtn`2D+Ko
zswX5TL*|gEJdC4D?|ItYJU~u_QA~*@aQOr8;}RL%{P>Xd`oB2&D5QTBh%b>R-op?<
zrup{_{oJODvEuY0(>#8sGAxyreBQl(5wGNQO^?R}O%tE&+g7gH8iC&!9H>-7Zy8c5
z7JnF$X6v>B;DI9`2drWW*ORix^wcC!j>zr=i)}2dGQVh^>Grnr;|#iQNilO}PDta|
zs^>Yo<YGl21GHQAA<c0bN)xUuI~&r`UT=n8S*HaQnQ+mT17^tHW8TS&02ci@+lEf#
zi`}6GX_$$J8kj%QneJhZ5lRgd%f5*hjWb|O;JmRLrW{NgRzebj=c3$w&`E#Hb;)*Z
zVHCu?1RmqyQzQpMaV;$2_=?PvQ#~v!XBCGGDaymThDatGm#0T;ayBx3O}gvX!b+mr
zQtNW5Y$|^m)c)Bf;=h35udfgY80(VkNrKI?hEmy#R?Tq+>8oo&PBmQki(O~(!*wlE
zQe1Zj83q=NM_+zv#VoOmNvXyaig!v4>ndw1;^EORwG;s;<m=@y5j-J323VaE%09i#
z(}vB_bslhyrZ%L5ujzp3qd(f*R~*^*xLBK<Pr68741pEM0DLd#1D!$7i=sW2X$0Wa
znG|rZF_`Uv%npHw3uXW&Kkdqe@k(L7P(EOY9&m_Pvol+{RrRrPb+=2Dvl2-u>(VO;
z0G|~K#$$f$akyJ*1<ERfDlOB<e;5&{Fuv8#BY%hAu<5X-e?!pd<>(?mOgs0RY@9W>
zA`A}QQ*WRqPyu>ePqUlFF^u{jr&U8MZj9Y@2fB5Duh+lqD<U4p_^hj3GmlplB9m_B
z3IuWID{JzPF(y@sp4AlmDa~f?g`rVUD8JEB=94$F*ChbvTZ(=j0%_!>ffdOwv!Z4D
zuw)8a9NZnsDD)RCj;p{|B$x>Rx`Sy28;G3l`X!BCBegW>vT*?{0DFZc4Y!@W&o07J
zB)AZKuHE|o>Vu?KtdWHc#>O84?lMO*`<ZBTTKW2%`e6wbH^*sn4ArjBqHV+OMr!2H
z8wL{;`azkv5R-Tsq7sGurnsI{F>Ep|2SN@5l_-4&!b)4I@Cq;rPpGf*znvgFQF3@7
z)>&SR%<!eS%{XJC-R4tuD@mO~lg!@T0o*-p<!&vV6<%=Yc8)u|l3oPJFW8>n?&Xm)
z@_>dvTO$@Snow-xE9f{KgKwrRva_G-hd{sa##x#Son<ex`KdMP=&*ow;7@smO?b04
z*Of><cPu$$OtGDuae&+bsP(V18VT6xHC)J9uY!$#0#isB9|qgQ{u3qu5Mm^*^uFP$
zxpCh|cDx+_(<O|MR3Zm&Q+;%19rrF1Z}N07n;ohy(-{BqGVq>}H_JB%uR>S)!wlZf
z;Vxn9oV^T&{yl?cuclHD9m|f-5o3QjOWDf}r00?sLgtx`FO%T4#7V|2HltOZaEndg
zPNJZEX)r&cHEheMZx+%r<1mvnl!taH*Hco4mn>cA$Rg93X8Tdyhww8?u#bXCGr@F>
zUlZmVFT&3f`Mwl&3ONf~Mr%`dNq0$SXKw9(7XlZKE_IpSe3>SaQD54LUi`f~yeN8k
zDKWN-8ZYv-lw)Ol{zvNh8K>VSMVwHPlMF?>%|dUll(|KHObfOcBfG^M60luCa1O^+
z`1k0<>lbV<8!BoVVD;7xa<i0u&=L=~o&O*FmE_CevIPZvMLBJW3U>7`H;n{ZPg~^J
zP@14ku1~Fum*<=l`NFMD$29~<-W~icu-T?vMvI|Dh&R$(lbMHJsf@l<5xN|{gMf;m
zo%8o>q<>JEAXgRSsFl~ztpodb^u?U}%hEVg_6x<h^)?czA=kWlW^-EMBFxfpC4O3C
zRH$UYx|$HSOJCU4*;|3s2G#FTWtJ!v0IN~G`HkazFttG>xX#GbYHbBrF9n~O?qlIV
zdO4JZ+E<$b4v@?g2W+}WHUN_$rC3<@KcpA#j_T&!V1OVC1ZoAn`Zd0^QE3FU2!=N!
z(qSWvsLZrT$du#rl`aUReYD$QNV3QQv}4;i+d73+MX1bCdQt*JMueJ@nPLLJXwcAJ
zBOtUe&^+C|d^-5!eWLGstLm>Yt$IJvt+c#0)qRlPcqV+WtLE#Qc=fT@iHqH^=>u5<
zN8zQWyxiD+`L>&5WQnnf6MdyusjsnFszAox&xnJl^j+}Osx$bN=^shDxB%HAcU*_V
zR~unW&6Jy^`iRa1@!GW*aomz`zrE#5RCkK2!Qx4X9AbSIRk#q^Esmyq{OS5_?Jfu2
ztHu>w5AJ<aYHrl@Dzrjje)Cq6xn&CPQJ?K?wlaf);Lj|n)pxKYQ%213*C;70jT&X>
z>YWE@zQMv*=P!`1zXFEn8NUG}xxd3)6FZ!o){H>2f$?bBJ=`ym2<AD>jCSdYAf0==
zuq@}lADS??JO<HUDz%-9;xM!m*B5QW<ZIyg(8jg8$Z<JCBtw9jmT&HbZ|Lqct_tPT
zCWX~PBvbax-dmub7W0+;EPV?3-`x1@MYOFd=Xr|<ZJ;?l9^9XMg~#{xD0=T0Um@!8
zV8`Meu#k)3AYDhDr7-ZgS`V$?yD08RRm|@4To<S%Z*=A2?;)+)ce_l27WAhmyprM%
zC!0n{s6fHr7s9z%r<&~DiTX*eQa#eIR-X>TsHrRlzFS$|tU3dhNZ!g8;)RMKk&660
zD3~1hqZ({XXxxFOi1+4z9HW}RIz1N~Uxe&jDK+Y|q48IT*+95!Vb(E?Q3E#T{r$v<
zv)Y=8aX`h4^mpChYU(ArUH3&Ylz}i7B6##@(&A&Zb&HI#6#nUEbSNprm=dRQ)Cm_o
zJ`#}5i@??Fl*<kWxNK{yopBRN`NLjyykUoi8{Ss4!Ny_=kz>U?i%g-RY_LI<$AbJ*
zqKyw}EyZ#4usYIbGiLWk0^w;Ye;DF!%@<ml^1ug(j%$b|iHtf>m|<7>nGecB_p)B)
zUq?Whkty`&;$U=!%<)XS0s)4Qae(vAwJLvJxx9*P&FLBh($M>}ZN>QBR=NPe@2I7~
zsGaqA?bpkang3cPqJHyRyhELT@5aDJ+FP~Bi$|RFtA!fhQC8}ET9V<vn1*U1GQTxy
zzB7~hjWT5AKlR*qpU03`^r^`md~11R!scedL-6)Qh}I2!^Ah2#9S5a@O@4>%Pv!|~
zotEQZfBaLQ5nB4IBfAT^9cdofLLNU(aooBK(=O?Q_R*EA1i4AWpLal}xNDwWWf*4p
zEFCn3#^6jy*}}D@iu_B9_H%(W%d;Hu2&yUl6fw=X<9dK76}##kd-?lkxe@gnjZ2b2
zkIjzbeA{2<!(%&*)GPs%Fcuj7d@c2!M!Ab-Jwist*X<<V1BrW6mS&c?AK&i4&DO*F
zsM@T?F0rULZxGtnYL2i*$1aPSqZ%fKiMo%6s135VZp7UvALZ6W{zPrBKIsU+g*!O#
z48|#UO1R5Y;RmGT&Hck88+TOc-hhIKGLEuLL{9{zSyH<Qln%IUCuB@{={|KU7<6~)
zIxjyL|6W3&Z#RtHPJ8clZ@o{c+BWwx9q`@WqxC}Ez%A3Aiiqo%yBZvR=YrI6(P)4@
z3Kx^=0aWj;pxI)H?tn%4!0ZtYC(Cm+j_?k(@UdH@K1cGOqO4!eGl1P>MZKOv-8Q7r
zR{>%=`-Jt}7KN}wwo+gm(C(SRG_djO$IERcE{=~z?`o8d1s=3yW+|#`{jxXO{(#K#
zWKc#Gfsz)|$@&V;PaE*w)cv4U!x+>X9)wA}&Ai^(+z&p%ehaCt_;!6$ezW!A5veGG
zD3c~`!z)P7)WcD~u7=?qgOBaMUA)iXOX<C=-d|bZvFh9WGoO#rf4Qxqi6RFKG;tv=
z^oOQjHtnyieZOd4ZSLbjg;`e1G~!agKX<s}AWwUJ8Th)daF^Bm|AM@iJfFp%PFr7k
zS)S;LOjdPCm<MiUN>fb+t8h7&*34YSDvR^CM>>7N6{C##j+~Wv(LSc{H5QklS71uR
zXu0xwK{~M>fgkF}BHl@VvXS27dY!wu5D6=z0oDn!lw_ix)ubr;tzrTT%zAL-E)SI>
zlea9Q0O0n<bVj}RVL}vt2q)fN7z|pRYB1rxB$pshE-GnL9an-r2a-kS+j!OZBC`|{
z>XD^1htczzG=F}YjzA+QTsGR_p`E!$<qr<w@_UDrVl24%p`q8#z22!$NTf9L&uOmf
zk{e>Kki7>yYI+&ee!d<AdY<ZwEK$mO4EmIj>Y+GlDH~G9thq?`GO|H~d&z`5*#pD<
zpc+Qe{$RTnk9-MyrFlviY%4eF>JwpllX&>$-cC4t=`&LinLQVu$L^?&-r=R7!uZ2p
z3XS62dmvUF1ha>p$iUVveB|IUy(F%5CmFBpSmRqI3F4L8yF(oUe%4lu)p<xQZ0}<F
zAel!XmRTQ}Uf$`86)iE=%jv`P)$(;HPYH&67%(N{Y}1O@moEDG*<Q$WvzXzd_-t*W
z7dC;hD}7EnITnhsRs}U~Dk0Z~l8E@b2C(J|Jk5PCnkQI>T^8vPH#7?S;-S*?JwKn|
z+mc_oA$C)ouH%#%m>5{P<2~Oj2q`~qhL-+IBRQ`#t_Bolg;o+grv+)Dbw*jwm6R71
zT7G~{=5qK~GF>s@y3L{sP>#ib>xppCisstO<W!{A-gF=@p`M(NGJ%TtuP_8@_1!7S
z`J+rwlh@2L$SLIMwk_2dEip5h_qTLiRAw6V@p{CWly=#qO4alGEgXNj_DFE(_}heX
zeic<U&w-7xm4kl+>!Kl}INgk_`sN7S<q)QRnP+iW2b3pXT^HY!u~knq^}5l=2s(br
z)b@jiX;&j5<>pX9*~FbZ#N;GRLqd2k)@Fv;Ifm|Uaf10k;U)Nc_=~#xAw_^J5~~#T
z&2YxdJ!|6HFGZtz!I`hjfy*NTETjTzWM{@4rZMA~Y8nf&ZE!K0bC(9Za&3D3)4kbY
zHD{7Y&A!>uw5!T+1nUVzHOP<y(Q3DmS`Lb`{up#zU5U}u8(U0qtN*T6J@`A4`Hg?*
zGoOQfW8^65K$maah$!apk;KaU>u8q7?{!L{+As)u)5yS)@<UpwNO}ZdZ^rNTW!0iy
zC|^cC>JdY53ah~!xYKAF;B9;x?e8P;KDfR^;xoOD?x!l<7k*%%<H+F$MF^9t9!A*f
z8Xz`&!`X5-m^~baOJK}4xen@y9XsFK4Ol0Oufwgz5tjs2BXe$!1Skqf$1##JD3BT^
z(-`4zlAgbDO-USr(S{nZ6TT%c2v(DA&pw=fsMu%Uo*JBKB=_Adn4ShTqAwJIe<M)5
zio;`rO()Go$lz>IJuo@z_p|x4y2>O%5Wnmj0+S^k9YDdeOMUh~)S@%lFchIwlr~wQ
zh#dk#uPnq*A#+d=C(qX-;NUx=yP&76Up2zJmkOJw5O23<^@>MZEYn%$SQEU5QoV@M
zCYKu5`0Y}<66Y#FMVi1qEo+7#7yZOf-f^nGg;7^u8Zwd0-_}4~EzlqQD*(1$Vrs;y
zHXH8s=DGYpigQTTVY1(jlC;5o0PV|<TZ3+~HBz24&<m6aDTRQQ0FTW`Mrbs!kVuU3
zFEnjt>IdfbsOM-S(6O&qtw8fotS+cw6A*A!W)O<eh-V##%8!K57BFp&OA)p0GMx8C
zNSKee2T|y#xcO=)@RudkSWUsI?8!OGQLb~t!{s8pQkYw(ocI|{Yx{yc*Tq9_vOdht
z=Uw3KPry|&<UZ^6euOR=n)S=-e1D3T!J7Nc8HD=lB~S9uh_b;~dsR)Mr?d_CiUD#P
z{x+u&`xXjdAbRFec_JXZ7kdjw!sGnPFW_Q1;`>N2pA0=_W`_$|l{WpQhMUvYIk9mG
zII03N>3lFRc}h;c@iAOE4or<`lzMAiF9|*7-p9OQI*0(4fG?&Gsjjkk2kW&XB1|s@
zVXJ2l?<>w5Cba3qD-y?#B`JY`{GVJc=R)wzkiMSPXV4YX!F=)P8-s;EtPb*7^Tdx?
zLsV&k>ktiDnu-|7QtFwD^WOV6g9t7h+}{YJ=B6fJy+rbtWfk;|bZwQn#z{<F(&<~n
zt1w%+qOEjm!BSQoAQi@|wt?cvkIMeJ+*c^fdUb&QHLv84q)RbiM0qQ~hqRw*>58;%
z5(Ds96Do)XR1fQ(fm!yPfu!PC1n-%_g@B3K8N)A6O#gMqu1bnSM7q@+LS34H>@Xr}
z+j_*VP!36N@`W7HYn^!c2^&smXbO@dJ~RmC_9|R<t8t6ewvIt5e~6D}UU}e{m06{7
zYFcuVsdxGY2Vz}_ji+*Zb)!eZtU3ZB!5gwb8cfKz@Q>R<T5ee<Bs<RP2N}p1L3`CX
zQ$0LOwi%&q4TeYGYov~rLg4<Vix29Ov5%`S|1N0Vc~%32cn*X}fiJ0D=##c|ue#qh
zk}IQ#E|*Xw$>(E_ZHuIZFR4^IbY{ZA|K-Xl|K$Az8Q^a#!lDa=7!%3q9jb>e24+cF
z=(`XHr^4HNAfJ7^%)S<5fcxH8V0YQ(nk7UmMB&9?fKJrU`wvRWHdVnew}oR^OG651
z!g6wP_lGFOl|ct}ypRpL9OzWNA#E_WSiK?wh~dT<6z3#6dN}Q>{t$%r=j&%bVgy*-
zm3C~_n_wFmAJ3A~>UR1GX{hg~aU0u*ogaZP-p~<-Ce3x@v@|*U0s40^k@{_}<T^#L
zHUUZL!Sy4n+{b3kTFu48eq`U@FO$I^;;8o0tNmW?nU#zEUb>Dd@+8h|V<TfE5vgZp
z{4YdBzFWU$Fl09?UTIt)*!^)Wl~y_SR-`+nljfl4uq}_jw;C(&`>ebL@1^tH#+J3W
z(3eHW(%CcCYrC>9OYjpK5NfXMrX^}h3q#l7s|UlyfOQv3Cho3iqvsR(e+uh6iy{Oj
zmMP)}y<RKj)V=?Jw=p7_!cqJ}#{%=+Y~TQ8EN@l~NV3h*?79ourvrpTS|J3A%*oY<
z=?-HD8lZmlq*?|opq4-_Fc&~!+5mg|CytF?dX$R}qoqo-(HP%uUb4WRc?PTl3nLNM
zk<N%bl|vwpQRiS0dnwqSW|Mub^>FP>$pB?Z5Mp;?PF<wcuD4$5IEUxn8%C$1$WH^h
zh@?(%J)fD0WzkL=0$%zXhrwTR1@vhVJ|#%@Z}b{)y*YS8MtD!7kFk)?l_LIAkA5Y?
zFSnC{!}86op2L#8bUnD^>R+?>@98|zZzhif`AAg9=k4grRqxsf1yl?^T_(eafM?I=
zwNKM)LHF%~N>D1-g*9BuD!Hz`*RWK%4uUgD5{nu{h7W06Wg^LvsWU<PrO8)J--2P=
zAfBKRxL#&k8r_LR+b(3PTDi12PFDN2<<Yy3ANZy&;Bg!ooh#y}1ujy-n|thmxH83<
z5I|#5&CdA^35;CHGB!<kpR~F9EwB>sw$odG%)-;I%LK@LYqbh13_5!)dKHaCC?D6J
zyK?-PkL_Za)~<|&f{?gN`o8scIH}<ttVO3l%&3}u@uvFU28@n?MX^~a8HQE!Zf=Wq
zR^=f<yo!&2_AR|=O8QtvIS>D5SNDpYTS3#8jI(16c>h>b|IDiqE7CBOQ^NT(_*bL=
zecE~KI+zMd+VqClsduNuR}%b=U^^(V><~?ULnudx6iKKkfr-k{x%0U5tdB)eAm>b_
zD8lblYaYC%p-zgMLJ~d~0q9zhM{j2XM%}yM{h}_tQYh#mh;>%lrRjuIOI;1O8rLL;
z)F@z5Q<V~8gxX=iti|QIDewlLW{)fT@S#?Tcowi_fd?bxiUym1ZJw?N8za?tPCVbQ
z0SEfzpq>iKjLMF9zU|z2{wkw`sH3{TyLa_<fF)a8<Nn?%)`C`IhO4i6?#+8-h9~2R
z1`~7$i6N3ZC=hO5cYAh7Tu!<3$nW$4W{QFh=CWqIrbgp8Z*ctA1D0VTO<j-kXshIm
z$`w<ro3~$DH`(M*NNa}v9Z0`PkEu@1&;4PE)0@fMu7L~(UEG#oaFzQC6VD=!8oq?g
zz|2N9H4Osc@;?C$BT)uLem^qTs^K6{KgeqLa@kM0y7+$z8l?n))sZ$?wJs%zfWN{^
z2)OEv;|*tEIWN6WImDn6Tu8b%Jx<&E{^8E6uPQY)KkFFcZG5$eA+R&8k3|E0wASIG
zKis&x7kz=Tm^FQ<if5k83ET#ir9Oki8>W-T7K{dC4?42S;(zKT=m&jUJ$^RmNXnK&
zB7GA&gmYmDZ^6<G;pym9m=V4h=($ZwTzkOF+kNe0m-^Y|nkWizyPI~mCY;fu|Gdb>
zFvT{2Alc!T{B7YR7P!k56O>N}LqkyOgq?NVn@dE4)k+knv*>3ChV9s5g(Xm-jt#*{
z1<hC+Wdx6aMF0FoejbX~_EjSApiDPZg)~chs2<}S!;hb0o6~+NfFch}*6|Tg>h3XU
z7=-ETR4Ek)xF>-+)Kpfh#zfR0TQGaiW0Yz`M~etx<a-dAK;}2wnVCdr(N4+%kN&-&
zH6s{pTB6F7&HGfJaKCU-m>)`HDhq0K1^PXZ$*o}_d;DAJM0NT4DD2zqlF5b>{(u<m
z3^OYK=Masu4`xo_K>mv#cqKGPvxyVtSi^n?h<}<q(kB<lAL6-sguM2~GR#*r(`s)0
z5p7zV-i4#J{eDk9AJ`WugK%{W-!zbKV}MO@VOFgTV0hx~GseHqMdgFc6VeB}0(fu0
z0?Kwz?Vnfy$D8K2_-X1(p#FkOjI_zpHsxe0l|(*RJ^)UkSxTeVT{A+Z4j`@38}Gho
za{T?_tBI_zqhXE)#4dx4fn|Z;$XdjAxjZSN4zoV9eJGSEIleMX0+s-?pi+`99%pHj
z)Y0}26=Ki5fS5NTi|`OeGCid!rugm*kM5hx-|k&&ttuZ4zQ1(6ZXtHb{P67f%~|ui
zWQNDqmyjP#{n(;nPV@hJD@crM%(UfuxOBW-=p5)a>q2HhD+PkGPxVZbmG7KXvU<`2
zu`E8_;9Oh`A}O&L1<kR0$ic9``0O{$5)nyP*dosBn`+(<+N7t~i904i5JTlnf#24>
z#(RT<e@?k2AGoQFm<95BhjtGPI;6XiXJ7YUFuA08#GGJIp)Jvqp!4ge!78p(c_bWR
zV`*~``<2K@>r>txt`=11gn5&-MbvG1+VMpTD!8nhkft2K89|5=O~!hqh`yJ$i?O8X
znG|q=g}i8?O9I<X66Sj(Kq+P!w~%lCHY5tc{e4NYKeTbA5x~0Bc#YaTVZcMa#`xnQ
z(?s30=TCKGpGc0cQ_a9`XIRUvA_2D48cCX#cFSFv(VLSRPQoZm3hfoEcn;!~1fJyo
z_E@UTT36xm?Rr9QNb#O9BEK;m%}A{4Tt_GTkIaxi)abdo`p$wAI?>$rJALRb-CE2c
z3a}1TStwTKz8O$(gBDm#<(_+^j182}Vx$twots0qKzSMI9C8^TaCMPv$+z_^6}#w<
zei2fqb-mLE#k~e5wP*8eX$a?2kC_F8a{(6@A<o>Y6bbDjMnZ8Q?PnR-nDKz((RBQ)
znU2dcd=`&*6Hs}hI&nFpMW!@tmsX8cF$wk~t?;6f90`4Am)v*32L&7mS8VPTTvT2t
zzRJ;#3!Iy2MHvAP)qndVw(jkd@SaWp4VX4MWk085tURQ50BnDmxog}(a8o);Xl9_D
z`SuS%XuQbIq5U=)Dw<th#4OLXI~5?3yC6SHZ=4sHxig)5agQB;cBlcUH;Gr{=ulN-
zzvLOn_~|r42Sib7It;UtJHffZdm(gqwtE(Tf&TbsTuJ77xz#Rl^b)6GDhcM7Q%gUG
z$5v9lV;;K|_8QnM@|MaYNSi-2v3E&0sp3r=4im~T*`n1!1J=PXfk}s&uWid}$`$VP
zKqB+tbf7X&HgL$ofCb^R<A*6}j_U8My<iNOBs`}XEdhY2akpuDRq2b-*4-9K5>l{D
zb=X)-v(*?6mx3{0iJO=J9gY%jX35-tuxynwjV^{J=hGf$YvMMSMJ4$(`i)laQ3oS9
z@f%`w6aWiVvm|bcah}J<{w)!F1T4y9MtRwpR5q8T4=zg-gl5S%c}6X2_=my+E(>h}
zY62fGHop;AB9@2KKIxsOtIS)f1MyK4x3W}gC`6=ISoZ?qb0hpPzJ7e_PXvk}`@g%c
zs~xE5{7r3&S|MAM*&2G6O#Z?WgZu&0<?v+%-t_gkZ>?>i_^p;T0$q+t(in(uaR@Am
zTSJap8u%RW+amSypL{1wdRs?@SGcAREC%cjxA;vbVpjNq4!?=CG`)Ir6c84~A`aO^
ztb}{yR5aKFL|hWPm90)zjZ<XIr3jIvtuNlt&lM9y)N6Bod)az;0%YM1NBwtE-Fz*<
zK1o*Wrs`C_`j*mH^u5(MA8NeiIC0jIL(*}XQrbG@!a6pp^kkc9BCMu9q*!iZ*vN*l
zKz()o_7VQ11fenDvzCw&P(2tPostY~n0O;LE?zL;HTcmIv>vxu=s0_WVdyyZ-N+A?
zYz;9d!M&i`sNqyPw2fG*6^eqo^4_Xcb-dyR0S0#fb6WCy8i`JyOcmSEZkL61pbT>y
zjldBQDvPN|>#@P$Z1)`R;Kt5$-lp3+@1u_LGzdm@yx9!PUGGxwjwo0LJ43x6#sk9G
z2`PAw9vTtSNEJP|#I~aVP)`$V1{2Y{J=nLWvn~Kl$$*S(Q7^8;#VaZYVGDX>-9h15
zo@NzZ4z>ce_#K}4EGg+m6yIhk89pKsS9ph5#Ye%L%CRY)R@9Z4{33hYmID5&TDrxg
z$IbKorC2(kq>2x+Wn|7P8aZg5=kqhX$cJ6*YJ?87=)E$p@a>}qNd{Nc*UgoB%4Rb@
zzIGZ(>AFc`LtaEVP99a7<O`3#TRP(;CV;!<<V!T)f>#O^J|mUdWe*s5kP|vt3PSqL
z>1E!l+UhpOr1WIf;%ii(>tAi)mPTC_F;$wBmT#RDt?Ul@Vh-#SzRN;(exLzW`$fh+
zmQ`2SU)*ZP9atP35dv`u`l$i`FALzP&4?4|RCe|KHae<MovI7gc@lxLrM;g!x?U#k
zRTg-J;QZ$$$AcfCQd+3s%a>P)%8cF2X@=ty?SH)DlNJpup4G~ehhrqIX=Wg=B`&nR
zwKoj~x^6V*u4z~(#vz+vL0dqmGm{blV^6H**p%o?xhypI289`0)jQ#{xk1y1-hPyc
zKVSF*Q^1?WLU>}q7vSq#6ekqB0f3Zx$SKOnd9HKg11CcJ`eoy0i6^rGxj|Y3KtA2B
zpE!M_lQ4Mgn4ZN-Bgxy2-PvGDCIe+}PoHmpug*osFEGg{<)`-QD7jSY&W01h;j0_V
zg!Ed%h~2jbw@l6?>E)1C3ZI8Z8Ly{WMB9*=g+a&AC{`U5i>26z4misI9aVIcEQcnp
zUmxUL9WM}W2Eo`j!CU8Crz0V`BF}rIY|-E^Dg1`Ox;vXdcv<sQAhdaSj{VW&<yXK#
z@^jRamvNC{JSzVigznbYz6J)jGTCw%$3>}1^A^GQ?q}yBUsyfII)4cn<f+ccmcz@0
z@9ozX0k4rhB9P}z@6aQk_h9)I=~BVbeG?D77g#5(q2uv*OK5!ORQ29Q{iSlL=0r)_
zWx2xt#Bpa;A)2e1^KYTFlEZeG*U~R@@9$Pn;p8zJi+w_>@D2hPr{No}6d5CDIS2*=
zLk$NqR5-NzS>Dd~G2mIxWpC&9K!%U?U2z&t<FaN0gA_1;M!gW0Kh3RpfdeT8>}s$-
zV2ZWmQqIm^lWiu)O2axC@u97cWWau!HdtLVikB&Oa?j(vfjg%&OE!4*8K9+4^zA|W
zZ3I*9M+^YRTk$-J$61yvl#&4}*`i|HA|k=h=o~n<{?@&9oVJY>3D{b#{3f=Ed1Ms&
ztrc)w|Mo7C(XDJ-R9s9f)V$ybbg0g)c}+ks?s7B#@R?9(;5Y^R%Fcs6<Xstd5p~+;
zSidUwf5V^n?G0ZfJh=8+2v`%;^izS|2Fr_MtMp`6FWa$oH-Y!)MUl=-e@SZ2uobu)
z;U-Z)LDZg73AG-DoD?{e--koFyI*j+RXNpl^k}Vj&Ii9Ro7@cl_@5%^k$=(RrAF#5
z*hhZgl~(<gkShTU8)qKO4&+w993G5a=OR9GM!(PlGHE5j&{a#o2CGL@7g>C%#z4J-
z(wbNt$lnaGN&(vx^+6PJXauseH<nbU1n}*s1RxaCH+t+23@;em+49h3S3n{~3uQ#T
zSQK##Z@>IFf1Nd_yi;I9Z23-Av_gl?dG?nUmeDW>kpy^KYw;Y5YS0RcVraUUQsW`~
zc(ZwS>KycM8usP*@8s!%#<79pHeEb4MDWoJn-Uz#F@NOO%1k1cyUf1Oz5%n373yC?
zJ7Gfl1#GD0O2!dAxiT1F<hZg@8Q4;v1n*e_-~jb-^2mF;Mtj7<a|<r{ddIDTlI-}b
zhrh-rM8<O3AQ7#b#+@amuG42>WM#GEp08^sA<&=Pb~V-g{2n3P3H?F`j!`xm>j=(+
zjK?EsR%P*l>g1%jW=%>8(~Cdn88}X>ZinE!4(Q<;<ZmB_kjj>}pK<>3mPW>-C^hwu
z=~9wFf%$J_3<ayp;Uubc&&!b%x(zRa0e0FM4^)1s5S)2@=LkNY@ViWxrRomy0zB5a
zrQ}?~BgRQRfj=EphD9>T;x`L$$wZE}M58W{SKESovtOPunjjvXkMuYJ+=K>cI@6h<
zd?3h(0m26XHqNfEO)kG$%%H3PhpDq*i|UQqJsnC&OAa6sf|N?bfFP&{D4;Y$Nl2G8
zL#K2}4u}FuiF6K~($d`xLk}=<Hvjj$=Q`hD=Gl9%XT@*b_hDcV(Iedl*PyqNxPdhI
zTB$4d26<kW*)L)g93OBwB?JuX|Dw_DPFoRr5(I|!rMlT*x+w{+TRk|Tg9_%)0NVa7
zG?fs1!qbboQ*i*EX#4h0+YmwA`teK$(_fnm?|7rMflK?iD+AAWXn_v%@hV!ZA7T+d
z5!`@cAbh`c4HAd%{~6Fpvq3ZEv%JX|5P2AM&K!A&5q;he<S!;lc+gKo{_z67a5;}I
ztV8yvD-}iou^94T1cBQ!&EJ$DVNfAg<z}flwpC*I=XZ(IDKUPgWa-SGO#?6>V+T(v
zRwTTZRuVQ;_5K_5EkYHN4ZJxAe_x;?m7qq@=tU#LuOe#z8hL2`XZ_&c)Z@YhGjEqx
z6+CfMtH8!TlXr1H?xJBMBDoeW7v*#hOD=S&pz|GKI%~*1eoi9<9RdJ~KE=WwjVuKg
zki6yfWr13D!{T}o(M3&bftuAtyt0l#s*fh%q5ypl<(uAY8)hqWO8F%k2OkGhVl~mM
zzzV6;Hwg{h($^XN5fHD9jY|KUIerB)WtsOIiD#0gTz3bgdaHB4J(RWNIq=4ItVz=H
z0zKLePLsuNB7~h~7M50CKi!Epccc7ii9$b$SdW~of1WdtKdfEyUs{4<HNcMQQNH#x
zl<pJ*#!#W}-!e=xO@3x(gARrjjewCmD;^aTZxlAQ^zey)GpRPqp1LQc#dU8?V6Ue{
z(@$RKhqJ!RM`+NysjphsZ&e91p1q!xgqp6R9NC}_Dt3jftEKUwazDNE1j>dcmi#g$
zM!_)fLzCYcecEz-+U~8oSBZ}&M$zGwACJp3p!OaJLQO>Zb7*6iCGT6WuEA3HuaTnI
z`wY4dgjzhid)$+ALM_59{LVHp;-B}Y@%)!}ca&mvfsPRyUJUCpPmWH!>KjQMYU!xz
zxtKrSAMV8h+@rIFpOUaqCGBxx+j}@_<4QUf1TOPN|Kw7rjN_+f=}6=n3g*u)OvqV(
zdl$oE-^8jo$cc@B{;9g|xW4I;y`(<`jH{FIOLq-J28GQ!p_Obz`Ic2~?q$qs5rEpA
zeXh+z){F!Zr*WUfqJO@`N?TfzB`hbz#66I&QW)AP<iLwCQacRfd&$K;L}4sTP9fNf
z7!@iS4!$G{`y*vr{ik;>7-*Q`JnDjd!9$Ou+^OdyAs?E#veLE)$Rfa3FAKKd0vL7Z
zMj=X)kZ1g^V(O2;Q13z^)U^)0AJ!aq0n_kZr4cu!EZY&{JtyKBVxZy;za9CYToSmh
zX}AVEnez(#+<a?5eG7zQ(W8wOEY^y;mUkMe@+9MI%bPD$Z)F@PI>Jt4e6{bIXnzAo
zl5+Q@+m3D##cfb{rschts;cEi#h9*xjzKtkNA1yq*P@5dWAEV?pDN&)dpfsI_XoW7
zEg&+wzLu}nsrc|YIF{=q)Q~~mr9>t+C~E^Dgj4h(D+I)CRn(h1jJyjTqDG`;PAzMA
zQDY9NJ0u^*nnND*t!r?v)0|vh2P?2aYeG@=Jw;WbS`(bOboIf*qd~+Di>ITYf=^eO
zEJ%HMHQa*Zw7Vq2<*9Jq+=$f(SMF(fp~5)c_l5YvpRfx@{+Gcsu9neRF5DZm+g{tn
zXky%!mhErq-rY8wc(Q@FhqH?_5l^!*@nD9VYbciO&MQ&2kj`ffvALTpgwh#c`^JNs
zOCzrxx*JNSr$yZ8ND$U$%uxJZc;V5L5&}aIfg1zRl3ra}np*miW~lj9+;K6%QsMk>
zm;XJ1F&A_U1%W>GqX&ukOG)ezmIJ-9ZZf&Nb>{J?BxRL7SS7dV#!nWgX!5jB2aNi6
z_He*lSHQ@(A+Cm*?<vtM-Dazw&KR_LiLYk0c1rI4G3E?6P8l=NRvGB`MV-rh#q`6h
zxc)(!N~&J+TYS&;w0WoIfsiz$!((XY!dhtl1SAlLA%a7#um>lTpu%zk{rA(SL3jNb
zJNcGhr<2kqvgf}@P@#Cf%9Qf*#v+8w;~@_`D6qz2q29D*kh1knhYqvxw9irV(W_ZA
zK0rF2gdlAED_+5%NP<YcUT#=PLHe0$A5((uXzXM{p5xf=;?05I!TA&f{=|4DWwQ03
zl0!z4d@bbz_qKrIN7=5inxrg0$Q6viKo+;~h;BXt?7R)#J3>KFt58pI&0!bTxTi{j
zOvLFHg1^b<jO?<_1oqVN9vX9)a24)$ZfXS&XiKdL`Q0zH&D!scuQ$rO4^=<BHe}Zc
zGn%nXQ7q(mmv-Hlu6eB`*7iaunYxeF`I%lZVD86ac0EvuBnW-PERlz)>%HekD{wC_
zOiad9ODn)pKoga1Vsyfjy(V;OF$v2o5M<o{aejoYJJkWgqDr5yUp<z+4tigMK|p}&
zk(d$z6WMJ#@+6|I_&c8VR_Q)l_>!!|7m9Im9pb(R*$>5%{Zlb}aLis=ILP0#9T1!{
zKK_+50g)zC86f?-oJ=&R!4ulB47zePWjag+vXY}~>C5@kSq4EvWMq}dMBXOMyeH_J
zp5$B#nS*-6%nxqjuqNBX{ow`Ht!o<WPp$axHUAz$?`i*qg#LU_%c%1W8V1+;w@112
za^<{Gu1xS2Q2A5+E99%^kFcGTRmxZ|lnB+*k6{A6Pu@y}9YfH<>$DZhvTjI7Zwc6@
zc*!&z2J={K__@RWVO41K0Z*82UC@BVmzD54QHQ;ixvXMw8$rB%b`-3gsa$!EfWemJ
zGn<GX5%O!CBP_Trj4Y2Sm3chgvlLut?f-|V6bE-IdpWsAB)KyitmUN6a?M%i$K>>s
zTRBJos^73%4Sms9Wte@A*jRGb8~{OiE$l`xX)J_#fQ`W77(k=b1O!p*h2VOEHuucR
zUkw(kSOQfR>%ym>>YF3)U{n(>pJb7bV_(TDN^x0|AuV`!W_0(^l<5Q|{U<zDF2c$-
zm=;EqWXhd2f{)F=LKwfqOhK-E&?3*Qgo@$6yKxn&X%+a*ixWGj23S#KP`8P82&AXO
z^~0PGqOllCe6$?B9v|q#_ly4N6rS4R{pnW&ij=Z4YrvYXOLU-iY#L(f-LnHM%OlY}
zmWh36ahz_mQ!6g<eBOgw24(uTgG8AWCeoikm{E71=LwVV{e9a^_l_X@`>xvQ7LRPF
z3jEzWVH7&I98-_%`9H0_9Kf_rM?FX8l{3ltC6jG_c+V(FS*&vIFL6u)T#<cMgPo}V
z`le43tmk)ivH?38fK&WmAmy|#Dsc`;VsM`%4<FL~1_knBs$l*PNO=W3**ELu!x=j5
z5VTh@dPbq^eR`kH`V-S)T7s9;i*JiDZaz$8r|G^!I?_+;HWMI!CQjGfaF_p;v0$!H
zjM}a;%Jg%o4e7rIdXxK(#Zi@8-~pIGBtAU11a)l8@!@;6y}OzL>@>-hJF<vYDRK2j
zbQU?V2PwrEi^tV9mH5HkSS4u#x{OQQ+2hJ0CSvRRAN>bQoY-vIh)hy5d1l2Ur<^fJ
z_mZ&VIsSx;XahLy1H|uqDpvZi?q{XtAlo@YkrIRq2BDT?WiO}m&CwNmYgW5nv;RMw
zf~zae%$&Av1dMr@lL2G}GDdy8_4*D%cw`>Ww&48oXbK{P+ExKK(E8iQM?m6&gOyF4
zapN<m4$EFs;N`#Dwua)C@&4fsv>SB!0VRs^eQ5nJ(iO@7;B#iV#()I|E*AJ}9OCuk
z%;P5R{2mxkYGLYZW8r^&tigTfoQEyZ<?4ne^7Q>2t8cdS0hE7b*qOEIzSfH~ynezZ
zzJ(Bl1LEE>pxqH?I3!faPtTShb%?b=tId|M>0yZ3+(v3+#5Sn{l~r>6nbjz*KY56C
z=6#JZ$XVg>h{;maelSt`{BSil`{&=0zi-gRcgU8)lyw>@#Wm$Pg|`7j#THUyH?s^(
zd8`m4d5XmO_Agab!q<5zi58Y?YQ!dg{FNH`-a+_WdKcB6dlpDMMKwoc0P44|do~g4
z+IFFkYdR#>bf~gx&(b6JC55uT?!6`2cSL*hg>k1^!H2Pz_4)Y`6~6rJH_;|Dvr*v6
zS~_VdeU2xy8*fgDnXf{uGY1|<w4%On3%jo_i<E1y{M_T=+vy+uz&s>|ULYiRZ`VnT
z+F0#7PCM^@Czez-N6_o8Jgk35IrEE|>)5A`2iOzjnxL2IoPEvXrbdg%yU!zF-*^di
z#+`I;N{kZJL%kZ<zx;J!UOst^9*!H5^Fdbhur-3hR%U_^c?=+AP50ku$r!h2S$my@
z&<CFjy6t=HsUJBcY0|AWnC;59T6(xu|H#O{Hq3r~b!ug6!*hlDK}R-nbTw`*NohRK
z7xM`6Ofx=}<%;(%6gjaM_nDK!aHBu|dhb-aU)9zdzKApz#Qi{6a{fO4D^wDy^C$)i
zNKac4jiH2E2IGnkDCC^)q0us=m~GWP%Fd84;bhPpou{W{GuJfV4nZ|nqm<CPpRn#u
z3&r$}w?ENWk|GI}QQ!O2hUwakVJuJ?JcHKqDa>GP&vT&RMrAVcZ#j}pDdusN>nVDX
zjFmhkPw1&eZe~twvZds2s0p{-)8br7@U!MXQ}(>DR+HS4R7}B^w^pH=k<;i4hWgyJ
z-JQ=v?0tqWyqR^F${d^d0)n1C#HYUFR{y#hvsEg-#ETlH^hYq4l<t{CKl6K)D5^gu
zPryOCn9kcTDnT`KFZbl+Lr$)|V4SA4eE0N=HECKTY~fo8Q8g2aG5nLun-A@<C;U*N
zQR;iE1icG>Bplpf4$T6j$l|y0Fa^)^$hcUNrMJ+Uc%9eKE>&x<cY#oE3?Z#@S-au0
zHQiDjekw~Nj<#lm4%*$B3EDi(4uolI9(8pV`tM{?S&K}5o*7_mWfx#6)vB>nls*M4
z)UHGq6sh?K^Y%db+i>&NqL07F6`hWgeplnr4Yc$EI|G=uf69VATzD%)5kqqJ2(N09
zNW+aiqbW%-g;{YdzeV1NLOPf-eC*xwgTX8=pb#P?X-zlRV7mvJ53t?QfTdC9cq2Y8
zDkN7xuklHd7LO$y+y9qy@rpY{!k)mPlfM}tzQ_D@0&RC*W+^4MWosGwdP<rHevt`2
z<m$PZc2~FHvTtMkY`?;;v#NHGL7mh085K!8a5mNrGc^lG5Q7Lxsnt)9>=M^6YJ^;V
z|0Qe~XL<1~JqsjWjqu=+8eJkR)kAYI9aYh=t_^4WN9?pu_R}C&%_v-nu4%3auu9Ms
z(6)vk2b52-cJ){6MvCe^O*10nrxF;zB<+9Lor-s!FPL~tjM^jlmcVN_$kqGl$lwor
zHOam3n;USU#!%s>2jpd6H^BC@RY#H+B0wLG5YN4$H|Jk6(PQO7e6nFXA%O(&+`&*%
zp~pd>cw%a2(YqKv&U;kb9wff|<{)X);?f!yAGd9ZF@+2Q=e&!^;DpH>1eleT|E^Vz
zbGKxjLA`QsL#k-UQz6kHG4JOIdRgqhdbQ$G>V#e-GQ7Iad&RXz<@Wl}fd3JKQ67Eq
z<AkBbI<aw*sUlI{`XBb>GnvID>cv|Xd|7#=KD?c`#WG$Xp>a`9cU~{FJ0=9YS+E$d
za;|}Fw5-oOvixayFW-)D)j>KmP~aQw)-Yf}M-0eA>F_zNXpXa@)Q`8W;!k0d5R2}v
z$h8vvV@@TE<ino^;?(<j2Vu+@r*oJCDhU?)R<h2?VI97w3L~BTG=sI*^9<Xu2^GIO
zs-McayL8!dDZ8>`#=$v4K=RZrAg(cL^=;>-XqeUXFJ_l#Di3^!`WHp4`&jKQfN4Bc
zASMdOw}&6d`H<&<G`zOhRUVQM+V;BvIj3N_1Qyl)_vQ$z=W$$!P4fH_NN=uk{bu{!
z|7CY7ZrPou5F5PTL%oz#lv_n&tO2<HgYQT@+*+HLX{gT@P$%2r-zXm*)#1OpGk)!w
zsf97d>#1Xb)|_gFa`5A;Fr0q-VEf64J2Rbw{mWyM?yM4GBoE5jSQg62<&wY#H7Gfz
zXjvoHbL-Z`SSx6v9y)R7N#}KTt#6!Odn<DkW?3=n?yXcVNu$r)lQyPYFBtA@f8d&U
zv3gy*7=q0UXSse>a&TzWHeCgbgU*0)5bN@qDr{)`ZzK+#qi<BaQFZ0!&#b9G@{liL
z_luxG6UWE*sQ{K)gMdQzY{Yy{|0>%hj4N`Dx8ByuZ&Tc`%tJF$O;{>jS-!XrTX&@)
zdGJrsdCDc|jrLyPN!|81R5JAr=j&0=Xx!*=P!*TP6&R4Z36h8neDhw_^?X8y2QuW&
zKuQWd=>m)P)RSCkof%^6YEM7U+PohCgfkCQC%}Usf&LRmx_RCThotJ|RYD>9R2tu1
z+TA5Ss2g={2z-cJ*rhCW);Njr<cJn(AbwJ9P!|0Z`r&{@>j}|KHMfcMeijU6(H%@F
z`xQa8B4Iu}4dE<Kn%mhrcSB7<puz3`eroNV{6L0S3A`ZiX1hggH`EjFvu1I!G9AB-
zTYc2~9YU@x#>YoQ(I(0IcR76bNuDgF!}`73gJH$XSBdjqxg`ScJ|sDS2`b2j^=*Fs
z3_v`1{9=~@SP_i)lAG&FqN-3cTbtUTzr->0%<;1#K_30a<}Ji?<;+zGLu#_}D%4`1
zKML>dq55X1riock9fk;nu~QaI^_a*%B3ocED}98+h{-Cy{=WP1e9O=V)3n_?4#7~j
z-BdT}as+W!k{C1#XBGS~|0&JKhnC*ZaE<{-{Q+s-s}+{kkABwtqR<SLjWOA__<Wsd
z`c|y}WqL>${wLL2*W#T*-^)fb;w-hHr0wB9YeFv$=u*F*pcJ~I+&o&aN!^3(j0qOh
zOGSP)m^-1veuoI#K=kt;F+fx9l>O~#_t@T}cA^Qg9jAotAHLme|I$gRYF*V{Z}gAd
zXM#V7(o<sR91)^wHA3aTsn8b2ftu#D`o4(NAk8L@NG`j<gr7LkW2CRvlWK3bzzWs6
zKe-;eaWWf9!dv-7=$W=Do+X;U1C#yz9)mhxxwE_ebWHB)wou9ke$wqwaJ`MZvN73f
z8qB^~=7|O6)srTx=w2d5w9pS14^HRDkutB(dX(t)D7}Dv4%Tq~)(KT@J3Y?5;nTv4
zU+~qXdQ9glutZxB>CjUDY>R~f4Tg63OdOL8iMiwFfPNoGHl*eJw-$~*SX=T^F}Hrs
zHQ%mvgse1btR5f#^PVudLO?WB>)$6VK&Ec3H6GCodD@8*Y_~H>w>@u8__NH<Nb@<C
z`^OgvLX|D?J2r0;x?bNN2AFEvxrcRYd12y`JMh~KSkZioxoJ0Ds#tatnvA`By2a4q
zH&$D&6kplEke`7EITI8WMdUZp>VpN$jMLQ?X#_(^;td;Hdb-Iu=%gjWmDNPc#yW6`
zS#lF}TK^x?(@f_4$L36fBR-e<ozzCMmNuz<DPp^Q^KknJnUp7gR}Ub2LOBU6kPj)F
zjHxQ+^>&LH$WnHMP#gbvp~m$0ru5+!(JSvy85pxL-4OYNV)jp)laO53hcC8AUB+RK
z4LRji8#C$;Kai$B+kNHqEZ@DkA>xas>#mJ!>OOYALefsRAa=Kn7}R9a9zr^N{{;|W
z2SaXgC$sNEz4ga+4a76IoR1fTppUT%Nx-&!51k9_O(+o%-N92~aqiqw-G^i;-IED1
zX?<7caOC*iSOZIgz#dD29h%XOwUBlb9@_lGKLjJI({{YBzW0!>VqTaWuWsy5AGemV
z`;x?cjGr`E)WWilt#V&ea6pAAk(CDP8bbuc+Bv<Te^=LA$HdM&sAs%ApLeVuF(~m-
z(ZVyy2G`;ihmcw_a(xdiIvH;C4D208SGXotLA!CI?XZlLGVnxg)EbXE>WHRRV^mQ^
zkIl~Q_siz+eW9+o<EI!ER`-7ibw#dL1tFrhZ3d=WvWXN_qV`z8-pVqB>y`J@_*$Kg
ziUlM5crregACLbhzCs8nq_%Sl0WauFZ~>FljR%Ed5S^B+6Zz}`Q@qUrxyu=@*Exo#
z1DnZ{RYzHX{vD}lBbZ0L(c#O@>Us@64<vcKp<XrEdsF^0);RdtLFK^R%pPU!jPNyJ
z)}et+3M%rF=OF60Yi~nVa>JkVyRDS${}f<^rq?P#H-^(`FuaWm@dq5xNPa#`k5w6&
zZ~0ac$gN|Iv!g^XiKoreqWno5I2o3mX<HlG1FA$w1-B#5Lo~Zc8HkGk4LlyBn`v{K
z@pXc%4?L4^_PmqJzU%yYr4f1qXJ+5xw0i#esO5%@AHg7hMG=>9OZB`V0jQp@X5$_b
zwwD(UiQa3p-`r{$oAwep^lR8M9|HAMggjI^z+<^U1Lkktf+ohaGSHNBJhauwAS}B^
zg0fL<#B97-sDmU&#gQi^zg$-=R$28@=roTVWD8&9SJlg<GGapPsVNfZ|ATm<es!`}
zd`aYw5x5oBLH#GJ^91#RekIn~yIAkj1dGJS7R<FSS?CWEKD0AOuEaEiJ{d|qHBgdO
zf2}PbAclV7zM^sX^+`VXij-Wc2+9X#e6Oo#sCQ#4$_h1g077eWAvK1DJA^Cs>R0dv
zQ2!#k^sM~g3vr30dRm7q76-2?$wuF&#D_0<DON3cTijs@Y7ly~F{%O$E$=q8NxsE1
znDNK~f@e^2eB+kj8Cw?+O=;tha>*g9)N?O8JkvF=%r5111VYGL8axQHodF~1-yWiu
zO|Fg#3#DLsc@>avj4Awb&&nVB#T00J-O!Po;8T7GlduZ|=c^`BvZ>kFOf<HY*#1@a
z8|fzE8qlLx2526Jtp~M2>VM#~+GI%AlCCeL(Eb&IcZdDVzE{O%-AkzI?7&|etvD`x
z6X5mok{4f+F-;^m*~}V`67JU`&l|}mUgKLEL`Q2M#DnYEkK<R5h8Qw74pef$8#o-n
z{z_<8Rz=(Eyy9Iz{5z%gxNtiWNA#HLi=mbdqs8=&Ex=9ZaTr17AidBVO24Atmy13S
zmVSl-sz6J{+!cIZ!heRuE^{pHvhhQsJY&CCvkGlB>}l1$RqOE4a{?Kg14nBkvWLa>
z3lZ%Xt^2$m6YJ>3*38*dUX>^>t@bY*gR>FXU1!LG)x@v&u)h%>T3$O#fLy3pPku)D
z3f0#f_sYL3(};gSMBIFLcK&ac@{*LfxuHr*`u}S0kV4NsB9qj@?~r^-8H{}&wcIOt
z7c27dT*W8sKZ>X1v}lbAQHjgI{tZ-EBI-^{wQMe$PQzf5eZl}pl##MPN%9g`3_n-V
zhgH=A6ZccRc<lO9LT^tLKAP`EFN7iOBrPxKE<~b}kzbYMFdTYNSB^f1#mOWxjgVaM
zyp~Vc0sbA6Z+9aft~o$AS&%&SEXw@M*heS!F3hUpFn8PgJ9w}4<uFH$N|G2*A1Rrb
zup`dPp=b=SpeLs>#nIA+QYn&?e$5h2{ciy4){Q;xVG~+*{>FTdpp-G{ec9jKck3x6
zv>*H4lZKd%sZfil#y&uUZnQyw6AA$ZYm|2k=@$zJ$w$y3ZDwdfk+MQj#G-zgK9p?S
z0u{(en@jPwxTfltdtUE5It(L5CO8&+v@CR>`(gZnlnch0*9SAO16vvX<x5}*F4FS-
zU1m_$vYBCv$p4^dVVBxK^TnqF6LB<YU~lwQ%zk!8Z`4edbHon#mjRTvPe9>8M4Q%5
zsbxmq$uUDTHwrtafjgd*1W$g<nLoa*Y%WO<f|#k6i|XND-&V=0NTAQ-IE)`SvF>=I
zQ5rg^Td$7xFN{x+GX7~8JuZfoor&-48AVLiiV98HVqBQGa|*Lo#vlj>-SsTWycgoG
zjnPcqmO#MyFrCIv6Ov5QSpF4F_Jr!|lNuGlch}M2E7k7?#@Ki;6{lgS0_x*Bljh!Q
zuRfnBcn{<#V4wsSV}n8Rhhz!fbHXZm=??s%d-hV(I{ywITJL}bdSQ8`C6^xIs!;Hu
zt;sdg*weI4K?QWaA^QTC!s?UoO>mq9P0Mpge>ruxxl%44)wT=%j%(>M!8W*)W0_a|
z#RESEgtQQc+os6VDQD3Ln!4|Tlb?Xd0o<7scs(E}%8wc7%o-j)+GJlA+!pDy?QKKg
z;O?GZg0n!CpWCsj5X=cN8x(b1`6kiDYhd}Aw$r@)Ml{D`iO(z{p%tdgf=o_48IKX)
z$!L#ZhuUl_d56d<il5tY#94xGe4n$r`#&Ak;c2Q)-lUXTDUTaj7NKX1U4G5Ie6Dua
zUnZKt(xE@9@`99^#Bu2R_)OL&c3=;-dQ={d_)1oAU&bFD^^t_sV0P|ltHz4PN(9^|
zr05Ig4&OS_W5Fl1X30y&&x#79k$Z6<zAp=+2$btFal$u9KZI>3&q+r5o-H~u8=H(j
zgboq%+v(+pKo8vCvq-&k(dvDb8f?qpM8NsfTE*`IIz+iCiK@M76(dAR7^i)<qV5JR
zoZefwmh$X*rq#^;7``oY(9_>KF;g{Z7Cue~4{4C;K!pgrO+6&Sx-u&vG!*yBSF<7s
z$VX-x2?3m^-U>x&c@TpA^F#G61i8wfA^*0@z^X9c{vZ99>-lVNa^tQe1;C}oRO%(|
zaO8+!Agi~M8jHUEnd*<B82Z`C`KBkS^?sf12NU7V&xwN45LPqCrilLJRgKMiOUI7S
za7Vb8Tb;|FxKtPF7K@QDejZSQ{ux?xL|UEcn6TH+Ne~FJ6b<Cs2YA@qRFDmfg4-ap
z3~$!|CcsCfG2UU>QXQ%P&cf0L!Bv7vZEv*6u;kFj-y&!u3nB2^zb_O42vc1jj;TSi
zZw+eb_9!0PR#PszovQhxO+{CZK79GJ;Uq3nFS7G4N=%9WbBPVMr$iF9!t77Lvbx~Y
zA-1U&Bd<k(eCk>4^>{=mln>p-qyIRYfp2{|R)6blOPb{W1RYMN{fZvBsy^;alvdLn
z!;mYQbNW`LJAp~>YJ({r-*3*-DaF2Gq2AmJ!TMb;8UV)#N9qu$e0)%tIx2mb<=ggd
zD=8q-BZ{wr=ELD+Fav8#XT!QGVJCxrL>JL~g^_I!pTPS}xj)Bs(UN>uiIK-VAS(RO
z5cu7tR>(Sg%$E)Y3+n#%aGp}EkC;v-kt6*4Y;vXe$9WHzXz?kwJ?>+unqKa^OX6?8
z5=H#i3*C_s?eUaQ6YuIj@fhUgQANo3#?G++#`jQaj5R$YvXlNJotLm#B|gA<)Xwb4
z_LPWyGxDN_4!z>|s!M{fO4?aU+!$8pD#NaPJ;Il6;bCAdSxV&xOw}o^a=bS6P3VNR
zx*Z}5KE_WdnsMzi(|$3|n0|bB_LFw*DH?2=ya^vq<_jJ6-F#v-`{wrYm&Q92kAXcu
z3jWhrVfF#`M@LIJyvRTp(#GV6%lhFBkP)@EDg}6CVsGHsn<vyZ5n8<+3i#SPKP$1X
z>P8v!Hn%jqxn3%qx8D^K$nv|Gc|yhY@aQgO@9fllADw|Bd&*Qk2?jZ->|)_@%f1cb
zFDx-`dNX|^H5WC+=0lC4b^RT325NG!mg;11#X9&RPvEJ(ju)D}D>x)V)Zn-Q=2ts+
zmiVaa-bu|$$1pSI=RzD+fpr2O$JZ&)N1G0cUKNXW*%z0@=wc#w+>3AHBN~Td*{747
zl#_<Uo6S?F#2zbg!MXXlk#G4h)_@>oVjCE<+&ZeNzEO&08XK7)f;A4bB*pO+!tbPR
z3uSU&#e<z`%0%_+Xy9=N($3c-E5WW6UdR<<4Y^fBhsRcgwt%|!k9P%qEZ$3)Wg7qB
z(=$uuc-<J1r;qVs*p{RDA2ggncai@%?yO=ojk9As#>N;~EPlso)%J&dy-gefqgsJ&
z_WHtO{uEE+)_YF4(H8n2E?4{6i(%M`dSMSj)NyklFf&;R19OfHoKGn(N*_c`w&k}B
zwhq)wy)0JvS(Q6FjTrd0KYFD22s(PNf5i)v6!s?Lb0~+Vy`0Uy{^{kkOa1_v$i}P9
z$#&1!N9(5yd|i?JXtpC5GVRq~iAbTo<QM<#p*h%GOBZ*~+p9m<a}*DF7_?37^B(p%
z!I$9|gFI>=%qZm+(eLi^V&CX$F^T3UC^alCG>5_0b132tJhm0yZCA579o?`xrH8#}
zEP)<&A3<*JFP1V?HDi7~>&d`;kH1S(70LBn^$wc3XZ<oR2eV?-y<v8`ndx}w(aRB@
z-D20}G8&-U|MFu-*8Qon^s%!7^g-pYTxc8=wZ;?ebPPmB9+Gv3`!PS5vjxf7hC1=Q
zL4D(dA~u35=j5~dvozEVuUu1Nxh!vA(g3C9s&Vxj!^qWDrGK!ZOojR(Ot{RsI$(p-
z_cjb$6-+sEI;z5k#tlLxhgVi8*2-<%bWJLNt#FDW^JoXyYpD`#Gq;8V67cnB{pH;D
z#v9NZ?MZT12|^{ZX4A|TOeZ>QXaATU6<n#7_eTj$Bz`(rDSj+t*7)k?r2H{$`Q+1+
z?T(?xCDQsJR=#5RpZI(Fc*YA4l>A9%8-}FDRn)P*4mbuehCb@k`;!xM#Nan}Cjhw=
z#XQgrnFOgfehDmkFiY%#+Uk7VVnlu<GpiUocRfFP#3;H@iW85+9uC#Rh*BMo4bPf?
z$n@Wyl8cWfpWICiXL0F$rXh12l4$<r_~hD(FiDGp_)>>1*{2O7hu*>G?SogYc6ux2
zrc+rXaUg!83o%l(&d)z#uj*7`U#K-b5RAmf#5BON6mXe~;bD(K*yD11N*RRJ?&Ck|
z3bN`NNYGX`PD|>e6}abUd%G1S=I?Pi1~8~Q8Dhd;F@>@@zo~GazVhywf6mwQz%&C1
zuK&;~yK%9y<!a{<Y||eqnVNIa$CpXY_|!U`Gh>6&pQ!qnfdwG9PTKDK%vu%N$yomV
z+U3>oVXo$4XGy{l;lso7X-x*YG5}b#X#%8^`d?)H>znR13cbCv@(rTjVvrw_zjvk`
z|5{4d)>gGVGS9+fAE!xQH1#gKQ-pl7Wz|NmhdlOZH*~+^+}0V+a#>VPQo+w8fc9Hn
zTU{wq7doh#c3hTu_38|xUJ8nl98TSwyi<`qDFiPRol)pyO56PtG@y0xe%VUD6O1{Z
z$I`s3>Rda^hildWR-T8!^TBFCUsVV)SOYCe#dEnUxBluq^BUti<^9O@{mw3nXWp<h
z{wvi6foBr^GnJMM+!{IaBMoWq#KcqxIPu(-0KSz?_m&GW|4jg<@usNys<@L35$*0x
zO5OjmZJJwf_{eI~$wCfm^m(S*>E@u;J`Tsxa)<x{?Mh8?6`XVJ+M_fMMLN5Cu@e(^
zC!T~FDA%@w6tpVbS8~s5B%MY=Y-&wf{%CF-@BFggoUb=mhhwmoLcSh5PMA@JD|6cB
z`Zb~YfH1LNu^mhuvkXv=B_nRA^=gCX0}a3N6KPDvc{_N?*~59XvEv0vKQ88vl>~-t
zFI``Uxy7@S=kt;?qHJz$VESB5qv?7#Vvb(s^Ua?WemUJ(I9@8^M^VQtQTepbn*C=M
zao=_9L)mk_!KU-BQpcO|tj06}eG0qy^^hN1^mQX4Lfe9iA7QVg9pHOJ_0uNgu`<9!
zduv6=B7clupFU3-yHj7CT5xE8!yGI04&t#;t+5ZdV$Zd)rEb2uKgS8Qbpq<DmFYY$
z_GbpDB5LPaGDV<t(i=~{w4eA6ZnC$+s+`FXr=yXjK-3MzF<$bRPPfWBX1;6kwJ_0@
zr{0(_=G9*Z+SEeJW4fJ<HtPGcBm<?YE>qTi#B5ITD;_#V)uci3R$6Wfp@IIUn1%e*
z$Npvq@1wV3cxltf#_GdL?U?0EN8?vA;l}rC#|_RY_VKCil(*=!IIlEgk*AO2hTR=E
zR*cN%%eh-W&vgeb+}ZfNWR?$yu5>VCrvMnNkvFR_=i{=d^$r@FH74SSQ5dk4t#$1g
zD34JL0h2jn5>rL?20<r_ksdYb_b(gs<{aG_e*fHg{4AySuB1Np>E)<~40;kShzliX
z_w{^rw6PaTX<5NfX;Rr$bPjEq>KufVrthBU#K<s44uX%MANx^Oi&EB@{aO#ql<M7{
zz;j`lQ@F)nALYLwcweuy__XK0qncU&H+pu$J)gigGxe^qvKL=Pykw@i_r4OVzAu9^
zb4zaiEJTyDidH#oIF@IHTAkG5O{!`(nf+HKhFDHIeH#XBzpj8S2T{j3;pl?xc|oUt
zW}3>(M;~TDKW7po0-u`>*%2U*Df~OKk9glI<qF-Ce>*1Twbplc^KZ_B@_e^LCG@LE
z`OP=UuVWnogv{SqVR{k<{+iC{>Sb<BmPzWb{EbDS7^DQ75JAo)&y8PSihm%Vu93N%
zl}@r6@;VL(he1D<_Za)yk9(w*-|w4tN5)^&*3LRD@YJx>E|!9Fs@f))ODntWw%49x
zy2tVhzvIf4UbbAUD&Jl7x4$HeUYa-G`Sl*u8mC9@=x7UTT#0xG^%+J~V`N$+EH<Yr
z%$E-M7<ZouxiN~aB{FKT_#;=6yuHzL1wvx0WL;@_Z#|H;wUm!go8nK5ze>69TI$Bh
zey-3HnqQNl3M>HfDa5m<X+BJDC`<>u<dcyY!4lh8GQYX;SPw1G-d7?Z2wcKk)Xs6W
zaG&v+&iGQaM>`-v!el5qMXI%g!B<xHEB7~``#Nzx3<?w5o_8ML`NiN&t}Fv;^1BIV
zv+CtDsFv9&_)wZ7=&I>ty>Dx2c2*zNCFFlBwA}?m|2Lg0631g&-eUY{!(6r)tTvuv
zPorFh-X(J?6eL2P%jr3{M99-T2#9IgXvL>&5ZO@q3thiTePi$`>wE_J1^Wu`x@6ew
zH&xXP^7msc%qA%hN}7m6tqE}*xUCCSbg08ztK_}*rmQ)i3*KAuEZFZ}-{yuAUEMkX
zFNOFYb2flV#*3Z@a|GbPAZ~olOh3uTzDyswT{XngbZAsp(^?JZ(BY$qq^I6x-BP#+
z)ah`!q(yH$B8AmvNfAN-88gD-%W9o|-*okRo^<Y)?kqMO$&=H|4jpXi7CHfWl9()z
zH?M>-vt2@MULRB+cI*EdTyUn`FKXO_?B_<IA=|~vaYx$%K{+4cTEd7S?|%}UZ;1(f
z1CCggR#}9b?OGlV;U0KDgI$ehX9oLuMyrz{_MH4zX@PNFSgQu~dOSZ@D_wf${1}`C
z0Y}F5FGjotZEin8Kzm?L?b0OACl4LB9_)_SkqFnpFJ||0CadjiXYF|O=Egw#a8keL
z;|u4ozcWuzagv)~e~fr2A|h{xrbWbfWC-{C0f``|;ImA~s!6MX_}jh8tOH*2#rw-s
zYXn`AoOoz5T)S0!AHdw+x9FkVcOF#SpuN|luM91E(6rLbaz&rzIpDk1l}myfgQXw7
z%O+C7*|Y0RNrPM&)?w^qZ{{ZpHXN|$Xg=o3XM-}0i<R#AYUSAdCgU2Z<DPOzxqgG&
zPWLj6*6rB9h`@3%BjqN7VsiqAt=>L%X5PA;eAe15U}@nAO^*t}wGf^LfFk)AAW)B=
z3ZO&Up2uKRwgzP!k37@k`Zv@v1d$-;PO7GH3EVXx%{U{$(}m;<AvXw76H^%%kXZA3
zu-eJf+2q9;Glo5|wDF#IVEkcm3}E!d^41W5R8nQ}?6RJ63di4*XCKlDPO<wm#;wlj
zER1|d24@_PKOfCT@uTi9Q+|I>>mEa*9oH(km30cg|3mH}jW+W0@e^gOdhDxi9`i)8
zQzHlC{<jaY=!=E&I<u}QR$(ikzG>hLSoWXSvqH;XZV(w^jSjFlon3dTXF!;C9pB3Z
zkJ@tn-_Cy`TICgSJP^kevz;Uz{7x+ef+hIOpyh$EUbWHjZ5A`6bu=zU-r&`{r3iU<
z683nTp16f&!H;M(B^MPW<pM$q0*#D^PxM0jle43Q1UyYYx$CO{iYi_NCN$E%Ys^a{
z)q9tdCQH?_U-u^c++qqZAx_)J=S$-#@bzdM{gU@y=|X=#ozHCvp-we|19oEPE2OrI
zaJo<3M4ZXNt)4}4bU429l6mPH4Xo{m7CFrb1QOcKVHmtiKYz-_A0Lyijv*eomQ1?b
zX{=cmO5n&&E?$oVo$?PgIc|E~``RYkO-ofoj#~yx;n!iinE44Kb@(;Wf_)xk445E2
zV7Q--h8v@5=NuYW_sZcd8umrq@2CQCV{!0($>-f&30W3J)>Dn{l`9+Nd>+aI9th$G
z-9#LTc1Y_+8pPjQ2SY&f6Y^^Wn@n&nW_;4r3TQltTOgKK0m!y-56KW2MH{O`6^Mgd
zk~z6$IgHs+`8->3+MH%vi#r9@=1XYIxv1@;H=tz@&~<u=qbHyYBvUEu!d62pfZ<GJ
zV3@sEd7ps$(*~P<<(Mn800`-I0ypqE$p?&o-me&k5m49r7tv#r$c6t3dBHdEejtvs
z4o|R9D-`@{<Y9~Q6TzJ*s#b5ti>*w@7RSF|&t0bErYtH;pegU|>lQD>0blJ^*I`)?
zx2{&@cA(pt`_}Vf#%gI)O$gcDxP+PyWB#X_rB*O3Hil$F)ivBcrq@&^CQTjT;1UJ(
zWi8>wrD}_MP3(iUpu1s-&Se^SR4Y0ltT+Hwyhpm2pib<6@c845)1}e#ppiY;8%vFS
zxL-BK9(zQJ*^6T}@Li4MX(5E*iix}c{<slmfQs89Zo-o8g!}^R_kyy)7`;P88Ou=H
zNeMDSJ#AVg2>6Zc3d^G^paq}pkvznUg-bA5M!QKz+NrO8HhSr%cJ`Mi7JUf|k^lZ|
zR4|njFA4|$-^M^1=reK!rn*#pX<Ji21+Mz*o5uaS%VBm&YOhSocRMe9=!=4X)qgz9
zcRb&@?f5i;^RX=!4f#T5n=ywq%N`s!-r0j!K;SSTaT?EY-ua=Ezi5w5nx|9qrP&%Z
zmf_8AY@<RxJ2e;WCVc2`C$BSvtw1-yvM=ws>5rd9djXNkbXwM9$!{>#z<$T^S0B^e
zDcb&XU8rIC4`}^sh>V*Ry1bT+jXyCuv9r5r-t38N2NZBdx%D02Yr4O#;uA&U78pPP
zjQjeGe4ovlj91pGM~o63Fcx-Rt``UPOj&%!_1TXFE?Jj*tp&2{oirN0<0z7s_mnJx
z5=)jUyqBRCS=Cz`c|v=*SSwVansgoVwq~UXPRL4<ZO!;iBzM*ULKmHRSb004XQTxB
z_Np*fc1^HGh66_=Vx`N#p?*WtgbDjvtaYFFmjNLjGVvhOG8eNe?Wm|^@Mot%e$l?k
zZrJ}PcMErARMNdy00Dv<ha+~N2EOXk;0_EvRhdA7-fY4aG`fE{s$0xe=gh|>OR_ko
z(p;CJfq_Lk^0<q+ta0VT_A}}O5prPyr^UIgp==*ap<Igbc%S!}`;69}&;T(a+WzC5
z?Zz-WxDk7o(t|2tLrVywh>%!vf7x1VAMp5Rk%LmMC~)I}j7PT|KJ5%rRT48B*9f%`
z!$r>?ya%3Pe0VFc?(4jIvv}E}?)zp7L+nb#K%y{Wyt*ZY-IK3h4mnLbx{Hit(TDl}
zJzGuuI8eaJ9_hh)s_qT8>!@EmOM^EpS5rL*+w<P<IOh=?RYYldoE%6$T_nQyDSCoc
z2qvNvYCao-<83LRovxHpIPn$~191I6<?puRXjKgbbcpfyNFx`dg`C}#OxPc^vU_g+
zO{c7`tu4fRa4OW=O^h%#(50|>JwWfq6-ReREgJ>l1E+YLeDCW5HWChPwri=Z&2|e(
zmQfVlYvopljYo3++0Q3(=f(Gg67n#B#J&IPp0`VO_5P?ieS_$&Y>&k^W{VnWTH3{d
zK*7wf>dorQK@3XvguIU8H5hVu=)&02fPW)UF#B?7L1etQ0{9#=fXkTP5N-5h$ok~^
zkG-j^KvMa{W6HVqKYLK}D=9mxKO&M>bJnLCQNO|A%Cil2kf4f=v9%<Tfjgz49LDsv
zTiLd$r9<<xFYWxsFl_*6cbNv%e#Ez<*<CcH)xayy<kqXla%~+pgXT7+4j7?u@ytyb
z@y6f4tj)n?+BAI73veOye+F!_lvh_(2?!{%WoDA$Zi!>o!hw8?eCc|!Hmp>?`q2*s
zNI5)b9Xp@3b%)u$ifR(+%9q{oS_1)@7=0&ky`2w64oM#&R1fCba#F)&%q2NTl1QAk
ztfxbyk=X8(OZ_Xn2DP|s1(BZx&#(W{0x1!$M=_KBWpZn?u5%_%#Y&<3Vw0D>Vi=iC
zXz-^F)`7_%s%bUkY%+EBS0@Vg!9<UHtnN8zR@JN){!Oo~E?vdG5B^Y7RaNuYK&<E^
zVtFz)HdaicriS9IwnYEMiP%(ki^8_;N3iFq*Naqxcb3vUeV!N9)fLU5zWTZh*Rju;
ze|{mJbt`+G7t`s9lf+Q*d?_d})Qq^BlydE%<c8Df9miOORo%&t>LG@`A}V>p5%&9v
zWRp?CcK7aAf1A|b=cV`*8p6t=xG>AB{BFzIo>hBam(Yff*uwh!REy!C0WnAWT9f`(
zY;cI&oepZbrhu-lUxvl2xoSUIPU%}=uNgw<T+)NTF-TibfMcJfQ_>`atFs_1wALXM
zSO|JoC-ew*?$-s<72QdHbOe3b>T^opvd8POZo(}I*Z&KC#ISQWs>HV12c<#=dWQr)
zG98J-y0zH0<Sj*PN;^MW1~u+9f~a=Ud+&S+J>*f-jKx}tp|1CSo`aoNJKN{ITyK=H
zN$OHIhm2NP6%XxfoV5hM@wzGH<^W!&r}J<TP_5LJFh#|mbp_T;{RW|O3h%MO4B5;o
ze9^X1O2v_uolpkjx=VnTKn)IxFQI}iE;wrO$rfjIV>R?x_Cnz&tuVcy(<w&CUNq{-
z7I$lT#yRMiC)OGL-VBOVeQ~S-ZE&VSbsr)Tvm6E7&vCZwNc=yZhXZ<6Uy*a28f5e5
zV2AlSPKV92KFkxp>$5axbrg&*)0*$ay9apZFMv8INsWZ!Rgi`h_hZ}Et=Wguq}KgJ
zzfg$>CAbXBLV%uYv#MbIdN=Fm>Aa@_#5r!LRaB)yemU{<XBwz%oWgG=Kowx^+SdAJ
z4m%Fpj6=$VFRv?#jFcbAP0>`YuvB+!K@Yz>LZw~DyHUv23%EJ3U@{#m)YfnOZ{TM5
zR+5){Xm~qE;>dX@LVlb*K&YdI$kct!71zgwnA7R)$7`8VN=^5_S-5V*uvj+7J*jj@
zG<zy(j?)=i8cU&2oo!>!yV=*y8pD}qH_ka4z-p7YPwZYf<H3<C1ZCztv@bc_UTzmm
z`9`Kd891JhI7)Td8x<=dBadu%L!3;cMepv#xHS}5Zs1#W)-w5bbF+j2U_Zg3aUUj|
z10_99yymC?LZr!VuvV(yvh~4X?4Pkw-9fLPE8J(Za&P_nJ_8<sNf-03!^>()6lucC
z$}@-x8B&?Cx;Za|+p|?z#;sUSqx<^Q`#L%M7{dC(%9=+9;4*k?nQax^JXW$MLIusH
z5`W_F>-5@eSCznt0@<96_P?lvJ!S%%1~qym!LeQEuo7&wGgZ~>Z&PZBCwxp5V-*L~
z7cCZjiKKq@4xC33@-U8Nd|x=}20_vEdb8<l7^HwasyEK~Z^i^1*0vSqGx1(W&B*V3
zLW@DU0PKq1CW?1K&d5#feSrdJ7Pl8?n|pO|#IFMVf&4qJaXgwGx6&aL(ep2w1m~24
zKkczJ0*bwaE-`}rgDx+<d^kJ%QQKOl<>1l2BfU+XQ}ZB~>o}%oza-2$N#a;{n(QwS
znA){i=`#H~rxnX(MlE1G4V0Q#$cQePkehBxR`b}<<P+win2x5bN(eX6CHQJbW4K%V
zoQ7w^Nd%o&XY$C4)bbVNCCp$bc5re4Sh?Z3zXdUL|Fh|Qh^p^h%`R0zxo1lo$~ZWq
zrxq}jIbx-rH9Y4H|EmRX2`q(DpoVdgRhOz;v+}QT*Q#$b*KQB^&BE&TXuj5-%yIb+
zj$9eG^(ceVsU=Xn<Nh|!G@-xPS-q*`o@3?t9rRJnoP&WcAUX=3mLK4cqNdvRB6!;B
zp&k{sLEbw%=JgZ5(*J(VmyNVnH%Do9jPq-0r$b}QIYR;vXqII7#}UUW3ZAk1mYNsl
z?Oygxn<=Ze5*k{N_$~eDJt2~@EThnxX|9XffwD&W^19Wi_g$;M9NR!$Le%Xu6a1s_
zwaS@h0E^h8Qt_3mV6>7R#g4^=faYK$^!wQFeWzewZL71{Cf!}Xn>n}f!6=~?<Z9Wu
zKEHDgur>N%`Dpp3aWrowG>j#=D?Zq}f4RCD-oi}-FY`hH3kOfs%UlJ1ld$+LlNn_$
z3GaS^wvT&0i9=P^DWMjwBld=8RQyno&)GK3Ef=*w5l;_yJ?ZPx18mjB34WlSJNWt%
z%TFZ+EWDH{_Ctiin-Ck>pXWyji}Q}i`swze@f=ohMMqb|TM0c=vrNHYxZ8lxk|t*H
z0*>SmY+7-=kgG09kl^MVaU(IQfZHisdKt5mbcs^%&y#fg85`UQA6|wZcQYHPe-&<9
zxwp%b`W`Eg`bxI*U5_4Y0}y1C*3pbZB~`N=^U&9b3B&<E*EMpOznZntme2MP3F?n7
z_xYG)$?%CjV##(`Hu{MrYLk`VCq(|Y{$}`Hj*oBHaF?GFz>FLk56UlDyw(%CRyxk3
zbE}u*UTHB9&bX%k^Vvj+Gec3H=FWai%1JKFVyTx;G05}n)wMXV|5pe}1uz>a2fVwV
zY<=8LC0(pMx9F%;@uW6?L#Dlj`&dlMP{L`*Kj}9WSy$YL$G^0pyv9W11gd!n(uEt=
zrLv4PSNz;YrEoxuHQO$y<VPJQKn+|8&r=MeFJu)hjhMQSy8}CiA;~(tV*5C7WROt<
zj}IHMEsQ+=r=6?c`;rEbJ0lL%nLBZqOQ1Wnj~ARX3IZz|vw;158JfJ<c88&?O*30S
zqkCECCD75@hLa#D<f=|RK<%xsW{n_Y4&9bs+ayUY(8gfs>7Y0)&-3eIDvy*;Q$YH1
zm$dgqMGZUU&bhkDg<0QVjO4E_@CoJbElCn5jo)s_Z$hiEZr(;Qn!k1n25crTSr&N8
zz_kU}BN&wuxo;BZ%RhaMu|%kI=YDzei@Zw`-_P}HHFIT{>nZp<-y@%;y{Vt2Q-O9^
zU`^;zj^}D5A85zfxuv3TAGY){Q`poDhJ^U9TpmHOH+{OyZ-szT2dsnxx5#uQ24&U~
zyl9BL8D#1{9H4e1%53_VMBV~MkI=ES77dCm$v6i%jBlnzR&bpqje?ycOr3I;&C#hh
zUKTBYmfR3?YD`?Up2I<g3TD9w%TZ=J<5VLyP%68s!5q0)&NB&uXZdVi4mSZ>e@9ye
zo|Aj!f#heOx~%^0&$v=HZhwo;!R%YfX&Jf>R#QXlZ*=1+EpFBza|s2&+&A6hA_bfN
z)JD_E-+LGXWD~|sfO4Wg33?^!w&(JM!08;LiR2M3+9Dssu;`V6zYnI~0HlnkZET|t
z%p_@|_Oziz@1@OhlR(6!u7QC!=5QI7%5$P2*iB|TU?jgY{KAET6BG6#BBlC$QqTF6
z^<G@L-#j4ml?p8N&1_-UK-g(I+#ze<j1$#{<jfN=`fR+>SY~bYE<y%<q9!)ed1O8h
zXClX*<zzTQnm3?MNt6gWaDc{K{Z`IR&*Y?7TUjlVnLg=Boa#9}mcz5;;1W<oB^-hC
zO@S}2fzjy|iFE*E#xmQdHo>Ek5ik~--Yr3B?b$hAD;3rbip`Y-ab8bF+p+5^V=WZ>
z%mxOztt*dB4bojcWsOcF$uJ2}Ou^4gzfRbmo?MN8$>J-vDadaJGM<j|zJqeVw?59{
zalYRrfE<Mxir#~O&Ji6?z;)K6-$W45;%Bdy6(zG|%r|9D{}NLr`&~&dNnUl|&MCXx
zrwpd9-dEpjV;@~Y4=FH{^CgkT0Qw`ik!I2y=VaR~z7KWTRrjA=^iIU))+lrVT58DJ
zm_L(Vf@Ys62#B7Ae+^9j%@vmSqC%)De~2^RldtZLa_+*fGm_oA5;cmS2K_w&!a>Yu
zdnJ6mzeNg7cfW&*nL?Q3ImN_NYn!hlR%_ooMwKxXBptEK$wp8rC{sacejVl;+I<uH
zp~UcA-DQps@=9WIu*ZI3S>4k#>C#?P0)t%BSr&<!VOGnMaGXaTW83+qmRRI`k(|2A
zX1=K_m3V^Ck9l;k=eXiZAKGx{>}Yb=DwXy=e$)6^PYyavKp}b>!`x`4!pzI4PPc|Z
zXkh$bBJQy`@9YZ8l=hmfvN;%*LA$N=S>*^eHAdJyi<JJY*VWVD8Y4FTpbUGm2O4gp
zc`2#G>%rbDOAD8}*#v0#IK3LO!VfqF#qNY@q}T2jaL*kTT#u8xbqdzfAIlMt`cEHM
zA|Av_Y%c&KEBtHd9SJAa+vq}l%g$HCdwI+<C(uSs-|@t6t^eqn*wV&at=|xTynFzn
zTh!Pg-kG&6UudL9lhgDC;*0A9_LwT!mGTN--MQlqNbE9<*puF-lF=6`Ny1>QJS^~0
zS=||yI~DjpY<+h))&KiHLMRj=WF^^DX10Wom9jZTR#x_QY{^Pi*?V)cXO1m<h3q|#
zdCYU1@q2mqet*9I{I1KTKf11ZzFyDg>weyk$Njh;_kMW$MZp29Zp;Irl7NfvG)D?w
zJ7#kgX{HQq%RA@*zsV_Gzn7-9rk%Is!by2=GfL!*3Kx}+mdL(0wdgJB_-rw7Yaoe_
zcR4X5H1rk?)uP^|`$~EJB3BFMP=o{mMe46yPjFiSM(kuyBqZQ(>2GOHj^-l7T#Bgs
zom*0a;Jqj0^YCG5JpC6RG*-IbpvobuI*tu1VfE*L@4{hA^QBSyNPIvQ`*APm9!bMD
zp5-x?{tf<d?-Xe#0MzYZBlz=9JlNcE$+%wzczz-h<i>kafOw*v!b55(r9WL&GhyD;
z`gI=3!_Lr;-k?QsimQ61ArrRkJ#{lT)UZ5$bXvp7-Qor!8P?=m!mUXLnHzCnKI6M!
z1N9`UX@fe((NNogsq~F0D=$N^6FStky*%C;Yzh43KCc1!w)4^HRpgnTaWJ~k>Zrae
ztvH0ae&ZU5JFFMQ`Bh<6zdgZ)hTSrJu`qb3>)@9(odvBJ62vS4wG*a5jNF@mF6Eb5
zGXVK3MgFXiR8)}q^t;ROrZAu2o!lLAT&deF_Gdy<MM~iAunUa9A3{$$e>N`$z;GhM
zrwd4Pt-*TOul0}L2##U%&gD9}Q|T>dD{ynh1mm$A^oL*S0tOp*0Qe)}3vlV@K6?6!
zk>uVAU<oqq^(#1wF62adw<wor@Izx(SI;LI0p@_x3$HKL6Q%DRM_W?dak=M?3blxH
z;1xfv<N~n3Wa`_6t+m^ZqM;tU@xq;aL{iUEKcq~Jy$b|ClX`BYWUvmg6<Ix;erX6^
ztoM422V%D$!$>F?A+Y$J+h7VF3h=}$Ot_EG_~w^tJ8yU&`^Ah&C+XEX3L@=}&hg!;
zC*LENc0f@4(97j{Qfc1CI*Jc5c4pyGqf(YSu2h<`nf!XHC&}ylsr%wZ7OR(QtikTL
z$5Iu#m1eIz&ZZmsWHh35Dfe{0Jbv)t7jfw7FK-XvJxO{K3Twt*s?1w_={mDgpx##>
zlp{Mk!j54DgRyZF_MlH{)G`{gcGW`_(6#e9kCp1<*Ur<WL1-xB7B-)NpX!Jvq+{9L
zpY)}c<1us<KF|wnZmY}Pb%;faIpbZTyVj>TOkwGwEOasU&ZzzHJjFRgD7(_$4|4iH
zQL%zfU;V!vMI%iYCNtOKZ!rQbxproK|2bc03MgXg?lTPE#Wr9D*B{j@*Fd+yggICt
z>>saIAVI_KS2Q2YlC`%Y$y1`glZo)wmxn@WyAQngq%Uo~O{0aT+LG%RC<S_&X)Zy4
zeZTEK&<A=#!*7hr7{2@Y=MA8Lmi&lUSZ9PV_-QJ!iiDGy*1>Qlel{NkmG|Pp#f{^x
zSQt#5y+s=xEbYtjfRVkNf-BaF$Q-Zejsiy4OsEV<p(+HxQLquY_80%GtqSYb^W~U?
zlkzz6S_gXxTw;Fl`#}C72P|&iqY67cfCVJqu+Vds{ZPR2OLB&v<vY=0CkhKshTdKR
zysI*=Ga`1+CxA2%2cJ%|?eI%mTwzI6#8vY-ZuETK&7U4o!?XEnP5xiB4eV>#-sUnQ
zeGK#N7~|}KlzuC11XCk?PEmB_?q~$<LyYcwCp4P~a}N3}3>$mC<?C|;$;7VreF5sK
z-eIem`Ew)5;PEo4%fQR@_2ry^@uz2ESU|xhy!6oMe(h#T70siv#Ne&?yY2NV*}_<l
z5y^|1Yf$0>@<&*ph*=9h1w0%b#r0RbnK2qC&lD23NcR@E*|tBW(D|SZkC&JZ?}X1C
z`7(2OZoBvV+#M4T3AG(`?nWjzsN5`B*>pxMYN!Lq>co|RbCutu>#Xp}%PYzUIoS3W
z_qQ=RKi|I-KL?-^=n`;#lW-XMd9J_hkj?JHy2;&W>sTqvfEvk>zqKK9@AB%F#Tt39
z;=8p<DGYWcoRJSO`r%VwR{SINZID6b2JQ9zaGasnNU<5%^U#u6JN{3I6je514ybHn
z=QO*5eLXhf&#0N4ttz5f4F-hfH>jM<*2=}_pOnwo8y{Nw^5l#*ov$3Qq~@2l0?w8H
zoW}ESidU3^^Esa|;npv)26UeWxQe#}6fKN@!uz><{g4xx{)sm_(9pt*On?NVTJ*ZI
zM`R0~oc`>_+MvF|0iI2Q(vf+-{9)EZO{hZFnB2m8KZ8$}L+~XfwR%M4l#n^OKG4!M
zq!d3VkY`47!!(uEw&^yFbZH&Btxo-Sj&vg1XLs87x``%qcmxmgVNyVX^Ecp)VT*#J
zG1K<Y8A-_*u*A!lsvNr^p=n>(ZYgAO`>2yVa{#vvTRlI4v6_KzgieEeegd`%u=w=6
z#Z_s?#g+~=@%_{3UPd1~&>F)@V1!KW%}a`UA91U8oxx3`V10EYPf%Al64S12^Lj$a
z#y)w$y|LrQn_7&sI!kV&>28W1K?|cZwQskzk=%M_JH<P_4`hX3&uES>>UQF)g*NDP
zyWwz^7y{5!{pmZ?nTlgHIB~tA71B2&1A?4uq@ltc1Zx9$n%(Cfqp~+cSZfVq&$g_%
z(p$e$&l4H=9(U6?3IkbMFY4{8m^TImF>I^?obQ4FQhY5i_j$#l9@vvQGZtnj?y@=9
z$=%L5{u1At0T=bFyV^wAWxZC?d8RwxVL!<hI{s<~eS|;oqx|<b%#obVX!FtbwT*Sl
z4PUMaP><+qiuv*T7IU@6*S>Kk496p7b3hPE`mT62U_d?w49j`M!w&04zi?;2%8V+F
z$F{>bBd3jB?Bk%KrSRX$(5vjy=qDca6pK_#{^LsQ3&BcnhsAarPuxPWT@jQFQa=a4
zkNo#BK+A?G8B(qb$Z$zRaH6hkKCK0_aHa-s+69?{%|7l#2hk9t+1kR#>g=nBgiBxi
zET8|5QONcBVIx+UeA?Xl)xEn$B6b`n|GgTRkrf=PN<4fQ++Kj6+<^I{QUfh>RNvjG
zBt}JFW@Q;y4Fg%BC3xwwM})DPQSff2q~%Bz4wQTD_E7~6m}Xf$<iUd47ne~ztMoIg
z`APDi{jB-UEhgzMf>vB8$!YlbLJT;JlwSK9Td0L%o<v?RItW;FUqbG|HDPZiv7<VQ
zyiy4mnQ%pHBxjDzESOBt=A{$j@2N{|hRiSAhm}%dh%>)f>BgX_azB9^{O!}(VZG&)
z^?X`2>3@K0($K~9c?Glq)4-U6&bRBInQ>@7&~E{F2=eNHyNJ4ZEv*{2DrsP?ZQf-n
zL1pFASi}f;Zg!S#&m(&u=5@20@i~@m-3nm=1LWtyH_17T-6kDJDqXZ`o~%8(8+gFn
zhQqYhJ?iVAv&7b3KuetFtj5$jx<NX-V80z>O)5Z5DE<Kmz!yz@1;FT;&-p8f>nsj7
zR`!2bAUA+dEXeDVe3x`PTLlz9a=ij{9rM%phmVhURhkyDFES~Un&HxiUL${231|#I
zil3*A-QUu3(sLTnTVWM@UKM)9Pe^$6?#=KT=nyCKg}|?COEUj4;UZo(MMiL9ZR-`N
zkr`TusIRT1I`#{RECx^{;GI)Q)YiZhj>F0Nde_o*dqngeDcLg*P>`49NSrkLd9lOU
zd;e<`9k*=eu{!`$Z|N5^H2dBzkS5MK9rKr7<NuM_CK9nPf5p9a()p9QjXzjN2P2Kl
z+(loDCNANt-I3CtmhT)DP|hyWNabj$ql^Ni`GzX5gm#@4+@{m7l^3V_uza*5P+GBR
z-Mr!bO`1tvY%9&BA`oN0p!jqcAS4L!s;x$p2rgHs_zF}Ba(3T#kTMtEUSmmbo*O0Y
zqqF6Ra@(%4nV=?qyvYG~E`*Mo2ImR%<#JDG1O6@GRYrgY<evqdN+&`BTaTcBbdscw
zyC`qEQs2pO98a66Zdz3N@CWS8)z;gzmX1m?aQu0eT3RmLVml*i?1&mz=;ODdJX;4N
zcM7poNb-kdKxqbvkJ}i07_8B3-r4qQplR8td6YoVBIqrlcJ(CfS%jKo_i41q;vZ+!
zCGoH(EtyxUq8iiDdT6ZSBd?ZfH~R3F)XN*eHFD7?R*Vx`{wf#r3DbMkQzLy~glz`Q
zu8#M)LGpJ*8%iZ_2~wUyRs*B-m=0kIlzX`8m%!)b_$Tr9!VVPhMvVnPyQZHRn37$M
zr*8QQ$FCBb@v(zgfcrUgp<Os8nkYdYrw7d;HhGj5e5Y_LU4Hq|GuL9L_JVfz3uQ=^
zZ))w0!xl;ZU!&{lF^r{AnAu^Og`)wdrl7*QD=+6Kk2B7Rcm8a`GGfOSFkLLGOw*Y&
zYBka)ET#^zPF~U!$b`1TKi|IaAv0%D{Qd;Bm%RWxc@N*e6u0v;g|)~!tC(b<w0|7c
z1dWeiTj5tg{n>^KE31xK8W_d*^R~jyee87Vo~j$?N1qd70TEH8I^I$?Rr>ZTKrq0L
zN4;!59JP`Ub63>cu}+|tupoUqcQq$)8TR~ktwm3Ma>nF1o)wF%TPsG%gy4a!Rm=?h
zEtt^9Y;UJ*WMK?)5BnPx2ko6$OKD_&V;C=VxbqOROS6i+g<`cgMyIWF`nc_{AU~he
z?33HR?@!?L%tQ-WnUd3*UMb~2?<r#frmkneMhGtZM%uNx-jceiOCi<|=pBB@eq7@|
zZu~Ypr>lOsbnPqkN2+K6Q5~Z5Yr6kzQ`&9!w^wc21s!vY+(SHKJb(@I#;;{28k)&^
zL$7OgpG{%;c0%mg;JC;6<0zzNge>M-@l$P}C958w($Lr}ey=!SPW%}mi9;GW-fl27
zQv`n4m92<Ei$ws7$sWUW>E!$B4wHsI^TC_eLO!>&GXIWnT_C-EH3y6U)LsC_EG@OQ
zK7HUlo$$o{HdB7P33kU0tGeCP!}JuVfd5=MKz#$K={BPk=<V?(y|E~Wh~-Z+c>dDj
z2DTWxw3ynar=8$|t*@WCptTH~p%K=Tm&X@k#zT^@<lIqRZEXSPd<ngyddf<;;nvB<
z2O*@ueqLuKvhLUn3o$)`1d*^5Rpa2{3AEkrd_q6rhlOqxdzb8{`8Zw}HLH7I)h-%q
zb<&aA>E0Pyg~QJa)6elmM<@vAUzz9<;S)%Un1r{pN<Z0JaR2HJR@u6lYg*j->Ru3K
zEeyawz9+YRyU8}fX^Bgr$QcvE_A(@MdI9OV?`%smAvlSNRtMVPyb|b=dL@mB2XEh?
z+Om7!i4nn%lxS{gZd+TrE@j=Y-CH8jd%8~NbDAhCvR)};btJ9<{vOp?cbIi^bh8b}
zPWDV%yqmy}kl6V~mx1%q!;i_}4q|pYA3&C|RZq)a%^J9ipBBUfdB3(7iLe+t4UvhV
z(phnS#|NA3S(U4sB*I`WpddE@W!Y;|i(NJ$BgIbwocsHGRVIog^OPEedowrUrLREV
zjBM^1V5fOCVD72Xfz<n6qf~oFWz5;xSt1tBkA+uW7y2N<<MVYQMa&St_v3a&a8-=(
zGt8Q*cg`~Zixks^taX0yaU`gw_fO7I5@Ol_3+N*g-JBipk=Uob52|6sg&Dh-0_2^u
z-+0Qt;XkpS=VebaFy{|WVfs_E7O7EIMNYlB7F#?0o@~nd{)4Lupn0C00T{hC=|vFs
zSn%P*6BC$o=J_#X)?un{#q&v4O8UlC>rw_r9a9;r2(a~Wp=+HdBNy?SQkVy>qp};<
z?H@}sb@p?(Uv64Yojd$;aquMfXMl?=jifar5$rT%f2iv&KEVd;Ckj+=9giNLyTh2y
zeuH;^7jHbTwi5p?Ify<4n3!$Fh3Vgl5tXm9l<;zvQ@=bF;6N0h-U(^RbJRBD`gGnm
z4hG#iJKvw9@jXdhYN6KI)^s{oc6*=7B^8qz`hA8BgJ{V~-N;3wLhmDP-Gb3uR$&px
zJg1Z}{^IX3Ud0RDebrG1{SrKbui;FRs1XU+;J(QG$Ij+#W_1V~%`D)Iz4hr~22=Aq
zymJb<<Xuk)etFN=wAu|eH3RV)vK5YfiOrPoa`wvf+vJ>H;ll>pAmfm}Tn<*O%LV$f
zDT<U$&|#!d8JTAv-&XhHPA468#j|h`@iBFE-wtMqDoJ`iCHeHex;G$u(KdGOV`FdG
zQFZjbVgW?=?SQ-$Lv@Cc3aM{NauqoD-@^<m32hdG)=)x+CHr(IW{CAnKXL8Ztv5b<
z0%sZ6JuoNqH>2L>h_u(G<4}sw1~6-&tOaOLW;1twEr*HO(0~`lqYp#*eX|FrKnNfe
zWsIn7rMGbNozq_wGkE`jeRc^dZzbEy{qz-Xs)%C-rbndp_~O&oQ=e*&I;{G)C)q6k
zTgkQI-iiWbJjvjT=B1xzcLZ;9i3Zk{cfwvt4va%8O}i2f_DIi2q(!0Y_a+2n4yBSz
zW1sqwNi{_l6~6yv;;VO5ylYf+tN`8OVzQAHC3-p2wRf#lZhD$KDrC{0aIm<z$mgqD
zN`FIrT3|$i^}xZ-NZfr-!$)16+<0|jvX<U*<Y3{$G|`a{2C)@v0AFbKfHd9x&Fg;K
z`e<+WAZ0Y)^avJ|$#}!J33=5lZ>@B`J55gR=IODz#MV1AIT<U+S0Q?}G2UHRU$d&c
z^avCw_~ePni#G!TU?p?YH;;F9=<aXt?#9{XW-yksi!#s3Ov@BE{|*-YI#syy^~oPC
zY1P6da;CQ9tlzIONB3onzlPu2I)QJ5ng4dqli;j>R7800Zq@HWod5g<B8P}$@=g6F
zzosFr=y@PT)lL#bO4*WVEJrBgQmOXGmG`R%QRObq<S`Ati90%JM6eEACE<lv{PJ$O
z8Qw(}AxiH(B>2cdtqDOV`n$veTzvXqak3M|X*afPb>)cReKNz7Bxmm?JW#T6&z-yz
zuYvYXP^?jmrl&4uRn1*D-JpNxfNMbf!(9)VnNP%4kdap<F;OZ%Jr8R)*}ZZwA9tGV
zed36E15i!MeqX6S<x#F#vl+I{uyC@Q@^6%KiiUoT0>6s9C;Ix^YLYI6o6PDjGC>Z5
ziO-y-)a2AmQX0FkRE-o#A9tJC-!?}RUj>H%aI4?6`k7l<$H?!U&BU7eD~c5!XiDt2
zszy+)Sn@irFrsn@^$chMjU8b-+Tn@*J`{!hdUl@+jHudR<H)Mdbn4M#k^-b62QM@K
zxGj2Z(Pqb_3aAL&%;1rni91iOG|dxfVZ!RAvEFPsVK{7nEwy6Kf}izHtYGQ^N$+^U
zP^z*@5)Y>&{HU|>gjjLB9sV>J<lQ|0avA`dhhY<B(x@X_fwO{Oe0?^6ZOddKkGtE)
zC#gUGWI=R)!N1P9<A+>cx8QD!SJWiAQEh+fj#2==!cAO`2S)GCKaK@Fsl2%SN%NTR
zem^Bjig@$=p4JcbPANdLv*%Jd(%Z^^p8rS3T>Ac%=AYP3f0A?QZj96(jVY9Zh63i;
zaNGlLUPK?jQHYZTU5T#CTMJ@QL&Xg1Yu_BqeJG|w>!mP-76s>HZ!uLC1O3-EBCyAV
zs>si~`=euQqH^hXIly5O(*-=RFHp{t-^S6<dD=GZPa@6BqL0&Dh8v}A-(g?D(q>C1
zr7ukxT5B37wl^efjIl}sulKXd=DkF%hSQ!&<si0*wiNL8Sp(wfN&It)*n=f4(^|e1
zF~;N`tt4)G8s|*3PMNAblEHfv5IALI_luyjgb91udx!$=+tQ_9bjCl5&0`(UKb!lB
z6%?L-197i`&l?of5r8Vg8gYZ^vaPnk$N8adY|)#{bD!tb{8}*U!#`ma41`;U$=iGJ
zNg`j}f7f1gGGUHl6-%&<9;fDb)dc8Xr+WAMY0&g|xHeOZ_L(1RUxr2OQ#?=AP4(*Z
zF)@pLy?y21MmDS!!yHO<>^#EDlLqFusY>PWfQ5##;K*C=0@dWJs_XJcX<?ePG8Vrj
zXRK#waA9&#K7fP1?+;_bw=RBC^}X+|n~pm!YglVe@NP}9g>Qg$FVM5utu8kvdGGZV
z$wXUU;BrF&qIp%107{BN-^R4$HQcSwX_bU)Kjd+_b;dA^u~L?jxowMpj~)V6cULUG
znI<<B@OUYTN|s?J4C-ZBU30IYq+G2hu!!Vidg;S<$Gg(;@i@d^WCrlF?)-AjM*ANH
zGqs#u`v*$)GI$tT(prReq|-ujDS~hG<q6cMkVavXhWmvkHrD!y&R<6K7Yfuz!Ytk#
z{3-2YQnA`d;iQpePy5(Waf`2EdEgr_n)OMlBwYgMgSEF_pr4Zi#~=5nUZLfhLb5a4
z`4fU-*Akkw7eI)99lq{rLE}EaXyp2c=t<+#@9>vum-intX23VHmmI-Yb2PDG{+#<=
z<!wMo&;KUbNIC2`nej}7{m0*)m`9_s-Gr$1t}mh#n@ckW%PA+LuLAI2nb=VTIFHu5
zYz<pnD-4HGK>qK4W>c6k3vnb-x+g9YCeG&cLn+O&2dpu~Wns+M<(!sAbll-otBBEU
z1-@3^>v3V=(}_&fIy+Fau3Kxjc*}8$FpgNuScUTD8is#`YJ;0|Sshd<MHMmrgkXo(
z!G{g<eLqp~0cl>QJCSZx<`;h5$P|b{0f=2pxg2TR8mLl-EjRwDpNOuptE`U)*TRqC
zpPwyucyR7QVi#D+>Vqga&JA2~NYjNR()qVOyU?qi`tF=Kd$Xmwtm?3`w!PNPzbF-t
zQ0FH80_<Gd(VaE};|xV5as&hUZb{CQTh+BUSGY?RvB>F*mV-qfupdei=>PRL>Fha=
z#mX9ss@x%O2MLxudL0_pkeV!g1(|_{2%V-L-OV02E*WEDbo;G|{Rt@S?C~NcrvdzS
z6mV$5*)b}tNCqXGdi|1!L&&*9cYc^yrGqJQXyT63Jqx+HY*^Arrj#Et3Ah?h)|%b>
zZta%Q*_S}qX|gP?m=01Bw9EDNI=pf>W@9`5G{TQ9o5y_?Pcl5DfT_6xnpkOqn->mZ
z;y5XxEE?7XOzDb?yJ17<5?)%KuBB6-6XA)k#dDd=!xbzj7F-HuTnY{xTn-{QUsqw}
z(!s@u*<SLBcmKgcGYtmdk|pjRuK9DGn+w~`Usgra3%^d#xm>YL<&DCAy9!6$>7&Sx
z+{qj3ouTkhYs-UMwReQ(Q*mp{?C77_4p#VM+k|ZW>zs#DmRc{n`7t*>dr_awM?yY#
zifszp^Ax`$i*?aSgq|ITyBk>R=B%&b@ON}>jHLM^cR=0_SLc5+@2t9#DR$44i=9m_
zO-emG;_!RCK`~6Q??Nth6p%FMfT`{8Md%?@p@>wGW!Nu~4vhZJoVGwp_unV)iBtBm
z--FS9hU+%oCZyPV(|1J5&k%UBAQ+!OcKztgfp~Y1K2NxaKKh=KAlVX5PZIj8ob%h$
zL~@?}i_5iGe(>pW?}gu9oTB!1S6OMse9cZ9d#1Pd%!EM(pJes^_whQby2K;4!*M{?
zt@HKbbF=Duc`n^SopnVWo7FDjd`_*xqyp7c?GE~v%GX+fq3;4d69Cp=0!*4Sqi<33
zTspQ;yDk9C2^b2baSqo?qbVS<Kak<`K~-Kk_k?Qpu*=lsoDD3sBgB;$`C8L(_@DGs
z0?nEOx|X#B<no}_4Vy-724!p!1f#!Eld8>fjFWJ+!L6OZ=)Ej^YBOCLUW$q}{@7l6
z%$qj%QLPmZy{J}!SO5D`tmXyxWd-MGGy0wH?1-C$tQ9$0vT@vFf|##s=tn~WJn|%l
z{_l6e!G<IM!tz!<0?qObUZ&kmm@n5#&)!@{CG5kWfHt0|-R`U(^gd$A_itf%kK@!C
z!$#w*D4WFaspFxAEO@f{_7CS$g{*-k+vFeF>yU^K&B3d1muIv27eRgreIFzwFozd_
z_$)~${j!Aq=**y8TL_(-jl4A|cFOd<9n|D%LkxPtcSindy1X1)(~JUqyj&E`8;2J}
z!;M2uy2`bjqx(S=MXET}0=9R#Bq#Up-_2_luV19QWx5*sJ$boKkPhUKi@5c{`qIMd
z<IR=%>wxypk3KU_w?j_L<7#6>WKK|8&r72prBDMn1qvlsSFJDFVyccz1&WBeUIF^M
zTB_JlZ*M}mN$F^Au|W+a`N8AFiE#h$YLqm3Ld5YU;IO{ernkKPh?%6-RbyJo<%aCD
zS0V9j<kWKAOFsfhFxz`~B|iK;cMtF0Apo%t?Iu8}l<gIgtk`!Ha)bEoPXJ<_sR?M6
z`IwCdF>%bp3~fu_qT%6CPZ8uyNKWECS4+Y+P5(TI;5Dd=D!KLS32n8(7|1101d~^|
zyQ7&;`~K(qKY}@@CNv<qRdqUnN7<qOKIp3~8@w+q2Owwbw-`d=3hH^g5pU}xRi+st
zHbcO=?5D_r>%^`cx%fTDC}%2?$$kc{BOR4GOwM?bey((5$Vcr7FyqqcOB;YY$uIT{
z>!OnM-2l2N-A+K@9vC>5O*|BV{K!^&yru=j9Dy4*rev$xW$l>#K23?sSzWLPlL|V2
z4tdfgU-5tMe)fgTqq5|2xxOV53!&uU@a9P|?~hcRv(CR5hVgAzMNp^1nSA2N?c}}N
zb{YlcfwA4>Z@{F=Z?1}x>XI-gf{dr#SGy_#1tVW5%;#>)Aw;n2n>+03uH&7a%YKy%
z>_c(?gaLB9S4&-CR-LAkt>yaSExwA=^xliv=|<>y%8m|S#uS5WTVBOq(f__Dg<H6B
zV|S+9et{y^y6YinHmAco9X}SW-j<xroOkdb&96IYl2BuS6JAX*AL%5N0Ij&l92)-X
z_`L9W4!S{{+u1Yv$gv8Q38b}MfY1uV($eqlmPBOKsg$){;*e&msOYlQY#42JVihUy
z2*1_L`q9p?gG+E|eW_Im>gtu?|ITI#3y#r)l9%al9g>eO{c2*VWffm`G(E#Ph91nn
zDr~pa&TQH(Db;Q{0RJRglKUYR$!O*d4)IEVJO!E&BZ}UU9<c{kgg_LMkCb&TNWN-V
zZVf;I6VoO@bos{(F46I-9(RDB8CSyO#Qaoo=iFiYOStEo`WQ+~_5<Q-&&k*Ght<BP
zfmwJ{z|@HA{0sQWjlfA7KQCYUQQ?4yY$ClY5_T1CR~Y-4u{MS(tsu>9N)KwAhoSW=
zBtRF|Lm(}OIr70S_3lb;#c!8BRQd9};{wD6X#UdfP|R8aj#N8JPMkK)Im54Gv7<|H
zgF)xl@Byfv4TC7`DPE49AnX2coloHq*CgWHn>O}Ref+Fjss=UbX&e#dEY5XC;eau2
z&zzdN!Pq|7_F=Vo5i#5>@1zdnJa?@}re?a-7hp|P{b|XuP0nGBzP|S>P{4ea-S@x4
z>4`=0WZN&&@3sbK;M;g&@FPrp$y;*=K>vK4xD?jW0UVdG>F+_(4Xa!<I2^n)lpdjJ
z9#wRRSXu(mt6V8RFnSt{2E}wPpG}KW8HSlX;QwMs8|UGn<KZ;}w{Sagv_g1NXZZrH
z02vVyjd3!?A*C0GR`<?6#~i4W9cD(rZpQr{*-LA;I(+!gCCnT+MO+jFVQTvP`H}NG
zw(<8B4O-2iIwGn&45=hiyFAMNBS0<ShzSTjon@-X*n~#s?*5m3BlQOBO9${m;D+ge
z$t|(nZisdPNR%76VrF|EJ(Vh8->A|T#5f)9Y7=*|vSrI%&4f9rB~P;d_kR+73WD+(
z<p_kJ<ZWcB3(wy=q?+v{Z%6e(a)S&mx@kbD=!ye}4b5^)OzaNdlesMH{gcGfDrL;a
zM1H1~jw?8p`b<&4g}xsDqw`WgzYfFgoblMB`G8fz@JkJQsn|0>gWa&NRVMn+H6n9G
z^vlk*>7^A10>=12C|`(uNgj}g&2wLB&3e>y_bVmL15T5tCz6tqY9oD<Op0^vX!Z^0
zhshE<Oy^rnNGtKi06!F!S+wp^Cw=ZNe5LI&V!XUUBH$&$hs?*nI<V2^)NEOw{=WNB
z`qQJ%eqB$f!y9gW0NVYNz;+QeL|EwfO2T#4@?Olvw7jr3X!|30T+X!JumSD4g4efh
z@H!%Xos6t?)(h3S?@ISDjXY1vT2Jo!ZGQ)|&jTjkjX?U}2eqWLoY9a8m8c$46Wudx
z59eYe#5L3}vE<Vi`|u#h5dY`Qn*W{q6c%Gyx0J#hf|%)F(){!I*U(@M|Gkl2LUZr{
zD6XR^RXMyy!=-kVxx>$4_jwPv<ttXROnnL7Bd~OdFcSB$iB2?=nUO-XkAORSqVp$9
zfxB}li(L87pmpKE;o%{F`n77#VX4*cv1_wOkR0k@?7pLmHaY%Bp9Amv&cj!CS%3@I
zRejB3{CTug*BRvW#XX0=A2RTJ2*~FPR9trxp?n!->>>ywzs8s%^fx_)^NqeC#yM*h
z51<?bbwi%gmX!W+3Fe&s9n(aRuCRyru}qd`<hupx18?-tr}$#$&3+Xs)9yUYJAT%y
zrHEic{8Fq)@(*#H@3|ESkZ4AcO_pMn4JQno5}r9u7C(Lr!w6&UFCkn=F`hfJW$b^C
z20QU5vm~ka;t8ne&yv6&((xmf1uJW+?aA&PrH|C(b(A~w-N@5;<{4YcwXjNvO$0xv
zu55l`jS<Ok00%S$^GrGXRKD*bYVOq6-D$hs>J$C;K7Pxp@!97mKF{8!;bY#nEwsVK
zE`}HD9<U1hO?{aIkCkzh_39;VM<T=ho*?Mg8i^aCI%we^O~0+noo^_uMehSLF?2s5
zxf08;p8|)iLOqXHoz>MHtp_~sjxwTcf54ZHV?5>q&kyJw_a*sY^!I$zPIm(C?md@>
zI%oYNV@?_-S6KVX$*uZt2;F}OqzA*xTN{<2Ra57gb^iV#j#yd`ipR$m&m1JUF2{u%
z8lF4vjOX`rS<vixEqZy}LecQ*zs-1J`og+U!?GlDV_={;l?OX0Fw%0Zj=k?e<2Jsz
z_96Ho#^~n)V5IZi?<UTkvD3(R8}`8-IXYEt$Z$feRav}mL)<^n^g5u*$lUY&E?BCA
z$>G43)5WhvyuNVOU;Q*_3^kr!jy142TnT3~uEt`nE)*?^OCO(Qew$uKZH+7yO4y9A
z7p>PTVM_{8*Vbju79y6QSQ5g{DmQW!PF|{qNQp4A=W`ZBajIAOy06te3NT0x3cAiA
zE?^bV*N>w6nEnm2%z=-IWG<(;!E7EE;}6*D1@eoNPdv<|j(@#;z!bx#l2mrpr|w_1
z2h3BQTi`=0{+jFrpA-z`_r<d(0x5OOz5NO3E+;mO-a+?F5#qbiG?Xf$vNE6YNW+x?
zEc4FEkF6kWyQ;G{9XnZCW@;R$!&=+?2uY-L_WP9WZ~OxSeMkUJH7zeR3{_jiHJ};h
zvK88t%6Fb(&8qlpbJa{0#d>W;_%)f)<+OT#6il}QbsI=}1B7{-sj~0OvyAA{MYyA0
zvpZ;TUAp0#FgCBy3@?5Ws(o}!yoD>iKUDVnApT&r+~0b%sMtuItgDh9x3lY8_choA
ze%ii0&Jvl`?0mafaLx?ALBKwlYZqHJPwdE3w9i-bnc~B^&A{o-gvioIG^vW3=*p$)
zOx43`wWH)ZfOj{r8Oe}jYni!O@kjqaRLlS~0>+#?2Z)CGPI?gs!!P9`M!6X{#&Ks1
zZ#y8FBU09-7^&B;?pt+27M3aCsrk10?I>hxJIUX*L`mQp1d|g;v4>YX(<qj#a6#lx
z>KQPPJBMl-FuY=v3av@qqCtR7o9`}AXlNR{B<lQChDOys@JQ6o5Ogy0Y7Zi4jrN-(
z(?ZxzmCb~1NhICNrSiOI&w@jMRo*v|4NO)GRV!l{cH4ZS`-hpubatn#I(5$DRo7a0
z#q7AmV94JfokkfDw8Z8(MqK4dgrKJyfBQTdKGV^i5bjZ_*{+WK)?&Ij<mi7QdGvWu
z%ZDDJLc6m#H>a}*w0fp9CMA8J6@QBvXH!9rF=?}NSThU({013;wC3;lVQqv$x}D-{
zaf?O1;2!JE4)gym!H0M55G)P+j(YaVytH$F(Qa!srA&k}-swQ4?(LBaDe0!)b#t*}
zX+G0rukozaN6aMr@Zf-N4klg-$X?vnHh}KvEMFi3JxJ-4-LifZAiFkq=1$$bJJQvg
znAddndED)>lVe+Hy@@mH|IS??kYHdcJhihSEZ~iIlN=TOeEpWIv8T=}%>8z^!bL3O
zgH%SAF#Ai3%sc|~QKs~lI*x^J^b)RF`EcO}!*Hvily^PT{;`bJq~gY0+V9#G3x{ss
znToI<C2|nau<jkWJeIs%%g6r6_#5!k*?_Rq0%6P#+1mK+@YzZYqc0J^W~onCk3Ze#
zC>^X$!1S@i-ek#dC6or^^G#{w$1vZDtanWuwBd!snnS@Yh+XIM;hab`)OkZ0vfk@E
zaXER)PwH5SDh41f__C9!mBh=5z8pVmId`pqp`wa1KV5ZgHp`4bPuy)#PHf&A2=4mL
z__3+~>~oe3{>%1h{uysQn5BzL^{Mf(t7(pPKjYdum26}$Eh?K{KLG{U>sMo^zdaYI
zdN-vCSDy$whkGe~+Xew-7JPqa)~%sG6A-H-Qfw;_YuUt46<COuchLrjVY75yv1Ip#
zyz1xD^b#ie-@bn(bf*<0(KBVd_wPj<^$^d25M=Q|VXTx5tXccIrR;U`kD@drEoxCS
z#QY`MyV>RIm(RDmvlC&bdiZn#CLMhQ(E-Gn2>q}`Tg#jMhx;&Iko$}USoq<np0zFh
z(U<-Dn%uk_FJ|?Y9fRc-Yg}z^){4G8GO(p7c>M3SvoQDPm$!@1axYft#6$Ub>KCOb
zrHyf3wf-quzA>wjTGL6TW9YQ_vSpaUX|7`lPQ1yCOy)rBJ76^`AnFa)uXou;Zuo9+
zgAhxf2J8jz1_Xg=V?>6#3|QGMw>6B8OF*dkafZtcvAlIf0<hp29^+qHOGXp8TpP(8
zo7;~G@|~X`Y>&skBe$)p<~BBxw>8=wvyLH94AMjOy99x~rV%!xEO+=Gx(YQ3{Y++Y
ze1c5oMC^aSdJi1-q(@#4_u5hcy`*!<4GhpaGH1V?u5{1Swdr>>G6Yv4(R(L>C1yZw
zRYi>JGB^9oE9&pzlV@jEP6SsB^_lSd*!F>bvl|k9lg!;y@s3!t5P}y5Et#-4AU1&(
z9={$}2&=^zlX=EuW==*vGJY$wPK6Hq1Z~^>naaV8YJY3|HVDCl91X`rDEkMeTjb@)
z-NlBvDG14h$Kf*Xe938mWt_ze&bGgIUm_&U%MFr#!`tutHv{aUz||~z&l#Osd)D8`
z@kwYMayiHMIcH|_^+8wU+{p4p+i<xo-nA46B<XQrxGklJzBz-xDR->C)^kf(DRZ(G
zj+_Q4`?Gf`lcx~D5w!&H@bfL-q<<FjC}(XQ7}YAet$_$+-pR}EycDg_>Q;Nu;g>>6
zfB9wqRSo;Vqkqo9eFOZL-^Z1z#Woy6-z3Lv=yk`D_}ltz0Io#hvwmK}yK(@2l*j6~
zcse~l8HG4*t#DxN9ew7YSs?d%h1g<oWgPWUEH?>}PU_^|q$TN|88a8sVN^o|o*T3@
zW@*0p_nohW0Q)m7|J*2h+iJtnxLu&}!MgjmK^Kp?IBBaRgKZVvT~v_8Kyu^c?dyvz
z*37(FyOKN~%xhRvG(RmOd-B7bu>!ty6efZaPef6RsTIcOm}5%CcjDO(I{OaAjaMtS
z?HZrJOnk}x3k_lrf00_$O+2-BNY%^2Fcd+2)VMB7y<Y=IP+GgAI=MH{fRM!G*%s&n
z-|LpVk9FS$0iu6?^$dyUh9>K=+3_2hzVN>3n5|n~IZGWJFpU7F9fr&41CB74%S4k!
z&7=st=n%f#IJ1|1ui#&zMI0X7#C-jGkIKOCU$#!MgXKjP5j<>>t+7KsVmD@gUbqLM
z>_gjf<RcjkePFZsia?i?3+eH+u(c`{XfDtqX3FPM{VqKDE<5fV2xI_H9}e-k{=9B*
zAlBfr`v5&=WMp(BTPrtv0l_zLT<K-MKuduKdMfy}=;Z$o*&k}~$tD(QVU%$ncB@kS
z53#E<JfP&n9n6#V9{`Z!IM6Y<xkHGsooiCCR>RI#S*R4(Hx~-pPVq=4t?+>NXKNwe
zK&juCJ^|HwJVixPzHDp0{D^$3Q8%b_*y}KR0OdRs&LKP5i<YV{w&Hu3{&&lP-$Qp^
zZLPjQ%5FejS;ns<J=_|8&PzSCNj#YL{A364$TCNi8oPBc?XHs7_6f4r;)e^xTolP+
zXa7wn@*7<?bMV~iz^VP%ZX*u{Kfq!S^<bctU0B`mG@qv_NSfI^z?E%Z;hE9l0&Xod
zmgXusljexzXPy@Ks$TMK8=HR<Yaq2s!8xcgcZ*TBUe_!{osIFnEBHvXTY~xi%2iMW
zXa8)^BH5^J^K?QTq?72<zXUU&gODPpV;IDhN9>o3^?!T}WW;<-iWMPY@bBj=L?MBM
zG-IAeyug<Any~=KrOyxDU1%{=+$uV%_N?s$3^Rm<?^gds)AzUVpD{HB88W`c;JtfT
z@AhH1k$c@2=rkW=f2e2yGw<u~5`iK{4$1a4L!n{sE}PFw7kcFC!5|RGYYBZW-%P%U
zN#_7V(dRyQ`Y|<{GuGxiS@P{8t~sA$HpRm)M!L>|U+r4Cdp!g5IGGv!%h;IY5q)|s
zg!pVuMB=-fJUbzp=&pq<TJ~s?v@k+q{SSSnE$5iwBQ<)dr~KS1i*Zobo$*l}pn)6R
zH%FPTUR#N}hI3DOroWHbv<`yr;8_RoH!H+4s6qR+Yb)(FWDAS7iJawaynvz@tZ11$
zC|&m7eb*2PbaNPgZS@|gq5P`({N^TY`Y(Geo{bJ%daEOtLqrd2kmJY_dSS`PAR21R
zJ&|rQn;aHj*I&0aiqxS4C3*0IS`Du{KPF3?Z$=efH;+G$2HgAr9My;Jt`T^@KefXJ
z*_&Vf(u`CgOawr^y}@kw_kWXEnSTI1w?O4i2>rHvDCl1AORrNBsjBrUB|PW5XO*#j
zdj|bdE3wba=icuP!9bI<0B%gINHe_hXu3`w9I${}!4qh_-FFXCJlM43AjjnnRfe$d
z_}%@_AhZC()19nO{KqIex#%}L|ADAS8vKEzuz3C%z#2b}J>mIxQnmLk(SmP}VD^Di
zYqEWZ$PSv;qm6@ugA!%G=2M9N{xyqGve9%oBQCL<e443n3iU-$K7KuaZB@v0)sZ>(
zkpg(w5vMypxD{ycr!BaN9zvqiyNaKh{A#OOBvt6tqe_zh7s8o;4QS>z&O{Lels#m3
zTnWtNvU#2#O@cXcr_qG}Q{^(8>b06<wV9(ngS5|rCwGh1$*mB6em{LQ4mUbgeA0lo
ze|0iWTa%5>`ZCMLvv6YCo_?E-0(^t1ih%Gxh(0QYtCvH$Zf~r;wGN5A8T#}x75*)G
z%V>j?URY);p{$XV26qLWe(1Y}ilBU4;-6S&`=R$(Fds}hi4l%>9B3GSrsdN-(3>8K
zf%u=5+J;4*H1OYKzpy%q<~aDQaITZUS8<zK*s~#!wZ{Wv7%Y9zOpW_@Q)?n*kYDyS
z;38b-8h5hSQ+<U6NP%m*fbhe^RKUyQ_@{1ehURLVsx^NlY%vRySm#)NPHqb?kLtRO
z?n2EPV%VjQBji%sx*tVTv>CYaxikC{OVpX~OoYNrs7PbNAb>KVuPVdMH&QKEwf*wH
zW1JYklP@dt=Vm<gX+~<m0EaINISnC0fWYOu2=dr1-uiiG>P6wTv*Pn@&{-Y!GZi<A
zAY{j-QwMWX>S!f5Ec{56kB#H<d8p)V#(&`V$KVizftd9DX!EKvv42y)n(%;s(D%F&
zP3Xc^D(aoI);jn2dwz=d&tg<uXD1YfHsRHo=)D9lmo07MmW?^SLkGF50iWyAY0V+N
zPisp{b2l95A>La{vFLGiyA$vbV*}vso57d&>X}5#aDUR$EfU7waR`o*80-wUgUO6=
z{P%n`xc^}8hjQ3qpZK+$--R?c##;R)r<bQEaTsD;4}V^?+AaBQ3{)!_=%sp9Q||Ml
z@jw~87w6}Xmy~|^#|w#TVhk4HNtEJI?kLMx*)^@%Y}e>SK}(5aBgIIat9BzNDjnKz
zNZ$jf-)Et}0LPj?@Q4v5w$86iR^2}4(64`+GE|lCfoSm3V%-Pf`e=F)#yY^p>Z9W0
zIwL!QW&<suvJcG$v%C8cgbdc8;iKscz_8Rr313KaVxt6xMX5H6=1I_@qG^9_i1r1F
z?rUMh%BdY_#YS(qYO&UeJNgZjR>PD3Wz%0}QQ;X6mNW^6008@OVY&f<hcmvKme$N6
zW6tXiYX)LG&!e-9THEQ0=a+54gddVX;h4!+SGI=RV08(Mrwwv&2f+J<4Fe(iH%9~E
z*8^X$62Q2Xk+OI1<IuOtmy?^C7d&x;j!$ESZwl}5E$)UBswT|3$;duvO#UCI|0+uo
z|3`>+{a=_Z=cJaT7?D9@dHJxDZyRU+vz$raS2mdA&;2?JMMkeK2amUvLt<l?DUmK;
z=acyS2uk(@V3I=y4s8bfxOR^FdORTX6$vBN)Qe0>QBjZl`-CxEubr%VQ~nqy)BBCz
zx}g;5@Ng~cEQM=kEb@OZ;whfn0H{wpq;7wat7GPU<IA|2tH8k7_-?vz=}tA1gZakT
zG9w?@S95@#*V8O0yIw-kSyn0zj^rbym$Gm5pMwJK8`L|zgXmRTHF}eqBkGsj=R~eY
zDYQ;gNr?FaZ)0FpynCC<*(&RMZM#uvWR-&eT+D!Zadw-}aH2D%!8vAZOhZEXU;c&T
zA#U6du%_aGM{Rs?17XJ^n=1W5zEq$S5yeS@JDB6x3YZ}!Wt;+CXhLORCAM8VaJgea
ztZQP%0>;i}<Ulgt>txdgOFIk)DwoM1$>ppY!@SDkx7{89{D;#~gKz!BLP^k650rOc
z0@hn|<C9UYr@B&sgUTUN+jUIg-(dP^lm|C%oXcrLaihG+(0w=NIXlaz&laMxJ>q(f
zE*%uHB>wB#f^&N_)%9jO{Uy@R(dvv}%_rOwnf5HUoWsi;tP(-dTj_GOU|zK2)-Xf9
z{ajrlHIL!_XTN<n6bDq4HS76*kZxelF-!i8pgBpfpajaul|Xu0P>D74+$9NR5zr&3
z{%!aJl={v|?tf*VS6NPY@7PMbI$X7{YH>If-?lRk`biur2sTG7UEY1#{qas4!Jl*6
zipI?>=w&3d0h%LWYx&PV!puqN2%encewO5~$+bUIU3j`4uby;7r<w`o%b~h4p`3L8
zIOvVxP+}}U57_y5wVR2n>FW~ry9e)51*s4ELS$w2$)fiwkfz5D<yxyDlkzX|%l5Qr
z!2c@?>9d+tADs1p*uSa9M0RYfHzw~s?qt)~p$T=fRh>BgZJnF0;TrqxxyvR42nkP)
zq40YxGCjEKY7B?XiH)rh+JZB+1i!kjHr9h3cbr;Gt@^4g@|UDfHPVrp;y=8RAf7*S
zU*SxCr(@t05%A)p-)K3L<r3XEllPK9A{rh~uVGXeNRaGcVdQz(rpJmP`p~d_pi|uJ
zztOq;L*9UOAS3@T7WmRu#D3@TJhL&7l{}80d^yBcUf@JbNlRwiI4`}s5*17$qcay=
z=e+}T?Se0h)&1d~sUK_W&eJ=7``E8}&w|GEpkH2>Y=hBgbbdG>lNyI_45*MxU1st3
zv+cSf)E)hiOhBzv2-i&-`bpV8o61*07E;pSBW94&??Dfv9XFz|SQ=)fi2}jyTPl;8
zC8z%_X9J)C(CEC06U#%9!sqmYJjpP^x#XHdw5X&x%Z6t%2K%8oSG%+VmWC&>*vr_$
z$=}cy;?rXo(M#`B>4egL$*G>?AHE82Ca18#RR^dvTp0Q69<SaX=1utuvL*njIZRV$
z%clh~rfFQ7(iD<XSbiu}2xwZc2&%Uw`oE2wm62I5vjZyouBKrs^b<F6`DYoDw_i$x
z*2`MK!gH?Jbt_JWfXS>|BYB9|vK~#}-etF*dq}dJ--PrdUUQv6qcsk6AjU==G+%OK
zK<}`&jtFs&Jx?qkDn)8sR7V!9(;s(yx6UJ9$$CF)tlzL3qqc@xpyQ~GWJ)1--+MRS
zzXiFaqsMsXKT_lc9!%KoqqDBX;WC_N^2AAAAyqO(&0YMW$qiN){o=tI=1carI~ed8
zymSVE94Cd{_oZB~Y+Ja*(o`TPKl!j}n0oKY50^UASf27QpuLHX7g|`jH4f;PvbOml
zvb7{XR@O1$HFtxa@dp#pNxH3lG*|pew&Fq4>-Oj!YDJv@iW5B`cP-4orMORtKLwdk
z5`fr|@_{u?qmvVtBC6P{3|8B^oFjS7@kT|<@DorKrNEt#1BB?%bLyYv0F0Bzb~-aa
zSS`<>G096tNU=nen3%*p6uG{6QN-}wo1yPz?u3Fa$};oDE}h+I#I$LsP-1@sNdA2V
zzvWDB9DFVmIDAE!AcnS9eF)}#J@|G-3;X`D_PoYXW>BAf0>vFRY!AI7ig~KYr(3Et
z7s$4X+#8thFjQ!w9f8bt6kUY`rC8k@fJP}}?xbtq^DS&>E=AOsmdv7=R}+wV=6UHa
zZ<6wj(c(!4|67~N;=}XSX;DKMWWTjochSau*{c5A4JYcYH6D=j41k8eJ)bZ-4UPQy
zK}^36J(rCw*R8~(`TBH80SSuS07oigm=`E?4#Ba@o&-AG#`aTfmayEMLpq&>w?{Ww
zhME5>Yeuyp&tN%e6&k12a1n^fcSAB~agG4*dURz^Oh{#<@-ol}i#+i<IWKOo70|uP
z<*Nj}tDG*y@*36E%r7h$o#Ex?Zg?bP(v|(A84=A(=mTGm@qxJmKe_OD=(y3?A0<QL
zY6+BgJ6-<xU!D&ry=58WJqrdwQ1ThH`Q;DO$&+v4&Ub@r7R^msRw)~Rt3$0b*$U=>
zb>9U?UKki2?3ep)d;Gvm7r=|xbzmv?1&4#7u-l?D=|KmMwVoS4JJiuXpB?VoFq(nt
z165p0jtiLn-915NK;bXHIK={Hi&3r1PP3k_*>rbi^f+d+JJr1p{ez!1%>c1o+ke3~
zcKmT&Pm-Uwbo31F1ltDRqT%DYP~DF7<6AfNt2f_>{gr~sfetGs_|&&=K6n;p691Sa
zEaZ_Kp_%>*8kO9Bm3Tqp-K`gwD*wC0ZU;IOmxTP%Nvs5Fdwrn12GsLry2NJ-1SgW0
zj3c^Fk1~*{fYHTy@&n(ac73*qNiNr>x0-T~Xdpu9!{gpej=p3^`fV_o4{QUAc&B6J
z79rs(k+!c3s41S*2;I0_i68EE>u{y!f=Ar`9uxV+)jYL67kx6{|B5ML#Bb5dds%QD
zKD-t?viyztuNh2DB(6PQEyi->rJ-k22IO92k;VycORLcGO9DfxyzQn=KNW8vmt>%Z
z0#no2Sv`y&7QJ-nIRdE3MmmevX^<*)o*a0YvMxFf<5B1Gg0}kmv<-w`RA;B>Mju;C
zXl^f@1*Xo2OUA2d9f$uf(V@a?;?NfO;)M`fhmg1yw!Hgg;dyD&=j6!U+g;Pm_Qd00
z{;JMlp=tNpX@6+8*7m9+u3(?M`82i;20lB73MYg6*pgewJ@_(SCQ8xmiW~Flf<5?l
z`Km9+d#J=`i#kSDC&|`)j(TmuW<URaK(p%1C)wP;HrjzSSAD%s?WY(}uh-E-OYckT
zZ|Xk61H|Qj4)e6sW;Bbp5UrYH{D#=#h2Gg|Yz@Rc3w7Olp-84kf6p&s7>90*^rl&f
z9FN0EX=M<Yj)yhOt~j&W;M1)w{(q0z7nxi5%!XQewr_;bO8LONkNe4{1m8v29vN6C
zjeT(i6f&{K04(DXUpupsfW?T^L1)WAFCC+&7||oo6qDNNZtcEBV2|3t4Y(?9VijPI
zmH=w;Z@g_zGrw8_%JbFxuELxM9q#s=6Web(JV53Wlg_M;J$?RPly<>;_y(2)71EV&
zv@fAgLM99t=4b^^>%ubt&7h@3NYiP#qaSw?<k3DP@sz}<`4mdGTyhR2O9XdDi}0WT
ze>e~4XgQlykL>B?we|Co2AlOK!SCo6#3@RV#r2?D+nN^I%QWb!0{fwXsDHDLtZMvK
zftbg+H{+mRrmHNaS>v5Nx%O3)1;&ieb{2-GLK|am<NDgWbH8m()Hpx98c%MmdBhlc
zcsu8iz&7WUZK~-MN(iJEVH(y31K2GvW=lnLsT;%HT-jt_L#5w79c~xj-%piPj8dMZ
zqecyJjTyPDhm+%5cNTa(`aYrjzt8MRU`5f&G#mJxLg9-!WkI9<c{aYW2#%gs(*A>L
z4R7*q&&_)v(*9%ew&Qg5T3FjGY^a>I2Otfa9=gH+Q(JTc@r1)(%-V6*1jRNr`3SWN
z&4;vF?@*Y@IwX8)7CDeCp_oCme_goqsCZt0a)!C-e`yyTdzNGQEoYC92<|t!9*M9Y
zFI;xv0v>8H&2S+azA>AYrwU#q90>7j7=xH!PZahr7}(;@fg5Utw#k@j4eTu=TK(Jw
zGiQd03wN6AyJ!JkYzffj#FPSa6q|g1T``o!OAossN(@~5b8;h?o^p`o!_T2vacG|X
z1FfO<;>&cre&7G342E~xa(|o+fbRBw8GZ)i&zYs~ABb>>CHpK5h&M_d-Y3d8ABMd^
zuL4TKMR>ARrr%%y6vr+WqXWi9QubAt*EOST0nXp<_lcwC((4fsvhoyQ1@;kY`Yx3>
zyB9tj9;WM37KwPy_?*~37)w~?r~UYUwX5#|zkWAuKoTC4q|$6Y^EoW%Bj;c4ruj_H
zRAt}jreH;AeYKU1YBd8W)+KQ7+!Cf_>*8SOoU&9q7nzw?T8*`N%dPm;)KL%n`?V1k
zn|Xz`T4jxuct&rm9_i6s53sJ*hATGSjcErzn%iZR{$G1v{Z!Q#z6*%7QYxL2(j_Se
zq@|@BBt+>>IW*GUDM%<KE#2K9-6`G8;hejVALBcB?w$J&Tz+sE#@TzVwby#%d7t-L
z9>mW@`0^FAA!!SDuL?Gmo}G5;WRO1i<I@1D&I{{8F(`^pm}>UCM>wNvVW-<e!-}+b
z5g;UcA5@;BbpT}2Kh5K9ysljEaOR(2b9|zV-l$OEs_UKl!|8%>Vi(+MyamnIqE6`_
z*5Y>S$vHm(U-ugvMB01J22Zlw+?tSfA>coOU|KGiV6~VjG*;T{FAhsdW7V2OVG93&
zYebNW@s)_uderD+@moWwJ2vw7JbkFcI>!aM0#&+jd@#HM`>z~CdJkdvmQ#8z`x`3x
za#mWfP~_ch@JF&6dghpp`6iFl3jI4S11OxN9Y0#ySPiU(b#O!u1CBgLjS8rw%FYhy
zO6aLPv(;1V=}A)MlP_C;s!Mo;zTVOkHyfqB_MiJKq@MMiOLcm<@Fs3y`FQCfi}h0Q
z0gbRrCpi>%TNV{&{UJ{*jf$&w+0wVbTVF~TAk~Vn%7!T38yLXY4<az9BD(_4$YH{k
zw|7kE+JnigPqbE!wt3LHi=zT&QiZC%V$$n=@f`$pGnwCqbIl)N-J<bC<Ky>ah`2Bb
z9b0}U;~R1TgttfGgM7Ray`aq`V`yfob=`IaKvc#y*M!;SLCsVJF>4AGZt=s;FF-6g
zgEw!RAp3JQ!;hO4EP)-VY?MEi!?V6^I+b<sHJ>i5GQO(pLn!@&rSwXVK~KV8oHRJN
z!p@BtTMBUYLNOlepE@<WecGe(dS{pg-fAN<Zou)5F%UlKc{*GVI6*dDpsr$CH8&5d
zw5isD4P3&Y(4VL2&E@*?H;=Si6KMt19k|kCG65;64WMjqOJLv}|Mo#7pYv17!2svK
z-gXmh8ZVG)!=`6Z=A2<JhuNi#1oORzJD(qg>nJs{crR$#`<^foE$mRESeq=%F&n0}
z#9hI1^Oo;T;%*${xHC%Wa~&X?+VwcfZ4<RCeeE&dU18Lka3r4T>43lhZO6#`e}D&0
zk6eQv8pM8KzlsF{QZP^+%hayFNVp_BL8|d@#J^MQKTGEv=iN6<83oZ6pMOXKgbc2W
zO{c6YMlgiUjuvPmZqFT#DYHMHcNdR4sJn(<upXIY9c8@4n(T;os3c)L{e9qlj>Sa8
z9T!eCzDXnDPQ4MZV3$`9W!x>{@dnW-1+;kG?q6=e>NXN;C;+ZI*)~|)Brh_BbKCvP
znSl=Om?g}h(f!=!t7<WeKHSE6KbTya*|t7^oNd1<xZ^%}SR`OJ-9i<q;{O16Z&?su
z<!@9O0i9b;<a1@8=C!h0s<f_CH*+kGcopxQ%=g&y=aFp3S<4O&yu_t+9wVJ@4&H(R
zeI~6^*G?u~`XA7QGft;&f0>@ByWtxXIv!5*L@48jJAhfcgmY?BS`5tpYl=mRrrYJC
z%I|s(8*KNu^Zv{8y^|=cenWL4Na6Se&y)x8^D1Ub?@RL^57MpLQ|aIL^RpSneKsFR
z%?_{}nBcuW<NBv5Qym49gN6cyciP_KWDT%nFCs3dYUk}t;8vGsfas`E<i@E@V*Ln4
zlZU)n$=6v;nR{-9dgr$ZXT^pOECy-r1<gyZ=rxn73H(V17?Hwz4SH6@Bf2*#p-uI{
zF2P;20`gVeu5$jR3;MSU03%@nxT!0zuxZ!qJ;C7cJD+UW#1f2K>n8S0=iK@gEDR{7
zjrC4Bp0KI`Y4H-ZvTUL<qGeyTEjDhQC1M<M&*pUNYENM)<SKB)=`~e2&GP@mV@gw|
z=)t)-Jtpyk@6Qua^(Cc<fDSmzTJiiDNur=_I{B2dH8>M*18%0OF4WFJ=)g^0@8~Ak
z=5oPw8<_xuKXZh$Yi$@v92XI)%`qmna*M@zG*tF>N{Kyo5~o=P<YeyM0?7z1_CNE<
zf_KEp6FsOfNv#uK`+jr(S^Fuc-nvWNCCPKkEBDZ#uJyGj1a)x3dYZ$q-5p0hETBnK
z3byMHeYdfOxT425l%W8Wspz?Ecn+_~J>SvSY_EIRzS;BEOS6xTPa!5D-#NtRukR0P
z{`-xK@o{FJrS=**VLbzz8bzdD64Y9y%4Xi!z9=sHqy<7`_P8dB`$;gACcJil3A(VO
zadZh@oxQ%f$=nSt0|6Fu?-`teceuNLl6LbhTuE*KBke#(5=~=)gOU$?saY}Gi9Lua
zcyYEf*u8-TMdM)z{f~M?=zu(FHI1`=s&qmSe`&WS_u-6dW`A{=6`E`O@Cg&QC34m}
z#YKcm!_%|D%FHibgg4pey_T@?D>X;y{(Pc4m9aM$UL+C4YxsL)YzXo1-0vYMkNJqr
z(hCY^8L;@(V2T<xaF2U<Jy|uoibj3YS9*(!$@|xMsiQjv*bIq{ea$-O)G>8bho%%%
z6M1S>hdy=w(4`R5j>(k<8HvBwu|$WK1)IOebMnyxfTlH?udauy6nVyAm0UGiu(&<o
z;*_>2Y^f#k``9yeJ}+n0Q63VZn8cPQbmIJ^$mmK$n4>MHX)DpUKEpNmpI<o&y+(4Q
zw8uETV7$CDKwhXpO^)HMXU}BxicKtXmNe`JXchIC2}|Zuv#GS)*#?(!wdH-7&$X6-
z2?2TnB`sntyfb!=W6TY{*m(+H2tw12d?YJ_6Tk263*b%Ao*Zw)Fp77}HAzNE|Kpl#
zQ;ifss%CyDIY*5Tq4p6iy(3#58DsXjkNIT&8crxeRz_C2v+02bA^8a>e~niD^h4}x
z4UEEd8Bx*ec5cZF^Tw$ppI4`%bsPv+yTz*SFcfx_?nx!_NUv_uyjTqiJf0OkziAb`
zC-&zI+ack6*O%md2KLicm;LJf1@-L_i49g>!OLYhsAL0=MqPD<&A&nE^|b4&4(H<E
ziS1C`!qWI1GU@^KpUWWoX8KIU{CU7^Iz4DQk^OPypD$9T<xv)-S?eR&6T~jl&X3sI
z`3JEC&?K57f}vk*dPaav-%msT_GoT|dw?3p6?VG>zRd^SCHpNOdmas3&V7c}W{p&|
z_u<IultTFdxt<01?adl%g;hGt`?g8ID-m13pnE7?2xKUZ?g&&~a<;qzX<|l&JnwKQ
zlsU^kZ)8uo^J!<8{;2`#pndcVFjEbJ#Pcb<(P_<7=C8qQ=W;&UB=$5Guh2sVl!_Xb
zbltaeF{78nSchlthVu?}MnRu`*m&DFFVnKQ^{(xIZBOb!E$tB?dW?IMOm+`p{_AZ2
zj|S}118&x~tev3B1nWB#udVlTjyUSRzp_ok4)h`&3WL~SKReEvK!_8kPLn8wX@zWT
z?6x#EnIXh$+o40p$&#XFkaua`<A<_TuZ3oXz~}8avp`#d;WKG@g4Oj~&Q<C?IK5)Z
zE_#-?TIRV{Jx~&9(x&9kdZ^jOvb=wHiCAgjKW)Ak?wWwT<hNwv$4>M+6<bFuTKdK+
z_nE3-ETd=X>&m+n@q{(mYJ!cB>{#U4SIfSbtgbSOHj&Kf=mdFR7S1Fa+2zkiMbC!e
zSEHd9)qpCCQ3WPB+j~D``wZ#wXo=C7nIjKi6f7`7-*l^tCnE-7Ks9$6i?DyauSFVn
z`kVe?h}h6W7O-8|%8*CgoEDK4G-`q%LN#6U;EKvy>jKE!L9ldJ9CdQ<2eGYhA`hNb
zoFyN<zV3M%3AuywHP@mk2z;?8K4dL7ze4=^=#2SnuZ7)FQzIDzs<cj|@H>_}$JJ~e
zdIV9W`bw92`s(#+Nz|#H=@tUP4;SPx2_VkJk${CTmGE5*L-&Tg>Xy7hncki?zKo1%
zlV}0z^i2<TZ(va1lj}yDeSgj}q<#hzYSD_1N?tpOyK+9rYN!a5j7o@Rkzd_=vf6h2
z4@5yiM4M8bOo@}f``T|18eHzjljqykF=bLc!YnsSh}cji)0E~Zc#)WWDDS!+EtLSL
z{js^8jY=f~c!HA~7z~S$iKTlHkPMZ&n6qhy39m<qk#~~VSND7DgHDr&xz(rHJ6P*{
z51l-~ZT+3m+8lUEj8Tx5Wh|jOKN-Y&hHo5Vi-k{Z#zqH)(nJ6G33)u6=$(%DWG6L}
zL^rrPgB^JX4LOpY?y(~D=vS8$rBX!Yk$uG@yZ*NKH<mOH10RyT^xb47Zd$@C41Egp
z&~&pfT&}8ZX?Gjv{W-273L*rvTcR)33%`?#LtnDL71P^StqdLMBBv34dlb5OCe(z4
z&rk`leU+RunA*<p+Xax5P$D(W;y<z~OXj-BdrRXDm*A$+gMZr_Z{!r(<;8a^ud!*t
z5+W99s^&Vac*~qh6a(4z!4YMjWRM=<F;x04jdQW%@VGFS0dz`>8*5M7=7Uib5{`j^
zQ4#mr>z^4Ly#b?tB6^w;c0@Ndy)-itU1;5a8lfQ5Sl|zt*EYGnOSTs5h(HqsU?}W9
z3OqPeaCFfs?W@i7bqPF8EQA((*U?=X=*=>ECM@_LLkAAIlb{)LSlyjy^!X`0uf?)s
z!PCjD#$SMXXI(j<ELCKQ0wEVLKpTsraR>dq=dAuaH$)!@6kjeZuaHmpFqtghF>#{t
zkG}ki1t1`Lyv>RoI`1(+Gi4jtZ=?KZY7;&4;@Q;$Zls(TkqD8|$B?XwdWS`9QX?AM
zs_j1JuZc8-gxtBZ2VS%#D%bm?dWk9jKJp;mM`}0o>%x%6C;qA*t!*A++iSD1N;M>m
zG@IwlJT(@;BWy+nV)jcz+@|O9?wjr8X6ttac)n{4Yuz}9(S-Ia%k+?Lo5G6U1T2~n
zI;3ZQyK&8B(zso=_Yuj(+Dvq7Q!S2Em@8vN?!h0GL+*uaYwXRqS$#&QdvhxxD0)16
zFA5R)Uhrp!$Wv9a|2@6i+6Hp|R1=j?dkzVt-@dHuaaJrX4AyM%u|sHmy3m3ArJLB(
zd^LNmA3ZYO-I<Loj3%!@PzAg&y)2{2m-aqh?L%F8soiTi(Lal*B!h5LrGL#7%*ECt
z?Qm+Z-5@@&#&e~c9eeUA9hsQ&7nl0nDGcR6l$8H=CC5)BT>E{})X9YOKCAqt;kJc|
ztj*uJ;u&&7(xCY@K&+Ec(~2lc6J(1^@8~{t0`RH(yp7UX<Vc<BM;;yv0mAR`6k+BL
zkL3a}ZL0E5XqDejeL}X|lN5R3P52i`G_*yk_J1B<`{hN?QdD^ChH|!)RtX*jk@Mxn
z>sIUrb1I)MG+@R-?uXXH_d6S3ZP-!_2j16d!~d@Y`$;?w%9pL$8>Rm@+zZDk(1E_n
zqpq~NRL32n>!%GVT3gX^j6()XXEDO}@&d8vkA9~0p%$F19B&c~$Mg(}$Bxw^dtc8y
z6kCxjR{QvAkp6{HW@sNROMnL=#vs(oSM$#tGys`V@a6Jh{1!a$Af{)>c;qR#P;5_#
zVPbgn)KCBPc2xAibt`M+SfKnuYkZ)%;_N?oiH`EMHf;%{pg}FMUuuD)p9WcZf6y84
zz@%|-O;+f3+Eh*+s9uRQB8QYL8wV>0kaoNe=)4vd0uyC%{7zFkAm;y2nlur$;P)Bq
z=@VWoB7Js;RTX%89}}-_9bEuGx+{<lo%>bR7KT@@b7bsdWB;PYMC4=Vi9;zof{#Ch
zrwve~o$a4S+bq7X%wZS)?d?>bjwC^xd}r3bCo9ZI9R!b%6A~^15;)%Dk;prgK&x?c
zO%3m9RB^^NAqhOuc)W*E+JU=4mP#UMXqV%E(-%p>?U-&T{S^IQ9|E^5C3A4G6!aC<
z$NX}wV(1B_^4?&G;ZPSkn>Eb{vJZfMltUF1&$6O!eOe?@lEW3_J`^@%c9n+Xy}98|
ziNDrCO8NVF<#DAYcA`#r<Cfo`9PgP{qFGm5oSz?4&9#I+!7~p7%z<a~k3|KSt?g}T
zU!xXyFSH5=WpdpI>bEvnIL5z=mI&xS=nU<r<ihz2Ao2v89iDnO42P&0;0#$uYVuj>
zEGnb`jiajP+XcA8cXAT_P$m*Q=Fx>CDlQ1#Ann&^RqFqNl=-%Zw4Z1^Isfdt@OWq4
z<&4e6#UWS$f4`N6h7x}M*DgpEtkd@Nxgzslc&^~MD9x@}IH`V_$`wpnbm4-q=0a}l
zq<4n?_zdYR2_(IHqIgp*;I)^ejPt$bWdWu&M{S&XL(7;zXU~5NCg^g|Q4meWXGs`U
zy4i`tE99T*g=bhVqCB|hVLEli?Gq;Rch`k^r`n#5&6t#;Zvj`+`mXt>MlzEpJfvI7
zHuirP19U3^g9JojL@CNAjKsWb+vaLBXFt!b+Gs$jnl2L+^}GF(CZ^D0LjKiNnUGWB
zn|s4uG&~<2?QD7+>AZWKM|Sw%WYaQW?n6HnJT1PnTd<J}M<|T7lRy5DKdMs7`=0wx
z*sO<4X`33?EXrC)o9^AN=MF%t8uvId?WD7gFq+<N&xlf1#|_SgDk@z#+zSsAqQW}v
z^R%Q#`ut~+w5ciaCS|vQRw?Yr&W*9_BUT}iAR^BuIxgSraAaa?_(pAR2Dc1iEC+jp
zAqrqk6T5@xK4Xv8p<3iZjS7_OueMOjtVkIhi#N<`e|OBZm{U=55~tMmO}B28b{uC<
zYYcI_|8z9s^eDAB;wR(Pu0x2dumxthvx-Op-t;4}9HOc?UUhEw23kC=fAdAl8uVU_
zw{}Zq|Fym&j}Ql{fUlX0;G($DZ_C8NHjX<#KHgrlMM#lCGeQa9|FLxP#67zE{jNCN
z7ik!Wc_$SUQgJ{yOm8v4MH2b1{*#C1=%kixPN53jd2z0*MK|8an+DLU9^$6cj3B@t
zB;a>=Za1;Jfw5FCMs{a>rQCeUb*BGm$^z+Hv|;`Tw>;}#uP{H7p4Ww**|MrS5KZvB
z<}^rrf+@Q1_hmU>*PPx51@37wIZZ=SpR~*z#GMv}So?YZ;1A@JXzFKzt{xVX%ct~t
zjQ&^01^zV;5s52v>N8;bcIT_3VMd*zXPd}8x*}FBUxkJrEz;U-!o+puK9qWqfrT*U
zYGiu^eP>%m!#e+R8uIsWv*3H%S}8#3PWUv96-E%h7TvwOHcv)G55q(X$Y=!vGTV?2
zZ_tXwLQU1#&W4nKn2(OXohKUCt^FE%7)2{5>ugf|fBb7op9tJP;ar!pc&(L+i|Nqv
zl%a$TUO|uufR;4SjTf%wMYmUa_!tdRd`)IJ6BsaeY<@DL(o@vJ=2*P@?s?ar{;@YW
zABS6l!xD^%#i4yddg|sDv_KTc++Cv8(nsVe(M|!M{3o>q0D?BN9`0oF{K6E7pt6Tw
zh&^gcLerthOQsoBPTfL1@_TH*T9Q2D`kue-m-|vn$p)5iv>=ULN>GwRw<Rh#%y{AP
z9mPQAC<yQ_z(zKhTt=lOf0Ccn&#)pHcs3=!HTTiT?BU0U%$zP!VU)EDj=u@gfKgM-
zD&m}3FG;RF(}xNeIPo!!y~2=>r+K{VkB$$(B~ro7K)46rCw1beYu<uC(_feT4(JHd
zUpzZ_GIc7A@*tVKz}e%Qk-gks<kh>1JG{pL5#^JmJ<+N*P4z1)`nngRC3sB%V)vKE
z;Xxfd>I4DQX1(m#jMFzYc2ug9!&~*PcsnTAsnAFl>_)Hz3KhNfUz<csN$D~|65IT7
zKcH5A;C|U2OL@=F?flFk=5ed#D8hK;t{49eQz`|Gz5y60?T03HKd#Un(;wdNOLM}Z
zS3Xj21mc?qsKgBa*kYdqbk}s!Yb+LUj)>$labCBB&sD>1vJi>TCw33K`itAKx|rY(
zU11T}PR8~~ioVQwg%*($Mj_T9^`@uFJM)O5)N086w~G*&Lo2{4QGs^7lpt(>jO>bq
ztBCIVux0!EBh3BZht1>i;QXmK$vruanq1zMv8Bz+!iSHtsGx)_H0e5E1Ex3k)`6M)
zp0fz8ZIWyMX+c!;^WMCdGu=;|$Ww`jSh;QiQ@&2@DHZtV)AT2@bx#ONqE76Uy&gW;
z2#D@@<n(r@l!BfV9WzL_xcsXklrx$*unYO`vB~%klYecZ9~J%b>{obqI9=w)b;U?A
zE0cu?4|)#kc3JbsjJa*GS9@l#H*`^bh^v0Em$no}&+4Tdw2n>nBrN`Yo*J4fN9yQ_
z1pu}0<nP`&>gY2F27`}UQB_(?eN**ml(6B;C`IO^>gxGC13J3-ED4KX@x9_kzhNw#
zmX}tN@lvBc!`Ybhchty$>;tfLk1TbbIjGe4E-|#Gv()7<PiYC&&?RDcQE4ZkauB0G
z(i?aB>7_JZNZIv4h~$YSy5d={;>A-z2=?AadDAnR?LW-i2ly@R-;B@!=Bma<6=eFL
zm^w{9VHfd-Zuj`n3I|{<WRY^jS}zl?MCY)dB6p#U&fFDbRooXa?-7Z{di;&9WNee3
zH?qIWEccH)T0nkowTMN8X`~wjnJAY?l6B-r=SiX~<SAqg{nQGVP%-xwS$Pb}$XL{M
zVyEtDSswOi+*CwGFSB@b$oOS~tl~QJ_Av6{zeq2I?uevEHU9fa&WXAnE6Az4=nt~3
zvTsFB(eITJ_5~itna9Bsm@(nofkN&4Z+uG+n7qt;B;@mu(kAW}?QY3xKmI%2++xcS
zb2g=N>S9o{gAy^X{!A;@V25FYZ_8At`9M0yj)G3=Fu*aV#KOO}5OM2GNXcnUuz5GH
z@`8%=UZ5Nra?SjsG!QtG^EruE7bTB+@b9fDpeSOp4Y|hj^^^=2T~v>4CeG+N4ii#b
z=P`k~2!PL+eUQ6YecFbX0ieuhs&m_oj5TYe|7xYWBrD$oM5y54(!9e28v0TP1v)lm
z0ltU}EOA3L_Rq!#NOsh+yjJdQv_)dj_u?HYGgwkroZ*S1c$Aa(9`Y?CCNjd)+Z3uO
zgXKjzax!^`4qPb+J@*ao%xCYkD?7IcxqCEE13-AZwpYq8NmF|6@0=q*Sb;l)EI3Zt
zOA8Bk88gFBe#fs-BI(GKVn4}U=Iy5PMt7r|S(`$MIw~BfrLAidWdT{Mtw3&rS>SbD
zgg%+jvwRCBTK@Be3@z)Y{Z47%#mcLpC6=W!KGvc_NaoV*BFxZx$0zk);FFFl?i_+8
zafZRq>^0h42N~>J<8G>eU%5&@>BbNS!0YV9=!Q7Sd~SW~1<R?~nM5M&l;5Xz{6#y9
zciUTH>M0TYqNYOPnfifN!o7f;Xw1mu-|Hk9(o!)j?6T7Lm?=%j>Lv6|o^a2bA5_y4
z&Oq}_Z3DobReP$&n*iV_>~hEo0^2lh`|?S&O7%rUGAQ?tG3y!5y@rRE*VbIAGW;8V
zzBugU5qIMm``3*K6b^d^E}MS75KW+VujHi!8`p`?NV)fTM)$`C@nN9=W-rVcDf4#z
z=c2bj!5De`jfsdz(v^l#_~D(CGl=1$*6|3gL443<=*#>sxc@;-S^nCDuFdcDQV2x;
zv`p|g>U!5AUJ(rF?r?}N1J|adgh%T8w<4<*T3^0u&__lNXyUXM2nE2v{T6^^yVk?u
zAEx%l(^lgHZ3#LNkCKDKDm-FOcvG<#LxVPiNhsX62C6CexBv&rK<AU#xMvD#k2Xbp
z^u2I!cCPNWV5?rs!$~$J?Su`=^>%394p3TSVKUoyQ~hnz*vpZ{B}0ljlna=x6Co3j
z23_HcX=78jp&!x3jIscSn(#SNqON@}#iwt5L1y@-jc>m71|<8IUSA=;+Dj;@sVRl5
zM0&25FVxpigdm#Xwf$LumhZHb<+hgx3qfA+?#LpWmj=!;EcC{RjDbJf0%MvJo|I=$
zd?&7H41Y|Kh|Jz|Hk2f6tl@gHh)r%ia<seCsd#sOs?lnFFKBQtH2LB4)`L^e)>hO+
zpl%;%@0JA-uWg3Cj=N*sEA8+?xVS%^Z=C7fNFo^H@TYJ$Dkfr*m}o@ZFP;}{iBEL-
zYVYvbWg;63HkObba35GAwpVMbz8PJ)I(@hJCq;;MT=RIoA{*#*fa~PFB^<D4!6Q`b
z+lF7QGsNb(f|=MS8hTL@dw;Qoa&4Xw$2IsX8^vJMV5gEISxVYmK&{D8ce%j9Mt3}P
zSOS*skL_muEtHW~R>*Sold;Z}!#821U5e#X8sCjIEuC*5zYl^JKfkS2o56-&e?cW+
z%ze=d725M~TGHELlV{#v(3<6EujQ_#@Ve(k;6aoe|5md3^*gQzLyB<YcpR>(cC8hK
zyAIaWT)UFJLqnsPq+r=eWjY0IxZO7FKoc=K_j7I!V%Mzm)ZBUQ!NYZB#Ts9CX_qbY
zu!saNr=DBoeppAeO=Zv2rm4p5!PvoKaBlFM#7Nb?#h?!_r*CCraa0zCx$f69J0u5^
zy~*JwX@}@O;=#W7P{!6JJc07=1?6E>q*O>){r<(=D+)*ps%*`IGf8%r{HpUSXoklD
z|E@65NJt@ajq5fp31}^R^U0ezYfpjWl=#5HV><6IRM5Zwtf^F*S?!dgu)iiMB&X5g
zSY<pL?;YynNwCM&T>1WdXDsEe4A2y-1nm{79~z|aJD{v;UlWq41x`mX_R<cJd<@!#
zDm8hAPi?nwL?|i~dnbPFj-kz9IhYK6)Z1-JcTPA$r3vYhzb>$sxVuID0%DDz)^R(^
zehBq#(t<8nS;7vU%o#jFuzWCK5Qio+YI)bK1Dk5%l!g^{H5<5pvy{((&F0V9Lb18E
zgd=pjM-S+_C>rQKZC*{~kSRJ~-(mm6?`~cpgw?#LD6X`=tHWC_JZSd&&|Y_*E1&v&
z+ndrj`a*|@^mF(?@k1ixWhx_L8KFW;LNLGy{_x>L?)mOiv-wQ9sf${#4;-j5PH&lc
zn|WvbLpd;JfVDmBv|@u_K>`mP#*+M<c=)!{afZ(g{PTGg6N$!2=&@E)`4NRMuHd!C
z1p%7)er(y2$=do|dg>h;crjJ*Wc50q*%caa8oH+FY{~c);%C{MA0Wt5@C3kceBuyH
zTDNA|5zYoucr5TIw+EyB5|tZf)diU;V!q=S_K$n0UcG%;_!!jVFDYEnk*>)_3;%<b
z*JC7}C@M2y8aw()tQ8EHoO%2hlWcJGNiyw0M+)PoHV{5>g@Pqd45j3+|09R~7@9ot
z`G<LNG&1f9Rj^>0*{g!1VgIg|_&VV<AEU8l=7V`uUIu{axEXo0EoemjJ*8I_ijwi3
zLAXAZjdZ9#MSrs{hUfBTFivSD6J7pQ_$09m4i$Wm7J2^g_cL>sO-TC^UPt{MWbEsl
zDoH%?o*<gPL&B8*zYb~Wg~Mdgn9V^mxD(zg8CE+2II9s1#735-S19f2Pb^Mv*y^^j
zRdRJ}9^yP9dYb*oSq1Vz3D25pCm^$ftcW9ib^zpl%h@0`d1S;2;|{LSF=I{JpcnGx
zd99LqEoF0pig*EDqACwOBsqY*st>Esd27ES1j8e5CI0ed5Ry~#cJD<w%C(;ekIBQ>
zfNwB<q=@cr&_$Wz>)IM&AX@0+K&%bFJke-?%!yFuh*@{D+&q)DH@R<UI&V44O@^{Y
z)07*qZS!F*n;KnlpBc1aKG3^#qcp2gei27<YtYv<eGFN<TDwK+UgCHP)(3>`KxoOV
z*jR8&2}D|;%dsxfAjU#ea#zDKTq)9HnuHy>!KL%qSG{|AJqSeinVySB#n-8cg-cKP
zzf&lAbS_i0>a37p;P(xQ8b<6m4V#zgIvutvxK70q2v*B>fUI1BwAU$wQ+SR-4Ipn;
zfDLx^k_v87_i5O761FrqG>SCKb}bBUXUld1ISt*Tzo%O(Nqmr^2@gUerk6J%lJ)Ly
z@$?NQnlurkaiCWZUXH1NV1zB__TXe0b+LW=iuf2^5BX%+htq4>R6Tg*s0^m&_*CSz
z0@}#8M=77;y+iz20rmrBFuHUXTiFfHgVGjh=pMMq&wNP){QYc9)<9uHKMS556;Rp&
zI#snbJ3ap9nt{eOXKJebnlXE7ZQu4#jKe+fBR1DoLn$OpGAGAcD|uBv1G=TQqzTV?
zSTZ{z;lkDw!_5P(u@sS(^UGK5$5ZF`Yd#NOhAK0Fhd?k$jRu;dJG?^ZjT?1-Rr+Dy
zq8YJ91xH-^M(^=i+DO>3xRSOmNSf}Qo)9RC4oWrLQJO78@nkj7Ue|5tmu_~Zpo=SX
zhA<}OV*VAO6nn|%3+|F>pjmG4n7+rqCwT2pI-)s0!+i(ziRG8uZCM5i=Pu3bv~0EH
zW$aO*<%WJWDx|(yTrkz;R_hhBE}!8?--?J<-6R&x;xvV?D`4=Q0Svqsr;j2!SXsZ$
z3sLJ%Ejfuq_bXQ%Jp2+u#3FowO6EAC&F552_wX72hLGBU6{CFD@M?Xl)+r_dqQ33M
zss>YGO6K~8b>U`T&&JQ4mXl%@2~B~F_0kZrl4jLiiwVdy%oS<}DJ#>E19fc<(ML3+
zlSJoRk%EDChUI>fmk-0>P?KX)OA`O+`rQ>=#Zy5OV9q$T$yIt{E#IUPpQ!DB?<K_6
z=o)@$s(Y$~79<gqG$+OWR?bkX+><uRkP^JB`sUSJd&!;MJ>XN%P4}*gz$a&XujG(&
zbNz}$3b&hv$QAdqn7lWw-HOt166@?N2wJ3FwPOKLNj7z;3Q^ziSHb}=AW$}OUWS(p
zpJn%N(Y7bgIVDJv=Q(*LqsEPW7tY9&-T#RHwwZaUD7cI>A#sz@IiYl46xd+)*2j?k
zaK-29xyB0bu?NN+Nx@@w8EZCn8`vf%61oX~i+uo0m&Jp`83or0vyo!u5Aa~GLGLG|
zN5lGH5#fK!_srF}L5|-q;DNgkGpJqp5%HP?wCS)6_Kt#RkCcRY;6_C)_9w9G_L7E<
zyHCySAe}{xUT)-fp}!*W${>V<JyLc+mVduza5$?TkqK-5c`E2*OU-vP6x!zZ#P~R0
zs1s(jnkpqSOdUx;9AvzhT;q@`d5db%KB1~u5U?XQhI6+zuL-&zM}W39ac@6TC|X1`
z+U*7IeLy;_H3<AqMMvZoC_UF$ugU;=bBy-Ruhz1-JZoEJ-?F~`q%lZ7K8=^bN0`@#
z+^?~b1{uXJJb$_b8e_j`7S$vY%K%Si@<G1~w;oRog-6GN;Juk_UFm0w7qX6<((u9z
zKN7(Io`?preK69ZHHy|F`ME(h4qE-`#@8tr5!}o-spUpyF;X#^T{YznZru$rm9>1I
zEPL^dIKlyKiWt;>?0p$%$<jBN$3s5eJyK3Ca71vuy5?EU>5yCoAQ|C>^;(}4*7X_U
z6Lv>tvhQQ=@{69q?uopPI1jYp#M&eQ$OCKKR}6zkL&}7ynaNM4l5rNl+6q#U`^PgP
z=-bY;e@>yx@qha`;Js;5W->FVTD}2O1Ukkx4IAM-^OV!vx=vu25rT0N&~JZ_nYBve
z0C5d2C6mJVp#83CWMDwVx$#aV^X3O5aKTAyk{cJrjUe19k4hqhcr8f*8hgA$0CzPM
zOI4YOH@9VgFX~f-5sK!Xv*0{Rou})ab%G*va_NNb)}Z(_^k-(c)a2WNg@WGWptZ>J
zPYwKMSAc@%d^en+qC%<SL3#SiIEZkd^@Ks2A^pt_SAa75Lxa}A0qyH#QBo_(+S1LT
z&lOh*!UL3bh};-)o=w!2_#l7@H1X~2m=>w*@W~5}lf<Te=-UuE`;u+`_ER>li0Lb%
zwO&dyy7bP9Gg5HZ{M9Kydp?_kCksYtWo&`0?K$v17XKDFqmt18a65_ufQo2ohJe+3
zs{s7~wQR~HoYNX+t6GGRF(K8X0KV0q<8;@m47$lz{IoPO`KJEgISiO|<PxyGd~kuC
z*?HPAB*@k77Q4+R1VbVq8s~$WutkX(1m8W|;8E`~Xu!?)oPC%70h9CO3hvDCcHk|L
zS<A@mP}_d|sJU<;Q(U+NE(Qg+`T=$)1fKKC?G+lby?{=y<sw49OiR6FK>ZfNO2O;%
zEQVb?hVpRWMlx|WdpujVFY37_=kYI-S&QF!S2zBYUna(ZVV6YjeW*eP*zk$F+VUz3
zV3=)~!(n<a7IN>O62z&O=xS-#Ic^7<_9y5C-#zjCydyln0ln8Ok{ZDY6hV*Cdz1!?
zA0jE;1jO$z>`s*)9_;V$r|{XmxlCZusiT)mqJ&Gs1A1@^z=qs=;xJXB_dbN|o=Kv(
zD<BNtiQ{s)*yvFoEk!Uuj@~`Fu(VWqEt6#VCZxH>g4C{Gn4O&xo97F~UJB~GwmM#k
zHF~$19gALKZfwIkUn3**$rNoHm28r0$h!^q3aJF4R@PKojAI<VwO4%AtQ3lCAv!x2
zb~Ndc1ShyIJ3q%|zhCQs)Op+Pf1KsP*J#q-K(O5-W+k6~DO6U7E%%vChTkltc|BRt
z;&|Ma(V$PJ-H^A&6}28TgaI<J?lKsYSuAfIC~}MUWDf7Zt&wyDwOZSC2+FUm1-dS#
zb9|O#0^u75ztA!8s$yu%jpLMyq?b2@n!VC|4~&G&^r7aWQ(PpIV~tur{`HxT>jSRO
ziMEV7a{Ww<pzy@VSi7fI4EPsO3VSh`OPtQ96(UI~Ly0zSNtr2aJrNqKx5h&qGJV7T
zI?ylg>}VB-DFy{8>D?K+yGJ=+*LTP+ydeOsvoX^)#Tl%if*)y20yhIDvUHrk<9Qe%
zmLx;k%eMZ2ZH1+q-}_i<kUL`<chY9VqoyO?{e1@B!MLV-e?Nr9nh&L)Adft9ShmfI
z%^2%>J=XNZo@q}C6j1LE{j!4erL<HL%Pw()&lHgDiAjm2S5#N=rBXz>*qh<<Mm0u_
z>PDE~m?+d>vKf}1?fl;MpGp7A2mSxQ{QnjBKd*qu10)y-TlDIapMYfo0`Mavp&(xJ
I($M#R0n&7#*8l(j

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/DataProfilerLogoLightThemeLong.png b/docs/0.10.3/html/_static/images/DataProfilerLogoLightThemeLong.png
new file mode 100644
index 0000000000000000000000000000000000000000..ca86fe167d7197e3bb8ccadce91aaae376f27de8
GIT binary patch
literal 177437
zcmeEuby$>LyDuOrAt0@!N=hr;C@9k1Ae}>Z4~T$(fYLo6(%sz*NF&|I(A@*W5N812
zZ@=H(XYbeZ=ee#8*UUUT&x(89egD=Pg5+hzu`oz5kdTnDB;JWBA|avoAtBwlhjtHf
zhk;87@$taGTvSwELR9pLyuFQyxur1@(z~E&wfpKyYNSFgMiIp*xL<Igc*gi5Z_yY(
z_(;D}evS9;(F<BsLT=4mz1e5M_yxiAngu>1zMq_kz*gj7U&#!jylQ!v+&!~x;gl<n
z6o-MtT~Gei84n?(BR<$m4dh%Lk+kx6DUS#{NI)qq&zz76;!qfDk?wi=zV48C_v!AJ
zd#g>uo0~`qeQGnxm6tV_x?S@0ifBk8FQ4`kF`)WCtU~gM#V|T}hV*ISiw%FlyUbRD
zPoYa}BA-liYzyzPsx4Sz%@xK-$S%E}K}Cx1SnY8@9<=iFR4sWzJoVEHwWLm&{wqqV
zDXLwuNH6j0qzC(-T3eqp2;dmd(X;xw61Q({v0AQN_IX3UcnJx+paBjP@p-kseIeX4
zJqKmL=9Se`$&MC~?#nQR%PKG909@IDlAke#pX_`!=>+FlVC`!K$t$@a$>*v+PX6{)
zyzedsOFpIE>n)b0z)lfMY`gE}PgqoY2Kv8>9XtuByPM4N96|$dA`T+JmC#HiT~fkZ
zyl)ql)bn#=>~Ptli2=rC?2RD~xXM&-CoR9q6-!FG_ks}VvnG>7sGmBq0o5CC#m{f=
zl|9FGSiEPv)GelR?)<Rq%}_R5s23BvI7NJRbSxpmy+d$!JKp;wA~nLG$aK!*7H7=U
zjZ>K?)(<6kpZhtB1@D*m)u6puz)hGbasJBjCXv-yPL&`gdvrURklJk7t~C3JB)H0V
zLRul|`zTnPxTP<rB)qdb7%zg;4x-_9{sKM0b<f}-X7v-YVjsLPOSZd9$PylMhB)UL
z8bPR@Pwv-<pw5&hy$a<x4ki$a6hS||^9)!1!McBr+MCoz2g2BPoO0Y>(%&<y0+#$b
z9}<6fB##7S9Mv3pYLoK|cj?{bf)0`)vyW&6RF2}ly+H-pa;i?uTq^a8507L&)4s(^
zwqqA~gwt-gz)pZImlO)ec?;J_*^3)|<tkGBc8z)_f$4cPkg!L65Pe(Rg1!IprQr<n
z)KN>@-V-x&&5ro$$F^+^X_VL$D1vYi7B$i;2A8p>E(dx)R*S;u^lByfZZ=7J@H#+7
zhgb*nlrcBhTZ2+2e^OLs8N0x98w7uo>~9+e)5O#INZu}MNLO4oft!z8T)e1`?~Kf!
z+bZg@_SGE+%Uw#jGZJSTv6%3p<DA^@tquJR(-(fuSOh_t#5vfHT!JkFv?CZ<4D5cX
ziL^r`?ox>t3(N`%BFTFxaTMjmN*`CD=%>JYwQSLRQVs9ixg+eg0&aFWdnNAL%j&hl
zTj;Y3SwKpfWRUL;;S|t5e$rg!OCg|;*^D=VLKpXyZtt$|69O@x7f&dt{T$iQ$21<C
zl#xl_DQotWzsJyQUwkkBeqsw(G3M6Y`yy04D6&4F7B^dT?K@Qqm+L44BCM`hXSk?O
zpE`c@jeDm0Ne~k3`plC0QILqiS21exuGjXs&%cS8JjMKiVMJ3(F&RAaO!!IQSNtCu
z-|y7;&xqH4ZTfOTA21|OHG<+KBA#X$<=2tgwI;?voE#jJiup6cj8M~W=N0K7{+inn
z$yAV#D4fk_T~E4~#G!5C5phW8%VIL=u)db=63P5~d7TLh!d`bb+ue&@cyLXBG0kA@
zESL%0CH|$f&wGmJDcFc<(>%S$c<NP8d?l8O--}-O5eX%nE#-?;+*^7oWjyDH*toJS
z!y|88WvKDu#l*i+3WTn=3qYhHc#yXcAp^`3ztb-h;?KTHOB8;8q9_m~$M7ur>)2Q5
zm#|2d$l7-{U3^B2rF6UzNv~oeq`IP)W|s_?dY0&xyn}_nDR?45S!mDM>3is>pZ7(D
zM6pN;kNRx9!}><6beMgZqcY;Y@qB}PLyDZ7oRl1xY{!R}?8c|U2Y2dUn;CZ#Xa8O^
zSY0li5K$Rb89Da4?u~~;)-d^6+R+1dT(9R1G2Rj0;g_nhY5a<@S&Sped0GY2sU8|9
zH56|K-iN1iOB9I}Dek7uy=kEE3U2fhQUetUi#KUr6<=aq2;B+r4SZGqDy;?2Z}y%k
zRtibP1M&w{5Bvi#v8o=YaCrV`epLB@MYLJHd7_^Oy!P@L2`|b1=Y!7-pP?ibq{k$r
zBp#$$By!w^TtXHzUF~t$(iCMrHJ{yl+>&A5abUK7wx7k|wv9j?3TTH>wM2H%kMA=^
zpf1kHlT4;zv|-O-!pzW2mp)r|;xapv;a;xz<d>U|tvLj2tMy!Adw1G^oZ@{tz4(2m
z2{!CadUK}w=D5aB%hXNnhQ4)1m_N3NH?5gEh%>GtY-5;^G^m)`s2<&AG9(IAY0fpM
zC~+_7D@ZSh9z$@X0B%KQrD!Q>1)ZF!$e1d%a<EjJuAG8SX-tMzBpR!kp5zIFQ><7k
zbpgPs%TT{`(S)`t>`-huav3tWFq$x@Fqfn?*{8Bf$ree4eE7+e{jh%0WY(Hg79kdc
zSc}+@!tA`FymqH_Kqp!&+7<2)E+>_B_0Jg|Yp}JG^@;dP@s2Pi@=2Zp7=4|><8;-}
ze1aR1b>SYqaOab0iU0~j0ZG9G!OH{3eF9fikN3ylJl?qX9a|i@FKllxAIvRz4F@i;
zkF9EfR6*g5-i`M2?(^2d{7p<vSl-+dZ?{mPc+khd55Tx9?JKIwT@=qd!6?|M=a1Kj
z;wY>6_twoie}4NpEiU|^6diKk3Txwm$z9XCHt0JKO0X9KM?MOmRbUYY?4WtI+N~_v
zL2Xk4YXZC4u>Bhr?%A3;XtkE?W$zvALDAYiMSVKPJ$YvJ%z<k2nMb<kH<Py&V))+-
zzp07M|I*k)t=D|N`>5$fS!X$T&>+HKtW)5VQ&4m#SNNOGu*Y>4Tgg0d9&>F&flsU8
zqTr^)UvX@l3t4vUcIb<_or1DQ?~<Zj`GUT3@S3{}Z7vlr8Fy7FB`HQdFUWDviO;FX
zu^DO|R?Tz@qvZ64o*u57tVbMWK2UsX(Gm8!5giwQOnR;RsEetmUg)PC<S59LE?$Nq
z&e5@S&ggQ<Pvc{LdH$>h<>~%8iMK8ntB0s_kq@IfqbuzL!a^eFkPl*vZ{+Mh*sHDx
z^kH@DL{Bqg<EjOFP-}O&cZJli)%UsC94sEXtl$uQC){GBCN?3Yh#`?Y%&<~o%8~{R
zJ#~nV?&8b3C#}O?p+-S9pC&?pPbl-|?cRa+tM%{aZ{3=Bs;g^Hx64P&?`M%p$I3Rb
zwHbFn9?MBSlWGJ74G{ENCL0R^F7x4Kyk%AWuU3o(%##89E(<e-ZVHFaeOdhjpev~y
zkM-^$HOwI*4%TvY9-D<Wn{SOdjKj>4v9qUKd((X(dv7A%Y=<-u6=|L4Xsde{wl;h#
zg|y+dL^#a5d8!@HHV-9bZ1;G^T4~B^v*>txz4;NW!-%CClkZt=v6UMznm@Xnr&|zT
zzhar;vb<6;Qqf(JtWu&Pv$-|Ktb3y0;CfN9QM}<r+RM!}w`Y=WySOZqmbk&KWm!0J
z?j2&((^sINMQTB2!BB-;MQGzuFX#kc-<_Nv-(j0pC|O*TUGMML396g2xUc}YB<{Xf
z4IF#ES$kr%Q&Z0EX`|Gjbus4E>qQ7}@m{{12mUx)IP;CWQ*eLs{wA>e%C7BcN7})?
z@A_{=ZPKet%APmmEbhg%74-S`1$vXfhWn|;#B;+*D0Q4ayIU@l_%70P!ZnSU1?lYN
z1T2$h+~G^7k!sT&6&0XhUZ<7SA0WAul_Vi=+O^)VWyq#DAVUy9VArE@;lqHxXw&Jr
zefDfs!@{?DaHiB{Yy$sV7qU7sdsut)9;2}CvW_5-c}KJJIBJvI#%OM>{&_v@NVTPa
zxQXa$3g|IM-kN++cjm&l8$X{1>w{H!B{wFE?*`5{?LAp<*$(^=I6(27!fQ?QH14wc
zAZRplDl0`U+)><F_spwxS7*Rz;LM}@lI_&6%^_=5`10}Ds{h=6gAVHw>%B|OgQ274
zezmzGO*r1!P6LbQ>{aG@!TPk$?!>NalbpxZci`0hp}^eme#%5)uxBm1JP+HG#U9v3
z9@4%036Xc2b@`D~v+gukqweD1a|nVG9?F1n-~JNTm(k6p)kWG^_+DG+poKJn6DXQp
zOM{%7=Wb6g(oi1|5JSNGK7~Y!V`Bf|9QK3yawMOT2hHNJW|6B7U*GUzaj-S=;7gTZ
zK<+0r4?pJI_rx=roOTqa!5m&|#Jt{ucT`a4er>{Z#YsQ)v;gp-h@vCLSY5(IMh1xi
zagBy_7a0%f4&n+K@r#5^f^_%h8VN}fne<=Ripcc8+n^vJ1)3wF{%)g*_`Lr4f_Nc%
z|Ngua5rA|b@fRNA^)VIYuh!^&sdxUmzH?ptAiYu&m5@MuDjC`v8(TY=**J=TjXof5
zpxeIFa6m#LqPcz{ODIzBAt9kSm@BJ0s>?|88QNH}=o{G>7_+!q*<O!>B;d-2xU@2M
z)PLe?Wohle=PLN@rUf73`uaBOvnMxA907vQ)MezKh}zg2KjCEIU}1YEgz@Cb69Ic8
z6Fx<;x4*k1{t|p<=ICh4$I9yB;=<y>&SGP4%KCzrmzS08CF{$V%!n4u4sO<t`mW5@
z4pg^;{56i4v4f$#xvitQjrEi3arF&soE!z8J-eRhUq82W8oQeR$4u4^zn6trAnWxL
z))y>ntpB%ej^-x+O}FbOx7}{mbvvEF^<aD|4#xJPHda=~){a8|!Eu3`nf~qJf6#f`
zQQq9u*iv209MRJOu_hsIF1Fvj{_~UnYfp{8_2lOGd(Xc;`CHHHCGg4Fn<MDdzviLP
z3jx;ua_>L4S2T98v2?m_u3~NODD?7om;ZG8cP|0fYq9)IOt(64a~GimLKp(9|57L+
zjCnaQLcc|jB*b1RyCQGRqWh4m#GhPw)J4)_K1J91@D8u?As5y|g(nZSMO4MfsqV$%
z-hbQ@{aAkCVqlHG@fXseiz5NSpxRH|ryqQR-w`}RLks5XufFrlq#gM!l-c*l3pk*W
zD?2+)&Nu6HVnZW0?!1wdJD{@xEy$8nVR(S{#0LrGf8YL>2mh-F|7!;SzqtaD`xwgn
zwjjyr49x<QPU7&NGFPXa!iBQQd=-2g9LmWY<`E$+EiD_OID#B{i_Dc1-wxK&!?De>
zJF+c`*Xcl>L(Elfq+^9TT5%^*d84K&ZYED;1NVJmGD2p~X%j6W(Dg}EP=%8<DgP-?
zgZIT5vapuZa{d?QGP{cd9^EFP<Zxq-%9h+5Y#f|AE=YZ-ReV9&Ym(fRh$sirsd{F$
z3qsP(NBI=oR?{C33iJD>Yl}l=OsvobW9p8>1)&qof+sUdvtB2&1=2IDtNNH6)%H^r
z$W}@vonql7fbpV!3P2STh3E`1BVZfs4ymu8j8WUzaPTi62Mh!lkph4shn2ue0e6iT
zRXRF4l{4FAi9dkVe65x<{iEhR8&gu#KLBV-R28vArN{gFp~l<QizOMx+i{DYJdHf0
z;Z<y59U5s0v~TkOQ4s4AsIfXckub<<B)kkIVeoQ^l$vp9aTL1qs-m`_kmsY@l@CCF
zNVbwGro!1Exumh0<#U;p@@{c-sAz2gvsC3k<xhyF<$Pt8y{dSA-VV>~+4q#*ry48T
z5w*(T;tKKxgK29aYt!v^^XaT&$~NfP_~k^s;9D%Gc4G!ZV}SdB)3ye=U9uIxX~LZ`
zmPu}Pw!9+mX-vhpHutNX^^49a=dUCBo3o|zER3YFomN()(?Tp&$s>)mZWp$j%46G!
z<bHDlvxa&-mi)<>GbLcY{LfazjBx^P2YX6#f-1vqoy@}?S9|z!0t#g%(Jyq#n>e)+
zxvZx4{BVTSryYl7lH+T7Qv^NKtsYF<6>3!#R!&>j)i@V4EZO~Jy7NcQ;q#j(0|bwy
z*0Gt>ll=Ou8;-}4z0Zb0JMci^^92>jdd=Du9AKQ?`0j4u%t;nJil_9F7drDON^9Zm
zdigvP)6dVK?$u$7kj;aaFlEhJ9`f#L1-@;mWzN$aPoaX0Y8KW=xr~gE;k3`B8N=l^
zC^e~w_DWz#ZN0QmbPS7Z;7jW$S-7GbmNx@P4)DCNr)NpYd>!IQzxZ~YV>?lVWi9If
zrd;yx<1{M2_q(1}Gx*=8m4VZK!8}9EtHShe<CL>TkN?Vo)Z<++IIQ*;^n!$et}P$#
z&c}1x%rVGZnT_kXT#UBdr#xS!#x0#7bNHj&VlWv+G9quzX<X;9pMSUhgxu*!0jL}<
z&=~u4UMm9RtYO=@`jp(bwD&lBX{ErAO)HD~qoo&Lfg`%ptLP%eF~gq2+8Ms70W#8p
zZ-&+ZP23V7hjoqt;rGD$tM-%7uN^QC^xdWdiGJbXEID15qo3kH=#0a_tnO;hQyAMH
zg+7rgjC_qUlMUD^2)GrZdkzr>FMZ<~d$EkJMMd3ayjj6APfM%QZl@@&2x7Ex>Uf8@
zeNY==Wj-%Rls>uClkP!A7jSAiV44E#0u=33L<`48tjg-dZ&la~JTK^}3L2>6k=^(O
z>pWx?xbMDjd=e2`Z?x=B{QeY0if4E1P#7Ni2RVw!Jo?(}tIy${OH`Coo`-#rA7cet
zXlPs7OMFT{hSyiIfF4ECh-6E1ZR43ow8y_TkV!C7N($R<cV6USIWZjFjBquZ7kGK-
zNCK?cJMVeVU4MzO>#z=&<Rfo@l=6i2T*RGF&H=YQ*XDIACk#U1jx1gk{W+0G=XxSY
z$fyth>CIP`V9@`f%QV?(%shrE>jG0j2Jf@MHwCiQE@U^iCY^dhGii!!U16x()Bt|{
zHxIH!;i<!rRo%-oayWq5Ix@`dV*e~;m;2ao4%l&aneMO=xtiqAue(OZpE^$UXGZGy
z!G~o@t?6vEsL}KC{H~k@FoL><!>xnv9f7-=y<qKV>|?jaVjbxpA=9RUI<W7b1tc;W
zS)_hR#DKSljnk!xD?^MS&~i%c{Z-h&Cg=ndM;2Q@UV9=v2gF?c>U#NUH4^LdqVwVE
zK+|q%4~xeux}=lI`~S=vWYjZFy}kraB^<Zqr?Hq%H#PcY>cmPFBC@%nn7&vNZ|*w<
zihZuN(s}txU*kOsZBe^jWw`%=T~k{eG(;jiUS%hNcjHB;?m%Mij}*}wCC@pq-HIyx
zz#*$c$;m^6C0s%P^a7OUhg3kFjDc8huPff8K~Z6slUWzJuXq29cjcPDhC!D{6vLS^
z9-7-GL82w%WK~QO-q~{2^ie$#pGfejNbtf8zNsp5Z!c2fk7EqvE%CM<vI4^<HZy*;
zZx%gW7;gfG&Hz%XFn3j;bDeO?-KzyoWmg?e*oEoY(Rw(@W2dHW1J?OxsYt=Y;^`6!
zhu#;RV6hC#B<gT8;n&Y3bv}e?rO+jf(4}%vlN+H6x_N2L+UbxDd&ksAJns5#W)XHO
zPMHFv5~PFxWCkLSDx&K%lXbO;JL@ms9zl+YL2`DzaJl$h;htDl;h+6oxsk|!pxel(
z2{d~PI6zmu-G&n(wd1<))g0^Dab$|*Pc;DFQ48bV;dYp#$VTiDZiX37b<U^U5xClN
z`xW^mxCrY#@J;y9G2R@Y)kEEr)efQErADjg$Ar43FrI|{v(3-r^Y1;jk9leOvDWPL
z|H;a3i1jVKt6HedTRkkxuVWB|cUhS;@DpEUC_NrZBh_J6y=<ZLO|rytqEK@y`4hD7
z&J`B)W5*$@M<1cC5)9DAyn4+2EppN*$ff?u=xzO#%L>e<licNeXS-@%NMk_j-k<36
zLwc!Z_mWAgs@XzSuS=qjF=px6yXM&m)W3|-=~(nxBu0XaXLxi|VyfJS+{Ue?>&v!Z
z4>r;ex{H=I&kJ}GfP`U(Oj6~GuvkHtUZ!KnvD(q6f#=*S7l9}9*n(GEmD7b)8`^>r
z14@5JPF%JRORE|}-{(U}+&_f`agAX{N{MviSC3>$y_bxvo+<s_nW;`oninQuM<-#A
zu|4ShvwbFs_)_4?^}^q%3j+9f0ul&{I?>fQYJrKbZfrXBQ;aP3{h6-f<MN!XrC&)*
zn+8b;Dde#{rlRiBs0k2@HqzN5>>D*T7G08XNgpTe8T7tX7wdHVe048H)TzpH8AgoH
z%56k6=HD)GW5phJXN~w-Zda3ofE<>bGKp2;<T5qQ(mD$KKVpOX>(u3j&LsQp=i<Nx
zOkJL;RMS|<c1Ktx+tmV{mBMVsnI)I>(q<W_>hLE&_gH|ob%>d8+R0l5hLdAQJGbw>
z<E8+T&^EktakkPo2+mwi0@?)y&mE|Rln%yYfw<u1`pXaEf}eB+AaZlSm-#cDM1r00
z0UPhb=~<8~Bq-3PW;sUd5G(%mA4QB8==s_;_9=LRj&5_}ZQBZ)W9ypUs$ABFivimP
zUX=}b=^Hle7Cn)CI^<oRqJmDFW|UV)Zp2xnDck~AGn>j?I`x+`9%#G5lOCoADcx`z
zPp{LH(SVb$?cHO>0Sgxy_;Wx<?0GeK%b$o*WE^v?))R1VcFJm~H=cc50J@g$z+Bd`
zjNCrPj3w)a8bkBY`!pE?oL@crvHzum<)@IvkD!4V6aRBAeK-B6UUl=SPS7f4k?=|7
z!#UC|ucxvWy>Oh}rX(OkbUeFh!Nq8icMa??<)of&o2K=TNUFkkP;SwQ!)G=rPFeAh
zS4zxo-6p~ILJ0=rc=~iFk|y`GmyppS$jREUDxPtX@vuv%a-;~F2pAh*S2}u~R-aE;
ziBk9l4|=ZZ&tNt$|BV-+?+}Nl_3Ew{yq~rNLr*|^?St=ZvM&XrPjpYpvw;PU>#)_Y
z;uLdBafV?v$`X6)WrDz&Ka{8Tuj|B1#UVyC?Eyw?ut_|Dw-8GaWnNNYw@tOQHfStk
z-I8A`rC-Z!3MahHVFCgY4u>3CmcJNiI(JHFoO8X{zl;>3biLY+KOCSFhIRQJvI{8v
zNtWpd5*hXgQ3&U_Q)be4woMf-P-@t1h^3VodTeA;!&#A=QL7Oaq-7Kderox}h8wbB
zna0YkX+94m*(Sa90sEKfCz5kO-m6okR)-XzX@3H2q76r|-mOB@i;I8#rSG4lXvF9b
zxIA=so31X?ZEDvuBlF3n^hvEAdFfmv7zxE69S7XS>cIqv&-g2FDNLSmc6q+kFiS(|
z4)b>S6E=)^$+04dmB_9SwrvNkQ@ENomNcx&x*9J*(nOkO>hIMP)sm${OM@gwZd$#@
zydEo3^{@*unD5^Pvzjw|$=OZIpwL7cFGq{X%)!K(FQeH<Cq5~5cVnFTu*)dTKVaFv
z!Y#dPgg!A_?1na`^1<TzVlHz|5ScMPVYY5$FI}WR5lIa3*h(m^Qo7|gykkHF%&2tm
z^)+qZM?LMMWRz3AW&VRW?u7q=IB)OmVF0(=FW>tV=Rd=}9kt$L{+V3EMJ@>U6;HGq
zdSytajMnx|#{|oQiY5}2uB^cdX??}r%u-pH{v;*_U4sBkZA#)!SZx5QYMyp2Q*wXq
zBfDoY-@V2GS{%Vlc0wBg%UF3TEIKi=T7>YOI-BJWm@L_rd|tx_uco_akE`Z%2RL0K
zRpuiT3anf&HDUuQC$2uxSo$VX^p91)xeRntP@mvM1b5-*!2`e)M9y_ImwNJOv#U7&
z1SC%BR&I|7qSSV#%l&mb*)zbaI~Jl=;HunKk0|B`n8E4lQ=!8$L+h{8*x20;mbz_#
z@addso2H9lsshu;e^P;ZG43He$0}!ZZjVVRyl|@G9QT_A3>B*<T5qs8-y818uk%Z;
zyVHs@(`)zThmw;m?5p%JzFg>pVK{ldm&r|H@eXy1YmIxxwoR8+r&f9Qq=5gb0Y1Ac
z^kNc=7WYq55548?Xg_w7Ue|YcPve>2{}}hwL5Y=fRXR{bxNZCn24M@l<WUth-8mCY
zoNZGUr}xP_O^^w~iVDE^PFEhrb@rm?h)grkS97+J2dqI<;WQFU&J>pYFq;k&_OYD4
zuJm18z(3X+h;i1~eFwauW$;YFmi0Z%E~|9f9~nUoEE+7djqBflI;F9B?995{GVq@)
zpYfZl_l4KLM>0J(d<AOo<k7ySLK|glb7snPtnsRi@>1UF;Cq+bfp+BF6>I%oYiuY$
zd=l*s@<QMD1QRyvL%SQ*o;chKL^(o1%tx+^EWbMEY#`MvU5wVcu@6kEv@5=|#-6Hx
z(7yC_@*%_%%k$IfGAr46YH`d#k+o5XhZaFlYCMYj?#v1Qd_y6Z!&rW1<JGkr5jJ13
zljr^u_0XZRMd+WUYG{zfF}h8cr<aZCq-V_OO61zPy_9!|gwu<sEd8DK-fpUL()m(T
z1O{V=vYP!driU8*CGSaxz4OlV?u<?$ATcjcgpi3#Ut|jT8$=N2lNQ-c<DW&;o10m(
z$qC6P<sm{rEWE^1rTZyYxud>Q37i0~-C|Kwmp>7jSwnND5VWL8K5z2P*_MH)HWA*2
z=VK|y5Onin2^)R4g!asJbzMZosO^?m4$?A`)%hiCKJ<O+F0u9=KaGd9%>{cb5kgUY
z=kNwS)}e?>J+}1FZp%$Ye0`vSCJ88fxgXBD%gh;e?@xqhhel?<_H_O*NRx`XVg0q2
zDBd`I&xm8+ydnp!5A1vG*T|(-J}J~6c$;SP8W|FS>FVJ}aphA$Gqdc<gQ4iFLhA76
zi>^~8=-2XTMniFz^ZJQSm-Gv7^{smmrFner<3rfVpeS~O(?=5x!~v#%3}hl#Xls!3
z!E*Cqj3B$oyRh1&f{vvs14Zr1WSUlRb`cdz73TQ>r%sdAMg4KLq0`4@bFXqr3cq`0
z=Oq#iZ<7k=x#Fu<dpXCo9U4-EBjKx~tzVxZ@{9sp*R7Jyxrz(uw9PMVzRN?<?4?Q@
zZ2>Qy=BqzQ)Kc%<wXR+WNUqRo6i;M&&Y=A{T*6#GiB=V6Wl$4Wt*Y`YNq5B~NouUK
zR-07cjn7KLv78c*`kR*B%=1e`JkGsVA2s@QgW@}&p)EWF9|n(6+=1lP2i=Uob?ZRu
z)lS=#G2hW-x(=611hA&HJu~n}*%1)KbIXv@Lo~ypOXCIP?y0MOqjeHZ<tXz2%Tjoy
z0IkpRW*Ifo)Go<Yjl=4g_dz7cvmcM|?2xccf$D}WgYd2TJJ=J#)LrW{8W7lcGF;2y
zQTc~I5!EU>nahkFF`y{oy(LNHw58XJ*YV|9)k_B6F%O76k^vKQ8;4HqrFLYo#M9{)
z-^4x6iJ8>p;m1WluSz`LBik1@$P|Z`NJC$80at{BEia;4o|)g8&GP<}`ioCVujvBn
zq3jW({iO(mO}wT;J14{`XDb!CZOI=k6R}FN*|%xGsg2`sygfRwIz8A}Wgd9-?M;Zq
z2_i>>OT=yVj=%8mM?z_Mo_aEqR!}updvsXTe<26Wd?b#z{g1lZ?0}|@GBU&KP$pKz
z@mMPHOpK4FWx2-?MT=~lu9`+dCq{s{4R7bQmtE4RO^@ieS+mW9<&s&R%!?0(7G&F-
zmJU7bg@w{-vISbD140$|DO`WKGMnDSAhVL@={YDDC~9YJv4{6+vY?XFHgTIsIEEwe
zp9vd8Mv39zW@D2d?@40$QAf=H)Ssh4Sg#6KL3Y4&-UeH%XUfNDT9b_7!u;+|V}yL*
zFScDGu1bx2EN}$R*7A-gZb8HHSHH?Y@FZcI7}v{W4jwZJhsY^g9*&@YCc#I<<E|$w
zJJpFMzK#Eebq$F-+wj~N%|xhiV*>RAxDql^DVKG4W+trpd5ay|X>fiiPUdE`os*T~
zZtelfC=WwSaa7gJTs8AD%%MoQX$5^}UmLG8dWzg-rbGhRV}JCI(m_J;dY<~d<`wyA
z97{*|1f%wvZ~uwFD(j$@7wpa1SuL|KqXtoxTx{q|oe7qhplQI?INS(nY9R7iaQN=T
z#q|cpRIStI`-xcA2iPRn;r59y|88~qzJN|EY<JFMH+k$;U{~RvpsRx<zP5l$2-r2&
zCx%)FjCoihUTrx?*HmLv(OOz;r6?zgr<LXzA!gcT+vTi?Rux?F(yhVT?Ojs(#YpxV
z!R#WBg9r8%0@}Bm9hMVrFa)Id-&$z#Q{VZE9cy4pp~r5@8ca^G&#E%bS>q3M#79I9
zW5yf49qFV;DlH9oSFH#uSL3eoQVi5J?b4D!QJbNy`K3!A%WNb4IsJm#_h&rU_>~{!
z`L9LE%%tf^IaloKOlIx1FaJ(GyOcHS;kn0v;7RY!Yi#Goe-e0t(CK+CvM*6QpT_sO
zyY%2q89dW|8MX=Gkw_U%8P!=DSS@?MXz)^J>kUg{xUqSY%H^m<g>ygeszB;0sssVP
zhein}!b0V9o0BDmk{DQ^eB8c=MH{oVBjgz`|HOOLzS2A17*#3<Y1k(w%Ca`oNm#y!
zX9-($HXqWl)8RaNr<UKOo>?6RUH*CR3bD)fI{^1u<#zhq;AN?Ps5=-E4#%qlK`B7s
z6@1=i`2Rs4I00kQDpFWMn${ZcGJ9Bt^5{ydXJTN}nL^@nwh}n@c3Py|GxilM3i;|>
z)MG!rmCgeL0xTHS-k(uQ#+9K;-e4iV*!b0pg>?xBmqjTnm7B$)#($K8JW|lpYtLBJ
z&Zg*yx*{5aC<kVirfrN@f99+zHW}Z#_*MI*jEt`*-XY{720C0B;y2*mvkFn}vmqcE
zxtF$Kq@)(!XIe1iy;PPj3U0s1k^`yMY~<!OHhID}PkwG|fci=FP_C6A)etqeZ8E;N
z`~=9qAU8Dl;(k}ypV&(=vae#~%DsE{m@XIq{ShTc^H`jHOMr9x<A=nm7DkMQ$XfZf
zA^8z(6P_tz#2C{bs*_1OA2W~TR&#E1j|0c@HKGB9I>*Ot*!)`=l5rliLMESYa(h0h
zX1bEVvh?Jah7;CP2L4**UsvakH^(D6OauPptOz-)yv5K=8;-E0hJ%noAFbo)EK5E7
zDX7%V<(1IUL(?~g&WVi14b8^jQFs!go_{%y*3Rmoy>|*!YggE`e=K@5PYt-xd<WY#
z6mMlLP&@$lI?5pSc_+*{po5w#Ftvuh2##^zaPGQ4NR|fa5!58jBFyD;mGegA^y_Jj
zU3-bg<ME;0tHirrF-cdCxuoAt+H-%U9fi$}Xb+czJ}pNY!&&2mn+`5^=Z^+Lh*`Z8
z@m2y3W8!Y$sx@ik<R@*srM-u&f_+Xa>3#2?{&N<>ff1F!v1&cAfj1d3lF!uE$4%i;
zRZ^3$JPY=yO8^xp)db8fW6TaMZ|236io<g(_t>n2qt=^xTHi#ITGuZeCA-YQE+peH
z!woEhUfeLm6l3BsS5lIcz!hTaS#GCy(YWYOa%=i)N>1AG<sO{Q0W4~dwSJ7-&rW3j
zwDp?HQiVN^ZC<7=>p9VQHTrAAwvKeO8!D*19PSkGnx&?{;M;`>oK>UryZx}tys-Y|
zIgFA<pT)!A2J~?B^+~33DrJJ5=e5IHSa@8WasR}}N#;m6ID3rsDvvLEStK5lWId%G
zfPF3asYqJ$I_BAGU_DB-E#?K@{E2oFw*Tg)H1}9#qwJIm)3GZ4p736(A48s6(Pd9T
z<<v&&-aEEi0pa;3B%f`guFFO&Cj$W$BnUBeIrz+q{bLS$rjt7Iy#|57)v_#>&TuCF
zF!99Ds?_^l=a&1<8P-U`?TD%JwIIl;J+Q!f&ZI(PW=O_}y~I*o1djWHGK8L;0(_O7
z9+s=^aa_Tg_`<Mb{NOjlxklt`;Z$v>*1317J42tM)TY?C0nLvLHjWehN1_leg8i<f
zOu}%%WNys3N$il0MZ&Q)(MnmH%ZdD`JL6J-Enw`+cjM_AiRhkS^_sZNmC77=+6R57
zv6RHDi(V@HM4zi*LPiE%_|!Nwp3iV&BVUO2MpbGhQ%T$@D%i95)nXhkM@^9;R%$om
zoBOYef&V#oxL~|C@<=(M_03@wSJ0m7JC7dx>80eN{Vu!FFTKV+ZAPxjulckmp3GQ|
z7GdUDb`)V_nl(9IMal}S$A_>sx@M)NrGY-)|83pG7)z@Y_5)3l38Y(p79LY^u9>1$
z=Uh;mF#M1m67ij@iAT<&4CZ+JF7fo(F4Rh2^d(4Ug|jB7T0obq@)}%uU9e8;&8NB&
zd~6KAF0AoaQ#^LgEh^mAl=VJeFL^Kng|8-KwbnI8DmHZWymMQl?g-XweO(3o&;0PZ
zaWfIQtvYIL87_5qwX3%in_g40^bx<U71XxR5NdMW-8rgl38bE9feI7btV_bNtv_5s
zo0GhtlUEKa@uvO5qVOy%p-1^QYPyDj%s+7EVAZucuW4nkhEyE+KhJ;j)QgoZM;duH
zf!QR_-@-{l$fQLBMJ-8!cJ`&(TjJdcA;uILbN1*W3%F-N(cG*7OXVYO$2`dAj!B~-
zvzHR^pV@1=qoObbrrNZ+-AUOLh_^y<0y)2>$JzJGY+>6Y*hQ0V;p`_w2|zfLQZWr8
z+Y<f<&LEgdhmry1;O5~`&t~04@8@u`6QZuph|~|&qCA|oj3?bPXpmVNKfX9P%CZ_M
zPGc2;JINa!QIe44YTI|wT;+VMc|+Zs5g>gng;~~z@Q)Q#`&k386Ox3R?UE4ot(g;a
zI?LLJ`v+0eF;^sqxH?+TcsANUZ*Su<i}T&p7?@Ue2dHteMx7^YGfulyTYJ^S6B*Dk
zT965`D6os16xa^$1R^#jqkCBDwpMQ9r8^HO$3rac8u@s*X78KOLmy7p!&AtgjUdRW
zKQ*g{@2$yy3zVI`*25=X)&?I&x~62BGGsDjj)c+yE;Ycz!4*#}&t8E2f`#c8;T&GE
z5IKy$_H*bJQqRBh>X@Cx{^Cq)nN=Q@V+iVxX^$`NC-OI*%z#_A79EzInV&?J^|k#N
z>)4nnugHJv={AqOop=AK+<wwcf$h0SI)Az{lp&>CuoQSa7X`Xe8$lYjnWV!a>!0s8
zOoLNiuIl}_VZ{Aa^QEgN06Z7$MIc4MDz9FuU3OVK6R~pn#xCZ=Upu6d1oX!!Cy26O
zW?MrvEM{6J5h`KX^<ImWyL&0v+{!u>4`PuvT^&cdT3NoV+WfNVweeVwcHGhC>pLZH
z)r2_I=!s)g%$iz&J2Sk|HaZS{#3!2dr#v*h&ogf4NF~0zrMx*1>3lFEKLm4eb*&y5
zAn;y2{qJiok!jSekfX`q*yryv)H5e!aU1o<3I5veb}YD73IuGmA^c=5OV0BUe+N?E
z^m;edU?@=yGj@m5LfRd(p~HAOS4b+ZOjR59YiBIbzw!rn-ZSskg8q$SuMlPp{ifF4
zB2a$_R2+^;#FVY=vCT=TRc-t8xnx`q&b;fR8=ksLHuuMP)1RDYX?=)2i+{F5V~9G%
z#P%J!&H6@neC1-TYNeoaF^fQso&x8^P&sp1v6kB2V^y@jrCp0e6R))zHA@bw0eWpF
z7!$i_(3*K~xp#{aebc+B&X{#q7>1Wmv>)Df!N)5u`dOu@9x<a!AM@OV{!Blv&`&@_
zU*bc-qph)WVHNGk;11e}j+LoPG%y8zzG;4<aPEh3Mr-oTdr>!`X~NZ4k=0iCu$R3s
ztL8i+x=?4m$*a^>t)%s1Vx?D~YI~lx{wuz2jOlyk##|um{mOjJ7_0OkNBk)lipSvs
zMBAm=r52;PR~56)(_T>@YmQ*;9M_IE5oL$$VSk|W$IGNIDXwkny!;v;6}!0J#K-CN
zZ)=3G^d5imq3LUo-}j~9O?fZypzaCu6NCk9L+C=i&o6To{x5AqFxGb!uQ(*NlOEfx
z@I(HtIx?KLEn@95TOA)l5eh6Q4%vtDx0U^6NpJCsH&^)S=h9ru45Z#PVGTPr-)GP~
z_R6LS@Y48+CE>tc0V-0dfBQ3d;XUWUmk-}-RLzF(Au4TzmPj~A)(+7)0aa$bMX_97
zjoyXXW(Ydt60dmeT2oEbg*rXeT{g68Wa*o<(wu#`;g~MZkgWQ6>O?yo#yaT%>K>gx
z8{=Q;jd$=CF}}%N2NzMCb1geyYA#TUEjvDJ90Zc8)O=~yY5lc?TC6s9lhaU_2`t7}
zr|w(_3B-^pH~c&L?mLHDTqKb1lH~t%h$;kVdC1OOK9BC5e;Ndl^)I+>x@P0+S`~B>
z)Pnbo$?o%CCVD24ijG)}g~O!9i>AI6LYDEqi-&oXbs(X6X8F$Jl6T&uDj>$#{BWEw
zt)*DF35N_kjE9}H<to(=JJ<7KQ&(3AFqYr*457c*{1<vSXg-w8DJ67;{a|odn^M4o
zM+~)Ara8iGoAm=TRLXhIdfte*s}M(jc#P`b&zT%$ikurJ`Z>80aj6$MG^u$?*;PP@
zz>Bxy^1Z}!O~F1f0`n6p!8ZqaHGfyF#kxdNq$59Pe02P(=6>bwMAYlVjN`dDc}JO)
zGM+SMGuph-dE=evIV1-I9Y>!L&GJpnr(P+DldIG~rvSRLtw})def(?Z&FJf@$P7E@
zKi?`l;uu$xqsAukEhH+Qqr+D8RJZeMwRW;CXtm}qDKfzSPlQ+cIMEkJLIi_t7<Ux3
z3tjVC@#ue>xmL4#q(=pWKUj%?x)<H|mg~OW`1G9SI|%5U{8Nsl-AvpI;-WD)_QHdi
ztUB}8h|_#54zl3Q&F<C1+VhUdF|6q&9LvT~r+22Jl`53wO$OlL?hM^J$F7kar2<o|
z+uBx$z^nsS#K)s<v0LGFT5S6RVObQ&@KC)>h&)*Mxp%61diA?~d$7@eq5a~0aSfy*
zc!1G6t#}?i=DB1;z_+to@~2pfL!B3-{bxe~RnT2*kH3<iZ9Mv8VxeOW(<bd&?JA=s
zB4c64JbB%B=GL6T(X0~qOO}|%B{gDPGMYah=?|%P)Rw<1W3UueS65#hH`8g9X{rE1
zg6Ob;2wYj0$IGmC_CxS3NFaAN!R|6|)B+)ZtN}V~QeO)E;`#7O#rik;4Kn9}5DqZ*
zU)FmYn$~c9HTb0A$$HTcXRt(Y0pYE;n`JF-z+PAkK4CbOt%Fm_h27@XzUb)JCC^?P
z4*cx(P6Fj~r#|B%7y;LEzRK&uBqBfuQJol9(;RsyZ6q(yM>U?Xssz;AQDRA^#Y=il
zuevf01;DdF-e*dyh$75cDO0+pZFBEhc|=kv?{3XZd_F8XSb=>=qXfy5v7<CF>j|2%
zC{E~7TuJX^fpr<SpoM?)-v|N0QAGLL8wfy(=i2)N!EV1beFwi7FyX-<ROIS)vMuCs
zla3-d-}jK7-<-uHn+BfSb9knUHECT4;;u6&Y6;y6{I;?>V=uf*w{1$lLo@+}4&Zo`
z!NU%hA+_?<%40>_TB|@)kQ3C;G|8^xkkiXXS^qZ41)(^{IIc>;)95$PrG~VDLLeRs
z)U$VbO5~dg!O_9G&-+#D<^TOGL<6gyZkBrZ2r#c&W&i12!GT+?Uc*E7psboM_LeQl
zmx9LsRbu%Pp<Q!)DN=4jG*HLih76LdwCE0Z9AaztCxLgJvKJOJZyk8g1?b|h%t|-1
z6f{vzQ<9P8YumQK0J4I|BX=cDT-lEGt`S9%RN=cr>=v{Si7mG176+<ZC9O}-d$u*$
zWe_z?YSrDXldNrmECy?3?e7yh|CQ({%k<OxU>w32F>a;Xr-PFyhZP>cB3A{|U0RR7
zV88;RYvbJSq_oMGYkIpP*tWjcdVDg$ubt#_ztFR)nD0AS10`uztiR~faeGOV4`}=`
zm%WOy@LBl<qLAsP(XCk`?xX~szozLGjB#VTIR-E|jv^y)W$!W8=xt)Rhjx_FY{Iuu
zMbG56gCBhNKWVfVavin-`lGQs$1=g=zx@az6u4suzHedH;6L2g|6Sdi<%t+ZOrtuR
zZckM-HpanBp4)c2<oRorX^xI+YMZ0mk$4Iv(Vp8^jd*`Fh<UksFSIqPV<7^lsFLJp
zT=rOI!r5!=60vo}pr+$Aiu1ne+{uGcf5#l>hup1i-71d*sa>oOT{%i^i}M6pZ^2?y
zR$QH*`iM|sS{51tt04D-aTu#*A|Kv*i{BP`2N`~+RgeIrmQ)m%cY6|ajm&p_D!Pqu
zcQ;ALK<>7kNNObNb=lVB?KP?cki%O%_Y^SF`5=ck0Z|0P-V3++yK_S^RfJ+nOLWab
zW|Zj-NjoIw-_OufkAtIC3p=Mlf*#Jsqq!>cd|SnB*vhRlwaVe<x0FL34^f}5D+n*X
zCJl60=|}-ON!hw5EUqKADK41wc2k{wd##V{5+O$Z$726}xDcV;Rc03eunR%a&PCfY
z+V$39A#PljV1=+_(hR3ZZ`kjOSVZc&=p=pg2<^GKMvSKDkXEmTRMCK`I9btjAmeeN
zw5p1`(wJq4ZL%<96dlsXXUD`B9yJ%&+a{%FXPZ~sK6kKrG|?S49cVId8M22W!+$kq
zLEX1ceVuPH5W+7kd?94u0*pE@Ku(iGj?iBfz)j>|6Y!nboFOg;fK)9f-Rgc&Tw_mO
zG<xWLtZGc_dFd;9zsnB2bX3U(pLDG<*cpV-Z8};2R8VZlIZv0YWd-(<Ogcu5wNako
zsCy15NwJ(ZvZJgN240?b%W%&g1rf8nKPRH;#iApTzFqbg^atGQ=XnE2k)?0rZpbLc
zG^u0gS3#JZ>VGjg2@)HneC3H<)LXB&jXNRR*O)FSGtBV2QgjTt&bJXzZB$|A6(?xN
zqz3R}zfUK9TskS-_yL1VR9VWea~YMk0+quJ<uaOn@YAB%S^H7d>Nl`^Zs-LV?2}M^
z%7RL38{p5v5QcHYsmOVos##}KdVLoDc6#umYo~$aOD|8}FNbfOauvlPF6V$7e+`;_
z!L-cnA`Aux4-?EQ-)!F~Gz$sKD3xzGM0q{b&T^If*J}FkA1RLZ5XA7DRAJOvG2YY)
zBAcitc{x-BbybBDn!k^(`C1bo9EbJLcZm)2Lf02_bS>sNbuU3hWn^4E_73K@Faw)4
zwX^zKBYsAcE*nI8Wf{eaCbJqnnb|ORDI^u6+~{;XO4lFHzRFG!ep`>BeP+?ilG&WC
z*g7nVsMK;QaXIoc#JWzJ<58fO)q#*_;477LN-))p3(+IS^^_=a38AM@<_D>GroP$!
z`QVn(2&H#fE}6e0RCFp1_76UX_?z6CYy$0`!035L=BO<AH>xnmjsgwQGH*lp1?@oV
zS_&JrrP(4Mn2j$is-Tj0Tr{ae16Dj^3`StKi%E>B(Un37%ytvlSN=`Iiy@JCAWK_N
zRc$SbnbD?arrWWt-|8k&)IOQrr4VgR5;VJ21w-88Lv8kcU~VO%UNht+>b|bnb!dxg
zpeKkdiXOUM>SgNk_p({f6J^?>EIgo?V(mBOjBFaC18Q57GbY*OH*!Wsb$^vQf;q!(
z+D~RnyeQK_`}R@3OQI#3v4N?*+d%?rWK=I#Nswht;=9PH{MDqmQ`HIT#Pw)sxWK`W
z?p&2T?08N<jMIMqZI;vg=&oa?W$U%i>-Zt}0+ArPAlJQfPK8K<yD;F-V*g5@Z;aPn
ztNGGr#fHF?@svEZiV_fpjf^^la3v-cyYEYTy0+(Opnsuzd@9$-VjtHu)6#dE9CIg1
z34>j(dlAvOb*?sQhh<I-<AZhD=Slcgn2Wi`WUEtBl{+oa`C@}N%fXC=>MxDEqjsG)
z@Ix+c0ZwIPe(``vLxJ$A{6vZ?Se0sCw0qBq?5JVWwdO~lRw@WOCys>>I!NY5THN}X
z+qxmu;jW4K_}n)hr4|?ZWH?WWDMG6*P-3#{^WivtRKJT0U)AgI&28B6V16{QuwHA|
z4v}DQzLgEcD;$9He>-~|E3*0@ATb&PJ{Jz{0s~NeP26INC@|!*Vd^r74)I?`_QAxg
zWF#bKcFlUXNPY8Lv<a9Bos`P~)9!iR_ZmfECCheX1p<U5*HnGYr}ovJH|9^IY2kdh
zc>5RUu2=K|Q+-#w^Z8}fhh2q^-nXw12CmnO;>TbP%&s=-)slbsTNTbUQ%7`r9RZc~
zLOS6tFu>V*VNc)^uW%`+rUjMS55=YPU)>$%RfDYiUi0ni@~Msej)qp7n_J0HIsWbP
zEX4OtX58!>snBk5WD$f9wSXq)CqJ2$D6K!-ZEhBECz{Ll`o?x`i=8OWbz{aDQb``K
zDEV#I{szw-g)|fK4dN4ArT!?&I_ml9kc4<B;&3-#ZQu^U3`Si||H$>$E#lq)TGW|T
zd_;|QEa#+(!*95`*@ai_qw?3SgNED#Kdo#DE&R<-iKBhf`CK7dwLzA&F<6+j*<PZ8
zoB3rF0*Jc23V)w+@hAH&!}JXA=8i6O$T$Y~_LnT)Bp+{8W3KJYkf2zLeLL?o!eIST
zRobIl7ja9qV^MR=)NzwSeU%4}ub?=B^L&bW?AxR7$!kohcB6Fay;Wbd#zLuVniX#&
z?L&ICW|qMyF8VY;^TE{C1DhOk&T)Kg=f`tZi#ut#$7xB?<sP+TThAKCYNEKfHL8;H
z*haLPI&&HGokLF);eLL8(F2|<?0_)g%hTCqxcWsJd-x4Ynmf>xMOh1sLBJZp%?<&K
zsB4Ig1a&Js9;$q<3!Z=8nD%d9Gx41xjLQ?{SJ<Zv-gG}<<GtS2OwB+U9+?Vbwz6vr
zout_eB%D{9Nv+n}*ZU+4IR659?vLdR(5RzoQ3gK%OZy)unN~sP#9DNId~Ck;0V0zq
z8MJ-ot4uC^7e_UAP>m;)rR`kI-Q%ZA)wx{7#@23)ic+nr`tfpknCue%-V*Am3asT#
zU9^eHjYk=*7Z$LCWjG=jd7E{=`h6l+kLvC@>?aq)$$8#k)P>^hu@yFNWVo@3DL9J&
z>c2+(yN3C#M}u`J{A+_k--^XP2_Nm~+Z$c0OAjj3Lhqc`H17n>CY(T5RlA^CX8${+
zCg7MsZ~Ox@Q%Pa6X!XPSQXMlV4`zNgl3Qot>FfK_MS-~YLS`0{)5ij*7F`o($sF^4
zz^|+KUFLknP9~o|et`BcU`AOxh1HqVMG21hZby-}+cKfBeCv!sP6Qh<rFX{-Vfgri
zH7^7O!yLPhHWw2nv=IP%CZ~$zg*2{~@pWx+l-4Xjey9-~N$Af#B~<?F%ip~DnlU0p
zY$s;eI=qT{FC-s^g)mw(U!UV4sDS_R&{$zh#A2ahy|i7hL4^Smx&uSUtu&BOwjW;O
ziD$=~_s^Y<Y^^%2kynS;T9;F7qZ`<UwlyN9Ug<{{Vo%CwaSJR>gB`0~rN$B4{m`w+
zXqCLei!uE`a_=vQokS~j--=uAe%5L3FStC{+<~c$#+=0)Y>A6WT<Z<p-7QraO8NRG
zy6`Z+-|_v%v-r~MRpEL1w+dac-+;`YbyH`nOfFcrYcG(O?7>AHz(<yUfsX|U^b?w2
zl3wG=I~QuWl1MWM=BPG$$+|eaR0=7{H_!G|neL3LMq9FeL43Ff39vR!`pJ_hO(H|f
zUvR;joBNUcum1($u&P>EvyuSRs(0Pj?Q-CuV7x(FkWsrIW_KKZL%1bJ^VNBT4~??R
zAMq8zK|9y(v`vD<Q}D!`i5AN(MG`{&Gr>o-CCt;xB^d_rhtn38(?>mQ;`h&F!9Yfq
zjaa`Gp1%a-D@0JO)_IN&uJCf+g7W)%#p(&>%aA{X?4phV20i_cf1G>1;rDo`cqsFD
z>m-Hy8e15RBFet;-CoH2Hd_;!ZRcfE7at%WxGLnze(N!ttZxLXtz4<DV_A#)2Ztal
z>!8BkY0Wwjkn|LTmXYwqMBgbTgAMUX0d^IOHHg4`hF*8lYI{J7t?3}y2DpmPzgv3P
zB^d|!^&|ZA^IPxJLH8x){drJk`C(CV#$$xsw2|w)+6D+3;yAb|a%9TC()4eqP6&N=
z`RPjOuOqSv*5@Z5xl%lrXaSeK_x#99``d|$q$+CAee@uJPJ;B?P@MUPCxc<ZcZ1&q
zUl2+WXff8h6&vzt*hPNOf;k;hbv07?h}5A@MRT0wW1r3wUIFW{lbrubw$HCU1{O{c
zX)oR)heC)>%cQZROr65%I)BQc)PZGf?VX>a=he|tiHB+@D%uT@kCycT*jonCI%AjL
z-qa~KUToW3wVlHbuW-;EoCfaP?j1<tXKTE5;~`#Mtlj9eyHvqK?6`z|)j)knucKFB
zajx^J+<w!mKcXjw0b6<E4ZBok8Ky-8+k~zJD5F|eU$^z;jjrCl4HltnI{muBhjgNU
zxbW?h#enPlLIO(>U=l)U-c>z-dh}ru0t-%!s<t@b*P873#U~lF(!A|*CY?*T(6t)N
zYMA<W$dH!5&bM};`L%;PK>Xv!*3L?!6SGMJ4u?HfC0eW4Phzmdl}=U0vifQ?7wz*D
z-^{9d4||ICxoE-RTV*cGnTghX=7_J0Qa;sZ5s3PHlb$3{rIG@<7ZKi3EeG^G!C`MC
z7zss?K~HdB<K-+dp^e&BPBF#$`@GX~NE5-Vzyy4gA{eN0WD)K@dwyEH`&-!%4r80R
zShyJG4|xsNB8>5@ENYDyxXfOQ(Jyp9Dk7M6>A^0$&ap-AqpOR*DATMLKC5gvm=E66
zoMGv^uB5J?NuU_({&I#{m{TOmbZS>wf^=B9pRV^6sGwgA3@w&owA!or5(RWaz}{68
z3|RR4_Z%iyGzq!75}fhLM=oF8Cs(f7soe~lwC`cw{y_12lR<{Cm_qZyZAdl+gWF~}
zp;tClzeX$Hf5GUCY<0d=SgG0zavw1}8#Xe$^*{(r7#vAZ#}KBf{cUZm>8yg)d;8mb
z7J)NA!@m`Sk93+N)~wa)#Y++)PQgWtDT<B<dh_jD`KNWVa}v;N2fHSZ4Bs&_`9D;B
z1yodF^S&(I4bmXerGk_+0wNO9NS8E-z#`2`x(H&>EhXI`xim<JbayQcOT+&z_<jHH
zcg`L>N7%df&O7hSGtV>gZrI88<BAhfx$G3<H$5^gclL7q;_u_n?t-N=a~0$sgO<&;
zw?pj>W||#sI})^;EGou5cD6ARm`;4EpStOwZ`T$@SbHmcy!hTAA-SM!<>sn#p+N6p
zv2viqC+XUirO`kd5qR6IaSsGMZ&@b8<)@PT!`;2TcM~ZbixE$d5QUX<?>FZupsck;
zL(|DRI0@A8IBG15r#{zd?muq(1kL`xd9c_NqEK=EzAXxBNS4hN@!ECs<bHz99Kq{x
ztDBL3%vlNcEA7W#gbphvb0T`G+4TbB9xj<bwK^=_BY$Vd+!LWd?sv!zlD%w!kJ{^f
zjAuQX;~l7#Gku_+RDiW*{-=04ytEl3L0g-Ujs!0A7^b~4tStKLikwSZlecF5CnX_1
z{#Ehyi&!Ky0^*GxXs3KK@X!fCm8$nlr5><mV=FqGXAh-qjoetBTeD7eU%pL1P6#i-
zmdzO0i_Y=Qo+JO4xnHBuEqVacq%AuAxF`$FgsRY1j;PdYmDG^BNBAI9kEmK>q5G6O
zYe54|7pd)G72W#duZE?wZ~W-Z9vm0*-0ej}Cbi8FOv6WGmLF<KcE8Uz8>&TBt;U@3
zF4`BQRLwfb)7n=<$H9nx4C5I6^;L5^-wM7Z&s5wMLvml|j$1kw-xz@DwULh~>0ip<
zx&;quv4;8gK3Jx2mNgX?KEV6HaK!RZt8m}4aTw*Fe*CHLm|0Sd81d}#%KKjt1_ez}
zrP0&=y0F<Z)i-1jMxG@2YK)-%MM=gm`12LAe^^wr@!RU#3e!1wZAR_n0I%|YNEJm;
zrqTRp!GvbY(1<~>zLvW>zMkF0$XP7QTE~tR`{Eb2!m-4Ja+=EEQqzWo-``gnsCd@r
z5vr0`M|YULiw|A_6SMwct$VwN2OuC(<r)pEv)k<Gno5go6sqSi`Qw5ZD`R6v=y>ay
z`n{go2sjqocWf(6YDkAO{0nZ#Xi3Mp7mC<&fsS!H?l$^N%U@Xdakt!FcyAinG<sMa
z7G=~7h@P6B1)8C^LE|2Xhm`#SRJBV~_|~U&g2e;ZFv?wLO+h5<sH?u#pP_J(jq>nN
zQF6s^RA*D)bxXAP3Ic(20b0P-Je5^qNfOEGwJ;PT>@J^J7fOlcM0;NsjM!TGWmy-Z
zRv@KsIf#|O#V&M-teb3%UDTu4{m_u?=GS<}clRGY|I<a18h{S}V(q9^XXNZ0vYmY#
zd-S9YL04%ECjcIC;1g*3MZ7*+=mj|<iR8ZmXpU4h<!?+(n)4raJ+WarTe2bVJ|1p3
z#t)!hx=yl8=X^+}UjvQ}sN;n>SGu(bo-KWMTH?QiI=p@QTVAs=5W%J#uPJgfoMPm%
znUl>6fX0+VAJf|@j(d<%T!E#_?B%`pk{ad7LCCIr6w+coQ74T$Md#dR&y@AQrnz9a
zRM4^T|K;SCNQ=2p+_`4cPrcea<+AZcr>3DQ6I2LPWK=VONN-P-Q|zY9<oFw{zWJ>3
zFQon8QQJh{+1xAce}U^^W2!lAl{wP3vX3Y@`z9dWCpf&DcfQ*-_2o{U$S>c)+>&=T
zHBB;37d>!zGk85PptiCY#&<ok&z4vm2DCqf)i(X3lfc-(W2`w1&K5HNG(-jgR|uxo
z5*wKUyCX+E;(#+TJ$E+igR_U0I_dwok`IT8AKbTL5l`;-zyLUervg)fW74_1sggnL
z8PcO%fBPQ`C@65yT{D(=-9=@w7^!MSmyuk{11p&N`5bpt&1&hGH%@|^oDS}UeW8v}
z0{D}?X_`aPAB(=|Q_+e72L`Jp;pp(CQ!a<vsT4s6&y_B&qB;kl2nmaNWOY(u^{@0V
z0D&EmQsWx3>@Fw&)Q(&VK9l-Bz2<2<GAmBe<HO5{$tprFL5=@&975wMI{iRa%4=`i
zORXO@nLcA?e(YuWf8XTb-3CKEl#AKU>-BH{VMc0nk?>&C@@=52kYV!Jjcq5`<*IIi
z+za2)LXzyM<XZHFhop_9taDXkWtE@r-qN^xA|K^g(1Wy6?J7wx1iY&vudsd<P-~2H
zpMx&!Q2(X8NnR5xMfZks2IxT_%t2BBjEu$B(T!KRr_9hX4&SkSc~-UE$V#8Di>Rc(
z0+jzjv)hQ>h&x_@xYpZWAwZchxY!>en4knB{YZ+DlF^2@%H*G`7Lo&0o(fJ4#jeKK
zrW{hUI6wa@s3XDqcU-kS#W^UdwEMz?##cGko&T)HmEq0AHPF}2HD>I06+<XI@1OqT
z(TRNx!)>1mu+>x`N1x-j6%2lrq<ofK!r`i3ICLt|=DOgQtMqzx8)q2z$`Phfi^|X&
zxc^noTo6zB{4um;Q|HlLE&MOC(D3YGI+#}3)H|eCar>dxKHX9x<L@epr@nncRz{OC
zKZf{5ggt<mZas*O5xEC|Zrr2I8c8vpKVHGZKh+)}2q@PKO;>8$aJ)AYuF4ZS&&W%X
zg%Ol{hoavNM0Jub1{V>?$%E>Jb{dK55BrNkT&9k~bHx8>YHOHOSsx6QdeYAoj)Dv%
znkW}f{_@7x%k2kbRSGn8QCgS5H0(tidMECTiL@?YdlHl_%Sn>8<d@ME=0m)3_L;hq
z5$!g&;+Y9>iRAT?*JGu(eXzhE*T^7Ur$#)li0^HK9!}!HjP1f`KC5~`Ta*M3?{doo
zHRfvc<QKIb_0>h_qfD0nQ8ld7wJTuOgFn0Qg{Jowf^aDtbg*5V-LI|>Z$IlEgn+2i
z({4nsD~0z;)qSXxVS%=$WX;$!e#;*-#t?u9+F0WZZI`e11%r;o#uQr~Zujg!mqcx{
z$0_d~<o0Q5G))Q+7YfirQInf(iUPhZ|0@&9+uyv09LIZ$rC9#w;cH$4e4hx4=1c|R
z;p4u31!}{O3`{XSRxy@3yI1I5FtwGXN<jp!!`B2HOZx!fi9*B)vafO}T&Tfow$9_`
zMYF+q?Bm<>J_Zy)8#W^;&yM+ddsK>}-zD!<@WmBGu+1!A<_!V);f1?DQUC#j6}aKv
z7}TAecPoQ#xS>a@POrovWSg=!;Gbgv-XSG~b6EvGKg79ci31aW!$z;jG^VOa%WpqO
zji@+zHJP2;^gmNkH7dyUcu9fF;XE;N6dbnm*oxOE?29>DcJH+JZ}r{mbQ?hJ_|0v!
zraBo$9)uJ-5(be7SXZy!^B4-K9_JcV(hXs+?x6L+W6*vbO^0L0OW~W`1|SHz;@y9S
z9HRNm`>skmDOXp-^J{cbN!1A*`L4Z3x4?f=EAqaba4wBPj!Og?;(gZ4>U*~*R<BY$
zkShZ*XaqDKM1D1<#$Eh$%|xmTG*11T-vQ0zp5~#?Q1uAdvLm}yPt{es=YLg?l04=f
zO0GXRQ6tyH3iNt<6}BT>Rz0!KirONi|1S2c@g0DLL}vh+;HT`_I1kd$M)UMM0Hf}3
z%rz<OL^*sdQ}R3fLTdQ#9k=Dy5!C<qfd#N->w7T;WVd$*SAG6_x8GKiyR7~*D2-GP
z0N5}zawPdMH?!If96q~RMqBwtaD`-L+ChH=KM`n{bFz_asqnE%m<t?v>qC{$<#@J9
zv7rz)DTx>-kK!u)y~qM+(t4KvnO>L5#?=f-aJ$|<Vz#<LS||%^JYmy`ESvp$;0Hy!
z&W5)G!bt8~Y4~*0l<R+-o9LJ3^~1ohDZG-L$+`O83#r4~C#r5NW=-k)KX?4prq8iI
z-ZEdY#WOri$Hq4P58v>`$^^cSgB+eldAN*nr6Fzp3!v-VRw=<XtoePE!`lnCq|=B6
zKEJa?IayiRq`!I3GtBNJ?#56McoG=w1Q>UDG%F^6Lkegt6MeDewrC-jJsoXcgIJMj
zGyT76X>4p`%jBhJ+YD*mTN(ZD0zym@g2>|HC1r6&bw%db%b<UYF`$lYl7}PmndW-g
z8aVuT6ivBkV|l)aw^o<`j-*-Z(&uxX2;TJJ%`e0GMzHDaqbDLc1^veci|^K<cM+Ex
zvHTM{*QrsSIS8&?>K7or!A@%8HDEm;wHQ+vXP@4XAu?^)@TP3oW^-bPu%ER^+!fxp
zxN%?w1i%*-2eDv9Td#=4Glyx+_*=fV6CHk$;&#UU&vzLI!jVvzo|g7j%lOF~$Fpcr
zKlRYk!0J6`3S0jfclARZUdNsG|MaWF4ThDi{iJ|%4N_eCT7bjLR>fF)3OL|o{Qvwn
z$X_LLfmUzztcr^uDGAxi8PByBntPMGXq+(B6Klty{zsg=yQ2;r{eSbNi2ww%V$ll<
zzW)08Sg<POU)x<h2+Uh7nM%82>+0nmG5YTvCU7MAk&|7`eOM4X9=)pupJ|V_z;<<`
z+}-AvuT)u~_KZ2)aGOy0`n%zcmR#Y2#g@IorNrkd9~Lxi376}$lVr~>j>D)&Cz1_<
zzIQdjfCC5|fydVIq#s7^*gxsekA|QGZvBBty{bX#?|P03C+|#`ia(E`e`sJF`u}5T
zf2jw1`B^u=PUTATN4`f3RN3XxWQyMg3Jes_I6FpDWcC6UWrhPe7l4J~t>U9x<%@e}
zS4cxsfIYUxQ^eEv8%?lEtkyfFNJGw9V@lB8k;V>7=gd6GG0rottj$rYdYjPUiRM|C
z4)1mE)Z8^92}u0E>>?Qc**x>E5&q(GDvAPr+w4XLsnyzwgH|Z#_$+Z&%&t;!7?n6D
zyuNL30G8x7gUAzo(Czkp)O?`LGx;3fVJf%X8WZ^|AWha%JN)_kpB@sxmjH8fq;dB<
z40oVkw3<lHG)JPWDOAcUIV|IBfEvh0B6U*lM2`M88)Lz@BbIJiG<N#NYps+2;9(&W
z9*)7JLQXWT<Nj6bh8${T1Pk#0cFn&5h?p9Zm?Wg1*7?sQFA25<(Sb_C5$19saNOGe
zIp;u12v>J#y4OMMo>F|-YzDx{0dJY)GMOv<E-*IR;s4K3*yU2;xYLE*zX4vIwUjEQ
zIhtpW%DF8-4Ujr~qW#t=auboQ^}U;`4%*w6$|}WIab<6{3hNP5WAwhK3rbOss(35A
z{=soa@?Y8oYo|3$NwzH_Zi#EgEWP-nBVF7`XwnY?#IJr%-(eK2;c`NtPj%DZ$Mh~u
z-`*P0`dbKF`5`cMAX&A+$ZgYi%^rN$h*S?kSc)pTZ2RC@->Hibb!4}KhFM&#xLv2A
zMsh;w=ycGjh4GBIX4E)EVXr<kLFqj%<%VH$!j)QeeyGC^j%9j=3|9g-;db>RskL9<
zsJ@PNk<nFDrcw-j+R|cx>gz<2TX*Co|8>5jS8>9U;#d1OU<PUC_=hI2uIU_M*^&lD
z2m4nQVAJjK@CpCYf5GfFlsx+B&(e1VZhhKoZ0%S4JI+l0FySZq?G^E{#!n=Y_I&y=
zz+bigz2^}HG64QfRdpCvy(lO0t5Lkd@^Eq-EviyXq1D0v<60^9s^<NKwrRk-GA$Ty
z&H&J+&pLix=W)m-H2YyGn}W~il9i<=e1JuD{OKJ*faMw|<r~3sa=AsaR@?J&2C2}*
zbDK~OJF0nS{@MPVd9KHKq~1ng&hd)s&b9BXeqU>zqu}i7mt6wv<Lqj@(<@xy9vfY-
z$1QC{4Lo>RM(?`p2hi`hR6@ev<rR_h+MVA><)imjaV$69Mc8C0dzbuXwPih=u=u4W
z$2xgk7)GJx2ppktQ~z$E`2?UbdZ}(NbM)C?<;R&Gzp9gJ%-II~Aq{~zpm7Wrc*=*O
zBDshzveR_VTB-eaaZwRvg=;po<V(}hy>~ZyS1&apom$+XmC>d!{8V730)${$)dWbZ
zGpM2LIMABw<~_)P7W^1@Txj`WZ+KkT$A7!OurcF_yRzcjg~B|<gn9}koZ_9M`mnP-
z{-nYu`;4g;o4oNuW!=ohkpavkzGp+Kwdr|tec4NTDI&gJW8?BwuzraPO(gGsVqY<$
zozg{MnGviPd<)^EVsOSio+NX1i{0c-s*~>5{)oBtn@vEspmXQAR^Bf>kK#$5li8-r
z1enq$iYjFnbIRhm!ELbq=(G8rN0m0U_%SmPTh49fime_rk_DkKbvtC`=Bev{0;TtT
zCn5k8*B>C@69J)zX(Dt*tpr&BW^=$69Ay@97kcT&Dkv_O(60giHO>*J?36dI`B?mO
zwv9bZ)xo-WZf^V7;mcq;^nwhQ7gqc9W)6p5mI)Z2*q!ycMw{Ow9{2ZW$sMnr>k}7r
zSc|eE!^3i|mFoA+szBv(DW+@)KGl<6vVZchbYjzDi2R);)aL!;t6r%7SuV*QPIvh@
zOHUhx`7_4=;dE!gIDz<A?Fd4#_0%pc9iy}MUZJ^5GaYovfBRb+Ijq1Ow$=&c4{@w^
zCM5nOr7Y(A%lDc#Z`^xvB)k?w$*~d_Q-O<@+MUN<*a+o<=P&Ohyl`B99~5+at&>7)
zW!at(>S)}UspuMQU`6Q#7dh>IxHBkVJPNeFK?um^>wls$kb$v*82yXX+I=X|aJZ!Z
zGhPytNy<!>dfoF9smE2k+)d6(Z5BcJ2$AXQ&_5)laF_FXs3gZI`?cXdD!OdCzsS_?
z@C6rvW}TYpALo7@-3K;Q0W2dEcHPbNRY~MZ<QpbBv?-d?X{Tw6Z`%r>&&VGRVW;(D
z&>u>8HHu6(P!u1YR^mJpYK<-0n1IHnI;;^UR2C;gmP~fZ!8;!;0*isnDL&&De45@~
zSA_*hTLJl8#Z|&Hs+(gjJXGHyQa8&oe2%RcIKKZWZs#f23X)#gUTk3LsCIL{C|7Hd
zKkF)~^lSa9pv?=rJZQ;&6?d@hZTGJxTo;Fov*pvpNd}E(XV|r!_Q8Vs@71$)5F^dK
zL;;XIzS*bW7VDP^GZXO(s;XtlDWf##Dn36jfmOfZbN1romga4jQI2twR?vEihd@vE
z(X)CyX_D=CfvZ#7d59atGTgQ=9$y*u0myv=)F`uDZ<bzh0ox1^Xh-#94d=_lQbq$_
z<Y8W1v(yt!Z6a*?{j#e15egg;YVf@KTjpjd6Ff}a&DW8v1PJdM1L>he%96Ee78?3g
z-K^s0A{SR(my;snYeGuFy0nXE;RPWz7vxp!js&LIky~VV^*qH8uD|s@^R#pzac+|}
z2BqMt!+u|Yh<?Vk$_3Y+U82hGi~Ui*jlo&G8@bKD+E0G-wYBJ}gWvsb<Sin^pQhLZ
z-Ax}pRr);qoCl0<#lZY@TYe#Xrg~(iVZ^ZX#I8I;czsEJy326#3xi}nm5#f5P$jpf
zNIOC&|AXwx&oJIeCu{4@YwEx|eg%?D@n2C$mcHXmhXDm1AbCsVHFknV!x}T8LY(lh
z8!$fjwG$!GH><R4&aTkNJ3UTm9l{aKj!@Sv!mO+t#<*ZKG5$Lt@us!OcdF7tbc<=h
z3OWMaW#7>P$R8;YP@T??r58L%W3yrDe*5eLw$&M${-GkZUglHWKLAF#VsA^sscr03
zEA;o#eljM+-s9me$9AofIm3xJDmx<xh2fd*68dQx<b-~T?6;0jt3rdjTjK&`&blK?
zZK0)~h5g!T0C_jrw&=}x!}v)%X2?J%J|gZ=ux*Td6y>iI5FS43`1hAHcSZrdC}Lt_
zCJe;hIEgp;^NzXH5`w2<Rl?>gKod=g{b}F=7gjCJ@M`&h+q3L8PI_BK*8JaH7JocS
zR4RyZ#;W{=KJDJWj``x}O~}%7#VOE!cV-J@mSSKo7ohd*JPz;BRXWbNG0tp3@$9M!
zeTAl-cI)h_#BltoXC?WCp=YvL^`aZjmU3Ui^yX-j$}%ET5&n3gNWh`q@KVh=YLQwF
z=F4G4nYqmu=C1Wa+&&M-D#maFW3!B24K56qu_z1a7->``2R9X`V9s)#pAD{!6HBGW
zpmTGq<_OZI`mC0_c(UP-9*!D8*Q!ji>D6h3INz)|iNDZ)@|Oep)|+0l!bg1k&?5q9
z+a`y`uybP<Bw$YYT^R0*L)|$?*$dTlK}js)x=vAe^-M&C5-06V@5r!@zBWcixCsUM
z2p!-A9bZoVQJh4GY*{kpQ)*oJ?$AJ;I30B&V|fC<VMq)|qfI!B0G&USgc4UjOokEL
zUN!k<l%r8it1&@g@Ry-^XFF@9)52AmJXKJhrCwIeY0o&^@4klCjHByaQ-ahuE0+(n
z)Cv+2O@xKwKxc~ksGRRbW7jQi@s~2j8qXO`Ve6K>L7+2YB1Oi}#`C@oHR}6s+oG3>
z-ZtyMnF?Wl5kK|eWo;_I&c1Ei7WoC2=$X>f?b*O!o5}NeqMMBUBJyY{E90)K=cbfl
z7pBFynP8M%RPlGkh?TiPrg$G=_dEzp>&SeFc9;C>%xDlkMs^Gcw^rEWYm8gR>2v`}
zR-y&j)ddx*;8{OqTq)mN!3Z^hX8;CFU5<hhaz?Y??;?*)+cYZt@V(h{r|is#mK)*-
zS+r=YC5LHvt2lpMlmLcC5I%t{FLp))QL9eml)P<5O#XE9X<sUZQG37I_EvTF!JRBS
zfuWKkChgny%Bjyv7E84S<Y|1kOj1%RU)QOa&h6K|Fzv2!C=P^)%Z{IDo^TcdBLu}K
zm?ULEk06l#a?-}FRpoA#_(Prf<6(E4HMZ$C55J&Uy|xS?LQ38lyT7qV6rOS2m0CX0
zkE{xQA3$ac2mv<9Nn7qRP@itIIQd<l#05M=Rb=HyP`oeW-^PC~-#~Py%MGR!UAYQt
z*&es2_!&BtmDt|(cQ9k)*)8~Sz$th-zG$Y(b;HAEf}k_xFzeR|Gt-}wM1^$5gR0HR
z_%vQ=9Zi|^Cr}0p8=7A%@hc@?)Bp)e11Qta_54q8Zq^Tt2K$RZ5p=)=M{z%5`}}hF
zlcG!g(fX9tRVL0wk5}=>Gy{~av&&u_CB~_=>D*@xg0=K^u&^nHhkD;OU>v+^m)e7T
z0awyPd1MNRMwBUrfr%4Nih}#xe-51GxW28zecnm7U62*rr`KXecmgPmeDZ3n9gnV*
z#b&B{Eeg5;HKO8v?Deb-8<0#8;=3NuB2IekM@LonQf!14_p6MHU();tT;1v}tg(~1
z+5T8Z(;Rg!Y$xL2yw~0Q(ZYhRXC>gRy`ia|!4}_MZMA(ptNr&!lEOB{@2>$}DKD`4
z>|u|b(4E<?9?q+LQWm*kjY5#JcOZ#a`^3g8PRE(GDY;63XG>d*1n)>umOB{x@1_GO
zQKgNNT!9mg8{*3VH|s~>)DBqs^`0}g?L&>u7hi|8_&3I)eJHx0^yvgT=%5Smcfe$W
zQHa!#!HHzV2JyIv&!<K8wkmQ=uKQiUq=fYLNr*oADE}A%)Rzvf^j8E5(-_}XkLI?(
ze(7D!iH0Q5Q_&!&5_a`%*9Oi(K>RSep6!z8;MVq*H|_AwGP6RLy}{m#1Jiz~R((&?
z5e%H;Cd718-N)NCWvJ`WIW%EF>0H@b6#B=$GUL(j@GJ0$?x@301|}5V(FL80bMIr*
zH{@B{fJ&;>@P1#%_YhG9n{oVOtGD&9Xgx~uPhv@Mz7AiTZa`h}2Z#emIH_*-B0^^w
zoR*r@5^Z})4lVU#uwQ!|HB!mq0WU0uox&6W6_p#kr4ux`HT>pEHt5PNZ>B2<1!6=Q
z+V3;V)sA?fzz6)ZDhKq1tb3zeFvnInOe$a4c6d^lva2>qz#62T!xyd5VQkoG8K#w+
zB8tvoi^k;7IPSlP^a|L(Tzqw$qs)x&Mq>b#qjD%K`iK48Yah+Ws)MQlKEV^(&hfy2
z2@5oU+`E!kh5^qzi*7BzU=ue(J1<AVvZ9)6O>0JRgspf*XU)7l0T`c33!S_9ZRFxO
z<Ty^<6?_)F^eXz|;XR&Tz?YAe=S1Zd)*L7R2g>?ENLG{We+8i5l?+E={wm*h{^}i^
z=~P**;7<8^5I6%ZgO6ULY&rBb;5n_C_&HbBn-zg~o`+O8z-V?;i;W0<Q$OUHK|h+>
zgQAJb5*7`Dd>)?(;nbpIpn~dI8@<|E>0i%sv95NE0?<hW1eUmOJG@iQZ(5`rGX3{$
zmG(B+^vnh4V(CHfdo*q;cma-5blDs+1?PQv%GfNe=wh2s2@E>A&8T<CVjMkRVfcg-
zP8iky`bfVtk)YbN*k%7Q&X)9v7qo>eh$|r8YMl;6VpwIqq}+JtB@J*ag|`BKO?IyO
zs%BA;k=M@VC3|m%&dyA?K%MsY7<-A0?92Z1mp);RhC|oDnc7@=+6Cu*K&Ms%jAS+6
z3iF@lbFRaftO-n&acVU9DT}-Z{Mcj(jb43!m*cw5IU&kuvf-7d+(rf1I0*c<9G8UQ
zwQlKHE!jgaY}3R5mR5LfF|Ii{FO8J^0}do@3;jb8`w7!>{Z9i`TUn$oIqnt(zJdg?
z^oq}%%kETDY)?CWGFanM(HUo;c>Kzs@%k5-uuTpak)q(Z-_BcH4Q<eO{=WFIP4l0}
ztb@Srq3-OCuXTs^32=gcHnPTxtL<yG>5zew-`<)ddQUexUcgGcw@qmkIq+rmC4s>^
zI4N@^Xown^_geVRyq5uo*8Q=G4}FOuQCmf@ogrXIVE!F2NJ2Ap+f@gEFiE6}s!zv$
z%q%A<DMtGYph+A2uW}FA+JvUOe<3o}VRPqg*PvZg=oA?^t%n4gs*AWd%(9kUBImcE
zDW&&|WKxi<4$hv@U|mS~33PQrogaiHpwrlZR)QP3eg8##!te9QT;MF1SNofvbQJKV
z8+|*(q)n@++n%O=Hn-U2!zCNVJ$HlZaNd!jP!J+SSBWed3t<z)(#&tKYobw5nY^aW
zC6ODOZUR6&08Jd7M)?FyS(OACR0?GBOc~F}KIQ#V<<uLKf&IQRsE};~#^oew7O1FC
zwN*N#2b{C{+ob7ZSGdsZyIG*8-z^{L*{eOiysO6VLEwmu4L!~5DU0z_U{<;R4Z;d)
z;TMZ!G(A=3QRoJR$l9vrM(MK*m#2(Ml<g9>Lq`|e67|c45G=%14K}kaX4sDrZJCC9
zC2Ms)X@C5ss;~fS)F?ntprd-jz-ePYn1KK*60!ZO?K*NP97id3s*LX0K!C%f$0a(H
zkF!tX9kCG>3m%xsTM`Hfs_gJGj@#WKm1$Q0J~>}E^8-2~4Ub7xx*rTkg>&qaBVMKP
zZ)5#|e8c9i1G52C2{$ioW53@=OA1{k!#8{BKNG88_V!MZ^p2M+W#Hn<4k8uZZbj{B
zop?jT(g|I`2ufgl_Mo1|>9VsqsJ2cC+XWG$^B*FR5yfw|oHY0COR<|x?=U_jt=Tw^
z4hO%4X<vH769h7s-{!idWc{6vi<;!ik8X5JYj$iYPyd+q6a;Rvid*Cavgh>mODsG(
zu0}7p3wr8Vu1PD^ZY;)PXArp1dJJ8Di_w3o%yD{&TuFau(3lJE4&hmpX(uIlG)zi9
zT01>Rn)@kSfi$!oq40u_x`3z~8P_F<ig&*uv~+jhTXDVRy5G)bl47~-HRz{hQ1l`5
zW11J*=_~yMb4$L^A&j~1S66Z_hOt$4hfGtzmm;Qn&`fvwvfKLh@thp`4*3QzIzk+r
zZZ79LO0sFWsw`4iHcfZDb`xMTV1^-}Ghw(GpZShpI@f9JOWawumL#)G@+)gSyUtwc
zyiGFXA70Q*mzU5)8Te*xZpCC&=ZKCn1G67>Doq3QkhPo%ezF)&uysH004InBDCx}t
z#CY`oc*%ADvH<{7JBNv4!}iOXMMVCR*8qHRQJ)<AHA!-wNCvy*P^&`(s>)f(nI@47
z^kF5JDUs{2&t?`+k=(Z3T|G2OslC>AE?Bg@a-CO}(7t$OS0C@I=bU9$^D(Uq{q)sT
zU`I9}5whfLyt(Z3u&uB!NeQ)a3NnY{K1F=rw=yuz+&=Kt)?;5=i{a7NuHHG{nyot?
zb&-^AHjs|~N311EdCK>`Sd<CBvbdzu(fu>n5376)Xw1ie#_V*fG1qhL6%!Q9D7uUe
zPtVpXCDO$iHlF#LWty$obC7P6#AXE>XBKyuE7pQPf{E`-11u1++T`!h6R6<gFhE^j
zN+SBu1|ojGyxFaPhz7zoontZ$!F%+}pX(7wG#&Nh&j?%){}bNS#b5peeZSao)>8?>
z4s=jroN0*B+AU4c(8ycS$y!J%r9iCkNVL+rlbeP&H5ap0$MsdUxfckXKOXg3BRS`8
zbGbW(!`ZA4rOe3*wA-jP4bW%4sOZYj*|Rksx(O`53dLKU+;DB^b@xAHG!Ce%KU{t}
zhzco)L<~n3$y%5HVgx;41YN242WUQ%9bfatXqGTc`v4Mnx%{JQE(EUbjp!<21l45o
zU|Dzx1`)i|S9NjV9Qcu$yzs6k9OkwA&UY%~<95O`c+a9WUWcN=HcHAD<4F|ngta{5
zt4#=S+<kV@8^5b#n9acu12GZG?F;f64Z7nO4gwFyC%ci^Z6p61qKL)av40jB!um;P
z)znw{H;+Zalc?u?3C9=Q%X3UejG1cqAPqG<YI`F*509tN40VA-|4FE=(LGzPTn{5n
zPGW0O$i}^5kLOtZ(kCs%$79MB3<hGj=rK(OyH;QDHugU!rxR|7KU*0<ha5+);zxEf
zUATWWQhY9j_B@pr?KG{~H_}P=bU#z38f{b_Q50D0=iyVG`@@S8%~f>@y}V8l=V`ps
z56^C)_(oGkpNITPoAaTPp{RJY)<Rr}qKR%vUTWplSB=dDrW?VRhKWKqEeV*s^+!XL
zMfHeD$;z+CI%vqx0$wKEpifoWuDSIH7(CWc=as69dCsuJooPN{zk`m_utun#5Betm
zjFNwp_-5WAQ{%@+N31<TGxtvPNamV9QZ~<189}yOI3PWBL0hhupgemyDYP2aMncuf
zby2rnY)gTdlr#*=!?G^Y??xtsA>M>CsxCPDSbHrWVZjDiB2SDSXXqjC<t1|?p|LT3
z+FBWF&$rjqodo<@+XE_*eA1^)O|L>_ypc<PMoVTZfXT-%`*u&v{JvF{5042b=5gww
z*Y+c?x64VNrpLX$MSZe&XALPiD|D~7JJr8AE||#%4zJ)!Nr?vB>+WSv`sk|knT40u
z<?*xc1ko6~6G!P6#$E!C9by0ljJF`nA1hSK7bFmWA$Pr=*}6<t(9g%R_B+lI^Ek0`
zfyX(FX<Gyf?k}7YP{*raAV&=OiT$g9J>J^mET@3|OTl{z6yo*IQueAYT(1p0;u9_t
zo!@<B=zrH3GdoD;$y|)`4Tk#uu|?Tzsrn`e+x|;k!#xp{p##AxDY~wgNK?p=&SN%o
z$TXk~YW_{z(D$J++o$g&WW1c$VxmWx8OAU%{xwM3we@NdJ}=rmC$YZcuzER@U>slb
zAZ`Nu30@=eQF202Z@Yoe@3f^Kn0NMYG0pF=2`Brv=u&8`O!F6pFoD5maKE_rEY%CI
z-|<}M$!6c;*Nd@2{jrYFA=$6P=47;==i`U3o^OZsiu@X;iWHJ2+mtpTfSx_>lpsPU
z#*#B3Aj>JhlB>NhE@s6L@T=e+8al9jtkFh;Rt+E67~|J}kv5Z%e4gv6VCxY<5LBE3
z>;Q%J_Rl?#Lw6Yo+_W`@AY0;blD4z^%L1W=?oz-E5b>|4DAaFnxR%2r<0=XjuW<Vb
z<p@4{<CZ#I<!N+NuO|x**l@Y}(`b}UT$VEL$L$~4C&^<BFMtd6z6*Q)H0MtE_0;AG
zN8bKhm(e&Y37_+gY$x1+>Yxel3f_OK|KO1XWP$#C&b|<yuHgcnbFnhFHoV;pjF=G9
zRy~|*4u$E`pL?0-+L0ob99W6Fs{<!SoiwOhQ8lwzd&-T4k^R!bT3H{leke;h$V~)x
z|1oxu6ETR&1H8rxZB+IMw#lt%S|ajvOEzd_G=<99|KwihL}bN98C2SCB^&hut(-zM
z`F=UYRgpcj=Dv8O3*(a~8#jjq)KDoH$v6i2g}}0GB*)d8Kk*}BJ~zpcH<%vIy<J8p
zi<`-U^HkhNtnSvKWo3)7GVoFYH-oTz|8^^p<3m0E;P-DQwST9TC9m7Rymm9cV5Lz3
z30Zdih2Zl3o?jsJU6-9|G;#dYZ>;p+`1c1JkHCHGCQD>WB7W-6kFAYDf%wroKRF=z
zKtgOz-CL4)Y3pEB_*d-Ry+bD^w!d}s$~@PanwRL2H~!YC**QAWv7UJaSS{7uJhoh2
z5AwW$0B}HLLi4<3OIQB7U*-hW17~tTnARkla{DH5AoN9=5U4CNakf?xb)lk2%>g84
ztRUThlU9=c5$Sw?Ki!jD&kU(H-_l$U{t<<E?j^<R51)$^?I_IJu|Z9N$b_%jPv~PV
zT?wCK8FXeU<f9larUhfxJtAfO7;6}JW|&=2G1^!KyXvi-y+%~+-U|>R;N<|WeD`vd
zYNRfyot-$TH+b@S_~zi9ZR^ehmk`yp7*^6N;@h;a9@)qrdXr5sOh%Wa0k=1H&4L^*
zG4{<ys!9v6D4U$3=Pp%zxVMaozM7N&oKXpIf@pc4u@UXRC(}9057gX20(HrhB_!V9
zQ<vvgTH3u;Z)&C2O$&GW1-0gT?5^AZ{~67dfoKLBpndpq#Mw#7XrObOc|?iEK|vYr
z)$V`Oit%}vcgw&b-q;5R!B4QX9A<`tA0!QG06Rb1YDF(2R`ULH)sDg8r}V4QCu-kY
z-7hfLgLpp??7D;&?|gQ{1dcf>ool#0cA7@TaOsW<xwS3Q0)UH(Zu|M{P+^vUb%s<g
z?!STFn#NVpzhBT@T6jb~{}C$GJv6h9v7Yw+GyGCZ=`)Um4`_nHn?h1XL`7Ib(;aAk
zwU7G$Xz341uBksIhKLfUvaxwS2_v@_aM$NvAs>52xpMK)0tSsKBWO!!J7{5iQU{!m
zNNp&e3>%Z``?wxZI_O=l0A#y2Xo9lNDuH!HZ`#yt+8L$3CmS-Y$r?Rwci!d<_TRAy
zTNr=M3k+A#zic1)9yNL}P&*x373$*rnO`LTFy`%8Z+ulPO)PN6WFxtbfyc3u@%a!e
zs0rY9X)9R%v)v<8?ukw(UO9OsSGu<wm6?T47CfeN$0M^1oh#IzLS}@44zzJjN%U&E
zQk@LXA?t|Xhi>@ZO^7d%sJ6Ng(;snbH`1M`j@4w{mXYK{Dot%HDFI`_152ow((P~F
z<K$LHDl=xew3il|65#lfEb~Na0nw5DqyHq%6d1@0i?-_Yz^5p)NCnIUJkXkz6q=?|
z^otrP{o=<K7%YQRPn_yrsw2}E)C1?qv(7oYEXHb{>oV&cR<U;Na^pRtZMWhaeay9G
z?&Z?iM|3^AMXgJyQqXPHtHG3Cbi1sY;rHf@lkT0Vjo@S*d{*+`rI}E;W?L4IOpzvo
zGN*b?F6x4RXr#%z><L&|89c?cqV7nEph>j)^VwabD(U_}wS$vb2O2N4Mx2xHl0NFA
zST7d5)zMhGbLRipaDW8`QQYV6^X=OGhr0;>b;NUtBz*#cnkZhS42!#@y4rS?(#RA&
zIPJPVOWlk@LTx?5@k-j%9rD){CnSn}tv+&2_>3pIN;=t}jNH1lfhq76`z7daQGe69
z>kB$iQ5&VqEKYSX0lGF7mnyKOwm8)F2fJkTkynolxrc9`jF~2_{8<g1aOCl(c$~_t
zPy=2wL_Y`!$-XvDKzyC3w<PC&>PIOg>x**6Zy{lU64>rsj~0>Sh!Yp{RlKCn3Q;4b
zv0oj@5F?H)g8K6o4QM?mCdN4==u}{IyWIO8VAjoeB6V80`x+~}wE9c4yMLX+KE|Yh
zy7k{Wati_ro)?BK5$vbgj3?4Nf$T>rQYYp0{BY3_AS9XmUBwtOeH5Y<kv1IB2S38y
zaS7P*_0*PEx$2(?ZC~!ooN$|UjQy#F;bNF#$wKxIe+J&Wu%7K_el>JcS}W*N9o~xu
z?mgLfOX#^bIO?W|Q*alvmLD|6a0(<tsp_h#$5+;WG)2E?g!tzYY`!aA740Nsk_-~V
z;@}?$Xk=D#>|{6F?WO$27jh}S%!oCiC9=n|IK^b4lVNHawUu8Qr2yELOTU7=K&<?B
zi+ErSZ2jdrc+Sm1kV0immJvxZFTTSYsVcP|r3XanXN+fTOjC$x<(!-iUGvAweoQy0
z)fCNZDL-3mEnbKlQ64gU96-gJLQygHVgx9DEdp*n{Fe+N25KuGbM1k}3xDv4v_hQZ
z;4#+JXf7tf=MuWBr-4@llEL-3%@QB`M`zHeU-SmSF%~e31crPiEUW-$=$|r{?(?Tb
zU+~G5IYEM6@md*m6`qHbG1wTr!@<4xJNEtgzq+)$fSW4O*CePc+>JKiMv@PAF*XbO
zMOHKZ1N0sY&_IYK0)(f83Qx6Wzp`xUD&kEK8c&%6-*ZpZU%q<pflJQa-wxoSH0Xvp
z<ZCOWS64JT@O4Tafnb5<{Y?G(jB7H5fqQnt<B%CK%<m0rfqZN094l&_TuevtkrMsp
z=^)6;g8z&ilW~|Xy{GXd&+<=_E-7<WPx&-y^Uy}S?|fh<f>e7BS8lviwl6pp<R0u3
z!nRxoW$Ld0wDgvEK7o)rWv?Yb7t)Vc)vj*zy8g0rQJjcCnCnR11oxqz(6W<fcUJk|
z%ljK_030q182H8GnrhlA8yS|=(|nLgMD0t9lCv3NaGB(d^`2qbDl!(bw$F)`LJlPu
z{>p@}y3X_Xxh@6^EMS^WhRRh8{mh)vP@NfMNfH~}V~my-Q_5k<x%qfk>qY<Ei93_P
z(5jb2g9ZoZo*}7ZaHlVkwBR$D>rrfx-ayT#`Qab83D4M<$*|_w*j*I>|DSQrdz*`n
zOOf~m;u4W|sL-?zX8uz-VKqH9ZZ0vatJHJ6I?QBz)tT$jrNwzySi}?SzB@6j{6e3%
z>vmPX>-V}saWSi7P^T!L3Wr<=zz({EU$3#B>^r5^EeXj8F+`KcOZ#KI@^+@(@?0AG
z$~KDkRGi6x_^aMU^`g}3N~Dfd?&Tt3n;kZ-LF&Tj7e-od+ajGFhgsvj6$@BpP;I)S
zKqqe7>Fae-)S>d!%Ac|Pg_S?=M|5S@pn+uutzQx4D)((xQ+m$n8VYbyVGWo>_*f(A
zf{b9;=Xth2_$e)G9}+Q8=hzc09G*`x*)gW|%Tb+M`yaZ!_}qwcw#2CAMX@JuYn5hS
z+jj4}2Ad=z4)si6+4Kd~m_m`q!Sv90BrM4npC-*LTgKBeO6clpz)dryc^d8b{JB)L
zs?1pRQ&Xx^*iyxBtb@Y%;y)Ta($5z=iUg#(FZ6M#zMPN|O7{iqiR<;ads$SVEFVXv
zNLja1ev@OX8K-YRA0lL0b}~3AC$BO4z^`N9s2U1;aQ&_RjJE3gd|mfh+`|3g)|J17
zSeJI%#6>JgBDs=x;Trf^PxOd&gEb)Ws%Sge!FZ<dK3&DLY2W9!DUlJBM4H+(;*i9~
z#odOt{JiB`O`x0FfDfae4g_@AHWD7m%orjgJl{v@;D&vvj-VuJ2)&@e!oSH?_oeRM
z#uK>@#Mc=jHT^;Sijv`91@{xe5CG0Nl0<1ZAE$Wl+L|kYKSQhQ^}viOH!HrMmm!!;
zvR$hpK3boC)@c`4gpOobIJG|dG8O(kQk;?DV^4_Y(}CZ+5<sB#!(VXo;LCUkS&O#3
z5PlAe<4mH8l0%D^GkK;N(_Y}Eoj+;cK`ApHQ8t&hrq#d}cIJqe?)3KM_^!FfeGAFX
zF~%cNy^3Od9M>m-SD$6pknu&NtXbm~kFdfsa0F~rFaowFu$MZw6f@m&EN%7B3XzTJ
z@vv9Q?!T53Cw^DC)yb@S6Gkv`{KvOOJ6&uzZK`E6&r6i!B{wo@MmOSc?*!1A2nF0^
z4o)MQD!@hW_#b9|eFLYwz62eI0hnLFJKtpw<MEMMGo<W0V^MJH&iV%a0)8ZeEZOr^
z4WOnLWfAo7t|0%;uZ{-<it7i(*tv&qur7Y+E;zHV&KG=Sk@})ur&=(1h+FR=4oahR
zlAz%Z;CAnh(k(<!la>tXH>Q!T49F+^MEoHIhP%v96rG7<ijK4If)&o`Ya9e}Q^ROr
z&CC`#$S`fej`V}%<L1buDm3XxM?i|bagYy7^zGh7oH?UHu%_rIUg~b~dm@zYnF4)2
zkfZK0o$jO6H~Z2a^hdhOu74`Tft--m%Jc=+VIQzRXJP=#)YT<T&-|a^tHGyvFEEyS
z<==!@G|p`I)344vlm(|4o+!YbugLGxAW$zu?um}s8*h0{z#B>~j2TF4zK_`F(syNK
z+!_7h9(N$0tr@!K{ds>zOef)DjTI@`Y92;EnvzIbA^@CwF&;e`Q*EMYoeq9^MY_C1
zL;!EYp|w~X%hi{rXyXh#8vO>4H1AatfFEa^?tnpUiDEyR4g6YXV5U@%cPU`=r&s=v
zLd~_O=O6403!Fx)#(hs1*za<LGp;!QbTxcU_yfZedu&VZWDn^VnM><tGrK|FI0wpD
z^&Vp)+|mmh9J{uiRFPMVT3Fs$o(#)Ek&@bJQk($*;%3I$GhE_g%GUf<srr+9F2oy8
zJ;q%b&P7@C<f0UYF-7|;jPBIv%p>wd*7~$C@(Tcb51l#1wE@J&%*-qcrk%n6`NhOW
zyJU<{k40#FXNkb9P}|9RjezMq^$_yCoi8bv>|cE&l|pJFnNWK}7lNMsy6UP@DCDI6
zL>RkV|E|C#gpA9(a0B0%_^vUS&m@=jlx3wUQtvCy9~U?B<qt1L^o~ESKYl3DKeCUj
z+kRB|gy!5B?aV3kBi1rYYUKmIoY}>kg7xqeb$}t!OlYJf+qLM-A`VmR*RPU2KWiu>
ztvl*;X1BOdAvwMu!`CoAcZGIf-dV&X@QrIRXq<ZakdjRo4cAU~*f-KVz=qbC7=OPg
zsE+3S$?2f2dtfp|x2T0tK=T=~Ov~3;6eqWErac?o26P#x&|7a*V@073*~L#o**|(h
zzS5HryemL`&A!}~Xp>73?)Dq~KoBc@Re}K9!x+uY9Ah?}4&@AG`NX_^ppP4H$G0}m
zjTkr;V1B@9r6s{j^|82dT89RvKZjrO;)92Ts|?jSG#uWL{=;Q&iTsmlaN+6IqS7~E
z5!J`Plx=Ik;K|5`&%9pv0R=8lBG<5~p{I-ZlD|l=25`-r_w!8hA243Ra6R}fOh1Fr
zM*m3vP-09&JD>Q^SpZIf1BV9r^Wm#z8!@w<Bx?G^J9Pkm((xu9xLPxD>i*MgOCLAk
zD0ADNC8PZvVnaPiM-lB_`$P*I?A3S&gpqViPC?$dGA)HQFp`8Y(L}rjev_WYwLB-;
z&fh6`tEI0t+;&Kbs7VI6OyN@LQIxXQt=YHm#*%a#18018VAvAA_YmhD$}-~%L;TfJ
zyp(o~U8Pgg{k92I;;}WU6HLa^ow&<~>&f8v@=a!Bo=pV!aT9vqn}<o2srT>}s`&H7
z98-AT^eo#yX|*D8a<_8dEc#bghe}nUt<Q{v{5dxU53ok;!hB?SJsRIe&g8k>W&IuO
ze3>ByMgg%<^1AG5-SflsOohN1rv84?>Um+V$hm&TBa%i+4Q1>)K|d6a@A~b(PPo};
zFq`c(r2$BwrvEiWy~O#iHd(hu^(TL<R+dID0?!3e7RSe*5h43A!TLDS_pDSGG0821
zGdnNKBI}t#WE(I&Ktp_{%$mzDIvc)nwXV&TG2P&Kh`rbA(pGiy)RDFR;Gs0p^?n(K
zy;w(I>JsrA`T!ZcXGnAjv26z0z7Uy(w6QnBWQ2J<B#%XCGixaiq&s1<rv~)=1L>Pe
zj9S8Lk42UT3%n-9et_CI{#r*2m$3#r>z1@TmV1|_Z%@DyfiI-{S*9RALM7><a@qdr
z4f!3p0{rx3dt`QQF}Hhesozj|Q{mMcY$*38>ru`VMgBYoDjSX49h)i(Dyi=s?7oMo
zmP@PKAj_Cmn-VqPAs(nvdeHqhE67yygT!(=5rJb6fwy}TBxx;3o7<-Xxmo*iH1vr>
zYRiGFOQz(Hs>>IcNH|eEp8u>bJowF+jJ0sK8ZQcgjC1^7Rav8ZXGDP-#R&a*0gpq*
zOCt8Ssr$_^kx$}{4A2&8_8O`K!A|_NA1bL<1QGjZ+S15d>tbv?0Sok8J<3q?`ayu(
zT^ZBfr6AoGv=>*w5Fqs2kCKz}qJCwRy``3E>x6lo`fm=$NqJB*bdiQ55#yO>(_xbv
zcT%2kZSh6*v!}s_&W1B@f+h1O5}*AH`mamzq3ykhgxzF5aP4X^ej5`Zo;6l!SjC0?
zc>@FUY)JX`KAxuvfl9(xM`iYfb_#GZvsZCrd|r+X<@(ppZby<bDbp7lgr6VEF=LXL
z2fC%X#@vTymPG>uM(Z;NTdu{Dn72SGn8n_kX`dyc?&*cJ5(q5TJOndQr~1V$)k#J(
zK)B&cqD}!dgWW1UUoxYmZbXQ#`{F6A^Y;}xC8d37s}JgoebFsoohy-^$Ta=1F^6pq
zWkSO2_|*Pfsgs8BhO&e<O;ZwIF0t^KCo=Zr$>lvucdUMxj4ntS;Ix0(56Zi+!r;Q9
zV^_Lf>hIS)`r4OXV_gr6MKC3a^leww_CEf{O933wdh$K-dhqDYgUYR*`Vzw-p4zC#
zth&1m{x3O@p4-b>3>xucd;s!{&nq3IO%W3LU8Z0nFYx1ndbuBRto@p<KFI*5T1;kP
z6w)U`eDu=t3hP%vs9zso4@pc;2#~DS(1aU1zVJ8TEl3%|8#idzWPQnN8GZ6oFkS(P
z-eD^|@)^?=?J02=Br;YbOPt_p&OZ^w#&$ko^cmxBkO37{bLD_4^Gp6pnrd!!K7d@2
z1VjuiBQy~~v#9m9Bg#l~#;aLaI#h8UbK(X!t!Z+|!s#@sH}ya{a=RtZF{3?eW|+eF
z8*V-Eli{+`(EHD;me#>-DsA!6J_8=fWnLfruv|oVryn)wJ;f}bn!!>n`~TEdKbrkb
zk3H+IpJCPK-!FpJ8zfcFZOY7CXz8`BW`HkG#6W@x;QNBmRb2#L=Gn%6`Z#!q8Ga#y
zPN02_@m`ue=;?rqWY-7Qz+_b!465Fs3_~YFK-6)*{;RFIB=(C8c>5Vvk5oA`qon_y
zZyAm$HcrzQ@}uU=#IhzUK5A|{yz2YS8&l`vJ#y%hSRAef#i-W(j5~x(*)pz%`T@$N
zr=$<HO{Pv{I`hoPr96Q=a{jH6;Ma%(Bh%cRrF3Cy`%}O?CsOegx;I;ly8#1-y7|TA
zWW!rYfD{z}K~-OP@V#S1S^9>qs#pj9<N;gAjNr+nkE6m{=?l@d*uuRoF4=$7t~E8v
z@Z2igPeTy?xy16>mTQ%s(q(Jq_E^^K?vkQJJ5^_1)$!Ll5$M=3HyS`6Gx|0i)|xH5
zj;_{3GVlMOJ~@%*J{C-Kmf&0UcWeVtP982w1^I}u2GSt(nmB;3|G~EZ%+BENO;@_I
zJQ&bwLeq7jM%~LnraG@^;XxdTT74oNPxLnZ8>aNCTrRhyd=13`9}&S0=eSV8(c5e3
zPG(|=J?hME;HxjX7&%DMgaMS0%6W6|(=qYKlyAqnKTJ(;Otycsc7I*;V`K=9RQ%lN
z1=o?yy@Y`Ac;z<j7sVaEUVf_s)G!)q>gH~{i|hEM&Drr@!fZBPTZ6>bSYD0@{l}j?
zI)tsS!}(v%CBOVv+W_nMoydeQ33hYrBcfj7B-n&FtmJa{k)Q}@7(N*+zhh_CgYOxe
zy?a@!Ys$l3co6nkkKGu^_1S5=qMhMHLE4}%=7-cTUYIv?40JR#C^O+acti|Xh;$I!
z>y?9??(7gN;QUk&H{vU-PF2Pf{{bl&=K>Siasm-SAO{eVXTM3Jil8)KTxFqodI7t`
zayNMAi?pk9RWh2dusiB9S!eF3Y*Xbay$NCG*Cv6NUxCdD16F3xpwpR{>jRr>3Ys2S
z37*#LUWt=uM6)NYSatN3!F9aB2N>)2o8k@}*_CSPBKk6)a}ywkO%P(qFZxeJcNM0$
zhb~w8S+K8#!LcL6+^0n>>LmJH$c=IPq9c*IiLbh`>;uamzq)~sRQtv!R3<PmM|{c4
zyz?9*khdcJuyusIqJUt|kbjz0N9mxhEhUV(@xXNb)c2man`YC-kIoQOF(y<@S3%qy
zwHjL_=~ST-2dJb;gi-Qn&l^eRuUf;H>iU;l^ZP?IIre1ZpE2HOWy%~Y>QSWAGlaa`
zi=DlUCprCGC23Lgf_&AbMTbd9VaV96qCeF?MplBdB-Ok9=b!<$c{{Nk%Ls7qY1n)9
zbod!&^;I7CYWhE3V*E70=5AY*>HP8lW&bLyE{?(r6z{33&)xRQF=+N)_~*~Bo~}CF
zHx2ni`&X^l>Zh}-OAl3BoE&&2+SU5!QCyd`)@=qxs-z^K!UTtsM4IfI<JZc@5%$|)
zuWWlSZ!1HgPw(jf#{~j&Y~Vf2PBT9bNqo!szrk9#Td7i0(l|cBNvYp17gLP0jrgS#
zvlu+d?iCW?K`>tPgSLLucoM7Wzpg*bto-S@_MC+Tl0`D_gC^N{O0s;z=!dCj>|>Jt
z01{wADI2YoA$FyX=ecwWTE6tnQNuhA-LTxz`*G;mSxxt&>eK6()FDcl!f;IwYJNC|
z$Lohz>Rg})YJQ-)>_xBIbY`s}qdpksg7^;^F33fRVv9ZXKoEgO+B*fT-CA-e)4;OV
zq#0JkSEU710%ny@#u1gV<_R_dDSvwLs}g=qxE=OD*Jn+WRI~3q04XAzpuInVeZrZ_
z%l7e_jG5}A8O|Xj_f`68JqAU32{8AY@P>d>jIN~5et8V~%TH{?ZmAKxM8|C^iOItY
z8HjuhbiExxPjNe;C4@1hI`S@=Cfj+hMzl3|U2_Y5&5FGK^gPuD?ZZv6`11EiW9f(>
z&5<c|an&2D1D{YCXEb_gZR23?%HP~}--kWfH<TDJp0htraXMof>R{@Z8!#4%I!SM|
zQm~M7k}4{o5r_g5@6;z~>y{DpTociO1aR}hfMS?pNQq3$&zkdf!xL>R@$Gi31lbKq
zDGYP=UH&BHhHRc=O$yOwd{q}gN%ucrJXXvJgkW>3bMZSiPJadp7yO>o+U2nSsQ!mm
z1OlXXu49D9ZM>ZG;E6uQeeC~_uD1Y+I_$p3>5@i}P6=snk?vAj>F$!0l7^K=N)hQ2
z=@gJIK|;Dwy1TpiKa0Na`<>s+-`Ux56xaPcb<aKbockPe^9uDQ#{Vn3Vo;0G6(^`x
z9wwHA%Q$ak=uHu}@H!A(zvdVpMfT_+7NivPbNaHNm)9b`=PLOmHcba)2rnB)a{jYA
z7;xu>*-+P`0<Ir&Q#oOnAwG|53t*boq#n?yjp1P-6Meqe$(imCIancV?4>{q!&@I(
zt&b6HS22)Gg<RH<IKBB=J`g;MNTVw?%<&!Um=pSzs}la0EIKu)&lMF7qqvE0AbI8{
zMgDUAY7e#OE|WUfhl{je)t`Hs3T}~o*&An-*=g?2OoD=F_RLX&?J?b;#;#Ax?Qe+@
z`S$qx-Q$+*O`ijKT%cB;?RUEb;{Q`VK!!i<tGzN@9YDf$XtBR?tDia>)5G>Wb5+Rt
zd+-4M)iXY3Xxi!>4VEz<A(626{+4i17`jkETeTv2_F$HG$PXKFaik8qj4Bf$?l)(J
z#i2chlhPSakj_0#=(>_=;w6Ycp^zLYe^Hi(NkiU9*8^)ggw5;w5cp(`T4caKPb3qa
zfBV&h>zVX`;vC}uzN<Zxa6)fRlId=O`aSJfKu3qH)G*uMktstD_kA2VyDAalmASu!
z>-kI__?2(?yomx;{{&+<$cjF$92Oa#IQE(xRyGHDIujeE!a+0r{4DVu>Wo$WfnwW~
zIa0+uRafW?_tj37{)*uv;h9XHf590ST7p&<zngPse%I&s?05DVZ|AicWNpxj26hTJ
z5`fD`h&edCe_cdqwQm$iDAk@nCcd6T9CDICfE;?ev=X;de$A~VX}8FqzKnorPtsIC
zXcppNjzb$wg)>y@4IH#-ucw}a4yx?x#z@k*9xC-{vb+^n3V{rfkrwF7)!@{Ae1i2M
ziTIghwjovi;x$|tO2)T{W?J=n%kS4WBl}C+Y0jJMh@?&AD2e0xPTBbIcvjT#O|mJ7
z`~ng)@nVd^#|C)fZz<FdQ;&9H9AucTQ3h*81NTlI3NSiSeS}=3RXLkb<RnZQUy~2@
zsa)r|C)D;K*S9iGn#GGQzcqP5CMZbk5VGO(knL|a4Kj*4#+DK{wS<g2#mLDKo}B6z
zddg8)3PU2yy7#&qfDgjqupU@d60($q8M1snd~;l`Kz=-Jk+LMc$8eV%-e0MF^uP|S
z%_cMOjM&H1ElHCNjEe9Y04!eiYTS5v58zMljtvecVj8*25y!87)R=N@ikG@WE>)R=
z;Y7DHXv`z5yTbFu9cl+djpe&~yn1p9N4;M#aX9N|J`Fp^n~B3E6$(!4j@o%LrEb8R
zGO2T)fiTdC;h6a0WDePNi6NGWiua@ESK_z~4enpXWYJV0jE9^Z>WZh~3<*y3xA5Mi
zRXx?w?_fVRe~QxUK{rdf-|d8Z^o>Ds$2%xY*TMmJO=iZ9bo*@xNxRI?G&~<Y^NaQW
z<k-j0Tf9Q#1@u;V?eA=G&V5tTR&D)uJx>&J*_54y(}?LGflvhf1ZQ};Pw!FGVp&%}
z()Ue>{4o|6bvMV=1;PeVXzMbP1}%o+EK{f$Awd3lt=h!(n6H5V`%5G3Ji6m+Ytnb^
z*N(06^vfR|2;Kd73CcwR5#Jh=PgQ*Ldw|wxaboID6n9CuY;&Vk``p!}*_m!R;`wD^
zhMVNWcfrbBLhQpm)8;X#G#E2@?!>>EP|@umox}E+9`sT&&R;WO=$iz-sZ`LV{5d_j
zrQiiy*HilCnE`F5qyaCQxghdKHD4Nd`EhBpYOm*Am6OxemAM}9BuTy~8cLy(S_>5t
z8i>%Uev^~oJ3kXK=&a1G;y_?LLh0n;=uS!E__r8(U*nEO!lyeWzbV~|?Zfv>9CsNg
ziB`IDB#+Ilr5uR(c(3n~@R!jYpx0f{EU<#ePTXWR`Fdm2`J!fOJ`VbY9(YR0;}P~S
z>la8A)y}pHi}QACU;Zi(_wO*Ga(fktpZ|~seHzO=SCWq@M+Fn!bNlLT*GRjWW{;lL
z`Edan{hE!GXJS3)yItQ`7f8&`SY~*EX&w?NB3^rl+GG-020$kRk4GF0CwiTLy3k2Q
zgDA?^gecL*5!8=9IKM9#Q!QrUlGd>G5RxPacc_gv=f|P|D>lYHWqusY<HYiqB{_`C
zK|W$SMU-roAsLQ<k96=may_bFqg@JBgsf0(+}zw}rR2Ye4!o!0b-Croo;JT2e`YZ(
zJf%p^le5F{S*VY`tn!}lXvCkFM<jjp6T@33g;M^4&-3EjBjK1pw4Ti665Q}hDOAww
zM6;1pVI!76=jb(9HoNF*x-Vy(vp(KaF=fP?0|D0}_FR{8SCV;s@ie?=>cs+un2me8
zXqgMD>tY<EqVEPBl|VTW^7`D^LE9xRX%C67&m>|iw-A8^25cb+wk#&@iKd2kSY72-
zJf+npq!h!%TOV7-GD0?XsJ)PY2ivtS7t4JWp#7!eqF-<gg;FM>mQ}`5YbcX98I6W@
zZR7U+^xT~vp%?yYU+;BP;7qyv<iGd!W>}5Dr+CMC$Dn=}-tm<NS-F1sO#B}@WoOES
zdsWyV3;eSZuE^EjKb>Q;<!CBtdWF>sys^4lw@$v1eo~d*_5*Z$flm~GCs)^bE?`6#
z&<ESNa?7q?xsUl2exR&(2uzu)=IPbs@=UzaeV)1GccIqPqo<_g@r6zNF)4M&zC<nj
zanoaE8bX-t;TzKVt)p|-95TavW3P{B*{rXsYyhj01KA}7q_OWtvH1sUrU>8$;5VhT
zi9APA+!MdiZD=@H2np-Pd=MuK3#qjTS>6bX`eys(%}4Hc|4V=$Aq5NW`rUjjD(<$u
zOLaTntkAu%l850~Pik1!tNt`;>C^j6p}u1O5-%@4KSjl)*@uug|4n^l*b_PuF|Y?r
zhKF6O=YctKMsxHBhove_Qd&XHk<x(Au@HeLTulw>!&n00yPpY3aR#d;{;aGyq>%$b
z!8F$yTLoy3EhHHuS6%jq;G5LK#T3!XQu%PpU(O$1Hl;n4W^z&XKa=ym`xT8PfkJBD
z%=fi5Y4dQxV`R@dAhih;(bui}rzLAY9Bt1$>|C!+#VoKC8Xi>XSD3=!br~l}Rs7X#
zZ!1cS`vgRzd%cV=11Dd~@y`ww01T6rTIIN_qE~geS3K+9*Z<?$Jn3431y&Kc((wu{
zAde=!MsFHZTRXB>d7d`D`K}RE_#7lAgadLq4BrW#JSYaM8IlaQceW;}6x^lj@MZ!b
zJ#*K8(5mp4vA&wGL)SDKE~S5esr2B~0Q23u?i*?e<O?Mu!7e2{7kPk<#e~sp!%Zkj
zYx1_Y974K!^tk4&w|!l?v{(Ag?S3u`cVE`3LO8zcTGORCH<dB7wv3P;+E7HCEv?g)
zMaW10ra3cf<)z$j9p=RQx$UI--KqM2GwXm<gjc_n>ND3v-^O>tfs-q<&CdPy+{M?L
zd+4v66-tRdI3g9Xq3QkYPl0B!IgUBn5$onHbs+mb;UPf`je@U6xHdb;P*)Cjc;0>|
zY{XZC5mvr5Ww?a=h=(B{uaMq6;Osu2c;0K7&zzCbnI138)U`Bt@wCea&*iM5+ft=A
znHo}wMX`>xo}C#dmku784NXDv$=krdQ{s*%(#_ZltauoW1V(c{6pxQPr?$k`b{iix
zJ2(#t+XbrjJPHp&;l*^w)oxdj7nuB5@-p+!7hV2qOHxxZOWtqBQFTr~u2Kd@cZMYX
zlX+zbB5WH+hSY!><=)2|?xCceg4k4@zbY*ze>hz&r8ayP6~Fa(`q;6!m0BvN9Wy*H
zp?>(V^s@xnk&if;t=DocG9%0-mm0A0k6ap&DiaJ7@G>WY@2-V#OzJAK+}v8Q<7H=~
zBB^BR@nUYm<q%`oxyLtFmPH7qaqQY~p_W+^Ukf7>wSA@rkMsPA&WbQ6wM#y@pc3~t
z?urm@>so^fl!}BSFt3y&if=ESNZcyr=Hp^{Duj`=uP@;G^>9MpdmzGj4t_3+-#w|K
zqOhEM2{UH|XqiOU7u^GDN8S62v`y=t8-3OI_u!YYZ~}AeSB6u90pZ%;WOl|Aq6Ghw
zN6@xt2;{s)+AK{PB5y9csv%%~$SmbQa%zh*)F&3CBp2}hOVyV;MxaS_9f*_zBm{0$
z3!RE|K<(4EeA@^HQo38-<&BO}_wDfEqXCVWLDkoXBp-wIdBq-vGwwewZ}@g@%h>lp
z2Fpv#LL%vQD(T^8+EB4Jw86YnY3SDV!{ebE8)>7)o045FwHVdP4$h>lw^cKv%0LRB
z!a}W>Nz_6|&d*!g9SbZdjRL&0c6vWzwHmTz_B))(`;?>Jh}wnxj|0b`ZlN5Hv{4?v
zt6Rz+u5#IR?=TaIEclC)q4wze8;m)*{IEyWt7eTW@kSWQG&wpPdk(9r^#Rds-UYha
z0RWJm3@z}#O2w1{B0Q&top<~CTfEXPlq$FqCI?#Qe5f-;tukLul+qke7pn+CEkCRP
zdBxWd>@A6f{(s9j8-1|K%(UwWG5!#JJ=U^(G4qJ>MCW<e+aHkb*~asNQ4!gh5gDPN
zAkw}}O3Bj?I8Dory7s%hk@VzIHB&BI;r;f+hyoQ!m~)JH8<G8t6i@0t;X&oU|4R-*
zx#E^^&(it0Il|P-*3iU(-m-d!%ROdn%K+#3y&9A09h|PZM-t1suZL*jMkt@GaOsh(
zH*lez1Rx9CJIWmfpygP`KcL}}qzJ}>QG&!br1c+r+-UKNI4MbSGR~QZsMCIwI@WE+
zLv6zjw4;f^SoJc4EO8)KjnRwk#X=Hv1s(CILYfRw#{VF>reM2pEmy;{^dxff2H6s*
zSW>8Mq&-{IW*#8Nk`#8sOf^`-O+il4-$y%jGNv7p>PHcT+Z*reFA`6E|Mh<ay(W^3
z(Og>fT{gnj)!1o&Qz_+GuBG5!iCnhSU+`gv)a|8YqYCL@NWMx)+wEZb=%$_k*QmX%
zzHpdt1^aT;K#@VZCY}urbTnmu%9<u*e&jD++fL`s{s)XJX8QGd){tt4`Bz65AJ*m{
zK~J73QcQhJrc+BwTXhS|&}0U)Um#E2F<O-J@k9wNvL3ABmM1lLD&AEDt2LBS{mGm%
zN7z6(yU5Ss!fD~?=$O~ef`vL13w044-F4H7cP>_!{q)n@evlC&sJmo+A1pz<l*(X1
z2naCs9u+da>q+}_wqRgB<u;WQo&Apm(?rUlCNxy&#Mow%s9TO!SKio3g`=9}4cwmb
z(&z?xK}IxKpX*Dpg#{q0C_ML9ed3F8DDqrEd6<Bxd=>R#yZoV(Zr|2Rse=h|20`&>
zEVLEahx1}r4%Ekac`B4pEg9!yBG#<h!~Q}iBB%g<s4=8dM8;sXyI$va{9S&-c4u#*
zjC0Z#9_cKv$xqUszJvIwfYsYlUlEt33uJwx{e26cCwuvoo%)|gISltQFIr=YWabe5
zOF@|eTQbtG$TfDho$YdMu6DSt3<-XnZ0*pC$?jlRQw>%9CHu~htRS6_M!q3XwV6R4
zz4rw!0;Am(T%|r3mZwHo0t^-xCCLs*Jk~W4$dBtNoXD41(Q+GKF@?b87F`QV4R9bL
z9&=Y4@+UC%#;H~qJT=CoV0{NydVorEM)*M+)nky@8T;|7U^sSoVIKHIdV++g>*^3&
z&GNL<ZF9(k(%0WR=3Vw8foElz2%^Mu{GZB6*N24dmSffOhNio^Li=#&*2m}jZcki$
zv5RtLi{4CUJk441t={}-u6mL3kIDs$Ydu(OvJ(*E`XM_Ey4B22^(%x^{tPK*egbqP
zm~LwM3=A-w0?b}Al_HeTzBltHOBAENu+ee^Nx=Fm@Ea?9c+XGu*iMg^4;j>jUg`6<
z5Sw;)KOaj~VT)WnP2`l}N2QXkn)n?1-N}v)w`YpH5&l<M=8l<_DiWz2=y7U5T(f(9
z?mz40fL>JnVzVnjHDH#YY#7p!6QYO3uCorqw+E5g1t3f?b81#qhuYNl#=^e^9W~vH
z9-r2Ta%&uXSN?Bkq(fNOtKaf_dh@0{sV_h46;t{Bl(n2AnUM7j8AaJ&5K0-*A|x-)
z>(Y2BK77#$9+MQNtX$%NhsTA=;LQskS5sf-%~#2c2^pAMOa06jCqzLpQE)!RY#AAu
zdzI=>jl`Ehx#XE^9FSv$<rJPRg~Y7vk1~0M!cKp6nM{4itjm5r2q>+av)~xEo?;C<
zrwK4Ks_K<P(=imXZv)m-5c(DCCruRBP^NtJsDfCp`GgoFkG3}C%yeM2q5Cz&!`RZq
z^Y%_qNq@w5D!GkO_>}L-KfOW*B7!<+(o&B*GDwzMbog50zwS|RygP*@aBv`f9W)1@
zF!&JRdOdJfIV!k;LPD7WV}*eFtUac_TT|TwYec10k(vydJwL|+>p{xEhOLbRDyi8n
zsZRbe*p+G@;c`c(*&KgaDI9OL2qfo41@C8yUTTpERNK*RR|#yTRbf4k=*wSWItf_Q
zVkm@sbtX$xuNc^_vT%CgLIv7BOjeer$gybt+f#W$Q1Q8;^7PcAyX+l7%=sOu66>+v
zho##+c*7e8J5{%TmDa}!{>q})9|bk$0|X48KM8HoLUQ-n#lCp^ym!l`sN5O`t6X8p
zd4H`6%oNm3FNULQ7<`SoeBh-1<m?%Ox5Wk9V~>$Bw}uzV4IFC^Ei(fmR$KAcDg<)d
zvUxKS;nhnK^_>wmV}alf`Win&5gn_N_kmsm;b1jqSwBNT*3fi1xKvoiSr>I&TN<QQ
z#Vy(k@<p_g^1k_uqy;S%@5zh?O6urV&+~H0u*Z+O@(>lW@8=3OV}nniKSp2oH>%t6
zhDk=1+?gYdAYa`I7Dk|sidu&KwNixB;*N}v>z=Mr_q;ENINV@CI5zqwy4+07v0j*z
z&ka6C8pduuR$KuZR26ju@|GJaAgH7Y>N3K{MF`PSRYxhYV0VQiO>t@VF47M9Z*jy(
zx0~muIN`bzy`k*IEA3)BrfjhOK*G!co>2!sBfd73?vppYOL_B4rg*qLyFI8Q3G<+p
zeX>e7bCE32$MNyA$=D-*vSi|lXbb0YTk5K(up78t=`GGDOcmyq6AiZIJJ7ZGGXC;q
zrR0D17_}%AZ-nv6cY<STxc+uxmxs)a&^od8Yxm>6qAK&Rihr{ZcC??6q@|XS9E+XB
zuRPS~hEYw}hx%RiSb3!dOklhy0Op=~qY9ghOWb*}MIMme8z5c?OVMCM%~iZC$;aYG
zNZUrpMJshw`0;NHsePA;Cat2Vq#QR5*<n~IN#5T_5rhKzzIMvWRY<QdQ%1+e;CFK|
zA9eL?uStv)lDc8mXGXTE0c*1kk%^;NSHwklsdGj`R6V;D8@OEBT=`}B3+^9b{u<Z|
znud<~cKA+b$+dT=n~<*LQT5ad<3ZKxx_HGXE9v`(&oG4*)ge4Kow-G&1cPv^a9v(B
zsFLnJ%=i3?Ab6x5sY*8RbPh;-6pPB#Yhu3eFASoM^ua@^tFYkseHO+daYOSa1)hMn
zMyaoOIdQ=w){ab(=bG#FV!@0;GWhdP=h&e({Y`1A(2=PWi3=pF1Vx<ksrb@vE2BAD
z<s3vra3s3?Q2d%>mBqhQ%YOB<>x77m?{hHXR#`^HL5esz%Cc<47619?Hs~_(S&xPN
z7w0_FzsCw~OfuZn=+|iTg0M?N%G`EA0_vHJt@=M~$wJfNdqX7p|I`DPum@eXE?HC6
zy23mk4(I5?en*b{2j|QEg5LpWe<cAd8j6YHyCcP2VlVf^h@O}t+vqWR{__3OvBFWX
z?k&hmz+Ih(>AVUk1%7cta<<Py;OrkN6PIyDPFFE!MBt&tZL?BRtq5)uvw}P-Pd)RI
z|E;5;oV;tz;;0n<EU7}h)vk`myMo2SXy*D&2tfe9{S@M}CVk~BCnt@c{+i_Xgwg%n
z&7zkXey5SWOLpmc-rh6?lo4w(?5j01{6a<jld)s3VAJRMSS+jd#IrYRYWcccF>SRj
zTeI1vVf>kYFSIvk8#@y^eMECPOn?hZDKNoQ*5SfdnUueSfK{j~&oXLEAvGjLH4h~5
zfnSD*a(nDNwNT+!#UzwdU)&x-P|=`>AXi6ba+&YM_msg@)W4L<5I|aogzZIFq3b;c
zg>&S75r(fr<U60-^$#e6_r4|*yC~~^s4%D;N;!b6ZO^Mn3z;r9Qz&)j=yI8EBgK&K
zBktSFy8Sqw*7&zZLBLM*-w1F%ZO$*ZwFLcgfyZOUZF8p+w&-A|5Hh^4d9}x*jqvAR
zIHtlgv{Hqv*15^J8R?v#Zh8OVe*l}mL0iCTB>CK`dx3Q?2svO9yT)`v4@7Z3G(tfm
z#3t7o<1c3nRjt^4xS+=t(C<aNZdcc>m9`2n&xZE>&U@kS(-(zngNh#oAG!KDSarf(
z(bsc4hT4j=8gF?aMvmpHJUCnUNu<g8GIiV@rv)6^6KVYJs~z&#`_f^jyXRyY!x?r^
z8Gf#?p}5%*ny>$FaZ)2t;2Jf9LhDLpVHJlgv(m`xcUvQUttAy+RG)(Cm$L3L_OVop
zUt^=2a;;0cmZ78D0K1Hw!+JTzrvYfMt9*&7)x&BLDHzoJ16C>I>bme0e0mo8z9b%Y
z@67V@gw`$gAw(*Z63HE#s#Nx+JO_O`MK!y=d?5m<y)fLuD;idK>=F*>U=M90W-!LB
zzBH51FtB{6umS7i6ph3OtDh(FXr9RhA8$OLD?2YM=+gV{_jnyKpv;VDEEhd`4dLbH
zMtER~S&)q9Cfd|*hjv>p`fGT*Rjgk4v+(ZOo0_x`k{5rs84OTcA~ebO58b_r{~q^L
z*sbt&MbEA!Z~8{>e^GY^0Rk6_Q2EMIPhLp5U?pW7T=Tr$*+X8`tA;_QsLuNdfm!Y<
z2AW?3^uQ?s-&8z5PnFC4Rklb}%s%j%s2tbC@U@Y2rW?|79G$TF@nHFzIubKQ)e4j!
zLM8Zn=%EJb63AeE(y|HDswg6)5Smt?Nsn|k8fSL8bM#&%Ff>n%3fuj*@z%2gncmCy
zBmtdhUIIkX-+v1B5wCDY=df34n@!kV(+D?3!7J5+T?2b%JV4mCAaOcwE|HZntGBqT
zdfOe)g>l8OxfLn#PrB13?$41a;f3Bs#M068q3AZJcw{grZGJU^Zpy?j){s2&5+-p3
zxsXIW6sD3Eu^Q=VNxCh4J;6gRBS+dYRF9A4RxV#6ikQjx@rni#y7V!vZ2iLvJ^0K4
z1V0YtW9`(sV(iF73FYKpbMx=)9~8L=6YLM{WJaz^7+MMkyn;zzg78Ak`Q!t>Fw$Ii
zY0+T9pK=|q){7InhUM0ZZ8GP|z*aJSJ82&l7Ja&9w&dnUQgH=^(^_5XVWi~2cosQ<
z<wPH~@bpB2wmu7jLi>NBNgYAg%pHS%jsA;gsd%X?EwEzn5~bLG&(}l9#M4$e^OpWM
zL}vYb5?M7W9GMw%uyy+dMz0_L%+sR9je)~zP=b2%W+(w>MSx(Qx-Q4^yCo;^6V13b
z`M)-BBSjc-<T6V@Fy9JRV}fm?I9l8uD|=p*bJy(Wd7RP&F}eIeIpm}08fOR!asd{e
z8lT$!v}dorNi6??);};VU{bVT#TnnBfV!NBqD%hXVJ7jHLLvB|zpqq$@D#L5L~X98
zzosXKot-<oTJ||bFaI4#>mT4ESF1L-qU~dk^51jJ#=9kp2aLRdGp6fGi)jwtMovUc
zMEvlQoSF#)NMdm8xX{2NC9GD?g>=3x(Z(MHg(v0ynUJQQwz{bA14+sX>5G9<dF<<`
zf`PPRfF*o=UuTMRcxRY&!A#W7zUN8G+9E|sn>B;_bjbB%S6FIr?e8{r4aKk@a9PSM
zHyWq@>N2+(KLM2TzlCUnu>HmPta)_t(q-yBW3ol{T<1zgGpZ5k-}nI-m7m9uYW$$p
zPa5U#($2RJq!-+99mqRZC}WCgoa!;qV5=|~IM?*i{yQ+{1oJHXB9g(^Dj@^!l_iM8
zA1>m~^Uu4C(IBR~=7#)dGN`j^<x-=Xm=#8VWq8wUyp|j6ph#k6XJ51#(;rrXw>YgB
z*ilwx;Y)hroPImZ<1^ucF@L%#xi*gf_x%MCUU1BSg!^_X$6TU$HJ&?ZYuA=34mOSv
z08(1*@_$;*d`Uly-9$W1c&O9$1J^Sq8SCYJU}Ob>Oq)~(Rs*|#p^5veCJim|7!C$u
z+}6IN(hZ^&(TR>&m3cZu3DCzOV6?1#x&&78Rr;|QTDEK&Q6>!4OVRHArK#ns_SS5v
zspM|Im)sJBh3&_$l~{{&`Rm)TN2=S${%WXTa|@h<6;T)j$IbaKz3MuSpM`B5eS>ei
zc=_jb$luAAMdF+PVeM++@~NPv%XdGkhI}iTpgCiX0%Vb#Xjm&9+Y;XlVSAw#c7~r#
z7q0#rcok#>$mHB(M{z!$_3{>h?2<UKq7Chf59xpt25r56uG=KZ*4FZT&aGWdyOJAg
zu*#|(8W}RO%JkV(pX?)vcGmlrwM!&tF@oKA#KHJsM3yD4?zI~6UjR6XUv|S0o?dwO
zouXo|)B2~q;#vxP>OjB{MA*iz6rE5Hd?9Wm6VF7tK*AVQW=T44ajWY?O<V^i*)0D1
zwPeKzc$?JFs{dARP4GgEyTBsQvJ@O615j@c;Yd<63f`vWneZbW0w_=~Jl)Sx%*)#(
z4)Tv!{bCe9?1lhV$e#`E%vPK)&d6z&GDTB-SyMO-UeV6^GbxH@5i3Q-DPgS(9%h3E
z_I9wG@BZZ?PJQr5R+9JYnasB7NwaUdc2W&{mEt;3`o-kdviAplyx(<XFsXab%QR#=
z^UX6w5u80Fej+EPz>%{57s38L0Kjm=0=xN#A-(65rd#2FZTYw#$%)02z7h-@aZ|Li
zQuLj%N-jtBm!=VlZ3@VEp>i1@Qy>2skwr$wi~X(shpXshRF*cPfT6P&vEL1KgCRF+
ziRwSv7VJ<@hM1jKj5~g@w^JpLXPnFDywW5!VU^o-vim&N9l=|?%vB0QkvnP0dA}bx
zG8)kFZRGUwU`J3MCs^KuBK*ur|Ary7MGSL~l{@LZ-$HvrTHN=Xc>bp9m?3g&CRpXB
ztaQk$Vl`!NkZ0v2d!t!WHNNR35-6Po<nmtzNj{euDIU@-N2e1gavs5HxXM<xs7f75
z)#sJ{KYI}lVOy8v@T?iM60n<u_zeHZavmtk9jXM3G8i)8sx=hbi4pb8<kF<8mZg!$
z==<)Ocp!}_+>?st@xV+Nm<GT+R08^PNa;VGBJdB@AJ0c7NPLb&(Y>CRqX9Hm+Nz13
z!vT|g1^98smbs>gBq1!e_Y4_L*;Ze=OIcuR1dAr&m6_~fCy69grYxzYnI-CepHxvl
zC<sB6hD(?W{&9`q(-9Hd`sv88etX|=U@cZq)Ms0b<fg5TT5fH^N=6{>>6OCvI!%#(
zOX4`Vw7dIpoR$#Fs4AoZ2Y3gxS?<@(|5BTO3&R|NJbK9`ktRS02ttLcN)iCsT3Y=L
z-3pZD#hxQ@zs7h`?@{OC!?Ty7S>6F#(xf`3d?l74zx#-VWkzGgPa<SVm$dpRzWw#(
z(_QMpPW->G^$#ucj>81H4rSmBX)07wT*?#LnTdTep%?;A%}-z-0${G_Z)n>OwZ%o3
zY*y;)e#EhSY0$+La{?5H;42O)0YoH-_rLuy3WeJ<mLTK$WyO9QC!STiMoUQN^Nl<o
z4yFmiP4SONdPnE*NkZQ+QebAR7^Xh1DI4)(AZ@$Y(2|}0R7e>_VfeOf-x}ZRH)ZA1
zM(y_k=?edA7(j_O7%H6T=sJ8mAv15dMonbH{<4nl&zR)5PipsHR>^-Pa2F3xLKGA~
zPzJK7sRC@#UII4I0h6zBuhOYpvxHVf0IcO~x@Q=p8i5O}Y_O*Q(q&p)(+q7H=Y!I3
z#A~VFqpXV_rPs-UKc~kn?6YP+uoz3x5ckaeUF2-=YqC6(1+w4$?3u%LfToGP)r`Fv
z<W2K|N`N{3T;~^?<i|7&K~M3x!@e{B3+}Xogi!k{!#!8_mr2JXzbOCtYC%16BxrZc
z=P*t6G#1FEDc}01pkB~Qp*Z`iNN5EMaRiZLUCiMhrZdUU1Sv?#b{+!O;zPWe!vQeB
zcPQuoJNy94){u_AV;x1+Tjr-3Dr<zHHV~STCgaRPw;m@4)?Ez}AW!4{nr+q^6^4|W
zE>jaXH4$Ke2E};B0%b{i@Qs1#NWCJy9{FBiKlzJ0GgF2ae=GC%GyDMFrAZ%D?{Vxk
z%4K$beK5etsl5LSGXT`zuUJPlwmyyVx|~N+kfp$e>S24RQjO+@t7kx0;$ncC%l{gG
zahJ6$2PnQ^Wc&5e*Qzhx9m9W@H#GtmCdslj`>iWuR_*zk7(FhO0WWlD0utshveo@V
znxv2ChB;5{=0PJ`2>2C|O;$8N{j+d9Qg4;8?tp!*Dpt#WifrH@wVtP>0#)Yx=3Ofj
z0&p#D=LHk7YH^yc_9m)==10$5Pd3L!a+K3W?D~>;MjXA_I8<|;d<y=^Bz;~P9PFyh
z%(RXeaIsNL6&Pd1b0Ec}$#rVhwM=>P+wyZS>XvGmLxG{m94>;xWMb6H5`HIYFbZlW
z`W9caWLq0ugk|@D9i^#`fh4#@!&r#!H!mkQW~yX>P``Y@#P2~)b__i_$-!WX!GQOc
zefy-J`yRqwB&?7AaLuJsy**4KT^Ma1+=vviIydeXYN=uU9BEm>DJf>H=By}qqgAcR
zbwa0UYeKd-;ykmF8&%{>Fkr>GVSCasIIt-2HX>(zINJH8_-z}1|6Nk=Nxbk~Tf;Nr
z=?kjU37pSuc5CU6nrfpQQ%l4de*Z+~77AsFpSYkt<eo^sfOkyxpl#>${Vdbm__)@t
zM3$U9({~f%`OWXUyxE~-RpF5RQ^U_emmw1oMcTsVj@|ocCy^0FGCEDH#wlaCn_O3V
z1~%MRnzc2BWzk#L+#j|g1}d*#_3imZy<uV+VBR*|h$_{4T4S*?PwH$-@4|^4&oZH7
zQ>;E9d^Wwg(i2~r#%0>E$?v?%>4ymS#x~>~1xACtZL)a@2OLTD9ffpcB#m3$&Fodm
z{$|17^Al}<*2A=GI?ZWAgbRzzKBQ<}<h|V2X|!y2!DThH+<JAU&v2!&HZ<u$*W}!r
z?C@8>%7_hs%_pzV;H^iq_Fohi`wVBud}Qh$0~it->*(V5Yr?^~{33|mBh$avq`agv
z($UNMVBt31qrkoxiEmviukn@5=_EeX8wsNk&G^&2L28>fQX%9e@d4dI!}2$~Q{%EU
zGML}qt?lghUQ}Y&vq-MS*4L^C5wgMdH4DM6rFEMHim;ySY<o3JQT#Z<$Aj2;cTq7E
zVgSla69=1pe&ROVJ7_y!ivGK|{4~Ul^-=r-l!3Wzx6YcmQWNW=#eSD+QTwcmu4mZM
zFZ@;;_=MPsYJO1P*67(Lixd5F-PZh8^y4HXSw`e(UCgIH>aFbO?-l(Dr;P?LaGY;Z
zQPSWJ1&uhoIyH3dz8OvEzir$y=kWUDgG%n$5`aqSK2Nvaoc5jZE4ts&S+lk7Zf(uh
zv_Y?sZHe`<uE@K8&5M937dl}mevZ#9<BlQc5SCd(ow{80ba^DE?LoKdA1wsP*K3O9
zs~8sQw=frJ32f-!u7bBt4gP;a-y((N?nf{Q8+n4%51gIn3o~`bYV<nihw)TZ$<ZgV
zjj;N<6$1PzPbOAna*MiaB@$n6mv7`m;w5p9lph@~)2LNR_H|8Ax#W6(N)JifZ{+BC
z-WbesQ@A;Lx21iH9y0wmhRvwN<h|g^hY%coaAWA)w?7ui6qRPbKK>;Bp@nJOQ~pBR
z12HSmn#cfp?ZMzdls)%xf1=>Lo~4ylOnM^S;kb9$fU&XK@A8Il{I*v{x0Z^0Yp2?3
zXb~#?o(N0N=VUC$=8svdB8rm0#@9|Ip@W|l)xS;Nzc&&)GZH=Hcln*@QkUaX{k`ut
z(C2Py=wxDGP>mNBa{)P=YcW%yM@X=G3yB&Zv$Ci7bYs-@2iMo^>!2V!N%L{P3cp%3
z5DP30gn_q2X4(IQ>Q7>rS^U^mM<QaN4HN03z*9))5j%(TL4Pgey_f<5xxiwC3kIzU
z5xjxv_LLb!lgM~Q@Cg(+V0({?!Zeu-7BM?Ke<qXG8ecsA7`eDa&tTkPLop)eJ*+V5
zs~z-hdJ<fQIC_zrc3Il#eS2g`-14xn>UGv;ddx4iMl4KTD6hCKli!9z7S?Y&ub+k!
z>Ars7ZT&v8>kBxpCR*CN_w%o%oZg-_-&J;|dv0D;SoV9fM66vNO2b)BQV<UM(ieMI
z-wfm_eE&;tQ!~Po_U(LlYELq>`5GdN<0C844-LHSZi+a<Wl{Eg;11`6xGc~$Ky%21
ziiY7M2~Y-C?kn&{9{2tq1O-}Ctdn!`cM?Jf0Ec!OBuQt4A@N-{)`byjrUu~eYp{vO
z$t9w>BLH@c{+WG4`ORpNts=~qP9Ln_5kL~WIYZreAw7?i>uK{M-fU2mC2y&y2Xw9}
zS(@{?&UsI%(<?`2sek>n;1<QI@M&ovl2~oqbF14ayS*8Xu+TXB3;AaFWJh~r=3Def
z`hGbx+(O4!rU4_9QJM`m+TXk{S~hb1UeC8a;PAe=SWCa-u53Fp;ycqiU7N+(3Rs;q
zQ=A@Mk3DJjn7Z@z&l0$Yf9?pj=9ZFt!Zr~t8^89Tqs7fxnG0Jqcj)LhLBeX|0{ba*
zD7BOllC@+s4*&ogj0RiG#ZO~Q!(~9}$v-?m{SZn#+iX>q9sOA%b>Z8|Pf){hv@`TI
z5_x8_11!&7xJHIYdKS8cv??g@O>~;Do>_ndUeaXfc-J*4voFGoWj{T${XAMLD_s2X
zyhw$paH#Oj1sT*bE0Hn9v2|uG&1<&<Y4J~lzTdX1!n9em!bgVI0^x0^A78X?hdFLn
z!x2&ZvNtb#z6|a~PsrX?ioSouLFwLSV^DE%(3xK54lWiH>`&lY62E$|9^KsUh8Op1
z<j!sQ_6(J3>|T6>K%hl+c^dSS`??@2o}ctb1Ky!@s1P|^D<9M#lSq73(*A9asOgJ<
zT1ILx2zy`<mId2DQ;RpRSpRL8JX$DmFebU`S4P7icO(<yzV@2&MZC{2yB#b1&20sw
z(f|b>n^Tu8i`z*vjW#Ag3?R{Q+g6>J$Il)%k%#?Ie671+_u->?$K%dKqw`*G_7lTa
zuc5jS3eWW&P0#|FE5S6<n~kxwIXdyha-@1$&)2h;<%x;w_Oe?DvS0mJ&4^+}O*qY;
zn`^2LTJ$l#c$@sQUGGlBc|+M3Qg<8sUVI{*ml)+Eg0CMK&i><|2Yby_cBfVQe4XNJ
zw`fMO?Mu3G+amS5(dVx%tAHDwnM(OD42EK(+4|R@y5Tmj=PA>)i9SrV4!ao2`mumZ
z(yQGCaq~cPDvk9j(}T;*B+u2#e);ts8sq~wP{u1j--)=8s{fERhG>H^G?ix@9w3K1
z87!kd4td*<KH8~yFwh8aFBe*u6+4RS2Jj-G$z?cZ@e4-nq73mPr)akuG@G4F8`Vb(
zhSusdu93Y(8$!h^rZ-XHG=CCs&_3Bo>AX$F(YzSWR*XIBQhph&O3a%@8RhBBs$67r
zJ1oioe{hB(S9iP3q0}romy;~hly~aaYe-f1Q0$D7r)SykVkI7j!fX56(U6-1a$9W^
zvHPmW;aWl0t!0X8_RL?nPC)P*E#xenPcC2fPxV;4l|5;99n~`Hb5)_<Vi|p^plQM2
z=@1{t=Gwz>Seo(#ApT;z4j-|sD%wVoe>o&*_b5djOaqFSi-zJ{LVZJ4yC2TgHPOKU
z(c%IODwUU`Cc{9j?EFDlY-H?_9b}E&N|4+Ei;>)fRK=aHruQ{zZo2|Dmk;IhaYj)B
zVtoZztnu?0n&3!EHgM0&&EG^iK`j;Ew=tGTQjq<OHoHD(_XqjuGmobdD4rH$QZc@8
z_;=fc<4(mJmm_<n3p)etkMxC{0X}LVvO9lZ#Mg-$sDt|3x_<sDly*uqz4~7m=0|hf
zY*~|h){9pi!33$Qdmv#NUVtj{V;dv$$Fzkyhi%A8mSyM_%`tZ8(VNoPt1@r6;YTu8
zd7ukdAb{YsNah>=%>eT-VEY8}d-%BMO{qU|@Oy9j6;yrLnDx=&W|h*c(1Z4v_Vd9K
zh6L{9-$!JB`1phu8rHsxTs`;Y#>!`;-ff!~!f`GWso0E4NEI5z$4w8oDn>D8<9b~I
zZ~Fd6vP09wyI5rrk3IWMhu`kLe{`bXeWqmn*nAvNcs@1f;29P<+fP1n5^q<(|KM;!
z*&?oHTe+rPVdzzFB?!OpVQZEfznh5++?2}=j!)ipKgr#`8IEr{H)A??`SLY~<(Pd<
zQhOr(KTYMJ=;(u5yZ-2=pS)r?9+z-vN*mWYgrwXO9yYW(VW#7ulI#WyR#0Ir-)?_S
zk#Xg}uV1_ce5t2p9{InWA%?Um>0f$!o`T2isPGaX#IWdb>49#th*|wjN}!P<EaiR#
zl_LNv1Q%_J!dK7p3GY42lA!=&3w}H|X5z8+pJU#`=pz<9e?nfo65#5+T1<UiUR+=m
zoET17wn>@hbNUBy_OvSN_RSb`e_4QMBJ-8!mANjP{!OuV<exG;IL|?C{3s{tcr$f!
zzm2sM#@k;5DzKP~W$UL=qQ~!eJk*&M<-0@cp6r!Z{Jmss6^#uewqIZaqO&z9eK(Q>
z{kPAZa5ILcq5O++geEdiA^+(G5G3R5damRAtlI-=Ino@;^u&;~bp|2Rn3jJIDgQ(m
zsk;<VB@7^2>$a3N|JRfNfR_Nk`G|5gq{RIwDe-Vph~LAPAnW@zqNiU<9H$E$<zT@W
z=l_`vvfuK|&4vx<>lZMNN)irn#|<qlSVk`dmA-!Svu_*4QJ8|BO<G*UO1&v0xzO4F
zL;LZF($%u^D!6T@ICx>XQQkviX)OKfM@!9&BvI%tlZ8eC&mx@L!F9gOW&51Id)@8v
z)e)QaFfLElO`@pZZ40BwL0HdV&K_!8?dM6a$KSOU@j8$Da>}YmtL9pw%z{vT{63c6
zpc2Gp-NGWRKiV>F8N102{2yA)?M1p`@z0R?FB28aAv6!8M#_E5x`SNI=|-eMbJS~$
zQ<=~l4P?+=5={)i5V)>a_dXfeL8QWu05L<`u~w3Ce!~&qn&GPyNZU1{hqV6c2?8Mv
zC=jp*YxadxYjT0H0Btqjx3@}yMj%^R!9z1Go&stE@E)Q<(PNJhtNqkaf*#e5V%{Cb
zH#ZzbJQaB={Bl_R2EP5raoQO^t9|wu(!guy7x-fq(wA5$UWs^=NO#2^UG5X<=UbOY
z@p7Ikzvp5v9tgQL-)x;F%J<lxH(%b6;6G{iyt(ZcIO_HJ%&ILx7cz<B$;9^F&n`1>
z9`^Nd)8Lvv2~jspN-Ys+UGW448>nOJW;yP?v(+Aw_&6ug<tKq1yp6;U??ebAB|xiH
zC=iCAA?dvS?^a=!_7BEnL5P1Y;|zsX=L2oWbd?XyvlVN0*eL_#AM^F4gFaX<x~xi)
zCIaN>5qw@`SSdS?qeVZ%CH`<W`>S`pfg+O^m;bv}o%MvRcYT_0a1n}(`<CGdT(p#`
zvdGHv0EccBYrc5riL(FTF#I;=Lx*F3+rBr|u{vcs0Fl03Q@VD&**KdxK3z*(=|K@W
zs~zwmu)8vFJ$cqS+ln$(qx}2MZSWQcXQHO!^!dFc3+jkez{#_9vQRJ;$AFE}Kzz7b
z@+v+#6cMFbLIkH434dvYW)#NM`ooG5_rC3Wz5;a7+cS(tE)fEb{|7~?o39WW&QfFT
zQFMW|!zeHNITEuh_4uBljB{N5Lp5r=bwh+~_au3?Mb62nJMtLbACaS1illEZjLvE)
z5|MM=T%!`bM|IfZOLa~r3~#zM?Go#Y{B(?4TQm?jg<DhEuX^7|nc-6zUSe@Z(;=^Z
z;1^3oE^UV3GF0iDUSuuqm6@NzJ^bKd!2WLTp`YK5yIJA`oRHq^&n+f;t(6b#zoY2;
zMWuzH3(ZTLrDeXK=k=<+Z90rA-Tr3M9$u_7AnsFz8Gw`^yXs~}lv?eVsIV0vNe}CZ
z10@D7{4x%+E8_0VSbca@4PU|+eg@yCXcoPwrTy09H1D(y(%SpCs2%(VGxl@=@PG#{
z0IA0yw$OURtki$QOQ@Vb)e$R}9s)@pGRkZYd+-qX9E}jFM|m;pB)}C`C?Ls`r&Uvz
zamLF40(MB87`lwJ+hEGum$SdwxYjt?!$T)KUPO>gZY2LC?<0ZSUB~!(RSMYNoy*2I
zUJS|3bc*Ot%vB)qmUI0eVN3|pul`f-`twOt^S}cS`DU;&mP&gJP%RdGo&UIYIKK3B
zxbrsXQfU_L5$3+@r1bKh?-ac~5Up<=wf`ai)bB3&?lNGlaq^oA6b7WJ@u6%P@iLm<
zTA!+1dp(acbRQ7AFo4Sh_f#Ov<j*4WV;}Oy^iW?9!}?KB!-VZ`F68U~r6!?bdI($*
zt7boO&r&)8{B}L%lp2ZnDSS4}j_?guJkio5wH|m^Hun-XQqWiEps{es#%2svkw9<D
z1+|5f3*!2(^@i&6GWnxw^N1NL+0;Jf+&3%DpPy$VJP|lzDZNfNRoy}|6s?E&=@zU;
zSC6Ngms9$2clwC;vDeR;ba?)_&Nc-5BGC|fH<m4bbKCMIac3Y7+;k>BwU!+(X*cfJ
z-K))#b(fEYM0ih~e!<gvkn|SXAf$tif<g)1O_v@`mp%C$>Y|nw3co0XOz}w4y}t>4
zNDLkn8O5Yw3bC#*71+u4_w@xg1C-?UfX!&+P_pa~O`KdjP0N8EX^bspLZ{PuJ!6?t
zJ_sdw*zmrPOTNb)omnY9CIOon_ad{)I5>xL3@i&wN}^|+iIPnZx4E*8mhyf@O(*|c
zjefDJimCW%R<>XsABAuP#;5#g9G}Az$J$A{nZj<z=k3H;<+!<B#P|C+cp{5&dGkSn
zG-={i5A@r<E^ui3Bpx~Lot2ga?9(?KeqZLAD|Sop&<O7h)?aXcW9meM27AAVp~a%j
zxXsMLhbaQNbhDH(0nQy9PbW>xZjC{w4N6wk4~MWO0SN#~M}2q#dR6?b2#KZRX$4&F
z)1?zax1=4K1yRPIxFRCX_UK)9Kf@$6Fyu~p(59m!l~I7iCtZ<aRlND<Wi1#mPX-mx
zOI5}w$6Xb_nY^dwXZ+;AvPB<T*`u)XEsGe+YCo9eSu<-T0(7^lB;;*O@6*3~j4ID#
zp1f+lK!425AZ%@$te7NoDU8>N_C7G<53<I2I)0_ihFkZmYjNa9pDdT+wLR0Snp0eF
zJZPhc@I2pH#FsQP-`x_i)_57UhZ723Y}MNLaQpfNNCwTm8pX=*1`Itlf(Kez<}}J-
zlF$eF@HP%fKlp_fId#NFq6R$t3e$y|->ETgCHezu$etC!y4tD*f$=CvL67^NYK;Nj
zGg+6k1`en=_`#gZ0}TMIG&cA%TN$Z9mRiP85+ez}!E@rB++$cY_zgu949Vhx&=wcH
zcqxJ79C~@<dpYi+d}W2y!LToyIK%VnD<#X>oZnr<!a~&_ueyBELU}8LY32p@&k-Np
zFWw01MkS)1)7_v~Oixh#@i=9(ZEs#7W!XC8xUIWoKEEQPG<dq-MHju@-cu2k8FA{M
z=BFvk$qcLbpnZ}zqBFZ=e%@<s%jY_v++A!jQ0ovuj=jMjzxy-;I-O3_DaIbc1bfg}
z@Sv~L9>x8~+a*QK3M%S>r?(aCF5On_+a5X3_N>_}Er7m*f!&8zMHqqWlJr%^ke;xm
zcfl;bS{Rsh25K<t)41=3R+`$XA7}{@_mJ8cNdEONt8;hYLPW|t6+MeAswST?<SDje
zvl%vdv#GkPlIUiYYz}zhF$8XqOt-QMvos&0+L3Sbpl-k1*jv0jYH7bGWM2Dm@9aGt
z5IRCY{A%InPO`S^r_IaIHFS&hf4t6|MDTlr)<vc?r^Ue^QK=_FRK~NTw4YZ~Jzjml
zr6lN#v8;(31b9xL(ir7z6CPM|c~4k#`Av^mwb%D2JM=YyR?y<XQr=(wG`G$Q!pl2@
zS>D0h1{#<m4>8b#Wu#7z+cQGG&5H7@nE7EG(6wjyp*_58ef`rtsk}q`3GKA%o3a^g
zFOoUEhCT_-2e;6O-)t3g_EYM&u0tafJle_6>?YMTYg;!R`W^_I)*s*YvoiYiN^(19
zH)m`qUt7;^mU8L)UB_*lt(77U?@ypikX+W^ByvMm#8mr|ZWgq;Z;<a2RL!bv*?Qe{
zGJElyi<OVB;)nFQ6>VVHhZ6;!)V<+h`4Vxb#EvIsc*#3QmFxoO>^XLnRt;+A)kq8r
z?dMGUg4~Rjl(Z*iR?Qoj`MPxl;s62i^h+{kgTf*@Tl>Eba?ooe6Zbo9vi4-eOs)V4
zJ_Lxy^pg~UtPSn!mCm>7zR|eEVWVMUbm-vdM@!n7wU2yUA_o{zBzmwOQrJA)LWPUp
zr`HZ)jYV@8b8_7jI<W2(+->1}y%;mL8!J#hUNw?<bCT;}-2MCGn<)!A;Z;}XCpT%q
zD^FJmSKgXfYu*_8wZuI1)AzeIaheG8^+O50NQ4yLkWiA$!gnmvA7}ld*XWk3l9qpX
zo~kveem6m7)Ejn1Wy6=gocC9g57j`>H94{?u7BsC?(<s1P2k$|xMkj~s5ST7IoERQ
z^UJLQBC2q#BF%}`!s+iI)PMP$YX=5HcpzEsuO?2#2O&k^Xtt$&`R2Dm7dG%pXj5Pj
zz75=;k?1Nz=-$N!tvJ9QV1D6mC%)bkO#OSJcPae7O#A6Y#`O>1X_4GCYZby-B|7&#
z1>dP1g=fVZ$ahZowZ_gh_I}S2zx|Ta$UD0XkYq@Qh+2xQC0N)dzEVqcvB-TtMdG*d
z=<Zlx{3QN%UO_O<KBrl*IcLt$u-cDBW1rvHXs?c>AKcO2Gm>(*U~}KAC=0E(BTZBM
zl+5+<G`26rtz{S6f|^@VSg@v-co&PyJmQ*n7bDGy_c^8_>zM4`OQ1gxN0I=B1H5pT
zZ=V0{1a=<<7=hlg{#vGmzELsc)RU;pGfuUAZTXQ5lR9QrFWT5ASP||8nq$(cAY+(n
z$AWd&r;gU-xDU05_nlspGl0A_Ih~g_GaIi+PG)*EK}~>f5r@>7z<GN2n_r*7?VBMh
z?hs6G51a2P+&0~Znb6GHtpOc^fI?x#6->NnWYp_|u#dJz?ej-Z>X$ig76-PTPo&di
z%%x9Kjr?33I7&NffHt1ZUab-+3%wc3jyJe$2N!)?a1ak3Ff<MSNYqWH`o6=yZFoes
zMpYjcbTwwWFkVJ}cil6hm#tin!3Z*iXy6a>^|@<um*z~O>X_S;^p2&h<uff<o5=Et
z^7wk4`aW~9Cnjj6a8nQq68Isvwn?x!t|SJS-qO?FJjksw(Sr!wLujz~gz@Gz8_y&p
zl+%CVSi0@zFUw7%!}LdxPqmG)@0d$KVcQUYzSmQp+AmB+u*vzd5Y00iC`&WMVLWAp
z=}y>(WHLSFU<*#9ba4Gb%8v21E8>a8#&AN>wQqU`Ll4%o-$oZvf<H{1N>7wGZJyF%
zSA6c9Xy?ic2QVSZ|C}JOMD*r%^maaEesWIqdf_va!+YU@WC)e-xtB#r^(+-O|9MQD
zWvXijj(y|F_>Hkt2M0ULqjLR%VwBs<)L%H{>c>|KShl^(Wrd;ym%unxIGwKn1&g~t
z+{pRi5>r<d-unuay1fuRl5dzEY9qK7(L#6+q9jEgP|vaP&E=ReN+#r_Y;2CI0-IdF
zG$Z}X|K~J0f4ytn)p!y65MMQI72`(&3qjNp@Ui=r{BD==#Q$@X`I|K^8H|%6`rwfn
zrh_viY2;xsPotHZE$A}<EA6hEcVMRh3TP-`ch;gmy8S8}KG@7+Dspt{q%MP8Ux^sE
z$nzIySgz%XBol}oSz2wVWN^3rHNiUSnNM)_K$o;NuV;+!gAV62`RG2|Xpft)X3IDO
zyV-t*8Pf^wDUlC|MO(@fROshDtsFBeT;f-T>2q`Hnua|4nK-G}lc2<RG&!@j)3hBx
zbv>^L>P<5?gQ6u41HRYIY4wIg?S61)aQ6ZNY6Lc<b)Qd$61S>7v-@Q7nTN8tzBC3a
zE%8PGL7&I5HtwsZDyt7rU>UEQOZ@+BL9x$b5l?iiA*j)KzY1q<Jt_@Y0n9uU>N+;5
zNQLn3nMcVa-v4(k&laN4h|jV8_cZT)fEkd#q)qQ?JVh9lC8m$rpv<B%xXu9$T<4%~
z2QxTJ*tKT*-4!@QsQ>QYN>>P<_?Ws9j~vzZr|%85Tyv1w#Y*k%&$)}p(UW-Cp1a#I
z%gDQVVbptfbPXNwJ*~LfZoa#Xx38XYQ*PMv*{eU9v?&$FL~(hE`Z)yHrH{V*ExGWb
z<J^k^#1PSKBL$ktTH^(|5OXbV_7af0GQI46CO-H>Ejvw{Rd%I=bYbuz@fi~b_T;`m
z>Gkn3mH^|8f%<pC6CuEW|DPazi3>bivH|CcG)J2O`Bn5QqeUFyDwnw#M{hyrHQ*x?
z<3S$;1Vt`?RPGK&qK+af=-&Z!=CA@=KLWHpkc@v|QpqtQZR%HsX9pb?)=F<>v7@B9
z@XJ4+uD3c)ZF(;E3_U=xTd^=-7VI;|A9UC~p*FuhRa-o|{q)oDGPY0?Bp?U5mhXK1
z{-DV247l&?AwGEIL^>f1E+_Nvar<K)Zz*y)q{>mhQ#ExO3{PRmiHsG{X07|V`mS%{
z7PUC|6R^pIijAS~7hc7SVZYZKWX!l*iwXMB!<FcHIB5-Q<FNMVs2M8sN@7;A>mvvI
zTYCv<_0De4u<>Q0>d;GZP#p=B|M0Ic0$c?Uvzo#swMNGIPnjXdX^~C|fj|w$0ROcO
z982P8KMx_Yx<tNaWJ`_4xMi<Ea{}CSSWa3Ta4=hGgG6_<foF3Vr%=<0XwVfHma>C9
zGRCiv%(XMV6eVb16M9MT^0m~ul~aiBcll;<Q-Sv%ufH~*0k8t2C)RXLzl#P-#qaFt
zzn$gZ|1~1w`WxJl?)!Egids@L|L%dv^{A@y0ljKWi^<!`yH%UJcMlEaz>xyGlxOuz
z#vQ_w1&=~Hq+@PPRF2ojl;6!|c~}?@m%3ITwVRD~>6wsl^59o7+rjd(wIC3l)7BKT
z|EA)3IPjiHy11D&Wa4Y$F~0{I@d_vv=!H-1asIF;bf^u*YTZcI<pb9%G?+ju?2;q6
z%npr$?|o;(pd5hgQW^Y67_R2OHnh2j9Nv9%ZDXo`THMm)5{cJKG}FBxI#T&_z&+D6
za8xDe$rj=N$JAQ@Mb-X)pn#-wNw;)&vxFi@ill&mG)Q-Yq(~#(-5?+xi*$EONO$KF
zyZ6BR``>$K&g?KF;NdyXdA{|D4wISno*y9R<E9;7+XWs{qrc;pkK%aXOUQ2{em0Nt
z;G*we`RW-C{K0bvNfjjYx|1iWVIax*tOmxo&#$j>d~XG$Ggraj;|HFB@~fKJs~t<S
z;%$OkaWtMv;;-v=lHKjl%9iUz%el{PM|;W5SC_yfTVIeIm=~O^nrHd=hPE3k4au|G
z2kxx8%XPnxz2f{8_MflKzOo^!`akiQHaaa6q|4QpP27&c=fyjc9j`oSUy+B(I?WNK
zo5$DW-4yGmsvFJlKf#11RHU?!fK-oAfd2nj|4WFPblZ6Sw5VC{WP&YK-vn0fNZDc)
z{5JC3H9Zc--5>rl48id<f40<sSNTU$zJ#?fc7po*Qq~DZA!mR;W8Y}63!rFmdQZLW
zM!Z7HfH@vc#?$zz1T(36kXRq&*+6nutw(NW_!Da-jbAhwB=TeNXyMBb_EAyDW<2P^
z4t8xf6<!Q3c!6QoLrVC`ICtXfUn6;#g>1%Wzx9*IN_&^JPTtY_VLJ~#U46d_#LIg!
zpUB;tzSW72j#^etjC5GRg#lnfYS6sb@d8`>I>XL;L)^~$Ko^X@A?(Zi$=<({<9_w~
zBKRA6$>H-BtVEoB_s0NTxDtWz-&_`vj9!^R0A8d4B55Zuhi-T&GO+vS>_-7zJkSG(
zDC|o{jKd;&4<v^<LV>1*^|ZuR|I<vc;DYyruAzMNro<%KwK+Bni`X8_p&YU}W>(*E
z+ftWr0w`+J$#8!|RwaSX^2oPQB1wy3evA)HnQ*I?R9F!AGo9!Zy48V9tk{XAWcS~^
zd;!wzZ=aDtG(=E)!{s289$V5AfdLw~UpA+i8zL#>$g)-|4}W&o7UF?f{jX)$zaySE
zd%vN1Ax(>oO&fui<fd4ryM%uX?v_a|(9Z;4FS)F>fuH6vDo5CUByA1gxzA2V&2}RD
z#Z@CIyygpgMOo0E0)?bkhaRD(U#<HZEq$kK9_<*9z?Q`S!52xD4B4ll^ni!KOP|sG
zZ~L`!U6$&;lW!M^<-ZVjp8n|dGFGowah@zgJozAS6n|Gt`V5Ss++o&z|NqAj0~ld<
zfPl*vk#P|+|L7=}gC)|dIn&tYZLE;j?L#}A9>NWd{2v8b$)8u?fkzq_GV1b9F5;R?
z+9j{}QuZ|G=af;ue$G$%XjDbn?D0S3#G&+o$Cs4dq9URyOo?VM(0SqP1S8-xbd*9)
z;=?Xw&BbuIe@H8Q$Dj+^n<|1`0`B2=*S|}=4d!(oNtO#wk=!&fY>V_e0`c9_WD+wL
zPH65L^-q(0&)kxtTi{$CNpPToTLPE&AMZap-+RFxZ?L^L4M69aHuWo>XDAY<0cF6!
zkf|>#>z#M(8>P=a|L&jL*UGi;_p4Ehu*$*QXDsEoAmV)KXka?hTGGGjE?R<r)-lcA
zzTHU%IgwSjj@y)B(r$=CLavf-@<1`({4}PpcAmg1tq2SG9RA-?Pb%vV@RzUa8SL9E
z*&5hi|DMa~n2E@Zy7_=2HH%iBF*n|Y<AIHV@p=DEHZtNZJWG-Jqe4)PEkZ`9?D${A
z1n;Vmn;M$ci?g=FZwwt86bDk-VorP!eH$Qzwpn{4Xfsl@VH!IAcLqm+d2QR}!(pu5
z7CC;sj%<6ARi7K5zbWRK@MSuhY<`bA`Um%Y+?Q8&=BdFbgo&0X|Fz|+DJD<G>X9np
z)$WZYwJ|Jg6u$ap`PgoC_<0|LuoivqkL>*VL{}kwqQ{NK2E=17%YM=05L{8zDS5>u
z*rL<Q+SLgMF8lMlX@t0)-A)yJ_&LCHZe)l&)*+kzQWDPKav9~rZWJ6?QaryUA85Sm
zKVf0{n=R00G~dW@_B_?V)Cib#k}`~>+)J-=R`ySZ0@{UZ#B0*a0j_jrer14|pb;Cz
zQ=^t8fKm0#K(-iA*@8Ht7Fj*vtUz!(hs?Y`MqHPcZes<-Q&&K?7!)`G9f-}8&QxXT
z$(b%MF;VdT!dJc~n+;-JFw!5bGYe!II2CW3O)+$>?=9PVg|VZV<-UG@Be9)qoG6s!
zRl%R~3;KG4<j%zA?-HVb%4qp(GKtE+6Wl;?=jVsHcUOzJ=)QYXbj>Jv@AW4MEM}La
z@7i>B)JNgAYSXZMU1J-ugN)K=FA{VhXt^PK1s4A6x5{VnpENC92PZ{z0Qra5(x*kr
zk{90kvipnlCFGlIjuXP=b)C4$*l0XUFskzt#b<6emtI{L7qgAvKiCrAPdH2xUy7V#
zJ`*7vJb(%)?Gjj=4$nRo*zLaUN#I%aQcZywz%3Qi0WEECxT<|S{yf5YIBN5~zUgj>
zP7?gCx17aE<D)O72AC4{R{*m>a)6t8<69yzThR|+wz;|;NRyNQJqR{Qd8Rt2Xml&&
zHYPv*@?Tr38S{f)v{2sNgw{w&_UriB9hl+QL6Ml;gw|~8e*m>!h)1We7xEJx2TW<t
z{%d*i1RG}>`ueCEEOtn~*eKy1n>_Aw51Xm-Hcj)m*w%OJJnIA5pS0aj&VN5!%65qk
z#dEG&)##XZ7<T3Up8ebl*!4p2j#aYLWz@<qbOB@pkq&30I-)tvgb4iszk*wy$SFiZ
zm_*J+4bxkvr*vbrNmKU&*r^cjzr~tPgDbLVW0od#&#I>n`fNoIPV<YT#>0kN$K@w_
zRy>4eC6b~*%>+m{7;sO0MoLi=wnK+fbL+HEr(%|sW0Hu{j)IydPR~QojCZq95gAlR
z6>KB2b<_O2c{<ctMSo>dR`)stjwVOlFPF;1DiJ0t%kP_wWj@|U`(EZzM1i30je?^(
zekj9A^;QarQpVUV6x#DPNfsD!d$@ayKjf=GD2flfMEYhk>l0VzzE*dSC6C-h(u;$R
zycbRm-i-}6*Fg0$`q%MzsR;z@e<$I%3JkCz(!^t?8XpFVW3H>)4$QaN!LSdD|8aHi
zQsIiwmQWm#^H~h0LH;$~Xgndh9}X+b{_$F}<q6-=eB}S5-l(4HThhr`6#WB`RP<%k
zvU&SBn)07p1FfnZf_FQFZgUTHW}a9C#_?^%S6!a2TR28bws^^S9O5L0VVsOQ^9<(Y
zKt0Xa!0SJ0k^5^M=Mwv8B__jbL~ais;d1513^j5`8cF$uuMd+cK&A6QC9vf)mpy2!
zko-ID^TmGi+8jGNp_}sN-MM;^gu_3FW6qs)r%|jV=xL~mUDH<Lcigv$1M^p7r*fK8
z>SiM+DsE(4J*PJ*bVDZm8m}KoIGA6Z32Kwa%my19zhV!0EAYuNb^&$oZP5XzRQzX)
z=bsSm1rRXO4^oED2$*#a@M|-M58I{umfm=M!b%G-CH|)-5VyTPH<>%13^-$&*Dv@U
zUxU9fPU#v737)-p5l2t~VouV0KHY>7g|?R9W6)`IwelC!tuC$PmJ2_8H%0A=ay5NB
zs-F?gjSm=Cn|#iASy6M11f*<NB9TBH<kGJG>Az+rl)A&5oK(CgSs?o3@5z2^!7yn%
z#8$=v7r@r0Y&tcyj`b_hh>oO_R51cas9V>^Rz>BvtWKW?o>EZLh^KYtOm~RKv;aw(
zD#;U)4D+l~j3lb4i%jsSlp?3$-J>Bm`XG<1;77o2;DBdyC-Eb`p-{sve<)Qu<fviQ
zccP>yQ-sU7HzL23{feq+kXg_U%e)PlaMa+g?=>})@<%1e+CP6a%Wi5U;e-1931@A6
zfv+E>+}*v`W%WCh6&TcS!5DDPY~F}d;DEqK?A+E^ss952F)UlVH`OQum*70LzZ90u
z>M)@Xb<aKvcd>A7gA@o55fj^B7I)4;N7vxNDftgI*Gn1s2lN~U7$e8@fgy#<$XCAR
zG6$7beE^q+7AoAYivXAd$unpEZ?Zw4@DJDI2GnDgBHD0-b8)*=P3Rzokhalr&?~CF
z4xIrQ*_(p&`>L}*7<rWHAe-+^-s|)dz}zFL0F5s0ezIpd6_hrMkWgQwR2un2`pI+&
z{Rxezr*mlEO7iXIqQlfY!rEixdn1EL=-$-75tZT0xc4bmKN^s`nzm}qMntaLiZTQ)
zMnzA=Zu8@n?<N`2Y|q~)Ji-?yM6p*%DOljBEKxWR((1b96Fs5M*ul#Bey_7vsi=z|
zOHA&)4k{Y3T3@XJjeqa2&<6-(hkF#qV?0-~Gw~r^V@qA=UIk2k`aixoFnt1FN)R~W
znkdL=AQZj5#o8P#B`6MbJVgQ=oVz($SlW=z-=;|erkp(af0&9oRdE8w0nk|x!%CY3
zz^<?T2z2<Kr=GhBa431gTMLt)dG~1_+46-^&vQ8@S-#W%l6ZA5Qy&S}tuoTg@XfXa
z2&=_J@S{t=;P8yYm3$HJVGE+zlFX&Gm?tYk1!1ym)kLc5Y}}-g;9S}2*H(Cu-;3vs
zyGV_v=Lx;ozH1vFhEr7cb(2=-Y2yG~hVbw&Ql3rs;1g!vTCaoS4EEZ4%3CwQ4E##i
zynR7*CyiH}W;($!7(e@JBo&8rBw=#m-+7bTtKynB+2V-B+FzU(W^MGo_x}BwlHx(C
zZU2pOy^U>Yc){5E2Ezd>R;Y<;drd`s)i>DL^VO%f^isl}oBgqv*b=w@;^sLopunz$
z^$;1HrcDwkk5=qISi_NaB?j|3IGhXm;2-fBe2Q1TU>tV~qq?S`y}QKaH2%x>>BJAe
zuL%3c>GwRE0E4X`;NC1SIW3WX_fTy!lnrU<&qXKYUGJ*ja1-KwmQhzo0reaPDc`O$
z@#qmE-4XX!Baz>!te;@-<o+94&Ac&`=L;E{F?g|NB3U5RjtQmN40&IontAo_1w`1R
z@H?Hzs+`UBNwE-5)ufo_yO!UBdI_$!2&we?vHr@A8b2%LlnqJ>|4WKy<o!7{9O{|^
zhsMQ7y?`%pV|sahW?j+_)eVw2IV_2#I{TM`fyTrDs`vM}V%|Zc)_T%GaReUn&YfIG
z2!3|kfDumnr6!9Y5mFnrN0B;GDLJkMXFzh~_9>YV7hA{9azxKdc5GFO+au-{e)Oyb
zOy$L23<)6x2p{Vna~c_#@u_}6w$nJ@(6zhpR97Ge@Y56;xUU5_6KZPbU}bq$984A{
zEDxvf9_)-}=z<^4hvr7o1gqLV7AeaDv<FqN``NnkmHm%b?4?y@WqET!6RY#{+So79
zYj656F)f4mr`h!yV>XcgNVSR(fo*Xoot2A5xU~e|&&|yh9I?FX=lB?H<=8`atF+>>
zM91ocb!C(};p8%$SBX{6n!?A<qvRblF?N04dPetwal_n`%xny@p%~soJ-msV|4sxy
zB-U*Gf*6u|@C~wHoQ8GP(Ik?_DaN)s7eHuE8OauUWF~Q%r=|U3!)}<()?ZLA^tVZX
zv76E<X-<IwK1!gp9(q5j`GX6gthBhk2q~qkX2kkc;A@6=w~<IO;xF;ZsEmJMWT}i=
zIw^1U^}q%gvlR7xAzLLSA3^*}KCm4%6xXS&CDOGhEMr9DCHEJEgNAbMhkf74;0|>&
z-E_&uLW;e|{!n8IYIIY{I+ck%oXSvrIb3c&sBEDWG+IaeJ=O5{q^pq30RCufKq~ZU
zQ>fY?TD)!mZJyv%3TVkkfmkfK`UsKYc7<Zqq7neYeo?~qBIt{S;Vqe5)-~e?Mcl9i
zf9JR5LO&8yoZn82vl##He6SFNujIM0>;H44jBD`5cil#zpCiW6he4oy_NPD*2UC=v
zoy|u;vBnZ)c>l7y)mcB}Tq7UYY3Hb?!khL$c-LfexPp95EK5Cp(bUpyswLyFIY;DZ
z_?=8<<1kb~uP_`xz!jIPSL!HyAxdskwLi@?nSjsT>6*gUE>heA<;!S_wg6jlGq#vm
ziYc<m7wf5?aP#=I!Ps$Ic(QQF*5p@5E;c<jd#&J_+?_n%#MMOyuQ7<bZ&q3rww)za
z<mzicE3V`+PH%_4+&W%JcxTZ`f|PM?Y=glF{Z;;C2IK>$*Jz)7(JNY8nfTi>pR=u`
zn=Hrk0Zg}L7p<6ntM>ZKEM8aMp-dX)+`j~~c03ot$h{5{V?vizgMz&wXgeUQX|EEX
zN<SLUixS!IFpiQye(_Vb-r2WYi0YlAiT{Gk*S{0c?MPoGn#HHti{vC4TOcy|%O*r=
znX>newI5Q5sIfKG3eL-a2nMZXawh*AJWE<~EMQ?<+p=G>LlzcZJ5s%hSCVYbJ-=6Z
z`jF!X&SK#7F2+RgX8v9l8y)hHkD;{vQc^GHP6rjV#yBT|z$db{e_im<GCz0d<bHgE
zviOwgN{XV58y-9KuN_5Dne+K3MBk(qQ5*E7IACthpxcNMstxWec^6)gyg|P5r`Ga7
z{KB7lF@nDR7gy46mRyXk>BKDL;}u4pLuguN-}isyT_kLb2pWnVB;xfA!Pn;&c3*o~
zS>cJ_a5&uqd4%JnJR`sN#fTu}05qGK*mvl%D_zO6)2gW=f|O>1V49XrIEGyE;C%wx
z)O`D3cRL3rrSy9^JEa`Du5*Qr)ILUV0An0rEc?daO-JGogvo=`squ|<;LNCtxE~3}
zx1MVt>Iw#5<BUf3r-8*Q@mK3>qB<-VKioH2wMvehn(vkiSXo-Ao<95li==1R$|CJQ
ztu)rq334sPd**!5=J8_ZXM1ai8qvMg$u}n^u{CeNa%}6gvsU$K07gpRk<djMcxt+#
zM)q(n%&xT~M(N1$rqTz|H^Smx+IO~nx4Nej(PQ7Te|X+eU6vMyE?}LBOOewdWZ>)C
z0Kex&)~nw~**Yk*XKSNM8)Q|&dlC%&d(^^DHzP+Jz}bHLrSApMSv~+zJ<%X;WT#@k
z_Peo?w}pHxlLu3hDx}dfjmX%o*ZrQ}-qFfiD4YI4(Ag8vOh2r4Ov0&)X61T=ciA`D
z@>v;bM$$j)=faCl&~|iydg>qY(w}z(j{GLH*m%c{c%8rT8UkdU$RuZ(9Gc`=qwJ0|
z;UFH9PdbnE@O$BdN19I`WHXA-(3oriv|-6w$PF82?%<lHR8FW=BFnoqG`4uZBq-Ws
z9fk`G!BhfnqHCF_Lo1dx#vTD(6;>THH#i-&_2Kw)jM5O$JPNmw47QwBmg!OxU9paP
zDEO&%q2@u)ph}+C)WHBx`OtvuV3AULfU4YLT)z;~<li5K{$OwPzqNS@U(PXSxjUW%
zTXLRK%4*v=ZmGz0@nkc2B&tst#Ca!$yhdVtyM-Niamw`_qzMU$>03K_hw<A8OVy<B
zUS-!FNK-Y#dTz@DT9AG^y?;IsW5f`quf=HsX=G@;jjQpN+0^$*<my`MRAiD%OySzt
z1`oAD9OKnqGdB9ZVD2*)i0hQQVq*suXY$<E&T^9Qh`zx6zi12aF%k4~-0*_3Mp#2P
zv?^x<$<?De@iiIz6pr8^rX>3#4m>1kl@4kl3}te_K1xPA#jn8bNjH~RxO%hskvieF
z(@Elp$yHC{V%zChfkr%BUt1Zvx^e5#k0QJ#LJ$y6gVQiUe!jtPzBAKSotCAHos?ed
zfM6V@N6x1%Nl>@}er2}j^l?x7>1hor!y!Ad0&R)!8#gO0un$>&(54CFLbX3}c94Bg
zu}pk7)7v?Tw9pUHt{c;3n1U?RZ}%FZ8j$rdqq*zbF7v|W+iB&eUxcTSEowE|fNvS$
ziWr0qVVyWTvhx+$@&*<OO<9JxGF{6GAhRng_w&<_6H1vl(IEQm3~8VR<iiZ(D~nqL
znDjq*_~ep44M3hQ#*UfRlOVQBc>0y9i1Wrpy@K`#%`fEaujbIrmA{^Sbx=9wZI70|
z{gRpf^aBLa|3qJ}4;FfB>R|O%1z!eVaspcpkb<7R!ss6xR5h2lXlugQDwV^v5DcId
zd)T%T^TtY3Hf@cSGo*O;5lf^+@NfCMdT48OoRlJTDBQ$x{8^}u<vU!&)}$R6a{XD?
zwr=M4pTMe5yc~~x0*i!Ww09GNONa~hWoB#9I<QjjvoY%jNOeiu)BU{u0S9CFMCQo8
z`B~0Rj=n`jwFxZKSoNw;1sQS@npC62_j8H3bL{0{Fro!wEqW04??mjttuh1z?+ecX
z#0Ht>+!_(!w63|6sryfU6(>Ls0UhU5Vso{L@xAl#_clywzrfcJK?`n&3jbjg$vcAD
zm{;f9-3TzOog$sB=Tedmv5@u*BpN4$GF2IJ`A+86v0U#X!Vt|ab$`2(3ZZyV*|0bY
ziT-7rx<9J3zvQ8;Q*SFK?;(Ikt7Af4tE4v{70wf?{c&fL+dMnj@UyD(so9wQ2GNjf
z&VFM=aJ32YDh-q3?Czj?A5?@pfp<{*SFgZ=zfzc}7T6)aINw3?zXhP_E=4GX|1C-Y
z+zcs|Dqt$Xwuys^`JQEAL~`pmK>e@Gk+8*7H%|bJdvJ?UZi_9zcK!&t35_;Tcql(v
z7y65HD?ApHDH>ZLem|d;rD*5rgHs*<|8k5-IIXmn7d6Foa&N`vkUZ?rg=@o1U-KW(
ztDa?0doz5%5~K)T!DjA5|GH&SH3&pMCQ5iaV*VQUx4%<)vv$r4v{$UZH27H7Z4QD4
zyhf_1^-L?tmCJ?`0-Fbi(<EENU$ByUe8d9VS#g^eE$MuO(Kk>N;=O$|^Q4@3{O01(
zp!~$4c$3`^tW3j$Lm!Y-{fm7^Ic|}(`SQ|`?T)h;JX4xui|JCrT%>)cwIzzMu7Xn$
z33k?R1u=iiVT^v-G2JTJ_%(V|=h&#LjvJ*m;xq}z+qvJyWH`z%!(XX_NISg|jmQ*^
z9vA~PIbHq`YG(?5Yr=Jj|D$IqV!<7rqMw?p$jq0jaGo|dNk~u5RzX0oKk<@0<Nu~O
zFX=iGJXZrBiXyJoPgE*xYu!i=R4w0LG<A>BB*`>-+Lchiut?C?_SYSsjwu`z_(}mc
z8FCWB<agNl8-p2ruaetI<IkWq_$FNW<Ts>tiX|G`r4G&-I%(?}YojJ#eMb}NtR`{o
zy95z^8e!f>#CRDo<}Ve;HvCRq=BV*Ko>%Aru{WA(^@iv#bbaWc5^Q^Am{8GpMU^%n
z)+WT6kT+Klk$avYoOGME7Q-)~h$;}g<d-rV-Nsh0)MsF9%uFPI7CHI(>9jeg{kOXA
z3s<rdaB6c*cs`ip9Sf1X*Y9VJaU@P8Y}sm!^+Q=RQ3n2~5PhQaIW;0Zqb>HxJ93P*
zeEB#n+A^+k8_m!;0n9(|w}gcI+6&M0@G_j=LcElkb02)NNuQ4(AmeFAY+PJA!hv41
zCF$ZLWg$VpjvCpWgIlZFNz$6kAKQc&Yy-V@3(qymfp5OTO%7&g!|<q%P}=xW%_!-s
z-z%d2eu6J<<E4}LXkXRWpIu5)Ide&Qh6&6F5WKJ%3y!0ts10L9p_VSTmK2MI+9N*y
z3)a3AjV<D@4ChB4@i;5}A4UVd=R`hjke`uonn?<<`&AfpNYkgmb89QffX9<>T*u)6
zR3GOd-3njL+KG7Y__)ISxk08_*l6rkzMn?>ZG+PT5*S{{Z1edE)S#YLT+>l^(Tqu6
z2c6<`%R4?eGcytwzAl;cn7u;jE;2F{CXbYK4LCJYs}P2&>ft-mZ;Hrahw1I1+ONl9
zCo1gu26g&s4k8$HC^XZWWgiVIH|J(#6DU1B7T{uu=@6T?B-kwBnT-U~3j{r&cM{H8
zEmQ>bW+5{t!LK3w9MSMQ4(@-Rbf*LBOMc}otfj4uzGZ;8fT&hhiHEU$i)O!KE>St7
ztlAR)*58h#Z`)ArTkGxLxin`k>)SIBrZr}!fc4ZHkkM}LIvbs?`8p)<aH&%j^86=W
zB4+RGSGC{miz*APjos@WnYd)m81~HgO=lTduI${H#6FyRu`ScpDMp*BDcop_)NQIM
z6f|>IzbVz7t1Jl_&G?wHPp0N_#nsRoZuWx){S}+yNEQghZ$5fBU9MBB#tVkgTrJ<M
z=9>-QGSs<q?@%3$yso@gVLx^2|Ax-$XfAMbV*lGCYxP1x1^gVI)DhvKk+mWwDE*@`
zN7SrRar?K(w;C}!@r(YhvtA7AZBwI-Jz@0>JmP5Qq(LqvNOL5SOD}nd)rPR~hZg1@
zCPZ4g3AM4dju1&ctUGS7C^yq`#2t;jYtDTvC-~305Lo$yj-p~>P}&@Jr%FXq*V)!Z
z7NF8~+EX7J^U0|!_m8<W7MpR`qjolT!ShXZ%lotLUFdXujM3j17K&~a`q1MwQW29!
zZ6|3p;PTGc54{Pw#yf?y9d*kWZtVn17*`GvUYV)qF!$r3(d?))7W{Q<h8gx4Sr&Hp
zN_p5OhGcn)oU$IplkBGCceD<}%D>+kGjA9F{R#AY|AN1)CVi9_rDwt~=Yzwp@l?Df
zG&=DUPu-~JLE-Fi-7L2C)&AAwew$}o^<8OMl#XeFMj<<R@SJy6&tv3doDEw18Fek1
z#T;U0N6t0K<KHw%H9Fy-vep*SIY92~X}3VaYxdxNcez)loOW%Qr2@*RpJDu1be+NH
zAf5CbpRu4fnk?z=E9nt7?Pw=o)7FZg^nOk>vkl%AI0uz@HwjhM<2k&UAQneKxUvOJ
zjO7gaU1MBm%=onr;}6ZU&l@DIjF`PD>w9Lf+e7WQ8q`{l3FKbzNT`cooxjLWUFNY^
z`V-?sBaSz%`g!hQM2kHN?55B*Nq+C^)n9-E-BwPGuVk``me=~3*zo@UoKL^tCPznD
z=DYH4-hLsRjPizfW%{*vbu~3C#uk3cy_A-@C2RE~A?r3j@&0hQYFZu`4qzOLZ4o|>
zw}NHrgHBHd9EDb_Zyk4Sa8@o#AK#krO$d<=OsJl+$r0hJWsVdvC63hy@31l=d<Ptn
z0)_N_;)l5+6GD7s46QmWD==W9(SK8%QEx&|7sF5oe!38<e8jZ@UL&h?IE-(J2f#F#
z3XAM|{N=0QDXWF|tZ8_oE_yJXp52R_l1%odnjzSLEJ)twyjH2u?tDs#a>XJq^0PL8
zLtixjNaGNhJrrWFgX1s5oyeV-fHn>74H1dkH5Q6hX^B8Shh3SKi^QPvhh?|b3fS5^
zDqHdGNAAZ}AG_)OycG|@t5H$AA~U0z=EHjx9!OemlKX>YK@)?FGCUBW&TzB2@nO3L
z69X*sHzB7}9AuK7(!@oJOE(td;xQLA&`d2Gn~3^Qn+Lpe^39tGeEQ1^w@xbRhn8z%
zIsQtaIn1L)N=Jbp*>Cbre92DWzIe?mvjc^^IyJJ9GeK?_rm9*LYI&zg!h$_+Ac?ov
zWd6VG{XK#~Hdkfq1uLonA8XP@FUCzSf}V?wMH7o!uA^|^FUn1peoh5-Gld@SZ}@Z4
zq`KkR_D`A0E;YQw&cCGB7Ox)~u(oGnH>caYZ58Q`;%TBKOJ}Mp#A%46kR=EA06F`Y
zn>mh}(xyLv_;dS<&$mxuO7Wm0Fu|P1b%F9@l;8vEwhzvjY=drm1X&Wwh)j&sgNu69
z)BTMrBV>7>4=noJ+dlrWu4=PlyNL936bWY;^ip#D124wC3#!5&p+p*2A0=2DD)B!D
z28s*Qv$}Ti`+wbr`s$Y)%e)$v9EWiATU;M8WYy6_@<V>dJD%m`NIX=J3X(AyQ$I|&
z;zjJWa`%Sht&r5+hsDxic^u8mC3;>ZXsH=jvt%@3($MPDpWn#*QRfo!FY4Y<VI4`K
z1k&kshF{1$n`s_1cU<wGe%#D%=d*TtNosyOt>`Y~+@byzPJ#J{DmeY++GCmK(wxQa
z#~4SFkyu_Wjt7b$eBpO87OmQtz$@j8u$KSR&H(T4+dN^?am^naL$AHFwXOQ@hnQm;
zXf_n|-7&W0wYuS|gW2*~Kf&c0{x3}|29oRU;Z<M0FO4LfV2{DATQNh5eh>{PP!Eo|
z@8k=Cu6m!ac0FJ#4I`|}ujkDQVB%BtZaXRtf2O}t(4JzdVFz9YK9tG`yNI1F_J0d;
zN&~?1rzzI_!V+4mucYbTuGkG8G2|d<NtU`u<Slt?_~M~PP=S28i}sr8@%F8|DRseU
zf|~YFA@h?li1>v+6@-WLxt?bd4v3|D2mN}qV%?BERovxxrGH#K=Y$%)FHl4`L7mnB
z+PP7NA?@h5e$Duld46zkz}s?Iqp%%5#NkEh?TcbuLM1Z@iJ_l$2&m7eQIHl$<1roV
z0U&sPhXb)hxB|!eCxb+Z(d+FT??rFs`>HabW0dhmUW|&#9r6akxWxj%7T)KQ8?CD{
z=4Rd}PDXF%J1m?qWEYY6mx9cE<I)#uaU<i4Az!m$_q&cdJ%26SY-@XQ;(R9u)BE%j
zyDc-{CaT=KCW5%k_&7bwC>Och_{y+`xqR03t&*iUdH-HA6`7Y4B@{}$Xj{keieF3X
z0M)*>Ut6nO6m72-)1bURdx-QlU($`^58R6WYHR&L5e-(L3LXEIle$!6fuSXs3ePOi
zRex^aFY-WiPA6B_yfyx-mfEH|4Dd+!>0+4Bx#<*hp#VVQSU)G>BsQ<sf%7c*TE#b6
z<@DzC-<_{r<eSs*WtJg_?hQ`w<5W@(*1H5L=~+U=Zd3r5Y5fiP<F@xD_l*u4LPnWB
zMsG1C?Xk3e31_w3?0s#_2)c0q1SXip%RR#+ZE)QINQbMoS&C_PZKJGNl<kjQUe$qF
zFQ^dmqxl7gAEd0R-pcG>N8YyB-EN*akU9AI5dY+#9<;ERbsjPV4~5~<Wde9nC*CyJ
z!_G+5_ws7hw~wotXCU~Hi#i^L>CseL>O5gTm8o`!m(PRVZOjH*{~*6hfvKP?Klus*
zGvUSTpiYoy#J7i6aeRG(N)7%?SSe_h6&dm(eS#XRL2TG1$Xd~|mw|jfiE615Y0))V
zp<iFh1JNg}s1JA|YsGq{fdCA!G>>W~{2XUD_=_o@7UgyD&%xE~zmkPAEL(Q)&`}uT
zIgy;2!M@~7<c5<Il>M4KU+va6sQK4e*#e+-)xMH2p*O_l0=7<3ax%Y_=DPAM*p;5$
z_}GtzBXOfrYP@_C7!j)eQkS%26=jWxHtx_llCkNArQmq9v0`TC=OlDpDYR^gi_J#U
z+RB%nl4L~VJ$4x-t*R(u2qsxQk;D!Oq#E}s6eL}K{4!csSE&-`5oNs+tANull7DVE
z9cWlMK?S{Ub-0KR(AM@}@Sk+#pqtcI8~3fa_H1dH)Gu0<*{5$355jBOb67r7Rd_kS
z?Xhroe%ScTp4XHL7AeI8mVnli&GT`HYX62<=X9-;OKwt2Kn7oAQ|QmBf?Po>{eTyw
zA?ARFRhnhlVawl#1{U~p2#59dF;Ik{YYZj*1<lO5Z+M7e070OJ*Tw6pcxw4c&?MpR
zFD#+GaIB7xlcn^4LSO08C;oCoM9&-yl92>B=ZLp#fvwP&mM14YYCXDPB5mk<*f|ac
zapaV+RHA>#Mq^+ag`V;XM+<U~SNV$>09pUQh-9R0SnZ}IapAXfNLiQ!mZgGL!nxQ9
ze;%L_-7FoqZlOMUzrh-#c5YS1M%oU>)WME(F0vNe6W2z&YUs7eF+%aBK_>b@8iF`s
zJS`|>9-(Mqfzw^>!6h*@U{Q(ZspWzbut>vY(jOD>8J0aGt7Upnr8<Tr>o{$sBr&r;
ziQGIwc`r7SxtBiAQ*)ISty_BD!Z{)CbZZo9n(2GD2Od(zy8LTzI1RV3-o*_h49>^d
zidk2));ym@9APqNO6NbKYTuLk@uXTC|Jrp{Lj$xH?$Y#q^WxiVqdY+9kmVO8Gb%N?
zdpebjQMayNxKno0ZfK`>eELsl5(GTD?#j`G$<(466e0Ez-sh&DEW9O_ykEv$HfT*C
zZdl}>VdSe)Iusa#M*UAe>i5aif3sg_UL`UYq7+7JAq~QI{;}st>$Desjh|R)0b=bb
zR{{i7%0_&($~I`m(HDT5p-e0oHdP{U1t|2Z@ebQvNrR1Qf9+@zY{xrRwcBX4Bv~x4
zB(71k5}|@YV-2OtPcHyv;{W>sD3}-1-Agk_ueYjn#}a|`A77ck<%{O4El(ED)8NeV
zN4fT8^r=rDsLJsR>2J)8|Jbq(<h4cT{LLm48y1VkVL|HuMyptASxF?MsIeJ8Qch9(
zldRL$v33F{0{@$Tvw!VC!li!Wmy$&jx6Gbjoi#SSubYZ<?APu%Q_Z=DRsr}FZ^Me?
zke3q?#}clr;S3Kvns<TIzgf)lmM7xFx)cf(0XIR_0~Cc`cQyT<v#aelKNR2<BJ+W|
z2w6AZWT!sKU*w{UR|hD^fHYq{IB&DZd~y$qG^-yvYv{M5_IB5>+=z<D@|JTE%1@V#
zddR2MViLvg6jU7Q2`^h{Lt(yRA<W7dHm08Wrzu5O8K}OfZSG?sCrHKv-{~+`eJ!?W
ziOR?wD)TuwA}Au*8#Ctv-PC!&ZD!0Dk-hNxz4uz`(Ulf04TO1lfOy;7hi~r<h7kGw
zBoD9jIqO*&_lw57e_$UJIol#{Cw3Mvv5}(}hQ4|f-o!#R2r7FMVys#P3!MHIKcVN{
z1}L{D>g@Z@@uba;o}NsuO1B57m--sf|DP5>Zslezdu0cRSUMx+WGGM$ujL?wydn5>
zh^Snb-qARtJ@f%z4Q*I85(@|m6tcw_YJ90(RbK_qR-%5)kz{izS>#XhEeD}(cuWjD
z7qK7EmfSZY{iNV^Kw_!HFHJM-Mu|&Zd|qv?DnDuspNqQL_LF-JSEm5ri2E<Zq7~Ze
zjr>1_wF_y=d>*gn=JZ?_3R13?_MN0w-yM6{EW^SVVC5=HTcF#2f$<ZrQ25u32s40v
zo?@s}%`qmRj!fJK2U>6>48oS)tU<f%T<eN?-v+&vjI>kxjJk)(9IX2?_~E4^dl2&b
zgbp)|{b~vmUerD(=7US5K~c;azSjd$y-AFc?*}RgOcOdSq8>T)rCu%o73IBW=_~!%
z<slIkWO$Mh!obq=azcbwD(iwKlWW%(rER=GFlF|obIp&SQte};enI0yy_KB3<3xL&
zYt$2p({3^uD?rH0?)M@Cp@i^B-p&))#O$@xkCmnZHW_DQ3lJVFZWn`h7iNz@y#k4$
zpegX&?)F-&iP5L=3soO<0?)dS%80`-*XEE*d-h1H5;NJ%MHv*6#}|W*NBJ9?(*=_i
zKFX8I;8}-#iNa;bYjV6U9efqANNs-+DVRB)4jthCbneMKuKQ=-X#v?ed-e_0t6W(4
z2j8(wao(iQo(t)A;KyqmVj-7`NJ<VB)&ZiLlkprG^TWojD5c&vTv4AIVT5_G+FmpK
zjgiB9JDM$QGJ!*l-%age-5RB+-O3#>?$ygX8`-fu=N|k(@7@l+h?EVQE%$M%`yRC*
z3}FwM7u?Dbn_YF}4v?5I>}iYPdTbL+xp(9zd8{(NXu@cYD4RBN1r?vU&|LPhbN<5d
z;Hg<b^*p}t1RY}ge?`_It3fc)Ks~6VHzDfJiTOc;E!lsegGwcr_}8KQBFCa+fv}}j
zjbub#OHS*zIh$5sB~wFXY4G`+6kSuCnOCp+k^@7I9yBBdKOi4(H#i*7V<>4$dOz_G
zDu;TK<Z#gNWvg!{vP9G_fE+akSAU5!@9d-|f%=i!@0)$Zm_I?8lEe0a7Ie*S>yrZ@
zF;!IrIKuEKET4Qbo66*cid2{cZs_TYkzslvIWn8rp=OCzQ&2dxg1MsEsar$!U#vNm
zz87SQs9788wv(O>R*#?J|E$!O@=jM|3%6mUI5KkF!SYSlB7b`5PJ(fCSH8AiA2gq@
zNRJJF;<eL`g{V0X4;rs}#&ZKw^)&)eh}>6)Quy{8mi>0TjGj_4not(>XxqAeC@nba
zt$=-DgB7Jg`CNdGtBUaDxC|`px;0t32$CmT8HU)A9KU<>C+skw?Rv571ij0k@v7On
zQr~?3SLmVsWOUxY#H5F_hB+$eubI4PaaX}bF}Nc;o^L<GbakF*oocA3Rb-W;E_j<I
z`RdIWSDUZ<TVlwl8Iy7zyu%N_^@AK7*{;h)K^a`6=lntVte+c6$@~HzQ9Bzn@;V9o
zG=s`_uIDw%@5%Y^QA~=<*2oVTB?X-N3Kq|#Hd1jMi#9h_q)nhNSsOOoAs9SZ(t(&w
z52$iln|)=|)dj5YmGrj$Hwlr1BKk_k^-=SQiE_g>P38YIjb!4q6U*f2!mX_uJ?M`R
zdNN4gx)B>l<W2;xjs<6NR<R?k4aF^afecF56od|BEKq-my|#=R%gYJ`iYq(Q=Ype{
z0AYHdK}s_aqx|Rlx)0Ix_U%>pR0(6Q;J{OfuKQ6%)DvEBf$f`!uHQe8aaQbZm+Ua*
zRDcA@e1o@xm%4Rz5V*fLXr~wDLiGq<LSjB4tBT1jgqx{oyk$%IbXj3eXDPGk3Z}h#
z7v&#@&w(}VmNV>+@j@om-*U#S!E#PMLunok(QSLRU&JO(B%elj?5q>drB#T=`2_-q
z=;&+%qFWF|S;fDSw~~^TiijOqS+>iD-9Yk;a@bJS^zKy)?6K|l^u`H*H(NLN`%s>a
z`Z^U3mMo6(<pgu_hfH4|9Mxw)zx~5cy?fNJ5f)UEd{CB9cuaWCZ*NX6K)q+dXa_~H
z#V3w2@9p(;POaqlBb_9~R%(Onftjz}gPhjSQv}ry)i~K}=Tk9`yX*2yZdux&aunZW
zivhXZd?<B6v+r%^pNTC?D~+T@vWkr#`UU&%67WIRqyw0t<4k$8<gj{CbhT0kek4;0
z?SdG{%_D@~WFP^zN&yvkr`GqFNEtzB%rjS|j_aoSBj7IQ$Udh?MvkO)5*5iu)fWzF
z0;0A2nt(k}R9pDBzTOevecQRBYU|OI^50K0p#WkuvFlUgCoMx?!QX{`+UffDLwj5X
z?X^fXqML>)e`|$)d${VsT=E|x1s1tnb~4<2&$iR(8pyZ|B~{Aru6Tm%1p5=d!)bjE
z^lt2VrTg%Z*>Vzmwsc_k2*vi}s{4*b;|JULo*xAkzn<T?1P;*ey|T|QCpAJM92LUK
z%LTIYYRt)c3dGy(^;POS%qc8w`moM~^J75Q^$e7!!?s%LlSbL}4fWK<n$*f7ohWGR
zbzCJ=x<0qsdo2PW!2E|qzzJB#`*%_Tmi)|Y%RSg8hj@Fl5E_F|lSNR1VfxI`cfd&w
zQ&bLUC3t5xn3s>({>D;E3aT@yrjd+FkRtgY>y&(j%>dm)!+N-ICNgA4s7VWD3V`S>
zGV%p1oH@UK0s>IHK0T}*J8s?i?6pE-GF1xAF*_F-F6tNFrkPHh)9b}2zis58wtGx6
zfRt6%SnW3-RAq>IUhXa%5;n3#{Jv$@RO*0Kmif2wW&+rgCKM`f`;DDU4_9fh@8j2z
z)Fs&YfnPjY=%<w4EKa|b2M=cN(yPJ`d9p_qWQ7$^{rhP)_?5suNej8*v3HX(l9i8$
zW_0^bF@ANR?_XYhhog$nf4LSof+TD@+;{dG71YC&1cE=`l-Y1QS1Bck0?;*E7)ZdF
zeGh%+&Hq~M=QJIm^ACToi2KPPuho~rsXM@oqd~i-h2gtc8i1}`HW0p7$NO*OP{I8)
zNf-zQIjM8f94fLd8Va};paA8g=*7`wRi|m^^s)v6(;;sDfm6287WasOD!eay6b!$d
z9(vQ_NAoA2C!r$B{{UD9bPvEMK3uN%L~3f)75GI+J9)A<xbO0~Ei!>~cfn$Vpo{Wa
zwVe!?*#Q^*W<AU<Hjcg(+ddUb-@BRN6;9>b->_np_J^(eEag@E*#{(r+F%7&%Uj>P
z1g+bDMQxhicSP1z0?u_*FbgqE@M1<2t$;!YH#z3@!Qn4}bhhL)wv3(WwgM6FjiMmy
z9m|6ai9;QSvY<0sCD6xvkf_W4w2KzddUP<#+k9%V2BgxQzW8*9x{1+W#6PuvOD2M;
zbI#t2Ndpc8d2P*OA$-K$(d)OV=-#plf7sl!)BT?JksbeE5gSCfeB@J9F0TzvOr^yO
zRWxM<t)Fl;;ZHb_r(a78Soj*8$V7!KVJr~PYC#ZhMQ=}H7+Jujr8!Rzn;0Qo`3_ZD
z=EzU-k_`=qW&SLMP%Ej0xU)STKcJKr2ln2nI}pv+tIouLH~r>@L(DjGV-kRPuZ<q$
z%6^1Q{|C4+LM&8DtM6^U$8vY;#qfnM$++udW;36)Mvp3H@LEJNG>_J&)f$nz?63NM
zJGknW<@3?F&)4||iAZleuibhMykpHJ=yP{T&*^)au!gd9IX_R9>35$y*XP%~T<-BB
zG4!p|3kkd#F6))fErTpRn-;&dC3r!Q#PvGk=X<Itf?4$U2@3wbPBA;zf9+sY(U9AX
zjZsmU*c*pD2KWumVr$-wEM$MLn-kDo%SpQ~L&LJj69q4Tg`wj+vhQLD>ktJ(>>qM!
z=kdsQp6&dci4=$_=8jOj9DWehmz7!BPoyJl3$o-HwkdEh$+gmOkG9)MM^}C?+2&j^
zeNO!kl*cU3swF@}I$X-%Z!GE?Mo<KYEc_s^CPEgCpoHRV(fOC2(qZ7=-@ozq>&k-j
z`1NM1B>4gD)PwMZyLIkV@LM{nIz_-dAPY(WPWyLr@tFC^(EbZ8(#OMXXD9iue15$<
zxzE#S0$I2+5B7!|39qh@oej3D&ANz>N(>j<SJBbmnF0hAO}!<=Fa#hyc`)y7BZ$we
zF6e4prmJw-YqgE6yu~)_g`s=Tz+meVS$tuY^ZYWW_t_;%e0>24RhjJ^oD10JTS$&K
z)NVLGla$}6rR&&p4ZU!rjO(p!0^FV52OkliWnuHIsg1m9W6CA#D$tvC!6Vpi2H!42
zA=AX|k5|*5AXRM=xkEIe<UB9u43p#nH=mV@tmr$&svJx1j%Z}4J(J;3xf^@>1G7?u
z33)g}9)7<4i`f65-~T7(x?H=X8br=RMEi8AWFkV`pz;Z{(vr=z2zhTl?}g(9XmbBw
zgIgK_DmW9%<fMo;r11fQn;f?57qXOWz|-^mXv1kc%xM^<Zpk$&Yf#6z(m1)Z&?k70
z2lvTl7-SKu$wo{Sx0b&8Aba^<$BZ5x>ezi<-?(Fn*#06Eh#ArWk@U)cJ`FdO;Ce+A
z4uM@m)%Gws)N4_+d{-14C*8I+vUXVN5P<tZ@2)E0Tt)oo_cRKXkNae%7t|M%SeNkf
z^viG&Z<46f?nOK}ix({FcNFu3JDJ!2^z6`ZZ!C<X$f{~6zdcJ7e7|=C67{%DGN_!F
z<|ovnh9?DG>olmqa%8BME-Pu=eA)(C%1pM@(Kg03iyt>&z{p<bao#xE2ichAdX-Yg
z-uam_v_;2-@^<RiZW2yAO$p%y9F5t#UKMHOU;yZlytZxfuB#g+eI4AI=~P)D15MxT
z`VFfikXp0B%U)@O@2uv~5&}R#oeNuOYR$9;U&8;-hHrpIva2aJ1|+@mUb)UXxA5Wb
z!Ha%eoQhF(eEmw<aLF0`TSRs-Oh@rIy*gVbw%71G8Q7r@=wFIv)?)DktX`|;f4BBq
zHax-Pu#jBW@3yYw#?LS#&AHfSWXPAR!%&ESBC@8Ub;uP>F&Cwu??2wGg1r-S*Tmb|
zA7AwRtjJ(v&RZ=0P0jEFE*tb^WpowyaZVAU`?dP5)$M7L?88x<f@XKA3Cur$kjilL
zsH0#=2OD&;)*Aeyxv?<0ULf~v?>6?mGsUOq7pp7=a(R(4pBmjAlAKQb_UOE?UD5oM
z?{87F?N*mz{*PMFe}UK>LWf*Xfx61{jc9(R-wy{ckH`8XJ;wpVIgF#{vF#^RHffm^
zpfUkaX!1x+>$taAI;%*+WVxXhJ!@hV3qWy;y;h`i;b1^hqxpU)RNGaLH1Hf>yTKgg
zpcoEek`PI9i1)km+sqCE{r?3>JUM^AlXm#EAwF#SU(gwC(@~`HuruoZi<x=JI(cA$
z%+M5NhMG!Aw8kHD%$R?I*IIAD$ZKsd@K#ln6*WQ+BTlU_=?I53QDsmUSF+yi6mFHM
z@#qezDVIdNdkcPV!gGxAM(yBYd#dGEoqATQZcF5oil90BJk0|KRTgVvM#{1;DnJ~M
zNxD!H^Yj!_?l0X`Kx00w!cetGKK$D<y-KU&kQT3bm1Mk-aq;0|TyN&c73=6(x=r-=
zU|w4n?m1|cU-I9LsMvU_*9YHN^Mcs%Bte{?fCltv6M&lbTy}#!e$@J8Nl!L+X2)Sv
z-D{w!gOupEO=3>&2N0i*6B3fJo>rJT1<_)ub1aw=c>%c-4UxnFUK(vlkZI!;fQMX(
z-CU>n$JlMb=7wux3%@Y>CRK|XA6>5Obz%q6{4)Gn*O#U!+?dK;VsN6Gg4XXhvTOf$
zTx1~L3eLF$4hcile2a0c*zgje?zlCepfS45=jXbJdWt0E>*#6M-)Lp6hp^aX9`F!1
zC=qjmr)r?_0r3kBPVEG_uP6!w{zEy{K^UB%mz~N&1%Jh9?4v}HlAOv^M4>hLR`=9%
zT>UNi58xU?SS8RFz^aeNwfuwqo;hR5Ndug@%{9>*Q-19aSF`$pSHn{((Ji~V=vo1|
zGe<aiMn{l`h7F0V>a~w~j2qF`tEkh$r;Ft;9*0h4c}{H_ycn*`oM9B=zH?_&U;|cI
zD$`ppwCpj)liHgVYd}e)h3KSK(6{OiDvjJrMh?iRAvgsk_rm_5Q1M(=G_33|uhg?X
z^GMW*13Zey6mZ&Y8t6Bb!z2n&QR!U`^2B^=*6_k22t~10K|hx;bsX>t>1<i>E~YRY
zgK_`4Z|85;1=DMlk^{R~SW?8DNq<7h|2@Z3+6r7~45#$_qe<3L!KbDqO_O-k7c?>O
zI3#gD6WgA~$V}`35GFu9BQpk;SihUfapd(ID$pMgGiH?<L~7uK_(dS~1!!Jl-owk<
z*$880NzK94yvs&x$F24(76O%fr(GK<=imDDUyXAh#51ZKyPf_)fknom&w&&%k2VPj
zreE<VO?>_w%>9z?-@I%s<NAbO$uv#q1NYT+%L&G!<xa+2=-Tv7VI!6;rI*_he~O|I
zc)0nF0l5N>&o?!p&lV-ha`?Tup-iYiP1`7wNPLNc_}TS*mxwkyy<H%jJLe~(;DpiE
z6X?AF=|l9N*sYQug3w|2)4(oQ(Uui`#P&`|0@(hKcf^6rN`{2bU7Q5U(bK4&8XnOs
zCn{RnHS{aC2Wkxtt(F8Z#kz6qmyeOwe9LMu!dhekrQT%JMv;yR9QJpfc5ta;q@i-=
z%Oh1*3Bi_;o#qM@O5@O<a7djbr1<~zP_s!<$L$ZWP%#@AG-Lwt#*txaBNN33xHzPo
zPepH-WF3C?@rF|YNV?MBzQ?Hv@MrqDO3+^t1CqMM&{IaV3V*6dI?NfSC}i)r6Ecrl
zV}sGQbWovQ@sakAuZc#Po{Oj$6nJkI=dCU*@k<D&#8@>qs~k)+Uf9$OV@)+$l3h63
zz=7TN(e21(Zlvv~URUsVrQ+U$D>>YB&&yZ#YQ`b!+L%?*XCg#)!|l`jC*n_SUl;rA
z-A}<BBgvMBBWNfHO_B~^F{Axs59ioiSAV$PP87xmND$#?kD~-e!9@!?fIR5o5DhYB
z8)!|bCPAo2oV%}tc`Szft*}W}h+7`)zY_GkykCwMzrHo+ru=cP`?|%D;&}o7AX*UI
z&}{Odg07&V{k%95jj?4I2zpn$45*PeO}RkDjW*78K-!NLgF-!_D~u(&$w0?XWi|Ng
zw|&G$%+HXBJoGVXW;(=tR$8v}%lBHFXo?e0PZYSa2hoOQ?i<g?Dr3B;@9v3l!Z*$6
zR*hl|q`I5sViJJdLGmsBEkYd`;sRCY&TGdrynpNDZc=wrw=-ed+c~k(KpP-j(t)9L
zq+3K-J37M|yD7g-Dg<ra$)nP&`^9~PgtwX<rV#B9niPWn0QJ_0hCx%1C*JAbvBwk0
zX?z}sRQnxcx=4^jpyT-++xW-cK&O?SeAwNk4(HYWP*tnPFn3=$+>4S%#=%L0NB<se
zRkx2$l}w>`P8z}jeZO%jSEwVJdwcotqd~)&YdE#s(Qg!or!P--%Et_wCUH6%ljq!q
z+QA+dBMsQ%hJMgCIHIXr<DJE7qgsBFyr~UJm`vyj%#R45z@)SjJn!{vY1C7J8^X<3
z{hTy>i7f;?xU^a+h!1ZNv_$`zvu}N3>=;7>VXbu!WzqE9ZX&F{_d)0!6C5Cv^~Yve
z4Y21&BRv^(Ne7BZUyK6Q^NoV}|2w@E5O39QjZwAAw*%!L+b~eMMI@4L5gqYNKw-BC
zK<*3}zvKN|J(r;om97jJ4()e|fYUlALlTB_<TAl~18nw0Ne4i-#%WZ@{S>4vJUZN=
zD~j&4NHJv>-w2?xk;#0e=;CF`o~kB`U^uN0EkG3)^4VoZgS98euQRte!rml7gZQiW
zXh#_IpO~29dUVF;i_lrx0W;$+>7E+^?Iv;6dtj&6s<GOx+sRcbH1w}VNKRV-OObH?
zRc$5t=pVcFd1Eq=oXJKSpX-(In<_fLzbrNiQg9n|Qx&>9e?yjB=I)5}ohS6>a+pZP
zf53txK(lEX78nd3hUC0~eOSaq+inzOFmpho7@`6=8<<H5{<q|ch_~7Py_#Aw7IM?*
zjzXJAsAB^f5&=lX>lZNwGV7oDE6#OS+etaz{BEF5pI$HhPDj(@tOq&K>_6&Z%OAWb
zTqD1axC@JqbEIIT)}IiN0R|l;%pp(Z;qyh`VLo>wW6^Jq|HcpWLK=l)#Z{0~*nuAG
zC)NEsP%`1k6^sSd-qng_li>fM>@A?8?7OaUI;2IUTS1YO&Y=W@P*EBIN9pdIp+RYp
zZV(Vbx;uyN?q=w&A!fb{@B4ZG-}isxx!<)|vu0h)S}?!d=bU}^#!J1aM~{3Gf|fd=
zN4$yaN;tgJ%h<98AQ-%R%_d=`TW4EGFso(<H-lG(D_Bv8>MB=LmY1UrtioTz{?M94
zF&I4#nhh~=iDxCHZZI7`y^DGCvfz1MYY187Topx?Mb#Ta?w1Xh`=e?q%0z(J;X=6E
z^@b9ayr9qoOr&Kv^h`LSuvoHXeA9FUr*>TTSO4r|Qov`d0lfv2Hu#iJibOK(4o7$$
zo<Y8c1B}`@pVwhy(7DE8n}#Y8E{?QNRM>CKqDCpwJB~iNr3Srq71aKtQ<Db9a@kJ6
zPmdhaXBL>(BeBC+rN&z@`2LCk9qB|vAbQu1(~rb^bw^dO;B6Cb@Qe(D_q|<bwxcjH
zslhs|qehdoYge+x2UCfpH2tAHPqJ7l<$+!o*Qa&DFEs=P6w?1*=z#1J`J#1D7iq!A
z8{8oE7dU<xbRhRD3_rqizaUnozvzg>x6Mj)egXEzG7Y|+<>6?6xS%WqQxx-v3s~y%
zXjoqj1OgX2U^W=3h+_piZ$~<)_{dcKlvwLG6BjD~ZMyjKupLv&KLbvIp}A)9J2PB#
zJsWXM+4d(tXWO$~_#9g)f~eAr7)iX*NQ-oBC4ttSSerMYZTUZc{Ophh{7YKc{-J0E
z=AEf&ShXjsY;KPhc154rCmm*aiys)3n@X2ESzQ(amai1hR*c3!xbL1G$Lf0^Vot|*
z!97HmlMXB`JM$J(p5DiBGJ`rpecT(yHb(}^a7B80R4U}sG?q17;^^`3cX0$-9l+S|
z-Cg`8O3v&o7v_6SSHj|F-Fn<tbIz3YltuQ9-7~fWNuco-*MmQm#Mf-hR%yg!*8`x%
zy$4vfeqoB$0xDxaNSN+z+-IK4i_l}5ko{UpBlxs{k6q7DT(>3zhSQMnCw&L}oo6h(
zxCp!U1bt~0KP9iua%C?ZCLXynKy4X8B0s>6CiAC>K%2RV@-vVBfh(oP+BG`MgarD0
zD&pIPRKy$;E7R?*Np>4y#*4c27U^IT_Wxvk@RXAA@r+xasIa}Y)0@W7w-efzY}6dL
z7s-A6rpfH%T<FbqQ0xZ}KJ}Xwfx8jfsdMWbSxu{im)y{s%GGakYT=;6i#TsZB3<kN
z)uc(z206J9zVCci+1~e(%`@lXSENx1E~c8=$3OUg-dR2@bfKEZ#?kJ5RX~Tu3%PGy
zfiP06yBH3JZdGFLNZSRPmAze0+Lpg1&9@Z={~oZi=ii;Y5PrzK0*I}B%6n2!<?{rP
zk-bF`ig<$}R(Dq$NonwG%lV`n_VBf6?a)@m@IcO;mD{VoV$niF6l5VJhK&>7n(r6-
zIx}N3)5_t<NC6}S+ZMQG=U#+3a{?L$u#l^j{cJGoo^<L(V3YoV=>Sll#CvP@H}mPX
zcYvRim+A;gTCgrf%rfyEEp+XJFQM0ouLQ9cVdQNP102tc=txNrP7A!zL*_D-lzIT&
z$KK=30Wolk>&u!<_8SM>PJk$u*czSl4(St4M6N@lwHP=&-qtz=ohMW%uDfmEkQS4e
z%J2evTTET_R*dPV5ytJ23gW4~K3bcCX`ZS^#GhgX_Pg{xefH=ywOF>N@VeaXRA~;?
zgc)wpfLOmVJZNKdd1zl|o0*<ytwwVktIPboL!zVn`L3vy@=w7s-@R;vF7Lt@0bPTE
z{11VztB>wBiF`EH^F6#+@<PW<so!t7()GVng_=h9IvFRYg9#w*_fa`XcHN<cjmS$V
zKym9)?RoVk3#dqZk4GbtyEurGZ57&wr&z-dm0Nh2N0MDYp*~XH-@y;L?mf{+2N-xE
zPY9*3MG0F}aeiavDs&X1K%J)%#!L@yEWaFS+t(FT4`VTYk|L_6D#4NGhGOhYoHNr6
z2w+HI9+~4o(|RaWfCI_K$u|3YK~Plo(Z3k^M|aZ>XU9kzc8VEST{>$bw4JYOcb|1~
zky7)HUYfkV0#1=-CTZW5aOS!JU3>)js&wZtK;*qnytMD!jnH8xXTF^eOVUL`Hw&xl
zi^KT&diRlpmfpg^k>f}f(#}l}@xwjvh3A70ZQ_Qr7o*eLCq@tc)P7844FI388H>6@
z7>{y_gs9UExJ>Qcm9(pC=-Rm!g`GE7a`0ATs%6a!vq?D;{i#xT0=uYOPJaGZM>O!S
znqBS&cUunM1r^i&-&(Dr=1py?<->f05Ds(DjS+>gEWgob(Wq~R*~M5<Dny_aubQ_N
z{({lw@o1NBzTj|4qm$DK)ClKYDthRd%IwZ_qNf7JyIw_xJ4P2iRwN(A!o@dNJ|!y{
zxOWGlZ+;hE@UXWGVMV61{%Pj}zOn7y#evvpW?UI!?{}?!MAkh?AvKJ4{C-b*-`9Xa
zi_J1-q<*OZ2aQ5YT=AJpQ^BMK@}0ugQ9CthN82(^0Tv`vcRzk$YiW2#4ArCxql4-$
z9dhAmP_DL4JwRr!#C<P7^Lr|O=Iih*UR<XAwibB1Swpbgm<ku9&wx;4^G+^>FeA|o
zS_@?jgO5_cpWO^}AO%WGmgv#9z@azHv@*Zu4y9TtIjwzX2@p6ez`qVKGm|F5`jq2%
znM=>6&EczX<F4I%HB;J!$u2pJ+?MLX%f}D~dG_%`u}c@KzSEeYB>&7?wEG<`#HR)@
zVM$+@hs;>&CE<KYI_qxZpf4?-ciLv8oLi+ny^{5aTez~RRs30ex5T(_{MqatW#e-q
z_tkX%SRJG4S1&C;DP&gf^3<5~X&gS_*H-%+f=-Wd!RQ@?87`Q{Pq4upp_oLJnYlz)
znVz03_`@AAfe282XgL_0m*TXQ%cu`1*Ue4Acf?9pa0<$=3WKdy40}F=i$Ul2GvP{)
zxk8}iskBw=-Kg!{oDVLWS+OaWV3Yqi_?e6D+09|w-TUN@7s?NCmHbYqR~sXsav%IW
za9<>37E?0n9-*)A0S1fhcGuK^Dt~^8KVe{q|3zx$fqLk6Kum-=s1p!MyKk=bTsI7a
zZ)zfP=jq*LqE)sgRdAabK+#>>f3x}Z=-eB~*Z}L}&k{-FYc-3gXL6Sl3Vg7+&-boU
zFAQ4giQ$UY5}S14^I~u1J=P!c1~6}tXhdaD98uB|TtA-9_rZx@0_q4|F<N+3LIQ86
z_MUW;vKD1TN&Ew+tZGM_?9F|t<4q~@UY5iZYqnY@JVbVpk6ykb(bHJKSC?rB>sIfH
z`L=@<y@IT7J2q@1)k35{sCR=`KW2g7Xp}L#mkSl!c>Q^6DUea>m;3o1>JB)%{~XXI
z8`T%LYDgZmgV}N>C&Y8%NlFBX$a{I~n;1|&u(36WEN{&?JoUvP`UUIizzbS+H594r
zO_PC#g7)iV=;L@pjjt<X=K<xGDR&^fw6dD_hvW~e-g{Bfm`~wf?cD(=GetOz|JF1t
zm1CVY(}VQv!76>wjU=urg$PaiHP$lG#w0s^yhvj338PHs7X>|QX_M7*(zoVeEAe@5
z2hNL6tyG~WajBe3t7{l|3o2(VwjGsGH}ImH6vHH}{D<s%Z>a0JfR~#z?Y}{;v@Vty
zYo=5Ldc=Z^*rhXC$)mhP-(iGvhfQZ`L@d*FDA!-x`ZWZ@<E)t9?>uRjsYmA9>IL08
z|MOw}4CTA_W915X_Y9wUsozsh*2?X~nmO)Eh`Es7>01`)M{8FZ5$;oC2Ijn6c`>iB
zVcH@}S*RGtUIBVf5j7be`^|A<CGx#iL9bIxBhc=iecL09Ocrx=i*WruQoIhs>)$C(
z&!s)(X>--1wd}FfO)4f5KD5{_&f-fhu8?D}qfkWiJm(^Wk8h3ULau=neSIBmxuK+9
zY67z3MZpu3${|SKo*`}P+9%?KRkI_W6D0I<GY1qXw$1<Bkf-bKZ%2nAka5}6wNRuF
z+zFjPgV~|Mv*)?=*1wW05L8DDe%7IOEuZiF(54S9t1_cr6Tl+^LkP8~OTLj`nr^h~
zGbFiuTySOODJX*z)iija)bOagwN|<d(S2C{PA|8|1L<Xzgl<50`cE9)t?JbXM+lRw
zS>QpBtqBm=pUm+zGS_?Pqc<*`XU-#pnFYc!>xkm<|GxZx0`09+Bw|Y(Hy*C`?(DXO
z!{HX<I~Tg<bbdTTM_GfEa}5a}GM+`P%BNl5qTtw(M-u)0Hzzc^9M^tz!VSE+q*m*5
zwoUqpPCfYU3D$o>oabmTf#fie<)9o;qC%#dNS;9cf;D&uq|WCmxej{XjiDSl^|B|{
z;#_oXzhs+RAnuBuaGjwqOmjLDsOIGq)Nd5LOE7nyT&I3gEjBvgQ4;NBTc!(JW>_!%
zEfQ(<34E~t$r#H|=`dsMWh?oB)AgPWovPncwN-S~YG(?Vt8csF8XCgHliT-d9dYb;
zoCyiTF2X{f`XAi)QJD($l|YU($@VUXeSGdWp}&p}me(E_9vcE=cA?}2oaJnv2-p)p
zE)dAFa;F5h_Q|o4GkKsX9O8IHE#^e3aET%5m}7HQ%p$#~b*F%A21h3J_J#2s!QaR$
zC>RY2KD737PdeB<y+cYfaO!VCxK!FV#%y~7_<l?~T=z9c=YzZt_Mahd&iGb|I!*9U
zPJhqI^ZV#qj$5{O;AtlE9an@zmDT#VB|@KE@r-4IH%+9au$NPbj^<n7zI6)+?R>z^
z?#)6TbjnhhYP`D}@<`L(D10Hx%2+NVZ=AO+HB9~vrt+}u%7N>+<B6*}=BwL~TyAkl
zkx|ka$na3L`Eu@((TS+q^tvFn8IjK{^x`59{R4M7pn>#G&n0hCbIvzMvqmtbI_!2C
zJ3nm|)?aWRv&qu*czv!rO|s^k!7)zg<egBb8EyVbjN^E)2+|<Uv`pqp<3D_wOW!Y2
z1bHpS^~x9{|21G(lhrQ?pZx;Yw?Q6NnC}YxED-M{CJGPXkvM5>Wg}@xW*1qHc)WAz
zembV1u{~3{Z!B}O`mZ+FBl1NKlRVjRzkD1moD%u418l(tvhMdd8Ao!flZ9b0T*q5j
zG^Pk(uFK1JTz{i2AWaHFN5Zr*Wx+T+l1n*;a_2^Vsa~OCQnlIXGZuI#qu{;GRP=bP
zbnhg}0;77W+dCV$O8`2uN!=VK#tJ1^zT<`?B8%yjtjoaCJOR=E1qNs8%`^W2?97h&
z0l1GE6L`*b=QictE#pOU1a>rn%xbGM=~t!@hCU8y^{c+w`$fX*?oOivs@^*nF)vvz
z{&PT!VDMgQIc5?G(|sb5lS|6jNR@_asivj)98~ly*!6I!g-c#f%0wIRDjMA|Psl2f
zn;haWI+pU8wWRa8w$7(?n2I^iLoz5jM7qAuUbraf_l3a%@;s$nlTGa#=1r&b87tx|
zO_tbr#gazK(~nQy*YF%K|C)<+Gt0GxhtJ!z5+T%|w~L)DkyHhYCrdi_e{a;c#fHq*
z_J2|=Ay5wdNO^eG#MIeth*7zop-l7O>n1YX?jU}=<IO_f>;1IRul{*oZ{rz&;BW`M
zVQrIL)hw&eEC)a?NMJ`C8E4=7dt(8kId~tK0~+{`-&Gz-U9PWbghu5qTJ939n~1Rg
zHQY=XzsVNsmuZ2sD)aUTdH2{`GjyFdcXxfd)pgeZIg8fzKuqN@Kh@>j-C4|hcrJ;c
z^w%)=>r!CYkC@RU)tvjM;MZ_p5|D%2gLikwDMkC=@cM73+JxrwIu~}dM63fGcR)8H
zkil)E^I_}<yXR87oRC>UsfL%n?AsTJzNQEGvz%fn{^4+&Z;A@NckN9fbrdKn@+IzG
zx_47JmU&RSqYYmvm#fXhoW;cQhTo0`!+4pkuECVqY#yk!Lbm=S2w5UB^+jg?_MH97
ztML~(Pn@PcQKfkXJDng6*Lzj10MyOBqd5ZK%eK5}U?pHg88yXO+-XFSFd~<;HS`?E
z3M2c-8x;O90RBRs|M^v#7VAPJF%M}Y$oL1*-*OWE3gTp&w8aJRxjEA|;aZ97V76sy
zI*)+?l~Ma1{X*~e^f&#?3-9*lFD3Hed?tfwH4E44!l!xpB`;gA5y#>K@%%a4cVBT1
z0eY(bb6Z<mG0$@-!H5ABJz84Y*p1Q0bC!q8?}R<LinlYKZ9d%EdaGy1IYi-l=rM75
zdD+jKwBb{P6Zguw`PU2GUp4402Pzvm{qZoE%4SWC%7!?N*4rvNQ}!RZ=AY=OzNd+k
z88sYg;;ztKY;Q$?S`qk)enW$8CsNmwtXxOW@@w3{UOt3VC=oUISvpx5Kg@7T7rug%
ztL(=+8Xf+c>f8lPssrhcw(jBMQ$jQ_a4gWuyr)6|9RS%*GnSPGkNnmpxH}0;7ad~Q
zMJR{~jgQ7kkof#~Zv$lx%GCktU4Dcc5<%HNWs*t6-TCs}I;O7u=?r3^G@<5)T2+iK
z_RMyhu6b36OV@>ZV$s1CFBiOAC$NVh8@wJjF=gYCLNVboR+lSmI(`z(K#OYLzz(J~
zaD^7?>@-xL(I%k<j=_ykhI7h7x>++%)s!^-tp)?iFZaiwExxS*>7`SfT<=H2{dSIj
zhoW}kmNdKJ$o*r@Ek%&_#r)4Vpsley$_1=H^~Hb9?SD-2fBnXrm@LRKOH_wkDSxCB
zhg+;&g_c4EhI@R-O}s*_!{!X@pPK2M6$`$9Y1TdTb8SpRUvCenrEMYr!%mBX!wyF4
zqjq?zH8CWy$)w;40G8f?nVXZ^i^w!0<eLPXG9r_(#{FNs#;{O2*TShQ-+U^V0!tq1
zJ><DpXA(Iy%uGCh@V><~4YZj(Rk?)MTl7SCPKNoCopYg}%&3&m-un0T)n4s>KasF5
zN_L?!x}2SeiXb6dpv8bVMIk}jkR(x<rc!%Gwt!TjkzeAo2UysAW%7)l$cNTcRY%fl
z>wMuHVzUzzPAS+zI;oo!6I)Cckj_LcXbKYbZm)YrP_uBp)Y+BlasGK<&@Epi{cUa<
z5xJpF{b{WD-a&T{Ps3>UX)NmEd_qTY4~4u;6tp*LeF#*bMMW6&b2;Dh{Jn$z>%slM
z=fHcF^pVd{QYu>|%w`-fD1fKzC*HteCzXYO@r%!@+F<Iae))n+BEmH>C=vmmAz_fX
zSfv0gG~s~4EUkjpY!i%zOeALfS9=Mc3^O<*IIyuVYNkj;LxpPbSMJe`GzDs!0V=mw
zy`2TQxun07`Qsqtz&DfSOp}?o`@vxQ&nzu|Vwk<ax6Ci^a1?A{i}=c3U#Qdr<l~0A
zG@thq+6c7eKkk?uFDhV3xG(px$><BMLgNXN#e+ER>-Syo)$eG-NhD!ijQS*`^?R?)
z(HB)%NC0<7hVPT!uj$&)x-!z!m&S6{a`qbMcp$dtZCz2y)az2<%V}bLD>+B&Ru=S!
zLnz@nhZWn_K$1oaK+8N)`yOfcA5W#fz~{et1#;GH4V<K**!j(95@kGiuLGoT4m<M)
zeLYDR{Au%wn8cJQl(3TW-{P)>)Bx$6y@S$zF>|C?y*tPekWd%(6%`Vxy@8A+qdjZt
z3b>cp*iF)@6MkWgK6FufxwG7OW7&elJX^rWu@5dqdq3=r@ZnHyUMyOY!u*_=O%XRV
zNVsZdCgj6M$glA3Y*KSI!LJH0j<}hPLsi4u-R{U8dSkeh#9i^m0x&H7w9*+s*~tGr
zxGc4KyddK7+uSJvxFfBo@#RCM_gz*1Kxu>*03?<q0^)?PiQVe+H}LD@fkwu2z%0`&
zT7vU07vz7xrhrtLHbyZ`U%cuVIt3AS%Zqahr}45D|M;N(CNu~?0fW_!t<%vj@s?F6
zT#?c9WD2l+Sj-OQsd*&mzDHL!G>uvIiGtLRR(14eGmYu(m^in-zDAc_8K8-_Rhr!1
zFKQ)8gkI+6SmAh9HHCivI{O)5G`>q&SBzIU$(-nbF?{icJ?I^uODf&vN0%^at$wSA
z#uWMtuFFO-wS3JX2&l7#5#yB&K~iw=M<6u5I__dUK1+<faZZ|$tXTFlz-HTVI@y^R
z!T3se>vy~v))K50c^>)F9_5OxhF8=8TVMD*%j{qDm;VnF{3~Yv&rkeG0f~fy;vtV5
z;?tlw7&iG<g&V|ClmWXq-_lzzx#Pmrh?Gr$fN^T|eYt<LZmVqvz3`E9<CR{c=}30@
zETn_oq7J-LU0sj3^Fx#(o${kV7r}Djk=zN49qGiY#R)l;32js|OSG(1o^u%K(`ky>
zxk{2zvki2dpYEb=m@2Q$C%Y#YBpEt3R&|hMFMz|JYLyj;vVANaP7PAdW=ZH^f3eD7
zxg4meVUU=yYn-TK1_D|3oEaZP>eMXO6e-T(9P$@Z?D1OB-nu#I4TxSP@p!!V6u;)%
zpM`m2Cxi66w^2R>+%ANk@2t(!{_vvyj+_7UmH+=fSyfF_L%z^fF;u5}O1{Y}&{S7b
zoW~nORVE-U2DWKRmc%2hBJH4JkISDEC7;U9^-%MTi3hsJ$dQ0>e20CwByv&}FQ@#B
zJht?W?UblF_Q0rtEb+V>`p)ud;ZeK(%D~S;^}<GmS3Jozr!d-Z9|n)YtnG$xE&S`p
z`R^DU2YCjm1;|^s>__QEe1_=4Y@5I|e$@5K$-bwfb+&XQp=Un+$zvcDVLol2xm}*R
zLD6!Dk+YEq-VvoMQ^SoJ>rkTRc9*y&>L{ql_w$*rA3P)U0^9}^b%YpimNrxw8P0gc
ztCsgbj6l5p(ifLxo_x$R!ZGHrO!Yt6PNd!*`1h>WXs2o8rZve$!LHt58iPrG*k#kR
z44DAO^|JFsY3r0Fj64HeU%!)PfK|6z+`%w2E>w4VR@(Jr<Asa5a-6~v^S96mTO^16
zwIFi30cll(Sa+Y;9D&2yem<h=9C{v>IkWNE!epbJl=U4G8z&u#Fr$l3PKkwTMsT<)
ztfMZ`C7918YNtWh><#4%XBh?R=Ax3zvi2qnZ+OTc>=519s!}s_G`Nd$WwBHT<v5aJ
z{=2;5F|0Bb*CNsO%xKR_4(~I6eQSECM%@))maA{azL!PR@cd7G@=u)qZ;o2vGfa#a
zhqQf$%Mx+oIqV__YP;M`nh#drjVYDYx_AR5_}(vZJFR&IHCrd*`*mRHDD|>w2+g>t
zkW5Pwm;uAuD=B5MslyT7^;iS3yx$SQ=q1`AD1lS~-JIk?FIpLieTv@@-y8UaajpO=
zs!=H_&C4>hKH*_05@kygH|I9i+34p>;ZMo%)EqJYfiW`|#^Jd8ZO<(FaY(}*6VQmk
zuBfpe9tSVCZVluO-07Yk-y1j1%GpfR<pfb>3CePSM)e0ov_oRG=zwnnpV&i}(f~Iy
z-1I!?Zb&NIIW*<ab#g=BQ?PypFdT<UJF$uVN4)p%7m4>7S<r$>zmi97wH=LG)k>P!
z9(l%6Qne1KPx)J-tCQ75braK@Q<r(5yGuXG?&vY)+8o5%e30&rmt79#{JMw=l4Bu)
zL`3mQ=GxrtdUwz|a1@xMIts$|`_BTOJ-wzIiV%=$>ZZR({=OKYYd(lZ3v&sv)cZL}
zt-!a*%BR~Vzqih<J;_yvT3vv&`Yuoi$Jt;N*z@b%E$5&il6Iap&B^4hTlC@as4US_
z)}=mO03=@^$3T;EjX-V`#=oEY|5zevL>TP|T{@%j-<G;2PEBr9au^!v2O)xC#|kuT
z5)zwltL5<*49n9WPUu5#j48RbsZ3wEPm?f(;r9whjMK~43AJGxQ1U>d_alR$p9Y`R
zm5U+8ocEGy_G-3~c$k?3ER>Ecbvyh{%=D*)eDAW`=`=!G!=7YKSr>eSvm_o`b3$y#
z+YHUvmZ)jIFxyg81++Wr@n<LVvdOz|e0C=)PC7f5D6g`HX7|fGT=%{xUDlnb;r^m+
z+FvG={2}OSd>qhonf7Bx9se-Rq9?rX?+s3*!bwA9)u4J41oQU7#P>w*`0Hc;ojLjU
za}VG-Zzu8~&n!_exAYSXF>`T)n@MfoOkN4Mn(7B<bs+LjQJMp;l)AjDnc-4q2fBC6
zp?->sMD|am7#VPAjSl~)L^sji|8c~sE6cfTT_nOZCEfwsxy~{qwkR`*n8I61%L_Vm
z?prjU-x<jnpf9ldGELnuuNf9+$ZOnUa1SOKe(^$m#p06-S)?s9%&GTE`N0qSCjkkq
zSk^S#BYK`!T;xY-rn)0%QNCY%?JXLYmR&Tl#(CY4ElMmJ@^Xo6fZ^+VcE|k&tb|r#
zXYPaPaee_Rwr20(V7=l!kj4km3r60ZR}W?)!aV---TL1>$zmg|9ZE`8bdK6Eddvb3
z@6WF7a$*!VGhTu({ciSYUBY~&%nmzhK)Ov|#_GFm?kmM0DjNOW{ATM!eFXat*yx-d
z|D?LeyEeiPYV3HMxMH2^d8R_|IvQEq^7BzK4TtYQNp|tm1ifc{oKKB=GeVGpzgt9W
zEvUrAGhP9{Nz52$x{-a`=7rwZozJ(V>eC7mEuEaMh|sMb^_8VQ**p9pgZp#6JB^v1
zYHY0URlcFd{(L>IzNpJVoC#F@D>6~iU40H4Xmv3tv$}0M`iIwPkhBigNB#s~L;qs-
zB5ax{beH0D9Lk}Q$T%TlwV@pr2Q3(7@z~Se#_v)k)jK750lg`bGxupNe;T$es!xYs
zOc`4W;cy-MxGe95%(b@z`o17st+2ec!^)Fk$+xkn8%D)e11kmM7<u~Xfs&GL^;S*C
zZ$ha$S=~ZL`n<nh(P9?uWD8E?u{}Hu7o;#3Qz=n<xbm|YLMAmZZFe>G!M=yz)}!b5
zA(JvmD0LPen*iV8*mTXi9EY4X&y=zA`!LrPvOvb-V}K5@=DYJdd5-Au`3<}qNQg6>
zPX(me9sSdB07eYREqoMGTp@JZXo)tV3NUqqiY+@D_ab(_IAby2(q6@3${C5m*7I9H
zZEnQKzhYssp?E1p{~kuVAi6PY8}RML+m;#WUB~q^SN6X?;Z7_81byZw?>%pkHJEIN
z3S2!6=vIjx+z4(>&UP4WWDBE4vEA>F6CB;~Um6xDOuGwfeJ?y0xAoTLs=1e{ml=0}
zyd!w)?H4`MFiiuI^Qqfd>Sg7_i+FYTWJ4OtGi@&R2zk6Kyda?Kx)$wjG$F0{-!1R|
z;`!jyTb*KFcPqjtnrVU+yy#YEvneGy1<T|L#CQ349Xk69=0;lbJ*Y}EJONew)ujcG
z<50OM=#}LPA>lT*>iReTqApvH>-SRlK~MuawUrg?^Eqc#ddLOYHK%!Iz0kMnawBVR
zHW^lvowaG%Jkcs?)YH1i39kuBC)J0meH#(eRKf9n_zR<BS+ynjT;+_6<>g!!={G;X
zw#*p&Q0dqYNfw!+LN0xR6Lm*NJ=}@i<7yHCP39Q8k%CT&(zyGm-afQ4x#86bUBm>i
z0Dfy)7R<vY)c>vo{F7Tk8{jz)(cQ_k^?E$gZ!;3n!b4%qJ~Y=``2~I*f=L-~E!^P*
z?z_)|{^jW7-Nrp2R{#o)=B~R@QeMH_Tk;BSBNPno$4bN#2}=c)-r|G+Y8X{uGPRr0
zN((+-$Cwn7yWzt6yv4vO#M<%hIZxezYz_C$vk|N<vl(XzhkCrMcGc3O$=$S$9k>o{
z?%?D?|D!v<xTCEI?Rn$b9DLd0-!G*#>R5mV1ZN;v$5_RqOKQJE<dSsjxzj~_%rXlp
z839<^I1LGeWNSICsAfjek*p6&FaDH?JDo{BopI^ke_Fg5A#%XW3SuMMXpPSjT@en6
zeW{!vl6w`wELTyYIDM;H^$&lfx3QLm6XaYW97)ec_Te?I7D>V-MYxmG_=g5=5}i%{
z!d*>9Q4zZ(h4q(aa_V{nW}q~YI2dX3+tMj9DM)(`8e@OW1FiO}XsCq*n^TgWYW1`1
z7Mm#0$J*X^kmvng6j0yv`>=(yW1K9ZS(}?oWnc1!;+wSsqmU&9T@+zyY%TqY1TV~v
zjSlxhA9tIl;D<W=gsL^fE^V0?>E~-`{xsAmOSFQ$@<!JnV)q>8Q_;r+pSE5G%f<Y7
z@j!s;IB()%GBJ??Pu<3HtxtgyLq$w~Xi^hn8$a{py+h>r0IhWu87xHk>&Y|o|4qb}
zBK;<0-Q=Nx@$cX4&UeIj)l-V27w?HH5%em#@BOG1T<m;s!5VbD-lqed^*c<doPy6F
z2k)Rucy}I`l@Ur=aN6p4fxZSdb_>7b0v{Gm9aerwmCCgr5IcWBMdZ1!C|`1}o=Vk+
zp4=;`5uN#gPYma8s^tc4r47xDWmq-e<y6}zoA)AAO^!yGiRK_$lj%K)Gh`b{#q{e|
zvP1#(dDhjw{Ad5t0(e)Vw1N}+V$8ANj);l;0#~KP)&;prk+ac=Ma8se#e~c6j)g*>
z5!ZQ?++-)oXT)`e=i)1m-8GE~=wUmh`(;TP<^P=-`k&u>$KVaJF+nJk`vMkd+R~}S
zqf!KM_XsLq==ybr9d83fNk-upS3Hf^cJ;j<jZZZUu3FFT;)HSL^G;sm4+S6B*avk!
zkZR~2fUUUj4zk#xN9x6R26|J=3%UB!9+KEx9x8me(C1p&ud~PP^QRaSG)!fm?I8B`
z12f`glZ(d8-7yt;bz?5)am^GNYCSwTHc?U-``|d2KlQC8aNZ2@S?;SEULmH`Tkl1h
zybko=B&<?$doxDW*KFf(=IV<>U$axvQ=?KqcjFA`GV3R-M&{J~^DFjyfHYaidI+{Z
zAI-rnQ?W*$1*UD}2NS5a%xaf0_}P4&ucc^J_J9sZLc7m}RWgbYs$;eb&R}U~Qgn<g
zmoMR@2WK2f;#Cf~Uw?uA4sX<Ro_kn6&~UYb3r_ccF(|&93$7X3dSA%5Lsp@pN=yH7
zLc2BRSv>1Umcce*OdnjK`vWwo8kdC6i*%B-EC^>0$h6A{%-hO`A%*&$S9}UeG<Hv)
z^op{@E7jkun)_7C=gns-hS&Csp6?XS1=+O1!r3b3U}qlJRY!-It*s{6C$#|IbKGGB
z?oa62FA`flrPbJoBBFl!19h@F5_`f|{=Zop>v#@k+(lr+xUqE$Q75M{W`<+0>ICH?
zVa25Vv*vX6paHe!AL7?9>`zZm=ftNW6`}_51WiSyXk11Y;B_EmZyfJf0MfaF^b^hC
z>RA16;h`S{U;4g`TYoXidZ2T<I~t^A&NbLE`dKJO87$S;EurfsuCkoz^L|FG&)s~q
zf}lfX-gv0$#f$(%w4S|tBj)8q-*0_aL|5|o-l<({jpY7*&6KLXPw{j{)ysmyJnN!L
zR&H|Krxq-jEW5%Adb%(A{X~z&V0oCdeu)p1j4qg*z?oY0VKQTjP40Y`#^E|v4X4pV
znToYDbktMm_dXjLy0AD|SI{X)iJV}q^rhZ8>c%!^nbd5vP+;$F+{{iqlO3J0&)oha
zQ~XbEG2k;2-jf;$D|8}Ug!$+=?4`R{H9SRK^S#cA@7R9LV2Q&DOYN7Hzp*hJ94^EB
z-{^R;Ia(=R(bGRDm#XdazZ+NA)~~;I^?@Av?PvL+^Po3w7GUGG?P>VnlT_KJqFl!L
zjJ37cFcoY3!<u})q<y_<NiAG3Z=soz1Wn-KgOwF|(r~AbymkCIAEhii&PtKz-E0d<
zc1zCoR**#mHcvfY(P40*aGTlZxi>HM#G*DET&7QmsHLuAa8pq0--8<xPp^Ygo$}jE
zw#3dKk7e&x=B1LooP>Nl*oDKj-pKR_?^+iR4xCC2n23HkZ*&5P2H_vUFWLwL<MvSi
z&s?hZv+0{yJtVL*93Ngbw}vZx*Z*Ij077pU_Gm-XrJRzRd8+%Ln!}X5#jPXme93_D
zV~30EnR{zhKUhlx7%New+uG7szJ#1(5tebWf{S<?*f*pEKyZi`1d<t@z7Rhx8_7<e
zYMo>H`7612_bXLR*4$mw@i<~-q7xqXxoN@#`}KR)jD&%Upz=tqdg80F8tcNU!zR~r
z5JJVMe|AqDRT>i0Gtiqb;yFL4xNvjUO-r(4GNnY~+thEN#=OgpOEbt<jSfDW6v+N%
zmL)0#=+wodW8&=8?vCpmH<gP{o4smgEy`?TaBb~nqR3FVVdL)5j}VD{^uoQPO=fE}
zjt}g14F{n%R|fu9DamTAWx)i3-;b3<haT^y8Bm#A9E6kx5XfbauPS+evFZ1psXk%~
ze&DLEYug^ay~PqoU<#sDGWn1cYa{VW!FGYP?9fMKU8(8~0=?8J95j5qLvK?{jxu9}
zV&XDHPaF82;=UW>u=f@U3j4SpNaH<0C!^s9v&UO9R^04$tsPF%a_nP2xLkm7xLloz
zLP1W4eqGMX?%6U3YHiJ84`ldvYYdh(9tLrQN;XfGO)T$RoE2~C$F=&vN@jg2Vx1=o
zu|4kUdTFV8Y`L%kq(}5FND499NL*NUH2`!7f_`?3<ca<lAo;&Z((>I6(zJJ!(4dN$
zR5D>jGj<*yY^D-s3V~tus}rA*h#1@jcdiXTO;?o#>8*Yzdfs30DwdnEV9tFvjSRay
zweO+Q^76c!Z+*wgIdR>LYus6WH;=)!>*BJ${mTAolxo7)J?NCK#ruk8c9rzkKmARC
zlOMK0<X-sHg~n3IEIGJtNg_Pgr#I)h^2-$CpipDa^`f-C^NBfI-Suti2^vd^$El34
zHDgsRk)BSjRKtAs^V~us-5!q(u314LUj7ASn#ZR}BSZ*z>*HJ2hB@E-t5x%*@?UM=
zbuF#V7m#O*keiCiG5+MmOCL+)<6YQBc-=lqsb6A>QOkA4Aj<Q#PjK)Ypyf8g2+r0f
zq8O6>f2*<oQy#)Q>^8mKPbFB@by)N^Zf*TjW#X<74%W~Y>r3T(l%0O-B2NMjm|Po7
zXDsTKEq0yPxx#z|DT@@S$Gw_p+5O@;d#f(;Jis3wAOoZw!yCOZakJeD=W1VS#QQeb
zj4KGltbnwWskxM*Wx|VN?A_Yi+Fku7WIEh2#q;u7Z6nU&1Md8sYY^oL6R~Q(V$=r{
zx@!d{9l5R*51*yxrU|w@75pfv#WVgeN;}A7z3#%UIl#U%FCB4|YpA7C<`M8IcK=J<
zYjVLTGo_roaW8@Zdo>k_L!N>6!#Bo2^*DFNs@AgBiA4I@-x?49GdBA3+n<kbOCVZy
zWuzusA)(&*74YA0WK<*=gX&K&e}f{)LFj?JY?>F_`ums9J$9XOxC?e;LcmtUU;Fge
zXfat2g|U9QUelv;K+1}&`u2Ky(c+n0b;WezBYAf(>e-4td%=EjHk?=M%VM=ci4pMY
zw+61m+7ia|w)Uwm>ooc%an^B>T&d;DCC=khE)By49#s8&pZ370TBE}qS8T{H!I8zD
z1NQ}p8pM3pc}-k%GF=EZ$)gtiq|a5V@n+XLeEQdZ43gJezu<~dYRK({`m?_}i2vb+
z3cCeJc9ShtO$DthEv6P|a1BNKaa$=~kuoFF*<mymfp0}*QRQ=<=L>pO02G^kNjVC!
z39=z{6+7mN%@G#q${>GX-15GmIbz|09HmVQ1!#y+vsNM@5kiH+E_ErbZYH=_>+~jO
zsobmW4e!Cuu7ng@M^Ry9ABPnooLc^)gi)8kUXzP!Tu$Qobf@`Ket6l31};1u4XJLt
zo=V&Xj#*=)KIJ}IzN2Z0ypI`~Apt%!;VsINuSIFdvWxGg*v7w$mEHQ5CO{qr+Pfgr
zIu+z3B%<A^%NlM}mAo0vR?Ak>V#`wz`=9p3|9_p3J_;Ms<y9mO=chX;YaKYJw#T)f
z2eePgyF+_gsklYJM5&6yXGBCq`*e_trBbbZpXmX=)lNw|z$%`hBZ$3jLLQHJ(Xgg-
zOO<1x)m8x0Nody3ZY4vjl^QeoQ7AcTixJuZ=yQ2EoI&+sHQ-_3q?H9u%mB=5;SUM;
z35V8wBRlxPUK7%+EY%}t3DO?+7Tl!J=*f%SIc}Hjo1(a+BP{|o(vq;4ff=92p@*Bj
z=t6_eu;4Uo>oB35qq#-<@zeYW!GUA!HGL_26M=H(((Js6HJ!qjVI-I%y#QxDY-7Y&
zQbW1t_w0EpP}_5;e7T-o^B1M&pG2hJ18<f4<JbZ}dru8x%AuF8+$T1|B*WyUUALe&
z(OitO-Op!GQkR-#e?FO#_x@&$2TDCy?|$Ag%~&=ei+|wKLu%(}OZck_k>{Z(eT|<n
z-LViRz8kl71@#PXcdUIxb@_gMYQ8*>RSX=H=$lUM$S)?`TI-|s$jJEnofeyvd9g-`
z<WQ>-rX==IZ`vEznszlQA_s8KS|Ur4Sjz8+yaFP5*LUvYO$Eg66}UK%RF4E>Ws4IS
z%z^zf!5k{JR?2V|gR7riFs+fmT5^s{Ea65Y`NP<)JM`h1ip)7QF}^GO!@6ln$a)XC
zO@%~hdnDIwufFI+(&!&$l7EN|S#Aw!R*bKAB%F8?EeR=Gj_T086K7%gpnA(?CM}2I
znakGE7iYh#mcOEq0Fzmz6z85{?aTslknZ7+?PGkod>*?bHLvc<%uev(RYgbYg}eIF
z#;^WE=T$Pr?6;@6wNd%j(;DYW<8L!{{fDVCihYNsDjM~ykCS@7Gk=&EdDJV;xE_8y
zEi9B_@!e~uw_)liF{b^<_q8*sn7N`sm!gm~kd{?y;3a%maoSo|Ps=h!6%&+5X8+4A
zQ<UnSQJBP0P;0E_NBma<<#Tji(xQ8y0TAk1EQ(Ee%W(UDRX)_bJ!laWE_IP!k2A0n
zv1@B01z#-I)d<=yz7$aUOkN%_`YExDXi@-)@N2Yc1fuZlEktE%Hj~zUJRwF4Is5yH
z4{3g52XQROvM^i%bcJPof|WwJcKus-pyT{u)dzTWUhY@t@zuU?=ydGoEm>9p`yGdV
zROva}V1?f2<o)@p`9!H7a(CsTUQx=i<KcCs;dPR4J$sqSBo%%4Wxktsmg>AsUC9Tn
zam<&2h23uoISCYU-v<rn-eZw@^6@nW79suvW^XDy=C}rCt`}A{?)&rmC{#lAx>diZ
z`|r{LQBh+QT++P{0$DguH1Bilh+BvYX7@u}U-^7%Fp&FnGbQso84Z4FnQlu+%V_;$
z)QfdZ5`KiJd5PeT);C(Kwi|z{nnp0dxwVp-^31Wv>wK`lb(b+#H8dS;V6vL{&|Uji
zF;`-%;a(wh-53G`CD78b5l!u!54ggU&wst3|NhT|KTRtP0>=dV?=}X{1HHdmifMh9
z1lVixMVJB0L9FM_Y2@-E{H{;6t@bzKz{Iud_4}UtGbEy`q`YR<jkQ$|d~uWztH~5g
zB{J6!8{+{%3{UR1#)hSe^PBS#Yow{lmNi_hq7<AetOIoy*$lPzWv1_|ifHO081j0N
zJv5r!oR9W-uSuap05JIM=eVlixGE#alv-88)BXKcN->T2e&VkxY2jDdnRMkPu?pRa
zbe1kh^dov0ZhP5yvHNG>qNitDXKFbS36~$4u3K9gk1_YYV1iC#DzD90(%M%$>jvn_
zAAZiaAm$4fiXI=HfnU#1DO-nivJf2SH^KpxubIqhmVZpXK_}zIpj{LYZlF%lnaOlu
zz&qf~q4mag>S83Q8xH<@?p;2678_f)`mpgVu@RA&y7du6Ca8kd9FHA&BEtVjfntr9
z)2DGY7^TvPnm<_=)+5YGow>=K+MMvd;-313uE^8o@WQ@P_|<8EO-AW^ta&9Hb6>Dt
z0ndR|PkFrY*Yr|^O!b7CxlM&s`yd<0sw}cA=MDr(w|12f04r_^-BBvFMU3NkCR~*#
zzohaM#yZiJQs75eHTGEV2qVbPCXTp5(XVP1UfB-Qy@2i$d^lLpKlChg>8*nzk9bf=
zt~MDb*073Nic#%<9J(0<-qoxcp`*u|HAKU|6uf7n{PkJy8a`i^=l8_(XQuOWhu(G!
z=IF$tt(6U@zm4lR`>Y$XgKyU3-qOAoaa~e4j=iRl8eRtBd=g)P8lw)T>eW<4*C;y(
z0UAWo9*kCGLLYW*VYE=+6e0H|8BGz-!8RM5P#z{We{JC#cOwyKe)T$O#zI8wN4xJc
zdgUMC3!Q<4-TqQevh*}r*N-aHjz4}syAvAVBK$U98)<Q+4Ec;I^O*Q3q8%2sjz_y+
zEsi>*T{uAmK%+iN+9x8A;w}dU`<aY48^@1zWd89mNMk)WNLR6+e01Jt6DHB1*ngK`
zZ<;jT1Pq~i9%zll!9_7)QtQiN<F-nIIv~+MkON)FRSxD?oQcyrl*#YDs}j9_2(nT*
zgwN?Dub0>FHwq)$XwRF|UVU_O_GnWZwdjL+O3-{{u$QdB{^GCuaoMy|EL9(~RYG!Z
zaTdlWabioOM|k()vBLM%z{$|-pQ2Iv0zrm78{|jv{%qGZd7|KWuH5mum+y9+PMvq{
z)O@_~KTIJNr0BMpX4iDsM}ooW=Wjhy1o@Dws>n9L&$y`dskv=+YMi}9;u-R)ja}++
z1l;|I_3tK^e~&7QMzQX12?)~xB1u>i_#OTddI9C1F+D#X&(1L>gdq|2$%3jj0<H&O
z#;eI(5b78Nz4>w6^!=tehndvkn@$^Kd5B6&mVqGo;uVsr732MN=qu5CAt|y>jnVA2
zX)nFP$FBA-R#Z3YmpbMTpi9+17RKKC$%xhZuOuS6huR73JE>31AQ@%NhH4=JLg8^%
zXU)bu)t}OF=f>IYCuMJMJ;pm8Xn6|>0lS6t2#Y@HWYh%xS}qhEF?Y;;GA^4uC*UtM
zc2>y27+uyFx!+1l)=~0K#U5y+yr6_!cR)Qt4%MYlsn@IQP@MBNS=0c(QPR_YKPvx<
zWoN!N$qGm8wlRyS4qAHm-&<#I!je-^->06DuKcuXM&`(eQ@b~6X>~AtUf^86T?V)<
zC%sB_IqDLiFr0?mcg?NjC5g^99c|X~wGj6D`$&Q85LqvhpE7@lc^I-YlBvs!)7NF<
z@LUdGHN+m5eYF}ns1xQbjB&a4)ly4`$?oQh)3^&Vm?XR*`ueq*k`z7S=lKth2KVc{
z5(nK@k?c});l}&QJ(vy!PqSdV`tPNbb1*Y_S`6+Vfejf#1758O;9i{reJ(eXwILjD
zm@XvTjpolA`?8$F&1b=)+0i~VhsH){C{RK5dO~xw#s@?jm3-tsu5&bfBiH;nGE4Q!
z!r*FLC>f8m#kHSxJgsbgHLSmw#HxDMps*)nD(uUm=D`85rKWfg(_<Q_<wis_bVPhP
zs5RKq6hv@M$jZK?t3~A+{94;rc6{b{>fb~40hL+UNHwr5SvL{Ows@Q`i7a|M`PPSk
zzFzYqh?_}$d=|x-(L?hppIjn3pyD<2K;;+Fugq4oysJSkdm~hBCF(;H;$N~cVoWk%
zm#&U@ch9JItd<Yr)4A9r_we$4|Im|zrrukz@L3HvrQxenHp;-6fWk?B1RxV`Hzqj@
zzv$<%`Sx|r5Fg)_jruu9t3n-0>b!cOp0h)P^Pg|AS*-i}0)cw_C5L_TT}l?gS78?-
zo&t|&;O&T(I~_B-MRarm0k@1jap=ti^rq7qa-0Y{>}kC2(Z2~}mtf9Ux_ZGz&F1w*
zqLdb<f7A|Lh9uT8R&L%nKUHzPM(zW4$jPc>!)+B(_QT78k3gnkC8x2$_yk)0opWnn
z`N_#G6ybb07lFzk)(_=pW6AEuUBVP;O;sKtCP!og5!Tu1xXEbZ*pQU5`)VOW%@B>g
zwUM#@ovrhjtsm8kklk&_YT)^C{{iW-jC7QDQmJ0N@Dur0<4R}oo&3Q|Jt6#Wp3a|*
z0H)O_smJQB|M;5rUVBh<5oKK@Oz%Enb8j*1v`t;Oo`<xTtXXYxLV?!4!KMS>%3-9d
zNk=;~tE#DaMTY8<{kj<`$5XSBv44F5NbKmP-s~8sLdVARJ(qSXXPv|blb*I?W2?|e
zMjF+xQFei_?ukac@mUQ9S>en(&m1DJmP!Y**C~%mJiJu}Fvj%@sxVay^4o<{)#Lk(
zA$O8vSGrHzQ9DR@y5oF{Sb6OUGqt%C2-7^w3cQWtL{O!C&1Xv8k4;bBTc55_!)aYU
z&Q~7LI(k$4_2zY+@G9kpP>$$TliK^J221lvw#pp2i(9P6h}z!2E)dW9_<>rx5ruzG
zkF|uaJBwQ};cot1$oT>w#dqLYHQ*#yh?&)R_n)6muU;5{g$|3syY4Hq4OX)COLL=D
z_H;@2EJ|m(6JI(Q6|NCXjzY22^(h;Vzcmd?lHpDOY2Oq;-{D|2LvHAd_nH{K4><2A
z%3l^O*|<E|(&|_s>tuvo8}N#J=Q|2P%=o$mFTJ+GqticYT3C#bX>3d+#`#&PFG9=P
zM}EiooR5^v&CB*|F(S8_+haHaVdEvgYk=nY+QPn53R7%su{Cf#k-se@)5yzq<c(3R
z_)Zn*&Z-XmrIzHXi}-zBKYNm>MW1Fqn*Ge6$CV+WLNQK=&cR&Rs<7ptvuwkdtw-2H
z#5No{1n1eh8BK(Ar#RZJ$sgG2-yjqTgk*!Lj|r{w-u7oaI+#hz{X`)<CQ+O2FnXm3
zy6}a5MXViHylbusY+nseoJ*xop~BU4xHwXze<L7-Tt^GgHebQKDD_kH@aw0S?S>zB
zFeeo25!jb3W7*wTmYSB<71KZD-m=${g_EgMTffMv#ZGIoTRuzNta_cJ00D!xHKN0D
zbU~MyzPjL8?z(lsLIlu;EsoS*0OTi~XvxsxT_<PZD8M#lSMRhhPbFZ7_AO@nKcCy4
z7Y0iz_9su$Q2y9G@-%O3UA`RExT#YX4kQ>QeO75k_(&7O_Ln{zG0#*odh1`6>(^q<
zEAwPbC{@B6wMkx<P<Or6n!iW;Q)_!5Qjva4d^^7sIdaBY4GI0iPHFBOkooG#*P^yK
z`zHl**QIZ*cVvAFDO|rG5~lBvz>Bz>1Ac(1#d2EdM#??%R&*Y$8TWor4-)GRw^J?B
zxbpfuPUq3Fmg5^69?Pm@5gWZ)`-*;4_u{Ie{<F^TN}};ilU6+m<RF}hE=o>a`O}@X
z@6V#6UB%4vJH=HVCVq(N=2k8~UDQ)<rc8k@Q9tiA<rd|*RSx_oKi&@?79A*iEEI;#
zZJj{UDD~<S=@X}?Vju>aCY0|@`pE-eG~Ao_x-7^hsj+N^7g8n~&dS$$6@%9yNDbbF
z>r9IXhrlihF!B@*mE7hGgG}9Faq>9C3zQ-*LJ~Jejvgh6TowKNJ);>&mdKw_F3l?R
z>C<*a;fTe)C%Es7&0fDWw&PkUA6gJS?-F`VN`G_{C)#~ZQv6ox3SNr|v38=Fn|=9?
z$kr@5)lQUcA^CC`0C1;{S96kKxTZeT^H7P?Z|AuPv2Yv$&jp{Jy(ioayKBN8D>JB>
zP>qEv607<(?|R>%=2k^tNfODWAFT!AYw;bPdyf|!cLGyT!%<Sfh?$asNZGSy5|2ep
z=tVOy)Tva<aTej7xMi^J1kwELPaH1_<_qVJZ%fdqM>to5qh1{UXmtO~fF=h9!Cael
zXFIWo9@WclDa4Vv-_(uTH@6lue_REx9gIn01Kc=E)x|G1nzjQux|H2C#ofoMIjmw#
zYnNnHy@mni__AVi^8J}lg=pUet3-SB<>}v0i=1-K<!E7&R;|m6KzVX7sk*z8`37`p
zGYI>Yy=M}Lnn&qcEUYqiHG{uDRqYMWyChWW);?0+{;tZUtQYfEE-9=7v8N~ze(^;J
z*FAI2Xy(pYcvor(XpNm`QqWIF4_am{s|4R^hcBF5qYlOikY~-FR|tG7_t0<pg@HV}
zBqR*39epHH@GzY-N%*&c+3Qm1siMZd+*NG-$$QnBmT9ZzwXs6TX)W_vYMhBmB>E>}
z{8!fV$Izi?l=Z~Kfi63?a!>wAzU{BiaB_KL*Jh4!Qygef^?Zbi9l!s!>IruneuzV1
zGQizl=o?A_<fSSedf!rO-S=y@x!o7-AEz;!OQNFn`^x5ab}*I3`bv>a@$kxQF>W<<
zRYVKO`2|*|!3$@W{>bX5T71)!Ki0(Pi483nJ?j)TTncbIo>o(<@&8cnh+c&sx{OC1
z4Rz3652kO7s}#!6BAx|27Ex<J7;|kL=kFs!d61*kj2ByLBvNRBqTL@_Ar<21nEJKX
zbB(rBs^ytQRpY8IE#wUjKoRlEt650V*~3-;^W%?;A&<{ZmFnJ;=RLaKzH>qkNafWZ
zbw9xc{AvbPU^;-0*grkziY&11?+8p-C?&4=SQ^>GXPgVSpO9dD<vQd@X$nU=^rguK
z`rrjMov|Hc@px_$A$luak#lA`gc4s){dzhk?>>!oHhyAW-g0@IZ!B3`>AXKr;5oQf
zTQj4>Y>MUiA?`%5GQZIRW?hxxeSQ!Z@8G;Frfgi!?G3goc(kAp_i&*O{wOwQ*p)<~
zbhXq!k9Jp^!(X*wy4LpL)kIAA$Ppps>M@c(GhkcFbgvS+){@!**Ia<#Bb>T(rrOhZ
zI9)s6f#iC_`9oC2(f#0k;bp_NXa}Lr&9%O5JH>!*kRi>#beR8r0@7gSu4d5)ok)`?
zQ$;(`SJArmH?|D%=h9`tW$yQW(8?2&zMiu*oVgpb42-S_m&It~&MSR4PZyGM4<tTm
z-d7&Z@z^JUzZt6isK5f!koi-1bfHL;vBT0v?HVCcbO48GVoP54(Z`_*)#MBqU2+f=
zK19mVM8(2{TIEY7nQqqs^+bWU<gT&Yg-Dh4>vh44v~0mN&2D3hW4#`p56&0z90|3d
zyMjJkdjg6G!;2p`qn0nFc7=az7$4aN^9?LhmDUT*uiT&z!}?YKhqAYhin8zecvTcc
zQjw4lm6j6e9F<ZjX^`&Dp=+d7N@*BiR9c#$8|fU7W(eu7A%=m8Gu+R4-uIt#*6Y32
z^~bEmwPr2${9?yvfA>xe(PH&e5a$*)Vhn*2H#!61Kn*9f4cp~eL3nM(&)$TLQM))o
zk#E<b`ZYXy!okO|4-UzaXPt9GRs`d|P{xE9>AkP{t><0*Eyddf_;K%l$z8SGyQkMQ
z#`x%>rfSSm0@*;a=;2;|V{$pNwNl!c@T0qkI{p}(9=;jdw2T-CY~DISTd05RV$F2w
zucZ7W<yOqY{EgbEyFMHZIz*&^=*UghR+3j@yn=>(Z>c;B13&QTdde89P{YSylFSm^
zdi{%l^zB$4!QUs7l^#T1n?0YNWs2EBS9>ho`#Aw!`Dm%N;S9LzlHTrbHc}rgCW4d7
zqh}hki@g*UydlNqAj6i^=fEGHw4Q#nAVjxG-TDBsDdB<@=b@u~dF=7x*nsD1nXMn}
z`)+hWntaEYHjK{#`7i4PJ@3hgDz8MgPAuYVGmn{}+u1(ev0$hX%-6%rlgf3)FbK6)
z=5#0V?@@O>g&PdZLbU#W{yYFLS$V_nBF7&8s+^nb_Nw3Wxb&(u(cgk^X6Jf32)t<c
z*rxjEFw+E!NEwQ)fq~9@zm@q;hEXM4j!b{3G1ZES=9gT^GWz+nMh(ReLJa`yF)3%S
z#1yD2%BrQbW5ni<qByGclZ;65&Z>fC@<!LBjYHqE^Y?hz^<6FTP7(WJ92dZuASLt_
z2yhr$IQc7MYxCVyPoK9VoUQHp0C^$U3eW?5la(4DxBOm4{|s}hr?jM_gF@zl1adJg
zx|ntbY<iDn1tl2G0JtDXT)xa%jJHhF!KeyGYezkj@pNcR4bUtFA`eL}#$sKfJv;Um
zs*Hnwn||XXaH_51s0=KOz?h)=b+NQrL1|W>|6kd`{~_i7|34(hT?@QH!@SKDm=o3d
z!cjeC+kRkn;K#Sm<*oA>oK-$5!awk*89QYi9$m@u?#c8{&B5C*`ynmCYX3Er81V(m
znsJtPzO*>c@EOgs{XJ<^pIVDhBafBx!*lVh-e<3fVH_6m`QD?%14@<6)aBn{k*7yv
zi*?4{B#bu!4BStmyI|$%0XZdiTzD=dCV>5Z01kde?6<JOV1=Er{CJ8jc0yW<uU=08
z?96LuM~ANzkpRHJh@bZ>;LL_|;6}?Ovdp$s_a^A=>+BBf8`Ns;K`^G7-^d5vD8V&e
zL8aR5e;%FEa#AC=;dg0jOcVW+Q-!NUPnWQOdZ}2B^YrzfvKHOxkO`A|1UI@Bc6adK
z+?E`{WUlGQB@WKYje^%j3oRrY8F!aam1)v_3ljdV9`mV=Kbo%Yg2%3FNxE4JjHt;o
z6s-CtrcOlfqj1*~wM)c3yDEJrjPI6`@h^4fitouMznLWlS=Yr4Ei$baS~VoL$#zwO
zlR2x-2vZ)o$cH7r-7HCq$bO)B1Yih8=xeTy5yuG2%YgH56(56kJAO+A4ih>6Kf$1?
zeUZ*92u%$O005kxD`m!~HWZcRR8?N18?<z$y(_vsIjreijh7)F7vcim6B-FCDQ!9z
z*{MxSp>16~L9#}o7IB+PBTSWCj<*C7^Wjps)JH)-PFIJjj4J={i{Zb^?V-U<kv6+n
z<6Co`-GqS>eM$3f&O3rWj#JZ@r2}Ag59!xP0+;VaS0-XPoG5C&z@X-Aqz;bN959`Q
zhJdG+CA|ZIX)pa^PdB>w{R99PsCUA@f3pph6c-P9h_EQ~^qvd;plQ6+UWz+IZ(Jvf
zIF|?P0D^?{s=yrdDK64t9?{ZDEn6<C9@tn;gg6e}VBZ2-zYCa;SoD|w<Mhk>!C0Nv
zS!2Kyc*_kn%5j;-Gy)CPsGU1(Q$~rXw}a$ST9TH6B1~yLi$hcMF4bUP-=ip#bKO!k
z!x%Sv({d@QIfOAc8fw=)8apEb1HkdJY$hOf3%sxSH*o>}ovVz3YrZ%VSRk@dq2l6y
z#(h++axg7kTcGNn|FSxz<@d9v_?nB4<GpX$Bf`2S$I^n;;1yIH_4Rq_wW&V&_W9sq
z@`oZ_;<n+Z8~(=VA8Jc-<$W)$f7V%$Tp!5zI#|y$pAb@^*xgjzIvHzIRuR7!TvioD
zk>jP%5RW!4>lHQgPz9pS%!yIay9Bu&_Mz$oK?#X=ws1Bf>-L2vrC(Uosw7w)uqMh<
zGhtH&iS;LCv=G7BUCIVkv?j+1VI$mre<N#tlcK36eY%aWkbnPb?I<f6wOu6|b<a|2
zZ7L&?@#p+8%=l`40SUC${9l-c<%{G+R0SgkdR51(d+Z@_g2snciQnVrSk0SQksZlr
zwgP!}_whCyzDXV)`qpFr5KUXr@>9q`NibRRUD8B$u`G89VDT8e0Wpa%TD}=LXTR7k
zqoyO9COLLpSs(OfKC`xX_~-eBsko$`rrc@9x1UzeP@9?=D0@^kYE_d!VnkhV3U;rA
z&u8PXu{?9v<V}#fL+)+*%geavjatCGLc$HJh5+20lK~UWG<N?WsNEax>h*|KLte2l
zGGH<Q@gn}%B+UP3UxEi=VhtKcG?}Ao?ecFzYDLouRp1sirT@%nve!!z{umw@|Aa8x
zDWSN(DNBa`(h#5T0|nx%$VT>00e&*-WYQi24dtMXLCeQS$(FJ?-ZOr=P+C=yzJ3Fx
z=8H)1=g4sVm6HC;N<~~cKh@4u?zg+?+OWePS&IDNS~E7L%yYad!T@<a*8A6%1+Z`f
z<}Sv|w-%=%W2K8IStCUS*o;UIDms<D0|~VS`^8}7Wjq~t7fZH(k_6vJG3La#KEahQ
z@=~DkUJRybdrbC5?zwht#o{@@rj5nkQeZ1?Mr?PO7*BhxiypK-bI9{d9pmXq_pnZZ
zt!Xg*i(Rv)_D@ZO()-C=w&LM!E1g|W59`AOpk6d-loJblr-UV5+xdwFuLoXVWt#ma
zewa+~K^^vjK^d+J1NgfOEV;K&C$J4yKUvZ9dD7q2=`e$vfd%qi28|KwEh|A(74)EE
zs3C-&?>rZ&sa{NPvgbqhh_gZ9on6g>$%Ip$Bd@GV$0Cx<Rt=f(X-91Ys#-h9E9n=P
zg@(*P0fz-)i-n;9Lm!EOp>86q;>dxeb#qjO8WQ(MZOLiv@@9i8*ojp<;@J7R)k_sM
z|6wR#@cViY4k|$1?Q$0{*^47k1^PdG3cB;RLCK>VO8*pz*2n+slT*Ll^#DR8y&8vt
zKQR2cO>-2&%q04@JfLqvSmnD0{wv`jZFqI>i%xlIoFU*G7TU9)cz@?jp^{Kb>No;&
zYLs7rh;^(ec9WnO_3fWD0e&MOd$Qv0xZvJC@vdWtcug#%#LZQ(X-Mh>IFkI%0TrN~
ziU;2Vz~0e#itHuu2Ys5tc!HmL%0;YcBe|In<MfvErag<PUdn-+#Cck&G4w}(|LM|i
z^@Jyo__V@3n+3?Hk2W)Ek&RzmoW6>_ZE}1mwl{8LBv;WLN(*gwFO6A~?sL$ls>xe^
zI0fBH77nyHOvB;o@RGZJc$lp=uGoN^_wVC3sjKSI#`HGtK4Ffyncn0M5Z-7PtVQ$W
z%+eTYUR-@uYk_}g^PDn5=5$Hpmi|zCUG`Ht#9B=ngH)yWw9Xc4$wr*&J}Yo%uJ!V(
zKgndx6gcLrK%6wZ65)mpOLfi`?cobQ5XP=GC|h%zR2_OGu|Zviv8O4AGi7LsIv>Lh
zk(KRLzH~rov3hL(R5@cvU`{UPg6!F&0w`sXbmn8(W2*k^Q@`^Bmh?YPC-@HCsbRkb
zF<Nh8M<m;A>p{$NPd6eMoW=OyoPV2vx_(!W@1FwmbxMXAuUBd`Jy`E7a;nA!V}?uA
z;Q6Fzna2m)4A!RarC0xbcw3C<!g<vXhy0C2+6Y6%=Uzng(To;4Ekg2)JLzW&XK64W
z_8n#?dS1KFdZC%}de%hBe>PgQE3gsS+F4H&vuc8%Or!cXFuh6w)t%bp0NOBz-pCAv
z78?!fD0O{Fy=v_NqXSnb2S6At%2jV?g|+E4%&Z@&?v`l<VEtvBU@)M#lo|jwwe9#M
z>a#OiY_Ld$7u-y?h?8891pg9H-Ht0R>gIMj{TvW0$Oi>m_~g^^JhAvn<|tOwivzXU
z?dKek|08PtcOe)LN$@;_IVZBfiGYFF@%(ZN!1pPZcE6WWa;}9r_W6NjZc`_n<4{8A
z{j1~$N3el&eOIhk_L)%@&X9_yo6Zp6==)JPL`jZ4=3U<-0Sk=p>_YzhZ`eWg`^b{k
zHi05sTQ%f7wu9W*dpnq@bWu|3@Q>NMBW%#YN4P?d^xkX-<Vd;}dC9-f`c5S@Auy|&
zqK8k+XA}@6MaIe3@;)J3sm5OD2Ed`?EKsa5jUxFpDx!pX%?E4!jM;9R2JrwKKsuy*
zJ#(6K(U{~hM8(jBraY!mN0?k^@BS;KktRY`&HyFLX?;-P^)zwPnxMj~3iP^18my-$
zL{A53Nf5U&xW5nD9?P0--1yx%#14^Y{jCg9jKg4$t0wg0rA7xEwJg4Uc|3qocp(`Q
z_0;1h4(En%mN<|f3O6poyKjGI=8tX9@8T=^8GE|AjWbzlIUXLiBIVF=B-CwaXg_+i
zEyCOwUluntxc9-LA8K?I3j>KY<!mVFKYZ&e@vHM*W%mUXY3I-H%M%=MvUA|SC2Mk?
zOF?$gp?Nk|NJQwKmLr_KAltk!51R7dBmqsqy^jn)-X~$SO)CZY*b}Fy--}&h>cE^I
z%KaNlSs!J|XcZN?vDqE;O0H(G1|wY#VRCDP9RP#0?pO0=7pAKZ`1!J#=v_C{`k$YK
z(vpxP1p?i2K=V*Q>|}ggFexVyu({Bo=*v9&c^MnTZ&sO1;F|PmbV=yYV}q@Vy6#Je
zU;n~_Rf@4a%WQL^sHQ8Df#-`aLDlI^&sr_6{3Pv6H*1-Uoo%l$9YphjQ|-JCqo2wH
zqrZ2qlOtZ(KtlAxd~U=YD2g`zUJ1G}-5L9Ht_n8YEt|QPose(yMk5XHTYEir#Uqn|
z4o@T4@nW5YaFJ3mZ4zztlrS&*6ht!%eP1Hb2&HEldFp;RV%3VcB-*dved2@2Foyuv
z=wIhzDC{G6IXlcTz)%+>x1Ej@%r-#L#NgqSO^@whVYGX_44htCHt0@{Lj5FIQ-|}b
zm67NB0jz!{y*HO;zb(q3_ki{y%9AAf{EJ;j>%*r`Mg~FGi6PbM2TTV(iqeDVpKi`S
zPFZmyUlN{M1HcqpJhV()048Kp!AXWm+^wq4V^P0;&8z^j$hTley#fnVUA1)Pjh;Q1
zw`umfhgwMxN>ikWpQXSgyEq=b{%h~5-16!o=%M<^vl=TTIE1a9>PpJLCQzQvwRkU*
zB!pVcIS`tAmC5sBd9hLI61Za!skS|jMdi!BYc4<k*b=0iI5qR>bmNnn-#y8NXN559
zjdrWUKeX626H+ALoaX1iDXit&C+hmThqB13G;+1AWsx~t8z^w|H|UhP&nwVxY^_Ki
z#03(1z4cnHFJJ8J1v6_J!;>8cQK4$#`JEE=sHhp(Sv96t6%IidJ%y>PY~k^(1+LQ+
z?_+3=?TEyn1FkN>o|K6|mSu5Z;jE^%dNPzL0BduoIG>0<A(fra35abo9roxRItB+~
zhVh`qapD{0@je@1H4<l@1?so#JtcBT$XI9mbam|i)l=^A&-Hmyek+TdfO^=Y^5fGg
zE-qjqRMWM5=HL?3QtblX$|_dS(7^9xhP!kDJF$|V6SRG|C8cot%Sp+iB%vitJT*@Y
zb@V~15?gXLO_?brq!fW$i<pfd7aYYqqK1|jzYb$akw8=1Zl^GPFyfFP%JZ%jc4~)d
z4yQx`LOJ1(7mlv)RuD@qmMuOWA)&G~LHGMTXZ}IHw33}RH#^-5c%mAbH5ASt7R|he
z!_;LnT4`+q7H+YVKH*r)ZmRk&BXBK#FXRCu;<#CBzyv>o@cwTNTDp6RQ`MRs@8brL
z*I!{1F`Q~?j&ydzRBQQ4mXL+mrnDMPsiW0|GSyK_Vb~?WX5o_U&*s1@?&mBeZ^nKd
zu&hUQRbc1vdM)|-7XM}+$G#Ayh}0HHa<T(5_Qp6o{5(E>j;(?4g|_Q`1;h@ip6lQB
z9{(rr&K+!ooC_2Uu$;o7fzq!zelBBw-Ozcam+`<-J*h~sA8^!}Fpc0du6ZhTfn*kI
zuEk~HIv8OEd_k^JPlG!5z1P#@5SKs9teH95<yBlxMgm)pdaIew`}Vy^4f7rYQ5m_3
zYD7if`y%ChO4>`vVgvhV7o6%vj_X9l9;Y$K``1?M^sRG5h@b>UV=(*s+HeS!)Q^De
zA?)Kty2tZ#{Jh%R6q|vQK$J6}PZYs$se%o|R0k-@*0N4%P|;g?<pvxuBgD_?&!EIJ
zbpd1D5gt8?%udiUjx3*LGN(n{cxxK$+YADwCix~9fiEwVvP^-@En<KEeYcdU<Ue<e
zivmIL-uQ-s^w&;y?-6|Z<71^$K%-odb>!lOFvHrYKAsoBAB^QYcv3I8G|Cq{B=EB)
zAVAN+tKToAA#YYQ4uoEr0pD?Y^8t$?SZp{^Q?3*D8KwT|PWUPhmBY^c=PtDa3yVZb
z(g!TjLDNa-<w4`pT5hpQh(+j^n2%90aa}bB#-;@pW_Zc8D)Dh@R58og#~B!~u7<)Y
zrgmwQl15N>7kR|7m%ow$imm>tR;{cehVJ6rqpr--Vn+c3B-TgY5^9c{Cz#9tcmY+f
z!NoW<tqn9JV4Ldr#n7&zoAUij29$?1kFq0nW6I(yZyW%74sU3}<x|pF7&cm(o@JL7
zI%_!g;UT`+arj!Z=hbAjzkBr9uh>nf+G%i>lUm$?I&B^vIh(;FXSZJiI~p5&Do?cV
zgBVR4@75g;OL{X)`IHwlf81D{B#yNu77NtAWvJn(|EW6nc5Ekc52S58Fkuax+`0{7
zB!(4f7O(}5p^x)=mw;*OmpA1<TO`j=cK*sTr=b#JG?vS5<Zt;Fg_V+bvO+O}KN6G@
zmu8GSMKN~BGDl|VcT8@NV5K^pR~3iS&_7<18Yn=%z<B0ygJhJCI^v3}AF2@5f()_!
zXQBuJX89HerDjs4rSaEkl2)=MJc~VU*!Ae{GdI}@1d)}(cN@2B83s||!eL``M!rQ=
zfw+zN^;-7gqB{W(zvX2^e%H>yieG{+Tbz{I_X{KbMJ;mr=zjsV#>($|C_JH7Um48A
zFjw!pzfYl}h(jAk=fB1q5KifHz7&ZZ@AvY<<};d_JN0_9m;;WYe)sqPTGbOftFuU3
z6xFHwl&1KwWjp6&lRl@GA`WIg>yb-EIiDc~`%!TkS7ZKNxrehfjp(4hGT~M=+9L~E
zJtZega3|76ofi_MhapCtH?e_Vu8cHBiBPUX!ZWMzN&G(jm)N#Cb!t#anz50`OGpHW
z1Z4(d!7G(17>aos{hC7`w*+Gn)AB1P5WcN->=@e#`Rr3<@Yq}nB9V}8Z0Pq2Qhj#x
zwJ^(_kz&XO3StP_2mQe=FnP~C&aWpdy^1sc>M0kxGL{Voc~_pOXj>piMx;)#(hoLG
zSi?4OCf=sVWJnqi%Iv>FGU0Bwt`qUOEt#qgx!^x<=gb5Hq=aogJPS)viM7jhZ7@Hg
z-+`^f%A}VtSMwRTK45Cvu&j;PF_3uB(f7&kI7B|~jbsJyF0^`_{u}YY2*0kf17fpQ
zQhyo2<x~^k{VYU=(wzKF;&a&+$y7E_?37HMZ^9X{*bP+$@tZmmbW#O*4Kgy7j=(%b
ztl-?C4?7l~eUF}L{Tc8x3Our^354))cd#v=Z4V9scJp}-sLnP*U(Oe>Ea@?LO{cq_
zj4A>wTVk|sUFcc<^tnTmN~S+P4(*I~75s9H-?U8&yS0`lg9X!Z>bD8j{Lgm3jxp+U
z{k3Bqe|K8UTWDADKR{bul+lyPN3dRcx2U<$+Rs(glMLIVudhzLnn#DdrHX_*fml0E
z-LHnk?j@=3HMhG6Vw&d9FMz9~itcp;O^)&(vWNS$231))Hq`h0fAGBcEt5j5$enHm
zkdO>VQox}RBH{AJks)Sc<JC1itC|{OoG)pZn(0x+=4k`UC=Y#$Pg{gcMly&1aB4Q)
za!v5_!AU#R{n{GL3WAKu<AaxzaK%~GNI4C5ylB0(0aL*CIK@Rd0PA>|oT7>@Tp&g5
z-|mx8rr7{R{UT^yU{PdpOXMbYD&UqaQD6DfV?7LUs&q=(fQ)UiJX-qThoAh>`<O@j
zFV8moYxr0=$~(Qo*kk70`iG@^k>nj~aldbGW@Pw>X?5xhp-&v-O(Q9%y?a{3y6l=^
z0Nn^imL=uYv@V23G9&xjZumpDI`JXT<D9n@JD(IARXv!#hioY}qkGr{09<&Ije_i5
z>YB$jZleMMZoNNQFL>-|`%S-h+(8s(Nq(O|7>ObaR$knGX6F~%WWQI`c%yUx`?e*G
z&<R~tTb-*`Lw7nvP`<1NU$0%v@BW8tyQ7>?IXURPs#d>$Q-1)d8w5$1(1r+88#i8`
zTRUS8>RehOv*W<(r~2Wb?AveG(U$uE)dDEPBY5S7sa<k?mT=BLH|6Va*vmDclxO$<
zw#U8g-rcM6<k=641A1b|cZw~~a*?-QL2dRpNY;quYhXhpv%X3WrBV3RCBo|Zr!BaB
z8aQ`~QZq@>Cw=tj=YXFD>cI{yOLh=I_)yk>N}*$vxTQR|JNhUzfo5XO=G_+mI7AOO
z7s)x<uO;2)9=0Fc%;hSKDy4!8S3YWrhq;fn+K;~F=+9>t+=H+|ZWz7Nd&Z6j+U~aQ
zFgd;7dL^xJ7Cg5pq9k*x_zAN%7jv_?Y4il!_9Mu4INtRDE(mI;r|te2y>UTGA${_W
zRB+=GFrHZ`yvwy#1y|^@>OO|ybe{>0jUMd1Du4BF+_ukc%bDvRDI}*`g!iUc-;30!
zk6giQnR0YKF*$2RdxyQ;_*&*P-_66V4lz4t^c!akT9F8N?d?j@t*)YM)1=dlFZ2G>
z{sS57_#9J4N!&ZJ2hY|oHXI%e6G5rQ=vhjPs=SFf%d*udWn)+BQDvU3iTF_@D94wN
zZ*f{ac5)vbHcwHc6$FClO`0}z*w=uE3Nno>YQfOmxLVrk;x%yD{Ru~@?Da_&1__2*
zPz|~pE4-F{eMYNJV=&{0=kjr@pMRM>h;8x9ySs_%2fU;m^Zw^N!ze6;l@p)F)|~=f
z#o(373MkjgPhYFcg2;sRr}3T?xqn|<^m-l~?m`3a_So;9Y8?NjC(@MNRGKx>wF9;0
zPz!aW3eJ3Eirk;KiqRiDHYp)un<-{Z?nmTJ|Ixtm>2er2N}OOf|5V(!&+iksJM6yh
z5b;X$0c|&WG`E0Hke0<h4kG?S-;wv-G@l;-oo*MymVq1*G;854muObFe<DJK)*&n?
zh&5|%)=-S~`*_XsOo*IS_y#vhi)==wX|<U7`I)!|Lo`A1O~H~IJxZ5Oj)t!-L_kw9
z2<w4b<DHT2L;;jF)zFW5v)0_92JzKKv%K;dD@@Jm^I2(Ia-V^;pPmSh$(&g27S=01
z43Q_cb^b^_Yl0w*(Wv6@b0P>zy>sh|1Kl1kp*Zv#jyv3+=XWb^mlD_elkE=$i5lI1
zk|;-WmFSz+xjA`^E;F@-I=AWf&ej1n8lIt$5*BV;2qp7yb<rB1ac0J@@EE0Z%%T2o
z>@^3baq|VtH(QE+y$@dm#`2{3(MKJ%yR}(V6L^OTfGMX(jkDZ$+u~zzzf8j4f7xU+
z$=O59(^0K<_}nDl>^L11^zlhm6xPw|{U6R6bzs6^8R`48%g|u3(Lnxvoo<&13|4(A
z5tjOG#6=o7o{o1Pj7t*`*TsFuGI;Ntc*;EjD-eK1`A@|if97eZwBie75yX!lp8BK1
zPR9TIJBLcd7AjWTa(5%5_27%-h<(DGS9yuA80$@hz(y3=Z}%QpDe3)SUUt{RKQBRk
zQ^)ABgI=km?wE?)a0lX``emP}L6tH<N2tfZY{NA`5lbO|V1cqH-I9`JtKvJJm84-^
zIcsO#;uq{C<|KKF3y&_!s{+f_e$BS2PJ5)s$2Ab65`}mWMzu{fQz6niP|$m9D&{cD
zJWF?jh(m(g)Umr-$1Vd$k5F;%&nM)9T%_imuR0=A=rW(`u9?iJ@!F$;fJ?@2QCdVl
zS20ucgUb@63LUPaRa_x46Vnz4Ag$;rzYacF>uK?=qpU4IDf8U2_`h<W{_(QlaW9aW
z=(L*HJ%zZ;M;6Wx^<z{J%I<V<!Jdf~ds89v#@HZ=i5GA2VnB|!f|rGQ@+Fxsp1#SP
z^ux}y&06ASDRs`Tc^2k^6ADu0Sxy!~t~jm6A)XK5k-K>=SyI*&3})Qliu5zmH+fcf
zm^1z7$VEjNJDVK5sUAUan{!DBaXks`+yDn?9$KGDsLVblAolm$prcS_R5>9*YIagb
zy6&gnrJxa)DQ7$!VzT%K*yOL9h7-rP4iVC@S4v-Zu{%FA#RU`Oy<C84(!VqTt83{Q
zsk)Sia_33-h3dmVcZwrts~u>q|3%-7>CA1OX*=@9DJxNlOzC%&jZ?;Jx(_wRh0ZFu
z&gq7Yn02P9A=}?>;EQKH_kugfB}s!6PZJigC~tp9fkW2r6;6?O3Y)bR)XWYnJ8nNx
z!eCPXzroh~Wn0a|;j&S6e6#knUP-5MsK*b=dDX0<2q#<M7kUE}<?M@Q7pc%S&9RaC
zc(tg8pr?~1g?o_4kcH5qX_Ent$34^;b8V=yM(bXFw6C5)bYlo6M-vZi^|%_jNX}X<
zf5tc*L%0_Ac{X27d{2Pk(64FWh*YCE8H6qAn{ex!s^0E-`{&T|*p0=QTKH|*dPA|H
zdZaOF89t==Z{_{}_+Tpjk8wuKK>+VMrw%~u=K-n&(vs={BiFcrN#8f+xs6VG%vZNz
z4fS<kx&iW7Eun&Qwc*2B2zNvYeT&CUDxnt(VBfCQi{p_{ise-i@0l1?Fg-qX)1mB^
zaVGpC1o!;i0ov+;N4Scy#E)ZYtez!=!b%t25M&gOaQZ+gvacYYmKc6o+p8GdhlKTz
ztJErBZExyUen&!wdHHwo3KPG21W+%ncrR6CJahHYa!=!(EtKSoec3>_E(4vdr(F>3
zL#q})(iCT9Y~U}cz12E*-?5>6F5R&<2*u3Cuu@j${&$c%oJ0Y%fG<)8eHbc`e8q0v
znAN|rh$F4D_DwZyZgQwnAXsfq(^ZziIZLG*NV>4(*SB2-XMbnO<mf9e;Mz#-k4)CF
z`YEI7-{5QQaDf<Rd=TpM;8FjK+*L{&ewXf%vUE#k7KrCgMQSPw>FY!{mapWtR;U-?
zO^rI~+xhh+q<XFt!5k^#FVsyW<YpR(7|tgKtJ<Yj3OJnvFU>vW8WtmE>2UhKlTf$D
zKb0Zu-OB}~RNdcY843D_^tnB(f+!J0g&($p&+uSZmA8|pe5*M?9)|ays=!VFp*Vt@
zDkg@uB#j<-h_X3WRsI8X-9gQ?^lm8Ei;p%`OUTPm;X9(b^nVjZw3xM`cuUz^8*uNr
zp>^bud+=I{Y<1sShf^eAcO_9z6T%<}zL0xj19#9@Z}4F+quPO8<-K4~c80%Cz{=ee
z>9pfJYYP?-=@{6rN!ZJm4YR86irI6AZ=LP!TaUqOM-@-<-r+s=X|J2HG8eXhg5uvz
zd&i4DGG>q4m;b2B?NeHG%!a7*K5yCm)=xE)<#f=9li8{COu;^`TCDD(ZUDpIC$jNK
zYLj^yesikNnb(?~{N?Ilk+qgN)sqNwGsOFqj201cEC9p!M*}CWqgeu|$$Pm>vTP8R
zRLn=G@p9Pe^F4cLTA%kNs$FX;T1Ne>qtE;LEWD;J)(bTa-Q9TB_u&&4s-SEw!D>nk
zn$81lT?Ux7E>e-<-du95#m$56m)}~t8c1S}3ksr6V$}uVM9b%08%4A83!M{!8%S53
z?9?nTHJm84))k~PA`0<FB>y)?tQ%`Nf3~jvfoylMr^U<KA(D_kicq@~<0NsN6CXf2
z0&ZN*g)nV~fh>ftsI42n$5U5Std*qi?Z*3_V9uHst&4aK)D^Oq9tIhYY5kx%ulM^(
zJoF?4aG&w>kC-H@hRVX@i{9%NQi>s@1Ds=6fg}W`Q^>_cBFQ;Om1*~FvzT(xi*~No
zg3;+XHx=Qgir%s;&Duq^#cZD-k%{pa*`*g@)iLNlU(d=onL~P3JC?|Zj_aMGC2oR2
zvx6;yyU5SoSaXkQ02gQ%yYmh9qyazN)TpO^K_-1jmnQYQ%;L&%q)zd1H<kTiR?NHY
zucj%3ilKwnk(f&)Al-=iZzGuxw|OZ30k$&joR#wh6=#O|6kB}2SGX2j0@w<Uz2Rt3
zQ_o@W6fX{UNXPEFTcNltpyrbFkp<sH2yr03NXdQFUD-R<(j-T(Y+VBIUJRtLb82f4
zU1W{+3!N8QtO^s<=JDKQj5X%L^I7E-+WLaeVn#_kC#Ry1m6s$TcXG8sAF;PZvfh}*
z{(^>i-fv0|h*hsv+hqKyojMjI@!f6i!C50acKDC2V@f`(TH{tsCh28a7l6%|Ip}#(
zE6*A+(AVDBc0q@FEN>8(h@nDv*aK_i)W&iK-;7+Nvk=_>I{C6}-)O&SW0<OT8RZ?b
zNB-QVVZPBD8H>*jV&-|()&4dINEy8M)|4PavHX(@_+<K<8b^JlWLD|zhwuqxS*Xb*
zi^H3ShdGz+Uh+K6@}|DTjJ~TC=g!tLQ!5o~>ps{wFpPgCsB7$V(_Gi1=Kc%dhLLyq
zF=4TPl4=p_l3X>MruJDb%8?_pS?~6vzD{#~?z4{G&ChgXgP)!%>D-md?!QQ>e~{wB
zVt)P=QayPnisFhx6tW(VwnAAZ>jE@WWP7Gp&Kl9PL3uIE4DQ$?yGaDLqFusJS>_th
zlB%x)6Vo}0j|ei8nFA{!GiGU%pIvwL5rw)46ZMui*@n0WEO~n{QpXb56Nx$B%Xzgt
z1)=Z6I?MV>I>juDRWVxH`?b&S==frb+GBcG9wNnPwvLN~HUGNHkcTQbTrzI@p_teC
zz`B%omy?D6tzsQo$qkwby8}VJ65O4RtE9H+4l$!!=UohbT(+Z?Jl<{=@@;fkh@I6R
zf4E~ON-D7dJ7+HHDbn2BRqeuoKEP4(r=KC>vS~m!iH@{e`$(#v_gh6A6ghY!$`=Jk
zE3Jf50y3(T3uI-Q9;vk08TQpugwa?TY~S!VjHa*+QWKE-$~=;B&0vKV@gO%K=%Htu
zOMH5$L9MPK3uqP(dNn#{2lbb|sFoA7!|~vIZz9pl%<l&j8-{DfZSD>oG+i2~RlAAB
z6h?2||Ezr>{6-BmA))hg5Q)}h;z89}4BGAgv8+e@z2hngd9lCA->u<8e?@q8)n~sh
zsA*%-_xrAySu^BO)km<?Px<!h45Pi#h+n{AZ>Pv%psl^4x6m3Pi+TcWed&G)p?d6`
z7krO#Z{+zZI|pG$J0FmOgk{rWGDD<?nqt_PlY7`hXmrq$D9ew=^J7m&ZE+sP$`i%T
zI=QHiK;hXhYA@j}zUC~`GoTy;jl~jd3e=xk1*!?Ke?cTcZuVJ!Zhsjunx72lYRwFY
zMa6nIWoJIIo$tbW7^vO3Z!gldVQs)&@rS&2Az%lYXJI~iH(<M}odfs8-(5j`?7?*X
zN!E5kiQ{1JJM2*p6U>n1hh0J9--n0f93Rwf@jW{)Z8}f_QZUG>?J0C9g~rnJAYmJ$
z;W>8V3kwXDm`cKobU9eGQ7vBBEen6#+rpM2nOpF1?7rm9wa91B)?M&%cI572D~_^C
z+VUCQuGxdJkH|-`s-(xwU@J@z2<AF1X-O+XE542Nt{_z<@>l41yyI2z&`M{DIo6B9
zi_D8GQub_q@3i39BGJp@hPTC??;Jaq1mhHcMxYE3FS#_PYB>hNO_C!5B|!jVtk?I)
z<Qm)A<j#Brp<|?oXkQSiH<_>P{dH!<40EmsIfi8#w$IqRDF2C(K!tPB{@ku__Du*z
zzo#v=V{|BFB`n}}7u_V-$@DJ#&}Ic3P_-u36d8ps5JicIIIx1I8}ZX7{qYT`IRf5?
z-w2~w#gWIb8W|@U@{Ld{5dxWHZP!;1nx3=pNA2*|&UKF8J)dWi2h+Ec&%xeNf`V{|
ze4j3Fr_<4vDKIRk7052#MndKrs^+(k_bY=XW<Ruq|DX`yV-Ay*sp2y%^k0~lIvp&B
zzx!^;;UxBAI&Rt>pJHi9bXhGp2@CMIc6+?S*S;otR@Mj7MrnO{>NOTFD*u(aI|sv!
zP-N!Ia0d0pF%*nuXUlx=@cV&>N7lj(j?l+u%gryJB;uIxm8KXUTCs1ZbU7`5zjffT
zZLc!de?RW?$_ai_v%SRIW@LZ-v>?Itaa&%?9vsL5cPFQ`s;_XmWl&q&x<z#-vRIbC
zakugSwaNiNt$>b2L74Rf$VrZcOY0hqm<x6Kr`pYR%MO>EMC&JJe%y@;k?{&+6X%LR
zhH_Qid&>Fxo_X5RxXt^uA@yI*(Ms6ZjRWZX9%>_o#+lbQPTp&`WuU>)AS-nn+jtbg
z;2(G9*JCDkoV79nez198B8PxJapyR#lqt<8KHa}lJinlZy#W7vNJx$Hsfp7ZKixCE
zxz=GuW6?gAcua**xpn)^X{rr%(vJXkO{ysMeYdReDdPvgRePt_fn1D-6swMA!o_2<
z@Rc5q#<r|#45LpvE&w5JQaB99SHef}`Zi}e{i|rWO7Pcol-j<-v`cs0>$8WmVd+RW
zZfTkcx`VoT7j%!yoP~E*aQi%T_7W0eC-f@)o<8?*Wi+&;_9fRoMeAeEeAbv%V*D?p
z8(?Yl_ld9Mn5!Sh=Y}q{B$KmVDMmv=NADhZdUE*l%CC=sEIuiN6T-QU`D|BQBGn>h
z-@A2X3+B@e3!=&gmfRl{zm+sRFn?1onT=t{1cAw5KiW7>M;diEIY<vB5`j`_Ptj#a
ztpDbcqM!GI`@p9WC#4LlKMX=`*X?6J6{L3h*{T}5T0j3O*UgLwXTP_v7g0q0<N81`
z6NQT-^IV0a6^id8H^~jF<yXzFi7e)HFXfe6w4V^qyT220xx4GTT(@Z<(pATpW@XLI
zPq(;Bfvl^7NJj-+6VX{nXf}u(efe>DD`-=k4`QuJQM<TiBiUI6dL;utG*kxYmsCHM
zZ+Y3Kx1aG)^e$p3@VP<D_os+a_Qv0JCB%w&*<Ui}ly<h2*YB8TwYG$_R3~{(XO@~o
zS$rC{_Crgmuu@CJYUl6Abh!TBPqBJZ{w`mfNY}+pl(R#P{FX7GzS@ZwN?9S!(rI1i
zk|1iamvf(yi~_WHxqvJkQ<dD~6`hanDEmcg`WxF_`0dTtP!^K)<QY0_%s4w6YPpr^
z;A*PoexX5i#2?Kb0txXopmUrg;-PGjt8G7fbyfgE&pDG!N=Jdg{!GvWX~fl>j(*2B
zN%uB4VEZ$DLR{}^zUqEMO?>f0zX6;%G-igGXLtO0&eZY3=0Qj^mEKqoI7fSzIl(1j
z>6K0E#I<4#+8=jt7gDYI=$=)eA#xXp5_&4>sclPbv{CH$YY}t|9#a{6*9ktwN}^U1
zY&f5nq`&>k02Tk5*TZ0E#rxGuZDfbDMvp|cF&=cJ_k9`SFHr&_fn<Z?H`&&6?ygC4
zHLRyQr~-}$1rL0W!Hei*u(Nw){mhwU>S}65W5tJFpL{pD0*6^qC-_lHz;o5u2T>rg
zch1nu1BS)(?x=3&c$L8;d}riRU1x7)QycBjPj%}S6?F>^pC5y&0<sSd0RBNUu}<cs
z4h!qQdL%C13$a16Wpy~A4FS4&MNff!6tYp65$D06S=mds3OZDstp4oN!yIvq8V3V>
zLh=y%Ybm6}Qca{r4G2%QrtXeHDRy)RjhC3>Qqi9-T{I@GSCM;g<O$fNenP(fO_nO=
zt6*b1h%R}@x!cMMNO~aTd}BNPtl)DEUW#QaC&8KS;M;$P$^PGkwzf)2y+vp2+eCLN
zu;lo3@57_%)Z1G=U*XFY%(3qeEO~uD2@JY@U*W)MtXuF#P`$<R4@)Ccj8A^i24SK2
zrvLBG+fUENuDO%S?sl@|g{pTvqqju;I0x$W(c<cwYc4U!(=rg|vLkUQP9f9?%d-@`
z4D63gSJfZ<1B-VxhDt<jE_B?nq@)}D)Zbt&0QV*qxh+@135l1jeSnC1{{{Blu*Y`#
zJ#+LsxCKE2+8hwEzR5l7^24qDvOC_^A<$qagj~#S*uVBqYY6(gT}S`;XA2nfqyuhb
zp_OlOq4hQWV+*O)hf(&Z>axJS@bFt6Zo+8$FdyQ1G*))O!;6fj9=ki=h`f-W$#wht
z#aBa%cZ7##jJ@65qmB(7IWkPkZyAe^ustp778dE}jg=A6O16n~VjMHu&j1el_QYib
zp5eR~F-S0*!>q~fX>zAop{b=|_E5xO3i{C_?9Gb#1Ay3`6cg-wy?l~^f5N>Q?DcQb
z`Csh36Pb{Nx{pd@3h3OlV{PC&vh|xiYB|s4j;+gWMbu8VY&(zkfEAQ=H323tB44S@
zq8$mK)ELY&YRN$EF|%~TEX+GxGL?)H*raM}Xp<q-^K5u=&*T%%5w)2RnrbHFT;%Yi
z>xD8qt`7xCJU9-PS=aiM^#x#VEp7OoOQumEs};IU-y!?EOLg4u`;gh#B+1O6#%KhS
zpq(sb*sTrir!&JGEZhFg`1`kS@#zD$zc*qsUeqOX{rmx7v1yps(b0JWTWzL76mo<)
zdc`=ut>U7VGRyR}ZZ%#h2pi)Pu+l2+^XJ2iV6YAKC0H<lzM-#z>*$J;`yxZ2pHaaT
z>YN<+=GenL1#LMoLJhL{O^N@jnyp)?G|hf%QR#)G{c&9rR8*K;sIR0uA^(GZ^k+wl
zi={M2!_e|lb4GHjVY5s!x|l$*ME9Y)14LPm7jIQaOkKETx?>LV-br2>O{QXwuzmCh
zhRF}`f?Fy5cG#h7)tFT?v%G-ldlJeLj#jnx=3pFUsO>|PqjXNF1#hb{oWbQevkz72
zh`;NEwr;bO*4qig=P%y-mRJNg3LHT2%6<#A#MVk-fA2Y4e7Q0j;$~Jw=3(WQv~x4W
zIWd-bj%UM5-0)Gr)Es@;h-bhzr^LpUSbr0AHh%L-G6x*K#M9~oRinHn13?WTK9E_<
z1Aw}*jqV3d6!{x;$^rIrTeo$xL-2h3LVUJZXkWqrIF$Bj$LJJ2b~m<q%Wpl_%?<Jk
zT;k=XWK!^$Mmei!l2>_vnM^~130k1U3$c6p$)E7edPMKVY)o=Zo^P|Tz1tGqB(#PZ
z)3Zip)bCv=B{#IEh8iy!Z3jrhUw!?#)pQm&kl+1<`Kb^BT=}+h?v2EpI0<vzVb5(%
zgw5;$B2c6wZP?n?nVM$eu%Ikpt-q)9(&d25-)^iU>bdgD|9!Omm)>>czp>s{p_f#_
z3n3?%XshpI*0$BuSm)e;5QZ6ipuU`xDO-<JkAWH`h?#AagN|Uhty@!zuA$(OcC0Hm
z@y#vlwZtt}Gx<74N>HE6zP|T^&xQ9vL=`dntyevj{GW;JG_yV4?2N&A9%@P4iTe-c
z*P3OQ)ls16TM7z_`aX!KK+Cr{BODe$oOZMY1ed^^L<*a#FR%)t`?BJB<lzR_`{#mV
zV%_<e*NV5#i8X>m#vM!cdR%q7r?os$$;y{^;|3z{jf}$ILB?sfbgr|Eu<m3X<i5w+
z<Hg)4lN(GQ+04BC#ArDf#7~OSJj<4{sx-?HS4#x!U`ZZ>sioIGbC-U2ViggcH1wE#
zW@BdQDE(M%?WcY<;{aVh#$|r+H8)b7$8P1BNzN;*VAj!zOE3wB?+VWQ%P0BEHSY!5
zd*vv`%TX(XS&<Ilil3Its_c^iOz|VuX*SSng<RV2i>kMoQN4;mI~|~l{K$M>qg{?4
z-Jc$bK_A6Gv?1&&c<UGShac~$XzsTT;HCAM*PwOvZc<-qM%#&hAB8r)J7RHf6?75p
zKZttb0Ap4SiK4%62`;4}HDo6uM|mi}MR}Cdrw8=5Bgkt-#Lo0Bsv^tOONTrpL#X0W
zFV`GC$kyEcuM%8$kT>!NTHx~QgEaV9U4R3D5nco?{JG;>VBe2QNIU~72Ez{eg?-<W
zYi1DdP)M9^adSEz(G2R{_~S4QW6xknahaX|vVXpr?KF9c7Z(Yf!H>#x0ZyM`)G%Na
zX*$oxoSw9o0zZGfp9bu?Bcp9(jzP}J^YMQ#2zEHlQtm(cG)cvty&PoZWES_S(p^ID
z4=jChZ|L#~xUA#oapd&!c`(sKv8@?c&>3vPzN#AV)zYxLGWcz&+r0wc_oqIxeME^g
zNE3Hh9VK(mQ|$F_bYWXw`&iC&r@KKfE?$XWoFpIcYbxcfqw(!2{#LcYAYgc<{K!79
zRP7Ll^mkecye`rs|C}-Pn5W?Fb1|E#j>>6@$uZwP#^^8WHsH(saE0sVE5xoIn@}AZ
z&8n%pOpG|?mc|$AJ$&uTtFG3qzQOYBd&r|gMdEJ$y|Pt{jPHeOUP)&qRL-r(CNn`B
zt?B4zq*QZjK|m4i-u%cVR?tVm9$7K8c&S3mhLP^U6n%e#grV0=uFLARaoeJ)#jA!q
zpqA|4E6tgT6Pxw~y0vF;Kg)3X2)FXvoi0UwwzXhDy#`Cl0guopl<?A3=>uOF+~p&z
zlJ6IGS;YL)Y$2uUy>AwJp?j=6ef%dk?mwZauEX`;UUvDjIlf|cIR`R9|Drv6v0<Tk
zJoFibt_MF<6X-}+j1)R#SOS(9$5#1^%t-fX3pfjER!B`Mhvh%$*}UiTdA1)>sP)y@
zL*FO}kNzdmlxY3H_<o%4jZ5c#zEJ_u*a~{>Eg4igrsvi1d($az9F4)&5Ed7m<I%q|
z`4%!$zX!>&$6BlHGR$|`s1PMFGY5#~p!YI{q(^br_YgA2!wf;;3EQRoK}+!|v@gvD
zbxK-cev{Bro(9gxe}}H&Yp+*0wBPSJ*Vp`%&pP?UYLQNAa|kkBiTgg`l9qZ!pN4=U
zhb4h!oJ7pR9gg7pjJL?I+APkXg{~Zzp=z;rzmW7uVWK0g^~dD#a)pG=xyyOve9H$u
zHDeegUePw!8?QSmLy>OsOrV|tEF8zSAck4ErmEF~eQd(`v;6FPOvyKomRAE6r?7qT
z6a4D(8J=I_bnZ+}pF)f+%}g3|n(ma9aEy$|sBeb?QP%UW8ZuLiI_cfK)MmiSXBHfI
z?N8V(XEqdp&-{^o*d^2Kv!M!7ABXT~k|U95gI-bN-IruWv=F6P-Q=CghVkRpryxHj
zdbtz|KxbXbQ&fBEov**yBM<5}m!m%Se$#3@M?+_ct>sJ0a<jLbsGQ{W7rijzdsSo3
zj@?>s|MrNKyDHtHbHsPOS=!95T^`l2xkxT?e#ZD77k!Kt|DrEm3lsFY!*Y%VC>j(b
zbJ+m#+HBxf-z`rN4!Khaaiy0Thd)YrRTc^+jJlGrqaAk}``8-%5$xW$0HQTKuZLQ^
z66Lj@1eCfgSt=vh7Brenn=OB<I+C>1B>O1>Ln_tsx<9wEpKi}|Q>LidLD%3H(W4G1
z_GEHk^5Mp>-yVJ|@3z{<74BAf9<%Rld{{wjg;|q_QXz)6V6kaHMNyr`4#O9Yg%syw
z+!dMV@<p5ScnAqlQ3QBQaf!NjC==wJh_A#*+9da2rs4-Az^y0vX~jZ$j5b#?cWbGp
zAqpQ0PdN_&I$@Y(MhC53z*(w=AAUqZGg#%S1?exJ<b<~F`fM{3cx}yA=Z7{U^t}o~
zUxmrr;JISCkG#%m24)R5dZRUs8OIesY?t3&{%Fvd>NDj#3Ca#WrW?vruq)v<4!p^X
zT$c=7>Gd(=s|nR+6(t^Lj^<lyc%d_o<%G{Ug*VEcJ+%Z#=%*p63=R#SdG~zgnB5t%
zq$Bq%NfJRNuBs{|$}2(@WQz2<X?VO*9%=te2bQ~~ym(-}Qx)*p0FHG-MUeZwXylts
z4UeckblLUB7Qy4*-*ZQGcW#tLJ<mMXY<_^4zZ>uAhVxV}uz=vl#Gdma0j{lfcqt;*
z?_{1<1qWH(?Qs_ppqjoKFPwl&=DYXa3X|}zvE`Vz@C_-XulI^EC~@Vlu}XZwh$Fa5
za>#6@Vb=&R8CO5SbPLKT?U*e&OT9tDJ(moXjm#k7JKx<gLY>a4^@K38xZyFuTMHo>
zpW^%QJXktj6cDr^E4hNb9J~dQp-E;;nsj_S*ApM5NXaaAYBMGceMCPj-8P{1`FXS>
z#-bxHgWNR0Zy<Z%CdseIA2IL4pVL`sh+(aJk?uNE{|gRYJUIGUUA8|bq!i@-ASLcD
z2mZnU+l_Rqfej2UETinOd%NBfhB8KEcC?I>4ZepnO;rhM{+v^pkBnO8xz}fU8|rZE
zWQ*UVb{9|6NMw#>gE}<C7l2gl&h4BKKiu(f`mW$to8($6@*UBatCb~FGC0&C22h#y
zZ@RZx%YE|2cU5{8gzrs%iw$UJP<=3zRS)4w<hVa0Bg*gboHMh=X}Pz|*mJ^kFt+sU
z(ipTt`Hm&{LjhkCZ|iGpyh|sE&5_G($Fa+UUocS1)mhk5E?~K$xqjc8<ki9(JVGeQ
z#5^TKqi{iT$}tH*KK@+&d?GqLoTZ8!g7xq)bGc)v(z4U(6~lA8Y!y0pQuaRV1M12D
zkc5Go<)+Fqi~KA>Q<AfT`Ep}F0gU9}Qs}B?+f#&k5@M7g!Yvw$Rd@x~B0_2L@2a5^
z#R75FqZUR^kds0+(C0hTk207kfGxO{?kG-4|LBUh;=dVZ5k*Zn<HHcz0P_IKwZGh|
z_}B0`!{yBN*OZczEgbt(VgFw|p$lX)59}<l-WE(CzvMZ?+%|aqiDEI~$u{SU@sYvq
z6;=x|t>Hcs1X<3xuBcJcTq$x9KR^@*OXs*U8c*j2RU6`g<=`o7>O}^HHAh}9ANGxw
zh_$5m2ZY4MO@URhEHLt-zaoeWvLcF55hQ&b9yq5UGpl_J5E}Yb?yFren;Xz?zY4v+
z=Z*KBd*D%P)d9yzuV^Lyc#<t7OeL-2bKqReWSjJap6Mwsxx1`qC{Pn{f9*?6nG&}I
zN13#_;%m&E%wo8N4O+LD-4b71hFkXo6Tbd`bK@r7{ON@3nvUDUEStVGiIhk^CLsCI
zR64A3(l9utuNhY*{hI<1zzo3Y{W9Mz^GURn9lDa01Cz%yzv#|3T^ZA2IrjK9XjhD2
zn>ne}N*3)}rnnK;b$LLAmpxPnl6Y?8-LX=~u`48ghr~u4cwgbW_R6nRK*RkBt9A3v
zOA-L^L*?}QZ{;fIRdEgr{&YzeG$_7=*~5ea8fCfLv7BpQzRBAd^lPbuvE}~9c;D%H
zlu1y0(gRqwRe!$yYvdAJkA(FuFh?YHqol6m)(YuZ5CeQQA&3od`i-33f(<npHR~y5
zM;;m(ASkvLfzh&)LCM4l*BnWF*qUA|8<spUk-o4^J?M`ZmU*ON{_*G2Oktfcr6m5o
zyp-I^Ca#*{KQ2e#BbjFX_kj?9rPzXh(K{nf%rj><j4ZOKO;^O`P=!->IiKm>oC>oY
z=CVC&+$z8Oowd@`zmte!e^xu%AP&Qw3U^iVzUDp5SxOYO%#RYp4+}J(X+bWUWZIb6
zNwM+HB+~6XND;zoSmt1YA@94JE?<7-_z#a*6MguL8Gw%Vv0QK{c4AgY3OG{*6ys&*
zZp#}s3`EQYu`MzU+G^G~<&*dyi8_IJ7x4ugi!%!KFt1Tai82Xemx%qt-(Gj{O6NJr
zYFxLQqWj`duLRTr99A_cgu=*!w&%;o-T?Pd`53;&uM`t>*V5jn`|6Ze&~D=D)H0B|
z`S(9Po@S}E!zXLSAu2;2Kewiw|50M`<H&fzoc>Uq?eD8G19Df|hvfWtL@~eP7E|4G
ztvB%3wd+e?D4n`9_(fh1XxU_&2gH-h+;2CRJ{v=}HwkqMSAXxj*UGxj`#e$)LGZ?N
zOuMgsA5cY$6R^e45SRnuht}c+Sflu{k6Yh}EcGiUAgRpnt=YW6+}%Ug4T`U|h?}Ir
zxaUjtf|X?^diDKQ$$n5M!HF(ei^+Dq>$bw~ZlNc773aeO-qO>cN)3$R4(<4MH~=r?
zDedKwbeB}wFomjzPTO>J_6ILBA&I(ljK%-(i+V}{?vvKYQLnc?4ieg>{jHUY2j3K0
z77bIC65@^u$hG<|%c5kME}E9-fPe*$<2RqB?*CAIq)i*wj8hjd-Z5${1@Qa!DFp$-
zt{~{YMDz8`Z_M?Xm=@GFSBy$0cMbcj7qN!Jv&2gu>TXY4i)XU@taM70TKyv1GGAcu
zz=%!%V7<f<z@P_Sog&?)mU&@hza@`PO&=}xAs59ru&~-Cp<;ctsd2&Tg&PU4Qhg;d
zx_JH^$I*ebSTp~_GBTDccNlW~dO6tWrArcW9ye?x^1MejHPOXsGO_hxSPWVpFVqa_
z8Pk7_M;QrIv$dxac-Lc8h=f$JMg9EGb&?M_hR7rWvyzTmf1<B=M!WlPV2CJ}q2Csp
z%VqcfL)m*pHNkb=!jFmyqS6!;L<9t+i}V^4kPb?h7U?DQ-lHfWU25nE(tGa^0qMPW
zLazZNKp>?3@j2)F&$)UJ?_Dk!8H1g@_F8MMx#kouV^kp{PgkUFV6Aat`Vmtr6EroI
zUd8^G*0`y31mzzVS?8^8{%^7>OT|Y*RyBr19=IV_hU;mjbv@trbw5^DAqsY#33=$z
z#g+n?u2KhIPC#3IM>5<OjyxXURS#qfeO!BI$t%Da!;(q#8!D0yuRtFWsD->yT||Js
zqm#(i`8W_6@6sgKwa+*S{;ekK;&jQusmmVB_w#292(3Enj|Zjlpe_(<d2Z7{EUl>j
zQk)egD0GhlRa3B^Z)#t{hhEC#Lv2acRS{_SlrDx+E(RhMorYuG8#FkH67FuJ_5j-t
z8z)$K*UQ_@=>k2&4|L(cRDwe7hS?2guAPmO=+j%bM1DR!s|4V~Y2FicZPgB;VNLHn
zi$*Gj&$j=H9Kul2O;<Ox<l_H)Q+()}1^j6He!cx9`n}@j@8>rh4qRv!&0t#c_J2u^
z+<KV@p57~>BR<qBPH2fcsT7S=Ulw{ne9g~WhN~MaMK4_*(Dm`y^?bV3>&suRcNhQ2
z01^4>aa<XN$DlC}ZUKR7UJK*&AsASr)PFyBaC#t2W>|Hr;mh7h?S<DSZ^EYuiX@-i
zZ^OD5W-<O!3Fl7({1fZ%5>Pr$`FO`0vM^_14u&`c%I4jjC}ITmq*P|2GzQS|4Qt|S
zq~Q+fIM!QRPs04DN+gIzD2;OkFg;YPk3l77!94RDwc+QD$tKXg+rn|tCQ14FKXIQE
z_4QoEemQ??y!aV|7FQdnAKBG-yhn8or195BdT)v{U<=$=4=CfzVp>yMy31-@B-)?+
zONIRMGVAGZO2xH1t;thNL){scr!Cu(o?e8dCD{7Gf3rAf`FFGChAJ%EqeNxf*z+2_
z+SBEz+Kbh4yJ*O@>@?LnlTZ8ue>Mq%dNZ1Po>dI*u3L)H{Y!=vxyg_u2XXd^b(Bb>
zT3saw#T@}^?kBCmzVm+<U%{b!GyOO4pQ$E;OG4Jk7+k)uwHdXndkLek^1P*f!4qR4
z+Q@<CIMvmWu7Kl5^4R!zK~h7V#i2)#pH&e|Ak<cg#pZ+iXEL~F5C7aR==3+)6_isK
zmL`xS9m}2E*1Y5bq`>?KAzR*JPu->2=GQ#;Y8nKUg9FAFll&|%bT>4~1LYVQY$oan
ze90hD`t&VYG#@1{7VMmu^N&6)G8MLV7d0KBT8xgKi@Xalbm@aa5uCusG?hU|nfxPu
zn+%9niL&o5|3yks_-K|U>*vTIA-S50ySE%5CaV|Ytq?!qtT!nl)^J0<fmh&$-OtHr
zOmB3HYb#P%`WKaxOG`%|Wfu!m<(F~O3*~@iCjvxx1daB)=#)22%#7u4jp3UCfc3Ef
zuj*@GoM<jxMEKIvSR3%57B$&j&q?Hkw>~V--F&g>`eY^)!QM0d=s7KF_0z2nc_HD*
zh`##77YC0By94cTdApy%{;Uui-P9qKwuKS0ye3OoE5M~R(-O<CfTvr+69G|>yGaDK
zyUV|7cdMhpKms@P^5P+$1dYwGzEGdfM8tK@Vj)3v<eemEU&-*hA(>|98iD}}=inO)
z_ePHQL?5MEBZRy&dXZc{U7W_acBO|b|HS}4=^xK|8iu_kyPWlZ(iZ!kF5FOGUGA!H
zni%^mDi$$H^07Hsw{=f@8*osl?t0c46_{TI5=7H2klbi|C9T=n@yf7JKG5hDFX|ST
zv%oJ(n}3R!T=h7TNHj5?YuNLta-*f@l|WM5$g3&3q?K*egQpv<Uo&CRF(w;b)Dy1Z
z`wR<u+Ig*U4?T<-2>VFeKbbpU_1Az^a{T~&LkkeK+|*3X+szuh_a`{sIra0}CT*w8
z{SSB2cw#XC;2*t)n$yy}5!tjyH7$hrB0mq!_9K28N5%#K%na5XZ3t{5L*DYkJzqv*
zyLKv|v5x$&Jn*$CKc^#Mf7rm7tjfkUVj*FbN0h8pTz87B{cxjk?iT;-(?U?o;BxOF
zP@C4d#(&|(;Z0)qX(H{&%M~b|F52(mA&Tf)c+m4j5jUOeyYBWt&l%!ZHDmTFTD|?i
zci#YZxsYdQg^pv<dk}KX%GwJ<$u{bZGDRu3!3Nf#aYs-x+!zD&;eGWGyNx%dYSImn
zaP}Y>0(X-9@xR<j&7aZL!+QJ`3G+t)f*!(iTK$-W8l7f9&gp1Z&P(}Ksiz?JObgC|
zbDc3N5Mf8=MQ3f6AA0>eD|nE=qWo~P-1^%K7%%+D@vaz)k4=VD50CxzZn0lT(22TY
z8UMjHud;WCVMfaBNHNhN=Zy|<e?WaoQyzA5K8;%y|5j>X?iK}pWzbSIkxODlls3)x
zuo3Frd2dFBHJ8!u7=2`s54D5w^*nJc=luC!sGn3(&Hj@wYWF*Jok(cMHLk_0XOp$H
z$0HK!mietjemK@mas^uXcEMqI`83?o2d$Zbh!-gOeKN29WeJ+K*7+uQ<#&$R+x9?I
zYLe3Z6Bez_SapsysL>G=aQO@E`*#cSJi*uZ1|`xO@w9R~INJ7kMR%hz)pV2LA(y4(
zj0VRS(s?T~1DYWM#d4nA4y*g!k@*eo#bSB)X1;{LBMrqZ8T@dRo;}<XRf|=j1N5_*
z`=!*jfagsrr!Ss!L_5g*^D)YfNwf|cqqmMQI;_F$#9>E$M$b-42#B<C-(R`B$*qvE
ziiDmB6>u@^`+%#|pU-4Z?U^CIgCCQga@D8t)#-d#dt6+iCog4?*ude*_d;(Kd%g$0
z*u!5BdAtAqlJmd7UTcV`4+X4zSN^<wk$SQ?3$#z2-!t7_%oaO1c|~AY3MDnIU-m4a
z4WMTRc#pgy*I5SH(Iw4*^sj5bOC8z?t|(S&7)8_kWiXjUL;3mgc^kgoSxLurV0)66
zYs)o!mHisPwfmLx?%nO|rN-ePYGH<dnU-ES$@O~+#@n&c)zdD8B&Zt`&z_`kppc(O
zv+WElbn2kJWY%h*lve*Qj^!JgoOuq@gH=O0N71h~=<T?prpQZnC`{a|0t)M~^CYZf
zQ~z&Cy_6SkimMMMlZ(#?k}#J?c!FulBYVbgnzb4gP4Bu1|66)C(PMR#yUS=T416KL
z`B3AE#r3~`_OGH|`!)6G#r|P0pPrWa>(S=BL2B;vLVaVF%tm_DW*756TMpgJ(O@9{
zlA%>f7&pgEZ)Tgi?^X%Dd!$8IcTd^#8GGx11lL#S#_emzY~RxT@U2I!M<|{oFBg@I
zTe7&usjmtQ)t7%b1N7qDyON`#8zi@K4g(Bzth!1*ih`Fq_7HrmvKN=)%2GfEMur%W
zS-*#7_it?>4JU4f9w?sxawJjx-j4LP7RHv|!0@d<vDu71?g8Edk@cRCMW}JyaP|7L
z9O;R4gGDg6UXA^o{4O)x3fVIH#<F89z^bRyvJJ0B@U&lkY?XFg8((_$23VSidS771
zi~rG_rEkmidw=EjZltGBdbV5Zn|0EI-Qcr_*Vt(2F|9E45+vQFUvqvzeVv3G9P>QQ
zypJ_OIMkwNuY?G~gP9Yy==t$f5%*|4vI*Y>o;ZX;TmPK25{6IJP^Aqzsy~A{{CX0t
zZhu^E_+!IuAGAA$gBT#MeIDJzIGDu_zY7qedv&Ni_1cJGBy&v#?UdN5AA=a`6yDHW
zig(N}%kA*Sdybk9;&S)~0{Y7~44{t@sNo;JNpoYb8Co8Z%__Q|Ao73o6EIaNVzmh0
zoG%=YAg<T1Z4jt-C`@@T0Pg9{lPTl$62Km9!}-y4Y&ElW`y32L?iifnybnM?v~$ZB
z@$}PrYY|%YtHRB)E0wSRRppEKC~lCCUWqyQ!@TY8#;U+TCVn%dt1jlL{~TZQ%b|DL
z-tEX1Dco^16g7f_j|_`odYOklH6B=j&V8S8kWzebUh5P2#T)h4QH62|jK?k=;Y8CC
z-Qxi^;jJmvk9CaJ;1hlQ(<+|kReoFnNUrLX1E<xVH>kPyw~P-ob7IQWi_EYsjGGhK
zuqZ8d*oO0Wr8fGiTd2wW7zPL5$`_THAd&K0s?GXRLGRSKp|fPy2vXW5i6fp7AP}=)
z;FgL>20TX;X`Bo;!`mV>$wb=RUFMZgTk$hp0ryvAor8wEZ?PoA!P4}m?Sg&XMna@c
zv+#c+K~R$ua~JzNaMPpm=_9Zb%STL88-7LLd;!E!e(UO$pR(NFV?3N(O<lhy2isKd
zx$pXH<(5dGT#H`Zi-<6e?E}5G8y(@sr`h2IPCxkclEClxtjfgvFDX9?31y>>R}D@W
zr|kXBzcb>ABj`Ew$iMY3r7d%ds-|}~gF)oiTpV3AUpizEduLeHPYG2pp4q2HBeR@g
zSR;7&N2Cg@^T^&gPapCw4Z^yi`2(eyT&>NVNn7D3eXr%Sw$MJ=KxaYXo!UB>qA2IY
zx1t=(+n=Ltxk5Yc72uCT;LMO3*jB%#xdp23bnO*9S}a`va-!ZRu&@PyTbX-wc04@T
z*0pEMT-Qq_>}RP>?QxMIajRgoBUE?kd)`W78#qd0t#^6OD${>;FRWPS%2$vuInqj9
zAPfr(PA1y@xJqXCt(tVq8BNu<1Ud71mZDg!poegP_%?xRB(arb);*=pPm#ZAC(Rbh
z`t^(I125H=^@9ZCFh5VgF$p=?W!C!~c7z)~!mz3jh4t7uQ_#Fw7Wh1v?UYzN&<V6x
zDO>W~`Ycz@cDnJdSmMMiUAMP{6}C4za^xKLQ@VTCov<0{HJKd1No<fid-lg<)=m{|
zMrf1^Q=Of+JKvsIFEY{I`{O+w`W<<a22Cq|JJKKE^)p%WKB;|-%-j#a&W3<+A8aGU
z0n~3r5Jy~BSp-wDmT`t}Tl`6ewyvBLd=fP^*SQX{BOjca9w7eu5Po#gw!ne4-95z=
z*%%qk8L!bcJ$v*&S^!l{Xr}Pqiil5KVqsjj1is42T0Xg+9a!)q`{c$knMlKrh?ieJ
zeG2>(ai@TogE%&Z{(*vU`?GKp5_4cP?g*XXdMH`n<Wsm;q?V6%jWalhABkrA9{Qra
zhtEZ4DvzCof8DQ>dwE^}4{WZHxkW<$=^vtJ|6C)M{^$CC`1rDbWb(CuZigmy6@NBw
zeLwfWveXK%j`DPy%p~`h{qj5HvN<n*Mg8@SIG4QK`Kd{;D~IaFWx0z5Kqy3li|=Sh
zXj1Esr`>$c%gxK)W@mw^EML6d;}nGdl@2CwYd2L1?#x&Syi@CoUOV7Zk;ixshit8l
zvuk4Mhr^gS*`=i+05|~jG98S>G_l57HLWeXgMfEVXWJOmyV9K=-jxYChRj0Rc48uc
z9r_(?;u%s7EG+!gdNw-h(Qo+bhZSKy{Qz1h5fz$AkE$^(nR{zm_sn}5>4e8h4@5($
z&_bHoGk$%TefH?5i3@072vAB&b6W4wJqY}ZKME&GutOXkISnPg!dd-2Ole}-;$6Xw
zn35P}=^)akiAccs$T>=&v0?3SM&qof-lQX_$xoi=)Vk9sUp*6755TOF85p|`3Bu-0
z!?{bCEqcmDV@<rNPh)S4DDb}-rB!629QA44jP}1Et3uWLZ6X%y+pwh|xr*tJBU+IG
zgZRhF_|g6@FzM7&(}fsi!4BMG4}{416A(>JLs)@;!BTd2@$>@&X4C!%CD{f38{>If
zed^><qB0-QI>zCO;L-;7?f`+>j?RS{{l1GY5-Q@XyDodV6UV7GC<?IEYxZJpEq8$(
zHCGm7Zk8>)-hjK+s!MR{w5$6^@McMW8wxxl9fHzT4e6hZ*?x}iWsWv>olq4<_5BE1
z^k4XXlo`YPcFS@o#oaNPCywa<b>05gef*LpJtXJK`d&fS!FVxu|IFi?-7`w3AT0<t
z^fl~<F0d!%&Tdx6KTZ8s>(l98YoS&+0y&c&JZAw}5^>$S+r#)2{K^=Tv~p}w^M;tV
zNdKg#jqM-sO+LLXSUnGVx>pc1{Uk#LPfIk2Cz1A5%au%hU$>M-+&U?&6zoSUa0a&J
ze}FvuZDn2L?>_N{5vIY3evj^Yy5NaxA+PIkU2^x=sh)<~im&&SV+&m{d&sn3CC_y2
zN1AdZi!aEJfB0uiEinL%4x^*W_;H&D%ITvDe9)q`DC?k4lM7@RteYZ2`2Zxj`CXSH
z`z?{(d*;M48$n5rR=5FVsG`hP9`4i<3yDK^xA#60lF)ylHBqcw<C{e75vo|nyZ&}p
z=>t^^*35EfZK8x-`ptg`-v2AQ$tem7t<?a`JJXeMQ}FxY%O*n-#tiD0%u{P}jx=g6
zx7|K&^v0B@dv7IIZ;v?AV|SRNpPu}sD=y2BiRSnta{3zIymr)VveHlz-nl#efF^A1
zTFn^g^{98et(S0~3p2nEmEBtbHg_=Yta1|9Ya*R+t;d)9jmkWY8)C<x$Z4!T#!KLS
zIL$+pM<>rmkA&-45i<EBz~9<|wEWI`Q&<kmI$G^!*55AoAeBdVZ9M**%}L$F1C2sB
z=%CdJkD*}v*C(4ZhtG5t8Ewq$<#9Ir#}^49^cDxooNZ*|mfGS&jdj(ydNyROar2!g
zU;JAejo)p>#%833+JbX<Q9Vz6;g|bmt#wgHc=&}3P`PLIZG6;zl3BE*aQx<-t6fa;
zZzPjycbQ6q>Amb?q)H4zKz7<4b<Hs}j~jv<*`O8a*3XTi)r$0&rLh#jjsvp}$ow$P
z)06L!<*i8liM^@f5UvkZ=Dnj?G9e23uD-s_Ml2Gt{r7CFtw$Sz1j|gg*|M8iLxqDR
zDznawCW608kO=qQvy1i3+KtqBTb?rgB7M~B%k+dqAt?W=g>wG)@=H39ZkgQN-NGLh
zT#L)b@lB0^)|}5vU$BziMEy3Escdb1=AY=+JaH4n{SA8yENBu{!>j#VuFN4rp?EAy
z(8!0@g})~^crS$&nOj4gAn;zT(lJoh5w?}exjJ8SI{L}bC_Kg)bPpY+e1@?Qu3tQC
zKFBbrbjiKAX_F5>Dc2})@*MYFDY4Aa#BHHo>HioU)5N>><wENI&JN`jsSrzj%M2z&
z9F|pCN^u;aQ)&xV@@Jtj#|ENutJ~=dS<1>y*LG_re;RGM&3X^!Y9aRh%0T^dko?Jv
zI0TYg`>q0v3Vk_hD}Hd;h`<)-(CF)A@?axuq@F@^I7zCDDk9?19>tQKvDtj}<%Si!
z_FZc)0gxO$xe(%u>4GjUd`2W}w4i(pZwZ*>)T*CIJCpIHnh(8Dw)Mcg84TN15B1-T
z+p<wM!F|YD#=|}Ox@a6B0#r?fB(^1kV-wrFrTVB7-b}y<y-P16RC(dq6`wG21(Je_
z!tRi={^kUP*TEw9hCFB|CaJwfCBS`&MA1+cE0``F>D$03$hP+VY#b=5>!^ZVCij0>
z8Katf&!jop{(g<KT9Tv{azNL}J%J|HA``#DQ8g~2`?gU$E1if-F~D{QysVG0Jj4?w
z838X`_l3NvXOKv#;!}C?6h}xgNxQk$v?GOoq4{K62D>ggB9BI%MULeMUU1>o{#R4A
zce<)0Iea#3AfSN<Qaj0#iF4Jac~lX6KoJLj_Hp7>6x3bm^62@e1ms%)ovp|EF^E9=
zih!NX^cTHT$5|X0Y)e>_?yn^v<@Jp~fuhw%-AAle73J#@7tN__-Q{UH86Ofq1-U;%
z+4_4;w}ECCj$Q_+l2s2z0uPES-lM5p#!+mcts;}#Qh!!%02*<@bc>&+^zLN>4%})-
z@bZAmu~dtIGI-aYf-45+jU;LJJ0U!u3&=a^S*eLlLUTkN{Fk`bm9GsE=O@lg`5SS~
znA?B7ab5D+v+E>djd#N|g~IyDa!wM~Eg8;#{(kL-z!U>sQX~xBjO@!Ik=iL^Wa^83
z*b;IXBhZt3K8ZKHASnA{u}5IMr&UEgv`yZF;=DLLR@3}_sE7j6F}^c_Gx#W6Nh^HI
zf=wionItPBv3%==Nb0TbIbEgpwmT*BLv6DZj7f@<ZU6;w*(GYfYKL>yepV`B#m4eW
z$^=6=?jmof4LY`a(Yjddh8eHTo}USzdp7eeCZ;XtBsX^18pQEEUg+mBCn_E+7EsL)
z3FPiVa&s;9mphgtPD;iD?;N-I3sX7*>5eQh`m%Gf=6<(9h)dYfK8>G$@LAto5l-6j
zsS_)EkgrSL`NYER8Y+|DY8d>r$&m5?N*4d=V=j?xmF-jEBGOZz`REdmyz-7SpE8;F
zbC%8AuL<h97u+mHFGd7j6I~~N^o(fvB;!1-b%3YY4UI{C$??>6?;}_3Q(S(lztLd_
zDNlon#}w_u)H2qR@%)?trmq^&R{lb4FWxscsry_`+xLjlOfx;EsGOo<gc$jwo*JK`
zN9t13>m5B<`aE=9IbL#qv`E8ihi08h5^oyH`#*jh@?add`(Y^N!b`9a*%_(UeKfCr
z5dM(9{<J3&P<s?7r;;aGhNv)FUA$QOQG-RS3!}#_#OFO*$@xBNHwSt2!QyS^13WO(
z+vb>zz?bfL2`Y<)aG8vd-~~rKEERk_0DNBh+*SI9>9m1IOisLV`4*NTPi|bx_E&5m
zR)$R6ZMSa00qv#{b(Pxs?=k=QDy=H#T7^#Fj$IJ*=ri@G*iS_I4?_6pgTK1Bi(fjo
zzl-4{diL@o$+sh~vz$1!%Ma=q;1epPj_XWf;gplPNe0JlxexSeaocEJ!<f|bQ5hJ!
zeffC9yeF-23~#7qpI_c7^hGAfeV6inhXCD|qe=$#S6ugYe#yz@*lYO=#@=ZP*WX6g
z+RMQgggRr0OG~gVc0QIjIS-;D0d}UkZU#fi*qqyKb2(>}Xj*MlR{t-p2n#OG9?COu
z==?pFEg0%T6YT<|LYLLg^O}7a)NPzdyQdZ)R(~XRc#-;O=)(M9-;Z5^?tb_w|6sNC
z<ilHlO9mi%{=)6@YzPf#ETtYrG5Dm<16D7nq_|z1J&S&ga_Rm*+LHf$Lmz!7vgJqt
zIqE+A=5mMhgnIB3Y4d=&Qe&<El0Yvhi<ag0lCP-^&nJi}h^0UNq7YgAN;Pc#LZG)n
zDFb}OFn-M!Mve)FHqk?Cv^FF)giWW45r8&qx!)Ov%G|TGaQa;>V4k6Thl8j#+95O7
zWWPA<6XwD{)*eF*w*mfsf6FBPQe{`O_u%+!E7fth3;D%scsA9@WCu;PFjF>g`@8u3
z%&8Ns?Q-hrIWzl<?nNsT<({M8L5ht$aGHqJs9&wqMXRy%G3tf1A$Q>D<9wtMDER$C
zzi^4teEG9cGn~nCl7QN_+;rR91A0#EWOMHICR;KSad;I$@Hi!e!CR!(EKbItWaI>b
zoH}2K=6#%B5Aa4%H_laC!QvCyu9~ZM6n^Aoi!L1ZQdhax(;JCFI!njV-we56+&-y)
zIs?a;nt{C#>ewPRm9ff`974l*Bjnd?r5R9SGhQ>`Cv#XP*qvn9>}#b@ZG^fT4TX`7
z3q3}?0z8xMxmnhF*pwOivA`CZd<i&nd~ME!U^%GA6+BZ7tTRhx$V6%Aj*-me82?Gq
zfBuz4Z)_D_T#G=a|9W@H{C1J;U2ef+E;FE<<Gj|pm)et5!fwsp$;Y5CAJ7~d69FN7
zA;+mZ>gNxs&~HaC;Vzu;u!j(b5`-`dKaS@BeVpol&`7QGF~GErCTuEn%Z_Wlfv`bW
zY#<hp{)n~gq;64iU|v{gIwB8^vWnEfRa=i`m-}xH0PD7;4XV-R>oXO;o(4@Gve8b8
zaAo%NiNvRG<EY_7C-}<fbhqLPpsfe$^A+RV?adF{V|liN+`g)(4*Tl}I^K+CLARk8
ztyVooBPP!fph5k&iO}Dqdu`-2gsUn|`F&|i>hUe=3~*#~>r9#_aa+fvO3L;V6{f+;
zOO4)y{Z@SFL8j-jcXNqhBcjvtXBfkY+qAHAE5cg~ol$_)3Pd)lPylwF;9A$>3p3rg
z4m(rCSOH8BHj)G5ce>7=gKhdQOl-BeZ^|dzENxP%3q@^#ECwm2{&7-bXv&%TQ0lU+
zcXUG2QOGI7^YxK=VYhLzT_eHPvEdSd5)$wMgbun6JG)?+(M$F>V>)+Cha2m55d=#Q
zGR|HHCHtsjFvqT49-R|tU>9TdSm-uE$oGSCqKHun6Tx2Gb-69C*$$E%?=C#$uF-D|
zJo}bffJEU54!i+nph)1=g8!5BHjyoFN}TqQ`KrMU#T@ewEoq~j)bsw0vVJC^>CvB_
z{0(~YSprNoe_wRt`)$o*Z7-a*-nzfctNGZ5xBFY*G%O7b&tN*b%hmD0>S%8cT>=qe
z&80Lt03w<{7)vc{m?Kl0-mzheQzy;a<@lxHnbM$k&pJ?(NqanevE)N_T1p?SrjxB9
zj?l7<3yRkrU2Z*apC=JDS5VsJ1fs%(^j24!G>6+f-cM8`b5Y~RzG&N75ygA;3kE?(
zF>76K0&;7agwn7X(J;7jrnc#}?6+~x12AKK6C%Uf$_<k+S1%PmEBqqQZn6!9(lrS&
ze}WP}YB;g_TNCc<83Hd0gfMnapPy$Z`&<wO>HEw+^7jcjhc4sC#aNs}pL#Aj^Qxzd
zoz0Esh06R#oag_fd?k`eV*xhOnWlJq<#mp&KgYi-%5b2zX6xRBv+xc5kwDhi(by;C
zpMHI0azga6fep3agocl{-!4@ZCD$0WV#9T>)t&-ku=o}@fb<-5m;ut3)+!S>$}RNj
zzsIFDRh-6@H!*$6U$BQqu&jF?j-mTM{<<+vT?DA9qlNdk?Z+i5+Xp%8*(=xM<XJfO
z;^t>E;_1PnXbllsD3Y_T{D=k}R>rIO9$3TBhzYB)6-C?rs@)^8JOF`DIootpQ2l-m
z1sVcuk!~&crP&!cC3=1#>SQD`D-Z@2-9FidC$RI@#d@zcTR68e+6WsxOvk(IV4da3
zVEAQeQ#P%c;+lu!ge5@r45l|-IcE)zOs;w#Rem6|MeUbL6O^Add(czY)heW{|K{VM
zB-xd+K6VpblyCg|cBcHQ?0JeFBv1u0IdnPaw96*n{9e%eK5(0pdd*WP%x=))g4Z;~
zyIN(seyzbA)|_PosSN+b#v%RUJhbuKem~&qmg0Fq$VIl-wciu#kI^PYtcua2QQ>D8
z;W8RH2wmvUo%Ob+vutUyE&c>4n7`zcx4EWcl%9dPg|_9aEf;jh47b&#%|j}{zBWE~
zuo``hT;2J?>_dTkZcj@9J-8m3`$?&jcA@y;Py!uvHhOv4C<?X!(Mi)&y%C#-E!!Y(
zU;4xAw;EnAg)&EuO$r$r%vU@qYo_eg|I?`Rd}wzS4b!baJ93MNGZxI<X7KCPpDRQN
zGe#0Bng4Uq{=>%~oY%*ye095gGOS3~P2?nuSs<*jHytydT0x4}5He~bXlX@4aIdrc
z5SJTD7eD`s7y)mP#eUpV<a#hZVgBVk9e$k_d@%wZPWL?YhCXB*s|Zs-OU*gB=#PbO
zs(@HS6S)CCQ<^Mt&MAr!HKZ;n|BRIByrJY2FG-|L<Ojj#CYN{E-XAyxu@r1BvCP)D
z=`j{=*U47vu>j_C9P+87wL4eiN>WzWV*C$MWKXhVt9>XdN3!(I=08%7Dp<(#)k{Rc
z=7rEofU5GLfx;(Eb&j<z`(gXjTGOEgHT90Sz8C=l_P;zlup|5wI@M9OR;7}~lk1tj
z1Qs=##_04cFDFp2fKT}H`QQJic+FB<Ut*X?w`()x3Fu8gwil%vi@Nv$48VO3HhR(b
z@IN8A|JQ+!KKz^#zO^V;2fRPS4G#R)5sTsQ++rFh0vd|bPPeCjZ1<FW?jcBtc=pfd
zYceZTnHRs;HS^TcVN;(ppcES-YER<7dD(7)#dd!O0ihpfB?$(tUx>Gv$fgxnMLuAX
zn*_u+t8-9+3$-fiYPWOOV+2&cGaCxp1)s`~1U~o<8k+>A7@*!qz(EH;I+YGU06+OO
zcPj(<7BjjX7$W}8Mtw3cgT9Ah!85OvF8R1#IX3>}tTz5kug;V+FD@sW=i!|$3y0ZC
z|5~OHoH-ngX6b8MH?Rew8E@v2HSHVuqDQA<KODao#lH-&5}#GSOKN_Q%cn%yd|!b9
zi9NNFa(!dSA=hk@0iDGeANlAW$}n7xPC4U=ulhDNF}-sgOXH_bT;HT6qNyyCy?MJY
z%R*r7CW(|Jb6bHXZye8GIPQ|*|7L%9I-%~#L_dW~Qet0_bLHMs-njd;CxMvnj9Y4v
z4nGluRZmA1GEbKS@$GgaP2X%hYa|=>XL7-1;i$AGQPm0HLtyfjdRaCo&e@AGezW;F
zMQ7x4i>kO`md)f|46~j8-bWxp30_?2G4q=J;F3C^cqdqEOy@N7Y3@4Yl<?|pnq#sv
zT=c$pDa*R0Jj<3k?=!HkuKL;fB3sm~7}H$Ii&Z_?CvNfI{W=iiJ7?T0D7;xrIh5=V
z(~t=J3Kj?u{-S|)a1ll8%rp?w+Kg028E`RBw;K-Rk6=!hq5(*~JZZ2O&W`-m_s0B8
zoc8f!&R6u$uU`>K+X<A8+_avvxNu{8bnv-kIt2b=$CV2>bHX1IKg03*JhqRS@KtxM
zuV<nLt)8X`*o?y_-IE-Nam-I^E!~`+lu4Ij)OC@WK8V6JKP99G1$AU-^VA2uAiZgz
zrn};7nFBeKeU$`vcArNAa2qfC$zr`;WBOaPhgbmnB$hGwG&8KZ#A2jsvMphEy6xf4
zvgI75?X3OhyizT5U{NFUEM!dK#(ePIq9!wclftvklX5%Ea@%tIFHNy(0xYbZX*Go|
zZys{@!Hd&@L;WM?ZIa@Yj1UyfD1ySlX5v8GS*c~QfqoNdxBoGQ9cJV?Cn#(+oTjYY
z{PxM!!<9CC%lxMJ4)ybu-%n##bVrO5(SpYc8X|@92gPAGb0Y4Di4bD7T~69F6@8iy
zz`hr@b-l&&0w*gO>>b(bZoXc70$7@Z5=f9PGls51j&dI-O98bR2HR7`AAY@E3ud&T
zeCfDNse#Ww_OSTDy;J7a_9>x!7|@MedX(-@n!3h?fIdd|FTXVvZvX8ebcY1xQ`VY+
z-y#j;c?zY|T*FVb750cRKq>Db6TYwY3ksdKP&xN?H09C`&8lBCr_Yyo{RV)59s|`2
zEH_WFY^x@yDUcbJ<UQdX@>lCK)-xEv`pGur2<>=Xj`~frWp`d<zvE3ab@T?5-uA}m
zp3iCZwz}W%pfyf-K;wM`=~XXRhIBns^kM1?c1F_uCRWFAI08g^rX~r2Cq1ZIVhS*v
zc6oC{YR#Nfs^caBsE{QZ7TYfY*jIK@lMb?r^u+FXs&rC)mFSkeGuef=ULW_MLE_I~
zxPx@U(&nVx(ozcM`}<+R{<pxJyLRMh-lUdHNn-*_CWG;Ady3kAEO@~_DOiyiq<VDm
zr|Mx%;{|z8rsJ>tB7mBG^Y;TM%R5%Jyf=s1(0)aJ9h30zkA3>@hCa3#ZRj(3MBF=j
zzWCC;YEFo1+R&Q+0zcf7S(#aIf0HVAT(&b_QIZdqrP5Z|9=c^7acQGR@3nie)Ebi(
zdrYTe!9FG1WEJ7&<XG-lVw>OCrzyk^f^va(bAH0c+Wd#L#q&Mon*_b*d+)DDQJMQ`
z;?IEUjmKv*#=>ZiFEyVWI~=O8U-e%pgmQ9Q{Vq@(edt01Z0|=^xWAZ;D=NDNl3Q?o
zkGi+3p$gh-ToCshNO$TWS(5T><NNo~`w!{-e=5(<U!@P^T*uw??&xyT-Ultw)-!**
zYbYDA6zEkYks+`$Auh0zvPwhvMP`Y#KDi_3tVUj`uce2EHJ>Uh29gn7(_fRyi6}SS
zjLR&-MAvN4aaw`TinJTm(|q>km;}ULRBE!0zVwmT)=2(G8C@(Mm<)^K+quo(`6zI-
z_m<82$@2RSR10y(X(oebXA*tC-kz9ZV-%erTszmgWw0%{m7dp41I<cZ?Iy^xbdDs=
zx)E#XBwH%zaQX-8Vc+O?_<hM!t*4xx!wT?+_c0XN*Xv!Hai$yK#wFviP}tIbs0lHk
zuxWO~u!H#tE8%*Y=&Y9dqr(b@;fjR)CgFw3-}jGbc|*rzJ!EmWaj#2gx{sz@M8~-G
z^W8C({;GAIBT)MDNsj@BSJ5GahN+PZ<~@_%cah6iePk8EUp(dCX{$<h4r+hbCD-9d
zKuVAAL5OdAB$L`TzWJXc{*M779ZfPRCy*b$<3PW3Gi~SDfu<BO6PF@nR-61s%($GV
z5dxy69p^+SQoqFh`b*F06<V-6Y4CpNOwpbx;>f7LwIUI9&BZ}Ju=W_R%-x7=s=(*p
zW*AKO*(>x6Un$TO)Chn}p;K45-L&TUDPk{V=|3+_5&SRs`ZRCbA8H)f(w_vquFD}A
zpU*?X^RtwqTdf@2YlVtDrW7j5Jt8WJG|<MBEXYy@{qDWK=(9ehtz}7fgt}nkxY>?z
z^DuYK-H|9DZKX~tUf7q`!#a&b(e3Cq_G9UOa`r^^=qo1S)1{*{0~=rs=7Tsxl}0M3
zaKMmfqT!D({)%-{J2O7D<<ks>mDrLZS=Z)+X4Gz{yntwGKX74EZ71vVHz;e+@it*F
zm-plnXCH%HZXDUNnCrz1!JO73@xH4;G!7hjOlHGQU~e39$q~9JFNKI9tqmviLRUfo
zJ}Z$Fu>L^Gw`B905RAS_h$r=8?Ku&{Ey^b(V{$i{Ij*k|zUUU)wWWs#Cz*JR{Ge+A
zufh|B!OqY&E|xyXr^{&a^ML2Fsw`WnPBt;?F>d?`52gbtce`;3y2i=Pr{l`op??bc
zgwq=ZB2(OeCZ~rzAFAgQ(+cfFty7fiiUWeRv6+dLCFC9nF85Lo0@7*-rE%Gx?Qcew
z#uW1&rONA;vLE&UwRG_223A@dN7$VY=^k^}O23OEj24UxOoU6kWRwRsJMRN7+(7CY
ze!{Y3TL<Bi%5lPp)=jU@CtDd74}IskO?Ycv8nYNAtjp>^w>U5{qBA@PQc1Hk`<B3f
z2sHs*gufygvNn#Oh8B68<6yFhYLYX0*fY8+)8_jt#4=-f?!u^N{J8j^@%y#BudSwR
z4XO~nBQX<O_w65RBo6(ImhxNfV@r3dm?l<jyj9Dm>Q)Ia9}3ISqa5YPYB_rItto(w
zg=K|Q7E%TeSHH+w%<n3@8E{p2JAtC0)_Qp3+WbwUN1mqF?}bdcfX|N2`C4m6bmpc=
z$0Ns?elrp>uFQ%V1A3Mp4X=*&<9rn%sxj>aUi0|nvRiuwXon~+NLGNSKUk?YV!@91
z#&7xkmor<QgN<1)-6mY!LtY;3nZHxpv0#sVH27_{-{sD9Y_%ivgY6UsvAysi{;fsw
zZ(2U-d^Qt7A#jlc`Oit!h21h?{YjHfe7eJJXX9xNoZ#MJO)$UNVnLk}nxdZ!1};Am
zI%pW$6}wRDVOV~NbcxY06>9<3M78mr0w?bCZ`EN=ng_x<0$UHu#G_zqAfscl^^w^b
zG*kYvYA%zHdVBJSJ;3s$xT$(Z8)tl56?Zr-?&#4p{P<^j1T0d2Klm6#LWNdLIs4sj
zOHxk*8%*yR_CLR7kYG{mb-ebIp#S*0ywte4`|S^|(mei@<wu!^JY_0CDX{z#XW7HQ
zLlf_5(SR!?iGN=(ZSohKdj;9)1z~p{yHOZX@3dYpE!n<>oSix8qTTloc;@o+<+Oar
zH*U8P{{_t6QC<*~UoI=}-w<Y7!-P_;Dm8TD<n5d2%hS?T7{n?8+YRev{%e(NZHyg_
z5h0}RA%~dUavIWmFwOS~;#wIwChSjbXQy&mklJ5aa>Gy^=fQ`Vsc^r|B3__`U#5Bl
z9bs2ikanToI24-=0TQNPW&5CJkE)~vyWf9u*^c;56qX)V><ue)sj7(|H#Z)eEm_Hk
z(?j`9ssyNF8a=<B0mbwm2|FCJx&n-K9_T2-?k}05fzj4a5Cv82!U0w==Lx3@#}jpj
z=Bb#nC~I2>Fsz1tr1ZB(V^vRP<GyE)!?MK8&_CRapCs^V2L>|z1L>)%Po&Pjsza-}
z=#q=Y>A{%edI{|5L|MZmNnPx*f$v!K(jD}1xi`sq`^ot#*~qwB3&q*jXIE{(nXU`c
z42h<H;aP2#^D&t91nq5#TYBpZgk5HCWGCD)n&O3V6cS*df0+Le$hqeX1j6;8XIlLW
z_dCPulbv|4qvrxf1#CzNuR#iW$C*JCG)Ct*$nHs}WhjJ+ipi%T?JRQ=Z@%drTOUIk
zDbSPh!Z%Z})-cQ6m-F33fFfP-F#cD-g0QeqnTM?ML3rz@`BQMyc}n7OAP33)m?j{$
zH^4wWO~kpeZf?P>y4)X$==M~RWUPss6>jEGb49AoZ8m|}FF%iWOdHTccW0!GbRJO8
z@9%2Q)-bf9kZ9p8((sZf2Cy#D-b(c0VWG#n%jtL4gZ@r?QD`LtWnbI+VwcP&Cn%xY
zdBSO@fzvnUo4u{Ct@U^gl5w$xXyk_RZC$7vU8q~kDWsF&k$vh?$Z#NLJmK6>F!q*F
zFE&_lH5H<fV(M)QO+3Q8Ah$D+M~$}$nu6-%M~qpwuRL%|AXk|A$yqq1I5%BacgAlu
zNL+lH9<LGS&~7B0Ge&PW9&a~m%5>d29hQ<R>T0Qqo>$yf2qrY4e4hb$)JW&~tQpzE
zXQ7#)k|8-nA>$VK39&4%6pi`pje?85#^P6{-GT!PfR#@-T+bIz7FuNm1j|)!a5(js
zJD|t1x@H*K6ou~5*)W(*8TAj=U<ynJ;o;<kdV2FBCiP~t`NOD$ni-q&{<&Qq`{lr!
zR8V9!9%R&HsvYhSwGCJ1KHFMuGrE_Ovpc$JHCd6j36w&7N<K;v!fC4(ZdSsV0f$YO
zQNBmKJO*Q?>7xPP{C%yw&>RmZm;ogg-Y2*3FI)Zo>?`R&B8c(!8Ox^dgr06lf~L!t
zs`=6P^=!48#Y#+i=gI6_7o-eo?GRuaHTyRw0j(crU^vrNEGMLtLda$I-awsw!*iR9
zZ+V-ypYWMww%%XNCdAB_)HE;-#oMbE_48rzk^@M|v^5Ps_tb`~c64F8Jl8_@kTA>h
zzg+o3woI4+YSY`tT)DSR`=m%FHd4lwUt8-Q`E4PkqsgmD;%RN%hY&KB4nYo@n+vi6
z!e$^@R|?8N@<%m91TDHnD&CfrK!#iI-*F(06<WmE_qCt%O<fD3T-ASCxVfh;^7~@}
zMH%BjnH1j!JwHh2kWF~0CX(1UV<0}9i6dixy9Io@x2f(}7l0yVcIirpEGsqHr`6Bn
z0XfXAo-OL2+q6NIhLb^y*>YVJx>A37!~@Pw1F?ophnB49BKDPMLC6ZyR}Ei0({O0@
z7T<lc2nImFheb8+&W>E?DVgY_dSp;gPgy#w4t$(2Q%^ay_;Po;zvJsMDP4UsE+nte
z0BcUD(H7b4rl-a|786f@{t3USjv3&0#IEaC@~*wYI+ZTC4r^I@RJ)rhNaKz~d=TgN
zQ|mgnbJPXr{CN+Ri8)hy7<}BJK_hMM@Q&&Fb9|4oa(!&TJ<te^jzb&jTaae`V{AyD
zfg>W$2$?d=PG@6w;n{YwR7Y6U^f$GxKed&a$aK;Y!OI9Xb383P%8RMx>RU}=PnPA<
z1$R))G0aN{c&<k~rh$J`$itaRbc30$9ED31-yqq|oD22=1_lc$kNGVHEJ(vh3|Q)O
z9qT0y18wv;Hrzd#q48ypcRPG|W~Mo^MLkjmOj&Myeyt?^Rq7speFn<K0JPvGx3Z+@
zGGt0J{5zov2xKGy(HUJZ02fmtJKNP1NN2tumc?=m!{ejD+1P$ga76;KuW|p@d3jRB
z5CA_Pn|wlz@t^)lYAgvagcvV4p!RB0cMctxgN0gKPpH>3mu-qkpaJI*+ztdDq*if6
z&u-@B%*(xLx>ZfDKebSGFzR6Det`Gfnv70uJ+%6}0c>2$TEAkm_dRr>#iCj~??LLe
zDgkVfTM~Q!GuVP_XvWZYXo65}jYs&5fEP&AmyeJU7q?kR2E2UCpoN8e=ba43Cu{Jz
z>Us!DPxzWuWW~hYt7VwGve%m?(%5Ae-@f9=Q&7VeWrU~pGATw6xKSs1)Joj``z_3W
z)*0|#^^-HdrC9FY&SZ{FH@;xtdxYXlI47dZ)#aucUlSX~J<b$!4I)nHb|Gb~$Rg>L
zc;Z4JAW9~tFU*M=NR?lrj^;V>e)09%Wq{2Cnma*j=TJNr+}j`&Q%3+#{$s=R|JU{Y
z%D+Ol`nlaaRpN{+nHa;!ZkvP~8nqdGgwW@b51k#9{-!0m6ud^!vk@)2H4C)FDEwjA
z^ix*U&ok~NJyXW0bHs9<ec)IL9e;xrDSeJ<tR4xtVWJMr(7(~<`U;=oNHDn1`2N`v
z)^38EcE;UKP2Ofb{Ru&8i+CP)(eNf7Gpf-4sZP3fr9N-Ribz(VUa4u)gi(rFjD&!o
z%jZ2m+?zA?VdVze*{4Tamt`)2nr?i)r@G<@MlU37ZCPTs%%-=0ODQ0H_QB?9mdrI&
zWr>F;u}*f)ImXt13EA&g7axVXO8-zN>20C&`RiDm0RN_kfXDmdm2QK?@TIMHmhlPm
z00JZo=@Vf?vg<{>zEV^AYlZdux2@P9FFbqQb7Q8D$JeRq_f`6=7X0XkK<OjfA8wxy
znx2xsP+$2g8_dR%A4d<fT?g0rd*(?MX&G+#CGkQonuiZE33!3B>}>T1)ccq_pXaIG
zwJ(;|FC!yr(kPNW&T*;(GY+_X`(P`AKq?~p9IP+IJ+XA+dAXZk9((M-?k;-Ot8m8l
zBfD|@=0!x3tS3Z~h-EIwch@L|1`<<IGoa>r2KCqb^y{s>^jE%nA@m-zZ+06<KJTr9
z-z==AoY~mc%MMO3KJ_!2#-|hbahy4LDj~5QH?N<}&ra-qN6x@5`~;6+FONEFbxr^^
z5W`MifZ;lngeeQCegKA>F&IE?r;18*{qJ9OBIQpqm<fQww?A~*R#mI&{o!d1e#NsC
z`tHqRS=X~x$C~?}Ba?p-c8O*@H%Nni_w?$GJ8}JrIbG3ID$i0A#jhg}ic9Zw%Cpi%
zxTy}iaeZu=CE}*431Uyk3rMde1I@sHfB-KUTJ<eZQvGU?w@m;NyN}r8$M4&Nr%OI`
zO%>}NJvaN?)?Vp!C!;@oThLM1-;Ht(U|b%56^_tnZ5G#D_OR+d{QY2$F{KzL`O|{<
zF41*}kq2Rk=ZPAZE|Zq>I17McS8D}4epxu8G*L4YdwS=9!F}U>S1oAfklWrx`bQp-
z?92KoIU4`YRtS0*Gh<a%d=CBRm}xe4dobVg9Mh*3-}R7F2d=GIA#m$zF9LxI+N<U|
zAQn(G%I&o+rw~i56D#*eVI%uZTuy|+llm?<MHvAaP1d{Dh~p{Ao!?DR$Uk9hw#n^C
znT4Hp<G+<!)9@TsGl}=H@lJ)v?Iz5^9HIW<ylt2@__#Agh;%K{M)EA0AWd76+T7PH
zI0)M*I+@ON7`B8#O`(S;&}AeZm5Fb>AZYf{YjG>@T`k!DA!>TQBI`QWb)h8^8}=cG
zf@;)#ma#j3fya$idaMrdZL29qjg{!x4<c$F!-n-dGhxBc(Xz}GWhcyu)FhvL_Q0>s
zD4`oz!x}Rq!!lYlzvVF3FnXeeH*{8Uk@YrF5%Z4|tEDD)wg5MzJX4m>*%5G84xv(b
zArRFg-fcOKUOlNNFmWFM!PqnAqMu6KSG~wIL|Ov*Orli%2|Q);q(|dl4ZO}RnmA$8
z(?y&AhOV39%H@7JUf&ZZOIy&3cO$<Obm_s(_BIw-d<q_t34Q=Z#APn#iEq1$zI(;^
zF8I@6YR5@wDGZnIf8H0i@XECgKMa1X5fU(iKrIm5a>5D1jfi85(U_}}XbLi<4GdEK
zGHTbeJ=1g?JoBHuRP5r}-CnKX$!^>`A`xVKnMC}}x?nYee+wtqz4+Sir_Izwrp8zl
zirpUYEr9B?p^mg}8JT1)9?x?DCbi&7y_e_PqvtCxy){rFe%Q3HPQ|A7Lj2ra3h9Px
ztU7!=PksW;Kw1qZz4ybRw$%xSi?&xCWHDVIA(WhyY|s1hGlP_gSd4#Dc8PPXKsIhV
zEA9Jvq=dhu`bxMf&wiLzx5BUvY)``c!n72>I?x^#;wydhXEN#cg4}8?khbgit-<8#
zfUdBIzTrmqiQN=`G!%)f6C7Dm!$G3>4z%uFHdkP$zaW0!28_s2?8?s!xFlWU{C)S|
z{C<UB{|AI<<D^76Csej%jk*<ksBGLa&d5!jeBrbh9K3zvJ#D=FxJc%s69r)pfK5uk
zZRg#wT<bZ2LpJQDgknRQdT}Lw!5d-}MzEJ0rIB0Id}QePeGK{aQ&=0}fpT3_Wb@}@
zwo~4QcT3`fK9jtUvr=1AY=Dfw8jjb){x0nX5pVmvns{;JYOjJ3W$(AGK(FT?HimhY
z*-R4)(hPRaH?w_834yioH?Y35{CJZDBJ6ruDxNW=?qSuNe0BFyYnFb8cppb`LY5MW
zb&$OH;mzpYq;7M0MZ1?&-%&5&pV3E9i+m#wrLTKpFeP=iSNpINa0d}8rzBK!!isCR
zUJ}^kYnHOzt@kSL&y&QL3iD&9IT6L;KBqft{^v`cq8*LxnCE;RS2*u~t_wc<m@R5>
zfh0X|lBVymA8RttYBv9D(6oB<pIx^51_mez&^-q-RRZWjLC&ahBD$ScEi#u}q=aW4
z6(f#$WfMxC{~I>di@#~$y7ffYu*K_`g4plYlmL&oUh<8jri)l*o!P~mpD3CwlMqlO
zd?bmF*?$<Zi-vw_9pA2mAPw~O!=RT_<z-ZP@U0gWS4_-5?p(LGw-3)v;r6rg@MJgI
zNc7?`KMr57QYdp5lw{xyRDLpM_)z!@2l*#ywXZK1{QrDmQ0Wp`QzufE!^sbX&=+Yy
zH|Hx`RD7M$#?RpP!Bwr50Qdg*wS)R49O&^3>-hbiXUxyeTW#6{Z|Xh?@bXZD3@g)=
zV=<hy%ooZT`69-R{tt%}+VDfc_|zZ9$ka{E;rc#CKe}6U@um$|!-(IJUJtb{lRag%
zhZyOR?fM+p@fiX>f3q&5_6!kv_ELnT1+|sBZP$EIXLONNhK+s~F6$XXUhpOJ#G8KH
zcN^b7m+5=CxYj>aY!%)cvQ&AiuO`vAbqS1}Av31q%kCQLxqnh}w3Rv3CpI?%7nzx3
z`*4<AQi<*E?p`C9I(gPRIXro;8D?^&GV_ykDRF@{4|Bl2<$H0>x`+y%4d#^MDf(=B
z;=5AUIk-}V9haF^RaGBXzW>Af<~c=ImyNRs&jjC-uWl@v@g*_%ee01k&#j2$E(6Eb
zgU63yZtR_W(j>iDdZtV%=pVu+k-}EtUBNq!Nhk<13yHMvX&ijCew-K#vVvy4dtn@a
z+B}Iz{gbYCm-K1_Rf*3jM+MoOs4DTaG|KVTbgmbxPE&Tey+DL0_7#XPF0V`5StGW9
zPzqMW5JZuJhjE8dW&QC3oT}mL&Uy#IUJczg&a>N4)*0uNGWi0{t;@O`79hzK=9L9k
z>B4D(hNoU#fWDP`*>{lICFQt#h~T}D24k5N>igb_Z3G4!?({FKT|8P6IopqouG882
zKBC|Q%}q77sctuG)EmM8A1|a#BK<&z1wW$}w|-Np+xhP1LU6w0If|LX+b7E6>}rU&
zZ-1d9&k0k~u6pn)DezHU0QPc_Sm+c}oR8gJ$QV)0lrq}7I7#N~iSd~Q!j?0{2?C!;
z!z%MW<_<8KcZN=v5XsfD#IIkBKlY+h=&L3c>8fM~^ET;D-%t)k5R5pO;|2uA=BHEQ
zj1p|;XCgjFimU}a?0-8#kjZQr9bH^B{4R&THTR*of>5mnGs*-Lbe<+=M`s(}4!@mK
z$$zI;?~raxM?1ZbKa1Q)px$)uO+}&@W$qjt9Nc4~wzh^~FqdcgE$#U>#y>Y63IOed
z3sfVO^(JaFre<1#Z>f$Hr?+&M`uUc<R=!CWyEWgxNn7K@m#NE`pD?1_WmsvnmmK+V
zplqHDRyH>+=3;FWX^_ff7F%2sGazW2vK3lZ_-s7yEuYqRy{uVdJ1zyXh1#g7($~%J
z-RvLSiR?n2jT;<<oMwHmDL0Gp%6hM*IbRlD942$WZ(`V5LG58s*gun}nTYk+SGqRB
zY)JP}QGOO(kW90&UA<7O4{bFvhp~2*Hp<SH5-GlphvBiX#&Y1Pdk;`=Z}m`X8z)b?
z^VH=v<+d#fSXvUY1f=1@@0aKqKbUL?M-Jn@B~movFQW0ie^;^cmE&}KFJ_Xt1B8^W
zBknpL?-OcuD<Ezh;sM^lZ=Io0y5%T<{d~=0APu$M_hayJIMC3k{U#0k`N%jT(uH!&
z=1NaK`Hnc@^&EjRPHRb-=G*$dnJs&7_?2m{#l@Mud~>V5&UWs#_ct%oB;wV&W<)<H
zz-`gF$KQd_;9R`c)I5>AE>pkqf!Qkm38)J;_x<3XpZ_0Y{~6X)`hAbXV?jj}L{t<+
zY=}~o-h<La1XNTyktWhhXrV<^1gQ#2q((tNrGz4(1c*|lMr!Dhme2zPNJ85GFwXC}
zo)_QG4Day5kaO;`%i3$NO~<_(dmYJ44CY(ScVIPum1WpLYmC<Tpe8V565ihEd0HZG
zepN}~{B9p?DguDvVvLn0w8<4;5GQNMu>3-lShQx)^BNeTD}x?An&hC`8TUl2`@s%h
z#sEMTti%>y>xA+7&e>tORC(VSEAF~`Ki6c{v~F-%1@`L|Az9K=VPe=7$($JvCXL-a
zCaU(}w(Ya%d*>b=O&Huv#Gn)2{B?-F0<;z`5J|H<uu3Xmkkq7~Ap*{2F0@xX@<UCZ
zk$;6{5AtKxE3^*?F{r;cF=@t`R&FkCzNC7MFm^gn9*>z}#TG7i-P@ss+Q$(-Fff2~
z_+WH<Qpan~NVz);CJNOb(x%SLe><F&LAbBxJ>p)GQL%&?xn!r@qSMI7375HXaB8`S
zFJ6RlgJc-eJR?JqESYMv2P=O^(D*YEaYPy&XJRagDo3e{hB+!K&)g-<8t<LXoXyL2
z0tdC`<Tob>5_N2CGbdm(HZ+XrTGJ~&(GxQ!Q(gS<ns%$Ity(rP-EsD~4?=-t42i4*
z%ELSGW}2Y$N3<b5IZ{pLwnSx9BmU~=XTSJ%kK|OK4##85fb7Dn`D5gnYNg|4P^pqA
z!}@a|E0b#`$-$L8`c+<FMi)eV2H`ABU!jmMr<krX4nZWUFU{N#AWN?$%##_AB2(M9
zYhTC6u&p_#V>7Z?<5w$APRdPtTV7r~OZjlUE4z-IL6S(5@%zfJjU%zz&3ct9ctNnV
zSH)h`V%s6&rvwJ}T;%D}$1`p3OcbYUekklLM_o4oT(lJL!*{%)4%+ADZiI;))9-b7
zufzPbz@Y811d<eBGE24d=Fc}5Ol+U?D_0s1@4IAl{|#@6h}{81-l_l@NB?cKC>U9K
z{xDUP{DMY|@RSktEqdDl_o*wgN?j}1AhSt%%;41_C)QVlduT#BN6C-w$h|M1<m&$X
z1R6mRQ{~Y1_RA{_DW5K_6{nr@0|_@SD@~~y0WsLK-Pti0bYpK0I)e-Y1;$PM)<Hmx
z61$aS0QbO0n(Q;#!PWuUdhxX*N4iHrpAe|`LNR|OdOhA{)Ap{JX=HFty)VhXymJ@y
z^P^=;0FTLmjxa^VZylI|hv)4M=kDmKsSFwNavtjm6lIhkWVj)+4WIIr0kOf_%QMyj
zk(e}Mra^ri4NNAoE0rP96!vO@K_j~(vCLUh1s5iF*|uf~kjxMH0mm?ACV?IUS+d%O
z2o+}E{hSEqAc$oe4C#a^Y*u+!_TiJ8gJ)sDlt;?s0uoc_1WL8>1;{)*!5S3gc8R8v
zx!Bca84|Z5zb%$$U%oWG|GKr!UOk$f>q3b2X<@I(g9IQ-uZ~H7WE5dO(;~fxB9YCw
zGjNi=u9V*QYUJ?7Sa}|!ga<~Eh@|m#ehKVqvL%247p{)L?BP}`4s1BASRj1@2fNPb
z9^6HAQ2hP057S=7e9ogmT}U!!1y18vF$#H2db9HC7ub`buj<(R_s@Lze_8;AZm&GM
z19HN0{T3gKX|8YFYU`UPCHQPs0Nq8Ccs7f&M<ij-&R+KH>vj><P7!o&Q_RrnWZ*GW
z#Pa1#bM1gR@_wMJn@s3bb)Eh7@y(MDuG}&$S*35jf6o&=UnxMw4j&Hv9(IMFN(XWW
z@{P=4Dy9cYm@E%vp+<e$C*fVHNF{a^F--IZa%_6Kw{UlLs@9-;sn1N?R1pIy4ju|X
zgtjey76|!l6}-Yq($EIfCS8Ns?IQ<JZPxTiCJ+}K6E#YI60$YSHUff{z05+r`?7kU
zcbIAI0dx}1Vve3DYLFk|$X%?5nZ+hFiFgmrRCEdlBAi0Wor(deD!}d6YP64U@L=Rf
z^alRUGc}c-j&QvR|ME~bkhjM!4fy|X)VpS_&{{k2sr?EQ0+ruEnc_JU+uLbc^wv=z
zVZ@fz@4^!DpZ(b6T11;T${QAXWACH1Tj<kcM~)bE`kYxA!H+Y)U&%|q=jMDWd1Hx+
zudam&2nxm|i5jCepL-s_1<~>PNtccz0G13NI^~SR4#O`^(O<&@o6)f)F-_i`<gAm&
zPtvUYdpMTw`%VwPDZQuL7&uILs;q5wZM||T-g2OKwf(!QZEEQ^8B~L*lcQFU#eRCc
zegK(=WxM>=rnjn*!KbiiktR5-_DzXMRc;#bKreBwnv;?s??;`ujWq-1+N!1yXSRCf
zi6P7Bld&nXs;j-LkR%P+J>BdxkdA9(S3hH^f&hO0_KHb$Ng)LY$y?$CO&I`JB}9d1
z-_FeEA-iqV{}6~aZ6%>w>WhHqMsh5A#Wis_2Yy(R3jlHu>)(Mdydzyz2ruB#TzgE8
zpGrP(*d+PxSfY%#r3I*vZ}FvT-^<~3(M|OLsx13fX5qT|Ed;#BNls1Af9xg#!+SyR
zn3J#~diw^BN}(N=70oz&WtMq;&UleLVZmfzg2m9J>iBAWqwyt5l|%f+x$%TN$R+BS
zR~+G&?mUc$MS#@+#5-1BrR#~6UpgDgTWFM_QusV!o{N>OmmtMrQ7|B5!plQxJG_DW
zgu+p!s-3USe%Ib>bn+3`T*+t62Gr{_ockp*rM^`h{*Xa%xEs2@sk-<&`e4vimRZP=
zNXKV6OE)X6GM5Un6(+HH7HZ<n?Ru&!4iSDs{_R5toF@dffZi$$+Z*kzG{_13v!{ea
zQl%hh;3*>e=^h>l8|nrZd;OOdPv=pDg6)Us2nQ<;Wl<DLN@?|Leo+u1TbOp!yW_oK
zCutvuk6~2#a{b3F%-7UR`7t<fA_6veX9{u6Ue_14wak>w%E<{NW(3$sOu@f=-?cL&
z<azYdMH%wFBTlW~vm;!2ZJ-|?I?-}wrl^`*Y70QFNeoD7UwhRu;-@4nzIOeQS&(6q
zcaHn|OBhOWu>s>d9-%}=%CZ$+BQPcQEhiFG=0D5BZGz^G!x&S-Jjc3!nJIHkDk@ZK
z(F>U{LW&c2%~onY%&YB6Ucu1gH2184Q!J!7TeKef!!#r>{V<?35&*NgEO!!Jm&ukj
z(0Dgu3MA-B%^>ESG3@LV{xXrROZnboyQ2V;8S#{_bK~}*hyJFSXA6?@+XL*<Q3DFr
zf%sXT<3|^Ps_}y3*_nWd1qa5Ln;+j69#qQub_Zm%a54Q0f7^>K5k`q{O#S)s^EMq`
zhZwuDQbj32AFV#~usg_D#z-XrY+`TXO#&v%OpaDTU^D<r10h1zyP?5SmMFI@DrSPI
zbNdr>g_$zAxmXq){c8?ix1K`|qXEYfqZC#jNI=joDw4#YEQS#TJ>PC|3Jl1L;N%q)
zbhEUGAbLH!vtv<-pT4wJ2NM(&h%p6+ZY0p#t?;vKFT1~X<Ui-NKa?0P<#x8sSKf+=
zMm?5nJ&OAfmegO^j*ekG&N33o!&p>|l`3u`L=hoAbiFg7js73LxH0O_O<q2~&o;|V
z?Lk6M;;nN!8xrmCrn>#SgI7*R4kc}HhWj=0vN}MSm@X!E*v}Qhqp|WdlLT)eGJmk!
z<K3&=QDc_^0A5ugFc1r6giu(DD9pW0Ye@#Cc2?%(IHst1x6fEf5-q%G3qBmm5M|y|
zNPhdn6Cxj8HheTjo|!k1A3d8_*SqePSXQNu8$a(JXIAMoF~|=N@vh&_pvr&KIAn<(
zDZT59ve;?X+M;aL@%Fv~)efN-4?Fp&RZ`Bjr`6aQAU1TU$B-Lsdenn|VvrMvx6IUn
zHy3+Nk;#^>Py73~o?=ci1?YHyu#vu~1n29n9VGYW@+=}PF;W3Q&y+CQt||Ji467mH
zd6)eTYdJts4`_8wYO)>Eku*P9p?Nns->)IH_;JR8*^p;eKu-s~{62FvW~5rplU{Gu
zAV|Ri)vv9OXKQXgU4O&~e`U=Pe(<kD2~MA)Zu~kR!pqtB6tsD`+77h`SnuG*dPp-F
zcY#d?LPbJm@TT$xSnSD27vf<+Qg=24fSo(y1Qn$!h6YQjuBCaT3YNECs=9kYZ~7&V
zYwKYl1vy2Bn~<W9CFe}N>I+7zH#e%v^KsJ;krwYPt9%?i=6W2fL=5m<wZMR(DjYsg
zma>(F^V#n9^Fc}l$$M9P`Q54BzO~?yO+Q>Gb?EZXhV=;|Euf=%4R-!$?~Pp#j98am
zf11qmz%Vx}wo?)5LbJLXB$$QvvyEwKRs4+hhm<62vjvep&&)q<r0Tv*9}gjS;`OP2
zO%xBPeCOGrYr4I=RI~QZiSK@=)C!{M*wKgwKKhEst)k#oS~is~mPZGS>kjX=qc5TH
zCjGJC=FFA8V*As1@7AQ^B1`*MTf%-5i&n5}v(y?{cD-y;hPWCG2$`Hjqa!Icm0J|>
zdxMG83=<2?I#fJvzu*P}cHYS3&8SfiuH&3D4FGuA9frD|iBP!yN4Yc2LPheY*?nJ3
zV#I!r93hh+2>PhK42y8+$oU=J(6d*I4@6Ziah$qaeZb~%x2gmcZlk3RUp~RqN(n!k
znxsR1`6gRe<XOd4l-H6AL&}))^NOwbs*m$WNp$n>7oS5u^A~-Lk8z^egR1~*Tr^vA
z8GeG0Xq^H(1v?q|&SsA+yo-$U_E=>^DDx3+>FEmLd2-H|{L-D1|28y2!(G}PpzQy4
zv+WEIh_Rxd=8iI-RJ;NDRIDyqTP{4TU-X9k#&{P$5KR0u(qli6rXv{BqQ^T{O7GkR
z$__iI6^6$lw%yCK*sS(3t3(~2u?-Q6%Wy0~->U1$8`Wu^z1^ev$hzUIsV|Qi;aWA>
zcT#iRb0s8e4>jC5L$@)z_k+Q;_!}&PO(a%a%%H)kDBtDAtg{<$uE>U7LIX4+LFWuP
z$-WJ;1&Na}K|*u}W<IGLXMyqkK8t5jD(b8?IOcRoQ?lhH%4caJds;s!CN3^caGIvN
zTsdWPR3Tf1Lu-ct(fXC}8%u>WN2s&ejn+5tsAj*M(RjO~KH{{m```3BoU6-C#s%$}
zFhl#hLp)nZ->!!19?YHn0R5e~+?^|OT5nPG$;CS~#&cL(hp|FhYzKxKK1FL_D+#MB
zF_Ce#>NPoS))n|LI$|sstG>VE{k4Wt!&cmL3QUqgGLXi+P0CpI(MnBCEZTU-6fDAo
z^}NwLQ>FO=l6I+?b7z_U_k9=cxOS&YB<Ix&SjTeLhi7T`oQ6xG#jC<yb(Q3Gl4ibL
zba(jcwD`k<lLI5GuFU(|vzEOteid75X(x(^|H|ipxu2rj$^>-*XiJ1%SJAn8awPjy
zEK8BvQiKGs;SJI<npCH*tx04=YA8%}cf*rmg>%8;r&FzCC<%*Ose<w@_dTdr+2wtY
z&^(LmMJLe6`fDw2^U4q!Aj?=;xidKX`^$5{dszKKE0;f&xDn|$s|0la`nh1VQYB;P
z<=)~*^iz@J8wM_d`;62JAF8sRJeR}OzDSA@`})Eu_8Nx^M~SpaK{RbYOc9$1CV-#a
z*aH{<#E(T7v*FI<ahZghM^k_<rUrm~LaG=7WQT^w4B9c9=s-5Eja|nAq>^$8xuXDV
z&`Zf#?@+OEqGM>Co)+91)ZZ9Mo0>qE-OqP)HFh0XR}Qy`Aq*SF<}}PY45<xSONrU1
zwcey@yZtu(B{@#KIdAVpU6~LspRtGqP1uE--JkU*L%7&8E#b@;HZpqR88CgW6}Wyg
z!$7B24Hi1VhO%lrNs+7;N<mTutR<kQ(t9eC4rsp1`(Z*UmhKJuFa~&+&_drl3&R{3
z*?hO$ZQneIJ}bW@anb))_3KZTA5_?s?|XRUgnWNp=dyv$93OJoY5uCPH#{|(Fg!A|
zP=I=UTE8su_+!PIVl=!t@m|;~^(gr5C_c#){+yvW<`Wkei$eR)E)1cI2hO<sCLp0>
z%7tebC14rmZ%@tlFz!8Ag!gy$Z&+=1!EBtm|KcD&2}qp^xz!hobHef~);;$)7dI^X
zOn5#QpduXGlL-%ttWx+^Gef&-q?bTjKeMa$a4Y?ui{Rp4o~!cSS?_<i#>G1(-Bvag
zR;3Y(S(2J*-+sRJk~xo*^#M2f^76elzxoC%!jZ#K5hZ!0DRr}yXHGZw((U)fE{##V
zRW8lQMKuk)-JQA0&+SRpMRHZ#+n56ZynYoODUota4c4}g{hS?#c+*zDmeQxAI376l
zP?)t6$?x1rWr9f*?AHhR5QFhBRYluL?UKbzLR~4lqYOK}i3j-DK)r1L1Krr3oq3dB
zmb=T7vvX8Cq5|9X(bHtdVFT$*2>(AC23h`*mZh7v2C*D|b-#ez`ufC{`gj$+7jTr3
z`N#IW`u=rK@5#(#J~KgB0Mm0~tuiKH>Cc<kTl`*gs_LQai%}u1XRMoJPmu>Y74d3J
zK<UKd!*QA2WEBkiA<{f4c&Z!+v2?qpJm(4?f&sl4K6Jn+j2Qz$vTt5_?+^*O6R^Ad
zL}$tgDRWhv=26atS&bisH=Xuh);UT`U$$_H6nWh4{;7m=+V}fm&ezc`p27IHv1(U0
zS_O`~g{N~Q-n_iPR}8Mdm!;6Jmd6bw)~#hJuel&?qEFt^TFCr_$Z7$G@w(TOVi*-~
zpO7&_KW^<Z!M1{k#GfneHoVg~(~hj$nqMLUn6^XD+wzAnHrivXdKAFB($i!dqepYE
zdLNGV&8gc20~dsOf1z+2ocSWCy+go26L#^}@bFgpx&ge>k4K;?Ri=INoI1c#6StqJ
z5zn_ZM|SnS@t3db7B*H}Z8VZOAZRHvRiTopZz0|OS#GS!wLzF(FTfHZCj+ptW9=H_
zT^bJ+5g6Y%;afL7Haa)SblPy4hM~rT7A6ZTMlIYRr2EiZSJ!Q?cpI)knSZU2T1Rb?
z);JsY9zW;GR&^hibE-&K@|1D8zY2it>L$(7CV>3Xj*gpx!0ysVtXN+K-jn7^5-RQT
z#}7JioUkY&*MxX~h$1+gtFf&Z^S1=I<)Bxc+VyU{J?d?H{@&v2<-mZhN>|ok0#Tfi
zMEhl%2~`m4Nr72|rqo~=^xRo!S%CgA(pBtx*ruER@5xNew&<_%Pt_->>5<>M6wd{n
zKa_tQCY_pgi8;G*j_Fo2n-v4JeGwDGE|HWnxP+R`N9Z8?=0hcdBM;;6));L@9u|C9
zL+(<=!dKhfCw7890u7sS&z?%WXN#0k$2+rpatk=mmrlNU4Z5QZ3F1RySX*56cCeF(
zi=tUil_a@a993R6+^ECLU;bu#fhDw*!}Nm=@|>2T9AdTBaEC0;S2>vZtuoNnIS{FM
zS@v%HArpcy**G)*IRHaa0rqm{No_NqF>Cynl&X8#L~INpw=JZg^<1cA2q_p(_XbL-
zRq#+ULv_N+E#IngljZdDHDS_Fkx4D}!n*8E(%nHg20#KI!T^SjXkq)Le|1zk7rN2+
zh}VlIC*GiUt?i=j)6rq3>05p^JeJ8iE8VJ##ab8tnhj&bJO6%XWA9<UOWU1h4{|(H
z_7v6@L4%imE@#IOtxi8?<#eRLuEbnrE8s)!t?ma=f2gl@of0QsQjX4#QSD3sVTU{E
zreeCJd^sx*R=<T@UdF?T(S)$|Y?7j!g2UF`uDS(RcRVbElQ{2=`S|f;VEJj4u$i4g
z7|i#;E`dbG+9llbR*PRt(nMm`jaKfI8d&rhxu%8QDiThpDJ>cUzzqIRR`tt483|x$
z)A{<!q7sRTlvZP<hks0+4%T?>HWUmbSg)`Ncn)67QJXOujA1;(+U8Y49cgPb!O_2O
ztvu$@A5mbbxk}Q4yGI|I$J8dwDFGNAiYqNGtqfvFyw@6X)OASa1Zj+srfmN>MPY%>
zSjcmhMlY6HIxr5`=H2Al(bYP8M{##yq5G+Bs~WzTlbsSC=!h+!n321w5-(kqG2%vJ
zTVuGx?YpVJlpzEO*-MW6RP{ZeFjJ!w%;1aMH);LRpv`wz7%8y1vi_wqajZNR%!&L7
zdoamf1*ua&Yc}Q^K<7Jl{+5FXRCd^c2<H!PB4vw>gEo$Kwx0eaL|nrFa-AT>kU#@U
zD6)Z!8;XZy(4JXnumMph+;Z}&qS*eO=ERYE-SVomPxAWv-z|B=h1PLEc+6zUtlEWM
zN|#1ebFjjcCg;)XfHu>zoMYR43{_a^ZPe{ptrWG1FIjwinHOseraop`1-F8AQ;uJG
zB)knhfHt_Oh(^W7OmF-azJXh{AP|sb2)p&-fmU^}xPHnP56Zyjgd7cxSCKN^svo%6
zBpryQKQ3~78t|yhyx3E+LC@7-y}5?s1g?m~lWeR8eG#f&g{ieQu-*~4bmVj5_NhDf
zV9X8$_9eOKee9{Zc!u-Zw_4OdI3Qg6G+?|2>Lkx&2vWoWopROD_-9@pV_*NMM6Z9!
z0F)vnrevk^=JeJ6|4M+ufZjpE3oq&m&q+Ny#J$O28CEk<WMc*7$nb@-%h)VBKa532
zz;qh#H$*rma9=^^gk{Q4SZlF>2%#sWq$o>SXc}lpB$`h($B9q$DUvXf6{BCxo?Lct
zGl0KvVlHh%+c4fbtzh5mD?8-Nh3cJ+A~f1PzFy_)t+5zFXq&qMIkNYylnUCnLfi-+
zmyMKYoeW^50=n3j5pa$`zUa5YFtLY6i|$FS9KziW;|z98f6E08BUWXuVZS9XUpUp5
zYfn#A=3+JPakILlud>gxKVxgi5dTg!q=tGXSPiBIlhNA*<cYVvm(QCTE#3QDb%`oT
zOi}FEX#NC)oK@BOZu3j(8ZZqT%suWCBYFNBbRJ?aY{kP?g|1E8nb;>$oMx6@YV-}W
z0LDA`GojA3;l0YvF5NG!-DDybb~{?PzDOo3A@=e`Yq#a%;)10o=De>u;MU$jgAs8>
z?++5|m`k2ui=PKxotG+k)J$?n;w^z1UH3BKVGZOC-3?DbW1KB!^RZ;wa@YWYm4_+@
z;z407Y(;t1&x?w9&aLu<xm1B?nL|ClMM;02e_hSDA^Y{7vNAe|ojX%a!K^7hl>;yG
zb*FQO0ZgXgZN5lzH-!SLZ{%zu5Q<IQ@WVjP-oQSWt|z`{rx$Vm-lISU*xVAcqOWw}
zFLBYZR;jkgps;X^aBQ)L_3I`Q!%%TdF1YXW-BWihPGZaq8xPNL$V!2vzzS9(u*C*Y
z%AOp^<<vAsqSYeTt%c;~=PONlElaj|><^%(SapglCMZ>CDG&+6Y+&?+L)W9Xg;KPk
zrib1*eKd{ycI}6MYJLOLG#q_8DX9O)L2(Q~QWzl>H*hbschOYnh;0lxlE<?I+Kb!d
zQCs;g0;o<4fzL@r@2nQ1seVAI+p2mhdikiR|MVf}A=jFp>5`&;1s*ny0e_ba-JQM*
zbMZ^1d(VE1lt>PL+>G>Yky(j(A7tb$#3kyNRVqUH_;<aK0A`%l0Tf93Ff9@*pm8TX
zNX`xRNMGN5HGrpM16?d>(KvhKo9=3Zyz-|)Z!v9TB-_*7-K2YzAV2qnBQDCzV;*P?
zFS*3Dyg*%?r@2~gQ6hb_+bN_=X|YnNzeD$Quxlyf!To}sH6@N5pD*uFJagmhS+3QD
zo9Oe@o(KY<XvJTos*G+U`?;B>2l-YCqpm!Ao(rI?Gc~~63l!vWv&e~G%BWWdvYHv~
zc-2L?PdEnFoC1^IfaQ=onxL#(RfpaZJptz>ZsXG`q9_fh-U>p6e-^t0-%PW&923Q&
z!xRHHyOt-J*>-Bmmj+NR>aOnHSvq_az>GSUv*=m{a45eM0+XDaJeh0XT<H_K$o2<Z
z?S{-|VX*G2dpo;ycldXUrE=9rc*O;T@n$=oK*)DWYqqGCYui;TRD1^mK`Txd{{M&|
zRf`w-mJUoS<+#~r0wY;(`+H*;>a(dZXG`bP^ee_x@tCWM_3}`ZYUm~!#xfYWHPrzk
zfZy*CWRn9rN?Ih)Q}L=A=d#M)_<$GuZ_?AgRvI3nmie<Vek{h}OQ|N003>7JJ*Acu
zip<fdPmnz2dJ+;+*h$@vAWtiL$l4F%HY<SQ#U#L@TIs4b6c7Nq_;wI{g%@#tLzOel
zZ)wM@&eYGH_os%qR)0^A_OMdD_plKHTte5WJ#wbU4rsAAD=>!JSA&N!3sBKYgaSra
z8GsfstKtwviua=WIUH`<N;(fefjmuCD)eCu_z%%jQ4yh3v{2?`)kCTDu9Qp-b_d4i
zw7jIF`4&T7QIWr5I~@SDtgO=IoPDN~dR0~etkA*iJ_rlosCZQ8j~YtXuJ@=m;rJUL
zjwMt?d&YGKxTr6~EYm_W{ceoy?~Vw^*#x^!18Qm~ZoPRj9_bZIWWPSA6`kf;2R((}
zr~vuR_f0|ok`0Xi$<JpyTahSD`(w+Y#h+c9e4-9shet7+5)*~Z%LW`>EgztyvByQy
zlh-AwlSLmSA)<#56=`Z9z#<pI#t|aVjh$cpzHx5;BaYF)1G0LZ;knij$s;YNpg_O_
zkn%GL0ujK{+~fGCe<ICF>gx|5KFm>)1eV0T?9Z2U<GAR)G+eH4HDV1g+?qu4KiKke
z-n6TGEu2`Prr&Omx^ey9+5(RM{(-Dc%i$pX;;00@Ip~s;2F7N-vQ)qt>7xk-_4QZg
z=q|my0g&OY2ik4ks2<>ix|lS>T|Kcx!TX+rzaC8;<Gxp*j?WaI7Wfo9u;I6sDmtOm
zIqw{2g<jVycsvY$;qPov)}MYnX{*blN3Se<v(LlmZaGriVG$i2q<WMtR&?!a)w6P>
zPWs`w;9#TFE7R$J>75@yP31VNNGLOv`m)yVwH=G`$+pT)=6AbkW25q^^Vmg0!{ZL=
z1N~Xk&bFol<r7Q!$Du`j={|-{nhIfYuKYKuZ(9phZd#_g!hNT5?pTeu<efvT_-*t@
z-c-h;{B3#)NyB>1;HiO^&Dkc;q>B6x((JB}Tsbikiui=3-N^R587Xy`D8O}ipsxJN
z6#RW(>x^Jd;`;UBc4F$c!`DA0nFZz34odm9HfJsN*I6IWyLXQ*>X-A<*Q7`QchBOR
zb^Gj<Ck|>4O_8bmZTjDd6~xrkm(u{CkR;eGbEBstvA>E`NB7y*b@Kt$&g50;AX!@Z
zH-lYr_Onb4oV&d~t8+TJx;$GzU=P9Xv|Hz|vWM6IDg`LOed$rvEMVAPOPDjV)*p6<
z(D=2iOGUi>OMHo;Pue$3W^k<(1svM&QlmLeu;PB^8+VPcwN@TBw%^nfK4+Xk#HY%;
z`o!2+z8&#tmxRDzt2)75TWxiVa_|uth6!U+rxJwg0FhjVnmv4na|Zh00Q@a$Eb;!#
zh1z+s^4u@$4Wx@stCuCb-@N*?A(4sdC1{A4;=6iP01FbX!h3|*xUR$byqZ1_ZXf5u
z(B-_Sm1r%7^8KQQ>C;lg1Il`>$`)NEKJjo!V!CCkvPsv{%&2u&=#1L!u7sb;rd?b!
zHTsRv!hlhz)9PE}kSwJzMj$Z_y^6^)H3)&6K5_qxF;AVk*uq*ciEW?e9cW()as;^3
zbAT??=yr>lxsUMt7Oj6dw|G!k9vqO`8=OO$6c~q%{V<AO9ozUQy_O@a1&rG?AqUYZ
zdTPW;FH^Gdi`P1}#La*NndK%tsH9VAG=&L75#N+N$7_^Bf1DKDnGg8Q`SV#-6yf};
z<;4%b;&MKjl?E=>pDSEgc*If@PueEtX-aZNy}!v3B37T~4Upwwj1FKVAW%d`t+J|I
z!38Y!<4XI%!bKT$$~YBvD!8vAu7zc!x^$nxAcEMCp&3$bebDoRGn2IJ&{a}jlxs(2
zz88+cB$~H0Z7MjJH4jsBq(kSH56iQ2jS(KP^kLTLyV=ozlO~NG24>&w=r#5o52pc~
zDgAw;*%4G9)!a%U+fQ{%A=yhx*K{pi(@?E{%JP0^&rW6~169{GgcM+Q#kql8djo*?
zkFwLEr*DO#4}Q-2rhQT<r-^n~$wc~7<dz5vW?zDr$;t_&PDCQ9T>*8FlBgE{qq&BD
zl@Dq??rq7}lg3j+O>s{#cxR6?n}E`nhkphN0;2wjX)}B+t$}nO7RN;Tp)bZu?Zly&
z?T&M7(rUZcPFed!d)uN3xBq%0^-#3FvKW|g^_jxehI*f&-_CDoNnEg#{nIDXm+~~q
zZ5>jQ1l!05XHX*m@xfO>V}l}@6U%)b6^k*7xZcxwyY@(hD+deI$K~J9Uq0n_apLCt
z`xerT*5+&@vAN(Xit%UuMPMWe*LDQ>fC$h|XG-&N!7qm1$6fz$G1Sf3?}jfL6d#H9
zd>0G)!hdaDwR1zfJAGYN)Lv>ED?xw#b!Vl%d>qgAnKJIFS39Pl0)E`_eq!-b!B#VC
z+h>7*u}RWnCkZ*@qC1P61toV4ITCiwg?u}L_qJ6!z+I3IHbX^hoz03mkyai{DDU#r
zk*nzLI;g_E>wsIwUTv@5ZveyU3eaVVy~YnveI+AdE6*1c0q67+s|u2|UwnA-ejM9)
zIBuLbXHts7{RPR~&ea0@?&{V0t}51fcQb(y>#5h!Wo@4vi1C(sNLYTY$x@gfg;n@s
zdyCz^bh3_^P7H1U1CG6uma=Av(QLsBi!N!g{V^jl<gakDC(!Y8>4SkAm6(&vC|o*f
zYh!P3zuG2_thv<;p5>v0YwW0QG%LMVz;%q*{I6td>qS$o(vtM%=f}tVb<XRL=Ab__
zUb;+t^^-3U{j>i-Nh3r9^DvgxiBN>Dc0L(;;D!eJ$lQ=E!m!Cb018aqWvoVX@VGug
zE~l_t>Gd3mIIYAYv5%LL`$&iYH)i}OaAUtc0r*9=VE~ndwE>{VtiI{iB!12qc_4;y
zMc|)X2*!fH#HTa%6;Fui^1U4hk1A=lzQ3E7T~nSuZB`z(c7bA)>#+*Cpciiy(s8ZD
z3gEYkEu<_IFkX5`=1)IV3oA^z-^OBIK+|V{bCH=uyrlJMd=pn_30K|dGXd54&h;2N
zFob!z7i5Lb?nq4F(d(nzb30Brj3jY9;*m24p(-WL8|;$g8^~$scS8GuTi2|f*UA48
z;3_`H88w@0y@<I&6lT&4SDEugkw}}`ph-Y8r<w_bP!tbkibpVu1`DbyETl#7+x(QY
z`1YBf1>XEj?y01{`#mn~9L=S(n#g~f!AiO6ZRauk&H21T>T2cUZhsug(o@}YYrqnO
z26`FlB<#(_rmO<mB`a=veHZdC^Sv(;SRKgTjD>xAO@jZruOupjUI7+4j2?9%p1Qo|
z*nV#bF?}+j6b4&&V*pcqpeNkAYKtFTCy>rQf1pQS3n6HbQ?Ma{t%)K5x2Q~&3i{09
ztew$Sw_g7(qJCtd`V6uW{a~6~OU%XG{3p=cVIaa=T^7UGDx6dKGW=2U=-=V=qXym;
zyH7Jcd&YDPu!zX<sGE9t*#<`^<TYSSTkAGP-^ULQ_3HrvOfP58n$_l59KYo7=7!>U
z`Wj(U5#lKgRjrs_5~*@L|Jb4~1nSY5DqnXh)U;9h1blH^m}UhbzaCvlP9BZoz2K9r
z8`l<hMqQ<1F4z7<oRF&jkH=|o!D00;IE~`~g$33LOScj)pur>Nl2JN!;8L1f=?x3>
zDf;r#p=g7WF-*P?NC*-@!WYrdidB4#2KG!=KXY4e#fR3oJPE|8jIAcmudFhKDbvIh
zXN#AOyLmedGZZ8#6&%tBE-U8K+gPT+AgbTnCEzgVB?=rWd`4<P0kkuxBe-39JFO=A
zve!$(yI4NRT+?Xab+0F?+V}(QbOqn*{4bb+D4RdF{t?i`Jb8Mof1d3`GWsr|y0Ci!
z|8?0&W$vO-Dak<87OZ3Y`t11w@fV`nzaNUf{8<UCJF%K%yH8K}<lTKv+TLkz5;|6#
z8}<B!b^}B4_9m{hp5McFJzwnUuJ9Kkoae${f2A|=6m^m^alE?Uy1mfo!3N2HS$!lJ
zg;yS9lhxR;aY!(k>3ay7=6m$+&oXgB9?4Di_7pn%sYk&2qY5W~e}7z0PtPPU8no<~
z`-o?ahwMfO+(tPi`e{#H)+GtbOa5$)q`i+*HEerJdzP$TbtFxC9_}yC!<5!aRRhyS
zu)BhL#!-YC10bVG06KXR!e(9>2TiI1X>oGMYe5b6i=n4}H&##f-tHqJ`g%v9#0*6$
zP>fbJv$|EW{FY%_!o~w?Vj;dYUpE?717<C!NcvE{rGXml_~^fO?cRIf$XU&&|K|@Q
zdS`=pt1rbXIKtW$OMz*uR=FlB)$wrJYJJ%os58_9Ve@gomvMBCVC$w>PCobN&nTQd
z(sWNxTKl%OJ0s4z+*>6YGrX#XsagJ(0k`uDF&h0oA+-4bwED_eZ4>Y(?Zm5dG<!)R
z-ZL%JmK%`3uRX&}Ssd!!66#{IV_>TVf>Rbts*At<Z~os8`Oou*XIy?AO}N)naWSkV
zaiO*`I6YYZs3Ip-s~l{0N3Md8#81@T{sWPwXODNz+*p6mjCYLikq;wIJei>TOQafX
zDUSK}YHddts6ffb<x{T8><u+`y7$&xLv1hxMPDGP#(5H07!tjX#093cnW7%Nv42nf
zpNseRb3GE<JtrU7%b14O<t%y{DH{*^tb6o!b{;l)SosZWP>l#{_YkuG^9tXCIL@yn
zvwQXp2*5@TWa?#^40fM_CM~EJ2fNm8n^Ai}e!IVk2Rf@&XO8E@XATTrFDHwp!-77w
zCdkvA+?w8}uQSNBG|W|{%|ZM9^i7>SPiUGW&r(>kLT?xLLN?2Fj16eEL5F!*zj#<$
zHANeJC1dX|{*T@N=c(fP-@9~Mtv@QepH!FqYOKrqy=v~2UiaNq`d4w&p|?~k+OwS9
z`Xm1wp!d<5(Zz;uHSRO4AO59)vMH;n`64eoS}LFG^E0jH4N$Q1oM7TGfXW<b>ux}~
zLJ4-Fv`qOYji^&wo|e1u%QT2Z14u4vgTRvielcZyGkCG6({_;E4})&38i%bVd2aQ<
z>wJyWjkNyl;O;$ensc{_WNMneb=UM>@>PmW61l1BsMO`OY40y7;(W^C>3YHXgj`#<
zkLyqQ^11VZ-s;sm`o;g*Gm-FP;0tER^Q>G25j&i_`~!#14w<NcS}Ad<{G|%))u3Sd
zD45X%PN!!WQ@f;bdT{v+_P$J*2bzic0bKRpKo$9xF=&a5ofu@(fy&yfsM-W4q7G=H
zlpfbGZGUt0e_gmg-*3OWS4wYT>qX48ck9PI8<WXihY#&%C0|uJzZT3n=1r4>Qq}Hq
zEpCxhAMg8TlZH96>LhQl#il%mL+0oO+LHqL@TPUCI~9flVNWP50a2hU2tK}^t7uIP
zWiQfMCCOYxtBf-D>t-WlEN+=P{2S;x5J>kQc7DFaDC1`PEwQtO>9c_L1AVXxXe^mK
zM`1ni+WY6*{!d#0{A%#=ZZet77I&GrXKkh5(n9^|+f_@v@0BT>XF6;s(2O3R_qRij
zsBmIBrLr4DfMXXfBz6RO7cYysTH&+kKIt2W`Qa6X8e2P-KLueJeTX3|Z34cTfJe?S
z^fCh!Rv2Z$*vtuYr%b39CCIubEC`rGZ%JfL$(J`I01RDx9beH$$iFV`)9<!?W@cuA
z0gDo%UIvq>E3fl8$Ht2d7j<D`P_^jko@!^c@wH)*aC?jHQCsv2|G$lfs@d7-AO6yB
zZ>&d^MaE;Ucb}*V@D7&K#nBAAN4-@eqzmF%tqAHXo;<tC={s22w2N?pss`q^=OWFC
zvOLzXjUz2iT_v%B5|wb+^aWvPn^9GK*Yp3il7C(yP3qT)&bZ^XP4PUbUPkRLNnL&!
zZ~IK;D(2u_+}l?B_kklfbs%I&6=mRfOx?4O<_b2{{xq8tM1z9(CDQw>Dqqz`+9ItA
zL9fDyUD^*~k3LRm-$KA1J3Wphg1y3mGkVB(l;Z~prA)c@<W4Z2WvnvyX#$AB*|CEN
zo`3ZXz!kf7HhP2=@`>thzUD9YMYYHOhOM=A(UavnYsq}uZxF7<HJw#8>s-`~Gs~82
zoX0LCP(~z#kr7s^WlyADy&Nin0~BHyiZPmG9l*Nq*d&OhPgnDr2;UTt1ikDWVFP*y
ziZ%0J^TT8|=d}LS`tRDkpAT4yl8}q9)SlR&t7}Z(rhZPqHAosr<z*6G&MVnqErObq
z2a6;x{IPc2=Kya(*g`s~Yct|H4J8KWTb3*&k`Infm647_7EAKCKs)Q!-XR&!Q-+2X
zugx)H9)$Y8nmCpT`^pZF(d8m?<5<AXs@4FoCQPFXBvtlb%XRx$)C-!b-H*n-!8kz!
z31NdC_>16U*uvsv#*MIdqm7}d`hQ-r!02o=!hZvd4f;$?oAkp(sc-f)QIE9;uhv{i
zRrUAND`i^b)RzGK4aNhs|B~1~dm_lLHvnkr|0@*P7beN#xAwj3gh0XGZ^HUAvtJ^E
z#}>lOCq_5XPD0oIbx*~)7Hy#2LCM-%6_i(*cP7gp`{~AhYBFrAh|kT*X)QiAuz4+3
z_X{@JL$KCSm-BDe7cS5Bmit$mOa3cNl_BT}PCfbELSMXa*IuiTFb{lPXoUuS2piU_
z2(ZeIW1*>7P(RGp*7isQ<hfi2;yKkA!VYMGHq%%=fR186A26IN^0@Kn?teG#ZhYZa
z_&ar=mT6`QQg?jHEx(3v#rfZLehprK5N2nK?zwFF$+35zfu2Hk%x&I3m&uj?CP|w#
zx%^|w^NK6>N9E$>fw-O$wegoLk6m+qbg|qI0(JyAaFlm2RxFJ56^Y;22&p$O$w?n4
zV=LM9af;khbxH?`1b!byzYVs+;3896N{U+wD1-9@U8zF!si9@jdRu2Fu(Olizn;}_
z`2&slL*r*U({OP!_m_VLS`4st69d+Kza+ZCB|C!E7X+l9=l*d8S(?YxW^iRi3an)R
z?lLn$I7HgsJtRJ3diDM-e)SJcgvgfLqpRHM(2agm_TXv@;#VfDbQZnYl5ZjuFYTIV
zNt{o8+0NuSt#sAr@VvP1$WpA3!I-De=12~7X<clSod~a)?wr$z-U#{MVc_47a+b5B
zv$Ixm--TDBa$}e57fRP$kh#{kzT;ka={E-~wKHfOI*?Y}pE$rx`|NSm&UZJ~j|TJb
z!q9eAQA>C4JeYzAZNi0}bs%#pR)7$TvFhBXq-1qUW0o4y&w@xc#s`eDpOLY`UCXJ~
z-uStb3a)JFz#m-WLX@7j!Qw_)8vo&bUheMh9Yr+RQjRVdUK?%9G|-J%NEY#Ttydn%
zNHdYEIPAGU^7i)DSl&K+FyrxshY80lgd|wa6N>Hzcj-5Iaf79o(-S&*C>|vy<LeEy
zl}HeS3W&UAE0sq?^g>z6Z`pwAgzRX!Ye0ZH&lC$FM-y%MalzQ!JtMpR^<wQsRcl(x
z@xNLRJ6b0sES_nZ86s@hhTBNp%YFz7ZTWLvP~SAgQrp!#<65TrrmV!Cxe{>HG-Cf`
zrQ<^1v+AQ{lW_VQGdZ|a;ITs*lK}Up{beZHKV;M+Bxnx{@Q8#Jpnczki#Qy*iD+u3
zC~DMpF+o$Ou+&*m0DZntbVtS-BK+_7>f7$SqniVaul<*PX!KrkOmhe^Y*T0mvr|+!
z%84H?y0q++MfG^B1OmYmfBdr<-}mjk*KH-H4c?CR4;x63nur4VkXTam5`oAcKM1%W
zeIR<sHCP5XKT`gWnZ(q2)0e%Qprvmnk-?NRy~n!@=V<w=@E}Gl#HEN$2_sQ*U0Usv
z!vDjZqGG-;uJg$C*XgJz`I#p5tj#4s3Y|X<)V;H1xu<^08Cz3PiIwj`ywR=7`RA=4
z3GL<$F%^XM4n$UYvrdhfdxmk6YfoiMCPaM!9CX04G<!`N3!4R|GsHQovoBWmQ}I4z
z$>;X*L#j#u!P-7<P90YGm`w_7QI*>20)_@H105jxs+527p8s)yzN3!3_wOFPC*>J)
z$aADsUo0@~wX3J!T50ZODW0vVoc_fh1D=WwFaE>=N}n|O9_xt_A4Xxyoy8h&A=XsS
zyftX_{EFtTqGyc$2B<r<j&h)MwG4uGWMfjxo4;&{VxozNaw>l79rDm)C#QX)nU$c;
zM1?c1!nsTgG1avz`V3LSZvkk`$b&^U|1sPD>$ny_;K;R*Q<POj-zS&(RjS#K80=Ea
zHmp`xTuLCm@NA>`=es@7Yti}J!lB|cmyamKql6*!DR+iD_Otee6pFG3(h+yKSyppo
z>*g6{7In%K+A@OoUJeMw@p+u_o9$3&09mI2e27pl0QKepGWAdI=ZhXH$9Img_iL<#
zCv79hX&wOn(W{3YIrhIE^p6|&ul!zLUoSXyY{Y|bUOi0)m5u+|7C<I*joCqk;>+C!
ztly^zV;Rd{`gwmYS+4Ze)7(x(qRH(-?+R|w7W`?XiM%ya*Q)4R4foV#NID`dEvAzv
zA(eI46Dt`8@Kf-VzC4YM=J}*Us%7&wkwAwFT_1O)sAW7m;Y?=O)*O`KMPer!NYR2u
z?TO7{q5tC;{1fVVIULaL9u=Itt(Wxe$~8n%rO36>OTS$wYxNuTgyqMAF1(ug;dM@w
zns7+V=}$bMU~o2i_%Y#pE~-SSW#rwIr|ERRG<AM5#5(ikmy^cbqqFbm)1sg%ia9oD
zK+oR8X<QhQ1sm35qk}2iv2w<7@&KFh0O=Xbu%~}+UnpK?*Fdn=vGj?__nZH5bi4SY
zY#wJlDT0TPL`<h1I2g(VtgZbzrN6nEXMj{v#bZzXoyvrF9s`0e!`s%^2+b^0GX=f~
zu>8vep6u_Tw%5ByU&QcV4i1~o3!4uWR~If^R1Xv4UIsbS%gV|cwiCiJEI7Lbg<>N7
zhvyo$S#&%pnsz7tW8afCFHW*Ac0Gx3pwBW^ZS>cI%8R8aHHpLUPmFrTjp5vX>__pg
z@cVMO^>Gz}eA6h5^_$Trhm2RD7vo#DzMPak9_9Xf#eebZMCk$%#v<Z*MV00sB2sdH
zBT(vdX$Of?mA{|)5B>DZUvTSTZL?SZ4vlApf^9QS{`>PKes9dGy4e_iam>{YwfV5u
z2=3r%M2PQ5d!@}t&r+`V^YOtCfW=Rfj+pJt??vCp*I!lihmZ6t*+fFa$_nBY)jO}G
zT22T=Fc;fxHcLT8Y%NWwA9J0t;P)ib9t+;jefr5kVyew<z07i5u&^bn8)$#3<)+i0
zw7BlF5mKPzD?ITlW27(&Uv|cSm{b2;&10Q9GL;tx$zC^XM@wJ0ev_`v>@%&E=bXNj
zl9t?w?G#TPNvVh}JHH*+H*8}qge<+vK}XgZF`!`Y{?RmUsP<WY>0$NGLV`?geHES>
zho^e>yQQ*d7Uj4c@xXlCRdtxPZ@11;xiOjNPxKtpZaEH&*S*&B^4~L|5u>v~DYWd>
zy>5nwT3WTU6cQ`lZ&X}~cRfmhLaiT0I-AGlnbx_h9@_u6f8UFGuQ}&jB%T`6Ag*&?
zetE!_4>mGmi0*zr-njADytj9BS<=7Fa@ng#o+`|qg4KlJima`7S^6Ox{HVxHnrn@h
z6nLr{uQK|ANg6K;4s1GZ%J`X#KFb~T@6RcC{C!#)J$q0WzBlu=Zy_gT)z%t`STA%x
z*6F_9W`_9t)7p39pA|;r=2Z#UH;A+>>91Buq&Wv&6pSNHE#xgV>vfNcd3^H~vH|1~
zF)Op#zzE0`g?TX2UUiZGdy{+-PW-URgjGh-5>E@u$;l~_y@6rjV6_L&8~(fHDGuG6
z^<+6(Y54i(CEO)vr)peDE_9~6Fex|-h>b#*cj?`FDuqCv`+r&hz_VHcSea|5q(tm7
zm+d$yMa~`leylUU1pQ6F1W1pEi<sNmm<YAa_x25eYh+`m&?oFs|AIS3mKgC=K{+hA
z+{?oP2P>x|;?8W^tVWyGTpo)liT{tYh{9-INnJRKb`Q4_i;mIufT?t$42OxPs9bH&
zkzBV6{Jl+TI*<|exYyt4hZl+K(~TTj)%b#W+93KKBkn?1NswGvfVV~qsW10ce>7nr
zEN&ZJ7uI0Cm`Zc{)V=L2iS=ks+`=O)nBOMQmL@FpFpxFe!DLTLvnHj*(=F*tyTkt)
zE1^DU9;;wpKRs~snic#BNn|M7P%6qmJ%4>fkqnW(eB})S-g!B7<QZ=G+;#%;eG^De
zZ_UYn%?T(GaB9EWve3t6F3oB_h4NN84&KOfO>p$H0nTO7Ql1Y<cy-$kl7JqAq=qmi
zYeQw))^abrXlS-<fJ(;Eh~TTYk%nWlK!(WLrbn`0)>j3yS&)B6XWZ_bJxV}IwhrFx
zi5JBMzoHBp>enc`-^%irI0YVQ^s+rii7xw*U8eH4VN)vQxEFqJxz_L9YJmAiD`|xU
ze)}t_BZIYmKzqB|RzX>pz?IupF>GC+XBLQwCyD~yUDAL2q<Af|TVRY9HlkA6Nio;S
z{a@Gcz-Y{FE-o&%x<4q<O9+wKhc=WfUWg{%LSBXf$E!9_XDN02#`q@!2O@1@a=mo2
z3YeQ~Bllp+N3ddKH?2q9%?)e}5v;VGl&A2h0Lg;^(i4ESPOt~v1FS`3h39Dt>$2F>
z%R`X+<GQt7k*;hIqXEQdIY?CSnlgL$Z<jed*z{~-ExYz&kJIoAPs4(iH}4!g(jFNj
zp9qCInqk~69wwp4kf2m_0J5NV8}9gSbmX!QgwF=6aw5%@5eGSQrP1O<McT}l%3H>e
z-YP8(N)^`Hi%lP6FMHGFLa(x&fz|*3aBHxSSI!M(2>^)4DBC1+?QO-C>hvyk2l0Q+
zc1~M78b&q<5Y~ejpJH7ZaFZI^)irIhOhxI%VQnc5Y=WFyaDk(Q`(^hFp*7#~m8jcr
z+pgV${5Mzq{8kk?h*BDP>UjdyR5{u9vtoqQA;*vSxC7~c_!FX<0F3^mtmvsty1K4m
zagP93vt8(YL>jMsZl5q>YGf;kgFUCiaOiPn=-;s0@dyZ7ani~9-*>w}_t94!h^(xv
z!IIGhsD;mLL!zap*zYy~*}Uy0Fs=JVyC@`8EhO_N^Op{qRg;_YPfk_L9X@gPA8a#v
zQvN8;%sPK~<o!6uJgQZNyHhMqbDg?LqcHlx8I<=eYJ_&zbu12L^<qOE7CIviKDC%R
zCa<*G$Vcuz-NoE)N;hVpJn1Nk&cx^$#XbM-#}!PrpP8n4!F!z0)q7L*E_t>y_8zZd
zkVp3?NkmLQ?K|U4<>9V>qSRuk@UYNeboldT{IL|*LrB+H!vw>Dhc6fS2Qe@<9Eskn
z=E|ftlD1kN&|2(GLVemUENRy&b;dqWgN=pJm!1RthQVHI`l2nI1#4Tz&TL`EugEjZ
z-#`n(9tZ@YhXi9&|MgTHQL6m@EryVM&qh7R3F4yQcfI#^MPzqPLt*=n0uv{v<KtYb
zCa~m^T49Yl@aN5oJ;G;s6~;SKFZjCIzgw+vw!sMuLHEwTBI^mHm?1T-kVqTvrsHrm
zK(YXlHakl3%&hQ1UjZH%s53oBj(NBIUY9k(M#7XRux;D07+gmTW>EmfjBiKKQo(;f
zAq|(Vf<SD%oztA5&6jcaA;qIb?Sy`Rap|;E&HlYX|Gy-YgFy7T?LM{oW72c+t2_UU
z_ZYQQ32f(A^AIxJL={vU$tVe`Ji{z-V&?Ny;Ow8lY*21tRbk@bDMr@Va<x(AIM676
zDigYC-c9(8gUN2ffGJNfv4gYmBd1Ke&HuHCQ*6(1uY2^Soxk}SO21NptT(LiYM51{
zQuM^5Wn9K6cH4?@muW_Sk*{km8hQ4GRl^Fzbgr#h+{}66Q6_DFtZRve12KDXu{O`U
zVAHAF3GcEi5OHirzsOqCc}CG|fXOu|iI`+<5BkD3<y#mJx`9VT|KvFT!>xa><~aX_
z7F^<kR7|`{XwLt=R^!Oo2cVwX3ojg3dny%Z!|Tyy%TuN2|7`S~y@Xq&Lgk0TVytEX
zcZuZ$3NF9N0>~hYA!)(z2vQM@?#W&nxkQ66m>@E8$qf0RPN$au+2eYhFgJx|JP50Y
zZ%Y#;DVX90{v(Mr3cvZDZB(Fg?Z^0r?$P!ZfCN+@S^!TR_b2ezWcp>m8(scB$B(o>
zu!9D)n()Vvbe+YLk5bKfX5%qL!)`0L9w%9jd$yBEMjMiG7e%7AXrNtXWo)?Sbdjbm
zn9K#(@9*KIh>``&(BE;c5Ge?UHX6BYIdbVgR&6hV=y@6lFeutb1yAc2!L^reagIL@
zyXato&NWT<6H0pbXTigb9@&O@L`;6Qx$QCOS#aFl1nF4o2pwMo0IZDF#|eP>=<s9?
zcrwQq7Z)2{l?#c;cSUR+erq{zOirj8Iu0*gJ6Ep8jw7)FV5W|YWi4X6hW~q8Q}>>?
zWsO+d)o!}=)SfT6csGrv96sz?cH^jq$O6&e8O*RH>mL}m*y_Xjcy%>Z&^6(NUXwV^
zq}xO)L_qw-J-Ld}AX(z4`YK%AW;v!BIBX>g-Ds3|ZI8SaiH!TP{hR?2kZei=VHt+a
z90MR&aB&I>W%wV!C8u^h<3Y&{{c(j?o6k2c%hVNQEQ?I`Zk{02X8IZO-?0DN0~9~g
z3{rO$^lY);Fk?tAWgYmM0p`lmjhX8ax8gr>A}e0peVFLQd6A@8w;Cs{vh_LJz}pI<
zZqIHn@=i6y^j5RVTdKAW;#vOmDL;&#67Ve^q%xlZN7fo$I%v?6!35L|4eWyd0}rgE
zZ~!YQ=zYxn9xA?~^;dPl9PN{YF()<kh-53ZC^Q8e)Ko>mVtN1I*h^BsYSwBR$F&;q
zMP^cV!N=tKsaBE9nP|dtt?E<;DTHWD8maJ{$AXy)=$;Lb*YEG8%$M4kxN*^i5SD5m
z3k(FfYSZH;6;A)|2jzAHwj3GTZDUt^<z?C+<mVIbvC>8t!^-ArNVhn*!=Fz-ngS}v
zUrXL?1{YID%Efh-F6i7|QfMm;-1n<@v{@QkU9pl$sUfC_E`mN@aZ3ke5nPaLfLmj>
z4D@EKtt<fwkaTd+bai*Zf7H#L4}8;sytzpdofugynXH;=r6dL-$qPY-&tL+PPXzzI
zr@y04{QN(G$=DO)IlBXpPPGA^g&5WXhLvezqydFqpQe@zA~NeYK%^S-%hln&FB<H^
zO%{Naw@cLq%q(U6YvgsoV!N<p5Z3RK^a$ac^#8T@-ce1ZU)%7AV(%zja70n0i8QHE
zM?v}sN++O5FQIqHAftjbktPI)BTa_hYY0k{8fghV(h?zr2mu15y(fadZ#~~LgU?^@
zdjEJ_%O#5BoO7T1-uv3uzV_Z_I@cQkGIDAqE6Bx&gCZRll+M$OLS^qO`4Qva3VjgX
zIJ&`C&zl6850q>Yo*R31tOq3tAn-4hDQyct7PGyP4xm=Y!}tYnzH_c^YkDXsFrj<h
z4M^hjsKmd#s!lP>mA7WH>N4Rn$3SD-S%ZJ`woR$*7fvzZ*4bb4gfD3jsyUmoXXpQf
zm>J7IG8s?>kTfo{lx^GYUX!?H3HF~{zsl8hxgCENkGcKc74cwS;>+b#8Tq1Mk~Y?F
zCi(>8+s7j(LZX3=gR+~GZ-VHaV}1;!nJDS!>Vn>0wYkTuV#CDEmM66+<DFFIUxHhI
z<xVP1uWRmhUYmS4-lXI9sFwwaoW{p3EaDwtj5~&-_cim|s9#nt1Kgv{y0fc68+|7o
z&3DrNqqBs+(j8i%j#HY%z|5`M2cWrOcqC5V&Dk*hWmD+h1F8W)PapG@CMw9vq4ikN
z^rn+I22>r5M@j}U$YC=SLC_7{8*8okG0g)dhp1383`+ySR}ylSt+Ops^>(}4UqY{5
z8+up!VbQtcLp!=YAwb^HXH@Hh9E*D_9u!1rY}v<83gLIsfZFQk!L_L%`kOI9$PA>u
z{&ZJ;_~eOhDS5dY9H?JZ&D6gD%93;_i8=`+76q2SK@u_-ibibBnE{ZjDK5z7^cNto
z=H&;5SE;;eE@%282o}XiV3HlQqS`w1-(LFmrZpD6Hgwe2xnR}4Uw9^&D0!NY$5pq&
zBRAwWkrq;F;mDDPNr)^?8Mal~yK|E1Z22)r2QCqN3`9Ehsb}<Dp2mWWtAoQF(8rAr
z^uprHEYO*+TNcwm8E;ozFSWG5kc||l1BkFA;Qd|2P}N#63}{Coi&9)xy^Nch8fR7l
zs!+j@uIivJz2tM$ZDjv%H{IkBn#bAGN-)v#H#3+u+#h$VM`Q4{h7P-1CB9}nUne#F
z$b9EYP`K16j2C7cavHaTh4MM>mHH1Y%e!1JJc%`J$`BsNb<T~#{|>H~6fLK@o(la+
zBqjmk%aw-9P)a-mOa|`x#X~SNsII5y{(kAO;>qQq4-?p$Kvr|CSt{ObiP<d3fMJo?
zy-Sp*;vPKw`?t@>zqo5NZ5Hx&ckS!xzE^A3{c_NOCO`0G%oBT&p5@4k(n(D@bVV;W
zZe?CPul(pvD$@I4)|K=b$E}X#DlQwcS9RayYkS^eD;Mjah_y;&>7c7xpZS66*0v>9
zUmM<Ham3dH8H~Mf-4{v4PFoSA6758x-T@mKI?ktO_OBwQCJO31;f?<S6z>V9g|zVy
z_mh1F^d>C<Azt0c)R}druOPGDh(&2hzGUWF)21rMBBXY;{W14K9k_a;vz3&9zD#v*
z?!V6DC{OmbJ=$eYFFaC5<k?A1qb06My+fx+iDj-;OWdPs%ssRSH8APdZoflx_93c2
ziEjS&<lSiBhB<MFe^V^uYivl+2xGw}<`GXJ()*U_%ohw&6&npvQejR2YUMD=kmbm*
za+GSlcs;*^kuOJc9loMLv|rnRFvbMf^Wt>RUIpZPHwm7tU2*X5>^_({9lo4>_Fmum
zghvhJWKO@&_D$t>$RRTV<E2b_)xsVvH1+N%frd+N63@AMFIVrw@wOYBGKj$IJSdh@
zmW8F9Dv%HImh;`~9=-H(y7UDJi)7Ye=?HA_lK_D(xJL^4NlIb}%xNMpMrn8rQZ;xi
zfRLR+5u23W0EF+L8x$J(0Q1|tUh&FiG5@gR64JH3#~8wd(--Zan+XHDBYb#9<fGqp
z-A4}F?)p4#7Y}Jy+861(QGZu<@v-&AI&PjE+LQQq1raD8wT>5U(`EXuNg=5&SqU!A
zU+&cj_ipnA&Z#%eS{h$&m|1%Ww4KWK_Vjao>~*-0_|>hZ#^HcVvjIoAU1fcy-y(c*
zteP~z+{A<s4;=_(n0Bq94j4n8dl_l_G0e=(`NvmJFs}g&^O61Vt-;*Xz}$idl!uV_
zrWq-Mdtv3EVY=^oI&?EhlKC;>a)#f7G-~9TULB%O*{{28u`xr|vC-1fs%>yF4%wTn
z(Ta8sd~%!0?)9)xEC!qET-aRkOeUl8M`ZP!ee2h?SIgDWSevY4C?c(@LIWUF8n3^A
z?7c7Jqjx4Ym~!ZH+P5U;H$g`8fMF2Bv6y_d2+GfJ%wRr7)><vSi<IDP$u}4<6$LSM
z{Fy*^gs~%;#^1i)c+PbtO(}>1Q`t$t|D%B#e#w$)Medu`?|@X9^y;sob=6K;MCEp*
z`V}`vaU5CkGVn5LtG)oUX7SE@*v1Ubx1v`~f@wr#LV3YhA$I@91F5;Sf^(=O!AQHR
z)+++kP``%+K~<n2fEnkt>DV{+m5f;^g4S}>QU9VdFPF8f;E{ZpR!h^7k^<c*l&`lZ
z2b`Hx&#Yf+AhWbO^_P3;*PnTsG331e_{Uq`0R~ksZeCP{O2x={OD31)a3JHt#mRR1
zo8~-v<O`R02bR-ITmenw+7C_Sm21@{B?|yVaUAuLs)rd_`#MO=%llIIpXgbjJiU1)
zwukXSkoJK@94W6yNN!<jq6D|L@ID+FQwvpw0gU>Mcahe}csO&R&fh;!5*_HV$}l4^
ze2Jspn_8Az{UgSxopbkZxP^}cke^7da==`k%A9Szd!Z6^E^y&>xk$%okQVH9n$C=a
z%3V*sdI|J){PfT&M1t#GGIvn;1|MP8Cv&;p=w>2X&*d?9@hDAm;>FbZ>F|%WDJ)rs
zBxvg^g1DxOvfLcau`9)?UKxll2ADzS^uxj)RW&$ME|^&!hPj$H2B!R-xtq5txx@}o
z)UEDTF0W-T_0`{TlI$40Xr)E+K&;D3!2<qrim#M@iL06&^7)<hYD&(rbH1aXhuW|=
zka9Vc$oDHWaBQiA;!9j(#W@vz&r|oFc>=Iq$+7{0ZN#O<s#I5^Y<g6reCPuzpF=Rq
zG+!Ww^jqf(W;j(RXPl6SFpaLHiBkTs-0gtvLyG{p4-b-?h`VCO_~K;)g5Q8J7y4Wl
z{o_+Ws6l>h9Q_?9L>-)+G&ACXCZD}Jw2}TI^X|ja3CXC%Pc2nv{7`|DWQguC62#S1
zIJc!Yvq=J4*hfv*EHx@dQJF%|JjYgiyg%={`<~xiy-p@g->b_|6OPhbn8@KA_HOmO
z^e8pgnh#i_wl(iF-<OCEFemuB8;AlwR~beOm-tZ4cpI_miwfm1wU$^sbM$r73)R)X
zpx%I!mLN<JtuP=%!czXBnfzde5{X8B4kYO~BG=`-fj0;;yn$!z%1KyRutAv=DD&Ox
zd+>R1*QoFy?1>{Jz=X})*+eI%7d7wTYQfc_`TfDHw9l`}R0E(rKjzGBakFBRjF*IW
z)g!1FV&|+JXU)`ez6>9Lqbc6n(j#w@#>-JWOOuGeC)jzg@-SUKn=YC*)<!A#ZMXYz
zD?W7R0^?aJ`Sonnz5tN`Cvf@DnHF(aGG6|!Pmdpz&mpLnU_z>Na%}&;R^|IV^gKl-
zi&(<X%0E=j)Gar-rc1c12Egcpy{|pwmdz=D?mck4qSc9rxHh$wOBI5S1=?Bzfkc{n
zn;YtWU|rzSNecE11^P??KTh54{rNODEhgwmUDEEl+}3%gv#b4bw#wKo)BYUrz<7>J
z1}t?>Pq$jFzRWh=X(xOuFtWN4{u%z!?RfuzSfqoX$V<#U^XY(81<rx4S$#)Rx#vEK
z#*OLxV#NBWy2`iE6Wy1+!wHtU%Djm_e1Qxq4UfELY;JDeMVBw6GxOyU^E$;m$6>G_
zyt%I3?cI?1O+A)NiL>hF>96`E9$mp9J2cvT<*Ym6w}`$pdzaDH`pM4AD1H~a9W}Xe
za#MHrpQBX(3;Mtq(}MGfwH|PwPq}@3K6W<B*&tLJrA*#S3MK^#(h9L#g$QZm5c&Wa
z9PH5ru%Rwv-NwyiZ2#lBY(rnBjwe%|24|AT@hT*LWT9J;Z%6cQ;@ROxZ1uVRs=%hz
z%Klb(QCI8oIqSUj_xW1z1ZkJH3n(5J{W$Zy+Ah)Dt@>2kbez=acAojhYxb2RebP4<
zK(1$(<%bmS-gMoc>6J+)@mSb9<{nH7TIrA<4<HnBsSq9Xs4YMURGzC+%vg(E-Y6cw
zTpM3iimzGw9^%4Q7?$Kz3{88rgwlE=n>n0Od}>#7a!~s;OOJZ1TMyBb-7sGUnN>;d
z$tN0u<)qW#a6Q824u;`7^9J4}RT<rWAQD-cUu7ZU3&}}t-Q>?_`h>l(T@#mZ1L})1
z=(D8F45efcer{<dhe4}OqDod<_*f=Uz2^dzk@hvdv64tEXeBOI`EjHr=Zjt0*(Sw(
zIrIQ@_C4*SGl9Ig2pN6V&51&XiWID+dH(bkxzo?0-??RH=NKbz?!$x>6yC1_K|E-M
z;?@|VJ+v?su!zjRog-yg!$(k!o6!(u=8KSTFB(mc*VHro3nsZH7RQ|xQBd!h(hi@B
zu|8WOlM75cLJ9|(BX2b{h)Yz3?IuqzX=cw!-&X*P1a_WZGoP=_pC3Tk%60T!563ji
z>gboJ9uSv|*7BS-uuBp_ZlA{{MRxsr7Tz?AM}ijPMRUI|U+taxOfWI}HmXq`3u0`T
zu~gFO6l>7B_3}dh<QnSoi1KG0!X|{hCW3+$CNj^Fg4%h2Ho4HPgtNz6op*h?Re4QI
z4g$UxyJ0I;rgNOlJ~Ef|VG)z|8Oe6Z*K4c%U0}!EMzezllpV%)@XfvR$a~U)kUQf5
zDH@KEzW>YFOYTB;Z!&`mV;wnry1TzRxZZKV>$X%j$_i{Azq4oJ7?N6#40QF)SyPR8
zq%<1%l@MLDun9Rvu~c~OlWQ=+gfQ13mIC-d-8A2cTfUub|3W8k2e-pX-(~aZ>E|@w
z<YwG-<gw@lqn|ir@e}OzMR`6gCj^Oo>gZ?4Rb`ikZ36`}wYQd(^3)C3*lL)MN_?3|
zx@L2n-5(6L86~~*hd(v)K6^qLgMK{3q#9W=R<yS4ZuH=hvg1(VuiAl3Bj(VM9cv^~
z!!;i_>v|5M-E8JTXD3!D`|OUto>Bai*f~^oXLUuE#MKnaDz50(W<=a|Ni{W4X?lg>
z!c5zbD5R$88gi_xZ9<WM%#{ObaHbc_``mgWC5N~1*i_#I2oM*ypY&xsInz6F78P(p
zf$=8?1Ifkw7%3=ct|_mnTsc&9uq*ohQY_9_90hf%V~(2nd#*Ec<Qt~!re_(Xbm+tM
zUw4UPLxp~08PCYb$lCgv*VSS?>oomp;Suo4qW6W|hcJ(t(W)$USc9V{yXMGvoV!BW
zrSBg${3P`235j-G1B}IuCky?ZTdkjy)AP34(X-^fHh!%jx;0KVoWO{_@|s#jr&5r3
zthvvKbyDiP&Us~KA%j6+;G+Wc+Jzi=T%LPB4yG{2CK>Bp)5?HUxq9StoOgP<_-=Qd
z4saarYPSN=A#zgD)#=a&2pqyB+rpF={^{0nn5&bct7>ryPF_dzw;!h}fL&i3I8{1I
z8j0#U*YptGvY9q~I)CVSX1@8Fu_h3|R#kn|oC;C9HR8+fJMIo;jN_H@5!eQNMjtgR
zW6~7P><`FqV0sMH!7EIIU}NR5`cOKP*v?%43KRfHQzD{+YscR19$i=EH$8~NU3ir0
zkx+>i&;G0>Wu9u3lvPS|tadFkxwQY%Su7;A`Wm-d@r@thPaC`bulF|#E-<P-D55pl
zJ$26ND=Eb$q-ZVYnaL@y0NTbU%KKGq039=AGnu(!qDO6;u#}7qA@-ET;E_HPzhR*!
z%BhLW<#$oDLt`$^K};xF9_oo5Mp0uM@(EG9<w+KmLq|m5`WiY_hdQ|<nEGteP#|xo
z>V4gJkG`!eIdwnc*41XMb74P9jQF@dN!4%}X=yL9PY&Nrb?p2CJC|dXW-Avj6sG@0
z;Mkd-=o)^1j{7&NH})>qu5?x-T(PB8IT{Ufs0hc1L=)*eLJo<F6XTQK9+fEg43$|A
z*p9su$~*N(+ZN!z#ShMQtW%eWDNpKtqN$C3T%D>5Xktu9D>}N}KQwrB`u5I(5Mp2b
zv<7wzEbl)3ec)hPVW~2jxA;cqUkxqf!MziU1%NM@y1qD^1Ki+h)@7CX5$G}(ba{b;
z6hCRp3m?Dxh*yNtWjhY_9vcW|@FSSaWkKfht$DHCmC3^lmc<e+wu|<%DN2GxfE_hG
zD!O_xQGq--Y>viX1zpxxV{^EwazH}SRmeK&?dPK;-E6@CfrD3gc6%*2sHlCSWnL!b
z<=bhVn|hu@xPyX#f(b|^OEEDIjV#vqax(%P?FXs3N6Dm5nHCmcSW+&srDl{WNwV%_
ztt1lY!J?~6{-50Gkr;hpE}q^iDO&N%(FOLBTy;@ml1|ri{XYvz7TTStVw4?Ay|wLB
z3$A?rbL2FPDpd^vql<Jr#bQlt0+g>Lhl7kwP0iimoc!)=_ixAtwEzs~N1!$nA*lqk
zc1waYuVygO9?ZEagAfKkmN`8w-wt8S;cbrZa^!)~`Zmi_&94>6!i-;ZiQ)o8KG{}i
zRO55#%V`<0a+S?>F263E|GuG{IJw>z>yg^W8Gd}wG4hrBh)AM^nB)f~aBibhat6*+
zQb^<c*<P0PEKuW2FTFleqORudNEEer66Sp)5sz9A?=l1+K~4RriQ4Y|2+exC09ztv
z(ptss`cwx<W#^0%2xj#PGa|ji=Coum755)b*b3k)i4yF@Ef+Ndx1v&ISq;)>b5qm0
z%dym7KXU-lARzXcf&!r+h1MM=xcau?iS!b(VG5VSUn@^2Ex>O|7n+gi+!<c|8c-v7
zyIm6}P3xTB>*8dLI>%BkR9_Dlv+f1s;O4&=1;%tCMzcl~;!Kk4dbx=@(K^l$H}!4u
zdr2qs49w^pbRab6?6ldDVJ&CLa;E~_<|{G%1Li9$DOcQpn1?xOiNLF%{DC^5S`mun
zq=Tnt(yib(V!jS_Pz;ThB9|)1iLGF?a#_+M8U#VR`^-Sr={@$Mxi#UXAU#XWMl+{f
zFUSKcV<UtAm8|F5-z^s1S=OM|VI-INqnHekbSLzllBXB^%E;MBXC&zHpc%OSoOkvT
z8GC{b7KpJJT^f>Aj3|wqQEJQ_|I?s>DM#Iuo*<kE9B$?`R8`X2{jKVLXMH$O^C*p9
zmT^@$12xA{L~l>CqV#i{3I>{8s8DAI_Bx$;!+oF7&7IV@WyY12ev}Nat1rtsv?O)v
z895*||HgCC!)d?>P6(jM#%@+XxAd3}n4C%59qLr)L<n<E{j+N%akwG_MDpy92xEo2
za3^`^9liB`Gk4#w8|os?a)9^VRA;*vYU=*6{yL+_o|vA~5tD=~^>HzgO9&aznw_08
z)7wTYR(si;B9WJ_VFYjsC1<X+-dcTHg(-La@{a#e{u00fx<G;nW=JXz%1=#!d=}0G
zda#NMMFp1ETUyW8Wq|7Gpt%k`|H#QR$s(|w!~c)erPbJBfU=Z0bD^Fao_a@5NXl-w
zAyrnA7yT^T!4!;3z$(krWqR~G%$?5{F6<l&K=`$WNd!sVctX=TX231s)KVf+oBybG
zqRpzLqGA@n67e7YVqagHpd!JPI*iJa0?J?4HH}odIxudwxhW|g;qPxEV6n;2(jnCO
zUo5Qd!=oyCY?*q{tpUq8;h*T8OSG+AU6)=6VR+_S)3UV{dLJw$y>L)QNt%3~Y?xfB
zD>y!&D5VMl!AGh833TiqFWB=J0rG4ZE2ZZk&pQCCnXE7Yq9h`VE>nMd(@UTB9*_L8
zIj1_-M6c#S!Pgk9c~eM%_FBTh24&rpfAM9kOEkrt9aia)hNY)lXqup2gCxy*(_0c#
z{6nq+WAEa|`FU{Y((@>Y;nf-ch#!>$huK7`a`d8`{iok9%OhsXR`rsned!5nRL=%2
z#3*+W_&nHu3v>U~x;Ql!G}SCgO|*<Ys|E3BUPqfw(2Y{7MH6*jj&%&%0?cLr7V}88
z-}qJTWmRbJQC9sBeAy8_WN9G28(08LeP3YDz)Y4W$<5z*C0;~*Bt%HWq|Ht(Ff%g2
zUeiR^+(^$;eY|k?Pu9m+#qYy$a;iOE0R%Jrw+E^sM<yB`BoFq)PTERhvwo`@5xRN)
zFkWD59Isl9kf%~iLR6hetpR#5lhE2=WNuyQI>DczJr)JVxyD+<7MM>w_L=ME?q(3J
zx{hee9^%$$eXzkP(w0DW4j|eewDsT;xD=LR=WP+5FnQDCctzG-n5vpbvEW?pNcazV
z*RP=|IeNntapR@vTiccIwPiEHZ}DqFlew=1%imot3heYi?n6tQq@dJiq*kU_*<96?
z4<~}oV-1{YnJYcYbHJ9YO-3x*fWA(GscRLxrItbqC9WyW?R750+vJPz!1W39(oqo!
zM#XR$5W-Cq+W&M*N4oRl_53HRp3*zEwW)2N{wb>I4CHWM?S=}eE&}JECY}2H{<n&n
zQlawoIEj<34ooW0iiEb#u}(svqKB+yDVDy{ZN`o5U88*d3;@BxH@5)9t6(%Vb8WYX
z_NEp7pf<w3D9=~)8AK#v($w49!7!B<S6!EwL*J?$H?SB}-b&Zv`wy`!Rx-I^7D#tI
z@iuzEM)!=ecx6}AN#oompa)V2U63&)7-AHlzX)QUTVX`f=h|CWIViTifj-vrulffa
z0h<VAQiGTE7_)jA=O}Am_xG#)1jMZG1c(;h9iLjtZoe!gPUK*OeTBJ*V^8c1Zsi)f
zj$tizzXO=6w43|Jh1H5>8CC8Iv8$1(D@Rp&Txy*VDkr{Dkw9fMBOSY$uGJpPu%cMj
zWs_Yd#>cuaE*RBWI<y~{kW4%V@oNqSxca4K;+tJ%Jyv!HS#}ZJ!^yL{Z$LDfFn49(
z^=N(jz5LSI;7;51s%zW}^}_DkTuP|O!K{O0`|v<$Wy5~YnjqU{U}qkX3j3H{8e#aw
z4!UkvOqXQNVFXV~H;(l3BO!qlOOwILksfA5Ut#Si9%Z1bFvkbf3qV7bfm)%@#a>Q)
zJBho0_Ig&itVEN9+w)3T>|mgdZXw>)`LRa4oup*#RiG3-1t>-D&3QEXyM^}+V&=Gm
zQQyveK0K1O!8@duACAn^i5T{tsnpEVPPUPrD_m&)D+6~me(J$K@Ww~3km;2!Nsy4-
z`h3}kL=qB^m8$(Ue)~*!I^(^%$^zLyVGrM~WgcHXodi_tftqO!o%S(7LU{rMwdNAu
zzhcCka;PrWCJCrY0(uR{g&R=*VGhICJjq8~(xP<|m(NZ^B1WWzN^1+GIR~uie*67e
zSvGo~@L}`dwV`^!%}?rJfg`X$-%UD3Jl|!78F-4=K8l|AG3!%Z!U6za5bEOfronD{
z&zqg{*MD?;K+Qqep>aScflWUhn>}23@mKX6gQwRK&EhBOvurb#E=$6Eyp_o0m$>6N
zSDx=U*SN5W_R-wHui`d;%ngefh%@=5OZ^<6H<q*{O4+Mhsjvavv9ts$ohU`Cql0s(
z*MN$r0T`0Nd<F#f$4;1_mW_XsQZWG()p{@E(moX+T88GAA0@wnye8{NS)_tEB2XcL
zcRl}_+V;UY=SzM++$Yp4pvY)j8Wnh4U!%gCNuY%fNy0u(jqD2zJA4P?R&Tlbj*H%+
zaXH<~SH|4%i^)<u4*J<XL&KnctB^tfFn&1H4`@S0|8sb9@s_XsZnOii0LL$#yz8kK
zCFk-~C06g=gBX<FfNVr<&`9_1edh1CLrUNvbfe}b&63ZaYRwt*w+U+a_Fi7aa6IGi
zw`ra)*#<Y1VdqP(hCWcH0F?-gQqYPJXoUgfk#ooEyOz2<^e}eaFH{yERU^MWlcf0q
zjhpD~r6JwB*A#uZ$MU`$u|USJ^X74bh3mm9cX)J=d8rckS@i?8AF>{5me*aBC;tF1
zcg{a`;&@IrbW9+kVEj<0F5|*;MD$C$KU$;tle`ZV+_kc`#bww-U4obz<ALhIfT2|&
zJ?C@v`)miIj*wk}-j_!>xwuH<^}eL!cj|ShwBYp-CjP^TkZ*Q+3Udicj}cSF%&p>L
z8>7+PnC0^&d)ad=WH5tWvKp&{5$Xcbivj0^TL3Bt&^oNzqD}3M$ls*oQ=?_ZLutAZ
z-|+`OIP{DO0QQY;RQN>)a8x@f1Wi8Xs4z0_aAt#DJo(IR{$U}x$2Wfcarv$oe(_@H
zh(m_<f<uvWF|NmY*swYK?^@gdUr!!&Tsg7B8(w84(UZDx--mil?YrTPkqM=}9t!Fg
zQOk`BYr!7u&eV!DJWdp`Z<mK$P+OBRa;EM2tN=(t16@B9M%`-aalPb}+zk6VJ+Z$B
z5PcO51v2`=Muw5=4vD6|Mz&i!={&UPs{r3ZIE$@%>j~pU5?(sI;Y>I-TiZ95j48K0
zw0n>Or1FMXWrx*Hn0|dTZZ4thVeyBJiOzvcc?2-i>7A%n(xbU2!T$FNWi~%@`c9nO
zxHslAuIFN0aw3p6t{GP{OI=NciigZ9c^=Bhx7okm1p~6aRh7eHi>A+b`nq582iL(P
z`fJ~qwROFX${q1H@ev`9(gKxUa~{u}_!QOf{D<W`$F_W7ZKxevK@a~RdsMwf_mq-4
z@pK(*Z}`2!+}gH}J8bwrM-{A#*0C=7y!lbqH0()$Cr%_6>`Ck?cyk|@5ERH83!x=<
z&h+O7dYVfkyL-E6JGPL(bx#FRB+gJH2*1HRu9p*&7s`7K?i=4Kj*#6AGy*^V<=bKH
zdi$cD=49mnS{rokVZlU1kBkZ`QNbbcUKL)pYhg}aT-?Sh`%H1gy4LpX7g)Z{^Nc*k
zugJg&`x}Y8X@~Z7x}^0A+2E$9A4{ZJGUH6*f3mm-`2|>UC(xEO|6(_FWR)8d7{jMm
zB|k9#pzCT+)a3agjO@9Aa{{LVw_Ov^V55BuXvq`vEBnlws~_rM>Fud(l&Qt(VYc{P
z&jt(YYJCridP_R~PHqSg_Ys|6t*Ee_?<x_`;mg&~*tCC*)`E7T+xSv;Fa-MQt9J_v
zGZ1le)UDc)hoiTHR)DwuO;t%L)4u4_PNl@ZUNux)f)yJ+3i1dw0|+OcqfT+=u=HY!
z!33c4*n`xXClQ;ctQd7`OS<1aGG0;ndxD_k8T*Aspo%}I{0ig&P$M1SsFS7}FVcPD
z1<;tnVMo98-EIBT*0FLr0=z_5k>u*T&s8*W)7=B|xY?Gi!zcYs49+AUpf8v80!74@
zkIHSo_ubgT#<4H;nv%Xk^=&}P2XmcEJ-xpC*8BoP`$3P+FwEp%A8qFbthx?qSKGT%
zmim9yNwZDXC$)8sQ1rj`*lScLCvMFsXb8GEzVJ5FMeX@6?Fe<b^1CH`GPah!EXSzA
z8$R~u>Z>=-5DIa2^P#xj^(;*ONe1lXaOZbE;B{?wP??JqKqtid)(kxe3=VdZ&$V<;
zMn|s((J+k@-XC$@+i8-0XkkE10h5D0^`XmUirl~$XQXEN)<{SIy5p*EJHF#zfCNz1
z24*o`%^S1Qu66H3!tUkcy8|?ebJ=P}J<XSfgnN3QdD-}bL27{p)*NP&gL}T)%2099
zSC7em&p;F-D{col?FmfPhL@#Z&-iV#yIaMkQ}SP5-i}Ea9%Y05E+enM#Azq!u$JHq
zDI?ZGQiW$S4$NO}Y+f}0`Pb>rwod%HLvdS8u!(5m!(kyF4Lt@nf&O)4UJwnL^bTle
z|7n5~)HBawuqS!awtgsjH+c<fGlhzaTqCl$42r?xgo1qV=hmpQpoR*G>H=wNV>JTA
z;<F2Cr<%3ICp6+zWpC8Bj%-x#Dunbnh^0Gg0VM9zqp@wgKifKAzOi;{QCAMeGvZFb
z0xX9vlUeDT%6JDzBE`F&_d^0A(t4dtLH|G61SomU{zKyUJFbf4q$HqL@=M+B#aX~&
zABVFnsSjz=;_orX(<(LtLReL2a8IhPldUmVQdv#W??v4x&jGywvBd7y{m0?q+d8Ds
zb7G&@Ik~1P?_dDWIQ#0O+e{p~r_jmRwK|UPy&EL$=s#ol{}^`GS*)~oy}>UrryO85
zi@u0)s#4J>(%I@X4LB*+Ne)6iiv9+&3YJDc;ym=F&nNO;L?MX+nq6|r@=}V46GMF}
zf$QS~a`L+--oJaP5>`Raa~HNoh54!w2|e{w7V#Fv8dODR&SU}S)Wnst)M)I-@Z;N}
z6KAeaUSGmBLEo0q)1F=9*TJawOntOs@wz^SeLfo!GC(j<64;&Y2Ym4}_8hQGGO7|D
zL0Xv?I@+Ale??r^`qCwMz&ov;PEFB*RNfys3BpNZQ%{<UWv60U^=V}NAE31KwE*;~
zUpaoVQMTI*a24A|{^@`5Gt9ACB2mE8`hrgNGdCT$*CFAvopYEfHF>Y>%XMY8TP_~d
zyp;b>?46P=ce+@S;UoD-M@dpjF}kwYT+cn|#^8YY?d4q~9oAuxWEpRuj79YNa%RUy
zs;Quwjd^ue*7z7#V>bI5?2|{Oxpcn&Lqbxr*S7x4itk{;g>_*?%&^(s)x*p3;!7`w
zVQmg-7Lv~anH`|D`LO02{*%YO#trP5C7=w%)NzHF{Z0J!S6TR^pw>5s5aM6Lxl3fd
zfvan`F-6=6lx&yzwe6I$l{Fh78i_dmxNA>^d!2S~Z|_y005iK(?kARpUzp{2Tk}Ue
zbXD+u?XTz8f<`Cj`lE7mmb4|>>Zfb<FXb8*{k>DU?{Mf&lZ744WyV8bo~u$FQU=s7
z79M$`^pgiF>0mREOwCV(WJatli8+!y9CXcY$|p7GjnI5dD)=P42|q$&xeKo@ICEs5
zI17c%O-#0-osv-9M-KpvT2w5Qezp^DS`k>T-PPUQJ#Q5(9c5H3r_w&>I?ML9qg)+~
zNdLs{<sSlTBqg;zU--K@PrzmrxxGtn=(FnwMO!tz+<=YBOx1t*`=N(TnV1%$``CW1
zWd;4a>GD5WL}$s+yrj&#jSU?+2X03tMhrTcr%L3lUB9RGSn-%g=Djbua?2uxsmsdc
zmcJX}en_y<mrn+NEL3FVs3bI6!nnb{3IYSx%S9IToP@_e=~o9FyTtDh*q1b!{a_8v
z*_a*Y^SD5)$V)-qkwa&6r8cGR@qaBfOi4L(?&CQbM$RX5Yrl!PVJ~g9sfKs8oz}b2
zbSyh&X3Fw^wYjxveh|kweLa~Tul!e&Q=IT3+oE}mB9Yf!-ahk}M-!83Yk%P0!)($z
zlI|k<_?1-v<Bz{L+KUA}KRDR)_^xL#*UZm0OE&Ate1RDgNlQ)_!oY_o)w(7fAFD)o
zX=%ETYa3`M<K#1snFGC5l74W45}^`pMb{Z}d+Pm10!Hj4Ws+N^fz%YGfbd7b_l|74
zUGjK2%Qfihc`C$$MW+Ka*1W(j9}$3TMcE;-tU*Gd`?}Az@WtmHAX-^##e$Vx)$7Gu
zrJMewG%f-29)EU)F$>lLvIc<-gzCiK(Yxf;<Al|G-q=wVdvtou&7v1U43$906!mme
z3yr0ZEq_O4tb*cagQpFRP5}YopoA;NV*_Au3`?%VeuAZ|GFXoT1hG3Jk}ZLn{sR`L
zzMk!v8w_^M=$x(7^LH?pRvF4%Tz~Yv8u1{%1Dmw$o!tIf;AK6as-8~Y3ID2Hbpeui
zG<`N`_pqTPm_27{0@C%%FBd;)+`09@G^PrWP{tXRd#m(ae0wh+^LNdpefdSn;s}b2
zB-Eo!6>VPiR_;Fz@4~f#hdr|F5Fwid8v`96?ci~+Xt^GlS@D(&4s^p`3fzi}-a)GW
z`W{0Izt@9&waIDB74MY?7n@2Gb=J%~YLl`3%jP{FF;m<I1#r3H!21N_y*n{Nlj*+a
z3c{EgvlrH8_S29Q*yT?90vP&})0&}9rusSW!N(4>$v;``gU&82`w2ANQgcPj_E}$4
zt^HCsf3@gnCv8wk$LOfhn4B@<PLMdvDT#XrVe*{{SAAq82px#Ia0OGtKc#qgk-t*w
zt82^?+Y(<A_^xO4^PPSDFSQQ)b}pI@WU@Bb3h2rKyv4QaN$=+Uiz)ygbGy;U0E18{
zN<ljBB_>7fT-E91e+vrd*^2><O|m+;ukrbB{RuyNQhvjoC(UV&y%^AunH;xr6}{A8
zo0@^|OiPG}^{7qzfCA}U2eAUg-yAk>&uuTB^Y5(qun>q3efB7zU*cpllI<s)-$iV&
zx=^X`Da+*l^yM~RV7Xyh0NQJq?i>(Rt<o-=vgPBRTnjODuwC7s*H|?FW~t<l;X~i;
z^l%58!v5mx44>m7-0cten(8k(*qWX}{h~Qe75hm)qnlP;EElo_46ku0TewsVj+|I<
zG8&U`bOd>E#FHK+;?(!67A7+ic+AkBLwDjCp;zx5&AL@X2D_%WgG7h)s*`Z#D>Hcq
z>Hz5AR4VpuCsh8|7-L^m73<WpI>>yr5gzKvzPQzGWsIFc+v1%P%>ik`YX~G^VdYJC
zW;1sdOPWyiK69HyHZwUtO>hL_jOZ1$H9(qxN3)~}A8F~nlX<zdj{igJ4)D@1G*ir<
z3}-%(&{Yo3{33oCZRGZ;EA?HC^4D0P<^)h09EQp6*q%4%0i{7)XDz_yx};kBJO8a6
zdtmPLvfxJ30iZ!mlgm%K@f>tkVeKRpKvyVsuD`|KM`X>lAT30a9UGP86=;$N$`~N`
z+1g?robV)Au&ZyI*W>X`i;K?lC*{^Ltk97cT7MASRyQw^gb%lzYzNv%UbFbE{%3G5
z`jB=#Z{h5~*yEZ*2e?RX`FZPGTWD8Z<gi2`A1soYv}BT2@@x4vrVp(=EG8jQRjdbk
zK<imnqz~?tWBD^h8=Jig)pJ#Tf(lL!2ZaJXd7SFrIf#B8EeM>QFgRx(?|?##&fW>q
zY^3y)SXETxE3Ia7mLCPaU$p7ec{j3n^_{3~G@_t?O|NI5B&w>JH=mqi>loQEyn}21
z)ij(OE@NS>F@UHZ?odloxikhd4_Jcb!2R@QYBi*#3)6G!duYUV(4-FckNP3;ZxP{n
z3e!1oehB%&2smR&Zo=%ej)8w5Qd^=BoHLVHY`KWOzD*YH67K+e7zjT01L~K~7HJ8H
zt5&4u;l`W^bzTgsHffGh=Tyw+VEc62&KSd+yfNVVpjKcL8C^^^<iUZw=gKrA=5y0S
zwsHwUKLtQ;Er$TbO>C`-uA)s}m;B@&E)7cDd|5$CGWHavGWKH7LQRg7AR)tNG_QGM
zFoAK(ZsB{b^N%K(efnZ5z#OZw4gN9b8DiE3ESWOBaZj1lN(iSz(%P0sc1s9;f9W^)
z*$hYyOAHE<nMfQP>%W&Z^P(r;WZ+OwMI}T;PY}+X;8?Q)!{@-S^Mp-(0cQL0G^`au
z=ytV;9~jAkO(Y2z0MFG~2V`t&A60afDhTUadMdC&KJj~*lzJ>()kJRL=ME@1bYeiY
z1!z7v#gzVgmSLk&nmijoaYPSV=txp07aK0lz`6rd@9}J0m-aSDZfEtPZWIsrq+kP3
z;aWY8KV%$N*)KfL2%67MZY;zG$u3t{NQ#er8*lk~ro`aaiQfcPUOi*@{M-!-X?~#t
zNy1C+A4Sr^jUsSxyEXSAin5AoflDWCWdS{!BL?GPpn(1c$mlF)(SKTs8H&7mZ1?i7
zz918RU2@%K{0zxnd8t}*h9&%lS9Jc?w~bW(-GCkh^l|sP1%rVZS5ap=TTQA4T&9C_
zF5(8tWFW%eab6X4R?+-u6@9IL<Jp1ZN0IB5#f@TZJ9323hlhiJTuI<a=n+Y=W$$y#
z^6hxASnLGOC3`p+n4xf#H4M`7e|8(%p{xdqnAVg^#K`P2!1W(GM5z$t>dbyzTcsoN
zzN^&>aiLCz-hiij4bB~toJ{fP-B!YD8=Y_MhKEd&g}JiiOMPXR<zxOHQH$vFS479Y
zflseU4X8Mp?V34cq4hECFY+u=;f>?9M*EUa6A>2!#Rvh(`5GJ7yPtXIaivumyE-G@
zK!F}rK{rmX_6_c2t&BC!w|1V9w)QuZsgBzi!}h+NFO_)AplMR&xBF1-vh@5?Y;eYE
zE=gKRX-xR*Ov~k1`DgCgzq>w@%WEnUe=F+JpU-L-U8l}3^;UNqXB7PQrH(L34hOC{
z)JIaBA$|3+y`YLZ3Zbp$!b@X*D?j{G<Lb|bWe~9pjJsi`#@2&h<k2(cuH|C>mI2AY
z8gsnF_0s^UE7pJLp;0=LJeziE8ynQzd>JQV*p}oWmSITi8FQLmXEm)}bwmgAflST*
ziBA0wm&5u(>E;*NV*eiBHiuPk`RJL?YXQ+_Nlk)ghLN}xpVTZUZ!v*5iLl$ylJxI5
zi`{5DcOoK-K54uoI*Tz5J#z%P4CvZtlSAf{i-tW1Gx|QRm2&gln^-BedGQkIJrTYJ
zQGQ&Se&c7)&&?IyLSN#D0ZkFYM$66PUr9!6^v92%@984XoQ1fAT9g;0OSo(uqWLt8
z;KBqpnx=s6TQO5^4ja#=rl;phN$@Dr%uFD1BSQcS{P`frZiX*^TU8TE6ngd8h@)9w
zOiN0<wd%}_fFKsmFL7K_P(nO-iU^EK0t!X~tRnJ&6dOwfKLw22^XXW>@0Inh_<ZMS
z-X3&z+%s|n{Ou`xgH_GZHK42SZN4;^!*fT<B1NM8eu%Z<RXAT8d{snzrQ29`D>>5N
z+r;(v>ie8WC4$GZ!<efpOqm*>^qM?fmRNxwJg@4YR@4F8G>r-oR%1%xf}}X1BF`-&
zNG{6=p+?I{NJGEta?uAXqce<SOH08>o*Bw4Nq&E1SmpuBxNMEn{F@I_ky4Pn&79>&
z&dxPRm^}CRX>~V8SA*k){P&^ChEBSTeCzn^<<&ewLS7#>Oq|bU1eTi8aSfrsYH937
zI(X-lF*$ZUl>#kUYfE0sC2V9pQX(aNuv#BHo!TGTqt^1~+#+g^aOFrMK6|rgLw-MY
zIC%BTR~e`;d4i)kbCfh~1u5{>))wT$uD%?YndW<B?FQelW6TZ@iAaSQ2B9KIja#vS
zs&8#CXwG{?1!5~nd<`2|q~AA|hBMU%KIl_EO#;@GR%?V<cu3&@DMEfmm6WLLbChbz
z;U|udkN2Gj`W)66f|~I4eF&B=?RxZtswE7aqpQ__HOw`G%q3-xy(DIYEI5QkN;LYp
zbp+1@b_5@wL@xt>C0Q{U9PeBvp!~lTb-lMa=y1TnL^|B3Pu!xO8T2XpOOeY!ft2yf
zp_O+P9V3qljOv=44zI5Gi_MiiuOJH9GTl4br7hZVG_DgKjQegiw#++7Fmpr%_<an_
zeDHt+E}IU$+O6SKK%vD}P(fJH1GP-yO-VHL9D0)i!VVy)Pz2B_30=z!(k*3<c+;rT
zfv=!UpE*9rDkBo9$Dk|mGa1;BF=ANlX6>yOVBi&%+Y)H<IS$Op+Z6nB6>`53G5|V0
z&pR})9LI=`;Bhc<O|aG705sl9Bjt9ic0+}%8B8yPoj-`}TD$=OBey3<0A0Ne=q#Iv
z3TQ<qk9xhhF|{(`T=r&Mv7iHNOqN`?rZyIZk{qZ^aHwz@1!E=|<#*>DB<jCeh9K|6
zX*6E0r`lHZY|yR~8GOt@%UmT%D6{Mt5=z8MG8s{fv9gCVmM!bCu5Z<wZiw$7iT`4s
z{>uS$BOSVfXv2kE$ZI6DaOgE`0<#X4M2KP!)wH(?8k~bPAa(MlRU_TTa?mI9SrdX;
zGwI9GYdL|LLV>J*%A@O@G!7Lrjgg$!p{S|<ncO32qWFl^Md_F2#To-Yt628JhOD0C
z16ztNEYYmsw(JMKidlR#LW|2rAbc`K3r-(vOJ4oY2Rc*_Ob#E;2PQyXLd;Ko{UneC
zeB$VslYHIBt9@4AZ|BEHDiQxLe`LZu{c^^QjTWF!?^KFi#%7+Y=<c;IfU9U)KlQ2D
zZ@jxXJtf5?2$;vq7_5kWq}$Yfue07aOc@+GpL!QD=dF=(7KE7hsW20b9on2&v=!`$
z>bq55;EY6S@)Yxlb`g>Iz8D`z|AJnUE&0SA3e@wrsN<=DnKb$W_PR~Oq_#~h5~>pG
zQ(@3$?HwXtFXd_*b$sJR)5Wrn50Yz`FK;ey3|Vd_S{ht4A|3iEZf3RHc{VoFIO7gI
z9cj=OyvSE<m-bB&o${fxxT;|6YcUu5aRd?VZ9Uwue(msDKo@mp9qa4tvRUkg^rGlu
zd+3<jI}e?$@gz7Dni}{4i4>&;meHqCGXj(vy}R1jbEO}DqJ#km471Q2)L%Uy25U%1
zpdjPh3#b%$pbkQdhRmPWmo(2Sy6})wjCv>Riujv`ii{5}XQ^ga13NqeG9Bu)N12B|
z@`N)FD=r~dlDo0U>5^#(NicoV-jO8{VnC8Ns-a9qHlW!Evoi+<yH*$Y<(vI`z_jD@
zt3sP{kQtS{=6+MpELj8G=)=nA*ySqGS9FpCV29W}`>s?+?yuE>X4g$symfxt>+qtF
z!<fVoz2F6rk-d^X#=PG4t@BCgdCB|`m7xZ!k(b$fm{RW-xWL{rl~;n6kT%u#&)ei0
zze--~yXs<E;@n#HnQj!<f9=)ZmXHdQ*U6IBvm}O->#HD03*BvVE*Yfz;pZ8OJ#0>A
z{HBgrZWxqmE*M`<bj>mkg1l*KM^@@ULK-||S16liRR&4f{u5q62BJsQw2L4E+g!(b
z78|O}tSf38w_)ku-=rD?agIr;Vbq`cjmf~(R87pFBEhTg@C8!iPTTstT_V4O4??Hh
zZjcdJDgt_PAp2{Uc<+J^{%KXwAEI2%*=+SbA>yCDjwTQjH?xCH(1Lm{Ti9hAqE|hf
zA-4zzEciH-j#T$n2D_QR3=4pwMv(>xe+%lu2s4m#hQZL;@a;r`CW5C(mUN{-L023W
z3A9+wL-JEseiHBls6*}oFg&0<HefJwQeZ56`qhJ9?jO0WDRsxlexRGg)z{)@0e)d2
z)oOoAcO(SUsEf&nU4$d4C@hG{*q~ImoLs)#+9FpZ=dSR0jg<SC@&n23wiwP2&cFUv
zFYxV;1LhoKo6NC#I47d$`Y&I|jq%7Bm`2mn$cr+2HQ66=zAoDL?78df#2l?<*u{N+
z?lYIOk59J<A50JVg?cW_>Vl4(Lw#q?=PY8kUxp{jlT-__%{iN=@f@2dkDnw{dPypH
z^S@3|f|rO7Qn=>7#ryCamER}3D0mUm`3@;nQp6s%dds)`?H`NPC(gWCi9%s%1WeeP
z5hW*){$#j#5fm0ir(98iP69$X(A`&oo37{ni~IP8BlG3np@tGBccZbG&(e4;xvQ|S
z5c$mhPH&>T>JXIr1agIYCDZUh%3S3;-h8Qte7%~j_OI8>DE=ukcP4&CZ44D!e*tx8
zO<~_?&peqw;%IB#)gkjBN?2ja^jU)pQ~2YDESO*Rd;M7B`_<-y-FXvUoTX(%?y-b;
z``4Jl+hE;eE22(k>sn}fgZK7&-rE|VN`u1W6jJuTH}YdxH25vY0)6tRI{t<vRc3J4
z&o>9-a;RTq&-(hhpyp*B@JT80H5d0&OJ&@*!J~Zmx@v_=+UXXlN&-qtaKP+i*@UwA
zt>ewc)~R!CdPa=qG;W-}Jg6HvqDaInmLwH|sCrAqwXV24x_t0;9XJ=0CW4y9Zfc;*
z;uUt=F08<+$yekg)13j3cAG9d)|bMGB?O74x0QTh*EsJd!H?d&@wPY^>bU$zT{%^n
zu|R1>_VAHWTjk6O1uNz`wpS<oavJ_b!B>20MX_^aF!pD!@sFmLH#ck1f-cU^LEy46
z81DJaFe&bQ#Dr7b(%w_g&sT|cRnTwD$nTq}{H2DW<85)R+0k;Ka+%=!FznFgi@Uwi
z+C4~om{zVrJfVFHw%#!Lk%1}BGuIjz?cC(ZqvuwqMm5s6L{XC{phbpn<Lb<gk=<n-
z7+5w62@CSyT$u~B8UOX<yCYz}m5dV!+++e@<JJnjH~0Kg+GdMLlhxsX>#9uNaBIf7
z({74|*>&Io<ZlHYlBwOmj*g(q<J%$w84YV_Go&OWNW~Cc`jfdiz+(Buu?Yr!`>_7(
z2$!lT<yr$m^l9=+yuStSTASVxuZ1wFtuhhNUgPV;t*=}8Yo3dVjk%3=RifT)rI{#w
zxylZAY2wy3#zydpATD|n%ilTrNj71Afj5#6)|o>y_f0W{O1D=XcqmE5#sx7F>=u!o
z<?HQpfxf%M)H~mjjJ)Yj?pZ+>njsZ|o|FR~da~h;hy7C6%&$uh6ewj~I-j$@^jN5r
z^)L7K4^>#bx=Zy(j@oh#%bjQ(fkbt84Q>qhN+SxRq1{Kw#of_$0!oo}lXXq91PJFh
z3`vykza*WK?0`FwM@KOPsmnpkiScn7ZJjs<u|$Rho8Th;2aCtUuK8_znNQx8w$+^?
ztv3yL^*ydU_VM#)_<v`_EbG{~XMmo)`LH*C4$Bzbpm{bH=HRfm2whuU^ecF6Fta+3
z-p+{kw3nsh==koDa`<?IKbg3qZ6S$LKJc?J`24r42U}oxU`#CnZc*noPnruMjCtBZ
zj2s~)yq(8SsHIeP{Zj7?YMggGsQKopj3G7Zmm~?vF^d0zG}Nd~x-*1^>jdG-Hj_Wx
znlR0GYTJSlg=(R*As+V>os!qe5On+}A_xLZ<AMVnZK(#3q`<Qbcue4~s(cnCe{oPb
zgtigLN?^^28WqvJXQ+JT)t!m91K!7enSbhf{n|xnjCX^;=%CeW6R^|R8rl5hKtYJS
z&$v3KXcA-WyHJg^oH=0|-!Yr8loI2uHgGnOfrGEfpQz)<bXF9#c|Sl$(((3-AU;06
zK%-)CFj83vy1d*j2)~N`AME+B`!u6k@}VtyJ;A_GT@VfEa2B%iZK@d#3RwMWx@j(k
zcY=qk%#XTmS{}>23UxeGb2ayrf&979lYMusv#&TNlgH=(&d^CVQ8A5iX^%HinIX$F
zpFg`!Qxc1Hjq`G{&rq@$DxdG)61ANv;I$a-@N;1*X;PVwgKO7EPk@0Ugf$GNH(iNB
zBI8la>>x%d0zpTu$f4UKTi+>f@c-O~g|MB{b-x&U`W_e5EF|fKfU>cGl8>|d%52A6
z{AInQ%erad1RDiT0)fya*|_nTXMP}8&xsd*>8sVLvp|FI{Cm>@o51iYNiD(1*G207
z3Q0;zN|nefkwX2SAoxmM^L9I5Utb=|P_L8VTwTmiB8H$}J+4;RUu||L#Oq{mYjBlJ
zk&sf+3pF4_79-$l#4Tds_2PK<KL?B@x568)NUG~(HUy!k6&aHS943X}GnkO+I#eY2
zikLc19dTp9Tja#60D+W3QUI^~?~LcFkOD4ZroO^-2>NlFwvhCei3{K6+<Rh~a$BtX
z^LKeD9~E?LygkQSSKOKtn9ny!(A#vPrh4s4x6oFH-2KZ%<po(Y{^*FZMxA^mv=gTM
zVq5pJ9s5YlNYyeW|Fnb?;t>=S9M+AJ>D(eWx~3&d`IeI)QVecdxg|Uso<77dDr#R>
z@W~o6k`J*g&hYiN#ax2&m#4)Nr<J#y+833{WhGga7JMM;rv{*$MMSV`l-|AIHPgQT
zT0Zi+Z9=RI47wTMYyDR&(KOw(7!(^o_fAs>N5ySY=Mtw^E-%gvM;H{>t2(872tMNU
zeoQMRy*@kX4zIUi<~dkO_G*pj#$bywUAxOi?GmcxMpUVtv;w8c-`36g13-nvS5PSM
zNElgJZjs(g=`6R!1MztrdgTu#V9NJJcLW!O2X2t7JG8nwKOh@Dy`nrq2MQg0<$<<I
zT7va+0T3rA(WT4L(}5b8*TkQ@qg_1J|9<PIM)@D0<G<4s|NEc+cSrs2j{4tI@c+sw
eXy|8S?orqN#o?5Fl<hCTFO9ppcZzOXJ^eo!+Gz;@

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/branching_workflow_diagram.png b/docs/0.10.3/html/_static/images/branching_workflow_diagram.png
new file mode 100644
index 0000000000000000000000000000000000000000..60a9515d0f94ba3cc08d7bc506020263fc6456b5
GIT binary patch
literal 131890
zcmeEP2O!mJ|3|VnWv`?(aE`-4vUf^EDG3M1-p3x9*((u60}U-Dr9;RHm60+co2*0`
zS&jem;~Yu4xBI@`|9iXlzHb-jx1Qhcc|Ol~e7>LOcfz$aRjDc1C<q7$sMXb!_7M=Q
z@gg7~IzmPQwwOh)RRF&TG5b^%2(oH9h6o6f$z7BWy4ZP`TiK!s_z{YWfANdJEFCZ|
z{0Jp}5fPN5qmY>u%EB3ChY_+zyMRq#znz1bmAMt#Z1ETom<U1;h7^Q}>%ztP5%OY4
z@B=0x1cM>;7mr6-pzU!N+~eS7WowJ#7f}%tf`Lm3>_M4Y*}FJkEcp=%;Iq2D3)&X^
z2Ajdpy*l8>LGT|OW&{^A65j&;ly`KrMeCtWG_1hgsE8rNg%C)vSwKTgch7Eq5k>H~
zt(6TL{8B}m+BiU`C|Wu@*nur7aJZ-t4EjIVsDm;`Ia@8e1oUKR7nH@~Q+e$*(MCEL
z8L5bA>&xq!S<4>~G+%rgH?%Xx%E2D@@Ngl7koe*b7f(m@;#M=Xo0TbOP=p_$%ny?X
z7l!^J6meY%KG>tc4J~xB7U&&8_~I3;a9s*BH&+nVgY9?Rui~*w#nVaN4Sitc)$rG}
z^H6n0Ia=;<Fk9$2Gmpi~!bK&(13}MZ=84;akPutkV&RN$2-hyOLC4AqcSmq=x6p|e
zu2yDf4DRH`O)d@&wk}qVUvD&Zu(wB>;szLZMU=C%gZtNqnLF6x9uIenBY5(!t`2R`
zF-6&ayH(H1%mp9>f~2Sj?kS+7)zDTJmbjLY;<z1lDEzUw2f<jP%pBYoPhZ%yd{h?u
z5#O864i4aQ%LZ-vZu~)Z9*SsN2&MRL#I*y!^vBO#>I~<lN%G%ZPF+(^#1VFI*Itx1
zY_FY$$$mWzB|#*vXWUS>uDH%!98ZjkC%(6x9bE0r7UncSs)D<vl?z(O5d~0;P;v(V
z1KTWJ>}<g&IQSEo3|mD9TL)+G+1|k(90VpWgc(QFm&d?88JI6FXgn&Rqkg-4zjU%H
z8q8W3XHRfh-031>xURuL8iD)h{skUz7;c;8GH4+1kVfGkX|Z%^=%#;U+`uuoVgK#h
zhs@{-bgVigaLL6E`_+d8j{Myrk@z)6MD%YmBH}QBX$aQ1Ng^V#_;J}Jk-$CbS91hE
zkbj{$f^)3D`W!*vyY~BL>lc|La2%F?^$`(8;vVGtb3_F43(z$BYLfg<9f>6pV~bW(
z+AHRau-IpcJfL(4p@k0}zZwywEeK*1%pE|~Edu-E<B?9TP;|4fLlCnN??JIC9Oel8
zD{$cW{opSP=r}u+l|A?yWe0ix#h(_If>7LrS=wxGf`Rse%lx!WAbMW9)?%w*i{O9T
z@?xK098utrR_T+4fJYGQh9VxQR~(%eqneeS0&b081mPjM*kcPF4Pt}E>n?U1IAUS*
zPibqh1D1Mu@yg#exZ<$Y2E!bUa&dKrhE8ScQvWVpc(pVBJ?f`p`@fkd7?7M=*;_#4
zC-hesnxBaBl{4z6Or4b%{btrcnE%cM{(<@QR~Ul-aMn7bZP6$U#E3wa0N(|R{sM2q
zAlLWBb%=lz4sr><lNT;}%s)2?{DF)ExoQ#!ItzNJ|4Dqis_PbAyrHjL_lj;u+ndQl
zR0_zmO>I#ajFl-Egk_2N*ID~_yB}@#71i?FDJ<m50S5pQ*<~5{vg`q$gf9<_@Y?{g
zP%c((5NiN#22Td9l6C*cEqu8VEeAjng1f@;00?p1SmMGr$rVG3ad34uMdMC_dK4i2
zhiHc%ZV?V0xg1R{C}#__%YV=$0x*_<T3G7p-|iUP(F+X2?;ZIK5wR)=e}EeLV<244
z4FMBuE@6r`g;0xeadxml<5?rHM@2;f1}5rnP)C0=*oxqBii0gaEyP=-KOeUE8^E{t
z%c2&<;Lz;**K`6i^!<O34gVd}`Hdm_^Fav5JBwc)g+IWC{4v}4k8$9Vh{Z?6SwcMh
zg-67n0Kye5!dEgmzpN?z0owXs5H5tXD^20=LE`@bg`$6#FcOZh_WeeQ@sGjq-#Bu?
zv9IF8{|9j-K5+bwz5Zp5CmiR8eqJEC0=94y6dVm|-ruG_Fc?x<9;Bt;ubltQ(w~)C
z`!{jm&$qW?crTB`?Ke&Sy1@PE<k1S?!eA1ph3x#Byd4G;6aPo$?cbmXFBSOn!qt@~
z9=<X{{uO|`y6|O{%zcr9HUV7pLfuip8D(#3xscdGg+&zyXB+TK$Hf`tg0}En##k?%
zv3SjI>FQ-n>DMsEiI$dQ9=8c)Yh?k6`%Hlx3k~#53Xp!u3aHZLaXaj+%*-Is)T&(g
z5Av};Q4@uL;TSxei4&B>eO|`cF6pM0Q?_{V6duI?drcHzbiN^VRzL#}0%rgSb09wh
z<OdSAP^X5-G#JX>Y;n_4wRmB($pWAjYG*KafF^TWz^H#IeEij6<m})ANc9EDsR&@c
ze<Nb}iMSFJmlVRWY&c|zz;K_JAqz-bgz!?fzc#qwt2xXS=vpMFMPR$pK(P#vgxd{Z
zhOde(ZUKz_GR!P)a|MFXuaB|?>f&W3G`x_&#KGAN?JQ`zD4&F+25u;40YSm#+qWzX
zG7KuZ3E~VAbf7KT94f+rhHy%bl}&zE^0EBli~5G|HTvb!Fx)MIO3s&!2y=5uNd$<R
zzie83>b+o&fg;nFS@l&paY0g{XbCB@U7<pbJsM0v*y6kdf0zS-Hu$xCE-&>o)Q$hM
zj#aQlnc6INn4*K7ot2BAE!u5CXl-S0>WsF7G`k`&2OtfHp}>Fm2m0eT|DO)^s$+ye
zNJ^T6ds;b03XuHww?=3W8dR~sb3l@O@C%FwUUaZvN52dcPE4{;L56ny@dy5KME)hG
z0Ssnp3RRg`cCo568V!l2RxPS8%z~w^TS5yA-`SAzX|bahTpNTa4DebY+5l5zQN9EI
zg7)D=SzqKk00*`}gb#TM93H>uePAw@C<vzRK(!5ixdI74(8!~0K_~^YfW~>DeVp10
zf8#$q?fz5beu>ubeP{yan#Do{wcI*d*;~0-p@8!IE4#P4agqf8TXj^RwFloB6x`<T
zN>2XBUE%E1!Z?GGTpCaO0OMy9C`aRmaG}3}--gzd7(vTV@H-Yl;YB#$PhSdjmf*FT
z?#yI0fAzz|`4^v;us<>!tAj+`90nHHfPP-#M73O<!P27d!DL}f_u+*zt9h)&X#`DL
zFlt{UHcJD#Fw(f~-y7*4a3H|uE{`=tKzm=N5?-hC4@i9AVqa@`5lCDmWLbDBicg!D
z$ENU=r2GFq^ATN*Jzt#U-?dB20!U{I69M3hptW!KU$_Vo3c>`<QFd0q*e@Vh4Q=a&
zhVt3P2y<aS4n9zXY46}{hqJXHzXIoiFwqJHeuLx}Cm&t7%y*A7MM0~>R=t!vZbc5X
zQxr!afsob(q}dC?TPQ#K=1d1?M@y7F?vfCX3Qqp6$64HC1=cY^>kXlH@Y3eRJ%B;5
z$AGla4&M%L<r46WV1d}zjetDS?CaZFx|X0j+QbHgf(!St$SVlqK=)OftD7olutdbb
zfJ4Kz{Ey{9zZu%p0ni=5CkVP&TAA9|qcOPKTkZ}QpK95$%SQ4yk6VVFuZ{zWF^Cj!
zgMjZGGb@avEeeMpD|=fjutNmKYh~x?;OqjhvBEQd9jh;90n02D-s&zQ@ApOMUtH#b
zE_{XK#05D<3+pMr_MAAs{>2-9b){u`@}F|a#pr3prGQ(v!mR4ne>)a|?s=6i`vb1|
zM|*dfxBEJjSlzAs1>~PgCLPar;jQ^Hv%kcaE;sv7U=2OhUx)7!1GfX+(Vtd)`o8uK
z%HdU@;uElx&YlMW-wE+b3m*<aAB4p4AC(}@<<d?isMmj!f?6b|!BODZRwaPNa3#0D
zS#?WfMX70t!N=q6=U2Co5;#r^Hx<5V@|P_V;4!jnW<cxqaZ%DgGTaphX~lxIzzsG6
z3iTlCvCQs?;_$HC?EUp<ez6}|*7?VzB8wfd%CdvMnT-(_#o10g21Ib5|2!M>O_TVk
ziEr}PwK4yyHzAYqd;fkwf3y^C;W6>^UEPvv!@Ih_jfNO+)|a`uMRT^y%l$EHxV)$h
zmRbC(K>D(72wxk=p$IOHizxm);EJtK&Mhq~$2a*a*w0lL4&me7KMlCw&tAZ?p?}uO
zA;e0lGCt|Wqv+>b+;5u1uerlF`6~c-^#t^%E9O^N+<&EWOBVNc&EL-l?%yI*SQWU)
zKb<c!Hy2rbt)>~$1PQ&^576&W&iVIGwUBsohYvXMl_b3R`xAhR_o(<L@u360$zRsu
zB5}OLSE0gUdF#Kf58!yA#jAZG`_;gkZh&;u%3~SBz1SAMJ^|r)S&R)8a{#{o0fkd>
zIL?mXaE8G1(94)4JX!wNW|EMrF-iZHO#!g~Et~$@Wz+9g{eQHu_dWf|_mxK9)JvCH
z&aZ2OKgn{Vg)G2(j9_2x6lcm|f`Ut$nMDy4D3Re_x(kZ`kVI-xaS3ELi>G{1AbxQG
z%kKVbyZ@8!Ue6NJ`2mTSqpgGIqO=?ZJ}(Mem!1i#@w-Fia(4$;NP-3fqER5d1Alxu
zc=3rArR$3>9_;=~LiFV+mo$TmPXV+*t3BMm^<$_9SG>Un_wE>^_}4`<K@iritfMT|
zR+hUzd_ahg#{T!JA@P6RAN2O{e^o;O?F(9@WlEr5+x;yXwPoS?A5{%4sijvaa{h>3
z=*u;}e*fejzT|IMX?!xWWX`|#w5#VRe*qQFl7+<O5Q6wJ#<Cn@sVubIisBQCzmOIE
z>2*M~hn35Mq-Ie?13n!BdKl=v>Cm1pf*R-p)PKLJr&;6~enU@#_X2;jS~mhOT)-i0
zrThK){0jn4@!(p-LmCg&UzUCm|LKJH7lb2W5;$B#7zcqWh^2lD=g^s2Ko$w!><_K3
z{c-HCUV~Z;-Tr3K7hSQWcV(^n=R;p?#bm=Xk-t3j@l*OM=5d8r{bSYjFVL67TXYEd
zf)Mn<*WdhxiC+!+U*wlU(0YciB$$#w-iO=p#b-cr%_XO?aQ081O}HHN`wC7x?e;gD
zc4COHSJLAbW#A{lpD^w4W!%4;$C1G4(th5wTTx;)|F=?we;MxY);oVbZhyBp_8*5z
zP|O7}H{hkmV8zK7vA!ep0$|Ldw+HFe553Iy|MAVbtCnl=>g=y3!B1izzgo)zbqId#
z%fceV-_LTtNl91u#D7jTY~^~Ar7w_Lp2_0v^zuv=A2Q+H!~dQS#DBlrzkvHIzpw{<
zW#OV7!#RC8{<~<F0}c<azc}DldkynXw{SmcY2828!ikA}9oOP1xUcYrJLE5pw?C1p
z6M??GbRm0#(mA*g47}0wk7jd=^LiC=)M5w*t_zO%2N4-7L(@N>!&}+nFZr5hq^cDh
z<0)ceuWzehF0#)7ZsMi9>i2xDFlm2`$oMW;|7L0Z??U3|=SSZ(iKn6PvEqN6AN@b(
zG^?TzAPxfER}toag~Bfc7@q5b%<rGM{urN@{R{IS%%kx+`8VGsA&M8M;v?B#v0}0+
z%zrw4^-nRj-@Gb!B_w{nvHhmWmF1FO*4VD5n*P;{EiSM4yBph;4*uuEToj+S;f(FV
ztDYb<{PHoyPfzOpF~)YK|HXgCL*nP7@ORg9{j$dPr)wnsDJWd|;v2l3`tv}zvc;uz
z3*Y1~3qri^;+M{^aHR0x+~xoIF#pEm!{I<sxR8JU`aoapg_r+bYzu^Ci=s=3McoYe
zyvXFj!E2HJ6ef4|s_)+u{wtSFEPbT}9*RFd*7&B$l|lBeYv%vu7ZypS-~PGUtB3F&
z5|;)2`Br!-xcE+szb*)WI=%2uiFgrkT*``r1OgArKhG9^(<EMzf^YKIg&{7a`FSDl
zKLv)rn+E-SmyE#Ex!*(nuK+_EZG@QZ9uJrz0;AyJ<gBV|>3ZnTDzC0cf>wER3PPD5
z2E8@>xBjhI$+}Fqf#<rH>o)M)z#?Su25~p=Rb`OuV8xrxmaEl%<Q5ih@CQ8dlE1`T
zrk{_(mB2^*G-HT=%D<-kbfNg`>;T?u^6iM>3&YMRN6S49X5cG|mLIdQ*USoK;fw<B
zzF$Bb?gXH#1^|J!Y`fzhOF+OwpspmZ>tQ%@hWy2To%xC+cusXr-3<EVJH$nKwPU-l
zM3J8oQ8q`{YN<WmF0x-hk$x*Z1I4*5GG=EjP7V2eJo(w{joa%~_cy+^EfyYQu1Cfi
zUwXecEGrC|XnTFMDX0Imm`&66jE%&>{&aLi3UXv*guFb9AH;%+4K{d*Jx{U@Te(Z2
zcmq%R<pA7)%g)M#6Dv(xUsr78z+dId&akr;-?X7{zJiXf{#rK8e$2Nwu)&LM&6m@0
z_YlCQD5rF@Vux-G{nxh(jtm>LqWW_G_*1Q^2<Z#iUTcY|l92_ps&vK5eu8oPybU-d
zW^?k8X|$O2{cP(qOHUZb299ocI;0F9V4N3b`vUg-iq7R0u0w7u=$cRSV-7+EZxx<r
zYG>>wC>TtStRA|2&i<^=xOz^z+skzqt6$pRui<bkCdBmJ?eKbiO3%nwOq&&9Q7am`
z{dQQ3#W~;Vx7}qEMe~!-_onzxw>SIDbcepr^ZPvC+5c3LR&4V*pW7clA8~I-7kwDl
zz*NI4H(p&sD?8Po)1NnRHpe&j!}ycUM~#HPJZ0iB|1d-JRH!u{u{8;yn(9F9nVJKK
z?a;_hAI!u=oooszmq)SBr`Z9L^gEqL=h4raFm=++lcVh~cYd1bz2rI3ue@cV>9B(s
zDW^+Zi)BW1_4>oM+DQWu+p;VLgw^NXRdUy)M+#ZHb^5v^tQ#^@Z>Dzz^fp}4sgWE=
zHC=Dy<D`*Xa$?%U?}^~OJ7&=qCoUmsCCd7zM{?>~eG--iHDFi;3|s#E-n-01>mvR6
zypoQ%of>M%xqM?FTD-$@U8aoh+`;k2LT~qpN1M+jA8~7W_?E+(<!U47Gds|ef;lbb
zDTi){c_GcJ=rEwIg9@1GcK5?Q9_93^$z?QB)&0>@e6Mz=O4P^SES&Cm$>H<1<fMmo
z)0WGrCgJ_U4?dX0$jn({dcrsNm&c5Edh|x8Ql#*C_4zg(vZy&;SIO;XyZ>$_mv{Ac
zY**kV)5@6so=9ONrQn^X9CjfG1#_xJT$RS2X$XtO%FJc9SY19-t-kq;Zql^WSb=Gi
z0cKCm(4~~q%!VE%pL{0=>qGKK@?U2icomfS@ogFH`_K0}kKTWH7yaa9|4WAlcW2(-
zd#))}QzSlCFmamG?L|qdXa6bl);m`HFHB>_60+aqzC2wLM4Gbhz`>G}p8+mTCF&Wr
za2%cK&K<qbZ0KDBS|}?Rf4pt|lO&^~E!E<kKDn|yQFg6&vS-0apUb655Hqh%j^Mm@
zH5or`^p!yWulL?>$3V2sAM`(6s9kPL1p^{sGua~m69@HFo%05+yc@4wza7E9Esjr(
z<bmScD7KeI<AoYlO#!Kf-HNntdvVp~19g1pRpp+KTXZfp6o%$Yc#fORvp#;YDaE!&
z`KsN^T=Qoa)cfbh9!wt{4eO|t8nbP^Yoj;4d;a~Knyc5c^!1pB)jw*r^PB-UJ;7o3
z3H0)C7?=GCy2Gu3*M>|Y1rH=mk3INoe^TFiOC;%R&v4$y_b*>^hcz_n8QH0GoXbEO
zdcI0r&zv+ED*gUNS-dz*L77ALXu%EU;jO`MYQ#J5lwbGz{ORP3yo4w12dlC(?j2S~
zq?(QVd?Q`&a7zfQJrK(4izi`j-z)pEfkADq<!&KS$i=I8Q+B?DhbO(+IA5Q79Z}1M
zt}w#_T{4oZ>>HoZOV>V4!#WvKH#(G2i;LRaxO-A^yoyh-Tb{L-idBjBo-&iT+MdoL
z-<mLbzUw`ArkV~Pem2z=MBDm7GNsZJnXtVBGko}_VIkGk7JyHi@K}upAK#~V4qZ$d
z@#B@GQ&8Iwp1(c2oWZqjM>?|u`_*-CY?`j0vTD4Vctf0`$N7n%1^ElmXQqie!ZK|p
z+Awu?odF#3mu8q5@}KS6R#T7at%%Nf%=S1%gYLR2muLA^U+v~S0}PKbbfQeP-lKVy
z@yJ^Bz}Eq!T$bS+7m&mG>b`o1?Zh-Bc%Q`ObGo<He|jn#cWA&mf=Gj_q4&+bP9*0J
z7Z{jh=l0K5#Bkcw(FRfy?^9oL5LGn5P>$R>pssLUp0_Kk1K`dfoH2q)C;&St8Q&E~
zPE0mMuJ@ofR<?tRL&6bxJzXib(@C<AwT)DAO#JhQiNkB39xonzQtQg-de!xHQ$Mgc
zu+6ECfv!)K)?utFqFBwR8ug~%AD3D)AmgHR^YA_Urge=MH|;rna9WG$uH_LeGTz;E
z>Ssd-^N_0Ktg~`+JkA=zg)X)4h~5QOcQ}?&pJeI@X}xJAD_kF$@1^jVr!Eeb<fBCU
zjPg+Q=Bl=}%m&8$RjWjXd3;0C2gA57+}21E%9Wv&{cwxFI`ibAwVhU4Cw51#!+DuF
zQbKxZYFgkGb_M#6MRA#tKI^Rt<?}LNh1KnxIGAX6v+(_Gi)u&i0$`$R&dUdx>r5JG
zB?{EPG!CNP{ru7%!FTL1WB*e!zWKbvn>SW$2^cLj0I<=1ydh0rK9@&q<1le}B%^dE
zt8}wU6^%uY8aAWn_FTOx_o0WB=>x4JVO+$t$_#B1o$ihM^=g`gvC8Rkfzj7CTd-M4
z)r(u@?5$Tkq(r_^GU>^2KGoB%%}1KA=hW^nRE`xmzf(h2{sQ?ZkxZ(1a6{Upyfg3V
z1Pz&(LEwPgPu`JYZdIg_EbqDUB?vH!1WqN_<C-Y%Q)4<uCE9%itn&4W-6hA46KsmR
zAW>gN&4{L%R;s=4<Q6rc-K&+6UXREChdoRrz{-rf>++LvSv+;rjw(uu98{LtG#Pa^
zc2M4>O;WK<o4i`YWl)RVck-0Q*;5%c^_eNesU?E(NX9|p+pqSC8j<nJAK=M}Q)xix
zO1J50KNX;DOh6pfPA5I|ii7K_0CCKCYI>;Di08l=3r*=M-D|}PsU?g()lyxLJ4<4B
zC>W5(BT%Kp^Y{6@8k+OM$M3fx*{c)u6pt;09_LG;XyX=*wrjB54W78yT!ogzk0t8o
zffL_;$SLa>9oq&ahU{@*E$&)OI3C(aKwhG%RYdkIa2x7_y;K__yf1t!vu`X9KQ^@D
zh<FB8QRJLQPq<f5c3(t3`SDiZSp`viY1nqZ&mRx0i@GOyw2){QS8xQv?wwj<+>x;L
z!O7(<N^N_cV)@fIzj1XR?q++Or%>DI6cS6E{krw;wU1{W+%FcT6C=8O$FjckC`kq7
z_FMkZF%b&tJ&3skL~vgyrNGtAX0#?ly2@u=gE<rT*{9qU$!Mejumr9)6A7ZPt2Zij
zjd-6D(0Pm%PE)x*qrWYy9w^}46eG8(4WU;XY_rL=+m<cZHY=}xtG+8wA@M0*0*#$U
zM6He$LTo!X>BG)3?n!vf*c0wE%fU~_yoaG4;neO@$Ecj}T9C&Fo5pa9#932RGeMWZ
zdTY}2c>}FTl0XrLrC4kniVO)iK(|9jR6_P)s@dp(_Oa?bwX}lWN_%y8*Y3}kqR=)E
zKYw)@++qRT-X~vEf*wO|Ki^w$5_{mw^ZoRkcR+xGoS`7UrzsRL5F_8FoA@Q97zd_W
zkE?C})urHVp%*|Hd)^Ghf{9f6=<SR5fe!`2xdOCA8@yhX9JxqA2(`96BHa}NZsXDU
z{T0g&UyO+Z{%vZ>?*H3?OQ2Z=7Frj{K7f#Uzy3t)wf6-RwTHc<_eBQF9S3%28$;Y<
zm8EX9WC0M}uPGY|ei&tLN(=?qdo>kq{bg3@!T?eepG!hNn6Ik8;st2;^i5|YUjpvB
zC^@qF`Mwi-tAW=t{`7IoFX=jeL+?XoBheIxBF{&Ud3w(soqP0Q`oU+h&$D%YyYw|r
zS1V6GJAcWYjRIVp`r_qA&81mzUVto^u25<eTeka@$U_6ChwGHLJWqNA9Jswo42M+~
z2sq;t<txtleag#wSHWHbV&DS_&Zos4>?>lq9r}Si51e4E-^QYV)+z(f*628J)oN)b
z$-Se;e*QFH!xy{L<kFrL^SSqLY>H<4*)hXcF0+w!v09{}-oJE^?G5XAm1JZuR5W9P
zd2_e<bm9U1M+UBq`^``6LBa)&g82Np=iJccg$yU_!6&brzIct(9fjU0haCzVw}T+P
zzdywR`TFLAB36WXHOK7pt7oOXPv_dbgu?8!tm7a9x*<3Z_9MA{Cy%r4^tknLq>3+A
zlvB!06pDN$d&2mtL5Oa*!+q4YR(jgt<w;9#E)aOP4BvWT5_u@z{iWT#Qv+wcYhA`V
z+N+b{Wl*wr$>_mRa}blC#1_6SrOd646w0r18E$w)=>x@k$s@Th?agQ2cK2U6p(&D~
z5-oD=M(*i{Rv?KHt&^F*eq&65Qqb%)($3ng%}I3v3}@@ygr{iu;5t8_ZI!L^AZ~Y?
z+b8%X-4&4|*x>e5p7d0Tef}eclOWQpYdbpsrXS=2@FV#y*=A(71Jj#t92VF3Fq;2b
zXaXb^hvL^f+VT2&PBj=kD^1ytE*dn=2TiGSpiD!NR=Q#LY0*b*z^67HVNiZ+^m(qC
zWA<jz+^~5NHS$(g3dj#0cuv%a3!Vz*7%iF~Jt=UUyFAvJXCLq|XKT1k$R&esak@5W
zA2@`0a|n#qo>(qv^J`_~n^TS7zc8hp7=I$n-XPJM1Mc)?Zr*zizYp(7j?v$)?DS|#
zGOtawViUKwm6;zwMAo5`j+noss1KfLcklGgr5YxH+c#&O;rI9ZIF-bos3CYaA#MAx
z;(g^w5tg@G)2-=&H*d|-dAR7^0eKPN%tKJ`{kDYkhI7aUckuggsS2B@W!(N&9zD8K
zP(CHI2F?qxfa(W{L3RXZ`5;I?Z_VDZZ*OHtc5OOT$>Grza8k}5#O6p^qfc~YHd%QU
zsXpV6`V(|Cv&$)-Ron;TmMUli@>h5z2PSG3_^KKxpx>|9kaz87QEU80U92+mkp>2Z
zX0A5TURQsfeSX9DyF=LZ8)HO4@;cFKbMsIsc{aaMEr0s%Pk>U8yl)Ps0z&rlhn$Z-
z!wpvsu<|>Qy#>Q!2FMxn30IG_o&a_;hc>KJZu^PNdvonn>2-m_Ee2lmtV+l-=f?mZ
z9y2hel{PmyWZDQ%(!XnsZj?A%a)wcSk6MaGT(*W#UU@wG(a;gWg14pprIf;=Hy?b;
zXN8*tyPgQnlrQy}?F2EQc}@*7Ct^KChf^h|#r^`ZW`mq8jxd(t4JEof);nWwheq`8
zJF#ic^%RTAou~pDZ1T9wWA@Rrnl}{deL%=wQ^D?F8_sHfJ>l+5Pb4XQVYX@I=`vc`
zw)|TPa@u^nPIQO$NQ5%t^uxHwpG6G21IwY$@UcN>FaMyV^j2cF^^j${_MlP!i)E4{
zPFETOoqJnbnAZ&}=NvPVimA=+qaH7x6;WfC6+pdtc~87f_H%)>H_4TNs&10-ZT!2|
z4|hU2$;3;Wn}yYgx}Ci>+#=-`bmhWDGo@#*uuC|e-`~vRBlYIa327-c$qS!>`7|$C
z%Pb0J)fHFCW2y2ydInC)*M=q2D?N)nIJH`Myo3uU;}3!Kvxaf+PE`9=USDirp!~k{
z&~ei6!(KxdZ@k_*+*TgWcq9EDNCHxZo?m|HSF*mj9%<Kla6_2))(fmA(UF^n&&Pu?
zI|@QIQIREALdY9OK&ZBE7pq0R8XY2i-%%(uuWAQr-+_-krznN6#b?pIBdzzxifl-z
zSd7D2<PXhFk2$EX?|ThWgu4{n!)-*A+l>?D4CExGnCrL$UEa4?9DXHy+JiJbcwS&&
z@O`JBU(V~S`}(E9FE@qDiPW|qciyx+*;uQ|z?;X|AcO8kncGV{J$Ds{!KZ1tBfwDB
zIBLcf3u2FL;`O4tqrCo5`Bi7{vBG=Z2IrsHytsurNta>Y^NC#Y7;&Ij`E;BjO*SFg
z;2CQn@fy8Yqy%_6HiM*VC0`r>FWF3%-VA_y4Itnw*NGU-0S;^rFo)F)8r!v};X)_q
zwx(++FgO{d0%C4|r(<>>#~F>OSKPuUcJyzM_jzAJ%Kd^z7{u7q9F4EGr{1I)l~>~`
z(bbynKW!uA;O(TR%o?@1_GP!TI@cX`y}f}i9J69O)#-+^j@;MZ&f`vZn5b%|l`mbd
zO0DVs-5B6*Z%p56-Mkb6GOY`U^PY^*H(qBR@>1ZqTyHoc7;Dq7ArONNWq`W?Z<HIs
zyRjt+MA(jwnU7Bacbvr9uvKlzqi3!K55221(&*^yMe2gmL&ZMoN;fBc(-^KYgG_n&
zjZ~w-(y;<-0Lak<N0d*lC8Qs^U2J$qL3uKQ<l?eGnvDpW2Wd%-Dp1Zc>IA%h`^U?z
zl#urqQI;dIzvQT=ixQdnG(=Mq6v1}->TYuSrv<{iSXMK^^d!QntqM?UTHDB~if<&I
z-Q7XM>hp@vOX*@CjZ~Jj0D8l-P1^EFfMh{n`geQZ4G`YC*|qBf2fcX4ars`?jE*+J
zgIC<!>0h0gr_hMDIW5y`O`i4gyuFeszf<^!C{{$Z{rxuwlKAQO`F)zT@IGgfRi4Od
z(0g2%zA@4HU~k^Uac`Dzo@<`xE=_M8;G{2nJVe>3v~WZ3pt#3}Iq`a+$joEa$qw%^
z>6|A*_g~x}-gQbp*Vbxmy0>G;T#9qJzh_qfY16vbqto8+9x~TJo(tJx#)x^9s8_2(
z#v6XKU_3$+Frzh)nc4x8%E#81Yv+Nlx;M@3?5o&Xe#XDIGWK3@Zt_sFX-syrtE1of
z`|)c=yr)O)#tuM1k=>XLu{TlETh``%Q0(B^n7qUFYT?tfHll+Xqx;%yb85`5L4=(h
zU+O*@rFc=hR?&&#HMB408N|jSTduVX@TVt9_ixo+c&@u-OeY3?LGafUS7NMwI{k5w
zw>vP|=AoQ!YNrzmg{!Zy6eZ;i<~#LPgxq>dE%~Tx{_?c;VSK2g&&Tde+#SA&jJVDg
z+Z}RXPl?>XK1ZXTeV7FHhKua>*b>NXzTe<1v~^${(;v>~71hiaBT;I6-hH&KB^3}n
zO)L)p2U)#N&j95&;9JESG7oW|pO0}kl1mP2?(}2YIXe3ixYa%P-QJ8K2F|#j{m7nl
z0#nKD-f{e_XFn^%jkfx!zrJzr?2QTJOIw|0(Z@k9j*|2INd^qNCp-K;`(oN%n@>Sx
zYdoXTj)7E+?HQ~D=l*Qv$n}73gy+i8X*6X*^sgaHT_?9^AH9YF6z9QR%?3eOmP@gI
zBkkHq%HI3#WA^KE*3d{4Prh!hi{g@QjhAR55OR6|`1IYEHO~xRZM>!@tP!X6Vl;1n
z%YoaU_f6V^!7>omwlN4KWeWQ$`C_G<-gcF|k0}kJm3d*P_--&G)+@V9nn^GHMEqvo
z#~*|HUNO9?*8{<9MqxTp`ZVBBYe=?zT(cz<E0xadD>qS;ujdOU<*00<AvAh%TZm-R
zLm&H>JgIe#4@QN&yEEP4z1g!yCUV?y{>{BQH%YNk6ib)-31Q)+O2FXX;0>iO1i=-F
z#h&(Jir)MK@l-{AUJN}1$Fac1R-493n^%&B6kssr)G_Y@wWFW#UkLW&RW2eXY=bCv
zh<k#H1{(T2Yv?E$9!RB=vi6QUBE@(%sdBm|SalW^wudF}^t^pzO;S7tC258N?m!&W
z7H$l^$j->?jgi{k5<Wn?MVYgwBOlZl8vFN18XSzV*)-iP8UOf2|At8@5^0L2teFP!
zR}Kig>*__v{i8y*deP}u4FZpD>ek_DftjpVJ$##e4@C0u-(lRe8)iG23g)w`Sy+Cz
zQ0qkvW{tM9zV8o7k)C>REi3=(P<=+|DN(EVyop*V!7DP|!Hl-;yb=PK$stfcu*-LS
zeW3X=oq&M=ueWw%<c>6h+vLRXvgpQU(n;Rn1TPNHzT+pO>S=}QW1jDoZKq-tDQD2B
zpt5GO^LM;W-lapydjYGLf1hHAwu;THmVb`wE{#dGMVv=dn+FkPt5CY$wrf+eZ-6Z<
zl-VD-;5hjeyCQ{)Zb_Ao#GBfh@Z?%IK4#m)V#(qS<q2ZMvm6<wkNA`B)IDsZrrOm&
z9!1}o<(YNH@$yb%<K6=y*8XXcPGt2HTew)B%B&+;LuKmHQy!j!3JC~vQj^j~zyjfI
zy}KwXI9*x9tP|R!FGpwc0b@`oEsiiLC$k9~m%KkZa@OHi2}$nt%xA@~o;ita(A#X%
zmi9^O!5;DU1_s00f%4Y@*>ySW4h7kH^P~4`&U%kpMQcYHP>ltwA#L5z^O#BHHRRH%
zW!;fs14@&hhUhC8O*!J_6tY1u?moi8mqv`bB^AZm`$3R<A+D{NdwtV^oYOS8Q})AK
z#cOhD!*AWINPGjeX$eg`&aVe%>ckE>Gp|B*Be1E}@uU@kDl)?v!hTgm!M6Y{-VXwy
zJ1N3+5)5N;H+5blTY&h_tG$B8PIbR&LAj1lx@roK!JT7HwDr95wovpbAyt`t@rZ5m
zt=v0S&nslgEUNjN2z6C&5$UPjctX1Fjz!(srn^iAya%vWS%7XlFr*Y<8q-s&#;wq&
zWynb$=#m|v+;M$vSM=jY`s+J)n*@dD(XdWT5x(Xtr{>V68HyFCSJW=QmS)qO<?4~M
zrFcigOa8HWhL2Q5wP%tFcwGh3g|v;D4ps4EP8ZCGp9K!~ed3|_QOc8#JJw!Z<n+Ag
zin~e#ii=C-N)GDV=e@c<&k`a?0;^a@!aS;Db3HqxopbsMI}{zZ%d0$k`{wlY(DTas
zjH3ypQ5I@UA=GB1z3cg^FMAkkRqQ8ldv?Syl`n8InnUs#+btvCsYHHF0V<X-Y$S@O
zB9W=K%y_rrSsr@<f2>;G5uXH>w<QGS(oAbnAUnDj{A3F?%Ndrd00&9e1W5R{l3RFa
zSrvN)tX-d+!6m@GGm_UEl>1)hNKUSO6G)uCD{be)#4WAzpG|l&l+qNmnCT1s`nQym
zKa6@e#?V`K<{}#)j7zAGXUh{gR4GFC2`c{`&Nv6}R^tQVk{cOYa4hxOBw<f+t7qjg
zTcSK`o9gSZ%nFl^Z^|yl6`4IRVV!^XfmIbdy$59UwOjfrm4foBSt_NUUP-i#fF&hw
z+gQQe2Rr&cvd)=ax|L8q%`Sl&xiO3^II^50xBzBY2Xe-iHcnn;funJf6>z2KDWYS~
z`R@@br(_C~2U5`VQJ%eXd=BAvN=LKagmG<P`6lwI@;A@vs{yku*3eAaRe7+4nlWCr
zMLRvznN*X`j-hV^%C~GxWYS6VE}R2dtN8u160sCbB1vx#6t7LB=0%bZ9&UE1cK|WN
z@GOm{z7Boig|Hz{C>M}hqe8HsD2S|=GHFAUh`|LOS32UhOR#*HF3ep2p1oarh0m}`
z!r-i14P4Vls$0{u%YZ2av9TZch+7w)DaS-^<4Q908sgYWppx)}@*%ZY5JrXN9g7-E
zZk$@e8Y;_k@qtdt#cM2V6$WA3o!${qR>4A2Vh1HJ65cJptYZ9OmZ6Wj;DDhg+QyiX
zm6pn9s_W3)b*tx>)^AH-QX{mtHYRGRxwspZI==J5+H|5ke_a9AHQ^P;1ElN7lux~*
zI<8=sF06Gm)mvnkV=MJW>K-|6CB~HXF@x{8>_f0-BA;3${L3Yp_w=t-B4#M<9P&HL
z5}Dan5ajiQBs?Ws2(JZLYf8rOaNt7`pblPmRZOV9NdYB=GnECg8!A$j_XllED|#ns
zr&yxz{pRkQWR>tsf_G9LRK7gf;L5nWn5HrAHm^(6n;ER>XxAY*X_n47g<(RJ{Gp(o
zw<XJV^o4P4jLfEK>6T>DXeF!9a7f-OU}DdAY%0J<F^tQayAPOhx_xB)9W<Heu-+=+
zTq%3@N>3$7r&Jc0uOX%4@t+OjItX8{C9Tc%GS|+gF5q@Y{!!!hK;zqnn6r+@mDguu
zu|;O40UOix?q53{X87j)4gF0}04}hD2&>&K6p|(d!noI`!|Opkrko@_G(X_@F%8~|
z;Jxi(4ASS|$GTZM$tzi$AFol_NWw|NPBL)&iIB~jEi+8CZACp><v=nqJl@0c6!7<U
ziRukB%px81(g`r5A^|RzbQWhid7`a-pz^t6xQ?a(A*W5~YaOhE>^T$0yX!4+178%9
zN^-dWn(E}C1Rb{t?E#MZpsH6ommGtRiJI;<5l}=XM73)f?>-+d=gd<kaLzXHR-U{p
zBh#9TRe7w=M`;>aMp$i}(klltA5^nfY!xcA6_Ha(R*V_!z8cl7sqpC7^^9Em?1$@{
z?2@x1TgxOi$qo~4G3zDVP<2Udr{7%iPFB8xC!1)7nIB*-(WZ~Js@&H;&TC4?(d<^G
zP+(WBO%|zhZJ1pO8`pCnYCL-Dsn@#*E}O$U+gjwvID~q-NZy6W1<0~%+ZJf)8JsPt
zR;EFB+(&p_w-9(MU`FTAO8qD+cCg-@jH$1tnKacsIN>(QGj8J%rrmGlJkg`hAvAhN
z5`3HP(xsDbaUbyK^|}*qw`6L~XgRhto+Xsd4S6=*cT2inXXf?MI_1f$_dn};FHFfx
zWL*jmg+xMlE>QB3?F&5~ronubo`mQAV`8!5s*<N~udq+iOGiDK(UjPAOot0L4l^Jl
z4w4U{++e?7=HZ&8EG&h;N!R#>LE@>)d-}rbW8hKx{@KxlgHM<<IMUbFqo-4Ma@3c-
zVJvWbs5t91kOfoAP!djJllLrwMpDE`dYI3P<&+beqLk26t})F|n`O|n?ODPnmEyJh
zCbqXwT?R-_8J3Yu1RaOL9FIOr`%d=L60#(4|KxJUSBftr#0Lzv=IxE1JKyn6vYdvf
zbSBVveA@DHl5E{^Sz<&prw10Jur*^qLh<Fv*OEw0OWFy(J%Rp+u^u~D&j5PNv1t0v
zkA87GYctbFk2Miq_oNlqHR6uqlxkwwJr|G2zf<RaW{q|j`AAQCN=Pnu(!MIYtXcJs
zRqT3QPm#(`PCjw7+^gG<0TgeG@YO_!$~nJ*zPOM|Z)3wIT~W6h?McV9z-p&WWXx)A
zJ-l172zd@itB7mtAKK5<PrNyOA2wQl#*u2v<(*xpE9{Y;a+a_ztzAA5q`OoN);ba=
za=y1r-)YcWMJleTI_Wc;E=PwYqDrNJR4q2u-J3{Hl@C_lGF9cwID=7UG0?O+Z+njI
z_!EK1cyT5*GOo0bzEg6CoQI7J>dV$KCY54Ej-{!Ks&C**58k1;m!wlR<3f>*%1kOX
zO+O(!n}BZI(TgFW1U3W|nfFVHVnYq|RCPD(I6a;CVq3Q>Lp^2XuDuI27q*>5EVo8@
zdPgfyNvNvKNNtQd;#{>pn548=6CtEy)j%Dn7CaJ+QHf}`y=?nbUFIR5)xdGpwyJlp
zD7i8>W0l@XjY&*PetK0+=Ql9zqoSi5eV(Juw3ocPclvIgg>xg{g?4T9<7WHuxDsZ~
z$+i=j<^qOJ4}~x6o!tF~r>kjqLb-|2bwld}(J_r^N2>|u`fY+mkB=<ma5`iSm(6C_
zQVz6dzCZI;VFwp8GU2?(hCpt!n;hySMv_{3ryxQjU=rl87b`U#7N3WM$STZ`cUVPi
zEV#L~i>`kDvMS{%(z{5Z1}-p1A|mDB&HD6(J@2EP8HvE@4WdLMjyCz;Hd#&&MU&IJ
zEV&xmw6ueQ<sR~ARl8~^-89MHzixr;)s+E9ZhH``Tjob6aH(Wt`sL&Nzzwb^W5TpE
z)IUkD)Lmfz&Mz<o$75`HYQRxU$D$~+B)2^}rOrTaGAqkFsZPw@^BJ(YR|~B-Hm_TI
z%%u$L)H^c8ug)+9rMLxplr!TcuBYeUkwxg*gkRGpJ74}Wg<6n)XM{#i@5jgMc!(pf
zT*^Fux51spZ*+&?0fzc*>*F5-F%=<HWfa&{-)p~lw4mo~-i7dMOkrkfRnAGzSc;|+
zpEQy+IGu5Ax-wS3TXy=ctUjU8c)w<r2^-ZZ<Sn&hi4lWNt`(3}DMo5k!n=mdtQ!QU
zqJ`emx$aF)ew@VQ8~U^E3G6#Dd^=#Lvx8ZD`8u9B>Cs9`bpuo>e_xSzr$WcgJ`3y)
z^yM>dB5gG-PZ{cs-CNMi-h0hOr$Az<vb*0paUZ`BhFkWi&qEdNSEXJ>18vHa7fVZ$
zZkC;My?7AtGY8eSaxWONHFCwOld$#JJE`}_<2O=iW~p?2x_99UknDsA_YFR*vZCso
zdt3+@>>Kcgdk&p*Ts4yzqxmCiLuk3}g&urx_Gaz^iXV1^o6c+!C5gLdjIV@sbd?0v
z0OHdYOJvqpb^QG^Pa&3bBIt<y6FjuG436*ILTNawfs(8mB**sWf`|=$-aT}yb==&u
zU+)O|X0^Y|`CCsN+T_*!l!W<08=OKnPD|!GbaohEYQ#<s%Fpo%Iz0H8JJgn!(`~O@
zL2#ANUCbFZ56NVpI)ZmI-$aa!HjV5DN2sKr|L`5i9K@qsN4-Wm3hx&RnSr$So-1lZ
zXUt$Ki0m2HXj5N@T$Ru(>?9;jgOYftx-oLM*)U|DJtKU6ZMcX=!V$F!pcFwNUl^}(
zxDQeLL2xQ<yZZEFzHT?}Hr;-(HyM_uDana2j{>=#YBfk1Y(Mh$woN>mQ$7NfcOqHs
zHtaR>b39g^UCCvWDSLq{N{hgX`(RpshtEXKd!b#ABL~LVueK#UI+FqNrJF;~E=F2`
z0>BN*^5I)$G&!bx9ZB|7IdGNF&a~VgE82bb?tB;AuEqiwepbNeO1?_a0hB~V0Q|8>
zkK}0C1=$v=4CyvrATa6;7~c|#yleN;4Vg|#6Uyb4=?O@sHx_-Am!hOcRg~{u+S}9H
z63RW6jRZ9j``ib<SXC#}4@W>1EY}{0!wPP=SG@?ICVh>T8A;aI*iR?nG%yU5J|l&<
zin3G8t1(Ath?Dk66io}|4{iX8!Oc?Ky)%)6{04(l*hPk(i8KIWo>PHfped|$rknES
z{%Z#g6k<We2+|dfiN*LBMX`{vTwys@BrG@TRyNZOoFFmZBv8`jGAEk~0J)QCNyr$)
z9UM4>UWcjT4L$g9Z5f>@kJkfMlDXrmTvlVBZCdYK5sS(rrQ>5}Mi!;Qckgf;kzh||
zNs-BDwdgY8I0H%<?_+jGbpUdDK^kb&VA3`dwX6A4IOFEp1GK}jD5Xv<2cewM!C9(G
zEa9<iZZSug8t-P~qac+&SeBxD?p>-)!mL^;s2<qP$2!Aym$*UFzlv#y_NSI7W4u5d
z#84Ux*N9*bJLmiUlqX;pZq#$|t6tpT71e&@UPr6X?5m{y%#4`Z<=6CX8aBm+m=%J&
z#?4-?4`%KCe#8n}aJH!O;t4P3Ez+heWl8YbnQ|8C{$$e;mNL1^HA3=l2a^EFQX4Nv
zWn96C3CIicB2&+hfpWFH$!8jZydEE?nitfG>Y03AaqGjj?BYC^cCh!^qYtHTFL2VS
zRFEr$y?=Vr<74uCR5pM@RX&l(gBf=)xvyOlm#D96h#lZ1K5Uz<+&<8r@0!!=2QlKl
zamryqH;>S<S8O>5mn|WR-~GvWhylZ(95NRqJ4J{f+fGbLL?sg?7M65VmV@vjH|+h8
zct80C3m}Jc+kJbqo)){KVq*Hr&~<*geO1z!NM{FZH_0`!9Qf0_HqDZA<Nj-CGHsYY
zs&+n=nTvLs0gP7bEKO~LYgHVtn_b4<<ePDPw}N$VZz<`tiskcSx4U!v2;ZPzKf9;W
zx<bIm)Mfe62_i{nP&Fns=4%L_aYk^D^;i}Aprxk@2Syc-r3Q8PJv#A*^U8JVxJs31
zwpW}|*Qtv>S%N3j9I-@%Q<IXhbkbL^t<d)wL0UcA*qCg=709c^dAqW}!f^I2@RBiw
z=?1}ao5+}+HwvDh5bsjhg=T7ExZsm*+V=KU?C~mQ-hp@+1)PUR*XNK*G#{1ZIe3+{
z(`aPv^x7Af_j1o4i!31_?A_-=#X&~3b*;+Y%<jl{vGO6ukENA+f8g4KWtsx2Mz%XF
z$}ChY>l(P9k!%T?)EcndV02FV4Z<;xiBpltl-ZOP?N8b7t0G9E+?E+Uh<$HL<xg9|
zZoRcaT7^9861ELRX43aio#4VodpVTZ`?1akwZ&<BdAaGj88szJu4>a|%|#6uWTnf*
z`+EiD2bDz0Q^*GrOl<EX%Ao6I{9wf#!bL&NQbDcMVX<3grYq>AEzB@e<4V6MG3DJD
zXI{$8t+p<=<O!UPo!3@vRXD@LS54kA+a1b1;*lP`5s8pUQIwT$@+1-0YOn?sw`zJa
zO03*79xmgO7v_ewpu*QQ6CxmQIH+^^Y&TbQ0J(NRmHbg2&JQ0U;o@T=5-}Ai3S{r8
z588q0O2US+RM!24d|lO#>N8a9R3>@K681<oggR@77^M4^#7V;3Mh<HDBr_Me0S$L`
zd^2zxjaiBULYe1`De7Ywq#Z2^32fAI5&hZ^csi>69{U1nx8P$yzH*`D6IB_ywQ~gf
zstbq|n`FuE2>Z1%?gg^Tq8d^W67$Km#Aow6L9wR;`TU*`JgenGk8fMk5Vsoh)CTT3
z#@lKpBl7tz$xoCg4^nDx9OA2DB94Wx=l80X5<hTIk7d4E%+X@|ZOyrg99r3ava`$r
z=5d~#-f<q!t{=)7VJk<(Xyw$CX;+K89lYuDQQoM(H0EwAKN$-<k<WwK3Zbc8i2g^B
zvx<HqhT5U5v@#!*C#@e@?>lVG1(i{TdiJp%YYdY6DE2VSRFAvNyZMOw-BJCKm>k8Z
z`X|h0Z4#x}Nnf~1xZwv%I#VJ=B0iF!wTeMUtf{g<O}RauA#5K2UiV{~9o8%=6cp=>
zZeb;l!x9{MT`dm4ir|hsUU9SrlP|=KKt1nG)@=k^i=BmglZCFSM<ulZ6M5?~lOUqC
z$59q9EgI7MA4c!0$h46SCgR9#F=xNe7wgSX!M2t3jgs{EtH^*M#QEY<RtXkfnRLB#
z??w>zXX;rule2{DT-LnXN1ZA_n{n!sd8+*BL8GXnVVjgvkCw~Tp?RK(@02wzCV1&b
zM@fdsW_-Pacx`%s20KM8`?(L10nsJ94!5yN&oRCVIpaG_uI@<QQ=IHlr|^u`Mmvbz
zmQ`G!WYmCXG%hnu+g+`dQZnGJB8xg5ER3L!c!Xu%*1$MwLfC?)rTF|_;N_&QZG67@
z4r142&y=YSscB;(ZGRly<v|ovuS}RX|Ak<91vZLNI$<MHkB5s6K3CT))Wn`3(7HyY
ztK^08r+sb-gYc6tf>CP%_V6`mCTXpQV|l&eOpW|*U0FjiN$rs?r>Hw9+ctObL?-3y
z6k)&NVU0L=tA?KrX}_TFp3ifwRQ5vk>%)X3vh&LFi6t-5@{0GB%*mP1=r}Z4t4<bk
zI}b4xqRK*A>e})v^DB~Fdt*KYX+0aW-FbclzKQ43s1F~73&RJF`iwfCF-c*{F!~hl
zDCQ=0B%hCxu#B5!>`mFhdj>DE4^)P8Wnqi5Bj-}htDkeZQxR~?%9wnd=oU`b8(DXF
zmOOv~h}QHJ93xZjh8ceJ7dZ=$;*rJbcN0~N=JR=t1Xe`z=@NA^n<flCd_chK#X`(N
z#3Ij9$8sQ*wggSdCluZtnO&|q4T+uICwQ3!jN^0|vI0{povb<E$kqD~=H=I<N<JUm
zG;u5%u2E`SJ{ZB?*cHUaEbdqm>1FJgv1=d6{l+}10<3np^Kfgdd<<JvXH^~RwwOVA
zC7)RnmU*g7K&Y*W7tx*^Mx4d4-qSAaRiknZI_NJIoG{K=j|nEaw~0xkK~i;+$9a}Y
zi3(0-Nha7!Vp{Mb+|&OW*9*A_9$kAr0){{@<#9mt)g0_6jgKvTY|vHcqeSb&laN`G
zDJu|SuSm?STmd5yB9V+BH;u~<_vXeN^J8^jnTv9$5Mo~^AVQ~FyVq$n?o%;#K(fkR
zCSCOmJgnXGFqs)(mzbrQb|t7*Y_+>=2vUABD)tTU+~k{hj^BxmW=LRBquHh7^3hze
zDtdpvr0H2t6(#j5Ueh>FqC=>d`MIEIl3IKDJ^|8Z9VX>45iY_$(xFRlias2g_9?l<
zBN4TCZjCFK!lO-OZ)zIN#gDcWqt*~IdnRlS+tC{;sbGkW%TbBvCZ^g@@?cWxF_-<d
z)HN<jvF}ulULU&NdneJAFTbRi#p1f0$E^Gfw_V7Mk$X;QeRykbd_=Y0#CEO&^O_~a
zC+?7e^X!@1g9DlOrCp;LrRN%(xvL`$UMM${I$rENnBrraWbr)8le@l*uPpRIm|?b_
z?W@hiyTS-a2<fvV)Hq#f1yIK^W;e)uQI?T|jj@aa2Vg2%6EFcDd7s%Fo9a{WDA+lt
zzIl`Dv4h!)vGw8FL8T=1JsO;4G>ZHHKmlQF$FhSCvsb8#qNq%gkBfgc5$GZUB*#0o
z&`c7i47Rdx;kVd;$h4S}Nb3OjuKAe<b;Z3O0c6s<TI=kklAqJ|MIL6}7@v!xbFL^)
z5+;eQ^A9XA>3Uk3NyCEDoGrf<%}{7ifp|3=5AHxnzGq0o?TwWNS-q*AtUXVUTi7$w
ztSI%U!xj9&xlG}%XKE<P1YRlRtH)`#iLx>R_E}?l2!dqmE|}TcsfeOT6Jk%&l+4$g
zRD`l}MhiG*;BH#O$$lH#P*-SEV3Y6&KGOh6@{)k$fOW1GnsRR;rq{bRGA}ay$xQLu
zlpU`&cx4^!lP92Sb2ww7`KewlKW;a2yIQsMFo$bO4EyVbbq}kXg~$Z#F7AmUB-<wO
z)<+b6@2zOD<!1O%Nd!4-D2sfAB{#e5hncxGv4l(*0~Bksarvh85v&pjk{6=sdwpgn
zWNbLt8SBgSOLn4Zx`&GA`opZVkgA;)6G5&)(Hoo8#?u9>DXYjS5L_g-N>2ykWSaKQ
zot*XWVVBMzU4Pv*YF!mqpX`p&7fijMjblOyFGS9+wYMcYuX(IT^;{P{QOgBjcJgwc
z>7~B9P{->R=Z(CRx~m40R}phl_TU3&6!Sx7qKMKORupo7k12D{DPVi{7E$lv{xs>3
z9iMK$o>Ki4AF(r!zYTRHrBU$qsI)D18x@T{MLcB=$p>agBHO!0LM5+6txtoZmtYNz
zNN6^lcns_VY)5YekDt56q>qt*!diHlz(YB6E)ek=H9hT}-WVcWK@<|G69dcYAx~d(
zJg};srizq8&Y*sRUV0&pf)~BGajZCi{eoapc8pWdYpsUNax$kku}$1jTCy-Er(PGO
zItvMrT3-?-cJ12Y60P#E3XjV^RQgmG=b|jmzT@W(51{K7qNJgtYuIS;h({rhN!ox|
zJGzHt1EC9<eIP@C*Xw@gEB!9;onnK0NQQI@<&TJ`2iMUBwXeO=#W`G-CtX|p&OK~X
zh_q6aNO5J-i{J|m9GV4dJkf?KH-#SU7Y5-u(Rh$T^wlcQGRtDB4&{J{c8Rm)`Sh**
z9`_aAKANIR5wbN?;+s-AH#J3yIq{D6C>?DRE%G2wQsxQmqz4|K;>^f4vu{@4mu6?K
z!&(<)d9K$)qqFDeu!ewbLds2}!Op>1tcOh6j5afp+2G@N&6*}}nag#V+;;vOLoUqC
zNf~kZ=smp`)jab8U6%dAR3^p`-YiI87+0Te5iCbY)<qGZU1?I6#cI#aB055lGhdx_
zMK~BH6($tVYZUeFZ57LozDkovSyD!KiUz%osSK7mMygh1)J8njD?Xpuqc?jSO`0Su
z+ZK?Ds_UHH*Z%}=&+(3b{rE$c(6!ToVKf_Qr#Dd@?DRF{4RP>|)A0+GyY)JPH&kOi
zTJqwi&iUD>VeIiPgE<LIV9L73;TY~IRuAK0#8ymW=*}J$g)ARm65WR4v~xpsJ}RmW
z$>|&o5gsO~a>G91BCrmLz2##G>%`7ZbaRQ(`M&9IH(}ddpU)ID*eJe<a<(m69ciS%
z$j)Z#FIUvg+A!C#mb8skyHM-qjOMOgw!_;p^kqZ0D;BhD*S^Y0e4AzBp}{?{-p^v>
z3jewYf>1wg{<wLkZn=xa7b%Qf8KfGD=t{9Bd1@ha5=IT%Yd<>*u!&QUneEKy5@G?}
z(n}?`Q-o_kF`YMTUD{0rQX}%Ki510r<{yT=rXtzQPRTNb-Gh=y+?t&xe~Za2OIv_-
zzzJQd=f;r1b~h+T1}m4nsY~;;(va}}myySXrKVWs-<7iwwQN(}dZ|Qrj}mRErot(j
zJpzqFY{r99qml{o4Ov<jg{(e#8ItL;5nbe1y!)+oeVH<1p#-GQ-#H9?AeSd>JH>2Z
z$a55HKf9ree!OKZw#t>3=6>JIt6q}s$gIkMF$KQK?)d)5C}wK;>tw!S;<gy10CoMg
zau%0iUi*F6`h*=$#%I@zV{?vOx}YK!9F}v4W3p0k_Z1hAIvHQxl&-f!iQTRCBHLbS
z_WgH@5&)N&$Z+J9AaPVSeHBN2um6tF@OEi9_K0(G3p1fGbA4o}YDGIqvzU>KbZr|G
zTN-Uf12Zewt`jUn4YBanoB;~Roz|Qw`u69-3<am{?Q-`h-9*mszX6stfmJsX48&ai
zGxT{B&9HQ`xeZ-TLY2xQ)y!Ni?S8$HS)or3r_s-0Lo1nC>yGgp2ri;vvt`v)Cb1{s
z(Nm)rvBtOu_sbundKPspP4YOrYipJ<kU3F=Xt9z7d>~T_=eiJXOsh23Q%#?iD0!_n
z(q9#8#{4KQu6?$YPiGCdWts|RwzSwT`l2ci;tH+cq7d;pbQdyJCQ19Sq*81#my%-z
z-$qd<uGI6gX(e_F6VWo2^@K#@j<p;~7J-OYTVsnAu#y82AJmGj3kz-F({^p4do>q0
zbFlB~nu7hiPDwEChKY^(V$?C|31QpD_Cad`D0CAq(}nSLA)+M9H3%5pWj5=Pbz5#M
zn=9qJFZ{?d?9JSc4WbH0SydijN^+Opoz4Tbs41(g^^Y=Z+MDTwM_-h(XS@jCCXsAG
z$B{H6%bYWDZ;;b<_HqAXiYl&Yg_B#Ij99051Gi7#dnf&{#mO<;@Uxs2>{CUHUTf*B
zOW-87+}nUhli0ep=RF`IkCq?tBu?O^uosmt>S<18x*uJ?O<rj-B06jQ2?fY$uE!ma
zq+U<RTJb5%L5+US+UhMcW+$eTaa#WvTb4G5lij9LqpBlDP9GE>Up&K-Wsquky*z|m
z?~)^0No*s1VOwFjbj;`+d)CITK+~*x-tl+9893aG3N!S}0W!WrH>rpm=o2F2=9P@N
z05ezU7ynM>tzbv2;St5)14e<y@-EmEhCpI?pofAcHk1AKt1vDK{lU932CozoEVDkG
z7cvmhJOZez9?9{`h8(P2!;A(qyonoy3<s{pLu&{>oy(PPB6CqPY&eD)GT8Bk;kDd3
z8Q&59@xGxj!z?cUK`^%44z_}VVAlQ79qfYQ5t0@SB~1KG>1vafS)W<J;yuC8oHt6b
zqYYP{+a^U|bOS#TKcV5=k*uAe(&9?+>`G>O<1ObaG1`!1k}Fs)oL=A(%An^ea%Kem
zqDhw6r}q>l9n=k|6r%(Uf=*mIDR`JIA=V&?d*F%i1%tL+pk6<u`;bIWl**#>h`;*F
zF>e_=*}koZCwSd&f>KQ`=(|w`v)+hnay;t|_)A(|4^D|!(;BdA_c=ZZ9XxOCbcC#z
z#pDH$!yv$7M}*Ie<NS6d*f5gi2DRR(+`+KxQ6{9v`$|2sM!G(T1~a(ts@TyhF{yu!
zS25%uk#~pZK#LQ_P#ai~Ryd2<Uj>%8+7A35WoI2#RlB}x=|wNPJ4BF{mQKL{1QA?x
zhlDhObf=^OQi{?@N+aDV-3^jb(s<s9dw+YMaem{BbN>9sCv(pA_Ip3~b3NS5Ni{L_
zny3{1x8mq^AP=g8tI`2=3LAXMjS{%h>xK9NHq->&2=5jEhsE#G-)w6~NQz|iJ%u_I
zrPd?Bz-}ALdPr4@@hqo|I@*U>X2Ct}wIoANRd=k=r`Us~ZX@2c!UH&RHk9=lzrk+D
z@as?Qdt@1y1`0AmkhuA)C9!LAwX+f2qIsW%3@n3tud4ZME!YUio!RgkbY1#O&NblI
z{q?aU{;xN9=&S$aD@M~k>-%oe9%4pDtHrZh{qZHa8$z>LEIyne#36W!2jpB?TR?Z_
z%6y((RjjNqtgt3XDvp%GX@RoKC|5Xj%D;Bwv^!~hXgXcn%V7d3ab?Fez<R8S9)wF}
zwlCEMNuh-$mmszA{qAh-i<Wm{JiIR8#XD{7LTRcp2uW2^1uiR80{1)CkmBeZYysc@
z2IB9(Q;A%?T(&2M-q1c`Sk9zucfPZ!q+h#bM{Wnl=r`b(fXo3GL%QDn9E@Hq?)(~z
z=jjf<uTXvMlj86x?{!9r5t|?Meq*>b#Pmc7&kK9V5ApULe+-Wj<?#x_4a|gy=>894
z(<P97cIqsd!+W<{PE9d4NJ>QLS-1IPp6dq@57zRrsTD4&iwQ}J;8`a?&wbI1BNAAy
zw$8T37IK8Wg<?g!dLT3fn{;wTFGWI;un~RxJ<28XVd=A&+g`2CY;0c2G8xH`)ARG3
zx^6xp(j5=Y$(OjL!=Sg&)jd1X4?lyfgCbn6mB40t(tmpao(ciemD!lCtL}wJQz*UC
zWzXu=_UE$j-D%T~1dbv<10}~fjNw2k5_jX?tT2#<Id~mK5LpuOf;11E9dkX9o-f_=
zAe2Qr9($32oN(7Jh5=E}^E-qud@*=a$^a8be&kk>;G&*#+A>Y&B8VE{*gByGhvf6a
zg(8$SFkrV^v6hn>4S&gA^YB^vKP5R$y*x{KYUVj{iq7WjaOJ}g>7XLckenk|RVb~>
z&>BBqq$_6K3QQO3p$;nAaP%n}K3d8ZIo|dtesFU&fny00(7&!y2L6>HrxkS5sFIEe
zBTpGodu)@4!vYnX<c#h>xVQ$NAP0TK3T}yGXpIzV?rm@U`mry-ROw>uTLPsP=GXA{
zd!0S?7UZILxA~kw9ZN20p631;7gcuYuFy#xp-G?tXB3>)b;bb=TvJ)AN?E0x)MlvH
z%FOyoxrW(1p)6|0qyYwxqX!_Hms7eeA>O@HA$W^pMr#r#{oV`MPq#%|+D9Pkfv2-=
zj-%905gu5X@;;_(^sqx&?qOoZzMA5#Ulk3*_D*Fj4sxmFiu_lkTb0<{R)|<U_QCw3
zJJWzih;}~vbA9#l7EFUM;!(sym*2A#)JlYJEgTG6U;(K{5m`zHt{^6b^Ff6I6?>ew
zy8#%T3k*9&7}HjjiGg>ikRPr_>fqo{Tzawh)ZG53EJ?=P2pSW4Y|k0X`m1k16rSc&
zdy<+b^@8Vq*K}~CorS`Mud_MGFc=F73{VyH8U%Wrs6Xi{+CfiajCcs+P7wJI7h*yd
zNn|*i>lLmSzHNkKJDi;->_z;BFTWLhH)25?xP|j2K8o@Ss$J1j0Sjo<dtrwxO%IWi
zM2@$OOdh=~Axx4H>A!cTr>jRlJs?s!B0tF-KgS{G`Q9%!a(@lk7@kEukS^l1kr}L`
zeh#8lldz!(UM0ep9w1Jzb6;9u8HdZA?+?WQ+baCFYX^t7|MR!8RklkK*rBF#(ryfi
zc!$9G(#viyhk6AfT007O*8bo=`@VIya-qMmSGJSWi#6*DNyZeE8}gf0<BEe835P4o
zCX2@aHJ<4VS<7H#Rdgf0GK%iaX{Lax>I3#WkU5GHiTr6pz%;(tWR4`R2pDGVj-DNK
zOnm7zNSRH2Sb?DdNN8_E3F}X}#9BMP_!+=NQ3y^Rp3o{#x8LT<8o|%%;F2iPjUhcx
z&%g#I5E2GBBcT<U70Rc#>rE)?U0f2I`c9q;co@<xqy2C1q>K6!44k%1xX9rzg~Vb=
zw_V|WBu*d@h#pV^&a%o^yPd(0yyWng>Ap#HqFG@*mr~#f)1_cj%OQp16QXkqXSMrK
z$?0@O-||{3YHT`Aio`&~GTh6lt?JEM5lw(K2a0hX`t%`d*sR^M;xSI-aHY4%8I90)
zb;iX?=axPq_qL&y%2D;v?x24jBhb!4#UA6*sRb6gl`edf;FBEu0NymoFm5cG)foGi
zCZ5vUh_lP|N2F`HwXDA83?4awIj^gn4<j!64c_oSnbCP`eOV%?s(6m%Oxde;_Hl*M
zRc%Cp&<kx51!LaR=vul!+jU~l*Ix0Xt<1xpLe;ib^8X~N&gaSc9142oF3Yr$Sy-@}
z8KCJegsBI7iK3j#+_`(~2!G<@^?{d;8$U@<2`NZmH!w4F*3)I(p(8(mSmuZ)2-?OJ
zz&57A++S2p&j$9zYwDsDiRGRzeqS9Wz0RFf?rs5}2u%o89!e1FUQKOvYSucFM|p6~
zk{<@|Cu(5pn#lTe|MFMMn0<#&fJUa(=?DelY)KCPBXP6*2Obwpetd>c^;HNXgRJDN
zcQJN^S?lM%Wx-XLenfI)70B}V!?<rQRlMB$t1B1Nx)DtY@Zl5=xKd%niOf_}kmAuf
zl@jXsYQ{t9Df;oFLKV5-)&zK|RJ<}Gbe7`2#_h3O3xmv!QGv{3IYZl#9JT(=7%*F;
zs2xU4i0G$+&JPqh{cjDs=rihnH6+R;$2@ts`QXivhr;2SBZ6yk#lLDTJQ>p=`^krz
zjeO%yO6`csJNOK$cfoQL7WnCa09ge7{X;N~3XVxc-XPET(043PX~PJ^fXvpnbYcZV
zs>5vf+XtmoVQ)LNX&T}Y3s@1l5mFlXE>V*&O-~3bxUXs59mcQ-TSQp;MN5_`9yKgb
zqB?(X3+8r0gb4rf7gN8dhA}hA6Lsci)<OP_a*7x~@X-~Ix*A1@OOS7v!*)KuSl2#1
zLypsS!7_VCRDp`;`#5~`dxqb6C2}z2xTDa}<?iR8t<W5!jc0&x!#Jfa+?}u$=@pVK
z7Yt)vdZWcHBMK3R&giQKJ2RoSzs4C}#4c(o%aLG{g;Q**=n6}sh&1^`M2jFUC(gd$
zs(rlM8sdAa&Gl042&}p}SOzln!bC0aR_rdT_&p@}mY+)7^P*x1J^><V_wpfU<wSFu
zc+0Iex3vPo<39PL?^r@ABb63Ly;AY8cSyDoieKWZH~b`=g9QD*iP;4s%TB_@VRX)h
zX_+P&ui%yh{zL-kd|jtlEFS%VQ4Z+UtlzQEYU|#$^s4wZ@_bXxdZ#}U`P<%wa9kis
zrd?K6_cX3%g<n#wo;*Cld&W}aN3Mo0%;K?zmUnJtJ7Cuk!+Z&uZk_r1NR{*4mu*2j
zNxqlM^%Z#qMTpq%_QJEECd@lwL9y*pt8+{<ypwO&9}>L1fci`vM~(3VFb1)-Ofb!#
zzJ@a?5pp4_zJ8_Z-s37k`M^<yj!Fzg({70f@t$xo$I6NGBs-A#!xqOVL4S$FJd8*0
zFY}=jTW=7p73<D2YzoZ^$;WHLvTtjFqvIn#QT4{*hEcHN@5pt98v9NW;#>J*!QL|F
zpj8>2inYZYiXP$H+JO#R@oQ9U$uYiMe?{UPhIbsq_VmdJvc5fTTHyT*y&;8P7>Xkd
z2rS)uN-)&tv7OPsU%B8c&sDPok@J#QHPHO=+(c(ibu>E?-_?XaWt`5GSW!9Ch#9oR
z=576|z?m6^TK(MQt-Or>iG-p=_1A-3{%R~)L*G-rafIJW^`U&V2G)qAYY|Vf5SK%a
zeL01ZisX>q%<}1nR%)Zi89`FJstM$W4Zi~-g8h67mXhKK#gjMJaH(EY&vfRK$D*q_
z_l2Sl^$CnB5!5GdJ{I^)NZ@l%y2k#)(xsHeyRC0?9{Ia7M5wKbM+i2{2-y)dMn<Cr
zhj#x%#>;uMA|EzsL3&h(D&*YL#CBXCEaL!q>kpd6$Y<b0owo;;v64YQY*Gz;j9nBB
z+KRxY!`lxikmAZA+eCIZEI*e4_>Q0~v`J}Szs_G##r-k4ZZU8rW^(DGT$D|$=YB{#
zuL6h|eM*5Rz?6-41X=6;=73l^fy_@P576?h<77Gh62~l^RIRW!xF7C=%>D+CUw1dz
z^58FDjbkl%bZ8>6z2E0uS3>q`IZVy<B_9?_?dSqNovJ$j=GJ#B2wG*Q1}UN<&s_TJ
zG#`3Cv*pl|{>y=+2~-0;=_)ltH5^9*TZ)Q=)5t8*oBZQuu)W?mx_mVt5n!l8rUkLi
z=z*$fpIJZK<k*Q{+d71@4UBgtT=r<6kege%By0mxUwlU!I-%WLI6%Yv&Zd~q(uYIF
z*U!CxoWxNT<jBvIN3D#88kK><jEpUX=!|=v$VSH)JiLY-_{hR;1cRrAConb3>~u52
z+WNi{tTnRJCcdM|YsNy2C&X=ou$xhVU-=!k{>;N=X-+V~M~LF@5sSMDVxtX$#(@N9
zt|_W+DwEinvrPhAavw3KFmB~cU=a9y`p&UQh>c3<xge_jq1=`6Lz0w@>PvdIqX!L+
zeEX%@exGz)4jNihO^5<Y;<!OxF5T-@HpsTxNeFK5cZZ&7;}ZI^4J~g!w0LKYV^8)R
ziA+KXk1Hcbu_|q`h9Z&&-Eiq4nXN+%mIi&lf7N#qxE!&_4E<zV$LwI>*XYLJEpw13
zynQCvDSy9LG=N^qK2mt-V}ykaCKC)b3~xOa_H2>sV`Omi=Y}e)rKPUwJB(@j-uf>X
ztijqE-}7FiUvQ}z*hK{yGOKE2JiC%y9bO)-s$4Beb5aj6;dhD!;1Z&o$!mYy13_i2
z47_e^7LS#m`HEh0(SjWv)TormI7LTf%h=gv&!q|3-Lo78!ycitK&~jrVE<35oR$j^
zlkkV(lxxY3Pr1IMZQ`)wn4lR`S8zQ(f|V}8DAud1Fkmb_XhjRul;-WK>+~3K45hd|
zaTsHfKS-PY;GDlgt#dE)l|$n@?kWY?5Yvi)71HhpFj+guuu}M622^$&6O<xb_Gy~;
zd&&btoQ(rXcD;is@`<z(tFUwg&CsEt^o5r+CyZG}ii%hPc^+Pef>6`S<(3;jTf8Nv
z4>k+)uURXRbqsD*t7n_ODmhR8EQQfxaqq_N^L7Z=f%{v*YcA!SmM>!@)FWykw2rd>
z=GjOUG6CUeOT6HB0u9pq`_IsBd5bKDBZPK{%#kH+{gP&A1~$K=0w?G+Iy#Iw$#Qql
z*GpcYT=C5c)(MgM*{oMvx19NPR-3PXO*%CMRhd~Owz$8#*>Amt<FW0lRVrMoCb87O
zSLW1RlIO3B4zhejEjR*r(u6t4B0b5k?$aV#Mwv`v6gv<_28<OCkLcY}F<1yf<o>7c
z^S#%^(XIE>gFQyD3i#a}^okk+log59xPGu$-D!FhJ0t&G|9bT@)iJiAGc>hWwuwVA
zPcw^*#eE?x>-I_Cs|cP1?Z>Dqm59ejnw9?nVt@tA>g`7Lt_l&tU-e>Uo<x~ll`pjF
z0je^BGeJ36$|60!2tB)t;+s~{kbNkB!O&|Gm8W^HNRU?*Z@HTK=@G!g`*5o{lNz6B
zpfJR+fb2!>tisZpF(gC(6m^L?x*6nc?;w*T@*=CfQY_aa(|zyQqh89ti$ii7wL1c2
zWWE=ZYP(5r43M$}Ssj5RZ>u)_IYgDn8*^I0{rDODJ7-+2&aB%>g^Kx8>+Ej;d;*6u
zIfb8js6&24del5rB*lZO-7MK)Ji#eexq)i??v29OC=CIB0)vR!&eF$Sj@&&j`N<W;
z*-)(@@eNw*|3zhxqNjE9%Ll2VQMcIX!`mNlGD!t!uie5Fcn#cpucixD@wBD`q@cUr
zy?cLuR>o%nd*xtkIiyLZJM=1#TwnXYOnrK+x}VDNg?JlXjC$l3I`nxcbhoS;Zp^)7
z1n`plW7=mI)W}gQ)sJxFZDx|bJW64W0nfAW0ZOpI_s3dsfl>nWK23a9BWx6Gql4Nc
zdWtg>s(Zu^Uz^30M>$}=!d*;dAgeXmA5T=txRKuExD=kF2VFtG?P)kNsQ!S-F|lsm
z*L>va+(otCzn)M>4@{ih0Y1?yY9!Zlb?%M?^?b+SVW8)r>*|bn#sNs6|HTMr@wlH+
zJ8(~Rm>w>fp2Uh@&xFcOfrLh$w=$<T8zAKl)_e}`Yj)t3^`(ZjhSI)WhEWuiu~PCq
zfPa5Ul=KKq?}1-(S|KT_+(BOU7mX(js<hy%y8UaF0Yxc;7IjIE`@9MvBH$@QFnCs{
z`soN!!Qi9QcRJ?r{H6Gpb1dI&Ab|AXStkGph7>aR=h2-GT$#IfsuYlUsD6DEO&|9W
zYYa-^iq&fQkpCIemk|ov%kd;Y#_2X$dgY@TUDa2O9JCF%47WcFSi|aPeoe8(j{iDG
zaFQZhg0EKzPn`oE+>B4K)`2vo_jkBv79i@8lnd-rbvfejUdr`@A3~EO53^yu5GjZQ
zN3xz1{O?eBi2kcWmEv%0Ct3P_(R8gD-j6fGOffDEZSy}w-!<UBs()W;7p6}HwuLZ=
zWrO^%qAc-N0d;iHb~5IAvjdk4-sU$Wrp*Cv)ODlLPYmQjxS5e{l=$6W%3+^q!Y$`H
zURqmmxEdl}T;-1SLPN%nAhV4g>3N!>>^`<v(buVs9aU7B3#Oy$!B<`bqX)Jwq^I({
zeKmD5=i)oHsisR-Xe<n>wy4AX-^%wAYU@We8hDBzB`FRxQPM45PIS!gz_*K2faM|P
zG!rbLW$~kw{mY;StC!@Ki>a=j`u(Ficn-_ozaJ%Z$+is#HUFBs8&koUWRcPjmqz{y
zRDYCwzd1ablgt5<sd637<I?7V#dK%)z~8lVWXPitQd4J%zw52q*|%!2mkS8A+_i6B
z{__8LdBkT^?Pt83RI!R<FS~2%;5bJS@Epy5y_`KN+aigF3oWm^Oda%r${>*r4xtZA
zmKOPQk|URmDtxaZ@<;jdn%pXv8~z17914vb;L1}7`}D!iaz6iAYPXu5Ap&ni)9l&J
zr|bM5pPp~2oupOZvEF@q>$i!nUhe+WYnhB#0wuBe;Rda)=NdY*0S?*6A)8Mhg279e
zkqh+$qeq~xrnFsf)WzU>*l4-V)8o>1?yZBc(LG><)?h-mTz@fjl1K3I)u=Xk61ICn
z3L04cFjdElVs70fsBiwBm+?)u!)wE_%|=J0`>xs5M|acNMDXz>w%uBgCj0mAk>Zqd
zKk^jCr>Tl7`$EG=qk^3I7I1{~d}ZI*8FZjKNARXRQ_0gCI|Y5ld!g%&>1!oRzvHQL
zp;xi^wErAy`BheNsY)dDw*lC?I1<;V#)rUx{0>mlRydDATtJAUusl}Vrljpa;sn^%
zrY?baIEz}yHvcj6G*CiOh4%F}?++j<wnpBNAHk)}d<?Mj_G$sGFA~a0>@`bynJB#H
z$qjMN%&J!t%Opo*Z$_r)&gUl*=Nn9b9x;vDf-<=^TkHDk@By7CAQALI7Uy?KR5o9w
zhsXWXxzXP=1>PZ7A<R)e-~RL<uGjnekd7a`f`xq@!gB&`m>(E00|9D5OIcKqNb@27
zYtTWBKN^xgQKh{(x2$dN17^AhdMZcTWcr?lfJq`&wiL#Z3`s);09+C}$GzI3ZGh-L
z=dfdl!3XO+>hj0IHlH?PCKq5z?b5b_yw@PR%@|_W+>m4d(q`S$1-LEOfajS%3GwQI
z-?R9=A=OKn^p7kL(wsTJ&_Teli?(*Men7{Qz+eL`4nePr-vS`*h@IU4gU<8oBxtWk
zfOHt1Y<GtryG{708sTiZYy_O8{4K%wLO@!?v>kr=ZPx6~pDWiN!1uY}Dnn-?YXDA1
z0>H(dTn!OLLATh}IQ=wAd~Osvc-JqTgSc_Q@A^+uL63?~qt)x{R-z~OFsSW)CQafV
z5o%rmySC8f-O^6R(76;IL%$CkAXhxI`uCJ|AK(z_$BM+{sCx+C{yV~Ao!Z#*3yeS-
zsz@2=zT57cLuHVxtZkK>z3mF(FHid*W46nb<rg{k_|3(;JY1Ty3B~Xns0GjAVV=9B
zC=q`kqUghPiCK25yU$V3ad;Xp55k)^OoEStsBC!vgr@qv>zsQZM1SG=<-QIazkE;@
zCWVk~sym=l;<j_j6*{i>SAGI%$UoNF$o_yhf!Y^g>2rEo&s^@BjVyGM<<Q${JYWkK
zki0sI>w~hq_<<dK&xW)4^b{oc_koN)i)YUb(Jt<bSvH&--aXl#{1E{%He-i`=G<BU
zouGY;0_6lyRnsSdN4^)rfJ}SMICQ*+P$ZBASxS@&d=6RPVB5WU$C0;!Lm0I?l_?a!
zM-EY8zePdW@r&5o5R$d=`aItfkQfWOC52|4;zWLZM|qi!LnYWdb^+3u1%jzxh3t$M
zR!(*I0*_bXvbCffZVTPVDBWWS+A#xgDrFV(<K~`|SC@wa;MeNkgP3kN8PwIGpP9YZ
zHZOrQJ_SM)K?&|hz?W^|rBEL>WXJHs27DAhlwqg2P97}oam0f!eiXAKgrgl1a9XuW
z6GHwD&=cy>J%2v6w?7P&FpA<TACz&q{`#I!H0?e1k!Cn4XD@iD&6wWnmyUoM7<ljY
zK7Xe0?SA17?3*=EOGd(V);a0J9~)Gj{_FECZpgV_2Ed{zAW^a_s_pbV-P+4^u5_~X
zyiZ3QWIfjks-iECevA4=(|n=~I086ST9-~+W1M@eMl1_sF<W3u%=Q{E>`U&PXh~ZT
zyMlnJ{uua`#>boa#exu7<ti;;1ESAJZ*l#`(c^ZY@^MabCm2Yt`D%Fup^qZ@Ml8D9
z=W+uy*xC~Y(MP3WD>71Y+)Weq;Ygp*j}5xx?<7u0_ntzORrHgGIL+QyTly}G5CEa@
zg3cB)4eY)wA5s|mWisTyeY`h6Uw6KlU&(s6o4m&SgLC55hoh^L`4=dMz%O5-&?=2V
zW1{QaneMTmgD%pvV1HI+CbGH#tnBwtF!0I)Fr1sUBsWnEo4#f|Dvv8w%b<6xQlf?M
zK@d`cd86^qRk7DKKm+mir3igv=F!K}eRwDiAPXnj2%gg>+HHD|2GOPS?sd2k;=ViJ
zU()%;bJcE_R?dI-Lv32>3HP3)309Ro@^m-8jO&0{w-?rc#Zb~%8=pUL8Y>?dXz%X;
z))yO^k9QuV`$~Fsli8i@&T_sFt|HAJC}s8_&tHgAZ<<*C6Z34U^WCj4r&WO)M)dwj
z12X6if8-omV1_@?vZ|)6^0i5l+%bG{Xa;Q1fA#BF7n%yaY`FUU!kRvTF|a?{DB**%
zdt07s^`YTYq;cyp$q~#k1L82SH;hJ!w39A#He9dk=y!!5UxGfWOtB<iDbTc)9r*Tp
zxo802`4kN8mtN0npZ|zwC-N;n<lK3UhbCAt@jS>gbD|_Sg76Z!*^}Q~olhPQ7v`VL
zI6fJy2^ViMvz$RUFm6tgq<U*J2Qd>}o>G#jHAt%bWKT9BCJu9mEj=oLcS1mB)DXo`
zT5QtV%FC|{neR&8mD<ako;E9dFkonvT2&z*UI?LGi3lV!#gReQUKA&0!9gPgQ~=Ks
z`mBOXy|)uyP~LSRgLK-Z@If<jgtSVtl02u}kWAb6mrgf%Fo&aiAfKW96R~E@q2;3#
z!HOUpWtg+6+ULj-R|vfT@xkgnj!U~KS1KBaYu>HB#`{QxwjIJ0b%T<IpjU-iKl7Qq
zn(zR>?2RRfYQL7Wh6sL($O9#&6$-ywzgK$5Xa-7B`tet0l7zT)0HO60%iK!f0gB~H
z9qws4Ko?A#!^MeNaby5f<{02RlWGR&Cn9kBon&Y!f@3}z9cw4b;TtEtL6b#z@K6fN
zh8o&~DCi3HHyfjj&*={B6r``|hM2h57Ql)}8iBj=)}fC}*tm4$j?)|BeA=7oo+L&$
zW;F(nFdIXfiC{3b8T|S)u$#K3p_G9bC<1LY1LyrU-%ot)cFaFU?xC#Js5{f&OlWT9
zBh{VfFVv>Ls{96>cfrg43jluY2IP#N81M%a)l%DqOy8<L2!39Q*%4&I@>zzrs8ulc
zvCMafkz;UIE;LPyYCVKhzba~D)?=&C?7eAXiT-&iN((L@NYJ~8A?}2=qXb}Teg@fA
ziQDyHsdrw9X`8qs8N=IcVCZu8t8IV+pBN+Lwk3e6eC5j6{`B_t*`fqe=;3Izd|DtK
zp`t_#8?tJKft=>;e)ulfE-LHG>6lXa)ZQLs-z@R*z6`C61~q^dr^6VNA5|V&lSM3D
z(?k%V@3x4hvUEygOq-1_a|KQ*Iw*Kc7?>^ftw}<10kW%A2<a(Rb%w}G>@K5mu#UsU
zT@|9&dB>>VSf1moV!dhv87I@C{9GIPpo6MIXt~5AWCaD33~B(T*}dZ>S5`1V0|>;u
zkdMBWIW{X}BBoMeLU%<tJo;+F>~YWO4RiOsftG)-#W@yi>s8vN6z!s2=Y7f1!=yD0
z?V)KesD4R(M?pz4oEL3oC7$Q(CCJ{C`g`b$-zdQ=eM1Y-Yhzm>xH3uf`koj@PZrSW
zYIYC2D83<ua4z)FRir%HSJq6$ZmSYi$grAJh3-LvhnaHGANc#t7yN<_I+`Jf*$cF;
zJ09Q{TyMcCl+d}zwv#iJGE+0jrLE|7`knb7AJIn)wQ}+AS_8m<j_PeF$IR}^UL-qh
z9N`$r!lOv%Rqi|+KrLgUc5445U}1p|W3jc0L4UKUF`Lzc{FqH*!T%inS^1=vBC$}v
zwe*3#ce6!@CMnrd7=_gx?+zY+Cutm>f(iK!aT4`gZ~GEX0AJfA;eIFM715&@F8%bg
z5WV{gDzOqR9}<59Z@Z{@5RX*&s5#K}3_280uD(+*T{0<rwbLu<lB%UxhRY%5ClVAa
zO@l?0k1U?B3EuCCavot*{)%9JbI;nCY3qOxMLm;SYWtlX+e?E^Gwdz)Edks42>E&8
zzKR9~l6nBSMQQpL#lv+bVGzfYmV>R}b_c~;!(v>+sp96A1#;bK>1@zTySh%OQZiC`
z&1VBPN^(hRc0sZ!iQ~kr6|#Z!J(-!5l3;cLk}!wtN|j?m<guU>5_9xsmfOe-a?#vw
zN`ys(RqPA9AvGwI#z=jNM-#Zq;UCJRsM{4WnPF(VzNk_R`VHSD&sK<P*(48p`5oCj
zB(gee%f$5WIV{P&u4HE${I?e%sz*x_ai6!qVduL!oj+0*h${LpsBw>Qd+st&Y@=os
zED9>6fv(v81oAwtNr~bqkh53vm`?r0t>F3+<mL<h-6yBZ(JzD~rh1d;Od`)6uL%+o
z>Y74zmGm#Vs0gDDut-rALs<RT?blf6%;C{FSs1yWBZNipcR=*sUaR%%N6C%wzq4TH
z3%C6PvpU&UhLr|~@M(e~r5M{8cQws-w<9#q=^r1-e3dqJrb6!ha94e-U14n1)YtHt
z>DNRaR_)skZDt?Z#i;{nzj@Z(S=#b0Iu;-U%NlXZsi<Fa2gT}X&EgaurU`%a9$|L3
z^uMRUB4ICOmn#((EiI?p?+nVa%<y&8lnk4rprYCpFb^gIqSm8vTU|L<HLTc)mz7^8
zZL&a@yC`4ga3r+})q2%N)hJ<EVnT_O6V+c?TzENdF<AYRi|Sp~EHmz~6*YYsnx$S^
zF_)DGgYekmH#q^!2tU=n5S>tK^iV-nR%vt?kL;2PiV*Gro=6LEn0}|@wt`G6Lig1u
zFPX#wAj)I+`!ehVJRG(gTCw()*e=`T*HC5*FuF?^fpK3r|5<@VS$HeLQQHrpkL6X=
z;F*;^0J1L$pDVp6a_Fh^8#GqsX`o2DOpDGSF}{D>Qn9lv`#ZOOwRRGjpR|B@%Nmv%
z`p2Q5NvGyjp`Yi;`LlrqOrrs&vN_f_S8~sHMkxl8D>baFPP2WcC?iSU*~hMTc#6se
z^CWP|fYk)^ya5r8q;Mw>4dYtvK-iJYL%N*F0~MCTo%wLFCghcj9G71pbM-($!{v=0
z(Qwdx=Kjp9JxWrJ_W0Inc;}m#eWTBV*D$Z5ch33QbvKt|tK8z@a+bbxoleo%&ru#<
zoc><XIdoO5xXld_uf6g}ulymYV@P$k%|}<zB_<9r_E6(Ve7@=lKLXF;=l6t`TsBPl
z?h6aHH$Za8*URp`9WLQmn>Q1^K|F0#d8b@bCY{4<*6L1i!G2Fooz7-{`O62j4WG3Y
zhsV_R643u1MY1jBU#_u7SeNOK<~2f#9}i(UxK{TZ{(bB-s(P9*DGToa2{Ij9+1Fgw
zm!(|Ana5wII8d|xelgMcA`G@{UvOk{3~gu`1JIxUZ?|$Zfx@i3Sb;ZSAy+fV=aZo~
z{wrpf&eY{`Jto(3KFK{e2F}DJgAfZ|rCW(1dWHs?gVUMI5=YfoRyy*UEH`h>`u@x`
zK&t)kTYIY9HFZ;YiZ*wjt^zik5PCT|aggavOZ<O+vOKqRx+U~l;{Q@2NJh%T@|16c
z1bN@WZkTVxUj-z|;V`d8*bp%~`=wiDh+~d?&`6a$5fTTqp1-`bbNtDB=jc34eI#@E
z0B0w9aGkx-D?vT|ru~(hw2$G)tN+@YM5dk>nqn<m?TCzup@K2Sz;^YAAChub-R}`M
z4z6S6Kid6vCw&B@1`;&z>A%y<lPGHSETcUEjTrha|FH}`$G;kJv`B|dk$hZ+I}f)S
zQiON}p$^Co3#HAYWgf^5dVDGaX)A$|SyNtOHx23X`Y|UF@-d{)WqTE0Q~tyZ_Td?O
zo?{A4`lBLJe^dia-l311k4M7=KV}j(+(;{iA9Gyh`zad>dh%z}p7sPtUHwZ_YE<x$
zk$YmC!2tDOMv}E@)62=yY<GZqBPvHkugPQp{+XjE@zsmNwZ6kQdbpiIkW7@9*|(Zw
zeAB=pJeu!iGSuOJC8j$&ML{00WvdOAQC?0+CW^^VXv;wCz&M4Ds!?^5PKO=|PPWzo
zc4k@qI<a`jt37|6cchNu5*UVQ!Y$-wQ-9(B9McWcIn`ubku+CM1k)HAy-8L4l%3ex
z%Sq1exSyy-A2KY+->i;lH4M~9hSX6BX$2Cfghcg{*QYJLplZeF_%P#0)iYB6R~1a<
zGeFiF%$~bTZ}fV*B=`*6NO#s9k{+oXd7KC)X7stuybJYK+$?Vt+B5Eb{iitbz+3S=
z8Q9z?PW~u$NjN)0;H=TUlZU*pkI^RW(wNZ5P#(1#O|!dcfQpmoO>R`Ie=XMx&Mz(Y
zu$F_ymT~jzLqq4Fly!7mN)y2FGXO;}j4P+CI3O`d05)P}%FCuDCewrKRixqHpX*-T
zztX30l$BurX@KCq;;tL3GCE49esblgBDriQ<7#^s-JZPvj}>*Yo>@Cfp8QX)H!Bf4
zruC>i%p~%!Kv^)Y)whbdY_%&sT7T0bpfP?pfmCy@d5GIuZav<A4d}hOpGO;Xv~jve
zqXu8ersvz)e>tO8_fJmTqpeSs8&Eu-nWy)PT98KNXY{t@4QWt(4ZtJ;JkM&xtSAx6
zSC7Y*CAJQfBhwGakQ4r;j4HQh4R5kWa1<(Pq#H5DyxUMa1!r|LP|t$o5K6iSh_&vz
zv$d4U$5l0)z;D}DpfA6w$q_DHJw>2nyWzM>Ni8impvkp4)is|L!2KA9BmOe*x8hOt
z`G|b74tq2CQj|_nNnG)aYHGOV2~ZcG)h9&5a}@qgBTXiS)x0tuF0uo5A#5-Z#9?!T
znX-LPpNN}!E9H1h+muCC1L$2JfDy;b*Y~I^6y8N&wNkXG&KyWEg_9c-64VR7Zwchz
zocbwJrgfqm$mX4SMR1OYeUl%}6BHxgo&Ut}uK8E0V8uJX@|lg^f0{oofaeH+m+zJD
zjZ(hJwu$E9VyWq_oq;j4dZZ4Cfh)94J-+b5Eyocx#rK@wW`=vkPi9taRl0hL|1%+C
zUEQLP)rrLEemZ*hWFNI{siGf{P0@jm`Z&K7z>{wvRIT(G-~VO-dUaIWO^lr2_qU&w
zEnNjhWXZK;xpSi|36vflrFmbw^Sk{rfLy!~g?IAR_zOF6s_S|HMl%DDE~OVqVcy06
znGxLr24ONszy_@=b|_HUy25?4-)J?G=-7H~GM)vqMO2T-_e<B5#W)0(5bx$x%;^XI
z{syG*Ho3p&65cJnEqBaioxR1N*@jj*{Hp8A!zYJ8TzI#?+>ydjRMiX!;bNrnABOUy
znly^!IiY#j9q6JKs#i|Xkn`aTAqGa*O)FQQ7piyn$&=FzVKao6XREqu9BXAqz(zkZ
z{Jo+TGZ^R;2x2W8G30u(6Zp2u*#ShWV2#<mmjF2=xVZ*k-DYb5p{Z<RuC}T1pD`u>
zbA<SPe8k3?Qu@V<9BXsTPW_w31o;4cUs?S!uZgCDRIGnd4=bU9bYDH?T7mxOrAt+|
z*ORJXCi;k$lHs_~U@4=l4hnJDtlsM#QwS^gBTti~Y`e7QnSRgH|6XC#oeb6Vx&k(;
zlSx}D%A^j2#y2_pfCX{0t!Vh7a1K5G%(r0wV;v?DYwyrzK|l91el_G;#EFfWK*WCw
z+00xAkfsP&#-AYFlCY6VeV5Mr(h$OmPoQ!=1AOrG-X88oo4wt__IQ^!U%ZMbdD*o-
z1Ugj5XjN;|gNb(q4!Xao=RQVDSOMsUd>MrHF8v00j%I4}rHN|)X`WR8D<Q16U<&^^
zrA>d9UrWRj`y~71MRmK1MYZ;_R`0>4SmV0{F)OyQKnd4=k@e?U-+<Qg9?;h(w-l&!
z+5v{q3KUwPe66V#+j^`3LC2vYP_cDp>9Zgut`7(-rq2Lsy>%}rz6Tvyttzhaj=rhH
zpG!wakkSQVIG7wh$m&l3*y^@;9=HHJ+2Cjz$c924*hTMX9~M?(i883-LNjV6^BaUw
zJ#-(sXE8|c2>2V%WK*7wmpmh#`PT}s?rP%8of!GIuXzz-jtfQ?%d>y9-c-^0trUeU
zxOTS-+)+K_fL|wjiElZ8$PNRI)}!5=1x3H@w=%GKsQL`VYT*ZY=Mc*~1sL2Xq|Def
zArTyi!Wkmx8y|N@<vrj0cqF8~8o6K&A^_jU$zGOrv6=ySyVL~L)D|Ga1tC16wtW-Y
z&dC9AO52?uZ<$M69X*AJ7Vki%r0MdP(_?cE*dnWYb&kUiZomIWaQ0u}1*y@8pmX0r
zg|_k>Mo{q6fZ8@rsEk~+|G42*(^3G@<F6ee!11j+zLUCmdmcCfrwB&?0($I?LhbKa
zSN*bX_WXAcj{0)X`wu@*f6_%jF&fUtmk&RPj*caLWCG&#7nWQyU8lE(%M>#?)A4tn
z_8JD$m~DAL%ysbYnfm|?U<TN(LG-U67b&PGr1B8d-Kv*;d)f37l8b=E6)m#gO2nzH
z>vcTZmz|_%b$yur$L(Sf2-{ze*AG4K+yrepJ%8|fgLx!CXhi|$>>d!%zlK`^C-Sy-
zJp>DpI+%EAjHGWA%3?)Y{GZK;V_Yg9mbFf)Z#CZUsqe=U^;>(qQB7UD=<z_tOhJbi
zxKQ27<jj(A<{jtXKiR}~0foERwnmo-1ESLbEPq|&H01f!{GaP_1n7htusO3G6v;u|
z2BIi0q<!PMxIkELzlwHB>vsU5PZ`e&TT<pIG=cW#P(`3f-j!Yn`v@W>(>QbzGl>Jv
ziV*7qg0MhZLLXo?+jNa!aTFMY5(W?tx4Alx7wK|J`}s&8{7bp*g%BQVH=x&v9F8!`
zp~}OAS|Fypz^9w)dhZp&9JUG-27}H7p?7zaV(v}V0A2dUlA<pCxA?%wCV|H>+96wD
z*D%8562$m~+uND$asUd%kni7hJwN!yQCv41s{q@Mdm>>u@1Ju}zzwBfLt&CNFemvy
zoTz{$5MUAlp36{rUHt;Yxc3k+v!+P~57H;?3jA(lOzpmJ|8@2Rdx*!;hGC-=D9+X+
z`sYmp{FD(??lR9C^Oi6P8R<4sEpiD+q&i0^r6(-C4`cKgLQm|h;0N1Af@J!%`P>_i
zOKRiK(R^m>J&%@LRd{bH$D6bDx3PnhLYU@W!9i{`Pfb2g*0JSGRSAn)71w#l5`+%|
z2p5a4A7BYE6P&VOQYoT$W_yxjS$6^K&nW;%I=fx99JL1NvMXrKa+_m?DJ%wRfLZPy
zFGiT2nJE1Wlu|P8S_GRtr<(6Z1t171^rS%)SAc~rv}(iO%zXM?wbCtV&wUdZ9O*{x
z3AzHOO~M6`_@?{xL+(0zgBn$LEk8=Y?-7PEgDh*vsXbk)#=+1WBl~sXIjl8IRNYRA
z%4!-ky3uGE5J2bVR<ZZ9A9k{|M$5f{5910>e2*18kgs4K@LZ34PqZTMu^32J5UX_2
zM9R3kg<(V2IR_zgrz2_PrWw43;-O<ZcfPwi_9|>yXG6Xs(?TwKwi_y3$7Ln9{ndYQ
zP(aKnM!X>v6mR>GEMNQId-foE;@=exspv!I)!V~rBR22#%N<tp<P+Y{ZSzH06^Swq
zT+eFDxQd@27X^6I`{pQsS`j(<k3rP2(5TJTqyaTl8domcFQ%YoGtXHL-|tq*_v09j
z2vR*a!>z;+l`l`T+|aXuC<=>0&t#O25~lhFz{@)7LCrzRu7I&IwP)EsB5Pz%6^J9f
zkON9{M4n3@xtRk*s1Q^(OuR^1_l}tIk>{!mrMn$S532Y?DD+rE@xURp4vNhAhbhoP
zl>MbO!b(&<8MwfR0)QbP;WKv51K`lz>ScWdAB}<=?fwNgNg&1*{HlG-VMG2gvN<4h
z>ZXF1%RO;+j+CY7SMIk6RVN&M8sc>CX3NMAa98JahPRInKg~0zL?z_#*p?90cWSVC
zel&S!dDyAJ;`xlV!03O*ado@4CR`ljF#$qM7MKr2UQ~Qq*_(P4adsqcOj&H!+m12L
zJgE|(Pk`<{wn~!OO%jK;UP;|0oBN6@<yaF=SOpdB6NrY5!8w&^Ht}11V99W-PRed-
z+lU<R7=aKxRAe%RwBqOu8jp?4#GDKdX&w876&qUA15mpvFKJ_ODbxyG+Rt9PRrL~p
z{;HlB-ImI8BRznrO@nl*ozFb%^yVaL)7$Di#zErxush4zutO+_g3=~c3fv=(A?28D
zZ+RoI*;9JqFZzkqpJ+VozsOV)<)czQdIPxSDi%%DsrDZNCq8bRo%<d}S7m2WF3l+y
zAdet6L7wJ(L{7v&1?e*d$sE#bX?k#Dq}<jiIjs&K7IEssW7L0Bk@{a36oheMUWgv?
zr+8@GfrD}Xn;ymMtd*GgBs(3)qExiyBzqa)H)!6}++HTXDnPO<((<__J!d}|u)Uyu
zR_uM%^Tss`RoYE>53R|!N{XxM^R2*8M=w;_mNtTejx&LEnV(O`=<mWov5D6Mgo53z
zZ85Gix!u_t)l#f*Sta67M<2KZa@`6$8FII~q(;3(^C5;&dkMZ0r6im=go8QM352Ca
ztHlT>Q|ND(Q}xcciy?&6Hr?oKzT+*0=d*{g5QsE|JhEW)UnWfs*pU7z@&#jP2F%ON
z^R>)i+ERCdL6$lEoR|gF64s1|MK_bQ*yy$@+Ovn`S_WTol;vgVNroJ=K_KVkcV3`Q
z19LsO*em(1LPpbnpKZfX6_;%C{xv^o$NM40h>Kt$>T-5?_|KFyk=5Fa-h*E~C@y2G
zESo1-Z^!|ypT>tx1yxKNK+m=`=tAJk5qs*L#Pj*^n!SdL{%aLDv4+SDo&$d1ARNxA
z@AnRV6yWF}_Zf-@KGl8n3uN0()V^X!jQJshQZzJ%NR#yZ4P|Eq#-FdLz@IaQzTz5Y
zQKBtM&GB%M?-NIP;031XdS^237PyENM?L)UB=tS>=AFhkRqEv{sax;iPd?vl3?%mh
z*^8{2tCniyNZ1*Xo8<6a15UYg>u9SI?}8Ave1V>+>Hl_hqe;+fl&eCmatW#g*L=C-
zWkbJ`x_hnf?EZ-0o9YUm{juV_ZkY4+j^v%Odp1vz+q!CgB-8b)N9|8RPY<j;`7U~P
z#KkP^$gec$JaEgbp|!dKT-`>|ANdy$xDV^1sm0Nw31a!dX!isBbml)hC%>^@y|Kh#
z2gpYM^gxUBrBtMUx8blrp40~wCJ<FnscsOyxmhDDv^=iVmt$MNR#l%lz>-JjEYtTQ
zqlCB7^Wr2Q)r7&_uQdJ>UMPF&^<u$RnzQ@Qw?irP-`&gp81E^6FJO<dMRS!yBD>d)
z=87sUA4$m+;n2oe<iNE1TGd!C^4<3gwV5mh2PSrlh<481COJ%59EDX^d4h2Rguf3t
z!ngC!2Ub_lL$^ac=f;LnuZz(u35lThn|V*aoc~^ac)SyiB55DSdeU7JJVBY<q4K?2
zSiRIS7v;dUejd@0-ReG9&DP=0UvMqU_np*3SdaY0ov+?BFE{|#^rLR>UG&U@h4$5{
zz+~@|<-=x`2VVwkG^w7w4maVdlUi}!ZTJNzZMRIRHuxoD@$&ZYME3HinG|QduM>s+
z&EtDM{ppQ2{*#*5;YMzNT@PZI@5w@!7&bs~Kcg?)sLV<DVsrVyEbRmKaOs@;RSwlI
zze$ex8C^WzlwPJMS#pl>d0yD1Jy??H3EoM>F?>dn-x59?j-ayK9^S9(S8@J~LmYuL
ze$nTQXxhNU(h|W_ZbTn=k5oC>BIf^#{#6C`0RF<_hDNalslTeb{qn0FnZB}#{j;@f
zfqBX=E|rUDGJ89ujMRyYZY0%$(C1@5M#0U-k?Zi;x>^(E5=CZ2|3s~bpbmT{gkqB!
z99OVgclfvlAnrE6%wVn)%eicR?Q1XdJWuPNACS4Gy?yF=sLnf&6<p<My|dHkPT}y|
zhDOid{?f65p<=7Jv*K+#7tIqJLJN9RdKq-Yp3t}hfjXR%c~y97n2iS?=WC!IDK@t=
zjgajO<L&81C5yU?V8`CC7&Fp{Po?Am-TqWb)?_AxBm1geY<0)&g*wr{(^gwf_9o01
zk=Xr=xPMnaEhN3^3^9D?IzCmCzweM=Q>Ltab+@moJ<jC2&c@>EXHeei&IgapT=aEd
z_Rz0^>K|Z_%)77C%+}n|7VmhTNh)BADEeT0?u;K!qd$w8D6+6tdo?wmwcqzhZnDgI
zQta1)T^v)$Z`vKIDaPxn=Z+Xla4E`Kr~4SnP9c0TI4DIYDO*)0Aw)`YBBb=%vZ%)3
z#j{}ZaoR5F7>;3(g>jRMpRL6G1lx`P=E7>x#%8uh_CLSTDy=PQK!|(Bb9!R2yjMLl
z_$fcb?@jTHY=u{df(DU;#V63a=%{n?O*3+Es^;v9mczQA!e+W1U}FNGiBZO6@Ne7g
zmJLX(t>#ZwfTFQO;4Y!;b$;}=nTGlCKV2rx>T5e|lk|J6W|2PeOVR0Cy=ykpFT6VH
zHoa}fFH@-rpu4z7uJRlbe96gg26kJFqZ$uehkS1Ql9Qni=h0eUisIq=fDkWKcewdZ
z>dCyfr1Z+7{AQI}qP7_Y8BQQYT(=RN9UnBOZcZqXn8bXY{h@%%a!M%cy>DJkBDWSr
z#1T}xk6P?(GYvl;ibTeRj|wSDTs|;Pidy$)I?lu)PWU^})!easUx?r})wIVOfj8rc
zAE`PnnN_Ih7t?E2o-YOHj6l=qxMV>>)Wvi6y(Vo}-#5*Trbj2&a<eJyqATZ)T})5r
zx!i2pmB6#jTLP!pQF3_~JQ}N`R3aPiAF4$inrL|in}KIT#Wl{S=dYiUaO*W@6l=kB
zho|;sIjv@@5Vce9*Nh3k&(L-}Jbt+zi$UfezE{@)Ju*qidsCkx<o(~z?M1W(Jrap3
zWDM)L4W>{Mnir@_u>p8(pXe?ZFv^>;I8Iv$>;G$lK6(dD(7=>pJF%quRpbcIb#VpI
z%XM{UPycjF_5ST;qcuiBn{Edi61Dph6kka_K)9ImgVXSXfbqN3Ae<{vBDcqp&_=I8
z3w^385vz-5gZtvz)^tA$J{LOKyn8e>1G(+4M;iI)o1|1!umuD(=Mwce8=z_b*e_he
zh^-@6L;WzP)u&?cHL%fHfTCl3dp%SVp2CHol3U>$3>@+d?uXpp?_*cwI6w=F8qMEM
z{U2K+#=rnvmA?QQmv*=~v|gp6lI6ClMm^2_w6-X}0bO%}?2r*=vuSv@?VZWrd8f-(
zY22}%LT200u!A^QFtXqOa6%5Pd<Sb!t~gK#adHOZ473G<iULbLt?y~07l?VdiJYJA
zCqyd*-$DRw$Aljqk@)Xn_rc)jbU+wQx}9Ft*?Fa7mw$Luo9mqMrxKNpo)pRBVjLx&
z44Ef>rjz6~q}>OFLnctW`ka94=#TV2m*yV8du9p9lR_9}HozZL+KD2kV#*6kz!2gZ
z=lV{}!|?z2seyAd)sC10OIOFm-Y@-+lC6s}K~X3*(t7*yf7a@No_R{H|7*|rV2NWU
zni_BDu=RXXh%^1~wFOjTQUo=*;a(t-2=%QH$Ylie7)YIWrZfdnnk@d=*f0|t9_9RB
z2AmHn3i}cB^TfzZ>&(0Jl#ddTtTSB?x^DmIe9HtC*)0dQNy>6?q0a(^{?e}ZqrC?~
zF%QlZUxWYrj!(+bKTI9EbzBmbIsQ}=bL9%pc$`))uV}p)aer&wvKrlj-Ju{#ixD@)
zhEl?xA;bL}YjXKV#b6pgjT$w2K_KmQ3pkFg4}-I$0=T}R^rcItzd49YCoc)s;s!ph
zkHV8L7$5z+Gx|$C``6&F`uh6T@YlS9iZ3tvkr?SZ3xn;%@Hlgt-tih+fWKL*I%FIV
z>Y)oJi;8r*kH=b}hHhjo6{xpOQrhvwI#b+SG)oxgId=V*^fyy=iumJ@*R#^L|2==O
z$M5Y2+;zYF8Wf9fRp9>}{LH!NpAYgu0pI|wu)EK{N)d*+-L)0>oOU4Uv-$ywl7s4e
z$rR68r|i#`57c`ei|TRSKX)|EfPoRrA(ODpv#Ddzk)%Tw4jMQ32sjlbM1e2!CnQr&
zLIv}jfcb6+D9*YC+nht6|GhhyYd6&Nmi4Q#GV_^hClzz8zr|l0Yxzc#lvq%vW2;~O
z|MIpIaPJ=urhB9Gyt_mO_HQr1w!P!s`lI1;AWV^RSSyzQGg?FvhuoiM7wK)z-j8X6
zS~Nu_Ta}8-Td+=}EFo$g``fu1x(pxaLFS9I*0Bm6I=xYAYN#23Xp;QP$O+-*JqPZn
z4?xJIY_jJ4dBQ)F^T?B9Z<D0Zc%_@{8*Rgm&96k)<FMy9kIor9Y)b?WCWRhc|DL}7
z_velbGh%+QyX^suCj(SKNg14MsXhATNm~ShK_5Op{-6xh7@OX+u|Up$R>7LEpTbq;
zjw7(y`-82}w@(w2)C(f6ZQLyf^hDFRXEqfnU|l{~^)cJ)L@&mhJ>4{m9e4~lk8WLn
zp$*{^qJRxr4wyKJ>VZ9$m5Tb|P_^T_FkcUn{69OXNPN}j9t9E0vUnKO|D$&m-b)XG
zAwG~uM&i*x{#3Ht$K^;p6=m4kE{xjh@jf4TKK(XST0V}T#_j6-_#;4~1XWHLVW021
zHmZOU+95*IqHq5>5ono<d<gD{8W1UQL4Wl>Z#*#uQeqy2cYE3gD^wHhB3XOD3SJ9R
z|9f8_+Ar2?&R@)(M11!jyy$mrU<%h0*7@h#n^)~{gYiA;a%zv7>%lSE<?7;Oy^8N7
zz4fN6lV(&?K-{4g2UjAfC!ITEc;9pJnPj(=61v7lpowJqL=EX$OTI^>KQxHfW3NHM
z&|zS<wX3w718Y%XvG!nLiUV;4X_#s_C0H|yo~5~8)e$zlS{&Eg2AcgyK-+O!$#Phe
zmCIz$k~QYwLz9FH<o@Bkgu`IYBsYTkXby0!<5aZV&fZr=sS{iWRUyeP&}3M+Ai3KE
z(3mZOc2b#!=k{gmcDknw_z%6U=lAu#g3^h@;NRM<7RMH=V}OX6Aany>Bm3YXKnm8j
z;rwq$Qz^9m$!fh|po-TiZiD;Xm)mJ>%}xTJpQO(v&qL;Ns4$FC|2Hn1f2P8yX0IrE
zM^y1Wfhh6-F9D=v%zB*$K54BUynVjKq{+(L_e5kWG<=?IZ8&&>K<y?iyLfT;G7SJ*
z-!tnae@X@0^Ef-dK54XD8wFMC+t<+3Z#Q1;*!={R2@RvWa0Wo}P{;E_@GbMAF5hNd
zK7yu92UWHBIlL1*P4VWuPIQUZ0WtCu2mvJQoB+}6Go*;tIX)|10`sJ}s=^w-`oDfy
z{qQ&k5Jg0fTIjB0fI<8A6c7Y+07{g1T}P<$pDkyTE9ayC#J<Sq(On+fhSBX`{0Jbz
zf7#AH1eHN~F@!aztt_XJIQM9$!t{!&7AHnGeat5K^bu)Zqu<ocNwOM<$+Ui59V9j0
zV=Ms`*PXy^I0Z-(Tly&j!C(y!e)GF5eTeSQsUlQg<Y%l3S0-eAu8TefJm)MBAc&*y
zw2vW6`y&Bj6+b~3`3tDE+2r)w7O;+|0OI>6zV|5#C#bdN1fn!QKtHNLPIi%>XHUG(
z<9zG7SW^a}db8~i3jK3jaQ`$|LY0AS_)a7_uU}F9Z=FLM5s8k$x32*{Vgu-(Lf~It
zyNLo%cAvFBpMLfSscjQq&c`VVU*I#hdcYOup>ao)K)Ubg8K^F=M0ES{CvcXY-hPAB
z52?MUa^DW1BA6J-xa2%OJc>~AgRwVsum_dXWPs=M6Hv>403*BVkZbn2EcqW$GcLP!
zx2C6VniSE5Q6-z?0*37ua4e6E5?+G+sP+OCM}LA9OyG+d(^`U--UFx>;Gz}qX?_B0
z^u&na_2pT>)RMMmh=zUnn2z;XvR~lQN15Un(|jx)kDW)+(tT`Z(1t0oqUU|(e8_;P
zk!M|F_A>nEq|&dY`|_$aYCteu=l6_f{$xVqI#>A53olnh!Om*$PX(ib!dr#yyti2u
zpEII&a1muB)TF~vCKB~MM)QWCSTE|d<n=!OIVg7d1j=79!fQND5piT)T!-sz_*{WG
zFUW|BYz>IlN8oo*>?0xV@7Q@yJI&MM4PEJ&CTMOzo_He+-5UMNB{ERt%x3V|U)VRJ
z^)aC*tF+Us+j3+%h@(-ei5R!zh=MrD&BaJp-V+xmTH-v1AoGdj)jcp|td4**N%<BP
z3AT@cgr$#v|JSWWwLoYB9i_})w!`@Dr$_1ATwktB3N>a(d2ZVxDSi(;6Y@B+IGhm;
z7zSY|i&pAi$hWtz!B{0%!?+Lm7Mie1u%rX^1HKEjk~Qdexn@_R;_YuT-B<RtWp+bu
zgqy;%g_&`UC|;;D1Ps;7U&CD%2=rxV>VXg*u>NbmPJ9z}A7lRl^z!U!`@mqE+#`A$
zs(tm$B)!qCs~M$ef<87D&^vm{UDIo^|LlA(uRJHgimsLRp3b(RV!O0R?~cU$9%DgZ
zlaP?am1avnfqx}(x%x?&dg^e$H48)NPU2}cT`RgAWdN?IQl~jc$P3B>h?;g7R|u2S
zuU~dfRrL1s>~BtL=PCBJxQ+}kkOV>9Sf=i4aMYw|Lf+p82ekK(X;6s+s6;K{!f;2x
zvI!2w9tu8bkT~dM`fObZq_O0^kB%_?Q>rX1KOz^n^!s8k94A8r>ZnKs$-`}@Rk-U-
zYF@%6p^f}!>hb1i_}6Tr*@r6_Z$lA70{)$W`lqr<P{~<^@6QN5eg)dn1z5grm?rXo
z8-PP;OqVl&ReX-a+7GT{Xc*EAuyZ=1H)3Gk$GC0j|9U}YcLNVH$rnzW4_)0~j^K~5
zyDy9RrsRrvR>JA_(0iLtDuH?)qg)5;3Lc|_5uV`4IN&$*&l+}Dd42Sri>F@P@oDqX
zL6KhJ<F_ib@<oyNejm8O-A|v`xR_4ch&U&MQVImO;5HLMm<%zP;xK$zUi$UXmo-&l
z7&c7!lA7i-R6W`$4y^o%@&UA!W-dEZqc(8?G&K&t(4<3OHvTWxzB?Z4zkR#%O@mO`
zGYt(QWRoIPvgNXcBztG?86lOuvPr0HLU!4EXJ)4Cne?1*)m8WX{oeQUdVash>*e3i
z_4&NVIgax<j}u1wCLgx5p(Tpnt3t-gU{630Pt;G=DkGf#+>-CS$JsoW_^}np>sz5x
ztGji#ba)I?wn>6U0*J2f+LtLCw~zh-D{5`opzs(*LntNVyw*MU3zb5jfkLqmq1rV|
z;nr670(b6)tNMi|mX~1prtIQ{eVWD~_?8$X3iUa}-y;-pK%fI}4{<!9b4z%G$KX!;
zk1J7juO|&ZB>Jr1uZEK5R@_(ZNU|)>suxhnVLi9(tMIDNCaHU{&!<C(V!jr#2s~yv
zC48ara{v0=>@(4r_MQb>iLQheoXob&m^owh2|>cLQl5;DQg-UWwe{*$S|{co?Yl}@
zBub`g>S~K?1jRd6we#!WNBvkHwzyn#e^efFZU2q^0zMaf%D~#!ioVgr)3FuHQk~K?
z7>AO5!;)4HgKx%Dn8A7Q5H<J9T=zW4V8b(fh+K%=rcP>6R~_IrSck^)6w$G#O%UYu
zJjH1asIZ>E8xnTlx8BF<ML=EE41-@=`&xx-30V>Sr|8bqL9PCo=joaHMH=(o0VjFy
z5~&f1P5l*v@?zbAeT1}zMNg)#hTxUlC=J5FOlk6+k7*XxJ=}AQ(siGA+ATPopQfI=
zVJu1MU7Gpk_>Yn{a|^X3s1rp)@64kDj(FcV;E<Wy>^@PlYPUN>^672{1hCK%gKk6l
z@h=PbySCk3yvOBAWPdFs9!Im*j|7&w_(gi{^pV1k<>kYp7_EmFSKDlqxCqslUyN~P
z6~A?*ogyD0A~KwGw<%}8J@pX45KHf4+w*V83AD@0PZ3>Rr|_U9xaoR9sCK`Zcx-FE
z2kiu2)$u$jA^9tc6?9GkpS_?Z%E+;d@hUM$lIR}Jiyl>Cr*3c?ICkOH_)(gyS;v=C
zmq#})`|wz9-*D6c?XxNnWRkQ|Cyc(dpVNol^6fG5g+ianIa3$>B7=2`Oh|i&_A^-$
z1_|cHY2h(d9f@%jHr$_V9@iaX63|kaZE2(M(qyRguJ|W#;(AxP3Op|uNlnoU`pEK6
z?qhz`jYbu|)MWCQq4%bKygc2P`^AdHE|>h=U^AS%QPxBszXpg)83nAeWk=U9*Df7i
z&(PKX6GX%y5V4}MJ3m^SRu!MQbcyzae~IeUhzkXkE2gd%&FCVy>iWnv6*M9CwR(Jh
zIAwgL<HgI0gA)e)mEO!puO22)E6-M6*U`-AKF1FbTMd`TDGyR!i5_!Br;)-dhDSZu
znMzDs>SV>wcNQIL&r6;n9V2`hqCSNy^dh9jeZKN+;*_su{mDEhx1*+e159_}bC<Kb
zbY{v9y(1~T!Lom1Rei}t@f}4o*Ky8KGpSmy0+CP>ZC4VW(EA^a3dO6{J=M<zZ!r)~
z=W+?)awLQyIALAloRgei2E)2(xi?Xa*;{+hd3tXnwsnbN7zTdSVo<UNdv+|&#d}`?
z%=wWP71@A8;r-4*D-6qhW-q(3kF4ql4>E6>=ckbjyIOl7et(weWv*9SLS)=WpY<H^
zHSQ6mGP)DfEo|K~p?2T4L!#|;UX9S1P<5irytxBUtD=;dNbJ&XS&p38EAnA6R-NPG
zi6IpG^5^&)@$~F*H=-|?H=(}bPe^YlTuw?s-5b@1P1Mv<H%R^w=fOM>^dY5w>?V2J
zo<)JB_Q97Uc^ad;o-PKc4RXkSuY<g5dEzp@fu`LHebHAatup1mnAiI(d#z;7vDt9?
zt?<nHXC_JMN)uA&<pjF$Ne0<s>{{S)l>NL%{{{r9ZZIB{?B23eeMK%E2Ti$VEi;sr
zn%9kd>)>!z%JlZyTeP%R7Q4^$|5aLZR@0`NAfT`&+b-=-U|$0kxe<>`W9UA!tto54
zdXxRbi}$B(GPg+frWiQ!W-6j2U7>{go|XT|%S28QgtE}fP#gFQ+FaU07&&HhFDk}s
z4X*^$2Pej#pEXXq{tJm<?vNn+$F-WQ(~vPOnn)S*t%h~c>hyD0=q4u+*O!yWjq*?r
zVT#FedB!N{`XcpCM@96nKtV0TZhU14pqi%0f5!&-G26aw?HqzM7$!)@fay$~Q&eNB
zC>t5SlV5&8LuGcr?Yzb|yt#q$psqA^Y$D?sq5D5rfsu{kZ>#;yAB&+oF8@6hi)OU}
zne0DVzW<jUqvEwpwY~ls`bhOE4{<T+4@wqb-O|6_2giOerPafud~>V_=Pz8u5JzQh
zOc!XeLhhruGWx8O!>jUfA7I9ijE44sjB4PQvhPlSp_KSW<RATl4Hlw&r!=K!*ZC7u
zg_^k@;6uuKgO}Fb&6h!>d^#dFfDxsLzPDHil-0DknbIU=&@G1ak>xX>4h%z9T}mm9
z(-F{PNo)m_&s5cps^9z7=r(?b2=-s^ZwT>!+5Z=wgW&G2)lysBtaezr5TbR{{YSpc
zOx%y%rYL@8W#!bgw6x9~>Pi?VtOsO0YD~FN!Pdr}b2QB)*8k~rLGUSabj6kL7bwC<
z$6>VqD0XPnbAJR62Rzy5G4K;16P?!~pZ_*7ad%0~Q(cFlaAmZEUMezvxZw%T3JoDF
z%V?S>%gLgebuHO%RquAGO!-rB1+={S)R|5u@O3tu#G)4}xq1&yh4`>av4mmo@{+9l
zzSFP9EUu-^5Fuc<!1fq(Cg^px!?dS{Zpbp@db4%g-S*-Y7`yeGZ7l7T=Z#_f5<hI&
zC{;`1x0}SS`Z?LYj7(PQkdEY3s1yxC5_}WzxIH5sjaS@pZ#9s8e>DTxs!U<(1MGJe
zN9?VCe+;11_6hWrkz!pXjQK3GT!cM^TV}RtI;Ux}NMlx=)c?~V%4@NQVdD3?UMRuv
zE{zCoGp%X|$Vcueo4-HhS0^GdfW1wfOp21Yuu;*R$f9uC-cc)QV-=a1NNX`D>l?7u
zVb|zTpfJ_B>>0you@KPC!7$i&=Jh58)CSw6f&ZNV{I$r5rs)2=1|49;uL1y+N_Q)f
z7Q1|S91>VlXt;O=VP=sjLQ<YFjSiT8Q!rI{wT|jRg|TY3)tIun%P|OigJMi9B1I$O
z4Ow}T3fB@-u;9?o+LoZ`EI$;Pm?QhT1{@swJ4L&?;&ak5ImR&u1xW1jmef910xr&i
zKW8gC?sR|r!4*eF99vef-^>NWd(aT?RH@iYcd2xztyVfQa<u_8OBIv@CRk7@j^QfS
zksHy9@att?6k~SIdy}Kf^4||CErB-A+?%C_B|Ej^`{)0^n1Z~PNOoNUM*#6JTFuDM
zbZ5~aSb%_k{xaNMIfE}q+kl6Mx$}?8$r95a`1{sr!>#oNW?}chk;O^8R7-x$z<;t5
zu%E(&0#5;B$$M@)!){j{hWqa|jnBQgIXPjW;kuYYnmpA_yEGoMbdvyw^(Ro739JwL
z=rE!s%cpZp8$fA03wi)k1(G=uh|q}#utyT%7PlTES+PqAWbwWstUt<9eDygc;gC(L
z#DBM_YRnhl+h544UDE;>x&Lte?4nI_!0)nJ?f5nGQd8EnXoRbN;34{?9L78r5q=V?
zR2Tw%!1g^dA|SA*KzPgbGKIJjNsl{m4mAgVK;91KT4Rj&9XJb34GT9EvMZZSt>y-!
z5s9|+OIs42CYej~QMN)w9$WGLA9c2r4u@CeiFtLq$Xf!`?Us&Bz!&9loX~@eco1fg
zivW_dO8_$d3Bh}C3HYLc88?x?f<~}kbZWK1Ua$wGWhWJX9I5;WwGI0(Y!6F^tZS=h
zB2Un5qhe0>$Tj`ap4+l2aLLpoEYR;r)Nn9fN57--eG}6MWXy(ilAV$D^W^|230G*I
zUzfAv_PcZZ$Sdqcdy;CKME=9#4k_PP3QZ=CZ8oOe>Z%xyq>BCVL*qBJN_(_q?R5Zf
zoo;mP>8@BN?|yi4C(t{@@6^u=MHgkzpg5$!?~DkwZHP^%o*XmtM>J(i`XfTf(7_BQ
zEqrK{i_^tyD6hO;nz$>l6_j=r&&TV~)GHsH2OFba%3>UBJBX#zpK+8Eplj_gDo_tp
zhH`+I7=~e{wrsg_5r%NtLE$b{EKo%7rS|nab!zMycB)8qFMthhOfNATaNxP0q((XP
zfuF?ge(+>ReN#f@O1@-CGrr+qZtZb5mO1!kMeHv#K?K*JFUpD{IN+Yq%yg!Q_9iRY
z8G%T}gnSdo1@L>lF)x3FjaryR?sEIn(4E-Jc+|L*x|m<Gk4eJIz5JZ*6>U_?>q|JI
zRx<HQPQ_XE-1=e+i`#go^aEsYf`md657#S)(Pl@;;G^i&#R<T~X~5y0k*V9bb}4Ef
z>H|if-dmU59RS0_RNq6wSgTV=Qsg!E&s8n`t?<mjfl$(j2K(Nv&YTJF4z?uEDS|~i
zHiJPc`R{tD{#3GAlS7(Zn|YTwV)yB|eJ$TNyUV5!u;}hQ=FgQ}O{&6VDOp%8g$?xb
zh0<FLDtG16sunL21a$MN7ZSFfU9+=FYvN~<W|(+bP+yw=u?7!E$C;(Iek<E{iT2`b
z*f#+;X-u69A8hGBp`X>swQNR(Enjhp)EWq0zs^?@>H!lf1?K88kCM$*-6%{C#V%^9
z3f~XARG+)#pVgs(Pp-Q3q$UQ#Z#lwnGrZ*n&bAS+#Z=phq5hKf_n2>uYn;V4`~u$x
zPaCBg(6+dHeUA9TK9sq1wbm0|62<K$pO|jtuzd<EY4|-TWP|~4B4}!%ZAk^_wRABI
zqLGs7G5>gS$NM&FQiPiQTkU4Xk5BXo_b%4p_f2}G+*>7EdidZVf4<$!843tX-_J8q
zB*o-PA4#c^#Z@JTIO>Gx!)L$&Zvp9(%h0^?T)d$o;E&+>>d#`W`DceQxwy%idl`0}
zM=X@A30kw8qVOKSh)mhj>?uHVq7m>5y_%&!jKTQ^I#*F>@IWMs5t4%f_N$2qW=zh`
z?~oPGjaSi23U0vj`^N-bm2YTWeyWhw*UsPB)}hlVq_j%aet&CY<a`bOhxlm)AsP}F
z2tIaSYv#FwAFIZblKO=z4AnwESar8PI31%H#O5fPMb3V<BfbVe6uj#DKWtQ}!6a4e
z!IGJWH>@TWU!-p;;A&~Yk~0O*d!O)XW_IpPJ+1TXJm3f>vpuhtfoqU=JP@opqt$E=
zt5N_q`o-gD{pt39yl4>5>`A^|r})+rmv=qA5nV_=6FjLZJyds@7D9k}_s*A>tj^=t
zmx(rq!aH`;MuoHM%7!wlEw3Eh=&JWy`w>z$;ZYDs!ebxFcG9C1vvh&Ox5eVHMQ1@k
zoVsn(-jxjekL8e{@GBnrB-dT>a?4=Z0U0-d8j{N0_qBtf_dP(QGp3+(gQG1Ya)Y!!
z^w*=w=<=MjYIP%}&f6Q8sun9R%xu`gDP3?j2sUY5Ul`(N$7Ha3S4x=%-=8rYBMoQl
zSM5}%n1_5wK;vf3m{@m(jegv<Ep|AJFRd(~0HX5O^?c(GQvm44>x8Ox3D#ZX$5ukg
z^pyeAMm!nx5y6{&yM=SN*cKFu8ri<8GYqgTOb9pJsyxDnv28jEA5{PjuQ|BTrgmDH
z+{B1j=^F}?z?Ou9ki6*Bu+htM+==SxsV^fN{88_E<Al98WkhD^f5ptj((NaIUp^Mj
zIE+NYEjvvchWW&eCjp_lA3F2dj-l^3n>;=WmHFCS(Z{-QAfur%;35c&+d=%H2j!ha
zSDbxquyP`xRJ2zjhCiHh&_;WM$>TWovrfyeid0}f?9u|n3(|6Oa_RNv_(%?@ENs!S
zllMK_QIqw^uK_%I+lgZvnXa31xI)N&{`G02rX%-)hEu1#B65AeF1P|s59dFFyg?3V
zwV(pN3VYZOP5_6YD39oGb5<*hvHHp8fZJWQkDd!kR+IvEIfor6a2?7D3wyWBNbGEV
z3iS)cmrm0(!#9Vr5&6RXhzo0G$;|ZJFiVfAM0>Yu0|bE*z`X~f-if8QWyqZZkq#2?
z?90ju-KQtqu$h=SQ|`f%Be(@C!+jf>RHLIagC%?*rP1i%f7Hc{y8|+U=U(ZjCKjDE
zZO(H4_}JqA^s#V4L;)cZ_+VatKBrSb#Z!cZTHx0P@{KI!d-?q!f*{*cUt~S*lx?hj
zQ!7*XOWW4<+9fsXl@xrB+i*|!cP;s+8EBSnJzsl?PKn{CiNj*lnt9?JZGSlN!k=kA
zGKKq`l`vT#e?hj5r^fTXDaybJJ<?)ar1mThD`clE$@=T%@dj~pw4LHn=#i*9h59X<
zZWDC{BZ-2VRcBX&=^ot_$>`CB4xH!M<>7zY@m^$hJ?imuHlIkA?j{nA&ZYr32K~b9
zq)sb==83}5bZgbYt>CdI0T>oRUUdo|SJ)3$`EnLqHN0<&X@jF$a0u0)>;`b?>01p#
z8ey~;vwq>D`Z8mP;HZW5DCu6+rMr}WaRIXA8*bTaayvYYy{pvMnZ9BO_@Bf2QhDql
zf@vGh9>`{Vg5if=Db&z}W_o@Zn0~j8Y{Wv!Q@RT5%P*!|S~dSnUo+JNV4;mKN%k!_
zM*9l_dEiod?~U3ePnB<HaOf$d<H#O=bI^idlrU?Cg8%@LL1<Et02=&-Z_`rF@krX_
z{s$|JMa~9WJ=0M!1)jKTSU;S?)@@0}R~m6Zk<xUjarRuv1#0^2xzJ1O-kH>yZMsuT
zBe|@TS{bKB)wPol@5hg8B_017m;<TDM&XLU`<Z_sQ-MMo)Kodsn>~5_o;B1;H=+4P
zbwk?YLZNM7#4jfty|#y)rY0aT9Jl|4Y-w<n>T1c&0-e#u{IGP~H(PsWW>22D@H7U~
zws8EJBK;X0D+nyIj1MMQJTuU=JSB6P7Om1`tn;OBqhw{zpsW~)W-UVpRN&M@_NHf0
z!hSqxGj^zbM11AOukVx8j|ukkHh1V@o7$8$PNP;Gy;EWI6(>JsLbEaX1g0;z{x6zs
zudx2o?p2N<l}WcsorZa_WZC*p?5TPs!KvRj8N<u8%MvF`EZ_8OU>xdpdBe_8hxqCw
z7-+tlNxJtLd1Z{M+1_ZV5Q`3H<g`_M=Z6BbmF4Jz(-CATS&&8E-+%B97UPKS=x}{R
zh2}L!@6S7<yY9PvlYBjWC4fiU0^@hsZrnTe=@OmF2j#)AD@O;zH2<P2_3H6cTE7lP
zLu$sUlN%+d;IE#1xKIlIs<K!#7?BCpoi=nLShaCcIn)yV+XJ1qw2{GRC^LJy0h&+}
z(A;z!<hQlhfQ5yP7$nUP?mGG}Py&6_MXIj{0&}ZWGprlTK9%P_d7+~BqQ^7#qI27V
zP^a41Ih;#y;3l6mayx)85ThX$xr7od*L}3tz*_6xBHpy~bnyMyZ;&eD51iA<$WZ<5
z*I(2MC79+6(lHIU>Z4T%Go$Z(cwX%*vGY|dAw`S?I?re!-s!AVkJ7d}|1g``w~i2U
zDr=ZDdYC{f?LN#jSIU8aWaA2HTqyR6B&J;J>SXj+8Em9-S~Jb2G2d!g7#tZtJ3%Qk
z6+DSQ!sRe4zx0_%MIZ^bkAIHKgI6AR4>I(-rg^-<(CfN&I!fdA2(g^0yXKbiiz9Se
z;Cx-N-S`K7pEnc5k^b*29MvwLVNDS-k-<&$j9q>c8gSaNOrKxp7$Lmzc)7k}Y!Ru~
zxJJTcJt_)0VdD=d3URf!WvX{I*8inWdZ(O@RNg<d8?UnDl+uI`tbv+3_tI)){``{(
zDPHx#6&V10|3(}mu_JZBzL>5IuSxRwX`>LoHxk7rH=5PfRU_M(vN1>G?KHVvI(Zx0
zsBFZ<2JB2fQ)^!3YWVqN%f0fK>s)XkVy3?4=irm+8ANt%q!T$?yiIK8h6-46!&KiF
zZFoP2v`=m5HDi|jGa~8L$-i*4e&-qMayJOwS3~a5#khq$Hd&GA`l&;M4<1;nk8+$n
z(hYagSTbP{goZLIM@U3r!pQ*$I_xsEPXqf0#PR6QgJ7M)_PLF7R`W=Dt^0)Ioc&Pt
zV!uxfVw2b<WOz>Bl4gHi;}YCr4~UB%;36i9qS&Rx<2bx<CGh(N^GyD2;pu)|nBkG0
z?B-A#nB`b-GcDTWA$6v9cG}4;$on*JE7-Xfqg^5sc6^=D9TuDCHurVt`z4963*|E;
zLhUJ1DMQ<<`Ie}4GzI3$Ov*OL2%xmVgr*preJd!}Nktmvg$I}2C}rEXt|~?y^}Gal
zBCo%V28-Kxe}S;Rn)ZoX+`$s!=RKU>qN;f9>G5|vXmOb0xSY2gHmg~jt|0ctG-?D=
z<oxp+*d2O&A7n(fUs7HN@#(n}n{-zaq^ONbYe_sf3x@?GFJ&o{FIWVaGUld_x04E<
zcDfgv`xm?V;NaG~3ONDxS6qhOo)v_cQ&*zJ29@6Q%(3^|na{R%f-$-IsrW*_y+9p{
z^M<%~cZLdA5%f|tc9%i@dfHoXi~a+IYRlQN-yUwS*9x`)q$>exiwBHyI~A6p_}L~S
zMk8WUy1{Vek=2)ha73-*{eK{n?2?G)4TdtXV7NSI@13J|pwiIT<Hu6kW4YL3TMS*R
zdeEGjbohj53p6hpIBnR$?nVX-0N8UC0*(?2XC&*O?ziktxAm+Oqj!29xT7hrswa7Q
zJ&8)+nj_|9&ns;`q|7I%0i|F)kUp>kh0CKgyCxxOx$6+GVhhb}ZIFH41aZV;12};K
zt6{GMVR-vA=)}bZ(D2F54VFwppK9t<vFwLq55L2KI3oGAhR?2?#KEN)8cd@|H5|-%
zKj*Yhfxy@^ki!b3b(p_`-c+wCiihE!m?gWvhh8!I3XQZ^&vApgTQ0X;N~5FxSMfdg
z_fa2%(y7kjnmRLgDVM5t-2(!KbmjGNKoT(S13J}_l*Dh#*vki}n{kAZ#F5CM@heyR
z%WvMEZc`l0kQnoknU;E<xNr?`Lf<ywE5=TTMsUbB^q^R#OV%xxA+4N{+nJszZO!7W
zchyRu^i#gpAtyyqz6z$_-3dOi9j1@_hkfcuI|_}MPv$N5vsk`G^bV@Sdt5mns)jN|
z*28rdm-W^BGNU3BBJU}ujMsJN(3}{`SMJO-PPRn@=Jga*mfwy^9y{|L9C{0yf_1eU
zq3v)ZG7kqs7vD2bh75~wTvcknRn`4=9-J}dVPB1k%zq}F>`MDhIC&kr_3?BLV%Rr3
zZ(FqIifsXf%<b(yQ`dBuzTIwJ_Eqh~QzUwIV#0-tTXQY6Y^&Obceocgt@sK)xAs2=
z2%Kt&NMqgU)KKuuUV<U;{ix4k|A%Yye>u_D9lOB?t*ljSd5J>%>3~GW;Jlx2-Y1Lx
z%b@dj$0DHjP4NwF1f(6UqN|#N)?Di`DnVhgqa3a;$5s1U$6m@aMe++4`&N6zO9br>
zX#sq`xuL>;=wq<P`sEEELLr>~T2L$}50+_2reD!n5&EE%e=v#c_@wg2-LQiD^yX)T
z8cZ@;BO{vLbX{&79K#r;r-(}?RRk5E%2$XA`^&;!vCxe|YhOS4f-3bdib~iJ0Nd>J
z2yi=5a66EIcH5tT?9yra{|QA!qu~EWQOQNwVb5)*A|sZP<;T-`SGHzBB_Y|OD;>j9
z5h7{H9z=JQ!Ca&p|2Ub`2%%ajjDDint#W;;oUF)^DEae-vDDNR7a9Q27`kN=M8hS|
zRnaYat&3s~mjV~V$MaEDEbz(Rn-Z$Nqxn!?Nx=8Q>MK)GtZtN<*Mh(9nR1rA*!X_$
zFDH4QbTUK1Tft-Wn<^|khFzpV*X7jmjSrfvRo>)Ia$cS`(8`_+$W_FUjTWoK1~$lJ
z?oj<BIT5ec;Bn4tUhiFONnJVjc`9z~qEX+)_V9}PZ)SfmSk_-ua^BqUdUNWE&1LCt
zV7WNF<1Z^-emgQbbpax{8_AKDKp<l}zWkCS+n_s>fpoUT-<@TD9V)W`?Oe};HfEp4
zz49)Rhwo$D-Op65idc5cQ>gZR^SDq=DsA~@zFujz)ODzV%wcN=Qx=b8Cma-T{(-+D
zh9q|nml0igw+2i@eauuG-UH(^ymmy^MBd@o&ae45>DmLUMapu2t1UH;dE$Gj(Ic;1
z_m$Z+dC<=6-F>jtTX5>;U7<NZzPLVI_UWCi;Ox8PxEbagFYc$T$;Uk7RtS0feU7tv
zjtQBb)tM3TlL)JNDWM&zcAr&+W}fPr!?O_{FVy+&Agw7b^7p2sibjOTXq?;DUzk)`
z@AM5ln3ZIECreCEYPg&<R&R<@4Ry3r<T$SO)>`JiCA&0v?BcPuV|QMjI`Tp2e@|zb
zEu4&DPq8$9vrxmJvtMz&$zjCaCvfu1v6>cF_w{n)s22&|0d!jUFjUU+eG5qyiy21E
z>Q?(VH$lsjt*q`-Zrnnr=M$eu#zO?@jr-sDER%@DsxL&SMH4MM@7r|zFHq8r)~y(&
z5ZiCpfft`G7HAR^Ze+4;AjVP>9CsLy>*uKyxwWWjZt~_O(2w`V@Vu=Y?>Xp7SO{=y
z+)DnPv$8S2QXjQco}aKa%6LP41y#0ZNSyK(WQTb^P2^hd$1|_`$!M9q?fQRbw8Vxc
zHBadX5iZb^zH)?#zZFNe=PeAms+cK!E~yg9*sS93%O6&<<u~whS86GDe_O?(+PY9T
z+v-}i<Vs{QwH3Tsr@z0|N4H~MDPVG?W!n9=JGsz4e76O#<`<fWM%ZaTaBSgsgPAk=
zi?qo59bLcl0{+SW6{SVX<LsJjT&>P??)&})q@*dlzB%fEve2$pj|m@ip6|c8br+vT
zV2cyqesjS==)WAqnek?Y^-ij+dv6jVz0)oI?%MMV7g|vJ?4iezam9-#j6cv%(fYwH
zRY}v6q@ml!i%^Zh=lIqh;$}NdYw>?!wp@~WHU4s|!hrIn1o3G0a>W%!@$<RzpEz&!
zM+}>iZk-)^;BI`ZN?(tEzo0``0;AXYCq0`7B;S&7S1fG~|JA%pq4<X53C#Mrl4D{0
z_Ki4N^t${*K0QAB?3?zQ`7txr>|r!-@(|Q@xSJr<?3JO_!`Y{-`0)9e8yX0lw_Kd3
zDw(ZN-$D~Tw^onPlsx^TrKvIZ2Nn;o1y`y3*2YH`zG{p09?vX`RLcUtW}CE*XEFSL
zvRU4ew(67RdBjuYwTe=O!=BRQ*oLYJ*l3gcWxOJ)OCs|~|7^eKl!Z*(>Gydznbh!f
zY`V^9qU_b>K{Z8+*+{Amb@9WD^HX1RnsGg@pZcDPt$mDZEYuzT151@%2tDl_>_Jzu
zcErETbYwS4u=;S!!K}x&mve?65nJwQ-56D!V%Ge6is16uxgN8cbblsDKkjUV_=HUM
zF}iAKpTX%QH$7svZgh$^zD9V&M(?cT=ZZ_#hI-fkvrUgZ=}hFbPG~TgWpOQuQ=|z;
zMS-XPmS0rD$@?UBj}7aq9;@2xu(h43d&`9&B4|z=ny}r&ALxyDT75*G#Za)ko7sNQ
zPxcWueH3bp{FgPpzJ#F+%<g0-iJ>}AIBgruTZWR8mxCv!JLTD*3r~%BNJJgs1W9I#
zt&5U4l@@!sX({`qUh16sr|KuFGO&<1w{6|>!!U2L1vr+y6$tLDj`Ci9;~S1g*CRi*
zahsKy&MvU(7NN*k=<ZJev@z9{?;~wUcN0d8z0>0Nb0Lcan*LG_Ftpc2$b<5Kzqf?{
zzrDBaQ7KOiGu?2BXurrLYI71hb5(JXHv6l-dj3b<0L?~N<dP))8+Tk4js-5s!K%Zx
z+(AdVZvK}`mbj6AI_6;6XhV_RjA|6q_@n17PsWtbJsvzEd($9_2p!-z#dotxR@wSF
z#95*$Y<o1lJ>Oknx{EC+X?e2X5&x*v{WN)c+YU8yBV=<-%Sw|r*-wR&g`@%u(yrMB
zUSrKL6WZw;Il`hC&24tP1Y*+(?t9ctub~ye>n#f<I~Iv-9S!~KUz|N46SnBF%`c#{
zXW`CS@2j3M)ZMZ{%d|mS%3~h40m4I2ag5FA1Cf{ar&`K=N=hBSMi@n%{gcq6{R?V~
zHgQN>hn$=ZzTPxj{&myH>!*G%{`RJ?<+%EB`XSR=5?Z;Xpmgf$rNWw<zd$GEZY_)%
z?Z16{;#hFkb<fy=7l)K|3z^1`r~Q3FsY|Tq26G^UZG-Or8&Jw8@TcZ^ytzCrj55-V
zO+@~ODuVaB)7@deZ>O>$iCqT1DPT2txAJ?&ZU9o0Mfp9cf>47iBmXgLcQ;Rmpn>*t
zi*LOiYXE*Y9CA3(Vqe9TFvG%t?C)SK7jT`S-HI|Jw@aCU%%=!~xYmYn_B0p-n*-rm
zm~+bgKVn>`pZ&F{Zjdx86(I<irj_i7Zl!`%f7qv47I7Y_bITtKLVOd~e2CjAPydCQ
zj$p!U5_B@QB8EQ5d|w>>@<^B<?)npkR>WL_VC!Oq2{7R47vFRIK0$?~#lDEW1)ZHg
z%^*U-vSN7C<}Gxyu36o0mNia1D8Q4MbbMOicy&(AfpX-HHJN&nm7Km!i3!Go7JMiH
z@6@q~3z~aYK6SJF`z}EVQpW{hF{wq>v>5a$mo_jXwYu5wtR{5N>Zbi|+jkwwx@Ch}
z4j^q#2D*Oq>Y%*|<%QcWJRalFuob`k?W^~@Q)_?hj{5xlJ=lT-cExPrC}@10O_rbJ
zpCszeKPbQ~SN*EpK9M_DHgOf7`+xv{>>5aXA61VDz?<u=q(2V?XHqC|wbF`Q5&hlJ
zt>5?eM?bcD&am~`UH#;O$HQRrXyN(iKPwydC$W_cDw8)?AeVCz>B!b?PKHst-i>E!
zr+yzP#hK@sKbtdA@l1B%bYraLn@3jqcSgFeS%rjY|7>tv^T9Sa0{g553K!zgb;11s
z`c5oiqCqR@zDoh;n?V3T+8mHqtiOAV9NS*TSKgL?;3qQ@YatTHs^wEek2v|OPV!Gg
z{Vb%-1z`(mJu$Y>0Mh=(cIlociNZ4#lak=lrRcd9QWe81pyCt{LwY9sxSy^4VJ$uX
zc7#|ac$1j6a+;iUfw5EOP%|ts7exO28TsN4-tYWv#j@hS=@ta0*g?}wBVK!c?_H`Q
z7*{dvNv57^b6i(_IO*H(nv>dhCiUN?O9+(_Muth`O*;9Xe!~$Sn*%AdEYvJ^5C;gm
zdT#gMc0bf$zie8W_)q=pf7~~bOt~P>*sk8W1}O4|Hj}@Z7C0hILM*I~JRkl$074A&
z^iV(0MW9n4^2WXQr$QU>bcuhXlXx6w|HY&4Y_R-{2fy!sc<Jj?j-cp1L1SkVN(+-;
z`;83<?p@#LJb30Z*5ccKAkN*Y3CJRK>W{Tp8t?0^F(I}`Wv3+7+At4|ot9~i+%`4!
z$&pI$_LrKKvdm(cg=sDI!Gp(|0L&ID#w9^JFrqUJ^l`<%1||7mMmhiDeygdLEBlKa
z!mykAQTJ_y&%ax2UiEWUqaSyVaE<s=bS!S-w|}c2{J>>+Ij}2>$4S-j*hk>!2q%aI
za=NjkvzHDH3>a>wwpeK9m97k}I9bq4#%PZD%Lh<pP53{31#E)OEGHcTt#VhUlqmCq
z2th$LI6J_drV)&_Mq_{W5w@@a(f!{Ka+2)nQ2s<uI(@%%`?W792VJs)g7W^kBDI&d
zUBwUbPB=qnI#=6R&TR)=RfEdFXCZZ$xl!Q}3N~VZg&aq^>=U^M3+5v$69RaBVf2K6
zGJtj!I!`P<V%Nf)*}C}4-!H5D%*PXiu@%khc8<7lDq(6$YnjyP_m^g}Vm>*Z5XjuV
zNmc7^U_|Ln-<b0b9UIWl-zle3f}ohK9t8enk}#3t?0INvwQS_*CTBjj3$z<cjxWg`
zw#V*x9K%mu(a#)lr<{8udhuO?`p8;_++4zhntje;dnoS_XZ@GoMy;;Uk08%63G+QZ
z_>^^IV!uwPG3)QwH<<VOM@`19Ukr_$X=~ng3teNAW6%Mc6FHe;p1J0~%q`f<=|$Gv
zcM+E_LZ=m#j-D_`#FuT2v)o!5)KAa2S4(5f#LMM3{JV(T@wdpLZ9z6o&WHcp0YU2d
zHs^1_4I|8zbm2D|wNohXeZWjzOCbDgP^!__*=`&YTUUrSbL&n&xw@)BJNfLr5D`?w
z);Tanf(PB+Y$<l&g0iOgU(RD8{n~TN1fp<`quIDLGJi!L=p6gf2i~Y4q$%muXfW{P
z+Wt7#?lGj1aoWg^ISg%IlSSY4Vv7ukw#0kp?=K89EhA0EKA2831x_Oc2qGtiujO9-
z17V#0r^`;PP21bmXl`g@oMoHuznmx$C}L4!l2~hdlgAd5nR`8kT;jq3C~_!0WyOYH
zer>iK{xq@Ocg_z|_1t^oG1`k!%?M>-sNAI3e)|D0->AvHcUO5=qaNL*5~7ZQ&{Vx7
z21-G52gOGRM6A)nPhGYBl2*{gV11kNGR6E`m+Y2Eep|Mc>2_~Kxkk9Nz~u)+zuSZ3
z?%w>HZ4JE<ow#@}yiH3;B8)AL<IZZytjUu5DK1WDqoUQk9P2rg$gHnxvnJcdGrcGG
z=4+1bTr<k#W3)%CGW@+;W`ro-MFUNV%Vdz>4n!98z6=x^<#`~Hf)3y=3|#R(h-G6%
zH{nq1RM_7?V^$|d){G?U_{On`g9SGegMD*lcZUk3bUT-L?t49Ts?r5*j-;3W#d!Ea
z|5*;d4s`B7{r%F2yu_OeC0h{!_MCvR^C&g_u{nS8RDQZz`I!!N+S0#NXZT431iQbA
z+NrkMhE&ZdQ(b>ZDGp><RF?+a1ywP^j3Pk|(&#AJT+gSTR|$+EQ?-9YYrn}5*w{lP
z<H^B-cm-y<0d!3Y99~PcryCfx-4V{d;g6C9fQES?_S~WF!oZ}C_0$NdKW@Cn-?oEH
zC0hP%wL%a~XGJ?q;@-$DUDU-uu<R>Dk=g__=SI)~Kq@B@yjIUae+@L%rrzQZCQ3&0
z=87unCFQZ)lkngAuUB5`x#YRw#4zIq?wxn8c@dz}m6>bimz?l)w-S`_=AcJ13CcGa
z=Xf1OrSfbtTZMKsNBFw8KGBfzmD(*a(l!4=vUc3F3A}S>{j-3z@|{g<63g@-t<2^0
zuLzt_GDJ^=2Iv$-=+e*oK^eukY!Lk{{Ktb#3K9pwCVAIu4YJ?`Wy8z;gS<bb(bskV
z;sPLB%ldrew0L*l`h!gMr>+i&xa^=wT=|C;y({r=Yg*42bFe`EZt{do-H#)cUZeXq
zmvd{sej2{VFFhPo(0Oru6m(Idpr|HDdGVff!9(+hQCP?+ASrX^-`}*bMs9a#-NSZ%
zRZyjY%_{uZm8uQqD%C-6uo^kv571TzQ0~5Prcf1Qo(lT&;~Ij?Ey6kAipcy9;Pzp+
ziTqT3HDdKVnfSd9!L{h=H{19Z@4Q{P6igd>dSBYc{R|0x{(G175c0@yGwia2gam?D
zi3sjN@9VZO&@0GLVS2(IMT)4>YYEjHhFZlx&fLFxnZ?m8f!*D0Z9*NNsa7NGIK!Rq
zIFEhW7Wm4tSR%jP#s73S8K@V@O`9<na?Fr}2RNq@Vf_k09fIFCny2IanB$>T?X95U
zX!YcCxNgjKR18BQ*)nRZ*+P@N{Hp)LF~YvU!^h)VM<AWMj-r}h=-ubHMrGetbB2fT
zWaFfkq;ap3zbuhrmu?%o`tI6E9|NN!*EQO&MWG7?EwsEdsR{Ss+u|T1j@^b<;C9%y
zn;(j-5)juIIM1Rlc}9IsJWgQ#Wobcz<|mQ*=P9FbUOC7;FVh!n5J;DSIma%x^avKY
zG>G=}`|GXRg<Z*0wv5{~DBVS3ACkP&CpS?aaa{{8mEmOoMM)f?&SnYRyTdVK?(^cG
z|3J^T{-6yq`U;-iT{|xPsaog8=cleFKaPoB<2rspmlxfY^TDpBJ5lBgA|RtK4pcMB
zfiykBMElbOFr~x`^km=sVclx~a6Lj_mrf0%>qk~3NvT0G|BrX?g~uS&1toyTf98IT
z)ibPn&J2+4;(#tyt5X=w3qSm&?FKxrU>!ZNcKiywZWxG&!Ktop&@}8(H8`q5>nlc)
zT7^0-X!t_V&^e@GM;Y=Sdy0i5s(!~8msFhF_5}Ft<g}`^9g;s3iNN?aP}g`h=5oFo
zkF$BYTQ_bE+T5ifl)DGB>nuU!hKuP5Hh1!j_%kpKFH_u0&830dhMBE2aMSO?$)uV#
zW3?cs;_U9L3h^G5!JRo`2huB+y*i<%zHZUz+F|p%+B79vP81%nqt88G8jr_qTxz?}
zt?n>w^WWYtrQ`gaW4{g(Uz+U$GI1`B^A6#bNwyap)=eon4a1137eG?R^z-Y#C`I0y
z;oYsL>&`k@Vi(@FfB>|D!4wEf@BSH<_B2m<x|2)&jyn_Y;(AaI9)7SUEHtmPKJRE*
zv>@g=$W^vqX7?l~`wr!TOTqFf8xa{OdV!xQQ1qknH!vD)y3u+T=evO<h`!u*eO#{n
z`$g3|w-k5(K}WGMwpyL-eY$!6X{YessMx}e7_w<w78(|f)sAAeWB=rAZ(A=T2GEkw
zvOZ?0)KL$VxWz-Vv73GJv@&$D1cnQ7HHW(Ry)u4mkvOP`xMu00bTnD`Rd08UEi-PW
zuUmO8r^tILGfqxKLxDz?HsB&E1)sO%;<f$~#gu^E?(0%HFVZoT`LbLl>mQ)2XnQ2K
z_X(-#t1bz<7!XYZZbu9w3oo3c2cT^QC+TKXbwD+oq{*c9r@JqJe4fpvX<&dSZY)hA
zdf_2^kbF2ja%u*Vw~U~TdKq-H+o9hwm?`_u--I4*TQ0&qSsP#O>d*9E9rF%oJ`}^U
zyLRupjD6h!RQav5=uULsTj_9U|6wIU8NP1Z8CQ;UXi3HByk$YUTArT6d|;OzPQl#B
z{Eby8cZk6Rz$B&YyE5IGYTu4Oe5Zmnf%M6udYG)7Nb8TeVr^juwDC{+@cRh#iz~l1
zTR=3Su^OX`eCU{SC<|~5UHowklioXBQY!3Xpu0G8i(($Bs#J=%i#;U20^$QM(^Dh7
z<4@(Lp!+x;0YQ+#kC16z9sF%NSUKvX`WlLCC_=t4TBkUxuQYSEXpxwzZX?2@*%)U;
zG$JKYX2e98MEuC4+CWt0g{r|5Lduor`0FT25&#wesxea#BWg1R``s3p_ooL7n?QJJ
z-6cfrzEau#6N^~IE49?Lpb=p*!sEt$Vt7&`4a}BHY-ZkbIv+~fm^FYF?q4WADaC7I
zEKqR2ZQbw4j-?Pub03w*eGYnPL)QY^&n;4zW*ic9Q$B|?vV*Q~0s*6Z3rYX_zvUZt
z!MTYsc_P7iAoRiI-*@S+8|ti854pZ12dbC(#ca<fa0<pQk613veaPcW^LP1FAk-`^
zT~aj;Je<kB@@|r7b3<>xznFykV{^M*lFTG~b2*!KTRmet_Ri%=OZ~hf;3O!TO(eX1
zHsg0Z?Y4HkS~|8lLW@8n{DO|##zsi`i<@d8pM^fL<e%jDmZj}ISIJy_LuBYRqtl69
ze3>oj@e)(ihhq^+hR;*&a|NMftmc_vPj{>Quw{9+9Is0tl?-QZEZGr&Y8Lz+^{an!
z>Vx%=(UWN;F9S3S2ea4tSFu@hw9bY(N3DW{;dqs2Mik!m%V%n4Vc(v~?{eZ?8dvzb
z>OqgsW~O)!f8iT{u@^E{=I5`vMkD%c*4reRsk+OIJC=p}JVos8?!NgGsYz@^0pM`g
zY6Z80P)Ou%0|X8ecL$hYc$ZQ4544-LiG6?RtbpC6m@*(<yyN<6opyogo71UQOcwV?
zSY$Ho4_a?eBFu}NTLHiBa><Y5HPe_KR8!oQ9K_wG>bG;84T$G?J=5e;+CWEKaiD?b
z5jM4(l&<h1m(Aj48j>x7w$JwUg)xKshjNWqBv{Zj>8uS1P{19%z2m{j_Ni1~9#M|e
zx|4E-DjL4PJ2ZanQ+G3U)obYS=OA{*UVV;^kM%sgvSx~<NjXV6dpI~&OxBcyFS~Oa
z8q-RWY1rygCE6OFZ45tRw$`=;5>4E3l+qOMTz}Xeg0$10+HyJHABlf(sv0h1F))ku
zK%ti7B$Bzw0V(kOBa6TxkpWcd@$uA);aJ1@IQm}DDTOrJ;36;NscPQu%eg|=zvLAp
z(~ldlL$+dH^Oc|&X4|;~V-pGYw{U8oGU`0@L9qg$jX?oC6JfrEJ5qIfGU>Qi?$!e3
zKb<TvV3PH1hS+(&A(b2K%W0N}3>IqBNr#}Jlr9`@(87-g`h}LSKLR^adXqSa?d2H&
zl(T}aW6}1^pvm|<U(oq5e2M9ojo7%JWDvH`xw9Z7Kv&K>_ZF^}&W}}QbY>kj&yaXn
zc!ojeSrp`d*1#!msd{i!4+KFnwviI_W;--0Wns>|rT(eWckr^+5u!q{H{;iDl&A^c
zPG5T}+r2}Ao2>H-ki*r|`tj_ey05g&G9+eg&tB5mg+3awQS(5I*>|=vMj&#>Yy7t0
zr}$cri$6qH>dtg7&mG(zLk-Q5Pt|M47x`s;fuO}ybLY8}k5v)^;JFElNwzy$XVwrU
zv;wtE(netpxHic!_aGdppH(c`j@9@xDy)Xw!&1(&nPMaO*xrIiXgVw^U%A*L>)Wl!
zzfw_Fy=a(d_aNxGE3oWQ1R3f;&(AQWOchAf5zO|83bj^1WOETpU7Nsqx%WA@I~is_
zcx<kI7B8`1OV(>oZUx3uFjY^>AMF+bbd;wqp>`h8k&KH{O(C*xYDSA46^v;VoZda0
zJD;SSB^vc0!s0(&rD8}hrd@CdE;z#!-UEoold9Vsb5W;`7-)t057+<T^fGtalB%eq
z4cDq?A>|+6GOMD0nQu)lk%4|i@mv<SZ`F<`&%74pRWqX;*;2q!%Jx<h+`)Opmo8p}
zbdnGSGQ$vDvz)O2zP2bHi-vB*eLsCy(+KN+7-z4ZBR55sey_L&ekS2Itlz;svbLU{
zimV*cuYbfykI!EwcmOAJ-<cU%iuoqERE%OSPq<)+uG~ytZo0MUD<14QWzO3OI!B8h
zn6@ZyqTaSeKd8&DVT{widW;f(wInG=ofec=ADsrHmbP5L&vUIY-@r(A?8?&hC$2@%
zmzN{obnaJBS1cM~Pj7+z0U29pn6~)RBqa;1F>Cj=S7(11#SG#<jUo_92e76Ih@>1D
z?z_>OSY5tumwM6p@q(qeUYlHg+~XYph(lgx=4Mwer<GUdNS(`mDBd#Nll)cOYKphi
zSKfz%mVd_O@v=0sX1&B&gPHVN(;>1{HJu^#JBuF>8Q6EYuuHU14%hcB5Id20ej3CV
zBJUW<9%2pJxa=LPqWwEhdpcT&e+`T~%Un@6BY{D*Yy_9niU$4<CsTc!o#1I^?gN~X
zcxl|{><~C1nW+^0(eWw&-)MPv>XP)od1uzHEBQ}r6oU&`ci_3vyR6KX@Ek@wkp%pl
zCGn4YZ8U`ZKS7&e9J5*xk$MP-luvfENv%#|U-8e&DuN@1{9h}P+P+72#a{a}RBn7a
zbJ->C{Q2`8@JCs=Ra*Wj8Jc1gj)o&$&`gG79QX2*Z}_u4I)d{efYw9Z!h&7xey`45
z7K;R^KNkGZO6Hj1f7%oY_8|J=c6`+iBUol;m`b-~R676ZW~NWH;C`OjJ4G-90eVuu
zP&v?jXQ`lr=EJC(yBP+WKO{|WA1GOLfpQLm;dm5>fkGr54G1(LJ;Kc@vf$s$g7^sP
z1MVY;(0k#QRT2a8aYgU+UX~XnUCeaTEgSywvxmf`lKJ$OhR>_Bbv?yMBzIKng7L*V
zvw;;E%N5kioP0A}2<EdsCnxb!he;ftgoziXu>RtB%(?4Vc38v2JhV@OP!ufoyyF%H
z&dU8mBa-<~^8_<mN)T@~{arm%A?l+v8+u(tTBAlMf}un8LeL09x?z!M_z99->$@rl
zierd!mr5v8m4G#Iem2if?)688RQ99IO;NNrv}v*!TJls3b@I!ki(}8m4hk5sMOdxe
zIJEOS9MgyNp`Ac_lf$M7%(Ot%8(UQCfuYV~AlItgG(Tz{iv>_rvrnj9L<hZ1=Xq%Z
z3c4_Ke7wB4xUvJXo2zn_hjJOSoOj(i>M*V*5DDGiCFFNazLHy>e^`9UH}eug^6^;S
zTt;GQpFxuHqUrEuWxMGlmBXNSMvKZ}-QH(LTe0U%g#XrKw;Hh4%xBH{8BV~?@CVAL
zrMq2_Ht8nPn<z=Ltf8`Q7t0!25qy;|n2|HM`}1p+zRv7v=#=-fub5FLw{|2}b41Pu
zN=pHf{0mjSGAk4%o4)iMygz#Eo{Xlqj-g7i0Z1d&YoO&)w$^c}yj(Kcq9Z=ds7+|-
znODWe*skv=`Ml>twgB{=Yas1eYHx#FrFSmoFWBjI(02j7_ZsS_7Li=;Xw<qH{8ONi
z+>ng!6!HP1?2n~zkvFUN=73O~sIxeUm^x(BrKd9XMn8`lN`ZM<{)7~ug#ZQS;D~eJ
zl(z%$rh0gR(%?nVvi&O7B;#54UsSk*?3RBut)L3BJPYB{^`ctO-ne7VuQltI7)mti
zvZpYy)i6xdeaipPq_n-qiuu^i7m$Va>4`~AUhey)fM9b8m7I4pbYDz$HFBR8-`FR&
zv2R~qf~oqtvdR4cLZ(c$5*yfs9aH%x)nE4%x-K>8sfIP2qt&6e^;v|en4*rdWOLVN
zDsFU2c7|n+(<$nf^$RVPuBUcNgmy;W6f;R$SzS}Ox})IBHGF9J8jrEdaV}F|$Sa{6
zxE18Ugn?U1=uaz9bX>=#`6lQAJW0w<^}BLknS7=Tj7kw*NzCLSRo{m3K!ZuQE44lB
zJ1(8}iuS`tsCPi-`Mnde@)vGp>Yq0wX;-yL&>{L}Jvh0%ven$6AQ3y7c~J`exav*n
z+5i!rfD$3!ELs3KvlJfvY;n8?X>z)ba!)LoE$goPNWIX+ahh?)lljHxY0b>N9~WzL
zEvn<jX32-aZ0M4en7v5aKnP{>rigUVUvh`%Iw(vAM3zd!MoR245Ab$=?C__<2eZwo
zeQo_2QBgjU&zkuVEq_>zKNS+aHmP0*5;{d|OQD7Cfq^Sp#I~&Oprx#;w-hgxb`%6A
zKF^fLYj5n38pgzond(>9>%}i{a1o|VOlZnaQzWm3<(F%nkX`I~jEQhR6jBpm6_G)V
zlldv(6L;DhS)T;z6lsyhI01B25qBIlLsn`0(G1C{l;>AUj+7?$<aRe!I!`%#pY#C?
zgt_+tsgf4D@<K_vCuAu##c7@1y9;uz75W>c@*1e>923P=?H21cV>KsYWEkh}syo9>
zhi)7Y?7OK4TnPpd+6JnJ7eADs+VoCSR7;#Yp{mU0nN2O}!OrxK#!3ZJRT|8c&I;XS
z$?^jDSZ>zNWGCFZPpvVx`#||j4<r+e_Her0t~-)<_)4%L!cyLB>c-ni<NAVcMQ)|w
z=KB+vfN`E~A9G~IsO#LGaDnon&Q5>#@LSg$$Qw{beFYQ;lYy_TNKj&$NKEPu{V29v
zbKl6a;-m&6Z^vL1v-A?J@1q5OgF}2jOxZi_XI4=eZ~T5t>Kwvb0-HS`6rcX7_Z?Wi
z#U>lDG^QZnjjCG$Fmq{#u>v#Jg`jA7$)9?||Jbh{Ne2ZU`fHl3sg`XFMK*LLPWhUL
zj+^9OI&C{QQO*@An5m{P(eamD(lnLq1q340Pp>k)*}2vvrI#aI*rfMCECXWjyw5lX
zq{j<JZVXBvP{9*;xzwW_*a}6%8xS+H&_MsdGL%MJ(^6t?c+=chZ2JiHk2|(c559R}
z8s3tA>ssh}Tf!lW&&O$EZ<w`EY#PS~8(g{ft*|kq@R8etXz4p%1Gde%eoQ6zhIhgb
z%6JkVHX;|unc&j65aUtF@-Q1t6LY&m#;~?fOBWfMGWJ(fo9^O#KpsFhQHS%w7{G|z
zgq-{2X4Gr1)A!mspR;1-iSz0UrDp+*tMQ$jS$bVHx7WToy?)288qB|INRDNzzo}4p
zvSyd{pv7l%9A(p5WGoqNY>7+Rq!C~SUtRQ;v*-4BLHWVK+tbRh#|3TKx;pfrseYzr
zwmjZTnElu)EsZ^yz``=I-DdSP?w0je%LIvT-UpmhIrB=4KGv#q{Mq-6=P>K)_M>zC
zkw-QA&k!t@dpcu^E~t}zD3~~mEOo(azkU7)M;X;r4myLg2yrcV`;Y8Q##hG+3UcK>
z=AshTdLXalAoYdYyNo~-$>{j-qYzNVFS_61rVL=^)5+cC-tLN~5)S$YOST4YT+~|>
zn;3$SC_{@dKFj(0cE<Ni`I;M}EJuBlgt8u+deC6_6^{4@m+JOgF->(ekZ|s-!d{iz
zlRK+msz+SJCe8J86?Sty!Wl1c_5I+Iri}G$SM5OAKo0<Qy)$*-9{TD}9CZMj>%&QD
zDrR6rziNuwefF2l4iPzpuU9r_f6=gi;#RLwsCH@rbN$Tb6mN)DR+p7w;)6Nme9_T&
zVwoVvTIEJKZBuHRPKVOgAA<qj$((7ZGdnZEk-5WS0zui7M$Z0+kj>o$m5mdqY>~m;
z%ri;-dFr}+MiY51Y3}SsiL!Up<$0Y^!bkd6-}S2-+eZ5e+oUr-DbBQ8cfU%l2tsk5
z!3SBo9nM9^r<9Geh!2UHM)Ww=@z2ycWOlr^K}N-!*6!UK!K^mm`jTkx`B<2G>(lm#
zZZBSLy4Cl^s!)t4w_2^8=ZTl0ej*P(KSx$;@%fe3Z#xXIsTG;6y2}DTK4hl6@1Az>
zm}t6<_PD|M<=48)^KVGDvjeD37DJ9o1(I^RmQGj2;|6)RUu1X1WPBytqhY9%p7QCP
zV^a_#wM;(dJ9{aEh;n`e@hy%Wr{g#~bx-G6&(C#g3}LbxSNtWNOvPm!)%$t_lnqhe
zjZQ0Wzz)6^xLEMn>bvv==p$Lo<7Fy0Z|{vE_1v!!XnHl8Q_*;2Iz0)qafRz8-}<u1
z=aWSNo@ay(J!)G^vV23VpU86tC-cXTshV+)a*r1rP9NmvQQ7GQc5zy-q@(l#o?N?E
z8i+q2R?TA_mY=!OOZS#~kJ}l#-ycVt2A%9u|4>(bg4a1;t?1sQ6yf_3lE?PW^KUxy
z9tU8kf|SqTOatVA<{E@v{~ms}cAMu`-~wVM0^g4@=~?qswOo(>wVm2x@T^1hmeRw6
z)t;|oihA$JN_8JLD*#ezGfzeAaym}|f4?c^81FD%8R&4MeDvFA-pp$Q9yQOYy)#{E
znx6p76M8zV#}S*Bd2eXhFY3-(Fo`;#tvqSL)JD&PF2s`;#i0M7rTrGsRLE4eS;u4o
zv@-*=(nEJM#v!$RId1}*8Gogo1#B#t%N3OKb#jdq#o&`<(J%7tiUM+Z1Cmspo+=9P
zmuBhhjca}Cx(YBYI(6rNpE`)cz+p~9u9gDEHOofHP6%62j5bor{i<8vBV><4Fyk|A
z)VI!U&p*^&-3(fsr2OQ_A(n(=MnJJ8@#dl0^ylY#3b(RlaY=RFS~*(Mq;L$gKcikM
zl&v3SeS5?XwFp{Gw|RQuQwTx#pwq(ZWe@IO$t@q9PUja5BT@vrbO!W<k(REH8DjQU
z=6^5J2|8+IU_~R&c%s$Hup#`JQp&rXm1PzoSgO0u)8wbLLWKj^wznJ+OY!V$&bdZE
z`rX&@vFkFfWdC{Fu@ZGx74v^mxHHtYWj5BCtwypk>?=kRAQDsJTSAI6@HJx~@Kb@Z
z&GO`GtXW++oAgy&MWHO82ji|h!F#!WjELaZS8dcC{7?p5rpQX2*Prd%Hgd@VQ7Xb@
zTkR!`V(TOai=u!PV~hxYfKA8e=dV5-&>J<|8FKSp>ypyh+Ku_=>SNF|A0tA8jd8Qj
zsAVQ!Dt3NHLsq5E#Ns=NQZ)nCgR`pWiMAohF_|aw$KH_yyp&rA)6Mmp?nkErb2Fsk
znL<G2e5Q;J==$lFTVRoU(xjtYR-d<lWqx-V*dbJJdYA<adoGyGj_*bbyjSXs>@IZ5
z{GP7*zMMH6VET?EFqq(d+OhzwM}$D|tD>D5Da~Q3xOK0nyD6{7Ab@gm*>rOPW&sMR
z807}@kGdSjret{BBvHcMGutDR;n%8mUxR2e1%%+6cwz!w(Xn>8eWTSI`5W06;S!Qj
zpP$cT^y<%HxV89oi_gu<^Y_VTIjQWp-fuoYQ8FLk&NZ&OnekhVfyS)r@I@F3=rzjp
z>%bJtGid0o5vskpfq9n^g?>dgEpm<@C2W(CS)yx`#h-d&=H*7Fbdw9w$80?_#%HNB
z)9xsg$<86QLsG~fsrqQ5AzT=hWTC|~H@NthAsJ`G{!9l0<zIAzNeXsx30#QI^@cXj
z%*)1jXVdkqmVyJ(cR4I1IxT9uv|GJcdlV(QwfXkrFD}4`%o$`_ETT_AgChAiP%=+}
zW~MgiJCTA6KuQFo%7-6w$+1X}U;v1#9j~;-F!u`mpG<J)U+s9sChZFAZVgx*Xc0uq
z2Q@%5k{l%7Pfqdv`F@Kvp64SALg&l($9XdkfdYhEQaws36^{q)3qje!$7RMh)a0ot
zpThd?-|GJA&u830dNq<Re?IUN2k0N|Xz07+9*Tzs-Uvt`uVz~qK$+WM?6JWbw8pk0
zA@ZfvW;Dn3Qn%KY;PFsxjJj168_{EUJF+8&Q$5(b<{3kHX)NK1H(@!bjz?~;%?%}6
zkVOz0J7h*n4azR=<Wf)dlL|dFpV5x&uTotI6YFkWaT*J-ze{|0n<<}C=DVhG^KDuf
z$B_f$Vp~&X5^lPJn6;$^cMs^O^btoHz&z}^b{MoP3e#v`9W1$!|4{T6?mM6=0!0_8
zT6>|!#OzxZ&{LcOa~)Ba=R)Gyapr<oPks*8ndSdl@$;ov)Mb}Y*8QeqCTSzFd>5QY
zwhY)q8Nx#*7QW`ESRZhYH{a+RNST@$aqCfeeYBM`rT;)F%ryOa_w;*EBh}tgg~or}
zrLyne<~XY-`gGhGq+)J@qHt?~I%WRDyD}FbAE7n28F<-ap=QTXF~Y=&XWX##bL31I
z&+3Eo7wHDpRrz8E5<iNg>wdQLhJ_4npZ2qo%&`OZxg>T2x-=S*?XnBKvp2jyZjE(c
zW!Et9!>@QXXU1Qi4`WtapoX}EqDs;_t!wr{t0bwdrHcW`-OU}<ImVBm6%YeRf+@F^
zIm?86vlozPz&B_LJw4m&1Y=0=LBWJD_Lk&+*^NM%AJesXf_ZrJ<2HtCCi_IhOi#L?
zTSa!D@t`op{tB?YUS@OOhT@y=h2n{96+eEbYR(g1XyLP3P@31H0;{1nKU_Z1%a0a@
zOwDG*bGd=NIcMY{yb;Sg`SxdZm#NU2knYM^LYS#CAY=a7L*Kqwi!OfymIPOp`n45v
zwN&k~6F-b@k4+<<)V)gu3x)S>7vwF=cH%`lN8&OzX+nq>sjR854hq+@__j>Agn$md
zD;f&{!{PiMCcyYG7f^U#5m8U7&XtS9G(T*8Rp&zY<JT?cK@yRl7o@x;#O6{2zopr}
zUqTWZNU!?;u=Uk(QEpw-GYpM1NDm+&B1oqUFd!)+f{K)MNp}n_pr{~-igXAnN(x9L
zrG#`yHwZ&_hu?YhUa#->egC}oy}#e(nJ3QKXYaMwTAS5^5;MhLMycSGy;`%A%l1yv
z^<ZZBYe$iQ-|x3_FwG?<2i=Hzu2DjiunA~PpER-%JbUG_Ek5|%rrc>Hwblo`*Ir<3
zt#R}1wRC8FuKm;(5sbIh8UVP`fZIwWAk<1v55Mm!if6aYJ~P_@YUYOai6U#wEo5~M
z2}wO@KgW}QQ>}8P8&#bwA^G=p`0R!W{9ZH0Rhe_Yu*vt|)wi_p?V*HHa;DHRMPo0I
zYS(9Lj={wXsN54-XO^G|rb%BOA#~RX45Z3E^&$Y#^ATomRRcPeA*sH2@uNXk$+Pg+
z@-Kp!p(bYSIxs-*=6YqQ0QO(8&-?&@<gCVXOWTB7XJJCfSAX{WR}qm-C8}SW{O)Ia
z+JQ<aB0e@?P|7>g*9pBB27>fE0s7W5;S+$&%CQQWw|sCc^V~6cM&CN6i}SD%cu|=I
z0g2)rUoZppEl_IoKm!RRMxC!9y<hLf|H0<^o`2;i>+*A+aa%!YKYzgsfk9li`81Rn
z3P4X39EsLM`RVO1XCCkeZnhMKAuBv3?JYskAkjIK?6=wSBsye%PkVLo4^{5f@z_BP
z?v<^&$j(o8FDi!Scpw1IK(^0_K^5xVgIe(F=#S(lu1OLNi*k_TpBI=H{cBVK?b7m4
z(R*O=#J<%c=K1H~Ek7%LZvLN*qv&w!#;=V-J4CF^Kw<Uk4!M(z(i?c1!uV6~=hp#_
zN*%e;duL#ElsLb2{(4eb_>xgIMhm2NF<gI)cq%Qp_4UktUsUYsnEloZ2wT0xYMXy1
z6Us5cB&wLosfLlyXN-hPqI8ue2USuQGlUols4!_*P`+@xuR6Cm{xzjf?AtL(JAs7k
zK%Um3RpLA7bJ-u<@U>*)0=PREG8Z#S3pW>&ef-q8u%9veS5-3o221Yp=P6GwGL^pj
z{T-&Qq?s>6-yzIghl3X}^*g&%vogeu0D1xI(8kA)fO*Q<?*IsieZ%-`uvxOw0<i<*
z@AZ=Y<Qa!I^yfcRlPh%aUxVHh_>A0Ys+592e3V4V$P4LJ#sSiz0+|(@OcKbY(dy{3
zzcqAi(%$}hEzD^3Cg&?y`aBDG9DceOD(8z(G{?P~$#VhG@w<3P3ch@X4@a36Ll*X(
zT@6a?e~q|s-Tu|11S~C1)yeZ((8Z9YJuX9GDPABRSC$P%{(ov@PLW?%iV;yT|N1{O
zzw)(e)zracUROI=;75=K8T`FHt}^2}G<&Pix#Ujab`~@40@m%9a9&+D=z(c-n2GN&
ztOKqe_<$X}`-~lrgS5g@W+S?Eg&?dw@AIK8MDP2`ye)$fdRgMnmwwg~8Ve^hn8#}Q
zI~?wa#JnYdF7`%Gto<s(<ZrlUCVkWVHuU<B`}C`6qQDuw2ReE^pc&0;MGP+kmMXMS
zc;}~I^IQGX!AP+5L29qnP65o%JT}+a>SG@-$5SY&ogzMms|%e;3Zl03mTXu5Sst7;
z@C;&^7KZeXpc4w%gMhjYh4?Nw0W%u(CVj4z&pv&V^@QPXk6fS0BWToACr|*qp32Wc
z9i0=5#k}v@x~-MM`U`Msy06cJxc9pddv5WOkp4DSt%ER<mKy5(x-ZRv$x>HTm|a3C
z{eey(oG0I~004-HU&!S<(436VuXJBf02ACz>h2rvU-bG0fKzUq%QvFw7vCsomhAuP
zjPoTjYA}R9`L(l?EOwP@vlKL4m2Gn3pm+xjIRpqoFf{4{FiT|=ovL?YTiyZNR`*et
zrfzux7DXWHHoGQ;Y0#ei%C|KB@;UqW_A7?`fripfVUb;0XLhvHxuu05-yoEpxLCq(
z7F6PrWXtlC|M|4S>i`aY_w%UcX9gG$@dEgfq=-vR9q~9WT{9KpP4&};nj^cV{=n#l
zg-1^S{C}}*>(K4Pb1eBtNB11z8}9#n2tV5Y`4H8hz2FXF36qNiu*rI^4q=~w79j-Y
zPPA4TK<!<KxYqRI9UY&Naoe{_#h70|bW_m1`WAL*ASZ>gXX%N16{ZZFlIZS#cJk)0
zrS#8E2IZ?vMk#QJh<8ZX@69)^>ED|_S+<tTfb6EASz}-Rxw!Dhm(SS8Sf;^}+S2Z8
zPJZFJleq*wgr}=&r|*Jyp}noBB^&=gk1<5|KaT+=0q+1z-2=gk;03w=T2I&~41_VV
z_lk-y04|VcIUVXgjQ!UYaa22xt{Q|`iuBujLz@dtf|=n99(8ZdL0`A?P2uJ9cu)iZ
zz8DLSfd3%p9vRE!F2LMS1qA9hfQ|g7w*8zGjlWRQNmS+9Ip~-_Xr#-o`5oQNen^S(
z{}6D;6a6eq!HQ7QrGqx9k)N9ZWeXHYt{UgxAUc;a(BS5mom2Su8vcE)ZHdX9=j{iP
zZ#NC)IzP+UjQNS^53xS9X5eI0Vz_~CW|BsD?gO;CzX~SOULl0;4LqYF)MIxj9gBtL
zG-9Bn4A_*;?GXQ88bB5Ei->PQ!f9tNK>vuwMJQ2dLC-1hXhi<GGsFW0R=xE}A0EAO
z%!h=1oQh*0gKjJG^>#TVlU_DC&3*OnAOF4v)4x~fbU0nenufgSI>1OJz!s#x3oKco
z_7%q}nba&rg6KUe$n&LS)K#71_yHM<zMrQk!V(Q0=>`1PKX8O@;8OltEI1k_q)ZSC
z_F;o=fkx5sVRux3B7`jXjMaw{QMd8ZZEOGgSHJ$)*_=(8@;e~+0-A6x(M$6$_quHe
zX?{F@HuKu~o#YIJIkUfk-0^-Hv;avGWES)esxa`+(3_B%9spO9EPy#~SmzPG{CzjS
zt{WZ~Os_=vcNn5K_hyM!=P{oh<RWLuICIOa_IKd`k(0YX^HKd>vM1wI&{_Kl;4_&~
znDhHZum4<5CMtV*^XMTf1JjF`^w*D+uW*p6`tvBo+<5)ECHf3)d=K|_y6R&^MK%8i
zg#L5d>2M9s_nA}*T522z#(S54dQ`3KR(6ihC;4~CzMF8ndv`Hu&woI_=F@J;>Yh*k
zmMWZw4KEWdej)k;#dMMRD*@y2A7EfKNY+QnTrz%qTCRKl!9|>pRYrkWw?1tTNM`gv
z)#|V^{OS5<0Q<Kmf1k-E3%q0NmwOSqP!LTtjy9Uu;%@M*Fp9P6C(KjO{Hu5M;tPQv
zY?F4rXK<^+)tR^bSY!&FPUq!*egqTCMnLbv5@=QmU-I734<n|{%>I3me{St8t*RyA
zqg^w(e4i~`jGkdyh0G6H)xnGb;Ped{(mRY*e0Ls-Ldp#9P6P(pegE+Cl3`hwZC}>2
z%@7@eH~-ubxLEWeai%a<3A3~LT0%4J)nY1aM<AP+^9+W$cBSXdljOkD1O8jje|DtE
zj69~{G2_+Axq-FPu~ytu|MiZ3U5Jf5lor1l<I|nU-PPN~SHl}Eh&=(NYJY`?9bFzn
z@kjF}eNZQFRT?p-{`C~Diov&bvFvE0_F{&ls#^n+DrXZITS}oHf1x>8X!!)p*SwS0
zRu6`8n0>PSUdR!J>Um5juv#x^3Et-K7Xkgg-c2?Ew5k!-JV&p2>7;X*xOeQ}Zg81A
z`Kx14l$t`VppJzTV9>EJTm{y>C*ZaZgQ;ESw7fcPYYF%K{<@fI1&$9~;T%a8_uUuv
zj%)%pN$pqqXLi}~rtz!asK3$&w_$b_LHHqdT(%e^dh5@}WxGdAs1S4B;V|Tl%chtP
zN%=eUXc{PaCx*lZ49zD3j&d*Q6@CGGc~k~7R%oeS2?*|PPMo%Se?7*5DqLQ5llvwk
zx3T%BXkX$lq?pf7+~(Ro-ZAp|3Vbt?e5-X@|GL-adE(jgp~s;9_Qa+?d~oqv2mYZK
zkPU<xUAg|SK8)m@yYlX6pJb|lF{uC^jVk>%b}Liu`7&?>E&=A`Z^%vS?&IywB|7PM
zzgD_wqPuwiuTQgCf>RD>2M#zzK+UON?)t+XoLalvy_yDKo%e=u9$^5i9O*w{9C%_0
z1S%!KT1qz<2d^jp0DSfpkmZ(^IE+;E7;rAD-)<$1ym^~shxaEBSQb;=c3o-mx46U|
zM{T}7rfm(pcu(=~XEMceMJOalI5~oeh0iyPjh5v=cT2fP#tA4(3qgk1EqgFay_a$E
z_J={>_`eKzrRp_}(zsBmeFQjJxEQG_$G#+*b!ZU*ri+K3gik{+(1>RQKxd9a?^_LV
z;G)jM`)5-^TY!{!79R_7HSpUujH^5^=@&Z}%sGG-ApeIY&~5UPv+aEw*;+LYSccWg
z*M8z*h6*UQ33;N`@Tl;sp;8W_f8DW7R|q49hE~m&$Sq_(xBvd(cE@*t=g`jocda%j
zfY*v)u1mk}`d<5u{f}=iJ?G-B8Ho<6fXck*yY_iQ>X|ozKqQv~s5Lm%IU1#_u{c9{
zXb@w77G?ybvCF5--jl)NruDelM%5LqUs~vJ*17*bzY)nOCak~@oTtoz8G8H}0JC->
zK$$$W!bj2TAoY{u*f0pz1x-@2fge#Ay~Mz=OL&DJzz?ZRZ3Bzf;o(nqE8lqYivcUK
zwYlxf#G{#5wf{E!uUIw;lX*J-f={pKaA#@0W096e`wPgOkQphPK<+wcw7I37s(7j9
z^e`K|h*qED62~#yL<uKP>s=79QhjCQi7g)D5QQK&h9~^CB7t4o&q6A$t7UD8nVpx6
zs=Ph7RXTq~&41sWpqnL;cU{W!Mr1yavFEAPIs#_8V-285OWXD5#P49c8yu^5bT~qv
z)15$5*RnI(YNRS53HKTtV=;*W+74G&LZVMEnHahI<nQv~6{dm5ZJHWMk@2mt;LDtN
z`M(cXgHw*j{^ABW-dGJ4&K^><_vah0*<yd}6zZ41aoNp3E2BlcoC{q7K8o2{EEgsY
zb;h6QDYhT#A(NbhE%5!%5>vv%W!Iw-d^+;Rh56h<3@RJ?rl5zamv2=4noQSYdvp2n
zjix_wIhf`qnj+?y=viaSfbON)6!4<Pj}Nw1fJixf*c`S#8A9Gs-JNCmCjg;|XQ{zY
zw4|!uOY)2SuCNMiHb_vj+sNcp=3Y5|A-mRe6lmis5tYJ!{grBP4i6h)OG3cL=%vUR
zEwzE!+fb|njqI<0LS^;j?4?2gr3ETaxjO;iE-XZ@X9?-nCgcM)w85Wc9gV}25yZxM
zaFadqdHzTJW*Kk^nZ<XvvUM&MzXMU$-IC7YuU!Bl_8sta9;70e`=TAH>?g7Uyc7~x
zhmn%@_0eizn<ozRZ@vI2>1}F%h)bB6_4XREYOucn+*TG0nAPNuNbDQ==NX!la9SQv
ze9mvF>;jq9cFqEmxP8IxY#qJi%N|sV+n}%E_`;Bo(f3Lc%);(n7v`dVq1g4WLfM)}
zPjOsAQeIhru(sNuU*Uc)gYf*M7vLccf+>iFYguofU4`=$yuzvUT7!byAOL?B9%Icw
zK9T^<3GoC%o~Bz7?aCnN<pi7@=1Dr~L}=ixB)c>+h=Z7&gSyDGhXgaN$%2SHUj15F
zW<1gMgy}{|-wF^kzeDF(#U@}#kAS?%j@5r#t1l0l@gQ#7cVW+;wfG5tMYFdN*u_18
zqa_XozTnInbxFPDfzN4Rp6kpLod_KdiQ*20yDK9jfWTsIkKLaH)*9^9Ykt`Lip3A3
z%uj}6akSa!XuW}b-<Ve|@UyT5wORqdyN3a{XZf@mjE0L-@^}u%psfa#x#%o~(c}$F
zJimeoND2JGpRFDpgYfnV(8foh2s^*f;0qyGBcSULGwzRuIAWvbPR#;P{}nP+J(3c@
z0j)=SL&%mxdT-Rt%^yy<?dnh57tDDPd}5i?{h5A%s7V8u4`e7FI-hKB8<g0`9}NM}
zbOlWH^?alct(0Y7;`OtyZfKx<YVS5YAWbF&EsRoVs4+wkh9s6i&e-Hwv2fl?1H{mk
zilw|FFe9h`F4IEyjBNdvSA2TY=kSr<lW@D9%twf30AURS<ZN1@c>@Qs$Xs~s8)Za~
z-H`DBXjJ9r0#i`(`7VQ{<+WF{`Hfc`q}h9(iG20jNB2qiomaxfN=@o;mU`bsLDD#7
z9W#Z|p)b+#ajqi9{yQ(noEu12YwX><d2|X)<b%gQ?+JB>zd_d%b22GZspMO>#xA7q
z${nwV97zj&+jpF;OkCRrJjX$h&6tgpI+a4BHKD<%ytlHtkZF71ed~cmIo1hfn|mkU
zT64cXp{rC30Let^(dXGCe=yEvVd^yz$@54FPJ<cy<qt?MJSrVF$1c0^s`8Pnf=BH5
zmD+EvuI8TkI0nRFw+@+7H-EHpj}nbRDebsU&=xc8#aqrHgP-i~9R94@=%a+gzD#}R
zH7Loc#3w}T7FehFG*<JF-5&?p0yCeIQEMyLI3GAgh8FI_tpJ)5PO=S7Z|or~THLO`
z4N}B=O@LoWZtC_O8O(yk(F+s-B{>a-bp{756r-)>h@S|C7Wx`!&{I3r_^2tDNjFaX
z=x!acGpc@tBbAOWWd9NZbv%2o@Xog<S_4DF0>A_w`(eC3aohXHzLEVvUh)_i#tRPa
zJ{itQX{PlV6jG<m*|ZW&@$Qk&w`hrhPSIgtdx14dnqpJMQ!i<JFQ~j@I&mAk7Qhmi
zITJn;(*BU;)loG2mC+HO@rtd+M1dgPc&WX+@nWt#(KWP_?R@KJc?~y#JTVH=Uv~5=
z?USWQRk?UC?fX(}18)|P185X2^uDW%tOHRPTjlJ%8gvm&o>f0HSN+gvN*7rTqRn`9
za^v&nqJ91hfhx<nBho0QbTx@_?+g-kGZ6%~TY1nwB3Ksw^hJF7MCe5b2uN0+LW$JO
zIEW)v1Gu|dCsGL_uM=Cm0#Pkm*Lpi#cCwkwdQ;G7am(v7cLQ2LANzI>3$@?+Un`M#
z;f7yZz5U@<3x9m!c9Ml%(wmM2E1qa2DEbDig8lBw#0!g(==<X6R#pN`$xA$zbhzl6
zr!BCaJkfV(bw8SgZEd<CqY9c3WRkU{VKvl?q=PV9PAhieARAas-Q?x9ovjw#LHfy)
zbBf{XD)oF!qBfHqfrg+ICEJ!{!iiAQ=j+-kVDRY#J}eH$ohcL^!_$$)PSjnzH{V8t
z^x5ovq{P{Vw3e05=M|)YkKf8`W|)q`wG+MAWNEL84Z`is#jAH}-k>`!g5dZF592)!
zS)bDR%ST$EeEfcHo+#~G&N5&NL@>y0XBvucEneq;vQECCpJ{afAGusc_EU`$baos_
z>>BZl3n!`E8>{%_doxlcs&o}PB6el)VD$B_gpa=1;Z0JM5XC{ZMvfUlr6iLKz!_e;
zQibrmkyOXxhNlF!TY9JO=GY#|)N~R7QZAqhEVmY)7N{#hfC;@hEu@aS?N?8qf~cjm
zs<3Q5%X|C7i&oL5&SM{ij_5AU0N}^_$m;c&%6T(%r|-p(G?hUrqw8p@@MAFeX7s#T
zTIrg<vM4wN81Q09*}KtEMP7cXa95xha1$use>#7Z;JgQh@0Q*0{~Q=Hp8=Qe5GA1A
z5wb!@S-YH1_({I55LKX2b>B~Au7t~AW)zt^JW)y;&a@p(G>BMKt*A{mJZ)ui9lrq%
zmmMAh4$FxYvq&T2*$5m?^^KpsH9%S7FjXJMpOjdjBu;i}Ng3S>IEFy@JCHOG(T?-J
zDkN>b;XKh2?pf$8@@kBVX5~Y6HB_oPWTj2H%*1a8pI!%i9tT57YF%)wmp+@4)xPg$
zg@@SAE1zSO2Knym@uoc!dMw;4laC;116?=-$KYY4iq3z3Ow+tXoQV?(^GWJ$$ex#R
zhMjvxe~_+Yd(kFoVBq~>Y6USTF6O=TnH}huAJu`a(VI#gZ!{W=`~>~k1#7PpJ?Wpm
z<EK;|M22|sQ8%0wSm8oWvJ1prgxHOkM-uhV=B`L&EXc>xk6$21qJUAhx%UE;yd167
z)Er55sp(u>T!#lG%`?gRmAQNt81}DaO3#W&yq3(#kfm4jmc#`EjKW8mTw>Zy6cu1O
zaWNlfcOTzA(q`MCr3mE=e46=BNf(3`*ekx%s?BD65v?25Y1YDI0^_$CDRFQ!O$^;)
z4%nX(5@Wk9@%}RrHSybx4zj7{r)o!_$Z?B89Is!-x#xYND*Qd)SdPFBomkp@G`&DF
zl^*I4v(81^kqI1X?{a|nyvoZ)sCLS%Ix}mRbJkT89&EIFFFzLKg{tg$>jlqlJP=ej
zCWdRyK*=D`C2FRpeBgx+OkSw|l<V!0JYdWY8@-86d*wTv4W)<L*WgtieNpG6&WuYe
zP96*g^7P;KP=WF(^sjPL@85D0oYR`VpZ>~PgKt0yr7`pWd(D3V4e%!}q~L$F{KS&o
z@o+I}uXIWOP1iy0&gKFx@W?I}%hDsM_0`?qNE_VND=T&Xmw#%aU4~yttL?u@D_d8q
z%*yw|zba7$+8a`_NqWp+ESpz{Xr@jknv56xSEhB}lm7aze%}$>5HaC)Om0Dnz~8y|
zF94?56x^Q_-x4Q^@?S1MS;GI+O}~l_P6P193u*he{$%2RiXN#P@ckd+-EsS$Ocwf=
zU<+_Z>LvA<&;RcoJ*1_;{wSEVz5Z9S{QCmY_TY|MbaXpk{dpVzzSr3T9Gq(AvnZ8>
zBe#b``K@h_UkLNw5>`oQ%To?G*|`H%y33$=_;gO`ai*LnD1khIKGy1v$ibWxNLa;B
znVoClQkTy^ZaoFmB$v`7uoDbGwLkM&RwQHy0#-ma0c?Gnh5(HIB3{K}F=f<N;%4%9
zjX%#;E1LlxS59N+X}gt^;l16Z$AQY9e#%>EtcquQ>s*a;Z;9dRe}9uZQ7$k5BbN_k
z-M*mVPuk3DSXPj0Sl)B-R#x;6mr-zRlW9ZP#SiP1!H*3ofu}x|Ko5~~BV9o+!00vk
zK4{(BLDd>y7^plNPk6I50i1!C0Puv!j#vh|)IuQQ>iN7sO(G3&0Feq*Z_Px7M>fdD
zefkSbuT+A(P52~fGBRQd$ll!qSnK&1R;<+LcPRdpI3}q&VAVOj{pnQX(%$a5CTu4@
znA65%H4-3_DAZ-&-eh&@LHtV@87`H|fD=r%?#I`N>Ytz+Pqqjl4R+nH!=Ulro<IO)
z#f#mjlKXkwD{rAgN<ItfLPv13)i3$)Ue1nE-#@)YAj8J8_A9rB@eSd-%YY=e9|T$H
z+2|{Uqocrd+6n~cPf!GyD=MrU<MT2k|F6Q`^#RM_z><j1x554pUDU4`&vI8p@WW4n
z+WTMI`IBsR4MmD<=@R@8?hlnmC9Vuwh##>RwcE85vs!xE3KY#GB<7~v+il6P`Whu-
zAU3uf6w=N}F3KDDc4)PxO}0#AB|$+Yjzw?GzUHJC^$<0mENhjhlSqpiU2cP0HDx-)
zK+f2_dWD%g%R_GD-#0!_Zq%96o$2%gN5mP;2~vsCN%UG?<!T|Fv0rzI(}W}V1n;1+
z(5q7DDGiCSS@BuxRR0p0<Mjrz&q3ut%`t!sJa!pag#a+1QgNNc%C7-nNCI^oxX%@X
zk!!<X6<TYeHbPfM%X@uXLC!d<Kz1)1Gy?hoLN;Ip5W_Ln06E~FB@G7QlCE`v879wU
z#ZwS4K+rDT1(=IIsPgOqGQ7%|B4<(ygWA<#-U3+>=z0zL;EfdDn?YHEr0lasl4LiK
zoH>G#$H5_I4~dSAfN{%$0}O+0D&p2mSw0j3RoA?fFUTSdN4A5zt{*n+H%76pHA3d}
z!ysq02SraQ@VYk0)&H~%&U4R%QoDf;aK_99G<Aafk_>`{dtsUvkc!(2{ke$%=X3J}
zv(qZ(ffKw}R5>VZbD_*br_$5mS1C7oD_8&f&JF-|O8avSm{JT*Bl+7j09-qoB<vNj
z1bEbiH?K>5mH)X?I^o#*O2BKc>s>^I%LbJx82VS@xuV~YSc%!O-D`9G@vZ!Tt<Mcq
zNvlKK86fd@{9L{VpmVSpAm+Qo=YoT_EY`#7ze1C%J_vHxd66o<Bxm`Y?|j^NIucan
zG%mCxZntLec1JU$u=QQM%<T#L8XPOygoI?zqM<MSRuAupXMb<E2Xv%VS&1d#2K%8G
zqRxCe{W&^xMN$pzV619RZ>7}}W7Uv`n|Wd*>z{@s))HPyjxWD{WM!V1z~US}#4`|=
zn`Bio*HG+B99sa&W+^t<xBK`gie17uMUg75AR|!Cv1GwyLwRxhYMZ)MSRKIliR8QP
z-AZH%;!flCBGw)5Ol~k@lX{VmCW^S(`5-bh9PLaxDG3ZdmPShR?Ph?{uq#``gNYCt
zqu0Q8zJecz4XyUk>?^Y&4o=X`b^Ad;4RRtVMMIVU3Q$0J1j10Oc$-kMXzqt5pTSA+
z#&^DYM1B66^SIzJV)tAFE4&&ssRjYtI)Tg-P&1xDb^7Yi$<dzIN#&1N1LoxvP!^JX
zctR)O2sX#Z5QW+esFqyml11t?UJWcGxCFZnBg886iaG(HsuC=nJhDki-ewv3L@~SA
zUsFruh_Yup!7R~bfVsIZ!Mq9H!aC$m_ZuQ-K&bnOgGXF8Zw#nAj)t&9AnjhBq(&SP
zGRe%vnVSVD9+$x?!${~VJlq-?tjkJdR9}ltst&FLn-iyOom^KtyetI9A8VC!5OL)8
zf#k1)E&2*LE?rfz-ibZ{C}N>EvFF=}`(o*I*J*caS~TuS@xo7WgN;1B0rFmSzRsPZ
zo2L`mB_<JiVkkwto+`hs6wxK&-sO?^_tKiS$oOqbwr>}auZb*eJQ}jQ+y3~Ds9m32
zE|<wht%B7~o<s&K%=pn&t6eXBUvDDKRhr8YbM1)+08ck;zRL%RzxJ53?1zh6eCj?Q
zF7o<<9lio8m_jkT{z0(a=c_Q@5dp^=D)X0YK`#TrdnOBBHtx5jQ5u{o?Uffo$c7JP
z?<_P2TX$>WZtxp0{cbe5fQc^l{1(AJESVn3QKeQ(lOlY&R7bhSW`3^f*%5sc7`pHS
zjlU0%UEj<#DD8;sO(c*J<<T$Bno7^n%6M?;ZbhHZG(D3(>^c^29ayn<`jo<CCSUBr
z&dt@?g`KS(1YLv~SXUH0pG*JMC4>H8`bVlk>%gn1^&XK0L8M3o>|$qK(F3DVl0LUf
zX=etz#qn=F3w`)`!*4R`70i#U3s>_T`cVK>@q*cPUyr>7`TNhHiDqZ28!Gqm15aAz
zIgHHb2=_CMIpJmwlfko>hl%eS6(7t-K#16%%;f!Ba8!p`;c6lieNrdyYj87lm!W)F
z$DB%LEsHwV;#su)I<+(;2kiG!tzMl9kXGr-Ie5B97Ta0L*p$q^DR#a_ReJnsi?u7!
zCtq)`{N8}Sbo+93fYqG<tKC~NMGqw6Z`Vk!c=fId9_=s{U7e3>*9dtlvz)2k&bUo<
zJ0bciN)F(J!!wNHqoGREw-M(Fhok|}(_17noepnY?@?q-5lAC)#%H|$K!VhX?!m(a
zkd=4^61)f!n1h*TkaI?x3R7)gmz=^SAZG|h-k6nnSxjWuGa+pGZTY)(Jy-A;2y5kC
zN^G>`)OIiv_&B{&7ffa~UdFfNNGRoMz43v>iOLo7b2+^AEDSSX)hy;Ug)D$dL5Y=2
zJ^aEj%-h=(SYCWoseGn(6()$Xw4p7wNmB{GIDV_@X=vQEJZ`MeVf{Re+(3|s7->+i
zxxsu`ey)wm<cTGAu4xCb7A42ja_ZyOXVXdjt&^v6abE=6p(PoyN{O0P<$t58nF%0q
zqe*zi7d-xLuYJ7c`*LxB6?gHG^{vX11ex9oE2AvdSXlK|Qyhy&;n3k5t9*CS?6I*N
zW$Pm2&!UO08nEqC^L`mpwq02DJEnx&c8U1D^zpJS`#xp_Me%!a9^NwTB;mOR7CNuZ
z^xr?E04<9qLmTAy#VXx#$!ukMj>IFAevQ<A)~*J-FqQDg%gUQk5PTGUjV-cEPJEr7
z$+b#+6d^iQK68yJji3*V+x!w1NM-a0j)OjHbOlX52n!8jKv^WwwGnO;{@ik&lPB-0
zw^OPdje?tczlZ6eT)nyAOeQfU@U!*O8wq%%U5N4ZI8)FSbY_qBuJ5`;i1Fr}Z;PL)
zzaW*0uZxp|gqSmn?&KK+G97u8J%qPR0kPwK2pd``&O?N<i=&Tbf0Ml&Cc72X&E43V
zI=R)241&f7SCU<bqT4<$Lt!a#zWJcZG2Zy#7+mX6p|X8qO{>Y#8MO_){$L}lib2hP
zS(K|5INJChv*s>bd+4}XFrSdPvOkuyz*c0=^p;Dxj-)A2AbGl@Wd)8&8sTucdUU6a
znDw6ckHzBkPTsePxrep(R)pB<VX2k)T;+HN5D0f8@1+B7N>bOioU3+4y^ca0@@G;S
zLFnVXJ;L<^Mgc2GgL4Iu28GNMI*|zCoM}sx=se*+v%TIy;n-ruQZ|!AH`)9k$@-bM
zMNg(0ncq6{l0iwE&w-zCESM5dR^%Fr=c-IjPVO-CJw26^dJ07ktCulvjBx49a0)_B
zg(Z0*_=Df3!EczFfW8@mAUTN+7fp|_o*;b1`Q^FW{UE|<oMRmBXKdFDWZkJ9f|aXY
zddsSvD!h(k!%nehqVOtUPGH2fr#ZqA)&drN9Ji5(f=E1p0$(uycFRR<ci`k>x1i7o
zZM&#0{dx`}p?03G2I-ar^SkS2CZlC8c@7F;A5E}t(E?vT3w~$$lUB3c0xz1F|LHX@
zb5myYz>DlQ@w`*(TLiR1b~~YZEf?=iC3<fUqs%>L)$Uni&!;%;9+BT0cqRMQe$20^
z;bL5}pPnSv;k08pB=8-VBTqriki1g+V`hi`U8$n5&N%<gLAe#`jz`?xZDHqdBsf%_
zj;ec5xfZ13f2o2S$#+KOXUxlB#;Fze)AzOuOt}w;opG3-aZzW%1vi$bz9Js1_eGcC
zrPWsAt-~+F=%#$>CnbT80RcRSx~4((lcpYCj1R@xMd|>>Slw`ZjQ5xI3qAPrGwV-H
zImOs{xr}&Og%_Ke4rJ<?gU403kTM<Lgp3-AUbwuCvVWG;+7J>hgpZ1)N9MY9NHv8$
zn`Zd>gn@LMF#Ct!C`i4QRvWg6Ca3G35NtQ|V?bH-ZUBv|EaisnOmRJplET>(3?Mtk
z@dcr7T&JqwBOhVGc!o+L<0MtIRW3yeu`Xf|tI{lhG-wPj<v)u(IJj1qPwAodC*Th@
zK{aI)UV;Dfp~L*1Dtqrm;lc@>1X|hp<+Lm9ggeJ>z6pB*ZG_Z6_Ec_ZwiX<Gvjo|j
z8t<E+mE$q{hRx!L<glw&eVD^FqDQ!~piw)A(hTKqw6h=ISfxCq*OMcS!|A`zAk>gT
zqNp7cWGBVJaLupYN2JgXzd`-P4W^9peMFB`P`E@i({{nvLb(&qa6y8Ng-?spht(YB
zO?cbF9;@?Ok%&&5v6XOYma(3(XrwviDwZc6b)r|j?8uQa4_^yC6|Tuqs+AfxY}(?3
zppSnk2><~C1>1;7G~EdI&H1WstCyWZBcHqNcOKp|O?qQH|Ft`-^G})jn|?6C0}uhP
zn+XWSp|6+z1I><o7VWkiTZ5t=57#tPG4}s1{_D&{qd?v>4SHSw9ijhTa5EYNaFnRt
z;)lQT<$u5hBq-1}vNG)oGhsVDI{8K`!ZI-{H_qc#;aH47PFf0&ypF3mJL-h5ay}ok
zo!6-xk|C4P{PWqGC%~_6wj9SOr!rc|&rD<vf?9Ix?gww%&}Z?&TA*5a-ddunQ?Dqj
z9`h*X#YyJOp7J9c+is}7>~^#`#2CjV9=d`kqB9P98D@YIGCUJ+QO9Y{^|dei*87-+
z-E&T7d>spnElAq4@xK7dEq7j@;yKUnx9<!=Bb=f3UA9YHmeyhLwd5Bco7JB1B|dxZ
zkbUXTo<<XY$p)E((HrgK%f#k43z*{S>>j+c0JDnoP8q(|zpqmsD``)Z;6_oAV=@Q1
zX#-Kpm_w0HRPXof444N1y6$SZE@n<qf`i!;71a`Jhef0rlsew!cqzwo%wad)9Zevd
z7C${XWNF$-y30#-xhQ)j$-4t|^{0sQZ=Pc}%7}n-@nvPGj8(M7p#?-fEFk~fn~AX&
zSQVO9!y(8|HH6Q;T-c4EBkyE1dd`N`V#9z|J(=VF0jSgr37H2z2Jhlk^9Xiqtz+Ss
z<2^ue0LXX0RJg_SpP*Y&KHV#yC}jRX%yHCPV2wVkh9_L(sIPLS<~Xr_nC2}~)FwK6
ztv^ePW6!B7kme)4ekvFN1UhXAybn4$XR4o0540zU6%kRN*996kd!Tsp1aEo-AS|hQ
zw?%=wmIoNMC58S<eE<k2m5hO)^z-nC=LkK{o#9yqCSSdwOBYPWfv}`<t3!HB%$t}4
z9+Tkt*|@L77qB=+MR;g5$7-68zHPMD)=w{VJZ(gywtB%7paBBgd3bIgvtpCYid!HG
zL#5DCrLBvM1e6|A$jj?jlYRO1PSj;LU{oH<8{VOxK@Xh9q`d)0dIWGElKW}0*Sa$v
z_O1i4{uAi$S1N2gL$(*}F!+gIE;zp+qBOxXcOC9s)j<<P(0>mi9C+C!-Nzn7-6YSi
zw0Cs(R>!V1(W-l)FjbN~0O#p_4+wjC7yKRjVQql3!ua6No{5eGYrRmbZ5cyT@ZjT6
z)Bp+#XMm8<u!5m|pxfySYl5t-7t#pYK1$8c+dn2MXA-l0@d@<KzrEzO2358zlj&rX
zY(X8tI@ESYFN5l<5V)dAmBmZCydFUn>5(&bnqOh&y+xC@0P4Pw>gU%lw*<4Sj042U
zky-=002o%5;Mj0yvV{ec`hxGb3<|&ekwI=(z`to_riVMA1v`n)YLR2cyTS@;fn7rf
zWSGT-@-EnV00xfr*3na_$Zf=GuOEYUk28fg@Od3vpK1X2X50Tpoo>Jy#=(d^=+Zb;
z+UMx<s>7qx1yk(C%HX$#&5^-&#rVU)w`+-=S0-v|m^wkfbh_$g_b`FZO!s?0z5&rg
zMq=RPaHj}RN`^tDwl;hWNWrgn*Fe2rqJs4K0^!#X;}ubwCiHH!RbL?+&=UKg+2!ws
zfZ8TjHcCFqYVc4oQMJoF8KQUSq$}W+#==yC;ygOlg8}uqr|uBAyxN0N$Brnd4rIh>
z_H(5A&Jy=lV~&;(f1T)xCI8=Dc~x2v-`)#TTPcTgnm!%p#W8VT9UTfbPzE`m(?A^o
z>oV%9x72m1A2d)qZ^Yg=3Yo$szGlA&;KwC&)I>67@jV&MV06(2{^KC|Dna{GDW|4`
z5<HT#gP@;ASEOFc#AH@wYO3suCN{dV3_%=#Xj0(|qeeN}4{pS!A=1LU^1(*U%lGb~
zDkn>;Uz)xmv0;+V^q|o@2o((%gsmos*(J?K%WfP2URQS{$>7&)#B5<p69+*!tT6)7
zuoSLxM!>2nO{Mt~h2l{Vow-#`t%Q-rnKJnOV6U_oS$G(hD%XFG7nuz6uQ!O_16@m|
zsnS~hv`AT)R`F?Am}8IEDq<PXk5&)K_Jw2*BUN5GYt~~z&X&k>bWTron@1iAnjE(1
zzq#A50dUmh0Z@nUO9*hsxq*X-%TL_i(6qvhHIR^?(Ppc1?Xz1dY5bo(0ibv#kTZQ~
z3ymj{2hF2Cq>LGLr<F9vld~0%2*}o`k?fO=A;`oY(6DTP(@cg=k)|gD^SD(!>(hvo
zwFc1sUJPQ3opM<MW(Fj=Bq>Yg)MO~o!~b4~>(8clrg4rzlOv5N&UrjKS~iWCoUS$$
zj*cJ^xN~km={^#Mi#E021x%ZEcQy|D7{OZAh7sH}iqnTry**U<Lf(br@)uKzZgV}-
zK&27j`jB5h-b5MI>Huok3ILnOd54I`Z_kY(ly#4Cvc27Lklo@v>(N5wrY9r_nYkyN
zyg64``w4T>rQI0uF{Vo*j9AKVi^eq0<7*HSlAagDMdY=fW#%19q{hX05NH0>ML-gT
z<@z9fQi~v2H|Io6D-j!+{eNDTA{9C+-6bI0S-iu>2b2r;U~BT*KfR$re%&xcC0dao
z>7ZU6Qq9e4G-Nbcou%O9<+3g@d-KV-*yh>y9KBwLfDm>sZ@!ITxQqAQb$!<qV#Eb#
z^0ybciGuezb{~ddqbleH&9_Q&KNLE9>dl5oSyzM;(kJj4RSo*66778%xw6kX-$_Ws
z8JaI2g3k|++^d=r!z+|rI!lhFTqK$`k?%4$lKhFEWr7XydVGo}FOcJ3uR7EH{Ai<~
z$NDEu(0q|{TxY>)Sa1rt#t)+oMY9~Se$EzydbEJOzcNCm#&KU@GK}t}^PT>)0*sOm
zRW@0TE>di&H*?v6PdcuP!aQ2+@FqIiPB8#ExBsJG9iQL13%UX-IQ7pAQC2*<gIFW#
zWR&*IA*tl}LLm@OAXB9adm&e<*h3>eo+MO%MWKwHh;Mz<Wi>)XSC)Y!(W`zUNLWEC
zSPm9m<ngTWZAyuhL8CIOCYygP0#Uqf7(_hzrS-l9`Gp^bw^1h3GMGm}NFsU3K$TQ~
zVcLl`&_PuY4@Sm(gLx$hHMGuCr%tZS977OZuS^=JQThwq6nXR`7YgL#0b$;>rgC+v
zdDvJRhmmmF%aZ$Pbp5j9wcgvfW!(=y;uLTWndYX^ru-0OI|Oq8=TXH*iIbOMdAc`4
z>!@}g4McB6M6jRPuJ7lLJ}asqp(ht4emEUJW2C?nlGZe&q@dpoH<`0Un49|P4wlus
zTl3>$c(%X3&-*XI(*im3o5}j-Yr?Swmoc0RwH!@8=Q<`RFCPFL`LZTsV`EAxf<MWt
z{w6`135?7r1_B?nRH6ixs_2vQ&3eyVQ&!K_q(7JL=8dj`Q;e>Opm1)6_8#m?YBn?E
zMbzTnSXWav3pQH6%u0OKn-$HhXU1MQ&XV?ofEqyq(?O-sk6(8;<+F)+W=a)3iHc(-
zpT9)35}}hSpsNyv%Whg*hnYNPMkCNTEw#dKwN;3ikHZAT)7{jXoN69~KHJJnoXJyF
z7P>#XaH7r&AkKAKycY2%*cAL`M{zacRb)|S!0LV02Hhp<wJZsA6dh3&y4E|sc1XEC
z6)r<n(}iq|*Q&Sgj&dbSx;HBl>?Nu-#<7G=r*xx^cM-*_(eLB>FVkWLZMsr&4NvE+
zP`*NW?#xIF4vU3ZK9;E`FhXQq^Va?Nm*3viHa(%&6L?B0*CI#w@XJkAW7m4Z?1*>!
z(iO0rB&`O-%V#ccpKcjopOgwnH#L+C2Z_Y-h!)BXb;}xEnZu2aRN**;an79Vu&34q
zOli$1!K~3Um*gqz{FR@^&r>^I4Zp`%Eyb%w$j@Gh#YJ!JMerfVL@*Bm{_5-nCqacm
z@8fKlKllDG(-Iv6J~x-1iHy;o^!s0oAi5U<J@s8aasOXc0cf!ng3ZK9lG8LVfG2rV
zwNbr8AjXgLr9*4%r94B#*A?^Rr6+q;W;%`E;^kuUqvOuoaNc7VBL9KX9-ICy^1Uhj
z^gjmS(F1TTKjF?+@wmH}?{(I_xM1UH?qB3~F}_{Tu794TNbjB+VbOQxDCCN;hjt%I
zcPV0)nbVkEo?uAUt*4oafiIM$Uwj8QSmN>XCOewMcgr||X5Xnec}VoGfl-0ez{+L7
z!-DY5S;OK@S_YXHnU{e|A*EG#;mKoyHTe3zjGpFm8MzlGX?ZMqQvNZi*?AS;Qv5d6
zG6-dcw5UHVcS-0cer85kay4Vsgi`=eewjY<jrHr3ft`O#AyD<Gz6B3q@gXs!^AuA(
zWSJjV?fr3R3a>q2;-2`vd6C{keEYIliF2~vnpfMLXXoklk9yX<MgVM=`NntSVsNC8
za%@AAC>wrOmT^r$n-xztELxjGfD+-DD0*+Y(B*-iF8hY!upTfWZq<n&I+In4+#%*s
zK*o!`sGp|so@cDGZ4sYj$}l=NB(Nc@9RR0jkFb3BxqJ9c72*edko~tO(ZR7X)Hz$a
z7%QtY6`-m82NG?8TFrcxZu{lP?eSF`ox&UXGdE-7$Hd0$ZLN#ISQ&zCU|Cz@^H47p
z|K31kic^WhtD&8pwt&-yoS&jaU*!^CUb6B$VzA==8HkS|*17pS7g!<sMm!}I6qMgs
zReEx^9Aibl(-O;n*Veloh5hLAmO{+b*<0<xrpDD{(8{9s=!Vo0V6Z|V)ZU_9Iqx7l
z07ub`y~RZs3ByREGssvwpIjT!WcON3)Z&h;aOi8}@Qc>)11&8>A)m!8EqY{wdXvb|
zq?^pj3?(y=o;{$zy*1sQxh{Qp!+@Ne7JVgI(soJ99Q5am+|1J^KxO7Npj8ixI_Lj}
z!V3b{PZUsLG^cOFr98;qdo@?n_z(#56v2{k3O}xr8$5W?55^0`CyFeN3SB?#1K{>f
zh>str74DMC)XTkRRn1i*9?2k|%6^fOw(nEvxiWg3&aS*t2ef|@bKGg5tl0%J4}Bnc
zxV!QhWYmlv$3~b1E;=e-z^QvTu=V6E(-w7KDbQ<O*F21XN9T~Z2ZH|E=;+b?)or=q
z%iB{KInr0n4M8UkDz*rk+g5<6{zXHot=L~XGq??E_E&kTRf>q<^~zv9@*Q-xO^S95
z+Kmpr<#_TGrCY!A*{xDpTV=4SaS-t>QyQk&-(#(8Ta{~Ft|GEhA``BBn>W-ZW|e<Q
z1M$`DVH_9$(h0{$(}<#5*V07(<pQih>F9^s*_X-bm^@iel`n7)ATUt=9TE%7C8X2f
zxI9_c+3koQQ%|>iqQSKeA;m3*DAeT0Ws_&qlYJfy4IV&vSN?kK_-VnFs+;m84;*_4
z*gSv_luk9qgFy2*eFb8#f3HFa2A_SLiSV^wgv%(L&j^#jADK29M!dK%I93xFm|-;n
zc&zq=1*VRpL9Ee_#cOHI@rQ#bQ8$ZsKqe(EILG+dAHoefvK70XR`J?`$k9v%nOKRL
zryhZW=PUzYNHo*_*M<jkFtX^dSCOab<l}szX>7+3Ic`{4^N?ttvZS>FwhL*069EE=
zOc}HB2VPOJB(Lz&)(<yPY-?bSyt9!AEa@PPwcGuQ-SE~Sm64iUkaolkt)R$5f5X<K
zb?u<(-3XcC%N8g=H}D+4dDx_H-VPDKt5r>M{szQnp`wCE^k!%{03kbk*agvVfk;;;
zNB83y-v#-6GnXR7p5|7U|IbRjax*J)0YQUx^TxD+DaE4I{KV=W+4e-0f*<!Z6UQ(W
zdP^6l?!vZFq6N<y&GAOJ0eS9(84ceK5)Xo1_yPtC&4}*;+VUHO3`!t~7ViVR5Pa&&
zby<{mEoGu3nz*wcsvfwbOJHqK^#D&RRqaABqR!yxC9UCP-cL__mxB2a0w?#}rk31Z
zr+5qNA`GAA!hO1a9uA7M>mF&i_OJjLMG7CvG>FvbYSm+JVUWdJc)uyo$<;5Hio(Zm
z3cyiaa81T&rlnI|5(14NNj9P&#CEKJ@u~?+<o*eeD35W#ZcH+d!L%EdCxjk9MF6!8
zn4^{BI9AcY@h#~AgLCA&GY;PX(2a@%#<)pa<7PR&C||T?oMT;=M!x}H*US$bJ6uUJ
zgNHd>hngcfYJaE9o6z}1lOR)1!_jG`gmX>TD<jO&anROtT(L;HLy*@<ka>F*^k3ad
z^%~6ER)>0p<`OD*Zx!*2iQvnii3!=u@l(zU^SR<jP)MWmufDv<KPzD4y%EHg79^-(
za-URguV|t1^mt2i&ler#tfWB5aY;B`g%b;Z5X6aZ2u7F<gn8i0=i79@&VwW%6L$&P
z_CGi2pAX`x#hrAy{%p$`?MR^rON6)qKIuVXRaZc+=vIJx0bVUTN=Z(muXx``usmWf
zJl!tm$b3hdYTIUl+w$JT=V}sOt~1nIk30w;aiORtIgTmKjffJzj5MPtDq44*S>uHG
z6WvD+bn9fo3#;}CdoP{EQmzt7`bMP;^zKQ3Wx5QLOu&Cm{HE(pXvMkz&i&vrkS2V+
zbbC{v&9N(^X&&X|siRbM*tAT93H2m%iWh&&dp?on_Lt@5nYP1f>)km^0Ba8pFtt6s
zbl6#5V{_3v3TcARMsZ5e1)~Z*^3k1Urkhj=XKox4Z!`qjE%)dK>8AKg^%oChQjjKe
zHn`hCsem@o<l`f#K-TiKxxB=LC|I>?#xHh{^Fc7O<@WmP>GTGOHsO^=wx-9IaY9Uc
zaS%WOqdTEzaL$4*i|QWM1xf0JOuJQNr7^#dBxrgcA@hxuLU^%LmMWI`SouCOJ#V~{
z9=BR|uW8YXuM3fPmftXL_3kcAWsqZ@C<KFpu^9&Bi)+Eiv~MIhutFf#&1;Q#UjA-O
zaO@nY^aaP&?7xIlu3E~Ac99r7Od9*bK~h_o@;6e@+zL`CZJXUf4tKZN@_XZz6JBxE
z>u-koURr6EUY8D;@5DyxnTR_+8yXb1Vk%Aa@Eyy!r&JU`+TMXoovU8bYO+7PSTyo3
zA=1fC=Tm0+EQ9wXtTYX9``mQA&DM3NlmJ|#e;GXKGElq}gC=XQ%)=Yfg)-AhTS#d%
zIr`iSN_re-H9{PBI0p56{pwYw0tQxLi}0<@14X9K#vAvMM4GC7a6_DTwY2k%Sh*Qo
zVZxdSOOV#{H9jnTx@8CizY<g_?x1$wiR_YBK&rXoe0c`L6XX(&5%GqR`cHbnxaa$)
z@xWWOKD&(#1T4)lLznB(Qfx_-^bI2~lhYp3(d?gNCvkh~*d~ODDdxT=(J|%Y54SU-
zFW@IU`Voe6gOL=}E9@z^4yUf5Zep|L?>_sF=LOi|gxgfHd<PO1=NZ&>S*jgBwGF4n
z>8PwdDDC~mn=_WA<L0!)U!*|r)@SJ=i{oyso>e}-7!wWQ#Im=m{w3LnB6Isjm8Z<*
z4+$-TXUVM>2m@#Q7#<m{Z&IA9s<O&8RjS}$og_!}Nk)a2l6B26(~q;C89c{BEH(~P
zfl<P?$9Y+`o8xPM!%js`w0tY!c2<<~NG;CHxxSd3XE1z+!&9wu_r-;A&JPn92^~J!
zqcC}YJ3Cg|?!n%2gh+?;{FY$VgHUN4aajhU76TiS<{#wgZ$CdpPBP4OBd!rjMR*40
z1kBK`^u2$+l`^HrDgTIkjMMK~s9+mn2B&!=&E=^OBla21!{~vu`6!$P(?$l_08Jh3
zs&t#{*bAlw^mh2`O8J6gaT56g6jy($;a>@iCqKl&P6f|$!3Agv3Ot$(-B`xa{}cV7
zQn*SsB!2nlYE65;gAlJr)=&UtCk%GS;o8yNjVr=K=w=5P?tG<WhEg~;(d~1Q(HbTc
znhb9cgiQ!RqTX$ubvP{G`ZOS3*G(_TI3wKGAMUQNPdRXmm=~Wa`JV68{bc(R(G5xK
zjOz~+I<n!c5o6q}rp(^X_XyS)1e<lS2=;J`g@`ssM)9*9_*Oqobs6E=-aHJi24s;M
zB5tJm@U2i6d=bM33;2HcJ8v`;g4JJK_^3kfRQ&l%5t)bx{@CA*kXsPseNiMmU>UBG
z^s?SpkvM?r<&D)KiqFS3-t8Cep~EkXpI1;NT2Kt}=F8q|>V1&+*BT3=X*K|>Y_s2Q
zMWp(xv~m_35?Q~cTA6AerS14geMP*Zp7N^Nig?dYZtW!L?7jK^vhR6+p;ejaO&U-{
zX&T7<EmHhl9Yh1V>9(tqr`W~+g6TiGw`vOb472wV?KH<rd=vdYu8?HAs?ze71b#GJ
zQYn6*wk%H-dFxCACnbsUNl8+%MTxo@165V@kZ7B#O-%ej+BTd)TCI;N$CQ4Eti^*+
zZEV2an8hm~b-uudtB#x~RyE?qoyfKO5G6+LUlGs|^qi;6Z=+1Mj1yPtU(yX9B~EDm
z)Y~|DGSb>qZU6JKd*>#iTxc1pg0jk0hJ6dKp0~AF$_#CQ+#|8ME_VaLfW1LLI9mBe
zFq^3q%S&h{Ei&`YPZ4;3ECWx?5`clP?ASc6c0)#M*uI9C^miCv109+tIHs39q?ybD
zG#7A<OW3=`3o-r$ZOT?DN<&0f@9!%tZ=g7&8)bk4z$<vHh2lXAkP<9@^E3=N_~HBV
zmYPM9y#H#&6921>ScScoV%;rZY-lLKPo=80$|a(lti9;6InBv^X^{ViA!I?}b^fvu
zM~JYPoIv?36;O=as488!{JZ>ZhJ#c~ip}-9n3mH$8G}NHM;ezMW5jre+kAE|=PaA3
zmkNA}6q6WEKYI7wr<F8A6vv45DjbF%FBDT09Unu5*HUncpt|iT>tNkElCiC#oFL>L
z!q<XmWvp_~$dccxBWZ#7l^dzi=%}FhJlgT(@Tc(^;kxU70LRb!Y<w;)fo0}xF}|e~
z5|9#beUpY?Auv_mX`zIlMBW>Kjq^QJnx&5*U##F+{5)rmbB+(tJ^4BSF^lr0#x_g?
z)W!geD$U_1IRzi_N7~O|Pk>(06I^^`Zz7OY#FdRQ*CY4$^0bHoOKiDYXdqR1K1!<J
z<Q~Fzr|eE{yQxFZQIY4ozTHm;U*EJggiejKzqD)jGtV8$J0sz#DuaFBZmz5&$V&Tp
z^+yU>T9>mBPYZ>9H0f@=ZXY{wvd1)3<S#nbobF^N>#i&M&Xh?k$AvuoC~J2#_<<#R
zIgw>zFlI$Pr!CmhUil@1&T5+LE}(0bz5WhtnD>zh#SSC=-fo6~;&+EIQU4zB%L!=}
zZBY)HUbGna0zr<y8a(*bzz8U>KoYM6PD^Y*V+s@{QAY=0iLI`}*;s+d>JDzQ!i@dt
zpf^Q~s+Q~c?v`&osgHp_DDPKk^9ZpHg9UZp%?!$%)3=nNnXdfH(Kz$=oDhw%iqifR
zuuMJooE|3@xvY#=S8hr6cwObVp_qb$weN?M*1sO4c&!1LyOFyW`ktyd0juY{QzQn=
z|81h(v)Y=C+`w(>lw>#p&Ifb#+&mQ5jYD?k>(6rSX-A|`++Mu`9A2Ni?F9-Y2O7n9
zCF~gCr&jF=3@J2d{sgVSD7#obJu|>=aMx36IAn78e7`fI1PSJT6x}I`2+?K^;u@cU
zpzVdLb?*IKOF?46v4C=#*XsiaoSt7ORp`;p7z-9SM;kOnVeB&LeIw<i3&Ul4nx=Ni
zKJ-A3(fh&^coj~&n?;%e5lxpI8_YcA=l%>i#KGIuf8~7}avu<=-i{$*&$K6ydm{SH
z+YpE$98ZK#ftLO|@T;4u3MXY0b++3A-HdC-6Ww!?_A*;%8pFo@9D!A#Fi^Kdhnxs@
zk@UWF*;^j!UB8y<`i;l2EkY)XJe5mSIlI8cVdC=`qnPb%|JSbcE0KX)LsKG5_iDKv
z3O)DRwyL#&0=T-rsAdiLCAp>s)+W&*0oV1+$>*sfuHilW2^Bwy^@AT<wFx#Lr#)IW
z0U8+3Kw#xiIB<L;L&V-+>F64+U5Ii?t98PfxoqiioqEgV$;$h{sxj94U}}CEI(hx4
zeMy`+1zzfE{uBLFNuj=t5V`NR8K8KtP9XiJ7pA*XALvhf@^|n`9xF**u?{>rd9`xv
zYkinYu<Dg|;t)6@zeQe%qf^U&G2j`gfb{5xOL<md#59Gzt)q6&0}?H6iferI;Lb0~
ztt{35`js|!BRz8EL(H8ahlz=~fZdyssmt|F{Ka>~Kbx&QE-k7ETN+-Om~eC;x3d$t
z<yRMW>7x(s-2KK8$NH|UgZ>Y<c}t~CIEDf7IT4H>3=tRi2tB=#mDFwvc)_D@32n?W
z!sl&3&D+@c_(lcPx{@brRF0119hc3syy*w#y;erDCssgQ3y8%FI-Ny8Kv$-5$pJUA
zeFfCZ%K*dmWU2%*KgJ;9xR3I9?l#m;^`QGT+W0VlS{&l36HwYeg(U$8vRa3;Ly{X0
zSe;-@#^U2PUv$d}oGqWLCq}%K0yC!{^f@grWb7p!Y~18T-d%Ste8%k_qrsn8psO@a
z^pnr{b5$>KSGpXiz>5$v?vZb)^<5gH1eNEULH$W~f8F(CON5n8hxd>w&TW7Zk*)|N
zHck3{6t994clRR_*U~62tLPD@MIV@?47&HIphI?Wz=vnrSp1$XtvXG<6eMN&6e|#o
zYlBz>x-K<>YC-?|OBY;6b4*Va4VH55P9{5B)y70y^s@@!#oej8WnY+zS>!RO38+32
zz<=S=|B{aI*;0)D^X*hpSv!2TLm(3#^}{38kUd%!A&3p4W;%q*k6^hJ@i|%zSh(5O
z*Qr~i2A$XrYl1-zzPJ(?d%uln7ow^`Hno<lX8s4!;Z}A1;mm;%>)c~IU>rU_{8*eH
zb-POSy<vIb(K5gxpXBj#J2zUlFm<8;<?n9I0qQl;gfvu#`|3>&xOH7=8#cSXFF?Uy
zhw@u}?e8R*YE$dCQC;UnH-V51jp@ATuwG4-#G2C7T41yEgwC>CmOAtmW+uU;(qXvR
zML;^v0G-lFfI+nUpSI3AEXr?v_cIJJbV_$4NJ>d}sf47`Eg>Z^^dKOe1|Ud?gn~#*
zcY~BlHwYskj37v#HGA*x{`ouS_=ne}mooFt`_5X=dY=3K+`-hQ8o@04awEZH<n8ft
zr}6U5Wih^%k~vrDKj{Cn1ImMM!c4J4oowu9JO=%Q#D@U6vl{s5qj<|s>~G!a^4X^O
z->^_x>*Mo3qYdwLbj)2wUxrPFFESPWtO(Lsa`kWz92zn6O1kmBwg0Xl!uu9{(PTsZ
zL2F2ZT+@o#oMliGtgj(#xb{?MdoGUB#I&vUVyEB+i!`chA6`D&Fev}=GQintMzJy<
zs~ef!=)2uWOg;v+_mp@9@G(C;qM>CNU$y%%)QXjZwy~d^gBk_(1$#$9gn)z$V)9&_
z?jtFKjfAuk>~Mcwzl^a!!L1yLBT)i8q`n?=B6-PSFt&E49Bt%_SAIxl21!{FL>Cz3
zZ{~F1688VLZZBe9UY5TUR&Pti!;(6ts9F9q6Im609AeS<_+5mlVp3=n-31;s&5ir(
zf*mrL9Kr_am_o`dtzP)_>K%ti)7E{Wr+AT7(4=oxIh5HSm&Nc2yB?6a%VB?nJsP89
znt3kDgP@+y!&6F@hd!naQ5Jf<VNR80B704KSc>9s)k34gYwa4rgY99tTpUGD&>AE;
zoaQ}fAbrYRg=-g{W0hV8dNZgWP^b_Y8M1ZJG`^jItgG49xjPVt8HzuN?@2w>IVl$6
zw6-_u{;Oe4CQ+P;_z*EexqEN|hLDY+zsz8lP*O{Hg(WnEWj4+-IKAR!S8va6WKI}$
zuCArL>eHlO0X^~5!Lc2_NYW+!P&tjQ&SNUq*u6c|ZO)w_SUbs6JuJUU#nDmSvfn*{
zF-Ms(vZV}kjRTA)S9s&3tu*N1UndZPfYffnYnFy0c+GkMb~2nC7s`jJbNj`?^VPt8
zu}BQNi6Q1TrW3?0hn1iaN6hCxl$ru|KiAct+REfF<JYZ>64wQ8x=d-VIVA2j+in&{
zENU3ZSAB`gc8r)Ju6xkh=I}9T9<iP%5w;zi)xhPh!dUa;Me*EzZgi7VnDMUIap{nW
z#iQy^!*vckf`mq5@Ibe_(@3DC6>D~n6h>3O{!E*H8?;Y`$PUNwA!uefiBsn12+9_>
znVgU=JMw^^am2(n)}axDS?;n>H{ltw>H%Of#SLEGWgUly*cbd%8jZl23ee?d?RlD-
zXl*Y_C-L5mB19Bl)*QiwP+_hC^1&ah!Q`Y^y-x`}c#kWk3B@Fw+|JQ1)`-siyJKyp
zx5gzOo3#cv=xlYig_xR|K2TbY{bnUG)p0@~pX^In$NXf9T(Dn<Tv;UZ!6Z2|*CFYX
zMbLqpuwj~ZI!Anl$mLBq;r&*mI7Ia{B|TX?g3!BvfcZu;U^y;|#T8%Y0J?^P_+!+G
zuhz74O^UI+s}iZqzK$s8@_01f7w#p6GHJ!+ljR;I0m28P=h-4?i>K&@cAo+Ic-%m9
zn%#o|9imgZ-5nFMNIBF>3n>Fl3Kps|6g_PNAr$h1FnK_j^b*t;|B%!JH08W68fjVP
zOL5eaN)G-p&#m^L!}Ig*`&PjwU`tlzz8#A#mp7s!f6${tEgRJQ2MZDlDFIHQcy-V|
zI*&o6V@^fk<|g2{wta737q1E{5HUUS=ai_a_)u=L&2ZL?c_&>Vtg?WH$vypfJtxzl
zeEF|Rae;}k9LuX3U#o=$<DB{lZAQILi!1cYWG3Fl{RLu)gX7GjU9F|Y+`T_R(Vzc>
zJgvPxIe05{ZhZ3ReOI5-5#Kf)szcC9U0M9&Q{L<0Ia80wv$KO%d<9eQ7Oh-i8)d^W
zJF(SjHY`EJ`#0gtPDxTa8*&d3`pz;GF%Y@oTp?`7{mT{TF9t&iB}JSZ&CYDZGg7G)
zEmr#%pHPZVN%@GMFz0ZO&|t;TX1O$rKp3;k_Pi4C4v{Pp@3KF2_1h29(JABc6_Yu-
zeFbLaYp|#2%L@GDLdsV!c=bEOuiHc^Dyy^I|JQS&$WL@AHAM%W3OnrQbdq6kru7{T
zcZw$r*e!V@%!j5j?YAuN-t3+(qnxD2Zb3}xd(KCGc>2M2BXcKJ5$?*uYNx_Nd}zA4
zm^Iu8L&>62=OcZ!{^i~MQ)wwO$z~}}DtS&sN;F2vDCB++0J*t#Cyk;mXPj6Vi{yMW
zmPP~;a&v6$fMWL`_9$3k-xls6ntQ`K!l~MkT`myO-_;vMld=TmDZ>|_N1@I7wnqXr
zB;{#>>wd_1GLfR9K2WxfcD71_PcdXeCP|(wQ?dRXp4?t+LTzitrgJX-Rn=fvs4bTr
zI&TUXvp+pWq;}qi4marL(VQBUTK#J-WuOeyAKJIO6khkcp}2KRP92OkA7&YPrSTW<
z|LRTuaCLmKFbdkx%!iXZ=62s(d7UhD{Ax9lL%v429GQRl!ez|%m=d0CYV+pxgB|l@
z|B>(RA8Nk|ngwX_qM**%b1_6`1c8T$HC<Dt%?K&GPC8NvlX(p(I{FIyo~|cT@Vw<+
z`OW=Czui}%)JciBn;P(Ny8`&SDok$VTZI-o8=OHySze2XJQJ5`3>GY<(&b2_m}eC^
z0@`wZaPfj%B!g4LbeSlL0MQ|wg=3%-&;jO)824Zd+@U}Rfzy}FlX@VUfS(MD<=R*N
zvwqWN=+%kMy@B2=AI<E~Z<gG+#U=)LzS_X(iExNq`Qft8^pjR2hM?`qJXG<U%#DUr
zc%^xmkHKfQ(<jaZeEqxlJ8`pXanJLKeQ4<#GgIYT6*|0N-8QaFq*P-oqd^l+tgq7X
z%A`BV(cMtVY<-wDlnj~RW1gC)ai)kXM2b*)5>49wcB$+n4;qj77$BJABd>CpHEP(L
zM^l$$_AEFFVhW-6V0MkJRD;Qt6Q2cB;KqiQ!SZq|^9b3pEm`))*L-Lt1SgebftOp*
z@@{L^{!{c!JHuyx@=dEXXiJ4JR!MY-M;`gXpsbfXO$K`!lIBjZ739~rqR`~2ZHwyJ
z?fnzt`xOiQW#Fd5A98nR?C~A0&;`r?VP0drk>lCg7NF1eZx3qtS4^+xmQU*9vtdrV
z6~`*;I@85Y;~mq~OM#I^rm%gq;0ghqxO9PJ)0SI$IAxQ^LWp2y+@~b2TeCjbCPpm9
ztrq7O=dy8y@OJ!>iF}g1x0n_Oxa?vNQC?3ye&FjY^rj|0w8zJmfHhkjd3>E|$E}90
zE<lW@v(p9=#jI&9p(9b1UO0_#yPgQ#ub!5XiM0E;&CB23Smg9Dc!WJo;N*hPZQ2P-
z+(2})k5)kg5u{QKkt+);cjWWqS})TT#I#IVotmAqyvdurHWQdE8->R>*6}kSfx$(x
zooqmCFdkNpUc99s>AcoAnkmbg`1$52mN}XTm-2?{gW1b@k}Qpc3h8#-u^~+!7H(>f
zSfb9a@M}G#-3Q<>DQ(pe+IOE+3DL3EV<x5SJRZ>i3mg}rMu|+Jh#-{oc(>Q&*k$-_
zUPP8uj=&E-Yq9`&O8tr1^!+}D2!8^YqjR*6Bf^CaZ<}e9lUX!vd0(s@UkZCd4wYYO
zmEH_t<$UfcBCA+K+KiJZZGQtRfcE%+&Mv3^<?kqs8!w|iI5mHVaEG9CB?n0$(&Jkw
zCO~${&(&3Sy~s4_O`6IX6+Kx0-SK5dB^Q(<@kP#gG>0yym2dbPtCPl}X^5Mx<Fcpn
zB-*8IIuPIOK0K?~Bc7yL;yGu|TXVpnw~aK0y+V|<Xb4Fu*lhFfh=p4!5!MY6KC@<$
zBModeWhE48v{RHxrG{M3BVm2hqAk#U-v6IHhY_>qtfld^b+GtfI1l*?e7Z;Q+7^e<
z-n`9i&5FT&d{WK$BxTTet6eVMWsUglbLH2azGa%>>@%|gi?|2IIl?!?B;r8$A(k7$
zOmnmC;TP`BZ!ky1(4G1e(i3~|_2nuMR?Zo4Od)2;JhpWx>bC3i!7q;YWy%tgg}508
z$TL`7=A>5QJAKL0&n=MS@jgeAW$BM(<Qp}sJ8Gw`rC75&$D*h_9&`Y&*plfs+aI@$
zmo)fgh5cR*Urn0T+NnTTPjnicn?2grK3X1}_2mojU0>Js5|T`c*+jTqhM<^`cfHxF
za(ltC=7qR2;-*b@<)Axw{O;rE1lYedTHh=9;MAFQ;#S=&?V7EhYxhB>H$pvi6n~3y
z=bm2zp{boYGSo2+*+;KiwnrS=M{j>=#&F1yv-jL|n?Gk%wPL~aU{r@;l4mSo<b0)v
z;pr#oKXN&!TND3LLZn=P?qZeIJ%D@C43{l}ESk%9BChs_S68~Kb29IQGBY$b{tr%U
z{T`?hPafNf3xG4pstM$yNPbSF_v+_0b81VI|JAO3k7-xm^4a?IchB|TdUjQ4c+SiJ
zQPciI5M<58=-izs>0PDluW{nzWv&D}%B3l!^o&du#A_s3zf?^#O<75?XT3aW-S?Lr
zC1`r8if!-1A?8%(V~|~}U2|pjgXTEx>vtdrpDEoBFwV^yznFRFq3-_U_%GE*3RVEd
z1;3cn78$5ZEenb3{M2epou_fjPjtG+wWHCg!?x-21VEM&kM;AXQgM=QBk2mai|UNt
zT#UMG^4ci|qWdW*%t9WiA3GJd($y9&{e=nyoGN$l2?YdQP6X-ZTW@{Rr%8M>PE}I`
z5#>ANYo7zVr%8Nl6_m<l1bzs*OW(JqPO#>`YQ9kv74HMveqi?O-M5~_w8A-pIZJ?b
z=n9C2L)MxdR@!Vtw8HHcDmP?Y7STR~TzZ>Cq-^c#Au^}xOfB4ZUez}mAqe@-bsCQt
z9@TeT5Y@k}5EuV0iyD{kEiS>q&fWa47NB=jB<>WecAn;@%Yq2*Y;lTMZDWa=8pGGh
zRl2Vi1y`51!W1ghc6kk6u4$=~-h6}0`mT?Tp>~Y@%j_Cdl|PPhP2Zucon5>PGx#Ow
zyZ4E>pq%M99FWjlF^HZlJZ(L_QNoahB&@-NXGeSzcf%cA5>j7UaR2XKI(UriiS_m~
zUKxS*Vm*w?1qpRR;#6pCAqXsC*A<P`^Ns-#oDSz*I8B0bLp$73fHbh3K`lq9?cBQ{
z?<c1FaiEb%|9wlq=%eLA6u=fRDQ*M(_dzSPkm{7XnoTVepqh4of!Wy~z1mYwc54~;
z`8e*rMoSTJ=FWhoAk(?tr&zCmWJ?f6FfUi5)!_<x<{B>Ku|4(CzvmquDYF}w&dVB1
zZ|&Rnt^#Rb!Nq&m&W!VJ9397BE*$qNXbxEQ^$lrD-h6Zp0%$EMXO7|LuJ1x{khreV
z&{C>UToO7-oXmGkeLliJHC#pI41|c>->u-ne+9E<b#9?#9?jPuV)al(Io$?4RzK_H
zmw!tOFh$ka5RWTF6AODEOW&F%c>;*Ux8fAnzIRb#LmYU(&L>FQ_(Q2Xg4y#+&BJ>z
zb<kViu_pNA0vItEwelnoT;Ta58TBH0O2LGmq#1IZrBN#%g*mvl-ZOn=+f5aK%L?TH
z=CcXN0{C1fK$yVJY<E1J0O#GHwZ7y}eD{j#Gy8lnz^Ez7Q*7SAimrp+J=vYpLJFb<
z>~2UINQh{%5&}L_pe@;G&H@MdJ60CVhrA#-MWsEvVKsrRrvlymIYXoi6ZC-BgP_MR
zZ2^o*3pvU1cx<`m5D1(464XaF<o|o+DHsNg4#fm$ux+BTvhRXm20RwUc)X}##38~s
zS3cxuALW1@7|BU-E0%}6AG=++lL&1v&SFiR(b=TN%gdIUniuVq7Q{|mvL+4cP9WrN
zwyBAqs?<zn9~q*(2_e*F&d)X7Pp|?yV5a9-y|jypoj0LFU{p)G$7u5c16WKS^H)rI
zGKaX=0%`(y$OJ>DHdIg6m)0FtjFe`}K@f)la0lKFII6}I1S&EyYb1=#1LwmifPT*g
zSG^G@`dhpgUd9XVX<Q(mpU|Q>MLvWKc`Xl$BEOHH!U_I!BpxL)R=CR=<*1&AS7TJ7
z$3}H{%Wnsz=m}cLB<nA4JlK$p1mzzuPmY8&buw#j!%YZ0hM3#VraAKIDt?!1pIJv9
zxvh4|8puvWg$~nw0&vS)$;_KrLLi{vu_+cObpF#)s0`I1vI=9U-n5QP^Dg&1JKFUF
zCN4k`%+5btR8madHzSP!_i#Q@l2oq@0Ayr@G-)5*OkTu5keqqPbSg>TH2yuuqtXML
zG}f~e3k%kSlmiC{0huD4Cr1<#+s1<xm>YK45Fyx!FYW3N<WaW};HYVxmZC(_s`~Vi
zBX%IBpT0TPU#6A8z27A*-N~T!)SwyR<!_nX>Qnv*Fr<HGvu+;m-~T0}EC#f&)8W#}
zx5B{Gq$Taya%I;xPV<V=x}_`<$!vLZ`NjTS*@uV&q~ORXPU1maJKKdi&qxmjxJU9{
zYw*eD1WzUUcx4>e){yFH<pTF>`V)y0rGm7ao$WCOz$SU=z@)!6t6#Zb2MfMgEdP~E
zv%R#NPCU;J3=|$cM`Ahkv2UZi)CH@WJHh4s7#V>YA;vYGpL`-1Bb*#R@QjTn+Fw11
zv`b6iqDFa9?*his<CUjKN?g5_7OV=0V0&!E9b_DtPTFfk0jc7(oO0`{a2aJjttzZT
zb^5i{MT|X0NjOJ&q<y6UJLW`k|7j{6<ww>r+MBbiYg_|1`@G)N6jG`@q5%}M1DOqZ
zJupzNYTZ>?r5o9_QRK6!M;whoL*CtskpLHPxbjW!zveRl1O1HI?#;%|kEE81Rbwee
zN~s(XIdRwcU;g-d87Ve_>lrhZqM%5n?s!Kwh&D%_q6*@D>698WTVWF+6QM!tT&Vrx
zXiF4dPxB`hFPNm00u`4ANkKQ3yRhZR8IG6}E(@+Oh3%G#R=C2*SA8k@jB_rr?QpSh
zh<L0Mf_f$U5HIHW|L92n)mcD*L2OS!TKNDafnFTcgG*1<_L(zoH+hv-uP%~oZxO>I
zs|p$X>nbp)w@}QH!phNL%`^6%W{t8f&ECU!?jekgz-1X6&r=Kssrvu#|ALWC<~rW9
z`(Jb9e@SOEG8Khb1S1r#<{iOK76n57uF0VCY|WTg00hMWa8Tw5sHB7s%_3C|?&dxI
zF_AyzS$;!ob4v4h=ZU1Yh<$p`m!%ySozVd~oT{K4>8^njT^Hk1pSRK?jetGF(_19*
z-}e%}4psr3r1FMeUth~e&IRpRID^*+4LrkRF`s`W9yFt!erYl+|H1qu?M{~8JKw!l
z*N@wdqd(nUC(lP`KUq<q5{Wti7Gj5{UnjTJM1Ow($m`iP3YKNg*StLeurcXUT=z4$
zGI{x^!q7c5eFswhchoO_lg?J!MGrx=dvyu&oq9_i*1LSWo_<4&U)@i?%F}>?z4%5`
zFWHABKzH=g^5mt?U3fVz>r}LhnQ6UXS{Vf#-rO4&+|qi$CY3n*!scayUv=R@V9bBN
zF)3-_$ujW1FFN&Z;Mw+!N861`$Isj|B7HY~EL+~)lbP;K)Y*;WmzWL5E4s#z><G*n
zPhc&~a+kB)Q)nc!q`oqwKvwy!1I{605<HIpmhiCL(dw=K2y%i5V#7{d+IA^zPgU5<
zQb=qYz;9O@Z-Q_AHY3C_aX1T+(l7hUY<bviZa$sK4(@tYl=aA)?lxaQDp9=nXr_Bs
zVDg<;HwPqy#JJ=EfDKh5r1j*Ly?@id*n`pMSpU?91}dN|bQxB88H7F<^>O>Pjyu_W
zQfk~9oOQT)f$qBxkex@y9~WVMhvUUy>t_L`I4k?Px{IC8Tcc8I_@$<3TSA~udUdbZ
z($;md`5^+EkXm*YI9PUM1MTbH)-gv7h*hOqh0c7d>e^PCc!tM}U|lGP_TL7mojR}(
znu1(bi#u|n)}SsJ2h8&=<~ziSaS3f;zs$GshQO`0KDUCj-!bQBw%@-_7r4Q8!KD<G
zLju*+uQ2++v>H7KGbzC_(4;PW<HDvza9_MFXYoCH)bO3!<d{Sy3%ENPMB!BTF-VD)
z{Z7Ji$SsHK2xdzLm;LckQ0vrpivZ4w4}H|aXf@BBSL?Fz=9CYqg7F|FSJ5xeJ21$Y
zv=L7hX5Bp8Wd2$#U}X;hYdT{$v?}tO0bpY=`9cS@2ixBH(lWw)R96B;vkdxkUPS>a
zr>DE@;h2gaD3a<g^}@&yr9d!Ua`>_J^t}ZT3j91qMdXyxo!%`GS{!0ic`6mcTkF+D
zELlGr2e5v=ToSy-$xg&A9IiBuH<wb~3rOAXReJ(_4v6weFC29$bMlf~$^I&Tju{7K
zOE{0UC*s-31qr!LPw#(St#mL4m{ITT<TGCJ&ijrFf3FECF<^;T{W_TM8qkys#YWF=
z=91P*`<%|cF!{NGDulWMo{`vv-^dggHh;+psjCNM$-%8D7Jvzt^(ZxIvq?Aqm3VP}
zF#kAt@d-`@u(;uxzPP^NcKnm6&TU2t2-?zMEf@_Fu{?xw2wwb_gi%qi_%2fu*pn>6
zy<NJYEN(8*|DO5z2;=dR%?><W2>O7*4CB23Fc>0t0^T6N*<lnw&#RC~cZcIL%Xi)g
zz_rH8i2ByOwxVdZJ^8_6<8G$_ni0!yo{$!5>Nfd<!&50NoNc!If!2k5o)bt%B1u8A
zG#gUADb|w{2DZ@pL-zg1{4};2|Gh;L5?)poKZT3!`G#uP{mXc$(q8jH5{&P33^0mJ
zx=2%C2_mw0&!P1D)WC7*>o=}O(;z<qA_{KviFeS3mw{n_gV(_UC@bbJNTwl=E@&Zn
zqw;6NP+A|g4#cTJo+1=OFSfwQpaB>aFX3EZ@?8H*N<-(GRwm(1yKG(gleaMGPA^O;
zpMxKR7O*5}1~5Ot=QMe5N6qg6wZX9fQi1uSll|PV%2I0x(~ih!!ZSVXNj(9(Pz=+F
zLD(7@l;1uJ^)^c{v$CXGcE1F%kjj1PC`T|JD+9Qt@*I0mp1A|nUwJP_N}^zy``-uE
zRU^ebnvVw3kD0O>F^0X#X~n9O_&)i|`gFi&r~Kix1F1bZxSGiWy2V1{#>aM9(g)hx
z^8qbP-u){-D+@ICJbbr^9<y$$Nb=ly?|?(dY_pmD43|i#S#Rb-a+0p4Uw)MjtCbo|
zr9z`jh{qs@kn0kiUz@x3->lq$dCsgGG&6car-9M-Sw3#Z*k=rHJNyeqOIw{TXt8BY
zu`d7+vL(-vu$&Aa)V-BVuqe?Uk1YlSv&$r!IP~GlTYHuGc%f+JJDH+Awc$?j0SUN)
z*<#oP!p(X}rBrq`<-NWpY}wTYSaxp`(>Ci9&%5oowD}UtpthTrmh8OKfLCvKj%2+6
z{?o*5NnuS|zPzqLSpA92Xm53QgZQjsShEv^>HvlkNyd0wtv5$?uv8COcwvW{*<Ec=
zwVP@Yrqo2a=Rhx?y;%+tg)ji8<J*v|Q7qQ@ON4>{?(Fw1E-*7_+AqpixLDgufYEBC
zBjy|hA(o_mWx5+=LXQLrJj${FD6QYZ@2kFs^w{@JMP~reT?i%%Wt6DX9OJl6r>QaY
zMlGJc(Vpv2GG~wMFHilt5IA!4-ONRf06KeaYo+Ybv>ns!?zNe-^8-Bhk?gG9)p(i*
z=vAKSqg@8Kp_kttJqB9!>A@E=z#%I;_)?I`-J<b4M}Es|Evbg!nxN;vePHMf1A^(c
zZzW#UO^<pL9s#^}G=4ZUq&riznSz#CO!*I_1yI`S^*-h4ACs`QH$`t^wRe?<7ngye
zO2ml|fI?J(IOG}gB|c~)cEF;XM20nSu?%5Shf$%+GaXsiuv=0&G#WoEENZbnNztE$
z2p~m}@U94Wo+_-xdLj`#F!f{oCkLC+i=_3dJy@Kkln}B-0ak)(bY0N#BYu<e?1P$d
zo;;w<tvCsKyJBM-0<Deox0Pkk<wf@W*_S%n`o_P&A3H_5$FZpSxC25zDY*C`FInJS
z2A=MQ>`QRQDPdnvMW5V{LCl!yBALnJi%B_#Q?V60D%5X6(olFlRL%1DS)RDV3~Pp*
z$N&gM(D7?n?`S-Bu3Pl)JN^8Ynm4(3(oZ0Y1&N7g9N@<tn>mIbfRn|2u;3b?=CuEk
zgc?|Yy_Mjzp0T3GLSypI@2Sy>M&G^4+1j(>WS6retDT0;q`I}FrtXf#nuqCTpB~AS
zDTc#_cRU#6P9ZYeW$9o|wfK>jjvMB_n;@p%uz5Sje93R;k2u>H>?tj2jv!IW@(yj5
z<A~7ffQ`%_mN%Livu$AA`&eF%@t@^#3Z0!M*oy_=fk2e?agNFdm*jxK9Z9@ro>8g4
zd3?_Hn7n?)ED{<xW>-D3!9a^$g*1{_I%gEd35C~oIky3#mA=v*c)sr{XlyDaAH>)k
zAGj%Fod{WSE0T~hdg5o}4&7ZIw--R1Atcry6zFzx<(L&>j(Mt4+EIch%nBd%@}I!m
zSjiA;$B2o26ghkB)HU53kcfO7pFS4IOi;ThED*_ca5qSiAAITH!}&@T7Rb01Ytq0n
zHbr7mF6NufE-0_%@D&H8Cwb9$iDSl(d!(Y{aLWcvaZ9{<$Ae0K(6lcB-Lo73ulkMm
zQiHj2c)P4M(955u8Jql5dako!z9<rAnZyhBv_h?>-$JiKYKI!liiX<&tUrDCi|(1s
zD06<6Q_e|EBHg`daA?O(&;GvsF}E^VzOlE_cg_)HJ-FOLkuQSGgm}N74SRC{L0$`-
z=kJ&TopJC25xvN8(}&AH2&Yo}BNIh8UrY7%1aK*m?n7eW<K3<*D0ckYQdfA95aY-)
zs1DLtU7a8#FYdDhzLu0qUo|?dq5=1f<`~5gJc_eBRi5lszZjgM`&lGjtcVYDVv6!?
zellVZ%+@wJb-*+POV$Q)us^7JfC3YaX07p`c++rc9C;|5h*(PzD<+R)B~6yH0s=I8
z-N8kABRk}2{c_AdrRMtfplPfqG!Z08+LnZtXHgxwkUPFc-<%#9;e7{i(=6%*+H>f}
z)?_(GH|Cvyxtwu%8NbM4BYfY`Iz}uv@^Hdw@|t_TLXK4pgrtGFzDI}t(C_KzkP7!n
zh!7`&L@!n{S*)NYmnjcVRh@xh^9;=3uv!x2fB%K4OGyQ#M*`Jg)RGf79pS=!^9ciR
z7E#v)9K;=3rt^ALUE}v_X7W^IbDdb1&Jy1ae9(-D-2G$)HNkFi{QO||>%Bd(EmZ2m
zXTJ#MN2OaVn(FE|83UaI=EANbK3FsrKJwB1W2;_B1kdkcfI(~`yDFve3^YBl+R1IB
zp)8886;w7=h}Uj#0g8h{{l2lXn)EYV!zwd8cBrOoD4l~n=X^@FVWglpO9hOPLSm3R
zTTeYy!<Mq00tVr}ow1CB2(jSnKzNmLq5K=Eo46`x2xBmSYykHl33_+ro0?efNPuRu
zY4+NiHVB&{`Jw6x+wYm%(k%F6SgSPyA&5?4WMb}Fh1Ld{u8}8^Gt?6rKx?Tcs_X6H
zs7NXYl_hnCkoVGQji^xg#ihSYhj1cR0<B*re27#|lftdoxXrvNLRo1&CmSEI<`8a`
zp537O(Ukggfkr38Wbjx4k#lq+aetp!>>}behmsI#;I@5mqw#+YbkqL881cQUVX5)A
z1^|;Z0OB;CUpo}%n0}?sU7=w%Fq*~k%L~&O$4KvTD}~WG>JQIz>bb-WQajSb{5f&)
z>Dx78*k-8F{oR8xbh=IU`J9mxFaij6jAwa#6%<VyViS>wCsfsjC_SGMR;GkrmspRC
z{Dqgtkxh|eCxCo*e82aL1Z(<>Gdcw>xb2UAI+0VY5~nhvBm`TgWQ|?Ic!CJ*47EPG
z6_rR?(bq)xc|ZHbb)&%m`4E)ALHqeihn?&pLkrX+?enr17h^RL?~>Gnx0<eG(*0m@
z%c_2bph4q$GmDmPi&pJcR63Zf{7&e7|5uwDqyu2JggBLpPjFs`Fp^biNn>@=qo3;w
zBF9GmEwxsEWT8?wP*MHTUMkVZNoaZ#<W%+s^kdH1^qmptSH1VN**^7_`~8jE!^p9{
zbpmR$_Ne{<GuMK&g3B5CC2EMYTV||mk;Ov>2z5vJSHG$7GzZw5e&#I`{g`BQ0U-YW
zwY3_9+u~rPwD6Y;_8-}`$iG%DwynQAH2+@KSW7V-jrVy!mo};3+>Tn4%hJ^v-f0ts
zIy|MZC8M7|_-Q>+wos<1PLVTu*>;VUk8B|Ai8yNnM-oqio+#Cug}=4dU^sx;sVs9l
zuJ*3V-5nzccBL~!i!;9cv@tH$I3n@}j5&W6=SkOhW&<^8kMJ2bCwb|}ZVvLNG)Ic!
zR0>p4DRw40p>ZL}r*3bTc<$MWCe~a5;FqVvHDvCNur_7NodXckNgQIXzH6}0z{_#w
z;K%Ttm{+MiSG8JC0-!@)e9QZ)a+e<8pZ76nEgm~Hm{APt`C-GgadbA!pH<cZQMRCr
zdrftjeQ=>VyOV{_1p83#y8WDs&VL?nML&$E@R6F&j{rbrBfjo7x#C-Gx0QKOJG8Ss
zHGJv+!R+J5VQu5jfqfH7LWBS_VhPMP7?r7cbjb^iaTjg!l<vqze;f6d8f&k;vSi*$
zo?!qC8Ie60COXTUzSs4!Nb}Z9a!B7C^Wv?EGm{VWK_cBQ$Cxv>gFp#Q29cf55}2Or
z>FSzhmGQS{+<z?n5Ti@QnIB+&WpuWGHQU6HAy@i~WSQoA*<ku4>vgkyRT@4kI^npv
zn4JhD@yd{Gzj7YeiV6XjdlWGhoaF)WFckq7MF*0q*A!Vu^neJr=l*>H4g-NRNV>Ki
zlx^glSH<)1{y90`XZ!R1xl^@=3ul%lzn)GUhmM4dTs4k-*$%s$lHRQB8w^1{2qL$c
z4t?ZqC6oBg;uS~(*qCd4uIgbb^xY>`kv#>@i506TgQa!YtNGaQjsNK}JGVR4gT;9=
zbm6ha`OJAt@_A_YaqCx(CvLk{F?}?u!AC6YmnYlg3TOJ=qf=_l+j8VA=PfZ)SNygY
zU&s|KnbBxnjo?6=?xVfA5|le<;I^^4?D<Jd?xjw5Us9Zui&FQQ{Iu&;H>GZZw9iI2
z=muOez;*gBn0(*Of)wQYX+bVuKrjRyDEWxAxW$KXCIQ!!*S}Ugb`eC=tbqg=(p<Uy
zc9>4p?!@B_TR)nnGuc|?Y!zrDVyle=Srq*wzz);Rw=)#n^TIy{`5zSN=H3Gy^KF}!
zpFm1O71^EisO|V%aJc9NG)_9f8b9`RH5v=5pECuj^{6>HFF{I^mneCu^tdJ}2Bkb}
z5t>Y${U#!A6AND>#^C*q?^r(9O9<yMwry{X1#ohateuj;Xp+U3H(KE2&E|$4w@)7f
zAFto_hd}HemhCtDurO<Oxd0Tm>FAcr)9vrGunZ#h?VN~b6H<098?Rg?N@pA3%+eNs
zu7r*{t~q(9bvV1K(KdJ55k_TKT-5moK#v4zMj58SNQ55LbRK+sEz3^`S3$&vAZ`8e
znAk_qexLj4qFTZN;)H$$4AOe<Uaf2%M9l8+1iIT{g16$AYBvwZ>BJn}*y}esfF#_Q
znqvgSKCbfkL;Y+-d4HaUxZ4yF%Nz`vo7cISfqV<@WU18{Z(VNjS8dTPLsdsO;|C2O
zH0x;)EyxGS_V&dW^Ea<mx)T*nq1PIb8<798)vh~!np}lc;oK9w4ahglO}ljuP6Wre
zahgJV{c+Srk7K1*qP2JAIE*s-`W5)46I5BrHL)qeuQuVF;|x(G!GOf7^HJUVaWGe4
zaVY<)|CMm()yD<}TXZIQbto;m`U-Us@H06Gb~zOm_h(}#<{&ru&rd6j;InwSsw0gs
zI`qzxMp>h@?JRK%#pfO;wcD?myijGIViqGwRnK>$If`;<L>vOUt4cX8&o;@$+U8ty
zJJ~XKO$s=lz;Ul7v+2Qy!7$ZKaM`$SgW@NcYX}wT<}!n9JYRjOl7}x)Y((&v-De;s
zB>_Nv-lj+lWXXIpf4sYplS;M+05MVBTGJ&)vu0KHT3U=2=XZ=UfbmVhyj~b+o^vy#
zeH^nvo=jn)OU^SXc4S&FCP^Y;++i;*%)xmvB3NtvWAm@Uv^;J3)FF_C`KBiNkG}Aq
zBanu|?@-qNzS2K4l;f55nK{2FXqY^eQX0uPX3v;)XSi}mw=hmy1dYoA&Ke4zLLY6?
zRBukhCyS0TiN~xW6^G}*lS%-c2FokqxXP`BmWMxEDe*wgqz)UD=k;R)HUpk)Pvy;w
zli1{xkO3JM@c2>4b+_CIZ9EN^)pPxgU)0|PTGFPgR0Aq`DLkqlRwHBLbgn)efxZK-
zvU@&sMeQiD_PR-b<r1k2WoAhnbLWhN@!Lz_!M-ly;ni)C2q(T`0X7nc{H~>VF)usx
zTjFOnA$NM*5AsDiI_8B1Mbt8DNAEPZD+OnofRFJ^Z>c^eCyLx>Vl@)yIrxjFU>?A^
zKB@#aBs~fj`v3%p-tclAx!)bW0HoHEpPN9Ujcn2FObU=Hc3oj3U)o-9|Jmjqh=Hl1
z<-i>#^jUZlx%q;^1HZ?wBz#llpJlI|T9q|+ksABpYW8_hC+CVGHTOGdfSt7il;Q=q
zFE3EyEc0j;^4x4nbYIvtw8zp8cOXBtdhjI=`CJSCYRBkrs@8ii5AQ#?@Fy>Ar4Ltq
zDHrI<ei@?GecZ+<;^f}#H}~7Hg+YGY)vlQIlfQ|w;E!ENEygFD122O?&05DxZYb>n
zPh(T68<h9|IWGmk;@WTOK;U2xAYPkM%m9aZC2vFwrJDYm80!YZxl0}`2H&3d@&?@b
zpjRI;7(~vgO;-@3xzp10kRo`Ly#SuQp8RS<5kGQb4`du#%Kw`88ND{4`EAU@-jF53
zKK&IE!B*d^e3IH;XT}u>&Z}lY<A=IgAY_R*E+X<VCY7EkOkuph+EA3=Or1!=<aAnK
z^MH=Cj6&v*)_d}#q7Ps^mg3pXK(2g9Mt|``R8{xQ=&>e@;>$*{_91VTI~w#VFBAp-
zJQKyXn*K#-PEK=ONQ~u%Fe?2rJM{F27hu$1+v#C>1EX}A1@Z3pg5P_9bhPV{6{jwG
zS=VR?87%C?!)l_(vPf-BgY{2&t1sOILN!{HZD)l=JZ8&&Yzwk<l61UDFoVp1P%?sX
zN}Yb`Z^RNCL<WK2E0!LWD)^-+3U-iAm);d?4Zn9)ThiXFM~7tyfe_r&QdKf!;5!Nl
zUk}8yb%Azft14$oyT~s-{&MHL%(bLeA+lS91k~wdikB392?UyQ^YhIp#@m;o|5~BI
zLN%=p7O6S)cGAEPFSaiuBsm)_229<HDO!H`YXl#X28K0lzm4(tSSPtq-D?O-Fuiqr
zLv8N`i+Zr5{+>@vj_But*7>t58kXcgvpgKFf3{;vxesF&2S2KoHLvUzNNr}uknT>A
zxGWTyT$6L~Fka=OFuXB9eeLa1iAb8%04BK3ilQy_S-U<lZ{%0e_e3~}Z^Fsg=wj%f
zd;&WH&5Ll+qVo}#&@a5W7eR%mv6emxFR=9kN<?pSkE_xGPrH%!Ev}5;WK??vy?V(B
z+ejD*@2GBuaQ-zZRo&GGq+7^m-cs6Jb6_#iR^Cl{UWY!WlpAop^AdEaPzJqmME+)C
zC&zaqamH=nxZm*5kLXv6Bgd*e9iF$_#8~?1I;Q7dAHVlxhFT%*tS%JQBr12Euk($^
zb0_&-$;#;FDcX1I%Ce><C<QHprS8{K#nzu{`KVoQ`+{&YT&|&f#nlJq+X~`?SjZ@%
z5HXq*CKqQ0Zfac2J(pl%H`2@uxc$Mw{fz5`VnF3jNukB}!P%R++e$Zj!*8E4zA3&z
z$VU{bI{as(ITS=|Ns!ACsvCLLBC2hB;;Mvg=39MEb!!VBOKwJ0n%<lRH#Ym`$<Ti`
zA607xwiHzl2B-q6_Q4aB_%TX+DI6sy%(40;5%2Uvz5FWLbuM=CsU&;SF1|VX>l8cl
ziE?+duLobCf+-dHd?JP}`6$Qh&(KgQNA}^#Po`NVrW%b=dAcpUDwUo}Aq~+XUhKgN
z&ZQ$?t^MbK+`McQ8`1VL@~-VuYw1HZ{7JCb7{%oH0WpI4bJBqZ3aQ+JLCv(%Mz!DL
zb>Gg5e97h3w=mGIx4p(#8sm8sTGvZ$d1KQbvzKwO1yUTpe+hnH)E3|$FCh4o*p`dZ
zYAiMQJx3<z0{_;)-9h0~e?8uvUipqzVe>xu8&!QKzVXuUFCxwj2XK@Zs1@L&d7-9{
z$?%RGW6AM8vwk*|TgTC#l8;b$u?IG-8}F~JhMTgI#x%ENdKUKU=bgrqs`+7JT&IiF
zUTYuD_FgY~H*Fg|t7f5U{hLPm*Ifl_Trv%>*qs_1<q+3u?s3-xHiJkv_GxN?j6cRB
z=0?I?A3<7$RmZhUxX=<QdvmQ&?`l)t&uFT%4MC&3^Y>`^E~ul)T-S}w%_>&<-lN1f
zEw}>Ta|e6qeR-E}Xl$=9aQ1K{o-?oj#nQi{{qOp<J%(KKjihaV-6CF{>JLYT@t_}g
z<dRIZA_p?$O?P7doEEcRZcgp0?q#Zx=LQuO!xztHVn}zGyyo3K$Xl+=8PJIZfxG%-
zZDDtGzpLOfp}YY&CH)&h%jyd*x!hS|%JrZgPAkpqZ)e&+Ib$d!VqZmO-!JAQMypKj
z_^42E{h+w-65su7aCw<(pe#*$pwj-UCA&*5%(D3b#n#u+Xy(8YPNX*NF2BLuTLR->
zl0uYc^9ZKzMG~>%r_K7uq1dwA*On+$N%;&!OBqvGKr7S`o^7A|D%yTF{oBpf)VJ}m
zanGDw%q-^;wiFy*EX|%9#^$8;*8N$zQo6|d70Yv}UX#MPrg-E!Q-}j|$*%hyA^P^b
zBH(p|feq)A_fCQwYqkT*$_J`?oOcz@=HBWVy_u3Q-g^GaNWRYM%UKGmk7DzTha+Qu
zF2az+g{01A!dFxK%apr3)xDVF0LM`F)6)p-2eKmSL1ISN+as=9yl5-;Fi;(JO6aqV
ziGmZt2cxo7N7=-*pL`ZNn2~8_$e+wrQXLJ}=suZOj*W0yzEN)TQq^Pof+76|4>)ds
zyVhI{R?{FSH1n2w+cz5lhP`oDj=*wt)0;O|PdwDlM@Gn>UEN$QbP816t89x!INa%u
zT|)Wl{@6%vWkPTDy7VS9QlV+$Id)E57YjZ;w(S08S!jFmx=Mdn^vr<_!j*WTI(nI3
z^opayz}qO-WYXltb*&HGFAOG{HAu%xN-t)QW!AMte|F1hNft=(J$vqXD_>8>2<I(C
zZ-(&|`@`}eJo4LToLp;n3Pi6P6>RCjcM0Ere?55Z#U)+D5qS@waHn@aCL8zZPe|)4
z`ekx0Pf6)Xu-o17XZAW<bG<@8K5)IgIF2GNMH&5maX*rkjZ7O(H_vN+5e=7aernLk
zIpujzJLb88)oj_-Vz;1zIJo}!-11O8*LTLJcZpY7@Y^cctOhwUy&n)%Ztiq3KF)6m
z!X^J0=*{EX5YV@jC($GJ%hc|@YuO+z--A`6nVK+t*;yeMtNhl}*J{Ls#2_VCps*@p
z!*Ghm;LFrt;9Rh#um5t&CZGM0RvdBAnm|cAdHAo_!ewlMR0<9`M4^T<Pf;C~Wm*2G
z8w<l&SXZWx^A3Mgw(#U2-VD2&%FLI%^yk=Yg`IAyT@UOE6v)*9bvsx=X%jJ}d!pq`
zT*zt9Y0UB69l?*PhuqBytM}5?&$nJITDD1?edi}{3+A(3?PFj3(%R$J&7u5tN8?#p
z?XE?&OERZ6JnMS+x~>*YVYsc5MgA6>RZJ!&K35tjXxEBDPlzbiRke5?CUNq)laP!*
zmvsqyt1*~N`}QU2<HRtXX4unORkC+0us^pL-+~cp=TlwTt~PkTX7UG?NnLmJmv5v5
z!fES~y+wPBlPe>VT<On;QfVn}qEcSl%<j;awz|x9$mdi`t&jE=KmQtxTAG_n#utrc
zBoSSETOuB^@RUjPp$G4^anl<mtPeD;rl2Za%hQZbQwP*m-Or>yn9n9xO$x5TL}spi
z>N*t3)%y3RqKU1}502F8rA~D=ZP&-o4o>DOC{MO9Rm6KZ>&HP_Ji2ceAligs>*8+V
z+uQs@Zv_m5Uq9X!epB<$t_1$6AEw~&n@*mUl&O!pC3&K&?oLx}2fjYS+GKed_kKTD
zGdOten!HXjrZ1YXqyC?>JiG7)8CVTB%wNH@|9Ln6x>cBy7CK3hq6N(imA?F+*TMWf
z=1%%x?xc_4XDHXdzoMANz<<_Pga#;-5y?o#uzz0U-+cq{rvz#2G*qH=`Udj9FY?ci
zwr=JC8*8(MVv@o?Mbv*@OB1`75z}(W*6~sN=SBYMMX(DmVpj7-4%WWhe>Ermen~r$
zaLz!xkwWRbe_rI@CrHfu-^0BBJ@S+_-T&vZMWVrFi)>CX>izx0{`JZU{+RcF4DUz(
tXJz{9vNKe`WoP(2B;oyk-@gpj6`?WRXP(C7*iR7fOH1vpYB|8_{2$1jOnm?V

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/histogram_example_0.png b/docs/0.10.3/html/_static/images/histogram_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..9b8301363678d43fb36f795ec59f86c18897b992
GIT binary patch
literal 14056
zcmeHu1yohr+V%ntq9Sq(z#vpGkTU326hx%EEpk)RY|<734oG-tq+4>+pr{B)m&7K8
zO-Oft@ATYr?>+ZkZ;bo>WBmUZ{~6<ey4IR|t-0oW-Y4Get)w7Bv-8kS48v$-uUt~W
zFmf*pBkS9~4gQ6%vHL6h60*OnWv^;&Z0~f#)(DfoVQ*t$ZEs<A^N6F7t(}>*)p>4S
z?sJ?+OzrJ$?1XuEEdP80x3#Sa56ArhEf{2n%@u7s45Ph){wGV6NHD`Nes$SP7u1}?
zCWx-~YD3YRGbh_+mG(v-WjJzx^Ai*KrGW=JQPRh36NU6uVl`AQb>jW$uW;<8Q~BCr
z%Eh3odhA#{m#w7sJ!VPMT|fDr=q68++;i!!(lzpRub+<X;_oPv(0k5gcl4L4T~%uv
zsk!a8Wpk6inw+l~zEl61nWZL+lMKVk50v)ohTFsHUt{DLcHj~Db_~0IVCNAG^SW`$
z3l2Pr{%;TH@I9`GJ{jSBF<it+!^Y;#z~EqDa4=~?3u~|tahg=q(Fs{y7*7bbDwHJ_
zIyBRIE=w^9+kfh6Y}mG}6=dWh@{>);35Br4))Y<L>ip<fM|Og(on5XSNx`xs>vHc(
zol`LrEtcLzK`R<XE3vLLSn1ndewRYsz#u)?058kHt=Eue+0|0!>1i!<i9?#~QcCWv
z%H1C-E5{!)7&K&fZs25_;^czS2@fAXPI>dDp=JkJ-zptF{b_D)g}Zm})@3S+uUw+o
zwyObs#86GJ>sclpksfmClwACR`O3=5XoAE>k{#!%Q&&{uuPG}l`}wd)On$J(8bo*O
z*ug!d=#O9gmgKRqItsUCaP?u{J@O|SxcUgO!i~i)y1jb`&WT%mIU}ngE9=dmLMB<0
z$tg!iN4Jxjdd_iwj_rQQ933Mgqo+@wCZG2(`ZiZDv1HGNnJQ<LZ5Aqo2}bYOcfwg@
zr;gChBRXl%7<j6Uvs(|+?%Zh$@73}{C5vZjON&~^gkxN6th31O-%ji6yDr4&BRm+)
zt^fVB3ob4NAAOio8XA;Hq{zF&(@Tz6AO7;?%cJkT_c?s5sjg;|g_pMopKDW8U48Y%
z!Sm9jy71<$joz(07WZ{+w*8!@VPTQFn@Kn}Ir(((%tRMK#G1;h?Hf$&Apxr}biiS}
zEy=pKw8!TGKYIT0yHw0d^71c&IJE~D?F1R|6S?jCSy(bgMof9)DZGZ0l9C!9?AWKK
zrWPyE>!#{hMC|fwcr;CaMkj4~+4%*Fgu%gs2Zdc`WAXDN(GpuL^}_i1L<9E)b?ZtB
zFXNTg439Xc9v7Lxk1v{kJ#R9mx4cp*v6&g{AI;SlEZLB(UuZ9zZBpMhJ5=Ma_)VLJ
zQBY}axK>p~#h(yECYk-5QAkCXU}ZV&xVa*2r-Z>)*;Qfk{g)KkPZ)M)7v;~ed(P~a
zge_9>+wtEHTuUkW+1}DJO?+$JF4wx(KwMnB$A_YC+b!*&x=4wPx^R)2c7nr38F!@s
zrrF$mOD~1XE7EgQNMeDqFB#TNdb)lQUgRTR|MIq|r1Yf&?dH_i*A^#^yXOubJ$lqY
zfuc`ZRb4#}riqmK8lBZ=9^(2OmrFTa-E|DkU_3&`o5)xCuzH3@QdNKIY`TN{83bmv
z(*OLvfA~OuIFKKQm2PdWp?50mG|9=r!jh(6w3ytrfB$~dPrn?^>aZAVjCl;(lemWx
z>o%Vm_;5(jChFqFi~INPJyt|acj|Q~G+Oq!&B-rJ5_K<JxNzvqbuWI4FMZKDSOc#W
zyH{&#>mgp#U$U~ZLwUD8`LP}naZHtdaVXB;f3JL`xW2FWY9ha7=T{#=tdC#6$g$O~
zUMyi?;O0bUu3Yb0&yxMt#u9F8b7P^7hm*4fRxh7X_5O*DY?-R6s;deLZKdvOqG62K
zp<#F(Lv14SGmRm9xPY**?!GXDP~+_xPC`e-m;3I+(}nR{b$^MiOiE5xF*Qv*&A|a%
zwW<3H*7+((RNDUA7iFH}>3i|lepMmm!5&O3EYulqOSAJKx{$)3zIdUoprG(_GIH>+
zSBlx>op&6OWSpl@tK7W#x<(5Y8SLibJycjoY<#>lhi1B(gG25&N7oWN!BR3)n)Q;I
zsG*^ur%#^P9DMfViITc{Ah$trVqagMaF-zCZXw3qB)qzME1!gwnOTxTq`3RU-J_!^
zq;lhI7ZK@{kC8X#9z1-Q1k0D%v%AD~soIJ#4*RfhWjHj~xc1NjY|fqn8m8XrnwrDK
zo<7zB+pJ4UG3)88WW~(d+S(z2$qv?rIy%WcC2J!CA9%W7Ri6<T_ji>zd!2c6SLkuU
z{BZHjWv|LDzsc5=;Hy`!s%dK{0XTCUKYkhQnKwTfaQyYC&!0b6yL|a!jTZcXl`tl@
zc2XAh?o~xar*utqb#`Il!YW^v)p;}h;^l_}ELCb()IK{5@oRVV9Gh@8@xJLf|3KJb
zYGOh#ZLjB}T2*yNwXWdW*3sq!u}xb0>(`?I0FKHY61Gotoa|0wFmzMqDO<M<M^AW+
zmG%1*_K<4Z8Tx1p*u5N!O6rXE%+AgpTEF&!t;2$!Q0zdzmoCPKi051LxP}Jzx3_Z^
z*j!KF=lRG|1~zhyZr)a%6@f!S!mv3((aGnI8--2G9XYaMoBn&dS;W8TN!WgU0<+MP
zc}oT`P9DM1oq-3Nv%zIo{5>}3BFE!`4VpgxdVb*(tFI}541Vy1K#s=--swFVMyUGq
zso~YxTP<n20^t&#1{@lxN*6BNoy$^xc|u+V@Hrqb@VIOUzh#K@^8?W<b0pliFPS<8
zwsDRVopHzIf}HIHu=0nxJNp1Nc+Fc*kyZl<=TuZw0zyMmva-$v1_cRQPxX`(wPhG)
z96WD4@`1rntvy{o*M3yx`0?Wfth=%N+Nzf)`OKQw0s{ltd3n_+sCKu+%ZJ+6i!EJQ
z9h-A1Ej2V$0$jNOx7N_CD3NwD(oIFob+M&07uSkv>I6B~(jP=FX#4dFpQF&*Rga-t
zUqAVEW}EnmFf(I1pHnhQJ4YrcDJdO3e)MI@m>H}jC>_I0#XYDG{9^?D1K|8MwEq7C
ze^+h(G9{*$G&F)H^9OgMqSN2skI?SzeX7I669NL7P=vVUl$3sXyqBW9RT(3T+5;O^
z-P}AGh*5lTv8emXQ1Br!d`@yo%3&fm8`~uy9CbrqGH)?o-GynArY11VhP5mIPD~Bn
z$}0U`MTNSaUh0&`QW1?6X>c&+)2B~CK2%uy!}DI44GkdWaakr2M+^I&htv%A<7tG`
z!ooUBy`E)@Q@vB(&R7E*lugsuot-)e(kmX*Y64;(4r@=*<l)lIyJlUskr%{cm=4E}
zv$2gtZmpY?%rWhLoSdAjM~|7x7E|uR<O4!NlHJ!9NAJ^$o7zVZt%8YGPU$Dv*b)^Z
z#qsboeAYe1!gJYKS-eh@dIS=s*CQY)SjZ7BE_p!d<{&QJmRwvru9N@B5y|^hv~B$r
zkH<^ISXrfD8`KRg&kRmJ*@e*z>^g$+zRTj=7+@%CfJ&jJq!cwtEHa#PZ)s^Ug^g7>
zRk}7-LNv~<GS21`IF0ch1YU5+4{nZ*Lt|uu(5nHp8<;4!>`odQbs)cNW=*lOV@+|-
zva+(+Wa~xeo=+CfDJ+aMN+Ci;%~Kq8tI}t*QHEuq(*r9ni^0exS?PHUIAsqB*~Zo^
z<1$L(BiFy4^p9<7QdwE`*zgVk7Gplvl60DfNAvM+CSLmyC19?}z_cQs(qJ!u)=RQ-
z))bC~-MdE~yZ|r6y#L)pu7K@Wh%e7w;03=^ega+jw{I37-oHNuG<IfYrW4>SW{!bN
zC)S_@&n_sa)!5h=a`x6EZvDcq>4I>fsTaUbvU*BDL`3@M&(|h;N_6jUqXF#kSBMbR
zo?3?qFl|fKuKxVF<t_!){8&ncd26ydezxi)5h@>sy|9rZ(|dFMZoEQxGC)uY+;MeP
zm2#2eM2<yA7M{dFPj9|F-M`xC>k<3v)qxkxVmkXyDin`tOTopwhS}78z{JryeE<G^
z##BqYrnk5E>C>l^okAZx_=%2zL4>;3B+@;e<}g36v!5DVldqV~LtzJXrnRNz)Ujjl
zj6{zeyU60Xey5~seMCm02`b7$_>`MWkkP2&)@m?<Zh=+$Hx>QARP@`V&)ph@G1@CR
zdday@oodLg7f+Gc7**^naV7NN$GOrB%SwA#WXq0maL7eRN7o$}7Vf<74YaY-$2gK~
z7d7?E$jC^zJ-v?{r%&%ccu;$aAJNYWT8VG#+OcF5+Yo<111_|vDi-J|Z#{kfd{<mT
zf=GKxa`GwkqS~W7OfU)x3O;zlLnM+&r8y247#Yb^L^PP<H*}l19PUpdkxnM{r%ZNP
z@IQR;AfFRGw4>Dud;a{qJ@EfiAZIEb(KNrl{7g+>KMf{bE_qFA6j9`Rl+?V=)7OzG
zn(nU%5p&J^_~I~$^B#;~dJt&Yz7y9Pl2j9TP3jmyyK(UIYaAA^viCUqHB=&CbG})z
zrm|8-QDP$p2@-{HVYBZ1JF64cp5wsNV1x&{JEPd*;^Nr3xYByMN>`*tH#aw7VW=4!
z#}`47z%cpu)?^faS&aXy`tyHL%Ko1kN|F`ez`l~nDG@MjCoQd}t!>tBW>M$XiGM(q
z?;@&<5cGXpnr<LKjb&FJI}eYdp~p&`v@dho*x1-M0{ai??<+)qe~jo0R&xW-c*c5M
zr&<SnCAein1gs-~FU>c}@vxsfnegE}R1gHE=@*QQ;@FY^t!V1l|Hy20cn@Q|bfA`^
zykU*<xv$#Ou!!qztSwpF7=Y3|cI=qmNBE&;U|=xi_PFBc<BER0jO1in#p{?U_Wd#y
zRaGcs;%RyXO=(M^fq`*IneJs`nrK_2^0G#lwl6j=&J65=&Mc#6g+PWzx<7roqOPWv
z{~UgtI(IIsX9b8@a%!qQccm|jldct(NQ<EPhIUX>Q&SG`V9TCjZDNsA*%-fLkv@oc
z?prP{E?Hd@3w4AJi=8`m+|kCOj?Wx~dA<aNQX^F>n$YW^3*_0!!-ofm(%ZLh{bOZc
zo=B1l=B}=;_Ggn1<(Frbe%`RYGRNomO$%;b1;DJy|F~Rn9t$=-B}lOyd!beAoCyVz
z57-juYoTEE6b&I#Ku{3e>F0uoUw(-~uvz7Q9El)}41+W%Qv9nQ_F&U&b@0@`Bl$hy
zTgc^rGNpTD55~*#Zz<EiaD~5-tpDnO6^B<xN5@ldZ)Knm;NF0J;v-Fp6me1jkq%16
zzt*@JN?kfYZ9WHblMeMw`G{!eng=#DHwV6a83TfyODE@wtgNiC^K=x@hw;y4ZYx=n
z1tey0TyP6xt*9dUFp0$LS`~a?x&uQrY$xn5r=+Ggh0+!x>XO9<i%$mRS$mdI4KJ=O
zRd_C#OE><!NnPTbH%eq=Wd5i|I9&q3Em!AV<Lavk=1IxV*Mgd0*qfA*v3K7-SQlzj
z{8PnqKHnURV1d!?*%Q6Fu{Pde5~(gPFMr>6&_+;AU41AEKE1D#uLz3}ch}+L<NGed
zd_ji6@+j$YTkJ5=DZ%HOo15p{sMuB;A*MS=s&Dt)TJjWF76kbOb>4v+YGv&Un2GCb
z8E(}1d3hQ@$aJ!9dq3LElnh#NBq<?61@z(luG_b7CuU_e6);M8bpKv1Jhz?U<h<tL
z;gOt}Xmc<lF;NN5D(Sj(`7%3@75MkMOmX+s#NuMTU>-w_>({S`TUzjkTJY=I4I&FK
z<DZlX;9Bj#bkucq#~DTJM}B$z`t=x>Cp@qX3!#`Y3@W*%fy-r2sC*86<z!-uUv4F*
zr#pIZI0I>^{`ASF&huMlrTy^dgJ`V-+h_vgZsA*Y{b@eF*56;7-ZtZR4|WJUj0FsT
z{xxQH*7n24kLFNg>UbW(I<IbD8c#pS#FPdjn0<VH5ZMET_M@-On&U^kPe$0tFv8vN
zzT=`)@`rs27idgbe%B80(txZEr#}YnAh~Zww;ay<u{U{#zP!t-NPcT-YoknfADAu)
z@YmXyXt=1sHjHw5q%kHL7Vr7D{Wc@u5-`(H0<;GWZq<oQ32K7D5Q_i@5BAjT+#KD$
zeS;58;Y!mTn_wgOvw`aY)il5Rz|TKN!K$l`l<1{yL?iEA$Ki0tWdT*%;Uj^D4G&#G
z*U8pJ-V*_pC;$#HRxYLIK`jVs5-<n(SLtB~i*I&h88Op<P2&~R&*^1Hs%t%8FB+4d
zF9;Y>RasdXT7ZVX7)E&pc0oZw0e-pvamlZUMR9$0VJe5k&T;hU+fZ%zhd#18^5u~j
zU-J)7>3TlHg1~5PN-5n&n~rm7XI+{qS&G=Un=#SL3k&w9rste?Mg=-QG8^-lZ<GPs
zB9ILbuHI;`;da<crXpdKHZ?(9J)hw(80}2S>VEj0bG+`nSB&%v^ZB%%+E4*kHgLi)
zouF*YU}e3R4pkvg!#M!o$Z`~BKnI^>W88ZAZ+do=t<+lE_rIg`rGz_^1X^l>d9Dw#
z%!!o4X_lYVsjq{3dhgynQ9pPg7;~Q+^)i*j^4%JmAfu$z)N2S&zjb7bG4Fz-Tou}w
zl$4ad)%3!GdWJ#C{O9xart>3>%(TBxWJbwi2+Vmo&FIEbZ#yE_U=;zuH>(Zd1ASy=
z;{jS5+$D9BVi?@d&yVZXek`PJE0p5HhY!LweO_!yhGiayM4jJMN|BYncnuT{C~gz0
zuc!(s=G+S*05dQ&!p32DbL{~O`dKy>A?l(+E501HbLUR`8ZN>Wf3)_LW2DW7ssjPa
zUJ}lcd$m6Y|Mb?!=LN$PfQ8|eDp-D_U>W85GsE?Zr25EqKqUv*W8p$}(x4u|?F;l+
zsWHT#XT@@aGcz**aht@Jx?{lWZs@uL@_%kuAF#CrDA`G%e(DaxMJd4LOMfEA<oDCj
z#f612!t+%1+nA0v#UUM$XWg5ARO(Sn(ThKkTd-kVPIF^YLe$s6@gOHBAG@}F`*tPx
zvy2p(Bo53S9suc@?*$5Io*Fd+cMEXjc08e~y1J>mz)p;A4_4|yz3ke%76I--e7(e0
zx67dSzLUJSKJFsAFA)uPP+^vD-`uFM2Ts4uy8hEACEyQsLLTe+RLx{({NNencuHcY
zJh#?Rp|Q8mVH<_=Hr88K23l}3*9&Xt3=9Z31qA<XmnDL`P^x`oXTq~FX&D*Z(j*ZN
zOM8B%l10uRGJ=@*?=NLMq`<6;z@(|^C}NfINsNuX1fo=pU_}h@^NR*4F~Z}y@{G-_
z@%7~~a7a)D0hQbgrl_;nC3|y`Q09VTz@m0<!5ZfP+1Qn5se0wg6I8T_;5z!pf)Tzj
z-mWMlBvd$_UR2CThlyH)x5CZfsGz7A%!UXzNN-Tmr@6QsdOTKUjW)(K%bH+PTGI7J
zkmC%uY*51RcpGLtW0+&=2TEwn_H7f#MJcI;?8uF4us@?P@-t0fgBodT+$WHRhYM5d
z!-Q0!>{;}yLA+23)79$$!|)5<fRzt<#o~1~*cv%(y|7B~JX^L8%gV}tkPp564Tws?
z_ih9e^ibF|XiUD<2|jc-cj*$*Dblz;A`NDswE$e(XGperu2*_GA3X$T=-k^v)(<Eh
zIUqqrfXrc<Z?={PeFMY8(?UWHiGgY{@Yw-pI?bR`dE-Vjv+K9BMz?PZmQ4(ULl7Iw
zW@KW*0jjI!EMQ3=_ohEG2FyW@2)iz(f{(^olhu-KqUbQv@V09O2I@23+$wE~mZBow
zsbuP@{tjf*3yyFEbEf~1`Tnn%%-`Gf|H&1DdE~F)c>(gFBC(5$8;Cf5Gi`DN|2Dwa
z*Vq5$OClXYt?$D2Pvqy<Uz4C3;2NSX046qp;yO&6gxa&Zkl~qDG+9`~bQUgX_z4si
zyzGXSBvn3_+1udIYQm~AZ%+>gpQ5dgA6N)}B>FM3GKh{{mXl9l3cXI4I+7Iwi+cL(
zS>UTz%M0PFtEbPNRfdW|W3>cOcuG`M58^1Zra|zG)z#Gtev^Z>++GQaks46izVmR_
zKk;yW7PslUC_X8ft>%#T2un@neE8^*aPY{;i185M>6yUFGD^42br-Sq=?eT%pyqyh
z`nInV=gyr2_jgnef{UJe>~LG1+*`vv7qqlqt*@`EDJ%D%Gf-BJ27gF+PGVzTl}QY*
z22{Y#r?sukgYILmAr&oi3!!XdLbwaO*ba-l;g2wbXAH9Iv2EM7nU6F?SJ&4&p|ejz
z!9?cmdQXWf4vd%6?Cf{Ad$%^1_`vl9V3=;>hJr$kTRbQ!3(m6U)vHej1_pQ`S3}Gb
zQibm%@~_MnNGxIjXp1a75lpLuBhr~436=(gPWEFh?6tq1mq8}{ix;f`uHlBeK)eQK
z@JI;5O0;1G?;;>JCx;hAZL2HFF=D!gVRv$%q$T}cvn~AkF**6K6IG0N02Q?SJA*9+
zb|x#!%chWjXcFV2q9mmr?eeQNR`q2T0}HroK!~hQ2Q1X6J^x;=((+E0ENXPUgbBl}
zZbOA?1Zz4(R02o`;xr&^j?22Q&NouAxJ7}J1n(dz?k0ITA3TuPVTdf*&z@~G;$&x+
z1*6>B=I~#noq3Y8<TIE+<l2`o#i&zLQ>y|Hi_U7nj<i7}@$#ih`Oo1;Vsi3T1|9=7
z8ylN&OAy6q%`0C1sXIL<M-8%!#t+X7okgyu&@*-`uz0$avmXBi5^IAXKy>gpP%IMo
zIwq#%)%JXTSmkYS_Nh(3YY#7da28QWQTt1Dz>ez4C28s8*RS6hrM`ZB5ghJ?h>e$Q
zp|vMMYlpqzc6WL|Rj#xuDQ2ROFDH0G`3D9HY*7CrsNvg$t`e}&#=g62z-*!*o`OXP
zhWR-j@YMnE1Ls@22;kw{)<HDsnO-lxb`4Ow1?92G<v|$$Dvj3fsl4#t4Ov8O`rh8>
z0~bbC1&=S>M$4QkWH)@pAGBqdk&=I*(^NW?8x9cqh=ahpKqfvn8AactcStkuff^TJ
zq)pRf(3|0g;!D@XZ)R^%kqG<W2>$+`^x^*@VB1V`WE8&!@Rfru10@hK0k2+t8F53~
z-}j$8n&6<yhY2d{=2@VOAJ!Qke%>@(@Xov6rOzJ}>ngA?U|t~L6@WsgIBkw+l%;R2
zW^AcIQjTAmOoN_-WRQj+116t<_vIzcTZ9>ux@iMfyL#=~`l^DvI{<qkXtWc=O31aM
zA=gqtzPgQ1ML!A!YXFM8aP8m7o&Uzv1l*D@^!-!Ig(JIPFQiDnTPVcTZg|xA*;Rs9
zr0b**aw$MggR)n;KlfK?KKV8PPP2UMX*YG`@6~8b*XHI@Svv|}mwH?kAv3bDPp>t8
zS!;~5(u3;;`PO!UFpUDeJ2p${!(lk`rfUMqQc>@Q0wiF~fT-Zmws%7U1VI28qye!%
zv?%>g$cMy&>wF5FRsZ?*xq4h(n2=89&4)K{-VBSRD~4FpVXju7h;=UvcBl`Ms2lHo
z3Kw>`YB&5@8SJK;w{GR$8I&e5NL`ha8ya6*sQUQf8N)aP|M<SURC<#q&!1OCvZQ+t
z;x9CRi|lu6RvTkvhzoDvV7|1$7X2CcgXptA_sQs8c67{xTS4^%e2$4PnK5rcp%u)|
z%-qpFRP>P@bEZJXQ>J<AY4CG7;M0nnrrM$|+z$u{h<$ldkw0G^XeHX^HJP_6MPD7j
z(tTj`7g|5`#<vl`pI5$pJJxPxSkZ{wi+})x44DCU?qt?X1+4uQ6L12tMZ}M%J@xTv
zgPM^6E}X!s;O@s#zzDdhfhdC2%G)<T+Kl9|-8LRzXf9-H)?<+D0{4hVmKUf?O;7@R
z_wJpq_uR~WTM3*WCE|A8K0c1)kWvW1=YNMs^rpUi(Ry*<>_zL6g&^<%VuKAm3f@}&
zVPU<;u6@m;zCa<VyN{m!goK2|ciT?$H``8jX%DDs2(FM1O;eZIVF5h_wbeVZ_InU6
zHF%YmOVTh2tHGwJ%Y=XkjPM#Og21Ra@?)H)41oRQs$IkKjREw$q+?;eA(Xyz=guL1
zi&ylJWsHrP%R@Th&kKR4!)ViGFl_u|O(I;Rp;sgUb&`Pg9z|_I@G9m(MdMMvN{Qaz
z*?+OBLfK8~BU*vMp}r&NcQFO>a+;G<t+&*@B$pafqJlxvkAaRbGc#N0(NI$A%PO_$
zzsRMR-$0Rs^{pbO@jvwC{yR4NFZx*i6Jq>-+feywm@%l06DOpBnLYLOZ3k=dQ25qx
zsCBZ_R1Zk=CNDAyWZyYmh6sKDI&IP*(AWDBXCDtY)Y3`>-DX}Lz>b1#p!$JfVX5HN
ze^1b9pq0nc4{8TWQ5?q9&<cZN&;jBDA$fvPO;D@I79{U2B}+XizyS0RhbnfN<Guaq
z=Mpg15&T<KK);Ue*WPZC{6BGeKfiv)IdC?hWdyX`7%@IE@yh7vDEBR}QFV$OEx#L<
zUu^`##=+6>hrX-i6GNycfo=42=Ka;+!J9Ah-nJ)K`^fsAR&;xfd9v^%n1wH&w}?od
zRgpE^(6_4YUE{EWXmGOf>$0&AM@9yiBc#ZaA(KEu{GDm|A6NR`(KwIloBwU_vI?I|
zY%UMBfrK9;o;Y%(96@l67JwfeGjmVh;B8}L9e*wOFWn48y<nvPJ$(>=ksdT4fgdS$
zoRzg=Xe$})G30ExkL&jO`_{MC$AjSt{U17D(Q970az#$M<mjusGJlt~&zt;pS)8aN
z0`;9q77m+D&eXo_92@u9Fc<3_5SNXR_y`v5qlXWx>gyGOdU6lK56H|?okBrv;6iw0
z`9tOTLu-w`1%anLTnzlqa*WcBFMcB9c8_>=84WcJjb+=d+`Pfilew+!Olz(9oDc5)
zqE63oi@}oQKZx0&3(csM4azH@APZJ}7n*zWs=2Jm68=4$0guz{{gXW*5}u`~+b)np
z6C|EK@`XhPFt08fH;M-Of;dd!)tL(k3gJy*LUs_5qywN@cIPYa*|X>O(APcd?2r2~
zoZcq|g8(o#HV!9fcb;xu)I4V$*<o033aeDnJS9V9F=fH@*&3URN0}RE%E5Nz3rMC^
z{4jnq+ebP5N3p@X8XBtkcMV^<q6s4U<Khha_kXIaOsG>aFqr(cycQ7;k;!~1FcmeO
zo%3PigqMkRyh0s)z~%u3f7!O{KokTA&POcg^y@c4M76ni+y?_NAb$mN?^KA6g?a9o
z6S@{Ai>CMs<#FyFx-sJ$B40v8m%8ns$TmXlDq)K2K*=M^)^g=)8=*7~8XRd3oRI`h
zJ?ofij9Ll7HEb<$b)uxA8t>}e%p0x^ZBOl8TYQwVv1X|qgq-Tc#8YsT10-~$+pKq&
zU5+=o7Nn#X?r&ok5h;?L^JNrz4OPLsB~clK5Bk^zWV1HM%X5XbxTiZrW(a~Gi0ZhU
zv$Hexar=xkT>=>6>c}`UFo-B!pOr%)HYhO~E7czXip!amg@TBUz|z8d>tzyUl|D>!
zN&~~=ow+Fyz}A2?;b6(E_AHeqtWA{}t}RVvIC<ba(44r-=g~v!R!a>}8Jab`$kps{
zF;@-LULh&z)#JXTzcI+Nh0>{3a8;~ja6zO<PXp)}Z9~QzP`Hs5Qe-<cb%<=t_<GJe
z=HP5|J<B|SvyDPa?tNQZ+Z^{bN1}bRJhC!?ymlY{TIg|MdE1F9oor+I7(3&-Ff&jn
z^+p!p|7$=a0QCu+kbDOTdOEcHQz7lfv#H97fa86<s<Y4mci+xqxq?LpvLuIt&wPCe
z9*fzLx%Q$2T=iz@Vkb@m7zXL0izE>ARQRwqS6y8^JZ60H3EgLqxadL)QVuAw)IF@y
zTJR3$9Ak}L2E0$EPPvgpdVKmFVccA1m#=$*Gg;RAsM@4x#lFT}s$Ht}ECUcqgRl^F
z|JwKfywm~1Xxmz^-^yRe?0SE&90z<P77WDTOmM9LRb1HpNbf&>gz)|<EID8C^=T>V
z$^xtJs0)RKUoe47tX{suP__`z*Q#Ve<Fbs50CfCHYpSZoz$Q;FEG&E*sf3fOx5l-!
zwBN@40+}tWq&63^Tn&^*A)~@$-5Et;(|vD|xl+uO(gA!cATlyT>hW$_f5f)Oq16So
ziWP@_cK3m`2%<T-{U*#3ByvO#3%eSgyE*&-O?4^Dh5#1P(1@#F?5qqirNPxUTTl@J
zki<cx0PTZZ`h{vB7h4u5y7-_5SyvXF$j!|S5qB?qM9b1MlEJ|{FG>ii7c*#V*_ikf
z6NDv|oRy_gwzV-82r(t_$P`$L%-7sD7AJ`u(Ao*s;V4wtHfWP+Az1g~NqK=J0-yO9
zE{jhKHLOkbq`_q4MV|hap+OD`>EOcGmx|`l`La61<Cz594n+ncJr1FKxF9HKEk#b&
z!1R)!NfJCF>xBj>S{IR!E<GU+mw_+Fx5;>w!S-(fbDD&|c=4V%7)(H?lsq@a4NG2q
z>x_$!HwX5$+IOF}nCSy+NMRYk_mG7)oQf=BV5ZujMR239tQuhmknfPhsibITXn=Q=
zXGQG1zT<&YPGH%6C{FD;X3YV?!R^VVXB_xos=#w=h7J%8S(FXHEGC47g=y$xz0QL)
zC7Y|`s5F9~Oj_UN3D2gx;NkMj&zel;k9LFQ>^DQHM>L1yVTZax!>_EITyvqrcn;8o
zl!#XI5f`85&n>E+SUGU5t;s{e2_I#Xg7<+Akk%L(T10|@yrP)cz-{IO%=SYx+jY2E
zX;tWn0bOAZ{kXGBOTl0O!_y>7toPHxUp2w_Bd{6-CnhEeZ#B0hD6&A0AfDaNRTPRl
zyt*J}x9JNAJ0V?oWBmD5G#G)_GIpUHl{|`!UC%k8gYwT|IgLkKVj5tfvYJ`|;TEsA
zkv1r-W*8*LWzN`Ps%Im)D`%Lrf?r$;{f(aYXv{ITCxGVN{WzwlOJ{Db>rlZUpG!=^
z+GJ5Kuy=R|g2Avv#pWBNU|c_FnL+moiDi4irTS>8$H+5AHw#b9FuUN8#)VSSw6q14
zV@u=U;X}WtzK<m+o6b`AqBUPjtBtGP!C?}fJ&3gBn$$DP`R87LOO9Ia+h7BN<(#UW
zZLEzR)ov4-g^WS0*WuS^D$@WCwIK5jf;&Ls(R$(?Us0R8LB36NuH%Hx_)A6cOj!0f
z2r+AC7Z!3MdJ#kCxIjFb3ejOoR8%>n{C3>Xm-EoB4!V3SAabfH*zAAIq657zZIE-g
zj>ESBG@t{9?&qJcPY{dR4;R_Ur<<S^gR|_+sal1$nlzwf<8P^0av%~*g)QfLiy^%O
z?l~1oi;j#BW2X4(2rI~U?I19q7r;oZ%}UK%SkIG|cahJdwCvX{2aEd6`o>0DF9aHG
z(7JgOtxpXojH&2*3?e$&v9YmQ5DH{MFNq10knMZWiiFfRZ_ePLCieI^%BL?*ErHHA
zA==h(wRKsSS-L||h@_-7ykTOY^UP~qR4Sc^_MYt31JLKJSslB4{^t89!d(EGI`H+0
zHcJB0xC9`bxt_?_URV#=Q1JpZ2Xz4v&k_a;{RN{?6Utni-Wfh#T~zn4nd86temiN?
zaOUG-Yb_Kw&>c8nib{)4nMaAqeZz$Dj$UvQb)o+w8>m{^lPBB9OV=i|0b?dsrrSsT
zWSBD%5ObV4(||%Z2Z%RBY9ftt)6gEN#$|DtQd2f$agL+dJ`G%8U0{l1#3DlO?W(=j
zGUj=Jow&{%GY#-4Q=_7ejOTS(Wk=x0*lYT2oJBhM3OdVr0R`HCRG`nUG0xUTjqMK8
zeHRF%>C99O#~qeHt9YOJMSl0*P*dPP{IURuEXmL_&<g^MkR@-sZr!|@W7>GkcZkgE
z@WC?5UFF+RL6;XGew{dg*+`)<=prz~VkR=o>HxGsM%6C2mu<#@4-H;Dh|O!Lr7RFf
z^qk|m4k0yy`K^`6tt9A=Ndk3>CxttO5h8&U(2C9fg48+iq=j!CswgK-aN2?C{Dkgj
zh9t424T}^y03QRkT;|exBMIPcX|oAI-$Dh;rV@+$ydTgpakNi`?S`MTnJs?nScUIb
zM8h;_Qtf7JfCLG}-%0vpUi2RztM7acUsyok44tURTY$}zf_f3*?JU%7RVjMB26=VW
zKf--cd!wJ$vjOU=J;Ykc;QB&$riPwgSZqe!5pqf0w;+=(KZZN?u)_nA3W-+ju&7^$
zgoNNpw2XocE4>0l`<D>P+RuKKm2JA^D;5tG_%!sZf%~d<<Hn7eM^qRs*tTahfE3jf
z!nT1HrQ@>5>jp$XmaO~c3aJnPX<^)OtMl+#vhs;jUU2`wV2e_%yYl3LctBn5bs!qT
zs|fJ-e+?T62O;8j9)A<kU8LkKrJ*$+)i;#mA-@NxsSGp<Y!yx-`wDfdLxDI6UyMRu
zi-FYEN?{k)bAjxq2IFfXyt3ecw}8<4N+Kno#t8U&(WnDa6AU#lQtanPlo5?hFPdzs
q4&)$)9l(k!DhqA>P`-1Ze~Y5CN%cTga2ay5Fxkrrm(nj@zxO}pm|Nrk

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/histogram_example_1.png b/docs/0.10.3/html/_static/images/histogram_example_1.png
new file mode 100644
index 0000000000000000000000000000000000000000..062dfdbb9829f3032b4c1afd55fefc61a08b5d56
GIT binary patch
literal 11387
zcmeHt2T)Yomi7Tf^dfK#7?7Y>P=bJgoUf<|2uOwoX%&erL7)N2MofUBfRd36O_IhY
z2NMF4p~*p!*b<xA(Dc8K@4k1d=AU`>rshu7)YMqmXrFWTIcM*+zV&_I+7B=4sI&jV
z{R@I1>>B6K=pzVoAc8OrZQTOjNVW8RhhK8;XHDG=oNe4auee$x+E?6Nt~<M5x4(MO
z!`ju&-r4DtxTN^WV+ZZr-Cf+|B_tgGae}zBtF46Soo}Wv$TpYrW^M?=c?JE;l&+Fy
zk07Gs8fSht^op74_wh1ZjIEh#`p%)r>~wJNlg&>{pB{X9Jx@_}+uiy%Z`O#voqb@Y
zYW<MyT6UPonQNVwMVTB73i`SW_q}*T+r9nXd6#e@sY7h0s(QzFpJ)DUGqXUH+#0KH
zDzDq2NR3Zlm;IHR6y+<aYq3-%m4GMwjbC2nn?+b}gXj7*>*~n_zwOL7tHQ7MzasFz
z?P|zo1UbH)=~o1)I{sfi5O^e=Kxl8%Rmq;6bt%Mk>g4C=_Y~qHOY4~fj~qgnRd*@Q
ze?DCI`ExVTzK!V6A#&5l2lwvoHrmh~&b~|Bh-6g5n`8C;XOY08U6lcqSFNlTv#@kc
zUFFqefeG3orDQD5r#(e$?^G|Tsey}Gb=ZaFSA^T1Le8FFS|TTfDo@(6ZQa`Z<<+V1
z`1o9dG@asndBjeU`5+?MdTSGFd#R^0%a$$jg*6{OoDX~S=uzKAE<}<SUY>j6M|Z(5
zY;0K_mTexRUtYZx--blpL$)Hp?o&Ndt7~hW4xC%Jx?E>PbXAeff#)1Lb7DnAMRA4L
zO8@?RUPO@z9Ypxpu?x0MaoI4)9zMPSvLKUc0Zenkv)4&Ui`};I8D(XC8T8>$6_0-m
zM61>He?2+rkZoDs(_(C9mcf2NT1Z;jc*l+%P6Q5wyQ!w11qn=h5FFg08$dHiNlncp
z5H5HQ`jMm^dy=0Y)ph7E!B2~GBHY1PW~RU+MgH`XJz|(-6Re-npf5Fe3p;mmidLk^
zp+nXEDNL$KJASVEd)t3y@t@TA?;!R&b-p@f+n%V#+I?NxGjbDxG}|1jZyl+R<l^HK
zm&i@UHc`6}uhB32{XHPe_D!{C7?e;O6`~aztu|c_;@}nNmz}GsQk5}5FZHOaujksa
z<LhTN?U8(@yivzNI0Vas9M^YK*;1no|3dCVpuj-)VfK;B`_O}dSGETJXAfBHL<R#G
ze%euz8ehMDebas2o03g(l0PCLp}Rcble<o*<CptAal@a2bA(u6aG9@Rh^d}lVtTre
zwT+E*Cgb6*qmnnioeAca(mZ?iY?Mksg-t_LO00rs$!i`sU$Ux(OJTo?f7z!{{=xAL
zGc&Wvf%4J_39PurWM^)?^2*SrY}5SH+qP}X5kk{%(WTxNp;D<_{QNWR5l^2ctgrie
zzJNKoygSl@>3U{Z*v@-*@5&a!M|xSAMQ6?>gHn$vhu{nX!O+?|W%wri$?7yqDk?G^
zYl?R+7-q`RH!~9s2ng_uWRl#E+Z%UGR@T(B9}mf9_tc#EvRiUm8m=}>(9yr|+qbKW
zQ@y${rX$sAlbB6`M#RXpNMNef)Vn*7rIzZUe5=0)sggEVH8)=jkBE>jgb$J9$MYJq
z0>WNIMP<HtvAc#kKks_>%o(CXY?%AT`prwF9!B|$u+*x&&&DczLn5}EBa~T%EG~LM
zT1T-D79vHG8y<?V{zJpB%>Q9yyoxTeUQtveJJpr{KEn~7<<aBES)NZSD=W<hIks+p
z+|KK{c%ygjR;q}KkA9fDPh_cS>8udpQo>^K_aje5O>)xH)6c_7ggN;(XzA%agUbc`
zi@as5K5bWL)bIybVEtE9;=Ct?d6m2kE9q0ti!@3uuKG4hju0!%Kf8+tvi|+KuB6xO
zWp+MA)36s|VXv$2u;S*veGE%3ux*lmmmq+j8MxF-a)yU1-Oa_70zr<O>M8VP*^VHp
z2V82+s}8G&yy&P3!c%DBq0bJhPgdR9lq0JM!$$=UGD9W#%aHW{hWZQ2(Vvqj&KCIU
z)vHHOo*1gC20~dW3}9?*S<AI3*7u_==s}|G-mxQ*g>BC`6qy_mG+q`VUi#ixKi1dR
ze-ROp`tIFnh&|y$hkm!Vw#F|FmfbAaBW{sSBuetixt@Un)D|ITzVH~k{*G$|u1;VQ
z-xj!k|NbZ?pSNLQVeORx0dQT0-`WzU(%&zZzC6{Nwl-6VRaxt9+P!~&M!r>z!(@Ag
zOt}MqUSI_7213Zp)c^hWTi=F<86^f15+7@7L{(HO8&ABy&u#$UAD;DF9f|D8w+cFP
z;bn8HE8Np%m$F!Y^(uAD=+dR^r%!)PTY?Wr24dq0^fqYH(#O?R!mQ0`)1@;DE5o5O
zD|=i3TcD8fHr3bHn`7kR=Fj?E_qteG##wrOWuY&TDvhpONgVK{YC8^AT+)gZ&-T3F
z?Ok&F_HCZf2M-=d6ZRp<5V_@>Xkc}9H56fEd;1InANV+}rbgi@uxt5EJ6`!xflWi0
z06UNDMJ_Hb?}Zli#V@CtKG$b?h-+(W8)<4jLeWj`5O9!${TN@C=B6fHwfo!koSbr!
z8k|U?GBPGNZrs3!6nif^WIr97niA7^b1bXz#Ky+PFWa}fd!zF`0oPp&Ll^7i%k)IG
zAdw?S&H-i^o;`aH=3hYLl+Blmkk;XGapD?LlJ;RIPo6}P;Nz!HlPhz>7^2;?Bid2l
zx88=a?08}A3{o$&6uXTPz2>flzjz@eFOQLvlM6YZ2B;I8v!b;2qW~=_OWn43+JZfP
zy3g$S5$)E1jj@2gR|i3+i(z5UpNGf9Sd6_bD^nc1Lt7CN6VtZ0x6hGB5rg~T{~^X-
z!#e*=^Zzn|{d1^)A2G0HUV3h0jYg)XFM&aH0G~w5nbFUb=Tpw<ss$843k!j83_{Cc
zq%K_Z{P||cZeXpE7<yJ_rlif6efWviv*sixBM8XF4ijvKRZYmBMd}N%V<4jtbpjf7
zb#<*vQ@w@$bZ;?>qC8{9BBhh^?jBnY$vNKF&reX}*|TSV(3h5Pq(B(n@Z!aUm6ess
z>Gpc9xw*NzrlwrCFA6hdz#C*6Viimd9Xf=P=!JJ|66qx+B?H5T#>SaIOD8}K1f~M+
zC<bhlWoBh@?cDjTop0yP*N{E(HNGg;l;E@AK%rF)hZu%<zCKc-Ghn?Ypxq~CVZoh+
zg+-1JIIEZ#F9?bAPQ`3pPNXb=3rx9p;r;FVUke+gj=!>v(=#?UF1OM*Fn}o#tQiKb
z=xBNZuE<XM7|*nwgCl}OB57)A#r9}vX>oCLW5!<Q<sDz8(dv48dt1o4SQVI-^vq06
ze}DhNPb+I{^@D?zDI+Ld%>8JB(AU=`uYLY?WOP)%=Z8nBtD76w-n}McFHxke3FVLM
zck(3qLC&H?|I|9XaTVTTevb<P5Sd_>q#Z3i@%h=|s8hBfA|fI@o-9o-PpD;NWQ1(E
zjecpl$F^6}c|Z}pyr;si6h%jv&(6Q2{VMlM^cDMx-7sZd`I?%VyLoxDV`6w}f)9QC
z_;G%oh9f_D@SwRdR-y26H8VT6<ar=a9c4GE3kz+!rGGHWe}fri7)QW8+IUi^1>Oq~
zLvm*&%0&JNCss#(v?K*pY|tneUUAE^bUr|Tdp#7>ltK`%`R^J=CMKPe7eQvUrRkFX
zIHEjLMhzLRg-7Gsz5BbDB~*{TK8v&G&Xpue!llG5@wLy7YK2{wj^4RzSFALRMiV)C
zQXkgeQw^joV#luRQF<w?z1+u>KA{_+@8XgdtpzKhigR7x-3KhX&kU`nJrCNPnZ`y(
zMF7pA6lNBmG_|7B79BBAKoCsOVMN^Q&6y?@M%jH1-b`3@RBe!fm<Jkv+ZqV$x~J$y
zQmStJbR!D)&2>D3n@o+2Qm(weUtF*Uz9BNHBQa9A2x;emAB`CFlr22YOrXv#WtrrX
zr~6B#?3xckAj#t)zwD^r;EW+}n3LI|-_NS6YlU&}EB|PJc;GaA@5CE|6xlZMd6Lnb
zkp70Jio>@>;j%eM2)9&bHOYI>XQo_Q7%DZAUB3gtDKkuldz~wdfRw^8gbyD+yv<=l
z4}REzm=H|$Y=a=<bWCzA><ezg*UcqPwEa~<{QfTonSe4D-RqM?M#siP4<1YqbAVd{
z(=20IZ(^)B=^Oy1)m>n_SbH?yuI2SvN6WuY))vS&$JzOL{di@+g>`BZ?nhVtpGTd#
z@~UI;aI1vi72nFlgalRf5T0iO?E8+Z-eKi*qP|9-!kdRF52Pfg(!$gE`T6#ID|L<5
zkB|3CIkXE|+uCLU%1vkPfD^^P7qP88JQ~*wY<O`ZEq)U4r^My!ZS++^63}}q>Cp-}
za1jF8<Z_VF@89i~r~6R}WM#$JpohPDRr^!bk$$b=QZ4Nl$6^ODyntQSq~2bl5R6ac
zQ%Bb4LIVglsiPC1+(UxXbmPglS=c1K7wky8(b(y9+gvrcJ}M(3Az^auTC(@jkBm4a
zpG=?SY51nIUZV0xBR5Rk(CLsS<lLDv>3Mk<OFd`EElKKv8W3X!zP@F>k3eb#Qf`)m
z_?sN8tOOluUC@n!vC`a!UEbdw9(5n|TehzXWTFi+=vdEARI}}!!xX!w*npz1s;a^q
zxO4mVLYGyj@ZrPn*;C+t2~u8kI63}P@BtI&AOQKygoFh4zs3H%h?rP5m4bBuFh)_q
z(R3#ah<R=Tn2%qX{pzj2qv&<<%9SgBKhSx1+b$x|rAw9m<>XJe&KzMN3yfJ##?bv%
zxU!ksH_mU#tbBDeda}Qi1k9o%O_yJz72Xl1I0GC6CF++`PU5@Z+?;Q_0Jwo`+Be3?
zX=-bSTbqRmL^q_~y}KEtt%!iYhX!kA06!yNfea`^D2c3C9X-IS;%^aQonew|2~6~P
zDFvOd$E)j8&vjzuCo0ya-Au$_aJx;GGBa>>p!v4H$Ta%1=Kf3Nd-x6V65jap=kqL^
zH=|a`+VYHZd(n>{*8wuL;}pA%Qs6Ov5^(dk*YyD0TU%QVO-(^Q3JD4bfI&s5zHwAH
zuKl^La>m#9L8Y$&QxVDATFjTvox6`Nc5<@7;>;ixK*wRQq8zFYcIG8aFw_Tat%zfK
zp?pdfdXTsXcj8B;JSav`{2qmdGAKIbWxM(LbJy3`y=#;h>(t5Cl*cxWG2Q9^Vv(J#
zX2p=4VxbnbjSqu*7ZnovJO?D(POl&Cmg+z)4V1uE5GLBva1BvXzi@CkEflr48(u1L
zubq>{Pa29EL(sZV=ItjqZr`~xGBuUm+Nz(n1RwYA-zQHpKJLYif3JOx(qEKU4+?#%
zQLhQ%HE4=c!Ua>8mm@1H1GMS^bB|j-&P8aetM;Ft9;$0-z!STtJfNtGh>PbKGb;Sn
zCYux0phUVVZp`sB^peg6>+9+5aGrvwAimjyWqOeeeu3bTBM#%uiH{yWY^e(u1#C=&
zY1L?bvj0?jA<iTP-tOQ*)#X07(6*HjUIk74Y!7(HqBt$)p%=mi?$dp8VwPp5f`WpN
zLPCsnbV7zdJp~uz=FPdJ!*HI;W}xU{FJfW{-@kvCCyk7ZNXdGjR*nb+Eh1BGEeF5;
zTO7{+WU&6V_UiwNoBw<Hn@gIBlEO*)uDIYQ+cje4@%p~LzIW&-rpv=h|3`V;xB<E`
zN*<rN^rJfo{4}tq?4S_J`_YJ^b!a8s1TNqyP<lQ~*CCWLK=cEn)?Zti0!B@fUt>&r
zR<>1cP%1@0-vM5BfL9H5DLguw@(5Mb&4GJZt1>f1fENiVD{tf~EY8D&mCaMB2MR-h
zS4=|H@8I?9({qlmtJ4gRj8srUuW}dT2n3JL1dlH~efo4vkJ{<ehWh%g>3)jzg|=Tf
zIX!=QHW(Qfmy?iiu;%b@zr8+-hp2s7H|5DBVgB|)cXxNsTgPZ-X6DJMNbuf(M9cA|
z>BKs`7lBuD;sufaJ8-PB@^T{#X0qK9gUM`eZr)N;vCyi8d3*hp$IL+X?{~IHb#)F7
zVnHH{iR}ff_Y$jM9v>S^JEV4Bw!ccxO-<dx!lHcGf3+U#FwvS)S6kZxNo|h#iEA0a
zr3Hlr1<yWw_>f!PJ^kv{t3=lkO(R1?Az@*SFiEi7@KZfT6B83*$$PQBdXM)?kVhM$
zx%Tg$SRo8ekp^>MV*0rR(HhD3&&Bk}$YST?;M}tLN12(K3(w=%KiI2)ME0I89<$Ix
zOXei_vO*fQwY8c$Iyr9UU`(`8!S*hh%!7k=zmWz}N*wt1Eb>?OG5%L1+W!FTc~Z}O
z*~TXIx5J0Ie*HC}tIKo>s8{udbJ^T|+R{{3U?75;LJA%~T#SU#<qQP)|3g88v&OY&
z4^$aVu+YJw$|^uBk0g}2h8Q^mRt}zKC}mPN=dbZ9`*!_Zh5b{{%_JL>a%1?@#Fz@B
z7;L^YP~?*XJ~JK8{?r2|s1qN!WrgU@YGh<2A|!Ot!67rLq5e-1eZk+q0_>%jo}D{)
zE|ATgJA7gw=Z%bw<>Rm=?iyi+mX-szC!MFE*o7stVR_p;!#gpHrh%g2@pR2F_lbqE
z`NjO=V(x@Fu(hv^2!0H6`W{67A|$o;_E?tLusILX6t9vCG~;I%An5Mh@$r@<e2B2H
za7ICZhK5FYjfSpnXPBUtL!tVaGm=S@siIzZvuGYxmqImXg1hH7)q*^aueIl%>}xqv
zQ|!C?1}wTL#T;NL*~zJ?@|UEDy;CS{-<Y1+(2+K$(Ao2$%>a^J9zXeldDABIDOnZw
zFPq#h-nm(H3;nsw;c%Q&hS;HK8j%8GPgGH{?B`?N`Twbf+!0Ahq6S^C_HT%z<H)Pv
zaow_|;n#ip>=th4R4X25m3kR;0R3SdP1r(pQ8WLd=9aVGVK=9J5Trc!$!iZltn)g8
zkSs1PMjHce7c4Ad3<5L&kxk0~C<HgzWdAix0wrPp;lU0}g>Uf@otSi>hJN$4M^P){
z&$5tq;ni!<IQC%wiwFzrxw{ixU0r!(ym#;2TVGGf-FqO2{Xl9%v<wCMb{!J_b8L%~
z9a_%iixGfKd?qi3^#NMJsmNMfDzN|Ktu|3zHc_j1+As4t&AzyqXVy?2fa*2A|JdlW
zGDLhC^kpggR)Kp#LG?BTQY*dhr9h6k&y+9M!EF9)^f~pJX6gRhG#Xs|SbEW5>}!L}
zVEfAxR_(=Zw$R!Hil(FBIqg14?Q?6YwJDHOf;{VeWZUAZ9UD|uR)!g~E9iEh-%UK4
z9hBNweK=H6e~f4QzT;IbHM=@bgRu+FurhwU`F9|dEs$V%D5udOKEuH>?IdR`5N^An
zs#~aFX!EFlgPNoF?%m4(Cj<Cz=U9Be04A;Fw}w}Dq;O<A5ILxhfbdEN4TPbT=SZD$
z>MJ5EhVQX&RJ`6-luwr1vU#)Y;#_j!K`Cdxb0IutW0dzF9`54xQ?yqqo39h)mb801
z%oaQR?b`x8m$dAs=a##k{1ONzGW2fsZES3kXz{W)PVYLZ)1I!EWN2uZ4DL4$__NMe
z+xiGGO$`k_3?>TP9=IX})K7SLcp=%IXbRItUmom)X(NK01=ZaSu19Gx2aoJfyEBMD
zd7mZ1@LV-3Kk?kEcw76;^cz3APNY$P0He2xPWw4`nMPSLjdZlzIUJ&}&=$YZo)Mpx
zeXrbS*<re`7<FxkxK44uwJ8#}f(HSBY?8OYc~Dt9R^I58ZDTvMqa^{oK(Lqvaq@dC
ztd2+oWMCPzPSo>*b{3)6sZ<-FuLQh5^BCjjlC~TW7byNsbr-0wuC6`;JE<$*3iY4U
z{DJ$rVK{TkmoT_^odPLazT^Xyv{};F3fPNsj>~_WVbsM>lauvbLCFKIT-mG6y9he9
zh1a`J!W@i)9%=~<ShrG|t=dEbSBmmu=0@(eh(rOi-nWjpye0!(C2Oz{sxlnwUI-hX
zK7D)m=7kGSq&%lBYN&u)01$ney1JhB<=H7Gs23wQ=xgR6mu@KPYH1a`e*N0Q#Pk5}
ziy~N?HDTBMs0}iUOLN~Bn_~*|9DAi9^vyt%xf5^FFnP!70q+Y0%s}5~lbY^uD%)wt
z$hKsNNlTNxf8^I3tABH>wBHFd4W^RTk;~I7VOeGeEqZhG^(nijPY1ucGqVN(L*U?*
zH;tBdbR~iq!Eh?hs)`zRNpqj#JRp5N58!dKe|iE}{U(aUXG}1?0#RRG;yUsusiCb?
z4fqxTI-}&`hBgSf66P*LbjCwNJsq^ppT7vDKp^99!cWH!vI<n+%($EA8$eh9-sz%Y
zj<hAPvMiwSJPCeWs&;fLh!+{7t`gV?097sZgw?0<_na#3#ONYEa<+Ne%8D1BLT<?D
zZ|i&qWl11|%*`;D@$r+r@$D{ni7~XzEG)wC`iIGCR-;2}IhN&_&Xx4H<d@J`K+R-m
zVztD`xh*VqVoQl+a(ma!B6yP$JS7$6BgW*RqMz9L26IldO{K=ElnkK-_uAE|1`PF0
zK>>&}y_qJmcMp!4DUS(=atQWR#tyI$z}|t}*8Urp#mD+pFpBfcYqccGlcBXT4%y*O
zL|twOK9oO-=9ayNR74XWorVLV_-yd;!0Ve>u4I(^Gu8%0fBWq;bWjbUqa?7O#0Ty~
z5&)bDbcb9WmKO>ylX|5BHhlX77<Bdxc|E^ePANt<Ze!vhB{AP^)=yW3PJH+Nee4FS
zj8mU1eK~+Zf}*kb?XiTz%s@FewBo^@HcxVoboimTFwv$?>CEi}9-57Ag@D2Wjk7lF
z#{6E5xbi*8quD|9wPnie*Y|~%{ECiBJo4`6NrV2SVCpYIV+;oo4=zzate?`9RJEWA
z3#;4pfig1)=N1@oYN4AnH(aBz;n$q-`=j7sBa&190@`ebjU&@S9V4`bi6mt|nrs{d
z+6Aod+&u`dM8;}7<A#;>biRGt5kOTv;IJO(OCN{)0SdFi$|(LwZjX^O1qu&q0%Bs!
zebWb6t?w(#fE5mKtI6(yG!z5C7mFmr)_~X`F!j^2PNOZsN`LwSma&M%l(^gDBD*J}
z3VsF_TnU}9PY_sSHLwa%hy*=>ZkW-$aG`ym+=s$`EAFmnAp2H!b|bWPXAU3020C&s
zDX_4z*7x?7HYz73COVoqM1O8<1ZXWl-?X#j3*8Tjydg|Hetl(5I<rv;L;}y4U8{HA
zF)eiFVFgCU#yT%!bunzf-f8doHxiV5mc|<uX0GQs|6^_KDT%^v7l%_KEnDAM*Dutl
zZ0OzD!tRjg3@*!V9-j3(Sk8u5LEIG;72JwmdBZ$Pc!=caphu5>0h3Z@Qo>hdVQ~m_
zP3cU9IodOX5(ZcUTZ=N~*Zv4-@X%2c!=V>8A`Lrx|G_s5_)Gh9`uh63RSpkjSo%y!
zLEKLic3QfXq*N+{SK9)@CNVEBPddHP530@2SL-VE%njjJ8A#vjrEAI-VJ$2thhk$J
z*uiOFF%P<bX|Uuk@tnzlZ4_zB;7ZUSmI9tq66M?u_7`Q{_)};(_b?;^Rv)8IJ^v4H
zyJ^MsY=BT+dH2sZLgL=;NsefEf55pc5g4Y@`s{m|sWmk$=b$aA*9c6hG3ihrZ98hO
zPT%<aNIe;rn6QbJ!!(TW<jHmlY)BwOz+1znFX$LGM=AT2Brzhf{`Q5=g9EhHrT{1C
zSAVGc@`VUB0BumH#{)frHp(DsurC5P?nWE5+2F}wU`8DM{ewH&Z?5#u_}i|ote8R*
zoeYLFZzxDUdD{9~C8HD~)izf4#yi^Vd(LbCGErICE_7=Ym5L*zHokwvB}yO-c-Paw
zrOs9h;xMC*HWUD668cL$6=+^P-gc8b?OrQigR;B2y5yH99^$S5E*M|D_!Lb6;-_58
z^2za2el&O7*LU|q#`yhL5=VxIt;#{|l3@o10dzurXJ@Cp`}otOCI}${`s64$;=$Ud
z++yX+g9UK{7|Ygf$~_TviWP`K0a$c|Y;%%)FiMoI&1A@(Q2gv6Ud@l{#N>g3cI<~W
zHHLc=AeKq1a?<DAMz6qT8ZvZAvLz~3-ho8O<MSRr1TIz;S}ak{B4%n#9Zmcc>c4Op
z2PLwwN6As?7%V~$gbn`Nhi#Oh>N{j`&&8q}Z0O*46OYwXu_&RD!Vb^T)vsQC4Ugia
z%YWkPnd}oSEiDo8@$nr=>YO-8@WQ3F`FaU+bbk*#rtQZMA58iE7W63b7uY26d?@R`
z98g~}w<rsi^3UslH=_?h2B7L)`Vf_#L7fGp#6SuX!CD|FOc%Z9mUB&BL={j^F3`cz
z^;bn+bFb0N#{t*HPqzUhyySMUcA{zR!H&Z*<T7hBG9|atX>q#07c7v1E!+29hD`ze
z_E3yTu;=U=C>K*;#bgjJ+0fD~tllqm$!#<NEM|O&29N+K+)%k3f_W9llYPYnBNPe_
zt$MIWVu^D};!Fgz!(PHRtKlZ!^XDH(U3s@TD=)9vzA}!u=UCQiz>yF>B?k@HyUCR!
z_LQ&KjS(!tslUVw(%E>dF*X~FaD~{&w8|r0a2pHv6KLy#FR%##Q}Ul~B^!!3?)v?F
zL%d4mz!Y>-!SJ_^?%0H=TwC9B967uW9j#VJQvc}mNo0ui7P7T!E9?OC@Z5&X-l;aP
zLY($P*B}<$cpy;8LqnI*&ZyKNo<S!CI!Z^Ab1r2C(9!}>$EhRBM4}wnR>%~(Ef1vx
z5K37Pmy;b?k<!<@n#pOKk?h;Z)}aWrL_o6HLHh(#=nxKD6^I^FJ>F{)&>`bgUP<8K
zQ%v8s>xf+s(H>QF0`|}vqEX`+1hkk!r{`xS9vT{YE6;`48I`eYABq5-m&he*{Mn`;
zLpNR-O%}8!K_+*0GoGpQwE&G3)Q~8fz3oq@U~zC`ZW*T-&|y;OZYf@Q!`5KY2Z&47
z&@TrA%|AiUV-N_NTwKk^j}z1;6)?K+v2<2;ZYWhKYrS>r768C=freM7)WOXH2bT=o
zF$D~^LZ>;T`To{G<OwW3Wuecepw@|`6$V@Aa&s$anrwTHHN$2@w7@B?et$kKv<tBa
zL1$!cu7+Phi2<Ct9i|aBjmqExU>%GhWi0&`jj~}M57==YXI~*h9==<CtrA1G$$@l6
z=^|?V0|1(VhIJ-a?2)h}fCpv=93M7Pw)1byvO-V2=_A*sKp)tu*>}?B%gaQx`vUt%
z1_lPAWSryp{1#elrs`o+3N(Y|Z_X!!CQXCJfvAE)@6YSH2vHKXXiH?r2LI)$jMb|X
S^w$u5h{jo+GdZU(-~NA<bcx&m

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/histogram_example_2.png b/docs/0.10.3/html/_static/images/histogram_example_2.png
new file mode 100644
index 0000000000000000000000000000000000000000..1aedf7549eddcedb39e5a3e46bf401e54d478fc3
GIT binary patch
literal 12592
zcmeHt2T)Y$wr*p<H0sPSiW0{G6DWv8k)Wa^B}mTbAUO(6l;kKlCQyO|B?(BTRdPld
zK|ln7rX?rIIZJ-u_MEwO?mhEvy}I@8t9M>Ksz70P@Ba7yueH9g)?H;qnVs92wv$Mt
zopQ40RY;@_-Xs!T*H(J`MetMG7yNUId_jw>YHLDvzG`nwQn*UCv$7>yng9B;ld-*n
zxvdR9j{wifV?Udb$#xE+yu8-`_5vPTdsANSTRmF1$u>J#Z3hx*_f_JXE>SYUoJ2Yi
zA$R_)n#;4X_8WRs_2TuZ1^PU*Z7ts3(mls*<3kU{I5z%pVNAsJ<4~L;*W>V0DqIQo
zHRMegn&jS@A1S|Q_3>J0JA16T{Bu<m#h+!YGX(@$7=jAB_B<@|^qO^ua`OIR1M|F_
zIJ^Jqqlu;Tx%Q~OmgP53C)UP`Sj+cuU{P9S6%Cv5Z?xwRBsvo5m=tLfiS+V2y6;J(
z(vzFc;7axP|DqSX-JEFp&PTbpsv3+*FZccBBh~%PD(0f>-06|?_U+rBzW+XYyuE;%
zpI<eAJU^=KI8=W@KcD=mIm1-n$d64t`S;(q&W+HN`uh3;;;dV<htdniRhH++_Uzl2
zI5}z8?y=CmG+r>#Ha;;`!5&i9U8ia25r4h6{HTbCR!mGxIKQdi13po^E^nKHF`><y
zHy;%f)7!zwLuQT&4CJ^|7PE(2WAL#I+hrG*-1OX@?W_I5C7*6?+~Vm}teBu`Zf-u@
zQB<&D<HkLE_r5r)`eN|&E2EHQ!)>HJI3NL$ckkZi550Jr>AC85@Zdr7%7BBzpI^lu
zQhb(}iKwt{QKJ+uCC`sG$I7sKGz!|ZWSWa!@45Ztxb7iCLqoaxe8-VY=Lv&@hYk(r
z4MaAC@)-pM2gm=wA^m=zYIm`WKilzyhNR6q_8vKONLoo^F|NM8Uf|mM@3YJsq?IIB
zGew<76SuIroOvo_oqS?#p=7;CBTXm%4!ft;LZ??rQ<`o<Zmvj9v`!eY@Hbo7)z;Tm
zv#wSCNPJ!v%|O-Ny^u#Q*Dh>5mNdygPhtwa%Wyax+pVgi($gei@?jqX3yamqXQzxF
z@R{Ht$}1`=tXeWFQ}y!dWlv&jY>as3S6|T#z1n3@Vh#3L@o{nc<oY9Tj9<_4SYKV}
zA5NhN?YdKTOzUMS)pPVSUqhz3YT%<sT^6k`uikom4clQPfAOOJm~G*d@8fGvj%oK;
zT$GhPfm3$0ULUjd;t%*>Nh#{r7zh`%<g(u4UHxwV8Pd*seA2c>b5ErGSdJP!ke8R&
z%lZ1%B|_x-xy8lB08f|Z>>CT?^0KmZ6P^pFckVlJhS-eOsc<3d;ibj4JO{3$M?WbD
zw{yy+_pW@7lMB?7TwYpAR*I51S#H+z$KCY#y~lMD9R@zO6gb=ZOfej~q&(AKqu-j-
z=~?j0FTZ5E%?)!66x#R6Z{D)S^8KR&HZx=G1v%-3)AH7zUv>|ywUW9R&3lG6kh&`T
zSWZ3ft?;)Ts*l&nC!5E6>|&QVCO5sXplM?A!lrOadNV!!aImJq<FanMksGsvmusF1
zD`{(Mr(b8p<2--+ijvpQlrz@Vbp<cv;^d4wx2#0r2#QmT5Y4kb&9cjJ^z-HAg$auL
z+W@DDjx>hDiizqe8o}f1=ItcAysh3Ork@fTj><6!+dTX6#~-=I8e(O3(`qeg>A|yQ
z%|-16&MEo@PBtDBxxKrrI|{XTOMH!f9vkb}7pz$|M7H?+@@o3>(yRNlU2A$z<K!s^
zQnw)*5n)4!ofNW{nVDHy+isHHdD5o3=-a-&$*wc~T)e!RdU|aKmu*_J6_muLZvV)@
zpsuVOEf;vm967sv*RCg=tf!qWH8(eh3)@Eae~cJm%E57ormQDa2$h@FMvB|S%q57D
z2cwbmDPHSqHoV#!&**nE5$8^!P}X`S*QAKkcfzw@U4P6W!zsteqgSWz+#ZjBw?qc&
zWLt&ZyMJHMq5o2jk=&lz#`ySns`jea+Dw$=^cOkW{8QWFB&j>Q%)d@{tNZ2k`khuY
zFi2mV8PNQ^u)5GW@^z}$@iG_b{&o8A&)mwm@@50h^(-GBU$~g-Yb5N8SQ&pVNlC*I
z8in>LR%Y%?pi**l^cg&nMMq(t+w5RWp2NWKs|vP;v7F9y<noatM`YKhdDowtM!HI4
zt;$H1+3q{+7M;Z&jvCAAn)>lrk@nrYce!|YG<0;riL|Z^Jgj-jq|}=({G{<c6;)MY
z6Jw<ARMplh6*x~cRRwbsiQMkFJm#puPg?#~jILh2+Va}?exys!wxZSfR=2gqfw>gJ
zRe2mVtwBjLZDqw>e6CRy8B-s9_Lg3+NlkeCLdOlIz{5&SjE3$ph<mfe>Aw7l;^m;o
zNFJjHzPnhH5fo?AbaT=JTi9K{{D90<NJ>f)b)Al*-_4df5anf16E0ZrCHKLD@8-ta
zb-k7vqGsQ7_$T7P@7=pspL@NxvBYa#G-;1_5zCA0^k3;o_xrwlF{_I{tCMGc&~$_(
z;G(y2D~WVv|AwDQByVE`Es6AmIBsB|9sNH6V%e6nhV%$S+mclcWDDy3B>5D8lnFH+
zi_*!lInK_0y4L3h5^otYHs$?$S)~v_tVLJp&5ij>!ztqWzB1pFc%_ij2UjOa+qZ9@
zwiCn+L{W(L?B74MByPj8q02b;>uXzO<?jJs-qPj$)j6Z?-OK>zU;nG%?4m$w%QO!}
z%}PR;R(IPCwmWyOHuIf2bt=Exmze-TKi1P0&999e4Gv=?5?mEXVjfGGZu6r_v$L}n
zbDcT1Q8q<$8atT;WPxJgd`7;96vE@OENM;G<FQ$h)IS<FH$LeuyJLyCrjAEFejMX8
z)?(iM)+Zn?UB6(s*I%-!=iU81?Cge`#v4c^muIw1rG{L>!kX8wU$?QInwr8rrGt&C
zs;bm9H2Pb3jvr4;ndX%9@$o^$Olny6_P`}9v}@>Om$8dp4A1S`w+F*5)2GP$4Junm
zT54)>FJGR>$;OZ1Cr^e)n=>p>;C=WIFUWO+qDD<EtwbLEd|ct5v-f)Wd)a~gy+d4G
z*0|R$0qd4a1x{m}o0{k>H(pWr5Gk%(Sy`DrR$s4jL0Y=0(jz!1Xb^9_mv{QY*&i-D
z+Oxl`jTy^pnOal1us(m)Cwru4$iC|!v8*7r7E0~Ofuy*&+a#?msXM*9yStHDPL|wA
zFJ)!rc++*xqd)%~-C@|X_1^FG>NIjXZTa>Bmw2XO0NFUj68C7D%-z7mPH|<N<lV!}
zoH9CUm6Po_(sWcvs7Y!MqN#B=Wt(?`VuZ@svo{ezoU4<3yf_rDW5<GK%c^sL8Fq6e
zNUbb@yZCIKR7;j+NTk=AYtd9WbNDHT7l*61kVuKb1`H(0^%aM?Vd}*qx48h$gNF~N
zXi^NqPdle`4%Nj-rJpz=H`bEXkgT4PY11w`H`=TU=F)hPx9AU<Qk*$uK#)e-#Ui5I
z|Kr4&lu=y?`duuENY<vS>bSbopZ1Inyz<Q4zbcpf*W<(wG&h&d&XO-&xN!8u31xr=
z3Uc+q<%Ib7Brpo(L((rC90W2&;EW@ap#dhpLnv`;q$=CnzgAIE35trMM2g?wl8`XC
zvzt9VbA7t6TF|oT7?_pWz{d!;#lDcNU*ByPpMK9Vr-#CKW_3E8lxz0s7llYM0z!tH
z(w?3?d9pE8o8Q>PM5DzEb#Az`q{MT%wUdjBOCGpK1%>sRPd$J)8x8ECn_O9(sj9A4
z)zf>HQd3bOgKAJ!Q<Fx%RN}cB6cRG9-5vN$9j2xT{`$x7Zb|!51y#dc^1WM>RaBl&
zPurtD<YnFQ@iC{R>j(QSg0-at1pL_UK2vkDd~kW9gjR$^s0{J0{)f5}u?_Lr$Uza=
zsKtN^=r){`FuO8S%MDmXVb3O5EP=<T4hagXzj^Z}UH96xYvLN;kx0s?3wyr1A}jm5
zyN8Fmp5ADafu3IK<m9A$#fLC{8E`Ec2py*!C~1*mltkK%@jMxSiKRq$cP^7&2ny~~
zr<$|$b#&ynA}=2LX+EQy1sR*@C<=~<7_)E?ji~zgQNzm0D&7dJSM|V`#ib?rfCqfR
ze%rQgMdf(Zx)Vt8YU&=pcR<jyXQ{VuZ<-rwknvcaR|jkpANa=~=jG~eZ)0eDp}-vf
z;)Q$wQSdL^-<yQAzIXTTCmgMS=|`4_ET`)CY(gO^e2gLt7BTYvF$a<Mz|5amS<`Uh
zxgGmdw6q4D$|pc20wHUR{Ka3~+OnHVKtPQ{#;<Y0YyF0j0&Wp)0Bi}0i;Lrg0#VQB
zJ$$&rx&ZJiFDG{yP%o|qMO|m-@=nkjd!8uqk1%_H1RT)vCH)ir{{IXA+qR@UWy2LW
zxBTbNpZ^5G8XCIKy7_fqz^XsHWV(67i=)5%a*mFUE`PqoG7G}OEqO1}i~n1Cy+)b?
z5V$!wq)<n|P6)YHyfS?;%YvGGZhdB;mQWw~e{hHUi~=DEJKbj<>SUT-UVpdoTXt>p
zzQ6Z){g=wX;Ly+`a#io&*8xa^!orfYGfdP6qwpV4Sql`1>6w{8PSh-_X(eKWt$PnI
zU6iDkfvc-4c(g;-;@7W7cz6`^^74ZHTp{ZSNF>&N?ARqp{fJ1n;iJJJA)2m|#>U26
z$B#P}ASwlf41OS8l$R%{HNgtz@ng@PJ?f$+$Tqi`8ew%@pr&YABGGhm?P4O`rz^Q8
z4*x^Gr+vgzL`%3_ApNO3%%P)(p|zy_+0vk=)%Ne-ukIHnej{7)nMij&tB74R8#jVI
zk=5Y(&cCb?=g*&i4+33WT%4W_N|c<KC_7La6;e{-<-><l*uHgZVtWr3KOFX-RE8x8
zF7X@l?}y0wEyYX2+!xNDS7Tbkz7_gtZaO0;uc+8`pSL&>E`<7N=kdnIBvr?yS#w&!
zZ-+01MxzE5EGb2ZszcjTXNMZ*sG5f6)MRy{0)hew{F%}3E|vxexXqfep0Ym=;84GO
z`7xAPmPrj0jah2@jvalyGhVL3Cr_$C%u!MLs8Du92s9)p(aLs9jwT(&f*N-KS^|QC
zh~f|@zX0B?W_JJKLux{lr%r`BaY)AuW_~<@S0-1)(!E3(Ba9TTOm<06y|LDug)<j$
zsiQWQ&JMmou;+}lwszPqHnG8*_lT#Bl1Zm?M>Ob5QuGTnh$=k>G%z+bohd5Bb;mzA
z=<FI3F9&eKV?m+J@$mHYBqYIGpB>`LKoReS8Cg={*Y0Y9;dHLAIs4qc?eZKop2Y1s
zYjkCPtaYHW05s`kK!xO%6Q@t>LSc!ze|_0Xdo8B|{d^}G#cR@lZKpRPxPd`QEJng(
z=?L-(hC^T<Zlm=kmhJ?yr~1k92535QZN!GRy4cbwZydTN&`nGmckp%;V<H^}lkTey
zx$zpXKpJtGJ=ld!C&Epq#Ip#J?trAEWX>wGX<FGBujr`8p0s9L-}Cc(!a4T&Rhc!r
z?N;n(A~ROQEMztLr5&-WRT)bo3T*V6>+E-3P+UBVDicK9`crX_&sg1L&zu*dey-hF
zaL1NcMt306#Z-U7nnGsGNP2}X*W<_hCD(Ex_tk5^y(i|Z!A23AHj&~j`*2@Bf%l})
zr%zK#OV51MI9<VFOFvGQtS^@oSTh@u2kQ=aKmrm5*x&Zb2CKt4*|bVXNDQ~-We`Gf
zC#z_q6cGz9!v6H7ng*`#0-bk5jvd5r_ot_)GaUvL<y02N+mWlhyEU;tT}9Zi-Ru&n
zd`9I*4j+~|u9NwQlNBLzi+-nyhQ^a~Qc~jDY<LLG>A?c;iGm4<2r*X`L-#2k!ptKo
zPK6&U$^;c!d!n))TT%E#rk0ehogocLtqB&PZ{42nsOsh>YP*5hR1P-rje}&-zJUSF
zn0BPEVnV}4f`q$BVvUCDOSEtakNo1*d0oxcH@CJB<Z36I*ymfp#7lVb63MkGe|(<0
znpzOyE9_zwO@!@1tiYjGeBjR&Q0N{!c%bI#S=>Z1L_j;q1>`%8CBr{cdIFZ#MHREB
zpN#dFP|2}rSJTnqLQo%&@*ON*9&dmFnZRsYc$tvdoon;LN<j#;t~s$ENe!^;T&J($
zbk#pIvaqDWhBN#0`~q7dqP%q3m6NnKvA#y}-N~%cw+3+!^Mu02jfi=9M`ptn@UVFH
zb^FVKhZM+P-amFr1tgWSv2F9VZpr)vt(e?aV%;i)>eFaM<mvpREQy8h*W3Lc!eWVv
z@!1((Dp=#7;rg86p9%NAqEu}Dvyt2KSdQaZ77e;i4n!0&+>&*1XlMuvpy3&Z?|wU#
zNGw82D^$p~BQ;4i!2$;0$#U5MmR)yxdV7N-BZ;#9=cCS_t%EZ_kVIHgd}GZSGUfXm
zha2UN>t@fY$zgRGlY_!HWmS-hj=c|s-SUYvw{)2;@Wvr2uW$9nuTTDaNk<_U=|w^U
zHz@GUn>Pt61`{?}kcXT5;;uVVvC<EdTZv#}BK;?9y!cD*>hi+K%`I$o$8*|Ll!9?o
zE>A$<K=90`zf{U!x}=8i2!is4wQ`i7Kck8du66#*$J2tg9b#FwoyBY^2&PFE%GPf+
z$iN`7r>95H8u<vIRkg9P3GOA55(qC3GcUDi6?Sk^W@h6U!Qnmw3XdH<dfC-A54L$*
zOWE7EYWNxoMUBwnEm?VO;6C-vqEpGjBKfylxAb$~zkgqyOqdo7g};#2R1PaeHlhs9
z_1xzrti+aHliEnaGR(Ev0@YZ?g{L2uW>8{OW<GcB+?SD&l%AenbLR2G=gu9?!Sy+s
zp(S8|>6Cq3O3e^iJ|JAc{5d{Vg;kWCc!KBWpU(h6v-HHjNfHp`wY4<@t6yhi=v%``
zNAbS*@L^hA$;A+!mST?rsAj#K&Xs;)CIPcY_{GJX5t}IpMQ}t8!XNgna+HKeV~(vM
z+`AzlB{nyRQz7)kS%m*(JR&T4$96|r-b33@&wV)6&43h>LJ-sd)->>Av+=e(=p7X@
zIkPEMyVuP~_UhFb5U8Hpa92u=r@~1`<nRT8oJ=-URQ!0bf=4$yb$$nq)XZDtAoly;
zJ5v9>!TEn80se3PjHzT&C@M-~;t|5=MzcdV+bZex1i_<pZSpRljHsb>>|tbdt|XXN
z$6Lz{UHA5I6B;Zi=qDgUifL`+J%4{1>@V&yG<ITN8C6)6`R;_0RljyEjxaKzothl_
z@b0;4y!-iu`$TC*CnQ-n#|GS3Im4s|+*sRuon~-Dp=7yzf)HY`s|Mpk3<4U4)SR50
z#5H%JT$Lc5BL9*eQ$@?e_)W>(Z#U~ZQq>*R4<Q+D)e*j&FC;NIGWW4#AJW9Zn_+b&
zH}SD~e!ZGy)82CY{F)lL73?*=R)o7CH_*NG7L;yRpU%rGH($SgJ^S(W#E}yxURHU+
zO@oW>)D9nE<dr;NwxxRy-3d<4^I)~#TrOU?TrMtO4^~Jlk7f{WmspvUnj8Go8{mOW
z`nQbF9c>{p{wX-CmzNj3+t#t2ER3CXKQJ@v_T>^*H53L7eV4`rrKqT)C~t2Pa4fGK
z8_2{=$)#5g2nY-ee)K3BtSb?f4FaWMs3GB-)CfOu^*305v5k#ta`lAs3`g7o&NAqq
z3YaYCP!%_&5q*!LSFX5SqabQ7ctI1)d;#ZiJ;;QkqM|yMO{v$5_+Tk2OGvCczn$@6
zG^m3q;0Ww0U_E^B;02UD7mp{ziBJj;k>p{X1mKISJtQ!&H@gU}gM3~<W;EUOJxijO
zs_e1p3_k5&wz2yEj2TAJ%Tqyv_wto1(di{?ZfOQZ`H@_IgT?>U3G1(UD(Ez-rSMGT
zGE$bBcsW+UqVWjmcWfj#VW%3R`ZFHai9_pzn~(1@!6BukeG$PgK79Bfzs#%s`aCK^
z!>!#Ci4cDlYb%R{^FCW4x%TSsH&77MKVvQ8wN?n?D{y1pO7p3|zdsN<=;>44q0qKA
zJ?Qa*talX^BQWpNrak|($|ca#<pfU8o=m2+fh%#!$&@UrbcRHv&GnWk#@{J^%o!n)
ztLv%2!j?|o@ms~7;dADfW8&C7*_-Akn(tTemp2YyXJ!B^fQ3V}&_KI%Z{P<EeD$GF
zcn9*!j1bSRl7IKoedYn~Oltb#u3p;8rWL+L*_2B&<ZYAZ#L|@+>A%~Dze%7Q0va$f
z`gLcR=BCo6lX#w-3|~MoAw4OcbKIv`vX(V%&CLl*(y^<Q4(UxDe#N|@pZ3*tnI+7y
zcVNunnx~-YgHPB|Dmq^};x<M-e^qQ;;*H*xm3dwEl7oa+K6A!fR~K5zLW3-bd%E^9
zEdTN!?rAg<R&u|vN8#tcW(nj=R#vIHUUKN>=m)PNcOk8x(FMhQ`Eu<bCubsBwZpAB
z6g0!hP}V5n@&SjSt%a;xj=(<%5b#(c6K!9@Do@MlNKQ>XM(7}PV3Q6f5QSg><pNqn
zN5+rk6Z*jr262OfW@*|P<#W>hZ{MC<{JPS)t=4mO$s9GyZS+;ew~m%-f}-0(yE8#L
zTrIZSY}l|NC?G(k`=F`qn-wNW+bE71%auY8zYn`Z%C1^@?iN64_9^W7*2q$0|En>G
z)GcTP*2DP2-ddhw@w@2RIeFoq`$2n_;{GFVwJ7;&@il(t21=nI#sPeMeYwzMeD&&;
zPJvUJZd3)kmmWm$SX2DP5YcBBsGdVB_V)H%jpKGAT<$ejq_ic6LTaZlMv+YRgJ^M{
zGncgt4G&KyL=1XrnkgD-L}q!wYnD81(^nNdTpxd*;9IM6G)puqY?dGL5oRU2;f-kM
zV+O(;0?|?MAs6+UCvWlB=QeqLd$X*XRS4YH)6?^*xMDmaX7%}H{xkV_i<2eB)lbwD
z#ZR25OH;yHl1v;}MC`7_*Ouwp7E!4QF{#}<cnhQ1#NBcw8czucX|TIbzByPS@MORc
zLML?#;79{)Vki)Uv^DgU8;CPLdy75^O;~=D4|Onr+s@Vh&)C6;1(W(x{7fr)alYT}
ze-2g4&C9C<=}H_#mg9&<jwhkxpvLra2<^>NwXR)4_GBbB!)7kWf?AbDIgl1LTRo7A
z{%cMiT&FXd`i{YCGm`5KX@*kTWe=H!iN4p;Y=aW8U6hdbgy{}!Okv4zoiTaHdRhat
zyAf?bLG1EFCPDerPNQ~nuKi)Avv(v{&cfDO8qKIBzuTjE1Z@Dg{we<Ed5zaR5gSaW
zol=FYK1ZV#p)F=HSQjJeG8wH~a<$AiFRgooQer@BNQyo*6X^Ms{w_Ohtwy*rcg*(4
z$YH9LAK|RGuApyzz|gRBdu^HTOJA5&S$mIZMHd!|5h=1XNAXH)wJA`5TE7s#%G@wR
z`E)W-GvLGNi9&};iQVF}kA^S}quV<8DOLew+Ohz^Z-R&YX8klEj03~NbyDWmRH$Kw
z#;6!3sM!N8igI#%aLiJR-de~x_UBwJqvxn(!Glyu>~vgxkkrgn424wQZ5Il4RnWpT
z%*15$0YvU0X9mW2xR%?lSFrXs>DoG4-oJa7PxZwmzVdy&WKjhS>?}e*+tSwH`#%Lg
znOPd4&=k6<Y7vX8jTri{McdKFz++BbQ}^7t-}1(?TZg0HR;xxV7EM=i9}*GCty<mb
z`fUL`28EvmY&+VXi8@wMo0MsF`;0I}U~b?x6feIZ*pJA2v%i%7$UpQ-K`etgBmTw$
zZ9LrF-G5?a92jm06^T$J><%I%beA#KMC3MvpMi6SYXW>bakZ;8=VfHLVN*%@e)s8c
zlzWfGLiSu>T!^8kHWa@_Yj&FM4JrLHM2M`4Peq&mYTJw*1_hvH>_;$;lL`mfpJL?L
zzo2UR@!2Pz9gJKLpqDNqXB+bzOch`ib$Tr5r#0y?P$N2lMUC0kx(F2wk=DjXG^J#0
z_R4fM6Tis=V%RBX-Z$G95*0vJPXy@76199~#q!uz@14pZY9q{-c(7<pK_z{R6erp`
zgwNYDkU$F)q_34&PK7fSe|kK(jJlVBAr@(Ej$r_|ZXd=>+fIpg`|9IFOMVM?S|nzQ
zjIUiAM5fjw$>Y(K--)gzF|PB)aby8=62m~{Z<*V|Jj^5-p;!~jCxvJz`69foHYZk?
zE6uoWZ8oCSj)R50nTp&gSUtxoWEHx$G9bwfbC4K^60&JaMBJnl78dfzQ=SZeq`(NN
z`tYIg#zav<$x0uuy=cTRjS{uCSnDNkkxL}S&K#@e=NL#)b72#T6KsPpB?fsmZ`w52
zabtptu#dHA&sT5Bc_p#V#6Vf(5)n|W4&kL0y3Wkv1$p`$!tP(~Xtm;Qv&xq)J!r|c
zP7&^Kk;384o=>7S;XoY6+nTf5DTb0BD4sfnF0a-Gyw)mi1ydgq1~I&|I`Eh_;;9v%
z3MrrvOn#pG-7)RZjPBove-Oy*y!2goZMmMsYfB@9(d#%^cb2FHVlH-RP5S!O2t&YS
zYjZphD+zuuMljamz?5l@VIlE{EWb`y^Nt`hG!aGZEzI>yPUCIbz-3|(jp!TzQO$bG
zAFBJFX*~XsBy{HAcgr7PY%2NDqwmoP(`Y#?CRQkMvFI2^l%W0tI$U}mZckY9N{0XO
zt%Cu5;g+24G&j~tQ!mI#jhZbhm^{hPFX*}Avbel#_}W%Vs|<arRg@VjTrV==e!sR=
zuPwW8NuKKT&Gaj|=E*4jPqL*o$CiR6_@`Y}=y!e`6%~a}Nndi&f%GV~j8l;k9y(YL
zb*Zc>&~k8Mf<jnh&J!K-3JU6g2~5cZ$S(_(BZZ|%R^GoF84<0%rfgJZnqkJ@>4z>m
zCQ3#}N4Y2oW@ZLntB%Bg91IWV<@diOqbA53daY&w?S^CWTQrrGyOP_Pn<kzUg&v<k
zU3%ABDJW2W1ZLVq;f$Ze(jW(>GR93SR@!D>!b#k|d$;q5s*X-Fkue>#S44GoVeCWO
zmGJY?KpZe#UZ06tZ^S^P=7gnI!{VwIJf3XZ&T%|sS`^vUK`+lf9yuyt)0P`GHj*Tm
z`T&9yPaVI^MAYc%L0#oz*D>3a0RSVuIVz9oWWKj*&!?gdD_p+M2!51txj*~Fa0w<7
z8qge`>AJN$9Nu3zy4AfSBM@8Ky~BaQ!N%Y<AJDV@0M~Rk{LzI_Oa&1PlwPs~!nj7j
zy#5dHk*9#PJevxCcIUZ8%K8#-U|^sT9D7rV#V-sDjEttRkcbk_yt1;F*TAX+6)EG!
zf=!0UvJ*epS#NKz5p33p;f6;|wV{R*75B>@GMoPT>#tnmCQ>?Os9NEedBZ(>=R;3B
z^gl?cg>hArs-2<N8s$EH*StRNuIqfWY0bxo(+cwP_oilM_z@${bK1xmbJ#(y6GaOj
zvaMS`Sm(5xVD`ck)vL8@AP2Kty%Q6*MAYZ-!4DHCUzrSb>AJb)l8sGzGX`w5VfW`j
z6kNh=#|Ma3rj->Sm}yhGz9o{+GB6~>wEV$-BXFS_3`}(oHz;HM;WbmwF~HUQfK5FA
z+zqTB?X@rjM>rZPVX#HR@caHdWmgFuZgi>Fb4^fVQ>mNXl+jsFH)7fmix66++eojr
zkAaoddS!K00j#Emn^LIKor?o_me(I{`JkkvWC)yh5v*dw^JFmCAM=STr3aUpXUZx%
z(AU}r5#NBOGe4R}8OXz>h|lW_7Y7#b`loQbL(wB}psH(zVX`%x=!n0)&Rn&$Up1p*
zaH_XL0q?A-kH5(MZTqYG4^@u23SKEC<y1uTl^0@WrN70JB8X&pfl&Yxw5x2EBNP*0
zb@*-Dv4bDJpUGs`oBnFvlGHo<^HM5TPzRxx;LKof6ez`qU=hS9Zh38OZKic=)1^qU
zW)817FdFbRJMj{@nIC@tf#VX)_tw8HYo=ll672z}=A)%ozL~znq_8=VacW^f822GQ
z%|=j|faSgu<)J#FVbJ;B(%#=>{{Q+cwZ=Yl3{5_SUhZ3i@k9&>>WY)P<RAjk8QbKw
zzTD{u3g!Z@I*}39!K0s;n1+XbBt>^jqGx7Fw7%dTs@U1RM6eT0ef<@o4^hRNM(spq
z>o4*Sb*_zd5@Q&I4?a<{UTnDzPl`Mc;Y@V!6`l&IBgSS4BV-|n6fF&RE_DjyvdQS&
z6GMEMg@r}6cL?TF^6Pcr4Y`8V*$h1=CV2egg)@q*;%;gI#K*4ovai=|VRw&4HV?xj
zQI?gJ^-$PM;@QDVxACPk+%KfyG4v~tEtZHZ0)!4JMe3Qa7mVj$G^+3m<|L*9m&(}J
zqCwcrF!qT#CN&BMwi1-s<s_e--Q->V8$Z@}y+J{^vfC~<+sMc$3+eog43t1lrbkgg
zCV(kJlig(jamZgT`0AfNeR3O&xs!>p(EQ_UB#R#)f|9!i1_rXn>_onhMGwlA-PuhO
z?sShuBn`LPmQcIi+?p%hxZCCVCDPY--*%+gG%C;9YiTH9xG^aZGar`Z!n!(TK-M6y
z*W!IBz)bQ`eajIB(l85pZ7-!^^1_x9G_E2{!4YDn8tq0)aw>9}00m-}8+CM+R<fp!
z%AD4Bk1pB<(@|PRZ*OlC1w~z&ALGVkwnCJI{z99B(nG&KAPSncg!N5K?-0rcU2dxV
wJCd?6OMlOuD-e{W+y7#O@xN*q_pj4^k*?`g<J8H3TSbz)pm;w0+?C({2PJq-W&i*H

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/missing_value_barchart_example_0.png b/docs/0.10.3/html/_static/images/missing_value_barchart_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..33cb7afd224816d1d0c8e9ef2af37cc27d3bd277
GIT binary patch
literal 24758
zcmeHv2UL{lwq=>Sjh)msL93;xBozS>DD1XdED%tXAVDwyB1wso>GrB^L<<qgwu(qb
z5fG4MLb3u9Bq~WVl2gI#^JDkixp!vXd$Zn}wcgCV%f2X8_1FJ@-wFHdv(I;akE-Il
z*-K}$Sgd*6T|cX{STpd~X&GP4#E;`uC64$ZWBZG??LI4GTZco|Ml6*>wkOQ3Y|Tv%
z|6p%qZDVR>DIvB+OhV*`W45*@Y_^GuTm1C~F)M2m@w}j)3vrPzPwYBi!(s_MrT?Z_
zzP97ASca>)KmWM@R6u*R<4sLF{=}!U{MhW<zyH4M)`zpYV(X6It$U}XV#8J5w`ZSl
ze90o=+=taxA#N&s*ZhSRCs#{KZ&Ci?=kGFI)qa^V<?FrIelaxetQB<g{rTph?+<mp
z?>?nhrdQ@W>QazYEAi3pq`XWsC&W5QZ$55@wP#n<26_4mEB3<|9`tjM;nW}K=XW<*
zU(nAPYgtqAWBadPdeA@rE4-}TrnF%DGtN-mX}SKAeOz9A*+JPT-O<(4aR1uA`?a*1
zqY`VBc;+b`38uAau5oGUekD)k@z$2I7=w^3dQ3x^?`7@H?Q0yHja}6eS@g;6za~wM
zJ)`T~5#N@Ob!CNrf2nTFZ^iWH*vNakebpV#H7n|>*?i5?eeCJhRO{3h<s%^PwEx6X
zdJE^gl3Z=3Xa@cLKWPc+Dd}>LTpF!q;!Fw)@_Z$FGiM3jy?5_k(dr-L!otIqMh80L
zMp`36k7Qk0@2%u5VCu_k^7hlm&CGg7+G0#PtCGA0W^A~foV=~KDL>b_E7j+%rmkqJ
zQ@>J#rf}iqc*Yp^#8@Xi(H;}_R>DQY>-N8Xa{Tylbuk|=woP+Eep^g>&^+m?6Cp|8
z>|ssE9koh2540x_X=!M9+m-1{2X3>|35$07O)WejK`PETKc^&YAO7c+WYcUs&|cAk
ze}*WUeK(OvcGmAFV`E%BklYsS|5nRDf9!~NakxfAWZFpU0f%b4wu8<S{6XQZZytVf
z7s0#t#4O+p{g8bwksmFhC7XGnC~RM7a;2Nry~5|;v8J$C9!{bz@2qei!V}t!@yFkW
zclL^F-4i-As<0TJX3gHs+^@&fZ|TjfTN%^0)34WUobna@{D+ryeqXuc?A`qvjP6{P
z3U{`6{`=QhQ~bFYrO^4fzIDJ`DP-<4Df6(d2PZmCX01qEE@b6fAU{}j9lu|`HMTQ;
z4gbo;XuFVE%(Xu(n8rI$yg~lOg|}hOJ#Vjh2i-oXFr2OSaAJH^%W1C8_sl(LbBtA#
zYl8J!)@z!2%JuBBOy>_Qcj?ab7C5u$`J_3`cpasi$QC>}LtD&8SZ<!^dB$(|uuKB&
zG<gl5vIGl76RXtUn;zp<P2C+=X&QR8wM0n`&%6CdfQ@QVio?TFo$PPbwmh-Vox!ba
zS`u-%Nqkq3Zcf*GuT%W~3FqM9iDB3Dz9RPl_pw65mzO5YyV6F(4wyyt_6}59H96Og
za-9Y_TcUK{x_6XaS~73Kmord4ZOOL21&)1h_BxJsgqc<*xJs29*0-mP{wg!_vA8(C
z?VYk*=QYKh4R^f;cJuU3zUXd$(wkA`+@&(yW-xKpePT2l)-2o>T`4?mmK#SXpqn50
zU}xFLxm`u~RC+#KOl&N4AGZ;38+yOnUrMy2GO_TUzop;l`P<gjjx|ZgHTjuIow}kC
z$l4X>zfIDy{_^MN&GYvuDPhOQ3%Xqs(T@F4puaC}XjG&n{tRctq$t_$+}x#oe7#fe
zeI17zO{@p2rJLe{<-=<R!=v<j3e|OW{cHK1{z=14%8MOc$HyEU-=E3qeLBap`Rp>W
zY{%y60Db!khxH0OEZn+JACWLG4_<Vj_nnz|(>pVF|Iw~=Ngo5whU(;~l;=xK3S5K~
zhB6m#wr}TOe8RD+d2&fmfm5I5SvWE3J|XTtT3P$BEjp!iG%mWeYU*6r%bu^!3694{
zrVfm7dBV{{rpGxt^-EiL%4r6RCrS<6>&NP5`53*r`XH(O;d?BxL~*j6f1Y3e!2-En
z8^=#C&WfLV(*Dq9Gj3}0iMo};`Bs+Mf)iUg6TJ!!%@V;f8@ZcLeo#*8ek$Q}s(oy@
z*Sa-q^k{qe=svj45l?xkG6Q#40jH0DTv{r*A$_b-Jg!v7%;?=CQ<*xCX+7`EVnllj
zlf%DaoJi+)Y=fAmoO(e=V!F<tPHoz>-dC#|<$7Kf3AVq9)*oH&KDNM%9g{lnQ)g0h
zVQ$~JcxvDN@v-J!FSft=LzVHqP(_>aLk9V!x?KTjuCto*B*b40H`fMfM(G%3{x&@P
zHb&L5+eM8tY?wCQZ_tpKo+|0w>3D3UuVNE_v@3Xy*yGhHoyi8ghTw_iehxK`W)F_U
zJn1oU93NIJPO|Zl8|!|S)S2AY6C&=qKBfJkGN;$Ku%SJ!uwdv@eO!%GTVtR@O?HJz
zaB8^><Gs0!m%iV0yEDH2imVtSZ45%uX1=ASF%ucL|GM1z)p>-bgIvy~V{hNSz09%y
z_<BO6W1?DX?2e$mZ$V&+NJ3L_@OaE}+t*)mc_u+i{7r%!@7DBMBpKCWEj}EI-oK&o
z<DGPGc34<gftT8q14kzUWa3(*e?s;O4z;RHQ<j@JyUg;YO@WLM*Sa@f+5}NkdH72$
zmCv{E$h24rE^>#ReU~fVTp)XH%SgGRz_23ku0vN;T)tFFNlNGI9ctl~0<r^w{n4ZC
zCZ4Kc`*l8~i6)Mzl{nX5)>>3C`0>ta3A0jXF3)vf_@~nnT@SJZxV#y279AZM`ZO<E
zUt==;&#-y@W0uM3c}_yy=(Lf=2VxD!)jfR`+z%df=ht$J49Aptq6y_I5s|pOCu2Ru
z{n3@j?r{1$bzS=><oFH+0fUPx2CHo9TN4H=Oi~dUozfF3jQx}2_l2rjoaof>o(x_a
zae;#KLgQPxn~ieJhAV5Mby_z`n56AXOl|V3_OTw9I&kE2{CL;nCH>K6wP`z2M|I*y
z)Na60`wp#<Fy3v}&2N)1DF|4*Ld!NvcoN{`){c(~dYMHJYv5jA=-K3p+jM6N-L<H+
zzq~CWt<v5<SMhY+JZU+<s6@-+`}IzJA0OP_sT213x%a~pyi`ZH1v1UKzET~R$NFP@
z8t>mxjd9?&M#LOQlt1#)e_l`u@@QA;;K0O+viQt+l?UCePuT}-^5d}yPiutUFEWHH
zd;Ip!DqY;D{&J!cPtUo-ak%buQh&5XWrDs_|2q+GPhar@=~Fd}51tZv`*seG@rl!B
z{)aD$+TX8q8~gMomp>M<lt~V^Zt27y_l|Mv59RU_YlHm!t<oN4_RDrXQR6juYXxOX
z6kdvQsIDEiH>$QzcN-Ns$6fq3rj}zDEI8zoKE`RZc1%jo3jdkOf$L&Z2e!%iTO{c7
z8j{<_Q!?WXhMtzS2^4(FH3$kg5N9lw(DcW-@t{hpiS9pE=~`8b>sqDuS_f@ysY+75
zBG>bXjT|C(Q=(8#B0fI8KiVC3YSZYgRhr_iA;cia@3h1Aho{W$u678Oer#W?l9-R1
z=wN53Pw;=fB5$8n<<z#&aiHSl5(T%T<IV1AUJ`|4dcYZo_>~B6?%IcJ-1{RGa-}NU
zdF-T*w=X_~M>Z8Hi|2oQbEkKx-qU2L`+ZUaPucp_%5!(MVh$n}=4zIU2+J;*LfL)Y
z<0;cP!N`T{3+1IP!_3rVJD%hP%F6CIH=e%Rug}`8Kf-IVZgE)g(&7FXtDHr;=IK-K
z@%L0FbXaGv8EkA;P!O9KYZi6<a9+szooVRX6t{jLltXcm?F?%0(8$nAABhV%`ErV~
zei<-}OP8~caXLTkx~}E$4gq(U{l<BxBrM)N%AL8aPjzB^R>S=}1+V<fqEnxmbe2D`
zDNvY*ah%}KvhIj4GcLKm*H_Nbx~U+LP>?+0B6p;}&1c#Ixs9V8iM6wXO^h@)jDGiG
zkwwv6Zc9a+3Ge8K=jU7A9BFiKxAPRpUS_r5iAtHJ^|vpM2j)x1s3uxQd6}2iy;I{K
z$$i8(wC<g&xw5x1CRk|DF}mnTr24x@+=R;LqJ3jo*pDt?<WRe|(hBpqvlGGE_lsP!
z7JA@v8P*SO=?^M-#y*Xjt+4vVYGz+^U)ZF0M)rM?@y)5(8}X+9oXTO#eZA<u=@~*R
zneXWLlL*})Dalp$x|{H{c)QWt($afP&n8x?YiMY^H(jd6m~d-<Pi}{Vvpw&+S6+Dc
zmOU`qe5K(DvGe*C@ozWCsnj#Bygl{h6@B^MW+9s<c6JF{qF!mcrX)<(7r67DY9KOJ
zb3q^>OjG?9G8>N@ZN4VknqDl{QjXBHDULHy*=BocHFte>j?L(5;Y2^bhT4hfzPXZi
zTH|X35Aw?%9Lbuk`pBHIiCYIHB}2vr5>tDsyV8Q*y-PB!lxit|5D*^TdR@so=!(XV
z8X85s&IG!_q6n>+>zcPGrc8eF$KIy+oEZ1iLkaJW+mG}+EBIS(lU}i{WWSS$=GPtX
z)-1EwU$F#W{NcOf5g|a~xNN=B!ijH~z;NtuetzmfPT~9LzYxVk3*$0pW^1ME07Y5~
zOeL88A1~|b)Df+By3PZVExJRO$T<8NEytF63m6)G>W^`k4-K$ZN*$H8Z!f>ZR7TtD
zzwo$RlIlEYjtJ;2KxGu`#(7<j{{`AMzl#tiqiYebvCa15)q+4-6MQVUF7vd6%TTwH
z=S=!|f6rG}cRCGJm@FP15Aiveqb#0!9au^1+;Zz(XXh^ANtS9K@hy}!ExJ2%P|bI<
zk#FIb^szZ#dMLm7W5+oH&lM<hibK_cZCgv$Tc!4E?!2<xH&-l0#44R{Z;7JNWxO}I
z&~>odN6O-zNbxX=nWW#=GN^sZiLjbe^_Oj1ii{qV4OTnUy3{YLeKii)ktN_PvRd&<
z-o$v<M3aB*m~rm{=6n0UV)-2AezN+*uJnM=j&t)>f;p}a4Ksh!bNTclcR5Q)HK4q1
zeEq(AcMa0ra&1-VR<(Dr#{T9s*cpghkannbbvWqM60$o;P6maR+a1rYH+QmT2T=9y
zp%EC$5}!ruRXwoG>dD?rE`8o`@6<Z$JsZ3?$TK@Fa*g$Px!h=boLyzE^{6<#Bl6hP
zI-xCxp8l;0m*?_Sq$=3U%wvB%BSatYnD~md>_pZIhr7wi$u)edv|;1<3S-@Q!3qjo
z>zwtWTgr~nHD0d^np)*yg#`cz_>tbxo=|C7aqP}zGD)M6zLq7M4*xvfeNN#h{?6qU
zx-?11pvD%K+e9B1QDW&`$o3Ly{%}#e;KgDCy)M6J3l!wE4mujWi#IE~<V7ZuQS_z9
zyvGCY%p|NEUR_!uu@*p1>7H6}kgtTvJs<{(d>np@nn`zEW`#v!^#=J3%(btv$~~q`
zn|U<DW6Ecv^UK?@onHDkO1yu){126{8G@j8e^vkRlmijfkCZ%VS0bm^1eM8Wzf$si
zp#Ck()V^AFcdpY4Ar!56(QwTk$&{jRBgZD|mj8I1`2iRC&q*QwZ+v%f#$ehYA?4(l
zuUGHf@5H9{(f%8&{AW*v@l#@t>wcTu71q3OSpK)bum}aaScgYM6eH>?c`^~VAFtF6
zrcbyEI5u4CYbh2o7|zk!AkPqhCCV(loiXX-P5`z6>}(?+{Tm4um71qk(bwD$W<9>7
z3T7<NPg3~wtOW(|s?VR>vWulRQ@YxAU+0tF0^5#vlIf$>U7ueQ@n)6p0!d)0s=)7K
zXS+`fx`*l}S}qJ?2*n#jfoLBHKtS}}W_NsKuq$0paBS0G0Xr#`;btNPro?`|^YT(}
z;g~0zsT`nNQxAJoRZtDGtI=MJZg6O8B1`-Q3Rat*Y@tv+vF1F9!aS);^L;JX=;d2)
z^rk%iE`8)}OwU+vVJI*m2o|@8RfP&CKRjpB!y5ibziwyO9K1Or{705~MsJ})u))Mg
z8JBlaJZ<X=S$n-s1YAYWMz=p>vw6mu#RqQ=_cn(*bk!gbsaigMfA&SG9KWyFu5z%}
z-5n^xk1g}@)@jXM8;K6{Fj~oyGOT&x$mJottx;TISE619D5(%r8MN`xZ%oCr{e|Nf
z%<6!4E%zXvNl#3AsQ=BZ({lwmPdfWAOTD{qeVTSNW8&+7i>y-k!=_L^u`^R}+N}AJ
zeOvJ%R_qu5;Mo5z#_M0<@L#J&2K?{iNB^>x*r(Go0BQC+k@d5Voz&US0=1Va;n>q)
z#IgMN`i~0xN(-%wpXt?DYqPymPM~rdE(zs$1O6rLZ8ORD^Cq^%VC=)<-U8XK$hsDK
zt6^jD?Wu-srBM<`US4u(Q8vf{GVBHTDoe5N`}l^rfWr7E&-FgJC|vUWPNIo}P$~21
zK5MIS-c9qg;U>H^3@+w6YA6nv<GNL5C@`%7CQa%xesx4Ww@=K+1_fTz8%06=&fdHL
z83_>EJJR?aRwe)w6}H7HaW9vefiy^HsY!L7Ie+<0A{;?-Ci;vzGw#{*8aIiqLT~vI
z&&CEXHPs}&g1>$F?PkLaj{q<@;CQm<h(Easu5ir+zjh+f&(F`ctyDCz+Fn;IeXPg!
z<Lg67g%Uu}%k4_`Ce{5mrzggpFD#xuW^G&$;0r>g0nLk?SJzhergpiCyN>i_rw-Pn
zRMiU7!*ara#p~)d0SWc&D~x2iGo~?*LmvT85K)DN_uY8tr=~n#FLs6d1m6bF45GO7
zz#qMR?G+Nvok=Dm10DWB^3KMo{iVtl78Yw&{H_BxH{H;+%tr12XEMvAz5GE1fU@RC
zIr`FA5gk329^&2noPBEY-gi7X+b9eMxeioZ&uzp5txN~uNYF8|d&xkRP2rRAk+%L$
zg`QWdZ7MAi8(;5OkdF}Fi;dZmSY@3%JD9>TYiYzU)l<h#ddd%I2RSzRA_L-T_<z)<
zCb)lWrSKR(B0T&?a?{lv^RrQ}Ut=$kJYI4^fC1h&xEJSoP)|b|-@g1r#uQ&E3mv5p
z^_dF<0#GBY?rknCT;M+RtUakY$am|>!y$?)JloDH8Ey}HDEm)+L${#4|Kc1EFpWoP
zO;BiT0sklOJdnp9tPM7cPFkxb_vz=EbHBf8ofNS5&d$bt!6QUuDrngfeY2ACGw-fi
zFlS*P^%7Z}=wD`JfI@btKq~9OI)or$-M@1s2gJ!W`GNA)+}6W&j?IBob~Ip9b8r24
z+PY+~Vk7=;mLSuNJp(abOEy8)gmn<&7HqA*Wb99<jJ5R6FY?nHBI62_c##iYE=}qy
zQnu-PqbQzm5Bws2o#Qsz;Un%ooa+eQ)w)<kx)BeWXBLy1@YHzO=A*l=D2xv|4bnFl
ze0ZWP@mD_nvw(`f&$`KWZhxQ{4SKb&^=(9^U8PmJtAK0Y8<)Y9+I$pa$t714ZkwY;
zku=tm8wb~wZW)3pi8Y_68>~~%DG|*e`k2bOkeBIafb@N8C&mYtNSSMw>N`{~+*Y~r
z+;U!MkkbY=`TqSc(Pcx;!#OA5bWFf~>=WY=xT@C2QF68I`>y9SS|=6l5LqB$oVTki
zTHl}VIx&=`V2pAAeVL@z@CfUwlUbt0pDriOc#Hyz%RB$A&^<*@0hJZ;FK+f!i^d(y
z%ATwcw7=Z#o9b3N+F|1@Q2(v(7E|?V{afB2Wkov|)!hsK8N4R(;GmODER$RA1=znc
zl|g^e$MnXk=?uN76TQf8PPZa|w044!loyO&sM0(RrPWcdC)kRMk&YuRp*E-)O&VTZ
zTj<xbBN!0Ci%pF?^oaJoIlwH@9i6I$9$+J6+9Knu-~6&T1b}W%*B&u%C6KJ+tIQ1C
z`TZ`PHo?ji22sG7$7as-{$2*VXkR^W!R4FD+A3m^!;CtxQE$=AI71N!t-fG!m-ln}
zqvgTaKm7D^S?IlcYf+9`yj;Jy|K&2P5(|gclCZ;QOaozLVXKGGV3E+$x6|M;+;~Jx
znxDUAa#-e(D_cMO4o9p)@W|iv;hSog-h8{tO3M_B7ftkG4^PDN?w(w6wVwChuIWQB
z#KF<TmmFEdSvlxy5_F)mckYtSY(baqA5WW!J?Va0g(8>ByDVL^H3f*#I+y{he&N5k
z&aAt+>4^FU?;h_MmykDEA}$v?(J1s8m1_=iwxodE-2H4pp$XV~^M~1Msfk#FTcU>V
zaBuKL05F>n_g#X8f3A4?lf7>kclJ}hINPK6o{BQh{L!18mpS)T{H3_O*4EaAo79mY
zt_ep!UZtgX@|RRIkiXaP$lFjg7tZ!&+za<KBjd^n*(Ox|`QSd^emp{<k=^nxzRfzg
zxyHFG9~SJ5?`<Yp0-4M=vDQsCA}T>A*`X_lGEVSlRkL-&HN|^a_*_1pE?ehyeD9Q4
z07>-96npV)#<i}47A2dWot=lfL<r7x4FaLQO4t0sFKPWzR-%J8jOp7P+q+;&1qcgt
zVQpGMeC{PA*oU<R!|G^xL)6#LT7F`?#BK&s3i~Wt$f6K@4{czywtRZyV_c&$3;Sus
zAJ)2!HlAL<A@{K<;tEOD-=%GgwLZ2tkrfkHu#H&M&BtEf(zAQ3ku+H2Y*Y8^tkRBj
z@UQr42`rS{#8@wavFY1z4dP!^1Gj0Mu%>Gq^F`v{&7+WGid9bo3^xW#Is8m;{Hl7`
zb#_uuj<6RSA(cyQTTtQg7k~bVJ~$aD=Bz-q;)rMKp~T=iI-mlw4-Q{lR;p_iC<scJ
zUbO!B$2m<WJ?8r!kn_xmiZ9iH2ijP}5AVW#C^o35s3hBW_#v?FcVcpu_WDQVtf9S8
zI`K-0mf#H-YAMoIr(v?En$a`KJ8u6~qhV1UGQIeq%?+gxbTo2v`A_J}VmC+ZV!0rD
zE{jM1W(_x|u}9s&V2Ek<cMC53(gWp^<%x-UPlX_%pi`^xl={iG+4E)FuM!c&?P>D2
zYNFmO*m^H4Mn^)W7;>S$&82yCb>YAZ(=(7^?$x+z8MxYw_xPmWMc9(TQrqBx@7cBe
zk`)QR2Aj?6avMwmZ*F4K8W!3ljMDCcz%sgq<~GsRl|R(KyqsH>HV{u3V}X3%9&+Co
z9}IZtXEgr4`pPRfSrPb_0Ho(7(w2HN*3wFN+=zm)1Ey@0l$4Z#6T~57i`(%@(-2q4
zk)5+h<kgJDdavhxON3EIP6*zO1h|F^%;B?BFb;g&TCTvUx?dM={+4bfG7pyE(iWA-
zV<RJ*^=+C{CMLItUK#R)ZI&H$Mjs&d(6gnkdGM}4c1vkg<!oOjjcXc<ZeVpn!2uIv
zG9N51B-$M)#OD2(#Yk;N=(kv&{gRx?u(9a&R4R1&kIc%%DEGrF10@Q!uBKE>rsIc9
zoh9flhYp-EXr&mCfwRz^wnzi#t@W4HYB_m$wt^sxP91o++$L`mLa&=x+Rz8$?C9NO
zO4u`UZ=eXZo<noZtCQ`blbZYhkV2mpGai~-d^;M}zuHr7Gs;I*AVOeE{E<Mncen56
zHC{q$1y3A%TMyPkE6|%UZ9#*w!H9ZD7PJ0~!hX@8^7u8dZ-AnJBbzpnkS#?w-%Uq$
z@{Z<9mgRwN^QSZe6S6rYL=c1aZDz(9B&X2!N5!h2xi3u}Br!w0%rYGQvv$;J7tKJL
zA-n0#5sqm9qES;($yfJWvgOzwiQSAl2zxGC%mNwiPdGg3!v*0U^!uep9;=738B#tY
zi;%TLXH`44X9?soSmBT?+6WKtgNU@iK!>PB&(20g?p3TRD@sm`I8z+%?I}#Pfrrss
zY#4(7P4;kKs6rsR<O+b+QQd!)20m|7;d4mlln|dQ&_ig?hcW4W&v)u?)p*aP-`x5h
zziG#Y@gQvoTNp%_W?lFLM)|pCD_!ei6Qao6*-yuip6+_7=D_B>i8rR!_J6-?r`g@l
z&wp$4>BZt^def$?<z9&Ol8S<^wqP;6=C9Z$(tj#=1rt{<B6OdC7DOp*zY-5A5iLRY
zeBusvuF&1!t*)=1x+;rI!NXe>tC4-~y%o2T?kwXWrATys!upu&>{$mBpD!TyxM(%K
zy!{U>>#OiX?*clJy8FJPPvq2fI9A6U3^}Kr{iVm2lxY)En?d)stjB8}-kCF(vAx8i
z`o0rR)btjhOR%(0Zm^zFSLiknm)s!;NTlqNx}M|2P$oaD_s(s!wn;aQ(2PQQ<*_9N
zhc`a<Osn}$a>kfp64z^Oh)H44Ur1?T&_}PfH>)kDkVz~xIz5la^@3<cXkSa(z6XV@
z$QW78TZ$9~wja`9vr0=##fsbL4z?Gc`iszDp7K9QM@G;Dl(FVyZMp6`)jM|*P&EMI
zZd<a^a68px;C=~rdkZjy1nhqU>qc(l?!ax5#8?r4V{->PtK&f0m(0kFN_ZFkbl+qo
zy91*k$VpWG?_aMb+DM371B^3w#kMU(-}4YiEw26WIA5xAzx7di(qnIwfI{_JR^B)Y
zMZ^*r>!bQ#xxla5ND!3Vfovp<MC(k255Y$7@9oa`0bV){wEMED@IXM@`~Ey9NkE<_
zU335QejEP%LKh#NR+ojwfjn$0ee>bxzh7D|vsq1nZ_C-{1lvP$n<1pPX#-#I)rB7z
z&%C^b<z_9~x~T3fh5d6Y?6r}2V&y(P|CZ!6e#C5{JD#Uhw2^$`Rz=izQ@XQ-g6WCr
z@?&^Y4kaeG-TN5*6nlnRmsv#*`)HTwW|o-fP`p(w2W5a6RX@K@n`K<4@1T-m-?2ev
z^XGSMU<uflA5xy{1_1Q#aApkL+I#szdQo#Wwxb4xD5<A>a%s;f6hk7l5ps-+bxfm0
z1yyw2Prxx$Vr_Hi3;^;X#=inZ%sy&uFo`yDKOBGTlc#%tJHO4q5t*^4Go`BuVKa}g
z7#ku1$sXTAm$e|m@-lv%7WZtv>=(b$O~ihOn+QU=%jJQ|Ykq%Duz((ZvdysbD<(Lt
zUFW@+V|r(XF8Ui(id<W*Xbhra3G@Z1KjU_Fw-tpb*WiX`t0o=Z?YCt;O2gf}-2q!S
z$vgGk@BTSh@9#RXhDJc@&}VoDeeepitu=ic*;V>8y20FualQ?#r8#Z1Gxsjni%`o^
zzzV?U;@^M;t8?Zvc~ErE#pD@}IW|ps+2{ga1r>Z00yOl>UBLBvxqLrCPvx=3?Anyr
z2bnRjR3@O()=(2<DMP91L?YQ1az@){o;C<o4P5l48>J4NM9aMjWc{p1>qNtYpnh@0
z&e*+)p{`<Wy1RZiG-H8Gr*-{gmVE<;19>5Cv@@k_MtYj-=sk@H?+-F-=o+tAk%wXj
zzHp;|#x9S)|8DI#eJ-QtEi$4W4=I>vP=aMVB96gRLyZ#N%{bHRp7?U*&Q4Ukkjwmd
zz_tHv+;Ee>3Ct@WWv5@hbgdk4xzl`bH)H%RcZ2sfmzGJ3DU4PW5|9l6MlwZ$*=E;z
zo!*L6@4~<k4#i>C7LBkc-Pck?pA%t>!mtsA&u(6cbj?#?7F8<7udc2{e($gjHUjJL
z>i*t4H<B%1-};eqpXRH%UTam93WMam*xw4N?)DUrzcK2(CGmgbwI3{}a7I4fu>tP6
zrzghr)6s5=L#Od*wOyGCkKz#!c|LU-iPxdKv9q(I@YKl3ZOHcWVpGSD5F3<poh@%8
zw7^zvMx_$qK0XXpo3u5q15MP7;ar39hgBx@j2>#Y0Ub_Z!5TrxAT{N{?irTn**s~z
z5ATrf<b?uG{M4B~F%B{XtFVGZTsPX}s5&8_zZ@wWGEW`z380zcboYrT2)JAxSwC?x
z(GvTUzl!-HnngacG<Ts#u-?Uyxf!6W*-#KzrXbA8_rFYM)9s#}x9kQLK3r?y6_G(l
z>J=;ps#m_`&Mg9`PtRdjyI{pO+a!`kvsl4DBU2Jg1yMsaUMMOwW&K(dYA(&PwOmkX
zI~K^7%>7o(vQU07veFI3jPPb=Z%aZExf5%ggt-qPV3i!X$#ETF4|m&FDczK|I#_M*
zsx_Nze0vCzYdL!K>}-%1)gO;Q;Ty>2o}0fy^VM!;YBMHx08~F*B|*2d-BqV#pGRW(
z;fsuF3}rLW@937+n`pK^=qzv2geDMtL`>%>V4k&a;U?4d!G~pxa;_V3gy{1kC5U2R
zSpvXdtSi&AQ9-jK7?>nFv)_HJUXZpW6yyx(E7KcG6k4Co5zoWDd9f*CgK|pAYt|l`
z{ykku`|Hn1W|5z~v%OTUOD|aum&BsYfBRPTl~_tUud_OZt_H);Ln}3a>Q^cwv1l`w
znO_AO`{RJsGy&u%gqvVecsLJsI-+POf(IIL)WY^3?|Y{tx7O*Gk8f80shMO&&Xp?v
z;Xuy3>!LM?POV~7BYv(m-K)g{LAi<85V{t2RhB3mY`13D2>e^JOizMdjC+|5q`j8-
z8|p|QQdA+8s$6i-KIi^%9-8w?P_>lZoh)gw^W29B&<$asK{+j<!9g%4QPdyGdL$&q
zzHcEw2_5NaV}GlsfBTZE-yQ^-yW!y*h@>3=;kq_B<_oPpiZ-vU;~#^sA_uYr@k@w%
z_0CJLiq#YX5y078!tfRe6-;J8SyL8iqk;}QN*%SeYC!=&_q2RO(fHdjU|4$*62?JD
zkhvU}+g-HW(0_}gm$Uy&=*Vk$N*s#mCU32STppDP1f$P{lErzPjSuf*3EEM-fk>$k
zRE=iK-bJ5Knl#1*^UaASWkWt1=mYXJ{^>p@R2CtKJ_gau<^np$%~tCXq`?2{EP<Oq
zqFcB<D4{pjj@ArrkYiHn76O>C$&<VWgzvC!wxAzMmih91uP+J6Z{u2nd1_vqKJ?4y
zJ9=rhH+ae^WJ{(3UExr54TVlbQ9Tq%S8|AtV`mdOj&W%eCeo@+zZNY)qR;as8F(q8
z5vB*NvHbI&2t^>1`+)6lKzz=@L+QV9R0=8D994Vb*}Psz<HX9A5KjUca4mPOYQRls
z;zi1OwSM~F<VIp1pt4NDiWWhpF;?cz*HYySH$aEEiqgiM*6ZXGu|>pDz&PGo_~bS+
z`~(=krFQ1PM0R%l)`5z)6r&7{%HV}rr~O$BvIyRdwIZSQXL-bT7e3E9l-~X<jS(@J
z`U746zwiXaf8E)Q|Nrj1PMtLD6fWJ66HGAQpax0`r5XMZeXTLcSRLDgd5_mcQ7Ch~
z1t>_c{PGrh<laJ4n<C+73Tum>Fw5sdmcsZ+nq7gYzTg1bJ3a72W8j78K5hEo>vdD>
z)W=Y8M@<%>ua8cacmLey3!b8V2(ah)iHYm$_xYJJEb4__tjJin^XC$5cAjVkU38CO
zG=2|$UFxxW&h_;)N+Y2{sd@XGFFY2Of&)?Vr1xQrW(Jee{$aY}ukPWW!xwq`JbXSN
z<h?@UW&a=_A+{~S07@tjoJX(qL!YE4p~8e_Wg(W>3q)RDV!_Xk?(`H01Pd$P<2Tt^
zSN<?beqgHO#Cl>Vt&^%gGBT)R-09otmi`y>9{+Sl|DkD-e|`F2y>r;sKl{`_EsIYk
z4EKf=rar(Ps%^7xzZtEcV%!|)P(Z)K9873YJ%b7k>wuZ`enAQQ$Q7BjNWPKI76kz^
zMBKi-yv&D`GC(L=Qq{J_vsIb0@uKw%!_{(tM#CQ#r{DZ6n;UKvclVto=(3SSC`9_N
z;T{BLSq{P$3gkgyIZ^V8v2((#W$*in)e5VUY%ovKMg><PwS5z<Fujpu>~C=c!AMv<
zZRjw>%VPnkroERjtS;y2LJ#Flqyojf2$woIM%RWCUni#XJIs?BZ$Mikmb?xm^0Cq-
z^kBC*h)2|#wyQ+NHug=~qvLNkoSr#PiT4C0<`Ry}DVs}^p1ua2PUSBfa@Qk3$huw0
z;Cf0dP>ngADP+2=msjFFs6l+#)UC&T^96m&fg)a9p|A2#>iz2KOrm{#Ij&ATBGob6
zV3RLdjG7=XNM07Toq3-#s`;=?{=R#=P5Y8)E$Zs0XUu#8ux(dK(`>CHXQrGejXZGK
z%@cu8%2bNpb8K!ROS%rNl>3#IC?eI%5<x<9H-jHtD8;bgB6GA@Qn$c?+Es!!HfSAj
z>}^`ZrC$Bc^sFMw#X+C(@W)<ew-up%{D`Hmwm)Lo76{bOds!{^<aH58ml;mue2K54
zt6>r=o+rXTw4&=tuc|()FNrC<AAN^4HIIL*$>sSRbXt$el>TVv@!{sS1ZuG_<S>N5
zmb0wK-vtlnnebdrId@_HrA=R&DS^iMqcPpgli%7jJtJgm!_^(F2{9nJ*F=X!Mdf3v
z&xhRt_Jc^Rrtg`S#SId4y75Ph(Bf3%5gG%|&O2;IrXh!s4=xYbTON#u>7Sbp{pc5q
z^=<c3QAD$V=o{yvng~QYRD$LTF;jRI-8(t%Lr?(Cm6&5V6UwmMBv3ts8tD}=$DchR
z51&jeX9xmv0Z>MIzfLv<va6<6?V7d1c2AH?Pj&#51Qn=3iXmx$ig%4{$D@7Yqv;c}
zRN9i?D0xo$&50Rxo67-VZ8B#pZuo7E*!{kBw8^j6O%}fY4!343JL6v&hL-K0ay=p$
zOH;lrTDOIk+r#_Jm2QUFK3Ts(p0WP$XMe(q|7XB>X>!rD*Rg0fCwGuK>cnJE`okTS
z<~vcLNndz~R-x6PkyssLkUm?LO2-T#)R<N@ZhE|Q(00z`aE10{?KQoB6tSkKWS`m^
zZYip@N0uG8Ram#QnMvf(X9$lp%ccPxr$=K1gxsBCg%C(fVN}wpbZ{{gg!k|NGu8hE
zF7SV-+og%}=sqSgWn6eadpmCb|1z#3sWPJQFoq&ptF@R0Of^j*#EOs)-U!zd)1sz<
z-!9g4mSNc01%d}#zQ+4+t5+yAGt|(bza*G6pr9R&wr^QV3>cM09|OymrXXP!5l%J?
z(}@qCczF#R0km7j0W;CYVjlQL>z_THE!TuUYc%DiQwjRt?Z0=42WX+iB<Fg0X^9v5
z-cWVP$TVKxM|_x)=L}YC4)Y$DRi2!YV<hiE3GZ~REZC_vjKaBHEn(o{7BzQ2QZa#!
zGDk=)uEI!0B#-uPyH_>H1R`z;2xC_U<JriiImjeTrw@#Yc@uXEOH-d5O9k_F*GX67
z3ziI{CJ~rm7U@c#a7%5I1?!G%h7mmT^4O-O-?9w7X^`tRn`jv0!k|FJ=Z$xEUd}NA
z{b~zISmqJxy@3AtRG%eXj1rw@&9`JDoKuIJ!8b@5cdii1;T;8oBYXng0*(^);}#bt
z9M9&ayYbNjMzs>e_LVd%r5>=y3mV(m!UZ$RLpwj=P1X~r5V)i>h`Q>FO$h+Z-|iKO
zZUm#Rg;wO!3Rx*G&C@XL=ZhqDJ;p<0Ssq<@Y6adYEyOSbv|oZKu`mytu~2q7i)BY<
z;@9xF{)#fM3amcS4@>oA-N(n~F5R+@b_}GX>b91<#y7uWdC=6{t@HH2;%=WVqK`p>
z-yTTvVmcSqvPnwV3;%2a<grMABNFcgR(<$gS=tSV@sfY@n#PLM`ON9zA!PFXrNz$)
zx}E9-(+ghKsZ4ZCxEV?A256m45I*Efu3}|uC|pQuaR8kbYv98s=+}18pa`b(pU1#V
z8YcMZ6Fx|77u;E_e3XZ<HEA*tLWj^`gh2EIw4jO3%(-?v=)8j~zhGrtn4IJK=fdo>
zM^%vEYoT?`kEdrwUG1I9id`2x1xtP!!-w%zf^~Z*d!2fiv&rBkO~u-T^jN)whCv)i
z*JGy2&5eIhW3&6q$Divy6n6h(Zlud)SbzF>$Fm8|O2r_Udfv@VtGOghpur)ecGsdr
ztJ>LWU$A12_mB%sx`!$p2ZP0{=S5SC!WwcA<Iq6+<M*;ztX;I5oL@<~2#ApV+l)C6
zyJNi3g`x(u7aP#z6}kXzrHQ7+Yu!hRgRP%`t+@Z_LCn-#E1Wb)NT-%V?ncdjgp?i{
zZ=wl&vV6>~nDjJc`vR2F%0i&oW(ozsA`$JYSfs|`=HQsVAr>oQt`_4k#J5x7InYtr
zjQ&&s82M#-3IJN|AmPdJNRtS@G1+nE43_o_W)0U4qll*%1Np*{uutM#>a>xR0X9q;
zH_b7u0-M_T$8IyUw{^ypSzAVK0v(^Yb_C(;6JyRtF-@q-dxRn4H(4Z#U}*QhcMBjr
zAui1Y>=Y!?DLb1KRg-V%{R-jS4|*j5YEl8}w>3Z(8<nyumO~;cC>m&-ksv-q^k(-c
zrdSX<y2T~#VeI_^_g9Ea57F;vKw|(}(vHJzbnXOvLKIV0x^RoAv95{nn4wv$*O&Cj
zrn~}9JjIYS4O3C$4-Qv~LEZM)XY)yJi+@rpR&IQ#eo_U2tK>qHV9+I_9HJhb+#25W
zy&%FAX?I?;N!x?I(x}^e17U>`ogFdmdP#cdG@)ObZyod<%kV8FWaI~HXc^1Y?||C$
zZvHcIO^%HIGs>gi8z!AXl|<@0st7JS@wx<@+uzIub4%UV*GI8Kq#_%KmQtF;qjx;%
z;Ed?#gTH!BVZ~l$!WE7m_<<(YAjJ$~3%-P{>Ijg#tR;yL&JKuWXVb`c=IL1`ct~X*
zG5sQlCj4fyj;&WRn%F;wwf$RChmn-?A$ame@*Aoolsu=iGQJrKg__WhLM+9c%mr>g
zpab{FkO}w?aX7+SF4J`8BK`f&+>SZq$B3Q=uJI2~1LXcNc`F@{ib-DfRzpj}2{MGG
z%;T|1S(f(cvK2%4I;8ammXu&Bk&P6aL5@B2GtH!oeN<FXLW>=f{O61?3ao|>%MGV0
zC|dmvZDX+*+cd}FBberQ^Crp};a>B9TqxqZfPr#MksyiTqQ)2dyt@|Gz?b<v!SYwg
zP&e5XC`f1m<e%1RG9gml#9<AKnQjT}WicPiz0O^E8s#0d7}?oqH;6GyG=6U;B@<LS
zT%KihvIgmZm#$*$iF&2H28^mjcH?2UFbRM=IpMO#NAJUz87!74v6tJuNK(wy*dzud
zRZk6Ce3LuFjL53=fcO{T;)DqYl2TJGJAm{=413G#Kc1<3PN1dz<hJ5;)(^~<m0+3}
zIU%_#x3OnctvLGq`4_&Q1F7ZYh^n@u>sT$1U%8pJJ-7bfGGOd1{>R|)x^F4Ak!*<>
zc-*<n;yRLQ2!dT^Olg#^mXkT6;n{S@DX?iO^5@GmT!mtD4w9X>z$`SI>A;6$Jj~z`
zX;}!7dl8L2)9@tv`GKUSL<3)8<c;TM2==K@yFg*=1e_R^equW`5#9nT;H~N#MniRA
zu658_6gpsxh@@#Gr=%VPwU0<#icg{U*;<ODMUKeezh1n#*&SozG>T1nLl2FMlW`kI
zv0TAoQJb*>yvkC&6!esiqHj+Tgd~(kIM5(}3!2r;+V((mxt2?<k~N(%QBnF0qjXwO
z?MP`N1U!MtVo68O6wYF0oSU>b?2-!49P>VQG008PmKY7KxVVCvr0i@+^0nGeuvjHb
zQ074@#OC6*tIZ(%3#)YF_m{QF+e4ouYz`gHqBV?7F+H23NF{bL7`GOM)<T6xc<;fH
zMQ#HIkec})`iaG&p<a)*c+fx|Nx^g*`q3YkMVJAfVnxFc$z=wPjoty1oqLi<_}lEq
ziVy(`Ys5-p%aZs5m5UwuG@8m=aJm-y!=Tkywyq*?PC)BCIbsH4RfBQxVwRzX#s)N0
zlom{Z_u&u)8EO!#<G>#Dc#nFiNQG58AnY^&_8s6&xa_QZnr<J2uuXDKe|JNC?{$1{
z#_Ugwf*A9hq~0gdKF#uyq<!f9IW4Cxc;BC$mnI1q5@;Z%SoWj&hT}aCKp7NT2TVu*
zY!XJ2+KqHHzE>z?(oh=lRl>(G@yRJL`MZdpLvlyzEYsOer`rUP!(GrIFQBOlI%320
z$|htg$H`13RdwPSq+2vBQ9(L9^bkc)>Z4^!Ih_VtDQ-{@gbrV__Yrcs7_%9Uh&H{T
z(PXd-;!nDNB9o@|AO1LREyyt)%GQGXkBa1Bng*`@V*u<q!8qGww(5Lfn3Gh@1-~MO
zW1p(b8X!$e@(bua^uS)w;A|T7x=p0Y!@XeYjynCM%kmaj0+*qH)O}tBN)u#C^Kn3v
zko_A%&?~1=T&VC+5qMGWa=6nW-CsRyf6HDxu?*RJ?k~6=vUniDN_Z!3-wY?~kQ#up
zthc}dT)vU^W9T_rwxmok!N86k00@nr2x6Ys5#d}|ZYAdBl#%S~zQyq}i%Id>gh2}x
zIO#(I3aEs#QE3FA8o=a_G`aBjKw`Rv6WJw?u}e(A{I%vZ2?4l_(@!|Q$a&2)nc(Tx
zcZY~TR11X!guPU^tw$F$tgjrq@Erp|y+|aI1db58N@8?K?k>}E*K3ikG?E1)-Ndj9
zR+d!wv;|5iFg9$I#JwvrKn16UbQ|*m?cc3;N7#zPNhEJm?BUbHFQwD2F_H#aO7L`&
zSvT>ma&!_HgDi4rbVLpl0P{%dfB=ruP+Ca<Nbqu>zJB#?2+Hax82cT?Y!b?`iOqu2
zsI>^-pjTc#`{rx}@IR;UC{JZr?}MBG#ZhyAnE}L@Dx^we5<u`C{EOfXBLjK;$Bt4o
zb^1E1Wnp<wSGAF<f~F~lUx>Ty{exhb%H)|R!ZE=7q%O!NJwS--!#s-dRMTPSN$&9w
zF+sZUDxPfXBvK{0FV!&^$$>>RzFO^>huo&#HA1a&IxL6R07k+hn(-hee$sIjO#~7B
zr7WyTbpqJ(YJF%xQQamm%qL)sB)~EDLmp)uCkaYo2)KHX_a%e*?Iz3Y@<<fTzUaz<
zc?w@)OhazC!Hdgz5+3t_r1NYVuhM$88^w$&vul)2+1WZ~QPAMS;CO7*N5Y2*fox}9
zr`|pzt-Iqn3^i~d`v8i|zrO%gWbABcHi|wTv3&CBCGrKe%7l-LAeiiAu0hF;0t3$e
zKsoJjBiRjZkOb`pkBu^I=mH$YV}c5&*KDCcTXl$0y}_<C940g(DbMWyk#osNmSa8!
zC=8}$LE3*QCWu6<ClMX-1=Mh=%n%XkNL01r*cVdz2O)alo(Po@E;@+dj(fqMNT>-(
ze>TZfB9i1#4j%fMP6(JQAh#8{Aj~<6^yr)st$eVt2vNhzC=sjMB|s45P!_v!ahAZT
zA0S?K{-0EZ%<%|NDGAF{xyi*+u+YL_DuKV_b0V2T%x*Pe`YPPPfN8heNvKYPvXyQ}
zdxPMzd92u;Z|Lvg@1G&s<1&7){w(|c<V2Xpp@>FTO==tQH9Z&_k*?o@U7ka37Q3HL
z6szAgDR7*;`iU8^5oJ4wiI~|!zgJY@QtR>m^iT_2?jQR6kG4Z5LSG8y6cmBXM6>Xw
zze7#59)G$mE$81Y3-t%JFA(T^{;gUb4W!ZGEmU)&Khcv^=qd&(-juA@$ukwE)N@AM
zWhJzNyHL;L5H>R->~}6HL2z=3q~kq^_ekH4$;5flvPg$*L2I9|=L`liszoeoGkG>m
z_Rxuax|T^sZir!YHq^!C4uF=;9@FOE*G<HWjb-WMc1?xB23;b{EFSGeJiH>?`Iybj
zAyQPOU(zTRO(rn2RygTv=Y+tGqtL_IDU_iy^?Ud3ogUOyjHr;*Js6D63+42OjbSnY
zQ<65V@@kkBq%^_^wNNh>gU>?wx0c2pfVqRa@PZ>i(6WHWdUsWv`K69D9TS4lmjgKc
z<l&p0%NjAfphP^-FISvtR%+~17L8a_8Yi(VWn`M+yW=*Ch9yZBhbc5+Fq&#8j~+r_
z-WaODHzh&W&cJD`byq<yDQ^LO>DjBeLPNEvu1w9X$LqzFKv@UNVFWmf?#BqU>0^}g
zKc$`nADCzfn0T>65Q<b8t|N4l^Ty|rQlzyYjxESv;s%YWk8()SHzs`a&h>-fnMoj|
z#`3M);%b6h(#PA<bI@l|c8Nh=j}5phcdEOthtA&X1gQU}a4(`%+WWK1mX0MYB|Th8
zAP$xZT95ICn*M@HkiI>U2jXswq(pQ@K)%_C4GpO|z!_<_1uF0c8TaIQuPuCK47i9C
z+{5JANiZ&Dy+mB~MlH@IajLZftJp|to=o2qhpvMHh!tM$>A-Q!0Y1umkYNDJdMOIy
zxHXG}12lt0B|IHI2knqAjdx(stK}O{LAg^WEKy^!vq|AYQhB037-=SE@etDJgrWfe
zbp+65`2#j@P0C{rQL%Xy+FMBs{TOVvta?mxKpHglVq@Ocke0BSWNuxUGbHwd(IbN|
zYz953YY&jaX81zX4!1K0!2^X_V=jsYRI`zXcqF4kh|5NO<qtB2X4vSo10oXC#%uy@
zi@4M*BsK+%l`uULu%utLeWfTDN9~nkj3Hh7!vpNm0UY~61E~$3?qf%YC#72e+RH^^
z^+pk7M5q_q&0gHT<kl=`F>PpW3w3xB#E`w1JTt)&O)~YDB#1!-3lebZ!+BI3iX@<<
zc{BpU#HV0-Uyd*uuK{I6ZX)WBHECHG`*;Xet^uRVYA}i`nElklTp#I|Hy<y#&-fIw
zn>S@|II(tn_zr;M4f;P!Vd>mP>-2u-g)r#h9*qGeiJa62IB>)<P#2%rBT<#ENI@d;
zY0mdgEI;XE;O1EEN7}>({Cw9LhP)mKozu$SI%5eMu}kp*cR>p`TjQ9}ToasJb-0-*
zt?Gqt!6PN1H--+*85CMS2nQR(E{i5Kskx8rtM<bId$%%!qd0=8Q#W#lv4Hi5&FHMv
z9y)hHRsA3c#vJr^waxQU5$2%N88he#;g@y|H0?RuoGieyZ^}f*Y?Rb%K<?!rPwJZI
z6OWKANdgX<&$e}>C>ACA;rG?}1Omyy4~_-UEnD-f;p#b51AUN#MC`aD>{D21y&!UI
z|F}78`-8{eAM1_~%Y=R*NMOiL2vI{6T>VX10?;JRxyf7=qmO*a<<XoifGQVt)?(RC
zn)kqWc(Ku;)+JiJad@>z9Ll%`nr4K`Y*h@jX3R)8kBA=v6}?nWozGf;)XVL`uy+%U
z>UQ%94APOM7gOEHd=d53cyO|Cu0pQj3Xrcd;3OA0r=r}G0ms5)gWa$v9pH;n8cd{N
zxzy%P<dHO-sj-$zXMQ60&omiE13nmb<ouva4a{e92Z2RQ@9YM-vPgH37|QH(T5GQW
zAzX9C;aB0KU7gJe6OJS$eZGWB9hyMr@-Um|_@K~!I_m-@_@SFL5k=zWo<sNBFh_aE
zGb%c|0OhO~8^Fr|vG+jNJLHM5&YO^(Z*i?_G(<=upzHJ43hY!wB?q-b>*d3O`qCi9
zoNCQb4CPaHSknpSs{-Ji$HvJ$IqJ;^{b(AnzjO2$+bqvHALI4kuHF3#hsJq@2D@#e
zkp}(yx{qTxlr*TVu%@#TVGYMNHnX$of}|c$)*F0N+m+S4f+j6&`A-+8y{;?7X@$;g
zE)lTQe0aQwweBn?Lr_zOIJQ5?YE1y788q590F_Xf^TT$?H;d}td3L%Z&G@vq-bjRI
z_DPK^zV$$p-DLLz(>}#@B6D^e-O+q3@@!4poy@qjK_`ISo|Ia?m;-cK>IxE8cvnkx
z%HTJHz{ke@obxin-426rYw6)ZSp>i24m9v$GG!Ewqwc?aa1JZ-2_S=qCut9=2Od7Z
z&L$qS+8+39nI1w`o7ktvO4>!Dp>uFn?Q!3-w<RT8T2eVqL1zozXa^syIrQvo;~ayb
zpY&hr`(aI_Os{wr6qPtaC0%;+>&3<8!Sh(!Nz^V8-nB!^<;_Ey8KKc78uv$3Ym}`W
zR^>n|Z;UEFd#PFE-od0RG^$TgoPD6xgcZF@aNcj!csd=dKeQLnM0@Y*DJ)SU3A;Ce
z;f|<;NFhhv>Hz<~XN~3vNCc_J19uV)N(YCX`wyIw)CLGR-6q%Yhw0h*EBvtN(p+oE
z-%I6V8|yc?Ha7i4-G^!#_YiHL!n)WEhS|fD3h%ar37D^F@dId)qf;*TB2HPJ=s;Zs
zy#k=KkyG%Q1(#1DzAe=o#Q2X`vE%S-GMk2H8+8rFlo#>aQ<Zdv>aMew$UE825JI3_
z1<Y1=1Tj4&IdqT^^d!S*fv2G2oK5YWRzg&C<W%)0Oo-^+TOy6qz1V^?(?$dgH{oan
zIvy+6_8@0Js311ZX<X2nnq!UBFkCM<Q66yQtr-Sx!{!uX;IK>BNp>^qbq{eBf^=dr
zjl@IZkEsx9zM<9N^B7n`3R8av8{(n#mE>+lX9)^h1L{pIlI=v(tAL15b~gMaA#cI5
z1K%%cE({LFu+FIme44mCFBDW>cY6K(T2kILJbUGU8Gg}(bV`Cjr#>8ZAMi$d&4*@;
zxI9w#(2(Ql#B=FTPuNXa%38<4iWq)L%n4CKT+Z0s$J7!g2?nJ=BHf`E&n1)u;}=5m
z7+#e{)te0BFpo_q12A<y0EEp;Pr+c4u*+bkh)$STJKVjf7@5J)w^<g4PQ(F`tfjLu
z16<m4Yja4lbF%(rBlevc<AC&Dp3GfnSTgb<4v&1rv?i<p_?j_4?>0VM=w8ZqqjM4{
zFH$e_j1b?G%0)Ulfybs>wucMqA&k?83jmN%ruEUY=2GECxX?%6{=gZbnJmAH=ddRt
zKVsa?8ga=8X9FzRW_yeTPsn&nE_23l*0eIsT_BgpA?Gu}S(heWn@Q3P?R;!rFMq<m
z^TwJY`AhXfT^qM?GQOBSbJo1I5x<C}d945K*v5J5E^%XrRvj%We{Q+w`Ij><8lJfD
z!mv-Je0rsfiuS-1`vvV!<Ac>w1s`|Hx+M)s`{(QF>D?`EY2fqaPiOvcI<v0V>CT&1
zEiI-sH8nkbeSO7U6P2Q3VomMsBB=+(1qB6L21oJ7peimU#sBo_(}F=?56P<R-rX=h
z&T)2jUNZljqod<+)$FkwzP`S-TUW5Ug(@hvUukJ+(K9e;e*b=DwWV}!ZmzGNpHf^!
zUQv;{l(e*sn_EzQeSJ(&U_e0LiLH4Z9To|RiN%(Q#pY5Hva<gD{rv#}0S*2Ak`WOR
z>2kF%U+xSF4leGn$6F*goS-vj&a}6;H+=fENl{U8qQ0%7wzlxtmYmX3&8B7~9;?ve
z?6+?<#Kgsmk8K(6yJ>JNUMDFjDf`$KrI@nZoE#;cD9x8IUv8F`_Q5Rbash#+&d!42
ztE}$D!_5Xl)2E@f+I~O^RV3p0pQ_N$rPu#&|BRhrIY0k#<=+$r1hE<{?k}o8NB?B_
G+kXRhHtTNy

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/images/missing_value_matrix_example_0.png b/docs/0.10.3/html/_static/images/missing_value_matrix_example_0.png
new file mode 100644
index 0000000000000000000000000000000000000000..21799cddfe73821d7ed15fe29b805df8f2e1879a
GIT binary patch
literal 37730
zcmeFa2UwM7w=KFr(OA$VipGk@r9@Criip(2SQe<D^lk$b1e7WrHEI(3LO?)@QAE0c
zbSYM(E=7uTl_nsdAib<R=4bxB|8viN?mqkM^W3}7z4w32kHWXU@_z3-=NMy-`SOR>
zo*lw77tds|Si+p0zwTqPgz(oX`QJ>#7wh^8H+)fW+GgOSZExx1dceVgwflh6@niN*
z$BrIc;bP(7c+}obMp9N%X5ES-PEN-iw@69Z{>uT9_6}B3C1JnvaFQ9vcN#jfSj!*N
ze*$(domE&YE|2r;&pIb>er#}iSgD(%I$3SGx#XKafBL3uO7LAX!S&PgPkp~bwqVzZ
zo!!<)t3&)vMJ6nw6<SgY1y&cw-u<gp$4F58*6#{eH=mmF*NxLtUU=^3Pkt)q_$?}{
z8S^};B6_9&<T{n`0mH5w-L%nz@jP+=;#LRT3(NNx>wO)9%-=>=v8K{@1n05n8)~O!
zumtcmB7dqczOc0R3##D@>!%F@E9mR|8?0~X>&#uOZ|JMgn*UNCmy2~0h+EWF66ANH
z`T1&2m8olktWBG!GVXMLsg|*Eh-;IVJSVxqr7qH<I6!zy-u!dZHrmx^eCcV(F1Mfu
z(y6$y@lbiJe&V#y*9-R3cYfL+!8-bFS3<U(sYl6;jUDBY8bYx&Mn^Vl-`y2mw`ipB
z;+<RH;FxgFcJn|<)AD%Z^qG27aD>((|IG^@{o^zOEAXxV^avWHs4t}R=;S$M-VBnl
zvK;-=fiHU&tTWK+;6^->wXKz1Z=AMkY_R+F-Q6MA)g#pdAN(@a7az&rx85XUgWsCn
zMIUQYBur=O{Az1!+g27DGFNqcL%dOH(YYmdH`eT4%zJJmumZ>5|FzX&MCP4&w2nGX
zC1D^U8z(et!5tGxF^(lKER^H7#^Uy+P1dp!0z$qxJpcRBn+hqC<2JPqj#iobOgyly
zOWPaoeOfp5_`AoRUtaBS8|zL_+5hNtNtm*tj8)mLx-?q}(^`km*&_I~!CxJ(qpDM@
z>4Wx7X2S)Gqi}(vO}Solt}GiF%aVKhw@EzjHNe69|Dbo=(rlY|$s%=LMPQn3U6t*a
z?XKRZ^O<R^@!-RQCOo~-NWtPnoW{8~@7OM}17o4H@L`&?aaVD*_5fqM!XT@#AQi9C
z!~Lc5JR_TU|KQ+Yr=EHRud%_>)qy75qp$DAmn&^OKWBHej!{DRt*z%1!sbrLNz^Kj
z&pdwi;v$(fJC?h(9PG^*>&afE;Ba{R<)uO4lV74n8hX70rF=$;g-uq{MYpYB#YJG6
zMVaS$chsa<Wx4i-Nt$LIe)srnkdm8&UEajt>?NDlX-DlT6_~#C>c&IQ4`aB@BS$93
z+f}1%suMIGHeq7vE*8bfd^=a+5xgfxEz0k3G#>iAIdHx;A-kt2|I`#2`^JYieI`d1
zZ94Wwyfm{lz}T|+lDt{uM!Jb3CJ(3F|7Ahw4=J+KmpN&r)mq203s+rH+Sjz2X0(=?
zV7_>Df@wCp@TP*JxXBFqUekhQZ6k%tJXdYMcuz6Eze#wp><8`Xo{c{IiQ=1w_BQ=|
zW?KC7qS)7OADz(__b*SkZ_2W{FlJ-ol*ZCeT4?UMQB!roiF;?qmF52HDXIpvcB&Na
z=+(*kbF?ze(V_2!x_;8H?V+w_gEdy+>VZG|f5*}bGEA{-EtPL7X>e@{)sW0&r>3TI
zxH4s%5BV3U^kg*my}ux3*;x@y(_>SUXaC34YO|3x`Me<EO>g%57vTNu7an@0Sa>mA
z-1OPv?mxuBUWoFC3zi<w7x0%nEB+%ZP7trO^hCk3^rvG@{K+B5ioHAH`;_PzZ8SqR
zt;c*XZoZ-#RxFvlPIat?=g?OumiXn3pO~gu=fqm=yK!IM;8F6EojWVm(kpXo4-K3c
zYVt`kK4&O1gBAN`j^f9wHVK()a@+@uB2R2;aC*Je^V6e|_Y3oGU=oON%-mZ2>v8?e
ziNQLog_}1Wiq@|6S6Aq`<ELkRd0TVBjOXF6#Fm9D^yDbY`VO_bmTgjvZH%8++%?O5
zXQOv^xvtvAxIAxZmt&E!2F|$)_YZu|(OOofAXek_`f#W-*DB1=y(zw3Oiox^?^#Jm
zxKiH5yg9K4%kS{zc@KRi2EsPHGauql^gi<Forv}N^2(~!N>x#UUX^5?r@>%t*VV|f
zfkuzwNe`pl!Sb4EHFwK(W%pou9Dn)q^wwGC!@qD34}Po(+I-@mH-D_Dy-cyU<l2tq
zLE#f0t!nJ^CiJX7o|-bf?aiSp6T3Q_5KotS55LQ75A$&N^k}-(<oL))nQN}!lsTJM
zbS36Ziu>ICvFpuvsMFCy9L2cgAb-jI11HD2TT106Oog;|drGnR2}wRuC7~hf46d#-
z8U8%CaC~Gye(<zVc&OEh>IEY$O@3SFD9Fh-o-}Oq=nWrfmEslKWee}}Tce@EcYgOc
z(kCD)+*|g^Inz*lWxu|g6B-;G&{6B`_c5z0SK<BduU{uMXI=2>DHPk$a$S3LHOG6R
z>mAmq{c_JwLyI<j?A&$Z(=kil<WF7k=?6x?C~PQLJ~k1TT2-qd`JTUM<NJj15uSYO
zvxTBO#omX00qcz|DWFV_^@iK~jMa6#NotlZFz{0l%9!c&;pNIYyKLJuWT7vel@dFa
zp7`~g@REQf_768EKI~JUqx30%_OdNbk<ZO+;!^{%T3ittiZOH{EzLu7=PZ&w9NFfE
zB^@w|ka)v?F=Yb-6@>h<qyleMPG6A(ul3P%d(-F>3nWc$Xh<roZyJ7Xm&u=OvM9P<
zjqp&9SbW~CBQnZyVqjt0+cW7eFw-+k4uyL3R67pVoVWV;=6v6y>Dn@`JvVm+f7$0f
zRu|ru(d<%G5v^hNqoUX77?#>liEEzX286e6x)*8Jo_f#Wcjw)(Ok_@edi&+Wt5sK&
z2j8fBRmq)Y-T%{TqRX6j>-_TIv$GbqJ$SvR*dyGeI(u=bQ#r?Z<+~TxB+{298mHT7
zOdz`!cdlDRk8}|)bahukogBxZJGI^Fkyzkd$*6Gt_*iClnmL=3<<h`b9e$K3<MiRi
z_-OSLtl%b2ie+j4s~w_kicK|AQaKO4C_l}c98jQVkF;+(<50NzNnc%)3Qf{ndhZ;r
zeB+I)5(&d)2g5_<?d|p`J11UTHl`K4$u@XmaLnB<cce{e@XaB&mTNm4-kn`&8R}eB
zNbgr*%Cwe&YIE~<ysW$5vh*^i%vIXJk#=k=8Sl{ai3wELf}wM+G8E(VSspSAoP)=?
zR6jX3w`iW`_5K3YTs_x#D_*YK`#&7QPX6_<q}}+zk)Y<wV+Xi&(vt8=r`Iz}RS!JQ
zsCRm8!Qqx}s@s$|*3jhm>5*8wV|bT;nDQ8&FjFbebg)47XgRyTomYIt=i!%>sbOA&
z_INoy*O7tBzI4fNP<9{R;ZkD}ZsI-CP~+A<$>Cx^1|RY#v%}p6v$`Z-%#s>c?yhxy
zAuO*HCOYxq`O*_lzpFVK6`Bmd)AliiSLUaw5`;X}g6PIWfSw52IBo9on+}=d(P#Ef
z7hZfFD5ToV!}jcCt*j-&LwZjZzgE*coRj8v3XdJ}!<;Q2p2p=(p5v&@d1Y;56F62=
zXV2GNFqyY-)+CQ_66n&s#q%yNF!zi9$2|UL4!1pQi66qm!9SX9bDVigUF)sRWbTW;
ze*5xhBD?UkP^#Nt&8zS%Rhz0E&avNWDzx&8tBi+CJ`OLjeXzGoq5USi&^EmxAV_9b
zU-IY5T`YrEmCPR#fkXzR3$lB2L!z~#)?n^*8%Y6;1N7f^>knS)GtOso)@X*^@aS2T
zRnJrT{M4Mw4zU}}JeJ+PN8_XX@wf7wwTGUMTl_JRJKlObAmhUazgvwV_PKr09zOiB
z7qp-_T;;*x&V4qGUPBFj^h$Ubxy*`O8*zdC{@LAWb)B_!w&|uhB_~Sds_&Rgo?LVy
zT*a%?f+k1AJ3RY|n*C>X`?0Id`L|2LRqca#B_Z<iers}WvNeSH+{3Z)F1s+j{n+!w
zCJ+5Fv8gem;QQWGdw$|;AFI;f&(R({Rn@eF9G;3P(Cb>ok6P-{UuwcJ7HJ8+b@oyt
zYS-j~SoeQ9H)mO}f@9mdRGx^w$u(dWDNb_Xnvlck4K8C96W^`cUNP}R<;cqjo)W*-
zCb2a-D$J;J=}^6+rewz3(`-(xUc3X+R(yUGjb6-N+>yikKib!D?(T9^_8ES1)j~xE
z0m8Za@-juKL*s3RHu27rO^zBW4<1+)S7|(~zEhZYF#7B)RWE}=kKUY=ijly>RdI$A
z117HsyW7M(Iy1e!M21(g^88XR(7RlSZJJ?inr+A;8Oy`<87DG3?uJNPSKMQBcJJPu
zkl7Xtxa)Mb?PPaqb$OzBp6BNa<|Pz#yVILgLKS_+mkj&sn-$_;VRiO-Id%h0k%4Bx
z1QG_kwP@gf9IR>oP=EZ%6`7;u8kz6T&2r2aD2Tdy_nCvTaYu@v%A#*3dt7}qU*9c#
z{m?DBQcuGt0dZ=;#ITtSI5*VjAw`ovA!o35^<YO;ym3O_<S2m=31!}gSGQ%{zkFET
zXy1_KoRIPU&znx=<(fT&vld?gHf>wdv{|bCW`F9#{<4tF=F8^oFIH)qALI{qD^{g8
zA&F@$%T7z%B<j7no3ETcxNj`s;<ngXes{K>cTQ<^ZzzB0*7rw4ZXC<lSE7aIGwCRq
z{V|!r7{H6+169USrNMF<*)HA5HI^Z*SGUe76qc{QN_Y(8KBQjyD#eO7-s75Aj8_~S
z>QcLQiCxA4qjWpu#o)N~M)#USSClE{wN>hyi%jCK)dU85eSY0kb2x-uXz%T~7YID(
zX|9~y`s8=#jM<#Y&sPcpxAa_)Qt_{?9igaYJP}>5XWVU2?cEl%H`Z%h?vjYF2*%LZ
zA~rs)$Y-M3C;rP1z}fM2x!Ie$Yg3D>a|csByKT&kI}|WTzRzQU+!aPz`uit(MT3vN
zZY;A+pEwvj;W1DvLF+=_%uSM~EWajv%%u0(;Mfz<gjk!Qo}9ky1%Y>5dvnT@ExJmA
zWF*oXNAqetdY^E0T#OwKSqiPdxz$c}Cl#!$Ie4Mlj}6T5dEc1#Kx|W-;?3sAvowo#
zi0<a^3NKjhvBGD(x#0Yto;{8^{h7Q0qf!wuij@b>hX$|_hw@tciu3%C(j=4ks{9e2
ziED$i#>2e3U#awbgJ_+iLb330_Q=~a(Hh;^BW-o9Hs*>loW8zdUQ3rb|4O}Ed+H)p
z?_*(}4u`!5Q}}>HDdr$@SKCT$`p$@&nA$ssd-e&{xYUJm+3EET7MC}_SM9rCKK|qF
z?U#yPYpRC6dvd<LU6t>KC>wDs<K4NDfkYou`&3z%G!_xi`6l5i(=EH=^RBjsi)NSP
zMuocU1$7HT2)3Yj2T+{SKJ9^Rww`yNUy~JL%)Rs0s(RY5f5h{gQQ(jNyhz2<z|6fP
z=%!2UQH_s)+hgvrkx5^lFiv2P%E;-PC!YIS4BCK*<PPPS-|^wEl0NpP(rvV3M_;1{
ze^-Co`s7E`LM#JKr?tFT#oJkMxvR>f)VB6P@#?_(YXr)M8iqnHit=|hx_8ABHSDfS
z=UIl>1~le)ST%VK?dDHTbmfFSS7#K5mpg@*E6JXjKG!rM7ZYAH?Bv11^M6ccFLSM5
zuh^4OH?z7T#j2?_%nD@l{*#1`N}K9qc@r}Ow@&rNc;s74=WT0O57g?d`i-~q^Eae*
z_*T9jY1popHFf{Sn}V}((0>(C!$yzMXnYTD_Idwq<i3k_Wbr+H8@aCQ{hP8=8=vQm
z_1wyQd%78jY5PdCsJRALX{6=%n-1!E>_XrS)k=Pg-&k9(k7$s+XY)e@pSSEna5RVB
zoV>!^vE?C;&YZ6@j+b37sD?-0pE`^SG$wjQK?dPJ{|`zQ6uNN|mgh14#B>Y%=hbP%
z3-juKI<NKFVBTowcj1|vPJVhhd%2R+z``B3Etoa<pH@QtJt^w%y8=(DjMI+PxaVr~
z*y_&7slK?;eCrd9mg&qpKPEt=^gp40{fDH4G=<(g{^abXn>QdSXk1vZp2Q;hC%7Zu
zIs|Lh_x;*H2~&al;=#IEzH*gNqa1)fB?lV`y<A(h!?NYYwGp7q;HHTl*O9)!yocqE
zB<qNUI_*0*dr@C>mwoPtWus?*X}xo`slw-{^Be~%^`kiRf;Qke`O;Q<{MMP=V9(-S
z_q#4`{H=~wrb*dpp;_EJdo6wv%%9nbRW~}&6&R-Mao1z0htw{j5ruwY?Spmpy!!{9
zNQ3hdkw!+|mDc1v<{#XCUUmF{>2P}UWyQ9*l(HgPynoCSYvXE27HVrM`vXc!l78kr
z-Yl9}b_K$r+NvR*PZczm_SWW4_IBI=k%Vu=t$OM+*YfjLC&|gli6mH#%wS2}fmjj*
zi2Hr7sLPuJnK+5`@wfQ^MpEtJKHgwWX^;CKenIBOe|~K9;l~U6K0TQmr5mfq;hN>R
zxB5<*vlA#w+U4V$@h?%TrJoB#!yzkpwyMm>V4Rh)GYR>a(Y(VjW5dz%!|qdk;|lL;
zhMQH}f&L3g7;d~|6@QQfHK!miCcvgv;=GW1z`#aoc-{fEwYBU*U42vCg_G;cvz)t3
zoGW!XTzuE$#4`~Ixw*K;vo9Z0Y_%oDdUFEVuP2*$r;8Q{2_JiOS}16fZEaMU^%00*
zLJ~$B^}r%rx@%W+kXBP3^8$)n$KTEM*~uj)1;){TaI70Rp~gBkp0tm)xjw^Ny(jy_
zqjdWAkQ$}ZDCk+RtgG$n*2dkh?{W$*_p;r@IImBNt`I)@=yXeK;1cgf&D<gTYnT(&
z3-;?>`4?g4%9Mv91D&ynZSm=i>fA3KudSlJ#=dm;(E&7*%sjeNj{zb|D3S2=?8|x8
zIKP3akU&${i4DNgxaHj;lE0^}lD%_xx1Uel8-wq_TJ@?7twPlUlb}25S_0p>febqi
zHMq88N<`P?dOTlb75B-Yx!_8ojg*Aic*_J{ry0ffe6i~erE;c@O<pz-%H{$sq?D({
zv#y@2{A*kC=jZ-G*%0K8V(n~k`fxR1{gNh+4MM)U`#-$Ar2ttd;3T97zW3!Vo%ckR
zyY{sdI(OSOWUWuNAL?o7s<nUk`MG#$Dyg=H?=~V}-IMeaOE0na$@Y#c-Y=Z`Xj);R
zn10ru&p9lEXP9p1O&m+*Ix1tU)s<BbJ-?VWm~6Idq|nbsW%R>sk+3d5fgdp-tjZ^A
z^L5`woS9RUaiUooS~5w3m|~98<}AH|^tOfOOAqL~|KcIP>F3vVJ-fc%=)pZ39#&Xn
z8zt$8Q3C-3A$p)W%eGWZWa%fGL6BGlraHL^AmkV$2rQCjpP43XbnAp_rkGdbLpP0X
zMR4vcmstOkx7(7_gf)YtSLb*PnY}wfk=Q^ERBRAfK$)OBBhV1*CSeia)FU(89x9)y
zhhd#Nq$k5_vnrQ&&kU;+r_pEc%{KOptv@w=`Hhxl-yTh$(bqGT#|pLV49`1xItYai
zjnF~!&$I3q#b@_qId?;`^*S5YfJNU~EA{ZxV_>Pi$tq*}oL~BJAWJI;bD#%{F3u+L
zLsk9mO*L%OY?s~Ki%S(8qP;|+3b6~PEjf1e5^&hFKdBZGVGRMT9?V6ry3sDXTkk{7
zzG$8Fv%_Z>n!NxhO?%@FX~CdjW<Ig*$bCmw$5PEEqV^k>#9>SXh~Z`X#%Kj*_U4Xp
zJs$?!{|mXfqaz-vBfkFgZ*QR`uG$^4X*bui%eaa3a8+j?=vgCG>AC*wqnNT~o0~8C
z56jXc=txAd^j{!%I<^H_VTsKtgw`4iTD}gvvJ~%|UOTw@?nQFeI@~*V@2;sfaolZs
zHT}o5dWT}qq3ov8Z3|7WCmkvP3UVnN0!})XR%1!pnPl$pd!>O2Z4S5Bdng-#biH0z
zJ2ME$Q+-9gK+9?c4J*Y<%YLeYX<rP1ARKJNCbB*A)8kqFklk8FyApX6W>*0n%6RSB
z{O-5$4?9$i7!b|62hDEgNPjs0CSboj!N%Wa%<BVRkU@;o0G%t(bZq~4|H&K@?Hn-a
zBb~ddVrBJFC6GS+;_6a|7c0TCZ2F$g(>x5pwWA_h+kK$ZAKX@94Dx{W=wW7r<_YXS
zdko=`2~g(z0dooE?Es6~l7WHQd|!bn();s${lh3A`aUmMxq?3PzgcPNf9tx~|FWAG
zkwq#sIsQnfqbbh^882YLdZRm71vL)E>m4Bsv_gF|UEdF+w;3xl(|h~HACipPm<hc_
zmLd31^p&qD^}Vo4;317m<&8U-d5^S0@RTiB>bQ%TbVWslPJ}v5k;RIbRu92tIb0Ma
z+Fov*TZ(`X03y3#)`E2}z_1-_ECQKA0m8?Pk^c5}{$wv-ulQl}^Gn8^69_hkQ%fku
zsyRcZ+j(WVa$mD3fAjgJ4m+XojYfMQwL0cb4kTL9!qkw;xeifBAqpVc1<XS?%#|dY
z)~}@#B`TdzAYY2y5I%#yfYt($?ksblpl)H^#dOO;s4X0v7#)bU(Y(1i>9jw6@1+4%
z1nM&#yJ|Iz)-rWd4b*QAuG(=q&c;4xpeoj)WO8CG%CWsHIy#!uUKaWqRTLAaSKHk9
z6GQsN!*mjzh39>Bpqwmh`|E;a%-Fzz^UKnVo_j$}@2W+dv!l8b;9(okLD|b&TOHq?
znx0UR@vjAoiVQkS++wIvS?~XpkcM{5E_^gy^d|C9LitI0P{KH<geoFFmyVD0_Y=^#
z8)8?4ID2)j%J2#rww~Ov9;|y62_<hNRsCoc-{+l;Q^pR5E<i<R_D{bZbyO5vlv(19
zOZ_0QUt}>VV!0?Yh;c{~HJ|9zkCkm)WOefzbRM6!(LIXY*AHD*Sfg+5<-A9s_4+!4
z`zypi>DKJIc>@}HLitUW&7WoQO`O0@_PTWXyE4GWEVYdo&=N<Uav*99cOjBM{VpNd
zuPjtCvHS+abA!$a3Q?L$pMM1?=0eYqaIHVF0|G;0{L7_;1orj*BW2#&7+a~Bvc>Ar
zX?1;pOHB_lLtjUhZ==ByK<a9N{y`M9AF@&uzz0>-lA)W)zo-`r_jI7Mw=|3VF0q*9
z(p43&QWT>;HhJK1qh|^#G|lP26fNdDS@0M5zIU8?-2WuX2g%65t%SCq4<MZ9l}~qw
zyJ(9FOTxrmCn``zY`}H*Bicf?$muVVNMv&ovN~gyI+kn{Hrg7kWBqc3-sO=W5ZcFp
zcl%qVd=vntG`Tcq6p&7qJiNTEUyOq!zr+)-g2n1YzCLYP8te~sQXZ0JlOJ0Z0JA@*
z*DLYIR1>d(O6P7=L3QpB8Di<FV%-tSo-%z-$-TX|xoiL#ckeH^MdLqh{#pyAn@2`e
zb@YKM7qsEP<9!7g$P*3?&ef>9qhbqEbNp-<oh@Pu${xR5#+pZEV+!e{Z&r!jJpKz5
zBcF9iJ`nOKO^SrILo6vlsqO~VHN(9I3tj4L14%_k@y`uPl*8-Y@|BgZ9vpp5zznaV
zw8-lxx<Jfj5;ldG=v8}vxOKj7gy-WOJt1Fv<n}`(N(s4Y&>Qfi@ztnSm<PPEA`$=U
z%B{)#$+5(WrE~%vF@gP$gn!tuV(Yotg@`Ks722AuC^c9?rVD_;jr6Ms{m?77&p+|-
z%ZQ(;>=;>0sAIp}Jj9hu6SMWrvlq+$L=f%$1ZH9TaPt)&*hZewSBQ7w#5c^k|1a*J
z_+OSMXjK2-mf-K7etvmb$Slc>6%%7an(1~8<$rCv0F%QeW4la?%MhQGKn!BN$|!~4
z2p(`*I28inktjl141INbN8(^6jm*7=mZ)&<PDL1LN6~boWWcSzt+h4KysTI%?<PD3
zZ8r{GF2t-0ff%bBY)`<nQ$H^l$M<Sii|r1+9%7fZmPke!0RBzaMz>g5!d9%xXEXC>
zx*^7J31pXcM1_;?tqk@;)7o*QHPGse@TQ&I`jgF<7RerYDb8~p|6EXg)(07@7;?Km
z*$!S@U0HK1r8F6?4a(!dvZdlYn(S%=_XY3&0!{lG71I@3u5K;IV$^J?L-o6#$Oe+3
z2E@Y1dZ-VG=Gqh|6Dv&SDu2<kL)>H+k~EK$n_^e?4|Wb31nK>bXRk+7F%<|=H%O?R
z&Hx5+(4v*ZUr<ZG&-=~if)k4E$kT=miNLCZ{$X9^8dAHtvNl!g^2S@GRAsE9_Jlfo
zezs7IqcZ&V45_ga%8Xa0avK;OR1N*=u+1mlt6#!XUL3~_@8*(L58b}*;Mg*h=V@JY
zTY#xeqQAZ;70{?n#IpvudNU=9=V>Zk!<$;of#)XWsW)^A)YL+|!h%$NCe=$BSBNv*
z3rWbsRjJ51UH*#?jSqiz?q06!zAm-*uQ7^bcnSK}aDO3gUD&D?Q}OuhEXP;d7FJG-
z0)-n#pMWlFQf*c~*t8865wmJ<lvk6%HR39iF36yQ+q#@mgm2{zmO&&{6^L#Y7WB4v
z)ugnmUy>oB>H<w6ur?j^#<}~7%IJ}^Z6k+IQux6OL;?EJQUz)9JovFg6<x~`p?v!<
zw<)`+;M|Sb7CC79>aT649++|x%3^evl}~2oi}%+%@+{uwpNfu;-(4KA-Vtyi5^zOA
z*$n^cs=Y90iXm5X`Ihn+-B^*}c7QP?VAv#}!#7IEuA$S!?qL~hGee^J(%Ym85zL#4
ztXMg#p=*taU#bDX1H(=mz>TCN<ivG9=Gz(eE@UQx^f7^i?}3x_5Y7_`4#FsrIXT+J
zV4S{;@Y!tv&RPXx`k&pRNTX2O_zf#IAK)wn^_h0me>hwcW)!ff^orkvD-{lbNg7x;
zZ5s-avk6$A_U2$}39TMA3n)$>pUhP)L9%GQD5|Q$alngdMKUn8Z64~ZjP3b!1+P{z
zsp+9xe;=$3mCC3J^;a@pFP1+bT?Bk97C?@rG`{RYs5DP#W*f&lKCr2l^yta7;<k_{
z==*emxiI^@j?&cRQld<)q9IaiB?=32zi9LE{o5}s_Gc?he0kk}TXf>c*@8t|oQ|kR
z?!zC{Umw0v;ZHR2L)myArBuLyFUzxY63^Uqx&SId3+S53yDfCmdwcc>BwU5ZM|!T(
zCpGS2aOW2@#BN?iX+u=wqq(-W-+ELQBHL=I-t+Xk9W7*vqV@eTXQ)x3`JzmDs!jF9
zCGwIB%}yRzgV4jy9DaY{HOQ=gFwOX{R-^+@&Q+$0x_`Lk2~o=2nty3i?N5oo^6EU-
ziGgY>tQR8V(w@VgW{awfYY&CU9_2d1tpe4uT%AXXg4#fm&`IG}m_YSFJyhpQ#_RhB
zCI;3diw;9C-Y+;v54KoJ0s^6lWMaUHX{bZPhP2+5fBW(l@g2*YE3AW-F!!c^L&TR{
zdQN0zVre<Yh_f)0mHVMj#D8*3Z}Rp?gBQd79+R9Gr^n1>ou4Zj2725NmqA@XEPscn
z7oEBlFpD?Vn`h3eWNx-uTUTH|ik~QP^tS%K>hg=Eg5^}BT$j`fyhIR0C2ykJ9{e}u
z*#cwP{gHI}mz#BTS(_0*k0BVY4J>9XV#{3Ktb{|PNu?41RES75fqz0SID+Kc{-Hd6
z&M&$Qiy4TCVcoalg}HS`M>&*p#3D^3+X<gS<8(mr`!LSnh5(rIdXHi&5dk2da#XxY
z2__a#8l`$5lPPqgVg&QqM=N7=VRSKXCq0qek_5n20nAdK%u&393ynZe3j+f38mtim
zry>OjE<+lE2y0zaR>lj8=<r%vU|InNl?{Jxma(addtleFg(_l>C^cFV!Ep+r0nn<9
z*~Hq#jS6!Y=P3`FU@jN6I^h4|3qaNQ%k|<`^+1|aEZs!$Dftj4+Mt2COq>0~Rirqv
z$bD-`4y%GokFY7>*Vm}|0?RM)mm~`zE5@i&$d{)wcFcY7W03jy`-K?74hY)IF)>l(
z6?TJuQy!%mjtc>et{S0ADKcqv`D$i#D>1sCkW)&DmOznIX?0K_^)3vb`v~5{*|%_-
z84&hSEK!y5PfrMtE8sl+@6L<rWw_HF+*8pNVTA#-1}VDQ)u!8rlS<D_X56+{j3!Vs
zlu>^?$2urv&Uk!AoP$2&c{YYAM0Dz6W^w6qbhi$e^y^cb$W4|98l}+v;5C;GQfK#j
zA6+hDZ!~WC@hqv5Pw$?jygRo<QlAe--r~a_@^J)rw8G*`Z0}?a{d^SlB$bZoFwLkd
zSLgZgv8e6j^y$f2m&|qJStcSji8(Hj8uSg{7;Rk%mTCuK5~9|?F72qImq94&N4-%2
z7{|>toMH&%`F${a`Vo7$Z$zKHw?}s&OA;jsAZ@*bhkZrs@OKPlVL=qXEJVIn+lvqk
zd~Z~tE{;virGk9K_y2eYS?lwOSW#}H*+@7>KX0^h_29A%`_(|`{ph>2a;NAqi~7=5
zT_Il|Okx=z7j_{$Dxn})>uI<GM@tA(VE&$8?tX8jI%N~z?U6BQEORgjj*3~$5CzxF
zu#SdoS8fZqeQbIbJwilMOpJ){?HyP4;DsSt-mm95bycnB^q~e)t#3$&ygZ_-%Nhn&
zU~@J#o@{RQz6)f)i2tKMG557N715*)Bg1xs@*Ox9gc^z%rwV$yd-T@>QgDDgoPq2@
zEE^nv_yYe{CeJIu%vuna@O>VKMM}y5mifZG;cckIWRy&T>G8nuVYVbyZQ4D?ki9q%
zC!>%Pg|tt~BGKu{-0EIX{9T~0<S~pxKpuH6pZm(!pH8pV{4%aw$g><}*FbarXf-8B
z(){3L^C`ppGj`>Jd+x%jrjUk7hG0vcT*^eXX|~3XikLXC1><moZ9Z084NF4*P0zkU
za)dch(Md;qH3w2@7Mqi4vWH7hId7!YUPa`4x;%@&PuJLYp#sE5=>v~{BhM=NVhI*F
zWSR`2;O-@fxjL7Ah#Yypyp_4>%9tz>-wP-+ZGqXxk%@Y+(7GYeB*R)vk4VcivY6(z
z@Ag~PQ}Q*fQJdc4+^N$cO_z;$6<xGGpZ=ELxst_93BlMG3*PR=t4O_Kh*3T9{%NI(
zBpo4ZDKdj)jtWR?r@pv9m)+{%7F4~^lvy*Akv|H&McB`-7$e&x1qs9za`%A>93lan
zT}Uxd2|1i}9K5e&OnNK0dhLHtW`^!n^iI~vC&KdUJ~xuC%OA_*Yk*fcK-40zb+qc^
zYYR!t_9y3ri(O#>BTRzeX-yjMs3c`L*5c5ZEmIGFe3L|Yn_@lr)fB$G+^RZnay17U
zuOle2C8|h<cnXA>k?=)|F2{t#zs4FpU4ggc0|I<#fvU3yf<a(So<^V~<sliL$#M9`
zT7|V%GGif$(58ZL$Kk>*ax^oXu&*DR0A@}F4I}H4Ayy)3QQX5Q<rPnq{FQqljEDnk
zG7=LRNl2dKfRT_IlEI2F=iY&Hc3|H;IzZMEC-1>%B4THb_Z7>)<6|+%NB9qrNXYmR
zp`XCh6dfi{U(&#J2w}Yj0V@erl&7DOUQa`f6F7Szu7-J!c6hccHWe=S_;?MDCz9pq
zGZF?0bU~dcP_VatL}r@C+vF8M-N-pjKryp3CUzfi5wU(;n5@8<*j&%0(>8%>$k!j=
zicjr**U7xXQJu<}`D|tq<CedCtdT*a!yka-((7xr`!EkIFc{9&{ASh3RWw*o>3>%b
z6sDWdjgHY{Nm93g5)wVVm`Ml~<a46=%w;cAbSWVb1e00<M&g*`42;lfh>>QQw2%ik
z_tRM^$ZmA5BM)NiW>JZkb$^ucHK2zh#%0zg&<h#w@nM8viJ*;#w!>X=zr^Y?*7~%2
z%;y$giJ8ShrVoYtZ$~CzhYY+Kt=<Vb;$Ovpw@n0Ezz06!?NH4ZV;fma&+fZD5pR`V
z&lT0llib7L1f_5e20&1>gdb~<-x@Q0=6y-T;5e)YIZj`sl-F9KgVxs8;wF11+~NBs
zC6Y)CX?0;I-~W+i%cC?8qgs|x+ajft$IDdt<E@>Fz>Z(K>s(Vyi2tayBI<z4Jw<;5
zIW5o5g+-158cb-NZ-N;DdKRSY;j#&tUp=t=Eq$eGD#75KG8vR?A{(0y`|a*@W)!l;
zdiaR4`xi39h9SLVmq*I}4yY)Pfmcs7%Si^EYsHj^9b(zxN#m<O(-_>7)OAjN9`W;;
zeUgDhigdHCPdhO=(ryKUnj-Q8jgmW{;#>LL&zEQbGXYi{Q4H13VuYt7Ut+9heS-7%
zT5Lj=IDESD4(O9$%+z~#Eb|9#yn}K~v8VTLPuCSV8Ef5c+$D}b0o24rJZ^{X@B-eK
zBokhMdSpdaRh5<7*_TM}v=rbwnp+Mv0c3vDNRfUnmn2clsW>M$I#(R6xizBGeJ<Ff
zxGRA%J9kri3{>fo7uQxf0!La=T@{+0zI8p4m(;){X0)EQ34K_PZiLoCq{dHifXb58
zPvAb(6AB(@341reP)7)MttceEm@evxs+j^Cr*|cnzsT}Dcnb!!<R}SM_o&Y0>BZmG
z%bI=Ui+YOU>de$~3t4sC8&+<TzvQi}w6vi_49irz)*g)_)Rj5f8S7ZIHi`f*VPqN1
zga^lJlHbijxcMn!jcwH3LL(BSk9=9+ZO}1uaU!x~wCI0W7^YWj;4G+y#V-iwHJc;t
z(DFiL4lCQaOHb5-etQ4UV4W;h%#%%Z$F!@x@n$6;_TzuC+S~M4W+;?6cViN{CROV{
z7b`gUjA_TApQ|a~+sWDtt8`X=hu^IRvBbpL0&k0!sCs*vW~13dB#uc;mC*-#S?dCe
zC7eP>osm(iQ&F1Ne#8_<3_`{G=H#OwP&KixW3*^I?ho>I!YYeDjJiHa1!*MD$jf9o
zZOQ6N(BQ&}J4)=*>pCQ9mYUFJp^VeZVgJ`W>xf_+Z=-o*!%7Ie6FPiq>-e-(Q)T4v
z9t5W^UDZ-Z37W)~DEAWYoF(<}D(O%Rue?LjI8h8prv9T!^oTm50{ex)DV&k>y;I(J
zQ1KB+LdDtE0@TCs{{EjS+I{82V{}qj+jkDa2jd^iB=1f(Yh4DM)+9(RQg(L=bMK5E
zM+z%}=!E5#f>=e#l&23_mc&>1#uA+}>B@1IP{tRdqHdKol5mfhp|iz)lvNxdc9Ak`
z9?2|#BR9nzzRI#Mp}5lr|A!^ZSio*rNn`%zl|Pk=o92tzA^;geryz=fP$dsa!$HYO
z+;jn*Th<6u8orK)00AQty*}ZTjW}G0#a76MiL<7r!>Bn^pP4<EcF^jAzDHFZm~va7
zSnT975C6B9RhdJ{UQ_5awGyn>VA6RErE_qRFlZP`oIYUF!!QdupLz>;>BpwTOnnBR
z>QLyxLO$YUc2p;tgY7){vyyzstjc>aa|A~2kbq6aHsZm6`1}{-c_$$e{z0RL80tL3
z#oKU!5=e|@@BXBf5W%FvNUDm>f&NBTREEJ6EOTv%iA^YiwFGon!gM)ZNGEdpcPtgm
zs6`tO{)!^uwe#?~k}AZl5b}XP;sxODGxY!_edtDm3|a_zQ;`Rkya}dp$G$0-;0FN!
z^#CT1A(sl~pP8$2GU=2#%GxUPhAUA=OxB^R9hnc_{}Aq>ed7L@Ignk#DHwOurP~9^
zh@B$Uh!yu6V#Gp7OLW)e2xFLLYpB3a<O>djj&eHcE8~KOP>MmmNjy%}^V82%79`n%
z!%eL+k^thh86E5nfmzZLPe1<~0<QVelt;1P*@dJYVHR3F{rx+pW9-WE_1`kf-CqkY
z@JEsrQOruln{B=6ScXoQe(LmqVM6-J`MH=Vzy^(3YWJ~DVInd*EAdr^DZf)LwC+k<
zX$VuxBpQUUy8&F0T=9N`-F0Fk!w=q~ju(-<jX}~PF-0Q2d^@t|AnC{)eER#vA2$9-
zD;|8@&vPl6ep##w`u+lM`=)urr&b1+e&pX1J6eZXX<DfmStY#3z{SI<wsnKrr_7Nn
z%i|1ny%<P%Ph8hO%oLm%<LZ3Nob1SGsj3k2Ca)H$$NxOx$pcJ=kA=enz)`z{W&d<!
zB3*<yQ7tG9v&QL;_RGb@JlH+V2nDhFL|oC1KyKjG7#K6|VPKCklr0eob>0=x2O>sw
zZCS%aTM3WTgO&u#b!iWg+ZnZ{R#;;+K#?SLR?^Wrc`<d4iok+Poh$Y(0_TM2o?CKL
z0l;oV8zOUA35Gv}1Q7^LIv8*Lj<0B5To;}c5}+VfSOFykLtVt7idbISR1sqrVhM#p
zdu{<IE5TcJgiue_OQNb0CJM~O!!Zfz{ZcO=z$fYQL=B*)9Z6z%GvJ8|At>0LF4rTW
z(j89GXO=)^JeciVRMI&_G}_6!^Zk=Nb`6vdMhrN=%mvav{`KD=dhi8mJnJu!Au-cp
z5Krzl2_~Wl6iY^%e+J!O!998Md#ngLvxBxcTmLiq2X^FecZF=S%?u~b<HyFdNeB$4
zM~m2qpm`kDZ*^`xDCd7i52zOmmn2NlaB77{KiQwiTLh#-g=zOhMz>lVLOgdM-aZm6
zg%q-Pzs*ZV{oUft{R8AOBhmsG)CR**3CxPjk5I8Q%s74kT_3>^#^TFcDZQvwGI~ff
z=rR_s2UC=#9vA!<4kGUJ#{`<Cx43*nPe^8gBGVMTe`Acb5VRSL{33ZflR2n>Q2Px?
zVUj9lYaz)Lv=(Y$2aqt`#JtbQ7$bp<o#0i34k6#KrGQ73&lbF7<YPel8bEx~{G4F6
zeEgM}J5zpnzQlf4-{(JaY5rt6b#S5KCO_7tMXA=T3+hbWH?UkvqJPdkQiHzl`^!BH
zaeQi(I`>%8vjrjv%o_aj79u10t~h;IL;4xt(~bRf4&yi-7Bws#%x|Dw`mWka1gVpw
z9Z^<Pw4%}gl}X~An7R4#1D4?%1U15n9Z-a*9NKcnZ%@(h->o7c6l$b?7L)pqIFWl*
z(;C8%X|{=^6=iTp3uvl905&!@HjiW;<F*dsU0z~eN+<Jf8B9r?pnq#nzkJ7H0@W$q
z%9ShV_VPPdLt`f`kjg?-`ywj>WgJWr{DBUvBjrfmSF)!tJ;=vuq^UFLGE93Hmn&zP
zeJ#f(6YLHqWzyz;CiODYqmn|c;_L;nfCM`SOs00k`BY)z*%ABWSaIJ|i^S+quep7*
zsL%Lk=XY?YPB>JXx>}$woWKh}U<!#{u&0;FRhwwr1K>g_`h?F${2NrFcumN$<l1&O
zFm%{w(%BpWKj;YvJ&JMT-XS00Ti+?=Xw=vhEW5U8tZ~Qzhu%F@a5*-IN!N?R&{5&^
zH{FOGiq8);bH@i!gg^tNk0H5Ik*7^OKR@Ge$-seIHO;AFX8)7#SPSYwyZWm0CgnIZ
z`y<iVa-rK5hLR{WWpKDur+d^%2S<3%V9n~GCR*abY`_}BgL$YGeS{;`nTKYjyr2K|
zIJ<wV;MJAN$SI4@ZB?6T$M`Z=+wx8CfCM;q!}qre<5sF(n!;E!dy;6-47{fL3d#Tb
z)vUMh%W79AL`NH1H$nNVNClNOwU?vm_40Te03<4~RjCV?O-p8jlE>SmTUT12{n|h2
z?t|qB<!@-_B?4XfG4ogpOpu{EYl~~E6w%B_^{83=Y>OOolGuEUP&|99vZ!QzSHxw_
zg!lb>RO!11zr{d`Y4&-+p%75(`f36$3yTZu)9zI>N+OvwPIpzt>NmU-1+y|am`9~v
zfR9)Y5)6g+G1y~3gJp1>(qEWIPY@e6g~{Znw)rIc05$osVZ%6fe-u|^-7^==-);w5
zhLDXvpvRvMj*Sob@LjogkV!}!0>l3lJw{E*WHe-R&d*tf7A>(Vn^HP~>{56cU*5i=
z5<Fwxnu-Z`xJ;b8@mF$AhIgu>^UFWjifTmP?O1w^%5$XgGKI8@GG!FUh&Y>^e0P>~
zUv3ME40{SLFVnYXP+iOwxJ*d!gQAjW_%Ubi?d=v7_x6Tor6ohtHbL7lTJ7B_pP~w+
z1Te#|m_SLXg-{MhEc8J+)03y=bxgo)>jUdbaTI{;?Xo)VQYoqf{wb&i<uJKYVkXEE
zm~ob2*w2em_5NqLAOEt5NyJnM5-+8ftJZu#Xazn0|8KzfFS~iiziU3Zul^8KUk0f_
znkRTp1q-sH(uNB`ayC`smy{vEf@HUjLZ$xDIig1IT<0vbKHnD1yE5`&&^{BUDE;b@
zodb2uHZbF2%&-t(hKHwhDdoKUfl9$BtQHZSf+`&aA~5o3t~ayi0&3&r0z+GJbsI=v
z5wvnT&s~%%Vr84)8)|n#o7f*iPzlo1n<;{7nZnKMLU|RRC3o@ilW$K^vtnF!Iyl5(
z#ETbH7ef4I91c|CRqwaORcheW(2qYtkFi*|7kPy6BRnG<?#<(mXN1q>FQD;AK~Y?c
zL$wwr8rx9bk2nEq(o67f-D=u0VL=^f_oVT2*+f~+%@u9@mPx}}--0c>V?Ft?3BJLR
z5%?xiGhD^F8|$~y!<4Q~e(%#^km%WkZ6WqymZbsXTb@In@@xz8cZTmX5}E~h7vaE2
zhAFw-XR_U=4@V}HGqyt=F_;%$U{48Z9$^=&xTPbBK{42ES#~oB3E+@_+cMxHQx7CQ
z;xx;VUQN)q%yd~mwQ`Gm9;)Ql$9VQEBA=6{yuXr)<<BoJa_+|NACf8jzgV9T){LS@
z{$rahoE+bFC}BpA@_o&!qo4Og7W;0uudOfRpdsv{uAa3_eEDj%1H%(jSz4-ih0>^^
zWV!6#T`E16e&p4U9BJsHB4IYr>J<Q^q429X=TO>4aS-`_s09LC896CKdp*UbFFmeC
zkVGWRYWJ(m0mY8;ws`eGflFqugZvZr%dK6%tH@tcaOPhR?w6yOIiCwpn^D>^!|E`3
z`$p+89%OC~W3LE9e?^s1=L8_W6o9K8(L3-N3G%Ly;Xow#kfE_()UF^dDxZljZ?G;s
zs#sI1{pU+Tz4OsWm-|eeG5^)$D_bnS+8xc0x<si5zC1$BHkiN8-K{m0`wBEH0<5w>
z6>Y|T6b@jwcLCy{B}gn~Np>lpV{LODHmbW*Xk<2v75n7zT*dZG^@Rdjb1ldFsy4fR
zr`IrT30nbMRLC;k1M)z@bH_>kI7OCr4as8N&uvVtMtL{O{pL5sT(p*A2G*j3fXkk@
zX4g(z+wSkja!}TE?uJb=tFd!r$aN~SEQfKMM}T5>_kA90q$=Sb6WcG3SFa5s=TS~Y
zAC@?63&PlitBRM>%#~Gw3boAX<<HLD1mBXpsGW)STHug03SBGF%$kI&eUd(&7cKs!
zC7ZQ43^SetO>EP!o<nsp;KxxJFLL}U@yGi)T=ZWmmxjnAhe4tF+F4)$suAus37NPU
zj{MY$EhG$(U7Dk!VlfQfU>tOXfnOpH*gVD*dw`(SV@k7#TrpPRUM|#og?PhkO#=w&
z$7Y<>P$UvQ4Z~1jL_e4E{(PYZ1DS#;Kn4j8m&h-bL}?e9tV$n(f#`8QQ#m9+K<M62
zuyc0f>X`@=j#%jA$3TUL7iN`%IMxQ}z8knl&piyFUdrX{yB~?{Q(ee!&z7T+?KF%L
zC@RF}Q?(y=xe3>^=t0Qb6{e&>as?1K)tP8(2MxGj^{qdm2+)R-mFe~?%R{O00Z@y$
zB9sNPj-aD9oWVM9R3+J2te`7ATS*8TSY0x2ypQTm5?@T<$LdP!mE427>q|}aT2EC*
zz0_an@Wm_7`_k9{&3CN&cat7d-Tg1R-PZr~&FlREX0L1&=4MGM0y^PHwAlmYsPA?7
zq%3?jMz;O+nBgQ<|D($Q^o0J|lgFQ|+{B1KmA4HeXRXMD$?zYO+PRuM&NSap5zXw$
z>O!~c5beZb-l0J29`kuE;^auh0K`=pYH!0a2{%!7qKd-nJAarEpp5v5tt>J~9$<3)
z0D-?oh9S&5LiNZzv<pxb{Tds4s01d1G+H7Hq2Zr`Z`LP!D1IeC5;rMPBLkM9LUV&n
z_tK}z?^lhTyhXG2-eNTTy&-=lfeR2eH~97Yo=JHp^)yn!60Wo#$v#1DN=k$T^k?!u
z!<^E}m>xaf%`$&M3Z!1V(P|DsAd*kO%nIKm9qOk+EC59nkKe=~0e3hle<l+sBm^#-
zBoh^p$@LD1D(DSQ-@`RQAR-UrOkRIV_{2J9vn3RyVkF0nss2O-Q7&!4l!?Xxy^{>}
zjPXNwq`}J?q+OKWsE`1%v0$kmb-T|cqnAkVZPceQC|jA$pGdA<SZ5D<U#4el>(3r}
zB0721A@kwiU1Fis?)2gIl{Fkd06#<z$s}_M#<i##7~N7J;~+Wz!WUT`?SDAZ7UG5p
zqj%&h>!4ftx3Nj997><hE~jL*Qyhd5ed?WGXy-7nV(bC}cvg{%dKl?dw0R3Ti6mrs
zErotvwZ*|v3_H~gvN~~hS5WdV&2)zQ?*As}h)H+DU29jHy>e4ow45@PmNGnxS5bDZ
zNVT!H4yei7c3}aBi+5dJr*xssAjl2Jz$k-Bu#+)R_P3Q9Tk??-*Kmwdt#$4D*99N4
zXfvz|c=zACC|80g#@a~nT<Xy3w#G2G`>})~?=J;C%dmfDsstW_$UR?}Jon{EXmMSS
zGex|r8^z9KT9oz|>UuVI&?3^B{eO{q-6PwEhfe4XeJ$s}BrnvBH_lOMbRTQ+(}WKa
zb;7P%B*fyGrAgRD<PK0E-q4BV|4mol*|x8PkKFwMeUdRYO^_fjbf>^yOg>}|7luV@
z^p%j^0k_T9#zPV6@q2S{4F7k?S%QTUQ$A3=$ls1b+Ixd`2S8t+26r~<a-ai~yTWO+
zE}kmiliTv;wWcP96g_>=*#D-=usa`YXAF&C4(!78+yUBcU`%_6ir@BLUB(<Pf=4T8
zu7Up*LYQhI@bbQae>4b-EE4RROx>E;D1j^%*cag>c0XvL;xmT}3#BxoS(|!k5+&5^
zrU`f;5P~SXJ79@1;Rw?=1-D4w|EG38-g!o1dC#<aH&C#kN;zzYPH06AgS<5+<3;@u
zR9-k*ozS4pbEI84LR}jRNf;(C9d?j<YBfrHVC2;m?|)&@P@M!x$;75WHH;Gi&dwn0
zQ4)p1!N}u<xmPbp<!;tg9?+p3)O3SyleGsT7UlJ&peG%*G<B`X{z?BNb&R?@B02N;
zJ8AaL|3k!A_aNznFo}i1xbAs2tP2&DqSii#AyKH(@a^6ItCimU%bkWjG@}1ic2=18
zx32g<oxi@ylK<cOc$^^eauMx`2=BfH<!gk^a;&_YD44myXsGWtPR2W??+;4sgHBN@
z-}%P8g3BzfW6iD`S5eGGE4uk)#Q=4eOXUt9B(aD(XQ}&C{A>N?61FKije6HLv?`@b
zj*n5QMQiJiv_U0Yj{Sb&<7`y$c*M*}U_w>HpjE*K%}K532sU{?K`jJ*4EEQVi;y)z
zjsMiz$IfiwYV=`S#`K;>Dlh(B$tsL9OmRR%`eB5MSfzIAMMm|_#lL`wS|>iu$)Abb
z=sgLM4O@p|5!3!e<GaG8ygD=}m2%nSm;jJ{6(RR8B<1k%r*|Vj4}NU&vINT-jyL_O
zxxDBE(%+_EkJ3_@|2qgCmEN;lkmmy4^pc;4DpG9fBF?F1B2W^gn|~2hlg#l3l9Bwx
zIF#;m!-lA?N_?Cs7Fc0XyUI`|?IcLH-Q1!>jP&5ORB+!)lmTJDgJMD!2<s+nLD-H8
zVJVcj5G0+u$W9W<y<%r_@efN}51Z0>CghHGlAA9R&LMs4@onK&*yJfF`SBro$orkd
zh5;$q9BMYG`PXKHNWm<`^TVLTR9=O-{sN2{((qsxQXApQt>;?6(u-hP4uzSh1$8>3
zcb~IedvhQ2XjHWLf3s}b;0Y|-Tl!Oovd7>|UM0d1<$dSg?@bO9#6nZC16<ISAVo!Y
zIDUO(d1ZKazQFXjPhT^ZsK8rkqz&EW&Dhy=xZ-Fo2b%&FGX>ayk#VLW6SK<b-3aCA
z#j<v&nJ}Jg>QO~c#SD{ItWW=^UIxolcOUQe!<Lb;zR!CnMwnK?xM{oFor+F_0t>xz
z+5<X$-w0bXMoRd;|EZ`q>MzeZ_hj<|^}r{8K}Zd3X<naG47ib3ez&zo`k^$cKk4Mq
zp)sfVKm~-|!RxT8Ao{&y1G8dYZBkug*ztYDw|{;+xw<gLs==t^dtY%G?EEOfin-J)
z6j46axA^{+J&oPvtttGFI*>P|$>HW81xHKjgNa-|HTj5h0}^+(`gGrQ#ecDmqsM|&
z7BYOhhcN9V=T@>z&Oy(qD9(TuznhAS>_RelAkVlZO^`tw78`aU>};k|sq2!rq$x6!
z%QV2}idbwVma$Rwas`J%V|A#(#_2*Q(Wet#9sK-?Xn0HW)*WOwaA!7O^~IIqu2N;3
zDN~V940EX2u{@CRs#FxD4D1IkE|z2b;oK`v3Ps%bj6z<iQKY>RRC8o7Jueg+A<iab
z9Ns}YY!Lw9FrJIfN}HrZ{_2r<=f?o%F68(?D_FmA|1K^R?v{JEFQadklqt#H0-9_Q
zMQ+pg3wcq0K6Hj)65j}OQ>6OmfI}U_0Kbe^elR6G{)-Z|Mbff^-C#5H=skb;g6+Z{
z3~)?@lMy-V_3v}hwnQ$7*p7J&Bs?0~R~~R~Z|^@vLbHz(D9pE0lPzk7=}$K<Sk{>I
zYWos0ni;>JuweEyg~RSIvptK$uuCj$8r#yWeTkICT85Y3+wNbs4VnHvD2Eayb7%wR
zEpT=eqt9O&wOps(M&&8fX1^e=K~-e`wqZOFW9UYIA`iQ7h5-#*0u?ixsltv-z7PdW
zpcL4;67Fg;fhhI9;MHk+JMJ*Guzlj87dB5NX7T^@KG1O>fXv3u#?@ic7V1J06tj;Q
zgqQrH5_C;=zQ79M_gKsE*cPlI`)e<@P8r2KEb5G(+aCxK+hfg)(~%4;_Ln^UJ_P$H
zKfkmjkZlOp((AaOXHjw9)IDN+U<(owQ=b(P@Ne@F7<SEF=<Cz&aq1j4l{QXSbif9G
z8UXT3oV?f07XAx+OJm;<ecDw7`{xA0Iv$U0m2{sD34ZFOy-dr71P7vTrB8TszZ#MM
zhiymy051Np7i2O$$}HBvlbLGt82@)~(G9?gO|{9xvAR*hUmcDx+k9(ZYlvM7*9}ZU
z_o`F#XH_1A2hj9=4m@et5optXIkm`<J-)j7;(_S(SSS#ufYjLcxEVi&1z8q9mOFy_
zt9m4M{24RzmAk?>W2qFn3dU`bV4a#K2Ue*b$kGYIJN1edSaH7%JN7LRHx<;{<|&pR
zlOp(4D=AsIg2qE@KlVTqE}G?e%EuLkbjg89(9_q<J&~<}xhLZC!Un=xM|0=xudETA
zE&G$yC!xuP@;L%0wrq|I8pjLc(2ooSzWMt{NF*P={r0Ukj7SgZUcPIZalbQ;MT@~#
z(D7fJeD7tzPc934+)>)5M?Y(RggTKO@_+Wj`@?)g2{N%8c1@Lm{@3aaDO|ysCy*ap
zvS5G2dmwM}vy<tE>_l+f#^nEX=4aZGl=dI+mz;i25R@C3eRm&<;LuLf3=^!VZ=R$B
z{NzN$xAW_%T?0(5jaoMd=3wvMNECPdC1=H)6Y*7h77sfhhYNb6oAG^w5w^260+&g9
z^Veg%xx*IKk_P>(X9Msd&~A0^WQKtEs)a-maQ;A8LVaSIkkZSMzo|r*JI`R%4A!YX
z>)-<BvZ=%8tb{<!GgP^`Y;uE0n9O*2gZ8T8e0BZ^R-A`Qp+t6h?AkCX1;(a<TyQWW
z9j)06KG`}~`TF$bCnHWtoGrrK7a4++kPO!PCMUMF@xskJ9DKz$U`Hqz@9O~<{UwEt
zJT*g^k<B;Kojt#Re5bTY4EcgcdLM`1umrBifH!%NO#y(sxNNF1ZuOs`OIi{OJ$=g9
zcyD}#>PVp`c}H52HZ>4EBup1*{Y*{pw87&zdT}XU2f~1mQodS1_!#Ewg&Y;wJJ93c
z63v5uPJW))o)R)%VQTZddK?G#{;2gc8T>=Yz7V>_xd;upOvg@t5ZSw-9f^_?8toi0
z7g*ok%b-4EGQyGnn~YpEl^_HKQiGi)l5Ak6E!h)nBh*iwEC1V+!88dcdbUc?W=PaJ
zROuy!T&N!SO-0JKM8V-ZFnge#B=M60_Sz`v{AtF$AIXvn=fq@J-lR?D<2<&r&kq}r
z=||TI$8fcMPyK1^RNMX|94==k+r4479oUO;2%kNv|3&eZj<`biyqOUkKV2W=y$F8&
z-S$3;3t{%MzW2?&HRN4~bk_f3)s+?v^U-|`1KarawAViG<`0uV&;;VJIbbPv8LmGk
zxk$Wdrdovf_*nS1;glH$DI<GWcG%8Pb7B-oL<6z_ADdPCV24!UfMFBtM~}<BMr0)`
zPI0~DY}q}KZ#Z08`$o^qZ~{KuJJ<sZy#+cl0xPsmT-ftria`t93b9Tz)Xpx0tvGyi
zfTl280g8l5O3ZYFe%kb%%yQI^1cI}^TITD%<&ZQ63>IOBfE8#Toa&pOw*<_e`z&wC
zw+8(mp?A~f?W9T4sx1C!4jVYA(On&J3vdV<-<h|v;zlo!4W!c$FdryI)Og63T}WG9
z(xe6Tah4bhXv2WukCI<Yip0eOyH_Bd#4vqVRHy*iG4HXWU8l0z;Wto(A)ET%;BvCW
z8Y>~|3LZ_-dC11bh8i1NDf`ntDH4efrQspN?D-TmNBET7S-j8~#_$0Jpp^DGKsysE
zS_;_9(n@t8A)HK@==@Zr`Lq;JR3vV}Jt+;vNA{e54lFY_%r`+(5N$sR&0`HY4G?Dn
z-3(qbLBCQ!xD~+Y1z8zLod6$<_JWtnrO~aOoI_Oho1*(o<r78LshACD7F>$=f!*p2
zxIUr7nHfIU<nbE}$Y_db33p}`IhllwB(xgFYu3!Kv-j=~p;jS=aDGq_STSD{1_x=t
zK>9A(UV`x342~yF5S4=4YyCo#<3A&qF3wQDH%E^psCxh<l43G>VJ(n`1n(^mMck~X
zB5G8*rAFsgYN$ik<-|-~;fg?iLxEvvu94Wlo;r*0`x1<KB7**(pkHpF+3p}T5xK8J
zdjk5hL3pHq$R<oh3frh~mXdE4i47aFR~3@9Lo1!OM~l?>?ayREta8M@Rn!ZEXQkb2
zNr~ogK~|mq;1P5jDNvofhL+=*tW)el$Tc_E)W(B2swGM#((x8CRSp&h3OJ!u0w<T-
zB=wo#ty8Nx;vTd09mOlAr5DkR`dX=%K{v}YA}ke*kia3xlsJAL#A;eB)S|^@lK_P+
z{nmke?c!3sYd~+|%i|>MJu~xxorDUxkt(zY*)HsJV^{eJE?KR)7?;6V^9gZIGJ#mC
zD^ZUuhP1Ll%3mEMz`2k1Dlv!gyPu9DzY60b0~Af~p6e?YOreiz={n*hzGL2#^Nmd%
zbX~FQA_NAy>xN`{$6<*lgc|5^5pNL@mP*9Vfzx$PQ3o9KK87WrNIj9ak-B^OVP+<S
zATvF%^VjXk3sZf?SF@&y+d;Qws)dq6WH{x#_fpYfU+{>k{_|l>1}YBJ2jz&Y8UH-S
z*LouYJiCxMHh#mwq{j*lQcySypgx^JiD*E?9=?hs_RVD7%BPJ(sArOPABM|{Qn`gn
z^Zpf8vVv+6@2Q0qqVsy%`^Uk)!2`~IG~;h^jwvYeJxAJkmJ1db)dBEqpv>q}*<|?M
z5pNY9=w0+HM!-7G{UmblDz-dgw$?FmjfX>lY2X-=@wxE^9FScI2Cz8dmxx<As1uGP
z@<$U<s9y%0W_rs?$T#ljQ~&_77%<*?XgICjM|;5t{n<4*tSd=6;uhk!RZ=x{@SOT6
z)|6*y(EDkdK(caoCEzdaWK^TN3YujnWdz>-rF#ZW<s&bRPK^$s6x&8|pVF~N?M9YO
z%$njJL9M(&fHy=wYP6!A+N8%+(Nacs3V5?=OBQ*xvuayuL}=ri!?4B0IjvRmH+V2W
zUHkX4^|ZCMT_+IbCQ4-JW&6dwvDxnX{2d}-G29@uTMIygEIDN99nj)KdtmYSDY;8D
zwNRCnBh$zvdK}v@1FbPfbDj;xqMZShD}-w5*v@wsGQJF~Q0LY!IPxu(B*B|*x4OSl
zy>Iyj+7K+{ssly7Y?2#bX~#DD)$MeBl>7s!>O*y&ekd?1cwv}7n&|B9ECyB}EI_**
zVc-~lID{(iHm!|s4@D-YCaZ}I17rn5A|oRgy=UZ$z9`j+=pNPD_R^3*tco^Ne0HIg
z64{Sj%*=1CiG0FuYV<m<uiI*~)TesJjFk_j3UXQHv(J3dVxOMBQvCPETVub^zx`;|
zv_;dddQAT{N!UT^F-vgOw)xvX?-Sa4eZemurgm(}|E+QMwJ@!HgA-@OtiD;x-dU!i
z;Hk=c(!aFY%qHAbw8C#3?G}&L020Mx)+auF`YRIb?rYbsq3i8hLlSHLRjA{!NSxw(
z|N3oDm{Rn<NOcaE>*uGNZfCko*<H4-;c4;pwYT9hP^g|V_3ffRMI`Qq$lHr=*<u6@
zCRuUL+rgh$g2$JjDOm@FK&OvyHgbvv&!6PPm}Dl?B_YmdDy?Ew|9<&$6_kk;=H}+z
zH7PqLCntk0Us)`t&a?ohy1BWLzoxSxJAIa);PJ>CH-3n`dskdmRtJmsM4Bk7J!t4E
z2g{Qgz^@!gKsb+uSeda!+*eTV_I6?1styz_Z8W=gU!IboJkys|uWoG}lRG(TLoemT
zi4*EOcWN0K1s4UZkA3-4Yofqs{5;(L5~8A_*|!CMQbSeouFB-_A?KcYLu~L`<a7*<
znwi4F&W-cG`R1FKXxL$Ma&vP>N7}=6QR>m(G3_n3irgH5@sp5~(_Oi8<*^0RPTv3h
z_isvrWOg8a9yDCBVlKvp#Y!jYV1wHm1*n%r^Y5+#i0lynDmnrJ0!BIRslRO9Dzb24
z6hwtCH2%4x@;Ly@Q_XeAp&5?>{VFp~96I~kZ%6Rkf%*mpQWd{{TlI#Rd`2kN;?B{b
zgz)rYgD)OX@5*YF5fESDH_BKT2IwW4b(hD%BRK$f#ch<ay6}B>_?etPz5O|Rm4Mx)
z_yG{0It6U<#kMdUlTuMJgB6IoaXW1>;uHr$T&BWOGFMms6K$Dd=+x0{=Y<Ed{nu)5
zM}binMZT8qZd=D+SVG;;7Mknq-1$4$#y!You`uYz7^d7EA0KyEW_9ruSd7W_?~l)&
z4@b6dU7^9P7BK9f+Czs9t>yp_>cKN9vrNJ`E$)u7;%UK8CWVEC?w}rWhn~-F9}Rb%
zi8p}tf0s6ANjQrwV5`w8C3pD6x2xBzQRlk!HpZh9ynV~_<aINBPp;U@nz~<6N-EJ~
zaeG%+EG{I$X8(HNz=2Lcva~C+1b^}r*SQygMBfo;?tP-{qu(7AUH5V;(3P_85SPnk
zH;g_L^|jjKJ)ZIS$rBM#(Zu=yY1COC!g&@8&Gjf6;A3>6xwEtdkDo<bcP!Qv?UUBe
zpT1fn;CfzO-qJaGic@-i75LV-yT@7TFMv@h%WU!ZKid29uo~C)?WdF>8!x-4c4D*A
zl0;=_lsT)SSsKMEjnW{^NjA1Dv6o6H87h@#ny0lltyD-UrFoDvOOqnL^Iq)t_x=4H
zzdyfqY{${AH9gOB-`91X=XGA!Gm(tj``p3cg|!L_2H=1O7}_$7Zi!UkrAy<X$rI-_
z29{jMX*>D(<B|22`9@q(bxZ~`<=Q0A7~b6}Xi_HF&cAl;+P+tJ&w>S?X0RRWlH#!H
zV556J)i#5RjE0Ua0dN<SrRs^kX8hZMjBoVUs;_;syxCw*y7T7Eb61jp_c8%--qSe6
ztZwK~P}9+6)>O71a<&vh<Lk$>*)A<I498b@&fMJOaL>KFf{~vkdC0;d3a5KLlZA%w
zB;d%s*Ebw~1KjyIaK<+-Hujn5ecW}z9+V^7a#2v*3Di7=7A?9izt=d)2&(^O@-$qt
zimEDI05fB2YwLLV#fukD!;o5=V!ri7j7D4hJ4&bm@`SL6h!m5BCZoF~BYzg&;p>|Z
zTS^KX(c8JA`)?@h!PfI~J4y*AqV`HI7VLM)=xJ>jQVMFiPtE15M+)BymA@ABFdp_n
zvMAq9G!^;fpqqblX=$kg8cW4DJBHDEks5t5;U~*?+)<1<hFq5jzMWbqKux|S1I6}7
zDe2dwl;$f2+T2jE4I!f~5{Jk8>qR6alF`uM(E0SDxRUFg%29s$AtZET9UT@r*JH6(
zx*c@jzRj{JU!p$s?wZ-7WBd7}1=_U&0|WEjy3QYEGV2O`JPNufmn-}$DWU-%z$r7t
zzpQ{Sr>3T--#31TcgV3hH-qH9J`issZ|~ekML3j@D_2a=rv~<<X7Y57UQon_!>LG|
zAAstGgoF%`hiYMfkewk>7z5`kMek$JCTfMtY>5@ryIOI5LmJWo84F|xUOKwzJ&KO?
z$b}C$ob6IHny~9mD%I#`Xa%G)#&R7Xq4gkFz`B4XwhaOEz2&9TH7PGNU`mv$%-rPj
z>7C9X+8Xj@D{D~N5R%<M)%(CoHHO&m0pGk9c;oi*5nVQ5|6Q#1KGdOwzf+6CGuC;#
zy1L#j6A%<+u;mUHTdcf6HApkn+Yxb^q6Fv?2&3sOI2alOhwx%F63z)m#q_xtx5+C7
zUn$BvLcz9TA3Ib+ncX8V7NE%G|0scoVmQ)Sy7|<=p=gcMt^clxQ(}i3rt(x{swWX>
zZ!~I0$gb^u<9h@#(qofj?Y;<G2UwnbBo#4tK#VCYE^Zc7PBnDExmnGY(mvT;A(CZZ
zy%UXUnIr~>G%Tm6;NW1A^~hd@53~GrBw~P4S*zUr$jA)8jnw4z*K)UOQjP{98_j=B
zxtgGUcJE;Fp}RPeUf|4X_!f){y+@qCtdW*>f)UNE;8Y4rzVGd$2bW&+)9uA7g9T>K
z?nB^qY%4DMIx{1(WXUQGjS`D8ab|<)+(i;w`1q^~fImKf*@fri<N(+ukSQqj-^itf
z#vK+B5&!*b)%RL7Ttt^4g+9P)AaN|@^5yj(K2SrmF0AgEvxFtDrLFC8M4TF`$dt`;
zertd_Au>UCMYthWS#7eZV)%x`R$S2;3`lE4iGwUF$T8)avg&B%H7f}$Y8l~cwp)1N
z$yBYbRi!vr)HI^BYT1u)TmW4q;Xt&CmX;Qq<~iJIiEM6wWF4(I1=ZyNR0n&s+neRO
z-j%I1xVS_L_mbPD4xIMVgIEa~Gnf|;`PY-1wPjl@3i^8S;>GfDZ|Jj@VFEz~1+E>z
z$U7gJ2i851(ohI2^+CgEmj9HypnyQGEU<??h7Jy!O-QS#OmB<lYhEF^opL#XJvI$V
zJs~zWwjl5?^9U&o4UGU~Uc@V}?6R`5bqLYyO-KF_*zDYpzH&9{Ccni#ctGxwcN35w
zMz`zEU&!dVkdP1qw4r%K+x|jv&IV%}=eWIlws?V<!tToJ8>-y2il21oVTZxf;$4@Z
z|D<#tQlKh4CM;4zu$YyL`a=>nSj6UFKFa$Ql2`jFko)@|KG>66D&$q3*uFi8<Zt+`
z5{{OJY>^gl)i6%8QZHk2MN7-d3O16V1noXNs9~Nlk5q5<(s@ghQfok$%yBOuh4%Q+
z6&geS0bkyq&dF)J)Kn#?HaC)QE@u#}6Z=(94ZK3)2#<<N#x+VbN;EiC2HYa|5inci
znGeFmAiwg4py2NAZmHfkhJ3ILn>G%YM)&Yb3LvBBUdGk6M;+EI-TI7yfkD(DxQ8*$
zZ}fLHj9v%;;E=J*e|#|2!l&NyEarfAbhs)By(@_B76|%hEi>_|>UF^>byfdIPv=VR
zR^$JLv);KS-xzD67O3mwmw<}{fqdRbXd)saabaP?DHeGKRcfQGb@%xp-f|@bDKU35
znLng<2Yo#<8$r~v&|5#tvCd%UPHfF!>}on$&EtJ_*W}k!{<59X*PQnV;VC{Lfexrt
zj(kHNxf;hvkU>o{?CRA!h=Ipj3zc=}e>#8Rf)hHtFgfMc{2v2Q^t@ZX>>8z9WBgJ3
zQQ+F6OUkG9@<W_CcI@ZRpMzQG>a~zvxpF(;QynIqDr7<Sv4Uf@9>q{+t=XJt+}}hK
zazk}@<@Hgu_el6J-8g5@YX<Q($l+zks0W>$lW%T4G2~ozNI<PXGYIq8QUF?g{QUZ{
ze^W!@z7^VcpzZs@3%l?ibm;O=9(+M_bX`i;y`urd0gWQR5Ad_*EL5cU8itTU*t8QT
zhSjbx$OaTycQARo0*WqvHUk4US~m1Nx1?M(K7L=K_9uz7mQ$a)r5Ku_66K?j0R9Yi
z@Y%ETSE2tboq?rD>qR+#i!@)mLrqN$jj<;reL26R+E?>MoKwI>uOTmI9W50a|4`kP
zI<vmA207S<MRZ2XtI+v#wXo@Nabz&f&Hy3E7%x#&mvVjoTr8ZfzpAb0MZd}uO3j4Z
zcn`ooLwR1iFBVwC5Tu?O1nhCx5c<#{c};wabEMOE6dxVI`4qSbXe>^hhmH}8PSl8A
zRfMk_M-#Lm(X!*25w^XkqP?6{zAT?SDJblYD^Zn=^ggJiqx0Nz;PP)<g#qyZ%F0DO
z>f5$bx=+`vq?&iayehnWc}h?aMW*%k!Mp|3xRS{_HPoC)mPd20K2joSoTo7?^G{Y|
zXqWQ=nCymfP?&Rs>lzYBO@MNYJa_8D3bM{$U-?BWj@8sO1ehwud<-Kx#F*YdO@U@{
z5|BDNOD{Rrr$*!bed;&3Rb~=Q2xOV)J<=(sg<WkyFl5N3ORw?%C%d={_UzsbxP?1V
z9LDv0J~`#>NYR@Ww#=PYmoZL?g}FK5G+NbvU#yp_hnTX(rL`~-vatyf{zgJeVq#*z
zUlIr!+_r6-+yQ*R09*cx-EeDBl4U`5iyM`D2ry<e%huGfDH|Dy^u=P#TSS)<ljR=}
zAR;Uri}PHtN~S#mi^f%z!C-`3yr>U=xMax^l5<eACj_peql4`Jmc<Brm!Mqj<%$w?
znq&|cf)8n6-QwT=4PTJA3C~r4F4Gt|9-!5M6GF`kaAvYA8>$~dew0Dhyv?;J3A6;2
zx<<n)O5*TZcqzRG9^}99<o63t?n3%{=QADX?_aoc=gxPoN?|u|nsG?XT?dlc?fqQz
ziI+x@PR;ArBDlIRg7*V2X&pH51}bX8ojWV-VhFtjqqDNIlEK9P%MN^g8+DfkndjE~
zEpC1SpfLJzX5q>-g0?WCKzYTymm85FbObrjMf$M%^pL(zPLDZ=Y_Mvs)8{kCSJR`%
zJ$Rs95pW&{NsqdB|NdYob>~00N62}!B@P!l{6|zY0n}WKnK^cu#j1sq44g>Lp`0y6
z$iTxc{_K0y+&g*|xlhVMIe<I2VFznk&KGn`6?Y%FckdpJ0nk|oWBolK;qnewo2It1
zGEHpVI`FQ??%i5oMeSq}xR+g7QI$P|_yfMbJC%8&Irr}8&)%28!?~h$SXV1ok(#$F
z6MlXSdr9hhlkyPl{Z?2ZUdvx++G=CFYJ*Fh+_95W#Ct<bqN}VqW*Whp+Y|E;{U?*F
z5h+|(qmWuP5-GoTWMo86XBKC9ie<q;t|;yTq@-J_!SF>h42>auAd3FXKFAzL$LV%A
zYf#mgANXZ@8k}Q?Z+E!Kkcli3*P2jC^_yK818*kyKej9Te2S$d;=KDvUdtHKba!_@
zW5eGphE*cB6=6{4yTszfzcX3rR|qgpJ|th}#uWvKmZ8)4-MxF)D}eZfg%5ar11I*X
z$Q8R9bF>u>rZpEmpN?4bz69z2?~Pf#Y88zEVb1_LZ17Jk&E{v(8tW)dG?rijM0gSb
z9p7f!-sa-U?=Tpu{DrzL^JUPD;+(_9&B6^qoa<+k6&<8X7CZtFMBrzJ-*HiUhfjYm
zV98@k9p`&6tNBXCr$--nb0(;u7bLQvuWlbPG{%9NnzFHcZCKUNyQ6iNLF77t>v8Mo
z(W4;UDQH$r0+v6uXO8pVzih{6A?qjnasE6nJOY5DAd-aHk2`QnJ1@yLm~-I^TDND<
zo?e1wkq>NH)tKr*|JHHlDPHbki#Q5ASO;k636vWb7uVg`CVC$h=R7(<F3#5x(+CnU
zuo1iScX{u9%lz2>x41@N;loZomvaR5prFTB1lLg`*2(R%LlIKU=a!fLAg@)cN8msM
z!-}<Q*6i)=?Y$8SY>ns!I<F09Q~KK9tu>(7ID27I>}H^Fz`K_P9#UFiddN2tp#^D1
zu860>p#<7+URdV2?;(5^`5hU^2+cM?XnJSPoH?aA%UP3fZbE8%LM_sYr;{)`BOZ~f
zaXInJP}G&}<nKu)X{n(9iCC>S)%{4U!y`A3#KM}Casi*{4zG@X1oz)oGi8tAtS>vX
zg|nO&VIW?C<k|yE_~MqCP@3>M&I@IUg^1^v`dXK2sjAED?CJtW|3{_Mdu2<2+j@#_
z4V8yYJAL}J-&yiORQnlTmPPiUG3G3ie5{PbMNzupZ1yUQs+-9EH|x1zA7sjEL$%0J
z6(Ubr1OOq&FvxT79$3KNaOck!KB^tvZZ+hlY!2|Jif^<I!UB3~$!q*3#kKP60Du=H
zjmrNfI#^S6xT2fERj}DzF7Mw?HOO^U`lGj`vC!uc5ECKd*w)(Ms9ww4Fm&VRiQg-B
zE70Z{-L|>))Yb@Fgc*B81IL#9@qntixr)5&*K^$`P?U*?>l^bc@pQOKFDx52|NA+j
z5gPXEP(WCw4rz6At%#oY$GID+98M9rrj)X>`@26$s!6gc%4f+>qppBc$o`pXjB$w(
zyYqggn)H^z!|%zfTpu9O*)&N?NJMqX<MvmpIpnw4b#uN1EUG5g1`k&!qB-#%i@4%J
zydUno0(Y)QetPUT=>j<d$=xZ>MZum`jiq7{`JZ&c5aiH4V9qctaaC*_7ChXF7jn+7
zRaQ3D*Vn&^DUlJuF}9`(TpNdLVR6g7|C0{fecesTB}K)WrEg|t7JrJVlj_ww6juHH
zr3d-^kNy$1L{uPhA2^P+HO6Bkk>0Ix(fgR4zZ1e*J-{N)oeY!Z_$E0~NJM5I8{y=5
zF+V4ZKy_OL_wd1%?5IZaek)aRFNIgwR|pWOSKWuY(hJ&m5Thrg81nM+Z15V|i%9uh
z2yodiV>Hs>+xviK@N`8L>-m7X<U|DRi~|}Vj&p#`)CIp`#Pq~)TN>E4?U%4upeJ?t
zo=(7J1Pd9sx~4DB;A=|%F|CZE8+CSe0@<OL{!?uUq5@fbOMd-zGsZ&mADEN70t<pX
z?&vXebi!yLEG=)}4-O9c2Oy}*GQrpA46|Z?9})!@;dGOSUV`vicPH($pxP=;E~f*~
zbt%i#x-Pe#q2kuL``>5Efrf;4#jrN;w(Yb1T=76MBq-ZBL2pNCh{!b>W@zb}awSww
z?qlP0_67eD<aZYtCQi1pVw^Xzpm{$gzS9__Qy^Q6NvJKO2IN?AT$jP9#?&1t1^~32
z*1X(B@lBL#BA8ggYV!T)??3|xbM6ILcm)eZ)L>fSrx0S!CejL)IPSw$00og~GJ~x}
z=3G(W;3wR7LF%m1Fk-^OG5#5)?spIfC+tbbE5Z(r&n8ZgKD^^q`8BUaf&0Y8lK@I9
z>g((4{^Bzq!9F1mx)D(=!GA1E0@V$nqD07=-b0bG53@4e<u)7TpL9TYU#p^WvvY;y
zzURpH23~>6Z7)UdBf~F?Cu^p?oGb*)*9l)|B3H@U-o9fe!lAaZ1n#)7g-c(*{>3>5
z-e-OEcjo8k#QjSi@jFR6-jVk=N=+1;g8Ud{jx;tHpz%O{FY3X0!##q{V*mXU_=f_Q
zo>NmAeap{g>_tj+R@ulM!q3RVRU5^F3eU+_#I}A6#bmpPOe7slNy5BO+&c^Awmy`(
z5&F2IP`&9&N)1wZd|pqGr^rL^L-L`Fog0eA*Z^^x-QVp45T<Y3xX~~M80y7sb#qcu
zKzc(4O@yblAxt#=e-@a8nztTK?!muS?Rk9U$!uUA>H2S&RQJg2vHji0k2gUTOho#X
z(-O*^a{=*{_xRL>@ht}p4A>C50_!_tXbAM?=!35Z$l2`Dth9_K&^-UYYdF~~ON$%n
zKe*&8<bEwSM0iWR3@T?2AJ6AR3Co~%Up^Vhda?T@8fHp<YJcQ|=tj_Yc)Qm}@)2h7
zG7J#B=dWDc-pV8QybTLdi4(ITVC=7jl4{=d-;h9R(L99Xg_pVG=UV4|YoTz|AfI)(
zet-flG=Ki<wr>+#A%$(zE<vr#9+IVFYhj+8RUw_p!U!_QT}L@qU?!DAKfWe4B@gXm
z0d8%TmmMR&7YV@-v=AQyfiDT7>a$E)+puj!O~R)%i2ar>`0ojzuQ$!yjeB*RKM=ER
z(7BR6x7BKBu8>d-gs!?c?Pb^P1e*E&eXc!8r#MIw6(?}FFMnYrFks|YL#UjPP(fNx
z+`7g;f&I%nCdzvw^sXO2s)_!57X)UJ4AmdM+<u_2u+UxY7)$?$-gfTSpHFJfZpf!T
z&-^@*R1VNTgpoV1m=L{r56;;i+6n%r{cmppp2v{NO#uS$0crTTiG-vjc{d)UD3{8P
zXHy+}m@Hrri^$pZD1>O<`!v4+p#Z=a_Wi$h%&j2a->{EZ{40O_*#7sw-{pVjmz-J1
z#hwaWa6$y5x69|?V+8;BfBv-GGuS3F(7=er$tcNa?bPSb38)VGLeSl0TOkaUMZPS9
z6c*8t6%QnuXkUF#1{EAQ9Nb_+(ac90QMYq^9e){c7v_=F8L0Pz&HI&9#mey0dPYcS
z=s{GQgrT8B*6Ia3tb+udhP<WIRs8*%A3+K)0|9y7fGM4X=Sbp_5iD<9(IQM5WyiwJ
zn}GJCB(tofkfrN+p#xQ`H&AvyeO0#U8LiUrvZ_bvApG|2R3iRkYzN9ndeDT8O9BG|
zVBiDmdpV*8JW3>20u(Wc1c5}awYBxr<fI7{WB|*J%QXVk>SevYsUxa<CrY1jk*_D>
zw+^^@9YNVZlD6U)1hfrtC;<nJ3Y{@j)6Lc#3Of3`Ud7Ka9oH85c@aSqe+)-~h?G<a
z8DA!6@$5CwTF|9KxLoP`-Q6?CQ429+yU)NIG;Aa0H`uuOA!OFP(D@4&W`iNz81&QB
z)KvYlM^n>IxfS_Yn~f~pZ;{pk&$rucY1N#=PjJ3unL62~V6rYyTI;lQb#utD^{&lX
zC)!%IV9}o_LILY2BNKebX}wip!>7^F$_WWj-Z$v*jPCdBK8D=;(qpi#qz#&cWvI^z
zzXADv>;<ox0r%;yo*p~AN~ugX=es(I<T9q2HrYLE4;L4Xqoe3hgsth}fbsC|uC8mx
zO8|2Y;WAf@%pm!kAjPTr=McVfw!rmO6|(`ryM(uOtgnrYot(jlrCN-up^*%HbK{X<
zR7kRzWeeA%D6o1j>lNvQ9Q=%WlOxD6I~E6J53RJZIG`Z#>xkwLMFctJA#fF<M_6U*
zI%#NKuL$rwckWy-E|&oW3fN)hkg6E3wc;|0M4-E`p#0U|-8Bd1y?sOvMbH#kx^xX=
z8VxI(&@o}r<^*Yk$nqFV{(Au6KX}e197HnKSY>^^iGzcKFFa&0q~)~*SOSI_o;>*&
z=l3Bxunv%S1gaTBAy}J@LPk89>(i70Ar+;X8YH|_v~V~=8zWLT3M;=YSh3B55FjiF
zOhr#T95^LaF99rm5L*1Z;o&sMY);U>31!3md~8|zU_+}`uO?Na@!r>(U{SBY^2yo8
zLU{=NkR6M4>OgK1Qd~wPFG<N%Y^{pQN^O`@-r$tuPTxyQx!gXO6^y`b!=Zwbp7F}$
zT@+>gYr(p!SfGoNU<X#Q(?OB^Z9YnQ*)xcK$?)GDb2KmZ&+~8wP)vpuz(x#H6i?d4
zNUHnVC=d0C1+kOKfYBR8*Kgi*#Dy?rC*y3Gp`QK*-~LgQ^xC!M%1_creXiJq>&7^U
zGm!$eY}-3}<@DDlZ|%_Bl4oUpz$J!{Ud}_`+b{t!2Xxqpk%@}F6VixHuLorJei(a{
zi>vT8lVMdbV<(fYrzYvHVFnwF;wUzxO|K$$wOtG<nx>F{asbyd$NGWWq{?LsV)teD
zVAR(iQssyMIY79XFFY_ccpaVojBP{4+m$)ZqNvm#P=wS2`bh(e6eC>5xCV1FjG*c{
ze^HTGNW=%jCd^%>F%V4%$@KU4&tyS*j6q3Rig9V#hBwfQhI*vl-GUN_o<TVjtaS#l
z1IZ$yF-%e|^uhDSh$-c5=rCqv(i~t&fTn1WIy?yvEK%uA8=-k5wzpd|44j<@)GaFq
z@%MY=h#fXSx&mFNGp1o89z!s+>otUJ0Sa=D_Yk6WFB%WRXv7*3VcUJv7EV|hd}PD~
zwtvf%ioCo&j0IsaF^3}pVKlpX(&<<yPORec0*o^rZ7U$6BNoxiExT~wL}6#tK>o~3
z9z+VXAeBriXaQ7^IIIk<eB*?55Swn7#lz46{?8r*Jb#F@uRJk`)8X+P(Q8QkW57pr
zZYQD^@>UX6urs5c@JqSNhP1Q}qe`e;Y=VN35x9o)6<%3RhM@w#6>d1nYZ2?pXu4$M
z<CBJZOFy37SaP}q<b}+`Ql9TAR_5M`4MRMSO-uq~5ILk6DBjkSaZ1Nanl#!}N4Za*
zDqTuN{;V8V0nL(PXn_g9=;J;J-9X4{aRIJ6rS>P{Z?As~h@<~yb^p)l9(Hem6}uZJ
zC%PafSJr=NK0(UxBatN~r;EQpr;sWOgiKknS$psA3OOF{j9rF3{r*;bFiAYw1Uiu$
z;-osg2L(++;&>}Lf8M-uH|b-&Z|uB~LHxe?cXf6~rJW59c7NehfPrG~^AIoTqC7_H
zd^IxigMW0)(GVIba8Bj>PkqXpNYT5yGrMcxYRl>eViF5Ai@!k0X?g9}5_r4$<zFTx
z(!<ylgy7rlm~_FGJf*AbQstiJ^Xrl&pO(m9DzpMgp)2v;UnrybnE&5J<h!BO7P;~u
zgw0LZI_j8QlcazDJc!w#MZFv79FeVQEuITF!6*H8e1zY+!gKJSCY1aW@2rCGss?Ed
zG2|>%^PYaJtLE{)>Y7@<9qI*?yy?`|w4&s>!%R_>&GXsXy1G?aD{iSZ-$Lc54}v&5
zmQ+)>I_F($QQWE+hM{0n`4)NZ!V~zKyLlEE&TOcc?!{Kf>BU@N?UpIg9uP8*!2-m-
zo_;K@_x%A1TQ29icI-@@0cMU&8|{pMbwE4cIPyi}XK7n2zp4XbzdhJT+(pNAK#V_K
z`mut=H`%v07kQz_23W@NcG=Rk2D?$AkD!s1mv_tc6ukev5`Z?h{B4sDrreA*7c7q2
zlD<zzrxv{Ylc!ZP8*H9I0%hnU*=yIXZT1?nFyU6{lM4PvHOwG1U!gghqNa8cYQUL|
zQVww;(RzWD;Z?Z;#s0?eHe|)<Z2>BV=0-*^Dqt7-!es}oh;7@9_#6)^r^Uv$XAi&F
zs}RD%)R|hm{E-BxtiFwnP3mukEA5a=!LX)Kv5o2Wh6f6X;?dWZrqZ^y!$47Cy!k<-
z1Ii;n?JEL+=h8d4YDGMF+CY<$(L#e#Sgg4d2XsdlrM_C6s4S1311X?kxW{oQai9QU
z*@-u0Ff~bWmrXQhl5YV9YO#wR<Mi#>yO*HJniNePh|n>^{;2O6A$rglu!YosOA|T<
z_C=&py+en{eFWpv)6?5V<<-)OUx18^Wv^PbYOD>n(1DNQ^62RCH_10}J{|zJHAIcI
zp;!r*;2RzGCWr+@Mnn%#HTkL#&5#89;WpI=5E+9(wV$Z4FD~LJNv(&XvfY#<rU^>R
zIdK@B4tj)CAu)}r1p-|FFV&IUjrw{brUaQz3(T3*k9H(Ohz+CBRnWGG`MS0^z)wm_
z%Hf|s<`LX7ntT2F^>65U>%|};qKFn(eZTV%rXj4B_-D`dfy7%PA=iPrDUOrd<kg}`
zXi-1+WE>6@C)Ai{NAVsx3K^kEdEG|UIIVE^BPtYi^;e#F)9?%y8lnI}x~ePiIzeoG
zMEtmN<q86MGL#^zn84{oGF#d<IV~-1=>{ue=SoCU6<WA30#D=T=O@Ysfj{Wq(*xQa
zR&E1_yo(Ey0Kh<=20H-}1hbq>Qc%K#XfnOr<O<A2zzIoEj_^rQxD4<mkVX()v}$C5
zeGP=(U?9fAD6tC9`!9vav|)%~1EH*^k1a!Lxu`7M9{-(>a{ZNibleJ;0S^vSe%4O{
u`qBD-l)Jq@$usr;f5|&di~jdc$oEB!rBrG4Z@ihi6l2eU-KjgRgZ~eAJ36oc

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/jquery-3.5.1.js b/docs/0.10.3/html/_static/jquery-3.5.1.js
new file mode 100644
index 000000000..50937333b
--- /dev/null
+++ b/docs/0.10.3/html/_static/jquery-3.5.1.js
@@ -0,0 +1,10872 @@
+/*!
+ * jQuery JavaScript Library v3.5.1
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2020-05-04T22:49Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+	return arr.flat.call( array );
+} : function( array ) {
+	return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+      // Support: Chrome <=57, Firefox <=52
+      // In some browsers, typeof returns "function" for HTML <object> elements
+      // (i.e., `typeof document.createElement( "object" ) === "function"`).
+      // We don't want to classify *any* DOM node as a function.
+      return typeof obj === "function" && typeof obj.nodeType !== "number";
+  };
+
+
+var isWindow = function isWindow( obj ) {
+		return obj != null && obj === obj.window;
+	};
+
+
+var document = window.document;
+
+
+
+	var preservedScriptAttributes = {
+		type: true,
+		src: true,
+		nonce: true,
+		noModule: true
+	};
+
+	function DOMEval( code, node, doc ) {
+		doc = doc || document;
+
+		var i, val,
+			script = doc.createElement( "script" );
+
+		script.text = code;
+		if ( node ) {
+			for ( i in preservedScriptAttributes ) {
+
+				// Support: Firefox 64+, Edge 18+
+				// Some browsers don't support the "nonce" property on scripts.
+				// On the other hand, just using `getAttribute` is not enough as
+				// the `nonce` attribute is reset to an empty string whenever it
+				// becomes browsing-context connected.
+				// See https://github.com/whatwg/html/issues/2369
+				// See https://html.spec.whatwg.org/#nonce-attributes
+				// The `node.getAttribute` check was added for the sake of
+				// `jQuery.globalEval` so that it can fake a nonce-containing node
+				// via an object.
+				val = node[ i ] || node.getAttribute && node.getAttribute( i );
+				if ( val ) {
+					script.setAttribute( i, val );
+				}
+			}
+		}
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+
+
+function toType( obj ) {
+	if ( obj == null ) {
+		return obj + "";
+	}
+
+	// Support: Android <=2.3 only (functionish RegExp)
+	return typeof obj === "object" || typeof obj === "function" ?
+		class2type[ toString.call( obj ) ] || "object" :
+		typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.5.1",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	even: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return ( i + 1 ) % 2;
+		} ) );
+	},
+
+	odd: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return i % 2;
+		} ) );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				copy = options[ name ];
+
+				// Prevent Object.prototype pollution
+				// Prevent never-ending loop
+				if ( name === "__proto__" || target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+					src = target[ name ];
+
+					// Ensure proper type for the source value
+					if ( copyIsArray && !Array.isArray( src ) ) {
+						clone = [];
+					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+						clone = {};
+					} else {
+						clone = src;
+					}
+					copyIsArray = false;
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	// Evaluates a script in a provided context; falls back to the global one
+	// if not specified.
+	globalEval: function( code, options, doc ) {
+		DOMEval( code, { nonce: options && options.nonce }, doc );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+					[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return flat( ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+function( _i, name ) {
+	class2type[ "[object " + name + "]" ] = name.toLowerCase();
+} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = toType( obj );
+
+	if ( isFunction( obj ) || isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.5
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2020-03-14
+ */
+( function( window ) {
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	nonnativeSelectorCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ( {} ).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	pushNative = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[ i ] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+		"ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+
+		// "Attribute values must be CSS identifiers [capture 5]
+		// or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+		whitespace + "*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+		whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+		"*" ),
+	rdescend = new RegExp( whitespace + "|>" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace +
+			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rhtml = /HTML$/i,
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+	funescape = function( escape, nonHex ) {
+		var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+		return nonHex ?
+
+			// Strip the backslash prefix from a non-hex escape sequence
+			nonHex :
+
+			// Replace a hexadecimal escape sequence with the encoded Unicode code point
+			// Support: IE <=11+
+			// For values outside the Basic Multilingual Plane (BMP), manually construct a
+			// surrogate pair
+			high < 0 ?
+				String.fromCharCode( high + 0x10000 ) :
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" +
+				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	inDisabledFieldset = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		( arr = slice.call( preferredDoc.childNodes ) ),
+		preferredDoc.childNodes
+	);
+
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	// eslint-disable-next-line no-unused-expressions
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			pushNative.apply( target, slice.call( els ) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+
+			// Can't trust NodeList.length
+			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+		setDocument( context );
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+				// ID selector
+				if ( ( m = match[ 1 ] ) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( ( elem = context.getElementById( m ) ) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[ 2 ] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!nonnativeSelectorCache[ selector + " " ] &&
+				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+				// Support: IE 8 only
+				// Exclude object elements
+				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+				newSelector = selector;
+				newContext = context;
+
+				// qSA considers elements outside a scoping root when evaluating child or
+				// descendant combinators, which is not what we want.
+				// In such cases, we work around the behavior by prefixing every selector in the
+				// list with an ID selector referencing the scope context.
+				// The technique has to be used as well when a leading combinator is used
+				// as such selectors are not recognized by querySelectorAll.
+				// Thanks to Andrew Dupont for this technique.
+				if ( nodeType === 1 &&
+					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+
+					// We can use :scope instead of the ID hack if the browser
+					// supports it & if we're not changing the context.
+					if ( newContext !== context || !support.scope ) {
+
+						// Capture the context ID, setting it first if necessary
+						if ( ( nid = context.getAttribute( "id" ) ) ) {
+							nid = nid.replace( rcssescape, fcssescape );
+						} else {
+							context.setAttribute( "id", ( nid = expando ) );
+						}
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+							toSelector( groups[ i ] );
+					}
+					newSelector = groups.join( "," );
+				}
+
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch ( qsaError ) {
+					nonnativeSelectorCache( selector, true );
+				} finally {
+					if ( nid === expando ) {
+						context.removeAttribute( "id" );
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return ( cache[ key + " " ] = value );
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement( "fieldset" );
+
+	try {
+		return !!fn( el );
+	} catch ( e ) {
+		return false;
+	} finally {
+
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split( "|" ),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[ i ] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( ( cur = cur.nextSibling ) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return ( name === "input" || name === "button" ) && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+					inDisabledFieldset( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction( function( argument ) {
+		argument = +argument;
+		return markFunction( function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+					seed[ j ] = !( matches[ j ] = seed[ j ] );
+				}
+			}
+		} );
+	} );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	var namespace = elem.namespaceURI,
+		docElem = ( elem.ownerDocument || elem ).documentElement;
+
+	// Support: IE <=8
+	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+	// https://bugs.jquery.com/ticket/4833
+	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9 - 11+, Edge 12 - 18+
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( preferredDoc != document &&
+		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
+	// IE/Edge & older browsers don't support the :scope pseudo-class.
+	// Support: Safari 6.0 only
+	// Safari 6.0 supports :scope but it's an alias of :root there.
+	support.scope = assert( function( el ) {
+		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+		return typeof el.querySelectorAll !== "undefined" &&
+			!el.querySelectorAll( ":scope fieldset div" ).length;
+	} );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert( function( el ) {
+		el.className = "i";
+		return !el.getAttribute( "className" );
+	} );
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert( function( el ) {
+		el.appendChild( document.createComment( "" ) );
+		return !el.getElementsByTagName( "*" ).length;
+	} );
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert( function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	} );
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter[ "ID" ] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute( "id" ) === attrId;
+			};
+		};
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter[ "ID" ] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode( "id" );
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode( "id" );
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( ( elem = elems[ i++ ] ) ) {
+						node = elem.getAttributeNode( "id" );
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find[ "TAG" ] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( ( elem = results[ i++ ] ) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert( function( el ) {
+
+			var input;
+
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll( "[selected]" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push( "~=" );
+			}
+
+			// Support: IE 11+, Edge 15 - 18+
+			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
+			// Adding a temporary attribute to the document before the selection works
+			// around the issue.
+			// Interestingly, IE 10 & older don't seem to have the issue.
+			input = document.createElement( "input" );
+			input.setAttribute( "name", "" );
+			el.appendChild( input );
+			if ( !el.querySelectorAll( "[name='']" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+					whitespace + "*(?:''|\"\")" );
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll( ":checked" ).length ) {
+				rbuggyQSA.push( ":checked" );
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push( ".#.+[+~]" );
+			}
+
+			// Support: Firefox <=3.6 - 5 only
+			// Old Firefox doesn't throw on a badly-escaped identifier.
+			el.querySelectorAll( "\\\f" );
+			rbuggyQSA.push( "[\\r\\n\\f]" );
+		} );
+
+		assert( function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement( "input" );
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll( "[name=d]" ).length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: Opera 10 - 11 only
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll( "*,:x" );
+			rbuggyQSA.push( ",.*:" );
+		} );
+	}
+
+	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector ) ) ) ) {
+
+		assert( function( el ) {
+
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		} );
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			) );
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( ( b = b.parentNode ) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		// Support: IE 11+, Edge 17 - 18+
+		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+		// two documents; shallow comparisons work.
+		// eslint-disable-next-line eqeqeq
+		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+			// Choose the first element that is related to our preferred document
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( a == document || a.ownerDocument == preferredDoc &&
+				contains( preferredDoc, a ) ) {
+				return -1;
+			}
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( b == document || b.ownerDocument == preferredDoc &&
+				contains( preferredDoc, b ) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			return a == document ? -1 :
+				b == document ? 1 :
+				/* eslint-enable eqeqeq */
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( ( cur = cur.parentNode ) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( ( cur = cur.parentNode ) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[ i ] === bp[ i ] ) {
+			i++;
+		}
+
+		return i ?
+
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[ i ], bp[ i ] ) :
+
+			// Otherwise nodes in our document sort first
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			ap[ i ] == preferredDoc ? -1 :
+			bp[ i ] == preferredDoc ? 1 :
+			/* eslint-enable eqeqeq */
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	setDocument( elem );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!nonnativeSelectorCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+
+				// As well, disconnected nodes are said to be in a document
+				// fragment in IE 9
+				elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch ( e ) {
+			nonnativeSelectorCache( expr, true );
+		}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( context.ownerDocument || context ) != document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( elem.ownerDocument || elem ) != document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			( val = elem.getAttributeNode( name ) ) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( ( elem = results[ i++ ] ) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+
+		// If no nodeType, this is expected to be an array
+		while ( ( node = elem[ i++ ] ) ) {
+
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+				match[ 5 ] || "" ).replace( runescape, funescape );
+
+			if ( match[ 2 ] === "~=" ) {
+				match[ 3 ] = " " + match[ 3 ] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[ 1 ] = match[ 1 ].toLowerCase();
+
+			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+				// nth-* requires argument
+				if ( !match[ 3 ] ) {
+					Sizzle.error( match[ 0 ] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[ 4 ] = +( match[ 4 ] ?
+					match[ 5 ] + ( match[ 6 ] || 1 ) :
+					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+				// other types prohibit arguments
+			} else if ( match[ 3 ] ) {
+				Sizzle.error( match[ 0 ] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[ 6 ] && match[ 2 ];
+
+			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[ 3 ] ) {
+				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+
+				// Get excess from tokenize (recursively)
+				( excess = tokenize( unquoted, true ) ) &&
+
+				// advance to the next closing parenthesis
+				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+				// excess is a negative index
+				match[ 0 ] = match[ 0 ].slice( 0, excess );
+				match[ 2 ] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() {
+					return true;
+				} :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				( pattern = new RegExp( "(^|" + whitespace +
+					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+						className, function( elem ) {
+							return pattern.test(
+								typeof elem.className === "string" && elem.className ||
+								typeof elem.getAttribute !== "undefined" &&
+									elem.getAttribute( "class" ) ||
+								""
+							);
+				} );
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				/* eslint-disable max-len */
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+				/* eslint-enable max-len */
+
+			};
+		},
+
+		"CHILD": function( type, what, _argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, _context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( ( node = node[ dir ] ) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								( outerCache[ node.uniqueID ] = {} );
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+
+							// Use previously-cached element index if available
+							if ( useCache ) {
+
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									( outerCache[ node.uniqueID ] = {} );
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+
+								// Use the same loop as above to seek `elem` from the start
+								while ( ( node = ++nodeIndex && node && node[ dir ] ||
+									( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] ||
+												( node[ expando ] = {} );
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												( outerCache[ node.uniqueID ] = {} );
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction( function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[ i ] );
+							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+						}
+					} ) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+
+		// Potentially complex pseudos
+		"not": markFunction( function( selector ) {
+
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction( function( seed, matches, _context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( ( elem = unmatched[ i ] ) ) {
+							seed[ i ] = !( matches[ i ] = elem );
+						}
+					}
+				} ) :
+				function( elem, _context, xml ) {
+					input[ 0 ] = elem;
+					matcher( input, null, xml, results );
+
+					// Don't keep the element (issue #299)
+					input[ 0 ] = null;
+					return !results.pop();
+				};
+		} ),
+
+		"has": markFunction( function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		} ),
+
+		"contains": markFunction( function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+			};
+		} ),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+
+			// lang value must be a valid identifier
+			if ( !ridentifier.test( lang || "" ) ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( ( elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+				return false;
+			};
+		} ),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement &&
+				( !document.hasFocus || document.hasFocus() ) &&
+				!!( elem.type || elem.href || ~elem.tabIndex );
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return ( nodeName === "input" && !!elem.checked ) ||
+				( nodeName === "option" && !!elem.selected );
+		},
+
+		"selected": function( elem ) {
+
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				// eslint-disable-next-line no-unused-expressions
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos[ "empty" ]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( ( attr = elem.getAttribute( "type" ) ) == null ||
+					attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo( function() {
+			return [ 0 ];
+		} ),
+
+		"last": createPositionalPseudo( function( _matchIndexes, length ) {
+			return [ length - 1 ];
+		} ),
+
+		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		} ),
+
+		"even": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"odd": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ?
+				argument + length :
+				argument > length ?
+					length :
+					argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} )
+	}
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+			if ( match ) {
+
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[ 0 ].length ) || soFar;
+			}
+			groups.push( ( tokens = [] ) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( ( match = rcombinators.exec( soFar ) ) ) {
+			matched = match.shift();
+			tokens.push( {
+				value: matched,
+
+				// Cast descendant combinators to space
+				type: match[ 0 ].replace( rtrim, " " )
+			} );
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+				( match = preFilters[ type ]( match ) ) ) ) {
+				matched = match.shift();
+				tokens.push( {
+					value: matched,
+					type: type,
+					matches: match
+				} );
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[ i ].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( ( elem = elem[ dir ] ) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] ||
+							( outerCache[ elem.uniqueID ] = {} );
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( ( oldCache = uniqueCache[ key ] ) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return ( newCache[ 2 ] = oldCache[ 2 ] );
+						} else {
+
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[ i ]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[ i ], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( ( elem = unmatched[ i ] ) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction( function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts(
+				selector || "*",
+				context.nodeType ? [ context ] : context,
+				[]
+			),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( ( elem = temp[ i ] ) ) {
+					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( ( elem = matcherOut[ i ] ) ) {
+
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( ( matcherIn[ i ] = elem ) );
+						}
+					}
+					postFinder( null, ( matcherOut = [] ), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( ( elem = matcherOut[ i ] ) &&
+						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+						seed[ temp ] = !( results[ temp ] = elem );
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	} );
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+		implicitRelative = leadingRelative || Expr.relative[ " " ],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				( checkContext = context ).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+		} else {
+			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[ j ].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+
+					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+					tokens
+						.slice( 0, i - 1 )
+						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+				len = elems.length;
+
+			if ( outermost ) {
+
+				// Support: IE 11+, Edge 17 - 18+
+				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+				// two documents; shallow comparisons work.
+				// eslint-disable-next-line eqeqeq
+				outermostContext = context == document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+
+					// Support: IE 11+, Edge 17 - 18+
+					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+					// two documents; shallow comparisons work.
+					// eslint-disable-next-line eqeqeq
+					if ( !context && elem.ownerDocument != document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( ( matcher = elementMatchers[ j++ ] ) ) {
+						if ( matcher( elem, context || document, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+
+					// They will have gone through all possible matchers
+					if ( ( elem = !matcher && elem ) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( ( matcher = setMatchers[ j++ ] ) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+								setMatched[ i ] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[ i ] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache(
+			selector,
+			matcherFromGroupMatchers( elementMatchers, setMatchers )
+		);
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+				.replace( runescape, funescape ), context ) || [] )[ 0 ];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[ i ];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ ( type = token.type ) ] ) {
+				break;
+			}
+			if ( ( find = Expr.find[ type ] ) ) {
+
+				// Search, expanding context for leading sibling combinators
+				if ( ( seed = find(
+					token.matches[ 0 ].replace( runescape, funescape ),
+					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+						context
+				) ) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	} );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+	addHandle( "value", function( elem, _name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	} );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+	return el.getAttribute( "disabled" ) == null;
+} ) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+				( val = elem.getAttributeNode( name ) ) && val.specified ?
+					val.value :
+					null;
+		}
+	} );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+  return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+};
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Filtered directly for both simple and complex selectors
+	return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, _i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, _i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, _i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+		if ( elem.contentDocument != null &&
+
+			// Support: IE 11+
+			// <object> elements with no `data` attribute has an object
+			// `contentDocument` with a `null` prototype.
+			getProto( elem.contentDocument ) ) {
+
+			return elem.contentDocument;
+		}
+
+		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+		// Treat the template element as a regular one in browsers that
+		// don't support it.
+		if ( nodeName( elem, "template" ) ) {
+			elem = elem.content || elem;
+		}
+
+		return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( _i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// rejected_handlers.disable
+					// fulfilled_handlers.disable
+					tuples[ 3 - i ][ 3 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock,
+
+					// progress_handlers.lock
+					tuples[ 0 ][ 3 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the master Deferred
+			master = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						master.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( master.state() === "pending" ||
+				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return master.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
+		}
+
+		return master.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( toType( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, _key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+					value :
+					value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+	return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( camelCase );
+			} else {
+				key = camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+	var isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem );
+		},
+		composed = { composed: true };
+
+	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+	// Check attachment across shadow DOM boundaries when possible (gh-3504)
+	// Support: iOS 10.0-10.2 only
+	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+	// leading to errors. We need to check for `getRootNode`.
+	if ( documentElement.getRootNode ) {
+		isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem ) ||
+				elem.getRootNode( composed ) === elem.ownerDocument;
+		};
+	}
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			isAttached( elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted, scale,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = elem.nodeType &&
+			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Support: Firefox <=54
+		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+		initial = initial / 2;
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		while ( maxIterations-- ) {
+
+			// Evaluate and update our best guess (doubling guesses that zero out).
+			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+			jQuery.style( elem, prop, initialInUnit + unit );
+			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+				maxIterations = 0;
+			}
+			initialInUnit = initialInUnit / scale;
+
+		}
+
+		initialInUnit = initialInUnit * 2;
+		jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+	// Support: IE <=9 only
+	// IE <=9 replaces <option> tags with their contents when inserted outside of
+	// the select element.
+	div.innerHTML = "<option></option>";
+	support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, attached, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( toType( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		attached = isAttached( elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( attached ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+var
+	rkeyEvent = /^key/,
+	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
+	rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+	return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Only attach events to objects that accept data
+		if ( !acceptData( elem ) ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = Object.create( null );
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+
+			// Make a writable jQuery.Event from the native event object
+			event = jQuery.event.fix( nativeEvent ),
+
+			handlers = (
+					dataPriv.get( this, "events" ) || Object.create( null )
+				)[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// If the event is namespaced, then each handler is only invoked if it is
+				// specially universal or its namespaces are a superset of the event's.
+				if ( !event.rnamespace || handleObj.namespace === false ||
+					event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+							return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+							return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		click: {
+
+			// Utilize native event to ensure correct state for checkable inputs
+			setup: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Claim the first handler
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					// dataPriv.set( el, "click", ... )
+					leverageNative( el, "click", returnTrue );
+				}
+
+				// Return false to allow normal processing in the caller
+				return false;
+			},
+			trigger: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Force setup before triggering a click
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					leverageNative( el, "click" );
+				}
+
+				// Return non-false to allow normal event-path propagation
+				return true;
+			},
+
+			// For cross-browser consistency, suppress native .click() on links
+			// Also prevent it if we're currently inside a leveraged native-event stack
+			_default: function( event ) {
+				var target = event.target;
+				return rcheckableType.test( target.type ) &&
+					target.click && nodeName( target, "input" ) &&
+					dataPriv.get( target, "click" ) ||
+					nodeName( target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+	if ( !expectSync ) {
+		if ( dataPriv.get( el, type ) === undefined ) {
+			jQuery.event.add( el, type, returnTrue );
+		}
+		return;
+	}
+
+	// Register the controller as a special universal handler for all event namespaces
+	dataPriv.set( el, type, false );
+	jQuery.event.add( el, type, {
+		namespace: false,
+		handler: function( event ) {
+			var notAsync, result,
+				saved = dataPriv.get( this, type );
+
+			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+				// Interrupt processing of the outer synthetic .trigger()ed event
+				// Saved data should be false in such cases, but might be a leftover capture object
+				// from an async native handler (gh-4350)
+				if ( !saved.length ) {
+
+					// Store arguments for use when handling the inner native event
+					// There will always be at least one argument (an event object), so this array
+					// will not be confused with a leftover capture object.
+					saved = slice.call( arguments );
+					dataPriv.set( this, type, saved );
+
+					// Trigger the native event and capture its result
+					// Support: IE <=9 - 11+
+					// focus() and blur() are asynchronous
+					notAsync = expectSync( this, type );
+					this[ type ]();
+					result = dataPriv.get( this, type );
+					if ( saved !== result || notAsync ) {
+						dataPriv.set( this, type, false );
+					} else {
+						result = {};
+					}
+					if ( saved !== result ) {
+
+						// Cancel the outer synthetic event
+						event.stopImmediatePropagation();
+						event.preventDefault();
+						return result.value;
+					}
+
+				// If this is an inner synthetic event for an event with a bubbling surrogate
+				// (focus or blur), assume that the surrogate already propagated from triggering the
+				// native event and prevent that from happening again here.
+				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
+				// less bad than duplication.
+				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+					event.stopPropagation();
+				}
+
+			// If this is a native event triggered above, everything is now in order
+			// Fire an inner synthetic event with the original arguments
+			} else if ( saved.length ) {
+
+				// ...and capture the result
+				dataPriv.set( this, type, {
+					value: jQuery.event.trigger(
+
+						// Support: IE <=9 - 11+
+						// Extend with the prototype to reset the above stopImmediatePropagation()
+						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+						saved.slice( 1 ),
+						this
+					)
+				} );
+
+				// Abort handling of the native event
+				event.stopImmediatePropagation();
+			}
+		}
+	} );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || Date.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	code: true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+
+	which: function( event ) {
+		var button = event.button;
+
+		// Add which for key events
+		if ( event.which == null && rkeyEvent.test( event.type ) ) {
+			return event.charCode != null ? event.charCode : event.keyCode;
+		}
+
+		// Add which for click: 1 === left; 2 === middle; 3 === right
+		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
+			if ( button & 1 ) {
+				return 1;
+			}
+
+			if ( button & 2 ) {
+				return 3;
+			}
+
+			if ( button & 4 ) {
+				return 2;
+			}
+
+			return 0;
+		}
+
+		return event.which;
+	}
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+	jQuery.event.special[ type ] = {
+
+		// Utilize native event if possible so blur/focus sequence is correct
+		setup: function() {
+
+			// Claim the first handler
+			// dataPriv.set( this, "focus", ... )
+			// dataPriv.set( this, "blur", ... )
+			leverageNative( this, type, expectSync );
+
+			// Return false to allow normal processing in the caller
+			return false;
+		},
+		trigger: function() {
+
+			// Force setup before trigger
+			leverageNative( this, type );
+
+			// Return non-false to allow normal event-path propagation
+			return true;
+		},
+
+		delegateType: delegateType
+	};
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	// Support: IE <=10 - 11, Edge 12 - 13 only
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+		elem.type = elem.type.slice( 5 );
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.get( src );
+		events = pdataOld.events;
+
+		if ( events ) {
+			dataPriv.remove( dest, "handle events" );
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = flat( args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		valueIsFunction = isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( valueIsFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( valueIsFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl && !node.noModule ) {
+								jQuery._evalUrl( node.src, {
+									nonce: node.nonce || node.getAttribute( "nonce" )
+								}, doc );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && isAttached( node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html;
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = isAttached( elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+var swap = function( elem, options, callback ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.call( elem );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+			"margin-top:1px;padding:0;border:0";
+		div.style.cssText =
+			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"width:60%;top:1%";
+		documentElement.appendChild( container ).appendChild( div );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.right = "60%";
+		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+		// Support: IE 9 - 11 only
+		// Detect misreporting of content dimensions for box-sizing:border-box elements
+		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+		// Support: IE 9 only
+		// Detect overflow:scroll screwiness (gh-3699)
+		// Support: Chrome <=64
+		// Don't get tricked when zoom affects offsetWidth (gh-4029)
+		div.style.position = "absolute";
+		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	function roundPixelMeasures( measure ) {
+		return Math.round( parseFloat( measure ) );
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+		reliableTrDimensionsVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	jQuery.extend( support, {
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelBoxStyles: function() {
+			computeStyleTests();
+			return pixelBoxStylesVal;
+		},
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		},
+		scrollboxSize: function() {
+			computeStyleTests();
+			return scrollboxSizeVal;
+		},
+
+		// Support: IE 9 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Behavior in IE 9 is more subtle than in newer versions & it passes
+		// some versions of this test; make sure not to make it pass there!
+		reliableTrDimensions: function() {
+			var table, tr, trChild, trStyle;
+			if ( reliableTrDimensionsVal == null ) {
+				table = document.createElement( "table" );
+				tr = document.createElement( "tr" );
+				trChild = document.createElement( "div" );
+
+				table.style.cssText = "position:absolute;left:-11111px";
+				tr.style.height = "1px";
+				trChild.style.height = "9px";
+
+				documentElement
+					.appendChild( table )
+					.appendChild( tr )
+					.appendChild( trChild );
+
+				trStyle = window.getComputedStyle( tr );
+				reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
+
+				documentElement.removeChild( table );
+			}
+			return reliableTrDimensionsVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !isAttached( elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style,
+	vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+	if ( final ) {
+		return final;
+	}
+	if ( name in emptyStyle ) {
+		return name;
+	}
+	return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	};
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+	var i = dimension === "width" ? 1 : 0,
+		extra = 0,
+		delta = 0;
+
+	// Adjustment may not be necessary
+	if ( box === ( isBorderBox ? "border" : "content" ) ) {
+		return 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin
+		if ( box === "margin" ) {
+			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+		}
+
+		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+		if ( !isBorderBox ) {
+
+			// Add padding
+			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// For "border" or "margin", add border
+			if ( box !== "padding" ) {
+				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+			// But still keep track of it otherwise
+			} else {
+				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+
+		// If we get here with a border-box (content + padding + border), we're seeking "content" or
+		// "padding" or "margin"
+		} else {
+
+			// For "content", subtract padding
+			if ( box === "content" ) {
+				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// For "content" or "padding", subtract border
+			if ( box !== "margin" ) {
+				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	// Account for positive content-box scroll gutter when requested by providing computedVal
+	if ( !isBorderBox && computedVal >= 0 ) {
+
+		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+		// Assuming integer scroll gutter, subtract the rest and round down
+		delta += Math.max( 0, Math.ceil(
+			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+			computedVal -
+			delta -
+			extra -
+			0.5
+
+		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+		// Use an explicit zero to avoid NaN (gh-3964)
+		) ) || 0;
+	}
+
+	return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+	// Start with computed style
+	var styles = getStyles( elem ),
+
+		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+		// Fake content-box until we know it's needed to know the true value.
+		boxSizingNeeded = !support.boxSizingReliable() || extra,
+		isBorderBox = boxSizingNeeded &&
+			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+		valueIsBorderBox = isBorderBox,
+
+		val = curCSS( elem, dimension, styles ),
+		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+	// Support: Firefox <=54
+	// Return a confounding non-pixel value or feign ignorance, as appropriate.
+	if ( rnumnonpx.test( val ) ) {
+		if ( !extra ) {
+			return val;
+		}
+		val = "auto";
+	}
+
+
+	// Support: IE 9 - 11 only
+	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
+	// In those cases, the computed value can be trusted to be border-box.
+	if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+		// Support: IE 10 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
+		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+		// Fall back to offsetWidth/offsetHeight when value is "auto"
+		// This happens for inline elements with no explicit setting (gh-3571)
+		val === "auto" ||
+
+		// Support: Android <=4.1 - 4.3 only
+		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+		// Make sure the element is visible & connected
+		elem.getClientRects().length ) {
+
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
+		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+		// retrieved value as a content box dimension.
+		valueIsBorderBox = offsetProp in elem;
+		if ( valueIsBorderBox ) {
+			val = elem[ offsetProp ];
+		}
+	}
+
+	// Normalize "" and auto
+	val = parseFloat( val ) || 0;
+
+	// Adjust for the element's box model
+	return ( val +
+		boxModelAdjustment(
+			elem,
+			dimension,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles,
+
+			// Provide the current computed size to request scroll gutter calculation (gh-3589)
+			val
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"gridArea": true,
+		"gridColumn": true,
+		"gridColumnEnd": true,
+		"gridColumnStart": true,
+		"gridRow": true,
+		"gridRowEnd": true,
+		"gridRowStart": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+			// "px" to a few hardcoded values.
+			if ( type === "number" && !isCustomProp ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+	jQuery.cssHooks[ dimension ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+						swap( elem, cssShow, function() {
+							return getWidthOrHeight( elem, dimension, extra );
+						} ) :
+						getWidthOrHeight( elem, dimension, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = getStyles( elem ),
+
+				// Only read styles.position if the test has a chance to fail
+				// to avoid forcing a reflow.
+				scrollboxSizeBuggy = !support.scrollboxSize() &&
+					styles.position === "absolute",
+
+				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+				boxSizingNeeded = scrollboxSizeBuggy || extra,
+				isBorderBox = boxSizingNeeded &&
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+				subtract = extra ?
+					boxModelAdjustment(
+						elem,
+						dimension,
+						extra,
+						isBorderBox,
+						styles
+					) :
+					0;
+
+			// Account for unreliable border-box dimensions by comparing offset* to computed and
+			// faking a content-box to get border and padding (gh-3699)
+			if ( isBorderBox && scrollboxSizeBuggy ) {
+				subtract -= Math.ceil(
+					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+					parseFloat( styles[ dimension ] ) -
+					boxModelAdjustment( elem, dimension, "border", false, styles ) -
+					0.5
+				);
+			}
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ dimension ] = value;
+				value = jQuery.css( elem, dimension );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+				) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( prefix !== "margin" ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 && (
+					jQuery.cssHooks[ tween.prop ] ||
+					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 15
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY and Edge just mirrors
+		// the overflowX value there.
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+			/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+						animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					result.stop.bind( result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+			doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = Date.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+	if ( Array.isArray( value ) ) {
+		return value;
+	}
+	if ( typeof value === "string" ) {
+		return value.match( rnothtmlwhite ) || [];
+	}
+	return [];
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value,
+			isValidValue = type === "string" || Array.isArray( value );
+
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( isValidValue ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = classesToArray( value );
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+						"" :
+						dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+					return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, valueIsFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		valueIsFunction = isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( valueIsFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	stopPropagationCallback = function( e ) {
+		e.stopPropagation();
+	};
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = lastElement = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+			lastElement = cur;
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = (
+					dataPriv.get( cur, "events" ) || Object.create( null )
+				)[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.addEventListener( type, stopPropagationCallback );
+					}
+
+					elem[ type ]();
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.removeEventListener( type, stopPropagationCallback );
+					}
+
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+
+				// Handle: regular nodes (via `this.ownerDocument`), window
+				// (via `this.document`) & document (via `this`).
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {
+		xml = undefined;
+	}
+
+	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
+		jQuery.error( "Invalid XML: " + data );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && toType( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	if ( a == null ) {
+		return "";
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} )
+		.filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} )
+		.map( function( _i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+	originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+					jQuery( callbackContext ) :
+					jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+										.concat( match[ 2 ] );
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() + " " ];
+					}
+					return match == null ? null : match.join( ", " );
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 15
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available and should be processed, append data to url
+			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+					uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Use a noop converter for missing script
+			if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
+				s.converters[ "text script" ] = function() {};
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+	var i;
+	for ( i in s.headers ) {
+		if ( i.toLowerCase() === "content-type" ) {
+			s.contentType = s.headers[ i ] || "";
+		}
+	}
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+
+		// Only evaluate the response if it is successful (gh-4126)
+		// dataFilter is not invoked for failure responses, so using it instead
+		// of the default converter is kludgy but it works.
+		converters: {
+			"text script": function() {}
+		},
+		dataFilter: function( response ) {
+			jQuery.globalEval( response, options, doc );
+		}
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var htmlIsFunction = isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.ontimeout =
+									xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain or forced-by-attrs requests
+	if ( s.crossDomain || s.scriptAttrs ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" )
+					.attr( s.scriptAttrs || {} )
+					.prop( { charset: s.scriptCharset, src: s.url } )
+					.on( "load error", callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					} );
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			if ( typeof props.top === "number" ) {
+				props.top += "px";
+			}
+			if ( typeof props.left === "number" ) {
+				props.left += "px";
+			}
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+
+	// offset() relates an element's border box to the document origin
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
+		rect = elem.getBoundingClientRect();
+		win = elem.ownerDocument.defaultView;
+		return {
+			top: rect.top + win.pageYOffset,
+			left: rect.left + win.pageXOffset
+		};
+	},
+
+	// position() relates an element's margin box to its offset parent's padding box
+	// This corresponds to the behavior of CSS absolute positioning
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset, doc,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// position:fixed elements are offset from the viewport, which itself always has zero offset
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume position:fixed implies availability of getBoundingClientRect
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			offset = this.offset();
+
+			// Account for the *real* offset parent, which can be the document or its root element
+			// when a statically positioned element is identified
+			doc = elem.ownerDocument;
+			offsetParent = elem.offsetParent || doc.documentElement;
+			while ( offsetParent &&
+				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+				jQuery.css( offsetParent, "position" ) === "static" ) {
+
+				offsetParent = offsetParent.parentNode;
+			}
+			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+				// Incorporate borders into its offset, since they are outside its content origin
+				parentOffset = jQuery( offsetParent ).offset();
+				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+			}
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
+		function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( _i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	},
+
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( _i, name ) {
+
+		// Handle event binding
+		jQuery.fn[ name ] = function( data, fn ) {
+			return arguments.length > 0 ?
+				this.on( name, null, data, fn ) :
+				this.trigger( name );
+		};
+	} );
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+	var tmp, args, proxy;
+
+	if ( typeof context === "string" ) {
+		tmp = fn[ context ];
+		context = fn;
+		fn = tmp;
+	}
+
+	// Quick check to determine if target is callable, in the spec
+	// this throws a TypeError, but we will just return undefined.
+	if ( !isFunction( fn ) ) {
+		return undefined;
+	}
+
+	// Simulated bind
+	args = slice.call( arguments, 2 );
+	proxy = function() {
+		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+	};
+
+	// Set the guid of unique handler to the same of original handler, so it can be removed
+	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+	return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+	// As of jQuery 3.0, isNumeric is limited to
+	// strings and numbers (primitives or objects)
+	// that can be coerced to finite numbers (gh-2662)
+	var type = jQuery.type( obj );
+	return ( type === "number" || type === "string" ) &&
+
+		// parseFloat NaNs numeric-cast false positives ("")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		!isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+	return text == null ?
+		"" :
+		( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/docs/0.10.3/html/_static/jquery.js b/docs/0.10.3/html/_static/jquery.js
new file mode 100644
index 000000000..b0614034a
--- /dev/null
+++ b/docs/0.10.3/html/_static/jquery.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.5.1 | (c) JS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof e?n[o.call(e)]||"object":typeof e}var f="3.5.1",S=function(e,t){return new S.fn.init(e,t)};function p(e){var t=!!e&&"length"in e&&e.length,n=w(e);return!m(e)&&!x(e)&&("array"===n||0===t||"number"==typeof t&&0<t&&t-1 in e)}S.fn=S.prototype={jquery:f,constructor:S,length:0,toArray:function(){return s.call(this)},get:function(e){return null==e?s.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=S.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return S.each(this,e)},map:function(n){return this.pushStack(S.map(this,function(e,t){return n.call(e,t,e)}))},slice:function(){return this.pushStack(s.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(S.grep(this,function(e,t){return(t+1)%2}))},odd:function(){return this.pushStack(S.grep(this,function(e,t){return t%2}))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(0<=n&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:u,sort:t.sort,splice:t.splice},S.extend=S.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for("boolean"==typeof a&&(l=a,a=arguments[s]||{},s++),"object"==typeof a||m(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],"__proto__"!==t&&a!==r&&(l&&r&&(S.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||S.isPlainObject(n)?n:{},i=!1,a[t]=S.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},S.extend({expando:"jQuery"+(f+Math.random()).replace(/\D/g,""),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||"[object Object]"!==o.call(e))&&(!(t=r(e))||"function"==typeof(n=v.call(t,"constructor")&&t.constructor)&&a.call(n)===l)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){b(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(p(e)){for(n=e.length;r<n;r++)if(!1===t.call(e[r],r,e[r]))break}else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(p(Object(e))?S.merge(n,"string"==typeof e?[e]:e):u.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:i.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,o=0,a=[];if(p(e))for(r=e.length;o<r;o++)null!=(i=t(e[o],o,n))&&a.push(i);else for(o in e)null!=(i=t(e[o],o,n))&&a.push(i);return g(a)},guid:1,support:y}),"function"==typeof Symbol&&(S.fn[Symbol.iterator]=t[Symbol.iterator]),S.each("Boolean Number String Function Array Date RegExp Object Error Symbol".split(" "),function(e,t){n["[object "+t+"]"]=t.toLowerCase()});var d=function(n){var e,d,b,o,i,h,f,g,w,u,l,T,C,a,E,v,s,c,y,S="sizzle"+1*new Date,p=n.document,k=0,r=0,m=ue(),x=ue(),A=ue(),N=ue(),D=function(e,t){return e===t&&(l=!0),0},j={}.hasOwnProperty,t=[],q=t.pop,L=t.push,H=t.push,O=t.slice,P=function(e,t){for(var n=0,r=e.length;n<r;n++)if(e[n]===t)return n;return-1},R="checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped",M="[\\x20\\t\\r\\n\\f]",I="(?:\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",W="\\["+M+"*("+I+")(?:"+M+"*([*^$|!~]?=)"+M+"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|("+I+"))|)"+M+"*\\]",F=":("+I+")(?:\\((('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|((?:\\\\.|[^\\\\()[\\]]|"+W+")*)|.*)\\)|)",B=new RegExp(M+"+","g"),$=new RegExp("^"+M+"+|((?:^|[^\\\\])(?:\\\\.)*)"+M+"+$","g"),_=new RegExp("^"+M+"*,"+M+"*"),z=new RegExp("^"+M+"*([>+~]|"+M+")"+M+"*"),U=new RegExp(M+"|>"),X=new RegExp(F),V=new RegExp("^"+I+"$"),G={ID:new RegExp("^#("+I+")"),CLASS:new RegExp("^\\.("+I+")"),TAG:new RegExp("^("+I+"|[*])"),ATTR:new RegExp("^"+W),PSEUDO:new RegExp("^"+F),CHILD:new RegExp("^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\("+M+"*(even|odd|(([+-]|)(\\d*)n|)"+M+"*(?:([+-]|)"+M+"*(\\d+)|))"+M+"*\\)|)","i"),bool:new RegExp("^(?:"+R+")$","i"),needsContext:new RegExp("^"+M+"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\("+M+"*((?:-\\d)?\\d*)"+M+"*\\)|)(?=[^-]|$)","i")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\d$/i,K=/^[^{]+\{\s*\[native \w/,Z=/^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,ee=/[+~]/,te=new RegExp("\\\\[\\da-fA-F]{1,6}"+M+"?|\\\\([^\\r\\n\\f])","g"),ne=function(e,t){var n="0x"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,ie=function(e,t){return t?"\0"===e?"\ufffd":e.slice(0,-1)+"\\"+e.charCodeAt(e.length-1).toString(16)+" ":"\\"+e},oe=function(){T()},ae=be(function(e){return!0===e.disabled&&"fieldset"===e.nodeName.toLowerCase()},{dir:"parentNode",next:"legend"});try{H.apply(t=O.call(p.childNodes),p.childNodes),t[p.childNodes.length].nodeType}catch(e){H={apply:t.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){var n=e.length,r=0;while(e[n++]=t[r++]);e.length=n-1}}}function se(t,e,n,r){var i,o,a,s,u,l,c,f=e&&e.ownerDocument,p=e?e.nodeType:9;if(n=n||[],"string"!=typeof t||!t||1!==p&&9!==p&&11!==p)return n;if(!r&&(T(e),e=e||C,E)){if(11!==p&&(u=Z.exec(t)))if(i=u[1]){if(9===p){if(!(a=e.getElementById(i)))return n;if(a.id===i)return n.push(a),n}else if(f&&(a=f.getElementById(i))&&y(e,a)&&a.id===i)return n.push(a),n}else{if(u[2])return H.apply(n,e.getElementsByTagName(t)),n;if((i=u[3])&&d.getElementsByClassName&&e.getElementsByClassName)return H.apply(n,e.getElementsByClassName(i)),n}if(d.qsa&&!N[t+" "]&&(!v||!v.test(t))&&(1!==p||"object"!==e.nodeName.toLowerCase())){if(c=t,f=e,1===p&&(U.test(t)||z.test(t))){(f=ee.test(t)&&ye(e.parentNode)||e)===e&&d.scope||((s=e.getAttribute("id"))?s=s.replace(re,ie):e.setAttribute("id",s=S)),o=(l=h(t)).length;while(o--)l[o]=(s?"#"+s:":scope")+" "+xe(l[o]);c=l.join(",")}try{return H.apply(n,f.querySelectorAll(c)),n}catch(e){N(t,!0)}finally{s===S&&e.removeAttribute("id")}}}return g(t.replace($,"$1"),e,n,r)}function ue(){var r=[];return function e(t,n){return r.push(t+" ")>b.cacheLength&&delete e[r.shift()],e[t+" "]=n}}function le(e){return e[S]=!0,e}function ce(e){var t=C.createElement("fieldset");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){var n=e.split("|"),r=n.length;while(r--)b.attrHandle[n[r]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)while(n=n.nextSibling)if(n===t)return-1;return e?1:-1}function de(t){return function(e){return"input"===e.nodeName.toLowerCase()&&e.type===t}}function he(n){return function(e){var t=e.nodeName.toLowerCase();return("input"===t||"button"===t)&&e.type===n}}function ge(t){return function(e){return"form"in e?e.parentNode&&!1===e.disabled?"label"in e?"label"in e.parentNode?e.parentNode.disabled===t:e.disabled===t:e.isDisabled===t||e.isDisabled!==!t&&ae(e)===t:e.disabled===t:"label"in e&&e.disabled===t}}function ve(a){return le(function(o){return o=+o,le(function(e,t){var n,r=a([],e.length,o),i=r.length;while(i--)e[n=r[i]]&&(e[n]=!(t[n]=e[n]))})})}function ye(e){return e&&"undefined"!=typeof e.getElementsByTagName&&e}for(e in d=se.support={},i=se.isXML=function(e){var t=e.namespaceURI,n=(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||"HTML")},T=se.setDocument=function(e){var t,n,r=e?e.ownerDocument||e:p;return r!=C&&9===r.nodeType&&r.documentElement&&(a=(C=r).documentElement,E=!i(C),p!=C&&(n=C.defaultView)&&n.top!==n&&(n.addEventListener?n.addEventListener("unload",oe,!1):n.attachEvent&&n.attachEvent("onunload",oe)),d.scope=ce(function(e){return a.appendChild(e).appendChild(C.createElement("div")),"undefined"!=typeof e.querySelectorAll&&!e.querySelectorAll(":scope fieldset div").length}),d.attributes=ce(function(e){return e.className="i",!e.getAttribute("className")}),d.getElementsByTagName=ce(function(e){return e.appendChild(C.createComment("")),!e.getElementsByTagName("*").length}),d.getElementsByClassName=K.test(C.getElementsByClassName),d.getById=ce(function(e){return a.appendChild(e).id=S,!C.getElementsByName||!C.getElementsByName(S).length}),d.getById?(b.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute("id")===t}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n=t.getElementById(e);return n?[n]:[]}}):(b.filter.ID=function(e){var n=e.replace(te,ne);return function(e){var t="undefined"!=typeof e.getAttributeNode&&e.getAttributeNode("id");return t&&t.value===n}},b.find.ID=function(e,t){if("undefined"!=typeof t.getElementById&&E){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode("id"))&&n.value===e)return[o];i=t.getElementsByName(e),r=0;while(o=i[r++])if((n=o.getAttributeNode("id"))&&n.value===e)return[o]}return[]}}),b.find.TAG=d.getElementsByTagName?function(e,t){return"undefined"!=typeof t.getElementsByTagName?t.getElementsByTagName(e):d.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if("*"===e){while(n=o[i++])1===n.nodeType&&r.push(n);return r}return o},b.find.CLASS=d.getElementsByClassName&&function(e,t){if("undefined"!=typeof t.getElementsByClassName&&E)return t.getElementsByClassName(e)},s=[],v=[],(d.qsa=K.test(C.querySelectorAll))&&(ce(function(e){var t;a.appendChild(e).innerHTML="<a id='"+S+"'></a><select id='"+S+"-\r\\' msallowcapture=''><option selected=''></option></select>",e.querySelectorAll("[msallowcapture^='']").length&&v.push("[*^$]="+M+"*(?:''|\"\")"),e.querySelectorAll("[selected]").length||v.push("\\["+M+"*(?:value|"+R+")"),e.querySelectorAll("[id~="+S+"-]").length||v.push("~="),(t=C.createElement("input")).setAttribute("name",""),e.appendChild(t),e.querySelectorAll("[name='']").length||v.push("\\["+M+"*name"+M+"*="+M+"*(?:''|\"\")"),e.querySelectorAll(":checked").length||v.push(":checked"),e.querySelectorAll("a#"+S+"+*").length||v.push(".#.+[+~]"),e.querySelectorAll("\\\f"),v.push("[\\r\\n\\f]")}),ce(function(e){e.innerHTML="<a href='' disabled='disabled'></a><select disabled='disabled'><option/></select>";var t=C.createElement("input");t.setAttribute("type","hidden"),e.appendChild(t).setAttribute("name","D"),e.querySelectorAll("[name=d]").length&&v.push("name"+M+"*[*^$|!~]?="),2!==e.querySelectorAll(":enabled").length&&v.push(":enabled",":disabled"),a.appendChild(e).disabled=!0,2!==e.querySelectorAll(":disabled").length&&v.push(":enabled",":disabled"),e.querySelectorAll("*,:x"),v.push(",.*:")})),(d.matchesSelector=K.test(c=a.matches||a.webkitMatchesSelector||a.mozMatchesSelector||a.oMatchesSelector||a.msMatchesSelector))&&ce(function(e){d.disconnectedMatch=c.call(e,"*"),c.call(e,"[s!='']:x"),s.push("!=",F)}),v=v.length&&new RegExp(v.join("|")),s=s.length&&new RegExp(s.join("|")),t=K.test(a.compareDocumentPosition),y=t||K.test(a.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)while(t=t.parentNode)if(t===e)return!0;return!1},D=t?function(e,t){if(e===t)return l=!0,0;var n=!e.compareDocumentPosition-!t.compareDocumentPosition;return n||(1&(n=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!d.sortDetached&&t.compareDocumentPosition(e)===n?e==C||e.ownerDocument==p&&y(p,e)?-1:t==C||t.ownerDocument==p&&y(p,t)?1:u?P(u,e)-P(u,t):0:4&n?-1:1)}:function(e,t){if(e===t)return l=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==C?-1:t==C?1:i?-1:o?1:u?P(u,e)-P(u,t):0;if(i===o)return pe(e,t);n=e;while(n=n.parentNode)a.unshift(n);n=t;while(n=n.parentNode)s.unshift(n);while(a[r]===s[r])r++;return r?pe(a[r],s[r]):a[r]==p?-1:s[r]==p?1:0}),C},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(T(e),d.matchesSelector&&E&&!N[t+" "]&&(!s||!s.test(t))&&(!v||!v.test(t)))try{var n=c.call(e,t);if(n||d.disconnectedMatch||e.document&&11!==e.document.nodeType)return n}catch(e){N(t,!0)}return 0<se(t,C,null,[e]).length},se.contains=function(e,t){return(e.ownerDocument||e)!=C&&T(e),y(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=C&&T(e);var n=b.attrHandle[t.toLowerCase()],r=n&&j.call(b.attrHandle,t.toLowerCase())?n(e,t,!E):void 0;return void 0!==r?r:d.attributes||!E?e.getAttribute(t):(r=e.getAttributeNode(t))&&r.specified?r.value:null},se.escape=function(e){return(e+"").replace(re,ie)},se.error=function(e){throw new Error("Syntax error, unrecognized expression: "+e)},se.uniqueSort=function(e){var t,n=[],r=0,i=0;if(l=!d.detectDuplicates,u=!d.sortStable&&e.slice(0),e.sort(D),l){while(t=e[i++])t===e[i]&&(r=n.push(i));while(r--)e.splice(n[r],1)}return u=null,e},o=se.getText=function(e){var t,n="",r=0,i=e.nodeType;if(i){if(1===i||9===i||11===i){if("string"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=o(e)}else if(3===i||4===i)return e.nodeValue}else while(t=e[r++])n+=o(t);return n},(b=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{">":{dir:"parentNode",first:!0}," ":{dir:"parentNode"},"+":{dir:"previousSibling",first:!0},"~":{dir:"previousSibling"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||"").replace(te,ne),"~="===e[2]&&(e[3]=" "+e[3]+" "),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),"nth"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*("even"===e[3]||"odd"===e[3])),e[5]=+(e[7]+e[8]||"odd"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||"":n&&X.test(n)&&(t=h(n,!0))&&(t=n.indexOf(")",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return"*"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=m[e+" "];return t||(t=new RegExp("(^|"+M+")"+e+"("+M+"|$)"))&&m(e,function(e){return t.test("string"==typeof e.className&&e.className||"undefined"!=typeof e.getAttribute&&e.getAttribute("class")||"")})},ATTR:function(n,r,i){return function(e){var t=se.attr(e,n);return null==t?"!="===r:!r||(t+="","="===r?t===i:"!="===r?t!==i:"^="===r?i&&0===t.indexOf(i):"*="===r?i&&-1<t.indexOf(i):"$="===r?i&&t.slice(-i.length)===i:"~="===r?-1<(" "+t.replace(B," ")+" ").indexOf(i):"|="===r&&(t===i||t.slice(0,i.length+1)===i+"-"))}},CHILD:function(h,e,t,g,v){var y="nth"!==h.slice(0,3),m="last"!==h.slice(-4),x="of-type"===e;return 1===g&&0===v?function(e){return!!e.parentNode}:function(e,t,n){var r,i,o,a,s,u,l=y!==m?"nextSibling":"previousSibling",c=e.parentNode,f=x&&e.nodeName.toLowerCase(),p=!n&&!x,d=!1;if(c){if(y){while(l){a=e;while(a=a[l])if(x?a.nodeName.toLowerCase()===f:1===a.nodeType)return!1;u=l="only"===h&&!u&&"nextSibling"}return!0}if(u=[m?c.firstChild:c.lastChild],m&&p){d=(s=(r=(i=(o=(a=c)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1])&&r[2],a=s&&c.childNodes[s];while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if(1===a.nodeType&&++d&&a===e){i[h]=[k,s,d];break}}else if(p&&(d=s=(r=(i=(o=(a=e)[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]||[])[0]===k&&r[1]),!1===d)while(a=++s&&a&&a[l]||(d=s=0)||u.pop())if((x?a.nodeName.toLowerCase()===f:1===a.nodeType)&&++d&&(p&&((i=(o=a[S]||(a[S]={}))[a.uniqueID]||(o[a.uniqueID]={}))[h]=[k,d]),a===e))break;return(d-=v)===g||d%g==0&&0<=d/g}}},PSEUDO:function(e,o){var t,a=b.pseudos[e]||b.setFilters[e.toLowerCase()]||se.error("unsupported pseudo: "+e);return a[S]?a(o):1<a.length?(t=[e,e,"",o],b.setFilters.hasOwnProperty(e.toLowerCase())?le(function(e,t){var n,r=a(e,o),i=r.length;while(i--)e[n=P(e,r[i])]=!(t[n]=r[i])}):function(e){return a(e,0,t)}):a}},pseudos:{not:le(function(e){var r=[],i=[],s=f(e.replace($,"$1"));return s[S]?le(function(e,t,n,r){var i,o=s(e,null,r,[]),a=e.length;while(a--)(i=o[a])&&(e[a]=!(t[a]=i))}):function(e,t,n){return r[0]=e,s(r,null,n,i),r[0]=null,!i.pop()}}),has:le(function(t){return function(e){return 0<se(t,e).length}}),contains:le(function(t){return t=t.replace(te,ne),function(e){return-1<(e.textContent||o(e)).indexOf(t)}}),lang:le(function(n){return V.test(n||"")||se.error("unsupported lang: "+n),n=n.replace(te,ne).toLowerCase(),function(e){var t;do{if(t=E?e.lang:e.getAttribute("xml:lang")||e.getAttribute("lang"))return(t=t.toLowerCase())===n||0===t.indexOf(n+"-")}while((e=e.parentNode)&&1===e.nodeType);return!1}}),target:function(e){var t=n.location&&n.location.hash;return t&&t.slice(1)===e.id},root:function(e){return e===a},focus:function(e){return e===C.activeElement&&(!C.hasFocus||C.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&!!e.checked||"option"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!b.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return"input"===t&&"button"===e.type||"button"===t},text:function(e){var t;return"input"===e.nodeName.toLowerCase()&&"text"===e.type&&(null==(t=e.getAttribute("type"))||"text"===t.toLowerCase())},first:ve(function(){return[0]}),last:ve(function(e,t){return[t-1]}),eq:ve(function(e,t,n){return[n<0?n+t:n]}),even:ve(function(e,t){for(var n=0;n<t;n+=2)e.push(n);return e}),odd:ve(function(e,t){for(var n=1;n<t;n+=2)e.push(n);return e}),lt:ve(function(e,t,n){for(var r=n<0?n+t:t<n?t:n;0<=--r;)e.push(r);return e}),gt:ve(function(e,t,n){for(var r=n<0?n+t:n;++r<t;)e.push(r);return e})}}).pseudos.nth=b.pseudos.eq,{radio:!0,checkbox:!0,file:!0,password:!0,image:!0})b.pseudos[e]=de(e);for(e in{submit:!0,reset:!0})b.pseudos[e]=he(e);function me(){}function xe(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return r}function be(s,e,t){var u=e.dir,l=e.next,c=l||u,f=t&&"parentNode"===c,p=r++;return e.first?function(e,t,n){while(e=e[u])if(1===e.nodeType||f)return s(e,t,n);return!1}:function(e,t,n){var r,i,o,a=[k,p];if(n){while(e=e[u])if((1===e.nodeType||f)&&s(e,t,n))return!0}else while(e=e[u])if(1===e.nodeType||f)if(i=(o=e[S]||(e[S]={}))[e.uniqueID]||(o[e.uniqueID]={}),l&&l===e.nodeName.toLowerCase())e=e[u]||e;else{if((r=i[c])&&r[0]===k&&r[1]===p)return a[2]=r[2];if((i[c]=a)[2]=s(e,t,n))return!0}return!1}}function we(i){return 1<i.length?function(e,t,n){var r=i.length;while(r--)if(!i[r](e,t,n))return!1;return!0}:i[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s<u;s++)(o=e[s])&&(n&&!n(o,r,i)||(a.push(o),l&&t.push(s)));return a}function Ce(d,h,g,v,y,e){return v&&!v[S]&&(v=Ce(v)),y&&!y[S]&&(y=Ce(y,e)),le(function(e,t,n,r){var i,o,a,s=[],u=[],l=t.length,c=e||function(e,t,n){for(var r=0,i=t.length;r<i;r++)se(e,t[r],n);return n}(h||"*",n.nodeType?[n]:n,[]),f=!d||!e&&h?c:Te(c,s,d,n,r),p=g?y||(e?d:l||v)?[]:t:f;if(g&&g(f,p,n,r),v){i=Te(p,u),v(i,[],n,r),o=i.length;while(o--)(a=i[o])&&(p[u[o]]=!(f[u[o]]=a))}if(e){if(y||d){if(y){i=[],o=p.length;while(o--)(a=p[o])&&i.push(f[o]=a);y(null,p=[],i,r)}o=p.length;while(o--)(a=p[o])&&-1<(i=y?P(e,a):s[o])&&(e[i]=!(t[i]=a))}}else p=Te(p===t?p.splice(l,p.length):p),y?y(null,t,p,r):H.apply(t,p)})}function Ee(e){for(var i,t,n,r=e.length,o=b.relative[e[0].type],a=o||b.relative[" "],s=o?1:0,u=be(function(e){return e===i},a,!0),l=be(function(e){return-1<P(i,e)},a,!0),c=[function(e,t,n){var r=!o&&(n||t!==w)||((i=t).nodeType?u(e,t,n):l(e,t,n));return i=null,r}];s<r;s++)if(t=b.relative[e[s].type])c=[be(we(c),t)];else{if((t=b.filter[e[s].type].apply(null,e[s].matches))[S]){for(n=++s;n<r;n++)if(b.relative[e[n].type])break;return Ce(1<s&&we(c),1<s&&xe(e.slice(0,s-1).concat({value:" "===e[s-2].type?"*":""})).replace($,"$1"),t,s<n&&Ee(e.slice(s,n)),n<r&&Ee(e=e.slice(n)),n<r&&xe(e))}c.push(t)}return we(c)}return me.prototype=b.filters=b.pseudos,b.setFilters=new me,h=se.tokenize=function(e,t){var n,r,i,o,a,s,u,l=x[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=_.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=z.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace($," ")}),a=a.slice(n.length)),b.filter)!(r=G[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?se.error(e):x(e,s).slice(0)},f=se.compile=function(e,t){var n,v,y,m,x,r,i=[],o=[],a=A[e+" "];if(!a){t||(t=h(e)),n=t.length;while(n--)(a=Ee(t[n]))[S]?i.push(a):o.push(a);(a=A(e,(v=o,m=0<(y=i).length,x=0<v.length,r=function(e,t,n,r,i){var o,a,s,u=0,l="0",c=e&&[],f=[],p=w,d=e||x&&b.find.TAG("*",i),h=k+=null==p?1:Math.random()||.1,g=d.length;for(i&&(w=t==C||t||i);l!==g&&null!=(o=d[l]);l++){if(x&&o){a=0,t||o.ownerDocument==C||(T(o),n=!E);while(s=v[a++])if(s(o,t||C,n)){r.push(o);break}i&&(k=h)}m&&((o=!s&&o)&&u--,e&&c.push(o))}if(u+=l,m&&l!==u){a=0;while(s=y[a++])s(c,f,t,n);if(e){if(0<u)while(l--)c[l]||f[l]||(f[l]=q.call(r));f=Te(f)}H.apply(r,f),i&&!e&&0<f.length&&1<u+y.length&&se.uniqueSort(r)}return i&&(k=h,w=p),c},m?le(r):r))).selector=e}return a},g=se.select=function(e,t,n,r){var i,o,a,s,u,l="function"==typeof e&&e,c=!r&&h(e=l.selector||e);if(n=n||[],1===c.length){if(2<(o=c[0]=c[0].slice(0)).length&&"ID"===(a=o[0]).type&&9===t.nodeType&&E&&b.relative[o[1].type]){if(!(t=(b.find.ID(a.matches[0].replace(te,ne),t)||[])[0]))return n;l&&(t=t.parentNode),e=e.slice(o.shift().value.length)}i=G.needsContext.test(e)?0:o.length;while(i--){if(a=o[i],b.relative[s=a.type])break;if((u=b.find[s])&&(r=u(a.matches[0].replace(te,ne),ee.test(o[0].type)&&ye(t.parentNode)||t))){if(o.splice(i,1),!(e=r.length&&xe(o)))return H.apply(n,r),n;break}}}return(l||f(e,c))(r,t,!E,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},d.sortStable=S.split("").sort(D).join("")===S,d.detectDuplicates=!!l,T(),d.sortDetached=ce(function(e){return 1&e.compareDocumentPosition(C.createElement("fieldset"))}),ce(function(e){return e.innerHTML="<a href='#'></a>","#"===e.firstChild.getAttribute("href")})||fe("type|href|height|width",function(e,t,n){if(!n)return e.getAttribute(t,"type"===t.toLowerCase()?1:2)}),d.attributes&&ce(function(e){return e.innerHTML="<input/>",e.firstChild.setAttribute("value",""),""===e.firstChild.getAttribute("value")})||fe("value",function(e,t,n){if(!n&&"input"===e.nodeName.toLowerCase())return e.defaultValue}),ce(function(e){return null==e.getAttribute("disabled")})||fe(R,function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null}),se}(C);S.find=d,S.expr=d.selectors,S.expr[":"]=S.expr.pseudos,S.uniqueSort=S.unique=d.uniqueSort,S.text=d.getText,S.isXMLDoc=d.isXML,S.contains=d.contains,S.escapeSelector=d.escape;var h=function(e,t,n){var r=[],i=void 0!==n;while((e=e[t])&&9!==e.nodeType)if(1===e.nodeType){if(i&&S(e).is(n))break;r.push(e)}return r},T=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},k=S.expr.match.needsContext;function A(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var N=/^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i;function D(e,n,r){return m(n)?S.grep(e,function(e,t){return!!n.call(e,t,e)!==r}):n.nodeType?S.grep(e,function(e){return e===n!==r}):"string"!=typeof n?S.grep(e,function(e){return-1<i.call(n,e)!==r}):S.filter(n,e,r)}S.filter=function(e,t,n){var r=t[0];return n&&(e=":not("+e+")"),1===t.length&&1===r.nodeType?S.find.matchesSelector(r,e)?[r]:[]:S.find.matches(e,S.grep(t,function(e){return 1===e.nodeType}))},S.fn.extend({find:function(e){var t,n,r=this.length,i=this;if("string"!=typeof e)return this.pushStack(S(e).filter(function(){for(t=0;t<r;t++)if(S.contains(i[t],this))return!0}));for(n=this.pushStack([]),t=0;t<r;t++)S.find(e,i[t],n);return 1<r?S.uniqueSort(n):n},filter:function(e){return this.pushStack(D(this,e||[],!1))},not:function(e){return this.pushStack(D(this,e||[],!0))},is:function(e){return!!D(this,"string"==typeof e&&k.test(e)?S(e):e||[],!1).length}});var j,q=/^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/;(S.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||j,"string"==typeof e){if(!(r="<"===e[0]&&">"===e[e.length-1]&&3<=e.length?[null,e,null]:q.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof S?t[0]:t,S.merge(this,S.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:E,!0)),N.test(r[1])&&S.isPlainObject(t))for(r in t)m(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=E.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):m(e)?void 0!==n.ready?n.ready(e):e(S):S.makeArray(e,this)}).prototype=S.fn,j=S(E);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){while((e=e[t])&&1!==e.nodeType);return e}S.fn.extend({has:function(e){var t=S(e,this),n=t.length;return this.filter(function(){for(var e=0;e<n;e++)if(S.contains(this,t[e]))return!0})},closest:function(e,t){var n,r=0,i=this.length,o=[],a="string"!=typeof e&&S(e);if(!k.test(e))for(;r<i;r++)for(n=this[r];n&&n!==t;n=n.parentNode)if(n.nodeType<11&&(a?-1<a.index(n):1===n.nodeType&&S.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(1<o.length?S.uniqueSort(o):o)},index:function(e){return e?"string"==typeof e?i.call(S(e),this[0]):i.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(S.uniqueSort(S.merge(this.get(),S(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),S.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return h(e,"parentNode")},parentsUntil:function(e,t,n){return h(e,"parentNode",n)},next:function(e){return O(e,"nextSibling")},prev:function(e){return O(e,"previousSibling")},nextAll:function(e){return h(e,"nextSibling")},prevAll:function(e){return h(e,"previousSibling")},nextUntil:function(e,t,n){return h(e,"nextSibling",n)},prevUntil:function(e,t,n){return h(e,"previousSibling",n)},siblings:function(e){return T((e.parentNode||{}).firstChild,e)},children:function(e){return T(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(A(e,"template")&&(e=e.content||e),S.merge([],e.childNodes))}},function(r,i){S.fn[r]=function(e,t){var n=S.map(this,i,e);return"Until"!==r.slice(-5)&&(t=e),t&&"string"==typeof t&&(n=S.filter(t,n)),1<this.length&&(H[r]||S.uniqueSort(n),L.test(r)&&n.reverse()),this.pushStack(n)}});var P=/[^\x20\t\r\n\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&m(i=e.promise)?i.call(e).done(t).fail(n):e&&m(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}S.Callbacks=function(r){var e,n;r="string"==typeof r?(e=r,n={},S.each(e.match(P)||[],function(e,t){n[t]=!0}),n):S.extend({},r);var i,t,o,a,s=[],u=[],l=-1,c=function(){for(a=a||r.once,o=i=!0;u.length;l=-1){t=u.shift();while(++l<s.length)!1===s[l].apply(t[0],t[1])&&r.stopOnFalse&&(l=s.length,t=!1)}r.memory||(t=!1),i=!1,a&&(s=t?[]:"")},f={add:function(){return s&&(t&&!i&&(l=s.length-1,u.push(t)),function n(e){S.each(e,function(e,t){m(t)?r.unique&&f.has(t)||s.push(t):t&&t.length&&"string"!==w(t)&&n(t)})}(arguments),t&&!i&&c()),this},remove:function(){return S.each(arguments,function(e,t){var n;while(-1<(n=S.inArray(t,s,n)))s.splice(n,1),n<=l&&l--}),this},has:function(e){return e?-1<S.inArray(e,s):0<s.length},empty:function(){return s&&(s=[]),this},disable:function(){return a=u=[],s=t="",this},disabled:function(){return!s},lock:function(){return a=u=[],t||i||(s=t=""),this},locked:function(){return!!a},fireWith:function(e,t){return a||(t=[e,(t=t||[]).slice?t.slice():t],u.push(t),i||c()),this},fire:function(){return f.fireWith(this,arguments),this},fired:function(){return!!o}};return f},S.extend({Deferred:function(e){var o=[["notify","progress",S.Callbacks("memory"),S.Callbacks("memory"),2],["resolve","done",S.Callbacks("once memory"),S.Callbacks("once memory"),0,"resolved"],["reject","fail",S.Callbacks("once memory"),S.Callbacks("once memory"),1,"rejected"]],i="pending",a={state:function(){return i},always:function(){return s.done(arguments).fail(arguments),this},"catch":function(e){return a.then(null,e)},pipe:function(){var i=arguments;return S.Deferred(function(r){S.each(o,function(e,t){var n=m(i[t[4]])&&i[t[4]];s[t[1]](function(){var e=n&&n.apply(this,arguments);e&&m(e.promise)?e.promise().progress(r.notify).done(r.resolve).fail(r.reject):r[t[0]+"With"](this,n?[e]:arguments)})}),i=null}).promise()},then:function(t,n,r){var u=0;function l(i,o,a,s){return function(){var n=this,r=arguments,e=function(){var e,t;if(!(i<u)){if((e=a.apply(n,r))===o.promise())throw new TypeError("Thenable self-resolution");t=e&&("object"==typeof e||"function"==typeof e)&&e.then,m(t)?s?t.call(e,l(u,o,R,s),l(u,o,M,s)):(u++,t.call(e,l(u,o,R,s),l(u,o,M,s),l(u,o,R,o.notifyWith))):(a!==R&&(n=void 0,r=[e]),(s||o.resolveWith)(n,r))}},t=s?e:function(){try{e()}catch(e){S.Deferred.exceptionHook&&S.Deferred.exceptionHook(e,t.stackTrace),u<=i+1&&(a!==M&&(n=void 0,r=[e]),o.rejectWith(n,r))}};i?t():(S.Deferred.getStackHook&&(t.stackTrace=S.Deferred.getStackHook()),C.setTimeout(t))}}return S.Deferred(function(e){o[0][3].add(l(0,e,m(r)?r:R,e.notifyWith)),o[1][3].add(l(0,e,m(t)?t:R)),o[2][3].add(l(0,e,m(n)?n:M))}).promise()},promise:function(e){return null!=e?S.extend(e,a):a}},s={};return S.each(o,function(e,t){var n=t[2],r=t[5];a[t[1]]=n.add,r&&n.add(function(){i=r},o[3-e][2].disable,o[3-e][3].disable,o[0][2].lock,o[0][3].lock),n.add(t[3].fire),s[t[0]]=function(){return s[t[0]+"With"](this===s?void 0:this,arguments),this},s[t[0]+"With"]=n.fireWith}),a.promise(s),e&&e.call(s,s),s},when:function(e){var n=arguments.length,t=n,r=Array(t),i=s.call(arguments),o=S.Deferred(),a=function(t){return function(e){r[t]=this,i[t]=1<arguments.length?s.call(arguments):e,--n||o.resolveWith(r,i)}};if(n<=1&&(I(e,o.done(a(t)).resolve,o.reject,!n),"pending"===o.state()||m(i[t]&&i[t].then)))return o.then();while(t--)I(i[t],a(t),o.reject);return o.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;S.Deferred.exceptionHook=function(e,t){C.console&&C.console.warn&&e&&W.test(e.name)&&C.console.warn("jQuery.Deferred exception: "+e.message,e.stack,t)},S.readyException=function(e){C.setTimeout(function(){throw e})};var F=S.Deferred();function B(){E.removeEventListener("DOMContentLoaded",B),C.removeEventListener("load",B),S.ready()}S.fn.ready=function(e){return F.then(e)["catch"](function(e){S.readyException(e)}),this},S.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--S.readyWait:S.isReady)||(S.isReady=!0)!==e&&0<--S.readyWait||F.resolveWith(E,[S])}}),S.ready.then=F.then,"complete"===E.readyState||"loading"!==E.readyState&&!E.documentElement.doScroll?C.setTimeout(S.ready):(E.addEventListener("DOMContentLoaded",B),C.addEventListener("load",B));var $=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if("object"===w(n))for(s in i=!0,n)$(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,m(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(S(e),n)})),t))for(;s<u;s++)t(e[s],n,a?r:r.call(e[s],s,t(e[s],n)));return i?e:l?t.call(e):u?t(e[0],n):o},_=/^-ms-/,z=/-([a-z])/g;function U(e,t){return t.toUpperCase()}function X(e){return e.replace(_,"ms-").replace(z,U)}var V=function(e){return 1===e.nodeType||9===e.nodeType||!+e.nodeType};function G(){this.expando=S.expando+G.uid++}G.uid=1,G.prototype={cache:function(e){var t=e[this.expando];return t||(t={},V(e)&&(e.nodeType?e[this.expando]=t:Object.defineProperty(e,this.expando,{value:t,configurable:!0}))),t},set:function(e,t,n){var r,i=this.cache(e);if("string"==typeof t)i[X(t)]=n;else for(r in t)i[X(r)]=t[r];return i},get:function(e,t){return void 0===t?this.cache(e):e[this.expando]&&e[this.expando][X(t)]},access:function(e,t,n){return void 0===t||t&&"string"==typeof t&&void 0===n?this.get(e,t):(this.set(e,t,n),void 0!==n?n:t)},remove:function(e,t){var n,r=e[this.expando];if(void 0!==r){if(void 0!==t){n=(t=Array.isArray(t)?t.map(X):(t=X(t))in r?[t]:t.match(P)||[]).length;while(n--)delete r[t[n]]}(void 0===t||S.isEmptyObject(r))&&(e.nodeType?e[this.expando]=void 0:delete e[this.expando])}},hasData:function(e){var t=e[this.expando];return void 0!==t&&!S.isEmptyObject(t)}};var Y=new G,Q=new G,J=/^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,K=/[A-Z]/g;function Z(e,t,n){var r,i;if(void 0===n&&1===e.nodeType)if(r="data-"+t.replace(K,"-$&").toLowerCase(),"string"==typeof(n=e.getAttribute(r))){try{n="true"===(i=n)||"false"!==i&&("null"===i?null:i===+i+""?+i:J.test(i)?JSON.parse(i):i)}catch(e){}Q.set(e,t,n)}else n=void 0;return n}S.extend({hasData:function(e){return Q.hasData(e)||Y.hasData(e)},data:function(e,t,n){return Q.access(e,t,n)},removeData:function(e,t){Q.remove(e,t)},_data:function(e,t,n){return Y.access(e,t,n)},_removeData:function(e,t){Y.remove(e,t)}}),S.fn.extend({data:function(n,e){var t,r,i,o=this[0],a=o&&o.attributes;if(void 0===n){if(this.length&&(i=Q.get(o),1===o.nodeType&&!Y.get(o,"hasDataAttrs"))){t=a.length;while(t--)a[t]&&0===(r=a[t].name).indexOf("data-")&&(r=X(r.slice(5)),Z(o,r,i[r]));Y.set(o,"hasDataAttrs",!0)}return i}return"object"==typeof n?this.each(function(){Q.set(this,n)}):$(this,function(e){var t;if(o&&void 0===e)return void 0!==(t=Q.get(o,n))?t:void 0!==(t=Z(o,n))?t:void 0;this.each(function(){Q.set(this,n,e)})},null,e,1<arguments.length,null,!0)},removeData:function(e){return this.each(function(){Q.remove(this,e)})}}),S.extend({queue:function(e,t,n){var r;if(e)return t=(t||"fx")+"queue",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,S.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||"fx";var n=S.queue(e,t),r=n.length,i=n.shift(),o=S._queueHooks(e,t);"inprogress"===i&&(i=n.shift(),r--),i&&("fx"===t&&n.unshift("inprogress"),delete o.stop,i.call(e,function(){S.dequeue(e,t)},o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return Y.get(e,n)||Y.access(e,n,{empty:S.Callbacks("once memory").add(function(){Y.remove(e,[t+"queue",n])})})}}),S.fn.extend({queue:function(t,n){var e=2;return"string"!=typeof t&&(n=t,t="fx",e--),arguments.length<e?S.queue(this[0],t):void 0===n?this:this.each(function(){var e=S.queue(this,t,n);S._queueHooks(this,t),"fx"===t&&"inprogress"!==e[0]&&S.dequeue(this,t)})},dequeue:function(e){return this.each(function(){S.dequeue(this,e)})},clearQueue:function(e){return this.queue(e||"fx",[])},promise:function(e,t){var n,r=1,i=S.Deferred(),o=this,a=this.length,s=function(){--r||i.resolveWith(o,[o])};"string"!=typeof e&&(t=e,e=void 0),e=e||"fx";while(a--)(n=Y.get(o[a],e+"queueHooks"))&&n.empty&&(r++,n.empty.add(s));return s(),i.promise(t)}});var ee=/[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/.source,te=new RegExp("^(?:([+-])=|)("+ee+")([a-z%]*)$","i"),ne=["Top","Right","Bottom","Left"],re=E.documentElement,ie=function(e){return S.contains(e.ownerDocument,e)},oe={composed:!0};re.getRootNode&&(ie=function(e){return S.contains(e.ownerDocument,e)||e.getRootNode(oe)===e.ownerDocument});var ae=function(e,t){return"none"===(e=t||e).style.display||""===e.style.display&&ie(e)&&"none"===S.css(e,"display")};function se(e,t,n,r){var i,o,a=20,s=r?function(){return r.cur()}:function(){return S.css(e,t,"")},u=s(),l=n&&n[3]||(S.cssNumber[t]?"":"px"),c=e.nodeType&&(S.cssNumber[t]||"px"!==l&&+u)&&te.exec(S.css(e,t));if(c&&c[3]!==l){u/=2,l=l||c[3],c=+u||1;while(a--)S.style(e,t,c+l),(1-o)*(1-(o=s()/u||.5))<=0&&(a=0),c/=o;c*=2,S.style(e,t,c+l),n=n||[]}return n&&(c=+c||+u||0,i=n[1]?c+(n[1]+1)*n[2]:+n[2],r&&(r.unit=l,r.start=c,r.end=i)),i}var ue={};function le(e,t){for(var n,r,i,o,a,s,u,l=[],c=0,f=e.length;c<f;c++)(r=e[c]).style&&(n=r.style.display,t?("none"===n&&(l[c]=Y.get(r,"display")||null,l[c]||(r.style.display="")),""===r.style.display&&ae(r)&&(l[c]=(u=a=o=void 0,a=(i=r).ownerDocument,s=i.nodeName,(u=ue[s])||(o=a.body.appendChild(a.createElement(s)),u=S.css(o,"display"),o.parentNode.removeChild(o),"none"===u&&(u="block"),ue[s]=u)))):"none"!==n&&(l[c]="none",Y.set(r,"display",n)));for(c=0;c<f;c++)null!=l[c]&&(e[c].style.display=l[c]);return e}S.fn.extend({show:function(){return le(this,!0)},hide:function(){return le(this)},toggle:function(e){return"boolean"==typeof e?e?this.show():this.hide():this.each(function(){ae(this)?S(this).show():S(this).hide()})}});var ce,fe,pe=/^(?:checkbox|radio)$/i,de=/<([a-z][^\/\0>\x20\t\r\n\f]*)/i,he=/^$|^module$|\/(?:java|ecma)script/i;ce=E.createDocumentFragment().appendChild(E.createElement("div")),(fe=E.createElement("input")).setAttribute("type","radio"),fe.setAttribute("checked","checked"),fe.setAttribute("name","t"),ce.appendChild(fe),y.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML="<textarea>x</textarea>",y.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML="<option></option>",y.option=!!ce.lastChild;var ge={thead:[1,"<table>","</table>"],col:[2,"<table><colgroup>","</colgroup></table>"],tr:[2,"<table><tbody>","</tbody></table>"],td:[3,"<table><tbody><tr>","</tr></tbody></table>"],_default:[0,"",""]};function ve(e,t){var n;return n="undefined"!=typeof e.getElementsByTagName?e.getElementsByTagName(t||"*"):"undefined"!=typeof e.querySelectorAll?e.querySelectorAll(t||"*"):[],void 0===t||t&&A(e,t)?S.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n<r;n++)Y.set(e[n],"globalEval",!t||Y.get(t[n],"globalEval"))}ge.tbody=ge.tfoot=ge.colgroup=ge.caption=ge.thead,ge.th=ge.td,y.option||(ge.optgroup=ge.option=[1,"<select multiple='multiple'>","</select>"]);var me=/<|&#?\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d<h;d++)if((o=e[d])||0===o)if("object"===w(o))S.merge(p,o.nodeType?[o]:o);else if(me.test(o)){a=a||f.appendChild(t.createElement("div")),s=(de.exec(o)||["",""])[1].toLowerCase(),u=ge[s]||ge._default,a.innerHTML=u[1]+S.htmlPrefilter(o)+u[2],c=u[0];while(c--)a=a.lastChild;S.merge(p,a.childNodes),(a=f.firstChild).textContent=""}else p.push(t.createTextNode(o));f.textContent="",d=0;while(o=p[d++])if(r&&-1<S.inArray(o,r))i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),"script"),l&&ye(a),n){c=0;while(o=a[c++])he.test(o.type||"")&&n.push(o)}return f}var be=/^key/,we=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,Te=/^([^.]*)(?:\.(.+)|)/;function Ce(){return!0}function Ee(){return!1}function Se(e,t){return e===function(){try{return E.activeElement}catch(e){}}()==("focus"===t)}function ke(e,t,n,r,i,o){var a,s;if("object"==typeof t){for(s in"string"!=typeof n&&(r=r||n,n=void 0),t)ke(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&("string"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Ee;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return S().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=S.guid++)),e.each(function(){S.event.add(this,t,i,r,n)})}function Ae(e,i,o){o?(Y.set(e,i,!1),S.event.add(e,i,{namespace:!1,handler:function(e){var t,n,r=Y.get(this,i);if(1&e.isTrigger&&this[i]){if(r.length)(S.event.special[i]||{}).delegateType&&e.stopPropagation();else if(r=s.call(arguments),Y.set(this,i,r),t=o(this,i),this[i](),r!==(n=Y.get(this,i))||t?Y.set(this,i,!1):n={},r!==n)return e.stopImmediatePropagation(),e.preventDefault(),n.value}else r.length&&(Y.set(this,i,{value:S.event.trigger(S.extend(r[0],S.Event.prototype),r.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,i)&&S.event.add(e,i,Ce)}S.event={global:{},add:function(t,e,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(t);if(V(t)){n.handler&&(n=(o=n).handler,i=o.selector),i&&S.find.matchesSelector(re,i),n.guid||(n.guid=S.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(e){return"undefined"!=typeof S&&S.event.triggered!==e.type?S.event.dispatch.apply(t,arguments):void 0}),l=(e=(e||"").match(P)||[""]).length;while(l--)d=g=(s=Te.exec(e[l])||[])[1],h=(s[2]||"").split(".").sort(),d&&(f=S.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=S.event.special[d]||{},c=S.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&S.expr.match.needsContext.test(i),namespace:h.join(".")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(t,r,h,a)||t.addEventListener&&t.addEventListener(d,a)),f.add&&(f.add.call(t,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),S.event.global[d]=!0)}},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){l=(t=(t||"").match(P)||[""]).length;while(l--)if(d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||"").split(".").sort(),d){f=S.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"),a=o=p.length;while(o--)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&("**"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||S.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)S.event.remove(e,d+t[l],n,r,!0);S.isEmptyObject(u)&&Y.remove(e,"handle events")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=S.event.fix(e),l=(Y.get(this,"events")||Object.create(null))[u.type]||[],c=S.event.special[u.type]||{};for(s[0]=u,t=1;t<arguments.length;t++)s[t]=arguments[t];if(u.delegateTarget=this,!c.preDispatch||!1!==c.preDispatch.call(this,u)){a=S.event.handlers.call(this,u,l),t=0;while((i=a[t++])&&!u.isPropagationStopped()){u.currentTarget=i.elem,n=0;while((o=i.handlers[n++])&&!u.isImmediatePropagationStopped())u.rnamespace&&!1!==o.namespace&&!u.rnamespace.test(o.namespace)||(u.handleObj=o,u.data=o.data,void 0!==(r=((S.event.special[o.origType]||{}).handle||o.handler).apply(i.elem,s))&&!1===(u.result=r)&&(u.preventDefault(),u.stopPropagation()))}return c.postDispatch&&c.postDispatch.call(this,u),u.result}},handlers:function(e,t){var n,r,i,o,a,s=[],u=t.delegateCount,l=e.target;if(u&&l.nodeType&&!("click"===e.type&&1<=e.button))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&("click"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n<u;n++)void 0===a[i=(r=t[n]).selector+" "]&&(a[i]=r.needsContext?-1<S(i,this).index(l):S.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u<t.length&&s.push({elem:l,handlers:t.slice(u)}),s},addProp:function(t,e){Object.defineProperty(S.Event.prototype,t,{enumerable:!0,configurable:!0,get:m(e)?function(){if(this.originalEvent)return e(this.originalEvent)}:function(){if(this.originalEvent)return this.originalEvent[t]},set:function(e){Object.defineProperty(this,t,{enumerable:!0,configurable:!0,writable:!0,value:e})}})},fix:function(e){return e[S.expando]?e:new S.Event(e)},special:{load:{noBubble:!0},click:{setup:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Ae(t,"click",Ce),!1},trigger:function(e){var t=this||e;return pe.test(t.type)&&t.click&&A(t,"input")&&Ae(t,"click"),!0},_default:function(e){var t=e.target;return pe.test(t.type)&&t.click&&A(t,"input")&&Y.get(t,"click")||A(t,"a")}},beforeunload:{postDispatch:function(e){void 0!==e.result&&e.originalEvent&&(e.originalEvent.returnValue=e.result)}}}},S.removeEvent=function(e,t,n){e.removeEventListener&&e.removeEventListener(t,n)},S.Event=function(e,t){if(!(this instanceof S.Event))return new S.Event(e,t);e&&e.type?(this.originalEvent=e,this.type=e.type,this.isDefaultPrevented=e.defaultPrevented||void 0===e.defaultPrevented&&!1===e.returnValue?Ce:Ee,this.target=e.target&&3===e.target.nodeType?e.target.parentNode:e.target,this.currentTarget=e.currentTarget,this.relatedTarget=e.relatedTarget):this.type=e,t&&S.extend(this,t),this.timeStamp=e&&e.timeStamp||Date.now(),this[S.expando]=!0},S.Event.prototype={constructor:S.Event,isDefaultPrevented:Ee,isPropagationStopped:Ee,isImmediatePropagationStopped:Ee,isSimulated:!1,preventDefault:function(){var e=this.originalEvent;this.isDefaultPrevented=Ce,e&&!this.isSimulated&&e.preventDefault()},stopPropagation:function(){var e=this.originalEvent;this.isPropagationStopped=Ce,e&&!this.isSimulated&&e.stopPropagation()},stopImmediatePropagation:function(){var e=this.originalEvent;this.isImmediatePropagationStopped=Ce,e&&!this.isSimulated&&e.stopImmediatePropagation(),this.stopPropagation()}},S.each({altKey:!0,bubbles:!0,cancelable:!0,changedTouches:!0,ctrlKey:!0,detail:!0,eventPhase:!0,metaKey:!0,pageX:!0,pageY:!0,shiftKey:!0,view:!0,"char":!0,code:!0,charCode:!0,key:!0,keyCode:!0,button:!0,buttons:!0,clientX:!0,clientY:!0,offsetX:!0,offsetY:!0,pointerId:!0,pointerType:!0,screenX:!0,screenY:!0,targetTouches:!0,toElement:!0,touches:!0,which:function(e){var t=e.button;return null==e.which&&be.test(e.type)?null!=e.charCode?e.charCode:e.keyCode:!e.which&&void 0!==t&&we.test(e.type)?1&t?1:2&t?3:4&t?2:0:e.which}},S.event.addProp),S.each({focus:"focusin",blur:"focusout"},function(e,t){S.event.special[e]={setup:function(){return Ae(this,e,Se),!1},trigger:function(){return Ae(this,e),!0},delegateType:t}}),S.each({mouseenter:"mouseover",mouseleave:"mouseout",pointerenter:"pointerover",pointerleave:"pointerout"},function(e,i){S.event.special[e]={delegateType:i,bindType:i,handle:function(e){var t,n=e.relatedTarget,r=e.handleObj;return n&&(n===this||S.contains(this,n))||(e.type=r.origType,t=r.handler.apply(this,arguments),e.type=i),t}}}),S.fn.extend({on:function(e,t,n,r){return ke(this,e,t,n,r)},one:function(e,t,n,r){return ke(this,e,t,n,r,1)},off:function(e,t,n){var r,i;if(e&&e.preventDefault&&e.handleObj)return r=e.handleObj,S(e.delegateTarget).off(r.namespace?r.origType+"."+r.namespace:r.origType,r.selector,r.handler),this;if("object"==typeof e){for(i in e)this.off(i,t,e[i]);return this}return!1!==t&&"function"!=typeof t||(n=t,t=void 0),!1===n&&(n=Ee),this.each(function(){S.event.remove(this,e,n,t)})}});var Ne=/<script|<style|<link/i,De=/checked\s*(?:[^=]|=\s*.checked.)/i,je=/^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;function qe(e,t){return A(e,"table")&&A(11!==t.nodeType?t:t.firstChild,"tr")&&S(e).children("tbody")[0]||e}function Le(e){return e.type=(null!==e.getAttribute("type"))+"/"+e.type,e}function He(e){return"true/"===(e.type||"").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute("type"),e}function Oe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(Y.hasData(e)&&(s=Y.get(e).events))for(i in Y.remove(t,"handle events"),s)for(n=0,r=s[i].length;n<r;n++)S.event.add(t,i,s[i][n]);Q.hasData(e)&&(o=Q.access(e),a=S.extend({},o),Q.set(t,a))}}function Pe(n,r,i,o){r=g(r);var e,t,a,s,u,l,c=0,f=n.length,p=f-1,d=r[0],h=m(d);if(h||1<f&&"string"==typeof d&&!y.checkClone&&De.test(d))return n.each(function(e){var t=n.eq(e);h&&(r[0]=d.call(this,e,t.html())),Pe(t,r,i,o)});if(f&&(t=(e=xe(r,n[0].ownerDocument,!1,n,o)).firstChild,1===e.childNodes.length&&(e=t),t||o)){for(s=(a=S.map(ve(e,"script"),Le)).length;c<f;c++)u=e,c!==p&&(u=S.clone(u,!0,!0),s&&S.merge(a,ve(u,"script"))),i.call(n[c],u,c);if(s)for(l=a[a.length-1].ownerDocument,S.map(a,He),c=0;c<s;c++)u=a[c],he.test(u.type||"")&&!Y.access(u,"globalEval")&&S.contains(l,u)&&(u.src&&"module"!==(u.type||"").toLowerCase()?S._evalUrl&&!u.noModule&&S._evalUrl(u.src,{nonce:u.nonce||u.getAttribute("nonce")},l):b(u.textContent.replace(je,""),u,l))}return n}function Re(e,t,n){for(var r,i=t?S.filter(t,e):e,o=0;null!=(r=i[o]);o++)n||1!==r.nodeType||S.cleanData(ve(r)),r.parentNode&&(n&&ie(r)&&ye(ve(r,"script")),r.parentNode.removeChild(r));return e}S.extend({htmlPrefilter:function(e){return e},clone:function(e,t,n){var r,i,o,a,s,u,l,c=e.cloneNode(!0),f=ie(e);if(!(y.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||S.isXMLDoc(e)))for(a=ve(c),r=0,i=(o=ve(e)).length;r<i;r++)s=o[r],u=a[r],void 0,"input"===(l=u.nodeName.toLowerCase())&&pe.test(s.type)?u.checked=s.checked:"input"!==l&&"textarea"!==l||(u.defaultValue=s.defaultValue);if(t)if(n)for(o=o||ve(e),a=a||ve(c),r=0,i=o.length;r<i;r++)Oe(o[r],a[r]);else Oe(e,c);return 0<(a=ve(c,"script")).length&&ye(a,!f&&ve(e,"script")),c},cleanData:function(e){for(var t,n,r,i=S.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?S.event.remove(n,r):S.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),S.fn.extend({detach:function(e){return Re(this,e,!0)},remove:function(e){return Re(this,e)},text:function(e){return $(this,function(e){return void 0===e?S.text(this):this.empty().each(function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)})},null,e,arguments.length)},append:function(){return Pe(this,arguments,function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||qe(this,e).appendChild(e)})},prepend:function(){return Pe(this,arguments,function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=qe(this,e);t.insertBefore(e,t.firstChild)}})},before:function(){return Pe(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this)})},after:function(){return Pe(this,arguments,function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)})},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(S.cleanData(ve(e,!1)),e.textContent="");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map(function(){return S.clone(this,e,t)})},html:function(e){return $(this,function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if("string"==typeof e&&!Ne.test(e)&&!ge[(de.exec(e)||["",""])[1].toLowerCase()]){e=S.htmlPrefilter(e);try{for(;n<r;n++)1===(t=this[n]||{}).nodeType&&(S.cleanData(ve(t,!1)),t.innerHTML=e);t=0}catch(e){}}t&&this.empty().append(e)},null,e,arguments.length)},replaceWith:function(){var n=[];return Pe(this,arguments,function(e){var t=this.parentNode;S.inArray(this,n)<0&&(S.cleanData(ve(this)),t&&t.replaceChild(e,this))},n)}}),S.each({appendTo:"append",prependTo:"prepend",insertBefore:"before",insertAfter:"after",replaceAll:"replaceWith"},function(e,a){S.fn[e]=function(e){for(var t,n=[],r=S(e),i=r.length-1,o=0;o<=i;o++)t=o===i?this:this.clone(!0),S(r[o])[a](t),u.apply(n,t.get());return this.pushStack(n)}});var Me=new RegExp("^("+ee+")(?!px)[a-z%]+$","i"),Ie=function(e){var t=e.ownerDocument.defaultView;return t&&t.opener||(t=C),t.getComputedStyle(e)},We=function(e,t,n){var r,i,o={};for(i in t)o[i]=e.style[i],e.style[i]=t[i];for(i in r=n.call(e),t)e.style[i]=o[i];return r},Fe=new RegExp(ne.join("|"),"i");function Be(e,t,n){var r,i,o,a,s=e.style;return(n=n||Ie(e))&&(""!==(a=n.getPropertyValue(t)||n[t])||ie(e)||(a=S.style(e,t)),!y.pixelBoxStyles()&&Me.test(a)&&Fe.test(t)&&(r=s.width,i=s.minWidth,o=s.maxWidth,s.minWidth=s.maxWidth=s.width=a,a=n.width,s.width=r,s.minWidth=i,s.maxWidth=o)),void 0!==a?a+"":a}function $e(e,t){return{get:function(){if(!e())return(this.get=t).apply(this,arguments);delete this.get}}}!function(){function e(){if(l){u.style.cssText="position:absolute;left:-11111px;width:60px;margin-top:1px;padding:0;border:0",l.style.cssText="position:relative;display:block;box-sizing:border-box;overflow:scroll;margin:auto;border:1px;padding:1px;width:60%;top:1%",re.appendChild(u).appendChild(l);var e=C.getComputedStyle(l);n="1%"!==e.top,s=12===t(e.marginLeft),l.style.right="60%",o=36===t(e.right),r=36===t(e.width),l.style.position="absolute",i=12===t(l.offsetWidth/3),re.removeChild(u),l=null}}function t(e){return Math.round(parseFloat(e))}var n,r,i,o,a,s,u=E.createElement("div"),l=E.createElement("div");l.style&&(l.style.backgroundClip="content-box",l.cloneNode(!0).style.backgroundClip="",y.clearCloneStyle="content-box"===l.style.backgroundClip,S.extend(y,{boxSizingReliable:function(){return e(),r},pixelBoxStyles:function(){return e(),o},pixelPosition:function(){return e(),n},reliableMarginLeft:function(){return e(),s},scrollboxSize:function(){return e(),i},reliableTrDimensions:function(){var e,t,n,r;return null==a&&(e=E.createElement("table"),t=E.createElement("tr"),n=E.createElement("div"),e.style.cssText="position:absolute;left:-11111px",t.style.height="1px",n.style.height="9px",re.appendChild(e).appendChild(t).appendChild(n),r=C.getComputedStyle(t),a=3<parseInt(r.height),re.removeChild(e)),a}}))}();var _e=["Webkit","Moz","ms"],ze=E.createElement("div").style,Ue={};function Xe(e){var t=S.cssProps[e]||Ue[e];return t||(e in ze?e:Ue[e]=function(e){var t=e[0].toUpperCase()+e.slice(1),n=_e.length;while(n--)if((e=_e[n]+t)in ze)return e}(e)||e)}var Ve=/^(none|table(?!-c[ea]).+)/,Ge=/^--/,Ye={position:"absolute",visibility:"hidden",display:"block"},Qe={letterSpacing:"0",fontWeight:"400"};function Je(e,t,n){var r=te.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||"px"):t}function Ke(e,t,n,r,i,o){var a="width"===t?1:0,s=0,u=0;if(n===(r?"border":"content"))return 0;for(;a<4;a+=2)"margin"===n&&(u+=S.css(e,n+ne[a],!0,i)),r?("content"===n&&(u-=S.css(e,"padding"+ne[a],!0,i)),"margin"!==n&&(u-=S.css(e,"border"+ne[a]+"Width",!0,i))):(u+=S.css(e,"padding"+ne[a],!0,i),"padding"!==n?u+=S.css(e,"border"+ne[a]+"Width",!0,i):s+=S.css(e,"border"+ne[a]+"Width",!0,i));return!r&&0<=o&&(u+=Math.max(0,Math.ceil(e["offset"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function Ze(e,t,n){var r=Ie(e),i=(!y.boxSizingReliable()||n)&&"border-box"===S.css(e,"boxSizing",!1,r),o=i,a=Be(e,t,r),s="offset"+t[0].toUpperCase()+t.slice(1);if(Me.test(a)){if(!n)return a;a="auto"}return(!y.boxSizingReliable()&&i||!y.reliableTrDimensions()&&A(e,"tr")||"auto"===a||!parseFloat(a)&&"inline"===S.css(e,"display",!1,r))&&e.getClientRects().length&&(i="border-box"===S.css(e,"boxSizing",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Ke(e,t,n||(i?"border":"content"),o,r,a)+"px"}function et(e,t,n,r,i){return new et.prototype.init(e,t,n,r,i)}S.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=Be(e,"opacity");return""===n?"1":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Ge.test(t),l=e.style;if(u||(t=Xe(s)),a=S.cssHooks[t]||S.cssHooks[s],void 0===n)return a&&"get"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];"string"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=se(e,t,i),o="number"),null!=n&&n==n&&("number"!==o||u||(n+=i&&i[3]||(S.cssNumber[s]?"":"px")),y.clearCloneStyle||""!==n||0!==t.indexOf("background")||(l[t]="inherit"),a&&"set"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Ge.test(t)||(t=Xe(s)),(a=S.cssHooks[t]||S.cssHooks[s])&&"get"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=Be(e,t,r)),"normal"===i&&t in Qe&&(i=Qe[t]),""===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),S.each(["height","width"],function(e,u){S.cssHooks[u]={get:function(e,t,n){if(t)return!Ve.test(S.css(e,"display"))||e.getClientRects().length&&e.getBoundingClientRect().width?Ze(e,u,n):We(e,Ye,function(){return Ze(e,u,n)})},set:function(e,t,n){var r,i=Ie(e),o=!y.scrollboxSize()&&"absolute"===i.position,a=(o||n)&&"border-box"===S.css(e,"boxSizing",!1,i),s=n?Ke(e,u,n,a,i):0;return a&&o&&(s-=Math.ceil(e["offset"+u[0].toUpperCase()+u.slice(1)]-parseFloat(i[u])-Ke(e,u,"border",!1,i)-.5)),s&&(r=te.exec(t))&&"px"!==(r[3]||"px")&&(e.style[u]=t,t=S.css(e,u)),Je(0,t,s)}}}),S.cssHooks.marginLeft=$e(y.reliableMarginLeft,function(e,t){if(t)return(parseFloat(Be(e,"marginLeft"))||e.getBoundingClientRect().left-We(e,{marginLeft:0},function(){return e.getBoundingClientRect().left}))+"px"}),S.each({margin:"",padding:"",border:"Width"},function(i,o){S.cssHooks[i+o]={expand:function(e){for(var t=0,n={},r="string"==typeof e?e.split(" "):[e];t<4;t++)n[i+ne[t]+o]=r[t]||r[t-2]||r[0];return n}},"margin"!==i&&(S.cssHooks[i+o].set=Je)}),S.fn.extend({css:function(e,t){return $(this,function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Ie(e),i=t.length;a<i;a++)o[t[a]]=S.css(e,t[a],!1,r);return o}return void 0!==n?S.style(e,t,n):S.css(e,t)},e,t,1<arguments.length)}}),((S.Tween=et).prototype={constructor:et,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||S.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(S.cssNumber[n]?"":"px")},cur:function(){var e=et.propHooks[this.prop];return e&&e.get?e.get(this):et.propHooks._default.get(this)},run:function(e){var t,n=et.propHooks[this.prop];return this.options.duration?this.pos=t=S.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):et.propHooks._default.set(this),this}}).init.prototype=et.prototype,(et.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=S.css(e.elem,e.prop,""))&&"auto"!==t?t:0},set:function(e){S.fx.step[e.prop]?S.fx.step[e.prop](e):1!==e.elem.nodeType||!S.cssHooks[e.prop]&&null==e.elem.style[Xe(e.prop)]?e.elem[e.prop]=e.now:S.style(e.elem,e.prop,e.now+e.unit)}}}).scrollTop=et.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},S.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:"swing"},S.fx=et.prototype.init,S.fx.step={};var tt,nt,rt,it,ot=/^(?:toggle|show|hide)$/,at=/queueHooks$/;function st(){nt&&(!1===E.hidden&&C.requestAnimationFrame?C.requestAnimationFrame(st):C.setTimeout(st,S.fx.interval),S.fx.tick())}function ut(){return C.setTimeout(function(){tt=void 0}),tt=Date.now()}function lt(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i["margin"+(n=ne[r])]=i["padding"+n]=e;return t&&(i.opacity=i.width=e),i}function ct(e,t,n){for(var r,i=(ft.tweeners[t]||[]).concat(ft.tweeners["*"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function ft(o,e,t){var n,a,r=0,i=ft.prefilters.length,s=S.Deferred().always(function(){delete u.elem}),u=function(){if(a)return!1;for(var e=tt||ut(),t=Math.max(0,l.startTime+l.duration-e),n=1-(t/l.duration||0),r=0,i=l.tweens.length;r<i;r++)l.tweens[r].run(n);return s.notifyWith(o,[l,n,t]),n<1&&i?t:(i||s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l]),!1)},l=s.promise({elem:o,props:S.extend({},e),opts:S.extend(!0,{specialEasing:{},easing:S.easing._default},t),originalProperties:e,originalOptions:t,startTime:tt||ut(),duration:t.duration,tweens:[],createTween:function(e,t){var n=S.Tween(o,l.opts,e,t,l.opts.specialEasing[e]||l.opts.easing);return l.tweens.push(n),n},stop:function(e){var t=0,n=e?l.tweens.length:0;if(a)return this;for(a=!0;t<n;t++)l.tweens[t].run(1);return e?(s.notifyWith(o,[l,1,0]),s.resolveWith(o,[l,e])):s.rejectWith(o,[l,e]),this}}),c=l.props;for(!function(e,t){var n,r,i,o,a;for(n in e)if(i=t[r=X(n)],o=e[n],Array.isArray(o)&&(i=o[1],o=e[n]=o[0]),n!==r&&(e[r]=o,delete e[n]),(a=S.cssHooks[r])&&"expand"in a)for(n in o=a.expand(o),delete e[r],o)n in e||(e[n]=o[n],t[n]=i);else t[r]=i}(c,l.opts.specialEasing);r<i;r++)if(n=ft.prefilters[r].call(l,o,c,l.opts))return m(n.stop)&&(S._queueHooks(l.elem,l.opts.queue).stop=n.stop.bind(n)),n;return S.map(c,ct,l),m(l.opts.start)&&l.opts.start.call(o,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),S.fx.timer(S.extend(u,{elem:o,anim:l,queue:l.opts.queue})),l}S.Animation=S.extend(ft,{tweeners:{"*":[function(e,t){var n=this.createTween(e,t);return se(n.elem,e,te.exec(t),n),n}]},tweener:function(e,t){m(e)?(t=e,e=["*"]):e=e.match(P);for(var n,r=0,i=e.length;r<i;r++)n=e[r],ft.tweeners[n]=ft.tweeners[n]||[],ft.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f="width"in t||"height"in t,p=this,d={},h=e.style,g=e.nodeType&&ae(e),v=Y.get(e,"fxshow");for(r in n.queue||(null==(a=S._queueHooks(e,"fx")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always(function(){p.always(function(){a.unqueued--,S.queue(e,"fx").length||a.empty.fire()})})),t)if(i=t[r],ot.test(i)){if(delete t[r],o=o||"toggle"===i,i===(g?"hide":"show")){if("show"!==i||!v||void 0===v[r])continue;g=!0}d[r]=v&&v[r]||S.style(e,r)}if((u=!S.isEmptyObject(t))||!S.isEmptyObject(d))for(r in f&&1===e.nodeType&&(n.overflow=[h.overflow,h.overflowX,h.overflowY],null==(l=v&&v.display)&&(l=Y.get(e,"display")),"none"===(c=S.css(e,"display"))&&(l?c=l:(le([e],!0),l=e.style.display||l,c=S.css(e,"display"),le([e]))),("inline"===c||"inline-block"===c&&null!=l)&&"none"===S.css(e,"float")&&(u||(p.done(function(){h.display=l}),null==l&&(c=h.display,l="none"===c?"":c)),h.display="inline-block")),n.overflow&&(h.overflow="hidden",p.always(function(){h.overflow=n.overflow[0],h.overflowX=n.overflow[1],h.overflowY=n.overflow[2]})),u=!1,d)u||(v?"hidden"in v&&(g=v.hidden):v=Y.access(e,"fxshow",{display:l}),o&&(v.hidden=!g),g&&le([e],!0),p.done(function(){for(r in g||le([e]),Y.remove(e,"fxshow"),d)S.style(e,r,d[r])})),u=ct(g?v[r]:0,r,p),r in v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?ft.prefilters.unshift(e):ft.prefilters.push(e)}}),S.speed=function(e,t,n){var r=e&&"object"==typeof e?S.extend({},e):{complete:n||!n&&t||m(e)&&e,duration:e,easing:n&&t||t&&!m(t)&&t};return S.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in S.fx.speeds?r.duration=S.fx.speeds[r.duration]:r.duration=S.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){m(r.old)&&r.old.call(this),r.queue&&S.dequeue(this,r.queue)},r},S.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ae).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=S.isEmptyObject(t),o=S.speed(e,n,r),a=function(){var e=ft(this,S.extend({},t),o);(i||Y.get(this,"finish"))&&e.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(i,e,o){var a=function(e){var t=e.stop;delete e.stop,t(o)};return"string"!=typeof i&&(o=e,e=i,i=void 0),e&&this.queue(i||"fx",[]),this.each(function(){var e=!0,t=null!=i&&i+"queueHooks",n=S.timers,r=Y.get(this);if(t)r[t]&&r[t].stop&&a(r[t]);else for(t in r)r[t]&&r[t].stop&&at.test(t)&&a(r[t]);for(t=n.length;t--;)n[t].elem!==this||null!=i&&n[t].queue!==i||(n[t].anim.stop(o),e=!1,n.splice(t,1));!e&&o||S.dequeue(this,i)})},finish:function(a){return!1!==a&&(a=a||"fx"),this.each(function(){var e,t=Y.get(this),n=t[a+"queue"],r=t[a+"queueHooks"],i=S.timers,o=n?n.length:0;for(t.finish=!0,S.queue(this,a,[]),r&&r.stop&&r.stop.call(this,!0),e=i.length;e--;)i[e].elem===this&&i[e].queue===a&&(i[e].anim.stop(!0),i.splice(e,1));for(e=0;e<o;e++)n[e]&&n[e].finish&&n[e].finish.call(this);delete t.finish})}}),S.each(["toggle","show","hide"],function(e,r){var i=S.fn[r];S.fn[r]=function(e,t,n){return null==e||"boolean"==typeof e?i.apply(this,arguments):this.animate(lt(r,!0),e,t,n)}}),S.each({slideDown:lt("show"),slideUp:lt("hide"),slideToggle:lt("toggle"),fadeIn:{opacity:"show"},fadeOut:{opacity:"hide"},fadeToggle:{opacity:"toggle"}},function(e,r){S.fn[e]=function(e,t,n){return this.animate(r,e,t,n)}}),S.timers=[],S.fx.tick=function(){var e,t=0,n=S.timers;for(tt=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||S.fx.stop(),tt=void 0},S.fx.timer=function(e){S.timers.push(e),S.fx.start()},S.fx.interval=13,S.fx.start=function(){nt||(nt=!0,st())},S.fx.stop=function(){nt=null},S.fx.speeds={slow:600,fast:200,_default:400},S.fn.delay=function(r,e){return r=S.fx&&S.fx.speeds[r]||r,e=e||"fx",this.queue(e,function(e,t){var n=C.setTimeout(e,r);t.stop=function(){C.clearTimeout(n)}})},rt=E.createElement("input"),it=E.createElement("select").appendChild(E.createElement("option")),rt.type="checkbox",y.checkOn=""!==rt.value,y.optSelected=it.selected,(rt=E.createElement("input")).value="t",rt.type="radio",y.radioValue="t"===rt.value;var pt,dt=S.expr.attrHandle;S.fn.extend({attr:function(e,t){return $(this,S.attr,e,t,1<arguments.length)},removeAttr:function(e){return this.each(function(){S.removeAttr(this,e)})}}),S.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return"undefined"==typeof e.getAttribute?S.prop(e,t,n):(1===o&&S.isXMLDoc(e)||(i=S.attrHooks[t.toLowerCase()]||(S.expr.match.bool.test(t)?pt:void 0)),void 0!==n?null===n?void S.removeAttr(e,t):i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+""),n):i&&"get"in i&&null!==(r=i.get(e,t))?r:null==(r=S.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!y.radioValue&&"radio"===t&&A(e,"input")){var n=e.value;return e.setAttribute("type",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)while(n=i[r++])e.removeAttribute(n)}}),pt={set:function(e,t,n){return!1===t?S.removeAttr(e,n):e.setAttribute(n,n),n}},S.each(S.expr.match.bool.source.match(/\w+/g),function(e,t){var a=dt[t]||S.find.attr;dt[t]=function(e,t,n){var r,i,o=t.toLowerCase();return n||(i=dt[o],dt[o]=r,r=null!=a(e,t,n)?o:null,dt[o]=i),r}});var ht=/^(?:input|select|textarea|button)$/i,gt=/^(?:a|area)$/i;function vt(e){return(e.match(P)||[]).join(" ")}function yt(e){return e.getAttribute&&e.getAttribute("class")||""}function mt(e){return Array.isArray(e)?e:"string"==typeof e&&e.match(P)||[]}S.fn.extend({prop:function(e,t){return $(this,S.prop,e,t,1<arguments.length)},removeProp:function(e){return this.each(function(){delete this[S.propFix[e]||e]})}}),S.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&S.isXMLDoc(e)||(t=S.propFix[t]||t,i=S.propHooks[t]),void 0!==n?i&&"set"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&"get"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=S.find.attr(e,"tabindex");return t?parseInt(t,10):ht.test(e.nodeName)||gt.test(e.nodeName)&&e.href?0:-1}}},propFix:{"for":"htmlFor","class":"className"}}),y.optSelected||(S.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),S.each(["tabIndex","readOnly","maxLength","cellSpacing","cellPadding","rowSpan","colSpan","useMap","frameBorder","contentEditable"],function(){S.propFix[this.toLowerCase()]=this}),S.fn.extend({addClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).addClass(t.call(this,e,yt(this)))});if((e=mt(t)).length)while(n=this[u++])if(i=yt(n),r=1===n.nodeType&&" "+vt(i)+" "){a=0;while(o=e[a++])r.indexOf(" "+o+" ")<0&&(r+=o+" ");i!==(s=vt(r))&&n.setAttribute("class",s)}return this},removeClass:function(t){var e,n,r,i,o,a,s,u=0;if(m(t))return this.each(function(e){S(this).removeClass(t.call(this,e,yt(this)))});if(!arguments.length)return this.attr("class","");if((e=mt(t)).length)while(n=this[u++])if(i=yt(n),r=1===n.nodeType&&" "+vt(i)+" "){a=0;while(o=e[a++])while(-1<r.indexOf(" "+o+" "))r=r.replace(" "+o+" "," ");i!==(s=vt(r))&&n.setAttribute("class",s)}return this},toggleClass:function(i,t){var o=typeof i,a="string"===o||Array.isArray(i);return"boolean"==typeof t&&a?t?this.addClass(i):this.removeClass(i):m(i)?this.each(function(e){S(this).toggleClass(i.call(this,e,yt(this),t),t)}):this.each(function(){var e,t,n,r;if(a){t=0,n=S(this),r=mt(i);while(e=r[t++])n.hasClass(e)?n.removeClass(e):n.addClass(e)}else void 0!==i&&"boolean"!==o||((e=yt(this))&&Y.set(this,"__className__",e),this.setAttribute&&this.setAttribute("class",e||!1===i?"":Y.get(this,"__className__")||""))})},hasClass:function(e){var t,n,r=0;t=" "+e+" ";while(n=this[r++])if(1===n.nodeType&&-1<(" "+vt(yt(n))+" ").indexOf(t))return!0;return!1}});var xt=/\r/g;S.fn.extend({val:function(n){var r,e,i,t=this[0];return arguments.length?(i=m(n),this.each(function(e){var t;1===this.nodeType&&(null==(t=i?n.call(this,e,S(this).val()):n)?t="":"number"==typeof t?t+="":Array.isArray(t)&&(t=S.map(t,function(e){return null==e?"":e+""})),(r=S.valHooks[this.type]||S.valHooks[this.nodeName.toLowerCase()])&&"set"in r&&void 0!==r.set(this,t,"value")||(this.value=t))})):t?(r=S.valHooks[t.type]||S.valHooks[t.nodeName.toLowerCase()])&&"get"in r&&void 0!==(e=r.get(t,"value"))?e:"string"==typeof(e=t.value)?e.replace(xt,""):null==e?"":e:void 0}}),S.extend({valHooks:{option:{get:function(e){var t=S.find.attr(e,"value");return null!=t?t:vt(S.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a="select-one"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!A(n.parentNode,"optgroup"))){if(t=S(n).val(),a)return t;s.push(t)}return s},set:function(e,t){var n,r,i=e.options,o=S.makeArray(t),a=i.length;while(a--)((r=i[a]).selected=-1<S.inArray(S.valHooks.option.get(r),o))&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),S.each(["radio","checkbox"],function(){S.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=-1<S.inArray(S(e).val(),t)}},y.checkOn||(S.valHooks[this].get=function(e){return null===e.getAttribute("value")?"on":e.value})}),y.focusin="onfocusin"in C;var bt=/^(?:focusinfocus|focusoutblur)$/,wt=function(e){e.stopPropagation()};S.extend(S.event,{trigger:function(e,t,n,r){var i,o,a,s,u,l,c,f,p=[n||E],d=v.call(e,"type")?e.type:e,h=v.call(e,"namespace")?e.namespace.split("."):[];if(o=f=a=n=n||E,3!==n.nodeType&&8!==n.nodeType&&!bt.test(d+S.event.triggered)&&(-1<d.indexOf(".")&&(d=(h=d.split(".")).shift(),h.sort()),u=d.indexOf(":")<0&&"on"+d,(e=e[S.expando]?e:new S.Event(d,"object"==typeof e&&e)).isTrigger=r?2:3,e.namespace=h.join("."),e.rnamespace=e.namespace?new RegExp("(^|\\.)"+h.join("\\.(?:.*\\.|)")+"(\\.|$)"):null,e.result=void 0,e.target||(e.target=n),t=null==t?[e]:S.makeArray(t,[e]),c=S.event.special[d]||{},r||!c.trigger||!1!==c.trigger.apply(n,t))){if(!r&&!c.noBubble&&!x(n)){for(s=c.delegateType||d,bt.test(s+d)||(o=o.parentNode);o;o=o.parentNode)p.push(o),a=o;a===(n.ownerDocument||E)&&p.push(a.defaultView||a.parentWindow||C)}i=0;while((o=p[i++])&&!e.isPropagationStopped())f=o,e.type=1<i?s:c.bindType||d,(l=(Y.get(o,"events")||Object.create(null))[e.type]&&Y.get(o,"handle"))&&l.apply(o,t),(l=u&&o[u])&&l.apply&&V(o)&&(e.result=l.apply(o,t),!1===e.result&&e.preventDefault());return e.type=d,r||e.isDefaultPrevented()||c._default&&!1!==c._default.apply(p.pop(),t)||!V(n)||u&&m(n[d])&&!x(n)&&((a=n[u])&&(n[u]=null),S.event.triggered=d,e.isPropagationStopped()&&f.addEventListener(d,wt),n[d](),e.isPropagationStopped()&&f.removeEventListener(d,wt),S.event.triggered=void 0,a&&(n[u]=a)),e.result}},simulate:function(e,t,n){var r=S.extend(new S.Event,n,{type:e,isSimulated:!0});S.event.trigger(r,null,t)}}),S.fn.extend({trigger:function(e,t){return this.each(function(){S.event.trigger(e,t,this)})},triggerHandler:function(e,t){var n=this[0];if(n)return S.event.trigger(e,t,n,!0)}}),y.focusin||S.each({focus:"focusin",blur:"focusout"},function(n,r){var i=function(e){S.event.simulate(r,e.target,S.event.fix(e))};S.event.special[r]={setup:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r);t||e.addEventListener(n,i,!0),Y.access(e,r,(t||0)+1)},teardown:function(){var e=this.ownerDocument||this.document||this,t=Y.access(e,r)-1;t?Y.access(e,r,t):(e.removeEventListener(n,i,!0),Y.remove(e,r))}}});var Tt=C.location,Ct={guid:Date.now()},Et=/\?/;S.parseXML=function(e){var t;if(!e||"string"!=typeof e)return null;try{t=(new C.DOMParser).parseFromString(e,"text/xml")}catch(e){t=void 0}return t&&!t.getElementsByTagName("parsererror").length||S.error("Invalid XML: "+e),t};var St=/\[\]$/,kt=/\r?\n/g,At=/^(?:submit|button|image|reset|file)$/i,Nt=/^(?:input|select|textarea|keygen)/i;function Dt(n,e,r,i){var t;if(Array.isArray(e))S.each(e,function(e,t){r||St.test(n)?i(n,t):Dt(n+"["+("object"==typeof t&&null!=t?e:"")+"]",t,r,i)});else if(r||"object"!==w(e))i(n,e);else for(t in e)Dt(n+"["+t+"]",e[t],r,i)}S.param=function(e,t){var n,r=[],i=function(e,t){var n=m(t)?t():t;r[r.length]=encodeURIComponent(e)+"="+encodeURIComponent(null==n?"":n)};if(null==e)return"";if(Array.isArray(e)||e.jquery&&!S.isPlainObject(e))S.each(e,function(){i(this.name,this.value)});else for(n in e)Dt(n,e[n],t,i);return r.join("&")},S.fn.extend({serialize:function(){return S.param(this.serializeArray())},serializeArray:function(){return this.map(function(){var e=S.prop(this,"elements");return e?S.makeArray(e):this}).filter(function(){var e=this.type;return this.name&&!S(this).is(":disabled")&&Nt.test(this.nodeName)&&!At.test(e)&&(this.checked||!pe.test(e))}).map(function(e,t){var n=S(this).val();return null==n?null:Array.isArray(n)?S.map(n,function(e){return{name:t.name,value:e.replace(kt,"\r\n")}}):{name:t.name,value:n.replace(kt,"\r\n")}}).get()}});var jt=/%20/g,qt=/#.*$/,Lt=/([?&])_=[^&]*/,Ht=/^(.*?):[ \t]*([^\r\n]*)$/gm,Ot=/^(?:GET|HEAD)$/,Pt=/^\/\//,Rt={},Mt={},It="*/".concat("*"),Wt=E.createElement("a");function Ft(o){return function(e,t){"string"!=typeof e&&(t=e,e="*");var n,r=0,i=e.toLowerCase().match(P)||[];if(m(t))while(n=i[r++])"+"===n[0]?(n=n.slice(1)||"*",(o[n]=o[n]||[]).unshift(t)):(o[n]=o[n]||[]).push(t)}}function Bt(t,i,o,a){var s={},u=t===Mt;function l(e){var r;return s[e]=!0,S.each(t[e]||[],function(e,t){var n=t(i,o,a);return"string"!=typeof n||u||s[n]?u?!(r=n):void 0:(i.dataTypes.unshift(n),l(n),!1)}),r}return l(i.dataTypes[0])||!s["*"]&&l("*")}function $t(e,t){var n,r,i=S.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&S.extend(!0,e,r),e}Wt.href=Tt.href,S.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:Tt.href,type:"GET",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(Tt.protocol),global:!0,processData:!0,async:!0,contentType:"application/x-www-form-urlencoded; charset=UTF-8",accepts:{"*":It,text:"text/plain",html:"text/html",xml:"application/xml, text/xml",json:"application/json, text/javascript"},contents:{xml:/\bxml\b/,html:/\bhtml/,json:/\bjson\b/},responseFields:{xml:"responseXML",text:"responseText",json:"responseJSON"},converters:{"* text":String,"text html":!0,"text json":JSON.parse,"text xml":S.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?$t($t(e,S.ajaxSettings),t):$t(S.ajaxSettings,e)},ajaxPrefilter:Ft(Rt),ajaxTransport:Ft(Mt),ajax:function(e,t){"object"==typeof e&&(t=e,e=void 0),t=t||{};var c,f,p,n,d,r,h,g,i,o,v=S.ajaxSetup({},t),y=v.context||v,m=v.context&&(y.nodeType||y.jquery)?S(y):S.event,x=S.Deferred(),b=S.Callbacks("once memory"),w=v.statusCode||{},a={},s={},u="canceled",T={readyState:0,getResponseHeader:function(e){var t;if(h){if(!n){n={};while(t=Ht.exec(p))n[t[1].toLowerCase()+" "]=(n[t[1].toLowerCase()+" "]||[]).concat(t[2])}t=n[e.toLowerCase()+" "]}return null==t?null:t.join(", ")},getAllResponseHeaders:function(){return h?p:null},setRequestHeader:function(e,t){return null==h&&(e=s[e.toLowerCase()]=s[e.toLowerCase()]||e,a[e]=t),this},overrideMimeType:function(e){return null==h&&(v.mimeType=e),this},statusCode:function(e){var t;if(e)if(h)T.always(e[T.status]);else for(t in e)w[t]=[w[t],e[t]];return this},abort:function(e){var t=e||u;return c&&c.abort(t),l(0,t),this}};if(x.promise(T),v.url=((e||v.url||Tt.href)+"").replace(Pt,Tt.protocol+"//"),v.type=t.method||t.type||v.method||v.type,v.dataTypes=(v.dataType||"*").toLowerCase().match(P)||[""],null==v.crossDomain){r=E.createElement("a");try{r.href=v.url,r.href=r.href,v.crossDomain=Wt.protocol+"//"+Wt.host!=r.protocol+"//"+r.host}catch(e){v.crossDomain=!0}}if(v.data&&v.processData&&"string"!=typeof v.data&&(v.data=S.param(v.data,v.traditional)),Bt(Rt,v,t,T),h)return T;for(i in(g=S.event&&v.global)&&0==S.active++&&S.event.trigger("ajaxStart"),v.type=v.type.toUpperCase(),v.hasContent=!Ot.test(v.type),f=v.url.replace(qt,""),v.hasContent?v.data&&v.processData&&0===(v.contentType||"").indexOf("application/x-www-form-urlencoded")&&(v.data=v.data.replace(jt,"+")):(o=v.url.slice(f.length),v.data&&(v.processData||"string"==typeof v.data)&&(f+=(Et.test(f)?"&":"?")+v.data,delete v.data),!1===v.cache&&(f=f.replace(Lt,"$1"),o=(Et.test(f)?"&":"?")+"_="+Ct.guid+++o),v.url=f+o),v.ifModified&&(S.lastModified[f]&&T.setRequestHeader("If-Modified-Since",S.lastModified[f]),S.etag[f]&&T.setRequestHeader("If-None-Match",S.etag[f])),(v.data&&v.hasContent&&!1!==v.contentType||t.contentType)&&T.setRequestHeader("Content-Type",v.contentType),T.setRequestHeader("Accept",v.dataTypes[0]&&v.accepts[v.dataTypes[0]]?v.accepts[v.dataTypes[0]]+("*"!==v.dataTypes[0]?", "+It+"; q=0.01":""):v.accepts["*"]),v.headers)T.setRequestHeader(i,v.headers[i]);if(v.beforeSend&&(!1===v.beforeSend.call(y,T,v)||h))return T.abort();if(u="abort",b.add(v.complete),T.done(v.success),T.fail(v.error),c=Bt(Mt,v,t,T)){if(T.readyState=1,g&&m.trigger("ajaxSend",[T,v]),h)return T;v.async&&0<v.timeout&&(d=C.setTimeout(function(){T.abort("timeout")},v.timeout));try{h=!1,c.send(a,l)}catch(e){if(h)throw e;l(-1,e)}}else l(-1,"No Transport");function l(e,t,n,r){var i,o,a,s,u,l=t;h||(h=!0,d&&C.clearTimeout(d),c=void 0,p=r||"",T.readyState=0<e?4:0,i=200<=e&&e<300||304===e,n&&(s=function(e,t,n){var r,i,o,a,s=e.contents,u=e.dataTypes;while("*"===u[0])u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader("Content-Type"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+" "+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(v,T,n)),!i&&-1<S.inArray("script",v.dataTypes)&&(v.converters["text script"]=function(){}),s=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];o=c.shift();while(o)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if("*"===o)o=u;else if("*"!==u&&u!==o){if(!(a=l[u+" "+o]||l["* "+o]))for(i in l)if((s=i.split(" "))[1]===o&&(a=l[u+" "+s[0]]||l["* "+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e["throws"])t=a(t);else try{t=a(t)}catch(e){return{state:"parsererror",error:a?e:"No conversion from "+u+" to "+o}}}return{state:"success",data:t}}(v,s,T,i),i?(v.ifModified&&((u=T.getResponseHeader("Last-Modified"))&&(S.lastModified[f]=u),(u=T.getResponseHeader("etag"))&&(S.etag[f]=u)),204===e||"HEAD"===v.type?l="nocontent":304===e?l="notmodified":(l=s.state,o=s.data,i=!(a=s.error))):(a=l,!e&&l||(l="error",e<0&&(e=0))),T.status=e,T.statusText=(t||l)+"",i?x.resolveWith(y,[o,l,T]):x.rejectWith(y,[T,l,a]),T.statusCode(w),w=void 0,g&&m.trigger(i?"ajaxSuccess":"ajaxError",[T,v,i?o:a]),b.fireWith(y,[T,l]),g&&(m.trigger("ajaxComplete",[T,v]),--S.active||S.event.trigger("ajaxStop")))}return T},getJSON:function(e,t,n){return S.get(e,t,n,"json")},getScript:function(e,t){return S.get(e,void 0,t,"script")}}),S.each(["get","post"],function(e,i){S[i]=function(e,t,n,r){return m(t)&&(r=r||n,n=t,t=void 0),S.ajax(S.extend({url:e,type:i,dataType:r,data:t,success:n},S.isPlainObject(e)&&e))}}),S.ajaxPrefilter(function(e){var t;for(t in e.headers)"content-type"===t.toLowerCase()&&(e.contentType=e.headers[t]||"")}),S._evalUrl=function(e,t,n){return S.ajax({url:e,type:"GET",dataType:"script",cache:!0,async:!1,global:!1,converters:{"text script":function(){}},dataFilter:function(e){S.globalEval(e,t,n)}})},S.fn.extend({wrapAll:function(e){var t;return this[0]&&(m(e)&&(e=e.call(this[0])),t=S(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map(function(){var e=this;while(e.firstElementChild)e=e.firstElementChild;return e}).append(this)),this},wrapInner:function(n){return m(n)?this.each(function(e){S(this).wrapInner(n.call(this,e))}):this.each(function(){var e=S(this),t=e.contents();t.length?t.wrapAll(n):e.append(n)})},wrap:function(t){var n=m(t);return this.each(function(e){S(this).wrapAll(n?t.call(this,e):t)})},unwrap:function(e){return this.parent(e).not("body").each(function(){S(this).replaceWith(this.childNodes)}),this}}),S.expr.pseudos.hidden=function(e){return!S.expr.pseudos.visible(e)},S.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},S.ajaxSettings.xhr=function(){try{return new C.XMLHttpRequest}catch(e){}};var _t={0:200,1223:204},zt=S.ajaxSettings.xhr();y.cors=!!zt&&"withCredentials"in zt,y.ajax=zt=!!zt,S.ajaxTransport(function(i){var o,a;if(y.cors||zt&&!i.crossDomain)return{send:function(e,t){var n,r=i.xhr();if(r.open(i.type,i.url,i.async,i.username,i.password),i.xhrFields)for(n in i.xhrFields)r[n]=i.xhrFields[n];for(n in i.mimeType&&r.overrideMimeType&&r.overrideMimeType(i.mimeType),i.crossDomain||e["X-Requested-With"]||(e["X-Requested-With"]="XMLHttpRequest"),e)r.setRequestHeader(n,e[n]);o=function(e){return function(){o&&(o=a=r.onload=r.onerror=r.onabort=r.ontimeout=r.onreadystatechange=null,"abort"===e?r.abort():"error"===e?"number"!=typeof r.status?t(0,"error"):t(r.status,r.statusText):t(_t[r.status]||r.status,r.statusText,"text"!==(r.responseType||"text")||"string"!=typeof r.responseText?{binary:r.response}:{text:r.responseText},r.getAllResponseHeaders()))}},r.onload=o(),a=r.onerror=r.ontimeout=o("error"),void 0!==r.onabort?r.onabort=a:r.onreadystatechange=function(){4===r.readyState&&C.setTimeout(function(){o&&a()})},o=o("abort");try{r.send(i.hasContent&&i.data||null)}catch(e){if(o)throw e}},abort:function(){o&&o()}}}),S.ajaxPrefilter(function(e){e.crossDomain&&(e.contents.script=!1)}),S.ajaxSetup({accepts:{script:"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript"},contents:{script:/\b(?:java|ecma)script\b/},converters:{"text script":function(e){return S.globalEval(e),e}}}),S.ajaxPrefilter("script",function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type="GET")}),S.ajaxTransport("script",function(n){var r,i;if(n.crossDomain||n.scriptAttrs)return{send:function(e,t){r=S("<script>").attr(n.scriptAttrs||{}).prop({charset:n.scriptCharset,src:n.url}).on("load error",i=function(e){r.remove(),i=null,e&&t("error"===e.type?404:200,e.type)}),E.head.appendChild(r[0])},abort:function(){i&&i()}}});var Ut,Xt=[],Vt=/(=)\?(?=&|$)|\?\?/;S.ajaxSetup({jsonp:"callback",jsonpCallback:function(){var e=Xt.pop()||S.expando+"_"+Ct.guid++;return this[e]=!0,e}}),S.ajaxPrefilter("json jsonp",function(e,t,n){var r,i,o,a=!1!==e.jsonp&&(Vt.test(e.url)?"url":"string"==typeof e.data&&0===(e.contentType||"").indexOf("application/x-www-form-urlencoded")&&Vt.test(e.data)&&"data");if(a||"jsonp"===e.dataTypes[0])return r=e.jsonpCallback=m(e.jsonpCallback)?e.jsonpCallback():e.jsonpCallback,a?e[a]=e[a].replace(Vt,"$1"+r):!1!==e.jsonp&&(e.url+=(Et.test(e.url)?"&":"?")+e.jsonp+"="+r),e.converters["script json"]=function(){return o||S.error(r+" was not called"),o[0]},e.dataTypes[0]="json",i=C[r],C[r]=function(){o=arguments},n.always(function(){void 0===i?S(C).removeProp(r):C[r]=i,e[r]&&(e.jsonpCallback=t.jsonpCallback,Xt.push(r)),o&&m(i)&&i(o[0]),o=i=void 0}),"script"}),y.createHTMLDocument=((Ut=E.implementation.createHTMLDocument("").body).innerHTML="<form></form><form></form>",2===Ut.childNodes.length),S.parseHTML=function(e,t,n){return"string"!=typeof e?[]:("boolean"==typeof t&&(n=t,t=!1),t||(y.createHTMLDocument?((r=(t=E.implementation.createHTMLDocument("")).createElement("base")).href=E.location.href,t.head.appendChild(r)):t=E),o=!n&&[],(i=N.exec(e))?[t.createElement(i[1])]:(i=xe([e],t,o),o&&o.length&&S(o).remove(),S.merge([],i.childNodes)));var r,i,o},S.fn.load=function(e,t,n){var r,i,o,a=this,s=e.indexOf(" ");return-1<s&&(r=vt(e.slice(s)),e=e.slice(0,s)),m(t)?(n=t,t=void 0):t&&"object"==typeof t&&(i="POST"),0<a.length&&S.ajax({url:e,type:i||"GET",dataType:"html",data:t}).done(function(e){o=arguments,a.html(r?S("<div>").append(S.parseHTML(e)).find(r):e)}).always(n&&function(e,t){a.each(function(){n.apply(this,o||[e.responseText,t,e])})}),this},S.expr.pseudos.animated=function(t){return S.grep(S.timers,function(e){return t===e.elem}).length},S.offset={setOffset:function(e,t,n){var r,i,o,a,s,u,l=S.css(e,"position"),c=S(e),f={};"static"===l&&(e.style.position="relative"),s=c.offset(),o=S.css(e,"top"),u=S.css(e,"left"),("absolute"===l||"fixed"===l)&&-1<(o+u).indexOf("auto")?(a=(r=c.position()).top,i=r.left):(a=parseFloat(o)||0,i=parseFloat(u)||0),m(t)&&(t=t.call(e,n,S.extend({},s))),null!=t.top&&(f.top=t.top-s.top+a),null!=t.left&&(f.left=t.left-s.left+i),"using"in t?t.using.call(e,f):("number"==typeof f.top&&(f.top+="px"),"number"==typeof f.left&&(f.left+="px"),c.css(f))}},S.fn.extend({offset:function(t){if(arguments.length)return void 0===t?this:this.each(function(e){S.offset.setOffset(this,t,e)});var e,n,r=this[0];return r?r.getClientRects().length?(e=r.getBoundingClientRect(),n=r.ownerDocument.defaultView,{top:e.top+n.pageYOffset,left:e.left+n.pageXOffset}):{top:0,left:0}:void 0},position:function(){if(this[0]){var e,t,n,r=this[0],i={top:0,left:0};if("fixed"===S.css(r,"position"))t=r.getBoundingClientRect();else{t=this.offset(),n=r.ownerDocument,e=r.offsetParent||n.documentElement;while(e&&(e===n.body||e===n.documentElement)&&"static"===S.css(e,"position"))e=e.parentNode;e&&e!==r&&1===e.nodeType&&((i=S(e).offset()).top+=S.css(e,"borderTopWidth",!0),i.left+=S.css(e,"borderLeftWidth",!0))}return{top:t.top-i.top-S.css(r,"marginTop",!0),left:t.left-i.left-S.css(r,"marginLeft",!0)}}},offsetParent:function(){return this.map(function(){var e=this.offsetParent;while(e&&"static"===S.css(e,"position"))e=e.offsetParent;return e||re})}}),S.each({scrollLeft:"pageXOffset",scrollTop:"pageYOffset"},function(t,i){var o="pageYOffset"===i;S.fn[t]=function(e){return $(this,function(e,t,n){var r;if(x(e)?r=e:9===e.nodeType&&(r=e.defaultView),void 0===n)return r?r[i]:e[t];r?r.scrollTo(o?r.pageXOffset:n,o?n:r.pageYOffset):e[t]=n},t,e,arguments.length)}}),S.each(["top","left"],function(e,n){S.cssHooks[n]=$e(y.pixelPosition,function(e,t){if(t)return t=Be(e,n),Me.test(t)?S(e).position()[n]+"px":t})}),S.each({Height:"height",Width:"width"},function(a,s){S.each({padding:"inner"+a,content:s,"":"outer"+a},function(r,o){S.fn[o]=function(e,t){var n=arguments.length&&(r||"boolean"!=typeof e),i=r||(!0===e||!0===t?"margin":"border");return $(this,function(e,t,n){var r;return x(e)?0===o.indexOf("outer")?e["inner"+a]:e.document.documentElement["client"+a]:9===e.nodeType?(r=e.documentElement,Math.max(e.body["scroll"+a],r["scroll"+a],e.body["offset"+a],r["offset"+a],r["client"+a])):void 0===n?S.css(e,t,i):S.style(e,t,n,i)},s,n?e:void 0,n)}})}),S.each(["ajaxStart","ajaxStop","ajaxComplete","ajaxError","ajaxSuccess","ajaxSend"],function(e,t){S.fn[t]=function(e){return this.on(t,e)}}),S.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,"**"):this.off(t,e||"**",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),S.each("blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu".split(" "),function(e,n){S.fn[n]=function(e,t){return 0<arguments.length?this.on(n,null,e,t):this.trigger(n)}});var Gt=/^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;S.proxy=function(e,t){var n,r,i;if("string"==typeof t&&(n=e[t],t=e,e=n),m(e))return r=s.call(arguments,2),(i=function(){return e.apply(t||this,r.concat(s.call(arguments)))}).guid=e.guid=e.guid||S.guid++,i},S.holdReady=function(e){e?S.readyWait++:S.ready(!0)},S.isArray=Array.isArray,S.parseJSON=JSON.parse,S.nodeName=A,S.isFunction=m,S.isWindow=x,S.camelCase=X,S.type=w,S.now=Date.now,S.isNumeric=function(e){var t=S.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},S.trim=function(e){return null==e?"":(e+"").replace(Gt,"")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return S});var Yt=C.jQuery,Qt=C.$;return S.noConflict=function(e){return C.$===S&&(C.$=Qt),e&&C.jQuery===S&&(C.jQuery=Yt),S},"undefined"==typeof e&&(C.jQuery=C.$=S),S});
diff --git a/docs/0.10.3/html/_static/language_data.js b/docs/0.10.3/html/_static/language_data.js
new file mode 100644
index 000000000..863704b31
--- /dev/null
+++ b/docs/0.10.3/html/_static/language_data.js
@@ -0,0 +1,297 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+
+
+/* Non-minified version is copied as a separate JS file, is available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
+
+
+
+var splitChars = (function() {
+    var result = {};
+    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
+         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
+         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
+         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
+         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
+         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
+         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
+         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
+         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
+         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
+    var i, j, start, end;
+    for (i = 0; i < singles.length; i++) {
+        result[singles[i]] = true;
+    }
+    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
+         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
+         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
+         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
+         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
+         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
+         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
+         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
+         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
+         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
+         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
+         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
+         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
+         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
+         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
+         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
+         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
+         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
+         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
+         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
+         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
+         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
+         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
+         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
+         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
+         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
+         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
+         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
+         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
+         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
+         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
+         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
+         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
+         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
+         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
+         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
+         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
+         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
+         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
+         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
+         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
+         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
+         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
+         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
+         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
+         [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274],
+         [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007],
+         [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381],
+         [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]];
+    for (i = 0; i < ranges.length; i++) {
+        start = ranges[i][0];
+        end = ranges[i][1];
+        for (j = start; j <= end; j++) {
+            result[j] = true;
+        }
+    }
+    return result;
+})();
+
+function splitQuery(query) {
+    var result = [];
+    var start = -1;
+    for (var i = 0; i < query.length; i++) {
+        if (splitChars[query.charCodeAt(i)]) {
+            if (start !== -1) {
+                result.push(query.slice(start, i));
+                start = -1;
+            }
+        } else if (start === -1) {
+            start = i;
+        }
+    }
+    if (start !== -1) {
+        result.push(query.slice(start));
+    }
+    return result;
+}
+
+
diff --git a/docs/0.10.3/html/_static/minus.png b/docs/0.10.3/html/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj
kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/plus.png b/docs/0.10.3/html/_static/plus.png
new file mode 100644
index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu>-2
m3q%Vub%g%s<8sJhVPMczOq}xhg9DJoz~JfX=d#Wzp$Pyb1r*Kz

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/_static/pygments.css b/docs/0.10.3/html/_static/pygments.css
new file mode 100644
index 000000000..84ab3030a
--- /dev/null
+++ b/docs/0.10.3/html/_static/pygments.css
@@ -0,0 +1,75 @@
+pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #ffffcc }
+.highlight { background: #f8f8f8; }
+.highlight .c { color: #3D7B7B; font-style: italic } /* Comment */
+.highlight .err { border: 1px solid #FF0000 } /* Error */
+.highlight .k { color: #008000; font-weight: bold } /* Keyword */
+.highlight .o { color: #666666 } /* Operator */
+.highlight .ch { color: #3D7B7B; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #3D7B7B; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #9C6500 } /* Comment.Preproc */
+.highlight .cpf { color: #3D7B7B; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #3D7B7B; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #A00000 } /* Generic.Deleted */
+.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .ges { font-weight: bold; font-style: italic } /* Generic.EmphStrong */
+.highlight .gr { color: #E40000 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #008400 } /* Generic.Inserted */
+.highlight .go { color: #717171 } /* Generic.Output */
+.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
+.highlight .gs { font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #0044DD } /* Generic.Traceback */
+.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #008000 } /* Keyword.Pseudo */
+.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #B00040 } /* Keyword.Type */
+.highlight .m { color: #666666 } /* Literal.Number */
+.highlight .s { color: #BA2121 } /* Literal.String */
+.highlight .na { color: #687822 } /* Name.Attribute */
+.highlight .nb { color: #008000 } /* Name.Builtin */
+.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
+.highlight .no { color: #880000 } /* Name.Constant */
+.highlight .nd { color: #AA22FF } /* Name.Decorator */
+.highlight .ni { color: #717171; font-weight: bold } /* Name.Entity */
+.highlight .ne { color: #CB3F38; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #0000FF } /* Name.Function */
+.highlight .nl { color: #767600 } /* Name.Label */
+.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
+.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #19177C } /* Name.Variable */
+.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
+.highlight .w { color: #bbbbbb } /* Text.Whitespace */
+.highlight .mb { color: #666666 } /* Literal.Number.Bin */
+.highlight .mf { color: #666666 } /* Literal.Number.Float */
+.highlight .mh { color: #666666 } /* Literal.Number.Hex */
+.highlight .mi { color: #666666 } /* Literal.Number.Integer */
+.highlight .mo { color: #666666 } /* Literal.Number.Oct */
+.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
+.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
+.highlight .sc { color: #BA2121 } /* Literal.String.Char */
+.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
+.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
+.highlight .se { color: #AA5D1F; font-weight: bold } /* Literal.String.Escape */
+.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
+.highlight .si { color: #A45A77; font-weight: bold } /* Literal.String.Interpol */
+.highlight .sx { color: #008000 } /* Literal.String.Other */
+.highlight .sr { color: #A45A77 } /* Literal.String.Regex */
+.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
+.highlight .ss { color: #19177C } /* Literal.String.Symbol */
+.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #0000FF } /* Name.Function.Magic */
+.highlight .vc { color: #19177C } /* Name.Variable.Class */
+.highlight .vg { color: #19177C } /* Name.Variable.Global */
+.highlight .vi { color: #19177C } /* Name.Variable.Instance */
+.highlight .vm { color: #19177C } /* Name.Variable.Magic */
+.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/pygments_dark.css b/docs/0.10.3/html/_static/pygments_dark.css
new file mode 100644
index 000000000..3b51a7389
--- /dev/null
+++ b/docs/0.10.3/html/_static/pygments_dark.css
@@ -0,0 +1,85 @@
+pre { line-height: 125%; }
+td.linenos .normal { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #404040 }
+.highlight { background: #202020; color: #d0d0d0 }
+.highlight .c { color: #ababab; font-style: italic } /* Comment */
+.highlight .err { color: #a61717; background-color: #e3d2d2 } /* Error */
+.highlight .esc { color: #d0d0d0 } /* Escape */
+.highlight .g { color: #d0d0d0 } /* Generic */
+.highlight .k { color: #6ebf26; font-weight: bold } /* Keyword */
+.highlight .l { color: #d0d0d0 } /* Literal */
+.highlight .n { color: #d0d0d0 } /* Name */
+.highlight .o { color: #d0d0d0 } /* Operator */
+.highlight .x { color: #d0d0d0 } /* Other */
+.highlight .p { color: #d0d0d0 } /* Punctuation */
+.highlight .ch { color: #ababab; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #ababab; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #ff3a3a; font-weight: bold } /* Comment.Preproc */
+.highlight .cpf { color: #ababab; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #ababab; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #e50808; font-weight: bold; background-color: #520000 } /* Comment.Special */
+.highlight .gd { color: #d22323 } /* Generic.Deleted */
+.highlight .ge { color: #d0d0d0; font-style: italic } /* Generic.Emph */
+.highlight .ges { color: #d0d0d0; font-weight: bold; font-style: italic } /* Generic.EmphStrong */
+.highlight .gr { color: #d22323 } /* Generic.Error */
+.highlight .gh { color: #ffffff; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #589819 } /* Generic.Inserted */
+.highlight .go { color: #cccccc } /* Generic.Output */
+.highlight .gp { color: #aaaaaa } /* Generic.Prompt */
+.highlight .gs { color: #d0d0d0; font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #ffffff; text-decoration: underline } /* Generic.Subheading */
+.highlight .gt { color: #d22323 } /* Generic.Traceback */
+.highlight .kc { color: #6ebf26; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #6ebf26; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #6ebf26; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #6ebf26 } /* Keyword.Pseudo */
+.highlight .kr { color: #6ebf26; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #6ebf26; font-weight: bold } /* Keyword.Type */
+.highlight .ld { color: #d0d0d0 } /* Literal.Date */
+.highlight .m { color: #51b2fd } /* Literal.Number */
+.highlight .s { color: #ed9d13 } /* Literal.String */
+.highlight .na { color: #bbbbbb } /* Name.Attribute */
+.highlight .nb { color: #2fbccd } /* Name.Builtin */
+.highlight .nc { color: #71adff; text-decoration: underline } /* Name.Class */
+.highlight .no { color: #40ffff } /* Name.Constant */
+.highlight .nd { color: #ffa500 } /* Name.Decorator */
+.highlight .ni { color: #d0d0d0 } /* Name.Entity */
+.highlight .ne { color: #bbbbbb } /* Name.Exception */
+.highlight .nf { color: #71adff } /* Name.Function */
+.highlight .nl { color: #d0d0d0 } /* Name.Label */
+.highlight .nn { color: #71adff; text-decoration: underline } /* Name.Namespace */
+.highlight .nx { color: #d0d0d0 } /* Name.Other */
+.highlight .py { color: #d0d0d0 } /* Name.Property */
+.highlight .nt { color: #6ebf26; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #40ffff } /* Name.Variable */
+.highlight .ow { color: #6ebf26; font-weight: bold } /* Operator.Word */
+.highlight .pm { color: #d0d0d0 } /* Punctuation.Marker */
+.highlight .w { color: #666666 } /* Text.Whitespace */
+.highlight .mb { color: #51b2fd } /* Literal.Number.Bin */
+.highlight .mf { color: #51b2fd } /* Literal.Number.Float */
+.highlight .mh { color: #51b2fd } /* Literal.Number.Hex */
+.highlight .mi { color: #51b2fd } /* Literal.Number.Integer */
+.highlight .mo { color: #51b2fd } /* Literal.Number.Oct */
+.highlight .sa { color: #ed9d13 } /* Literal.String.Affix */
+.highlight .sb { color: #ed9d13 } /* Literal.String.Backtick */
+.highlight .sc { color: #ed9d13 } /* Literal.String.Char */
+.highlight .dl { color: #ed9d13 } /* Literal.String.Delimiter */
+.highlight .sd { color: #ed9d13 } /* Literal.String.Doc */
+.highlight .s2 { color: #ed9d13 } /* Literal.String.Double */
+.highlight .se { color: #ed9d13 } /* Literal.String.Escape */
+.highlight .sh { color: #ed9d13 } /* Literal.String.Heredoc */
+.highlight .si { color: #ed9d13 } /* Literal.String.Interpol */
+.highlight .sx { color: #ffa500 } /* Literal.String.Other */
+.highlight .sr { color: #ed9d13 } /* Literal.String.Regex */
+.highlight .s1 { color: #ed9d13 } /* Literal.String.Single */
+.highlight .ss { color: #ed9d13 } /* Literal.String.Symbol */
+.highlight .bp { color: #2fbccd } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #71adff } /* Name.Function.Magic */
+.highlight .vc { color: #40ffff } /* Name.Variable.Class */
+.highlight .vg { color: #40ffff } /* Name.Variable.Global */
+.highlight .vi { color: #40ffff } /* Name.Variable.Instance */
+.highlight .vm { color: #40ffff } /* Name.Variable.Magic */
+.highlight .il { color: #51b2fd } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/scripts/main.js b/docs/0.10.3/html/_static/scripts/main.js
new file mode 100644
index 000000000..79383cce8
--- /dev/null
+++ b/docs/0.10.3/html/_static/scripts/main.js
@@ -0,0 +1,2 @@
+!function(e,t){"function"==typeof define&&define.amd?define([],function(){return t(e)}):"object"==typeof exports?module.exports=t(e):e.Gumshoe=t(e)}("undefined"!=typeof global?global:"undefined"!=typeof window?window:this,function(u){"use strict";function d(e,t,n){n.settings.events&&(n=new CustomEvent(e,{bubbles:!0,cancelable:!0,detail:n}),t.dispatchEvent(n))}function n(e){var t=0;if(e.offsetParent)for(;e;)t+=e.offsetTop,e=e.offsetParent;return 0<=t?t:0}function f(e){e&&e.sort(function(e,t){return n(e.content)<n(t.content)?-1:1})}function l(e,t,n){return e=e.getBoundingClientRect(),t="function"==typeof(t=t).offset?parseFloat(t.offset()):parseFloat(t.offset),n?parseInt(e.bottom,10)<(u.innerHeight||document.documentElement.clientHeight):parseInt(e.top,10)<=t}function s(){return Math.ceil(u.innerHeight+u.pageYOffset)>=Math.max(document.body.scrollHeight,document.documentElement.scrollHeight,document.body.offsetHeight,document.documentElement.offsetHeight,document.body.clientHeight,document.documentElement.clientHeight)}function m(e,t){var n,o,r=e[e.length-1];if(n=r,o=t,!(!s()||!l(n.content,o,!0)))return r;for(var c=e.length-1;0<=c;c--)if(l(e[c].content,t))return e[c]}function v(e,t){var n;!e||(n=e.nav.closest("li"))&&(n.classList.remove(t.navClass),e.content.classList.remove(t.contentClass),o(n,t),d("gumshoeDeactivate",n,{link:e.nav,content:e.content,settings:t}))}var h={navClass:"active",contentClass:"active",nested:!1,nestedClass:"active",offset:0,reflow:!1,events:!0},o=function(e,t){t.nested&&e.parentNode&&((e=e.parentNode.closest("li"))&&(e.classList.remove(t.nestedClass),o(e,t)))},p=function(e,t){!t.nested||(e=e.parentNode.closest("li"))&&(e.classList.add(t.nestedClass),p(e,t))};return function(e,t){var n,r,c,o,l,s={setup:function(){n=document.querySelectorAll(e),r=[],Array.prototype.forEach.call(n,function(e){var t=document.getElementById(decodeURIComponent(e.hash.substr(1)));t&&r.push({nav:e,content:t})}),f(r)}};s.detect=function(){var e,t,n,o=m(r,l);o?c&&o.content===c.content||(v(c,l),t=l,!(e=o)||(n=e.nav.closest("li"))&&(n.classList.add(t.navClass),e.content.classList.add(t.contentClass),p(n,t),d("gumshoeActivate",n,{link:e.nav,content:e.content,settings:t})),c=o):c&&(v(c,l),c=null)};function i(e){o&&u.cancelAnimationFrame(o),o=u.requestAnimationFrame(s.detect)}function a(e){o&&u.cancelAnimationFrame(o),o=u.requestAnimationFrame(function(){f(r),s.detect()})}s.destroy=function(){c&&v(c,l),u.removeEventListener("scroll",i,!1),l.reflow&&u.removeEventListener("resize",a,!1),l=o=c=n=r=null};return l=function(){var n={};return Array.prototype.forEach.call(arguments,function(e){for(var t in e){if(!e.hasOwnProperty(t))return;n[t]=e[t]}}),n}(h,t||{}),s.setup(),s.detect(),u.addEventListener("scroll",i,!1),l.reflow&&u.addEventListener("resize",a,!1),s}});var tocScroll=null,header=null;function scrollHandlerForHeader(){0==Math.floor(header.getBoundingClientRect().top)?header.classList.add("scrolled"):header.classList.remove("scrolled")}function scrollHandlerForTOC(e){null!==tocScroll&&(0==e?tocScroll.scrollTo(0,0):Math.ceil(e)>=Math.floor(document.documentElement.scrollHeight-window.innerHeight)?tocScroll.scrollTo(0,tocScroll.scrollHeight):document.querySelector(".scroll-current"))}function scrollHandler(e){scrollHandlerForHeader(),scrollHandlerForTOC(e)}function setupScrollHandler(){var t,n=!1;window.addEventListener("scroll",function(e){t=window.scrollY,n||(window.requestAnimationFrame(function(){scrollHandler(t),n=!1}),n=!0)}),window.scroll()}function setupScrollSpy(){null!==tocScroll&&new Gumshoe(".toc-tree a",{reflow:!0,recursive:!0,navClass:"scroll-current"})}function setup(){setupScrollHandler(),setupScrollSpy()}function main(){document.body.parentNode.classList.remove("no-js"),header=document.querySelector("header"),tocScroll=document.querySelector(".toc-scroll"),setup()}document.addEventListener("DOMContentLoaded",main);
+//# sourceMappingURL=main.js.map
diff --git a/docs/0.10.3/html/_static/scripts/main.js.map b/docs/0.10.3/html/_static/scripts/main.js.map
new file mode 100644
index 000000000..5d70f82fe
--- /dev/null
+++ b/docs/0.10.3/html/_static/scripts/main.js.map
@@ -0,0 +1 @@
+{"version":3,"sources":["gumshoe-5.1.2-patched.js","main.js"],"names":["root","factory","define","amd","exports","module","Gumshoe","global","window","this","emitEvent","type","elem","detail","settings","events","event","CustomEvent","bubbles","cancelable","dispatchEvent","getOffsetTop","location","offsetParent","offsetTop","sortContents","contents","sort","item1","item2","content","isInView","bottom","bounds","getBoundingClientRect","offset","parseFloat","parseInt","innerHeight","document","documentElement","clientHeight","top","isAtBottom","Math","ceil","pageYOffset","max","body","scrollHeight","offsetHeight","getActive","item","last","length","i","deactivate","items","li","nav","closest","classList","remove","navClass","contentClass","deactivateNested","link","defaults","nested","nestedClass","reflow","parentNode","activateNested","add","selector","options","navItems","current","timeout","publicAPIs","setup","querySelectorAll","Array","prototype","forEach","call","getElementById","decodeURIComponent","hash","substr","push","detect","active","scrollHandler","cancelAnimationFrame","requestAnimationFrame","resizeHandler","destroy","removeEventListener","merged","arguments","obj","key","hasOwnProperty","extend","addEventListener","tocScroll","header","scrollHandlerForHeader","floor","scrollHandlerForTOC","positionY","scrollTo","querySelector","setupScrollHandler","last_known_scroll_position","ticking","e","scrollY","scroll","setupScrollSpy","recursive","main"],"mappings":"CAQA,SAAAA,EAAAC,GACA,mBAAAC,QAAAA,OAAAC,IACAD,OAAA,GAAA,WACA,OAAAD,EAAAD,KAEA,iBAAAI,QACAC,OAAAD,QAAAH,EAAAD,GAEAA,EAAAM,QAAAL,EAAAD,GARA,CAWA,oBAAAO,OACAA,OACA,oBAAAC,OACAA,OACAC,KACA,SAAAD,gBAkDA,SAAAE,EAAAC,EAAAC,EAAAC,GAEAA,EAAAC,SAAAC,SAGAC,EAAA,IAAAC,YAAAN,EAAA,CACAO,SAAA,EACAC,YAAA,EACAN,OAAAA,IAIAD,EAAAQ,cAAAJ,IAQA,SAAAK,EAAAT,GACA,IAAAU,EAAA,EACA,GAAAV,EAAAW,aACA,KAAAX,GACAU,GAAAV,EAAAY,UACAZ,EAAAA,EAAAW,aAGA,OAAA,GAAAD,EAAAA,EAAA,EAOA,SAAAG,EAAAC,GACAA,GACAA,EAAAC,KAAA,SAAAC,EAAAC,GAGA,OAFAR,EAAAO,EAAAE,SACAT,EAAAQ,EAAAC,UACA,EACA,IA2CA,SAAAC,EAAAnB,EAAAE,EAAAkB,GAGA,OAFAC,EAAArB,EAAAsB,wBACAC,EAjCA,mBAFArB,EAmCAA,GAjCAqB,OACAC,WAAAtB,EAAAqB,UAIAC,WAAAtB,EAAAqB,QA6BAH,EAEAK,SAAAJ,EAAAD,OAAA,KACAxB,EAAA8B,aAAAC,SAAAC,gBAAAC,cAGAJ,SAAAJ,EAAAS,IAAA,KAAAP,EAOA,SAAAQ,IACA,OACAC,KAAAC,KAAArC,EAAA8B,YAAA9B,EAAAsC,cAnCAF,KAAAG,IACAR,SAAAS,KAAAC,aACAV,SAAAC,gBAAAS,aACAV,SAAAS,KAAAE,aACAX,SAAAC,gBAAAU,aACAX,SAAAS,KAAAP,aACAF,SAAAC,gBAAAC,cAqDA,SAAAU,EAAAzB,EAAAZ,GACA,IAZAsC,EAAAtC,EAYAuC,EAAA3B,EAAAA,EAAA4B,OAAA,GACA,GAbAF,EAaAC,EAbAvC,EAaAA,KAZA6B,MAAAZ,EAAAqB,EAAAtB,QAAAhB,GAAA,IAYA,OAAAuC,EACA,IAAA,IAAAE,EAAA7B,EAAA4B,OAAA,EAAA,GAAAC,EAAAA,IACA,GAAAxB,EAAAL,EAAA6B,GAAAzB,QAAAhB,GAAA,OAAAY,EAAA6B,GA6BA,SAAAC,EAAAC,EAAA3C,GAEA,IAGA4C,GAHAD,IAGAC,EAAAD,EAAAE,IAAAC,QAAA,SAIAF,EAAAG,UAAAC,OAAAhD,EAAAiD,UACAN,EAAA3B,QAAA+B,UAAAC,OAAAhD,EAAAkD,cAGAC,EAAAP,EAAA5C,GAGAJ,EAAA,oBAAAgD,EAAA,CACAQ,KAAAT,EAAAE,IACA7B,QAAA2B,EAAA3B,QACAhB,SAAAA,KA7NA,IAAAqD,EAAA,CAEAJ,SAAA,SACAC,aAAA,SAGAI,QAAA,EACAC,YAAA,SAGAlC,OAAA,EACAmC,QAAA,EAGAvD,QAAA,GAwKAkD,EAAA,SAAAN,EAAA7C,GAEAA,EAAAsD,QAAAT,EAAAY,cAGAb,EAAAC,EAAAY,WAAAX,QAAA,SAIAF,EAAAG,UAAAC,OAAAhD,EAAAuD,aAGAJ,EAAAP,EAAA5C,MAoCA0D,EAAA,SAAAb,EAAA7C,IAEAA,EAAAsD,SAGAV,EAAAC,EAAAY,WAAAX,QAAA,SAIAF,EAAAG,UAAAY,IAAA3D,EAAAuD,aAGAG,EAAAd,EAAA5C,KA8LA,OA1JA,SAAA4D,EAAAC,GAKA,IACAC,EAAAlD,EAAAmD,EAAAC,EAAAhE,EADAiE,EAAA,CAUAC,MAAA,WAEAJ,EAAArC,SAAA0C,iBAAAP,GAGAhD,EAAA,GAGAwD,MAAAC,UAAAC,QAAAC,KAAAT,EAAA,SAAAxB,GAEA,IAAAtB,EAAAS,SAAA+C,eACAC,mBAAAnC,EAAAoC,KAAAC,OAAA,KAEA3D,GAGAJ,EAAAgE,KAAA,CACA/B,IAAAP,EACAtB,QAAAA,MAKAL,EAAAC,KAMAqD,EAAAY,OAAA,WAEA,IA1EAlC,EAAA3C,EAKA4C,EAqEAkC,EAAAzC,EAAAzB,EAAAZ,GAGA8E,EASAf,GAAAe,EAAA9D,UAAA+C,EAAA/C,UAGA0B,EAAAqB,EAAA/D,GAzFAA,EA0FAA,IA1FA2C,EA0FAmC,KArFAlC,EAAAD,EAAAE,IAAAC,QAAA,SAIAF,EAAAG,UAAAY,IAAA3D,EAAAiD,UACAN,EAAA3B,QAAA+B,UAAAY,IAAA3D,EAAAkD,cAGAQ,EAAAd,EAAA5C,GAGAJ,EAAA,kBAAAgD,EAAA,CACAQ,KAAAT,EAAAE,IACA7B,QAAA2B,EAAA3B,QACAhB,SAAAA,KA0EA+D,EAAAe,GAfAf,IACArB,EAAAqB,EAAA/D,GACA+D,EAAA,OAoBA,SAAAgB,EAAA7E,GAEA8D,GACAtE,EAAAsF,qBAAAhB,GAIAA,EAAAtE,EAAAuF,sBAAAhB,EAAAY,QAOA,SAAAK,EAAAhF,GAEA8D,GACAtE,EAAAsF,qBAAAhB,GAIAA,EAAAtE,EAAAuF,sBAAA,WACAtE,EAAAC,GACAqD,EAAAY,WAOAZ,EAAAkB,QAAA,WAEApB,GACArB,EAAAqB,EAAA/D,GAIAN,EAAA0F,oBAAA,SAAAL,GAAA,GACA/E,EAAAwD,QACA9D,EAAA0F,oBAAA,SAAAF,GAAA,GAQAlF,EADAgE,EADAD,EADAD,EADAlD,EAAA,MAgCA,OApBAZ,EA3XA,WACA,IAAAqF,EAAA,GAOA,OANAjB,MAAAC,UAAAC,QAAAC,KAAAe,UAAA,SAAAC,GACA,IAAA,IAAAC,KAAAD,EAAA,CACA,IAAAA,EAAAE,eAAAD,GAAA,OACAH,EAAAG,GAAAD,EAAAC,MAGAH,EAmXAK,CAAArC,EAAAQ,GAAA,IAGAI,EAAAC,QAGAD,EAAAY,SAGAnF,EAAAiG,iBAAA,SAAAZ,GAAA,GACA/E,EAAAwD,QACA9D,EAAAiG,iBAAA,SAAAT,GAAA,GASAjB,KCrcA,IAAA2B,UAAA,KACAC,OAAA,KAEA,SAAAC,yBACA,GAAAhE,KAAAiE,MAAAF,OAAAzE,wBAAAQ,KACAiE,OAAA9C,UAAAY,IAAA,YAEAkC,OAAA9C,UAAAC,OAAA,YAIA,SAAAgD,oBAAAC,GACA,OAAAL,YAKA,GAAAK,EACAL,UAAAM,SAAA,EAAA,GAGApE,KAAAC,KAAAkE,IACAnE,KAAAiE,MAAAtE,SAAAC,gBAAAS,aAAAzC,OAAA8B,aAEAoE,UAAAM,SAAA,EAAAN,UAAAzD,cAGAV,SAAA0E,cAAA,oBAgBA,SAAApB,cAAAkB,GACAH,yBACAE,oBAAAC,GAMA,SAAAG,qBAEA,IAAAC,EACAC,GAAA,EAEA5G,OAAAiG,iBAAA,SAAA,SAAAY,GACAF,EAAA3G,OAAA8G,QAEAF,IACA5G,OAAAuF,sBAAA,WACAF,cAAAsB,GACAC,GAAA,IAGAA,GAAA,KAGA5G,OAAA+G,SAGA,SAAAC,iBACA,OAAAd,WAKA,IAAApG,QAAA,cAAA,CACAgE,QAAA,EACAmD,WAAA,EACA1D,SAAA,mBAIA,SAAAiB,QACAkC,qBACAM,iBAGA,SAAAE,OACAnF,SAAAS,KAAAuB,WAAAV,UAAAC,OAAA,SAEA6C,OAAApE,SAAA0E,cAAA,UACAP,UAAAnE,SAAA0E,cAAA,eAEAjC,QAGAzC,SAAAkE,iBAAA,mBAAAiB","file":"main.js","sourcesContent":["/*!\n * gumshoejs v5.1.2 (patched by @pradyunsg)\n * A simple, framework-agnostic scrollspy script.\n * (c) 2019 Chris Ferdinandi\n * MIT License\n * http://github.com/cferdinandi/gumshoe\n */\n\n(function (root, factory) {\n  if (typeof define === \"function\" && define.amd) {\n    define([], function () {\n      return factory(root);\n    });\n  } else if (typeof exports === \"object\") {\n    module.exports = factory(root);\n  } else {\n    root.Gumshoe = factory(root);\n  }\n})(\n  typeof global !== \"undefined\"\n    ? global\n    : typeof window !== \"undefined\"\n    ? window\n    : this,\n  function (window) {\n    \"use strict\";\n\n    //\n    // Defaults\n    //\n\n    var defaults = {\n      // Active classes\n      navClass: \"active\",\n      contentClass: \"active\",\n\n      // Nested navigation\n      nested: false,\n      nestedClass: \"active\",\n\n      // Offset & reflow\n      offset: 0,\n      reflow: false,\n\n      // Event support\n      events: true,\n    };\n\n    //\n    // Methods\n    //\n\n    /**\n     * Merge two or more objects together.\n     * @param   {Object}   objects  The objects to merge together\n     * @returns {Object}            Merged values of defaults and options\n     */\n    var extend = function () {\n      var merged = {};\n      Array.prototype.forEach.call(arguments, function (obj) {\n        for (var key in obj) {\n          if (!obj.hasOwnProperty(key)) return;\n          merged[key] = obj[key];\n        }\n      });\n      return merged;\n    };\n\n    /**\n     * Emit a custom event\n     * @param  {String} type   The event type\n     * @param  {Node}   elem   The element to attach the event to\n     * @param  {Object} detail Any details to pass along with the event\n     */\n    var emitEvent = function (type, elem, detail) {\n      // Make sure events are enabled\n      if (!detail.settings.events) return;\n\n      // Create a new event\n      var event = new CustomEvent(type, {\n        bubbles: true,\n        cancelable: true,\n        detail: detail,\n      });\n\n      // Dispatch the event\n      elem.dispatchEvent(event);\n    };\n\n    /**\n     * Get an element's distance from the top of the Document.\n     * @param  {Node} elem The element\n     * @return {Number}    Distance from the top in pixels\n     */\n    var getOffsetTop = function (elem) {\n      var location = 0;\n      if (elem.offsetParent) {\n        while (elem) {\n          location += elem.offsetTop;\n          elem = elem.offsetParent;\n        }\n      }\n      return location >= 0 ? location : 0;\n    };\n\n    /**\n     * Sort content from first to last in the DOM\n     * @param  {Array} contents The content areas\n     */\n    var sortContents = function (contents) {\n      if (contents) {\n        contents.sort(function (item1, item2) {\n          var offset1 = getOffsetTop(item1.content);\n          var offset2 = getOffsetTop(item2.content);\n          if (offset1 < offset2) return -1;\n          return 1;\n        });\n      }\n    };\n\n    /**\n     * Get the offset to use for calculating position\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Float}           The number of pixels to offset the calculations\n     */\n    var getOffset = function (settings) {\n      // if the offset is a function run it\n      if (typeof settings.offset === \"function\") {\n        return parseFloat(settings.offset());\n      }\n\n      // Otherwise, return it as-is\n      return parseFloat(settings.offset);\n    };\n\n    /**\n     * Get the document element's height\n     * @private\n     * @returns {Number}\n     */\n    var getDocumentHeight = function () {\n      return Math.max(\n        document.body.scrollHeight,\n        document.documentElement.scrollHeight,\n        document.body.offsetHeight,\n        document.documentElement.offsetHeight,\n        document.body.clientHeight,\n        document.documentElement.clientHeight\n      );\n    };\n\n    /**\n     * Determine if an element is in view\n     * @param  {Node}    elem     The element\n     * @param  {Object}  settings The settings for this instantiation\n     * @param  {Boolean} bottom   If true, check if element is above bottom of viewport instead\n     * @return {Boolean}          Returns true if element is in the viewport\n     */\n    var isInView = function (elem, settings, bottom) {\n      var bounds = elem.getBoundingClientRect();\n      var offset = getOffset(settings);\n      if (bottom) {\n        return (\n          parseInt(bounds.bottom, 10) <\n          (window.innerHeight || document.documentElement.clientHeight)\n        );\n      }\n      return parseInt(bounds.top, 10) <= offset;\n    };\n\n    /**\n     * Check if at the bottom of the viewport\n     * @return {Boolean} If true, page is at the bottom of the viewport\n     */\n    var isAtBottom = function () {\n      if (\n        Math.ceil(window.innerHeight + window.pageYOffset) >=\n        getDocumentHeight()\n      )\n        return true;\n      return false;\n    };\n\n    /**\n     * Check if the last item should be used (even if not at the top of the page)\n     * @param  {Object} item     The last item\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Boolean}         If true, use the last item\n     */\n    var useLastItem = function (item, settings) {\n      if (isAtBottom() && isInView(item.content, settings, true)) return true;\n      return false;\n    };\n\n    /**\n     * Get the active content\n     * @param  {Array}  contents The content areas\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Object}          The content area and matching navigation link\n     */\n    var getActive = function (contents, settings) {\n      var last = contents[contents.length - 1];\n      if (useLastItem(last, settings)) return last;\n      for (var i = contents.length - 1; i >= 0; i--) {\n        if (isInView(contents[i].content, settings)) return contents[i];\n      }\n    };\n\n    /**\n     * Deactivate parent navs in a nested navigation\n     * @param  {Node}   nav      The starting navigation element\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var deactivateNested = function (nav, settings) {\n      // If nesting isn't activated, bail\n      if (!settings.nested || !nav.parentNode) return;\n\n      // Get the parent navigation\n      var li = nav.parentNode.closest(\"li\");\n      if (!li) return;\n\n      // Remove the active class\n      li.classList.remove(settings.nestedClass);\n\n      // Apply recursively to any parent navigation elements\n      deactivateNested(li, settings);\n    };\n\n    /**\n     * Deactivate a nav and content area\n     * @param  {Object} items    The nav item and content to deactivate\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var deactivate = function (items, settings) {\n      // Make sure there are items to deactivate\n      if (!items) return;\n\n      // Get the parent list item\n      var li = items.nav.closest(\"li\");\n      if (!li) return;\n\n      // Remove the active class from the nav and content\n      li.classList.remove(settings.navClass);\n      items.content.classList.remove(settings.contentClass);\n\n      // Deactivate any parent navs in a nested navigation\n      deactivateNested(li, settings);\n\n      // Emit a custom event\n      emitEvent(\"gumshoeDeactivate\", li, {\n        link: items.nav,\n        content: items.content,\n        settings: settings,\n      });\n    };\n\n    /**\n     * Activate parent navs in a nested navigation\n     * @param  {Node}   nav      The starting navigation element\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var activateNested = function (nav, settings) {\n      // If nesting isn't activated, bail\n      if (!settings.nested) return;\n\n      // Get the parent navigation\n      var li = nav.parentNode.closest(\"li\");\n      if (!li) return;\n\n      // Add the active class\n      li.classList.add(settings.nestedClass);\n\n      // Apply recursively to any parent navigation elements\n      activateNested(li, settings);\n    };\n\n    /**\n     * Activate a nav and content area\n     * @param  {Object} items    The nav item and content to activate\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var activate = function (items, settings) {\n      // Make sure there are items to activate\n      if (!items) return;\n\n      // Get the parent list item\n      var li = items.nav.closest(\"li\");\n      if (!li) return;\n\n      // Add the active class to the nav and content\n      li.classList.add(settings.navClass);\n      items.content.classList.add(settings.contentClass);\n\n      // Activate any parent navs in a nested navigation\n      activateNested(li, settings);\n\n      // Emit a custom event\n      emitEvent(\"gumshoeActivate\", li, {\n        link: items.nav,\n        content: items.content,\n        settings: settings,\n      });\n    };\n\n    /**\n     * Create the Constructor object\n     * @param {String} selector The selector to use for navigation items\n     * @param {Object} options  User options and settings\n     */\n    var Constructor = function (selector, options) {\n      //\n      // Variables\n      //\n\n      var publicAPIs = {};\n      var navItems, contents, current, timeout, settings;\n\n      //\n      // Methods\n      //\n\n      /**\n       * Set variables from DOM elements\n       */\n      publicAPIs.setup = function () {\n        // Get all nav items\n        navItems = document.querySelectorAll(selector);\n\n        // Create contents array\n        contents = [];\n\n        // Loop through each item, get it's matching content, and push to the array\n        Array.prototype.forEach.call(navItems, function (item) {\n          // Get the content for the nav item\n          var content = document.getElementById(\n            decodeURIComponent(item.hash.substr(1))\n          );\n          if (!content) return;\n\n          // Push to the contents array\n          contents.push({\n            nav: item,\n            content: content,\n          });\n        });\n\n        // Sort contents by the order they appear in the DOM\n        sortContents(contents);\n      };\n\n      /**\n       * Detect which content is currently active\n       */\n      publicAPIs.detect = function () {\n        // Get the active content\n        var active = getActive(contents, settings);\n\n        // if there's no active content, deactivate and bail\n        if (!active) {\n          if (current) {\n            deactivate(current, settings);\n            current = null;\n          }\n          return;\n        }\n\n        // If the active content is the one currently active, do nothing\n        if (current && active.content === current.content) return;\n\n        // Deactivate the current content and activate the new content\n        deactivate(current, settings);\n        activate(active, settings);\n\n        // Update the currently active content\n        current = active;\n      };\n\n      /**\n       * Detect the active content on scroll\n       * Debounced for performance\n       */\n      var scrollHandler = function (event) {\n        // If there's a timer, cancel it\n        if (timeout) {\n          window.cancelAnimationFrame(timeout);\n        }\n\n        // Setup debounce callback\n        timeout = window.requestAnimationFrame(publicAPIs.detect);\n      };\n\n      /**\n       * Update content sorting on resize\n       * Debounced for performance\n       */\n      var resizeHandler = function (event) {\n        // If there's a timer, cancel it\n        if (timeout) {\n          window.cancelAnimationFrame(timeout);\n        }\n\n        // Setup debounce callback\n        timeout = window.requestAnimationFrame(function () {\n          sortContents(contents);\n          publicAPIs.detect();\n        });\n      };\n\n      /**\n       * Destroy the current instantiation\n       */\n      publicAPIs.destroy = function () {\n        // Undo DOM changes\n        if (current) {\n          deactivate(current, settings);\n        }\n\n        // Remove event listeners\n        window.removeEventListener(\"scroll\", scrollHandler, false);\n        if (settings.reflow) {\n          window.removeEventListener(\"resize\", resizeHandler, false);\n        }\n\n        // Reset variables\n        contents = null;\n        navItems = null;\n        current = null;\n        timeout = null;\n        settings = null;\n      };\n\n      /**\n       * Initialize the current instantiation\n       */\n      var init = function () {\n        // Merge user options into defaults\n        settings = extend(defaults, options || {});\n\n        // Setup variables based on the current DOM\n        publicAPIs.setup();\n\n        // Find the currently active content\n        publicAPIs.detect();\n\n        // Setup event listeners\n        window.addEventListener(\"scroll\", scrollHandler, false);\n        if (settings.reflow) {\n          window.addEventListener(\"resize\", resizeHandler, false);\n        }\n      };\n\n      //\n      // Initialize and return the public APIs\n      //\n\n      init();\n      return publicAPIs;\n    };\n\n    //\n    // Return the Constructor\n    //\n\n    return Constructor;\n  }\n);\n","////////////////////////////////////////////////////////////////////////////////\n// Scroll Handling\n////////////////////////////////////////////////////////////////////////////////\nvar tocScroll = null;\nvar header = null;\n\nfunction scrollHandlerForHeader() {\n  if (Math.floor(header.getBoundingClientRect().top) == 0) {\n    header.classList.add(\"scrolled\");\n  } else {\n    header.classList.remove(\"scrolled\");\n  }\n}\n\nfunction scrollHandlerForTOC(positionY) {\n  if (tocScroll === null) {\n    return;\n  }\n\n  // top of page.\n  if (positionY == 0) {\n    tocScroll.scrollTo(0, 0);\n  } else if (\n    // bottom of page.\n    Math.ceil(positionY) >=\n    Math.floor(document.documentElement.scrollHeight - window.innerHeight)\n  ) {\n    tocScroll.scrollTo(0, tocScroll.scrollHeight);\n  } else {\n    // somewhere in the middle.\n    const current = document.querySelector(\".scroll-current\");\n    if (current == null) {\n      return;\n    }\n\n    // https://github.com/pypa/pip/issues/9159 This breaks scroll behaviours.\n    // // scroll the currently \"active\" heading in toc, into view.\n    // const rect = current.getBoundingClientRect();\n    // if (0 > rect.top) {\n    //   current.scrollIntoView(true); // the argument is \"alignTop\"\n    // } else if (rect.bottom > window.innerHeight) {\n    //   current.scrollIntoView(false);\n    // }\n  }\n}\n\nfunction scrollHandler(positionY) {\n  scrollHandlerForHeader();\n  scrollHandlerForTOC(positionY);\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// Setup\n////////////////////////////////////////////////////////////////////////////////\nfunction setupScrollHandler() {\n  // Taken from https://developer.mozilla.org/en-US/docs/Web/API/Document/scroll_event\n  var last_known_scroll_position = 0;\n  var ticking = false;\n\n  window.addEventListener(\"scroll\", function (e) {\n    last_known_scroll_position = window.scrollY;\n\n    if (!ticking) {\n      window.requestAnimationFrame(function () {\n        scrollHandler(last_known_scroll_position);\n        ticking = false;\n      });\n\n      ticking = true;\n    }\n  });\n  window.scroll();\n}\n\nfunction setupScrollSpy() {\n  if (tocScroll === null) {\n    return;\n  }\n\n  // Scrollspy -- highlight table on contents, based on scroll\n  var spy = new Gumshoe(\".toc-tree a\", {\n    reflow: true,\n    recursive: true,\n    navClass: \"scroll-current\",\n  });\n}\n\nfunction setup() {\n  setupScrollHandler();\n  setupScrollSpy();\n}\n\nfunction main() {\n  document.body.parentNode.classList.remove(\"no-js\");\n\n  header = document.querySelector(\"header\");\n  tocScroll = document.querySelector(\".toc-scroll\");\n\n  setup();\n}\n\ndocument.addEventListener(\"DOMContentLoaded\", main);\n"]}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/searchtools.js b/docs/0.10.3/html/_static/searchtools.js
new file mode 100644
index 000000000..e09f9263f
--- /dev/null
+++ b/docs/0.10.3/html/_static/searchtools.js
@@ -0,0 +1,522 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+if (!Scorer) {
+  /**
+   * Simple result scoring code.
+   */
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [filename, title, anchor, descr, score]
+    // and returns the new score.
+    /*
+    score: function(result) {
+      return result[4];
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {0:  15,   // used to be importantResults
+              1:  5,   // used to be objectResults
+              2: -5},  // used to be unimportantResults
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2
+  };
+}
+
+if (!splitQuery) {
+  function splitQuery(query) {
+    return query.split(/\s+/);
+  }
+}
+
+/**
+ * Search Module
+ */
+var Search = {
+
+  _index : null,
+  _queued_query : null,
+  _pulse_status : -1,
+
+  htmlToText : function(htmlString) {
+      var virtualDocument = document.implementation.createHTMLDocument('virtual');
+      var htmlElement = $(htmlString, virtualDocument);
+      htmlElement.find('.headerlink').remove();
+      docContent = htmlElement.find('[role=main]')[0];
+      if(docContent === undefined) {
+          console.warn("Content block not found. Sphinx search tries to obtain it " +
+                       "via '[role=main]'. Could you check your theme or template.");
+          return "";
+      }
+      return docContent.textContent || docContent.innerText;
+  },
+
+  init : function() {
+      var params = $.getQueryParameters();
+      if (params.q) {
+          var query = params.q[0];
+          $('input[name="q"]')[0].value = query;
+          this.performSearch(query);
+      }
+  },
+
+  loadIndex : function(url) {
+    $.ajax({type: "GET", url: url, data: null,
+            dataType: "script", cache: true,
+            complete: function(jqxhr, textstatus) {
+              if (textstatus != "success") {
+                document.getElementById("searchindexloader").src = url;
+              }
+            }});
+  },
+
+  setIndex : function(index) {
+    var q;
+    this._index = index;
+    if ((q = this._queued_query) !== null) {
+      this._queued_query = null;
+      Search.query(q);
+    }
+  },
+
+  hasIndex : function() {
+      return this._index !== null;
+  },
+
+  deferQuery : function(query) {
+      this._queued_query = query;
+  },
+
+  stopPulse : function() {
+      this._pulse_status = 0;
+  },
+
+  startPulse : function() {
+    if (this._pulse_status >= 0)
+        return;
+    function pulse() {
+      var i;
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      var dotString = '';
+      for (i = 0; i < Search._pulse_status; i++)
+        dotString += '.';
+      Search.dots.text(dotString);
+      if (Search._pulse_status > -1)
+        window.setTimeout(pulse, 500);
+    }
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch : function(query) {
+    // create the required interface elements
+    this.out = $('#search-results');
+    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
+    this.dots = $('<span></span>').appendTo(this.title);
+    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
+    this.output = $('<ul class="search"/>').appendTo(this.out);
+
+    $('#search-progress').text(_('Preparing search...'));
+    this.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (this.hasIndex())
+      this.query(query);
+    else
+      this.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query : function(query) {
+    var i;
+
+    // stem the searchterms and add them to the correct list
+    var stemmer = new Stemmer();
+    var searchterms = [];
+    var excluded = [];
+    var hlterms = [];
+    var tmp = splitQuery(query);
+    var objectterms = [];
+    for (i = 0; i < tmp.length; i++) {
+      if (tmp[i] !== "") {
+          objectterms.push(tmp[i].toLowerCase());
+      }
+
+      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
+        // skip this "word"
+        continue;
+      }
+      // stem the word
+      var word = stemmer.stemWord(tmp[i].toLowerCase());
+      // prevent stemmer from cutting word smaller than two chars
+      if(word.length < 3 && tmp[i].length >= 3) {
+        word = tmp[i];
+      }
+      var toAppend;
+      // select the correct list
+      if (word[0] == '-') {
+        toAppend = excluded;
+        word = word.substr(1);
+      }
+      else {
+        toAppend = searchterms;
+        hlterms.push(tmp[i].toLowerCase());
+      }
+      // only add if not already in the list
+      if (!$u.contains(toAppend, word))
+        toAppend.push(word);
+    }
+    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
+
+    // console.debug('SEARCH: searching for:');
+    // console.info('required: ', searchterms);
+    // console.info('excluded: ', excluded);
+
+    // prepare search
+    var terms = this._index.terms;
+    var titleterms = this._index.titleterms;
+
+    // array of [filename, title, anchor, descr, score]
+    var results = [];
+    $('#search-progress').empty();
+
+    // lookup as object
+    for (i = 0; i < objectterms.length; i++) {
+      var others = [].concat(objectterms.slice(0, i),
+                             objectterms.slice(i+1, objectterms.length));
+      results = results.concat(this.performObjectSearch(objectterms[i], others));
+    }
+
+    // lookup as search terms in fulltext
+    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) {
+      for (i = 0; i < results.length; i++)
+        results[i][4] = Scorer.score(results[i]);
+    }
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort(function(a, b) {
+      var left = a[4];
+      var right = b[4];
+      if (left > right) {
+        return 1;
+      } else if (left < right) {
+        return -1;
+      } else {
+        // same score: sort alphabetically
+        left = a[1].toLowerCase();
+        right = b[1].toLowerCase();
+        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+      }
+    });
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    //console.info('search results:', Search.lastresults);
+
+    // print the results
+    var resultCount = results.length;
+    function displayNextItem() {
+      // results left, load the summary and display it
+      if (results.length) {
+        var item = results.pop();
+        var listItem = $('<li></li>');
+        var requestUrl = "";
+        var linkUrl = "";
+        if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
+          // dirhtml builder
+          var dirname = item[0] + '/';
+          if (dirname.match(/\/index\/$/)) {
+            dirname = dirname.substring(0, dirname.length-6);
+          } else if (dirname == 'index/') {
+            dirname = '';
+          }
+          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
+          linkUrl = requestUrl;
+
+        } else {
+          // normal html builders
+          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+          linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+        }
+        listItem.append($('<a/>').attr('href',
+            linkUrl +
+            highlightstring + item[2]).html(item[1]));
+        if (item[3]) {
+          listItem.append($('<span> (' + item[3] + ')</span>'));
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
+        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+          $.ajax({url: requestUrl,
+                  dataType: "text",
+                  complete: function(jqxhr, textstatus) {
+                    var data = jqxhr.responseText;
+                    if (data !== '' && data !== undefined) {
+                      listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
+                    }
+                    Search.output.append(listItem);
+                    setTimeout(function() {
+                      displayNextItem();
+                    }, 5);
+                  }});
+        } else {
+          // no source available, just display title
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
+        }
+      }
+      // search finished, update title and status message
+      else {
+        Search.stopPulse();
+        Search.title.text(_('Search Results'));
+        if (!resultCount)
+          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
+        else
+            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
+        Search.status.fadeIn(500);
+      }
+    }
+    displayNextItem();
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch : function(object, otherterms) {
+    var filenames = this._index.filenames;
+    var docnames = this._index.docnames;
+    var objects = this._index.objects;
+    var objnames = this._index.objnames;
+    var titles = this._index.titles;
+
+    var i;
+    var results = [];
+
+    for (var prefix in objects) {
+      for (var name in objects[prefix]) {
+        var fullname = (prefix ? prefix + '.' : '') + name;
+        var fullnameLower = fullname.toLowerCase()
+        if (fullnameLower.indexOf(object) > -1) {
+          var score = 0;
+          var parts = fullnameLower.split('.');
+          // check for different match types: exact matches of full name or
+          // "last name" (i.e. last dotted part)
+          if (fullnameLower == object || parts[parts.length - 1] == object) {
+            score += Scorer.objNameMatch;
+          // matches in last name
+          } else if (parts[parts.length - 1].indexOf(object) > -1) {
+            score += Scorer.objPartialMatch;
+          }
+          var match = objects[prefix][name];
+          var objname = objnames[match[1]][2];
+          var title = titles[match[0]];
+          // If more than one term searched for, we require other words to be
+          // found in the name/title/description
+          if (otherterms.length > 0) {
+            var haystack = (prefix + ' ' + name + ' ' +
+                            objname + ' ' + title).toLowerCase();
+            var allfound = true;
+            for (i = 0; i < otherterms.length; i++) {
+              if (haystack.indexOf(otherterms[i]) == -1) {
+                allfound = false;
+                break;
+              }
+            }
+            if (!allfound) {
+              continue;
+            }
+          }
+          var descr = objname + _(', in ') + title;
+
+          var anchor = match[3];
+          if (anchor === '')
+            anchor = fullname;
+          else if (anchor == '-')
+            anchor = objnames[match[1]][1] + '-' + fullname;
+          // add custom score for some objects according to scorer
+          if (Scorer.objPrio.hasOwnProperty(match[2])) {
+            score += Scorer.objPrio[match[2]];
+          } else {
+            score += Scorer.objPrioDefault;
+          }
+          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
+        }
+      }
+    }
+
+    return results;
+  },
+
+  /**
+   * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions
+   */
+  escapeRegExp : function(string) {
+    return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
+    var docnames = this._index.docnames;
+    var filenames = this._index.filenames;
+    var titles = this._index.titles;
+
+    var i, j, file;
+    var fileMap = {};
+    var scoreMap = {};
+    var results = [];
+
+    // perform the search on the required terms
+    for (i = 0; i < searchterms.length; i++) {
+      var word = searchterms[i];
+      var files = [];
+      var _o = [
+        {files: terms[word], score: Scorer.term},
+        {files: titleterms[word], score: Scorer.title}
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        var word_regex = this.escapeRegExp(word);
+        for (var w in terms) {
+          if (w.match(word_regex) && !terms[word]) {
+            _o.push({files: terms[w], score: Scorer.partialTerm})
+          }
+        }
+        for (var w in titleterms) {
+          if (w.match(word_regex) && !titleterms[word]) {
+              _o.push({files: titleterms[w], score: Scorer.partialTitle})
+          }
+        }
+      }
+
+      // no match but word was a required one
+      if ($u.every(_o, function(o){return o.files === undefined;})) {
+        break;
+      }
+      // found search word in contents
+      $u.each(_o, function(o) {
+        var _files = o.files;
+        if (_files === undefined)
+          return
+
+        if (_files.length === undefined)
+          _files = [_files];
+        files = files.concat(_files);
+
+        // set score for the word in each file to Scorer.term
+        for (j = 0; j < _files.length; j++) {
+          file = _files[j];
+          if (!(file in scoreMap))
+            scoreMap[file] = {};
+          scoreMap[file][word] = o.score;
+        }
+      });
+
+      // create the mapping
+      for (j = 0; j < files.length; j++) {
+        file = files[j];
+        if (file in fileMap && fileMap[file].indexOf(word) === -1)
+          fileMap[file].push(word);
+        else
+          fileMap[file] = [word];
+      }
+    }
+
+    // now check if the files don't contain excluded terms
+    for (file in fileMap) {
+      var valid = true;
+
+      // check if all requirements are matched
+      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
+        searchterms.filter(function(term){return term.length > 2}).length
+      if (
+        fileMap[file].length != searchterms.length &&
+        fileMap[file].length != filteredTermCount
+      ) continue;
+
+      // ensure that none of the excluded terms is in the search result
+      for (i = 0; i < excluded.length; i++) {
+        if (terms[excluded[i]] == file ||
+            titleterms[excluded[i]] == file ||
+            $u.contains(terms[excluded[i]] || [], file) ||
+            $u.contains(titleterms[excluded[i]] || [], file)) {
+          valid = false;
+          break;
+        }
+      }
+
+      // if we have still a valid result we can add it to the result list
+      if (valid) {
+        // select one (max) score for the file.
+        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
+        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
+        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
+      }
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words, hlwords is the list of normal, unstemmed
+   * words. the first one is used to find the occurrence, the
+   * latter for highlighting it.
+   */
+  makeSearchSummary : function(htmlText, keywords, hlwords) {
+    var text = Search.htmlToText(htmlText);
+    var textLower = text.toLowerCase();
+    var start = 0;
+    $.each(keywords, function() {
+      var i = textLower.indexOf(this.toLowerCase());
+      if (i > -1)
+        start = i;
+    });
+    start = Math.max(start - 120, 0);
+    var excerpt = ((start > 0) ? '...' : '') +
+      $.trim(text.substr(start, 240)) +
+      ((start + 240 - text.length) ? '...' : '');
+    var rv = $('<p class="context"></p>').text(excerpt);
+    $.each(hlwords, function() {
+      rv = rv.highlightText(this, 'highlighted');
+    });
+    return rv;
+  }
+};
+
+$(document).ready(function() {
+  Search.init();
+});
diff --git a/docs/0.10.3/html/_static/styles/furo-extensions.css b/docs/0.10.3/html/_static/styles/furo-extensions.css
new file mode 100644
index 000000000..2f540c861
--- /dev/null
+++ b/docs/0.10.3/html/_static/styles/furo-extensions.css
@@ -0,0 +1,2 @@
+#furo-sidebar-ad-placement{padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}#furo-sidebar-ad-placement .ethical-sidebar{border:none;box-shadow:none;background:var(--color-background-secondary)}#furo-sidebar-ad-placement .ethical-sidebar:hover{background:var(--color-background-hover)}#furo-sidebar-ad-placement .ethical-sidebar a{color:var(--color-foreground-primary)}#furo-sidebar-ad-placement .ethical-callout a{color:var(--color-foreground-secondary)!important}button.copybtn{width:1.25rem;height:1.25rem}:root{--tabs--label-text:var(--color-foreground-muted);--tabs--label-text--active:var(--color-brand-content);--tabs--label-text--hover:var(--color-brand-content);--tabs--label-background--active:transparent;--tabs--label-background--hover:var(--color-background-secondary);--tabs--border:var(--color-background-border)}[role=main] .container{max-width:none;padding-left:0;padding-right:0}.shadow.docutils{border:none;box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1)!important}.sphinx-bs .card{background-color:var(--color-background-secondary);color:var(--color-foreground)}
+/*# sourceMappingURL=furo-extensions.css.map */
diff --git a/docs/0.10.3/html/_static/styles/furo-extensions.css.map b/docs/0.10.3/html/_static/styles/furo-extensions.css.map
new file mode 100644
index 000000000..c25c69207
--- /dev/null
+++ b/docs/0.10.3/html/_static/styles/furo-extensions.css.map
@@ -0,0 +1 @@
+{"version":3,"sources":["extensions/_readthedocs.sass","furo-extensions.css","extensions/_copybutton.sass","extensions/_sphinx-inline-tabs.sass","extensions/_sphinx-panels.sass"],"names":[],"mappings":"AAGA,2BACE,mFCFF,CDGE,4CAEE,WAAA,CACA,eAAA,CAEA,4CCHJ,CDII,kDACE,wCCFN,CDII,8CACE,qCCFN,CDGE,8CACI,iDCDN,CChBA,eACE,aAAA,CACA,cDmBF,CEnBA,MACE,gDAAA,CACA,qDAAA,CACA,oDAAA,CACA,4CAAA,CACA,iEAAA,CACA,6CFsBF,CG1BA,uBACE,cAAA,CACA,cAAA,CACA,eH6BF,CG1BA,iBACE,WAAA,CACA,8EH6BF,CG1BA,iBACE,kDAAA,CACA,6BH6BF","file":"furo-extensions.css","sourcesContent":["// This file contains the styles used for tweaking how ReadTheDoc's embedded\n// contents would show up inside the theme.\n\n#furo-sidebar-ad-placement\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n  .ethical-sidebar\n    // Remove the border and box-shadow.\n    border: none\n    box-shadow: none\n    // Manage the background colors.\n    background: var(--color-background-secondary)\n    &:hover\n      background: var(--color-background-hover)\n    // Ensure the text is legible.\n    a\n      color: var(--color-foreground-primary)\n  .ethical-callout a\n      color: var(--color-foreground-secondary) !important\n","#furo-sidebar-ad-placement {\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n}\n#furo-sidebar-ad-placement .ethical-sidebar {\n  border: none;\n  box-shadow: none;\n  background: var(--color-background-secondary);\n}\n#furo-sidebar-ad-placement .ethical-sidebar:hover {\n  background: var(--color-background-hover);\n}\n#furo-sidebar-ad-placement .ethical-sidebar a {\n  color: var(--color-foreground-primary);\n}\n#furo-sidebar-ad-placement .ethical-callout a {\n  color: var(--color-foreground-secondary) !important;\n}\n\nbutton.copybtn {\n  width: 1.25rem;\n  height: 1.25rem;\n}\n\n:root {\n  --tabs--label-text: var(--color-foreground-muted);\n  --tabs--label-text--active: var(--color-brand-content);\n  --tabs--label-text--hover: var(--color-brand-content);\n  --tabs--label-background--active: transparent;\n  --tabs--label-background--hover: var(--color-background-secondary);\n  --tabs--border: var(--color-background-border);\n}\n\n[role=main] .container {\n  max-width: initial;\n  padding-left: initial;\n  padding-right: initial;\n}\n\n.shadow.docutils {\n  border: none;\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1) !important;\n}\n\n.sphinx-bs .card {\n  background-color: var(--color-background-secondary);\n  color: var(--color-foreground);\n}","button.copybtn\n  width: 1.25rem\n  height: 1.25rem\n","// This file contains styles to tweak sphinx-inline-tabs to work well with Furo.\n\n:root\n  --tabs--label-text: var(--color-foreground-muted)\n  --tabs--label-text--active: var(--color-brand-content)\n  --tabs--label-text--hover: var(--color-brand-content)\n  --tabs--label-background--active: transparent\n  --tabs--label-background--hover: var(--color-background-secondary)\n  --tabs--border: var(--color-background-border)\n","// This file contains styles to tweak sphinx-panels to work well with Furo.\n\n// sphinx-panels includes Bootstrap 4, which uses .container which can conflict\n// with docutils' `.. container::` directive.\n[role=\"main\"] .container\n  max-width: initial\n  padding-left: initial\n  padding-right: initial\n\n// Make the panels look nicer!\n.shadow.docutils\n  border: none\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1) !important\n\n// Make panel colors respond to dark mode\n.sphinx-bs .card\n  background-color: var(--color-background-secondary)\n  color: var(--color-foreground)\n"]}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/styles/furo.css b/docs/0.10.3/html/_static/styles/furo.css
new file mode 100644
index 000000000..ae9b2d601
--- /dev/null
+++ b/docs/0.10.3/html/_static/styles/furo.css
@@ -0,0 +1,2 @@
+/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */html{line-height:1.15;-webkit-text-size-adjust:100%}body{margin:0}main{display:block}h1{font-size:2em;margin:.67em 0}hr{box-sizing:content-box;height:0;overflow:visible}pre{font-family:monospace,monospace;font-size:1em}a{background-color:transparent}abbr[title]{border-bottom:none;text-decoration:underline;-webkit-text-decoration:underline dotted;text-decoration:underline dotted}b,strong{font-weight:bolder}code,kbd,samp{font-family:monospace,monospace;font-size:1em}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sub{bottom:-.25em}sup{top:-.5em}img{border-style:none}button,input,optgroup,select,textarea{font-family:inherit;font-size:100%;line-height:1.15;margin:0}button,input{overflow:visible}button,select{text-transform:none}[type=button],[type=reset],[type=submit],button{-webkit-appearance:button}[type=button]::-moz-focus-inner,[type=reset]::-moz-focus-inner,[type=submit]::-moz-focus-inner,button::-moz-focus-inner{border-style:none;padding:0}[type=button]:-moz-focusring,[type=reset]:-moz-focusring,[type=submit]:-moz-focusring,button:-moz-focusring{outline:1px dotted ButtonText}fieldset{padding:.35em .75em .625em}legend{box-sizing:border-box;color:inherit;display:table;max-width:100%;padding:0;white-space:normal}progress{vertical-align:baseline}textarea{overflow:auto}[type=checkbox],[type=radio]{box-sizing:border-box;padding:0}[type=number]::-webkit-inner-spin-button,[type=number]::-webkit-outer-spin-button{height:auto}[type=search]{-webkit-appearance:textfield;outline-offset:-2px}[type=search]::-webkit-search-decoration{-webkit-appearance:none}::-webkit-file-upload-button{-webkit-appearance:button;font:inherit}details{display:block}summary{display:list-item}[hidden],template{display:none}body{color:var(--color-foreground-primary);background:var(--color-background-primary)}.mobile-header .header-center a{color:var(--color-header-text);text-decoration:none}.announcement{background-color:var(--color-announcement-background);color:var(--color-announcement-text)}.sidebar-drawer{border-right:1px solid var(--color-sidebar-background-border);background:var(--color-sidebar-background)}.sidebar-brand{color:var(--color-sidebar-brand-text)}.sidebar-search-container{background:var(--color-sidebar-search-background)}.sidebar-search-container:focus-within,.sidebar-search-container:hover{background:var(--color-sidebar-search-background--focus)}.sidebar-search-container:before{background-color:var(--color-sidebar-search-icon);-webkit-mask-image:var(--icon-search);mask-image:var(--icon-search)}.sidebar-search{border:none;border-top:1px solid var(--color-sidebar-search-border);border-bottom:1px solid var(--color-sidebar-search-border)}.sidebar-tree .icon,.sidebar-tree .reference{color:var(--color-sidebar-link-text)}.sidebar-tree .reference{text-decoration:none}.sidebar-tree .reference:hover{background:var(--color-sidebar-item-background--hover)}.sidebar-tree .reference.external:after{color:var(--color-sidebar-link-text)}.sidebar-tree .caption,.sidebar-tree .caption-text{color:var(--color-sidebar-caption-text)}.sidebar-tree .toctree-l1>.reference,.sidebar-tree .toctree-l1>label .icon{color:var(--color-sidebar-link-text--top-level)}.sidebar-tree label{background:var(--color-sidebar-item-expander-background)}.sidebar-tree label:hover{background:var(--color-sidebar-item-expander-background--hover)}.sidebar-tree .current>.reference{background:var(--color-sidebar-item-background--current)}.sidebar-tree .current>.reference:hover{background:var(--color-sidebar-item-background--hover)}.toc-drawer{background:var(--color-toc-background)}.toc-title{color:var(--color-toc-title-text)}.toc-tree{border-left:1px solid var(--color-background-border)}.toc-tree .reference{text-decoration:none;color:var(--color-toc-item-text)}.toc-tree .scroll-current>.reference{color:var(--color-toc-item-text--active)}article{color:var(--color-content-foreground);background:var(--color-content-background)}a{text-decoration:underline;color:var(--color-link);-webkit-text-decoration-color:var(--color-link-underline);text-decoration-color:var(--color-link-underline)}a:hover{color:var(--color-link--hover);-webkit-text-decoration-color:var(--color-link-underline--hover);text-decoration-color:var(--color-link-underline--hover)}a.muted-link{text-decoration:none}a.muted-link:hover{text-decoration:underline;color:var(--color-link);-webkit-text-decoration-color:var(--color-link-underline);text-decoration-color:var(--color-link-underline)}.problematic{color:var(--color-problematic)}.only-light{display:block!important}.only-dark{display:none!important}@media (prefers-color-scheme:dark){.only-light{display:none!important}.only-dark{display:block!important}}html{font-family:var(--font-stack)}code,kbd,pre,samp{font-family:var(--font-stack--monospace)}body{-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}article{line-height:1.5}h1{font-size:2.25rem}h2{font-size:1.75rem}h3{font-size:1.25rem}h4{font-size:1rem}h5{font-size:.875rem}h6{font-size:.75rem}h1,h2{margin-bottom:1rem;font-weight:300}h1,h2,h3{margin-top:1.5rem}h3{margin-bottom:.75rem;font-weight:400}h4,h5,h6{text-transform:uppercase;margin-top:1rem;margin-bottom:.5rem;font-weight:700}p{margin-top:.75rem;margin-bottom:.75rem}hr.docutils{height:1px;padding:0;margin:2rem 0;background-color:var(--color-background-border);border:0}.centered{text-align:center}:root{--font-stack:-apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji;--font-stack--monospace:"SFMono-Regular",Menlo,Consolas,Monaco,Liberation Mono,Lucida Console,monospace;--font-size--normal:100%;--font-size--small:87.5%;--font-size--small--2:81.25%;--font-size--small--3:75%;--font-size--small--4:62.5%;--sidebar-caption-font-size:var(--font-size--small--2);--sidebar-item-font-size:var(--font-size--small);--sidebar-search-input-font-size:var(--font-size--small);--toc-font-size:var(--font-size--small--3);--toc-font-size--mobile:var(--font-size--normal);--toc-title-font-size:var(--font-size--small--4);--admonition-font-size:0.8125rem;--admonition-title-font-size:0.8125rem;--code-font-size:var(--font-size--small--2);--header-height:calc(var(--sidebar-item-line-height) + var(--sidebar-item-spacing-vertical)*4);--sidebar-tree-space-above:1.5rem;--sidebar-caption-space-above:1rem;--sidebar-item-line-height:1rem;--sidebar-item-spacing-vertical:0.5rem;--sidebar-item-spacing-horizontal:1rem;--sidebar-item-height:calc(var(--sidebar-item-line-height) + var(--sidebar-item-spacing-vertical)*2);--sidebar-expander-width:var(--sidebar-item-height);--sidebar-search-space-above:0.5rem;--sidebar-search-input-spacing-vertical:0.5rem;--sidebar-search-input-spacing-horizontal:0.5rem;--sidebar-search-input-height:1rem;--sidebar-search-icon-size:var(--sidebar-search-input-height);--toc-title-padding:0.25rem 0;--toc-spacing-vertical:1.5rem;--toc-spacing-horizontal:1.5rem;--toc-item-spacing-vertical:0.4rem;--toc-item-spacing-horizontal:1rem;--icon-search:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="1.5" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path d="M0 0h24v24H0z" stroke="none"/><circle cx="10" cy="10" r="7"/><path d="M21 21l-6-6"/></svg>');--icon-pencil:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z"/></svg>');--icon-abstract:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M4 5h16v2H4V5m0 4h16v2H4V9m0 4h16v2H4v-2m0 4h10v2H4v-2z"/></svg>');--icon-info:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 9h-2V7h2m0 10h-2v-6h2m-1-9A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10A10 10 0 0012 2z"/></svg>');--icon-flame:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M17.55 11.2c-.23-.3-.5-.56-.76-.82-.65-.6-1.4-1.03-2.03-1.66C13.3 7.26 13 4.85 13.91 3c-.91.23-1.75.75-2.45 1.32-2.54 2.08-3.54 5.75-2.34 8.9.04.1.08.2.08.33 0 .22-.15.42-.35.5-.22.1-.46.04-.64-.12a.83.83 0 01-.15-.17c-1.1-1.43-1.28-3.48-.53-5.12C5.89 10 5 12.3 5.14 14.47c.04.5.1 1 .27 1.5.14.6.4 1.2.72 1.73 1.04 1.73 2.87 2.97 4.84 3.22 2.1.27 4.35-.12 5.96-1.6 1.8-1.66 2.45-4.32 1.5-6.6l-.13-.26c-.2-.46-.47-.87-.8-1.25l.05-.01m-3.1 6.3c-.28.24-.73.5-1.08.6-1.1.4-2.2-.16-2.87-.82 1.19-.28 1.89-1.16 2.09-2.05.17-.8-.14-1.46-.27-2.23-.12-.74-.1-1.37.18-2.06.17.38.37.76.6 1.06.76 1 1.95 1.44 2.2 2.8.04.14.06.28.06.43.03.82-.32 1.72-.92 2.27h.01z"/></svg>');--icon-question:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M15.07 11.25l-.9.92C13.45 12.89 13 13.5 13 15h-2v-.5c0-1.11.45-2.11 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41a2 2 0 00-2-2 2 2 0 00-2 2H8a4 4 0 014-4 4 4 0 014 4 3.2 3.2 0 01-.93 2.25M13 19h-2v-2h2M12 2A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10c0-5.53-4.5-10-10-10z"/></svg>');--icon-warning:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 14h-2v-4h2m0 8h-2v-2h2M1 21h22L12 2 1 21z"/></svg>');--icon-failure:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 2c5.53 0 10 4.47 10 10s-4.47 10-10 10S2 17.53 2 12 6.47 2 12 2m3.59 5L12 10.59 8.41 7 7 8.41 10.59 12 7 15.59 8.41 17 12 13.41 15.59 17 17 15.59 13.41 12 17 8.41 15.59 7z"/></svg>');--icon-spark:url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M11.5 20l4.86-9.73H13V4l-5 9.73h3.5V20M12 2c2.75 0 5.1 1 7.05 2.95C21 6.9 22 9.25 22 12s-1 5.1-2.95 7.05C17.1 21 14.75 22 12 22s-5.1-1-7.05-2.95C3 17.1 2 14.75 2 12s1-5.1 2.95-7.05C6.9 3 9.25 2 12 2z"/></svg>');--icon-admonition-default:var(--icon-abstract);--color-problematic:#b30000;--color-foreground-primary:#000;--color-foreground-secondary:#5a5c63;--color-foreground-muted:#72747e;--color-foreground-border:#878787;--color-background-primary:#fff;--color-background-secondary:#f8f9fb;--color-background-hover:#efeff4;--color-background-hover--transparent:rgba(239,239,244,0);--color-background-border:#eeebee;--color-announcement-background:rgba(0,0,0,0.8666666666666667);--color-announcement-text:#eeebee;--color-brand-primary:#2962ff;--color-brand-content:#2a5adf;--color-api-overall:var(--color-foreground-muted);--color-api-name:var(--color-brand-content);--color-api-pre-name:var(--color-brand-content);--color-api-paren:var(--color-foreground-secondary);--color-api-keyword:var(--color-problematic);--color-api-highlight-on-target:#ffc;--color-inline-code-background:var(--color-background-secondary);--color-highlighted-background:#def;--color-highlighted-text:var(--color-foreground-primary);--color-guilabel-background:rgba(221,238,255,0.5019607843137255);--color-guilabel-border:rgba(190,218,245,0.5019607843137255);--color-guilabel-text:var(--color-foreground-primary);--color-admonition-background:transparent;--color-admonition-title:#651fff;--color-admonition-title-background:rgba(101,31,255,0.1);--color-admonition-title--caution:#ff9100;--color-admonition-title-background--caution:rgba(255,145,0,0.1);--color-admonition-title--warning:#ff9100;--color-admonition-title-background--warning:rgba(255,145,0,0.1);--color-admonition-title--danger:#ff5252;--color-admonition-title-background--danger:rgba(255,82,82,0.1);--color-admonition-title--attention:#ff5252;--color-admonition-title-background--attention:rgba(255,82,82,0.1);--color-admonition-title--error:#ff5252;--color-admonition-title-background--error:rgba(255,82,82,0.1);--color-admonition-title--hint:#00c852;--color-admonition-title-background--hint:rgba(0,200,82,0.1);--color-admonition-title--important:#00bfa5;--color-admonition-title-background--important:rgba(0,191,165,0.1);--color-admonition-title--note:#00b0ff;--color-admonition-title-background--note:rgba(0,176,255,0.1);--color-admonition-title--seealso:#448aff;--color-admonition-title-background--seealso:rgba(68,138,255,0.1);--color-admonition-title--tip:#00c852;--color-admonition-title-background--tip:rgba(0,200,82,0.1);--color-admonition-title--admonition-todo:grey;--color-admonition-title-background--admonition-todo:hsla(0,0%,50.2%,0.1);--color-header-background:var(--color-background-primary);--color-header-border:var(--color-background-border);--color-header-text:var(--color-foreground-primary);--color-sidebar-background:var(--color-background-secondary);--color-sidebar-background-border:var(--color-background-border);--color-sidebar-brand-text:var(--color-foreground-primary);--color-sidebar-caption-text:var(--color-foreground-muted);--color-sidebar-link-text:var(--color-foreground-secondary);--color-sidebar-link-text--top-level:var(--color-brand-primary);--color-sidebar-item-background:var(--color-sidebar-background);--color-sidebar-item-background--current:var(--color-sidebar-item-background);--color-sidebar-item-background--hover:linear-gradient(90deg,var(--color-background-hover--transparent),var(--color-background-hover) var(--sidebar-item-spacing-horizontal),var(--color-background-hover));--color-sidebar-item-expander-background:transparent;--color-sidebar-item-expander-background--hover:var(--color-background-hover);--color-sidebar-search-text:var(--color-foreground-primary);--color-sidebar-search-background:var(--color-background-secondary);--color-sidebar-search-background--focus:var(--color-background-primary);--color-sidebar-search-border:var(--color-background-border);--color-sidebar-search-icon:var(--color-foreground-muted);--color-toc-background:var(--color-background-primary);--color-toc-title-text:var(--color-foreground-muted);--color-toc-item-text:var(--color-foreground-secondary);--color-toc-item-text--hover:var(--color-foreground-primary);--color-toc-item-text--active:var(--color-brand-primary);--color-content-foreground:var(--color-foreground-primary);--color-content-background:transparent;--color-link:var(--color-brand-content);--color-link--hover:var(--color-brand-content);--color-link-underline:var(--color-background-border);--color-link-underline--hover:var(--color-foreground-border)}@media (prefers-color-scheme:dark){:root{--color-problematic:#e25050;--color-foreground-primary:hsla(0,0%,100%,0.8509803921568627);--color-foreground-secondary:#9ca0a5;--color-foreground-muted:#81868d;--color-foreground-border:#666;--color-background-primary:#131416;--color-background-secondary:#1a1c1e;--color-background-hover:#1e2124;--color-background-hover--transparent:rgba(30,33,36,0);--color-background-border:#303335;--color-announcement-background:rgba(0,0,0,0.8666666666666667);--color-announcement-text:#eeebee;--color-brand-primary:#2b8cee;--color-brand-content:#368ce2;--color-highlighted-background:#083563;--color-guilabel-background:rgba(8,53,99,0.5019607843137255);--color-guilabel-border:rgba(19,57,95,0.5019607843137255);--color-api-highlight-on-target:#330;--color-admonition-background:#18181a}}html{overflow-x:hidden;overflow-y:scroll}:not(html):not(body){scrollbar-width:thin;scrollbar-color:var(--color-foreground-border) transparent}:not(html):not(body)::-webkit-scrollbar{width:.25rem;height:.25rem}:not(html):not(body)::-webkit-scrollbar-thumb{background-color:var(--color-foreground-border);border-radius:.125rem}body,html{height:100%}.page{display:flex;min-height:100%}.mobile-header{width:100%;height:var(--header-height);background-color:var(--color-header-background);color:var(--color-header-text);border-bottom:1px solid var(--color-header-border);z-index:10;display:none}.mobile-header.scrolled{border-bottom:none;box-shadow:0 0 .2rem rgba(0,0,0,.1),0 .2rem .4rem rgba(0,0,0,.2)}.main{display:flex;flex:1}.sidebar-drawer{box-sizing:border-box;display:flex;justify-content:flex-end;width:calc(50% - 26em);min-width:15em}.sidebar-container,.toc-drawer{box-sizing:border-box;width:15em}.toc-drawer{padding-right:1rem}.sidebar-sticky,.toc-sticky{position:sticky;top:0;height:min(100%,100vh);height:100vh;display:flex;flex-direction:column}.sidebar-scroll,.toc-scroll{flex-shrink:1;overflow:auto;scroll-behavior:smooth}.content{padding:0 3em;width:46em;display:flex;flex-direction:column;justify-content:space-between}.icon{display:inline-block;height:1rem;width:1rem}.icon svg{width:100%;height:100%}.announcement{height:var(--header-height);display:flex;align-items:center;overflow-x:auto}.announcement+.page{min-height:calc(100% - var(--header-height))}.announcement-content{box-sizing:border-box;padding:.5rem;min-width:100%;white-space:nowrap;text-align:center}.nav-overlay-icon,.toc-overlay-icon{display:none;cursor:pointer}.nav-overlay-icon .icon,.toc-overlay-icon .icon{color:var(--color-foreground-secondary);height:1.25rem;width:1.25rem}.nav-overlay-icon,.toc-header-icon{justify-content:center;align-items:center}.toc-content-icon{height:1.5rem;width:1.5rem;margin-top:1.5rem;float:right}.sidebar-toggle{position:absolute;display:none}.sidebar-toggle[name=__toc]{left:20px}.sidebar-toggle:checked{left:40px}.overlay{position:fixed;top:0;width:0;height:0;transition:width 0ms,height 0ms,opacity .25s ease-out;opacity:0;background-color:rgba(0,0,0,.54)}.sidebar-overlay{z-index:20}.toc-overlay{z-index:40}.sidebar-drawer{z-index:30;transition:left .25s ease-in-out}.toc-drawer{z-index:50;transition:right .25s ease-in-out}#__navigation:checked~.sidebar-overlay{width:100%;height:100%;opacity:1}#__navigation:checked~.page .sidebar-drawer{top:0;left:0}#__toc:checked~.toc-overlay{width:100%;height:100%;opacity:1}#__toc:checked~.page .toc-drawer{top:0;right:0}@media (min-width:97em){html{font-size:110%}}@media (max-width:82em){.toc-content-icon{display:flex}.toc-drawer{position:fixed;height:100vh;top:0;right:-15em;border-left:1px solid var(--color-background-muted)}.toc-tree{border-left:none;font-size:var(--toc-font-size--mobile)}.sidebar-drawer{width:calc(50% - 18.5em)}}@media (max-width:67em){.nav-overlay-icon{display:flex}.sidebar-drawer{position:fixed;height:100vh;width:15em;top:0;left:-15em}.toc-header-icon{display:flex}.toc-content-icon{display:none}.mobile-header{position:sticky;top:0;display:flex;justify-content:space-between;align-items:center}.mobile-header .header-left,.mobile-header .header-right{display:flex;height:var(--header-height);width:var(--header-height)}.mobile-header .header-left label,.mobile-header .header-right label{height:100%;width:100%}:target{scroll-margin-top:var(--header-height)}.page{flex-direction:column;justify-content:center}.content{margin-left:auto;margin-right:auto}}@media (max-width:52em){.content{width:100%;overflow-x:auto}}@media (max-width:46em){.content{padding:0 1em}article div.sidebar{float:none;width:100%;margin:1rem 0}}.admonition{margin:1rem auto;padding:0 .5rem .5rem;background:var(--color-admonition-background);border-radius:.2rem;border-left:.2rem solid var(--color-admonition-title);box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1);font-size:var(--admonition-font-size);overflow:hidden;page-break-inside:avoid}.admonition>:nth-child(2){margin-top:0}.admonition>:last-child{margin-bottom:0}.admonition p.admonition-title{position:relative;margin:0 -.5rem .5rem;padding:.5rem .5rem .5rem 2rem;font-weight:500;font-size:var(--admonition-title-font-size);background-color:var(--color-admonition-title-background);line-height:1.3}.admonition p.admonition-title:before{content:"";position:absolute;left:.5rem;width:1rem;height:1rem;background-color:var(--color-admonition-title);-webkit-mask-image:var(--icon-admonition-default);mask-image:var(--icon-admonition-default);-webkit-mask-repeat:no-repeat;mask-repeat:no-repeat}.admonition.caution{border-left-color:var(--color-admonition-title--caution)}.admonition.caution>.admonition-title{background-color:var(--color-admonition-title-background--caution)}.admonition.caution>.admonition-title:before{background-color:var(--color-admonition-title--caution);-webkit-mask-image:var(--icon-spark);mask-image:var(--icon-spark)}.admonition.warning{border-left-color:var(--color-admonition-title--warning)}.admonition.warning>.admonition-title{background-color:var(--color-admonition-title-background--warning)}.admonition.warning>.admonition-title:before{background-color:var(--color-admonition-title--warning);-webkit-mask-image:var(--icon-warning);mask-image:var(--icon-warning)}.admonition.danger{border-left-color:var(--color-admonition-title--danger)}.admonition.danger>.admonition-title{background-color:var(--color-admonition-title-background--danger)}.admonition.danger>.admonition-title:before{background-color:var(--color-admonition-title--danger);-webkit-mask-image:var(--icon-spark);mask-image:var(--icon-spark)}.admonition.attention{border-left-color:var(--color-admonition-title--attention)}.admonition.attention>.admonition-title{background-color:var(--color-admonition-title-background--attention)}.admonition.attention>.admonition-title:before{background-color:var(--color-admonition-title--attention);-webkit-mask-image:var(--icon-warning);mask-image:var(--icon-warning)}.admonition.error{border-left-color:var(--color-admonition-title--error)}.admonition.error>.admonition-title{background-color:var(--color-admonition-title-background--error)}.admonition.error>.admonition-title:before{background-color:var(--color-admonition-title--error);-webkit-mask-image:var(--icon-failure);mask-image:var(--icon-failure)}.admonition.hint{border-left-color:var(--color-admonition-title--hint)}.admonition.hint>.admonition-title{background-color:var(--color-admonition-title-background--hint)}.admonition.hint>.admonition-title:before{background-color:var(--color-admonition-title--hint);-webkit-mask-image:var(--icon-question);mask-image:var(--icon-question)}.admonition.important{border-left-color:var(--color-admonition-title--important)}.admonition.important>.admonition-title{background-color:var(--color-admonition-title-background--important)}.admonition.important>.admonition-title:before{background-color:var(--color-admonition-title--important);-webkit-mask-image:var(--icon-flame);mask-image:var(--icon-flame)}.admonition.note{border-left-color:var(--color-admonition-title--note)}.admonition.note>.admonition-title{background-color:var(--color-admonition-title-background--note)}.admonition.note>.admonition-title:before{background-color:var(--color-admonition-title--note);-webkit-mask-image:var(--icon-pencil);mask-image:var(--icon-pencil)}.admonition.seealso{border-left-color:var(--color-admonition-title--seealso)}.admonition.seealso>.admonition-title{background-color:var(--color-admonition-title-background--seealso)}.admonition.seealso>.admonition-title:before{background-color:var(--color-admonition-title--seealso);-webkit-mask-image:var(--icon-info);mask-image:var(--icon-info)}.admonition.tip{border-left-color:var(--color-admonition-title--tip)}.admonition.tip>.admonition-title{background-color:var(--color-admonition-title-background--tip)}.admonition.tip>.admonition-title:before{background-color:var(--color-admonition-title--tip);-webkit-mask-image:var(--icon-info);mask-image:var(--icon-info)}.admonition.admonition-todo{border-left-color:var(--color-admonition-title--admonition-todo)}.admonition.admonition-todo>.admonition-title{background-color:var(--color-admonition-title-background--admonition-todo)}.admonition.admonition-todo>.admonition-title:before{background-color:var(--color-admonition-title--admonition-todo);-webkit-mask-image:var(--icon-pencil);mask-image:var(--icon-pencil)}.admonition-todo>.admonition-title{text-transform:uppercase}dl.c dd,dl.cpp dd,dl.js dd,dl.py dd{margin-left:2rem}dl.c dd>:first-child,dl.cpp dd>:first-child,dl.js dd>:first-child,dl.py dd>:first-child{margin-top:.125rem}dl.c dd>:last-child,dl.cpp dd>:last-child,dl.js dd>:last-child,dl.py dd>:last-child{margin-bottom:1.25rem}dl.c .field-list,dl.cpp .field-list,dl.js .field-list,dl.py .field-list{margin-bottom:.75rem}dl.c .field-list dt,dl.cpp .field-list dt,dl.js .field-list dt,dl.py .field-list dt{text-transform:uppercase;font-size:var(--font-size--small)}dl.c .field-list dd:empty,dl.cpp .field-list dd:empty,dl.js .field-list dd:empty,dl.py .field-list dd:empty{margin-bottom:.5rem}dl.c .field-list dd>ul,dl.cpp .field-list dd>ul,dl.js .field-list dd>ul,dl.py .field-list dd>ul{margin-left:-1.2rem}dl.c .field-list dd>ul>li>p:nth-child(2),dl.cpp .field-list dd>ul>li>p:nth-child(2),dl.js .field-list dd>ul>li>p:nth-child(2),dl.py .field-list dd>ul>li>p:nth-child(2){margin-top:0}dl.c .field-list dd>ul>li>p+p:last-child:empty,dl.cpp .field-list dd>ul>li>p+p:last-child:empty,dl.js .field-list dd>ul>li>p+p:last-child:empty,dl.py .field-list dd>ul>li>p+p:last-child:empty{margin-top:0;margin-bottom:0}dl.c>dt,dl.cpp>dt,dl.js>dt,dl.py>dt{color:var(--color-api-overall)}dl.c>dt:target,dl.cpp>dt:target,dl.js>dt:target,dl.py>dt:target{background-color:var(--color-api-highlight-on-target)}dl.class>dt,dl.enum-class>dt,dl.enum-struct>dt,dl.enum>dt,dl.exception>dt,dl.function>dt,dl.method>dt,dl.type>dt{padding-left:3em;text-indent:-3em}dl.class>dt .property,dl.enum-class>dt .property,dl.enum-struct>dt .property,dl.enum>dt .property,dl.exception>dt .property,dl.function>dt .property,dl.method>dt .property,dl.type>dt .property{color:var(--color-api-keyword);padding-right:.25rem}dl.class>dt a.reference.internal .viewcode-link,dl.enum-class>dt a.reference.internal .viewcode-link,dl.enum-struct>dt a.reference.internal .viewcode-link,dl.enum>dt a.reference.internal .viewcode-link,dl.exception>dt a.reference.internal .viewcode-link,dl.function>dt a.reference.internal .viewcode-link,dl.method>dt a.reference.internal .viewcode-link,dl.type>dt a.reference.internal .viewcode-link{width:3.5rem;font-size:var(--font-size--small)}.sig-name{font-weight:700;color:var(--color-api-name)}.sig-prename{color:var(--color-api-pre-name)}.sig-paren{color:var(--color-api-paren)}.sig-param{font-style:normal}.versionmodified{font-style:italic}div.deprecated p,div.versionadded p,div.versionchanged p{margin-top:.125rem;margin-bottom:.125rem}.viewcode-back,.viewcode-link{float:right;text-align:right}.code-block-caption,article p.caption,table>caption{font-size:var(--font-size--small);text-align:center}.toctree-wrapper.compound .caption,.toctree-wrapper.compound :not(.caption)>.caption-text{font-size:var(--font-size--small);text-transform:uppercase;text-align:initial;margin-bottom:0}.toctree-wrapper.compound>ul{margin-top:0;margin-bottom:0}code.literal{background:var(--color-inline-code-background);border-radius:.2em;font-size:var(--font-size--small--2);padding:.1em .2em}article div[class*=" highlight-"],article div[class^=highlight-]{margin:1em 0;display:flex}pre{margin:0;padding:0}article pre{line-height:1.5}.highlight pre,pre.literal-block{font-size:var(--code-font-size);padding:.625rem .875rem;overflow:auto}pre.literal-block{margin-top:1rem;margin-bottom:1rem;border-radius:.2rem;background-color:var(--color-code-background);color:var(--color-code-foreground)}.highlight{width:100%;border-radius:.2rem}.highlighttable{width:100%;display:block}.highlighttable tbody{display:block}.highlighttable tr{display:flex}.highlighttable td.linenos{background-color:var(--color-code-background);color:var(--color-code-foreground);padding:.625rem 0 .625rem .875rem;border-top-left-radius:.2rem;border-bottom-left-radius:.2rem}.highlighttable .linenodiv{font-size:var(--code-font-size);padding-right:.5rem;box-shadow:-.0625rem 0 var(--color-code-foreground) inset;opacity:.5}.highlighttable td.code{padding:0;display:block;flex:1;overflow:hidden}.highlighttable td.code .highlight{border-top-left-radius:0;border-bottom-left-radius:0}.footnote-reference{font-size:var(--font-size--small--4);vertical-align:super}dl.footnote{font-size:var(--font-size--small);color:var(--color-foreground-secondary);display:grid;grid-template-columns:-webkit-max-content auto;grid-template-columns:max-content auto}dl.footnote dt{margin:0}dl.footnote dt>.fn-backref{margin-left:.25rem}dl.footnote dt:after{content:":"}dl.footnote dt .brackets:before{content:"["}dl.footnote dt .brackets:after{content:"]"}img{box-sizing:border-box;max-width:100%;height:auto}article .figure,article figure{border-radius:.2rem;margin:0}article .figure :last-child,article figure :last-child{margin-bottom:0}article .align-left{float:left;clear:left;margin:0 1rem 1rem}article .align-right{float:right;clear:right;margin:0 1rem 1rem}article .align-center,article .align-default{display:block;text-align:center;margin-left:auto;margin-right:auto}.domainindex-jumpbox,.genindex-jumpbox{border-top:1px solid var(--color-background-border);border-bottom:1px solid var(--color-background-border);padding:.25rem}.domainindex-section h2,.genindex-section h2{margin-top:.75rem;margin-bottom:.5rem}.domainindex-section ul,.genindex-section ul{margin-top:0;margin-bottom:0}ol,ul{padding-left:1.2rem;margin-top:1rem;margin-bottom:1rem}ol li>p:first-child,ul li>p:first-child{margin-top:.25rem;margin-bottom:.25rem}ol li>p:last-child,ul li>p:last-child{margin-top:.25rem}ol li>ol,ol li>ul,ul li>ol,ul li>ul{margin-top:.5rem;margin-bottom:.5rem}.simple li>ol,.simple li>ul,.toctree-wrapper li>ol,.toctree-wrapper li>ul{margin-top:0;margin-bottom:0}.field-list dt,.option-list dt,dl.footnote dt,dl.glossary dt,dl.simple dt,dl:not([class]) dt{font-weight:500;margin-top:.25rem}.field-list dt+dt,.option-list dt+dt,dl.footnote dt+dt,dl.glossary dt+dt,dl.simple dt+dt,dl:not([class]) dt+dt{margin-top:0}.field-list dt .classifier:before,.option-list dt .classifier:before,dl.footnote dt .classifier:before,dl.glossary dt .classifier:before,dl.simple dt .classifier:before,dl:not([class]) dt .classifier:before{content:":";margin-left:.2rem;margin-right:.2rem}.field-list dd>p:first-child,.field-list dd ul,.option-list dd>p:first-child,.option-list dd ul,dl.footnote dd>p:first-child,dl.footnote dd ul,dl.glossary dd>p:first-child,dl.glossary dd ul,dl.simple dd>p:first-child,dl.simple dd ul,dl:not([class]) dd>p:first-child,dl:not([class]) dd ul{margin-top:.125rem}.field-list dd ul,.option-list dd ul,dl.footnote dd ul,dl.glossary dd ul,dl.simple dd ul,dl:not([class]) dd ul{margin-bottom:.125rem}.math-wrapper{width:100%;overflow-x:auto}abbr[title]{cursor:help}kbd:not(.compound){margin:0 .2rem;padding:0 .2rem;border-radius:.2rem;border:1px solid var(--color-foreground-border);color:var(--color-foreground-primary);vertical-align:text-bottom;font-size:var(--font-size--small--3);display:inline-block;box-shadow:0 .0625rem 0 rgba(0,0,0,.2),inset 0 0 0 .125rem var(--color-background-primary);background-color:var(--color-background-secondary)}blockquote{border-left:1px solid var(--color-foreground-border);font-style:italic;margin-left:.5rem;margin-right:.5rem;padding:.5rem 1rem}.reference img{vertical-align:middle}.code-block-caption>.headerlink,dl dt>.headerlink,h1>.headerlink,h2>.headerlink,h3>.headerlink,h4>.headerlink,h5>.headerlink,h6>.headerlink,p.caption>.headerlink,table>caption>.headerlink{font-weight:100;margin-left:.5rem;visibility:hidden;text-decoration:none}.code-block-caption:hover>.headerlink,:target>h1:first-child>.headerlink,:target>h2:first-child>.headerlink,:target>h3:first-child>.headerlink,:target>h4:first-child>.headerlink,:target>h5:first-child>.headerlink,:target>h6:first-child>.headerlink,dl dt:hover>.headerlink,h1:hover>.headerlink,h2:hover>.headerlink,h3:hover>.headerlink,h4:hover>.headerlink,h5:hover>.headerlink,h6:hover>.headerlink,p.caption:hover>.headerlink,table>caption:hover>.headerlink{visibility:visible}p.rubric{text-transform:uppercase;font-size:var(--font-size--small)}article .sidebar{float:right;clear:right;width:30%;margin-left:1rem;margin-right:0;border-radius:.2rem;background-color:var(--color-background-secondary);border:1px solid var(--color-background-border)}article .sidebar>*{padding-left:1rem;padding-right:1rem}article .sidebar>ol,article .sidebar>ul{padding-left:2.2rem}article .sidebar .sidebar-title{margin:0;padding:.5rem 1rem;border-bottom:1px solid var(--color-background-border);font-weight:500}.table-wrapper{width:100%;overflow-x:auto;margin-top:1rem;margin-bottom:.5rem;padding:.2rem .2rem .75rem}table.docutils{border-radius:.2rem;border-spacing:0;border-collapse:collapse;box-shadow:0 .2rem .5rem rgba(0,0,0,.05),0 0 .0625rem rgba(0,0,0,.1)}table.docutils th{background:var(--color-background-secondary)}table.docutils td,table.docutils th{padding:0 .25rem;border-left:1px solid var(--color-background-border);border-right:1px solid var(--color-background-border);border-bottom:1px solid var(--color-background-border)}table.docutils td p,table.docutils th p{margin:.25rem}table.docutils td:first-child,table.docutils th:first-child{border-left:none}table.docutils td:last-child,table.docutils th:last-child{border-right:none}.guilabel{background-color:var(--color-guilabel-background);border:1px solid var(--color-guilabel-border);color:var(--color-guilabel-text);padding:0 .3em;border-radius:.5em;font-size:.9em}footer{font-size:var(--font-size--small);display:flex;flex-direction:column;margin-top:2rem}.related-information{margin-top:1rem;padding:.75rem .75rem 1rem;border-top:1px solid var(--color-background-border);line-height:1.5;color:var(--color-foreground-secondary)}.related-pages a{display:flex;align-items:center;text-decoration:none}.related-pages a:hover .page-info .title{text-decoration:underline;color:var(--color-link);-webkit-text-decoration-color:var(--color-link-underline);text-decoration-color:var(--color-link-underline)}.related-pages a svg,.related-pages a svg>use{flex-shrink:0;color:var(--color-foreground-border);width:.75rem;height:.75rem;margin:0 .5rem}.related-pages a.next-page{max-width:50%;float:right;clear:right;text-align:right}.related-pages a.prev-page{max-width:50%;float:left;clear:left}.related-pages a.prev-page svg{transform:rotate(180deg)}.page-info{display:flex;flex-direction:column}.next-page .page-info{align-items:flex-end}.page-info .context{display:flex;align-items:center;padding-bottom:.1rem;color:var(--color-foreground-muted);font-size:var(--font-size--small);text-decoration:none}ul.search{padding-left:0;list-style:none}ul.search li{padding:1rem 0;border-bottom:1px solid var(--color-background-border)}.highlighted{background-color:var(--color-highlighted-background);color:var(--color-highlighted-text)}.sidebar-brand{display:flex;flex-direction:column;flex-shrink:0;padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);text-decoration:none}.sidebar-brand-text{overflow-wrap:break-word;font-size:1.5rem}.sidebar-brand-text,.sidebar-logo-container{margin:var(--sidebar-item-spacing-vertical) 0}.sidebar-logo{margin:0 auto;display:block;max-width:100%}.sidebar-search-container{display:flex;align-items:center;margin-top:var(--sidebar-search-space-above);position:relative}.sidebar-search-container:before{content:"";position:absolute;left:var(--sidebar-item-spacing-horizontal);width:var(--sidebar-search-icon-size);height:var(--sidebar-search-icon-size)}.sidebar-search{box-sizing:border-box;padding:var(--sidebar-search-input-spacing-vertical) var(--sidebar-search-input-spacing-horizontal) var(--sidebar-search-input-spacing-vertical) calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size));width:100%;color:var(--color-sidebar-search-foreground);background:transparent;z-index:10}.sidebar-search:focus{outline:none}.sidebar-search::-moz-placeholder{font-size:var(--sidebar-search-input-font-size)}.sidebar-search:-ms-input-placeholder{font-size:var(--sidebar-search-input-font-size)}.sidebar-search::placeholder{font-size:var(--sidebar-search-input-font-size)}.sidebar-tree{font-size:var(--sidebar-item-font-size);margin-top:var(--sidebar-tree-space-above);margin-bottom:var(--sidebar-item-spacing-vertical)}.sidebar-tree ul{padding:0;margin-top:0;margin-bottom:0;display:flex;flex-direction:column;list-style:none}.sidebar-tree li{position:relative;margin:0}.sidebar-tree li>ul{margin-left:var(--sidebar-item-spacing-horizontal)}.sidebar-tree .reference{box-sizing:border-box;display:inline-block;line-height:var(--sidebar-item-line-height);height:100%;width:100%;padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}.sidebar-tree .reference.external:after{content:url("data:image/svg+xml;charset=utf-8,%3Csvg width='12' height='12' xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' stroke-width='1.5' stroke='%23607D8B' fill='none' stroke-linecap='round' stroke-linejoin='round'%3E%3Cpath d='M0 0h24v24H0z' stroke='none'/%3E%3Cpath d='M11 7H6a2 2 0 00-2 2v9a2 2 0 002 2h9a2 2 0 002-2v-5M10 14L20 4M15 4h5v5'/%3E%3C/svg%3E");margin:0 .25rem;vertical-align:middle}.sidebar-tree .current-page>.reference{font-weight:700}.sidebar-tree label{position:absolute;top:0;right:0;height:var(--sidebar-item-height);width:var(--sidebar-expander-width);cursor:pointer;display:flex;justify-content:center;align-items:center}.sidebar-tree .caption,.sidebar-tree :not(.caption)>.caption-text{font-size:var(--sidebar-caption-font-size);font-weight:700;text-transform:uppercase;margin:var(--sidebar-caption-space-above) 0 0 0;padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}.sidebar-tree li.has-children>.reference{padding-right:var(--sidebar-expander-width)}.toctree-checkbox{position:absolute;display:none}.toctree-checkbox~ul{display:none}.toctree-checkbox~label .icon svg{transform:rotate(90deg)}.toctree-checkbox:checked~ul{display:block}.toctree-checkbox:checked~label .icon svg{transform:rotate(-90deg)}.toc-title-container{padding:var(--toc-title-padding);padding-top:var(--toc-spacing-vertical)}.toc-title{font-size:var(--toc-title-font-size);padding-left:var(--toc-spacing-horizontal);text-transform:uppercase}.no-toc{display:none}.toc-tree-container{padding-bottom:var(--toc-spacing-vertical)}.toc-tree{font-size:var(--toc-font-size);line-height:1.3;padding-left:calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal))}.toc-tree>ul>li:first-child{padding-top:0}.toc-tree>ul>li:first-child>ul{padding-left:0}.toc-tree>ul>li:first-child>a{display:none}.toc-tree ul{list-style-type:none;margin-top:0;margin-bottom:0;padding-left:var(--toc-item-spacing-horizontal)}.toc-tree li{padding-top:var(--toc-item-spacing-vertical)}.toc-tree li .reference{word-break:break-word;text-decoration:none}.toc-tree li.scroll-current>.reference{font-weight:700}.toc-scroll{max-height:100vh;overflow-y:scroll}.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here){color:var(--color-problematic);background:rgba(255,0,0,.25)}.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here):before{content:"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch."}
+/*# sourceMappingURL=furo.css.map */
diff --git a/docs/0.10.3/html/_static/styles/furo.css.map b/docs/0.10.3/html/_static/styles/furo.css.map
new file mode 100644
index 000000000..23380e65b
--- /dev/null
+++ b/docs/0.10.3/html/_static/styles/furo.css.map
@@ -0,0 +1 @@
+{"version":3,"sources":["../../../../node_modules/normalize.css/normalize.css","base/_theme.sass","furo.css","base/_typography.sass","variables/_index.scss","_scaffold.sass","content/_admonitions.sass","content/_api.sass","content/_captions.sass","content/_code.sass","content/_footnotes.sass","content/_images.sass","content/_indexes.sass","content/_lists.sass","content/_math.sass","content/_misc.sass","content/_permalinks.sass","content/_rubrics.sass","content/_sidebar.sass","content/_tables.sass","content/_gui-labels.sass","components/_footer.sass","components/_search.sass","components/_sidebar.sass","components/_table_of_contents.sass"],"names":[],"mappings":"AAAA,2EAA2E,CAU3E,KACE,gBAAiB,CACjB,6BACF,CASA,KACE,QACF,CAMA,KACE,aACF,CAOA,GACE,aAAc,CACd,cACF,CAUA,GACE,sBAAuB,CACvB,QAAS,CACT,gBACF,CAOA,IACE,+BAAiC,CACjC,aACF,CASA,EACE,4BACF,CAOA,YACE,kBAAmB,CACnB,yBAA0B,CAC1B,wCAAiC,CAAjC,gCACF,CAMA,SAEE,kBACF,CAOA,cAGE,+BAAiC,CACjC,aACF,CAMA,MACE,aACF,CAOA,QAEE,aAAc,CACd,aAAc,CACd,iBAAkB,CAClB,uBACF,CAEA,IACE,aACF,CAEA,IACE,SACF,CASA,IACE,iBACF,CAUA,sCAKE,mBAAoB,CACpB,cAAe,CACf,gBAAiB,CACjB,QACF,CAOA,aAEE,gBACF,CAOA,cAEE,mBACF,CAMA,gDAIE,yBACF,CAMA,wHAIE,iBAAkB,CAClB,SACF,CAMA,4GAIE,6BACF,CAMA,SACE,0BACF,CASA,OACE,qBAAsB,CACtB,aAAc,CACd,aAAc,CACd,cAAe,CACf,SAAU,CACV,kBACF,CAMA,SACE,uBACF,CAMA,SACE,aACF,CAOA,6BAEE,qBAAsB,CACtB,SACF,CAMA,kFAEE,WACF,CAOA,cACE,4BAA6B,CAC7B,mBACF,CAMA,yCACE,uBACF,CAOA,6BACE,yBAA0B,CAC1B,YACF,CASA,QACE,aACF,CAMA,QACE,iBACF,CAiBA,kBACE,YACF,CCtVA,KACE,qCAAA,CACA,0CCJF,CDWI,gCACE,8BAAA,CACA,oBCRN,CDaA,cACE,qDAAA,CACA,oCCVF,CDeA,gBACE,6DAAA,CACA,0CCZF,CDcA,eACE,qCCXF,CDaA,0BACE,iDCVF,CDWE,uEAEE,wDCVJ,CDYE,iCACE,iDAAA,CACA,qCAAA,CAAA,6BCVJ,CDYA,gBACE,WAAA,CACA,uDAAA,CACA,0DCTF,CDcE,6CADE,oCCLJ,CDME,yBACE,oBCPJ,CDSI,+BACE,sDCPN,CDSI,wCAEE,oCCRN,CDSE,mDACE,uCCPJ,CDWI,2EAEE,+CCVN,CDaE,oBACE,wDCXJ,CDYI,0BACE,+DCVN,CDYE,kCACE,wDCVJ,CDWI,wCACE,sDCTN,CDeA,YACE,sCCZF,CDcA,WACE,iCCXF,CDaA,UACE,oDCVF,CDYE,qBACE,oBAAA,CACA,gCCVJ,CDYE,qCACE,wCCVJ,CDeA,QACE,qCAAA,CACA,0CCZF,CDcA,EACE,yBAAA,CAEA,uBAAA,CACA,yDAAA,CAAA,iDCZF,CDcE,QACE,8BAAA,CACA,gEAAA,CAAA,wDCZJ,CDaE,aACE,oBCXJ,CDYI,mBACE,yBAAA,CACA,uBAAA,CACA,yDAAA,CAAA,iDCVN,CDYA,aACE,8BCTF,CDYA,YACE,uBCTF,CDUA,WACE,sBCPF,CDSA,mCACE,YACE,sBCNF,CDOA,WACE,uBCJF,CACF,CCrIA,KACE,6BDuIF,CCtIA,kBAIE,wCDyIF,CCtIA,KACE,kCAAA,CACA,iCDyIF,CCtIA,QACE,eDyIF,CCpIA,GACE,iBDuIF,CCtIA,GACE,iBDyIF,CCxIA,GACE,iBD2IF,CC1IA,GACE,cD6IF,CC5IA,GACE,iBD+IF,CC9IA,GACE,gBDiJF,CC9IA,MAGE,kBAAA,CACA,eDiJF,CC/IA,SAJE,iBDyJF,CCrJA,GAEE,oBAAA,CACA,eDkJF,CC/IA,SAGE,wBAAA,CACA,eAAA,CACA,mBAAA,CACA,eDkJF,CC/IA,EACE,iBAAA,CACA,oBDkJF,CC/IA,YACE,UAAA,CACA,SAAA,CACA,aAAA,CACA,+CAAA,CACA,QDkJF,CChJA,UACE,iBDmJF,CEzLA,MAKE,kHAAA,CAEA,uGAAA,CAGA,wBAAA,CACA,wBAAA,CACA,4BAAA,CACA,yBAAA,CACA,2BAAA,CAGA,sDAAA,CACA,gDAAA,CACA,wDAAA,CAGA,0CAAA,CACA,gDAAA,CACA,gDAAA,CAGA,gCAAA,CACA,sCAAA,CAGA,2CAAA,CAKA,8FAAA,CAKA,iCAAA,CACA,kCAAA,CAEA,+BAAA,CACA,sCAAA,CACA,sCAAA,CACA,oGAAA,CAIA,mDAAA,CAEA,mCAAA,CACA,8CAAA,CACA,gDAAA,CACA,kCAAA,CACA,6DAAA,CAGA,6BAAA,CACA,6BAAA,CACA,+BAAA,CACA,kCAAA,CACA,kCAAA,CAME,yTAAA,CAAA,8QAAA,CAAA,6LAAA,CAAA,+NAAA,CAAA,8wBAAA,CAAA,qZAAA,CAAA,kLAAA,CAAA,mTAAA,CAAA,0UAAA,CAEF,8CAAA,CAQA,2BAAA,CAGA,+BAAA,CACA,oCAAA,CACA,gCAAA,CACA,iCAAA,CAEA,+BAAA,CACA,oCAAA,CACA,gCAAA,CACA,yDAAA,CACA,iCAAA,CAGA,8DAAA,CACA,iCAAA,CAGA,6BAAA,CACA,6BAAA,CAGA,iDAAA,CACA,2CAAA,CACA,+CAAA,CACA,mDAAA,CACA,4CAAA,CACA,oCAAA,CAGA,gEAAA,CAGA,mCAAA,CACA,wDAAA,CAGA,gEAAA,CACA,4DAAA,CACA,qDAAA,CAGA,yCAAA,CACA,gCAAA,CACA,wDAAA,CAGE,yCAAA,CACA,gEAAA,CADA,yCAAA,CACA,gEAAA,CADA,wCAAA,CACA,+DAAA,CADA,2CAAA,CACA,kEAAA,CADA,uCAAA,CACA,8DAAA,CADA,sCAAA,CACA,4DAAA,CADA,2CAAA,CACA,kEAAA,CADA,sCAAA,CACA,6DAAA,CADA,yCAAA,CACA,iEAAA,CADA,qCAAA,CACA,2DAAA,CADA,8CAAA,CACA,yEAAA,CAcF,yDAAA,CACA,oDAAA,CACA,mDAAA,CAGA,4DAAA,CACA,gEAAA,CAEA,0DAAA,CACA,0DAAA,CACA,2DAAA,CACA,+DAAA,CAEA,+DAAA,CACA,6EAAA,CAGA,2MAAA,CAOA,oDAAA,CACA,6EAAA,CAIA,2DAAA,CACA,mEAAA,CACA,wEAAA,CACA,4DAAA,CACA,yDAAA,CAGA,sDAAA,CACA,oDAAA,CACA,uDAAA,CACA,4DAAA,CACA,wDAAA,CAGA,0DAAA,CACA,sCAAA,CAEA,uCAAA,CACA,8CAAA,CACA,qDAAA,CACA,4DFwIF,CErIA,mCACE,MACE,2BAAA,CAGA,6DAAA,CACA,oCAAA,CACA,gCAAA,CACA,8BAAA,CAEA,kCAAA,CACA,oCAAA,CACA,gCAAA,CACA,sDAAA,CACA,iCAAA,CAGA,8DAAA,CACA,iCAAA,CAGA,6BAAA,CACA,6BAAA,CAGA,sCAAA,CAGA,4DAAA,CACA,yDAAA,CAGA,oCAAA,CAGA,qCFyHF,CACF,CGhXA,KACE,iBAAA,CACA,iBHkXF,CGhXA,qBAEE,oBAAA,CACA,0DHkXF,CG/WE,wCACE,YAAA,CACA,aHiXJ,CGhXE,8CACE,+CAAA,CACA,qBHkXJ,CG7WA,UAEE,WHgXF,CG9WA,MACE,YAAA,CAEA,eHgXF,CG9WA,eACE,UAAA,CACA,2BAAA,CACA,+CAAA,CACA,8BAAA,CACA,kDAAA,CAIA,UAAA,CAQA,YHuWF,CG5WE,wBACE,kBAAA,CACA,gEH8WJ,CGzWA,MACE,YAAA,CACA,MH4WF,CGzWA,gBACE,qBAAA,CAEA,YAAA,CACA,wBAAA,CAEA,sBAAA,CACA,cH0WF,CGvWA,+BAEE,qBAAA,CACA,UH0WF,CGxWA,YAEE,kBH0WF,CGxWA,4BAEE,eAAA,CACA,KAAA,CACA,sBAAA,CACA,YAAA,CAEA,YAAA,CACA,qBH0WF,CGxWA,4BAEE,aAAA,CAEA,aAAA,CACA,sBH0WF,CGvWA,SACE,aAAA,CACA,UDrGc,CCuGd,YAAA,CACA,qBAAA,CACA,6BHyWF,CGvWA,MACE,oBAAA,CACA,WAAA,CACA,UH0WF,CGzWE,UACE,UAAA,CACA,WH2WJ,CGtWA,cACE,2BAAA,CACA,YAAA,CACA,kBAAA,CACA,eHyWF,CGxWE,oBACE,4CH0WJ,CGxWA,sBACE,qBAAA,CACA,aAAA,CACA,cAAA,CACA,kBAAA,CACA,iBH2WF,CGtWA,oCACE,YAAA,CACA,cHyWF,CGvWE,gDACE,uCAAA,CACA,cAAA,CACA,aHyWJ,CGvWA,mCAEE,sBAAA,CACA,kBHyWF,CGvWA,kBACE,aAAA,CACA,YAAA,CACA,iBAAA,CACA,WH0WF,CGxWA,gBACE,iBAAA,CACA,YH2WF,CGzWA,4BACE,SH4WF,CG3WA,wBACE,SH8WF,CG3WA,SACE,cAAA,CACA,KAAA,CACA,OAAA,CACA,QAAA,CAEA,qDAAA,CAEA,SAAA,CACA,gCH4WF,CG3WA,iBACE,UH8WF,CG7WA,aACE,UHgXF,CG7WA,gBACE,UAAA,CACA,gCHgXF,CG/WA,YACE,UAAA,CACA,iCHkXF,CG9WE,uCACE,UAAA,CACA,WAAA,CACA,SHiXJ,CG/WI,4CACE,KAAA,CACA,MHiXN,CG9WE,4BACE,UAAA,CACA,WAAA,CACA,SHiXJ,CG/WI,iCACE,KAAA,CACA,OHiXN,CG3WA,wBACE,KACE,cH8WF,CACF,CG7WA,wBAEE,kBACE,YH8WF,CG7WA,YACE,cAAA,CACA,YAAA,CACA,KAAA,CACA,WAAA,CACA,mDHgXF,CG/WA,UACE,gBAAA,CACA,sCHkXF,CG/WA,gBACE,wBHkXF,CACF,CGjXA,wBAEE,kBACE,YHkXF,CGjXA,gBACE,cAAA,CACA,YAAA,CACA,UDlPY,CCoPZ,KAAA,CACA,UHmXF,CGhXA,iBACE,YHmXF,CGlXA,kBACE,YHqXF,CGlXA,eACE,eAAA,CACA,KAAA,CACA,YAAA,CACA,6BAAA,CACA,kBHqXF,CGnXE,yDAEE,YAAA,CACA,2BAAA,CACA,0BHqXJ,CGpXI,qEACE,WAAA,CACA,UHuXN,CGpXA,QACE,sCHuXF,CGpXA,MACE,qBAAA,CACA,sBHuXF,CGtXA,SACE,gBAAA,CACA,iBHyXF,CACF,CGxXA,wBAEE,SACE,UAAA,CACA,eHyXF,CACF,CGxXA,wBACE,SACE,aH0XF,CGxXA,oBACE,UAAA,CACA,UAAA,CACA,aH2XF,CACF,CI3qBA,YACE,gBAAA,CACA,qBAAA,CAEA,6CAAA,CAEA,mBAAA,CACA,qDAAA,CACA,oEAAA,CAEA,qCAAA,CAEA,eAAA,CACA,uBJyqBF,CItqBE,0BACE,YJwqBJ,CIrqBE,wBACE,eJuqBJ,CInqBE,+BACE,iBAAA,CACA,qBAAA,CACA,8BAAA,CAEA,eAAA,CACA,2CAAA,CACA,yDAAA,CAEA,eJmqBJ,CIhqBI,sCACE,UAAA,CACA,iBAAA,CACA,UAAA,CACA,UAAA,CACA,WAAA,CAEA,8CAAA,CAEA,iDAAA,CAAA,yCAAA,CACA,6BAAA,CAAA,qBJgqBN,CI1pBI,oBACE,wDJ4pBN,CI3pBM,sCACE,kEJ6pBR,CI5pBQ,6CACE,uDAAA,CACA,oCAAA,CAAA,4BJ8pBV,CIpqBI,oBACE,wDJsqBN,CIrqBM,sCACE,kEJuqBR,CItqBQ,6CACE,uDAAA,CACA,sCAAA,CAAA,8BJwqBV,CI9qBI,mBACE,uDJgrBN,CI/qBM,qCACE,iEJirBR,CIhrBQ,4CACE,sDAAA,CACA,oCAAA,CAAA,4BJkrBV,CIxrBI,sBACE,0DJ0rBN,CIzrBM,wCACE,oEJ2rBR,CI1rBQ,+CACE,yDAAA,CACA,sCAAA,CAAA,8BJ4rBV,CIlsBI,kBACE,sDJosBN,CInsBM,oCACE,gEJqsBR,CIpsBQ,2CACE,qDAAA,CACA,sCAAA,CAAA,8BJssBV,CI5sBI,iBACE,qDJ8sBN,CI7sBM,mCACE,+DJ+sBR,CI9sBQ,0CACE,oDAAA,CACA,uCAAA,CAAA,+BJgtBV,CIttBI,sBACE,0DJwtBN,CIvtBM,wCACE,oEJytBR,CIxtBQ,+CACE,yDAAA,CACA,oCAAA,CAAA,4BJ0tBV,CIhuBI,iBACE,qDJkuBN,CIjuBM,mCACE,+DJmuBR,CIluBQ,0CACE,oDAAA,CACA,qCAAA,CAAA,6BJouBV,CI1uBI,oBACE,wDJ4uBN,CI3uBM,sCACE,kEJ6uBR,CI5uBQ,6CACE,uDAAA,CACA,mCAAA,CAAA,2BJ8uBV,CIpvBI,gBACE,oDJsvBN,CIrvBM,kCACE,8DJuvBR,CItvBQ,yCACE,mDAAA,CACA,mCAAA,CAAA,2BJwvBV,CI9vBI,4BACE,gEJgwBN,CI/vBM,8CACE,0EJiwBR,CIhwBQ,qDACE,+DAAA,CACA,qCAAA,CAAA,6BJkwBV,CIhwBA,mCACE,wBJmwBF,CK3zBE,oCACE,gBL8zBJ,CK7zBI,wFACE,kBL+zBN,CK9zBI,oFACE,qBLg0BN,CK7zBE,wEACE,oBL+zBJ,CK5zBI,oFACE,wBAAA,CACA,iCL8zBN,CK5zBI,4GACE,mBL8zBN,CK7zBI,gGACE,mBL+zBN,CK7zBQ,wKACE,YL+zBV,CK5zBQ,gMACE,YAAA,CACA,eL8zBV,CK3zBE,oCACE,8BL6zBJ,CK5zBI,gEACE,qDL8zBN,CKpzBE,iHACE,gBAAA,CACA,gBL8zBJ,CK7zBI,iMACE,8BAAA,CACA,oBLs0BN,CKl0BM,iZACE,YAAA,CACA,iCL20BR,CKz0BA,UACE,eAAA,CACA,2BL40BF,CK30BA,aACE,+BL80BF,CK70BA,WACE,4BLg1BF,CK/0BA,WACE,iBLk1BF,CKh1BA,iBACE,iBLm1BF,CKj1BE,yDACE,kBAAA,CACA,qBLo1BJ,CKj1BA,8BACE,WAAA,CACA,gBLo1BF,CMt6BA,oDAGE,iCAAA,CACA,iBNy6BF,CMr6BE,0FACE,iCAAA,CACA,wBAAA,CAEA,kBAAA,CACA,eNu6BJ,CMr6BE,6BACE,YAAA,CACA,eNu6BJ,COx7BA,aACE,8CAAA,CACA,kBAAA,CAEA,oCAAA,CACA,iBP07BF,COl7BE,iEAEE,YAAA,CACA,YPq7BJ,COn7BA,IACE,QAAA,CACA,SPs7BF,COn7BE,YACE,ePq7BJ,COn7BE,iCAEE,+BAAA,CACA,uBAAA,CACA,aPo7BJ,COj7BE,kBACE,eAAA,CACA,kBAAA,CAEA,mBAAA,CACA,6CAAA,CACA,kCPk7BJ,CO/6BA,WACE,UAAA,CACA,mBPk7BF,CO/6BA,gBACE,UAAA,CACA,aPk7BF,COj7BE,sBACE,aPm7BJ,COj7BE,mBACE,YPm7BJ,COh7BE,2BACE,6CAAA,CACA,kCAAA,CAEA,iCAAA,CACA,4BAAA,CACA,+BPk7BJ,COh7BE,2BACE,+BAAA,CAEA,mBAAA,CACA,yDAAA,CACA,UPi7BJ,CO96BE,wBACE,SAAA,CACA,aAAA,CACA,MAAA,CACA,ePg7BJ,CO96BI,mCACE,wBAAA,CACA,2BPg7BN,CQjgCA,oBACE,oCAAA,CACA,oBRogCF,CQjgCA,YACE,iCAAA,CACA,uCAAA,CAEA,YAAA,CACA,8CAAA,CAAA,sCRmgCF,CQlgCE,eACE,QRogCJ,CQngCI,2BACE,kBRqgCN,CQngCI,qBACE,WRqgCN,CQlgCM,gCACE,WRogCR,CQngCM,+BACE,WRqgCR,CS1hCA,IACE,qBAAA,CACA,cAAA,CACA,WT6hCF,CS1hCE,+BACE,mBAAA,CAEA,QT4hCJ,CS3hCI,uDACE,eT6hCN,CS3hCE,oBACE,UAAA,CACA,UAAA,CACA,kBT6hCJ,CS3hCE,qBACE,WAAA,CACA,WAAA,CACA,kBT6hCJ,CS3hCE,6CAEE,aAAA,CACA,iBAAA,CACA,gBAAA,CACA,iBT6hCJ,CU5jCA,uCACE,mDAAA,CACA,sDAAA,CACA,cV+jCF,CU5jCE,6CACE,iBAAA,CACA,mBV+jCJ,CU9jCE,6CACE,YAAA,CACA,eVgkCJ,CW3kCA,MAEE,mBAAA,CAGA,eAAA,CACA,kBX4kCF,CWzkCI,wCACE,iBAAA,CACA,oBX4kCN,CW1kCI,sCACE,iBX6kCN,CW3kCI,oCAEE,gBAAA,CACA,mBX+kCN,CWzkCI,0EAEE,YAAA,CACA,eX8kCN,CWrkCE,6FACE,eAAA,CACA,iBX6kCJ,CW5kCI,+GACE,YXmlCN,CWjlCI,+MACE,WAAA,CACA,iBAAA,CACA,kBXwlCN,CWrlCI,gSAEE,kBXimCN,CW/lCI,+GACE,qBXsmCN,CY5pCA,cACE,UAAA,CACA,eZ+pCF,CahqCA,YACE,WbmqCF,CahqCA,mBACE,cAAA,CACA,eAAA,CACA,mBAAA,CACA,+CAAA,CACA,qCAAA,CACA,0BAAA,CAEA,oCAAA,CACA,oBAAA,CAEA,0FAAA,CAEA,kDbgqCF,Ca7pCA,WACE,oDAAA,CACA,iBAAA,CACA,iBAAA,CACA,kBAAA,CACA,kBbgqCF,Ca7pCA,eACE,qBbgqCF,CclrCE,4LACE,eAAA,CACA,iBAAA,CACA,iBAAA,CACA,oBd8rCJ,CcnrCE,0cACE,kBdusCJ,CenuCA,SACE,wBAAA,CACA,iCfsuCF,CgBxuCA,iBACE,WAAA,CACA,WAAA,CACA,SAAA,CAEA,gBAAA,CACA,cAAA,CAEA,mBAAA,CACA,kDAAA,CACA,+ChByuCF,CgBvuCE,mBACE,iBAAA,CACA,kBhByuCJ,CgBvuCE,wCACE,mBhByuCJ,CgBvuCE,gCACE,QAAA,CACA,kBAAA,CACA,sDAAA,CAEA,ehBwuCJ,CiBhwCA,eACE,UAAA,CACA,eAAA,CACA,eAAA,CACA,mBAAA,CACA,0BjBmwCF,CiBjwCA,eACE,mBAAA,CACA,gBAAA,CACA,wBAAA,CAEA,oEjBmwCF,CiBjwCE,kBACE,4CjBmwCJ,CiBjwCE,oCAGE,gBAAA,CAKA,oDAAA,CACA,qDAAA,CACA,sDjB8vCJ,CiBpwCI,wCACE,ajBuwCN,CiBhwCI,4DACE,gBjBmwCN,CiBlwCI,0DACE,iBjBqwCN,CkBryCA,UACE,iDAAA,CACA,6CAAA,CACA,gCAAA,CAEA,cAAA,CACA,kBAAA,CACA,clBuyCF,CmB3yCA,OACE,iCAAA,CACA,YAAA,CACA,qBAAA,CAEA,enB6yCF,CmB1yCA,qBACE,eAAA,CAGA,0BAAA,CAEA,mDAAA,CAEA,eAAA,CACA,uCnB0yCF,CmBtyCE,iBACE,YAAA,CACA,kBAAA,CAEA,oBnBwyCJ,CmBvyCI,yCACE,yBAAA,CACA,uBAAA,CACA,yDAAA,CAAA,iDnByyCN,CmBvyCI,8CAEE,aAAA,CAEA,oCAAA,CAEA,YAAA,CACA,aAAA,CACA,cnBuyCN,CmBryCI,2BACE,aAAA,CAEA,WAAA,CACA,WAAA,CACA,gBnBsyCN,CmBpyCI,2BACE,aAAA,CAEA,UAAA,CACA,UnBqyCN,CmBnyCM,+BACE,wBnBqyCR,CmBnyCA,WACE,YAAA,CACA,qBnBsyCF,CmBpyCE,sBACE,oBnBsyCJ,CmBpyCE,oBACE,YAAA,CACA,kBAAA,CAEA,oBAAA,CAEA,mCAAA,CACA,iCAAA,CACA,oBnBoyCJ,CoB52CA,UACE,cAAA,CACA,epB+2CF,CoB72CE,aACE,cAAA,CACA,sDpB+2CJ,CoB12CA,aACE,oDAAA,CACA,mCpB62CF,CqBv3CA,eACE,YAAA,CACA,qBAAA,CACA,aAAA,CAEA,mFAAA,CACA,oBrBy3CF,CqBv3CA,oBACE,wBAAA,CAEA,gBrB03CF,CqBx3CA,4CAHE,6CrB+3CF,CqBz3CA,cACE,aAAA,CACA,aAAA,CACA,crB43CF,CqBv3CA,0BACE,YAAA,CACA,kBAAA,CACA,4CAAA,CAEA,iBrBy3CF,CqBx3CE,iCACE,UAAA,CACA,iBAAA,CACA,2CAAA,CACA,qCAAA,CACA,sCrB03CJ,CqBx3CA,gBACE,qBAAA,CAKA,gRAAA,CAEA,UAAA,CAEA,4CAAA,CACA,sBAAA,CACA,UrBw3CF,CqBt3CE,sBACE,YrBw3CJ,CqBt3CE,kCACE,+CrBw3CJ,CqBz3CE,sCACE,+CrBw3CJ,CqBz3CE,6BACE,+CrBw3CJ,CqBn3CA,cACE,uCAAA,CACA,0CAAA,CACA,kDrBs3CF,CqBp3CE,iBACE,SAAA,CACA,YAAA,CACA,eAAA,CAEA,YAAA,CACA,qBAAA,CAEA,erBo3CJ,CqBl3CE,iBACE,iBAAA,CACA,QrBo3CJ,CqBl3CI,oBACE,kDrBo3CN,CqBl3CE,yBACE,qBAAA,CAEA,oBAAA,CACA,2CAAA,CAEA,WAAA,CACA,UAAA,CAEA,mFrBi3CJ,CqB92CI,wCACE,oXAAA,CACA,eAAA,CACA,qBrBg3CN,CqB72CE,uCACE,erB+2CJ,CqB72CE,oBACE,iBAAA,CACA,KAAA,CACA,OAAA,CACA,iCAAA,CACA,mCAAA,CAEA,cAAA,CAEA,YAAA,CACA,sBAAA,CACA,kBrB62CJ,CqB32CE,kEACE,0CAAA,CAEA,eAAA,CACA,wBAAA,CAEA,+CAAA,CAEA,mFrB02CJ,CqBr2CI,yCACE,2CrBu2CN,CqBr2CA,kBACE,iBAAA,CACA,YrBw2CF,CqBl2CE,qBACE,YrBq2CJ,CqBn2CE,kCACE,uBrBq2CJ,CqBl2CE,6BACE,arBq2CJ,CqBn2CE,0CACE,wBrBq2CJ,CsBhgDA,qBACE,gCAAA,CACA,uCtBmgDF,CsBjgDA,WACE,oCAAA,CACA,0CAAA,CACA,wBtBogDF,CsBjgDA,QACE,YtBogDF,CsBlgDA,oBACE,0CtBqgDF,CsBngDA,UACE,8BAAA,CACA,eAAA,CAEA,qFtBqgDF,CsBlgDE,4BACE,atBogDJ,CsBngDI,+BACE,ctBqgDN,CsBpgDI,8BACE,YtBsgDN,CsBpgDE,aACE,oBAAA,CACA,YAAA,CACA,eAAA,CACA,+CtBsgDJ,CsBrgDE,aACE,4CtBugDJ,CsBrgDI,wBACE,qBAAA,CACA,oBtBugDN,CsBrgDI,uCACE,etBugDN,CsBrgDA,YACE,gBAAA,CACA,iBtBwgDF,CsBrgDA,4EACE,8BAAA,CACA,4BtBwgDF,CsBvgDE,mFACE,6OtBygDJ","file":"furo.css","sourcesContent":["/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */\n\n/* Document\n   ========================================================================== */\n\n/**\n * 1. Correct the line height in all browsers.\n * 2. Prevent adjustments of font size after orientation changes in iOS.\n */\n\nhtml {\n  line-height: 1.15; /* 1 */\n  -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/* Sections\n   ========================================================================== */\n\n/**\n * Remove the margin in all browsers.\n */\n\nbody {\n  margin: 0;\n}\n\n/**\n * Render the `main` element consistently in IE.\n */\n\nmain {\n  display: block;\n}\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n/* Grouping content\n   ========================================================================== */\n\n/**\n * 1. Add the correct box sizing in Firefox.\n * 2. Show the overflow in Edge and IE.\n */\n\nhr {\n  box-sizing: content-box; /* 1 */\n  height: 0; /* 1 */\n  overflow: visible; /* 2 */\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\npre {\n  font-family: monospace, monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/* Text-level semantics\n   ========================================================================== */\n\n/**\n * Remove the gray background on active links in IE 10.\n */\n\na {\n  background-color: transparent;\n}\n\n/**\n * 1. Remove the bottom border in Chrome 57-\n * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n */\n\nabbr[title] {\n  border-bottom: none; /* 1 */\n  text-decoration: underline; /* 2 */\n  text-decoration: underline dotted; /* 2 */\n}\n\n/**\n * Add the correct font weight in Chrome, Edge, and Safari.\n */\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\ncode,\nkbd,\nsamp {\n  font-family: monospace, monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/**\n * Add the correct font size in all browsers.\n */\n\nsmall {\n  font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` elements from affecting the line height in\n * all browsers.\n */\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\n/* Embedded content\n   ========================================================================== */\n\n/**\n * Remove the border on images inside links in IE 10.\n */\n\nimg {\n  border-style: none;\n}\n\n/* Forms\n   ========================================================================== */\n\n/**\n * 1. Change the font styles in all browsers.\n * 2. Remove the margin in Firefox and Safari.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  font-family: inherit; /* 1 */\n  font-size: 100%; /* 1 */\n  line-height: 1.15; /* 1 */\n  margin: 0; /* 2 */\n}\n\n/**\n * Show the overflow in IE.\n * 1. Show the overflow in Edge.\n */\n\nbutton,\ninput { /* 1 */\n  overflow: visible;\n}\n\n/**\n * Remove the inheritance of text transform in Edge, Firefox, and IE.\n * 1. Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n  text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n  border-style: none;\n  padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n  outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n  padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n *    `fieldset` elements in all browsers.\n */\n\nlegend {\n  box-sizing: border-box; /* 1 */\n  color: inherit; /* 2 */\n  display: table; /* 1 */\n  max-width: 100%; /* 1 */\n  padding: 0; /* 3 */\n  white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n  vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n  overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n  box-sizing: border-box; /* 1 */\n  padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; /* 1 */\n  outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n  -webkit-appearance: button; /* 1 */\n  font: inherit; /* 2 */\n}\n\n/* Interactive\n   ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n  display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n  display: list-item;\n}\n\n/* Misc\n   ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n  display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n  display: none;\n}\n","// TODO: break this out into relevant files.\n\n// This is where the theming and coloring of all the elements is done. This file\n// needs to be broken out to let all the styles for each of the components live\n// with the rest of the component's styling.\n\nbody\n  color: var(--color-foreground-primary)\n  background: var(--color-background-primary)\n\n  ////////////////////////////////////////////////////////////////////////////////\n// Header\n////////////////////////////////////////////////////////////////////////////////\n.mobile-header\n  .header-center\n    a\n      color: var(--color-header-text)\n      text-decoration: none\n\n////////////////////////////////////////////////////////////////////////////////\n// Announcements\n////////////////////////////////////////////////////////////////////////////////\n.announcement\n  background-color: var(--color-announcement-background)\n  color: var(--color-announcement-text)\n\n  ////////////////////////////////////////////////////////////////////////////////\n// Sidebar\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-drawer\n  border-right: 1px solid var(--color-sidebar-background-border)\n  background: var(--color-sidebar-background)\n\n.sidebar-brand\n  color: var(--color-sidebar-brand-text)\n\n.sidebar-search-container\n  background: var(--color-sidebar-search-background)\n  &:hover,\n  &:focus-within\n    background: var(--color-sidebar-search-background--focus)\n\n  &::before\n    background-color: var(--color-sidebar-search-icon)\n    mask-image: var(--icon-search)\n\n.sidebar-search\n  border: none\n  border-top: 1px solid var(--color-sidebar-search-border)\n  border-bottom: 1px solid var(--color-sidebar-search-border)\n\n.sidebar-tree\n  .icon\n    color: var(--color-sidebar-link-text)\n  .reference\n    text-decoration: none // No need for underlines here.\n    color: var(--color-sidebar-link-text)\n    &:hover\n      background: var(--color-sidebar-item-background--hover)\n\n    &.external::after\n      // make sure the icon looks like other boring links\n      color: var(--color-sidebar-link-text)\n  .caption, .caption-text\n    color: var(--color-sidebar-caption-text)\n\n  // Colorize the top-level list items and icon.\n  .toctree-l1\n    & > .reference,\n    & > label .icon\n      color: var(--color-sidebar-link-text--top-level)\n\n  // Color changes on hover\n  label\n    background: var(--color-sidebar-item-expander-background)\n    &:hover\n      background: var(--color-sidebar-item-expander-background--hover)\n\n  .current > .reference\n    background: var(--color-sidebar-item-background--current)\n    &:hover\n      background: var(--color-sidebar-item-background--hover)\n\n\n////////////////////////////////////////////////////////////////////////////////\n// Table of contents\n////////////////////////////////////////////////////////////////////////////////\n.toc-drawer\n  background: var(--color-toc-background)\n\n.toc-title\n  color: var(--color-toc-title-text)\n\n.toc-tree\n  border-left: 1px solid var(--color-background-border)\n\n  .reference\n    text-decoration: none // No need for underlines here.\n    color: var(--color-toc-item-text)\n\n  .scroll-current > .reference\n    color: var(--color-toc-item-text--active)\n\n////////////////////////////////////////////////////////////////////////////////\n// Contents\n////////////////////////////////////////////////////////////////////////////////\narticle\n  color: var(--color-content-foreground)\n  background: var(--color-content-background)\n\na\n  text-decoration: underline\n\n  color: var(--color-link)\n  text-decoration-color: var(--color-link-underline)\n\n  &:hover\n    color: var(--color-link--hover)\n    text-decoration-color: var(--color-link-underline--hover)\n  &.muted-link\n    text-decoration: none\n    &:hover\n      text-decoration: underline\n      color: var(--color-link)\n      text-decoration-color: var(--color-link-underline)\n\n.problematic\n  color: var(--color-problematic)\n\n// For items that need to be hidden based on the active theme.\n.only-light\n  display: block !important\n.only-dark\n  display: none !important\n\n@media (prefers-color-scheme: dark)\n  .only-light\n    display: none !important\n  .only-dark\n    display: block !important\n","@import \"normalize.css\";\nbody {\n  color: var(--color-foreground-primary);\n  background: var(--color-background-primary);\n}\n\n.mobile-header .header-center a {\n  color: var(--color-header-text);\n  text-decoration: none;\n}\n\n.announcement {\n  background-color: var(--color-announcement-background);\n  color: var(--color-announcement-text);\n}\n\n.sidebar-drawer {\n  border-right: 1px solid var(--color-sidebar-background-border);\n  background: var(--color-sidebar-background);\n}\n\n.sidebar-brand {\n  color: var(--color-sidebar-brand-text);\n}\n\n.sidebar-search-container {\n  background: var(--color-sidebar-search-background);\n}\n.sidebar-search-container:hover, .sidebar-search-container:focus-within {\n  background: var(--color-sidebar-search-background--focus);\n}\n.sidebar-search-container::before {\n  background-color: var(--color-sidebar-search-icon);\n  mask-image: var(--icon-search);\n}\n\n.sidebar-search {\n  border: none;\n  border-top: 1px solid var(--color-sidebar-search-border);\n  border-bottom: 1px solid var(--color-sidebar-search-border);\n}\n\n.sidebar-tree .icon {\n  color: var(--color-sidebar-link-text);\n}\n.sidebar-tree .reference {\n  text-decoration: none;\n  color: var(--color-sidebar-link-text);\n}\n.sidebar-tree .reference:hover {\n  background: var(--color-sidebar-item-background--hover);\n}\n.sidebar-tree .reference.external::after {\n  color: var(--color-sidebar-link-text);\n}\n.sidebar-tree .caption, .sidebar-tree .caption-text {\n  color: var(--color-sidebar-caption-text);\n}\n.sidebar-tree .toctree-l1 > .reference, .sidebar-tree .toctree-l1 > label .icon {\n  color: var(--color-sidebar-link-text--top-level);\n}\n.sidebar-tree label {\n  background: var(--color-sidebar-item-expander-background);\n}\n.sidebar-tree label:hover {\n  background: var(--color-sidebar-item-expander-background--hover);\n}\n.sidebar-tree .current > .reference {\n  background: var(--color-sidebar-item-background--current);\n}\n.sidebar-tree .current > .reference:hover {\n  background: var(--color-sidebar-item-background--hover);\n}\n\n.toc-drawer {\n  background: var(--color-toc-background);\n}\n\n.toc-title {\n  color: var(--color-toc-title-text);\n}\n\n.toc-tree {\n  border-left: 1px solid var(--color-background-border);\n}\n.toc-tree .reference {\n  text-decoration: none;\n  color: var(--color-toc-item-text);\n}\n.toc-tree .scroll-current > .reference {\n  color: var(--color-toc-item-text--active);\n}\n\narticle {\n  color: var(--color-content-foreground);\n  background: var(--color-content-background);\n}\n\na {\n  text-decoration: underline;\n  color: var(--color-link);\n  text-decoration-color: var(--color-link-underline);\n}\na:hover {\n  color: var(--color-link--hover);\n  text-decoration-color: var(--color-link-underline--hover);\n}\na.muted-link {\n  text-decoration: none;\n}\na.muted-link:hover {\n  text-decoration: underline;\n  color: var(--color-link);\n  text-decoration-color: var(--color-link-underline);\n}\n\n.problematic {\n  color: var(--color-problematic);\n}\n\n.only-light {\n  display: block !important;\n}\n\n.only-dark {\n  display: none !important;\n}\n\n@media (prefers-color-scheme: dark) {\n  .only-light {\n    display: none !important;\n  }\n\n  .only-dark {\n    display: block !important;\n  }\n}\nhtml {\n  font-family: var(--font-stack);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--font-stack--monospace);\n}\n\nbody {\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n\narticle {\n  line-height: 1.5;\n}\n\nh1 {\n  font-size: 2.25rem;\n}\n\nh2 {\n  font-size: 1.75rem;\n}\n\nh3 {\n  font-size: 1.25rem;\n}\n\nh4 {\n  font-size: 1rem;\n}\n\nh5 {\n  font-size: 0.875rem;\n}\n\nh6 {\n  font-size: 0.75rem;\n}\n\nh1,\nh2 {\n  margin-top: 1.5rem;\n  margin-bottom: 1rem;\n  font-weight: 300;\n}\n\nh3 {\n  margin-top: 1.5rem;\n  margin-bottom: 0.75rem;\n  font-weight: 400;\n}\n\nh4,\nh5,\nh6 {\n  text-transform: uppercase;\n  margin-top: 1rem;\n  margin-bottom: 0.5rem;\n  font-weight: 700;\n}\n\np {\n  margin-top: 0.75rem;\n  margin-bottom: 0.75rem;\n}\n\nhr.docutils {\n  height: 1px;\n  padding: 0;\n  margin: 2rem 0;\n  background-color: var(--color-background-border);\n  border: 0;\n}\n\n.centered {\n  text-align: center;\n}\n\n:root {\n  --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n    sans-serif, Apple Color Emoji, Segoe UI Emoji;\n  --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n  --font-size--normal: 100%;\n  --font-size--small: 87.5%;\n  --font-size--small--2: 81.25%;\n  --font-size--small--3: 75%;\n  --font-size--small--4: 62.5%;\n  --sidebar-caption-font-size: var(--font-size--small--2);\n  --sidebar-item-font-size: var(--font-size--small);\n  --sidebar-search-input-font-size: var(--font-size--small);\n  --toc-font-size: var(--font-size--small--3);\n  --toc-font-size--mobile: var(--font-size--normal);\n  --toc-title-font-size: var(--font-size--small--4);\n  --admonition-font-size: 0.8125rem;\n  --admonition-title-font-size: 0.8125rem;\n  --code-font-size: var(--font-size--small--2);\n  --header-height: calc(\n    var(--sidebar-item-line-height) + 4 * var(--sidebar-item-spacing-vertical)\n  );\n  --sidebar-tree-space-above: 1.5rem;\n  --sidebar-caption-space-above: 1rem;\n  --sidebar-item-line-height: 1rem;\n  --sidebar-item-spacing-vertical: 0.5rem;\n  --sidebar-item-spacing-horizontal: 1rem;\n  --sidebar-item-height: calc(\n    var(--sidebar-item-line-height) + 2 *var(--sidebar-item-spacing-vertical)\n  );\n  --sidebar-expander-width: var(--sidebar-item-height);\n  --sidebar-search-space-above: 0.5rem;\n  --sidebar-search-input-spacing-vertical: 0.5rem;\n  --sidebar-search-input-spacing-horizontal: 0.5rem;\n  --sidebar-search-input-height: 1rem;\n  --sidebar-search-icon-size: var(--sidebar-search-input-height);\n  --toc-title-padding: 0.25rem 0;\n  --toc-spacing-vertical: 1.5rem;\n  --toc-spacing-horizontal: 1.5rem;\n  --toc-item-spacing-vertical: 0.4rem;\n  --toc-item-spacing-horizontal: 1rem;\n  --icon-search: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"currentColor\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><circle cx=\"10\" cy=\"10\" r=\"7\" /><line x1=\"21\" y1=\"21\" x2=\"15\" y2=\"15\" /></svg>');\n  --icon-pencil: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z\"/></svg>');\n  --icon-abstract: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M4 5h16v2H4V5m0 4h16v2H4V9m0 4h16v2H4v-2m0 4h10v2H4v-2z\"/></svg>');\n  --icon-info: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M13 9h-2V7h2m0 10h-2v-6h2m-1-9A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10A10 10 0 0012 2z\"/></svg>');\n  --icon-flame: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M17.55 11.2c-.23-.3-.5-.56-.76-.82-.65-.6-1.4-1.03-2.03-1.66C13.3 7.26 13 4.85 13.91 3c-.91.23-1.75.75-2.45 1.32-2.54 2.08-3.54 5.75-2.34 8.9.04.1.08.2.08.33 0 .22-.15.42-.35.5-.22.1-.46.04-.64-.12a.83.83 0 01-.15-.17c-1.1-1.43-1.28-3.48-.53-5.12C5.89 10 5 12.3 5.14 14.47c.04.5.1 1 .27 1.5.14.6.4 1.2.72 1.73 1.04 1.73 2.87 2.97 4.84 3.22 2.1.27 4.35-.12 5.96-1.6 1.8-1.66 2.45-4.32 1.5-6.6l-.13-.26c-.2-.46-.47-.87-.8-1.25l.05-.01m-3.1 6.3c-.28.24-.73.5-1.08.6-1.1.4-2.2-.16-2.87-.82 1.19-.28 1.89-1.16 2.09-2.05.17-.8-.14-1.46-.27-2.23-.12-.74-.1-1.37.18-2.06.17.38.37.76.6 1.06.76 1 1.95 1.44 2.2 2.8.04.14.06.28.06.43.03.82-.32 1.72-.92 2.27h.01z\"/></svg>');\n  --icon-question: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M15.07 11.25l-.9.92C13.45 12.89 13 13.5 13 15h-2v-.5c0-1.11.45-2.11 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41a2 2 0 00-2-2 2 2 0 00-2 2H8a4 4 0 014-4 4 4 0 014 4 3.2 3.2 0 01-.93 2.25M13 19h-2v-2h2M12 2A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10c0-5.53-4.5-10-10-10z\"/></svg>');\n  --icon-warning: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M13 14h-2v-4h2m0 8h-2v-2h2M1 21h22L12 2 1 21z\"/></svg>');\n  --icon-failure: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M12 2c5.53 0 10 4.47 10 10s-4.47 10-10 10S2 17.53 2 12 6.47 2 12 2m3.59 5L12 10.59 8.41 7 7 8.41 10.59 12 7 15.59 8.41 17 12 13.41 15.59 17 17 15.59 13.41 12 17 8.41 15.59 7z\"/></svg>');\n  --icon-spark: url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M11.5 20l4.86-9.73H13V4l-5 9.73h3.5V20M12 2c2.75 0 5.1 1 7.05 2.95C21 6.9 22 9.25 22 12s-1 5.1-2.95 7.05C17.1 21 14.75 22 12 22s-5.1-1-7.05-2.95C3 17.1 2 14.75 2 12s1-5.1 2.95-7.05C6.9 3 9.25 2 12 2z\"/></svg>');\n  --icon-admonition-default: var(--icon-abstract);\n  --color-problematic: #b30000;\n  --color-foreground-primary: black;\n  --color-foreground-secondary: #5a5c63;\n  --color-foreground-muted: #72747e;\n  --color-foreground-border: #878787;\n  --color-background-primary: white;\n  --color-background-secondary: #f8f9fb;\n  --color-background-hover: #efeff4ff;\n  --color-background-hover--transparent: #efeff400;\n  --color-background-border: #eeebee;\n  --color-announcement-background: #000000dd;\n  --color-announcement-text: #eeebee;\n  --color-brand-primary: #2962ff;\n  --color-brand-content: #2a5adf;\n  --color-api-overall: var(--color-foreground-muted);\n  --color-api-name: var(--color-brand-content);\n  --color-api-pre-name: var(--color-brand-content);\n  --color-api-paren: var(--color-foreground-secondary);\n  --color-api-keyword: var(--color-problematic);\n  --color-api-highlight-on-target: #ffffcc;\n  --color-inline-code-background: var(--color-background-secondary);\n  --color-highlighted-background: #ddeeff;\n  --color-highlighted-text: var(--color-foreground-primary);\n  --color-guilabel-background: #ddeeff80;\n  --color-guilabel-border: #bedaf580;\n  --color-guilabel-text: var(--color-foreground-primary);\n  --color-admonition-background: transparent;\n  --color-admonition-title: #651fff;\n  --color-admonition-title-background: rgba(101, 31, 255, 0.1);\n  --color-admonition-title--caution: #ff9100;\n  --color-admonition-title-background--caution: rgba(255, 145, 0, 0.1);\n  --color-admonition-title--warning: #ff9100;\n  --color-admonition-title-background--warning: rgba(255, 145, 0, 0.1);\n  --color-admonition-title--danger: #ff5252;\n  --color-admonition-title-background--danger: rgba(255, 82, 82, 0.1);\n  --color-admonition-title--attention: #ff5252;\n  --color-admonition-title-background--attention: rgba(255, 82, 82, 0.1);\n  --color-admonition-title--error: #ff5252;\n  --color-admonition-title-background--error: rgba(255, 82, 82, 0.1);\n  --color-admonition-title--hint: #00c852;\n  --color-admonition-title-background--hint: rgba(0, 200, 82, 0.1);\n  --color-admonition-title--important: #00bfa5;\n  --color-admonition-title-background--important: rgba(0, 191, 165, 0.1);\n  --color-admonition-title--note: #00b0ff;\n  --color-admonition-title-background--note: rgba(0, 176, 255, 0.1);\n  --color-admonition-title--seealso: #448aff;\n  --color-admonition-title-background--seealso: rgba(68, 138, 255, 0.1);\n  --color-admonition-title--tip: #00c852;\n  --color-admonition-title-background--tip: rgba(0, 200, 82, 0.1);\n  --color-admonition-title--admonition-todo: #808080;\n  --color-admonition-title-background--admonition-todo: rgba(128, 128, 128, 0.1);\n  --color-header-background: var(--color-background-primary);\n  --color-header-border: var(--color-background-border);\n  --color-header-text: var(--color-foreground-primary);\n  --color-sidebar-background: var(--color-background-secondary);\n  --color-sidebar-background-border: var(--color-background-border);\n  --color-sidebar-brand-text: var(--color-foreground-primary);\n  --color-sidebar-caption-text: var(--color-foreground-muted);\n  --color-sidebar-link-text: var(--color-foreground-secondary);\n  --color-sidebar-link-text--top-level: var(--color-brand-primary);\n  --color-sidebar-item-background: var(--color-sidebar-background);\n  --color-sidebar-item-background--current: var(\n    --color-sidebar-item-background\n  );\n  --color-sidebar-item-background--hover: linear-gradient(\n    90deg,\n    var(--color-background-hover--transparent) 0%,\n    var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n    var(--color-background-hover) 100%\n  );\n  --color-sidebar-item-expander-background: transparent;\n  --color-sidebar-item-expander-background--hover: var(\n    --color-background-hover\n  );\n  --color-sidebar-search-text: var(--color-foreground-primary);\n  --color-sidebar-search-background: var(--color-background-secondary);\n  --color-sidebar-search-background--focus: var(--color-background-primary);\n  --color-sidebar-search-border: var(--color-background-border);\n  --color-sidebar-search-icon: var(--color-foreground-muted);\n  --color-toc-background: var(--color-background-primary);\n  --color-toc-title-text: var(--color-foreground-muted);\n  --color-toc-item-text: var(--color-foreground-secondary);\n  --color-toc-item-text--hover: var(--color-foreground-primary);\n  --color-toc-item-text--active: var(--color-brand-primary);\n  --color-content-foreground: var(--color-foreground-primary);\n  --color-content-background: transparent;\n  --color-link: var(--color-brand-content);\n  --color-link--hover: var(--color-brand-content);\n  --color-link-underline: var(--color-background-border);\n  --color-link-underline--hover: var(--color-foreground-border);\n}\n\n@media (prefers-color-scheme: dark) {\n  :root {\n    --color-problematic: #e25050;\n    --color-foreground-primary: #ffffffd9;\n    --color-foreground-secondary: #9ca0a5;\n    --color-foreground-muted: #81868d;\n    --color-foreground-border: #666666;\n    --color-background-primary: #131416;\n    --color-background-secondary: #1a1c1e;\n    --color-background-hover: #1e2124ff;\n    --color-background-hover--transparent: #1e212400;\n    --color-background-border: #303335;\n    --color-announcement-background: #000000dd;\n    --color-announcement-text: #eeebee;\n    --color-brand-primary: #2b8cee;\n    --color-brand-content: #368ce2;\n    --color-highlighted-background: #083563;\n    --color-guilabel-background: #08356380;\n    --color-guilabel-border: #13395f80;\n    --color-api-highlight-on-target: #333300;\n    --color-admonition-background: #18181a;\n  }\n}\nhtml {\n  overflow-x: hidden;\n  overflow-y: scroll;\n}\n\n:not(html):not(body) {\n  scrollbar-width: thin;\n  scrollbar-color: var(--color-foreground-border) transparent;\n}\n:not(html):not(body)::-webkit-scrollbar {\n  width: 0.25rem;\n  height: 0.25rem;\n}\n:not(html):not(body)::-webkit-scrollbar-thumb {\n  background-color: var(--color-foreground-border);\n  border-radius: 0.125rem;\n}\n\nhtml,\nbody {\n  height: 100%;\n}\n\n.page {\n  display: flex;\n  min-height: 100%;\n}\n\n.mobile-header {\n  width: 100%;\n  height: var(--header-height);\n  background-color: var(--color-header-background);\n  color: var(--color-header-text);\n  border-bottom: 1px solid var(--color-header-border);\n  z-index: 10;\n  display: none;\n}\n.mobile-header.scrolled {\n  border-bottom: none;\n  box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2);\n}\n\n.main {\n  display: flex;\n  flex: 1;\n}\n\n.sidebar-drawer {\n  box-sizing: border-box;\n  display: flex;\n  justify-content: flex-end;\n  width: calc((100% - 82em) / 2 + 15em);\n  min-width: 15em;\n}\n\n.sidebar-container,\n.toc-drawer {\n  box-sizing: border-box;\n  width: 15em;\n}\n\n.toc-drawer {\n  padding-right: 1rem;\n}\n\n.sidebar-sticky,\n.toc-sticky {\n  position: sticky;\n  top: 0;\n  height: min(100%, 100vh);\n  height: 100vh;\n  display: flex;\n  flex-direction: column;\n}\n\n.sidebar-scroll,\n.toc-scroll {\n  flex-shrink: 1;\n  overflow: auto;\n  scroll-behavior: smooth;\n}\n\n.content {\n  padding: 0 3em;\n  width: 46em;\n  display: flex;\n  flex-direction: column;\n  justify-content: space-between;\n}\n\n.icon {\n  display: inline-block;\n  height: 1rem;\n  width: 1rem;\n}\n.icon svg {\n  width: 100%;\n  height: 100%;\n}\n\n.announcement {\n  height: var(--header-height);\n  display: flex;\n  align-items: center;\n  overflow-x: auto;\n}\n.announcement + .page {\n  min-height: calc(100% - var(--header-height));\n}\n\n.announcement-content {\n  box-sizing: border-box;\n  padding: 0.5rem;\n  min-width: 100%;\n  white-space: nowrap;\n  text-align: center;\n}\n\n.toc-overlay-icon, .nav-overlay-icon {\n  display: none;\n  cursor: pointer;\n}\n.toc-overlay-icon .icon, .nav-overlay-icon .icon {\n  color: var(--color-foreground-secondary);\n  height: 1.25rem;\n  width: 1.25rem;\n}\n\n.toc-header-icon, .nav-overlay-icon {\n  justify-content: center;\n  align-items: center;\n}\n\n.toc-content-icon {\n  height: 1.5rem;\n  width: 1.5rem;\n  margin-top: 1.5rem;\n  float: right;\n}\n\n.sidebar-toggle {\n  position: absolute;\n  display: none;\n}\n\n.sidebar-toggle[name=__toc] {\n  left: 20px;\n}\n\n.sidebar-toggle:checked {\n  left: 40px;\n}\n\n.overlay {\n  position: fixed;\n  top: 0;\n  width: 0;\n  height: 0;\n  transition: width 0ms, height 0ms, opacity 250ms ease-out;\n  opacity: 0;\n  background-color: rgba(0, 0, 0, 0.54);\n}\n\n.sidebar-overlay {\n  z-index: 20;\n}\n\n.toc-overlay {\n  z-index: 40;\n}\n\n.sidebar-drawer {\n  z-index: 30;\n  transition: left 250ms ease-in-out;\n}\n\n.toc-drawer {\n  z-index: 50;\n  transition: right 250ms ease-in-out;\n}\n\n#__navigation:checked ~ .sidebar-overlay {\n  width: 100%;\n  height: 100%;\n  opacity: 1;\n}\n#__navigation:checked ~ .page .sidebar-drawer {\n  top: 0;\n  left: 0;\n}\n\n#__toc:checked ~ .toc-overlay {\n  width: 100%;\n  height: 100%;\n  opacity: 1;\n}\n#__toc:checked ~ .page .toc-drawer {\n  top: 0;\n  right: 0;\n}\n\n@media (min-width: 97em) {\n  html {\n    font-size: 110%;\n  }\n}\n@media (max-width: 82em) {\n  .toc-content-icon {\n    display: flex;\n  }\n\n  .toc-drawer {\n    position: fixed;\n    height: 100vh;\n    top: 0;\n    right: -15em;\n    border-left: 1px solid var(--color-background-muted);\n  }\n\n  .toc-tree {\n    border-left: none;\n    font-size: var(--toc-font-size--mobile);\n  }\n\n  .sidebar-drawer {\n    width: calc((100% - 67em) / 2 + 15em);\n  }\n}\n@media (max-width: 67em) {\n  .nav-overlay-icon {\n    display: flex;\n  }\n\n  .sidebar-drawer {\n    position: fixed;\n    height: 100vh;\n    width: 15em;\n    top: 0;\n    left: -15em;\n  }\n\n  .toc-header-icon {\n    display: flex;\n  }\n\n  .toc-content-icon {\n    display: none;\n  }\n\n  .mobile-header {\n    position: sticky;\n    top: 0;\n    display: flex;\n    justify-content: space-between;\n    align-items: center;\n  }\n  .mobile-header .header-left,\n.mobile-header .header-right {\n    display: flex;\n    height: var(--header-height);\n    width: var(--header-height);\n  }\n  .mobile-header .header-left label,\n.mobile-header .header-right label {\n    height: 100%;\n    width: 100%;\n  }\n\n  :target {\n    scroll-margin-top: var(--header-height);\n  }\n\n  .page {\n    flex-direction: column;\n    justify-content: center;\n  }\n\n  .content {\n    margin-left: auto;\n    margin-right: auto;\n  }\n}\n@media (max-width: 52em) {\n  .content {\n    width: 100%;\n    overflow-x: auto;\n  }\n}\n@media (max-width: 46em) {\n  .content {\n    padding: 0 1em;\n  }\n\n  article div.sidebar {\n    float: none;\n    width: 100%;\n    margin: 1rem 0;\n  }\n}\n.admonition {\n  margin: 1rem auto;\n  padding: 0 0.5rem 0.5rem 0.5rem;\n  background: var(--color-admonition-background);\n  border-radius: 0.2rem;\n  border-left: 0.2rem solid var(--color-admonition-title);\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1);\n  font-size: var(--admonition-font-size);\n  overflow: hidden;\n  page-break-inside: avoid;\n}\n.admonition > :nth-child(2) {\n  margin-top: 0;\n}\n.admonition > :last-child {\n  margin-bottom: 0;\n}\n.admonition p.admonition-title {\n  position: relative;\n  margin: 0 -0.5rem 0.5rem;\n  padding: 0.5rem 0.5rem 0.5rem 2rem;\n  font-weight: 500;\n  font-size: var(--admonition-title-font-size);\n  background-color: var(--color-admonition-title-background);\n  line-height: 1.3;\n}\n.admonition p.admonition-title::before {\n  content: \"\";\n  position: absolute;\n  left: 0.5rem;\n  width: 1rem;\n  height: 1rem;\n  background-color: var(--color-admonition-title);\n  mask-image: var(--icon-admonition-default);\n  mask-repeat: no-repeat;\n}\n.admonition.caution {\n  border-left-color: var(--color-admonition-title--caution);\n}\n.admonition.caution > .admonition-title {\n  background-color: var(--color-admonition-title-background--caution);\n}\n.admonition.caution > .admonition-title::before {\n  background-color: var(--color-admonition-title--caution);\n  mask-image: var(--icon-spark);\n}\n.admonition.warning {\n  border-left-color: var(--color-admonition-title--warning);\n}\n.admonition.warning > .admonition-title {\n  background-color: var(--color-admonition-title-background--warning);\n}\n.admonition.warning > .admonition-title::before {\n  background-color: var(--color-admonition-title--warning);\n  mask-image: var(--icon-warning);\n}\n.admonition.danger {\n  border-left-color: var(--color-admonition-title--danger);\n}\n.admonition.danger > .admonition-title {\n  background-color: var(--color-admonition-title-background--danger);\n}\n.admonition.danger > .admonition-title::before {\n  background-color: var(--color-admonition-title--danger);\n  mask-image: var(--icon-spark);\n}\n.admonition.attention {\n  border-left-color: var(--color-admonition-title--attention);\n}\n.admonition.attention > .admonition-title {\n  background-color: var(--color-admonition-title-background--attention);\n}\n.admonition.attention > .admonition-title::before {\n  background-color: var(--color-admonition-title--attention);\n  mask-image: var(--icon-warning);\n}\n.admonition.error {\n  border-left-color: var(--color-admonition-title--error);\n}\n.admonition.error > .admonition-title {\n  background-color: var(--color-admonition-title-background--error);\n}\n.admonition.error > .admonition-title::before {\n  background-color: var(--color-admonition-title--error);\n  mask-image: var(--icon-failure);\n}\n.admonition.hint {\n  border-left-color: var(--color-admonition-title--hint);\n}\n.admonition.hint > .admonition-title {\n  background-color: var(--color-admonition-title-background--hint);\n}\n.admonition.hint > .admonition-title::before {\n  background-color: var(--color-admonition-title--hint);\n  mask-image: var(--icon-question);\n}\n.admonition.important {\n  border-left-color: var(--color-admonition-title--important);\n}\n.admonition.important > .admonition-title {\n  background-color: var(--color-admonition-title-background--important);\n}\n.admonition.important > .admonition-title::before {\n  background-color: var(--color-admonition-title--important);\n  mask-image: var(--icon-flame);\n}\n.admonition.note {\n  border-left-color: var(--color-admonition-title--note);\n}\n.admonition.note > .admonition-title {\n  background-color: var(--color-admonition-title-background--note);\n}\n.admonition.note > .admonition-title::before {\n  background-color: var(--color-admonition-title--note);\n  mask-image: var(--icon-pencil);\n}\n.admonition.seealso {\n  border-left-color: var(--color-admonition-title--seealso);\n}\n.admonition.seealso > .admonition-title {\n  background-color: var(--color-admonition-title-background--seealso);\n}\n.admonition.seealso > .admonition-title::before {\n  background-color: var(--color-admonition-title--seealso);\n  mask-image: var(--icon-info);\n}\n.admonition.tip {\n  border-left-color: var(--color-admonition-title--tip);\n}\n.admonition.tip > .admonition-title {\n  background-color: var(--color-admonition-title-background--tip);\n}\n.admonition.tip > .admonition-title::before {\n  background-color: var(--color-admonition-title--tip);\n  mask-image: var(--icon-info);\n}\n.admonition.admonition-todo {\n  border-left-color: var(--color-admonition-title--admonition-todo);\n}\n.admonition.admonition-todo > .admonition-title {\n  background-color: var(--color-admonition-title-background--admonition-todo);\n}\n.admonition.admonition-todo > .admonition-title::before {\n  background-color: var(--color-admonition-title--admonition-todo);\n  mask-image: var(--icon-pencil);\n}\n\n.admonition-todo > .admonition-title {\n  text-transform: uppercase;\n}\n\ndl.py dd, dl.cpp dd, dl.c dd, dl.js dd {\n  margin-left: 2rem;\n}\ndl.py dd > :first-child, dl.cpp dd > :first-child, dl.c dd > :first-child, dl.js dd > :first-child {\n  margin-top: 0.125rem;\n}\ndl.py dd > :last-child, dl.cpp dd > :last-child, dl.c dd > :last-child, dl.js dd > :last-child {\n  margin-bottom: 1.25rem;\n}\ndl.py .field-list, dl.cpp .field-list, dl.c .field-list, dl.js .field-list {\n  margin-bottom: 0.75rem;\n}\ndl.py .field-list dt, dl.cpp .field-list dt, dl.c .field-list dt, dl.js .field-list dt {\n  text-transform: uppercase;\n  font-size: var(--font-size--small);\n}\ndl.py .field-list dd:empty, dl.cpp .field-list dd:empty, dl.c .field-list dd:empty, dl.js .field-list dd:empty {\n  margin-bottom: 0.5rem;\n}\ndl.py .field-list dd > ul, dl.cpp .field-list dd > ul, dl.c .field-list dd > ul, dl.js .field-list dd > ul {\n  margin-left: -1.2rem;\n}\ndl.py .field-list dd > ul > li > p:nth-child(2), dl.cpp .field-list dd > ul > li > p:nth-child(2), dl.c .field-list dd > ul > li > p:nth-child(2), dl.js .field-list dd > ul > li > p:nth-child(2) {\n  margin-top: 0;\n}\ndl.py .field-list dd > ul > li > p + p:last-child:empty, dl.cpp .field-list dd > ul > li > p + p:last-child:empty, dl.c .field-list dd > ul > li > p + p:last-child:empty, dl.js .field-list dd > ul > li > p + p:last-child:empty {\n  margin-top: 0;\n  margin-bottom: 0;\n}\ndl.py > dt, dl.cpp > dt, dl.c > dt, dl.js > dt {\n  color: var(--color-api-overall);\n}\ndl.py > dt:target, dl.cpp > dt:target, dl.c > dt:target, dl.js > dt:target {\n  background-color: var(--color-api-highlight-on-target);\n}\n\ndl.class > dt,\ndl.function > dt,\ndl.method > dt,\ndl.enum > dt,\ndl.enum-class > dt,\ndl.enum-struct > dt,\ndl.type > dt,\ndl.exception > dt {\n  padding-left: 3em;\n  text-indent: -3em;\n}\ndl.class > dt .property,\ndl.function > dt .property,\ndl.method > dt .property,\ndl.enum > dt .property,\ndl.enum-class > dt .property,\ndl.enum-struct > dt .property,\ndl.type > dt .property,\ndl.exception > dt .property {\n  color: var(--color-api-keyword);\n  padding-right: 0.25rem;\n}\ndl.class > dt a.reference.internal .viewcode-link,\ndl.function > dt a.reference.internal .viewcode-link,\ndl.method > dt a.reference.internal .viewcode-link,\ndl.enum > dt a.reference.internal .viewcode-link,\ndl.enum-class > dt a.reference.internal .viewcode-link,\ndl.enum-struct > dt a.reference.internal .viewcode-link,\ndl.type > dt a.reference.internal .viewcode-link,\ndl.exception > dt a.reference.internal .viewcode-link {\n  width: 3.5rem;\n  font-size: var(--font-size--small);\n}\n\n.sig-name {\n  font-weight: bold;\n  color: var(--color-api-name);\n}\n\n.sig-prename {\n  color: var(--color-api-pre-name);\n}\n\n.sig-paren {\n  color: var(--color-api-paren);\n}\n\n.sig-param {\n  font-style: normal;\n}\n\n.versionmodified {\n  font-style: italic;\n}\n\ndiv.versionadded p, div.versionchanged p, div.deprecated p {\n  margin-top: 0.125rem;\n  margin-bottom: 0.125rem;\n}\n\n.viewcode-link, .viewcode-back {\n  float: right;\n  text-align: right;\n}\n\narticle p.caption,\ntable > caption,\n.code-block-caption {\n  font-size: var(--font-size--small);\n  text-align: center;\n}\n\n.toctree-wrapper.compound .caption, .toctree-wrapper.compound :not(.caption) > .caption-text {\n  font-size: var(--font-size--small);\n  text-transform: uppercase;\n  text-align: initial;\n  margin-bottom: 0;\n}\n.toctree-wrapper.compound > ul {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\ncode.literal {\n  background: var(--color-inline-code-background);\n  border-radius: 0.2em;\n  font-size: var(--font-size--small--2);\n  padding: 0.1em 0.2em;\n}\n\narticle div[class*=\" highlight-\"],\narticle div[class^=highlight-] {\n  margin: 1em 0;\n  display: flex;\n}\n\npre {\n  margin: 0;\n  padding: 0;\n}\narticle pre {\n  line-height: 1.5;\n}\npre.literal-block, .highlight pre {\n  font-size: var(--code-font-size);\n  padding: 0.625rem 0.875rem;\n  overflow: auto;\n}\npre.literal-block {\n  margin-top: 1rem;\n  margin-bottom: 1rem;\n  border-radius: 0.2rem;\n  background-color: var(--color-code-background);\n  color: var(--color-code-foreground);\n}\n\n.highlight {\n  width: 100%;\n  border-radius: 0.2rem;\n}\n\n.highlighttable {\n  width: 100%;\n  display: block;\n}\n.highlighttable tbody {\n  display: block;\n}\n.highlighttable tr {\n  display: flex;\n}\n.highlighttable td.linenos {\n  background-color: var(--color-code-background);\n  color: var(--color-code-foreground);\n  padding: 0.625rem 0.875rem;\n  padding-right: 0;\n  border-top-left-radius: 0.2rem;\n  border-bottom-left-radius: 0.2rem;\n}\n.highlighttable .linenodiv {\n  font-size: var(--code-font-size);\n  padding-right: 0.5rem;\n  box-shadow: -0.0625rem 0 var(--color-code-foreground) inset;\n  opacity: 0.5;\n}\n.highlighttable td.code {\n  padding: 0;\n  display: block;\n  flex: 1;\n  overflow: hidden;\n}\n.highlighttable td.code .highlight {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n\n.footnote-reference {\n  font-size: var(--font-size--small--4);\n  vertical-align: super;\n}\n\ndl.footnote {\n  font-size: var(--font-size--small);\n  color: var(--color-foreground-secondary);\n  display: grid;\n  grid-template-columns: max-content auto;\n}\ndl.footnote dt {\n  margin: 0;\n}\ndl.footnote dt > .fn-backref {\n  margin-left: 0.25rem;\n}\ndl.footnote dt:after {\n  content: \":\";\n}\ndl.footnote dt .brackets:before {\n  content: \"[\";\n}\ndl.footnote dt .brackets:after {\n  content: \"]\";\n}\n\nimg {\n  box-sizing: border-box;\n  max-width: 100%;\n  height: auto;\n}\n\narticle figure, article .figure {\n  border-radius: 0.2rem;\n  margin: 0;\n}\narticle figure :last-child, article .figure :last-child {\n  margin-bottom: 0;\n}\narticle .align-left {\n  float: left;\n  clear: left;\n  margin: 0 1rem 1rem;\n}\narticle .align-right {\n  float: right;\n  clear: right;\n  margin: 0 1rem 1rem;\n}\narticle .align-default,\narticle .align-center {\n  display: block;\n  text-align: center;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.genindex-jumpbox, .domainindex-jumpbox {\n  border-top: 1px solid var(--color-background-border);\n  border-bottom: 1px solid var(--color-background-border);\n  padding: 0.25rem;\n}\n\n.genindex-section h2, .domainindex-section h2 {\n  margin-top: 0.75rem;\n  margin-bottom: 0.5rem;\n}\n.genindex-section ul, .domainindex-section ul {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\nul,\nol {\n  padding-left: 1.2rem;\n  margin-top: 1rem;\n  margin-bottom: 1rem;\n}\nul li > p:first-child,\nol li > p:first-child {\n  margin-top: 0.25rem;\n  margin-bottom: 0.25rem;\n}\nul li > p:last-child,\nol li > p:last-child {\n  margin-top: 0.25rem;\n}\nul li > ul,\nul li > ol,\nol li > ul,\nol li > ol {\n  margin-top: 0.5rem;\n  margin-bottom: 0.5rem;\n}\n\n.simple li > ul,\n.simple li > ol,\n.toctree-wrapper li > ul,\n.toctree-wrapper li > ol {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.field-list dt,\n.option-list dt,\ndl:not([class]) dt,\ndl.simple dt,\ndl.footnote dt,\ndl.glossary dt {\n  font-weight: 500;\n  margin-top: 0.25rem;\n}\n.field-list dt + dt,\n.option-list dt + dt,\ndl:not([class]) dt + dt,\ndl.simple dt + dt,\ndl.footnote dt + dt,\ndl.glossary dt + dt {\n  margin-top: 0;\n}\n.field-list dt .classifier::before,\n.option-list dt .classifier::before,\ndl:not([class]) dt .classifier::before,\ndl.simple dt .classifier::before,\ndl.footnote dt .classifier::before,\ndl.glossary dt .classifier::before {\n  content: \":\";\n  margin-left: 0.2rem;\n  margin-right: 0.2rem;\n}\n.field-list dd > p:first-child,\n.field-list dd ul,\n.option-list dd > p:first-child,\n.option-list dd ul,\ndl:not([class]) dd > p:first-child,\ndl:not([class]) dd ul,\ndl.simple dd > p:first-child,\ndl.simple dd ul,\ndl.footnote dd > p:first-child,\ndl.footnote dd ul,\ndl.glossary dd > p:first-child,\ndl.glossary dd ul {\n  margin-top: 0.125rem;\n}\n.field-list dd ul,\n.option-list dd ul,\ndl:not([class]) dd ul,\ndl.simple dd ul,\ndl.footnote dd ul,\ndl.glossary dd ul {\n  margin-bottom: 0.125rem;\n}\n\n.math-wrapper {\n  width: 100%;\n  overflow-x: auto;\n}\n\nabbr[title] {\n  cursor: help;\n}\n\nkbd:not(.compound) {\n  margin: 0 0.2rem;\n  padding: 0 0.2rem;\n  border-radius: 0.2rem;\n  border: 1px solid var(--color-foreground-border);\n  color: var(--color-foreground-primary);\n  vertical-align: text-bottom;\n  font-size: var(--font-size--small--3);\n  display: inline-block;\n  box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary);\n  background-color: var(--color-background-secondary);\n}\n\nblockquote {\n  border-left: 1px solid var(--color-foreground-border);\n  font-style: italic;\n  margin-left: 0.5rem;\n  margin-right: 0.5rem;\n  padding: 0.5rem 1rem;\n}\n\n.reference img {\n  vertical-align: middle;\n}\n\nh1 > .headerlink,\nh2 > .headerlink,\nh3 > .headerlink,\nh4 > .headerlink,\nh5 > .headerlink,\nh6 > .headerlink,\ndl dt > .headerlink,\np.caption > .headerlink,\ntable > caption > .headerlink,\n.code-block-caption > .headerlink {\n  font-weight: 100;\n  margin-left: 0.5rem;\n  visibility: hidden;\n  text-decoration: none;\n}\nh1:hover > .headerlink,\nh2:hover > .headerlink,\nh3:hover > .headerlink,\nh4:hover > .headerlink,\nh5:hover > .headerlink,\nh6:hover > .headerlink,\ndl dt:hover > .headerlink,\np.caption:hover > .headerlink,\ntable > caption:hover > .headerlink,\n.code-block-caption:hover > .headerlink {\n  visibility: visible;\n}\n\n:target > h1:first-child > .headerlink,\n:target > h2:first-child > .headerlink,\n:target > h3:first-child > .headerlink,\n:target > h4:first-child > .headerlink,\n:target > h5:first-child > .headerlink,\n:target > h6:first-child > .headerlink {\n  visibility: visible;\n}\n\np.rubric {\n  text-transform: uppercase;\n  font-size: var(--font-size--small);\n}\n\narticle .sidebar {\n  float: right;\n  clear: right;\n  width: 30%;\n  margin-left: 1rem;\n  margin-right: 0;\n  border-radius: 0.2rem;\n  background-color: var(--color-background-secondary);\n  border: var(--color-background-border) 1px solid;\n}\narticle .sidebar > * {\n  padding-left: 1rem;\n  padding-right: 1rem;\n}\narticle .sidebar > ul, article .sidebar > ol {\n  padding-left: 2.2rem;\n}\narticle .sidebar .sidebar-title {\n  margin: 0;\n  padding: 0.5rem 1rem;\n  border-bottom: var(--color-background-border) 1px solid;\n  font-weight: 500;\n}\n\n.table-wrapper {\n  width: 100%;\n  overflow-x: auto;\n  margin-top: 1rem;\n  margin-bottom: 0.5rem;\n  padding: 0.2rem 0.2rem 0.75rem;\n}\n\ntable.docutils {\n  border-radius: 0.2rem;\n  border-spacing: 0;\n  border-collapse: collapse;\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1);\n}\ntable.docutils th {\n  background: var(--color-background-secondary);\n}\ntable.docutils td,\ntable.docutils th {\n  padding: 0 0.25rem;\n  border-left: 1px solid var(--color-background-border);\n  border-right: 1px solid var(--color-background-border);\n  border-bottom: 1px solid var(--color-background-border);\n}\ntable.docutils td p,\ntable.docutils th p {\n  margin: 0.25rem;\n}\ntable.docutils td:first-child,\ntable.docutils th:first-child {\n  border-left: none;\n}\ntable.docutils td:last-child,\ntable.docutils th:last-child {\n  border-right: none;\n}\n\n.guilabel {\n  background-color: var(--color-guilabel-background);\n  border: 1px solid var(--color-guilabel-border);\n  color: var(--color-guilabel-text);\n  padding: 0 0.3em;\n  border-radius: 0.5em;\n  font-size: 0.9em;\n}\n\nfooter {\n  font-size: var(--font-size--small);\n  display: flex;\n  flex-direction: column;\n  margin-top: 2rem;\n}\n\n.related-information {\n  margin-top: 1rem;\n  padding: 0.75rem;\n  padding-bottom: 1rem;\n  border-top: 1px solid var(--color-background-border);\n  line-height: 1.5;\n  color: var(--color-foreground-secondary);\n}\n\n.related-pages a {\n  display: flex;\n  align-items: center;\n  text-decoration: none;\n}\n.related-pages a:hover .page-info .title {\n  text-decoration: underline;\n  color: var(--color-link);\n  text-decoration-color: var(--color-link-underline);\n}\n.related-pages a svg,\n.related-pages a svg > use {\n  flex-shrink: 0;\n  color: var(--color-foreground-border);\n  width: 0.75rem;\n  height: 0.75rem;\n  margin: 0 0.5rem;\n}\n.related-pages a.next-page {\n  max-width: 50%;\n  float: right;\n  clear: right;\n  text-align: right;\n}\n.related-pages a.prev-page {\n  max-width: 50%;\n  float: left;\n  clear: left;\n}\n.related-pages a.prev-page svg {\n  transform: rotate(180deg);\n}\n\n.page-info {\n  display: flex;\n  flex-direction: column;\n}\n.next-page .page-info {\n  align-items: flex-end;\n}\n.page-info .context {\n  display: flex;\n  align-items: center;\n  padding-bottom: 0.1rem;\n  color: var(--color-foreground-muted);\n  font-size: var(--font-size--small);\n  text-decoration: none;\n}\n\nul.search {\n  padding-left: 0;\n  list-style: none;\n}\nul.search li {\n  padding: 1rem 0;\n  border-bottom: 1px solid var(--color-background-border);\n}\n\n.highlighted {\n  background-color: var(--color-highlighted-background);\n  color: var(--color-highlighted-text);\n}\n\n.sidebar-brand {\n  display: flex;\n  flex-direction: column;\n  flex-shrink: 0;\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n  text-decoration: none;\n}\n\n.sidebar-brand-text {\n  overflow-wrap: break-word;\n  margin: var(--sidebar-item-spacing-vertical) 0;\n  font-size: 1.5rem;\n}\n\n.sidebar-logo-container {\n  margin: var(--sidebar-item-spacing-vertical) 0;\n}\n\n.sidebar-logo {\n  margin: 0 auto;\n  display: block;\n  max-width: 100%;\n}\n\n.sidebar-search-container {\n  display: flex;\n  align-items: center;\n  margin-top: var(--sidebar-search-space-above);\n  position: relative;\n}\n.sidebar-search-container::before {\n  content: \"\";\n  position: absolute;\n  left: var(--sidebar-item-spacing-horizontal);\n  width: var(--sidebar-search-icon-size);\n  height: var(--sidebar-search-icon-size);\n}\n\n.sidebar-search {\n  box-sizing: border-box;\n  padding-top: var(--sidebar-search-input-spacing-vertical);\n  padding-bottom: var(--sidebar-search-input-spacing-vertical);\n  padding-right: var(--sidebar-search-input-spacing-horizontal);\n  padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size));\n  width: 100%;\n  color: var(--color-sidebar-search-foreground);\n  background: transparent;\n  z-index: 10;\n}\n.sidebar-search:focus {\n  outline: none;\n}\n.sidebar-search::placeholder {\n  font-size: var(--sidebar-search-input-font-size);\n}\n\n.sidebar-tree {\n  font-size: var(--sidebar-item-font-size);\n  margin-top: var(--sidebar-tree-space-above);\n  margin-bottom: var(--sidebar-item-spacing-vertical);\n}\n.sidebar-tree ul {\n  padding: 0;\n  margin-top: 0;\n  margin-bottom: 0;\n  display: flex;\n  flex-direction: column;\n  list-style: none;\n}\n.sidebar-tree li {\n  position: relative;\n  margin: 0;\n}\n.sidebar-tree li > ul {\n  margin-left: var(--sidebar-item-spacing-horizontal);\n}\n.sidebar-tree .reference {\n  box-sizing: border-box;\n  display: inline-block;\n  line-height: var(--sidebar-item-line-height);\n  height: 100%;\n  width: 100%;\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n}\n.sidebar-tree .reference.external::after {\n  content: url('data:image/svg+xml,<svg width=\"12\" height=\"12\" xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"%23607D8B\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><path d=\"M11 7h-5a2 2 0 0 0 -2 2v9a2 2 0 0 0 2 2h9a2 2 0 0 0 2 -2v-5\" /><line x1=\"10\" y1=\"14\" x2=\"20\" y2=\"4\" /><polyline points=\"15 4 20 4 20 9\" /></svg>');\n  margin: 0 0.25rem;\n  vertical-align: middle;\n}\n.sidebar-tree .current-page > .reference {\n  font-weight: bold;\n}\n.sidebar-tree label {\n  position: absolute;\n  top: 0;\n  right: 0;\n  height: var(--sidebar-item-height);\n  width: var(--sidebar-expander-width);\n  cursor: pointer;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n}\n.sidebar-tree .caption, .sidebar-tree :not(.caption) > .caption-text {\n  font-size: var(--sidebar-caption-font-size);\n  font-weight: bold;\n  text-transform: uppercase;\n  margin: var(--sidebar-caption-space-above) 0 0 0;\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal);\n}\n.sidebar-tree li.has-children > .reference {\n  padding-right: var(--sidebar-expander-width);\n}\n\n.toctree-checkbox {\n  position: absolute;\n  display: none;\n}\n\n.toctree-checkbox ~ ul {\n  display: none;\n}\n.toctree-checkbox ~ label .icon svg {\n  transform: rotate(90deg);\n}\n\n.toctree-checkbox:checked ~ ul {\n  display: block;\n}\n.toctree-checkbox:checked ~ label .icon svg {\n  transform: rotate(-90deg);\n}\n\n.toc-title-container {\n  padding: var(--toc-title-padding);\n  padding-top: var(--toc-spacing-vertical);\n}\n\n.toc-title {\n  font-size: var(--toc-title-font-size);\n  padding-left: var(--toc-spacing-horizontal);\n  text-transform: uppercase;\n}\n\n.no-toc {\n  display: none;\n}\n\n.toc-tree-container {\n  padding-bottom: var(--toc-spacing-vertical);\n}\n\n.toc-tree {\n  font-size: var(--toc-font-size);\n  line-height: 1.3;\n  padding-left: calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal));\n}\n.toc-tree > ul > li:first-child {\n  padding-top: 0;\n}\n.toc-tree > ul > li:first-child > ul {\n  padding-left: 0;\n}\n.toc-tree > ul > li:first-child > a {\n  display: none;\n}\n.toc-tree ul {\n  list-style-type: none;\n  margin-top: 0;\n  margin-bottom: 0;\n  padding-left: var(--toc-item-spacing-horizontal);\n}\n.toc-tree li {\n  padding-top: var(--toc-item-spacing-vertical);\n}\n.toc-tree li .reference {\n  word-break: break-word;\n  text-decoration: none;\n}\n.toc-tree li.scroll-current > .reference {\n  font-weight: bold;\n}\n\n.toc-scroll {\n  max-height: 100vh;\n  overflow-y: scroll;\n}\n\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here) {\n  color: var(--color-problematic);\n  background: rgba(255, 0, 0, 0.25);\n}\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here)::before {\n  content: \"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch.\";\n}","// This file contains the styling for making the content throughout the page,\n// including fonts, paragraphs, headings and spacing among these elements.\n\nhtml\n  font-family: var(--font-stack)\npre,\ncode,\nkbd,\nsamp\n  font-family: var(--font-stack--monospace)\n\n// Make fonts look slightly nicer.\nbody\n  -webkit-font-smoothing: antialiased\n  -moz-osx-font-smoothing: grayscale\n\n// Line height from Bootstrap 4.1\narticle\n  line-height: 1.5\n\n//\n// Headings\n//\nh1\n  font-size: 2.25rem\nh2\n  font-size: 1.75rem\nh3\n  font-size: 1.25rem\nh4\n  font-size: 1rem\nh5\n  font-size: 0.875rem\nh6\n  font-size: 0.75rem\n\n// Main headings\nh1,\nh2\n  margin-top: 1.5rem\n  margin-bottom: 1rem\n  font-weight: 300\n\nh3\n  margin-top: 1.5rem\n  margin-bottom: 0.75rem\n  font-weight: 400\n\n// You're in-too-deep headings\nh4,\nh5,\nh6\n  text-transform: uppercase\n  margin-top: 1rem\n  margin-bottom: 0.5rem\n  font-weight: 700\n\n// Paragraph\np\n  margin-top: 0.75rem\n  margin-bottom: 0.75rem\n\n// Horizontal rules\nhr.docutils\n  height: 1px\n  padding: 0\n  margin: 2rem 0\n  background-color: var(--color-background-border)\n  border: 0\n\n.centered\n  text-align: center\n","// This file defines all the knobs that can be tweaked by end users.\n\n// Overall Layout Variables\n//\n// These are set here, since CSS variables can't be used in media queries,\n// which is where these would be used.\n$content-padding: 3em;\n$content-padding--small: 1em;\n$content-width: 46em;\n$sidebar-width: 15em;\n$full-width: $content-width + 2 * ($content-padding + $sidebar-width);\n\n// Admonitions\n//\n// Structure of these: (color, key-in-$icons).\n// The colors are translated into CSS variables below, and icons are used for\n// the declarations.\n$admonition-default: #651fff \"abstract\";\n$admonitions: (\n  // Each of these has an reST directives for it.\n  \"caution\": #ff9100 \"spark\",\n  \"warning\": #ff9100 \"warning\",\n  \"danger\": #ff5252 \"spark\",\n  \"attention\": #ff5252 \"warning\",\n  \"error\": #ff5252 \"failure\",\n  \"hint\": #00c852 \"question\",\n  \"important\": #00bfa5 \"flame\",\n  \"note\": #00b0ff \"pencil\",\n  \"seealso\": #448aff \"info\",\n  \"tip\": #00c852 \"info\",\n  \"admonition-todo\": #808080 \"pencil\"\n);\n\n:root {\n  //////////////////////////////////////////////////////////////////////////////\n  // Fonts\n  //////////////////////////////////////////////////////////////////////////////\n  // These are adapted from https://systemfontstack.com/\n  --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n    sans-serif, Apple Color Emoji, Segoe UI Emoji;\n  --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --font-size--normal: 100%;\n  --font-size--small: 87.5%;\n  --font-size--small--2: 81.25%;\n  --font-size--small--3: 75%;\n  --font-size--small--4: 62.5%;\n\n  // Sidebar\n  --sidebar-caption-font-size: var(--font-size--small--2);\n  --sidebar-item-font-size: var(--font-size--small);\n  --sidebar-search-input-font-size: var(--font-size--small);\n\n  // Table of Contents\n  --toc-font-size: var(--font-size--small--3);\n  --toc-font-size--mobile: var(--font-size--normal);\n  --toc-title-font-size: var(--font-size--small--4);\n\n  // Admonitions\n  --admonition-font-size: 0.8125rem;\n  --admonition-title-font-size: 0.8125rem;\n\n  // Code\n  --code-font-size: var(--font-size--small--2);\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Spacing\n  //////////////////////////////////////////////////////////////////////////////\n  --header-height: calc(\n    var(--sidebar-item-line-height) + 4 * #{var(--sidebar-item-spacing-vertical)}\n  );\n\n  // Sidebar\n  --sidebar-tree-space-above: 1.5rem;\n  --sidebar-caption-space-above: 1rem;\n\n  --sidebar-item-line-height: 1rem;\n  --sidebar-item-spacing-vertical: 0.5rem;\n  --sidebar-item-spacing-horizontal: 1rem;\n  --sidebar-item-height: calc(\n    var(--sidebar-item-line-height) + 2 *#{var(--sidebar-item-spacing-vertical)}\n  );\n\n  --sidebar-expander-width: var(--sidebar-item-height); // be square\n\n  --sidebar-search-space-above: 0.5rem;\n  --sidebar-search-input-spacing-vertical: 0.5rem;\n  --sidebar-search-input-spacing-horizontal: 0.5rem;\n  --sidebar-search-input-height: 1rem;\n  --sidebar-search-icon-size: var(--sidebar-search-input-height);\n\n  // Table of Contents\n  --toc-title-padding: 0.25rem 0;\n  --toc-spacing-vertical: 1.5rem;\n  --toc-spacing-horizontal: 1.5rem;\n  --toc-item-spacing-vertical: 0.4rem;\n  --toc-item-spacing-horizontal: 1rem;\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Icons\n  //////////////////////////////////////////////////////////////////////////////\n  @each $name, $glyph in $icons {\n    --icon-#{$name}: #{$glyph};\n  }\n  --icon-admonition-default: var(--icon-#{nth($admonition-default, 2)});\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Overall Colors\n  //     To give the user more control, avoid using these colors directly\n  //     outside of this file. Instead, try to define more variables here that\n  //     based on these, and use them in the actual stylesheets.\n  //////////////////////////////////////////////////////////////////////////////\n  --color-problematic: #b30000;\n\n  // Base Colors\n  --color-foreground-primary: black; // for main text and headings\n  --color-foreground-secondary: #5a5c63; // for secondary text\n  --color-foreground-muted: #72747e; // for muted text\n  --color-foreground-border: #878787; // for content borders\n\n  --color-background-primary: white; // for content\n  --color-background-secondary: #f8f9fb; // for navigation + ToC\n  --color-background-hover: #efeff4ff; // for navigation-item hover\n  --color-background-hover--transparent: #efeff400;\n  --color-background-border: #eeebee; // for UI borders\n\n  // Announcements\n  --color-announcement-background: #000000dd;\n  --color-announcement-text: #eeebee;\n\n  // Brand colors\n  --color-brand-primary: #2962ff;\n  --color-brand-content: #2a5adf;\n\n  // API documentation\n  --color-api-overall: var(--color-foreground-muted);\n  --color-api-name: var(--color-brand-content);\n  --color-api-pre-name: var(--color-brand-content);\n  --color-api-paren: var(--color-foreground-secondary);\n  --color-api-keyword: var(--color-problematic);\n  --color-api-highlight-on-target: #ffffcc;\n\n  // Inline code background\n  --color-inline-code-background: var(--color-background-secondary);\n\n  // Highlighted text (search)\n  --color-highlighted-background: #ddeeff;\n  --color-highlighted-text: var(--color-foreground-primary);\n\n  // GUI Labels\n  --color-guilabel-background: #ddeeff80;\n  --color-guilabel-border: #bedaf580;\n  --color-guilabel-text: var(--color-foreground-primary);\n\n  // Admonitions!\n  --color-admonition-background: transparent;\n  --color-admonition-title: #{nth($admonition-default, 1)};\n  --color-admonition-title-background: #{rgba(nth($admonition-default, 1), 0.1)};\n\n  @each $name, $values in $admonitions {\n    --color-admonition-title--#{$name}: #{nth($values, 1)};\n    --color-admonition-title-background--#{$name}: #{rgba(\n        nth($values, 1),\n        0.1\n      )};\n  }\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Everything below this should be one of:\n  // - var(...)\n  // - *-gradient(...)\n  // - special literal values (eg: transparent, none)\n  //////////////////////////////////////////////////////////////////////////////\n\n  // Header\n  --color-header-background: var(--color-background-primary);\n  --color-header-border: var(--color-background-border);\n  --color-header-text: var(--color-foreground-primary);\n\n  // Sidebar (left)\n  --color-sidebar-background: var(--color-background-secondary);\n  --color-sidebar-background-border: var(--color-background-border);\n\n  --color-sidebar-brand-text: var(--color-foreground-primary);\n  --color-sidebar-caption-text: var(--color-foreground-muted);\n  --color-sidebar-link-text: var(--color-foreground-secondary);\n  --color-sidebar-link-text--top-level: var(--color-brand-primary);\n\n  --color-sidebar-item-background: var(--color-sidebar-background);\n  --color-sidebar-item-background--current: var(\n    --color-sidebar-item-background\n  );\n  --color-sidebar-item-background--hover: linear-gradient(\n    90deg,\n    var(--color-background-hover--transparent) 0%,\n    var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n    var(--color-background-hover) 100%\n  );\n\n  --color-sidebar-item-expander-background: transparent;\n  --color-sidebar-item-expander-background--hover: var(\n    --color-background-hover\n  );\n\n  --color-sidebar-search-text: var(--color-foreground-primary);\n  --color-sidebar-search-background: var(--color-background-secondary);\n  --color-sidebar-search-background--focus: var(--color-background-primary);\n  --color-sidebar-search-border: var(--color-background-border);\n  --color-sidebar-search-icon: var(--color-foreground-muted);\n\n  // Table of Contents\n  --color-toc-background: var(--color-background-primary);\n  --color-toc-title-text: var(--color-foreground-muted);\n  --color-toc-item-text: var(--color-foreground-secondary);\n  --color-toc-item-text--hover: var(--color-foreground-primary);\n  --color-toc-item-text--active: var(--color-brand-primary);\n\n  // Actual page contents\n  --color-content-foreground: var(--color-foreground-primary);\n  --color-content-background: transparent;\n\n  --color-link: var(--color-brand-content);\n  --color-link--hover: var(--color-brand-content);\n  --color-link-underline: var(--color-background-border);\n  --color-link-underline--hover: var(--color-foreground-border);\n}\n\n@media (prefers-color-scheme: dark) {\n  :root {\n    --color-problematic: #e25050;\n\n    // Base Colors\n    --color-foreground-primary: #ffffffd9; // for main text and headings\n    --color-foreground-secondary: #9ca0a5; // for secondary text\n    --color-foreground-muted: #81868d; // for muted text\n    --color-foreground-border: #666666; // for content borders\n\n    --color-background-primary: #131416; // for content\n    --color-background-secondary: #1a1c1e; // for navigation + ToC\n    --color-background-hover: #1e2124ff; // for navigation-item hover\n    --color-background-hover--transparent: #1e212400;\n    --color-background-border: #303335; // for UI borders\n\n    // Announcements\n    --color-announcement-background: #000000dd;\n    --color-announcement-text: #eeebee;\n\n    // Brand colors\n    --color-brand-primary: #2b8cee;\n    --color-brand-content: #368ce2;\n\n    // Highlighted text (search)\n    --color-highlighted-background: #083563;\n\n    // GUI Labels\n    --color-guilabel-background: #08356380;\n    --color-guilabel-border: #13395f80;\n\n    // API documentation\n    --color-api-highlight-on-target: #333300;\n\n    // Admonitions\n    --color-admonition-background: #18181a;\n  }\n}\n","// This file contains the styles for the overall layouting of the documentation\n// skeleton, including the responsive changes as well as sidebar toggles.\n//\n// This is implemented as a mobile-last design, which isn't ideal, but it is\n// reasonably good-enough and I got pretty tired by the time I'd finished this\n// to move the rules around to fix this. Shouldn't take more than 3-4 hours,\n// if you know what you're doing tho.\n\n// HACK: Not all browsers account for the scrollbar width in media queries.\n// This results in horizontal scrollbars in the breakpoint where we go\n// from displaying everything to hiding the ToC. We accomodate for this by\n// adding a bit of padding to the TOC drawer, disabling the horizontal\n// scrollbar and allowing the scrollbars to cover the padding.\n// https://www.456bereastreet.com/archive/201301/media_query_width_and_vertical_scrollbars/\n// HACK: Always having the scrollbar visible, prevents certain browsers from\n// causing the content to stutter horizontally between taller-than-viewport and\n// not-taller-than-viewport pages.\nhtml\n  overflow-x: hidden\n  overflow-y: scroll\n\n:not(html):not(body)\n  // Override Firefox scrollbar style\n  scrollbar-width: thin\n  scrollbar-color: var(--color-foreground-border) transparent\n\n  // Override Chrome scrollbar styles\n  &::-webkit-scrollbar\n    width: 0.25rem\n    height: 0.25rem\n  &::-webkit-scrollbar-thumb\n    background-color: var(--color-foreground-border)\n    border-radius: 0.125rem\n\n//\n// Overalls\n//\nhtml,\nbody\n  height: 100%\n\n.page\n  display: flex\n  // fill the viewport for pages with little content.\n  min-height: 100%\n\n.mobile-header\n  width: 100%\n  height: var(--header-height)\n  background-color: var(--color-header-background)\n  color: var(--color-header-text)\n  border-bottom: 1px solid var(--color-header-border)\n\n  // Looks like sub-script/super-script have this, and we need this to\n  // be \"on top\" of those.\n  z-index: 10\n\n  // Add shadow when scrolled\n  &.scrolled\n    border-bottom: none\n    box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2)\n\n  // We don't show the header on large screens.\n  display: none\n\n.main\n  display: flex\n  flex: 1\n\n// Sidebar (left) also covers the entire left portion of screen.\n.sidebar-drawer\n  box-sizing: border-box\n\n  display: flex\n  justify-content: flex-end\n  // These next two lines took me two days to figure out.\n  width: calc((100% - #{$full-width}) / 2 + #{$sidebar-width})\n  min-width: $sidebar-width\n\n// Scroll-along sidebars\n.sidebar-container,\n.toc-drawer\n  box-sizing: border-box\n  width: $sidebar-width\n\n.toc-drawer\n  // See HACK described on top of this document\n  padding-right: 1rem\n\n.sidebar-sticky,\n.toc-sticky\n  position: sticky\n  top: 0\n  height: min(100%, 100vh)\n  height: 100vh\n\n  display: flex\n  flex-direction: column\n\n.sidebar-scroll,\n.toc-scroll\n  flex-shrink: 1\n\n  overflow: auto\n  scroll-behavior: smooth\n\n// Central items.\n.content\n  padding: 0 $content-padding\n  width: $content-width\n\n  display: flex\n  flex-direction: column\n  justify-content: space-between\n\n.icon\n  display: inline-block\n  height: 1rem\n  width: 1rem\n  svg\n    width: 100%\n    height: 100%\n\n//\n// Accommodate announcement banner\n//\n.announcement\n  height: var(--header-height)\n  display: flex\n  align-items: center\n  overflow-x: auto\n  & + .page\n    min-height: calc(100% - var(--header-height))\n\n.announcement-content\n  box-sizing: border-box\n  padding: 0.5rem\n  min-width: 100%\n  white-space: nowrap\n  text-align: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for elements\n////////////////////////////////////////////////////////////////////////////////\n.toc-overlay-icon, .nav-overlay-icon\n  display: none\n  cursor: pointer\n\n  .icon\n    color: var(--color-foreground-secondary)\n    height: 1.25rem\n    width: 1.25rem\n\n.toc-header-icon, .nav-overlay-icon\n  // for when we set display: flex\n  justify-content: center\n  align-items: center\n\n.toc-content-icon\n  height: 1.5rem\n  width: 1.5rem\n  margin-top: 1.5rem\n  float: right\n\n.sidebar-toggle\n  position: absolute\n  display: none\n// <debugging things>\n.sidebar-toggle[name=\"__toc\"]\n  left: 20px\n.sidebar-toggle:checked\n  left: 40px\n// </debugging things>\n\n.overlay\n  position: fixed\n  top: 0\n  width: 0\n  height: 0\n\n  transition: width 0ms, height 0ms, opacity 250ms ease-out\n\n  opacity: 0\n  background-color: rgba(0, 0, 0, 0.54)\n.sidebar-overlay\n  z-index: 20\n.toc-overlay\n  z-index: 40\n\n// Keep things on top and smooth.\n.sidebar-drawer\n  z-index: 30\n  transition: left 250ms ease-in-out\n.toc-drawer\n  z-index: 50\n  transition: right 250ms ease-in-out\n\n// Show the Sidebar\n#__navigation:checked\n  & ~ .sidebar-overlay\n    width: 100%\n    height: 100%\n    opacity: 1\n  & ~ .page\n    .sidebar-drawer\n      top: 0\n      left: 0\n      // Show the toc sidebar\n#__toc:checked\n  & ~ .toc-overlay\n    width: 100%\n    height: 100%\n    opacity: 1\n  & ~ .page\n    .toc-drawer\n      top: 0\n      right: 0\n\n////////////////////////////////////////////////////////////////////////////////\n// Responsive layouting\n////////////////////////////////////////////////////////////////////////////////\n// Make things a bit bigger on bigger screens.\n@media (min-width: $full-width + $sidebar-width)\n  html\n    font-size: 110%\n\n@media (max-width: $full-width)\n  // Collapse \"toc\" into the icon.\n  .toc-content-icon\n    display: flex\n  .toc-drawer\n    position: fixed\n    height: 100vh\n    top: 0\n    right: -$sidebar-width\n    border-left: 1px solid var(--color-background-muted)\n  .toc-tree\n    border-left: none\n    font-size: var(--toc-font-size--mobile)\n\n  // Accomodate for a changed content width.\n  .sidebar-drawer\n    width: calc((100% - #{$full-width - $sidebar-width}) / 2 + #{$sidebar-width})\n\n@media (max-width: $full-width - $sidebar-width)\n  // Collapse \"navigation\".\n  .nav-overlay-icon\n    display: flex\n  .sidebar-drawer\n    position: fixed\n    height: 100vh\n    width: $sidebar-width\n\n    top: 0\n    left: -$sidebar-width\n\n  // Swap which toc icon is used.\n  .toc-header-icon\n    display: flex\n  .toc-content-icon\n    display: none\n\n  // Show the header.\n  .mobile-header\n    position: sticky\n    top: 0\n    display: flex\n    justify-content: space-between\n    align-items: center\n\n    .header-left,\n    .header-right\n      display: flex\n      height: var(--header-height)\n      width: var(--header-height)\n      label\n        height: 100%\n        width: 100%\n\n  // Add a scroll margin for the content\n  :target\n    scroll-margin-top: var(--header-height)\n\n  // Center the page, and accommodate for the header.\n  .page\n    flex-direction: column\n    justify-content: center\n  .content\n    margin-left: auto\n    margin-right: auto\n\n@media (max-width: $content-width + 2* $content-padding)\n  // Content should respect window limits.\n  .content\n    width: 100%\n    overflow-x: auto\n\n@media (max-width: $content-width)\n  .content\n    padding: 0 $content-padding--small\n    // Don't float sidebars to the right.\n  article div.sidebar\n    float: none\n    width: 100%\n    margin: 1rem 0\n","// Definitely inspired by mkdocs-material.\n.admonition\n  margin: 1rem auto\n  padding: 0 0.5rem 0.5rem 0.5rem\n\n  background: var(--color-admonition-background)\n\n  border-radius: 0.2rem\n  border-left: 0.2rem solid var(--color-admonition-title)\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n  font-size: var(--admonition-font-size)\n\n  overflow: hidden\n  page-break-inside: avoid\n\n  // First element should have no margin, since the title has it.\n  > :nth-child(2)\n    margin-top: 0\n\n  // Last item should have no margin, since we'll control that w/ padding\n  > :last-child\n    margin-bottom: 0\n\n\n  // Defaults for all admonitions\n  p.admonition-title\n    position: relative\n    margin: 0 -0.5rem 0.5rem\n    padding: 0.5rem 0.5rem 0.5rem 2rem\n\n    font-weight: 500\n    font-size: var(--admonition-title-font-size)\n    background-color: var(--color-admonition-title-background)\n\n    line-height: 1.3\n\n    // Our fancy icon\n    &::before\n      content: \"\"\n      position: absolute\n      left: 0.5rem\n      width: 1rem\n      height: 1rem\n      // color: var(--color-admonition-title)\n      background-color: var(--color-admonition-title)\n\n      mask-image: var(--icon-admonition-default)\n      mask-repeat: no-repeat\n\n  //\n  // Variants\n  //\n  @each $type, $value in $admonitions\n    &.#{$type}\n      border-left-color: var(--color-admonition-title--#{$type})\n      > .admonition-title\n        background-color: var(--color-admonition-title-background--#{$type})\n        &::before\n          background-color: var(--color-admonition-title--#{$type})\n          mask-image: var(--icon-#{nth($value, 2)})\n\n.admonition-todo > .admonition-title\n  text-transform: uppercase\n","// This file stylizes the API documentation (stuff generated by autodoc). It's\n// deeply nested due to how autodoc structures the HTML without enough classes\n// to select the relevant items.\n\n// API docs!\ndl.py, dl.cpp, dl.c, dl.js\n  // Tweak the spacing of all the things!\n  dd\n    margin-left: 2rem\n    > :first-child\n      margin-top: 0.125rem\n    > :last-child\n      margin-bottom: 1.25rem\n\n  // This is used for the arguments\n  .field-list\n    margin-bottom: 0.75rem\n\n    // \"Headings\" (like \"Parameters\" and \"Return\")\n    dt\n      text-transform: uppercase\n      font-size: var(--font-size--small)\n\n    dd:empty\n      margin-bottom: 0.5rem\n    dd > ul\n      margin-left: -1.2rem\n      > li\n        > p:nth-child(2)\n          margin-top: 0\n        // When the last-empty-paragraph follows a paragraph, it doesn't need\n        // to augument the existing spacing.\n        > p + p:last-child:empty\n          margin-top: 0\n          margin-bottom: 0\n\n  // Colorize the elements\n  > dt\n    color: var(--color-api-overall)\n    &:target\n      background-color: var(--color-api-highlight-on-target)\n\ndl.class,\ndl.function,\ndl.method,\ndl.enum,\ndl.enum-class,\ndl.enum-struct,\ndl.type,\ndl.exception\n  > dt\n    padding-left: 3em\n    text-indent: -3em\n    .property\n      color: var(--color-api-keyword)\n      padding-right: 0.25rem\n\n    // adjust the size of the [source] link on the right.\n    a.reference.internal\n      .viewcode-link\n        width: 3.5rem\n        font-size: var(--font-size--small)\n\n.sig-name\n  font-weight: bold\n  color: var(--color-api-name)\n.sig-prename\n  color: var(--color-api-pre-name)\n.sig-paren\n  color: var(--color-api-paren)\n.sig-param\n  font-style: normal\n\n.versionmodified\n  font-style: italic\ndiv.versionadded, div.versionchanged, div.deprecated\n  p\n    margin-top: 0.125rem\n    margin-bottom: 0.125rem\n\n// Align the [docs] and [source] to the right.\n.viewcode-link, .viewcode-back\n  float: right\n  text-align: right\n","// Captions\narticle p.caption,\ntable > caption,\n.code-block-caption\n  font-size: var(--font-size--small)\n  text-align: center\n\n// Caption above a TOCTree\n.toctree-wrapper.compound\n  .caption, :not(.caption) > .caption-text\n    font-size: var(--font-size--small)\n    text-transform: uppercase\n\n    text-align: initial\n    margin-bottom: 0\n\n  > ul\n    margin-top: 0\n    margin-bottom: 0\n","// Inline code\ncode.literal\n  background: var(--color-inline-code-background)\n  border-radius: 0.2em\n  // Make the font smaller, and use padding to recover.\n  font-size: var(--font-size--small--2)\n  padding: 0.1em 0.2em\n\n// Code and Literal Blocks\n$code-spacing-vertical: 0.625rem\n$code-spacing-horizontal: 0.875rem\n\narticle\n  // Wraps every literal block + line numbers.\n  div[class*=\" highlight-\"],\n  div[class^=\"highlight-\"]\n    margin: 1em 0\n    display: flex\n\npre\n  margin: 0\n  padding: 0\n\n  // Needed to have more specificity than pygments' \"pre\" selector. :(\n  article &\n    line-height: 1.5\n\n  &.literal-block,\n  .highlight &\n    font-size: var(--code-font-size)\n    padding: $code-spacing-vertical $code-spacing-horizontal\n    overflow: auto\n\n  // Make it look like all the other blocks.\n  &.literal-block\n    margin-top: 1rem\n    margin-bottom: 1rem\n\n    border-radius: 0.2rem\n    background-color: var(--color-code-background)\n    color: var(--color-code-foreground)\n\n// All code is always contained in a pre\n.highlight\n  width: 100%\n  border-radius: 0.2rem\n\n// Added when there's line numbers associated with a literal block.\n.highlighttable\n  width: 100%\n  display: block\n  tbody\n    display: block\n\n  tr\n    display: flex\n\n  // Line numbers\n  td.linenos\n    background-color: var(--color-code-background)\n    color: var(--color-code-foreground)\n    padding: $code-spacing-vertical $code-spacing-horizontal\n    padding-right: 0\n    border-top-left-radius: 0.2rem\n    border-bottom-left-radius: 0.2rem\n\n  .linenodiv\n    font-size: var(--code-font-size)\n\n    padding-right: 0.5rem\n    box-shadow: -0.0625rem 0 var(--color-code-foreground) inset\n    opacity: 0.5 // I hate myself.\n\n  // Actual code\n  td.code\n    padding: 0\n    display: block\n    flex: 1\n    overflow: hidden\n\n    .highlight\n      border-top-left-radius: 0\n      border-bottom-left-radius: 0\n","// Inline Footnote Reference\n.footnote-reference\n  font-size: var(--font-size--small--4)\n  vertical-align: super\n\n// Definition list, listing the content of each note.\ndl.footnote\n  font-size: var(--font-size--small)\n  color: var(--color-foreground-secondary)\n\n  display: grid\n  grid-template-columns: max-content auto\n  dt\n    margin: 0\n    > .fn-backref\n      margin-left: 0.25rem\n\n    &:after\n      content: \":\"\n\n    .brackets\n      &:before\n        content: \"[\"\n      &:after\n        content: \"]\"\n","//\n// Figures\n//\nimg\n  box-sizing: border-box\n  max-width: 100%\n  height: auto\n\narticle\n  figure, .figure\n    border-radius: 0.2rem\n\n    margin: 0\n    :last-child\n      margin-bottom: 0\n\n  .align-left\n    float: left\n    clear: left\n    margin: 0 1rem 1rem\n\n  .align-right\n    float: right\n    clear: right\n    margin: 0 1rem 1rem\n\n  .align-default,\n  .align-center\n    display: block\n    text-align: center\n    margin-left: auto\n    margin-right: auto\n",".genindex-jumpbox, .domainindex-jumpbox\n  border-top: 1px solid var(--color-background-border)\n  border-bottom: 1px solid var(--color-background-border)\n  padding: 0.25rem\n\n.genindex-section, .domainindex-section\n  h2\n    margin-top: 0.75rem\n    margin-bottom: 0.5rem\n  ul\n    margin-top: 0\n    margin-bottom: 0\n","ul,\nol\n  padding-left: 1.2rem\n\n  // Space lists out like paragraphs\n  margin-top: 1rem\n  margin-bottom: 1rem\n  // reduce margins within li.\n  li\n    > p:first-child\n      margin-top: 0.25rem\n      margin-bottom: 0.25rem\n\n    > p:last-child\n      margin-top: 0.25rem\n\n    > ul,\n    > ol\n      margin-top: 0.5rem\n      margin-bottom: 0.5rem\n\n// Don't space lists out when they're \"simple\" or in a `.. toctree::`\n.simple,\n.toctree-wrapper\n  li\n    > ul,\n    > ol\n      margin-top: 0\n      margin-bottom: 0\n\n// Definition Lists\n.field-list,\n.option-list,\ndl:not([class]),\ndl.simple,\ndl.footnote,\ndl.glossary\n  dt\n    font-weight: 500\n    margin-top: 0.25rem\n    + dt\n      margin-top: 0\n\n    .classifier::before\n      content: \":\"\n      margin-left: 0.2rem\n      margin-right: 0.2rem\n\n  dd\n    > p:first-child,\n    ul\n      margin-top: 0.125rem\n\n    ul\n      margin-bottom: 0.125rem\n",".math-wrapper\n  width: 100%\n  overflow-x: auto\n","// Abbreviations\nabbr[title]\n  cursor: help\n\n// Keyboard / Mouse \"instructions\"\nkbd:not(.compound)\n  margin: 0 0.2rem\n  padding: 0 0.2rem\n  border-radius: 0.2rem\n  border: 1px solid var(--color-foreground-border)\n  color: var(--color-foreground-primary)\n  vertical-align: text-bottom\n\n  font-size: var(--font-size--small--3)\n  display: inline-block\n\n  box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary)\n\n  background-color: var(--color-background-secondary)\n\n// Blockquote\nblockquote\n  border-left: 1px solid var(--color-foreground-border)\n  font-style: italic\n  margin-left: 0.5rem\n  margin-right: 0.5rem\n  padding: 0.5rem 1rem\n\n// Center align embedded-in-text images\n.reference img\n  vertical-align: middle\n","// Adapted from Sphinx-RTD-theme's corresponding CSS\n// https://github.com/readthedocs/sphinx_rtd_theme/blob/1a32899b/src/sass/_theme_rst.sass#L201\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\ndl dt,\np.caption,\ntable > caption,\n.code-block-caption\n  > .headerlink\n    font-weight: 100\n    margin-left: 0.5rem\n    visibility: hidden\n    text-decoration: none\n\n  &:hover > .headerlink\n    visibility: visible\n\nh1,\nh2,\nh3,\nh4,\nh5,\nh6\n  :target > &:first-child > .headerlink\n    visibility: visible\n","p.rubric\n  text-transform: uppercase\n  font-size: var(--font-size--small)\n","article .sidebar\n  float: right\n  clear: right\n  width: 30%\n\n  margin-left: 1rem\n  margin-right: 0\n\n  border-radius: 0.2rem\n  background-color: var(--color-background-secondary)\n  border: var(--color-background-border) 1px solid\n\n  > *\n    padding-left: 1rem\n    padding-right: 1rem\n\n  > ul, > ol  // lists need additional padding, because bullets.\n    padding-left: 2.2rem\n\n  .sidebar-title\n    margin: 0\n    padding: 0.5rem 1rem\n    border-bottom: var(--color-background-border) 1px solid\n\n    font-weight: 500\n\n// TODO: subtitle\n// TODO: dedicated variables?\n",".table-wrapper\n  width: 100%\n  overflow-x: auto\n  margin-top: 1rem\n  margin-bottom: 0.5rem\n  padding: 0.2rem 0.2rem 0.75rem\n\ntable.docutils\n  border-radius: 0.2rem\n  border-spacing: 0\n  border-collapse: collapse\n\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n  th\n    background: var(--color-background-secondary)\n\n  td,\n  th\n    // Space things out properly\n    padding: 0 0.25rem\n    p\n      margin: 0.25rem\n\n    // Get the borders looking just-right.\n    border-left: 1px solid var(--color-background-border)\n    border-right: 1px solid var(--color-background-border)\n    border-bottom: 1px solid var(--color-background-border)\n\n    &:first-child\n      border-left: none\n    &:last-child\n      border-right: none\n",".guilabel\n  background-color: var(--color-guilabel-background)\n  border: 1px solid var(--color-guilabel-border)\n  color: var(--color-guilabel-text)\n\n  padding: 0 0.3em\n  border-radius: 0.5em\n  font-size: 0.9em\n","// This file contains the styles used for stylizing the footer that's shown\n// below the content.\n\nfooter\n  font-size: var(--font-size--small)\n  display: flex\n  flex-direction: column\n\n  margin-top: 2rem\n\n// Bottom of page information\n.related-information\n  margin-top: 1rem\n\n  padding: 0.75rem\n  padding-bottom: 1rem\n\n  border-top: 1px solid var(--color-background-border)\n\n  line-height: 1.5\n  color: var(--color-foreground-secondary)\n\n// Next/Prev page information\n.related-pages\n  a\n    display: flex\n    align-items: center\n\n    text-decoration: none\n    &:hover .page-info .title\n      text-decoration: underline\n      color: var(--color-link)\n      text-decoration-color: var(--color-link-underline)\n\n    svg,\n    svg > use\n      flex-shrink: 0\n\n      color: var(--color-foreground-border)\n\n      width: 0.75rem\n      height: 0.75rem\n      margin: 0 0.5rem\n\n    &.next-page\n      max-width: 50%\n\n      float: right\n      clear: right\n      text-align: right\n\n    &.prev-page\n      max-width: 50%\n\n      float: left\n      clear: left\n\n      svg\n        transform: rotate(180deg)\n\n.page-info\n  display: flex\n  flex-direction: column\n\n  .next-page &\n    align-items: flex-end\n\n  .context\n    display: flex\n    align-items: center\n\n    padding-bottom: 0.1rem\n\n    color: var(--color-foreground-muted)\n    font-size: var(--font-size--small)\n    text-decoration: none\n","//\n// Search Page Listing\n//\nul.search\n  padding-left: 0\n  list-style: none\n\n  li\n    padding: 1rem 0\n    border-bottom: 1px solid var(--color-background-border)\n\n//\n// Highlighted by links in search page\n//\n.highlighted\n  background-color: var(--color-highlighted-background)\n  color: var(--color-highlighted-text)\n","// This file contains the styles for the contents of the left sidebar, which\n// contains the navigation tree, logo, search etc.\n\n////////////////////////////////////////////////////////////////////////////////\n// Brand on top of the scrollable tree.\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-brand\n  display: flex\n  flex-direction: column\n  flex-shrink: 0\n\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n  text-decoration: none\n\n.sidebar-brand-text\n  overflow-wrap: break-word\n  margin: var(--sidebar-item-spacing-vertical) 0\n  font-size: 1.5rem\n\n.sidebar-logo-container\n  margin: var(--sidebar-item-spacing-vertical) 0\n\n.sidebar-logo\n  margin: 0 auto\n  display: block\n  max-width: 100%\n\n////////////////////////////////////////////////////////////////////////////////\n// Search\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-search-container\n  display: flex\n  align-items: center\n  margin-top: var(--sidebar-search-space-above)\n\n  position: relative\n  &::before\n    content: \"\"\n    position: absolute\n    left: var(--sidebar-item-spacing-horizontal)\n    width: var(--sidebar-search-icon-size)\n    height: var(--sidebar-search-icon-size)\n\n.sidebar-search\n  box-sizing: border-box\n\n  padding-top: var(--sidebar-search-input-spacing-vertical)\n  padding-bottom: var(--sidebar-search-input-spacing-vertical)\n  padding-right: var(--sidebar-search-input-spacing-horizontal)\n  padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size))\n\n  width: 100%\n\n  color: var(--color-sidebar-search-foreground)\n  background: transparent\n  z-index: 10\n\n  &:focus\n    outline: none\n\n  &::placeholder\n    font-size: var(--sidebar-search-input-font-size)\n\n////////////////////////////////////////////////////////////////////////////////\n// Structure/Skeleton of the navigation tree (left)\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-tree\n  font-size: var(--sidebar-item-font-size)\n  margin-top: var(--sidebar-tree-space-above)\n  margin-bottom: var(--sidebar-item-spacing-vertical)\n\n  ul\n    padding: 0\n    margin-top: 0\n    margin-bottom: 0\n\n    display: flex\n    flex-direction: column\n\n    list-style: none\n\n  li\n    position: relative\n    margin: 0\n\n    > ul\n      margin-left: var(--sidebar-item-spacing-horizontal)\n\n  .reference\n    box-sizing: border-box\n    // Fill the parent.\n    display: inline-block\n    line-height: var(--sidebar-item-line-height)\n\n    height: 100%\n    width: 100%\n\n    padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n    // Add a nice little \"external-link\" arrow here.\n    &.external::after\n      content: url('data:image/svg+xml,<svg width=\"12\" height=\"12\" xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"%23607D8B\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><path d=\"M11 7h-5a2 2 0 0 0 -2 2v9a2 2 0 0 0 2 2h9a2 2 0 0 0 2 -2v-5\" /><line x1=\"10\" y1=\"14\" x2=\"20\" y2=\"4\" /><polyline points=\"15 4 20 4 20 9\" /></svg>')\n      margin: 0 0.25rem\n      vertical-align: middle\n\n  // Make the current page reference bold.\n  .current-page > .reference\n    font-weight: bold\n\n  label\n    position: absolute\n    top: 0\n    right: 0\n    height: var(--sidebar-item-height)\n    width: var(--sidebar-expander-width)\n\n    cursor: pointer\n\n    display: flex\n    justify-content: center\n    align-items: center\n\n  .caption, :not(.caption) > .caption-text\n    font-size: var(--sidebar-caption-font-size)\n\n    font-weight: bold\n    text-transform: uppercase\n\n    margin: var(--sidebar-caption-space-above) 0 0 0\n\n    padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n  // If it has children, add a bit more padding to wrap the content to avoid\n  // overlapping with the <label>\n  li.has-children\n    > .reference\n      padding-right: var(--sidebar-expander-width)\n\n.toctree-checkbox\n  position: absolute\n  display: none\n\n////////////////////////////////////////////////////////////////////////////////\n// Togglable expand/collapse\n////////////////////////////////////////////////////////////////////////////////\n.toctree-checkbox\n  ~ ul\n    display: none\n\n  ~ label .icon svg\n    transform: rotate(90deg)\n\n.toctree-checkbox:checked\n  ~ ul\n    display: block\n\n  ~ label .icon svg\n    transform: rotate(-90deg)\n","// This file contains the styles for the contents of the right sidebar, which\n// contains the table of contents for the current page.\n.toc-title-container\n  padding: var(--toc-title-padding)\n  padding-top: var(--toc-spacing-vertical)\n\n.toc-title\n  font-size: var(--toc-title-font-size)\n  padding-left: var(--toc-spacing-horizontal)\n  text-transform: uppercase\n\n// If the ToC is not present, hide these elements coz they're not relevant.\n.no-toc\n  display: none\n\n.toc-tree-container\n  padding-bottom: var(--toc-spacing-vertical)\n\n.toc-tree\n  font-size: var(--toc-font-size)\n  line-height: 1.3\n\n  padding-left: calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal))\n\n  // Hide the first \"top level\" bullet.\n  > ul > li:first-child\n    padding-top: 0\n    & > ul\n      padding-left: 0\n    & > a\n      display: none\n\n  ul\n    list-style-type: none\n    margin-top: 0\n    margin-bottom: 0\n    padding-left: var(--toc-item-spacing-horizontal)\n  li\n    padding-top: var(--toc-item-spacing-vertical)\n\n    .reference\n      word-break: break-word\n      text-decoration: none\n\n    &.scroll-current >.reference\n      font-weight: bold\n\n.toc-scroll\n  max-height: 100vh\n  overflow-y: scroll\n\n// Be very annoying when someone includes the table of contents\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here)\n  color: var(--color-problematic)\n  background: rgba(255, 0, 0, 0.25)\n  &::before\n    content: \"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch.\"\n"]}
\ No newline at end of file
diff --git a/docs/0.10.3/html/_static/underscore-1.13.1.js b/docs/0.10.3/html/_static/underscore-1.13.1.js
new file mode 100644
index 000000000..ffd77af96
--- /dev/null
+++ b/docs/0.10.3/html/_static/underscore-1.13.1.js
@@ -0,0 +1,2042 @@
+(function (global, factory) {
+  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+  typeof define === 'function' && define.amd ? define('underscore', factory) :
+  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
+    var current = global._;
+    var exports = global._ = factory();
+    exports.noConflict = function () { global._ = current; return exports; };
+  }()));
+}(this, (function () {
+  //     Underscore.js 1.13.1
+  //     https://underscorejs.org
+  //     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+  //     Underscore may be freely distributed under the MIT license.
+
+  // Current version.
+  var VERSION = '1.13.1';
+
+  // Establish the root object, `window` (`self`) in the browser, `global`
+  // on the server, or `this` in some virtual machines. We use `self`
+  // instead of `window` for `WebWorker` support.
+  var root = typeof self == 'object' && self.self === self && self ||
+            typeof global == 'object' && global.global === global && global ||
+            Function('return this')() ||
+            {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype;
+  var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var push = ArrayProto.push,
+      slice = ArrayProto.slice,
+      toString = ObjProto.toString,
+      hasOwnProperty = ObjProto.hasOwnProperty;
+
+  // Modern feature detection.
+  var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
+      supportsDataView = typeof DataView !== 'undefined';
+
+  // All **ECMAScript 5+** native function implementations that we hope to use
+  // are declared here.
+  var nativeIsArray = Array.isArray,
+      nativeKeys = Object.keys,
+      nativeCreate = Object.create,
+      nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
+
+  // Create references to these builtin functions because we override them.
+  var _isNaN = isNaN,
+      _isFinite = isFinite;
+
+  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
+  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
+  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
+    'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
+
+  // The largest integer that can be represented exactly.
+  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
+
+  // Some functions take a variable number of arguments, or a few expected
+  // arguments at the beginning and then a variable number of values to operate
+  // on. This helper accumulates all remaining arguments past the function’s
+  // argument length (or an explicit `startIndex`), into an array that becomes
+  // the last argument. Similar to ES6’s "rest parameter".
+  function restArguments(func, startIndex) {
+    startIndex = startIndex == null ? func.length - 1 : +startIndex;
+    return function() {
+      var length = Math.max(arguments.length - startIndex, 0),
+          rest = Array(length),
+          index = 0;
+      for (; index < length; index++) {
+        rest[index] = arguments[index + startIndex];
+      }
+      switch (startIndex) {
+        case 0: return func.call(this, rest);
+        case 1: return func.call(this, arguments[0], rest);
+        case 2: return func.call(this, arguments[0], arguments[1], rest);
+      }
+      var args = Array(startIndex + 1);
+      for (index = 0; index < startIndex; index++) {
+        args[index] = arguments[index];
+      }
+      args[startIndex] = rest;
+      return func.apply(this, args);
+    };
+  }
+
+  // Is a given variable an object?
+  function isObject(obj) {
+    var type = typeof obj;
+    return type === 'function' || type === 'object' && !!obj;
+  }
+
+  // Is a given value equal to null?
+  function isNull(obj) {
+    return obj === null;
+  }
+
+  // Is a given variable undefined?
+  function isUndefined(obj) {
+    return obj === void 0;
+  }
+
+  // Is a given value a boolean?
+  function isBoolean(obj) {
+    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
+  }
+
+  // Is a given value a DOM element?
+  function isElement(obj) {
+    return !!(obj && obj.nodeType === 1);
+  }
+
+  // Internal function for creating a `toString`-based type tester.
+  function tagTester(name) {
+    var tag = '[object ' + name + ']';
+    return function(obj) {
+      return toString.call(obj) === tag;
+    };
+  }
+
+  var isString = tagTester('String');
+
+  var isNumber = tagTester('Number');
+
+  var isDate = tagTester('Date');
+
+  var isRegExp = tagTester('RegExp');
+
+  var isError = tagTester('Error');
+
+  var isSymbol = tagTester('Symbol');
+
+  var isArrayBuffer = tagTester('ArrayBuffer');
+
+  var isFunction = tagTester('Function');
+
+  // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
+  // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
+  var nodelist = root.document && root.document.childNodes;
+  if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
+    isFunction = function(obj) {
+      return typeof obj == 'function' || false;
+    };
+  }
+
+  var isFunction$1 = isFunction;
+
+  var hasObjectTag = tagTester('Object');
+
+  // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
+  // In IE 11, the most common among them, this problem also applies to
+  // `Map`, `WeakMap` and `Set`.
+  var hasStringTagBug = (
+        supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
+      ),
+      isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
+
+  var isDataView = tagTester('DataView');
+
+  // In IE 10 - Edge 13, we need a different heuristic
+  // to determine whether an object is a `DataView`.
+  function ie10IsDataView(obj) {
+    return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
+  }
+
+  var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native `Array.isArray`.
+  var isArray = nativeIsArray || tagTester('Array');
+
+  // Internal function to check whether `key` is an own property name of `obj`.
+  function has$1(obj, key) {
+    return obj != null && hasOwnProperty.call(obj, key);
+  }
+
+  var isArguments = tagTester('Arguments');
+
+  // Define a fallback version of the method in browsers (ahem, IE < 9), where
+  // there isn't any inspectable "Arguments" type.
+  (function() {
+    if (!isArguments(arguments)) {
+      isArguments = function(obj) {
+        return has$1(obj, 'callee');
+      };
+    }
+  }());
+
+  var isArguments$1 = isArguments;
+
+  // Is a given object a finite number?
+  function isFinite$1(obj) {
+    return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
+  }
+
+  // Is the given value `NaN`?
+  function isNaN$1(obj) {
+    return isNumber(obj) && _isNaN(obj);
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function constant(value) {
+    return function() {
+      return value;
+    };
+  }
+
+  // Common internal logic for `isArrayLike` and `isBufferLike`.
+  function createSizePropertyCheck(getSizeProperty) {
+    return function(collection) {
+      var sizeProperty = getSizeProperty(collection);
+      return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
+    }
+  }
+
+  // Internal helper to generate a function to obtain property `key` from `obj`.
+  function shallowProperty(key) {
+    return function(obj) {
+      return obj == null ? void 0 : obj[key];
+    };
+  }
+
+  // Internal helper to obtain the `byteLength` property of an object.
+  var getByteLength = shallowProperty('byteLength');
+
+  // Internal helper to determine whether we should spend extensive checks against
+  // `ArrayBuffer` et al.
+  var isBufferLike = createSizePropertyCheck(getByteLength);
+
+  // Is a given value a typed array?
+  var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
+  function isTypedArray(obj) {
+    // `ArrayBuffer.isView` is the most future-proof, so use it when available.
+    // Otherwise, fall back on the above regular expression.
+    return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
+                  isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
+  }
+
+  var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
+
+  // Internal helper to obtain the `length` property of an object.
+  var getLength = shallowProperty('length');
+
+  // Internal helper to create a simple lookup structure.
+  // `collectNonEnumProps` used to depend on `_.contains`, but this led to
+  // circular imports. `emulatedSet` is a one-off solution that only works for
+  // arrays of strings.
+  function emulatedSet(keys) {
+    var hash = {};
+    for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
+    return {
+      contains: function(key) { return hash[key]; },
+      push: function(key) {
+        hash[key] = true;
+        return keys.push(key);
+      }
+    };
+  }
+
+  // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
+  // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
+  // needed.
+  function collectNonEnumProps(obj, keys) {
+    keys = emulatedSet(keys);
+    var nonEnumIdx = nonEnumerableProps.length;
+    var constructor = obj.constructor;
+    var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
+
+    // Constructor is a special case.
+    var prop = 'constructor';
+    if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
+
+    while (nonEnumIdx--) {
+      prop = nonEnumerableProps[nonEnumIdx];
+      if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
+        keys.push(prop);
+      }
+    }
+  }
+
+  // Retrieve the names of an object's own properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`.
+  function keys(obj) {
+    if (!isObject(obj)) return [];
+    if (nativeKeys) return nativeKeys(obj);
+    var keys = [];
+    for (var key in obj) if (has$1(obj, key)) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  function isEmpty(obj) {
+    if (obj == null) return true;
+    // Skip the more expensive `toString`-based type checks if `obj` has no
+    // `.length`.
+    var length = getLength(obj);
+    if (typeof length == 'number' && (
+      isArray(obj) || isString(obj) || isArguments$1(obj)
+    )) return length === 0;
+    return getLength(keys(obj)) === 0;
+  }
+
+  // Returns whether an object has a given set of `key:value` pairs.
+  function isMatch(object, attrs) {
+    var _keys = keys(attrs), length = _keys.length;
+    if (object == null) return !length;
+    var obj = Object(object);
+    for (var i = 0; i < length; i++) {
+      var key = _keys[i];
+      if (attrs[key] !== obj[key] || !(key in obj)) return false;
+    }
+    return true;
+  }
+
+  // If Underscore is called as a function, it returns a wrapped object that can
+  // be used OO-style. This wrapper holds altered versions of all functions added
+  // through `_.mixin`. Wrapped objects may be chained.
+  function _$1(obj) {
+    if (obj instanceof _$1) return obj;
+    if (!(this instanceof _$1)) return new _$1(obj);
+    this._wrapped = obj;
+  }
+
+  _$1.VERSION = VERSION;
+
+  // Extracts the result from a wrapped and chained object.
+  _$1.prototype.value = function() {
+    return this._wrapped;
+  };
+
+  // Provide unwrapping proxies for some methods used in engine operations
+  // such as arithmetic and JSON stringification.
+  _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
+
+  _$1.prototype.toString = function() {
+    return String(this._wrapped);
+  };
+
+  // Internal function to wrap or shallow-copy an ArrayBuffer,
+  // typed array or DataView to a new view, reusing the buffer.
+  function toBufferView(bufferSource) {
+    return new Uint8Array(
+      bufferSource.buffer || bufferSource,
+      bufferSource.byteOffset || 0,
+      getByteLength(bufferSource)
+    );
+  }
+
+  // We use this string twice, so give it a name for minification.
+  var tagDataView = '[object DataView]';
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function eq(a, b, aStack, bStack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
+    if (a === b) return a !== 0 || 1 / a === 1 / b;
+    // `null` or `undefined` only equal to itself (strict comparison).
+    if (a == null || b == null) return false;
+    // `NaN`s are equivalent, but non-reflexive.
+    if (a !== a) return b !== b;
+    // Exhaust primitive checks
+    var type = typeof a;
+    if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
+    return deepEq(a, b, aStack, bStack);
+  }
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function deepEq(a, b, aStack, bStack) {
+    // Unwrap any wrapped objects.
+    if (a instanceof _$1) a = a._wrapped;
+    if (b instanceof _$1) b = b._wrapped;
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className !== toString.call(b)) return false;
+    // Work around a bug in IE 10 - Edge 13.
+    if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
+      if (!isDataView$1(b)) return false;
+      className = tagDataView;
+    }
+    switch (className) {
+      // These types are compared by value.
+      case '[object RegExp]':
+        // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return '' + a === '' + b;
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive.
+        // Object(NaN) is equivalent to NaN.
+        if (+a !== +a) return +b !== +b;
+        // An `egal` comparison is performed for other numeric values.
+        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a === +b;
+      case '[object Symbol]':
+        return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
+      case '[object ArrayBuffer]':
+      case tagDataView:
+        // Coerce to typed array so we can fall through.
+        return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
+    }
+
+    var areArrays = className === '[object Array]';
+    if (!areArrays && isTypedArray$1(a)) {
+        var byteLength = getByteLength(a);
+        if (byteLength !== getByteLength(b)) return false;
+        if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
+        areArrays = true;
+    }
+    if (!areArrays) {
+      if (typeof a != 'object' || typeof b != 'object') return false;
+
+      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
+      // from different frames are.
+      var aCtor = a.constructor, bCtor = b.constructor;
+      if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
+                               isFunction$1(bCtor) && bCtor instanceof bCtor)
+                          && ('constructor' in a && 'constructor' in b)) {
+        return false;
+      }
+    }
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+
+    // Initializing stack of traversed objects.
+    // It's done here since we only need them for objects and arrays comparison.
+    aStack = aStack || [];
+    bStack = bStack || [];
+    var length = aStack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (aStack[length] === a) return bStack[length] === b;
+    }
+
+    // Add the first object to the stack of traversed objects.
+    aStack.push(a);
+    bStack.push(b);
+
+    // Recursively compare objects and arrays.
+    if (areArrays) {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      length = a.length;
+      if (length !== b.length) return false;
+      // Deep compare the contents, ignoring non-numeric properties.
+      while (length--) {
+        if (!eq(a[length], b[length], aStack, bStack)) return false;
+      }
+    } else {
+      // Deep compare objects.
+      var _keys = keys(a), key;
+      length = _keys.length;
+      // Ensure that both objects contain the same number of properties before comparing deep equality.
+      if (keys(b).length !== length) return false;
+      while (length--) {
+        // Deep compare each member
+        key = _keys[length];
+        if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    aStack.pop();
+    bStack.pop();
+    return true;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  function isEqual(a, b) {
+    return eq(a, b);
+  }
+
+  // Retrieve all the enumerable property names of an object.
+  function allKeys(obj) {
+    if (!isObject(obj)) return [];
+    var keys = [];
+    for (var key in obj) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Since the regular `Object.prototype.toString` type tests don't work for
+  // some types in IE 11, we use a fingerprinting heuristic instead, based
+  // on the methods. It's not great, but it's the best we got.
+  // The fingerprint method lists are defined below.
+  function ie11fingerprint(methods) {
+    var length = getLength(methods);
+    return function(obj) {
+      if (obj == null) return false;
+      // `Map`, `WeakMap` and `Set` have no enumerable keys.
+      var keys = allKeys(obj);
+      if (getLength(keys)) return false;
+      for (var i = 0; i < length; i++) {
+        if (!isFunction$1(obj[methods[i]])) return false;
+      }
+      // If we are testing against `WeakMap`, we need to ensure that
+      // `obj` doesn't have a `forEach` method in order to distinguish
+      // it from a regular `Map`.
+      return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
+    };
+  }
+
+  // In the interest of compact minification, we write
+  // each string in the fingerprints only once.
+  var forEachName = 'forEach',
+      hasName = 'has',
+      commonInit = ['clear', 'delete'],
+      mapTail = ['get', hasName, 'set'];
+
+  // `Map`, `WeakMap` and `Set` each have slightly different
+  // combinations of the above sublists.
+  var mapMethods = commonInit.concat(forEachName, mapTail),
+      weakMapMethods = commonInit.concat(mapTail),
+      setMethods = ['add'].concat(commonInit, forEachName, hasName);
+
+  var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
+
+  var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
+
+  var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
+
+  var isWeakSet = tagTester('WeakSet');
+
+  // Retrieve the values of an object's properties.
+  function values(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var values = Array(length);
+    for (var i = 0; i < length; i++) {
+      values[i] = obj[_keys[i]];
+    }
+    return values;
+  }
+
+  // Convert an object into a list of `[key, value]` pairs.
+  // The opposite of `_.object` with one argument.
+  function pairs(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var pairs = Array(length);
+    for (var i = 0; i < length; i++) {
+      pairs[i] = [_keys[i], obj[_keys[i]]];
+    }
+    return pairs;
+  }
+
+  // Invert the keys and values of an object. The values must be serializable.
+  function invert(obj) {
+    var result = {};
+    var _keys = keys(obj);
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      result[obj[_keys[i]]] = _keys[i];
+    }
+    return result;
+  }
+
+  // Return a sorted list of the function names available on the object.
+  function functions(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (isFunction$1(obj[key])) names.push(key);
+    }
+    return names.sort();
+  }
+
+  // An internal function for creating assigner functions.
+  function createAssigner(keysFunc, defaults) {
+    return function(obj) {
+      var length = arguments.length;
+      if (defaults) obj = Object(obj);
+      if (length < 2 || obj == null) return obj;
+      for (var index = 1; index < length; index++) {
+        var source = arguments[index],
+            keys = keysFunc(source),
+            l = keys.length;
+        for (var i = 0; i < l; i++) {
+          var key = keys[i];
+          if (!defaults || obj[key] === void 0) obj[key] = source[key];
+        }
+      }
+      return obj;
+    };
+  }
+
+  // Extend a given object with all the properties in passed-in object(s).
+  var extend = createAssigner(allKeys);
+
+  // Assigns a given object with all the own properties in the passed-in
+  // object(s).
+  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
+  var extendOwn = createAssigner(keys);
+
+  // Fill in a given object with default properties.
+  var defaults = createAssigner(allKeys, true);
+
+  // Create a naked function reference for surrogate-prototype-swapping.
+  function ctor() {
+    return function(){};
+  }
+
+  // An internal function for creating a new object that inherits from another.
+  function baseCreate(prototype) {
+    if (!isObject(prototype)) return {};
+    if (nativeCreate) return nativeCreate(prototype);
+    var Ctor = ctor();
+    Ctor.prototype = prototype;
+    var result = new Ctor;
+    Ctor.prototype = null;
+    return result;
+  }
+
+  // Creates an object that inherits from the given prototype object.
+  // If additional properties are provided then they will be added to the
+  // created object.
+  function create(prototype, props) {
+    var result = baseCreate(prototype);
+    if (props) extendOwn(result, props);
+    return result;
+  }
+
+  // Create a (shallow-cloned) duplicate of an object.
+  function clone(obj) {
+    if (!isObject(obj)) return obj;
+    return isArray(obj) ? obj.slice() : extend({}, obj);
+  }
+
+  // Invokes `interceptor` with the `obj` and then returns `obj`.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  function tap(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  }
+
+  // Normalize a (deep) property `path` to array.
+  // Like `_.iteratee`, this function can be customized.
+  function toPath$1(path) {
+    return isArray(path) ? path : [path];
+  }
+  _$1.toPath = toPath$1;
+
+  // Internal wrapper for `_.toPath` to enable minification.
+  // Similar to `cb` for `_.iteratee`.
+  function toPath(path) {
+    return _$1.toPath(path);
+  }
+
+  // Internal function to obtain a nested property in `obj` along `path`.
+  function deepGet(obj, path) {
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      if (obj == null) return void 0;
+      obj = obj[path[i]];
+    }
+    return length ? obj : void 0;
+  }
+
+  // Get the value of the (deep) property on `path` from `object`.
+  // If any property in `path` does not exist or if the value is
+  // `undefined`, return `defaultValue` instead.
+  // The `path` is normalized through `_.toPath`.
+  function get(object, path, defaultValue) {
+    var value = deepGet(object, toPath(path));
+    return isUndefined(value) ? defaultValue : value;
+  }
+
+  // Shortcut function for checking if an object has a given property directly on
+  // itself (in other words, not on a prototype). Unlike the internal `has`
+  // function, this public version can also traverse nested properties.
+  function has(obj, path) {
+    path = toPath(path);
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      var key = path[i];
+      if (!has$1(obj, key)) return false;
+      obj = obj[key];
+    }
+    return !!length;
+  }
+
+  // Keep the identity function around for default iteratees.
+  function identity(value) {
+    return value;
+  }
+
+  // Returns a predicate for checking whether an object has a given set of
+  // `key:value` pairs.
+  function matcher(attrs) {
+    attrs = extendOwn({}, attrs);
+    return function(obj) {
+      return isMatch(obj, attrs);
+    };
+  }
+
+  // Creates a function that, when passed an object, will traverse that object’s
+  // properties down the given `path`, specified as an array of keys or indices.
+  function property(path) {
+    path = toPath(path);
+    return function(obj) {
+      return deepGet(obj, path);
+    };
+  }
+
+  // Internal function that returns an efficient (for current engines) version
+  // of the passed-in callback, to be repeatedly applied in other Underscore
+  // functions.
+  function optimizeCb(func, context, argCount) {
+    if (context === void 0) return func;
+    switch (argCount == null ? 3 : argCount) {
+      case 1: return function(value) {
+        return func.call(context, value);
+      };
+      // The 2-argument case is omitted because we’re not using it.
+      case 3: return function(value, index, collection) {
+        return func.call(context, value, index, collection);
+      };
+      case 4: return function(accumulator, value, index, collection) {
+        return func.call(context, accumulator, value, index, collection);
+      };
+    }
+    return function() {
+      return func.apply(context, arguments);
+    };
+  }
+
+  // An internal function to generate callbacks that can be applied to each
+  // element in a collection, returning the desired result — either `_.identity`,
+  // an arbitrary callback, a property matcher, or a property accessor.
+  function baseIteratee(value, context, argCount) {
+    if (value == null) return identity;
+    if (isFunction$1(value)) return optimizeCb(value, context, argCount);
+    if (isObject(value) && !isArray(value)) return matcher(value);
+    return property(value);
+  }
+
+  // External wrapper for our callback generator. Users may customize
+  // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
+  // This abstraction hides the internal-only `argCount` argument.
+  function iteratee(value, context) {
+    return baseIteratee(value, context, Infinity);
+  }
+  _$1.iteratee = iteratee;
+
+  // The function we call internally to generate a callback. It invokes
+  // `_.iteratee` if overridden, otherwise `baseIteratee`.
+  function cb(value, context, argCount) {
+    if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
+    return baseIteratee(value, context, argCount);
+  }
+
+  // Returns the results of applying the `iteratee` to each element of `obj`.
+  // In contrast to `_.map` it returns an object.
+  function mapObject(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = keys(obj),
+        length = _keys.length,
+        results = {};
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys[index];
+      results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function noop(){}
+
+  // Generates a function for a given object that returns a given property.
+  function propertyOf(obj) {
+    if (obj == null) return noop;
+    return function(path) {
+      return get(obj, path);
+    };
+  }
+
+  // Run a function **n** times.
+  function times(n, iteratee, context) {
+    var accum = Array(Math.max(0, n));
+    iteratee = optimizeCb(iteratee, context, 1);
+    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
+    return accum;
+  }
+
+  // Return a random integer between `min` and `max` (inclusive).
+  function random(min, max) {
+    if (max == null) {
+      max = min;
+      min = 0;
+    }
+    return min + Math.floor(Math.random() * (max - min + 1));
+  }
+
+  // A (possibly faster) way to get the current timestamp as an integer.
+  var now = Date.now || function() {
+    return new Date().getTime();
+  };
+
+  // Internal helper to generate functions for escaping and unescaping strings
+  // to/from HTML interpolation.
+  function createEscaper(map) {
+    var escaper = function(match) {
+      return map[match];
+    };
+    // Regexes for identifying a key that needs to be escaped.
+    var source = '(?:' + keys(map).join('|') + ')';
+    var testRegexp = RegExp(source);
+    var replaceRegexp = RegExp(source, 'g');
+    return function(string) {
+      string = string == null ? '' : '' + string;
+      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
+    };
+  }
+
+  // Internal list of HTML entities for escaping.
+  var escapeMap = {
+    '&': '&amp;',
+    '<': '&lt;',
+    '>': '&gt;',
+    '"': '&quot;',
+    "'": '&#x27;',
+    '`': '&#x60;'
+  };
+
+  // Function for escaping strings to HTML interpolation.
+  var _escape = createEscaper(escapeMap);
+
+  // Internal list of HTML entities for unescaping.
+  var unescapeMap = invert(escapeMap);
+
+  // Function for unescaping strings from HTML interpolation.
+  var _unescape = createEscaper(unescapeMap);
+
+  // By default, Underscore uses ERB-style template delimiters. Change the
+  // following template settings to use alternative delimiters.
+  var templateSettings = _$1.templateSettings = {
+    evaluate: /<%([\s\S]+?)%>/g,
+    interpolate: /<%=([\s\S]+?)%>/g,
+    escape: /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `_.templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /(.)^/;
+
+  // Certain characters need to be escaped so that they can be put into a
+  // string literal.
+  var escapes = {
+    "'": "'",
+    '\\': '\\',
+    '\r': 'r',
+    '\n': 'n',
+    '\u2028': 'u2028',
+    '\u2029': 'u2029'
+  };
+
+  var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
+
+  function escapeChar(match) {
+    return '\\' + escapes[match];
+  }
+
+  // In order to prevent third-party code injection through
+  // `_.templateSettings.variable`, we test it against the following regular
+  // expression. It is intentionally a bit more liberal than just matching valid
+  // identifiers, but still prevents possible loopholes through defaults or
+  // destructuring assignment.
+  var bareIdentifier = /^\s*(\w|\$)+\s*$/;
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  // NB: `oldSettings` only exists for backwards compatibility.
+  function template(text, settings, oldSettings) {
+    if (!settings && oldSettings) settings = oldSettings;
+    settings = defaults({}, settings, _$1.templateSettings);
+
+    // Combine delimiters into one regular expression via alternation.
+    var matcher = RegExp([
+      (settings.escape || noMatch).source,
+      (settings.interpolate || noMatch).source,
+      (settings.evaluate || noMatch).source
+    ].join('|') + '|$', 'g');
+
+    // Compile the template source, escaping string literals appropriately.
+    var index = 0;
+    var source = "__p+='";
+    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
+      source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
+      index = offset + match.length;
+
+      if (escape) {
+        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
+      } else if (interpolate) {
+        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
+      } else if (evaluate) {
+        source += "';\n" + evaluate + "\n__p+='";
+      }
+
+      // Adobe VMs need the match returned to produce the correct offset.
+      return match;
+    });
+    source += "';\n";
+
+    var argument = settings.variable;
+    if (argument) {
+      // Insure against third-party code injection. (CVE-2021-23358)
+      if (!bareIdentifier.test(argument)) throw new Error(
+        'variable is not a bare identifier: ' + argument
+      );
+    } else {
+      // If a variable is not specified, place data values in local scope.
+      source = 'with(obj||{}){\n' + source + '}\n';
+      argument = 'obj';
+    }
+
+    source = "var __t,__p='',__j=Array.prototype.join," +
+      "print=function(){__p+=__j.call(arguments,'');};\n" +
+      source + 'return __p;\n';
+
+    var render;
+    try {
+      render = new Function(argument, '_', source);
+    } catch (e) {
+      e.source = source;
+      throw e;
+    }
+
+    var template = function(data) {
+      return render.call(this, data, _$1);
+    };
+
+    // Provide the compiled source as a convenience for precompilation.
+    template.source = 'function(' + argument + '){\n' + source + '}';
+
+    return template;
+  }
+
+  // Traverses the children of `obj` along `path`. If a child is a function, it
+  // is invoked with its parent as context. Returns the value of the final
+  // child, or `fallback` if any child is undefined.
+  function result(obj, path, fallback) {
+    path = toPath(path);
+    var length = path.length;
+    if (!length) {
+      return isFunction$1(fallback) ? fallback.call(obj) : fallback;
+    }
+    for (var i = 0; i < length; i++) {
+      var prop = obj == null ? void 0 : obj[path[i]];
+      if (prop === void 0) {
+        prop = fallback;
+        i = length; // Ensure we don't continue iterating.
+      }
+      obj = isFunction$1(prop) ? prop.call(obj) : prop;
+    }
+    return obj;
+  }
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  function uniqueId(prefix) {
+    var id = ++idCounter + '';
+    return prefix ? prefix + id : id;
+  }
+
+  // Start chaining a wrapped Underscore object.
+  function chain(obj) {
+    var instance = _$1(obj);
+    instance._chain = true;
+    return instance;
+  }
+
+  // Internal function to execute `sourceFunc` bound to `context` with optional
+  // `args`. Determines whether to execute a function as a constructor or as a
+  // normal function.
+  function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
+    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
+    var self = baseCreate(sourceFunc.prototype);
+    var result = sourceFunc.apply(self, args);
+    if (isObject(result)) return result;
+    return self;
+  }
+
+  // Partially apply a function by creating a version that has had some of its
+  // arguments pre-filled, without changing its dynamic `this` context. `_` acts
+  // as a placeholder by default, allowing any combination of arguments to be
+  // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
+  var partial = restArguments(function(func, boundArgs) {
+    var placeholder = partial.placeholder;
+    var bound = function() {
+      var position = 0, length = boundArgs.length;
+      var args = Array(length);
+      for (var i = 0; i < length; i++) {
+        args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
+      }
+      while (position < arguments.length) args.push(arguments[position++]);
+      return executeBound(func, bound, this, this, args);
+    };
+    return bound;
+  });
+
+  partial.placeholder = _$1;
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally).
+  var bind = restArguments(function(func, context, args) {
+    if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
+    var bound = restArguments(function(callArgs) {
+      return executeBound(func, bound, context, this, args.concat(callArgs));
+    });
+    return bound;
+  });
+
+  // Internal helper for collection methods to determine whether a collection
+  // should be iterated as an array or as an object.
+  // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
+  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
+  var isArrayLike = createSizePropertyCheck(getLength);
+
+  // Internal implementation of a recursive `flatten` function.
+  function flatten$1(input, depth, strict, output) {
+    output = output || [];
+    if (!depth && depth !== 0) {
+      depth = Infinity;
+    } else if (depth <= 0) {
+      return output.concat(input);
+    }
+    var idx = output.length;
+    for (var i = 0, length = getLength(input); i < length; i++) {
+      var value = input[i];
+      if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
+        // Flatten current level of array or arguments object.
+        if (depth > 1) {
+          flatten$1(value, depth - 1, strict, output);
+          idx = output.length;
+        } else {
+          var j = 0, len = value.length;
+          while (j < len) output[idx++] = value[j++];
+        }
+      } else if (!strict) {
+        output[idx++] = value;
+      }
+    }
+    return output;
+  }
+
+  // Bind a number of an object's methods to that object. Remaining arguments
+  // are the method names to be bound. Useful for ensuring that all callbacks
+  // defined on an object belong to it.
+  var bindAll = restArguments(function(obj, keys) {
+    keys = flatten$1(keys, false, false);
+    var index = keys.length;
+    if (index < 1) throw new Error('bindAll must be passed function names');
+    while (index--) {
+      var key = keys[index];
+      obj[key] = bind(obj[key], obj);
+    }
+    return obj;
+  });
+
+  // Memoize an expensive function by storing its results.
+  function memoize(func, hasher) {
+    var memoize = function(key) {
+      var cache = memoize.cache;
+      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
+      if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
+      return cache[address];
+    };
+    memoize.cache = {};
+    return memoize;
+  }
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  var delay = restArguments(function(func, wait, args) {
+    return setTimeout(function() {
+      return func.apply(null, args);
+    }, wait);
+  });
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  var defer = partial(delay, _$1, 1);
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time. Normally, the throttled function will run
+  // as much as it can, without ever going more than once per `wait` duration;
+  // but if you'd like to disable the execution on the leading edge, pass
+  // `{leading: false}`. To disable execution on the trailing edge, ditto.
+  function throttle(func, wait, options) {
+    var timeout, context, args, result;
+    var previous = 0;
+    if (!options) options = {};
+
+    var later = function() {
+      previous = options.leading === false ? 0 : now();
+      timeout = null;
+      result = func.apply(context, args);
+      if (!timeout) context = args = null;
+    };
+
+    var throttled = function() {
+      var _now = now();
+      if (!previous && options.leading === false) previous = _now;
+      var remaining = wait - (_now - previous);
+      context = this;
+      args = arguments;
+      if (remaining <= 0 || remaining > wait) {
+        if (timeout) {
+          clearTimeout(timeout);
+          timeout = null;
+        }
+        previous = _now;
+        result = func.apply(context, args);
+        if (!timeout) context = args = null;
+      } else if (!timeout && options.trailing !== false) {
+        timeout = setTimeout(later, remaining);
+      }
+      return result;
+    };
+
+    throttled.cancel = function() {
+      clearTimeout(timeout);
+      previous = 0;
+      timeout = context = args = null;
+    };
+
+    return throttled;
+  }
+
+  // When a sequence of calls of the returned function ends, the argument
+  // function is triggered. The end of a sequence is defined by the `wait`
+  // parameter. If `immediate` is passed, the argument function will be
+  // triggered at the beginning of the sequence instead of at the end.
+  function debounce(func, wait, immediate) {
+    var timeout, previous, args, result, context;
+
+    var later = function() {
+      var passed = now() - previous;
+      if (wait > passed) {
+        timeout = setTimeout(later, wait - passed);
+      } else {
+        timeout = null;
+        if (!immediate) result = func.apply(context, args);
+        // This check is needed because `func` can recursively invoke `debounced`.
+        if (!timeout) args = context = null;
+      }
+    };
+
+    var debounced = restArguments(function(_args) {
+      context = this;
+      args = _args;
+      previous = now();
+      if (!timeout) {
+        timeout = setTimeout(later, wait);
+        if (immediate) result = func.apply(context, args);
+      }
+      return result;
+    });
+
+    debounced.cancel = function() {
+      clearTimeout(timeout);
+      timeout = args = context = null;
+    };
+
+    return debounced;
+  }
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  function wrap(func, wrapper) {
+    return partial(wrapper, func);
+  }
+
+  // Returns a negated version of the passed-in predicate.
+  function negate(predicate) {
+    return function() {
+      return !predicate.apply(this, arguments);
+    };
+  }
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  function compose() {
+    var args = arguments;
+    var start = args.length - 1;
+    return function() {
+      var i = start;
+      var result = args[start].apply(this, arguments);
+      while (i--) result = args[i].call(this, result);
+      return result;
+    };
+  }
+
+  // Returns a function that will only be executed on and after the Nth call.
+  function after(times, func) {
+    return function() {
+      if (--times < 1) {
+        return func.apply(this, arguments);
+      }
+    };
+  }
+
+  // Returns a function that will only be executed up to (but not including) the
+  // Nth call.
+  function before(times, func) {
+    var memo;
+    return function() {
+      if (--times > 0) {
+        memo = func.apply(this, arguments);
+      }
+      if (times <= 1) func = null;
+      return memo;
+    };
+  }
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  var once = partial(before, 2);
+
+  // Returns the first key on an object that passes a truth test.
+  function findKey(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = keys(obj), key;
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      key = _keys[i];
+      if (predicate(obj[key], key, obj)) return key;
+    }
+  }
+
+  // Internal function to generate `_.findIndex` and `_.findLastIndex`.
+  function createPredicateIndexFinder(dir) {
+    return function(array, predicate, context) {
+      predicate = cb(predicate, context);
+      var length = getLength(array);
+      var index = dir > 0 ? 0 : length - 1;
+      for (; index >= 0 && index < length; index += dir) {
+        if (predicate(array[index], index, array)) return index;
+      }
+      return -1;
+    };
+  }
+
+  // Returns the first index on an array-like that passes a truth test.
+  var findIndex = createPredicateIndexFinder(1);
+
+  // Returns the last index on an array-like that passes a truth test.
+  var findLastIndex = createPredicateIndexFinder(-1);
+
+  // Use a comparator function to figure out the smallest index at which
+  // an object should be inserted so as to maintain order. Uses binary search.
+  function sortedIndex(array, obj, iteratee, context) {
+    iteratee = cb(iteratee, context, 1);
+    var value = iteratee(obj);
+    var low = 0, high = getLength(array);
+    while (low < high) {
+      var mid = Math.floor((low + high) / 2);
+      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
+    }
+    return low;
+  }
+
+  // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
+  function createIndexFinder(dir, predicateFind, sortedIndex) {
+    return function(array, item, idx) {
+      var i = 0, length = getLength(array);
+      if (typeof idx == 'number') {
+        if (dir > 0) {
+          i = idx >= 0 ? idx : Math.max(idx + length, i);
+        } else {
+          length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
+        }
+      } else if (sortedIndex && idx && length) {
+        idx = sortedIndex(array, item);
+        return array[idx] === item ? idx : -1;
+      }
+      if (item !== item) {
+        idx = predicateFind(slice.call(array, i, length), isNaN$1);
+        return idx >= 0 ? idx + i : -1;
+      }
+      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
+        if (array[idx] === item) return idx;
+      }
+      return -1;
+    };
+  }
+
+  // Return the position of the first occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  var indexOf = createIndexFinder(1, findIndex, sortedIndex);
+
+  // Return the position of the last occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  var lastIndexOf = createIndexFinder(-1, findLastIndex);
+
+  // Return the first value which passes a truth test.
+  function find(obj, predicate, context) {
+    var keyFinder = isArrayLike(obj) ? findIndex : findKey;
+    var key = keyFinder(obj, predicate, context);
+    if (key !== void 0 && key !== -1) return obj[key];
+  }
+
+  // Convenience version of a common use case of `_.find`: getting the first
+  // object containing specific `key:value` pairs.
+  function findWhere(obj, attrs) {
+    return find(obj, matcher(attrs));
+  }
+
+  // The cornerstone for collection functions, an `each`
+  // implementation, aka `forEach`.
+  // Handles raw objects in addition to array-likes. Treats all
+  // sparse array-likes as if they were dense.
+  function each(obj, iteratee, context) {
+    iteratee = optimizeCb(iteratee, context);
+    var i, length;
+    if (isArrayLike(obj)) {
+      for (i = 0, length = obj.length; i < length; i++) {
+        iteratee(obj[i], i, obj);
+      }
+    } else {
+      var _keys = keys(obj);
+      for (i = 0, length = _keys.length; i < length; i++) {
+        iteratee(obj[_keys[i]], _keys[i], obj);
+      }
+    }
+    return obj;
+  }
+
+  // Return the results of applying the iteratee to each element.
+  function map(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length,
+        results = Array(length);
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      results[index] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Internal helper to create a reducing function, iterating left or right.
+  function createReduce(dir) {
+    // Wrap code that reassigns argument variables in a separate function than
+    // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
+    var reducer = function(obj, iteratee, memo, initial) {
+      var _keys = !isArrayLike(obj) && keys(obj),
+          length = (_keys || obj).length,
+          index = dir > 0 ? 0 : length - 1;
+      if (!initial) {
+        memo = obj[_keys ? _keys[index] : index];
+        index += dir;
+      }
+      for (; index >= 0 && index < length; index += dir) {
+        var currentKey = _keys ? _keys[index] : index;
+        memo = iteratee(memo, obj[currentKey], currentKey, obj);
+      }
+      return memo;
+    };
+
+    return function(obj, iteratee, memo, context) {
+      var initial = arguments.length >= 3;
+      return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
+    };
+  }
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`.
+  var reduce = createReduce(1);
+
+  // The right-associative version of reduce, also known as `foldr`.
+  var reduceRight = createReduce(-1);
+
+  // Return all the elements that pass a truth test.
+  function filter(obj, predicate, context) {
+    var results = [];
+    predicate = cb(predicate, context);
+    each(obj, function(value, index, list) {
+      if (predicate(value, index, list)) results.push(value);
+    });
+    return results;
+  }
+
+  // Return all the elements for which a truth test fails.
+  function reject(obj, predicate, context) {
+    return filter(obj, negate(cb(predicate)), context);
+  }
+
+  // Determine whether all of the elements pass a truth test.
+  function every(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (!predicate(obj[currentKey], currentKey, obj)) return false;
+    }
+    return true;
+  }
+
+  // Determine if at least one element in the object passes a truth test.
+  function some(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (predicate(obj[currentKey], currentKey, obj)) return true;
+    }
+    return false;
+  }
+
+  // Determine if the array or object contains a given item (using `===`).
+  function contains(obj, item, fromIndex, guard) {
+    if (!isArrayLike(obj)) obj = values(obj);
+    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
+    return indexOf(obj, item, fromIndex) >= 0;
+  }
+
+  // Invoke a method (with arguments) on every item in a collection.
+  var invoke = restArguments(function(obj, path, args) {
+    var contextPath, func;
+    if (isFunction$1(path)) {
+      func = path;
+    } else {
+      path = toPath(path);
+      contextPath = path.slice(0, -1);
+      path = path[path.length - 1];
+    }
+    return map(obj, function(context) {
+      var method = func;
+      if (!method) {
+        if (contextPath && contextPath.length) {
+          context = deepGet(context, contextPath);
+        }
+        if (context == null) return void 0;
+        method = context[path];
+      }
+      return method == null ? method : method.apply(context, args);
+    });
+  });
+
+  // Convenience version of a common use case of `_.map`: fetching a property.
+  function pluck(obj, key) {
+    return map(obj, property(key));
+  }
+
+  // Convenience version of a common use case of `_.filter`: selecting only
+  // objects containing specific `key:value` pairs.
+  function where(obj, attrs) {
+    return filter(obj, matcher(attrs));
+  }
+
+  // Return the maximum element (or element-based computation).
+  function max(obj, iteratee, context) {
+    var result = -Infinity, lastComputed = -Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value > result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Return the minimum element (or element-based computation).
+  function min(obj, iteratee, context) {
+    var result = Infinity, lastComputed = Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value < result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed < lastComputed || computed === Infinity && result === Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Sample **n** random values from a collection using the modern version of the
+  // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
+  // If **n** is not specified, returns a single random element.
+  // The internal `guard` argument allows it to work with `_.map`.
+  function sample(obj, n, guard) {
+    if (n == null || guard) {
+      if (!isArrayLike(obj)) obj = values(obj);
+      return obj[random(obj.length - 1)];
+    }
+    var sample = isArrayLike(obj) ? clone(obj) : values(obj);
+    var length = getLength(sample);
+    n = Math.max(Math.min(n, length), 0);
+    var last = length - 1;
+    for (var index = 0; index < n; index++) {
+      var rand = random(index, last);
+      var temp = sample[index];
+      sample[index] = sample[rand];
+      sample[rand] = temp;
+    }
+    return sample.slice(0, n);
+  }
+
+  // Shuffle a collection.
+  function shuffle(obj) {
+    return sample(obj, Infinity);
+  }
+
+  // Sort the object's values by a criterion produced by an iteratee.
+  function sortBy(obj, iteratee, context) {
+    var index = 0;
+    iteratee = cb(iteratee, context);
+    return pluck(map(obj, function(value, key, list) {
+      return {
+        value: value,
+        index: index++,
+        criteria: iteratee(value, key, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria;
+      var b = right.criteria;
+      if (a !== b) {
+        if (a > b || a === void 0) return 1;
+        if (a < b || b === void 0) return -1;
+      }
+      return left.index - right.index;
+    }), 'value');
+  }
+
+  // An internal function used for aggregate "group by" operations.
+  function group(behavior, partition) {
+    return function(obj, iteratee, context) {
+      var result = partition ? [[], []] : {};
+      iteratee = cb(iteratee, context);
+      each(obj, function(value, index) {
+        var key = iteratee(value, index, obj);
+        behavior(result, value, key);
+      });
+      return result;
+    };
+  }
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  var groupBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key].push(value); else result[key] = [value];
+  });
+
+  // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
+  // when you know that your index values will be unique.
+  var indexBy = group(function(result, value, key) {
+    result[key] = value;
+  });
+
+  // Counts instances of an object that group by a certain criterion. Pass
+  // either a string attribute to count by, or a function that returns the
+  // criterion.
+  var countBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key]++; else result[key] = 1;
+  });
+
+  // Split a collection into two arrays: one whose elements all pass the given
+  // truth test, and one whose elements all do not pass the truth test.
+  var partition = group(function(result, value, pass) {
+    result[pass ? 0 : 1].push(value);
+  }, true);
+
+  // Safely create a real, live array from anything iterable.
+  var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
+  function toArray(obj) {
+    if (!obj) return [];
+    if (isArray(obj)) return slice.call(obj);
+    if (isString(obj)) {
+      // Keep surrogate pair characters together.
+      return obj.match(reStrSymbol);
+    }
+    if (isArrayLike(obj)) return map(obj, identity);
+    return values(obj);
+  }
+
+  // Return the number of elements in a collection.
+  function size(obj) {
+    if (obj == null) return 0;
+    return isArrayLike(obj) ? obj.length : keys(obj).length;
+  }
+
+  // Internal `_.pick` helper function to determine whether `key` is an enumerable
+  // property name of `obj`.
+  function keyInObj(value, key, obj) {
+    return key in obj;
+  }
+
+  // Return a copy of the object only containing the allowed properties.
+  var pick = restArguments(function(obj, keys) {
+    var result = {}, iteratee = keys[0];
+    if (obj == null) return result;
+    if (isFunction$1(iteratee)) {
+      if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
+      keys = allKeys(obj);
+    } else {
+      iteratee = keyInObj;
+      keys = flatten$1(keys, false, false);
+      obj = Object(obj);
+    }
+    for (var i = 0, length = keys.length; i < length; i++) {
+      var key = keys[i];
+      var value = obj[key];
+      if (iteratee(value, key, obj)) result[key] = value;
+    }
+    return result;
+  });
+
+  // Return a copy of the object without the disallowed properties.
+  var omit = restArguments(function(obj, keys) {
+    var iteratee = keys[0], context;
+    if (isFunction$1(iteratee)) {
+      iteratee = negate(iteratee);
+      if (keys.length > 1) context = keys[1];
+    } else {
+      keys = map(flatten$1(keys, false, false), String);
+      iteratee = function(value, key) {
+        return !contains(keys, key);
+      };
+    }
+    return pick(obj, iteratee, context);
+  });
+
+  // Returns everything but the last entry of the array. Especially useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N.
+  function initial(array, n, guard) {
+    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
+  }
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  function first(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[0];
+    return initial(array, array.length - n);
+  }
+
+  // Returns everything but the first entry of the `array`. Especially useful on
+  // the `arguments` object. Passing an **n** will return the rest N values in the
+  // `array`.
+  function rest(array, n, guard) {
+    return slice.call(array, n == null || guard ? 1 : n);
+  }
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array.
+  function last(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[array.length - 1];
+    return rest(array, Math.max(0, array.length - n));
+  }
+
+  // Trim out all falsy values from an array.
+  function compact(array) {
+    return filter(array, Boolean);
+  }
+
+  // Flatten out an array, either recursively (by default), or up to `depth`.
+  // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
+  function flatten(array, depth) {
+    return flatten$1(array, depth, false);
+  }
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  var difference = restArguments(function(array, rest) {
+    rest = flatten$1(rest, true, true);
+    return filter(array, function(value){
+      return !contains(rest, value);
+    });
+  });
+
+  // Return a version of the array that does not contain the specified value(s).
+  var without = restArguments(function(array, otherArrays) {
+    return difference(array, otherArrays);
+  });
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // The faster algorithm will not work with an iteratee if the iteratee
+  // is not a one-to-one function, so providing an iteratee will disable
+  // the faster algorithm.
+  function uniq(array, isSorted, iteratee, context) {
+    if (!isBoolean(isSorted)) {
+      context = iteratee;
+      iteratee = isSorted;
+      isSorted = false;
+    }
+    if (iteratee != null) iteratee = cb(iteratee, context);
+    var result = [];
+    var seen = [];
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var value = array[i],
+          computed = iteratee ? iteratee(value, i, array) : value;
+      if (isSorted && !iteratee) {
+        if (!i || seen !== computed) result.push(value);
+        seen = computed;
+      } else if (iteratee) {
+        if (!contains(seen, computed)) {
+          seen.push(computed);
+          result.push(value);
+        }
+      } else if (!contains(result, value)) {
+        result.push(value);
+      }
+    }
+    return result;
+  }
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  var union = restArguments(function(arrays) {
+    return uniq(flatten$1(arrays, true, true));
+  });
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays.
+  function intersection(array) {
+    var result = [];
+    var argsLength = arguments.length;
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var item = array[i];
+      if (contains(result, item)) continue;
+      var j;
+      for (j = 1; j < argsLength; j++) {
+        if (!contains(arguments[j], item)) break;
+      }
+      if (j === argsLength) result.push(item);
+    }
+    return result;
+  }
+
+  // Complement of zip. Unzip accepts an array of arrays and groups
+  // each array's elements on shared indices.
+  function unzip(array) {
+    var length = array && max(array, getLength).length || 0;
+    var result = Array(length);
+
+    for (var index = 0; index < length; index++) {
+      result[index] = pluck(array, index);
+    }
+    return result;
+  }
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  var zip = restArguments(unzip);
+
+  // Converts lists into objects. Pass either a single array of `[key, value]`
+  // pairs, or two parallel arrays of the same length -- one of keys, and one of
+  // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
+  function object(list, values) {
+    var result = {};
+    for (var i = 0, length = getLength(list); i < length; i++) {
+      if (values) {
+        result[list[i]] = values[i];
+      } else {
+        result[list[i][0]] = list[i][1];
+      }
+    }
+    return result;
+  }
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](https://docs.python.org/library/functions.html#range).
+  function range(start, stop, step) {
+    if (stop == null) {
+      stop = start || 0;
+      start = 0;
+    }
+    if (!step) {
+      step = stop < start ? -1 : 1;
+    }
+
+    var length = Math.max(Math.ceil((stop - start) / step), 0);
+    var range = Array(length);
+
+    for (var idx = 0; idx < length; idx++, start += step) {
+      range[idx] = start;
+    }
+
+    return range;
+  }
+
+  // Chunk a single array into multiple arrays, each containing `count` or fewer
+  // items.
+  function chunk(array, count) {
+    if (count == null || count < 1) return [];
+    var result = [];
+    var i = 0, length = array.length;
+    while (i < length) {
+      result.push(slice.call(array, i, i += count));
+    }
+    return result;
+  }
+
+  // Helper function to continue chaining intermediate results.
+  function chainResult(instance, obj) {
+    return instance._chain ? _$1(obj).chain() : obj;
+  }
+
+  // Add your own custom functions to the Underscore object.
+  function mixin(obj) {
+    each(functions(obj), function(name) {
+      var func = _$1[name] = obj[name];
+      _$1.prototype[name] = function() {
+        var args = [this._wrapped];
+        push.apply(args, arguments);
+        return chainResult(this, func.apply(_$1, args));
+      };
+    });
+    return _$1;
+  }
+
+  // Add all mutator `Array` functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) {
+        method.apply(obj, arguments);
+        if ((name === 'shift' || name === 'splice') && obj.length === 0) {
+          delete obj[0];
+        }
+      }
+      return chainResult(this, obj);
+    };
+  });
+
+  // Add all accessor `Array` functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) obj = method.apply(obj, arguments);
+      return chainResult(this, obj);
+    };
+  });
+
+  // Named Exports
+
+  var allExports = {
+    __proto__: null,
+    VERSION: VERSION,
+    restArguments: restArguments,
+    isObject: isObject,
+    isNull: isNull,
+    isUndefined: isUndefined,
+    isBoolean: isBoolean,
+    isElement: isElement,
+    isString: isString,
+    isNumber: isNumber,
+    isDate: isDate,
+    isRegExp: isRegExp,
+    isError: isError,
+    isSymbol: isSymbol,
+    isArrayBuffer: isArrayBuffer,
+    isDataView: isDataView$1,
+    isArray: isArray,
+    isFunction: isFunction$1,
+    isArguments: isArguments$1,
+    isFinite: isFinite$1,
+    isNaN: isNaN$1,
+    isTypedArray: isTypedArray$1,
+    isEmpty: isEmpty,
+    isMatch: isMatch,
+    isEqual: isEqual,
+    isMap: isMap,
+    isWeakMap: isWeakMap,
+    isSet: isSet,
+    isWeakSet: isWeakSet,
+    keys: keys,
+    allKeys: allKeys,
+    values: values,
+    pairs: pairs,
+    invert: invert,
+    functions: functions,
+    methods: functions,
+    extend: extend,
+    extendOwn: extendOwn,
+    assign: extendOwn,
+    defaults: defaults,
+    create: create,
+    clone: clone,
+    tap: tap,
+    get: get,
+    has: has,
+    mapObject: mapObject,
+    identity: identity,
+    constant: constant,
+    noop: noop,
+    toPath: toPath$1,
+    property: property,
+    propertyOf: propertyOf,
+    matcher: matcher,
+    matches: matcher,
+    times: times,
+    random: random,
+    now: now,
+    escape: _escape,
+    unescape: _unescape,
+    templateSettings: templateSettings,
+    template: template,
+    result: result,
+    uniqueId: uniqueId,
+    chain: chain,
+    iteratee: iteratee,
+    partial: partial,
+    bind: bind,
+    bindAll: bindAll,
+    memoize: memoize,
+    delay: delay,
+    defer: defer,
+    throttle: throttle,
+    debounce: debounce,
+    wrap: wrap,
+    negate: negate,
+    compose: compose,
+    after: after,
+    before: before,
+    once: once,
+    findKey: findKey,
+    findIndex: findIndex,
+    findLastIndex: findLastIndex,
+    sortedIndex: sortedIndex,
+    indexOf: indexOf,
+    lastIndexOf: lastIndexOf,
+    find: find,
+    detect: find,
+    findWhere: findWhere,
+    each: each,
+    forEach: each,
+    map: map,
+    collect: map,
+    reduce: reduce,
+    foldl: reduce,
+    inject: reduce,
+    reduceRight: reduceRight,
+    foldr: reduceRight,
+    filter: filter,
+    select: filter,
+    reject: reject,
+    every: every,
+    all: every,
+    some: some,
+    any: some,
+    contains: contains,
+    includes: contains,
+    include: contains,
+    invoke: invoke,
+    pluck: pluck,
+    where: where,
+    max: max,
+    min: min,
+    shuffle: shuffle,
+    sample: sample,
+    sortBy: sortBy,
+    groupBy: groupBy,
+    indexBy: indexBy,
+    countBy: countBy,
+    partition: partition,
+    toArray: toArray,
+    size: size,
+    pick: pick,
+    omit: omit,
+    first: first,
+    head: first,
+    take: first,
+    initial: initial,
+    last: last,
+    rest: rest,
+    tail: rest,
+    drop: rest,
+    compact: compact,
+    flatten: flatten,
+    without: without,
+    uniq: uniq,
+    unique: uniq,
+    union: union,
+    intersection: intersection,
+    difference: difference,
+    unzip: unzip,
+    transpose: unzip,
+    zip: zip,
+    object: object,
+    range: range,
+    chunk: chunk,
+    mixin: mixin,
+    'default': _$1
+  };
+
+  // Default Export
+
+  // Add all of the Underscore functions to the wrapper object.
+  var _ = mixin(allExports);
+  // Legacy Node.js API.
+  _._ = _;
+
+  return _;
+
+})));
+//# sourceMappingURL=underscore-umd.js.map
diff --git a/docs/0.10.3/html/_static/underscore.js b/docs/0.10.3/html/_static/underscore.js
new file mode 100644
index 000000000..cf177d428
--- /dev/null
+++ b/docs/0.10.3/html/_static/underscore.js
@@ -0,0 +1,6 @@
+!function(n,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define("underscore",r):(n="undefined"!=typeof globalThis?globalThis:n||self,function(){var t=n._,e=n._=r();e.noConflict=function(){return n._=t,e}}())}(this,(function(){
+//     Underscore.js 1.13.1
+//     https://underscorejs.org
+//     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+//     Underscore may be freely distributed under the MIT license.
+var n="1.13.1",r="object"==typeof self&&self.self===self&&self||"object"==typeof global&&global.global===global&&global||Function("return this")()||{},t=Array.prototype,e=Object.prototype,u="undefined"!=typeof Symbol?Symbol.prototype:null,o=t.push,i=t.slice,a=e.toString,f=e.hasOwnProperty,c="undefined"!=typeof ArrayBuffer,l="undefined"!=typeof DataView,s=Array.isArray,p=Object.keys,v=Object.create,h=c&&ArrayBuffer.isView,y=isNaN,d=isFinite,g=!{toString:null}.propertyIsEnumerable("toString"),b=["valueOf","isPrototypeOf","toString","propertyIsEnumerable","hasOwnProperty","toLocaleString"],m=Math.pow(2,53)-1;function j(n,r){return r=null==r?n.length-1:+r,function(){for(var t=Math.max(arguments.length-r,0),e=Array(t),u=0;u<t;u++)e[u]=arguments[u+r];switch(r){case 0:return n.call(this,e);case 1:return n.call(this,arguments[0],e);case 2:return n.call(this,arguments[0],arguments[1],e)}var o=Array(r+1);for(u=0;u<r;u++)o[u]=arguments[u];return o[r]=e,n.apply(this,o)}}function _(n){var r=typeof n;return"function"===r||"object"===r&&!!n}function w(n){return void 0===n}function A(n){return!0===n||!1===n||"[object Boolean]"===a.call(n)}function x(n){var r="[object "+n+"]";return function(n){return a.call(n)===r}}var S=x("String"),O=x("Number"),M=x("Date"),E=x("RegExp"),B=x("Error"),N=x("Symbol"),I=x("ArrayBuffer"),T=x("Function"),k=r.document&&r.document.childNodes;"function"!=typeof/./&&"object"!=typeof Int8Array&&"function"!=typeof k&&(T=function(n){return"function"==typeof n||!1});var D=T,R=x("Object"),F=l&&R(new DataView(new ArrayBuffer(8))),V="undefined"!=typeof Map&&R(new Map),P=x("DataView");var q=F?function(n){return null!=n&&D(n.getInt8)&&I(n.buffer)}:P,U=s||x("Array");function W(n,r){return null!=n&&f.call(n,r)}var z=x("Arguments");!function(){z(arguments)||(z=function(n){return W(n,"callee")})}();var L=z;function $(n){return O(n)&&y(n)}function C(n){return function(){return n}}function K(n){return function(r){var t=n(r);return"number"==typeof t&&t>=0&&t<=m}}function J(n){return function(r){return null==r?void 0:r[n]}}var G=J("byteLength"),H=K(G),Q=/\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;var X=c?function(n){return h?h(n)&&!q(n):H(n)&&Q.test(a.call(n))}:C(!1),Y=J("length");function Z(n,r){r=function(n){for(var r={},t=n.length,e=0;e<t;++e)r[n[e]]=!0;return{contains:function(n){return r[n]},push:function(t){return r[t]=!0,n.push(t)}}}(r);var t=b.length,u=n.constructor,o=D(u)&&u.prototype||e,i="constructor";for(W(n,i)&&!r.contains(i)&&r.push(i);t--;)(i=b[t])in n&&n[i]!==o[i]&&!r.contains(i)&&r.push(i)}function nn(n){if(!_(n))return[];if(p)return p(n);var r=[];for(var t in n)W(n,t)&&r.push(t);return g&&Z(n,r),r}function rn(n,r){var t=nn(r),e=t.length;if(null==n)return!e;for(var u=Object(n),o=0;o<e;o++){var i=t[o];if(r[i]!==u[i]||!(i in u))return!1}return!0}function tn(n){return n instanceof tn?n:this instanceof tn?void(this._wrapped=n):new tn(n)}function en(n){return new Uint8Array(n.buffer||n,n.byteOffset||0,G(n))}tn.VERSION=n,tn.prototype.value=function(){return this._wrapped},tn.prototype.valueOf=tn.prototype.toJSON=tn.prototype.value,tn.prototype.toString=function(){return String(this._wrapped)};var un="[object DataView]";function on(n,r,t,e){if(n===r)return 0!==n||1/n==1/r;if(null==n||null==r)return!1;if(n!=n)return r!=r;var o=typeof n;return("function"===o||"object"===o||"object"==typeof r)&&function n(r,t,e,o){r instanceof tn&&(r=r._wrapped);t instanceof tn&&(t=t._wrapped);var i=a.call(r);if(i!==a.call(t))return!1;if(F&&"[object Object]"==i&&q(r)){if(!q(t))return!1;i=un}switch(i){case"[object RegExp]":case"[object String]":return""+r==""+t;case"[object Number]":return+r!=+r?+t!=+t:0==+r?1/+r==1/t:+r==+t;case"[object Date]":case"[object Boolean]":return+r==+t;case"[object Symbol]":return u.valueOf.call(r)===u.valueOf.call(t);case"[object ArrayBuffer]":case un:return n(en(r),en(t),e,o)}var f="[object Array]"===i;if(!f&&X(r)){if(G(r)!==G(t))return!1;if(r.buffer===t.buffer&&r.byteOffset===t.byteOffset)return!0;f=!0}if(!f){if("object"!=typeof r||"object"!=typeof t)return!1;var c=r.constructor,l=t.constructor;if(c!==l&&!(D(c)&&c instanceof c&&D(l)&&l instanceof l)&&"constructor"in r&&"constructor"in t)return!1}o=o||[];var s=(e=e||[]).length;for(;s--;)if(e[s]===r)return o[s]===t;if(e.push(r),o.push(t),f){if((s=r.length)!==t.length)return!1;for(;s--;)if(!on(r[s],t[s],e,o))return!1}else{var p,v=nn(r);if(s=v.length,nn(t).length!==s)return!1;for(;s--;)if(p=v[s],!W(t,p)||!on(r[p],t[p],e,o))return!1}return e.pop(),o.pop(),!0}(n,r,t,e)}function an(n){if(!_(n))return[];var r=[];for(var t in n)r.push(t);return g&&Z(n,r),r}function fn(n){var r=Y(n);return function(t){if(null==t)return!1;var e=an(t);if(Y(e))return!1;for(var u=0;u<r;u++)if(!D(t[n[u]]))return!1;return n!==hn||!D(t[cn])}}var cn="forEach",ln="has",sn=["clear","delete"],pn=["get",ln,"set"],vn=sn.concat(cn,pn),hn=sn.concat(pn),yn=["add"].concat(sn,cn,ln),dn=V?fn(vn):x("Map"),gn=V?fn(hn):x("WeakMap"),bn=V?fn(yn):x("Set"),mn=x("WeakSet");function jn(n){for(var r=nn(n),t=r.length,e=Array(t),u=0;u<t;u++)e[u]=n[r[u]];return e}function _n(n){for(var r={},t=nn(n),e=0,u=t.length;e<u;e++)r[n[t[e]]]=t[e];return r}function wn(n){var r=[];for(var t in n)D(n[t])&&r.push(t);return r.sort()}function An(n,r){return function(t){var e=arguments.length;if(r&&(t=Object(t)),e<2||null==t)return t;for(var u=1;u<e;u++)for(var o=arguments[u],i=n(o),a=i.length,f=0;f<a;f++){var c=i[f];r&&void 0!==t[c]||(t[c]=o[c])}return t}}var xn=An(an),Sn=An(nn),On=An(an,!0);function Mn(n){if(!_(n))return{};if(v)return v(n);var r=function(){};r.prototype=n;var t=new r;return r.prototype=null,t}function En(n){return _(n)?U(n)?n.slice():xn({},n):n}function Bn(n){return U(n)?n:[n]}function Nn(n){return tn.toPath(n)}function In(n,r){for(var t=r.length,e=0;e<t;e++){if(null==n)return;n=n[r[e]]}return t?n:void 0}function Tn(n,r,t){var e=In(n,Nn(r));return w(e)?t:e}function kn(n){return n}function Dn(n){return n=Sn({},n),function(r){return rn(r,n)}}function Rn(n){return n=Nn(n),function(r){return In(r,n)}}function Fn(n,r,t){if(void 0===r)return n;switch(null==t?3:t){case 1:return function(t){return n.call(r,t)};case 3:return function(t,e,u){return n.call(r,t,e,u)};case 4:return function(t,e,u,o){return n.call(r,t,e,u,o)}}return function(){return n.apply(r,arguments)}}function Vn(n,r,t){return null==n?kn:D(n)?Fn(n,r,t):_(n)&&!U(n)?Dn(n):Rn(n)}function Pn(n,r){return Vn(n,r,1/0)}function qn(n,r,t){return tn.iteratee!==Pn?tn.iteratee(n,r):Vn(n,r,t)}function Un(){}function Wn(n,r){return null==r&&(r=n,n=0),n+Math.floor(Math.random()*(r-n+1))}tn.toPath=Bn,tn.iteratee=Pn;var zn=Date.now||function(){return(new Date).getTime()};function Ln(n){var r=function(r){return n[r]},t="(?:"+nn(n).join("|")+")",e=RegExp(t),u=RegExp(t,"g");return function(n){return n=null==n?"":""+n,e.test(n)?n.replace(u,r):n}}var $n={"&":"&amp;","<":"&lt;",">":"&gt;",'"':"&quot;","'":"&#x27;","`":"&#x60;"},Cn=Ln($n),Kn=Ln(_n($n)),Jn=tn.templateSettings={evaluate:/<%([\s\S]+?)%>/g,interpolate:/<%=([\s\S]+?)%>/g,escape:/<%-([\s\S]+?)%>/g},Gn=/(.)^/,Hn={"'":"'","\\":"\\","\r":"r","\n":"n","\u2028":"u2028","\u2029":"u2029"},Qn=/\\|'|\r|\n|\u2028|\u2029/g;function Xn(n){return"\\"+Hn[n]}var Yn=/^\s*(\w|\$)+\s*$/;var Zn=0;function nr(n,r,t,e,u){if(!(e instanceof r))return n.apply(t,u);var o=Mn(n.prototype),i=n.apply(o,u);return _(i)?i:o}var rr=j((function(n,r){var t=rr.placeholder,e=function(){for(var u=0,o=r.length,i=Array(o),a=0;a<o;a++)i[a]=r[a]===t?arguments[u++]:r[a];for(;u<arguments.length;)i.push(arguments[u++]);return nr(n,e,this,this,i)};return e}));rr.placeholder=tn;var tr=j((function(n,r,t){if(!D(n))throw new TypeError("Bind must be called on a function");var e=j((function(u){return nr(n,e,r,this,t.concat(u))}));return e})),er=K(Y);function ur(n,r,t,e){if(e=e||[],r||0===r){if(r<=0)return e.concat(n)}else r=1/0;for(var u=e.length,o=0,i=Y(n);o<i;o++){var a=n[o];if(er(a)&&(U(a)||L(a)))if(r>1)ur(a,r-1,t,e),u=e.length;else for(var f=0,c=a.length;f<c;)e[u++]=a[f++];else t||(e[u++]=a)}return e}var or=j((function(n,r){var t=(r=ur(r,!1,!1)).length;if(t<1)throw new Error("bindAll must be passed function names");for(;t--;){var e=r[t];n[e]=tr(n[e],n)}return n}));var ir=j((function(n,r,t){return setTimeout((function(){return n.apply(null,t)}),r)})),ar=rr(ir,tn,1);function fr(n){return function(){return!n.apply(this,arguments)}}function cr(n,r){var t;return function(){return--n>0&&(t=r.apply(this,arguments)),n<=1&&(r=null),t}}var lr=rr(cr,2);function sr(n,r,t){r=qn(r,t);for(var e,u=nn(n),o=0,i=u.length;o<i;o++)if(r(n[e=u[o]],e,n))return e}function pr(n){return function(r,t,e){t=qn(t,e);for(var u=Y(r),o=n>0?0:u-1;o>=0&&o<u;o+=n)if(t(r[o],o,r))return o;return-1}}var vr=pr(1),hr=pr(-1);function yr(n,r,t,e){for(var u=(t=qn(t,e,1))(r),o=0,i=Y(n);o<i;){var a=Math.floor((o+i)/2);t(n[a])<u?o=a+1:i=a}return o}function dr(n,r,t){return function(e,u,o){var a=0,f=Y(e);if("number"==typeof o)n>0?a=o>=0?o:Math.max(o+f,a):f=o>=0?Math.min(o+1,f):o+f+1;else if(t&&o&&f)return e[o=t(e,u)]===u?o:-1;if(u!=u)return(o=r(i.call(e,a,f),$))>=0?o+a:-1;for(o=n>0?a:f-1;o>=0&&o<f;o+=n)if(e[o]===u)return o;return-1}}var gr=dr(1,vr,yr),br=dr(-1,hr);function mr(n,r,t){var e=(er(n)?vr:sr)(n,r,t);if(void 0!==e&&-1!==e)return n[e]}function jr(n,r,t){var e,u;if(r=Fn(r,t),er(n))for(e=0,u=n.length;e<u;e++)r(n[e],e,n);else{var o=nn(n);for(e=0,u=o.length;e<u;e++)r(n[o[e]],o[e],n)}return n}function _r(n,r,t){r=qn(r,t);for(var e=!er(n)&&nn(n),u=(e||n).length,o=Array(u),i=0;i<u;i++){var a=e?e[i]:i;o[i]=r(n[a],a,n)}return o}function wr(n){var r=function(r,t,e,u){var o=!er(r)&&nn(r),i=(o||r).length,a=n>0?0:i-1;for(u||(e=r[o?o[a]:a],a+=n);a>=0&&a<i;a+=n){var f=o?o[a]:a;e=t(e,r[f],f,r)}return e};return function(n,t,e,u){var o=arguments.length>=3;return r(n,Fn(t,u,4),e,o)}}var Ar=wr(1),xr=wr(-1);function Sr(n,r,t){var e=[];return r=qn(r,t),jr(n,(function(n,t,u){r(n,t,u)&&e.push(n)})),e}function Or(n,r,t){r=qn(r,t);for(var e=!er(n)&&nn(n),u=(e||n).length,o=0;o<u;o++){var i=e?e[o]:o;if(!r(n[i],i,n))return!1}return!0}function Mr(n,r,t){r=qn(r,t);for(var e=!er(n)&&nn(n),u=(e||n).length,o=0;o<u;o++){var i=e?e[o]:o;if(r(n[i],i,n))return!0}return!1}function Er(n,r,t,e){return er(n)||(n=jn(n)),("number"!=typeof t||e)&&(t=0),gr(n,r,t)>=0}var Br=j((function(n,r,t){var e,u;return D(r)?u=r:(r=Nn(r),e=r.slice(0,-1),r=r[r.length-1]),_r(n,(function(n){var o=u;if(!o){if(e&&e.length&&(n=In(n,e)),null==n)return;o=n[r]}return null==o?o:o.apply(n,t)}))}));function Nr(n,r){return _r(n,Rn(r))}function Ir(n,r,t){var e,u,o=-1/0,i=-1/0;if(null==r||"number"==typeof r&&"object"!=typeof n[0]&&null!=n)for(var a=0,f=(n=er(n)?n:jn(n)).length;a<f;a++)null!=(e=n[a])&&e>o&&(o=e);else r=qn(r,t),jr(n,(function(n,t,e){((u=r(n,t,e))>i||u===-1/0&&o===-1/0)&&(o=n,i=u)}));return o}function Tr(n,r,t){if(null==r||t)return er(n)||(n=jn(n)),n[Wn(n.length-1)];var e=er(n)?En(n):jn(n),u=Y(e);r=Math.max(Math.min(r,u),0);for(var o=u-1,i=0;i<r;i++){var a=Wn(i,o),f=e[i];e[i]=e[a],e[a]=f}return e.slice(0,r)}function kr(n,r){return function(t,e,u){var o=r?[[],[]]:{};return e=qn(e,u),jr(t,(function(r,u){var i=e(r,u,t);n(o,r,i)})),o}}var Dr=kr((function(n,r,t){W(n,t)?n[t].push(r):n[t]=[r]})),Rr=kr((function(n,r,t){n[t]=r})),Fr=kr((function(n,r,t){W(n,t)?n[t]++:n[t]=1})),Vr=kr((function(n,r,t){n[t?0:1].push(r)}),!0),Pr=/[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;function qr(n,r,t){return r in t}var Ur=j((function(n,r){var t={},e=r[0];if(null==n)return t;D(e)?(r.length>1&&(e=Fn(e,r[1])),r=an(n)):(e=qr,r=ur(r,!1,!1),n=Object(n));for(var u=0,o=r.length;u<o;u++){var i=r[u],a=n[i];e(a,i,n)&&(t[i]=a)}return t})),Wr=j((function(n,r){var t,e=r[0];return D(e)?(e=fr(e),r.length>1&&(t=r[1])):(r=_r(ur(r,!1,!1),String),e=function(n,t){return!Er(r,t)}),Ur(n,e,t)}));function zr(n,r,t){return i.call(n,0,Math.max(0,n.length-(null==r||t?1:r)))}function Lr(n,r,t){return null==n||n.length<1?null==r||t?void 0:[]:null==r||t?n[0]:zr(n,n.length-r)}function $r(n,r,t){return i.call(n,null==r||t?1:r)}var Cr=j((function(n,r){return r=ur(r,!0,!0),Sr(n,(function(n){return!Er(r,n)}))})),Kr=j((function(n,r){return Cr(n,r)}));function Jr(n,r,t,e){A(r)||(e=t,t=r,r=!1),null!=t&&(t=qn(t,e));for(var u=[],o=[],i=0,a=Y(n);i<a;i++){var f=n[i],c=t?t(f,i,n):f;r&&!t?(i&&o===c||u.push(f),o=c):t?Er(o,c)||(o.push(c),u.push(f)):Er(u,f)||u.push(f)}return u}var Gr=j((function(n){return Jr(ur(n,!0,!0))}));function Hr(n){for(var r=n&&Ir(n,Y).length||0,t=Array(r),e=0;e<r;e++)t[e]=Nr(n,e);return t}var Qr=j(Hr);function Xr(n,r){return n._chain?tn(r).chain():r}function Yr(n){return jr(wn(n),(function(r){var t=tn[r]=n[r];tn.prototype[r]=function(){var n=[this._wrapped];return o.apply(n,arguments),Xr(this,t.apply(tn,n))}})),tn}jr(["pop","push","reverse","shift","sort","splice","unshift"],(function(n){var r=t[n];tn.prototype[n]=function(){var t=this._wrapped;return null!=t&&(r.apply(t,arguments),"shift"!==n&&"splice"!==n||0!==t.length||delete t[0]),Xr(this,t)}})),jr(["concat","join","slice"],(function(n){var r=t[n];tn.prototype[n]=function(){var n=this._wrapped;return null!=n&&(n=r.apply(n,arguments)),Xr(this,n)}}));var Zr=Yr({__proto__:null,VERSION:n,restArguments:j,isObject:_,isNull:function(n){return null===n},isUndefined:w,isBoolean:A,isElement:function(n){return!(!n||1!==n.nodeType)},isString:S,isNumber:O,isDate:M,isRegExp:E,isError:B,isSymbol:N,isArrayBuffer:I,isDataView:q,isArray:U,isFunction:D,isArguments:L,isFinite:function(n){return!N(n)&&d(n)&&!isNaN(parseFloat(n))},isNaN:$,isTypedArray:X,isEmpty:function(n){if(null==n)return!0;var r=Y(n);return"number"==typeof r&&(U(n)||S(n)||L(n))?0===r:0===Y(nn(n))},isMatch:rn,isEqual:function(n,r){return on(n,r)},isMap:dn,isWeakMap:gn,isSet:bn,isWeakSet:mn,keys:nn,allKeys:an,values:jn,pairs:function(n){for(var r=nn(n),t=r.length,e=Array(t),u=0;u<t;u++)e[u]=[r[u],n[r[u]]];return e},invert:_n,functions:wn,methods:wn,extend:xn,extendOwn:Sn,assign:Sn,defaults:On,create:function(n,r){var t=Mn(n);return r&&Sn(t,r),t},clone:En,tap:function(n,r){return r(n),n},get:Tn,has:function(n,r){for(var t=(r=Nn(r)).length,e=0;e<t;e++){var u=r[e];if(!W(n,u))return!1;n=n[u]}return!!t},mapObject:function(n,r,t){r=qn(r,t);for(var e=nn(n),u=e.length,o={},i=0;i<u;i++){var a=e[i];o[a]=r(n[a],a,n)}return o},identity:kn,constant:C,noop:Un,toPath:Bn,property:Rn,propertyOf:function(n){return null==n?Un:function(r){return Tn(n,r)}},matcher:Dn,matches:Dn,times:function(n,r,t){var e=Array(Math.max(0,n));r=Fn(r,t,1);for(var u=0;u<n;u++)e[u]=r(u);return e},random:Wn,now:zn,escape:Cn,unescape:Kn,templateSettings:Jn,template:function(n,r,t){!r&&t&&(r=t),r=On({},r,tn.templateSettings);var e=RegExp([(r.escape||Gn).source,(r.interpolate||Gn).source,(r.evaluate||Gn).source].join("|")+"|$","g"),u=0,o="__p+='";n.replace(e,(function(r,t,e,i,a){return o+=n.slice(u,a).replace(Qn,Xn),u=a+r.length,t?o+="'+\n((__t=("+t+"))==null?'':_.escape(__t))+\n'":e?o+="'+\n((__t=("+e+"))==null?'':__t)+\n'":i&&(o+="';\n"+i+"\n__p+='"),r})),o+="';\n";var i,a=r.variable;if(a){if(!Yn.test(a))throw new Error("variable is not a bare identifier: "+a)}else o="with(obj||{}){\n"+o+"}\n",a="obj";o="var __t,__p='',__j=Array.prototype.join,"+"print=function(){__p+=__j.call(arguments,'');};\n"+o+"return __p;\n";try{i=new Function(a,"_",o)}catch(n){throw n.source=o,n}var f=function(n){return i.call(this,n,tn)};return f.source="function("+a+"){\n"+o+"}",f},result:function(n,r,t){var e=(r=Nn(r)).length;if(!e)return D(t)?t.call(n):t;for(var u=0;u<e;u++){var o=null==n?void 0:n[r[u]];void 0===o&&(o=t,u=e),n=D(o)?o.call(n):o}return n},uniqueId:function(n){var r=++Zn+"";return n?n+r:r},chain:function(n){var r=tn(n);return r._chain=!0,r},iteratee:Pn,partial:rr,bind:tr,bindAll:or,memoize:function(n,r){var t=function(e){var u=t.cache,o=""+(r?r.apply(this,arguments):e);return W(u,o)||(u[o]=n.apply(this,arguments)),u[o]};return t.cache={},t},delay:ir,defer:ar,throttle:function(n,r,t){var e,u,o,i,a=0;t||(t={});var f=function(){a=!1===t.leading?0:zn(),e=null,i=n.apply(u,o),e||(u=o=null)},c=function(){var c=zn();a||!1!==t.leading||(a=c);var l=r-(c-a);return u=this,o=arguments,l<=0||l>r?(e&&(clearTimeout(e),e=null),a=c,i=n.apply(u,o),e||(u=o=null)):e||!1===t.trailing||(e=setTimeout(f,l)),i};return c.cancel=function(){clearTimeout(e),a=0,e=u=o=null},c},debounce:function(n,r,t){var e,u,o,i,a,f=function(){var c=zn()-u;r>c?e=setTimeout(f,r-c):(e=null,t||(i=n.apply(a,o)),e||(o=a=null))},c=j((function(c){return a=this,o=c,u=zn(),e||(e=setTimeout(f,r),t&&(i=n.apply(a,o))),i}));return c.cancel=function(){clearTimeout(e),e=o=a=null},c},wrap:function(n,r){return rr(r,n)},negate:fr,compose:function(){var n=arguments,r=n.length-1;return function(){for(var t=r,e=n[r].apply(this,arguments);t--;)e=n[t].call(this,e);return e}},after:function(n,r){return function(){if(--n<1)return r.apply(this,arguments)}},before:cr,once:lr,findKey:sr,findIndex:vr,findLastIndex:hr,sortedIndex:yr,indexOf:gr,lastIndexOf:br,find:mr,detect:mr,findWhere:function(n,r){return mr(n,Dn(r))},each:jr,forEach:jr,map:_r,collect:_r,reduce:Ar,foldl:Ar,inject:Ar,reduceRight:xr,foldr:xr,filter:Sr,select:Sr,reject:function(n,r,t){return Sr(n,fr(qn(r)),t)},every:Or,all:Or,some:Mr,any:Mr,contains:Er,includes:Er,include:Er,invoke:Br,pluck:Nr,where:function(n,r){return Sr(n,Dn(r))},max:Ir,min:function(n,r,t){var e,u,o=1/0,i=1/0;if(null==r||"number"==typeof r&&"object"!=typeof n[0]&&null!=n)for(var a=0,f=(n=er(n)?n:jn(n)).length;a<f;a++)null!=(e=n[a])&&e<o&&(o=e);else r=qn(r,t),jr(n,(function(n,t,e){((u=r(n,t,e))<i||u===1/0&&o===1/0)&&(o=n,i=u)}));return o},shuffle:function(n){return Tr(n,1/0)},sample:Tr,sortBy:function(n,r,t){var e=0;return r=qn(r,t),Nr(_r(n,(function(n,t,u){return{value:n,index:e++,criteria:r(n,t,u)}})).sort((function(n,r){var t=n.criteria,e=r.criteria;if(t!==e){if(t>e||void 0===t)return 1;if(t<e||void 0===e)return-1}return n.index-r.index})),"value")},groupBy:Dr,indexBy:Rr,countBy:Fr,partition:Vr,toArray:function(n){return n?U(n)?i.call(n):S(n)?n.match(Pr):er(n)?_r(n,kn):jn(n):[]},size:function(n){return null==n?0:er(n)?n.length:nn(n).length},pick:Ur,omit:Wr,first:Lr,head:Lr,take:Lr,initial:zr,last:function(n,r,t){return null==n||n.length<1?null==r||t?void 0:[]:null==r||t?n[n.length-1]:$r(n,Math.max(0,n.length-r))},rest:$r,tail:$r,drop:$r,compact:function(n){return Sr(n,Boolean)},flatten:function(n,r){return ur(n,r,!1)},without:Kr,uniq:Jr,unique:Jr,union:Gr,intersection:function(n){for(var r=[],t=arguments.length,e=0,u=Y(n);e<u;e++){var o=n[e];if(!Er(r,o)){var i;for(i=1;i<t&&Er(arguments[i],o);i++);i===t&&r.push(o)}}return r},difference:Cr,unzip:Hr,transpose:Hr,zip:Qr,object:function(n,r){for(var t={},e=0,u=Y(n);e<u;e++)r?t[n[e]]=r[e]:t[n[e][0]]=n[e][1];return t},range:function(n,r,t){null==r&&(r=n||0,n=0),t||(t=r<n?-1:1);for(var e=Math.max(Math.ceil((r-n)/t),0),u=Array(e),o=0;o<e;o++,n+=t)u[o]=n;return u},chunk:function(n,r){if(null==r||r<1)return[];for(var t=[],e=0,u=n.length;e<u;)t.push(i.call(n,e,e+=r));return t},mixin:Yr,default:tn});return Zr._=Zr,Zr}));
\ No newline at end of file
diff --git a/docs/0.10.3/html/add_new_model_to_data_labeler.html b/docs/0.10.3/html/add_new_model_to_data_labeler.html
new file mode 100644
index 000000000..dab507e41
--- /dev/null
+++ b/docs/0.10.3/html/add_new_model_to_data_labeler.html
@@ -0,0 +1,935 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Building a Regex Data Labeler w/ your own Regex" href="regex_labeler_from_scratch.html" /><link rel="prev" title="Sensitive Data Detection with the Labeler" href="labeler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Adding new model to the existing DataLabeler pipeline - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/add_new_model_to_data_labeler.nblink">View this notebook on GitHub</a></p>
+<section id="Adding-new-model-to-the-existing-DataLabeler-pipeline">
+<h1>Adding new model to the existing DataLabeler pipeline<a class="headerlink" href="#Adding-new-model-to-the-existing-DataLabeler-pipeline" title="Permalink to this headline">¶</a></h1>
+<p>Consider the case when we would like to explore different character-level neural network models and evaluate their performance on different datasets. The existing DataLabeler in the DataProfiler library already contains a preprocessor, a postprocessor, and a character-level CNN (Convolutional Neural Network) model that are combined to work on such data. All we need is to build additional model classes that inherit the main functionalities from the CNN model and also adapt the model construction
+to the desired architectures. In this example, we define such a new model to be used with the Data Labeler component of the Data Profiler. In particular, a character-level LSTM (Long Short-Term Memory) model is implemented, then integrated into the DataLabeler pipeline to be trained with a tabular dataset. The process includes the following steps:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>- Build a new character-level LSTM model that inherits the CNN model
+- Load the DataLabeler from the DataProfiler
+- Swap the existing CNN model with the new LSTM model
+- Train the data labeler pipeline on a given dataset
+</pre></div>
+</div>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+import pandas as pd
+sys.path.insert(0, '..')
+import dataprofiler as dp
+</pre></div>
+</div>
+</div>
+<section id="Dataset">
+<h2>Dataset<a class="headerlink" href="#Dataset" title="Permalink to this headline">¶</a></h2>
+<p>In this example, we use a structured dataset, the aws honeypot dataset, given in the test folder of the library. This dataset is first read by the Data Reader class of the Data Profiler, then split into training and test data to be used in the next sections.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># use data reader to read input data
+data = dp.Data("../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv")
+df_data = data.data
+
+# split data to training and test set
+split_ratio = 0.2
+df_data = df_data.sample(frac=1).reset_index(drop=True)
+data_train = df_data[:int((1 - split_ratio) * len(df_data))]
+data_test = df_data[int((1 - split_ratio) * len(df_data)):]
+
+df_data.head()
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Implement-a-new-character-level-LSTM-model">
+<h2>Implement a new character-level LSTM model<a class="headerlink" href="#Implement-a-new-character-level-LSTM-model" title="Permalink to this headline">¶</a></h2>
+<p>This new model is inherited from <code class="docutils literal notranslate"><span class="pre">CharacterLevelCnnModel</span></code> class, with some modifications on the following functions</p>
+<p><code class="docutils literal notranslate"><span class="pre">__init__</span></code>: to add new parameters for the LSTM model. The new parameters, <code class="docutils literal notranslate"><span class="pre">size_lstm</span></code>, <code class="docutils literal notranslate"><span class="pre">rec_dropout</span></code>, <code class="docutils literal notranslate"><span class="pre">activation</span></code>, <code class="docutils literal notranslate"><span class="pre">recurrent_activation</span></code>, specify number of LSTM layers, activation function, and recurrent dropout ratio.</p>
+<p><code class="docutils literal notranslate"><span class="pre">_validate_parameters</span></code>: to add additional checks on the new parameters for the LSTM model</p>
+<p><code class="docutils literal notranslate"><span class="pre">_construct_model</span></code>: to construct the new LSTM model with the desired architecture</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import tensorflow as tf
+import numpy as np
+from dataprofiler.labelers.character_level_cnn_model import (
+    CharacterLevelCnnModel,
+    create_glove_char,
+    build_embd_dictionary,
+)
+from dataprofiler.labelers.base_model import BaseModel
+from dataprofiler.labelers.labeler_utils import F1Score
+
+
+# CharacterLevelLstmModel derives from CharacterLevelCnnModel
+#########################################################
+#########################################################
+class CharacterLevelLstmModel(CharacterLevelCnnModel):
+    # boolean if the label mapping requires the mapping for index 0 reserved
+    requires_zero_mapping = True
+
+    def __init__(self, label_mapping=None, parameters=None):
+        """
+        LSTM Model Initializer
+        """
+
+        # parameter initialization
+        if not parameters:
+            parameters = {}
+        parameters.setdefault("max_length", 3400)
+        parameters.setdefault("max_char_encoding_id", 127)
+        parameters.setdefault("dim_embed", 64)
+        parameters.setdefault("size_fc", [32, 32])
+        parameters.setdefault("dropout", 0.1)
+        # new parameters for LSTM model
+        #########################################################
+        #########################################################
+        parameters.setdefault("size_lstm", [64])
+        parameters.setdefault("rec_dropout", 0.1)
+        parameters.setdefault("activation", "tanh")
+        parameters.setdefault("recurrent_activation", "sigmoid")
+        #########################################################
+        #########################################################
+        parameters.setdefault("default_label", "UNKNOWN")
+        parameters["pad_label"] = "PAD"
+        self._epoch_id = 0
+
+        # reconstruct flags for model
+        self._model_num_labels = 0
+        self._model_default_ind = -1
+
+        BaseModel.__init__(self, label_mapping, parameters)
+
+    def _validate_parameters(self, parameters):
+        """
+        Validate the parameters sent in. Raise error if invalid parameters are
+        present.
+        """
+        errors = []
+        list_of_necessary_params = [
+            "max_length",
+            "max_char_encoding_id",
+            "dim_embed",
+            "size_fc",
+            "dropout",
+            "size_lstm",
+            "rec_dropout",
+            "activation",
+            "recurrent_activation",
+            "default_label",
+            "pad_label",
+        ]
+        # Make sure the necessary parameters are present and valid.
+        for param in parameters:
+            if param in [
+                "max_length",
+                "max_char_encoding_id",
+                "dim_embed",
+                "size_conv",
+            ]:
+                if (
+                    not isinstance(parameters[param], (int, float))
+                    or parameters[param] &lt; 0
+                ):
+                    errors.append(
+                        param + " must be a valid integer or float " "greater than 0."
+                    )
+            elif param in [
+                "dropout",
+                "rec_dropout",
+            ]:  # additional check for rec_dropout
+                if (
+                    not isinstance(parameters[param], (int, float))
+                    or parameters[param] &lt; 0
+                    or parameters[param] &gt; 1
+                ):
+                    errors.append(
+                        param + " must be a valid integer or float " "from 0 to 1."
+                    )
+            elif (
+                param == "size_fc" or param == "size_lstm"
+            ):  # additional check for size_lstm
+                if (
+                    not isinstance(parameters[param], list)
+                    or len(parameters[param]) == 0
+                ):
+                    errors.append(param + " must be a non-empty list of " "integers.")
+                else:
+                    for item in parameters[param]:
+                        if not isinstance(item, int):
+                            errors.append(
+                                param + " must be a non-empty " "list of integers."
+                            )
+                            break
+            elif param in [
+                "default_label",
+                "activation",
+                "recurrent_activation",
+            ]:  # additional check for activation and recurrent_activation
+                if not isinstance(parameters[param], str):
+                    error = str(param) + " must be a string."
+                    errors.append(error)
+
+        # Error if there are extra parameters thrown in
+        for param in parameters:
+            if param not in list_of_necessary_params:
+                errors.append(param + " is not an accepted parameter.")
+        if errors:
+            raise ValueError("\n".join(errors))
+
+    def _construct_model(self):
+        """
+        Model constructor for the data labeler. This also serves as a weight
+        reset.
+
+        :return: None
+        """
+        num_labels = self.num_labels
+        default_ind = self.label_mapping[self._parameters["default_label"]]
+
+        # Reset model
+        tf.keras.backend.clear_session()
+
+        # generate glove embedding
+        create_glove_char(self._parameters["dim_embed"])
+
+        # generate model
+        self._model = tf.keras.models.Sequential()
+
+        # default parameters
+        max_length = self._parameters["max_length"]
+        max_char_encoding_id = self._parameters["max_char_encoding_id"]
+
+        # Encoding layer
+        def encoding_function(input_str):
+            char_in_vector = CharacterLevelLstmModel._char_encoding_layer(
+                input_str, max_char_encoding_id, max_length
+            )
+            return char_in_vector
+
+        self._model.add(tf.keras.layers.Input(shape=(None,), dtype=tf.string))
+
+        self._model.add(
+            tf.keras.layers.Lambda(encoding_function, output_shape=tuple([max_length]))
+        )
+
+        # Create a pre-trained weight matrix
+        # character encoding indices range from 0 to max_char_encoding_id,
+        # we add one extra index for out-of-vocabulary character
+        embed_file = os.path.join(
+            "../dataprofiler/labelers",
+            "embeddings/glove-reduced-{}D.txt".format(self._parameters["dim_embed"]),
+        )
+        embedding_matrix = np.zeros(
+            (max_char_encoding_id + 2, self._parameters["dim_embed"])
+        )
+        embedding_dict = build_embd_dictionary(embed_file)
+
+        input_shape = tuple([max_length])
+        # Fill in the weight matrix: let pad and space be 0s
+        for ascii_num in range(max_char_encoding_id):
+            if chr(ascii_num) in embedding_dict:
+                embedding_matrix[ascii_num + 1] = embedding_dict[chr(ascii_num)]
+
+        self._model.add(
+            tf.keras.layers.Embedding(
+                max_char_encoding_id + 2,
+                self._parameters["dim_embed"],
+                weights=[embedding_matrix],
+                input_length=input_shape[0],
+                trainable=True,
+            )
+        )
+
+        # Add the lstm layers
+        #########################################################
+        #########################################################
+        for size in self._parameters["size_lstm"]:
+            self._model.add(
+                tf.keras.layers.LSTM(
+                    units=size,
+                    recurrent_dropout=self._parameters["rec_dropout"],
+                    activation=self._parameters["activation"],
+                    recurrent_activation=self._parameters["recurrent_activation"],
+                    return_sequences=True,
+                )
+            )
+            if self._parameters["dropout"]:
+                self._model.add(tf.keras.layers.Dropout(self._parameters["dropout"]))
+        #########################################################
+        #########################################################
+
+        # Add the fully connected layers
+        for size in self._parameters["size_fc"]:
+            self._model.add(tf.keras.layers.Dense(units=size, activation="relu"))
+            if self._parameters["dropout"]:
+                self._model.add(tf.keras.layers.Dropout(self._parameters["dropout"]))
+
+        # Add the final Softmax layer
+        self._model.add(tf.keras.layers.Dense(num_labels, activation="softmax"))
+
+        # Output the model into a .pb file for TensorFlow
+        argmax_layer = tf.keras.backend.argmax(self._model.output)
+
+        # Create confidence layers
+        final_predicted_layer = CharacterLevelLstmModel._argmax_threshold_layer(
+            num_labels, threshold=0.0, default_ind=default_ind
+        )
+
+        argmax_outputs = self._model.outputs + [
+            argmax_layer,
+            final_predicted_layer(argmax_layer, self._model.output),
+        ]
+        self._model = tf.keras.Model(self._model.inputs, argmax_outputs)
+
+        # Compile the model
+        softmax_output_layer_name = self._model.outputs[0].name.split("/")[0]
+        losses = {softmax_output_layer_name: "categorical_crossentropy"}
+
+        # use f1 score metric
+        f1_score_training = F1Score(num_classes=num_labels, average="micro")
+        metrics = {softmax_output_layer_name: ["acc", f1_score_training]}
+
+        self._model.compile(loss=losses, optimizer="adam", metrics=metrics)
+
+        self._epoch_id = 0
+        self._model_num_labels = num_labels
+        self._model_default_ind = default_ind
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Integrate-the-new-LSTM-model-to-the-DataLabeler">
+<h2>Integrate the new LSTM model to the DataLabeler<a class="headerlink" href="#Integrate-the-new-LSTM-model-to-the-DataLabeler" title="Permalink to this headline">¶</a></h2>
+<p>Once the LSTM model is built, it replaces the existing model in the DataLabeler pipeline, which is then trained on the given dataset. Note that, as the DataLabeler is trained on the above tabular dataset, its label mapping is updated by the list of column names in that dataset while training.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># get labels from the given dataset
+value_label_df = data_train.reset_index(drop=True).melt()
+value_label_df.columns = [1, 0]  # labels=1, values=0 in that order
+value_label_df = value_label_df.astype(str)
+labels = value_label_df[1].unique().tolist()
+
+# create a new LSTM model
+# set default label (one of the column names) to the model
+model = CharacterLevelLstmModel(label_mapping=labels, parameters={'default_label': 'comment'})
+
+# add the new LSTM model to the data labeler
+data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)
+data_labeler.set_model(model)
+
+# set default label (one of the column names) to the preprocessor and postprocessor
+processor_params = {'default_label': 'comment'}
+data_labeler._preprocessor.set_params(**processor_params)
+data_labeler._postprocessor.set_params(**processor_params)
+
+# train the data labeler
+save_dirpath="data_labeler_saved"
+if not os.path.exists(save_dirpath):
+    os.makedirs(save_dirpath)
+
+epochs=2
+data_labeler.fit(
+    x=value_label_df[0], y=value_label_df[1], labels=labels, epochs=epochs)
+if save_dirpath:
+    data_labeler.save_to_disk(save_dirpath)
+</pre></div>
+</div>
+</div>
+<p>The trained Data Labeler is then used by the Data Profiler to provide the prediction on the new dataset. In this example, all options except data labeler are disabled for the sake of presenting data labeler functionality. The results are given in the columnar format where true column types are given in the first column, and the predicted column labels are given in the second column.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># predict with the data labeler object
+profile_options = dp.ProfilerOptions()
+profile_options.set({"structured_options.text.is_enabled": False,
+                     "int.is_enabled": False,
+                     "float.is_enabled": False,
+                     "order.is_enabled": False,
+                     "category.is_enabled": False,
+                     "datetime.is_enabled": False,})
+profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})
+profile = dp.Profiler(data_test, options=profile_options)
+
+# get the prediction from the data profiler
+def get_structured_results(results):
+    columns = []
+    predictions = []
+    for col_report in results['data_stats']:
+        columns.append(col_report['column_name'])
+        predictions.append(col_report['data_label'])
+
+    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions})
+    return df_results
+
+results = profile.report()
+print(get_structured_results(results))
+</pre></div>
+</div>
+</div>
+<p>In summary, users can define their own model, plug it in the DataLabeler pipeline, and train the labeler with the new dataset. Above, we show one example of adding the LSTM model to the pipeline. Interested users can implement other neural network models as desired with the same process.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="regex_labeler_from_scratch.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Building a Regex Data Labeler w/ your own Regex</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="labeler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Sensitive Data Detection with the Labeler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/add_new_model_to_data_labeler.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Adding new model to the existing DataLabeler pipeline</a><ul>
+<li><a class="reference internal" href="#Dataset">Dataset</a></li>
+<li><a class="reference internal" href="#Implement-a-new-character-level-LSTM-model">Implement a new character-level LSTM model</a></li>
+<li><a class="reference internal" href="#Integrate-the-new-LSTM-model-to-the-DataLabeler">Integrate the new LSTM model to the DataLabeler</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/add_new_model_to_data_labeler.ipynb b/docs/0.10.3/html/add_new_model_to_data_labeler.ipynb
new file mode 100644
index 000000000..1495e6a85
--- /dev/null
+++ b/docs/0.10.3/html/add_new_model_to_data_labeler.ipynb
@@ -0,0 +1,488 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "228bb2a6",
+   "metadata": {},
+   "source": [
+    "# Adding new model to the existing DataLabeler pipeline"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cab7a569",
+   "metadata": {},
+   "source": [
+    "Consider the case when we would like to explore different character-level neural network models and evaluate their performance on different datasets. The existing DataLabeler in the DataProfiler library already contains a preprocessor, a postprocessor, and a character-level CNN (Convolutional Neural Network) model that are combined to work on such data. All we need is to build additional model classes that inherit the main functionalities from the CNN model and also adapt the model construction to the desired architectures. In this example, we define such a new model to be used with the Data Labeler component of the Data Profiler. In particular, a character-level LSTM (Long Short-Term Memory) model is implemented, then integrated into the DataLabeler pipeline to be trained with a tabular dataset. The process includes the following steps:\n",
+    "\n",
+    "    - Build a new character-level LSTM model that inherits the CNN model\n",
+    "    - Load the DataLabeler from the DataProfiler\n",
+    "    - Swap the existing CNN model with the new LSTM model\n",
+    "    - Train the data labeler pipeline on a given dataset\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16624c48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "e90728ab",
+   "metadata": {},
+   "source": [
+    "## Dataset"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "3d61981c",
+   "metadata": {},
+   "source": [
+    "In this example, we use a structured dataset, the aws honeypot dataset, given in the test folder of the library. This dataset is first read by the Data Reader class of the Data Profiler, then split into training and test data to be used in the next sections."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f031fe06",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\")\n",
+    "df_data = data.data\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df_data = df_data.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df_data[:int((1 - split_ratio) * len(df_data))]\n",
+    "data_test = df_data[int((1 - split_ratio) * len(df_data)):]\n",
+    "\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "745ed0d4",
+   "metadata": {},
+   "source": [
+    "## Implement a new character-level LSTM model"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "7375b0c0",
+   "metadata": {},
+   "source": [
+    "This new model is inherited from `CharacterLevelCnnModel` class, with some modifications on the following functions\n",
+    "\n",
+    "`__init__`: to add new parameters for the LSTM model. The new parameters, `size_lstm`, `rec_dropout`, `activation`, `recurrent_activation`, specify number of LSTM layers, activation function, and recurrent dropout ratio.\n",
+    "\n",
+    "`_validate_parameters`: to add additional checks on the new parameters for the LSTM model\n",
+    "\n",
+    "`_construct_model`: to construct the new LSTM model with the desired architecture"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8568fb49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "import numpy as np\n",
+    "from dataprofiler.labelers.character_level_cnn_model import (\n",
+    "    CharacterLevelCnnModel,\n",
+    "    create_glove_char,\n",
+    "    build_embd_dictionary,\n",
+    ")\n",
+    "from dataprofiler.labelers.base_model import BaseModel\n",
+    "from dataprofiler.labelers.labeler_utils import F1Score\n",
+    "\n",
+    "\n",
+    "# CharacterLevelLstmModel derives from CharacterLevelCnnModel\n",
+    "#########################################################\n",
+    "#########################################################\n",
+    "class CharacterLevelLstmModel(CharacterLevelCnnModel):\n",
+    "    # boolean if the label mapping requires the mapping for index 0 reserved\n",
+    "    requires_zero_mapping = True\n",
+    "\n",
+    "    def __init__(self, label_mapping=None, parameters=None):\n",
+    "        \"\"\"\n",
+    "        LSTM Model Initializer\n",
+    "        \"\"\"\n",
+    "\n",
+    "        # parameter initialization\n",
+    "        if not parameters:\n",
+    "            parameters = {}\n",
+    "        parameters.setdefault(\"max_length\", 3400)\n",
+    "        parameters.setdefault(\"max_char_encoding_id\", 127)\n",
+    "        parameters.setdefault(\"dim_embed\", 64)\n",
+    "        parameters.setdefault(\"size_fc\", [32, 32])\n",
+    "        parameters.setdefault(\"dropout\", 0.1)\n",
+    "        # new parameters for LSTM model\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"size_lstm\", [64])\n",
+    "        parameters.setdefault(\"rec_dropout\", 0.1)\n",
+    "        parameters.setdefault(\"activation\", \"tanh\")\n",
+    "        parameters.setdefault(\"recurrent_activation\", \"sigmoid\")\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        parameters.setdefault(\"default_label\", \"UNKNOWN\")\n",
+    "        parameters[\"pad_label\"] = \"PAD\"\n",
+    "        self._epoch_id = 0\n",
+    "\n",
+    "        # reconstruct flags for model\n",
+    "        self._model_num_labels = 0\n",
+    "        self._model_default_ind = -1\n",
+    "\n",
+    "        BaseModel.__init__(self, label_mapping, parameters)\n",
+    "\n",
+    "    def _validate_parameters(self, parameters):\n",
+    "        \"\"\"\n",
+    "        Validate the parameters sent in. Raise error if invalid parameters are\n",
+    "        present.\n",
+    "        \"\"\"\n",
+    "        errors = []\n",
+    "        list_of_necessary_params = [\n",
+    "            \"max_length\",\n",
+    "            \"max_char_encoding_id\",\n",
+    "            \"dim_embed\",\n",
+    "            \"size_fc\",\n",
+    "            \"dropout\",\n",
+    "            \"size_lstm\",\n",
+    "            \"rec_dropout\",\n",
+    "            \"activation\",\n",
+    "            \"recurrent_activation\",\n",
+    "            \"default_label\",\n",
+    "            \"pad_label\",\n",
+    "        ]\n",
+    "        # Make sure the necessary parameters are present and valid.\n",
+    "        for param in parameters:\n",
+    "            if param in [\n",
+    "                \"max_length\",\n",
+    "                \"max_char_encoding_id\",\n",
+    "                \"dim_embed\",\n",
+    "                \"size_conv\",\n",
+    "            ]:\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"greater than 0.\"\n",
+    "                    )\n",
+    "            elif param in [\n",
+    "                \"dropout\",\n",
+    "                \"rec_dropout\",\n",
+    "            ]:  # additional check for rec_dropout\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], (int, float))\n",
+    "                    or parameters[param] < 0\n",
+    "                    or parameters[param] > 1\n",
+    "                ):\n",
+    "                    errors.append(\n",
+    "                        param + \" must be a valid integer or float \" \"from 0 to 1.\"\n",
+    "                    )\n",
+    "            elif (\n",
+    "                param == \"size_fc\" or param == \"size_lstm\"\n",
+    "            ):  # additional check for size_lstm\n",
+    "                if (\n",
+    "                    not isinstance(parameters[param], list)\n",
+    "                    or len(parameters[param]) == 0\n",
+    "                ):\n",
+    "                    errors.append(param + \" must be a non-empty list of \" \"integers.\")\n",
+    "                else:\n",
+    "                    for item in parameters[param]:\n",
+    "                        if not isinstance(item, int):\n",
+    "                            errors.append(\n",
+    "                                param + \" must be a non-empty \" \"list of integers.\"\n",
+    "                            )\n",
+    "                            break\n",
+    "            elif param in [\n",
+    "                \"default_label\",\n",
+    "                \"activation\",\n",
+    "                \"recurrent_activation\",\n",
+    "            ]:  # additional check for activation and recurrent_activation\n",
+    "                if not isinstance(parameters[param], str):\n",
+    "                    error = str(param) + \" must be a string.\"\n",
+    "                    errors.append(error)\n",
+    "\n",
+    "        # Error if there are extra parameters thrown in\n",
+    "        for param in parameters:\n",
+    "            if param not in list_of_necessary_params:\n",
+    "                errors.append(param + \" is not an accepted parameter.\")\n",
+    "        if errors:\n",
+    "            raise ValueError(\"\\n\".join(errors))\n",
+    "\n",
+    "    def _construct_model(self):\n",
+    "        \"\"\"\n",
+    "        Model constructor for the data labeler. This also serves as a weight\n",
+    "        reset.\n",
+    "\n",
+    "        :return: None\n",
+    "        \"\"\"\n",
+    "        num_labels = self.num_labels\n",
+    "        default_ind = self.label_mapping[self._parameters[\"default_label\"]]\n",
+    "\n",
+    "        # Reset model\n",
+    "        tf.keras.backend.clear_session()\n",
+    "\n",
+    "        # generate glove embedding\n",
+    "        create_glove_char(self._parameters[\"dim_embed\"])\n",
+    "\n",
+    "        # generate model\n",
+    "        self._model = tf.keras.models.Sequential()\n",
+    "\n",
+    "        # default parameters\n",
+    "        max_length = self._parameters[\"max_length\"]\n",
+    "        max_char_encoding_id = self._parameters[\"max_char_encoding_id\"]\n",
+    "\n",
+    "        # Encoding layer\n",
+    "        def encoding_function(input_str):\n",
+    "            char_in_vector = CharacterLevelLstmModel._char_encoding_layer(\n",
+    "                input_str, max_char_encoding_id, max_length\n",
+    "            )\n",
+    "            return char_in_vector\n",
+    "\n",
+    "        self._model.add(tf.keras.layers.Input(shape=(None,), dtype=tf.string))\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Lambda(encoding_function, output_shape=tuple([max_length]))\n",
+    "        )\n",
+    "\n",
+    "        # Create a pre-trained weight matrix\n",
+    "        # character encoding indices range from 0 to max_char_encoding_id,\n",
+    "        # we add one extra index for out-of-vocabulary character\n",
+    "        embed_file = os.path.join(\n",
+    "            \"../dataprofiler/labelers\",\n",
+    "            \"embeddings/glove-reduced-{}D.txt\".format(self._parameters[\"dim_embed\"]),\n",
+    "        )\n",
+    "        embedding_matrix = np.zeros(\n",
+    "            (max_char_encoding_id + 2, self._parameters[\"dim_embed\"])\n",
+    "        )\n",
+    "        embedding_dict = build_embd_dictionary(embed_file)\n",
+    "\n",
+    "        input_shape = tuple([max_length])\n",
+    "        # Fill in the weight matrix: let pad and space be 0s\n",
+    "        for ascii_num in range(max_char_encoding_id):\n",
+    "            if chr(ascii_num) in embedding_dict:\n",
+    "                embedding_matrix[ascii_num + 1] = embedding_dict[chr(ascii_num)]\n",
+    "\n",
+    "        self._model.add(\n",
+    "            tf.keras.layers.Embedding(\n",
+    "                max_char_encoding_id + 2,\n",
+    "                self._parameters[\"dim_embed\"],\n",
+    "                weights=[embedding_matrix],\n",
+    "                input_length=input_shape[0],\n",
+    "                trainable=True,\n",
+    "            )\n",
+    "        )\n",
+    "\n",
+    "        # Add the lstm layers\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "        for size in self._parameters[\"size_lstm\"]:\n",
+    "            self._model.add(\n",
+    "                tf.keras.layers.LSTM(\n",
+    "                    units=size,\n",
+    "                    recurrent_dropout=self._parameters[\"rec_dropout\"],\n",
+    "                    activation=self._parameters[\"activation\"],\n",
+    "                    recurrent_activation=self._parameters[\"recurrent_activation\"],\n",
+    "                    return_sequences=True,\n",
+    "                )\n",
+    "            )\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "        #########################################################\n",
+    "        #########################################################\n",
+    "\n",
+    "        # Add the fully connected layers\n",
+    "        for size in self._parameters[\"size_fc\"]:\n",
+    "            self._model.add(tf.keras.layers.Dense(units=size, activation=\"relu\"))\n",
+    "            if self._parameters[\"dropout\"]:\n",
+    "                self._model.add(tf.keras.layers.Dropout(self._parameters[\"dropout\"]))\n",
+    "\n",
+    "        # Add the final Softmax layer\n",
+    "        self._model.add(tf.keras.layers.Dense(num_labels, activation=\"softmax\"))\n",
+    "\n",
+    "        # Output the model into a .pb file for TensorFlow\n",
+    "        argmax_layer = tf.keras.backend.argmax(self._model.output)\n",
+    "\n",
+    "        # Create confidence layers\n",
+    "        final_predicted_layer = CharacterLevelLstmModel._argmax_threshold_layer(\n",
+    "            num_labels, threshold=0.0, default_ind=default_ind\n",
+    "        )\n",
+    "\n",
+    "        argmax_outputs = self._model.outputs + [\n",
+    "            argmax_layer,\n",
+    "            final_predicted_layer(argmax_layer, self._model.output),\n",
+    "        ]\n",
+    "        self._model = tf.keras.Model(self._model.inputs, argmax_outputs)\n",
+    "\n",
+    "        # Compile the model\n",
+    "        softmax_output_layer_name = self._model.outputs[0].name.split(\"/\")[0]\n",
+    "        losses = {softmax_output_layer_name: \"categorical_crossentropy\"}\n",
+    "\n",
+    "        # use f1 score metric\n",
+    "        f1_score_training = F1Score(num_classes=num_labels, average=\"micro\")\n",
+    "        metrics = {softmax_output_layer_name: [\"acc\", f1_score_training]}\n",
+    "\n",
+    "        self._model.compile(loss=losses, optimizer=\"adam\", metrics=metrics)\n",
+    "\n",
+    "        self._epoch_id = 0\n",
+    "        self._model_num_labels = num_labels\n",
+    "        self._model_default_ind = default_ind"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "d66bd25c",
+   "metadata": {},
+   "source": [
+    "## Integrate the new LSTM model to the DataLabeler"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "479f407a",
+   "metadata": {},
+   "source": [
+    "Once the LSTM model is built, it replaces the existing model in the DataLabeler pipeline, which is then trained on the given dataset. Note that, as the DataLabeler is trained on the above tabular dataset, its label mapping is updated by the list of column names in that dataset while training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb482ffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# get labels from the given dataset\n",
+    "value_label_df = data_train.reset_index(drop=True).melt()\n",
+    "value_label_df.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "value_label_df = value_label_df.astype(str)\n",
+    "labels = value_label_df[1].unique().tolist()\n",
+    "\n",
+    "# create a new LSTM model\n",
+    "# set default label (one of the column names) to the model\n",
+    "model = CharacterLevelLstmModel(label_mapping=labels, parameters={'default_label': 'comment'})\n",
+    "\n",
+    "# add the new LSTM model to the data labeler\n",
+    "data_labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "data_labeler.set_model(model)\n",
+    "\n",
+    "# set default label (one of the column names) to the preprocessor and postprocessor\n",
+    "processor_params = {'default_label': 'comment'}\n",
+    "data_labeler._preprocessor.set_params(**processor_params)\n",
+    "data_labeler._postprocessor.set_params(**processor_params)\n",
+    "\n",
+    "# train the data labeler\n",
+    "save_dirpath=\"data_labeler_saved\"\n",
+    "if not os.path.exists(save_dirpath):\n",
+    "    os.makedirs(save_dirpath)\n",
+    "\n",
+    "epochs=2\n",
+    "data_labeler.fit(\n",
+    "    x=value_label_df[0], y=value_label_df[1], labels=labels, epochs=epochs)\n",
+    "if save_dirpath:\n",
+    "    data_labeler.save_to_disk(save_dirpath)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "14b78c69",
+   "metadata": {},
+   "source": [
+    "The trained Data Labeler is then used by the Data Profiler to provide the prediction on the new dataset. In this example, all options except data labeler are disabled for the sake of presenting data labeler functionality. The results are given in the columnar format where true column types are given in the first column, and the predicted column labels are given in the second column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bdfcf1d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the data labeler object\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "def get_structured_results(results):\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    for col_report in results['data_stats']:\n",
+    "        columns.append(col_report['column_name'])\n",
+    "        predictions.append(col_report['data_label'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions})\n",
+    "    return df_results\n",
+    "\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "cc60ff8a",
+   "metadata": {},
+   "source": [
+    "In summary, users can define their own model, plug it in the DataLabeler pipeline, and train the labeler with the new dataset. Above, we show one example of adding the LSTM model to the pipeline. Interested users can implement other neural network models as desired with the same process."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/column_name_labeler_example.html b/docs/0.10.3/html/column_name_labeler_example.html
new file mode 100644
index 000000000..376aa73db
--- /dev/null
+++ b/docs/0.10.3/html/column_name_labeler_example.html
@@ -0,0 +1,820 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Merge List of Profiles" href="merge_profile_list.html" /><link rel="prev" title="Building a Regex Data Labeler w/ your own Regex" href="regex_labeler_from_scratch.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>ColumnName Labeler Tutorial - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/column_name_labeler_example.nblink">View this notebook on GitHub</a></p>
+<section id="ColumnName-Labeler-Tutorial">
+<h1>ColumnName Labeler Tutorial<a class="headerlink" href="#ColumnName-Labeler-Tutorial" title="Permalink to this headline">¶</a></h1>
+<p>This notebook teaches how to use the existing <code class="docutils literal notranslate"><span class="pre">ColumnNameModel</span></code>:</p>
+<ol class="arabic simple">
+<li><p>Loading and utilizing the pre-existing <code class="docutils literal notranslate"><span class="pre">ColumnNameModel</span></code></p></li>
+<li><p>Run the labeler</p></li>
+</ol>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+from pprint import pprint
+
+import pandas as pd
+
+try:
+    import dataprofiler as dp
+except ImportError:
+    sys.path.insert(0, '../..')
+    import dataprofiler as dp
+</pre></div>
+</div>
+</div>
+<section id="Loading-and-predicting-using-a-pre-existing-model-using-load_from_library">
+<h2>Loading and predicting using a pre-existing model using <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code><a class="headerlink" href="#Loading-and-predicting-using-a-pre-existing-model-using-load_from_library" title="Permalink to this headline">¶</a></h2>
+<p>The easiest option for users is to <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code> by specifying the name for the labeler in the <code class="docutils literal notranslate"><span class="pre">resources/</span></code> folder. Quickly import and start predicting with any model from the Data Profiler’s library of models available.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>labeler_from_library = dp.DataLabeler.load_from_library('column_name_labeler')
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>labeler_from_library.predict(data=["ssn"])
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components">
+<h2>Loading and using the pre-existing column name labeler using <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code><a class="headerlink" href="#Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components" title="Permalink to this headline">¶</a></h2>
+<p>For example purposes here, we will import the exsting <code class="docutils literal notranslate"><span class="pre">ColumnName</span></code> labeler via the <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code> command from the <code class="docutils literal notranslate"><span class="pre">dp.DataLabeler</span></code>. This shows a bit more of the details of the data labeler’s flow.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>parameters = {
+            "true_positive_dict": [
+                {"attribute": "ssn", "label": "ssn"},
+                {"attribute": "suffix", "label": "name"},
+                {"attribute": "my_home_address", "label": "address"},
+            ],
+            "false_positive_dict": [
+                {
+                    "attribute": "contract_number",
+                    "label": "ssn",
+                },
+                {
+                    "attribute": "role",
+                    "label": "name",
+                },
+                {
+                    "attribute": "send_address",
+                    "label": "address",
+                },
+            ],
+            "negative_threshold_config": 50,
+            "positive_threshold_config": 85,
+            "include_label": True,
+        }
+
+label_mapping = {"ssn": 1, "name": 2, "address": 3}
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># pre processor
+preprocessor = dp.labelers.data_processing.DirectPassPreprocessor()
+
+# model
+from dataprofiler.labelers.column_name_model import ColumnNameModel
+model = ColumnNameModel(
+    parameters=parameters,
+    label_mapping=label_mapping,
+)
+
+
+# post processor
+postprocessor = dp.labelers.data_processing.ColumnNameModelPostprocessor()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler = dp.DataLabeler.load_with_components(
+    preprocessor=preprocessor,
+    model=model,
+    postprocessor=postprocessor,
+)
+data_labeler.model.help()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pprint(data_labeler.label_mapping)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pprint(data_labeler.model._parameters)
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-ColumnName-labeler">
+<h3>Predicting with the ColumnName labeler<a class="headerlink" href="#Predicting-with-the-ColumnName-labeler" title="Permalink to this headline">¶</a></h3>
+<p>In the prediction below, the data will be passed into to stages in the background - 1) <code class="docutils literal notranslate"><span class="pre">compare_negative</span></code>: The idea behind the <code class="docutils literal notranslate"><span class="pre">compare_negative</span></code> is to first filter out any possibility of flagging a false positive in the model prediction. In this step, the confidence value is checked and if the similarity is too close to being a false positive, that particular string in the <code class="docutils literal notranslate"><span class="pre">data</span></code> is removed and not returned to the <code class="docutils literal notranslate"><span class="pre">compare_positive</span></code>. - 2) <code class="docutils literal notranslate"><span class="pre">compare_positive</span></code>: Finally the <code class="docutils literal notranslate"><span class="pre">data</span></code> is
+passed to the <code class="docutils literal notranslate"><span class="pre">compare_positive</span></code> step and checked for similarity with the the <code class="docutils literal notranslate"><span class="pre">true_positive_dict</span></code> values. Again, during this stage the <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code> is used to filter the results to only those <code class="docutils literal notranslate"><span class="pre">data</span></code> values that are greater than or equal to the <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code> provided by the user.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># evaluate a prediction using the default parameters
+data_labeler.predict(data=["ssn", "name", "address"])
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Replacing-the-parameters-in-the-existing-labeler">
+<h2>Replacing the parameters in the existing labeler<a class="headerlink" href="#Replacing-the-parameters-in-the-existing-labeler" title="Permalink to this headline">¶</a></h2>
+<p>We can achieve this by: 1. Setting the label mapping to the new labels 2. Setting the model parameters which include: <code class="docutils literal notranslate"><span class="pre">true_positive_dict</span></code>, <code class="docutils literal notranslate"><span class="pre">false_positive_dict</span></code>, <code class="docutils literal notranslate"><span class="pre">negative_threshold_config</span></code>, <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code>, and <code class="docutils literal notranslate"><span class="pre">include_label</span></code></p>
+<p>where <code class="docutils literal notranslate"><span class="pre">true_positive_dict</span></code> and <code class="docutils literal notranslate"><span class="pre">false_positive_dict</span></code> are <code class="docutils literal notranslate"><span class="pre">lists</span></code> of <code class="docutils literal notranslate"><span class="pre">dicts</span></code>, <code class="docutils literal notranslate"><span class="pre">negative_threshold_config</span></code> and <code class="docutils literal notranslate"><span class="pre">positive_threshold_config</span></code> are integer values between <code class="docutils literal notranslate"><span class="pre">0</span></code> and <code class="docutils literal notranslate"><span class="pre">100</span></code>, and <code class="docutils literal notranslate"><span class="pre">include_label</span></code> is a <code class="docutils literal notranslate"><span class="pre">boolean</span></code> value that determines if the output should include the prediction labels or only the confidence values.</p>
+<p>Below, we created 4 labels where <code class="docutils literal notranslate"><span class="pre">other</span></code> is the <code class="docutils literal notranslate"><span class="pre">default_label</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.set_labels({'other': 0, "funky_one": 1, "funky_two": 2, "funky_three": 3})
+data_labeler.model.set_params(
+    true_positive_dict= [
+                {"attribute": "ssn", "label": "funky_one"},
+                {"attribute": "suffix", "label": "funky_two"},
+                {"attribute": "my_home_address", "label": "funky_three"},
+            ],
+    false_positive_dict=[
+                {
+                    "attribute": "contract_number",
+                    "label": "ssn",
+                },
+                {
+                    "attribute": "role",
+                    "label": "name",
+                },
+                {
+                    "attribute": "not_my_address",
+                    "label": "address",
+                },
+            ],
+    negative_threshold_config=50,
+    positive_threshold_config=85,
+    include_label=True,
+)
+data_labeler.label_mapping
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-new-labels">
+<h3>Predicting with the new labels<a class="headerlink" href="#Predicting-with-the-new-labels" title="Permalink to this headline">¶</a></h3>
+<p>Here we are testing the <code class="docutils literal notranslate"><span class="pre">predict()</span></code> method with brand new labels for label_mapping. As we can see the new labels flow throught to the output of the data labeler.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.predict(data=["ssn", "suffix"], predict_options=dict(show_confidences=True))
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Saving-the-Data-Labeler-for-future-use">
+<h2>Saving the Data Labeler for future use<a class="headerlink" href="#Saving-the-Data-Labeler-for-future-use" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>if not os.path.isdir('new_column_name_labeler'):
+    os.mkdir('new_column_name_labeler')
+data_labeler.save_to_disk('new_column_name_labeler')
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Loading-the-saved-Data-Labeler">
+<h2>Loading the saved Data Labeler<a class="headerlink" href="#Loading-the-saved-Data-Labeler" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>saved_labeler = dp.DataLabeler.load_from_disk('new_column_name_labeler')
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># ensuring the parametesr are what we saved.
+print("label_mapping:")
+pprint(saved_labeler.label_mapping)
+print("\nmodel parameters:")
+pprint(saved_labeler.model._parameters)
+print()
+print("postprocessor: " + saved_labeler.postprocessor.__class__.__name__)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># predicting with the loaded labeler.
+saved_labeler.predict(["ssn", "name", "address"])
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="merge_profile_list.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Merge List of Profiles</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="regex_labeler_from_scratch.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Building a Regex Data Labeler w/ your own Regex</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/column_name_labeler_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">ColumnName Labeler Tutorial</a><ul>
+<li><a class="reference internal" href="#Loading-and-predicting-using-a-pre-existing-model-using-load_from_library">Loading and predicting using a pre-existing model using <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code></a></li>
+<li><a class="reference internal" href="#Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components">Loading and using the pre-existing column name labeler using <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code></a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-ColumnName-labeler">Predicting with the ColumnName labeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Replacing-the-parameters-in-the-existing-labeler">Replacing the parameters in the existing labeler</a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-new-labels">Predicting with the new labels</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li><a class="reference internal" href="#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/column_name_labeler_example.ipynb b/docs/0.10.3/html/column_name_labeler_example.ipynb
new file mode 100644
index 000000000..6d3369698
--- /dev/null
+++ b/docs/0.10.3/html/column_name_labeler_example.ipynb
@@ -0,0 +1,364 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# ColumnName Labeler Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing `ColumnNameModel`:\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing `ColumnNameModel`\n",
+    "2. Run the labeler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35841215",
+   "metadata": {},
+   "source": [
+    "## Loading and predicting using a pre-existing model using `load_from_library`\n",
+    "\n",
+    "The easiest option for users is to `load_from_library` by specifying the name for the labeler in the `resources/` folder. Quickly import and start predicting with any model from the Data Profiler's library of models available."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46e36dd6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library = dp.DataLabeler.load_from_library('column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dfa94868",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labeler_from_library.predict(data=[\"ssn\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing column name labeler using `load_with_components`\n",
+    "\n",
+    "For example purposes here, we will import the exsting `ColumnName` labeler via the `load_with_components` command from the `dp.DataLabeler`. This shows a bit more of the details of the data labeler's flow."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "818c5b88",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "parameters = {\n",
+    "            \"true_positive_dict\": [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"ssn\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"name\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"address\"},\n",
+    "            ],\n",
+    "            \"false_positive_dict\": [\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"send_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "            \"negative_threshold_config\": 50,\n",
+    "            \"positive_threshold_config\": 85,\n",
+    "            \"include_label\": True,\n",
+    "        }\n",
+    "\n",
+    "label_mapping = {\"ssn\": 1, \"name\": 2, \"address\": 3}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9098329e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pre processor \n",
+    "preprocessor = dp.labelers.data_processing.DirectPassPreprocessor()\n",
+    "\n",
+    "# model\n",
+    "from dataprofiler.labelers.column_name_model import ColumnNameModel\n",
+    "model = ColumnNameModel(\n",
+    "    parameters=parameters,\n",
+    "    label_mapping=label_mapping,\n",
+    ")\n",
+    "\n",
+    "\n",
+    "# post processor\n",
+    "postprocessor = dp.labelers.data_processing.ColumnNameModelPostprocessor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_with_components(\n",
+    "    preprocessor=preprocessor,\n",
+    "    model=model,\n",
+    "    postprocessor=postprocessor,\n",
+    ")\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the ColumnName labeler\n",
+    "\n",
+    "In the prediction below, the data will be passed into to stages in the background\n",
+    "- 1) `compare_negative`: The idea behind the `compare_negative` is to first filter out any possibility of flagging a false positive in the model prediction. In this step, the confidence value is checked and if the similarity is too close to being a false positive, that particular string in the `data` is removed and not returned to the `compare_positive`.\n",
+    "- 2) `compare_positive`: Finally the `data` is passed to the `compare_positive` step and checked for similarity with the the `true_positive_dict` values. Again, during this stage the `positive_threshold_config` is used to filter the results to only those `data` values that are greater than or equal to the `positive_threshold_config` provided by the user."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(data=[\"ssn\", \"name\", \"address\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the parameters in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `true_positive_dict`, `false_positive_dict`, `negative_threshold_config`, `positive_threshold_config`, and `include_label`\n",
+    "\n",
+    "where `true_positive_dict` and `false_positive_dict` are `lists` of `dicts`, `negative_threshold_config` and `positive_threshold_config` are integer values between `0` and `100`, and `include_label` is a `boolean` value that determines if the output should include the prediction labels or only the confidence values."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, \"funky_one\": 1, \"funky_two\": 2, \"funky_three\": 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    true_positive_dict= [\n",
+    "                {\"attribute\": \"ssn\", \"label\": \"funky_one\"},\n",
+    "                {\"attribute\": \"suffix\", \"label\": \"funky_two\"},\n",
+    "                {\"attribute\": \"my_home_address\", \"label\": \"funky_three\"},\n",
+    "            ],\n",
+    "    false_positive_dict=[\n",
+    "                {\n",
+    "                    \"attribute\": \"contract_number\",\n",
+    "                    \"label\": \"ssn\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"role\",\n",
+    "                    \"label\": \"name\",\n",
+    "                },\n",
+    "                {\n",
+    "                    \"attribute\": \"not_my_address\",\n",
+    "                    \"label\": \"address\",\n",
+    "                },\n",
+    "            ],\n",
+    "    negative_threshold_config=50,\n",
+    "    positive_threshold_config=85,\n",
+    "    include_label=True,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new labels\n",
+    "\n",
+    "Here we are testing the `predict()` method with brand new labels for label_mapping. As we can see the new labels flow throught to the output of the data labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(data=[\"ssn\", \"suffix\"], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('new_column_name_labeler'):\n",
+    "    os.mkdir('new_column_name_labeler')\n",
+    "data_labeler.save_to_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('new_column_name_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict([\"ssn\", \"name\", \"address\"])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/data_labeling.html b/docs/0.10.3/html/data_labeling.html
new file mode 100644
index 000000000..ba738281b
--- /dev/null
+++ b/docs/0.10.3/html/data_labeling.html
@@ -0,0 +1,615 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graphs" href="graphs.html" /><link rel="prev" title="Profiler" href="profiler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Labeler (Sensitive Data) - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="labeler-sensitive-data">
+<span id="data-labeling"></span><h1>Labeler (Sensitive Data)<a class="headerlink" href="#labeler-sensitive-data" title="Permalink to this headline">¶</a></h1>
+<p>In this library, the term <em>data labeling</em> refers to entity recognition.</p>
+<p>Builtin to the data profiler is a classifier which evaluates the complex data types of the dataset.
+For structured data, it determines the complex data type of each column. When
+running the data profile, it uses the default data labeling model builtin to the
+library. However, the data labeler allows users to train their own data labeler
+as well.</p>
+<p><em>Data Labels</em> are determined per cell for structured data (column/row when
+the <em>profiler</em> is used) or at the character level for unstructured data. This
+is a list of the default labels.</p>
+<ul class="simple">
+<li><p>UNKNOWN</p></li>
+<li><p>ADDRESS</p></li>
+<li><p>BAN (bank account number, 10-18 digits)</p></li>
+<li><p>CREDIT_CARD</p></li>
+<li><p>EMAIL_ADDRESS</p></li>
+<li><p>UUID</p></li>
+<li><p>HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)</p></li>
+<li><p>IPV4</p></li>
+<li><p>IPV6</p></li>
+<li><p>MAC_ADDRESS</p></li>
+<li><p>PERSON</p></li>
+<li><p>PHONE_NUMBER</p></li>
+<li><p>SSN</p></li>
+<li><p>URL</p></li>
+<li><p>US_STATE</p></li>
+<li><p>DRIVERS_LICENSE</p></li>
+<li><p>DATE</p></li>
+<li><p>TIME</p></li>
+<li><p>DATETIME</p></li>
+<li><p>INTEGER</p></li>
+<li><p>FLOAT</p></li>
+<li><p>QUANTITY</p></li>
+<li><p>ORDINAL</p></li>
+</ul>
+<section id="identify-entities-in-structured-data">
+<h2>Identify Entities in Structured Data<a class="headerlink" href="#identify-entities-in-structured-data" title="Permalink to this headline">¶</a></h2>
+<p>Makes predictions and identifying labels:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># load data and data labeler</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_data.csv"</span><span class="p">)</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="c1"># make predictions and get labels per cell</span>
+<span class="n">predictions</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="identify-entities-in-unstructured-data">
+<h2>Identify Entities in Unstructured Data<a class="headerlink" href="#identify-entities-in-unstructured-data" title="Permalink to this headline">¶</a></h2>
+<p>Predict which class characters belong to in unstructured text:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">)</span>
+
+<span class="c1"># Example sample string, must be in an array (multiple arrays can be passed)</span>
+<span class="n">sample</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"Help</span><span class="se">\t</span><span class="s2">John Macklemore</span><span class="se">\t</span><span class="s2">needs</span><span class="se">\t</span><span class="s2">food.</span><span class="se">\t</span><span class="s2">Please</span><span class="se">\t</span><span class="s2">Call</span><span class="se">\t</span><span class="s2">555-301-1234."</span>
+          <span class="s2">"</span><span class="se">\t</span><span class="s2">His</span><span class="se">\t</span><span class="s2">ssn</span><span class="se">\t</span><span class="s2">is</span><span class="se">\t</span><span class="s2">not</span><span class="se">\t</span><span class="s2">334-97-1234. I'm a BAN: 000043219499392912.</span><span class="se">\n</span><span class="s2">"</span><span class="p">]</span>
+
+<span class="c1"># Prediction what class each character belongs to</span>
+<span class="n">model_predictions</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span>
+    <span class="n">sample</span><span class="p">,</span> <span class="n">predict_options</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">show_confidences</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
+
+<span class="c1"># Predictions / confidences are at the character level</span>
+<span class="n">final_results</span> <span class="o">=</span> <span class="n">model_predictions</span><span class="p">[</span><span class="s2">"pred"</span><span class="p">]</span>
+<span class="n">final_confidences</span> <span class="o">=</span> <span class="n">model_predictions</span><span class="p">[</span><span class="s2">"conf"</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>It’s also possible to change output formats, output similar to a <strong>SpaCy</strong> format:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'unstructured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Example sample string, must be in an array (multiple arrays can be passed)</span>
+<span class="n">sample</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"Help</span><span class="se">\t</span><span class="s2">John Macklemore</span><span class="se">\t</span><span class="s2">needs</span><span class="se">\t</span><span class="s2">food.</span><span class="se">\t</span><span class="s2">Please</span><span class="se">\t</span><span class="s2">Call</span><span class="se">\t</span><span class="s2">555-301-1234."</span>
+          <span class="s2">"</span><span class="se">\t</span><span class="s2">His</span><span class="se">\t</span><span class="s2">ssn</span><span class="se">\t</span><span class="s2">is</span><span class="se">\t</span><span class="s2">not</span><span class="se">\t</span><span class="s2">334-97-1234. I'm a BAN: 000043219499392912.</span><span class="se">\n</span><span class="s2">"</span><span class="p">]</span>
+
+<span class="c1"># Set the output to the NER format (start position, end position, label)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_params</span><span class="p">(</span>
+    <span class="p">{</span> <span class="s1">'postprocessor'</span><span class="p">:</span> <span class="p">{</span> <span class="s1">'output_format'</span><span class="p">:</span><span class="s1">'ner'</span><span class="p">,</span> <span class="s1">'use_word_level_argmax'</span><span class="p">:</span><span class="kc">True</span> <span class="p">}</span> <span class="p">}</span>
+<span class="p">)</span>
+
+<span class="n">results</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">predict</span><span class="p">(</span><span class="n">sample</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">results</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="train-a-new-data-labeler">
+<h2>Train a New Data Labeler<a class="headerlink" href="#train-a-new-data-labeler" title="Permalink to this headline">¶</a></h2>
+<p>Mechanism for training your own data labeler on their own set of structured data
+(tabular):</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># Will need one column with a default label of UNKNOWN</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">train_structured_labeler</span><span class="p">(</span>
+    <span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span>
+    <span class="n">save_dirpath</span><span class="o">=</span><span class="s2">"/path/to/save/labeler"</span><span class="p">,</span>
+    <span class="n">epochs</span><span class="o">=</span><span class="mi">2</span>
+<span class="p">)</span>
+
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">save_to_disk</span><span class="p">(</span><span class="s2">"my/save/path"</span><span class="p">)</span> <span class="c1"># Saves the data labeler for reuse</span>
+</pre></div>
+</div>
+</section>
+<section id="load-an-existing-data-labeler">
+<h2>Load an Existing Data Labeler<a class="headerlink" href="#load-an-existing-data-labeler" title="Permalink to this headline">¶</a></h2>
+<p>Mechanism for loading an existing data_labeler:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span>
+    <span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">dirpath</span><span class="o">=</span><span class="s2">"/path/to/my/labeler"</span><span class="p">)</span>
+
+<span class="c1"># get information about the parameters/inputs/output formats for the DataLabeler</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">help</span><span class="p">()</span>
+</pre></div>
+</div>
+</section>
+<section id="extending-a-data-labeler-with-transfer-learning">
+<h2>Extending a Data Labeler with Transfer Learning<a class="headerlink" href="#extending-a-data-labeler-with-transfer-learning" title="Permalink to this headline">¶</a></h2>
+<p>Extending or changing labels of a data labeler w/ transfer learning:
+Note: By default, <strong>a labeler loaded will not be trainable</strong>. In order to load a
+trainable DataLabeler, the user must set <cite>trainable=True</cite> or load a labeler
+using the <cite>TrainableDataLabeler</cite> class.</p>
+<p>The following illustrates how to change the labels:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'label1'</span><span class="p">,</span> <span class="s1">'label2'</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>  <span class="c1"># new label set can also be an encoding dict</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>  <span class="c1"># contains data with new labels</span>
+
+<span class="c1"># load default structured Data Labeler w/ trainable set to True</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># this will use transfer learning to retrain the data labeler on your new</span>
+<span class="c1"># dataset and labels.</span>
+<span class="c1"># NOTE: data must be in an acceptable format for the preprocessor to interpret.</span>
+<span class="c1">#       please refer to the preprocessor/model for the expected data format.</span>
+<span class="c1">#       Currently, the DataLabeler cannot take in Tabular data, but requires</span>
+<span class="c1">#       data to be ingested with two columns [X, y] where X is the samples and</span>
+<span class="c1">#       y is the labels.</span>
+<span class="n">model_results</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'samples'</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span>
+                                 <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">labels</span><span class="o">=</span><span class="n">labels</span><span class="p">)</span>
+
+<span class="c1"># final_results, final_confidences are a list of results for each epoch</span>
+<span class="n">epoch_id</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="n">final_results</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"pred"</span><span class="p">]</span>
+<span class="n">final_confidences</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"conf"</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>The following illustrates how to extend the labels:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">new_labels</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'label1'</span><span class="p">,</span> <span class="s1">'label2'</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>  <span class="c1"># contains data with new labels</span>
+
+<span class="c1"># load default structured Data Labeler w/ trainable set to True</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">,</span> <span class="n">trainable</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># this will maintain current labels and model weights, but extend the model's</span>
+<span class="c1"># labels</span>
+<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">new_labels</span><span class="p">:</span>
+    <span class="n">data_labeler</span><span class="o">.</span><span class="n">add_label</span><span class="p">(</span><span class="n">label</span><span class="p">)</span>
+
+<span class="c1"># NOTE: a user can also add a label which maps to the same index as an existing</span>
+<span class="c1"># label</span>
+<span class="c1"># data_labeler.add_label(label, same_as='&lt;label_name&gt;')</span>
+
+<span class="c1"># For a trainable model, the user must then train the model to be able to</span>
+<span class="c1"># continue using the labeler since the model's graph has likely changed</span>
+<span class="c1"># NOTE: data must be in an acceptable format for the preprocessor to interpret.</span>
+<span class="c1">#       please refer to the preprocessor/model for the expected data format.</span>
+<span class="c1">#       Currently, the DataLabeler cannot take in Tabular data, but requires</span>
+<span class="c1">#       data to be ingested with two columns [X, y] where X is the samples and</span>
+<span class="c1">#       y is the labels.</span>
+<span class="n">model_results</span> <span class="o">=</span> <span class="n">data_labeler</span><span class="o">.</span><span class="n">fit</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'samples'</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s1">'labels'</span><span class="p">],</span>
+                                 <span class="n">validation_split</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">epochs</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+
+<span class="c1"># final_results, final_confidences are a list of results for each epoch</span>
+<span class="n">epoch_id</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="n">final_results</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"pred"</span><span class="p">]</span>
+<span class="n">final_confidences</span> <span class="o">=</span> <span class="n">model_results</span><span class="p">[</span><span class="n">epoch_id</span><span class="p">][</span><span class="s2">"conf"</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>Changing pipeline parameters:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># load default Data Labeler</span>
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+
+<span class="c1"># change parameters of specific component</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">preprocessor</span><span class="o">.</span><span class="n">set_params</span><span class="p">({</span><span class="s1">'param1'</span><span class="p">:</span> <span class="s1">'value1'</span><span class="p">})</span>
+
+<span class="c1"># change multiple simultaneously.</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_params</span><span class="p">({</span>
+    <span class="s1">'preprocessor'</span><span class="p">:</span>  <span class="p">{</span><span class="s1">'param1'</span><span class="p">:</span> <span class="s1">'value1'</span><span class="p">},</span>
+    <span class="s1">'model'</span><span class="p">:</span>         <span class="p">{</span><span class="s1">'param2'</span><span class="p">:</span> <span class="s1">'value2'</span><span class="p">},</span>
+    <span class="s1">'postprocessor'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'param3'</span><span class="p">:</span> <span class="s1">'value3'</span><span class="p">}</span>
+<span class="p">})</span>
+</pre></div>
+</div>
+<section id="build-your-own-data-labeler">
+<h3>Build Your Own Data Labeler<a class="headerlink" href="#build-your-own-data-labeler" title="Permalink to this headline">¶</a></h3>
+<p>The DataLabeler has 3 main components: preprocessor, model, and postprocessor.
+To create your own DataLabeler, each one would have to be created or an
+existing component can be reused.</p>
+<p>Given a set of the 3 components, you can construct your own DataLabeler:</p>
+<p>Option for swapping out specific components of an existing labeler.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.character_level_cnn_model</span> <span class="kn">import</span> \
+    <span class="n">CharacterLevelCnnModel</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.labelers.data_processing</span> <span class="kn">import</span> \
+    <span class="n">StructCharPreprocessor</span><span class="p">,</span> <span class="n">StructCharPostprocessor</span>
+
+<span class="n">model</span> <span class="o">=</span> <span class="n">CharacterLevelCnnModel</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="n">preprocessor</span> <span class="o">=</span> <span class="n">StructCharPreprocessor</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="n">postprocessor</span> <span class="o">=</span> <span class="n">StructCharPostprocessor</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+
+<span class="n">data_labeler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">DataLabeler</span><span class="p">(</span><span class="n">labeler_type</span><span class="o">=</span><span class="s1">'structured'</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_preprocessor</span><span class="p">(</span><span class="n">preprocessor</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_model</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">set_postprocessor</span><span class="p">(</span><span class="n">postprocessor</span><span class="p">)</span>
+
+<span class="c1"># check for basic compatibility between the processors and the model</span>
+<span class="n">data_labeler</span><span class="o">.</span><span class="n">check_pipeline</span><span class="p">()</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="model-component">
+<h2>Model Component<a class="headerlink" href="#model-component" title="Permalink to this headline">¶</a></h2>
+<p>In order to create your own model component for data labeling, you can utilize
+the <cite>BaseModel</cite> class from <cite>dataprofiler.labelers.base_model</cite> and
+overriding the abstract class methods.</p>
+<p>Reviewing <cite>CharacterLevelCnnModel</cite> from
+<cite>dataprofiler.labelers.character_level_cnn_model</cite> illustrates the functions
+which need an override.</p>
+<ol class="arabic simple">
+<li><p><cite>__init__</cite>: specifying default parameters and calling base <cite>__init__</cite></p></li>
+<li><p><cite>_validate_parameters</cite>: validating parameters given by user during setting</p></li>
+<li><p><cite>_need_to_reconstruct_model</cite>: flag for when to reconstruct a model (i.e.
+parameters change or labels change require a model reconstruction)</p></li>
+<li><p><cite>_construct_model</cite>: initial construction of the model given the parameters</p></li>
+<li><p><cite>_reconstruct_model</cite>: updates model architecture for new label set while
+maintaining current model weights</p></li>
+<li><p><cite>fit</cite>: mechanism for the model to learn given training data</p></li>
+<li><p><cite>predict</cite>: mechanism for model to make predictions on data</p></li>
+<li><p><cite>details</cite>: prints a summary of the model construction</p></li>
+<li><p><cite>save_to_disk</cite>: saves model and model parameters to disk</p></li>
+<li><p><cite>load_from_disk</cite>: loads model given a path on disk</p></li>
+</ol>
+</section>
+<section id="preprocessor-component">
+<h2>Preprocessor Component<a class="headerlink" href="#preprocessor-component" title="Permalink to this headline">¶</a></h2>
+<p>In order to create your own preprocessor component for data labeling, you can
+utilize the <cite>BaseDataPreprocessor</cite> class
+from <cite>dataprofiler.labelers.data_processing</cite> and override the abstract class
+methods.</p>
+<p>Reviewing <cite>StructCharPreprocessor</cite> from
+<cite>dataprofiler.labelers.data_processing</cite> illustrates the functions which
+need an override.</p>
+<ol class="arabic simple">
+<li><p><cite>__init__</cite>: passing parameters to the base class and executing any
+extraneous calculations to be saved as parameters</p></li>
+<li><p><cite>_validate_parameters</cite>: validating parameters given by user during
+setting</p></li>
+<li><p><cite>process</cite>: takes in the user data and converts it into an digestible,
+iterable format for the model</p></li>
+<li><p><cite>set_params</cite> (optional): if a parameter requires processing before setting,
+a user can override this function to assist with setting the parameter</p></li>
+<li><p><cite>_save_processor</cite> (optional): if a parameter is not JSON serializable, a
+user can override this function to assist in saving the processor and its
+parameters</p></li>
+<li><p><cite>load_from_disk</cite> (optional): if a parameter(s) is not JSON serializable, a
+user can override this function to assist in loading the processor</p></li>
+</ol>
+</section>
+<section id="postprocessor-component">
+<h2>Postprocessor Component<a class="headerlink" href="#postprocessor-component" title="Permalink to this headline">¶</a></h2>
+<p>The postprocessor is nearly identical to the preprocessor except it handles
+the output of the model for processing. In order to create your own
+postprocessor component for data  labeling, you can utilize the
+<cite>BaseDataPostprocessor</cite> class from  <cite>dataprofiler.labelers.data_processing</cite>
+and override the abstract class methods.</p>
+<p>Reviewing <cite>StructCharPostprocessor</cite> from
+<cite>dataprofiler.labelers.data_processing</cite> illustrates the functions which
+need an override.</p>
+<ol class="arabic simple">
+<li><p><cite>__init__</cite>: passing parameters to the base class and executing any
+extraneous calculations to be saved as parameters</p></li>
+<li><p><cite>_validate_parameters</cite>: validating parameters given by user during
+setting</p></li>
+<li><p><cite>process</cite>: takes in the output of the model and processes for output to
+the user</p></li>
+<li><p><cite>set_params</cite> (optional): if a parameter requires processing before setting,
+a user can override this function to assist with setting the parameter</p></li>
+<li><p><cite>_save_processor</cite> (optional): if a parameter is not JSON serializable, a
+user can override this function to assist in saving the processor and its
+parameters</p></li>
+<li><p><cite>load_from_disk</cite> (optional): if a parameter(s) is not JSON serializable, a
+user can override this function to assist in loading the processor</p></li>
+</ol>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="graphs.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graphs</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="profiler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profiler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/data_labeling.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Labeler (Sensitive Data)</a><ul>
+<li><a class="reference internal" href="#identify-entities-in-structured-data">Identify Entities in Structured Data</a></li>
+<li><a class="reference internal" href="#identify-entities-in-unstructured-data">Identify Entities in Unstructured Data</a></li>
+<li><a class="reference internal" href="#train-a-new-data-labeler">Train a New Data Labeler</a></li>
+<li><a class="reference internal" href="#load-an-existing-data-labeler">Load an Existing Data Labeler</a></li>
+<li><a class="reference internal" href="#extending-a-data-labeler-with-transfer-learning">Extending a Data Labeler with Transfer Learning</a><ul>
+<li><a class="reference internal" href="#build-your-own-data-labeler">Build Your Own Data Labeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#model-component">Model Component</a></li>
+<li><a class="reference internal" href="#preprocessor-component">Preprocessor Component</a></li>
+<li><a class="reference internal" href="#postprocessor-component">Postprocessor Component</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/data_reader.html b/docs/0.10.3/html/data_reader.html
new file mode 100644
index 000000000..c82048c5c
--- /dev/null
+++ b/docs/0.10.3/html/data_reader.html
@@ -0,0 +1,1101 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Structured Profilers" href="profiler_example.html" /><link rel="prev" title="Data Profiler - What’s in your data?" href="overview.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Intro to Data Readers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/data_reader.nblink">View this notebook on GitHub</a></p>
+<section id="Intro-to-Data-Readers">
+<h1>Intro to Data Readers<a class="headerlink" href="#Intro-to-Data-Readers" title="Permalink to this headline">¶</a></h1>
+<p>Within the Data Profiler, there are 5 data reader classes:</p>
+<ul class="simple">
+<li><p>CSVData (delimited data: CSV, TSV, etc.)</p></li>
+<li><p>JSONData</p></li>
+<li><p>ParquetData</p></li>
+<li><p>AVROData</p></li>
+<li><p>GraphData</p></li>
+<li><p>TextData</p></li>
+</ul>
+<p>Each of these classes can be used to read data individually, however the Data Profiler provides the unique capability of auto detecting what data you have and reading it automatically by using the <code class="docutils literal notranslate"><span class="pre">Data</span></code> class.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'/path/to/mydata.abc'</span><span class="p">)</span>  <span class="c1"># auto detects and reads your data</span>
+</pre></div>
+</div>
+<section id="Automatically-reading-and-detecting-data">
+<h2>Automatically reading and detecting data<a class="headerlink" href="#Automatically-reading-and-detecting-data" title="Permalink to this headline">¶</a></h2>
+<p>Below is a demonstration of utilizing the <code class="docutils literal notranslate"><span class="pre">Data</span></code> class which automatically detects the type of data for a given file and reads it automatically.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+except ImportError:
+    import dataprofiler as dp
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># use data reader to read input data with different file types
+data_folder = "../dataprofiler/tests/data"
+csv_files = [
+    "csv/aws_honeypot_marx_geo.csv",
+    "csv/all-strings-skip-header-author.csv", # csv files with the author/description on the first line
+    "csv/sparse-first-and-last-column-empty-first-row.txt", # csv file with the .txt extension
+]
+json_files = [
+    "json/complex_nested.json",
+    "json/honeypot_intentially_mislabeled_file.csv", # json file with the .csv extension
+]
+parquet_files = [
+    "parquet/nation.dict.parquet",
+    "parquet/nation.plain.intentionally_mislabled_file.csv", # parquet file with the .csv extension
+]
+avro_files = [
+    "avro/userdata1.avro",
+    "avro/userdata1_intentionally_mislabled_file.json", # avro file with the .json extension
+]
+graph_files = [
+    "csv/graph_data_csv_identify.csv", # csv file with graph column names
+]
+text_files = [
+    "txt/discussion_reddit.txt",
+]
+all_files = csv_files + json_files + parquet_files + avro_files + graph_files + text_files
+print('filepath' + ' ' * 58 + 'data type')
+print('='*80)
+for file in all_files:
+    filepath = os.path.join(data_folder, file)
+    data = dp.Data(filepath)
+    print("{:&lt;65} {:&lt;15}".format(file, data.data_type))
+print("\n")
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># importing from a url
+data = dp.Data('https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/diamonds.csv')
+data.head()
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Specifying-detection-options-of-Data-and-loading-pandas.DataFrame">
+<h2>Specifying detection options of <code class="docutils literal notranslate"><span class="pre">Data</span></code> and loading <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code><a class="headerlink" href="#Specifying-detection-options-of-Data-and-loading-pandas.DataFrame" title="Permalink to this headline">¶</a></h2>
+<p>The <code class="docutils literal notranslate"><span class="pre">Data</span></code> class also gives the ability to set options or if the user wants to load their data with specific requirements. Options for each data reader are specified in the docs: <a class="reference external" href="https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html">https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html</a></p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="n">options</span> <span class="o">=</span> <span class="p">{</span><span class="o">...</span><span class="p">}</span>  <span class="c1"># allowed options are specified for each data reader.</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">options</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Later in this tutorial, the options for the CSVData class will be discussed.</p>
+<p>Additionally, a user can directly load a <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code> as any data reader they choose.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import pandas as pd
+from dataprofiler.data_readers.csv_data import CSVData
+
+
+df = pd.DataFrame(['my', 'random', 'data'])
+
+# specify via the `Data` class
+data = dp.Data(data=df, data_type='csv')
+print('Data Type: ', data.data_type)
+
+# specifically use the CSVData class
+data = CSVData(data=df)
+print('Data Type: ', data.data_type)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Accessing-data-and-attributes">
+<h2>Accessing data and attributes<a class="headerlink" href="#Accessing-data-and-attributes" title="Permalink to this headline">¶</a></h2>
+<p>Once loaded, the data can be accessed via the <code class="docutils literal notranslate"><span class="pre">data</span></code> property of the object. Additional information about the data loaded may differ between data readers.</p>
+<p>For this example we will focus on <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>filepath = "../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"
+data = dp.Data(filepath)
+print('Data Type: ', data.data_type)
+print('Data Filepath: ', data.input_file_path)
+print('File Encoding: ', data.file_encoding)
+print('Data Length (two techniques): ', len(data), data.length)
+print("Data Access:")
+data.data
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Checking-data-file-types-with-is_match">
+<h2>Checking data file types with <code class="docutils literal notranslate"><span class="pre">is_match</span></code><a class="headerlink" href="#Checking-data-file-types-with-is_match" title="Permalink to this headline">¶</a></h2>
+<p>Each data reader has a class method <code class="docutils literal notranslate"><span class="pre">is_match</span></code> which determines whether or not a dataset is of a given data type.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">CSVData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">JSONData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">ParquetData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">AVROData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">GraphData</span><span class="o">.</span><span class="n">is_match</span>
+<span class="n">TextData</span><span class="o">.</span><span class="n">is_match</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># supplemental function
+def add_true_false_color(value):
+    """Converts True to green and False to red in printed text."""
+    if value:
+        return "\x1b[92m  " + str(is_match) + "\x1b[0m"
+    return "\x1b[31m " + str(is_match) + "\x1b[0m"
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>from dataprofiler.data_readers.csv_data import CSVData
+
+
+non_csv_files = [
+    'json/iris-utf-8.json',
+    'json/honeypot_intentially_mislabeled_file.csv',
+    'parquet/titanic.parq',
+    'parquet/nation.plain.intentionally_mislabled_file.csv',
+    'txt/code.txt',
+    'txt/sentence.txt',
+    'avro/users.avro',
+    'avro/snappy_compressed_intentionally_mislabeled_file.csv',
+]
+
+print("Is the file a CSV?")
+print('=' * 80)
+for file in csv_files:
+    filepath = os.path.join(data_folder, file)
+    is_match = CSVData.is_match(filepath)
+    print(add_true_false_color(is_match), ':', file)
+    print('=' * 80)
+
+for file in non_csv_files:
+    filepath = os.path.join(data_folder, file)
+    is_match = CSVData.is_match(filepath)
+    print(add_true_false_color(is_match), ':', file)
+    print('=' * 80)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Reloading-data-after-altering-options-with-reload">
+<h2>Reloading data after altering options with <code class="docutils literal notranslate"><span class="pre">reload</span></code><a class="headerlink" href="#Reloading-data-after-altering-options-with-reload" title="Permalink to this headline">¶</a></h2>
+<p>There are two cases for using the reload function, both of which require the data type to have been interpreted correctly:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>1. The options were not correctly determined
+2. The options were loaded correctly but a change is desired.
+</pre></div>
+</div>
+<p>In the example below, the <code class="docutils literal notranslate"><span class="pre">data_format</span></code> for reading the data is changed and the data is then reloaded.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>filepath = "../dataprofiler/tests/data/csv/diamonds.csv"
+
+data = dp.Data(filepath)
+print('original data:')
+print('=' * 80)
+print(data.data[:5])
+
+print()
+data.reload(options={'data_format': 'records', 'record_samples_per_line': 1})
+print('reloaded data:')
+print('=' * 80)
+data.data[:5]
+</pre></div>
+</div>
+</div>
+</section>
+<section id="A-deeper-dive-into-CSVData">
+<h2>A deeper dive into <code class="docutils literal notranslate"><span class="pre">CSVData</span></code><a class="headerlink" href="#A-deeper-dive-into-CSVData" title="Permalink to this headline">¶</a></h2>
+<p>This next section will focus on how to use the data reader class: <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>. The <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> class is used for reading delimited data. Delimited data are datasets which have their columns specified by a specific character, commonly the <code class="docutils literal notranslate"><span class="pre">,</span></code>. E.g. from the <code class="docutils literal notranslate"><span class="pre">diamonds.csv</span></code> dataset:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>carat,cut,color,clarity,depth,table,price,x,y,z
+0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43
+0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31
+0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31
+0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63
+0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75
+</pre></div>
+</div>
+<p>However, the delimiter can be any character. Additionally, a <code class="docutils literal notranslate"><span class="pre">quotechar</span></code>, commonly <code class="docutils literal notranslate"><span class="pre">"</span></code>, can be specified which allows a delimiter to be contained within a column value. E.g. from the <code class="docutils literal notranslate"><span class="pre">blogposts.csv</span></code> dataset:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>Blog Post,Date,Subject,Field
+"Monty Hall, meet Game Theory",4/13/2014,Statistics,Mathematics
+Gaussian Quadrature,4/13/2014,Algorithms,Mathematics
+</pre></div>
+</div>
+<p>Notice how <code class="docutils literal notranslate"><span class="pre">"Monty</span> <span class="pre">Hall,</span> <span class="pre">meet</span> <span class="pre">Game</span> <span class="pre">Theory"</span></code> is contained by the quotechar because it contains the delimiter value <code class="docutils literal notranslate"><span class="pre">,</span></code>.</p>
+<p>These delimiter dataset parameters (and more) can be automatically determined by the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader, however they can also be set via the options as demonstrated later in this tutorial.</p>
+</section>
+<section id="Intro-to-the-CSVData-data-reader">
+<h2>Intro to the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader<a class="headerlink" href="#Intro-to-the-CSVData-data-reader" title="Permalink to this headline">¶</a></h2>
+<p>Previously, it was shown that <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> may automatically be detected using <code class="docutils literal notranslate"><span class="pre">Data</span></code> or can be manually specified by the user:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="n">filepath</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># use data reader to read delimited data
+data_folder = "../dataprofiler/tests/data"
+csv_files = [
+    "csv/diamonds.csv",
+    "csv/all-strings-skip-header-author.csv", # csv files with the author/description on the first line
+    "csv/sparse-first-and-last-column-empty-first-row.txt", # csv file with the .txt extension
+]
+
+for file in csv_files:
+    data = CSVData(os.path.join(data_folder, file))
+    print(data.data.head())
+    print('=' * 80)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="CSVData-Options">
+<h2>CSVData Options<a class="headerlink" href="#CSVData-Options" title="Permalink to this headline">¶</a></h2>
+<p>As mentioned preivously, <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> has options that can be set to finetune its detection or to ensure the data is being read in a specific manner. The options for <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> are detailed below:</p>
+<ul class="simple">
+<li><p>delimiter - delimiter used to decipher the csv input file</p></li>
+<li><p>quotechar - quote character used in the delimited file</p></li>
+<li><p>header - location of the header in the file.</p></li>
+<li><p>data_format - user selected format in which to return data can only be of specified types</p></li>
+<li><p>selected_columns - columns being selected from the entire dataset</p></li>
+</ul>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># options are set via a dictionary object in which the parameters are specified.
+# these are the default values for each option
+options = {
+    "delimiter": ",",
+    "quotechar": '"',
+    "header": 'auto',
+    "data_format": "dataframe",  # type: str, choices: "dataframe", "records"
+    "selected_columns": list(),
+}
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-delimiter-and-quotechar">
+<h2>Options: delimiter and quotechar<a class="headerlink" href="#Options:-delimiter-and-quotechar" title="Permalink to this headline">¶</a></h2>
+<p>Below, both the auto detection and use of options will be illustrated for <code class="docutils literal notranslate"><span class="pre">delimiter</span></code> and <code class="docutils literal notranslate"><span class="pre">quotechar</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># display the data we are reading
+filepath = "../dataprofiler/tests/data/csv/daily-activity-sheet-@-singlequote.csv"
+num_lines = 10
+with open(filepath) as fp:
+    print(''.join(fp.readlines()[:num_lines]))
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(filepath)  # or use CSVData
+print('Auto detected')
+print('=' * 80)
+print('delimiter: ', data.delimiter)
+print('quotechar: ', data.quotechar)
+data.data.head()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>options = {'delimiter': '@', 'quotechar': "'"}
+data = dp.Data(filepath, options=options)  # or use CSVData
+print('manually set')
+print('=' * 80)
+print('delimiter: ', data.delimiter)
+print('quotechar: ', data.quotechar)
+data.data.head()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># intentional failure with incorrect options
+options = {'delimiter': ',', 'quotechar': '"'}
+
+# will be interepted as TextData because the delimtier and quotechar were incorrect
+data = dp.Data(filepath, options=options)
+print('intentional faliure set')
+print('=' * 80)
+try:
+    print('delimiter: ', data.delimiter)  # attribute error raised here, bc TextData, not CSVData
+    print('quotechar: ', data.quotechar)
+
+    # should not reach this or something went wrong
+    raise Exception('Should have failed because this is detected as TextData.')
+except AttributeError:
+    print('When data_type is not set or the CSVData is not set, it will fail over to the\n'
+          'next best reader. In this case it is "TextData"\n')
+data.data
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-header">
+<h2>Options: header<a class="headerlink" href="#Options:-header" title="Permalink to this headline">¶</a></h2>
+<p>Below, both the auto detection and use of options will be illustrated for <code class="docutils literal notranslate"><span class="pre">header</span></code>.</p>
+<p>Notice how in the manually set mechanism, we are intentionally setting the header incorrectly to illustrate what happens.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># display the data we are reading
+filepath = "../dataprofiler/tests/data/csv/sparse-first-and-last-column-header-and-author-description.txt"
+num_lines = 10
+with open(filepath) as fp:
+    print(''.join(fp.readlines()[:num_lines]))
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>options = {'header': 'auto'}  # auto detected (default value)
+data = dp.Data(filepath, options=options)  # or use CSVData
+print('Data Header:', data.header)
+print('=' * 80)
+data.data.head()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>options = {'header': 2}  # intentionally set incorrectly at value 2
+data = dp.Data(filepath, options=options)  # or use CSVData
+print('Data Header:', data.header)
+print('=' * 80)
+data.data.head()
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-data_format">
+<h2>Options: data_format<a class="headerlink" href="#Options:-data_format" title="Permalink to this headline">¶</a></h2>
+<p>For CSVData, the <code class="docutils literal notranslate"><span class="pre">data_format</span></code> option can have the following values:</p>
+<ul class="simple">
+<li><p>dataframe - (default) loads the dataset as a pandas.DataFrame</p></li>
+<li><p>records - loads the data as rows of text values, the extra parameter <code class="docutils literal notranslate"><span class="pre">record_samples_per_line</span></code> how many rows are combined into a single line</p></li>
+</ul>
+<p><code class="docutils literal notranslate"><span class="pre">dataframe</span></code> is used for conducting <strong>structured profiling</strong> of the dataset while <code class="docutils literal notranslate"><span class="pre">records</span></code> is for <strong>unstructured profiling</strong>.</p>
+<p>Below, both the auto detection and use of options will be illustrated for <code class="docutils literal notranslate"><span class="pre">data_format</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># display the data we are reading
+filepath = "../dataprofiler/tests/data/csv/diamonds.csv"
+num_lines = 10
+with open(filepath) as fp:
+    print(''.join(fp.readlines()[:num_lines]))
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>options = {'data_format': 'dataframe'}  # default
+data = dp.Data(filepath, options=options)  # or use CSVData
+data.data[:5]
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>options = {'data_format': 'records', 'record_samples_per_line': 1}
+data = dp.Data(filepath, options=options)
+data.data[:5]
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Options:-selected-columns">
+<h2>Options: selected columns<a class="headerlink" href="#Options:-selected-columns" title="Permalink to this headline">¶</a></h2>
+<p>By default, all columns of a dataset will be read and loaded into the data reader. However, <code class="docutils literal notranslate"><span class="pre">selected_columns</span></code> can be set to only load columns which the user requests.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># display the data we are reading
+filepath = "../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"
+num_lines = 10
+with open(filepath) as fp:
+    print(''.join(fp.readlines()[:num_lines]))
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>options = {'selected_columns': ['datetime', 'host', 'src', 'proto']}
+data = dp.Data(filepath, options=options)
+data.data.head()
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Intro-to-GraphData-data-reader">
+<h2>Intro to <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> data reader<a class="headerlink" href="#Intro-to-GraphData-data-reader" title="Permalink to this headline">¶</a></h2>
+<p>This tutorial will focus on how to use the data reader class: <code class="docutils literal notranslate"><span class="pre">GraphData</span></code>. The <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> class is used for reading the delimited data from a CSV file into a <code class="docutils literal notranslate"><span class="pre">NetworkX</span></code> Graph object. This is all in an effort to prepare the data automaticaly for <code class="docutils literal notranslate"><span class="pre">GraphProfiler</span></code> class to then profile graph data.</p>
+<p>The DataProiler keys off of common graph naming conventions in the column header row. E.G. from <code class="docutils literal notranslate"><span class="pre">dataprofiler/tests/csv/graph_data_csv_identify.csv</span></code></p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>node_id_dst, node_id_src, continuous_weight, categorical_status
+108,289,7.4448069,9
+81,180,3.65064207,0
+458,83,5.9959787,10
+55,116,4.63359209,79
+454,177,5.76715529,11
+429,225,4.79556889,3
+</pre></div>
+</div>
+<p>Options for the <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> are exactly the same as <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>.</p>
+<p>Example implementation of <code class="docutils literal notranslate"><span class="pre">GraphData</span></code>:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.graph_data</span> <span class="kn">import</span> <span class="n">GraphData</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="n">graph_file</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">GraphData</span><span class="p">(</span><span class="n">graph_file</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>from dataprofiler.data_readers.graph_data import GraphData
+
+# use data reader to read delimited data
+data_folder = "../dataprofiler/tests/data"
+graph_file = "csv/graph_data_csv_identify.csv"
+
+data = GraphData(os.path.join(data_folder, graph_file))
+print(data.data.edges)
+print('=' * 80)
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="profiler_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Structured Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="overview.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Profiler - What’s in your data?</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/data_reader.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Intro to Data Readers</a><ul>
+<li><a class="reference internal" href="#Automatically-reading-and-detecting-data">Automatically reading and detecting data</a></li>
+<li><a class="reference internal" href="#Specifying-detection-options-of-Data-and-loading-pandas.DataFrame">Specifying detection options of <code class="docutils literal notranslate"><span class="pre">Data</span></code> and loading <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></li>
+<li><a class="reference internal" href="#Accessing-data-and-attributes">Accessing data and attributes</a></li>
+<li><a class="reference internal" href="#Checking-data-file-types-with-is_match">Checking data file types with <code class="docutils literal notranslate"><span class="pre">is_match</span></code></a></li>
+<li><a class="reference internal" href="#Reloading-data-after-altering-options-with-reload">Reloading data after altering options with <code class="docutils literal notranslate"><span class="pre">reload</span></code></a></li>
+<li><a class="reference internal" href="#A-deeper-dive-into-CSVData">A deeper dive into <code class="docutils literal notranslate"><span class="pre">CSVData</span></code></a></li>
+<li><a class="reference internal" href="#Intro-to-the-CSVData-data-reader">Intro to the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader</a></li>
+<li><a class="reference internal" href="#CSVData-Options">CSVData Options</a></li>
+<li><a class="reference internal" href="#Options:-delimiter-and-quotechar">Options: delimiter and quotechar</a></li>
+<li><a class="reference internal" href="#Options:-header">Options: header</a></li>
+<li><a class="reference internal" href="#Options:-data_format">Options: data_format</a></li>
+<li><a class="reference internal" href="#Options:-selected-columns">Options: selected columns</a></li>
+<li><a class="reference internal" href="#Intro-to-GraphData-data-reader">Intro to <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> data reader</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/data_reader.ipynb b/docs/0.10.3/html/data_reader.ipynb
new file mode 100644
index 000000000..d2ce887e6
--- /dev/null
+++ b/docs/0.10.3/html/data_reader.ipynb
@@ -0,0 +1,689 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d4d79832-59ab-410a-ad6d-fbba01a3f0d3",
+   "metadata": {},
+   "source": [
+    "# Intro to Data Readers\n",
+    "Within the Data Profiler, there are 5 data reader classes:\n",
+    "\n",
+    "  * CSVData (delimited data: CSV, TSV, etc.)\n",
+    "  * JSONData\n",
+    "  * ParquetData\n",
+    "  * AVROData\n",
+    "  * GraphData\n",
+    "  * TextData\n",
+    "  \n",
+    "Each of these classes can be used to read data individually, however the Data Profiler provides the unique capability of auto detecting what data you have and reading it automatically by using the `Data` class.\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "data = dp.Data('/path/to/mydata.abc')  # auto detects and reads your data\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2315666-20be-4937-9f9a-26d42dc135e2",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Automatically reading and detecting data\n",
+    "\n",
+    "Below is a demonstration of utilizing the `Data` class which automatically detects the type of data for a given file and reads it automatically."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "99e61c6c-43b8-4700-b627-759b5ef8bdda",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8821ad8d-b2c0-489c-ae6a-54c11b7f0a08",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "graph_files = [\n",
+    "    \"csv/graph_data_csv_identify.csv\", # csv file with graph column names\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "all_files = csv_files + json_files + parquet_files + avro_files + graph_files + text_files\n",
+    "print('filepath' + ' ' * 58 + 'data type')\n",
+    "print('='*80)\n",
+    "for file in all_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    data = dp.Data(filepath)\n",
+    "    print(\"{:<65} {:<15}\".format(file, data.data_type))\n",
+    "print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49dfc981-59fd-48a5-ad7b-e01f0a52d0b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# importing from a url\n",
+    "data = dp.Data('https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/diamonds.csv')\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77f8ef2d-5aaf-44d6-b6d1-bf14f7eb7aa6",
+   "metadata": {},
+   "source": [
+    "## Specifying detection options of `Data` and loading `pandas.DataFrame`\n",
+    "\n",
+    "The `Data` class also gives the ability to set options or if the user wants to load their data with specific requirements.\n",
+    "Options for each data reader are specified in the docs: https://capitalone.github.io/DataProfiler/docs/0.4.4/html/dataprofiler.data_readers.html\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "options = {...}  # allowed options are specified for each data reader.\n",
+    "data = dp.Data(data, options=options)\n",
+    "```\n",
+    "Later in this tutorial, the options for the CSVData class will be discussed.\n",
+    "\n",
+    "Additionally, a user can directly load a `pandas.DataFrame` as any data reader they choose."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b925d4e-ca94-4913-9acf-26a883585e85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "df = pd.DataFrame(['my', 'random', 'data'])\n",
+    "\n",
+    "# specify via the `Data` class\n",
+    "data = dp.Data(data=df, data_type='csv')\n",
+    "print('Data Type: ', data.data_type)\n",
+    "\n",
+    "# specifically use the CSVData class\n",
+    "data = CSVData(data=df)\n",
+    "print('Data Type: ', data.data_type)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52c3c3ac-c241-4d91-8ac7-b3d28ffd19c3",
+   "metadata": {},
+   "source": [
+    "## Accessing data and attributes\n",
+    "\n",
+    "Once loaded, the data can be accessed via the `data` property of the object. Additional information about the data loaded may differ between data readers.\n",
+    "\n",
+    "For this example we will focus on `CSVData`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09fa5929-e710-4107-9313-1370ab639c9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "data = dp.Data(filepath)\n",
+    "print('Data Type: ', data.data_type)\n",
+    "print('Data Filepath: ', data.input_file_path)\n",
+    "print('File Encoding: ', data.file_encoding)\n",
+    "print('Data Length (two techniques): ', len(data), data.length)\n",
+    "print(\"Data Access:\")\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b98be971-4768-479d-9e54-00f05a6fb790",
+   "metadata": {},
+   "source": [
+    "## Checking data file types with `is_match`\n",
+    "\n",
+    "Each data reader has a class method `is_match` which determines whether or not a dataset is of a given data type.\n",
+    "```python\n",
+    "CSVData.is_match\n",
+    "JSONData.is_match\n",
+    "ParquetData.is_match\n",
+    "AVROData.is_match\n",
+    "GraphData.is_match\n",
+    "TextData.is_match\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "104a32c1-1d50-4aa5-94ce-b2e72de38476",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# supplemental function\n",
+    "def add_true_false_color(value):\n",
+    "    \"\"\"Converts True to green and False to red in printed text.\"\"\"\n",
+    "    if value:\n",
+    "        return \"\\x1b[92m  \" + str(is_match) + \"\\x1b[0m\"\n",
+    "    return \"\\x1b[31m \" + str(is_match) + \"\\x1b[0m\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "06868d90-2726-4096-a6da-3866174e6671",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "\n",
+    "non_csv_files = [\n",
+    "    'json/iris-utf-8.json',\n",
+    "    'json/honeypot_intentially_mislabeled_file.csv',\n",
+    "    'parquet/titanic.parq',\n",
+    "    'parquet/nation.plain.intentionally_mislabled_file.csv',\n",
+    "    'txt/code.txt',\n",
+    "    'txt/sentence.txt',\n",
+    "    'avro/users.avro',\n",
+    "    'avro/snappy_compressed_intentionally_mislabeled_file.csv',\n",
+    "]\n",
+    "\n",
+    "print(\"Is the file a CSV?\")\n",
+    "print('=' * 80)\n",
+    "for file in csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)\n",
+    "    \n",
+    "for file in non_csv_files:\n",
+    "    filepath = os.path.join(data_folder, file)\n",
+    "    is_match = CSVData.is_match(filepath)\n",
+    "    print(add_true_false_color(is_match), ':', file)\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38889990-8e19-4114-a4f3-dc2af938e29d",
+   "metadata": {},
+   "source": [
+    "## Reloading data after altering options with `reload`\n",
+    "\n",
+    "There are two cases for using the reload function, both of which require the data type to have been interpreted correctly:\n",
+    "\n",
+    "    1. The options were not correctly determined\n",
+    "    2. The options were loaded correctly but a change is desired.\n",
+    "    \n",
+    "In the example below, the `data_format` for reading the data is changed and the data is then reloaded."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "01870e8d-45ee-4f33-a088-4453c7ffc7c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "print('original data:')\n",
+    "print('=' * 80)\n",
+    "print(data.data[:5])\n",
+    "\n",
+    "print()\n",
+    "data.reload(options={'data_format': 'records', 'record_samples_per_line': 1})\n",
+    "print('reloaded data:')\n",
+    "print('=' * 80)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2285f19-9b34-4484-beaa-79df890b2825",
+   "metadata": {},
+   "source": [
+    "## A deeper dive into `CSVData`\n",
+    "\n",
+    "This next section will focus on how to use the data reader class: `CSVData`. The `CSVData` class is used for reading delimited data. Delimited data are datasets which have their columns specified by a specific character, commonly the `,`. E.g. from the `diamonds.csv` dataset:\n",
+    "```\n",
+    "carat,cut,color,clarity,depth,table,price,x,y,z\n",
+    "0.23,Ideal,E,SI2,61.5,55,326,3.95,3.98,2.43\n",
+    "0.21,Premium,E,SI1,59.8,61,326,3.89,3.84,2.31\n",
+    "0.23,Good,E,VS1,56.9,65,327,4.05,4.07,2.31\n",
+    "0.29,Premium,I,VS2,62.4,58,334,4.2,4.23,2.63\n",
+    "0.31,Good,J,SI2,63.3,58,335,4.34,4.35,2.75\n",
+    "```\n",
+    "\n",
+    "However, the delimiter can be any character. Additionally, a `quotechar`, commonly `\"`, can be specified which allows a delimiter to be contained within a column value.\n",
+    "E.g. from the `blogposts.csv` dataset:\n",
+    "```\n",
+    "Blog Post,Date,Subject,Field\n",
+    "\"Monty Hall, meet Game Theory\",4/13/2014,Statistics,Mathematics\n",
+    "Gaussian Quadrature,4/13/2014,Algorithms,Mathematics\n",
+    "```\n",
+    "Notice how `\"Monty Hall, meet Game Theory\"` is contained by the quotechar because it contains the delimiter value `,`.\n",
+    "\n",
+    "These delimiter dataset parameters (and more) can be automatically determined by the `CSVData` data reader, however they can also be set via the options as demonstrated later in this tutorial."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccb6bf9-7fb8-46b8-992e-9caacb7ab3a8",
+   "metadata": {},
+   "source": [
+    "## Intro to the `CSVData` data reader\n",
+    "\n",
+    "Previously, it was shown that `CSVData` may automatically be detected using `Data` or can be manually specified by the user:\n",
+    "\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "\n",
+    "data = dp.Data(filepath)\n",
+    "data = CSVData(filepath)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e25f5130-4f19-40c5-9d13-549a04f1aef5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "csv_files = [\n",
+    "    \"csv/diamonds.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "\n",
+    "for file in csv_files:\n",
+    "    data = CSVData(os.path.join(data_folder, file))\n",
+    "    print(data.data.head())\n",
+    "    print('=' * 80)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8940de56-1417-4bf6-af87-9d4d00b9a631",
+   "metadata": {},
+   "source": [
+    "## CSVData Options\n",
+    "\n",
+    "As mentioned preivously, `CSVData` has options that can be set to finetune its detection or to ensure the data is being read in a specific manner.\n",
+    "The options for `CSVData` are detailed below:\n",
+    "\n",
+    "  * delimiter - delimiter used to decipher the csv input file\n",
+    "  * quotechar - quote character used in the delimited file\n",
+    "  * header - location of the header in the file.\n",
+    "  * data_format - user selected format in which to return data can only be of specified types\n",
+    "  * selected_columns - columns being selected from the entire dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d74f2e8-0ec3-4e93-8778-0a5f013e0cdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# options are set via a dictionary object in which the parameters are specified.\n",
+    "# these are the default values for each option\n",
+    "options = {\n",
+    "    \"delimiter\": \",\",\n",
+    "    \"quotechar\": '\"',\n",
+    "    \"header\": 'auto',\n",
+    "    \"data_format\": \"dataframe\",  # type: str, choices: \"dataframe\", \"records\"\n",
+    "    \"selected_columns\": list(),\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9af108a1-ffe6-4c3a-82cc-833b1a3b57a1",
+   "metadata": {},
+   "source": [
+    "## Options: delimiter and quotechar\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `delimiter` and `quotechar`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "570e20c3-198e-4356-98d3-92eb9655ef4e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/daily-activity-sheet-@-singlequote.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98385148-861e-4eb1-ba8d-e93120515401",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(filepath)  # or use CSVData\n",
+    "print('Auto detected')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f5d9306-d90a-4fc6-85a7-a0d535fe2d80",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'delimiter': '@', 'quotechar': \"'\"}\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('manually set')\n",
+    "print('=' * 80)\n",
+    "print('delimiter: ', data.delimiter)\n",
+    "print('quotechar: ', data.quotechar)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7bfa60f-b5b9-48a5-adc5-3937aed145da",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# intentional failure with incorrect options\n",
+    "options = {'delimiter': ',', 'quotechar': '\"'}\n",
+    "\n",
+    "# will be interepted as TextData because the delimtier and quotechar were incorrect\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "print('intentional faliure set')\n",
+    "print('=' * 80)\n",
+    "try:\n",
+    "    print('delimiter: ', data.delimiter)  # attribute error raised here, bc TextData, not CSVData\n",
+    "    print('quotechar: ', data.quotechar)\n",
+    "    \n",
+    "    # should not reach this or something went wrong\n",
+    "    raise Exception('Should have failed because this is detected as TextData.')\n",
+    "except AttributeError:\n",
+    "    print('When data_type is not set or the CSVData is not set, it will fail over to the\\n'\n",
+    "          'next best reader. In this case it is \"TextData\"\\n')\n",
+    "data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eeb41c7c-8319-40a3-9d87-88edbb3c5290",
+   "metadata": {},
+   "source": [
+    "## Options: header\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `header`.\n",
+    "\n",
+    "Notice how in the manually set mechanism, we are intentionally setting the header incorrectly to illustrate what happens."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a927ef-1ba8-4bf2-ae40-2a9909030609",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/sparse-first-and-last-column-header-and-author-description.txt\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0701d7bf-2de0-4dce-8f09-7f0cddd1132c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 'auto'}  # auto detected (default value)\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8642a0a-367a-44c6-b611-b89d97b29f85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'header': 2}  # intentionally set incorrectly at value 2\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "print('Data Header:', data.header)\n",
+    "print('=' * 80)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6e3f640-c809-4eb6-9571-30065821615e",
+   "metadata": {},
+   "source": [
+    "## Options: data_format\n",
+    "\n",
+    "For CSVData, the `data_format` option can have the following values:\n",
+    "\n",
+    "  * dataframe - (default) loads the dataset as a pandas.DataFrame\n",
+    "  * records   - loads the data as rows of text values, the extra parameter `record_samples_per_line` how many rows are combined into a single line\n",
+    "  \n",
+    "`dataframe` is used for conducting **structured profiling** of the dataset while `records` is for **unstructured profiling**.\n",
+    "\n",
+    "Below, both the auto detection and use of options will be illustrated for `data_format`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "146109ea-a554-4766-bb19-78c116d2a8dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/diamonds.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dceac967-d326-4064-ba1c-87a1146c9d72",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'dataframe'}  # default\n",
+    "data = dp.Data(filepath, options=options)  # or use CSVData\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c25524f-ef23-4e06-9023-842c64c2640e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'data_format': 'records', 'record_samples_per_line': 1}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data[:5]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d45f3ed6-ddcd-4bf3-95bc-09f23eb94c97",
+   "metadata": {},
+   "source": [
+    "## Options: selected columns\n",
+    "\n",
+    "By default, all columns of a dataset will be read and loaded into the data reader. However, `selected_columns` can be set to only load columns which the user requests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9b45e18-93c6-42e6-b978-af51574307eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# display the data we are reading\n",
+    "filepath = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "num_lines = 10\n",
+    "with open(filepath) as fp:\n",
+    "    print(''.join(fp.readlines()[:num_lines]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "018f3f4d-32ac-411a-9918-bae78aff0b0e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "options = {'selected_columns': ['datetime', 'host', 'src', 'proto']}\n",
+    "data = dp.Data(filepath, options=options)\n",
+    "data.data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b50679ea",
+   "metadata": {},
+   "source": [
+    "## Intro to `GraphData` data reader\n",
+    "\n",
+    "This tutorial will focus on how to use the data reader class: `GraphData`. The `GraphData` class is used for reading the delimited data from a CSV file into a `NetworkX` Graph object. This is all in an effort to prepare the data automaticaly for `GraphProfiler` class to then profile graph data. \n",
+    "\n",
+    "The DataProiler keys off of common graph naming conventions in the column header row. E.G. from `dataprofiler/tests/csv/graph_data_csv_identify.csv`\n",
+    "```\n",
+    "node_id_dst, node_id_src, continuous_weight, categorical_status\n",
+    "108,289,7.4448069,9\n",
+    "81,180,3.65064207,0\n",
+    "458,83,5.9959787,10\n",
+    "55,116,4.63359209,79\n",
+    "454,177,5.76715529,11\n",
+    "429,225,4.79556889,3\n",
+    "```\n",
+    "\n",
+    "Options for the `GraphData` are exactly the same as `CSVData`.\n",
+    "\n",
+    "\n",
+    "Example implementation of `GraphData`:\n",
+    "```python\n",
+    "import dataprofiler as dp\n",
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "data = dp.Data(graph_file)\n",
+    "data = GraphData(graph_file)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "838db976",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.data_readers.graph_data import GraphData\n",
+    "\n",
+    "# use data reader to read delimited data \n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "graph_file = \"csv/graph_data_csv_identify.csv\"\n",
+    "\n",
+    "data = GraphData(os.path.join(data_folder, graph_file))\n",
+    "print(data.data.edges)\n",
+    "print('=' * 80)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/data_readers.html b/docs/0.10.3/html/data_readers.html
new file mode 100644
index 000000000..ecfe251a7
--- /dev/null
+++ b/docs/0.10.3/html/data_readers.html
@@ -0,0 +1,452 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profiler" href="profiler.html" /><link rel="prev" title="Install" href="install.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Readers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="data-readers">
+<span id="id1"></span><h1>Data Readers<a class="headerlink" href="#data-readers" title="Permalink to this headline">¶</a></h1>
+<p>The <cite>Data</cite> class itself will identify then output one of the following <cite>Data</cite> class types.
+Using the data reader is easy, just pass it through the Data object.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The supported file types are:</p>
+<ul class="simple">
+<li><p>CSV file (or any delimited file)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro file</p></li>
+<li><p>Parquet file</p></li>
+<li><p>Graph data file</p></li>
+<li><p>Text file</p></li>
+<li><p>Pandas DataFrame</p></li>
+<li><p>A URL that points to one of the supported file types above</p></li>
+</ul>
+<p>It’s also possible to specifically call one of the data classes such as the following command:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">})</span>
+</pre></div>
+</div>
+<p>Additionally any of the data classes can be loaded using a URL:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s2">"https://you_website.com/your_file.file"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"verify_ssl"</span><span class="p">:</span> <span class="s2">"True"</span><span class="p">})</span>
+</pre></div>
+</div>
+<p>Below are descriptions of the various <cite>Data</cite> classes and the available options.</p>
+<section id="csvdata">
+<h2>CSVData<a class="headerlink" href="#csvdata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type CSV. Can be specified by passing
+in memory data or via a file path. Options pertaining the CSV may also
+be specified using the options dict parameter.</p>
+<p><cite>CSVData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>delimiter - Must be a string, for example <cite>“delimiter”: “,”</cite></p></li>
+<li><p>data_format - Must be a string, possible choices: “dataframe”, “records”</p></li>
+<li><p>selected_columns - Columns being selected from the entire dataset, must be a
+list <cite>[“column 1”, “ssn”]</cite></p></li>
+<li><p>sample_nrows - Reservoir sampling to sample <cite>“n”</cite> rows out of a total of <cite>“M”</cite> rows.
+Specified for how many rows to sample, default None.</p></li>
+<li><p>header - Define the header, for example</p>
+<ul>
+<li><p><cite>“header”: ‘auto’</cite> for auto detection</p></li>
+<li><p><cite>“header”: None</cite> for no header</p></li>
+<li><p><cite>“header”: &lt;INT&gt;</cite> to specify the header row (0 based index)</p></li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="jsondata">
+<h2>JSONData<a class="headerlink" href="#jsondata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type JSON. Can be specified by
+passing in memory data or via a file path. Options pertaining the JSON
+may also be specified using the options dict parameter. JSON data can be
+accessed via the “data” property, the “metadata” property, and the
+“data_and_metadata” property.</p>
+<p><cite>JSONData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format - must be a string, choices: “dataframe”, “records”, “json”, “flattened_dataframe”</p>
+<ul>
+<li><p>“flattened_dataframe” is best used for JSON structure typically found in data streams that contain
+nested lists of dictionaries and a payload. For example: <cite>{“data”: [ columns ], “response”: 200}</cite></p></li>
+</ul>
+</li>
+<li><p>selected_keys - columns being selected from the entire dataset, must be a list <cite>[“column 1”, “ssn”]</cite></p></li>
+<li><p>payload_keys - The dictionary keys for the payload of the JSON, typically called “data”
+or “payload”. Defaults to [“data”, “payload”, “response”].</p></li>
+</ul>
+</section>
+<section id="avrodata">
+<h2>AVROData<a class="headerlink" href="#avrodata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type AVRO. Can be specified by
+passing in memory data or via a file path. Options pertaining the AVRO
+may also be specified using the options dict parameter.</p>
+<p><cite>AVROData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format - must be a string, choices: “dataframe”, “records”, “avro”, “json”, “flattened_dataframe”</p>
+<ul>
+<li><p>“flattened_dataframe” is best used for AVROs with a JSON structure typically found in data streams that contain
+nested lists of dictionaries and a payload. For example: <cite>{“data”: [ columns ], “response”: 200}</cite></p></li>
+</ul>
+</li>
+<li><p>selected_keys - columns being selected from the entire dataset, must be a list <cite>[“column 1”, “ssn”]</cite></p></li>
+</ul>
+</section>
+<section id="parquetdata">
+<h2>ParquetData<a class="headerlink" href="#parquetdata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type PARQUET. Can be specified by
+passing in memory data or via a file path. Options pertaining the
+PARQUET may also be specified using the options dict parameter.</p>
+<p><cite>ParquetData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format - must be a string, choices: “dataframe”, “records”, “json”</p></li>
+<li><p>selected_keys - columns being selected from the entire dataset, must be a list <cite>[“column 1”, “ssn”]</cite></p></li>
+</ul>
+</section>
+<section id="graphdata">
+<h2>GraphData<a class="headerlink" href="#graphdata" title="Permalink to this headline">¶</a></h2>
+<p>Data Class for loading datasets of graph data. Currently takes CSV format,
+further type formats will be supported. Can be specified by passing
+in memory data (NetworkX Graph) or via a file path. Options pertaining the CSV file may also
+be specified using the options dict parameter. Loads data from CSV into memory
+as a NetworkX Graph.</p>
+<p><cite>GraphData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>delimiter - must be a string, for example <cite>“delimiter”: “,”</cite></p></li>
+<li><p>data_format - must be a string, possible choices: “graph”, “dataframe”, “records”</p></li>
+<li><p>header - Define the header, for example</p>
+<ul>
+<li><p><cite>“header”: ‘auto’</cite> for auto detection</p></li>
+<li><p><cite>“header”: None</cite> for no header</p></li>
+<li><p><cite>“header”: &lt;INT&gt;</cite> to specify the header row (0 based index)</p></li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="textdata">
+<h2>TextData<a class="headerlink" href="#textdata" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of type TEXT. Can be specified by
+passing in memory data or via a file path. Options pertaining the TEXT
+may also be specified using the options dict parameter.</p>
+<p><cite>TextData(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>data_format: user selected format in which to return data. Currently only supports “text”.</p></li>
+<li><p>samples_per_line - chunks by which to read in the specified dataset</p></li>
+</ul>
+</section>
+<section id="data-using-a-url">
+<h2>Data Using a URL<a class="headerlink" href="#data-using-a-url" title="Permalink to this headline">¶</a></h2>
+<p>Data class for loading datasets of any type using a URL. Specified by passing in
+any valid URL that points to one of the valid data types. Options pertaining the
+URL may also be specified using the options dict parameter.</p>
+<p><cite>Data(input_file_path=None, data=None, options=None)</cite></p>
+<p>Possible <cite>options</cite>:</p>
+<ul class="simple">
+<li><p>verify_ssl: must be a boolean string, choices: “True”, “False”. Set to “True” by default.</p></li>
+</ul>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="profiler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profiler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="install.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Install</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/data_readers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Readers</a><ul>
+<li><a class="reference internal" href="#csvdata">CSVData</a></li>
+<li><a class="reference internal" href="#jsondata">JSONData</a></li>
+<li><a class="reference internal" href="#avrodata">AVROData</a></li>
+<li><a class="reference internal" href="#parquetdata">ParquetData</a></li>
+<li><a class="reference internal" href="#graphdata">GraphData</a></li>
+<li><a class="reference internal" href="#textdata">TextData</a></li>
+<li><a class="reference internal" href="#data-using-a-url">Data Using a URL</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.avro_data.html b/docs/0.10.3/html/dataprofiler.data_readers.avro_data.html
new file mode 100644
index 000000000..ecfa60a16
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.avro_data.html
@@ -0,0 +1,409 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Data" href="dataprofiler.data_readers.base_data.html" /><link rel="prev" title="Data Readers" href="dataprofiler.data_readers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Avro Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.avro_data">
+<span id="avro-data"></span><h1>Avro Data<a class="headerlink" href="#module-dataprofiler.data_readers.avro_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for saving and loading spreadsheet data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.avro_data.</span></span><span class="sig-name descname"><span class="pre">AVROData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData" title="dataprofiler.data_readers.json_data.JSONData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.json_data.JSONData</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>AVROData class to save and load spreadsheet data.</p>
+<p>Initialize Data class for loading datasets of type AVRO.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining to AVRO may also be specified using options dict param.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span><span class="p">,</span> <span class="s2">"avro"</span>
+    <span class="n">selected_keys</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format can only be of specified types
+selected_keys: keys being selected from the entire dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'avro'</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set file encoding to None since not detected for avro.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test the given file to check if the file has valid AVRO format or not.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – avro read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a avro file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data_and_metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_and_metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data_and_metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that joins the data and the metadata.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that contains the metadata.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it
+with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.avro_data.AVROData.selected_keys">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_keys</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[List[str]]</span></em><a class="headerlink" href="#dataprofiler.data_readers.avro_data.AVROData.selected_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected keys.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.base_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Readers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.avro_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.base_data.html b/docs/0.10.3/html/dataprofiler.data_readers.base_data.html
new file mode 100644
index 000000000..fad8cb431
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.base_data.html
@@ -0,0 +1,371 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="CSV Data" href="dataprofiler.data_readers.csv_data.html" /><link rel="prev" title="Avro Data" href="dataprofiler.data_readers.avro_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.base_data">
+<span id="base-data"></span><h1>Base Data<a class="headerlink" href="#module-dataprofiler.data_readers.base_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains abstract class for data loading and saving.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.base_data.</span></span><span class="sig-name descname"><span class="pre">BaseData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Abstract class for data loading and saving.</p>
+<p>Initialize Base class for loading a dataset.</p>
+<p>Options can be specified and maybe
+more specific to the subclasses.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return true if match, false otherwise.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing
+data/options and replaces it with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.base_data.BaseData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.base_data.BaseData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.csv_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">CSV Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.avro_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Avro Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.base_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.csv_data.html b/docs/0.10.3/html/dataprofiler.data_readers.csv_data.html
new file mode 100644
index 000000000..6fbcad106
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.csv_data.html
@@ -0,0 +1,438 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data" href="dataprofiler.data_readers.data.html" /><link rel="prev" title="Base Data" href="dataprofiler.data_readers.base_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>CSV Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.csv_data">
+<span id="csv-data"></span><h1>CSV Data<a class="headerlink" href="#module-dataprofiler.data_readers.csv_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class that saves and loads spreadsheet data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.csv_data.</span></span><span class="sig-name descname"><span class="pre">CSVData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>SpreadsheetData class to save and load spreadsheet data.</p>
+<p>Initialize Data class for loading datasets of type CSV.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining to CSV may also be specified using options dict param.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">delimiter</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span>
+    <span class="n">record_samples_per_line</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span> <span class="p">(</span><span class="n">only</span> <span class="k">for</span> <span class="s2">"records"</span><span class="p">)</span>
+    <span class="n">selected_columns</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">header</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">any</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>delimiter: delimiter used to decipher the csv input file
+data_format: user selected format in which to return data
+can only be of specified types:
+<a href="#id1"><span class="problematic" id="id2">``</span></a>`
+dataframe - (default) loads the dataset as a pandas.DataFrame
+records   - loads the data as rows of text values, the extra parameter</p>
+<blockquote>
+<div><p>“record_samples_per_line” determines how many rows are combined into
+a single line</p>
+</div></blockquote>
+<p><a href="#id3"><span class="problematic" id="id4">``</span></a>`
+selected_columns: columns being selected from the entire dataset
+header: location of the header in the file
+quotechar: quote character used in the delimited file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'csv'</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.selected_columns">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_columns</span></span><em class="property"><span class="pre">:</span> <span class="pre">List[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.selected_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected columns.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.delimiter">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">delimiter</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.delimiter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return delimiter.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.quotechar">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">quotechar</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.quotechar" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return quotechar.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.header">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">header</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[Union[str,</span> <span class="pre">int]]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.header" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return header.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.sample_nrows">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">sample_nrows</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[int]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.sample_nrows" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return sample_nrows.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if first 1000 lines of given file has valid delimited format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – delimiter read options dict(delimiter=”,”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a csv file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.csv_data.CSVData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.csv_data.CSVData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it with
+the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.base_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.csv_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.data.html b/docs/0.10.3/html/dataprofiler.data_readers.data.html
new file mode 100644
index 000000000..81688bb2a
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.data.html
@@ -0,0 +1,310 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Utils" href="dataprofiler.data_readers.data_utils.html" /><link rel="prev" title="CSV Data" href="dataprofiler.data_readers.csv_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.data">
+<span id="data"></span><h1>Data<a class="headerlink" href="#module-dataprofiler.data_readers.data" title="Permalink to this headline">¶</a></h1>
+<p>Contains factory class reading various kinds of data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data.Data">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data.</span></span><span class="sig-name descname"><span class="pre">Data</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.data.Data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Factory class for reading various kinds of data.</p>
+<p>Create Factory Data object.</p>
+<p>Auto-detection of data type if not specified for input files.
+Returns the proper data class or specified data class for
+the given data or input file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> – </p></li>
+<li><p><strong>data</strong> – </p></li>
+<li><p><strong>data_type</strong> – </p></li>
+<li><p><strong>options</strong> – </p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data.Data.data_classes">
+<span class="sig-name descname"><span class="pre">data_classes</span></span><em class="property"><span class="pre">:</span> <span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">[{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.json_data.JSONData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.graph_data.GraphData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.csv_data.CSVData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.parquet_data.ParquetData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.avro_data.AVROData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}},</span> <span class="pre">{'data_class':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.data_readers.text_data.TextData'&gt;,</span> <span class="pre">'kwargs':</span> <span class="pre">{}}]</span></em><a class="headerlink" href="#dataprofiler.data_readers.data.Data.data_classes" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.data_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.csv_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">CSV Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.data_utils.html b/docs/0.10.3/html/dataprofiler.data_readers.data_utils.html
new file mode 100644
index 000000000..5d674f48c
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.data_utils.html
@@ -0,0 +1,656 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Filepath Or Buffer" href="dataprofiler.data_readers.filepath_or_buffer.html" /><link rel="prev" title="Data" href="dataprofiler.data_readers.data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.data_utils">
+<span id="data-utils"></span><h1>Data Utils<a class="headerlink" href="#module-dataprofiler.data_readers.data_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for data readers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.data_generator">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">data_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.data_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Take a list and return a generator on the list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_list</strong> (<em>list</em>) – list of strings</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>item from the list</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>generator</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.generator_on_file">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">generator_on_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_object</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bytes</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.generator_on_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Take a file and return a generator that returns lines.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>file_path</strong> (<em>path</em>) – path to the file</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Line from file</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>generator</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.convert_int_to_string">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">convert_int_to_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.convert_int_to_string" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert the given input to string.</p>
+<p>In particular, it is int, it converts it ensuring there is no . or 00.
+In addition, if the input is np.nan, the output will be ‘nan’ which is
+what we need to handle data properly.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>float</em><em>, </em><em>str</em><em>, </em><em>numpy.nan</em><em>]</em>) – </p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.unicode_to_str">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">unicode_to_str</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_dicts</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.unicode_to_str" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert data to string representation if it is a unicode string.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>JSONType</em>) – input data</p></li>
+<li><p><strong>ignore_dicts</strong> (<em>boolean</em>) – if set, ignore the dictionary type processing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>string representation of data</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.json_to_dataframe">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">json_to_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">json_lines</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.json_to_dataframe" title="Permalink to this definition">¶</a></dt>
+<dd><p>Take list of json objects and return dataframe representing json list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>json_lines</strong> (<em>list</em><em>(</em><em>JSONType</em><em>)</em>) – list of json objects</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of keys to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dataframe converted from json list and list of dtypes for each
+column</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>tuple(pd.DataFrame, pd.Series(dtypes))</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_json_df">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_json_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_generator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Generator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_json_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return an iterator that returns a chunk of data as dataframe in each call.</p>
+<p>The source of input to this function is either a
+file or a list of JSON structured strings. If the file path is given as
+input, the file is expected to have one JSON structures in each line. The
+lines that are not valid json will be ignored. Therefore, a file with
+pretty printed JSON objects will not be considered valid JSON. If the
+input is a data list, it is expected to be a list of strings where each
+string is a valid JSON object. if the individual object is not valid
+JSON, it will be ignored.</p>
+<p>NOTE: both data_list and file_path cannot be passed at the same time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_generator</strong> (<em>generator</em>) – The generator you want to read.</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of keys to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>returns an iterator that returns a chunk of file as dataframe in
+each call as well as original dtypes of the dataframe columns.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>tuple(pd.DataFrame, pd.Series(dtypes))</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_json">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_json</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_generator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Iterator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">,</span> </span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_json" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the lines of a json.</p>
+<p>The source of input to this function is either a file or
+a list of JSON structured strings.
+If the file path is given as input, the file is expected to have one JSON
+structures in each line. The lines that are not valid json will be ignored.
+Therefore, a file with pretty printed JSON objects will not be considered
+valid JSON. If the input is a data list, it is expected to be a list of
+strings where each string is a valid JSON object. if the individual object
+is not valid JSON, it will be ignored.</p>
+<p>NOTE: both data_list and file_path cannot be passed at the same time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_generator</strong> (<em>generator</em>) – The generator you want to read.</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of keys to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>returns the lines of a json file</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(dict)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.reservoir">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">reservoir</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">_io.TextIOWrapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_nrows</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.reservoir" title="Permalink to this definition">¶</a></dt>
+<dd><p>Implement the mathematical logic of Reservoir sampling.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file</strong> (<em>TextIOWrapper</em>) – wrapper of the opened csv file</p></li>
+<li><p><strong>sample_nrows</strong> (<em>int</em>) – number of rows to sample</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>ValueError()</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>sampled values</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.rsample">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">rsample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">_io.TextIOWrapper</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_nrows</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">_io.StringIO</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.rsample" title="Permalink to this definition">¶</a></dt>
+<dd><p>Implement Reservoir Sampling to sample n rows out of a total of M rows.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>TextIOWrapper</em>) – path of the csv file to be read in</p></li>
+<li><p><strong>sample_nrows</strong> (<em>int</em>) – number of rows being sampled</p></li>
+<li><p><strong>args</strong> (<em>dict</em>) – options to read the csv file</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_csv_df">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_csv_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.TextIOWrapper</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delimiter</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_nrows</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">[]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'utf-8'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">pandas.core.frame.DataFrame</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_csv_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Read a CSV file in chunks and return dataframe in form of iterator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the CSV file.</p></li>
+<li><p><strong>delimiter</strong> (<em>str</em>) – character used to separate csv values.</p></li>
+<li><p><strong>header</strong> (<em>int</em>) – the header row in the csv file.</p></li>
+<li><p><strong>selected_columns</strong> (<em>list</em><em>(</em><em>str</em><em>)</em>) – a list of columns to be processed</p></li>
+<li><p><strong>read_in_string</strong> (<em>bool</em>) – if True, all the values in dataframe will be
+converted to string</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Iterator</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>pd.DataFrame</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_parquet_df">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_parquet_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">selected_columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">read_in_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_parquet_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return an iterator that returns one row group each time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>file_path</strong> (<em>str</em>) – path to the Parquet file.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Iterator(pd.DataFrame)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.read_text_as_list_of_strs">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">read_text_as_list_of_strs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.read_text_as_list_of_strs" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return list of strings relative to the chunk size.</p>
+<p>Each line is 1 chunk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>file_path</strong> (<em>str</em>) – path to the file</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.detect_file_encoding">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">detect_file_encoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1024</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lines</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.detect_file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine encoding of files within initial <cite>max_lines</cite> of length <cite>buffer_size</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file</p></li>
+<li><p><strong>buffer_size</strong> (<em>int</em>) – buffer length for each line being read</p></li>
+<li><p><strong>max_lines</strong> (<em>int</em>) – number of lines to read from file of length buffer_size</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>encoding type</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.detect_cell_type">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">detect_cell_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cell</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.detect_cell_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Detect the cell type (int, float, etc).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>cell</strong> (<em>str</em>) – String designated for data type detection</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.get_delimiter_regex">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">get_delimiter_regex</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">delimiter</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">','</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quotechar</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">','</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Pattern</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.get_delimiter_regex" title="Permalink to this definition">¶</a></dt>
+<dd><p>Build regex for delimiter checks.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>delimiter</strong> (<em>str</em>) – Delimiter to be added to regex</p></li>
+<li><p><strong>quotechar</strong> – Quotechar to be added to regex</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.find_nth_loc">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">find_nth_loc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_query</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_consecutive</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.find_nth_loc" title="Permalink to this definition">¶</a></dt>
+<dd><p>Search string via search_query and return nth index in which query occurs.</p>
+<p>If there are less than ‘n’ the last loc is returned</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>string</strong> (<em>str</em>) – Input string, to be searched</p></li>
+<li><p><strong>search_query</strong> (<em>str</em>) – char(s) to find nth occurrence of</p></li>
+<li><p><strong>n</strong> (<em>int</em>) – The number of occurrences to iterate through</p></li>
+<li><p><strong>ignore_consecutive</strong> (<em>bool</em>) – Ignore consecutive matches in the search query.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return idx</dt>
+<dd class="field-even"><p>Index of the nth or last occurrence of the search_query</p>
+</dd>
+<dt class="field-odd">Rtype idx</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+<dt class="field-even">Return id_count</dt>
+<dd class="field-even"><p>Number of identifications prior to idx</p>
+</dd>
+<dt class="field-odd">Rtype id_count</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.load_as_str_from_file">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">load_as_str_from_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">file_encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lines</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_bytes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">65536</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size_bytes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1024</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.load_as_str_from_file" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data from a csv file up to a specific line OR byte_size.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – Path to file to load data from</p></li>
+<li><p><strong>file_encoding</strong> (<em>str</em>) – File encoding</p></li>
+<li><p><strong>max_lines</strong> (<em>int</em>) – Maximum number of lines to load from file</p></li>
+<li><p><strong>max_bytes</strong> (<em>int</em>) – Maximum number of bytes to load from file</p></li>
+<li><p><strong>chunk_size_bytes</strong> (<em>int</em>) – Chunk size to load every data load</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Data as string</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.is_valid_url">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">is_valid_url</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url_as_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">typing_extensions.TypeGuard</span><span class="p"><span class="pre">[</span></span><span class="pre">Url</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.is_valid_url" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine whether a given string is a valid URL.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>url_as_string</strong> (<em>str</em>) – string to be tested if URL</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>true if string is a valid URL</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.data_utils.url_to_bytes">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.data_utils.</span></span><span class="sig-name descname"><span class="pre">url_to_bytes</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">url_as_string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Url</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">_io.BytesIO</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.data_utils.url_to_bytes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Read in URL and converts it to a byte stream.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>url_as_string</strong> (<em>str</em>) – string to read as URL</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for the url</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>BytesIO stream of data downloaded from URL</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>BytesIO stream</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.filepath_or_buffer.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Filepath Or Buffer</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.data_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.filepath_or_buffer.html b/docs/0.10.3/html/dataprofiler.data_readers.filepath_or_buffer.html
new file mode 100644
index 000000000..2195b7942
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.filepath_or_buffer.html
@@ -0,0 +1,321 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graph Data" href="dataprofiler.data_readers.graph_data.html" /><link rel="prev" title="Data Utils" href="dataprofiler.data_readers.data_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Filepath Or Buffer - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.filepath_or_buffer">
+<span id="filepath-or-buffer"></span><h1>Filepath Or Buffer<a class="headerlink" href="#module-dataprofiler.data_readers.filepath_or_buffer" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions and classes for handling filepaths and buffers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.filepath_or_buffer.is_stream_buffer">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.filepath_or_buffer.</span></span><span class="sig-name descname"><span class="pre">is_stream_buffer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath_or_buffer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">typing_extensions.TypeGuard</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.filepath_or_buffer.is_stream_buffer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine whether a given argument is a filepath or buffer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filepath_or_buffer</strong> (<em>str</em>) – path to the file or buffer</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>true if string is a buffer or false if string is a filepath</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.filepath_or_buffer.FileOrBufferHandler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.filepath_or_buffer.</span></span><span class="sig-name descname"><span class="pre">FileOrBufferHandler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath_or_buffer</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">open_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'r'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seek_offset</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seek_whence</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.filepath_or_buffer.FileOrBufferHandler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>FileOrBufferHandler class to read a filepath or buffer in.</p>
+<p>Always returns a readable buffer.</p>
+<p>Initialize Context manager class.</p>
+<p>Used for inputting a file or buffer and returning
+a structure that is always a buffer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath_or_buffer</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>StringIO</em><em>, </em><em>BytesIO</em><em>]</em>) – path to the file being loaded or buffer</p></li>
+<li><p><strong>open_method</strong> (<em>string</em>) – value describes the mode the file is opened in</p></li>
+<li><p><strong>seek_offset</strong> (<em>int</em>) – offset from start of the stream</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>TextIOBase or BufferedIOBase class/subclass</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.graph_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graph Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.data_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.filepath_or_buffer.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.graph_data.html b/docs/0.10.3/html/dataprofiler.data_readers.graph_data.html
new file mode 100644
index 000000000..0b18ab7b0
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.graph_data.html
@@ -0,0 +1,415 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="JSON Data" href="dataprofiler.data_readers.json_data.html" /><link rel="prev" title="Filepath Or Buffer" href="dataprofiler.data_readers.filepath_or_buffer.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graph Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.graph_data">
+<span id="graph-data"></span><h1>Graph Data<a class="headerlink" href="#module-dataprofiler.data_readers.graph_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for identifying, reading, and loading graph data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.graph_data.</span></span><span class="sig-name descname"><span class="pre">GraphData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">networkx.classes.graph.Graph</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>GraphData class to identify, read, and load graph data.</p>
+<p>Initialize Data class for identifying, reading, and loading graph data.</p>
+<p>Current implementation only accepts file path as input.
+An options parameter is also passed in to specify properties of the
+input file.</p>
+<p>Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">delimiter</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span>
+    <span class="n">column_names</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">source_node</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">destination_node</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span>
+    <span class="n">target_keywords</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">source_keywords</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">header</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">any</span>
+    <span class="n">quotechar</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>delimiter: delimiter used to decipher the csv input file
+column_names: list of column names of the csv
+source_node: index of the source node column, range of (0,n-1)
+target_node: index of the target node column, range of (0,n-1)
+target_keywords: list of keywords to identify target/destination node col
+source_keywords: list of keywords to identify source node col
+graph_keywords: list of keywords to identify if data has graph data
+header: location o the header in the file
+quotechar: quote character used in the delimited file</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'graph'</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.csv_column_names">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">csv_column_names</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">header</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delimiter</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'utf-8'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.csv_column_names" title="Permalink to this definition">¶</a></dt>
+<dd><p>Fetch a list of column names from the csv file.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine whether the file is a graph.</p>
+<dl class="simple">
+<dt>Current formats checked:</dt><dd><ul class="simple">
+<li><p>attributed edge list</p></li>
+</ul>
+</dd>
+</dl>
+<p>This works by finding whether the file contains a target and a source node</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.check_integer">
+<span class="sig-name descname"><span class="pre">check_integer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.check_integer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether string is integer and output integer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing
+data/options and replaces it with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.graph_data.GraphData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.graph_data.GraphData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.json_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">JSON Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.filepath_or_buffer.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Filepath Or Buffer</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.graph_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.html b/docs/0.10.3/html/dataprofiler.data_readers.html
new file mode 100644
index 000000000..bed464656
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.html
@@ -0,0 +1,324 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Avro Data" href="dataprofiler.data_readers.avro_data.html" /><link rel="prev" title="API" href="API.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Readers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="data-readers">
+<h1>Data Readers<a class="headerlink" href="#data-readers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.data_readers"></span><p>This package is designed to wrap data for the data profiler.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.avro_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Avro Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="API.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">API</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Readers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.json_data.html b/docs/0.10.3/html/dataprofiler.data_readers.json_data.html
new file mode 100644
index 000000000..a56ba4d80
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.json_data.html
@@ -0,0 +1,420 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Parquet Data" href="dataprofiler.data_readers.parquet_data.html" /><link rel="prev" title="Graph Data" href="dataprofiler.data_readers.graph_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>JSON Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.json_data">
+<span id="json-data"></span><h1>JSON Data<a class="headerlink" href="#module-dataprofiler.data_readers.json_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class to save and load json data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.json_data.</span></span><span class="sig-name descname"><span class="pre">JSONData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>SpreadsheetData class to save and load spreadsheet data.</p>
+<p>Initialize Data class for loading datasets of type JSON.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining the JSON may also be specified using the
+options dict parameter.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span><span class="p">,</span> <span class="s2">"json"</span><span class="p">,</span>
+     <span class="s2">"flattened_dataframe"</span>
+    <span class="n">selected_keys</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">payload_keys</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)]</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format in which to return data
+can only be of specified types
+selected_keys: keys being selected from the entire dataset
+payload_keys: list of dictionary keys that determine the payload</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'json'</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.selected_keys">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_keys</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[List[str]]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.selected_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected keys.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that contains the metadata.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data_and_metadata">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_and_metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[pandas.core.frame.DataFrame]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data_and_metadata" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a data frame that joins the data and the metadata.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test whether first 1000 lines of file has valid JSON format or not.</p>
+<p>At least 60 percent of the lines in the first 1000
+lines have to be valid json.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – json read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a json file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it
+with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.json_data.JSONData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.json_data.JSONData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.parquet_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Parquet Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.graph_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graph Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.json_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.parquet_data.html b/docs/0.10.3/html/dataprofiler.data_readers.parquet_data.html
new file mode 100644
index 000000000..26ab67a91
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.parquet_data.html
@@ -0,0 +1,405 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Structured Mixins" href="dataprofiler.data_readers.structured_mixins.html" /><link rel="prev" title="JSON Data" href="dataprofiler.data_readers.json_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Parquet Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.parquet_data">
+<span id="parquet-data"></span><h1>Parquet Data<a class="headerlink" href="#module-dataprofiler.data_readers.parquet_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class to save and load parquet data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.parquet_data.</span></span><span class="sig-name descname"><span class="pre">ParquetData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin</span></code></a>, <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>SpreadsheetData class to save and load parquet data.</p>
+<p>Initialize Data class for loading datasets of type PARQUET.</p>
+<p>Can be specified by passing in memory data or via a file path.
+Options pertaining to PARQUET may also be specified using options dict param.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"dataframe"</span><span class="p">,</span> <span class="s2">"records"</span><span class="p">,</span> <span class="s2">"json"</span>
+    <span class="n">selected_columns</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">list</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
+    <span class="n">header</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">any</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format in which to return data
+can only be of specified types
+selected_columns: columns being selected from the entire dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'parquet'</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set file encoding to None since not detected for avro.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.selected_columns">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_columns</span></span><em class="property"><span class="pre">:</span> <span class="pre">List[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.selected_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return selected columns.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.StringIO</span><span class="p"><span class="pre">,</span> </span><span class="pre">_io.BytesIO</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Test the given file to check if the file has valid Parquet format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – parquet read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a parquet file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing data/options and replaces it
+with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.parquet_data.ParquetData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.parquet_data.ParquetData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.structured_mixins.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Structured Mixins</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.json_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">JSON Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.parquet_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.structured_mixins.html b/docs/0.10.3/html/dataprofiler.data_readers.structured_mixins.html
new file mode 100644
index 000000000..402ce1369
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.structured_mixins.html
@@ -0,0 +1,304 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Text Data" href="dataprofiler.data_readers.text_data.html" /><link rel="prev" title="Parquet Data" href="dataprofiler.data_readers.parquet_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Structured Mixins - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.structured_mixins">
+<span id="structured-mixins"></span><h1>Structured Mixins<a class="headerlink" href="#module-dataprofiler.data_readers.structured_mixins" title="Permalink to this headline">¶</a></h1>
+<p>Contains mixin data class for loading datasets of tye SpreadSheet.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.structured_mixins.</span></span><span class="sig-name descname"><span class="pre">SpreadSheetDataMixin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Mixin data class for loading datasets of type SpreadSheet.</p>
+<p>Can be specified.
+Adds specialized functions for loading data from a string or file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<p>Initialize spreadsheet mixin object.</p>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.data_readers.text_data.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Text Data</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.parquet_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Parquet Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.structured_mixins.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.data_readers.text_data.html b/docs/0.10.3/html/dataprofiler.data_readers.text_data.html
new file mode 100644
index 000000000..0e38f96a9
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.data_readers.text_data.html
@@ -0,0 +1,410 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profilers" href="dataprofiler.profilers.html" /><link rel="prev" title="Structured Mixins" href="dataprofiler.data_readers.structured_mixins.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Text Data - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.data_readers.text_data">
+<span id="text-data"></span><h1>Text Data<a class="headerlink" href="#module-dataprofiler.data_readers.text_data" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for saving and loading text files.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.data_readers.text_data.</span></span><span class="sig-name descname"><span class="pre">TextData</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.data_readers.base_data.BaseData</span></code></a></p>
+<p>TextData class to save and load text files.</p>
+<p>Initialize Data class for loading datasets of type TEXT.</p>
+<p>Can be specified by
+passing in memory data or via a file path. Options pertaining the TEXT
+may also be specified using the options dict parameter.
+Possible Options:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+    <span class="n">data_format</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">choices</span><span class="p">:</span> <span class="s2">"text"</span>
+    <span class="n">samples_per_line</span><span class="o">=</span> <span class="nb">type</span><span class="p">:</span> <span class="nb">int</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>data_format: user selected format in which to return data
+can only be of specified types
+samples_per_line: chunks by which to read in the specified dataset</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.data_type">
+<span class="sig-name descname"><span class="pre">data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'text'</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.data_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.samples_per_line">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">samples_per_line</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.samples_per_line" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return samples per line.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.is_structured">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_structured</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.is_structured" title="Permalink to this definition">¶</a></dt>
+<dd><p>Determine compatibility with StructuredProfiler.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.tokenize">
+<span class="sig-name descname"><span class="pre">tokenize</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.tokenize" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tokenize data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.is_match">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if all are text files.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>file_path</strong> (<em>str</em>) – path to the file to be examined</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – text file read options</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>is file a text file or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.reload">
+<span class="sig-name descname"><span class="pre">reload</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_file_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.reload" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reload the data class with a new dataset.</p>
+<p>This erases all existing
+data/options and replaces it with the input data/options.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>input_file_path</strong> (<em>str</em>) – path to the file being loaded or None</p></li>
+<li><p><strong>data</strong> (<em>multiple types</em>) – data being loaded into the class instead of an input file</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options pertaining to the data type</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.data">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data</span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.data" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.data_format">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_format</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.data_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data format.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.file_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">file_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional[str]</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.file_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return file encoding.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.get_batch_generator">
+<span class="sig-name descname"><span class="pre">get_batch_generator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">List</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.get_batch_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get batch generator.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.info">
+<span class="sig-name descname"><span class="pre">info</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.info" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.length">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">length</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.length" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the length of the dataset which is loaded.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>length of the dataset</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.data_readers.text_data.TextData.options">
+<span class="sig-name descname"><span class="pre">options</span></span><em class="property"><span class="pre">:</span> <span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.data_readers.text_data.TextData.options" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.structured_mixins.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Structured Mixins</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.data_readers.text_data.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.dp_logging.html b/docs/0.10.3/html/dataprofiler.dp_logging.html
new file mode 100644
index 000000000..bbdbd2aef
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.dp_logging.html
@@ -0,0 +1,298 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Dp Logging - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.dp_logging">
+<span id="dp-logging"></span><h1>Dp Logging<a class="headerlink" href="#module-dataprofiler.dp_logging" title="Permalink to this headline">¶</a></h1>
+<p>Utility funcs allowing alteration of logging level/verbosity within dp lib.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.dp_logging.get_logger">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.dp_logging.</span></span><span class="sig-name descname"><span class="pre">get_logger</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.dp_logging.get_logger" title="Permalink to this definition">¶</a></dt>
+<dd><p>Access DataProfiler-specific logger.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.dp_logging.set_verbosity">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.dp_logging.</span></span><span class="sig-name descname"><span class="pre">set_verbosity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">level</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.dp_logging.set_verbosity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set verbosity level for DataProfiler logger.</p>
+<p>Must set it to one of the following values:
+[logging.NOTSET, logging.DEBUG, logging.INFO,</p>
+<blockquote>
+<div><p>logging.WARNING, logging.ERROR, logging.CRITICAL]</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>level</strong> (<em>int</em>) – Verbosity level from logging module</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.dp_logging.get_child_logger">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.dp_logging.</span></span><span class="sig-name descname"><span class="pre">get_child_logger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.dp_logging.get_child_logger" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return logger for the given filepath.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of file in need of accessing child logger</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Logger instance for given file</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.dp_logging.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.html b/docs/0.10.3/html/dataprofiler.html
new file mode 100644
index 000000000..6d985928c
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.html
@@ -0,0 +1,383 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Dataprofiler - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="dataprofiler">
+<h1>Dataprofiler<a class="headerlink" href="#dataprofiler" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.data_readers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.labelers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.profilers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.reports.html">Reports</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.reports.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.reports.graphs.html">Graphs</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.reports.utils.html">Utils</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.validators.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.dp_logging.html">Dp Logging</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.rng_utils.html">Rng Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.settings.html">Settings</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.version.html">Version</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler"></span><p>Package for dataprofiler.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.set_seed">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.</span></span><span class="sig-name descname"><span class="pre">set_seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.set_seed" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Dataprofiler</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.base_data_labeler.html b/docs/0.10.3/html/dataprofiler.labelers.base_data_labeler.html
new file mode 100644
index 000000000..6a7d454f2
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.base_data_labeler.html
@@ -0,0 +1,909 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Model" href="dataprofiler.labelers.base_model.html" /><link rel="prev" title="Labelers" href="dataprofiler.labelers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Data Labeler - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.base_data_labeler">
+<span id="base-data-labeler"></span><h1>Base Data Labeler<a class="headerlink" href="#module-dataprofiler.labelers.base_data_labeler" title="Permalink to this headline">¶</a></h1>
+<p>Contains abstract classes from which labeler classes will inherit.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_data_labeler.</span></span><span class="sig-name descname"><span class="pre">BaseDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Parent class for data labeler objects.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded BaseDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.BaseDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_data_labeler.</span></span><span class="sig-name descname"><span class="pre">TrainableDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></code></a></p>
+<p>Subclass of BaseDataLabeler that can be trained.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.fit">
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">validation_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Fit the data labeler model for the dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – samples to fit model</p></li>
+<li><p><strong>y</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – labels associated with the samples to fit model</p></li>
+<li><p><strong>validation_split</strong> (<em>float</em>) – split of the data to have as cross-validation
+data</p></li>
+<li><p><strong>labels</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – Encoding or number of labels if refit is needed to new
+labels</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether or not to reset the
+weights</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Size of each batch sent to data labeler model</p></li>
+<li><p><strong>epochs</strong> (<em>int</em>) – number of epochs to iterate over the dataset and send to
+the model</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>model output</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for a trainable data labeler.</p>
+<p>Model must have a train function to be able to be set.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.TrainableDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded TrainableDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">TrainableDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.base_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Labelers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.base_data_labeler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.base_model.html b/docs/0.10.3/html/dataprofiler.labelers.base_model.html
new file mode 100644
index 000000000..29bd2fa7f
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.base_model.html
@@ -0,0 +1,675 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Char Load Tf Model" href="dataprofiler.labelers.char_load_tf_model.html" /><link rel="prev" title="Base Data Labeler" href="dataprofiler.labelers.base_data_labeler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Model - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.base_model">
+<span id="base-model"></span><h1>Base Model<a class="headerlink" href="#module-dataprofiler.labelers.base_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains abstract classes for labeling data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.AutoSubRegistrationMeta">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_model.</span></span><span class="sig-name descname"><span class="pre">AutoSubRegistrationMeta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">clsname</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">type</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.AutoSubRegistrationMeta" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABCMeta</span></code></p>
+<p>For registering subclasses.</p>
+<p>Create auto registration object and return new class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.AutoSubRegistrationMeta.mro">
+<span class="sig-name descname"><span class="pre">mro</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.mro" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a type’s method resolution order.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.AutoSubRegistrationMeta.register">
+<span class="sig-name descname"><span class="pre">register</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">subclass</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.register" title="Permalink to this definition">¶</a></dt>
+<dd><p>Register a virtual subclass of an ABC.</p>
+<p>Returns the subclass, to allow usage as a class decorator.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For labeling data.</p>
+<p>Initialize Base Model.</p>
+<p>Only model and model parameters are stored here.
+:param label_mapping: label mapping of the model or list of labels to be</p>
+<blockquote>
+<div><p>converted into the label mapping</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parameters</strong> (<em>dict</em>) – Contains all the appropriate parameters for the model.
+Must contain num_labels.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[int,</span> <span class="pre">str]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">BaseModel</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.reset_weights">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.predict">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the data with the current model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator of data to process</em>) – model input data to predict on</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> (<em>bool</em>) – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.load_from_disk">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded model</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel">BaseModel</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseModel.save_to_disk">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.base_model.</span></span><span class="sig-name descname"><span class="pre">BaseTrainableModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></code></a></p>
+<p>Contains abstract method for training models.</p>
+<p>Initialize Base Model.</p>
+<p>Only model and model parameters are stored here.
+:param label_mapping: label mapping of the model or list of labels to be</p>
+<blockquote>
+<div><p>converted into the label mapping</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parameters</strong> (<em>dict</em>) – Contains all the appropriate parameters for the model.
+Must contain num_labels.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.fit">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Train the current model with the training data and validation data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – Training data used to train model</p></li>
+<li><p><strong>val_data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – Validation data used to validate the training</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Used to determine number of samples in each batch</p></li>
+<li><p><strong>epochs</strong> (<em>int</em>) – Used to determine how many epochs to run</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – Mapping of the labels</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether or not to reset the
+model’s weights</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>history, f1, f1_report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[dict, float, dict]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">BaseModel</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.load_from_disk">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded model</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel">BaseModel</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.predict">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the data with the current model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator of data to process</em>) – model input data to predict on</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> (<em>bool</em>) – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.reset_weights">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[int,</span> <span class="pre">str]</span></em><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.save_to_disk">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.base_model.BaseTrainableModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.base_model.BaseTrainableModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.char_load_tf_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Char Load Tf Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.base_data_labeler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Data Labeler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.base_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.char_load_tf_model.html b/docs/0.10.3/html/dataprofiler.labelers.char_load_tf_model.html
new file mode 100644
index 000000000..680716c22
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.char_load_tf_model.html
@@ -0,0 +1,491 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Character Level Cnn Model" href="dataprofiler.labelers.character_level_cnn_model.html" /><link rel="prev" title="Base Model" href="dataprofiler.labelers.base_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Char Load Tf Model - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.char_load_tf_model">
+<span id="char-load-tf-model"></span><h1>Char Load Tf Model<a class="headerlink" href="#module-dataprofiler.labelers.char_load_tf_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for training data labeler model.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.char_load_tf_model.</span></span><span class="sig-name descname"><span class="pre">CharLoadTFModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel" title="dataprofiler.labelers.base_model.BaseTrainableModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseTrainableModel</span></code></a></p>
+<p>For training data labeler model.</p>
+<p>Initialize Loadable TF Model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model_path</strong> (<em>str</em>) – path to model to load</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the
+model. Must contain num_labels. Other possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_char_encoding_id, dim_embed, size_fc
+dropout, size_conv, num_fil, optimizer, default_label</p>
+</div></blockquote>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>dict</em>) – label mapping of the model</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel" title="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel"><span class="pre">dataprofiler.labelers.char_load_tf_model.CharLoadTFModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded CharLoadTFModel</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel" title="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel">CharLoadTFModel</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.fit">
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Train the current model with the training data and validation data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Training data used to train model</p></li>
+<li><p><strong>val_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Validation data used to validate the training</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Used to determine number of samples in each batch</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether to reset the weights or
+not</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>history, f1, f1_report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[dict, float, dict]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Run model and get predictions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – text input</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.details">
+<span class="sig-name descname"><span class="pre">details</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.details" title="Permalink to this definition">¶</a></dt>
+<dd><p>Print the relevant details of the model.</p>
+<p>Details include summary, parameters, label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[int,</span> <span class="pre">str]</span></em><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.character_level_cnn_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Character Level Cnn Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.base_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.char_load_tf_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.character_level_cnn_model.html b/docs/0.10.3/html/dataprofiler.labelers.character_level_cnn_model.html
new file mode 100644
index 000000000..aad878b33
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.character_level_cnn_model.html
@@ -0,0 +1,512 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Classification Report Utils" href="dataprofiler.labelers.classification_report_utils.html" /><link rel="prev" title="Char Load Tf Model" href="dataprofiler.labelers.char_load_tf_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Character Level Cnn Model - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.character_level_cnn_model">
+<span id="character-level-cnn-model"></span><h1>Character Level Cnn Model<a class="headerlink" href="#module-dataprofiler.labelers.character_level_cnn_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains classes for char data labeling.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.build_embd_dictionary">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.character_level_cnn_model.</span></span><span class="sig-name descname"><span class="pre">build_embd_dictionary</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.build_embd_dictionary" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a numpy embedding dictionary from embed file with GloVe-like format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filename</strong> (<em>str</em>) – Path to the embed file for loading</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.create_glove_char">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.character_level_cnn_model.</span></span><span class="sig-name descname"><span class="pre">create_glove_char</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_dims</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.create_glove_char" title="Permalink to this definition">¶</a></dt>
+<dd><p>Embed GloVe chars embeddings from source file to n_dims principal components.</p>
+<p>Embed in a new file.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>n_dims</strong> (<em>int</em>) – Final number of principal component dims of the embeddings</p></li>
+<li><p><strong>source_file</strong> (<em>str</em>) – Location of original embeddings to factor down</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.character_level_cnn_model.</span></span><span class="sig-name descname"><span class="pre">CharacterLevelCnnModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel" title="dataprofiler.labelers.base_model.BaseTrainableModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseTrainableModel</span></code></a></p>
+<p>Class for training char data labeler.</p>
+<p>Initialize CNN Model.</p>
+<p>Initialize epoch_id.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the
+model. Must contain num_labels. Other possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_char_encoding_id, dim_embed, size_fc
+dropout, size_conv, num_fil, optimizer, default_label</p>
+</div></blockquote>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">True</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>dict</em>) – label mapping of the model</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel" title="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel"><span class="pre">dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset the weights of the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.fit">
+<span class="sig-name descname"><span class="pre">fit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reset_weights</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.fit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Train the current model with the training data and validation data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>train_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Training data used to train model</p></li>
+<li><p><strong>val_data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – Validation data used to validate the training</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Used to determine number of samples in each batch</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>reset_weights</strong> (<em>bool</em>) – Flag to determine whether to reset the weights or
+not</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>history, f1, f1_report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[dict, float, dict]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Run model and get predictions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – text input</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – number of samples in the batch of data</p></li>
+<li><p><strong>show_confidences</strong> – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.details">
+<span class="sig-name descname"><span class="pre">details</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.details" title="Permalink to this definition">¶</a></dt>
+<dd><p>Print the relevant details of the model.</p>
+<p>Details include summary, parameters, and label mapping.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[int,</span> <span class="pre">str]</span></em><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.classification_report_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Classification Report Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.char_load_tf_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Char Load Tf Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.character_level_cnn_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.classification_report_utils.html b/docs/0.10.3/html/dataprofiler.labelers.classification_report_utils.html
new file mode 100644
index 000000000..745cd0064
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.classification_report_utils.html
@@ -0,0 +1,451 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Column Name Model" href="dataprofiler.labelers.column_name_model.html" /><link rel="prev" title="Character Level Cnn Model" href="dataprofiler.labelers.character_level_cnn_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Classification Report Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.classification_report_utils">
+<span id="classification-report-utils"></span><h1>Classification Report Utils<a class="headerlink" href="#module-dataprofiler.labelers.classification_report_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for classification.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.classification_report_utils.convert_confusion_matrix_to_MCM">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.classification_report_utils.</span></span><span class="sig-name descname"><span class="pre">convert_confusion_matrix_to_MCM</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conf_matrix</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">np.ndarray</span></span></span><a class="headerlink" href="#dataprofiler.labelers.classification_report_utils.convert_confusion_matrix_to_MCM" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert a confusion matrix into the MCM format.</p>
+<p>Format for precision/recall/fscore/
+support computation by sklearn.</p>
+<p>The format is as specified by sklearn below:
+In multilabel confusion matrix <span class="math notranslate nohighlight">\(MCM\)</span>, the count of true negatives
+is <span class="math notranslate nohighlight">\(MCM_{:,0,0}\)</span>, false negatives is <span class="math notranslate nohighlight">\(MCM_{:,1,0}\)</span>,
+true positives is <span class="math notranslate nohighlight">\(MCM_{:,1,1}\)</span> and false positives is
+<span class="math notranslate nohighlight">\(MCM_{:,0,1}\)</span>.
+Note: this utilizes code/ideology from sklearn.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>conf_matrix</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>np.ndarray</em><em>]</em>) – confusion matrix, which is a square matrix describing
+false positives and false negatives, true positives and true negatives
+for classification</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>MCM format for readability by sklearn confusion reports.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>np.ndarray</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.classification_report_utils.</span></span><span class="sig-name descname"><span class="pre">precision_recall_fscore_support</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">MCM</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">average</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">warn_for</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">('precision',</span> <span class="pre">'recall',</span> <span class="pre">'f-score')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support" title="Permalink to this definition">¶</a></dt>
+<dd><p>Perform same functionality as recision_recall_fscore_support function.</p>
+<p>Copy of the precision_recall_fscore_support function from sklearn.metrics
+with the update to receiving the MCM instead of calculating each time it is
+called.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>MCM</strong> (<em>array</em><em>, </em><em>shape</em><em> (</em><em>n_outputs</em><em>, </em><em>2</em><em>, </em><em>2</em><em>)</em>) – Multi-classification confusion matrix as referenced by the sklearn
+metrics module. A 2x2 confusion matrix corresponding to each output in
+the input. In multilabel confusion matrix <span class="math notranslate nohighlight">\(MCM\)</span>, the count of
+true negatives is <span class="math notranslate nohighlight">\(MCM_{:,0,0}\)</span>, false negatives is
+<span class="math notranslate nohighlight">\(MCM_{:,1,0}\)</span>, true positives is <span class="math notranslate nohighlight">\(MCM_{:,1,1}\)</span> and false
+positives is <span class="math notranslate nohighlight">\(MCM_{:,0,1}\)</span>.</p></li>
+<li><p><strong>beta</strong> (<em>float</em><em>, </em><em>1.0 by default</em>) – The strength of recall versus precision in the F-score.</p></li>
+<li><p><strong>labels</strong> (<em>list</em><em>, </em><em>optional</em>) – The set of labels to include when <code class="docutils literal notranslate"><span class="pre">average</span> <span class="pre">!=</span> <span class="pre">'binary'</span></code>, and their
+order if <code class="docutils literal notranslate"><span class="pre">average</span> <span class="pre">is</span> <span class="pre">None</span></code>. Labels present in the data can be
+excluded, for example to calculate a multiclass average ignoring a
+majority negative class, while labels not present in the data will
+result in 0 components in a macro average. For multilabel targets,
+labels are column indices. By default, all labels in <code class="docutils literal notranslate"><span class="pre">y_true</span></code> and
+<code class="docutils literal notranslate"><span class="pre">y_pred</span></code> are used in sorted order.</p></li>
+<li><p><strong>pos_label</strong> (<em>str</em><em> or </em><em>int</em><em>, </em><em>1 by default</em>) – The class to report if <code class="docutils literal notranslate"><span class="pre">average='binary'</span></code> and the data is binary.
+If the data are multiclass or multilabel, this will be ignored;
+setting <code class="docutils literal notranslate"><span class="pre">labels=[pos_label]</span></code> and <code class="docutils literal notranslate"><span class="pre">average</span> <span class="pre">!=</span> <span class="pre">'binary'</span></code> will report
+scores for that label only.</p></li>
+<li><p><strong>average</strong> (<em>string</em><em>, </em><em>[</em><em>None</em><em> (</em><em>default</em><em>)</em><em>, </em><em>'binary'</em><em>, </em><em>'micro'</em><em>, </em><em>'macro'</em><em>, </em><em>'weighted'</em><em>]</em>) – <p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the scores for each class are returned. Otherwise, this
+determines the type of averaging performed on the data:</p>
+<dl class="simple">
+<dt><code class="docutils literal notranslate"><span class="pre">'binary'</span></code>:</dt><dd><p>Only report results for the class specified by <code class="docutils literal notranslate"><span class="pre">pos_label</span></code>.
+This is applicable only if targets (<code class="docutils literal notranslate"><span class="pre">y_{true,pred}</span></code>) are binary.</p>
+</dd>
+<dt><code class="docutils literal notranslate"><span class="pre">'micro'</span></code>:</dt><dd><p>Calculate metrics globally by counting the total true positives,
+false negatives and false positives.</p>
+</dd>
+<dt><code class="docutils literal notranslate"><span class="pre">'macro'</span></code>:</dt><dd><p>Calculate metrics for each label, and find their unweighted
+mean. This does not take label imbalance into account.</p>
+</dd>
+<dt><code class="docutils literal notranslate"><span class="pre">'weighted'</span></code>:</dt><dd><p>Calculate metrics for each label, and find their average weighted
+by support (the number of true instances for each label). This
+alters ‘macro’ to account for label imbalance; it can result in an
+F-score that is not between precision and recall.</p>
+</dd>
+</dl>
+</p></li>
+<li><p><strong>warn_for</strong> (<em>tuple</em><em> or </em><em>set</em><em>, </em><em>for internal use</em>) – This determines which warnings will be made in the case that this
+function is being used to return only one of its metrics.</p></li>
+<li><p><strong>sample_weight</strong> (<em>array-like of shape =</em><em> [</em><em>n_samples</em><em>]</em><em>, </em><em>optional</em>) – Sample weights.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>precision</strong> (<em>float (if average is not None) or array of float, shape =        [n_unique_labels]</em>)</p></li>
+<li><p><strong>recall</strong> (<em>float (if average is not None) or array of float, , shape =        [n_unique_labels]</em>)</p></li>
+<li><p><strong>fbeta_score</strong> (<em>float (if average is not None) or array of float, shape =        [n_unique_labels]</em>)</p></li>
+<li><p><strong>support</strong> (<em>int (if average is not None) or array of int, shape =        [n_unique_labels]</em>) – The number of occurrences of each label in <code class="docutils literal notranslate"><span class="pre">y_true</span></code>.</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+<p class="rubric">References</p>
+<dl class="footnote brackets">
+<dt class="label" id="id1"><span class="brackets">1</span></dt>
+<dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/Precision_and_recall">Wikipedia entry for the Precision and recall</a></p>
+</dd>
+<dt class="label" id="id2"><span class="brackets">2</span></dt>
+<dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/F1_score">Wikipedia entry for the F1-score</a></p>
+</dd>
+<dt class="label" id="id3"><span class="brackets">3</span></dt>
+<dd><p><a class="reference external" href="http://www.godbole.net/shantanu/pubs/multilabelsvm-pakdd04.pdf">Discriminative Methods for Multi-labeled Classification Advances
+in Knowledge Discovery and Data Mining (2004), pp. 22-30 by Shantanu
+Godbole, Sunita Sarawagi</a></p>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>When <code class="docutils literal notranslate"><span class="pre">true</span> <span class="pre">positive</span> <span class="pre">+</span> <span class="pre">false</span> <span class="pre">positive</span> <span class="pre">==</span> <span class="pre">0</span></code>, precision is undefined;
+When <code class="docutils literal notranslate"><span class="pre">true</span> <span class="pre">positive</span> <span class="pre">+</span> <span class="pre">false</span> <span class="pre">negative</span> <span class="pre">==</span> <span class="pre">0</span></code>, recall is undefined.
+In such cases, the metric will be set to 0, as will f-score, and
+<code class="docutils literal notranslate"><span class="pre">UndefinedMetricWarning</span></code> will be raised.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.classification_report_utils.classification_report">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.classification_report_utils.</span></span><span class="sig-name descname"><span class="pre">classification_report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">conf_matrix</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">digits</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.classification_report_utils.classification_report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Build a text report showing the main classification metrics.</p>
+<p>Copy of the classification_report function from sklearn.metrics
+with the update to receiving the conf_matrix instead of calculating each
+time it is called.</p>
+<p>Read more in the <span class="xref std std-ref">User Guide</span>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>conf_matrix</strong> (<em>array</em><em>, </em><em>shape =</em><em> [</em><em>n_labels</em><em>, </em><em>n_labels</em><em>]</em>) – confusion matrix, which is a square matrix describing
+false positives and false negatives, true positives and true negatives
+for classification.</p></li>
+<li><p><strong>labels</strong> (<em>array</em><em>, </em><em>shape =</em><em> [</em><em>n_labels</em><em>]</em>) – Optional list of label indices to include in the report.</p></li>
+<li><p><strong>target_names</strong> (<em>list of strings</em>) – Optional display names matching the labels (same order).</p></li>
+<li><p><strong>sample_weight</strong> (<em>array-like of shape =</em><em> [</em><em>n_samples</em><em>]</em><em>, </em><em>optional</em>) – Sample weights.</p></li>
+<li><p><strong>digits</strong> (<em>int</em>) – Number of digits for formatting output floating point values.
+When <code class="docutils literal notranslate"><span class="pre">output_dict</span></code> is <code class="docutils literal notranslate"><span class="pre">True</span></code>, this will be ignored and the
+returned values will not be rounded.</p></li>
+<li><p><strong>output_dict</strong> (<em>bool</em><em> (</em><em>default = False</em><em>)</em>) – If True, return output as dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p><strong>report</strong> – Text summary of the precision, recall, F1 score for each class.
+Dictionary returned if output_dict is True. Dictionary has the
+following structure:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span><span class="s1">'label 1'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'precision'</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
+             <span class="s1">'recall'</span><span class="p">:</span><span class="mf">1.0</span><span class="p">,</span>
+             <span class="s1">'f1-score'</span><span class="p">:</span><span class="mf">0.67</span><span class="p">,</span>
+             <span class="s1">'support'</span><span class="p">:</span><span class="mi">1</span><span class="p">},</span>
+ <span class="s1">'label 2'</span><span class="p">:</span> <span class="p">{</span> <span class="o">...</span> <span class="p">},</span>
+  <span class="o">...</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<p>The reported averages include macro average (averaging the unweighted
+mean per label), weighted average (averaging the support-weighted mean
+per label), sample average (only for multilabel classification) and
+micro average (averaging the total true positives, false negatives and
+false positives) it is only shown for multi-label or multi-class
+with a subset of classes because it is accuracy otherwise.
+See also:func:<cite>precision_recall_fscore_support</cite> for more details
+on averages.</p>
+<p>Note that in binary classification, recall of the positive class
+is also known as “sensitivity”; recall of the negative class is
+“specificity”.</p>
+</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>string / dict</p>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<p><a class="reference internal" href="#dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support" title="dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support"><code class="xref py py-obj docutils literal notranslate"><span class="pre">precision_recall_fscore_support</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">confusion_matrix</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">multilabel_confusion_matrix</span></code></p>
+</div>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.column_name_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Column Name Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.character_level_cnn_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Character Level Cnn Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.classification_report_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.column_name_model.html b/docs/0.10.3/html/dataprofiler.labelers.column_name_model.html
new file mode 100644
index 000000000..d2893caba
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.column_name_model.html
@@ -0,0 +1,451 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Labelers" href="dataprofiler.labelers.data_labelers.html" /><link rel="prev" title="Classification Report Utils" href="dataprofiler.labelers.classification_report_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Column Name Model - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.column_name_model">
+<span id="column-name-model"></span><h1>Column Name Model<a class="headerlink" href="#module-dataprofiler.labelers.column_name_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for column name data labeling model.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.column_name_model.</span></span><span class="sig-name descname"><span class="pre">ColumnNameModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></code></a></p>
+<p>Class for column name data labeling model.</p>
+<p>Initialize function for ColumnNameModel.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the model.
+Possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_num_chars, dim_embed</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset weights function.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Apply the <cite>process.cdist</cite> for similarity score on input list of strings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator</em>) – list of strings to predict upon</p></li>
+<li><p><strong>batch_size</strong> (<em>N/A</em>) – does not impact this model and should be fixed to not
+be required.</p></li>
+<li><p><strong>show_confidences</strong> – Parameter disabled. Confidence values returned
+by default.</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.column_name_model.ColumnNameModel" title="dataprofiler.labelers.column_name_model.ColumnNameModel"><span class="pre">dataprofiler.labelers.column_name_model.ColumnNameModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[int,</span> <span class="pre">str]</span></em><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.column_name_model.ColumnNameModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.column_name_model.ColumnNameModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.data_labelers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Labelers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.classification_report_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Classification Report Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.column_name_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.data_labelers.html b/docs/0.10.3/html/dataprofiler.labelers.data_labelers.html
new file mode 100644
index 000000000..1ffd0899a
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.data_labelers.html
@@ -0,0 +1,980 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Processing" href="dataprofiler.labelers.data_processing.html" /><link rel="prev" title="Column Name Model" href="dataprofiler.labelers.column_name_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Labelers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.data_labelers">
+<span id="data-labelers"></span><h1>Data Labelers<a class="headerlink" href="#module-dataprofiler.labelers.data_labelers" title="Permalink to this headline">¶</a></h1>
+<p>Module to train and choose between structured and unstructured data labelers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.train_structured_labeler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">train_structured_labeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">None</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epochs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">2</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">TrainableDataLabeler</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.train_structured_labeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use provided data to create and save a structured data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>pd.DataFrame</em><em>]</em>) – data to be trained upon</p></li>
+<li><p><strong>save_dirpath</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>str</em><em>]</em>) – path to save data labeler</p></li>
+<li><p><strong>epochs</strong> (<em>int</em>) – number of epochs to loop training the data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>structured data labeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler" title="dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">TrainableDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">UnstructuredDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></code></a></p>
+<p>BaseDataLabeler subclass specified as unstructured with internal variable.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded BaseDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">StructuredDataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></code></a></p>
+<p>BaseDataLabeler subclass specified as structured with internal variable.</p>
+<p>Initialize DataLabeler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> – path to data labeler</p></li>
+<li><p><strong>load_options</strong> – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.check_pipeline">
+<span class="sig-name descname"><span class="pre">check_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">skip_postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.check_pipeline" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check whether the processors and models connect together without error.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>skip_postprocessor</strong> (<em>bool</em>) – skip checking postprocessor is valid in
+pipeline</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.help">
+<span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label encodings.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating labels to indexes</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>loaded BaseDataLabeler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.model">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">model</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.labelers.base_model.BaseModel</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the model instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.postprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">postprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPostprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data postprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the postprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataArray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">error_on_mismatch</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict labels of input data based with the data labeler model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>pd.DataFrame</em><em>, </em><em>pd.Series</em><em>, </em><em>np.ndarray</em><em>]</em>) – data to be predicted upon</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – batch size of prediction</p></li>
+<li><p><strong>predict_options</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – optional parameters to allow for predict as a
+dict, i.e. dict(show_confidences=True)</p></li>
+<li><p><strong>error_on_mismatch</strong> (<em>bool</em>) – if true, errors instead of warns on parameter
+mismatches in pipeline</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.preprocessor">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">preprocessor</span></span><em class="property"><span class="pre">:</span> <span class="pre">data_processing.BaseDataPreprocessor</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the data preprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>returns the preprocessor instance</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the index to label encoding.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary for associating indexes to labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save the data labeler to the specified location.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – location to save the data labeler.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_labels">
+<span class="sig-name descname"><span class="pre">set_labels</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>labels</strong> (<em>list</em><em> or </em><em>dict</em>) – new labels in either encoding list or dict</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_model">
+<span class="sig-name descname"><span class="pre">set_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_model" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the model for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">params</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Allow user to set parameters of pipeline components.</p>
+<dl>
+<dt>Done in the following format:</dt><dd><dl class="simple">
+<dt>params = dict(</dt><dd><p>preprocessor=dict(…),
+model=dict(…),
+postprocessor=dict(…)</p>
+</dd>
+</dl>
+<p>)</p>
+</dd>
+</dl>
+<p>where the key,values pairs for each pipeline component must match
+parameters that exist in their components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>params</strong> (<em>dict</em>) – <p>dictionary containing a key for a given pipeline
+component and its associated value of parameters as such:</p>
+<blockquote>
+<div><p>dict(preprocessor=dict(…), model=dict(…),
+postprocessor=dict(…))</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_postprocessor">
+<span class="sig-name descname"><span class="pre">set_postprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_postprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data postprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_preprocessor">
+<span class="sig-name descname"><span class="pre">set_preprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_processor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_preprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the data preprocessor for the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data_processor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_labelers.</span></span><span class="sig-name descname"><span class="pre">DataLabeler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labeler_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Wrapper class for choosing between structured and unstructured labeler.</p>
+<p>Create structured and unstructured data labeler objects.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – Path to load data labeler</p></li>
+<li><p><strong>load_options</strong> (<em>Dict</em>) – Optional arguments to include for load.</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.labeler_classes">
+<span class="sig-name descname"><span class="pre">labeler_classes</span></span><em class="property"> <span class="pre">=</span> <span class="pre">{'structured':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.labelers.data_labelers.StructuredDataLabeler'&gt;,</span> <span class="pre">'unstructured':</span> <span class="pre">&lt;class</span> <span class="pre">'dataprofiler.labelers.data_labelers.UnstructuredDataLabeler'&gt;}</span></em><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.labeler_classes" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from the data labeler zoo in the library.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>str</em>) – name of the data labeler.</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a saved location on disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dirpath</strong> (<em>str</em>) – path to data labeler files.</p></li>
+<li><p><strong>load_options</strong> (<em>dict</em>) – optional arguments to include for load i.e. class
+for model or processors</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>DataLabeler class</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_labelers.DataLabeler.load_with_components">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_with_components</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">preprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">postprocessor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">trainable</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><span class="pre">dataprofiler.labelers.base_data_labeler.BaseDataLabeler</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_labelers.DataLabeler.load_with_components" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load the data labeler from a its set of components.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>preprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><em>data_processing.BaseDataPreprocessor</em></a>) – processor to set as the preprocessor</p></li>
+<li><p><strong>model</strong> (<a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><em>base_model.BaseModel</em></a>) – model to use within the data labeler</p></li>
+<li><p><strong>postprocessor</strong> (<a class="reference internal" href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><em>data_processing.BaseDataPostprocessor</em></a>) – processor to set as the postprocessor</p></li>
+<li><p><strong>trainable</strong> (<em>bool</em>) – variable to dictate whether you want a trainable data
+labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.data_processing.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Processing</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.column_name_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Column Name Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.data_labelers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.data_processing.html b/docs/0.10.3/html/dataprofiler.labelers.data_processing.html
new file mode 100644
index 000000000..c3d09b498
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.data_processing.html
@@ -0,0 +1,1412 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Labeler Utils" href="dataprofiler.labelers.labeler_utils.html" /><link rel="prev" title="Data Labelers" href="dataprofiler.labelers.data_labelers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Processing - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.data_processing">
+<span id="data-processing"></span><h1>Data Processing<a class="headerlink" href="#module-dataprofiler.labelers.data_processing" title="Permalink to this headline">¶</a></h1>
+<p>Contains pre-built processors for data labeling/processing.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.AutoSubRegistrationMeta">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">AutoSubRegistrationMeta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">clsname</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bases</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">type</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attrs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">object</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">abc.ABCMeta</span></code></p>
+<p>For registering subclasses.</p>
+<p>Create AutoSubRegistration object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.mro">
+<span class="sig-name descname"><span class="pre">mro</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.mro" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a type’s method resolution order.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.register">
+<span class="sig-name descname"><span class="pre">register</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">subclass</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.register" title="Permalink to this definition">¶</a></dt>
+<dd><p>Register a virtual subclass of an ABC.</p>
+<p>Returns the subclass, to allow usage as a class decorator.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">BaseDataProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Abstract Data processing class.</p>
+<p>Initialize BaseDataProcessor object.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.help">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.process">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Process data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataProcessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataProcessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">BaseDataPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></code></a></p>
+<p>Abstract Data preprocessing class.</p>
+<p>Initialize BaseDataPreprocessor object.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.process">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.help">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">BaseDataPostprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></code></a></p>
+<p>Abstract Data postprocessing class.</p>
+<p>Initialize BaseDataPostprocessor object.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.process">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Postprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.help">
+<em class="property"><span class="pre">abstract</span> <span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.BaseDataPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">DirectPassPreprocessor</span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></code></a></p>
+<p>Subclass of BaseDataPreprocessor for preprocessing data.</p>
+<p>Initialize the DirectPassPreprocessor class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.DirectPassPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.DirectPassPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">CharPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">3400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_separate_at_max_len</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPreprocessor" title="dataprofiler.labelers.data_processing.BaseDataPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPreprocessor</span></code></a></p>
+<p>Subclass of BaseDataPreprocessor for preprocessing char data.</p>
+<p>Initialize the CharPreprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_length</strong> (<em>int</em>) – Maximum char length in a sample.</p></li>
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_split</strong> (<em>float</em>) – approximate output of split between flattened and
+non-flattened characters, value between [0, 1]. When the current
+flattened split becomes more than the <cite>flatten_split</cite> value, any
+leftover sample or subsequent samples will be non-flattened until
+the current flattened split is below the <cite>flatten_split</cite> value</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_separate_at_max_len</strong> (<em>bool</em>) – if true, separates at max_length,
+otherwise at nearest separator</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Flatten batches of data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – List of strings to create embeddings for</p></li>
+<li><p><strong>labels</strong> (<em>numpy.ndarray</em>) – labels for each input character</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>dict</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples in the batch of data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return batch_data</dt>
+<dd class="field-even"><p>A dict containing samples of size batch_size</p>
+</dd>
+<dt class="field-odd">Rtype batch_data</dt>
+<dd class="field-odd"><p>dicts</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">CharEncodedPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoding_map</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_split</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_separate_at_max_len</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.CharPreprocessor" title="dataprofiler.labelers.data_processing.CharPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.CharPreprocessor</span></code></a></p>
+<p>Subclass of CharPreprocessor for preprocessing char encoded data.</p>
+<p>Initialize the CharEncodedPreprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>encoding_map</strong> (<em>dict</em>) – char to int encoding map</p></li>
+<li><p><strong>max_length</strong> (<em>int</em>) – Maximum char length in a sample.</p></li>
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_split</strong> (<em>float</em>) – approximate output of split between flattened and
+non-flattened characters, value between [0, 1]. When the current
+flattened split becomes more than the <cite>flatten_split</cite> value, any
+leftover sample or subsequent samples will be non-flattened until
+the current flattened split is below the <cite>flatten_split</cite> value</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_separate_at_max_len</strong> (<em>bool</em>) – if true, separates at max_length,
+otherwise at nearest separator</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Process structured data for being processed by CharacterLevelCnnModel.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – List of strings to create embeddings for</p></li>
+<li><p><strong>labels</strong> (<em>numpy.ndarray</em>) – labels for each input character</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples in the batch of data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return batch_data</dt>
+<dd class="field-even"><p>A dict containing samples of size batch_size</p>
+</dd>
+<dt class="field-odd">Rtype batch_data</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharEncodedPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">CharPostprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'</span> <span class="pre">'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_word_level_argmax</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_format</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'character_argmax'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separators</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">('</span> <span class="pre">',</span> <span class="pre">',',</span> <span class="pre">';',</span> <span class="pre">"'",</span> <span class="pre">'"',</span> <span class="pre">':',</span> <span class="pre">'\n',</span> <span class="pre">'\t',</span> <span class="pre">'.')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">word_level_min_percent</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.75</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing char data.</p>
+<p>Initialize the CharPostprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>use_word_level_argmax</strong> (<em>bool</em>) – whether to require the argmax value of
+each character in a word to determine the word’s entity</p></li>
+<li><p><strong>output_format</strong> (<em>str</em>) – (character_argmax vs NER) where character_argmax
+is a list of encodings for each character in the input text and NER
+is in the dict format which specifies start,end,label for each
+entity in a sentence</p></li>
+<li><p><strong>separators</strong> (<em>tuple</em><em>(</em><em>str</em><em>)</em>) – list of characters to use for separating words within
+the character predictions</p></li>
+<li><p><strong>word_level_min_percent</strong> (<em>float</em>) – threshold on generating dominant
+word_level labeling</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.convert_to_NER_format">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">convert_to_NER_format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.convert_to_NER_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert word level predictions to specified format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>predictions</strong> (<em>list</em>) – predictions</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – labels and corresponding integers</p></li>
+<li><p><strong>default_label</strong> (<em>str</em>) – default label in label_mapping</p></li>
+<li><p><strong>pad_label</strong> (<em>str</em>) – pad label in label_mapping</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>formatted predictions</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.match_sentence_lengths">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">match_sentence_lengths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.match_sentence_lengths" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert results from model into same ragged data shapes as original data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – dict of model character level predictions and confs</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – string which joins to samples together when
+flattening</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em>) – flag to modify results in place</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict(pred=…) or dict(pred=…, conf=…)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Conduct processing on data given predictions, label_mapping, and default_label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>np.ndarray</em><em>, </em><em>pd.DataFrame</em><em>]</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – dict of model character level predictions and confs</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – labels and corresponding integers</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of predictions and if they exist, confidences</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.CharPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.CharPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">StructCharPreprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">3400</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'\x01\x01\x01\x01\x01'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_separate_at_max_len</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.CharPreprocessor" title="dataprofiler.labelers.data_processing.CharPreprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.CharPreprocessor</span></code></a></p>
+<p>Subclass of CharPreprocessor for preprocessing struct char data.</p>
+<p>Initialize the StructCharPreprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_length</strong> (<em>int</em>) – Maximum char length in a sample.</p></li>
+<li><p><strong>default_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>string</em><em> (</em><em>could be int</em><em>, </em><em>char</em><em>, </em><em>etc.</em><em>)</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_separate_at_max_len</strong> (<em>bool</em>) – if true, separates at max_length,
+otherwise at nearest separator</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for preprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.convert_to_unstructured_format">
+<span class="sig-name descname"><span class="pre">convert_to_unstructured_format</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">npt.NDArray</span><span class="p"><span class="pre">[</span></span><span class="pre">np.str_</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.convert_to_unstructured_format" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert data samples list to StructCharPreprocessor required input data format.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – list of strings</p></li>
+<li><p><strong>labels</strong> (Optional[Union[List[str], npt.NDArray[<a href="#id1"><span class="problematic" id="id2">np.str_</span></a>]]]) – labels for each input character</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><p>data in the following format
+text=”&lt;SAMPLE&gt;&lt;SEPARATOR&gt;&lt;SAMPLE&gt;…”,
+entities=[(start=&lt;INT&gt;, end=&lt;INT&gt;, label=”&lt;LABEL&gt;”),</p>
+<blockquote>
+<div><p>…(num_samples in data)])</p>
+</div></blockquote>
+</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Tuple[str, Optional[List[Tuple[int, int, str]]]]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">32</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">np.ndarray</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Process structured data for being processed by CharacterLevelCnnModel.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>numpy.ndarray</em>) – List of strings to create embeddings for</p></li>
+<li><p><strong>labels</strong> (<em>numpy.ndarray</em>) – labels for each input character</p></li>
+<li><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>dict</em><em>, </em><em>None</em><em>]</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>batch_size</strong> (<em>int</em>) – Number of samples in the batch of data</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return batch_data</dt>
+<dd class="field-even"><p>A dict containing samples of size batch_size</p>
+</dd>
+<dt class="field-odd">Rtype batch_data</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'preprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPreprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPreprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">StructCharPostprocessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'UNKNOWN'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'PAD'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'\x01\x01\x01\x01\x01'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_pred_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">random.Random</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing struct char data.</p>
+<p>Initialize the StructCharPostprocessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>default_label</strong> (<em>str</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>str</em>) – Key for label_mapping that is the pad label</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – separator used to put between flattened
+samples.</p></li>
+<li><p><strong>is_pred_labels</strong> (<em>bool</em>) – (default: true) if true, will convert the model
+indexes to the label strings given the label_mapping</p></li>
+<li><p><strong>random_state</strong> (<em>random.Random</em>) – random state setting to be used for randomly
+selecting a prediction when two labels have equal opportunity for
+a given sample.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.match_sentence_lengths">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">match_sentence_lengths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flatten_separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.match_sentence_lengths" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert results from model into same ragged data shapes as original data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>np.ndarray</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – dict of model character level predictions and confs</p></li>
+<li><p><strong>flatten_separator</strong> (<em>str</em>) – string which joins to samples together when
+flattening</p></li>
+<li><p><strong>inplace</strong> (<em>bool</em>) – flag to modify results in place</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict(pred=…) or dict(pred=…, conf=…)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.convert_to_structured_analysis">
+<span class="sig-name descname"><span class="pre">convert_to_structured_analysis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sentences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.convert_to_structured_analysis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert unstructured results to a structured column analysis.</p>
+<p>This assumes the column was flattened into a single sample, and takes mode of
+all character predictions except for the separator labels. In cases of
+tie, chose anything but background, otherwise randomly choose between
+the remaining labels.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sentences</strong> (<em>numpy.ndarray</em>) – samples which were predicted upon</p></li>
+<li><p><strong>results</strong> (<em>dict</em>) – character predictions for each sample return from model</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>default_label</strong> (<em>str</em>) – Key for label_mapping that is the default label</p></li>
+<li><p><strong>pad_label</strong> (<em>str</em>) – Key for label_mapping that is the pad label</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>prediction value for a single column</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Postprocess CharacterLevelCnnModel results when given structured data.</p>
+<p>Said structured data is processed by StructCharPreprocessor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>numpy.ndarray</em><em>, </em><em>pandas.DataFrame</em><em>]</em>) – original input data to the data labeler</p></li>
+<li><p><strong>results</strong> – dict of model character level predictions and confs</p></li>
+<li><p><strong>results</strong> – dict</p></li>
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of predictions and if they exist, confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructCharPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructCharPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">RegexPostProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">aggregation_func</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'split'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">priority_order</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">random.Random</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing regex data.</p>
+<p>Initialize the RegexPostProcessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>aggregation_func</strong> (<em>str</em>) – aggregation function to apply to regex model
+output (split, random, priority)</p></li>
+<li><p><strong>priority_order</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.ndarray</em><em>]</em>) – if priority is set as the aggregation function,
+the order in which entities are given priority must be set</p></li>
+<li><p><strong>random_state</strong> (<em>random.Random</em>) – random state setting to be used for randomly
+selecting a prediction when two labels have equal opportunity for
+a given sample.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.priority_prediction">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">priority_prediction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entity_priority_order</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.priority_prediction" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use priority of regex to give entity determination.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>results</strong> (<em>dict</em>) – regex from model in format: dict(pred=…, conf=…)</p></li>
+<li><p><strong>entity_priority_order</strong> (<em>np.ndarray</em>) – list of entity priorities (lowest has
+higher priority)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.split_prediction">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">split_prediction</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.split_prediction" title="Permalink to this definition">¶</a></dt>
+<dd><p>Split the prediction across votes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>results</strong> (<em>dict</em>) – regex from model in format: dict(pred=…, conf=…)</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.RegexPostProcessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.RegexPostProcessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">StructRegexPostProcessor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">random.Random</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">tuple</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing struct regex data.</p>
+<p>Initialize the RegexPostProcessor class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>random_state</strong> (<em>random.Random</em>) – random state setting to be used for randomly
+selecting a prediction when two labels have equal opportunity for
+a given sample.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Given kwargs, set the parameters if they exist.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.StructRegexPostProcessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.StructRegexPostProcessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.data_processing.</span></span><span class="sig-name descname"><span class="pre">ColumnNameModelPostprocessor</span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataPostprocessor" title="dataprofiler.labelers.data_processing.BaseDataPostprocessor"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.data_processing.BaseDataPostprocessor</span></code></a></p>
+<p>Subclass of BaseDataPostprocessor for postprocessing regex data.</p>
+<p>Initialize the ColumnNameModelPostProcessor class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Describe alterable parameters.</p>
+<p>Input data formats for preprocessors.
+Output data formats for postprocessors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.process">
+<span class="sig-name descname"><span class="pre">process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">results</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.process" title="Permalink to this definition">¶</a></dt>
+<dd><p>Preprocess data.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">BaseDataProcessor</span></a><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get class of BaseDataProcessor object.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>list</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Processor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from a given path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_library">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_library</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.data_processing.BaseDataProcessor" title="dataprofiler.labelers.data_processing.BaseDataProcessor"><span class="pre">dataprofiler.labelers.data_processing.BaseDataProcessor</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_library" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load data processor from within the library.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.processor_type">
+<span class="sig-name descname"><span class="pre">processor_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'postprocessor'</span></em><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.processor_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save data processor to a path on disk.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.labeler_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Labeler Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.data_labelers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Labelers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.data_processing.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.html b/docs/0.10.3/html/dataprofiler.labelers.html
new file mode 100644
index 000000000..52792838d
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.html
@@ -0,0 +1,360 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Data Labeler" href="dataprofiler.labelers.base_data_labeler.html" /><link rel="prev" title="Unstructured Text Profile" href="dataprofiler.profilers.unstructured_text_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Labelers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="labelers">
+<h1>Labelers<a class="headerlink" href="#labelers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.labelers"></span><p>The following will list the built-in models, processors, and data labelers.</p>
+<dl class="simple">
+<dt>Models:</dt><dd><ol class="arabic simple">
+<li><p>CharacterLevelCnnModel - character classification of text.</p></li>
+<li><p>RegexModel - character classification of text.</p></li>
+</ol>
+</dd>
+<dt>Processors:</dt><dd><dl class="simple">
+<dt>Preprocessors</dt><dd><ol class="arabic simple">
+<li><p>CharPreprocessor</p></li>
+<li><p>StructCharPreprocessor</p></li>
+<li><p>DirectPassPreprocessor</p></li>
+</ol>
+</dd>
+<dt>PostProcessors</dt><dd><ol class="arabic simple">
+<li><p>CharPreprocessor</p></li>
+<li><p>StructCharPostprocessor</p></li>
+<li><p>RegexPostProcessor</p></li>
+</ol>
+</dd>
+</dl>
+</dd>
+<dt>Data Labelers:</dt><dd><dl class="simple">
+<dt>Classes</dt><dd><ol class="arabic simple">
+<li><p>UnstructuredDataLabeler</p></li>
+<li><p>StructuredDataLabeler</p></li>
+</ol>
+</dd>
+<dt>Files to load from disk using <cite>BaseDataLabeler.load_from_library(&lt;NAME&gt;)</cite></dt><dd><ol class="arabic simple">
+<li><p>unstructured_model</p></li>
+<li><p>structured_model</p></li>
+<li><p>regex_model</p></li>
+</ol>
+</dd>
+</dl>
+</dd>
+</dl>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.base_data_labeler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Data Labeler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.unstructured_text_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Unstructured Text Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Labelers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.labeler_utils.html b/docs/0.10.3/html/dataprofiler.labelers.labeler_utils.html
new file mode 100644
index 000000000..c0fe3c9c6
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.labeler_utils.html
@@ -0,0 +1,2641 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Regex Model" href="dataprofiler.labelers.regex_model.html" /><link rel="prev" title="Data Processing" href="dataprofiler.labelers.data_processing.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Labeler Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.labeler_utils">
+<span id="labeler-utils"></span><h1>Labeler Utils<a class="headerlink" href="#module-dataprofiler.labelers.labeler_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for the data labeler.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.f1_report_dict_to_str">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">f1_report_dict_to_str</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f1_report</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.f1_report_dict_to_str" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the report string from the f1_report dict.</p>
+<dl>
+<dt>Example Output:</dt><dd><blockquote>
+<div><blockquote>
+<div><p>precision    recall  f1-score   support</p>
+</div></blockquote>
+<p>class 0       0.00      0.00      0.00         1
+class 1       1.00      0.67      0.80         3</p>
+</div></blockquote>
+<p>micro avg       0.67      0.50      0.57         4
+macro avg       0.50      0.33      0.40         4</p>
+</dd>
+</dl>
+<p>weighted avg       0.75      0.50      0.60         4</p>
+<p>Note: this is generally taken from the <cite>classification_report</cite> function
+inside sklearn.
+:param f1_report: f1 report dictionary from sklearn
+:type f1_report: dict
+:param label_names: names of labels included in the report
+:type label_names: list(str)
+:return: string representing f1_report printout
+:rtype: str</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.evaluate_accuracy">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">evaluate_accuracy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predicted_entities_in_index</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">true_entities_in_index</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">entity_rev_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">omitted_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">('PAD',</span> <span class="pre">'UNKNOWN')</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confusion_matrix_file</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.evaluate_accuracy" title="Permalink to this definition">¶</a></dt>
+<dd><p>Evaluate accuracy from comparing predicted labels with true labels.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>predicted_entities_in_index</strong> (<em>list</em><em>(</em><em>array</em><em>(</em><em>int</em><em>)</em><em>)</em>) – predicted encoded labels for input
+sentences</p></li>
+<li><p><strong>true_entities_in_index</strong> (<em>list</em><em>(</em><em>array</em><em>(</em><em>int</em><em>)</em><em>)</em>) – true encoded labels for input sentences</p></li>
+<li><p><strong>entity_rev_dict</strong> (<em>dict</em><em>(</em><em>[</em><em>index</em><em>, </em><em>entity</em><em>]</em><em>)</em>) – dictionary to convert indices to entities</p></li>
+<li><p><strong>verbose</strong> (<em>boolean</em>) – print additional information for debugging</p></li>
+<li><p><strong>omitted_labels</strong> (<em>list</em><em>(</em><em>) </em><em>of text labels</em>) – labels to omit from the accuracy evaluation</p></li>
+<li><p><strong>confusion_matrix_file</strong> (<em>str</em>) – File name (and dir) for confusion matrix</p></li>
+</ul>
+</dd>
+</dl>
+<p>:return : f1-score
+:rtype: float</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.get_tf_layer_index_from_name">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">get_tf_layer_index_from_name</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.keras.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.get_tf_layer_index_from_name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the index of the layer given the layer name within a tf model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>model</strong> – tf keras model to search</p></li>
+<li><p><strong>layer_name</strong> – name of the layer to find</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>layer index if it exists or None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.hide_tf_logger_warnings">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">hide_tf_logger_warnings</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.hide_tf_logger_warnings" title="Permalink to this definition">¶</a></dt>
+<dd><p>Filter out a set of warnings from the tf logger.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.protected_register_keras_serializable">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">protected_register_keras_serializable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">package</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'Custom'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.protected_register_keras_serializable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Protect against already registered keras serializable layers.</p>
+<p>Ensures that if it was already registered, it will not try to
+register it again.</p>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">FBetaScore</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">keras.src.metrics.base_metric.Metric</span></code></p>
+<p>Computes F-Beta score.</p>
+<p>Adapted and slightly modified from <a class="reference external" href="https://github.com/tensorflow/addons/blob/v0.12.0/tensorflow_addons/metrics/f_scores.py#L211-L283">https://github.com/tensorflow/addons/blob/v0.12.0/tensorflow_addons/metrics/f_scores.py#L211-L283</a></p>
+<p># Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     <a class="reference external" href="http://www.apache.org/licenses/LICENSE-2.0">http://www.apache.org/licenses/LICENSE-2.0</a>
+#     <a class="reference external" href="https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE">https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE</a>
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================</p>
+<p>It is the weighted harmonic mean of precision
+and recall. Output range is <cite>[0, 1]</cite>. Works for
+both multi-class and multi-label classification.
+$$
+F_{beta} = (1 + beta^2) * frac{textrm{precision} *
+textrm{precision}}{(beta^2 cdot textrm{precision}) + textrm{recall}}
+$$
+:param num_classes: Number of unique classes in the dataset.
+:param average: Type of averaging to be performed on data.</p>
+<blockquote>
+<div><p>Acceptable values are <cite>None</cite>, <cite>micro</cite>, <cite>macro</cite> and
+<cite>weighted</cite>. Default value is None.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>beta</strong> – Determines the weight of precision and recall
+in harmonic mean. Determines the weight given to the
+precision and recall. Default value is 1.</p></li>
+<li><p><strong>threshold</strong> – Elements of <cite>y_pred</cite> greater than threshold are
+converted to be 1, and the rest 0. If threshold is
+None, the argmax is converted to 1, and the rest 0.</p></li>
+<li><p><strong>name</strong> – (Optional) String name of the metric instance.</p></li>
+<li><p><strong>dtype</strong> – (Optional) Data type of the metric result.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>float.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>F-Beta Score</p>
+</dd>
+</dl>
+<p>Initialize FBetaScore class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.update_state">
+<span class="sig-name descname"><span class="pre">update_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.update_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update state.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.result">
+<span class="sig-name descname"><span class="pre">result</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.result" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return f1 score.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the serializable config of the metric.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.reset_state">
+<span class="sig-name descname"><span class="pre">reset_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.reset_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset state.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.activity_regularizer">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">activity_regularizer</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.activity_regularizer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Optional regularizer function for the output of this layer.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_loss">
+<span class="sig-name descname"><span class="pre">add_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">losses</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_loss" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add loss tensor(s), potentially dependent on layer inputs.</p>
+<p>Some losses (for instance, activity regularization losses) may be
+dependent on the inputs passed when calling a layer. Hence, when reusing
+the same layer on different inputs <cite>a</cite> and <cite>b</cite>, some entries in
+<cite>layer.losses</cite> may be dependent on <cite>a</cite> and some on <cite>b</cite>. This method
+automatically keeps track of dependencies.</p>
+<p>This method can be used inside a subclassed layer or model’s <cite>call</cite>
+function, in which case <cite>losses</cite> should be a Tensor or list of Tensors.</p>
+<p>Example:</p>
+<p><a href="#id1"><span class="problematic" id="id2">``</span></a><a href="#id3"><span class="problematic" id="id4">`</span></a>python
+class MyLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def call(self, inputs):</dt><dd><p>self.add_loss(tf.abs(tf.reduce_mean(inputs)))
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id5"><span class="problematic" id="id6">``</span></a><a href="#id7"><span class="problematic" id="id8">`</span></a></p>
+<p>The same code works in distributed training: the input to <cite>add_loss()</cite>
+is treated like a regularization loss and averaged across replicas
+by the training loop (both built-in <cite>Model.fit()</cite> and compliant custom
+training loops).</p>
+<p>The <cite>add_loss</cite> method can also be called directly on a Functional Model
+during construction. In this case, any loss Tensors passed to this Model
+must be symbolic and be able to be traced back to the model’s <cite>Input`s.
+These losses become part of the model’s topology and are tracked in
+`get_config</cite>.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Activity</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(tf.abs(tf.reduce_mean(x)))</span>
+<span class="pre">`</span></code></p>
+<p>If this is not the case for your loss (if, for example, your loss
+references a <cite>Variable</cite> of one of the model’s layers), you can wrap your
+loss in a zero-argument lambda. These losses are not tracked as part of
+the model’s topology since they can’t be serialized.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">d</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">d(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Weight</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(lambda:</span> <span class="pre">tf.reduce_mean(d.kernel))</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>losses</strong> – Loss tensor, or list/tuple of tensors. Rather than tensors,
+losses may also be zero-argument callables which create a loss
+tensor.</p></li>
+<li><p><strong>**kwargs</strong> – Used for backwards compatibility only.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_metric">
+<span class="sig-name descname"><span class="pre">add_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_metric" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds metric tensor to the layer.</p>
+<p>This method can be used inside the <cite>call()</cite> method of a subclassed layer
+or model.</p>
+<p><a href="#id9"><span class="problematic" id="id10">``</span></a><a href="#id11"><span class="problematic" id="id12">`</span></a>python
+class MyMetricLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def __init__(self):</dt><dd><p>super(MyMetricLayer, self).__init__(name=’my_metric_layer’)
+self.mean = tf.keras.metrics.Mean(name=’metric_1’)</p>
+</dd>
+<dt>def call(self, inputs):</dt><dd><p>self.add_metric(self.mean(inputs))
+self.add_metric(tf.reduce_sum(inputs), name=’metric_2’)
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id13"><span class="problematic" id="id14">``</span></a><a href="#id15"><span class="problematic" id="id16">`</span></a></p>
+<p>This method can also be called directly on a Functional Model during
+construction. In this case, any tensor passed to this Model must
+be symbolic and be able to be traced back to the model’s <cite>Input`s. These
+metrics become part of the model’s topology and are tracked when you
+save the model via `save()</cite>.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(math_ops.reduce_sum(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<p>Note: Calling <cite>add_metric()</cite> with the result of a metric object on a
+Functional Model, as shown in the example below, is not supported. This
+is because we cannot trace the metric result tensor back to the model’s
+inputs.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(tf.keras.metrics.Mean()(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>value</strong> – Metric tensor.</p></li>
+<li><p><strong>name</strong> – String metric name.</p></li>
+<li><p><strong>**kwargs</strong> – Additional keyword arguments for backward compatibility.
+Accepted values:
+<cite>aggregation</cite> - When the <cite>value</cite> tensor provided is not the result
+of calling a <cite>keras.Metric</cite> instance, it will be aggregated by
+default using a <cite>keras.Metric.Mean</cite>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_update">
+<span class="sig-name descname"><span class="pre">add_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">updates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add update op(s), potentially dependent on layer inputs.</p>
+<p>Weight updates (for instance, the updates of the moving mean and
+variance in a BatchNormalization layer) may be dependent on the inputs
+passed when calling a layer. Hence, when reusing the same layer on
+different inputs <cite>a</cite> and <cite>b</cite>, some entries in <cite>layer.updates</cite> may be
+dependent on <cite>a</cite> and some on <cite>b</cite>. This method automatically keeps track
+of dependencies.</p>
+<p>This call is ignored when eager execution is enabled (in that case,
+variable updates are run on the fly and thus do not need to be tracked
+for later execution).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>updates</strong> – Update op, or list/tuple of update ops, or zero-arg callable
+that returns an update op. A zero-arg callable should be passed in
+order to disable running the updates by setting <cite>trainable=False</cite>
+on this Layer, when executing in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_variable">
+<span class="sig-name descname"><span class="pre">add_variable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_variable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Deprecated, do NOT use! Alias for <cite>add_weight</cite>.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.add_weight">
+<span class="sig-name descname"><span class="pre">add_weight</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aggregation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableAggregationV2.SUM</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">synchronization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableSynchronization.ON_READ</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.add_weight" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds state variable. Only for use by subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.build">
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.build" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates the variables of the layer (for subclass implementers).</p>
+<p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
+can override if they need a state-creation step in-between
+layer instantiation and layer call. It is invoked automatically before
+the first execution of <cite>call()</cite>.</p>
+<p>This is typically used to create the weights of <cite>Layer</cite> subclasses
+(at the discretion of the subclass implementer).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Instance of <cite>TensorShape</cite>, or list of instances of
+<cite>TensorShape</cite> if the layer expects a list of inputs
+(one instance per input).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.build_from_config">
+<span class="sig-name descname"><span class="pre">build_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.build_from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Builds the layer’s states with the supplied config dict.</p>
+<p>By default, this method calls the <cite>build(config[“input_shape”])</cite> method,
+which creates weights based on the layer’s input shape in the supplied
+config. If your config contains other information needed to load the
+layer’s state, you should override this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – Dict containing the input shape associated with this layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.call">
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.call" title="Permalink to this definition">¶</a></dt>
+<dd><p>This is where the layer’s logic lives.</p>
+<p>The <cite>call()</cite> method may not create state (except in its first
+invocation, wrapping the creation of variables or other resources in
+<cite>tf.init_scope()</cite>).  It is recommended to create state, including
+<cite>tf.Variable</cite> instances and nested <cite>Layer</cite> instances,</p>
+<blockquote>
+<div><p>in <cite>__init__()</cite>, or in the <cite>build()</cite> method that is</p>
+</div></blockquote>
+<p>called automatically before <cite>call()</cite> executes for the first time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – <p>Input tensor, or dict/list/tuple of input tensors.
+The first positional <cite>inputs</cite> argument is subject to special rules:
+- <cite>inputs</cite> must be explicitly passed. A layer cannot have zero</p>
+<blockquote>
+<div><p>arguments, and <cite>inputs</cite> cannot be provided via the default value
+of a keyword argument.</p>
+</div></blockquote>
+<ul>
+<li><p>NumPy array or Python scalar values in <cite>inputs</cite> get cast as
+tensors.</p></li>
+<li><p>Keras mask metadata is only collected from <cite>inputs</cite>.</p></li>
+<li><p>Layers are built (<cite>build(input_shape)</cite> method)
+using shape info from <cite>inputs</cite> only.</p></li>
+<li><p><cite>input_spec</cite> compatibility is only checked against <cite>inputs</cite>.</p></li>
+<li><p>Mixed precision input casting is only applied to <cite>inputs</cite>.
+If a layer has tensor arguments in <cite>*args</cite> or <cite>**kwargs</cite>, their
+casting behavior in mixed precision should be handled manually.</p></li>
+<li><p>The SavedModel input specification is generated using <cite>inputs</cite>
+only.</p></li>
+<li><p>Integration with various ecosystem packages like TFMOT, TFLite,
+TF.js, etc is only supported for <cite>inputs</cite> and not for tensors in
+positional and keyword arguments.</p></li>
+</ul>
+</p></li>
+<li><p><strong>*args</strong> – Additional positional arguments. May contain tensors, although
+this is not recommended, for the reasons above.</p></li>
+<li><p><strong>**kwargs</strong> – <p>Additional keyword arguments. May contain tensors, although
+this is not recommended, for the reasons above.
+The following optional keyword arguments are reserved:
+- <cite>training</cite>: Boolean scalar tensor of Python boolean indicating</p>
+<blockquote>
+<div><p>whether the <cite>call</cite> is meant for training or inference.</p>
+</div></blockquote>
+<ul>
+<li><p><cite>mask</cite>: Boolean input mask. If the layer’s <cite>call()</cite> method takes a
+<cite>mask</cite> argument, its default value will be set to the mask
+generated for <cite>inputs</cite> by the previous layer (if <cite>input</cite> did come
+from a layer that generated a corresponding mask, i.e. if it came
+from a Keras layer with masking support).</p></li>
+</ul>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor or list/tuple of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">compute_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer’s computations.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.compute_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.dtype</cite>, the dtype of
+the weights.</p>
+<p>Layers automatically cast their inputs to the compute dtype, which
+causes computations and the output to be in the compute dtype as well.
+This is done by the base Layer class in <cite>Layer.__call__</cite>, so you do not
+have to insert these casts if implementing your own layer.</p>
+<p>Layers often perform certain internal computations in higher precision
+when <cite>compute_dtype</cite> is float16 or bfloat16 for numeric stability. The
+output will still typically be float16 or bfloat16 in such cases.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The layer’s compute dtype.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_mask">
+<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes an output mask tensor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – Tensor or list of tensors.</p></li>
+<li><p><strong>mask</strong> – Tensor or list of tensors.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>None or a tensor (or list of tensors,</dt><dd><p>one per output tensor of the layer).</p>
+</dd>
+</dl>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_shape">
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes the output shape of the layer.</p>
+<p>This method will cause the layer’s state to be built, if that has not
+happened before. This requires that the layer will later be used with
+inputs that match the input shape provided here.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Shape tuple (tuple of integers) or <cite>tf.TensorShape</cite>,
+or structure of shape tuples / <cite>tf.TensorShape</cite> instances
+(one per output tensor of the layer).
+Shape tuples can include None for free dimensions,
+instead of an integer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A <cite>tf.TensorShape</cite> instance
+or structure of <cite>tf.TensorShape</cite> instances.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_signature">
+<span class="sig-name descname"><span class="pre">compute_output_signature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_signature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_signature" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the output tensor signature of the layer based on the inputs.</p>
+<p>Unlike a TensorShape object, a TensorSpec object contains both shape
+and dtype information for a tensor. This method allows layers to provide
+output dtype information if it is different from the input dtype.
+For any layer that doesn’t implement this function,
+the framework will fall back to use <cite>compute_output_shape</cite>, and will
+assume that the output dtype matches the input dtype.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_signature</strong> – Single TensorSpec or nested structure of TensorSpec
+objects, describing a candidate input for the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>Single TensorSpec or nested structure of TensorSpec objects,</dt><dd><p>describing how the layer would transform the provided input.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>TypeError</strong> – If input_signature contains a non-TensorSpec object.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.count_params">
+<span class="sig-name descname"><span class="pre">count_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.count_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Count the total number of scalars composing the weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>An integer count.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – if the layer isn’t yet built
+    (in which case its weights aren’t yet defined).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer weights.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.variable_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.compute_dtype</cite>, the
+dtype of the layer’s computations.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.dtype_policy">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype_policy</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.dtype_policy" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype policy associated with this layer.</p>
+<p>This is an instance of a <cite>tf.keras.mixed_precision.Policy</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.dynamic">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dynamic</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.dynamic" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether the layer is dynamic (eager-only); set in the constructor.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.finalize_state">
+<span class="sig-name descname"><span class="pre">finalize_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.finalize_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Finalizes the layers state after updating layer weights.</p>
+<p>This function can be subclassed in a layer and will be called after
+updating a layer weights. It can be overridden to finalize any
+additional layer state after a weight update.</p>
+<p>This function will be called after weights of a layer have been restored
+from a loaded model.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.from_config">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a layer from its config.</p>
+<p>This method is the reverse of <cite>get_config</cite>,
+capable of instantiating the same layer from the config
+dictionary. It does not handle layer connectivity
+(handled by Network), nor weights (handled by <cite>set_weights</cite>).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – A Python dictionary, typically the
+output of get_config.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A layer instance.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_build_config">
+<span class="sig-name descname"><span class="pre">get_build_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_build_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a dictionary with the layer’s input shape.</p>
+<p>This method returns a config dict that can be used by
+<cite>build_from_config(config)</cite> to create all states (e.g. Variables and
+Lookup tables) needed by the layer.</p>
+<p>By default, the config only contains the input shape that the layer
+was built with. If you’re writing a custom layer that creates state in
+an unusual way, you should override this method to make sure this state
+is already created when Keras attempts to load its value upon model
+loading.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A dict containing the input shape associated with the layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_input_at">
+<span class="sig-name descname"><span class="pre">get_input_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first input node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_input_mask_at">
+<span class="sig-name descname"><span class="pre">get_input_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple inputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_input_shape_at">
+<span class="sig-name descname"><span class="pre">get_input_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_output_at">
+<span class="sig-name descname"><span class="pre">get_output_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first output node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_output_mask_at">
+<span class="sig-name descname"><span class="pre">get_output_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple outputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_output_shape_at">
+<span class="sig-name descname"><span class="pre">get_output_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.get_weights">
+<span class="sig-name descname"><span class="pre">get_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.get_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the current weights of the layer, as NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+returns both trainable and non-trainable weight values associated with
+this layer as a list of NumPy arrays, which can in turn be used to load
+state into similarly parameterized layers.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Weights values as a list of NumPy arrays.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.inbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">inbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.inbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes upstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input tensor or list of input tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>RuntimeError</strong> – If called in Eager mode.</p></li>
+<li><p><strong>AttributeError</strong> – If no inbound nodes are found.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input mask tensor (potentially None) or list of input
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer, or if all inputs
+have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input shape, as an integer shape tuple
+(or list of shape tuples, one tuple per input tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined input_shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.input_spec">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_spec</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.input_spec" title="Permalink to this definition">¶</a></dt>
+<dd><p><cite>InputSpec</cite> instance(s) describing the input format for this layer.</p>
+<p>When you create a layer subclass, you can set <cite>self.input_spec</cite> to
+enable the layer to run input compatibility checks when it is called.
+Consider a <cite>Conv2D</cite> layer: it can only be called on a single input
+tensor of rank 4. As such, you can set, in <cite>__init__()</cite>:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">self.input_spec</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.InputSpec(ndim=4)</span>
+<span class="pre">`</span></code></p>
+<p>Now, if you try to call the layer on an input that isn’t rank 4
+(for instance, an input of shape <cite>(2,)</cite>, it will raise a
+nicely-formatted error:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`</span>
+<span class="pre">ValueError:</span> <span class="pre">Input</span> <span class="pre">0</span> <span class="pre">of</span> <span class="pre">layer</span> <span class="pre">conv2d</span> <span class="pre">is</span> <span class="pre">incompatible</span> <span class="pre">with</span> <span class="pre">the</span> <span class="pre">layer:</span>
+<span class="pre">expected</span> <span class="pre">ndim=4,</span> <span class="pre">found</span> <span class="pre">ndim=1.</span> <span class="pre">Full</span> <span class="pre">shape</span> <span class="pre">received:</span> <span class="pre">[2]</span>
+<span class="pre">`</span></code></p>
+<p>Input checks that can be specified via <cite>input_spec</cite> include:
+- Structure (e.g. a single input, a list of 2 inputs, etc)
+- Shape
+- Rank (ndim)
+- Dtype</p>
+<p>For more information, see <cite>tf.keras.layers.InputSpec</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A <cite>tf.keras.layers.InputSpec</cite> instance, or nested structure thereof.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.load_own_variables">
+<span class="sig-name descname"><span class="pre">load_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.load_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Loads the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is loaded upon calling <cite>keras.models.load_model()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict from which the state of the model will be loaded.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.losses">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">losses</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.losses" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of losses added using the <cite>add_loss()</cite> API.</p>
+<p>Variable regularization tensors are created when this property is
+accessed, so it is eager safe: accessing <cite>losses</cite> under a
+<cite>tf.GradientTape</cite> will propagate gradients back to the corresponding
+variables.</p>
+<p>Examples:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="bp">self</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">inputs</span><span class="p">)))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">inputs</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span> <span class="o">=</span> <span class="n">MyLayer</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[1.0]</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">)(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Activity regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">0</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">1</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">kernel_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Weight regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">kernel</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[&lt;tf.Tensor: shape=(), dtype=float32, numpy=1.0&gt;]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.merge_state">
+<span class="sig-name descname"><span class="pre">merge_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.merge_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merges the state from one or more metrics.</p>
+<p>This method can be used by distributed systems to merge the state
+computed by different metric instances. Typically the state will be
+stored in the form of the metric’s weights. For example, a
+tf.keras.metrics.Mean metric contains a list of two weight values: a
+total and a count. If there were two instances of a
+tf.keras.metrics.Accuracy that each independently aggregated partial
+state for an overall accuracy calculation, these two metric’s states
+could be combined as follows:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m1</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m2</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">merge_state</span><span class="p">([</span><span class="n">m1</span><span class="p">])</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">result</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+<span class="go">0.75</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>metrics</strong> – an iterable of metrics. The metrics must have compatible
+state.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided iterable does not contain metrics matching
+    the metric’s required specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.metrics">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metrics</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.metrics" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of metrics added using the <cite>add_metric()</cite> API.</p>
+<p>Example:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">input</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'max'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'min'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="p">[</span><span class="n">m</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">d</span><span class="o">.</span><span class="n">metrics</span><span class="p">]</span>
+<span class="go">['max', 'min']</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of <cite>Metric</cite> objects.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.name">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Name of the layer (string), set in the constructor.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.name_scope">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name_scope</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a <cite>tf.name_scope</cite> instance for this class.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of non-trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all non-trainable weights tracked by this layer.</p>
+<p>Non-trainable weights are <em>not</em> updated during training. They are
+expected to be updated manually in <cite>call()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of non-trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.outbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">outbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.outbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes downstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.output">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.output" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one output,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output tensor or list of output tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to more than one incoming
+    layers.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.output_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.output_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output mask tensor (potentially None) or list of output
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.output_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer.</p>
+<p>Only applicable if the layer has one output,
+or if all outputs have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output shape, as an integer shape tuple
+(or list of shape tuples, one tuple per output tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined output shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.reset_states">
+<span class="sig-name descname"><span class="pre">reset_states</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.reset_states" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.save_own_variables">
+<span class="sig-name descname"><span class="pre">save_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.save_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is saved upon calling <cite>model.save()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict where the state of the model will be saved.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.set_weights">
+<span class="sig-name descname"><span class="pre">set_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.set_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sets the weights of the layer, from NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+sets the weight values from numpy arrays. The weight values should be
+passed in the order they are created by the layer. Note that the layer’s
+weights must be instantiated before calling this function, by calling
+the layer.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>weights</strong> – a list of NumPy arrays. The number
+of arrays and their shape must match
+number of the dimensions of the weights
+of the layer (i.e. it should match the
+output of <cite>get_weights</cite>).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided weights list does not match the
+    layer’s specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.stateful">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stateful</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.stateful" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.submodules">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">submodules</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.submodules" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of all sub-modules.</p>
+<p>Submodules are modules which are properties of this module, or found as
+properties of modules which are properties of this module (and so on).</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">c</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span><span class="o">.</span><span class="n">c</span> <span class="o">=</span> <span class="n">c</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">b</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[]</span>
+<span class="go">True</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of all submodules.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.supports_masking">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">supports_masking</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.supports_masking" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether this layer supports computing a mask using <cite>compute_mask</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.trainable">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.trainable" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all trainable weights tracked by this layer.</p>
+<p>Trainable weights are updated via gradient descent during training.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.updates">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">updates</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.updates" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.variable_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variable_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.variable_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>Alias of <cite>Layer.dtype</cite>, the dtype of the weights.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<p>Alias of <cite>self.weights</cite>.</p>
+<p>Note: This will not track the weights of nested <cite>tf.Modules</cite> that are
+not themselves Keras layers.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.FBetaScore.with_name_scope">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">with_name_scope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.FBetaScore.with_name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Decorator to automatically enter the module name scope.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyModule</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="nd">@tf</span><span class="o">.</span><span class="n">Module</span><span class="o">.</span><span class="n">with_name_scope</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">'w'</span><span class="p">):</span>
+<span class="gp">... </span>      <span class="bp">self</span><span class="o">.</span><span class="n">w</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">([</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">3</span><span class="p">]))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">w</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Using the above module would produce <a href="#id17"><span class="problematic" id="id18">`</span></a>tf.Variable`s and <a href="#id19"><span class="problematic" id="id20">`</span></a>tf.Tensor`s whose
+names included the module name:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span> <span class="o">=</span> <span class="n">MyModule</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;tf.Tensor: shape=(1, 3), dtype=float32, numpy=..., dtype=float32)&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="o">.</span><span class="n">w</span>
+<span class="go">&lt;tf.Variable 'my_module/Variable:0' shape=(2, 3) dtype=float32,</span>
+<span class="go">numpy=..., dtype=float32)&gt;</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>method</strong> – The method to wrap.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The original method wrapped such that it enters the module’s name scope.</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.labeler_utils.</span></span><span class="sig-name descname"><span class="pre">F1Score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.labelers.labeler_utils.FBetaScore" title="dataprofiler.labelers.labeler_utils.FBetaScore"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.labeler_utils.FBetaScore</span></code></a></p>
+<p>Computes F-1 Score.</p>
+<p># Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     <a class="reference external" href="http://www.apache.org/licenses/LICENSE-2.0">http://www.apache.org/licenses/LICENSE-2.0</a>
+#     <a class="reference external" href="https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE">https://github.com/tensorflow/addons/blob/v0.12.0/LICENSE</a>
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================</p>
+<p>It is the harmonic mean of precision and recall.
+Output range is <cite>[0, 1]</cite>. Works for both multi-class
+and multi-label classification.
+$$
+F_1 = 2 cdot frac{textrm{precision}
+cdot textrm{recall}}{textrm{precision} + textrm{recall}}
+$$
+:param num_classes: Number of unique classes in the dataset.
+:param average: Type of averaging to be performed on data.</p>
+<blockquote>
+<div><p>Acceptable values are <cite>None</cite>, <cite>micro</cite>, <cite>macro</cite>
+and <cite>weighted</cite>. Default value is None.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>threshold</strong> – Elements of <cite>y_pred</cite> above threshold are
+considered to be 1, and the rest 0. If threshold is
+None, the argmax is converted to 1, and the rest 0.</p></li>
+<li><p><strong>name</strong> – (Optional) String name of the metric instance.</p></li>
+<li><p><strong>dtype</strong> – (Optional) Data type of the metric result.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>float.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>F-1 Score</p>
+</dd>
+</dl>
+<p>Initialize F1Score object.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.activity_regularizer">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">activity_regularizer</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.activity_regularizer" title="Permalink to this definition">¶</a></dt>
+<dd><p>Optional regularizer function for the output of this layer.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_loss">
+<span class="sig-name descname"><span class="pre">add_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">losses</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_loss" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add loss tensor(s), potentially dependent on layer inputs.</p>
+<p>Some losses (for instance, activity regularization losses) may be
+dependent on the inputs passed when calling a layer. Hence, when reusing
+the same layer on different inputs <cite>a</cite> and <cite>b</cite>, some entries in
+<cite>layer.losses</cite> may be dependent on <cite>a</cite> and some on <cite>b</cite>. This method
+automatically keeps track of dependencies.</p>
+<p>This method can be used inside a subclassed layer or model’s <cite>call</cite>
+function, in which case <cite>losses</cite> should be a Tensor or list of Tensors.</p>
+<p>Example:</p>
+<p><a href="#id21"><span class="problematic" id="id22">``</span></a><a href="#id23"><span class="problematic" id="id24">`</span></a>python
+class MyLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def call(self, inputs):</dt><dd><p>self.add_loss(tf.abs(tf.reduce_mean(inputs)))
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id25"><span class="problematic" id="id26">``</span></a><a href="#id27"><span class="problematic" id="id28">`</span></a></p>
+<p>The same code works in distributed training: the input to <cite>add_loss()</cite>
+is treated like a regularization loss and averaged across replicas
+by the training loop (both built-in <cite>Model.fit()</cite> and compliant custom
+training loops).</p>
+<p>The <cite>add_loss</cite> method can also be called directly on a Functional Model
+during construction. In this case, any loss Tensors passed to this Model
+must be symbolic and be able to be traced back to the model’s <cite>Input`s.
+These losses become part of the model’s topology and are tracked in
+`get_config</cite>.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Activity</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(tf.abs(tf.reduce_mean(x)))</span>
+<span class="pre">`</span></code></p>
+<p>If this is not the case for your loss (if, for example, your loss
+references a <cite>Variable</cite> of one of the model’s layers), you can wrap your
+loss in a zero-argument lambda. These losses are not tracked as part of
+the model’s topology since they can’t be serialized.</p>
+<p>Example:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">d</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">d(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">#</span> <span class="pre">Weight</span> <span class="pre">regularization.</span>
+<span class="pre">model.add_loss(lambda:</span> <span class="pre">tf.reduce_mean(d.kernel))</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>losses</strong> – Loss tensor, or list/tuple of tensors. Rather than tensors,
+losses may also be zero-argument callables which create a loss
+tensor.</p></li>
+<li><p><strong>**kwargs</strong> – Used for backwards compatibility only.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_metric">
+<span class="sig-name descname"><span class="pre">add_metric</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_metric" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds metric tensor to the layer.</p>
+<p>This method can be used inside the <cite>call()</cite> method of a subclassed layer
+or model.</p>
+<p><a href="#id29"><span class="problematic" id="id30">``</span></a><a href="#id31"><span class="problematic" id="id32">`</span></a>python
+class MyMetricLayer(tf.keras.layers.Layer):</p>
+<blockquote>
+<div><dl class="simple">
+<dt>def __init__(self):</dt><dd><p>super(MyMetricLayer, self).__init__(name=’my_metric_layer’)
+self.mean = tf.keras.metrics.Mean(name=’metric_1’)</p>
+</dd>
+<dt>def call(self, inputs):</dt><dd><p>self.add_metric(self.mean(inputs))
+self.add_metric(tf.reduce_sum(inputs), name=’metric_2’)
+return inputs</p>
+</dd>
+</dl>
+</div></blockquote>
+<p><a href="#id33"><span class="problematic" id="id34">``</span></a><a href="#id35"><span class="problematic" id="id36">`</span></a></p>
+<p>This method can also be called directly on a Functional Model during
+construction. In this case, any tensor passed to this Model must
+be symbolic and be able to be traced back to the model’s <cite>Input`s. These
+metrics become part of the model’s topology and are tracked when you
+save the model via `save()</cite>.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(math_ops.reduce_sum(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<p>Note: Calling <cite>add_metric()</cite> with the result of a metric object on a
+Functional Model, as shown in the example below, is not supported. This
+is because we cannot trace the metric result tensor back to the model’s
+inputs.</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">inputs</span> <span class="pre">=</span> <span class="pre">tf.keras.Input(shape=(10,))</span>
+<span class="pre">x</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(10)(inputs)</span>
+<span class="pre">outputs</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.Dense(1)(x)</span>
+<span class="pre">model</span> <span class="pre">=</span> <span class="pre">tf.keras.Model(inputs,</span> <span class="pre">outputs)</span>
+<span class="pre">model.add_metric(tf.keras.metrics.Mean()(x),</span> <span class="pre">name='metric_1')</span>
+<span class="pre">`</span></code></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>value</strong> – Metric tensor.</p></li>
+<li><p><strong>name</strong> – String metric name.</p></li>
+<li><p><strong>**kwargs</strong> – Additional keyword arguments for backward compatibility.
+Accepted values:
+<cite>aggregation</cite> - When the <cite>value</cite> tensor provided is not the result
+of calling a <cite>keras.Metric</cite> instance, it will be aggregated by
+default using a <cite>keras.Metric.Mean</cite>.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_update">
+<span class="sig-name descname"><span class="pre">add_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">updates</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add update op(s), potentially dependent on layer inputs.</p>
+<p>Weight updates (for instance, the updates of the moving mean and
+variance in a BatchNormalization layer) may be dependent on the inputs
+passed when calling a layer. Hence, when reusing the same layer on
+different inputs <cite>a</cite> and <cite>b</cite>, some entries in <cite>layer.updates</cite> may be
+dependent on <cite>a</cite> and some on <cite>b</cite>. This method automatically keeps track
+of dependencies.</p>
+<p>This call is ignored when eager execution is enabled (in that case,
+variable updates are run on the fly and thus do not need to be tracked
+for later execution).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>updates</strong> – Update op, or list/tuple of update ops, or zero-arg callable
+that returns an update op. A zero-arg callable should be passed in
+order to disable running the updates by setting <cite>trainable=False</cite>
+on this Layer, when executing in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_variable">
+<span class="sig-name descname"><span class="pre">add_variable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_variable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Deprecated, do NOT use! Alias for <cite>add_weight</cite>.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.add_weight">
+<span class="sig-name descname"><span class="pre">add_weight</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">aggregation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableAggregationV2.SUM</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">synchronization</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">VariableSynchronization.ON_READ</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initializer</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.add_weight" title="Permalink to this definition">¶</a></dt>
+<dd><p>Adds state variable. Only for use by subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.build">
+<span class="sig-name descname"><span class="pre">build</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.build" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates the variables of the layer (for subclass implementers).</p>
+<p>This is a method that implementers of subclasses of <cite>Layer</cite> or <cite>Model</cite>
+can override if they need a state-creation step in-between
+layer instantiation and layer call. It is invoked automatically before
+the first execution of <cite>call()</cite>.</p>
+<p>This is typically used to create the weights of <cite>Layer</cite> subclasses
+(at the discretion of the subclass implementer).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Instance of <cite>TensorShape</cite>, or list of instances of
+<cite>TensorShape</cite> if the layer expects a list of inputs
+(one instance per input).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.build_from_config">
+<span class="sig-name descname"><span class="pre">build_from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.build_from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Builds the layer’s states with the supplied config dict.</p>
+<p>By default, this method calls the <cite>build(config[“input_shape”])</cite> method,
+which creates weights based on the layer’s input shape in the supplied
+config. If your config contains other information needed to load the
+layer’s state, you should override this method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – Dict containing the input shape associated with this layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.call">
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.call" title="Permalink to this definition">¶</a></dt>
+<dd><p>This is where the layer’s logic lives.</p>
+<p>The <cite>call()</cite> method may not create state (except in its first
+invocation, wrapping the creation of variables or other resources in
+<cite>tf.init_scope()</cite>).  It is recommended to create state, including
+<cite>tf.Variable</cite> instances and nested <cite>Layer</cite> instances,</p>
+<blockquote>
+<div><p>in <cite>__init__()</cite>, or in the <cite>build()</cite> method that is</p>
+</div></blockquote>
+<p>called automatically before <cite>call()</cite> executes for the first time.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – <p>Input tensor, or dict/list/tuple of input tensors.
+The first positional <cite>inputs</cite> argument is subject to special rules:
+- <cite>inputs</cite> must be explicitly passed. A layer cannot have zero</p>
+<blockquote>
+<div><p>arguments, and <cite>inputs</cite> cannot be provided via the default value
+of a keyword argument.</p>
+</div></blockquote>
+<ul>
+<li><p>NumPy array or Python scalar values in <cite>inputs</cite> get cast as
+tensors.</p></li>
+<li><p>Keras mask metadata is only collected from <cite>inputs</cite>.</p></li>
+<li><p>Layers are built (<cite>build(input_shape)</cite> method)
+using shape info from <cite>inputs</cite> only.</p></li>
+<li><p><cite>input_spec</cite> compatibility is only checked against <cite>inputs</cite>.</p></li>
+<li><p>Mixed precision input casting is only applied to <cite>inputs</cite>.
+If a layer has tensor arguments in <cite>*args</cite> or <cite>**kwargs</cite>, their
+casting behavior in mixed precision should be handled manually.</p></li>
+<li><p>The SavedModel input specification is generated using <cite>inputs</cite>
+only.</p></li>
+<li><p>Integration with various ecosystem packages like TFMOT, TFLite,
+TF.js, etc is only supported for <cite>inputs</cite> and not for tensors in
+positional and keyword arguments.</p></li>
+</ul>
+</p></li>
+<li><p><strong>*args</strong> – Additional positional arguments. May contain tensors, although
+this is not recommended, for the reasons above.</p></li>
+<li><p><strong>**kwargs</strong> – <p>Additional keyword arguments. May contain tensors, although
+this is not recommended, for the reasons above.
+The following optional keyword arguments are reserved:
+- <cite>training</cite>: Boolean scalar tensor of Python boolean indicating</p>
+<blockquote>
+<div><p>whether the <cite>call</cite> is meant for training or inference.</p>
+</div></blockquote>
+<ul>
+<li><p><cite>mask</cite>: Boolean input mask. If the layer’s <cite>call()</cite> method takes a
+<cite>mask</cite> argument, its default value will be set to the mask
+generated for <cite>inputs</cite> by the previous layer (if <cite>input</cite> did come
+from a layer that generated a corresponding mask, i.e. if it came
+from a Keras layer with masking support).</p></li>
+</ul>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor or list/tuple of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">compute_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer’s computations.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.compute_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.dtype</cite>, the dtype of
+the weights.</p>
+<p>Layers automatically cast their inputs to the compute dtype, which
+causes computations and the output to be in the compute dtype as well.
+This is done by the base Layer class in <cite>Layer.__call__</cite>, so you do not
+have to insert these casts if implementing your own layer.</p>
+<p>Layers often perform certain internal computations in higher precision
+when <cite>compute_dtype</cite> is float16 or bfloat16 for numeric stability. The
+output will still typically be float16 or bfloat16 in such cases.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>The layer’s compute dtype.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_mask">
+<span class="sig-name descname"><span class="pre">compute_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes an output mask tensor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>inputs</strong> – Tensor or list of tensors.</p></li>
+<li><p><strong>mask</strong> – Tensor or list of tensors.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>None or a tensor (or list of tensors,</dt><dd><p>one per output tensor of the layer).</p>
+</dd>
+</dl>
+</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_output_shape">
+<span class="sig-name descname"><span class="pre">compute_output_shape</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Computes the output shape of the layer.</p>
+<p>This method will cause the layer’s state to be built, if that has not
+happened before. This requires that the layer will later be used with
+inputs that match the input shape provided here.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_shape</strong> – Shape tuple (tuple of integers) or <cite>tf.TensorShape</cite>,
+or structure of shape tuples / <cite>tf.TensorShape</cite> instances
+(one per output tensor of the layer).
+Shape tuples can include None for free dimensions,
+instead of an integer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A <cite>tf.TensorShape</cite> instance
+or structure of <cite>tf.TensorShape</cite> instances.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.compute_output_signature">
+<span class="sig-name descname"><span class="pre">compute_output_signature</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_signature</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.compute_output_signature" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the output tensor signature of the layer based on the inputs.</p>
+<p>Unlike a TensorShape object, a TensorSpec object contains both shape
+and dtype information for a tensor. This method allows layers to provide
+output dtype information if it is different from the input dtype.
+For any layer that doesn’t implement this function,
+the framework will fall back to use <cite>compute_output_shape</cite>, and will
+assume that the output dtype matches the input dtype.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>input_signature</strong> – Single TensorSpec or nested structure of TensorSpec
+objects, describing a candidate input for the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p><dl class="simple">
+<dt>Single TensorSpec or nested structure of TensorSpec objects,</dt><dd><p>describing how the layer would transform the provided input.</p>
+</dd>
+</dl>
+</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>TypeError</strong> – If input_signature contains a non-TensorSpec object.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.count_params">
+<span class="sig-name descname"><span class="pre">count_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.count_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Count the total number of scalars composing the weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>An integer count.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – if the layer isn’t yet built
+    (in which case its weights aren’t yet defined).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype of the layer weights.</p>
+<p>This is equivalent to <cite>Layer.dtype_policy.variable_dtype</cite>. Unless
+mixed precision is used, this is the same as <cite>Layer.compute_dtype</cite>, the
+dtype of the layer’s computations.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.dtype_policy">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dtype_policy</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.dtype_policy" title="Permalink to this definition">¶</a></dt>
+<dd><p>The dtype policy associated with this layer.</p>
+<p>This is an instance of a <cite>tf.keras.mixed_precision.Policy</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.dynamic">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">dynamic</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.dynamic" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether the layer is dynamic (eager-only); set in the constructor.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.finalize_state">
+<span class="sig-name descname"><span class="pre">finalize_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.finalize_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Finalizes the layers state after updating layer weights.</p>
+<p>This function can be subclassed in a layer and will be called after
+updating a layer weights. It can be overridden to finalize any
+additional layer state after a weight update.</p>
+<p>This function will be called after weights of a layer have been restored
+from a loaded model.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.from_config">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">from_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.from_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Creates a layer from its config.</p>
+<p>This method is the reverse of <cite>get_config</cite>,
+capable of instantiating the same layer from the config
+dictionary. It does not handle layer connectivity
+(handled by Network), nor weights (handled by <cite>set_weights</cite>).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>config</strong> – A Python dictionary, typically the
+output of get_config.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A layer instance.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_build_config">
+<span class="sig-name descname"><span class="pre">get_build_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_build_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a dictionary with the layer’s input shape.</p>
+<p>This method returns a config dict that can be used by
+<cite>build_from_config(config)</cite> to create all states (e.g. Variables and
+Lookup tables) needed by the layer.</p>
+<p>By default, the config only contains the input shape that the layer
+was built with. If you’re writing a custom layer that creates state in
+an unusual way, you should override this method to make sure this state
+is already created when Keras attempts to load its value upon model
+loading.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A dict containing the input shape associated with the layer.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_input_at">
+<span class="sig-name descname"><span class="pre">get_input_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_input_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first input node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_input_mask_at">
+<span class="sig-name descname"><span class="pre">get_input_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_input_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple inputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_input_shape_at">
+<span class="sig-name descname"><span class="pre">get_input_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_input_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple inputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_output_at">
+<span class="sig-name descname"><span class="pre">get_output_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_output_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first output node of the layer.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A tensor (or list of tensors if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_output_mask_at">
+<span class="sig-name descname"><span class="pre">get_output_mask_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_output_mask_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A mask tensor
+(or list of tensors if the layer has multiple outputs).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_output_shape_at">
+<span class="sig-name descname"><span class="pre">get_output_shape_at</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_index</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_output_shape_at" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer at a given node.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>node_index</strong> – Integer, index of the node
+from which to retrieve the attribute.
+E.g. <cite>node_index=0</cite> will correspond to the
+first time the layer was called.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>A shape tuple
+(or list of shape tuples if the layer has multiple outputs).</p>
+</dd>
+<dt class="field-odd">Raises</dt>
+<dd class="field-odd"><p><strong>RuntimeError</strong> – If called in Eager mode.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_weights">
+<span class="sig-name descname"><span class="pre">get_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the current weights of the layer, as NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+returns both trainable and non-trainable weight values associated with
+this layer as a list of NumPy arrays, which can in turn be used to load
+state into similarly parameterized layers.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Weights values as a list of NumPy arrays.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.inbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">inbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.inbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes upstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input tensor or list of input tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>RuntimeError</strong> – If called in Eager mode.</p></li>
+<li><p><strong>AttributeError</strong> – If no inbound nodes are found.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input mask tensor (potentially None) or list of input
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the input shape(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one input,
+i.e. if it is connected to one incoming layer, or if all inputs
+have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Input shape, as an integer shape tuple
+(or list of shape tuples, one tuple per input tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined input_shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.input_spec">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">input_spec</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.input_spec" title="Permalink to this definition">¶</a></dt>
+<dd><p><cite>InputSpec</cite> instance(s) describing the input format for this layer.</p>
+<p>When you create a layer subclass, you can set <cite>self.input_spec</cite> to
+enable the layer to run input compatibility checks when it is called.
+Consider a <cite>Conv2D</cite> layer: it can only be called on a single input
+tensor of rank 4. As such, you can set, in <cite>__init__()</cite>:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`python</span>
+<span class="pre">self.input_spec</span> <span class="pre">=</span> <span class="pre">tf.keras.layers.InputSpec(ndim=4)</span>
+<span class="pre">`</span></code></p>
+<p>Now, if you try to call the layer on an input that isn’t rank 4
+(for instance, an input of shape <cite>(2,)</cite>, it will raise a
+nicely-formatted error:</p>
+<p><code class="docutils literal notranslate"><span class="pre">`</span>
+<span class="pre">ValueError:</span> <span class="pre">Input</span> <span class="pre">0</span> <span class="pre">of</span> <span class="pre">layer</span> <span class="pre">conv2d</span> <span class="pre">is</span> <span class="pre">incompatible</span> <span class="pre">with</span> <span class="pre">the</span> <span class="pre">layer:</span>
+<span class="pre">expected</span> <span class="pre">ndim=4,</span> <span class="pre">found</span> <span class="pre">ndim=1.</span> <span class="pre">Full</span> <span class="pre">shape</span> <span class="pre">received:</span> <span class="pre">[2]</span>
+<span class="pre">`</span></code></p>
+<p>Input checks that can be specified via <cite>input_spec</cite> include:
+- Structure (e.g. a single input, a list of 2 inputs, etc)
+- Shape
+- Rank (ndim)
+- Dtype</p>
+<p>For more information, see <cite>tf.keras.layers.InputSpec</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A <cite>tf.keras.layers.InputSpec</cite> instance, or nested structure thereof.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.load_own_variables">
+<span class="sig-name descname"><span class="pre">load_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.load_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Loads the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is loaded upon calling <cite>keras.models.load_model()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict from which the state of the model will be loaded.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.losses">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">losses</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.losses" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of losses added using the <cite>add_loss()</cite> API.</p>
+<p>Variable regularization tensors are created when this property is
+accessed, so it is eager safe: accessing <cite>losses</cite> under a
+<cite>tf.GradientTape</cite> will propagate gradients back to the corresponding
+variables.</p>
+<p>Examples:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyLayer</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Layer</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="nf">call</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="bp">self</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">inputs</span><span class="p">)))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">inputs</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span> <span class="o">=</span> <span class="n">MyLayer</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">l</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[1.0]</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">)(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Activity regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">0</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">losses</span><span class="p">)</span>
+<span class="go">1</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">inputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="n">kernel_initializer</span><span class="o">=</span><span class="s1">'ones'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="n">inputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">Model</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">outputs</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Weight regularization.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">add_loss</span><span class="p">(</span><span class="k">lambda</span><span class="p">:</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">kernel</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">model</span><span class="o">.</span><span class="n">losses</span>
+<span class="go">[&lt;tf.Tensor: shape=(), dtype=float32, numpy=1.0&gt;]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of tensors.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.merge_state">
+<span class="sig-name descname"><span class="pre">merge_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">metrics</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.merge_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merges the state from one or more metrics.</p>
+<p>This method can be used by distributed systems to merge the state
+computed by different metric instances. Typically the state will be
+stored in the form of the metric’s weights. For example, a
+tf.keras.metrics.Mean metric contains a list of two weight values: a
+total and a count. If there were two instances of a
+tf.keras.metrics.Accuracy that each independently aggregated partial
+state for an overall accuracy calculation, these two metric’s states
+could be combined as follows:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m1</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">1</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">0</span><span class="p">],</span> <span class="p">[</span><span class="mi">2</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">metrics</span><span class="o">.</span><span class="n">Accuracy</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">_</span> <span class="o">=</span> <span class="n">m2</span><span class="o">.</span><span class="n">update_state</span><span class="p">([[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]],</span> <span class="p">[[</span><span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">4</span><span class="p">]])</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">merge_state</span><span class="p">([</span><span class="n">m1</span><span class="p">])</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">m2</span><span class="o">.</span><span class="n">result</span><span class="p">()</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+<span class="go">0.75</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>metrics</strong> – an iterable of metrics. The metrics must have compatible
+state.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided iterable does not contain metrics matching
+    the metric’s required specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.metrics">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">metrics</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.metrics" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of metrics added using the <cite>add_metric()</cite> API.</p>
+<p>Example:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="nb">input</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Input</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">output</span> <span class="o">=</span> <span class="n">d</span><span class="p">(</span><span class="nb">input</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_max</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'max'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">d</span><span class="o">.</span><span class="n">add_metric</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_min</span><span class="p">(</span><span class="n">output</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'min'</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="p">[</span><span class="n">m</span><span class="o">.</span><span class="n">name</span> <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="n">d</span><span class="o">.</span><span class="n">metrics</span><span class="p">]</span>
+<span class="go">['max', 'min']</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of <cite>Metric</cite> objects.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.name">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.name" title="Permalink to this definition">¶</a></dt>
+<dd><p>Name of the layer (string), set in the constructor.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.name_scope">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">name_scope</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns a <cite>tf.name_scope</cite> instance for this class.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.non_trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of non-trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.non_trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">non_trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all non-trainable weights tracked by this layer.</p>
+<p>Non-trainable weights are <em>not</em> updated during training. They are
+expected to be updated manually in <cite>call()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of non-trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.outbound_nodes">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">outbound_nodes</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.outbound_nodes" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Functional API nodes downstream of this layer.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.output">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.output" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one output,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output tensor or list of output tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to more than one incoming
+    layers.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.output_mask">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_mask</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.output_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output mask tensor(s) of a layer.</p>
+<p>Only applicable if the layer has exactly one inbound node,
+i.e. if it is connected to one incoming layer.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output mask tensor (potentially None) or list of output
+mask tensors.</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer is connected to</p></li>
+<li><p><strong>more than one incoming layers.</strong> – </p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.output_shape">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">output_shape</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.output_shape" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieves the output shape(s) of a layer.</p>
+<p>Only applicable if the layer has one output,
+or if all outputs have the same shape.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Output shape, as an integer shape tuple
+(or list of shape tuples, one tuple per output tensor).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>AttributeError</strong> – if the layer has no defined output shape.</p></li>
+<li><p><strong>RuntimeError</strong> – if called in Eager mode.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.reset_state">
+<span class="sig-name descname"><span class="pre">reset_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.reset_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset state.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.reset_states">
+<span class="sig-name descname"><span class="pre">reset_states</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.reset_states" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.result">
+<span class="sig-name descname"><span class="pre">result</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.result" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return f1 score.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.save_own_variables">
+<span class="sig-name descname"><span class="pre">save_own_variables</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">store</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.save_own_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Saves the state of the layer.</p>
+<p>You can override this method to take full control of how the state of
+the layer is saved upon calling <cite>model.save()</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>store</strong> – Dict where the state of the model will be saved.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.set_weights">
+<span class="sig-name descname"><span class="pre">set_weights</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">weights</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.set_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sets the weights of the layer, from NumPy arrays.</p>
+<p>The weights of a layer represent the state of the layer. This function
+sets the weight values from numpy arrays. The weight values should be
+passed in the order they are created by the layer. Note that the layer’s
+weights must be instantiated before calling this function, by calling
+the layer.</p>
+<p>For example, a <cite>Dense</cite> layer returns a list of two values: the kernel
+matrix and the bias vector. These can be used to set the weights of
+another <cite>Dense</cite> layer:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">1.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a_out</span> <span class="o">=</span> <span class="n">layer_a</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">3.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">keras</span><span class="o">.</span><span class="n">layers</span><span class="o">.</span><span class="n">Dense</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span>
+<span class="gp">... </span>  <span class="n">kernel_initializer</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">constant_initializer</span><span class="p">(</span><span class="mf">2.</span><span class="p">))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b_out</span> <span class="o">=</span> <span class="n">layer_b</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">convert_to_tensor</span><span class="p">([[</span><span class="mf">10.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">30.</span><span class="p">]]))</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[2.],</span>
+<span class="go">       [2.],</span>
+<span class="go">       [2.]], dtype=float32), array([0.], dtype=float32)]</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">set_weights</span><span class="p">(</span><span class="n">layer_a</span><span class="o">.</span><span class="n">get_weights</span><span class="p">())</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">layer_b</span><span class="o">.</span><span class="n">get_weights</span><span class="p">()</span>
+<span class="go">[array([[1.],</span>
+<span class="go">       [1.],</span>
+<span class="go">       [1.]], dtype=float32), array([0.], dtype=float32)]</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>weights</strong> – a list of NumPy arrays. The number
+of arrays and their shape must match
+number of the dimensions of the weights
+of the layer (i.e. it should match the
+output of <cite>get_weights</cite>).</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p><strong>ValueError</strong> – If the provided weights list does not match the
+    layer’s specifications.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.stateful">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stateful</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.stateful" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.submodules">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">submodules</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.submodules" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of all sub-modules.</p>
+<p>Submodules are modules which are properties of this module, or found as
+properties of modules which are properties of this module (and so on).</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">a</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">c</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">a</span><span class="o">.</span><span class="n">b</span> <span class="o">=</span> <span class="n">b</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">b</span><span class="o">.</span><span class="n">c</span> <span class="o">=</span> <span class="n">c</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">a</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">b</span><span class="p">,</span> <span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">b</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[</span><span class="n">c</span><span class="p">]</span>
+<span class="go">True</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="nb">list</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">submodules</span><span class="p">)</span> <span class="o">==</span> <span class="p">[]</span>
+<span class="go">True</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of all submodules.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.supports_masking">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">supports_masking</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.supports_masking" title="Permalink to this definition">¶</a></dt>
+<dd><p>Whether this layer supports computing a mask using <cite>compute_mask</cite>.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.trainable">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.trainable" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.trainable_variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.trainable_variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sequence of trainable variables owned by this module and its submodules.</p>
+<p>Note: this method uses reflection to find variables on the current instance
+and submodules. For performance reasons you may wish to cache the result
+of calling this method if you don’t expect the return value to change.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A sequence of variables for the current module (sorted by attribute
+name) followed by variables from all submodules recursively (breadth
+first).</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.trainable_weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">trainable_weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.trainable_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>List of all trainable weights tracked by this layer.</p>
+<p>Trainable weights are updated via gradient descent during training.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of trainable variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.update_state">
+<span class="sig-name descname"><span class="pre">update_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">y_true</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_pred</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_weight</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">tf.Tensor</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.update_state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update state.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.updates">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">updates</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.updates" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.variable_dtype">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variable_dtype</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.variable_dtype" title="Permalink to this definition">¶</a></dt>
+<dd><p>Alias of <cite>Layer.dtype</cite>, the dtype of the weights.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.variables">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variables</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.variables" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<p>Alias of <cite>self.weights</cite>.</p>
+<p>Note: This will not track the weights of nested <cite>tf.Modules</cite> that are
+not themselves Keras layers.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.weights">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">weights</span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the list of all layer variables/weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>A list of variables.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.with_name_scope">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">with_name_scope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.with_name_scope" title="Permalink to this definition">¶</a></dt>
+<dd><p>Decorator to automatically enter the module name scope.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span> <span class="nc">MyModule</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+<span class="gp">... </span>  <span class="nd">@tf</span><span class="o">.</span><span class="n">Module</span><span class="o">.</span><span class="n">with_name_scope</span>
+<span class="gp">... </span>  <span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+<span class="gp">... </span>    <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">'w'</span><span class="p">):</span>
+<span class="gp">... </span>      <span class="bp">self</span><span class="o">.</span><span class="n">w</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">([</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="mi">3</span><span class="p">]))</span>
+<span class="gp">... </span>    <span class="k">return</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">w</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Using the above module would produce <a href="#id37"><span class="problematic" id="id38">`</span></a>tf.Variable`s and <a href="#id39"><span class="problematic" id="id40">`</span></a>tf.Tensor`s whose
+names included the module name:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span> <span class="o">=</span> <span class="n">MyModule</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]))</span>
+<span class="go">&lt;tf.Tensor: shape=(1, 3), dtype=float32, numpy=..., dtype=float32)&gt;</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">mod</span><span class="o">.</span><span class="n">w</span>
+<span class="go">&lt;tf.Variable 'my_module/Variable:0' shape=(2, 3) dtype=float32,</span>
+<span class="go">numpy=..., dtype=float32)&gt;</span>
+</pre></div>
+</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>method</strong> – The method to wrap.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>The original method wrapped such that it enters the module’s name scope.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.labeler_utils.F1Score.get_config">
+<span class="sig-name descname"><span class="pre">get_config</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.labeler_utils.F1Score.get_config" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get configuration.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.regex_model.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Regex Model</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.data_processing.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Processing</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.labeler_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.regex_model.html b/docs/0.10.3/html/dataprofiler.labelers.regex_model.html
new file mode 100644
index 000000000..1ccd5fd8b
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.regex_model.html
@@ -0,0 +1,486 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Utils" href="dataprofiler.labelers.utils.html" /><link rel="prev" title="Labeler Utils" href="dataprofiler.labelers.labeler_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Regex Model - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.regex_model">
+<span id="regex-model"></span><h1>Regex Model<a class="headerlink" href="#module-dataprofiler.labelers.regex_model" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for regex data labeling model.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.regex_model.</span></span><span class="sig-name descname"><span class="pre">RegexModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">parameters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel" title="dataprofiler.labelers.base_model.BaseModel"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.labelers.base_model.BaseModel</span></code></a></p>
+<p>Class for regex data labeling model.</p>
+<p>Initialize Regex Model.</p>
+<dl>
+<dt>Example regex_patterns:</dt><dd><dl>
+<dt>regex_patterns = {</dt><dd><dl class="simple">
+<dt>“LABEL_1”: [</dt><dd><p>“LABEL_1_pattern_1”,
+“LABEL_1_pattern_2”,
+…</p>
+</dd>
+</dl>
+<p>],
+“LABEL_2”: [</p>
+<blockquote>
+<div><p>“LABEL_2_pattern_1”,
+“LABEL_2_pattern_2”,
+…</p>
+</div></blockquote>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+<dt>Example encapsulators:</dt><dd><dl class="simple">
+<dt>encapsulators = {</dt><dd><p>‘start’: r’(?&lt;![w.$%-])’,
+‘end’: r’(?:(?=(b|[ ]))|(?=[^w%$]([^w]|$))|$)’,</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label_mapping</strong> (<em>dict</em>) – maps labels to their encoded integers</p></li>
+<li><p><strong>parameters</strong> (<em>dict</em>) – <p>Contains all the appropriate parameters for the model.
+Possible parameters are:</p>
+<blockquote>
+<div><p>max_length, max_num_chars, dim_embed</p>
+</div></blockquote>
+</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.reset_weights">
+<span class="sig-name descname"><span class="pre">reset_weights</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.reset_weights" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset weights.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.frame.DataFrame</span><span class="p"><span class="pre">,</span> </span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">show_confidences</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Apply the regex patterns (within regex_model) to the input_string.</p>
+<p>Create predictions for all matching patterns. Each pattern has an
+associated entity and the predictions of each character within the
+string are given a True or False identification for each entity. All
+characters not identified by ANY of the regex patterns in the
+pattern_dict are considered background characters, and are replaced with
+the default_label value.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>iterator</em>) – list of strings to predict upon</p></li>
+<li><p><strong>batch_size</strong> (<em>N/A</em>) – does not impact this model and should be fixed to not
+be required.</p></li>
+<li><p><strong>show_confidences</strong> – whether user wants prediction confidences</p></li>
+<li><p><strong>verbose</strong> (<em>bool</em>) – Flag to determine whether to print status or not</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>char level predictions and confidences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.load_from_disk">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.labelers.regex_model.RegexModel" title="dataprofiler.labelers.regex_model.RegexModel"><span class="pre">dataprofiler.labelers.regex_model.RegexModel</span></a></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.load_from_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load whole model from disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to load the model from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.save_to_disk">
+<span class="sig-name descname"><span class="pre">save_to_disk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.save_to_disk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save whole model to disk with weights.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>dirpath</strong> (<em>str</em>) – directory path where you want to save the model to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.add_label">
+<span class="sig-name descname"><span class="pre">add_label</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">same_as</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.add_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Add a label to the data labeler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>label</strong> (<em>str</em>) – new label being added to the data labeler</p></li>
+<li><p><strong>same_as</strong> (<em>str</em>) – label to have the same encoding index as for multi-label
+to single encoding index.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.get_class">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">get_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseModel</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.get_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get subclasses.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.get_parameters">
+<span class="sig-name descname"><span class="pre">get_parameters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">param_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.get_parameters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a dict of parameters from the model given a list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>param_list</strong> (<em>List</em><em>[</em><em>str</em><em>]</em>) – list of parameters to retrieve from the model.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dict of parameters</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.help">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">help</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.help" title="Permalink to this definition">¶</a></dt>
+<dd><p>Help describe alterable parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mapping of labels to their encoded values.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Retrieve the label.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list of labels</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.num_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">num_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.num_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return max label mapping.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.requires_zero_mapping">
+<span class="sig-name descname"><span class="pre">requires_zero_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><em class="property"> <span class="pre">=</span> <span class="pre">False</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.requires_zero_mapping" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[int,</span> <span class="pre">str]</span></em><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reversed order of current labels.</p>
+<p>Useful for when needed to extract Labels via indices.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.set_label_mapping">
+<span class="sig-name descname"><span class="pre">set_label_mapping</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">label_mapping</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.set_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the labels for the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>label_mapping</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>dict</em><em>]</em>) – label mapping of the model or list of labels to be
+converted into the label mapping</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.labelers.regex_model.RegexModel.set_params">
+<span class="sig-name descname"><span class="pre">set_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.regex_model.RegexModel.set_params" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set the parameters if they exist given kwargs.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.labeler_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Labeler Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.regex_model.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.labelers.utils.html b/docs/0.10.3/html/dataprofiler.labelers.utils.html
new file mode 100644
index 000000000..5e80492f9
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.labelers.utils.html
@@ -0,0 +1,308 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Validators" href="dataprofiler.validators.html" /><link rel="prev" title="Regex Model" href="dataprofiler.labelers.regex_model.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.labelers.utils">
+<span id="utils"></span><h1>Utils<a class="headerlink" href="#module-dataprofiler.labelers.utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for checking for installations/dependencies.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.utils.warn_missing_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.utils.</span></span><span class="sig-name descname"><span class="pre">warn_missing_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labeler_function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.labelers.utils.warn_missing_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a warning if a given graph module doesn’t exist.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>labeler_function</strong> (<em>str</em>) – Name of the graphing function</p></li>
+<li><p><strong>module_name</strong> (<em>str</em>) – module name that was missing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.labelers.utils.require_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.labelers.utils.</span></span><span class="sig-name descname"><span class="pre">require_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#dataprofiler.labelers.utils.require_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if a set of modules exists in sys.modules prior to running function.</p>
+<p>If they do not, give a user a warning and do not run the
+function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>names</strong> (<em>list</em><em>[</em><em>str</em><em>]</em>) – list of module names to check for in sys.modules</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.validators.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Validators</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.regex_model.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Regex Model</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.labelers.utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.base_column_profilers.html b/docs/0.10.3/html/dataprofiler.profilers.base_column_profilers.html
new file mode 100644
index 000000000..d71229564
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.base_column_profilers.html
@@ -0,0 +1,457 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Categorical Column Profile" href="dataprofiler.profilers.categorical_column_profile.html" /><link rel="prev" title="Report Helpers" href="dataprofiler.profilers.helpers.report_helpers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Column Profilers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.base_column_profilers">
+<span id="base-column-profilers"></span><h1>Base Column Profilers<a class="headerlink" href="#module-dataprofiler.profilers.base_column_profilers" title="Permalink to this headline">¶</a></h1>
+<p>Contains parent column profiler class.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.base_column_profilers.</span></span><span class="sig-name descname"><span class="pre">BaseColumnProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">BaseOption</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfilerT</span></code>]</p>
+<p>Abstract class for profiling a column of data.</p>
+<p>Initialize base class properties for the subclass.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>String</em>) – Name of the dataset</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfilerT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><em>BaseColumnProfiler</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the stat differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.update">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>Pandas Dataframe</em>) – Data to profile.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.profile">
+<em class="property"><span class="pre">abstract</span> <span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.report">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.base_column_profilers.</span></span><span class="sig-name descname"><span class="pre">BaseColumnPrimitiveTypeProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfilerT</span></code>]</p>
+<p>Abstract class for profiling primative data type for col of data.</p>
+<p>Initialize base class properties for the subclass.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>String</em>) – Name of the data</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfilerT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><em>BaseColumnProfiler</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the stat differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.profile">
+<em class="property"><span class="pre">abstract</span> <span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.report">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.update">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>Pandas Dataframe</em>) – Data to profile.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.categorical_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Categorical Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.helpers.report_helpers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Report Helpers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.base_column_profilers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.categorical_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.categorical_column_profile.html
new file mode 100644
index 000000000..0d49993ab
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.categorical_column_profile.html
@@ -0,0 +1,449 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Column Profile Compilers" href="dataprofiler.profilers.column_profile_compilers.html" /><link rel="prev" title="Base Column Profilers" href="dataprofiler.profilers.base_column_profilers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Categorical Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.categorical_column_profile">
+<span id="categorical-column-profile"></span><h1>Categorical Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.categorical_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for categorical column profiler.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.categorical_column_profile.</span></span><span class="sig-name descname"><span class="pre">CategoricalColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">CategoricalOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">CategoricalColumn</span></code></a>]</p>
+<p>Categorical column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column int the dataset which is a categorical column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>name</strong> (<em>String</em>) – Name of data</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'category'</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.gini_impurity">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">gini_impurity</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.gini_impurity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Gini Impurity.</p>
+<p>Gini Impurity is a way to calculate
+likelihood of an incorrect classification of a new instance of
+a random variable.</p>
+<p>G = Σ(i=1; J): P(i) * (1 - P(i)), where i is the category classes.
+We are traversing through categories and calculating with the column</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None or Gini Impurity probability</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unalikeability">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">unalikeability</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unalikeability" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return Unlikeability.</p>
+<p>Unikeability checks for “how often observations differ from one another”
+Reference: Perry, M. and Kader, G. Variation as Unalikeability.
+Teaching Statistics, Vol. 27, No. 2 (2005), pp. 58-60.</p>
+<p>U = Σ(i=1,n)Σ(j=1,n): (Cij)/(n**2-n)
+Cij = 1 if i!=j, 0 if i=j</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>None or unlikeability probability</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><span class="pre">dataprofiler.profilers.categorical_column_profile.CategoricalColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for CategoricalColumns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><em>CategoricalColumn</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the CategoricalColumn differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<p>This is a private abstract method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<p>For categorical_count, it will display the top k categories most
+frequently occurred in descending order.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categories">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">categories</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categories" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return categories.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categorical_counts">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">categorical_counts</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categorical_counts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return counts of each category.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">unique_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return ratio of unique categories to sample_size.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_count">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">unique_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_count" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return ratio of unique categories to sample_size.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.is_match">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_match</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.is_match" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return true if column is categorical.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.categorical_column_profile.CategoricalColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn"><span class="pre">dataprofiler.profilers.categorical_column_profile.CategoricalColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – Data to profile.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated CategoricalColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.column_profile_compilers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Column Profile Compilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.base_column_profilers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Base Column Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.categorical_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.column_profile_compilers.html b/docs/0.10.3/html/dataprofiler.profilers.column_profile_compilers.html
new file mode 100644
index 000000000..b1ba51149
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.column_profile_compilers.html
@@ -0,0 +1,677 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Labeler Column Profile" href="dataprofiler.profilers.data_labeler_column_profile.html" /><link rel="prev" title="Categorical Column Profile" href="dataprofiler.profilers.categorical_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Column Profile Compilers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.column_profile_compilers">
+<span id="column-profile-compilers"></span><h1>Column Profile Compilers<a class="headerlink" href="#module-dataprofiler.profilers.column_profile_compilers" title="Permalink to this headline">¶</a></h1>
+<p>For generating a report.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">BaseCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompilerT</span></code>]</p>
+<p>Abstract class for generating a report.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.report">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompilerT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and returns the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><em>BaseCompiler</em></a>) – profile compiler finding the difference with this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.BaseCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">ColumnPrimitiveTypeProfileCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnPrimitiveTypeProfileCompiler</span></code></a>]</p>
+<p>For generating ordered column profile reports.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.selected_data_type">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">selected_data_type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.selected_data_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the selected data_type in a primitive compiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>name of the selected data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>str</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and returns the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler"><em>ColumnPrimitiveTypeProfileCompiler</em></a>) – profile compiler finding the difference with this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">ColumnStatsProfileCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnStatsProfileCompiler</span></code></a>]</p>
+<p>For generating OrderColumn and CategoricalColumn reports.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and returns the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler"><em>ColumnStatsProfileCompiler</em></a>) – profile compiler finding the difference with this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">ColumnDataLabelerCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">ColumnDataLabelerCompiler</span></code></a>]</p>
+<p>For generating DataLabelerColumn report.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler" title="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler"><em>ColumnDataLabelerCompiler</em></a>) – profile compiler finding the difference with this one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to change results of the difference</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.column_profile_compilers.</span></span><span class="sig-name descname"><span class="pre">UnstructuredCompiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">UnstructuredCompiler</span></code></a>]</p>
+<p>For generating TextProfiler and UnstructuredLabelerProfile reports.</p>
+<p>Initialize BaseCompiler object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attrs of class and potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler"><span class="pre">dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 compilers and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other</strong> (<a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler" title="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler"><em>UnstructuredCompiler</em></a>) – profile compiler finding the difference with this one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to impact the results of the diff</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Compiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Pool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler"><span class="pre">BaseCompiler</span></a> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profiles from the data frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column, assume df_series in str</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool to utilized for multiprocessing</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Self</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.column_profile_compilers.BaseCompiler" title="dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.data_labeler_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Labeler Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.categorical_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Categorical Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.column_profile_compilers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.data_labeler_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.data_labeler_column_profile.html
new file mode 100644
index 000000000..958e32589
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.data_labeler_column_profile.html
@@ -0,0 +1,446 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Datetime Column Profile" href="dataprofiler.profilers.datetime_column_profile.html" /><link rel="prev" title="Column Profile Compilers" href="dataprofiler.profilers.column_profile_compilers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Labeler Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.data_labeler_column_profile">
+<span id="data-labeler-column-profile"></span><h1>Data Labeler Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.data_labeler_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for for profiling data labeler col.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.</span></span><span class="sig-name descname"><span class="pre">DataLabelerColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DataLabelerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataLabelerColumn</span></code></a>]</p>
+<p>Sublass of BaseColumnProfiler for profiling data labeler col.</p>
+<p>Initialize Data Label profiling for structured datasets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – name of column being profiled</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – Options for the data labeler column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'data_labeler'</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.assert_equal_conditions">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">assert_equal_conditions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_labeler</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_labeler2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.assert_equal_conditions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Ensure data labelers have the same values. Raise error otherwise.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_labeler</strong> (<a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><em>DataLabelerColumn</em></a>) – first data_labeler</p></li>
+<li><p><strong>data_labeler2</strong> (<a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><em>DataLabelerColumn</em></a>) – second data_labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.reverse_label_mapping">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">reverse_label_mapping</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.reverse_label_mapping" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return reverse label mapping.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.possible_data_labels">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">possible_data_labels</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.possible_data_labels" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return possible data labels.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.rank_distribution">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">rank_distribution</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">int]</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.rank_distribution" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return rank distribution.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sum_predictions">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">sum_predictions</span></span><em class="property"><span class="pre">:</span> <span class="pre">numpy.ndarray</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sum_predictions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sum predictions.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.data_label">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_label</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.data_label" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data labels which best fit data it has seen based on DataLabeler used.</p>
+<p>Data labels must be within the minimum probability
+differential of the top predicted value. If nothing is more than
+minimum top label value, it says it could not determine the data label.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.avg_predictions">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">avg_predictions</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">float]</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.avg_predictions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Average all sample predictions for each data label.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.label_representation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_representation</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">float]</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.label_representation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Represent label found within the dataset based on ranked voting.</p>
+<p>When top_k=1, this is simply the distribution of data labels found
+within the dataset.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">DataLabelerColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">DataLabelerColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<p>Private abstract method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate differences between the orders of two DataLabeler columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dict containing the differences between orders in their</p>
+</dd>
+</dl>
+<p>appropriate output formats
+:rtype: dict</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn"><span class="pre">dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated DataLabelerColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn" title="dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">DataLabelerColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.datetime_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Datetime Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.column_profile_compilers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Column Profile Compilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.data_labeler_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.datetime_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.datetime_column_profile.html
new file mode 100644
index 000000000..18dd0783f
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.datetime_column_profile.html
@@ -0,0 +1,405 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Float Column Profile" href="dataprofiler.profilers.float_column_profile.html" /><link rel="prev" title="Data Labeler Column Profile" href="dataprofiler.profilers.data_labeler_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Datetime Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.datetime_column_profile">
+<span id="datetime-column-profile"></span><h1>Datetime Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.datetime_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Contains class for profiling datetime column.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.datetime_column_profile.</span></span><span class="sig-name descname"><span class="pre">DateTimeColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">DateTimeOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">DateTimeColumn</span></code></a>]</p>
+<p>Datetime column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column int the dataset which is a datetime column.</p>
+<p>Initialize it and the column base properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions" title="dataprofiler.profilers.profiler_options.DateTimeOptions"><em>DateTimeOptions</em></a>) – Options for the datetime column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'datetime'</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return report.</p>
+<p>Private abstract method.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn">DateTimeColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn"><span class="pre">dataprofiler.profilers.datetime_column_profile.DateTimeColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate differences between max, min, and formats of two DateTime cols.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dict containing the differences between max, min, and format in their</p>
+</dd>
+</dl>
+<p>appropriate output formats
+:rtype: dict</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn" title="dataprofiler.profilers.datetime_column_profile.DateTimeColumn"><span class="pre">dataprofiler.profilers.datetime_column_profile.DateTimeColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.datetime_column_profile.DateTimeColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.float_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Float Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.data_labeler_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Labeler Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.datetime_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.float_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.float_column_profile.html
new file mode 100644
index 000000000..4ea362806
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.float_column_profile.html
@@ -0,0 +1,546 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graph Profiler" href="dataprofiler.profilers.graph_profiler.html" /><link rel="prev" title="Datetime Column Profile" href="dataprofiler.profilers.datetime_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Float Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.float_column_profile">
+<span id="float-column-profile"></span><h1>Float Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.float_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Float profile analysis for individual col within structured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.float_column_profile.</span></span><span class="sig-name descname"><span class="pre">FloatColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">FloatOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">FloatColumn</span></code></a>], <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">FloatColumn</span></code></a>]</p>
+<p>Float column profile mixin with numerical stats.</p>
+<p>Represents a column in the dataset which is a float column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions" title="dataprofiler.profilers.profiler_options.FloatOptions"><em>FloatOptions</em></a>) – Options for the float column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'float'</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><span class="pre">dataprofiler.profilers.float_column_profile.FloatColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for FloatColumns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><em>FloatColumn</em></a>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the FloatColumn differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attribute of class; potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn">FloatColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.precision">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">precision</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None]</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.precision" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report statistics on the significant figures of each element in the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Precision statistics</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[float]</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn"><span class="pre">dataprofiler.profilers.float_column_profile.FloatColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated FloatColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.float_column_profile.FloatColumn" title="dataprofiler.profilers.float_column_profile.FloatColumn">FloatColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.float_column_profile.FloatColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.float_column_profile.FloatColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.graph_profiler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graph Profiler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.datetime_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Datetime Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.float_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.graph_profiler.html b/docs/0.10.3/html/dataprofiler.profilers.graph_profiler.html
new file mode 100644
index 000000000..4938eb759
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.graph_profiler.html
@@ -0,0 +1,382 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Histogram Utils" href="dataprofiler.profilers.histogram_utils.html" /><link rel="prev" title="Float Column Profile" href="dataprofiler.profilers.float_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graph Profiler - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.graph_profiler">
+<span id="graph-profiler"></span><h1>Graph Profiler<a class="headerlink" href="#module-dataprofiler.profilers.graph_profiler" title="Permalink to this headline">¶</a></h1>
+<p>Class and functions to calculate and profile properties of graph data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.graph_profiler.</span></span><span class="sig-name descname"><span class="pre">GraphProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">nx.Graph</span> <span class="p"><span class="pre">|</span></span> <span class="pre">GraphData</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">ProfilerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>GraphProfiler class.</p>
+<p>Creates a profile describing a graph dataset
+Statistical properties of graph</p>
+<p>Initialize Graph Profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>networkx.Graph</em><em>, </em><a class="reference internal" href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData" title="dataprofiler.data_readers.graph_data.GraphData"><em>data_readers.graph_data.GraphData</em></a><em>]</em>) – data</p></li>
+<li><p><strong>options</strong> (<em>GraphOptions</em>) – Options for the Graph Profiler</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.times" title="Permalink to this definition">¶</a></dt>
+<dd><p>Properties</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the graph.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the profile of the graph in data</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><span class="pre">dataprofiler.profilers.graph_profiler.GraphProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for two graph profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><em>GraphProfiler</em></a>) – profile to find the difference with</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for diff output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference between profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report on profile attribute of the class.</p>
+<p>Pop value from self.profile if key not in self.__calculations</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">networkx.classes.graph.Graph</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><span class="pre">dataprofiler.profilers.graph_profiler.GraphProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the graph profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>NetworkX Graph</em>) – networkx graph</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.graph_profiler.GraphProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler"><span class="pre">dataprofiler.profilers.graph_profiler.GraphProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.graph_profiler.GraphProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>GraphProfiler being loaded</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.graph_profiler.GraphProfiler" title="dataprofiler.profilers.graph_profiler.GraphProfiler">GraphProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.histogram_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Histogram Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.float_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Float Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.graph_profiler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.helpers.html b/docs/0.10.3/html/dataprofiler.profilers.helpers.html
new file mode 100644
index 000000000..6485d4978
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.helpers.html
@@ -0,0 +1,333 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Report Helpers" href="dataprofiler.profilers.helpers.report_helpers.html" /><link rel="prev" title="Profilers" href="dataprofiler.profilers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Helpers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current has-children current-page"><a class="current reference internal" href="#">Helpers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="helpers">
+<h1>Helpers<a class="headerlink" href="#helpers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.profilers.helpers"></span><p>This package provides helper functions for generating reports.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.helpers.calculate_quantiles">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.helpers.</span></span><span class="sig-name descname"><span class="pre">calculate_quantiles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_quantile_groups</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.helpers.calculate_quantiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate and return quantiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_quantile_groups</strong> (<em>int</em>) – number of quantile groups</p></li>
+<li><p><strong>quantiles</strong> (<em>dict</em><em>[</em><em>int</em><em>, </em><em>int</em><em>]</em>) – original quantiles</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>calculated quantiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict[int, int]</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.helpers.report_helpers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Report Helpers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.helpers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Helpers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.helpers.report_helpers.html b/docs/0.10.3/html/dataprofiler.profilers.helpers.report_helpers.html
new file mode 100644
index 000000000..f28e5fab9
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.helpers.report_helpers.html
@@ -0,0 +1,324 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Column Profilers" href="dataprofiler.profilers.base_column_profilers.html" /><link rel="prev" title="Helpers" href="dataprofiler.profilers.helpers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Report Helpers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l4 current current-page"><a class="current reference internal" href="#">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.helpers.report_helpers">
+<span id="report-helpers"></span><h1>Report Helpers<a class="headerlink" href="#module-dataprofiler.profilers.helpers.report_helpers" title="Permalink to this headline">¶</a></h1>
+<p>Contains helper functions for generating report.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.helpers.report_helpers.calculate_quantiles">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.helpers.report_helpers.</span></span><span class="sig-name descname"><span class="pre">calculate_quantiles</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_quantile_groups</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.helpers.report_helpers.calculate_quantiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate and return quantiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_quantile_groups</strong> (<em>int</em>) – number of quantile groups</p></li>
+<li><p><strong>quantiles</strong> (<em>dict</em><em>[</em><em>int</em><em>, </em><em>int</em><em>]</em>) – original quantiles</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>calculated quantiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict[int, int]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.helpers.report_helpers.flat_dict">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.helpers.report_helpers.</span></span><span class="sig-name descname"><span class="pre">flat_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">od</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separator</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'_'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">''</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.helpers.report_helpers.flat_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Flatten nested dictionary.</p>
+<p>Each level is collapsed and
+joined with the specified seperator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>od</strong> (<em>dict</em>) – dictionary or dictionary-like object</p></li>
+<li><p><strong>seperator</strong> (<em>str</em>) – character(s) joining successive levels</p></li>
+<li><p><strong>key</strong> (<em>str</em>) – concatenated keys</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>unnested dictionary</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.base_column_profilers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Column Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.helpers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Helpers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.helpers.report_helpers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.histogram_utils.html b/docs/0.10.3/html/dataprofiler.profilers.histogram_utils.html
new file mode 100644
index 000000000..605fb527f
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.histogram_utils.html
@@ -0,0 +1,287 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Int Column Profile" href="dataprofiler.profilers.int_column_profile.html" /><link rel="prev" title="Graph Profiler" href="dataprofiler.profilers.graph_profiler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Histogram Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.histogram_utils">
+<span id="histogram-utils"></span><h1>Histogram Utils<a class="headerlink" href="#module-dataprofiler.profilers.histogram_utils" title="Permalink to this headline">¶</a></h1>
+<p>Histogram-related functions.</p>
+<p>As noted below, this file contains modified versions of code from:
+<a class="reference external" href="https://github.com/numpy/numpy/tree/main">https://github.com/numpy/numpy/tree/main</a></p>
+<p>A copy of the license for numpy is available here:
+<a class="reference external" href="https://github.com/numpy/numpy/blob/main/LICENSE.txt">https://github.com/numpy/numpy/blob/main/LICENSE.txt</a></p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.int_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Int Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.graph_profiler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graph Profiler</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.histogram_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.html b/docs/0.10.3/html/dataprofiler.profilers.html
new file mode 100644
index 000000000..6b609fc77
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.html
@@ -0,0 +1,341 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Helpers" href="dataprofiler.profilers.helpers.html" /><link rel="prev" title="Text Data" href="dataprofiler.data_readers.text_data.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profilers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="profilers">
+<h1>Profilers<a class="headerlink" href="#profilers" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.profilers.helpers.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.profilers"></span><p>Package for providing statistics and predictions for a given dataset.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.helpers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Helpers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.data_readers.text_data.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Text Data</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Profilers</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.int_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.int_column_profile.html
new file mode 100644
index 000000000..5d85175fd
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.int_column_profile.html
@@ -0,0 +1,539 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="JSON Decoder" href="dataprofiler.profilers.json_decoder.html" /><link rel="prev" title="Histogram Utils" href="dataprofiler.profilers.histogram_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Int Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.int_column_profile">
+<span id="int-column-profile"></span><h1>Int Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.int_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Int profile analysis for individual col within structured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.int_column_profile.</span></span><span class="sig-name descname"><span class="pre">IntColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">IntOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">IntColumn</span></code></a>], <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">IntColumn</span></code></a>]</p>
+<p>Integer column profile mixin with of numerical stats.</p>
+<p>Represents a column in the dataset which is an integer column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions" title="dataprofiler.profilers.profiler_options.IntOptions"><em>IntOptions</em></a>) – Options for the integer column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'int'</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn">IntColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn"><span class="pre">dataprofiler.profilers.int_column_profile.IntColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated IntColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.int_column_profile.IntColumn" title="dataprofiler.profilers.int_column_profile.IntColumn">IntColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixinT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for several numerical stats.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<em>NumericStatsMixin Profile</em>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the numerical stats differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[float]</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.int_column_profile.IntColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.int_column_profile.IntColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.json_decoder.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">JSON Decoder</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.histogram_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Histogram Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.int_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.json_decoder.html b/docs/0.10.3/html/dataprofiler.profilers.json_decoder.html
new file mode 100644
index 000000000..3a0d7234c
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.json_decoder.html
@@ -0,0 +1,546 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="JSON Encoder" href="dataprofiler.profilers.json_encoder.html" /><link rel="prev" title="Int Column Profile" href="dataprofiler.profilers.int_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>JSON Decoder - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.json_decoder">
+<span id="json-decoder"></span><h1>JSON Decoder<a class="headerlink" href="#module-dataprofiler.profilers.json_decoder" title="Permalink to this headline">¶</a></h1>
+<p>Contains methods to decode components of a Profiler.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_column_profiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_column_profiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseColumnProfiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_column_profiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseColumnProfiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseColumnProfiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseColumnProfiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_compiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_compiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">col_pro_compiler.BaseCompiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_compiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseCompiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseCompiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseCompiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_option_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_option_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseOption</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_option_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseOptions.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseOptions subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseOptions object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_profiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_profiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">BaseProfiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_profiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>BaseProfiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of BaseProfiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>ValueError if the profiler class does not exist</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>subclass of BaseProfiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.get_structured_col_profiler_class">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">get_structured_col_profiler_class</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">class_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">type</span><span class="p"><span class="pre">[</span></span><span class="pre">StructuredColProfiler</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.get_structured_col_profiler_class" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use name of class to return default-constructed version of that class.</p>
+<dl class="simple">
+<dt>Raises ValueError if class_name is not name of a subclass of</dt><dd><p>StructuredColProfiler.</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>class_name</strong> (<em>str representing name of class</em>) – name of StructuredColProfiler subclass retrieved by
+calling type(instance).__name__</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of StructuredColProfiler object</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_column_profile">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_column_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_column_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseColumnProfiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of column profiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseColumnProfiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_compiler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_compiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">col_pro_compiler.BaseCompiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_compiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseCompiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of profile compiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseCompiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_option">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_option</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseOption</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_option" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseOption given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of option that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseOption that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_profiler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_profiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_profiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseProfiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of column profiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseProfiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_decoder.load_structured_col_profiler">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_decoder.</span></span><span class="sig-name descname"><span class="pre">load_structured_col_profiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">serialized_json</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">StructuredColProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.json_decoder.load_structured_col_profiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Construct subclass of BaseProfiler given a serialized JSON.</p>
+<dl>
+<dt>Expected format of serialized_json (see json_encoder):</dt><dd><dl>
+<dt>{</dt><dd><p>“class”: &lt;str name of class that was serialized&gt;
+“data”: {</p>
+<blockquote>
+<div><p>&lt;attr1&gt;: &lt;value1&gt;
+&lt;attr2&gt;: &lt;value2&gt;
+…</p>
+</div></blockquote>
+<p>}</p>
+</dd>
+</dl>
+<p>}</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>serialized_json</strong> (<em>a dict that was created by calling json.loads on
+a JSON representation using the custom encoder</em>) – JSON representation of column profiler that was
+serialized using the custom encoder in profilers.json_encoder</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>subclass of BaseCompiler that has been deserialized from
+JSON</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.json_encoder.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">JSON Encoder</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.int_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Int Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.json_decoder.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.json_encoder.html b/docs/0.10.3/html/dataprofiler.profilers.json_encoder.html
new file mode 100644
index 000000000..220a79372
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.json_encoder.html
@@ -0,0 +1,363 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Numerical Column Stats" href="dataprofiler.profilers.numerical_column_stats.html" /><link rel="prev" title="JSON Decoder" href="dataprofiler.profilers.json_decoder.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>JSON Encoder - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.json_encoder">
+<span id="json-encoder"></span><h1>JSON Encoder<a class="headerlink" href="#module-dataprofiler.profilers.json_encoder" title="Permalink to this headline">¶</a></h1>
+<p>Contains ProfilerEncoder class.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.json_encoder.</span></span><span class="sig-name descname"><span class="pre">ProfileEncoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">skipkeys</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ensure_ascii</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_circular</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allow_nan</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sort_keys</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indent</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separators</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">json.encoder.JSONEncoder</span></code></p>
+<p>JSONify profiler objects and it subclasses and contents.</p>
+<p>Constructor for JSONEncoder, with sensible defaults.</p>
+<p>If skipkeys is false, then it is a TypeError to attempt
+encoding of keys that are not str, int, float or None.  If
+skipkeys is True, such items are simply skipped.</p>
+<p>If ensure_ascii is true, the output is guaranteed to be str
+objects with all incoming non-ASCII characters escaped.  If
+ensure_ascii is false, the output can contain non-ASCII characters.</p>
+<p>If check_circular is true, then lists, dicts, and custom encoded
+objects will be checked for circular references during encoding to
+prevent an infinite recursion (which would cause an OverflowError).
+Otherwise, no such check takes place.</p>
+<p>If allow_nan is true, then NaN, Infinity, and -Infinity will be
+encoded as such.  This behavior is not JSON specification compliant,
+but is consistent with most JavaScript based encoders and decoders.
+Otherwise, it will be a ValueError to encode such floats.</p>
+<p>If sort_keys is true, then the output of dictionaries will be
+sorted by key; this is useful for regression tests to ensure
+that JSON serializations can be compared on a day-to-day basis.</p>
+<p>If indent is a non-negative integer, then JSON array
+elements and object members will be pretty-printed with that
+indent level.  An indent level of 0 will only insert newlines.
+None is the most compact representation.</p>
+<p>If specified, separators should be an (item_separator, key_separator)
+tuple.  The default is (’, ‘, ‘: ‘) if <em>indent</em> is <code class="docutils literal notranslate"><span class="pre">None</span></code> and
+(‘,’, ‘: ‘) otherwise.  To get the most compact JSON representation,
+you should specify (‘,’, ‘:’) to eliminate whitespace.</p>
+<p>If specified, default is a function that gets called for objects
+that can’t otherwise be serialized.  It should return a JSON encodable
+version of the object or raise a <code class="docutils literal notranslate"><span class="pre">TypeError</span></code>.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.default">
+<span class="sig-name descname"><span class="pre">default</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">to_serialize</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.default" title="Permalink to this definition">¶</a></dt>
+<dd><p>Specify how an object should be serialized.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>to_serialize</strong> (<em>a BaseColumnProfile object</em>) – an object to be serialized</p>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>NotImplementedError</p>
+</dd>
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>a datatype serializble by json.JSONEncoder</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.encode">
+<span class="sig-name descname"><span class="pre">encode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">o</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.encode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a JSON string representation of a Python data structure.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">json.encoder</span> <span class="kn">import</span> <span class="n">JSONEncoder</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">JSONEncoder</span><span class="p">()</span><span class="o">.</span><span class="n">encode</span><span class="p">({</span><span class="s2">"foo"</span><span class="p">:</span> <span class="p">[</span><span class="s2">"bar"</span><span class="p">,</span> <span class="s2">"baz"</span><span class="p">]})</span>
+<span class="go">'{"foo": ["bar", "baz"]}'</span>
+</pre></div>
+</div>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.item_separator">
+<span class="sig-name descname"><span class="pre">item_separator</span></span><em class="property"> <span class="pre">=</span> <span class="pre">',</span> <span class="pre">'</span></em><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.item_separator" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.iterencode">
+<span class="sig-name descname"><span class="pre">iterencode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">o</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">_one_shot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.iterencode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Encode the given object and yield each string
+representation as available.</p>
+<p>For example:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">JSONEncoder</span><span class="p">()</span><span class="o">.</span><span class="n">iterencode</span><span class="p">(</span><span class="n">bigobject</span><span class="p">):</span>
+    <span class="n">mysocket</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">chunk</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.json_encoder.ProfileEncoder.key_separator">
+<span class="sig-name descname"><span class="pre">key_separator</span></span><em class="property"> <span class="pre">=</span> <span class="pre">':</span> <span class="pre">'</span></em><a class="headerlink" href="#dataprofiler.profilers.json_encoder.ProfileEncoder.key_separator" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.numerical_column_stats.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Numerical Column Stats</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.json_decoder.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">JSON Decoder</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.json_encoder.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.numerical_column_stats.html b/docs/0.10.3/html/dataprofiler.profilers.numerical_column_stats.html
new file mode 100644
index 000000000..516b3f6f4
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.numerical_column_stats.html
@@ -0,0 +1,535 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Order Column Profile" href="dataprofiler.profilers.order_column_profile.html" /><link rel="prev" title="JSON Encoder" href="dataprofiler.profilers.json_encoder.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Numerical Column Stats - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.numerical_column_stats">
+<span id="numerical-column-stats"></span><h1>Numerical Column Stats<a class="headerlink" href="#module-dataprofiler.profilers.numerical_column_stats" title="Permalink to this headline">¶</a></h1>
+<p>Build model for dataset by identifying col type along with its respective params.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.abstractstaticmethod">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.numerical_column_stats.</span></span><span class="sig-name descname"><span class="pre">abstractstaticmethod</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">function</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Callable</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.abstractstaticmethod" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">staticmethod</span></code></p>
+<p>For making function an abstract method.</p>
+<p>Initialize abstract static method.</p>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.numerical_column_stats.</span></span><span class="sig-name descname"><span class="pre">NumericStatsMixin</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixinT</span></code>]</p>
+<p>Abstract numerical column profile subclass of BaseColumnProfiler.</p>
+<p>Represents column in the dataset which is a text column.
+Has Subclasses itself.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><em>NumericalOptions</em></a>) – Options for the numerical stats.</p>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.profile">
+<span class="sig-name descname"><span class="pre">profile</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Call the profile and remove the disabled columns from profile’s report.</p>
+<blockquote>
+<div><p>“Disabled column” is defined as a column
+that is not present in <cite>self.__calculations</cite> but is present
+in the <cite>self.profile</cite>.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> – true/false value to tell the code to remove
+values missing in __calculations</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profile object pop’d based on values missing from __calculations</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Profile</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixinT</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for several numerical stats.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<em>NumericStatsMixin Profile</em>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the numerical stats differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[float]</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseColumnProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.update">
+<em class="property"><span class="pre">abstract</span> </em><span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the numerical profile properties with an uncleaned dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series with nulls removed</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.order_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Order Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.json_encoder.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">JSON Encoder</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.numerical_column_stats.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.order_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.order_column_profile.html
new file mode 100644
index 000000000..2b7d2e106
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.order_column_profile.html
@@ -0,0 +1,401 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profile Builder" href="dataprofiler.profilers.profile_builder.html" /><link rel="prev" title="Numerical Column Stats" href="dataprofiler.profilers.numerical_column_stats.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Order Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.order_column_profile">
+<span id="order-column-profile"></span><h1>Order Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.order_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Index profile analysis for individual col within structured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.Comparable">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.order_column_profile.</span></span><span class="sig-name descname"><span class="pre">Comparable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.Comparable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Protocol</span></code></p>
+<p>Protocol for ensuring comparable types, in this case both floats or strings.</p>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.order_column_profile.</span></span><span class="sig-name descname"><span class="pre">OrderColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">OrderOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">OrderColumn</span></code></a>]</p>
+<p>Index column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column in the dataset which is an index column.</p>
+<p>Initialize column base properties and self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions" title="dataprofiler.profilers.profiler_options.OrderOptions"><em>OrderOptions</em></a>) – Options for the Order column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'order'</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Private abstract method for returning report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled
+options should be excluded in the report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – options for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn" title="dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Property for profile. Returns the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn"><span class="pre">dataprofiler.profilers.order_column_profile.OrderColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate the differences between the orders of two OrderColumns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>Dict containing the differences between orders in their</p>
+</dd>
+</dl>
+<p>appropriate output formats
+:rtype: dict</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn"><span class="pre">dataprofiler.profilers.order_column_profile.OrderColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated OrderColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.order_column_profile.OrderColumn" title="dataprofiler.profilers.order_column_profile.OrderColumn">OrderColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.order_column_profile.OrderColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.order_column_profile.OrderColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.profile_builder.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profile Builder</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.numerical_column_stats.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Numerical Column Stats</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.order_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.profile_builder.html b/docs/0.10.3/html/dataprofiler.profilers.profile_builder.html
new file mode 100644
index 000000000..5f1672b6f
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.profile_builder.html
@@ -0,0 +1,891 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profiler Options" href="dataprofiler.profilers.profiler_options.html" /><link rel="prev" title="Order Column Profile" href="dataprofiler.profilers.order_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profile Builder - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.profile_builder">
+<span id="profile-builder"></span><h1>Profile Builder<a class="headerlink" href="#module-dataprofiler.profilers.profile_builder" title="Permalink to this headline">¶</a></h1>
+<p>Build model for dataset by identifying col type along with its respective params.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">StructuredColProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">pandas.core.series.Series</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ids</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column_index</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><span class="pre">dataprofiler.profilers.profiler_options.StructuredOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For profiling structured data columns.</p>
+<p>Instantiate the StructuredColProfiler class for a given column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – Data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – Number of samples to use in generating profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>sample_ids</strong> (<em>list</em><em>(</em><em>list</em><em>)</em>) – Randomized list of sample indices</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool utilized for multiprocessing</p></li>
+<li><p><strong>column_index</strong> (<em>int</em>) – index of the given column</p></li>
+<li><p><strong>options</strong> (<em>StructuredOptions Object</em>) – Options for the structured profiler.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.update_column_profilers">
+<span class="sig-name descname"><span class="pre">update_column_profilers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">clean_sampled_df</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_column_profilers" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate type statistics and label dataset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>clean_sampled_df</strong> (<em>Pandas.Series</em>) – sampled series with none types dropped</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.pool</em>) – pool utilized for multiprocessing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler"><span class="pre">dataprofiler.profilers.profile_builder.StructuredColProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 StructuredCols and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler"><em>StructuredColProfiler</em></a>) – Structured col finding the difference with this
+one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to change results of the difference</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the structured column</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">collections.OrderedDict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler"><span class="pre">StructuredColProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading structured column profiler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler" title="dataprofiler.profilers.profile_builder.StructuredColProfiler">StructuredColProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a report.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ids</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">multiprocessing.pool.Pool</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – Data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – Number of samples to use in generating profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>sample_ids</strong> (<em>list</em><em>(</em><em>list</em><em>)</em>) – Randomized list of sample indices</p></li>
+<li><p><strong>pool</strong> (<em>multiprocessing.Pool</em>) – pool utilized for multiprocessing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredColProfiler.clean_data_and_get_base_stats">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">clean_data_and_get_base_stats</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">re.RegexFlag</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ids</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">pd.Series</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredColProfiler.clean_data_and_get_base_stats" title="Permalink to this definition">¶</a></dt>
+<dd><p>Identify null characters and return them in a dictionary.</p>
+<p>Remove any nulls in column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – a given column</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – Number of samples to use in generating the profile</p></li>
+<li><p><strong>null_values</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>Union</em><em>[</em><em>re.RegexFlag</em><em>, </em><em>int</em><em>]</em><em>]</em>) – Dictionary mapping null values to regex flag where
+the key represents the null value to remove from the data and the
+flag represents the regex flag to apply</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>sample_ids</strong> (<em>list</em><em>(</em><em>list</em><em>)</em>) – Randomized list of sample indices</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated column with null removed and dictionary of null
+parameters</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>pd.Series, dict</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">BaseProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Data</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">BaseOption</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Abstract class for profiling data.</p>
+<p>Instantiate the BaseProfiler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use in generating
+profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">dataprofiler.profilers.profile_builder.BaseProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference of two profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><em>BaseProfiler</em></a>) – profile being added to this one.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>diff of the two profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">BaseCompiler</span> <span class="pre">|</span> <span class="pre">list[StructuredColProfiler]</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the stored profiles for the given profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>BaseCompiler | list[StructuredColProfiler]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">report_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile report based on all profiled data fed into the profiler.</p>
+<dl>
+<dt>User can specify the output_formats: (pretty, compact, serializable, flat).</dt><dd><dl class="simple">
+<dt>Pretty: floats are rounded to four decimal places, and lists are</dt><dd><p>shortened.</p>
+</dd>
+<dt>Compact: Similar to pretty, but removes detailed statistics such as</dt><dd><p>runtimes, label probabilities, index locations of null types,
+etc.</p>
+</dd>
+</dl>
+<p>Serializable: Output is json serializable and not prettified
+Flat: Nested output is returned as a flattened dictionary</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>report_options</strong> – optional format changes to the report
+<cite>dict(output_format=&lt;FORMAT&gt;)</cite></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dictionary report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseProfilerT</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for overriding data params when loading from dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">data_readers.base_data.BaseData</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile for data provided.</p>
+<p>User can specify the sample size to profile the data with.
+Additionally, the user can specify the
+minimum number of non-null samples to profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><em>data_readers.base_data.BaseData</em></a><em>, </em><em>pandas.DataFrame</em><em>,
+</em><em>pandas.Series</em><em>]</em>) – data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – number of samples to profile from the data</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – minimum number of non-null samples to profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pickle'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p></li>
+<li><p><strong>save_method</strong> (<em>String</em>) – The desired saving method (must be “pickle” or “json”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.BaseProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.BaseProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = None</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">UnstructuredProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data" title="dataprofiler.data_readers.data.Data"><span class="pre">dataprofiler.data_readers.data.Data</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profile_builder.BaseProfiler</span></code></a></p>
+<p>For profiling unstructured data.</p>
+<p>Instantiate the UnstructuredProfiler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use in generating
+profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>UnstructuredProfiler</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler" title="dataprofiler.profilers.profile_builder.UnstructuredProfiler"><span class="pre">UnstructuredProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find difference between 2 unstuctured profiles and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler" title="dataprofiler.profilers.profile_builder.UnstructuredProfiler"><em>UnstructuredProfiler</em></a>) – profile finding the difference with this one.</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to impact the results of the diff</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dataprofiler.profilers.column_profile_compilers.BaseCompiler</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the stored profiles for the given profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>BaseCompiler</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">report_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return unstructured report based on all profiled data fed into profiler.</p>
+<dl>
+<dt>User can specify the output_formats: (pretty, compact, serializable, flat).</dt><dd><dl class="simple">
+<dt>Pretty: floats are rounded to four decimal places, and lists are</dt><dd><p>shortened.</p>
+</dd>
+<dt>Compact: Similar to pretty, but removes detailed statistics such as</dt><dd><p>runtimes, label probabilities, index locations of null types,
+etc.</p>
+</dd>
+</dl>
+<p>Serializable: Output is json serializable and not prettified
+Flat: Nested output is returned as a flattened dictionary</p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>report_options</strong> – optional format changes to the report
+<cite>dict(output_format=&lt;FORMAT&gt;)</cite></p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>dictionary report</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Raises</dt>
+<dd class="field-even"><p>NotImplementedError</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pickle'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p></li>
+<li><p><strong>save_method</strong> (<em>String</em>) – The desired saving method (“pickle” | “json”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = None</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.UnstructuredProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">data_readers.base_data.BaseData</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.UnstructuredProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile for data provided.</p>
+<p>User can specify the sample size to profile the data with.
+Additionally, the user can specify the
+minimum number of non-null samples to profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><em>data_readers.base_data.BaseData</em></a><em>, </em><em>pandas.DataFrame</em><em>,
+</em><em>pandas.Series</em><em>]</em>) – data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – number of samples to profile from the data</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – minimum number of non-null samples to profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">StructuredProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data" title="dataprofiler.data_readers.data.Data"><span class="pre">dataprofiler.data_readers.data.Data</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profile_builder.BaseProfiler</span></code></a></p>
+<p>For profiling structured data.</p>
+<p>Instantiate the StructuredProfiler class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use in generating
+profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Minimum number of samples required for the
+profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>StructuredProfiler</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler"><span class="pre">StructuredProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between 2 Profiles and return the report.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler"><em>StructuredProfiler</em></a>) – profile finding the difference with this one</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options to change results of the difference</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference of the profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[StructuredColProfiler]</span></em><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the stored profiles for the given profiler.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>list[StructuredColProfiler]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">report_options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a report.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler"><span class="pre">StructuredProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.StructuredProfiler" title="dataprofiler.profilers.profile_builder.StructuredProfiler">StructuredProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.save">
+<span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'pickle'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.save" title="Permalink to this definition">¶</a></dt>
+<dd><p>Save profiler to disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to save to</p></li>
+<li><p><strong>save_method</strong> (<em>String</em>) – The desired saving method (must be “pickle” or “json”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = None</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.StructuredProfiler.update_profile">
+<span class="sig-name descname"><span class="pre">update_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">data_readers.base_data.BaseData</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">pd.Series</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.StructuredProfiler.update_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the profile for data provided.</p>
+<p>User can specify the sample size to profile the data with.
+Additionally, the user can specify the
+minimum number of non-null samples to profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><a class="reference internal" href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData" title="dataprofiler.data_readers.base_data.BaseData"><em>data_readers.base_data.BaseData</em></a><em>, </em><em>pandas.DataFrame</em><em>,
+</em><em>pandas.Series</em><em>]</em>) – data to be profiled</p></li>
+<li><p><strong>sample_size</strong> (<em>int</em>) – number of samples to profile from the data</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – minimum number of non-null samples to profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.Profiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profile_builder.</span></span><span class="sig-name descname"><span class="pre">Profiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">samples_per_update</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_true_samples</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">ProfilerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">profiler_type</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.Profiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For profiling data.</p>
+<p>Instantiate Structured and Unstructured Profilers.</p>
+<p>This is a factory class.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Data class object</em>) – Data to be profiled, type allowed depends on the
+profiler_type</p></li>
+<li><p><strong>samples_per_update</strong> (<em>int</em>) – Number of samples to use to generate profile</p></li>
+<li><p><strong>min_true_samples</strong> (<em>int</em>) – Min number of samples required for the profiler</p></li>
+<li><p><strong>options</strong> (<em>ProfilerOptions Object</em>) – Options for the profiler.</p></li>
+<li><p><strong>profiler_type</strong> (<em>str</em>) – Type of Profiler (“graph”/”structured”/”unstructured”)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Union[GraphProfiler, StructuredProfiler, UnstructuredProfiler]</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profile_builder.Profiler.load">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filepath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">load_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler"><span class="pre">BaseProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profile_builder.Profiler.load" title="Permalink to this definition">¶</a></dt>
+<dd><p>Load profiler from disk.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>filepath</strong> (<em>String</em>) – Path of file to load from</p></li>
+<li><p><strong>load_method</strong> (<em>Optional</em><em>[</em><em>String</em><em>]</em>) – The desired loading method, default = “None”</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler being loaded, StructuredProfiler or
+UnstructuredProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profile_builder.BaseProfiler" title="dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.profiler_options.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profiler Options</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.order_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Order Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.profile_builder.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.profiler_options.html b/docs/0.10.3/html/dataprofiler.profilers.profiler_options.html
new file mode 100644
index 000000000..e0c93d723
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.profiler_options.html
@@ -0,0 +1,2395 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Profiler Utils" href="dataprofiler.profilers.profiler_utils.html" /><link rel="prev" title="Profile Builder" href="dataprofiler.profilers.profile_builder.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profiler Options - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.profiler_options">
+<span id="profiler-options"></span><h1>Profiler Options<a class="headerlink" href="#module-dataprofiler.profilers.profiler_options" title="Permalink to this headline">¶</a></h1>
+<p>Specify the options when running the data profiler.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">BaseOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwds</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Generic</span></code>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOptionT</span></code>]</p>
+<p>For configuring options.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">BooleanOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOptionT</span></code>]</p>
+<p>For setting Boolean options.</p>
+<p>Initialize Boolean option.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BooleanOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BooleanOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">HistogramAndQuantilesOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bin_count_or_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_quantiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1000</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption" title="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">HistogramAndQuantilesOption</span></code></a>]</p>
+<p>For setting histogram options.</p>
+<p>Initialize Options for histograms.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p></li>
+<li><p><strong>bin_count_or_method</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>int</em><em>, </em><em>list</em><em>(</em><em>str</em><em>)</em><em>]</em>) – bin count or the method with which to
+calculate histograms</p></li>
+<li><p><strong>num_quantiles</strong> (<em>int</em>) – number of quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">ModeOption</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_k_modes</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">ModeOption</span></code></a>]</p>
+<p>For setting mode estimation options.</p>
+<p>Initialize Options for mode estimation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p></li>
+<li><p><strong>max_k_modes</strong> (<em>int</em>) – the max number of modes to return, if applicable</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ModeOption.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ModeOption.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">BaseInspectorOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptionsT</span></code>]</p>
+<p>For setting Base options.</p>
+<p>Initialize Base options for all the columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.BaseInspectorOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">NumericalOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<code class="xref py py-obj docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptionsT</span></code>]</p>
+<p>For configuring options for Numerican Stats Mixin.</p>
+<p>Initialize Options for the Numerical Stats Mixin.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+<li><p><strong>histogram_and_quantiles</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable
+histogram_and_quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar num_zeros: boolean option to enable/disable num_zeros
+:vartype num_zeros: BooleanOption
+:ivar num_negatives: boolean option to enable/disable num_negatives
+:vartype num_negatives: BooleanOption
+:ivar is_numeric_stats_enabled: boolean to enable/disable all numeric</p>
+<blockquote>
+<div><p>stats</p>
+</div></blockquote>
+<dl class="field-list simple">
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True,
+otherwise it will return False.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.NumericalOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.NumericalOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">IntOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.IntOptions" title="dataprofiler.profilers.profiler_options.IntOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">IntOptions</span></code></a>]</p>
+<p>For configuring options for Int Column.</p>
+<p>Initialize Options for the Int Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+<li><p><strong>histogram_and_quantiles</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable
+histogram_and_quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar num_zeros: boolean option to enable/disable num_zeros
+:vartype num_zeros: BooleanOption
+:ivar num_negatives: boolean option to enable/disable num_negatives
+:vartype num_negatives: BooleanOption
+:ivar is_numeric_stats_enabled: boolean to enable/disable all numeric</p>
+<blockquote>
+<div><p>stats</p>
+</div></blockquote>
+<dl class="field-list simple">
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True,
+otherwise it will return False.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.IntOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.IntOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">PrecisionOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.PrecisionOptions" title="dataprofiler.profilers.profiler_options.PrecisionOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">PrecisionOptions</span></code></a>]</p>
+<p>For configuring options for precision.</p>
+<p>Initialize Options for precision.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>sample_ratio</strong> (<em>float</em>) – float option to determine ratio of valid
+float samples in determining percision.
+This ratio will override any defaults.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.PrecisionOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.PrecisionOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">FloatOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.FloatOptions" title="dataprofiler.profilers.profiler_options.FloatOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">FloatOptions</span></code></a>]</p>
+<p>For configuring options for Float Column.</p>
+<p>Initialize Options for the Float Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+<li><p><strong>histogram_and_quantiles</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable
+histogram_and_quantiles</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar num_zeros: boolean option to enable/disable num_zeros
+:vartype num_zeros: BooleanOption
+:ivar num_negatives: boolean option to enable/disable num_negatives
+:vartype num_negatives: BooleanOption
+:ivar is_numeric_stats_enabled: boolean to enable/disable all numeric</p>
+<blockquote>
+<div><p>stats</p>
+</div></blockquote>
+<dl class="field-list simple">
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True,
+otherwise it will return False.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.FloatOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.FloatOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">TextOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.NumericalOptions" title="dataprofiler.profilers.profiler_options.NumericalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.NumericalOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextOptions" title="dataprofiler.profilers.profiler_options.TextOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextOptions</span></code></a>]</p>
+<p>For configuring options for Text Column.</p>
+<p>Initialize Options for the Text Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>vocab</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable vocab</p></li>
+<li><p><strong>min</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable min</p></li>
+<li><p><strong>max</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable max</p></li>
+<li><p><strong>mode</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ModeOption" title="dataprofiler.profilers.profiler_options.ModeOption"><em>ModeOption</em></a>) – option to enable/disable mode and set return count</p></li>
+<li><p><strong>median</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option to enable/disable median</p></li>
+<li><p><strong>sum</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable sum</p></li>
+<li><p><strong>variance</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable variance</p></li>
+<li><p><strong>skewness</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable skewness</p></li>
+<li><p><strong>kurtosis</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable kurtosis</p></li>
+</ul>
+</dd>
+</dl>
+<p>:ivar bias_correction : boolean option to enable/disable existence of bias
+:vartype bias_correction: BooleanOption
+:ivar histogram_and_quantiles: boolean option to enable/disable</p>
+<blockquote>
+<div><p>histogram_and_quantiles</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_zeros</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable num_zeros</p></li>
+<li><p><strong>num_negatives</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – boolean option to enable/disable num_negatives</p></li>
+<li><p><strong>is_numeric_stats_enabled</strong> (<em>bool</em>) – boolean to enable/disable all numeric
+stats</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.is_numeric_stats_enabled">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">is_numeric_stats_enabled</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.is_numeric_stats_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the state of numeric stats being enabled / disabled.</p>
+<p>If any numeric stats property is enabled it will return True, otherwise
+it will return False. Although it seems redundant, this method is needed
+in order for the function below, the setter function
+also called is_numeric_stats_enabled, to properly work.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>true if any numeric stats property is enabled, otherwise false</p>
+</dd>
+<dt class="field-even">Rtype bool</dt>
+<dd class="field-even"><p></p></dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Include is_enabled.</p>
+<p>is_enabled: Turns on or off the column.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">DateTimeOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DateTimeOptions" title="dataprofiler.profilers.profiler_options.DateTimeOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">DateTimeOptions</span></code></a>]</p>
+<p>For configuring options for Datetime Column.</p>
+<p>Initialize Options for the Datetime Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DateTimeOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DateTimeOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">OrderOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.OrderOptions" title="dataprofiler.profilers.profiler_options.OrderOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">OrderOptions</span></code></a>]</p>
+<p>For configuring options for Order Column.</p>
+<p>Initialize options for the Order Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.OrderOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.OrderOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">CategoricalOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k_categories</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_sample_size_to_check_stop_condition</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop_condition_unique_value_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms_confidence</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms_relative_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cms_max_num_heavy_hitters</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5000</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CategoricalOptions" title="dataprofiler.profilers.profiler_options.CategoricalOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">CategoricalOptions</span></code></a>]</p>
+<p>For configuring options Categorical Column.</p>
+<p>Initialize options for the Categorical Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>top_k_categories</strong> (<em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – number of categories to be displayed when called</p></li>
+<li><p><strong>max_sample_size_to_check_stop_condition</strong> (<em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – The maximum sample size
+before categorical stop conditions are checked</p></li>
+<li><p><strong>stop_condition_unique_value_ratio</strong> (<em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – The highest ratio of unique
+values to dataset size that is to be considered a categorical type</p></li>
+<li><p><strong>cms</strong> (<em>bool</em>) – boolean option for using count min sketch</p></li>
+<li><p><strong>cms_confidence</strong> (<em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – defines the number of hashes used in CMS.
+eg. confidence = 1 - failure probability, default 0.95</p></li>
+<li><p><strong>cms_relative_error</strong> (<em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – defines the number of buckets used in CMS,
+default 0.01</p></li>
+<li><p><strong>cms_max_num_heavy_hitters</strong> – value used to define</p></li>
+</ul>
+</dd>
+</dl>
+<p>the threshold for minimum frequency required by a category to be counted
+:vartype cms_max_num_heavy_hitters: [None, int]</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CategoricalOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CategoricalOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">CorrelationOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">columns</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CorrelationOptions" title="dataprofiler.profilers.profiler_options.CorrelationOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">CorrelationOptions</span></code></a>]</p>
+<p>For configuring options for Correlation between Columns.</p>
+<p>Initialize options for the Correlation between Columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>columns</strong> (<em>list</em><em>(</em><em>)</em>) – Columns considered to calculate correlation</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.CorrelationOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.CorrelationOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">HyperLogLogOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">register_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">15</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions" title="dataprofiler.profilers.profiler_options.HyperLogLogOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">HyperLogLogOptions</span></code></a>]</p>
+<p>Options for alternative method of gathering unique row count.</p>
+<p>Initialize options for the hyperloglog method of gathering unique row count.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>seed</strong> (<em>int</em>) – seed used to set HLL hashing function</p></li>
+<li><p><strong>register_count</strong> (<em>int</em>) – number of registers is equal to 2^register_count</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.HyperLogLogOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.HyperLogLogOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">UniqueCountOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hashing_method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions" title="dataprofiler.profilers.profiler_options.UniqueCountOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">UniqueCountOptions</span></code></a>]</p>
+<p>For configuring options for unique row count.</p>
+<p>Initialize options for unique row counts.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>hashing_method</strong> (<em>str</em>) – property to specify row hashing method (“full” | “hll”)</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UniqueCountOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UniqueCountOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">RowStatisticsOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unique_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">null_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BooleanOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions" title="dataprofiler.profilers.profiler_options.RowStatisticsOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">RowStatisticsOptions</span></code></a>]</p>
+<p>For configuring options for row statistics.</p>
+<p>Initialize options for row statistics.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable.</p></li>
+<li><p><strong>unique_count</strong> (<em>bool</em>) – boolean option to enable/disable unique_count</p></li>
+</ul>
+</dd>
+</dl>
+<p>ivar null_count: boolean option to enable/disable null_count
+:vartype null_count: bool</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.RowStatisticsOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.RowStatisticsOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">DataLabelerOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataLabelerOptions</span></code></a>]</p>
+<p>For configuring options for Data Labeler Column.</p>
+<p>Initialize options for the Data Labeler Column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the column.</p></li>
+<li><p><strong>data_labeler_dirpath</strong> (<em>str</em>) – String to load data labeler</p></li>
+<li><p><strong>max_sample_size</strong> (<a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler" title="dataprofiler.labelers.base_data_labeler.BaseDataLabeler"><em>BaseDataLabeler</em></a>) – Int to decide sample size</p></li>
+<li><p><strong>data_labeler_object</strong> – DataLabeler object used in profiler</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><span class="pre">DataLabelerOptions</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions">DataLabelerOptions</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.DataLabelerOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">TextProfilerOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">is_enabled</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_case_sensitive</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stop_words</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">set</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k_chars</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_k_words</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseInspectorOptions" title="dataprofiler.profilers.profiler_options.BaseInspectorOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseInspectorOptions</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="dataprofiler.profilers.profiler_options.TextProfilerOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextProfilerOptions</span></code></a>]</p>
+<p>For configuring options for text profiler.</p>
+<p>Construct the TextProfilerOption object with default values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>is_enabled</strong> (<em>bool</em>) – boolean option to enable/disable the option.</p></li>
+<li><p><strong>is_case_sensitive</strong> (<em>bool</em>) – option set for case sensitivity.</p></li>
+<li><p><strong>stop_words</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>list</em><em>(</em><em>str</em><em>)</em><em>]</em>) – option set for stop words.</p></li>
+<li><p><strong>top_k_chars</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – option set for number of top common characters.</p></li>
+<li><p><strong>top_k_words</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>int</em><em>]</em>) – option set for number of top common words.</p></li>
+<li><p><strong>words</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option set for word update.</p></li>
+<li><p><strong>vocab</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a>) – option set for vocab update.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.is_prop_enabled">
+<span class="sig-name descname"><span class="pre">is_prop_enabled</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">prop</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.is_prop_enabled" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see if a property is enabled or not and returns boolean.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>prop</strong> (<em>String</em>) – The option to check if it is enabled</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Whether or not the property is enabled</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Boolean</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.TextProfilerOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">StructuredOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">null_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">re.RegexFlag</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">column_null_values</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">re.RegexFlag</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sampling_ratio</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">float</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">0.2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">StructuredOptions</span></code></a>]</p>
+<p>For configuring options for structured profiler.</p>
+<p>Construct the StructuredOptions object with default values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>null_values</strong> – null values we input.</p></li>
+<li><p><strong>column_null_values</strong> – column level null values we input.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Variables</dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>int</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.IntOptions" title="dataprofiler.profilers.profiler_options.IntOptions"><em>IntOptions</em></a>) – option set for int profiling.</p></li>
+<li><p><strong>float</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.FloatOptions" title="dataprofiler.profilers.profiler_options.FloatOptions"><em>FloatOptions</em></a>) – option set for float profiling.</p></li>
+<li><p><strong>datetime</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DateTimeOptions" title="dataprofiler.profilers.profiler_options.DateTimeOptions"><em>DateTimeOptions</em></a>) – option set for datetime profiling.</p></li>
+<li><p><strong>text</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextOptions" title="dataprofiler.profilers.profiler_options.TextOptions"><em>TextOptions</em></a>) – option set for text profiling.</p></li>
+<li><p><strong>order</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.OrderOptions" title="dataprofiler.profilers.profiler_options.OrderOptions"><em>OrderOptions</em></a>) – option set for order profiling.</p></li>
+<li><p><strong>category</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CategoricalOptions" title="dataprofiler.profilers.profiler_options.CategoricalOptions"><em>CategoricalOptions</em></a>) – option set for category profiling.</p></li>
+<li><p><strong>data_labeler</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – option set for data_labeler profiling.</p></li>
+<li><p><strong>correlation</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.CorrelationOptions" title="dataprofiler.profilers.profiler_options.CorrelationOptions"><em>CorrelationOptions</em></a>) – option set for correlation profiling.</p></li>
+<li><p><strong>chi2_homogeneity</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a><em>(</em><em>)</em>) – option set for chi2_homogeneity matrix</p></li>
+<li><p><strong>row_statistics</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.BooleanOption" title="dataprofiler.profilers.profiler_options.BooleanOption"><em>BooleanOption</em></a><em>(</em><em>)</em>) – option set for row statistics calculations</p></li>
+<li><p><strong>null_replication_metrics</strong> (<em>BooleanOptions</em>) – option set for metrics
+calculation for replicating nan vals</p></li>
+<li><p><strong>null_values</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>dict</em><em>]</em>) – option set for defined null values</p></li>
+<li><p><strong>sampling_ratio</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><em>float</em><em>]</em>) – What ratio of the input data to sample.
+Float value &gt; 0 and &lt;= 1</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.enabled_profiles">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">enabled_profiles</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.enabled_profiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a list of the enabled profilers for columns.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.StructuredOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.StructuredOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">UnstructuredOptions</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions" title="dataprofiler.profilers.profiler_options.UnstructuredOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">UnstructuredOptions</span></code></a>]</p>
+<p>For configuring options for unstructured profiler.</p>
+<p>Construct the UnstructuredOptions object with default values.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>text</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="dataprofiler.profilers.profiler_options.TextProfilerOptions"><em>TextProfilerOptions</em></a>) – option set for text profiling.</p></li>
+<li><p><strong>data_labeler</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – option set for data_labeler profiling.</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.enabled_profiles">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">enabled_profiles</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.enabled_profiles" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a list of the enabled profilers.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">bool</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Set all the options.</p>
+<p>Send in a dict that contains all of or a subset of
+the appropriate options. Set the values of the options. Will raise error
+if the formatting is improper.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – dict containing the options you want to set.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.UnstructuredOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_options.</span></span><span class="sig-name descname"><span class="pre">ProfilerOptions</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">presets</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.profiler_options.BaseOption</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.profiler_options.ProfilerOptions" title="dataprofiler.profilers.profiler_options.ProfilerOptions"><code class="xref py py-class docutils literal notranslate"><span class="pre">ProfilerOptions</span></code></a>]</p>
+<p>For configuring options for profiler.</p>
+<p>Initialize the ProfilerOptions object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Variables</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>structured_options</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.StructuredOptions" title="dataprofiler.profilers.profiler_options.StructuredOptions"><em>StructuredOptions</em></a>) – option set for structured dataset profiling.</p></li>
+<li><p><strong>unstructured_options</strong> (<a class="reference internal" href="#dataprofiler.profilers.profiler_options.UnstructuredOptions" title="dataprofiler.profilers.profiler_options.UnstructuredOptions"><em>UnstructuredOptions</em></a>) – option set for unstructured dataset profiling.</p></li>
+<li><p><strong>presets</strong> (<em>Optional</em><em>[</em><em>str</em><em>]</em>) – A pre-configured mapping of a string name to group of options:
+“complete”, “data_types”, “numeric_stats_disabled”,
+and “lower_memory_sketching”. Default: None</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption"><span class="pre">BaseOption</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config to override loading options params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Options with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.profiler_options.BaseOption" title="dataprofiler.profilers.profiler_options.BaseOption">BaseOption</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.properties">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">properties</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict[str,</span> <span class="pre">BooleanOption]</span></em><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.properties" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of the option properties.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>dictionary of the option’s properties attr: value</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raise_error</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate the options do not conflict and cause errors.</p>
+<p>Raises error/warning if so.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>raise_error</strong> (<em>bool</em>) – Flag that raises errors if true. Returns errors if
+false.</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of errors (if raise_error is false)</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(str)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_options.ProfilerOptions.set">
+<span class="sig-name descname"><span class="pre">set</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_options.ProfilerOptions.set" title="Permalink to this definition">¶</a></dt>
+<dd><p>Overwrite BaseOption.set.</p>
+<p>We do this because the type (unstructured/structured) may
+need to be specified if the same options exist within both
+self.structured_options and self.unstructured_options</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>options</strong> (<em>dict</em>) – Dictionary of options to set</p>
+</dd>
+<dt class="field-even">Return</dt>
+<dd class="field-even"><p>None</p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.profiler_utils.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Profiler Utils</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.profile_builder.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profile Builder</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.profiler_options.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.profiler_utils.html b/docs/0.10.3/html/dataprofiler.profilers.profiler_utils.html
new file mode 100644
index 000000000..393770d56
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.profiler_utils.html
@@ -0,0 +1,824 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Text Column Profile" href="dataprofiler.profilers.text_column_profile.html" /><link rel="prev" title="Profiler Options" href="dataprofiler.profilers.profiler_options.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profiler Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.profiler_utils">
+<span id="profiler-utils"></span><h1>Profiler Utils<a class="headerlink" href="#module-dataprofiler.profilers.profiler_utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for profilers.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.recursive_dict_update">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">recursive_dict_update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">d</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">update_d</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.recursive_dict_update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Recursive updates nested dictionaries. Updating d with update_d.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>d</strong> – dict which gets updated with update_d</p></li>
+<li><p><strong>update_d</strong> – dict to update d with</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">KeyDict</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">collections.defaultdict</span></code></p>
+<p>Helper class for sample_in_chunks.</p>
+<p>Allows keys that are missing to become the values for that key.
+From:
+<a class="reference external" href="https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/">https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/</a></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.clear">
+<span class="sig-name descname"><span class="pre">clear</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None.</span>  <span class="pre">Remove</span> <span class="pre">all</span> <span class="pre">items</span> <span class="pre">from</span> <span class="pre">D.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.clear" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.copy">
+<span class="sig-name descname"><span class="pre">copy</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">shallow</span> <span class="pre">copy</span> <span class="pre">of</span> <span class="pre">D.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.copy" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.default_factory">
+<span class="sig-name descname"><span class="pre">default_factory</span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.default_factory" title="Permalink to this definition">¶</a></dt>
+<dd><p>Factory for default value called by __missing__().</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.fromkeys">
+<span class="sig-name descname"><span class="pre">fromkeys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.fromkeys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create a new dictionary with keys from iterable and values set to value.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.get">
+<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.get" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.items">
+<span class="sig-name descname"><span class="pre">items</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D’s</span> <span class="pre">items</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.items" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.keys">
+<span class="sig-name descname"><span class="pre">keys</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">a</span> <span class="pre">set-like</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D’s</span> <span class="pre">keys</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.keys" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.pop">
+<span class="sig-name descname"><span class="pre">pop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">k</span></em><span class="optional">[</span>, <em class="sig-param"><span class="pre">d</span></em><span class="optional">]</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">v,</span> <span class="pre">remove</span> <span class="pre">specified</span> <span class="pre">key</span> <span class="pre">and</span> <span class="pre">return</span> <span class="pre">the</span> <span class="pre">corresponding</span> <span class="pre">value.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.pop" title="Permalink to this definition">¶</a></dt>
+<dd><p>If key is not found, d is returned if given, otherwise KeyError is raised</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.popitem">
+<span class="sig-name descname"><span class="pre">popitem</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.popitem" title="Permalink to this definition">¶</a></dt>
+<dd><p>Remove and return a (key, value) pair as a 2-tuple.</p>
+<p>Pairs are returned in LIFO (last-in, first-out) order.
+Raises KeyError if the dict is empty.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.setdefault">
+<span class="sig-name descname"><span class="pre">setdefault</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">default</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">/</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.setdefault" title="Permalink to this definition">¶</a></dt>
+<dd><p>Insert key with a value of default if key is not in the dictionary.</p>
+<p>Return the value for key if key is in the dictionary, else default.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><span class="optional">[</span><em class="sig-param"><span class="pre">E</span></em>, <span class="optional">]</span><em class="sig-param"><span class="pre">**F</span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None.</span>  <span class="pre">Update</span> <span class="pre">D</span> <span class="pre">from</span> <span class="pre">dict/iterable</span> <span class="pre">E</span> <span class="pre">and</span> <span class="pre">F.</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
+If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
+In either case, this is followed by: for k in F:  D[k] = F[k]</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.KeyDict.values">
+<span class="sig-name descname"><span class="pre">values</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">an</span> <span class="pre">object</span> <span class="pre">providing</span> <span class="pre">a</span> <span class="pre">view</span> <span class="pre">on</span> <span class="pre">D’s</span> <span class="pre">values</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.KeyDict.values" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.shuffle_in_chunks">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">shuffle_in_chunks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_length</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.shuffle_in_chunks" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create shuffled indexes in chunks.</p>
+<p>This reduces the cost of having to create all indexes,
+but only of that what is needed.
+Initial Code idea from:
+<a class="reference external" href="https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/">https://www.drmaciver.com/2018/01/lazy-fisher-yates-shuffling-for-precise-rejection-sampling/</a></p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_length</strong> – length of data to be shuffled</p></li>
+<li><p><strong>chunk_size</strong> – size of shuffled chunks</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>list of shuffled indices of chunk size</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.warn_on_profile">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">warn_on_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">col_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">e</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Exception</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.warn_on_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a warning if a given profile errors (tensorflow typically).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>col_profile</strong> (<em>str</em>) – Name of the column profile</p></li>
+<li><p><strong>e</strong> (<em>Exception</em>) – Error message from profiler error</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.partition">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">partition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Generator</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">,</span> </span><span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.partition" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create a generator which returns data in specified chunk size.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>list</em><em>, </em><em>dataframe</em><em>, </em><em>etc</em>) – list, dataframe, etc</p></li>
+<li><p><strong>chunk_size</strong> (<em>int</em>) – size of partition to return</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.auto_multiprocess_toggle">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">auto_multiprocess_toggle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.frame.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rows_threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">750000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_cols_threshold</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.auto_multiprocess_toggle" title="Permalink to this definition">¶</a></dt>
+<dd><p>Automate multiprocessing toggle depending on dataset sizes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>pandas.DataFrame</em>) – a dataset</p></li>
+<li><p><strong>num_rows_threshold</strong> (<em>int</em>) – threshold for number of rows to
+use multiprocess</p></li>
+<li><p><strong>num_cols_threshold</strong> (<em>int</em>) – threshold for number of columns
+to use multiprocess</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>recommended option.multiprocess.is_enabled value</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.suggest_pool_size">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">suggest_pool_size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.suggest_pool_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Suggest the pool size based on resources.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_size</strong> (<em>int</em>) – size of the dataset</p></li>
+<li><p><strong>cols</strong> (<em>int</em>) – columns of the dataset</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return suggested_pool_size</dt>
+<dd class="field-even"><p>suggested pool size</p>
+</dd>
+<dt class="field-odd">Rtype suggested_pool_size</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.generate_pool">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">generate_pool</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_pool_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cols</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Pool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.generate_pool" title="Permalink to this definition">¶</a></dt>
+<dd><p>Generate a multiprocessing pool to allocate functions too.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>max_pool_size</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>None</em><em>]</em>) – Max number of processes assigned to the pool</p></li>
+<li><p><strong>data_size</strong> (<em>int</em>) – size of the dataset</p></li>
+<li><p><strong>cols</strong> (<em>int</em>) – columns of the dataset</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return pool</dt>
+<dd class="field-even"><p>Multiprocessing pool to allocate processes to</p>
+</dd>
+<dt class="field-odd">Rtype pool</dt>
+<dd class="field-odd"><p>Multiproessing.Pool</p>
+</dd>
+<dt class="field-even">Return cpu_count</dt>
+<dd class="field-even"><p>Number of processes (cpu bound) to utilize</p>
+</dd>
+<dt class="field-odd">Rtype cpu_count</dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.overlap">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">overlap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.overlap" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True iff [x1:x2] overlaps with [y1:y2].</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.add_nested_dictionaries">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">add_nested_dictionaries</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">first_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">second_dict</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.add_nested_dictionaries" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merge two dictionaries together and add values together.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>first_dict</strong> (<em>dict</em>) – dictionary to be merged</p></li>
+<li><p><strong>second_dict</strong> (<em>dict</em>) – dictionary to be merged</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>merged dictionary</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.biased_skew">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">biased_skew</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">numpy.float64</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.biased_skew" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the biased estimator for skewness of the given data.</p>
+<dl class="simple">
+<dt>The definition is formalized as g_1 here:</dt><dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/Skewness#Sample_skewness">https://en.wikipedia.org/wiki/Skewness#Sample_skewness</a></p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas Series</em>) – data to get skewness of, assuming floats</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>biased skewness</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>np.float64</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.biased_kurt">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">biased_kurt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">numpy.float64</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.biased_kurt" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the biased estimator for kurtosis of the given data.</p>
+<dl class="simple">
+<dt>The definition is formalized as g_2 here:</dt><dd><p><a class="reference external" href="https://en.wikipedia.org/wiki/Kurtosis#A_natural_but_biased_estimator">https://en.wikipedia.org/wiki/Kurtosis#A_natural_but_biased_estimator</a></p>
+</dd>
+</dl>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas Series</em>) – data to get kurtosis of, assuming floats</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>biased kurtosis</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>np.float64</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.Subtractable">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">Subtractable</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.Subtractable" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Protocol</span></code></p>
+<p>Protocol for annotating subtractable types.</p>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_numbers">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_numbers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_numbers" title="Permalink to this definition">¶</a></dt>
+<dt class="sig sig-object py">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_numbers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">T</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">T</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span></dt>
+<dd><p>Find the difference between two stats.</p>
+<p>If there is no difference, return “unchanged”.
+For ints/floats, returns stat1 - stat2.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>float</em><em>, </em><em>np.float64</em><em>, </em><em>np.int64</em><em>, </em><em>None</em><em>]</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>Union</em><em>[</em><em>int</em><em>, </em><em>float</em><em>, </em><em>np.float64</em><em>, </em><em>np.int64</em><em>, </em><em>None</em><em>]</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference of the stats</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_strings_and_bools">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_strings_and_bools</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">bool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">bool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">bool</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_strings_and_bools" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two stats.</p>
+<p>If there is no difference, return “unchanged”.
+For strings and bools, return list containing [stat1, stat2].</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>Union</em><em>[</em><em>str</em><em>, </em><em>bool</em><em>]</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference of the stats</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_lists_and_sets">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_lists_and_sets</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">set</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_lists_and_sets" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two stats.</p>
+<p>If there is no difference, return
+“unchanged”. Remove duplicates and returns [unique values of stat1,
+shared values, unique values of stat2].</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>set</em><em>]</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>set</em><em>]</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference of the stats</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_dates">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_dates</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">stat1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">datetime.datetime</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stat2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">datetime.datetime</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_dates" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two dates.</p>
+<p>If there is no difference, return
+“unchanged”. For dates, return the difference in time.</p>
+<p>Because only days can be stored as negative values internally
+for timedelta objects, the output for these negative values is
+less readable due to the combination of signs in the default
+output. This returns a readable output for timedelta that
+accounts for potential negative differences.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>stat1</strong> (<em>datetime.datetime object</em>) – the first statistical input</p></li>
+<li><p><strong>stat2</strong> (<em>datetime.datetime object</em>) – the second statistical input</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>difference in stats</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Union[List, str]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_dicts">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_dicts</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dict1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_dicts" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two dicts.</p>
+<p>For each key in each dict,
+return “unchanged” if there’s no difference, otherwise return
+the difference. Assume that if the two dictionaries share the
+same key, their values are the same type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict1</strong> (<em>dict</em>) – the first dict</p></li>
+<li><p><strong>dict2</strong> (<em>dict</em>) – the second dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Difference in the keys of each dict</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_matrices">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_matrices</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">matrix1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matrix2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_matrices" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two matrices.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>matrix1</strong> (<em>list</em><em>(</em><em>list</em><em>(</em><em>float</em><em>)</em><em>)</em>) – the first matrix</p></li>
+<li><p><strong>matrix2</strong> (<em>list</em><em>(</em><em>list</em><em>(</em><em>float</em><em>)</em><em>)</em>) – the second matrix</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Difference in the matrix</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list(list(float))</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.find_diff_of_dicts_with_diff_keys">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">find_diff_of_dicts_with_diff_keys</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dict1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dict2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">str</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.find_diff_of_dicts_with_diff_keys" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the difference between two dicts.</p>
+<p>For each key in each dict,
+return “unchanged” if there’s no difference, otherwise return
+the difference. Assume that if the two dictionaries share the
+same key, their values are the same type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>dict1</strong> (<em>dict</em>) – the first dict</p></li>
+<li><p><strong>dict2</strong> (<em>dict</em>) – the second dict</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Difference in the keys of each dict</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>list</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.get_memory_size">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">get_memory_size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.ndarray</span> <span class="p"><span class="pre">|</span></span> <span class="pre">DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">'M'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.get_memory_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get memory size of the input data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>Union</em><em>[</em><em>list</em><em>, </em><em>numpy.array</em><em>, </em><em>pandas.DataFrame</em><em>]</em>) – list or array of data</p></li>
+<li><p><strong>unit</strong> (<em>string</em>) – memory size unit (B, K, M, or G)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>memory size of the input data</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.method_timeit">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">method_timeit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.method_timeit" title="Permalink to this definition">¶</a></dt>
+<dd><p>Measure execution time of provided method.</p>
+<p>Record time into times dictionary.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>method</strong> (<em>Callable</em>) – method to time</p></li>
+<li><p><strong>name</strong> (<em>str</em>) – key argument for the times dictionary</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.perform_chi_squared_test_for_homogeneity">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">perform_chi_squared_test_for_homogeneity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">categories1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size1</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">categories2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_size2</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span> </span><span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.perform_chi_squared_test_for_homogeneity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Perform a Chi Squared test for homogeneity between two groups.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>categories1</strong> (<em>dict</em>) – Categories and respective counts of the first group</p></li>
+<li><p><strong>sample_size1</strong> (<em>int</em>) – Number of samples in first group</p></li>
+<li><p><strong>categories2</strong> (<em>dict</em>) – Categories and respective counts of the second group</p></li>
+<li><p><strong>sample_size2</strong> (<em>int</em>) – Number of samples in second group</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Results of the chi squared test</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.chunk">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">lst</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">size</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Iterator</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.chunk" title="Permalink to this definition">¶</a></dt>
+<dd><p>Chunk things out.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>lst</strong> (<em>list</em>) – List to chunk</p></li>
+<li><p><strong>size</strong> (<em>int</em>) – Size of each chunk</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Iterator that produces tuples of each chunk</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Iterator[Tuple]</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.merge">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">merge</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">top_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">profile_builder.BaseProfiler</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">profile_builder.BaseProfiler</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">profile_builder.BaseProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.merge" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merge two Profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>top_profile</strong> (<em>Profile</em>) – First profile</p></li>
+<li><p><strong>other_profile</strong> (<em>Profile</em>) – Second profile</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Merge of two profile objects</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Profile</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.merge_profile_list">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">merge_profile_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">list_of_profiles</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">profile_builder.BaseProfiler</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pool_count</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">profile_builder.BaseProfiler</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.merge_profile_list" title="Permalink to this definition">¶</a></dt>
+<dd><p>Merge list of profiles into a single profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>list_of_profiles</strong> (<em>list</em>) – Categories and respective counts of the second group</p></li>
+<li><p><strong>pool_count</strong> (<em>int</em>) – Number of samples in second group</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Single profile that is the merge of all profiles in the
+<cite>list_of_profiles</cite> list.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>Profile</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.profilers.profiler_utils.reload_labeler_from_options_or_get_new">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.profiler_utils.</span></span><span class="sig-name descname"><span class="pre">reload_labeler_from_options_or_get_new</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_labeler_load_attr</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">BaseDataLabeler</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.profiler_utils.reload_labeler_from_options_or_get_new" title="Permalink to this definition">¶</a></dt>
+<dd><p>If required by the load_attr load a data labeler, but reuse from config if possible.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_labeler_load_attr</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>dict</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>dict</em><em>]</em>) – config for loading classes to reuse an existing labeler</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions">DataLabelerOptions</a></p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.text_column_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Text Column Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.profiler_options.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profiler Options</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.profiler_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.text_column_profile.html b/docs/0.10.3/html/dataprofiler.profilers.text_column_profile.html
new file mode 100644
index 000000000..c9dc6cb69
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.text_column_profile.html
@@ -0,0 +1,587 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Unstructured Labeler Profile" href="dataprofiler.profilers.unstructured_labeler_profile.html" /><link rel="prev" title="Profiler Utils" href="dataprofiler.profilers.profiler_utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Text Column Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.text_column_profile">
+<span id="text-column-profile"></span><h1>Text Column Profile<a class="headerlink" href="#module-dataprofiler.profilers.text_column_profile" title="Permalink to this headline">¶</a></h1>
+<p>Text profile analysis for individual col within structured profiling..</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.text_column_profile.</span></span><span class="sig-name descname"><span class="pre">TextColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">TextOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin" title="dataprofiler.profilers.numerical_column_stats.NumericStatsMixin"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.numerical_column_stats.NumericStatsMixin</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextColumn</span></code></a>], <a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler" title="dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler"><code class="xref py py-class docutils literal notranslate"><span class="pre">dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler</span></code></a>[<a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><code class="xref py py-class docutils literal notranslate"><span class="pre">TextColumn</span></code></a>]</p>
+<p>Text column profile subclass of BaseColumnProfiler.</p>
+<p>Represents a column in the dataset which is a text column.</p>
+<p>Initialize column base properties and itself.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions" title="dataprofiler.profilers.profiler_options.TextOptions"><em>TextOptions</em></a>) – Options for the Text column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><em class="property"> <span class="pre">=</span> <span class="pre">'text'</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attribute of class; potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><span class="pre">dataprofiler.profilers.text_column_profile.TextColumn</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for text columns.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>other_profile</strong> (<em>TextColumn Profile</em>) – profile to find the difference with</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the text columns differences</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.data_type_ratio">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">data_type_ratio</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.data_type_ratio" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the ratio of samples which match this data type.</p>
+<p>NOTE: all values can be considered string so always returns 1 in this
+case.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>ratio of data type</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn"><span class="pre">dataprofiler.profilers.text_column_profile.TextColumn</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>df_series</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated TextColumn</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn">TextColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.load_from_dict">
+<em class="property"><span class="pre">classmethod</span> </em><span class="sig-name descname"><span class="pre">load_from_dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.load_from_dict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Parse attribute from json dictionary into self.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>dict</em><em>[</em><em>string</em><em>, </em><em>Any</em><em>]</em>) – dictionary with attributes and values.</p></li>
+<li><p><strong>config</strong> (<em>Dict</em><em> | </em><em>None</em>) – config for loading column profiler params from dictionary</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Profiler with attributes populated.</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.text_column_profile.TextColumn" title="dataprofiler.profilers.text_column_profile.TextColumn">TextColumn</a></p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.col_type">
+<span class="sig-name descname"><span class="pre">col_type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.col_type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.is_float">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.is_float" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is float.</p>
+<p>For “0.80” this function returns True
+For “1.00” this function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is float or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.is_int">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">is_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.is_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return True if x is integer.</p>
+<p>For “0.80” This function returns False
+For “1.00” This function returns True
+For “1” this function returns True</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>x</strong> (<em>str</em>) – string to test</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>if is integer or not</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.kurtosis">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">kurtosis</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.kurtosis" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return kurtosis value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.mean">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mean</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return mean value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.median">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.median" title="Permalink to this definition">¶</a></dt>
+<dd><p>Estimate the median of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the median</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.median_abs_deviation">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">median_abs_deviation</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.median_abs_deviation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get median absolute deviation estimated from the histogram of the data.</p>
+<blockquote>
+<div><p>Subtract bin edges from the median value
+Fold the histogram to positive and negative parts around zero
+Impose the two bin edges from the two histogram
+Calculate the counts for the two histograms with the imposed bin edges
+Superimpose the counts from the two histograms
+Interpolate the median absolute deviation from the superimposed counts</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>median absolute deviation</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.mode">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">mode</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[float]</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.mode" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find an estimate for the mode[s] of the data.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>the mode(s) of the data</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>list(float)</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.np_type_to_type">
+<em class="property"><span class="pre">static</span> </em><span class="sig-name descname"><span class="pre">np_type_to_type</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">val</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Any</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Any</span></span></span><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.np_type_to_type" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert numpy variables to base python type variables.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>val</strong> (<em>numpy type</em><em> or </em><em>base type</em>) – value to check &amp; change</p>
+</dd>
+<dt class="field-even">Return val</dt>
+<dd class="field-even"><p>base python type</p>
+</dd>
+<dt class="field-odd">Rtype val</dt>
+<dd class="field-odd"><p>int or float</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.skewness">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">skewness</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.skewness" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return skewness value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.stddev">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">stddev</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.stddev" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return stddev value.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.variance">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">variance</span></span><em class="property"><span class="pre">:</span> <span class="pre">float</span> <span class="pre">|</span> <span class="pre">np.float64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.variance" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return variance.</p>
+</dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.min">
+<span class="sig-name descname"><span class="pre">min</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.min" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.max">
+<span class="sig-name descname"><span class="pre">max</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.max" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.sum">
+<span class="sig-name descname"><span class="pre">sum</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.float64</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.sum" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.max_histogram_bin">
+<span class="sig-name descname"><span class="pre">max_histogram_bin</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.max_histogram_bin" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.min_histogram_bin">
+<span class="sig-name descname"><span class="pre">min_histogram_bin</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.min_histogram_bin" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.histogram_bin_method_names">
+<span class="sig-name descname"><span class="pre">histogram_bin_method_names</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.histogram_bin_method_names" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.histogram_selection">
+<span class="sig-name descname"><span class="pre">histogram_selection</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.histogram_selection" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.user_set_histogram_bin">
+<span class="sig-name descname"><span class="pre">user_set_histogram_bin</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.user_set_histogram_bin" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.bias_correction">
+<span class="sig-name descname"><span class="pre">bias_correction</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.bias_correction" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.num_zeros">
+<span class="sig-name descname"><span class="pre">num_zeros</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.num_zeros" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.num_negatives">
+<span class="sig-name descname"><span class="pre">num_negatives</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">np.int64</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.num_negatives" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.histogram_methods">
+<span class="sig-name descname"><span class="pre">histogram_methods</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.histogram_methods" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.quantiles">
+<span class="sig-name descname"><span class="pre">quantiles</span></span><em class="property"><span class="pre">:</span> <span class="pre">list</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.quantiles" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.match_count">
+<span class="sig-name descname"><span class="pre">match_count</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.match_count" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.name">
+<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="pre">:</span> <span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.name" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.sample_size">
+<span class="sig-name descname"><span class="pre">sample_size</span></span><em class="property"><span class="pre">:</span> <span class="pre">int</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.sample_size" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.metadata">
+<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.metadata" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.times">
+<span class="sig-name descname"><span class="pre">times</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.times" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.text_column_profile.TextColumn.thread_safe">
+<span class="sig-name descname"><span class="pre">thread_safe</span></span><em class="property"><span class="pre">:</span> <span class="pre">bool</span></em><a class="headerlink" href="#dataprofiler.profilers.text_column_profile.TextColumn.thread_safe" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.unstructured_labeler_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Unstructured Labeler Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.profiler_utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Profiler Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.text_column_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.unstructured_labeler_profile.html b/docs/0.10.3/html/dataprofiler.profilers.unstructured_labeler_profile.html
new file mode 100644
index 000000000..c2cb73e4f
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.unstructured_labeler_profile.html
@@ -0,0 +1,347 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Unstructured Text Profile" href="dataprofiler.profilers.unstructured_text_profile.html" /><link rel="prev" title="Text Column Profile" href="dataprofiler.profilers.text_column_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Unstructured Labeler Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.unstructured_labeler_profile">
+<span id="unstructured-labeler-profile"></span><h1>Unstructured Labeler Profile<a class="headerlink" href="#module-dataprofiler.profilers.unstructured_labeler_profile" title="Permalink to this headline">¶</a></h1>
+<p>Profile analysis for applying labels within unstructured profiling.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.unstructured_labeler_profile.</span></span><span class="sig-name descname"><span class="pre">UnstructuredLabelerProfile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_labeler_dirpath</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><span class="pre">dataprofiler.profilers.profiler_options.DataLabelerOptions</span></a><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Profiles and labels unstructured data.</p>
+<p>Initialize of Data Label profiling for unstructured datasets.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data_labeler_dirpath</strong> (<em>String</em>) – Directory path to the data labeler</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions" title="dataprofiler.profilers.profiler_options.DataLabelerOptions"><em>DataLabelerOptions</em></a>) – Options for the data labeler column</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'data_labeler'</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return profile object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>remove_disabled_flag</strong> (<em>boolean</em>) – flag to determine if disabled options
+should be excluded in report.</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile" title="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile"><span class="pre">dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for two unstructured labeler profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile" title="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile"><em>UnstructuredLabelerProfile</em></a>) – profile to find the difference with</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for diff output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference between entity counts/percentages</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.label_encoding">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">label_encoding</span></span><em class="property"><span class="pre">:</span> <span class="pre">list[str]</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.label_encoding" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return list of labels.</p>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df_series</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update profile.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a profile.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.profilers.unstructured_text_profile.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Unstructured Text Profile</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.text_column_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Text Column Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.unstructured_labeler_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.unstructured_text_profile.html b/docs/0.10.3/html/dataprofiler.profilers.unstructured_text_profile.html
new file mode 100644
index 000000000..760291ab3
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.unstructured_text_profile.html
@@ -0,0 +1,355 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Labelers" href="dataprofiler.labelers.html" /><link rel="prev" title="Unstructured Labeler Profile" href="dataprofiler.profilers.unstructured_labeler_profile.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Unstructured Text Profile - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.profilers.unstructured_text_profile">
+<span id="unstructured-text-profile"></span><h1>Unstructured Text Profile<a class="headerlink" href="#module-dataprofiler.profilers.unstructured_text_profile" title="Permalink to this headline">¶</a></h1>
+<p>For profiling unstructured text data.</p>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.profilers.unstructured_text_profile.</span></span><span class="sig-name descname"><span class="pre">TextProfiler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">TextProfilerOptions</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Profiles text data.</p>
+<p>Initialize TextProfiler object.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>name</strong> (<em>String</em>) – Name of the data</p></li>
+<li><p><strong>options</strong> (<a class="reference internal" href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions" title="dataprofiler.profilers.profiler_options.TextProfilerOptions"><em>TextProfilerOptions</em></a>) – Options for the Text Profiler</p></li>
+</ul>
+</dd>
+</dl>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.type">
+<span class="sig-name descname"><span class="pre">type</span></span><em class="property"> <span class="pre">=</span> <span class="pre">'text'</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.type" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.diff">
+<span class="sig-name descname"><span class="pre">diff</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other_profile</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler"><span class="pre">dataprofiler.profilers.unstructured_text_profile.TextProfiler</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">dict</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.diff" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the differences for two unstructured text profiles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>other_profile</strong> (<a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler"><em>TextProfiler</em></a>) – profile to find the difference with</p></li>
+<li><p><strong>options</strong> (<em>dict</em>) – options for diff output</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>the difference between profiles</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.report">
+<span class="sig-name descname"><span class="pre">report</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">remove_disabled_flag</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Report profile attribute of class; potentially pop val from self.profile.</p>
+</dd></dl>
+<dl class="py property">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.profile">
+<em class="property"><span class="pre">property</span> </em><span class="sig-name descname"><span class="pre">profile</span></span><em class="property"><span class="pre">:</span> <span class="pre">dict</span></em><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the profile of the column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns</dt>
+<dd class="field-odd"><p>profile of the column</p>
+</dd>
+<dt class="field-even">Return type</dt>
+<dd class="field-even"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.profilers.unstructured_text_profile.TextProfiler.update">
+<span class="sig-name descname"><span class="pre">update</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pandas.core.series.Series</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler"><span class="pre">dataprofiler.profilers.unstructured_text_profile.TextProfiler</span></a></span></span><a class="headerlink" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler.update" title="Permalink to this definition">¶</a></dt>
+<dd><p>Update the column profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>data</strong> (<em>pandas.core.series.Series</em>) – df series</p>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>updated TextProfiler</p>
+</dd>
+<dt class="field-odd">Return type</dt>
+<dd class="field-odd"><p><a class="reference internal" href="#dataprofiler.profilers.unstructured_text_profile.TextProfiler" title="dataprofiler.profilers.unstructured_text_profile.TextProfiler">TextProfiler</a></p>
+</dd>
+</dl>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.labelers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Labelers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.profilers.unstructured_labeler_profile.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Unstructured Labeler Profile</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.unstructured_text_profile.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.profilers.utils.html b/docs/0.10.3/html/dataprofiler.profilers.utils.html
new file mode 100644
index 000000000..c19bcf316
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.profilers.utils.html
@@ -0,0 +1,264 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="utils">
+<h1>Utils<a class="headerlink" href="#utils" title="Permalink to this headline">¶</a></h1>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.profilers.utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.reports.graphs.html b/docs/0.10.3/html/dataprofiler.reports.graphs.html
new file mode 100644
index 000000000..6c903afbb
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.reports.graphs.html
@@ -0,0 +1,265 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graphs - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.reports.graphs">
+<span id="graphs"></span><h1>Graphs<a class="headerlink" href="#module-dataprofiler.reports.graphs" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for generating graph data report.</p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.reports.graphs.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.reports.html b/docs/0.10.3/html/dataprofiler.reports.html
new file mode 100644
index 000000000..f8a0db514
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.reports.html
@@ -0,0 +1,297 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Reports - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="reports">
+<h1>Reports<a class="headerlink" href="#reports" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.reports.graphs.html">Graphs</a></li>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.reports.utils.html">Utils</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.reports"></span><p>Package for generating reports.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.reports.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Reports</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.reports.utils.html b/docs/0.10.3/html/dataprofiler.reports.utils.html
new file mode 100644
index 000000000..65ba7f201
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.reports.utils.html
@@ -0,0 +1,290 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.reports.utils">
+<span id="utils"></span><h1>Utils<a class="headerlink" href="#module-dataprofiler.reports.utils" title="Permalink to this headline">¶</a></h1>
+<p>Contains functions for checking for installations/dependencies.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.reports.utils.warn_missing_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.reports.utils.</span></span><span class="sig-name descname"><span class="pre">warn_missing_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">graph_func</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">module_name</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.reports.utils.warn_missing_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a warning if a given graph module doesn’t exist.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>graph_func</strong> (<em>str</em>) – Name of the graphing function</p></li>
+<li><p><strong>module_name</strong> (<em>str</em>) – module name that was missing</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.reports.utils.require_module">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.reports.utils.</span></span><span class="sig-name descname"><span class="pre">require_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">names</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">Callable</span><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><span class="pre">dataprofiler.reports.utils.F</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span> </span><span class="pre">dataprofiler.reports.utils.F</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#dataprofiler.reports.utils.require_module" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check if a set of modules exists in sys.modules prior to running function.</p>
+<p>If they do not, give a user a warning and do not run the
+function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><p><strong>names</strong> (<em>list</em><em>[</em><em>str</em><em>]</em>) – list of module names to check for in sys.modules</p>
+</dd>
+</dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.reports.utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.rng_utils.html b/docs/0.10.3/html/dataprofiler.rng_utils.html
new file mode 100644
index 000000000..6b00c4b1d
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.rng_utils.html
@@ -0,0 +1,270 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Rng Utils - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.rng_utils">
+<span id="rng-utils"></span><h1>Rng Utils<a class="headerlink" href="#module-dataprofiler.rng_utils" title="Permalink to this headline">¶</a></h1>
+<p>Create a random number generator using a manual seed DATAPROFILER_SEED.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.rng_utils.get_random_number_generator">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.rng_utils.</span></span><span class="sig-name descname"><span class="pre">get_random_number_generator</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">numpy.random._generator.Generator</span></span></span><a class="headerlink" href="#dataprofiler.rng_utils.get_random_number_generator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Create a random number generator using a manual seed DATAPROFILER_SEED.</p>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.rng_utils.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.settings.html b/docs/0.10.3/html/dataprofiler.settings.html
new file mode 100644
index 000000000..d01a5f1dc
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.settings.html
@@ -0,0 +1,265 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Settings - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.settings">
+<span id="settings"></span><h1>Settings<a class="headerlink" href="#module-dataprofiler.settings" title="Permalink to this headline">¶</a></h1>
+<p>Configure settings for dataprofiler.</p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.settings.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.validators.base_validators.html b/docs/0.10.3/html/dataprofiler.validators.base_validators.html
new file mode 100644
index 000000000..624cba946
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.validators.base_validators.html
@@ -0,0 +1,353 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="prev" title="Validators" href="dataprofiler.validators.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Base Validators - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l3 current current-page"><a class="current reference internal" href="#">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.validators.base_validators">
+<span id="base-validators"></span><h1>Base Validators<a class="headerlink" href="#module-dataprofiler.validators.base_validators" title="Permalink to this headline">¶</a></h1>
+<p>Build model for dataset by identifying col type along with its respective params.</p>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.is_in_range">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.validators.base_validators.</span></span><span class="sig-name descname"><span class="pre">is_in_range</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.is_in_range" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see x is in the range of the config.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<em>int/float</em>) – number</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – configuration</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py function">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.is_in_list">
+<span class="sig-prename descclassname"><span class="pre">dataprofiler.validators.base_validators.</span></span><span class="sig-name descname"><span class="pre">is_in_list</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">str</span> <span class="p"><span class="pre">|</span></span> <span class="pre">int</span> <span class="p"><span class="pre">|</span></span> <span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">bool</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.is_in_list" title="Permalink to this definition">¶</a></dt>
+<dd><p>Check to see x is in the config list.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x</strong> (<em>string</em>) – item</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – configuration</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py class">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.Validator">
+<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">dataprofiler.validators.base_validators.</span></span><span class="sig-name descname"><span class="pre">Validator</span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.Validator" title="Permalink to this definition">¶</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>For validating a data set.</p>
+<p>Initialize Validator object.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.Validator.validate">
+<span class="sig-name descname"><span class="pre">validate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">pd.DataFrame</span> <span class="p"><span class="pre">|</span></span> <span class="pre">dd.DataFrame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">dict</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.Validator.validate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Validate a data set.</p>
+<p>No option for validating a partial data set.</p>
+<p>Set configuration on run not on instantiation of the class such that
+you have the option to run multiple times with different configurations
+without having to also reinstantiate the class.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>data</strong> (<em>DataFrame Dask/Pandas</em>) – The data to be processed by the validator. Processing
+occurs in a column-wise fashion.</p></li>
+<li><p><strong>config</strong> (<em>dict</em>) – configuration for how the validator should
+run across the given data. Validator will only run over columns
+specified in the configuration.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Example</dt>
+<dd class="field-even"><p>This is an example of the config:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">config</span> <span class="o">=</span> <span class="p">{</span>
+        <span class="o">&lt;</span><span class="n">column_name</span><span class="o">&gt;</span><span class="p">:</span> <span class="p">{</span>
+                <span class="nb">range</span><span class="p">:</span> <span class="p">{</span>
+                    <span class="s1">'start'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span>
+                    <span class="s1">'end'</span><span class="p">:</span><span class="mi">2</span>
+                <span class="p">},</span>
+                <span class="nb">list</span><span class="p">:</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span>
+            <span class="p">}</span>
+        <span class="p">}</span>
+</pre></div>
+</div>
+</dd>
+</dl>
+</dd></dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="dataprofiler.validators.base_validators.Validator.get">
+<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="headerlink" href="#dataprofiler.validators.base_validators.Validator.get" title="Permalink to this definition">¶</a></dt>
+<dd><p>Get the results of the validation run.</p>
+</dd></dl>
+</dd></dl>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          <a class="prev-page" href="dataprofiler.validators.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Validators</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.validators.base_validators.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.validators.html b/docs/0.10.3/html/dataprofiler.validators.html
new file mode 100644
index 000000000..c62ae8e18
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.validators.html
@@ -0,0 +1,314 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Base Validators" href="dataprofiler.validators.base_validators.html" /><link rel="prev" title="Utils" href="dataprofiler.labelers.utils.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Validators - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 current has-children"><a class="reference internal" href="API.html">API</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 current has-children current-page"><a class="current reference internal" href="#">Validators</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="validators">
+<h1>Validators<a class="headerlink" href="#validators" title="Permalink to this headline">¶</a></h1>
+<section id="modules">
+<h2>Modules<a class="headerlink" href="#modules" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</div>
+<span class="target" id="module-dataprofiler.validators"></span><p>Package for identifying cols.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="dataprofiler.validators.base_validators.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Base Validators</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="dataprofiler.labelers.utils.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Utils</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.validators.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Validators</a><ul>
+<li><a class="reference internal" href="#modules">Modules</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/dataprofiler.version.html b/docs/0.10.3/html/dataprofiler.version.html
new file mode 100644
index 000000000..b0b234cc0
--- /dev/null
+++ b/docs/0.10.3/html/dataprofiler.version.html
@@ -0,0 +1,265 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Version - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="module-dataprofiler.version">
+<span id="version"></span><h1>Version<a class="headerlink" href="#module-dataprofiler.version" title="Permalink to this headline">¶</a></h1>
+<p>File contains the version number for the package.</p>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/dataprofiler.version.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/examples.html b/docs/0.10.3/html/examples.html
new file mode 100644
index 000000000..338e039a7
--- /dev/null
+++ b/docs/0.10.3/html/examples.html
@@ -0,0 +1,426 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Profiler - What’s in your data?" href="overview.html" /><link rel="prev" title="Graphs" href="graphs.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Examples - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children current-page"><a class="current reference internal" href="#">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="examples">
+<span id="id1"></span><h1>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h1>
+<p>These examples provide a more in-depth look into the details of the <code class="docutils literal notranslate"><span class="pre">Data</span> <span class="pre">Profiler</span></code> library.</p>
+<section id="basics">
+<h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="overview.html">Overview of Data Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Basic-Usage-of-the-Data-Profiler">Basic Usage of the Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Data-reader-class">Data reader class</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Structured-Profiler-vs. Unstructured-Profiler">Structured Profiler vs. Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Profiler-options">Profiler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Update-profiles">Update profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Merge-profiles">Merge profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="overview.html#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="data_reader.html">Data Reader</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Automatically-reading-and-detecting-data">Automatically reading and detecting data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Specifying-detection-options-of-Data-and-loading-pandas.DataFrame">Specifying detection options of <code class="docutils literal notranslate"><span class="pre">Data</span></code> and loading <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Accessing-data-and-attributes">Accessing data and attributes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Checking-data-file-types-with-is_match">Checking data file types with <code class="docutils literal notranslate"><span class="pre">is_match</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Reloading-data-after-altering-options-with-reload">Reloading data after altering options with <code class="docutils literal notranslate"><span class="pre">reload</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#A-deeper-dive-into-CSVData">A deeper dive into <code class="docutils literal notranslate"><span class="pre">CSVData</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Intro-to-the-CSVData-data-reader">Intro to the <code class="docutils literal notranslate"><span class="pre">CSVData</span></code> data reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#CSVData-Options">CSVData Options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-delimiter-and-quotechar">Options: delimiter and quotechar</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-header">Options: header</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-data_format">Options: data_format</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Options:-selected-columns">Options: selected columns</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html#Intro-to-GraphData-data-reader">Intro to <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> data reader</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="profiler_example.html">Structured Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Reporting">Reporting</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Profiler-Type">Profiler Type</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Profiler-options">Profiler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Updating-Profiles">Updating Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Merging-Profiles">Merging Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Differences-in-Data">Differences in Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Graphing-a-Profile">Graphing a Profile</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Reporting">Reporting</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Profiler-Type">Profiler Type</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Profiler-options">Profiler options</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Updating-Profiles">Updating Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Merging-Profiles">Merging Profiles</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Differences-in-Data">Differences in Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Profile">Profile</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Difference-in-Data">Difference in Data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="labeler.html">Labeler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#What-is-the-Labeler">What is the Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Structured-Data-Prediction">Structured Data Prediction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Unstructured-Data-Prediction">Unstructured Data Prediction</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Train-the-Labeler-from-Scratch">Train the Labeler from Scratch</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Transfer-Learning-a-Labeler">Transfer Learning a Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Saving-and-Loading-a-Labeler">Saving and Loading a Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html#Building-a-Labeler-from-the-Ground-Up">Building a Labeler from the Ground Up</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html#Dataset">Dataset</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html#Implement-a-new-character-level-LSTM-model">Implement a new character-level LSTM model</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html#Integrate-the-new-LSTM-model-to-the-DataLabeler">Integrate the new LSTM model to the DataLabeler</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Loading-and-using-the-pre-existing-regex-data-labeler">Loading and using the pre-existing regex data labeler</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Predicting-with-the-regex-labeler">Predicting with the regex labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Replacing-the-regex-rules-in-the-existing-labeler">Replacing the regex rules in the existing labeler</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Predicting-with-the-new-regex-labels">Predicting with the new regex labels</a></li>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Adjusting-postprocessor-properties">Adjusting postprocessor properties</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Integrating-the-new-Regex-labeler-into-Structured-Profiling">Integrating the new Regex labeler into Structured Profiling</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="regex_labeler_from_scratch.html#Setting-the-Structuredprofiler’s-DataLabeler">Setting the Structuredprofiler’s DataLabeler</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Loading-and-predicting-using-a-pre-existing-model-using-load_from_library">Loading and predicting using a pre-existing model using <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code></a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Loading-and-using-the-pre-existing-column-name-labeler-using-load_with_components">Loading and using the pre-existing column name labeler using <code class="docutils literal notranslate"><span class="pre">load_with_components</span></code></a><ul>
+<li class="toctree-l3"><a class="reference internal" href="column_name_labeler_example.html#Predicting-with-the-ColumnName-labeler">Predicting with the ColumnName labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Replacing-the-parameters-in-the-existing-labeler">Replacing the parameters in the existing labeler</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="column_name_labeler_example.html#Predicting-with-the-new-labels">Predicting with the new labels</a></li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html#Imports">Imports</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html#Setup-the-Data-and-Profiler">Setup the Data and Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html#Run-Merge-on-List-of-Profiles">Run Merge on List of Profiles</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#How-to-Install-Popmon">How to Install Popmon</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Comparison-of-Dataloaders">Comparison of Dataloaders</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Popmon’s-usage-example-using-both-dataloaders">Popmon’s usage example using both dataloaders</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Examples-of-data">Examples of data</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Dataprofiler’s-examples-using-both-dataloaders">Dataprofiler’s examples using both dataloaders</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html#Report-comparison">Report comparison</a></li>
+</ul>
+</li>
+</ul>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="overview.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Profiler - What’s in your data?</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="graphs.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graphs</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/examples.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Examples</a><ul>
+<li><a class="reference internal" href="#basics">Basics</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/genindex.html b/docs/0.10.3/html/genindex.html
new file mode 100644
index 000000000..32154f139
--- /dev/null
+++ b/docs/0.10.3/html/genindex.html
@@ -0,0 +1,3430 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="#" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/><title>Index - Data Profiler v0.10.3</title>
+<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<section class="genindex-section">
+  <h1 id="index">Index</h1>
+  <div class="genindex-jumpbox"><a href="#A"><strong>A</strong></a> | <a href="#B"><strong>B</strong></a> | <a href="#C"><strong>C</strong></a> | <a href="#D"><strong>D</strong></a> | <a href="#E"><strong>E</strong></a> | <a href="#F"><strong>F</strong></a> | <a href="#G"><strong>G</strong></a> | <a href="#H"><strong>H</strong></a> | <a href="#I"><strong>I</strong></a> | <a href="#J"><strong>J</strong></a> | <a href="#K"><strong>K</strong></a> | <a href="#L"><strong>L</strong></a> | <a href="#M"><strong>M</strong></a> | <a href="#N"><strong>N</strong></a> | <a href="#O"><strong>O</strong></a> | <a href="#P"><strong>P</strong></a> | <a href="#Q"><strong>Q</strong></a> | <a href="#R"><strong>R</strong></a> | <a href="#S"><strong>S</strong></a> | <a href="#T"><strong>T</strong></a> | <a href="#U"><strong>U</strong></a> | <a href="#V"><strong>V</strong></a> | <a href="#W"><strong>W</strong></a></div>
+</section>
+<section id="A" class="genindex-section">
+  <h2>A</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.abstractstaticmethod">abstractstaticmethod (class in dataprofiler.profilers.numerical_column_stats)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.activity_regularizer">activity_regularizer (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.activity_regularizer">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.add_label">add_label() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.add_label">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.add_label">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.add_label">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.add_label">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.add_label">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.add_label">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.add_label">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.add_label">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.add_label">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_loss">add_loss() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_loss">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_metric">add_metric() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_metric">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.add_nested_dictionaries">add_nested_dictionaries() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_update">add_update() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_update">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_variable">add_variable() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_variable">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.add_weight">add_weight() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.add_weight">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.assert_equal_conditions">assert_equal_conditions() (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn static method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.auto_multiprocess_toggle">auto_multiprocess_toggle() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.AutoSubRegistrationMeta">AutoSubRegistrationMeta (class in dataprofiler.labelers.base_model)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta">(class in dataprofiler.labelers.data_processing)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.avg_predictions">avg_predictions (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData">AVROData (class in dataprofiler.data_readers.avro_data)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="B" class="genindex-section">
+  <h2>B</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler">BaseColumnPrimitiveTypeProfiler (class in dataprofiler.profilers.base_column_profilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler">BaseColumnProfiler (class in dataprofiler.profilers.base_column_profilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler">BaseCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData">BaseData (class in dataprofiler.data_readers.base_data)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler">BaseDataLabeler (class in dataprofiler.labelers.base_data_labeler)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor">BaseDataPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor">BaseDataPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor">BaseDataProcessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions">BaseInspectorOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel">BaseModel (class in dataprofiler.labelers.base_model)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption">BaseOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler">BaseProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel">BaseTrainableModel (class in dataprofiler.labelers.base_model)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.bias_correction">bias_correction (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.biased_kurt">biased_kurt() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.biased_skew">biased_skew() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption">BooleanOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.build">build() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.build">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.build_embd_dictionary">build_embd_dictionary() (in module dataprofiler.labelers.character_level_cnn_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.build_from_config">build_from_config() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.build_from_config">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="C" class="genindex-section">
+  <h2>C</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.helpers.html#dataprofiler.profilers.helpers.calculate_quantiles">calculate_quantiles() (in module dataprofiler.profilers.helpers)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.helpers.report_helpers.html#dataprofiler.profilers.helpers.report_helpers.calculate_quantiles">(in module dataprofiler.profilers.helpers.report_helpers)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.call">call() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.call">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categorical_counts">categorical_counts (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn">CategoricalColumn (class in dataprofiler.profilers.categorical_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions">CategoricalOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.categories">categories (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel">CharacterLevelCnnModel (class in dataprofiler.labelers.character_level_cnn_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor">CharEncodedPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel">CharLoadTFModel (class in dataprofiler.labelers.char_load_tf_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor">CharPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor">CharPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.check_integer">check_integer() (dataprofiler.data_readers.graph_data.GraphData method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.check_pipeline">check_pipeline() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.check_pipeline">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.check_pipeline">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.check_pipeline">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.chunk">chunk() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.classification_report_utils.html#dataprofiler.labelers.classification_report_utils.classification_report">classification_report() (in module dataprofiler.labelers.classification_report_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.clean_data_and_get_base_stats">clean_data_and_get_base_stats() (dataprofiler.profilers.profile_builder.StructuredColProfiler static method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.clear">clear() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.col_type">col_type (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.col_type">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.col_type">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.col_type">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.col_type">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.col_type">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.col_type">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.col_type">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.col_type">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.col_type">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler">ColumnDataLabelerCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel">ColumnNameModel (class in dataprofiler.labelers.column_name_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor">ColumnNameModelPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler">ColumnPrimitiveTypeProfileCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler">ColumnStatsProfileCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.Comparable">Comparable (class in dataprofiler.profilers.order_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_dtype">compute_dtype (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_dtype">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_mask">compute_mask() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_mask">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_output_shape">compute_output_shape() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_shape">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.compute_output_signature">compute_output_signature() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.compute_output_signature">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.classification_report_utils.html#dataprofiler.labelers.classification_report_utils.convert_confusion_matrix_to_MCM">convert_confusion_matrix_to_MCM() (in module dataprofiler.labelers.classification_report_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.convert_int_to_string">convert_int_to_string() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.convert_to_NER_format">convert_to_NER_format() (dataprofiler.labelers.data_processing.CharPostprocessor static method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.convert_to_structured_analysis">convert_to_structured_analysis() (dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.convert_to_unstructured_format">convert_to_unstructured_format() (dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.copy">copy() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions">CorrelationOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.count_params">count_params() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.count_params">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.create_glove_char">create_glove_char() (in module dataprofiler.labelers.character_level_cnn_model)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.csv_column_names">csv_column_names() (dataprofiler.data_readers.graph_data.GraphData class method)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData">CSVData (class in dataprofiler.data_readers.csv_data)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="D" class="genindex-section">
+  <h2>D</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data">Data (class in dataprofiler.data_readers.data)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data">data (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.data">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.data">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.data">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.data">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.data">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data_and_metadata">data_and_metadata (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data_and_metadata">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data.html#dataprofiler.data_readers.data.Data.data_classes">data_classes (dataprofiler.data_readers.data.Data attribute)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data_format">data_format (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.data_format">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.data_format">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.data_format">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data_format">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.data_format">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.data_format">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.data_generator">data_generator() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.data_label">data_label (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.data_type">data_type (dataprofiler.data_readers.avro_data.AVROData attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.data_type">(dataprofiler.data_readers.base_data.BaseData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.data_type">(dataprofiler.data_readers.csv_data.CSVData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.data_type">(dataprofiler.data_readers.graph_data.GraphData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.data_type">(dataprofiler.data_readers.json_data.JSONData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.data_type">(dataprofiler.data_readers.parquet_data.ParquetData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.data_type">(dataprofiler.data_readers.text_data.TextData attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.data_type_ratio">data_type_ratio (dataprofiler.profilers.datetime_column_profile.DateTimeColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.data_type_ratio">(dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.data_type_ratio">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.data_type_ratio">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler">DataLabeler (class in dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn">DataLabelerColumn (class in dataprofiler.profilers.data_labeler_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions">DataLabelerOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li>
+    dataprofiler
+
+        <ul>
+          <li><a href="dataprofiler.html#module-dataprofiler">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.html#module-dataprofiler.data_readers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.avro_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.avro_data.html#module-dataprofiler.data_readers.avro_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.base_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#module-dataprofiler.data_readers.base_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.csv_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.csv_data.html#module-dataprofiler.data_readers.csv_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.data.html#module-dataprofiler.data_readers.data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.data_utils
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.data_utils.html#module-dataprofiler.data_readers.data_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.filepath_or_buffer
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#module-dataprofiler.data_readers.filepath_or_buffer">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.graph_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.graph_data.html#module-dataprofiler.data_readers.graph_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.json_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#module-dataprofiler.data_readers.json_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.parquet_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#module-dataprofiler.data_readers.parquet_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.structured_mixins
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.structured_mixins.html#module-dataprofiler.data_readers.structured_mixins">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.data_readers.text_data
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.text_data.html#module-dataprofiler.data_readers.text_data">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.dp_logging
+
+        <ul>
+          <li><a href="dataprofiler.dp_logging.html#module-dataprofiler.dp_logging">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers
+
+        <ul>
+          <li><a href="dataprofiler.labelers.html#module-dataprofiler.labelers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.base_data_labeler
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#module-dataprofiler.labelers.base_data_labeler">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.base_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#module-dataprofiler.labelers.base_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.char_load_tf_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#module-dataprofiler.labelers.char_load_tf_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.character_level_cnn_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#module-dataprofiler.labelers.character_level_cnn_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.classification_report_utils
+
+        <ul>
+          <li><a href="dataprofiler.labelers.classification_report_utils.html#module-dataprofiler.labelers.classification_report_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.column_name_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.column_name_model.html#module-dataprofiler.labelers.column_name_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.data_labelers
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_labelers.html#module-dataprofiler.labelers.data_labelers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.data_processing
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#module-dataprofiler.labelers.data_processing">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.labeler_utils
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#module-dataprofiler.labelers.labeler_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.regex_model
+
+        <ul>
+          <li><a href="dataprofiler.labelers.regex_model.html#module-dataprofiler.labelers.regex_model">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.labelers.utils
+
+        <ul>
+          <li><a href="dataprofiler.labelers.utils.html#module-dataprofiler.labelers.utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.html#module-dataprofiler.profilers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.base_column_profilers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#module-dataprofiler.profilers.base_column_profilers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.categorical_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#module-dataprofiler.profilers.categorical_column_profile">module</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li>
+    dataprofiler.profilers.column_profile_compilers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#module-dataprofiler.profilers.column_profile_compilers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.data_labeler_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#module-dataprofiler.profilers.data_labeler_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.datetime_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#module-dataprofiler.profilers.datetime_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.float_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#module-dataprofiler.profilers.float_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.graph_profiler
+
+        <ul>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#module-dataprofiler.profilers.graph_profiler">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.helpers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.helpers.html#module-dataprofiler.profilers.helpers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.helpers.report_helpers
+
+        <ul>
+          <li><a href="dataprofiler.profilers.helpers.report_helpers.html#module-dataprofiler.profilers.helpers.report_helpers">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.histogram_utils
+
+        <ul>
+          <li><a href="dataprofiler.profilers.histogram_utils.html#module-dataprofiler.profilers.histogram_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.int_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#module-dataprofiler.profilers.int_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.json_decoder
+
+        <ul>
+          <li><a href="dataprofiler.profilers.json_decoder.html#module-dataprofiler.profilers.json_decoder">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.json_encoder
+
+        <ul>
+          <li><a href="dataprofiler.profilers.json_encoder.html#module-dataprofiler.profilers.json_encoder">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.numerical_column_stats
+
+        <ul>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#module-dataprofiler.profilers.numerical_column_stats">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.order_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#module-dataprofiler.profilers.order_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.profile_builder
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profile_builder.html#module-dataprofiler.profilers.profile_builder">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.profiler_options
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#module-dataprofiler.profilers.profiler_options">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.profiler_utils
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_utils.html#module-dataprofiler.profilers.profiler_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.text_column_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#module-dataprofiler.profilers.text_column_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.unstructured_labeler_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#module-dataprofiler.profilers.unstructured_labeler_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.profilers.unstructured_text_profile
+
+        <ul>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#module-dataprofiler.profilers.unstructured_text_profile">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.reports
+
+        <ul>
+          <li><a href="dataprofiler.reports.html#module-dataprofiler.reports">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.reports.graphs
+
+        <ul>
+          <li><a href="dataprofiler.reports.graphs.html#module-dataprofiler.reports.graphs">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.reports.utils
+
+        <ul>
+          <li><a href="dataprofiler.reports.utils.html#module-dataprofiler.reports.utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.rng_utils
+
+        <ul>
+          <li><a href="dataprofiler.rng_utils.html#module-dataprofiler.rng_utils">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.settings
+
+        <ul>
+          <li><a href="dataprofiler.settings.html#module-dataprofiler.settings">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.validators
+
+        <ul>
+          <li><a href="dataprofiler.validators.html#module-dataprofiler.validators">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.validators.base_validators
+
+        <ul>
+          <li><a href="dataprofiler.validators.base_validators.html#module-dataprofiler.validators.base_validators">module</a>
+</li>
+        </ul></li>
+        <li>
+    dataprofiler.version
+
+        <ul>
+          <li><a href="dataprofiler.version.html#module-dataprofiler.version">module</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn">DateTimeColumn (class in dataprofiler.profilers.datetime_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions">DateTimeOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.default">default() (dataprofiler.profilers.json_encoder.ProfileEncoder method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.default_factory">default_factory (dataprofiler.profilers.profiler_utils.KeyDict attribute)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.delimiter">delimiter (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.details">details() (dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.details">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.detect_cell_type">detect_cell_type() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.detect_file_encoding">detect_file_encoding() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.diff">diff() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.diff">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.diff">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.diff">(dataprofiler.profilers.column_profile_compilers.BaseCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.diff">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.diff">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.diff">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.diff">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.diff">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.diff">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.diff">(dataprofiler.profilers.float_column_profile.FloatColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.diff">(dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.diff">(dataprofiler.profilers.int_column_profile.IntColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.diff">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.diff">(dataprofiler.profilers.order_column_profile.OrderColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.diff">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.diff">(dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.diff">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.diff">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.diff">(dataprofiler.profilers.text_column_profile.TextColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.diff">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.diff">(dataprofiler.profilers.unstructured_text_profile.TextProfiler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor">DirectPassPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.dtype">dtype (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.dtype">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.dtype_policy">dtype_policy (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.dtype_policy">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.dynamic">dynamic (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.dynamic">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="E" class="genindex-section">
+  <h2>E</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.enabled_profiles">enabled_profiles (dataprofiler.profilers.profiler_options.StructuredOptions property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.enabled_profiles">(dataprofiler.profilers.profiler_options.UnstructuredOptions property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.encode">encode() (dataprofiler.profilers.json_encoder.ProfileEncoder method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.evaluate_accuracy">evaluate_accuracy() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="F" class="genindex-section">
+  <h2>F</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.f1_report_dict_to_str">f1_report_dict_to_str() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score">F1Score (class in dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore">FBetaScore (class in dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.file_encoding">file_encoding (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.file_encoding">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.file_encoding">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.file_encoding">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.file_encoding">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.file_encoding">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.file_encoding">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#dataprofiler.data_readers.filepath_or_buffer.FileOrBufferHandler">FileOrBufferHandler (class in dataprofiler.data_readers.filepath_or_buffer)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.finalize_state">finalize_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.finalize_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_dates">find_diff_of_dates() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_dicts">find_diff_of_dicts() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_dicts_with_diff_keys">find_diff_of_dicts_with_diff_keys() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_lists_and_sets">find_diff_of_lists_and_sets() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_matrices">find_diff_of_matrices() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_numbers">find_diff_of_numbers() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.find_diff_of_strings_and_bools">find_diff_of_strings_and_bools() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.find_nth_loc">find_nth_loc() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.fit">fit() (dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.fit">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.fit">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.fit">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.helpers.report_helpers.html#dataprofiler.profilers.helpers.report_helpers.flat_dict">flat_dict() (in module dataprofiler.profilers.helpers.report_helpers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn">FloatColumn (class in dataprofiler.profilers.float_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions">FloatOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.from_config">from_config() (dataprofiler.labelers.labeler_utils.F1Score class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.from_config">(dataprofiler.labelers.labeler_utils.FBetaScore class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.fromkeys">fromkeys() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="G" class="genindex-section">
+  <h2>G</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.generate_pool">generate_pool() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.generator_on_file">generator_on_file() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.get">get() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.Validator.get">(dataprofiler.validators.base_validators.Validator method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.get_batch_generator">get_batch_generator() (dataprofiler.data_readers.avro_data.AVROData method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.get_batch_generator">(dataprofiler.data_readers.base_data.BaseData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.get_batch_generator">(dataprofiler.data_readers.csv_data.CSVData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.get_batch_generator">(dataprofiler.data_readers.graph_data.GraphData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.get_batch_generator">(dataprofiler.data_readers.json_data.JSONData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.get_batch_generator">(dataprofiler.data_readers.parquet_data.ParquetData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.get_batch_generator">(dataprofiler.data_readers.text_data.TextData method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_build_config">get_build_config() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_build_config">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.dp_logging.html#dataprofiler.dp_logging.get_child_logger">get_child_logger() (in module dataprofiler.dp_logging)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.get_class">get_class() (dataprofiler.labelers.base_model.BaseModel class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.get_class">(dataprofiler.labelers.base_model.BaseTrainableModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_class">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_class">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.get_class">(dataprofiler.labelers.column_name_model.ColumnNameModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_class">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_class">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.get_class">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_class">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.get_class">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.get_class">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_class">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_class">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.get_class">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_class">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_class">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_class">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.get_class">(dataprofiler.labelers.regex_model.RegexModel class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_column_profiler_class">get_column_profiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_compiler_class">get_compiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_config">get_config() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_config">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.get_delimiter_regex">get_delimiter_regex() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_input_at">get_input_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_input_mask_at">get_input_mask_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_mask_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_input_shape_at">get_input_shape_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_input_shape_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.dp_logging.html#dataprofiler.dp_logging.get_logger">get_logger() (in module dataprofiler.dp_logging)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.get_memory_size">get_memory_size() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_option_class">get_option_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_output_at">get_output_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_output_mask_at">get_output_mask_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_mask_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_output_shape_at">get_output_shape_at() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_output_shape_at">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.get_parameters">get_parameters() (dataprofiler.labelers.base_model.BaseModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.get_parameters">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.get_parameters">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.get_parameters">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.get_parameters">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.get_parameters">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.get_parameters">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.get_parameters">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.get_parameters">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.get_parameters">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.get_parameters">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_profiler_class">get_profiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.rng_utils.html#dataprofiler.rng_utils.get_random_number_generator">get_random_number_generator() (in module dataprofiler.rng_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.get_structured_col_profiler_class">get_structured_col_profiler_class() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.get_tf_layer_index_from_name">get_tf_layer_index_from_name() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.get_weights">get_weights() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.get_weights">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.gini_impurity">gini_impurity (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData">GraphData (class in dataprofiler.data_readers.graph_data)</a>
+</li>
+        <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler">GraphProfiler (class in dataprofiler.profilers.graph_profiler)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="H" class="genindex-section">
+  <h2>H</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.header">header (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.help">help() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.help">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.help">(dataprofiler.labelers.base_model.BaseModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.help">(dataprofiler.labelers.base_model.BaseTrainableModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.help">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.help">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.help">(dataprofiler.labelers.column_name_model.ColumnNameModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.help">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.help">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.help">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.help">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.help">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.help">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.help">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.help">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.help">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.help">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.help">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.help">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.help">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.help">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.help">(dataprofiler.labelers.regex_model.RegexModel class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.hide_tf_logger_warnings">hide_tf_logger_warnings() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.histogram_bin_method_names">histogram_bin_method_names (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.histogram_methods">histogram_methods (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.histogram_selection">histogram_selection (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption">HistogramAndQuantilesOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions">HyperLogLogOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="I" class="genindex-section">
+  <h2>I</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.inbound_nodes">inbound_nodes (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.inbound_nodes">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.info">info (dataprofiler.data_readers.avro_data.AVROData attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.info">(dataprofiler.data_readers.base_data.BaseData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.info">(dataprofiler.data_readers.csv_data.CSVData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.info">(dataprofiler.data_readers.graph_data.GraphData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.info">(dataprofiler.data_readers.json_data.JSONData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.info">(dataprofiler.data_readers.parquet_data.ParquetData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.info">(dataprofiler.data_readers.text_data.TextData attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input">input (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input_mask">input_mask (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input_mask">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input_shape">input_shape (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input_shape">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.input_spec">input_spec (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.input_spec">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn">IntColumn (class in dataprofiler.profilers.int_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions">IntOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.is_float">is_float() (dataprofiler.profilers.float_column_profile.FloatColumn static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.is_float">(dataprofiler.profilers.int_column_profile.IntColumn static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_float">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.is_float">(dataprofiler.profilers.text_column_profile.TextColumn static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.is_in_list">is_in_list() (in module dataprofiler.validators.base_validators)</a>
+</li>
+        <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.is_in_range">is_in_range() (in module dataprofiler.validators.base_validators)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.is_int">is_int() (dataprofiler.profilers.float_column_profile.FloatColumn static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.is_int">(dataprofiler.profilers.int_column_profile.IntColumn static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.is_int">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.is_int">(dataprofiler.profilers.text_column_profile.TextColumn static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.is_match">is_match (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.is_match">is_match() (dataprofiler.data_readers.avro_data.AVROData class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.is_match">(dataprofiler.data_readers.base_data.BaseData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.is_match">(dataprofiler.data_readers.csv_data.CSVData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.is_match">(dataprofiler.data_readers.graph_data.GraphData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.is_match">(dataprofiler.data_readers.json_data.JSONData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.is_match">(dataprofiler.data_readers.parquet_data.ParquetData class method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.is_match">(dataprofiler.data_readers.text_data.TextData class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.is_numeric_stats_enabled">is_numeric_stats_enabled (dataprofiler.profilers.profiler_options.FloatOptions property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.is_numeric_stats_enabled">(dataprofiler.profilers.profiler_options.IntOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.is_numeric_stats_enabled">(dataprofiler.profilers.profiler_options.NumericalOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.is_numeric_stats_enabled">(dataprofiler.profilers.profiler_options.TextOptions property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.is_prop_enabled">is_prop_enabled() (dataprofiler.profilers.profiler_options.BaseInspectorOptions method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.CategoricalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.CorrelationOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.DataLabelerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.DateTimeOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.FloatOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.IntOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.NumericalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.OrderOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.TextOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.is_prop_enabled">(dataprofiler.profilers.profiler_options.TextProfilerOptions method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#dataprofiler.data_readers.filepath_or_buffer.is_stream_buffer">is_stream_buffer() (in module dataprofiler.data_readers.filepath_or_buffer)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.is_structured">is_structured (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.is_structured">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.is_structured">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.is_structured">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.is_structured">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.is_structured">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.is_structured">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.is_valid_url">is_valid_url() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.item_separator">item_separator (dataprofiler.profilers.json_encoder.ProfileEncoder attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.items">items() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.iterencode">iterencode() (dataprofiler.profilers.json_encoder.ProfileEncoder method)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="J" class="genindex-section">
+  <h2>J</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.json_to_dataframe">json_to_dataframe() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData">JSONData (class in dataprofiler.data_readers.json_data)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="K" class="genindex-section">
+  <h2>K</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder.key_separator">key_separator (dataprofiler.profilers.json_encoder.ProfileEncoder attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict">KeyDict (class in dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.keys">keys() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.kurtosis">kurtosis (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.kurtosis">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.kurtosis">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.kurtosis">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="L" class="genindex-section">
+  <h2>L</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.label_encoding">label_encoding (dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.label_mapping">label_mapping (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.label_mapping">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.label_mapping">(dataprofiler.labelers.base_model.BaseModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.label_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.label_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.label_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.label_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.label_mapping">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.label_mapping">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.label_mapping">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.label_representation">label_representation (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.labeler_classes">labeler_classes (dataprofiler.labelers.data_labelers.DataLabeler attribute)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.labels">labels (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.labels">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.labels">(dataprofiler.labelers.base_model.BaseModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.labels">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.labels">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.labels">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.labels">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.labels">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.labels">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.labels">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.length">length (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.length">(dataprofiler.data_readers.base_data.BaseData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.length">(dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.length">(dataprofiler.data_readers.graph_data.GraphData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.length">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.length">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.length">(dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.load">load() (dataprofiler.profilers.graph_profiler.GraphProfiler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.load">(dataprofiler.profilers.profile_builder.BaseProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.Profiler.load">(dataprofiler.profilers.profile_builder.Profiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.load">(dataprofiler.profilers.profile_builder.StructuredProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load">(dataprofiler.profilers.profile_builder.UnstructuredProfiler class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.load_as_str_from_file">load_as_str_from_file() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_column_profile">load_column_profile() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_compiler">load_compiler() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.load_from_dict">load_from_dict() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.load_from_dict">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.load_from_dict">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.BaseCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.load_from_dict">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.load_from_dict">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.load_from_dict">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.load_from_dict">(dataprofiler.profilers.float_column_profile.FloatColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.load_from_dict">(dataprofiler.profilers.int_column_profile.IntColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.load_from_dict">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.load_from_dict">(dataprofiler.profilers.order_column_profile.OrderColumn class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.BaseProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.StructuredColProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.StructuredProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.load_from_dict">(dataprofiler.profilers.profile_builder.UnstructuredProfiler class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.load_from_dict">(dataprofiler.profilers.profiler_options.BaseInspectorOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.load_from_dict">(dataprofiler.profilers.profiler_options.BaseOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.load_from_dict">(dataprofiler.profilers.profiler_options.BooleanOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.load_from_dict">(dataprofiler.profilers.profiler_options.CategoricalOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.load_from_dict">(dataprofiler.profilers.profiler_options.CorrelationOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.load_from_dict">(dataprofiler.profilers.profiler_options.DataLabelerOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.load_from_dict">(dataprofiler.profilers.profiler_options.DateTimeOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.load_from_dict">(dataprofiler.profilers.profiler_options.FloatOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.load_from_dict">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.load_from_dict">(dataprofiler.profilers.profiler_options.HyperLogLogOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.load_from_dict">(dataprofiler.profilers.profiler_options.IntOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.load_from_dict">(dataprofiler.profilers.profiler_options.ModeOption class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.load_from_dict">(dataprofiler.profilers.profiler_options.NumericalOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.load_from_dict">(dataprofiler.profilers.profiler_options.OrderOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.load_from_dict">(dataprofiler.profilers.profiler_options.PrecisionOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.load_from_dict">(dataprofiler.profilers.profiler_options.ProfilerOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.load_from_dict">(dataprofiler.profilers.profiler_options.RowStatisticsOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.load_from_dict">(dataprofiler.profilers.profiler_options.StructuredOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.load_from_dict">(dataprofiler.profilers.profiler_options.TextOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.load_from_dict">(dataprofiler.profilers.profiler_options.TextProfilerOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.load_from_dict">(dataprofiler.profilers.profiler_options.UniqueCountOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.load_from_dict">(dataprofiler.profilers.profiler_options.UnstructuredOptions class method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.load_from_dict">(dataprofiler.profilers.text_column_profile.TextColumn class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_disk">load_from_disk() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_disk">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.load_from_disk">(dataprofiler.labelers.base_model.BaseModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.load_from_disk">(dataprofiler.labelers.base_model.BaseTrainableModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.load_from_disk">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.load_from_disk">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.load_from_disk">(dataprofiler.labelers.column_name_model.ColumnNameModel class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.load_from_disk">(dataprofiler.labelers.data_labelers.DataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_disk">(dataprofiler.labelers.data_labelers.StructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_disk">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_disk">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_disk">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_disk">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_disk">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_disk">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.load_from_disk">(dataprofiler.labelers.regex_model.RegexModel class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_from_library">load_from_library() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_from_library">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.load_from_library">(dataprofiler.labelers.data_labelers.DataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_from_library">(dataprofiler.labelers.data_labelers.StructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_from_library">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.BaseDataPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.BaseDataPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.load_from_library">(dataprofiler.labelers.data_processing.BaseDataProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.CharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.CharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.DirectPassPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.load_from_library">(dataprofiler.labelers.data_processing.RegexPostProcessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.load_from_library">(dataprofiler.labelers.data_processing.StructCharPostprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.load_from_library">(dataprofiler.labelers.data_processing.StructCharPreprocessor class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.load_from_library">(dataprofiler.labelers.data_processing.StructRegexPostProcessor class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_option">load_option() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.load_own_variables">load_own_variables() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.load_own_variables">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_profiler">load_profiler() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_decoder.html#dataprofiler.profilers.json_decoder.load_structured_col_profiler">load_structured_col_profiler() (in module dataprofiler.profilers.json_decoder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.load_with_components">load_with_components() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.load_with_components">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.DataLabeler.load_with_components">(dataprofiler.labelers.data_labelers.DataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.load_with_components">(dataprofiler.labelers.data_labelers.StructuredDataLabeler class method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.load_with_components">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler class method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.losses">losses (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.losses">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="M" class="genindex-section">
+  <h2>M</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.match_count">match_count (dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.match_count">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.match_count">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.match_count">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.match_sentence_lengths">match_sentence_lengths() (dataprofiler.labelers.data_processing.CharPostprocessor static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.match_sentence_lengths">(dataprofiler.labelers.data_processing.StructCharPostprocessor static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.max">max (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.max_histogram_bin">max_histogram_bin (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.mean">mean (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.mean">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mean">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.mean">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.median">median (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.median">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.median">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.median_abs_deviation">median_abs_deviation (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.median_abs_deviation">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.median_abs_deviation">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.median_abs_deviation">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.merge">merge() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.merge_profile_list">merge_profile_list() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.merge_state">merge_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.merge_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.metadata">metadata (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.metadata">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.metadata">(dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.metadata">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.metadata">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.metadata">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.metadata">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.metadata">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.metadata">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.metadata">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.metadata">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.method_timeit">method_timeit() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.metrics">metrics (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.metrics">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.min">min (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.min_histogram_bin">min_histogram_bin (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.mode">mode (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.mode">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.mode">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.mode">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.model">model (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.model">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.model">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.model">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption">ModeOption (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li>
+    module
+
+        <ul>
+          <li><a href="dataprofiler.html#module-dataprofiler">dataprofiler</a>
+</li>
+          <li><a href="dataprofiler.data_readers.html#module-dataprofiler.data_readers">dataprofiler.data_readers</a>
+</li>
+          <li><a href="dataprofiler.data_readers.avro_data.html#module-dataprofiler.data_readers.avro_data">dataprofiler.data_readers.avro_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.base_data.html#module-dataprofiler.data_readers.base_data">dataprofiler.data_readers.base_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#module-dataprofiler.data_readers.csv_data">dataprofiler.data_readers.csv_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.data.html#module-dataprofiler.data_readers.data">dataprofiler.data_readers.data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.data_utils.html#module-dataprofiler.data_readers.data_utils">dataprofiler.data_readers.data_utils</a>
+</li>
+          <li><a href="dataprofiler.data_readers.filepath_or_buffer.html#module-dataprofiler.data_readers.filepath_or_buffer">dataprofiler.data_readers.filepath_or_buffer</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#module-dataprofiler.data_readers.graph_data">dataprofiler.data_readers.graph_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#module-dataprofiler.data_readers.json_data">dataprofiler.data_readers.json_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#module-dataprofiler.data_readers.parquet_data">dataprofiler.data_readers.parquet_data</a>
+</li>
+          <li><a href="dataprofiler.data_readers.structured_mixins.html#module-dataprofiler.data_readers.structured_mixins">dataprofiler.data_readers.structured_mixins</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#module-dataprofiler.data_readers.text_data">dataprofiler.data_readers.text_data</a>
+</li>
+          <li><a href="dataprofiler.dp_logging.html#module-dataprofiler.dp_logging">dataprofiler.dp_logging</a>
+</li>
+          <li><a href="dataprofiler.labelers.html#module-dataprofiler.labelers">dataprofiler.labelers</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#module-dataprofiler.labelers.base_data_labeler">dataprofiler.labelers.base_data_labeler</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#module-dataprofiler.labelers.base_model">dataprofiler.labelers.base_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#module-dataprofiler.labelers.char_load_tf_model">dataprofiler.labelers.char_load_tf_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#module-dataprofiler.labelers.character_level_cnn_model">dataprofiler.labelers.character_level_cnn_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.classification_report_utils.html#module-dataprofiler.labelers.classification_report_utils">dataprofiler.labelers.classification_report_utils</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#module-dataprofiler.labelers.column_name_model">dataprofiler.labelers.column_name_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#module-dataprofiler.labelers.data_labelers">dataprofiler.labelers.data_labelers</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#module-dataprofiler.labelers.data_processing">dataprofiler.labelers.data_processing</a>
+</li>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#module-dataprofiler.labelers.labeler_utils">dataprofiler.labelers.labeler_utils</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#module-dataprofiler.labelers.regex_model">dataprofiler.labelers.regex_model</a>
+</li>
+          <li><a href="dataprofiler.labelers.utils.html#module-dataprofiler.labelers.utils">dataprofiler.labelers.utils</a>
+</li>
+          <li><a href="dataprofiler.profilers.html#module-dataprofiler.profilers">dataprofiler.profilers</a>
+</li>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#module-dataprofiler.profilers.base_column_profilers">dataprofiler.profilers.base_column_profilers</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#module-dataprofiler.profilers.categorical_column_profile">dataprofiler.profilers.categorical_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#module-dataprofiler.profilers.column_profile_compilers">dataprofiler.profilers.column_profile_compilers</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#module-dataprofiler.profilers.data_labeler_column_profile">dataprofiler.profilers.data_labeler_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#module-dataprofiler.profilers.datetime_column_profile">dataprofiler.profilers.datetime_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#module-dataprofiler.profilers.float_column_profile">dataprofiler.profilers.float_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#module-dataprofiler.profilers.graph_profiler">dataprofiler.profilers.graph_profiler</a>
+</li>
+          <li><a href="dataprofiler.profilers.helpers.html#module-dataprofiler.profilers.helpers">dataprofiler.profilers.helpers</a>
+</li>
+          <li><a href="dataprofiler.profilers.helpers.report_helpers.html#module-dataprofiler.profilers.helpers.report_helpers">dataprofiler.profilers.helpers.report_helpers</a>
+</li>
+          <li><a href="dataprofiler.profilers.histogram_utils.html#module-dataprofiler.profilers.histogram_utils">dataprofiler.profilers.histogram_utils</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#module-dataprofiler.profilers.int_column_profile">dataprofiler.profilers.int_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.json_decoder.html#module-dataprofiler.profilers.json_decoder">dataprofiler.profilers.json_decoder</a>
+</li>
+          <li><a href="dataprofiler.profilers.json_encoder.html#module-dataprofiler.profilers.json_encoder">dataprofiler.profilers.json_encoder</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#module-dataprofiler.profilers.numerical_column_stats">dataprofiler.profilers.numerical_column_stats</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#module-dataprofiler.profilers.order_column_profile">dataprofiler.profilers.order_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#module-dataprofiler.profilers.profile_builder">dataprofiler.profilers.profile_builder</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#module-dataprofiler.profilers.profiler_options">dataprofiler.profilers.profiler_options</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_utils.html#module-dataprofiler.profilers.profiler_utils">dataprofiler.profilers.profiler_utils</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#module-dataprofiler.profilers.text_column_profile">dataprofiler.profilers.text_column_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#module-dataprofiler.profilers.unstructured_labeler_profile">dataprofiler.profilers.unstructured_labeler_profile</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#module-dataprofiler.profilers.unstructured_text_profile">dataprofiler.profilers.unstructured_text_profile</a>
+</li>
+          <li><a href="dataprofiler.reports.html#module-dataprofiler.reports">dataprofiler.reports</a>
+</li>
+          <li><a href="dataprofiler.reports.graphs.html#module-dataprofiler.reports.graphs">dataprofiler.reports.graphs</a>
+</li>
+          <li><a href="dataprofiler.reports.utils.html#module-dataprofiler.reports.utils">dataprofiler.reports.utils</a>
+</li>
+          <li><a href="dataprofiler.rng_utils.html#module-dataprofiler.rng_utils">dataprofiler.rng_utils</a>
+</li>
+          <li><a href="dataprofiler.settings.html#module-dataprofiler.settings">dataprofiler.settings</a>
+</li>
+          <li><a href="dataprofiler.validators.html#module-dataprofiler.validators">dataprofiler.validators</a>
+</li>
+          <li><a href="dataprofiler.validators.base_validators.html#module-dataprofiler.validators.base_validators">dataprofiler.validators.base_validators</a>
+</li>
+          <li><a href="dataprofiler.version.html#module-dataprofiler.version">dataprofiler.version</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.mro">mro() (dataprofiler.labelers.base_model.AutoSubRegistrationMeta method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.mro">(dataprofiler.labelers.data_processing.AutoSubRegistrationMeta method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="N" class="genindex-section">
+  <h2>N</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.name">name (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.name">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.name">(dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.name">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.name">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.name">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.name">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.name">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.name">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.name">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.name">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.name_scope">name_scope (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.name_scope">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_variables">non_trainable_variables (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_variables">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.non_trainable_weights">non_trainable_weights (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.non_trainable_weights">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.np_type_to_type">np_type_to_type() (dataprofiler.profilers.float_column_profile.FloatColumn static method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.np_type_to_type">(dataprofiler.profilers.int_column_profile.IntColumn static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.np_type_to_type">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin static method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.np_type_to_type">(dataprofiler.profilers.text_column_profile.TextColumn static method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.num_labels">num_labels (dataprofiler.labelers.base_model.BaseModel property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.num_labels">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.num_labels">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.num_labels">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.num_labels">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.num_labels">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.num_negatives">num_negatives (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.num_zeros">num_zeros (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions">NumericalOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin">NumericStatsMixin (class in dataprofiler.profilers.numerical_column_stats)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="O" class="genindex-section">
+  <h2>O</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.options">options (dataprofiler.data_readers.csv_data.CSVData attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.options">(dataprofiler.data_readers.graph_data.GraphData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.options">(dataprofiler.data_readers.json_data.JSONData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.options">(dataprofiler.data_readers.parquet_data.ParquetData attribute)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.options">(dataprofiler.data_readers.text_data.TextData attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn">OrderColumn (class in dataprofiler.profilers.order_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions">OrderOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.outbound_nodes">outbound_nodes (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.outbound_nodes">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.output">output (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.output">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.output_mask">output_mask (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.output_mask">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.output_shape">output_shape (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.output_shape">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.overlap">overlap() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="P" class="genindex-section">
+  <h2>P</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData">ParquetData (class in dataprofiler.data_readers.parquet_data)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.partition">partition() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.perform_chi_squared_test_for_homogeneity">perform_chi_squared_test_for_homogeneity() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.pop">pop() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.popitem">popitem() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.possible_data_labels">possible_data_labels (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.postprocessor">postprocessor (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.postprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.postprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.postprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.precision">precision (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.classification_report_utils.html#dataprofiler.labelers.classification_report_utils.precision_recall_fscore_support">precision_recall_fscore_support() (in module dataprofiler.labelers.classification_report_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions">PrecisionOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.predict">predict() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.predict">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.predict">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.predict">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.predict">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.predict">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.predict">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.predict">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.predict">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.predict">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.preprocessor">preprocessor (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.preprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.preprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.preprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.priority_prediction">priority_prediction() (dataprofiler.labelers.data_processing.RegexPostProcessor static method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.process">process() (dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.process">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.process">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.process">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.process">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.process">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.process">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.process">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.process">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.process">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.process">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.process">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.processor_type">processor_type (dataprofiler.labelers.data_processing.BaseDataPostprocessor attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.processor_type">(dataprofiler.labelers.data_processing.BaseDataPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.processor_type">(dataprofiler.labelers.data_processing.BaseDataProcessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.processor_type">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.processor_type">(dataprofiler.labelers.data_processing.CharPostprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.processor_type">(dataprofiler.labelers.data_processing.CharPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.processor_type">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.processor_type">(dataprofiler.labelers.data_processing.DirectPassPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.processor_type">(dataprofiler.labelers.data_processing.RegexPostProcessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.processor_type">(dataprofiler.labelers.data_processing.StructCharPostprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.processor_type">(dataprofiler.labelers.data_processing.StructCharPreprocessor attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.processor_type">(dataprofiler.labelers.data_processing.StructRegexPostProcessor attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.profile">profile (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.profile">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.profile">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.profile">(dataprofiler.profilers.column_profile_compilers.BaseCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.profile">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.profile">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.profile">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.profile">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.profile">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.profile">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.profile">(dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.profile">(dataprofiler.profilers.graph_profiler.GraphProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.profile">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.profile">(dataprofiler.profilers.order_column_profile.OrderColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.profile">(dataprofiler.profilers.profile_builder.BaseProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.profile">(dataprofiler.profilers.profile_builder.StructuredColProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.profile">(dataprofiler.profilers.profile_builder.StructuredProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.profile">(dataprofiler.profilers.profile_builder.UnstructuredProfiler property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.profile">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.profile">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.profile">(dataprofiler.profilers.unstructured_text_profile.TextProfiler property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.profile">profile() (dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.json_encoder.html#dataprofiler.profilers.json_encoder.ProfileEncoder">ProfileEncoder (class in dataprofiler.profilers.json_encoder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.Profiler">Profiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions">ProfilerOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.properties">properties (dataprofiler.profilers.profiler_options.BaseInspectorOptions property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.properties">(dataprofiler.profilers.profiler_options.BaseOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.properties">(dataprofiler.profilers.profiler_options.BooleanOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.properties">(dataprofiler.profilers.profiler_options.CategoricalOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.properties">(dataprofiler.profilers.profiler_options.CorrelationOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.properties">(dataprofiler.profilers.profiler_options.DataLabelerOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.properties">(dataprofiler.profilers.profiler_options.DateTimeOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.properties">(dataprofiler.profilers.profiler_options.FloatOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.properties">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.properties">(dataprofiler.profilers.profiler_options.HyperLogLogOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.properties">(dataprofiler.profilers.profiler_options.IntOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.properties">(dataprofiler.profilers.profiler_options.ModeOption property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.properties">(dataprofiler.profilers.profiler_options.NumericalOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.properties">(dataprofiler.profilers.profiler_options.OrderOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.properties">(dataprofiler.profilers.profiler_options.PrecisionOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.properties">(dataprofiler.profilers.profiler_options.ProfilerOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.properties">(dataprofiler.profilers.profiler_options.RowStatisticsOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.properties">(dataprofiler.profilers.profiler_options.StructuredOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.properties">(dataprofiler.profilers.profiler_options.TextOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.properties">(dataprofiler.profilers.profiler_options.TextProfilerOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.properties">(dataprofiler.profilers.profiler_options.UniqueCountOptions property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.properties">(dataprofiler.profilers.profiler_options.UnstructuredOptions property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.protected_register_keras_serializable">protected_register_keras_serializable() (in module dataprofiler.labelers.labeler_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="Q" class="genindex-section">
+  <h2>Q</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.quantiles">quantiles (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.quotechar">quotechar (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="R" class="genindex-section">
+  <h2>R</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.rank_distribution">rank_distribution (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_csv_df">read_csv_df() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_json">read_json() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_json_df">read_json_df() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_parquet_df">read_parquet_df() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.read_text_as_list_of_strs">read_text_as_list_of_strs() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.recursive_dict_update">recursive_dict_update() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel">RegexModel (class in dataprofiler.labelers.regex_model)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor">RegexPostProcessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.AutoSubRegistrationMeta.register">register() (dataprofiler.labelers.base_model.AutoSubRegistrationMeta method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.AutoSubRegistrationMeta.register">(dataprofiler.labelers.data_processing.AutoSubRegistrationMeta method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.reload">reload() (dataprofiler.data_readers.avro_data.AVROData method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.base_data.html#dataprofiler.data_readers.base_data.BaseData.reload">(dataprofiler.data_readers.base_data.BaseData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.reload">(dataprofiler.data_readers.csv_data.CSVData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.graph_data.html#dataprofiler.data_readers.graph_data.GraphData.reload">(dataprofiler.data_readers.graph_data.GraphData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.reload">(dataprofiler.data_readers.json_data.JSONData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.reload">(dataprofiler.data_readers.parquet_data.ParquetData method)</a>
+</li>
+          <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.reload">(dataprofiler.data_readers.text_data.TextData method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.reload_labeler_from_options_or_get_new">reload_labeler_from_options_or_get_new() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.report">report() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.report">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.report">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.report">(dataprofiler.profilers.column_profile_compilers.BaseCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.report">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.report">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.report">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.report">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.report">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.report">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.report">(dataprofiler.profilers.float_column_profile.FloatColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.report">(dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.report">(dataprofiler.profilers.int_column_profile.IntColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.report">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.report">(dataprofiler.profilers.order_column_profile.OrderColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.report">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.report">(dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.report">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.report">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.report">(dataprofiler.profilers.text_column_profile.TextColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.report">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.report">(dataprofiler.profilers.unstructured_text_profile.TextProfiler method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.utils.html#dataprofiler.labelers.utils.require_module">require_module() (in module dataprofiler.labelers.utils)</a>
+
+        <ul>
+          <li><a href="dataprofiler.reports.utils.html#dataprofiler.reports.utils.require_module">(in module dataprofiler.reports.utils)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.requires_zero_mapping">requires_zero_mapping (dataprofiler.labelers.base_model.BaseModel attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.requires_zero_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.requires_zero_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.requires_zero_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.requires_zero_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel attribute)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.requires_zero_mapping">(dataprofiler.labelers.regex_model.RegexModel attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.reservoir">reservoir() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.reset_state">reset_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.reset_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.reset_states">reset_states() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.reset_states">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.reset_weights">reset_weights() (dataprofiler.labelers.base_model.BaseModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.reset_weights">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reset_weights">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reset_weights">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.reset_weights">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.reset_weights">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.result">result() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.result">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.reverse_label_mapping">reverse_label_mapping (dataprofiler.labelers.base_data_labeler.BaseDataLabeler property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.reverse_label_mapping">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.reverse_label_mapping">(dataprofiler.labelers.base_model.BaseModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.reverse_label_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.reverse_label_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.reverse_label_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.reverse_label_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.reverse_label_mapping">(dataprofiler.labelers.data_labelers.StructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.reverse_label_mapping">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler property)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.reverse_label_mapping">(dataprofiler.labelers.regex_model.RegexModel property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.reverse_label_mapping">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions">RowStatisticsOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.rsample">rsample() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="S" class="genindex-section">
+  <h2>S</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.sample_nrows">sample_nrows (dataprofiler.data_readers.csv_data.CSVData property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.sample_size">sample_size (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.sample_size">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sample_size">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.sample_size">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.sample_size">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.sample_size">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.sample_size">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.sample_size">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.sample_size">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.samples_per_line">samples_per_line (dataprofiler.data_readers.text_data.TextData property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.save">save() (dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.save">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.save">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.save">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.save_own_variables">save_own_variables() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.save_own_variables">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.save_to_disk">save_to_disk() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.save_to_disk">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.save_to_disk">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.save_to_disk">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.save_to_disk">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.save_to_disk">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.save_to_disk">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.save_to_disk">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.save_to_disk">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.save_to_disk">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.save_to_disk">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.save_to_disk">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.save_to_disk">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.save_to_disk">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.save_to_disk">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.csv_data.html#dataprofiler.data_readers.csv_data.CSVData.selected_columns">selected_columns (dataprofiler.data_readers.csv_data.CSVData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.parquet_data.html#dataprofiler.data_readers.parquet_data.ParquetData.selected_columns">(dataprofiler.data_readers.parquet_data.ParquetData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.selected_data_type">selected_data_type (dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.avro_data.html#dataprofiler.data_readers.avro_data.AVROData.selected_keys">selected_keys (dataprofiler.data_readers.avro_data.AVROData property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.data_readers.json_data.html#dataprofiler.data_readers.json_data.JSONData.selected_keys">(dataprofiler.data_readers.json_data.JSONData property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.set">set() (dataprofiler.profilers.profiler_options.BaseInspectorOptions method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.set">(dataprofiler.profilers.profiler_options.BaseOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.set">(dataprofiler.profilers.profiler_options.BooleanOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.set">(dataprofiler.profilers.profiler_options.CategoricalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.set">(dataprofiler.profilers.profiler_options.CorrelationOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.set">(dataprofiler.profilers.profiler_options.DataLabelerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.set">(dataprofiler.profilers.profiler_options.DateTimeOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.set">(dataprofiler.profilers.profiler_options.FloatOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.set">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.set">(dataprofiler.profilers.profiler_options.HyperLogLogOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.set">(dataprofiler.profilers.profiler_options.IntOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.set">(dataprofiler.profilers.profiler_options.ModeOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.set">(dataprofiler.profilers.profiler_options.NumericalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.set">(dataprofiler.profilers.profiler_options.OrderOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.set">(dataprofiler.profilers.profiler_options.PrecisionOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.set">(dataprofiler.profilers.profiler_options.ProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.set">(dataprofiler.profilers.profiler_options.RowStatisticsOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.set">(dataprofiler.profilers.profiler_options.StructuredOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.set">(dataprofiler.profilers.profiler_options.TextOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.set">(dataprofiler.profilers.profiler_options.TextProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.set">(dataprofiler.profilers.profiler_options.UniqueCountOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.set">(dataprofiler.profilers.profiler_options.UnstructuredOptions method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.set_label_mapping">set_label_mapping() (dataprofiler.labelers.base_model.BaseModel method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.set_label_mapping">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_label_mapping">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_label_mapping">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.set_label_mapping">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.set_label_mapping">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_labels">set_labels() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_labels">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_labels">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_labels">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_model">set_model() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_model">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_model">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_model">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_params">set_params() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_params">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseModel.set_params">(dataprofiler.labelers.base_model.BaseModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.base_model.html#dataprofiler.labelers.base_model.BaseTrainableModel.set_params">(dataprofiler.labelers.base_model.BaseTrainableModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.char_load_tf_model.html#dataprofiler.labelers.char_load_tf_model.CharLoadTFModel.set_params">(dataprofiler.labelers.char_load_tf_model.CharLoadTFModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.character_level_cnn_model.html#dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel.set_params">(dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.column_name_model.html#dataprofiler.labelers.column_name_model.ColumnNameModel.set_params">(dataprofiler.labelers.column_name_model.ColumnNameModel method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_params">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_params">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPostprocessor.set_params">(dataprofiler.labelers.data_processing.BaseDataPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataPreprocessor.set_params">(dataprofiler.labelers.data_processing.BaseDataPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.BaseDataProcessor.set_params">(dataprofiler.labelers.data_processing.BaseDataProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharEncodedPreprocessor.set_params">(dataprofiler.labelers.data_processing.CharEncodedPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPostprocessor.set_params">(dataprofiler.labelers.data_processing.CharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.CharPreprocessor.set_params">(dataprofiler.labelers.data_processing.CharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor.set_params">(dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.DirectPassPreprocessor.set_params">(dataprofiler.labelers.data_processing.DirectPassPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.set_params">(dataprofiler.labelers.data_processing.RegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor.set_params">(dataprofiler.labelers.data_processing.StructCharPostprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor.set_params">(dataprofiler.labelers.data_processing.StructCharPreprocessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor.set_params">(dataprofiler.labelers.data_processing.StructRegexPostProcessor method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.regex_model.html#dataprofiler.labelers.regex_model.RegexModel.set_params">(dataprofiler.labelers.regex_model.RegexModel method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_postprocessor">set_postprocessor() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_postprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_postprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_postprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.BaseDataLabeler.set_preprocessor">set_preprocessor() (dataprofiler.labelers.base_data_labeler.BaseDataLabeler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler.set_preprocessor">(dataprofiler.labelers.base_data_labeler.TrainableDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler.set_preprocessor">(dataprofiler.labelers.data_labelers.StructuredDataLabeler method)</a>
+</li>
+          <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler.set_preprocessor">(dataprofiler.labelers.data_labelers.UnstructuredDataLabeler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.html#dataprofiler.set_seed">set_seed() (in module dataprofiler)</a>
+</li>
+        <li><a href="dataprofiler.dp_logging.html#dataprofiler.dp_logging.set_verbosity">set_verbosity() (in module dataprofiler.dp_logging)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.set_weights">set_weights() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.set_weights">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.setdefault">setdefault() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.shuffle_in_chunks">shuffle_in_chunks() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.skewness">skewness (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.skewness">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.skewness">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.skewness">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.RegexPostProcessor.split_prediction">split_prediction() (dataprofiler.labelers.data_processing.RegexPostProcessor static method)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.structured_mixins.html#dataprofiler.data_readers.structured_mixins.SpreadSheetDataMixin">SpreadSheetDataMixin (class in dataprofiler.data_readers.structured_mixins)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.stateful">stateful (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.stateful">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.stddev">stddev (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.stddev">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.stddev">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.stddev">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPostprocessor">StructCharPostprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructCharPreprocessor">StructCharPreprocessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_processing.html#dataprofiler.labelers.data_processing.StructRegexPostProcessor">StructRegexPostProcessor (class in dataprofiler.labelers.data_processing)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler">StructuredColProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.StructuredDataLabeler">StructuredDataLabeler (class in dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions">StructuredOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler">StructuredProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.submodules">submodules (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.submodules">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.Subtractable">Subtractable (class in dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.suggest_pool_size">suggest_pool_size() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.sum">sum (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.sum_predictions">sum_predictions (dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn property)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.supports_masking">supports_masking (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.supports_masking">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="T" class="genindex-section">
+  <h2>T</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn">TextColumn (class in dataprofiler.profilers.text_column_profile)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData">TextData (class in dataprofiler.data_readers.text_data)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions">TextOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler">TextProfiler (class in dataprofiler.profilers.unstructured_text_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions">TextProfilerOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.thread_safe">thread_safe (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.thread_safe">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.thread_safe">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.thread_safe">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.thread_safe">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.thread_safe">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.thread_safe">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.thread_safe">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.thread_safe">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.times">times (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.times">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.times">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.times">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.times">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.times">(dataprofiler.profilers.graph_profiler.GraphProfiler attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.times">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.times">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.times">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.times">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.data_readers.text_data.html#dataprofiler.data_readers.text_data.TextData.tokenize">tokenize() (dataprofiler.data_readers.text_data.TextData method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.train_structured_labeler">train_structured_labeler() (in module dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.trainable">trainable (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.trainable">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.trainable_variables">trainable_variables (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_variables">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.trainable_weights">trainable_weights (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.trainable_weights">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.base_data_labeler.html#dataprofiler.labelers.base_data_labeler.TrainableDataLabeler">TrainableDataLabeler (class in dataprofiler.labelers.base_data_labeler)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.type">type (dataprofiler.profilers.categorical_column_profile.CategoricalColumn attribute)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.type">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.type">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.type">(dataprofiler.profilers.float_column_profile.FloatColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.type">(dataprofiler.profilers.int_column_profile.IntColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.type">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.type">(dataprofiler.profilers.order_column_profile.OrderColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.type">(dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.type">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile attribute)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.type">(dataprofiler.profilers.unstructured_text_profile.TextProfiler attribute)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="U" class="genindex-section">
+  <h2>U</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unalikeability">unalikeability (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.unicode_to_str">unicode_to_str() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_count">unique_count (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.unique_ratio">unique_ratio (dataprofiler.profilers.categorical_column_profile.CategoricalColumn property)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions">UniqueCountOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler">UnstructuredCompiler (class in dataprofiler.profilers.column_profile_compilers)</a>
+</li>
+        <li><a href="dataprofiler.labelers.data_labelers.html#dataprofiler.labelers.data_labelers.UnstructuredDataLabeler">UnstructuredDataLabeler (class in dataprofiler.labelers.data_labelers)</a>
+</li>
+        <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile">UnstructuredLabelerProfile (class in dataprofiler.profilers.unstructured_labeler_profile)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions">UnstructuredOptions (class in dataprofiler.profilers.profiler_options)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler">UnstructuredProfiler (class in dataprofiler.profilers.profile_builder)</a>
+</li>
+        <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler.update">update() (dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.base_column_profilers.html#dataprofiler.profilers.base_column_profilers.BaseColumnProfiler.update">(dataprofiler.profilers.base_column_profilers.BaseColumnProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.categorical_column_profile.html#dataprofiler.profilers.categorical_column_profile.CategoricalColumn.update">(dataprofiler.profilers.categorical_column_profile.CategoricalColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.data_labeler_column_profile.html#dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn.update">(dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.datetime_column_profile.html#dataprofiler.profilers.datetime_column_profile.DateTimeColumn.update">(dataprofiler.profilers.datetime_column_profile.DateTimeColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.update">(dataprofiler.profilers.float_column_profile.FloatColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.graph_profiler.html#dataprofiler.profilers.graph_profiler.GraphProfiler.update">(dataprofiler.profilers.graph_profiler.GraphProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.update">(dataprofiler.profilers.int_column_profile.IntColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.update">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.order_column_profile.html#dataprofiler.profilers.order_column_profile.OrderColumn.update">(dataprofiler.profilers.order_column_profile.OrderColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.update">(dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.update">(dataprofiler.profilers.text_column_profile.TextColumn method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_labeler_profile.html#dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile.update">(dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.unstructured_text_profile.html#dataprofiler.profilers.unstructured_text_profile.TextProfiler.update">(dataprofiler.profilers.unstructured_text_profile.TextProfiler method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_column_profilers">update_column_profilers() (dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+        <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.BaseCompiler.update_profile">update_profile() (dataprofiler.profilers.column_profile_compilers.BaseCompiler method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.column_profile_compilers.html#dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler.update_profile">(dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.BaseProfiler.update_profile">(dataprofiler.profilers.profile_builder.BaseProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredColProfiler.update_profile">(dataprofiler.profilers.profile_builder.StructuredColProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.StructuredProfiler.update_profile">(dataprofiler.profilers.profile_builder.StructuredProfiler method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profile_builder.html#dataprofiler.profilers.profile_builder.UnstructuredProfiler.update_profile">(dataprofiler.profilers.profile_builder.UnstructuredProfiler method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.update_state">update_state() (dataprofiler.labelers.labeler_utils.F1Score method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.update_state">(dataprofiler.labelers.labeler_utils.FBetaScore method)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.updates">updates (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.updates">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.data_readers.data_utils.html#dataprofiler.data_readers.data_utils.url_to_bytes">url_to_bytes() (in module dataprofiler.data_readers.data_utils)</a>
+</li>
+        <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.user_set_histogram_bin">user_set_histogram_bin (dataprofiler.profilers.text_column_profile.TextColumn attribute)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="V" class="genindex-section">
+  <h2>V</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseInspectorOptions.validate">validate() (dataprofiler.profilers.profiler_options.BaseInspectorOptions method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BaseOption.validate">(dataprofiler.profilers.profiler_options.BaseOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.BooleanOption.validate">(dataprofiler.profilers.profiler_options.BooleanOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CategoricalOptions.validate">(dataprofiler.profilers.profiler_options.CategoricalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.CorrelationOptions.validate">(dataprofiler.profilers.profiler_options.CorrelationOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DataLabelerOptions.validate">(dataprofiler.profilers.profiler_options.DataLabelerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.DateTimeOptions.validate">(dataprofiler.profilers.profiler_options.DateTimeOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.FloatOptions.validate">(dataprofiler.profilers.profiler_options.FloatOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption.validate">(dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.HyperLogLogOptions.validate">(dataprofiler.profilers.profiler_options.HyperLogLogOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.IntOptions.validate">(dataprofiler.profilers.profiler_options.IntOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ModeOption.validate">(dataprofiler.profilers.profiler_options.ModeOption method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.NumericalOptions.validate">(dataprofiler.profilers.profiler_options.NumericalOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.OrderOptions.validate">(dataprofiler.profilers.profiler_options.OrderOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.PrecisionOptions.validate">(dataprofiler.profilers.profiler_options.PrecisionOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.ProfilerOptions.validate">(dataprofiler.profilers.profiler_options.ProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.RowStatisticsOptions.validate">(dataprofiler.profilers.profiler_options.RowStatisticsOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.StructuredOptions.validate">(dataprofiler.profilers.profiler_options.StructuredOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextOptions.validate">(dataprofiler.profilers.profiler_options.TextOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.TextProfilerOptions.validate">(dataprofiler.profilers.profiler_options.TextProfilerOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UniqueCountOptions.validate">(dataprofiler.profilers.profiler_options.UniqueCountOptions method)</a>
+</li>
+          <li><a href="dataprofiler.profilers.profiler_options.html#dataprofiler.profilers.profiler_options.UnstructuredOptions.validate">(dataprofiler.profilers.profiler_options.UnstructuredOptions method)</a>
+</li>
+          <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.Validator.validate">(dataprofiler.validators.base_validators.Validator method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.validators.base_validators.html#dataprofiler.validators.base_validators.Validator">Validator (class in dataprofiler.validators.base_validators)</a>
+</li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.KeyDict.values">values() (dataprofiler.profilers.profiler_utils.KeyDict method)</a>
+</li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.variable_dtype">variable_dtype (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.variable_dtype">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.variables">variables (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.variables">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.float_column_profile.html#dataprofiler.profilers.float_column_profile.FloatColumn.variance">variance (dataprofiler.profilers.float_column_profile.FloatColumn property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.profilers.int_column_profile.html#dataprofiler.profilers.int_column_profile.IntColumn.variance">(dataprofiler.profilers.int_column_profile.IntColumn property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.numerical_column_stats.html#dataprofiler.profilers.numerical_column_stats.NumericStatsMixin.variance">(dataprofiler.profilers.numerical_column_stats.NumericStatsMixin property)</a>
+</li>
+          <li><a href="dataprofiler.profilers.text_column_profile.html#dataprofiler.profilers.text_column_profile.TextColumn.variance">(dataprofiler.profilers.text_column_profile.TextColumn property)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="W" class="genindex-section">
+  <h2>W</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.utils.html#dataprofiler.labelers.utils.warn_missing_module">warn_missing_module() (in module dataprofiler.labelers.utils)</a>
+
+        <ul>
+          <li><a href="dataprofiler.reports.utils.html#dataprofiler.reports.utils.warn_missing_module">(in module dataprofiler.reports.utils)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.profilers.profiler_utils.html#dataprofiler.profilers.profiler_utils.warn_on_profile">warn_on_profile() (in module dataprofiler.profilers.profiler_utils)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.weights">weights (dataprofiler.labelers.labeler_utils.F1Score property)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.weights">(dataprofiler.labelers.labeler_utils.FBetaScore property)</a>
+</li>
+        </ul></li>
+        <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.F1Score.with_name_scope">with_name_scope() (dataprofiler.labelers.labeler_utils.F1Score class method)</a>
+
+        <ul>
+          <li><a href="dataprofiler.labelers.labeler_utils.html#dataprofiler.labelers.labeler_utils.FBetaScore.with_name_scope">(dataprofiler.labelers.labeler_utils.FBetaScore class method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/graph_data_demo.html b/docs/0.10.3/html/graph_data_demo.html
new file mode 100644
index 000000000..469a59647
--- /dev/null
+++ b/docs/0.10.3/html/graph_data_demo.html
@@ -0,0 +1,708 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Sensitive Data Detection with the Labeler" href="labeler.html" /><link rel="prev" title="Unstructured Profilers" href="unstructured_profiler_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graph Pipeline Demo - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/graph_data_demo.nblink">View this notebook on GitHub</a></p>
+<section id="Graph-Pipeline-Demo">
+<h1>Graph Pipeline Demo<a class="headerlink" href="#Graph-Pipeline-Demo" title="Permalink to this headline">¶</a></h1>
+<p>DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components: - GraphData - GraphProfiler</p>
+<p>We will demo the use of this graph pipeline.</p>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import pprint
+
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+except ImportError:
+    import dataprofiler as dp
+
+data_path = "../dataprofiler/tests/data"
+</pre></div>
+</div>
+</div>
+<p>We now input our dataset into the generic DataProfiler pipeline:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(os.path.join(data_path, "csv/graph_data_csv_identify.csv"))
+profile = dp.Profiler(data)
+
+report = profile.report()
+
+pp = pprint.PrettyPrinter(sort_dicts=False, compact=True)
+pp.pprint(report)
+</pre></div>
+</div>
+</div>
+<p>We notice that the <code class="docutils literal notranslate"><span class="pre">Data</span></code> class automatically detected the input file as graph data. The <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> class is able to differentiate between tabular and graph csv data. After <code class="docutils literal notranslate"><span class="pre">Data</span></code> matches the input file as graph data, <code class="docutils literal notranslate"><span class="pre">GraphData</span></code> does the necessary work to load the csv data into a NetworkX Graph.</p>
+<p><code class="docutils literal notranslate"><span class="pre">Profiler</span></code> runs <code class="docutils literal notranslate"><span class="pre">GraphProfiler</span></code> when graph data is input (or when <code class="docutils literal notranslate"><span class="pre">data_type="graph"</span></code> is specified). The <code class="docutils literal notranslate"><span class="pre">report()</span></code> function outputs the profile for the user.</p>
+<section id="Profile">
+<h2>Profile<a class="headerlink" href="#Profile" title="Permalink to this headline">¶</a></h2>
+<p>The profile skeleton looks like this:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>profile = {
+    "num_nodes": ...,
+    "num_edges": ...,
+    "categorical_attributes": ...,
+    "continuous_attributes": ...,
+    "avg_node_degree": ...,
+    "global_max_component_size": ...,
+    "continuous_distribution": ...,
+    "categorical_distribution": ...,
+    "times": ...,
+}
+</pre></div>
+</div>
+<p>Description of properties in profile: - <code class="docutils literal notranslate"><span class="pre">num_nodes</span></code>: number of nodes in the graph - <code class="docutils literal notranslate"><span class="pre">num_edges</span></code>: number of edges in the graph - <code class="docutils literal notranslate"><span class="pre">categorical_attributes</span></code>: list of categorical edge attributes - <code class="docutils literal notranslate"><span class="pre">continuous_attributes</span></code>: list of continuous edge attributes - <code class="docutils literal notranslate"><span class="pre">avg_node_degree</span></code>: average degree of nodes in the graph - <code class="docutils literal notranslate"><span class="pre">global_max_component_size</span></code>: size of largest global max component in the graph - <code class="docutils literal notranslate"><span class="pre">continuous_distribution</span></code>: dictionary of statistical properties for each continuous attribute
+- <code class="docutils literal notranslate"><span class="pre">categorical_distribution</span></code>: dictionary of statistical properties for each categorical attribute</p>
+<p>The <code class="docutils literal notranslate"><span class="pre">continuous_distribution</span></code> and <code class="docutils literal notranslate"><span class="pre">categorical_distribution</span></code> dictionaries list statistical properties for each edge attribute in the graph:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>continuous_distribution = {
+    "name": ...,
+    "scale": ...,
+    "properties": ...,
+}
+</pre></div>
+</div>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>categorical_distribution = {
+    "bin_counts": ...,
+    "bin_edges": ...,
+}
+</pre></div>
+</div>
+<p>Description of each attribute: - Continuous distribution: - <code class="docutils literal notranslate"><span class="pre">name</span></code>: name of the distribution - <code class="docutils literal notranslate"><span class="pre">scale</span></code>: negative log likelihood used to scale distributions and compare them in <code class="docutils literal notranslate"><span class="pre">GraphProfiler</span></code> - <code class="docutils literal notranslate"><span class="pre">properties</span></code>: list of distribution props - Categorical distribution: - <code class="docutils literal notranslate"><span class="pre">bin_counts</span></code>: histogram bin counts - <code class="docutils literal notranslate"><span class="pre">bin_edges</span></code>: histogram bin edges</p>
+<p><code class="docutils literal notranslate"><span class="pre">properties</span></code> lists the following distribution properties: [optional: shape, loc, scale, mean, variance, skew, kurtosis]. The list can be either 6 length or 7 length depending on the distribution (extra shape parameter): - 6 length: norm, uniform, expon, logistic - 7 length: gamma, lognorm - gamma: shape=<code class="docutils literal notranslate"><span class="pre">a</span></code> (float) - lognorm: shape=<code class="docutils literal notranslate"><span class="pre">s</span></code> (float)</p>
+<p>For more information on shape parameters <code class="docutils literal notranslate"><span class="pre">a</span></code> and <code class="docutils literal notranslate"><span class="pre">s</span></code>: <a class="reference external" href="https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters">https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters</a></p>
+</section>
+<section id="Saving-and-Loading-a-Profile">
+<h2>Saving and Loading a Profile<a class="headerlink" href="#Saving-and-Loading-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>Below you will see an example of how a Graph Profile can be saved and loaded again.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># The default save filepath is profile-&lt;datetime&gt;.pkl
+profile.save(filepath="profile.pkl")
+
+new_profile = dp.GraphProfiler.load("profile.pkl")
+new_report = new_profile.report()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pp.pprint(report)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Difference-in-Data">
+<h2>Difference in Data<a class="headerlink" href="#Difference-in-Data" title="Permalink to this headline">¶</a></h2>
+<p>If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>diff = profile.diff(new_profile)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pp.pprint(diff)
+</pre></div>
+</div>
+</div>
+<p>Another use for diff might be to provide differences between training and testing profiles as shown in the cell below. We will use the profile above as the training profile and create a new profile to represent the testing profile</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>training_profile = profile
+
+testing_data = dp.Data(os.path.join(data_path, "csv/graph-differentiator-input-positive.csv"))
+testing_profile = dp.Profiler(testing_data)
+
+test_train_diff = training_profile.diff(testing_profile)
+</pre></div>
+</div>
+</div>
+<p>Below you can observe the difference between the two profiles.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pp.pprint(test_train_diff)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Conclusion">
+<h2>Conclusion<a class="headerlink" href="#Conclusion" title="Permalink to this headline">¶</a></h2>
+<p>We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="labeler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Sensitive Data Detection with the Labeler</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="unstructured_profiler_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Unstructured Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/graph_data_demo.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Graph Pipeline Demo</a><ul>
+<li><a class="reference internal" href="#Profile">Profile</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+<li><a class="reference internal" href="#Difference-in-Data">Difference in Data</a></li>
+<li><a class="reference internal" href="#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/graph_data_demo.ipynb b/docs/0.10.3/html/graph_data_demo.ipynb
new file mode 100644
index 000000000..088612872
--- /dev/null
+++ b/docs/0.10.3/html/graph_data_demo.ipynb
@@ -0,0 +1,271 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Graph Pipeline Demo"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components:\n",
+    "- GraphData\n",
+    "- GraphProfiler\n",
+    "\n",
+    "We will demo the use of this graph pipeline.\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import pprint\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now input our dataset into the generic DataProfiler pipeline:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/graph_data_csv_identify.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report = profile.report()\n",
+    "\n",
+    "pp = pprint.PrettyPrinter(sort_dicts=False, compact=True)\n",
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We notice that the `Data` class automatically detected the input file as graph data. The `GraphData` class is able to differentiate between tabular and graph csv data. After `Data` matches the input file as graph data, `GraphData` does the necessary work to load the csv data into a NetworkX Graph. \n",
+    "\n",
+    "`Profiler` runs `GraphProfiler` when graph data is input (or when `data_type=\"graph\"` is specified). The `report()` function outputs the profile for the user."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The profile skeleton looks like this:\n",
+    "```\n",
+    "profile = {\n",
+    "    \"num_nodes\": ...,\n",
+    "    \"num_edges\": ...,\n",
+    "    \"categorical_attributes\": ...,\n",
+    "    \"continuous_attributes\": ...,\n",
+    "    \"avg_node_degree\": ...,\n",
+    "    \"global_max_component_size\": ...,\n",
+    "    \"continuous_distribution\": ...,\n",
+    "    \"categorical_distribution\": ...,\n",
+    "    \"times\": ...,\n",
+    "}\n",
+    "```\n",
+    "\n",
+    "Description of properties in profile:\n",
+    "- `num_nodes`: number of nodes in the graph\n",
+    "- `num_edges`: number of edges in the graph\n",
+    "- `categorical_attributes`: list of categorical edge attributes\n",
+    "- `continuous_attributes`: list of continuous edge attributes\n",
+    "- `avg_node_degree`: average degree of nodes in the graph\n",
+    "- `global_max_component_size`: size of largest global max component in the graph\n",
+    "- `continuous_distribution`: dictionary of statistical properties for each continuous attribute\n",
+    "- `categorical_distribution`: dictionary of statistical properties for each categorical attribute\n",
+    "\n",
+    "The `continuous_distribution` and `categorical_distribution` dictionaries list statistical properties for each edge attribute in the graph:\n",
+    "```\n",
+    "continuous_distribution = {\n",
+    "    \"name\": ...,\n",
+    "    \"scale\": ...,\n",
+    "    \"properties\": ...,\n",
+    "}\n",
+    "```\n",
+    "```\n",
+    "categorical_distribution = {\n",
+    "    \"bin_counts\": ...,\n",
+    "    \"bin_edges\": ...,\n",
+    "}\n",
+    "```\n",
+    "Description of each attribute:\n",
+    "- Continuous distribution:\n",
+    "    - `name`: name of the distribution\n",
+    "    - `scale`: negative log likelihood used to scale distributions and compare them in `GraphProfiler`\n",
+    "    - `properties`: list of distribution props\n",
+    "- Categorical distribution:\n",
+    "    - `bin_counts`: histogram bin counts\n",
+    "    - `bin_edges`: histogram bin edges\n",
+    "\n",
+    "`properties` lists the following distribution properties: [optional: shape, loc, scale, mean, variance, skew, kurtosis]. The list can be either 6 length or 7 length depending on the distribution (extra shape parameter):\n",
+    "- 6 length: norm, uniform, expon, logistic\n",
+    "- 7 length: gamma, lognorm\n",
+    "    - gamma: shape=`a` (float)\n",
+    "    - lognorm: shape=`s` (float)\n",
+    "    \n",
+    "For more information on shape parameters `a` and `s`: https://docs.scipy.org/doc/scipy/tutorial/stats.html#shape-parameters"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile\n",
+    "Below you will see an example of how a Graph Profile can be saved and loaded again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The default save filepath is profile-<datetime>.pkl\n",
+    "profile.save(filepath=\"profile.pkl\")\n",
+    "\n",
+    "new_profile = dp.GraphProfiler.load(\"profile.pkl\")\n",
+    "new_report = new_profile.report()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(report)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Difference in Data\n",
+    "If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diff = profile.diff(new_profile)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Another use for diff might be to provide differences between training and testing profiles as shown in the cell below.\n",
+    "We will use the profile above as the training profile and create a new profile to represent the testing profile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training_profile = profile\n",
+    "\n",
+    "testing_data = dp.Data(os.path.join(data_path, \"csv/graph-differentiator-input-positive.csv\"))\n",
+    "testing_profile = dp.Profiler(testing_data)\n",
+    "\n",
+    "test_train_diff = training_profile.diff(testing_profile)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Below you can observe the difference between the two profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pp.pprint(test_train_diff)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/0.10.3/html/graphs.html b/docs/0.10.3/html/graphs.html
new file mode 100644
index 000000000..8d4d0c80d
--- /dev/null
+++ b/docs/0.10.3/html/graphs.html
@@ -0,0 +1,487 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Examples" href="examples.html" /><link rel="prev" title="Labeler (Sensitive Data)" href="data_labeling.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Graphs - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="graphs">
+<span id="reports"></span><h1>Graphs<a class="headerlink" href="#graphs" title="Permalink to this headline">¶</a></h1>
+<section id="graph-your-data">
+<h2>Graph Your Data<a class="headerlink" href="#graph-your-data" title="Permalink to this headline">¶</a></h2>
+<p>We can plot some of our data as seaborn histogram plots. Below will demonstrate how to do so and provide examples.</p>
+<p>The following plots are currently available to work directly with your profilers:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p>histogram (numeric columns only)</p></li>
+<li><p>missing values matrix</p></li>
+</ul>
+</div></blockquote>
+<p>Below shows how to do so with examples.</p>
+<section id="what-we-need-to-import">
+<h3>What we need to import<a class="headerlink" href="#what-we-need-to-import" title="Permalink to this headline">¶</a></h3>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+</pre></div>
+</div>
+<p>The main functions that is used to plot histograms are in graphs. <strong>You will also need the `dataprofiler[reports]` requirement to be installed</strong>:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install 'dataprofiler[reports]'</span>
+</pre></div>
+</div>
+</section>
+<section id="plotting-from-a-structuredprofiler-class">
+<h3>Plotting from a StructuredProfiler class<a class="headerlink" href="#plotting-from-a-structuredprofiler-class" title="Permalink to this headline">¶</a></h3>
+<p>With a StructuredProfiler class variable, we can specify what columns we want to be plotted, and plot them into histograms.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">column_names</span><span class="p">,</span> <span class="n">column_inds</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>profiler</strong> - StructuredProfiler class variable that contains the data we want</p></li>
+<li><p><strong>columns</strong> - (Optional) The list of IntColumn or FloatColumn <em>names</em> we want to specifically plot. If specified, <cite>column_inds</cite> cannot be specified.</p></li>
+<li><p><strong>column_inds</strong> - (Optional) The list of IntColumn or FloatColumn <em>indexes</em> we want to specifically plot. If specified, <cite>column_names</cite> cannot be specified.</p></li>
+</ul>
+</div></blockquote>
+<p>Additionally, we can also plot the missing values matrix for a StructuredProfiler:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_missing_values_matrix</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>profiler</strong> - StructuredProfiler class variable that contains the data we want</p></li>
+<li><p><strong>ax</strong> - (Optional) MatPlotLib Axes to plot the matrix within.</p></li>
+<li><p><strong>title</strong> - (Optional) The title of the axes we want to define.</p></li>
+</ul>
+</div></blockquote>
+</section>
+<section id="plotting-an-individual-intcolumn-or-floatcolumn">
+<h3>Plotting an individual IntColumn or FloatColumn<a class="headerlink" href="#plotting-an-individual-intcolumn-or-floatcolumn" title="Permalink to this headline">¶</a></h3>
+<p>With a column’s Int or Float profile, we can plot their respective histograms.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_histogram</span><span class="p">(</span><span class="n">column</span><span class="p">,</span> <span class="n">axes</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>column</strong> - The IntColumn or FloatColumn we want to plot</p></li>
+<li><p><strong>axes</strong> - (Optional) The MatPlotLib Axes to plot the histogram within.</p></li>
+<li><p><strong>title</strong> - (Optional) The title of the axes we want to define.</p></li>
+</ul>
+</div></blockquote>
+<p>Additionally, we can also plot the missing values bargraph for any column profile:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_missing_values</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">ax</span><span class="p">,</span> <span class="n">title</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>These are what the variables mean:</p>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>profiler</strong> - The StructuredColProfiler we want to plot</p></li>
+<li><p><strong>ax</strong> - (Optional) MatPlotLib Axes to plot the matrix within.</p></li>
+<li><p><strong>title</strong> - (Optional) The title of the axes we want to define.</p></li>
+</ul>
+</div></blockquote>
+</section>
+<section id="examples">
+<h3>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h3>
+<section id="histograms">
+<h4>Histograms<a class="headerlink" href="#histograms" title="Permalink to this headline">¶</a></h4>
+<ol class="arabic simple">
+<li><p>This example demonstrates how we can take a StructuredProfiler class and plot histograms of the specified columns.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="s1">'a'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">],</span>
+        <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],</span>
+        <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">,</span> <span class="mf">3.5</span><span class="p">],</span>
+        <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">]]</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">StructuredProfiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># This will plot all IntColumn and FloatColumn as histograms (The first and last column).</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profiler</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+
+<span class="c1"># This will only plot the specified column, 0.</span>
+<span class="n">columns_names</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_histograms</span><span class="p">(</span><span class="n">profiler</span><span class="p">,</span> <span class="n">columns_names</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="First Histogram Example Image" src="_images/histogram_example_0.png"/>
+<img alt="Second Histogram Example Image" src="_images/histogram_example_1.png"/>
+<ol class="arabic simple" start="2">
+<li><p>This example demonstrates how we can plot a low level profiler.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">dataprofiler.profilers</span> <span class="kn">import</span> <span class="n">IntColumn</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">str</span><span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">IntColumn</span><span class="p">(</span><span class="s1">'example'</span><span class="p">)</span>
+<span class="n">profiler</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Plot the axes</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_histogram</span><span class="p">(</span><span class="n">profiler</span><span class="p">)</span>
+
+<span class="c1"># get and show the figure of the plotted histogram</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="Histogram Column Only Example Image" src="_images/histogram_example_2.png"/>
+</section>
+<section id="missing-values-matrix">
+<h4>Missing Values Matrix<a class="headerlink" href="#missing-values-matrix" title="Permalink to this headline">¶</a></h4>
+<ol class="arabic simple">
+<li><p>This example demonstrates how we can take a StructuredProfiler class and plot a missing values matrix.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+    <span class="p">[[</span><span class="kc">None</span><span class="p">,</span> <span class="s1">''</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="s1">'1/2/2021'</span><span class="p">],</span>
+     <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mf">3.5</span><span class="p">,</span> <span class="s1">''</span><span class="p">],</span>
+     <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="s1">'2/5/2020'</span><span class="p">],</span>
+     <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">10.0</span><span class="p">,</span> <span class="s1">'3/5/2020'</span><span class="p">]],</span>
+    <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'integer'</span><span class="p">,</span> <span class="s1">'str'</span><span class="p">,</span> <span class="s1">'float'</span><span class="p">,</span> <span class="s1">'datetime'</span><span class="p">],</span>
+    <span class="n">dtype</span><span class="o">=</span><span class="nb">object</span>
+<span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">StructuredProfiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># This will plot the missing values matrix for all columns.</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_missing_values_matrix</span><span class="p">(</span><span class="n">profiler</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="Missing Values Matrix Example Image" src="_images/missing_value_matrix_example_0.png"/>
+<ol class="arabic simple" start="2">
+<li><p>This example demonstrates how we can plot barchart of a column’s missing values.</p></li>
+</ol>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">from</span> <span class="nn">dataprofiler.profilers.profile_builder</span> <span class="kn">import</span> <span class="n">StructuredColProfiler</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.reports</span> <span class="kn">import</span> <span class="n">graphs</span>
+
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s1">'example'</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">str</span><span class="p">)</span>
+<span class="n">profiler</span> <span class="o">=</span> <span class="n">StructuredColProfiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Plot the axes, can be a list of multiple columns</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">graphs</span><span class="o">.</span><span class="n">plot_col_missing_values</span><span class="p">([</span><span class="n">profiler</span><span class="p">])</span>
+
+<span class="c1"># get and show the figure of the plotted histogram</span>
+<span class="n">fig</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_figure</span><span class="p">()</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+<img alt="Missing Values Column Only Example Image" src="_images/missing_value_barchart_example_0.png"/>
+</section>
+</section>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="examples.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Examples</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="data_labeling.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Labeler (Sensitive Data)</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/graphs.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Graphs</a><ul>
+<li><a class="reference internal" href="#graph-your-data">Graph Your Data</a><ul>
+<li><a class="reference internal" href="#what-we-need-to-import">What we need to import</a></li>
+<li><a class="reference internal" href="#plotting-from-a-structuredprofiler-class">Plotting from a StructuredProfiler class</a></li>
+<li><a class="reference internal" href="#plotting-an-individual-intcolumn-or-floatcolumn">Plotting an individual IntColumn or FloatColumn</a></li>
+<li><a class="reference internal" href="#examples">Examples</a><ul>
+<li><a class="reference internal" href="#histograms">Histograms</a></li>
+<li><a class="reference internal" href="#missing-values-matrix">Missing Values Matrix</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/index.html b/docs/0.10.3/html/index.html
new file mode 100644
index 000000000..3edb560ec
--- /dev/null
+++ b/docs/0.10.3/html/index.html
@@ -0,0 +1,743 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Install" href="install.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Home - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="#"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="#">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="data-profiler-what-s-in-your-data">
+<span id="data-profiler"></span><h1>Data Profiler | What’s in your data?<a class="headerlink" href="#data-profiler-what-s-in-your-data" title="Permalink to this headline">¶</a></h1>
+<section id="purpose">
+<h2>Purpose<a class="headerlink" href="#purpose" title="Permalink to this headline">¶</a></h2>
+<p>The DataProfiler is a Python library designed to make data analysis, monitoring and <strong>sensitive data detection</strong> easy.</p>
+<p>Loading <strong>Data</strong> with a single command, the library automatically formats &amp; loads files into a DataFrame. <strong>Profiling</strong> the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstream applications or reports.</p>
+<p>The Data Profiler comes with a cutting edge pre-trained deep learning model, used to efficiently identify <strong>sensitive data</strong> (or <strong>PII</strong>). If customization is needed, it’s easy to add new entities to the existing pre-trained model or insert a new pipeline for entity recognition.</p>
+<p>The best part? Getting started only takes a few lines of code (<a class="reference external" href="https://raw.githubusercontent.com/capitalone/DataProfiler/main/dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv">Example CSV</a>):</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span> <span class="c1"># Auto-Detect &amp; Load: CSV, AVRO, Parquet, JSON, Text</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">5</span><span class="p">))</span> <span class="c1"># Access data directly via a compatible Pandas DataFrame</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="c1"># Calculate Statistics, Entity Recognition, etc</span>
+<span class="n">readable_report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">readable_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>To install the full package from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler[ml]</span>
+</pre></div>
+</div>
+<p>If the ML requirements are too strict (say, you don’t want to install tensorflow), you can install a slimmer package. The slimmer package disables the default sensitive data detection / entity recognition (labler)</p>
+<p>Install from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler</span>
+</pre></div>
+</div>
+<p>If you have suggestions or find a bug, please open an <a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">issue</a>.</p>
+<p>Visit the <a class="reference internal" href="API.html#api"><span class="std std-ref">API</span></a> to explore Data Profiler’s terminology.</p>
+</section>
+<section id="what-is-a-data-profile">
+<h2>What is a Data Profile?<a class="headerlink" href="#what-is-a-data-profile" title="Permalink to this headline">¶</a></h2>
+<p>In the case of this library, a data profile is a dictionary containing statistics and predictions about the underlying dataset. There are “global statistics” or <cite>global_stats</cite>, which contain dataset level data and there are “column/row level statistics” or <cite>data_stats</cite> (each column is a new key-value entry).</p>
+<p>The format for a structured profile is below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="s2">"global_stats"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"samples_used"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"column_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"row_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"row_has_null_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="s2">"row_is_null_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="s2">"unique_row_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+    <span class="s2">"duplicate_row_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"file_type"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"encoding"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"correlation_matrix"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span> <span class="p">(</span><span class="o">*</span><span class="p">)</span>
+    <span class="s2">"chi2_matrix"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+    <span class="s2">"profile_schema"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span>
+<span class="p">},</span>
+<span class="s2">"data_stats"</span><span class="p">:</span> <span class="p">[</span>
+    <span class="p">{</span>
+        <span class="s2">"column_name"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"data_type"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"data_label"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"categorical"</span><span class="p">:</span> <span class="nb">bool</span><span class="p">,</span>
+        <span class="s2">"order"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"samples"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+        <span class="s2">"statistics"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"sample_size"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"null_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"null_types"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+            <span class="s2">"null_types_index"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
+            <span class="s2">"data_type_representation"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">]],</span>
+            <span class="s2">"min"</span><span class="p">:</span> <span class="p">[</span><span class="n">null</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"max"</span><span class="p">:</span> <span class="p">[</span><span class="n">null</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"sum"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"mode"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"median"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"median_absolute_deviation"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"mean"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"variance"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"stddev"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"skewness"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"kurtosis"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"num_zeros"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"num_negatives"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"histogram"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s2">"bin_counts"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+                <span class="s2">"bin_edges"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span>
+            <span class="p">},</span>
+            <span class="s2">"quantiles"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="nb">int</span><span class="p">:</span> <span class="nb">float</span>
+            <span class="p">},</span>
+            <span class="s2">"vocab"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">char</span><span class="p">],</span>
+            <span class="s2">"avg_predictions"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"data_label_representation"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"categories"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span>
+            <span class="s2">"unique_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s2">"unique_ratio"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"categorical_count"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"gini_impurity"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"unalikeability"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"precision"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'min'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s1">'max'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s1">'mean'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'var'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'std'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'sample_size'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s1">'margin_of_error'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'confidence_level'</span><span class="p">:</span> <span class="nb">float</span>
+            <span class="p">},</span>
+            <span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"format"</span><span class="p">:</span> <span class="n">string</span>
+        <span class="p">},</span>
+        <span class="s2">"null_replication_metrics"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"class_prior"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"class_sum"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
+            <span class="s2">"class_mean"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span>
+        <span class="p">}</span>
+    <span class="p">}</span>
+<span class="p">]</span>
+</pre></div>
+</div>
+<p>(*) Currently the correlation matrix update is toggled off. It will be reset in a later update. Users can still use it as desired with the is_enable option set to True.</p>
+<p>The format for an unstructured profile is below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="s2">"global_stats"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"samples_used"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"empty_line_count"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+    <span class="s2">"file_type"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"encoding"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+    <span class="s2">"memory_size"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="c1"># in MB</span>
+<span class="p">},</span>
+<span class="s2">"data_stats"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"data_label"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"entity_counts"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"word_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"true_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"postprocess_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>
+        <span class="p">},</span>
+        <span class="s2">"entity_percentages"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"word_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"true_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+            <span class="s2">"postprocess_char_level"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+        <span class="p">},</span>
+        <span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+    <span class="p">},</span>
+    <span class="s2">"statistics"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"vocab"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">char</span><span class="p">],</span>
+        <span class="s2">"vocab_count"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+        <span class="s2">"words"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+        <span class="s2">"word_count"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+        <span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+    <span class="p">}</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+<p>The format for a graph profile is below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="s2">"num_nodes"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="s2">"num_edges"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="s2">"categorical_attributes"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+<span class="s2">"continuous_attributes"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="n">string</span><span class="p">],</span>
+<span class="s2">"avg_node_degree"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+<span class="s2">"global_max_component_size"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+<span class="s2">"continuous_distribution"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"&lt;attribute_1&gt;"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"name"</span><span class="p">:</span> <span class="n">string</span><span class="p">,</span>
+        <span class="s2">"scale"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s2">"properties"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">]</span>
+    <span class="p">},</span>
+    <span class="s2">"&lt;attribute_2&gt;"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+<span class="p">},</span>
+<span class="s2">"categorical_distribution"</span><span class="p">:</span> <span class="p">{</span>
+    <span class="s2">"&lt;attribute_1&gt;"</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="s2">"&lt;attribute_2&gt;"</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s2">"bin_counts"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+        <span class="s2">"bin_edges"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span>
+    <span class="p">},</span>
+<span class="p">},</span>
+<span class="s2">"times"</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">string</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+</pre></div>
+</div>
+<section id="supported-data-formats">
+<h3>Supported Data Formats<a class="headerlink" href="#supported-data-formats" title="Permalink to this headline">¶</a></h3>
+<ul class="simple">
+<li><p>Any delimited file (CSV, TSV, etc.)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro file</p></li>
+<li><p>Parquet file</p></li>
+<li><p>Text file</p></li>
+<li><p>Pandas DataFrame</p></li>
+<li><p>A URL that points to one of the supported file types above</p></li>
+</ul>
+</section>
+<section id="data-labels">
+<h3>Data Labels<a class="headerlink" href="#data-labels" title="Permalink to this headline">¶</a></h3>
+<p><em>Data Labels</em> are determined per cell for structured data (column/row when the <em>profiler</em> is used) or at the character level for unstructured data.</p>
+<ul class="simple">
+<li><p>UNKNOWN</p></li>
+<li><p>ADDRESS</p></li>
+<li><p>BAN (bank account number, 10-18 digits)</p></li>
+<li><p>CREDIT_CARD</p></li>
+<li><p>EMAIL_ADDRESS</p></li>
+<li><p>UUID</p></li>
+<li><p>HASH_OR_KEY (md5, sha1, sha256, random hash, etc.)</p></li>
+<li><p>IPV4</p></li>
+<li><p>IPV6</p></li>
+<li><p>MAC_ADDRESS</p></li>
+<li><p>PERSON</p></li>
+<li><p>PHONE_NUMBER</p></li>
+<li><p>SSN</p></li>
+<li><p>URL</p></li>
+<li><p>US_STATE</p></li>
+<li><p>DRIVERS_LICENSE</p></li>
+<li><p>DATE</p></li>
+<li><p>TIME</p></li>
+<li><p>DATETIME</p></li>
+<li><p>INTEGER</p></li>
+<li><p>FLOAT</p></li>
+<li><p>QUANTITY</p></li>
+<li><p>ORDINAL</p></li>
+</ul>
+</section>
+</section>
+<section id="get-started">
+<h2>Get Started<a class="headerlink" href="#get-started" title="Permalink to this headline">¶</a></h2>
+<section id="load-a-file">
+<h3>Load a File<a class="headerlink" href="#load-a-file" title="Permalink to this headline">¶</a></h3>
+<p>The profiler should automatically identify the file type and load the data into a <cite>Data Class</cite>.</p>
+<p>Along with other attributtes the <cite>Data class</cite> enables structured data to be accessed via a valid Pandas DataFrame.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load a csv file, return a CSVData object</span>
+<span class="n">csv_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.csv'</span><span class="p">)</span>
+
+<span class="c1"># Print the first 10 rows of the csv file</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">csv_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+
+<span class="c1"># Load a parquet file, return a ParquetData object</span>
+<span class="n">parquet_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.parquet'</span><span class="p">)</span>
+
+<span class="c1"># Sort the data by the name column</span>
+<span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">'name'</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Print the sorted first 10 rows of the parquet data</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>If the file type is not automatically identified (rare), you can specify them
+specifically, see section Data Readers.</p>
+</section>
+<section id="profile-a-file">
+<h3>Profile a File<a class="headerlink" href="#profile-a-file" title="Permalink to this headline">¶</a></h3>
+<p>Example uses a CSV file for example, but CSV, JSON, Avro, Parquet or Text should also work.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load file (CSV should be automatically identified)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Profile the dataset</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Generate a report and use json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="updating-profiles">
+<h3>Updating Profiles<a class="headerlink" href="#updating-profiles" title="Permalink to this headline">¶</a></h3>
+<p>Currently, the data profiler is equipped to update its profile in batches.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with new data:</span>
+<span class="n">new_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"new_data.csv"</span><span class="p">)</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="merging-profiles">
+<h3>Merging Profiles<a class="headerlink" href="#merging-profiles" title="Permalink to this headline">¶</a></h3>
+<p>If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator.</p>
+<p>This also enables profiles to be determined in a distributed manner.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file with a schema</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_a.csv"</span><span class="p">)</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file with the same schema</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_b.csv"</span><span class="p">)</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">profile3</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile3</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="profile-a-pandas-dataframe">
+<h3>Profile a Pandas DataFrame<a class="headerlink" href="#profile-a-pandas-dataframe" title="Permalink to this headline">¶</a></h3>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># read a specified column, in this case it is labeled 0:</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">[</span><span class="s2">"data stats"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="unstructured-profiler">
+<h3>Unstructured Profiler<a class="headerlink" href="#unstructured-profiler" title="Permalink to this headline">¶</a></h3>
+<p>In addition to the structured profiler, the Data Profiler provides unstructured
+profiling for the TextData object or string. Unstructured profiling also works
+with list(string), pd.Series(string) or pd.DataFrame(string) given profiler_type
+option specified as <cite>unstructured</cite>. Below is an example of unstructured profile
+with a text file.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">json</span>
+<span class="n">my_text</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'text_file.txt'</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_text</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Another example of unstructured profile with pd.Series of string is given as below</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="n">text_data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="s1">'first string'</span><span class="p">,</span> <span class="s1">'second string'</span><span class="p">])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">text_data</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s2">"unstructured"</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="graph-profiler">
+<h3>Graph Profiler<a class="headerlink" href="#graph-profiler" title="Permalink to this headline">¶</a></h3>
+<p>DataProfiler also provides the ability to profile graph data from a csv file. Below is an example of the graph profiler with a graph data csv file:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">pprint</span>
+
+<span class="n">my_graph</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span><span class="s1">'graph_file.csv'</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_graph</span><span class="p">)</span>
+
+<span class="c1"># print the report using pretty print (json dump does not work on numpy array values inside dict)</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">()</span>
+<span class="n">printer</span> <span class="o">=</span> <span class="n">pprint</span><span class="o">.</span><span class="n">PrettyPrinter</span><span class="p">(</span><span class="n">sort_dicts</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">compact</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">printer</span><span class="o">.</span><span class="n">pprint</span><span class="p">(</span><span class="n">report</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+<section id="specifying-a-filetype-or-delimiter">
+<h3>Specifying a Filetype or Delimiter<a class="headerlink" href="#specifying-a-filetype-or-delimiter" title="Permalink to this headline">¶</a></h3>
+<p>Example of specifying a CSV data type, with a <cite>,</cite> delimiter.
+In addition, it utilizes only the first 10,000 rows.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">})</span>
+
+<span class="c1"># Split the data, such that only the first 10,000 rows are used</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10000</span><span class="p">]</span>
+
+<span class="c1"># Read in profile and print results</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span><span class="s2">"pretty"</span><span class="p">}),</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+<div class="toctree-wrapper compound">
+</div>
+</section>
+</section>
+<section id="versions">
+<h2>Versions<a class="headerlink" href="#versions" title="Permalink to this headline">¶</a></h2>
+<ul class="simple">
+<li><p><a class="reference external" href="../../0.10.3/html/index.html">0.10.3</a></p></li>
+<li><p><a class="reference external" href="../../0.10.2/html/index.html">0.10.2</a></p></li>
+<li><p><a class="reference external" href="../../0.10.1/html/index.html">0.10.1</a></p></li>
+<li><p><a class="reference external" href="../../0.10.0/html/index.html">0.10.0</a></p></li>
+<li><p><a class="reference external" href="../../0.9.0/html/index.html">0.9.0</a></p></li>
+<li><p><a class="reference external" href="../../0.8.9/html/index.html">0.8.9</a></p></li>
+<li><p><a class="reference external" href="../../0.8.8/html/index.html">0.8.8</a></p></li>
+<li><p><a class="reference external" href="../../0.8.7/html/index.html">0.8.7</a></p></li>
+<li><p><a class="reference external" href="../../0.8.6/html/index.html">0.8.6</a></p></li>
+<li><p><a class="reference external" href="../../0.8.5/html/index.html">0.8.5</a></p></li>
+<li><p><a class="reference external" href="../../0.8.4/html/index.html">0.8.4</a></p></li>
+<li><p><a class="reference external" href="../../0.8.3/html/index.html">0.8.3</a></p></li>
+<li><p><a class="reference external" href="../../0.8.2/html/index.html">0.8.2</a></p></li>
+<li><p><a class="reference external" href="../../0.8.1/html/index.html">0.8.1</a></p></li>
+<li><p><a class="reference external" href="../../0.8.0/html/index.html">0.8.0</a></p></li>
+<li><p><a class="reference external" href="../../0.7.11/html/index.html">0.7.11</a></p></li>
+<li><p><a class="reference external" href="../../0.7.10/html/index.html">0.7.10</a></p></li>
+<li><p><a class="reference external" href="../../0.7.9/html/index.html">0.7.9</a></p></li>
+<li><p><a class="reference external" href="../../0.7.8/html/index.html">0.7.8</a></p></li>
+<li><p><a class="reference external" href="../../0.7.7/html/index.html">0.7.7</a></p></li>
+<li><p><a class="reference external" href="../../0.7.6/html/index.html">0.7.6</a></p></li>
+<li><p><a class="reference external" href="../../0.7.2/html/index.html">0.7.2</a></p></li>
+<li><p><a class="reference external" href="../../0.7.1/html/index.html">0.7.1</a></p></li>
+<li><p><a class="reference external" href="../../0.7.0/html/index.html">0.7.0</a></p></li>
+<li><p><a class="reference external" href="../../0.6.0/html/index.html">0.6.0</a></p></li>
+<li><p><a class="reference external" href="../../0.5.3/html/index.html">0.5.3</a></p></li>
+<li><p><a class="reference external" href="../../0.5.2/html/index.html">0.5.2</a></p></li>
+<li><p><a class="reference external" href="../../0.5.1/html/index.html">0.5.1</a></p></li>
+<li><p><a class="reference external" href="../../0.5.0/html/index.html">0.5.0</a></p></li>
+<li><p><a class="reference external" href="../../0.4.7/html/index.html">0.4.7</a></p></li>
+<li><p><a class="reference external" href="../../0.4.6/html/index.html">0.4.6</a></p></li>
+<li><p><a class="reference external" href="../../0.4.5/html/index.html">0.4.5</a></p></li>
+<li><p><a class="reference external" href="../../0.4.4/html/index.html">0.4.4</a></p></li>
+<li><p><a class="reference external" href="../../0.4.3/html/index.html">0.4.3</a></p></li>
+<li><p><a class="reference external" href="../../v0.3/html/index.html">0.3.0</a></p></li>
+</ul>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="install.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Install</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/index.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Profiler | What’s in your data?</a><ul>
+<li><a class="reference internal" href="#purpose">Purpose</a></li>
+<li><a class="reference internal" href="#what-is-a-data-profile">What is a Data Profile?</a><ul>
+<li><a class="reference internal" href="#supported-data-formats">Supported Data Formats</a></li>
+<li><a class="reference internal" href="#data-labels">Data Labels</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#get-started">Get Started</a><ul>
+<li><a class="reference internal" href="#load-a-file">Load a File</a></li>
+<li><a class="reference internal" href="#profile-a-file">Profile a File</a></li>
+<li><a class="reference internal" href="#updating-profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#merging-profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#profile-a-pandas-dataframe">Profile a Pandas DataFrame</a></li>
+<li><a class="reference internal" href="#unstructured-profiler">Unstructured Profiler</a></li>
+<li><a class="reference internal" href="#graph-profiler">Graph Profiler</a></li>
+<li><a class="reference internal" href="#specifying-a-filetype-or-delimiter">Specifying a Filetype or Delimiter</a><ul>
+</ul>
+</li>
+</ul>
+</li>
+<li><a class="reference internal" href="#versions">Versions</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/install.html b/docs/0.10.3/html/install.html
new file mode 100644
index 000000000..74b3e7177
--- /dev/null
+++ b/docs/0.10.3/html/install.html
@@ -0,0 +1,387 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Data Readers" href="data_readers.html" /><link rel="prev" title="Data Profiler | What’s in your data?" href="index.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Install - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="install">
+<span id="id1"></span><h1>Install<a class="headerlink" href="#install" title="Permalink to this headline">¶</a></h1>
+<p>To install the full package from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler[ml]</span>
+</pre></div>
+</div>
+<p>If the ML requirements are too strict (say, you don’t want to install
+tensorflow), you can install a slimmer package. The slimmer package disables
+the default sensitive data detection / entity recognition (labler)</p>
+<p>Install from pypi:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip install DataProfiler</span>
+</pre></div>
+</div>
+<section id="snappy-installation">
+<h2>Snappy Installation<a class="headerlink" href="#snappy-installation" title="Permalink to this headline">¶</a></h2>
+<p>This is required to profile parquet/avro datasets</p>
+<p>MacOS with homebrew:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">brew install snappy &amp;&amp; CPPFLAGS="-I/usr/local/include -L/usr/local/lib" pip install python-snappy</span>
+</pre></div>
+</div>
+<p>Linux install:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">sudo apt-get -y install libsnappy-dev</span>
+</pre></div>
+</div>
+</section>
+<section id="build-from-scratch">
+<h2>Build From Scratch<a class="headerlink" href="#build-from-scratch" title="Permalink to this headline">¶</a></h2>
+<p>NOTE: Installation for python3</p>
+<p>virtualenv install:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">python3 -m pip install virtualenv</span>
+</pre></div>
+</div>
+<p>Setup virtual env:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">python3 -m virtualenv --python=python3 venv3</span>
+<span class="go">source venv3/bin/activate</span>
+</pre></div>
+</div>
+<p>Install requirements:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install -r requirements.txt</span>
+</pre></div>
+</div>
+<p>Install labeler dependencies:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install -r requirements-ml.txt</span>
+</pre></div>
+</div>
+<p>Install via the repo – Build setup.py and install locally:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">python3 setup.py sdist bdist bdist_wheel</span>
+<span class="go">pip3 install dist/DataProfiler*-py3-none-any.whl</span>
+</pre></div>
+</div>
+<p>If you see:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">ERROR: Double requirement given:dataprofiler==X.Y.Z from dataprofiler/dist/DataProfiler-X.Y.Z-py3-none-any.whl (already in dataprofiler==X2.Y2.Z2 from dataprofiler/dist/DataProfiler-X2.Y2.Z2-py3-none-any.whl, name='dataprofiler')</span>
+</pre></div>
+</div>
+<p>This means that you have multiple versions of the DataProfiler distribution
+in the dist folder.
+To resolve, either remove the older one or delete the folder and rerun the steps
+above.</p>
+<p>Install via github:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install git+https://github.com/capitalone/dataprofiler.git#egg=dataprofiler</span>
+</pre></div>
+</div>
+</section>
+<section id="testing">
+<h2>Testing<a class="headerlink" href="#testing" title="Permalink to this headline">¶</a></h2>
+<p>For testing, install test requirements:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">pip3 install -r requirements-test.txt</span>
+</pre></div>
+</div>
+<p>To run all unit tests, use:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 python3 -m unittest discover -p "test*.py"</span>
+</pre></div>
+</div>
+<p>To run file of unit tests, use form:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 python3 -m unittest discover -p test_profile_builder.py</span>
+</pre></div>
+</div>
+<p>To run a file with Pytest use:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 pytest dataprofiler/tests/data_readers/test_csv_data.py -v</span>
+</pre></div>
+</div>
+<p>To run individual of unit test, use form:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">DATAPROFILER_SEED=0 python3 -m unittest dataprofiler.tests.profilers.test_profile_builder.TestProfiler</span>
+</pre></div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="data_readers.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Data Readers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="index.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Home</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/install.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Install</a><ul>
+<li><a class="reference internal" href="#snappy-installation">Snappy Installation</a></li>
+<li><a class="reference internal" href="#build-from-scratch">Build From Scratch</a></li>
+<li><a class="reference internal" href="#testing">Testing</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/labeler.html b/docs/0.10.3/html/labeler.html
new file mode 100644
index 000000000..333d132c6
--- /dev/null
+++ b/docs/0.10.3/html/labeler.html
@@ -0,0 +1,956 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Adding new model to the existing DataLabeler pipeline" href="add_new_model_to_data_labeler.html" /><link rel="prev" title="Graph Pipeline Demo" href="graph_data_demo.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Sensitive Data Detection with the Labeler - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/labeler.nblink">View this notebook on GitHub</a></p>
+<section id="Sensitive-Data-Detection-with-the-Labeler">
+<h1>Sensitive Data Detection with the Labeler<a class="headerlink" href="#Sensitive-Data-Detection-with-the-Labeler" title="Permalink to this headline">¶</a></h1>
+<p>In this example, we utilize the Labeler component of the Data Profiler to detect the sensitive information for both structured and unstructured data. In addition, we show how to train the Labeler on some specific dataset with different list of entities.</p>
+<p>First, let’s dive into what the Labeler is.</p>
+<section id="What-is-the-Labeler">
+<h2>What is the Labeler<a class="headerlink" href="#What-is-the-Labeler" title="Permalink to this headline">¶</a></h2>
+<p>The Labeler is a pipeline designed to make building, training, and predictions with ML models quick and easy. There are 3 major components to the Labeler: the preprocessor, the model, and the postprocessor.</p>
+<p><img alt="alt text" src="_images/DL-Flowchart.png"/></p>
+<p>Each component can be switched out individually to suit your needs. As you might expect, the preprocessor takes in raw data and prepares it for the model, the model performs the prediction or training, and the postprocessor takes prediction results and turns them into human-readable results.</p>
+<p>Now let’s run some examples. Start by importing all the requirements.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+import pandas as pd
+
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+except ImportError:
+    import dataprofiler as dp
+
+# remove extra tf loggin
+import tensorflow as tf
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Structured-Data-Prediction">
+<h2>Structured Data Prediction<a class="headerlink" href="#Structured-Data-Prediction" title="Permalink to this headline">¶</a></h2>
+<p>We’ll use the aws honeypot dataset in the test folder for this example. First, look at the data using the Data Reader class of the Data Profiler. This dataset is from the US department of educations, <a class="reference external" href="https://data.ed.gov/dataset/college-scorecard-all-data-files-through-6-2020/resources?resource=823ac095-bdfc-41b0-b508-4e8fc3110082">found here!</a></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data("../dataprofiler/tests/data/csv/SchoolDataSmall.csv")
+df_data = data.data
+df_data.head()
+</pre></div>
+</div>
+</div>
+<p>We can directly predict the labels of a structured dataset on the cell level.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>labeler = dp.DataLabeler(labeler_type='structured')
+
+# print out the labels and label mapping
+print("Labels: {}".format(labeler.labels))
+print("\n")
+print("Label Mapping: {}".format(labeler.label_mapping))
+print("\n")
+
+# make predictions and get labels for each cell going row by row
+# predict options are model dependent and the default model can show prediction confidences
+predictions = labeler.predict(data, predict_options={"show_confidences": True})
+
+# display prediction results
+print("Predictions: {}".format(predictions['pred']))
+print("\n")
+
+# display confidence results
+print("Confidences: {}".format(predictions['conf']))
+</pre></div>
+</div>
+</div>
+<p>The profiler uses the Labeler to perform column by column predictions. The data contains 11 columns, each of which has data label. Next, we will use the Labeler of the Data Profiler to predict the label for each column in this tabular dataset. Since we are only going to demo the labeling functionality, other options of the Data Profiler are disabled to keep this quick.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># helper functions for printing results
+
+def get_structured_results(results):
+    """Helper function to get data labels for each column."""
+    columns = []
+    predictions = []
+    samples = []
+    for col in results['data_stats']:
+        columns.append(col['column_name'])
+        predictions.append(col['data_label'])
+        samples.append(col['samples'])
+
+    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions, 'Sample': samples})
+    return df_results
+
+def get_unstructured_results(data, results):
+    """Helper function to get data labels for each labeled piece of text."""
+    labeled_data = []
+    for pred in results['pred'][0]:
+        labeled_data.append([data[0][pred[0]:pred[1]], pred[2]])
+    label_df = pd.DataFrame(labeled_data, columns=['Text', 'Labels'])
+    return label_df
+
+
+pd.set_option('display.width', 100)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># set options to only run the labeler
+profile_options = dp.ProfilerOptions()
+profile_options.set({"structured_options.text.is_enabled": False,
+                     "int.is_enabled": False,
+                     "float.is_enabled": False,
+                     "order.is_enabled": False,
+                     "category.is_enabled": False,
+                     "chi2_homogeneity.is_enabled": False,
+                     "datetime.is_enabled": False,})
+
+profile = dp.Profiler(data, options=profile_options)
+
+results = profile.report()
+print(get_structured_results(results))
+</pre></div>
+</div>
+</div>
+<p>In this example, the results show that the Data Profiler is able to detect integers, URLs, address, and floats appropriately. Unknown is typically strings of text, which is appropriate for those columns.</p>
+</section>
+<section id="Unstructured-Data-Prediction">
+<h2>Unstructured Data Prediction<a class="headerlink" href="#Unstructured-Data-Prediction" title="Permalink to this headline">¶</a></h2>
+<p>Besides structured data, the Labeler detects the sensitive information on the unstructured text. We use a sample of spam email in Enron email dataset for this demo. As above, we start investigating the content of the given email sample.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># load data
+data = "Message-ID: &lt;11111111.1111111111111.JavaMail.evans@thyme&gt;\n" + \
+        "Date: Fri, 10 Aug 2005 11:31:37 -0700 (PDT)\n" + \
+        "From: w..smith@company.com\n" + \
+        "To: john.smith@company.com\n" + \
+        "Subject: RE: ABC\n" + \
+        "Mime-Version: 1.0\n" + \
+        "Content-Type: text/plain; charset=us-ascii\n" + \
+        "Content-Transfer-Encoding: 7bit\n" + \
+        "X-From: Smith, Mary W. &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/CN=SSMITH&gt;\n" + \
+        "X-To: Smith, John &lt;/O=ENRON/OU=NA/CN=RECIPIENTS/CN=JSMITH&gt;\n" + \
+        "X-cc: \n" + \
+        "X-bcc: \n" + \
+        "X-Folder: \SSMITH (Non-Privileged)\Sent Items\n" + \
+        "X-Origin: Smith-S\n" + \
+        "X-FileName: SSMITH (Non-Privileged).pst\n\n" + \
+        "All I ever saw was the e-mail from the office.\n\n" + \
+        "Mary\n\n" + \
+        "-----Original Message-----\n" + \
+        "From:   Smith, John  \n" + \
+        "Sent:   Friday, August 10, 2005 13:07 PM\n" + \
+        "To:     Smith, Mary W.\n" + \
+        "Subject:        ABC\n\n" + \
+        "Have you heard any more regarding the ABC sale? I guess that means that " + \
+        "it's no big deal here, but you think they would have send something.\n\n\n" + \
+        "John Smith\n" + \
+        "123-456-7890\n"
+
+# convert string data to list to feed into the labeler
+data = [data]
+</pre></div>
+</div>
+</div>
+<p>By default, the Labeler predicts the results at the character level for unstructured text.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>labeler = dp.DataLabeler(labeler_type='unstructured')
+
+# make predictions and get labels per character
+predictions = labeler.predict(data)
+
+# display results
+print(predictions['pred'])
+</pre></div>
+</div>
+</div>
+<p>In addition to the character-level result, the Labeler provides the results at the word level following the standard NER (Named Entity Recognition), e.g., utilized by spaCy.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># convert prediction to word format and ner format
+# Set the output to the NER format (start position, end position, label)
+labeler.set_params(
+    { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } }
+)
+
+# make predictions and get labels per character
+predictions = labeler.predict(data)
+
+# display results
+print('\n')
+print('=======================Prediction======================\n')
+for pred in predictions['pred'][0]:
+    print('{}: {}'.format(data[0][pred[0]: pred[1]], pred[2]))
+    print('--------------------------------------------------------')
+</pre></div>
+</div>
+</div>
+<p>Here, the Labeler is able to identify sensitive information such as datetime, email address, person names, and phone number in an email sample.</p>
+</section>
+<section id="Train-the-Labeler-from-Scratch">
+<h2>Train the Labeler from Scratch<a class="headerlink" href="#Train-the-Labeler-from-Scratch" title="Permalink to this headline">¶</a></h2>
+<p>The Labeler can be trained from scratch with a new list of labels. Below, we show an example of training the Labeler on a dataset with labels given as the columns of that dataset. For brevity’s sake, let’s only train a few epochs with a subset of a dataset.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data("../dataprofiler/tests/data/csv/SchoolDataSmall.csv")
+df = data.data[["OPEID6", "INSTURL", "SEARCH_STRING"]]
+df.head()
+
+# split data to training and test set
+split_ratio = 0.2
+df = df.sample(frac=1).reset_index(drop=True)
+data_train = df[:int((1 - split_ratio) * len(df))]
+data_test = df[int((1 - split_ratio) * len(df)):]
+
+# train a new labeler with column names as labels
+if not os.path.exists('data_labeler_saved'):
+    os.makedirs('data_labeler_saved')
+
+labeler = dp.train_structured_labeler(
+    data=data_train,
+    save_dirpath="data_labeler_saved",
+    epochs=10,
+    default_label="OPEID6"
+)
+
+</pre></div>
+</div>
+</div>
+<p>The trained Labeler is then used by the Data Profiler to provide the prediction on the new dataset.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># predict with the labeler object
+profile_options.set({'structured_options.data_labeler.data_labeler_object': labeler})
+profile = dp.Profiler(data_test, options=profile_options)
+
+# get the prediction from the data profiler
+results = profile.report()
+print(get_structured_results(results))
+</pre></div>
+</div>
+</div>
+<p>Another way to use the trained Labeler is through the directory path of the saved labeler.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># predict with the labeler loaded from path
+profile_options.set({'structured_options.data_labeler.data_labeler_dirpath': 'data_labeler_saved'})
+profile = dp.Profiler(data_test, options=profile_options)
+
+# get the prediction from the data profiler
+results = profile.report()
+print(get_structured_results(results))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Transfer-Learning-a-Labeler">
+<h2>Transfer Learning a Labeler<a class="headerlink" href="#Transfer-Learning-a-Labeler" title="Permalink to this headline">¶</a></h2>
+<p>Instead of training a model from scratch, we can also transfer learn to improve the model and/or extend the labels. Again for brevity’s sake, let’s only train a few epochs with a small dataset at the cost of accuracy.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data("../dataprofiler/tests/data/csv/SchoolDataSmall.csv")
+df_data = data.data[["OPEID6", "INSTURL", "SEARCH_STRING"]]
+
+
+# prep data
+df_data = df_data.reset_index(drop=True).melt()
+df_data.columns = [1, 0]  # labels=1, values=0 in that order
+df_data = df_data.astype(str)
+new_labels = df_data[1].unique().tolist()
+
+# load structured Labeler w/ trainable set to True
+labeler = dp.DataLabeler(labeler_type='structured', trainable=True)
+
+# Reconstruct the model to add each new label
+for label in new_labels:
+    labeler.add_label(label)
+
+# this will use transfer learning to retrain the labeler on your new
+# dataset and labels.
+# Setting labels with a list of labels or label mapping will overwrite the existing labels with new ones
+# Setting the reset_weights parameter to false allows transfer learning to occur
+model_results = labeler.fit(x=df_data[0], y=df_data[1], validation_split=0.2,
+                                 epochs=10, labels=None, reset_weights=False)
+</pre></div>
+</div>
+</div>
+<p>Let’s display the training results of the last epoch:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>print("{:16s}  Precision  Recall  F1-score  Support".format(""))
+for item in model_results[-1][2]:
+    print("{:16s}  {:4.3f}      {:4.3f}   {:4.3f}     {:7.0f}".format(item,
+                                                                      model_results[-1][2][item]["precision"],
+                                                                      model_results[-1][2][item]["recall"],
+                                                                      model_results[-1][2][item]["f1-score"],
+                                                                      model_results[-1][2][item]["support"]))
+</pre></div>
+</div>
+</div>
+<p>It is now trained to detect additional labels! The model results here show all the labels training accuracy. Since only new labels existed in the dataset, only the new labels are given accuracy scores. Keep in mind this is a small dataset for brevity’s sake and that real training would involve more samples and better results.</p>
+</section>
+<section id="Saving-and-Loading-a-Labeler">
+<h2>Saving and Loading a Labeler<a class="headerlink" href="#Saving-and-Loading-a-Labeler" title="Permalink to this headline">¶</a></h2>
+<p>The Labeler can easily be saved or loaded with one simple line.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Ensure save directory exists
+if not os.path.exists('my_labeler'):
+    os.makedirs('my_labeler')
+
+# Saving the labeler
+labeler.save_to_disk("my_labeler")
+
+# Loading the labeler
+labeler = dp.DataLabeler(labeler_type='structured', dirpath="my_labeler")
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Building-a-Labeler-from-the-Ground-Up">
+<h2>Building a Labeler from the Ground Up<a class="headerlink" href="#Building-a-Labeler-from-the-Ground-Up" title="Permalink to this headline">¶</a></h2>
+<p>As mentioned earlier, the labeler is comprised of three components, and each of the compenents can be created and interchanged in the the labeler pipeline.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import random
+from dataprofiler.labelers.character_level_cnn_model import \
+    CharacterLevelCnnModel
+from dataprofiler.labelers.data_processing import \
+    StructCharPreprocessor, StructCharPostprocessor
+
+model = CharacterLevelCnnModel({"PAD":0, "UNKNOWN":1, "Test_Label":2})
+preprocessor = StructCharPreprocessor()
+postprocessor = StructCharPostprocessor()
+
+labeler = dp.DataLabeler(labeler_type='structured')
+labeler.set_preprocessor(preprocessor)
+labeler.set_model(model)
+labeler.set_postprocessor(postprocessor)
+
+# check for basic compatibility between the processors and the model
+labeler.check_pipeline()
+
+# Optionally set the parameters
+parameters={
+    'preprocessor':{
+        'max_length': 100,
+    },
+    'model':{
+        'max_length': 100,
+    },
+    'postprocessor':{
+        'random_state': random.Random(1)
+    }
+}
+labeler.set_params(parameters)
+
+labeler.help()
+</pre></div>
+</div>
+</div>
+<p>The components can each be created if you inherit the BaseModel and BaseProcessor for the model and processors, respectively. More info can be found about coding your own components in the Labeler section of the <a class="reference external" href="https://capitalone.github.io/dataprofiler">documentation</a>. In summary, the Data Profiler open source library can be used to scan sensitive information in both structured and unstructured data with different file types. It supports multiple input formats and output formats at word and
+character levels. Users can also train the labeler on their own datasets.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="add_new_model_to_data_labeler.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Adding new model to the existing DataLabeler pipeline</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="graph_data_demo.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Graph Pipeline Demo</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/labeler.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Sensitive Data Detection with the Labeler</a><ul>
+<li><a class="reference internal" href="#What-is-the-Labeler">What is the Labeler</a></li>
+<li><a class="reference internal" href="#Structured-Data-Prediction">Structured Data Prediction</a></li>
+<li><a class="reference internal" href="#Unstructured-Data-Prediction">Unstructured Data Prediction</a></li>
+<li><a class="reference internal" href="#Train-the-Labeler-from-Scratch">Train the Labeler from Scratch</a></li>
+<li><a class="reference internal" href="#Transfer-Learning-a-Labeler">Transfer Learning a Labeler</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Labeler">Saving and Loading a Labeler</a></li>
+<li><a class="reference internal" href="#Building-a-Labeler-from-the-Ground-Up">Building a Labeler from the Ground Up</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/labeler.ipynb b/docs/0.10.3/html/labeler.ipynb
new file mode 100644
index 000000000..af31b68c5
--- /dev/null
+++ b/docs/0.10.3/html/labeler.ipynb
@@ -0,0 +1,650 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "spoken-reunion",
+   "metadata": {},
+   "source": [
+    "# Sensitive Data Detection with the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "interesting-bidder",
+   "metadata": {},
+   "source": [
+    "In this example, we utilize the Labeler component of the Data Profiler to detect the sensitive information for both structured and unstructured data. In addition, we show how to train the Labeler on some specific dataset with different list of entities.\n",
+    "\n",
+    "First, let's dive into what the Labeler is."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1965b83b",
+   "metadata": {},
+   "source": [
+    "## What is the Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "388c643f",
+   "metadata": {},
+   "source": [
+    "The Labeler is a pipeline designed to make building, training, and predictions with ML models quick and easy. There are 3 major components to the Labeler: the preprocessor, the model, and the postprocessor."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5d0aeb4",
+   "metadata": {},
+   "source": [
+    "![alt text](DL-Flowchart.png \"Title\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "550323c7",
+   "metadata": {},
+   "source": [
+    "Each component can be switched out individually to suit your needs. As you might expect, the preprocessor takes in raw data and prepares it for the model, the model performs the prediction or training, and the postprocessor takes prediction results and turns them into human-readable results. \n",
+    "\n",
+    "Now let's run some examples. Start by importing all the requirements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "scientific-stevens",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5125b215",
+   "metadata": {},
+   "source": [
+    "## Structured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "wicked-devon",
+   "metadata": {},
+   "source": [
+    "We'll use the aws honeypot dataset in the test folder for this example. First, look at the data using the Data Reader class of the Data Profiler. This dataset is from the US department of educations, [found here!](https://data.ed.gov/dataset/college-scorecard-all-data-files-through-6-2020/resources?resource=823ac095-bdfc-41b0-b508-4e8fc3110082)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "adjusted-native",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data\n",
+    "df_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab6ccf8a",
+   "metadata": {},
+   "source": [
+    "We can directly predict the labels of a structured dataset on the cell level."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19529af4",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "\n",
+    "# print out the labels and label mapping\n",
+    "print(\"Labels: {}\".format(labeler.labels)) \n",
+    "print(\"\\n\")\n",
+    "print(\"Label Mapping: {}\".format(labeler.label_mapping))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# make predictions and get labels for each cell going row by row\n",
+    "# predict options are model dependent and the default model can show prediction confidences\n",
+    "predictions = labeler.predict(data, predict_options={\"show_confidences\": True})\n",
+    "\n",
+    "# display prediction results\n",
+    "print(\"Predictions: {}\".format(predictions['pred']))\n",
+    "print(\"\\n\")\n",
+    "\n",
+    "# display confidence results\n",
+    "print(\"Confidences: {}\".format(predictions['conf']))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2af72e2c",
+   "metadata": {},
+   "source": [
+    "The profiler uses the Labeler to perform column by column predictions. The data contains 11 columns, each of which has  data label. Next, we will use the Labeler of the Data Profiler to predict the label for each column in this tabular dataset. Since we are only going to demo the labeling functionality, other options of the Data Profiler are disabled to keep this quick."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6cb9d7e-149a-4cfe-86f8-76c47c57aeea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# helper functions for printing results\n",
+    "\n",
+    "def get_structured_results(results):\n",
+    "    \"\"\"Helper function to get data labels for each column.\"\"\"\n",
+    "    columns = []\n",
+    "    predictions = []\n",
+    "    samples = []\n",
+    "    for col in results['data_stats']:\n",
+    "        columns.append(col['column_name'])\n",
+    "        predictions.append(col['data_label'])\n",
+    "        samples.append(col['samples'])\n",
+    "\n",
+    "    df_results = pd.DataFrame({'Column': columns, 'Prediction': predictions, 'Sample': samples})\n",
+    "    return df_results\n",
+    "\n",
+    "def get_unstructured_results(data, results):\n",
+    "    \"\"\"Helper function to get data labels for each labeled piece of text.\"\"\"\n",
+    "    labeled_data = []\n",
+    "    for pred in results['pred'][0]:\n",
+    "        labeled_data.append([data[0][pred[0]:pred[1]], pred[2]])\n",
+    "    label_df = pd.DataFrame(labeled_data, columns=['Text', 'Labels'])\n",
+    "    return label_df\n",
+    "    \n",
+    "\n",
+    "pd.set_option('display.width', 100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "secret-million",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# set options to only run the labeler\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"structured_options.text.is_enabled\": False, \n",
+    "                     \"int.is_enabled\": False, \n",
+    "                     \"float.is_enabled\": False, \n",
+    "                     \"order.is_enabled\": False, \n",
+    "                     \"category.is_enabled\": False, \n",
+    "                     \"chi2_homogeneity.is_enabled\": False,\n",
+    "                     \"datetime.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "\n",
+    "results = profile.report()    \n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fatty-louisville",
+   "metadata": {},
+   "source": [
+    "In this example, the results show that the Data Profiler is able to detect integers, URLs, address, and floats appropriately. Unknown is typically strings of text, which is appropriate for those columns."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "unavailable-diploma",
+   "metadata": {},
+   "source": [
+    "## Unstructured Data Prediction"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "metallic-coaching",
+   "metadata": {},
+   "source": [
+    "Besides structured data, the Labeler detects the sensitive information on the unstructured text. We use a sample of spam email in Enron email dataset for this demo. As above, we start investigating the content of the given email sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "unauthorized-lounge",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# load data\n",
+    "data = \"Message-ID: <11111111.1111111111111.JavaMail.evans@thyme>\\n\" + \\\n",
+    "        \"Date: Fri, 10 Aug 2005 11:31:37 -0700 (PDT)\\n\" + \\\n",
+    "        \"From: w..smith@company.com\\n\" + \\\n",
+    "        \"To: john.smith@company.com\\n\" + \\\n",
+    "        \"Subject: RE: ABC\\n\" + \\\n",
+    "        \"Mime-Version: 1.0\\n\" + \\\n",
+    "        \"Content-Type: text/plain; charset=us-ascii\\n\" + \\\n",
+    "        \"Content-Transfer-Encoding: 7bit\\n\" + \\\n",
+    "        \"X-From: Smith, Mary W. </O=ENRON/OU=NA/CN=RECIPIENTS/CN=SSMITH>\\n\" + \\\n",
+    "        \"X-To: Smith, John </O=ENRON/OU=NA/CN=RECIPIENTS/CN=JSMITH>\\n\" + \\\n",
+    "        \"X-cc: \\n\" + \\\n",
+    "        \"X-bcc: \\n\" + \\\n",
+    "        \"X-Folder: \\SSMITH (Non-Privileged)\\Sent Items\\n\" + \\\n",
+    "        \"X-Origin: Smith-S\\n\" + \\\n",
+    "        \"X-FileName: SSMITH (Non-Privileged).pst\\n\\n\" + \\\n",
+    "        \"All I ever saw was the e-mail from the office.\\n\\n\" + \\\n",
+    "        \"Mary\\n\\n\" + \\\n",
+    "        \"-----Original Message-----\\n\" + \\\n",
+    "        \"From:   Smith, John  \\n\" + \\\n",
+    "        \"Sent:   Friday, August 10, 2005 13:07 PM\\n\" + \\\n",
+    "        \"To:     Smith, Mary W.\\n\" + \\\n",
+    "        \"Subject:        ABC\\n\\n\" + \\\n",
+    "        \"Have you heard any more regarding the ABC sale? I guess that means that \" + \\\n",
+    "        \"it's no big deal here, but you think they would have send something.\\n\\n\\n\" + \\\n",
+    "        \"John Smith\\n\" + \\\n",
+    "        \"123-456-7890\\n\"\n",
+    "\n",
+    "# convert string data to list to feed into the labeler\n",
+    "data = [data]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "concerned-segment",
+   "metadata": {},
+   "source": [
+    "By default, the Labeler predicts the results at the character level for unstructured text."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "junior-acrobat",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "labeler = dp.DataLabeler(labeler_type='unstructured')\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print(predictions['pred'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "individual-diabetes",
+   "metadata": {},
+   "source": [
+    "In addition to the character-level result, the Labeler provides the results at the word level following the standard NER (Named Entity Recognition), e.g., utilized by spaCy. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "optical-universe",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# convert prediction to word format and ner format\n",
+    "# Set the output to the NER format (start position, end position, label)\n",
+    "labeler.set_params(\n",
+    "    { 'postprocessor': { 'output_format':'ner', 'use_word_level_argmax':True } } \n",
+    ")\n",
+    "\n",
+    "# make predictions and get labels per character\n",
+    "predictions = labeler.predict(data)\n",
+    "\n",
+    "# display results\n",
+    "print('\\n')\n",
+    "print('=======================Prediction======================\\n')\n",
+    "for pred in predictions['pred'][0]:\n",
+    "    print('{}: {}'.format(data[0][pred[0]: pred[1]], pred[2]))\n",
+    "    print('--------------------------------------------------------')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "behavioral-tourism",
+   "metadata": {},
+   "source": [
+    "Here, the Labeler is able to identify sensitive information such as datetime, email address, person names, and phone number in an email sample. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "nasty-disney",
+   "metadata": {},
+   "source": [
+    "## Train the Labeler from Scratch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "destroyed-twist",
+   "metadata": {},
+   "source": [
+    "The Labeler can be trained from scratch with a new list of labels. Below, we show an example of training the Labeler on a dataset with labels given as the columns of that dataset. For brevity's sake, let's only train a few epochs with a subset of a dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "utility-evaluation",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "df.head()\n",
+    "\n",
+    "# split data to training and test set\n",
+    "split_ratio = 0.2\n",
+    "df = df.sample(frac=1).reset_index(drop=True)\n",
+    "data_train = df[:int((1 - split_ratio) * len(df))]\n",
+    "data_test = df[int((1 - split_ratio) * len(df)):]\n",
+    "\n",
+    "# train a new labeler with column names as labels\n",
+    "if not os.path.exists('data_labeler_saved'):\n",
+    "    os.makedirs('data_labeler_saved')\n",
+    "\n",
+    "labeler = dp.train_structured_labeler(\n",
+    "    data=data_train,\n",
+    "    save_dirpath=\"data_labeler_saved\",\n",
+    "    epochs=10,\n",
+    "    default_label=\"OPEID6\"\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "utility-torture",
+   "metadata": {},
+   "source": [
+    "The trained Labeler is then used by the Data Profiler to provide the prediction on the new dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "answering-panel",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predict with the labeler object\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': labeler})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "polish-stand",
+   "metadata": {},
+   "source": [
+    "Another way to use the trained Labeler is through the directory path of the saved labeler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "industrial-characterization",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# predict with the labeler loaded from path\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_dirpath': 'data_labeler_saved'})\n",
+    "profile = dp.Profiler(data_test, options=profile_options)\n",
+    "\n",
+    "# get the prediction from the data profiler\n",
+    "results = profile.report()\n",
+    "print(get_structured_results(results))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2acedba0",
+   "metadata": {},
+   "source": [
+    "## Transfer Learning a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2f15fb1f",
+   "metadata": {},
+   "source": [
+    "Instead of training a model from scratch, we can also transfer learn to improve the model and/or extend the labels. Again for brevity's sake, let's only train a few epochs with a small dataset at the cost of accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0104c374",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(\"../dataprofiler/tests/data/csv/SchoolDataSmall.csv\")\n",
+    "df_data = data.data[[\"OPEID6\", \"INSTURL\", \"SEARCH_STRING\"]]\n",
+    "\n",
+    "\n",
+    "# prep data\n",
+    "df_data = df_data.reset_index(drop=True).melt()\n",
+    "df_data.columns = [1, 0]  # labels=1, values=0 in that order\n",
+    "df_data = df_data.astype(str)\n",
+    "new_labels = df_data[1].unique().tolist()\n",
+    "\n",
+    "# load structured Labeler w/ trainable set to True\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', trainable=True)\n",
+    "\n",
+    "# Reconstruct the model to add each new label\n",
+    "for label in new_labels:\n",
+    "    labeler.add_label(label)\n",
+    "\n",
+    "# this will use transfer learning to retrain the labeler on your new\n",
+    "# dataset and labels.\n",
+    "# Setting labels with a list of labels or label mapping will overwrite the existing labels with new ones\n",
+    "# Setting the reset_weights parameter to false allows transfer learning to occur\n",
+    "model_results = labeler.fit(x=df_data[0], y=df_data[1], validation_split=0.2, \n",
+    "                                 epochs=10, labels=None, reset_weights=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae78745f",
+   "metadata": {},
+   "source": [
+    "Let's display the training results of the last epoch:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b764aa8c",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "print(\"{:16s}  Precision  Recall  F1-score  Support\".format(\"\"))\n",
+    "for item in model_results[-1][2]:\n",
+    "    print(\"{:16s}  {:4.3f}      {:4.3f}   {:4.3f}     {:7.0f}\".format(item,\n",
+    "                                                                      model_results[-1][2][item][\"precision\"],\n",
+    "                                                                      model_results[-1][2][item][\"recall\"],\n",
+    "                                                                      model_results[-1][2][item][\"f1-score\"],\n",
+    "                                                                      model_results[-1][2][item][\"support\"]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44009522",
+   "metadata": {},
+   "source": [
+    "It is now trained to detect additional labels! The model results here show all the labels training accuracy. Since only new labels existed in the dataset, only the new labels are given accuracy scores. Keep in mind this is a small dataset for brevity's sake and that real training would involve more samples and better results."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e110ee1c",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Labeler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c484d193",
+   "metadata": {},
+   "source": [
+    "The Labeler can easily be saved or loaded with one simple line."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d8684fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ensure save directory exists\n",
+    "if not os.path.exists('my_labeler'):\n",
+    "    os.makedirs('my_labeler')\n",
+    "\n",
+    "# Saving the labeler\n",
+    "labeler.save_to_disk(\"my_labeler\")\n",
+    "\n",
+    "# Loading the labeler\n",
+    "labeler = dp.DataLabeler(labeler_type='structured', dirpath=\"my_labeler\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8d36dec8",
+   "metadata": {},
+   "source": [
+    "## Building a Labeler from the Ground Up"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59346d2b",
+   "metadata": {},
+   "source": [
+    "As mentioned earlier, the labeler is comprised of three components, and each of the compenents can be created and interchanged in the the labeler pipeline."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6506ef97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import random\n",
+    "from dataprofiler.labelers.character_level_cnn_model import \\\n",
+    "    CharacterLevelCnnModel\n",
+    "from dataprofiler.labelers.data_processing import \\\n",
+    "    StructCharPreprocessor, StructCharPostprocessor\n",
+    "\n",
+    "model = CharacterLevelCnnModel({\"PAD\":0, \"UNKNOWN\":1, \"Test_Label\":2})\n",
+    "preprocessor = StructCharPreprocessor()\n",
+    "postprocessor = StructCharPostprocessor()\n",
+    "\n",
+    "labeler = dp.DataLabeler(labeler_type='structured')\n",
+    "labeler.set_preprocessor(preprocessor)\n",
+    "labeler.set_model(model)\n",
+    "labeler.set_postprocessor(postprocessor)\n",
+    "\n",
+    "# check for basic compatibility between the processors and the model\n",
+    "labeler.check_pipeline()\n",
+    "\n",
+    "# Optionally set the parameters\n",
+    "parameters={\n",
+    "    'preprocessor':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'model':{\n",
+    "        'max_length': 100,\n",
+    "    },\n",
+    "    'postprocessor':{\n",
+    "        'random_state': random.Random(1)\n",
+    "    }\n",
+    "} \n",
+    "labeler.set_params(parameters)\n",
+    "\n",
+    "labeler.help()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f020d7f",
+   "metadata": {},
+   "source": [
+    "The components can each be created if you inherit the BaseModel and BaseProcessor for the model and processors, respectively. More info can be found about coding your own components in the Labeler section of the [documentation]( https://capitalone.github.io/dataprofiler). In summary, the Data Profiler open source library can be used to scan sensitive information in both structured and unstructured data with different file types. It supports multiple input formats and output formats at word and character levels. Users can also train the labeler on their own datasets."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/merge_profile_list.html b/docs/0.10.3/html/merge_profile_list.html
new file mode 100644
index 000000000..1e00b4cb4
--- /dev/null
+++ b/docs/0.10.3/html/merge_profile_list.html
@@ -0,0 +1,637 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Dataloader with Popmon Reports" href="popmon_dp_loader_example.html" /><link rel="prev" title="ColumnName Labeler Tutorial" href="column_name_labeler_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Merge List of Profiles - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/merge_profile_list.nblink">View this notebook on GitHub</a></p>
+<section id="Merge-List-of-Profiles">
+<h1>Merge List of Profiles<a class="headerlink" href="#Merge-List-of-Profiles" title="Permalink to this headline">¶</a></h1>
+<p>This is an example of a new utils in the dataprofiler for distributed merging of profile objects. This assumes the user is providing a list of profile objects to the utils function for merging all the profiles together.</p>
+<section id="Imports">
+<h2>Imports<a class="headerlink" href="#Imports" title="Permalink to this headline">¶</a></h2>
+<p>Let’s start by importing the necessary packages…</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+
+import pandas as pd
+import tensorflow as tf
+
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+    from dataprofiler.profilers.utils import merge_profile_list
+except ImportError:
+    import dataprofiler as dp
+    from dataprofiler.profilers.utils import merge_profile_list
+
+# remove extra tf loggin
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Setup-the-Data-and-Profiler">
+<h2>Setup the Data and Profiler<a class="headerlink" href="#Setup-the-Data-and-Profiler" title="Permalink to this headline">¶</a></h2>
+<p>This section shows the basic example of the Data Profiler.</p>
+<ol class="arabic simple">
+<li><p>Instantiate a Pandas dataframe with dummy data</p></li>
+<li><p>Pass the dataframe to the <code class="docutils literal notranslate"><span class="pre">Profiler</span></code> and instantiate two separate profilers in a list</p></li>
+</ol>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>d = {'col1': [1, 2], 'col2': [3, 4]}
+df = pd.DataFrame(data=d)
+
+list_of_profiles = [dp.Profiler(df), dp.Profiler(df)]
+</pre></div>
+</div>
+</div>
+<p>Take a look at the list of profiles…</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>list_of_profiles
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Run-Merge-on-List-of-Profiles">
+<h2>Run Merge on List of Profiles<a class="headerlink" href="#Run-Merge-on-List-of-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Now let’s merge the list of profiles into a <code class="docutils literal notranslate"><span class="pre">single_profile</span></code></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>single_profile = merge_profile_list(list_of_profiles=list_of_profiles)
+</pre></div>
+</div>
+</div>
+<p>And check out the <code class="docutils literal notranslate"><span class="pre">.report</span></code> on the single profile:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>single_profile.report()
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="popmon_dp_loader_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Dataloader with Popmon Reports</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="column_name_labeler_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">ColumnName Labeler Tutorial</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/merge_profile_list.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Merge List of Profiles</a><ul>
+<li><a class="reference internal" href="#Imports">Imports</a></li>
+<li><a class="reference internal" href="#Setup-the-Data-and-Profiler">Setup the Data and Profiler</a></li>
+<li><a class="reference internal" href="#Run-Merge-on-List-of-Profiles">Run Merge on List of Profiles</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/merge_profile_list.ipynb b/docs/0.10.3/html/merge_profile_list.ipynb
new file mode 100644
index 000000000..4654caf8f
--- /dev/null
+++ b/docs/0.10.3/html/merge_profile_list.ipynb
@@ -0,0 +1,159 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "60af5256",
+   "metadata": {},
+   "source": [
+    "# Merge List of Profiles\n",
+    "\n",
+    "This is an example of a new utils in the dataprofiler for distributed merging of profile objects. This assumes the user is providing a list of profile objects to the utils function for merging all the profiles together."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7eee37ff",
+   "metadata": {},
+   "source": [
+    "## Imports\n",
+    "\n",
+    "Let's start by importing the necessary packages..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0d27009",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tensorflow as tf\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.utils import merge_profile_list\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "    from dataprofiler.profilers.utils import merge_profile_list\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4369e64",
+   "metadata": {},
+   "source": [
+    "## Setup the Data and Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "410c3c4d",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. \n",
+    "\n",
+    "1. Instantiate a Pandas dataframe with dummy data\n",
+    "2. Pass the dataframe to the `Profiler` and instantiate two separate profilers in a list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3567c82",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "d = {'col1': [1, 2], 'col2': [3, 4]}\n",
+    "df = pd.DataFrame(data=d)\n",
+    "\n",
+    "list_of_profiles = [dp.Profiler(df), dp.Profiler(df)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "350502eb",
+   "metadata": {},
+   "source": [
+    "Take a look at the list of profiles... "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b649db32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_of_profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ed4fc12",
+   "metadata": {},
+   "source": [
+    "## Run Merge on List of Profiles\n",
+    "\n",
+    "Now let's merge the list of profiles into a `single_profile`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4a636047",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile = merge_profile_list(list_of_profiles=list_of_profiles)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0aa88720",
+   "metadata": {},
+   "source": [
+    "And check out the `.report` on the single profile:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34059c21",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_profile.report()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "dataprofiler",
+   "language": "python",
+   "name": "dataprofiler"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/modules.html b/docs/0.10.3/html/modules.html
new file mode 100644
index 000000000..a9a66b9c5
--- /dev/null
+++ b/docs/0.10.3/html/modules.html
@@ -0,0 +1,298 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>dataprofiler - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="dataprofiler">
+<h1>dataprofiler<a class="headerlink" href="#dataprofiler" title="Permalink to this headline">¶</a></h1>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="dataprofiler.html">Dataprofiler</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="dataprofiler.html#modules">Modules</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.data_readers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.labelers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.reports.html">Reports</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.reports.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.validators.html#modules">Modules</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.dp_logging.html">Dp Logging</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.rng_utils.html">Rng Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.settings.html">Settings</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.version.html">Version</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/modules.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/objects.inv b/docs/0.10.3/html/objects.inv
new file mode 100644
index 0000000000000000000000000000000000000000..53f79437e014c996dd800c00e58244e07498cc82
GIT binary patch
literal 28981
zcmYhiV~{Rg6D`=bZQHhOoVMMkZQHhO+qSz;+qP|E`u*;miTPFWRPCzB^<-q`+PQKQ
z6DZl4ncKJ#nA^CR*f`lbxD&XTI5?Wy+7K{75fdml*jktvIdKt)7&saH_si7W%EaOK
zf$INR#6`eB$H+j({Ch{)%!I(f#M;2z#@NJxz}A$&$;{l5;J@_*zgHt$YdZ%MM@JK5
z0%u2ao4*7eR_2CuP;To}-CGHp91Ub{JMxI8Yo^?e@#j|??U<Db6&)8*%JUQ|-c~hc
zlMo_gT8PGB`b9}5j`g+mt{*fX6dxqeem^7-Z3m->rrvUtn07y#{QIMOuX}{H_tHAJ
zk;s*<sVhG&HE=7)8(+DdgNLE)GgEI)E8k8(D_dWBru-B94H-w^st?wv3xDjqZSPY%
zCJvGFj`O>qM>2E2pWY5S;jDZoICs8qV}e257dlBn=&EdV3j<Bu-N&Y@#?RtoRlKLM
zH7Ads21pFIS)A|OtksnzG^mV@dbm)Ikkbq0tH$vjOn<U?>l2pTm71s0SZ9_9sT>sX
zsJUFAbFzywm8b8b*q@wtv@Kl-Jk!Zl`B-O+?GAYbr{q+82t0zbvR8WyLNBR3kL<O*
zCOHRT<b>Uac3CDqX}&@6v(VJl5jJ;GfMB>qK>CMZ5qsingoEfSJ`naIqp*p(=In$;
z060Pk2hdSDMP3K;J*-exb9(hVrh7OFPH;rF`97hyZKwV1All>>upu{$-huZ!r1^PV
zsHR01rlk%#PnKCd1v_5;>DJAhgJYrF1N-5l)V#b5JDk3E6U2Y@psPBYM^qe&&|hyf
zTdaO_l2;^@Ax=SupPWRVDo=F0Pn&yTm+*X?JMpI4D<B54IrOOx?-8?(?6MzVl%Oz+
zT#f7+uat1ugYZ@ZBoxV+=_S+eFPVz28OxG(7TH{K>Hh1s8c=O5In`HxnpulO#f%OA
z&L4libix8cKpIk!K|p^}PYSKF%4t+;j*VsO>Z_tkE=7rxWeajH=tKTM#8-}5qJJyr
zFkX2_!N1zku3KxuEHcW@g;Y--)JUleBjH|NN<TH35KqTqj}g&N&=R8H8l`jpx}w?u
zL)9PjVQHAig4#A-QdGs21Dw+M`hyB0EVebGd*@$cLKp(R4BHFh_9SV@+rvh)jGY)u
z*Nzb~G<)mDizj<AfF>xSUWoXu!t<{FQ}zA&R~N4X)xuN1%>-gSz$It&{vikg;lKus
zXX)(-GZ6(F6hTHl=$r5d622|f&Mk}m<8R9k6|gGft8gPOq5d$((sX#kADD?OILu^3
zn4r)p=#YS66L8?X4$><ifX>ouAiskI3qk<<@@9rGILH=&zA+Xp01>AKS^zRC@Q^`E
z;=iv5Y)Rr#`h}CeJYJu;d_J^wbp&laJRoTsKGg(cV}v9SWHz6-!A{sbUW!}daC*j@
zb$ihv*vvqEoG=(YWn*&#=rLX70<p3^er5jS=#$og7*Nh*mwn(v<q(E4S>fImKYp=M
zmI~}Fn+TXFsN9CZprf!l{dHR-b^5p0ff@|Rc7>W8>YKM{NGk?e&|tARw*h+v;05|)
zWr&m*6%Rsu%K`OFCMWyiibAP1Y7Sxf7PKFB@x8n}jmux~_moz<>ve-xewyC`Fyq4R
zL5YQv=y&w55?y@*0lQ$k2>Pq`?7s-wo_-OScq?v!tNkKKJO4!>1>DCOmG_Ile*qni
zSN9#LAVgBH&c#0UZ@}oKa#B>(a>@I|#J)V*#Ei5{MNUqKoQV+u)`U7(Zhh7z$Meka
zSzeC1DlPiCwa1{vq0j+zB|f!o82d@#V-kNv+_=+s8@)k^Jq2r)$ykRtz!Wv6TGig?
z@CTw6HrHw%FT>7ZsPM;zi*+pIP7R7)1oTBFM>p)urITb}RZgV+okM*P&Rq2F`0P;+
zTXX)E!fkE1?x6l)xm(r4J8M4XPUNx1B=}5fg|W%tf;!QALyNG4A~7ARZO~?pz3$R@
z6oP?Kz3u!geP1H70yCp=q!9a@=-sENb&vFl=op6SCB?!nd^Hp7Cu!}2qtJ`mmk<#%
zS~PPHs@{1Q#ltAFdsP{52^>Z<TTvKRa|li(86lU>Zbh&>6N{DBz(PhGK}<7-5Z0v4
zMgmE}Qid?rvIVUK(#AP$K8#%}O&cs#LP&>Z<mrJ<H|CJwO$lO9{7ngL(%wxA;v?g2
z3oVNO?dvh1q=pJcVzf1=PY2u5;L{zmCzYGh2@~^|Kc=b!yP)^%cGd;dgdxS4Ca=CT
zjW(zE`)qF?gfiUwT_TbzMe}um7oq>3EjY_}(bzJ#w6`Gchy#WT$T7*dEHc1rx1*=5
zIrmT)%q@S5=PS*{sK34q9U03>Q!3YXV-Ch2(-Ea7Axa$QsO}xWogis=X5KiQ&WwB{
zbcT-oScZkGg_}5GrfpjKM1OPuXC=fmV9BQJIssyMujzInJh5?^N`pzT6VUsVjUIqf
z^y731N-(O`$Pi#RsI~9!JPiPs1bTvsapqW85kp+u*$qlOB99^DxT}Kw&cLI0weC*4
z-R_Un^jYdbuLC2XXbUjx^ksGZm|_%n4GiQ^%w#5!rvQ`zP==xOSx`W+cj8Bx1IdR*
z!DJPy1jG~+t^7ij6nA+ID<z(HfvP3M+Qf7eCj~?F?XB#>Mhh^3;HEce#$N7q=Mu|6
zO0D!#%G714BO%rv?`=Qyw*TR8r;rl)F{`6Yqc|yx8==xI7S==J{miWf!a|)@35iFr
zln@SxV+C%8Pzr6lR%0F^dC#XEBP7gYghVQtTiwIxmPZYVHz}vQ1+}xVaSio|gm8il
zIW6ZG9QK*=>K?TlxcKlGH>^-pG;EM}IWw`BFn(kl!T!sUOD>cCLN_GBA_^?uSHE21
zE2}b1t+27efAo_OE=2@`UEk4nTD^2&Df@U1d%d}vIGQ=pe%#_W&iuK37M5BV3Tvfz
z`*6$6m0OFysmw6>^dK~_?)r<x2dpz8P&p}eUF~t-=?0K(ah}i1VDC6_ds`N+h~u^i
zL(v60TQ28j9GXUwfXIW%<&lE44R+~7(ghmkF79TR3n>O;8OI!sLB=7EIe;CQjV)5w
zXM%(<3ggxkJDiJG?k7^$c;5$LOc%%%QswX1cNXc#cY%(By|Dm38k~Cw0~yWVcIN-h
zu(>Rz(%lqRR>sD`@viM@2kl2_VyFEXhB^w81Cd!5S+5~5zlISdv2#TL7XcnRl8XRu
z3&c?p3z)s?{(`{OMmYw+#lv^}>WboY+I~Z^yBo&~$8}%iibHHC-o<P6T6lN}xC=(6
z0?`I4j|pP4hQJTADMWVV8ZCBfd>YiBw*{79H){rFF3@HIDJjtgDu;z)gC&TFhV`2R
z;z(FFnL_9|Hk<q?cv$w3LBhz~A`s@n<k3m6rU;;svE5PZ?oC3^ny;3Ze0Xe5lJCyH
zX(44SyorvyFyqm-vC-XV6-n%dKt*%V9@)EnG+WBbiYyfsxv>i{{nj@ShM^{LNLX65
zAn<0Oj1lnG<F56>_bS)FMa$Yk+CX&rtp!GL0cq4>ZdtPTL0BYn+lJ)lN#&vmt`SRT
z$GJqh5g)(y7UABn6#{dL*t6E-%b2s$<BI5uZXgn$1I{}8l)v=er*FtSdV;pLWgp$k
zxw}xhvw7McBR|ooxZ}WlvD=b(bH_m@zHR@(W$4;LXLryyZ3r$C+oTIE(`&-yUE;RN
z<X;i9R})-Qnm2|}5ACJp5PZMr@yYir$zF0fvuCqex3~D!SjuJAuxJRZ<IY4Y;A6~i
zP-ClJYb^Ujb4!X6;36fEORtE{!ULZr6hUQkiOFH&kjF+K2M>-P>}o;yEr|BCBHWY3
zI4^*<KM+R`-PHhQHQh9>39iFuL=m1N%aX;t#4;G2zDp(YI(?D#LCy0m8pGTBTCfDy
z*?OxjTJ3lt>0p?nl!q2y%EO{5JQrb`&OYX2?=E(iF2OYTI1VB;;4MVSuc_In3vEc-
zU<$7C`<TjKhF<2Jscx^tC4KFKahc?nG5VMAF9ImN1dAb$y$eR8rgoH_7r0M#Byu>^
zdSY>hz3*FFP57uAfm-8NF%y{oe1z!9i3)4NZZJ<gT3TbbEuglJn<sTm%GY-7j=$#N
zl*o`N#HeVw%)+Q^oh}xpY{50;TmDN@{^zLm92aeb2226oNULNf-Xu#65!xIMn`Dm8
zd+Ef}E+?m%V12a8Ks{xbz=Yjo0QRQ;do^Yy9#%*o!8RU|U$ig%2WE{axNS{725Akr
z@Dk4+hriAe)R5cduZ`G;u;0UE(lcTT=<S=%<JxE~HpJK1ON05Yn5f~t+l}g&uJ`jz
zz~5tV6U3?@5yk%2L#b<w)nqEaqNI!N%e0y-Kv;LQWQSTt3o3+6;ap!j*r^)?QaI>|
zNUz|tkquYhou3OP?`;;2P=V`kxZ)8(j-~!~hD%g*?u7^}=5jiU5COImnBzEWhKNw#
z!M5Lv={rqN1M6_7e9Qzb80<rfC~OEIG9OXY*C6do^;~P5R%_y80}c<>W~6vb&WQE5
zix69A?1P(g!J<>sLfN9LAgNnmTY-3@h7GXl+)UEG(}xX^gmZYIKMDooo3jMKPxOrf
ztX^1E6?~-JLr29^vOh#W49-3*0D_P{%IZ*gt>D~~b2221sw!(@erb`pGFKun(B)d@
zIQP>Oom6$?1y!e#qLN8zrFP<-v$pK<Hqj;<NE=2E(&O1>wn&utY9m!i8*1{IIyxwO
z79=i_P*+}rF=e8J9HX7X*{W1`_s*lBqV)59^>~*Px8U85O-%>j(ewkLO}JJLPJ%yz
z6uW=DiO-~Wg(!h@wO4BWk-;65sD|x)f%-w6*>LJDot3knYabxdl+qqZzA=LXoJ2z*
zOE{s5a+)wa1@$D4ggTO#WO#ocDB8~3UW82DFv~B#hN;FL5)Er5FUT@_V^`!~v=Z=`
zDvr3qxrb=SHHSZ`rUwq9q#8bX9VC~?KI<5#9gsvpvIH*0lvFxgx>>aqoNO~mxu|SE
z>(#&^P9~WztKmGIyqrDd{3<k0hR8Eg5?OM$P_cRij^MZ&b?Gb#bP6%SR>l!ZqUoB0
z2#H2})*vFSuABgJwVsWJK=L^DUAP+K-@YbdfFsRgsALbAJgvD!LkFqZ*NY5doVWR7
z5H3L{iIzT2|01n}tN<i>$Cz0s>TIk@5@Fqmy%@W3M@XqNvb%v3th9NJcTJHFpb6dk
z1r^nGuioBe_ssfcpOsDE+t-&W(+2LzLs{J|Yt?!|lj}lG)6!2B9;yl8k2yN(r^dLn
z)tO;`%G>iZNuJM~m0}EFH!Jl!&%tL{ZsRZVsm9u>Y4?$IGm+B$86RZ`OA*=`+`oU_
zdl`2zZi`rM5pI=*vhBZTh11n;)FjlyT+Xyp09hn_Ste284Q3TmIbVf=YOQa<|MW)A
zUO4!N==w8oqGCLQLHUl|drV7sU()%I*w>iu)C8x!nfynaRB=9FkqG<jnd=e4==ar9
zip|K!G8usYpd8d<67mAjzYy(aH`o|jt(r_a+2Wid2n~QJc+8;3F(|mv&rRbM5We_f
zykJBpm7|979Ovks&nsaurFvCop;f%ITEF~;N;^2vW$y-h!q!$wYx+z<K$xhSSZ#y+
zzV@?ON^m0%>^m__>dm==GR4|imLatq%5TAb_vrqejEx-$C5kN323Lz8%TyRMGpWe`
z-0n_jdnS+DO$*%bKiv|SQBT<LU5s4TT=Yj<sowhBw2bzmVSL%y_qYC}dNX&kC=zc&
zU&*WJTs|xaVIY~<N(&2H2ZppB$kS5##SED$5J;m1*A~0G6J>i}E?*8j4Jn%nb{bQ8
z=0r4%MLZl)@qamL+1ABHo=$zgwNwqjn<}Remf9$r5|&siljV>2QWfs{10;*SmSZKG
zyqaUBn}ktfrOURm!{{EFSJcw@(#Wy1Uu*x{-$-umUzXKWJ&{%1N;BCV4~!LU+)wA(
zgPfkX9S`^muXTSVQ}G4OWX-U?X9>X56=fMB9EY+(uo;HGf;J?8zY=Eyec*&9XQQy;
z+lBn+W+S<`$l81%BM8=VqeRQhWMi4s#$h9**vfZ9bxY1@@#xhyPbFhgYMUo|WJ`{l
zHNzblcG=9}J;jnGHWIAbWv>GMeD(PsIoq?#duAw^?d#PeGnZq+3%zEcO{v~ohAZ+{
z_;SPJSJ-lumRW+Y3?F=E6XQ9I<SI<_@um>)B34S<nYp#p+G!IQA{#p@!sB1d+sGX-
zd$aF}B11M@KssM7Styf#*ajh=POKj;Dwu=!3S-`bIQKme(O&Ko9gfi5_Rk^WfAJg`
zv!?6nAFCC?a4k-0EM}O-=!u!9C&<(`PHdxCKf@&cVmo+eO*0HZab_!~Mmz}Ne&P+;
z)MyC@b2^zWxxcC4Ia=%-!?yf!qYyJkzBki^BEI7$g0Sw)vE>Bmw_PJ>f~_|XoUPD;
zS>1*H%3))C`?Gm0#icmJBS}q{rmr{TI0<6D0cQ)0L-d}u3<GI9xt+Ai)(`xeX38Nt
z#0dMx(_(Z>_KX^yk1p06mJTD<9Fnag+8mn7Fv>hk2?T9{ptOywLa<Grtb&rASs;G^
zja)dUpwJd)A2l0?MSX7Kn+iW*Fv;2tUfaqEX%wO~k0gPzPn`tLqn}xYtQ=G{9pUGq
z*@jB@Hpv+PA7Z2)82?AKA@Im#;>F%HbRUgo>|Q(vcU9V7;&ikD95qawser34iG*PP
zM*>WHU9hq|gpfs6+`fFRXE*$U!~zLr6y$Z29FEUt0(m^9_R@3QZC)^m9ehruqzQn3
zC(;<)Fav!&U=fhd>km4(o{pl<wULXQyt9ux9^IPXB>4%_Z2F<lIsU!;P&F5qf;h{q
zHYG_()Kod6BC(c){;L}rl8Ww+WOVo$vGD!?HyKGqmjtHAm5CP0I^g5*%bU3`@3?pT
zPL2B-$`<IS){3*uE}&mW<Q^_hhO{BBwuI+LWh0pFh+-PUA?Ut8dRMtfGWXw<4P$oE
zJS+5KX*ws`qnMZDR-_!zEg%<>p<{mGL2eViKx{yqQQ-r_hHS(-fA{Ixu{M~$W=>u<
z%uS%LRi<{(eQ%SuW4AJ<I991Rrf$*-YyWm{ce_l?j73J6I9T}9FxNpAS*Tbzyr@vI
zFmq90YyhcnF>r9>Az-4T<pIH30T}CHW3uULf@dm)i4XpG!=3&dt5Ax~c4LSNnD>~w
zpOTo974mVh_71v!LL_^Gb&QMxwvv;dAyh^#%7u#0oVg9C^r#sEFM{av?veZ9#FmMJ
zTV5bQF0vfp<60FS4-J@-)}&rc6neDlmPn6(GYM%j30jJ<m$8GpOh)e{#`vxAkp<IW
zxlD5;>UCLEU}2yKiPR!<d?j~}JhgY_tX)RPyrml`^r+H9T61I1_qN6^6_ese;DeGB
zTQHIMfv%!hS~=#eO|QD>H{^n}05s;;)ApN)8)*g3q>Qvc<a9>aLh__a8bwOmF!z|0
zY5#R{>}#J{O(Af|pOfuB5i`mRYCETBp}d_mx01e1Upz(2XR4g57Btp0+6b8G5^IHs
z50AF_cNH{vD`RaXZI`}Lw;VQ>U;f}t{6qDOi#%5%r{Znbp(95Qp3Pukas=yXX!E%`
zpp~^HHag&w1mCaaQ?P6Jx7a?)Z(8&q@8B=H{iVRjn0=JMP@z4H0B!6jBOu=SaQ`T{
zoBeNZi9Y^PAc!WOMq*2NU=W%7^E+U5)Y2ZP#)(EG@8IT-jL#0Jy^V0>IRrSKOF)2-
zybTEWFs!}co}#yhg0Y(#9txU=3ke0qw}+XY+dzo)whtcJi)}6h?$UnGTCTco3w!4A
z5n<v6`J#CBs7VWoQ`}RYhts>RtSz|tO9{JwP42>htM|-3_Qg0X(It#HcfunY<c9G;
z&l}l$z#^{TysjV5@tnW{`}5fgCq!l^TuN2HWq*0bCmDxz;Yx<!`eifPEUOnSkIKSI
zKqBjR$A<hr#ItxouylOPqeGON)&#xPp7Qh9LcqElQ~w)i8dr&Ns+{^iH7WX<K4#Kc
z8$M>j9b|e8G3Nk6nf)44NV@k*fKv(~jC%)lt=UDSO?KlJI^ek_HO{+5tW|>~HEJrP
z4>U<CmJw+sE>koT3jL<9PR>?f(ppp7P(`Iu)@gY-vnzGxA&$|wlvF(<Fz@TNi~&`U
zW_95kf+{PQMJ|+yErF<31uk_h#FE_VnelnJRnd8t;FebFE(~vGh$h_XgC*wRSloY_
zfTJ-VuLO)hG`MH=6I+3wAYt~!7=~q*flS3nD!!Sq6BfVHL6cB@!DO^9mO#6cRD7T)
zE<9U3JGZ16s$Ws)z0F~~4>C343XY~=@@!q0-5S`~g^R82elBexzRGz%XTIT72C`xS
z`6a)Y*M#+OWtZcY<Ps5wlAlx<zI!~7ehP7jm+Q<cj@P3=SRJfEbVRj{7M6Q=q~=$R
zgQW4&CuQ?vrO93?Gqyo;dd6k@#xvGI5?jK(%ixkK(}}ecJXrlpYt@kL8a!D0i>lRn
zUrHS)xo=6$?rpUHB6$DpX&@3^(83hl0Z=20V;w|gvNlo<eWSqMM`4i7&iysJX9gy(
z_TtxU4?f}I>Vw?(8~Q)X52R)Z87)i!JuTHT1eNyG#^;(Ve0kMQ%#$L{Ha5Z$RP3#O
zbt6;$=G2=f=bc?OrMt5ACrQn6;8{iI=CJv-zM9NqRQYJxEo3p``4p9VP*1Yxs?UEJ
z#;E$%6HuxRtU<k%)Hei{;g)BcqIaP`1TzY9c1h)JXsq&c4`g8_=AKJlAFFL5<d(Nf
z@*ZhvMVqSoWz{xp2_IM1;!B>%Gl5R~%(VvbP42EHwkO~@{;-9xS|w1GF$VU4Sws<3
z`e9j}zmFyc{a|exBLig9nrj00`b+vvLk&FlA<KgF<$~o(=gA+o{`m>)?zuQeZ7P@D
zo#i+`uEi3~!`F6pFBZP&;Y`MLbWi(4bsILtuv!!KGO5j)-XJ&DdIU<`X(xJ&P8pYW
zCIn41o(GKJ!@gr|VMx1$HXYmz&)=JXu$UZtQrt3w@7mmgr{TwGNVpRd5n_5q7*yAF
zJ?Q=F49b~ZDVdlqm_XSN<vrlBtSBWv6{r2G!;j2@PCa6;gxEV27pK^Lo>{r42A!>^
zFzM#RYdoi@eJ?8Ka8y>bM9w$;?WneUFUFD<iDg02Ma897MqH=jeP>11{mtD?PF;C0
za#bRytVyFqIa2!fYNV1aLE~mfTDfFx02B{aH$HtyW4N)$^|KoHSCxMb@JY#M$;V8=
zq%CgT76^sJZwb0m{w)~jJYhu^@W;539Ha6-f#`Wgbfj0u@r~7l@i=T;UFGl0QhP#l
zv6(KVRr%Vt=EHt)c|8Gk;M{8;m5!4|Y<H`9Ast{mB$n|5t@!}Vw-+y-C^yxFj3^Gt
z7hx|S@3<OWr*H$@xu<TbM)2n)7gB=(KUOHcwE0k;IZ<|*b`gN@jyduMrn2b7{)r|_
zZI2pYks1+3z~_WA2=wC8+xbIEbJrPYN<y>&_-(^B#O%yh{_>@w6Vnz4RqxBtLU+ns
z$#PC6LvUn0fqh`V7b-U#&#mw(VxRp^PmDf*4=7~-qM=ZmFIunO#!FlYR?Y*yWPhVZ
zZt^V3?a4@?-(W8T9_;o};l5&&pf@pN2&m*mK1Q2uv7{e=J{};>UGfCR=_`EkXx+XC
zn&Sfb9G>1EF}wLFehnQ`7Qm;kV2Ib9cWlFXMSvdw5fHo27bznQ|93EN7+{3l>{viw
z-cn-xpW;;vF%-$t2J;8(+ounV-K-^twM$jQ#MCY{!VA9rFuUwa7wm@7Fp)w@ybODm
z^E8{$3p(d7mW;oWqU+VrwrCv8DMK78EdN)itI{Q9L_vintw+GCAYp``izcs!-<}I)
zmVb(?>E2LYEw{|1Ow0M`dp5R|?vk~;Xg0*y-@Y|cKUf_zO50!0Gg{qWbptGE3c_yb
zcLklKt)nLqYWv45prHj<vd|#ws|u5^`1$nPpQgE3#8ORUML^rKD1X<sqXYX=01!%y
zj_3&s4#`j3EKxW)%I9+3Xm7A7R8qm7%08$9Fcz87@N9FC9xX8@c6GJ>SWRW<T*W0Q
zw+Jk$hf!X^emZk1x(<$_Ue5G=`q{+kw#t(;J01kLC%78*722<0mA+tWx(zGXOMlte
zBOC^prERcM{@2o10ry?K<@c@QqGH%FubjUAJUi@TJ29%H=(BZqe7mz)xb?N;Y6=Ni
z_i>hY%;SKcMAd9rq4O~5av9q7A@a%eW;b^IM>|cxfI;ipq4+~LsZ;IfI`drjwCBco
zM>=2bxMwB$Y4@5OdtxXMk+fvzKAk5c^yyHCeB}#0Om*z@GCg_9yGCM_|KwgK$nJSa
z7X+7lJ4?%S7VOJZ@#}l<U#Q%Zf>SE>A9PXI2D5)Gi`5MV@($d!9_dKlPDQ@MiSL0g
z*2TV$B`f^Zz{2h-vPF@F(%whuN$9$|5$vpbivhWOU(3y%^1ZO4*Aas|Ps5A!6=tae
z36@5KPO)DK?e5kK?8$0iO>0d%N19qU`>B<utr4Fff}NI;V@NOF$TnQ=S){Ioq%Ypg
zSG0F6f3Bb7y#2y*ujz@_Q@~w^a@A_^Cd7^S=X&0sOYKv~{-@ZWo-KUnw`G@P&o*JR
zUMbtpEth0;Ossx4%?BM<HcPYwrngt8e5_^WV${lcTvk35Q;FL4@w!0=@*mZjh_x(Y
zT33%`Yr0-{CPIcoM^oSxKivbLgD<IVS#nb|P!=++%{@k&+$y{m`>1}++MI>~9LrUd
zJ*pB`V{^=3%3~ELwro@5MqU{+9*q>O<??JP5QoxC1E=vTmN09@KwZrcI1WeMC*6cf
z(SgYzN<^OC^iZ52Mq&Tt)}Mp>w}it0brxieilw;{Ss2?6G(m3SQ{VZjr2`>WrxNOT
zVkFCD4*W6Kvckv+B@{u~XdV{fMpxXzzzy5K5cK?R#Nzdo{W<ba?uzSVK^gE}I_>c6
zLMt8ovUIM#sk|x9CsseeF!4?4z4}glwSKwtY&UzfWL}L8Nwz-W@<q13LSx4DQQp(k
zO-*3UG*|cTeLNa2WA((Yc=I}&xY>3+a;8H8p94f6UGaRwcYh11nlPf0O*d%9E;?+j
znY~V}iL(MeFmamztP5Un$_<USWYwfD{Rf@t@_ZBVvV?BB5`s~}Iu@@8bMqic(8ilq
zd?Y~u=ApPmmdK%$X(n82VAVQ6|Ib$eaAo7$7I&z4U)I$^%Sq0zjJ92V;RMZ$v9FEb
zVwg`BFVkLh1AVDEo2g*?x?~sqE%21x2OYTTID6uY5}Pva?55%b?V+tB0hz7%r13rY
z;&C(FCb~Yd><V0CZrH1-W9K0?+J(u#?Zce*^?6SZ>ZVlZV?pk_DUtuGBlnT)l5|Iy
zH&yYjZoc1I6~iP{FF7wFW>oK~CCq(=)AmpeO|JIkzLigbKa9eFzey}pLxHt1ptB~A
z$%&$@$ufG2zwv9O-!)ymGgVr&3pWcYryTbcO=)K!>2X+-Y>6wIY8lSTo3T6H+PmXM
zj&%Lf+;YO(mrz}=yrZ`nBDm_BDL3D4eaDKU_lXIr+L9<Ngjv4=l?0SWFf`yt7^+tb
z3SJe4zqP5AKXXd4F(bwvJaF-|*b`JUadEQPlbo%vgZ+CaiOii!O&KYY5Z{^TYjEo@
zA5_7q?L^4**tqb+rCP+uW7?A8HRRPyLQkN1Dc^6c?C)6SYa0cx03WcM&5U>WSb4U#
z9mTSgjlh-fSqb%f%WRGyp66bn;Wf#3uh+81iVKCcVx&&)+&fr!O(}nc+JfZedye>%
zN_EgOypMq=qB+%W%SZJDU=3G{k&NxO=x4m6Gs^=7c>-E59?koX^=ayiugbePY^UJh
zuCB9HC#?plCszuVsn0{Sx&BXO1Sy-R5UF=+?_#pO$mMcahy(xE#lxry&Fp!DC|-6&
zPa0jB8EQHD(g|Vh(|C!!iZ17uc&g9m!GkC4$n4EVQY>ibwRWLRGM*lFf+&sc!A=(y
zAsg(`_rc!54K|w2{rg5TD}wVvLGHS*Ek!c6AOTjWgTu>snWefwmgHDRu`2)L(;C@g
zjY=55D@7i+MElh-U_BJb9D5mVi5(984nq6-ejX_iSG5fw*7P$XBLnyoa_sn&>LGe~
zGTgKZ0~xXfH9jgl)TAs868L#eu>m|6AiSf1>zstwn6+)}dD>^&R<s`~ZdGl71Ptm?
zeL<ecULL6-XLou>_^w;*5eaInpQKN2NHAnxrx^*KT$PuFM1^qZAp!EZ^F-PNZBhh|
zptXt2K<5r2=a`5?w>)3-OF0q)1Gp1<@Wb4dHz<nhBR(KN22dqz-)j3aMbYs(e<Z)X
zfNPw?y&gu%v8q2o(NRkKbI1PyW07fTD<R^9#hLr~w8fXp0zG03#GLzh+|QKD5-z&m
zXU=yv2<*gXjvPG{I_fnain{5AR6>9xoc2}(Pnz;}7$QPb8vh_kKYH~b8K}$ybo(GF
zk0$USnfYtG-Gd}PQPsn^Y`R3vL5UJyjaI2rCX?Mt_1u@j=A01-07b>l1N!5oL7e%_
zBhM#vumd<nOZzPh14MyuhXI%>OMt5_g?7^vTGNpcXJi(I+nZG`Y1&W$qhC6~>zi#l
zt`)TCo%d=k>edV3xF|))ja(wp-=BPDqDFlfJRUOPX{%jRA%r`ONh@m+7#T6}z?85(
zCe!Vc%Q}<!Qd<0BjYF@QErSnZTP3oDgID*Q*q1!X91R9A__nufX29j~tq>8IRCalE
zkmvT%{>Y)*^}0shx*g(#NClW3duI2)qty$qu;CbVt}n`|&QH8Pvbp}86QYFqdgfa^
zhX@&Aq<Nt<X$Y44#q?LleA>JuI{{OtQEND5$K2A0FvxLIc@ydmY{KaZa80pG$re%K
zccw9Zr~q%~)fzUnP$g*hZ13>o`xO_5IsMm8VV~GB&frvSwG-&7?Drcg_hO~b$c-_k
z?*tu@A*Lc<$h`ip1%`k}1jw82&Lh+tjSG;;<BpELkjEsb;XtKDDe$nfT`8hWEV$>;
zizW|Q*%jW(Sf&DI;j=dIv@$*}D%pIoXCGKovNSx<vTQ{$qW<L1#7yv(JZk;3+9+M!
zAuJ1cH!u<dFc7qe>(=gejlCE42V?dEJ1b^3hWQ!_YRgAdk;}S2=-tw@#Q!tNyIW#v
zEk@BjZC@X>;Fab=(<>Ggs>Y4QR#Mj<J}4z@-^H~jYv=(oB~k(9XXyl41fA#xY^I{{
zQp(MXtf|are{XHC%BMVniwT?e_dPq?jYSJ>J#HA8y;&dKe?pTv>Z!_M=hr|Jf@EzE
z%^i~;cg+U&8?V0x`rBbAbzJaK?w>M%0i|^RHy@NX6>+wC@Z^@Hhwc9thIO9G@zwIh
z>qSx5nkx6ex=k2zOk8E_`z|Xr6xr)wGz6K$>+Ei{<LN0Ex2HB>HLLmJLB<E<4=(|!
z73ekTl|XVcZS|2Cq=WwuE2%Rivd77th!m@yvwxy<yup8NGHa8CGRA^2@yR9V`bE4`
z#!bWggbU-wdjH_<e@2WGkIrb6vxzWWUZyeNF)>OUR#Uy&(qua^<c!ze&I<tkOnc2X
zHx{LzGA49uph3zEJ#sK$UOkxzf9jB~!+}SShdsc%)^80RS`jviV%pk7&YHrzkjaFY
zEq<NzOxo8Ix=w+f4Do4W;maoAS#dRR=hlB!^Gq_-F}hBG8Vhu2V<``J=~*Ldc&FZX
zCGbqr-vPfy5S-V?g^K^LlPkvGZ>nvhnf&n32j!2Wr#mte+$r22n-4M5FcpHZZ@82H
zHxpW9CR+a{kM%PkeLb)|bO7NYBZt7u3Xev^?9vQSBPRd!0*?p%^xTXgBKuty)~7u{
zF8bzhvHd|Ksq;Z78$Ku{gmA)1<;75>e>_gYL@5hnlx3+0&u^uIRCs`|<)!4%dG4jM
zEJ*lml%?>9%WuaeG9)XMMpUf|R1P4)S(YEKwz+1u(4zNv?4!^2+g$zIN#Tbb3s0kb
zFaovwE#U)ibtOO{`!V0d00NMH28HBIYYd4>Zz0#*l4e8P`ici9nSNqI^<+C<>wBU^
zo<AWOKw1t16ykzl4t#h~$R9&EL~;WNra5>q`2T{o=x{QzOW!;ZeDaXp(*jm`+$S#r
z>w+_PjTVPY;h1;eg_2G7ZIdG9z?k3>LJ&NK`lzG@VEFhEB5)N707?kh<lDLg5q^6<
zAd$vaQgI7s1X-&mOKfwiRl6l?f)e%9t+WaCl=j_!sUSGRxJ&!E6oNF!r<EXGE$kR(
zIhhR&d+wqyWV^3g3p&9u;@Szo>W?76m;ZU0{a6NIh!<XJe^N-Hcv~8Xo(^(|_$b8A
zfo&R0JVbs*^EbAfRh0VR<?Z65d<F)k-l({DJ*fEoom@{*HO#@`1Sp^i;S!9RYKj)B
zAe*=e)%u9UoW(8Le0H5A{H+%6^tm?-!3S<{A!909$5z5b1q)-!>9se{FzFh<)h;b5
zjU7HkCQb6U+{u;G<KyLF(*KwIdH!hgRqZlqF@VNn3=}nZQPdmPv5^>ZM$2fpbK1-(
zV;1cr`pL_>HvmjXtceic`AZAFAs9^YSWk#J;HF#L-)-d>tfNI7^3oL_9(1uLHc=vv
zKRs*W<mjkpXGbKESZNw~NQx7cl=n0=ye0<40sfPOlJj#$<N2+BSb%k$8{NjGzv`Yy
zU`zR<dfil%j?2wPZ#33Ti%;U*@^?E2?jrI7D!ijvo0OTLD}2B@T;2MpF5RJ?`j`4$
zfjg}Jy*7SX(wd#MGhPG%O$)_(Rfp8a<wml`%h)^zOu)m<`ptH0tYV+*Y{OTpOlR*F
zEEw_g4*AvQI_E_E>>U|D&ic-2c)Gr)WgcN=_w@1ahK*D%e0X)hkHNyM&C|408fXNi
zDwYA3`@Gk%#JfGs^GTg$>MqcXkR+zmFzQ2bIGiKF)uQrW6FlfoMnGjdpuwVoqbn8O
zMVF7Pl%B0HgKQ9q4}Hdom0mWz%J@V`>At<Wn1l(7RfGheWZUw-hvWi+Q@I=Q;d9gj
zm0(|QAACV@SX%~egm+><1KgTYPE<+Jk|h+r5G1T6t0y9;Mhe&B(gvb3Hf%nRui{Dt
zIn=r7EnyNuJsERIIT<XnoiD1BS8)V~n3XN8ld;Y{7k_DmHf~!llu!?nxTPg_fH@Hf
zqqRf>6Jb&T2Mn9DZqnO9xSPSQH2g&aR~~YSQK(b4z)8iRp}z(!q3hv4FwGg<6*zzn
zh;kk@S*mZ6rdlAOlCWj1rknya9X3{k1W{h{rT0rV!sg0?<9Kq?IB@+Kr9Wcb9EGkM
z*1=$T)R4(emaJ%Cb<k`K&Wl;|^jlUByB$8j%MucFD!QT<+;sH~)d6wz=gR)e=B?WP
zI;f<v#uq#ut?`k(WTZ`1#kF2^l4zA=LP$#0K<1pcT2KL%B!{VPiW2|)7bfCVkV(Un
zEJZv<@1RA|c!wTIVXbd3#7tR-Hsh-atUaQ&#TriYOK#8#L|#-#)3_|;Yzdz2b&Y|{
z2N5f{WgBVt`!SFpT+76qZOV*zs)yWsP6C@faTu<vg6}Pr?k<d`a-ire3V3X&Z6jS7
zremHG`#jqCd~)=?_5WQcBLu{Ax;fTROW~p9#M)W$t%HY^pavuXE@}x=cpUQE=c9#y
zuMP39?w5(q?dEXO@N&OFXc=syK;5)*#d}V0#$LXJ9T1_6+M;qajCfh<Q=E|NPbch|
z3()R%aN25>E+xa?lxb0oO&Qshj8b5P1Iz94h<oDZ+i=r)aCN}yZm>v)l;(HkFek9{
z13Dx?-Eg@;4ounhNezZbxW!ujf8%~c=hu&EJy3>r#H9y28h4MIx2IV$_1d6DcDs#C
z`xBrJfFMN#JnV9nST;!l==3rUh!Cd_uOg^M(I><>q435To7oVaY+hPaMHj*@Y}Zk~
z5~)Nb-;U{Sa>yjW$2IzmKw9&Nl>L|C&m@Bl;Oivl@qVx23BlZBQR692#!?Ut6j(EL
z<0yp@VKAbywKQ1)CmJjPh@5%h6li>$L8xS~^=ErUU3RWQhHPjBUQ_e5p+nJ%q9P#>
ze>kC6>NvAy@4~8vrtfLIgo-^M8xY6yWC3V5AI3lgSwxGYiP)PQkg`db%)_MMP1enh
ziX6Wo3Mh%JNid6pV_z2&1O;Vm#u8+ue>NNB*l6R+BeFv0-9jZLtRsLm>TLxar^N(S
zHe55Vav!*q>UAB5t}GTLDz>a`haa{)-|~a##nCUh?F`-|_{?MUiP)n;jHGUg9QAxy
zk6teWM6z}peDc@oO8^+D$}qU=$msPG<9EHDR(qhz+JMLu0w0>PWrHD=?gA%j!Tye?
zSPhru8N;OdL<?oIqDL+ZixRMKV`s4mSD;bIiXw6e!B3--D34YUn#7hCMtk0iE+gHQ
z@7x9n-uIdDDue7Z4fc;WmV_&El}QMb!~`;%P7@8HD%c-osliR-kd0qf#Kfo=uX6%r
zKI5>c!s2?yXq-XN3@9zuoR_H&lT`;MLXPPZH^(WSBrL$q;4}1J6+|RRx=nCH1&@5P
zOMxe_7>#()9tb0#L8aDBzeIn!RG&`Dt@Y5{aXNMf5IWcRY<H*f-)yH8hYGr?r;k>C
zhEa0!<1t|dqpCo5LC#*P5^x8Y<r6x*ihdE~6rMW?kcC1OpC^{dwTMDTWh80uudo(0
zLTO&wDWxTuA9_f5<y=LQ(48kZM5&91&(ylxgH}>e)}B74zFrEUnQWqv{l)6F5f)}Q
zV;mK>{Ikz^!FzYsLIafVOj^8bzKoq~bjq@-WA3s17Cko=c%RiWYNwS-M1a+yew5Ej
zdH4EM^;#5&){etUMvC1Ihn8#pv7Z*%QH0}Jojd#&r?c$1mgjE6PTjT84Z3ca!?ieE
z<3+u;P#?cF?4*|GY{O3DB=QHzFVc6KYvIpz2cJYAx8dBZy!}19pO#ut{&vUeX<2;O
z<^LV&G&5^Z2Xa_pbF;J~p6Mv5K!xo~BWCa+RWVhFG^$r)hx^OgsqCDnles_CAK3|p
zdUbzY)py-URrgWISk0F<)iEe-?hC!A%b*2xMp)EDC5p3Xyx%)Yoywp4P(tT3w)fV>
zUrMy1zZBYv@6yjYk4Sgi^AXS*`|@^{g!|T0p)pdM8q~aIs$v&i6O{R}XuU_!#TD53
zn6q@|LD$H{Pu#m&hi1iX_vH4{>1Kr~>-1kqyh45h;ES;Mt%)r$lD$#bB32G0P6Vw!
zAfzKbqrf%(AvBv%Zt4wH(pz@F#e@*OevsKzuUf1ke-Ew;4mX8yA%IyTEd<vqfP_Xi
zj|M^xn$VsH)o3%8s-WbgE)P46dUk^L4=k+f80%VH*BZJWB9+<e08M2G>AwaasN~Z8
zac>hA8uKzz1$JxYAVYL^VPr`4;UV*UqG@MuCKms&U<r0>mY{-EjKO;d4QUZdLc=NZ
zWCjN3*&~52GA<-UXz#r>=Gs$2<=t1N6PQ#YyiEfCzPG-!RMY+oNk_tDzbv2Jl)(OL
zf+MmWS{G)xAf~sNTR08Aj85-(wuK>%=nraT`M0pgywX&{Reu@E{C$+otcX!8H*Gcw
zUf!D4kTDYP|6lD^x^D`C%O|1H>MF1OIHoc!W7)bL^b5U;Yfb<$-c|J$nm5#W5IoDv
zv-p{O)@ziuHz+MIKJ=p96{alEhwBJKOrjq|0#nWkz<#`>rI3ts$JT_$wB~`;+f1eS
zC9o=9?Ryk_^Fb5^CUicJ<`0<2p+L^@iW2CVSUj%bfA-EP+Ccv51thq#U8)29Q<`=B
zr41x6Q4bM3ZF+g&^TI;dUc-zu1|v^mL107)NUGJ8ZWyd6S)8>|prr7PbjMY(0dkie
z>I!Ipm4@o9Bw0@v5|50dAY4I6R4wyE7{m?$xXQ}?YEXfWCfejfl!Qjq=1wgw1bK8!
zP)cBg)W8GfQ2%n@;dI#=(uU<<Y=zz-LQRe||J3?_G71jW1XztFC<rwmHS7^M&<<4u
zhcGle#nJlWs*31Wn7u}JQ8gS<x#<iQ`GpWxP#&g~zK#=1AQQUtpjvL`(#Z`WFL8~R
zG`=PyrBPXY@7JcRevMS6`ZXgWNw%6AK5m;VffUAt%&lrf)5h*`!WM#IC6t+-YSrwY
zoDj&09E$3Rt~sIA#~98DimA+7gvc5Spv*CdcNa7qwSQzlNfE=Ai(F7?<rJ!^5=4Zh
z6{_p3Iia`q7^(@6YE+nkv`!c<35lyeCZi?RhBc#gVhK$ni96a*)9G6WiIl*qWi9LE
zP3+QO$zM-Ja61G6_~p)D;GounoGa{#Sn;5}n!APhbp<9**2)go#<F@+4Mi%U*JY>o
zIk8}by(bEI|3?|}eB#P<=Zz1$I9F7#0#F)S!MF;33BzztofYh@!D7(K72}CavJ)25
z*4Vp-{)EjDvQt>oIMQ4|=PezJ;4<}1oF;|jppF-MFz3aRD_unyhe&loi1Bob9Mm6y
z;e-PsRf(S6f9et{k2r?t4g0eY>JtN&g+z@XYDiF?mjGO0XBFpF?%j1sRZnC=N}|L0
zN@DCJfwNh3QizzIuR&T0*8-I6K^b9P?ZzQI?LejhGzBbKvoolVyT9y`NsM2SK^;K`
z8PPwfF$lG$lm}7NyaWOa`j<|U$GQ3Fvk?_B5s`(HgL9erqBdzG&cMK+fh>rK=tr3M
zllc(vDlf**K(fsSnuSYZJvsF`(+MyjO0YxU<^siy{DcSo2*mUMc8ExhU!Y#g3%-W(
zeeyVR`Nrh&_d=m>5{I74fjoE0au|x_ac01wj?akSiVVEsFmky3<T1LzA+{*@UEcgH
zRj(_7xe>@7jz$}O%@uL)->`rG?zrIx?B6LPk4ikv^D!c?#GO+P{F0~`$$&K9e<mV_
zwtoaiQO{`f|CyAw1ITDVk(nQZy8PHT0@v|zNtv5MX~i5IL!;3i7R^oK(&!$TA~2XZ
z$skRWwP?GhDG4YeI!Lhgt~z0J|Er^p7{oh*1U@VLcNUP01Bhz-tnxN+F1Eatu(VcR
zG2<>QJG&UM<NLO$^-JDC)02={dJizcV3kGU<wk*U#_P)SccabjkGx=n>1Fz1-ju2P
z=AbjNG`CO5R1IRZ09X_eC_+-c97i<P!XTne{&x=UQD;2_(_l&QR+63eiL;@BQeFaa
zi-e_*5j7JFYCEhnYg=4tQc41&FiYP9Pn@wlYzXygBKaUe<+HiMI8u4LQYq=*AM=&M
z0UD9`T7hD9k9!SAB26o)&IuG#_i!&A%C~?&b;(62(h}jzF+Awer>c?jbjZOP_(Xab
zQtd=2hLmA$uoPSSu|E~?TMqKh9XbF01d*OM$jm3>gMM}TeG}woqxr*7nY9;09>UTc
z6nexpfXK{?ez1Yv#`9|vGuERp10_DBt@+EsGdedlf+arKFhjJB7!M&$(df$%{Kcdw
z9)dxh;*&uk_)7$!V$MO5kq_`GKCQZo6&_xkHJm14mp&)(q^Kmtw!nzwm-E!u6ioi0
z@H;@REs`bOCUhs~?}L;FcY)$zKxH~+%H_d6=ZKSu^=EtRm=&ycju|VCjtL9Wlo1<_
z_?R9H)>tHdT7wP8C8OHUi8L?XG{o=;kDcAWg7_fOl&@ir&4$cSRcH!h>T>Xs*=8GX
zUQ~>DPupnFK2!rt02$X`nK_cSwB8Y_GUs-2=`#E)Ph0ej2JpxV(sO)SGcEwOVQp}o
z_i?hnC?JZu0dp{<^>i&j1s>8Fq!A>#Fbs1bgawkbh#5G#P_7ZE63_75%oJFx)}9$K
zj0y>k-dS-;^dZA}$C0igAxAVDkuVvNQIauro+~O{+?qPiINbER>5AIs+IUG=2zM__
z@}O?eYrG&hgr&kgVOrx7XS^&hq~>3_Swajb^>5Td$?Ja%YoBXj;h|Jq=)nFLDKa-4
z7`+@>M<zZVN1*b9*;8d{6K83q8P~RVe%TLNPqTl-**@6cqU8YllI9pC<6u@DFyj#!
z%JU8)SlH{18k7P6N@ze6S;~Prf7-kN)$wtQC2L|=_xmr9AhZ5(g_tuzX>A|OL;WwB
zNHBh*sR8DH(R7Uc8%+{i|BI$%pWkT84E&9z3B0YAnef6_>)ijGSHe7D$(gQ{pdC>5
zvSq3yvSr*vo+j{d+0tB2ctksVx#rnQD}jy~-K6w)bgSh*R~Bcmd)~Bwo=FM(W(&?C
z8?7=fCcg0#$Lmh(DXB6{;@nC1{~i++GET`%JGRpP=RwF4d)-d!Y7aw2@t%{Gr$zUZ
zs}v4g{-MSQ08jg?h_E%{9Ic@BZ0JQX39>bqLEGLMMQ}nL$YacWms_A_Qo=-s7DPLF
zdTm0&$|Og)o9=Qp*2gZzX&#{~RZt6Jl0>g>MAIKC33Srvrp7n~ZcV@p29TV}!Ka~X
zL7-`ze1XHzP}kg$-qx(M@A&_iVlg$s#j((Q%ht#9+%^0g1dIzf<>>DmHLI<9%FW9P
z*G_Lo`f1p&7Lnq2u*1x#R&!34h#k_om4PTZd%!6jLKgUYK1lTUEN?GA1&GKR1zpeh
zi|ic{JWM#<i^s&pzP#$_ix&Jv<*!f>D(q6BuUJG+&6^adz;iP!(?$0z^6jc`V|d5W
z_Iq4_cs~!=5jpa=!ER>y+cAg;2K*IK@R0wvokX~s^=}U!-rK#?%z^{CZsjlw50h&x
zkMdT*izKH4GELK+w+~x8DMbcEhXSKU7(Y1oYL8I=1el6_?cf`9Oo@^n;S43^0J6{D
z)doFaQq;k|+lk^oDQY$XyQuUF$=@%ZJhB-9p@E$xOd2x0&@^n&-G-6<Z!Lr1(%e4x
zY8Y<ipKP59B}7(y)`y}{N7SgHA<Oh!$&x(Ygg_abl~~dA+z5V+5$p`eQ=nO$-%e%G
zU906GF7I(lC&~J4PE;gnQLG)0s>GX}F%cWMC}m+{7onkn-|vT}f?(dt&rTV;i;R#9
zg}g0H!4&xK+%}!&crj^-a~h4En9MR~ffnU?xY&oP&BD(q@ndt?K&QgZ&gO8A_GcB6
zVhtU<#wO1DD8kZyT{1!>yvU7&L;|Pz+n-Y&pMy-xRF{D(yU$l*5pOSJ(O%7o0fjs!
zLkk6N#&3Jqg{y2r=`H~K{X80b7V=%b-z|~-Ctu@xI9)%hsAE#3XyE4HfFy-kJdW{x
z8y!EP#BOUqKh)3z2l7vs!rRubS48*os2WSABmX>?7Xc5T{c=1M<vH1^$F^;({Wub`
zmZrvP&|d|Mh0lyk8y7*Bq-00gv4%3EP+J+RtVCyeLw?_uyF8u8K^RqE?iW$PLZ7+&
zZjH#TnT)nPEG#$@1U=HIt+QLK$8$B{ufjG2Yd(^}ZCd4i8P#mzGD<xhvkf>QN|Erg
zGWrZbB8iL9zd2-RZx?@Z(FP^!7b@AEt}gHnF=}9vHi$6GXvirkO6KQudz)RHI5n#@
zIsIjNEYf)Ytd6De$Q$_Ujd2iiVt?*e{Boqn=-A7#$^V>5ho2P(bv-0h1SPm4+2Ite
z$USr;`j8cW{F54n*Wgd-ZY+!U)exKu3bEf4obN`XH*Twg!E@i{)?Y=8rvkD<FQYBI
z)mN7iDJA^riE#{PP-8eNDMm{C9Sq}`%HYa$N>Z30XwN*jNx69h<FQtjG}K#QaE)@D
z0+wye!c?%c#NZLwR%1Yjvf^1Gjg2O^cVo>!5jLW5xq&T~yNk{-X|mrg=Nvsag#RfE
zhdnT-5#H_9^9<b+RFfJl2e}mSzRvr(-=P7Hse;1JW7QeadDve=PGrrZ#w(*UwEdiy
z8Z8ECP<y$EJ$e;fPUoxs8rbn8NRJ(x@Y*UM!!w`_QjZil0=VUjP$*BwE@UM+N*uy9
z^a62B`72pK6N$}iUWcuw#7e=lGF~Sk#0lD)4E-XhM)c4Cl7fKix$qLk^=79a&=1>x
z?VJ|g1awObDI<yBBx8JmbI%_NVF0B*tp0ao`u{X_RY7qz-4+P$?(QzZ-QC@t5L^e>
zFu1$B1`F<Pfe_r?J-EXFxs&gIxsOxTJ=MMUsnfmJUTYnM6j;RM6Qay{94r|ebsx$V
zC3Y{=mI^T@!Z@@>B08BiV%EGB^!PD_gA_H*i2kodxDu{CbV?@{bw%K4(gN8dVtNxK
zm<V$c#@aM${Gm*hic(@_U@so9OYDE}YGrasQ8PRW<7l?+=xQ^U6=R42%tubpUZ)Ui
zZKOnsw~aVF;9Y%26qpI&8tUrtg}-fEaAZWC`M&kkxPN6A)b~if87u5tu-Ge@?!ndJ
zmdZ_<Iuc@SucwdtiMz>-R}#U>YYYwzb+|)%M8~ZK15OsiU=-==B~q=8g9!YwuLuYr
z_jrtM9LC`r){7#^q%Z(SM;GeHK4__d`QjFvCAkCQNY|K!FYKYQ1pIy|MotO$rdB`R
z?C{&l!#dbxxSY)N4($}MWWh^-O-ACPMWwi!0q>g{cu5;qX~~*l>+oB)B;r6JZkFw!
zmXL7ZSxF6zA2JyxH7Z0(9_k7j(%3EdtTk?y_brUbcXce)MS-WC2;-&-X7im0oL5~J
z2YFe#@OigE<I_l8X*oZw(LgTGD|v73(P4&+b$*_aAvY>7X717R)V^q0X&*DuHOa~(
z-LBaBUc|xA_eR8-Az<P5@X(cyadalXHRqbdeIklt)N_wHD4gT~g#yNT7|m2a?=F^e
zHYzV#lxp;i{mm?U=b+_o(of7)))O59jLLfkjrFw}p_{~{Q#CiH03a+DwWQXXLCj?5
zB4co3nSx>rFU}9DcsURd<91)}Q8oF(BQ7pJj}NW%suXSv7eCj<_vgB;(1-<oB&a!A
z%)aSHIA)y$N6KaH_>9RE?Puk&-pH%b+eFc$R&O`C2X;WXM+W9k?`}x%yADLj?VxUr
zR^HipRYaSi!8o{X&%g8MM>t>$jQ`;;sY1YFmhGU&HnQ`ie^mDW>qm}PM4!KWzTWbk
zVEV(#LwcFz%=}$jY7f3c<j?Q801sSB!l)R$8>Zip5$eJ<ebMy9m2sbxrMWsMW^!rv
z(J2_IT&49TU!!FAVFHDdL@9p8MAf*dA;!KW%bU{`42)9{VCvmU(-?J5pz@w{{`nis
zNCHE?h9M|MtK=&G%~tehq8yN(w8`QKJA<WV^?fUTL*JeOm8=BcWMP^t>v?ht=D4^I
z{wh^Pu(5kn7_6P9Q!n~8uT%7c_Tlf2GpRd=&Q<mNgOT;Vrh7n(d^O@*)3fc9&U-Ux
z;cqDKJ}M1)K`R=YhbwFLUf8d+mEPbARX#&%$lAXJzJ|T<hQ6$x6lpX^4{^^dP0VvC
zSVDw2()M=aXd^e?ngAwXh`o~X9T!Klvs3hSm@S4!MIgf0r2~y!<yleu{|2(;(43r_
zIG4Z|ad1y=iaJG~Zk6LJXx<rfb|}A<pIj<M7jkm13W=JkFz=5Pv}q4ic#de~W`n?D
zBMbQBmz&o1f;AjPSGUWUCXS@kV2>~A-f5Ltt%2%M`F5MK8G|RK)Pk<P!@SZG1vnjP
zQgZbhvV(w87Aw9GYHrL!4ksoL3_imoA#qnK&Nj7_7QkK8dS)_Ab{I{L_ofUrHvRKW
zoEPA?IWE8HxDmOly`|s4h^96k=&e}|#-xJtyIPEg^XN97C%=J5L`L@8!UyIcC!8Ry
z5kL!iCMof!^sfEtwV}DrR|Ddfwtmqr;Vpf=UVVdn4tF-pbe0r$x-Sd_u+wAoE8NPH
zGtnB2uUe_nI=O7ioi--U;aeTr1Kj1*-HFT4+@Rx}U0-(k(#BL|!BSFs@9;x%A+7QQ
z;uiUk5XW^`g#Z5NDyq<IxtR>AmY$|MQ;HC#Aw4!b=11y1<(xhCdG?(HYL$jt%;t`m
zIJ=oUu(~%@%kqg+O$}w`_f8cX!{W{b5;b*BE9(w74b5YEGS&blR%HsN?n~|Ee~PI#
zt{{_49Fs2wQ!&oEOGi4+kvCE5ML1g!>mFO!i?t1#gg6G~8m+rbmDEB+8CoP-9d7m}
zCmXn^gQcA9zsHZ1fNI{oJ1Wvnj5f;#Uv(lyyG--WJBG%a4dK@M-txqU+G5^Gx)a!i
z4I>v5Y*MrEg!>6G6OWTI;$^AWG0qE_AX~l%@{m@vb`!|RL*a7xG<s7T%vr*dAkd#X
z{p?G6ZLg;-WF@p)Co9$RDv}&D?~2pkLa4lC#5v~h*VMGo(2Tpx@oz_Yu=c3rS0ROV
znBOPB5W}em{B-(y<QQ(`XH)%i!HN!vp*71jmdycClQU1~c7=9~6Zsosx&Nomrp#YJ
ztj%BY)AS>yw>r-%L~WV)w+Lo6zRuwvL<qLAp)gU7=<vLEZW;-2GE;9d(2-|3K4?*&
zD5!KzFfhdKCcB|oi{T#h$t#Im)k0pwY|g30JF@URs0M11ddbyUpuXK6j<NaO8Y0+}
zm2#L5>gQE0beE%;dc;15*5<q>&-+uESEUz{?=pzF-)1Cs$}WTTvtc<}w8w(3E0u>o
znKrm=lvEz$q*x51L!_7>Cb`&l8BN3jHhGt`NicuX1u0Fq#47<5<{B~?31=I2a3dV-
z6y)q~S0ojqzb-(|WF_7Ldg{~hmgAR8nJKz{?IE&|#bbnt>q^+A$YK~62<^iKtMHDq
zbQSYTeX2i$kKKB$Np^qd?I*eF{d}rM)Ofgec5UmrL+To1?uBa6<l%VzuFG>}#GF;j
zljGDc!5}|=n3L<S!%F}bo_&QLmz>4c{^cC8uZ(2LsQRX2lHYh)Qr-5*ikm*7mYwdm
z@I{}ibp6L~xB2w+qlSAF3}Ft&`rctH$*)&ZTtu|j-paO>j-pG9<#4z2qhF||ZMM|>
zi+S0ykA~}@3REb35ej3Y6Q-JnOITNmi#9w*(sNpyxq!~A#YHQCX<QRc13NaH<B^ig
z<OGX0Y!Ca%m~#G`YB8(!$Q9nNZMmsshwW3p>nt{Ql#PW<oS7~3*KuVX_jn<uQ?X{9
zl+wFS6qK)H&@F1kJg3+)iv2qodOaRTH1i%E&8|L``oIMfLFVDm9)Wy&XQB7z8u1n8
z-4c2dlfu3F(_*I(vF=cM(~=@>=X+vNt1z4V3@fi)Y_IPbT!sVexDK+NwcKY9mFj&+
zHpxlCRlK}Mx!q}VI!7gXb$U&Qbwy#>k5C!rL`Q4aoI69pGV+5krfU@+AZ&d*XONPT
zyn!_$77Ns7ZhXJO+Znhhixk~M>=eb>EIc>}D~@QSzehu#chnk;>|u0kh3TdT8$NW9
z4S$)yh|0^xRMJFLNU{%@eQst0qlDCEm`%BOG19*YNwuV*9us#1nV~N1CE-~RY=&zk
zhb?A1pCNRUgTXvBPi9JU0>{#F=v09NHA{6w#av46vO??>+BlhV8eYVuq>z51%ow=L
z2)b<GesW&JbCWgSu0k$f^AV0m@<(aMfCXoSEXTIJk$a|rd0PLQ_Q#(65J`ErZ={@o
z(^|ZQc3`%98V~<x1D9XFcHZ>dlg(fNu^rSDLs)PV!WIwcbMVSMGCNa=me2_E4O-Vq
z?^%(RkXyQt43^SaiFL*I7S;3!9k0H%Inj7R7>1v^>!1XF5+}dy`T!3flk86ThH3AH
zu;9mbEdl5nqqm=NzGAM)W+s<OCMD9rT+*pbYNw0dp7)y|J~xc&O|U2-RK_N25APWu
z(@xsknZbm{YDZ|ftHE4QDUD)!S8@m`mgC4IvQsE#c*?A6F=!GgGC`ddmE34F1q{r`
z!BO?L!79w{RBqv?66iJ*-2wm<>9s>mUrcIYqvu`2jPp@d@y)aeOMr=;{|N=Fq(&jG
zs)G|7j>z|pwESCk0`~w$=Dhr&bjbB>kl<kg*Vf_irCE>c{iO&|3V36_(sj)gOcw4E
z-uV-Ln8D!DJqI3186Yh%_S=hi9h>E)elje??*<{|nC@M5_uHN44PvvZ0bMhP>w}`;
zA($KL231Gnef9659SyqT%UoBZdt%hNh(C%DI^54R=V~(to&#TO1|q~6ZFU}_%zQd*
ziu8L(DIOk{$WU>5oe5j0U>gS&?+*z>RqVolqjxl;)d2W(n4Z5@Ldiq+)M7Iw&4cN~
zvD^XNcrMnEFi^<F`KzbJB7j2QD2Hb({9eb%YW7R_^{?+u0Y_#7Bq|mK1&_-qZyQ5x
z_9i^V%uf##!7$*G63Yua__{}G_k_@u<k09l2QOt$AupRs;mRY>p|L8CGIibLhw~j!
zi#!7MXrVZ?jkV6CV+P6MyW^jTPkL<6MekQUdILEMvFOL=jPzn!>0w5OwyzOgq6d=5
z-)m_mXmXXM2E|Ai6^^MG2-QapooV=nie>wN8Mq1PaOynFGCK&{6S8VbpP{*SQ1hV=
zhI|j8sg(v2e~YIiN<k)MngJ4LV3n(24#yMqnh-VWLj>e7lL^)_FcaA^BxitB-(EO~
z2_PdiTz~@fn8_sT7#NA{Fp{Wnk`lMjf|wy{;sXSa<Z^O@5VB&0x71qVXo1j&V=f0n
zjB-PW&xNvjCQ7nG5XFEEKH_uuY3y@3I0Fonm`EV8c@`(xE(AgfJG5{+Mk>ir5=u2W
z4ATyfkV2n>WVRkLxqi=uor+$(o{9jU1iRV16)Lp!cOwY|rJ^{Rg`$|8=fpY`L^1Y;
z*)(z}HN1-f1f!}1&QYwGT0V2dC$T|l<bi2u=)+NOLI`q&0hC8%F}V<kuD?a#C4S>Q
zfu{M@EI-OBFQF8jImVA(936<ho*{8-u{8*dUbX|<5+O=02!@!*&6y>S!VX&!@tADb
zhwX0re6+3MTJciUpPk;b5)Jx35+V}%uC`iK`}M#iRaJ*mle`O6es(?s{j;c38WLdU
zU07lg0T|ElMy-mO=ucv22fAS(UJ2XgxHup;7(zOq{psykIwxNzVWF`;CpQ?xEMHn8
zhNa_;2H3>AsoU6el|MrRz}OMIO53}-Lxv!>)eHP(aqGGtpML}K<$8ML&b>?!W)6@=
z&lJWbe4^;Kxt$6R9>QB`LLuV03y*OB%2a`PiKNu%sU0*wDTJ=Zt9hEcvMX)z`hL_O
z|MIYq_#z6?86$I8^3Fy=LIMVFv_40N=W$N4`sDHA7!&F5`PxS+YbYDr(}EEz^{AI|
z6HTpr{+c={KFMH=1?PHkh~V(aTVHFBhH2IJ&`@5VPojcN6hFc*wn5vkfKA}r<Uq1u
zuG9xTWv&1ASYPye7TC;gU^xq&_PIK8+W1ND-IX;En});HI8UAX5IFdhswzfsIi@Ui
zStIKLzG~JZh<wFNk)Q9tN=?Q_E}kkKwwm>nfvKg($eFogO6uUs{VHB1KR|U>qo_pd
z_|^2^lv5X0TH1<w_s{WX8rMi7_?Ri$^Wqq($y~@GXi39|Gl1{Vm9!)YsBkKKO^AZQ
zdu3cG`;kKouKGM=I^s+UgS1@oxM}i|OUPx^Fu)y2HVy(Vk`QqQ`N6^=$gJ;HgQyej
zXNuw+)*xvmI~F3&dS4B-C_Znj6!|-G;?itvAq%wAVQMTFn^9?9Oal%$-(ojA{vDuB
zYN+z_ZozjWLbOj5i={gleroizS;0U_*3RS^L=i3QG_`pOs@!yH>Me;00_qth9AipU
zrjdgge{Y0JT9}0IKxK}sW)gq|lbiW`cZUSq$z(1Ty_>VNHrYYAUz@#f%b;DvsO$^U
zJ^NBRidW{X+aGU}<AnaG!}3%5nKr8LIeJDa3zEZS73Om4S6luMmCEt4xEt}Y;G^ov
zJQ!z&19r;;BcEm71Syf7L=m<6$L>o=Z42e%jBBKUF~W4dqcTiQa6E_0hp3QYd5x%C
zW;~4&lz@<WdNZe1emtvGGQW`F(ZXl7+;}DjN`4{p;Cl`kI1-PQW+U%2h+llMs1j%W
zm2Kc70Mm)xR-$-L`qe~T#4$8Mt|;vIS1#YD=>3k*#|8k4{5L*`;$+6nzDBTYcaXTz
zc)Svz0@n)a2#AF2`GgxV!7oX&vP6Ig1JVa8pB3$sqm&{1lS!gs_BYlT@$=BGGi-r3
z=C53}+KHiPR=yPUoR2k764HQHc41HUZ00+mNC$ugx@MPIcji|B#Oz5;aNiM8EY|$7
ze{IO@i;ZO!vpkc58K^pP09St_Bu?MrCsVU!(|kK|fD$R&B}S2eK8rWL+K3T^Ax-n3
z)kgO}QLyz{2>@*Gc);S)SSMbS3HNo%LQ`lFP?MrWcaLm#gtJa~@|`li=7F^<Yz5sI
zAf*w8<Xe{n2~<ZQ`6_kOzGY}+<}@cRtB1GFa!I1Xo#>#CCCR`)YP;UF4t{wuu_hse
zNIXR*(h@7-q<M!^hu*+nEGX<#S|_(qsEny4yRhihq*JRY;+MTd*fihhckWCGex^eC
zZ8Kj%NXH?+fZ|FSo-D03Fvu{dcV<8vS^kk3Y_ZRf$Be_l#gR58sioCY85~QOJf`r6
zmbP_GOKcp=+`r|NU1SjIJEdh(RmJja?D>JRz!*GLbW3yZUNH+0@pG#jC2MU-W~RL+
zB!TL%YsQj!+Za+I;z+U2)2_r|9z8L#TZZ{&fN+H66Hk1|{AAq2r6mYE%ny!*DdRo*
ze=6q7qOMspy$-CsHqusimt*kNB)<Eb4tBRyO{(k{w5Sz>EDQ|-ik!<NBe~D&4a5p~
z6lu38jhzg7Rk%Ve<cXvbuY8I+@Bd@q{nI&%#9(~;0Vx`p?mbK)a(O&GC%e!4flS%(
zt~x&wv|!<9AE|=tL-*kt_J@WfkG#|AbszqO7B>%RFaCKSYEhC0lUtj{i)Zeki-olH
zPo4q>dQ#!1eBYA|IHFXwdYN^s>0FP~SYB*3cIgG0X(6eHaYcDV4SLW~R?zdMJ`-s~
zNzcriR%Oo4Nu#o}teV3QTNZ^8#So$SHT`4e6l1U%<v~foPp?smnX0H*sks5Q{nnvK
zn*|9O;>nfoH#nSPXCuG(D2W-l^NU9nf$?&w+8&cCXYLZAz$5r*QZC(Mt?p8MF5Rh4
zv}_%1E1@~GZ2N6vIOQDL&zQDwlP&A4z;byc0#_;E(VFf;VI>aTex%!skzX_!SDVLh
zky5&5Gy7lw%9T{d6AQiPj8TlnO|sdHk>DR8n>FpE8#xghJAW@?uG;J|IcgFvZYM$H
zY#A1-;aTKtLQ@W4xk+v;)u6cMK7;QJ*GZ%dK}tqJa(w1_j2Hl)wF1nNDJ7t<aC(hR
zrWNM8FT*GMYSM)k56jK9p^g^A8L|0u7zKyRKPfJplPyVdS0g=~a82ChsN^^NcWv~D
z$`YGZl+Bf=>d+xnf6bz2=CN<Zpi*5wLHykn-Uq;XeBqi6JWV`BdcGhGIxP)!O;Q9Z
zXAsFgED#lHT#hO{s~UB8FkA>ynd{r&gs4(#JvOyjD7#3ePXsDz^PDTZFRQnv@Zt+U
z8`?j2iAYoaRgw9i#}m=Ch`*~PR9<<6fJ9B1?L4AxuZzuH#?u#?3y`uDA2JNP$9?V`
zGB)iM$9}jpns7j9N%SwTd-6}}xKWe3>dUH&DbHk^x%UN__W=*o9}#(3Kcp+Y<=OLV
z{5?oz9KdlbCE;3f>Wamo1;-I14%yyR{ZohzIF93&K^F|Y%iBvB5sk&vN<tqx#q;qc
zat?nr%ZX*#-m&5#jIp&a>4=U^1j`89w55(?gyJ)w&+tVZ?7)w(Z8y8?JcY`Pf-GGm
zEo<g;cof``#cT&T@n5?9qS1gj2V%Ra#c!8^iD*#BS**m;79iE_)A-&F&(0je;uPt%
zQ<V+C37}<e7NPhQK-X(7u-TypV1*aljQV<_qDw^-k<AKUA>{YrhZdFR!UAK9FVFvC
z;Cn6#^U1!HD#Kf#+_K+R1Ke^PCikhSzg_3Bs6U}7PT=y@>o`Z3#0Q|O%V4S2ybVj?
z2$)lP!c)bjWt{L?YDy9}R=tY(JYJWC4#^Pw%Q7`SL<On<THt>fMe_w`6i(>BjKXz-
zGYYmD{FhPS`h@62f9t=Dx`^fYM37GW%V_6<gQ?5h`d5*M#1%+K2Du^l0KA_2`Iem4
ze@kiZGU+&<`9kz>Df1q6Z^MA?|CZ8q176Axe@#i|#x=Oq9v=|IcGmQP+=<+5+H^PI
z>X$N@;Y@WodW<UQv2O@wW)+_eADisGUZ*jmaF+@{Z^%ZV8r6}bYI-~vvzlOcGd$-0
z!1`+x5QJ~mAl#vn8Bg*mVtia@KZ-gdEk|RESLd-=RM2)pQJPRby8Ie*`q+kz{#lw2
z!lp+$0ZN9&HIhiQPo5Vww!m-{6^cooQez8H`TCJlDz9figrS0ilW;I}vgR?$u}~fv
zEj~Bve$hNMW2+%CLO5C2@rcc7VOLfOPf5(Q99RrD?ug_1Y`20oIHYX~P3UQrJ0?{@
zeu&!_Rq)XTA|IDqq28LSzh1YM1&Yi1kB<#SR<^}M4!1@>`zOJoXv&fd!t{9i$J<DR
zR(fUbm{H&rpbiF`oe>FO&mfFiMg$%zz8-hJmL<`Y(9YJkDwTqeopFr;TC@b0P%MmV
z+Oy!72QsXl8CP}De!P?Sy}rXnVns=m_sYGAHy1<H&{_*~ukmVcr^c4<Z3I*RlXwI0
z#2_^q?=>*!qT0UAc~MG+(zc?`b-ies*N%cJ9vrUc=+o<mJu6}i&nH6F*`6M8S>|yK
zX7&#b@e!}5T<autN#*D-GI4#ENO9<201mYHB0k>_Wx5yzNTX!cNG)b(Yr^9NtHe|N
zScIL%=4Yh@;@$qj$faNs+aI5~2sii@M#7286$Wawe?kiZ8wxWNxX83x%nf7Qp}in~
z^M+%}B16^x<xM3+wF*RRyCvMLj(hYi2J`mGkJq$TUwrKlZ-(++^SKx2=c7ifzalNE
z3JHlONKcI@K7%Xxu~em`8O&MYW7AbH!ciPd1Iq4w(6RjscjIps*kT87-UMj|Q2IVc
zb$k|azlB#Mp_uN#ibEu6Mmh@238UPA%wvyD{<^H`Dw8n3;+vQ+rKT5Sd+@{v7KTnr
za;w<m5_;Bm_pODI{8l7Fc3~^3c@2~4gkoeGCgIX98!MGz<Qn>dwd@x?Z8{ClB`{kl
z^y_(4S`9AM7f*~=DlD#1x5TL3z?8hzjw(}5leb^RSnRUy$%v{U_}kYAYRz~5oEm^u
zd|%5-_(9e|7Cy@RZV_O8*6jP)t-@hX=wQt7-TQy#gVm`2cBGE9)DY&Pq5vts+j}s%
z%hfyK&c^WG&Gm4kfK(V*E_LiZThF<;?%V+G$abjeJ&~LRYzPEZvP%6>q;8hd8vW8z
z>~2!TFF!&hKC#uM9v&Hi04~Udcz)o$`Ic~Ekz|6q@37z&f13J3*uNj%uv0aG(eG!5
z$Wp6vPLCibEy9GsV}9@)WS;EfvqbKZES#IDObh<8P_I5;^9P0m;g2W!?{m9(V1z+)
zM>H<X(`#5fJz?kb|8rWn%Z}<CZqHQL@pv@KW6H8+%3f(QuLo0!!j7A)L15qwuRJ~G
zbFzzg!YKt25Vr+M-IbiQYBO>(y-2AWGwU~V$rTm^A%=#&H|@*agEw}GvAVULxu_>~
z>rZe~T5RN@;h*0PFQTmVt~p{DUeqpVKIMGo;1zC!aD;GLomB{D`>u1Msxjdc6;^|k
zd-7l+#71x>bZ&s`H;5-gi8jF0qYL4phqYV%n)r?+$h72km#zI(eb}i_=rQX8+!+zl
z`ou0Rpf8;x6w%>V9eASLPv{as&sxxu&^_@}OaV<0F0a()L`@KJWV$7?q8}@={=P;D
z9;~boxheQZg2V1cSqa>eQj%u~%UJC27H5Dr%tn_&!U-6;$qeO;`opR)Jmo%+b5=Pu
zy;>5v-nF2SRq##H$!rRFDO5*p${8s?b7?D5%y&%wz~U^=p?xt61I&#}gPD%6V06~F
z<~0LF&2wm{R(dCoi3~~+|8keYVM_+seQGV>!_Y*Po%nPIBWN10Au+tk@BBEO)u}=S
z<ErWHjAE7gE+@H&_BA?iMm=S6a8OE$B^JIkB3dfFVpn;uGbXvgonGUnBrzaVo`3v*
zc2`Lih-WRHU`F3h>lDRbT*#i_jcF;-oLz5rd3UPx&^w!184+N}q2WX=Qpl?q?smpt
zHc)9gGpwk$Ulwbf8?D`YYtk4J>i=*5%kDajbR3txrShiJDDZ{A#P)x#6I8V@PpNd2
zNKL2I?Aqxh^z62j*}cYhjgY3w1exD4HZ=1iYqE{21mxYSB_A<p_acvve@6{?^}^8F
zAzsyfi*Ec6HA|-D1II;^W080`RTx2)r7?jWM|RmAGvvo{UK2G2_oVyet>n);%j90$
z|IMPDB~8IykxY*+l;RXiuqE3yLUWy<Wfwgf;vqL@jOVL9)OI*c@g+(R)sh)LRW!l#
z=}^_UgLM#f<<dMVfg)rOb-Q-S6uy~P9EoT$TG@P&p|Q*PxZk?k1hs~?IeM|W&69O)
zv)BDPt4dMV^cC<F$x0!LKXVGRf9A2W8;m1L3jk~(Kb%d+rh(4XQdQetFmZWg76Uoi
zj?zIChK-Aw7n9weq|TDwa57U;0u7vxV1kc*4(@ZTLqr6e!+nRTlXLy=xaL)>K}hVQ
zN3=I$%zpSgWXaVX5z9vA<>tcbYFGqpDVH-6^9l2?F7VF%_rDtj*-o)j`C%Ww`2gW=
zta0S=0hbgKDUk>-H3rFQr-YMX)|eO_tEtqxvn=#TlazcAoYiuJh4v0O*^*MkUo`i|
zs3@(n#={GzaMmd3#RKM@Zy7}I;y&+}@m;Sw(PnHkO9(`^I`2B?pS|5WaQdt3t-hl@
zI9KajFlFKmK}up1Is!YY{NFY{8fxKPgr~KN4&CxA_b#{9Mgm-$MiLbS*t+zkbs4Xe
zM4OzKi>>wlh#(Rd;Tp}2;&{|9cI<T17f66g=Hr;09wrvN9fV_l5_AbTZel!!RPCw#
zaEv=lG2Yz#se0=<D8Poc*a14xSPD?9s2ad+KlvGh-!qT7l@Tmxq0=PaeB)T@b?<a*
z#Ue~KQ*38~Tcm3eo$pEu>jd3TUm8&Lt@-IKnAG&d`5>Z}c>#3<dlYTc6xMhRZv!tF
zDl5%FZ#H1P1JiZP5=`lPSwAlkSMzyq@@@w$U!%i-%d%?LgnDBLr-lU>WH!wCpji$A
z=KwTCv6v%rtcZ}^0%&ODMW2ZD$n);QYS94%y&w=ABTi1_Zp>4v19IVIF`o&*_`Nj}
z4o{BUr4EhMXu%9>0UrP0;lnZR3F$#k24_&pW*tT6u9(rW22f_8uqN7yb82b~5=0;V
zZowY>t_CN~bp?2q)_+rcS~l8K(JHc-MhOXsDp(A{og3M`qE&yni>#hQ$?9CX>7QE6
zxxLY177guX=A>2iEQm(Jf^v9Ld8;qGa57B;&3jBXs@!a@H(WnYD=)f@02gaEnn1<f
zrrQODVcxu0$=_a_{F|8+aH^dpsz#qOrtbV+upl&VJhtyV*j^-DzbiA?CA}JZOZGZT
zQcasm-TSeXyFA^h&_7)H@l6cTe*~gmHLR0)?Ts2g?X#NVm)a6{9&AvfEidmY7c~qQ
zhqT>Z#Q4?zc+inPU0_CPy*dqw>Z{<kEKW59xaJ8CZG8pamrjUA1Wh#qR#QNaAo-^=
zqD62(&SHXW3dXne0y|EDz5>9GTt;qv%qzp@EXf-U;vX;aZ%ymk0j7&jXLh2S%JZ6^
z>Z3(G4yBFP;tsv~(%xa_DevF3)32Q4mk3zu1hHD&CnBGWpWZ*f)Vunna&vY~Tx^eb
zb9%m-nCcKtP_O9m<hz%rY4poWfaWIN@x$EqLU!EkUk1{v-ljbNZm@R?=$S1D3(!FJ
zM`uZd)Qx0+^7=0reHLv$hx~G=Te1^WaH4L$)1xsAKA*<v-|Y%uO)ClDwM<-Bv7EUk
z%iKz+muN78V%oBoCqJ)$7SBt6iHN)<TML?AXa<JxaBwYhu`QuMNb1-u(D_-ZZ!ZPh
zNUb)<o_~>U0ck(fl@Pu(u;>Q}4qvpjGCmgt%n<SV1sPN11jJapuhh4?F?(ZB$$*~(
zp{42=ndVMiN~$Tkhm<PJzNItNM1-T3Uabv?nfH&%_baVbuxT1!Z!1-PXfjiC<F-Jg
z>zff*_!Am>0Dd$;sglNO_IJ;pm<fjt6Dv!+_iuKDx1SVzn%=W{qebr%){pM&LEh1v
z#x~8m?g6K($)!K$s<{o+Jd88mO8kmz>y3kZYn|z5!mc@O7bmfex*Ketnkwx}+Rw_6
zdUL$gtJp9DexH{9`Myr3rTcCO8m)QW+;8C{S!;;8viFfbY=t%6EjTRMtaBUlwIQ2)
zs4K_h47=5>)$g8Q%UA|oCLNiyXAv5o!adY1Zy68qge8)}8s<S~R$eIjgDsjf`aE(F
zS~PP%+E@jRZzW8&=6Wl=YEGS^KTNo$yN<FR4AC+K45Qb7ZobdmvRGXfoSiXR9RB%2
z^m2Ku{_(EyL00=lmSJpamx1O-uDw9PVy_srRNtsfbm{d4nbvmbjZ}x|$T?}q&tTot
z^~AO(qnQy8atT@Bpt>WdZHXiE=na$3Sa&%%tDC_~JL)(*PGY=KwPfa5bNd!lpfjVK
z7h`5E5mw|lz0-#r(&RhOeU|s?a|SRp59jIQDLJqZ@CRQpjV0{IGfd9j>A`mYeHX9W
z$PZRL-u>JC0DyiEaCOGg4=Df+wL1APKf`9%`qM*`UF*knWh>Jhwr0;9+(XjplUr?>
zfQn3qa*Nl6P%v;|`+W)L^22_vI<O-{^|E^Zr(O?CNq2kD_OHNfnH;|3Gkc$HLP~?a
z9F~HxXtbW_H2J;dDQ5K`_H@@JBep7m@8e8<Dgph?UzUdocZ}=IGH1STYxQWf=sk8@
zQZIgST27Ms3#^ihSe3Y!`dQy9tj*5GvrOA}`>IiYwU#aX_C3pQtD5KT@4M;WC%dXv
zwbgQwt2&{Ks|&u{8eac!pNiYEry!*-UHQc++Ay9~!Ty_{rVCnyHYOaWzVRk!D}K2<
zz39o_QBbkg-1zGRmEA$b^;Tg5WO^AF^O=qm@hEQiqN6v^s`?5T!z^-~e+?JX{cCR0
z=vbXm^o<n<t=W_8jjQsbnORV6QCP2fS;_m-^f~A6(_hGm+@qZowY_<zd52IUztD$V
zyEaCr@BJ4)_0ac&n4?>RRQdX}GTgPTBNS;Rm2|!uOX#eVIN*|YMm+iuH3Vpsjc$I!
zrJrS;&gf=sKUtGj6h&U+8-$;As8HBaPL1sw3$(b6*=(Fm=dpAAy=~v7m_6y&HnZRc
z*mgZo-fgzm4Uj7^!Rx6*z9MD%b~<)0SaVs{UtiUt2_?u-FKD(k6uh#C7W>l2`~?Kp
z$kVKAzP?jXeZ?5DKBeDf5Ztg^P#fYDztQuS=gsKezd3)Iw_a--r0ZNvV$ikysryV-
zZqf23k8!)t_84!owFcB6+pqW6hh{@$HBL1YCI^Ic?1waJ;@yhjoQ}gY#)df6IEs{3
zJuzvN^yV{^IXQ7>G-Q42(>pSg8Dw(K*<4ZhwX@p5(;s5#2u5_gk4KM_ruA5WrQ-sn
z_UQf*7m9JHR+?1z7eBO{LH8&j-q;IlB+rkzPt1c=o1-FCbBwsc`c$;Cly0Kzy>&=@
zQ{e~o3Y&ks{diw|hN9y}7=*9&+DEf%NT(Ot@=|J^B%7_FW^lkCBqFjLfPwd~42ri-
z<*d7zzFE&}wY2Kq+USN@LIe<bdZnz^8->kF{OU0FGye1b+N&?TqEQ-=($pW}3Gb`M
z+cyQ7R4tBl&W<GE9`kCKR}h+w#DrG7+B;4yyN(r|S%&f&=LlbPXwJ+Sdloa^Ex*1R
zo%ubF@j9*ScUIDBvG(c1!B?VP>0z?$4tzKXr)X6N@7*=&A7$$T!n91yhaO^z#CN`H
zP|%H~JpNi+d<}-UcDmY2DYK4YDFMbteGQ68pI28$xDC6W+uQ7sbfxuzKU`5k3F>F_
zTzu;%SQ&-&^tPz0FtT^pj3;08KU4VfiOCEjwuvM;4!lyrz!tKd5#QsEv$IQ}|HN>A
zUT(F1+u?`1TcK~Wof9a5_KnG2z?9`tGAsBzdf}Jc&}#RZo-N!!Hk8J8hLpBBn9-WS
zf$gli9$Q^n@MZRwHFXyHi($@jO>f4<G{jri+w~Qbb6#D$5FJ}5wn=5>NLZ9XGxd<g
z-lnQ&fMn8U&6pE26o-E!Yc1k-LQb>Q<%zRnH)Fd^&`%!@{bn7dR)&Ws!ov%{$ZLye
zu)mmxh?FZ0Xp4UhM6aOrRBhdK#_G`fQ4aaq4QtTCiNKYlO;MJ30e^x=P<GzQUp4h>
zYG8)<mojWO@3qEnf5q9Q#)qy^pTAoO7AMP6WXt6)rB9lbxOy}mzO3w|ZLT22K7;ea
zweR)@F>qw1hiAw7WnuX1b>>L1=5>R`*_3_>s_1c+MXvk68t(_aoA&CLCfp-ukWt>$
zweOk%xlT;sPU;otX$@+@jpD9%orPn;kd95HWDyM$D=2mN$9e$=7eZ);aq#DwP*gwJ
z1D&(#a|J2;FMP|SGI>px{zXklrr{oQ=6+H5#cLMDzc>@I=H;L5GFrw-t4r&C`}t;`
z1kU_PUrI2HpuG!pyxA;$HvQn~3Wed4{H$2RmX<U81)Uvq{>ur%pAn{UOlSl$^Hb(k
zFfxZ~AVfHXwFIB!(mZ7>PA5Mme30cJbpO&+zF6jUC3Zh@f)CD^-o>DBZ?BE+MTaS<
zRcVl12h!R~G~iYFR9MTeQu}SyQ~4?A7g~gp6vpj1u4i&Vq}JD=@&I=_OXd|jum{~%
zJhFloLx(Rv5kiHrd(hb>+e=v{Xv5I!N%v*C4^V)YX!=168y-mFYEe+6XK(CRb>h`=
z_WArvH;=aQK}Fwpr^QaZz+QfNFCpos8|%_a=fb>!CNcvozpjtp{=feOEz)P@Ip<Yp
z<*p}{O)7M;2q|{0jlKsyl>a#B(jpDAzA(5b#otChPPs78v2d3y51D6C@UQ*y*h#w+
zE@);gnnOH;yLK&O$`e$%P79?ejD2O0{M<y6(k8ud3g8=5^LGPA!I)2*qC*6n{%8??
z`&~}@!&eJQjlUxhzSP^dI>oo+!clTv;&ztCIlrlDinQ)?Y{<9TLxUO9uH&wRhs&=I
z8xSI-J7M4A4=W;iShzlNej8((#TI!Z-H@S?1+`Ha{bwr$pI9l?22&DX0nA1&{P#H}
zsOp~z4lR#2;=(-S)rQ2oq^Ki?)E@ICKY2Sk4o~GdGi{;)Ew7Z6bPrEP+Pq3mSaW!p
zaVkc2R_A7b*-vU#v%Dz!1VC>h+x|kWRfL~#FHhmO@9rkmj#B#Wp&>P2I;YfxoZFWC
z`3=Ouu!uwkmLG=sQZF;dioxtG^uyg{&zsLvEAwRfm~hWX!%8)lp}ycqJ)jnScPd-|
zTOe6_`96uZ%Ag=Um12@Dal7WX!l-YyJ<!iWOd<rz%(XI69x;&RJUuk*+uyc@H~P<p
zEOrcYaSGtRm-8-`y98g^XtehoYSGRqUBTGApN*@%!?ff?|73Fb3VLt7Zzh>|)3hPK
zFzApc<Nlkx#?xz~a4tV#{rDpP1j*Ngu|8;=Ll9&dxaO$1ucS!ZrYAwLikZi~Eh2c`
z`q$%kqHWhOmSv(zn=3iD8z}b8voeKS;MV}=1Jw+o2PfPXbe<mG&vDb>9Y-y@ya7jq
ziA$C_l}lQds65tw&#iQaw7*U7L&Ys!raVKy3786AA;Y2wG{<beLFK5afsdjFKYz_s
z)HEv=E-TDnoYFjv`T!3I?F8GKQ|i(H3uyIib082fLPy@0Dw7Cq%s0hrU;YGkbN84b
zz4`q$RIS)(YkNUmWEFigT!?D9zAzD6$vN+GZE=Mhz5|;Le6$*(wyu(Dl+JTQqHmCY
zCcBD2ndGsxvCKtc?vGV={j>hVy1SOG%dT(!?3IC`2_c`%#^Y7z(;(%<*Fq&z{@@)#
z;M{2kM;__LF@(eRXLg3UjXCR%*v-<(y^V7Vm)iVVqNO&r_@&C#_5$C1!r#i=;f4Yn
zcqs;2K&OnY?gNc#Bd>&`^WGj6yZsM^_eKA^7`nd#xIq?W1{C^69!tU(5dk;Teat^d
zbF-m()7^~gxV62TE0`=hXqB66=1C57m}ZT3Iaw<Dx{m53^_6udZhmAxIDXPB8#APv
zx@Bsv#`E^+xe7WdU1t+(u5<Ina!ly-VG|F!_BL2M{Rpm|56~Pjp-b|(ON!GBdTkke
z;d$%(5o50$e$`OWjr04@>;0OL?%`Xl<5g`|HkL2vk4N_Vd&c3u$BXo)ZWEKZd67Rv
bk+1KXAHyFOMtB9C``{|;FB~s|5bys1uvX_i

literal 0
HcmV?d00001

diff --git a/docs/0.10.3/html/overview.html b/docs/0.10.3/html/overview.html
new file mode 100644
index 000000000..908079612
--- /dev/null
+++ b/docs/0.10.3/html/overview.html
@@ -0,0 +1,848 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Intro to Data Readers" href="data_reader.html" /><link rel="prev" title="Examples" href="examples.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Data Profiler - What’s in your data? - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/overview.nblink">View this notebook on GitHub</a></p>
+<section id="Data-Profiler---What’s-in-your-data?">
+<h1>Data Profiler - What’s in your data?<a class="headerlink" href="#Data-Profiler---What’s-in-your-data?" title="Permalink to this headline">¶</a></h1>
+<p>This introductory jupyter notebook demonstrates the basic usages of the Data Profiler. The library is designed to easily detect sensitive data and gather statistics on your datasets with just several lines of code. The Data Profiler can handle several different data types including: CSV (or any delimited file), JSON, Parquet, AVRO, and text. Additionally, there are a plethora of options to customize your profile. This library also has the ability to update profiles from multiple batches of large
+datasets, or merge multiple profiles. In particular, this example covers the followings:</p>
+<ul class="simple">
+<li><p>Basic usage of the Data Profiler</p></li>
+<li><p>The data reader class</p></li>
+<li><p>Profiler options</p></li>
+<li><p>Updating profiles and merging profiles</p></li>
+</ul>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+import pandas as pd
+import matplotlib.pyplot as plt
+sys.path.insert(0, '..')
+import dataprofiler as dp
+
+data_path = "../dataprofiler/tests/data"
+</pre></div>
+</div>
+</div>
+<section id="Basic-Usage-of-the-Data-Profiler">
+<h2>Basic Usage of the Data Profiler<a class="headerlink" href="#Basic-Usage-of-the-Data-Profiler" title="Permalink to this headline">¶</a></h2>
+<p>This section shows the basic example of the Data Profiler. A CSV dataset is read using the data reader, then the Data object is given to the Data Profiler to detect sensitive data and obtain the statistics.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># use data reader to read input data
+data = dp.Data(os.path.join(data_path, "csv/aws_honeypot_marx_geo.csv"))
+print(data.data.head())
+
+# run data profiler and get the report
+profile = dp.Profiler(data)
+report  = profile.report(report_options={"output_format":"compact"})
+
+# print the report
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>The report includes <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> and <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> for the given dataset. The former contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio, while the latter contains specific properties and statistics for each column such as detected data label, min, max, mean, variance, etc. In this example, the <code class="docutils literal notranslate"><span class="pre">compact</span></code> format of the report is used to shorten the full list of the results. To get more results related to detailed predictions at the entity
+level from the Data Labeler component or histogram results, the format <code class="docutils literal notranslate"><span class="pre">pretty</span></code> should be used.</p>
+</section>
+<section id="Data-reader-class">
+<h2>Data reader class<a class="headerlink" href="#Data-reader-class" title="Permalink to this headline">¶</a></h2>
+<p>DataProfiler can detect multiple file types including CSV (or any delimited file), JSON, Parquet, AVRO, and text. The example below shows that it successfully detects data types from multiple categories regardless of the file extensions.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># use data reader to read input data with different file types
+csv_files = [
+    "csv/aws_honeypot_marx_geo.csv",
+    "csv/all-strings-skip-header-author.csv", # csv files with the author/description on the first line
+    "csv/sparse-first-and-last-column-empty-first-row.txt", # csv file with the .txt extension
+]
+json_files = [
+    "json/complex_nested.json",
+    "json/honeypot_intentially_mislabeled_file.csv", # json file with the .csv extension
+]
+parquet_files = [
+    "parquet/nation.dict.parquet",
+    "parquet/nation.plain.intentionally_mislabled_file.csv", # parquet file with the .csv extension
+]
+avro_files = [
+    "avro/userdata1.avro",
+    "avro/userdata1_intentionally_mislabled_file.json", # avro file with the .json extension
+]
+text_files = [
+    "txt/discussion_reddit.txt",
+]
+
+all_files = {
+    "csv": csv_files,
+    "json": json_files,
+    "parquet": parquet_files,
+    "avro": avro_files,
+    "text": text_files
+}
+
+for file_type in all_files:
+    print(file_type)
+    for file in all_files[file_type]:
+        data = dp.Data(os.path.join(data_path, file))
+        print("{:&lt;85} {:&lt;15}".format(file, data.data_type))
+    print("\n")
+</pre></div>
+</div>
+</div>
+<p>The <code class="docutils literal notranslate"><span class="pre">Data</span></code> class detects the file type and uses one of the following classes: <code class="docutils literal notranslate"><span class="pre">CSVData</span></code>, <code class="docutils literal notranslate"><span class="pre">JSONData</span></code>, <code class="docutils literal notranslate"><span class="pre">ParquetData</span></code>, <code class="docutils literal notranslate"><span class="pre">AVROData</span></code>, <code class="docutils literal notranslate"><span class="pre">TextData</span></code>. Users can call these specific classes directly if desired. For example, below we provide a collection of data with different types, each of them is processed by the corresponding data class.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># use individual data reader classes
+from dataprofiler.data_readers.csv_data import CSVData
+from dataprofiler.data_readers.json_data import JSONData
+from dataprofiler.data_readers.parquet_data import ParquetData
+from dataprofiler.data_readers.avro_data import AVROData
+from dataprofiler.data_readers.text_data import TextData
+
+csv_files = "csv/aws_honeypot_marx_geo.csv"
+json_files = "json/complex_nested.json"
+parquet_files = "parquet/nation.dict.parquet"
+avro_files = "avro/userdata1.avro"
+text_files = "txt/discussion_reddit.txt"
+
+all_files = {
+    "csv": [csv_files, CSVData],
+    "json": [json_files, JSONData],
+    "parquet": [parquet_files, ParquetData],
+    "avro": [avro_files, AVROData],
+    "text": [text_files, TextData],
+}
+
+for file_type in all_files:
+    file, data_reader = all_files[file_type]
+    data = data_reader(os.path.join(data_path, file))
+    print("File name {}\n".format(file))
+    if file_type == "text":
+        print(data.data[0][:1000]) # print the first 1000 characters
+    else:
+        print(data.data)
+    print('===============================================================================')
+</pre></div>
+</div>
+</div>
+<p>In addition to reading the input data from multiple file types, the Data Profiler allows the input data as a dataframe.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># run data profiler and get the report
+my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=["col_int", "col_float"])
+profile = dp.Profiler(my_dataframe)
+report  = profile.report(report_options={"output_format":"compact"})
+
+# Print the report
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Structured-Profiler-vs. Unstructured-Profiler">
+<h2>Structured Profiler vs. Unstructured Profiler<a class="headerlink" href="#Structured-Profiler-vs. Unstructured-Profiler" title="Permalink to this headline">¶</a></h2>
+<p>The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile and the unstructured profile.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Using the structured profiler
+data = dp.Data(os.path.join(data_path, "csv/aws_honeypot_marx_geo.csv"))
+profile = dp.Profiler(data, profiler_type='structured')
+
+report = profile.report(report_options={"output_format": "pretty"})
+print(json.dumps(report, indent=4))
+
+# Using the unstructured profiler
+my_dataframe = pd.DataFrame([["Sample1"],["Sample2"],["Sample3"]], columns=["Text_Samples"])
+profile = dp.Profiler(my_dataframe, profiler_type='unstructured')
+
+report  = profile.report(report_options={"output_format":"pretty"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-options">
+<h2>Profiler options<a class="headerlink" href="#Profiler-options" title="Permalink to this headline">¶</a></h2>
+<p>The Data Profiler can enable/disable statistics and modify features through profiler options. For example, if the users only want the statistics information, they may turn off the Data Labeler functionality. Below, let’s remove the histogram and data labeler component while running Data Profiler.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>profile_options = dp.ProfilerOptions()
+profile_options.set({"histogram_and_quantiles.is_enabled": False,
+                     "median_abs_deviation.is_enabled": False,
+                     "median.is_enabled": False,
+                     "mode.is_enabled": False,
+                     "data_labeler.is_enabled": False,})
+
+profile = dp.Profiler(my_dataframe, options=profile_options)
+report  = profile.report(report_options={"output_format":"pretty"})
+
+# Print the report
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>Besides toggling on and off features, other options like the data labeler sample size or histogram bin method can be directly set and validated as shown here:</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>profile_options = dp.ProfilerOptions()
+profile_options.structured_options.data_labeler.sample_size = 1
+profile_options.structured_options.int.histogram_and_quantiles.bin_count_or_method = "rice"
+# An error will raise if the options are set incorrectly.
+profile_options.validate()
+
+profile = dp.Profiler(my_dataframe, options=profile_options)
+report  = profile.report(report_options={"output_format":"pretty"})
+
+# Print the report
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Update-profiles">
+<h2>Update profiles<a class="headerlink" href="#Update-profiles" title="Permalink to this headline">¶</a></h2>
+<p>One of the interesting features of the Data Profiler is the ability to update profiles from batches of data, which allows for data streaming usage. In this section, the original dataset is separated into two batches with equal size. Each batch is then updated with Data Profiler sequentially.</p>
+<p>After the update, we expect the resulted profiles give the same statistics as the profiles updated from the full dataset. We will verify that through some properties in <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> of the profiles including <code class="docutils literal notranslate"><span class="pre">column_count</span></code>, <code class="docutils literal notranslate"><span class="pre">row_count</span></code>, <code class="docutils literal notranslate"><span class="pre">row_is_null_ratio</span></code>, <code class="docutils literal notranslate"><span class="pre">duplicate_row_count</span></code>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># read the input data and devide it into two equal halves
+data = dp.Data(os.path.join(data_path, "csv/aws_honeypot_marx_geo.csv"))
+df = data.data
+df1 = df.iloc[:int(len(df)/2)]
+df2 = df.iloc[int(len(df)/2):]
+
+# Update the profile with the first half
+profile = dp.Profiler(df1)
+
+# Update the profile with the second half
+profile.update_profile(df2)
+
+# Update profile with the full dataset
+profile_full = dp.Profiler(df)
+
+report  = profile.report(report_options={"output_format":"compact"})
+report_full  = profile_full.report(report_options={"output_format":"compact"})
+
+# print the report
+print(json.dumps(report, indent=4))
+print(json.dumps(report_full, indent=4))
+</pre></div>
+</div>
+</div>
+<p>You can see that the profiles are exactly the same whether they are broken into several updates or not.</p>
+</section>
+<section id="Merge-profiles">
+<h2>Merge profiles<a class="headerlink" href="#Merge-profiles" title="Permalink to this headline">¶</a></h2>
+<p>In addition to the profile update, Data Profiler provides the merging functionality which allows users to combine the profiles updated from multiple locations. This enables Data Profiler to be used in a distributed computing environment. Below, we assume that the two aforementioned halves of the original dataset come from two different machines. Each of them is then updated with the Data Profiler on the same machine, then the resulted profiles are merged.</p>
+<p>As with the profile update, we expect the merged profiles give the same statistics as the profiles updated from the full dataset.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Update the profile with the first half
+profile1 = dp.Profiler(df1)
+
+# Update the profile with the second half
+profile2 = dp.Profiler(df2)
+
+# merge profiles
+profile_merge = profile1 + profile2
+
+# check results of the merged profile
+report_merge  = profile.report(report_options={"output_format":"compact"})
+
+# print the report
+print(json.dumps(report_merge, indent=4))
+print(json.dumps(report_full, indent=4))
+</pre></div>
+</div>
+</div>
+<p>You can see that the profiles are exactly the same!</p>
+</section>
+<section id="Conclusion">
+<h2>Conclusion<a class="headerlink" href="#Conclusion" title="Permalink to this headline">¶</a></h2>
+<p>We have walked through some basic examples of Data Profiler usage, with different input data types and profiling options. We also work with update and merging functionality of the Data Profiler, which make it applicable for data streaming and distributed environment. Interested users can try with different datasets and functionalities as desired.</p>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="data_reader.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Intro to Data Readers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="examples.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Examples</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/overview.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Data Profiler - What’s in your data?</a><ul>
+<li><a class="reference internal" href="#Basic-Usage-of-the-Data-Profiler">Basic Usage of the Data Profiler</a></li>
+<li><a class="reference internal" href="#Data-reader-class">Data reader class</a></li>
+<li><a class="reference internal" href="#Structured-Profiler-vs. Unstructured-Profiler">Structured Profiler vs. Unstructured Profiler</a></li>
+<li><a class="reference internal" href="#Profiler-options">Profiler options</a></li>
+<li><a class="reference internal" href="#Update-profiles">Update profiles</a></li>
+<li><a class="reference internal" href="#Merge-profiles">Merge profiles</a></li>
+<li><a class="reference internal" href="#Conclusion">Conclusion</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/overview.ipynb b/docs/0.10.3/html/overview.ipynb
new file mode 100644
index 000000000..d5e77abe4
--- /dev/null
+++ b/docs/0.10.3/html/overview.ipynb
@@ -0,0 +1,470 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fc2826d9",
+   "metadata": {},
+   "source": [
+    "# Data Profiler - What's in your data?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b997522b",
+   "metadata": {},
+   "source": [
+    "This introductory jupyter notebook demonstrates the basic usages of the Data Profiler. The library is designed to easily detect sensitive data and gather statistics on your datasets with just several lines of code. The Data Profiler can handle several different data types including: CSV (or any delimited file), JSON, Parquet, AVRO, and text. Additionally, there are a plethora of options to customize your profile. This library also has the ability to update profiles from multiple batches of large datasets, or merge multiple profiles. In particular, this example covers the followings:\n",
+    "\n",
+    "- Basic usage of the Data Profiler\n",
+    "- The data reader class\n",
+    "- Profiler options\n",
+    "- Updating profiles and merging profiles\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef404c84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "sys.path.insert(0, '..')\n",
+    "import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f51971e3",
+   "metadata": {},
+   "source": [
+    "## Basic Usage of the Data Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "639e66d3",
+   "metadata": {},
+   "source": [
+    "This section shows the basic example of the Data Profiler. A CSV dataset is read using the data reader, then the Data object is given to the Data Profiler to detect sensitive data and obtain the statistics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5379c45c",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "print(data.data.head())\n",
+    "\n",
+    "# run data profiler and get the report\n",
+    "profile = dp.Profiler(data)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57fe2827",
+   "metadata": {},
+   "source": [
+    "The report includes `global_stats` and `data_stats` for the given dataset. The former contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio, while the latter contains specific properties and statistics for each column such as detected data label, min, max, mean, variance, etc. In this example, the `compact` format of the report is used to shorten the full list of the results. To get more results related to detailed predictions at the entity level from the Data Labeler component or histogram results, the format `pretty` should be used."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74027cfd",
+   "metadata": {},
+   "source": [
+    "## Data reader class"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41364888",
+   "metadata": {},
+   "source": [
+    "DataProfiler can detect multiple file types including CSV (or any delimited file), JSON, Parquet, AVRO, and text. The example below shows that it successfully detects data types from multiple categories regardless of the file extensions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "823829f4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use data reader to read input data with different file types\n",
+    "csv_files = [\n",
+    "    \"csv/aws_honeypot_marx_geo.csv\",\n",
+    "    \"csv/all-strings-skip-header-author.csv\", # csv files with the author/description on the first line\n",
+    "    \"csv/sparse-first-and-last-column-empty-first-row.txt\", # csv file with the .txt extension\n",
+    "]\n",
+    "json_files = [\n",
+    "    \"json/complex_nested.json\",\n",
+    "    \"json/honeypot_intentially_mislabeled_file.csv\", # json file with the .csv extension\n",
+    "]\n",
+    "parquet_files = [\n",
+    "    \"parquet/nation.dict.parquet\",\n",
+    "    \"parquet/nation.plain.intentionally_mislabled_file.csv\", # parquet file with the .csv extension\n",
+    "]\n",
+    "avro_files = [\n",
+    "    \"avro/userdata1.avro\",\n",
+    "    \"avro/userdata1_intentionally_mislabled_file.json\", # avro file with the .json extension\n",
+    "]\n",
+    "text_files = [\n",
+    "    \"txt/discussion_reddit.txt\",\n",
+    "]\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": csv_files,\n",
+    "    \"json\": json_files,\n",
+    "    \"parquet\": parquet_files,\n",
+    "    \"avro\": avro_files,\n",
+    "    \"text\": text_files\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    print(file_type)\n",
+    "    for file in all_files[file_type]:\n",
+    "        data = dp.Data(os.path.join(data_path, file))\n",
+    "        print(\"{:<85} {:<15}\".format(file, data.data_type))\n",
+    "    print(\"\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f9d7e02",
+   "metadata": {},
+   "source": [
+    "The `Data` class detects the file type and uses one of the following classes: `CSVData`, `JSONData`, `ParquetData`, `AVROData`, `TextData`. Users can call these specific classes directly if desired. For example, below we provide a collection of data with different types, each of them is processed by the corresponding data class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "831e68a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use individual data reader classes\n",
+    "from dataprofiler.data_readers.csv_data import CSVData\n",
+    "from dataprofiler.data_readers.json_data import JSONData\n",
+    "from dataprofiler.data_readers.parquet_data import ParquetData\n",
+    "from dataprofiler.data_readers.avro_data import AVROData\n",
+    "from dataprofiler.data_readers.text_data import TextData\n",
+    "\n",
+    "csv_files = \"csv/aws_honeypot_marx_geo.csv\"\n",
+    "json_files = \"json/complex_nested.json\"\n",
+    "parquet_files = \"parquet/nation.dict.parquet\"\n",
+    "avro_files = \"avro/userdata1.avro\"\n",
+    "text_files = \"txt/discussion_reddit.txt\"\n",
+    "\n",
+    "all_files = {\n",
+    "    \"csv\": [csv_files, CSVData],\n",
+    "    \"json\": [json_files, JSONData],\n",
+    "    \"parquet\": [parquet_files, ParquetData],\n",
+    "    \"avro\": [avro_files, AVROData],\n",
+    "    \"text\": [text_files, TextData],\n",
+    "}\n",
+    "\n",
+    "for file_type in all_files:\n",
+    "    file, data_reader = all_files[file_type]\n",
+    "    data = data_reader(os.path.join(data_path, file))\n",
+    "    print(\"File name {}\\n\".format(file))\n",
+    "    if file_type == \"text\":\n",
+    "        print(data.data[0][:1000]) # print the first 1000 characters\n",
+    "    else:\n",
+    "        print(data.data)\n",
+    "    print('===============================================================================')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "572df0a8",
+   "metadata": {},
+   "source": [
+    "In addition to reading the input data from multiple file types, the Data Profiler allows the input data as a dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df87ab83",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84a06312",
+   "metadata": {},
+   "source": [
+    "## Structured Profiler vs. Unstructured Profiler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c0ea925",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile and the unstructured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f4565d8",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Using the structured profiler\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))\n",
+    "\n",
+    "# Using the unstructured profiler\n",
+    "my_dataframe = pd.DataFrame([[\"Sample1\"],[\"Sample2\"],[\"Sample3\"]], columns=[\"Text_Samples\"])\n",
+    "profile = dp.Profiler(my_dataframe, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b16648ba",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b0cc8ad",
+   "metadata": {},
+   "source": [
+    "The Data Profiler can enable/disable statistics and modify features through profiler options. For example, if the users only want the statistics information, they may turn off the Data Labeler functionality. Below, let's remove the histogram and data labeler component while running Data Profiler."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbac3a2c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({\"histogram_and_quantiles.is_enabled\": False,\n",
+    "                     \"median_abs_deviation.is_enabled\": False,\n",
+    "                     \"median.is_enabled\": False,\n",
+    "                     \"mode.is_enabled\": False,\n",
+    "                     \"data_labeler.is_enabled\": False,})\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "590ca50b",
+   "metadata": {},
+   "source": [
+    "Besides toggling on and off features, other options like the data labeler sample size or histogram bin method can be directly set and validated as shown here:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ed21bc1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.structured_options.data_labeler.sample_size = 1\n",
+    "profile_options.structured_options.int.histogram_and_quantiles.bin_count_or_method = \"rice\"\n",
+    "# An error will raise if the options are set incorrectly.\n",
+    "profile_options.validate()\n",
+    "\n",
+    "profile = dp.Profiler(my_dataframe, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9f690616",
+   "metadata": {},
+   "source": [
+    "## Update profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "965f8c85",
+   "metadata": {},
+   "source": [
+    "One of the interesting features of the Data Profiler is the ability to update profiles from batches of data, which allows for data streaming usage. In this section, the original dataset is separated into two batches with equal size. Each batch is then updated with Data Profiler sequentially.  \n",
+    "\n",
+    "After the update, we expect the resulted profiles give the same statistics as the profiles updated from the full dataset. We will verify that through some properties in `global_stats` of the profiles including `column_count`, `row_count`, `row_is_null_ratio`, `duplicate_row_count`. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34ac4346",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# read the input data and devide it into two equal halves\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "df = data.data\n",
+    "df1 = df.iloc[:int(len(df)/2)]\n",
+    "df2 = df.iloc[int(len(df)/2):]\n",
+    "\n",
+    "# Update the profile with the first half\n",
+    "profile = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile.update_profile(df2)\n",
+    "\n",
+    "# Update profile with the full dataset\n",
+    "profile_full = dp.Profiler(df)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "report_full  = profile_full.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41ee2bf",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same whether they are broken into several updates or not."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c547f051",
+   "metadata": {},
+   "source": [
+    "## Merge profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5292962",
+   "metadata": {},
+   "source": [
+    "In addition to the profile update, Data Profiler provides the merging functionality which allows users to combine the profiles updated from multiple locations. This enables Data Profiler to be used in a distributed computing environment. Below, we assume that the two aforementioned halves of the original dataset come from two different machines. Each of them is then updated with the Data Profiler on the same machine, then the resulted profiles are merged.\n",
+    "\n",
+    "As with the profile update, we expect the merged profiles give the same statistics as the profiles updated from the full dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a565b8d1",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Update the profile with the first half\n",
+    "profile1 = dp.Profiler(df1)\n",
+    "\n",
+    "# Update the profile with the second half\n",
+    "profile2 = dp.Profiler(df2)\n",
+    "\n",
+    "# merge profiles\n",
+    "profile_merge = profile1 + profile2\n",
+    "\n",
+    "# check results of the merged profile\n",
+    "report_merge  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# print the report\n",
+    "print(json.dumps(report_merge, indent=4))\n",
+    "print(json.dumps(report_full, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b77fac3f",
+   "metadata": {},
+   "source": [
+    "You can see that the profiles are exactly the same!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c644ee42",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "We have walked through some basic examples of Data Profiler usage, with different input data types and profiling options. We also work with update and merging functionality of the Data Profiler, which make it applicable for data streaming and distributed environment. Interested users can try with different datasets and functionalities as desired."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/popmon_dp_loader_example.html b/docs/0.10.3/html/popmon_dp_loader_example.html
new file mode 100644
index 000000000..348ac53c3
--- /dev/null
+++ b/docs/0.10.3/html/popmon_dp_loader_example.html
@@ -0,0 +1,803 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="API" href="API.html" /><link rel="prev" title="Merge List of Profiles" href="merge_profile_list.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Dataloader with Popmon Reports - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/popmon_dp_loader_example.nblink">View this notebook on GitHub</a></p>
+<section id="Dataloader-with-Popmon-Reports">
+<h1>Dataloader with Popmon Reports<a class="headerlink" href="#Dataloader-with-Popmon-Reports" title="Permalink to this headline">¶</a></h1>
+<p>This demo is to cover the usage of popmon with the dataloader from the dataprofiler</p>
+<p>This demo covers the followings:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>- How to install popmon
+- Comparison of the dynamic dataloader from dataprofiler to the
+    standard dataloader used in pandas
+- Popmon's usage example using both dataloaders
+- Dataprofiler's examples using both dataloaders
+- Usage of the pm_stability_report function (popmon reports)
+</pre></div>
+</div>
+<section id="How-to-Install-Popmon">
+<h2>How to Install Popmon<a class="headerlink" href="#How-to-Install-Popmon" title="Permalink to this headline">¶</a></h2>
+<p>To install popmon you can use the command below:</p>
+<p><code class="docutils literal notranslate"><span class="pre">pip3</span> <span class="pre">install</span> <span class="pre">popmon</span></code></p>
+<p>From here, we can import the libararies needed for this demo.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+except ImportError:
+    import dataprofiler as dp
+import pandas as pd
+import popmon  # noqa
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Comparison-of-Dataloaders">
+<h2>Comparison of Dataloaders<a class="headerlink" href="#Comparison-of-Dataloaders" title="Permalink to this headline">¶</a></h2>
+<p>First, we have the original pandas dataloading which works for specific file types. This is good for if the data format is known ahead of time but is less useful for more dynamic cases.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>def popmon_dataloader(path, time_index):
+    # Load pm dataframe (Can only read csvs unless reader option is changed)
+    if not time_index is None:
+        pm_data = pd.read_csv(path, parse_dates=[time_index])
+    else:
+        time_index = True
+        pm_data = pd.read_csv(path)
+    return pm_data
+</pre></div>
+</div>
+</div>
+<p>Next, we have the dataprofiler’s dataloader. This allows for the dynamic loading of different data formats which is super useful when the data format is not know ahead of time. This is intended to be an improvement on the dataloader standardly used in pandas.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>def dp_dataloader(path):
+    # Datalaoder from dataprofiler used
+    dp_data = dp.Data(path)
+
+    # Profiler used to ensure proper label for datetime even
+    # when null values exist
+    profiler_options = dp.ProfilerOptions()
+    profiler_options.set({'*.is_enabled': False,  # Runs first disabling all options in profiler
+                          '*.datetime.is_enabled': True})
+    profile = dp.Profiler(dp_data, options=profiler_options)
+
+    # convert any time/datetime types from strings to actual datatime type
+    for ind, col in enumerate(dp_data.data.columns):
+        if profile.profile[ind].profile.get('data_type') == 'datetime':
+            dp_data.data[col] = pd.to_datetime(dp_data.data[col])
+
+    return dp_data.data
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Popmon’s-usage-example-using-both-dataloaders">
+<h2>Popmon’s usage example using both dataloaders<a class="headerlink" href="#Popmon’s-usage-example-using-both-dataloaders" title="Permalink to this headline">¶</a></h2>
+<p>Next, we’ll download a dataset from the resources component</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import gzip
+import shutil
+popmon_tutorial_data = popmon.resources.data("flight_delays.csv.gz")
+with gzip.open(popmon_tutorial_data, 'rb') as f_in:
+    with open('./flight_delays.csv', 'wb') as f_out:
+        shutil.copyfileobj(f_in, f_out)
+</pre></div>
+</div>
+</div>
+<p>Finally we read in the data with popmon and print the report to a file</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Default csv from popmon example
+path = "./flight_delays.csv"
+time_index = "DATE"
+report_output_dir = "./popmon_output/flight_delays_full"
+if not os.path.exists(report_output_dir):
+    os.makedirs(report_output_dir)
+
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pm_data = popmon_dataloader(path, time_index)
+
+report_pm_loader = pm_data.pm_stability_report(
+    time_axis=time_index,
+    time_width="1w",
+    time_offset="2015-07-02",
+    extended_report=False,
+    pull_rules={"*_pull": [10, 7, -7, -10]},
+)
+
+# Save popmon reports
+report_pm_loader.to_file(os.path.join(report_output_dir, "popmon_loader_report.html"))
+print("Report printed at:", os.path.join(report_output_dir, "popmon_loader_report.html"))
+</pre></div>
+</div>
+</div>
+<p>We then do the same for the dataprofiler loader</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>dp_dataframe = dp_dataloader(path)
+# Generate pm report using dp dataloader
+report_dp_loader = dp_dataframe.pm_stability_report(
+    time_axis=time_index,
+    time_width="1w",
+    time_offset="2015-07-02",
+    extended_report=False,
+    pull_rules={"*_pull": [10, 7, -7, -10]},
+)
+
+# Save popmon reports
+report_dp_loader.to_file(os.path.join(report_output_dir, "dataprofiler_loader_report.html"))
+print("Report printed at:", os.path.join(report_output_dir, "dataprofiler_loader_report.html"))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Examples-of-data">
+<h2>Examples of data<a class="headerlink" href="#Examples-of-data" title="Permalink to this headline">¶</a></h2>
+<p>Next, We’ll use some data from the test files of the data profiler to compare the dynamic loading of the dataprofiler’s data loader to that of the standard pandas approach.</p>
+</section>
+<section id="Dataprofiler’s-examples-using-both-dataloaders">
+<h2>Dataprofiler’s examples using both dataloaders<a class="headerlink" href="#Dataprofiler’s-examples-using-both-dataloaders" title="Permalink to this headline">¶</a></h2>
+<p>To execute this properly, simply choose one of the 3 examples below and then run the report generation below.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Default csv from popmon example (mini version)
+path = "../dataprofiler/tests/data/csv/flight_delays.csv"
+time_index = "DATE"
+report_output_dir = "./popmon_output/flight_delays_mini"
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Random csv from dataprofiler tests
+path = "../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv"
+time_index = "datetime"
+report_output_dir = "./popmon_output/aws_honeypot_marx_geo"
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Random json file from dataprofiler tests
+path = "../dataprofiler/tests/data/json/math.json"
+
+time_index = "data.9"
+report_output_dir = "./popmon_output/math"
+</pre></div>
+</div>
+</div>
+<p>Run the block below to create an output directory for your popmon reports.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>if not os.path.exists(report_output_dir):
+    os.makedirs(report_output_dir)
+dp_dataframe = dp_dataloader(path)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Report-comparison">
+<h2>Report comparison<a class="headerlink" href="#Report-comparison" title="Permalink to this headline">¶</a></h2>
+<p>We generate reports using different sets of data from the dataprofiler and pandas below using dataprofiler’s dataloader and popmons report generator</p>
+<p>The dataprofiler’s dataloader can seemlessly switch between data formats and generate reports with the exact same code in place.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Generate pm report using dp dataloader
+report_dp_loader = dp_dataframe.pm_stability_report(
+    time_axis=time_index,
+    time_width="1w",
+    time_offset="2015-07-02",
+    extended_report=False,
+    pull_rules={"*_pull": [10, 7, -7, -10]},
+)
+</pre></div>
+</div>
+</div>
+<p>If the dataloaders are valid, you can see the reports and compare them at the output directory specified in the printout below each report generation block (the two code blocks below).</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Save dp reports
+report_dp_loader.to_file(os.path.join(report_output_dir, "dataprofiler_loader_report.html"))
+print("Report printed at:", os.path.join(report_output_dir, "dataprofiler_loader_report.html"))
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="API.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">API</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="merge_profile_list.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Merge List of Profiles</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/popmon_dp_loader_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Dataloader with Popmon Reports</a><ul>
+<li><a class="reference internal" href="#How-to-Install-Popmon">How to Install Popmon</a></li>
+<li><a class="reference internal" href="#Comparison-of-Dataloaders">Comparison of Dataloaders</a></li>
+<li><a class="reference internal" href="#Popmon’s-usage-example-using-both-dataloaders">Popmon’s usage example using both dataloaders</a></li>
+<li><a class="reference internal" href="#Examples-of-data">Examples of data</a></li>
+<li><a class="reference internal" href="#Dataprofiler’s-examples-using-both-dataloaders">Dataprofiler’s examples using both dataloaders</a></li>
+<li><a class="reference internal" href="#Report-comparison">Report comparison</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/popmon_dp_loader_example.ipynb b/docs/0.10.3/html/popmon_dp_loader_example.ipynb
new file mode 100644
index 000000000..3ddb267da
--- /dev/null
+++ b/docs/0.10.3/html/popmon_dp_loader_example.ipynb
@@ -0,0 +1,416 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7f0cceea",
+   "metadata": {},
+   "source": [
+    "# Dataloader with Popmon Reports"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e79d9c5",
+   "metadata": {},
+   "source": [
+    "This demo is to cover the usage of popmon with the dataloader from the dataprofiler\n",
+    "\n",
+    "This demo covers the followings:\n",
+    "\n",
+    "    - How to install popmon\n",
+    "    - Comparison of the dynamic dataloader from dataprofiler to the \n",
+    "        standard dataloader used in pandas\n",
+    "    - Popmon's usage example using both dataloaders\n",
+    "    - Dataprofiler's examples using both dataloaders\n",
+    "    - Usage of the pm_stability_report function (popmon reports)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aec2198a",
+   "metadata": {},
+   "source": [
+    "## How to Install Popmon\n",
+    "To install popmon you can use the command below:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4383ed2a",
+   "metadata": {},
+   "source": [
+    "`pip3 install popmon`\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "91dedc34",
+   "metadata": {},
+   "source": [
+    "From here, we can import the libararies needed for this demo."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2adec556",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "import pandas as pd\n",
+    "import popmon  # noqa"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ed532ec",
+   "metadata": {},
+   "source": [
+    "## Comparison of Dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cccbf4cd",
+   "metadata": {},
+   "source": [
+    "First, we have the original pandas dataloading which works for specific file types. \n",
+    "This is good for if the data format is known ahead of time but is less useful for more dynamic cases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e9ff89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def popmon_dataloader(path, time_index):\n",
+    "    # Load pm dataframe (Can only read csvs unless reader option is changed)\n",
+    "    if not time_index is None:\n",
+    "        pm_data = pd.read_csv(path, parse_dates=[time_index])\n",
+    "    else:\n",
+    "        time_index = True\n",
+    "        pm_data = pd.read_csv(path)\n",
+    "    return pm_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16dfbe10",
+   "metadata": {},
+   "source": [
+    "Next, we have the dataprofiler's dataloader. This allows for the dynamic loading of different data formats which is super useful when the data format is not know ahead of time.\n",
+    "This is intended to be an improvement on the dataloader standardly used in pandas."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07481259",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def dp_dataloader(path):\n",
+    "    # Datalaoder from dataprofiler used\n",
+    "    dp_data = dp.Data(path)\n",
+    "    \n",
+    "    # Profiler used to ensure proper label for datetime even \n",
+    "    # when null values exist\n",
+    "    profiler_options = dp.ProfilerOptions()\n",
+    "    profiler_options.set({'*.is_enabled': False,  # Runs first disabling all options in profiler\n",
+    "                          '*.datetime.is_enabled': True})\n",
+    "    profile = dp.Profiler(dp_data, options=profiler_options)\n",
+    "\n",
+    "    # convert any time/datetime types from strings to actual datatime type\n",
+    "    for ind, col in enumerate(dp_data.data.columns):\n",
+    "        if profile.profile[ind].profile.get('data_type') == 'datetime':\n",
+    "            dp_data.data[col] = pd.to_datetime(dp_data.data[col])\n",
+    "\n",
+    "    return dp_data.data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69a8ea9b",
+   "metadata": {},
+   "source": [
+    "## Popmon's usage example using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff914ca7",
+   "metadata": {},
+   "source": [
+    "Next, we'll download a dataset from the resources component"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bff33da8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gzip\n",
+    "import shutil\n",
+    "popmon_tutorial_data = popmon.resources.data(\"flight_delays.csv.gz\")\n",
+    "with gzip.open(popmon_tutorial_data, 'rb') as f_in:\n",
+    "    with open('./flight_delays.csv', 'wb') as f_out:\n",
+    "        shutil.copyfileobj(f_in, f_out)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19222c4a",
+   "metadata": {},
+   "source": [
+    "Finally we read in the data with popmon and print the report to a file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0090a2f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example\n",
+    "path = \"./flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_full\"\n",
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d0abcd9b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pm_data = popmon_dataloader(path, time_index)\n",
+    "\n",
+    "report_pm_loader = pm_data.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_pm_loader.to_file(os.path.join(report_output_dir, \"popmon_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"popmon_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2303b5cf",
+   "metadata": {},
+   "source": [
+    "We then do the same for the dataprofiler loader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2854383",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dp_dataframe = dp_dataloader(path)\n",
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")\n",
+    "\n",
+    "# Save popmon reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cc4e5f3",
+   "metadata": {},
+   "source": [
+    "## Examples of data\n",
+    "Next, We'll use some data from the test files of the data profiler to compare the dynamic loading of the dataprofiler's data loader to that of the standard pandas approach. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "352eaeea",
+   "metadata": {},
+   "source": [
+    "## Dataprofiler's examples using both dataloaders"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e99af913",
+   "metadata": {},
+   "source": [
+    "To execute this properly, simply choose one of the 3 examples below and then run the report generation below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80eb601d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Default csv from popmon example (mini version)\n",
+    "path = \"../dataprofiler/tests/data/csv/flight_delays.csv\"\n",
+    "time_index = \"DATE\"\n",
+    "report_output_dir = \"./popmon_output/flight_delays_mini\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c127288",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random csv from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/csv/aws_honeypot_marx_geo.csv\"\n",
+    "time_index = \"datetime\"\n",
+    "report_output_dir = \"./popmon_output/aws_honeypot_marx_geo\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cd5c385",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random json file from dataprofiler tests\n",
+    "path = \"../dataprofiler/tests/data/json/math.json\"\n",
+    "\n",
+    "time_index = \"data.9\"\n",
+    "report_output_dir = \"./popmon_output/math\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec860cb7",
+   "metadata": {},
+   "source": [
+    "Run the block below to create an output directory for your popmon reports."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf21835c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.exists(report_output_dir):\n",
+    "    os.makedirs(report_output_dir)\n",
+    "dp_dataframe = dp_dataloader(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "479975a5",
+   "metadata": {},
+   "source": [
+    "## Report comparison"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02a355e7",
+   "metadata": {},
+   "source": [
+    "We generate reports using different sets of data from the dataprofiler and pandas below using dataprofiler's dataloader and popmons report generator\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ce69145",
+   "metadata": {},
+   "source": [
+    "The dataprofiler's dataloader can seemlessly switch between data formats and generate reports with the exact same code in place."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0dcb405",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Generate pm report using dp dataloader\n",
+    "report_dp_loader = dp_dataframe.pm_stability_report(\n",
+    "    time_axis=time_index,\n",
+    "    time_width=\"1w\",\n",
+    "    time_offset=\"2015-07-02\",\n",
+    "    extended_report=False,\n",
+    "    pull_rules={\"*_pull\": [10, 7, -7, -10]},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9eb0035c",
+   "metadata": {},
+   "source": [
+    "If the dataloaders are valid, you can see the reports and compare them at the output directory specified in the printout below each report generation block (the two code blocks below)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efe7d8d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save dp reports\n",
+    "report_dp_loader.to_file(os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))\n",
+    "print(\"Report printed at:\", os.path.join(report_output_dir, \"dataprofiler_loader_report.html\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/profiler.html b/docs/0.10.3/html/profiler.html
new file mode 100644
index 000000000..0ed23a4ab
--- /dev/null
+++ b/docs/0.10.3/html/profiler.html
@@ -0,0 +1,1409 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Labeler (Sensitive Data)" href="data_labeling.html" /><link rel="prev" title="Data Readers" href="data_readers.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Profiler - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1 current current-page"><a class="current reference internal" href="#">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        <section id="profiler">
+<span id="id1"></span><h1>Profiler<a class="headerlink" href="#profiler" title="Permalink to this headline">¶</a></h1>
+<section id="profile-your-data">
+<h2>Profile Your Data<a class="headerlink" href="#profile-your-data" title="Permalink to this headline">¶</a></h2>
+<p>Profiling your data is easy. Just use the data reader, send the data to the
+profiler, and print out the report.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span> <span class="c1"># Auto-Detect &amp; Load: CSV, AVRO, Parquet, JSON, Text</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> <span class="c1"># Calculate Statistics, Entity Recognition, etc</span>
+
+<span class="n">readable_report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">readable_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>If the data is structured, the profile will return global statistics as well as
+column by column statistics. The vast amount of statistics are listed on the
+intro page.</p>
+<section id="load-a-file">
+<h3>Load a File<a class="headerlink" href="#load-a-file" title="Permalink to this headline">¶</a></h3>
+<p>The profiler should automatically identify the file type and load the data into a <cite>Data Class</cite>.</p>
+<p>Along with other attributtes the <cite>Data class</cite> enables structured data to be accessed via a valid Pandas DataFrame.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load a csv file, return a CSVData object</span>
+<span class="n">csv_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.csv'</span><span class="p">)</span>
+
+<span class="c1"># Print the first 10 rows of the csv file</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">csv_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+
+<span class="c1"># Load a parquet file, return a ParquetData object</span>
+<span class="n">parquet_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s1">'your_file.parquet'</span><span class="p">)</span>
+
+<span class="c1"># Sort the data by the name column</span>
+<span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">'name'</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="c1"># Print the sorted first 10 rows of the parquet data</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">parquet_data</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>If the file type is not automatically identified (rare), you can specify them
+specifically, see section Data Readers.</p>
+</section>
+<section id="profile-a-file">
+<h3>Profile a File<a class="headerlink" href="#profile-a-file" title="Permalink to this headline">¶</a></h3>
+<p>Example uses a CSV file for example, but CSV, JSON, Avro or Parquet should also work.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load file (CSV should be automatically identified)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Profile the dataset</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Generate a report and use json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+
+<span class="c1"># Print the report</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="updating-profiles">
+<h3>Updating Profiles<a class="headerlink" href="#updating-profiles" title="Permalink to this headline">¶</a></h3>
+<p>Currently, the data profiler is equipped to update its profile in batches.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Update the profile with new data:</span>
+<span class="n">new_data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"new_data.csv"</span><span class="p">)</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">update_profile</span><span class="p">(</span><span class="n">new_data</span><span class="p">)</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="merging-profiles">
+<h3>Merging Profiles<a class="headerlink" href="#merging-profiles" title="Permalink to this headline">¶</a></h3>
+<p>If you have two files with the same schema (but different data), it is possible to merge the two profiles together via an addition operator.</p>
+<p>This also enables profiles to be determined in a distributed manner.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file with a schema</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_a.csv"</span><span class="p">)</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file with the same schema</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_b.csv"</span><span class="p">)</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">profile3</span> <span class="o">=</span> <span class="n">profile1</span> <span class="o">+</span> <span class="n">profile2</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile3</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="profile-differences">
+<h3>Profile Differences<a class="headerlink" href="#profile-differences" title="Permalink to this headline">¶</a></h3>
+<p>Profile differences take two profiles and find the differences
+between them. Create the difference report like this:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_a.csv"</span><span class="p">)</span>
+<span class="n">profile1</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># Load another CSV file</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"file_b.csv"</span><span class="p">)</span>
+<span class="n">profile2</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="n">diff_report</span> <span class="o">=</span> <span class="n">profile1</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profile2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">diff_report</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The <cite>.diff()</cite> operation is available between two profiles, although there are different
+outputs depending on the type of profile being differenced. For example, for numerical
+column profiles (e.g. integers and floats), two valuable calculations that
+<cite>.diff()</cite> returns are <cite>t-test</cite>, <cite>chi2-test</cite>, and <cite>psi</cite> (Popoulation Stability Index)
+for understanding distributional changes.</p>
+<p>The difference report contains a dictionary that mirrors the profile report.
+Each data type has its own difference:</p>
+<ul class="simple">
+<li><p><strong>Int/Float</strong> - One profile subtracts the value from the other.</p></li>
+<li><p><strong>String</strong> - The strings will be shown in a list:</p>
+<ul>
+<li><p>[profile1 str, profile2 str]</p></li>
+</ul>
+</li>
+<li><p><strong>List</strong> - A list of 3 will be returned showing the unique values of
+each profile and the shared values:</p>
+<ul>
+<li><p>[profile 1 unique values, shared values, profile 2 unique values]</p></li>
+</ul>
+</li>
+<li><p><strong>Dict</strong> - Some dictionaries with varied keys will also return a list
+of three in the format:</p>
+<ul>
+<li><p>[profile 1 unique key-values, shared key differences, profile 2 unique key-values]</p></li>
+</ul>
+</li>
+</ul>
+<p>Otherwise, when no differences occur:</p>
+<ul class="simple">
+<li><p><strong>Any Type No Differences</strong> - A string will report: “unchanged”.</p></li>
+</ul>
+<p>Below is the structured difference report:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+    <span class="s1">'global_stats'</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">'file_type'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'encoding'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'samples_used'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'column_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'row_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'row_has_null_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s1">'row_is_null_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s1">'unique_row_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+        <span class="s1">'duplicate_row_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'correlation_matrix'</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+        <span class="s1">'chi2_matrix'</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+        <span class="s1">'profile_schema'</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span>
+    <span class="p">},</span>
+    <span class="s1">'data_stats'</span><span class="p">:</span> <span class="p">[{</span>
+        <span class="s1">'column_name'</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
+        <span class="s1">'data_type'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'data_label'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+        <span class="s1">'categorical'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'order'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'statistics'</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s1">'min'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'max'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'sum'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'mean'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'median'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'mode'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">float</span><span class="p">]],</span>
+            <span class="s1">'median_absolute_deviation'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'variance'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'stddev'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'t-test'</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'t-statistic'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s1">'conservative'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'df'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                                 <span class="s1">'p-value'</span><span class="p">:</span> <span class="nb">float</span><span class="p">},</span>
+                <span class="s1">'welch'</span><span class="p">:</span> <span class="p">{</span><span class="s1">'df'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                          <span class="s1">'p-value'</span><span class="p">:</span> <span class="nb">float</span><span class="p">}},</span>
+            <span class="s1">'psi'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s2">"chi2-test"</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s2">"chi2-statistic"</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+                <span class="s2">"df"</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+                <span class="s2">"p-value"</span><span class="p">:</span> <span class="nb">float</span>
+            <span class="p">},</span>
+            <span class="s1">'unique_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s1">'unique_ratio'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'categories'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'gini_impurity'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'unalikeability'</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
+            <span class="s1">'categorical_count'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+            <span class="s1">'avg_predictions'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]],</span>
+            <span class="s1">'label_representation'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]],</span>
+            <span class="s1">'sample_size'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s1">'null_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+            <span class="s1">'null_types'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'null_types_index'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+            <span class="s1">'data_type_representation'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]]</span>
+        <span class="p">},</span>
+        <span class="s2">"null_replication_metrics"</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s2">"class_prior"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
+            <span class="s2">"class_sum"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span>
+            <span class="s2">"class_mean"</span><span class="p">:</span> <span class="nb">list</span><span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">int</span><span class="p">]]</span>
+        <span class="p">}</span>
+    <span class="p">}</span>
+</pre></div>
+</div>
+<p>Below is the unstructured difference report:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
+    <span class="s1">'global_stats'</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">'file_type'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'encoding'</span><span class="p">:</span> <span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">str</span><span class="p">],</span>
+        <span class="s1">'samples_used'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'empty_line_count'</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+        <span class="s1">'memory_size'</span><span class="p">:</span> <span class="nb">float</span>
+    <span class="p">},</span>
+    <span class="s1">'data_stats'</span><span class="p">:</span> <span class="p">{</span>
+        <span class="s1">'data_label'</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s1">'entity_counts'</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'word_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+                <span class="s1">'true_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span>
+                <span class="s1">'postprocess_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]</span>
+            <span class="p">},</span>
+            <span class="s1">'entity_percentages'</span><span class="p">:</span> <span class="p">{</span>
+                <span class="s1">'word_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+                <span class="s1">'true_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">],</span>
+                <span class="s1">'postprocess_char_level'</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">float</span><span class="p">]</span>
+            <span class="p">}</span>
+        <span class="p">},</span>
+        <span class="s1">'statistics'</span><span class="p">:</span> <span class="p">{</span>
+            <span class="s1">'vocab'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'vocab_count'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]],</span>
+            <span class="s1">'words'</span><span class="p">:</span> <span class="p">[</span><span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">],</span> <span class="nb">list</span><span class="p">[</span><span class="nb">str</span><span class="p">]],</span>
+            <span class="s1">'word_count'</span><span class="p">:</span> <span class="p">[</span><span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">],</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span>
+        <span class="p">}</span>
+    <span class="p">}</span>
+<span class="p">}</span>
+</pre></div>
+</div>
+</section>
+<section id="saving-and-loading-a-profile">
+<h3>Saving and Loading a Profile<a class="headerlink" href="#saving-and-loading-a-profile" title="Permalink to this headline">¶</a></h3>
+<p>The profiles can easily be saved and loaded as shown below:</p>
+<p><strong>NOTE: Json saving and loading only supports Structured Profiles currently.</strong></p>
+<p>There are two save/load methods:</p>
+<ul class="simple">
+<li><p><strong>Pickle save/load</strong></p>
+<ul>
+<li><p>Save a profile as a <cite>.pkl</cite> file.</p></li>
+<li><p>Load a <cite>.pkl</cite> file as a profile object.</p></li>
+</ul>
+</li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Read data into profile</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># save structured profile to pkl file</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="c1"># load pkl file to structured profile</span>
+<span class="n">loaded_pkl_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.pkl"</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">loaded_pkl_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">}),</span>
+                                       <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>Json save/load</strong></p>
+<ul>
+<li><p>Save a profile as a human-readable <cite>.json</cite> file.</p></li>
+<li><p>Load a <cite>.json</cite> file as a profile object.</p></li>
+</ul>
+</li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+
+<span class="c1"># Read data into profile</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+
+<span class="c1"># save structured profile to json file</span>
+<span class="n">profile</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.json"</span><span class="p">,</span> <span class="n">save_method</span><span class="o">=</span><span class="s2">"json"</span><span class="p">)</span>
+
+<span class="c1"># load json file to structured profile</span>
+<span class="n">loaded_json_profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filepath</span><span class="o">=</span><span class="s2">"my_profile.json"</span><span class="p">,</span> <span class="n">load_method</span><span class="o">=</span><span class="s2">"json"</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">loaded_json_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">}),</span>
+                                       <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="structured-vs-unstructured-profiles">
+<h3>Structured vs Unstructured Profiles<a class="headerlink" href="#structured-vs-unstructured-profiles" title="Permalink to this headline">¶</a></h3>
+<p>When using the profiler, the data profiler will automatically infer whether to
+create the structured profile or the unstructured profile. However, you can be
+explicit as shown below:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+
+<span class="c1"># Creating a structured profile</span>
+<span class="n">data1</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"normal_csv_file.csv"</span><span class="p">)</span>
+<span class="n">structured_profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data1</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s2">"structured"</span><span class="p">)</span>
+
+<span class="n">structured_report</span> <span class="o">=</span> <span class="n">structured_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">structured_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># Creating an unstructured profile</span>
+<span class="n">data2</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"normal_text_file.txt"</span><span class="p">)</span>
+<span class="n">unstructured_profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data2</span><span class="p">,</span> <span class="n">profiler_type</span><span class="o">=</span><span class="s2">"unstructured"</span><span class="p">)</span>
+
+<span class="n">unstructured_report</span> <span class="o">=</span> <span class="n">unstructured_profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">unstructured_report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="setting-the-sample-size">
+<h3>Setting the Sample Size<a class="headerlink" href="#setting-the-sample-size" title="Permalink to this headline">¶</a></h3>
+<p>There are two ways to set sample size in a profile: samples_per_update and
+min_true_samples. Samples_per_update takes an integer as the exact amount that
+will be sampled. Min_true_samples will set the minimum amount of samples that
+are not null. For example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Profiler</span>
+
+<span class="n">sample_array</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">NULL</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">]</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">sample_array</span><span class="p">,</span> <span class="n">samples_per_update</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The first two samples (1.0 and NULL) are used for the statistical analysis.</p>
+<p>In contrast, if we also set min_true_samples to 2 then the Data Reader will
+continue to read until the minimum true samples were found for the given column.
+For example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Profiler</span>
+
+<span class="n">sample_array</span> <span class="o">=</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">NULL</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">]</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">sample_array</span><span class="p">,</span> <span class="n">samples_per_update</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">min_true_samples</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>This will use all samples in the statistical analysis until the number of “true”
+(non-NULL) values are reached. Both min_true_samples and
+samples_per_update conditions must be met. In this case, the profile will grab
+the first two samples (1.0 and NULL) to satisfy the samples_per_update, and then
+it will grab the first two VALID samples (1.0 and 2.0) to satisfy the
+min_true_samples.</p>
+</section>
+<section id="profile-a-pandas-dataframe">
+<h3>Profile a Pandas DataFrame<a class="headerlink" href="#profile-a-pandas-dataframe" title="Permalink to this headline">¶</a></h3>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+<span class="kn">import</span> <span class="nn">json</span>
+
+<span class="n">my_dataframe</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">],[</span><span class="mi">1</span><span class="p">,</span> <span class="mf">2.2</span><span class="p">],[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]])</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">my_dataframe</span><span class="p">)</span>
+
+<span class="c1"># print the report using json to prettify.</span>
+<span class="n">report</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+
+<span class="c1"># read a specified column, in this case it is labeled 0:</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">[</span><span class="s2">"data stats"</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="specifying-a-filetype-or-delimiter">
+<h3>Specifying a Filetype or Delimiter<a class="headerlink" href="#specifying-a-filetype-or-delimiter" title="Permalink to this headline">¶</a></h3>
+<p>Example of specifying a CSV data type, with a <cite>,</cite> delimiter.
+In addition, it utilizes only the first 10,000 rows.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span>
+<span class="kn">from</span> <span class="nn">dataprofiler.data_readers.csv_data</span> <span class="kn">import</span> <span class="n">CSVData</span>
+
+<span class="c1"># Load a CSV file, with "," as the delimiter</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">CSVData</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="p">{</span><span class="s2">"delimiter"</span><span class="p">:</span> <span class="s2">","</span><span class="p">})</span>
+
+<span class="c1"># Split the data, such that only the first 10,000 rows are used</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">10000</span><span class="p">]</span>
+
+<span class="c1"># Read in profile and print results</span>
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">}),</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</section>
+<section id="setting-profiler-seed">
+<h3>Setting Profiler Seed<a class="headerlink" href="#setting-profiler-seed" title="Permalink to this headline">¶</a></h3>
+<p>Example of specifying a seed for reproducibility.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dataprofiler</span> <span class="k">as</span> <span class="nn">dp</span>
+
+<span class="c1"># Set seed to non-negative integer value or None</span>
+<span class="n">dp</span><span class="o">.</span><span class="n">set_seed</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="profile-statistic-descriptions">
+<h2>Profile Statistic Descriptions<a class="headerlink" href="#profile-statistic-descriptions" title="Permalink to this headline">¶</a></h2>
+<section id="structured-profile">
+<h3>Structured Profile<a class="headerlink" href="#structured-profile" title="Permalink to this headline">¶</a></h3>
+<p><strong>global_stats</strong>:</p>
+<ul class="simple">
+<li><p>samples_used - number of input data samples used to generate this profile</p></li>
+<li><p>column_count - the number of columns contained in the input dataset</p></li>
+<li><p>row_count - the number of rows contained in the input dataset</p></li>
+<li><p>row_has_null_ratio - the proportion of rows that contain at least one null value to the total number of rows</p></li>
+<li><p>row_is_null_ratio - the proportion of rows that are fully comprised of null values (null rows) to the total number of rows</p></li>
+<li><p>unique_row_ratio - the proportion of distinct rows in the input dataset to the total number of rows</p></li>
+<li><p>duplicate_row_count - the number of rows that occur more than once in the input dataset</p></li>
+<li><p>file_type - the format of the file containing the input dataset (ex: .csv)</p></li>
+<li><p>encoding - the encoding of the file containing the input dataset (ex: UTF-8)</p></li>
+<li><p>correlation_matrix - matrix of shape <cite>column_count</cite> x <cite>column_count</cite> containing the correlation coefficients between each column in the dataset</p></li>
+<li><p>chi2_matrix - matrix of shape <cite>column_count</cite> x <cite>column_count</cite> containing the chi-square statistics between each column in the dataset</p></li>
+<li><dl class="simple">
+<dt>profile_schema - a description of the format of the input dataset labeling each column and its index in the dataset</dt><dd><ul>
+<li><p>string - the label of the column in question and its index in the profile schema</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>times - the duration of time it took to generate the global statistics for this dataset in milliseconds</p></li>
+</ul>
+<p><strong>data_stats</strong>:</p>
+<ul class="simple">
+<li><p>column_name - the label/title of this column in the input dataset</p></li>
+<li><p>data_type - the primitive python data type that is contained within this column</p></li>
+<li><p>data_label - the label/entity of the data in this column as determined by the Labeler component</p></li>
+<li><p>categorical - ‘true’ if this column contains categorical data</p></li>
+<li><p>order - the way in which the data in this column is ordered, if any, otherwise “random”</p></li>
+<li><p>samples - a small subset of data entries from this column</p></li>
+<li><dl class="simple">
+<dt>statistics - statistical information on the column</dt><dd><ul>
+<li><p>sample_size - number of input data samples used to generate this profile</p></li>
+<li><p>null_count - the number of null entries in the sample</p></li>
+<li><p>null_types - a list of the different null types present within this sample</p></li>
+<li><p>null_types_index - a dict containing each null type and a respective list of the indicies that it is present within this sample</p></li>
+<li><p>data_type_representation - the percentage of samples used identifying as each data_type</p></li>
+<li><p>min - minimum value in the sample</p></li>
+<li><p>max - maximum value in the sample</p></li>
+<li><p>mode - mode of the entries in the sample</p></li>
+<li><p>median - median of the entries in the sample</p></li>
+<li><p>median_absolute_deviation - the median absolute deviation of the entries in the sample</p></li>
+<li><p>sum - the total of all sampled values from the column</p></li>
+<li><p>mean - the average of all entries in the sample</p></li>
+<li><p>variance - the variance of all entries in the sample</p></li>
+<li><p>stddev - the standard deviation of all entries in the sample</p></li>
+<li><p>skewness - the statistical skewness of all entries in the sample</p></li>
+<li><p>kurtosis - the statistical kurtosis of all entries in the sample</p></li>
+<li><p>num_zeros - the number of entries in this sample that have the value 0</p></li>
+<li><p>num_negatives - the number of entries in this sample that have a value less than 0</p></li>
+<li><dl class="simple">
+<dt>histogram - contains histogram relevant information</dt><dd><ul>
+<li><p>bin_counts - the number of entries within each bin</p></li>
+<li><p>bin_edges - the thresholds of each bin</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>quantiles - the value at each percentile in the order they are listed based on the entries in the sample</p></li>
+<li><p>vocab - a list of the characters used within the entries in this sample</p></li>
+<li><p>avg_predictions - average of the data label prediction confidences across all data points sampled</p></li>
+<li><p>categories - a list of each distinct category within the sample if <cite>categorial</cite> = ‘true’</p></li>
+<li><p>unique_count - the number of distinct entries in the sample</p></li>
+<li><p>unique_ratio - the proportion of the number of distinct entries in the sample to the total number of entries in the sample</p></li>
+<li><p>categorical_count - number of entries sampled for each category if <cite>categorical</cite> = ‘true’</p></li>
+<li><p>gini_impurity - measure of how often a randomly chosen element from the set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the subset</p></li>
+<li><p>unalikeability - a value denoting how frequently entries differ from one another within the sample</p></li>
+<li><p>precision - a dict of statistics with respect to the number of digits in a number for each sample</p></li>
+<li><p>times - the duration of time it took to generate this sample’s statistics in milliseconds</p></li>
+<li><p>format - list of possible datetime formats</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>null_replication_metrics - statistics of data partitioned based on whether column value is null (index 1 of lists referenced by dict keys) or not (index 0)</dt><dd><ul>
+<li><p>class_prior - a list containing probability of a column value being null and not null</p></li>
+<li><p>class_sum - a list containing sum of all other rows based on whether column value is null or not</p></li>
+<li><p>class_mean - a list containing mean of all other rows based on whether column value is null or not</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</section>
+<section id="unstructured-profile">
+<h3>Unstructured Profile<a class="headerlink" href="#unstructured-profile" title="Permalink to this headline">¶</a></h3>
+<p><strong>global_stats</strong>:</p>
+<ul class="simple">
+<li><p>samples_used - number of input data samples used to generate this profile</p></li>
+<li><p>empty_line_count - the number of empty lines in the input data</p></li>
+<li><p>file_type - the file type of the input data (ex: .txt)</p></li>
+<li><p>encoding - file encoding of the input data file (ex: UTF-8)</p></li>
+<li><p>memory_size - size of the input data in MB</p></li>
+<li><p>times - duration of time it took to generate this profile in milliseconds</p></li>
+</ul>
+<p><strong>data_stats</strong>:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>data_label - labels and statistics on the labels of the input data</dt><dd><ul>
+<li><dl class="simple">
+<dt>entity_counts - the number of times a specific label or entity appears inside the input data</dt><dd><ul>
+<li><p>word_level - the number of words counted within each label or entity</p></li>
+<li><p>true_char_level - the number of characters counted within each label or entity as determined by the model</p></li>
+<li><p>postprocess_char_level - the number of characters counted within each label or entity as determined by the postprocessor</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>entity_percentages - the percentages of each label or entity within the input data</dt><dd><ul>
+<li><p>word_level - the percentage of words in the input data that are contained within each label or entity</p></li>
+<li><p>true_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the model</p></li>
+<li><p>postprocess_char_level - the percentage of characters in the input data that are contained within each label or entity as determined by the postprocessor</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>times - the duration of time it took for the data labeler to predict on the data</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>statistics - statistics of the input data</dt><dd><ul>
+<li><p>vocab - a list of each character in the input data</p></li>
+<li><p>vocab_count - the number of occurrences of each distinct character in the input data</p></li>
+<li><p>words - a list of each word in the input data</p></li>
+<li><p>word_count - the number of occurrences of each distinct word in the input data</p></li>
+<li><p>times - the duration of time it took to generate the vocab and words statistics in milliseconds</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</section>
+<section id="graph-profile">
+<h3>Graph Profile<a class="headerlink" href="#graph-profile" title="Permalink to this headline">¶</a></h3>
+<ul class="simple">
+<li><p>num_nodes - number of nodes in the graph</p></li>
+<li><p>num_edges - number of edges in the graph</p></li>
+<li><p>categorical_attributes - list of categorical edge attributes</p></li>
+<li><p>continuous_attributes - list of continuous edge attributes</p></li>
+<li><p>avg_node_degree - average degree of nodes in the graph</p></li>
+<li><p>global_max_component_size: size of the global max component</p></li>
+</ul>
+<p><strong>continuous_distribution</strong>:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>&lt;attribute_N&gt;: name of N-th edge attribute in list of attributes</dt><dd><ul>
+<li><p>name - name of distribution for attribute</p></li>
+<li><p>scale - negative log likelihood used to scale and compare distributions</p></li>
+<li><dl class="simple">
+<dt>properties - list of statistical properties describing the distribution</dt><dd><ul>
+<li><p>[shape (optional), loc, scale, mean, variance, skew, kurtosis]</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+</li>
+</ul>
+<p><strong>categorical_distribution</strong>:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>&lt;attribute_N&gt;: name of N-th edge attribute in list of attributes</dt><dd><ul>
+<li><p>bin_counts: counts in each bin of the distribution histogram</p></li>
+<li><p>bin_edges: edges of each bin of the distribution histogram</p></li>
+</ul>
+</dd>
+</dl>
+</li>
+<li><p>times - duration of time it took to generate this profile in milliseconds</p></li>
+</ul>
+</section>
+</section>
+<section id="profile-options">
+<h2>Profile Options<a class="headerlink" href="#profile-options" title="Permalink to this headline">¶</a></h2>
+<p>The data profiler accepts several options to toggle on and off
+features. The 8 columns (int options, float options, datetime options,
+text options, order options, category options, data labeler options) can be
+enabled or disabled. By default, all options are toggled on. Below is an example
+of how to alter these options. Options shared by structured and unstructured options
+must be specified as structured or unstructured when setting (ie. datalabeler options).</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">json</span>
+<span class="kn">from</span> <span class="nn">dataprofiler</span> <span class="kn">import</span> <span class="n">Data</span><span class="p">,</span> <span class="n">Profiler</span><span class="p">,</span> <span class="n">ProfilerOptions</span>
+
+<span class="c1"># Load and profile a CSV file</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">Data</span><span class="p">(</span><span class="s2">"your_file.csv"</span><span class="p">)</span>
+<span class="n">profile_options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">()</span>
+
+<span class="c1">#All of these are different examples of adjusting the profile options</span>
+
+<span class="c1"># Options can be toggled directly like this:</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">False</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">vocab</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">int</span><span class="o">.</span><span class="n">variance</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">data_labeler_dirpath</span> <span class="o">=</span> \
+    <span class="s2">"Wheres/My/Datalabeler"</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">data_labeler</span><span class="o">.</span><span class="n">is_enabled</span> <span class="o">=</span> <span class="kc">False</span>
+
+<span class="c1"># A dictionary can be sent in to set the properties for all the options</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"structured_options.data_labeler.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span> <span class="s2">"min.is_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+
+<span class="c1"># Specific columns can be set/disabled/enabled in the same way</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">structured_options</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"max.is_enabled"</span><span class="p">:</span><span class="kc">True</span><span class="p">,</span>
+                                         <span class="s2">"variance.is_enabled"</span><span class="p">:</span> <span class="kc">True</span><span class="p">})</span>
+
+<span class="c1"># numeric stats can be turned off/on entirely</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"is_numeric_stats_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+<span class="n">profile_options</span><span class="o">.</span><span class="n">set</span><span class="p">({</span><span class="s2">"int.is_numeric_stats_enabled"</span><span class="p">:</span> <span class="kc">False</span><span class="p">})</span>
+
+<span class="n">profile</span> <span class="o">=</span> <span class="n">Profiler</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">options</span><span class="o">=</span><span class="n">profile_options</span><span class="p">)</span>
+
+<span class="c1"># Print the report using json to prettify.</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">report</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+<p>Below is an breakdown of all the options.</p>
+<ul>
+<li><p><strong>ProfilerOptions</strong> - The top-level options class that contains options for the Profiler class</p>
+<ul>
+<li><p><strong>presets</strong> - A pre-configured mapping of a string name to group of options:</p>
+<ul class="simple">
+<li><p><strong>default is None</strong></p></li>
+<li><p><strong>“complete”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"complete"</span><span class="p">)</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>“data_types”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"data_types"</span><span class="p">)</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>“numeric_stats_disabled”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"numeric_stats_disabled"</span><span class="p">)</span>
+</pre></div>
+</div>
+<ul class="simple">
+<li><p><strong>“lower_memory_sketching”</strong></p></li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">options</span> <span class="o">=</span> <span class="n">ProfilerOptions</span><span class="p">(</span><span class="n">presets</span><span class="o">=</span><span class="s2">"lower_memory_sketching"</span><span class="p">)</span>
+</pre></div>
+</div>
+</li>
+<li><p><strong>structured_options</strong> - Options responsible for all structured data</p>
+<ul class="simple">
+<li><p><strong>multiprocess</strong> - Option to enable multiprocessing. If on, multiprocessing is toggled on if the dataset contains more than 750,000 rows or more than 20 columns.
+Automatically selects the optimal number of pooling processes to utilize based on system constraints when toggled on.</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables multiprocessing</p></li>
+</ul>
+</li>
+<li><p><strong>sampling_ratio</strong> - A percentage, as a decimal, ranging from greater than 0 to less than or equal to 1 indicating how much input data to sample. Default value set to 0.2.</p></li>
+<li><p><strong>int</strong> - Options for the integer columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the integer operations</p></li>
+<li><p>min - Finds minimum value in a column</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables min</p></li>
+<li><p>max - Finds maximum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables max</p></li>
+</ul>
+</li>
+<li><p>mode - Finds mode(s) in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables mode</p></li>
+<li><p>top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.</p></li>
+</ul>
+</li>
+<li><p>median - Finds median value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median</p></li>
+</ul>
+</li>
+<li><p>sum - Finds sum of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables sum</p></li>
+</ul>
+</li>
+<li><p>variance - Finds variance of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables variance</p></li>
+</ul>
+</li>
+<li><p>skewness - Finds skewness of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables skewness</p></li>
+</ul>
+</li>
+<li><p>kurtosis - Finds kurtosis of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables kurtosis</p></li>
+</ul>
+</li>
+<li><p>median_abs_deviation - Finds median absolute deviation of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median absolute deviation</p></li>
+</ul>
+</li>
+<li><p>num_zeros - Finds the count of zeros in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_zeros</p></li>
+</ul>
+</li>
+<li><p>num_negatives - Finds the count of negative numbers in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_negatives</p></li>
+</ul>
+</li>
+<li><p>bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables bias correction</p></li>
+</ul>
+</li>
+<li><p>histogram_and_quantiles - Generates a histogram and quantiles
+from the column values</p>
+<ul>
+<li><p>bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.
+If left unspecified (None) the optimal method will be chosen by attempting all methods.
+If multiple specified (list) the optimal method will be chosen by attempting the provided ones.
+methods: ‘auto’, ‘fd’, ‘doane’, ‘scott’, ‘rice’, ‘sturges’, ‘sqrt’
+Note: ‘auto’ is used to choose optimally between ‘fd’ and ‘sturges’</p></li>
+<li><p>num_quantiles - (Int) Number of quantiles to bin the data.
+Default value is set to 1,000 quantiles.</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables histogram and quantiles</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>float</strong> - Options for the float columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the float operations</p></li>
+<li><p>precision - Finds the precision (significant figures) within the column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables precision</p></li>
+</ul>
+</li>
+<li><p>sample_ratio - (Float) The ratio of 0 to 1 how much data (identified as floats) to utilize as samples in determining precision</p></li>
+<li><p>min - Finds minimum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables min</p></li>
+</ul>
+</li>
+<li><p>max - Finds maximum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables max</p></li>
+</ul>
+</li>
+<li><p>mode - Finds mode(s) in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables mode</p></li>
+<li><p>top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.</p></li>
+</ul>
+</li>
+<li><p>median - Finds median value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median</p></li>
+</ul>
+</li>
+<li><p>sum - Finds sum of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables sum</p></li>
+</ul>
+</li>
+<li><p>variance - Finds variance of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables variance</p></li>
+</ul>
+</li>
+<li><p>skewness - Finds skewness of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables skewness</p></li>
+</ul>
+</li>
+<li><p>kurtosis - Finds kurtosis of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables kurtosis</p></li>
+</ul>
+</li>
+<li><p>median_abs_deviation - Finds median absolute deviation of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median absolute deviation</p></li>
+</ul>
+</li>
+<li><p>is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats</p></li>
+<li><p>num_zeros - Finds the count of zeros in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_zeros</p></li>
+</ul>
+</li>
+<li><p>num_negatives - Finds the count of negative numbers in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_negatives</p></li>
+</ul>
+</li>
+<li><p>bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables bias correction</p></li>
+</ul>
+</li>
+<li><p>histogram_and_quantiles - Generates a histogram and quantiles
+from the column values</p>
+<ul>
+<li><p>bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.
+If left unspecified (None) the optimal method will be chosen by attempting all methods.
+If multiple specified (list) the optimal method will be chosen by attempting the provided ones.
+methods: ‘auto’, ‘fd’, ‘doane’, ‘scott’, ‘rice’, ‘sturges’, ‘sqrt’
+Note: ‘auto’ is used to choose optimally between ‘fd’ and ‘sturges’</p></li>
+<li><p>num_quantiles - (Int) Number of quantiles to bin the data.
+Default value is set to 1,000 quantiles.</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables histogram and quantiles</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>text</strong> - Options for the text columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the text operations</p></li>
+<li><p>vocab - Finds all the unique characters used in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables vocab</p></li>
+</ul>
+</li>
+<li><p>min - Finds minimum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables min</p></li>
+</ul>
+</li>
+<li><p>max - Finds maximum value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables max</p></li>
+</ul>
+</li>
+<li><p>mode - Finds mode(s) in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables mode</p></li>
+<li><p>top_k_modes - (Int) Sets the number of modes to return if multiple exist. Default returns max 5 modes.</p></li>
+</ul>
+</li>
+<li><p>median - Finds median value in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median</p></li>
+</ul>
+</li>
+<li><p>sum - Finds sum of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables sum</p></li>
+</ul>
+</li>
+<li><p>variance - Finds variance of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables variance</p></li>
+</ul>
+</li>
+<li><p>skewness - Finds skewness of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables skewness</p></li>
+</ul>
+</li>
+<li><p>kurtosis - Finds kurtosis of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables kurtosis</p></li>
+</ul>
+</li>
+<li><p>median_abs_deviation - Finds median absolute deviation of all values in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables median absolute deviation</p></li>
+</ul>
+</li>
+<li><p>bias_correction - Applies bias correction to variance, skewness, and kurtosis calculations</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables bias correction</p></li>
+</ul>
+</li>
+<li><p>is_numeric_stats_enabled - (Boolean) enable or disable all numeric stats</p></li>
+<li><p>num_zeros - Finds the count of zeros in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_zeros</p></li>
+</ul>
+</li>
+<li><p>num_negatives - Finds the count of negative numbers in a column</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables num_negatives</p></li>
+</ul>
+</li>
+<li><p>histogram_and_quantiles - Generates a histogram and quantiles
+from the column values</p>
+<ul>
+<li><p>bin_count_or_method - (String/List[String]) Designates preferred method for calculating histogram bins or the number of bins to use.
+If left unspecified (None) the optimal method will be chosen by attempting all methods.
+If multiple specified (list) the optimal method will be chosen by attempting the provided ones.
+methods: ‘auto’, ‘fd’, ‘doane’, ‘scott’, ‘rice’, ‘sturges’, ‘sqrt’
+Note: ‘auto’ is used to choose optimally between ‘fd’ and ‘sturges’</p></li>
+<li><p>num_quantiles - (Int) Number of quantiles to bin the data.
+Default value is set to 1,000 quantiles.</p></li>
+<li><p>is_enabled - (Boolean) Enables or disables histogram and quantiles</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>datetime</strong> - Options for the datetime columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the datetime operations</p></li>
+</ul>
+</li>
+<li><p><strong>order</strong> - Options for the order columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the order operations</p></li>
+</ul>
+</li>
+<li><p><strong>category</strong> - Options for the category columns</p>
+<ul>
+<li><p>is_enabled  - (Boolean) Enables or disables the category operations</p></li>
+<li><p>top_k_categories - (int) Number of categories to be displayed when reporting</p></li>
+<li><p>max_sample_size_to_check_stop_condition - (int) The maximum sample size before categorical stop conditions are checked</p></li>
+<li><p>stop_condition_unique_value_ratio - (float) The highest ratio of unique values to dataset size that is to be considered a categorical type</p></li>
+<li><p>cms - (Boolean) Enables or Disables the use of count min sketch / heavy hitters for approximate frequency counts</p></li>
+<li><p>cms_confidence - (float) Defines the number of hashes used in CMS, default 0.95</p></li>
+<li><p>cms_relative_error - (float) Defines the number of buckets used in CMS, default 0.01</p></li>
+<li><p>cms_max_num_heavy_hitters - (int) The value used to define the threshold for minimum frequency required by a category to be counted</p></li>
+</ul>
+</li>
+<li><p><strong>data_labeler</strong> - Options for the data labeler columns</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the data labeler operations</p></li>
+<li><p>data_labeler_dirpath - (String) Directory path to data labeler</p></li>
+<li><p>data_labeler_object - (BaseDataLabeler) Datalabeler to replace
+the default labeler</p></li>
+<li><p>max_sample_size - (Int) The max number of samples for the data
+labeler</p></li>
+</ul>
+</li>
+<li><p><strong>correlation</strong> - Option set for correlation profiling
+* is_enabled - (Boolean) Enables or disables performing correlation profiling
+* columns - Columns considered to calculate correlation</p></li>
+<li><p><strong>row_statistics</strong> - (Boolean) Option to enable/disable row statistics calculations</p>
+<ul>
+<li><p>unique_count - (UniqueCountOptions) Option to enable/disable unique row count calculations</p>
+<ul>
+<li><p>is_enabled - (Bool) Enables or disables options for unique row count</p></li>
+<li><p>hashing_method - (String) Property to specify row hashing method (“full” | “hll”)</p></li>
+<li><p>hll - (HyperLogLogOptions) Options for alternative method of estimating unique row count (activated when <cite>hll</cite> is the selected hashing_method)</p>
+<ul>
+<li><p>seed - (Int) Used to set HLL hashing function seed</p></li>
+<li><p>register_count - (Int) Number of registers is equal to 2^register_count</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p>null_count - (Boolean) Option to enable/disable functionalities for row_has_null_ratio and row_is_null_ratio</p></li>
+</ul>
+</li>
+<li><p><strong>chi2_homogeneity</strong> - Options for the chi-squared test matrix</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables performing chi-squared tests for homogeneity between the categorical columns of the dataset.</p></li>
+</ul>
+</li>
+<li><p><strong>null_replication_metrics</strong> - Options for calculating null replication metrics</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables calculation of null replication metrics</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>unstructured_options</strong> - Options responsible for all unstructured data</p>
+<ul class="simple">
+<li><p><strong>text</strong> - Options for the text profile</p>
+<ul>
+<li><p>is_case_sensitive - (Boolean) Specify whether the profile is case sensitive</p></li>
+<li><p>stop_words - (List of Strings) List of stop words to be removed when profiling</p></li>
+<li><p>top_k_chars - (Int) Number of top characters to be retrieved when profiling</p></li>
+<li><p>top_k_words - (Int) Number of top words to be retrieved when profiling</p></li>
+<li><p>vocab - Options for vocab count</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the vocab stats</p></li>
+</ul>
+</li>
+<li><p>words - Options for word count</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the word stats</p></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p><strong>data_labeler</strong> - Options for the data labeler</p>
+<ul>
+<li><p>is_enabled - (Boolean) Enables or disables the data labeler operations</p></li>
+<li><p>data_labeler_dirpath - (String) Directory path to data labeler</p></li>
+<li><p>data_labeler_object - (BaseDataLabeler) Datalabeler to replace
+the default labeler</p></li>
+<li><p>max_sample_size - (Int) The max number of samples for the data
+labeler</p></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</section>
+<section id="statistical-dependency-on-order-of-updates">
+<h2>Statistical Dependency on Order of Updates<a class="headerlink" href="#statistical-dependency-on-order-of-updates" title="Permalink to this headline">¶</a></h2>
+<p>Some profile features/statistics are dependent on the order in which the profiler
+is updated with new data.</p>
+<section id="order-profile">
+<h3>Order Profile<a class="headerlink" href="#order-profile" title="Permalink to this headline">¶</a></h3>
+<p>The order profiler utilizes the last value in the previous data batch to ensure
+the subsequent dataset is above/below/equal to that value when predicting
+non-random order.</p>
+<p>For instance, a dataset to be predicted as ascending would require the following
+batch data update to be ascending and its first value <cite>&gt;=</cite> than that of the
+previous batch of data.</p>
+<p>Ex. of ascending:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">batch_1</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span>
+<span class="n">batch_2</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>Ex. of random:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">batch_1</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">]</span>
+<span class="n">batch_2</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]</span> <span class="c1"># notice how the first value is less than the last value in the previous batch</span>
+</pre></div>
+</div>
+</section>
+</section>
+<section id="reporting-structure">
+<h2>Reporting Structure<a class="headerlink" href="#reporting-structure" title="Permalink to this headline">¶</a></h2>
+<p>For every profile, we can provide a report and customize it with a couple optional parameters:</p>
+<ul class="simple">
+<li><p>output_format (string)</p>
+<ul>
+<li><p>This will allow the user to decide the output format for report.</p>
+<ul>
+<li><p>Options are one of [pretty, compact, serializable, flat]:</p>
+<ul>
+<li><p>Pretty: floats are rounded to four decimal places, and lists are shortened.</p></li>
+<li><p>Compact: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.</p></li>
+<li><p>Serializable: Output is json serializable and not prettified</p></li>
+<li><p>Flat: Nested output is returned as a flattened dictionary</p></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li><p>num_quantile_groups (int)</p>
+<ul>
+<li><p>You can sample your data as you like! With a minimum of one and a maximum of 1000, you can decide the number of quantile groups!</p></li>
+</ul>
+</li>
+</ul>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"pretty"</span><span class="p">})</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"compact"</span><span class="p">})</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"serializable"</span><span class="p">})</span>
+<span class="n">report</span>  <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">report</span><span class="p">(</span><span class="n">report_options</span><span class="o">=</span><span class="p">{</span><span class="s2">"output_format"</span><span class="p">:</span> <span class="s2">"flat"</span><span class="p">})</span>
+</pre></div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="data_labeling.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Labeler (Sensitive Data)</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="data_readers.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Data Readers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/profiler.rst.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Profiler</a><ul>
+<li><a class="reference internal" href="#profile-your-data">Profile Your Data</a><ul>
+<li><a class="reference internal" href="#load-a-file">Load a File</a></li>
+<li><a class="reference internal" href="#profile-a-file">Profile a File</a></li>
+<li><a class="reference internal" href="#updating-profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#merging-profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#profile-differences">Profile Differences</a></li>
+<li><a class="reference internal" href="#saving-and-loading-a-profile">Saving and Loading a Profile</a></li>
+<li><a class="reference internal" href="#structured-vs-unstructured-profiles">Structured vs Unstructured Profiles</a></li>
+<li><a class="reference internal" href="#setting-the-sample-size">Setting the Sample Size</a></li>
+<li><a class="reference internal" href="#profile-a-pandas-dataframe">Profile a Pandas DataFrame</a></li>
+<li><a class="reference internal" href="#specifying-a-filetype-or-delimiter">Specifying a Filetype or Delimiter</a></li>
+<li><a class="reference internal" href="#setting-profiler-seed">Setting Profiler Seed</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#profile-statistic-descriptions">Profile Statistic Descriptions</a><ul>
+<li><a class="reference internal" href="#structured-profile">Structured Profile</a></li>
+<li><a class="reference internal" href="#unstructured-profile">Unstructured Profile</a></li>
+<li><a class="reference internal" href="#graph-profile">Graph Profile</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#profile-options">Profile Options</a></li>
+<li><a class="reference internal" href="#statistical-dependency-on-order-of-updates">Statistical Dependency on Order of Updates</a><ul>
+<li><a class="reference internal" href="#order-profile">Order Profile</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#reporting-structure">Reporting Structure</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/profiler_example.html b/docs/0.10.3/html/profiler_example.html
new file mode 100644
index 000000000..269f2365b
--- /dev/null
+++ b/docs/0.10.3/html/profiler_example.html
@@ -0,0 +1,948 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Unstructured Profilers" href="unstructured_profiler_example.html" /><link rel="prev" title="Intro to Data Readers" href="data_reader.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Structured Profilers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/profiler_example.nblink">View this notebook on GitHub</a></p>
+<section id="Structured-Profilers">
+<h1>Structured Profilers<a class="headerlink" href="#Structured-Profilers" title="Permalink to this headline">¶</a></h1>
+<p><strong>Data profiling</strong> - <em>is the process of examining a dataset and collecting statistical or informational summaries about said dataset.</em></p>
+<p>The Profiler class inside the DataProfiler is designed to generate <em>data profiles</em> via the Profiler class, which ingests either a Data class or a Pandas DataFrame.</p>
+<p>Currently, the Data class supports loading the following file formats:</p>
+<ul class="simple">
+<li><p>Any delimited (CSV, TSV, etc.)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro</p></li>
+<li><p>Parquet</p></li>
+<li><p>Text files</p></li>
+<li><p>Pandas Series/Dataframe</p></li>
+</ul>
+<p>Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.</p>
+<p>This example will look at specifically the structured data types for structured profiling.</p>
+<section id="Reporting">
+<h2>Reporting<a class="headerlink" href="#Reporting" title="Permalink to this headline">¶</a></h2>
+<p>One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.</p>
+<p>In terms of reporting, there are multiple reporting options:</p>
+<ul class="simple">
+<li><p><strong>Pretty</strong>: Floats are rounded to four decimal places, and lists are shortened.</p></li>
+<li><p><strong>Compact</strong>: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.</p></li>
+<li><p><strong>Serializable</strong>: Output is json serializable and not prettified</p></li>
+<li><p><strong>Flat</strong>: Nested Output is returned as a flattened dictionary</p></li>
+</ul>
+<p>The <strong>Pretty</strong> and <strong>Compact</strong> reports are the two most commonly used reports and includes <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> and <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> for the given dataset. <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio. <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> contains specific properties and statistics for each column file such as min, max, mean, variance, etc.</p>
+<p>For structured profiles, the report looks like this:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>"global_stats": {
+    "samples_used": int,
+    "column_count": int,
+    "row_count": int,
+    "row_has_null_ratio": float,
+    "row_is_null_ratio": float,
+    "unique_row_ratio": float,
+    "duplicate_row_count": int,
+    "file_type": string,
+    "encoding": string,
+},
+"data_stats": [
+    {
+        "column_name": string,
+        "data_type": string,
+        "data_label": string,
+        "categorical": bool,
+        "order": string,
+        "samples": list(str),
+        "statistics": {
+            "sample_size": int,
+            "null_count": int,
+            "null_types": list(string),
+            "null_types_index": {
+                string: list(int)
+            },
+            "data_type_representation": [string, list(string)],
+            "min": [null, float],
+            "max": [null, float],
+            "mean": float,
+            "variance": float,
+            "stddev": float,
+            "histogram": {
+                "bin_counts": list(int),
+                "bin_edges": list(float),
+            },
+            "quantiles": {
+                int: float
+            }
+            "vocab": list(char),
+            "avg_predictions": dict(float),
+            "data_label_representation": dict(float),
+            "categories": list(str),
+            "unique_count": int,
+            "unique_ratio": float,
+            "precision": {
+                'min': int,
+                'max': int,
+                'mean': float,
+                'var': float,
+                'std': float,
+                'sample_size': int,
+                'margin_of_error': float,
+                'confidence_level': float
+            },
+            "times": dict(float),
+            "format": string
+        }
+    }
+]
+</pre></div>
+</div>
+<p>In the example, the <code class="docutils literal notranslate"><span class="pre">compact</span></code> format of the report is used to shorten the full list of the results.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+except ImportError:
+    import dataprofiler as dp
+
+data_path = "../dataprofiler/tests/data"
+
+# remove extra tf loggin
+import tensorflow as tf
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(os.path.join(data_path, "csv/aws_honeypot_marx_geo.csv"))
+profile = dp.Profiler(data)
+
+# Compact - A high level view, good for quick reviews
+report  = profile.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>It should be noted, in addition to reading the input data from multiple file types, DataProfiler allows the input data as a dataframe. To get more results related to detailed predictions at the entity level from the DataLabeler component or histogram results, the format <code class="docutils literal notranslate"><span class="pre">pretty</span></code> should be used.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># run data profiler and get the report
+import pandas as pd
+my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=["col_int", "col_float"])
+profile = dp.Profiler(my_dataframe)
+
+report  = profile.report(report_options={"output_format":"pretty"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-Type">
+<h2>Profiler Type<a class="headerlink" href="#Profiler-Type" title="Permalink to this headline">¶</a></h2>
+<p>The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(os.path.join(data_path, "csv/aws_honeypot_marx_geo.csv"))
+profile = dp.Profiler(data, profiler_type='structured')
+
+# print the report using json to prettify.
+report = profile.report(report_options={"output_format": "pretty"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-options">
+<h2>Profiler options<a class="headerlink" href="#Profiler-options" title="Permalink to this headline">¶</a></h2>
+<p>The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the <code class="docutils literal notranslate"><span class="pre">ProfilerOptions</span></code> class.</p>
+<p>For example, if a user doesn’t require histogram information they may desire to turn off the histogram functionality. Simialrly, if a user is looking for a more accurate labeling, they can increase the samples used to label.</p>
+<p>Below, let’s remove the histogram and increase the number of samples to the labeler component (1,000 samples).</p>
+<p>Full list of options in the Profiler section of the <a class="reference external" href="https://capitalone.github.io/DataProfiler/profile_options.html">DataProfiler documentation</a>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(os.path.join(data_path, "csv/diamonds.csv"))
+
+profile_options = dp.ProfilerOptions()
+
+# Setting multiple options via set
+profile_options.set({ "histogram.is_enabled": False, "int.is_enabled": False})
+
+# Set options via directly setting them
+profile_options.structured_options.data_labeler.max_sample_size = 1000
+
+profile = dp.Profiler(data, options=profile_options)
+report  = profile.report(report_options={"output_format":"compact"})
+
+# Print the report
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Updating-Profiles">
+<h2>Updating Profiles<a class="headerlink" href="#Updating-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load and profile a CSV file
+data = dp.Data(os.path.join(data_path, "csv/sparse-first-and-last-column-header-and-author.txt"))
+profile = dp.Profiler(data)
+
+# Update the profile with new data:
+new_data = dp.Data(os.path.join(data_path, "csv/sparse-first-and-last-column-skip-header.txt"))
+# new_data = dp.Data(os.path.join(data_path, "iris-utf-16.csv")) # will error due to schema mismatch
+profile.update_profile(new_data)
+
+# Take a peek at the data
+print(data.data)
+print(new_data.data)
+
+# Report the compact version of the profile
+report  = profile.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Merging-Profiles">
+<h2>Merging Profiles<a class="headerlink" href="#Merging-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple <code class="docutils literal notranslate"><span class="pre">+</span></code> command: <code class="docutils literal notranslate"><span class="pre">profile3</span> <span class="pre">=</span> <span class="pre">profile1</span> <span class="pre">+</span> <span class="pre">profile2</span></code></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load a CSV file with a schema
+data1 = dp.Data(os.path.join(data_path, "csv/sparse-first-and-last-column-header-and-author.txt"))
+profile1 = dp.Profiler(data1)
+
+# Load another CSV file with the same schema
+data2 = dp.Data(os.path.join(data_path, "csv/sparse-first-and-last-column-skip-header.txt"))
+profile2 = dp.Profiler(data2)
+
+# Merge the profiles
+profile3 = profile1 + profile2
+
+# Report the compact version of the profile
+report  = profile3.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>As you can see, the <code class="docutils literal notranslate"><span class="pre">update_profile</span></code> function and the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator function similarly. The reason the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator is important is that it’s possible to <em>save and load profiles</em>, which we cover next.</p>
+</section>
+<section id="Differences-in-Data">
+<h2>Differences in Data<a class="headerlink" href="#Differences-in-Data" title="Permalink to this headline">¶</a></h2>
+<p>Can be applied to both structured and unstructured datasets.</p>
+<p>Such reports can provide details on the differences between training and validation data like in this pseudo example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">profiler_training</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">training_data</span><span class="p">)</span>
+<span class="n">profiler_testing</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">testing_data</span><span class="p">)</span>
+
+<span class="n">validation_report</span> <span class="o">=</span> <span class="n">profiler_training</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profiler_testing</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>from pprint import pprint
+
+# structured differences example
+data_split_differences = profile1.diff(profile2)
+pprint(data_split_differences)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Graphing-a-Profile">
+<h2>Graphing a Profile<a class="headerlink" href="#Graphing-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>We’ve also added the ability to generating visual reports from a profile.</p>
+<p>The following plots are currently available to work directly with your profilers:</p>
+<ul class="simple">
+<li><p>missing values matrix</p></li>
+<li><p>histogram (numeric columns only)</p></li>
+</ul>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import matplotlib.pyplot as plt
+
+
+# get the data
+data_folder = "../dataprofiler/tests/data"
+data = dp.Data(os.path.join(data_folder, "csv/aws_honeypot_marx_geo.csv"))
+
+# profile the data
+profile = dp.Profiler(data)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># generate a missing values matrix
+fig = plt.figure(figsize=(8, 6), dpi=100)
+fig = dp.graphs.plot_missing_values_matrix(profile, ax=fig.gca(), title="Missing Values Matrix")
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># generate histogram of all int/float columns
+fig = dp.graphs.plot_histograms(profile)
+fig.set_size_inches(8, 6)
+fig.set_dpi(100)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Saving-and-Loading-a-Profile">
+<h2>Saving and Loading a Profile<a class="headerlink" href="#Saving-and-Loading-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>Not only can the Profiler create and update profiles, it’s also possible to save, load then manipulate profiles.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load data
+data = dp.Data(os.path.join(data_path, "csv/names-col.txt"))
+
+# Generate a profile
+profile = dp.Profiler(data)
+
+# Save a profile to disk for later (saves as pickle file)
+profile.save(filepath="my_profile.pkl")
+
+# Load a profile from disk
+loaded_profile = dp.Profiler.load("my_profile.pkl")
+
+# Report the compact version of the profile
+report = profile.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load a multiple files via the Data class
+filenames = ["csv/sparse-first-and-last-column-header-and-author.txt",
+             "csv/sparse-first-and-last-column-skip-header.txt"]
+data_objects = []
+for filename in filenames:
+    data_objects.append(dp.Data(os.path.join(data_path, filename)))
+
+
+# Generate and save profiles
+for i in range(len(data_objects)):
+    profile = dp.Profiler(data_objects[i])
+    profile.save(filepath="data-"+str(i)+".pkl")
+
+
+# Load profiles and add them together
+profile = None
+for i in range(len(data_objects)):
+    if profile is None:
+        profile = dp.Profiler.load("data-"+str(i)+".pkl")
+    else:
+        profile += dp.Profiler.load("data-"+str(i)+".pkl")
+
+
+# Report the compact version of the profile
+report = profile.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="unstructured_profiler_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Unstructured Profilers</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="data_reader.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Intro to Data Readers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/profiler_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Structured Profilers</a><ul>
+<li><a class="reference internal" href="#Reporting">Reporting</a></li>
+<li><a class="reference internal" href="#Profiler-Type">Profiler Type</a></li>
+<li><a class="reference internal" href="#Profiler-options">Profiler options</a></li>
+<li><a class="reference internal" href="#Updating-Profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#Merging-Profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#Differences-in-Data">Differences in Data</a></li>
+<li><a class="reference internal" href="#Graphing-a-Profile">Graphing a Profile</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/profiler_example.ipynb b/docs/0.10.3/html/profiler_example.ipynb
new file mode 100644
index 000000000..b6a4409c9
--- /dev/null
+++ b/docs/0.10.3/html/profiler_example.ipynb
@@ -0,0 +1,577 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Structured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the structured data types for structured profiling. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics such as runtimes, label probabilities, index locations of null types, etc.\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as number of rows/columns, null ratio, duplicate ratio. `data_stats` contains specific properties and statistics for each column file such as min, max, mean, variance, etc.\n",
+    "\n",
+    "For structured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"column_count\": int,\n",
+    "    \"row_count\": int,\n",
+    "    \"row_has_null_ratio\": float,\n",
+    "    \"row_is_null_ratio\": float,    \n",
+    "    \"unique_row_ratio\": float,\n",
+    "    \"duplicate_row_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string,\n",
+    "},\n",
+    "\"data_stats\": [\n",
+    "    {\n",
+    "        \"column_name\": string,\n",
+    "        \"data_type\": string,\n",
+    "        \"data_label\": string,\n",
+    "        \"categorical\": bool,\n",
+    "        \"order\": string,\n",
+    "        \"samples\": list(str),\n",
+    "        \"statistics\": {\n",
+    "            \"sample_size\": int,\n",
+    "            \"null_count\": int,\n",
+    "            \"null_types\": list(string),\n",
+    "            \"null_types_index\": {\n",
+    "                string: list(int)\n",
+    "            },\n",
+    "            \"data_type_representation\": [string, list(string)],\n",
+    "            \"min\": [null, float],\n",
+    "            \"max\": [null, float],\n",
+    "            \"mean\": float,\n",
+    "            \"variance\": float,\n",
+    "            \"stddev\": float,\n",
+    "            \"histogram\": { \n",
+    "                \"bin_counts\": list(int),\n",
+    "                \"bin_edges\": list(float),\n",
+    "            },\n",
+    "            \"quantiles\": {\n",
+    "                int: float\n",
+    "            }\n",
+    "            \"vocab\": list(char),\n",
+    "            \"avg_predictions\": dict(float), \n",
+    "            \"data_label_representation\": dict(float),\n",
+    "            \"categories\": list(str),\n",
+    "            \"unique_count\": int,\n",
+    "            \"unique_ratio\": float,\n",
+    "            \"precision\": {\n",
+    "                'min': int,\n",
+    "                'max': int,\n",
+    "                'mean': float,\n",
+    "                'var': float,\n",
+    "                'std': float,\n",
+    "                'sample_size': int,\n",
+    "                'margin_of_error': float,\n",
+    "                'confidence_level': float\t\t\n",
+    "            },\n",
+    "            \"times\": dict(float),\n",
+    "            \"format\": string\n",
+    "        }\n",
+    "    }\n",
+    "]\n",
+    "```\n",
+    "\n",
+    "In the example, the `compact` format of the report is used to shorten the full list of the results. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Compact - A high level view, good for quick reviews\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from multiple file types, DataProfiler allows the input data as a dataframe. To get more results related to detailed predictions at the entity level from the DataLabeler component or histogram results, the format `pretty` should be used. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "my_dataframe = pd.DataFrame([[1, 2.0],[1, 2.2],[-1, 3]], columns=[\"col_int\", \"col_float\"])\n",
+    "profile = dp.Profiler(my_dataframe)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "241f6e3e",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b20879b",
+   "metadata": {},
+   "source": [
+    "The profiler will infer what type of statistics to generate (structured or unstructured) based on the input. However, you can explicitly specify profile type as well. Here is an example of the the profiler explicitly calling the structured profile."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dc44eb47",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "profile = dp.Profiler(data, profiler_type='structured')\n",
+    "\n",
+    "# print the report using json to prettify.\n",
+    "report = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require histogram information they may desire to turn off the histogram functionality. Simialrly, if a user is looking for a more accurate labeling, they can increase the samples used to label.\n",
+    "\n",
+    "Below, let's remove the histogram and increase the number of samples to the labeler component (1,000 samples). \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"csv/diamonds.csv\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"histogram.is_enabled\": False, \"int.is_enabled\": False})\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.structured_options.data_labeler.max_sample_size = 1000\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "# new_data = dp.Data(os.path.join(data_path, \"iris-utf-16.csv\")) # will error due to schema mismatch\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-header-and-author.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"csv/sparse-first-and-last-column-skip-header.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "375ff25c-b189-436a-b07d-5e7f13cc6e03",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "65360a03-e3ff-4f3c-9963-412298fdb284",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# structured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ae471ff-852f-400a-9bee-5c9fef96f10a",
+   "metadata": {},
+   "source": [
+    "## Graphing a Profile\n",
+    "\n",
+    "We've also added the ability to generating visual reports from a profile.\n",
+    "\n",
+    "The following plots are currently available to work directly with your profilers:\n",
+    "\n",
+    "  * missing values matrix\n",
+    "  * histogram (numeric columns only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "734b588d-ac9a-409c-8eb5-b1a0aede8c63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "# get the data\n",
+    "data_folder = \"../dataprofiler/tests/data\"\n",
+    "data = dp.Data(os.path.join(data_folder, \"csv/aws_honeypot_marx_geo.csv\"))\n",
+    "\n",
+    "# profile the data\n",
+    "profile = dp.Profiler(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4e70204-fa30-43c2-9556-e84c19f82d32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate a missing values matrix\n",
+    "fig = plt.figure(figsize=(8, 6), dpi=100)\n",
+    "fig = dp.graphs.plot_missing_values_matrix(profile, ax=fig.gca(), title=\"Missing Values Matrix\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d734d355-e542-4245-a1e9-66521e333c2d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate histogram of all int/float columns\n",
+    "fig = dp.graphs.plot_histograms(profile)\n",
+    "fig.set_size_inches(8, 6)\n",
+    "fig.set_dpi(100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/names-col.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"csv/sparse-first-and-last-column-header-and-author.txt\",\n",
+    "             \"csv/sparse-first-and-last-column-skip-header.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4690068a-8fc3-4bd5-8649-63d0f34fa91d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/py-modindex.html b/docs/0.10.3/html/py-modindex.html
new file mode 100644
index 000000000..b08ac9e5d
--- /dev/null
+++ b/docs/0.10.3/html/py-modindex.html
@@ -0,0 +1,604 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/><title>Python Module Index - Data Profiler v0.10.3</title>
+<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<section class="domainindex-section">
+  <h1>Python Module Index</h1>
+  <div class="domainindex-jumpbox"><a href="#cap-d"><strong>d</strong></a></div>
+</section>
+<table class="domainindex-table">
+  <tr class="pcap">
+    <td></td><td>&#160;</td><td></td>
+  </tr>
+  <tr class="cap" id="cap-d">
+    <td></td><td><strong>d</strong></td><td></td>
+  </tr>
+  <tr>
+    <td><img src="_static/minus.png" class="toggler"
+              id="toggle-1" style="display: none" alt="-" /></td>
+    <td>
+        <a href="dataprofiler.html#module-dataprofiler"><code class="xref">dataprofiler</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.html#module-dataprofiler.data_readers"><code class="xref">dataprofiler.data_readers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.avro_data.html#module-dataprofiler.data_readers.avro_data"><code class="xref">dataprofiler.data_readers.avro_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.base_data.html#module-dataprofiler.data_readers.base_data"><code class="xref">dataprofiler.data_readers.base_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.csv_data.html#module-dataprofiler.data_readers.csv_data"><code class="xref">dataprofiler.data_readers.csv_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.data.html#module-dataprofiler.data_readers.data"><code class="xref">dataprofiler.data_readers.data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.data_utils.html#module-dataprofiler.data_readers.data_utils"><code class="xref">dataprofiler.data_readers.data_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.filepath_or_buffer.html#module-dataprofiler.data_readers.filepath_or_buffer"><code class="xref">dataprofiler.data_readers.filepath_or_buffer</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.graph_data.html#module-dataprofiler.data_readers.graph_data"><code class="xref">dataprofiler.data_readers.graph_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.json_data.html#module-dataprofiler.data_readers.json_data"><code class="xref">dataprofiler.data_readers.json_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.parquet_data.html#module-dataprofiler.data_readers.parquet_data"><code class="xref">dataprofiler.data_readers.parquet_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.structured_mixins.html#module-dataprofiler.data_readers.structured_mixins"><code class="xref">dataprofiler.data_readers.structured_mixins</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.data_readers.text_data.html#module-dataprofiler.data_readers.text_data"><code class="xref">dataprofiler.data_readers.text_data</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.dp_logging.html#module-dataprofiler.dp_logging"><code class="xref">dataprofiler.dp_logging</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.html#module-dataprofiler.labelers"><code class="xref">dataprofiler.labelers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.base_data_labeler.html#module-dataprofiler.labelers.base_data_labeler"><code class="xref">dataprofiler.labelers.base_data_labeler</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.base_model.html#module-dataprofiler.labelers.base_model"><code class="xref">dataprofiler.labelers.base_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.char_load_tf_model.html#module-dataprofiler.labelers.char_load_tf_model"><code class="xref">dataprofiler.labelers.char_load_tf_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.character_level_cnn_model.html#module-dataprofiler.labelers.character_level_cnn_model"><code class="xref">dataprofiler.labelers.character_level_cnn_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.classification_report_utils.html#module-dataprofiler.labelers.classification_report_utils"><code class="xref">dataprofiler.labelers.classification_report_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.column_name_model.html#module-dataprofiler.labelers.column_name_model"><code class="xref">dataprofiler.labelers.column_name_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.data_labelers.html#module-dataprofiler.labelers.data_labelers"><code class="xref">dataprofiler.labelers.data_labelers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.data_processing.html#module-dataprofiler.labelers.data_processing"><code class="xref">dataprofiler.labelers.data_processing</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.labeler_utils.html#module-dataprofiler.labelers.labeler_utils"><code class="xref">dataprofiler.labelers.labeler_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.regex_model.html#module-dataprofiler.labelers.regex_model"><code class="xref">dataprofiler.labelers.regex_model</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.labelers.utils.html#module-dataprofiler.labelers.utils"><code class="xref">dataprofiler.labelers.utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.html#module-dataprofiler.profilers"><code class="xref">dataprofiler.profilers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.base_column_profilers.html#module-dataprofiler.profilers.base_column_profilers"><code class="xref">dataprofiler.profilers.base_column_profilers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.categorical_column_profile.html#module-dataprofiler.profilers.categorical_column_profile"><code class="xref">dataprofiler.profilers.categorical_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.column_profile_compilers.html#module-dataprofiler.profilers.column_profile_compilers"><code class="xref">dataprofiler.profilers.column_profile_compilers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.data_labeler_column_profile.html#module-dataprofiler.profilers.data_labeler_column_profile"><code class="xref">dataprofiler.profilers.data_labeler_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.datetime_column_profile.html#module-dataprofiler.profilers.datetime_column_profile"><code class="xref">dataprofiler.profilers.datetime_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.float_column_profile.html#module-dataprofiler.profilers.float_column_profile"><code class="xref">dataprofiler.profilers.float_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.graph_profiler.html#module-dataprofiler.profilers.graph_profiler"><code class="xref">dataprofiler.profilers.graph_profiler</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.helpers.html#module-dataprofiler.profilers.helpers"><code class="xref">dataprofiler.profilers.helpers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.helpers.report_helpers.html#module-dataprofiler.profilers.helpers.report_helpers"><code class="xref">dataprofiler.profilers.helpers.report_helpers</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.histogram_utils.html#module-dataprofiler.profilers.histogram_utils"><code class="xref">dataprofiler.profilers.histogram_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.int_column_profile.html#module-dataprofiler.profilers.int_column_profile"><code class="xref">dataprofiler.profilers.int_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.json_decoder.html#module-dataprofiler.profilers.json_decoder"><code class="xref">dataprofiler.profilers.json_decoder</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.json_encoder.html#module-dataprofiler.profilers.json_encoder"><code class="xref">dataprofiler.profilers.json_encoder</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.numerical_column_stats.html#module-dataprofiler.profilers.numerical_column_stats"><code class="xref">dataprofiler.profilers.numerical_column_stats</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.order_column_profile.html#module-dataprofiler.profilers.order_column_profile"><code class="xref">dataprofiler.profilers.order_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.profile_builder.html#module-dataprofiler.profilers.profile_builder"><code class="xref">dataprofiler.profilers.profile_builder</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.profiler_options.html#module-dataprofiler.profilers.profiler_options"><code class="xref">dataprofiler.profilers.profiler_options</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.profiler_utils.html#module-dataprofiler.profilers.profiler_utils"><code class="xref">dataprofiler.profilers.profiler_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.text_column_profile.html#module-dataprofiler.profilers.text_column_profile"><code class="xref">dataprofiler.profilers.text_column_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.unstructured_labeler_profile.html#module-dataprofiler.profilers.unstructured_labeler_profile"><code class="xref">dataprofiler.profilers.unstructured_labeler_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.profilers.unstructured_text_profile.html#module-dataprofiler.profilers.unstructured_text_profile"><code class="xref">dataprofiler.profilers.unstructured_text_profile</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.reports.html#module-dataprofiler.reports"><code class="xref">dataprofiler.reports</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.reports.graphs.html#module-dataprofiler.reports.graphs"><code class="xref">dataprofiler.reports.graphs</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.reports.utils.html#module-dataprofiler.reports.utils"><code class="xref">dataprofiler.reports.utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.rng_utils.html#module-dataprofiler.rng_utils"><code class="xref">dataprofiler.rng_utils</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.settings.html#module-dataprofiler.settings"><code class="xref">dataprofiler.settings</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.validators.html#module-dataprofiler.validators"><code class="xref">dataprofiler.validators</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.validators.base_validators.html#module-dataprofiler.validators.base_validators"><code class="xref">dataprofiler.validators.base_validators</code></a></td><td>
+    <em></em></td>
+  </tr>
+  <tr class="cg-1">
+    <td></td>
+    <td>&#160;&#160;&#160;
+        <a href="dataprofiler.version.html#module-dataprofiler.version"><code class="xref">dataprofiler.version</code></a></td><td>
+    <em></em></td>
+  </tr>
+</table>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/regex_labeler_from_scratch.html b/docs/0.10.3/html/regex_labeler_from_scratch.html
new file mode 100644
index 000000000..6eb9a2e94
--- /dev/null
+++ b/docs/0.10.3/html/regex_labeler_from_scratch.html
@@ -0,0 +1,857 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="ColumnName Labeler Tutorial" href="column_name_labeler_example.html" /><link rel="prev" title="Adding new model to the existing DataLabeler pipeline" href="add_new_model_to_data_labeler.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Building a Regex Data Labeler w/ your own Regex - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/regex_labeler_from_scratch.nblink">View this notebook on GitHub</a></p>
+<section id="Building-a-Regex-Data-Labeler-w/-your-own-Regex">
+<h1>Building a Regex Data Labeler w/ your own Regex<a class="headerlink" href="#Building-a-Regex-Data-Labeler-w/-your-own-Regex" title="Permalink to this headline">¶</a></h1>
+<p>This notebook teaches how to use the existing / create your own regex labeler as well as utilize it for structured data profiling.</p>
+<ol class="arabic simple">
+<li><p>Loading and utilizing the pre-existing regex data labeler</p></li>
+<li><p>Replacing the existing regex rules with your own.</p></li>
+<li><p>Utilizng a regex data labeler inside of the structured profiler</p></li>
+</ol>
+<p>First, let’s import the libraries needed for this example.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+from pprint import pprint
+
+import pandas as pd
+
+try:
+    import dataprofiler as dp
+except ImportError:
+    sys.path.insert(0, '../..')
+    import dataprofiler as dp
+</pre></div>
+</div>
+</div>
+<section id="Loading-and-using-the-pre-existing-regex-data-labeler">
+<h2>Loading and using the pre-existing regex data labeler<a class="headerlink" href="#Loading-and-using-the-pre-existing-regex-data-labeler" title="Permalink to this headline">¶</a></h2>
+<p>We can easily import the exsting regex labeler via the <code class="docutils literal notranslate"><span class="pre">load_from_library</span></code> command from the <code class="docutils literal notranslate"><span class="pre">dp.DataLabeler</span></code>. This allows us to import models other than the default structured / unstructured labelers which exist in the library.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler = dp.DataLabeler.load_from_library('regex_model')
+data_labeler.model.help()
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pprint(data_labeler.label_mapping)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pprint(data_labeler.model._parameters['regex_patterns'])
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-regex-labeler">
+<h3>Predicting with the regex labeler<a class="headerlink" href="#Predicting-with-the-regex-labeler" title="Permalink to this headline">¶</a></h3>
+<p>In the prediction below, the default settings will <code class="docutils literal notranslate"><span class="pre">split</span></code> the predictions by default as it’s aggregation function. In other words, if a string ‘123 Fake St.’ The first character would receive a vote for integer and for address giving both a 50% probability. This is because these regex functions are defined individually and a post prediction aggregation function must be used to get the results.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># evaluate a prediction using the default parameters
+data_labeler.predict(['123 Fake St.'])
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Replacing-the-regex-rules-in-the-existing-labeler">
+<h2>Replacing the regex rules in the existing labeler<a class="headerlink" href="#Replacing-the-regex-rules-in-the-existing-labeler" title="Permalink to this headline">¶</a></h2>
+<p>We can achieve this by: 1. Setting the label mapping to the new labels 2. Setting the model parameters which include: <code class="docutils literal notranslate"><span class="pre">regex_patterns</span></code>, <code class="docutils literal notranslate"><span class="pre">default_label</span></code>, <code class="docutils literal notranslate"><span class="pre">ignore_case</span></code>, and <code class="docutils literal notranslate"><span class="pre">encapsulators</span></code></p>
+<p>where <code class="docutils literal notranslate"><span class="pre">regex_patterns</span></code> is a <code class="docutils literal notranslate"><span class="pre">dict</span></code> of lists or regex for each label, <code class="docutils literal notranslate"><span class="pre">default_label</span></code> is the expected default label for the regex, <code class="docutils literal notranslate"><span class="pre">ignore_case</span></code> tells the model to ignore case during its detection, and <code class="docutils literal notranslate"><span class="pre">encapsulators</span></code> are generic regex statements placed before (start) and after (end) each regex. Currently, this is used by the default model to capture labels that are within a cell rather than matching the entire cell. (e.g. ’ 123 ’ will still capture 123 as digits).</p>
+<p>Below, we created 4 labels where <code class="docutils literal notranslate"><span class="pre">other</span></code> is the <code class="docutils literal notranslate"><span class="pre">default_label</span></code>. Additionally, we set enabled case sensitivity such that upper and lower case letters would be detected separately.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.set_labels({'other': 0, 'digits':1, 'lowercase_char': 2, 'uppercase_chars': 3})
+data_labeler.model.set_params(
+    regex_patterns={
+        'digits': [r'[+-]?[0-9]+'],
+        'lowercase_char': [r'[a-z]+'],
+        'uppercase_chars': [r'[A-Z]+'],
+    },
+    default_label='other',
+    ignore_case=False,
+)
+data_labeler.label_mapping
+</pre></div>
+</div>
+</div>
+<section id="Predicting-with-the-new-regex-labels">
+<h3>Predicting with the new regex labels<a class="headerlink" href="#Predicting-with-the-new-regex-labels" title="Permalink to this headline">¶</a></h3>
+<p>Here we notice the otuput of the predictions gives us a prediction per character for each regex. Note how by default it is matching subtext due to the encapsulators. Where <code class="docutils literal notranslate"><span class="pre">123</span></code> were found to be digits, <code class="docutils literal notranslate"><span class="pre">FAKE</span></code> was foudn to be upper case, and the whitespaces and <code class="docutils literal notranslate"><span class="pre">St.</span></code> were other due no single regex being correct.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.predict(['123 FAKE St.'])
+</pre></div>
+</div>
+</div>
+<p>Below we turn off case-sensitivity and we see how the aggregation funciton splits the votes for characters between the <code class="docutils literal notranslate"><span class="pre">lowercase</span></code> and <code class="docutils literal notranslate"><span class="pre">uppercase</span></code> chars.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.model.set_params(ignore_case=True)
+data_labeler.predict(['123 FAKE St.'])
+</pre></div>
+</div>
+</div>
+<p>For the rest of this notebook, we will just use a single regex serach which will capture both upper and lower case chars.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.set_labels({'other': 0, 'digits':1, 'chars': 2})
+data_labeler.model.set_params(
+    regex_patterns={
+        'digits': [r'[=-]?[0-9]+'],
+        'chars': [r'[a-zA-Z]+'],
+    },
+    default_label='other',
+    ignore_case=False,
+)
+data_labeler.label_mapping
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.predict(['123 FAKE St.'])
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Adjusting-postprocessor-properties">
+<h3>Adjusting postprocessor properties<a class="headerlink" href="#Adjusting-postprocessor-properties" title="Permalink to this headline">¶</a></h3>
+<p>Below we can look at the possible postprocessor parameters to adjust the aggregation function to the desired output. The previous outputs by default used the <code class="docutils literal notranslate"><span class="pre">split</span></code> aggregation function, however, below we will show the <code class="docutils literal notranslate"><span class="pre">random</span></code> aggregation function which will randomly choose a label if multiple labels have a vote for a given character.</p>
+<p>data_labeler.postprocessor.help()</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.postprocessor.set_params(aggregation_func='random')
+data_labeler.predict(['123 FAKE St.'], predict_options=dict(show_confidences=True))
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Integrating-the-new-Regex-labeler-into-Structured-Profiling">
+<h2>Integrating the new Regex labeler into Structured Profiling<a class="headerlink" href="#Integrating-the-new-Regex-labeler-into-Structured-Profiling" title="Permalink to this headline">¶</a></h2>
+<p>While the labeler can be used alone, it is also possible to integrate the labeler into the StructuredProfiler with a slight change to its postprocessor. The StructuredProfiler requires a labeler which outputs othe confidence of each label for a given cell being processed. To convert the output of the <code class="docutils literal notranslate"><span class="pre">RegexPostProcessor</span></code> into said format, we will use the <code class="docutils literal notranslate"><span class="pre">StructRegexPostProcessor</span></code>. We can create the postprocessor and set the <code class="docutils literal notranslate"><span class="pre">data_labeler</span></code>’s postprocessor to this value.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>from dataprofiler.labelers.data_processing import StructRegexPostProcessor
+
+postprocesor = StructRegexPostProcessor()
+data_labeler.set_postprocessor(postprocesor)
+</pre></div>
+</div>
+</div>
+<p>Below we will see the output is now one vote per sample.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data_labeler.predict(['123 FAKE St.', '123', 'FAKE'], predict_options=dict(show_confidences=True))
+</pre></div>
+</div>
+</div>
+<section id="Setting-the-Structuredprofiler’s-DataLabeler">
+<h3>Setting the Structuredprofiler’s DataLabeler<a class="headerlink" href="#Setting-the-Structuredprofiler’s-DataLabeler" title="Permalink to this headline">¶</a></h3>
+<p>We can create a <code class="docutils literal notranslate"><span class="pre">ProfilerOption</span></code> and set the structured options to have the new data_labeler as its value. We then run the StructuredProfiler with the specified options.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># create and set the option for the regex data labeler to be used at profile time
+profile_options = dp.ProfilerOptions()
+profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})
+
+# profile the dataset using the suggested regex data labeler
+data = pd.DataFrame(
+    [['123 FAKE St.', 123, 'this'],
+     [123           ,  -9, 'IS'],
+     ['...'         , +80, 'A'],
+     ['123'         , 202, 'raNDom'],
+     ['test'        ,  -1, 'TEST']],
+    dtype=object)
+profiler = dp.Profiler(data, options=profile_options)
+</pre></div>
+</div>
+</div>
+<p>Below we see the first column is given 3 labels as it received multiple votes for said column. However, it was confident on the second and third column which is why it only specified <code class="docutils literal notranslate"><span class="pre">digits</span></code> and <code class="docutils literal notranslate"><span class="pre">chars</span></code> respectively.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>pprint(profiler.report(
+    dict(output_format='compact',
+         omit_keys=['data_stats.*.statistics',
+                    'data_stats.*.categorical',
+                    'data_stats.*.order',
+                    'global_stats'])))
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+<section id="Saving-the-Data-Labeler-for-future-use">
+<h2>Saving the Data Labeler for future use<a class="headerlink" href="#Saving-the-Data-Labeler-for-future-use" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>if not os.path.isdir('my_new_regex_labeler'):
+    os.mkdir('my_new_regex_labeler')
+data_labeler.save_to_disk('my_new_regex_labeler')
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Loading-the-saved-Data-Labeler">
+<h2>Loading the saved Data Labeler<a class="headerlink" href="#Loading-the-saved-Data-Labeler" title="Permalink to this headline">¶</a></h2>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>saved_labeler = dp.DataLabeler.load_from_disk('my_new_regex_labeler')
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># ensuring the parametesr are what we saved.
+print("label_mapping:")
+pprint(saved_labeler.label_mapping)
+print("\nmodel parameters:")
+pprint(saved_labeler.model._parameters)
+print()
+print("postprocessor: " + saved_labeler.postprocessor.__class__.__name__)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># predicting with the loaded labeler.
+saved_labeler.predict(['test', '123'])
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="column_name_labeler_example.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">ColumnName Labeler Tutorial</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="add_new_model_to_data_labeler.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Adding new model to the existing DataLabeler pipeline</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/regex_labeler_from_scratch.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Building a Regex Data Labeler w/ your own Regex</a><ul>
+<li><a class="reference internal" href="#Loading-and-using-the-pre-existing-regex-data-labeler">Loading and using the pre-existing regex data labeler</a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-regex-labeler">Predicting with the regex labeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Replacing-the-regex-rules-in-the-existing-labeler">Replacing the regex rules in the existing labeler</a><ul>
+<li><a class="reference internal" href="#Predicting-with-the-new-regex-labels">Predicting with the new regex labels</a></li>
+<li><a class="reference internal" href="#Adjusting-postprocessor-properties">Adjusting postprocessor properties</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Integrating-the-new-Regex-labeler-into-Structured-Profiling">Integrating the new Regex labeler into Structured Profiling</a><ul>
+<li><a class="reference internal" href="#Setting-the-Structuredprofiler’s-DataLabeler">Setting the Structuredprofiler’s DataLabeler</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#Saving-the-Data-Labeler-for-future-use">Saving the Data Labeler for future use</a></li>
+<li><a class="reference internal" href="#Loading-the-saved-Data-Labeler">Loading the saved Data Labeler</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/regex_labeler_from_scratch.ipynb b/docs/0.10.3/html/regex_labeler_from_scratch.ipynb
new file mode 100644
index 000000000..96aee213a
--- /dev/null
+++ b/docs/0.10.3/html/regex_labeler_from_scratch.ipynb
@@ -0,0 +1,444 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e04c382a-7c49-452b-b9bf-e448951c64fe",
+   "metadata": {},
+   "source": [
+    "# Building a Regex Data Labeler w/ your own Regex"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6fb3ecb9-bc51-4c18-93d5-7991bbee5165",
+   "metadata": {},
+   "source": [
+    "This notebook teaches how to use the existing / create your own regex labeler as well as utilize it for structured data profiling.\n",
+    "\n",
+    "1. Loading and utilizing the pre-existing regex data labeler\n",
+    "1. Replacing the existing regex rules with your own.\n",
+    "1. Utilizng a regex data labeler inside of the structured profiler\n",
+    "\n",
+    "First, let's import the libraries needed for this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a67c197b-d3ee-4896-a96f-cc3d043601d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "from pprint import pprint\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "try:\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    sys.path.insert(0, '../..')\n",
+    "    import dataprofiler as dp"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c71356f4-9020-4862-a1e1-816effbb5443",
+   "metadata": {},
+   "source": [
+    "## Loading and using the pre-existing regex data labeler\n",
+    "We can easily import the exsting regex labeler via the `load_from_library` command from the `dp.DataLabeler`. This allows us to import models other than the default structured / unstructured labelers which exist in the library."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "113d6655-4bca-4d8e-9e6f-b972e29d5684",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler = dp.DataLabeler.load_from_library('regex_model')\n",
+    "data_labeler.model.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b405887-2b92-44ca-b8d7-29c384f6dd9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.label_mapping)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11916a48-098c-4056-ac6c-b9542d85fa86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(data_labeler.model._parameters['regex_patterns'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da0e97ee-8d6d-4631-9b55-78ed904d5f41",
+   "metadata": {},
+   "source": [
+    "### Predicting with the regex labeler\n",
+    "In the prediction below, the default settings will `split` the predictions by default as it's aggregation function. In other words, if a string '123 Fake St.' The first character would receive a vote for integer and for address giving both a 50% probability. This is because these regex functions are defined individually and a post prediction aggregation function must be used to get the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe519e65-36a7-4f42-8314-5369de8635c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# evaluate a prediction using the default parameters\n",
+    "data_labeler.predict(['123 Fake St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b41d834d-e47b-45a6-8970-d2d2033e2ade",
+   "metadata": {},
+   "source": [
+    "## Replacing the regex rules in the existing labeler\n",
+    "\n",
+    "We can achieve this by:\n",
+    "1. Setting the label mapping to the new labels\n",
+    "2. Setting the model parameters which include: `regex_patterns`, `default_label`, `ignore_case`, and `encapsulators`\n",
+    "\n",
+    "where `regex_patterns` is a `dict` of lists or regex for each label, `default_label` is the expected default label for the regex, `ignore_case` tells the model to ignore case during its detection, and `encapsulators` are generic regex statements placed before (start) and after (end) each regex. Currently, this is used by the default model to capture labels that are within a cell rather than matching the entire cell. (e.g. ' 123 ' will still capture 123 as digits)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c6bb010a-406f-4fd8-abd0-3355a5ad0ded",
+   "metadata": {},
+   "source": [
+    "Below, we created 4 labels where `other` is the `default_label`. Additionally, we set enabled case sensitivity such that upper and lower case letters would be detected separately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f86584cf-a7af-4bae-bf44-d87caa68833a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'lowercase_char': 2, 'uppercase_chars': 3})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[+-]?[0-9]+'],\n",
+    "        'lowercase_char': [r'[a-z]+'],\n",
+    "        'uppercase_chars': [r'[A-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ece1c8c-18a5-46fc-b563-6458e6e71e53",
+   "metadata": {},
+   "source": [
+    "### Predicting with the new regex labels\n",
+    "\n",
+    "Here we notice the otuput of the predictions gives us a prediction per character for each regex. Note how by default it is matching subtext due to the encapsulators. Where `123` were found to be digits, `FAKE` was foudn to be upper case, and the whitespaces and `St.` were other due no single regex being correct."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92842e14-2ea6-4879-b58c-c52b607dc94c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2ce14e54-094f-41ff-9ce0-69acace6abc2",
+   "metadata": {},
+   "source": [
+    "Below we turn off case-sensitivity and we see how the aggregation funciton splits the votes for characters between the `lowercase` and `uppercase` chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f7b8ed9d-c912-4dc7-82c5-ba78a3affc1e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.model.set_params(ignore_case=True)\n",
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dc66515f-24e4-40f0-8592-b1ee4fba7077",
+   "metadata": {},
+   "source": [
+    "For the rest of this notebook, we will just use a single regex serach which will capture both upper and lower case chars."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e0c1b11-d111-4080-873f-40aff7cf7930",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.set_labels({'other': 0, 'digits':1, 'chars': 2})\n",
+    "data_labeler.model.set_params(\n",
+    "    regex_patterns={\n",
+    "        'digits': [r'[=-]?[0-9]+'],\n",
+    "        'chars': [r'[a-zA-Z]+'],\n",
+    "    },\n",
+    "    default_label='other',\n",
+    "    ignore_case=False,\n",
+    ")\n",
+    "data_labeler.label_mapping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "28e7b2ee-c661-4b31-b727-078f1393b5c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f60c8fd1-76e1-469f-9e5a-62d7529301b3",
+   "metadata": {},
+   "source": [
+    "### Adjusting postprocessor properties\n",
+    "\n",
+    "Below we can look at the possible postprocessor parameters to adjust the aggregation function to the desired output. The previous outputs by default used the `split` aggregation function, however, below we will show the `random` aggregation function which will randomly choose a label if multiple labels have a vote for a given character."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36afa82b-1ca5-49ad-9aa9-84c6de621f59",
+   "metadata": {},
+   "source": [
+    "data_labeler.postprocessor.help()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "66840940-47bf-433a-8ee8-977f26926e0b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.postprocessor.set_params(aggregation_func='random')\n",
+    "data_labeler.predict(['123 FAKE St.'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c32b74fc-5051-4d53-b02a-4d1e4a35958f",
+   "metadata": {},
+   "source": [
+    "## Integrating the new Regex labeler into Structured Profiling\n",
+    "\n",
+    "While the labeler can be used alone, it is also possible to integrate the labeler into the StructuredProfiler with a slight change to its postprocessor. The StructuredProfiler requires a labeler which outputs othe confidence of each label for a given cell being processed. To convert the output of the `RegexPostProcessor` into said format, we will use the `StructRegexPostProcessor`. We can create the postprocessor and set the `data_labeler`'s postprocessor to this value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2663f2d-29a2-41ed-88dd-8a213d303365",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataprofiler.labelers.data_processing import StructRegexPostProcessor\n",
+    "\n",
+    "postprocesor = StructRegexPostProcessor()\n",
+    "data_labeler.set_postprocessor(postprocesor)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f7352769-d636-42c6-9706-7d9cff520a72",
+   "metadata": {},
+   "source": [
+    "Below we will see the output is now one vote per sample."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "18814634-0fd0-4ce8-b0c3-9b9454701a43",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_labeler.predict(['123 FAKE St.', '123', 'FAKE'], predict_options=dict(show_confidences=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4aa4e36-7362-4966-b827-3f5a6f2dfa7c",
+   "metadata": {},
+   "source": [
+    "### Setting the Structuredprofiler's DataLabeler\n",
+    "\n",
+    "We can create a `ProfilerOption` and set the structured options to have the new data_labeler as its value. We then run the StructuredProfiler with the specified options."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f18cf7f-283e-4e54-b3f9-1312828c3029",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create and set the option for the regex data labeler to be used at profile time\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "profile_options.set({'structured_options.data_labeler.data_labeler_object': data_labeler})\n",
+    "\n",
+    "# profile the dataset using the suggested regex data labeler\n",
+    "data = pd.DataFrame(\n",
+    "    [['123 FAKE St.', 123, 'this'], \n",
+    "     [123           ,  -9, 'IS'], \n",
+    "     ['...'         , +80, 'A'], \n",
+    "     ['123'         , 202, 'raNDom'], \n",
+    "     ['test'        ,  -1, 'TEST']], \n",
+    "    dtype=object)\n",
+    "profiler = dp.Profiler(data, options=profile_options)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "663e49f7-358b-4b0f-99a4-1823908ef990",
+   "metadata": {},
+   "source": [
+    "Below we see the first column is given 3 labels as it received multiple votes for said column. However, it was confident on the second and third column which is why it only specified `digits` and `chars` respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f796d7f5-7e8a-447b-9cbb-d5b8180660a3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pprint(profiler.report(\n",
+    "    dict(output_format='compact', \n",
+    "         omit_keys=['data_stats.*.statistics', \n",
+    "                    'data_stats.*.categorical', \n",
+    "                    'data_stats.*.order', \n",
+    "                    'global_stats'])))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "261b903f-8f4c-403f-839b-ab8813f850e9",
+   "metadata": {},
+   "source": [
+    "## Saving the Data Labeler for future use"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6ffbaf2-9400-486a-ba83-5fc9ba9334d7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if not os.path.isdir('my_new_regex_labeler'):\n",
+    "    os.mkdir('my_new_regex_labeler')\n",
+    "data_labeler.save_to_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e40cb6-9d89-41c4-ae28-3dca498f8c68",
+   "metadata": {},
+   "source": [
+    "## Loading the saved Data Labeler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52615b25-70a6-4ebb-8a32-14aaf1e747d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "saved_labeler = dp.DataLabeler.load_from_disk('my_new_regex_labeler')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1ccc0b3-1dc2-4847-95c2-d6b8769b1590",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensuring the parametesr are what we saved.\n",
+    "print(\"label_mapping:\")\n",
+    "pprint(saved_labeler.label_mapping)\n",
+    "print(\"\\nmodel parameters:\")\n",
+    "pprint(saved_labeler.model._parameters)\n",
+    "print()\n",
+    "print(\"postprocessor: \" + saved_labeler.postprocessor.__class__.__name__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c827f2ae-4af6-4f3f-9651-9ee9ebea9fa0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# predicting with the loaded labeler.\n",
+    "saved_labeler.predict(['test', '123'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "606f9bbf-5955-4b7b-b0d1-390de5600f73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/0.10.3/html/search.html b/docs/0.10.3/html/search.html
new file mode 100644
index 000000000..7de5d8d62
--- /dev/null
+++ b/docs/0.10.3/html/search.html
@@ -0,0 +1,266 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="#" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/><title>Search - <div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></title><link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon no-toc" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="#">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul>
+<li class="toctree-l1 has-children"><a class="reference internal" href="examples.html">Examples</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="unstructured_profiler_example.html">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon no-toc" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<div id="fallback" class="admonition error">
+  <p class="admonition-title">Error</p>
+  <p>
+    Please activate JavaScript to enable the search functionality.
+  </p>
+</div>
+<script>document.getElementById('fallback').hidden = true;</script>
+
+<div id="search-results"></div>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          
+          
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer no-toc">
+      
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    
+<script src="_static/searchtools.js"></script>
+<script src="_static/language_data.js"></script>
+<script src="searchindex.js"></script></body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/searchindex.js b/docs/0.10.3/html/searchindex.js
new file mode 100644
index 000000000..e1fd48547
--- /dev/null
+++ b/docs/0.10.3/html/searchindex.js
@@ -0,0 +1 @@
+Search.setIndex({docnames:["API","add_new_model_to_data_labeler","column_name_labeler_example","data_labeling","data_reader","data_readers","dataprofiler","dataprofiler.data_readers","dataprofiler.data_readers.avro_data","dataprofiler.data_readers.base_data","dataprofiler.data_readers.csv_data","dataprofiler.data_readers.data","dataprofiler.data_readers.data_utils","dataprofiler.data_readers.filepath_or_buffer","dataprofiler.data_readers.graph_data","dataprofiler.data_readers.json_data","dataprofiler.data_readers.parquet_data","dataprofiler.data_readers.structured_mixins","dataprofiler.data_readers.text_data","dataprofiler.dp_logging","dataprofiler.labelers","dataprofiler.labelers.base_data_labeler","dataprofiler.labelers.base_model","dataprofiler.labelers.char_load_tf_model","dataprofiler.labelers.character_level_cnn_model","dataprofiler.labelers.classification_report_utils","dataprofiler.labelers.column_name_model","dataprofiler.labelers.data_labelers","dataprofiler.labelers.data_processing","dataprofiler.labelers.labeler_utils","dataprofiler.labelers.regex_model","dataprofiler.labelers.utils","dataprofiler.profilers","dataprofiler.profilers.base_column_profilers","dataprofiler.profilers.categorical_column_profile","dataprofiler.profilers.column_profile_compilers","dataprofiler.profilers.data_labeler_column_profile","dataprofiler.profilers.datetime_column_profile","dataprofiler.profilers.float_column_profile","dataprofiler.profilers.graph_profiler","dataprofiler.profilers.helpers","dataprofiler.profilers.helpers.report_helpers","dataprofiler.profilers.histogram_utils","dataprofiler.profilers.int_column_profile","dataprofiler.profilers.json_decoder","dataprofiler.profilers.json_encoder","dataprofiler.profilers.numerical_column_stats","dataprofiler.profilers.order_column_profile","dataprofiler.profilers.profile_builder","dataprofiler.profilers.profiler_options","dataprofiler.profilers.profiler_utils","dataprofiler.profilers.text_column_profile","dataprofiler.profilers.unstructured_labeler_profile","dataprofiler.profilers.unstructured_text_profile","dataprofiler.profilers.utils","dataprofiler.reports","dataprofiler.reports.graphs","dataprofiler.reports.utils","dataprofiler.rng_utils","dataprofiler.settings","dataprofiler.validators","dataprofiler.validators.base_validators","dataprofiler.version","examples","graph_data_demo","graphs","index","install","labeler","merge_profile_list","modules","overview","popmon_dp_loader_example","profiler","profiler_example","regex_labeler_from_scratch","unstructured_profiler_example"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.intersphinx":1,nbsphinx:3,sphinx:56},filenames:["API.rst","add_new_model_to_data_labeler.nblink","column_name_labeler_example.nblink","data_labeling.rst","data_reader.nblink","data_readers.rst","dataprofiler.rst","dataprofiler.data_readers.rst","dataprofiler.data_readers.avro_data.rst","dataprofiler.data_readers.base_data.rst","dataprofiler.data_readers.csv_data.rst","dataprofiler.data_readers.data.rst","dataprofiler.data_readers.data_utils.rst","dataprofiler.data_readers.filepath_or_buffer.rst","dataprofiler.data_readers.graph_data.rst","dataprofiler.data_readers.json_data.rst","dataprofiler.data_readers.parquet_data.rst","dataprofiler.data_readers.structured_mixins.rst","dataprofiler.data_readers.text_data.rst","dataprofiler.dp_logging.rst","dataprofiler.labelers.rst","dataprofiler.labelers.base_data_labeler.rst","dataprofiler.labelers.base_model.rst","dataprofiler.labelers.char_load_tf_model.rst","dataprofiler.labelers.character_level_cnn_model.rst","dataprofiler.labelers.classification_report_utils.rst","dataprofiler.labelers.column_name_model.rst","dataprofiler.labelers.data_labelers.rst","dataprofiler.labelers.data_processing.rst","dataprofiler.labelers.labeler_utils.rst","dataprofiler.labelers.regex_model.rst","dataprofiler.labelers.utils.rst","dataprofiler.profilers.rst","dataprofiler.profilers.base_column_profilers.rst","dataprofiler.profilers.categorical_column_profile.rst","dataprofiler.profilers.column_profile_compilers.rst","dataprofiler.profilers.data_labeler_column_profile.rst","dataprofiler.profilers.datetime_column_profile.rst","dataprofiler.profilers.float_column_profile.rst","dataprofiler.profilers.graph_profiler.rst","dataprofiler.profilers.helpers.rst","dataprofiler.profilers.helpers.report_helpers.rst","dataprofiler.profilers.histogram_utils.rst","dataprofiler.profilers.int_column_profile.rst","dataprofiler.profilers.json_decoder.rst","dataprofiler.profilers.json_encoder.rst","dataprofiler.profilers.numerical_column_stats.rst","dataprofiler.profilers.order_column_profile.rst","dataprofiler.profilers.profile_builder.rst","dataprofiler.profilers.profiler_options.rst","dataprofiler.profilers.profiler_utils.rst","dataprofiler.profilers.text_column_profile.rst","dataprofiler.profilers.unstructured_labeler_profile.rst","dataprofiler.profilers.unstructured_text_profile.rst","dataprofiler.profilers.utils.rst","dataprofiler.reports.rst","dataprofiler.reports.graphs.rst","dataprofiler.reports.utils.rst","dataprofiler.rng_utils.rst","dataprofiler.settings.rst","dataprofiler.validators.rst","dataprofiler.validators.base_validators.rst","dataprofiler.version.rst","examples.rst","graph_data_demo.nblink","graphs.rst","index.rst","install.rst","labeler.nblink","merge_profile_list.nblink","modules.rst","overview.nblink","popmon_dp_loader_example.nblink","profiler.rst","profiler_example.nblink","regex_labeler_from_scratch.nblink","unstructured_profiler_example.nblink"],objects:{"":{dataprofiler:[6,0,0,"-"]},"dataprofiler.data_readers":{avro_data:[8,0,0,"-"],base_data:[9,0,0,"-"],csv_data:[10,0,0,"-"],data:[11,0,0,"-"],data_utils:[12,0,0,"-"],filepath_or_buffer:[13,0,0,"-"],graph_data:[14,0,0,"-"],json_data:[15,0,0,"-"],parquet_data:[16,0,0,"-"],structured_mixins:[17,0,0,"-"],text_data:[18,0,0,"-"]},"dataprofiler.data_readers.avro_data":{AVROData:[8,1,1,""]},"dataprofiler.data_readers.avro_data.AVROData":{data:[8,2,1,""],data_and_metadata:[8,2,1,""],data_format:[8,2,1,""],data_type:[8,3,1,""],file_encoding:[8,2,1,""],get_batch_generator:[8,4,1,""],info:[8,3,1,""],is_match:[8,4,1,""],is_structured:[8,2,1,""],length:[8,2,1,""],metadata:[8,2,1,""],reload:[8,4,1,""],selected_keys:[8,2,1,""]},"dataprofiler.data_readers.base_data":{BaseData:[9,1,1,""]},"dataprofiler.data_readers.base_data.BaseData":{data:[9,2,1,""],data_format:[9,2,1,""],data_type:[9,3,1,""],file_encoding:[9,2,1,""],get_batch_generator:[9,4,1,""],info:[9,3,1,""],is_match:[9,4,1,""],is_structured:[9,2,1,""],length:[9,2,1,""],reload:[9,4,1,""]},"dataprofiler.data_readers.csv_data":{CSVData:[10,1,1,""]},"dataprofiler.data_readers.csv_data.CSVData":{data:[10,2,1,""],data_format:[10,2,1,""],data_type:[10,3,1,""],delimiter:[10,2,1,""],file_encoding:[10,2,1,""],get_batch_generator:[10,4,1,""],header:[10,2,1,""],info:[10,3,1,""],is_match:[10,4,1,""],is_structured:[10,2,1,""],length:[10,2,1,""],options:[10,3,1,""],quotechar:[10,2,1,""],reload:[10,4,1,""],sample_nrows:[10,2,1,""],selected_columns:[10,2,1,""]},"dataprofiler.data_readers.data":{Data:[11,1,1,""]},"dataprofiler.data_readers.data.Data":{data_classes:[11,3,1,""]},"dataprofiler.data_readers.data_utils":{convert_int_to_string:[12,5,1,""],data_generator:[12,5,1,""],detect_cell_type:[12,5,1,""],detect_file_encoding:[12,5,1,""],find_nth_loc:[12,5,1,""],generator_on_file:[12,5,1,""],get_delimiter_regex:[12,5,1,""],is_valid_url:[12,5,1,""],json_to_dataframe:[12,5,1,""],load_as_str_from_file:[12,5,1,""],read_csv_df:[12,5,1,""],read_json:[12,5,1,""],read_json_df:[12,5,1,""],read_parquet_df:[12,5,1,""],read_text_as_list_of_strs:[12,5,1,""],reservoir:[12,5,1,""],rsample:[12,5,1,""],unicode_to_str:[12,5,1,""],url_to_bytes:[12,5,1,""]},"dataprofiler.data_readers.filepath_or_buffer":{FileOrBufferHandler:[13,1,1,""],is_stream_buffer:[13,5,1,""]},"dataprofiler.data_readers.graph_data":{GraphData:[14,1,1,""]},"dataprofiler.data_readers.graph_data.GraphData":{check_integer:[14,4,1,""],csv_column_names:[14,4,1,""],data:[14,2,1,""],data_format:[14,2,1,""],data_type:[14,3,1,""],file_encoding:[14,2,1,""],get_batch_generator:[14,4,1,""],info:[14,3,1,""],is_match:[14,4,1,""],is_structured:[14,2,1,""],length:[14,2,1,""],options:[14,3,1,""],reload:[14,4,1,""]},"dataprofiler.data_readers.json_data":{JSONData:[15,1,1,""]},"dataprofiler.data_readers.json_data.JSONData":{data:[15,2,1,""],data_and_metadata:[15,2,1,""],data_format:[15,2,1,""],data_type:[15,3,1,""],file_encoding:[15,2,1,""],get_batch_generator:[15,4,1,""],info:[15,3,1,""],is_match:[15,4,1,""],is_structured:[15,2,1,""],length:[15,2,1,""],metadata:[15,2,1,""],options:[15,3,1,""],reload:[15,4,1,""],selected_keys:[15,2,1,""]},"dataprofiler.data_readers.parquet_data":{ParquetData:[16,1,1,""]},"dataprofiler.data_readers.parquet_data.ParquetData":{data:[16,2,1,""],data_format:[16,2,1,""],data_type:[16,3,1,""],file_encoding:[16,2,1,""],get_batch_generator:[16,4,1,""],info:[16,3,1,""],is_match:[16,4,1,""],is_structured:[16,2,1,""],length:[16,2,1,""],options:[16,3,1,""],reload:[16,4,1,""],selected_columns:[16,2,1,""]},"dataprofiler.data_readers.structured_mixins":{SpreadSheetDataMixin:[17,1,1,""]},"dataprofiler.data_readers.text_data":{TextData:[18,1,1,""]},"dataprofiler.data_readers.text_data.TextData":{data:[18,2,1,""],data_format:[18,2,1,""],data_type:[18,3,1,""],file_encoding:[18,2,1,""],get_batch_generator:[18,4,1,""],info:[18,3,1,""],is_match:[18,4,1,""],is_structured:[18,2,1,""],length:[18,2,1,""],options:[18,3,1,""],reload:[18,4,1,""],samples_per_line:[18,2,1,""],tokenize:[18,4,1,""]},"dataprofiler.dp_logging":{get_child_logger:[19,5,1,""],get_logger:[19,5,1,""],set_verbosity:[19,5,1,""]},"dataprofiler.labelers":{base_data_labeler:[21,0,0,"-"],base_model:[22,0,0,"-"],char_load_tf_model:[23,0,0,"-"],character_level_cnn_model:[24,0,0,"-"],classification_report_utils:[25,0,0,"-"],column_name_model:[26,0,0,"-"],data_labelers:[27,0,0,"-"],data_processing:[28,0,0,"-"],labeler_utils:[29,0,0,"-"],regex_model:[30,0,0,"-"],utils:[31,0,0,"-"]},"dataprofiler.labelers.base_data_labeler":{BaseDataLabeler:[21,1,1,""],TrainableDataLabeler:[21,1,1,""]},"dataprofiler.labelers.base_data_labeler.BaseDataLabeler":{add_label:[21,4,1,""],check_pipeline:[21,4,1,""],help:[21,4,1,""],label_mapping:[21,2,1,""],labels:[21,2,1,""],load_from_disk:[21,4,1,""],load_from_library:[21,4,1,""],load_with_components:[21,4,1,""],model:[21,2,1,""],postprocessor:[21,2,1,""],predict:[21,4,1,""],preprocessor:[21,2,1,""],reverse_label_mapping:[21,2,1,""],save_to_disk:[21,4,1,""],set_labels:[21,4,1,""],set_model:[21,4,1,""],set_params:[21,4,1,""],set_postprocessor:[21,4,1,""],set_preprocessor:[21,4,1,""]},"dataprofiler.labelers.base_data_labeler.TrainableDataLabeler":{add_label:[21,4,1,""],check_pipeline:[21,4,1,""],fit:[21,4,1,""],help:[21,4,1,""],label_mapping:[21,2,1,""],labels:[21,2,1,""],load_from_disk:[21,4,1,""],load_from_library:[21,4,1,""],load_with_components:[21,4,1,""],model:[21,2,1,""],postprocessor:[21,2,1,""],predict:[21,4,1,""],preprocessor:[21,2,1,""],reverse_label_mapping:[21,2,1,""],save_to_disk:[21,4,1,""],set_labels:[21,4,1,""],set_model:[21,4,1,""],set_params:[21,4,1,""],set_postprocessor:[21,4,1,""],set_preprocessor:[21,4,1,""]},"dataprofiler.labelers.base_model":{AutoSubRegistrationMeta:[22,1,1,""],BaseModel:[22,1,1,""],BaseTrainableModel:[22,1,1,""]},"dataprofiler.labelers.base_model.AutoSubRegistrationMeta":{mro:[22,4,1,""],register:[22,4,1,""]},"dataprofiler.labelers.base_model.BaseModel":{add_label:[22,4,1,""],get_class:[22,4,1,""],get_parameters:[22,4,1,""],help:[22,4,1,""],label_mapping:[22,2,1,""],labels:[22,2,1,""],load_from_disk:[22,4,1,""],num_labels:[22,2,1,""],predict:[22,4,1,""],requires_zero_mapping:[22,3,1,""],reset_weights:[22,4,1,""],reverse_label_mapping:[22,2,1,""],save_to_disk:[22,4,1,""],set_label_mapping:[22,4,1,""],set_params:[22,4,1,""]},"dataprofiler.labelers.base_model.BaseTrainableModel":{add_label:[22,4,1,""],fit:[22,4,1,""],get_class:[22,4,1,""],get_parameters:[22,4,1,""],help:[22,4,1,""],label_mapping:[22,2,1,""],labels:[22,2,1,""],load_from_disk:[22,4,1,""],num_labels:[22,2,1,""],predict:[22,4,1,""],requires_zero_mapping:[22,3,1,""],reset_weights:[22,4,1,""],reverse_label_mapping:[22,2,1,""],save_to_disk:[22,4,1,""],set_label_mapping:[22,4,1,""],set_params:[22,4,1,""]},"dataprofiler.labelers.char_load_tf_model":{CharLoadTFModel:[23,1,1,""]},"dataprofiler.labelers.char_load_tf_model.CharLoadTFModel":{add_label:[23,4,1,""],details:[23,4,1,""],fit:[23,4,1,""],get_class:[23,4,1,""],get_parameters:[23,4,1,""],help:[23,4,1,""],label_mapping:[23,2,1,""],labels:[23,2,1,""],load_from_disk:[23,4,1,""],num_labels:[23,2,1,""],predict:[23,4,1,""],requires_zero_mapping:[23,3,1,""],reset_weights:[23,4,1,""],reverse_label_mapping:[23,2,1,""],save_to_disk:[23,4,1,""],set_label_mapping:[23,4,1,""],set_params:[23,4,1,""]},"dataprofiler.labelers.character_level_cnn_model":{CharacterLevelCnnModel:[24,1,1,""],build_embd_dictionary:[24,5,1,""],create_glove_char:[24,5,1,""]},"dataprofiler.labelers.character_level_cnn_model.CharacterLevelCnnModel":{add_label:[24,4,1,""],details:[24,4,1,""],fit:[24,4,1,""],get_class:[24,4,1,""],get_parameters:[24,4,1,""],help:[24,4,1,""],label_mapping:[24,2,1,""],labels:[24,2,1,""],load_from_disk:[24,4,1,""],num_labels:[24,2,1,""],predict:[24,4,1,""],requires_zero_mapping:[24,3,1,""],reset_weights:[24,4,1,""],reverse_label_mapping:[24,2,1,""],save_to_disk:[24,4,1,""],set_label_mapping:[24,4,1,""],set_params:[24,4,1,""]},"dataprofiler.labelers.classification_report_utils":{classification_report:[25,5,1,""],convert_confusion_matrix_to_MCM:[25,5,1,""],precision_recall_fscore_support:[25,5,1,""]},"dataprofiler.labelers.column_name_model":{ColumnNameModel:[26,1,1,""]},"dataprofiler.labelers.column_name_model.ColumnNameModel":{add_label:[26,4,1,""],get_class:[26,4,1,""],get_parameters:[26,4,1,""],help:[26,4,1,""],label_mapping:[26,2,1,""],labels:[26,2,1,""],load_from_disk:[26,4,1,""],num_labels:[26,2,1,""],predict:[26,4,1,""],requires_zero_mapping:[26,3,1,""],reset_weights:[26,4,1,""],reverse_label_mapping:[26,2,1,""],save_to_disk:[26,4,1,""],set_label_mapping:[26,4,1,""],set_params:[26,4,1,""]},"dataprofiler.labelers.data_labelers":{DataLabeler:[27,1,1,""],StructuredDataLabeler:[27,1,1,""],UnstructuredDataLabeler:[27,1,1,""],train_structured_labeler:[27,5,1,""]},"dataprofiler.labelers.data_labelers.DataLabeler":{labeler_classes:[27,3,1,""],load_from_disk:[27,4,1,""],load_from_library:[27,4,1,""],load_with_components:[27,4,1,""]},"dataprofiler.labelers.data_labelers.StructuredDataLabeler":{add_label:[27,4,1,""],check_pipeline:[27,4,1,""],help:[27,4,1,""],label_mapping:[27,2,1,""],labels:[27,2,1,""],load_from_disk:[27,4,1,""],load_from_library:[27,4,1,""],load_with_components:[27,4,1,""],model:[27,2,1,""],postprocessor:[27,2,1,""],predict:[27,4,1,""],preprocessor:[27,2,1,""],reverse_label_mapping:[27,2,1,""],save_to_disk:[27,4,1,""],set_labels:[27,4,1,""],set_model:[27,4,1,""],set_params:[27,4,1,""],set_postprocessor:[27,4,1,""],set_preprocessor:[27,4,1,""]},"dataprofiler.labelers.data_labelers.UnstructuredDataLabeler":{add_label:[27,4,1,""],check_pipeline:[27,4,1,""],help:[27,4,1,""],label_mapping:[27,2,1,""],labels:[27,2,1,""],load_from_disk:[27,4,1,""],load_from_library:[27,4,1,""],load_with_components:[27,4,1,""],model:[27,2,1,""],postprocessor:[27,2,1,""],predict:[27,4,1,""],preprocessor:[27,2,1,""],reverse_label_mapping:[27,2,1,""],save_to_disk:[27,4,1,""],set_labels:[27,4,1,""],set_model:[27,4,1,""],set_params:[27,4,1,""],set_postprocessor:[27,4,1,""],set_preprocessor:[27,4,1,""]},"dataprofiler.labelers.data_processing":{AutoSubRegistrationMeta:[28,1,1,""],BaseDataPostprocessor:[28,1,1,""],BaseDataPreprocessor:[28,1,1,""],BaseDataProcessor:[28,1,1,""],CharEncodedPreprocessor:[28,1,1,""],CharPostprocessor:[28,1,1,""],CharPreprocessor:[28,1,1,""],ColumnNameModelPostprocessor:[28,1,1,""],DirectPassPreprocessor:[28,1,1,""],RegexPostProcessor:[28,1,1,""],StructCharPostprocessor:[28,1,1,""],StructCharPreprocessor:[28,1,1,""],StructRegexPostProcessor:[28,1,1,""]},"dataprofiler.labelers.data_processing.AutoSubRegistrationMeta":{mro:[28,4,1,""],register:[28,4,1,""]},"dataprofiler.labelers.data_processing.BaseDataPostprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.BaseDataPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.BaseDataProcessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.CharEncodedPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.CharPostprocessor":{convert_to_NER_format:[28,4,1,""],get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],match_sentence_lengths:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.CharPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.ColumnNameModelPostprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.DirectPassPreprocessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.RegexPostProcessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],priority_prediction:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""],split_prediction:[28,4,1,""]},"dataprofiler.labelers.data_processing.StructCharPostprocessor":{convert_to_structured_analysis:[28,4,1,""],get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],match_sentence_lengths:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.StructCharPreprocessor":{convert_to_unstructured_format:[28,4,1,""],get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.data_processing.StructRegexPostProcessor":{get_class:[28,4,1,""],get_parameters:[28,4,1,""],help:[28,4,1,""],load_from_disk:[28,4,1,""],load_from_library:[28,4,1,""],process:[28,4,1,""],processor_type:[28,3,1,""],save_to_disk:[28,4,1,""],set_params:[28,4,1,""]},"dataprofiler.labelers.labeler_utils":{F1Score:[29,1,1,""],FBetaScore:[29,1,1,""],evaluate_accuracy:[29,5,1,""],f1_report_dict_to_str:[29,5,1,""],get_tf_layer_index_from_name:[29,5,1,""],hide_tf_logger_warnings:[29,5,1,""],protected_register_keras_serializable:[29,5,1,""]},"dataprofiler.labelers.labeler_utils.F1Score":{activity_regularizer:[29,2,1,""],add_loss:[29,4,1,""],add_metric:[29,4,1,""],add_update:[29,4,1,""],add_variable:[29,4,1,""],add_weight:[29,4,1,""],build:[29,4,1,""],build_from_config:[29,4,1,""],call:[29,4,1,""],compute_dtype:[29,2,1,""],compute_mask:[29,4,1,""],compute_output_shape:[29,4,1,""],compute_output_signature:[29,4,1,""],count_params:[29,4,1,""],dtype:[29,2,1,""],dtype_policy:[29,2,1,""],dynamic:[29,2,1,""],finalize_state:[29,4,1,""],from_config:[29,4,1,""],get_build_config:[29,4,1,""],get_config:[29,4,1,""],get_input_at:[29,4,1,""],get_input_mask_at:[29,4,1,""],get_input_shape_at:[29,4,1,""],get_output_at:[29,4,1,""],get_output_mask_at:[29,4,1,""],get_output_shape_at:[29,4,1,""],get_weights:[29,4,1,""],inbound_nodes:[29,2,1,""],input:[29,2,1,""],input_mask:[29,2,1,""],input_shape:[29,2,1,""],input_spec:[29,2,1,""],load_own_variables:[29,4,1,""],losses:[29,2,1,""],merge_state:[29,4,1,""],metrics:[29,2,1,""],name:[29,2,1,""],name_scope:[29,2,1,""],non_trainable_variables:[29,2,1,""],non_trainable_weights:[29,2,1,""],outbound_nodes:[29,2,1,""],output:[29,2,1,""],output_mask:[29,2,1,""],output_shape:[29,2,1,""],reset_state:[29,4,1,""],reset_states:[29,4,1,""],result:[29,4,1,""],save_own_variables:[29,4,1,""],set_weights:[29,4,1,""],stateful:[29,2,1,""],submodules:[29,2,1,""],supports_masking:[29,2,1,""],trainable:[29,2,1,""],trainable_variables:[29,2,1,""],trainable_weights:[29,2,1,""],update_state:[29,4,1,""],updates:[29,2,1,""],variable_dtype:[29,2,1,""],variables:[29,2,1,""],weights:[29,2,1,""],with_name_scope:[29,4,1,""]},"dataprofiler.labelers.labeler_utils.FBetaScore":{activity_regularizer:[29,2,1,""],add_loss:[29,4,1,""],add_metric:[29,4,1,""],add_update:[29,4,1,""],add_variable:[29,4,1,""],add_weight:[29,4,1,""],build:[29,4,1,""],build_from_config:[29,4,1,""],call:[29,4,1,""],compute_dtype:[29,2,1,""],compute_mask:[29,4,1,""],compute_output_shape:[29,4,1,""],compute_output_signature:[29,4,1,""],count_params:[29,4,1,""],dtype:[29,2,1,""],dtype_policy:[29,2,1,""],dynamic:[29,2,1,""],finalize_state:[29,4,1,""],from_config:[29,4,1,""],get_build_config:[29,4,1,""],get_config:[29,4,1,""],get_input_at:[29,4,1,""],get_input_mask_at:[29,4,1,""],get_input_shape_at:[29,4,1,""],get_output_at:[29,4,1,""],get_output_mask_at:[29,4,1,""],get_output_shape_at:[29,4,1,""],get_weights:[29,4,1,""],inbound_nodes:[29,2,1,""],input:[29,2,1,""],input_mask:[29,2,1,""],input_shape:[29,2,1,""],input_spec:[29,2,1,""],load_own_variables:[29,4,1,""],losses:[29,2,1,""],merge_state:[29,4,1,""],metrics:[29,2,1,""],name:[29,2,1,""],name_scope:[29,2,1,""],non_trainable_variables:[29,2,1,""],non_trainable_weights:[29,2,1,""],outbound_nodes:[29,2,1,""],output:[29,2,1,""],output_mask:[29,2,1,""],output_shape:[29,2,1,""],reset_state:[29,4,1,""],reset_states:[29,4,1,""],result:[29,4,1,""],save_own_variables:[29,4,1,""],set_weights:[29,4,1,""],stateful:[29,2,1,""],submodules:[29,2,1,""],supports_masking:[29,2,1,""],trainable:[29,2,1,""],trainable_variables:[29,2,1,""],trainable_weights:[29,2,1,""],update_state:[29,4,1,""],updates:[29,2,1,""],variable_dtype:[29,2,1,""],variables:[29,2,1,""],weights:[29,2,1,""],with_name_scope:[29,4,1,""]},"dataprofiler.labelers.regex_model":{RegexModel:[30,1,1,""]},"dataprofiler.labelers.regex_model.RegexModel":{add_label:[30,4,1,""],get_class:[30,4,1,""],get_parameters:[30,4,1,""],help:[30,4,1,""],label_mapping:[30,2,1,""],labels:[30,2,1,""],load_from_disk:[30,4,1,""],num_labels:[30,2,1,""],predict:[30,4,1,""],requires_zero_mapping:[30,3,1,""],reset_weights:[30,4,1,""],reverse_label_mapping:[30,2,1,""],save_to_disk:[30,4,1,""],set_label_mapping:[30,4,1,""],set_params:[30,4,1,""]},"dataprofiler.labelers.utils":{require_module:[31,5,1,""],warn_missing_module:[31,5,1,""]},"dataprofiler.profilers":{base_column_profilers:[33,0,0,"-"],categorical_column_profile:[34,0,0,"-"],column_profile_compilers:[35,0,0,"-"],data_labeler_column_profile:[36,0,0,"-"],datetime_column_profile:[37,0,0,"-"],float_column_profile:[38,0,0,"-"],graph_profiler:[39,0,0,"-"],helpers:[40,0,0,"-"],histogram_utils:[42,0,0,"-"],int_column_profile:[43,0,0,"-"],json_decoder:[44,0,0,"-"],json_encoder:[45,0,0,"-"],numerical_column_stats:[46,0,0,"-"],order_column_profile:[47,0,0,"-"],profile_builder:[48,0,0,"-"],profiler_options:[49,0,0,"-"],profiler_utils:[50,0,0,"-"],text_column_profile:[51,0,0,"-"],unstructured_labeler_profile:[52,0,0,"-"],unstructured_text_profile:[53,0,0,"-"]},"dataprofiler.profilers.base_column_profilers":{BaseColumnPrimitiveTypeProfiler:[33,1,1,""],BaseColumnProfiler:[33,1,1,""]},"dataprofiler.profilers.base_column_profilers.BaseColumnPrimitiveTypeProfiler":{col_type:[33,3,1,""],diff:[33,4,1,""],load_from_dict:[33,4,1,""],metadata:[33,3,1,""],name:[33,3,1,""],profile:[33,2,1,""],report:[33,4,1,""],sample_size:[33,3,1,""],thread_safe:[33,3,1,""],times:[33,3,1,""],update:[33,4,1,""]},"dataprofiler.profilers.base_column_profilers.BaseColumnProfiler":{col_type:[33,3,1,""],diff:[33,4,1,""],load_from_dict:[33,4,1,""],profile:[33,2,1,""],report:[33,4,1,""],update:[33,4,1,""]},"dataprofiler.profilers.categorical_column_profile":{CategoricalColumn:[34,1,1,""]},"dataprofiler.profilers.categorical_column_profile.CategoricalColumn":{categorical_counts:[34,2,1,""],categories:[34,2,1,""],col_type:[34,3,1,""],diff:[34,4,1,""],gini_impurity:[34,2,1,""],is_match:[34,2,1,""],load_from_dict:[34,4,1,""],metadata:[34,3,1,""],name:[34,3,1,""],profile:[34,2,1,""],report:[34,4,1,""],sample_size:[34,3,1,""],thread_safe:[34,3,1,""],times:[34,3,1,""],type:[34,3,1,""],unalikeability:[34,2,1,""],unique_count:[34,2,1,""],unique_ratio:[34,2,1,""],update:[34,4,1,""]},"dataprofiler.profilers.column_profile_compilers":{BaseCompiler:[35,1,1,""],ColumnDataLabelerCompiler:[35,1,1,""],ColumnPrimitiveTypeProfileCompiler:[35,1,1,""],ColumnStatsProfileCompiler:[35,1,1,""],UnstructuredCompiler:[35,1,1,""]},"dataprofiler.profilers.column_profile_compilers.BaseCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.ColumnDataLabelerCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.ColumnPrimitiveTypeProfileCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],selected_data_type:[35,2,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.ColumnStatsProfileCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.column_profile_compilers.UnstructuredCompiler":{diff:[35,4,1,""],load_from_dict:[35,4,1,""],profile:[35,2,1,""],report:[35,4,1,""],update_profile:[35,4,1,""]},"dataprofiler.profilers.data_labeler_column_profile":{DataLabelerColumn:[36,1,1,""]},"dataprofiler.profilers.data_labeler_column_profile.DataLabelerColumn":{assert_equal_conditions:[36,4,1,""],avg_predictions:[36,2,1,""],col_type:[36,3,1,""],data_label:[36,2,1,""],diff:[36,4,1,""],label_representation:[36,2,1,""],load_from_dict:[36,4,1,""],metadata:[36,3,1,""],name:[36,3,1,""],possible_data_labels:[36,2,1,""],profile:[36,2,1,""],rank_distribution:[36,2,1,""],report:[36,4,1,""],reverse_label_mapping:[36,2,1,""],sample_size:[36,3,1,""],sum_predictions:[36,2,1,""],thread_safe:[36,3,1,""],times:[36,3,1,""],type:[36,3,1,""],update:[36,4,1,""]},"dataprofiler.profilers.datetime_column_profile":{DateTimeColumn:[37,1,1,""]},"dataprofiler.profilers.datetime_column_profile.DateTimeColumn":{col_type:[37,3,1,""],data_type_ratio:[37,2,1,""],diff:[37,4,1,""],load_from_dict:[37,4,1,""],match_count:[37,3,1,""],metadata:[37,3,1,""],name:[37,3,1,""],profile:[37,2,1,""],report:[37,4,1,""],sample_size:[37,3,1,""],thread_safe:[37,3,1,""],times:[37,3,1,""],type:[37,3,1,""],update:[37,4,1,""]},"dataprofiler.profilers.float_column_profile":{FloatColumn:[38,1,1,""]},"dataprofiler.profilers.float_column_profile.FloatColumn":{col_type:[38,3,1,""],data_type_ratio:[38,2,1,""],diff:[38,4,1,""],is_float:[38,4,1,""],is_int:[38,4,1,""],kurtosis:[38,2,1,""],load_from_dict:[38,4,1,""],match_count:[38,3,1,""],mean:[38,2,1,""],median:[38,2,1,""],median_abs_deviation:[38,2,1,""],metadata:[38,3,1,""],mode:[38,2,1,""],name:[38,3,1,""],np_type_to_type:[38,4,1,""],precision:[38,2,1,""],profile:[38,2,1,""],report:[38,4,1,""],sample_size:[38,3,1,""],skewness:[38,2,1,""],stddev:[38,2,1,""],thread_safe:[38,3,1,""],times:[38,3,1,""],type:[38,3,1,""],update:[38,4,1,""],variance:[38,2,1,""]},"dataprofiler.profilers.graph_profiler":{GraphProfiler:[39,1,1,""]},"dataprofiler.profilers.graph_profiler.GraphProfiler":{diff:[39,4,1,""],load:[39,4,1,""],profile:[39,2,1,""],report:[39,4,1,""],save:[39,4,1,""],times:[39,3,1,""],update:[39,4,1,""]},"dataprofiler.profilers.helpers":{calculate_quantiles:[40,5,1,""],report_helpers:[41,0,0,"-"]},"dataprofiler.profilers.helpers.report_helpers":{calculate_quantiles:[41,5,1,""],flat_dict:[41,5,1,""]},"dataprofiler.profilers.int_column_profile":{IntColumn:[43,1,1,""]},"dataprofiler.profilers.int_column_profile.IntColumn":{col_type:[43,3,1,""],data_type_ratio:[43,2,1,""],diff:[43,4,1,""],is_float:[43,4,1,""],is_int:[43,4,1,""],kurtosis:[43,2,1,""],load_from_dict:[43,4,1,""],match_count:[43,3,1,""],mean:[43,2,1,""],median:[43,2,1,""],median_abs_deviation:[43,2,1,""],metadata:[43,3,1,""],mode:[43,2,1,""],name:[43,3,1,""],np_type_to_type:[43,4,1,""],profile:[43,2,1,""],report:[43,4,1,""],sample_size:[43,3,1,""],skewness:[43,2,1,""],stddev:[43,2,1,""],thread_safe:[43,3,1,""],times:[43,3,1,""],type:[43,3,1,""],update:[43,4,1,""],variance:[43,2,1,""]},"dataprofiler.profilers.json_decoder":{get_column_profiler_class:[44,5,1,""],get_compiler_class:[44,5,1,""],get_option_class:[44,5,1,""],get_profiler_class:[44,5,1,""],get_structured_col_profiler_class:[44,5,1,""],load_column_profile:[44,5,1,""],load_compiler:[44,5,1,""],load_option:[44,5,1,""],load_profiler:[44,5,1,""],load_structured_col_profiler:[44,5,1,""]},"dataprofiler.profilers.json_encoder":{ProfileEncoder:[45,1,1,""]},"dataprofiler.profilers.json_encoder.ProfileEncoder":{"default":[45,4,1,""],encode:[45,4,1,""],item_separator:[45,3,1,""],iterencode:[45,4,1,""],key_separator:[45,3,1,""]},"dataprofiler.profilers.numerical_column_stats":{NumericStatsMixin:[46,1,1,""],abstractstaticmethod:[46,1,1,""]},"dataprofiler.profilers.numerical_column_stats.NumericStatsMixin":{col_type:[46,3,1,""],diff:[46,4,1,""],is_float:[46,4,1,""],is_int:[46,4,1,""],kurtosis:[46,2,1,""],load_from_dict:[46,4,1,""],mean:[46,2,1,""],median:[46,2,1,""],median_abs_deviation:[46,2,1,""],metadata:[46,3,1,""],mode:[46,2,1,""],name:[46,3,1,""],np_type_to_type:[46,4,1,""],profile:[46,4,1,""],report:[46,4,1,""],sample_size:[46,3,1,""],skewness:[46,2,1,""],stddev:[46,2,1,""],thread_safe:[46,3,1,""],times:[46,3,1,""],type:[46,3,1,""],update:[46,4,1,""],variance:[46,2,1,""]},"dataprofiler.profilers.order_column_profile":{Comparable:[47,1,1,""],OrderColumn:[47,1,1,""]},"dataprofiler.profilers.order_column_profile.OrderColumn":{col_type:[47,3,1,""],diff:[47,4,1,""],load_from_dict:[47,4,1,""],metadata:[47,3,1,""],name:[47,3,1,""],profile:[47,2,1,""],report:[47,4,1,""],sample_size:[47,3,1,""],thread_safe:[47,3,1,""],times:[47,3,1,""],type:[47,3,1,""],update:[47,4,1,""]},"dataprofiler.profilers.profile_builder":{BaseProfiler:[48,1,1,""],Profiler:[48,1,1,""],StructuredColProfiler:[48,1,1,""],StructuredProfiler:[48,1,1,""],UnstructuredProfiler:[48,1,1,""]},"dataprofiler.profilers.profile_builder.BaseProfiler":{diff:[48,4,1,""],load:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],save:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profile_builder.Profiler":{load:[48,4,1,""]},"dataprofiler.profilers.profile_builder.StructuredColProfiler":{clean_data_and_get_base_stats:[48,4,1,""],diff:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],update_column_profilers:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profile_builder.StructuredProfiler":{diff:[48,4,1,""],load:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],save:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profile_builder.UnstructuredProfiler":{diff:[48,4,1,""],load:[48,4,1,""],load_from_dict:[48,4,1,""],profile:[48,2,1,""],report:[48,4,1,""],save:[48,4,1,""],update_profile:[48,4,1,""]},"dataprofiler.profilers.profiler_options":{BaseInspectorOptions:[49,1,1,""],BaseOption:[49,1,1,""],BooleanOption:[49,1,1,""],CategoricalOptions:[49,1,1,""],CorrelationOptions:[49,1,1,""],DataLabelerOptions:[49,1,1,""],DateTimeOptions:[49,1,1,""],FloatOptions:[49,1,1,""],HistogramAndQuantilesOption:[49,1,1,""],HyperLogLogOptions:[49,1,1,""],IntOptions:[49,1,1,""],ModeOption:[49,1,1,""],NumericalOptions:[49,1,1,""],OrderOptions:[49,1,1,""],PrecisionOptions:[49,1,1,""],ProfilerOptions:[49,1,1,""],RowStatisticsOptions:[49,1,1,""],StructuredOptions:[49,1,1,""],TextOptions:[49,1,1,""],TextProfilerOptions:[49,1,1,""],UniqueCountOptions:[49,1,1,""],UnstructuredOptions:[49,1,1,""]},"dataprofiler.profilers.profiler_options.BaseInspectorOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.BaseOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.BooleanOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.CategoricalOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.CorrelationOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.DataLabelerOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.DateTimeOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.FloatOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.HistogramAndQuantilesOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.HyperLogLogOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.IntOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.ModeOption":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.NumericalOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.OrderOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.PrecisionOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.ProfilerOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.RowStatisticsOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.StructuredOptions":{enabled_profiles:[49,2,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.TextOptions":{is_numeric_stats_enabled:[49,2,1,""],is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.TextProfilerOptions":{is_prop_enabled:[49,4,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.UniqueCountOptions":{load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_options.UnstructuredOptions":{enabled_profiles:[49,2,1,""],load_from_dict:[49,4,1,""],properties:[49,2,1,""],set:[49,4,1,""],validate:[49,4,1,""]},"dataprofiler.profilers.profiler_utils":{KeyDict:[50,1,1,""],Subtractable:[50,1,1,""],add_nested_dictionaries:[50,5,1,""],auto_multiprocess_toggle:[50,5,1,""],biased_kurt:[50,5,1,""],biased_skew:[50,5,1,""],chunk:[50,5,1,""],find_diff_of_dates:[50,5,1,""],find_diff_of_dicts:[50,5,1,""],find_diff_of_dicts_with_diff_keys:[50,5,1,""],find_diff_of_lists_and_sets:[50,5,1,""],find_diff_of_matrices:[50,5,1,""],find_diff_of_numbers:[50,5,1,""],find_diff_of_strings_and_bools:[50,5,1,""],generate_pool:[50,5,1,""],get_memory_size:[50,5,1,""],merge:[50,5,1,""],merge_profile_list:[50,5,1,""],method_timeit:[50,5,1,""],overlap:[50,5,1,""],partition:[50,5,1,""],perform_chi_squared_test_for_homogeneity:[50,5,1,""],recursive_dict_update:[50,5,1,""],reload_labeler_from_options_or_get_new:[50,5,1,""],shuffle_in_chunks:[50,5,1,""],suggest_pool_size:[50,5,1,""],warn_on_profile:[50,5,1,""]},"dataprofiler.profilers.profiler_utils.KeyDict":{clear:[50,4,1,""],copy:[50,4,1,""],default_factory:[50,3,1,""],fromkeys:[50,4,1,""],get:[50,4,1,""],items:[50,4,1,""],keys:[50,4,1,""],pop:[50,4,1,""],popitem:[50,4,1,""],setdefault:[50,4,1,""],update:[50,4,1,""],values:[50,4,1,""]},"dataprofiler.profilers.text_column_profile":{TextColumn:[51,1,1,""]},"dataprofiler.profilers.text_column_profile.TextColumn":{bias_correction:[51,3,1,""],col_type:[51,3,1,""],data_type_ratio:[51,2,1,""],diff:[51,4,1,""],histogram_bin_method_names:[51,3,1,""],histogram_methods:[51,3,1,""],histogram_selection:[51,3,1,""],is_float:[51,4,1,""],is_int:[51,4,1,""],kurtosis:[51,2,1,""],load_from_dict:[51,4,1,""],match_count:[51,3,1,""],max:[51,3,1,""],max_histogram_bin:[51,3,1,""],mean:[51,2,1,""],median:[51,2,1,""],median_abs_deviation:[51,2,1,""],metadata:[51,3,1,""],min:[51,3,1,""],min_histogram_bin:[51,3,1,""],mode:[51,2,1,""],name:[51,3,1,""],np_type_to_type:[51,4,1,""],num_negatives:[51,3,1,""],num_zeros:[51,3,1,""],profile:[51,2,1,""],quantiles:[51,3,1,""],report:[51,4,1,""],sample_size:[51,3,1,""],skewness:[51,2,1,""],stddev:[51,2,1,""],sum:[51,3,1,""],thread_safe:[51,3,1,""],times:[51,3,1,""],type:[51,3,1,""],update:[51,4,1,""],user_set_histogram_bin:[51,3,1,""],variance:[51,2,1,""]},"dataprofiler.profilers.unstructured_labeler_profile":{UnstructuredLabelerProfile:[52,1,1,""]},"dataprofiler.profilers.unstructured_labeler_profile.UnstructuredLabelerProfile":{diff:[52,4,1,""],label_encoding:[52,2,1,""],profile:[52,2,1,""],report:[52,4,1,""],type:[52,3,1,""],update:[52,4,1,""]},"dataprofiler.profilers.unstructured_text_profile":{TextProfiler:[53,1,1,""]},"dataprofiler.profilers.unstructured_text_profile.TextProfiler":{diff:[53,4,1,""],profile:[53,2,1,""],report:[53,4,1,""],type:[53,3,1,""],update:[53,4,1,""]},"dataprofiler.reports":{graphs:[56,0,0,"-"],utils:[57,0,0,"-"]},"dataprofiler.reports.utils":{require_module:[57,5,1,""],warn_missing_module:[57,5,1,""]},"dataprofiler.rng_utils":{get_random_number_generator:[58,5,1,""]},"dataprofiler.validators":{base_validators:[61,0,0,"-"]},"dataprofiler.validators.base_validators":{Validator:[61,1,1,""],is_in_list:[61,5,1,""],is_in_range:[61,5,1,""]},"dataprofiler.validators.base_validators.Validator":{get:[61,4,1,""],validate:[61,4,1,""]},dataprofiler:{data_readers:[7,0,0,"-"],dp_logging:[19,0,0,"-"],labelers:[20,0,0,"-"],profilers:[32,0,0,"-"],reports:[55,0,0,"-"],rng_utils:[58,0,0,"-"],set_seed:[6,5,1,""],settings:[59,0,0,"-"],validators:[60,0,0,"-"],version:[62,0,0,"-"]}},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","property","Python property"],"3":["py","attribute","Python attribute"],"4":["py","method","Python method"],"5":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:property","3":"py:attribute","4":"py:method","5":"py:function"},terms:{"0":[1,2,3,4,5,12,13,14,21,25,28,29,34,38,43,45,46,48,49,51,64,65,66,67,68,69,71,72,73,74,75,76],"00":[12,29,38,43,46,51],"000":[66,73,74],"000043219499392912":3,"01":[49,50,73],"02":72,"05":4,"07":[4,68,72],"0700":68,"0f":68,"0m":4,"0s":1,"1":[1,2,4,5,12,14,21,25,28,29,34,36,38,43,46,49,51,61,65,66,68,69,71,73,74,75],"10":[3,4,12,29,65,66,68,72,73],"100":[2,68,74],"1000":[10,15,49,71,73,74],"10000":[66,73],"1024":12,"108":4,"11":[4,66,68],"11111111":68,"1111111111111":68,"116":4,"12":29,"123":[68,75],"1234":3,"127":1,"13":[4,68],"15":[4,49,71],"16":[68,74],"177":4,"18":[3,66],"180":4,"1w":72,"2":[1,2,3,4,21,25,27,29,34,35,48,49,50,61,65,66,68,69,71,73,74,75],"20":[12,29,50,73],"200":5,"2004":25,"2005":[34,68],"2014":4,"2015":72,"2018":50,"2019":29,"202":75,"2020":65,"2021":65,"21":4,"22":25,"225":4,"23":4,"27":34,"289":4,"29":4,"2x2":25,"3":[2,3,4,25,29,61,65,66,68,69,71,72,73,74,75],"30":[25,29],"301":3,"31":[4,68],"31m":4,"32":[1,21,23,24,27,28],"326":4,"327":4,"33":29,"334":4,"335":4,"34":4,"3400":[1,28],"35":4,"37":68,"3f":68,"3x":76,"4":[0,2,4,29,65,66,68,69,71,73,74,75,76],"40":29,"429":4,"43":4,"4448069":4,"454":4,"456":68,"458":4,"5":[4,25,49,50,65,66,73],"50":[2,29,75],"5000":[28,48,49],"55":4,"56":4,"57":29,"58":[4,34],"59":4,"6":[64,66,74],"60":[15,29,34],"61":4,"62":4,"63":4,"63359209":4,"64":1,"65":4,"65064207":4,"65536":12,"67":[25,29],"7":[4,64,66,68,72],"75":[4,28,29],"750":73,"750000":50,"76715529":4,"7890":68,"79":4,"79556889":4,"7bit":68,"8":[4,12,14,66,73,74],"80":[4,29,38,43,46,51,75],"81":4,"83":4,"84":4,"85":[2,71],"89":4,"9":[4,66,72,75],"92m":4,"95":[4,49,73],"97":3,"98":4,"9959787":4,"\u03c3":34,"abstract":[3,9,21,22,28,33,34,35,36,37,46,47,48],"boolean":[1,2,5,12,13,29,33,34,35,36,37,43,47,49,52,73],"break":1,"byte":12,"case":[1,4,25,28,29,47,49,50,51,66,72,73,75],"char":[6,12,20,22,24,26,28,30,66,74,75,76],"class":[1,3,4,5,8,9,10,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,44,45,46,47,48,49,50,51,52,53,61,63,64,66,68,73,74,76],"default":[1,2,3,4,5,10,25,26,28,29,44,45,48,49,50,64,66,67,68,72,73,75],"do":[29,31,49,57,65,72],"final":[1,2,24,29,72],"float":[1,3,6,12,21,22,23,24,25,28,29,32,34,36,37,39,43,45,46,47,48,49,50,51,61,64,65,66,68,73,74,76],"function":[1,3,4,12,13,17,21,25,26,28,29,31,38,39,40,41,42,43,45,46,49,50,51,56,57,64,65,68,69,71,72,73,74,75,76],"import":[1,2,3,4,5,45,63,64,66,68,71,72,73,74,75,76],"int":[1,5,6,8,9,10,12,13,14,15,16,18,19,21,22,23,24,25,26,27,28,29,30,32,33,34,36,37,38,40,41,45,46,47,48,49,50,51,61,65,66,68,71,73,74,76],"long":1,"new":[8,9,10,14,15,16,18,21,22,23,24,26,27,30,34,50,63,64,66,68,69,73,74,76],"null":[46,48,49,66,71,72,73,74,76],"return":[1,2,4,5,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,57,61,66,68,72,73,74,76],"short":1,"static":[28,36,38,43,46,48,51],"super":[29,72],"switch":[68,72],"true":[1,2,3,4,5,9,12,13,18,21,22,23,24,25,26,27,28,29,30,34,38,43,45,46,49,50,51,64,66,68,72,73,75,76],"try":[2,4,29,64,68,69,71,72,74,75,76],"var":[66,74],"while":[1,3,4,25,71,75],A:[5,25,26,28,29,30,42,49,63,66,71,73,74,75],AS:29,And:69,As:[2,4,29,42,68,71,74,76],At:15,By:[3,4,25,29,68,73],For:[2,3,4,5,22,23,25,28,29,34,35,38,43,45,46,48,49,50,51,53,61,64,67,68,71,73,74,75,76],IS:[29,75],If:[12,25,29,31,36,45,49,50,57,64,65,66,67,72,73],In:[1,2,3,4,12,25,28,29,50,66,68,71,73,74,75,76],Is:4,It:[3,5,29,45,64,66,68,74,76],NOT:29,No:[34,61,73],Not:[74,76],OF:29,OR:[12,29],One:[71,73,74,76],Or:[6,7],Such:[74,76],The:[0,1,2,3,4,5,12,20,25,29,45,48,49,50,61,64,65,66,67,68,71,72,73,74,75,76],There:[4,66,68,73],These:[4,29,63,65,76],To:[3,45,66,67,68,71,72,74,75,76],Will:[3,49],With:[65,73,74,76],_:[29,41],__calcul:[39,46],__call__:29,__class__:[2,75],__init__:[1,3,29],__missing__:50,__name__:[2,44,75],_argmax_threshold_lay:1,_char_encoding_lay:1,_construct_model:[1,3],_epoch_id:1,_gener:58,_io:[8,11,12,13,15,16],_model:1,_model_default_ind:1,_model_num_label:1,_need_to_reconstruct_model:3,_one_shot:45,_paramet:[1,2,75],_postprocessor:1,_preprocessor:1,_pull:72,_reconstruct_model:3,_save_processor:3,_validate_paramet:[1,3],a_natural_but_biased_estim:50,a_out:29,ab:29,abc:[4,22,28,68],abcmeta:[22,28],abil:[4,66,71,74,76],abl:[3,21,29,64,68],about:[3,4,66,68,74,76],abov:[1,5,29,64,66,67,68,73],absolut:[38,43,46,51,73],abstractstaticmethod:46,acc:1,accept:[1,3,14,29,73],access:[5,19,29,63,66,73],accomplish:[74,76],accord:73,account:[3,25,50,66],accur:74,accuraci:[25,29,68],achiev:[2,75],across:[28,29,61,73],activ:[1,4,29,67,73],activity_regular:29,actual:72,ad:[12,21,22,23,24,26,27,29,30,48,63,74,76],adam:1,adapt:[1,29],add:[1,3,17,21,22,23,24,26,27,29,30,50,66,68,74,76],add_label:[3,21,22,23,24,26,27,30,68],add_loss:29,add_metr:29,add_nested_dictionari:50,add_true_false_color:4,add_upd:29,add_vari:29,add_weight:29,addit:[1,4,12,29,66,68,71,73,74,76],addition:[4,5,48,65,71,75],addon:29,address:[2,3,66,68,75],adjust:[63,73],advanc:25,aforement:71,after:[29,63,64,71,75],again:[2,29,64,68],against:29,aggreg:[28,29,75],aggregation_func:[28,75],agre:29,ahead:72,algorithm:4,alia:29,all:[1,4,8,9,10,12,14,15,16,18,22,23,24,25,26,28,29,30,36,45,48,49,50,51,65,67,68,69,71,72,73,74],all_fil:[4,71],alloc:50,allow:[3,4,19,21,22,27,28,29,48,50,68,71,72,73,74,75,76],allow_nan:45,alon:75,along:[46,48,61,66,73],alreadi:[1,29,67],also:[1,3,4,5,8,10,14,15,16,18,25,29,49,61,64,65,66,68,71,73,74,75,76],alter:[19,21,22,23,24,25,26,27,28,30,63,73],altern:[49,73,74,76],although:[29,49,73],alwai:[13,51],amount:73,an:[1,4,8,9,10,12,14,15,16,17,18,22,25,28,29,30,34,38,43,45,46,47,50,51,61,64,66,68,69,71,72,73,74,76],analysi:[28,38,43,47,51,52,66,73],analyz:[74,76],ani:[2,3,4,5,8,9,10,11,12,13,14,16,17,22,23,24,26,28,29,30,33,34,35,36,37,38,43,46,47,48,49,50,51,65,66,67,68,71,72,73,74,76],annot:50,anoth:[29,34,64,66,68,73,74,76],anyth:28,apach:29,api:[29,66],appear:73,append:[1,68,74,76],appli:[26,28,29,30,48,52,73,74,76],applic:[25,29,49,66,71,74,76],approach:72,appropri:[22,23,24,26,30,36,37,47,49,68,74,76],approxim:[28,73],apt:67,ar:[1,2,3,4,5,10,12,18,22,23,24,25,26,28,29,30,34,45,48,49,50,65,66,67,68,71,72,73,74,75,76],architectur:[1,3],aren:29,arg:[12,28,29,47,49,50],argmax:[1,28,29],argmax_lay:1,argmax_output:1,argument:[13,21,27,29,50],around:[38,43,46,51],arrai:[3,25,29,45,50,66],ascend:73,ascii:[45,68],ascii_num:1,aspect:[74,76],assert_equal_condit:36,assign:50,assist:3,associ:[21,27,29,30],assum:[28,29,35,50,69,71],astyp:[1,68],attempt:[29,45,73],attr1:44,attr2:44,attr:[22,28,35,49],attribut:[2,14,29,33,34,35,36,37,38,39,43,46,47,48,49,50,51,53,63,64,73],attribute_1:66,attribute_2:66,attribute_n:73,attributeerror:[4,29],attributt:[66,73],aug:68,august:68,author:[4,29,71,74],auto:[4,5,11,22,49,66,73],auto_multiprocess_toggl:50,autom:50,automat:[29,63,64,66,73],automaticali:4,autosubregistr:28,autosubregistrationmeta:[22,28],avail:[2,5,42,45,65,73,74],averag:[1,25,29,36,64,73],avg:29,avg_node_degre:[64,66,73],avg_predict:[36,66,73,74],avro:[4,5,6,7,16,66,67,71,73,74,76],avro_data:[8,11,71],avro_fil:[4,71],avrodata:[4,8,11,71],aw:[1,68],aws_honeypot_marx_geo:[1,4,71,72,74],ax:[65,74],b:[29,30,50,65],b_out:29,back:29,backend:1,background:[2,28,30],backward:29,ban:[3,66],bank:[3,66],bar:45,barchart:65,bargraph:65,base:[3,5,6,7,8,10,11,13,14,15,16,17,18,20,23,24,26,27,28,29,30,32,34,35,36,37,38,39,43,45,46,47,48,49,50,51,52,53,60,71,73,74],base_column_profil:[33,34,36,37,38,43,46,47,51],base_data:[8,9,10,14,15,16,18,48],base_data_label:[21,27],base_metr:29,base_model:[1,3,21,22,23,24,26,27,30],base_valid:61,basecolumnprimitivetypeprofil:[33,37,38,43,51],basecolumnprimitivetypeprofilert:33,basecolumnprofil:[33,34,36,37,44,45,46,47,51],basecolumnprofilert:[33,46],basecompil:[35,44,48],basecompilert:35,basedata:[8,9,10,14,15,16,18,48],basedatalabel:[20,21,27,49,50,73],basedatapostprocessor:[3,21,27,28],basedatapreprocessor:[3,21,27,28],basedataprocessor:28,baseinspectoropt:49,baseinspectoroptionst:49,basemodel:[1,3,21,22,23,24,26,27,30,68],baseopt:[33,44,48,49],baseoptiont:49,baseprocessor:68,baseprofil:[44,48,50],baseprofilert:48,basetrainablemodel:[22,23,24],basi:[29,45],basic:[3,68,69],batch:[8,9,10,14,15,16,18,21,22,23,24,27,28,66,71,73],batch_1:73,batch_2:73,batch_data:28,batch_siz:[8,9,10,14,15,16,18,21,22,23,24,26,27,28,30],batchnorm:29,baz:45,bc:4,bcc:68,bdist:67,bdist_wheel:67,becaus:[4,25,29,49,50,75],becom:[28,29,50],been:[4,29,44],befor:[3,29,49,73,75],behavior:[29,45],behind:2,being:[2,4,5,8,9,10,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,30,36,39,48,49,73,75],belong:3,below:[2,4,5,25,28,29,42,49,64,65,66,68,71,72,73,74,75,76],besid:[68,71],best:[4,5,36,66],beta:[25,29],better:68,between:[2,3,4,25,27,28,29,35,36,37,39,47,48,49,50,52,53,64,68,72,73,74,75,76],beyond:[74,76],bfloat16:29,bia:[29,49,73],bias:50,bias_correct:[49,51,73],biased_kurt:50,biased_skew:50,big:68,bigobject:45,bin:[38,43,46,49,51,64,67,71,73],bin_count:[64,66,73,74],bin_count_or_method:[49,71,73],bin_edg:[64,66,73,74],binari:25,bit:2,blob:[29,42],block:72,blog:4,blogpost:4,bool:[8,9,10,12,14,15,16,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,48,49,50,51,52,53,61,66,73,74],booleanopt:49,booleanoptiont:49,both:[4,12,29,47,49,63,68,73,74,75,76],bound:50,brand:2,breadth:29,breakdown:73,breviti:68,brew:67,broken:71,bucket:[49,73],buffer:[6,7,12],buffer_s:12,bufferediobas:13,bug:66,build:[1,12,25,29,46,48,61,63],build_embd_dictionari:[1,24],build_from_config:29,builder:[6,32],built:[1,20,28,29],builtin:3,byte_s:12,bytesio:[8,11,12,13,16],c:[29,65],cach:29,calcul:[3,25,29,34,37,38,39,40,41,43,46,48,49,50,51,66,73,74,76],calculate_quantil:[40,41],call:[3,5,12,25,29,44,45,46,49,50,71,74],callabl:[29,31,46,50,57],came:29,can:[1,2,3,4,5,8,9,10,15,16,17,18,21,25,29,45,48,50,51,64,65,66,67,68,71,72,73,74,75,76],candid:29,cannot:[3,12,29,65],capabl:[4,29],capitalon:[4,67],captur:75,carat:4,cast:29,categor:[6,32,49,64,66,73,74,75],categori:[1,34,49,50,66,68,71,73,74],categorical_attribut:[64,66,73],categorical_column_profil:34,categorical_count:[34,66,73],categorical_crossentropi:1,categorical_distribut:[64,66,73],categorical_statu:4,categoricalcolumn:[34,35,47],categoricalopt:[34,49],categories1:50,categories2:50,caus:[29,45,49],cc:68,cdist:26,cdot:29,cell:[3,12,64,66,68,75],certain:29,chang:[3,4,29,35,38,43,46,48,51,72,73,74,75,76],char_in_vector:1,char_load_tf_model:23,charact:[3,4,6,10,12,14,20,28,30,41,45,48,49,63,66,68,71,73,75],character_argmax:28,character_level_cnn_model:[1,3,24,68],characterlevelcnnmodel:[1,3,20,24,28,68],characterlevellstmmodel:1,charencodedpreprocessor:28,charloadtfmodel:23,charpostprocessor:28,charpreprocessor:[20,28],charset:68,check:[1,2,3,8,10,12,14,16,21,27,29,31,34,38,43,45,46,49,51,57,61,63,68,69,71,73],check_circular:45,check_integ:14,check_pipelin:[3,21,27,68],chi2:73,chi2_homogen:[49,68,73],chi2_matrix:[66,73],chi:[50,73],child:19,choic:[4,5,8,10,15,16,18],choos:[4,27,28,72,73,75],chose:28,chosen:[73,76],chr:1,chunk:[5,12,18,45,50],chunk_siz:50,chunk_size_byt:12,cij:34,circular:45,clariti:4,class_mean:[66,73],class_nam:[22,23,24,26,28,30,44],class_prior:[66,73],class_sum:[66,73],classif:[6,20,29,34],classifi:3,classification_report:[25,29],classification_report_util:25,classmethod:[8,9,10,14,15,16,18,21,22,23,24,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,48,49,51],clean_data_and_get_base_stat:48,clean_sampled_df:48,clear:50,clear_sess:1,close:2,clsname:[22,28],cm:[49,73],cms_confid:[49,73],cms_max_num_heavy_hitt:[49,73],cms_relative_error:[49,73],cn:68,cnn:[1,6,20],code:[4,25,29,42,46,50,66,68,71,72],coeffici:73,col1:69,col2:69,col:[14,33,36,37,38,43,46,47,48,50,51,60,61,68,72,74],col_float:[71,74],col_int:[71,74],col_pro_compil:44,col_profil:50,col_report:1,col_typ:[33,34,36,37,38,43,46,47,51],collaps:41,collect:[29,48,50,71,74,76],color:4,column:[1,3,5,6,10,12,14,16,20,25,28,32,44,48,49,50,52,53,61,63,65,66,68,71,72,73,74,75,76],column_count:[66,71,73,74],column_ind:65,column_index:48,column_nam:[1,14,61,65,66,68,73,74],column_name_label:2,column_name_model:[2,26],column_null_valu:49,column_profile_compil:[35,48],columnar:1,columndatalabelercompil:35,columnnam:63,columnnamemodel:[2,26],columnnamemodelpostprocessor:[2,28],columnprimitivetypeprofilecompil:35,columns_nam:65,columnstatsprofilecompil:35,com:[4,5,29,42,50,67,68],combin:[1,4,10,29,50,71],come:[29,66,71],command:[2,5,66,72,74,75,76],comment:1,common:[4,49],commonli:[4,74,76],compact:[45,48,64,66,71,73,74,75,76],compani:68,compar:[29,45,47,64,72,73],compare_neg:2,compare_posit:2,comparison:63,compat:[3,8,9,10,14,15,16,18,29,66,68,69,74,76],compen:68,compil:[1,6,32,44],complet:[49,73],complex:3,complex_nest:[4,71],complianc:29,compliant:[29,45],compon:[0,1,21,24,25,27,44,64,68,71,72,73,74,76],compos:29,compris:[68,73],comput:[25,29,71],compute_dtyp:29,compute_mask:29,compute_output_shap:29,compute_output_signatur:29,concaten:41,conclus:63,condit:[29,49,73],conduct:[4,28],conf:[3,28,68],conf_matrix:25,confid:[1,2,3,22,23,24,26,28,30,49,68,73,75],confidence_level:[66,74],config:[29,33,34,35,36,37,38,43,44,46,47,48,49,50,51,61],configur:[29,49,59,61,73],conflict:49,confus:[25,29],confusion_matrix:25,confusion_matrix_fil:29,connect:[1,21,27,29],consecut:12,conserv:73,consid:[1,12,29,30,49,51,73],consist:45,constant_initi:29,constraint:73,construct:[1,3,29,44,49],constructor:[1,29,45],contain:[1,3,4,5,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,31,33,34,36,37,41,42,44,45,47,49,50,56,57,62,65,66,68,71,73,74,76],content:[45,68],context:13,continu:[3,64,73],continuous_attribut:[64,66,73],continuous_distribut:[64,66,73],continuous_weight:4,contract_numb:2,contrast:73,control:29,conv2d:29,convent:4,convert:[3,4,12,22,25,26,28,29,30,38,43,46,51,68,72,75],convert_confusion_matrix_to_mcm:25,convert_int_to_str:12,convert_to_ner_format:28,convert_to_structured_analysi:28,convert_to_tensor:29,convert_to_unstructured_format:28,convolut:1,copi:[25,29,42,49,50],copyfileobj:72,copyright:29,core:[8,9,10,12,14,15,16,18,22,23,24,26,30,33,34,35,36,37,38,43,46,47,48,50,51,52,53],correct:[73,75],correctli:4,correl:[49,66,73],correlation_matrix:[66,73],correlationopt:49,correspond:[25,28,29,50,71],cost:[50,68],could:[28,29,36,64,74,76],count:[25,29,34,38,43,46,49,50,51,52,64,73,76],count_param:29,coupl:73,cover:[71,72,74,76],cppflag:67,cpu:50,cpu_count:50,creat:[1,2,3,11,22,27,28,29,30,39,44,50,58,63,64,68,72,73,74,75,76],create_glove_char:[1,24],creation:29,credit_card:[3,66],critic:19,cross:21,csv:[1,3,4,5,6,7,12,14,64,66,68,71,72,73,74,76],csv_column_nam:14,csv_data:[4,5,10,11,66,71,73],csv_file:[4,71],csvdata:[10,11,63,66,71,73],current:[3,5,14,22,23,24,26,28,29,30,64,65,66,73,74,75,76],custom:[29,44,45,66,71,73],cut:[4,66],d:[1,29,46,50,65,69],dai:[45,50],daili:4,dask:61,data1:[66,73,74,76],data2:[66,73,74,76],data:[0,1,6,17,20,22,23,24,25,26,29,30,32,33,34,35,37,38,39,43,44,45,46,47,48,49,50,51,52,53,56,61,63,67,70],data_and_metadata:[5,8,15],data_class:11,data_fold:[4,74],data_format:[5,8,9,10,14,15,16,18,63,76],data_gener:12,data_label:[1,2,3,27,36,49,52,66,68,71,73,74,75,76],data_label_represent:[66,74],data_labeler2:36,data_labeler_column_profil:36,data_labeler_dirpath:[49,52,68,73],data_labeler_load_attr:50,data_labeler_object:[1,49,68,73,75],data_labeler_sav:[1,68],data_length:50,data_list:12,data_object:[74,76],data_path:[64,71,74,76],data_process:[2,3,21,27,28,68,75],data_processor:[21,27],data_read:[4,5,8,9,10,11,12,13,14,15,16,17,18,39,48,66,67,71,73],data_s:50,data_split_differ:[74,76],data_stat:[1,66,68,71,73,74,75,76],data_test:[1,68],data_train:[1,68],data_typ:[4,8,9,10,11,14,15,16,18,35,49,64,66,71,72,73,74],data_type_ratio:[37,38,43,51],data_type_represent:[66,73,74],data_util:12,dataarrai:[21,22,23,24,27],datafram:[1,5,8,9,10,12,14,15,16,18,21,22,23,24,26,27,28,30,33,48,50,61,63,65,68,69,71,72,74,75,76],datalabel:[2,3,21,27,36,49,63,68,73,74],datalabelercolumn:[35,36],datalabeleropt:[36,49,50,52],datalaod:72,dataload:63,dataprofil:[1,2,3,4,5,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,57,58,59,61,63,64,65,66,67,68,69,71,73,74,75,76],dataprofiler_loader_report:72,dataprofiler_se:[58,67],dataproil:4,dataset:[3,4,5,8,9,10,14,15,16,17,18,21,29,32,33,34,36,37,38,39,43,46,47,48,49,50,51,52,61,63,64,66,67,68,71,72,73,74,75,76],datatim:72,datatyp:45,date:[3,4,50,66,68,72],datetim:[1,3,4,6,32,49,50,64,65,66,68,72,73],datetime_column_profil:37,datetimecolumn:37,datetimeopt:[37,49],dd:61,deal:68,debug:[19,29],decid:[49,73],decim:[48,73,74,76],deciph:[4,10,14],decod:[6,32,45],decor:[22,28,29],deep:66,deeper:63,def:[1,4,29,68,72],default_factori:50,default_ind:1,default_label:[1,2,23,24,27,28,30,68,75],defaultdict:50,defin:[1,5,29,46,49,65,73,75],definit:50,degre:[64,73],delet:67,delimit:[5,10,12,14,63,71,74,76],delimti:4,demo:[68,72],demonstr:[4,65,71],denot:73,dens:[1,29],depart:68,depend:[29,31,48,50,57,64,67,68],deprec:29,depth:[4,63],deriv:1,descend:34,descent:29,describ:[13,21,22,23,24,25,26,27,28,29,30,39,73],descript:[4,5,64,71],deseri:44,design:[7,12,66,68,71,73,74,76],desir:[1,4,48,66,71,74,75,76],destin:14,destination_nod:14,detail:[2,3,4,23,24,25,48,63,71,73,74,76],detect:[5,8,11,12,16,63,64,66,67,71,73,74,75,76],detect_cell_typ:12,detect_file_encod:12,determin:[2,3,4,8,9,10,12,13,14,15,16,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,43,47,49,52,66,73,74,76],dev:67,deviat:[38,43,46,51,73],devid:71,df1:71,df2:71,df:[4,36,37,38,43,46,47,51,53,68,69,71,73],df_data:[1,68],df_result:[1,68],df_seri:[33,34,35,36,37,38,43,46,47,48,50,51,52],diamond:[4,74],dict1:50,dict2:50,dict:[2,3,4,5,8,9,10,11,12,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,61,66,71,73,74,75,76],dictat:27,dictionari:[4,5,12,15,21,24,25,27,29,33,34,35,36,37,38,41,43,45,46,47,48,49,50,51,64,66,73,74,76],did:29,diff:[33,34,35,36,37,38,39,43,46,47,48,51,52,53,64,73,74,76],diff_report:73,differ:[1,4,29,33,34,35,36,37,38,39,43,46,47,48,50,51,52,53,61,63,66,68,71,72],differenc:73,differenti:[36,64],digest:3,digit:[3,25,66,73,75],dim:24,dim_emb:[1,23,24,26,30],dimens:29,dir:29,directli:[4,29,65,66,68,71,73,74,76],directori:[22,23,24,26,30,52,68,72,73],directpasspreprocessor:[2,20,28],dirpath:[3,21,22,23,24,26,27,28,30,68],disabl:[1,26,29,33,34,35,36,37,43,46,47,49,52,66,67,68,71,72,73],discov:67,discoveri:25,discret:29,discrimin:25,discuss:4,discussion_reddit:[4,71,76],disk:[3,20,21,22,23,24,26,27,28,30,39,48,74,76],displai:[4,25,34,49,68,73],dist:67,distinct:73,distribut:[29,36,64,66,67,69,71,73],dive:[63,68],doan:73,doc:[4,64],document:[68,74,76],doe:[25,26,29,30,44,50,64,66],doesn:[29,31,57,74,76],domin:28,don:[29,66,67],done:[21,27,29],doubl:67,down:24,download:[12,72],downstream:[29,66],dp:[1,2,3,4,5,6,64,65,66,68,69,70,71,72,73,74,75,76],dp_data:72,dp_datafram:72,dp_dataload:72,dp_log:19,dpi:74,drivers_licens:[3,66],drmaciv:50,drop:[1,48,68],dropout:[1,23,24],dtype:[1,12,29,65,75],dtype_polici:29,due:[50,74,75],dummi:69,dump:[66,71,73,74,76],duplic:[50,71,74,76],duplicate_row_count:[66,71,73,74],durat:73,dure:[2,3,29,45,75],dynam:[29,72],e:[3,4,21,27,29,50,68,73,75],each:[3,4,12,21,22,23,24,25,27,28,29,30,34,36,38,41,45,50,64,66,68,71,72,73,74,75,76],eager:29,earlier:68,easi:[5,66,68,73],easiest:2,easili:[68,71,73,75],ecosystem:29,edg:[4,14,38,43,46,51,64,66,73],educ:68,effici:66,effort:4,eg:49,egg:67,either:[12,21,27,29,50,64,67,74,76],element:[29,38,45,73],elif:1,elimin:45,els:[1,50,71,72,74,76],email:68,email_address:[3,66],emb:24,embed:[1,24,28],embed_fil:1,embedding_dict:1,embedding_matrix:1,empti:[1,4,50,71,73],empty_line_count:[66,73,76],en:50,enabl:[29,49,66,71,73,75],enabled_profil:49,encapsul:[30,75],encod:[1,3,4,6,8,9,10,12,13,14,15,16,18,21,22,23,24,26,27,28,29,30,32,44,66,68,73,74,76],encoding_funct:1,encoding_map:28,end:[3,28,30,61,68,75],enron:68,ensur:[2,4,12,29,36,45,47,64,68,72,73,75],ensure_ascii:45,enter:29,entir:[4,5,8,10,15,16,73,75],entiti:[28,29,30,52,66,67,68,71,73,74,76],entity_count:[66,73,76],entity_percentag:[66,73],entity_priority_ord:28,entity_rev_dict:29,entri:[25,29,66,73],enumer:72,env:67,environ:71,epoch:[1,3,21,22,23,24,27,68],epoch_id:[3,24],equal:[2,28,49,71,73],equip:[66,73],equival:29,eras:[8,9,10,14,15,16,18],error:[1,4,19,21,27,29,36,49,50,67,68,69,71,74,76],error_on_mismatch:[21,27],escap:45,estim:[38,43,46,49,50,51,73],etc:[3,4,12,28,29,48,50,66,71,73,74,76],evalu:[1,2,3,29,75],evaluate_accuraci:29,evan:68,even:72,ever:68,everi:[12,73,74,76],ex:73,exact:[72,73],exactli:[4,29,71],examin:[8,10,15,16,18,74,76],exampl:[1,2,3,4,5,25,29,30,45,61,64,66,68,69,71,73,74,75,76],except:[1,2,3,4,28,29,50,64,68,69,72,74,75,76],exclud:[25,33,34,35,36,37,43,47,52],execut:[3,29,50,72],exist:[8,9,10,14,15,16,18,21,22,23,24,26,27,28,29,30,31,44,49,50,57,63,66,68,72,73],expect:[3,12,29,44,68,71,75],explicit:73,explicitli:[29,71,74,76],explor:[1,66],expon:64,express:29,exst:[2,75],extend:68,extended_report:72,extens:[4,71],extra:[1,4,10,64,68,69,74,76],extract:[22,23,24,26,30],extran:3,f1:[1,22,23,24,25,29,68],f1_report:[22,23,24,29],f1_report_dict_to_str:29,f1_score_train:1,f1score:[1,29],f:[25,29,50,57],f_1:29,f_:29,f_in:72,f_out:72,f_score:29,factor:24,factori:[11,48,50],fail:4,failur:[4,49],fake:75,faliur:4,fall:29,fals:[1,2,4,5,9,12,13,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,45,46,47,48,49,51,52,53,64,66,68,71,72,73,74,75,76],false_positive_dict:2,fashion:61,fbeta_scor:25,fbetascor:29,fd:73,featur:[71,73],fed:48,feed:68,fetch:14,few:[66,68],field:4,fig:[65,74],figsiz:74,figur:[38,65,73,74],file:[1,5,8,9,10,11,12,13,14,15,16,17,18,19,20,21,24,27,29,39,42,48,62,63,64,67,68,71,72,74,76],file_a:[66,73],file_b:[66,73],file_encod:[4,8,9,10,12,14,15,16,18],file_object:12,file_path:[8,10,12,14,15,16,18],file_typ:[66,71,73,74,76],filenam:[24,68,74,76],fileorbufferhandl:13,filepath:[4,6,7,19,39,48,64,73,74,76],filepath_or_buff:13,fill:1,filter:[2,29],final_confid:3,final_predicted_lay:1,final_result:3,finalize_st:29,find:[12,14,25,29,33,34,35,38,39,43,46,48,50,51,52,53,66,73],find_diff_of_d:50,find_diff_of_dict:50,find_diff_of_dicts_with_diff_kei:50,find_diff_of_lists_and_set:50,find_diff_of_matric:50,find_diff_of_numb:50,find_diff_of_strings_and_bool:50,find_nth_loc:12,finetun:4,first:[1,2,4,10,15,29,36,50,64,65,66,68,71,72,73,74,75],first_dict:50,fisher:50,fit:[1,3,21,22,23,24,29,36,68],fix:[26,30],flag:[1,2,3,21,22,23,24,26,27,28,30,33,34,35,36,37,43,47,48,49,52],flat:[48,73,74,76],flat_dict:41,flatten:[28,41,48,73,74,76],flatten_separ:28,flatten_split:28,flattened_datafram:[5,15],flight_delai:72,flight_delays_ful:72,flight_delays_mini:72,float16:29,float32:29,float64:[38,43,46,50,51],float_column_profil:38,floatcolumn:38,floatopt:[38,49],flow:2,fly:29,focu:4,fold:[38,43,46,51],folder:[1,2,67,68],follow:[1,3,4,5,19,20,21,25,27,28,29,50,64,65,68,71,72,73,74,76],foo:45,form:[12,29,67],formal:50,format:[1,3,4,5,8,9,10,14,15,16,18,21,24,25,27,28,29,36,37,44,47,48,49,68,71,72,73,74,75,76],former:71,foudn:75,found:[5,29,36,50,68,73,75],four:[48,73,74,76],fp:4,frac:[1,29,68],frame:[8,9,10,12,14,15,16,18,22,23,24,26,30,33,35,50],framework:29,free:29,frequenc:[49,73],frequent:[34,73],fri:68,fridai:68,from:[1,2,3,4,5,8,10,12,13,14,15,16,17,19,20,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,42,43,44,45,46,47,48,49,50,51,53,63,66,69,71,72,73,74,75,76],from_config:29,fromkei:50,fscore:25,full:[29,49,66,67,71,73,74,76],fulli:[1,73],func:[19,25],funciton:75,funky_on:2,funky_thre:2,funky_two:2,further:[5,74,76],futur:63,g:[4,29,34,50,68,73,75],g_1:50,g_2:50,game:4,gamma:64,gather:[49,71],gaussian:4,gca:74,gener:[1,8,9,10,12,14,15,16,18,28,29,33,35,36,37,40,41,47,48,49,50,55,56,58,64,66,71,72,73,74,75,76],generate_pool:50,generator_on_fil:12,get:[1,3,8,9,10,14,15,16,18,22,23,24,26,28,29,30,38,43,45,46,50,51,61,65,67,68,71,72,74,75,76],get_batch_gener:[8,9,10,14,15,16,18],get_build_config:29,get_child_logg:19,get_class:[22,23,24,26,28,30],get_column_profiler_class:44,get_compiler_class:44,get_config:29,get_delimiter_regex:12,get_figur:65,get_input_at:29,get_input_mask_at:29,get_input_shape_at:29,get_logg:19,get_memory_s:50,get_option_class:44,get_output_at:29,get_output_mask_at:29,get_output_shape_at:29,get_paramet:[22,23,24,26,28,30],get_profiler_class:44,get_random_number_gener:58,get_structured_col_profiler_class:44,get_structured_result:[1,68],get_tf_layer_index_from_nam:29,get_unstructured_result:68,get_weight:29,gini:34,gini_impur:[34,66,73],git:67,github:[1,2,4,29,42,64,67,68,69,71,72,74,75,76],githubusercont:4,give:[4,28,31,57,71,75],given:[1,3,4,8,10,11,12,13,16,19,21,22,23,24,26,27,28,29,30,31,32,35,44,45,48,50,57,61,66,67,68,71,73,74,75,76],global:[25,64,66,73],global_max_component_s:[64,66,73],global_stat:[66,71,73,74,75,76],glove:[1,24],go:68,godbol:25,good:[4,72,74],govern:29,grab:73,gradient:29,gradienttap:29,graph:[3,4,5,6,7,31,32,48,55,57,63],graph_data:[4,11,14,39],graph_data_csv_identifi:[4,64],graph_fil:[4,66],graph_func:57,graph_keyword:14,graph_profil:39,graphdata:[11,14,39,63,64],graphopt:39,graphprofil:[4,39,48,64],greater:[1,2,29,73],green:4,ground:63,group:[12,40,41,49,50,73],guarante:45,guess:68,guid:25,gz:72,gzip:72,ha:[3,4,8,10,14,15,16,25,28,29,30,36,44,46,50,68,71,73,74,76],half:71,hall:4,halv:71,handl:[3,12,13,29,71],happen:[4,29],harmon:29,hasattr:29,hash:[3,49,66,73],hash_or_kei:[3,66],hashing_method:[49,73],have:[3,4,12,15,21,22,23,24,26,27,28,29,30,36,50,61,64,66,67,68,71,72,73,75],head:[1,4,66,68,71,73],header:[5,10,12,14,16,63,71,74],heard:68,heavi:73,help:[2,3,21,22,23,24,26,27,28,30,68,75],helper:[6,32,50,68],henc:29,here:[2,4,22,29,42,50,68,71,72,74,75],hide_tf_logger_warn:29,high:74,higher:[28,29],highest:[49,73],histogram:[6,32,38,43,46,49,51,64,66,71,73,74],histogram_and_quantil:[49,71,73],histogram_bin_method_nam:51,histogram_method:51,histogram_select:51,histogramandquantilesopt:49,histori:[22,23,24],hitter:73,hll:[49,73],homebrew:67,homogen:[50,73],honeypot:[1,68],honeypot_intentially_mislabeled_fil:[4,71],host:4,how:[2,3,4,5,10,22,29,34,45,61,63,64,65,68,73,75],howev:[3,4,71,73,74,75],html:[4,64,72],http:[4,5,29,42,50,64,67],human:[68,73],hyperloglog:49,hyperloglogopt:[49,73],i:[3,4,21,27,29,34,67,68,74,76],id:68,id_count:12,idea:[2,50],ideal:4,ident:3,identif:[12,30],identifi:[5,14,30,46,48,60,61,66,68,73,74,76],ideolog:25,idx:12,ie:73,iff:50,ignor:[12,25,29,75],ignore_cas:75,ignore_consecut:12,ignore_dict:12,illustr:[3,4],iloc:71,imbal:25,impact:[26,30,35,48],implement:[4,12,14,29,63,64],impli:29,importerror:[2,4,64,68,69,72,74,75,76],impos:[38,43,46,51],improp:49,improv:[68,72],impur:34,inbound:29,inbound_nod:29,includ:[1,2,21,23,24,25,27,29,49,67,71,74,75,76],include_label:2,incom:[29,45],incompat:29,incorrect:[4,34],incorrectli:[4,71,73],increas:74,ind:72,indent:[45,66,71,73,74,76],independ:29,index:[1,3,5,12,14,21,22,23,24,26,27,28,29,30,47,48,50,65,73,74],indic:[1,22,23,24,25,26,29,30,48,50,73],indici:73,individu:[4,12,38,43,47,51,67,68,71,75],infer:[29,71,73,74],infin:45,infinit:45,info:[8,9,10,14,15,16,18,19,29,68],inform:[3,4,29,64,68,71,73,74,76],ingest:[3,74,76],inherit:[1,21,68],init_scop:29,initi:[1,3,8,9,10,12,13,14,15,16,17,18,21,22,23,24,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,49,50,51,52,53,61],inplac:[28,66,73],input:[1,3,4,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,49,50,64,68,71,73,74,76],input_file_path:[4,5,8,9,10,11,14,15,16,17,18],input_length:1,input_mask:29,input_shap:[1,29],input_signatur:29,input_spec:29,input_str:[1,30],inputspec:29,insert:[1,2,4,29,45,50,64,66,68,69,71,72,74,75,76],insid:[29,66,73,74,75,76],instal:[31,57,63,65,66],instanc:[19,21,25,27,29,34,44,73],instanti:[29,48,61,69],instead:[8,9,10,14,15,16,17,18,21,25,27,29,68],insturl:68,int64:[50,51],int_column_profil:43,intcolumn:43,integ:[1,2,3,14,23,24,28,29,30,38,43,45,46,51,65,66,68,73,75],integr:[29,63],intend:72,intent:4,intention:4,intentionally_mislabled_fil:[4,71],interchang:68,interept:4,interest:[1,71],intern:[25,27,29,50],interpol:[38,43,46,51],interpret:[3,4],intopt:[43,49],intro:[63,73],introductori:71,invalid:1,investig:68,invoc:29,invok:29,involv:68,io:4,ipv4:[3,66],ipv6:[3,66],iri:[4,74],is_case_sensit:[49,73,76],is_en:[1,49,50,66,68,71,72,73,74,76],is_float:[38,43,46,51],is_in_list:61,is_in_rang:61,is_int:[38,43,46,51],is_match:[8,9,10,14,15,16,18,34,63],is_numeric_stats_en:[49,73],is_pred_label:28,is_prop_en:49,is_separate_at_max_len:28,is_stream_buff:13,is_structur:[8,9,10,14,15,16,18],is_valid_url:12,isdir:[2,75],isinst:1,isn:29,issu:66,item:[1,12,45,50,61,68],item_separ:45,iter:[3,12,21,22,26,29,30,50],iterencod:45,its:[1,3,4,21,25,27,29,46,48,61,66,73,75],itself:[5,34,38,43,46,51],ivar:49,j:[4,34],javamail:68,javascript:45,john:68,join:[1,4,8,15,28,41,64,71,72,74,76],js:29,jsmith:68,json:[1,2,3,4,5,6,7,12,16,32,33,34,35,36,37,38,43,46,47,48,49,51,66,68,69,71,72,73,74,75,76],json_data:[8,11,15,71],json_decod:44,json_encod:[44,45],json_fil:[4,71],json_lin:12,json_to_datafram:12,jsondata:[4,8,11,15,71],jsonencod:45,jsonifi:45,jsontyp:12,jupyt:71,just:[5,71,73,74,75,76],k:[34,50],kader:34,keep:[29,68],kei:[4,5,8,12,15,21,27,28,39,41,45,48,50,66,73,74,76],kera:[1,29],kernel:29,kernel_initi:29,key_separ:45,keydict:50,keyerror:50,keyword:[14,29],kind:[11,29],know:72,knowledg:25,known:[25,72],kurtosi:[38,43,46,49,50,51,64,66,73],kwarg:[11,22,23,24,26,28,29,30,47,50],kwd:49,l211:29,l283:29,l:[29,67],label1:3,label2:3,label:[0,1,6,22,23,24,25,26,28,30,31,32,48,49,50,63,67,70,71,72,73,74,76],label_1:30,label_1_pattern_1:30,label_1_pattern_2:30,label_2:30,label_2_pattern_1:30,label_2_pattern_2:30,label_df:68,label_encod:52,label_map:[1,2,21,22,23,24,26,27,28,30,68,75],label_nam:[3,29],label_represent:[36,73],labeled_data:68,labeler_class:27,labeler_from_librari:2,labeler_funct:31,labeler_typ:[1,3,27,68],labeler_util:[1,29],labler:[66,67],lack:50,lambda:[1,29],languag:29,larg:71,largest:64,last:[4,12,50,65,68,71,73,74],later:[4,29,66,74,76],latter:71,law:29,layer:[1,29],layer_a:29,layer_b:29,layer_nam:29,lazi:50,learn:[63,66],least:[15,73],left:73,leftov:28,len:[1,4,29,68,71,74,76],length:[4,8,9,10,12,14,15,16,18,28,50,64],less:[12,50,72,73],let:[1,2,64,68,69,71,74,75,76],letter:75,level:[3,6,19,20,22,23,26,28,30,41,45,49,63,65,66,68,71,73,74],lib:[19,67],libarari:72,librari:[1,2,3,21,27,28,63,64,66,68,71,75],libsnappi:67,licens:[29,42],lifo:50,like:[1,3,24,25,29,41,50,64,71,73,74,76],likelihood:[34,64,73],limit:29,line:[4,10,12,15,18,66,68,71,73],linux:67,list:[1,2,3,4,5,8,9,10,11,12,14,15,16,18,20,21,22,23,24,25,26,27,28,29,30,31,34,36,38,43,45,46,48,49,50,51,52,57,61,63,64,65,66,68,71,73,74,75,76],list_of_necessary_param:1,list_of_profil:[50,69],live:29,ll:[68,72],load:[1,5,6,8,9,10,12,13,14,15,16,17,18,20,21,22,24,26,27,28,29,30,33,34,35,36,37,38,39,43,44,46,47,48,49,50,51,63,72],load_as_str_from_fil:12,load_attr:50,load_column_profil:44,load_compil:44,load_from_dict:[33,34,35,36,37,38,43,46,47,48,49,51],load_from_disk:[2,3,21,22,23,24,26,27,28,30,75],load_from_librari:[20,21,27,28,63,75],load_method:[48,73],load_model:29,load_opt:[21,27,44],load_own_vari:29,load_profil:44,load_structured_col_profil:44,load_with_compon:[21,27,63],loadabl:23,loaded_json_profil:73,loaded_pkl_profil:73,loaded_profil:[74,76],loader:72,loc:[12,64,73],local:67,locat:[4,10,14,21,24,27,48,71,73,74],log:[6,64,68,69,70,73,74,76],logger:[19,29],loggin:[68,69,74,76],logic:[12,29],logist:64,lognorm:64,look:[63,64,68,69,74,75,76],lookup:29,loop:[27,29],loss:[1,29],low:65,lower:75,lower_memory_sketch:[49,73],lowercas:75,lowercase_char:75,lowest:28,lst:50,lstm:63,m1:29,m2:29,m:[3,5,12,29,34,50,67],mac_address:[3,66],machin:[71,74,76],macklemor:3,maco:67,macro:[25,29],made:25,mai:[4,5,8,10,15,16,18,29,49,71,74,76],mail:68,main:[0,1,3,4,25,42,65],maintain:3,major:[25,68],make:[1,3,29,46,66,68,71],makedir:[1,68,72],manag:13,mani:[4,5,10,22],manipul:[74,76],manner:[4,66,73],manual:[4,29,58],map:[1,2,3,22,23,24,26,28,30,36,48,49,68,73,75],margin_of_error:[66,74],mari:68,mask:29,match:[9,12,21,25,27,29,30,37,38,43,51,64,74,75,76],match_count:[37,38,43,51],match_sentence_length:28,math:72,math_op:29,mathemat:[4,12],matmul:29,matplotlib:[65,71,74],matric:50,matrix1:50,matrix2:50,matrix:[1,25,29,49,50,66,73,74],max:[22,23,24,26,29,30,37,49,50,51,64,66,71,73,74],max_byt:12,max_char_encoding_id:[1,23,24],max_histogram_bin:51,max_k_mod:49,max_length:[1,23,24,26,28,30,68],max_lin:12,max_num_char:[26,30],max_pool_s:50,max_sample_s:[49,73,74],max_sample_size_to_check_stop_condit:[49,73],maximum:[12,28,49,73],mayb:9,mb:[66,73],mcm:25,mcm_:25,md5:[3,66],mean:[25,29,38,43,46,51,64,65,66,67,68,71,73,74,76],meant:29,measur:[50,73],mechan:[3,4],median:[38,43,46,49,51,66,71,73],median_abs_devi:[38,43,46,51,71,73],median_absolute_devi:[66,73],meet:4,melt:[1,68],member:45,memori:[1,5,8,10,15,16,18,50],memory_s:[66,73],mention:[4,68],merg:[29,50,63],merge_profile_list:[50,69],merge_st:29,messag:[50,68],met:73,metadata:[5,8,15,29,33,34,36,37,38,43,46,47,51],method:[2,3,4,22,25,28,29,34,36,37,44,46,47,48,49,50,71,73,74,76],method_timeit:50,metric:[1,25,29,49,73],metric_1:29,metric_2:29,micro:[1,25,29],might:[64,68],millisecond:73,mime:68,min:[29,37,48,49,51,66,71,73,74],min_histogram_bin:51,min_sample_s:48,min_true_sampl:[48,73],mind:68,mine:25,mini:72,minimum:[36,48,49,73],mirror:73,mismatch:[21,27,74],miss:[31,46,50,57,74],mix:29,mixed_precis:29,mixin:[6,7,38,43,49],mkdir:[2,75],ml:[66,67,68],mod:29,mode:[13,28,29,38,43,46,49,51,66,71,73],model:[6,20,21,27,28,29,46,48,61,63,66,68,73,75],model_path:23,model_predict:3,model_result:[3,68],modeopt:49,modif:1,modifi:[28,29,42,71],modul:[19,25,27,29,31,57,70],module_nam:[31,57],monitor:66,monti:4,more:[2,4,9,25,28,29,36,63,64,66,68,71,72,73,74,76],most:[34,45,74,76],move:29,mro:[22,28],much:73,multi:[21,22,23,24,25,26,27,29,30],multiclass:25,multilabel:25,multilabel_confusion_matrix:25,multipl:[3,8,9,10,14,15,16,17,18,29,61,65,67,68,71,73,74,75,76],multiprocess:[35,48,50,73],multiproess:50,must:[1,3,5,19,21,22,23,24,27,28,29,36,48,73,74,75,76],my:[3,4,73],my_datafram:[66,71,73,74],my_graph:66,my_home_address:2,my_label:68,my_metric_lay:29,my_modul:29,my_new_regex_label:75,my_profil:[73,74,76],my_text:66,mydata:4,mylay:29,mymetriclay:29,mymodul:29,mysocket:45,n:[1,3,4,5,12,14,26,28,30,34,68,71,73],n_dim:24,n_label:25,n_output:25,n_sampl:25,n_unique_label:25,na:68,name:[1,4,6,14,19,20,21,25,27,28,29,31,33,34,35,36,37,38,43,44,46,47,49,50,51,53,57,63,64,65,66,67,68,71,73,74],name_scop:29,nan:[12,45,49],nation:[4,71],ndarrai:[21,22,23,24,25,26,27,28,30,36,48,50],ndim:29,nearest:28,nearli:3,necessari:[1,64,69],need:[1,2,3,12,19,21,22,23,24,26,29,30,49,50,64,66,68,71,72,74,75,76],neg:[25,38,43,45,46,50,51,64,73],negative_threshold_config:2,ner:[3,28,68],nest:[5,29,41,48,50,73,74,76],network:[1,29],networkx:[4,5,14,39,64],neural:1,new_column_name_label:2,new_data:[66,73,74,76],new_label:[3,68],new_profil:64,new_report:64,newlin:45,next:[1,4,68,72,74,76],nice:29,nmodel:[2,75],node:[14,29,64,73],node_id_dst:4,node_id_src:4,node_index:29,non:[1,28,29,45,48,68,73],non_csv_fil:4,non_trainable_vari:29,non_trainable_weight:29,none:[1,5,6,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,43,44,45,46,47,48,49,50,51,52,53,57,61,65,66,67,68,72,73,74,76],noqa:72,nor:29,norm:64,normal:29,normal_csv_fil:73,normal_text_fil:73,not_my_address:2,note:[1,3,12,25,29,42,51,67,73,74,75,76],notebook:[1,2,4,64,68,69,71,72,74,75,76],noth:36,notic:[4,64,73,75],notimplementederror:[45,48],notset:19,now:[29,64,68,69,75],np:[1,12,21,22,23,24,25,27,28,29,38,43,46,48,50,51,66],np_type_to_typ:[38,43,46,51],npt:28,nth:12,null_count:[49,66,73,74],null_replication_metr:[49,66,73],null_typ:[66,73,74],null_types_index:[66,73,74],null_valu:[48,49],num_class:[1,29],num_cols_threshold:50,num_edg:[64,66,73],num_fil:[23,24],num_label:[1,22,23,24,26,29,30],num_lin:4,num_neg:[49,51,66,73],num_nod:[64,66,73],num_quantil:[49,73],num_quantile_group:[40,41,73],num_rows_threshold:50,num_sampl:28,num_zero:[49,51,66,73],number:[1,3,12,21,22,23,24,25,27,28,29,40,41,48,49,50,58,61,62,64,66,68,71,73,74,76],numer:[6,29,32,38,43,49,65,73,74],numeric_stats_dis:[49,73],numerical_column_stat:[38,43,46,51],numericalopt:[46,49],numericaloptionst:49,numerican:49,numericstatsmixin:[38,43,46,51],numericstatsmixint:[43,46],numpi:[1,12,22,23,24,26,28,29,30,36,38,42,43,46,48,50,51,58,66],nx:39,o:[14,45,68],object:[1,4,5,9,11,12,13,17,21,22,27,28,29,35,39,41,44,45,46,48,49,50,52,53,61,65,66,68,69,71,73,74,75,76],observ:[34,64],obtain:[29,71],occur:[12,34,61,68,73],occurr:[12,25,73],od:41,off:[4,49,66,71,73,74,75,76],offic:68,offset:13,often:[29,34,73],older:67,omit:29,omit_kei:75,omitted_label:29,on_read:29,onc:[1,4,73,74,76],one:[1,3,5,12,19,25,29,34,35,48,66,67,68,71,72,73,74,75,76],ones:[29,68,73],onli:[2,4,5,8,10,14,15,16,18,22,25,29,45,50,61,65,66,68,71,72,73,74,75,76],op:29,opeid6:68,open:[4,12,13,66,68,72],open_method:13,oper:[66,73,74,76],opportun:28,optim:[1,23,24,73],option:[1,2,3,5,6,8,9,10,11,12,13,14,15,16,17,18,21,24,25,26,27,28,29,30,32,33,34,35,36,37,38,39,43,44,46,47,48,50,51,52,53,61,63,64,65,66,68,72,75],order:[1,3,6,22,23,24,25,26,28,29,30,32,34,35,36,49,50,66,68,74,75],order_column_profil:47,ordercolumn:[35,47],ordereddict:48,orderopt:[47,49],ordin:[3,66],org:[29,50,64],origin:[4,12,24,28,29,40,41,68,71,72],os:[1,2,4,64,66,68,69,71,72,74,75,76],oth:75,other:[1,2,23,24,29,35,66,68,71,73,75],other_profil:[33,34,36,37,38,39,43,46,47,48,50,51,52,53],otherwis:[9,25,28,36,45,49,50,73],otuput:75,ou:68,our:[64,65],out:[1,2,3,5,12,29,50,68,69,73],outbound_nod:29,output:[1,2,3,5,12,14,21,25,27,28,29,36,37,39,45,47,48,50,52,53,64,68,72,73,74,75,76],output_dict:25,output_format:[3,28,48,66,68,71,73,74,75,76],output_mask:29,output_shap:[1,29],over:[4,21,61],overal:[29,71,74,76],overflowerror:45,overlap:50,overrid:[3,29,44,48,49],overridden:29,overview:63,overwrit:[49,68],own:[1,29,68,73],p:[34,67,73],packag:[6,7,29,32,40,55,60,62,66,67,69],pad:[1,28,29,68],pad_label:[1,28],page:73,pair:[21,27,50],panda:[1,2,5,8,9,10,12,14,15,16,18,22,23,24,26,28,30,33,34,35,36,37,38,43,46,47,48,50,51,52,53,61,63,65,68,69,71,72,74,75,76],param1:3,param2:3,param3:3,param:[1,8,10,16,21,22,27,29,33,34,35,36,37,38,43,44,46,47,48,49,51,61],param_list:[22,23,24,26,28,30],paramet:[1,3,4,5,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,40,41,43,44,45,46,47,48,49,50,51,52,53,57,61,63,64,68,73,75],parameter:29,parametesr:[2,75],parent:[21,33],parq:4,parquet:[4,5,6,7,12,66,67,71,73,74,76],parquet_data:[11,16,66,71,73],parquet_fil:[4,71],parquetdata:[4,11,16,66,71,73],pars:[33,34,35,36,37,38,43,46,47,48,49,51],parse_d:72,part:[29,38,43,46,51,66],partial:[29,61],particular:[1,2,12,71],particularli:[74,76],partit:[50,73],pass:[2,3,5,8,10,12,14,15,16,18,29,69],path:[1,2,3,4,5,8,9,10,12,13,14,15,16,17,18,21,22,23,24,26,27,28,30,39,48,52,64,68,69,71,72,73,74,75,76],pattern:[12,30],pattern_dict:30,payload:[5,15],payload_kei:[5,15],pb:1,pd:[1,2,4,12,21,22,27,28,48,61,65,66,68,69,71,72,73,74,75,76],pdt:68,peek:[74,76],per:[3,18,25,29,66,68,75],percent:15,percentag:[52,73],percentil:73,percis:49,perform:[1,25,29,50,68,73],perform_chi_squared_test_for_homogen:50,permiss:29,perri:34,person:[3,66,68],pertain:[5,8,9,10,14,15,16,17,18],phone:68,phone_numb:[3,66],pickl:[48,73,74,76],piec:68,pii:66,pip3:[67,72],pip:[65,66,67],pipelin:[3,21,27,63,66,68],pkl:[64,73,74,76],place:[28,45,48,72,73,74,75,76],plain:[4,68,71],pleas:[3,66],plethora:71,plot:74,plot_col_histogram:65,plot_col_missing_valu:65,plot_histogram:[65,74],plot_missing_values_matrix:[65,74],plt:[71,74],plug:1,pm:[68,72],pm_data:72,pm_stability_report:72,point:[5,25,66,73,74,76],polici:29,pool:[35,48,50,73],pool_count:50,pop:[35,38,39,46,50,51,53],popitem:50,popmon:63,popmon_dataload:72,popmon_loader_report:72,popmon_output:72,popmon_tutorial_data:72,popoul:73,popul:[33,34,35,36,37,38,43,46,47,48,49,50,51],pos_label:25,posit:[2,3,25,29,38,43,46,51,64,68],positive_threshold_config:2,possibl:[2,3,5,8,10,14,15,16,18,23,24,26,30,36,50,66,73,74,75,76],possible_data_label:36,post:[2,4,75],postprocesor:75,postprocess:28,postprocess_char_level:[66,73,76],postprocessor:[1,2,20,21,27,28,63,68,73],potenti:[29,35,38,50,51,53],pp:[25,34,64],pprint:[2,64,66,74,75,76],pre:[1,28,49,63,66,73],precis:[25,29,38,49,50,66,68,73,74],precision_recall_fscore_support:25,precisionopt:49,pred:[3,25,28,68],predict:[1,3,21,22,23,24,26,27,28,29,30,32,36,63,66,71,73,74,76],predict_opt:[2,3,21,27,68,75],predicted_entities_in_index:29,prefer:73,preivous:4,premium:4,prep:68,prepar:[4,68],preprocess:28,preprocessor:[1,2,20,21,27,28,68],present:[1,25,46,50,73],preset:[49,73],pretti:[12,45,48,66,71,73,74,76],prettifi:[48,66,73,74,76],prettyprint:[64,66],prevent:45,previou:[29,64,73,75],previous:4,price:4,prim:33,primari:[74,76],primit:[35,73],princip:24,print:[1,2,3,4,12,21,22,23,24,26,27,29,30,45,66,68,71,72,73,74,75,76],printer:66,printout:[29,72],prior:[12,31,57,74,76],prioriti:28,priority_ord:28,priority_predict:28,privat:[34,36,37,47],privileg:68,probabl:[34,36,48,49,73,74,75],process:[1,3,6,12,20,22,26,50,61,71,73,74,75,76],processor:[2,3,20,21,27,28,68],processor_param:1,processor_typ:28,produc:[29,50],profil:[0,1,2,3,4,6,7,40,41,44,45,46,63,65,67,68,70,72],profile1:[66,71,73,74,76],profile2:[66,71,73,74,76],profile3:[66,73,74,76],profile_build:[48,50,65],profile_ful:71,profile_merg:71,profile_opt:[1,68,71,73,74,75,76],profile_schema:[66,73],profileencod:45,profiler_opt:[35,46,48,49,52,72],profiler_test:[74,76],profiler_train:[74,76],profiler_typ:[48,66,71,73,74,76],profiler_util:50,profilerencod:45,profileropt:[1,39,48,49,68,71,72,73,74,75,76],prop:[49,64],propag:29,proper:[11,72],properli:[12,49,72],properti:[4,5,8,9,10,14,15,16,18,21,22,23,24,26,27,29,30,33,34,35,36,37,38,39,43,46,47,48,49,51,52,53,63,64,66,71,73,74,76],proport:73,protect:29,protected_register_keras_serializ:29,proto:4,protocol:[47,50],provid:[1,2,4,27,29,32,40,48,50,63,64,65,66,68,69,71,73,74,76],pseudo:[74,76],psi:73,pst:68,pull_rul:72,purpos:[2,74,76],put:28,py3:67,py:[29,67],pypi:[66,67],pyplot:[71,74],pytest:67,python3:67,python:[29,38,43,45,46,51,66,67,73],quadratur:4,quantil:[40,41,49,51,66,73,74],quantiti:[3,66],queri:12,question:73,quick:[68,74],quickli:[2,74,76],quot:[4,10,14],quotechar:[10,12,14,63],r:[13,30,67,75],rag:28,rais:[1,4,12,25,29,36,44,45,48,49,50,71],raise_error:49,random:[3,4,28,29,34,48,58,66,68,72,73,75],random_st:[28,68],randomli:[28,73,75],rang:[1,14,29,61,73,74,76],rank:[29,36],rank_distribut:36,rare:[66,73],rather:[29,75],ratio:[1,34,37,38,43,49,51,71,73,74],raw:[4,68],rb:72,re:[29,48,49,68],reach:[4,73],read:[1,5,8,10,11,12,13,14,15,16,18,25,63,66,71,72,73,74,76],read_csv:72,read_csv_df:12,read_in_str:12,read_json:12,read_json_df:12,read_parquet_df:12,read_text_as_list_of_str:12,readabl:[13,25,50,68,73],readable_report:[66,73],reader:[0,1,6,12,63,66,68,70,72,73],readlin:4,real:68,reason:[29,74,76],rec_dropout:1,recal:[25,29,68],receiv:[25,29,75],recipi:68,recision_recall_fscore_support:25,recognit:[3,66,67,68,73],recommend:[29,50],reconstruct:[1,3,68],record:[4,5,8,10,15,16,50,76],record_samples_per_lin:[4,10],recurr:1,recurrent_activ:1,recurrent_dropout:1,recurs:[29,45,50],recursive_dict_upd:50,red:4,reduc:[1,50],reduce_max:29,reduce_mean:29,reduce_min:29,reduce_sum:29,redund:49,refer:[3,25,29,34,45],referenc:[25,73],refit:21,reflect:29,regard:68,regardless:71,regex:[6,12,20,28,48,63],regex_model:[20,30,75],regex_pattern:[30,75],regexflag:[48,49],regexmodel:[20,30],regexpostprocessor:[20,28,75],regist:[22,28,29,49,73],register_count:[49,73],registr:22,regress:45,regular:29,reinstanti:61,reject:50,rel:12,relat:[42,71,74],relev:[23,24,73],reload:[8,9,10,14,15,16,18,63],reload_labeler_from_options_or_get_new:50,relu:1,remain:28,remov:[2,46,48,50,67,68,69,71,73,74,76],remove_disabled_flag:[33,34,35,36,37,38,39,43,46,47,48,51,52,53],replac:[1,8,9,10,14,15,16,18,30,63,73],replic:[49,73],replica:29,repo:67,report:[1,6,20,29,32,33,34,35,36,37,38,39,40,43,46,47,48,51,52,53,56,57,63,64,65,66,68,69,70,71,75],report_dp_load:72,report_ful:71,report_help:41,report_merg:71,report_opt:[48,66,71,73,74,76],report_output_dir:72,report_pm_load:72,repres:[12,29,34,36,37,38,43,44,46,47,48,51,64],represent:[12,44,45],reproduc:73,request:4,requir:[1,3,4,26,28,29,30,48,49,50,65,66,67,68,73,74,75,76],require_modul:[31,57],requires_zero_map:[1,22,23,24,26,30],rerun:67,reserv:[1,29],reservoir:[5,12],reset:[1,21,22,23,24,26,29,30,66],reset_index:[1,68],reset_st:29,reset_weight:[21,22,23,24,26,30,68],resolut:[22,28],resolv:67,resourc:[2,29,50,72],respect:[46,48,50,61,65,68,73,75],respons:[5,73],rest:[29,64,75],restor:29,result:[1,2,3,25,28,29,35,48,50,61,66,68,71,73,74,75],retrain:[3,68],retriev:[21,22,23,24,26,27,28,29,30,44,73],return_sequ:1,reus:[3,29,50],revers:[22,23,24,26,29,30,36],reverse_label_map:[21,22,23,24,26,27,30,36],review:[3,74],rice:[71,73],right:29,rng:[6,70],rng_util:58,role:2,round:[25,48,73,74,76],row:[3,4,5,10,12,49,50,66,68,71,73,74],row_count:[66,71,73,74],row_has_null_ratio:[66,73,74],row_is_null_ratio:[66,71,73,74],row_statist:[49,73],rowstatisticsopt:49,rsampl:12,rtype:[12,28,29,36,37,38,43,46,47,49,50,51],rule:[29,63],run:[2,3,22,23,24,29,31,49,57,61,63,64,67,68,71,72,74,75,76],runtim:[48,73,74],runtimeerror:29,s:[1,2,3,5,12,22,28,29,38,41,43,46,49,50,51,63,64,65,68,69,73,74,76],safe:29,sai:[36,66,67],said:[28,74,75,76],sake:[1,68],sale:68,same:[1,3,4,12,21,22,23,24,25,26,27,28,29,30,36,49,50,64,66,71,72,73,74,76],same_a:[3,21,22,23,24,26,27,30],sampl:[1,3,5,12,18,21,22,23,24,25,28,36,37,38,43,48,49,50,51,66,68,71,74,75,76],sample1:71,sample2:71,sample3:71,sample_arrai:73,sample_id:48,sample_in_chunk:50,sample_nrow:[5,10,12],sample_ratio:[49,73],sample_s:[33,34,36,37,38,43,46,47,48,51,66,71,73,74],sample_size1:50,sample_size2:50,sample_skew:50,sample_weight:[25,29],samples_per_lin:[5,18],samples_per_upd:[48,73],samples_us:[66,73,74,76],sampling_ratio:[48,49,73],sarawagi:25,satisfi:73,save:[3,8,9,10,15,16,18,21,22,23,24,26,27,28,29,30,39,48,63,72],save_dirpath:[1,3,27,68],save_method:[48,73],save_own_vari:29,save_to_disk:[1,2,3,21,22,23,24,26,27,28,30,68,75],saved_label:[2,75],savedmodel:29,saw:68,scalar:29,scale:[64,66,73],scan:68,schema:[66,73,74,76],schooldatasmal:[68,76],scipi:64,scope:29,score:[1,25,26,29,68],scott:73,scratch:63,sdist:67,seaborn:65,search:[12,29],search_queri:12,search_str:68,second:[1,36,50,66,71,75],second_dict:50,section:[1,4,66,68,69,71,73,74,76],see:[2,25,29,44,49,61,64,66,67,71,72,73,74,75,76],seed:[6,49,58],seek_offset:13,seek_whenc:13,seem:49,seemlessli:72,seen:36,select:[5,8,10,15,16,18,28,35,63,73,76],selected_column:[4,5,10,12,16],selected_data_typ:35,selected_kei:[5,8,15],self:[1,29,33,34,35,36,37,38,39,43,46,47,48,49,51,53],send:[21,49,68,73],send_address:2,sensibl:45,sensit:[25,49,66,67,71,73,75],sent:[1,21,68,73],sentenc:[4,28,29,76],separ:[12,28,41,45,69,71,75],seper:[41,74,76],sequenc:29,sequenti:[1,71],serach:75,seri:[12,21,22,23,24,26,27,30,34,35,36,37,38,43,46,47,48,50,51,52,53,65,66,74,76],serial:[29,44,45],serializ:[3,29,48,73,74,76],serializbl:45,serialized_json:44,serv:1,set:[1,2,3,4,5,6,8,12,16,19,21,22,23,24,25,26,27,28,29,30,31,49,50,57,61,63,66,68,70,71,72,74,76],set_dpi:74,set_label:[2,21,27,75],set_label_map:[22,23,24,26,30],set_model:[1,3,21,27,68],set_opt:68,set_param:[1,2,3,21,22,23,24,26,27,28,30,68,75],set_postprocessor:[3,21,27,68,75],set_preprocessor:[3,21,27,68],set_se:[6,73],set_size_inch:74,set_verbos:[19,68,69,74,76],set_weight:29,setdefault:[1,50],setter:49,setup:[63,67],sever:[43,46,71,73],sha1:[3,66],sha256:[3,66],shallow:50,shantanu:25,shape:[1,25,28,29,64,73],share:[50,73],sheet:4,shorten:[48,71,73,74,76],should:[2,4,26,29,30,33,34,35,36,37,43,45,47,52,61,66,71,73,74,76],show:[1,2,25,65,68,69,71,73,75],show_confid:[2,3,21,22,23,24,26,27,30,68,75],shown:[4,25,29,64,71,73],shuffl:50,shuffle_in_chunk:50,shutil:72,si1:4,si2:4,sigmoid:1,sign:50,signatur:29,signific:[38,73],simialrli:74,similar:[2,3,26,48,73,74,76],similarli:[29,64,74,76],simpl:[68,74,76],simpli:[36,45,72],simultan:3,sinc:[3,8,16,29,68],singl:[4,10,21,22,23,24,26,27,28,29,30,50,66,69,75,76],single_profil:69,singlequot:4,size:[1,12,21,27,28,48,49,50,64,71],size_conv:[1,23,24],size_fc:[1,23,24],size_lstm:1,skeleton:64,sketch:[49,73],skew:[38,43,46,49,50,51,64,66,73],skip:[4,21,27,45,71,74],skip_postprocessor:[21,27],skipkei:45,sklearn:[25,29],slight:75,slightli:29,slimmer:[66,67],small:[68,73],smith:68,snappy_compressed_intentionally_mislabeled_fil:4,so:[29,49,51,65],softmax:1,softmax_output_layer_nam:1,softwar:29,some:[1,29,65,68,71,72,73],someth:[4,68],sort:[25,29,45,66,73],sort_dict:[64,66],sort_kei:45,sort_valu:[66,73],sourc:[12,14,24,67,68],source_fil:24,source_keyword:14,source_nod:14,space:1,spaci:[3,68],spam:68,spars:[4,71,74],special:[17,29],specif:[3,4,5,9,12,19,25,29,45,65,66,68,71,72,73,74,76],specifi:[1,2,3,5,8,9,10,11,14,15,16,17,18,21,25,27,28,29,41,45,48,49,50,61,63,64,65,71,72,74,75],split:[0,1,21,28,64,66,68,73,75],split_predict:28,split_ratio:[1,68],spreadsheet:[8,10,15,17],spreadsheetdata:[10,15,16],spreadsheetdatamixin:[10,15,16,17],sqrt:73,squar:[25,50,73],src:[4,29],ssmith:68,ssn:[2,3,5,66],st:75,stabil:[29,73],stage:2,standard:[68,72,73],standardli:72,start:[2,3,13,28,30,61,68,69,75],stat1:50,stat2:50,stat:[6,32,33,38,43,49,50,64,66,73],state:[28,29,49],statement:75,staticmethod:46,statist:[4,32,34,38,39,48,49,50,64,66,71,74,75,76],statu:[21,22,23,24,26,27,30],std:[66,74],stddev:[38,43,46,51,66,73,74],step:[1,2,29,67],still:[29,66,75],stop:[49,73,76],stop_condition_unique_value_ratio:[49,73],stop_word:[49,73,76],store:[22,29,48,50,74,76],str:[1,4,8,9,10,11,12,13,14,15,16,17,18,19,21,22,23,24,25,26,27,28,29,30,31,33,34,35,36,37,38,39,41,43,44,45,46,47,48,49,50,51,52,53,57,61,65,66,68,73,74,76],str_:28,stream:[5,12,13,71],strength:25,strict:[66,67],string:[1,2,3,4,5,12,13,14,17,25,26,28,29,30,33,34,35,36,37,38,39,43,45,46,47,48,49,50,51,52,53,61,66,68,71,72,73,74,75,76],stringio:[8,12,13,15,16],struct:28,structcharpostprocessor:[3,20,28,68],structcharpreprocessor:[3,20,28,68],structregexpostprocessor:[28,75],structur:[1,4,5,6,7,12,13,25,27,28,29,36,38,43,45,47,48,49,51,63,66,76],structured_mixin:[10,15,16,17],structured_model:20,structured_opt:[1,49,68,71,73,74,75],structured_profil:73,structured_report:73,structuredcol:48,structuredcolprofil:[44,48,65],structureddatalabel:[20,27],structuredopt:[35,48,49],structuredprofil:[8,9,10,14,15,16,18,48,63],sturg:73,sub:29,subclass:[9,13,21,22,23,24,26,27,28,29,30,33,34,37,44,45,46,47,51],subject:[4,29,68],sublass:36,submodul:29,subsequ:[28,73],subset:[25,49,68,73],subtext:75,subtract:[38,43,46,50,51,73],success:41,successfulli:71,sudo:67,suffix:2,suggest:[50,66,75],suggest_pool_s:50,suggested_pool_s:50,suit:68,sum:[29,36,49,51,66,73],sum_predict:36,summari:[1,3,23,24,25,68,74,76],sunita:25,superimpos:[38,43,46,51],supplement:4,suppli:29,support:[5,25,29,68,73,74,76],supports_mask:29,sure:[1,29],swap:[1,3],sy:[1,2,4,31,57,64,68,69,71,72,74,75,76],symbol:29,synchron:29,synthet:[74,76],system:[29,73],t334:3,t555:3,t:[28,29,31,45,50,57,66,67,73,74,76],tabl:[4,29],tabular:[1,3,64,68],take:[3,5,12,25,28,29,45,65,66,68,69,73,74,76],taken:29,tanh:1,target:[14,25],target_keyword:14,target_nam:25,target_nod:14,tcall:3,teach:[2,34,75],techniqu:4,tell:[46,75],tensor:29,tensorflow:[1,29,50,66,67,68,69,74,76],tensorflow_addon:29,tensorshap:29,tensorspec:29,term:[1,3,74,76],terminolog:66,test:[1,2,4,8,12,15,16,38,43,45,46,50,51,64,68,71,72,73,74,75,76],test_csv_data:67,test_label:68,test_profile_build:67,test_train_diff:64,testing_data:[64,74,76],testing_profil:64,testprofil:67,text:[1,3,4,5,6,7,10,20,23,24,25,28,29,32,46,49,66,68,71,73,74,76],text_column_profil:51,text_data:[11,18,66,71],text_fil:[4,66,71],text_sampl:71,textcolumn:51,textdata:[4,11,18,66,71],textiobas:13,textiowrapp:12,textopt:[49,51],textprofil:[35,53],textprofileropt:[49,53],textrm:29,tf:[1,6,20,29,68,69,74,76],tflite:29,tfmot:29,tfood:3,th:73,than:[1,2,12,28,29,36,73,75],thei:[4,22,23,24,26,28,29,30,31,57,68,71,73,74,76],them:[48,64,65,66,68,71,72,73,74,76],themselv:29,theori:4,therefor:12,thereof:29,thi:[1,2,3,4,7,8,9,10,12,14,15,16,18,25,26,28,29,30,34,35,36,37,38,40,42,43,45,46,47,48,49,50,51,61,64,65,66,67,68,69,71,72,73,74,75,76],thing:50,think:68,third:75,those:[2,68],thread_saf:[33,34,36,37,38,43,46,47,51],three:[68,73],threshold:[1,28,29,49,50,73],through:[5,12,34,68,71],throught:2,thrown:1,thu:29,thyme:68,ti:3,tie:28,time:[3,12,25,29,33,34,36,37,38,39,43,46,47,50,51,61,64,66,72,73,74,75,76],time_axi:72,time_index:72,time_offset:72,time_width:72,timedelta:50,titan:4,titl:[65,73,74],tjohn:3,tneed:3,tnot:3,to_datetim:72,to_fil:72,to_seri:45,togeth:[21,27,28,50,66,69,73,74,76],toggl:[50,66,71,73],token:18,tolist:[1,68],too:[2,50,66,67],took:73,top:[34,36,49,73],top_k:36,top_k_categori:[49,73],top_k_char:[49,73],top_k_mod:73,top_k_word:[49,73],top_profil:50,topolog:29,total:[5,12,25,29,73],tpleas:3,trace:29,track:29,train:[1,21,22,23,24,27,29,63,64,66,74,76],train_data:[22,23,24],train_structured_label:[3,27,68],trainabl:[1,3,21,27,29,68],trainable_vari:29,trainable_weight:29,trainabledatalabel:[3,21,27],training_data:[74,76],training_profil:64,transfer:63,transform:29,travers:34,treat:29,tree:42,true_char_level:[66,73,76],true_entities_in_index:29,true_positive_dict:2,tssn:3,tsv:[4,66,74,76],tupl:[1,12,22,23,24,25,28,29,45,48,50],turn:[29,49,68,71,73,74,75,76],tutori:[4,64],two:[3,4,28,29,36,37,38,39,43,46,47,48,50,51,52,53,64,66,69,71,72,73,74,76],txt:[1,4,42,66,67,71,73,74,76],tye:17,type:[1,3,5,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,40,41,43,44,46,47,48,49,50,51,52,53,61,63,66,68,71,72,73],typeerror:[29,45],typeguard:[12,13],typic:[5,29,50,68],typing_extens:[12,13],u:34,unalik:[34,66,73],unchang:[50,73],unclean:46,undefin:25,undefinedmetricwarn:25,under:29,underli:66,understand:73,unicod:12,unicode_to_str:12,uniform:64,unik:34,union:[8,9,10,11,12,13,14,15,16,18,21,22,23,24,25,26,27,28,30,39,48,49,50],uniqu:[1,4,29,34,49,50,68,73,74,76],unique_count:[34,49,66,73,74],unique_ratio:[34,66,73,74],unique_row_ratio:[66,73,74],uniquecountopt:[49,73],unit:[1,50,67],unittest:67,unknown:[1,3,28,29,66,68],unless:[29,72],unlik:[29,34],unnest:41,unspecifi:73,unstructur:[4,6,27,28,32,48,49,63,74,75],unstructured_labeler_profil:52,unstructured_model:20,unstructured_opt:[49,73,76],unstructured_profil:73,unstructured_report:73,unstructured_text_profil:53,unstructuredcompil:35,unstructureddatalabel:[20,27],unstructuredlabelerprofil:[35,52],unstructuredopt:49,unstructuredprofil:48,unstuctur:48,until:[28,73],unusu:29,unweight:25,up:[12,63],updat:[1,3,25,29,33,34,35,36,37,38,39,43,46,47,48,49,50,51,52,53,63,65],update_column_profil:48,update_d:50,update_profil:[35,48,66,71,73,74,76],update_st:29,upon:[21,26,27,28,29,30],upper:75,uppercas:75,uppercase_char:75,upstream:29,url:[3,4,12,66,68],url_as_str:12,url_to_byt:12,us:[1,3,4,8,10,12,13,14,15,16,18,20,21,22,23,24,25,26,27,28,29,30,36,44,45,48,49,50,58,63,64,65,66,67,68,71,73,74,76],us_stat:[3,66],usag:[22,28,63],use_word_level_argmax:[3,28,68],user:[1,2,3,4,5,8,10,15,16,18,21,22,23,24,25,27,30,31,48,57,64,66,68,69,71,73,74,76],user_set_histogram_bin:51,userdata1:[4,71],userdata1_intentionally_mislabled_fil:[4,71],usr:67,utf:[4,12,14,73,74],util:[2,3,4,6,7,19,20,32,35,48,55,66,68,69,70,73,75],utilizng:75,uuid:[3,66],v0:29,v1:[68,69,74,76],v:[50,67],val:[35,38,43,46,49,51,53],val_data:[22,23,24],valid:[0,1,3,5,6,8,10,12,15,16,21,22,23,24,27,49,66,70,71,72,73,74,76],validation_report:[74,76],validation_split:[3,21,68],valu:[1,2,4,10,12,13,19,21,22,23,24,25,26,27,28,29,30,33,34,35,36,37,38,39,43,46,47,48,49,50,51,66,68,72,73,74,75,76],valuabl:73,value1:[3,44],value2:[3,44],value3:3,value_label_df:1,valueerror:[1,12,29,44,45],vari:73,variabl:[27,29,34,38,43,46,48,49,51,65],variable_dtyp:29,variableaggregationv2:29,variablesynchron:29,varianc:[29,38,43,46,49,51,64,66,71,73,74],variat:34,variou:[5,11,29],vartyp:49,vast:73,ve:74,vector:29,venv3:67,verbos:[19,21,22,23,24,26,27,29,30],verifi:71,verify_ssl:5,version:[6,29,42,44,45,67,68,70,72,74,76],versu:25,via:[2,4,5,8,10,12,15,16,18,22,23,24,26,29,30,66,67,73,74,75,76],view:[1,2,4,50,64,68,69,71,72,74,75,76],virtual:[22,28,67],virtualenv:67,visit:66,visual:74,vocab:[49,66,73,74,76],vocab_count:[66,73],vocabulari:1,vol:34,vote:[28,36,75],vs1:4,vs2:4,vs:[28,63],w:[3,29,30,68],wa:[4,28,29,31,44,57,64,68,73,75],wai:[29,34,68,73],walk:71,want:[4,12,22,23,24,26,27,30,49,64,65,66,67,71],warn:[19,21,25,27,29,31,49,50,57],warn_for:25,warn_missing_modul:[31,57],warn_on_profil:50,warranti:29,wb:72,we:[1,2,4,12,29,34,49,64,68,71,72,73,74,75,76],weight:[1,3,21,22,23,24,25,26,29,30],welch:73,well:[3,12,29,71,73,74,75,76],went:4,were:[4,28,29,73,75],what:[2,3,4,12,49,50,63,74,75,76],when:[1,3,4,22,23,24,25,26,28,29,30,36,44,48,49,64,66,72,73,76],where:[1,2,3,12,21,22,23,24,26,27,28,29,30,34,48,73,75],whether:[4,12,13,14,15,21,22,23,24,26,27,28,29,30,49,71,73],which:[1,2,3,4,5,8,9,10,12,14,15,16,18,21,25,28,29,34,36,37,38,43,45,46,47,49,50,51,66,68,71,72,73,74,75,76],whitespac:[45,75],whl:67,whole:[22,23,24,26,30],whose:29,why:75,wide:[74,76],width:68,wiki:50,wikipedia:[25,50],wise:61,wish:29,with_name_scop:29,within:[4,12,19,21,27,28,29,30,36,38,43,47,49,51,52,65,73,75],without:[21,27,29,61],word:[28,49,66,68,73,75,76],word_count:[66,73,76],word_level:[28,66,73,76],word_level_min_perc:28,work:[1,14,29,49,64,65,66,71,72,73,74,76],would:[1,3,29,45,68,73,75],wrap:[7,29],wrapper:[12,27],write:[29,45],wrong:4,www:[29,50],x01:28,x1:50,x1b:4,x2:[50,67],x:[1,3,4,12,21,29,38,43,46,51,61,67,68,73],y1:50,y2:[50,67],y:[1,3,4,21,67,68],y_:25,y_pred:[25,29],y_true:[25,29],yate:50,yet:29,yield:45,you:[3,4,12,22,23,24,26,27,29,30,45,49,61,64,65,66,67,68,71,72,73,74,76],you_websit:5,your:[4,29,68,72,74],your_data:3,your_fil:[3,5,66,73],z2:67,z:[4,67,75],za:75,zero:[1,29,38,43,46,51,73],zoo:[21,27]},titles:["API","Adding new model to the existing DataLabeler pipeline","ColumnName Labeler Tutorial","Labeler (Sensitive Data)","Intro to Data Readers","Data Readers","Dataprofiler","Data Readers","Avro Data","Base Data","CSV Data","Data","Data Utils","Filepath Or Buffer","Graph Data","JSON Data","Parquet Data","Structured Mixins","Text Data","Dp Logging","Labelers","Base Data Labeler","Base Model","Char Load Tf Model","Character Level Cnn Model","Classification Report Utils","Column Name Model","Data Labelers","Data Processing","Labeler Utils","Regex Model","Utils","Profilers","Base Column Profilers","Categorical Column Profile","Column Profile Compilers","Data Labeler Column Profile","Datetime Column Profile","Float Column Profile","Graph Profiler","Helpers","Report Helpers","Histogram Utils","Int Column Profile","JSON Decoder","JSON Encoder","Numerical Column Stats","Order Column Profile","Profile Builder","Profiler Options","Profiler Utils","Text Column Profile","Unstructured Labeler Profile","Unstructured Text Profile","Utils","Reports","Graphs","Utils","Rng Utils","Settings","Validators","Base Validators","Version","Examples","Graph Pipeline Demo","Graphs","Data Profiler | What\u2019s in your data?","Install","Sensitive Data Detection with the Labeler","Merge List of Profiles","dataprofiler","Data Profiler - What\u2019s in your data?","Dataloader with Popmon Reports","Profiler","Structured Profilers","Building a Regex Data Labeler w/ your own Regex","Unstructured Profilers"],titleterms:{"char":23,"class":[65,71],"float":38,"import":[65,69],"int":43,"new":[1,2,3,75],A:4,Or:13,access:4,ad:1,adjust:75,after:4,alter:4,an:[3,65],api:0,attribut:4,automat:4,avro:8,avrodata:5,base:[9,21,22,33,61],basic:[63,71],both:72,buffer:13,build:[3,67,68,75],builder:48,categor:34,charact:[1,24],check:4,classif:25,cnn:24,column:[2,4,26,33,34,35,36,37,38,43,46,47,51],columnnam:2,comparison:72,compil:35,compon:3,conclus:[64,71],content:0,csv:10,csvdata:[4,5],data:[2,3,4,5,7,8,9,10,11,12,14,15,16,18,21,27,28,36,64,65,66,68,69,71,72,73,74,75,76],data_format:4,datafram:[4,66,73],datalabel:[1,75],dataload:72,dataprofil:[6,70,72],dataset:1,datetim:37,decod:44,deeper:4,delimit:[4,66,73],demo:64,depend:73,descript:73,detect:[4,68],differ:[64,73,74,76],dive:4,dp:19,encod:45,entiti:3,exampl:[63,65,72],exist:[1,2,3,75],extend:3,file:[4,66,73],filepath:13,filetyp:[66,73],floatcolumn:65,format:66,from:[65,67,68],futur:[2,75],get:66,graph:[14,39,56,64,65,66,73,74],graphdata:[4,5],ground:68,header:4,helper:[40,41],histogram:[42,65],how:72,identifi:3,implement:1,individu:65,instal:[67,72],intcolumn:65,integr:[1,75],intro:4,is_match:4,json:[15,44,45],jsondata:5,label:[2,3,20,21,27,29,36,52,66,68,75],learn:[3,68],level:[1,24],list:69,load:[2,3,4,23,64,66,68,73,74,75,76],load_from_librari:2,load_with_compon:2,log:19,lstm:1,matrix:65,merg:[66,69,71,73,74,76],miss:65,mixin:17,model:[1,2,3,22,23,24,26,30],modul:[6,7,20,32,40,55,60],name:[2,26],need:65,numer:46,option:[4,49,71,73,74,76],order:[47,73],own:[3,75],panda:[4,66,73],paramet:2,parquet:16,parquetdata:5,pipelin:[1,64],plot:65,popmon:72,postprocessor:[3,75],pre:[2,75],predict:[2,68,75],preprocessor:3,process:28,profil:[32,33,34,35,36,37,38,39,43,47,48,49,50,51,52,53,64,66,69,71,73,74,75,76],properti:75,purpos:66,quotechar:4,read:4,reader:[4,5,7,71],regex:[30,75],reload:4,replac:[2,75],report:[25,41,55,72,73,74,76],rng:58,rule:75,run:69,s:[66,71,72,75],sampl:73,save:[2,64,68,73,74,75,76],scratch:[67,68],seed:73,select:4,sensit:[3,68],set:[59,73,75],setup:69,size:73,snappi:67,specifi:[4,66,73],start:66,stat:46,statist:73,structur:[3,17,68,71,73,74,75],structuredprofil:[65,75],support:66,test:67,text:[18,51,53],textdata:5,tf:23,train:[3,68],transfer:[3,68],tutori:2,type:[4,74,76],unstructur:[3,52,53,66,68,71,73,76],up:68,updat:[66,71,73,74,76],url:5,us:[2,5,72,75],usag:[71,72],util:[12,25,29,31,42,50,54,57,58],valid:[60,61],valu:65,version:[62,66],vs:[71,73],w:75,we:65,what:[65,66,68,71],your:[3,65,66,71,73,75]}})
\ No newline at end of file
diff --git a/docs/0.10.3/html/unstructured_profiler_example.html b/docs/0.10.3/html/unstructured_profiler_example.html
new file mode 100644
index 000000000..b98d18353
--- /dev/null
+++ b/docs/0.10.3/html/unstructured_profiler_example.html
@@ -0,0 +1,835 @@
+<!doctype html>
+<html class="no-js">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="next" title="Graph Pipeline Demo" href="graph_data_demo.html" /><link rel="prev" title="Structured Profilers" href="profiler_example.html" />
+
+    <link rel="shortcut icon" href="_static/DataProfilerLogoLightTheme.png"/><meta name="generator" content="sphinx-4.1.2, furo 2021.07.05.beta38"/>
+        <title>Unstructured Profilers - Data Profiler v0.10.3</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css" />
+    <link rel="stylesheet" type="text/css" href="_static/custom.css" />
+    
+
+
+<style>
+  :root {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media (prefers-color-scheme: dark) {
+    :root {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+  }
+
+  /* For allowing end-user-specific overrides */
+  .override-light {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  .override-dark {
+    --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+  }
+</style><link media="(prefers-color-scheme: dark)" rel="stylesheet" href="_static/pygments_dark.css"></head>
+  <body dir="">
+    
+<svg xmlns="http://www.w3.org/2000/svg" style="display: none;">
+  <symbol id="svg-toc" viewBox="0 0 24 24">
+    <title>Contents</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke-width="1.5" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round">
+      <path stroke="none" d="M0 0h24v24H0z"/>
+      <line x1="4" y1="6" x2="20" y2="6" />
+      <line x1="10" y1="12" x2="20" y2="12" />
+      <line x1="6" y1="18" x2="20" y2="18" />
+    </svg>
+  </symbol>
+  <symbol id="svg-menu" viewBox="0 0 24 24">
+    <title>Menu</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-menu">
+      <line x1="3" y1="12" x2="21" y2="12"></line>
+      <line x1="3" y1="6" x2="21" y2="6"></line>
+      <line x1="3" y1="18" x2="21" y2="18"></line>
+    </svg>
+  </symbol>
+  <symbol id="svg-arrow-right" viewBox="0 0 24 24">
+    <title>Expand</title>
+    <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none"
+      stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+      class="feather feather-chevron-right">
+      <polyline points="9 18 15 12 9 6"></polyline>
+    </svg>
+  </symbol>
+</svg>
+
+<input type="checkbox" class="sidebar-toggle" name="__navigation" id="__navigation">
+<input type="checkbox" class="sidebar-toggle" name="__toc" id="__toc">
+<label class="overlay sidebar-overlay" for="__navigation"></label>
+<label class="overlay toc-overlay" for="__toc"></label>
+
+
+
+<div class="page">
+  <header class="mobile-header">
+    <div class="header-left">
+      <label class="nav-overlay-icon" for="__navigation">
+        <i class="icon"><svg><use href="#svg-menu"></use></svg></i>
+      </label>
+    </div>
+    <div class="header-center">
+      <a href="index.html"><div class="brand"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></div></a>
+    </div>
+    <div class="header-right">
+      <label class="toc-overlay-icon toc-header-icon" for="__toc">
+        <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+      </label>
+    </div>
+  </header>
+  <aside class="sidebar-drawer">
+    <div class="sidebar-container">
+      
+      <div class="sidebar-sticky"><a class="sidebar-brand" href="index.html">
+  
+  <div class="sidebar-logo-container">
+    <img class="sidebar-logo only-light" src="_static/images/DataProfilerLogoLightThemeLong.png" alt="Light Logo"/>
+    <img class="sidebar-logo only-dark" src="_static/images/DataProfilerDarkLogoLong.png" alt="Dark Logo"/>
+  </div>
+  
+  <span class="sidebar-brand-text"><div class='hidden'>Data Profiler</div> <div class='version'> v0.10.3</div></span>
+  
+</a><form class="sidebar-search-container" method="get" action="search.html">
+  <input class="sidebar-search" placeholder=Search name="q">
+  <input type="hidden" name="check_keywords" value="yes">
+  <input type="hidden" name="area" value="default">
+</form><div class="sidebar-scroll"><div class="sidebar-tree">
+  <p class="caption" role="heading"><span class="caption-text">Getting Started:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="index.html">Intro</a></li>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_readers.html">Data Readers</a></li>
+<li class="toctree-l1"><a class="reference internal" href="profiler.html">Profiler</a></li>
+<li class="toctree-l1"><a class="reference internal" href="data_labeling.html">Labeler (Sensitive Data)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="graphs.html">Graphs</a></li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">User Guide:</span></p>
+<ul class="current">
+<li class="toctree-l1 current has-children"><a class="reference internal" href="examples.html">Examples</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label for="toctree-checkbox-1"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul class="current">
+<li class="toctree-l2"><a class="reference internal" href="overview.html">Overview of Data Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="data_reader.html">Data Reader</a></li>
+<li class="toctree-l2"><a class="reference internal" href="profiler_example.html">Structured Profiler</a></li>
+<li class="toctree-l2 current current-page"><a class="current reference internal" href="#">Unstructured Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="graph_data_demo.html">Graph Profiler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="labeler.html">Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="add_new_model_to_data_labeler.html">Adding Models to a Labeler Pipeline</a></li>
+<li class="toctree-l2"><a class="reference internal" href="regex_labeler_from_scratch.html">Creating a Regex Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="column_name_labeler_example.html">Creating a ColumnName Labeler</a></li>
+<li class="toctree-l2"><a class="reference internal" href="merge_profile_list.html">Merge Profile List</a></li>
+<li class="toctree-l2"><a class="reference internal" href="popmon_dp_loader_example.html">Dataloader with Popmon Reports</a></li>
+</ul>
+</li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="API.html">API</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label for="toctree-checkbox-2"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.data_readers.html">Data Readers</a><input class="toctree-checkbox" id="toctree-checkbox-3" name="toctree-checkbox-3" type="checkbox"/><label for="toctree-checkbox-3"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.avro_data.html">Avro Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.base_data.html">Base Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.csv_data.html">CSV Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data.html">Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.data_utils.html">Data Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.filepath_or_buffer.html">Filepath Or Buffer</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.graph_data.html">Graph Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.json_data.html">JSON Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.parquet_data.html">Parquet Data</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.structured_mixins.html">Structured Mixins</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.data_readers.text_data.html">Text Data</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.profilers.html">Profilers</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label for="toctree-checkbox-4"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3 has-children"><a class="reference internal" href="dataprofiler.profilers.helpers.html">Helpers</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label for="toctree-checkbox-5"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l4"><a class="reference internal" href="dataprofiler.profilers.helpers.report_helpers.html">Report Helpers</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.base_column_profilers.html">Base Column Profilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.categorical_column_profile.html">Categorical Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.column_profile_compilers.html">Column Profile Compilers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.data_labeler_column_profile.html">Data Labeler Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.datetime_column_profile.html">Datetime Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.float_column_profile.html">Float Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.graph_profiler.html">Graph Profiler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.histogram_utils.html">Histogram Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.int_column_profile.html">Int Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_decoder.html">JSON Decoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.json_encoder.html">JSON Encoder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.numerical_column_stats.html">Numerical Column Stats</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.order_column_profile.html">Order Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profile_builder.html">Profile Builder</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_options.html">Profiler Options</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.profiler_utils.html">Profiler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.text_column_profile.html">Text Column Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_labeler_profile.html">Unstructured Labeler Profile</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.profilers.unstructured_text_profile.html">Unstructured Text Profile</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.labelers.html">Labelers</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label for="toctree-checkbox-6"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_data_labeler.html">Base Data Labeler</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.base_model.html">Base Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.char_load_tf_model.html">Char Load Tf Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.character_level_cnn_model.html">Character Level Cnn Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.classification_report_utils.html">Classification Report Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.column_name_model.html">Column Name Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_labelers.html">Data Labelers</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.data_processing.html">Data Processing</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.labeler_utils.html">Labeler Utils</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.regex_model.html">Regex Model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.labelers.utils.html">Utils</a></li>
+</ul>
+</li>
+<li class="toctree-l2 has-children"><a class="reference internal" href="dataprofiler.validators.html">Validators</a><input class="toctree-checkbox" id="toctree-checkbox-7" name="toctree-checkbox-7" type="checkbox"/><label for="toctree-checkbox-7"><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
+<li class="toctree-l3"><a class="reference internal" href="dataprofiler.validators.base_validators.html">Base Validators</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<p class="caption" role="heading"><span class="caption-text">Community:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/releases">Changelog</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/issues/new/choose">Feedback</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler">GitHub</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://github.com/capitalone/DataProfiler/blob/main/.github/CONTRIBUTING.md">Contributing</a></li>
+</ul>
+
+</div>
+</div>
+      </div>
+      
+    </div>
+  </aside>
+  <main class="main">
+    <div class="content">
+      <article role="main">
+        <label class="toc-overlay-icon toc-content-icon" for="__toc">
+          <i class="icon"><svg><use href="#svg-toc"></use></svg></i>
+        </label>
+        
+<style>
+/* CSS for nbsphinx extension */
+
+/* remove conflicting styling from Sphinx themes */
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt *,
+div.nbinput.container div.input_area pre,
+div.nboutput.container div.output_area pre,
+div.nbinput.container div.input_area .highlight,
+div.nboutput.container div.output_area .highlight {
+    border: none;
+    padding: 0;
+    margin: 0;
+    box-shadow: none;
+}
+
+div.nbinput.container > div[class*=highlight],
+div.nboutput.container > div[class*=highlight] {
+    margin: 0;
+}
+
+div.nbinput.container div.prompt *,
+div.nboutput.container div.prompt * {
+    background: none;
+}
+
+div.nboutput.container div.output_area .highlight,
+div.nboutput.container div.output_area pre {
+    background: unset;
+}
+
+div.nboutput.container div.output_area div.highlight {
+    color: unset;  /* override Pygments text color */
+}
+
+/* avoid gaps between output lines */
+div.nboutput.container div[class*=highlight] pre {
+    line-height: normal;
+}
+
+/* input/output containers */
+div.nbinput.container,
+div.nboutput.container {
+    display: -webkit-flex;
+    display: flex;
+    align-items: flex-start;
+    margin: 0;
+    width: 100%;
+}
+@media (max-width: 540px) {
+    div.nbinput.container,
+    div.nboutput.container {
+        flex-direction: column;
+    }
+}
+
+/* input container */
+div.nbinput.container {
+    padding-top: 5px;
+}
+
+/* last container */
+div.nblast.container {
+    padding-bottom: 5px;
+}
+
+/* input prompt */
+div.nbinput.container div.prompt pre {
+    color: #307FC1;
+}
+
+/* output prompt */
+div.nboutput.container div.prompt pre {
+    color: #BF5B3D;
+}
+
+/* all prompts */
+div.nbinput.container div.prompt,
+div.nboutput.container div.prompt {
+    width: 4.5ex;
+    padding-top: 5px;
+    position: relative;
+    user-select: none;
+}
+
+div.nbinput.container div.prompt > div,
+div.nboutput.container div.prompt > div {
+    position: absolute;
+    right: 0;
+    margin-right: 0.3ex;
+}
+
+@media (max-width: 540px) {
+    div.nbinput.container div.prompt,
+    div.nboutput.container div.prompt {
+        width: unset;
+        text-align: left;
+        padding: 0.4em;
+    }
+    div.nboutput.container div.prompt.empty {
+        padding: 0;
+    }
+
+    div.nbinput.container div.prompt > div,
+    div.nboutput.container div.prompt > div {
+        position: unset;
+    }
+}
+
+/* disable scrollbars on prompts */
+div.nbinput.container div.prompt pre,
+div.nboutput.container div.prompt pre {
+    overflow: hidden;
+}
+
+/* input/output area */
+div.nbinput.container div.input_area,
+div.nboutput.container div.output_area {
+    -webkit-flex: 1;
+    flex: 1;
+    overflow: auto;
+}
+@media (max-width: 540px) {
+    div.nbinput.container div.input_area,
+    div.nboutput.container div.output_area {
+        width: 100%;
+    }
+}
+
+/* input area */
+div.nbinput.container div.input_area {
+    border: 1px solid #e0e0e0;
+    border-radius: 2px;
+    /*background: #f5f5f5;*/
+}
+
+/* override MathJax center alignment in output cells */
+div.nboutput.container div[class*=MathJax] {
+    text-align: left !important;
+}
+
+/* override sphinx.ext.imgmath center alignment in output cells */
+div.nboutput.container div.math p {
+    text-align: left;
+}
+
+/* standard error */
+div.nboutput.container div.output_area.stderr {
+    background: #fdd;
+}
+
+/* ANSI colors */
+.ansi-black-fg { color: #3E424D; }
+.ansi-black-bg { background-color: #3E424D; }
+.ansi-black-intense-fg { color: #282C36; }
+.ansi-black-intense-bg { background-color: #282C36; }
+.ansi-red-fg { color: #E75C58; }
+.ansi-red-bg { background-color: #E75C58; }
+.ansi-red-intense-fg { color: #B22B31; }
+.ansi-red-intense-bg { background-color: #B22B31; }
+.ansi-green-fg { color: #00A250; }
+.ansi-green-bg { background-color: #00A250; }
+.ansi-green-intense-fg { color: #007427; }
+.ansi-green-intense-bg { background-color: #007427; }
+.ansi-yellow-fg { color: #DDB62B; }
+.ansi-yellow-bg { background-color: #DDB62B; }
+.ansi-yellow-intense-fg { color: #B27D12; }
+.ansi-yellow-intense-bg { background-color: #B27D12; }
+.ansi-blue-fg { color: #208FFB; }
+.ansi-blue-bg { background-color: #208FFB; }
+.ansi-blue-intense-fg { color: #0065CA; }
+.ansi-blue-intense-bg { background-color: #0065CA; }
+.ansi-magenta-fg { color: #D160C4; }
+.ansi-magenta-bg { background-color: #D160C4; }
+.ansi-magenta-intense-fg { color: #A03196; }
+.ansi-magenta-intense-bg { background-color: #A03196; }
+.ansi-cyan-fg { color: #60C6C8; }
+.ansi-cyan-bg { background-color: #60C6C8; }
+.ansi-cyan-intense-fg { color: #258F8F; }
+.ansi-cyan-intense-bg { background-color: #258F8F; }
+.ansi-white-fg { color: #C5C1B4; }
+.ansi-white-bg { background-color: #C5C1B4; }
+.ansi-white-intense-fg { color: #A1A6B2; }
+.ansi-white-intense-bg { background-color: #A1A6B2; }
+
+.ansi-default-inverse-fg { color: #FFFFFF; }
+.ansi-default-inverse-bg { background-color: #000000; }
+
+.ansi-bold { font-weight: bold; }
+.ansi-underline { text-decoration: underline; }
+
+
+div.nbinput.container div.input_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight] > pre,
+div.nboutput.container div.output_area div[class*=highlight].math,
+div.nboutput.container div.output_area.rendered_html,
+div.nboutput.container div.output_area > div.output_javascript,
+div.nboutput.container div.output_area:not(.rendered_html) > img{
+    padding: 5px;
+    margin: 0;
+}
+
+/* fix copybtn overflow problem in chromium (needed for 'sphinx_copybutton') */
+div.nbinput.container div.input_area > div[class^='highlight'],
+div.nboutput.container div.output_area > div[class^='highlight']{
+    overflow-y: hidden;
+}
+
+/* hide copybtn icon on prompts (needed for 'sphinx_copybutton') */
+.prompt a.copybtn {
+    display: none;
+}
+
+/* Some additional styling taken form the Jupyter notebook CSS */
+div.rendered_html table {
+  border: none;
+  border-collapse: collapse;
+  border-spacing: 0;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+div.rendered_html thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+div.rendered_html tr,
+div.rendered_html th,
+div.rendered_html td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+div.rendered_html th {
+  font-weight: bold;
+}
+div.rendered_html tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+div.rendered_html tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+</style>
+<p><a class="reference external" href="https://github.com/capitalone/rubicon/tree/main/notebooks/unstructured_profiler_example.nblink">View this notebook on GitHub</a></p>
+<section id="Unstructured-Profilers">
+<h1>Unstructured Profilers<a class="headerlink" href="#Unstructured-Profilers" title="Permalink to this headline">¶</a></h1>
+<p><strong>Data profiling</strong> - <em>is the process of examining a dataset and collecting statistical or informational summaries about said dataset.</em></p>
+<p>The Profiler class inside the DataProfiler is designed to generate <em>data profiles</em> via the Profiler class, which ingests either a Data class or a Pandas DataFrame.</p>
+<p>Currently, the Data class supports loading the following file formats:</p>
+<ul class="simple">
+<li><p>Any delimited (CSV, TSV, etc.)</p></li>
+<li><p>JSON object</p></li>
+<li><p>Avro</p></li>
+<li><p>Parquet</p></li>
+<li><p>Text files</p></li>
+<li><p>Pandas Series/Dataframe</p></li>
+</ul>
+<p>Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.</p>
+<p>This example will look at specifically the unstructured data types for unstructured profiling. This means that only text files, lists of strings, single column pandas dataframes/series, or DataProfile Data objects in string format will work with the unstructured profiler.</p>
+<section id="Reporting">
+<h2>Reporting<a class="headerlink" href="#Reporting" title="Permalink to this headline">¶</a></h2>
+<p>One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.</p>
+<p>In terms of reporting, there are multiple reporting options:</p>
+<ul class="simple">
+<li><p><strong>Pretty</strong>: Floats are rounded to four decimal places, and lists are shortened.</p></li>
+<li><p><strong>Compact</strong>: Similar to pretty, but removes detailed statistics</p></li>
+<li><p><strong>Serializable</strong>: Output is json serializable and not prettified</p></li>
+<li><p><strong>Flat</strong>: Nested Output is returned as a flattened dictionary</p></li>
+</ul>
+<p>The <strong>Pretty</strong> and <strong>Compact</strong> reports are the two most commonly used reports and includes <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> and <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> for the given dataset. <code class="docutils literal notranslate"><span class="pre">global_stats</span></code> contains overall properties of the data such as samples used and file encoding. <code class="docutils literal notranslate"><span class="pre">data_stats</span></code> contains specific properties and statistics for each text sample.</p>
+<p>For unstructured profiles, the report looks like this:</p>
+<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>"global_stats": {
+    "samples_used": int,
+    "empty_line_count": int,
+    "file_type": string,
+    "encoding": string
+},
+"data_stats": {
+    "data_label": {
+        "entity_counts": {
+            "word_level": dict(int),
+            "true_char_level": dict(int),
+            "postprocess_char_level": dict(int)
+        },
+        "times": dict(float)
+    },
+    "statistics": {
+        "vocab": list(char),
+        "words": list(string),
+        "word_count": dict(int),
+        "times": dict(float)
+    }
+}
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>import os
+import sys
+import json
+
+try:
+    sys.path.insert(0, '..')
+    import dataprofiler as dp
+except ImportError:
+    import dataprofiler as dp
+
+data_path = "../dataprofiler/tests/data"
+
+# remove extra tf loggin
+import tensorflow as tf
+tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
+</pre></div>
+</div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(os.path.join(data_path, "txt/discussion_reddit.txt"))
+profile = dp.Profiler(data)
+
+report  = profile.report(report_options={"output_format": "pretty"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-Type">
+<h2>Profiler Type<a class="headerlink" href="#Profiler-Type" title="Permalink to this headline">¶</a></h2>
+<p>It should be noted, in addition to reading the input data from text files, DataProfiler allows the input data as a pandas dataframe, a pandas series, a list, and Data objects (when an unstructured format is selected) if the Profiler is explicitly chosen as unstructured.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># run data profiler and get the report
+import pandas as pd
+data = dp.Data(os.path.join(data_path, "csv/SchoolDataSmall.csv"), options={"data_format": "records"})
+profile = dp.Profiler(data, profiler_type='unstructured')
+
+report  = profile.report(report_options={"output_format":"pretty"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Profiler-options">
+<h2>Profiler options<a class="headerlink" href="#Profiler-options" title="Permalink to this headline">¶</a></h2>
+<p>The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the <code class="docutils literal notranslate"><span class="pre">ProfilerOptions</span></code> class.</p>
+<p>For example, if a user doesn’t require vocab count information they may desire to turn off the word count functionality.</p>
+<p>Below, let’s remove the vocab count and set the stop words.</p>
+<p>Full list of options in the Profiler section of the <a class="reference external" href="https://capitalone.github.io/DataProfiler/profile_options.html">DataProfiler documentation</a>.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>data = dp.Data(os.path.join(data_path, "txt/discussion_reddit.txt"))
+
+profile_options = dp.ProfilerOptions()
+
+# Setting multiple options via set
+profile_options.set({ "*.vocab.is_enabled": False, "*.is_case_sensitive": True })
+
+# Set options via directly setting them
+profile_options.unstructured_options.text.stop_words = ["These", "are", "stop", "words"]
+
+profile = dp.Profiler(data, options=profile_options)
+report  = profile.report(report_options={"output_format": "compact"})
+
+# Print the report
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Updating-Profiles">
+<h2>Updating Profiles<a class="headerlink" href="#Updating-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load and profile a CSV file
+data = dp.Data(os.path.join(data_path, "txt/sentence-3x.txt"))
+profile = dp.Profiler(data)
+
+# Update the profile with new data:
+new_data = dp.Data(os.path.join(data_path, "txt/sentence-3x.txt"))
+profile.update_profile(new_data)
+
+# Take a peek at the data
+print(data.data)
+print(new_data.data)
+
+# Report the compact version of the profile
+report  = profile.report(report_options={"output_format": "compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Merging-Profiles">
+<h2>Merging Profiles<a class="headerlink" href="#Merging-Profiles" title="Permalink to this headline">¶</a></h2>
+<p>Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple <code class="docutils literal notranslate"><span class="pre">+</span></code> command: <code class="docutils literal notranslate"><span class="pre">profile3</span> <span class="pre">=</span> <span class="pre">profile1</span> <span class="pre">+</span> <span class="pre">profile2</span></code></p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load a CSV file with a schema
+data1 = dp.Data(os.path.join(data_path, "txt/sentence-3x.txt"))
+profile1 = dp.Profiler(data1)
+
+# Load another CSV file with the same schema
+data2 = dp.Data(os.path.join(data_path, "txt/sentence-3x.txt"))
+profile2 = dp.Profiler(data2)
+
+# Merge the profiles
+profile3 = profile1 + profile2
+
+# Report the compact version of the profile
+report  = profile3.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>As you can see, the <code class="docutils literal notranslate"><span class="pre">update_profile</span></code> function and the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator function similarly. The reason the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator is important is that it’s possible to <em>save and load profiles</em>, which we cover next.</p>
+</section>
+<section id="Differences-in-Data">
+<h2>Differences in Data<a class="headerlink" href="#Differences-in-Data" title="Permalink to this headline">¶</a></h2>
+<p>Can be applied to both structured and unstructured datasets.</p>
+<p>Such reports can provide details on the differences between training and validation data like in this pseudo example:</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">profiler_training</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">training_data</span><span class="p">)</span>
+<span class="n">profiler_testing</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Profiler</span><span class="p">(</span><span class="n">testing_data</span><span class="p">)</span>
+
+<span class="n">validation_report</span> <span class="o">=</span> <span class="n">profiler_training</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">profiler_testing</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span>from pprint import pprint
+
+# unstructured differences example
+data_split_differences = profile1.diff(profile2)
+pprint(data_split_differences)
+</pre></div>
+</div>
+</div>
+</section>
+<section id="Saving-and-Loading-a-Profile">
+<h2>Saving and Loading a Profile<a class="headerlink" href="#Saving-and-Loading-a-Profile" title="Permalink to this headline">¶</a></h2>
+<p>Not only can the Profiler create and update profiles, it’s also possible to save, load then manipulate profiles.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load data
+data = dp.Data(os.path.join(data_path, "txt/sentence-3x.txt"))
+
+# Generate a profile
+profile = dp.Profiler(data)
+
+# Save a profile to disk for later (saves as pickle file)
+profile.save(filepath="my_profile.pkl")
+
+# Load a profile from disk
+loaded_profile = dp.Profiler.load("my_profile.pkl")
+
+# Report the compact version of the profile
+report = profile.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+<p>With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more.</p>
+<div class="nbinput nblast docutils container">
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[ ]:
+</pre></div>
+</div>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre>
+<span></span># Load a multiple files via the Data class
+filenames = ["txt/sentence-3x.txt",
+             "txt/sentence.txt"]
+data_objects = []
+for filename in filenames:
+    data_objects.append(dp.Data(os.path.join(data_path, filename)))
+
+print(data_objects)
+# Generate and save profiles
+for i in range(len(data_objects)):
+    profile = dp.Profiler(data_objects[i])
+    report = profile.report(report_options={"output_format":"compact"})
+    print(json.dumps(report, indent=4))
+    profile.save(filepath="data-"+str(i)+".pkl")
+
+
+# Load profiles and add them together
+profile = None
+for i in range(len(data_objects)):
+    if profile is None:
+        profile = dp.Profiler.load("data-"+str(i)+".pkl")
+    else:
+        profile += dp.Profiler.load("data-"+str(i)+".pkl")
+
+
+# Report the compact version of the profile
+report = profile.report(report_options={"output_format":"compact"})
+print(json.dumps(report, indent=4))
+</pre></div>
+</div>
+</div>
+</section>
+</section>
+
+      </article>
+      <footer>
+        
+        <div class="related-pages">
+          <a class="next-page" href="graph_data_demo.html">
+              <div class="page-info">
+                <div class="context">
+                  <span>Next</span>
+                </div>
+                <div class="title">Graph Pipeline Demo</div>
+              </div>
+              <svg><use href="#svg-arrow-right"></use></svg>
+            </a>
+          <a class="prev-page" href="profiler_example.html">
+              <svg><use href="#svg-arrow-right"></use></svg>
+              <div class="page-info">
+                <div class="context">
+                  <span>Previous</span>
+                </div>
+                
+                <div class="title">Structured Profilers</div>
+                
+              </div>
+            </a>
+        </div>
+
+        <div class="related-information">
+              Copyright &#169; 2020, Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden, and Chris Wallace
+            |
+            Built with <a href="https://www.sphinx-doc.org/">Sphinx</a>
+              and
+              <a class="muted-link" href="https://pradyunsg.me">@pradyunsg</a>'s
+              <a href="https://github.com/pradyunsg/furo">Furo theme</a>.
+            |
+            <a class="muted-link" href="_sources/unstructured_profiler_example.nblink.txt"
+               rel="nofollow">
+              Show Source
+            </a>
+        </div>
+        
+      </footer>
+    </div>
+    <aside class="toc-drawer">
+      
+      
+      <div class="toc-sticky toc-scroll">
+        <div class="toc-title-container">
+          <span class="toc-title">
+            Contents
+          </span>
+        </div>
+        <div class="toc-tree-container">
+          <div class="toc-tree">
+            <ul>
+<li><a class="reference internal" href="#">Unstructured Profilers</a><ul>
+<li><a class="reference internal" href="#Reporting">Reporting</a></li>
+<li><a class="reference internal" href="#Profiler-Type">Profiler Type</a></li>
+<li><a class="reference internal" href="#Profiler-options">Profiler options</a></li>
+<li><a class="reference internal" href="#Updating-Profiles">Updating Profiles</a></li>
+<li><a class="reference internal" href="#Merging-Profiles">Merging Profiles</a></li>
+<li><a class="reference internal" href="#Differences-in-Data">Differences in Data</a></li>
+<li><a class="reference internal" href="#Saving-and-Loading-a-Profile">Saving and Loading a Profile</a></li>
+</ul>
+</li>
+</ul>
+
+          </div>
+        </div>
+      </div>
+      
+      
+    </aside>
+  </main>
+</div><script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/doctools.js"></script>
+    <script src="_static/scripts/main.js"></script>
+    <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
+    <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+    <script>window.MathJax = {"tex": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true}, "options": {"ignoreHtmlClass": "document", "processHtmlClass": "math|output_area"}}</script>
+    </body>
+</html>
\ No newline at end of file
diff --git a/docs/0.10.3/html/unstructured_profiler_example.ipynb b/docs/0.10.3/html/unstructured_profiler_example.ipynb
new file mode 100644
index 000000000..9ab754cc7
--- /dev/null
+++ b/docs/0.10.3/html/unstructured_profiler_example.ipynb
@@ -0,0 +1,436 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f37ca393",
+   "metadata": {},
+   "source": [
+    "# Unstructured Profilers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff9bd095",
+   "metadata": {},
+   "source": [
+    "**Data profiling** - *is the process of examining a dataset and collecting statistical or informational summaries about said dataset.*\n",
+    "\n",
+    "The Profiler class inside the DataProfiler is designed to generate *data profiles* via the Profiler class, which ingests either a Data class or a Pandas DataFrame. \n",
+    "\n",
+    "Currently, the Data class supports loading the following file formats:\n",
+    "\n",
+    "* Any delimited  (CSV, TSV, etc.)\n",
+    "* JSON object\n",
+    "* Avro\n",
+    "* Parquet\n",
+    "* Text files\n",
+    "* Pandas Series/Dataframe\n",
+    "\n",
+    "Once the data is loaded, the Profiler can calculate statistics and predict the entities (via the Labeler) of every column (csv) or key-value (JSON) store as well as dataset wide information, such as the number of nulls, duplicates, etc.\n",
+    "\n",
+    "This example will look at specifically the unstructured data types for unstructured profiling. This means that only text files, lists of strings, single column pandas dataframes/series, or DataProfile Data objects in string format will work with the unstructured profiler. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de58b9c4",
+   "metadata": {},
+   "source": [
+    "## Reporting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8001185a",
+   "metadata": {},
+   "source": [
+    "One of the primary purposes of the Profiler are to quickly identify what is in the dataset. This can be useful for analyzing a dataset prior to use or determining which columns could be useful for a given purpose.\n",
+    "\n",
+    "In terms of reporting, there are multiple reporting options:\n",
+    "\n",
+    "* **Pretty**: Floats are rounded to four decimal places, and lists are shortened.\n",
+    "* **Compact**: Similar to pretty, but removes detailed statistics\n",
+    "* **Serializable**: Output is json serializable and not prettified\n",
+    "* **Flat**: Nested Output is returned as a flattened dictionary\n",
+    "\n",
+    "The **Pretty** and **Compact** reports are the two most commonly used reports and includes `global_stats` and `data_stats` for the given dataset. `global_stats` contains overall properties of the data such as samples used and file encoding. `data_stats` contains specific properties and statistics for each text sample.\n",
+    "\n",
+    "For unstructured profiles, the report looks like this:\n",
+    "\n",
+    "```\n",
+    "\"global_stats\": {\n",
+    "    \"samples_used\": int,\n",
+    "    \"empty_line_count\": int,\n",
+    "    \"file_type\": string,\n",
+    "    \"encoding\": string\n",
+    "},\n",
+    "\"data_stats\": {\n",
+    "    \"data_label\": {\n",
+    "        \"entity_counts\": {\n",
+    "            \"word_level\": dict(int),\n",
+    "            \"true_char_level\": dict(int),\n",
+    "            \"postprocess_char_level\": dict(int)\n",
+    "        },\n",
+    "        \"times\": dict(float)\n",
+    "    },\n",
+    "    \"statistics\": {\n",
+    "        \"vocab\": list(char),\n",
+    "        \"words\": list(string),\n",
+    "        \"word_count\": dict(int),\n",
+    "        \"times\": dict(float)\n",
+    "    }\n",
+    "}\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5fcb5447",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import sys\n",
+    "import json\n",
+    "\n",
+    "try:\n",
+    "    sys.path.insert(0, '..')\n",
+    "    import dataprofiler as dp\n",
+    "except ImportError:\n",
+    "    import dataprofiler as dp\n",
+    "\n",
+    "data_path = \"../dataprofiler/tests/data\"\n",
+    "\n",
+    "# remove extra tf loggin\n",
+    "import tensorflow as tf\n",
+    "tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fc2df6",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\": \"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d183992",
+   "metadata": {},
+   "source": [
+    "## Profiler Type"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7ec39d2",
+   "metadata": {},
+   "source": [
+    "It should be noted, in addition to reading the input data from text files, DataProfiler allows the input data as a pandas dataframe, a pandas series, a list, and Data objects (when an unstructured format is selected) if the Profiler is explicitly chosen as unstructured."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29737f25",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# run data profiler and get the report\n",
+    "import pandas as pd\n",
+    "data = dp.Data(os.path.join(data_path, \"csv/SchoolDataSmall.csv\"), options={\"data_format\": \"records\"})\n",
+    "profile = dp.Profiler(data, profiler_type='unstructured')\n",
+    "\n",
+    "report  = profile.report(report_options={\"output_format\":\"pretty\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe02ad64",
+   "metadata": {},
+   "source": [
+    "## Profiler options"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40804cc9",
+   "metadata": {},
+   "source": [
+    "The DataProfiler has the ability to turn on and off components as needed. This is accomplished via the `ProfilerOptions` class.\n",
+    "\n",
+    "For example, if a user doesn't require vocab count information they may desire to turn off the word count functionality.\n",
+    "\n",
+    "Below, let's remove the vocab count and set the stop words. \n",
+    "\n",
+    "Full list of options in the Profiler section of the [DataProfiler documentation](https://capitalone.github.io/DataProfiler/profile_options.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d25d899",
+   "metadata": {
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "data = dp.Data(os.path.join(data_path, \"txt/discussion_reddit.txt\"))\n",
+    "\n",
+    "profile_options = dp.ProfilerOptions()\n",
+    "\n",
+    "# Setting multiple options via set\n",
+    "profile_options.set({ \"*.vocab.is_enabled\": False, \"*.is_case_sensitive\": True })\n",
+    "\n",
+    "# Set options via directly setting them\n",
+    "profile_options.unstructured_options.text.stop_words = [\"These\", \"are\", \"stop\", \"words\"]\n",
+    "\n",
+    "profile = dp.Profiler(data, options=profile_options)\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "\n",
+    "# Print the report\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052415a",
+   "metadata": {},
+   "source": [
+    "## Updating Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e02f746",
+   "metadata": {},
+   "source": [
+    "Beyond just profiling, one of the unique aspects of the DataProfiler is the ability to update the profiles. To update appropriately, the schema (columns / keys) must match appropriately."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7ab8022f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load and profile a CSV file\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Update the profile with new data:\n",
+    "new_data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile.update_profile(new_data)\n",
+    "\n",
+    "# Take a peek at the data\n",
+    "print(data.data)\n",
+    "print(new_data.data)\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile.report(report_options={\"output_format\": \"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66ec6dc5",
+   "metadata": {},
+   "source": [
+    "## Merging Profiles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2265fe9",
+   "metadata": {},
+   "source": [
+    "Merging profiles are an alternative method for updating profiles. Particularly, multiple profiles can be generated seperately, then added together with a simple `+` command: `profile3 = profile1 + profile2`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc68ca07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a CSV file with a schema\n",
+    "data1 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile1 = dp.Profiler(data1)\n",
+    "\n",
+    "# Load another CSV file with the same schema\n",
+    "data2 = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "profile2 = dp.Profiler(data2)\n",
+    "\n",
+    "# Merge the profiles\n",
+    "profile3 = profile1 + profile2\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report  = profile3.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7ea07dc6",
+   "metadata": {},
+   "source": [
+    "As you can see, the `update_profile` function and the `+` operator function similarly. The reason the `+` operator is important is that it's possible to *save and load profiles*, which we cover next."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4704961a",
+   "metadata": {},
+   "source": [
+    "## Differences in Data\n",
+    "Can be applied to both structured and unstructured datasets. \n",
+    "\n",
+    "Such reports can provide details on the differences between training and validation data like in this pseudo example:\n",
+    "```python\n",
+    "profiler_training = dp.Profiler(training_data)\n",
+    "profiler_testing = dp.Profiler(testing_data)\n",
+    "\n",
+    "validation_report = profiler_training.diff(profiler_testing)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f92c1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "# unstructured differences example\n",
+    "data_split_differences = profile1.diff(profile2)\n",
+    "pprint(data_split_differences)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30868000",
+   "metadata": {},
+   "source": [
+    "## Saving and Loading a Profile"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2858072",
+   "metadata": {},
+   "source": [
+    "Not only can the Profiler create and update profiles, it's also possible to save, load then manipulate profiles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ad9ca57",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "data = dp.Data(os.path.join(data_path, \"txt/sentence-3x.txt\"))\n",
+    "\n",
+    "# Generate a profile\n",
+    "profile = dp.Profiler(data)\n",
+    "\n",
+    "# Save a profile to disk for later (saves as pickle file)\n",
+    "profile.save(filepath=\"my_profile.pkl\")\n",
+    "\n",
+    "# Load a profile from disk\n",
+    "loaded_profile = dp.Profiler.load(\"my_profile.pkl\")\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f9859c2",
+   "metadata": {},
+   "source": [
+    "With the ability to save and load profiles, profiles can be generated via multiple machines then merged. Further, profiles can be stored and later used in applications such as change point detection, synthetic data generation, and more. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3571f2d0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load a multiple files via the Data class\n",
+    "filenames = [\"txt/sentence-3x.txt\",\n",
+    "             \"txt/sentence.txt\"]\n",
+    "data_objects = []\n",
+    "for filename in filenames:\n",
+    "    data_objects.append(dp.Data(os.path.join(data_path, filename)))\n",
+    "\n",
+    "print(data_objects)\n",
+    "# Generate and save profiles\n",
+    "for i in range(len(data_objects)):\n",
+    "    profile = dp.Profiler(data_objects[i])\n",
+    "    report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "    print(json.dumps(report, indent=4))\n",
+    "    profile.save(filepath=\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Load profiles and add them together\n",
+    "profile = None\n",
+    "for i in range(len(data_objects)):\n",
+    "    if profile is None:\n",
+    "        profile = dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "    else:\n",
+    "        profile += dp.Profiler.load(\"data-\"+str(i)+\".pkl\")\n",
+    "\n",
+    "\n",
+    "# Report the compact version of the profile\n",
+    "report = profile.report(report_options={\"output_format\":\"compact\"})\n",
+    "print(json.dumps(report, indent=4))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/source/dataprofiler.profilers.profiler_utils.rst b/docs/source/dataprofiler.profilers.profiler_utils.rst
new file mode 100644
index 000000000..5e9c6533c
--- /dev/null
+++ b/docs/source/dataprofiler.profilers.profiler_utils.rst
@@ -0,0 +1,7 @@
+Profiler Utils
+==============
+
+.. automodule:: dataprofiler.profilers.profiler_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/source/dataprofiler.profilers.rst b/docs/source/dataprofiler.profilers.rst
index b08153106..7a5b45394 100644
--- a/docs/source/dataprofiler.profilers.rst
+++ b/docs/source/dataprofiler.profilers.rst
@@ -28,10 +28,10 @@ Modules
    dataprofiler.profilers.order_column_profile
    dataprofiler.profilers.profile_builder
    dataprofiler.profilers.profiler_options
+   dataprofiler.profilers.profiler_utils
    dataprofiler.profilers.text_column_profile
    dataprofiler.profilers.unstructured_labeler_profile
    dataprofiler.profilers.unstructured_text_profile
-   dataprofiler.profilers.utils
 
 .. automodule:: dataprofiler.profilers
    :members:
diff --git a/docs/source/dataprofiler.rng_utils.rst b/docs/source/dataprofiler.rng_utils.rst
new file mode 100644
index 000000000..e4b84b46a
--- /dev/null
+++ b/docs/source/dataprofiler.rng_utils.rst
@@ -0,0 +1,7 @@
+Rng Utils
+=========
+
+.. automodule:: dataprofiler.rng_utils
+   :members:
+   :undoc-members:
+   :show-inheritance:
\ No newline at end of file
diff --git a/docs/source/dataprofiler.rst b/docs/source/dataprofiler.rst
index 7a57e0427..d5ed33a58 100644
--- a/docs/source/dataprofiler.rst
+++ b/docs/source/dataprofiler.rst
@@ -18,6 +18,7 @@ Modules
    :maxdepth: 4
 
    dataprofiler.dp_logging
+   dataprofiler.rng_utils
    dataprofiler.settings
    dataprofiler.version
 
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 9f604377e..9f3bb4369 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -475,6 +475,7 @@ In addition, it utilizes only the first 10,000 rows.
 
 Versions
 ========
+* `0.10.3`_
 * `0.10.2`_
 * `0.10.1`_
 * `0.10.0`_
@@ -575,3 +576,5 @@ Versions
 
 .. _0.10.2: ../../0.10.2/html/index.html
 
+.. _0.10.3: ../../0.10.3/html/index.html
+
diff --git a/docs/source/profiler.rst b/docs/source/profiler.rst
index 145bdeb47..b51a72313 100644
--- a/docs/source/profiler.rst
+++ b/docs/source/profiler.rst
@@ -662,7 +662,8 @@ Below is an breakdown of all the options.
 
   * **structured_options** - Options responsible for all structured data
 
-    * **multiprocess** - Option to enable multiprocessing. Automatically selects the optimal number of processes to utilize based on system constraints.
+    * **multiprocess** - Option to enable multiprocessing. If on, multiprocessing is toggled on if the dataset contains more than 750,000 rows or more than 20 columns.
+      Automatically selects the optimal number of pooling processes to utilize based on system constraints when toggled on.
 
       * is_enabled - (Boolean) Enables or disables multiprocessing
 
@@ -717,6 +718,8 @@ Below is an breakdown of all the options.
           If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
           methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
           Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
         * is_enabled - (Boolean) Enables or disables histogram and quantiles
     * **float** - Options for the float columns
 
@@ -772,6 +775,8 @@ Below is an breakdown of all the options.
           If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
           methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
           Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
         * is_enabled - (Boolean) Enables or disables histogram and quantiles        
     * **text** - Options for the text columns
 
@@ -825,6 +830,8 @@ Below is an breakdown of all the options.
           If multiple specified (list) the optimal method will be chosen by attempting the provided ones.  
           methods: 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt'  
           Note: 'auto' is used to choose optimally between 'fd' and 'sturges'
+        * num_quantiles - (Int) Number of quantiles to bin the data. 
+          Default value is set to 1,000 quantiles.
         * is_enabled - (Boolean) Enables or disables histogram and quantiles  
     * **datetime** - Options for the datetime columns
 
diff --git a/docs/update_documentation.py b/docs/update_documentation.py
index e780243bc..93d5d8b19 100644
--- a/docs/update_documentation.py
+++ b/docs/update_documentation.py
@@ -74,3 +74,13 @@
 )
 index_file.write(redirect_link)
 index_file.close()
+
+# update the profiler_options.html file to redirect to detailed options docs
+index_file = open("../profiler_options.html", "w")
+redirect_link = (
+    '<meta http-equiv="refresh" content="0; url=./docs/'
+    + version
+    + '/html/profiler.html#profile-options" />'
+)
+index_file.write(redirect_link)
+index_file.close()
diff --git a/index.html b/index.html
index 779e2aa6d..20c5ba7c2 100644
--- a/index.html
+++ b/index.html
@@ -1 +1 @@
-<meta http-equiv="refresh" content="0; url=./docs/0.10.2/html/index.html" />
\ No newline at end of file
+<meta http-equiv="refresh" content="0; url=./docs/0.10.3/html/index.html" />
\ No newline at end of file
diff --git a/profiler_options.html b/profiler_options.html
new file mode 100644
index 000000000..59fa9a354
--- /dev/null
+++ b/profiler_options.html
@@ -0,0 +1 @@
+<meta http-equiv="refresh" content="0; url=./docs/0.10.3/html/profiler.html#profile-options" />
\ No newline at end of file